Date: 2019-12-26 01:33:15 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 17654 rows and 500 columns.
#> Top rows are extracted by 'SD, CV, MAD, ATC' methods.
#> Subgroups are detected by 'hclust, kmeans, skmeans, pam, mclust, NMF' method.
#> Number of partitions are tried for k = 2, 3, 4, 5, 6.
#> Performed in total 30000 partitions by row resampling.
#>
#> Following methods can be applied to this 'ConsensusPartitionList' object:
#> [1] "cola_report" "collect_classes" "collect_plots" "collect_stats"
#> [5] "colnames" "functional_enrichment" "get_anno_col" "get_anno"
#> [9] "get_classes" "get_matrix" "get_membership" "get_stats"
#> [13] "is_best_k" "is_stable_k" "ncol" "nrow"
#> [17] "rownames" "show" "suggest_best_k" "test_to_known_factors"
#> [21] "top_rows_heatmap" "top_rows_overlap"
#>
#> You can get result for a single method by, e.g. object["SD", "hclust"] or object["SD:hclust"]
#> or a subset of methods by object[c("SD", "CV")], c("hclust", "kmeans")]
The call of run_all_consensus_partition_methods() was:
#> run_all_consensus_partition_methods(data = mat, mc.cores = 4)
Dimension of the input matrix:
mat = get_matrix(res_list)
dim(mat)
#> [1] 17654 500
The density distribution for each sample is visualized as in one column in the following heatmap. The clustering is based on the distance which is the Kolmogorov-Smirnov statistic between two distributions.
library(ComplexHeatmap)
densityHeatmap(mat, ylab = "value", cluster_columns = TRUE, show_column_names = FALSE,
mc.cores = 4)
Folowing table shows the best k (number of partitions) for each combination
of top-value methods and partition methods. Clicking on the method name in
the table goes to the section for a single combination of methods.
The cola vignette explains the definition of the metrics used for determining the best number of partitions.
suggest_best_k(res_list)
| The best k | 1-PAC | Mean silhouette | Concordance | Optional k | ||
|---|---|---|---|---|---|---|
| SD:mclust | 3 | 1.000 | 0.949 | 0.981 | ** | |
| ATC:skmeans | 2 | 0.996 | 0.966 | 0.986 | ** | |
| MAD:kmeans | 3 | 0.989 | 0.923 | 0.950 | ** | 2 |
| SD:kmeans | 3 | 0.985 | 0.948 | 0.964 | ** | 2 |
| CV:kmeans | 3 | 0.978 | 0.936 | 0.966 | ** | 2 |
| MAD:mclust | 3 | 0.976 | 0.938 | 0.977 | ** | 2 |
| ATC:pam | 2 | 0.975 | 0.955 | 0.981 | ** | |
| CV:NMF | 3 | 0.967 | 0.945 | 0.978 | ** | 2 |
| MAD:NMF | 2 | 0.966 | 0.949 | 0.980 | ** | |
| ATC:kmeans | 3 | 0.957 | 0.937 | 0.974 | ** | 2 |
| SD:pam | 3 | 0.952 | 0.930 | 0.974 | ** | 2 |
| ATC:NMF | 3 | 0.933 | 0.924 | 0.969 | * | 2 |
| MAD:skmeans | 6 | 0.931 | 0.882 | 0.950 | * | 2 |
| ATC:mclust | 3 | 0.918 | 0.937 | 0.975 | * | 2 |
| SD:NMF | 3 | 0.916 | 0.909 | 0.964 | * | 2 |
| MAD:pam | 3 | 0.907 | 0.903 | 0.952 | * | 2 |
| CV:skmeans | 3 | 0.903 | 0.921 | 0.968 | * | 2 |
| SD:skmeans | 6 | 0.902 | 0.853 | 0.929 | * | 2 |
| CV:pam | 3 | 0.817 | 0.880 | 0.953 | ||
| CV:mclust | 2 | 0.758 | 0.837 | 0.932 | ||
| ATC:hclust | 2 | 0.511 | 0.774 | 0.897 | ||
| SD:hclust | 3 | 0.380 | 0.562 | 0.756 | ||
| CV:hclust | 2 | 0.371 | 0.717 | 0.858 | ||
| MAD:hclust | 2 | 0.268 | 0.684 | 0.836 |
**: 1-PAC > 0.95, *: 1-PAC > 0.9
Cumulative distribution function curves of consensus matrix for all methods.
collect_plots(res_list, fun = plot_ecdf)
Consensus heatmaps for all methods. (What is a consensus heatmap?)
collect_plots(res_list, k = 2, fun = consensus_heatmap, mc.cores = 4)
collect_plots(res_list, k = 3, fun = consensus_heatmap, mc.cores = 4)
collect_plots(res_list, k = 4, fun = consensus_heatmap, mc.cores = 4)
collect_plots(res_list, k = 5, fun = consensus_heatmap, mc.cores = 4)
collect_plots(res_list, k = 6, fun = consensus_heatmap, mc.cores = 4)
Membership heatmaps for all methods. (What is a membership heatmap?)
collect_plots(res_list, k = 2, fun = membership_heatmap, mc.cores = 4)
collect_plots(res_list, k = 3, fun = membership_heatmap, mc.cores = 4)
collect_plots(res_list, k = 4, fun = membership_heatmap, mc.cores = 4)
collect_plots(res_list, k = 5, fun = membership_heatmap, mc.cores = 4)
collect_plots(res_list, k = 6, fun = membership_heatmap, mc.cores = 4)
Signature heatmaps for all methods. (What is a signature heatmap?)
Note in following heatmaps, rows are scaled.
collect_plots(res_list, k = 2, fun = get_signatures, mc.cores = 4)
collect_plots(res_list, k = 3, fun = get_signatures, mc.cores = 4)
collect_plots(res_list, k = 4, fun = get_signatures, mc.cores = 4)
collect_plots(res_list, k = 5, fun = get_signatures, mc.cores = 4)
collect_plots(res_list, k = 6, fun = get_signatures, mc.cores = 4)
The statistics used for measuring the stability of consensus partitioning. (How are they defined?)
get_stats(res_list, k = 2)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 2 0.987 0.956 0.982 0.500 0.500 0.500
#> CV:NMF 2 1.000 0.966 0.986 0.499 0.502 0.502
#> MAD:NMF 2 0.966 0.949 0.980 0.501 0.499 0.499
#> ATC:NMF 2 1.000 0.966 0.986 0.492 0.508 0.508
#> SD:skmeans 2 1.000 0.975 0.990 0.501 0.500 0.500
#> CV:skmeans 2 0.975 0.960 0.984 0.498 0.501 0.501
#> MAD:skmeans 2 1.000 0.970 0.988 0.501 0.499 0.499
#> ATC:skmeans 2 0.996 0.966 0.986 0.500 0.500 0.500
#> SD:mclust 2 0.813 0.883 0.951 0.483 0.506 0.506
#> CV:mclust 2 0.758 0.837 0.932 0.490 0.503 0.503
#> MAD:mclust 2 0.937 0.939 0.974 0.498 0.500 0.500
#> ATC:mclust 2 0.946 0.949 0.979 0.497 0.501 0.501
#> SD:kmeans 2 1.000 0.967 0.987 0.500 0.500 0.500
#> CV:kmeans 2 0.948 0.953 0.979 0.495 0.503 0.503
#> MAD:kmeans 2 1.000 0.963 0.986 0.501 0.499 0.499
#> ATC:kmeans 2 0.996 0.957 0.983 0.495 0.506 0.506
#> SD:pam 2 0.918 0.931 0.972 0.497 0.502 0.502
#> CV:pam 2 0.462 0.878 0.889 0.441 0.511 0.511
#> MAD:pam 2 0.910 0.941 0.975 0.499 0.500 0.500
#> ATC:pam 2 0.975 0.955 0.981 0.499 0.500 0.500
#> SD:hclust 2 0.278 0.687 0.841 0.418 0.522 0.522
#> CV:hclust 2 0.371 0.717 0.858 0.359 0.665 0.665
#> MAD:hclust 2 0.268 0.684 0.836 0.439 0.501 0.501
#> ATC:hclust 2 0.511 0.774 0.897 0.458 0.522 0.522
get_stats(res_list, k = 3)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 3 0.916 0.909 0.964 0.276 0.794 0.614
#> CV:NMF 3 0.967 0.945 0.978 0.253 0.821 0.662
#> MAD:NMF 3 0.815 0.851 0.935 0.298 0.773 0.577
#> ATC:NMF 3 0.933 0.924 0.969 0.322 0.732 0.524
#> SD:skmeans 3 0.853 0.844 0.936 0.302 0.797 0.613
#> CV:skmeans 3 0.903 0.921 0.968 0.279 0.821 0.656
#> MAD:skmeans 3 0.806 0.815 0.923 0.294 0.814 0.641
#> ATC:skmeans 3 0.858 0.794 0.926 0.253 0.852 0.711
#> SD:mclust 3 1.000 0.949 0.981 0.206 0.764 0.592
#> CV:mclust 3 0.701 0.763 0.869 0.247 0.748 0.559
#> MAD:mclust 3 0.976 0.938 0.977 0.170 0.814 0.663
#> ATC:mclust 3 0.918 0.937 0.975 0.170 0.828 0.686
#> SD:kmeans 3 0.985 0.948 0.964 0.194 0.856 0.725
#> CV:kmeans 3 0.978 0.936 0.966 0.209 0.841 0.702
#> MAD:kmeans 3 0.989 0.923 0.950 0.196 0.836 0.693
#> ATC:kmeans 3 0.957 0.937 0.974 0.238 0.743 0.555
#> SD:pam 3 0.952 0.930 0.974 0.189 0.848 0.714
#> CV:pam 3 0.817 0.880 0.953 0.340 0.875 0.761
#> MAD:pam 3 0.907 0.903 0.952 0.191 0.866 0.743
#> ATC:pam 3 0.646 0.697 0.796 0.262 0.774 0.575
#> SD:hclust 3 0.380 0.562 0.756 0.474 0.698 0.490
#> CV:hclust 3 0.361 0.694 0.817 0.164 0.913 0.878
#> MAD:hclust 3 0.353 0.559 0.752 0.433 0.719 0.498
#> ATC:hclust 3 0.412 0.580 0.781 0.354 0.706 0.495
get_stats(res_list, k = 4)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 4 0.881 0.881 0.936 0.1420 0.860 0.638
#> CV:NMF 4 0.750 0.778 0.879 0.1291 0.893 0.729
#> MAD:NMF 4 0.890 0.880 0.947 0.1315 0.843 0.592
#> ATC:NMF 4 0.765 0.706 0.860 0.0958 0.916 0.770
#> SD:skmeans 4 0.696 0.506 0.718 0.1187 0.877 0.677
#> CV:skmeans 4 0.883 0.873 0.939 0.1175 0.871 0.668
#> MAD:skmeans 4 0.712 0.807 0.862 0.1366 0.841 0.584
#> ATC:skmeans 4 0.884 0.865 0.933 0.1305 0.861 0.654
#> SD:mclust 4 0.731 0.711 0.843 0.1764 0.858 0.671
#> CV:mclust 4 0.707 0.754 0.833 0.1249 0.885 0.724
#> MAD:mclust 4 0.724 0.649 0.841 0.1732 0.872 0.700
#> ATC:mclust 4 0.635 0.697 0.791 0.1673 0.905 0.778
#> SD:kmeans 4 0.749 0.760 0.825 0.1708 0.864 0.674
#> CV:kmeans 4 0.689 0.666 0.820 0.1581 0.915 0.793
#> MAD:kmeans 4 0.699 0.805 0.820 0.1767 0.860 0.667
#> ATC:kmeans 4 0.828 0.844 0.933 0.1771 0.775 0.497
#> SD:pam 4 0.776 0.824 0.908 0.2078 0.823 0.594
#> CV:pam 4 0.685 0.542 0.792 0.1902 0.882 0.720
#> MAD:pam 4 0.810 0.862 0.924 0.1969 0.837 0.622
#> ATC:pam 4 0.677 0.786 0.885 0.1360 0.888 0.692
#> SD:hclust 4 0.478 0.575 0.705 0.1251 0.871 0.692
#> CV:hclust 4 0.386 0.747 0.825 0.4529 0.661 0.508
#> MAD:hclust 4 0.430 0.510 0.691 0.1103 0.916 0.757
#> ATC:hclust 4 0.488 0.588 0.758 0.1343 0.822 0.559
get_stats(res_list, k = 5)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 5 0.829 0.819 0.912 0.0661 0.890 0.636
#> CV:NMF 5 0.732 0.700 0.812 0.0770 0.901 0.691
#> MAD:NMF 5 0.764 0.693 0.848 0.0588 0.918 0.711
#> ATC:NMF 5 0.823 0.759 0.893 0.0623 0.910 0.715
#> SD:skmeans 5 0.827 0.801 0.909 0.0901 0.847 0.526
#> CV:skmeans 5 0.768 0.762 0.879 0.1059 0.896 0.653
#> MAD:skmeans 5 0.840 0.776 0.890 0.0739 0.912 0.680
#> ATC:skmeans 5 0.852 0.854 0.929 0.0576 0.931 0.773
#> SD:mclust 5 0.671 0.558 0.749 0.1255 0.826 0.505
#> CV:mclust 5 0.651 0.668 0.782 0.1014 0.863 0.620
#> MAD:mclust 5 0.689 0.590 0.770 0.1169 0.808 0.471
#> ATC:mclust 5 0.703 0.763 0.851 0.0806 0.872 0.658
#> SD:kmeans 5 0.886 0.863 0.914 0.1086 0.875 0.609
#> CV:kmeans 5 0.684 0.660 0.785 0.0948 0.815 0.497
#> MAD:kmeans 5 0.819 0.828 0.905 0.1028 0.888 0.643
#> ATC:kmeans 5 0.751 0.769 0.869 0.0802 0.886 0.626
#> SD:pam 5 0.742 0.744 0.879 0.0873 0.854 0.552
#> CV:pam 5 0.702 0.671 0.843 0.1017 0.821 0.499
#> MAD:pam 5 0.822 0.856 0.926 0.1018 0.910 0.696
#> ATC:pam 5 0.828 0.836 0.924 0.0915 0.849 0.534
#> SD:hclust 5 0.530 0.523 0.707 0.0723 0.853 0.603
#> CV:hclust 5 0.460 0.609 0.810 0.1017 0.972 0.925
#> MAD:hclust 5 0.491 0.476 0.714 0.0670 0.902 0.674
#> ATC:hclust 5 0.525 0.442 0.729 0.0507 0.951 0.839
get_stats(res_list, k = 6)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 6 0.804 0.762 0.871 0.0296 0.935 0.741
#> CV:NMF 6 0.730 0.426 0.718 0.0564 0.888 0.607
#> MAD:NMF 6 0.782 0.754 0.867 0.0296 0.928 0.712
#> ATC:NMF 6 0.784 0.757 0.863 0.0493 0.917 0.693
#> SD:skmeans 6 0.902 0.853 0.929 0.0358 0.909 0.612
#> CV:skmeans 6 0.770 0.645 0.803 0.0410 0.943 0.740
#> MAD:skmeans 6 0.931 0.882 0.950 0.0406 0.903 0.598
#> ATC:skmeans 6 0.852 0.751 0.888 0.0414 0.960 0.846
#> SD:mclust 6 0.704 0.665 0.809 0.0552 0.897 0.586
#> CV:mclust 6 0.682 0.573 0.749 0.0530 0.939 0.769
#> MAD:mclust 6 0.688 0.654 0.785 0.0629 0.897 0.590
#> ATC:mclust 6 0.711 0.697 0.819 0.0442 0.979 0.927
#> SD:kmeans 6 0.813 0.803 0.859 0.0528 0.933 0.712
#> CV:kmeans 6 0.655 0.445 0.722 0.0554 0.921 0.685
#> MAD:kmeans 6 0.886 0.866 0.910 0.0543 0.913 0.642
#> ATC:kmeans 6 0.745 0.683 0.813 0.0488 0.907 0.620
#> SD:pam 6 0.824 0.815 0.895 0.0503 0.920 0.668
#> CV:pam 6 0.715 0.626 0.800 0.0458 0.923 0.692
#> MAD:pam 6 0.819 0.779 0.888 0.0461 0.938 0.729
#> ATC:pam 6 0.710 0.543 0.768 0.0504 0.926 0.685
#> SD:hclust 6 0.571 0.517 0.697 0.0526 0.916 0.698
#> CV:hclust 6 0.534 0.611 0.771 0.0674 0.966 0.905
#> MAD:hclust 6 0.550 0.422 0.691 0.0457 0.943 0.776
#> ATC:hclust 6 0.559 0.510 0.715 0.0341 0.957 0.850
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 17654 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'SD' method.
#> Subgroups are detected by 'hclust' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 3.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.278 0.687 0.841 0.4185 0.522 0.522
#> 3 3 0.380 0.562 0.756 0.4735 0.698 0.490
#> 4 4 0.478 0.575 0.705 0.1251 0.871 0.692
#> 5 5 0.530 0.523 0.707 0.0723 0.853 0.603
#> 6 6 0.571 0.517 0.697 0.0526 0.916 0.698
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
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.8323 1.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 2 0.0000 0.7191 0.000 1.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.3431 0.8263 0.936 0.064
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.1184 0.8337 0.984 0.016
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.1414 0.8348 0.980 0.020
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.1633 0.8343 0.976 0.024
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 1 0.7883 0.6274 0.764 0.236
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 1 0.9795 0.1548 0.584 0.416
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.1414 0.8350 0.980 0.020
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 1 0.5059 0.7887 0.888 0.112
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.5946 0.7648 0.856 0.144
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 2 0.1184 0.7240 0.016 0.984
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.8323 1.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 2 0.5842 0.7669 0.140 0.860
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 1 0.3584 0.8211 0.932 0.068
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.9427 0.6608 0.360 0.640
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0000 0.8323 1.000 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.8323 1.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 1 0.2423 0.8329 0.960 0.040
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#> AE261B5D-3881-40B9-8EE7-26B950E0BE16 1 0.0376 0.8328 0.996 0.004
#> 8C9851D5-3091-4DE0-A59E-9122C0CA1CD2 2 0.9000 0.7191 0.316 0.684
#> C8180F95-4E9C-45DB-B959-B47F64167C2D 1 0.5408 0.7787 0.876 0.124
#> 552D3B42-8D22-4B64-B3A2-B3E5D51A8524 2 0.8267 0.7674 0.260 0.740
#> FED9F364-BC3F-4134-BF4B-4D24B0EB8315 1 0.3274 0.8270 0.940 0.060
#> 7B0D7792-C803-4DD0-B9BF-CB83DA2D199A 1 0.0376 0.8328 0.996 0.004
#> B4F82CBB-A47C-44C3-81AC-CF775FF06FCD 1 0.2423 0.8330 0.960 0.040
#> BFAB10CF-5B24-40F7-92E7-C2E60DD779EF 1 0.5408 0.7897 0.876 0.124
#> E4E259E1-48B2-4C76-B113-E46270742F53 2 0.8016 0.7621 0.244 0.756
#> 81FCBC31-367A-4B1C-A832-B133E4A43738 1 0.9833 0.1225 0.576 0.424
#> 8690FA0F-9C1C-4D97-813A-3FB56827FBFC 2 0.9795 0.5439 0.416 0.584
#> 9810CF0C-99D1-445B-B1F9-C956D2438495 2 0.0672 0.7227 0.008 0.992
#> 2F5073E1-9EDD-46B5-95E3-8314E2A5B620 1 0.3879 0.8218 0.924 0.076
#> B454F9FB-439A-43B5-877D-752D0F138AB5 2 0.7219 0.7767 0.200 0.800
#> 287F2B71-92F8-4D14-8249-C1BFBB254BE7 1 0.0376 0.8334 0.996 0.004
#> 52DC920F-0AD5-47CE-BD81-31843876B71E 1 0.0672 0.8338 0.992 0.008
#> 6BAC4B1B-C3FC-4A09-9821-232E510E6A47 1 0.3733 0.8232 0.928 0.072
#> A2B87EED-0D8E-4B20-85D3-FD9CC5E2E806 1 0.0000 0.8323 1.000 0.000
#> 43E6DB93-2DA6-4F0F-BF81-0C3869134D2B 1 0.0000 0.8323 1.000 0.000
#> 09A2ED74-A7C7-4DBB-8EDD-C80D0F0AEFDF 1 0.1633 0.8343 0.976 0.024
#> 35EDCB52-D4B5-4305-8A74-95EFE6F2BFB1 1 0.5629 0.7826 0.868 0.132
#> D5D18AF8-9CC2-496C-A83A-31BBA0195CFD 1 0.7139 0.7015 0.804 0.196
#> 03767EDF-2F8A-41DE-8D80-F4BE861225A3 1 0.7883 0.6468 0.764 0.236
#> 586BC656-AD9C-44EF-9ED4-87DEEB5C8AA6 1 0.0376 0.8333 0.996 0.004
#> 23CA1146-CB1B-4054-A4FF-200B87444BF9 1 0.0000 0.8323 1.000 0.000
#> 910E9B6D-E7D5-4C83-A19C-1EEA6E135639 1 0.5178 0.7861 0.884 0.116
#> F36353A3-6CE6-4347-A78B-0AAD8FAB14AD 1 0.0000 0.8323 1.000 0.000
#> 2045736E-7D0F-4B17-B74B-3B12AEE3E68C 1 0.0000 0.8323 1.000 0.000
#> 5EFA2C2D-30B3-4D66-9601-354711F9FC56 2 0.0000 0.7191 0.000 1.000
#> 3FBD381D-84C8-4680-980B-CC4B7924BE06 2 0.8555 0.7569 0.280 0.720
#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 1 0.8267 0.5913 0.740 0.260
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 1 0.0000 0.8323 1.000 0.000
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 2 0.9209 0.6943 0.336 0.664
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 2 0.9552 0.6211 0.376 0.624
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 1 0.2423 0.8329 0.960 0.040
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 2 0.8081 0.7596 0.248 0.752
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 1 0.9170 0.4290 0.668 0.332
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 1 0.4431 0.8128 0.908 0.092
#> A3343F40-F977-4F9B-856A-28781F10F4CD 2 0.9998 0.2950 0.492 0.508
#> DA144299-5541-47D7-A59E-C92896DF08FC 1 0.1184 0.8351 0.984 0.016
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 2 0.8144 0.7710 0.252 0.748
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.0000 0.8323 1.000 0.000
#> 617447CF-9327-4062-B22C-71A8944C948F 2 0.9954 0.4111 0.460 0.540
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0000 0.8323 1.000 0.000
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 2 0.9491 0.6466 0.368 0.632
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.0376 0.8328 0.996 0.004
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.8327 0.7662 0.264 0.736
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.0000 0.8323 1.000 0.000
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 2 0.0000 0.7191 0.000 1.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 1 0.9775 0.1550 0.588 0.412
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 2 0.0672 0.7227 0.008 0.992
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.3114 0.8282 0.944 0.056
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 1 0.6048 0.7710 0.852 0.148
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.8327 0.7651 0.264 0.736
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 1 0.4562 0.8094 0.904 0.096
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.0000 0.8323 1.000 0.000
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 2 0.4161 0.7512 0.084 0.916
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 2 0.6801 0.7736 0.180 0.820
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 1 0.0376 0.8334 0.996 0.004
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 1 0.7950 0.6515 0.760 0.240
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.0376 0.8334 0.996 0.004
#> DA1301D3-1F84-46C5-AB44-079493A81A51 1 0.3274 0.8273 0.940 0.060
#> A12B1681-B598-40C3-80FE-1801F3F1189D 1 0.4431 0.8128 0.908 0.092
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 1 0.9909 0.0316 0.556 0.444
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 1 0.5294 0.7820 0.880 0.120
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.7219 0.7767 0.200 0.800
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.9881 0.4908 0.436 0.564
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 1 0.3733 0.8230 0.928 0.072
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.7883 0.7738 0.236 0.764
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.4298 0.7522 0.088 0.912
#> 1D0379B1-0E99-4E6D-B890-907C92860654 1 0.9833 0.1196 0.576 0.424
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 1 0.9988 -0.1800 0.520 0.480
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 1 0.9286 0.3946 0.656 0.344
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 1 0.9170 0.4290 0.668 0.332
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0000 0.8323 1.000 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.8813 0.7389 0.300 0.700
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.0376 0.8334 0.996 0.004
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.7883 0.7738 0.236 0.764
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0000 0.8323 1.000 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.8327 0.7651 0.264 0.736
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 1 0.5946 0.7747 0.856 0.144
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.8443 0.7619 0.272 0.728
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.1414 0.8348 0.980 0.020
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.9608 0.6139 0.384 0.616
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.8323 1.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.8323 1.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.9129 0.7036 0.328 0.672
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.1633 0.8347 0.976 0.024
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.8555 0.7566 0.280 0.720
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 2 0.0000 0.7191 0.000 1.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 2 0.4939 0.7591 0.108 0.892
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 2 0.0938 0.7244 0.012 0.988
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 1 0.4815 0.7938 0.896 0.104
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.6973 0.7717 0.188 0.812
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 1 0.9775 0.1550 0.588 0.412
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.8955 0.7252 0.312 0.688
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 1 0.9686 0.2226 0.604 0.396
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.8323 1.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.8323 1.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.0672 0.8342 0.992 0.008
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0000 0.8323 1.000 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.8443 0.7589 0.272 0.728
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.8555 0.7587 0.280 0.720
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0000 0.8323 1.000 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.8555 0.7539 0.280 0.720
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.0376 0.8335 0.996 0.004
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.0000 0.8323 1.000 0.000
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 2 0.0000 0.7191 0.000 1.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.0376 0.8328 0.996 0.004
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0237 0.8466 0.996 0.004 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.7272 0.000 0.000 1.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.5158 0.7675 0.764 0.232 0.004
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.2625 0.8348 0.916 0.084 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.3340 0.8359 0.880 0.120 0.000
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.3267 0.8338 0.884 0.116 0.000
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 2 0.7363 0.4277 0.280 0.656 0.064
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 2 0.5722 0.5716 0.068 0.800 0.132
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.3412 0.8352 0.876 0.124 0.000
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 2 0.6521 -0.2680 0.492 0.504 0.004
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 2 0.6518 -0.3175 0.484 0.512 0.004
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 3 0.2711 0.6986 0.000 0.088 0.912
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0237 0.8466 0.996 0.004 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 3 0.5678 0.4420 0.000 0.316 0.684
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 1 0.6280 0.4080 0.540 0.460 0.000
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.6603 0.4423 0.020 0.648 0.332
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0237 0.8466 0.996 0.004 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0237 0.8466 0.996 0.004 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 1 0.4605 0.7949 0.796 0.204 0.000
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.4605 0.7911 0.796 0.204 0.000
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 2 0.6445 0.2845 0.308 0.672 0.020
#> 83453F80-8A68-4A3C-995D-85CFB1011249 3 0.3192 0.6806 0.000 0.112 0.888
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 2 0.4821 0.5426 0.120 0.840 0.040
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0237 0.8466 0.996 0.004 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 2 0.6913 0.5231 0.056 0.696 0.248
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 1 0.5404 0.7541 0.740 0.256 0.004
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.6274 0.2269 0.000 0.544 0.456
#> 375FE390-434B-41D3-9029-84065B1D7B6F 2 0.6570 0.5016 0.028 0.680 0.292
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0237 0.8466 0.996 0.004 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.6267 0.2402 0.000 0.548 0.452
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.6539 0.4967 0.028 0.684 0.288
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.6309 0.1168 0.000 0.504 0.496
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.6309 0.1168 0.000 0.504 0.496
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.5580 0.7487 0.736 0.256 0.008
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 3 0.3116 0.6877 0.000 0.108 0.892
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 2 0.6644 0.5743 0.108 0.752 0.140
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 1 0.5156 0.7816 0.776 0.216 0.008
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0000 0.7272 0.000 0.000 1.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.1163 0.8509 0.972 0.028 0.000
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.0000 0.7272 0.000 0.000 1.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 2 0.4676 0.5450 0.112 0.848 0.040
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.0000 0.7272 0.000 0.000 1.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.0000 0.7272 0.000 0.000 1.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 1 0.6326 0.6976 0.688 0.292 0.020
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 2 0.6513 -0.2264 0.476 0.520 0.004
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.0747 0.8480 0.984 0.016 0.000
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 2 0.5955 0.5685 0.048 0.772 0.180
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 1 0.7056 0.6616 0.656 0.300 0.044
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.0592 0.8474 0.988 0.012 0.000
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 2 0.6062 0.3702 0.276 0.708 0.016
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.6473 0.4467 0.016 0.652 0.332
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 2 0.6442 -0.0851 0.432 0.564 0.004
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.0000 0.7272 0.000 0.000 1.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.3192 0.8313 0.888 0.112 0.000
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 3 0.6302 -0.0460 0.000 0.480 0.520
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 2 0.5331 0.5562 0.100 0.824 0.076
#> 208165C0-229B-49E2-A22A-575CA3157C9E 2 0.6665 0.5177 0.036 0.688 0.276
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 1 0.7150 0.5253 0.616 0.348 0.036
#> 01397021-8495-4D89-885A-166B4DBA0122 3 0.0000 0.7272 0.000 0.000 1.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 3 0.0000 0.7272 0.000 0.000 1.000
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.1163 0.8502 0.972 0.028 0.000
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 2 0.5319 0.5733 0.072 0.824 0.104
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 2 0.6140 0.3260 0.000 0.596 0.404
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 3 0.6308 -0.0301 0.000 0.492 0.508
#> AA569A06-0F37-4492-93F3-60A4539A3E82 2 0.5536 0.5600 0.024 0.776 0.200
#> BC53FB75-94CA-48C3-875B-5987037D186F 2 0.6513 0.1977 0.004 0.520 0.476
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 1 0.0747 0.8503 0.984 0.016 0.000
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 3 0.6309 -0.1194 0.000 0.500 0.500
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 2 0.6389 0.5713 0.108 0.768 0.124
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#> 2045736E-7D0F-4B17-B74B-3B12AEE3E68C 1 0.0237 0.8466 0.996 0.004 0.000
#> 5EFA2C2D-30B3-4D66-9601-354711F9FC56 3 0.0000 0.7272 0.000 0.000 1.000
#> 3FBD381D-84C8-4680-980B-CC4B7924BE06 2 0.6252 0.2493 0.000 0.556 0.444
#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 2 0.6523 0.4759 0.228 0.724 0.048
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 1 0.1411 0.8501 0.964 0.036 0.000
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 2 0.6721 0.3909 0.016 0.604 0.380
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 2 0.7123 0.4157 0.032 0.604 0.364
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 1 0.4291 0.8077 0.820 0.180 0.000
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 3 0.6302 -0.0442 0.000 0.480 0.520
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 2 0.4786 0.5469 0.112 0.844 0.044
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 1 0.5926 0.6423 0.644 0.356 0.000
#> A3343F40-F977-4F9B-856A-28781F10F4CD 2 0.6523 0.5538 0.048 0.724 0.228
#> DA144299-5541-47D7-A59E-C92896DF08FC 1 0.2878 0.8460 0.904 0.096 0.000
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 3 0.6307 -0.0594 0.000 0.488 0.512
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.0237 0.8466 0.996 0.004 0.000
#> 617447CF-9327-4062-B22C-71A8944C948F 2 0.6183 0.5399 0.032 0.732 0.236
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0237 0.8466 0.996 0.004 0.000
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 2 0.6553 0.4517 0.020 0.656 0.324
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.0892 0.8495 0.980 0.020 0.000
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.6280 0.2001 0.000 0.540 0.460
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.0237 0.8466 0.996 0.004 0.000
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 3 0.0000 0.7272 0.000 0.000 1.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 2 0.6425 0.5685 0.096 0.764 0.140
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 3 0.1860 0.7109 0.000 0.052 0.948
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.4842 0.7671 0.776 0.224 0.000
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 1 0.7357 0.6081 0.620 0.332 0.048
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.6295 0.1782 0.000 0.528 0.472
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 1 0.6369 0.6774 0.668 0.316 0.016
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.0747 0.8489 0.984 0.016 0.000
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 3 0.4887 0.5848 0.000 0.228 0.772
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 3 0.6045 0.3219 0.000 0.380 0.620
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 1 0.2261 0.8492 0.932 0.068 0.000
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 1 0.8875 0.3411 0.508 0.364 0.128
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.1529 0.8483 0.960 0.040 0.000
#> DA1301D3-1F84-46C5-AB44-079493A81A51 1 0.5404 0.7527 0.740 0.256 0.004
#> A12B1681-B598-40C3-80FE-1801F3F1189D 1 0.5882 0.6521 0.652 0.348 0.000
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 2 0.5719 0.5658 0.052 0.792 0.156
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 2 0.6247 0.0934 0.376 0.620 0.004
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 3 0.6154 0.2284 0.000 0.408 0.592
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.6341 0.5219 0.032 0.716 0.252
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 1 0.5536 0.7634 0.752 0.236 0.012
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 3 0.6308 -0.0301 0.000 0.492 0.508
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 3 0.4931 0.5813 0.000 0.232 0.768
#> 1D0379B1-0E99-4E6D-B890-907C92860654 2 0.5538 0.5710 0.060 0.808 0.132
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.6806 0.5482 0.060 0.712 0.228
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 2 0.5357 0.5569 0.116 0.820 0.064
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 2 0.4786 0.5469 0.112 0.844 0.044
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0424 0.8468 0.992 0.008 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.6398 0.3162 0.004 0.580 0.416
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.1753 0.8506 0.952 0.048 0.000
#> ECC40A03-488E-4076-8A3A-234D968623AD 3 0.6308 -0.0301 0.000 0.492 0.508
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0424 0.8474 0.992 0.008 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.6295 0.1782 0.000 0.528 0.472
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 1 0.7285 0.6248 0.632 0.320 0.048
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.6252 0.2447 0.000 0.556 0.444
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.3116 0.8415 0.892 0.108 0.000
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.6867 0.4524 0.028 0.636 0.336
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0237 0.8466 0.996 0.004 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0237 0.8466 0.996 0.004 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.6062 0.3607 0.000 0.616 0.384
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.3983 0.8227 0.852 0.144 0.004
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.6215 0.2920 0.000 0.572 0.428
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.7272 0.000 0.000 1.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 3 0.4750 0.5930 0.000 0.216 0.784
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.1529 0.7154 0.000 0.040 0.960
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 2 0.6521 -0.2634 0.492 0.504 0.004
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 3 0.6045 0.2793 0.000 0.380 0.620
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.6663 0.5660 0.096 0.748 0.156
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.6330 0.3353 0.004 0.600 0.396
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.5481 0.5710 0.076 0.816 0.108
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0237 0.8466 0.996 0.004 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0237 0.8466 0.996 0.004 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.2625 0.8469 0.916 0.084 0.000
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0747 0.8484 0.984 0.016 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.6513 0.1977 0.004 0.520 0.476
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.6505 0.2031 0.004 0.528 0.468
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0424 0.8464 0.992 0.008 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.6505 0.2237 0.004 0.528 0.468
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.1964 0.8503 0.944 0.056 0.000
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.1163 0.8495 0.972 0.028 0.000
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.7272 0.000 0.000 1.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.1964 0.8507 0.944 0.056 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.76138 1.000 0.000 0.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.4222 0.97078 0.000 0.272 0.728 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.5443 0.64435 0.660 0.020 0.008 0.312
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.3612 0.74546 0.840 0.004 0.012 0.144
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.4153 0.73351 0.784 0.008 0.004 0.204
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.4018 0.74679 0.812 0.016 0.004 0.168
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 2 0.9304 -0.25003 0.140 0.360 0.144 0.356
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 2 0.6668 0.29964 0.008 0.500 0.064 0.428
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.4051 0.73399 0.784 0.004 0.004 0.208
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 4 0.8271 0.60927 0.316 0.064 0.124 0.496
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 4 0.7847 0.25818 0.364 0.068 0.072 0.496
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 3 0.5125 0.79531 0.000 0.388 0.604 0.008
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.76138 1.000 0.000 0.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 2 0.6042 0.05481 0.000 0.580 0.368 0.052
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 1 0.8757 -0.28808 0.404 0.116 0.100 0.380
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.3150 0.61077 0.004 0.888 0.072 0.036
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0000 0.76138 1.000 0.000 0.000 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.76138 1.000 0.000 0.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 1 0.4857 0.67750 0.700 0.016 0.000 0.284
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.5061 0.67884 0.704 0.020 0.004 0.272
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 4 0.8098 0.39352 0.180 0.228 0.048 0.544
#> 83453F80-8A68-4A3C-995D-85CFB1011249 3 0.5161 0.75820 0.000 0.400 0.592 0.008
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 2 0.7576 0.25077 0.020 0.568 0.212 0.200
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0000 0.76138 1.000 0.000 0.000 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 2 0.7287 0.33636 0.008 0.464 0.116 0.412
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 1 0.5669 0.60496 0.620 0.028 0.004 0.348
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.2737 0.57674 0.000 0.888 0.104 0.008
#> 375FE390-434B-41D3-9029-84065B1D7B6F 2 0.6824 0.55905 0.008 0.616 0.128 0.248
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0188 0.76035 0.996 0.000 0.004 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.2737 0.57634 0.000 0.888 0.104 0.008
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.4041 0.63416 0.004 0.840 0.056 0.100
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.6449 0.49021 0.000 0.644 0.204 0.152
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.6449 0.49021 0.000 0.644 0.204 0.152
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.5797 0.60802 0.624 0.024 0.012 0.340
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 3 0.5183 0.75536 0.000 0.408 0.584 0.008
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 2 0.7223 0.34347 0.044 0.552 0.060 0.344
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 1 0.5595 0.64985 0.664 0.024 0.012 0.300
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.4222 0.97078 0.000 0.272 0.728 0.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.1209 0.76785 0.964 0.004 0.000 0.032
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.4222 0.97078 0.000 0.272 0.728 0.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 2 0.7514 0.26302 0.020 0.576 0.212 0.192
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.4222 0.97078 0.000 0.272 0.728 0.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.4222 0.97078 0.000 0.272 0.728 0.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 1 0.6487 0.54837 0.580 0.044 0.020 0.356
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 4 0.8344 0.65211 0.268 0.080 0.128 0.524
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.1302 0.76772 0.956 0.000 0.000 0.044
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 2 0.5563 0.54895 0.004 0.736 0.100 0.160
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 1 0.6952 0.51894 0.564 0.052 0.036 0.348
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.1978 0.76839 0.928 0.000 0.004 0.068
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 4 0.7837 0.37741 0.140 0.244 0.048 0.568
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.2944 0.61738 0.004 0.900 0.052 0.044
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 4 0.8649 0.61485 0.212 0.112 0.152 0.524
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.4222 0.97078 0.000 0.272 0.728 0.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.4519 0.65530 0.804 0.004 0.052 0.140
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 2 0.6534 0.45904 0.000 0.632 0.220 0.148
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 2 0.7340 0.32912 0.012 0.580 0.200 0.208
#> 208165C0-229B-49E2-A22A-575CA3157C9E 2 0.7021 0.52565 0.012 0.596 0.124 0.268
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 1 0.8571 -0.29289 0.476 0.104 0.104 0.316
#> 01397021-8495-4D89-885A-166B4DBA0122 3 0.4222 0.97078 0.000 0.272 0.728 0.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 3 0.4222 0.97078 0.000 0.272 0.728 0.000
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.1661 0.77058 0.944 0.000 0.004 0.052
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 2 0.6627 0.43022 0.012 0.660 0.148 0.180
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 2 0.2635 0.60721 0.000 0.904 0.076 0.020
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 2 0.4485 0.50708 0.000 0.772 0.200 0.028
#> AA569A06-0F37-4492-93F3-60A4539A3E82 2 0.6426 0.50454 0.004 0.620 0.088 0.288
#> BC53FB75-94CA-48C3-875B-5987037D186F 2 0.5613 0.55176 0.000 0.724 0.156 0.120
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 1 0.1635 0.76434 0.948 0.000 0.008 0.044
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 2 0.6482 0.48786 0.000 0.640 0.208 0.152
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 2 0.7524 0.30690 0.040 0.524 0.084 0.352
#> DF67F589-A607-4B95-96B8-4BB344132312 2 0.4485 0.50708 0.000 0.772 0.200 0.028
#> A65233E6-C146-4ACF-8DDE-5FB12D8D9637 3 0.4222 0.97078 0.000 0.272 0.728 0.000
#> 7578C9A3-FFF8-45C4-AC28-1C6141A9A2AD 1 0.0000 0.76138 1.000 0.000 0.000 0.000
#> 4DF775B9-E2FE-4F5E-8329-C37E21C5D10E 1 0.7324 0.43848 0.516 0.060 0.044 0.380
#> 5E6B86C6-3D79-47BB-9FAF-CA22659CFEA7 1 0.6664 0.44911 0.524 0.036 0.028 0.412
#> 53286128-668B-47EA-9A5F-D768FDCCBE88 1 0.4954 0.65988 0.800 0.052 0.028 0.120
#> 01C9F351-97FE-4037-A879-9D96A3DD3FBB 3 0.4950 0.81198 0.000 0.376 0.620 0.004
#> 5487DB21-6A58-46AC-A2A1-E343082D41D8 1 0.3668 0.74576 0.808 0.004 0.000 0.188
#> 0FB3E997-4E31-4FA6-9654-11C3C0AF8D86 2 0.3335 0.57695 0.000 0.860 0.120 0.020
#> A0706E80-FDF9-4721-BEB4-90527F6D38C4 2 0.2706 0.59908 0.000 0.900 0.080 0.020
#> 5260226E-1826-4F54-8237-28993DD2EF04 3 0.4222 0.97078 0.000 0.272 0.728 0.000
#> F53F71A7-A399-49AB-8657-019C5C56F48C 2 0.7527 0.35049 0.008 0.452 0.144 0.396
#> 008159F2-5247-479A-8BFE-C394888D0B74 2 0.7690 0.25178 0.020 0.552 0.212 0.216
#> 9E6BA6FB-35F2-4510-94AE-3E7CDFED3D47 3 0.4222 0.97078 0.000 0.272 0.728 0.000
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#> 09A2ED74-A7C7-4DBB-8EDD-C80D0F0AEFDF 1 0.4018 0.74661 0.812 0.016 0.004 0.168
#> 35EDCB52-D4B5-4305-8A74-95EFE6F2BFB1 1 0.7089 0.51800 0.572 0.060 0.040 0.328
#> D5D18AF8-9CC2-496C-A83A-31BBA0195CFD 4 0.7917 0.44105 0.180 0.184 0.056 0.580
#> 03767EDF-2F8A-41DE-8D80-F4BE861225A3 4 0.8594 0.19727 0.288 0.200 0.052 0.460
#> 586BC656-AD9C-44EF-9ED4-87DEEB5C8AA6 1 0.1109 0.76489 0.968 0.000 0.004 0.028
#> 23CA1146-CB1B-4054-A4FF-200B87444BF9 1 0.0188 0.76035 0.996 0.000 0.004 0.000
#> 910E9B6D-E7D5-4C83-A19C-1EEA6E135639 1 0.8608 -0.49427 0.404 0.096 0.104 0.396
#> F36353A3-6CE6-4347-A78B-0AAD8FAB14AD 1 0.0188 0.76035 0.996 0.000 0.004 0.000
#> 2045736E-7D0F-4B17-B74B-3B12AEE3E68C 1 0.0188 0.76035 0.996 0.000 0.004 0.000
#> 5EFA2C2D-30B3-4D66-9601-354711F9FC56 3 0.4222 0.97078 0.000 0.272 0.728 0.000
#> 3FBD381D-84C8-4680-980B-CC4B7924BE06 2 0.2867 0.58091 0.000 0.884 0.104 0.012
#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 4 0.8147 0.33380 0.124 0.284 0.064 0.528
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 1 0.2760 0.76332 0.872 0.000 0.000 0.128
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 2 0.2816 0.61082 0.000 0.900 0.064 0.036
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 2 0.5080 0.60524 0.000 0.764 0.144 0.092
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 1 0.4869 0.69330 0.720 0.016 0.004 0.260
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 2 0.6664 0.45232 0.000 0.616 0.232 0.152
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 2 0.7449 0.27359 0.020 0.584 0.212 0.184
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 1 0.6676 0.43282 0.516 0.036 0.028 0.420
#> A3343F40-F977-4F9B-856A-28781F10F4CD 2 0.5437 0.59451 0.004 0.748 0.104 0.144
#> DA144299-5541-47D7-A59E-C92896DF08FC 1 0.3636 0.75505 0.820 0.000 0.008 0.172
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 2 0.3900 0.53330 0.000 0.816 0.164 0.020
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.0188 0.76035 0.996 0.000 0.004 0.000
#> 617447CF-9327-4062-B22C-71A8944C948F 2 0.4824 0.60145 0.000 0.780 0.076 0.144
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0188 0.76035 0.996 0.000 0.004 0.000
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 2 0.3292 0.61163 0.004 0.880 0.080 0.036
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.0895 0.76716 0.976 0.004 0.000 0.020
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.3108 0.56397 0.000 0.872 0.112 0.016
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.0188 0.76254 0.996 0.000 0.000 0.004
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 3 0.4222 0.97078 0.000 0.272 0.728 0.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 2 0.6747 0.43024 0.020 0.660 0.184 0.136
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 3 0.4585 0.88928 0.000 0.332 0.668 0.000
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.5615 0.63003 0.748 0.056 0.028 0.168
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 1 0.7376 0.43830 0.516 0.064 0.044 0.376
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.3161 0.55938 0.000 0.864 0.124 0.012
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 1 0.6737 0.50662 0.544 0.048 0.024 0.384
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.0844 0.76551 0.980 0.004 0.004 0.012
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 2 0.5143 -0.34916 0.000 0.540 0.456 0.004
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 2 0.4769 0.20606 0.000 0.684 0.308 0.008
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 1 0.3402 0.75535 0.832 0.004 0.000 0.164
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 1 0.8729 0.10325 0.400 0.152 0.072 0.376
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.1798 0.74695 0.944 0.000 0.016 0.040
#> DA1301D3-1F84-46C5-AB44-079493A81A51 1 0.5669 0.60448 0.620 0.028 0.004 0.348
#> A12B1681-B598-40C3-80FE-1801F3F1189D 1 0.6664 0.44911 0.524 0.036 0.028 0.412
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 2 0.6549 0.30566 0.000 0.488 0.076 0.436
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 4 0.9355 0.47721 0.140 0.228 0.200 0.432
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.5636 0.39299 0.000 0.680 0.260 0.060
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.4606 0.62024 0.008 0.808 0.060 0.124
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 1 0.5675 0.62460 0.644 0.028 0.008 0.320
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.4485 0.50708 0.000 0.772 0.200 0.028
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.5137 -0.33915 0.000 0.544 0.452 0.004
#> 1D0379B1-0E99-4E6D-B890-907C92860654 2 0.6726 0.30598 0.008 0.496 0.068 0.428
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.6586 0.36925 0.000 0.500 0.080 0.420
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 2 0.7513 0.27895 0.016 0.536 0.144 0.304
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 2 0.7449 0.27359 0.020 0.584 0.212 0.184
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0376 0.75967 0.992 0.000 0.004 0.004
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.2861 0.59439 0.000 0.888 0.096 0.016
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.3052 0.76200 0.860 0.004 0.000 0.136
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.4485 0.50708 0.000 0.772 0.200 0.028
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.1474 0.76883 0.948 0.000 0.000 0.052
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.3105 0.56182 0.000 0.868 0.120 0.012
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 1 0.7294 0.45378 0.524 0.064 0.040 0.372
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.2805 0.58153 0.000 0.888 0.100 0.012
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.3632 0.75849 0.832 0.004 0.008 0.156
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.4222 0.62844 0.004 0.832 0.084 0.080
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0188 0.76035 0.996 0.000 0.004 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.76138 1.000 0.000 0.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.2915 0.59922 0.000 0.892 0.080 0.028
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.4160 0.72723 0.792 0.004 0.012 0.192
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.2662 0.59605 0.000 0.900 0.084 0.016
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.4222 0.97078 0.000 0.272 0.728 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 2 0.5288 -0.41547 0.000 0.520 0.472 0.008
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.4500 0.91851 0.000 0.316 0.684 0.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 4 0.8474 0.63707 0.288 0.072 0.144 0.496
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.6839 0.24329 0.000 0.552 0.328 0.120
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.6808 0.43897 0.020 0.652 0.196 0.132
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.3372 0.59362 0.000 0.868 0.096 0.036
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.7146 0.40909 0.016 0.612 0.168 0.204
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0188 0.76035 0.996 0.000 0.004 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0188 0.76035 0.996 0.000 0.004 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.3672 0.75731 0.824 0.000 0.012 0.164
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.1824 0.76779 0.936 0.000 0.004 0.060
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.5613 0.55176 0.000 0.724 0.156 0.120
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.3984 0.58200 0.000 0.828 0.132 0.040
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0524 0.76117 0.988 0.000 0.004 0.008
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.5361 0.56085 0.000 0.744 0.148 0.108
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.2302 0.76313 0.924 0.008 0.008 0.060
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.2589 0.76480 0.884 0.000 0.000 0.116
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.4222 0.97078 0.000 0.272 0.728 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.3052 0.76562 0.860 0.000 0.004 0.136
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0451 0.7999 0.988 0.000 0.000 0.004 0.008
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0404 0.8372 0.000 0.012 0.988 0.000 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 5 0.4838 0.1551 0.460 0.008 0.004 0.004 0.524
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.4629 0.6635 0.736 0.016 0.004 0.028 0.216
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.4595 0.3324 0.588 0.008 0.000 0.004 0.400
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.4047 0.5225 0.676 0.000 0.000 0.004 0.320
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 2 0.7995 -0.0844 0.084 0.372 0.004 0.340 0.200
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 2 0.7157 0.3517 0.004 0.452 0.032 0.160 0.352
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.4524 0.2876 0.572 0.004 0.000 0.004 0.420
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 4 0.5449 0.7456 0.236 0.032 0.000 0.676 0.056
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 4 0.7484 0.0706 0.304 0.036 0.000 0.384 0.276
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 3 0.3280 0.6949 0.000 0.176 0.812 0.000 0.012
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0451 0.8002 0.988 0.000 0.000 0.004 0.008
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 3 0.5484 0.0490 0.000 0.392 0.540 0.000 0.068
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 4 0.8479 0.1448 0.292 0.132 0.004 0.292 0.280
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.3845 0.6279 0.000 0.812 0.124 0.060 0.004
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0451 0.7999 0.988 0.000 0.000 0.004 0.008
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0451 0.7999 0.988 0.000 0.000 0.004 0.008
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 5 0.4559 0.0527 0.480 0.000 0.000 0.008 0.512
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 5 0.4450 0.0490 0.488 0.000 0.000 0.004 0.508
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 5 0.6362 0.2036 0.060 0.144 0.008 0.128 0.660
#> 83453F80-8A68-4A3C-995D-85CFB1011249 3 0.3422 0.6594 0.000 0.200 0.792 0.004 0.004
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 2 0.4937 0.3089 0.004 0.580 0.000 0.392 0.024
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0566 0.8005 0.984 0.000 0.000 0.004 0.012
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 5 0.7488 -0.2172 0.000 0.332 0.136 0.084 0.448
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 5 0.4743 0.3040 0.400 0.004 0.004 0.008 0.584
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.4083 0.6013 0.000 0.744 0.228 0.000 0.028
#> 375FE390-434B-41D3-9029-84065B1D7B6F 2 0.7438 0.5364 0.000 0.500 0.152 0.088 0.260
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 0.7991 1.000 0.000 0.000 0.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.3918 0.5966 0.000 0.752 0.232 0.008 0.008
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.5359 0.6469 0.000 0.736 0.112 0.076 0.076
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.6898 0.4075 0.000 0.444 0.328 0.012 0.216
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.6898 0.4075 0.000 0.444 0.328 0.012 0.216
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 5 0.4460 0.3219 0.392 0.000 0.004 0.004 0.600
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 3 0.3530 0.6586 0.000 0.204 0.784 0.000 0.012
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 2 0.7526 0.4308 0.020 0.480 0.032 0.188 0.280
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 5 0.4551 0.2052 0.436 0.000 0.004 0.004 0.556
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0404 0.8372 0.000 0.012 0.988 0.000 0.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.2338 0.7719 0.884 0.000 0.000 0.004 0.112
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.0404 0.8372 0.000 0.012 0.988 0.000 0.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 2 0.5033 0.3345 0.004 0.596 0.004 0.372 0.024
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.0404 0.8372 0.000 0.012 0.988 0.000 0.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.0404 0.8372 0.000 0.012 0.988 0.000 0.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 5 0.4618 0.4212 0.344 0.004 0.016 0.000 0.636
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 4 0.4974 0.7699 0.180 0.040 0.000 0.736 0.044
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.1608 0.7846 0.928 0.000 0.000 0.000 0.072
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 2 0.5605 0.6181 0.004 0.712 0.040 0.144 0.100
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 5 0.5624 0.3813 0.388 0.008 0.036 0.012 0.556
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.2439 0.7597 0.876 0.000 0.000 0.004 0.120
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 5 0.6237 0.1428 0.036 0.156 0.008 0.144 0.656
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.3597 0.6323 0.000 0.832 0.116 0.044 0.008
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 4 0.3609 0.7236 0.112 0.036 0.000 0.836 0.016
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.0404 0.8372 0.000 0.012 0.988 0.000 0.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.4491 0.6263 0.772 0.008 0.004 0.152 0.064
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 2 0.6912 0.3728 0.000 0.428 0.348 0.012 0.212
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 2 0.5935 0.4235 0.000 0.580 0.020 0.324 0.076
#> 208165C0-229B-49E2-A22A-575CA3157C9E 2 0.7404 0.5172 0.000 0.492 0.136 0.088 0.284
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 4 0.7326 0.5222 0.344 0.048 0.012 0.472 0.124
#> 01397021-8495-4D89-885A-166B4DBA0122 3 0.0404 0.8372 0.000 0.012 0.988 0.000 0.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 3 0.0404 0.8372 0.000 0.012 0.988 0.000 0.000
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.1952 0.7836 0.912 0.000 0.000 0.004 0.084
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 2 0.4443 0.5207 0.004 0.704 0.008 0.272 0.012
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 2 0.4125 0.6308 0.000 0.772 0.172 0.000 0.056
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 2 0.5239 0.5105 0.000 0.652 0.284 0.052 0.012
#> AA569A06-0F37-4492-93F3-60A4539A3E82 2 0.7182 0.5265 0.000 0.512 0.076 0.124 0.288
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#> 7480A3B3-3BF8-4123-8E2E-8C2B52688EC6 3 0.5626 -0.1129 0.000 0.420 0.504 0.000 0.076
#> AE3211D1-65C0-46B1-A67F-741C21A7D1C4 2 0.4519 0.6037 0.000 0.720 0.228 0.000 0.052
#> D7244456-CB99-4893-85FE-65082CC4F17C 2 0.3764 0.6285 0.000 0.808 0.148 0.040 0.004
#> C4E0F193-49DC-4A49-84BB-337AAF277145 1 0.4727 0.3126 0.576 0.008 0.000 0.008 0.408
#> E2DF7E97-6BE1-412C-B71D-151B87739653 5 0.7458 -0.2156 0.000 0.332 0.132 0.084 0.452
#> 022BCEE2-4794-4D5D-87E5-22CD25FDBA98 3 0.5166 0.0103 0.000 0.436 0.528 0.004 0.032
#> 2AF33CEA-C327-4A31-84D8-C4F26E8A3ECF 4 0.4879 0.7725 0.204 0.032 0.000 0.728 0.036
#> E877B9C0-11C5-4CC8-BAE1-AC210535F3DB 4 0.4974 0.7699 0.180 0.040 0.000 0.736 0.044
#> 0E737E9F-1045-4B86-A290-ED927D5DE7BF 2 0.6918 0.3845 0.000 0.432 0.340 0.012 0.216
#> D1B88E26-3B64-4E1A-8E50-22AD100BD9F9 2 0.5008 0.3465 0.004 0.604 0.004 0.364 0.024
#> 3AEB8943-FE34-4014-B851-BBF83857A794 2 0.7303 0.4903 0.000 0.500 0.092 0.116 0.292
#> BECD727E-E3C1-4C42-9047-D97B7444B20B 2 0.5920 0.4305 0.000 0.584 0.020 0.320 0.076
#> AF866E63-9EA1-4669-B9C4-FC7E877334AE 2 0.6391 0.5185 0.000 0.540 0.284 0.008 0.168
#> F9C8E54A-4CE4-4839-B0CA-58678461EEF1 3 0.4648 0.0516 0.000 0.464 0.524 0.012 0.000
#> AE818BC4-05BF-4E85-A4AD-F3E43DD7D37A 2 0.3875 0.5988 0.000 0.756 0.228 0.004 0.012
#> BA73A860-CADE-408D-8D27-14EADA2B53B0 4 0.4208 0.7747 0.204 0.016 0.000 0.760 0.020
#> 688858C8-48CA-43E9-AE2C-B9D4F80B5EE9 2 0.4629 0.5941 0.000 0.704 0.244 0.000 0.052
#> EB1D52B2-17B3-491E-B484-1235633D6925 5 0.7488 -0.2172 0.000 0.332 0.136 0.084 0.448
#> AE261B5D-3881-40B9-8EE7-26B950E0BE16 1 0.1205 0.7982 0.956 0.000 0.000 0.004 0.040
#> 8C9851D5-3091-4DE0-A59E-9122C0CA1CD2 2 0.3536 0.6146 0.000 0.812 0.156 0.032 0.000
#> C8180F95-4E9C-45DB-B959-B47F64167C2D 4 0.4603 0.5558 0.032 0.172 0.004 0.764 0.028
#> 552D3B42-8D22-4B64-B3A2-B3E5D51A8524 2 0.4377 0.5920 0.000 0.720 0.248 0.004 0.028
#> FED9F364-BC3F-4134-BF4B-4D24B0EB8315 5 0.4698 0.1224 0.468 0.008 0.000 0.004 0.520
#> 7B0D7792-C803-4DD0-B9BF-CB83DA2D199A 1 0.2230 0.7689 0.884 0.000 0.000 0.000 0.116
#> B4F82CBB-A47C-44C3-81AC-CF775FF06FCD 1 0.4806 0.4681 0.640 0.000 0.004 0.028 0.328
#> BFAB10CF-5B24-40F7-92E7-C2E60DD779EF 5 0.5174 0.4661 0.328 0.012 0.036 0.000 0.624
#> E4E259E1-48B2-4C76-B113-E46270742F53 2 0.6924 0.3740 0.000 0.428 0.344 0.012 0.216
#> 81FCBC31-367A-4B1C-A832-B133E4A43738 2 0.8391 0.2760 0.028 0.380 0.108 0.140 0.344
#> 8690FA0F-9C1C-4D97-813A-3FB56827FBFC 2 0.5359 0.6469 0.000 0.736 0.112 0.076 0.076
#> 9810CF0C-99D1-445B-B1F9-C956D2438495 3 0.2280 0.7541 0.000 0.120 0.880 0.000 0.000
#> 2F5073E1-9EDD-46B5-95E3-8314E2A5B620 5 0.5943 0.3062 0.396 0.012 0.004 0.064 0.524
#> B454F9FB-439A-43B5-877D-752D0F138AB5 2 0.5719 0.3239 0.000 0.508 0.416 0.004 0.072
#> 287F2B71-92F8-4D14-8249-C1BFBB254BE7 1 0.4491 0.6263 0.772 0.008 0.004 0.152 0.064
#> 52DC920F-0AD5-47CE-BD81-31843876B71E 1 0.2338 0.7708 0.884 0.000 0.000 0.004 0.112
#> 6BAC4B1B-C3FC-4A09-9821-232E510E6A47 5 0.6484 0.2099 0.420 0.012 0.004 0.112 0.452
#> A2B87EED-0D8E-4B20-85D3-FD9CC5E2E806 1 0.1300 0.7913 0.956 0.000 0.000 0.028 0.016
#> 43E6DB93-2DA6-4F0F-BF81-0C3869134D2B 1 0.0162 0.7997 0.996 0.000 0.000 0.000 0.004
#> 09A2ED74-A7C7-4DBB-8EDD-C80D0F0AEFDF 1 0.4047 0.5215 0.676 0.000 0.000 0.004 0.320
#> 35EDCB52-D4B5-4305-8A74-95EFE6F2BFB1 5 0.5822 0.3151 0.432 0.012 0.044 0.008 0.504
#> D5D18AF8-9CC2-496C-A83A-31BBA0195CFD 5 0.5901 0.1540 0.076 0.068 0.008 0.148 0.700
#> 03767EDF-2F8A-41DE-8D80-F4BE861225A3 5 0.4125 0.3587 0.072 0.052 0.024 0.020 0.832
#> 586BC656-AD9C-44EF-9ED4-87DEEB5C8AA6 1 0.1331 0.7979 0.952 0.000 0.000 0.008 0.040
#> 23CA1146-CB1B-4054-A4FF-200B87444BF9 1 0.0000 0.7991 1.000 0.000 0.000 0.000 0.000
#> 910E9B6D-E7D5-4C83-A19C-1EEA6E135639 4 0.6120 0.6624 0.316 0.040 0.012 0.592 0.040
#> F36353A3-6CE6-4347-A78B-0AAD8FAB14AD 1 0.0162 0.7980 0.996 0.000 0.000 0.004 0.000
#> 2045736E-7D0F-4B17-B74B-3B12AEE3E68C 1 0.0162 0.7980 0.996 0.000 0.000 0.004 0.000
#> 5EFA2C2D-30B3-4D66-9601-354711F9FC56 3 0.0404 0.8372 0.000 0.012 0.988 0.000 0.000
#> 3FBD381D-84C8-4680-980B-CC4B7924BE06 2 0.4301 0.6017 0.000 0.740 0.228 0.016 0.016
#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 5 0.7773 0.0186 0.076 0.232 0.012 0.188 0.492
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 1 0.4009 0.5621 0.684 0.000 0.000 0.004 0.312
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 2 0.3964 0.6291 0.000 0.796 0.160 0.032 0.012
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 2 0.6098 0.6000 0.000 0.640 0.228 0.068 0.064
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 1 0.4807 0.0997 0.520 0.008 0.000 0.008 0.464
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 2 0.6946 0.3652 0.000 0.420 0.348 0.012 0.220
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 2 0.5008 0.3465 0.004 0.604 0.004 0.364 0.024
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 5 0.6353 0.3433 0.372 0.012 0.004 0.104 0.508
#> A3343F40-F977-4F9B-856A-28781F10F4CD 2 0.5932 0.6306 0.004 0.700 0.084 0.116 0.096
#> DA144299-5541-47D7-A59E-C92896DF08FC 1 0.4607 0.5367 0.664 0.012 0.000 0.012 0.312
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 2 0.4526 0.5475 0.000 0.672 0.300 0.000 0.028
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.0162 0.7980 0.996 0.000 0.000 0.004 0.000
#> 617447CF-9327-4062-B22C-71A8944C948F 2 0.5689 0.6343 0.000 0.712 0.084 0.104 0.100
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0162 0.8000 0.996 0.000 0.000 0.000 0.004
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 2 0.3924 0.6281 0.000 0.808 0.120 0.068 0.004
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.1357 0.7967 0.948 0.000 0.000 0.004 0.048
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.3999 0.5841 0.000 0.740 0.240 0.020 0.000
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.0566 0.8013 0.984 0.000 0.000 0.004 0.012
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 3 0.0404 0.8372 0.000 0.012 0.988 0.000 0.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 2 0.5288 0.4949 0.004 0.656 0.040 0.284 0.016
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 3 0.2230 0.7582 0.000 0.116 0.884 0.000 0.000
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.4900 0.5020 0.656 0.004 0.000 0.040 0.300
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 5 0.5267 0.4927 0.280 0.016 0.040 0.004 0.660
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.4003 0.5849 0.000 0.740 0.244 0.008 0.008
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 5 0.4791 0.4234 0.360 0.008 0.016 0.000 0.616
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.0609 0.8000 0.980 0.000 0.000 0.000 0.020
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 3 0.4225 0.3378 0.000 0.364 0.632 0.004 0.000
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 2 0.4542 0.2386 0.000 0.536 0.456 0.008 0.000
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 1 0.4118 0.5173 0.660 0.000 0.000 0.004 0.336
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 5 0.5852 0.4734 0.168 0.064 0.072 0.004 0.692
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.1814 0.7842 0.940 0.004 0.004 0.024 0.028
#> DA1301D3-1F84-46C5-AB44-079493A81A51 5 0.4619 0.3132 0.396 0.004 0.004 0.004 0.592
#> A12B1681-B598-40C3-80FE-1801F3F1189D 5 0.6367 0.3313 0.380 0.012 0.004 0.104 0.500
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 2 0.7316 0.2983 0.000 0.400 0.056 0.148 0.396
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 4 0.4565 0.5615 0.032 0.168 0.004 0.768 0.028
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.5719 0.3239 0.000 0.508 0.416 0.004 0.072
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.5115 0.6424 0.000 0.756 0.076 0.088 0.080
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 5 0.4510 0.2642 0.432 0.000 0.008 0.000 0.560
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.5239 0.5105 0.000 0.652 0.284 0.052 0.012
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 3 0.4238 0.3288 0.000 0.368 0.628 0.004 0.000
#> 1D0379B1-0E99-4E6D-B890-907C92860654 2 0.7207 0.3465 0.004 0.444 0.036 0.156 0.360
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 5 0.7117 -0.2429 0.000 0.284 0.104 0.088 0.524
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 2 0.6252 0.3826 0.004 0.548 0.012 0.332 0.104
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 2 0.5008 0.3465 0.004 0.604 0.004 0.364 0.024
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0451 0.7992 0.988 0.000 0.000 0.008 0.004
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.3985 0.6144 0.000 0.772 0.196 0.028 0.004
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.4047 0.5491 0.676 0.000 0.000 0.004 0.320
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.5239 0.5105 0.000 0.652 0.284 0.052 0.012
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.2179 0.7723 0.888 0.000 0.000 0.000 0.112
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.3975 0.5870 0.000 0.744 0.240 0.008 0.008
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 5 0.5213 0.4868 0.288 0.012 0.040 0.004 0.656
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.4393 0.6017 0.000 0.736 0.228 0.016 0.020
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.3885 0.6177 0.724 0.000 0.000 0.008 0.268
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.5447 0.6432 0.000 0.716 0.160 0.068 0.056
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0451 0.7994 0.988 0.000 0.000 0.008 0.004
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0566 0.8005 0.984 0.000 0.000 0.004 0.012
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.3810 0.6125 0.000 0.792 0.168 0.040 0.000
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.4576 0.3773 0.608 0.000 0.000 0.016 0.376
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.4263 0.6190 0.000 0.760 0.200 0.016 0.024
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0404 0.8372 0.000 0.012 0.988 0.000 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 3 0.4286 0.4037 0.000 0.340 0.652 0.004 0.004
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.1478 0.8022 0.000 0.064 0.936 0.000 0.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 4 0.4208 0.7747 0.204 0.016 0.000 0.760 0.020
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 3 0.6685 -0.1218 0.000 0.340 0.476 0.012 0.172
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.5586 0.4994 0.004 0.640 0.060 0.280 0.016
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.3883 0.6099 0.000 0.780 0.184 0.036 0.000
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.5612 0.5156 0.004 0.648 0.020 0.268 0.060
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0162 0.7980 0.996 0.000 0.000 0.004 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0162 0.7980 0.996 0.000 0.000 0.004 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.4661 0.5268 0.656 0.000 0.000 0.032 0.312
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.2068 0.7734 0.904 0.004 0.000 0.000 0.092
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.6505 0.4932 0.000 0.516 0.300 0.008 0.176
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.5132 0.5878 0.000 0.672 0.252 0.004 0.072
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0671 0.8001 0.980 0.000 0.000 0.004 0.016
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.6149 0.5121 0.000 0.540 0.296 0.000 0.164
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.3055 0.7514 0.840 0.000 0.000 0.016 0.144
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.4059 0.5918 0.700 0.004 0.000 0.004 0.292
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0404 0.8372 0.000 0.012 0.988 0.000 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.4299 0.5561 0.672 0.000 0.004 0.008 0.316
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0260 0.8059 0.992 0.000 0.000 0.000 0.008 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0865 0.9073 0.000 0.036 0.964 0.000 0.000 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 5 0.4025 0.7154 0.248 0.000 0.008 0.004 0.720 0.020
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.5132 0.3840 0.628 0.000 0.004 0.012 0.280 0.076
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 5 0.4069 0.5290 0.376 0.000 0.004 0.000 0.612 0.008
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.4095 -0.1653 0.512 0.000 0.000 0.000 0.480 0.008
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 6 0.8309 0.2935 0.056 0.228 0.012 0.260 0.092 0.352
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 6 0.7325 0.4975 0.000 0.344 0.012 0.096 0.168 0.380
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 5 0.3830 0.5354 0.376 0.000 0.004 0.000 0.620 0.000
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 4 0.4876 0.7492 0.200 0.000 0.000 0.696 0.032 0.072
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 5 0.6880 0.0240 0.152 0.000 0.004 0.380 0.392 0.072
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 3 0.3667 0.6745 0.000 0.240 0.740 0.000 0.012 0.008
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0260 0.8063 0.992 0.000 0.000 0.000 0.008 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 2 0.5555 0.1907 0.000 0.472 0.436 0.000 0.060 0.032
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 6 0.8377 -0.1878 0.216 0.028 0.008 0.216 0.232 0.300
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.3117 0.5310 0.000 0.848 0.020 0.032 0.000 0.100
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0405 0.8060 0.988 0.000 0.000 0.000 0.008 0.004
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0260 0.8059 0.992 0.000 0.000 0.000 0.008 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 5 0.3713 0.6808 0.284 0.000 0.000 0.004 0.704 0.008
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 5 0.3390 0.6760 0.296 0.000 0.000 0.000 0.704 0.000
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 5 0.7114 -0.3108 0.024 0.076 0.008 0.092 0.428 0.372
#> 83453F80-8A68-4A3C-995D-85CFB1011249 3 0.3543 0.6302 0.000 0.272 0.720 0.000 0.004 0.004
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#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 5 0.3438 0.7367 0.220 0.000 0.008 0.000 0.764 0.008
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.4783 0.4978 0.000 0.752 0.108 0.032 0.020 0.088
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 3 0.4083 0.1202 0.000 0.460 0.532 0.000 0.000 0.008
#> 1D0379B1-0E99-4E6D-B890-907C92860654 6 0.7434 0.5195 0.000 0.320 0.020 0.092 0.172 0.396
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 6 0.7846 0.4212 0.000 0.280 0.044 0.096 0.196 0.384
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 2 0.6839 -0.0193 0.000 0.424 0.004 0.216 0.048 0.308
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 2 0.6280 0.1163 0.000 0.428 0.016 0.212 0.000 0.344
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0508 0.8065 0.984 0.000 0.000 0.004 0.012 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.2614 0.5585 0.000 0.884 0.060 0.012 0.000 0.044
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.4097 -0.1892 0.500 0.000 0.000 0.000 0.492 0.008
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.4783 0.4978 0.000 0.752 0.108 0.032 0.020 0.088
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.2988 0.7004 0.824 0.000 0.000 0.000 0.152 0.024
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.2467 0.5594 0.000 0.884 0.088 0.000 0.012 0.016
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 5 0.2935 0.6718 0.072 0.008 0.028 0.000 0.872 0.020
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.2549 0.5597 0.000 0.884 0.072 0.000 0.008 0.036
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.4026 0.2721 0.612 0.000 0.000 0.012 0.376 0.000
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.4731 0.5280 0.000 0.768 0.052 0.044 0.040 0.096
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0291 0.8056 0.992 0.000 0.000 0.004 0.004 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0363 0.8063 0.988 0.000 0.000 0.000 0.012 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.2698 0.5467 0.000 0.880 0.040 0.016 0.000 0.064
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 5 0.4577 0.2641 0.472 0.000 0.000 0.012 0.500 0.016
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.2583 0.5567 0.000 0.888 0.052 0.000 0.016 0.044
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0865 0.9073 0.000 0.036 0.964 0.000 0.000 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 3 0.4274 0.2201 0.000 0.432 0.552 0.000 0.004 0.012
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.1863 0.8546 0.000 0.104 0.896 0.000 0.000 0.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 4 0.3361 0.7706 0.188 0.000 0.004 0.788 0.000 0.020
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.6890 0.1745 0.000 0.400 0.364 0.000 0.140 0.096
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.6210 0.2823 0.000 0.540 0.040 0.180 0.000 0.240
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.3382 0.5434 0.000 0.836 0.080 0.020 0.000 0.064
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.6559 0.1728 0.000 0.504 0.024 0.144 0.028 0.300
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.8045 1.000 0.000 0.000 0.000 0.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.8045 1.000 0.000 0.000 0.000 0.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 5 0.5043 0.2677 0.464 0.000 0.000 0.040 0.480 0.016
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.2841 0.7025 0.832 0.000 0.004 0.004 0.156 0.004
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.6252 0.3644 0.000 0.592 0.164 0.000 0.120 0.124
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.4040 0.5353 0.000 0.792 0.108 0.000 0.056 0.044
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0603 0.8062 0.980 0.000 0.000 0.000 0.016 0.004
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.6001 0.4007 0.000 0.620 0.160 0.000 0.112 0.108
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.3197 0.6879 0.804 0.000 0.000 0.012 0.176 0.008
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.4258 -0.1163 0.516 0.000 0.000 0.000 0.468 0.016
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0865 0.9073 0.000 0.036 0.964 0.000 0.000 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.4693 -0.1807 0.500 0.000 0.004 0.008 0.468 0.020
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["SD", "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 17654 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'SD' method.
#> Subgroups are detected by 'kmeans' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 3.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.967 0.987 0.5003 0.500 0.500
#> 3 3 0.985 0.948 0.964 0.1940 0.856 0.725
#> 4 4 0.749 0.760 0.825 0.1708 0.864 0.674
#> 5 5 0.886 0.863 0.914 0.1086 0.875 0.609
#> 6 6 0.813 0.803 0.859 0.0528 0.933 0.712
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
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.983 1.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 2 0.0000 0.989 0.000 1.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.0000 0.983 1.000 0.000
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.0000 0.983 1.000 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.0000 0.983 1.000 0.000
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.0000 0.983 1.000 0.000
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 1 0.9427 0.449 0.640 0.360
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 2 0.0000 0.989 0.000 1.000
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.0000 0.983 1.000 0.000
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 1 0.0000 0.983 1.000 0.000
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.0000 0.983 1.000 0.000
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 2 0.0000 0.989 0.000 1.000
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.983 1.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 2 0.0000 0.989 0.000 1.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 1 0.0000 0.983 1.000 0.000
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.0000 0.989 0.000 1.000
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0000 0.983 1.000 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.983 1.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 1 0.0000 0.983 1.000 0.000
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0000 0.983 1.000 0.000
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 1 0.0000 0.983 1.000 0.000
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.0000 0.989 0.000 1.000
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 2 0.9209 0.487 0.336 0.664
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0000 0.983 1.000 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 2 0.0000 0.989 0.000 1.000
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 1 0.0000 0.983 1.000 0.000
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.0000 0.989 0.000 1.000
#> 375FE390-434B-41D3-9029-84065B1D7B6F 2 0.0000 0.989 0.000 1.000
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 0.983 1.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.0000 0.989 0.000 1.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.0000 0.989 0.000 1.000
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.0000 0.989 0.000 1.000
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.0000 0.989 0.000 1.000
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.0000 0.983 1.000 0.000
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 2 0.0000 0.989 0.000 1.000
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 2 0.6712 0.782 0.176 0.824
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 1 0.0000 0.983 1.000 0.000
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 2 0.0000 0.989 0.000 1.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.0000 0.983 1.000 0.000
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 2 0.0000 0.989 0.000 1.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 2 0.0000 0.989 0.000 1.000
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 2 0.0000 0.989 0.000 1.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 2 0.0000 0.989 0.000 1.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 1 0.0000 0.983 1.000 0.000
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 1 0.0000 0.983 1.000 0.000
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.0000 0.983 1.000 0.000
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 2 0.0000 0.989 0.000 1.000
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 1 0.0000 0.983 1.000 0.000
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.0000 0.983 1.000 0.000
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 2 0.0000 0.989 0.000 1.000
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.0000 0.989 0.000 1.000
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 1 0.0000 0.983 1.000 0.000
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 2 0.0000 0.989 0.000 1.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.0000 0.983 1.000 0.000
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 2 0.0000 0.989 0.000 1.000
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 2 0.0000 0.989 0.000 1.000
#> 208165C0-229B-49E2-A22A-575CA3157C9E 2 0.0000 0.989 0.000 1.000
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 1 0.0000 0.983 1.000 0.000
#> 01397021-8495-4D89-885A-166B4DBA0122 2 0.0000 0.989 0.000 1.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 2 0.0000 0.989 0.000 1.000
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.0000 0.983 1.000 0.000
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 2 0.0000 0.989 0.000 1.000
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 2 0.0000 0.989 0.000 1.000
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 2 0.0000 0.989 0.000 1.000
#> AA569A06-0F37-4492-93F3-60A4539A3E82 2 0.0000 0.989 0.000 1.000
#> BC53FB75-94CA-48C3-875B-5987037D186F 2 0.0000 0.989 0.000 1.000
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 1 0.0000 0.983 1.000 0.000
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 2 0.0000 0.989 0.000 1.000
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 2 0.0000 0.989 0.000 1.000
#> DF67F589-A607-4B95-96B8-4BB344132312 2 0.0000 0.989 0.000 1.000
#> A65233E6-C146-4ACF-8DDE-5FB12D8D9637 2 0.0000 0.989 0.000 1.000
#> 7578C9A3-FFF8-45C4-AC28-1C6141A9A2AD 1 0.0000 0.983 1.000 0.000
#> 4DF775B9-E2FE-4F5E-8329-C37E21C5D10E 1 0.0000 0.983 1.000 0.000
#> 5E6B86C6-3D79-47BB-9FAF-CA22659CFEA7 1 0.0000 0.983 1.000 0.000
#> 53286128-668B-47EA-9A5F-D768FDCCBE88 1 0.0000 0.983 1.000 0.000
#> 01C9F351-97FE-4037-A879-9D96A3DD3FBB 2 0.0000 0.989 0.000 1.000
#> 5487DB21-6A58-46AC-A2A1-E343082D41D8 1 0.0000 0.983 1.000 0.000
#> 0FB3E997-4E31-4FA6-9654-11C3C0AF8D86 2 0.0000 0.989 0.000 1.000
#> A0706E80-FDF9-4721-BEB4-90527F6D38C4 2 0.0000 0.989 0.000 1.000
#> 5260226E-1826-4F54-8237-28993DD2EF04 2 0.0000 0.989 0.000 1.000
#> F53F71A7-A399-49AB-8657-019C5C56F48C 2 0.0000 0.989 0.000 1.000
#> 008159F2-5247-479A-8BFE-C394888D0B74 2 0.0000 0.989 0.000 1.000
#> 9E6BA6FB-35F2-4510-94AE-3E7CDFED3D47 2 0.0000 0.989 0.000 1.000
#> F12BE7AC-D2DD-4AD1-AB37-32DC85954F59 1 0.6247 0.811 0.844 0.156
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#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 1 0.0000 0.983 1.000 0.000
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.0000 0.989 0.000 1.000
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.0000 0.983 1.000 0.000
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.0000 0.989 0.000 1.000
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.983 1.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.983 1.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.0000 0.989 0.000 1.000
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.0000 0.983 1.000 0.000
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.0000 0.989 0.000 1.000
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 2 0.0000 0.989 0.000 1.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 2 0.0000 0.989 0.000 1.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 2 0.0000 0.989 0.000 1.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 1 0.0000 0.983 1.000 0.000
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.0000 0.989 0.000 1.000
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.0000 0.989 0.000 1.000
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.0000 0.989 0.000 1.000
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.0000 0.989 0.000 1.000
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.983 1.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.983 1.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.0000 0.983 1.000 0.000
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0000 0.983 1.000 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.0000 0.989 0.000 1.000
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.0000 0.989 0.000 1.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0000 0.983 1.000 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.0000 0.989 0.000 1.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.0000 0.983 1.000 0.000
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.0000 0.983 1.000 0.000
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 2 0.0000 0.989 0.000 1.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.0000 0.983 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.954 1.000 0.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.2165 0.984 0.000 0.064 0.936
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.2066 0.950 0.940 0.000 0.060
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.0000 0.954 1.000 0.000 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.2066 0.950 0.940 0.000 0.060
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.2066 0.950 0.940 0.000 0.060
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 2 0.1964 0.928 0.056 0.944 0.000
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 2 0.0892 0.966 0.000 0.980 0.020
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.2066 0.950 0.940 0.000 0.060
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 1 0.6254 0.733 0.756 0.188 0.056
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.2066 0.950 0.940 0.000 0.060
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 2 0.0237 0.978 0.000 0.996 0.004
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.954 1.000 0.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 3 0.2448 0.972 0.000 0.076 0.924
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 1 0.3752 0.801 0.856 0.144 0.000
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.0237 0.978 0.000 0.996 0.004
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#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 1 0.2066 0.950 0.940 0.000 0.060
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0237 0.954 0.996 0.000 0.004
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 2 0.3791 0.872 0.048 0.892 0.060
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.0237 0.978 0.000 0.996 0.004
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 2 0.1964 0.928 0.056 0.944 0.000
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#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 2 0.2066 0.928 0.000 0.940 0.060
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#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.0000 0.978 0.000 1.000 0.000
#> 375FE390-434B-41D3-9029-84065B1D7B6F 2 0.1289 0.955 0.000 0.968 0.032
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 0.954 1.000 0.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.0237 0.978 0.000 0.996 0.004
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.0000 0.978 0.000 1.000 0.000
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.0237 0.978 0.000 0.996 0.004
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.0000 0.978 0.000 1.000 0.000
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#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.0237 0.954 0.996 0.000 0.004
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.2165 0.984 0.000 0.064 0.936
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 2 0.0424 0.974 0.008 0.992 0.000
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#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.2165 0.984 0.000 0.064 0.936
#> 906CBD77-BD00-4199-B56C-E525C9509442 1 0.2066 0.950 0.940 0.000 0.060
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 1 0.4399 0.739 0.812 0.188 0.000
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.0000 0.954 1.000 0.000 0.000
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#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 2 0.0000 0.978 0.000 1.000 0.000
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 2 0.0000 0.978 0.000 1.000 0.000
#> 208165C0-229B-49E2-A22A-575CA3157C9E 2 0.1411 0.952 0.000 0.964 0.036
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#> 01397021-8495-4D89-885A-166B4DBA0122 3 0.2165 0.984 0.000 0.064 0.936
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 3 0.2165 0.984 0.000 0.064 0.936
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.0000 0.954 1.000 0.000 0.000
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 2 0.0000 0.978 0.000 1.000 0.000
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 2 0.0237 0.978 0.000 0.996 0.004
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 2 0.0424 0.977 0.000 0.992 0.008
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#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 2 0.0237 0.978 0.000 0.996 0.004
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#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.2066 0.950 0.940 0.000 0.060
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.4866 0.81847 0.596 0.000 0.000 0.404
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#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.4866 0.81847 0.596 0.000 0.000 0.404
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.0376 0.86617 0.004 0.992 0.004 0.000
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.0188 0.86714 0.004 0.996 0.000 0.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.4855 0.81780 0.600 0.000 0.000 0.400
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.0376 0.86617 0.004 0.992 0.004 0.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 4 0.4830 -0.31637 0.392 0.000 0.000 0.608
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 4 0.0336 0.81618 0.008 0.000 0.000 0.992
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.96856 0.000 0.000 1.000 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 4 0.0336 0.81618 0.008 0.000 0.000 0.992
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0162 0.9608 0.996 0.000 0.000 0.004 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.9918 0.000 0.000 1.000 0.000 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 5 0.2464 0.9539 0.096 0.000 0.000 0.016 0.888
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.5367 0.6178 0.668 0.000 0.000 0.184 0.148
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 5 0.2464 0.9539 0.096 0.000 0.000 0.016 0.888
#> 1B76089D-785F-4353-A898-4E632023D482 5 0.2519 0.9519 0.100 0.000 0.000 0.016 0.884
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 4 0.1893 0.8540 0.000 0.048 0.000 0.928 0.024
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 4 0.1579 0.8492 0.000 0.032 0.000 0.944 0.024
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 5 0.2561 0.9531 0.096 0.000 0.000 0.020 0.884
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 4 0.1965 0.8041 0.000 0.000 0.000 0.904 0.096
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 5 0.2359 0.8962 0.036 0.000 0.000 0.060 0.904
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 2 0.0566 0.9054 0.000 0.984 0.004 0.012 0.000
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0162 0.9608 0.996 0.000 0.000 0.004 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 2 0.1282 0.8813 0.000 0.952 0.044 0.004 0.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 4 0.1386 0.8365 0.032 0.000 0.000 0.952 0.016
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.1310 0.8918 0.000 0.956 0.000 0.024 0.020
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0162 0.9608 0.996 0.000 0.000 0.004 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0162 0.9608 0.996 0.000 0.000 0.004 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 5 0.2464 0.9539 0.096 0.000 0.000 0.016 0.888
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0290 0.9602 0.992 0.000 0.000 0.008 0.000
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 5 0.3684 0.5329 0.000 0.000 0.000 0.280 0.720
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.0000 0.9070 0.000 1.000 0.000 0.000 0.000
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 4 0.1981 0.8533 0.000 0.048 0.000 0.924 0.028
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0162 0.9608 0.996 0.000 0.000 0.004 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 5 0.4183 0.3958 0.000 0.008 0.000 0.324 0.668
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 5 0.1965 0.9538 0.096 0.000 0.000 0.000 0.904
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.0162 0.9071 0.000 0.996 0.000 0.000 0.004
#> 375FE390-434B-41D3-9029-84065B1D7B6F 4 0.4902 0.5658 0.000 0.304 0.000 0.648 0.048
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 0.9614 1.000 0.000 0.000 0.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.0000 0.9070 0.000 1.000 0.000 0.000 0.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.0566 0.9056 0.000 0.984 0.000 0.012 0.004
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.1626 0.8914 0.000 0.940 0.000 0.016 0.044
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.1626 0.8914 0.000 0.940 0.000 0.016 0.044
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 5 0.2124 0.9537 0.096 0.000 0.000 0.004 0.900
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 2 0.0000 0.9070 0.000 1.000 0.000 0.000 0.000
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 4 0.2228 0.8393 0.000 0.040 0.000 0.912 0.048
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 5 0.2561 0.9531 0.096 0.000 0.000 0.020 0.884
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0000 0.9918 0.000 0.000 1.000 0.000 0.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.2929 0.7866 0.840 0.000 0.000 0.008 0.152
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.0000 0.9918 0.000 0.000 1.000 0.000 0.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 4 0.1981 0.8533 0.000 0.048 0.000 0.924 0.028
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.0000 0.9918 0.000 0.000 1.000 0.000 0.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.0000 0.9918 0.000 0.000 1.000 0.000 0.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 5 0.2124 0.9537 0.096 0.000 0.000 0.004 0.900
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 4 0.1800 0.8297 0.048 0.000 0.000 0.932 0.020
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.0609 0.9511 0.980 0.000 0.000 0.020 0.000
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 4 0.4969 0.4717 0.000 0.376 0.000 0.588 0.036
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 5 0.1965 0.9538 0.096 0.000 0.000 0.000 0.904
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.2012 0.8923 0.920 0.000 0.000 0.020 0.060
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 4 0.4589 0.6504 0.000 0.248 0.000 0.704 0.048
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.2293 0.8514 0.000 0.900 0.000 0.084 0.016
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 4 0.2054 0.8278 0.052 0.000 0.000 0.920 0.028
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.0000 0.9918 0.000 0.000 1.000 0.000 0.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 5 0.4045 0.5727 0.356 0.000 0.000 0.000 0.644
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 2 0.1626 0.8914 0.000 0.940 0.000 0.016 0.044
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 4 0.1981 0.8533 0.000 0.048 0.000 0.924 0.028
#> 208165C0-229B-49E2-A22A-575CA3157C9E 4 0.4956 0.5352 0.000 0.316 0.000 0.636 0.048
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 5 0.6153 0.5279 0.232 0.000 0.000 0.208 0.560
#> 01397021-8495-4D89-885A-166B4DBA0122 3 0.0000 0.9918 0.000 0.000 1.000 0.000 0.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 3 0.0000 0.9918 0.000 0.000 1.000 0.000 0.000
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.0162 0.9610 0.996 0.000 0.000 0.004 0.000
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 4 0.1597 0.8552 0.000 0.048 0.000 0.940 0.012
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 2 0.0000 0.9070 0.000 1.000 0.000 0.000 0.000
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 2 0.1012 0.9003 0.000 0.968 0.000 0.020 0.012
#> AA569A06-0F37-4492-93F3-60A4539A3E82 2 0.5068 0.3547 0.000 0.592 0.000 0.364 0.044
#> BC53FB75-94CA-48C3-875B-5987037D186F 2 0.1300 0.8980 0.000 0.956 0.000 0.016 0.028
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 1 0.0162 0.9608 0.996 0.000 0.000 0.004 0.000
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 2 0.1469 0.8948 0.000 0.948 0.000 0.016 0.036
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 2 0.4817 0.5260 0.000 0.656 0.000 0.300 0.044
#> DF67F589-A607-4B95-96B8-4BB344132312 2 0.4909 0.2421 0.000 0.560 0.000 0.412 0.028
#> A65233E6-C146-4ACF-8DDE-5FB12D8D9637 3 0.0000 0.9918 0.000 0.000 1.000 0.000 0.000
#> 7578C9A3-FFF8-45C4-AC28-1C6141A9A2AD 1 0.0162 0.9608 0.996 0.000 0.000 0.004 0.000
#> 4DF775B9-E2FE-4F5E-8329-C37E21C5D10E 5 0.1768 0.9424 0.072 0.000 0.000 0.004 0.924
#> 5E6B86C6-3D79-47BB-9FAF-CA22659CFEA7 5 0.1732 0.9487 0.080 0.000 0.000 0.000 0.920
#> 53286128-668B-47EA-9A5F-D768FDCCBE88 1 0.0000 0.9614 1.000 0.000 0.000 0.000 0.000
#> 01C9F351-97FE-4037-A879-9D96A3DD3FBB 2 0.0000 0.9070 0.000 1.000 0.000 0.000 0.000
#> 5487DB21-6A58-46AC-A2A1-E343082D41D8 5 0.2361 0.9542 0.096 0.000 0.000 0.012 0.892
#> 0FB3E997-4E31-4FA6-9654-11C3C0AF8D86 2 0.0162 0.9071 0.000 0.996 0.000 0.000 0.004
#> A0706E80-FDF9-4721-BEB4-90527F6D38C4 2 0.0324 0.9059 0.000 0.992 0.000 0.004 0.004
#> 5260226E-1826-4F54-8237-28993DD2EF04 3 0.0000 0.9918 0.000 0.000 1.000 0.000 0.000
#> F53F71A7-A399-49AB-8657-019C5C56F48C 2 0.2446 0.8677 0.000 0.900 0.000 0.056 0.044
#> 008159F2-5247-479A-8BFE-C394888D0B74 4 0.1981 0.8533 0.000 0.048 0.000 0.924 0.028
#> 9E6BA6FB-35F2-4510-94AE-3E7CDFED3D47 3 0.0000 0.9918 0.000 0.000 1.000 0.000 0.000
#> F12BE7AC-D2DD-4AD1-AB37-32DC85954F59 4 0.1082 0.8519 0.000 0.028 0.000 0.964 0.008
#> 38A6BA1F-B444-4155-A168-EC2DF0EE0785 5 0.1851 0.9506 0.088 0.000 0.000 0.000 0.912
#> B107D1DE-EE52-4E89-B75A-91124BFF99AE 3 0.0000 0.9918 0.000 0.000 1.000 0.000 0.000
#> D4D16D09-8895-4BEA-ABF7-F11C5D5BDCAA 5 0.2561 0.9531 0.096 0.000 0.000 0.020 0.884
#> 9A53C473-1364-4BB6-AD36-EF53E0208450 1 0.1768 0.8917 0.924 0.000 0.000 0.004 0.072
#> F00C0ED6-C811-4F32-BDB4-4ACA7861DC7D 2 0.0324 0.9059 0.000 0.992 0.000 0.004 0.004
#> 72618985-CD49-4B6F-8CB0-5EE590FAD09A 2 0.5043 0.3757 0.000 0.600 0.000 0.356 0.044
#> 978A315F-CCE9-4D03-A680-C0AD60B10557 2 0.0451 0.9051 0.000 0.988 0.000 0.004 0.008
#> B6EACAED-3944-4510-B685-0BB8D1651D4F 5 0.2361 0.9543 0.096 0.000 0.000 0.012 0.892
#> EBCF16B4-A804-45EB-8253-0F28A2645729 5 0.2011 0.9523 0.088 0.000 0.000 0.004 0.908
#> 637DC441-4A75-4DA8-8F65-91FDB5F103C7 5 0.1894 0.9416 0.072 0.008 0.000 0.000 0.920
#> 89F67654-A246-4307-9B17-4A1C01DB1AED 2 0.1725 0.8788 0.000 0.936 0.000 0.044 0.020
#> 3A8EB57B-71ED-4169-A8EB-624C67CDBBE1 2 0.0000 0.9070 0.000 1.000 0.000 0.000 0.000
#> CC4DA9C6-CAB2-44FF-8219-D293ECD07DD4 5 0.2124 0.9543 0.096 0.000 0.000 0.004 0.900
#> AEC4FDAA-8F60-43CE-8EBB-5629FA662F16 2 0.0451 0.9067 0.000 0.988 0.000 0.004 0.008
#> BFC0D795-64F4-48B3-AD08-8C564E5E5367 1 0.0162 0.9610 0.996 0.000 0.000 0.004 0.000
#> 907BBBA4-4E7B-4808-892E-F80525C3CFA3 4 0.3913 0.5726 0.000 0.000 0.000 0.676 0.324
#> 7F21FA19-1468-4A65-A10A-A9727218A5EF 1 0.0162 0.9610 0.996 0.000 0.000 0.004 0.000
#> 905A026A-0B13-4AD3-B2BB-9A5AE76920AF 4 0.1725 0.8551 0.000 0.044 0.000 0.936 0.020
#> 6DDFC760-7BED-4A68-8DDA-9453D0FC9C1D 1 0.0290 0.9602 0.992 0.000 0.000 0.008 0.000
#> B3AFF323-BAAD-4512-A837-20C430EA39D1 5 0.2464 0.9539 0.096 0.000 0.000 0.016 0.888
#> 193E9034-42A2-4701-AA3E-2E852CA5C043 1 0.0000 0.9614 1.000 0.000 0.000 0.000 0.000
#> 8B6127D5-D3BB-4E17-914C-3ED1E2A52078 2 0.2450 0.8494 0.000 0.896 0.000 0.076 0.028
#> BD6E5E3C-DC43-4A85-84DF-84C68ABB851A 4 0.1981 0.8533 0.000 0.048 0.000 0.924 0.028
#> 881EACBD-B314-4A9E-A6DE-58DF9466AFB3 4 0.1579 0.8530 0.000 0.032 0.000 0.944 0.024
#> 195A6DF6-437D-4964-8872-C44F13E2CA4C 2 0.1725 0.8897 0.000 0.936 0.000 0.020 0.044
#> C40FD0B3-4773-490D-A342-B1CE8CC0A5BD 1 0.0290 0.9550 0.992 0.000 0.000 0.000 0.008
#> 613454BF-1A66-4DBB-90D0-246FC212DA4A 5 0.1892 0.9477 0.080 0.000 0.000 0.004 0.916
#> 5F121320-0F61-4BC0-BB69-F5C9A93BC118 1 0.0162 0.9610 0.996 0.000 0.000 0.004 0.000
#> E5637874-962B-4C43-8339-A6625D754DA8 4 0.1549 0.8554 0.000 0.040 0.000 0.944 0.016
#> 7614BF19-E3A2-492A-ABC0-557B274CA326 1 0.0162 0.9610 0.996 0.000 0.000 0.004 0.000
#> 6EB070B1-45C3-46DB-BFF9-6D9A137EC3A8 4 0.1582 0.8480 0.000 0.028 0.000 0.944 0.028
#> 873EEA1A-8AA1-4C83-B001-7BD64343ADE1 1 0.0609 0.9511 0.980 0.000 0.000 0.020 0.000
#> 2DCF0812-AC29-4BC2-8929-4D3D7B0F6335 2 0.0451 0.9067 0.000 0.988 0.000 0.004 0.008
#> 9391B623-4EC1-43A2-85EC-7B80BE87827D 5 0.2124 0.9537 0.096 0.000 0.000 0.004 0.900
#> 32A000F1-BAEA-41D2-AC75-02255A5BF2F2 4 0.1981 0.8533 0.000 0.048 0.000 0.924 0.028
#> 9C1016CE-3EAB-4FA7-806B-C8F6B08B4EA1 4 0.1774 0.8286 0.052 0.000 0.000 0.932 0.016
#> C7C4E75E-887F-4D11-9FDC-32292895A6B3 2 0.5229 0.2201 0.000 0.548 0.000 0.404 0.048
#> 54739A62-512F-499F-AFE1-B7C631B35272 1 0.0162 0.9608 0.996 0.000 0.000 0.004 0.000
#> 4476DF0E-6BB4-4682-BF59-E61071D4184E 5 0.1965 0.9538 0.096 0.000 0.000 0.000 0.904
#> DCCC6566-8A72-411D-B8F0-CC92B6D973AF 2 0.1493 0.8882 0.000 0.948 0.000 0.024 0.028
#> 781AEC2C-2604-4DAA-A55C-D07A305AF32E 5 0.1484 0.8611 0.000 0.048 0.000 0.008 0.944
#> CB6BBA89-F467-4E0E-9DD1-04631E23D18C 5 0.1877 0.9357 0.064 0.000 0.000 0.012 0.924
#> 42E0E49F-0F6A-4787-87E8-E5CEA94822F9 2 0.1626 0.8914 0.000 0.940 0.000 0.016 0.044
#> B6466D8A-6CD3-4C90-B1FC-72EBDD93AE47 4 0.1626 0.8319 0.044 0.000 0.000 0.940 0.016
#> EEBC342F-80C7-428B-A69C-35962A8A0251 2 0.1300 0.8980 0.000 0.956 0.000 0.016 0.028
#> 38CB2DA4-D03B-4AAD-820E-B3475C52A945 4 0.4735 0.5963 0.000 0.284 0.000 0.672 0.044
#> E924E4B6-F88B-4F6B-B381-24D125C05D4F 3 0.0000 0.9918 0.000 0.000 1.000 0.000 0.000
#> C207F0D6-55B8-4353-8A7D-F1BA623BED96 5 0.1965 0.9538 0.096 0.000 0.000 0.000 0.904
#> 980CBBAE-2C02-4150-8BDB-B67713B6425C 3 0.0000 0.9918 0.000 0.000 1.000 0.000 0.000
#> 2E2A42A8-50A7-4409-8504-949A2B8A46A6 5 0.2707 0.9501 0.100 0.000 0.000 0.024 0.876
#> 65B6391B-3178-4AB3-9AA8-2FFAC5491988 2 0.2124 0.8643 0.000 0.916 0.000 0.056 0.028
#> 78EEB2C7-4B64-4CB0-9C94-E2AC46A75237 4 0.1800 0.8297 0.048 0.000 0.000 0.932 0.020
#> 4F05A349-3B06-425C-A8CC-63C1B23A3D65 1 0.0162 0.9608 0.996 0.000 0.000 0.004 0.000
#> 1CE1B4DB-1F7B-4F30-BAA1-E0252199F05B 2 0.0000 0.9070 0.000 1.000 0.000 0.000 0.000
#> 05FAAE20-A94E-41FA-B6B6-7DDCFB4F9657 1 0.0000 0.9614 1.000 0.000 0.000 0.000 0.000
#> 8C635DC8-6BED-46F6-893F-2AFB6CB3481A 5 0.2561 0.9531 0.096 0.000 0.000 0.020 0.884
#> 48410523-5F22-4531-97FA-7C796AD58989 1 0.0000 0.9614 1.000 0.000 0.000 0.000 0.000
#> B68D29BD-EDC7-4375-99F7-C5DAF72F3BA6 1 0.0162 0.9608 0.996 0.000 0.000 0.004 0.000
#> 417DC694-EA89-4AE0-94AC-88CA7E4BAA0B 1 0.0162 0.9610 0.996 0.000 0.000 0.004 0.000
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#> DA1301D3-1F84-46C5-AB44-079493A81A51 5 0.1965 0.9538 0.096 0.000 0.000 0.000 0.904
#> A12B1681-B598-40C3-80FE-1801F3F1189D 5 0.1732 0.9487 0.080 0.000 0.000 0.000 0.920
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 4 0.4325 0.6923 0.000 0.220 0.000 0.736 0.044
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 4 0.1978 0.8336 0.044 0.004 0.000 0.928 0.024
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.0671 0.9046 0.000 0.980 0.000 0.016 0.004
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 4 0.4475 0.6436 0.000 0.276 0.000 0.692 0.032
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 5 0.2124 0.9540 0.096 0.000 0.000 0.004 0.900
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.4930 0.2071 0.000 0.548 0.000 0.424 0.028
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.0000 0.9070 0.000 1.000 0.000 0.000 0.000
#> 1D0379B1-0E99-4E6D-B890-907C92860654 4 0.3319 0.7727 0.000 0.160 0.000 0.820 0.020
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.0324 0.9069 0.000 0.992 0.000 0.004 0.004
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 4 0.1168 0.8520 0.000 0.032 0.000 0.960 0.008
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 4 0.1981 0.8533 0.000 0.048 0.000 0.924 0.028
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0000 0.9614 1.000 0.000 0.000 0.000 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.0324 0.9059 0.000 0.992 0.000 0.004 0.004
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 5 0.2561 0.9531 0.096 0.000 0.000 0.020 0.884
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.4937 0.1931 0.000 0.544 0.000 0.428 0.028
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0609 0.9511 0.980 0.000 0.000 0.020 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.0162 0.9071 0.000 0.996 0.000 0.000 0.004
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 5 0.1732 0.9476 0.080 0.000 0.000 0.000 0.920
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.0000 0.9070 0.000 1.000 0.000 0.000 0.000
#> AC376BBB-667B-4469-B567-9BE18DE0F811 5 0.2124 0.9537 0.096 0.000 0.000 0.004 0.900
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.0000 0.9070 0.000 1.000 0.000 0.000 0.000
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.9614 1.000 0.000 0.000 0.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0162 0.9608 0.996 0.000 0.000 0.004 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.1012 0.8974 0.000 0.968 0.000 0.020 0.012
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 5 0.2011 0.9525 0.088 0.000 0.000 0.004 0.908
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.0898 0.9006 0.000 0.972 0.000 0.020 0.008
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.9918 0.000 0.000 1.000 0.000 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 2 0.0000 0.9070 0.000 1.000 0.000 0.000 0.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.0000 0.9918 0.000 0.000 1.000 0.000 0.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 4 0.2046 0.8175 0.068 0.000 0.000 0.916 0.016
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.1626 0.8914 0.000 0.940 0.000 0.016 0.044
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 4 0.4812 0.4310 0.000 0.372 0.000 0.600 0.028
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.1310 0.8918 0.000 0.956 0.000 0.024 0.020
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 4 0.4420 0.6384 0.000 0.280 0.000 0.692 0.028
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.9614 1.000 0.000 0.000 0.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.9614 1.000 0.000 0.000 0.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 5 0.2561 0.9531 0.096 0.000 0.000 0.020 0.884
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0510 0.9525 0.984 0.000 0.000 0.016 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.1117 0.9006 0.000 0.964 0.000 0.016 0.020
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.0798 0.9041 0.000 0.976 0.000 0.016 0.008
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0162 0.9610 0.996 0.000 0.000 0.004 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.1211 0.8994 0.000 0.960 0.000 0.016 0.024
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.3461 0.6712 0.772 0.000 0.000 0.004 0.224
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 5 0.2464 0.9539 0.096 0.000 0.000 0.016 0.888
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.9918 0.000 0.000 1.000 0.000 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 5 0.1965 0.9538 0.096 0.000 0.000 0.000 0.904
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.1765 0.9037 0.904 0.000 0.000 0.000 0.000 0.096
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.9829 0.000 0.000 1.000 0.000 0.000 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 5 0.2164 0.9211 0.032 0.000 0.000 0.000 0.900 0.068
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.6827 0.4268 0.476 0.000 0.000 0.212 0.080 0.232
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 5 0.2586 0.9176 0.032 0.000 0.000 0.000 0.868 0.100
#> 1B76089D-785F-4353-A898-4E632023D482 5 0.3307 0.8808 0.044 0.000 0.000 0.000 0.808 0.148
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 4 0.2006 0.8652 0.000 0.000 0.000 0.892 0.004 0.104
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 6 0.4018 0.1078 0.000 0.000 0.000 0.412 0.008 0.580
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 5 0.2436 0.9172 0.032 0.000 0.000 0.000 0.880 0.088
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 4 0.3159 0.8057 0.000 0.000 0.000 0.832 0.100 0.068
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 5 0.3509 0.7802 0.000 0.000 0.000 0.112 0.804 0.084
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 2 0.1643 0.7997 0.000 0.924 0.000 0.000 0.008 0.068
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.9253 1.000 0.000 0.000 0.000 0.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 2 0.1471 0.8021 0.000 0.932 0.000 0.000 0.004 0.064
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 4 0.2980 0.8543 0.000 0.000 0.000 0.808 0.012 0.180
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.2134 0.8074 0.000 0.904 0.000 0.044 0.000 0.052
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.2346 0.8897 0.868 0.000 0.000 0.000 0.008 0.124
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.1663 0.9065 0.912 0.000 0.000 0.000 0.000 0.088
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 5 0.2277 0.9197 0.032 0.000 0.000 0.000 0.892 0.076
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0806 0.9228 0.972 0.000 0.000 0.000 0.008 0.020
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 5 0.3784 0.7341 0.000 0.000 0.000 0.080 0.776 0.144
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.0000 0.8454 0.000 1.000 0.000 0.000 0.000 0.000
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 4 0.1610 0.8659 0.000 0.000 0.000 0.916 0.000 0.084
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.1387 0.9134 0.932 0.000 0.000 0.000 0.000 0.068
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 6 0.4984 0.5597 0.000 0.032 0.000 0.088 0.188 0.692
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 5 0.1334 0.9227 0.032 0.000 0.000 0.000 0.948 0.020
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.0692 0.8402 0.000 0.976 0.000 0.000 0.004 0.020
#> 375FE390-434B-41D3-9029-84065B1D7B6F 6 0.5110 0.6807 0.000 0.116 0.000 0.184 0.024 0.676
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 0.9253 1.000 0.000 0.000 0.000 0.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.0260 0.8448 0.000 0.992 0.000 0.000 0.000 0.008
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.1531 0.8035 0.000 0.928 0.000 0.000 0.004 0.068
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 6 0.4051 0.5800 0.000 0.432 0.000 0.000 0.008 0.560
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 6 0.4018 0.6099 0.000 0.412 0.000 0.000 0.008 0.580
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 5 0.0935 0.9225 0.032 0.000 0.000 0.000 0.964 0.004
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 2 0.0363 0.8452 0.000 0.988 0.000 0.000 0.000 0.012
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 6 0.3867 0.4412 0.000 0.012 0.000 0.296 0.004 0.688
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 5 0.2331 0.9187 0.032 0.000 0.000 0.000 0.888 0.080
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0000 0.9829 0.000 0.000 1.000 0.000 0.000 0.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.4701 0.7040 0.684 0.000 0.000 0.000 0.168 0.148
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.0000 0.9829 0.000 0.000 1.000 0.000 0.000 0.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 4 0.2070 0.8590 0.000 0.008 0.000 0.892 0.000 0.100
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.0146 0.9826 0.000 0.000 0.996 0.000 0.004 0.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.0000 0.9829 0.000 0.000 1.000 0.000 0.000 0.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 5 0.1334 0.9211 0.032 0.000 0.000 0.000 0.948 0.020
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 4 0.1745 0.8682 0.000 0.000 0.000 0.924 0.020 0.056
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.2632 0.8659 0.832 0.000 0.000 0.000 0.004 0.164
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 2 0.5196 0.3966 0.000 0.604 0.000 0.252 0.000 0.144
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 5 0.0935 0.9215 0.032 0.000 0.000 0.000 0.964 0.004
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.3947 0.7433 0.764 0.000 0.000 0.000 0.136 0.100
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 6 0.4836 0.6182 0.000 0.068 0.000 0.192 0.036 0.704
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.2384 0.8014 0.000 0.888 0.000 0.048 0.000 0.064
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 4 0.1408 0.8706 0.000 0.000 0.000 0.944 0.020 0.036
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.0146 0.9826 0.000 0.000 0.996 0.000 0.004 0.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 5 0.4532 0.8005 0.108 0.000 0.000 0.008 0.720 0.164
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 6 0.4039 0.5930 0.000 0.424 0.000 0.000 0.008 0.568
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 4 0.2118 0.8592 0.000 0.008 0.000 0.888 0.000 0.104
#> 208165C0-229B-49E2-A22A-575CA3157C9E 6 0.4733 0.6873 0.000 0.112 0.000 0.172 0.012 0.704
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 5 0.5632 0.2550 0.024 0.000 0.000 0.384 0.508 0.084
#> 01397021-8495-4D89-885A-166B4DBA0122 3 0.0000 0.9829 0.000 0.000 1.000 0.000 0.000 0.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 3 0.0146 0.9826 0.000 0.000 0.996 0.000 0.004 0.000
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.0458 0.9240 0.984 0.000 0.000 0.000 0.000 0.016
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 4 0.2706 0.8613 0.000 0.024 0.000 0.852 0.000 0.124
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 2 0.0363 0.8452 0.000 0.988 0.000 0.000 0.000 0.012
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 2 0.2442 0.8020 0.000 0.884 0.000 0.048 0.000 0.068
#> AA569A06-0F37-4492-93F3-60A4539A3E82 6 0.4770 0.7526 0.000 0.224 0.000 0.100 0.004 0.672
#> BC53FB75-94CA-48C3-875B-5987037D186F 6 0.4086 0.5133 0.000 0.464 0.000 0.000 0.008 0.528
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 1 0.2300 0.8896 0.856 0.000 0.000 0.000 0.000 0.144
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 6 0.4067 0.5582 0.000 0.444 0.000 0.000 0.008 0.548
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 6 0.4330 0.7373 0.000 0.236 0.000 0.068 0.000 0.696
#> DF67F589-A607-4B95-96B8-4BB344132312 6 0.5754 0.5871 0.000 0.248 0.000 0.240 0.000 0.512
#> A65233E6-C146-4ACF-8DDE-5FB12D8D9637 3 0.0146 0.9826 0.000 0.000 0.996 0.000 0.004 0.000
#> 7578C9A3-FFF8-45C4-AC28-1C6141A9A2AD 1 0.1327 0.9146 0.936 0.000 0.000 0.000 0.000 0.064
#> 4DF775B9-E2FE-4F5E-8329-C37E21C5D10E 5 0.1088 0.9198 0.024 0.000 0.000 0.000 0.960 0.016
#> 5E6B86C6-3D79-47BB-9FAF-CA22659CFEA7 5 0.1750 0.9088 0.016 0.000 0.000 0.012 0.932 0.040
#> 53286128-668B-47EA-9A5F-D768FDCCBE88 1 0.0937 0.9238 0.960 0.000 0.000 0.000 0.000 0.040
#> 01C9F351-97FE-4037-A879-9D96A3DD3FBB 2 0.0405 0.8442 0.000 0.988 0.000 0.000 0.004 0.008
#> 5487DB21-6A58-46AC-A2A1-E343082D41D8 5 0.2046 0.9224 0.032 0.000 0.000 0.000 0.908 0.060
#> 0FB3E997-4E31-4FA6-9654-11C3C0AF8D86 2 0.0692 0.8402 0.000 0.976 0.000 0.000 0.004 0.020
#> A0706E80-FDF9-4721-BEB4-90527F6D38C4 2 0.1152 0.8338 0.000 0.952 0.000 0.004 0.000 0.044
#> 5260226E-1826-4F54-8237-28993DD2EF04 3 0.0000 0.9829 0.000 0.000 1.000 0.000 0.000 0.000
#> F53F71A7-A399-49AB-8657-019C5C56F48C 6 0.4540 0.6986 0.000 0.308 0.000 0.008 0.040 0.644
#> 008159F2-5247-479A-8BFE-C394888D0B74 4 0.2118 0.8592 0.000 0.008 0.000 0.888 0.000 0.104
#> 9E6BA6FB-35F2-4510-94AE-3E7CDFED3D47 3 0.0146 0.9826 0.000 0.000 0.996 0.000 0.004 0.000
#> F12BE7AC-D2DD-4AD1-AB37-32DC85954F59 4 0.2214 0.8701 0.000 0.000 0.000 0.888 0.016 0.096
#> 38A6BA1F-B444-4155-A168-EC2DF0EE0785 5 0.3566 0.8569 0.016 0.000 0.000 0.084 0.820 0.080
#> B107D1DE-EE52-4E89-B75A-91124BFF99AE 3 0.0000 0.9829 0.000 0.000 1.000 0.000 0.000 0.000
#> D4D16D09-8895-4BEA-ABF7-F11C5D5BDCAA 5 0.3023 0.8971 0.032 0.000 0.000 0.000 0.828 0.140
#> 9A53C473-1364-4BB6-AD36-EF53E0208450 1 0.3432 0.8454 0.800 0.000 0.000 0.000 0.052 0.148
#> F00C0ED6-C811-4F32-BDB4-4ACA7861DC7D 2 0.1075 0.8331 0.000 0.952 0.000 0.000 0.000 0.048
#> 72618985-CD49-4B6F-8CB0-5EE590FAD09A 6 0.4702 0.7536 0.000 0.220 0.000 0.096 0.004 0.680
#> 978A315F-CCE9-4D03-A680-C0AD60B10557 2 0.1219 0.8317 0.000 0.948 0.000 0.004 0.000 0.048
#> B6EACAED-3944-4510-B685-0BB8D1651D4F 5 0.1984 0.9232 0.032 0.000 0.000 0.000 0.912 0.056
#> EBCF16B4-A804-45EB-8253-0F28A2645729 5 0.0972 0.9212 0.028 0.000 0.000 0.000 0.964 0.008
#> 637DC441-4A75-4DA8-8F65-91FDB5F103C7 5 0.0891 0.9199 0.024 0.000 0.000 0.000 0.968 0.008
#> 89F67654-A246-4307-9B17-4A1C01DB1AED 2 0.2328 0.7975 0.000 0.892 0.000 0.052 0.000 0.056
#> 3A8EB57B-71ED-4169-A8EB-624C67CDBBE1 2 0.0405 0.8442 0.000 0.988 0.000 0.000 0.004 0.008
#> CC4DA9C6-CAB2-44FF-8219-D293ECD07DD4 5 0.1418 0.9233 0.032 0.000 0.000 0.000 0.944 0.024
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#> 688858C8-48CA-43E9-AE2C-B9D4F80B5EE9 2 0.1349 0.8163 0.000 0.940 0.000 0.000 0.004 0.056
#> EB1D52B2-17B3-491E-B484-1235633D6925 6 0.5144 0.7461 0.000 0.192 0.000 0.088 0.040 0.680
#> AE261B5D-3881-40B9-8EE7-26B950E0BE16 1 0.3283 0.8564 0.804 0.000 0.000 0.000 0.036 0.160
#> 8C9851D5-3091-4DE0-A59E-9122C0CA1CD2 2 0.2263 0.8010 0.000 0.896 0.000 0.048 0.000 0.056
#> C8180F95-4E9C-45DB-B959-B47F64167C2D 4 0.0260 0.8688 0.000 0.000 0.000 0.992 0.000 0.008
#> 552D3B42-8D22-4B64-B3A2-B3E5D51A8524 2 0.0508 0.8454 0.000 0.984 0.000 0.000 0.004 0.012
#> FED9F364-BC3F-4134-BF4B-4D24B0EB8315 5 0.2331 0.9198 0.032 0.000 0.000 0.000 0.888 0.080
#> 7B0D7792-C803-4DD0-B9BF-CB83DA2D199A 1 0.0363 0.9242 0.988 0.000 0.000 0.000 0.000 0.012
#> B4F82CBB-A47C-44C3-81AC-CF775FF06FCD 1 0.4091 0.6962 0.720 0.000 0.000 0.000 0.224 0.056
#> BFAB10CF-5B24-40F7-92E7-C2E60DD779EF 5 0.1334 0.9209 0.032 0.000 0.000 0.000 0.948 0.020
#> E4E259E1-48B2-4C76-B113-E46270742F53 6 0.4072 0.5500 0.000 0.448 0.000 0.000 0.008 0.544
#> 81FCBC31-367A-4B1C-A832-B133E4A43738 6 0.4843 0.4921 0.000 0.000 0.000 0.192 0.144 0.664
#> 8690FA0F-9C1C-4D97-813A-3FB56827FBFC 6 0.4349 0.6445 0.000 0.084 0.000 0.208 0.000 0.708
#> 9810CF0C-99D1-445B-B1F9-C956D2438495 3 0.0146 0.9826 0.000 0.000 0.996 0.000 0.004 0.000
#> 2F5073E1-9EDD-46B5-95E3-8314E2A5B620 5 0.1297 0.9120 0.012 0.000 0.000 0.000 0.948 0.040
#> B454F9FB-439A-43B5-877D-752D0F138AB5 2 0.1471 0.8021 0.000 0.932 0.000 0.000 0.004 0.064
#> 287F2B71-92F8-4D14-8249-C1BFBB254BE7 1 0.1814 0.9051 0.900 0.000 0.000 0.000 0.000 0.100
#> 52DC920F-0AD5-47CE-BD81-31843876B71E 1 0.1075 0.9206 0.952 0.000 0.000 0.000 0.000 0.048
#> 6BAC4B1B-C3FC-4A09-9821-232E510E6A47 5 0.2046 0.9241 0.032 0.000 0.000 0.000 0.908 0.060
#> A2B87EED-0D8E-4B20-85D3-FD9CC5E2E806 1 0.0632 0.9244 0.976 0.000 0.000 0.000 0.000 0.024
#> 43E6DB93-2DA6-4F0F-BF81-0C3869134D2B 1 0.0000 0.9253 1.000 0.000 0.000 0.000 0.000 0.000
#> 09A2ED74-A7C7-4DBB-8EDD-C80D0F0AEFDF 5 0.3134 0.8949 0.036 0.000 0.000 0.000 0.820 0.144
#> 35EDCB52-D4B5-4305-8A74-95EFE6F2BFB1 5 0.1575 0.9188 0.032 0.000 0.000 0.000 0.936 0.032
#> D5D18AF8-9CC2-496C-A83A-31BBA0195CFD 5 0.4772 0.6757 0.000 0.000 0.000 0.124 0.668 0.208
#> 03767EDF-2F8A-41DE-8D80-F4BE861225A3 5 0.1003 0.9187 0.020 0.000 0.000 0.000 0.964 0.016
#> 586BC656-AD9C-44EF-9ED4-87DEEB5C8AA6 1 0.0937 0.9209 0.960 0.000 0.000 0.000 0.000 0.040
#> 23CA1146-CB1B-4054-A4FF-200B87444BF9 1 0.0000 0.9253 1.000 0.000 0.000 0.000 0.000 0.000
#> 910E9B6D-E7D5-4C83-A19C-1EEA6E135639 4 0.1950 0.8657 0.000 0.000 0.000 0.912 0.024 0.064
#> F36353A3-6CE6-4347-A78B-0AAD8FAB14AD 1 0.0000 0.9253 1.000 0.000 0.000 0.000 0.000 0.000
#> 2045736E-7D0F-4B17-B74B-3B12AEE3E68C 1 0.1007 0.9204 0.956 0.000 0.000 0.000 0.000 0.044
#> 5EFA2C2D-30B3-4D66-9601-354711F9FC56 3 0.0000 0.9829 0.000 0.000 1.000 0.000 0.000 0.000
#> 3FBD381D-84C8-4680-980B-CC4B7924BE06 2 0.0405 0.8442 0.000 0.988 0.000 0.000 0.004 0.008
#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 4 0.4093 0.2962 0.000 0.000 0.000 0.516 0.008 0.476
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 5 0.2586 0.9176 0.032 0.000 0.000 0.000 0.868 0.100
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 2 0.1349 0.8385 0.000 0.940 0.000 0.000 0.004 0.056
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 2 0.1500 0.8271 0.000 0.936 0.000 0.012 0.000 0.052
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 5 0.2331 0.9199 0.032 0.000 0.000 0.000 0.888 0.080
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 6 0.4067 0.5582 0.000 0.444 0.000 0.000 0.008 0.548
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 4 0.2118 0.8592 0.000 0.008 0.000 0.888 0.000 0.104
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 5 0.2015 0.9020 0.012 0.000 0.000 0.016 0.916 0.056
#> A3343F40-F977-4F9B-856A-28781F10F4CD 2 0.2608 0.7853 0.000 0.872 0.000 0.048 0.000 0.080
#> DA144299-5541-47D7-A59E-C92896DF08FC 5 0.2633 0.9172 0.032 0.000 0.000 0.000 0.864 0.104
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 2 0.0405 0.8442 0.000 0.988 0.000 0.000 0.004 0.008
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.0000 0.9253 1.000 0.000 0.000 0.000 0.000 0.000
#> 617447CF-9327-4062-B22C-71A8944C948F 2 0.3321 0.7296 0.000 0.820 0.000 0.080 0.000 0.100
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0000 0.9253 1.000 0.000 0.000 0.000 0.000 0.000
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 2 0.3118 0.7477 0.000 0.836 0.000 0.092 0.000 0.072
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.2778 0.8697 0.824 0.000 0.000 0.000 0.008 0.168
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.0458 0.8441 0.000 0.984 0.000 0.000 0.000 0.016
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.2595 0.8738 0.836 0.000 0.000 0.000 0.004 0.160
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 3 0.0000 0.9829 0.000 0.000 1.000 0.000 0.000 0.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 2 0.3416 0.7081 0.000 0.804 0.000 0.140 0.000 0.056
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 2 0.3996 0.0315 0.000 0.512 0.484 0.000 0.004 0.000
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.4716 0.6926 0.680 0.000 0.000 0.000 0.184 0.136
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 5 0.0713 0.9220 0.028 0.000 0.000 0.000 0.972 0.000
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.0405 0.8442 0.000 0.988 0.000 0.000 0.004 0.008
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 5 0.1649 0.9210 0.032 0.000 0.000 0.000 0.932 0.036
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.0632 0.9232 0.976 0.000 0.000 0.000 0.000 0.024
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 2 0.2260 0.7305 0.000 0.860 0.140 0.000 0.000 0.000
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 2 0.0000 0.8454 0.000 1.000 0.000 0.000 0.000 0.000
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 5 0.3023 0.9050 0.032 0.000 0.000 0.000 0.828 0.140
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 5 0.0909 0.9183 0.020 0.000 0.000 0.000 0.968 0.012
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.1387 0.9209 0.932 0.000 0.000 0.000 0.000 0.068
#> DA1301D3-1F84-46C5-AB44-079493A81A51 5 0.1418 0.9220 0.032 0.000 0.000 0.000 0.944 0.024
#> A12B1681-B598-40C3-80FE-1801F3F1189D 5 0.1932 0.9051 0.016 0.000 0.000 0.020 0.924 0.040
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 6 0.4518 0.6029 0.000 0.072 0.000 0.236 0.004 0.688
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 4 0.1480 0.8709 0.000 0.000 0.000 0.940 0.020 0.040
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.1588 0.7974 0.000 0.924 0.000 0.000 0.004 0.072
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.6093 -0.1904 0.000 0.388 0.000 0.296 0.000 0.316
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 5 0.0935 0.9232 0.032 0.000 0.000 0.000 0.964 0.004
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 6 0.5378 0.6483 0.000 0.180 0.000 0.236 0.000 0.584
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.0260 0.8448 0.000 0.992 0.000 0.000 0.000 0.008
#> 1D0379B1-0E99-4E6D-B890-907C92860654 6 0.4583 0.3959 0.000 0.036 0.000 0.336 0.008 0.620
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.1285 0.8297 0.000 0.944 0.000 0.000 0.004 0.052
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 4 0.2664 0.8438 0.000 0.000 0.000 0.816 0.000 0.184
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 4 0.3518 0.7861 0.000 0.092 0.000 0.804 0.000 0.104
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0865 0.9216 0.964 0.000 0.000 0.000 0.000 0.036
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.1075 0.8331 0.000 0.952 0.000 0.000 0.000 0.048
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 5 0.3213 0.8950 0.032 0.000 0.000 0.000 0.808 0.160
#> ECC40A03-488E-4076-8A3A-234D968623AD 6 0.5371 0.6442 0.000 0.176 0.000 0.240 0.000 0.584
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.2838 0.8497 0.808 0.000 0.000 0.000 0.004 0.188
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.0935 0.8437 0.000 0.964 0.000 0.000 0.004 0.032
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 5 0.0891 0.9199 0.024 0.000 0.000 0.000 0.968 0.008
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.0405 0.8442 0.000 0.988 0.000 0.000 0.004 0.008
#> AC376BBB-667B-4469-B567-9BE18DE0F811 5 0.2070 0.9204 0.044 0.000 0.000 0.000 0.908 0.048
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.0146 0.8453 0.000 0.996 0.000 0.000 0.000 0.004
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.9253 1.000 0.000 0.000 0.000 0.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.1007 0.9199 0.956 0.000 0.000 0.000 0.000 0.044
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.1700 0.8223 0.000 0.928 0.000 0.024 0.000 0.048
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 5 0.2030 0.9186 0.028 0.000 0.000 0.000 0.908 0.064
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.1908 0.8225 0.000 0.900 0.000 0.000 0.004 0.096
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.9829 0.000 0.000 1.000 0.000 0.000 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 2 0.0260 0.8448 0.000 0.992 0.000 0.000 0.000 0.008
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.0146 0.9826 0.000 0.000 0.996 0.000 0.004 0.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 4 0.2182 0.8594 0.004 0.000 0.000 0.900 0.020 0.076
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 6 0.4045 0.5848 0.000 0.428 0.000 0.000 0.008 0.564
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.4382 0.5131 0.000 0.676 0.000 0.264 0.000 0.060
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.2066 0.8101 0.000 0.908 0.000 0.040 0.000 0.052
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 4 0.5503 -0.0254 0.000 0.128 0.000 0.456 0.000 0.416
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.9253 1.000 0.000 0.000 0.000 0.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.9253 1.000 0.000 0.000 0.000 0.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 5 0.3023 0.9050 0.032 0.000 0.000 0.000 0.828 0.140
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.1610 0.9000 0.916 0.000 0.000 0.000 0.000 0.084
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.4098 -0.4394 0.000 0.496 0.000 0.000 0.008 0.496
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.3405 0.4246 0.000 0.724 0.000 0.000 0.004 0.272
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0937 0.9209 0.960 0.000 0.000 0.000 0.000 0.040
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.4072 -0.2860 0.000 0.544 0.000 0.000 0.008 0.448
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.3821 0.6828 0.740 0.000 0.000 0.000 0.220 0.040
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 5 0.2726 0.9153 0.032 0.000 0.000 0.000 0.856 0.112
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.9829 0.000 0.000 1.000 0.000 0.000 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 5 0.1984 0.9251 0.032 0.000 0.000 0.000 0.912 0.056
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["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 17654 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'SD' method.
#> Subgroups are detected by 'skmeans' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 6.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.975 0.990 0.5007 0.500 0.500
#> 3 3 0.853 0.844 0.936 0.3022 0.797 0.613
#> 4 4 0.696 0.506 0.718 0.1187 0.877 0.677
#> 5 5 0.827 0.801 0.909 0.0901 0.847 0.526
#> 6 6 0.902 0.853 0.929 0.0358 0.909 0.612
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 6
#> attr(,"optional")
#> [1] 2
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
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.986 1.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 2 0.0000 0.993 0.000 1.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.0000 0.986 1.000 0.000
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.0000 0.986 1.000 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.0000 0.986 1.000 0.000
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.0000 0.986 1.000 0.000
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 1 0.8016 0.684 0.756 0.244
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 2 0.0000 0.993 0.000 1.000
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.0000 0.986 1.000 0.000
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 1 0.0000 0.986 1.000 0.000
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.0000 0.986 1.000 0.000
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 2 0.0000 0.993 0.000 1.000
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.986 1.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 2 0.0000 0.993 0.000 1.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 1 0.0000 0.986 1.000 0.000
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.0000 0.993 0.000 1.000
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0000 0.986 1.000 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.986 1.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 1 0.0000 0.986 1.000 0.000
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0000 0.986 1.000 0.000
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 1 0.0000 0.986 1.000 0.000
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.0000 0.993 0.000 1.000
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 2 0.7139 0.752 0.196 0.804
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0000 0.986 1.000 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 2 0.0000 0.993 0.000 1.000
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 1 0.0000 0.986 1.000 0.000
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.0000 0.993 0.000 1.000
#> 375FE390-434B-41D3-9029-84065B1D7B6F 2 0.0000 0.993 0.000 1.000
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 0.986 1.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.0000 0.993 0.000 1.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.0000 0.993 0.000 1.000
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.0000 0.993 0.000 1.000
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.0000 0.993 0.000 1.000
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.0000 0.986 1.000 0.000
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 2 0.0000 0.993 0.000 1.000
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 2 0.4939 0.874 0.108 0.892
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 1 0.0000 0.986 1.000 0.000
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 2 0.0000 0.993 0.000 1.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.0000 0.986 1.000 0.000
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 2 0.0000 0.993 0.000 1.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 2 0.0000 0.993 0.000 1.000
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 2 0.0000 0.993 0.000 1.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 2 0.0000 0.993 0.000 1.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 1 0.0000 0.986 1.000 0.000
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 1 0.0000 0.986 1.000 0.000
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.0000 0.986 1.000 0.000
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 2 0.0000 0.993 0.000 1.000
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 1 0.0000 0.986 1.000 0.000
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.0000 0.986 1.000 0.000
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 2 0.0000 0.993 0.000 1.000
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.0000 0.993 0.000 1.000
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 1 0.0000 0.986 1.000 0.000
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 2 0.0000 0.993 0.000 1.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.0000 0.986 1.000 0.000
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 2 0.0000 0.993 0.000 1.000
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 2 0.0000 0.993 0.000 1.000
#> 208165C0-229B-49E2-A22A-575CA3157C9E 2 0.0000 0.993 0.000 1.000
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 1 0.0000 0.986 1.000 0.000
#> 01397021-8495-4D89-885A-166B4DBA0122 2 0.0000 0.993 0.000 1.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 2 0.0000 0.993 0.000 1.000
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.0000 0.986 1.000 0.000
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 2 0.0000 0.993 0.000 1.000
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 2 0.0000 0.993 0.000 1.000
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 2 0.0000 0.993 0.000 1.000
#> AA569A06-0F37-4492-93F3-60A4539A3E82 2 0.0000 0.993 0.000 1.000
#> BC53FB75-94CA-48C3-875B-5987037D186F 2 0.0000 0.993 0.000 1.000
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 1 0.0000 0.986 1.000 0.000
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 2 0.0000 0.993 0.000 1.000
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 2 0.0000 0.993 0.000 1.000
#> DF67F589-A607-4B95-96B8-4BB344132312 2 0.0000 0.993 0.000 1.000
#> A65233E6-C146-4ACF-8DDE-5FB12D8D9637 2 0.0000 0.993 0.000 1.000
#> 7578C9A3-FFF8-45C4-AC28-1C6141A9A2AD 1 0.0000 0.986 1.000 0.000
#> 4DF775B9-E2FE-4F5E-8329-C37E21C5D10E 1 0.0000 0.986 1.000 0.000
#> 5E6B86C6-3D79-47BB-9FAF-CA22659CFEA7 1 0.0000 0.986 1.000 0.000
#> 53286128-668B-47EA-9A5F-D768FDCCBE88 1 0.0000 0.986 1.000 0.000
#> 01C9F351-97FE-4037-A879-9D96A3DD3FBB 2 0.0000 0.993 0.000 1.000
#> 5487DB21-6A58-46AC-A2A1-E343082D41D8 1 0.0000 0.986 1.000 0.000
#> 0FB3E997-4E31-4FA6-9654-11C3C0AF8D86 2 0.0000 0.993 0.000 1.000
#> A0706E80-FDF9-4721-BEB4-90527F6D38C4 2 0.0000 0.993 0.000 1.000
#> 5260226E-1826-4F54-8237-28993DD2EF04 2 0.0000 0.993 0.000 1.000
#> F53F71A7-A399-49AB-8657-019C5C56F48C 2 0.0000 0.993 0.000 1.000
#> 008159F2-5247-479A-8BFE-C394888D0B74 2 0.0000 0.993 0.000 1.000
#> 9E6BA6FB-35F2-4510-94AE-3E7CDFED3D47 2 0.0000 0.993 0.000 1.000
#> F12BE7AC-D2DD-4AD1-AB37-32DC85954F59 1 0.2603 0.944 0.956 0.044
#> 38A6BA1F-B444-4155-A168-EC2DF0EE0785 1 0.0000 0.986 1.000 0.000
#> B107D1DE-EE52-4E89-B75A-91124BFF99AE 2 0.0000 0.993 0.000 1.000
#> D4D16D09-8895-4BEA-ABF7-F11C5D5BDCAA 1 0.0000 0.986 1.000 0.000
#> 9A53C473-1364-4BB6-AD36-EF53E0208450 1 0.0000 0.986 1.000 0.000
#> F00C0ED6-C811-4F32-BDB4-4ACA7861DC7D 2 0.0000 0.993 0.000 1.000
#> 72618985-CD49-4B6F-8CB0-5EE590FAD09A 2 0.0000 0.993 0.000 1.000
#> 978A315F-CCE9-4D03-A680-C0AD60B10557 2 0.0000 0.993 0.000 1.000
#> B6EACAED-3944-4510-B685-0BB8D1651D4F 1 0.0000 0.986 1.000 0.000
#> EBCF16B4-A804-45EB-8253-0F28A2645729 1 0.0000 0.986 1.000 0.000
#> 637DC441-4A75-4DA8-8F65-91FDB5F103C7 1 0.6801 0.779 0.820 0.180
#> 89F67654-A246-4307-9B17-4A1C01DB1AED 2 0.0000 0.993 0.000 1.000
#> 3A8EB57B-71ED-4169-A8EB-624C67CDBBE1 2 0.0000 0.993 0.000 1.000
#> CC4DA9C6-CAB2-44FF-8219-D293ECD07DD4 1 0.0000 0.986 1.000 0.000
#> AEC4FDAA-8F60-43CE-8EBB-5629FA662F16 2 0.0000 0.993 0.000 1.000
#> BFC0D795-64F4-48B3-AD08-8C564E5E5367 1 0.0000 0.986 1.000 0.000
#> 907BBBA4-4E7B-4808-892E-F80525C3CFA3 1 0.0000 0.986 1.000 0.000
#> 7F21FA19-1468-4A65-A10A-A9727218A5EF 1 0.0000 0.986 1.000 0.000
#> 905A026A-0B13-4AD3-B2BB-9A5AE76920AF 2 0.7299 0.739 0.204 0.796
#> 6DDFC760-7BED-4A68-8DDA-9453D0FC9C1D 1 0.0000 0.986 1.000 0.000
#> B3AFF323-BAAD-4512-A837-20C430EA39D1 1 0.0000 0.986 1.000 0.000
#> 193E9034-42A2-4701-AA3E-2E852CA5C043 1 0.0000 0.986 1.000 0.000
#> 8B6127D5-D3BB-4E17-914C-3ED1E2A52078 2 0.0000 0.993 0.000 1.000
#> BD6E5E3C-DC43-4A85-84DF-84C68ABB851A 2 0.0000 0.993 0.000 1.000
#> 881EACBD-B314-4A9E-A6DE-58DF9466AFB3 1 0.9608 0.390 0.616 0.384
#> 195A6DF6-437D-4964-8872-C44F13E2CA4C 2 0.0000 0.993 0.000 1.000
#> C40FD0B3-4773-490D-A342-B1CE8CC0A5BD 1 0.0000 0.986 1.000 0.000
#> 613454BF-1A66-4DBB-90D0-246FC212DA4A 1 0.0000 0.986 1.000 0.000
#> 5F121320-0F61-4BC0-BB69-F5C9A93BC118 1 0.0000 0.986 1.000 0.000
#> E5637874-962B-4C43-8339-A6625D754DA8 1 0.9170 0.515 0.668 0.332
#> 7614BF19-E3A2-492A-ABC0-557B274CA326 1 0.0000 0.986 1.000 0.000
#> 6EB070B1-45C3-46DB-BFF9-6D9A137EC3A8 1 0.2778 0.940 0.952 0.048
#> 873EEA1A-8AA1-4C83-B001-7BD64343ADE1 1 0.0000 0.986 1.000 0.000
#> 2DCF0812-AC29-4BC2-8929-4D3D7B0F6335 2 0.0000 0.993 0.000 1.000
#> 9391B623-4EC1-43A2-85EC-7B80BE87827D 1 0.0000 0.986 1.000 0.000
#> 32A000F1-BAEA-41D2-AC75-02255A5BF2F2 2 0.0000 0.993 0.000 1.000
#> 9C1016CE-3EAB-4FA7-806B-C8F6B08B4EA1 1 0.0000 0.986 1.000 0.000
#> C7C4E75E-887F-4D11-9FDC-32292895A6B3 2 0.0000 0.993 0.000 1.000
#> 54739A62-512F-499F-AFE1-B7C631B35272 1 0.0000 0.986 1.000 0.000
#> 4476DF0E-6BB4-4682-BF59-E61071D4184E 1 0.0000 0.986 1.000 0.000
#> DCCC6566-8A72-411D-B8F0-CC92B6D973AF 2 0.0000 0.993 0.000 1.000
#> 781AEC2C-2604-4DAA-A55C-D07A305AF32E 2 0.2236 0.956 0.036 0.964
#> CB6BBA89-F467-4E0E-9DD1-04631E23D18C 1 0.0000 0.986 1.000 0.000
#> 42E0E49F-0F6A-4787-87E8-E5CEA94822F9 2 0.0000 0.993 0.000 1.000
#> B6466D8A-6CD3-4C90-B1FC-72EBDD93AE47 1 0.0000 0.986 1.000 0.000
#> EEBC342F-80C7-428B-A69C-35962A8A0251 2 0.0000 0.993 0.000 1.000
#> 38CB2DA4-D03B-4AAD-820E-B3475C52A945 2 0.0000 0.993 0.000 1.000
#> E924E4B6-F88B-4F6B-B381-24D125C05D4F 2 0.0000 0.993 0.000 1.000
#> C207F0D6-55B8-4353-8A7D-F1BA623BED96 1 0.0000 0.986 1.000 0.000
#> 980CBBAE-2C02-4150-8BDB-B67713B6425C 2 0.0000 0.993 0.000 1.000
#> 2E2A42A8-50A7-4409-8504-949A2B8A46A6 1 0.0000 0.986 1.000 0.000
#> 65B6391B-3178-4AB3-9AA8-2FFAC5491988 2 0.0000 0.993 0.000 1.000
#> 78EEB2C7-4B64-4CB0-9C94-E2AC46A75237 1 0.0000 0.986 1.000 0.000
#> 4F05A349-3B06-425C-A8CC-63C1B23A3D65 1 0.0000 0.986 1.000 0.000
#> 1CE1B4DB-1F7B-4F30-BAA1-E0252199F05B 2 0.0000 0.993 0.000 1.000
#> 05FAAE20-A94E-41FA-B6B6-7DDCFB4F9657 1 0.0000 0.986 1.000 0.000
#> 8C635DC8-6BED-46F6-893F-2AFB6CB3481A 1 0.0000 0.986 1.000 0.000
#> 48410523-5F22-4531-97FA-7C796AD58989 1 0.0000 0.986 1.000 0.000
#> B68D29BD-EDC7-4375-99F7-C5DAF72F3BA6 1 0.0000 0.986 1.000 0.000
#> 417DC694-EA89-4AE0-94AC-88CA7E4BAA0B 1 0.0000 0.986 1.000 0.000
#> 64CC8829-8B70-4B43-A364-4905139379E4 1 0.0000 0.986 1.000 0.000
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#> 91E396AE-9215-405D-95DA-4F20D02CEB92 2 0.6887 0.771 0.184 0.816
#> 94CD6202-9C20-48FF-952F-C085A9829FF1 1 0.0000 0.986 1.000 0.000
#> E13AD861-BBD9-4189-8BB6-4B798BDFAA64 1 0.0000 0.986 1.000 0.000
#> 6591AC48-9A57-4F9A-B25E-69E9257F4801 1 0.0000 0.986 1.000 0.000
#> 1F0575EF-CFFA-4282-A054-88FDABBEB0CE 2 0.0000 0.993 0.000 1.000
#> A2C99D8F-03AD-4E02-8FD2-50E8A8D64FA7 2 0.0000 0.993 0.000 1.000
#> DD2C6204-0402-42E6-9DCF-C596B254684D 2 0.0000 0.993 0.000 1.000
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#> 6E7F1C5E-83BE-4260-A4EB-2E8FB7B5AEDF 2 0.0000 0.993 0.000 1.000
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#> DBC70DA9-6D10-4AA4-9D6B-967A934C879F 2 0.0000 0.993 0.000 1.000
#> F50854E2-2F5D-4474-BB7D-842679B3DA09 1 0.0000 0.986 1.000 0.000
#> C8388730-6449-4283-8B7C-8FB64740C777 2 0.0000 0.993 0.000 1.000
#> 2DBBD500-CBB8-436D-9E7F-BC11EE25DED8 2 0.0000 0.993 0.000 1.000
#> A2C8570D-F289-4BFD-A517-80C0F641DEE4 2 0.0000 0.993 0.000 1.000
#> 8D0AC7F7-0B95-4375-97DB-EFB705B536D1 2 0.0000 0.993 0.000 1.000
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#> 84A2A8FD-5795-45CF-BC6A-B83B78151530 2 0.0000 0.993 0.000 1.000
#> AACF82C4-08D9-455A-80F6-7D179BFD6075 2 0.0000 0.993 0.000 1.000
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#> AE51F2BD-75E6-432E-9198-C33A68314A7B 2 0.0000 0.993 0.000 1.000
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#> 4FFE5729-3953-4859-B0BC-6EAAC38F7038 1 0.0000 0.986 1.000 0.000
#> 1D053A2E-313D-4E2F-89A3-877DC8A1E2EB 1 0.0000 0.986 1.000 0.000
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#> E877B9C0-11C5-4CC8-BAE1-AC210535F3DB 1 0.0000 0.986 1.000 0.000
#> 0E737E9F-1045-4B86-A290-ED927D5DE7BF 2 0.0000 0.993 0.000 1.000
#> D1B88E26-3B64-4E1A-8E50-22AD100BD9F9 2 0.0000 0.993 0.000 1.000
#> 3AEB8943-FE34-4014-B851-BBF83857A794 2 0.0000 0.993 0.000 1.000
#> BECD727E-E3C1-4C42-9047-D97B7444B20B 2 0.0000 0.993 0.000 1.000
#> AF866E63-9EA1-4669-B9C4-FC7E877334AE 2 0.0000 0.993 0.000 1.000
#> F9C8E54A-4CE4-4839-B0CA-58678461EEF1 2 0.0000 0.993 0.000 1.000
#> AE818BC4-05BF-4E85-A4AD-F3E43DD7D37A 2 0.0000 0.993 0.000 1.000
#> BA73A860-CADE-408D-8D27-14EADA2B53B0 1 0.0000 0.986 1.000 0.000
#> 688858C8-48CA-43E9-AE2C-B9D4F80B5EE9 2 0.0000 0.993 0.000 1.000
#> EB1D52B2-17B3-491E-B484-1235633D6925 2 0.0000 0.993 0.000 1.000
#> AE261B5D-3881-40B9-8EE7-26B950E0BE16 1 0.0000 0.986 1.000 0.000
#> 8C9851D5-3091-4DE0-A59E-9122C0CA1CD2 2 0.0000 0.993 0.000 1.000
#> C8180F95-4E9C-45DB-B959-B47F64167C2D 1 0.9661 0.371 0.608 0.392
#> 552D3B42-8D22-4B64-B3A2-B3E5D51A8524 2 0.0000 0.993 0.000 1.000
#> FED9F364-BC3F-4134-BF4B-4D24B0EB8315 1 0.0000 0.986 1.000 0.000
#> 7B0D7792-C803-4DD0-B9BF-CB83DA2D199A 1 0.0000 0.986 1.000 0.000
#> B4F82CBB-A47C-44C3-81AC-CF775FF06FCD 1 0.0000 0.986 1.000 0.000
#> BFAB10CF-5B24-40F7-92E7-C2E60DD779EF 1 0.0000 0.986 1.000 0.000
#> E4E259E1-48B2-4C76-B113-E46270742F53 2 0.0000 0.993 0.000 1.000
#> 81FCBC31-367A-4B1C-A832-B133E4A43738 1 0.8555 0.615 0.720 0.280
#> 8690FA0F-9C1C-4D97-813A-3FB56827FBFC 2 0.0000 0.993 0.000 1.000
#> 9810CF0C-99D1-445B-B1F9-C956D2438495 2 0.0000 0.993 0.000 1.000
#> 2F5073E1-9EDD-46B5-95E3-8314E2A5B620 1 0.0000 0.986 1.000 0.000
#> B454F9FB-439A-43B5-877D-752D0F138AB5 2 0.0000 0.993 0.000 1.000
#> 287F2B71-92F8-4D14-8249-C1BFBB254BE7 1 0.0000 0.986 1.000 0.000
#> 52DC920F-0AD5-47CE-BD81-31843876B71E 1 0.0000 0.986 1.000 0.000
#> 6BAC4B1B-C3FC-4A09-9821-232E510E6A47 1 0.0000 0.986 1.000 0.000
#> A2B87EED-0D8E-4B20-85D3-FD9CC5E2E806 1 0.0000 0.986 1.000 0.000
#> 43E6DB93-2DA6-4F0F-BF81-0C3869134D2B 1 0.0000 0.986 1.000 0.000
#> 09A2ED74-A7C7-4DBB-8EDD-C80D0F0AEFDF 1 0.0000 0.986 1.000 0.000
#> 35EDCB52-D4B5-4305-8A74-95EFE6F2BFB1 1 0.0000 0.986 1.000 0.000
#> D5D18AF8-9CC2-496C-A83A-31BBA0195CFD 1 0.0000 0.986 1.000 0.000
#> 03767EDF-2F8A-41DE-8D80-F4BE861225A3 2 0.8861 0.561 0.304 0.696
#> 586BC656-AD9C-44EF-9ED4-87DEEB5C8AA6 1 0.0000 0.986 1.000 0.000
#> 23CA1146-CB1B-4054-A4FF-200B87444BF9 1 0.0000 0.986 1.000 0.000
#> 910E9B6D-E7D5-4C83-A19C-1EEA6E135639 1 0.0000 0.986 1.000 0.000
#> F36353A3-6CE6-4347-A78B-0AAD8FAB14AD 1 0.0000 0.986 1.000 0.000
#> 2045736E-7D0F-4B17-B74B-3B12AEE3E68C 1 0.0000 0.986 1.000 0.000
#> 5EFA2C2D-30B3-4D66-9601-354711F9FC56 2 0.0000 0.993 0.000 1.000
#> 3FBD381D-84C8-4680-980B-CC4B7924BE06 2 0.0000 0.993 0.000 1.000
#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 1 0.7453 0.735 0.788 0.212
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 1 0.0000 0.986 1.000 0.000
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 2 0.0000 0.993 0.000 1.000
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 2 0.0000 0.993 0.000 1.000
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 1 0.0000 0.986 1.000 0.000
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 2 0.0000 0.993 0.000 1.000
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 2 0.0000 0.993 0.000 1.000
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 1 0.0000 0.986 1.000 0.000
#> A3343F40-F977-4F9B-856A-28781F10F4CD 2 0.0000 0.993 0.000 1.000
#> DA144299-5541-47D7-A59E-C92896DF08FC 1 0.0000 0.986 1.000 0.000
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 2 0.0000 0.993 0.000 1.000
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.0000 0.986 1.000 0.000
#> 617447CF-9327-4062-B22C-71A8944C948F 2 0.0000 0.993 0.000 1.000
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0000 0.986 1.000 0.000
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 2 0.0000 0.993 0.000 1.000
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.0000 0.986 1.000 0.000
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.0000 0.993 0.000 1.000
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.0000 0.986 1.000 0.000
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 2 0.0000 0.993 0.000 1.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 2 0.0000 0.993 0.000 1.000
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 2 0.0000 0.993 0.000 1.000
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.0000 0.986 1.000 0.000
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 1 0.0000 0.986 1.000 0.000
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.0000 0.993 0.000 1.000
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 1 0.0000 0.986 1.000 0.000
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.0000 0.986 1.000 0.000
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 2 0.0000 0.993 0.000 1.000
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 2 0.0000 0.993 0.000 1.000
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 1 0.0000 0.986 1.000 0.000
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 2 0.9710 0.330 0.400 0.600
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.0000 0.986 1.000 0.000
#> DA1301D3-1F84-46C5-AB44-079493A81A51 1 0.0000 0.986 1.000 0.000
#> A12B1681-B598-40C3-80FE-1801F3F1189D 1 0.0000 0.986 1.000 0.000
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 2 0.0000 0.993 0.000 1.000
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 1 0.0938 0.975 0.988 0.012
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.0000 0.993 0.000 1.000
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.0000 0.993 0.000 1.000
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 1 0.0000 0.986 1.000 0.000
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.0000 0.993 0.000 1.000
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.0000 0.993 0.000 1.000
#> 1D0379B1-0E99-4E6D-B890-907C92860654 2 0.0000 0.993 0.000 1.000
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.0000 0.993 0.000 1.000
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 2 0.0000 0.993 0.000 1.000
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 2 0.0000 0.993 0.000 1.000
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0000 0.986 1.000 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.0000 0.993 0.000 1.000
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.0000 0.986 1.000 0.000
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.0000 0.993 0.000 1.000
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0000 0.986 1.000 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.0000 0.993 0.000 1.000
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 1 0.0000 0.986 1.000 0.000
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.0000 0.993 0.000 1.000
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.0000 0.986 1.000 0.000
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.0000 0.993 0.000 1.000
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.986 1.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.986 1.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.0000 0.993 0.000 1.000
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.0000 0.986 1.000 0.000
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.0000 0.993 0.000 1.000
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 2 0.0000 0.993 0.000 1.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 2 0.0000 0.993 0.000 1.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 2 0.0000 0.993 0.000 1.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 1 0.0000 0.986 1.000 0.000
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.0000 0.993 0.000 1.000
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.0000 0.993 0.000 1.000
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.0000 0.993 0.000 1.000
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.0000 0.993 0.000 1.000
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.986 1.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.986 1.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.0000 0.986 1.000 0.000
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0000 0.986 1.000 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.0000 0.993 0.000 1.000
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.0000 0.993 0.000 1.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0000 0.986 1.000 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.0000 0.993 0.000 1.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.0000 0.986 1.000 0.000
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.0000 0.986 1.000 0.000
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 2 0.0000 0.993 0.000 1.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.0000 0.986 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.9924 1.000 0.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.8829 0.000 0.000 1.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.0000 0.9924 1.000 0.000 0.000
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.0000 0.9924 1.000 0.000 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.0000 0.9924 1.000 0.000 0.000
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.0000 0.9924 1.000 0.000 0.000
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 2 0.0000 0.8613 0.000 1.000 0.000
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 2 0.0000 0.8613 0.000 1.000 0.000
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.0000 0.9924 1.000 0.000 0.000
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 2 0.6309 0.0967 0.496 0.504 0.000
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.0000 0.9924 1.000 0.000 0.000
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 3 0.0000 0.8829 0.000 0.000 1.000
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.9924 1.000 0.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 3 0.0000 0.8829 0.000 0.000 1.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 2 0.0237 0.8587 0.004 0.996 0.000
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 3 0.6154 0.4417 0.000 0.408 0.592
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0000 0.9924 1.000 0.000 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.9924 1.000 0.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 1 0.0000 0.9924 1.000 0.000 0.000
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0000 0.9924 1.000 0.000 0.000
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 2 0.5363 0.6122 0.276 0.724 0.000
#> 83453F80-8A68-4A3C-995D-85CFB1011249 3 0.0000 0.8829 0.000 0.000 1.000
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 2 0.0000 0.8613 0.000 1.000 0.000
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0000 0.9924 1.000 0.000 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 2 0.6079 0.3283 0.000 0.612 0.388
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 1 0.0000 0.9924 1.000 0.000 0.000
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 3 0.6008 0.5072 0.000 0.372 0.628
#> 375FE390-434B-41D3-9029-84065B1D7B6F 2 0.0000 0.8613 0.000 1.000 0.000
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 0.9924 1.000 0.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 3 0.0000 0.8829 0.000 0.000 1.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 3 0.0000 0.8829 0.000 0.000 1.000
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 3 0.0000 0.8829 0.000 0.000 1.000
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 3 0.2066 0.8385 0.000 0.060 0.940
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.0000 0.9924 1.000 0.000 0.000
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 3 0.0000 0.8829 0.000 0.000 1.000
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 2 0.0000 0.8613 0.000 1.000 0.000
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 1 0.0000 0.9924 1.000 0.000 0.000
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0000 0.8829 0.000 0.000 1.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.0000 0.9924 1.000 0.000 0.000
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.0000 0.8829 0.000 0.000 1.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 2 0.0000 0.8613 0.000 1.000 0.000
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.0000 0.8829 0.000 0.000 1.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.0000 0.8829 0.000 0.000 1.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 1 0.0000 0.9924 1.000 0.000 0.000
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 2 0.6008 0.4324 0.372 0.628 0.000
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.0000 0.9924 1.000 0.000 0.000
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 2 0.0000 0.8613 0.000 1.000 0.000
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 1 0.0000 0.9924 1.000 0.000 0.000
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.0000 0.9924 1.000 0.000 0.000
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 2 0.0000 0.8613 0.000 1.000 0.000
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.3941 0.7044 0.000 0.844 0.156
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 2 0.4702 0.6839 0.212 0.788 0.000
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.0000 0.8829 0.000 0.000 1.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.0000 0.9924 1.000 0.000 0.000
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 3 0.0000 0.8829 0.000 0.000 1.000
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 2 0.0000 0.8613 0.000 1.000 0.000
#> 208165C0-229B-49E2-A22A-575CA3157C9E 2 0.0000 0.8613 0.000 1.000 0.000
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 1 0.0000 0.9924 1.000 0.000 0.000
#> 01397021-8495-4D89-885A-166B4DBA0122 3 0.0000 0.8829 0.000 0.000 1.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 3 0.0000 0.8829 0.000 0.000 1.000
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.0000 0.9924 1.000 0.000 0.000
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 2 0.0000 0.8613 0.000 1.000 0.000
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 3 0.0000 0.8829 0.000 0.000 1.000
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#> 2045736E-7D0F-4B17-B74B-3B12AEE3E68C 1 0.0000 0.9924 1.000 0.000 0.000
#> 5EFA2C2D-30B3-4D66-9601-354711F9FC56 3 0.0000 0.8829 0.000 0.000 1.000
#> 3FBD381D-84C8-4680-980B-CC4B7924BE06 3 0.6095 0.4725 0.000 0.392 0.608
#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 2 0.0000 0.8613 0.000 1.000 0.000
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 1 0.0000 0.9924 1.000 0.000 0.000
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 3 0.6309 0.2213 0.000 0.496 0.504
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 3 0.6111 0.4652 0.000 0.396 0.604
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 1 0.0000 0.9924 1.000 0.000 0.000
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 3 0.0000 0.8829 0.000 0.000 1.000
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 2 0.0000 0.8613 0.000 1.000 0.000
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 1 0.0000 0.9924 1.000 0.000 0.000
#> A3343F40-F977-4F9B-856A-28781F10F4CD 3 0.6267 0.3428 0.000 0.452 0.548
#> DA144299-5541-47D7-A59E-C92896DF08FC 1 0.0000 0.9924 1.000 0.000 0.000
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 3 0.0000 0.8829 0.000 0.000 1.000
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.0000 0.9924 1.000 0.000 0.000
#> 617447CF-9327-4062-B22C-71A8944C948F 2 0.0000 0.8613 0.000 1.000 0.000
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0000 0.9924 1.000 0.000 0.000
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 2 0.2959 0.7726 0.000 0.900 0.100
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.0000 0.9924 1.000 0.000 0.000
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 3 0.3551 0.7932 0.000 0.132 0.868
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.0000 0.9924 1.000 0.000 0.000
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 3 0.0000 0.8829 0.000 0.000 1.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 2 0.5706 0.3863 0.000 0.680 0.320
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 3 0.0000 0.8829 0.000 0.000 1.000
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.0000 0.9924 1.000 0.000 0.000
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 1 0.0000 0.9924 1.000 0.000 0.000
#> 69365512-8052-4BEA-B60D-9E065DD436BB 3 0.5016 0.6882 0.000 0.240 0.760
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 1 0.0000 0.9924 1.000 0.000 0.000
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.0000 0.9924 1.000 0.000 0.000
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 3 0.0000 0.8829 0.000 0.000 1.000
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 3 0.0000 0.8829 0.000 0.000 1.000
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 1 0.0000 0.9924 1.000 0.000 0.000
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 3 0.5058 0.5937 0.244 0.000 0.756
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.0000 0.9924 1.000 0.000 0.000
#> DA1301D3-1F84-46C5-AB44-079493A81A51 1 0.0000 0.9924 1.000 0.000 0.000
#> A12B1681-B598-40C3-80FE-1801F3F1189D 1 0.0000 0.9924 1.000 0.000 0.000
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 2 0.0000 0.8613 0.000 1.000 0.000
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 2 0.0000 0.8613 0.000 1.000 0.000
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 3 0.0000 0.8829 0.000 0.000 1.000
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.0000 0.8613 0.000 1.000 0.000
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 1 0.0000 0.9924 1.000 0.000 0.000
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 3 0.6252 0.1626 0.000 0.444 0.556
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 3 0.0000 0.8829 0.000 0.000 1.000
#> 1D0379B1-0E99-4E6D-B890-907C92860654 2 0.0000 0.8613 0.000 1.000 0.000
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 3 0.6305 0.2577 0.000 0.484 0.516
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 2 0.0000 0.8613 0.000 1.000 0.000
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 2 0.0000 0.8613 0.000 1.000 0.000
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0000 0.9924 1.000 0.000 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 3 0.6126 0.4576 0.000 0.400 0.600
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.0000 0.9924 1.000 0.000 0.000
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.6305 0.0662 0.000 0.516 0.484
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0000 0.9924 1.000 0.000 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 3 0.6192 0.4167 0.000 0.420 0.580
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 1 0.0000 0.9924 1.000 0.000 0.000
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 3 0.6045 0.4937 0.000 0.380 0.620
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.0000 0.9924 1.000 0.000 0.000
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 3 0.5810 0.5629 0.000 0.336 0.664
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.9924 1.000 0.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.9924 1.000 0.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 3 0.6299 0.2798 0.000 0.476 0.524
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.0000 0.9924 1.000 0.000 0.000
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.2356 0.8005 0.000 0.928 0.072
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.8829 0.000 0.000 1.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 3 0.0000 0.8829 0.000 0.000 1.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.0000 0.8829 0.000 0.000 1.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 2 0.6308 0.1107 0.492 0.508 0.000
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 3 0.0000 0.8829 0.000 0.000 1.000
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.4796 0.6026 0.000 0.780 0.220
#> 479A968D-4692-404B-A866-B74E7DD17995 3 0.6126 0.4576 0.000 0.400 0.600
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.0000 0.8613 0.000 1.000 0.000
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.9924 1.000 0.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.9924 1.000 0.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.0000 0.9924 1.000 0.000 0.000
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0000 0.9924 1.000 0.000 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 3 0.0000 0.8829 0.000 0.000 1.000
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 3 0.1411 0.8621 0.000 0.036 0.964
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0000 0.9924 1.000 0.000 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 3 0.0000 0.8829 0.000 0.000 1.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.0000 0.9924 1.000 0.000 0.000
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.0000 0.9924 1.000 0.000 0.000
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.8829 0.000 0.000 1.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.0000 0.9924 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.4994 0.75685 0.520 0.000 0.480 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.4994 0.84906 0.000 0.480 0.520 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.0000 0.67942 1.000 0.000 0.000 0.000
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.4994 0.75685 0.520 0.000 0.480 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.0000 0.67942 1.000 0.000 0.000 0.000
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.2408 0.69745 0.896 0.000 0.104 0.000
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 4 0.0000 0.61558 0.000 0.000 0.000 1.000
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 4 0.0817 0.60491 0.000 0.024 0.000 0.976
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.0000 0.67942 1.000 0.000 0.000 0.000
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 4 0.5497 0.31915 0.016 0.000 0.460 0.524
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.5436 0.72616 0.620 0.000 0.356 0.024
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 2 0.4992 -0.78387 0.000 0.524 0.476 0.000
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.4994 0.75685 0.520 0.000 0.480 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 3 0.4996 0.84318 0.000 0.484 0.516 0.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 4 0.4916 0.38476 0.000 0.000 0.424 0.576
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 4 0.7146 -0.03701 0.000 0.132 0.412 0.456
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.4994 0.75685 0.520 0.000 0.480 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.4994 0.75685 0.520 0.000 0.480 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 1 0.0000 0.67942 1.000 0.000 0.000 0.000
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.4989 0.75572 0.528 0.000 0.472 0.000
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 1 0.4008 0.34323 0.756 0.000 0.000 0.244
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.4817 -0.62467 0.000 0.612 0.388 0.000
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 4 0.0000 0.61558 0.000 0.000 0.000 1.000
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.4994 0.75685 0.520 0.000 0.480 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 2 0.6319 0.14339 0.436 0.504 0.000 0.060
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 1 0.0000 0.67942 1.000 0.000 0.000 0.000
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.4981 0.21136 0.000 0.536 0.000 0.464
#> 375FE390-434B-41D3-9029-84065B1D7B6F 4 0.4888 0.06216 0.000 0.412 0.000 0.588
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.4994 0.75685 0.520 0.000 0.480 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.2530 0.16006 0.000 0.888 0.112 0.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.1256 0.41530 0.000 0.964 0.008 0.028
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.0188 0.39472 0.000 0.996 0.000 0.004
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.1302 0.43270 0.000 0.956 0.000 0.044
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.0000 0.67942 1.000 0.000 0.000 0.000
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 2 0.4967 -0.74312 0.000 0.548 0.452 0.000
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 4 0.4948 -0.00831 0.000 0.440 0.000 0.560
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 1 0.0000 0.67942 1.000 0.000 0.000 0.000
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.4994 0.84906 0.000 0.480 0.520 0.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.4989 0.75572 0.528 0.000 0.472 0.000
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.4994 0.84906 0.000 0.480 0.520 0.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 4 0.0000 0.61558 0.000 0.000 0.000 1.000
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.4994 0.84906 0.000 0.480 0.520 0.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.4994 0.84906 0.000 0.480 0.520 0.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 1 0.0000 0.67942 1.000 0.000 0.000 0.000
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 4 0.4992 0.31372 0.000 0.000 0.476 0.524
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.4989 0.75572 0.528 0.000 0.472 0.000
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 4 0.3311 0.48927 0.000 0.172 0.000 0.828
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 1 0.0000 0.67942 1.000 0.000 0.000 0.000
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.4643 0.73478 0.656 0.000 0.344 0.000
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 4 0.4072 0.37951 0.000 0.252 0.000 0.748
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 4 0.4817 0.11205 0.000 0.388 0.000 0.612
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 4 0.4985 0.32492 0.000 0.000 0.468 0.532
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.4994 0.84906 0.000 0.480 0.520 0.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.4994 0.75685 0.520 0.000 0.480 0.000
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 2 0.0921 0.42141 0.000 0.972 0.000 0.028
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 4 0.0000 0.61558 0.000 0.000 0.000 1.000
#> 208165C0-229B-49E2-A22A-575CA3157C9E 4 0.4855 0.09271 0.000 0.400 0.000 0.600
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 1 0.4994 0.75685 0.520 0.000 0.480 0.000
#> 01397021-8495-4D89-885A-166B4DBA0122 3 0.4994 0.84906 0.000 0.480 0.520 0.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 3 0.4994 0.84906 0.000 0.480 0.520 0.000
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.4994 0.75685 0.520 0.000 0.480 0.000
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 4 0.0000 0.61558 0.000 0.000 0.000 1.000
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 2 0.4866 -0.65682 0.000 0.596 0.404 0.000
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 3 0.4996 0.84288 0.000 0.484 0.516 0.000
#> AA569A06-0F37-4492-93F3-60A4539A3E82 2 0.4996 0.18118 0.000 0.516 0.000 0.484
#> BC53FB75-94CA-48C3-875B-5987037D186F 2 0.0188 0.39472 0.000 0.996 0.000 0.004
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 1 0.4994 0.75685 0.520 0.000 0.480 0.000
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 2 0.0188 0.39472 0.000 0.996 0.000 0.004
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 2 0.4994 0.18905 0.000 0.520 0.000 0.480
#> DF67F589-A607-4B95-96B8-4BB344132312 2 0.6701 -0.02063 0.000 0.564 0.108 0.328
#> A65233E6-C146-4ACF-8DDE-5FB12D8D9637 3 0.4994 0.84906 0.000 0.480 0.520 0.000
#> 7578C9A3-FFF8-45C4-AC28-1C6141A9A2AD 1 0.4992 0.75628 0.524 0.000 0.476 0.000
#> 4DF775B9-E2FE-4F5E-8329-C37E21C5D10E 1 0.0000 0.67942 1.000 0.000 0.000 0.000
#> 5E6B86C6-3D79-47BB-9FAF-CA22659CFEA7 1 0.0336 0.68098 0.992 0.000 0.008 0.000
#> 53286128-668B-47EA-9A5F-D768FDCCBE88 1 0.4994 0.75685 0.520 0.000 0.480 0.000
#> 01C9F351-97FE-4037-A879-9D96A3DD3FBB 2 0.4955 -0.73008 0.000 0.556 0.444 0.000
#> 5487DB21-6A58-46AC-A2A1-E343082D41D8 1 0.0000 0.67942 1.000 0.000 0.000 0.000
#> 0FB3E997-4E31-4FA6-9654-11C3C0AF8D86 2 0.4830 0.28733 0.000 0.608 0.000 0.392
#> A0706E80-FDF9-4721-BEB4-90527F6D38C4 4 0.7008 -0.17333 0.000 0.436 0.116 0.448
#> 5260226E-1826-4F54-8237-28993DD2EF04 3 0.4994 0.84906 0.000 0.480 0.520 0.000
#> F53F71A7-A399-49AB-8657-019C5C56F48C 2 0.0817 0.41731 0.000 0.976 0.000 0.024
#> 008159F2-5247-479A-8BFE-C394888D0B74 4 0.0000 0.61558 0.000 0.000 0.000 1.000
#> 9E6BA6FB-35F2-4510-94AE-3E7CDFED3D47 3 0.4994 0.84906 0.000 0.480 0.520 0.000
#> F12BE7AC-D2DD-4AD1-AB37-32DC85954F59 4 0.4948 0.36378 0.000 0.000 0.440 0.560
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#> D5D18AF8-9CC2-496C-A83A-31BBA0195CFD 1 0.5281 0.75083 0.528 0.000 0.464 0.008
#> 03767EDF-2F8A-41DE-8D80-F4BE861225A3 1 0.5085 0.18362 0.676 0.020 0.304 0.000
#> 586BC656-AD9C-44EF-9ED4-87DEEB5C8AA6 1 0.4994 0.75685 0.520 0.000 0.480 0.000
#> 23CA1146-CB1B-4054-A4FF-200B87444BF9 1 0.4994 0.75685 0.520 0.000 0.480 0.000
#> 910E9B6D-E7D5-4C83-A19C-1EEA6E135639 4 0.4994 0.30760 0.000 0.000 0.480 0.520
#> F36353A3-6CE6-4347-A78B-0AAD8FAB14AD 1 0.4994 0.75685 0.520 0.000 0.480 0.000
#> 2045736E-7D0F-4B17-B74B-3B12AEE3E68C 1 0.4994 0.75685 0.520 0.000 0.480 0.000
#> 5EFA2C2D-30B3-4D66-9601-354711F9FC56 3 0.4994 0.84906 0.000 0.480 0.520 0.000
#> 3FBD381D-84C8-4680-980B-CC4B7924BE06 2 0.4981 0.21007 0.000 0.536 0.000 0.464
#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 4 0.0000 0.61558 0.000 0.000 0.000 1.000
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 1 0.0000 0.67942 1.000 0.000 0.000 0.000
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 2 0.4992 0.19596 0.000 0.524 0.000 0.476
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 3 0.6716 0.16352 0.000 0.092 0.504 0.404
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 1 0.0000 0.67942 1.000 0.000 0.000 0.000
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 2 0.0188 0.39472 0.000 0.996 0.000 0.004
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 4 0.0000 0.61558 0.000 0.000 0.000 1.000
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 1 0.4817 0.74208 0.612 0.000 0.388 0.000
#> A3343F40-F977-4F9B-856A-28781F10F4CD 4 0.7297 -0.03481 0.000 0.152 0.392 0.456
#> DA144299-5541-47D7-A59E-C92896DF08FC 1 0.2647 0.69919 0.880 0.000 0.120 0.000
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 2 0.2469 0.16790 0.000 0.892 0.108 0.000
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.4994 0.75685 0.520 0.000 0.480 0.000
#> 617447CF-9327-4062-B22C-71A8944C948F 2 0.4994 0.18905 0.000 0.520 0.000 0.480
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.4994 0.75685 0.520 0.000 0.480 0.000
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 4 0.3266 0.48833 0.000 0.168 0.000 0.832
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.4994 0.75685 0.520 0.000 0.480 0.000
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 3 0.7751 0.10471 0.000 0.240 0.416 0.344
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.4994 0.75685 0.520 0.000 0.480 0.000
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 3 0.4994 0.84906 0.000 0.480 0.520 0.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 4 0.2844 0.55936 0.000 0.048 0.052 0.900
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 3 0.4994 0.84906 0.000 0.480 0.520 0.000
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.4989 0.75572 0.528 0.000 0.472 0.000
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 1 0.0000 0.67942 1.000 0.000 0.000 0.000
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.4804 0.28903 0.000 0.616 0.000 0.384
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 1 0.0336 0.68098 0.992 0.000 0.008 0.000
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.4994 0.75685 0.520 0.000 0.480 0.000
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 3 0.4994 0.84906 0.000 0.480 0.520 0.000
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 2 0.5000 -0.82184 0.000 0.500 0.500 0.000
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 1 0.0000 0.67942 1.000 0.000 0.000 0.000
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 1 0.4799 0.35449 0.744 0.032 0.224 0.000
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.4994 0.75685 0.520 0.000 0.480 0.000
#> DA1301D3-1F84-46C5-AB44-079493A81A51 1 0.0000 0.67942 1.000 0.000 0.000 0.000
#> A12B1681-B598-40C3-80FE-1801F3F1189D 1 0.0336 0.68098 0.992 0.000 0.008 0.000
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 4 0.4431 0.29463 0.000 0.304 0.000 0.696
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 4 0.4746 0.45379 0.000 0.000 0.368 0.632
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.0188 0.39472 0.000 0.996 0.000 0.004
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 4 0.3266 0.49462 0.000 0.168 0.000 0.832
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 1 0.0000 0.67942 1.000 0.000 0.000 0.000
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.6483 0.02806 0.000 0.584 0.092 0.324
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.4961 -0.73620 0.000 0.552 0.448 0.000
#> 1D0379B1-0E99-4E6D-B890-907C92860654 4 0.1211 0.59593 0.000 0.040 0.000 0.960
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.4992 0.19596 0.000 0.524 0.000 0.476
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 4 0.0000 0.61558 0.000 0.000 0.000 1.000
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 4 0.0188 0.61393 0.000 0.004 0.000 0.996
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.4994 0.75685 0.520 0.000 0.480 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.5281 0.20770 0.000 0.528 0.008 0.464
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.0000 0.67942 1.000 0.000 0.000 0.000
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.5511 0.17133 0.000 0.636 0.032 0.332
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.4994 0.75685 0.520 0.000 0.480 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.4989 0.20009 0.000 0.528 0.000 0.472
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 1 0.0000 0.67942 1.000 0.000 0.000 0.000
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.4985 0.20648 0.000 0.532 0.000 0.468
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.0592 0.68274 0.984 0.000 0.016 0.000
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 4 0.7816 -0.13869 0.000 0.260 0.340 0.400
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.4994 0.75685 0.520 0.000 0.480 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.4994 0.75685 0.520 0.000 0.480 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.6148 0.18060 0.000 0.484 0.048 0.468
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.4992 0.75412 0.524 0.000 0.476 0.000
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.4994 0.18905 0.000 0.520 0.000 0.480
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.4994 0.84906 0.000 0.480 0.520 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 2 0.4985 -0.77032 0.000 0.532 0.468 0.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.4994 0.84906 0.000 0.480 0.520 0.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 4 0.4994 0.30760 0.000 0.000 0.480 0.520
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.0592 0.36588 0.000 0.984 0.016 0.000
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 4 0.3958 0.48793 0.000 0.032 0.144 0.824
#> 479A968D-4692-404B-A866-B74E7DD17995 3 0.6792 0.08919 0.000 0.096 0.476 0.428
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 4 0.4406 0.30127 0.000 0.300 0.000 0.700
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.4994 0.75685 0.520 0.000 0.480 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.4994 0.75685 0.520 0.000 0.480 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.0000 0.67942 1.000 0.000 0.000 0.000
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.4994 0.75685 0.520 0.000 0.480 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.0188 0.39472 0.000 0.996 0.000 0.004
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.4382 0.38278 0.000 0.704 0.000 0.296
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.4994 0.75685 0.520 0.000 0.480 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.0188 0.39472 0.000 0.996 0.000 0.004
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.4994 0.75685 0.520 0.000 0.480 0.000
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.0000 0.67942 1.000 0.000 0.000 0.000
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.4994 0.84906 0.000 0.480 0.520 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.0000 0.67942 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
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.96455 1.000 0.000 0.000 0.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.89801 0.000 0.000 1.000 0.000 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 5 0.0000 0.92022 0.000 0.000 0.000 0.000 1.000
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.0000 0.96455 1.000 0.000 0.000 0.000 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 5 0.0000 0.92022 0.000 0.000 0.000 0.000 1.000
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.4126 0.33820 0.620 0.000 0.000 0.000 0.380
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 4 0.0000 0.77897 0.000 0.000 0.000 1.000 0.000
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 4 0.4088 0.41547 0.000 0.368 0.000 0.632 0.000
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 5 0.0000 0.92022 0.000 0.000 0.000 0.000 1.000
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 4 0.5026 0.45553 0.372 0.000 0.000 0.588 0.040
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 5 0.4610 0.27822 0.432 0.000 0.000 0.012 0.556
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 3 0.0703 0.88675 0.000 0.024 0.976 0.000 0.000
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.96455 1.000 0.000 0.000 0.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 3 0.0000 0.89801 0.000 0.000 1.000 0.000 0.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 4 0.3752 0.60611 0.292 0.000 0.000 0.708 0.000
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 3 0.5026 0.46010 0.000 0.040 0.588 0.372 0.000
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0000 0.96455 1.000 0.000 0.000 0.000 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.96455 1.000 0.000 0.000 0.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 5 0.0000 0.92022 0.000 0.000 0.000 0.000 1.000
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0290 0.95740 0.992 0.000 0.000 0.000 0.008
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 5 0.0162 0.91756 0.000 0.000 0.000 0.004 0.996
#> 83453F80-8A68-4A3C-995D-85CFB1011249 3 0.1478 0.86048 0.000 0.064 0.936 0.000 0.000
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 4 0.0000 0.77897 0.000 0.000 0.000 1.000 0.000
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0000 0.96455 1.000 0.000 0.000 0.000 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 2 0.0510 0.85673 0.000 0.984 0.000 0.000 0.016
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 5 0.0000 0.92022 0.000 0.000 0.000 0.000 1.000
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.2605 0.79355 0.000 0.852 0.000 0.148 0.000
#> 375FE390-434B-41D3-9029-84065B1D7B6F 2 0.1410 0.82932 0.000 0.940 0.000 0.060 0.000
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 0.96455 1.000 0.000 0.000 0.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.4302 0.10214 0.000 0.520 0.480 0.000 0.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.2179 0.81098 0.000 0.896 0.100 0.004 0.000
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.0000 0.86590 0.000 1.000 0.000 0.000 0.000
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.0000 0.86590 0.000 1.000 0.000 0.000 0.000
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 5 0.0000 0.92022 0.000 0.000 0.000 0.000 1.000
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 3 0.0703 0.88675 0.000 0.024 0.976 0.000 0.000
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 2 0.1341 0.83490 0.000 0.944 0.000 0.056 0.000
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 5 0.0000 0.92022 0.000 0.000 0.000 0.000 1.000
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0000 0.89801 0.000 0.000 1.000 0.000 0.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.0703 0.94241 0.976 0.000 0.000 0.000 0.024
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.0000 0.89801 0.000 0.000 1.000 0.000 0.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 4 0.0000 0.77897 0.000 0.000 0.000 1.000 0.000
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.0000 0.89801 0.000 0.000 1.000 0.000 0.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.0000 0.89801 0.000 0.000 1.000 0.000 0.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 5 0.0404 0.91353 0.012 0.000 0.000 0.000 0.988
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 4 0.4030 0.52228 0.352 0.000 0.000 0.648 0.000
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.0000 0.96455 1.000 0.000 0.000 0.000 0.000
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 4 0.2732 0.64931 0.000 0.160 0.000 0.840 0.000
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 5 0.0000 0.92022 0.000 0.000 0.000 0.000 1.000
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.2280 0.83011 0.880 0.000 0.000 0.000 0.120
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 2 0.3561 0.57591 0.000 0.740 0.000 0.260 0.000
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 4 0.4262 -0.01166 0.000 0.440 0.000 0.560 0.000
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 4 0.3508 0.65096 0.252 0.000 0.000 0.748 0.000
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.0000 0.89801 0.000 0.000 1.000 0.000 0.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.0000 0.96455 1.000 0.000 0.000 0.000 0.000
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 2 0.0000 0.86590 0.000 1.000 0.000 0.000 0.000
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 4 0.0000 0.77897 0.000 0.000 0.000 1.000 0.000
#> 208165C0-229B-49E2-A22A-575CA3157C9E 2 0.1671 0.81587 0.000 0.924 0.000 0.076 0.000
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 1 0.0000 0.96455 1.000 0.000 0.000 0.000 0.000
#> 01397021-8495-4D89-885A-166B4DBA0122 3 0.0000 0.89801 0.000 0.000 1.000 0.000 0.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 3 0.0000 0.89801 0.000 0.000 1.000 0.000 0.000
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.0000 0.96455 1.000 0.000 0.000 0.000 0.000
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 4 0.0000 0.77897 0.000 0.000 0.000 1.000 0.000
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 3 0.1792 0.84444 0.000 0.084 0.916 0.000 0.000
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 3 0.0000 0.89801 0.000 0.000 1.000 0.000 0.000
#> AA569A06-0F37-4492-93F3-60A4539A3E82 2 0.0000 0.86590 0.000 1.000 0.000 0.000 0.000
#> BC53FB75-94CA-48C3-875B-5987037D186F 2 0.0000 0.86590 0.000 1.000 0.000 0.000 0.000
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 1 0.0000 0.96455 1.000 0.000 0.000 0.000 0.000
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 2 0.0000 0.86590 0.000 1.000 0.000 0.000 0.000
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#> 022BCEE2-4794-4D5D-87E5-22CD25FDBA98 3 0.1121 0.87477 0.000 0.044 0.956 0.000 0.000
#> 2AF33CEA-C327-4A31-84D8-C4F26E8A3ECF 4 0.3999 0.53438 0.344 0.000 0.000 0.656 0.000
#> E877B9C0-11C5-4CC8-BAE1-AC210535F3DB 4 0.4060 0.50892 0.360 0.000 0.000 0.640 0.000
#> 0E737E9F-1045-4B86-A290-ED927D5DE7BF 2 0.0000 0.86590 0.000 1.000 0.000 0.000 0.000
#> D1B88E26-3B64-4E1A-8E50-22AD100BD9F9 4 0.0000 0.77897 0.000 0.000 0.000 1.000 0.000
#> 3AEB8943-FE34-4014-B851-BBF83857A794 4 0.4305 -0.03708 0.000 0.488 0.000 0.512 0.000
#> BECD727E-E3C1-4C42-9047-D97B7444B20B 4 0.0000 0.77897 0.000 0.000 0.000 1.000 0.000
#> AF866E63-9EA1-4669-B9C4-FC7E877334AE 2 0.0000 0.86590 0.000 1.000 0.000 0.000 0.000
#> F9C8E54A-4CE4-4839-B0CA-58678461EEF1 3 0.0798 0.88760 0.000 0.008 0.976 0.016 0.000
#> AE818BC4-05BF-4E85-A4AD-F3E43DD7D37A 2 0.6539 0.15372 0.000 0.432 0.368 0.200 0.000
#> BA73A860-CADE-408D-8D27-14EADA2B53B0 4 0.4101 0.48784 0.372 0.000 0.000 0.628 0.000
#> 688858C8-48CA-43E9-AE2C-B9D4F80B5EE9 2 0.0000 0.86590 0.000 1.000 0.000 0.000 0.000
#> EB1D52B2-17B3-491E-B484-1235633D6925 2 0.0000 0.86590 0.000 1.000 0.000 0.000 0.000
#> AE261B5D-3881-40B9-8EE7-26B950E0BE16 1 0.0000 0.96455 1.000 0.000 0.000 0.000 0.000
#> 8C9851D5-3091-4DE0-A59E-9122C0CA1CD2 3 0.4789 0.43788 0.000 0.024 0.584 0.392 0.000
#> C8180F95-4E9C-45DB-B959-B47F64167C2D 4 0.0000 0.77897 0.000 0.000 0.000 1.000 0.000
#> 552D3B42-8D22-4B64-B3A2-B3E5D51A8524 2 0.3039 0.75753 0.000 0.808 0.000 0.192 0.000
#> FED9F364-BC3F-4134-BF4B-4D24B0EB8315 5 0.0000 0.92022 0.000 0.000 0.000 0.000 1.000
#> 7B0D7792-C803-4DD0-B9BF-CB83DA2D199A 1 0.0000 0.96455 1.000 0.000 0.000 0.000 0.000
#> B4F82CBB-A47C-44C3-81AC-CF775FF06FCD 1 0.0000 0.96455 1.000 0.000 0.000 0.000 0.000
#> BFAB10CF-5B24-40F7-92E7-C2E60DD779EF 5 0.3039 0.76836 0.192 0.000 0.000 0.000 0.808
#> E4E259E1-48B2-4C76-B113-E46270742F53 2 0.0000 0.86590 0.000 1.000 0.000 0.000 0.000
#> 81FCBC31-367A-4B1C-A832-B133E4A43738 4 0.4575 0.46986 0.000 0.328 0.000 0.648 0.024
#> 8690FA0F-9C1C-4D97-813A-3FB56827FBFC 4 0.4305 -0.17264 0.000 0.488 0.000 0.512 0.000
#> 9810CF0C-99D1-445B-B1F9-C956D2438495 3 0.0000 0.89801 0.000 0.000 1.000 0.000 0.000
#> 2F5073E1-9EDD-46B5-95E3-8314E2A5B620 5 0.0000 0.92022 0.000 0.000 0.000 0.000 1.000
#> B454F9FB-439A-43B5-877D-752D0F138AB5 2 0.3109 0.72531 0.000 0.800 0.200 0.000 0.000
#> 287F2B71-92F8-4D14-8249-C1BFBB254BE7 1 0.0000 0.96455 1.000 0.000 0.000 0.000 0.000
#> 52DC920F-0AD5-47CE-BD81-31843876B71E 1 0.0000 0.96455 1.000 0.000 0.000 0.000 0.000
#> 6BAC4B1B-C3FC-4A09-9821-232E510E6A47 5 0.2471 0.82320 0.136 0.000 0.000 0.000 0.864
#> A2B87EED-0D8E-4B20-85D3-FD9CC5E2E806 1 0.0000 0.96455 1.000 0.000 0.000 0.000 0.000
#> 43E6DB93-2DA6-4F0F-BF81-0C3869134D2B 1 0.0000 0.96455 1.000 0.000 0.000 0.000 0.000
#> 09A2ED74-A7C7-4DBB-8EDD-C80D0F0AEFDF 5 0.1671 0.86808 0.076 0.000 0.000 0.000 0.924
#> 35EDCB52-D4B5-4305-8A74-95EFE6F2BFB1 5 0.3143 0.75540 0.204 0.000 0.000 0.000 0.796
#> D5D18AF8-9CC2-496C-A83A-31BBA0195CFD 1 0.3913 0.52097 0.676 0.000 0.000 0.000 0.324
#> 03767EDF-2F8A-41DE-8D80-F4BE861225A3 5 0.0000 0.92022 0.000 0.000 0.000 0.000 1.000
#> 586BC656-AD9C-44EF-9ED4-87DEEB5C8AA6 1 0.0000 0.96455 1.000 0.000 0.000 0.000 0.000
#> 23CA1146-CB1B-4054-A4FF-200B87444BF9 1 0.0000 0.96455 1.000 0.000 0.000 0.000 0.000
#> 910E9B6D-E7D5-4C83-A19C-1EEA6E135639 4 0.4101 0.48784 0.372 0.000 0.000 0.628 0.000
#> F36353A3-6CE6-4347-A78B-0AAD8FAB14AD 1 0.0000 0.96455 1.000 0.000 0.000 0.000 0.000
#> 2045736E-7D0F-4B17-B74B-3B12AEE3E68C 1 0.0000 0.96455 1.000 0.000 0.000 0.000 0.000
#> 5EFA2C2D-30B3-4D66-9601-354711F9FC56 3 0.0000 0.89801 0.000 0.000 1.000 0.000 0.000
#> 3FBD381D-84C8-4680-980B-CC4B7924BE06 2 0.2813 0.77894 0.000 0.832 0.000 0.168 0.000
#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 4 0.0794 0.77163 0.000 0.028 0.000 0.972 0.000
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 5 0.0000 0.92022 0.000 0.000 0.000 0.000 1.000
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 2 0.3816 0.62541 0.000 0.696 0.000 0.304 0.000
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 3 0.4387 0.52396 0.000 0.012 0.640 0.348 0.000
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 5 0.0000 0.92022 0.000 0.000 0.000 0.000 1.000
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 2 0.0510 0.85845 0.000 0.984 0.016 0.000 0.000
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 4 0.0000 0.77897 0.000 0.000 0.000 1.000 0.000
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 1 0.4305 -0.02752 0.512 0.000 0.000 0.000 0.488
#> A3343F40-F977-4F9B-856A-28781F10F4CD 3 0.4934 0.47709 0.000 0.036 0.600 0.364 0.000
#> DA144299-5541-47D7-A59E-C92896DF08FC 5 0.3661 0.63272 0.276 0.000 0.000 0.000 0.724
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 2 0.3274 0.69939 0.000 0.780 0.220 0.000 0.000
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.0000 0.96455 1.000 0.000 0.000 0.000 0.000
#> 617447CF-9327-4062-B22C-71A8944C948F 2 0.4114 0.50974 0.000 0.624 0.000 0.376 0.000
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0000 0.96455 1.000 0.000 0.000 0.000 0.000
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 4 0.2690 0.65432 0.000 0.156 0.000 0.844 0.000
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.0000 0.96455 1.000 0.000 0.000 0.000 0.000
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 3 0.4204 0.70224 0.000 0.048 0.756 0.196 0.000
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.0000 0.96455 1.000 0.000 0.000 0.000 0.000
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 3 0.0000 0.89801 0.000 0.000 1.000 0.000 0.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 4 0.1768 0.73726 0.000 0.004 0.072 0.924 0.000
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 3 0.0000 0.89801 0.000 0.000 1.000 0.000 0.000
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.1197 0.91827 0.952 0.000 0.000 0.000 0.048
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 5 0.0000 0.92022 0.000 0.000 0.000 0.000 1.000
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.2813 0.77894 0.000 0.832 0.000 0.168 0.000
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 5 0.2891 0.78546 0.176 0.000 0.000 0.000 0.824
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.0000 0.96455 1.000 0.000 0.000 0.000 0.000
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 3 0.0000 0.89801 0.000 0.000 1.000 0.000 0.000
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 3 0.0162 0.89639 0.000 0.004 0.996 0.000 0.000
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 5 0.0000 0.92022 0.000 0.000 0.000 0.000 1.000
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 5 0.0000 0.92022 0.000 0.000 0.000 0.000 1.000
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.0000 0.96455 1.000 0.000 0.000 0.000 0.000
#> DA1301D3-1F84-46C5-AB44-079493A81A51 5 0.0000 0.92022 0.000 0.000 0.000 0.000 1.000
#> A12B1681-B598-40C3-80FE-1801F3F1189D 5 0.2516 0.81967 0.140 0.000 0.000 0.000 0.860
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 2 0.3074 0.67675 0.000 0.804 0.000 0.196 0.000
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 4 0.2852 0.72153 0.172 0.000 0.000 0.828 0.000
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.0000 0.86590 0.000 1.000 0.000 0.000 0.000
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 4 0.3305 0.55863 0.000 0.224 0.000 0.776 0.000
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 5 0.0000 0.92022 0.000 0.000 0.000 0.000 1.000
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 3 0.5740 0.48861 0.000 0.152 0.616 0.232 0.000
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 3 0.0703 0.88675 0.000 0.024 0.976 0.000 0.000
#> 1D0379B1-0E99-4E6D-B890-907C92860654 4 0.4192 0.34036 0.000 0.404 0.000 0.596 0.000
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.2074 0.82021 0.000 0.896 0.000 0.104 0.000
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 4 0.0000 0.77897 0.000 0.000 0.000 1.000 0.000
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 4 0.0000 0.77897 0.000 0.000 0.000 1.000 0.000
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0000 0.96455 1.000 0.000 0.000 0.000 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.4668 0.52667 0.000 0.624 0.024 0.352 0.000
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 5 0.0000 0.92022 0.000 0.000 0.000 0.000 1.000
#> ECC40A03-488E-4076-8A3A-234D968623AD 3 0.6405 0.31049 0.000 0.252 0.512 0.236 0.000
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0000 0.96455 1.000 0.000 0.000 0.000 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.3074 0.75376 0.000 0.804 0.000 0.196 0.000
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 5 0.0000 0.92022 0.000 0.000 0.000 0.000 1.000
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.2813 0.77894 0.000 0.832 0.000 0.168 0.000
#> AC376BBB-667B-4469-B567-9BE18DE0F811 5 0.4060 0.49731 0.360 0.000 0.000 0.000 0.640
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 3 0.6279 0.36330 0.000 0.280 0.528 0.192 0.000
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.96455 1.000 0.000 0.000 0.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.96455 1.000 0.000 0.000 0.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.5778 0.37888 0.000 0.528 0.096 0.376 0.000
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.1671 0.88844 0.924 0.000 0.000 0.000 0.076
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.3837 0.62027 0.000 0.692 0.000 0.308 0.000
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.89801 0.000 0.000 1.000 0.000 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 3 0.0703 0.88675 0.000 0.024 0.976 0.000 0.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.0000 0.89801 0.000 0.000 1.000 0.000 0.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 4 0.4101 0.48784 0.372 0.000 0.000 0.628 0.000
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.0510 0.85845 0.000 0.984 0.016 0.000 0.000
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 4 0.3132 0.62009 0.000 0.008 0.172 0.820 0.000
#> 479A968D-4692-404B-A866-B74E7DD17995 3 0.4696 0.49638 0.000 0.024 0.616 0.360 0.000
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 4 0.4114 0.21280 0.000 0.376 0.000 0.624 0.000
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.96455 1.000 0.000 0.000 0.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.96455 1.000 0.000 0.000 0.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 5 0.0290 0.91597 0.008 0.000 0.000 0.000 0.992
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0000 0.96455 1.000 0.000 0.000 0.000 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.0000 0.86590 0.000 1.000 0.000 0.000 0.000
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.0000 0.86590 0.000 1.000 0.000 0.000 0.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0000 0.96455 1.000 0.000 0.000 0.000 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.0000 0.86590 0.000 1.000 0.000 0.000 0.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.0000 0.96455 1.000 0.000 0.000 0.000 0.000
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 5 0.0000 0.92022 0.000 0.000 0.000 0.000 1.000
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.89801 0.000 0.000 1.000 0.000 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 5 0.0000 0.92022 0.000 0.000 0.000 0.000 1.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0146 0.972 0.996 0.000 0.000 0.004 0.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.947 0.000 0.000 1.000 0.000 0.000 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 5 0.0146 0.914 0.000 0.004 0.000 0.000 0.996 0.000
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.0935 0.950 0.964 0.004 0.000 0.032 0.000 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 5 0.0146 0.914 0.000 0.004 0.000 0.000 0.996 0.000
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.1957 0.861 0.888 0.000 0.000 0.000 0.112 0.000
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 4 0.0972 0.927 0.000 0.008 0.000 0.964 0.000 0.028
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 6 0.4062 0.128 0.000 0.008 0.000 0.440 0.000 0.552
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 5 0.0146 0.914 0.000 0.004 0.000 0.000 0.996 0.000
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 4 0.0291 0.925 0.000 0.000 0.000 0.992 0.004 0.004
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 5 0.3612 0.763 0.168 0.000 0.000 0.052 0.780 0.000
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 3 0.2912 0.670 0.000 0.216 0.784 0.000 0.000 0.000
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.973 1.000 0.000 0.000 0.000 0.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 3 0.0713 0.920 0.000 0.028 0.972 0.000 0.000 0.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 4 0.1806 0.880 0.004 0.000 0.000 0.908 0.000 0.088
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.0692 0.876 0.000 0.976 0.004 0.000 0.000 0.020
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0146 0.972 0.996 0.000 0.000 0.004 0.000 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0146 0.972 0.996 0.000 0.000 0.004 0.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 5 0.0146 0.914 0.000 0.004 0.000 0.000 0.996 0.000
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0458 0.961 0.984 0.000 0.000 0.000 0.016 0.000
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 5 0.3548 0.751 0.000 0.004 0.000 0.048 0.796 0.152
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.0713 0.878 0.000 0.972 0.028 0.000 0.000 0.000
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 4 0.0891 0.928 0.000 0.008 0.000 0.968 0.000 0.024
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0000 0.973 1.000 0.000 0.000 0.000 0.000 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 6 0.0547 0.892 0.000 0.020 0.000 0.000 0.000 0.980
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 5 0.0000 0.915 0.000 0.000 0.000 0.000 1.000 0.000
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.0547 0.878 0.000 0.980 0.000 0.000 0.000 0.020
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#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.0547 0.878 0.000 0.980 0.000 0.000 0.000 0.020
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 5 0.0000 0.915 0.000 0.000 0.000 0.000 1.000 0.000
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.0547 0.878 0.000 0.980 0.000 0.000 0.000 0.020
#> AC376BBB-667B-4469-B567-9BE18DE0F811 5 0.3515 0.585 0.324 0.000 0.000 0.000 0.676 0.000
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.0713 0.878 0.000 0.972 0.028 0.000 0.000 0.000
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.973 1.000 0.000 0.000 0.000 0.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.973 1.000 0.000 0.000 0.000 0.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.0146 0.880 0.000 0.996 0.004 0.000 0.000 0.000
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.2854 0.847 0.860 0.000 0.048 0.004 0.088 0.000
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.0146 0.880 0.000 0.996 0.000 0.000 0.000 0.004
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.947 0.000 0.000 1.000 0.000 0.000 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 2 0.3672 0.475 0.000 0.632 0.368 0.000 0.000 0.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.0000 0.947 0.000 0.000 1.000 0.000 0.000 0.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 4 0.0146 0.926 0.004 0.000 0.000 0.996 0.000 0.000
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 6 0.1814 0.880 0.000 0.100 0.000 0.000 0.000 0.900
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.1515 0.861 0.000 0.944 0.008 0.028 0.000 0.020
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.0790 0.875 0.000 0.968 0.032 0.000 0.000 0.000
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.5535 -0.183 0.000 0.436 0.000 0.432 0.000 0.132
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.973 1.000 0.000 0.000 0.000 0.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.973 1.000 0.000 0.000 0.000 0.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 5 0.0291 0.914 0.004 0.004 0.000 0.000 0.992 0.000
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0146 0.971 0.996 0.004 0.000 0.000 0.000 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 6 0.2883 0.773 0.000 0.212 0.000 0.000 0.000 0.788
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.2260 0.778 0.000 0.860 0.000 0.000 0.000 0.140
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0000 0.973 1.000 0.000 0.000 0.000 0.000 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 6 0.2969 0.759 0.000 0.224 0.000 0.000 0.000 0.776
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.0000 0.973 1.000 0.000 0.000 0.000 0.000 0.000
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 5 0.0146 0.914 0.000 0.004 0.000 0.000 0.996 0.000
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.947 0.000 0.000 1.000 0.000 0.000 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 5 0.0000 0.915 0.000 0.000 0.000 0.000 1.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["SD", "pam"]
# you can also extract it by
# res = res_list["SD:pam"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#> On a matrix with 17654 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'SD' method.
#> Subgroups are detected by 'pam' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 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 0.918 0.931 0.972 0.4970 0.502 0.502
#> 3 3 0.952 0.930 0.974 0.1889 0.848 0.714
#> 4 4 0.776 0.824 0.908 0.2078 0.823 0.594
#> 5 5 0.742 0.744 0.879 0.0873 0.854 0.552
#> 6 6 0.824 0.815 0.895 0.0503 0.920 0.668
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
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.9594 1.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 2 0.0000 0.9798 0.000 1.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.0000 0.9594 1.000 0.000
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.0000 0.9594 1.000 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.0000 0.9594 1.000 0.000
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.0000 0.9594 1.000 0.000
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 1 0.7219 0.7516 0.800 0.200
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 2 0.0000 0.9798 0.000 1.000
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.0000 0.9594 1.000 0.000
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 1 0.4431 0.8804 0.908 0.092
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.0000 0.9594 1.000 0.000
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 2 0.0000 0.9798 0.000 1.000
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.9594 1.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 2 0.0000 0.9798 0.000 1.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 1 0.0000 0.9594 1.000 0.000
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.0000 0.9798 0.000 1.000
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0000 0.9594 1.000 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.9594 1.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 1 0.1414 0.9443 0.980 0.020
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0000 0.9594 1.000 0.000
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 1 0.9552 0.4346 0.624 0.376
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.0000 0.9798 0.000 1.000
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 1 0.9323 0.4985 0.652 0.348
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0000 0.9594 1.000 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 2 0.0000 0.9798 0.000 1.000
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 1 0.0000 0.9594 1.000 0.000
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.0000 0.9798 0.000 1.000
#> 375FE390-434B-41D3-9029-84065B1D7B6F 2 0.0000 0.9798 0.000 1.000
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 0.9594 1.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.0000 0.9798 0.000 1.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.0000 0.9798 0.000 1.000
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.0000 0.9798 0.000 1.000
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.0000 0.9798 0.000 1.000
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.0000 0.9594 1.000 0.000
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 2 0.0000 0.9798 0.000 1.000
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 2 0.0000 0.9798 0.000 1.000
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 1 0.0000 0.9594 1.000 0.000
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 2 0.0000 0.9798 0.000 1.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.0000 0.9594 1.000 0.000
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 2 0.0000 0.9798 0.000 1.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 1 0.9977 0.1545 0.528 0.472
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 2 0.0000 0.9798 0.000 1.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 2 0.0000 0.9798 0.000 1.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 1 0.0000 0.9594 1.000 0.000
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 1 0.1843 0.9379 0.972 0.028
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.0000 0.9594 1.000 0.000
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 2 0.0000 0.9798 0.000 1.000
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 1 0.0672 0.9535 0.992 0.008
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.0000 0.9594 1.000 0.000
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 2 0.0000 0.9798 0.000 1.000
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.0000 0.9798 0.000 1.000
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 1 0.0000 0.9594 1.000 0.000
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 2 0.0000 0.9798 0.000 1.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.0000 0.9594 1.000 0.000
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 2 0.0000 0.9798 0.000 1.000
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 2 0.0000 0.9798 0.000 1.000
#> 208165C0-229B-49E2-A22A-575CA3157C9E 2 0.0000 0.9798 0.000 1.000
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 1 0.0000 0.9594 1.000 0.000
#> 01397021-8495-4D89-885A-166B4DBA0122 2 0.0000 0.9798 0.000 1.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 2 0.0000 0.9798 0.000 1.000
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.0000 0.9594 1.000 0.000
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 2 0.0000 0.9798 0.000 1.000
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 2 0.0000 0.9798 0.000 1.000
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 2 0.0000 0.9798 0.000 1.000
#> AA569A06-0F37-4492-93F3-60A4539A3E82 2 0.0000 0.9798 0.000 1.000
#> BC53FB75-94CA-48C3-875B-5987037D186F 2 0.0000 0.9798 0.000 1.000
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 1 0.0000 0.9594 1.000 0.000
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 2 0.0000 0.9798 0.000 1.000
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 2 0.0000 0.9798 0.000 1.000
#> DF67F589-A607-4B95-96B8-4BB344132312 2 0.0000 0.9798 0.000 1.000
#> A65233E6-C146-4ACF-8DDE-5FB12D8D9637 2 0.0000 0.9798 0.000 1.000
#> 7578C9A3-FFF8-45C4-AC28-1C6141A9A2AD 1 0.0000 0.9594 1.000 0.000
#> 4DF775B9-E2FE-4F5E-8329-C37E21C5D10E 2 0.8909 0.5459 0.308 0.692
#> 5E6B86C6-3D79-47BB-9FAF-CA22659CFEA7 1 0.0000 0.9594 1.000 0.000
#> 53286128-668B-47EA-9A5F-D768FDCCBE88 1 0.0000 0.9594 1.000 0.000
#> 01C9F351-97FE-4037-A879-9D96A3DD3FBB 2 0.0000 0.9798 0.000 1.000
#> 5487DB21-6A58-46AC-A2A1-E343082D41D8 1 0.0000 0.9594 1.000 0.000
#> 0FB3E997-4E31-4FA6-9654-11C3C0AF8D86 2 0.0000 0.9798 0.000 1.000
#> A0706E80-FDF9-4721-BEB4-90527F6D38C4 2 0.0000 0.9798 0.000 1.000
#> 5260226E-1826-4F54-8237-28993DD2EF04 2 0.0000 0.9798 0.000 1.000
#> F53F71A7-A399-49AB-8657-019C5C56F48C 2 0.0000 0.9798 0.000 1.000
#> 008159F2-5247-479A-8BFE-C394888D0B74 2 0.0000 0.9798 0.000 1.000
#> 9E6BA6FB-35F2-4510-94AE-3E7CDFED3D47 2 0.0000 0.9798 0.000 1.000
#> F12BE7AC-D2DD-4AD1-AB37-32DC85954F59 1 0.9170 0.5319 0.668 0.332
#> 38A6BA1F-B444-4155-A168-EC2DF0EE0785 1 0.0000 0.9594 1.000 0.000
#> B107D1DE-EE52-4E89-B75A-91124BFF99AE 2 0.0000 0.9798 0.000 1.000
#> D4D16D09-8895-4BEA-ABF7-F11C5D5BDCAA 1 0.0000 0.9594 1.000 0.000
#> 9A53C473-1364-4BB6-AD36-EF53E0208450 1 0.0000 0.9594 1.000 0.000
#> F00C0ED6-C811-4F32-BDB4-4ACA7861DC7D 2 0.0000 0.9798 0.000 1.000
#> 72618985-CD49-4B6F-8CB0-5EE590FAD09A 2 0.0000 0.9798 0.000 1.000
#> 978A315F-CCE9-4D03-A680-C0AD60B10557 2 0.0000 0.9798 0.000 1.000
#> B6EACAED-3944-4510-B685-0BB8D1651D4F 1 0.0376 0.9566 0.996 0.004
#> EBCF16B4-A804-45EB-8253-0F28A2645729 2 0.9635 0.3539 0.388 0.612
#> 637DC441-4A75-4DA8-8F65-91FDB5F103C7 2 0.6148 0.8074 0.152 0.848
#> 89F67654-A246-4307-9B17-4A1C01DB1AED 2 0.0000 0.9798 0.000 1.000
#> 3A8EB57B-71ED-4169-A8EB-624C67CDBBE1 2 0.0000 0.9798 0.000 1.000
#> CC4DA9C6-CAB2-44FF-8219-D293ECD07DD4 1 0.5629 0.8344 0.868 0.132
#> AEC4FDAA-8F60-43CE-8EBB-5629FA662F16 2 0.0000 0.9798 0.000 1.000
#> BFC0D795-64F4-48B3-AD08-8C564E5E5367 1 0.0000 0.9594 1.000 0.000
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#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 2 0.0000 0.9798 0.000 1.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 2 0.0000 0.9798 0.000 1.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 2 0.0000 0.9798 0.000 1.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 1 0.0000 0.9594 1.000 0.000
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.0000 0.9798 0.000 1.000
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.0000 0.9798 0.000 1.000
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.0000 0.9798 0.000 1.000
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.0000 0.9798 0.000 1.000
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.9594 1.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.9594 1.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.0000 0.9594 1.000 0.000
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0000 0.9594 1.000 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.0000 0.9798 0.000 1.000
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.0000 0.9798 0.000 1.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0000 0.9594 1.000 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.0000 0.9798 0.000 1.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.0000 0.9594 1.000 0.000
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.0000 0.9594 1.000 0.000
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 2 0.0000 0.9798 0.000 1.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.0000 0.9594 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.9662 1.000 0.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.9947 0.000 0.000 1.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.2796 0.8668 0.908 0.092 0.000
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.0000 0.9662 1.000 0.000 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.0000 0.9662 1.000 0.000 0.000
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.0000 0.9662 1.000 0.000 0.000
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 1 0.6079 0.3829 0.612 0.388 0.000
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 2 0.0000 0.9631 0.000 1.000 0.000
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.0000 0.9662 1.000 0.000 0.000
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 1 0.2796 0.8689 0.908 0.092 0.000
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.0000 0.9662 1.000 0.000 0.000
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 2 0.0000 0.9631 0.000 1.000 0.000
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.9662 1.000 0.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 2 0.4062 0.7862 0.000 0.836 0.164
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 1 0.0747 0.9513 0.984 0.016 0.000
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.0000 0.9631 0.000 1.000 0.000
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0000 0.9662 1.000 0.000 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.9662 1.000 0.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 1 0.1860 0.9138 0.948 0.052 0.000
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0000 0.9662 1.000 0.000 0.000
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 2 0.6204 0.2464 0.424 0.576 0.000
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.0000 0.9631 0.000 1.000 0.000
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 2 0.0892 0.9419 0.020 0.980 0.000
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0000 0.9662 1.000 0.000 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 2 0.0000 0.9631 0.000 1.000 0.000
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 1 0.0000 0.9662 1.000 0.000 0.000
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.0000 0.9631 0.000 1.000 0.000
#> 375FE390-434B-41D3-9029-84065B1D7B6F 2 0.0000 0.9631 0.000 1.000 0.000
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 0.9662 1.000 0.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.0000 0.9631 0.000 1.000 0.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.0000 0.9631 0.000 1.000 0.000
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.0000 0.9631 0.000 1.000 0.000
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.0000 0.9631 0.000 1.000 0.000
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.0000 0.9662 1.000 0.000 0.000
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 2 0.0000 0.9631 0.000 1.000 0.000
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 2 0.0000 0.9631 0.000 1.000 0.000
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 1 0.0000 0.9662 1.000 0.000 0.000
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0000 0.9947 0.000 0.000 1.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.0000 0.9662 1.000 0.000 0.000
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.0000 0.9947 0.000 0.000 1.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 2 0.0000 0.9631 0.000 1.000 0.000
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.0000 0.9947 0.000 0.000 1.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.0000 0.9947 0.000 0.000 1.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 1 0.0000 0.9662 1.000 0.000 0.000
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 1 0.1529 0.9278 0.960 0.040 0.000
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.0000 0.9662 1.000 0.000 0.000
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 2 0.0000 0.9631 0.000 1.000 0.000
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 1 0.0000 0.9662 1.000 0.000 0.000
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.0000 0.9662 1.000 0.000 0.000
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 2 0.0000 0.9631 0.000 1.000 0.000
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.0000 0.9631 0.000 1.000 0.000
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 1 0.0000 0.9662 1.000 0.000 0.000
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.0000 0.9947 0.000 0.000 1.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.0000 0.9662 1.000 0.000 0.000
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 2 0.0000 0.9631 0.000 1.000 0.000
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 2 0.0000 0.9631 0.000 1.000 0.000
#> 208165C0-229B-49E2-A22A-575CA3157C9E 2 0.0000 0.9631 0.000 1.000 0.000
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 1 0.0000 0.9662 1.000 0.000 0.000
#> 01397021-8495-4D89-885A-166B4DBA0122 3 0.0000 0.9947 0.000 0.000 1.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 3 0.0000 0.9947 0.000 0.000 1.000
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.0000 0.9662 1.000 0.000 0.000
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 2 0.0000 0.9631 0.000 1.000 0.000
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 2 0.0000 0.9631 0.000 1.000 0.000
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 2 0.0000 0.9631 0.000 1.000 0.000
#> AA569A06-0F37-4492-93F3-60A4539A3E82 2 0.0000 0.9631 0.000 1.000 0.000
#> BC53FB75-94CA-48C3-875B-5987037D186F 2 0.0000 0.9631 0.000 1.000 0.000
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 1 0.0000 0.9662 1.000 0.000 0.000
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 2 0.0000 0.9631 0.000 1.000 0.000
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 2 0.0000 0.9631 0.000 1.000 0.000
#> DF67F589-A607-4B95-96B8-4BB344132312 2 0.0000 0.9631 0.000 1.000 0.000
#> A65233E6-C146-4ACF-8DDE-5FB12D8D9637 3 0.0000 0.9947 0.000 0.000 1.000
#> 7578C9A3-FFF8-45C4-AC28-1C6141A9A2AD 1 0.0000 0.9662 1.000 0.000 0.000
#> 4DF775B9-E2FE-4F5E-8329-C37E21C5D10E 2 0.5621 0.5380 0.308 0.692 0.000
#> 5E6B86C6-3D79-47BB-9FAF-CA22659CFEA7 1 0.0000 0.9662 1.000 0.000 0.000
#> 53286128-668B-47EA-9A5F-D768FDCCBE88 1 0.0000 0.9662 1.000 0.000 0.000
#> 01C9F351-97FE-4037-A879-9D96A3DD3FBB 2 0.0000 0.9631 0.000 1.000 0.000
#> 5487DB21-6A58-46AC-A2A1-E343082D41D8 1 0.0000 0.9662 1.000 0.000 0.000
#> 0FB3E997-4E31-4FA6-9654-11C3C0AF8D86 2 0.0000 0.9631 0.000 1.000 0.000
#> A0706E80-FDF9-4721-BEB4-90527F6D38C4 2 0.0000 0.9631 0.000 1.000 0.000
#> 5260226E-1826-4F54-8237-28993DD2EF04 3 0.0000 0.9947 0.000 0.000 1.000
#> F53F71A7-A399-49AB-8657-019C5C56F48C 2 0.0000 0.9631 0.000 1.000 0.000
#> 008159F2-5247-479A-8BFE-C394888D0B74 2 0.0000 0.9631 0.000 1.000 0.000
#> 9E6BA6FB-35F2-4510-94AE-3E7CDFED3D47 3 0.0000 0.9947 0.000 0.000 1.000
#> F12BE7AC-D2DD-4AD1-AB37-32DC85954F59 2 0.6274 0.1416 0.456 0.544 0.000
#> 38A6BA1F-B444-4155-A168-EC2DF0EE0785 1 0.0000 0.9662 1.000 0.000 0.000
#> B107D1DE-EE52-4E89-B75A-91124BFF99AE 3 0.0000 0.9947 0.000 0.000 1.000
#> D4D16D09-8895-4BEA-ABF7-F11C5D5BDCAA 1 0.0000 0.9662 1.000 0.000 0.000
#> 9A53C473-1364-4BB6-AD36-EF53E0208450 1 0.0000 0.9662 1.000 0.000 0.000
#> F00C0ED6-C811-4F32-BDB4-4ACA7861DC7D 2 0.0000 0.9631 0.000 1.000 0.000
#> 72618985-CD49-4B6F-8CB0-5EE590FAD09A 2 0.0000 0.9631 0.000 1.000 0.000
#> 978A315F-CCE9-4D03-A680-C0AD60B10557 2 0.0000 0.9631 0.000 1.000 0.000
#> B6EACAED-3944-4510-B685-0BB8D1651D4F 1 0.2261 0.8969 0.932 0.068 0.000
#> EBCF16B4-A804-45EB-8253-0F28A2645729 1 0.5098 0.6368 0.752 0.248 0.000
#> 637DC441-4A75-4DA8-8F65-91FDB5F103C7 2 0.5363 0.5874 0.276 0.724 0.000
#> 89F67654-A246-4307-9B17-4A1C01DB1AED 2 0.0000 0.9631 0.000 1.000 0.000
#> 3A8EB57B-71ED-4169-A8EB-624C67CDBBE1 2 0.0000 0.9631 0.000 1.000 0.000
#> CC4DA9C6-CAB2-44FF-8219-D293ECD07DD4 1 0.0000 0.9662 1.000 0.000 0.000
#> AEC4FDAA-8F60-43CE-8EBB-5629FA662F16 2 0.0000 0.9631 0.000 1.000 0.000
#> BFC0D795-64F4-48B3-AD08-8C564E5E5367 1 0.0000 0.9662 1.000 0.000 0.000
#> 907BBBA4-4E7B-4808-892E-F80525C3CFA3 2 0.1289 0.9292 0.032 0.968 0.000
#> 7F21FA19-1468-4A65-A10A-A9727218A5EF 1 0.0000 0.9662 1.000 0.000 0.000
#> 905A026A-0B13-4AD3-B2BB-9A5AE76920AF 2 0.0000 0.9631 0.000 1.000 0.000
#> 6DDFC760-7BED-4A68-8DDA-9453D0FC9C1D 1 0.0000 0.9662 1.000 0.000 0.000
#> B3AFF323-BAAD-4512-A837-20C430EA39D1 1 0.0000 0.9662 1.000 0.000 0.000
#> 193E9034-42A2-4701-AA3E-2E852CA5C043 1 0.0000 0.9662 1.000 0.000 0.000
#> 8B6127D5-D3BB-4E17-914C-3ED1E2A52078 2 0.0000 0.9631 0.000 1.000 0.000
#> BD6E5E3C-DC43-4A85-84DF-84C68ABB851A 2 0.0000 0.9631 0.000 1.000 0.000
#> 881EACBD-B314-4A9E-A6DE-58DF9466AFB3 2 0.1411 0.9243 0.036 0.964 0.000
#> 195A6DF6-437D-4964-8872-C44F13E2CA4C 2 0.0000 0.9631 0.000 1.000 0.000
#> C40FD0B3-4773-490D-A342-B1CE8CC0A5BD 1 0.0000 0.9662 1.000 0.000 0.000
#> 613454BF-1A66-4DBB-90D0-246FC212DA4A 1 0.0592 0.9549 0.988 0.012 0.000
#> 5F121320-0F61-4BC0-BB69-F5C9A93BC118 1 0.0000 0.9662 1.000 0.000 0.000
#> E5637874-962B-4C43-8339-A6625D754DA8 1 0.6180 0.3060 0.584 0.416 0.000
#> 7614BF19-E3A2-492A-ABC0-557B274CA326 1 0.0000 0.9662 1.000 0.000 0.000
#> 6EB070B1-45C3-46DB-BFF9-6D9A137EC3A8 2 0.4002 0.7629 0.160 0.840 0.000
#> 873EEA1A-8AA1-4C83-B001-7BD64343ADE1 1 0.0000 0.9662 1.000 0.000 0.000
#> 2DCF0812-AC29-4BC2-8929-4D3D7B0F6335 2 0.0000 0.9631 0.000 1.000 0.000
#> 9391B623-4EC1-43A2-85EC-7B80BE87827D 1 0.0000 0.9662 1.000 0.000 0.000
#> 32A000F1-BAEA-41D2-AC75-02255A5BF2F2 2 0.0000 0.9631 0.000 1.000 0.000
#> 9C1016CE-3EAB-4FA7-806B-C8F6B08B4EA1 1 0.2165 0.9012 0.936 0.064 0.000
#> C7C4E75E-887F-4D11-9FDC-32292895A6B3 2 0.0000 0.9631 0.000 1.000 0.000
#> 54739A62-512F-499F-AFE1-B7C631B35272 1 0.0000 0.9662 1.000 0.000 0.000
#> 4476DF0E-6BB4-4682-BF59-E61071D4184E 1 0.0000 0.9662 1.000 0.000 0.000
#> DCCC6566-8A72-411D-B8F0-CC92B6D973AF 2 0.0000 0.9631 0.000 1.000 0.000
#> 781AEC2C-2604-4DAA-A55C-D07A305AF32E 2 0.0000 0.9631 0.000 1.000 0.000
#> CB6BBA89-F467-4E0E-9DD1-04631E23D18C 1 0.5678 0.5377 0.684 0.316 0.000
#> 42E0E49F-0F6A-4787-87E8-E5CEA94822F9 2 0.0000 0.9631 0.000 1.000 0.000
#> B6466D8A-6CD3-4C90-B1FC-72EBDD93AE47 1 0.4605 0.7216 0.796 0.204 0.000
#> EEBC342F-80C7-428B-A69C-35962A8A0251 2 0.0000 0.9631 0.000 1.000 0.000
#> 38CB2DA4-D03B-4AAD-820E-B3475C52A945 2 0.0000 0.9631 0.000 1.000 0.000
#> E924E4B6-F88B-4F6B-B381-24D125C05D4F 3 0.0000 0.9947 0.000 0.000 1.000
#> C207F0D6-55B8-4353-8A7D-F1BA623BED96 1 0.0424 0.9587 0.992 0.008 0.000
#> 980CBBAE-2C02-4150-8BDB-B67713B6425C 3 0.0000 0.9947 0.000 0.000 1.000
#> 2E2A42A8-50A7-4409-8504-949A2B8A46A6 1 0.0000 0.9662 1.000 0.000 0.000
#> 65B6391B-3178-4AB3-9AA8-2FFAC5491988 2 0.4178 0.7731 0.000 0.828 0.172
#> 78EEB2C7-4B64-4CB0-9C94-E2AC46A75237 1 0.1529 0.9278 0.960 0.040 0.000
#> 4F05A349-3B06-425C-A8CC-63C1B23A3D65 1 0.0000 0.9662 1.000 0.000 0.000
#> 1CE1B4DB-1F7B-4F30-BAA1-E0252199F05B 2 0.0000 0.9631 0.000 1.000 0.000
#> 05FAAE20-A94E-41FA-B6B6-7DDCFB4F9657 1 0.0000 0.9662 1.000 0.000 0.000
#> 8C635DC8-6BED-46F6-893F-2AFB6CB3481A 1 0.0000 0.9662 1.000 0.000 0.000
#> 48410523-5F22-4531-97FA-7C796AD58989 1 0.0000 0.9662 1.000 0.000 0.000
#> B68D29BD-EDC7-4375-99F7-C5DAF72F3BA6 1 0.0000 0.9662 1.000 0.000 0.000
#> 417DC694-EA89-4AE0-94AC-88CA7E4BAA0B 1 0.0000 0.9662 1.000 0.000 0.000
#> 64CC8829-8B70-4B43-A364-4905139379E4 1 0.2356 0.8925 0.928 0.072 0.000
#> 9E7B3CD8-5195-4757-AC99-F96FDD02B6EC 1 0.5465 0.5943 0.712 0.288 0.000
#> 91E396AE-9215-405D-95DA-4F20D02CEB92 2 0.0000 0.9631 0.000 1.000 0.000
#> 94CD6202-9C20-48FF-952F-C085A9829FF1 1 0.0000 0.9662 1.000 0.000 0.000
#> E13AD861-BBD9-4189-8BB6-4B798BDFAA64 1 0.0000 0.9662 1.000 0.000 0.000
#> 6591AC48-9A57-4F9A-B25E-69E9257F4801 1 0.0000 0.9662 1.000 0.000 0.000
#> 1F0575EF-CFFA-4282-A054-88FDABBEB0CE 2 0.0000 0.9631 0.000 1.000 0.000
#> A2C99D8F-03AD-4E02-8FD2-50E8A8D64FA7 3 0.4931 0.6921 0.000 0.232 0.768
#> DD2C6204-0402-42E6-9DCF-C596B254684D 2 0.0000 0.9631 0.000 1.000 0.000
#> D54A1ABF-0E47-4D52-8CD6-25FF40735C48 1 0.0000 0.9662 1.000 0.000 0.000
#> 6E7F1C5E-83BE-4260-A4EB-2E8FB7B5AEDF 2 0.0000 0.9631 0.000 1.000 0.000
#> F931C145-86BF-4286-8017-A90943ABA1B6 2 0.0000 0.9631 0.000 1.000 0.000
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#> E5F03831-7077-4ABB-AB3F-7AEA2AAC529B 3 0.0000 0.9947 0.000 0.000 1.000
#> 4770600E-74BC-405F-B175-D337C0375285 2 0.0000 0.9631 0.000 1.000 0.000
#> 2FD60201-C797-4782-A1F7-45345E334B28 1 0.0000 0.9662 1.000 0.000 0.000
#> 371959B1-8D14-4FD1-A854-3DFB92D097FA 2 0.0000 0.9631 0.000 1.000 0.000
#> CD5AE438-D578-472E-B7B2-1DBD52D43233 2 0.0000 0.9631 0.000 1.000 0.000
#> 8DABCB90-2352-452A-8A71-4A359F50863B 1 0.0000 0.9662 1.000 0.000 0.000
#> 0A562D9C-52B2-4CE1-8173-4874835682E5 2 0.0000 0.9631 0.000 1.000 0.000
#> E3746081-2D1B-470B-A308-4B2E3A139C21 1 0.0000 0.9662 1.000 0.000 0.000
#> A7154064-ADD6-4D31-9622-8051F9A94BD2 2 0.0424 0.9548 0.008 0.992 0.000
#> D125BE69-EA3E-4E26-83B3-966C9B4E2E1D 1 0.0000 0.9662 1.000 0.000 0.000
#> D4A7D4B9-2E9D-4ED5-886F-664A212C9BE1 2 0.0000 0.9631 0.000 1.000 0.000
#> 1EFC6C80-2CBC-4F7F-9D95-D3259F22AED3 2 0.5706 0.5253 0.000 0.680 0.320
#> 9A0F8AF1-6845-474B-9897-F884E44DF78B 1 0.0000 0.9662 1.000 0.000 0.000
#> 5FFEF93E-3421-44BC-95BE-CA07D2343CD9 1 0.0000 0.9662 1.000 0.000 0.000
#> 706CD6CB-20D1-4B61-91CE-96468AFAB948 1 0.0000 0.9662 1.000 0.000 0.000
#> E75D87AF-DC22-4A00-8DAC-EDE1D242B3E5 2 0.0000 0.9631 0.000 1.000 0.000
#> B6428D53-EA3B-41A1-9092-3B47BF9F6089 1 0.0892 0.9471 0.980 0.020 0.000
#> 726D44D6-0732-44EA-B911-A5A1F0A758CF 1 0.0000 0.9662 1.000 0.000 0.000
#> E9FDE3D9-2845-4737-8957-BF36D7B39464 1 0.0000 0.9662 1.000 0.000 0.000
#> A70A345C-7683-4176-869B-8EDEFD966C1B 1 0.0000 0.9662 1.000 0.000 0.000
#> AB1C8455-7C2F-4154-95EF-B23EB5FD405A 3 0.0000 0.9947 0.000 0.000 1.000
#> 052F9CFB-8816-4A1D-B3C2-6A50168F7299 1 0.0000 0.9662 1.000 0.000 0.000
#> A821C6AB-91E5-4A72-8F3F-5D628FA351F0 3 0.0000 0.9947 0.000 0.000 1.000
#> 1D7F357E-0075-4AFA-BFCB-0297B90800F1 2 0.0000 0.9631 0.000 1.000 0.000
#> 5984264D-BD86-4D2F-8718-7DCAE974F50B 1 0.0747 0.9513 0.984 0.016 0.000
#> F24CC083-662D-457C-9BEC-3B68D63236AE 2 0.0000 0.9631 0.000 1.000 0.000
#> 48350BD7-9F6E-4DB5-B34A-F47B0BA74EF6 2 0.0000 0.9631 0.000 1.000 0.000
#> 94523D56-65BB-4860-9B7F-5859F5C82C05 3 0.0000 0.9947 0.000 0.000 1.000
#> CED33410-C7DE-43CC-941A-7652B200E5BB 2 0.0000 0.9631 0.000 1.000 0.000
#> 7E122E61-7895-4322-97BE-ABC29D7B7EA9 3 0.0000 0.9947 0.000 0.000 1.000
#> 60506411-6B29-49B4-9183-F54EE8B02CC4 1 0.0000 0.9662 1.000 0.000 0.000
#> ED52DF66-827A-4A8C-8E50-03C85FA04508 1 0.0000 0.9662 1.000 0.000 0.000
#> AB3B48ED-CFF9-4D66-BF3A-E9267D57BA14 2 0.0000 0.9631 0.000 1.000 0.000
#> 248A7931-1EB5-47E3-A966-E6AF62E21FC1 3 0.0000 0.9947 0.000 0.000 1.000
#> CB846F43-7719-4B7E-946B-32E6384F3CC4 2 0.5363 0.5902 0.276 0.724 0.000
#> 940E691A-04A2-410F-B1FB-A66A3BFE10E7 3 0.0000 0.9947 0.000 0.000 1.000
#> C3842EA2-E3BC-48DE-9B59-92145AC2F716 3 0.0000 0.9947 0.000 0.000 1.000
#> 497FB1B2-A998-44F3-8D69-6974314F941D 2 0.0000 0.9631 0.000 1.000 0.000
#> 4BAA88D6-4A88-4D54-9B0E-83365CC85C39 1 0.0000 0.9662 1.000 0.000 0.000
#> 7480A3B3-3BF8-4123-8E2E-8C2B52688EC6 2 0.0000 0.9631 0.000 1.000 0.000
#> AE3211D1-65C0-46B1-A67F-741C21A7D1C4 2 0.0000 0.9631 0.000 1.000 0.000
#> D7244456-CB99-4893-85FE-65082CC4F17C 2 0.0000 0.9631 0.000 1.000 0.000
#> C4E0F193-49DC-4A49-84BB-337AAF277145 1 0.0000 0.9662 1.000 0.000 0.000
#> E2DF7E97-6BE1-412C-B71D-151B87739653 2 0.0000 0.9631 0.000 1.000 0.000
#> 022BCEE2-4794-4D5D-87E5-22CD25FDBA98 2 0.0000 0.9631 0.000 1.000 0.000
#> 2AF33CEA-C327-4A31-84D8-C4F26E8A3ECF 1 0.0000 0.9662 1.000 0.000 0.000
#> E877B9C0-11C5-4CC8-BAE1-AC210535F3DB 1 0.3619 0.8137 0.864 0.136 0.000
#> 0E737E9F-1045-4B86-A290-ED927D5DE7BF 2 0.0000 0.9631 0.000 1.000 0.000
#> D1B88E26-3B64-4E1A-8E50-22AD100BD9F9 2 0.0000 0.9631 0.000 1.000 0.000
#> 3AEB8943-FE34-4014-B851-BBF83857A794 2 0.0000 0.9631 0.000 1.000 0.000
#> BECD727E-E3C1-4C42-9047-D97B7444B20B 2 0.0000 0.9631 0.000 1.000 0.000
#> AF866E63-9EA1-4669-B9C4-FC7E877334AE 2 0.0000 0.9631 0.000 1.000 0.000
#> F9C8E54A-4CE4-4839-B0CA-58678461EEF1 2 0.0000 0.9631 0.000 1.000 0.000
#> AE818BC4-05BF-4E85-A4AD-F3E43DD7D37A 2 0.0000 0.9631 0.000 1.000 0.000
#> BA73A860-CADE-408D-8D27-14EADA2B53B0 1 0.0000 0.9662 1.000 0.000 0.000
#> 688858C8-48CA-43E9-AE2C-B9D4F80B5EE9 2 0.0000 0.9631 0.000 1.000 0.000
#> EB1D52B2-17B3-491E-B484-1235633D6925 2 0.0000 0.9631 0.000 1.000 0.000
#> AE261B5D-3881-40B9-8EE7-26B950E0BE16 1 0.0000 0.9662 1.000 0.000 0.000
#> 8C9851D5-3091-4DE0-A59E-9122C0CA1CD2 2 0.0000 0.9631 0.000 1.000 0.000
#> C8180F95-4E9C-45DB-B959-B47F64167C2D 2 0.6305 0.0445 0.484 0.516 0.000
#> 552D3B42-8D22-4B64-B3A2-B3E5D51A8524 2 0.0000 0.9631 0.000 1.000 0.000
#> FED9F364-BC3F-4134-BF4B-4D24B0EB8315 1 0.0000 0.9662 1.000 0.000 0.000
#> 7B0D7792-C803-4DD0-B9BF-CB83DA2D199A 1 0.0000 0.9662 1.000 0.000 0.000
#> B4F82CBB-A47C-44C3-81AC-CF775FF06FCD 1 0.0000 0.9662 1.000 0.000 0.000
#> BFAB10CF-5B24-40F7-92E7-C2E60DD779EF 1 0.0000 0.9662 1.000 0.000 0.000
#> E4E259E1-48B2-4C76-B113-E46270742F53 2 0.0000 0.9631 0.000 1.000 0.000
#> 81FCBC31-367A-4B1C-A832-B133E4A43738 1 0.6274 0.1784 0.544 0.456 0.000
#> 8690FA0F-9C1C-4D97-813A-3FB56827FBFC 2 0.0000 0.9631 0.000 1.000 0.000
#> 9810CF0C-99D1-445B-B1F9-C956D2438495 3 0.0237 0.9909 0.000 0.004 0.996
#> 2F5073E1-9EDD-46B5-95E3-8314E2A5B620 1 0.1753 0.9178 0.952 0.048 0.000
#> B454F9FB-439A-43B5-877D-752D0F138AB5 2 0.0000 0.9631 0.000 1.000 0.000
#> 287F2B71-92F8-4D14-8249-C1BFBB254BE7 1 0.0000 0.9662 1.000 0.000 0.000
#> 52DC920F-0AD5-47CE-BD81-31843876B71E 1 0.0000 0.9662 1.000 0.000 0.000
#> 6BAC4B1B-C3FC-4A09-9821-232E510E6A47 1 0.0000 0.9662 1.000 0.000 0.000
#> A2B87EED-0D8E-4B20-85D3-FD9CC5E2E806 1 0.0000 0.9662 1.000 0.000 0.000
#> 43E6DB93-2DA6-4F0F-BF81-0C3869134D2B 1 0.0000 0.9662 1.000 0.000 0.000
#> 09A2ED74-A7C7-4DBB-8EDD-C80D0F0AEFDF 1 0.0000 0.9662 1.000 0.000 0.000
#> 35EDCB52-D4B5-4305-8A74-95EFE6F2BFB1 1 0.0000 0.9662 1.000 0.000 0.000
#> D5D18AF8-9CC2-496C-A83A-31BBA0195CFD 1 0.0000 0.9662 1.000 0.000 0.000
#> 03767EDF-2F8A-41DE-8D80-F4BE861225A3 2 0.2625 0.8658 0.084 0.916 0.000
#> 586BC656-AD9C-44EF-9ED4-87DEEB5C8AA6 1 0.0000 0.9662 1.000 0.000 0.000
#> 23CA1146-CB1B-4054-A4FF-200B87444BF9 1 0.0000 0.9662 1.000 0.000 0.000
#> 910E9B6D-E7D5-4C83-A19C-1EEA6E135639 1 0.6192 0.2912 0.580 0.420 0.000
#> F36353A3-6CE6-4347-A78B-0AAD8FAB14AD 1 0.0000 0.9662 1.000 0.000 0.000
#> 2045736E-7D0F-4B17-B74B-3B12AEE3E68C 1 0.0000 0.9662 1.000 0.000 0.000
#> 5EFA2C2D-30B3-4D66-9601-354711F9FC56 3 0.0000 0.9947 0.000 0.000 1.000
#> 3FBD381D-84C8-4680-980B-CC4B7924BE06 2 0.0000 0.9631 0.000 1.000 0.000
#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 1 0.6286 0.1528 0.536 0.464 0.000
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 1 0.0000 0.9662 1.000 0.000 0.000
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 2 0.0000 0.9631 0.000 1.000 0.000
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 2 0.0237 0.9597 0.000 0.996 0.004
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 1 0.0000 0.9662 1.000 0.000 0.000
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 2 0.0000 0.9631 0.000 1.000 0.000
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 2 0.0000 0.9631 0.000 1.000 0.000
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 1 0.0000 0.9662 1.000 0.000 0.000
#> A3343F40-F977-4F9B-856A-28781F10F4CD 2 0.0000 0.9631 0.000 1.000 0.000
#> DA144299-5541-47D7-A59E-C92896DF08FC 1 0.0000 0.9662 1.000 0.000 0.000
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 2 0.0000 0.9631 0.000 1.000 0.000
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.0000 0.9662 1.000 0.000 0.000
#> 617447CF-9327-4062-B22C-71A8944C948F 2 0.0000 0.9631 0.000 1.000 0.000
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0000 0.9662 1.000 0.000 0.000
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 2 0.0000 0.9631 0.000 1.000 0.000
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.0000 0.9662 1.000 0.000 0.000
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.0000 0.9631 0.000 1.000 0.000
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.0000 0.9662 1.000 0.000 0.000
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 3 0.0000 0.9947 0.000 0.000 1.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 2 0.0000 0.9631 0.000 1.000 0.000
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 2 0.6204 0.2714 0.000 0.576 0.424
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.0000 0.9662 1.000 0.000 0.000
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 2 0.6267 0.1553 0.452 0.548 0.000
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.0000 0.9631 0.000 1.000 0.000
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 1 0.0000 0.9662 1.000 0.000 0.000
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.0000 0.9662 1.000 0.000 0.000
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 2 0.1643 0.9229 0.000 0.956 0.044
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 2 0.2165 0.9026 0.000 0.936 0.064
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 1 0.0000 0.9662 1.000 0.000 0.000
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 2 0.2625 0.8667 0.084 0.916 0.000
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.0000 0.9662 1.000 0.000 0.000
#> DA1301D3-1F84-46C5-AB44-079493A81A51 1 0.0000 0.9662 1.000 0.000 0.000
#> A12B1681-B598-40C3-80FE-1801F3F1189D 1 0.0000 0.9662 1.000 0.000 0.000
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 2 0.0000 0.9631 0.000 1.000 0.000
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 1 0.4702 0.7068 0.788 0.212 0.000
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.0000 0.9631 0.000 1.000 0.000
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.0000 0.9631 0.000 1.000 0.000
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 1 0.0000 0.9662 1.000 0.000 0.000
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.0000 0.9631 0.000 1.000 0.000
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.0000 0.9631 0.000 1.000 0.000
#> 1D0379B1-0E99-4E6D-B890-907C92860654 2 0.0000 0.9631 0.000 1.000 0.000
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.0000 0.9631 0.000 1.000 0.000
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 2 0.0000 0.9631 0.000 1.000 0.000
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 2 0.0000 0.9631 0.000 1.000 0.000
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0000 0.9662 1.000 0.000 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.0000 0.9631 0.000 1.000 0.000
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.0000 0.9662 1.000 0.000 0.000
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.0000 0.9631 0.000 1.000 0.000
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0000 0.9662 1.000 0.000 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.0000 0.9631 0.000 1.000 0.000
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 1 0.3752 0.8019 0.856 0.144 0.000
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.0000 0.9631 0.000 1.000 0.000
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.0000 0.9662 1.000 0.000 0.000
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.0000 0.9631 0.000 1.000 0.000
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.9662 1.000 0.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.9662 1.000 0.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.0000 0.9631 0.000 1.000 0.000
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.4399 0.7432 0.812 0.188 0.000
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.0000 0.9631 0.000 1.000 0.000
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.9947 0.000 0.000 1.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 2 0.0000 0.9631 0.000 1.000 0.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.0000 0.9947 0.000 0.000 1.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 1 0.0000 0.9662 1.000 0.000 0.000
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.0000 0.9631 0.000 1.000 0.000
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.0000 0.9631 0.000 1.000 0.000
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.0000 0.9631 0.000 1.000 0.000
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.0000 0.9631 0.000 1.000 0.000
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.9662 1.000 0.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.9662 1.000 0.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.0000 0.9662 1.000 0.000 0.000
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0000 0.9662 1.000 0.000 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.0000 0.9631 0.000 1.000 0.000
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.0000 0.9631 0.000 1.000 0.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0000 0.9662 1.000 0.000 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.0000 0.9631 0.000 1.000 0.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.0000 0.9662 1.000 0.000 0.000
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.0000 0.9662 1.000 0.000 0.000
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.9947 0.000 0.000 1.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.0000 0.9662 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.8855 1.000 0.000 0.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.9918 0.000 0.000 1.000 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 4 0.2011 0.7867 0.080 0.000 0.000 0.920
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.3726 0.7378 0.788 0.000 0.000 0.212
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.4830 0.4617 0.608 0.000 0.000 0.392
#> 1B76089D-785F-4353-A898-4E632023D482 4 0.4877 0.3900 0.408 0.000 0.000 0.592
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 4 0.3333 0.7701 0.088 0.040 0.000 0.872
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#> 371959B1-8D14-4FD1-A854-3DFB92D097FA 2 0.1302 0.9373 0.000 0.956 0.000 0.044
#> CD5AE438-D578-472E-B7B2-1DBD52D43233 2 0.0000 0.9515 0.000 1.000 0.000 0.000
#> 8DABCB90-2352-452A-8A71-4A359F50863B 1 0.3726 0.7619 0.788 0.000 0.000 0.212
#> 0A562D9C-52B2-4CE1-8173-4874835682E5 2 0.0188 0.9508 0.000 0.996 0.000 0.004
#> E3746081-2D1B-470B-A308-4B2E3A139C21 4 0.1792 0.7897 0.068 0.000 0.000 0.932
#> A7154064-ADD6-4D31-9622-8051F9A94BD2 4 0.4103 0.6277 0.000 0.256 0.000 0.744
#> D125BE69-EA3E-4E26-83B3-966C9B4E2E1D 1 0.0000 0.8855 1.000 0.000 0.000 0.000
#> D4A7D4B9-2E9D-4ED5-886F-664A212C9BE1 2 0.0000 0.9515 0.000 1.000 0.000 0.000
#> 1EFC6C80-2CBC-4F7F-9D95-D3259F22AED3 4 0.5407 0.6796 0.000 0.152 0.108 0.740
#> 9A0F8AF1-6845-474B-9897-F884E44DF78B 1 0.0000 0.8855 1.000 0.000 0.000 0.000
#> 5FFEF93E-3421-44BC-95BE-CA07D2343CD9 1 0.0000 0.8855 1.000 0.000 0.000 0.000
#> 706CD6CB-20D1-4B61-91CE-96468AFAB948 4 0.1867 0.7876 0.072 0.000 0.000 0.928
#> E75D87AF-DC22-4A00-8DAC-EDE1D242B3E5 4 0.4134 0.6310 0.000 0.260 0.000 0.740
#> B6428D53-EA3B-41A1-9092-3B47BF9F6089 4 0.1716 0.7915 0.064 0.000 0.000 0.936
#> 726D44D6-0732-44EA-B911-A5A1F0A758CF 4 0.1474 0.7907 0.052 0.000 0.000 0.948
#> E9FDE3D9-2845-4737-8957-BF36D7B39464 4 0.3649 0.7466 0.204 0.000 0.000 0.796
#> A70A345C-7683-4176-869B-8EDEFD966C1B 1 0.0000 0.8855 1.000 0.000 0.000 0.000
#> AB1C8455-7C2F-4154-95EF-B23EB5FD405A 3 0.0188 0.9875 0.000 0.000 0.996 0.004
#> 052F9CFB-8816-4A1D-B3C2-6A50168F7299 1 0.0000 0.8855 1.000 0.000 0.000 0.000
#> A821C6AB-91E5-4A72-8F3F-5D628FA351F0 3 0.0000 0.9918 0.000 0.000 1.000 0.000
#> 1D7F357E-0075-4AFA-BFCB-0297B90800F1 2 0.0000 0.9515 0.000 1.000 0.000 0.000
#> 5984264D-BD86-4D2F-8718-7DCAE974F50B 4 0.2530 0.7696 0.112 0.000 0.000 0.888
#> F24CC083-662D-457C-9BEC-3B68D63236AE 2 0.1792 0.9255 0.000 0.932 0.000 0.068
#> 48350BD7-9F6E-4DB5-B34A-F47B0BA74EF6 2 0.1118 0.9292 0.000 0.964 0.000 0.036
#> 94523D56-65BB-4860-9B7F-5859F5C82C05 3 0.0000 0.9918 0.000 0.000 1.000 0.000
#> CED33410-C7DE-43CC-941A-7652B200E5BB 2 0.0000 0.9515 0.000 1.000 0.000 0.000
#> 7E122E61-7895-4322-97BE-ABC29D7B7EA9 3 0.0000 0.9918 0.000 0.000 1.000 0.000
#> 60506411-6B29-49B4-9183-F54EE8B02CC4 4 0.1792 0.7886 0.068 0.000 0.000 0.932
#> ED52DF66-827A-4A8C-8E50-03C85FA04508 1 0.4134 0.6595 0.740 0.000 0.000 0.260
#> AB3B48ED-CFF9-4D66-BF3A-E9267D57BA14 2 0.0000 0.9515 0.000 1.000 0.000 0.000
#> 248A7931-1EB5-47E3-A966-E6AF62E21FC1 3 0.0000 0.9918 0.000 0.000 1.000 0.000
#> CB846F43-7719-4B7E-946B-32E6384F3CC4 4 0.2048 0.7905 0.064 0.008 0.000 0.928
#> 940E691A-04A2-410F-B1FB-A66A3BFE10E7 3 0.0000 0.9918 0.000 0.000 1.000 0.000
#> C3842EA2-E3BC-48DE-9B59-92145AC2F716 3 0.0000 0.9918 0.000 0.000 1.000 0.000
#> 497FB1B2-A998-44F3-8D69-6974314F941D 2 0.2611 0.8987 0.008 0.896 0.000 0.096
#> 4BAA88D6-4A88-4D54-9B0E-83365CC85C39 4 0.2011 0.7867 0.080 0.000 0.000 0.920
#> 7480A3B3-3BF8-4123-8E2E-8C2B52688EC6 2 0.0000 0.9515 0.000 1.000 0.000 0.000
#> AE3211D1-65C0-46B1-A67F-741C21A7D1C4 2 0.0336 0.9500 0.000 0.992 0.000 0.008
#> D7244456-CB99-4893-85FE-65082CC4F17C 2 0.1211 0.9403 0.000 0.960 0.000 0.040
#> C4E0F193-49DC-4A49-84BB-337AAF277145 1 0.4008 0.7263 0.756 0.000 0.000 0.244
#> E2DF7E97-6BE1-412C-B71D-151B87739653 2 0.1302 0.9384 0.000 0.956 0.000 0.044
#> 022BCEE2-4794-4D5D-87E5-22CD25FDBA98 2 0.0000 0.9515 0.000 1.000 0.000 0.000
#> 2AF33CEA-C327-4A31-84D8-C4F26E8A3ECF 1 0.4981 0.1530 0.536 0.000 0.000 0.464
#> E877B9C0-11C5-4CC8-BAE1-AC210535F3DB 4 0.3581 0.7644 0.116 0.032 0.000 0.852
#> 0E737E9F-1045-4B86-A290-ED927D5DE7BF 2 0.0000 0.9515 0.000 1.000 0.000 0.000
#> D1B88E26-3B64-4E1A-8E50-22AD100BD9F9 2 0.1474 0.9345 0.000 0.948 0.000 0.052
#> 3AEB8943-FE34-4014-B851-BBF83857A794 2 0.3444 0.8015 0.000 0.816 0.000 0.184
#> BECD727E-E3C1-4C42-9047-D97B7444B20B 2 0.1474 0.9345 0.000 0.948 0.000 0.052
#> AF866E63-9EA1-4669-B9C4-FC7E877334AE 2 0.0000 0.9515 0.000 1.000 0.000 0.000
#> F9C8E54A-4CE4-4839-B0CA-58678461EEF1 2 0.0000 0.9515 0.000 1.000 0.000 0.000
#> AE818BC4-05BF-4E85-A4AD-F3E43DD7D37A 2 0.0000 0.9515 0.000 1.000 0.000 0.000
#> BA73A860-CADE-408D-8D27-14EADA2B53B0 1 0.3764 0.7222 0.784 0.000 0.000 0.216
#> 688858C8-48CA-43E9-AE2C-B9D4F80B5EE9 2 0.0336 0.9500 0.000 0.992 0.000 0.008
#> EB1D52B2-17B3-491E-B484-1235633D6925 2 0.0188 0.9509 0.000 0.996 0.000 0.004
#> AE261B5D-3881-40B9-8EE7-26B950E0BE16 4 0.4164 0.6278 0.264 0.000 0.000 0.736
#> 8C9851D5-3091-4DE0-A59E-9122C0CA1CD2 2 0.1302 0.9384 0.000 0.956 0.000 0.044
#> C8180F95-4E9C-45DB-B959-B47F64167C2D 2 0.7799 -0.1874 0.248 0.384 0.000 0.368
#> 552D3B42-8D22-4B64-B3A2-B3E5D51A8524 2 0.0000 0.9515 0.000 1.000 0.000 0.000
#> FED9F364-BC3F-4134-BF4B-4D24B0EB8315 4 0.4040 0.6378 0.248 0.000 0.000 0.752
#> 7B0D7792-C803-4DD0-B9BF-CB83DA2D199A 1 0.0469 0.8832 0.988 0.000 0.000 0.012
#> B4F82CBB-A47C-44C3-81AC-CF775FF06FCD 1 0.0188 0.8848 0.996 0.000 0.000 0.004
#> BFAB10CF-5B24-40F7-92E7-C2E60DD779EF 4 0.3356 0.7453 0.176 0.000 0.000 0.824
#> E4E259E1-48B2-4C76-B113-E46270742F53 2 0.0000 0.9515 0.000 1.000 0.000 0.000
#> 81FCBC31-367A-4B1C-A832-B133E4A43738 4 0.0707 0.7867 0.000 0.020 0.000 0.980
#> 8690FA0F-9C1C-4D97-813A-3FB56827FBFC 2 0.0707 0.9473 0.000 0.980 0.000 0.020
#> 9810CF0C-99D1-445B-B1F9-C956D2438495 3 0.0469 0.9786 0.000 0.012 0.988 0.000
#> 2F5073E1-9EDD-46B5-95E3-8314E2A5B620 4 0.1557 0.7915 0.056 0.000 0.000 0.944
#> B454F9FB-439A-43B5-877D-752D0F138AB5 2 0.0000 0.9515 0.000 1.000 0.000 0.000
#> 287F2B71-92F8-4D14-8249-C1BFBB254BE7 1 0.0336 0.8819 0.992 0.000 0.000 0.008
#> 52DC920F-0AD5-47CE-BD81-31843876B71E 1 0.0000 0.8855 1.000 0.000 0.000 0.000
#> 6BAC4B1B-C3FC-4A09-9821-232E510E6A47 1 0.4072 0.6927 0.748 0.000 0.000 0.252
#> A2B87EED-0D8E-4B20-85D3-FD9CC5E2E806 1 0.0000 0.8855 1.000 0.000 0.000 0.000
#> 43E6DB93-2DA6-4F0F-BF81-0C3869134D2B 1 0.0000 0.8855 1.000 0.000 0.000 0.000
#> 09A2ED74-A7C7-4DBB-8EDD-C80D0F0AEFDF 1 0.2408 0.8392 0.896 0.000 0.000 0.104
#> 35EDCB52-D4B5-4305-8A74-95EFE6F2BFB1 4 0.3801 0.7063 0.220 0.000 0.000 0.780
#> D5D18AF8-9CC2-496C-A83A-31BBA0195CFD 4 0.0707 0.7892 0.020 0.000 0.000 0.980
#> 03767EDF-2F8A-41DE-8D80-F4BE861225A3 4 0.1940 0.7808 0.000 0.076 0.000 0.924
#> 586BC656-AD9C-44EF-9ED4-87DEEB5C8AA6 1 0.4981 -0.1701 0.536 0.000 0.000 0.464
#> 23CA1146-CB1B-4054-A4FF-200B87444BF9 1 0.0000 0.8855 1.000 0.000 0.000 0.000
#> 910E9B6D-E7D5-4C83-A19C-1EEA6E135639 4 0.1913 0.7868 0.040 0.020 0.000 0.940
#> F36353A3-6CE6-4347-A78B-0AAD8FAB14AD 1 0.0000 0.8855 1.000 0.000 0.000 0.000
#> 2045736E-7D0F-4B17-B74B-3B12AEE3E68C 1 0.0000 0.8855 1.000 0.000 0.000 0.000
#> 5EFA2C2D-30B3-4D66-9601-354711F9FC56 3 0.0000 0.9918 0.000 0.000 1.000 0.000
#> 3FBD381D-84C8-4680-980B-CC4B7924BE06 2 0.0000 0.9515 0.000 1.000 0.000 0.000
#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 4 0.2676 0.7550 0.012 0.092 0.000 0.896
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 1 0.4134 0.7120 0.740 0.000 0.000 0.260
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 2 0.0336 0.9500 0.000 0.992 0.000 0.008
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 2 0.0000 0.9515 0.000 1.000 0.000 0.000
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 4 0.1867 0.7876 0.072 0.000 0.000 0.928
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 2 0.0000 0.9515 0.000 1.000 0.000 0.000
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 2 0.1867 0.9223 0.000 0.928 0.000 0.072
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 4 0.1557 0.7932 0.056 0.000 0.000 0.944
#> A3343F40-F977-4F9B-856A-28781F10F4CD 2 0.0000 0.9515 0.000 1.000 0.000 0.000
#> DA144299-5541-47D7-A59E-C92896DF08FC 1 0.4250 0.6989 0.724 0.000 0.000 0.276
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 2 0.0000 0.9515 0.000 1.000 0.000 0.000
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.0000 0.8855 1.000 0.000 0.000 0.000
#> 617447CF-9327-4062-B22C-71A8944C948F 2 0.1302 0.9384 0.000 0.956 0.000 0.044
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0000 0.8855 1.000 0.000 0.000 0.000
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 2 0.1302 0.9384 0.000 0.956 0.000 0.044
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 4 0.4134 0.6340 0.260 0.000 0.000 0.740
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.0000 0.9515 0.000 1.000 0.000 0.000
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.2408 0.8390 0.896 0.000 0.000 0.104
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 3 0.0000 0.9918 0.000 0.000 1.000 0.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 2 0.0469 0.9494 0.000 0.988 0.000 0.012
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 2 0.4925 0.2856 0.000 0.572 0.428 0.000
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 4 0.4356 0.6040 0.292 0.000 0.000 0.708
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 4 0.1474 0.7844 0.000 0.052 0.000 0.948
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.0000 0.9515 0.000 1.000 0.000 0.000
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 4 0.4713 0.4796 0.360 0.000 0.000 0.640
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.0000 0.8855 1.000 0.000 0.000 0.000
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 2 0.1211 0.9273 0.000 0.960 0.040 0.000
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 2 0.1474 0.9182 0.000 0.948 0.052 0.000
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 1 0.4713 0.5395 0.640 0.000 0.000 0.360
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 4 0.2101 0.7875 0.012 0.060 0.000 0.928
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.0000 0.8855 1.000 0.000 0.000 0.000
#> DA1301D3-1F84-46C5-AB44-079493A81A51 4 0.3356 0.7292 0.176 0.000 0.000 0.824
#> A12B1681-B598-40C3-80FE-1801F3F1189D 4 0.3444 0.7369 0.184 0.000 0.000 0.816
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 2 0.3266 0.8174 0.000 0.832 0.000 0.168
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 4 0.3142 0.7594 0.132 0.008 0.000 0.860
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.0000 0.9515 0.000 1.000 0.000 0.000
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.3074 0.8087 0.000 0.848 0.000 0.152
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 4 0.2469 0.7764 0.108 0.000 0.000 0.892
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.1302 0.9384 0.000 0.956 0.000 0.044
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.0000 0.9515 0.000 1.000 0.000 0.000
#> 1D0379B1-0E99-4E6D-B890-907C92860654 4 0.4008 0.6561 0.000 0.244 0.000 0.756
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.1118 0.9414 0.000 0.964 0.000 0.036
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 2 0.2081 0.9143 0.000 0.916 0.000 0.084
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 2 0.1474 0.9345 0.000 0.948 0.000 0.052
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0000 0.8855 1.000 0.000 0.000 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.1302 0.9384 0.000 0.956 0.000 0.044
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.3801 0.7511 0.780 0.000 0.000 0.220
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.1389 0.9366 0.000 0.952 0.000 0.048
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.1637 0.8650 0.940 0.000 0.000 0.060
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.0336 0.9500 0.000 0.992 0.000 0.008
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 4 0.2011 0.7873 0.080 0.000 0.000 0.920
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.0000 0.9515 0.000 1.000 0.000 0.000
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.1118 0.8772 0.964 0.000 0.000 0.036
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.0000 0.9515 0.000 1.000 0.000 0.000
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.8855 1.000 0.000 0.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.8855 1.000 0.000 0.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.1302 0.9384 0.000 0.956 0.000 0.044
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 4 0.1406 0.7917 0.016 0.024 0.000 0.960
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.1474 0.9345 0.000 0.948 0.000 0.052
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.9918 0.000 0.000 1.000 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 2 0.0000 0.9515 0.000 1.000 0.000 0.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.0000 0.9918 0.000 0.000 1.000 0.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 1 0.4855 0.3769 0.600 0.000 0.000 0.400
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.0707 0.9415 0.000 0.980 0.000 0.020
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.0592 0.9484 0.000 0.984 0.000 0.016
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.0000 0.9515 0.000 1.000 0.000 0.000
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.1022 0.9436 0.000 0.968 0.000 0.032
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.8855 1.000 0.000 0.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.8855 1.000 0.000 0.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.2408 0.8390 0.896 0.000 0.000 0.104
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0000 0.8855 1.000 0.000 0.000 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.0000 0.9515 0.000 1.000 0.000 0.000
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.0000 0.9515 0.000 1.000 0.000 0.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 4 0.5000 0.2879 0.496 0.000 0.000 0.504
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.0000 0.9515 0.000 1.000 0.000 0.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.1792 0.8638 0.932 0.000 0.000 0.068
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.3764 0.7529 0.784 0.000 0.000 0.216
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.9918 0.000 0.000 1.000 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.4008 0.7081 0.756 0.000 0.000 0.244
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 8.41e-01 1.000 0.000 0.000 0.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 9.86e-01 0.000 0.000 1.000 0.000 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 5 0.0290 7.56e-01 0.008 0.000 0.000 0.000 0.992
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.3837 4.58e-01 0.692 0.000 0.000 0.000 0.308
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 5 0.3143 6.63e-01 0.204 0.000 0.000 0.000 0.796
#> 1B76089D-785F-4353-A898-4E632023D482 5 0.3586 6.22e-01 0.264 0.000 0.000 0.000 0.736
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 4 0.0000 8.00e-01 0.000 0.000 0.000 1.000 0.000
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 2 0.6108 2.92e-01 0.000 0.508 0.000 0.136 0.356
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 5 0.3242 6.30e-01 0.216 0.000 0.000 0.000 0.784
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 5 0.5060 6.13e-01 0.104 0.000 0.000 0.204 0.692
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 5 0.1800 7.48e-01 0.020 0.000 0.000 0.048 0.932
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 2 0.0794 8.96e-01 0.000 0.972 0.000 0.000 0.028
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 8.41e-01 1.000 0.000 0.000 0.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 2 0.1792 8.49e-01 0.000 0.916 0.084 0.000 0.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 1 0.6021 3.43e-05 0.476 0.000 0.000 0.116 0.408
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 4 0.3143 7.93e-01 0.000 0.204 0.000 0.796 0.000
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.3177 6.48e-01 0.792 0.000 0.000 0.000 0.208
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 8.41e-01 1.000 0.000 0.000 0.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 5 0.0000 7.56e-01 0.000 0.000 0.000 0.000 1.000
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0000 8.41e-01 1.000 0.000 0.000 0.000 0.000
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 5 0.3480 4.83e-01 0.000 0.000 0.000 0.248 0.752
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.3210 6.83e-01 0.000 0.788 0.000 0.212 0.000
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 4 0.0000 8.00e-01 0.000 0.000 0.000 1.000 0.000
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.2280 7.46e-01 0.880 0.000 0.000 0.000 0.120
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 5 0.3885 5.11e-01 0.000 0.268 0.000 0.008 0.724
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 5 0.0290 7.57e-01 0.008 0.000 0.000 0.000 0.992
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.0000 9.12e-01 0.000 1.000 0.000 0.000 0.000
#> 375FE390-434B-41D3-9029-84065B1D7B6F 2 0.1410 8.87e-01 0.000 0.940 0.000 0.060 0.000
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 8.41e-01 1.000 0.000 0.000 0.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.0000 9.12e-01 0.000 1.000 0.000 0.000 0.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.0000 9.12e-01 0.000 1.000 0.000 0.000 0.000
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.0000 9.12e-01 0.000 1.000 0.000 0.000 0.000
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.0000 9.12e-01 0.000 1.000 0.000 0.000 0.000
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.2471 7.44e-01 0.864 0.000 0.000 0.000 0.136
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 2 0.0162 9.11e-01 0.000 0.996 0.000 0.004 0.000
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 2 0.2464 8.50e-01 0.000 0.888 0.000 0.096 0.016
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 5 0.4306 1.19e-01 0.492 0.000 0.000 0.000 0.508
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0000 9.86e-01 0.000 0.000 1.000 0.000 0.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 5 0.4256 2.91e-01 0.436 0.000 0.000 0.000 0.564
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.0000 9.86e-01 0.000 0.000 1.000 0.000 0.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 4 0.0000 8.00e-01 0.000 0.000 0.000 1.000 0.000
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.0000 9.86e-01 0.000 0.000 1.000 0.000 0.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.0000 9.86e-01 0.000 0.000 1.000 0.000 0.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 1 0.3966 4.13e-01 0.664 0.000 0.000 0.000 0.336
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 5 0.6485 2.23e-01 0.196 0.000 0.000 0.344 0.460
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.0000 8.41e-01 1.000 0.000 0.000 0.000 0.000
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 4 0.2966 8.08e-01 0.000 0.184 0.000 0.816 0.000
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 5 0.0162 7.56e-01 0.004 0.000 0.000 0.000 0.996
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.2424 7.42e-01 0.868 0.000 0.000 0.000 0.132
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 2 0.6112 2.96e-01 0.000 0.516 0.000 0.140 0.344
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.1732 8.72e-01 0.000 0.920 0.000 0.080 0.000
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 4 0.4171 2.43e-01 0.396 0.000 0.000 0.604 0.000
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.0000 9.86e-01 0.000 0.000 1.000 0.000 0.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.2230 7.60e-01 0.884 0.000 0.000 0.000 0.116
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 2 0.0290 9.08e-01 0.000 0.992 0.000 0.000 0.008
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 4 0.1043 8.18e-01 0.000 0.040 0.000 0.960 0.000
#> 208165C0-229B-49E2-A22A-575CA3157C9E 4 0.6786 3.77e-01 0.000 0.292 0.000 0.384 0.324
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 1 0.4498 5.15e-01 0.688 0.000 0.000 0.032 0.280
#> 01397021-8495-4D89-885A-166B4DBA0122 3 0.0000 9.86e-01 0.000 0.000 1.000 0.000 0.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 3 0.0000 9.86e-01 0.000 0.000 1.000 0.000 0.000
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.0000 8.41e-01 1.000 0.000 0.000 0.000 0.000
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 4 0.2516 8.12e-01 0.000 0.140 0.000 0.860 0.000
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 2 0.0000 9.12e-01 0.000 1.000 0.000 0.000 0.000
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 2 0.1357 8.92e-01 0.000 0.948 0.004 0.048 0.000
#> AA569A06-0F37-4492-93F3-60A4539A3E82 2 0.1608 8.77e-01 0.000 0.928 0.000 0.072 0.000
#> BC53FB75-94CA-48C3-875B-5987037D186F 2 0.0000 9.12e-01 0.000 1.000 0.000 0.000 0.000
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 1 0.3949 4.57e-01 0.668 0.000 0.000 0.000 0.332
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 2 0.0000 9.12e-01 0.000 1.000 0.000 0.000 0.000
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 2 0.1197 8.92e-01 0.000 0.952 0.000 0.048 0.000
#> DF67F589-A607-4B95-96B8-4BB344132312 2 0.2690 8.07e-01 0.000 0.844 0.000 0.156 0.000
#> A65233E6-C146-4ACF-8DDE-5FB12D8D9637 3 0.0000 9.86e-01 0.000 0.000 1.000 0.000 0.000
#> 7578C9A3-FFF8-45C4-AC28-1C6141A9A2AD 1 0.0290 8.37e-01 0.992 0.000 0.000 0.000 0.008
#> 4DF775B9-E2FE-4F5E-8329-C37E21C5D10E 5 0.3534 5.98e-01 0.256 0.000 0.000 0.000 0.744
#> 5E6B86C6-3D79-47BB-9FAF-CA22659CFEA7 5 0.3707 5.72e-01 0.284 0.000 0.000 0.000 0.716
#> 53286128-668B-47EA-9A5F-D768FDCCBE88 1 0.3707 4.88e-01 0.716 0.000 0.000 0.000 0.284
#> 01C9F351-97FE-4037-A879-9D96A3DD3FBB 2 0.0000 9.12e-01 0.000 1.000 0.000 0.000 0.000
#> 5487DB21-6A58-46AC-A2A1-E343082D41D8 5 0.4219 3.46e-01 0.416 0.000 0.000 0.000 0.584
#> 0FB3E997-4E31-4FA6-9654-11C3C0AF8D86 2 0.0000 9.12e-01 0.000 1.000 0.000 0.000 0.000
#> A0706E80-FDF9-4721-BEB4-90527F6D38C4 2 0.0703 9.04e-01 0.000 0.976 0.000 0.024 0.000
#> 5260226E-1826-4F54-8237-28993DD2EF04 3 0.0000 9.86e-01 0.000 0.000 1.000 0.000 0.000
#> F53F71A7-A399-49AB-8657-019C5C56F48C 2 0.0000 9.12e-01 0.000 1.000 0.000 0.000 0.000
#> 008159F2-5247-479A-8BFE-C394888D0B74 4 0.0000 8.00e-01 0.000 0.000 0.000 1.000 0.000
#> 9E6BA6FB-35F2-4510-94AE-3E7CDFED3D47 3 0.0000 9.86e-01 0.000 0.000 1.000 0.000 0.000
#> F12BE7AC-D2DD-4AD1-AB37-32DC85954F59 5 0.8351 1.68e-01 0.272 0.172 0.000 0.196 0.360
#> 38A6BA1F-B444-4155-A168-EC2DF0EE0785 1 0.4256 1.51e-01 0.564 0.000 0.000 0.000 0.436
#> B107D1DE-EE52-4E89-B75A-91124BFF99AE 3 0.0000 9.86e-01 0.000 0.000 1.000 0.000 0.000
#> D4D16D09-8895-4BEA-ABF7-F11C5D5BDCAA 5 0.3857 5.23e-01 0.312 0.000 0.000 0.000 0.688
#> 9A53C473-1364-4BB6-AD36-EF53E0208450 1 0.0000 8.41e-01 1.000 0.000 0.000 0.000 0.000
#> F00C0ED6-C811-4F32-BDB4-4ACA7861DC7D 2 0.0880 9.01e-01 0.000 0.968 0.000 0.032 0.000
#> 72618985-CD49-4B6F-8CB0-5EE590FAD09A 2 0.1608 8.77e-01 0.000 0.928 0.000 0.072 0.000
#> 978A315F-CCE9-4D03-A680-C0AD60B10557 2 0.1270 8.91e-01 0.000 0.948 0.000 0.052 0.000
#> B6EACAED-3944-4510-B685-0BB8D1651D4F 5 0.0000 7.56e-01 0.000 0.000 0.000 0.000 1.000
#> EBCF16B4-A804-45EB-8253-0F28A2645729 5 0.2929 6.80e-01 0.180 0.000 0.000 0.000 0.820
#> 637DC441-4A75-4DA8-8F65-91FDB5F103C7 5 0.1168 7.55e-01 0.032 0.008 0.000 0.000 0.960
#> 89F67654-A246-4307-9B17-4A1C01DB1AED 4 0.2471 8.20e-01 0.000 0.136 0.000 0.864 0.000
#> 3A8EB57B-71ED-4169-A8EB-624C67CDBBE1 2 0.0000 9.12e-01 0.000 1.000 0.000 0.000 0.000
#> CC4DA9C6-CAB2-44FF-8219-D293ECD07DD4 5 0.0290 7.57e-01 0.008 0.000 0.000 0.000 0.992
#> AEC4FDAA-8F60-43CE-8EBB-5629FA662F16 2 0.1197 8.92e-01 0.000 0.952 0.000 0.048 0.000
#> BFC0D795-64F4-48B3-AD08-8C564E5E5367 1 0.3305 5.76e-01 0.776 0.000 0.000 0.000 0.224
#> 907BBBA4-4E7B-4808-892E-F80525C3CFA3 5 0.0404 7.53e-01 0.000 0.012 0.000 0.000 0.988
#> 7F21FA19-1468-4A65-A10A-A9727218A5EF 1 0.0000 8.41e-01 1.000 0.000 0.000 0.000 0.000
#> 905A026A-0B13-4AD3-B2BB-9A5AE76920AF 4 0.0000 8.00e-01 0.000 0.000 0.000 1.000 0.000
#> 6DDFC760-7BED-4A68-8DDA-9453D0FC9C1D 1 0.0000 8.41e-01 1.000 0.000 0.000 0.000 0.000
#> B3AFF323-BAAD-4512-A837-20C430EA39D1 5 0.4088 4.39e-01 0.368 0.000 0.000 0.000 0.632
#> 193E9034-42A2-4701-AA3E-2E852CA5C043 1 0.0000 8.41e-01 1.000 0.000 0.000 0.000 0.000
#> 8B6127D5-D3BB-4E17-914C-3ED1E2A52078 4 0.3003 8.03e-01 0.000 0.188 0.000 0.812 0.000
#> BD6E5E3C-DC43-4A85-84DF-84C68ABB851A 4 0.0000 8.00e-01 0.000 0.000 0.000 1.000 0.000
#> 881EACBD-B314-4A9E-A6DE-58DF9466AFB3 4 0.3774 5.05e-01 0.000 0.000 0.000 0.704 0.296
#> 195A6DF6-437D-4964-8872-C44F13E2CA4C 2 0.0000 9.12e-01 0.000 1.000 0.000 0.000 0.000
#> C40FD0B3-4773-490D-A342-B1CE8CC0A5BD 1 0.0000 8.41e-01 1.000 0.000 0.000 0.000 0.000
#> 613454BF-1A66-4DBB-90D0-246FC212DA4A 5 0.3949 4.81e-01 0.332 0.000 0.000 0.000 0.668
#> 5F121320-0F61-4BC0-BB69-F5C9A93BC118 1 0.0000 8.41e-01 1.000 0.000 0.000 0.000 0.000
#> E5637874-962B-4C43-8339-A6625D754DA8 4 0.6944 3.85e-01 0.104 0.072 0.000 0.536 0.288
#> 7614BF19-E3A2-492A-ABC0-557B274CA326 1 0.0000 8.41e-01 1.000 0.000 0.000 0.000 0.000
#> 6EB070B1-45C3-46DB-BFF9-6D9A137EC3A8 5 0.8061 2.17e-01 0.236 0.288 0.000 0.100 0.376
#> 873EEA1A-8AA1-4C83-B001-7BD64343ADE1 1 0.3336 6.07e-01 0.772 0.000 0.000 0.000 0.228
#> 2DCF0812-AC29-4BC2-8929-4D3D7B0F6335 2 0.1671 8.75e-01 0.000 0.924 0.000 0.076 0.000
#> 9391B623-4EC1-43A2-85EC-7B80BE87827D 1 0.4182 2.17e-01 0.600 0.000 0.000 0.000 0.400
#> 32A000F1-BAEA-41D2-AC75-02255A5BF2F2 4 0.0703 8.04e-01 0.000 0.024 0.000 0.976 0.000
#> 9C1016CE-3EAB-4FA7-806B-C8F6B08B4EA1 1 0.6708 -1.00e-01 0.384 0.000 0.000 0.244 0.372
#> C7C4E75E-887F-4D11-9FDC-32292895A6B3 2 0.3318 7.14e-01 0.000 0.800 0.000 0.008 0.192
#> 54739A62-512F-499F-AFE1-B7C631B35272 1 0.0000 8.41e-01 1.000 0.000 0.000 0.000 0.000
#> 4476DF0E-6BB4-4682-BF59-E61071D4184E 5 0.0510 7.57e-01 0.016 0.000 0.000 0.000 0.984
#> DCCC6566-8A72-411D-B8F0-CC92B6D973AF 4 0.2891 8.08e-01 0.000 0.176 0.000 0.824 0.000
#> 781AEC2C-2604-4DAA-A55C-D07A305AF32E 5 0.2377 6.73e-01 0.000 0.128 0.000 0.000 0.872
#> CB6BBA89-F467-4E0E-9DD1-04631E23D18C 5 0.0000 7.56e-01 0.000 0.000 0.000 0.000 1.000
#> 42E0E49F-0F6A-4787-87E8-E5CEA94822F9 2 0.0000 9.12e-01 0.000 1.000 0.000 0.000 0.000
#> B6466D8A-6CD3-4C90-B1FC-72EBDD93AE47 4 0.5953 4.62e-01 0.220 0.020 0.000 0.636 0.124
#> EEBC342F-80C7-428B-A69C-35962A8A0251 2 0.0000 9.12e-01 0.000 1.000 0.000 0.000 0.000
#> 38CB2DA4-D03B-4AAD-820E-B3475C52A945 2 0.6701 4.65e-03 0.000 0.428 0.000 0.272 0.300
#> E924E4B6-F88B-4F6B-B381-24D125C05D4F 3 0.0000 9.86e-01 0.000 0.000 1.000 0.000 0.000
#> C207F0D6-55B8-4353-8A7D-F1BA623BED96 5 0.2230 7.27e-01 0.116 0.000 0.000 0.000 0.884
#> 980CBBAE-2C02-4150-8BDB-B67713B6425C 3 0.0000 9.86e-01 0.000 0.000 1.000 0.000 0.000
#> 2E2A42A8-50A7-4409-8504-949A2B8A46A6 1 0.4114 2.77e-01 0.624 0.000 0.000 0.000 0.376
#> 65B6391B-3178-4AB3-9AA8-2FFAC5491988 4 0.3454 7.19e-01 0.000 0.028 0.156 0.816 0.000
#> 78EEB2C7-4B64-4CB0-9C94-E2AC46A75237 5 0.6506 2.17e-01 0.200 0.000 0.000 0.344 0.456
#> 4F05A349-3B06-425C-A8CC-63C1B23A3D65 1 0.3661 5.00e-01 0.724 0.000 0.000 0.000 0.276
#> 1CE1B4DB-1F7B-4F30-BAA1-E0252199F05B 2 0.0000 9.12e-01 0.000 1.000 0.000 0.000 0.000
#> 05FAAE20-A94E-41FA-B6B6-7DDCFB4F9657 1 0.0000 8.41e-01 1.000 0.000 0.000 0.000 0.000
#> 8C635DC8-6BED-46F6-893F-2AFB6CB3481A 5 0.1478 7.49e-01 0.064 0.000 0.000 0.000 0.936
#> 48410523-5F22-4531-97FA-7C796AD58989 1 0.0000 8.41e-01 1.000 0.000 0.000 0.000 0.000
#> B68D29BD-EDC7-4375-99F7-C5DAF72F3BA6 1 0.1792 7.81e-01 0.916 0.000 0.000 0.000 0.084
#> 417DC694-EA89-4AE0-94AC-88CA7E4BAA0B 1 0.0000 8.41e-01 1.000 0.000 0.000 0.000 0.000
#> 64CC8829-8B70-4B43-A364-4905139379E4 5 0.6475 1.37e-01 0.388 0.000 0.000 0.184 0.428
#> 9E7B3CD8-5195-4757-AC99-F96FDD02B6EC 5 0.0000 7.56e-01 0.000 0.000 0.000 0.000 1.000
#> 91E396AE-9215-405D-95DA-4F20D02CEB92 5 0.1732 7.23e-01 0.000 0.080 0.000 0.000 0.920
#> 94CD6202-9C20-48FF-952F-C085A9829FF1 1 0.2471 7.28e-01 0.864 0.000 0.000 0.000 0.136
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#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.0000 8.41e-01 1.000 0.000 0.000 0.000 0.000
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 2 0.0963 8.90e-01 0.000 0.964 0.036 0.000 0.000
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 2 0.1270 8.79e-01 0.000 0.948 0.052 0.000 0.000
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 5 0.3424 6.23e-01 0.240 0.000 0.000 0.000 0.760
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 5 0.0000 7.56e-01 0.000 0.000 0.000 0.000 1.000
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.0000 8.41e-01 1.000 0.000 0.000 0.000 0.000
#> DA1301D3-1F84-46C5-AB44-079493A81A51 5 0.1965 7.43e-01 0.096 0.000 0.000 0.000 0.904
#> A12B1681-B598-40C3-80FE-1801F3F1189D 5 0.3684 5.67e-01 0.280 0.000 0.000 0.000 0.720
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 2 0.4203 7.34e-01 0.000 0.780 0.000 0.092 0.128
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 4 0.0000 8.00e-01 0.000 0.000 0.000 1.000 0.000
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.0000 9.12e-01 0.000 1.000 0.000 0.000 0.000
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.3779 7.51e-01 0.000 0.804 0.000 0.052 0.144
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 5 0.0000 7.56e-01 0.000 0.000 0.000 0.000 1.000
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.1732 8.72e-01 0.000 0.920 0.000 0.080 0.000
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.0000 9.12e-01 0.000 1.000 0.000 0.000 0.000
#> 1D0379B1-0E99-4E6D-B890-907C92860654 2 0.6009 3.18e-01 0.000 0.544 0.000 0.136 0.320
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.0794 9.02e-01 0.000 0.972 0.000 0.028 0.000
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 2 0.3586 6.58e-01 0.000 0.736 0.000 0.264 0.000
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 4 0.1792 8.26e-01 0.000 0.084 0.000 0.916 0.000
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0000 8.41e-01 1.000 0.000 0.000 0.000 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.3274 7.21e-01 0.000 0.780 0.000 0.220 0.000
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 5 0.3913 5.09e-01 0.324 0.000 0.000 0.000 0.676
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.2127 8.50e-01 0.000 0.892 0.000 0.108 0.000
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.4150 2.66e-01 0.612 0.000 0.000 0.000 0.388
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.1197 8.92e-01 0.000 0.952 0.000 0.048 0.000
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 5 0.0510 7.56e-01 0.016 0.000 0.000 0.000 0.984
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.0000 9.12e-01 0.000 1.000 0.000 0.000 0.000
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.2280 7.55e-01 0.880 0.000 0.000 0.000 0.120
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.0000 9.12e-01 0.000 1.000 0.000 0.000 0.000
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 8.41e-01 1.000 0.000 0.000 0.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0794 8.25e-01 0.972 0.000 0.000 0.000 0.028
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 4 0.2929 8.01e-01 0.000 0.180 0.000 0.820 0.000
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 5 0.1281 7.56e-01 0.032 0.012 0.000 0.000 0.956
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.3452 6.88e-01 0.000 0.756 0.000 0.244 0.000
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 9.86e-01 0.000 0.000 1.000 0.000 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 2 0.0000 9.12e-01 0.000 1.000 0.000 0.000 0.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.0000 9.86e-01 0.000 0.000 1.000 0.000 0.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 1 0.5270 5.20e-01 0.672 0.000 0.000 0.208 0.120
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.0162 9.11e-01 0.000 0.996 0.000 0.000 0.004
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 4 0.2891 8.08e-01 0.000 0.176 0.000 0.824 0.000
#> 479A968D-4692-404B-A866-B74E7DD17995 4 0.3210 7.89e-01 0.000 0.212 0.000 0.788 0.000
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 4 0.3837 6.38e-01 0.000 0.308 0.000 0.692 0.000
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 8.41e-01 1.000 0.000 0.000 0.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 8.41e-01 1.000 0.000 0.000 0.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.4114 2.76e-01 0.624 0.000 0.000 0.000 0.376
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0000 8.41e-01 1.000 0.000 0.000 0.000 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.0000 9.12e-01 0.000 1.000 0.000 0.000 0.000
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.0000 9.12e-01 0.000 1.000 0.000 0.000 0.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.3242 5.86e-01 0.784 0.000 0.000 0.000 0.216
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.0000 9.12e-01 0.000 1.000 0.000 0.000 0.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.3561 5.49e-01 0.740 0.000 0.000 0.000 0.260
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 5 0.4262 2.71e-01 0.440 0.000 0.000 0.000 0.560
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 9.86e-01 0.000 0.000 1.000 0.000 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 5 0.4171 3.68e-01 0.396 0.000 0.000 0.000 0.604
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0914 0.8798 0.968 0.000 0.000 0.000 0.016 0.016
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.9837 0.000 0.000 1.000 0.000 0.000 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 5 0.0458 0.8638 0.000 0.000 0.000 0.000 0.984 0.016
#> 85252141-5469-4F68-8F3F-934F8B3277E5 5 0.0717 0.8621 0.008 0.000 0.000 0.000 0.976 0.016
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 5 0.0405 0.8664 0.004 0.000 0.000 0.000 0.988 0.008
#> 1B76089D-785F-4353-A898-4E632023D482 6 0.3982 0.7441 0.060 0.000 0.000 0.000 0.200 0.740
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 4 0.0858 0.8774 0.000 0.000 0.000 0.968 0.004 0.028
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 6 0.4811 0.5320 0.000 0.272 0.000 0.064 0.012 0.652
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 5 0.0260 0.8660 0.000 0.000 0.000 0.000 0.992 0.008
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 6 0.0260 0.7757 0.000 0.000 0.000 0.000 0.008 0.992
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 6 0.1204 0.7797 0.000 0.000 0.000 0.000 0.056 0.944
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 2 0.0260 0.9340 0.000 0.992 0.000 0.000 0.000 0.008
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0632 0.8812 0.976 0.000 0.000 0.000 0.000 0.024
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 2 0.1556 0.8823 0.000 0.920 0.080 0.000 0.000 0.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 5 0.2762 0.7976 0.000 0.000 0.000 0.048 0.860 0.092
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 4 0.1387 0.8770 0.000 0.068 0.000 0.932 0.000 0.000
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.3189 0.7254 0.796 0.000 0.000 0.000 0.184 0.020
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0914 0.8798 0.968 0.000 0.000 0.000 0.016 0.016
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 5 0.0458 0.8638 0.000 0.000 0.000 0.000 0.984 0.016
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0260 0.8847 0.992 0.000 0.000 0.000 0.000 0.008
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 6 0.3050 0.7396 0.000 0.000 0.000 0.000 0.236 0.764
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.3428 0.5297 0.000 0.696 0.000 0.304 0.000 0.000
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 4 0.0458 0.8797 0.000 0.000 0.000 0.984 0.000 0.016
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.2704 0.7764 0.844 0.000 0.000 0.000 0.140 0.016
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 6 0.4969 0.6252 0.000 0.196 0.000 0.000 0.156 0.648
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 5 0.1765 0.8274 0.000 0.000 0.000 0.000 0.904 0.096
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.0146 0.9360 0.000 0.996 0.000 0.004 0.000 0.000
#> 375FE390-434B-41D3-9029-84065B1D7B6F 2 0.2537 0.8725 0.000 0.872 0.000 0.032 0.000 0.096
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0405 0.8851 0.988 0.000 0.000 0.000 0.008 0.004
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.0146 0.9360 0.000 0.996 0.000 0.004 0.000 0.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.0146 0.9360 0.000 0.996 0.000 0.004 0.000 0.000
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.0000 0.9361 0.000 1.000 0.000 0.000 0.000 0.000
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.0260 0.9352 0.000 0.992 0.000 0.000 0.000 0.008
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.3253 0.7061 0.788 0.000 0.000 0.000 0.020 0.192
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 2 0.0146 0.9358 0.000 0.996 0.000 0.004 0.000 0.000
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 2 0.2506 0.8835 0.000 0.880 0.000 0.052 0.000 0.068
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 5 0.3373 0.6795 0.248 0.000 0.000 0.000 0.744 0.008
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0000 0.9837 0.000 0.000 1.000 0.000 0.000 0.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 5 0.3840 0.6037 0.284 0.000 0.000 0.000 0.696 0.020
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.0000 0.9837 0.000 0.000 1.000 0.000 0.000 0.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 4 0.0458 0.8797 0.000 0.000 0.000 0.984 0.000 0.016
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.0000 0.9837 0.000 0.000 1.000 0.000 0.000 0.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.0000 0.9837 0.000 0.000 1.000 0.000 0.000 0.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 6 0.3314 0.6941 0.224 0.000 0.000 0.000 0.012 0.764
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 6 0.0891 0.7749 0.000 0.000 0.000 0.024 0.008 0.968
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.3774 0.4166 0.664 0.000 0.000 0.000 0.328 0.008
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 4 0.1910 0.8668 0.000 0.108 0.000 0.892 0.000 0.000
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 6 0.2597 0.7643 0.000 0.000 0.000 0.000 0.176 0.824
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.2664 0.7359 0.816 0.000 0.000 0.000 0.184 0.000
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 6 0.3140 0.7468 0.000 0.092 0.000 0.056 0.008 0.844
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.1204 0.9157 0.000 0.944 0.000 0.056 0.000 0.000
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 1 0.5801 0.3683 0.528 0.000 0.000 0.320 0.016 0.136
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.0000 0.9837 0.000 0.000 1.000 0.000 0.000 0.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.4573 0.6374 0.688 0.000 0.000 0.000 0.208 0.104
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 2 0.0865 0.9243 0.000 0.964 0.000 0.000 0.000 0.036
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 4 0.0260 0.8834 0.000 0.008 0.000 0.992 0.000 0.000
#> 208165C0-229B-49E2-A22A-575CA3157C9E 6 0.3343 0.7277 0.000 0.144 0.000 0.040 0.004 0.812
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 1 0.5401 0.4186 0.556 0.000 0.000 0.020 0.076 0.348
#> 01397021-8495-4D89-885A-166B4DBA0122 3 0.0000 0.9837 0.000 0.000 1.000 0.000 0.000 0.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 3 0.0000 0.9837 0.000 0.000 1.000 0.000 0.000 0.000
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.0146 0.8854 0.996 0.000 0.000 0.000 0.000 0.004
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 4 0.2912 0.7585 0.000 0.216 0.000 0.784 0.000 0.000
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 2 0.0000 0.9361 0.000 1.000 0.000 0.000 0.000 0.000
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 2 0.0865 0.9259 0.000 0.964 0.000 0.036 0.000 0.000
#> AA569A06-0F37-4492-93F3-60A4539A3E82 2 0.2134 0.8988 0.000 0.904 0.000 0.052 0.000 0.044
#> BC53FB75-94CA-48C3-875B-5987037D186F 2 0.0000 0.9361 0.000 1.000 0.000 0.000 0.000 0.000
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 1 0.5172 0.4568 0.592 0.000 0.000 0.000 0.284 0.124
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 2 0.0000 0.9361 0.000 1.000 0.000 0.000 0.000 0.000
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 2 0.2001 0.9044 0.000 0.912 0.000 0.040 0.000 0.048
#> DF67F589-A607-4B95-96B8-4BB344132312 2 0.2651 0.8605 0.000 0.860 0.000 0.112 0.000 0.028
#> A65233E6-C146-4ACF-8DDE-5FB12D8D9637 3 0.0000 0.9837 0.000 0.000 1.000 0.000 0.000 0.000
#> 7578C9A3-FFF8-45C4-AC28-1C6141A9A2AD 1 0.0260 0.8846 0.992 0.000 0.000 0.000 0.008 0.000
#> 4DF775B9-E2FE-4F5E-8329-C37E21C5D10E 6 0.2282 0.7751 0.088 0.000 0.000 0.000 0.024 0.888
#> 5E6B86C6-3D79-47BB-9FAF-CA22659CFEA7 6 0.3481 0.7386 0.160 0.000 0.000 0.000 0.048 0.792
#> 53286128-668B-47EA-9A5F-D768FDCCBE88 6 0.4283 0.4107 0.384 0.000 0.000 0.000 0.024 0.592
#> 01C9F351-97FE-4037-A879-9D96A3DD3FBB 2 0.0000 0.9361 0.000 1.000 0.000 0.000 0.000 0.000
#> 5487DB21-6A58-46AC-A2A1-E343082D41D8 5 0.2473 0.7909 0.136 0.000 0.000 0.000 0.856 0.008
#> 0FB3E997-4E31-4FA6-9654-11C3C0AF8D86 2 0.0146 0.9360 0.000 0.996 0.000 0.004 0.000 0.000
#> A0706E80-FDF9-4721-BEB4-90527F6D38C4 2 0.0547 0.9326 0.000 0.980 0.000 0.020 0.000 0.000
#> 5260226E-1826-4F54-8237-28993DD2EF04 3 0.0000 0.9837 0.000 0.000 1.000 0.000 0.000 0.000
#> F53F71A7-A399-49AB-8657-019C5C56F48C 2 0.1075 0.9183 0.000 0.952 0.000 0.000 0.000 0.048
#> 008159F2-5247-479A-8BFE-C394888D0B74 4 0.0000 0.8805 0.000 0.000 0.000 1.000 0.000 0.000
#> 9E6BA6FB-35F2-4510-94AE-3E7CDFED3D47 3 0.0000 0.9837 0.000 0.000 1.000 0.000 0.000 0.000
#> F12BE7AC-D2DD-4AD1-AB37-32DC85954F59 6 0.1628 0.7764 0.004 0.008 0.000 0.036 0.012 0.940
#> 38A6BA1F-B444-4155-A168-EC2DF0EE0785 1 0.5234 0.4196 0.576 0.000 0.000 0.000 0.300 0.124
#> B107D1DE-EE52-4E89-B75A-91124BFF99AE 3 0.0000 0.9837 0.000 0.000 1.000 0.000 0.000 0.000
#> D4D16D09-8895-4BEA-ABF7-F11C5D5BDCAA 5 0.0891 0.8658 0.024 0.000 0.000 0.000 0.968 0.008
#> 9A53C473-1364-4BB6-AD36-EF53E0208450 1 0.4176 0.1982 0.580 0.000 0.000 0.000 0.404 0.016
#> F00C0ED6-C811-4F32-BDB4-4ACA7861DC7D 2 0.1007 0.9176 0.000 0.956 0.000 0.044 0.000 0.000
#> 72618985-CD49-4B6F-8CB0-5EE590FAD09A 2 0.2201 0.8963 0.000 0.900 0.000 0.052 0.000 0.048
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#> D1B88E26-3B64-4E1A-8E50-22AD100BD9F9 4 0.0260 0.8834 0.000 0.008 0.000 0.992 0.000 0.000
#> 3AEB8943-FE34-4014-B851-BBF83857A794 4 0.4563 0.7068 0.000 0.164 0.000 0.700 0.000 0.136
#> BECD727E-E3C1-4C42-9047-D97B7444B20B 4 0.0363 0.8846 0.000 0.012 0.000 0.988 0.000 0.000
#> AF866E63-9EA1-4669-B9C4-FC7E877334AE 2 0.1007 0.9202 0.000 0.956 0.000 0.000 0.000 0.044
#> F9C8E54A-4CE4-4839-B0CA-58678461EEF1 2 0.3050 0.6406 0.000 0.764 0.000 0.236 0.000 0.000
#> AE818BC4-05BF-4E85-A4AD-F3E43DD7D37A 2 0.0146 0.9360 0.000 0.996 0.000 0.004 0.000 0.000
#> BA73A860-CADE-408D-8D27-14EADA2B53B0 1 0.4282 0.7157 0.736 0.000 0.000 0.036 0.028 0.200
#> 688858C8-48CA-43E9-AE2C-B9D4F80B5EE9 2 0.0937 0.9237 0.000 0.960 0.000 0.040 0.000 0.000
#> EB1D52B2-17B3-491E-B484-1235633D6925 2 0.1333 0.9170 0.000 0.944 0.000 0.008 0.000 0.048
#> AE261B5D-3881-40B9-8EE7-26B950E0BE16 6 0.3956 0.7240 0.036 0.000 0.000 0.000 0.252 0.712
#> 8C9851D5-3091-4DE0-A59E-9122C0CA1CD2 4 0.2454 0.8329 0.000 0.160 0.000 0.840 0.000 0.000
#> C8180F95-4E9C-45DB-B959-B47F64167C2D 4 0.0790 0.8760 0.000 0.000 0.000 0.968 0.000 0.032
#> 552D3B42-8D22-4B64-B3A2-B3E5D51A8524 2 0.0146 0.9360 0.000 0.996 0.000 0.004 0.000 0.000
#> FED9F364-BC3F-4134-BF4B-4D24B0EB8315 5 0.0520 0.8658 0.008 0.000 0.000 0.000 0.984 0.008
#> 7B0D7792-C803-4DD0-B9BF-CB83DA2D199A 1 0.0291 0.8850 0.992 0.000 0.000 0.000 0.004 0.004
#> B4F82CBB-A47C-44C3-81AC-CF775FF06FCD 1 0.0725 0.8842 0.976 0.000 0.000 0.000 0.012 0.012
#> BFAB10CF-5B24-40F7-92E7-C2E60DD779EF 6 0.2662 0.7593 0.120 0.000 0.000 0.000 0.024 0.856
#> E4E259E1-48B2-4C76-B113-E46270742F53 2 0.0146 0.9358 0.000 0.996 0.000 0.000 0.000 0.004
#> 81FCBC31-367A-4B1C-A832-B133E4A43738 6 0.1563 0.7816 0.000 0.000 0.000 0.012 0.056 0.932
#> 8690FA0F-9C1C-4D97-813A-3FB56827FBFC 2 0.1285 0.9167 0.000 0.944 0.000 0.052 0.000 0.004
#> 9810CF0C-99D1-445B-B1F9-C956D2438495 3 0.0547 0.9616 0.000 0.020 0.980 0.000 0.000 0.000
#> 2F5073E1-9EDD-46B5-95E3-8314E2A5B620 6 0.2039 0.7840 0.020 0.000 0.000 0.000 0.076 0.904
#> B454F9FB-439A-43B5-877D-752D0F138AB5 2 0.0000 0.9361 0.000 1.000 0.000 0.000 0.000 0.000
#> 287F2B71-92F8-4D14-8249-C1BFBB254BE7 1 0.1320 0.8763 0.948 0.000 0.000 0.000 0.016 0.036
#> 52DC920F-0AD5-47CE-BD81-31843876B71E 1 0.0146 0.8854 0.996 0.000 0.000 0.000 0.000 0.004
#> 6BAC4B1B-C3FC-4A09-9821-232E510E6A47 5 0.4829 0.5076 0.308 0.000 0.000 0.000 0.612 0.080
#> A2B87EED-0D8E-4B20-85D3-FD9CC5E2E806 1 0.0520 0.8846 0.984 0.000 0.000 0.000 0.008 0.008
#> 43E6DB93-2DA6-4F0F-BF81-0C3869134D2B 1 0.0405 0.8847 0.988 0.000 0.000 0.000 0.008 0.004
#> 09A2ED74-A7C7-4DBB-8EDD-C80D0F0AEFDF 5 0.3109 0.7151 0.224 0.000 0.000 0.000 0.772 0.004
#> 35EDCB52-D4B5-4305-8A74-95EFE6F2BFB1 6 0.3284 0.7134 0.196 0.000 0.000 0.000 0.020 0.784
#> D5D18AF8-9CC2-496C-A83A-31BBA0195CFD 5 0.2823 0.7070 0.000 0.000 0.000 0.000 0.796 0.204
#> 03767EDF-2F8A-41DE-8D80-F4BE861225A3 6 0.3240 0.7355 0.000 0.004 0.000 0.000 0.244 0.752
#> 586BC656-AD9C-44EF-9ED4-87DEEB5C8AA6 1 0.3782 0.2817 0.588 0.000 0.000 0.000 0.000 0.412
#> 23CA1146-CB1B-4054-A4FF-200B87444BF9 1 0.0000 0.8855 1.000 0.000 0.000 0.000 0.000 0.000
#> 910E9B6D-E7D5-4C83-A19C-1EEA6E135639 6 0.0858 0.7787 0.000 0.000 0.000 0.004 0.028 0.968
#> F36353A3-6CE6-4347-A78B-0AAD8FAB14AD 1 0.0000 0.8855 1.000 0.000 0.000 0.000 0.000 0.000
#> 2045736E-7D0F-4B17-B74B-3B12AEE3E68C 1 0.0000 0.8855 1.000 0.000 0.000 0.000 0.000 0.000
#> 5EFA2C2D-30B3-4D66-9601-354711F9FC56 3 0.0000 0.9837 0.000 0.000 1.000 0.000 0.000 0.000
#> 3FBD381D-84C8-4680-980B-CC4B7924BE06 2 0.0146 0.9360 0.000 0.996 0.000 0.004 0.000 0.000
#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 6 0.3622 0.7630 0.000 0.004 0.000 0.124 0.072 0.800
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 5 0.0520 0.8658 0.008 0.000 0.000 0.000 0.984 0.008
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 2 0.0937 0.9237 0.000 0.960 0.000 0.040 0.000 0.000
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 4 0.3076 0.7605 0.000 0.240 0.000 0.760 0.000 0.000
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 5 0.0458 0.8638 0.000 0.000 0.000 0.000 0.984 0.016
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 2 0.0000 0.9361 0.000 1.000 0.000 0.000 0.000 0.000
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 4 0.0260 0.8834 0.000 0.008 0.000 0.992 0.000 0.000
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 6 0.1501 0.7813 0.000 0.000 0.000 0.000 0.076 0.924
#> A3343F40-F977-4F9B-856A-28781F10F4CD 4 0.2527 0.8324 0.000 0.168 0.000 0.832 0.000 0.000
#> DA144299-5541-47D7-A59E-C92896DF08FC 5 0.0291 0.8677 0.004 0.000 0.000 0.000 0.992 0.004
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 2 0.0000 0.9361 0.000 1.000 0.000 0.000 0.000 0.000
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.0000 0.8855 1.000 0.000 0.000 0.000 0.000 0.000
#> 617447CF-9327-4062-B22C-71A8944C948F 4 0.1007 0.8843 0.000 0.044 0.000 0.956 0.000 0.000
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0000 0.8855 1.000 0.000 0.000 0.000 0.000 0.000
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 4 0.0458 0.8846 0.000 0.016 0.000 0.984 0.000 0.000
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 5 0.3229 0.7547 0.140 0.000 0.000 0.000 0.816 0.044
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.0260 0.9353 0.000 0.992 0.000 0.008 0.000 0.000
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 5 0.4219 0.3823 0.388 0.000 0.000 0.000 0.592 0.020
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 3 0.0000 0.9837 0.000 0.000 1.000 0.000 0.000 0.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 4 0.1387 0.8792 0.000 0.068 0.000 0.932 0.000 0.000
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 2 0.3847 0.2068 0.000 0.544 0.456 0.000 0.000 0.000
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 5 0.2795 0.7919 0.100 0.000 0.000 0.000 0.856 0.044
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 6 0.2340 0.7719 0.000 0.000 0.000 0.000 0.148 0.852
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.0146 0.9360 0.000 0.996 0.000 0.004 0.000 0.000
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 6 0.3670 0.6540 0.240 0.000 0.000 0.000 0.024 0.736
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.0891 0.8811 0.968 0.000 0.000 0.000 0.008 0.024
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 2 0.0865 0.9198 0.000 0.964 0.036 0.000 0.000 0.000
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 2 0.1007 0.9153 0.000 0.956 0.044 0.000 0.000 0.000
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 5 0.0260 0.8660 0.000 0.000 0.000 0.000 0.992 0.008
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 6 0.3265 0.7332 0.000 0.004 0.000 0.000 0.248 0.748
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.2821 0.8009 0.832 0.000 0.000 0.000 0.016 0.152
#> DA1301D3-1F84-46C5-AB44-079493A81A51 5 0.2679 0.8157 0.040 0.000 0.000 0.000 0.864 0.096
#> A12B1681-B598-40C3-80FE-1801F3F1189D 6 0.2221 0.7818 0.072 0.000 0.000 0.000 0.032 0.896
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 2 0.4237 0.6271 0.000 0.704 0.000 0.048 0.004 0.244
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 4 0.1444 0.8604 0.000 0.000 0.000 0.928 0.000 0.072
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.0000 0.9361 0.000 1.000 0.000 0.000 0.000 0.000
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.3110 0.8526 0.000 0.860 0.000 0.044 0.056 0.040
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 5 0.0458 0.8638 0.000 0.000 0.000 0.000 0.984 0.016
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.2066 0.8994 0.000 0.908 0.000 0.052 0.000 0.040
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.0000 0.9361 0.000 1.000 0.000 0.000 0.000 0.000
#> 1D0379B1-0E99-4E6D-B890-907C92860654 6 0.3304 0.7168 0.000 0.168 0.000 0.020 0.008 0.804
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.0547 0.9328 0.000 0.980 0.000 0.020 0.000 0.000
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 2 0.4498 0.5064 0.000 0.644 0.000 0.300 0.000 0.056
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 4 0.0458 0.8848 0.000 0.016 0.000 0.984 0.000 0.000
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0891 0.8811 0.968 0.000 0.000 0.000 0.008 0.024
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.3175 0.6708 0.000 0.744 0.000 0.256 0.000 0.000
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 5 0.0146 0.8673 0.004 0.000 0.000 0.000 0.996 0.000
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.2066 0.8994 0.000 0.908 0.000 0.052 0.000 0.040
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 5 0.1895 0.8425 0.072 0.000 0.000 0.000 0.912 0.016
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.0937 0.9237 0.000 0.960 0.000 0.040 0.000 0.000
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 6 0.3265 0.7334 0.004 0.000 0.000 0.000 0.248 0.748
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.0146 0.9360 0.000 0.996 0.000 0.004 0.000 0.000
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.3168 0.7063 0.792 0.000 0.000 0.000 0.016 0.192
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.0146 0.9360 0.000 0.996 0.000 0.004 0.000 0.000
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0146 0.8855 0.996 0.000 0.000 0.000 0.000 0.004
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.1049 0.8743 0.960 0.000 0.000 0.000 0.032 0.008
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 4 0.2527 0.8123 0.000 0.168 0.000 0.832 0.000 0.000
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 6 0.2730 0.7602 0.000 0.000 0.000 0.000 0.192 0.808
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.3499 0.5583 0.000 0.680 0.000 0.320 0.000 0.000
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.9837 0.000 0.000 1.000 0.000 0.000 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 2 0.0000 0.9361 0.000 1.000 0.000 0.000 0.000 0.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.0000 0.9837 0.000 0.000 1.000 0.000 0.000 0.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 1 0.4454 0.5996 0.652 0.000 0.000 0.020 0.020 0.308
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.0632 0.9296 0.000 0.976 0.000 0.000 0.000 0.024
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 4 0.1267 0.8795 0.000 0.060 0.000 0.940 0.000 0.000
#> 479A968D-4692-404B-A866-B74E7DD17995 4 0.2219 0.8533 0.000 0.136 0.000 0.864 0.000 0.000
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 4 0.3993 0.6080 0.000 0.300 0.000 0.676 0.000 0.024
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.8855 1.000 0.000 0.000 0.000 0.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.8855 1.000 0.000 0.000 0.000 0.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 5 0.3862 0.3983 0.388 0.000 0.000 0.000 0.608 0.004
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.2562 0.7509 0.828 0.000 0.000 0.000 0.172 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.0000 0.9361 0.000 1.000 0.000 0.000 0.000 0.000
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.0000 0.9361 0.000 1.000 0.000 0.000 0.000 0.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.3547 0.4929 0.668 0.000 0.000 0.000 0.000 0.332
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.0146 0.9360 0.000 0.996 0.000 0.004 0.000 0.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 6 0.4076 0.3834 0.396 0.000 0.000 0.000 0.012 0.592
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 5 0.0458 0.8672 0.016 0.000 0.000 0.000 0.984 0.000
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.9837 0.000 0.000 1.000 0.000 0.000 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 5 0.3908 0.7198 0.132 0.000 0.000 0.000 0.768 0.100
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 17654 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'SD' method.
#> Subgroups are detected by 'mclust' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 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 0.813 0.883 0.951 0.4828 0.506 0.506
#> 3 3 1.000 0.949 0.981 0.2057 0.764 0.592
#> 4 4 0.731 0.711 0.843 0.1764 0.858 0.671
#> 5 5 0.671 0.558 0.749 0.1255 0.826 0.505
#> 6 6 0.704 0.665 0.809 0.0552 0.897 0.586
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
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.971864 1.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 2 0.0000 0.912847 0.000 1.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.0000 0.971864 1.000 0.000
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.0000 0.971864 1.000 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.0000 0.971864 1.000 0.000
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.0000 0.971864 1.000 0.000
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 1 0.0000 0.971864 1.000 0.000
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 1 0.6343 0.782158 0.840 0.160
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.0000 0.971864 1.000 0.000
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 1 0.0000 0.971864 1.000 0.000
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.0000 0.971864 1.000 0.000
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 2 0.0000 0.912847 0.000 1.000
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.971864 1.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 2 0.0000 0.912847 0.000 1.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 1 0.0000 0.971864 1.000 0.000
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.0000 0.912847 0.000 1.000
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0000 0.971864 1.000 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.971864 1.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 1 0.0000 0.971864 1.000 0.000
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0000 0.971864 1.000 0.000
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 1 0.0000 0.971864 1.000 0.000
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.0000 0.912847 0.000 1.000
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 1 0.9129 0.449967 0.672 0.328
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0000 0.971864 1.000 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 1 0.2043 0.941336 0.968 0.032
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 1 0.0000 0.971864 1.000 0.000
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#> 375FE390-434B-41D3-9029-84065B1D7B6F 1 0.2948 0.920533 0.948 0.052
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 0.971864 1.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.0000 0.912847 0.000 1.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.0000 0.912847 0.000 1.000
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.1843 0.895852 0.028 0.972
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.8661 0.629823 0.288 0.712
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#> F24CC083-662D-457C-9BEC-3B68D63236AE 2 0.5519 0.817816 0.128 0.872
#> 48350BD7-9F6E-4DB5-B34A-F47B0BA74EF6 2 0.8661 0.630346 0.288 0.712
#> 94523D56-65BB-4860-9B7F-5859F5C82C05 2 0.0000 0.912847 0.000 1.000
#> CED33410-C7DE-43CC-941A-7652B200E5BB 2 0.0376 0.910726 0.004 0.996
#> 7E122E61-7895-4322-97BE-ABC29D7B7EA9 2 0.0000 0.912847 0.000 1.000
#> 60506411-6B29-49B4-9183-F54EE8B02CC4 1 0.0000 0.971864 1.000 0.000
#> ED52DF66-827A-4A8C-8E50-03C85FA04508 1 0.0000 0.971864 1.000 0.000
#> AB3B48ED-CFF9-4D66-BF3A-E9267D57BA14 2 0.9635 0.454635 0.388 0.612
#> 248A7931-1EB5-47E3-A966-E6AF62E21FC1 2 0.0000 0.912847 0.000 1.000
#> CB846F43-7719-4B7E-946B-32E6384F3CC4 1 0.0000 0.971864 1.000 0.000
#> 940E691A-04A2-410F-B1FB-A66A3BFE10E7 2 0.0000 0.912847 0.000 1.000
#> C3842EA2-E3BC-48DE-9B59-92145AC2F716 2 0.0000 0.912847 0.000 1.000
#> 497FB1B2-A998-44F3-8D69-6974314F941D 1 0.4939 0.854700 0.892 0.108
#> 4BAA88D6-4A88-4D54-9B0E-83365CC85C39 1 0.0000 0.971864 1.000 0.000
#> 7480A3B3-3BF8-4123-8E2E-8C2B52688EC6 2 0.0000 0.912847 0.000 1.000
#> AE3211D1-65C0-46B1-A67F-741C21A7D1C4 2 0.3274 0.873854 0.060 0.940
#> D7244456-CB99-4893-85FE-65082CC4F17C 2 0.0000 0.912847 0.000 1.000
#> C4E0F193-49DC-4A49-84BB-337AAF277145 1 0.0000 0.971864 1.000 0.000
#> E2DF7E97-6BE1-412C-B71D-151B87739653 1 0.6623 0.765694 0.828 0.172
#> 022BCEE2-4794-4D5D-87E5-22CD25FDBA98 2 0.0000 0.912847 0.000 1.000
#> 2AF33CEA-C327-4A31-84D8-C4F26E8A3ECF 1 0.0000 0.971864 1.000 0.000
#> E877B9C0-11C5-4CC8-BAE1-AC210535F3DB 1 0.0000 0.971864 1.000 0.000
#> 0E737E9F-1045-4B86-A290-ED927D5DE7BF 2 0.0000 0.912847 0.000 1.000
#> D1B88E26-3B64-4E1A-8E50-22AD100BD9F9 2 0.2948 0.879929 0.052 0.948
#> 3AEB8943-FE34-4014-B851-BBF83857A794 2 0.9815 0.382051 0.420 0.580
#> BECD727E-E3C1-4C42-9047-D97B7444B20B 2 0.4022 0.858774 0.080 0.920
#> AF866E63-9EA1-4669-B9C4-FC7E877334AE 2 0.7815 0.706261 0.232 0.768
#> F9C8E54A-4CE4-4839-B0CA-58678461EEF1 2 0.0000 0.912847 0.000 1.000
#> AE818BC4-05BF-4E85-A4AD-F3E43DD7D37A 2 0.0000 0.912847 0.000 1.000
#> BA73A860-CADE-408D-8D27-14EADA2B53B0 1 0.0000 0.971864 1.000 0.000
#> 688858C8-48CA-43E9-AE2C-B9D4F80B5EE9 2 0.0000 0.912847 0.000 1.000
#> EB1D52B2-17B3-491E-B484-1235633D6925 1 0.6623 0.765298 0.828 0.172
#> AE261B5D-3881-40B9-8EE7-26B950E0BE16 1 0.0000 0.971864 1.000 0.000
#> 8C9851D5-3091-4DE0-A59E-9122C0CA1CD2 2 0.0000 0.912847 0.000 1.000
#> C8180F95-4E9C-45DB-B959-B47F64167C2D 1 0.0938 0.960926 0.988 0.012
#> 552D3B42-8D22-4B64-B3A2-B3E5D51A8524 2 0.0000 0.912847 0.000 1.000
#> FED9F364-BC3F-4134-BF4B-4D24B0EB8315 1 0.0000 0.971864 1.000 0.000
#> 7B0D7792-C803-4DD0-B9BF-CB83DA2D199A 1 0.0000 0.971864 1.000 0.000
#> B4F82CBB-A47C-44C3-81AC-CF775FF06FCD 1 0.0000 0.971864 1.000 0.000
#> BFAB10CF-5B24-40F7-92E7-C2E60DD779EF 1 0.0000 0.971864 1.000 0.000
#> E4E259E1-48B2-4C76-B113-E46270742F53 2 0.1184 0.903577 0.016 0.984
#> 81FCBC31-367A-4B1C-A832-B133E4A43738 1 0.0000 0.971864 1.000 0.000
#> 8690FA0F-9C1C-4D97-813A-3FB56827FBFC 1 0.9963 0.000331 0.536 0.464
#> 9810CF0C-99D1-445B-B1F9-C956D2438495 2 0.0000 0.912847 0.000 1.000
#> 2F5073E1-9EDD-46B5-95E3-8314E2A5B620 1 0.0000 0.971864 1.000 0.000
#> B454F9FB-439A-43B5-877D-752D0F138AB5 2 0.0000 0.912847 0.000 1.000
#> 287F2B71-92F8-4D14-8249-C1BFBB254BE7 1 0.0000 0.971864 1.000 0.000
#> 52DC920F-0AD5-47CE-BD81-31843876B71E 1 0.0000 0.971864 1.000 0.000
#> 6BAC4B1B-C3FC-4A09-9821-232E510E6A47 1 0.0000 0.971864 1.000 0.000
#> A2B87EED-0D8E-4B20-85D3-FD9CC5E2E806 1 0.0000 0.971864 1.000 0.000
#> 43E6DB93-2DA6-4F0F-BF81-0C3869134D2B 1 0.0000 0.971864 1.000 0.000
#> 09A2ED74-A7C7-4DBB-8EDD-C80D0F0AEFDF 1 0.0000 0.971864 1.000 0.000
#> 35EDCB52-D4B5-4305-8A74-95EFE6F2BFB1 1 0.0000 0.971864 1.000 0.000
#> D5D18AF8-9CC2-496C-A83A-31BBA0195CFD 1 0.0000 0.971864 1.000 0.000
#> 03767EDF-2F8A-41DE-8D80-F4BE861225A3 1 0.0000 0.971864 1.000 0.000
#> 586BC656-AD9C-44EF-9ED4-87DEEB5C8AA6 1 0.0000 0.971864 1.000 0.000
#> 23CA1146-CB1B-4054-A4FF-200B87444BF9 1 0.0000 0.971864 1.000 0.000
#> 910E9B6D-E7D5-4C83-A19C-1EEA6E135639 1 0.0000 0.971864 1.000 0.000
#> F36353A3-6CE6-4347-A78B-0AAD8FAB14AD 1 0.0000 0.971864 1.000 0.000
#> 2045736E-7D0F-4B17-B74B-3B12AEE3E68C 1 0.0000 0.971864 1.000 0.000
#> 5EFA2C2D-30B3-4D66-9601-354711F9FC56 2 0.0000 0.912847 0.000 1.000
#> 3FBD381D-84C8-4680-980B-CC4B7924BE06 2 0.0000 0.912847 0.000 1.000
#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 1 0.5946 0.806457 0.856 0.144
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 1 0.0000 0.971864 1.000 0.000
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 2 0.0376 0.910727 0.004 0.996
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 2 0.0000 0.912847 0.000 1.000
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 1 0.0000 0.971864 1.000 0.000
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 2 0.0000 0.912847 0.000 1.000
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 2 0.9754 0.411660 0.408 0.592
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 1 0.0000 0.971864 1.000 0.000
#> A3343F40-F977-4F9B-856A-28781F10F4CD 2 0.0000 0.912847 0.000 1.000
#> DA144299-5541-47D7-A59E-C92896DF08FC 1 0.0000 0.971864 1.000 0.000
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 2 0.0000 0.912847 0.000 1.000
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.0000 0.971864 1.000 0.000
#> 617447CF-9327-4062-B22C-71A8944C948F 2 0.0000 0.912847 0.000 1.000
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0000 0.971864 1.000 0.000
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 2 0.0000 0.912847 0.000 1.000
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.0000 0.971864 1.000 0.000
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.0000 0.912847 0.000 1.000
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.0000 0.971864 1.000 0.000
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 2 0.0000 0.912847 0.000 1.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 2 0.0000 0.912847 0.000 1.000
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 2 0.0000 0.912847 0.000 1.000
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.0000 0.971864 1.000 0.000
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 1 0.0000 0.971864 1.000 0.000
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.0000 0.912847 0.000 1.000
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 1 0.0000 0.971864 1.000 0.000
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.0000 0.971864 1.000 0.000
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 2 0.0000 0.912847 0.000 1.000
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 2 0.0000 0.912847 0.000 1.000
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 1 0.0000 0.971864 1.000 0.000
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 1 0.0000 0.971864 1.000 0.000
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.0000 0.971864 1.000 0.000
#> DA1301D3-1F84-46C5-AB44-079493A81A51 1 0.0000 0.971864 1.000 0.000
#> A12B1681-B598-40C3-80FE-1801F3F1189D 1 0.0000 0.971864 1.000 0.000
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 1 0.8608 0.555007 0.716 0.284
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 1 0.0376 0.968246 0.996 0.004
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.0000 0.912847 0.000 1.000
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 1 0.9000 0.479452 0.684 0.316
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 1 0.0000 0.971864 1.000 0.000
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.0376 0.910729 0.004 0.996
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.0000 0.912847 0.000 1.000
#> 1D0379B1-0E99-4E6D-B890-907C92860654 1 0.0000 0.971864 1.000 0.000
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.0000 0.912847 0.000 1.000
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 1 0.6801 0.752778 0.820 0.180
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 2 0.0938 0.905882 0.012 0.988
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0000 0.971864 1.000 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.0000 0.912847 0.000 1.000
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.0000 0.971864 1.000 0.000
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.4431 0.848880 0.092 0.908
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0000 0.971864 1.000 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.0000 0.912847 0.000 1.000
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 1 0.0000 0.971864 1.000 0.000
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.0000 0.912847 0.000 1.000
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.0000 0.971864 1.000 0.000
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.0000 0.912847 0.000 1.000
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.971864 1.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.971864 1.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.0000 0.912847 0.000 1.000
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.0000 0.971864 1.000 0.000
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.0000 0.912847 0.000 1.000
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 2 0.0000 0.912847 0.000 1.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 2 0.0000 0.912847 0.000 1.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 2 0.0000 0.912847 0.000 1.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 1 0.0000 0.971864 1.000 0.000
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.1414 0.901202 0.020 0.980
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.0000 0.912847 0.000 1.000
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.0000 0.912847 0.000 1.000
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.6343 0.787396 0.160 0.840
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.971864 1.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.971864 1.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.0000 0.971864 1.000 0.000
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0000 0.971864 1.000 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.0376 0.910727 0.004 0.996
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.0000 0.912847 0.000 1.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0000 0.971864 1.000 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.0000 0.912847 0.000 1.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.0000 0.971864 1.000 0.000
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.0000 0.971864 1.000 0.000
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 2 0.0000 0.912847 0.000 1.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.0000 0.971864 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.97235 1.000 0.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.97630 0.000 0.000 1.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.0000 0.97235 1.000 0.000 0.000
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.1411 0.93311 0.964 0.036 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.0000 0.97235 1.000 0.000 0.000
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.0000 0.97235 1.000 0.000 0.000
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 2 0.0000 0.98109 0.000 1.000 0.000
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 2 0.0000 0.98109 0.000 1.000 0.000
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.0000 0.97235 1.000 0.000 0.000
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 1 0.4605 0.70686 0.796 0.204 0.000
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.0237 0.96801 0.996 0.004 0.000
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 2 0.0424 0.97758 0.000 0.992 0.008
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.97235 1.000 0.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 2 0.0592 0.97467 0.000 0.988 0.012
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 2 0.0747 0.96379 0.016 0.984 0.000
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.0237 0.98006 0.000 0.996 0.004
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0000 0.97235 1.000 0.000 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.97235 1.000 0.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 1 0.0000 0.97235 1.000 0.000 0.000
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0000 0.97235 1.000 0.000 0.000
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 2 0.6260 0.16721 0.448 0.552 0.000
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.0592 0.97467 0.000 0.988 0.012
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 2 0.0000 0.98109 0.000 1.000 0.000
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0000 0.97235 1.000 0.000 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 2 0.0000 0.98109 0.000 1.000 0.000
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 1 0.0000 0.97235 1.000 0.000 0.000
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.0000 0.98109 0.000 1.000 0.000
#> 375FE390-434B-41D3-9029-84065B1D7B6F 2 0.0000 0.98109 0.000 1.000 0.000
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 0.97235 1.000 0.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.0592 0.97467 0.000 0.988 0.012
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.0000 0.98109 0.000 1.000 0.000
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.0000 0.98109 0.000 1.000 0.000
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.0000 0.98109 0.000 1.000 0.000
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.0000 0.97235 1.000 0.000 0.000
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 2 0.0592 0.97467 0.000 0.988 0.012
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 2 0.0000 0.98109 0.000 1.000 0.000
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 1 0.0000 0.97235 1.000 0.000 0.000
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0000 0.97630 0.000 0.000 1.000
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#> 8C9851D5-3091-4DE0-A59E-9122C0CA1CD2 2 0.0237 0.98006 0.000 0.996 0.004
#> C8180F95-4E9C-45DB-B959-B47F64167C2D 2 0.0000 0.98109 0.000 1.000 0.000
#> 552D3B42-8D22-4B64-B3A2-B3E5D51A8524 2 0.0237 0.98006 0.000 0.996 0.004
#> FED9F364-BC3F-4134-BF4B-4D24B0EB8315 1 0.0000 0.97235 1.000 0.000 0.000
#> 7B0D7792-C803-4DD0-B9BF-CB83DA2D199A 1 0.0000 0.97235 1.000 0.000 0.000
#> B4F82CBB-A47C-44C3-81AC-CF775FF06FCD 1 0.0000 0.97235 1.000 0.000 0.000
#> BFAB10CF-5B24-40F7-92E7-C2E60DD779EF 1 0.0000 0.97235 1.000 0.000 0.000
#> E4E259E1-48B2-4C76-B113-E46270742F53 2 0.0000 0.98109 0.000 1.000 0.000
#> 81FCBC31-367A-4B1C-A832-B133E4A43738 2 0.5948 0.42078 0.360 0.640 0.000
#> 8690FA0F-9C1C-4D97-813A-3FB56827FBFC 2 0.0000 0.98109 0.000 1.000 0.000
#> 9810CF0C-99D1-445B-B1F9-C956D2438495 3 0.6309 0.00882 0.000 0.496 0.504
#> 2F5073E1-9EDD-46B5-95E3-8314E2A5B620 1 0.0000 0.97235 1.000 0.000 0.000
#> B454F9FB-439A-43B5-877D-752D0F138AB5 2 0.0237 0.98006 0.000 0.996 0.004
#> 287F2B71-92F8-4D14-8249-C1BFBB254BE7 1 0.0000 0.97235 1.000 0.000 0.000
#> 52DC920F-0AD5-47CE-BD81-31843876B71E 1 0.0000 0.97235 1.000 0.000 0.000
#> 6BAC4B1B-C3FC-4A09-9821-232E510E6A47 1 0.0000 0.97235 1.000 0.000 0.000
#> A2B87EED-0D8E-4B20-85D3-FD9CC5E2E806 1 0.0000 0.97235 1.000 0.000 0.000
#> 43E6DB93-2DA6-4F0F-BF81-0C3869134D2B 1 0.0000 0.97235 1.000 0.000 0.000
#> 09A2ED74-A7C7-4DBB-8EDD-C80D0F0AEFDF 1 0.0000 0.97235 1.000 0.000 0.000
#> 35EDCB52-D4B5-4305-8A74-95EFE6F2BFB1 1 0.0000 0.97235 1.000 0.000 0.000
#> D5D18AF8-9CC2-496C-A83A-31BBA0195CFD 1 0.1163 0.94234 0.972 0.028 0.000
#> 03767EDF-2F8A-41DE-8D80-F4BE861225A3 1 0.0000 0.97235 1.000 0.000 0.000
#> 586BC656-AD9C-44EF-9ED4-87DEEB5C8AA6 1 0.0000 0.97235 1.000 0.000 0.000
#> 23CA1146-CB1B-4054-A4FF-200B87444BF9 1 0.0000 0.97235 1.000 0.000 0.000
#> 910E9B6D-E7D5-4C83-A19C-1EEA6E135639 1 0.5397 0.59144 0.720 0.280 0.000
#> F36353A3-6CE6-4347-A78B-0AAD8FAB14AD 1 0.0000 0.97235 1.000 0.000 0.000
#> 2045736E-7D0F-4B17-B74B-3B12AEE3E68C 1 0.0000 0.97235 1.000 0.000 0.000
#> 5EFA2C2D-30B3-4D66-9601-354711F9FC56 3 0.0000 0.97630 0.000 0.000 1.000
#> 3FBD381D-84C8-4680-980B-CC4B7924BE06 2 0.0000 0.98109 0.000 1.000 0.000
#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 2 0.0000 0.98109 0.000 1.000 0.000
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 1 0.0000 0.97235 1.000 0.000 0.000
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 2 0.0000 0.98109 0.000 1.000 0.000
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 2 0.0237 0.98006 0.000 0.996 0.004
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 1 0.0000 0.97235 1.000 0.000 0.000
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 2 0.0000 0.98109 0.000 1.000 0.000
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 2 0.0000 0.98109 0.000 1.000 0.000
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 1 0.0000 0.97235 1.000 0.000 0.000
#> A3343F40-F977-4F9B-856A-28781F10F4CD 2 0.0237 0.98006 0.000 0.996 0.004
#> DA144299-5541-47D7-A59E-C92896DF08FC 1 0.0000 0.97235 1.000 0.000 0.000
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 2 0.0237 0.98006 0.000 0.996 0.004
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.0000 0.97235 1.000 0.000 0.000
#> 617447CF-9327-4062-B22C-71A8944C948F 2 0.0237 0.98006 0.000 0.996 0.004
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0000 0.97235 1.000 0.000 0.000
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 2 0.0237 0.98006 0.000 0.996 0.004
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.0000 0.97235 1.000 0.000 0.000
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.0592 0.97467 0.000 0.988 0.012
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.0000 0.97235 1.000 0.000 0.000
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 3 0.0000 0.97630 0.000 0.000 1.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 2 0.0237 0.98006 0.000 0.996 0.004
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 3 0.6309 0.00882 0.000 0.496 0.504
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.0000 0.97235 1.000 0.000 0.000
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 1 0.0000 0.97235 1.000 0.000 0.000
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.0237 0.98006 0.000 0.996 0.004
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 1 0.0000 0.97235 1.000 0.000 0.000
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.0000 0.97235 1.000 0.000 0.000
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 2 0.2066 0.92670 0.000 0.940 0.060
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 2 0.0592 0.97467 0.000 0.988 0.012
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 1 0.0000 0.97235 1.000 0.000 0.000
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 1 0.0000 0.97235 1.000 0.000 0.000
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.0000 0.97235 1.000 0.000 0.000
#> DA1301D3-1F84-46C5-AB44-079493A81A51 1 0.0000 0.97235 1.000 0.000 0.000
#> A12B1681-B598-40C3-80FE-1801F3F1189D 1 0.0000 0.97235 1.000 0.000 0.000
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 2 0.0000 0.98109 0.000 1.000 0.000
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 2 0.0000 0.98109 0.000 1.000 0.000
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.0000 0.98109 0.000 1.000 0.000
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.0000 0.98109 0.000 1.000 0.000
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 1 0.0000 0.97235 1.000 0.000 0.000
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.0000 0.98109 0.000 1.000 0.000
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.0237 0.98006 0.000 0.996 0.004
#> 1D0379B1-0E99-4E6D-B890-907C92860654 2 0.0000 0.98109 0.000 1.000 0.000
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.0237 0.98006 0.000 0.996 0.004
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 2 0.0000 0.98109 0.000 1.000 0.000
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 2 0.0237 0.98006 0.000 0.996 0.004
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0000 0.97235 1.000 0.000 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.0237 0.98006 0.000 0.996 0.004
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.0000 0.97235 1.000 0.000 0.000
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.0000 0.98109 0.000 1.000 0.000
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0000 0.97235 1.000 0.000 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.0000 0.98109 0.000 1.000 0.000
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 1 0.0000 0.97235 1.000 0.000 0.000
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.0000 0.98109 0.000 1.000 0.000
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.0000 0.97235 1.000 0.000 0.000
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.0237 0.98006 0.000 0.996 0.004
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.97235 1.000 0.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.97235 1.000 0.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.0237 0.98006 0.000 0.996 0.004
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.0000 0.97235 1.000 0.000 0.000
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.0237 0.98006 0.000 0.996 0.004
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.97630 0.000 0.000 1.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 2 0.0592 0.97467 0.000 0.988 0.012
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 2 0.0592 0.97467 0.000 0.988 0.012
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 1 0.5560 0.55898 0.700 0.300 0.000
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.0000 0.98109 0.000 1.000 0.000
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.0237 0.98006 0.000 0.996 0.004
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.0237 0.98006 0.000 0.996 0.004
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.0000 0.98109 0.000 1.000 0.000
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.97235 1.000 0.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.97235 1.000 0.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.0000 0.97235 1.000 0.000 0.000
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0000 0.97235 1.000 0.000 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.0000 0.98109 0.000 1.000 0.000
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.0000 0.98109 0.000 1.000 0.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0000 0.97235 1.000 0.000 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.0237 0.98006 0.000 0.996 0.004
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.0000 0.97235 1.000 0.000 0.000
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.0000 0.97235 1.000 0.000 0.000
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.97630 0.000 0.000 1.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.0000 0.97235 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.73653 1.000 0.000 0.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.99630 0.000 0.000 1.000 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.4898 0.56779 0.584 0.000 0.000 0.416
#> 85252141-5469-4F68-8F3F-934F8B3277E5 4 0.4401 0.41842 0.272 0.004 0.000 0.724
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 4 0.4543 -0.02608 0.324 0.000 0.000 0.676
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.4761 0.60459 0.628 0.000 0.000 0.372
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 4 0.6742 0.47564 0.160 0.232 0.000 0.608
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 2 0.3801 0.71637 0.000 0.780 0.000 0.220
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.4855 0.57953 0.600 0.000 0.000 0.400
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 4 0.5650 0.50279 0.104 0.180 0.000 0.716
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 4 0.3710 0.42029 0.192 0.004 0.000 0.804
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 2 0.0000 0.95854 0.000 1.000 0.000 0.000
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.73653 1.000 0.000 0.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 2 0.0000 0.95854 0.000 1.000 0.000 0.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 4 0.6495 0.44419 0.108 0.284 0.000 0.608
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.0000 0.95854 0.000 1.000 0.000 0.000
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.2408 0.73425 0.896 0.000 0.000 0.104
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.73653 1.000 0.000 0.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 4 0.4661 0.08928 0.348 0.000 0.000 0.652
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.4164 0.68698 0.736 0.000 0.000 0.264
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 4 0.6621 0.47621 0.140 0.244 0.000 0.616
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.0000 0.95854 0.000 1.000 0.000 0.000
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 4 0.4967 0.03812 0.000 0.452 0.000 0.548
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0000 0.73653 1.000 0.000 0.000 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 2 0.0188 0.95689 0.000 0.996 0.000 0.004
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 1 0.4790 0.60417 0.620 0.000 0.000 0.380
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.0000 0.95854 0.000 1.000 0.000 0.000
#> 375FE390-434B-41D3-9029-84065B1D7B6F 2 0.0707 0.94481 0.000 0.980 0.000 0.020
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 0.73653 1.000 0.000 0.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.0000 0.95854 0.000 1.000 0.000 0.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.0000 0.95854 0.000 1.000 0.000 0.000
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.0000 0.95854 0.000 1.000 0.000 0.000
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.0000 0.95854 0.000 1.000 0.000 0.000
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 4 0.4941 -0.21054 0.436 0.000 0.000 0.564
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 2 0.0000 0.95854 0.000 1.000 0.000 0.000
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 2 0.0188 0.95689 0.000 0.996 0.000 0.004
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 4 0.4999 -0.37563 0.492 0.000 0.000 0.508
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0000 0.99630 0.000 0.000 1.000 0.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.3172 0.72056 0.840 0.000 0.000 0.160
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.0000 0.99630 0.000 0.000 1.000 0.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 2 0.4817 0.41758 0.000 0.612 0.000 0.388
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.0000 0.99630 0.000 0.000 1.000 0.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.0000 0.99630 0.000 0.000 1.000 0.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 4 0.4522 0.17253 0.320 0.000 0.000 0.680
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 4 0.6781 0.51005 0.212 0.180 0.000 0.608
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.1716 0.74191 0.936 0.000 0.000 0.064
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 2 0.0188 0.95689 0.000 0.996 0.000 0.004
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 4 0.4522 0.17253 0.320 0.000 0.000 0.680
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.4103 0.68983 0.744 0.000 0.000 0.256
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 2 0.2149 0.87927 0.000 0.912 0.000 0.088
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.0188 0.95689 0.000 0.996 0.000 0.004
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 4 0.6781 0.51005 0.212 0.180 0.000 0.608
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.0000 0.99630 0.000 0.000 1.000 0.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.4193 0.68168 0.732 0.000 0.000 0.268
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 2 0.0000 0.95854 0.000 1.000 0.000 0.000
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 2 0.0336 0.95423 0.000 0.992 0.000 0.008
#> 208165C0-229B-49E2-A22A-575CA3157C9E 2 0.0188 0.95689 0.000 0.996 0.000 0.004
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 1 0.5161 -0.06093 0.520 0.004 0.000 0.476
#> 01397021-8495-4D89-885A-166B4DBA0122 3 0.0000 0.99630 0.000 0.000 1.000 0.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 3 0.0000 0.99630 0.000 0.000 1.000 0.000
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#> EB1D52B2-17B3-491E-B484-1235633D6925 2 0.0188 0.95689 0.000 0.996 0.000 0.004
#> AE261B5D-3881-40B9-8EE7-26B950E0BE16 1 0.2408 0.73467 0.896 0.000 0.000 0.104
#> 8C9851D5-3091-4DE0-A59E-9122C0CA1CD2 2 0.0000 0.95854 0.000 1.000 0.000 0.000
#> C8180F95-4E9C-45DB-B959-B47F64167C2D 4 0.6704 0.45132 0.136 0.264 0.000 0.600
#> 552D3B42-8D22-4B64-B3A2-B3E5D51A8524 2 0.0000 0.95854 0.000 1.000 0.000 0.000
#> FED9F364-BC3F-4134-BF4B-4D24B0EB8315 4 0.4843 0.07455 0.396 0.000 0.000 0.604
#> 7B0D7792-C803-4DD0-B9BF-CB83DA2D199A 1 0.2530 0.73421 0.888 0.000 0.000 0.112
#> B4F82CBB-A47C-44C3-81AC-CF775FF06FCD 4 0.4843 -0.06410 0.396 0.000 0.000 0.604
#> BFAB10CF-5B24-40F7-92E7-C2E60DD779EF 4 0.4543 0.16594 0.324 0.000 0.000 0.676
#> E4E259E1-48B2-4C76-B113-E46270742F53 2 0.0000 0.95854 0.000 1.000 0.000 0.000
#> 81FCBC31-367A-4B1C-A832-B133E4A43738 4 0.6106 0.36115 0.064 0.332 0.000 0.604
#> 8690FA0F-9C1C-4D97-813A-3FB56827FBFC 2 0.0336 0.95423 0.000 0.992 0.000 0.008
#> 9810CF0C-99D1-445B-B1F9-C956D2438495 2 0.4985 0.13873 0.000 0.532 0.468 0.000
#> 2F5073E1-9EDD-46B5-95E3-8314E2A5B620 1 0.4933 0.52542 0.568 0.000 0.000 0.432
#> B454F9FB-439A-43B5-877D-752D0F138AB5 2 0.0000 0.95854 0.000 1.000 0.000 0.000
#> 287F2B71-92F8-4D14-8249-C1BFBB254BE7 1 0.2081 0.73706 0.916 0.000 0.000 0.084
#> 52DC920F-0AD5-47CE-BD81-31843876B71E 1 0.1792 0.74393 0.932 0.000 0.000 0.068
#> 6BAC4B1B-C3FC-4A09-9821-232E510E6A47 1 0.4661 0.62864 0.652 0.000 0.000 0.348
#> A2B87EED-0D8E-4B20-85D3-FD9CC5E2E806 1 0.1389 0.74450 0.952 0.000 0.000 0.048
#> 43E6DB93-2DA6-4F0F-BF81-0C3869134D2B 1 0.0000 0.73653 1.000 0.000 0.000 0.000
#> 09A2ED74-A7C7-4DBB-8EDD-C80D0F0AEFDF 1 0.4500 0.65401 0.684 0.000 0.000 0.316
#> 35EDCB52-D4B5-4305-8A74-95EFE6F2BFB1 4 0.4661 0.12844 0.348 0.000 0.000 0.652
#> D5D18AF8-9CC2-496C-A83A-31BBA0195CFD 4 0.4193 0.41625 0.268 0.000 0.000 0.732
#> 03767EDF-2F8A-41DE-8D80-F4BE861225A3 4 0.4522 0.17253 0.320 0.000 0.000 0.680
#> 586BC656-AD9C-44EF-9ED4-87DEEB5C8AA6 1 0.1792 0.74064 0.932 0.000 0.000 0.068
#> 23CA1146-CB1B-4054-A4FF-200B87444BF9 1 0.0000 0.73653 1.000 0.000 0.000 0.000
#> 910E9B6D-E7D5-4C83-A19C-1EEA6E135639 4 0.6781 0.51005 0.212 0.180 0.000 0.608
#> F36353A3-6CE6-4347-A78B-0AAD8FAB14AD 1 0.0000 0.73653 1.000 0.000 0.000 0.000
#> 2045736E-7D0F-4B17-B74B-3B12AEE3E68C 1 0.0000 0.73653 1.000 0.000 0.000 0.000
#> 5EFA2C2D-30B3-4D66-9601-354711F9FC56 3 0.0000 0.99630 0.000 0.000 1.000 0.000
#> 3FBD381D-84C8-4680-980B-CC4B7924BE06 2 0.0000 0.95854 0.000 1.000 0.000 0.000
#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 2 0.3444 0.76622 0.000 0.816 0.000 0.184
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 1 0.4866 0.57421 0.596 0.000 0.000 0.404
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 2 0.0000 0.95854 0.000 1.000 0.000 0.000
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 2 0.0000 0.95854 0.000 1.000 0.000 0.000
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 1 0.4967 0.46079 0.548 0.000 0.000 0.452
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 2 0.0000 0.95854 0.000 1.000 0.000 0.000
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 2 0.4925 0.32142 0.000 0.572 0.000 0.428
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 4 0.4817 0.10598 0.388 0.000 0.000 0.612
#> A3343F40-F977-4F9B-856A-28781F10F4CD 2 0.0000 0.95854 0.000 1.000 0.000 0.000
#> DA144299-5541-47D7-A59E-C92896DF08FC 4 0.4222 0.33975 0.272 0.000 0.000 0.728
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 2 0.0000 0.95854 0.000 1.000 0.000 0.000
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.0000 0.73653 1.000 0.000 0.000 0.000
#> 617447CF-9327-4062-B22C-71A8944C948F 2 0.0000 0.95854 0.000 1.000 0.000 0.000
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0000 0.73653 1.000 0.000 0.000 0.000
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 2 0.0000 0.95854 0.000 1.000 0.000 0.000
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.3074 0.71085 0.848 0.000 0.000 0.152
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.0000 0.95854 0.000 1.000 0.000 0.000
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.3801 0.70681 0.780 0.000 0.000 0.220
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 3 0.0000 0.99630 0.000 0.000 1.000 0.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 2 0.0000 0.95854 0.000 1.000 0.000 0.000
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 2 0.4985 0.13873 0.000 0.532 0.468 0.000
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.2760 0.72657 0.872 0.000 0.000 0.128
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 4 0.4522 0.17253 0.320 0.000 0.000 0.680
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.0000 0.95854 0.000 1.000 0.000 0.000
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 1 0.4713 0.61907 0.640 0.000 0.000 0.360
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.0000 0.73653 1.000 0.000 0.000 0.000
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 2 0.0469 0.94884 0.000 0.988 0.012 0.000
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 2 0.0000 0.95854 0.000 1.000 0.000 0.000
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 1 0.4866 0.57421 0.596 0.000 0.000 0.404
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 4 0.4522 0.17253 0.320 0.000 0.000 0.680
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.0336 0.73883 0.992 0.000 0.000 0.008
#> DA1301D3-1F84-46C5-AB44-079493A81A51 1 0.4907 0.55515 0.580 0.000 0.000 0.420
#> A12B1681-B598-40C3-80FE-1801F3F1189D 1 0.4790 0.60717 0.620 0.000 0.000 0.380
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 2 0.0707 0.94464 0.000 0.980 0.000 0.020
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 4 0.6785 0.50821 0.208 0.184 0.000 0.608
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.0000 0.95854 0.000 1.000 0.000 0.000
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.4624 0.50572 0.000 0.660 0.000 0.340
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 1 0.4866 0.57421 0.596 0.000 0.000 0.404
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.0000 0.95854 0.000 1.000 0.000 0.000
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.0000 0.95854 0.000 1.000 0.000 0.000
#> 1D0379B1-0E99-4E6D-B890-907C92860654 2 0.4977 0.21088 0.000 0.540 0.000 0.460
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.0000 0.95854 0.000 1.000 0.000 0.000
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 2 0.4522 0.55569 0.000 0.680 0.000 0.320
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 2 0.4776 0.44418 0.000 0.624 0.000 0.376
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0000 0.73653 1.000 0.000 0.000 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.0000 0.95854 0.000 1.000 0.000 0.000
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.4790 0.60079 0.620 0.000 0.000 0.380
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.0188 0.95689 0.000 0.996 0.000 0.004
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.4277 0.67465 0.720 0.000 0.000 0.280
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.0000 0.95854 0.000 1.000 0.000 0.000
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 4 0.4522 0.17253 0.320 0.000 0.000 0.680
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.0000 0.95854 0.000 1.000 0.000 0.000
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.4643 0.63063 0.656 0.000 0.000 0.344
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.0000 0.95854 0.000 1.000 0.000 0.000
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.73653 1.000 0.000 0.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.73653 1.000 0.000 0.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.0000 0.95854 0.000 1.000 0.000 0.000
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 4 0.4933 0.03300 0.432 0.000 0.000 0.568
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.0000 0.95854 0.000 1.000 0.000 0.000
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.99630 0.000 0.000 1.000 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 2 0.0000 0.95854 0.000 1.000 0.000 0.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 2 0.0000 0.95854 0.000 1.000 0.000 0.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 4 0.6781 0.51005 0.212 0.180 0.000 0.608
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.0000 0.95854 0.000 1.000 0.000 0.000
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.0000 0.95854 0.000 1.000 0.000 0.000
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.0000 0.95854 0.000 1.000 0.000 0.000
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.0188 0.95689 0.000 0.996 0.000 0.004
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.73653 1.000 0.000 0.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.73653 1.000 0.000 0.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.4543 0.64762 0.676 0.000 0.000 0.324
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.3444 0.72206 0.816 0.000 0.000 0.184
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.0000 0.95854 0.000 1.000 0.000 0.000
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.0000 0.95854 0.000 1.000 0.000 0.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0592 0.74001 0.984 0.000 0.000 0.016
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.0000 0.95854 0.000 1.000 0.000 0.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.4072 0.69197 0.748 0.000 0.000 0.252
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.4679 0.62643 0.648 0.000 0.000 0.352
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.99630 0.000 0.000 1.000 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.4843 0.58370 0.604 0.000 0.000 0.396
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0703 0.829069 0.976 0.000 0.000 0.000 0.024
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.993728 0.000 0.000 1.000 0.000 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 5 0.2516 0.827999 0.140 0.000 0.000 0.000 0.860
#> 85252141-5469-4F68-8F3F-934F8B3277E5 4 0.6318 -0.067307 0.428 0.008 0.000 0.444 0.120
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 5 0.1792 0.847141 0.084 0.000 0.000 0.000 0.916
#> 1B76089D-785F-4353-A898-4E632023D482 5 0.2230 0.837727 0.116 0.000 0.000 0.000 0.884
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 4 0.6313 0.406538 0.028 0.368 0.000 0.520 0.084
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 4 0.4967 0.335710 0.020 0.464 0.000 0.512 0.004
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 5 0.2773 0.808534 0.164 0.000 0.000 0.000 0.836
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 1 0.6728 0.120918 0.380 0.000 0.000 0.368 0.252
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.6569 0.314307 0.464 0.000 0.000 0.304 0.232
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 2 0.0703 0.594015 0.000 0.976 0.000 0.024 0.000
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0609 0.828770 0.980 0.000 0.000 0.000 0.020
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 2 0.0404 0.591834 0.000 0.988 0.000 0.012 0.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 4 0.6775 0.417750 0.056 0.340 0.000 0.512 0.092
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.0290 0.597060 0.000 0.992 0.000 0.008 0.000
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.2179 0.797358 0.888 0.000 0.000 0.000 0.112
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0609 0.828770 0.980 0.000 0.000 0.000 0.020
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 5 0.1484 0.847245 0.048 0.000 0.000 0.008 0.944
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.4045 0.439920 0.644 0.000 0.000 0.000 0.356
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 4 0.6603 0.117245 0.368 0.040 0.000 0.500 0.092
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.1197 0.602375 0.000 0.952 0.000 0.048 0.000
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 4 0.5530 0.387087 0.020 0.420 0.000 0.528 0.032
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0703 0.829069 0.976 0.000 0.000 0.000 0.024
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 4 0.3774 -0.173567 0.000 0.296 0.000 0.704 0.000
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 5 0.2230 0.837967 0.116 0.000 0.000 0.000 0.884
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.4278 0.540047 0.000 0.548 0.000 0.452 0.000
#> 375FE390-434B-41D3-9029-84065B1D7B6F 2 0.5051 -0.025507 0.024 0.492 0.000 0.480 0.004
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0703 0.829069 0.976 0.000 0.000 0.000 0.024
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.1608 0.602805 0.000 0.928 0.000 0.072 0.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.0703 0.587068 0.000 0.976 0.000 0.024 0.000
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.4302 0.523099 0.000 0.520 0.000 0.480 0.000
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.4304 0.520817 0.000 0.516 0.000 0.484 0.000
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 5 0.0880 0.845234 0.032 0.000 0.000 0.000 0.968
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 2 0.0290 0.597963 0.000 0.992 0.000 0.008 0.000
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 2 0.4305 0.196034 0.000 0.512 0.000 0.488 0.000
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 5 0.1544 0.848366 0.068 0.000 0.000 0.000 0.932
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0000 0.993728 0.000 0.000 1.000 0.000 0.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.4219 0.306402 0.584 0.000 0.000 0.000 0.416
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.0000 0.993728 0.000 0.000 1.000 0.000 0.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 4 0.4949 0.364007 0.020 0.444 0.000 0.532 0.004
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.0000 0.993728 0.000 0.000 1.000 0.000 0.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.0000 0.993728 0.000 0.000 1.000 0.000 0.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 5 0.0290 0.832259 0.000 0.000 0.000 0.008 0.992
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 4 0.6139 -0.016578 0.424 0.008 0.000 0.468 0.100
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.1965 0.807804 0.904 0.000 0.000 0.000 0.096
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#> B6428D53-EA3B-41A1-9092-3B47BF9F6089 5 0.2984 0.797024 0.108 0.000 0.000 0.032 0.860
#> 726D44D6-0732-44EA-B911-A5A1F0A758CF 5 0.4473 0.605737 0.324 0.000 0.000 0.020 0.656
#> E9FDE3D9-2845-4737-8957-BF36D7B39464 1 0.6001 0.484719 0.580 0.000 0.000 0.244 0.176
#> A70A345C-7683-4176-869B-8EDEFD966C1B 1 0.0609 0.828770 0.980 0.000 0.000 0.000 0.020
#> AB1C8455-7C2F-4154-95EF-B23EB5FD405A 2 0.1270 0.556420 0.000 0.948 0.000 0.052 0.000
#> 052F9CFB-8816-4A1D-B3C2-6A50168F7299 1 0.0609 0.828770 0.980 0.000 0.000 0.000 0.020
#> A821C6AB-91E5-4A72-8F3F-5D628FA351F0 3 0.0000 0.993728 0.000 0.000 1.000 0.000 0.000
#> 1D7F357E-0075-4AFA-BFCB-0297B90800F1 2 0.4182 0.558107 0.000 0.600 0.000 0.400 0.000
#> 5984264D-BD86-4D2F-8718-7DCAE974F50B 4 0.6307 0.012068 0.388 0.004 0.000 0.472 0.136
#> F24CC083-662D-457C-9BEC-3B68D63236AE 4 0.4306 -0.505668 0.000 0.492 0.000 0.508 0.000
#> 48350BD7-9F6E-4DB5-B34A-F47B0BA74EF6 2 0.4268 0.538830 0.000 0.556 0.000 0.444 0.000
#> 94523D56-65BB-4860-9B7F-5859F5C82C05 3 0.0000 0.993728 0.000 0.000 1.000 0.000 0.000
#> CED33410-C7DE-43CC-941A-7652B200E5BB 2 0.4278 0.539843 0.000 0.548 0.000 0.452 0.000
#> 7E122E61-7895-4322-97BE-ABC29D7B7EA9 3 0.0000 0.993728 0.000 0.000 1.000 0.000 0.000
#> 60506411-6B29-49B4-9183-F54EE8B02CC4 5 0.5382 0.472456 0.336 0.000 0.000 0.072 0.592
#> ED52DF66-827A-4A8C-8E50-03C85FA04508 5 0.4851 0.504134 0.340 0.000 0.000 0.036 0.624
#> AB3B48ED-CFF9-4D66-BF3A-E9267D57BA14 4 0.4287 -0.462343 0.000 0.460 0.000 0.540 0.000
#> 248A7931-1EB5-47E3-A966-E6AF62E21FC1 3 0.0000 0.993728 0.000 0.000 1.000 0.000 0.000
#> CB846F43-7719-4B7E-946B-32E6384F3CC4 5 0.0404 0.831362 0.000 0.000 0.000 0.012 0.988
#> 940E691A-04A2-410F-B1FB-A66A3BFE10E7 3 0.0000 0.993728 0.000 0.000 1.000 0.000 0.000
#> C3842EA2-E3BC-48DE-9B59-92145AC2F716 3 0.0000 0.993728 0.000 0.000 1.000 0.000 0.000
#> 497FB1B2-A998-44F3-8D69-6974314F941D 4 0.5128 0.381002 0.020 0.420 0.000 0.548 0.012
#> 4BAA88D6-4A88-4D54-9B0E-83365CC85C39 5 0.0290 0.832259 0.000 0.000 0.000 0.008 0.992
#> 7480A3B3-3BF8-4123-8E2E-8C2B52688EC6 2 0.4182 0.555101 0.000 0.600 0.000 0.400 0.000
#> AE3211D1-65C0-46B1-A67F-741C21A7D1C4 4 0.4302 -0.489091 0.000 0.480 0.000 0.520 0.000
#> D7244456-CB99-4893-85FE-65082CC4F17C 2 0.4283 0.535716 0.000 0.544 0.000 0.456 0.000
#> C4E0F193-49DC-4A49-84BB-337AAF277145 5 0.1965 0.843367 0.096 0.000 0.000 0.000 0.904
#> E2DF7E97-6BE1-412C-B71D-151B87739653 4 0.3796 -0.180913 0.000 0.300 0.000 0.700 0.000
#> 022BCEE2-4794-4D5D-87E5-22CD25FDBA98 2 0.0162 0.595764 0.000 0.996 0.000 0.004 0.000
#> 2AF33CEA-C327-4A31-84D8-C4F26E8A3ECF 4 0.6391 0.020822 0.408 0.020 0.000 0.472 0.100
#> E877B9C0-11C5-4CC8-BAE1-AC210535F3DB 4 0.6143 -0.034103 0.432 0.008 0.000 0.460 0.100
#> 0E737E9F-1045-4B86-A290-ED927D5DE7BF 2 0.4302 0.523099 0.000 0.520 0.000 0.480 0.000
#> D1B88E26-3B64-4E1A-8E50-22AD100BD9F9 2 0.4307 -0.296537 0.000 0.504 0.000 0.496 0.000
#> 3AEB8943-FE34-4014-B851-BBF83857A794 4 0.4161 -0.224864 0.000 0.392 0.000 0.608 0.000
#> BECD727E-E3C1-4C42-9047-D97B7444B20B 2 0.3707 0.320062 0.000 0.716 0.000 0.284 0.000
#> AF866E63-9EA1-4669-B9C4-FC7E877334AE 2 0.4304 0.520817 0.000 0.516 0.000 0.484 0.000
#> F9C8E54A-4CE4-4839-B0CA-58678461EEF1 2 0.0703 0.583807 0.000 0.976 0.000 0.024 0.000
#> AE818BC4-05BF-4E85-A4AD-F3E43DD7D37A 2 0.0000 0.597002 0.000 1.000 0.000 0.000 0.000
#> BA73A860-CADE-408D-8D27-14EADA2B53B0 4 0.6144 -0.045971 0.436 0.008 0.000 0.456 0.100
#> 688858C8-48CA-43E9-AE2C-B9D4F80B5EE9 2 0.4300 0.526697 0.000 0.524 0.000 0.476 0.000
#> EB1D52B2-17B3-491E-B484-1235633D6925 4 0.3876 -0.211913 0.000 0.316 0.000 0.684 0.000
#> AE261B5D-3881-40B9-8EE7-26B950E0BE16 1 0.4021 0.701331 0.764 0.000 0.000 0.036 0.200
#> 8C9851D5-3091-4DE0-A59E-9122C0CA1CD2 2 0.0510 0.587072 0.000 0.984 0.000 0.016 0.000
#> C8180F95-4E9C-45DB-B959-B47F64167C2D 4 0.6008 0.398863 0.020 0.388 0.000 0.524 0.068
#> 552D3B42-8D22-4B64-B3A2-B3E5D51A8524 2 0.4268 0.543486 0.000 0.556 0.000 0.444 0.000
#> FED9F364-BC3F-4134-BF4B-4D24B0EB8315 5 0.3695 0.716755 0.164 0.000 0.000 0.036 0.800
#> 7B0D7792-C803-4DD0-B9BF-CB83DA2D199A 1 0.2605 0.769015 0.852 0.000 0.000 0.000 0.148
#> B4F82CBB-A47C-44C3-81AC-CF775FF06FCD 5 0.1270 0.846029 0.052 0.000 0.000 0.000 0.948
#> BFAB10CF-5B24-40F7-92E7-C2E60DD779EF 5 0.0290 0.832259 0.000 0.000 0.000 0.008 0.992
#> E4E259E1-48B2-4C76-B113-E46270742F53 2 0.4302 0.523099 0.000 0.520 0.000 0.480 0.000
#> 81FCBC31-367A-4B1C-A832-B133E4A43738 4 0.6255 0.170250 0.356 0.044 0.000 0.540 0.060
#> 8690FA0F-9C1C-4D97-813A-3FB56827FBFC 2 0.3876 0.135175 0.000 0.684 0.000 0.316 0.000
#> 9810CF0C-99D1-445B-B1F9-C956D2438495 2 0.4509 0.313329 0.000 0.716 0.236 0.048 0.000
#> 2F5073E1-9EDD-46B5-95E3-8314E2A5B620 5 0.2017 0.847329 0.080 0.000 0.000 0.008 0.912
#> B454F9FB-439A-43B5-877D-752D0F138AB5 2 0.3039 0.594021 0.000 0.808 0.000 0.192 0.000
#> 287F2B71-92F8-4D14-8249-C1BFBB254BE7 1 0.1792 0.813599 0.916 0.000 0.000 0.000 0.084
#> 52DC920F-0AD5-47CE-BD81-31843876B71E 1 0.4030 0.451865 0.648 0.000 0.000 0.000 0.352
#> 6BAC4B1B-C3FC-4A09-9821-232E510E6A47 5 0.2929 0.801404 0.180 0.000 0.000 0.000 0.820
#> A2B87EED-0D8E-4B20-85D3-FD9CC5E2E806 1 0.1608 0.816095 0.928 0.000 0.000 0.000 0.072
#> 43E6DB93-2DA6-4F0F-BF81-0C3869134D2B 1 0.0609 0.828770 0.980 0.000 0.000 0.000 0.020
#> 09A2ED74-A7C7-4DBB-8EDD-C80D0F0AEFDF 5 0.3837 0.637339 0.308 0.000 0.000 0.000 0.692
#> 35EDCB52-D4B5-4305-8A74-95EFE6F2BFB1 5 0.0671 0.835775 0.016 0.000 0.000 0.004 0.980
#> D5D18AF8-9CC2-496C-A83A-31BBA0195CFD 4 0.6413 -0.089341 0.412 0.004 0.000 0.436 0.148
#> 03767EDF-2F8A-41DE-8D80-F4BE861225A3 5 0.0880 0.827336 0.000 0.000 0.000 0.032 0.968
#> 586BC656-AD9C-44EF-9ED4-87DEEB5C8AA6 1 0.2377 0.780272 0.872 0.000 0.000 0.000 0.128
#> 23CA1146-CB1B-4054-A4FF-200B87444BF9 1 0.0609 0.828770 0.980 0.000 0.000 0.000 0.020
#> 910E9B6D-E7D5-4C83-A19C-1EEA6E135639 4 0.6357 -0.046525 0.412 0.004 0.000 0.444 0.140
#> F36353A3-6CE6-4347-A78B-0AAD8FAB14AD 1 0.0609 0.828770 0.980 0.000 0.000 0.000 0.020
#> 2045736E-7D0F-4B17-B74B-3B12AEE3E68C 1 0.0609 0.828770 0.980 0.000 0.000 0.000 0.020
#> 5EFA2C2D-30B3-4D66-9601-354711F9FC56 3 0.0000 0.993728 0.000 0.000 1.000 0.000 0.000
#> 3FBD381D-84C8-4680-980B-CC4B7924BE06 2 0.4268 0.543411 0.000 0.556 0.000 0.444 0.000
#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 4 0.5151 0.344300 0.024 0.456 0.000 0.512 0.008
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 5 0.1608 0.845160 0.072 0.000 0.000 0.000 0.928
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 2 0.4015 0.565627 0.000 0.652 0.000 0.348 0.000
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 2 0.0794 0.578150 0.000 0.972 0.000 0.028 0.000
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 5 0.4973 0.460132 0.320 0.000 0.000 0.048 0.632
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 2 0.4302 0.523099 0.000 0.520 0.000 0.480 0.000
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 4 0.4528 0.360552 0.008 0.444 0.000 0.548 0.000
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 1 0.6188 0.344729 0.524 0.000 0.000 0.160 0.316
#> A3343F40-F977-4F9B-856A-28781F10F4CD 2 0.0162 0.594891 0.000 0.996 0.000 0.004 0.000
#> DA144299-5541-47D7-A59E-C92896DF08FC 1 0.6318 0.201839 0.444 0.000 0.000 0.156 0.400
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 2 0.3837 0.576030 0.000 0.692 0.000 0.308 0.000
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.0609 0.828770 0.980 0.000 0.000 0.000 0.020
#> 617447CF-9327-4062-B22C-71A8944C948F 2 0.4305 0.502119 0.000 0.512 0.000 0.488 0.000
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0609 0.828770 0.980 0.000 0.000 0.000 0.020
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 2 0.1043 0.577607 0.000 0.960 0.000 0.040 0.000
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.2929 0.763004 0.840 0.000 0.000 0.008 0.152
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.0290 0.593351 0.000 0.992 0.000 0.008 0.000
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.4074 0.400221 0.636 0.000 0.000 0.000 0.364
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 3 0.0000 0.993728 0.000 0.000 1.000 0.000 0.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 2 0.0703 0.581534 0.000 0.976 0.000 0.024 0.000
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 2 0.4509 0.313329 0.000 0.716 0.236 0.048 0.000
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.2966 0.741972 0.816 0.000 0.000 0.000 0.184
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 5 0.0703 0.829357 0.000 0.000 0.000 0.024 0.976
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.4101 0.561313 0.000 0.628 0.000 0.372 0.000
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 5 0.2329 0.835697 0.124 0.000 0.000 0.000 0.876
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.1197 0.825693 0.952 0.000 0.000 0.000 0.048
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 2 0.1041 0.573932 0.000 0.964 0.004 0.032 0.000
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 2 0.0703 0.583807 0.000 0.976 0.000 0.024 0.000
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 5 0.1851 0.846067 0.088 0.000 0.000 0.000 0.912
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 5 0.0703 0.828311 0.000 0.000 0.000 0.024 0.976
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.1410 0.821482 0.940 0.000 0.000 0.000 0.060
#> DA1301D3-1F84-46C5-AB44-079493A81A51 5 0.1502 0.846341 0.056 0.000 0.000 0.004 0.940
#> A12B1681-B598-40C3-80FE-1801F3F1189D 5 0.3649 0.805834 0.152 0.000 0.000 0.040 0.808
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 4 0.4414 -0.033670 0.004 0.376 0.000 0.616 0.004
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 4 0.7270 0.429980 0.108 0.292 0.000 0.504 0.096
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.4300 0.525824 0.000 0.524 0.000 0.476 0.000
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 4 0.5337 0.365371 0.020 0.448 0.000 0.512 0.020
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 5 0.1608 0.845160 0.072 0.000 0.000 0.000 0.928
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.1043 0.574189 0.000 0.960 0.000 0.040 0.000
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.0162 0.595764 0.000 0.996 0.000 0.004 0.000
#> 1D0379B1-0E99-4E6D-B890-907C92860654 4 0.5603 0.387183 0.020 0.424 0.000 0.520 0.036
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.4273 0.541274 0.000 0.552 0.000 0.448 0.000
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 4 0.4954 0.343808 0.020 0.448 0.000 0.528 0.004
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 4 0.4798 0.358866 0.020 0.440 0.000 0.540 0.000
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0963 0.828220 0.964 0.000 0.000 0.000 0.036
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.3366 0.590200 0.000 0.768 0.000 0.232 0.000
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 5 0.2605 0.824460 0.148 0.000 0.000 0.000 0.852
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.2377 0.508206 0.000 0.872 0.000 0.128 0.000
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 5 0.4182 0.432490 0.400 0.000 0.000 0.000 0.600
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.4273 0.541940 0.000 0.552 0.000 0.448 0.000
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 5 0.0290 0.832259 0.000 0.000 0.000 0.008 0.992
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.4273 0.541940 0.000 0.552 0.000 0.448 0.000
#> AC376BBB-667B-4469-B567-9BE18DE0F811 5 0.2690 0.818666 0.156 0.000 0.000 0.000 0.844
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.0290 0.593060 0.000 0.992 0.000 0.008 0.000
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0703 0.829069 0.976 0.000 0.000 0.000 0.024
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0609 0.828770 0.980 0.000 0.000 0.000 0.020
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.0794 0.599220 0.000 0.972 0.000 0.028 0.000
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 5 0.4665 0.660243 0.148 0.000 0.000 0.112 0.740
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.4297 0.522000 0.000 0.528 0.000 0.472 0.000
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.993728 0.000 0.000 1.000 0.000 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 2 0.0162 0.595764 0.000 0.996 0.000 0.004 0.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 2 0.0963 0.572866 0.000 0.964 0.000 0.036 0.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 4 0.6143 -0.034103 0.432 0.008 0.000 0.460 0.100
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.4302 0.523099 0.000 0.520 0.000 0.480 0.000
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.0880 0.574252 0.000 0.968 0.000 0.032 0.000
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.0000 0.597002 0.000 1.000 0.000 0.000 0.000
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 4 0.4201 -0.280878 0.000 0.408 0.000 0.592 0.000
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0609 0.828770 0.980 0.000 0.000 0.000 0.020
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0703 0.829069 0.976 0.000 0.000 0.000 0.024
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 5 0.3661 0.686904 0.276 0.000 0.000 0.000 0.724
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.2966 0.735496 0.816 0.000 0.000 0.000 0.184
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.4302 0.523099 0.000 0.520 0.000 0.480 0.000
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.4302 0.523099 0.000 0.520 0.000 0.480 0.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.2074 0.806994 0.896 0.000 0.000 0.000 0.104
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.4287 0.535584 0.000 0.540 0.000 0.460 0.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 5 0.4210 0.411512 0.412 0.000 0.000 0.000 0.588
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 5 0.3074 0.786513 0.196 0.000 0.000 0.000 0.804
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.993728 0.000 0.000 1.000 0.000 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 5 0.1908 0.844795 0.092 0.000 0.000 0.000 0.908
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.90193 1.000 0.000 0.000 0.000 0.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.98682 0.000 0.000 1.000 0.000 0.000 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 5 0.1956 0.83391 0.080 0.000 0.000 0.004 0.908 0.008
#> 85252141-5469-4F68-8F3F-934F8B3277E5 4 0.3324 0.70715 0.084 0.000 0.000 0.832 0.076 0.008
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 5 0.1845 0.83571 0.072 0.000 0.000 0.004 0.916 0.008
#> 1B76089D-785F-4353-A898-4E632023D482 5 0.3273 0.82452 0.036 0.000 0.000 0.072 0.848 0.044
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 4 0.2001 0.70210 0.000 0.068 0.000 0.912 0.012 0.008
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 4 0.5748 0.22527 0.000 0.176 0.000 0.464 0.000 0.360
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 5 0.1812 0.83841 0.080 0.000 0.000 0.008 0.912 0.000
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 4 0.4741 0.61862 0.156 0.000 0.000 0.700 0.136 0.008
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 4 0.5048 0.57737 0.192 0.000 0.000 0.672 0.120 0.016
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 2 0.2851 0.68318 0.000 0.844 0.020 0.004 0.000 0.132
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.90193 1.000 0.000 0.000 0.000 0.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 2 0.0405 0.73627 0.000 0.988 0.000 0.008 0.000 0.004
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 4 0.2731 0.70210 0.000 0.068 0.000 0.876 0.012 0.044
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.0603 0.73825 0.000 0.980 0.000 0.016 0.000 0.004
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.1471 0.87793 0.932 0.000 0.000 0.000 0.064 0.004
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.90193 1.000 0.000 0.000 0.000 0.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 5 0.1332 0.83559 0.028 0.000 0.000 0.008 0.952 0.012
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.5309 0.06838 0.512 0.000 0.000 0.024 0.412 0.052
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 4 0.4762 0.70322 0.104 0.004 0.000 0.748 0.068 0.076
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.0363 0.73546 0.000 0.988 0.000 0.000 0.000 0.012
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 4 0.3962 0.64227 0.000 0.120 0.000 0.764 0.000 0.116
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0000 0.90193 1.000 0.000 0.000 0.000 0.000 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 6 0.2568 0.65406 0.000 0.056 0.000 0.068 0.000 0.876
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 5 0.1900 0.83684 0.068 0.000 0.000 0.008 0.916 0.008
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 6 0.4481 0.56484 0.000 0.296 0.000 0.056 0.000 0.648
#> 375FE390-434B-41D3-9029-84065B1D7B6F 6 0.5271 0.31729 0.000 0.132 0.000 0.292 0.000 0.576
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 0.90193 1.000 0.000 0.000 0.000 0.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.0972 0.72629 0.000 0.964 0.000 0.008 0.000 0.028
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.2672 0.70196 0.000 0.868 0.000 0.052 0.000 0.080
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 6 0.3795 0.50892 0.000 0.364 0.000 0.004 0.000 0.632
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 6 0.3360 0.60704 0.000 0.264 0.000 0.004 0.000 0.732
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 5 0.2507 0.82285 0.004 0.000 0.000 0.072 0.884 0.040
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 2 0.0713 0.73719 0.000 0.972 0.000 0.000 0.000 0.028
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 6 0.5150 0.53293 0.000 0.188 0.000 0.188 0.000 0.624
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 5 0.2687 0.82244 0.008 0.000 0.000 0.072 0.876 0.044
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0000 0.98682 0.000 0.000 1.000 0.000 0.000 0.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 5 0.5857 0.35143 0.380 0.000 0.000 0.072 0.500 0.048
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.0000 0.98682 0.000 0.000 1.000 0.000 0.000 0.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 4 0.5756 0.39930 0.000 0.272 0.000 0.508 0.000 0.220
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.0000 0.98682 0.000 0.000 1.000 0.000 0.000 0.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.0000 0.98682 0.000 0.000 1.000 0.000 0.000 0.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 5 0.2563 0.82321 0.000 0.000 0.000 0.072 0.876 0.052
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 4 0.2209 0.72163 0.072 0.000 0.000 0.900 0.024 0.004
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.1327 0.87757 0.936 0.000 0.000 0.000 0.064 0.000
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 2 0.5680 -0.07109 0.000 0.432 0.000 0.156 0.000 0.412
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 5 0.0692 0.82642 0.000 0.000 0.000 0.004 0.976 0.020
#> 8854A877-96C1-441F-9B58-143641CCBB43 5 0.4707 0.48056 0.368 0.000 0.000 0.012 0.588 0.032
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 6 0.5025 0.24156 0.000 0.084 0.000 0.356 0.000 0.560
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.5607 0.24924 0.000 0.532 0.000 0.184 0.000 0.284
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 4 0.2209 0.72163 0.072 0.000 0.000 0.900 0.024 0.004
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.0000 0.98682 0.000 0.000 1.000 0.000 0.000 0.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.4973 0.59318 0.672 0.000 0.000 0.048 0.236 0.044
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 6 0.1858 0.66747 0.000 0.092 0.000 0.004 0.000 0.904
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 2 0.5743 -0.06782 0.000 0.428 0.000 0.168 0.000 0.404
#> 208165C0-229B-49E2-A22A-575CA3157C9E 6 0.3078 0.64859 0.000 0.056 0.000 0.108 0.000 0.836
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 4 0.5889 0.42113 0.184 0.000 0.000 0.560 0.236 0.020
#> 01397021-8495-4D89-885A-166B4DBA0122 3 0.0000 0.98682 0.000 0.000 1.000 0.000 0.000 0.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 3 0.0000 0.98682 0.000 0.000 1.000 0.000 0.000 0.000
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.4139 0.69392 0.744 0.000 0.000 0.024 0.200 0.032
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 2 0.6003 0.10234 0.000 0.432 0.000 0.308 0.000 0.260
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 2 0.1141 0.73426 0.000 0.948 0.000 0.000 0.000 0.052
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 2 0.3084 0.70302 0.000 0.860 0.028 0.056 0.000 0.056
#> AA569A06-0F37-4492-93F3-60A4539A3E82 6 0.4904 0.53910 0.000 0.316 0.000 0.084 0.000 0.600
#> BC53FB75-94CA-48C3-875B-5987037D186F 6 0.3841 0.48703 0.000 0.380 0.000 0.004 0.000 0.616
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 1 0.1807 0.87765 0.920 0.000 0.000 0.000 0.060 0.020
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 6 0.3841 0.48750 0.000 0.380 0.000 0.004 0.000 0.616
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 2 0.5249 0.15783 0.000 0.528 0.000 0.104 0.000 0.368
#> DF67F589-A607-4B95-96B8-4BB344132312 2 0.3325 0.66555 0.000 0.820 0.000 0.096 0.000 0.084
#> A65233E6-C146-4ACF-8DDE-5FB12D8D9637 3 0.0000 0.98682 0.000 0.000 1.000 0.000 0.000 0.000
#> 7578C9A3-FFF8-45C4-AC28-1C6141A9A2AD 1 0.1387 0.87513 0.932 0.000 0.000 0.000 0.068 0.000
#> 4DF775B9-E2FE-4F5E-8329-C37E21C5D10E 5 0.0603 0.82739 0.000 0.000 0.000 0.004 0.980 0.016
#> 5E6B86C6-3D79-47BB-9FAF-CA22659CFEA7 5 0.2294 0.83424 0.076 0.000 0.000 0.020 0.896 0.008
#> 53286128-668B-47EA-9A5F-D768FDCCBE88 1 0.4456 0.55438 0.676 0.000 0.000 0.276 0.028 0.020
#> 01C9F351-97FE-4037-A879-9D96A3DD3FBB 2 0.0547 0.73753 0.000 0.980 0.000 0.000 0.000 0.020
#> 5487DB21-6A58-46AC-A2A1-E343082D41D8 5 0.3048 0.82584 0.024 0.000 0.000 0.072 0.860 0.044
#> 0FB3E997-4E31-4FA6-9654-11C3C0AF8D86 2 0.4850 -0.26873 0.000 0.496 0.000 0.056 0.000 0.448
#> A0706E80-FDF9-4721-BEB4-90527F6D38C4 2 0.0622 0.73798 0.000 0.980 0.000 0.012 0.000 0.008
#> 5260226E-1826-4F54-8237-28993DD2EF04 3 0.0000 0.98682 0.000 0.000 1.000 0.000 0.000 0.000
#> F53F71A7-A399-49AB-8657-019C5C56F48C 6 0.1858 0.66788 0.000 0.076 0.000 0.012 0.000 0.912
#> 008159F2-5247-479A-8BFE-C394888D0B74 4 0.6120 0.08866 0.000 0.344 0.000 0.352 0.000 0.304
#> 9E6BA6FB-35F2-4510-94AE-3E7CDFED3D47 3 0.0000 0.98682 0.000 0.000 1.000 0.000 0.000 0.000
#> F12BE7AC-D2DD-4AD1-AB37-32DC85954F59 4 0.2126 0.72111 0.072 0.000 0.000 0.904 0.020 0.004
#> 38A6BA1F-B444-4155-A168-EC2DF0EE0785 5 0.6206 0.38049 0.340 0.000 0.000 0.148 0.480 0.032
#> B107D1DE-EE52-4E89-B75A-91124BFF99AE 3 0.0000 0.98682 0.000 0.000 1.000 0.000 0.000 0.000
#> D4D16D09-8895-4BEA-ABF7-F11C5D5BDCAA 5 0.2879 0.82241 0.016 0.000 0.000 0.072 0.868 0.044
#> 9A53C473-1364-4BB6-AD36-EF53E0208450 1 0.2257 0.83867 0.876 0.000 0.000 0.000 0.116 0.008
#> F00C0ED6-C811-4F32-BDB4-4ACA7861DC7D 2 0.1219 0.72413 0.000 0.948 0.000 0.004 0.000 0.048
#> 72618985-CD49-4B6F-8CB0-5EE590FAD09A 6 0.2365 0.66866 0.000 0.072 0.000 0.040 0.000 0.888
#> 978A315F-CCE9-4D03-A680-C0AD60B10557 2 0.2983 0.61919 0.000 0.832 0.000 0.032 0.000 0.136
#> B6EACAED-3944-4510-B685-0BB8D1651D4F 5 0.4492 0.64249 0.064 0.000 0.000 0.192 0.724 0.020
#> EBCF16B4-A804-45EB-8253-0F28A2645729 5 0.0891 0.82611 0.000 0.000 0.000 0.008 0.968 0.024
#> 637DC441-4A75-4DA8-8F65-91FDB5F103C7 5 0.0777 0.82549 0.000 0.000 0.000 0.004 0.972 0.024
#> 89F67654-A246-4307-9B17-4A1C01DB1AED 2 0.3588 0.61074 0.000 0.788 0.000 0.060 0.000 0.152
#> 3A8EB57B-71ED-4169-A8EB-624C67CDBBE1 2 0.3876 0.34344 0.000 0.700 0.000 0.024 0.000 0.276
#> CC4DA9C6-CAB2-44FF-8219-D293ECD07DD4 5 0.1275 0.83275 0.016 0.000 0.000 0.012 0.956 0.016
#> AEC4FDAA-8F60-43CE-8EBB-5629FA662F16 6 0.4847 0.35215 0.000 0.444 0.000 0.056 0.000 0.500
#> BFC0D795-64F4-48B3-AD08-8C564E5E5367 5 0.5636 0.43036 0.364 0.000 0.000 0.060 0.532 0.044
#> 907BBBA4-4E7B-4808-892E-F80525C3CFA3 4 0.5174 0.65459 0.076 0.004 0.000 0.692 0.048 0.180
#> 7F21FA19-1468-4A65-A10A-A9727218A5EF 1 0.1346 0.88381 0.952 0.000 0.000 0.024 0.016 0.008
#> 905A026A-0B13-4AD3-B2BB-9A5AE76920AF 4 0.4680 0.59427 0.000 0.120 0.000 0.680 0.000 0.200
#> 6DDFC760-7BED-4A68-8DDA-9453D0FC9C1D 1 0.0146 0.90140 0.996 0.000 0.000 0.000 0.004 0.000
#> B3AFF323-BAAD-4512-A837-20C430EA39D1 4 0.6006 0.28494 0.156 0.000 0.000 0.508 0.316 0.020
#> 193E9034-42A2-4701-AA3E-2E852CA5C043 1 0.0000 0.90193 1.000 0.000 0.000 0.000 0.000 0.000
#> 8B6127D5-D3BB-4E17-914C-3ED1E2A52078 2 0.2981 0.64705 0.000 0.820 0.000 0.020 0.000 0.160
#> BD6E5E3C-DC43-4A85-84DF-84C68ABB851A 4 0.5318 0.49826 0.000 0.160 0.000 0.588 0.000 0.252
#> 881EACBD-B314-4A9E-A6DE-58DF9466AFB3 4 0.2942 0.69379 0.000 0.068 0.000 0.860 0.008 0.064
#> 195A6DF6-437D-4964-8872-C44F13E2CA4C 6 0.3081 0.63541 0.000 0.220 0.000 0.004 0.000 0.776
#> C40FD0B3-4773-490D-A342-B1CE8CC0A5BD 1 0.0146 0.90112 0.996 0.000 0.000 0.000 0.004 0.000
#> 613454BF-1A66-4DBB-90D0-246FC212DA4A 5 0.0777 0.82549 0.000 0.000 0.000 0.004 0.972 0.024
#> 5F121320-0F61-4BC0-BB69-F5C9A93BC118 1 0.0000 0.90193 1.000 0.000 0.000 0.000 0.000 0.000
#> E5637874-962B-4C43-8339-A6625D754DA8 4 0.2178 0.70787 0.012 0.056 0.000 0.912 0.012 0.008
#> 7614BF19-E3A2-492A-ABC0-557B274CA326 5 0.4926 0.72048 0.180 0.000 0.000 0.072 0.704 0.044
#> 6EB070B1-45C3-46DB-BFF9-6D9A137EC3A8 4 0.4230 0.61600 0.000 0.068 0.000 0.728 0.004 0.200
#> 873EEA1A-8AA1-4C83-B001-7BD64343ADE1 1 0.1802 0.86985 0.916 0.000 0.000 0.000 0.072 0.012
#> 2DCF0812-AC29-4BC2-8929-4D3D7B0F6335 6 0.4948 0.28556 0.000 0.460 0.000 0.064 0.000 0.476
#> 9391B623-4EC1-43A2-85EC-7B80BE87827D 5 0.2554 0.82285 0.000 0.000 0.000 0.076 0.876 0.048
#> 32A000F1-BAEA-41D2-AC75-02255A5BF2F2 2 0.5440 0.25493 0.000 0.556 0.000 0.156 0.000 0.288
#> 9C1016CE-3EAB-4FA7-806B-C8F6B08B4EA1 4 0.2209 0.72163 0.072 0.000 0.000 0.900 0.024 0.004
#> C7C4E75E-887F-4D11-9FDC-32292895A6B3 6 0.1908 0.66223 0.000 0.056 0.000 0.028 0.000 0.916
#> 54739A62-512F-499F-AFE1-B7C631B35272 1 0.0291 0.90062 0.992 0.000 0.000 0.000 0.004 0.004
#> 4476DF0E-6BB4-4682-BF59-E61071D4184E 5 0.0951 0.83529 0.020 0.000 0.000 0.004 0.968 0.008
#> DCCC6566-8A72-411D-B8F0-CC92B6D973AF 2 0.0508 0.73787 0.000 0.984 0.000 0.012 0.000 0.004
#> 781AEC2C-2604-4DAA-A55C-D07A305AF32E 5 0.0777 0.82549 0.000 0.000 0.000 0.004 0.972 0.024
#> CB6BBA89-F467-4E0E-9DD1-04631E23D18C 5 0.0964 0.82981 0.004 0.000 0.000 0.016 0.968 0.012
#> 42E0E49F-0F6A-4787-87E8-E5CEA94822F9 6 0.3756 0.52032 0.000 0.352 0.000 0.004 0.000 0.644
#> B6466D8A-6CD3-4C90-B1FC-72EBDD93AE47 4 0.2209 0.72163 0.072 0.000 0.000 0.900 0.024 0.004
#> EEBC342F-80C7-428B-A69C-35962A8A0251 6 0.3699 0.54200 0.000 0.336 0.000 0.004 0.000 0.660
#> 38CB2DA4-D03B-4AAD-820E-B3475C52A945 6 0.5667 0.40333 0.000 0.288 0.000 0.192 0.000 0.520
#> E924E4B6-F88B-4F6B-B381-24D125C05D4F 3 0.0000 0.98682 0.000 0.000 1.000 0.000 0.000 0.000
#> C207F0D6-55B8-4353-8A7D-F1BA623BED96 5 0.0777 0.82549 0.000 0.000 0.000 0.004 0.972 0.024
#> 980CBBAE-2C02-4150-8BDB-B67713B6425C 3 0.0000 0.98682 0.000 0.000 1.000 0.000 0.000 0.000
#> 2E2A42A8-50A7-4409-8504-949A2B8A46A6 5 0.3273 0.82452 0.036 0.000 0.000 0.072 0.848 0.044
#> 65B6391B-3178-4AB3-9AA8-2FFAC5491988 2 0.2070 0.72598 0.000 0.908 0.000 0.048 0.000 0.044
#> 78EEB2C7-4B64-4CB0-9C94-E2AC46A75237 4 0.2209 0.72163 0.072 0.000 0.000 0.900 0.024 0.004
#> 4F05A349-3B06-425C-A8CC-63C1B23A3D65 1 0.1700 0.86676 0.916 0.000 0.000 0.000 0.080 0.004
#> 1CE1B4DB-1F7B-4F30-BAA1-E0252199F05B 2 0.1296 0.73044 0.000 0.952 0.032 0.012 0.000 0.004
#> 05FAAE20-A94E-41FA-B6B6-7DDCFB4F9657 1 0.0000 0.90193 1.000 0.000 0.000 0.000 0.000 0.000
#> 8C635DC8-6BED-46F6-893F-2AFB6CB3481A 4 0.6099 0.24844 0.196 0.000 0.000 0.496 0.292 0.016
#> 48410523-5F22-4531-97FA-7C796AD58989 1 0.0000 0.90193 1.000 0.000 0.000 0.000 0.000 0.000
#> B68D29BD-EDC7-4375-99F7-C5DAF72F3BA6 1 0.0260 0.90052 0.992 0.000 0.000 0.000 0.008 0.000
#> 417DC694-EA89-4AE0-94AC-88CA7E4BAA0B 1 0.5164 0.53804 0.656 0.000 0.000 0.060 0.240 0.044
#> 64CC8829-8B70-4B43-A364-4905139379E4 4 0.2288 0.72052 0.072 0.000 0.000 0.896 0.028 0.004
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#> 45EF606B-03F7-4A96-B57F-49011BF1A432 2 0.1890 0.72952 0.000 0.916 0.000 0.024 0.000 0.060
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.2588 0.85069 0.876 0.000 0.000 0.024 0.092 0.008
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.0603 0.73825 0.000 0.980 0.000 0.016 0.000 0.004
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.4327 0.52337 0.676 0.000 0.000 0.012 0.284 0.028
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 3 0.0000 0.98682 0.000 0.000 1.000 0.000 0.000 0.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 2 0.2070 0.72598 0.000 0.908 0.000 0.048 0.000 0.044
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 2 0.3961 0.60376 0.000 0.776 0.160 0.028 0.000 0.036
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.4497 0.66257 0.712 0.000 0.000 0.060 0.212 0.016
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 5 0.0909 0.82682 0.000 0.000 0.000 0.012 0.968 0.020
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.3506 0.53796 0.000 0.792 0.000 0.052 0.000 0.156
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 5 0.3260 0.82857 0.036 0.000 0.000 0.076 0.848 0.040
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.3651 0.80595 0.824 0.000 0.000 0.056 0.076 0.044
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 2 0.1765 0.71823 0.000 0.924 0.052 0.024 0.000 0.000
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 2 0.1562 0.72844 0.000 0.940 0.032 0.024 0.000 0.004
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 5 0.2724 0.83742 0.076 0.000 0.000 0.016 0.876 0.032
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 5 0.0777 0.82549 0.000 0.000 0.000 0.004 0.972 0.024
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.3228 0.82021 0.844 0.000 0.000 0.020 0.092 0.044
#> DA1301D3-1F84-46C5-AB44-079493A81A51 5 0.1346 0.83339 0.024 0.000 0.000 0.008 0.952 0.016
#> A12B1681-B598-40C3-80FE-1801F3F1189D 5 0.3164 0.81702 0.096 0.000 0.000 0.048 0.844 0.012
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 6 0.5364 0.45449 0.000 0.140 0.000 0.300 0.000 0.560
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 4 0.2670 0.71216 0.016 0.052 0.000 0.892 0.020 0.020
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 6 0.4066 0.47257 0.000 0.392 0.000 0.012 0.000 0.596
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 4 0.6008 0.33475 0.000 0.240 0.000 0.472 0.004 0.284
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 5 0.1262 0.83720 0.020 0.000 0.000 0.008 0.956 0.016
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.2966 0.68838 0.000 0.848 0.000 0.076 0.000 0.076
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.0665 0.73660 0.000 0.980 0.008 0.008 0.000 0.004
#> 1D0379B1-0E99-4E6D-B890-907C92860654 4 0.4670 0.60453 0.000 0.152 0.000 0.708 0.008 0.132
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.4856 -0.27876 0.000 0.480 0.000 0.056 0.000 0.464
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 4 0.5337 0.38247 0.000 0.116 0.000 0.524 0.000 0.360
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 4 0.5720 0.31857 0.000 0.356 0.000 0.472 0.000 0.172
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.2638 0.85189 0.884 0.000 0.000 0.016 0.060 0.040
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.1285 0.72167 0.000 0.944 0.000 0.004 0.000 0.052
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 5 0.2815 0.83259 0.096 0.000 0.000 0.012 0.864 0.028
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.4297 0.55193 0.000 0.724 0.000 0.100 0.000 0.176
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 5 0.4651 0.47699 0.372 0.000 0.000 0.012 0.588 0.028
#> D3B955AA-F27A-483A-9314-75277253EE6F 6 0.4856 0.29032 0.000 0.472 0.000 0.056 0.000 0.472
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 5 0.0777 0.82549 0.000 0.000 0.000 0.004 0.972 0.024
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 6 0.4855 0.32573 0.000 0.460 0.000 0.056 0.000 0.484
#> AC376BBB-667B-4469-B567-9BE18DE0F811 5 0.3342 0.82438 0.040 0.000 0.000 0.072 0.844 0.044
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.2488 0.70706 0.000 0.880 0.000 0.044 0.000 0.076
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.90193 1.000 0.000 0.000 0.000 0.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.90193 1.000 0.000 0.000 0.000 0.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.0993 0.73721 0.000 0.964 0.000 0.012 0.000 0.024
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 5 0.4754 0.57021 0.052 0.000 0.000 0.276 0.656 0.016
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 6 0.5001 0.45128 0.000 0.384 0.000 0.076 0.000 0.540
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.98682 0.000 0.000 1.000 0.000 0.000 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 2 0.0291 0.73550 0.000 0.992 0.000 0.004 0.000 0.004
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 2 0.1572 0.72596 0.000 0.936 0.036 0.028 0.000 0.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 4 0.2377 0.72124 0.076 0.000 0.000 0.892 0.024 0.008
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 6 0.3636 0.53362 0.000 0.320 0.000 0.004 0.000 0.676
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.2201 0.72277 0.000 0.900 0.000 0.052 0.000 0.048
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.0692 0.73834 0.000 0.976 0.000 0.020 0.000 0.004
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 6 0.5335 0.47243 0.000 0.276 0.000 0.148 0.000 0.576
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.90193 1.000 0.000 0.000 0.000 0.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.90193 1.000 0.000 0.000 0.000 0.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 5 0.4706 0.77446 0.152 0.000 0.000 0.068 0.732 0.048
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.2174 0.85570 0.896 0.000 0.000 0.008 0.088 0.008
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 6 0.3841 0.48703 0.000 0.380 0.000 0.004 0.000 0.616
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 6 0.4264 0.54401 0.000 0.352 0.000 0.028 0.000 0.620
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.4008 0.78566 0.796 0.000 0.000 0.068 0.096 0.040
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 6 0.4175 0.31783 0.000 0.464 0.000 0.012 0.000 0.524
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 5 0.5124 0.65033 0.264 0.000 0.000 0.048 0.644 0.044
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 5 0.3509 0.81738 0.128 0.000 0.000 0.024 0.816 0.032
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.98682 0.000 0.000 1.000 0.000 0.000 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 5 0.2323 0.83470 0.084 0.000 0.000 0.012 0.892 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["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 17654 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'SD' method.
#> Subgroups are detected by 'NMF' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 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 0.987 0.956 0.982 0.4998 0.500 0.500
#> 3 3 0.916 0.909 0.964 0.2757 0.794 0.614
#> 4 4 0.881 0.881 0.936 0.1420 0.860 0.638
#> 5 5 0.829 0.819 0.912 0.0661 0.890 0.636
#> 6 6 0.804 0.762 0.871 0.0296 0.935 0.741
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
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.9798 1.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 2 0.0000 0.9835 0.000 1.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.0000 0.9798 1.000 0.000
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.0000 0.9798 1.000 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.0000 0.9798 1.000 0.000
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.0000 0.9798 1.000 0.000
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 1 0.8813 0.5769 0.700 0.300
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 2 0.4022 0.9023 0.080 0.920
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.0000 0.9798 1.000 0.000
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 1 0.0000 0.9798 1.000 0.000
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.0000 0.9798 1.000 0.000
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 2 0.0000 0.9835 0.000 1.000
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.9798 1.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 2 0.0000 0.9835 0.000 1.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 1 0.0000 0.9798 1.000 0.000
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.0000 0.9835 0.000 1.000
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0000 0.9798 1.000 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.9798 1.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 1 0.0000 0.9798 1.000 0.000
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0000 0.9798 1.000 0.000
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 1 0.1414 0.9622 0.980 0.020
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.0000 0.9835 0.000 1.000
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 2 0.9710 0.3297 0.400 0.600
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0000 0.9798 1.000 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 2 0.0000 0.9835 0.000 1.000
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 1 0.0000 0.9798 1.000 0.000
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.0000 0.9835 0.000 1.000
#> 375FE390-434B-41D3-9029-84065B1D7B6F 2 0.0000 0.9835 0.000 1.000
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 0.9798 1.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.0000 0.9835 0.000 1.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.0000 0.9835 0.000 1.000
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.0000 0.9835 0.000 1.000
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.0000 0.9835 0.000 1.000
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.0000 0.9798 1.000 0.000
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 2 0.0000 0.9835 0.000 1.000
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 2 0.7883 0.6878 0.236 0.764
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 1 0.0000 0.9798 1.000 0.000
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 2 0.0000 0.9835 0.000 1.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.0000 0.9798 1.000 0.000
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 2 0.0000 0.9835 0.000 1.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 2 0.0000 0.9835 0.000 1.000
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 2 0.0000 0.9835 0.000 1.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 2 0.0000 0.9835 0.000 1.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 1 0.0000 0.9798 1.000 0.000
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 1 0.0000 0.9798 1.000 0.000
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.0000 0.9798 1.000 0.000
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 2 0.0000 0.9835 0.000 1.000
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 1 0.0000 0.9798 1.000 0.000
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.0000 0.9798 1.000 0.000
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 2 0.0000 0.9835 0.000 1.000
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.0000 0.9835 0.000 1.000
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 1 0.0000 0.9798 1.000 0.000
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#> 617447CF-9327-4062-B22C-71A8944C948F 2 0.0000 0.9835 0.000 1.000
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0000 0.9798 1.000 0.000
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 2 0.0000 0.9835 0.000 1.000
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.0000 0.9798 1.000 0.000
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.0000 0.9835 0.000 1.000
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.0000 0.9798 1.000 0.000
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 2 0.0000 0.9835 0.000 1.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 2 0.0000 0.9835 0.000 1.000
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 2 0.0000 0.9835 0.000 1.000
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.0000 0.9798 1.000 0.000
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 1 0.0000 0.9798 1.000 0.000
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.0000 0.9835 0.000 1.000
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 1 0.0000 0.9798 1.000 0.000
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.0000 0.9798 1.000 0.000
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 2 0.0000 0.9835 0.000 1.000
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 2 0.0000 0.9835 0.000 1.000
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 1 0.0000 0.9798 1.000 0.000
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 2 0.7453 0.7257 0.212 0.788
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.0000 0.9798 1.000 0.000
#> DA1301D3-1F84-46C5-AB44-079493A81A51 1 0.0000 0.9798 1.000 0.000
#> A12B1681-B598-40C3-80FE-1801F3F1189D 1 0.0000 0.9798 1.000 0.000
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 2 0.0000 0.9835 0.000 1.000
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 1 0.6438 0.8011 0.836 0.164
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.0000 0.9835 0.000 1.000
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.0000 0.9835 0.000 1.000
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 1 0.0000 0.9798 1.000 0.000
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.0000 0.9835 0.000 1.000
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.0000 0.9835 0.000 1.000
#> 1D0379B1-0E99-4E6D-B890-907C92860654 2 0.0000 0.9835 0.000 1.000
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.0000 0.9835 0.000 1.000
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 2 0.5519 0.8451 0.128 0.872
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 2 0.0000 0.9835 0.000 1.000
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0000 0.9798 1.000 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.0000 0.9835 0.000 1.000
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.0000 0.9798 1.000 0.000
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.0000 0.9835 0.000 1.000
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0000 0.9798 1.000 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.0000 0.9835 0.000 1.000
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 1 0.0000 0.9798 1.000 0.000
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.0000 0.9835 0.000 1.000
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.0000 0.9798 1.000 0.000
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.0000 0.9835 0.000 1.000
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.9798 1.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.9798 1.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.0000 0.9835 0.000 1.000
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.0672 0.9728 0.992 0.008
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.0000 0.9835 0.000 1.000
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 2 0.0000 0.9835 0.000 1.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 2 0.0000 0.9835 0.000 1.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 2 0.0000 0.9835 0.000 1.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 1 0.0000 0.9798 1.000 0.000
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.0000 0.9835 0.000 1.000
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.0000 0.9835 0.000 1.000
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.0000 0.9835 0.000 1.000
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.0000 0.9835 0.000 1.000
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.9798 1.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.9798 1.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.0000 0.9798 1.000 0.000
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0000 0.9798 1.000 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.0000 0.9835 0.000 1.000
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.0000 0.9835 0.000 1.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0000 0.9798 1.000 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.0000 0.9835 0.000 1.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.0000 0.9798 1.000 0.000
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.0000 0.9798 1.000 0.000
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 2 0.0000 0.9835 0.000 1.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.0000 0.9798 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.9873 1.000 0.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.9208 0.000 0.000 1.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.0000 0.9873 1.000 0.000 0.000
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.0000 0.9873 1.000 0.000 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.0000 0.9873 1.000 0.000 0.000
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.0000 0.9873 1.000 0.000 0.000
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 2 0.0000 0.9467 0.000 1.000 0.000
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 2 0.0000 0.9467 0.000 1.000 0.000
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.0000 0.9873 1.000 0.000 0.000
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 1 0.4605 0.7276 0.796 0.204 0.000
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.0000 0.9873 1.000 0.000 0.000
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 3 0.0000 0.9208 0.000 0.000 1.000
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.9873 1.000 0.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 3 0.0000 0.9208 0.000 0.000 1.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 2 0.0000 0.9467 0.000 1.000 0.000
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.0000 0.9467 0.000 1.000 0.000
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0000 0.9873 1.000 0.000 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.9873 1.000 0.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 1 0.0000 0.9873 1.000 0.000 0.000
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0000 0.9873 1.000 0.000 0.000
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 2 0.0000 0.9467 0.000 1.000 0.000
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.2959 0.8518 0.000 0.900 0.100
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 2 0.0000 0.9467 0.000 1.000 0.000
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0000 0.9873 1.000 0.000 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 2 0.1860 0.9008 0.000 0.948 0.052
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 1 0.0000 0.9873 1.000 0.000 0.000
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.0000 0.9467 0.000 1.000 0.000
#> 375FE390-434B-41D3-9029-84065B1D7B6F 2 0.0000 0.9467 0.000 1.000 0.000
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 0.9873 1.000 0.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.3619 0.8070 0.000 0.864 0.136
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.0000 0.9467 0.000 1.000 0.000
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.6140 0.2839 0.000 0.596 0.404
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.0000 0.9467 0.000 1.000 0.000
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.0000 0.9873 1.000 0.000 0.000
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 3 0.1411 0.8966 0.000 0.036 0.964
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 2 0.0000 0.9467 0.000 1.000 0.000
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 1 0.0000 0.9873 1.000 0.000 0.000
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0000 0.9208 0.000 0.000 1.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.0000 0.9873 1.000 0.000 0.000
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.0000 0.9208 0.000 0.000 1.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 2 0.0000 0.9467 0.000 1.000 0.000
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.0000 0.9208 0.000 0.000 1.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.0000 0.9208 0.000 0.000 1.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 1 0.0000 0.9873 1.000 0.000 0.000
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 2 0.6008 0.4157 0.372 0.628 0.000
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.0000 0.9873 1.000 0.000 0.000
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 2 0.0000 0.9467 0.000 1.000 0.000
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 1 0.0000 0.9873 1.000 0.000 0.000
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.0000 0.9873 1.000 0.000 0.000
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 2 0.0000 0.9467 0.000 1.000 0.000
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.0000 0.9467 0.000 1.000 0.000
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 2 0.0000 0.9467 0.000 1.000 0.000
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.0000 0.9208 0.000 0.000 1.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.0000 0.9873 1.000 0.000 0.000
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 2 0.5926 0.4117 0.000 0.644 0.356
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 2 0.0000 0.9467 0.000 1.000 0.000
#> 208165C0-229B-49E2-A22A-575CA3157C9E 2 0.0000 0.9467 0.000 1.000 0.000
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 1 0.0000 0.9873 1.000 0.000 0.000
#> 01397021-8495-4D89-885A-166B4DBA0122 3 0.0000 0.9208 0.000 0.000 1.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 3 0.0000 0.9208 0.000 0.000 1.000
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.0000 0.9873 1.000 0.000 0.000
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 2 0.0000 0.9467 0.000 1.000 0.000
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 3 0.3879 0.7971 0.000 0.152 0.848
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 3 0.0000 0.9208 0.000 0.000 1.000
#> AA569A06-0F37-4492-93F3-60A4539A3E82 2 0.0000 0.9467 0.000 1.000 0.000
#> BC53FB75-94CA-48C3-875B-5987037D186F 2 0.0237 0.9435 0.000 0.996 0.004
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 1 0.0000 0.9873 1.000 0.000 0.000
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 3 0.6026 0.4201 0.000 0.376 0.624
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 2 0.0000 0.9467 0.000 1.000 0.000
#> DF67F589-A607-4B95-96B8-4BB344132312 3 0.6215 0.2817 0.000 0.428 0.572
#> A65233E6-C146-4ACF-8DDE-5FB12D8D9637 3 0.0000 0.9208 0.000 0.000 1.000
#> 7578C9A3-FFF8-45C4-AC28-1C6141A9A2AD 1 0.0000 0.9873 1.000 0.000 0.000
#> 4DF775B9-E2FE-4F5E-8329-C37E21C5D10E 1 0.0000 0.9873 1.000 0.000 0.000
#> 5E6B86C6-3D79-47BB-9FAF-CA22659CFEA7 1 0.0000 0.9873 1.000 0.000 0.000
#> 53286128-668B-47EA-9A5F-D768FDCCBE88 1 0.0000 0.9873 1.000 0.000 0.000
#> 01C9F351-97FE-4037-A879-9D96A3DD3FBB 3 0.1643 0.8908 0.000 0.044 0.956
#> 5487DB21-6A58-46AC-A2A1-E343082D41D8 1 0.0000 0.9873 1.000 0.000 0.000
#> 0FB3E997-4E31-4FA6-9654-11C3C0AF8D86 2 0.0000 0.9467 0.000 1.000 0.000
#> A0706E80-FDF9-4721-BEB4-90527F6D38C4 2 0.3816 0.7888 0.000 0.852 0.148
#> 5260226E-1826-4F54-8237-28993DD2EF04 3 0.0000 0.9208 0.000 0.000 1.000
#> F53F71A7-A399-49AB-8657-019C5C56F48C 2 0.6260 0.1453 0.000 0.552 0.448
#> 008159F2-5247-479A-8BFE-C394888D0B74 2 0.0000 0.9467 0.000 1.000 0.000
#> 9E6BA6FB-35F2-4510-94AE-3E7CDFED3D47 3 0.0000 0.9208 0.000 0.000 1.000
#> F12BE7AC-D2DD-4AD1-AB37-32DC85954F59 2 0.0000 0.9467 0.000 1.000 0.000
#> 38A6BA1F-B444-4155-A168-EC2DF0EE0785 1 0.0000 0.9873 1.000 0.000 0.000
#> B107D1DE-EE52-4E89-B75A-91124BFF99AE 3 0.0000 0.9208 0.000 0.000 1.000
#> D4D16D09-8895-4BEA-ABF7-F11C5D5BDCAA 1 0.0000 0.9873 1.000 0.000 0.000
#> 9A53C473-1364-4BB6-AD36-EF53E0208450 1 0.0000 0.9873 1.000 0.000 0.000
#> F00C0ED6-C811-4F32-BDB4-4ACA7861DC7D 2 0.0000 0.9467 0.000 1.000 0.000
#> 72618985-CD49-4B6F-8CB0-5EE590FAD09A 2 0.0000 0.9467 0.000 1.000 0.000
#> 978A315F-CCE9-4D03-A680-C0AD60B10557 2 0.0000 0.9467 0.000 1.000 0.000
#> B6EACAED-3944-4510-B685-0BB8D1651D4F 1 0.0000 0.9873 1.000 0.000 0.000
#> EBCF16B4-A804-45EB-8253-0F28A2645729 1 0.0000 0.9873 1.000 0.000 0.000
#> 637DC441-4A75-4DA8-8F65-91FDB5F103C7 3 0.6267 0.1852 0.452 0.000 0.548
#> 89F67654-A246-4307-9B17-4A1C01DB1AED 2 0.0000 0.9467 0.000 1.000 0.000
#> 3A8EB57B-71ED-4169-A8EB-624C67CDBBE1 2 0.0000 0.9467 0.000 1.000 0.000
#> CC4DA9C6-CAB2-44FF-8219-D293ECD07DD4 1 0.0000 0.9873 1.000 0.000 0.000
#> AEC4FDAA-8F60-43CE-8EBB-5629FA662F16 2 0.0000 0.9467 0.000 1.000 0.000
#> BFC0D795-64F4-48B3-AD08-8C564E5E5367 1 0.0000 0.9873 1.000 0.000 0.000
#> 907BBBA4-4E7B-4808-892E-F80525C3CFA3 2 0.0000 0.9467 0.000 1.000 0.000
#> 7F21FA19-1468-4A65-A10A-A9727218A5EF 1 0.0000 0.9873 1.000 0.000 0.000
#> 905A026A-0B13-4AD3-B2BB-9A5AE76920AF 2 0.0000 0.9467 0.000 1.000 0.000
#> 6DDFC760-7BED-4A68-8DDA-9453D0FC9C1D 1 0.0000 0.9873 1.000 0.000 0.000
#> B3AFF323-BAAD-4512-A837-20C430EA39D1 1 0.0000 0.9873 1.000 0.000 0.000
#> 193E9034-42A2-4701-AA3E-2E852CA5C043 1 0.0000 0.9873 1.000 0.000 0.000
#> 8B6127D5-D3BB-4E17-914C-3ED1E2A52078 2 0.0000 0.9467 0.000 1.000 0.000
#> BD6E5E3C-DC43-4A85-84DF-84C68ABB851A 2 0.0000 0.9467 0.000 1.000 0.000
#> 881EACBD-B314-4A9E-A6DE-58DF9466AFB3 2 0.0000 0.9467 0.000 1.000 0.000
#> 195A6DF6-437D-4964-8872-C44F13E2CA4C 2 0.0000 0.9467 0.000 1.000 0.000
#> C40FD0B3-4773-490D-A342-B1CE8CC0A5BD 1 0.0000 0.9873 1.000 0.000 0.000
#> 613454BF-1A66-4DBB-90D0-246FC212DA4A 1 0.0000 0.9873 1.000 0.000 0.000
#> 5F121320-0F61-4BC0-BB69-F5C9A93BC118 1 0.0000 0.9873 1.000 0.000 0.000
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#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.0000 0.9873 1.000 0.000 0.000
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.6140 0.2837 0.000 0.596 0.404
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0000 0.9873 1.000 0.000 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.0000 0.9467 0.000 1.000 0.000
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 1 0.0000 0.9873 1.000 0.000 0.000
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.0000 0.9467 0.000 1.000 0.000
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.0000 0.9873 1.000 0.000 0.000
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.0000 0.9467 0.000 1.000 0.000
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.9873 1.000 0.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.9873 1.000 0.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.0000 0.9467 0.000 1.000 0.000
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.1163 0.9612 0.972 0.000 0.028
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.0000 0.9467 0.000 1.000 0.000
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.9208 0.000 0.000 1.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 3 0.0000 0.9208 0.000 0.000 1.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.0000 0.9208 0.000 0.000 1.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 1 0.4931 0.6870 0.768 0.232 0.000
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 3 0.5178 0.6561 0.000 0.256 0.744
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.0000 0.9467 0.000 1.000 0.000
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.3752 0.7950 0.000 0.856 0.144
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.0000 0.9467 0.000 1.000 0.000
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.9873 1.000 0.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.9873 1.000 0.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.0000 0.9873 1.000 0.000 0.000
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0000 0.9873 1.000 0.000 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.0000 0.9467 0.000 1.000 0.000
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.0000 0.9467 0.000 1.000 0.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0000 0.9873 1.000 0.000 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.0000 0.9467 0.000 1.000 0.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.0000 0.9873 1.000 0.000 0.000
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.0000 0.9873 1.000 0.000 0.000
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.9208 0.000 0.000 1.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.0000 0.9873 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.9470 1.000 0.000 0.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.9530 0.000 0.000 1.000 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.3400 0.7606 0.820 0.000 0.000 0.180
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.0000 0.9470 1.000 0.000 0.000 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 4 0.2469 0.8435 0.108 0.000 0.000 0.892
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.0188 0.9463 0.996 0.000 0.000 0.004
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 2 0.1637 0.9082 0.000 0.940 0.000 0.060
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 2 0.0336 0.9453 0.000 0.992 0.000 0.008
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.0336 0.9450 0.992 0.000 0.000 0.008
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 4 0.0188 0.8404 0.000 0.004 0.000 0.996
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 4 0.4103 0.7061 0.256 0.000 0.000 0.744
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 3 0.0000 0.9530 0.000 0.000 1.000 0.000
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.9470 1.000 0.000 0.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 3 0.0000 0.9530 0.000 0.000 1.000 0.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 2 0.0000 0.9476 0.000 1.000 0.000 0.000
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.0000 0.9476 0.000 1.000 0.000 0.000
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0000 0.9470 1.000 0.000 0.000 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0469 0.9442 0.988 0.000 0.000 0.012
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 1 0.0469 0.9431 0.988 0.000 0.000 0.012
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0000 0.9470 1.000 0.000 0.000 0.000
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 4 0.2081 0.8713 0.000 0.084 0.000 0.916
#> 83453F80-8A68-4A3C-995D-85CFB1011249 3 0.3486 0.7719 0.000 0.188 0.812 0.000
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 2 0.1022 0.9300 0.000 0.968 0.000 0.032
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0000 0.9470 1.000 0.000 0.000 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 4 0.2081 0.8713 0.000 0.084 0.000 0.916
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 4 0.2149 0.8509 0.088 0.000 0.000 0.912
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.0000 0.9476 0.000 1.000 0.000 0.000
#> 375FE390-434B-41D3-9029-84065B1D7B6F 4 0.4999 0.1512 0.000 0.492 0.000 0.508
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0817 0.9397 0.976 0.000 0.000 0.024
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 3 0.4072 0.6804 0.000 0.252 0.748 0.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.0000 0.9476 0.000 1.000 0.000 0.000
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 4 0.2401 0.8695 0.000 0.092 0.004 0.904
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 4 0.2281 0.8688 0.000 0.096 0.000 0.904
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.0000 0.9470 1.000 0.000 0.000 0.000
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 3 0.0592 0.9415 0.000 0.016 0.984 0.000
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 2 0.2345 0.8709 0.000 0.900 0.000 0.100
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 1 0.0336 0.9450 0.992 0.000 0.000 0.008
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0000 0.9530 0.000 0.000 1.000 0.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.0000 0.9470 1.000 0.000 0.000 0.000
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.0000 0.9530 0.000 0.000 1.000 0.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 2 0.0000 0.9476 0.000 1.000 0.000 0.000
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.0000 0.9530 0.000 0.000 1.000 0.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.0000 0.9530 0.000 0.000 1.000 0.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 1 0.0000 0.9470 1.000 0.000 0.000 0.000
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 4 0.3505 0.7958 0.088 0.048 0.000 0.864
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.0000 0.9470 1.000 0.000 0.000 0.000
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 2 0.0000 0.9476 0.000 1.000 0.000 0.000
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 1 0.0188 0.9463 0.996 0.000 0.000 0.004
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.0188 0.9463 0.996 0.000 0.000 0.004
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 4 0.2149 0.8709 0.000 0.088 0.000 0.912
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.0000 0.9476 0.000 1.000 0.000 0.000
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 2 0.2480 0.8785 0.008 0.904 0.000 0.088
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.0000 0.9530 0.000 0.000 1.000 0.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.0000 0.9470 1.000 0.000 0.000 0.000
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 4 0.2081 0.8713 0.000 0.084 0.000 0.916
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 2 0.0000 0.9476 0.000 1.000 0.000 0.000
#> 208165C0-229B-49E2-A22A-575CA3157C9E 4 0.2469 0.8634 0.000 0.108 0.000 0.892
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 1 0.2011 0.9092 0.920 0.000 0.000 0.080
#> 01397021-8495-4D89-885A-166B4DBA0122 3 0.0000 0.9530 0.000 0.000 1.000 0.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 3 0.0000 0.9530 0.000 0.000 1.000 0.000
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.0000 0.9470 1.000 0.000 0.000 0.000
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 2 0.0000 0.9476 0.000 1.000 0.000 0.000
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 3 0.1940 0.8905 0.000 0.076 0.924 0.000
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 3 0.0000 0.9530 0.000 0.000 1.000 0.000
#> AA569A06-0F37-4492-93F3-60A4539A3E82 2 0.2216 0.8795 0.000 0.908 0.000 0.092
#> BC53FB75-94CA-48C3-875B-5987037D186F 4 0.3356 0.8087 0.000 0.176 0.000 0.824
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 1 0.0336 0.9454 0.992 0.000 0.000 0.008
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 4 0.2542 0.8684 0.000 0.084 0.012 0.904
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 2 0.0336 0.9448 0.000 0.992 0.000 0.008
#> DF67F589-A607-4B95-96B8-4BB344132312 3 0.2081 0.8784 0.000 0.084 0.916 0.000
#> A65233E6-C146-4ACF-8DDE-5FB12D8D9637 3 0.0000 0.9530 0.000 0.000 1.000 0.000
#> 7578C9A3-FFF8-45C4-AC28-1C6141A9A2AD 1 0.0000 0.9470 1.000 0.000 0.000 0.000
#> 4DF775B9-E2FE-4F5E-8329-C37E21C5D10E 4 0.2281 0.8486 0.096 0.000 0.000 0.904
#> 5E6B86C6-3D79-47BB-9FAF-CA22659CFEA7 4 0.2814 0.8309 0.132 0.000 0.000 0.868
#> 53286128-668B-47EA-9A5F-D768FDCCBE88 1 0.2081 0.9064 0.916 0.000 0.000 0.084
#> 01C9F351-97FE-4037-A879-9D96A3DD3FBB 3 0.1716 0.8988 0.000 0.064 0.936 0.000
#> 5487DB21-6A58-46AC-A2A1-E343082D41D8 1 0.0188 0.9463 0.996 0.000 0.000 0.004
#> 0FB3E997-4E31-4FA6-9654-11C3C0AF8D86 2 0.1256 0.9304 0.000 0.964 0.028 0.008
#> A0706E80-FDF9-4721-BEB4-90527F6D38C4 2 0.2081 0.8859 0.000 0.916 0.084 0.000
#> 5260226E-1826-4F54-8237-28993DD2EF04 3 0.0000 0.9530 0.000 0.000 1.000 0.000
#> F53F71A7-A399-49AB-8657-019C5C56F48C 4 0.2081 0.8713 0.000 0.084 0.000 0.916
#> 008159F2-5247-479A-8BFE-C394888D0B74 2 0.0000 0.9476 0.000 1.000 0.000 0.000
#> 9E6BA6FB-35F2-4510-94AE-3E7CDFED3D47 3 0.0000 0.9530 0.000 0.000 1.000 0.000
#> F12BE7AC-D2DD-4AD1-AB37-32DC85954F59 2 0.2334 0.8822 0.004 0.908 0.000 0.088
#> 38A6BA1F-B444-4155-A168-EC2DF0EE0785 1 0.1118 0.9361 0.964 0.000 0.000 0.036
#> B107D1DE-EE52-4E89-B75A-91124BFF99AE 3 0.0000 0.9530 0.000 0.000 1.000 0.000
#> D4D16D09-8895-4BEA-ABF7-F11C5D5BDCAA 1 0.0336 0.9450 0.992 0.000 0.000 0.008
#> 9A53C473-1364-4BB6-AD36-EF53E0208450 1 0.0000 0.9470 1.000 0.000 0.000 0.000
#> F00C0ED6-C811-4F32-BDB4-4ACA7861DC7D 2 0.0000 0.9476 0.000 1.000 0.000 0.000
#> 72618985-CD49-4B6F-8CB0-5EE590FAD09A 4 0.2530 0.8597 0.000 0.112 0.000 0.888
#> 978A315F-CCE9-4D03-A680-C0AD60B10557 2 0.0000 0.9476 0.000 1.000 0.000 0.000
#> B6EACAED-3944-4510-B685-0BB8D1651D4F 1 0.0336 0.9450 0.992 0.000 0.000 0.008
#> EBCF16B4-A804-45EB-8253-0F28A2645729 1 0.4543 0.4823 0.676 0.000 0.000 0.324
#> 637DC441-4A75-4DA8-8F65-91FDB5F103C7 3 0.4406 0.5527 0.300 0.000 0.700 0.000
#> 89F67654-A246-4307-9B17-4A1C01DB1AED 2 0.0000 0.9476 0.000 1.000 0.000 0.000
#> 3A8EB57B-71ED-4169-A8EB-624C67CDBBE1 2 0.1940 0.8951 0.000 0.924 0.076 0.000
#> CC4DA9C6-CAB2-44FF-8219-D293ECD07DD4 4 0.2149 0.8512 0.088 0.000 0.000 0.912
#> AEC4FDAA-8F60-43CE-8EBB-5629FA662F16 2 0.0000 0.9476 0.000 1.000 0.000 0.000
#> BFC0D795-64F4-48B3-AD08-8C564E5E5367 1 0.0000 0.9470 1.000 0.000 0.000 0.000
#> 907BBBA4-4E7B-4808-892E-F80525C3CFA3 4 0.2345 0.8683 0.000 0.100 0.000 0.900
#> 7F21FA19-1468-4A65-A10A-A9727218A5EF 1 0.0000 0.9470 1.000 0.000 0.000 0.000
#> 905A026A-0B13-4AD3-B2BB-9A5AE76920AF 2 0.0000 0.9476 0.000 1.000 0.000 0.000
#> 6DDFC760-7BED-4A68-8DDA-9453D0FC9C1D 1 0.0000 0.9470 1.000 0.000 0.000 0.000
#> B3AFF323-BAAD-4512-A837-20C430EA39D1 1 0.0336 0.9450 0.992 0.000 0.000 0.008
#> 193E9034-42A2-4701-AA3E-2E852CA5C043 1 0.1867 0.9146 0.928 0.000 0.000 0.072
#> 8B6127D5-D3BB-4E17-914C-3ED1E2A52078 2 0.0000 0.9476 0.000 1.000 0.000 0.000
#> BD6E5E3C-DC43-4A85-84DF-84C68ABB851A 2 0.0188 0.9462 0.000 0.996 0.000 0.004
#> 881EACBD-B314-4A9E-A6DE-58DF9466AFB3 2 0.2011 0.8932 0.000 0.920 0.000 0.080
#> 195A6DF6-437D-4964-8872-C44F13E2CA4C 4 0.2281 0.8688 0.000 0.096 0.000 0.904
#> C40FD0B3-4773-490D-A342-B1CE8CC0A5BD 1 0.2081 0.9064 0.916 0.000 0.000 0.084
#> 613454BF-1A66-4DBB-90D0-246FC212DA4A 4 0.4679 0.5126 0.352 0.000 0.000 0.648
#> 5F121320-0F61-4BC0-BB69-F5C9A93BC118 1 0.0000 0.9470 1.000 0.000 0.000 0.000
#> E5637874-962B-4C43-8339-A6625D754DA8 2 0.2081 0.8869 0.000 0.916 0.000 0.084
#> 7614BF19-E3A2-492A-ABC0-557B274CA326 1 0.1302 0.9306 0.956 0.000 0.000 0.044
#> 6EB070B1-45C3-46DB-BFF9-6D9A137EC3A8 2 0.2011 0.8913 0.000 0.920 0.000 0.080
#> 873EEA1A-8AA1-4C83-B001-7BD64343ADE1 1 0.0000 0.9470 1.000 0.000 0.000 0.000
#> 2DCF0812-AC29-4BC2-8929-4D3D7B0F6335 2 0.0000 0.9476 0.000 1.000 0.000 0.000
#> 9391B623-4EC1-43A2-85EC-7B80BE87827D 1 0.0188 0.9463 0.996 0.000 0.000 0.004
#> 32A000F1-BAEA-41D2-AC75-02255A5BF2F2 2 0.0188 0.9462 0.000 0.996 0.000 0.004
#> 9C1016CE-3EAB-4FA7-806B-C8F6B08B4EA1 4 0.6024 0.2174 0.416 0.044 0.000 0.540
#> C7C4E75E-887F-4D11-9FDC-32292895A6B3 4 0.2081 0.8713 0.000 0.084 0.000 0.916
#> 54739A62-512F-499F-AFE1-B7C631B35272 1 0.0336 0.9454 0.992 0.000 0.000 0.008
#> 4476DF0E-6BB4-4682-BF59-E61071D4184E 4 0.3942 0.7338 0.236 0.000 0.000 0.764
#> DCCC6566-8A72-411D-B8F0-CC92B6D973AF 2 0.0000 0.9476 0.000 1.000 0.000 0.000
#> 781AEC2C-2604-4DAA-A55C-D07A305AF32E 4 0.2542 0.8496 0.084 0.000 0.012 0.904
#> CB6BBA89-F467-4E0E-9DD1-04631E23D18C 4 0.3688 0.7676 0.208 0.000 0.000 0.792
#> 42E0E49F-0F6A-4787-87E8-E5CEA94822F9 4 0.2401 0.8695 0.000 0.092 0.004 0.904
#> B6466D8A-6CD3-4C90-B1FC-72EBDD93AE47 2 0.0000 0.9476 0.000 1.000 0.000 0.000
#> EEBC342F-80C7-428B-A69C-35962A8A0251 2 0.1940 0.8937 0.000 0.924 0.000 0.076
#> 38CB2DA4-D03B-4AAD-820E-B3475C52A945 2 0.0336 0.9453 0.000 0.992 0.000 0.008
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#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 3 0.2081 0.8784 0.000 0.084 0.916 0.000
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 3 0.0000 0.9530 0.000 0.000 1.000 0.000
#> 1D0379B1-0E99-4E6D-B890-907C92860654 2 0.1792 0.9038 0.000 0.932 0.000 0.068
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.0188 0.9464 0.000 0.996 0.000 0.004
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 2 0.0000 0.9476 0.000 1.000 0.000 0.000
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 2 0.0000 0.9476 0.000 1.000 0.000 0.000
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.2081 0.9064 0.916 0.000 0.000 0.084
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.0000 0.9476 0.000 1.000 0.000 0.000
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.0336 0.9450 0.992 0.000 0.000 0.008
#> ECC40A03-488E-4076-8A3A-234D968623AD 4 0.5470 0.7430 0.000 0.116 0.148 0.736
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0336 0.9450 0.992 0.000 0.000 0.008
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.0188 0.9465 0.000 0.996 0.000 0.004
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 1 0.1302 0.9205 0.956 0.000 0.000 0.044
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.0000 0.9476 0.000 1.000 0.000 0.000
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.0188 0.9463 0.996 0.000 0.000 0.004
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.0469 0.9421 0.000 0.988 0.012 0.000
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0336 0.9454 0.992 0.000 0.000 0.008
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.9470 1.000 0.000 0.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.0000 0.9476 0.000 1.000 0.000 0.000
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.3356 0.7861 0.824 0.000 0.176 0.000
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.0000 0.9476 0.000 1.000 0.000 0.000
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.9530 0.000 0.000 1.000 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 3 0.0000 0.9530 0.000 0.000 1.000 0.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.0000 0.9530 0.000 0.000 1.000 0.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 1 0.3587 0.8583 0.860 0.052 0.000 0.088
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 4 0.2542 0.8684 0.000 0.084 0.012 0.904
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.2198 0.8880 0.000 0.920 0.072 0.008
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.0817 0.9369 0.000 0.976 0.024 0.000
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.0188 0.9465 0.000 0.996 0.000 0.004
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.9470 1.000 0.000 0.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.2011 0.9093 0.920 0.000 0.000 0.080
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.0336 0.9450 0.992 0.000 0.000 0.008
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0188 0.9463 0.996 0.000 0.000 0.004
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.4866 0.2744 0.000 0.596 0.000 0.404
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.0336 0.9450 0.000 0.992 0.000 0.008
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.2081 0.9064 0.916 0.000 0.000 0.084
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.2125 0.8928 0.000 0.920 0.076 0.004
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.0188 0.9463 0.996 0.000 0.000 0.004
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.0336 0.9450 0.992 0.000 0.000 0.008
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.9530 0.000 0.000 1.000 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.0336 0.9450 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
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.9281 1.000 0.000 0.000 0.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.9452 0.000 0.000 1.000 0.000 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.0798 0.9194 0.976 0.000 0.000 0.008 0.016
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.0162 0.9272 0.996 0.000 0.000 0.004 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.3659 0.7080 0.768 0.000 0.000 0.012 0.220
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.0000 0.9281 1.000 0.000 0.000 0.000 0.000
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 4 0.3274 0.6690 0.000 0.220 0.000 0.780 0.000
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 4 0.4642 0.4704 0.000 0.308 0.000 0.660 0.032
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.2069 0.8711 0.912 0.000 0.000 0.012 0.076
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 4 0.2813 0.6222 0.000 0.000 0.000 0.832 0.168
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 4 0.4946 0.4701 0.052 0.000 0.000 0.648 0.300
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 3 0.0510 0.9337 0.000 0.000 0.984 0.000 0.016
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.9281 1.000 0.000 0.000 0.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 3 0.0000 0.9452 0.000 0.000 1.000 0.000 0.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 2 0.2020 0.8464 0.000 0.900 0.000 0.100 0.000
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.0290 0.9160 0.000 0.992 0.008 0.000 0.000
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0000 0.9281 1.000 0.000 0.000 0.000 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.9281 1.000 0.000 0.000 0.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 1 0.2006 0.8746 0.916 0.000 0.000 0.012 0.072
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0000 0.9281 1.000 0.000 0.000 0.000 0.000
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 5 0.2077 0.8596 0.000 0.008 0.000 0.084 0.908
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.1952 0.8567 0.000 0.912 0.084 0.004 0.000
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 2 0.4126 0.3560 0.000 0.620 0.000 0.380 0.000
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0000 0.9281 1.000 0.000 0.000 0.000 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 5 0.0566 0.8637 0.000 0.004 0.000 0.012 0.984
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 5 0.0510 0.8571 0.000 0.000 0.000 0.016 0.984
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.0000 0.9174 0.000 1.000 0.000 0.000 0.000
#> 375FE390-434B-41D3-9029-84065B1D7B6F 5 0.4930 0.2729 0.000 0.032 0.000 0.388 0.580
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.2471 0.8264 0.864 0.000 0.000 0.136 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.1197 0.8916 0.000 0.952 0.048 0.000 0.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.1638 0.8810 0.000 0.932 0.064 0.004 0.000
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 5 0.1830 0.8639 0.000 0.008 0.000 0.068 0.924
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 5 0.1408 0.8663 0.000 0.008 0.000 0.044 0.948
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.0000 0.9281 1.000 0.000 0.000 0.000 0.000
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 3 0.0703 0.9247 0.000 0.024 0.976 0.000 0.000
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 5 0.5613 0.4529 0.000 0.332 0.000 0.092 0.576
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 1 0.0162 0.9272 0.996 0.000 0.000 0.004 0.000
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0000 0.9452 0.000 0.000 1.000 0.000 0.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.0000 0.9281 1.000 0.000 0.000 0.000 0.000
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.0000 0.9452 0.000 0.000 1.000 0.000 0.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 2 0.0290 0.9160 0.000 0.992 0.000 0.008 0.000
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.0000 0.9452 0.000 0.000 1.000 0.000 0.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.0000 0.9452 0.000 0.000 1.000 0.000 0.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 1 0.0000 0.9281 1.000 0.000 0.000 0.000 0.000
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 4 0.0404 0.7448 0.000 0.000 0.000 0.988 0.012
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.0000 0.9281 1.000 0.000 0.000 0.000 0.000
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 2 0.0000 0.9174 0.000 1.000 0.000 0.000 0.000
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 1 0.0000 0.9281 1.000 0.000 0.000 0.000 0.000
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.0000 0.9281 1.000 0.000 0.000 0.000 0.000
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 5 0.2017 0.8607 0.000 0.008 0.000 0.080 0.912
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.0162 0.9172 0.000 0.996 0.000 0.000 0.004
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 4 0.1965 0.7662 0.024 0.052 0.000 0.924 0.000
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.0000 0.9452 0.000 0.000 1.000 0.000 0.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.2852 0.7864 0.828 0.000 0.000 0.172 0.000
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 5 0.0566 0.8578 0.000 0.004 0.000 0.012 0.984
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 2 0.0510 0.9129 0.000 0.984 0.000 0.016 0.000
#> 208165C0-229B-49E2-A22A-575CA3157C9E 5 0.1399 0.8658 0.000 0.020 0.000 0.028 0.952
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 4 0.2280 0.7575 0.120 0.000 0.000 0.880 0.000
#> 01397021-8495-4D89-885A-166B4DBA0122 3 0.0000 0.9452 0.000 0.000 1.000 0.000 0.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 3 0.0000 0.9452 0.000 0.000 1.000 0.000 0.000
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.0000 0.9281 1.000 0.000 0.000 0.000 0.000
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 2 0.0290 0.9160 0.000 0.992 0.000 0.008 0.000
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 2 0.2629 0.8034 0.000 0.860 0.136 0.004 0.000
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 3 0.0000 0.9452 0.000 0.000 1.000 0.000 0.000
#> AA569A06-0F37-4492-93F3-60A4539A3E82 2 0.3779 0.6818 0.000 0.752 0.000 0.012 0.236
#> BC53FB75-94CA-48C3-875B-5987037D186F 2 0.5069 0.1165 0.000 0.520 0.008 0.020 0.452
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 1 0.1270 0.9013 0.948 0.000 0.000 0.052 0.000
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 5 0.2172 0.8600 0.000 0.004 0.020 0.060 0.916
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 2 0.2707 0.8061 0.000 0.860 0.000 0.008 0.132
#> DF67F589-A607-4B95-96B8-4BB344132312 3 0.4348 0.5156 0.000 0.316 0.668 0.000 0.016
#> A65233E6-C146-4ACF-8DDE-5FB12D8D9637 3 0.0000 0.9452 0.000 0.000 1.000 0.000 0.000
#> 7578C9A3-FFF8-45C4-AC28-1C6141A9A2AD 1 0.0000 0.9281 1.000 0.000 0.000 0.000 0.000
#> 4DF775B9-E2FE-4F5E-8329-C37E21C5D10E 5 0.1981 0.8618 0.016 0.000 0.000 0.064 0.920
#> 5E6B86C6-3D79-47BB-9FAF-CA22659CFEA7 5 0.0703 0.8559 0.000 0.000 0.000 0.024 0.976
#> 53286128-668B-47EA-9A5F-D768FDCCBE88 4 0.4300 0.0955 0.476 0.000 0.000 0.524 0.000
#> 01C9F351-97FE-4037-A879-9D96A3DD3FBB 3 0.3109 0.7184 0.000 0.200 0.800 0.000 0.000
#> 5487DB21-6A58-46AC-A2A1-E343082D41D8 1 0.0162 0.9272 0.996 0.000 0.000 0.004 0.000
#> 0FB3E997-4E31-4FA6-9654-11C3C0AF8D86 2 0.0162 0.9172 0.000 0.996 0.000 0.000 0.004
#> A0706E80-FDF9-4721-BEB4-90527F6D38C4 2 0.0000 0.9174 0.000 1.000 0.000 0.000 0.000
#> 5260226E-1826-4F54-8237-28993DD2EF04 3 0.0000 0.9452 0.000 0.000 1.000 0.000 0.000
#> F53F71A7-A399-49AB-8657-019C5C56F48C 5 0.1608 0.8626 0.000 0.000 0.000 0.072 0.928
#> 008159F2-5247-479A-8BFE-C394888D0B74 2 0.0290 0.9165 0.000 0.992 0.000 0.008 0.000
#> 9E6BA6FB-35F2-4510-94AE-3E7CDFED3D47 3 0.0000 0.9452 0.000 0.000 1.000 0.000 0.000
#> F12BE7AC-D2DD-4AD1-AB37-32DC85954F59 4 0.0566 0.7462 0.000 0.004 0.000 0.984 0.012
#> 38A6BA1F-B444-4155-A168-EC2DF0EE0785 4 0.2519 0.7626 0.100 0.000 0.000 0.884 0.016
#> B107D1DE-EE52-4E89-B75A-91124BFF99AE 3 0.0000 0.9452 0.000 0.000 1.000 0.000 0.000
#> D4D16D09-8895-4BEA-ABF7-F11C5D5BDCAA 1 0.0566 0.9225 0.984 0.000 0.000 0.012 0.004
#> 9A53C473-1364-4BB6-AD36-EF53E0208450 1 0.0000 0.9281 1.000 0.000 0.000 0.000 0.000
#> F00C0ED6-C811-4F32-BDB4-4ACA7861DC7D 2 0.0000 0.9174 0.000 1.000 0.000 0.000 0.000
#> 72618985-CD49-4B6F-8CB0-5EE590FAD09A 5 0.2130 0.8596 0.000 0.012 0.000 0.080 0.908
#> 978A315F-CCE9-4D03-A680-C0AD60B10557 2 0.0162 0.9172 0.000 0.996 0.000 0.004 0.000
#> B6EACAED-3944-4510-B685-0BB8D1651D4F 1 0.0162 0.9272 0.996 0.000 0.000 0.004 0.000
#> EBCF16B4-A804-45EB-8253-0F28A2645729 1 0.2852 0.7724 0.828 0.000 0.000 0.000 0.172
#> 637DC441-4A75-4DA8-8F65-91FDB5F103C7 3 0.2646 0.7849 0.124 0.000 0.868 0.004 0.004
#> 89F67654-A246-4307-9B17-4A1C01DB1AED 2 0.0162 0.9172 0.000 0.996 0.000 0.004 0.000
#> 3A8EB57B-71ED-4169-A8EB-624C67CDBBE1 2 0.0290 0.9166 0.000 0.992 0.008 0.000 0.000
#> CC4DA9C6-CAB2-44FF-8219-D293ECD07DD4 5 0.3427 0.6690 0.192 0.000 0.000 0.012 0.796
#> AEC4FDAA-8F60-43CE-8EBB-5629FA662F16 2 0.0324 0.9175 0.000 0.992 0.000 0.004 0.004
#> BFC0D795-64F4-48B3-AD08-8C564E5E5367 1 0.2020 0.8634 0.900 0.000 0.000 0.100 0.000
#> 907BBBA4-4E7B-4808-892E-F80525C3CFA3 5 0.2439 0.8449 0.000 0.004 0.000 0.120 0.876
#> 7F21FA19-1468-4A65-A10A-A9727218A5EF 1 0.0000 0.9281 1.000 0.000 0.000 0.000 0.000
#> 905A026A-0B13-4AD3-B2BB-9A5AE76920AF 4 0.4235 0.2835 0.000 0.424 0.000 0.576 0.000
#> 6DDFC760-7BED-4A68-8DDA-9453D0FC9C1D 1 0.0000 0.9281 1.000 0.000 0.000 0.000 0.000
#> B3AFF323-BAAD-4512-A837-20C430EA39D1 1 0.0290 0.9258 0.992 0.000 0.000 0.008 0.000
#> 193E9034-42A2-4701-AA3E-2E852CA5C043 1 0.2471 0.8268 0.864 0.000 0.000 0.136 0.000
#> 8B6127D5-D3BB-4E17-914C-3ED1E2A52078 2 0.0162 0.9172 0.000 0.996 0.000 0.004 0.000
#> BD6E5E3C-DC43-4A85-84DF-84C68ABB851A 4 0.4302 0.1065 0.000 0.480 0.000 0.520 0.000
#> 881EACBD-B314-4A9E-A6DE-58DF9466AFB3 4 0.1597 0.7565 0.000 0.048 0.000 0.940 0.012
#> 195A6DF6-437D-4964-8872-C44F13E2CA4C 5 0.2017 0.8607 0.000 0.008 0.000 0.080 0.912
#> C40FD0B3-4773-490D-A342-B1CE8CC0A5BD 4 0.2020 0.7636 0.100 0.000 0.000 0.900 0.000
#> 613454BF-1A66-4DBB-90D0-246FC212DA4A 5 0.4763 0.6222 0.076 0.000 0.000 0.212 0.712
#> 5F121320-0F61-4BC0-BB69-F5C9A93BC118 1 0.0000 0.9281 1.000 0.000 0.000 0.000 0.000
#> E5637874-962B-4C43-8339-A6625D754DA8 4 0.2329 0.7397 0.000 0.124 0.000 0.876 0.000
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#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 2 0.0324 0.9175 0.000 0.992 0.000 0.004 0.004
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 3 0.4830 0.5697 0.000 0.256 0.684 0.060 0.000
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 1 0.2069 0.8711 0.912 0.000 0.000 0.012 0.076
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 5 0.0880 0.8576 0.000 0.000 0.032 0.000 0.968
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 2 0.0162 0.9172 0.000 0.996 0.000 0.004 0.000
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 5 0.4574 0.3921 0.012 0.000 0.000 0.412 0.576
#> A3343F40-F977-4F9B-856A-28781F10F4CD 2 0.0162 0.9172 0.000 0.996 0.000 0.004 0.000
#> DA144299-5541-47D7-A59E-C92896DF08FC 1 0.0579 0.9229 0.984 0.000 0.000 0.008 0.008
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 3 0.4256 0.1913 0.000 0.436 0.564 0.000 0.000
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.2329 0.8388 0.876 0.000 0.000 0.124 0.000
#> 617447CF-9327-4062-B22C-71A8944C948F 2 0.0162 0.9172 0.000 0.996 0.000 0.004 0.000
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0000 0.9281 1.000 0.000 0.000 0.000 0.000
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 2 0.0324 0.9164 0.000 0.992 0.004 0.004 0.000
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.0000 0.9281 1.000 0.000 0.000 0.000 0.000
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.0609 0.9101 0.000 0.980 0.020 0.000 0.000
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.0000 0.9281 1.000 0.000 0.000 0.000 0.000
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 3 0.0000 0.9452 0.000 0.000 1.000 0.000 0.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 2 0.0566 0.9141 0.000 0.984 0.012 0.004 0.000
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 3 0.0000 0.9452 0.000 0.000 1.000 0.000 0.000
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.0000 0.9281 1.000 0.000 0.000 0.000 0.000
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 1 0.1195 0.9106 0.960 0.000 0.028 0.012 0.000
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.0162 0.9174 0.000 0.996 0.004 0.000 0.000
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 5 0.4504 0.2876 0.428 0.000 0.000 0.008 0.564
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.3480 0.6762 0.752 0.000 0.000 0.248 0.000
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 3 0.0000 0.9452 0.000 0.000 1.000 0.000 0.000
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 3 0.0000 0.9452 0.000 0.000 1.000 0.000 0.000
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 1 0.1195 0.9086 0.960 0.000 0.000 0.012 0.028
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 5 0.3462 0.6601 0.196 0.000 0.000 0.012 0.792
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 4 0.3534 0.6518 0.256 0.000 0.000 0.744 0.000
#> DA1301D3-1F84-46C5-AB44-079493A81A51 5 0.0404 0.8571 0.000 0.000 0.000 0.012 0.988
#> A12B1681-B598-40C3-80FE-1801F3F1189D 5 0.1341 0.8526 0.000 0.000 0.000 0.056 0.944
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 5 0.6649 0.2853 0.000 0.268 0.000 0.284 0.448
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 4 0.1732 0.7536 0.000 0.080 0.000 0.920 0.000
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.1942 0.8705 0.000 0.920 0.068 0.000 0.012
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.0609 0.9118 0.000 0.980 0.000 0.020 0.000
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 1 0.2069 0.8715 0.912 0.000 0.000 0.012 0.076
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 3 0.1043 0.9136 0.000 0.000 0.960 0.000 0.040
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 3 0.0000 0.9452 0.000 0.000 1.000 0.000 0.000
#> 1D0379B1-0E99-4E6D-B890-907C92860654 4 0.1281 0.7462 0.000 0.032 0.000 0.956 0.012
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.0566 0.9130 0.000 0.984 0.000 0.012 0.004
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 2 0.2127 0.8405 0.000 0.892 0.000 0.108 0.000
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 2 0.0162 0.9172 0.000 0.996 0.000 0.004 0.000
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 4 0.3857 0.5555 0.312 0.000 0.000 0.688 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.0162 0.9172 0.000 0.996 0.000 0.004 0.000
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.1106 0.9111 0.964 0.000 0.000 0.012 0.024
#> ECC40A03-488E-4076-8A3A-234D968623AD 5 0.4775 0.6491 0.000 0.048 0.220 0.012 0.720
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0162 0.9272 0.996 0.000 0.000 0.004 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.0162 0.9172 0.000 0.996 0.000 0.000 0.004
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 1 0.2068 0.8632 0.904 0.000 0.004 0.000 0.092
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.0000 0.9174 0.000 1.000 0.000 0.000 0.000
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.0000 0.9281 1.000 0.000 0.000 0.000 0.000
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.2233 0.8604 0.000 0.904 0.080 0.016 0.000
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.9281 1.000 0.000 0.000 0.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.9281 1.000 0.000 0.000 0.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.0162 0.9172 0.000 0.996 0.000 0.004 0.000
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 3 0.5534 0.1147 0.424 0.000 0.508 0.068 0.000
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.0000 0.9174 0.000 1.000 0.000 0.000 0.000
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.9452 0.000 0.000 1.000 0.000 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 3 0.0000 0.9452 0.000 0.000 1.000 0.000 0.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.0000 0.9452 0.000 0.000 1.000 0.000 0.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 4 0.2017 0.7694 0.080 0.008 0.000 0.912 0.000
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 5 0.0609 0.8644 0.000 0.000 0.000 0.020 0.980
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.0451 0.9158 0.000 0.988 0.004 0.008 0.000
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.0510 0.9124 0.000 0.984 0.016 0.000 0.000
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.0324 0.9175 0.000 0.992 0.000 0.004 0.004
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.9281 1.000 0.000 0.000 0.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.1671 0.8822 0.924 0.000 0.000 0.076 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.2069 0.8714 0.912 0.000 0.000 0.012 0.076
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0162 0.9272 0.996 0.000 0.000 0.004 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.2773 0.7835 0.000 0.836 0.000 0.000 0.164
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.0324 0.9175 0.000 0.992 0.000 0.004 0.004
#> EB2D043E-B722-4E95-A8FE-68E23171705A 4 0.2813 0.7288 0.168 0.000 0.000 0.832 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.3048 0.7599 0.000 0.820 0.176 0.000 0.004
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.1750 0.8984 0.936 0.000 0.000 0.036 0.028
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.0290 0.9258 0.992 0.000 0.000 0.008 0.000
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.9452 0.000 0.000 1.000 0.000 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.0162 0.9272 0.996 0.000 0.000 0.004 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0260 0.87961 0.992 0.000 0.000 0.000 0.008 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.94370 0.000 0.000 1.000 0.000 0.000 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.1478 0.86971 0.944 0.000 0.000 0.004 0.032 0.020
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.1921 0.86209 0.924 0.004 0.000 0.004 0.044 0.024
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 5 0.4151 0.32278 0.412 0.000 0.000 0.004 0.576 0.008
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.0260 0.87961 0.992 0.000 0.000 0.000 0.008 0.000
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 4 0.4474 0.63935 0.000 0.188 0.000 0.704 0.000 0.108
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 6 0.3458 0.69656 0.000 0.044 0.000 0.128 0.012 0.816
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.2504 0.79466 0.856 0.000 0.000 0.004 0.136 0.004
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 4 0.2147 0.78625 0.000 0.000 0.000 0.896 0.084 0.020
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 4 0.2301 0.77902 0.000 0.000 0.000 0.884 0.096 0.020
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 3 0.2455 0.83909 0.000 0.004 0.872 0.000 0.112 0.012
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0405 0.87931 0.988 0.000 0.000 0.000 0.004 0.008
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 3 0.0458 0.93230 0.000 0.016 0.984 0.000 0.000 0.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 2 0.5162 0.55912 0.000 0.620 0.000 0.168 0.000 0.212
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.1219 0.87357 0.000 0.948 0.000 0.004 0.000 0.048
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0146 0.87997 0.996 0.000 0.000 0.000 0.004 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0508 0.87826 0.984 0.000 0.000 0.012 0.004 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 1 0.1555 0.85989 0.932 0.000 0.000 0.004 0.060 0.004
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0291 0.87956 0.992 0.000 0.000 0.000 0.004 0.004
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 6 0.2730 0.80358 0.000 0.000 0.000 0.000 0.192 0.808
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.1418 0.87645 0.000 0.944 0.024 0.000 0.000 0.032
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 2 0.4971 0.13663 0.000 0.508 0.000 0.424 0.000 0.068
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0146 0.87968 0.996 0.000 0.000 0.000 0.004 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 6 0.3955 0.56101 0.000 0.004 0.000 0.000 0.436 0.560
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 5 0.0405 0.64395 0.008 0.000 0.000 0.004 0.988 0.000
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.0000 0.88274 0.000 1.000 0.000 0.000 0.000 0.000
#> 375FE390-434B-41D3-9029-84065B1D7B6F 5 0.4256 0.02296 0.000 0.016 0.000 0.464 0.520 0.000
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.2500 0.82203 0.868 0.000 0.000 0.116 0.004 0.012
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.0458 0.88153 0.000 0.984 0.016 0.000 0.000 0.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.2739 0.83948 0.000 0.872 0.084 0.012 0.000 0.032
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 6 0.3431 0.80549 0.000 0.016 0.000 0.000 0.228 0.756
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 6 0.5713 0.46869 0.000 0.172 0.000 0.000 0.352 0.476
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.0146 0.87968 0.996 0.000 0.000 0.000 0.004 0.000
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 3 0.1908 0.85899 0.000 0.096 0.900 0.000 0.000 0.004
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 6 0.3829 0.79448 0.000 0.060 0.000 0.000 0.180 0.760
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 1 0.0713 0.87667 0.972 0.000 0.000 0.000 0.028 0.000
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0000 0.94370 0.000 0.000 1.000 0.000 0.000 0.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.0146 0.87997 0.996 0.000 0.000 0.000 0.004 0.000
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.0000 0.94370 0.000 0.000 1.000 0.000 0.000 0.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 2 0.2318 0.85288 0.000 0.892 0.000 0.044 0.000 0.064
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.0000 0.94370 0.000 0.000 1.000 0.000 0.000 0.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.0000 0.94370 0.000 0.000 1.000 0.000 0.000 0.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 1 0.0653 0.87797 0.980 0.000 0.000 0.004 0.004 0.012
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 4 0.0632 0.82560 0.000 0.000 0.000 0.976 0.000 0.024
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.0692 0.87785 0.976 0.000 0.000 0.004 0.020 0.000
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 2 0.1967 0.85846 0.000 0.904 0.000 0.012 0.000 0.084
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 1 0.0260 0.87961 0.992 0.000 0.000 0.000 0.008 0.000
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.0632 0.87754 0.976 0.000 0.000 0.000 0.024 0.000
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 6 0.2823 0.80468 0.000 0.000 0.000 0.000 0.204 0.796
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.0000 0.88274 0.000 1.000 0.000 0.000 0.000 0.000
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 4 0.0291 0.83042 0.000 0.004 0.000 0.992 0.000 0.004
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.0000 0.94370 0.000 0.000 1.000 0.000 0.000 0.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 4 0.3101 0.53824 0.244 0.000 0.000 0.756 0.000 0.000
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 5 0.1398 0.61796 0.000 0.008 0.000 0.000 0.940 0.052
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 2 0.3150 0.79949 0.000 0.828 0.000 0.120 0.000 0.052
#> 208165C0-229B-49E2-A22A-575CA3157C9E 6 0.4815 0.59812 0.000 0.048 0.000 0.004 0.396 0.552
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 4 0.0632 0.82195 0.024 0.000 0.000 0.976 0.000 0.000
#> 01397021-8495-4D89-885A-166B4DBA0122 3 0.0000 0.94370 0.000 0.000 1.000 0.000 0.000 0.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 3 0.0000 0.94370 0.000 0.000 1.000 0.000 0.000 0.000
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.0436 0.87900 0.988 0.000 0.000 0.004 0.004 0.004
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 2 0.1267 0.86702 0.000 0.940 0.000 0.060 0.000 0.000
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 2 0.3424 0.80807 0.000 0.812 0.092 0.000 0.000 0.096
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 3 0.0000 0.94370 0.000 0.000 1.000 0.000 0.000 0.000
#> AA569A06-0F37-4492-93F3-60A4539A3E82 2 0.3974 0.72049 0.000 0.780 0.000 0.012 0.128 0.080
#> BC53FB75-94CA-48C3-875B-5987037D186F 2 0.4563 0.59781 0.000 0.700 0.000 0.000 0.164 0.136
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 1 0.1584 0.86583 0.928 0.000 0.000 0.064 0.008 0.000
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 6 0.3265 0.79728 0.000 0.000 0.004 0.000 0.248 0.748
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 2 0.4989 0.48713 0.000 0.640 0.000 0.000 0.140 0.220
#> DF67F589-A607-4B95-96B8-4BB344132312 3 0.5888 0.23215 0.000 0.364 0.468 0.008 0.160 0.000
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#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 5 0.2948 0.57162 0.188 0.000 0.000 0.000 0.804 0.008
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#> DA1301D3-1F84-46C5-AB44-079493A81A51 5 0.0405 0.64163 0.004 0.000 0.000 0.000 0.988 0.008
#> A12B1681-B598-40C3-80FE-1801F3F1189D 5 0.1779 0.63400 0.000 0.000 0.000 0.064 0.920 0.016
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 6 0.1251 0.71331 0.000 0.008 0.000 0.012 0.024 0.956
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 4 0.0820 0.82813 0.000 0.012 0.000 0.972 0.000 0.016
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.0881 0.87984 0.000 0.972 0.008 0.000 0.012 0.008
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.2696 0.82653 0.000 0.856 0.000 0.116 0.000 0.028
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#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 3 0.4675 0.69471 0.000 0.064 0.748 0.000 0.092 0.096
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 3 0.1663 0.87369 0.000 0.088 0.912 0.000 0.000 0.000
#> 1D0379B1-0E99-4E6D-B890-907C92860654 6 0.2700 0.55532 0.000 0.004 0.000 0.156 0.004 0.836
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.2491 0.77989 0.000 0.836 0.000 0.000 0.000 0.164
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 2 0.2191 0.81617 0.000 0.876 0.000 0.120 0.000 0.004
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 2 0.0717 0.88117 0.000 0.976 0.000 0.008 0.000 0.016
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.5368 0.51622 0.592 0.000 0.000 0.260 0.004 0.144
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.0000 0.88274 0.000 1.000 0.000 0.000 0.000 0.000
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#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.7394 -0.06972 0.000 0.360 0.304 0.008 0.240 0.088
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.1080 0.87295 0.960 0.000 0.000 0.004 0.032 0.004
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.0260 0.88234 0.000 0.992 0.000 0.000 0.000 0.008
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 1 0.1053 0.87695 0.964 0.000 0.012 0.000 0.004 0.020
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#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.1900 0.85799 0.916 0.000 0.000 0.008 0.068 0.008
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.3920 0.69004 0.000 0.736 0.048 0.216 0.000 0.000
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0653 0.87797 0.980 0.000 0.000 0.004 0.004 0.012
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0146 0.87968 0.996 0.000 0.000 0.000 0.004 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.0146 0.88273 0.000 0.996 0.000 0.000 0.000 0.004
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.4082 0.30889 0.560 0.000 0.432 0.004 0.004 0.000
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.0000 0.88274 0.000 1.000 0.000 0.000 0.000 0.000
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.94370 0.000 0.000 1.000 0.000 0.000 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 3 0.1007 0.91121 0.000 0.044 0.956 0.000 0.000 0.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.0000 0.94370 0.000 0.000 1.000 0.000 0.000 0.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 4 0.0146 0.82909 0.004 0.000 0.000 0.996 0.000 0.000
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 5 0.4097 -0.43430 0.000 0.000 0.008 0.000 0.500 0.492
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.2519 0.85028 0.000 0.884 0.004 0.044 0.000 0.068
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.1049 0.87785 0.000 0.960 0.008 0.000 0.000 0.032
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.0458 0.88111 0.000 0.984 0.000 0.016 0.000 0.000
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.1080 0.87324 0.960 0.000 0.000 0.004 0.004 0.032
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.3039 0.81374 0.848 0.000 0.000 0.060 0.004 0.088
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 5 0.3838 0.21000 0.448 0.000 0.000 0.000 0.552 0.000
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0458 0.87914 0.984 0.000 0.000 0.000 0.016 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.1682 0.85517 0.000 0.928 0.000 0.000 0.052 0.020
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.0146 0.88262 0.000 0.996 0.000 0.004 0.000 0.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.6047 0.25071 0.448 0.000 0.000 0.228 0.004 0.320
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.3241 0.81164 0.000 0.848 0.080 0.000 0.032 0.040
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.2973 0.80321 0.836 0.000 0.000 0.024 0.004 0.136
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.1155 0.87168 0.956 0.000 0.000 0.004 0.036 0.004
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.94370 0.000 0.000 1.000 0.000 0.000 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.0790 0.87582 0.968 0.000 0.000 0.000 0.032 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 17654 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'CV' method.
#> Subgroups are detected by 'hclust' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 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 0.371 0.717 0.858 0.3585 0.665 0.665
#> 3 3 0.361 0.694 0.817 0.1645 0.913 0.878
#> 4 4 0.386 0.747 0.825 0.4529 0.661 0.508
#> 5 5 0.460 0.609 0.810 0.1017 0.972 0.925
#> 6 6 0.534 0.611 0.771 0.0674 0.966 0.905
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
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.81568 1.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 2 0.0000 0.80763 0.000 1.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.2043 0.82077 0.968 0.032
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.3733 0.81720 0.928 0.072
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.2603 0.82068 0.956 0.044
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.0000 0.81568 1.000 0.000
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 1 0.7219 0.77943 0.800 0.200
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 1 0.7299 0.77946 0.796 0.204
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.0000 0.81568 1.000 0.000
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 1 0.6973 0.78453 0.812 0.188
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.5059 0.80988 0.888 0.112
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 2 0.2778 0.79744 0.048 0.952
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.81568 1.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 2 0.9944 0.06686 0.456 0.544
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 1 0.7139 0.78058 0.804 0.196
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 1 0.9248 0.60806 0.660 0.340
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0000 0.81568 1.000 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.81568 1.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 1 0.9850 -0.02663 0.572 0.428
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0000 0.81568 1.000 0.000
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 1 0.6973 0.78530 0.812 0.188
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.3733 0.78716 0.072 0.928
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 1 0.7299 0.77714 0.796 0.204
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0000 0.81568 1.000 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 1 0.7528 0.77185 0.784 0.216
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 1 0.2236 0.82172 0.964 0.036
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 1 0.9963 0.27217 0.536 0.464
#> 375FE390-434B-41D3-9029-84065B1D7B6F 1 0.8016 0.74756 0.756 0.244
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 0.81568 1.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 1 0.9000 0.64993 0.684 0.316
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.9922 0.12053 0.448 0.552
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.5629 0.74987 0.132 0.868
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.7056 0.69725 0.192 0.808
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.0938 0.81487 0.988 0.012
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 2 0.4022 0.78415 0.080 0.920
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 1 0.7299 0.77709 0.796 0.204
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 1 0.0000 0.81568 1.000 0.000
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 2 0.0000 0.80763 0.000 1.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.0000 0.81568 1.000 0.000
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 2 0.0000 0.80763 0.000 1.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 1 0.7299 0.77714 0.796 0.204
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 2 0.0000 0.80763 0.000 1.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 2 0.0000 0.80763 0.000 1.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 1 0.0000 0.81568 1.000 0.000
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 1 0.6712 0.78966 0.824 0.176
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.0376 0.81418 0.996 0.004
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 1 0.7815 0.75584 0.768 0.232
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 1 0.0938 0.81740 0.988 0.012
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.0376 0.81697 0.996 0.004
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 1 0.7299 0.77738 0.796 0.204
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 1 0.8861 0.67190 0.696 0.304
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 1 0.7528 0.77217 0.784 0.216
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 2 0.0000 0.80763 0.000 1.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.0672 0.81795 0.992 0.008
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 1 0.9460 0.56830 0.636 0.364
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 1 0.7376 0.77476 0.792 0.208
#> 208165C0-229B-49E2-A22A-575CA3157C9E 1 0.7376 0.77696 0.792 0.208
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 1 0.2043 0.81592 0.968 0.032
#> 01397021-8495-4D89-885A-166B4DBA0122 2 0.0000 0.80763 0.000 1.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 2 0.0000 0.80763 0.000 1.000
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.0000 0.81568 1.000 0.000
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 1 0.7602 0.76712 0.780 0.220
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 2 0.8144 0.61912 0.252 0.748
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 2 0.2948 0.79593 0.052 0.948
#> AA569A06-0F37-4492-93F3-60A4539A3E82 1 0.7376 0.77478 0.792 0.208
#> BC53FB75-94CA-48C3-875B-5987037D186F 2 0.8443 0.58464 0.272 0.728
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 1 0.0000 0.81568 1.000 0.000
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 2 0.6712 0.71258 0.176 0.824
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 1 0.7376 0.77478 0.792 0.208
#> DF67F589-A607-4B95-96B8-4BB344132312 2 0.7950 0.63637 0.240 0.760
#> A65233E6-C146-4ACF-8DDE-5FB12D8D9637 2 0.0000 0.80763 0.000 1.000
#> 7578C9A3-FFF8-45C4-AC28-1C6141A9A2AD 1 0.0000 0.81568 1.000 0.000
#> 4DF775B9-E2FE-4F5E-8329-C37E21C5D10E 1 0.1184 0.81714 0.984 0.016
#> 5E6B86C6-3D79-47BB-9FAF-CA22659CFEA7 1 0.2603 0.82130 0.956 0.044
#> 53286128-668B-47EA-9A5F-D768FDCCBE88 1 0.0376 0.81732 0.996 0.004
#> 01C9F351-97FE-4037-A879-9D96A3DD3FBB 2 0.0376 0.80705 0.004 0.996
#> 5487DB21-6A58-46AC-A2A1-E343082D41D8 1 0.2603 0.79281 0.956 0.044
#> 0FB3E997-4E31-4FA6-9654-11C3C0AF8D86 1 0.9608 0.52132 0.616 0.384
#> A0706E80-FDF9-4721-BEB4-90527F6D38C4 1 1.0000 0.15806 0.504 0.496
#> 5260226E-1826-4F54-8237-28993DD2EF04 2 0.0000 0.80763 0.000 1.000
#> F53F71A7-A399-49AB-8657-019C5C56F48C 1 0.7528 0.77185 0.784 0.216
#> 008159F2-5247-479A-8BFE-C394888D0B74 1 0.7376 0.77476 0.792 0.208
#> 9E6BA6FB-35F2-4510-94AE-3E7CDFED3D47 2 0.0000 0.80763 0.000 1.000
#> F12BE7AC-D2DD-4AD1-AB37-32DC85954F59 1 0.7056 0.78551 0.808 0.192
#> 38A6BA1F-B444-4155-A168-EC2DF0EE0785 1 0.1843 0.81463 0.972 0.028
#> B107D1DE-EE52-4E89-B75A-91124BFF99AE 2 0.0000 0.80763 0.000 1.000
#> D4D16D09-8895-4BEA-ABF7-F11C5D5BDCAA 1 0.0672 0.81218 0.992 0.008
#> 9A53C473-1364-4BB6-AD36-EF53E0208450 1 0.0672 0.81827 0.992 0.008
#> F00C0ED6-C811-4F32-BDB4-4ACA7861DC7D 1 0.8327 0.72212 0.736 0.264
#> 72618985-CD49-4B6F-8CB0-5EE590FAD09A 1 0.7299 0.77709 0.796 0.204
#> 978A315F-CCE9-4D03-A680-C0AD60B10557 1 0.9580 0.52527 0.620 0.380
#> B6EACAED-3944-4510-B685-0BB8D1651D4F 1 0.2603 0.82096 0.956 0.044
#> EBCF16B4-A804-45EB-8253-0F28A2645729 1 0.1184 0.81428 0.984 0.016
#> 637DC441-4A75-4DA8-8F65-91FDB5F103C7 1 0.2778 0.81869 0.952 0.048
#> 89F67654-A246-4307-9B17-4A1C01DB1AED 1 0.9000 0.64993 0.684 0.316
#> 3A8EB57B-71ED-4169-A8EB-624C67CDBBE1 2 1.0000 -0.11822 0.496 0.504
#> CC4DA9C6-CAB2-44FF-8219-D293ECD07DD4 1 0.0376 0.81697 0.996 0.004
#> AEC4FDAA-8F60-43CE-8EBB-5629FA662F16 1 0.8207 0.73318 0.744 0.256
#> BFC0D795-64F4-48B3-AD08-8C564E5E5367 1 0.0000 0.81568 1.000 0.000
#> 907BBBA4-4E7B-4808-892E-F80525C3CFA3 1 0.7299 0.77738 0.796 0.204
#> 7F21FA19-1468-4A65-A10A-A9727218A5EF 1 0.0000 0.81568 1.000 0.000
#> 905A026A-0B13-4AD3-B2BB-9A5AE76920AF 1 0.7299 0.77714 0.796 0.204
#> 6DDFC760-7BED-4A68-8DDA-9453D0FC9C1D 1 0.0000 0.81568 1.000 0.000
#> B3AFF323-BAAD-4512-A837-20C430EA39D1 1 0.2043 0.82160 0.968 0.032
#> 193E9034-42A2-4701-AA3E-2E852CA5C043 1 0.0000 0.81568 1.000 0.000
#> 8B6127D5-D3BB-4E17-914C-3ED1E2A52078 1 0.8443 0.71383 0.728 0.272
#> BD6E5E3C-DC43-4A85-84DF-84C68ABB851A 1 0.7299 0.77714 0.796 0.204
#> 881EACBD-B314-4A9E-A6DE-58DF9466AFB3 1 0.7528 0.77217 0.784 0.216
#> 195A6DF6-437D-4964-8872-C44F13E2CA4C 1 0.8081 0.74665 0.752 0.248
#> C40FD0B3-4773-490D-A342-B1CE8CC0A5BD 1 0.0000 0.81568 1.000 0.000
#> 613454BF-1A66-4DBB-90D0-246FC212DA4A 1 0.0000 0.81568 1.000 0.000
#> 5F121320-0F61-4BC0-BB69-F5C9A93BC118 1 0.0000 0.81568 1.000 0.000
#> E5637874-962B-4C43-8339-A6625D754DA8 1 0.7219 0.77943 0.800 0.200
#> 7614BF19-E3A2-492A-ABC0-557B274CA326 1 0.9248 0.27062 0.660 0.340
#> 6EB070B1-45C3-46DB-BFF9-6D9A137EC3A8 1 0.7299 0.77709 0.796 0.204
#> 873EEA1A-8AA1-4C83-B001-7BD64343ADE1 1 0.0376 0.81697 0.996 0.004
#> 2DCF0812-AC29-4BC2-8929-4D3D7B0F6335 1 0.9522 0.54483 0.628 0.372
#> 9391B623-4EC1-43A2-85EC-7B80BE87827D 1 0.9815 0.00422 0.580 0.420
#> 32A000F1-BAEA-41D2-AC75-02255A5BF2F2 1 0.7453 0.77394 0.788 0.212
#> 9C1016CE-3EAB-4FA7-806B-C8F6B08B4EA1 1 0.6438 0.79404 0.836 0.164
#> C7C4E75E-887F-4D11-9FDC-32292895A6B3 1 0.7528 0.77185 0.784 0.216
#> 54739A62-512F-499F-AFE1-B7C631B35272 1 0.0000 0.81568 1.000 0.000
#> 4476DF0E-6BB4-4682-BF59-E61071D4184E 1 0.1843 0.82061 0.972 0.028
#> DCCC6566-8A72-411D-B8F0-CC92B6D973AF 1 0.7453 0.77395 0.788 0.212
#> 781AEC2C-2604-4DAA-A55C-D07A305AF32E 1 0.4815 0.79241 0.896 0.104
#> CB6BBA89-F467-4E0E-9DD1-04631E23D18C 1 0.0938 0.81834 0.988 0.012
#> 42E0E49F-0F6A-4787-87E8-E5CEA94822F9 2 0.6712 0.71258 0.176 0.824
#> B6466D8A-6CD3-4C90-B1FC-72EBDD93AE47 1 0.7056 0.78275 0.808 0.192
#> EEBC342F-80C7-428B-A69C-35962A8A0251 2 0.8207 0.61656 0.256 0.744
#> 38CB2DA4-D03B-4AAD-820E-B3475C52A945 1 0.7528 0.77066 0.784 0.216
#> E924E4B6-F88B-4F6B-B381-24D125C05D4F 2 0.0000 0.80763 0.000 1.000
#> C207F0D6-55B8-4353-8A7D-F1BA623BED96 1 0.9850 -0.02663 0.572 0.428
#> 980CBBAE-2C02-4150-8BDB-B67713B6425C 2 0.0000 0.80763 0.000 1.000
#> 2E2A42A8-50A7-4409-8504-949A2B8A46A6 1 0.0000 0.81568 1.000 0.000
#> 65B6391B-3178-4AB3-9AA8-2FFAC5491988 1 0.9552 0.53699 0.624 0.376
#> 78EEB2C7-4B64-4CB0-9C94-E2AC46A75237 1 0.6712 0.78966 0.824 0.176
#> 4F05A349-3B06-425C-A8CC-63C1B23A3D65 1 0.0376 0.81708 0.996 0.004
#> 1CE1B4DB-1F7B-4F30-BAA1-E0252199F05B 2 0.3431 0.79157 0.064 0.936
#> 05FAAE20-A94E-41FA-B6B6-7DDCFB4F9657 1 0.0376 0.81732 0.996 0.004
#> 8C635DC8-6BED-46F6-893F-2AFB6CB3481A 1 0.2236 0.82088 0.964 0.036
#> 48410523-5F22-4531-97FA-7C796AD58989 1 0.0000 0.81568 1.000 0.000
#> B68D29BD-EDC7-4375-99F7-C5DAF72F3BA6 1 0.0000 0.81568 1.000 0.000
#> 417DC694-EA89-4AE0-94AC-88CA7E4BAA0B 1 0.0000 0.81568 1.000 0.000
#> 64CC8829-8B70-4B43-A364-4905139379E4 1 0.6712 0.78966 0.824 0.176
#> 9E7B3CD8-5195-4757-AC99-F96FDD02B6EC 1 0.4562 0.81330 0.904 0.096
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#> 33F7A63D-D2DC-4A7F-A29A-965E3786B187 1 0.0000 0.81568 1.000 0.000
#> E5092C6E-894C-4FE7-8CCF-A74E23303E09 1 0.0000 0.81568 1.000 0.000
#> E5F03831-7077-4ABB-AB3F-7AEA2AAC529B 2 0.0000 0.80763 0.000 1.000
#> 4770600E-74BC-405F-B175-D337C0375285 1 0.8327 0.72212 0.736 0.264
#> 2FD60201-C797-4782-A1F7-45345E334B28 1 0.0000 0.81568 1.000 0.000
#> 371959B1-8D14-4FD1-A854-3DFB92D097FA 1 0.8608 0.70208 0.716 0.284
#> CD5AE438-D578-472E-B7B2-1DBD52D43233 1 0.9608 0.51941 0.616 0.384
#> 8DABCB90-2352-452A-8A71-4A359F50863B 1 0.2948 0.82065 0.948 0.052
#> 0A562D9C-52B2-4CE1-8173-4874835682E5 1 0.9866 0.39067 0.568 0.432
#> E3746081-2D1B-470B-A308-4B2E3A139C21 1 0.0376 0.81697 0.996 0.004
#> A7154064-ADD6-4D31-9622-8051F9A94BD2 1 0.8081 0.74930 0.752 0.248
#> D125BE69-EA3E-4E26-83B3-966C9B4E2E1D 1 0.0000 0.81568 1.000 0.000
#> D4A7D4B9-2E9D-4ED5-886F-664A212C9BE1 2 0.3274 0.79320 0.060 0.940
#> 1EFC6C80-2CBC-4F7F-9D95-D3259F22AED3 1 0.2778 0.81869 0.952 0.048
#> 9A0F8AF1-6845-474B-9897-F884E44DF78B 1 0.0000 0.81568 1.000 0.000
#> 5FFEF93E-3421-44BC-95BE-CA07D2343CD9 1 0.0000 0.81568 1.000 0.000
#> 706CD6CB-20D1-4B61-91CE-96468AFAB948 1 0.2778 0.81977 0.952 0.048
#> E75D87AF-DC22-4A00-8DAC-EDE1D242B3E5 1 0.7528 0.77185 0.784 0.216
#> B6428D53-EA3B-41A1-9092-3B47BF9F6089 1 0.2603 0.82130 0.956 0.044
#> 726D44D6-0732-44EA-B911-A5A1F0A758CF 1 0.2603 0.82154 0.956 0.044
#> E9FDE3D9-2845-4737-8957-BF36D7B39464 1 0.5519 0.80553 0.872 0.128
#> A70A345C-7683-4176-869B-8EDEFD966C1B 1 0.0000 0.81568 1.000 0.000
#> AB1C8455-7C2F-4154-95EF-B23EB5FD405A 1 0.8555 0.71451 0.720 0.280
#> 052F9CFB-8816-4A1D-B3C2-6A50168F7299 1 0.0000 0.81568 1.000 0.000
#> A821C6AB-91E5-4A72-8F3F-5D628FA351F0 2 0.0000 0.80763 0.000 1.000
#> 1D7F357E-0075-4AFA-BFCB-0297B90800F1 2 0.4298 0.77862 0.088 0.912
#> 5984264D-BD86-4D2F-8718-7DCAE974F50B 1 0.6973 0.78453 0.812 0.188
#> F24CC083-662D-457C-9BEC-3B68D63236AE 1 0.7528 0.77185 0.784 0.216
#> 48350BD7-9F6E-4DB5-B34A-F47B0BA74EF6 1 0.9710 0.48191 0.600 0.400
#> 94523D56-65BB-4860-9B7F-5859F5C82C05 2 0.0000 0.80763 0.000 1.000
#> CED33410-C7DE-43CC-941A-7652B200E5BB 1 0.8386 0.72048 0.732 0.268
#> 7E122E61-7895-4322-97BE-ABC29D7B7EA9 2 0.0000 0.80763 0.000 1.000
#> 60506411-6B29-49B4-9183-F54EE8B02CC4 1 0.2603 0.82068 0.956 0.044
#> ED52DF66-827A-4A8C-8E50-03C85FA04508 1 0.1843 0.81463 0.972 0.028
#> AB3B48ED-CFF9-4D66-BF3A-E9267D57BA14 1 0.8016 0.74372 0.756 0.244
#> 248A7931-1EB5-47E3-A966-E6AF62E21FC1 2 0.0000 0.80763 0.000 1.000
#> CB846F43-7719-4B7E-946B-32E6384F3CC4 1 0.4298 0.76449 0.912 0.088
#> 940E691A-04A2-410F-B1FB-A66A3BFE10E7 2 0.0000 0.80763 0.000 1.000
#> C3842EA2-E3BC-48DE-9B59-92145AC2F716 2 0.0000 0.80763 0.000 1.000
#> 497FB1B2-A998-44F3-8D69-6974314F941D 1 0.7299 0.77709 0.796 0.204
#> 4BAA88D6-4A88-4D54-9B0E-83365CC85C39 1 0.6247 0.68153 0.844 0.156
#> 7480A3B3-3BF8-4123-8E2E-8C2B52688EC6 2 0.9944 0.06686 0.456 0.544
#> AE3211D1-65C0-46B1-A67F-741C21A7D1C4 1 0.9358 0.58738 0.648 0.352
#> D7244456-CB99-4893-85FE-65082CC4F17C 1 0.8267 0.72650 0.740 0.260
#> C4E0F193-49DC-4A49-84BB-337AAF277145 1 0.2423 0.82085 0.960 0.040
#> E2DF7E97-6BE1-412C-B71D-151B87739653 1 0.7528 0.77185 0.784 0.216
#> 022BCEE2-4794-4D5D-87E5-22CD25FDBA98 2 0.9963 0.03106 0.464 0.536
#> 2AF33CEA-C327-4A31-84D8-C4F26E8A3ECF 1 0.6712 0.78966 0.824 0.176
#> E877B9C0-11C5-4CC8-BAE1-AC210535F3DB 1 0.6531 0.79267 0.832 0.168
#> 0E737E9F-1045-4B86-A290-ED927D5DE7BF 1 0.9209 0.62007 0.664 0.336
#> D1B88E26-3B64-4E1A-8E50-22AD100BD9F9 1 0.7376 0.77476 0.792 0.208
#> 3AEB8943-FE34-4014-B851-BBF83857A794 1 0.7528 0.77066 0.784 0.216
#> BECD727E-E3C1-4C42-9047-D97B7444B20B 1 0.7299 0.77714 0.796 0.204
#> AF866E63-9EA1-4669-B9C4-FC7E877334AE 2 0.5842 0.74400 0.140 0.860
#> F9C8E54A-4CE4-4839-B0CA-58678461EEF1 1 0.9580 0.52763 0.620 0.380
#> AE818BC4-05BF-4E85-A4AD-F3E43DD7D37A 1 0.9522 0.54617 0.628 0.372
#> BA73A860-CADE-408D-8D27-14EADA2B53B0 1 0.6531 0.79267 0.832 0.168
#> 688858C8-48CA-43E9-AE2C-B9D4F80B5EE9 1 0.9850 0.39565 0.572 0.428
#> EB1D52B2-17B3-491E-B484-1235633D6925 1 0.7602 0.76968 0.780 0.220
#> AE261B5D-3881-40B9-8EE7-26B950E0BE16 1 0.0376 0.81418 0.996 0.004
#> 8C9851D5-3091-4DE0-A59E-9122C0CA1CD2 1 0.9522 0.54516 0.628 0.372
#> C8180F95-4E9C-45DB-B959-B47F64167C2D 1 0.7299 0.77714 0.796 0.204
#> 552D3B42-8D22-4B64-B3A2-B3E5D51A8524 2 0.7056 0.69685 0.192 0.808
#> FED9F364-BC3F-4134-BF4B-4D24B0EB8315 1 0.2423 0.82085 0.960 0.040
#> 7B0D7792-C803-4DD0-B9BF-CB83DA2D199A 1 0.0000 0.81568 1.000 0.000
#> B4F82CBB-A47C-44C3-81AC-CF775FF06FCD 1 0.0376 0.81707 0.996 0.004
#> BFAB10CF-5B24-40F7-92E7-C2E60DD779EF 1 0.0672 0.81697 0.992 0.008
#> E4E259E1-48B2-4C76-B113-E46270742F53 1 0.9522 0.55138 0.628 0.372
#> 81FCBC31-367A-4B1C-A832-B133E4A43738 1 0.7815 0.75972 0.768 0.232
#> 8690FA0F-9C1C-4D97-813A-3FB56827FBFC 2 0.9775 0.25777 0.412 0.588
#> 9810CF0C-99D1-445B-B1F9-C956D2438495 2 0.0000 0.80763 0.000 1.000
#> 2F5073E1-9EDD-46B5-95E3-8314E2A5B620 1 0.2423 0.82129 0.960 0.040
#> B454F9FB-439A-43B5-877D-752D0F138AB5 2 0.9970 0.01372 0.468 0.532
#> 287F2B71-92F8-4D14-8249-C1BFBB254BE7 1 0.0672 0.81795 0.992 0.008
#> 52DC920F-0AD5-47CE-BD81-31843876B71E 1 0.0000 0.81568 1.000 0.000
#> 6BAC4B1B-C3FC-4A09-9821-232E510E6A47 1 0.2236 0.82147 0.964 0.036
#> A2B87EED-0D8E-4B20-85D3-FD9CC5E2E806 1 0.0000 0.81568 1.000 0.000
#> 43E6DB93-2DA6-4F0F-BF81-0C3869134D2B 1 0.0000 0.81568 1.000 0.000
#> 09A2ED74-A7C7-4DBB-8EDD-C80D0F0AEFDF 1 0.0000 0.81568 1.000 0.000
#> 35EDCB52-D4B5-4305-8A74-95EFE6F2BFB1 1 0.0376 0.81396 0.996 0.004
#> D5D18AF8-9CC2-496C-A83A-31BBA0195CFD 1 0.4298 0.81428 0.912 0.088
#> 03767EDF-2F8A-41DE-8D80-F4BE861225A3 1 0.8081 0.52783 0.752 0.248
#> 586BC656-AD9C-44EF-9ED4-87DEEB5C8AA6 1 0.0376 0.81396 0.996 0.004
#> 23CA1146-CB1B-4054-A4FF-200B87444BF9 1 0.0000 0.81568 1.000 0.000
#> 910E9B6D-E7D5-4C83-A19C-1EEA6E135639 1 0.6531 0.79267 0.832 0.168
#> F36353A3-6CE6-4347-A78B-0AAD8FAB14AD 1 0.0000 0.81568 1.000 0.000
#> 2045736E-7D0F-4B17-B74B-3B12AEE3E68C 1 0.0000 0.81568 1.000 0.000
#> 5EFA2C2D-30B3-4D66-9601-354711F9FC56 2 0.0000 0.80763 0.000 1.000
#> 3FBD381D-84C8-4680-980B-CC4B7924BE06 1 0.9833 0.41088 0.576 0.424
#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 1 0.7299 0.77738 0.796 0.204
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 1 0.0376 0.81697 0.996 0.004
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 1 0.8267 0.72674 0.740 0.260
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 1 0.7883 0.75818 0.764 0.236
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 1 0.4161 0.79564 0.916 0.084
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 1 0.9522 0.55138 0.628 0.372
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 1 0.7299 0.77714 0.796 0.204
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 1 0.2603 0.82130 0.956 0.044
#> A3343F40-F977-4F9B-856A-28781F10F4CD 1 0.8555 0.70504 0.720 0.280
#> DA144299-5541-47D7-A59E-C92896DF08FC 1 0.2778 0.82034 0.952 0.048
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 1 0.9954 0.28871 0.540 0.460
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.0000 0.81568 1.000 0.000
#> 617447CF-9327-4062-B22C-71A8944C948F 1 0.7883 0.75154 0.764 0.236
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0000 0.81568 1.000 0.000
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 1 0.9248 0.60806 0.660 0.340
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.0000 0.81568 1.000 0.000
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 1 0.9833 0.40720 0.576 0.424
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.0000 0.81568 1.000 0.000
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 2 0.0000 0.80763 0.000 1.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 1 0.7299 0.77714 0.796 0.204
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 2 0.0000 0.80763 0.000 1.000
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.2043 0.82077 0.968 0.032
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 1 0.2423 0.82007 0.960 0.040
#> 69365512-8052-4BEA-B60D-9E065DD436BB 1 0.9775 0.44256 0.588 0.412
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 1 0.0376 0.81707 0.996 0.004
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.0000 0.81568 1.000 0.000
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 2 0.2603 0.79877 0.044 0.956
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 2 0.3584 0.78971 0.068 0.932
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 1 0.4431 0.75064 0.908 0.092
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 1 0.6247 0.68153 0.844 0.156
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.0000 0.81568 1.000 0.000
#> DA1301D3-1F84-46C5-AB44-079493A81A51 1 0.1414 0.82064 0.980 0.020
#> A12B1681-B598-40C3-80FE-1801F3F1189D 1 0.2423 0.82129 0.960 0.040
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 1 0.7528 0.77185 0.784 0.216
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 1 0.7299 0.77714 0.796 0.204
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.9983 -0.02348 0.476 0.524
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 1 0.7299 0.77828 0.796 0.204
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 1 0.1633 0.80227 0.976 0.024
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.7950 0.63637 0.240 0.760
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.9944 0.06686 0.456 0.544
#> 1D0379B1-0E99-4E6D-B890-907C92860654 1 0.7056 0.78551 0.808 0.192
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 1 0.8713 0.69385 0.708 0.292
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 1 0.7883 0.75404 0.764 0.236
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 1 0.7299 0.77714 0.796 0.204
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0000 0.81568 1.000 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 1 0.9732 0.46689 0.596 0.404
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.0376 0.81697 0.996 0.004
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.8016 0.63045 0.244 0.756
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0376 0.81697 0.996 0.004
#> D3B955AA-F27A-483A-9314-75277253EE6F 1 0.9608 0.51634 0.616 0.384
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 1 0.3584 0.77895 0.932 0.068
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.9998 -0.09903 0.492 0.508
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.0000 0.81568 1.000 0.000
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 1 0.7299 0.77828 0.796 0.204
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.81568 1.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.81568 1.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 1 0.9393 0.57774 0.644 0.356
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.2043 0.81830 0.968 0.032
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 1 0.9775 0.44576 0.588 0.412
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 2 0.0000 0.80763 0.000 1.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 2 0.0376 0.80705 0.004 0.996
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 2 0.1843 0.80231 0.028 0.972
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 1 0.6531 0.79267 0.832 0.168
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.9998 -0.10065 0.492 0.508
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 1 0.7299 0.77714 0.796 0.204
#> 479A968D-4692-404B-A866-B74E7DD17995 1 0.9552 0.53699 0.624 0.376
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 1 0.7376 0.77500 0.792 0.208
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.81568 1.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.81568 1.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.0376 0.81708 0.996 0.004
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0000 0.81568 1.000 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.6048 0.73764 0.148 0.852
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 1 0.9393 0.58165 0.644 0.356
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0000 0.81568 1.000 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 1 1.0000 0.12331 0.500 0.500
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.0000 0.81568 1.000 0.000
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.0376 0.81697 0.996 0.004
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 2 0.0000 0.80763 0.000 1.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.0376 0.81460 0.996 0.004
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.3752 0.75282 0.856 0.144 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.78407 0.000 0.000 1.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.3573 0.76575 0.876 0.120 0.004
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.4137 0.77294 0.872 0.096 0.032
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.3695 0.76867 0.880 0.108 0.012
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.3941 0.75323 0.844 0.156 0.000
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 1 0.3502 0.76349 0.896 0.020 0.084
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 1 0.3670 0.76400 0.888 0.020 0.092
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.3752 0.75282 0.856 0.144 0.000
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 1 0.3802 0.76390 0.888 0.032 0.080
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.4665 0.77025 0.852 0.100 0.048
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 3 0.1860 0.76386 0.052 0.000 0.948
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.3941 0.75323 0.844 0.156 0.000
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#> 94523D56-65BB-4860-9B7F-5859F5C82C05 3 0.0000 0.78407 0.000 0.000 1.000
#> CED33410-C7DE-43CC-941A-7652B200E5BB 1 0.4679 0.73950 0.832 0.020 0.148
#> 7E122E61-7895-4322-97BE-ABC29D7B7EA9 3 0.0000 0.78407 0.000 0.000 1.000
#> 60506411-6B29-49B4-9183-F54EE8B02CC4 1 0.3845 0.76861 0.872 0.116 0.012
#> ED52DF66-827A-4A8C-8E50-03C85FA04508 2 0.2165 0.82664 0.064 0.936 0.000
#> AB3B48ED-CFF9-4D66-BF3A-E9267D57BA14 1 0.4540 0.74815 0.848 0.028 0.124
#> 248A7931-1EB5-47E3-A966-E6AF62E21FC1 3 0.0000 0.78407 0.000 0.000 1.000
#> CB846F43-7719-4B7E-946B-32E6384F3CC4 1 0.6407 0.69697 0.760 0.160 0.080
#> 940E691A-04A2-410F-B1FB-A66A3BFE10E7 3 0.0000 0.78407 0.000 0.000 1.000
#> C3842EA2-E3BC-48DE-9B59-92145AC2F716 3 0.0000 0.78407 0.000 0.000 1.000
#> 497FB1B2-A998-44F3-8D69-6974314F941D 1 0.3587 0.76234 0.892 0.020 0.088
#> 4BAA88D6-4A88-4D54-9B0E-83365CC85C39 1 0.7397 0.61923 0.704 0.148 0.148
#> 7480A3B3-3BF8-4123-8E2E-8C2B52688EC6 1 0.6869 0.23029 0.560 0.016 0.424
#> AE3211D1-65C0-46B1-A67F-741C21A7D1C4 1 0.5681 0.65801 0.748 0.016 0.236
#> D7244456-CB99-4893-85FE-65082CC4F17C 1 0.4683 0.73820 0.836 0.024 0.140
#> C4E0F193-49DC-4A49-84BB-337AAF277145 1 0.3607 0.76801 0.880 0.112 0.008
#> E2DF7E97-6BE1-412C-B71D-151B87739653 1 0.3832 0.76120 0.880 0.020 0.100
#> 022BCEE2-4794-4D5D-87E5-22CD25FDBA98 1 0.6848 0.25745 0.568 0.016 0.416
#> 2AF33CEA-C327-4A31-84D8-C4F26E8A3ECF 1 0.3856 0.76532 0.888 0.040 0.072
#> E877B9C0-11C5-4CC8-BAE1-AC210535F3DB 1 0.4379 0.76743 0.868 0.060 0.072
#> 0E737E9F-1045-4B86-A290-ED927D5DE7BF 1 0.5726 0.67816 0.760 0.024 0.216
#> D1B88E26-3B64-4E1A-8E50-22AD100BD9F9 1 0.4092 0.75892 0.876 0.036 0.088
#> 3AEB8943-FE34-4014-B851-BBF83857A794 1 0.3910 0.76006 0.876 0.020 0.104
#> BECD727E-E3C1-4C42-9047-D97B7444B20B 1 0.4007 0.76001 0.880 0.036 0.084
#> AF866E63-9EA1-4669-B9C4-FC7E877334AE 3 0.4261 0.67705 0.140 0.012 0.848
#> F9C8E54A-4CE4-4839-B0CA-58678461EEF1 1 0.6180 0.61390 0.716 0.024 0.260
#> AE818BC4-05BF-4E85-A4AD-F3E43DD7D37A 1 0.6105 0.62278 0.724 0.024 0.252
#> BA73A860-CADE-408D-8D27-14EADA2B53B0 1 0.4379 0.76743 0.868 0.060 0.072
#> 688858C8-48CA-43E9-AE2C-B9D4F80B5EE9 1 0.6570 0.52734 0.668 0.024 0.308
#> EB1D52B2-17B3-491E-B484-1235633D6925 1 0.3910 0.76054 0.876 0.020 0.104
#> AE261B5D-3881-40B9-8EE7-26B950E0BE16 1 0.4172 0.75205 0.840 0.156 0.004
#> 8C9851D5-3091-4DE0-A59E-9122C0CA1CD2 1 0.6105 0.62236 0.724 0.024 0.252
#> C8180F95-4E9C-45DB-B959-B47F64167C2D 1 0.5722 0.71753 0.804 0.112 0.084
#> 552D3B42-8D22-4B64-B3A2-B3E5D51A8524 3 0.5122 0.61337 0.200 0.012 0.788
#> FED9F364-BC3F-4134-BF4B-4D24B0EB8315 1 0.3607 0.76801 0.880 0.112 0.008
#> 7B0D7792-C803-4DD0-B9BF-CB83DA2D199A 1 0.3816 0.75313 0.852 0.148 0.000
#> B4F82CBB-A47C-44C3-81AC-CF775FF06FCD 1 0.3816 0.75171 0.852 0.148 0.000
#> BFAB10CF-5B24-40F7-92E7-C2E60DD779EF 1 0.3983 0.75718 0.852 0.144 0.004
#> E4E259E1-48B2-4C76-B113-E46270742F53 1 0.5618 0.63646 0.732 0.008 0.260
#> 81FCBC31-367A-4B1C-A832-B133E4A43738 1 0.4068 0.75604 0.864 0.016 0.120
#> 8690FA0F-9C1C-4D97-813A-3FB56827FBFC 3 0.6825 0.03151 0.488 0.012 0.500
#> 9810CF0C-99D1-445B-B1F9-C956D2438495 3 0.0000 0.78407 0.000 0.000 1.000
#> 2F5073E1-9EDD-46B5-95E3-8314E2A5B620 1 0.4805 0.74720 0.812 0.176 0.012
#> B454F9FB-439A-43B5-877D-752D0F138AB5 1 0.6859 0.25621 0.564 0.016 0.420
#> 287F2B71-92F8-4D14-8249-C1BFBB254BE7 1 0.4974 0.69448 0.764 0.236 0.000
#> 52DC920F-0AD5-47CE-BD81-31843876B71E 1 0.4062 0.74942 0.836 0.164 0.000
#> 6BAC4B1B-C3FC-4A09-9821-232E510E6A47 1 0.4755 0.74264 0.808 0.184 0.008
#> A2B87EED-0D8E-4B20-85D3-FD9CC5E2E806 1 0.4291 0.73933 0.820 0.180 0.000
#> 43E6DB93-2DA6-4F0F-BF81-0C3869134D2B 1 0.4121 0.74222 0.832 0.168 0.000
#> 09A2ED74-A7C7-4DBB-8EDD-C80D0F0AEFDF 1 0.3941 0.75323 0.844 0.156 0.000
#> 35EDCB52-D4B5-4305-8A74-95EFE6F2BFB1 1 0.4110 0.74987 0.844 0.152 0.004
#> D5D18AF8-9CC2-496C-A83A-31BBA0195CFD 1 0.3764 0.77376 0.892 0.068 0.040
#> 03767EDF-2F8A-41DE-8D80-F4BE861225A3 1 0.8408 0.46798 0.612 0.144 0.244
#> 586BC656-AD9C-44EF-9ED4-87DEEB5C8AA6 1 0.4110 0.74987 0.844 0.152 0.004
#> 23CA1146-CB1B-4054-A4FF-200B87444BF9 1 0.4062 0.74916 0.836 0.164 0.000
#> 910E9B6D-E7D5-4C83-A19C-1EEA6E135639 1 0.4379 0.76743 0.868 0.060 0.072
#> F36353A3-6CE6-4347-A78B-0AAD8FAB14AD 1 0.3879 0.75332 0.848 0.152 0.000
#> 2045736E-7D0F-4B17-B74B-3B12AEE3E68C 1 0.3752 0.75282 0.856 0.144 0.000
#> 5EFA2C2D-30B3-4D66-9601-354711F9FC56 3 0.0000 0.78407 0.000 0.000 1.000
#> 3FBD381D-84C8-4680-980B-CC4B7924BE06 1 0.6570 0.53530 0.668 0.024 0.308
#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 1 0.3637 0.76250 0.892 0.024 0.084
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 1 0.3879 0.75536 0.848 0.152 0.000
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 1 0.4810 0.73613 0.832 0.028 0.140
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 1 0.6460 0.68113 0.764 0.124 0.112
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 1 0.5403 0.74179 0.816 0.124 0.060
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 1 0.5618 0.63646 0.732 0.008 0.260
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 1 0.4007 0.76001 0.880 0.036 0.084
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 1 0.4782 0.75323 0.820 0.164 0.016
#> A3343F40-F977-4F9B-856A-28781F10F4CD 1 0.4934 0.72961 0.820 0.024 0.156
#> DA144299-5541-47D7-A59E-C92896DF08FC 1 0.3921 0.76949 0.872 0.112 0.016
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 1 0.6773 0.45600 0.636 0.024 0.340
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.3879 0.74865 0.848 0.152 0.000
#> 617447CF-9327-4062-B22C-71A8944C948F 1 0.4446 0.75051 0.856 0.032 0.112
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.3941 0.75323 0.844 0.156 0.000
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 1 0.5894 0.66482 0.752 0.028 0.220
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.4002 0.75401 0.840 0.160 0.000
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 1 0.6541 0.53394 0.672 0.024 0.304
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.3941 0.75323 0.844 0.156 0.000
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 3 0.0000 0.78407 0.000 0.000 1.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 1 0.4007 0.76001 0.880 0.036 0.084
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 3 0.0000 0.78407 0.000 0.000 1.000
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.3500 0.76520 0.880 0.116 0.004
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 1 0.4840 0.75814 0.816 0.168 0.016
#> 69365512-8052-4BEA-B60D-9E065DD436BB 1 0.6451 0.55731 0.684 0.024 0.292
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 1 0.3816 0.75443 0.852 0.148 0.000
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.3879 0.74865 0.848 0.152 0.000
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 3 0.1643 0.76746 0.044 0.000 0.956
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 3 0.2796 0.73956 0.092 0.000 0.908
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 1 0.6529 0.68855 0.756 0.152 0.092
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 1 0.7397 0.61923 0.704 0.148 0.148
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.3941 0.75480 0.844 0.156 0.000
#> DA1301D3-1F84-46C5-AB44-079493A81A51 1 0.4228 0.76104 0.844 0.148 0.008
#> A12B1681-B598-40C3-80FE-1801F3F1189D 1 0.4749 0.74953 0.816 0.172 0.012
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 1 0.3832 0.76120 0.880 0.020 0.100
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 1 0.5998 0.70260 0.788 0.128 0.084
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 1 0.6924 0.29987 0.580 0.020 0.400
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 1 0.3670 0.76325 0.888 0.020 0.092
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 1 0.4934 0.73926 0.820 0.156 0.024
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 3 0.6252 0.47247 0.344 0.008 0.648
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 1 0.6912 0.19205 0.540 0.016 0.444
#> 1D0379B1-0E99-4E6D-B890-907C92860654 1 0.3765 0.76627 0.888 0.028 0.084
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 1 0.5008 0.72704 0.804 0.016 0.180
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 1 0.4591 0.74820 0.848 0.032 0.120
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 1 0.4007 0.76001 0.880 0.036 0.084
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.3752 0.75282 0.856 0.144 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 1 0.6420 0.56876 0.688 0.024 0.288
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.3879 0.75536 0.848 0.152 0.000
#> ECC40A03-488E-4076-8A3A-234D968623AD 3 0.6104 0.47015 0.348 0.004 0.648
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.3879 0.75536 0.848 0.152 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 1 0.6217 0.60654 0.712 0.024 0.264
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 1 0.6004 0.71708 0.780 0.156 0.064
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 1 0.7021 0.26943 0.544 0.020 0.436
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.3752 0.75282 0.856 0.144 0.000
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 1 0.3670 0.76325 0.888 0.020 0.092
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.3879 0.75332 0.848 0.152 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.3941 0.75323 0.844 0.156 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 1 0.5945 0.64435 0.740 0.024 0.236
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.5008 0.75445 0.804 0.180 0.016
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 1 0.6451 0.56172 0.684 0.024 0.292
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.78407 0.000 0.000 1.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 3 0.0237 0.78296 0.004 0.000 0.996
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.1163 0.77411 0.028 0.000 0.972
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 1 0.4379 0.76743 0.868 0.060 0.072
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 1 0.7129 0.32197 0.580 0.028 0.392
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 1 0.4007 0.76001 0.880 0.036 0.084
#> 479A968D-4692-404B-A866-B74E7DD17995 1 0.6143 0.62014 0.720 0.024 0.256
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 1 0.3670 0.76189 0.888 0.020 0.092
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.3879 0.75342 0.848 0.152 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.3879 0.74865 0.848 0.152 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.3816 0.75174 0.852 0.148 0.000
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.3752 0.75282 0.856 0.144 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 3 0.4110 0.67787 0.152 0.004 0.844
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 1 0.5723 0.65316 0.744 0.016 0.240
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.3752 0.75282 0.856 0.144 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 1 0.6849 0.36459 0.600 0.020 0.380
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.3752 0.75282 0.856 0.144 0.000
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.4002 0.75649 0.840 0.160 0.000
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.78407 0.000 0.000 1.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.4172 0.75279 0.840 0.156 0.004
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.89735 1.000 0.000 0.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0188 0.82109 0.000 0.004 0.996 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.3161 0.81390 0.864 0.124 0.000 0.012
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.4933 0.44449 0.688 0.296 0.000 0.016
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.3547 0.78768 0.840 0.144 0.000 0.016
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.1297 0.89828 0.964 0.020 0.000 0.016
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 2 0.4454 0.72919 0.308 0.692 0.000 0.000
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 2 0.4946 0.72771 0.308 0.680 0.008 0.004
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.0895 0.89967 0.976 0.020 0.000 0.004
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 2 0.5592 0.57103 0.404 0.572 0.000 0.024
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.6201 0.08353 0.564 0.376 0.000 0.060
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 3 0.1716 0.80049 0.000 0.064 0.936 0.000
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0592 0.89719 0.984 0.000 0.000 0.016
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 2 0.5730 0.50596 0.040 0.616 0.344 0.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 2 0.4830 0.62309 0.392 0.608 0.000 0.000
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.4955 0.74124 0.084 0.772 0.144 0.000
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0592 0.89719 0.984 0.000 0.000 0.016
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.89735 1.000 0.000 0.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 1 0.6752 0.12822 0.508 0.056 0.420 0.016
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.1059 0.89910 0.972 0.012 0.000 0.016
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 2 0.5112 0.62401 0.384 0.608 0.000 0.008
#> 83453F80-8A68-4A3C-995D-85CFB1011249 3 0.2011 0.78935 0.000 0.080 0.920 0.000
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 2 0.2469 0.75610 0.108 0.892 0.000 0.000
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0779 0.89748 0.980 0.004 0.000 0.016
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 2 0.4718 0.75338 0.280 0.708 0.012 0.000
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 1 0.3370 0.84889 0.872 0.080 0.000 0.048
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.6074 0.63262 0.084 0.648 0.268 0.000
#> 375FE390-434B-41D3-9029-84065B1D7B6F 2 0.5102 0.79372 0.220 0.732 0.048 0.000
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#> AB1C8455-7C2F-4154-95EF-B23EB5FD405A 2 0.4528 0.57936 0.008 0.816 0.068 0.108
#> 052F9CFB-8816-4A1D-B3C2-6A50168F7299 1 0.0469 0.89811 0.988 0.000 0.000 0.012
#> A821C6AB-91E5-4A72-8F3F-5D628FA351F0 3 0.0000 0.81913 0.000 0.000 1.000 0.000
#> 1D7F357E-0075-4AFA-BFCB-0297B90800F1 3 0.2530 0.76779 0.000 0.112 0.888 0.000
#> 5984264D-BD86-4D2F-8718-7DCAE974F50B 2 0.5465 0.60101 0.392 0.588 0.000 0.020
#> F24CC083-662D-457C-9BEC-3B68D63236AE 2 0.4606 0.76677 0.264 0.724 0.012 0.000
#> 48350BD7-9F6E-4DB5-B34A-F47B0BA74EF6 2 0.6514 0.72674 0.152 0.636 0.212 0.000
#> 94523D56-65BB-4860-9B7F-5859F5C82C05 3 0.0188 0.82109 0.000 0.004 0.996 0.000
#> CED33410-C7DE-43CC-941A-7652B200E5BB 2 0.5464 0.79165 0.228 0.708 0.064 0.000
#> 7E122E61-7895-4322-97BE-ABC29D7B7EA9 3 0.0188 0.82109 0.000 0.004 0.996 0.000
#> 60506411-6B29-49B4-9183-F54EE8B02CC4 1 0.3695 0.76790 0.828 0.156 0.000 0.016
#> ED52DF66-827A-4A8C-8E50-03C85FA04508 4 0.0592 0.95761 0.016 0.000 0.000 0.984
#> AB3B48ED-CFF9-4D66-BF3A-E9267D57BA14 2 0.4677 0.79370 0.176 0.776 0.048 0.000
#> 248A7931-1EB5-47E3-A966-E6AF62E21FC1 3 0.0188 0.82109 0.000 0.004 0.996 0.000
#> CB846F43-7719-4B7E-946B-32E6384F3CC4 1 0.4552 0.80976 0.828 0.076 0.072 0.024
#> 940E691A-04A2-410F-B1FB-A66A3BFE10E7 3 0.0188 0.82109 0.000 0.004 0.996 0.000
#> C3842EA2-E3BC-48DE-9B59-92145AC2F716 3 0.0000 0.81913 0.000 0.000 1.000 0.000
#> 497FB1B2-A998-44F3-8D69-6974314F941D 2 0.4343 0.76815 0.264 0.732 0.004 0.000
#> 4BAA88D6-4A88-4D54-9B0E-83365CC85C39 1 0.5700 0.71061 0.748 0.092 0.140 0.020
#> 7480A3B3-3BF8-4123-8E2E-8C2B52688EC6 2 0.5713 0.51350 0.040 0.620 0.340 0.000
#> AE3211D1-65C0-46B1-A67F-741C21A7D1C4 2 0.5515 0.75705 0.116 0.732 0.152 0.000
#> D7244456-CB99-4893-85FE-65082CC4F17C 2 0.4609 0.78798 0.156 0.788 0.056 0.000
#> C4E0F193-49DC-4A49-84BB-337AAF277145 1 0.3743 0.75828 0.824 0.160 0.000 0.016
#> E2DF7E97-6BE1-412C-B71D-151B87739653 2 0.4744 0.75100 0.284 0.704 0.012 0.000
#> 022BCEE2-4794-4D5D-87E5-22CD25FDBA98 2 0.5755 0.52933 0.044 0.624 0.332 0.000
#> 2AF33CEA-C327-4A31-84D8-C4F26E8A3ECF 2 0.5957 0.51869 0.420 0.540 0.000 0.040
#> E877B9C0-11C5-4CC8-BAE1-AC210535F3DB 2 0.6214 0.37532 0.468 0.480 0.000 0.052
#> 0E737E9F-1045-4B86-A290-ED927D5DE7BF 2 0.5628 0.77471 0.144 0.724 0.132 0.000
#> D1B88E26-3B64-4E1A-8E50-22AD100BD9F9 2 0.3052 0.77017 0.136 0.860 0.004 0.000
#> 3AEB8943-FE34-4014-B851-BBF83857A794 2 0.5290 0.75158 0.292 0.680 0.024 0.004
#> BECD727E-E3C1-4C42-9047-D97B7444B20B 2 0.2814 0.76589 0.132 0.868 0.000 0.000
#> AF866E63-9EA1-4669-B9C4-FC7E877334AE 3 0.3495 0.73442 0.016 0.140 0.844 0.000
#> F9C8E54A-4CE4-4839-B0CA-58678461EEF1 2 0.5355 0.71973 0.084 0.736 0.180 0.000
#> AE818BC4-05BF-4E85-A4AD-F3E43DD7D37A 2 0.5229 0.72728 0.084 0.748 0.168 0.000
#> BA73A860-CADE-408D-8D27-14EADA2B53B0 2 0.6214 0.37532 0.468 0.480 0.000 0.052
#> 688858C8-48CA-43E9-AE2C-B9D4F80B5EE9 2 0.5500 0.67156 0.068 0.708 0.224 0.000
#> EB1D52B2-17B3-491E-B484-1235633D6925 2 0.4804 0.75699 0.276 0.708 0.016 0.000
#> AE261B5D-3881-40B9-8EE7-26B950E0BE16 1 0.1297 0.89691 0.964 0.020 0.000 0.016
#> 8C9851D5-3091-4DE0-A59E-9122C0CA1CD2 2 0.5208 0.72305 0.080 0.748 0.172 0.000
#> C8180F95-4E9C-45DB-B959-B47F64167C2D 2 0.3587 0.72002 0.104 0.856 0.000 0.040
#> 552D3B42-8D22-4B64-B3A2-B3E5D51A8524 3 0.4348 0.67891 0.024 0.196 0.780 0.000
#> FED9F364-BC3F-4134-BF4B-4D24B0EB8315 1 0.3743 0.76056 0.824 0.160 0.000 0.016
#> 7B0D7792-C803-4DD0-B9BF-CB83DA2D199A 1 0.0336 0.89786 0.992 0.000 0.000 0.008
#> B4F82CBB-A47C-44C3-81AC-CF775FF06FCD 1 0.0779 0.89935 0.980 0.004 0.000 0.016
#> BFAB10CF-5B24-40F7-92E7-C2E60DD779EF 1 0.2234 0.87831 0.924 0.064 0.004 0.008
#> E4E259E1-48B2-4C76-B113-E46270742F53 2 0.6155 0.75566 0.148 0.676 0.176 0.000
#> 81FCBC31-367A-4B1C-A832-B133E4A43738 2 0.5496 0.72857 0.312 0.652 0.036 0.000
#> 8690FA0F-9C1C-4D97-813A-3FB56827FBFC 2 0.6970 0.21143 0.112 0.444 0.444 0.000
#> 9810CF0C-99D1-445B-B1F9-C956D2438495 3 0.0000 0.81913 0.000 0.000 1.000 0.000
#> 2F5073E1-9EDD-46B5-95E3-8314E2A5B620 1 0.4727 0.78377 0.792 0.108 0.000 0.100
#> B454F9FB-439A-43B5-877D-752D0F138AB5 2 0.5823 0.50194 0.044 0.608 0.348 0.000
#> 287F2B71-92F8-4D14-8249-C1BFBB254BE7 1 0.4307 0.79534 0.808 0.048 0.000 0.144
#> 52DC920F-0AD5-47CE-BD81-31843876B71E 1 0.0817 0.89822 0.976 0.000 0.000 0.024
#> 6BAC4B1B-C3FC-4A09-9821-232E510E6A47 1 0.4786 0.77630 0.788 0.104 0.000 0.108
#> A2B87EED-0D8E-4B20-85D3-FD9CC5E2E806 1 0.2124 0.87774 0.924 0.008 0.000 0.068
#> 43E6DB93-2DA6-4F0F-BF81-0C3869134D2B 1 0.1118 0.89150 0.964 0.000 0.000 0.036
#> 09A2ED74-A7C7-4DBB-8EDD-C80D0F0AEFDF 1 0.0592 0.89719 0.984 0.000 0.000 0.016
#> 35EDCB52-D4B5-4305-8A74-95EFE6F2BFB1 1 0.1362 0.89854 0.964 0.020 0.004 0.012
#> D5D18AF8-9CC2-496C-A83A-31BBA0195CFD 1 0.5497 -0.24927 0.524 0.460 0.000 0.016
#> 03767EDF-2F8A-41DE-8D80-F4BE861225A3 1 0.6781 0.51943 0.640 0.104 0.236 0.020
#> 586BC656-AD9C-44EF-9ED4-87DEEB5C8AA6 1 0.1362 0.89854 0.964 0.020 0.004 0.012
#> 23CA1146-CB1B-4054-A4FF-200B87444BF9 1 0.0921 0.89783 0.972 0.000 0.000 0.028
#> 910E9B6D-E7D5-4C83-A19C-1EEA6E135639 2 0.6214 0.37532 0.468 0.480 0.000 0.052
#> F36353A3-6CE6-4347-A78B-0AAD8FAB14AD 1 0.0469 0.89772 0.988 0.000 0.000 0.012
#> 2045736E-7D0F-4B17-B74B-3B12AEE3E68C 1 0.0188 0.89773 0.996 0.000 0.000 0.004
#> 5EFA2C2D-30B3-4D66-9601-354711F9FC56 3 0.0188 0.82109 0.000 0.004 0.996 0.000
#> 3FBD381D-84C8-4680-980B-CC4B7924BE06 2 0.5664 0.67444 0.076 0.696 0.228 0.000
#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 2 0.4713 0.66382 0.360 0.640 0.000 0.000
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 1 0.0707 0.89797 0.980 0.000 0.000 0.020
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 2 0.4609 0.78744 0.156 0.788 0.056 0.000
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 2 0.3824 0.68744 0.056 0.868 0.028 0.048
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 1 0.3915 0.82645 0.852 0.088 0.052 0.008
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 2 0.6155 0.75566 0.148 0.676 0.176 0.000
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 2 0.3074 0.77522 0.152 0.848 0.000 0.000
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 1 0.4171 0.82517 0.828 0.084 0.000 0.088
#> A3343F40-F977-4F9B-856A-28781F10F4CD 2 0.5165 0.79098 0.168 0.752 0.080 0.000
#> DA144299-5541-47D7-A59E-C92896DF08FC 1 0.3836 0.74605 0.816 0.168 0.000 0.016
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 2 0.5810 0.64586 0.072 0.672 0.256 0.000
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.0469 0.89759 0.988 0.000 0.000 0.012
#> 617447CF-9327-4062-B22C-71A8944C948F 2 0.4194 0.79226 0.172 0.800 0.028 0.000
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0592 0.89719 0.984 0.000 0.000 0.016
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 2 0.4955 0.74124 0.084 0.772 0.144 0.000
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.1174 0.90010 0.968 0.012 0.000 0.020
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.5783 0.68626 0.088 0.692 0.220 0.000
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.0592 0.89719 0.984 0.000 0.000 0.016
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 3 0.0188 0.82109 0.000 0.004 0.996 0.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 2 0.2469 0.75610 0.108 0.892 0.000 0.000
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 3 0.0000 0.81913 0.000 0.000 1.000 0.000
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.2255 0.86668 0.920 0.068 0.000 0.012
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 1 0.5145 0.75958 0.772 0.144 0.008 0.076
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.5681 0.69625 0.088 0.704 0.208 0.000
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 1 0.1297 0.89901 0.964 0.016 0.000 0.020
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.0469 0.89759 0.988 0.000 0.000 0.012
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 3 0.1474 0.80505 0.000 0.052 0.948 0.000
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 3 0.2345 0.77470 0.000 0.100 0.900 0.000
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 1 0.4014 0.81126 0.852 0.048 0.084 0.016
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 1 0.5700 0.71061 0.748 0.092 0.140 0.020
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.1004 0.89809 0.972 0.004 0.000 0.024
#> DA1301D3-1F84-46C5-AB44-079493A81A51 1 0.2699 0.86835 0.904 0.068 0.000 0.028
#> A12B1681-B598-40C3-80FE-1801F3F1189D 1 0.4362 0.81470 0.816 0.088 0.000 0.096
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 2 0.4663 0.76107 0.272 0.716 0.012 0.000
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 2 0.3652 0.70639 0.092 0.856 0.000 0.052
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.5698 0.54999 0.044 0.636 0.320 0.000
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.4896 0.75723 0.280 0.704 0.012 0.004
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 1 0.2215 0.88596 0.936 0.024 0.024 0.016
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 3 0.5105 0.15011 0.004 0.432 0.564 0.000
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.5835 0.44898 0.040 0.588 0.372 0.000
#> 1D0379B1-0E99-4E6D-B890-907C92860654 2 0.5202 0.71429 0.312 0.668 0.004 0.016
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.6192 0.77536 0.244 0.652 0.104 0.000
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 2 0.4423 0.79326 0.176 0.788 0.036 0.000
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 2 0.2530 0.75796 0.112 0.888 0.000 0.000
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0188 0.89890 0.996 0.004 0.000 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.5620 0.69308 0.084 0.708 0.208 0.000
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.1042 0.90021 0.972 0.008 0.000 0.020
#> ECC40A03-488E-4076-8A3A-234D968623AD 3 0.5105 0.14568 0.004 0.432 0.564 0.000
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0707 0.89797 0.980 0.000 0.000 0.020
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.5477 0.71979 0.092 0.728 0.180 0.000
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 1 0.4626 0.79243 0.816 0.108 0.060 0.016
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.6376 0.34433 0.068 0.536 0.396 0.000
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.0469 0.90043 0.988 0.012 0.000 0.000
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.4896 0.75723 0.280 0.704 0.012 0.004
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0779 0.90033 0.980 0.004 0.000 0.016
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0592 0.89719 0.984 0.000 0.000 0.016
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.5351 0.74530 0.104 0.744 0.152 0.000
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.4915 0.76116 0.788 0.144 0.012 0.056
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.5429 0.69165 0.072 0.720 0.208 0.000
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0188 0.82109 0.000 0.004 0.996 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 3 0.0336 0.81804 0.000 0.008 0.992 0.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.1022 0.81206 0.000 0.032 0.968 0.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 2 0.6214 0.37532 0.468 0.480 0.000 0.052
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.6822 0.56971 0.100 0.584 0.308 0.008
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.2469 0.75610 0.108 0.892 0.000 0.000
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.5314 0.72281 0.084 0.740 0.176 0.000
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.4228 0.78571 0.232 0.760 0.008 0.000
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0336 0.89813 0.992 0.000 0.000 0.008
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0469 0.89759 0.988 0.000 0.000 0.012
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.1174 0.89940 0.968 0.020 0.000 0.012
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0000 0.89735 1.000 0.000 0.000 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 3 0.3450 0.72286 0.008 0.156 0.836 0.000
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.5859 0.76318 0.140 0.704 0.156 0.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0376 0.89950 0.992 0.004 0.000 0.004
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.5792 0.59613 0.056 0.648 0.296 0.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.0469 0.90043 0.988 0.012 0.000 0.000
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.0921 0.89862 0.972 0.000 0.000 0.028
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0188 0.82109 0.000 0.004 0.996 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.1059 0.90028 0.972 0.016 0.000 0.012
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0290 0.8747 0.992 0.000 0.000 0.008 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0162 0.8042 0.000 0.004 0.996 0.000 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.4234 0.7664 0.780 0.148 0.000 0.068 0.004
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.5517 0.4131 0.608 0.316 0.000 0.068 0.008
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.4271 0.7758 0.784 0.140 0.000 0.068 0.008
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.3155 0.8389 0.852 0.020 0.000 0.120 0.008
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 2 0.4226 0.4970 0.176 0.764 0.000 0.060 0.000
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 2 0.4313 0.4899 0.172 0.760 0.000 0.068 0.000
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.1750 0.8740 0.936 0.036 0.000 0.028 0.000
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 2 0.5921 0.2743 0.344 0.560 0.000 0.084 0.012
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.6544 0.1876 0.512 0.360 0.000 0.088 0.040
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#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 1 0.5510 0.7206 0.716 0.144 0.024 0.108 0.008
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.5322 0.1399 0.004 0.612 0.324 0.060 0.000
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.1216 0.8799 0.960 0.020 0.000 0.020 0.000
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.3995 0.5100 0.152 0.788 0.000 0.060 0.000
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.1153 0.8774 0.964 0.004 0.000 0.024 0.008
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0798 0.8745 0.976 0.000 0.000 0.016 0.008
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.3530 0.5002 0.024 0.844 0.104 0.028 0.000
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.5029 0.7478 0.744 0.156 0.000 0.052 0.048
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.3525 0.4536 0.004 0.816 0.156 0.024 0.000
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0162 0.8042 0.000 0.004 0.996 0.000 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 3 0.2069 0.7788 0.000 0.012 0.912 0.076 0.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.2491 0.7770 0.000 0.036 0.896 0.068 0.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 2 0.6672 0.1616 0.408 0.456 0.000 0.100 0.036
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.5807 0.3486 0.052 0.648 0.256 0.040 0.004
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.4325 0.1565 0.036 0.724 0.000 0.240 0.000
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.3243 0.4775 0.004 0.848 0.116 0.032 0.000
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.3670 0.5245 0.112 0.820 0.000 0.068 0.000
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0609 0.8757 0.980 0.000 0.000 0.020 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0798 0.8734 0.976 0.000 0.000 0.016 0.008
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.1690 0.8781 0.944 0.024 0.000 0.024 0.008
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0451 0.8760 0.988 0.004 0.000 0.008 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 3 0.4868 0.6683 0.004 0.192 0.720 0.084 0.000
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.3921 0.5287 0.048 0.812 0.128 0.012 0.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0798 0.8773 0.976 0.008 0.000 0.016 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.4295 0.3858 0.004 0.732 0.236 0.028 0.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.1018 0.8797 0.968 0.016 0.000 0.016 0.000
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.1211 0.8781 0.960 0.000 0.000 0.024 0.016
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0162 0.8042 0.000 0.004 0.996 0.000 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.1808 0.8777 0.936 0.020 0.000 0.040 0.004
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0777 0.85734 0.972 0.000 0.000 0.004 0.024 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0146 0.80409 0.000 0.004 0.996 0.000 0.000 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.4379 0.70071 0.732 0.140 0.000 0.004 0.124 0.000
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.5523 0.32741 0.548 0.308 0.000 0.004 0.140 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.4412 0.71389 0.736 0.128 0.000 0.008 0.128 0.000
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.3441 0.80056 0.820 0.016 0.000 0.040 0.124 0.000
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 2 0.4758 0.55610 0.092 0.732 0.000 0.044 0.132 0.000
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 2 0.4489 0.56335 0.092 0.744 0.000 0.024 0.140 0.000
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.2147 0.85155 0.896 0.020 0.000 0.000 0.084 0.000
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 2 0.6187 0.33297 0.296 0.536 0.000 0.044 0.120 0.004
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.6704 0.17082 0.472 0.316 0.000 0.028 0.160 0.024
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 3 0.4939 0.39573 0.000 0.060 0.556 0.004 0.380 0.000
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.1049 0.85647 0.960 0.000 0.000 0.008 0.032 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 2 0.5015 0.49982 0.000 0.640 0.152 0.000 0.208 0.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 2 0.5218 0.45626 0.224 0.648 0.000 0.020 0.108 0.000
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.4323 0.57336 0.000 0.764 0.040 0.060 0.136 0.000
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0891 0.85719 0.968 0.000 0.000 0.008 0.024 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0777 0.85734 0.972 0.000 0.000 0.004 0.024 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 5 0.6908 0.42044 0.224 0.020 0.156 0.076 0.524 0.000
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.2039 0.85758 0.916 0.020 0.000 0.012 0.052 0.000
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 2 0.5038 0.49071 0.168 0.672 0.000 0.012 0.148 0.000
#> 83453F80-8A68-4A3C-995D-85CFB1011249 3 0.4751 0.47071 0.000 0.072 0.616 0.000 0.312 0.000
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 2 0.5453 -0.26853 0.012 0.512 0.000 0.388 0.088 0.000
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.2860 0.81052 0.852 0.000 0.000 0.048 0.100 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 2 0.3677 0.58894 0.068 0.800 0.000 0.008 0.124 0.000
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 1 0.3704 0.81050 0.820 0.052 0.000 0.008 0.100 0.020
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.4762 0.55905 0.008 0.688 0.080 0.004 0.220 0.000
#> 375FE390-434B-41D3-9029-84065B1D7B6F 2 0.4284 0.61616 0.052 0.772 0.008 0.028 0.140 0.000
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.1341 0.85366 0.948 0.000 0.000 0.000 0.028 0.024
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.2685 0.61518 0.008 0.852 0.008 0.000 0.132 0.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.5792 0.39256 0.020 0.576 0.172 0.000 0.232 0.000
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 3 0.5404 0.32050 0.000 0.140 0.548 0.000 0.312 0.000
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 3 0.5930 0.04489 0.000 0.248 0.460 0.000 0.292 0.000
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.3143 0.82833 0.848 0.016 0.000 0.008 0.108 0.020
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 3 0.6092 0.05390 0.000 0.180 0.436 0.012 0.372 0.000
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 2 0.3154 0.60048 0.068 0.848 0.000 0.012 0.072 0.000
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 1 0.2282 0.85394 0.900 0.020 0.000 0.012 0.068 0.000
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0146 0.80409 0.000 0.004 0.996 0.000 0.000 0.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.1149 0.86126 0.960 0.008 0.000 0.008 0.024 0.000
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.0146 0.80409 0.000 0.004 0.996 0.000 0.000 0.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 4 0.5363 0.53434 0.012 0.412 0.000 0.500 0.076 0.000
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.0000 0.80338 0.000 0.000 1.000 0.000 0.000 0.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.0146 0.80409 0.000 0.004 0.996 0.000 0.000 0.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 1 0.2342 0.85152 0.888 0.020 0.000 0.004 0.088 0.000
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 2 0.6682 0.26181 0.320 0.480 0.000 0.068 0.124 0.008
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.2653 0.81962 0.868 0.000 0.000 0.028 0.100 0.004
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 2 0.4282 0.58320 0.036 0.792 0.016 0.068 0.088 0.000
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 1 0.3292 0.82835 0.836 0.036 0.000 0.012 0.112 0.004
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.1410 0.86041 0.944 0.000 0.000 0.008 0.044 0.004
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 2 0.4784 0.52145 0.140 0.708 0.000 0.016 0.136 0.000
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.3167 0.62305 0.016 0.840 0.020 0.004 0.120 0.000
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 4 0.2696 0.68672 0.000 0.116 0.000 0.856 0.028 0.000
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.0000 0.80338 0.000 0.000 1.000 0.000 0.000 0.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.4654 0.73243 0.756 0.024 0.000 0.020 0.076 0.124
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 2 0.4055 0.61210 0.008 0.764 0.076 0.000 0.152 0.000
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 2 0.5390 -0.24547 0.020 0.528 0.000 0.384 0.068 0.000
#> 208165C0-229B-49E2-A22A-575CA3157C9E 2 0.4017 0.58410 0.080 0.788 0.000 0.024 0.108 0.000
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 6 0.3005 0.74930 0.092 0.000 0.000 0.016 0.036 0.856
#> 01397021-8495-4D89-885A-166B4DBA0122 3 0.0146 0.80409 0.000 0.004 0.996 0.000 0.000 0.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 3 0.0000 0.80338 0.000 0.000 1.000 0.000 0.000 0.000
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.1049 0.85623 0.960 0.000 0.000 0.008 0.032 0.000
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 2 0.3152 0.60896 0.032 0.852 0.000 0.032 0.084 0.000
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 5 0.6424 0.35853 0.008 0.296 0.260 0.008 0.428 0.000
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 3 0.4703 0.47255 0.000 0.068 0.620 0.000 0.312 0.000
#> AA569A06-0F37-4492-93F3-60A4539A3E82 2 0.2957 0.60514 0.064 0.864 0.000 0.016 0.056 0.000
#> BC53FB75-94CA-48C3-875B-5987037D186F 2 0.6117 0.09459 0.000 0.436 0.296 0.004 0.264 0.000
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 1 0.2394 0.85164 0.900 0.004 0.000 0.008 0.052 0.036
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 3 0.5842 0.10496 0.000 0.228 0.484 0.000 0.288 0.000
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 2 0.2982 0.60455 0.068 0.860 0.000 0.012 0.060 0.000
#> DF67F589-A607-4B95-96B8-4BB344132312 2 0.6070 0.06868 0.000 0.428 0.344 0.004 0.224 0.000
#> A65233E6-C146-4ACF-8DDE-5FB12D8D9637 3 0.0000 0.80338 0.000 0.000 1.000 0.000 0.000 0.000
#> 7578C9A3-FFF8-45C4-AC28-1C6141A9A2AD 1 0.1297 0.85662 0.948 0.000 0.000 0.012 0.040 0.000
#> 4DF775B9-E2FE-4F5E-8329-C37E21C5D10E 1 0.3282 0.82496 0.836 0.028 0.000 0.004 0.116 0.016
#> 5E6B86C6-3D79-47BB-9FAF-CA22659CFEA7 1 0.4839 0.73026 0.720 0.044 0.000 0.008 0.180 0.048
#> 53286128-668B-47EA-9A5F-D768FDCCBE88 1 0.1636 0.85508 0.936 0.036 0.000 0.004 0.024 0.000
#> 01C9F351-97FE-4037-A879-9D96A3DD3FBB 3 0.3078 0.67843 0.000 0.012 0.796 0.000 0.192 0.000
#> 5487DB21-6A58-46AC-A2A1-E343082D41D8 1 0.3599 0.78051 0.796 0.008 0.008 0.024 0.164 0.000
#> 0FB3E997-4E31-4FA6-9654-11C3C0AF8D86 2 0.3655 0.61484 0.000 0.800 0.088 0.004 0.108 0.000
#> A0706E80-FDF9-4721-BEB4-90527F6D38C4 2 0.5870 0.01896 0.000 0.480 0.276 0.000 0.244 0.000
#> 5260226E-1826-4F54-8237-28993DD2EF04 3 0.0146 0.80409 0.000 0.004 0.996 0.000 0.000 0.000
#> F53F71A7-A399-49AB-8657-019C5C56F48C 2 0.3731 0.58767 0.072 0.796 0.000 0.008 0.124 0.000
#> 008159F2-5247-479A-8BFE-C394888D0B74 2 0.5390 -0.24547 0.020 0.528 0.000 0.384 0.068 0.000
#> 9E6BA6FB-35F2-4510-94AE-3E7CDFED3D47 3 0.0000 0.80338 0.000 0.000 1.000 0.000 0.000 0.000
#> F12BE7AC-D2DD-4AD1-AB37-32DC85954F59 2 0.4667 0.54903 0.096 0.720 0.000 0.020 0.164 0.000
#> 38A6BA1F-B444-4155-A168-EC2DF0EE0785 6 0.0000 0.93562 0.000 0.000 0.000 0.000 0.000 1.000
#> B107D1DE-EE52-4E89-B75A-91124BFF99AE 3 0.0146 0.80409 0.000 0.004 0.996 0.000 0.000 0.000
#> D4D16D09-8895-4BEA-ABF7-F11C5D5BDCAA 1 0.3460 0.78594 0.796 0.008 0.000 0.028 0.168 0.000
#> 9A53C473-1364-4BB6-AD36-EF53E0208450 1 0.2165 0.85866 0.912 0.024 0.000 0.008 0.052 0.004
#> F00C0ED6-C811-4F32-BDB4-4ACA7861DC7D 2 0.2256 0.60813 0.004 0.892 0.004 0.008 0.092 0.000
#> 72618985-CD49-4B6F-8CB0-5EE590FAD09A 2 0.3097 0.60270 0.064 0.852 0.000 0.012 0.072 0.000
#> 978A315F-CCE9-4D03-A680-C0AD60B10557 2 0.3517 0.59059 0.000 0.780 0.028 0.004 0.188 0.000
#> B6EACAED-3944-4510-B685-0BB8D1651D4F 1 0.4406 0.70407 0.736 0.140 0.000 0.008 0.116 0.000
#> EBCF16B4-A804-45EB-8253-0F28A2645729 1 0.2859 0.83120 0.868 0.020 0.000 0.008 0.092 0.012
#> 637DC441-4A75-4DA8-8F65-91FDB5F103C7 1 0.5881 0.60967 0.648 0.100 0.000 0.008 0.156 0.088
#> 89F67654-A246-4307-9B17-4A1C01DB1AED 2 0.2685 0.61518 0.008 0.852 0.008 0.000 0.132 0.000
#> 3A8EB57B-71ED-4169-A8EB-624C67CDBBE1 2 0.4695 0.54918 0.000 0.696 0.132 0.004 0.168 0.000
#> CC4DA9C6-CAB2-44FF-8219-D293ECD07DD4 1 0.2013 0.85704 0.908 0.008 0.000 0.008 0.076 0.000
#> AEC4FDAA-8F60-43CE-8EBB-5629FA662F16 2 0.2101 0.61844 0.004 0.908 0.008 0.008 0.072 0.000
#> BFC0D795-64F4-48B3-AD08-8C564E5E5367 1 0.0964 0.86049 0.968 0.012 0.000 0.004 0.016 0.000
#> 907BBBA4-4E7B-4808-892E-F80525C3CFA3 2 0.4538 0.56095 0.100 0.736 0.000 0.020 0.144 0.000
#> 7F21FA19-1468-4A65-A10A-A9727218A5EF 1 0.1155 0.85681 0.956 0.000 0.000 0.004 0.036 0.004
#> 905A026A-0B13-4AD3-B2BB-9A5AE76920AF 2 0.5554 -0.19023 0.032 0.536 0.000 0.364 0.068 0.000
#> 6DDFC760-7BED-4A68-8DDA-9453D0FC9C1D 1 0.0993 0.85584 0.964 0.000 0.000 0.012 0.024 0.000
#> B3AFF323-BAAD-4512-A837-20C430EA39D1 1 0.3411 0.79296 0.824 0.100 0.000 0.008 0.068 0.000
#> 193E9034-42A2-4701-AA3E-2E852CA5C043 1 0.0692 0.85534 0.976 0.000 0.000 0.000 0.020 0.004
#> 8B6127D5-D3BB-4E17-914C-3ED1E2A52078 2 0.4272 0.59226 0.028 0.792 0.020 0.068 0.092 0.000
#> BD6E5E3C-DC43-4A85-84DF-84C68ABB851A 2 0.5520 -0.36212 0.020 0.488 0.000 0.416 0.076 0.000
#> 881EACBD-B314-4A9E-A6DE-58DF9466AFB3 4 0.2696 0.68672 0.000 0.116 0.000 0.856 0.028 0.000
#> 195A6DF6-437D-4964-8872-C44F13E2CA4C 2 0.3794 0.60871 0.048 0.800 0.016 0.004 0.132 0.000
#> C40FD0B3-4773-490D-A342-B1CE8CC0A5BD 1 0.0972 0.85666 0.964 0.000 0.000 0.000 0.028 0.008
#> 613454BF-1A66-4DBB-90D0-246FC212DA4A 1 0.1926 0.85119 0.912 0.020 0.000 0.000 0.068 0.000
#> 5F121320-0F61-4BC0-BB69-F5C9A93BC118 1 0.1226 0.85620 0.952 0.000 0.000 0.004 0.040 0.004
#> E5637874-962B-4C43-8339-A6625D754DA8 2 0.4737 0.56423 0.092 0.736 0.004 0.032 0.136 0.000
#> 7614BF19-E3A2-492A-ABC0-557B274CA326 5 0.6921 0.29880 0.380 0.020 0.108 0.072 0.420 0.000
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#> B454F9FB-439A-43B5-877D-752D0F138AB5 2 0.5188 0.49184 0.000 0.632 0.160 0.004 0.204 0.000
#> 287F2B71-92F8-4D14-8249-C1BFBB254BE7 1 0.4654 0.73243 0.756 0.024 0.000 0.020 0.076 0.124
#> 52DC920F-0AD5-47CE-BD81-31843876B71E 1 0.1149 0.85708 0.960 0.000 0.000 0.008 0.024 0.008
#> 6BAC4B1B-C3FC-4A09-9821-232E510E6A47 1 0.5288 0.68246 0.700 0.060 0.000 0.012 0.160 0.068
#> A2B87EED-0D8E-4B20-85D3-FD9CC5E2E806 1 0.2201 0.84135 0.904 0.000 0.000 0.004 0.036 0.056
#> 43E6DB93-2DA6-4F0F-BF81-0C3869134D2B 1 0.1341 0.85366 0.948 0.000 0.000 0.000 0.028 0.024
#> 09A2ED74-A7C7-4DBB-8EDD-C80D0F0AEFDF 1 0.0993 0.85584 0.964 0.000 0.000 0.012 0.024 0.000
#> 35EDCB52-D4B5-4305-8A74-95EFE6F2BFB1 1 0.2897 0.82468 0.852 0.012 0.000 0.012 0.120 0.004
#> D5D18AF8-9CC2-496C-A83A-31BBA0195CFD 2 0.5819 0.22123 0.352 0.488 0.000 0.008 0.152 0.000
#> 03767EDF-2F8A-41DE-8D80-F4BE861225A3 5 0.7667 0.31178 0.308 0.132 0.072 0.072 0.416 0.000
#> 586BC656-AD9C-44EF-9ED4-87DEEB5C8AA6 1 0.2853 0.82718 0.856 0.012 0.000 0.012 0.116 0.004
#> 23CA1146-CB1B-4054-A4FF-200B87444BF9 1 0.1226 0.85620 0.952 0.000 0.000 0.004 0.040 0.004
#> 910E9B6D-E7D5-4C83-A19C-1EEA6E135639 2 0.6768 0.17935 0.364 0.428 0.000 0.048 0.148 0.012
#> F36353A3-6CE6-4347-A78B-0AAD8FAB14AD 1 0.0777 0.85679 0.972 0.000 0.000 0.004 0.024 0.000
#> 2045736E-7D0F-4B17-B74B-3B12AEE3E68C 1 0.0692 0.85703 0.976 0.000 0.000 0.004 0.020 0.000
#> 5EFA2C2D-30B3-4D66-9601-354711F9FC56 3 0.0146 0.80409 0.000 0.004 0.996 0.000 0.000 0.000
#> 3FBD381D-84C8-4680-980B-CC4B7924BE06 2 0.4226 0.57459 0.000 0.744 0.076 0.008 0.172 0.000
#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 2 0.4784 0.52145 0.140 0.708 0.000 0.016 0.136 0.000
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 1 0.1728 0.85742 0.924 0.004 0.000 0.008 0.064 0.000
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 2 0.2205 0.60811 0.004 0.896 0.004 0.008 0.088 0.000
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 4 0.4840 0.75401 0.004 0.236 0.016 0.680 0.064 0.000
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 1 0.5234 0.67340 0.688 0.076 0.020 0.024 0.192 0.000
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 2 0.4141 0.61153 0.008 0.756 0.080 0.000 0.156 0.000
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 2 0.5460 -0.00395 0.028 0.576 0.000 0.320 0.076 0.000
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 1 0.4839 0.73026 0.720 0.044 0.000 0.008 0.180 0.048
#> A3343F40-F977-4F9B-856A-28781F10F4CD 2 0.4264 0.59594 0.028 0.792 0.020 0.064 0.096 0.000
#> DA144299-5541-47D7-A59E-C92896DF08FC 1 0.4643 0.64320 0.700 0.176 0.000 0.004 0.120 0.000
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 2 0.4360 0.56965 0.000 0.724 0.088 0.004 0.184 0.000
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.0692 0.85534 0.976 0.000 0.000 0.000 0.020 0.004
#> 617447CF-9327-4062-B22C-71A8944C948F 2 0.4200 0.52188 0.028 0.772 0.000 0.128 0.072 0.000
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.1151 0.85553 0.956 0.000 0.000 0.012 0.032 0.000
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 2 0.4284 0.57420 0.000 0.768 0.040 0.060 0.132 0.000
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.1657 0.86129 0.936 0.012 0.000 0.012 0.040 0.000
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.4064 0.57540 0.000 0.740 0.056 0.004 0.200 0.000
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.0891 0.85719 0.968 0.000 0.000 0.008 0.024 0.000
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 3 0.0146 0.80409 0.000 0.004 0.996 0.000 0.000 0.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 2 0.5447 -0.25284 0.012 0.516 0.000 0.384 0.088 0.000
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 3 0.2340 0.72074 0.000 0.000 0.852 0.000 0.148 0.000
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.2999 0.81846 0.856 0.068 0.000 0.008 0.068 0.000
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 1 0.5403 0.66018 0.680 0.100 0.000 0.012 0.172 0.036
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.3912 0.57493 0.000 0.748 0.044 0.004 0.204 0.000
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 1 0.2412 0.84967 0.892 0.012 0.000 0.004 0.080 0.012
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.0777 0.85522 0.972 0.000 0.000 0.000 0.024 0.004
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 3 0.4552 0.51612 0.000 0.064 0.648 0.000 0.288 0.000
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 3 0.5164 0.41033 0.000 0.116 0.584 0.000 0.300 0.000
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 1 0.5205 0.41068 0.580 0.008 0.004 0.072 0.336 0.000
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 1 0.6855 -0.02206 0.436 0.092 0.024 0.072 0.376 0.000
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.0951 0.86135 0.968 0.000 0.000 0.004 0.008 0.020
#> DA1301D3-1F84-46C5-AB44-079493A81A51 1 0.3352 0.82922 0.840 0.044 0.000 0.008 0.096 0.012
#> A12B1681-B598-40C3-80FE-1801F3F1189D 1 0.4956 0.71928 0.712 0.044 0.000 0.008 0.180 0.056
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 2 0.3579 0.59371 0.064 0.808 0.000 0.008 0.120 0.000
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 4 0.4701 0.73946 0.028 0.256 0.000 0.676 0.040 0.000
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.5034 0.52279 0.000 0.652 0.144 0.004 0.200 0.000
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.4022 0.58549 0.084 0.788 0.000 0.024 0.104 0.000
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 1 0.3621 0.75580 0.772 0.004 0.000 0.032 0.192 0.000
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.6070 0.06868 0.000 0.428 0.344 0.004 0.224 0.000
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.5357 0.45992 0.000 0.608 0.180 0.004 0.208 0.000
#> 1D0379B1-0E99-4E6D-B890-907C92860654 2 0.4667 0.54903 0.096 0.720 0.000 0.020 0.164 0.000
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.4463 0.61633 0.052 0.752 0.036 0.004 0.156 0.000
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 2 0.4273 0.58711 0.044 0.784 0.004 0.076 0.092 0.000
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 2 0.5489 -0.04944 0.016 0.556 0.000 0.332 0.096 0.000
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0603 0.85867 0.980 0.004 0.000 0.000 0.016 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.4474 0.55833 0.000 0.724 0.048 0.028 0.200 0.000
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.1918 0.85721 0.904 0.000 0.000 0.008 0.088 0.000
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.6070 0.07463 0.000 0.428 0.344 0.004 0.224 0.000
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.1728 0.85742 0.924 0.004 0.000 0.008 0.064 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.3621 0.58484 0.000 0.772 0.032 0.004 0.192 0.000
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 1 0.5511 0.61631 0.660 0.096 0.016 0.028 0.200 0.000
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.5795 0.28391 0.000 0.548 0.172 0.012 0.268 0.000
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.0993 0.86221 0.964 0.012 0.000 0.000 0.024 0.000
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.4022 0.58549 0.084 0.788 0.000 0.024 0.104 0.000
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0935 0.85908 0.964 0.004 0.000 0.000 0.032 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0891 0.85603 0.968 0.000 0.000 0.008 0.024 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.3335 0.59931 0.004 0.804 0.020 0.004 0.168 0.000
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.5328 0.66553 0.684 0.112 0.000 0.012 0.164 0.028
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.3946 0.58942 0.000 0.764 0.068 0.004 0.164 0.000
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0146 0.80409 0.000 0.004 0.996 0.000 0.000 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 3 0.3078 0.67843 0.000 0.012 0.796 0.000 0.192 0.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.3245 0.67098 0.000 0.028 0.800 0.000 0.172 0.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 2 0.6768 0.17935 0.364 0.428 0.000 0.048 0.148 0.012
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.5927 0.50796 0.044 0.612 0.160 0.004 0.180 0.000
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.5440 -0.23832 0.012 0.520 0.000 0.380 0.088 0.000
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.3585 0.59642 0.000 0.792 0.048 0.004 0.156 0.000
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.3497 0.60445 0.048 0.832 0.000 0.036 0.084 0.000
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0692 0.85782 0.976 0.000 0.000 0.004 0.020 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0692 0.85534 0.976 0.000 0.000 0.000 0.020 0.004
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.1973 0.85839 0.916 0.012 0.000 0.004 0.064 0.004
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0291 0.85784 0.992 0.004 0.000 0.000 0.004 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 3 0.5504 0.27549 0.000 0.152 0.532 0.000 0.316 0.000
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.3560 0.62476 0.008 0.816 0.056 0.004 0.116 0.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0891 0.86007 0.968 0.008 0.000 0.000 0.024 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.4765 0.54839 0.000 0.680 0.112 0.004 0.204 0.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.0820 0.86151 0.972 0.012 0.000 0.000 0.016 0.000
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.1477 0.86098 0.940 0.000 0.000 0.008 0.048 0.004
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0146 0.80409 0.000 0.004 0.996 0.000 0.000 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.2058 0.85838 0.908 0.008 0.000 0.012 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", "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 17654 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'CV' method.
#> Subgroups are detected by 'kmeans' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 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 0.948 0.953 0.979 0.4951 0.503 0.503
#> 3 3 0.978 0.936 0.966 0.2086 0.841 0.702
#> 4 4 0.689 0.666 0.820 0.1581 0.915 0.793
#> 5 5 0.684 0.660 0.785 0.0948 0.815 0.497
#> 6 6 0.655 0.445 0.722 0.0554 0.921 0.685
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
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.970 1.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 2 0.0000 0.984 0.000 1.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.0000 0.970 1.000 0.000
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.0000 0.970 1.000 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.0000 0.970 1.000 0.000
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.0000 0.970 1.000 0.000
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 2 0.5408 0.852 0.124 0.876
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 2 0.0376 0.986 0.004 0.996
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.0000 0.970 1.000 0.000
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 1 0.7056 0.770 0.808 0.192
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.0000 0.970 1.000 0.000
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#> 552D3B42-8D22-4B64-B3A2-B3E5D51A8524 2 0.0376 0.986 0.004 0.996
#> FED9F364-BC3F-4134-BF4B-4D24B0EB8315 1 0.0000 0.970 1.000 0.000
#> 7B0D7792-C803-4DD0-B9BF-CB83DA2D199A 1 0.0000 0.970 1.000 0.000
#> B4F82CBB-A47C-44C3-81AC-CF775FF06FCD 1 0.0000 0.970 1.000 0.000
#> BFAB10CF-5B24-40F7-92E7-C2E60DD779EF 1 0.0000 0.970 1.000 0.000
#> E4E259E1-48B2-4C76-B113-E46270742F53 2 0.0376 0.986 0.004 0.996
#> 81FCBC31-367A-4B1C-A832-B133E4A43738 2 0.1843 0.963 0.028 0.972
#> 8690FA0F-9C1C-4D97-813A-3FB56827FBFC 2 0.0376 0.986 0.004 0.996
#> 9810CF0C-99D1-445B-B1F9-C956D2438495 2 0.0000 0.984 0.000 1.000
#> 2F5073E1-9EDD-46B5-95E3-8314E2A5B620 1 0.0000 0.970 1.000 0.000
#> B454F9FB-439A-43B5-877D-752D0F138AB5 2 0.0000 0.984 0.000 1.000
#> 287F2B71-92F8-4D14-8249-C1BFBB254BE7 1 0.0000 0.970 1.000 0.000
#> 52DC920F-0AD5-47CE-BD81-31843876B71E 1 0.0000 0.970 1.000 0.000
#> 6BAC4B1B-C3FC-4A09-9821-232E510E6A47 1 0.0000 0.970 1.000 0.000
#> A2B87EED-0D8E-4B20-85D3-FD9CC5E2E806 1 0.0000 0.970 1.000 0.000
#> 43E6DB93-2DA6-4F0F-BF81-0C3869134D2B 1 0.0000 0.970 1.000 0.000
#> 09A2ED74-A7C7-4DBB-8EDD-C80D0F0AEFDF 1 0.0000 0.970 1.000 0.000
#> 35EDCB52-D4B5-4305-8A74-95EFE6F2BFB1 1 0.0000 0.970 1.000 0.000
#> D5D18AF8-9CC2-496C-A83A-31BBA0195CFD 1 0.6438 0.806 0.836 0.164
#> 03767EDF-2F8A-41DE-8D80-F4BE861225A3 2 0.9686 0.346 0.396 0.604
#> 586BC656-AD9C-44EF-9ED4-87DEEB5C8AA6 1 0.0000 0.970 1.000 0.000
#> 23CA1146-CB1B-4054-A4FF-200B87444BF9 1 0.0000 0.970 1.000 0.000
#> 910E9B6D-E7D5-4C83-A19C-1EEA6E135639 1 0.7376 0.749 0.792 0.208
#> F36353A3-6CE6-4347-A78B-0AAD8FAB14AD 1 0.0000 0.970 1.000 0.000
#> 2045736E-7D0F-4B17-B74B-3B12AEE3E68C 1 0.0000 0.970 1.000 0.000
#> 5EFA2C2D-30B3-4D66-9601-354711F9FC56 2 0.0000 0.984 0.000 1.000
#> 3FBD381D-84C8-4680-980B-CC4B7924BE06 2 0.0376 0.986 0.004 0.996
#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 2 0.7745 0.697 0.228 0.772
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 1 0.0000 0.970 1.000 0.000
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 2 0.0376 0.986 0.004 0.996
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 2 0.0376 0.986 0.004 0.996
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 1 0.0000 0.970 1.000 0.000
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 2 0.0376 0.986 0.004 0.996
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 2 0.0376 0.986 0.004 0.996
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 1 0.0000 0.970 1.000 0.000
#> A3343F40-F977-4F9B-856A-28781F10F4CD 2 0.0376 0.986 0.004 0.996
#> DA144299-5541-47D7-A59E-C92896DF08FC 1 0.0000 0.970 1.000 0.000
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 2 0.0376 0.986 0.004 0.996
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.0000 0.970 1.000 0.000
#> 617447CF-9327-4062-B22C-71A8944C948F 2 0.0376 0.986 0.004 0.996
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0000 0.970 1.000 0.000
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 2 0.0376 0.986 0.004 0.996
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.0000 0.970 1.000 0.000
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.0376 0.986 0.004 0.996
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.0000 0.970 1.000 0.000
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 2 0.0000 0.984 0.000 1.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 2 0.0376 0.986 0.004 0.996
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 2 0.0000 0.984 0.000 1.000
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.0000 0.970 1.000 0.000
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 1 0.0000 0.970 1.000 0.000
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.0376 0.986 0.004 0.996
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 1 0.0000 0.970 1.000 0.000
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.0000 0.970 1.000 0.000
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 2 0.0000 0.984 0.000 1.000
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 2 0.0000 0.984 0.000 1.000
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 1 0.0000 0.970 1.000 0.000
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 1 0.9580 0.392 0.620 0.380
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.0000 0.970 1.000 0.000
#> DA1301D3-1F84-46C5-AB44-079493A81A51 1 0.0000 0.970 1.000 0.000
#> A12B1681-B598-40C3-80FE-1801F3F1189D 1 0.0000 0.970 1.000 0.000
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 2 0.0376 0.986 0.004 0.996
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 2 0.9732 0.298 0.404 0.596
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.0376 0.986 0.004 0.996
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.0376 0.986 0.004 0.996
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 1 0.0000 0.970 1.000 0.000
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.0376 0.986 0.004 0.996
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.0000 0.984 0.000 1.000
#> 1D0379B1-0E99-4E6D-B890-907C92860654 2 0.0376 0.986 0.004 0.996
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.0376 0.986 0.004 0.996
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 2 0.0376 0.986 0.004 0.996
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 2 0.0376 0.986 0.004 0.996
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0000 0.970 1.000 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.0376 0.986 0.004 0.996
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.0000 0.970 1.000 0.000
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.0376 0.986 0.004 0.996
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0000 0.970 1.000 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.0376 0.986 0.004 0.996
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 1 0.0000 0.970 1.000 0.000
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.0376 0.986 0.004 0.996
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.0000 0.970 1.000 0.000
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.0376 0.986 0.004 0.996
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.970 1.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.970 1.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.0376 0.986 0.004 0.996
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.0000 0.970 1.000 0.000
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.0376 0.986 0.004 0.996
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 2 0.0000 0.984 0.000 1.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 2 0.0000 0.984 0.000 1.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 2 0.0000 0.984 0.000 1.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 1 0.6438 0.806 0.836 0.164
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.0376 0.986 0.004 0.996
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.0376 0.986 0.004 0.996
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.0376 0.986 0.004 0.996
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.0376 0.986 0.004 0.996
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.970 1.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.970 1.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.0000 0.970 1.000 0.000
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0000 0.970 1.000 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.0000 0.984 0.000 1.000
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.0376 0.986 0.004 0.996
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0000 0.970 1.000 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.0376 0.986 0.004 0.996
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.0000 0.970 1.000 0.000
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.0000 0.970 1.000 0.000
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 2 0.0000 0.984 0.000 1.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.0000 0.970 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0237 0.955 0.996 0.000 0.004
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.1643 0.991 0.000 0.044 0.956
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.0237 0.955 0.996 0.000 0.004
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.0000 0.955 1.000 0.000 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.0237 0.955 0.996 0.000 0.004
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.0237 0.955 0.996 0.000 0.004
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 2 0.0000 0.973 0.000 1.000 0.000
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 2 0.0000 0.973 0.000 1.000 0.000
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.0237 0.955 0.996 0.000 0.004
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 1 0.6345 0.348 0.596 0.400 0.004
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.0000 0.955 1.000 0.000 0.000
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 3 0.2066 0.978 0.000 0.060 0.940
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.1643 0.952 0.956 0.000 0.044
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 2 0.4504 0.728 0.000 0.804 0.196
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 2 0.5254 0.602 0.264 0.736 0.000
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.0000 0.973 0.000 1.000 0.000
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0237 0.955 0.996 0.000 0.004
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0892 0.955 0.980 0.000 0.020
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 1 0.0237 0.955 0.996 0.000 0.004
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.1643 0.952 0.956 0.000 0.044
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 1 0.6215 0.251 0.572 0.428 0.000
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.2711 0.878 0.000 0.912 0.088
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 2 0.0000 0.973 0.000 1.000 0.000
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.1031 0.955 0.976 0.000 0.024
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 2 0.0000 0.973 0.000 1.000 0.000
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 1 0.0000 0.955 1.000 0.000 0.000
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.0000 0.973 0.000 1.000 0.000
#> 375FE390-434B-41D3-9029-84065B1D7B6F 2 0.0000 0.973 0.000 1.000 0.000
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.1529 0.952 0.960 0.000 0.040
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.0000 0.973 0.000 1.000 0.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.0000 0.973 0.000 1.000 0.000
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.0000 0.973 0.000 1.000 0.000
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.0000 0.973 0.000 1.000 0.000
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.1643 0.952 0.956 0.000 0.044
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 2 0.0000 0.973 0.000 1.000 0.000
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 2 0.0000 0.973 0.000 1.000 0.000
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 1 0.0424 0.955 0.992 0.000 0.008
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.1643 0.991 0.000 0.044 0.956
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.0237 0.955 0.996 0.000 0.004
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.1643 0.991 0.000 0.044 0.956
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 2 0.0000 0.973 0.000 1.000 0.000
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.1643 0.991 0.000 0.044 0.956
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.1643 0.991 0.000 0.044 0.956
#> 906CBD77-BD00-4199-B56C-E525C9509442 1 0.1643 0.952 0.956 0.000 0.044
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 2 0.5517 0.587 0.268 0.728 0.004
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.0237 0.955 0.996 0.000 0.004
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 2 0.0000 0.973 0.000 1.000 0.000
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 1 0.0000 0.955 1.000 0.000 0.000
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.1643 0.952 0.956 0.000 0.044
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 2 0.0000 0.973 0.000 1.000 0.000
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.0000 0.973 0.000 1.000 0.000
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 2 0.3752 0.784 0.144 0.856 0.000
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.1643 0.991 0.000 0.044 0.956
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.0237 0.955 0.996 0.000 0.004
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 2 0.0000 0.973 0.000 1.000 0.000
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 2 0.0000 0.973 0.000 1.000 0.000
#> 208165C0-229B-49E2-A22A-575CA3157C9E 2 0.0000 0.973 0.000 1.000 0.000
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 1 0.1031 0.954 0.976 0.000 0.024
#> 01397021-8495-4D89-885A-166B4DBA0122 3 0.1643 0.991 0.000 0.044 0.956
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 3 0.1643 0.991 0.000 0.044 0.956
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.1643 0.952 0.956 0.000 0.044
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 2 0.0000 0.973 0.000 1.000 0.000
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 2 0.0000 0.973 0.000 1.000 0.000
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 3 0.3816 0.876 0.000 0.148 0.852
#> AA569A06-0F37-4492-93F3-60A4539A3E82 2 0.0000 0.973 0.000 1.000 0.000
#> BC53FB75-94CA-48C3-875B-5987037D186F 2 0.0000 0.973 0.000 1.000 0.000
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 1 0.0237 0.955 0.996 0.000 0.004
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 2 0.0000 0.973 0.000 1.000 0.000
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 2 0.0000 0.973 0.000 1.000 0.000
#> DF67F589-A607-4B95-96B8-4BB344132312 2 0.0000 0.973 0.000 1.000 0.000
#> A65233E6-C146-4ACF-8DDE-5FB12D8D9637 3 0.1643 0.991 0.000 0.044 0.956
#> 7578C9A3-FFF8-45C4-AC28-1C6141A9A2AD 1 0.0892 0.955 0.980 0.000 0.020
#> 4DF775B9-E2FE-4F5E-8329-C37E21C5D10E 1 0.0237 0.955 0.996 0.000 0.004
#> 5E6B86C6-3D79-47BB-9FAF-CA22659CFEA7 1 0.0000 0.955 1.000 0.000 0.000
#> 53286128-668B-47EA-9A5F-D768FDCCBE88 1 0.1411 0.953 0.964 0.000 0.036
#> 01C9F351-97FE-4037-A879-9D96A3DD3FBB 3 0.2066 0.978 0.000 0.060 0.940
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#> 617447CF-9327-4062-B22C-71A8944C948F 2 0.0000 0.973 0.000 1.000 0.000
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.1643 0.952 0.956 0.000 0.044
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 2 0.0000 0.973 0.000 1.000 0.000
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.0237 0.955 0.996 0.000 0.004
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.0000 0.973 0.000 1.000 0.000
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.0237 0.955 0.996 0.000 0.004
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 3 0.1643 0.991 0.000 0.044 0.956
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 2 0.0000 0.973 0.000 1.000 0.000
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 3 0.1643 0.991 0.000 0.044 0.956
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.0237 0.955 0.996 0.000 0.004
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 1 0.0000 0.955 1.000 0.000 0.000
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.0000 0.973 0.000 1.000 0.000
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 1 0.1529 0.952 0.960 0.000 0.040
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.1529 0.952 0.960 0.000 0.040
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 3 0.1643 0.991 0.000 0.044 0.956
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 3 0.5650 0.611 0.000 0.312 0.688
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 1 0.0237 0.955 0.996 0.000 0.004
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 1 0.4575 0.721 0.812 0.184 0.004
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.1529 0.952 0.960 0.000 0.040
#> DA1301D3-1F84-46C5-AB44-079493A81A51 1 0.0237 0.955 0.996 0.000 0.004
#> A12B1681-B598-40C3-80FE-1801F3F1189D 1 0.0000 0.955 1.000 0.000 0.000
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 2 0.0000 0.973 0.000 1.000 0.000
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 2 0.0000 0.973 0.000 1.000 0.000
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.0000 0.973 0.000 1.000 0.000
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.0000 0.973 0.000 1.000 0.000
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 1 0.0237 0.955 0.996 0.000 0.004
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.0000 0.973 0.000 1.000 0.000
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.0000 0.973 0.000 1.000 0.000
#> 1D0379B1-0E99-4E6D-B890-907C92860654 2 0.0000 0.973 0.000 1.000 0.000
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.0000 0.973 0.000 1.000 0.000
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 2 0.0000 0.973 0.000 1.000 0.000
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 2 0.0000 0.973 0.000 1.000 0.000
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.1529 0.952 0.960 0.000 0.040
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.0000 0.973 0.000 1.000 0.000
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.0237 0.955 0.996 0.000 0.004
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.0000 0.973 0.000 1.000 0.000
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0237 0.955 0.996 0.000 0.004
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.0000 0.973 0.000 1.000 0.000
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 1 0.0237 0.955 0.996 0.000 0.004
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.0000 0.973 0.000 1.000 0.000
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.1529 0.952 0.960 0.000 0.040
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.0000 0.973 0.000 1.000 0.000
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.1643 0.952 0.956 0.000 0.044
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.1643 0.952 0.956 0.000 0.044
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.0000 0.973 0.000 1.000 0.000
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.0000 0.955 1.000 0.000 0.000
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.0000 0.973 0.000 1.000 0.000
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.1643 0.991 0.000 0.044 0.956
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 3 0.2066 0.978 0.000 0.060 0.940
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.1643 0.991 0.000 0.044 0.956
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 1 0.6033 0.496 0.660 0.336 0.004
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.0000 0.973 0.000 1.000 0.000
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.0000 0.973 0.000 1.000 0.000
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.0000 0.973 0.000 1.000 0.000
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.0000 0.973 0.000 1.000 0.000
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.1529 0.952 0.960 0.000 0.040
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.1529 0.952 0.960 0.000 0.040
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.0237 0.955 0.996 0.000 0.004
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.1411 0.953 0.964 0.000 0.036
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.0000 0.973 0.000 1.000 0.000
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.0000 0.973 0.000 1.000 0.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.1529 0.952 0.960 0.000 0.040
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.0000 0.973 0.000 1.000 0.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.1529 0.952 0.960 0.000 0.040
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.0000 0.955 1.000 0.000 0.000
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.1643 0.991 0.000 0.044 0.956
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.0237 0.955 0.996 0.000 0.004
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.2868 0.83021 0.864 0.000 0.000 0.136
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.93820 0.000 0.000 1.000 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.4605 0.79676 0.664 0.000 0.000 0.336
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.4730 0.77771 0.636 0.000 0.000 0.364
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.4643 0.79432 0.656 0.000 0.000 0.344
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.4103 0.82127 0.744 0.000 0.000 0.256
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 2 0.5000 0.07049 0.000 0.500 0.000 0.500
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 2 0.4977 0.19459 0.000 0.540 0.000 0.460
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.4605 0.79805 0.664 0.000 0.000 0.336
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 4 0.3842 0.55435 0.036 0.128 0.000 0.836
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 4 0.5000 -0.64551 0.496 0.000 0.000 0.504
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 3 0.5756 0.47629 0.000 0.400 0.568 0.032
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0188 0.81173 0.996 0.000 0.000 0.004
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 2 0.2179 0.68143 0.000 0.924 0.064 0.012
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 4 0.5512 0.45474 0.040 0.300 0.000 0.660
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.2469 0.69417 0.000 0.892 0.000 0.108
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.3311 0.82962 0.828 0.000 0.000 0.172
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.1867 0.82736 0.928 0.000 0.000 0.072
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 1 0.4730 0.78384 0.636 0.000 0.000 0.364
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0921 0.81746 0.972 0.000 0.000 0.028
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 4 0.5247 0.48025 0.100 0.148 0.000 0.752
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.2797 0.65756 0.000 0.900 0.068 0.032
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 2 0.4977 0.21387 0.000 0.540 0.000 0.460
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.1716 0.82450 0.936 0.000 0.000 0.064
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 2 0.4830 0.34740 0.000 0.608 0.000 0.392
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 1 0.5000 0.64730 0.504 0.000 0.000 0.496
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.0000 0.74779 0.000 1.000 0.000 0.000
#> 375FE390-434B-41D3-9029-84065B1D7B6F 4 0.4972 0.10268 0.000 0.456 0.000 0.544
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0188 0.81167 0.996 0.000 0.000 0.004
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.0000 0.74779 0.000 1.000 0.000 0.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.0000 0.74779 0.000 1.000 0.000 0.000
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.1022 0.72995 0.000 0.968 0.000 0.032
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.0817 0.73560 0.000 0.976 0.000 0.024
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.2814 0.82817 0.868 0.000 0.000 0.132
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 2 0.0921 0.73294 0.000 0.972 0.000 0.028
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 2 0.4522 0.49269 0.000 0.680 0.000 0.320
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 1 0.4193 0.81874 0.732 0.000 0.000 0.268
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0000 0.93820 0.000 0.000 1.000 0.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.3726 0.82657 0.788 0.000 0.000 0.212
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.0000 0.93820 0.000 0.000 1.000 0.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 2 0.4977 0.21387 0.000 0.540 0.000 0.460
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.0188 0.93745 0.000 0.000 0.996 0.004
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.0000 0.93820 0.000 0.000 1.000 0.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 1 0.2589 0.82692 0.884 0.000 0.000 0.116
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 4 0.4423 0.54982 0.036 0.176 0.000 0.788
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.3123 0.82958 0.844 0.000 0.000 0.156
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 2 0.4804 0.41807 0.000 0.616 0.000 0.384
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 1 0.4679 0.78960 0.648 0.000 0.000 0.352
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.0592 0.81684 0.984 0.000 0.000 0.016
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 2 0.4804 0.38932 0.000 0.616 0.000 0.384
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.0817 0.74309 0.000 0.976 0.000 0.024
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 4 0.5599 0.40170 0.040 0.316 0.000 0.644
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.0000 0.93820 0.000 0.000 1.000 0.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.4877 0.68171 0.592 0.000 0.000 0.408
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 2 0.0188 0.74762 0.000 0.996 0.000 0.004
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 2 0.4977 0.21387 0.000 0.540 0.000 0.460
#> 208165C0-229B-49E2-A22A-575CA3157C9E 2 0.4877 0.33750 0.000 0.592 0.000 0.408
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 1 0.4888 0.60446 0.588 0.000 0.000 0.412
#> 01397021-8495-4D89-885A-166B4DBA0122 3 0.0000 0.93820 0.000 0.000 1.000 0.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 3 0.0000 0.93820 0.000 0.000 1.000 0.000
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.0188 0.81173 0.996 0.000 0.000 0.004
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 2 0.4072 0.57747 0.000 0.748 0.000 0.252
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 2 0.1792 0.72967 0.000 0.932 0.000 0.068
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 2 0.5928 -0.20900 0.000 0.508 0.456 0.036
#> AA569A06-0F37-4492-93F3-60A4539A3E82 2 0.3942 0.59096 0.000 0.764 0.000 0.236
#> BC53FB75-94CA-48C3-875B-5987037D186F 2 0.0921 0.73294 0.000 0.972 0.000 0.028
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 1 0.2530 0.82957 0.888 0.000 0.000 0.112
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 2 0.0921 0.73294 0.000 0.972 0.000 0.028
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 2 0.3311 0.65020 0.000 0.828 0.000 0.172
#> DF67F589-A607-4B95-96B8-4BB344132312 2 0.0188 0.74673 0.000 0.996 0.000 0.004
#> A65233E6-C146-4ACF-8DDE-5FB12D8D9637 3 0.0000 0.93820 0.000 0.000 1.000 0.000
#> 7578C9A3-FFF8-45C4-AC28-1C6141A9A2AD 1 0.2281 0.82717 0.904 0.000 0.000 0.096
#> 4DF775B9-E2FE-4F5E-8329-C37E21C5D10E 1 0.4955 0.70881 0.556 0.000 0.000 0.444
#> 5E6B86C6-3D79-47BB-9FAF-CA22659CFEA7 1 0.4999 0.64367 0.508 0.000 0.000 0.492
#> 53286128-668B-47EA-9A5F-D768FDCCBE88 1 0.1302 0.82212 0.956 0.000 0.000 0.044
#> 01C9F351-97FE-4037-A879-9D96A3DD3FBB 3 0.5756 0.47607 0.000 0.400 0.568 0.032
#> 5487DB21-6A58-46AC-A2A1-E343082D41D8 1 0.4564 0.80103 0.672 0.000 0.000 0.328
#> 0FB3E997-4E31-4FA6-9654-11C3C0AF8D86 2 0.0000 0.74779 0.000 1.000 0.000 0.000
#> A0706E80-FDF9-4721-BEB4-90527F6D38C4 2 0.1022 0.72995 0.000 0.968 0.000 0.032
#> 5260226E-1826-4F54-8237-28993DD2EF04 3 0.0000 0.93820 0.000 0.000 1.000 0.000
#> F53F71A7-A399-49AB-8657-019C5C56F48C 2 0.1716 0.72541 0.000 0.936 0.000 0.064
#> 008159F2-5247-479A-8BFE-C394888D0B74 2 0.4977 0.21387 0.000 0.540 0.000 0.460
#> 9E6BA6FB-35F2-4510-94AE-3E7CDFED3D47 3 0.0188 0.93745 0.000 0.000 0.996 0.004
#> F12BE7AC-D2DD-4AD1-AB37-32DC85954F59 2 0.5000 0.06801 0.000 0.500 0.000 0.500
#> 38A6BA1F-B444-4155-A168-EC2DF0EE0785 1 0.4697 0.68199 0.644 0.000 0.000 0.356
#> B107D1DE-EE52-4E89-B75A-91124BFF99AE 3 0.0000 0.93820 0.000 0.000 1.000 0.000
#> D4D16D09-8895-4BEA-ABF7-F11C5D5BDCAA 1 0.4543 0.80210 0.676 0.000 0.000 0.324
#> 9A53C473-1364-4BB6-AD36-EF53E0208450 1 0.3649 0.82786 0.796 0.000 0.000 0.204
#> F00C0ED6-C811-4F32-BDB4-4ACA7861DC7D 2 0.0000 0.74779 0.000 1.000 0.000 0.000
#> 72618985-CD49-4B6F-8CB0-5EE590FAD09A 2 0.3801 0.60705 0.000 0.780 0.000 0.220
#> 978A315F-CCE9-4D03-A680-C0AD60B10557 2 0.0000 0.74779 0.000 1.000 0.000 0.000
#> B6EACAED-3944-4510-B685-0BB8D1651D4F 1 0.4679 0.78960 0.648 0.000 0.000 0.352
#> EBCF16B4-A804-45EB-8253-0F28A2645729 1 0.3266 0.82459 0.832 0.000 0.000 0.168
#> 637DC441-4A75-4DA8-8F65-91FDB5F103C7 1 0.4992 0.67477 0.524 0.000 0.000 0.476
#> 89F67654-A246-4307-9B17-4A1C01DB1AED 2 0.0817 0.74309 0.000 0.976 0.000 0.024
#> 3A8EB57B-71ED-4169-A8EB-624C67CDBBE1 2 0.0000 0.74779 0.000 1.000 0.000 0.000
#> CC4DA9C6-CAB2-44FF-8219-D293ECD07DD4 1 0.4605 0.79676 0.664 0.000 0.000 0.336
#> AEC4FDAA-8F60-43CE-8EBB-5629FA662F16 2 0.1118 0.73865 0.000 0.964 0.000 0.036
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#> 563D6436-E370-45A5-BC2C-5AC574B7B202 2 0.4072 0.54511 0.000 0.748 0.000 0.252
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 1 0.4661 0.79207 0.652 0.000 0.000 0.348
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 2 0.0000 0.74779 0.000 1.000 0.000 0.000
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 2 0.4981 0.20123 0.000 0.536 0.000 0.464
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 4 0.5000 -0.65084 0.500 0.000 0.000 0.500
#> A3343F40-F977-4F9B-856A-28781F10F4CD 2 0.4040 0.58243 0.000 0.752 0.000 0.248
#> DA144299-5541-47D7-A59E-C92896DF08FC 1 0.4713 0.78540 0.640 0.000 0.000 0.360
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 2 0.0000 0.74779 0.000 1.000 0.000 0.000
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.0188 0.81173 0.996 0.000 0.000 0.004
#> 617447CF-9327-4062-B22C-71A8944C948F 2 0.4804 0.39533 0.000 0.616 0.000 0.384
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0188 0.81173 0.996 0.000 0.000 0.004
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 2 0.4605 0.47257 0.000 0.664 0.000 0.336
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.4072 0.82180 0.748 0.000 0.000 0.252
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.0000 0.74779 0.000 1.000 0.000 0.000
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.3311 0.83023 0.828 0.000 0.000 0.172
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 3 0.0000 0.93820 0.000 0.000 1.000 0.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 2 0.4961 0.24348 0.000 0.552 0.000 0.448
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 3 0.1022 0.92049 0.000 0.000 0.968 0.032
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.4605 0.79836 0.664 0.000 0.000 0.336
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 1 0.5000 0.64730 0.504 0.000 0.000 0.496
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.0000 0.74779 0.000 1.000 0.000 0.000
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 1 0.3219 0.82592 0.836 0.000 0.000 0.164
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.0469 0.81202 0.988 0.000 0.000 0.012
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 3 0.5599 0.54515 0.000 0.352 0.616 0.032
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 2 0.5085 0.38034 0.000 0.708 0.260 0.032
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 1 0.4543 0.80210 0.676 0.000 0.000 0.324
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 1 0.7304 0.57875 0.492 0.164 0.000 0.344
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.0336 0.81190 0.992 0.000 0.000 0.008
#> DA1301D3-1F84-46C5-AB44-079493A81A51 1 0.4679 0.78960 0.648 0.000 0.000 0.352
#> A12B1681-B598-40C3-80FE-1801F3F1189D 1 0.4996 0.64537 0.516 0.000 0.000 0.484
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 2 0.4776 0.40483 0.000 0.624 0.000 0.376
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 4 0.4776 0.30291 0.000 0.376 0.000 0.624
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.0000 0.74779 0.000 1.000 0.000 0.000
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.4866 0.34770 0.000 0.596 0.000 0.404
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 1 0.4585 0.79881 0.668 0.000 0.000 0.332
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.0188 0.74673 0.000 0.996 0.000 0.004
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.0592 0.74038 0.000 0.984 0.000 0.016
#> 1D0379B1-0E99-4E6D-B890-907C92860654 2 0.5000 0.08388 0.000 0.504 0.000 0.496
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.0000 0.74779 0.000 1.000 0.000 0.000
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 2 0.4679 0.44452 0.000 0.648 0.000 0.352
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 2 0.4977 0.21387 0.000 0.540 0.000 0.460
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0469 0.81284 0.988 0.000 0.000 0.012
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.0592 0.74038 0.000 0.984 0.000 0.016
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.4543 0.80210 0.676 0.000 0.000 0.324
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.0188 0.74673 0.000 0.996 0.000 0.004
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.3837 0.82541 0.776 0.000 0.000 0.224
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.0000 0.74779 0.000 1.000 0.000 0.000
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 1 0.4713 0.78470 0.640 0.000 0.000 0.360
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.0921 0.73294 0.000 0.972 0.000 0.028
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.1792 0.82231 0.932 0.000 0.000 0.068
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.3074 0.65942 0.000 0.848 0.000 0.152
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0188 0.81173 0.996 0.000 0.000 0.004
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0188 0.81173 0.996 0.000 0.000 0.004
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.0000 0.74779 0.000 1.000 0.000 0.000
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.4761 0.77827 0.628 0.000 0.000 0.372
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.0000 0.74779 0.000 1.000 0.000 0.000
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.93820 0.000 0.000 1.000 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 3 0.5746 0.48430 0.000 0.396 0.572 0.032
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.0188 0.93745 0.000 0.000 0.996 0.004
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 4 0.4261 0.55513 0.068 0.112 0.000 0.820
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.0000 0.74779 0.000 1.000 0.000 0.000
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.4907 0.30315 0.000 0.580 0.000 0.420
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.0000 0.74779 0.000 1.000 0.000 0.000
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.4790 0.39828 0.000 0.620 0.000 0.380
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.81222 1.000 0.000 0.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0188 0.81173 0.996 0.000 0.000 0.004
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.4543 0.80210 0.676 0.000 0.000 0.324
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.1474 0.82346 0.948 0.000 0.000 0.052
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.1022 0.72995 0.000 0.968 0.000 0.032
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.0000 0.74779 0.000 1.000 0.000 0.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0469 0.81284 0.988 0.000 0.000 0.012
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.0000 0.74779 0.000 1.000 0.000 0.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.1118 0.82059 0.964 0.000 0.000 0.036
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.4500 0.80763 0.684 0.000 0.000 0.316
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.93820 0.000 0.000 1.000 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.4564 0.80085 0.672 0.000 0.000 0.328
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.4127 0.25806 0.680 0.000 0.000 0.008 0.312
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.99226 0.000 0.000 1.000 0.000 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 5 0.4114 0.74427 0.376 0.000 0.000 0.000 0.624
#> 85252141-5469-4F68-8F3F-934F8B3277E5 5 0.5773 0.60928 0.356 0.000 0.000 0.100 0.544
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 5 0.4651 0.74741 0.372 0.000 0.000 0.020 0.608
#> 1B76089D-785F-4353-A898-4E632023D482 5 0.4697 0.72336 0.388 0.000 0.000 0.020 0.592
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 4 0.4675 0.72049 0.000 0.164 0.000 0.736 0.100
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 4 0.4040 0.67763 0.000 0.260 0.000 0.724 0.016
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 5 0.4494 0.74490 0.380 0.000 0.000 0.012 0.608
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 4 0.4439 0.57041 0.012 0.024 0.000 0.728 0.236
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 5 0.5631 0.53962 0.200 0.000 0.000 0.164 0.636
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 2 0.5505 0.39686 0.000 0.620 0.292 0.004 0.084
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0771 0.77335 0.976 0.000 0.000 0.004 0.020
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 2 0.1179 0.82408 0.000 0.964 0.016 0.004 0.016
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 4 0.4406 0.66936 0.000 0.108 0.000 0.764 0.128
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.4937 0.39385 0.000 0.672 0.000 0.264 0.064
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.4542 -0.35440 0.536 0.000 0.000 0.008 0.456
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.2864 0.65871 0.852 0.000 0.000 0.012 0.136
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 5 0.4500 0.70796 0.316 0.004 0.000 0.016 0.664
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0865 0.77215 0.972 0.000 0.000 0.004 0.024
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 5 0.5608 0.17450 0.024 0.032 0.000 0.420 0.524
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.2166 0.78704 0.000 0.912 0.012 0.004 0.072
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 4 0.5045 0.71458 0.000 0.196 0.000 0.696 0.108
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.2921 0.67973 0.856 0.000 0.000 0.020 0.124
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 4 0.5587 0.37410 0.000 0.428 0.000 0.500 0.072
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 5 0.5211 0.58356 0.212 0.000 0.000 0.112 0.676
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.0290 0.82807 0.000 0.992 0.000 0.008 0.000
#> 375FE390-434B-41D3-9029-84065B1D7B6F 4 0.4558 0.70061 0.000 0.216 0.000 0.724 0.060
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.1197 0.74686 0.952 0.000 0.000 0.000 0.048
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.0290 0.82807 0.000 0.992 0.000 0.008 0.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.1012 0.82731 0.000 0.968 0.000 0.020 0.012
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.1830 0.79987 0.000 0.924 0.000 0.008 0.068
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.1211 0.82707 0.000 0.960 0.000 0.024 0.016
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.4360 0.26016 0.680 0.000 0.000 0.020 0.300
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 2 0.1502 0.81018 0.000 0.940 0.000 0.004 0.056
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 4 0.4451 0.27001 0.000 0.492 0.000 0.504 0.004
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 5 0.4686 0.72871 0.384 0.000 0.000 0.020 0.596
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0000 0.99226 0.000 0.000 1.000 0.000 0.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 5 0.4574 0.69356 0.412 0.000 0.000 0.012 0.576
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.0000 0.99226 0.000 0.000 1.000 0.000 0.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 4 0.5045 0.71458 0.000 0.196 0.000 0.696 0.108
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.0404 0.99090 0.000 0.000 0.988 0.000 0.012
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.0000 0.99226 0.000 0.000 1.000 0.000 0.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 1 0.3274 0.48794 0.780 0.000 0.000 0.000 0.220
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 4 0.3846 0.60385 0.004 0.020 0.000 0.776 0.200
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.4697 -0.11918 0.592 0.000 0.000 0.020 0.388
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 4 0.5111 0.42563 0.000 0.464 0.000 0.500 0.036
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 5 0.4585 0.74393 0.352 0.000 0.000 0.020 0.628
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.1704 0.75001 0.928 0.000 0.000 0.004 0.068
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 4 0.4654 0.58854 0.000 0.348 0.000 0.628 0.024
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.1671 0.80102 0.000 0.924 0.000 0.076 0.000
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 4 0.3723 0.65592 0.000 0.044 0.000 0.804 0.152
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.0290 0.99155 0.000 0.000 0.992 0.000 0.008
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 5 0.6254 0.28076 0.368 0.000 0.000 0.152 0.480
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 2 0.3123 0.71922 0.000 0.828 0.000 0.160 0.012
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 4 0.5045 0.71458 0.000 0.196 0.000 0.696 0.108
#> 208165C0-229B-49E2-A22A-575CA3157C9E 4 0.4508 0.61071 0.000 0.332 0.000 0.648 0.020
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 5 0.6724 0.03984 0.356 0.000 0.000 0.252 0.392
#> 01397021-8495-4D89-885A-166B4DBA0122 3 0.0000 0.99226 0.000 0.000 1.000 0.000 0.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 3 0.0290 0.99155 0.000 0.000 0.992 0.000 0.008
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.0798 0.77384 0.976 0.000 0.000 0.008 0.016
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 2 0.4666 -0.01102 0.000 0.572 0.000 0.412 0.016
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 2 0.2535 0.77603 0.000 0.892 0.000 0.076 0.032
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 2 0.4656 0.57462 0.000 0.740 0.180 0.004 0.076
#> AA569A06-0F37-4492-93F3-60A4539A3E82 2 0.4268 -0.02456 0.000 0.556 0.000 0.444 0.000
#> BC53FB75-94CA-48C3-875B-5987037D186F 2 0.0798 0.82693 0.000 0.976 0.000 0.008 0.016
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 1 0.3970 0.55331 0.752 0.000 0.000 0.024 0.224
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 2 0.0865 0.82436 0.000 0.972 0.000 0.004 0.024
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 2 0.4126 0.23728 0.000 0.620 0.000 0.380 0.000
#> DF67F589-A607-4B95-96B8-4BB344132312 2 0.1117 0.82764 0.000 0.964 0.000 0.020 0.016
#> A65233E6-C146-4ACF-8DDE-5FB12D8D9637 3 0.0162 0.99192 0.000 0.000 0.996 0.000 0.004
#> 7578C9A3-FFF8-45C4-AC28-1C6141A9A2AD 1 0.3659 0.51064 0.768 0.000 0.000 0.012 0.220
#> 4DF775B9-E2FE-4F5E-8329-C37E21C5D10E 5 0.5711 0.56716 0.252 0.000 0.000 0.136 0.612
#> 5E6B86C6-3D79-47BB-9FAF-CA22659CFEA7 5 0.5638 0.54563 0.216 0.000 0.000 0.152 0.632
#> 53286128-668B-47EA-9A5F-D768FDCCBE88 1 0.1638 0.75140 0.932 0.000 0.000 0.004 0.064
#> 01C9F351-97FE-4037-A879-9D96A3DD3FBB 2 0.5422 0.39573 0.000 0.624 0.296 0.004 0.076
#> 5487DB21-6A58-46AC-A2A1-E343082D41D8 5 0.4599 0.74147 0.384 0.000 0.000 0.016 0.600
#> 0FB3E997-4E31-4FA6-9654-11C3C0AF8D86 2 0.0290 0.82870 0.000 0.992 0.000 0.008 0.000
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#> F9C8E54A-4CE4-4839-B0CA-58678461EEF1 2 0.0579 0.82795 0.000 0.984 0.000 0.008 0.008
#> AE818BC4-05BF-4E85-A4AD-F3E43DD7D37A 2 0.0510 0.82816 0.000 0.984 0.000 0.016 0.000
#> BA73A860-CADE-408D-8D27-14EADA2B53B0 4 0.4245 0.57345 0.008 0.020 0.000 0.736 0.236
#> 688858C8-48CA-43E9-AE2C-B9D4F80B5EE9 2 0.0290 0.82807 0.000 0.992 0.000 0.008 0.000
#> EB1D52B2-17B3-491E-B484-1235633D6925 2 0.4440 -0.14584 0.000 0.528 0.000 0.468 0.004
#> AE261B5D-3881-40B9-8EE7-26B950E0BE16 5 0.4675 0.73109 0.380 0.000 0.000 0.020 0.600
#> 8C9851D5-3091-4DE0-A59E-9122C0CA1CD2 2 0.2970 0.70657 0.000 0.828 0.000 0.168 0.004
#> C8180F95-4E9C-45DB-B959-B47F64167C2D 4 0.3622 0.66524 0.000 0.048 0.000 0.816 0.136
#> 552D3B42-8D22-4B64-B3A2-B3E5D51A8524 2 0.1638 0.80132 0.000 0.932 0.000 0.004 0.064
#> FED9F364-BC3F-4134-BF4B-4D24B0EB8315 5 0.4380 0.74773 0.376 0.000 0.000 0.008 0.616
#> 7B0D7792-C803-4DD0-B9BF-CB83DA2D199A 1 0.0510 0.77553 0.984 0.000 0.000 0.000 0.016
#> B4F82CBB-A47C-44C3-81AC-CF775FF06FCD 1 0.0510 0.77766 0.984 0.000 0.000 0.000 0.016
#> BFAB10CF-5B24-40F7-92E7-C2E60DD779EF 1 0.4449 -0.51261 0.512 0.000 0.000 0.004 0.484
#> E4E259E1-48B2-4C76-B113-E46270742F53 2 0.1740 0.81366 0.000 0.932 0.000 0.056 0.012
#> 81FCBC31-367A-4B1C-A832-B133E4A43738 4 0.4575 0.68193 0.000 0.236 0.000 0.712 0.052
#> 8690FA0F-9C1C-4D97-813A-3FB56827FBFC 2 0.2505 0.77365 0.000 0.888 0.000 0.092 0.020
#> 9810CF0C-99D1-445B-B1F9-C956D2438495 3 0.1704 0.94908 0.000 0.000 0.928 0.004 0.068
#> 2F5073E1-9EDD-46B5-95E3-8314E2A5B620 5 0.5611 0.54861 0.212 0.000 0.000 0.152 0.636
#> B454F9FB-439A-43B5-877D-752D0F138AB5 2 0.0510 0.82632 0.000 0.984 0.000 0.000 0.016
#> 287F2B71-92F8-4D14-8249-C1BFBB254BE7 1 0.5923 0.28023 0.576 0.000 0.000 0.144 0.280
#> 52DC920F-0AD5-47CE-BD81-31843876B71E 1 0.1168 0.77016 0.960 0.000 0.000 0.008 0.032
#> 6BAC4B1B-C3FC-4A09-9821-232E510E6A47 5 0.5569 0.55888 0.228 0.000 0.000 0.136 0.636
#> A2B87EED-0D8E-4B20-85D3-FD9CC5E2E806 1 0.1478 0.73660 0.936 0.000 0.000 0.000 0.064
#> 43E6DB93-2DA6-4F0F-BF81-0C3869134D2B 1 0.0162 0.77855 0.996 0.000 0.000 0.000 0.004
#> 09A2ED74-A7C7-4DBB-8EDD-C80D0F0AEFDF 5 0.4560 0.54028 0.484 0.000 0.000 0.008 0.508
#> 35EDCB52-D4B5-4305-8A74-95EFE6F2BFB1 1 0.3671 0.44994 0.756 0.000 0.000 0.008 0.236
#> D5D18AF8-9CC2-496C-A83A-31BBA0195CFD 5 0.6877 0.16168 0.092 0.056 0.000 0.404 0.448
#> 03767EDF-2F8A-41DE-8D80-F4BE861225A3 5 0.5683 0.54390 0.164 0.140 0.000 0.020 0.676
#> 586BC656-AD9C-44EF-9ED4-87DEEB5C8AA6 1 0.0404 0.77812 0.988 0.000 0.000 0.000 0.012
#> 23CA1146-CB1B-4054-A4FF-200B87444BF9 1 0.0510 0.77553 0.984 0.000 0.000 0.000 0.016
#> 910E9B6D-E7D5-4C83-A19C-1EEA6E135639 4 0.4245 0.57345 0.008 0.020 0.000 0.736 0.236
#> F36353A3-6CE6-4347-A78B-0AAD8FAB14AD 1 0.0510 0.77553 0.984 0.000 0.000 0.000 0.016
#> 2045736E-7D0F-4B17-B74B-3B12AEE3E68C 1 0.0798 0.77730 0.976 0.000 0.000 0.008 0.016
#> 5EFA2C2D-30B3-4D66-9601-354711F9FC56 3 0.0000 0.99226 0.000 0.000 1.000 0.000 0.000
#> 3FBD381D-84C8-4680-980B-CC4B7924BE06 2 0.0324 0.82807 0.000 0.992 0.000 0.004 0.004
#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 4 0.4671 0.60851 0.000 0.332 0.000 0.640 0.028
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 5 0.4114 0.74427 0.376 0.000 0.000 0.000 0.624
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 2 0.1732 0.79846 0.000 0.920 0.000 0.080 0.000
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 2 0.6000 -0.29818 0.000 0.460 0.000 0.428 0.112
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 5 0.4709 0.75224 0.364 0.000 0.000 0.024 0.612
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 2 0.1740 0.81366 0.000 0.932 0.000 0.056 0.012
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 4 0.5091 0.71425 0.000 0.196 0.000 0.692 0.112
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 5 0.5611 0.54861 0.212 0.000 0.000 0.152 0.636
#> A3343F40-F977-4F9B-856A-28781F10F4CD 2 0.4663 0.16365 0.000 0.604 0.000 0.376 0.020
#> DA144299-5541-47D7-A59E-C92896DF08FC 5 0.5002 0.74389 0.344 0.000 0.000 0.044 0.612
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 2 0.0671 0.82724 0.000 0.980 0.000 0.004 0.016
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.0510 0.77553 0.984 0.000 0.000 0.000 0.016
#> 617447CF-9327-4062-B22C-71A8944C948F 4 0.5329 0.62244 0.000 0.336 0.000 0.596 0.068
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.1082 0.76927 0.964 0.000 0.000 0.008 0.028
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 4 0.5508 0.39601 0.000 0.460 0.000 0.476 0.064
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 5 0.4522 0.64842 0.440 0.000 0.000 0.008 0.552
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.0324 0.82803 0.000 0.992 0.000 0.004 0.004
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.4597 -0.27787 0.564 0.000 0.000 0.012 0.424
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 3 0.0000 0.99226 0.000 0.000 1.000 0.000 0.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 4 0.5268 0.70560 0.000 0.220 0.000 0.668 0.112
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 3 0.1704 0.94908 0.000 0.000 0.928 0.004 0.068
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 5 0.4114 0.74635 0.376 0.000 0.000 0.000 0.624
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 5 0.5510 0.55882 0.208 0.000 0.000 0.144 0.648
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.0404 0.82830 0.000 0.988 0.000 0.012 0.000
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 1 0.3508 0.40952 0.748 0.000 0.000 0.000 0.252
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.0609 0.77509 0.980 0.000 0.000 0.000 0.020
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 2 0.5723 0.14904 0.000 0.532 0.388 0.004 0.076
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 2 0.2820 0.75256 0.000 0.884 0.056 0.004 0.056
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 5 0.4588 0.73562 0.380 0.000 0.000 0.016 0.604
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 5 0.5480 0.64611 0.248 0.076 0.000 0.016 0.660
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.0693 0.77727 0.980 0.000 0.000 0.008 0.012
#> DA1301D3-1F84-46C5-AB44-079493A81A51 5 0.4564 0.74850 0.372 0.000 0.000 0.016 0.612
#> A12B1681-B598-40C3-80FE-1801F3F1189D 5 0.5638 0.54563 0.216 0.000 0.000 0.152 0.632
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 4 0.4403 0.54875 0.000 0.384 0.000 0.608 0.008
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 4 0.3521 0.66272 0.000 0.040 0.000 0.820 0.140
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.0693 0.82818 0.000 0.980 0.000 0.008 0.012
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 4 0.4537 0.55904 0.000 0.396 0.000 0.592 0.012
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 5 0.4675 0.73338 0.380 0.000 0.000 0.020 0.600
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.1942 0.80691 0.000 0.920 0.000 0.068 0.012
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.0771 0.82698 0.000 0.976 0.000 0.004 0.020
#> 1D0379B1-0E99-4E6D-B890-907C92860654 4 0.4133 0.72112 0.000 0.180 0.000 0.768 0.052
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.0880 0.82689 0.000 0.968 0.000 0.032 0.000
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 4 0.4249 0.43779 0.000 0.432 0.000 0.568 0.000
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 4 0.5091 0.71425 0.000 0.196 0.000 0.692 0.112
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0510 0.77670 0.984 0.000 0.000 0.000 0.016
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.0451 0.82816 0.000 0.988 0.000 0.008 0.004
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 5 0.4126 0.74143 0.380 0.000 0.000 0.000 0.620
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.1386 0.82503 0.000 0.952 0.000 0.032 0.016
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 5 0.4443 0.56628 0.472 0.000 0.000 0.004 0.524
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.0404 0.82830 0.000 0.988 0.000 0.012 0.000
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 5 0.4206 0.70255 0.272 0.000 0.000 0.020 0.708
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.0794 0.82118 0.000 0.972 0.000 0.000 0.028
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.1341 0.75489 0.944 0.000 0.000 0.000 0.056
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.3430 0.57370 0.000 0.776 0.000 0.220 0.004
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0510 0.77553 0.984 0.000 0.000 0.000 0.016
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.1082 0.76927 0.964 0.000 0.000 0.008 0.028
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.0703 0.82464 0.000 0.976 0.000 0.024 0.000
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 5 0.4963 0.73924 0.352 0.000 0.000 0.040 0.608
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.0510 0.82721 0.000 0.984 0.000 0.016 0.000
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.99226 0.000 0.000 1.000 0.000 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 2 0.5422 0.39573 0.000 0.624 0.296 0.004 0.076
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.0609 0.98680 0.000 0.000 0.980 0.000 0.020
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 4 0.4153 0.57074 0.008 0.016 0.000 0.740 0.236
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.2920 0.75144 0.000 0.852 0.000 0.132 0.016
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 4 0.5398 0.68838 0.000 0.240 0.000 0.648 0.112
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.1430 0.80979 0.000 0.944 0.000 0.052 0.004
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 4 0.4182 0.53942 0.000 0.400 0.000 0.600 0.000
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0162 0.77831 0.996 0.000 0.000 0.000 0.004
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0609 0.77534 0.980 0.000 0.000 0.000 0.020
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 5 0.4288 0.73936 0.384 0.000 0.000 0.004 0.612
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.2424 0.66867 0.868 0.000 0.000 0.000 0.132
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.1704 0.80010 0.000 0.928 0.000 0.004 0.068
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.0963 0.82322 0.000 0.964 0.000 0.036 0.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0510 0.77670 0.984 0.000 0.000 0.000 0.016
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.0693 0.82818 0.000 0.980 0.000 0.008 0.012
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.0510 0.77751 0.984 0.000 0.000 0.000 0.016
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 5 0.4744 0.70563 0.408 0.000 0.000 0.020 0.572
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.99226 0.000 0.000 1.000 0.000 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 5 0.4392 0.73752 0.380 0.000 0.000 0.008 0.612
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.5760 0.0686 0.508 0.000 0.268 0.000 0.224 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.3828 -0.5512 0.000 0.000 0.560 0.000 0.000 0.440
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 5 0.5919 0.6193 0.212 0.000 0.364 0.000 0.424 0.000
#> 85252141-5469-4F68-8F3F-934F8B3277E5 5 0.6986 0.5828 0.176 0.000 0.308 0.092 0.424 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 5 0.5754 0.6367 0.188 0.000 0.328 0.000 0.484 0.000
#> 1B76089D-785F-4353-A898-4E632023D482 3 0.5902 -0.6784 0.204 0.000 0.404 0.000 0.392 0.000
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 4 0.4551 0.6276 0.000 0.064 0.000 0.708 0.016 0.212
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 4 0.3420 0.6009 0.000 0.204 0.000 0.776 0.012 0.008
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 5 0.5837 0.6217 0.196 0.000 0.352 0.000 0.452 0.000
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 5 0.6129 -0.1619 0.000 0.012 0.000 0.340 0.452 0.196
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 5 0.3562 0.4655 0.076 0.000 0.000 0.064 0.828 0.032
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 2 0.5264 0.4692 0.000 0.592 0.012 0.008 0.064 0.324
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0692 0.8028 0.976 0.000 0.020 0.000 0.004 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 2 0.2024 0.8168 0.000 0.924 0.020 0.012 0.008 0.036
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 4 0.4135 0.6178 0.000 0.064 0.048 0.800 0.080 0.008
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 4 0.5960 0.3171 0.000 0.400 0.000 0.436 0.012 0.152
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.6120 -0.3956 0.348 0.000 0.348 0.000 0.304 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.4344 0.5721 0.716 0.000 0.096 0.000 0.188 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 5 0.6629 0.5839 0.120 0.000 0.364 0.004 0.444 0.068
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.1265 0.7930 0.948 0.000 0.044 0.000 0.008 0.000
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 4 0.6313 -0.3046 0.000 0.004 0.264 0.376 0.352 0.004
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.3670 0.7240 0.000 0.788 0.000 0.004 0.056 0.152
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 4 0.5067 0.6016 0.000 0.080 0.000 0.604 0.008 0.308
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.4573 0.5082 0.672 0.000 0.244 0.000 0.084 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 4 0.5383 0.4767 0.000 0.292 0.040 0.612 0.052 0.004
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 5 0.3228 0.5085 0.096 0.000 0.032 0.028 0.844 0.000
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.0603 0.8201 0.000 0.980 0.000 0.016 0.000 0.004
#> 375FE390-434B-41D3-9029-84065B1D7B6F 4 0.5053 0.6204 0.000 0.160 0.000 0.700 0.044 0.096
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0790 0.7949 0.968 0.000 0.000 0.000 0.032 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.0632 0.8183 0.000 0.976 0.000 0.024 0.000 0.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.1498 0.8208 0.000 0.940 0.000 0.032 0.000 0.028
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.3779 0.7443 0.000 0.800 0.000 0.020 0.056 0.124
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.3051 0.7787 0.000 0.844 0.000 0.112 0.008 0.036
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#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.2727 0.8064 0.000 0.880 0.000 0.064 0.028 0.028
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 3 0.6086 -0.6502 0.284 0.000 0.388 0.000 0.328 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.0632 0.8193 0.000 0.976 0.000 0.024 0.000 0.000
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 5 0.5426 0.6258 0.128 0.000 0.356 0.000 0.516 0.000
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.1655 0.8063 0.000 0.932 0.000 0.008 0.008 0.052
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.1610 0.7704 0.916 0.000 0.000 0.000 0.084 0.000
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.3373 0.5809 0.000 0.744 0.000 0.248 0.000 0.008
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.8070 1.000 0.000 0.000 0.000 0.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.1010 0.7975 0.960 0.000 0.036 0.000 0.004 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.1663 0.7794 0.000 0.912 0.000 0.088 0.000 0.000
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 5 0.5755 0.6094 0.180 0.000 0.296 0.004 0.520 0.000
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.1444 0.7911 0.000 0.928 0.000 0.072 0.000 0.000
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.3828 -0.5512 0.000 0.000 0.560 0.000 0.000 0.440
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 2 0.5044 0.4857 0.000 0.608 0.012 0.004 0.056 0.320
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 6 0.4097 0.6204 0.000 0.008 0.492 0.000 0.000 0.500
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 5 0.6158 -0.1963 0.008 0.000 0.000 0.368 0.408 0.216
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.4477 0.3915 0.000 0.620 0.000 0.344 0.008 0.028
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 4 0.5516 0.5978 0.000 0.124 0.000 0.592 0.016 0.268
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.2488 0.7474 0.000 0.864 0.000 0.124 0.004 0.008
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 4 0.4078 0.5389 0.000 0.320 0.000 0.656 0.000 0.024
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0146 0.8075 0.996 0.000 0.000 0.000 0.004 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0260 0.8061 0.992 0.000 0.000 0.000 0.008 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 5 0.5906 0.6163 0.208 0.000 0.368 0.000 0.424 0.000
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.3775 0.6456 0.780 0.000 0.128 0.000 0.092 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.3603 0.7459 0.000 0.808 0.000 0.012 0.056 0.124
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.1267 0.8093 0.000 0.940 0.000 0.060 0.000 0.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0547 0.8046 0.980 0.000 0.000 0.000 0.020 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.1341 0.8216 0.000 0.948 0.000 0.024 0.000 0.028
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.1176 0.7988 0.956 0.000 0.024 0.000 0.020 0.000
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 5 0.5723 0.6266 0.200 0.000 0.292 0.000 0.508 0.000
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.3828 -0.5512 0.000 0.000 0.560 0.000 0.000 0.440
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 5 0.5885 0.6131 0.208 0.000 0.348 0.000 0.444 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 17654 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'CV' method.
#> Subgroups are detected by 'skmeans' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 3.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.975 0.960 0.984 0.498 0.501 0.501
#> 3 3 0.903 0.921 0.968 0.279 0.821 0.656
#> 4 4 0.883 0.873 0.939 0.118 0.871 0.668
#> 5 5 0.768 0.762 0.879 0.106 0.896 0.653
#> 6 6 0.770 0.645 0.803 0.041 0.943 0.740
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
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.979 1.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 2 0.0000 0.987 0.000 1.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.0000 0.979 1.000 0.000
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.0000 0.979 1.000 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.0000 0.979 1.000 0.000
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.0000 0.979 1.000 0.000
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 2 0.7602 0.710 0.220 0.780
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 2 0.0000 0.987 0.000 1.000
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.0000 0.979 1.000 0.000
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 1 0.0672 0.972 0.992 0.008
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.0000 0.979 1.000 0.000
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 2 0.0000 0.987 0.000 1.000
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.979 1.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 2 0.0000 0.987 0.000 1.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 1 0.6712 0.792 0.824 0.176
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.0000 0.987 0.000 1.000
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0000 0.979 1.000 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.979 1.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 1 0.0000 0.979 1.000 0.000
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0000 0.979 1.000 0.000
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 1 0.0000 0.979 1.000 0.000
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.0000 0.987 0.000 1.000
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 2 0.0000 0.987 0.000 1.000
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0000 0.979 1.000 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 2 0.0000 0.987 0.000 1.000
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 1 0.0000 0.979 1.000 0.000
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.0000 0.987 0.000 1.000
#> 375FE390-434B-41D3-9029-84065B1D7B6F 2 0.0000 0.987 0.000 1.000
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 0.979 1.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.0000 0.987 0.000 1.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.0000 0.987 0.000 1.000
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.0000 0.987 0.000 1.000
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.0000 0.987 0.000 1.000
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.0000 0.979 1.000 0.000
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 2 0.0000 0.987 0.000 1.000
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 2 0.0000 0.987 0.000 1.000
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 1 0.0000 0.979 1.000 0.000
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 2 0.0000 0.987 0.000 1.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.0000 0.979 1.000 0.000
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 2 0.0000 0.987 0.000 1.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 2 0.0000 0.987 0.000 1.000
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 2 0.0000 0.987 0.000 1.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 2 0.0000 0.987 0.000 1.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 1 0.0000 0.979 1.000 0.000
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 1 0.7219 0.759 0.800 0.200
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.0000 0.979 1.000 0.000
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 2 0.0000 0.987 0.000 1.000
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 1 0.0000 0.979 1.000 0.000
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.0000 0.979 1.000 0.000
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 2 0.0000 0.987 0.000 1.000
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.0000 0.987 0.000 1.000
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 1 0.7528 0.735 0.784 0.216
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 2 0.0000 0.987 0.000 1.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.0000 0.979 1.000 0.000
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 2 0.0000 0.987 0.000 1.000
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 2 0.0000 0.987 0.000 1.000
#> 208165C0-229B-49E2-A22A-575CA3157C9E 2 0.0000 0.987 0.000 1.000
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 1 0.0000 0.979 1.000 0.000
#> 01397021-8495-4D89-885A-166B4DBA0122 2 0.0000 0.987 0.000 1.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 2 0.0000 0.987 0.000 1.000
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.0000 0.979 1.000 0.000
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 2 0.0000 0.987 0.000 1.000
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 2 0.0000 0.987 0.000 1.000
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 2 0.0000 0.987 0.000 1.000
#> AA569A06-0F37-4492-93F3-60A4539A3E82 2 0.0000 0.987 0.000 1.000
#> BC53FB75-94CA-48C3-875B-5987037D186F 2 0.0000 0.987 0.000 1.000
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 1 0.0000 0.979 1.000 0.000
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 2 0.0000 0.987 0.000 1.000
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 2 0.0000 0.987 0.000 1.000
#> DF67F589-A607-4B95-96B8-4BB344132312 2 0.0000 0.987 0.000 1.000
#> A65233E6-C146-4ACF-8DDE-5FB12D8D9637 2 0.0000 0.987 0.000 1.000
#> 7578C9A3-FFF8-45C4-AC28-1C6141A9A2AD 1 0.0000 0.979 1.000 0.000
#> 4DF775B9-E2FE-4F5E-8329-C37E21C5D10E 1 0.0000 0.979 1.000 0.000
#> 5E6B86C6-3D79-47BB-9FAF-CA22659CFEA7 1 0.0000 0.979 1.000 0.000
#> 53286128-668B-47EA-9A5F-D768FDCCBE88 1 0.0000 0.979 1.000 0.000
#> 01C9F351-97FE-4037-A879-9D96A3DD3FBB 2 0.0000 0.987 0.000 1.000
#> 5487DB21-6A58-46AC-A2A1-E343082D41D8 1 0.0000 0.979 1.000 0.000
#> 0FB3E997-4E31-4FA6-9654-11C3C0AF8D86 2 0.0000 0.987 0.000 1.000
#> A0706E80-FDF9-4721-BEB4-90527F6D38C4 2 0.0000 0.987 0.000 1.000
#> 5260226E-1826-4F54-8237-28993DD2EF04 2 0.0000 0.987 0.000 1.000
#> F53F71A7-A399-49AB-8657-019C5C56F48C 2 0.0000 0.987 0.000 1.000
#> 008159F2-5247-479A-8BFE-C394888D0B74 2 0.0000 0.987 0.000 1.000
#> 9E6BA6FB-35F2-4510-94AE-3E7CDFED3D47 2 0.0000 0.987 0.000 1.000
#> F12BE7AC-D2DD-4AD1-AB37-32DC85954F59 1 0.9460 0.446 0.636 0.364
#> 38A6BA1F-B444-4155-A168-EC2DF0EE0785 1 0.0000 0.979 1.000 0.000
#> B107D1DE-EE52-4E89-B75A-91124BFF99AE 2 0.0000 0.987 0.000 1.000
#> D4D16D09-8895-4BEA-ABF7-F11C5D5BDCAA 1 0.0000 0.979 1.000 0.000
#> 9A53C473-1364-4BB6-AD36-EF53E0208450 1 0.0000 0.979 1.000 0.000
#> F00C0ED6-C811-4F32-BDB4-4ACA7861DC7D 2 0.0000 0.987 0.000 1.000
#> 72618985-CD49-4B6F-8CB0-5EE590FAD09A 2 0.0000 0.987 0.000 1.000
#> 978A315F-CCE9-4D03-A680-C0AD60B10557 2 0.0000 0.987 0.000 1.000
#> B6EACAED-3944-4510-B685-0BB8D1651D4F 1 0.0000 0.979 1.000 0.000
#> EBCF16B4-A804-45EB-8253-0F28A2645729 1 0.0000 0.979 1.000 0.000
#> 637DC441-4A75-4DA8-8F65-91FDB5F103C7 1 0.0000 0.979 1.000 0.000
#> 89F67654-A246-4307-9B17-4A1C01DB1AED 2 0.0000 0.987 0.000 1.000
#> 3A8EB57B-71ED-4169-A8EB-624C67CDBBE1 2 0.0000 0.987 0.000 1.000
#> CC4DA9C6-CAB2-44FF-8219-D293ECD07DD4 1 0.0000 0.979 1.000 0.000
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#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.0000 0.987 0.000 1.000
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.0000 0.987 0.000 1.000
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.0000 0.987 0.000 1.000
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.0000 0.987 0.000 1.000
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.979 1.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.979 1.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.0000 0.979 1.000 0.000
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0000 0.979 1.000 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.0000 0.987 0.000 1.000
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.0000 0.987 0.000 1.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0000 0.979 1.000 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.0000 0.987 0.000 1.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.0000 0.979 1.000 0.000
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.0000 0.979 1.000 0.000
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 2 0.0000 0.987 0.000 1.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.0000 0.979 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.983 1.000 0.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.931 0.000 0.000 1.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.0000 0.983 1.000 0.000 0.000
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.0000 0.983 1.000 0.000 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.0000 0.983 1.000 0.000 0.000
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.0000 0.983 1.000 0.000 0.000
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 2 0.0000 0.958 0.000 1.000 0.000
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 2 0.0000 0.958 0.000 1.000 0.000
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.0000 0.983 1.000 0.000 0.000
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 1 0.4399 0.760 0.812 0.188 0.000
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.0000 0.983 1.000 0.000 0.000
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 3 0.0000 0.931 0.000 0.000 1.000
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.983 1.000 0.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 3 0.0000 0.931 0.000 0.000 1.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 2 0.3752 0.787 0.144 0.856 0.000
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.0000 0.958 0.000 1.000 0.000
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0000 0.983 1.000 0.000 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.983 1.000 0.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 1 0.0892 0.964 0.980 0.000 0.020
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0000 0.983 1.000 0.000 0.000
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 1 0.3551 0.833 0.868 0.132 0.000
#> 83453F80-8A68-4A3C-995D-85CFB1011249 3 0.0000 0.931 0.000 0.000 1.000
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 2 0.0000 0.958 0.000 1.000 0.000
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0000 0.983 1.000 0.000 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 2 0.0000 0.958 0.000 1.000 0.000
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 1 0.0000 0.983 1.000 0.000 0.000
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.0000 0.958 0.000 1.000 0.000
#> 375FE390-434B-41D3-9029-84065B1D7B6F 2 0.0000 0.958 0.000 1.000 0.000
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 0.983 1.000 0.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.0000 0.958 0.000 1.000 0.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.3941 0.804 0.000 0.844 0.156
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 3 0.0237 0.929 0.000 0.004 0.996
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.0000 0.958 0.000 1.000 0.000
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.0000 0.983 1.000 0.000 0.000
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 3 0.3482 0.823 0.000 0.128 0.872
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 2 0.0000 0.958 0.000 1.000 0.000
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 1 0.0000 0.983 1.000 0.000 0.000
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0000 0.931 0.000 0.000 1.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.0000 0.983 1.000 0.000 0.000
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.0000 0.931 0.000 0.000 1.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 2 0.0000 0.958 0.000 1.000 0.000
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.0000 0.931 0.000 0.000 1.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.0000 0.931 0.000 0.000 1.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 1 0.0000 0.983 1.000 0.000 0.000
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 1 0.5397 0.613 0.720 0.280 0.000
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.0000 0.983 1.000 0.000 0.000
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 2 0.0000 0.958 0.000 1.000 0.000
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 1 0.0000 0.983 1.000 0.000 0.000
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.0000 0.983 1.000 0.000 0.000
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 2 0.0000 0.958 0.000 1.000 0.000
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.0000 0.958 0.000 1.000 0.000
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 2 0.2959 0.845 0.100 0.900 0.000
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.0000 0.931 0.000 0.000 1.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.0000 0.983 1.000 0.000 0.000
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 2 0.0000 0.958 0.000 1.000 0.000
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 2 0.0000 0.958 0.000 1.000 0.000
#> 208165C0-229B-49E2-A22A-575CA3157C9E 2 0.0000 0.958 0.000 1.000 0.000
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 1 0.0000 0.983 1.000 0.000 0.000
#> 01397021-8495-4D89-885A-166B4DBA0122 3 0.0000 0.931 0.000 0.000 1.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 3 0.0000 0.931 0.000 0.000 1.000
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.0000 0.983 1.000 0.000 0.000
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 2 0.0000 0.958 0.000 1.000 0.000
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 2 0.3340 0.849 0.000 0.880 0.120
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 3 0.0000 0.931 0.000 0.000 1.000
#> AA569A06-0F37-4492-93F3-60A4539A3E82 2 0.0000 0.958 0.000 1.000 0.000
#> BC53FB75-94CA-48C3-875B-5987037D186F 2 0.2448 0.893 0.000 0.924 0.076
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 1 0.0000 0.983 1.000 0.000 0.000
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 3 0.6140 0.349 0.000 0.404 0.596
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 2 0.0000 0.958 0.000 1.000 0.000
#> DF67F589-A607-4B95-96B8-4BB344132312 3 0.6274 0.196 0.000 0.456 0.544
#> A65233E6-C146-4ACF-8DDE-5FB12D8D9637 3 0.0000 0.931 0.000 0.000 1.000
#> 7578C9A3-FFF8-45C4-AC28-1C6141A9A2AD 1 0.0000 0.983 1.000 0.000 0.000
#> 4DF775B9-E2FE-4F5E-8329-C37E21C5D10E 1 0.0000 0.983 1.000 0.000 0.000
#> 5E6B86C6-3D79-47BB-9FAF-CA22659CFEA7 1 0.0000 0.983 1.000 0.000 0.000
#> 53286128-668B-47EA-9A5F-D768FDCCBE88 1 0.0000 0.983 1.000 0.000 0.000
#> 01C9F351-97FE-4037-A879-9D96A3DD3FBB 3 0.0000 0.931 0.000 0.000 1.000
#> 5487DB21-6A58-46AC-A2A1-E343082D41D8 1 0.0000 0.983 1.000 0.000 0.000
#> 0FB3E997-4E31-4FA6-9654-11C3C0AF8D86 2 0.0000 0.958 0.000 1.000 0.000
#> A0706E80-FDF9-4721-BEB4-90527F6D38C4 2 0.6111 0.318 0.000 0.604 0.396
#> 5260226E-1826-4F54-8237-28993DD2EF04 3 0.0000 0.931 0.000 0.000 1.000
#> F53F71A7-A399-49AB-8657-019C5C56F48C 2 0.2356 0.897 0.000 0.928 0.072
#> 008159F2-5247-479A-8BFE-C394888D0B74 2 0.0000 0.958 0.000 1.000 0.000
#> 9E6BA6FB-35F2-4510-94AE-3E7CDFED3D47 3 0.0000 0.931 0.000 0.000 1.000
#> F12BE7AC-D2DD-4AD1-AB37-32DC85954F59 2 0.0000 0.958 0.000 1.000 0.000
#> 38A6BA1F-B444-4155-A168-EC2DF0EE0785 1 0.0000 0.983 1.000 0.000 0.000
#> B107D1DE-EE52-4E89-B75A-91124BFF99AE 3 0.0000 0.931 0.000 0.000 1.000
#> D4D16D09-8895-4BEA-ABF7-F11C5D5BDCAA 1 0.0000 0.983 1.000 0.000 0.000
#> 9A53C473-1364-4BB6-AD36-EF53E0208450 1 0.0000 0.983 1.000 0.000 0.000
#> F00C0ED6-C811-4F32-BDB4-4ACA7861DC7D 2 0.0000 0.958 0.000 1.000 0.000
#> 72618985-CD49-4B6F-8CB0-5EE590FAD09A 2 0.0000 0.958 0.000 1.000 0.000
#> 978A315F-CCE9-4D03-A680-C0AD60B10557 2 0.0000 0.958 0.000 1.000 0.000
#> B6EACAED-3944-4510-B685-0BB8D1651D4F 1 0.0000 0.983 1.000 0.000 0.000
#> EBCF16B4-A804-45EB-8253-0F28A2645729 1 0.0000 0.983 1.000 0.000 0.000
#> 637DC441-4A75-4DA8-8F65-91FDB5F103C7 1 0.4002 0.795 0.840 0.000 0.160
#> 89F67654-A246-4307-9B17-4A1C01DB1AED 2 0.0000 0.958 0.000 1.000 0.000
#> 3A8EB57B-71ED-4169-A8EB-624C67CDBBE1 2 0.2537 0.889 0.000 0.920 0.080
#> CC4DA9C6-CAB2-44FF-8219-D293ECD07DD4 1 0.0000 0.983 1.000 0.000 0.000
#> AEC4FDAA-8F60-43CE-8EBB-5629FA662F16 2 0.0000 0.958 0.000 1.000 0.000
#> BFC0D795-64F4-48B3-AD08-8C564E5E5367 1 0.0000 0.983 1.000 0.000 0.000
#> 907BBBA4-4E7B-4808-892E-F80525C3CFA3 2 0.0000 0.958 0.000 1.000 0.000
#> 7F21FA19-1468-4A65-A10A-A9727218A5EF 1 0.0000 0.983 1.000 0.000 0.000
#> 905A026A-0B13-4AD3-B2BB-9A5AE76920AF 2 0.0000 0.958 0.000 1.000 0.000
#> 6DDFC760-7BED-4A68-8DDA-9453D0FC9C1D 1 0.0000 0.983 1.000 0.000 0.000
#> B3AFF323-BAAD-4512-A837-20C430EA39D1 1 0.0000 0.983 1.000 0.000 0.000
#> 193E9034-42A2-4701-AA3E-2E852CA5C043 1 0.0000 0.983 1.000 0.000 0.000
#> 8B6127D5-D3BB-4E17-914C-3ED1E2A52078 2 0.0000 0.958 0.000 1.000 0.000
#> BD6E5E3C-DC43-4A85-84DF-84C68ABB851A 2 0.0000 0.958 0.000 1.000 0.000
#> 881EACBD-B314-4A9E-A6DE-58DF9466AFB3 2 0.0000 0.958 0.000 1.000 0.000
#> 195A6DF6-437D-4964-8872-C44F13E2CA4C 2 0.0000 0.958 0.000 1.000 0.000
#> C40FD0B3-4773-490D-A342-B1CE8CC0A5BD 1 0.0000 0.983 1.000 0.000 0.000
#> 613454BF-1A66-4DBB-90D0-246FC212DA4A 1 0.0000 0.983 1.000 0.000 0.000
#> 5F121320-0F61-4BC0-BB69-F5C9A93BC118 1 0.0000 0.983 1.000 0.000 0.000
#> E5637874-962B-4C43-8339-A6625D754DA8 2 0.0000 0.958 0.000 1.000 0.000
#> 7614BF19-E3A2-492A-ABC0-557B274CA326 1 0.0000 0.983 1.000 0.000 0.000
#> 6EB070B1-45C3-46DB-BFF9-6D9A137EC3A8 2 0.0000 0.958 0.000 1.000 0.000
#> 873EEA1A-8AA1-4C83-B001-7BD64343ADE1 1 0.0000 0.983 1.000 0.000 0.000
#> 2DCF0812-AC29-4BC2-8929-4D3D7B0F6335 2 0.0000 0.958 0.000 1.000 0.000
#> 9391B623-4EC1-43A2-85EC-7B80BE87827D 1 0.0000 0.983 1.000 0.000 0.000
#> 32A000F1-BAEA-41D2-AC75-02255A5BF2F2 2 0.0000 0.958 0.000 1.000 0.000
#> 9C1016CE-3EAB-4FA7-806B-C8F6B08B4EA1 1 0.4555 0.743 0.800 0.200 0.000
#> C7C4E75E-887F-4D11-9FDC-32292895A6B3 2 0.0000 0.958 0.000 1.000 0.000
#> 54739A62-512F-499F-AFE1-B7C631B35272 1 0.0000 0.983 1.000 0.000 0.000
#> 4476DF0E-6BB4-4682-BF59-E61071D4184E 1 0.0000 0.983 1.000 0.000 0.000
#> DCCC6566-8A72-411D-B8F0-CC92B6D973AF 2 0.0000 0.958 0.000 1.000 0.000
#> 781AEC2C-2604-4DAA-A55C-D07A305AF32E 3 0.4555 0.742 0.200 0.000 0.800
#> CB6BBA89-F467-4E0E-9DD1-04631E23D18C 1 0.0000 0.983 1.000 0.000 0.000
#> 42E0E49F-0F6A-4787-87E8-E5CEA94822F9 3 0.3941 0.793 0.000 0.156 0.844
#> B6466D8A-6CD3-4C90-B1FC-72EBDD93AE47 2 0.3412 0.814 0.124 0.876 0.000
#> EEBC342F-80C7-428B-A69C-35962A8A0251 3 0.1031 0.916 0.000 0.024 0.976
#> 38CB2DA4-D03B-4AAD-820E-B3475C52A945 2 0.0000 0.958 0.000 1.000 0.000
#> E924E4B6-F88B-4F6B-B381-24D125C05D4F 3 0.0000 0.931 0.000 0.000 1.000
#> C207F0D6-55B8-4353-8A7D-F1BA623BED96 1 0.0000 0.983 1.000 0.000 0.000
#> 980CBBAE-2C02-4150-8BDB-B67713B6425C 3 0.0000 0.931 0.000 0.000 1.000
#> 2E2A42A8-50A7-4409-8504-949A2B8A46A6 1 0.0000 0.983 1.000 0.000 0.000
#> 65B6391B-3178-4AB3-9AA8-2FFAC5491988 2 0.0237 0.955 0.000 0.996 0.004
#> 78EEB2C7-4B64-4CB0-9C94-E2AC46A75237 1 0.5397 0.613 0.720 0.280 0.000
#> 4F05A349-3B06-425C-A8CC-63C1B23A3D65 1 0.0000 0.983 1.000 0.000 0.000
#> 1CE1B4DB-1F7B-4F30-BAA1-E0252199F05B 3 0.0000 0.931 0.000 0.000 1.000
#> 05FAAE20-A94E-41FA-B6B6-7DDCFB4F9657 1 0.0000 0.983 1.000 0.000 0.000
#> 8C635DC8-6BED-46F6-893F-2AFB6CB3481A 1 0.0000 0.983 1.000 0.000 0.000
#> 48410523-5F22-4531-97FA-7C796AD58989 1 0.0000 0.983 1.000 0.000 0.000
#> B68D29BD-EDC7-4375-99F7-C5DAF72F3BA6 1 0.0000 0.983 1.000 0.000 0.000
#> 417DC694-EA89-4AE0-94AC-88CA7E4BAA0B 1 0.0000 0.983 1.000 0.000 0.000
#> 64CC8829-8B70-4B43-A364-4905139379E4 1 0.4555 0.755 0.800 0.000 0.200
#> 9E7B3CD8-5195-4757-AC99-F96FDD02B6EC 1 0.0000 0.983 1.000 0.000 0.000
#> 91E396AE-9215-405D-95DA-4F20D02CEB92 3 0.4178 0.777 0.172 0.000 0.828
#> 94CD6202-9C20-48FF-952F-C085A9829FF1 1 0.0000 0.983 1.000 0.000 0.000
#> E13AD861-BBD9-4189-8BB6-4B798BDFAA64 1 0.0000 0.983 1.000 0.000 0.000
#> 6591AC48-9A57-4F9A-B25E-69E9257F4801 1 0.0000 0.983 1.000 0.000 0.000
#> 1F0575EF-CFFA-4282-A054-88FDABBEB0CE 2 0.0000 0.958 0.000 1.000 0.000
#> A2C99D8F-03AD-4E02-8FD2-50E8A8D64FA7 3 0.0000 0.931 0.000 0.000 1.000
#> DD2C6204-0402-42E6-9DCF-C596B254684D 2 0.0000 0.958 0.000 1.000 0.000
#> D54A1ABF-0E47-4D52-8CD6-25FF40735C48 1 0.0000 0.983 1.000 0.000 0.000
#> 6E7F1C5E-83BE-4260-A4EB-2E8FB7B5AEDF 2 0.0000 0.958 0.000 1.000 0.000
#> F931C145-86BF-4286-8017-A90943ABA1B6 2 0.0000 0.958 0.000 1.000 0.000
#> B3B59642-F73C-41CA-AB45-918E98DE20E1 1 0.0000 0.983 1.000 0.000 0.000
#> 4654D683-9F0B-4EE2-BF85-5E90CE0ABBCB 2 0.2878 0.873 0.000 0.904 0.096
#> 7AC86566-1E68-40F1-AA42-A6E67736D8DF 2 0.0000 0.958 0.000 1.000 0.000
#> DBC70DA9-6D10-4AA4-9D6B-967A934C879F 2 0.0000 0.958 0.000 1.000 0.000
#> F50854E2-2F5D-4474-BB7D-842679B3DA09 1 0.0000 0.983 1.000 0.000 0.000
#> C8388730-6449-4283-8B7C-8FB64740C777 3 0.0000 0.931 0.000 0.000 1.000
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#> A7154064-ADD6-4D31-9622-8051F9A94BD2 2 0.0000 0.958 0.000 1.000 0.000
#> D125BE69-EA3E-4E26-83B3-966C9B4E2E1D 1 0.0000 0.983 1.000 0.000 0.000
#> D4A7D4B9-2E9D-4ED5-886F-664A212C9BE1 3 0.0000 0.931 0.000 0.000 1.000
#> 1EFC6C80-2CBC-4F7F-9D95-D3259F22AED3 3 0.4452 0.753 0.192 0.000 0.808
#> 9A0F8AF1-6845-474B-9897-F884E44DF78B 1 0.0000 0.983 1.000 0.000 0.000
#> 5FFEF93E-3421-44BC-95BE-CA07D2343CD9 1 0.0000 0.983 1.000 0.000 0.000
#> 706CD6CB-20D1-4B61-91CE-96468AFAB948 1 0.0000 0.983 1.000 0.000 0.000
#> E75D87AF-DC22-4A00-8DAC-EDE1D242B3E5 2 0.0000 0.958 0.000 1.000 0.000
#> B6428D53-EA3B-41A1-9092-3B47BF9F6089 1 0.0000 0.983 1.000 0.000 0.000
#> 726D44D6-0732-44EA-B911-A5A1F0A758CF 1 0.0000 0.983 1.000 0.000 0.000
#> E9FDE3D9-2845-4737-8957-BF36D7B39464 1 0.0000 0.983 1.000 0.000 0.000
#> A70A345C-7683-4176-869B-8EDEFD966C1B 1 0.0000 0.983 1.000 0.000 0.000
#> AB1C8455-7C2F-4154-95EF-B23EB5FD405A 3 0.0000 0.931 0.000 0.000 1.000
#> 052F9CFB-8816-4A1D-B3C2-6A50168F7299 1 0.0000 0.983 1.000 0.000 0.000
#> A821C6AB-91E5-4A72-8F3F-5D628FA351F0 3 0.0000 0.931 0.000 0.000 1.000
#> 1D7F357E-0075-4AFA-BFCB-0297B90800F1 3 0.0000 0.931 0.000 0.000 1.000
#> 5984264D-BD86-4D2F-8718-7DCAE974F50B 1 0.4834 0.734 0.792 0.204 0.004
#> F24CC083-662D-457C-9BEC-3B68D63236AE 2 0.0000 0.958 0.000 1.000 0.000
#> 48350BD7-9F6E-4DB5-B34A-F47B0BA74EF6 3 0.5291 0.638 0.000 0.268 0.732
#> 94523D56-65BB-4860-9B7F-5859F5C82C05 3 0.0000 0.931 0.000 0.000 1.000
#> CED33410-C7DE-43CC-941A-7652B200E5BB 2 0.0000 0.958 0.000 1.000 0.000
#> 7E122E61-7895-4322-97BE-ABC29D7B7EA9 3 0.0000 0.931 0.000 0.000 1.000
#> 60506411-6B29-49B4-9183-F54EE8B02CC4 1 0.0000 0.983 1.000 0.000 0.000
#> ED52DF66-827A-4A8C-8E50-03C85FA04508 1 0.0000 0.983 1.000 0.000 0.000
#> AB3B48ED-CFF9-4D66-BF3A-E9267D57BA14 2 0.0000 0.958 0.000 1.000 0.000
#> 248A7931-1EB5-47E3-A966-E6AF62E21FC1 3 0.0000 0.931 0.000 0.000 1.000
#> CB846F43-7719-4B7E-946B-32E6384F3CC4 1 0.0000 0.983 1.000 0.000 0.000
#> 940E691A-04A2-410F-B1FB-A66A3BFE10E7 3 0.0000 0.931 0.000 0.000 1.000
#> C3842EA2-E3BC-48DE-9B59-92145AC2F716 3 0.0000 0.931 0.000 0.000 1.000
#> 497FB1B2-A998-44F3-8D69-6974314F941D 2 0.0000 0.958 0.000 1.000 0.000
#> 4BAA88D6-4A88-4D54-9B0E-83365CC85C39 1 0.3340 0.850 0.880 0.000 0.120
#> 7480A3B3-3BF8-4123-8E2E-8C2B52688EC6 3 0.6154 0.340 0.000 0.408 0.592
#> AE3211D1-65C0-46B1-A67F-741C21A7D1C4 2 0.0000 0.958 0.000 1.000 0.000
#> D7244456-CB99-4893-85FE-65082CC4F17C 2 0.0000 0.958 0.000 1.000 0.000
#> C4E0F193-49DC-4A49-84BB-337AAF277145 1 0.0000 0.983 1.000 0.000 0.000
#> E2DF7E97-6BE1-412C-B71D-151B87739653 2 0.0000 0.958 0.000 1.000 0.000
#> 022BCEE2-4794-4D5D-87E5-22CD25FDBA98 3 0.0424 0.926 0.000 0.008 0.992
#> 2AF33CEA-C327-4A31-84D8-C4F26E8A3ECF 2 0.5905 0.463 0.352 0.648 0.000
#> E877B9C0-11C5-4CC8-BAE1-AC210535F3DB 1 0.4452 0.754 0.808 0.192 0.000
#> 0E737E9F-1045-4B86-A290-ED927D5DE7BF 2 0.0000 0.958 0.000 1.000 0.000
#> D1B88E26-3B64-4E1A-8E50-22AD100BD9F9 2 0.0000 0.958 0.000 1.000 0.000
#> 3AEB8943-FE34-4014-B851-BBF83857A794 2 0.0000 0.958 0.000 1.000 0.000
#> BECD727E-E3C1-4C42-9047-D97B7444B20B 2 0.0000 0.958 0.000 1.000 0.000
#> AF866E63-9EA1-4669-B9C4-FC7E877334AE 3 0.0747 0.921 0.000 0.016 0.984
#> F9C8E54A-4CE4-4839-B0CA-58678461EEF1 3 0.5497 0.597 0.000 0.292 0.708
#> AE818BC4-05BF-4E85-A4AD-F3E43DD7D37A 2 0.0000 0.958 0.000 1.000 0.000
#> BA73A860-CADE-408D-8D27-14EADA2B53B0 1 0.4399 0.760 0.812 0.188 0.000
#> 688858C8-48CA-43E9-AE2C-B9D4F80B5EE9 2 0.0000 0.958 0.000 1.000 0.000
#> EB1D52B2-17B3-491E-B484-1235633D6925 2 0.0000 0.958 0.000 1.000 0.000
#> AE261B5D-3881-40B9-8EE7-26B950E0BE16 1 0.0000 0.983 1.000 0.000 0.000
#> 8C9851D5-3091-4DE0-A59E-9122C0CA1CD2 2 0.0000 0.958 0.000 1.000 0.000
#> C8180F95-4E9C-45DB-B959-B47F64167C2D 2 0.0000 0.958 0.000 1.000 0.000
#> 552D3B42-8D22-4B64-B3A2-B3E5D51A8524 2 0.3816 0.808 0.000 0.852 0.148
#> FED9F364-BC3F-4134-BF4B-4D24B0EB8315 1 0.0000 0.983 1.000 0.000 0.000
#> 7B0D7792-C803-4DD0-B9BF-CB83DA2D199A 1 0.0000 0.983 1.000 0.000 0.000
#> B4F82CBB-A47C-44C3-81AC-CF775FF06FCD 1 0.0000 0.983 1.000 0.000 0.000
#> BFAB10CF-5B24-40F7-92E7-C2E60DD779EF 1 0.0000 0.983 1.000 0.000 0.000
#> E4E259E1-48B2-4C76-B113-E46270742F53 2 0.2356 0.897 0.000 0.928 0.072
#> 81FCBC31-367A-4B1C-A832-B133E4A43738 2 0.0000 0.958 0.000 1.000 0.000
#> 8690FA0F-9C1C-4D97-813A-3FB56827FBFC 2 0.1753 0.917 0.000 0.952 0.048
#> 9810CF0C-99D1-445B-B1F9-C956D2438495 3 0.0000 0.931 0.000 0.000 1.000
#> 2F5073E1-9EDD-46B5-95E3-8314E2A5B620 1 0.0000 0.983 1.000 0.000 0.000
#> B454F9FB-439A-43B5-877D-752D0F138AB5 3 0.3551 0.819 0.000 0.132 0.868
#> 287F2B71-92F8-4D14-8249-C1BFBB254BE7 1 0.0000 0.983 1.000 0.000 0.000
#> 52DC920F-0AD5-47CE-BD81-31843876B71E 1 0.0000 0.983 1.000 0.000 0.000
#> 6BAC4B1B-C3FC-4A09-9821-232E510E6A47 1 0.0000 0.983 1.000 0.000 0.000
#> A2B87EED-0D8E-4B20-85D3-FD9CC5E2E806 1 0.0000 0.983 1.000 0.000 0.000
#> 43E6DB93-2DA6-4F0F-BF81-0C3869134D2B 1 0.0000 0.983 1.000 0.000 0.000
#> 09A2ED74-A7C7-4DBB-8EDD-C80D0F0AEFDF 1 0.0000 0.983 1.000 0.000 0.000
#> 35EDCB52-D4B5-4305-8A74-95EFE6F2BFB1 1 0.0000 0.983 1.000 0.000 0.000
#> D5D18AF8-9CC2-496C-A83A-31BBA0195CFD 1 0.4291 0.771 0.820 0.180 0.000
#> 03767EDF-2F8A-41DE-8D80-F4BE861225A3 3 0.4452 0.753 0.192 0.000 0.808
#> 586BC656-AD9C-44EF-9ED4-87DEEB5C8AA6 1 0.0000 0.983 1.000 0.000 0.000
#> 23CA1146-CB1B-4054-A4FF-200B87444BF9 1 0.0000 0.983 1.000 0.000 0.000
#> 910E9B6D-E7D5-4C83-A19C-1EEA6E135639 1 0.4418 0.817 0.848 0.132 0.020
#> F36353A3-6CE6-4347-A78B-0AAD8FAB14AD 1 0.0000 0.983 1.000 0.000 0.000
#> 2045736E-7D0F-4B17-B74B-3B12AEE3E68C 1 0.0000 0.983 1.000 0.000 0.000
#> 5EFA2C2D-30B3-4D66-9601-354711F9FC56 3 0.0000 0.931 0.000 0.000 1.000
#> 3FBD381D-84C8-4680-980B-CC4B7924BE06 2 0.0000 0.958 0.000 1.000 0.000
#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 2 0.0000 0.958 0.000 1.000 0.000
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 1 0.0000 0.983 1.000 0.000 0.000
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 2 0.0000 0.958 0.000 1.000 0.000
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 3 0.1753 0.897 0.000 0.048 0.952
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 1 0.0000 0.983 1.000 0.000 0.000
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 2 0.4654 0.726 0.000 0.792 0.208
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 2 0.0000 0.958 0.000 1.000 0.000
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 1 0.0000 0.983 1.000 0.000 0.000
#> A3343F40-F977-4F9B-856A-28781F10F4CD 2 0.0000 0.958 0.000 1.000 0.000
#> DA144299-5541-47D7-A59E-C92896DF08FC 1 0.0000 0.983 1.000 0.000 0.000
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 3 0.6299 0.126 0.000 0.476 0.524
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.0000 0.983 1.000 0.000 0.000
#> 617447CF-9327-4062-B22C-71A8944C948F 2 0.0000 0.958 0.000 1.000 0.000
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0000 0.983 1.000 0.000 0.000
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 2 0.0000 0.958 0.000 1.000 0.000
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.0000 0.983 1.000 0.000 0.000
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.1289 0.933 0.000 0.968 0.032
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.0000 0.983 1.000 0.000 0.000
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 3 0.0000 0.931 0.000 0.000 1.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 2 0.0000 0.958 0.000 1.000 0.000
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 3 0.0000 0.931 0.000 0.000 1.000
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.0000 0.983 1.000 0.000 0.000
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 1 0.0000 0.983 1.000 0.000 0.000
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.0000 0.958 0.000 1.000 0.000
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 1 0.0000 0.983 1.000 0.000 0.000
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.0000 0.983 1.000 0.000 0.000
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 3 0.0000 0.931 0.000 0.000 1.000
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 3 0.0000 0.931 0.000 0.000 1.000
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 1 0.0000 0.983 1.000 0.000 0.000
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 3 0.6192 0.308 0.420 0.000 0.580
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.0000 0.983 1.000 0.000 0.000
#> DA1301D3-1F84-46C5-AB44-079493A81A51 1 0.0000 0.983 1.000 0.000 0.000
#> A12B1681-B598-40C3-80FE-1801F3F1189D 1 0.0000 0.983 1.000 0.000 0.000
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 2 0.0000 0.958 0.000 1.000 0.000
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 2 0.0000 0.958 0.000 1.000 0.000
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.2537 0.889 0.000 0.920 0.080
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.0000 0.958 0.000 1.000 0.000
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 1 0.0000 0.983 1.000 0.000 0.000
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.6008 0.388 0.000 0.628 0.372
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 3 0.3816 0.801 0.000 0.148 0.852
#> 1D0379B1-0E99-4E6D-B890-907C92860654 2 0.0000 0.958 0.000 1.000 0.000
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.0000 0.958 0.000 1.000 0.000
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 2 0.0000 0.958 0.000 1.000 0.000
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 2 0.0000 0.958 0.000 1.000 0.000
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0000 0.983 1.000 0.000 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.0000 0.958 0.000 1.000 0.000
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.0000 0.983 1.000 0.000 0.000
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.6079 0.344 0.000 0.612 0.388
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0000 0.983 1.000 0.000 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.0000 0.958 0.000 1.000 0.000
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 1 0.0000 0.983 1.000 0.000 0.000
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.0000 0.958 0.000 1.000 0.000
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.0000 0.983 1.000 0.000 0.000
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.0000 0.958 0.000 1.000 0.000
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.983 1.000 0.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.983 1.000 0.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.0000 0.958 0.000 1.000 0.000
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.0000 0.983 1.000 0.000 0.000
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.0000 0.958 0.000 1.000 0.000
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.931 0.000 0.000 1.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 3 0.0000 0.931 0.000 0.000 1.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.0000 0.931 0.000 0.000 1.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 1 0.4291 0.770 0.820 0.180 0.000
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.6280 0.111 0.000 0.540 0.460
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.0000 0.958 0.000 1.000 0.000
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.0237 0.955 0.000 0.996 0.004
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.0000 0.958 0.000 1.000 0.000
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.983 1.000 0.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.983 1.000 0.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.0000 0.983 1.000 0.000 0.000
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0000 0.983 1.000 0.000 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 3 0.0747 0.921 0.000 0.016 0.984
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.0000 0.958 0.000 1.000 0.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0000 0.983 1.000 0.000 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.2537 0.890 0.000 0.920 0.080
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.0000 0.983 1.000 0.000 0.000
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.0000 0.983 1.000 0.000 0.000
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.931 0.000 0.000 1.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.0000 0.983 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0336 0.98334 0.992 0.000 0.000 0.008
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.96145 0.000 0.000 1.000 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.0469 0.98280 0.988 0.000 0.000 0.012
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.0336 0.98334 0.992 0.000 0.000 0.008
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.0469 0.98280 0.988 0.000 0.000 0.012
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.0469 0.98280 0.988 0.000 0.000 0.012
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 4 0.0921 0.86564 0.000 0.028 0.000 0.972
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 4 0.1302 0.86517 0.000 0.044 0.000 0.956
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.0469 0.98280 0.988 0.000 0.000 0.012
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 4 0.1118 0.84318 0.036 0.000 0.000 0.964
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.0817 0.97234 0.976 0.000 0.000 0.024
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 3 0.0000 0.96145 0.000 0.000 1.000 0.000
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0336 0.98335 0.992 0.000 0.000 0.008
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 3 0.0000 0.96145 0.000 0.000 1.000 0.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 4 0.1059 0.86218 0.012 0.016 0.000 0.972
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#> D125BE69-EA3E-4E26-83B3-966C9B4E2E1D 1 0.0188 0.98373 0.996 0.000 0.000 0.004
#> D4A7D4B9-2E9D-4ED5-886F-664A212C9BE1 3 0.4406 0.54552 0.000 0.300 0.700 0.000
#> 1EFC6C80-2CBC-4F7F-9D95-D3259F22AED3 3 0.2888 0.80740 0.124 0.000 0.872 0.004
#> 9A0F8AF1-6845-474B-9897-F884E44DF78B 1 0.0188 0.98373 0.996 0.000 0.000 0.004
#> 5FFEF93E-3421-44BC-95BE-CA07D2343CD9 1 0.0188 0.98373 0.996 0.000 0.000 0.004
#> 706CD6CB-20D1-4B61-91CE-96468AFAB948 1 0.0469 0.98280 0.988 0.000 0.000 0.012
#> E75D87AF-DC22-4A00-8DAC-EDE1D242B3E5 2 0.4624 0.43376 0.000 0.660 0.000 0.340
#> B6428D53-EA3B-41A1-9092-3B47BF9F6089 1 0.0817 0.97234 0.976 0.000 0.000 0.024
#> 726D44D6-0732-44EA-B911-A5A1F0A758CF 1 0.0592 0.98181 0.984 0.000 0.000 0.016
#> E9FDE3D9-2845-4737-8957-BF36D7B39464 1 0.0188 0.98373 0.996 0.000 0.000 0.004
#> A70A345C-7683-4176-869B-8EDEFD966C1B 1 0.0000 0.98384 1.000 0.000 0.000 0.000
#> AB1C8455-7C2F-4154-95EF-B23EB5FD405A 3 0.1716 0.90216 0.000 0.000 0.936 0.064
#> 052F9CFB-8816-4A1D-B3C2-6A50168F7299 1 0.0188 0.98373 0.996 0.000 0.000 0.004
#> A821C6AB-91E5-4A72-8F3F-5D628FA351F0 3 0.0000 0.96145 0.000 0.000 1.000 0.000
#> 1D7F357E-0075-4AFA-BFCB-0297B90800F1 3 0.0707 0.94526 0.000 0.020 0.980 0.000
#> 5984264D-BD86-4D2F-8718-7DCAE974F50B 4 0.1191 0.85145 0.024 0.004 0.004 0.968
#> F24CC083-662D-457C-9BEC-3B68D63236AE 2 0.2216 0.82769 0.000 0.908 0.000 0.092
#> 48350BD7-9F6E-4DB5-B34A-F47B0BA74EF6 2 0.4972 0.20949 0.000 0.544 0.456 0.000
#> 94523D56-65BB-4860-9B7F-5859F5C82C05 3 0.0000 0.96145 0.000 0.000 1.000 0.000
#> CED33410-C7DE-43CC-941A-7652B200E5BB 2 0.0000 0.87869 0.000 1.000 0.000 0.000
#> 7E122E61-7895-4322-97BE-ABC29D7B7EA9 3 0.0000 0.96145 0.000 0.000 1.000 0.000
#> 60506411-6B29-49B4-9183-F54EE8B02CC4 1 0.0469 0.98280 0.988 0.000 0.000 0.012
#> ED52DF66-827A-4A8C-8E50-03C85FA04508 1 0.2589 0.87780 0.884 0.000 0.000 0.116
#> AB3B48ED-CFF9-4D66-BF3A-E9267D57BA14 2 0.4972 0.04425 0.000 0.544 0.000 0.456
#> 248A7931-1EB5-47E3-A966-E6AF62E21FC1 3 0.0000 0.96145 0.000 0.000 1.000 0.000
#> CB846F43-7719-4B7E-946B-32E6384F3CC4 1 0.0469 0.98280 0.988 0.000 0.000 0.012
#> 940E691A-04A2-410F-B1FB-A66A3BFE10E7 3 0.0000 0.96145 0.000 0.000 1.000 0.000
#> C3842EA2-E3BC-48DE-9B59-92145AC2F716 3 0.0000 0.96145 0.000 0.000 1.000 0.000
#> 497FB1B2-A998-44F3-8D69-6974314F941D 4 0.4730 0.45150 0.000 0.364 0.000 0.636
#> 4BAA88D6-4A88-4D54-9B0E-83365CC85C39 1 0.2101 0.92775 0.928 0.000 0.060 0.012
#> 7480A3B3-3BF8-4123-8E2E-8C2B52688EC6 2 0.2345 0.81865 0.000 0.900 0.100 0.000
#> AE3211D1-65C0-46B1-A67F-741C21A7D1C4 2 0.0000 0.87869 0.000 1.000 0.000 0.000
#> D7244456-CB99-4893-85FE-65082CC4F17C 2 0.0000 0.87869 0.000 1.000 0.000 0.000
#> C4E0F193-49DC-4A49-84BB-337AAF277145 1 0.0469 0.98280 0.988 0.000 0.000 0.012
#> E2DF7E97-6BE1-412C-B71D-151B87739653 2 0.3528 0.71967 0.000 0.808 0.000 0.192
#> 022BCEE2-4794-4D5D-87E5-22CD25FDBA98 2 0.3356 0.74596 0.000 0.824 0.176 0.000
#> 2AF33CEA-C327-4A31-84D8-C4F26E8A3ECF 4 0.0524 0.85809 0.008 0.004 0.000 0.988
#> E877B9C0-11C5-4CC8-BAE1-AC210535F3DB 4 0.0592 0.85449 0.016 0.000 0.000 0.984
#> 0E737E9F-1045-4B86-A290-ED927D5DE7BF 2 0.0000 0.87869 0.000 1.000 0.000 0.000
#> D1B88E26-3B64-4E1A-8E50-22AD100BD9F9 4 0.1211 0.86630 0.000 0.040 0.000 0.960
#> 3AEB8943-FE34-4014-B851-BBF83857A794 4 0.3219 0.80437 0.000 0.164 0.000 0.836
#> BECD727E-E3C1-4C42-9047-D97B7444B20B 4 0.1211 0.86630 0.000 0.040 0.000 0.960
#> AF866E63-9EA1-4669-B9C4-FC7E877334AE 2 0.1940 0.84042 0.000 0.924 0.076 0.000
#> F9C8E54A-4CE4-4839-B0CA-58678461EEF1 2 0.3444 0.73964 0.000 0.816 0.184 0.000
#> AE818BC4-05BF-4E85-A4AD-F3E43DD7D37A 2 0.0000 0.87869 0.000 1.000 0.000 0.000
#> BA73A860-CADE-408D-8D27-14EADA2B53B0 4 0.0817 0.85076 0.024 0.000 0.000 0.976
#> 688858C8-48CA-43E9-AE2C-B9D4F80B5EE9 2 0.0000 0.87869 0.000 1.000 0.000 0.000
#> EB1D52B2-17B3-491E-B484-1235633D6925 2 0.2921 0.78252 0.000 0.860 0.000 0.140
#> AE261B5D-3881-40B9-8EE7-26B950E0BE16 1 0.0469 0.98280 0.988 0.000 0.000 0.012
#> 8C9851D5-3091-4DE0-A59E-9122C0CA1CD2 2 0.0188 0.87757 0.000 0.996 0.000 0.004
#> C8180F95-4E9C-45DB-B959-B47F64167C2D 4 0.0707 0.86348 0.000 0.020 0.000 0.980
#> 552D3B42-8D22-4B64-B3A2-B3E5D51A8524 2 0.0000 0.87869 0.000 1.000 0.000 0.000
#> FED9F364-BC3F-4134-BF4B-4D24B0EB8315 1 0.0469 0.98280 0.988 0.000 0.000 0.012
#> 7B0D7792-C803-4DD0-B9BF-CB83DA2D199A 1 0.0188 0.98373 0.996 0.000 0.000 0.004
#> B4F82CBB-A47C-44C3-81AC-CF775FF06FCD 1 0.0188 0.98373 0.996 0.000 0.000 0.004
#> BFAB10CF-5B24-40F7-92E7-C2E60DD779EF 1 0.0336 0.98376 0.992 0.000 0.000 0.008
#> E4E259E1-48B2-4C76-B113-E46270742F53 2 0.0000 0.87869 0.000 1.000 0.000 0.000
#> 81FCBC31-367A-4B1C-A832-B133E4A43738 4 0.1211 0.86582 0.000 0.040 0.000 0.960
#> 8690FA0F-9C1C-4D97-813A-3FB56827FBFC 2 0.5132 0.09839 0.000 0.548 0.004 0.448
#> 9810CF0C-99D1-445B-B1F9-C956D2438495 3 0.0000 0.96145 0.000 0.000 1.000 0.000
#> 2F5073E1-9EDD-46B5-95E3-8314E2A5B620 1 0.0817 0.97234 0.976 0.000 0.000 0.024
#> B454F9FB-439A-43B5-877D-752D0F138AB5 2 0.2216 0.82332 0.000 0.908 0.092 0.000
#> 287F2B71-92F8-4D14-8249-C1BFBB254BE7 1 0.0817 0.97234 0.976 0.000 0.000 0.024
#> 52DC920F-0AD5-47CE-BD81-31843876B71E 1 0.0188 0.98373 0.996 0.000 0.000 0.004
#> 6BAC4B1B-C3FC-4A09-9821-232E510E6A47 1 0.0817 0.97234 0.976 0.000 0.000 0.024
#> A2B87EED-0D8E-4B20-85D3-FD9CC5E2E806 1 0.0188 0.98373 0.996 0.000 0.000 0.004
#> 43E6DB93-2DA6-4F0F-BF81-0C3869134D2B 1 0.0188 0.98373 0.996 0.000 0.000 0.004
#> 09A2ED74-A7C7-4DBB-8EDD-C80D0F0AEFDF 1 0.0469 0.98280 0.988 0.000 0.000 0.012
#> 35EDCB52-D4B5-4305-8A74-95EFE6F2BFB1 1 0.0188 0.98373 0.996 0.000 0.000 0.004
#> D5D18AF8-9CC2-496C-A83A-31BBA0195CFD 1 0.6360 0.09800 0.516 0.064 0.000 0.420
#> 03767EDF-2F8A-41DE-8D80-F4BE861225A3 3 0.4059 0.69668 0.200 0.000 0.788 0.012
#> 586BC656-AD9C-44EF-9ED4-87DEEB5C8AA6 1 0.0188 0.98373 0.996 0.000 0.000 0.004
#> 23CA1146-CB1B-4054-A4FF-200B87444BF9 1 0.0188 0.98373 0.996 0.000 0.000 0.004
#> 910E9B6D-E7D5-4C83-A19C-1EEA6E135639 4 0.0817 0.85076 0.024 0.000 0.000 0.976
#> F36353A3-6CE6-4347-A78B-0AAD8FAB14AD 1 0.0188 0.98373 0.996 0.000 0.000 0.004
#> 2045736E-7D0F-4B17-B74B-3B12AEE3E68C 1 0.0188 0.98369 0.996 0.000 0.000 0.004
#> 5EFA2C2D-30B3-4D66-9601-354711F9FC56 3 0.0000 0.96145 0.000 0.000 1.000 0.000
#> 3FBD381D-84C8-4680-980B-CC4B7924BE06 2 0.0000 0.87869 0.000 1.000 0.000 0.000
#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 4 0.2973 0.81511 0.000 0.144 0.000 0.856
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 1 0.0469 0.98280 0.988 0.000 0.000 0.012
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 2 0.0000 0.87869 0.000 1.000 0.000 0.000
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 4 0.5375 0.70327 0.000 0.116 0.140 0.744
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 1 0.0469 0.98280 0.988 0.000 0.000 0.012
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 2 0.0592 0.87244 0.000 0.984 0.016 0.000
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 4 0.1211 0.86630 0.000 0.040 0.000 0.960
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 1 0.0817 0.97234 0.976 0.000 0.000 0.024
#> A3343F40-F977-4F9B-856A-28781F10F4CD 2 0.4477 0.48249 0.000 0.688 0.000 0.312
#> DA144299-5541-47D7-A59E-C92896DF08FC 1 0.0469 0.98280 0.988 0.000 0.000 0.012
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 2 0.0921 0.86579 0.000 0.972 0.028 0.000
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.0188 0.98373 0.996 0.000 0.000 0.004
#> 617447CF-9327-4062-B22C-71A8944C948F 4 0.4222 0.69695 0.000 0.272 0.000 0.728
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0188 0.98373 0.996 0.000 0.000 0.004
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 4 0.4761 0.52638 0.000 0.372 0.000 0.628
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.0469 0.98280 0.988 0.000 0.000 0.012
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.0000 0.87869 0.000 1.000 0.000 0.000
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.0469 0.98280 0.988 0.000 0.000 0.012
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 3 0.0000 0.96145 0.000 0.000 1.000 0.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 4 0.3400 0.77500 0.000 0.180 0.000 0.820
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 3 0.0000 0.96145 0.000 0.000 1.000 0.000
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.0469 0.98280 0.988 0.000 0.000 0.012
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 1 0.0817 0.97234 0.976 0.000 0.000 0.024
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.0000 0.87869 0.000 1.000 0.000 0.000
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 1 0.0188 0.98373 0.996 0.000 0.000 0.004
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.0188 0.98373 0.996 0.000 0.000 0.004
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 3 0.0000 0.96145 0.000 0.000 1.000 0.000
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 3 0.1302 0.92243 0.000 0.044 0.956 0.000
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 1 0.0469 0.98280 0.988 0.000 0.000 0.012
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 1 0.5409 -0.00646 0.496 0.000 0.492 0.012
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.0188 0.98373 0.996 0.000 0.000 0.004
#> DA1301D3-1F84-46C5-AB44-079493A81A51 1 0.0469 0.98280 0.988 0.000 0.000 0.012
#> A12B1681-B598-40C3-80FE-1801F3F1189D 1 0.0817 0.97234 0.976 0.000 0.000 0.024
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 4 0.4843 0.44487 0.000 0.396 0.000 0.604
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 4 0.0592 0.86262 0.000 0.016 0.000 0.984
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.0000 0.87869 0.000 1.000 0.000 0.000
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 4 0.4522 0.60619 0.000 0.320 0.000 0.680
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 1 0.0469 0.98280 0.988 0.000 0.000 0.012
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.2944 0.79786 0.000 0.868 0.128 0.004
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.3266 0.75335 0.000 0.832 0.168 0.000
#> 1D0379B1-0E99-4E6D-B890-907C92860654 4 0.1118 0.86591 0.000 0.036 0.000 0.964
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.0000 0.87869 0.000 1.000 0.000 0.000
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 4 0.4907 0.31934 0.000 0.420 0.000 0.580
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 4 0.2530 0.83325 0.000 0.112 0.000 0.888
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0188 0.98373 0.996 0.000 0.000 0.004
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.0000 0.87869 0.000 1.000 0.000 0.000
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.0469 0.98280 0.988 0.000 0.000 0.012
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.3052 0.79043 0.000 0.860 0.136 0.004
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0469 0.98280 0.988 0.000 0.000 0.012
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.0000 0.87869 0.000 1.000 0.000 0.000
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 1 0.0592 0.98181 0.984 0.000 0.000 0.016
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.0000 0.87869 0.000 1.000 0.000 0.000
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.0188 0.98373 0.996 0.000 0.000 0.004
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.5000 -0.12130 0.000 0.504 0.000 0.496
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0188 0.98373 0.996 0.000 0.000 0.004
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0188 0.98373 0.996 0.000 0.000 0.004
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.0000 0.87869 0.000 1.000 0.000 0.000
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.0188 0.98369 0.996 0.000 0.000 0.004
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.0000 0.87869 0.000 1.000 0.000 0.000
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.96145 0.000 0.000 1.000 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 3 0.0000 0.96145 0.000 0.000 1.000 0.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.0000 0.96145 0.000 0.000 1.000 0.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 4 0.0817 0.85076 0.024 0.000 0.000 0.976
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.4720 0.54025 0.000 0.672 0.324 0.004
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 4 0.3400 0.77500 0.000 0.180 0.000 0.820
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.1867 0.83788 0.000 0.928 0.000 0.072
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 4 0.4994 0.20194 0.000 0.480 0.000 0.520
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0188 0.98373 0.996 0.000 0.000 0.004
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0188 0.98373 0.996 0.000 0.000 0.004
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.0469 0.98280 0.988 0.000 0.000 0.012
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0336 0.98335 0.992 0.000 0.000 0.008
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.1474 0.85391 0.000 0.948 0.052 0.000
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.0000 0.87869 0.000 1.000 0.000 0.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0188 0.98373 0.996 0.000 0.000 0.004
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.0000 0.87869 0.000 1.000 0.000 0.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.0188 0.98373 0.996 0.000 0.000 0.004
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.0336 0.98335 0.992 0.000 0.000 0.008
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.96145 0.000 0.000 1.000 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.0469 0.98280 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
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.4307 -0.30465 0.504 0.000 0.000 0.000 0.496
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.97484 0.000 0.000 1.000 0.000 0.000
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#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0000 0.89628 1.000 0.000 0.000 0.000 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.0000 0.85912 0.000 1.000 0.000 0.000 0.000
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 5 0.1908 0.83214 0.092 0.000 0.000 0.000 0.908
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.3106 0.77073 0.000 0.840 0.140 0.000 0.020
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 5 0.3039 0.78788 0.192 0.000 0.000 0.000 0.808
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.0000 0.85912 0.000 1.000 0.000 0.000 0.000
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 5 0.2329 0.81917 0.124 0.000 0.000 0.000 0.876
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.0000 0.85912 0.000 1.000 0.000 0.000 0.000
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.0000 0.89628 1.000 0.000 0.000 0.000 0.000
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.4305 -0.12597 0.000 0.512 0.000 0.488 0.000
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.89628 1.000 0.000 0.000 0.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.89628 1.000 0.000 0.000 0.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.0000 0.85912 0.000 1.000 0.000 0.000 0.000
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.3966 0.31704 0.664 0.000 0.000 0.000 0.336
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.0000 0.85912 0.000 1.000 0.000 0.000 0.000
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.97484 0.000 0.000 1.000 0.000 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 3 0.0162 0.97233 0.000 0.004 0.996 0.000 0.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.0000 0.97484 0.000 0.000 1.000 0.000 0.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 4 0.4161 0.57903 0.280 0.000 0.000 0.704 0.016
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.4922 0.63146 0.000 0.684 0.256 0.004 0.056
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 4 0.2074 0.77965 0.000 0.104 0.000 0.896 0.000
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.3424 0.62723 0.000 0.760 0.000 0.240 0.000
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.4825 0.22306 0.000 0.568 0.000 0.408 0.024
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.89628 1.000 0.000 0.000 0.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.89628 1.000 0.000 0.000 0.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 5 0.2329 0.82356 0.124 0.000 0.000 0.000 0.876
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.3424 0.56871 0.760 0.000 0.000 0.000 0.240
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.0324 0.85868 0.000 0.992 0.004 0.004 0.000
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.0000 0.85912 0.000 1.000 0.000 0.000 0.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0000 0.89628 1.000 0.000 0.000 0.000 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.0162 0.85865 0.000 0.996 0.000 0.004 0.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.0000 0.89628 1.000 0.000 0.000 0.000 0.000
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 5 0.4114 0.59758 0.376 0.000 0.000 0.000 0.624
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.97484 0.000 0.000 1.000 0.000 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 5 0.3143 0.77712 0.204 0.000 0.000 0.000 0.796
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.3857 -0.07260 0.532 0.000 0.000 0.000 0.468 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.92639 0.000 0.000 1.000 0.000 0.000 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 5 0.0632 0.80189 0.024 0.000 0.000 0.000 0.976 0.000
#> 85252141-5469-4F68-8F3F-934F8B3277E5 5 0.3236 0.72893 0.180 0.000 0.000 0.000 0.796 0.024
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 5 0.0632 0.80189 0.024 0.000 0.000 0.000 0.976 0.000
#> 1B76089D-785F-4353-A898-4E632023D482 5 0.3371 0.60203 0.292 0.000 0.000 0.000 0.708 0.000
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 4 0.1498 0.65121 0.000 0.028 0.000 0.940 0.000 0.032
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 6 0.5709 0.28523 0.000 0.164 0.000 0.384 0.000 0.452
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 5 0.0713 0.80173 0.028 0.000 0.000 0.000 0.972 0.000
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 6 0.5654 -0.34856 0.084 0.000 0.000 0.400 0.024 0.492
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 5 0.6321 0.28759 0.148 0.000 0.000 0.036 0.432 0.384
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 3 0.1745 0.87267 0.000 0.068 0.920 0.000 0.000 0.012
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0713 0.87425 0.972 0.000 0.000 0.000 0.028 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 3 0.0000 0.92639 0.000 0.000 1.000 0.000 0.000 0.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 6 0.4627 0.02466 0.020 0.000 0.000 0.436 0.012 0.532
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 4 0.4184 0.27185 0.000 0.408 0.000 0.576 0.000 0.016
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 5 0.3817 0.37717 0.432 0.000 0.000 0.000 0.568 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.1010 0.87009 0.960 0.000 0.000 0.000 0.036 0.004
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 5 0.0777 0.80051 0.024 0.000 0.000 0.000 0.972 0.004
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.1075 0.85871 0.952 0.000 0.000 0.000 0.048 0.000
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 5 0.4548 0.38767 0.000 0.000 0.000 0.056 0.632 0.312
#> 83453F80-8A68-4A3C-995D-85CFB1011249 3 0.3494 0.66335 0.000 0.252 0.736 0.000 0.000 0.012
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 4 0.0865 0.66033 0.000 0.036 0.000 0.964 0.000 0.000
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.3737 0.21514 0.608 0.000 0.000 0.000 0.392 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 6 0.5223 0.54317 0.000 0.344 0.000 0.056 0.024 0.576
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 5 0.6113 0.33058 0.180 0.000 0.000 0.016 0.472 0.332
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.0291 0.78423 0.000 0.992 0.000 0.004 0.000 0.004
#> 375FE390-434B-41D3-9029-84065B1D7B6F 4 0.5669 0.35227 0.000 0.092 0.000 0.480 0.020 0.408
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0146 0.88606 0.996 0.000 0.000 0.000 0.004 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.0291 0.78473 0.000 0.992 0.000 0.004 0.000 0.004
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.0622 0.78664 0.000 0.980 0.012 0.000 0.000 0.008
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.4003 0.60252 0.000 0.760 0.124 0.000 0.000 0.116
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.3076 0.54898 0.000 0.760 0.000 0.000 0.000 0.240
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.1910 0.80460 0.892 0.000 0.000 0.000 0.108 0.000
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 3 0.5818 0.08484 0.000 0.424 0.452 0.100 0.000 0.024
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 6 0.4882 0.54354 0.000 0.352 0.000 0.072 0.000 0.576
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 5 0.0632 0.80189 0.024 0.000 0.000 0.000 0.976 0.000
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0000 0.92639 0.000 0.000 1.000 0.000 0.000 0.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 5 0.3810 0.38624 0.428 0.000 0.000 0.000 0.572 0.000
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.0000 0.92639 0.000 0.000 1.000 0.000 0.000 0.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 4 0.0865 0.66033 0.000 0.036 0.000 0.964 0.000 0.000
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.0000 0.92639 0.000 0.000 1.000 0.000 0.000 0.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.0000 0.92639 0.000 0.000 1.000 0.000 0.000 0.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 1 0.0146 0.88704 0.996 0.000 0.000 0.000 0.004 0.000
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 4 0.4830 0.44147 0.020 0.000 0.000 0.540 0.024 0.416
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 5 0.3706 0.48544 0.380 0.000 0.000 0.000 0.620 0.000
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 4 0.5182 0.33175 0.000 0.340 0.000 0.556 0.000 0.104
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 5 0.2653 0.75513 0.144 0.000 0.000 0.000 0.844 0.012
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.0865 0.87261 0.964 0.000 0.000 0.000 0.036 0.000
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 6 0.4084 0.26268 0.000 0.012 0.000 0.400 0.000 0.588
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.1367 0.77762 0.000 0.944 0.000 0.012 0.000 0.044
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 4 0.2260 0.61912 0.000 0.000 0.000 0.860 0.000 0.140
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.0000 0.92639 0.000 0.000 1.000 0.000 0.000 0.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.5356 0.42181 0.556 0.000 0.000 0.036 0.048 0.360
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 6 0.3955 0.40487 0.000 0.436 0.000 0.004 0.000 0.560
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 4 0.0865 0.66033 0.000 0.036 0.000 0.964 0.000 0.000
#> 208165C0-229B-49E2-A22A-575CA3157C9E 6 0.4209 0.24127 0.000 0.020 0.000 0.384 0.000 0.596
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 1 0.6112 0.20181 0.452 0.000 0.000 0.144 0.024 0.380
#> 01397021-8495-4D89-885A-166B4DBA0122 3 0.0000 0.92639 0.000 0.000 1.000 0.000 0.000 0.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 3 0.0000 0.92639 0.000 0.000 1.000 0.000 0.000 0.000
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.0000 0.88799 1.000 0.000 0.000 0.000 0.000 0.000
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 2 0.2685 0.72800 0.000 0.868 0.000 0.072 0.000 0.060
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 2 0.5589 -0.00773 0.000 0.484 0.024 0.416 0.000 0.076
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 3 0.2070 0.85293 0.000 0.092 0.896 0.000 0.000 0.012
#> AA569A06-0F37-4492-93F3-60A4539A3E82 6 0.4712 0.51629 0.000 0.384 0.000 0.052 0.000 0.564
#> BC53FB75-94CA-48C3-875B-5987037D186F 2 0.1327 0.76127 0.000 0.936 0.000 0.000 0.000 0.064
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 1 0.0806 0.87842 0.972 0.000 0.000 0.000 0.020 0.008
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 2 0.2814 0.65348 0.000 0.820 0.008 0.000 0.000 0.172
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 6 0.4584 0.47650 0.000 0.404 0.000 0.040 0.000 0.556
#> DF67F589-A607-4B95-96B8-4BB344132312 2 0.3796 0.61193 0.000 0.764 0.176 0.000 0.000 0.060
#> A65233E6-C146-4ACF-8DDE-5FB12D8D9637 3 0.0000 0.92639 0.000 0.000 1.000 0.000 0.000 0.000
#> 7578C9A3-FFF8-45C4-AC28-1C6141A9A2AD 5 0.3789 0.41194 0.416 0.000 0.000 0.000 0.584 0.000
#> 4DF775B9-E2FE-4F5E-8329-C37E21C5D10E 1 0.5786 0.47865 0.608 0.000 0.000 0.036 0.176 0.180
#> 5E6B86C6-3D79-47BB-9FAF-CA22659CFEA7 6 0.6738 -0.23988 0.272 0.000 0.000 0.036 0.328 0.364
#> 53286128-668B-47EA-9A5F-D768FDCCBE88 1 0.0363 0.88478 0.988 0.000 0.000 0.000 0.012 0.000
#> 01C9F351-97FE-4037-A879-9D96A3DD3FBB 3 0.2653 0.80335 0.000 0.144 0.844 0.000 0.000 0.012
#> 5487DB21-6A58-46AC-A2A1-E343082D41D8 5 0.0865 0.80095 0.036 0.000 0.000 0.000 0.964 0.000
#> 0FB3E997-4E31-4FA6-9654-11C3C0AF8D86 2 0.0405 0.78475 0.000 0.988 0.000 0.004 0.000 0.008
#> A0706E80-FDF9-4721-BEB4-90527F6D38C4 2 0.0622 0.78127 0.000 0.980 0.000 0.008 0.000 0.012
#> 5260226E-1826-4F54-8237-28993DD2EF04 3 0.0000 0.92639 0.000 0.000 1.000 0.000 0.000 0.000
#> F53F71A7-A399-49AB-8657-019C5C56F48C 6 0.4543 0.51375 0.000 0.384 0.000 0.040 0.000 0.576
#> 008159F2-5247-479A-8BFE-C394888D0B74 4 0.0865 0.66033 0.000 0.036 0.000 0.964 0.000 0.000
#> 9E6BA6FB-35F2-4510-94AE-3E7CDFED3D47 3 0.0000 0.92639 0.000 0.000 1.000 0.000 0.000 0.000
#> F12BE7AC-D2DD-4AD1-AB37-32DC85954F59 4 0.2969 0.52568 0.000 0.000 0.000 0.776 0.000 0.224
#> 38A6BA1F-B444-4155-A168-EC2DF0EE0785 1 0.5032 0.42040 0.560 0.000 0.000 0.036 0.024 0.380
#> B107D1DE-EE52-4E89-B75A-91124BFF99AE 3 0.0000 0.92639 0.000 0.000 1.000 0.000 0.000 0.000
#> D4D16D09-8895-4BEA-ABF7-F11C5D5BDCAA 5 0.0632 0.80189 0.024 0.000 0.000 0.000 0.976 0.000
#> 9A53C473-1364-4BB6-AD36-EF53E0208450 1 0.0363 0.88559 0.988 0.000 0.000 0.000 0.012 0.000
#> F00C0ED6-C811-4F32-BDB4-4ACA7861DC7D 2 0.1225 0.78053 0.000 0.952 0.000 0.012 0.000 0.036
#> 72618985-CD49-4B6F-8CB0-5EE590FAD09A 6 0.4658 0.51571 0.000 0.384 0.000 0.048 0.000 0.568
#> 978A315F-CCE9-4D03-A680-C0AD60B10557 2 0.1682 0.76917 0.000 0.928 0.000 0.020 0.000 0.052
#> B6EACAED-3944-4510-B685-0BB8D1651D4F 5 0.0632 0.80189 0.024 0.000 0.000 0.000 0.976 0.000
#> EBCF16B4-A804-45EB-8253-0F28A2645729 1 0.2260 0.76545 0.860 0.000 0.000 0.000 0.140 0.000
#> 637DC441-4A75-4DA8-8F65-91FDB5F103C7 5 0.6756 0.30647 0.176 0.000 0.012 0.036 0.420 0.356
#> 89F67654-A246-4307-9B17-4A1C01DB1AED 2 0.0935 0.77936 0.000 0.964 0.000 0.032 0.000 0.004
#> 3A8EB57B-71ED-4169-A8EB-624C67CDBBE1 2 0.0363 0.78494 0.000 0.988 0.000 0.000 0.000 0.012
#> CC4DA9C6-CAB2-44FF-8219-D293ECD07DD4 5 0.0632 0.80189 0.024 0.000 0.000 0.000 0.976 0.000
#> AEC4FDAA-8F60-43CE-8EBB-5629FA662F16 2 0.1866 0.75133 0.000 0.908 0.000 0.008 0.000 0.084
#> BFC0D795-64F4-48B3-AD08-8C564E5E5367 1 0.0146 0.88832 0.996 0.000 0.000 0.000 0.004 0.000
#> 907BBBA4-4E7B-4808-892E-F80525C3CFA3 6 0.4080 0.14822 0.000 0.008 0.000 0.456 0.000 0.536
#> 7F21FA19-1468-4A65-A10A-A9727218A5EF 1 0.0146 0.88832 0.996 0.000 0.000 0.000 0.004 0.000
#> 905A026A-0B13-4AD3-B2BB-9A5AE76920AF 4 0.1334 0.65817 0.000 0.032 0.000 0.948 0.000 0.020
#> 6DDFC760-7BED-4A68-8DDA-9453D0FC9C1D 1 0.3706 0.25052 0.620 0.000 0.000 0.000 0.380 0.000
#> B3AFF323-BAAD-4512-A837-20C430EA39D1 5 0.2378 0.75640 0.152 0.000 0.000 0.000 0.848 0.000
#> 193E9034-42A2-4701-AA3E-2E852CA5C043 1 0.0146 0.88832 0.996 0.000 0.000 0.000 0.004 0.000
#> 8B6127D5-D3BB-4E17-914C-3ED1E2A52078 4 0.4832 0.43219 0.000 0.244 0.000 0.648 0.000 0.108
#> BD6E5E3C-DC43-4A85-84DF-84C68ABB851A 4 0.0865 0.66033 0.000 0.036 0.000 0.964 0.000 0.000
#> 881EACBD-B314-4A9E-A6DE-58DF9466AFB3 4 0.1863 0.63359 0.000 0.000 0.000 0.896 0.000 0.104
#> 195A6DF6-437D-4964-8872-C44F13E2CA4C 2 0.4184 -0.24876 0.000 0.500 0.000 0.012 0.000 0.488
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#> 81FCBC31-367A-4B1C-A832-B133E4A43738 6 0.4056 0.18817 0.000 0.004 0.000 0.416 0.004 0.576
#> 8690FA0F-9C1C-4D97-813A-3FB56827FBFC 2 0.2790 0.70699 0.000 0.856 0.008 0.116 0.000 0.020
#> 9810CF0C-99D1-445B-B1F9-C956D2438495 3 0.0363 0.92007 0.000 0.000 0.988 0.000 0.000 0.012
#> 2F5073E1-9EDD-46B5-95E3-8314E2A5B620 5 0.6327 0.30445 0.152 0.000 0.000 0.036 0.448 0.364
#> B454F9FB-439A-43B5-877D-752D0F138AB5 2 0.1075 0.76862 0.000 0.952 0.048 0.000 0.000 0.000
#> 287F2B71-92F8-4D14-8249-C1BFBB254BE7 1 0.4994 0.44537 0.576 0.000 0.000 0.036 0.024 0.364
#> 52DC920F-0AD5-47CE-BD81-31843876B71E 1 0.0000 0.88799 1.000 0.000 0.000 0.000 0.000 0.000
#> 6BAC4B1B-C3FC-4A09-9821-232E510E6A47 5 0.6643 0.24614 0.224 0.000 0.000 0.036 0.380 0.360
#> A2B87EED-0D8E-4B20-85D3-FD9CC5E2E806 1 0.0291 0.88520 0.992 0.000 0.000 0.000 0.004 0.004
#> 43E6DB93-2DA6-4F0F-BF81-0C3869134D2B 1 0.0000 0.88799 1.000 0.000 0.000 0.000 0.000 0.000
#> 09A2ED74-A7C7-4DBB-8EDD-C80D0F0AEFDF 5 0.3266 0.62697 0.272 0.000 0.000 0.000 0.728 0.000
#> 35EDCB52-D4B5-4305-8A74-95EFE6F2BFB1 1 0.1910 0.79709 0.892 0.000 0.000 0.000 0.108 0.000
#> D5D18AF8-9CC2-496C-A83A-31BBA0195CFD 6 0.4491 -0.00205 0.008 0.000 0.000 0.016 0.476 0.500
#> 03767EDF-2F8A-41DE-8D80-F4BE861225A3 5 0.1080 0.77748 0.004 0.000 0.032 0.000 0.960 0.004
#> 586BC656-AD9C-44EF-9ED4-87DEEB5C8AA6 1 0.0000 0.88799 1.000 0.000 0.000 0.000 0.000 0.000
#> 23CA1146-CB1B-4054-A4FF-200B87444BF9 1 0.0000 0.88799 1.000 0.000 0.000 0.000 0.000 0.000
#> 910E9B6D-E7D5-4C83-A19C-1EEA6E135639 4 0.5701 0.40035 0.088 0.000 0.000 0.480 0.024 0.408
#> F36353A3-6CE6-4347-A78B-0AAD8FAB14AD 1 0.0146 0.88832 0.996 0.000 0.000 0.000 0.004 0.000
#> 2045736E-7D0F-4B17-B74B-3B12AEE3E68C 1 0.1327 0.84754 0.936 0.000 0.000 0.000 0.064 0.000
#> 5EFA2C2D-30B3-4D66-9601-354711F9FC56 3 0.0000 0.92639 0.000 0.000 1.000 0.000 0.000 0.000
#> 3FBD381D-84C8-4680-980B-CC4B7924BE06 2 0.0146 0.78402 0.000 0.996 0.000 0.004 0.000 0.000
#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 6 0.3923 0.24006 0.000 0.004 0.000 0.416 0.000 0.580
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 5 0.0632 0.80189 0.024 0.000 0.000 0.000 0.976 0.000
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 2 0.1524 0.76865 0.000 0.932 0.000 0.008 0.000 0.060
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 4 0.3785 0.58255 0.000 0.196 0.028 0.764 0.000 0.012
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 5 0.0632 0.80189 0.024 0.000 0.000 0.000 0.976 0.000
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 2 0.3383 0.51004 0.000 0.728 0.004 0.000 0.000 0.268
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 4 0.1124 0.65870 0.000 0.036 0.000 0.956 0.000 0.008
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 5 0.6351 0.31223 0.156 0.000 0.000 0.036 0.444 0.364
#> A3343F40-F977-4F9B-856A-28781F10F4CD 4 0.5672 0.15964 0.000 0.184 0.000 0.512 0.000 0.304
#> DA144299-5541-47D7-A59E-C92896DF08FC 5 0.1765 0.78180 0.096 0.000 0.000 0.000 0.904 0.000
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 2 0.0547 0.78128 0.000 0.980 0.020 0.000 0.000 0.000
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.0000 0.88799 1.000 0.000 0.000 0.000 0.000 0.000
#> 617447CF-9327-4062-B22C-71A8944C948F 4 0.4461 0.49360 0.000 0.192 0.000 0.704 0.000 0.104
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0146 0.88832 0.996 0.000 0.000 0.000 0.004 0.000
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 4 0.4078 0.41469 0.000 0.340 0.000 0.640 0.000 0.020
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 5 0.3797 0.40437 0.420 0.000 0.000 0.000 0.580 0.000
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.0260 0.78375 0.000 0.992 0.000 0.008 0.000 0.000
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 5 0.3823 0.36728 0.436 0.000 0.000 0.000 0.564 0.000
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 3 0.0000 0.92639 0.000 0.000 1.000 0.000 0.000 0.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 4 0.2340 0.61605 0.000 0.148 0.000 0.852 0.000 0.000
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 3 0.0725 0.91312 0.000 0.012 0.976 0.000 0.000 0.012
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 5 0.2219 0.76343 0.136 0.000 0.000 0.000 0.864 0.000
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 5 0.6010 0.36387 0.108 0.000 0.000 0.036 0.492 0.364
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.0508 0.78467 0.000 0.984 0.000 0.004 0.000 0.012
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 1 0.1957 0.79348 0.888 0.000 0.000 0.000 0.112 0.000
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.0146 0.88606 0.996 0.000 0.000 0.000 0.004 0.000
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 3 0.0260 0.92185 0.000 0.008 0.992 0.000 0.000 0.000
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 3 0.3881 0.37712 0.000 0.396 0.600 0.000 0.000 0.004
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 5 0.0632 0.80189 0.024 0.000 0.000 0.000 0.976 0.000
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 5 0.1138 0.78489 0.012 0.000 0.024 0.000 0.960 0.004
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.0146 0.88724 0.996 0.000 0.000 0.000 0.000 0.004
#> DA1301D3-1F84-46C5-AB44-079493A81A51 5 0.0632 0.80189 0.024 0.000 0.000 0.000 0.976 0.000
#> A12B1681-B598-40C3-80FE-1801F3F1189D 6 0.6728 -0.24077 0.264 0.000 0.000 0.036 0.336 0.364
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 6 0.5170 0.55127 0.000 0.312 0.000 0.112 0.000 0.576
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 4 0.1910 0.63159 0.000 0.000 0.000 0.892 0.000 0.108
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.1267 0.77380 0.000 0.940 0.000 0.000 0.000 0.060
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.3782 0.63768 0.000 0.780 0.000 0.096 0.000 0.124
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 5 0.0632 0.80189 0.024 0.000 0.000 0.000 0.976 0.000
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.4291 0.39714 0.000 0.664 0.044 0.000 0.000 0.292
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.1663 0.74097 0.000 0.912 0.088 0.000 0.000 0.000
#> 1D0379B1-0E99-4E6D-B890-907C92860654 4 0.1812 0.63094 0.000 0.008 0.000 0.912 0.000 0.080
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.1327 0.77235 0.000 0.936 0.000 0.000 0.000 0.064
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 4 0.5560 -0.15819 0.000 0.420 0.000 0.444 0.000 0.136
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 4 0.2513 0.61482 0.000 0.140 0.000 0.852 0.000 0.008
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0000 0.88799 1.000 0.000 0.000 0.000 0.000 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.0146 0.78402 0.000 0.996 0.000 0.004 0.000 0.000
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 5 0.0632 0.80189 0.024 0.000 0.000 0.000 0.976 0.000
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.3867 0.58345 0.000 0.748 0.052 0.000 0.000 0.200
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 5 0.2178 0.76523 0.132 0.000 0.000 0.000 0.868 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.1082 0.77961 0.000 0.956 0.000 0.004 0.000 0.040
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 5 0.1745 0.78301 0.056 0.000 0.000 0.000 0.924 0.020
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.1700 0.75409 0.000 0.928 0.000 0.048 0.000 0.024
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.0000 0.88799 1.000 0.000 0.000 0.000 0.000 0.000
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.4011 0.43977 0.000 0.672 0.000 0.304 0.000 0.024
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0146 0.88832 0.996 0.000 0.000 0.000 0.004 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0146 0.88832 0.996 0.000 0.000 0.000 0.004 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.0725 0.78456 0.000 0.976 0.000 0.012 0.000 0.012
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.4871 0.22902 0.580 0.000 0.000 0.000 0.348 0.072
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.0146 0.78402 0.000 0.996 0.000 0.004 0.000 0.000
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.92639 0.000 0.000 1.000 0.000 0.000 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 3 0.2841 0.78255 0.000 0.164 0.824 0.000 0.000 0.012
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.0000 0.92639 0.000 0.000 1.000 0.000 0.000 0.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 4 0.5704 0.39735 0.088 0.000 0.000 0.476 0.024 0.412
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 6 0.5745 0.42106 0.000 0.348 0.120 0.016 0.000 0.516
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 4 0.2558 0.60922 0.000 0.156 0.000 0.840 0.000 0.004
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.4192 0.17467 0.000 0.572 0.000 0.412 0.000 0.016
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.5836 -0.22954 0.000 0.472 0.000 0.208 0.000 0.320
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0146 0.88832 0.996 0.000 0.000 0.000 0.004 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.88799 1.000 0.000 0.000 0.000 0.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 5 0.1387 0.79433 0.068 0.000 0.000 0.000 0.932 0.000
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.2003 0.79220 0.884 0.000 0.000 0.000 0.116 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.1320 0.77554 0.000 0.948 0.016 0.000 0.000 0.036
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.1007 0.77815 0.000 0.956 0.000 0.000 0.000 0.044
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0000 0.88799 1.000 0.000 0.000 0.000 0.000 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.0937 0.77877 0.000 0.960 0.000 0.000 0.000 0.040
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.0146 0.88832 0.996 0.000 0.000 0.000 0.004 0.000
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 5 0.3629 0.64574 0.276 0.000 0.000 0.000 0.712 0.012
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.92639 0.000 0.000 1.000 0.000 0.000 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 5 0.2003 0.77902 0.116 0.000 0.000 0.000 0.884 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 17654 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'CV' method.
#> Subgroups are detected by 'pam' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 3.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.462 0.878 0.889 0.4406 0.511 0.511
#> 3 3 0.817 0.880 0.953 0.3402 0.875 0.761
#> 4 4 0.685 0.542 0.792 0.1902 0.882 0.720
#> 5 5 0.702 0.671 0.843 0.1017 0.821 0.499
#> 6 6 0.715 0.626 0.800 0.0458 0.923 0.692
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
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.7139 0.97264 0.804 0.196
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 2 0.7139 0.79350 0.196 0.804
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.7139 0.97264 0.804 0.196
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.7745 0.94341 0.772 0.228
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.7376 0.96355 0.792 0.208
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.7139 0.97264 0.804 0.196
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 2 0.9460 0.11591 0.364 0.636
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#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.7139 0.97264 0.804 0.196
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#> 022BCEE2-4794-4D5D-87E5-22CD25FDBA98 2 0.0000 0.90498 0.000 1.000
#> 2AF33CEA-C327-4A31-84D8-C4F26E8A3ECF 1 0.9393 0.76329 0.644 0.356
#> E877B9C0-11C5-4CC8-BAE1-AC210535F3DB 2 0.9732 -0.04157 0.404 0.596
#> 0E737E9F-1045-4B86-A290-ED927D5DE7BF 2 0.0000 0.90498 0.000 1.000
#> D1B88E26-3B64-4E1A-8E50-22AD100BD9F9 2 0.0000 0.90498 0.000 1.000
#> 3AEB8943-FE34-4014-B851-BBF83857A794 2 0.0000 0.90498 0.000 1.000
#> BECD727E-E3C1-4C42-9047-D97B7444B20B 2 0.0000 0.90498 0.000 1.000
#> AF866E63-9EA1-4669-B9C4-FC7E877334AE 2 0.0000 0.90498 0.000 1.000
#> F9C8E54A-4CE4-4839-B0CA-58678461EEF1 2 0.6623 0.80740 0.172 0.828
#> AE818BC4-05BF-4E85-A4AD-F3E43DD7D37A 2 0.0000 0.90498 0.000 1.000
#> BA73A860-CADE-408D-8D27-14EADA2B53B0 1 0.8207 0.91119 0.744 0.256
#> 688858C8-48CA-43E9-AE2C-B9D4F80B5EE9 2 0.0000 0.90498 0.000 1.000
#> EB1D52B2-17B3-491E-B484-1235633D6925 2 0.0000 0.90498 0.000 1.000
#> AE261B5D-3881-40B9-8EE7-26B950E0BE16 1 0.7139 0.97264 0.804 0.196
#> 8C9851D5-3091-4DE0-A59E-9122C0CA1CD2 2 0.0000 0.90498 0.000 1.000
#> C8180F95-4E9C-45DB-B959-B47F64167C2D 2 0.2423 0.86903 0.040 0.960
#> 552D3B42-8D22-4B64-B3A2-B3E5D51A8524 2 0.0000 0.90498 0.000 1.000
#> FED9F364-BC3F-4134-BF4B-4D24B0EB8315 1 0.7453 0.95982 0.788 0.212
#> 7B0D7792-C803-4DD0-B9BF-CB83DA2D199A 1 0.7139 0.97264 0.804 0.196
#> B4F82CBB-A47C-44C3-81AC-CF775FF06FCD 1 0.7139 0.97264 0.804 0.196
#> BFAB10CF-5B24-40F7-92E7-C2E60DD779EF 1 0.7219 0.96990 0.800 0.200
#> E4E259E1-48B2-4C76-B113-E46270742F53 2 0.0000 0.90498 0.000 1.000
#> 81FCBC31-367A-4B1C-A832-B133E4A43738 2 0.1414 0.88831 0.020 0.980
#> 8690FA0F-9C1C-4D97-813A-3FB56827FBFC 2 0.0000 0.90498 0.000 1.000
#> 9810CF0C-99D1-445B-B1F9-C956D2438495 2 0.7139 0.79350 0.196 0.804
#> 2F5073E1-9EDD-46B5-95E3-8314E2A5B620 2 0.9087 0.31143 0.324 0.676
#> B454F9FB-439A-43B5-877D-752D0F138AB5 2 0.0000 0.90498 0.000 1.000
#> 287F2B71-92F8-4D14-8249-C1BFBB254BE7 1 0.7139 0.97264 0.804 0.196
#> 52DC920F-0AD5-47CE-BD81-31843876B71E 1 0.7139 0.97264 0.804 0.196
#> 6BAC4B1B-C3FC-4A09-9821-232E510E6A47 1 0.7139 0.97264 0.804 0.196
#> A2B87EED-0D8E-4B20-85D3-FD9CC5E2E806 1 0.7139 0.97264 0.804 0.196
#> 43E6DB93-2DA6-4F0F-BF81-0C3869134D2B 1 0.7139 0.97264 0.804 0.196
#> 09A2ED74-A7C7-4DBB-8EDD-C80D0F0AEFDF 1 0.7139 0.97264 0.804 0.196
#> 35EDCB52-D4B5-4305-8A74-95EFE6F2BFB1 1 0.7139 0.97264 0.804 0.196
#> D5D18AF8-9CC2-496C-A83A-31BBA0195CFD 1 0.8955 0.83452 0.688 0.312
#> 03767EDF-2F8A-41DE-8D80-F4BE861225A3 2 0.8386 0.47515 0.268 0.732
#> 586BC656-AD9C-44EF-9ED4-87DEEB5C8AA6 1 0.7139 0.97264 0.804 0.196
#> 23CA1146-CB1B-4054-A4FF-200B87444BF9 1 0.7139 0.97264 0.804 0.196
#> 910E9B6D-E7D5-4C83-A19C-1EEA6E135639 2 0.6048 0.72669 0.148 0.852
#> F36353A3-6CE6-4347-A78B-0AAD8FAB14AD 1 0.7139 0.97264 0.804 0.196
#> 2045736E-7D0F-4B17-B74B-3B12AEE3E68C 1 0.7139 0.97264 0.804 0.196
#> 5EFA2C2D-30B3-4D66-9601-354711F9FC56 2 0.7139 0.79350 0.196 0.804
#> 3FBD381D-84C8-4680-980B-CC4B7924BE06 2 0.0000 0.90498 0.000 1.000
#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 1 0.9996 0.46668 0.512 0.488
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 1 0.7139 0.97264 0.804 0.196
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 2 0.0000 0.90498 0.000 1.000
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 2 0.2948 0.87657 0.052 0.948
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 1 0.7602 0.95200 0.780 0.220
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 2 0.0000 0.90498 0.000 1.000
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 2 0.0000 0.90498 0.000 1.000
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 1 0.7219 0.96990 0.800 0.200
#> A3343F40-F977-4F9B-856A-28781F10F4CD 2 0.0000 0.90498 0.000 1.000
#> DA144299-5541-47D7-A59E-C92896DF08FC 1 0.7453 0.95982 0.788 0.212
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 2 0.0000 0.90498 0.000 1.000
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.7139 0.97264 0.804 0.196
#> 617447CF-9327-4062-B22C-71A8944C948F 2 0.0000 0.90498 0.000 1.000
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.7139 0.97264 0.804 0.196
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 2 0.0000 0.90498 0.000 1.000
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.7139 0.97264 0.804 0.196
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.0000 0.90498 0.000 1.000
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.7139 0.97264 0.804 0.196
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 2 0.7139 0.79350 0.196 0.804
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 2 0.0000 0.90498 0.000 1.000
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 2 0.7139 0.79350 0.196 0.804
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.7139 0.97264 0.804 0.196
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 2 0.7219 0.63656 0.200 0.800
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.0000 0.90498 0.000 1.000
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 1 0.7139 0.97264 0.804 0.196
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.7139 0.97264 0.804 0.196
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 2 0.7139 0.79350 0.196 0.804
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 2 0.7139 0.79350 0.196 0.804
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 1 0.7139 0.97264 0.804 0.196
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 2 0.8555 0.44402 0.280 0.720
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.7139 0.97264 0.804 0.196
#> DA1301D3-1F84-46C5-AB44-079493A81A51 1 0.7376 0.96355 0.792 0.208
#> A12B1681-B598-40C3-80FE-1801F3F1189D 1 0.7376 0.96355 0.792 0.208
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 2 0.0000 0.90498 0.000 1.000
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 2 0.8608 0.40417 0.284 0.716
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.0000 0.90498 0.000 1.000
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.0000 0.90498 0.000 1.000
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 1 0.7139 0.97264 0.804 0.196
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.0000 0.90498 0.000 1.000
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.0000 0.90498 0.000 1.000
#> 1D0379B1-0E99-4E6D-B890-907C92860654 2 0.2423 0.86810 0.040 0.960
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.0000 0.90498 0.000 1.000
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 2 0.0672 0.89859 0.008 0.992
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 2 0.0000 0.90498 0.000 1.000
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.7139 0.97264 0.804 0.196
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.0000 0.90498 0.000 1.000
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.7139 0.97264 0.804 0.196
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.0000 0.90498 0.000 1.000
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.7139 0.97264 0.804 0.196
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.0000 0.90498 0.000 1.000
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 1 0.9580 0.70311 0.620 0.380
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.0000 0.90498 0.000 1.000
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.7139 0.97264 0.804 0.196
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.0000 0.90498 0.000 1.000
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.7139 0.97264 0.804 0.196
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.7139 0.97264 0.804 0.196
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.0000 0.90498 0.000 1.000
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.8608 0.87196 0.716 0.284
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.0000 0.90498 0.000 1.000
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 2 0.7139 0.79350 0.196 0.804
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 2 0.7139 0.79350 0.196 0.804
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 2 0.7139 0.79350 0.196 0.804
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 1 0.9754 0.65802 0.592 0.408
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.0000 0.90498 0.000 1.000
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.0000 0.90498 0.000 1.000
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.0000 0.90498 0.000 1.000
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.0000 0.90498 0.000 1.000
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.7139 0.97264 0.804 0.196
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.7139 0.97264 0.804 0.196
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.7139 0.97264 0.804 0.196
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.7139 0.97264 0.804 0.196
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.0000 0.90498 0.000 1.000
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.0000 0.90498 0.000 1.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.7139 0.97264 0.804 0.196
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.0000 0.90498 0.000 1.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.7139 0.97264 0.804 0.196
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.7139 0.97264 0.804 0.196
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 2 0.7139 0.79350 0.196 0.804
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.7139 0.97264 0.804 0.196
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.93766 1.000 0.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.97844 0.000 0.000 1.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.0000 0.93766 1.000 0.000 0.000
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.4062 0.79144 0.836 0.164 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.3879 0.80394 0.848 0.152 0.000
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.0000 0.93766 1.000 0.000 0.000
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 2 0.6215 0.22324 0.428 0.572 0.000
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 2 0.0000 0.93628 0.000 1.000 0.000
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.0000 0.93766 1.000 0.000 0.000
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 2 0.5706 0.52475 0.320 0.680 0.000
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.4504 0.75637 0.804 0.196 0.000
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 2 0.2625 0.86627 0.000 0.916 0.084
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.93766 1.000 0.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 2 0.5465 0.57759 0.000 0.712 0.288
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 1 0.5291 0.66229 0.732 0.268 0.000
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.0000 0.93628 0.000 1.000 0.000
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0000 0.93766 1.000 0.000 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.93766 1.000 0.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 1 0.5058 0.69469 0.756 0.244 0.000
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0000 0.93766 1.000 0.000 0.000
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 1 0.5497 0.62343 0.708 0.292 0.000
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.0000 0.93628 0.000 1.000 0.000
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 2 0.0000 0.93628 0.000 1.000 0.000
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0000 0.93766 1.000 0.000 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 2 0.2261 0.87341 0.068 0.932 0.000
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 1 0.0424 0.93275 0.992 0.008 0.000
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.0000 0.93628 0.000 1.000 0.000
#> 375FE390-434B-41D3-9029-84065B1D7B6F 2 0.0592 0.92693 0.012 0.988 0.000
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 0.93766 1.000 0.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.0000 0.93628 0.000 1.000 0.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.0000 0.93628 0.000 1.000 0.000
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.0000 0.93628 0.000 1.000 0.000
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.0000 0.93628 0.000 1.000 0.000
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.0000 0.93766 1.000 0.000 0.000
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 2 0.0000 0.93628 0.000 1.000 0.000
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 2 0.0000 0.93628 0.000 1.000 0.000
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 1 0.0000 0.93766 1.000 0.000 0.000
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0000 0.97844 0.000 0.000 1.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.0000 0.93766 1.000 0.000 0.000
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.0000 0.97844 0.000 0.000 1.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 2 0.0000 0.93628 0.000 1.000 0.000
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.0000 0.97844 0.000 0.000 1.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.0000 0.97844 0.000 0.000 1.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 1 0.0000 0.93766 1.000 0.000 0.000
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 1 0.6168 0.34080 0.588 0.412 0.000
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.0000 0.93766 1.000 0.000 0.000
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 2 0.0000 0.93628 0.000 1.000 0.000
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 1 0.0000 0.93766 1.000 0.000 0.000
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.0000 0.93766 1.000 0.000 0.000
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 2 0.1529 0.90141 0.040 0.960 0.000
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.0000 0.93628 0.000 1.000 0.000
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 1 0.5810 0.50629 0.664 0.336 0.000
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.0000 0.97844 0.000 0.000 1.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.0000 0.93766 1.000 0.000 0.000
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 2 0.0000 0.93628 0.000 1.000 0.000
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 2 0.0000 0.93628 0.000 1.000 0.000
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#> A2B87EED-0D8E-4B20-85D3-FD9CC5E2E806 1 0.0000 0.93766 1.000 0.000 0.000
#> 43E6DB93-2DA6-4F0F-BF81-0C3869134D2B 1 0.0000 0.93766 1.000 0.000 0.000
#> 09A2ED74-A7C7-4DBB-8EDD-C80D0F0AEFDF 1 0.0000 0.93766 1.000 0.000 0.000
#> 35EDCB52-D4B5-4305-8A74-95EFE6F2BFB1 1 0.0000 0.93766 1.000 0.000 0.000
#> D5D18AF8-9CC2-496C-A83A-31BBA0195CFD 1 0.4346 0.76941 0.816 0.184 0.000
#> 03767EDF-2F8A-41DE-8D80-F4BE861225A3 1 0.6192 0.32386 0.580 0.420 0.000
#> 586BC656-AD9C-44EF-9ED4-87DEEB5C8AA6 1 0.0000 0.93766 1.000 0.000 0.000
#> 23CA1146-CB1B-4054-A4FF-200B87444BF9 1 0.0000 0.93766 1.000 0.000 0.000
#> 910E9B6D-E7D5-4C83-A19C-1EEA6E135639 2 0.4654 0.71010 0.208 0.792 0.000
#> F36353A3-6CE6-4347-A78B-0AAD8FAB14AD 1 0.0000 0.93766 1.000 0.000 0.000
#> 2045736E-7D0F-4B17-B74B-3B12AEE3E68C 1 0.0000 0.93766 1.000 0.000 0.000
#> 5EFA2C2D-30B3-4D66-9601-354711F9FC56 3 0.0000 0.97844 0.000 0.000 1.000
#> 3FBD381D-84C8-4680-980B-CC4B7924BE06 2 0.0000 0.93628 0.000 1.000 0.000
#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 2 0.6305 0.00600 0.484 0.516 0.000
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 1 0.0000 0.93766 1.000 0.000 0.000
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 2 0.0000 0.93628 0.000 1.000 0.000
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 2 0.3340 0.81890 0.000 0.880 0.120
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 1 0.4974 0.70535 0.764 0.236 0.000
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 2 0.0000 0.93628 0.000 1.000 0.000
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 2 0.0000 0.93628 0.000 1.000 0.000
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 1 0.0592 0.93008 0.988 0.012 0.000
#> A3343F40-F977-4F9B-856A-28781F10F4CD 2 0.0000 0.93628 0.000 1.000 0.000
#> DA144299-5541-47D7-A59E-C92896DF08FC 1 0.3941 0.79975 0.844 0.156 0.000
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 2 0.0000 0.93628 0.000 1.000 0.000
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.0000 0.93766 1.000 0.000 0.000
#> 617447CF-9327-4062-B22C-71A8944C948F 2 0.0000 0.93628 0.000 1.000 0.000
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0000 0.93766 1.000 0.000 0.000
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 2 0.0000 0.93628 0.000 1.000 0.000
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.0000 0.93766 1.000 0.000 0.000
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.0000 0.93628 0.000 1.000 0.000
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.0000 0.93766 1.000 0.000 0.000
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 3 0.0000 0.97844 0.000 0.000 1.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 2 0.0000 0.93628 0.000 1.000 0.000
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 3 0.0000 0.97844 0.000 0.000 1.000
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.1529 0.90796 0.960 0.040 0.000
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 2 0.6252 0.24055 0.444 0.556 0.000
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.0000 0.93628 0.000 1.000 0.000
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 1 0.0000 0.93766 1.000 0.000 0.000
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.0000 0.93766 1.000 0.000 0.000
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 3 0.6235 0.21305 0.000 0.436 0.564
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 2 0.4062 0.76277 0.000 0.836 0.164
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 1 0.0000 0.93766 1.000 0.000 0.000
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 2 0.5859 0.47230 0.344 0.656 0.000
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.0000 0.93766 1.000 0.000 0.000
#> DA1301D3-1F84-46C5-AB44-079493A81A51 1 0.3482 0.82815 0.872 0.128 0.000
#> A12B1681-B598-40C3-80FE-1801F3F1189D 1 0.2711 0.86612 0.912 0.088 0.000
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 2 0.0000 0.93628 0.000 1.000 0.000
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 2 0.6095 0.33699 0.392 0.608 0.000
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.0000 0.93628 0.000 1.000 0.000
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.0000 0.93628 0.000 1.000 0.000
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 1 0.0000 0.93766 1.000 0.000 0.000
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.0000 0.93628 0.000 1.000 0.000
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.0000 0.93628 0.000 1.000 0.000
#> 1D0379B1-0E99-4E6D-B890-907C92860654 2 0.0592 0.92702 0.012 0.988 0.000
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.0000 0.93628 0.000 1.000 0.000
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 2 0.0892 0.92012 0.020 0.980 0.000
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 2 0.0000 0.93628 0.000 1.000 0.000
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0000 0.93766 1.000 0.000 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.0000 0.93628 0.000 1.000 0.000
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.0000 0.93766 1.000 0.000 0.000
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.0000 0.93628 0.000 1.000 0.000
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0000 0.93766 1.000 0.000 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.0000 0.93628 0.000 1.000 0.000
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 1 0.0000 0.93766 1.000 0.000 0.000
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.0000 0.93628 0.000 1.000 0.000
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.0000 0.93766 1.000 0.000 0.000
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.0000 0.93628 0.000 1.000 0.000
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.93766 1.000 0.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.93766 1.000 0.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.0000 0.93628 0.000 1.000 0.000
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.4702 0.71416 0.788 0.212 0.000
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.0000 0.93628 0.000 1.000 0.000
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.97844 0.000 0.000 1.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 2 0.4178 0.75326 0.000 0.828 0.172
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.0000 0.97844 0.000 0.000 1.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 1 0.5733 0.55577 0.676 0.324 0.000
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.0000 0.93628 0.000 1.000 0.000
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.0000 0.93628 0.000 1.000 0.000
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.0000 0.93628 0.000 1.000 0.000
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.0000 0.93628 0.000 1.000 0.000
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.93766 1.000 0.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.93766 1.000 0.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.0000 0.93766 1.000 0.000 0.000
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0000 0.93766 1.000 0.000 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.0000 0.93628 0.000 1.000 0.000
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.0000 0.93628 0.000 1.000 0.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0000 0.93766 1.000 0.000 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.0000 0.93628 0.000 1.000 0.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.0000 0.93766 1.000 0.000 0.000
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.0237 0.93531 0.996 0.004 0.000
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.97844 0.000 0.000 1.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.0000 0.93766 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.3024 0.15756 0.852 0.000 0.000 0.148
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.97234 0.000 0.000 1.000 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.4999 -0.11793 0.508 0.000 0.000 0.492
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.4925 0.00371 0.572 0.000 0.000 0.428
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.4855 0.04911 0.600 0.000 0.000 0.400
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.0707 0.24000 0.980 0.000 0.000 0.020
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 2 0.7679 -0.03205 0.236 0.448 0.000 0.316
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 2 0.3157 0.83339 0.004 0.852 0.000 0.144
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.4877 0.03735 0.592 0.000 0.000 0.408
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 4 0.3123 0.37879 0.000 0.156 0.000 0.844
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 4 0.5378 0.16382 0.448 0.012 0.000 0.540
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 2 0.2011 0.87478 0.000 0.920 0.080 0.000
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.2647 0.25235 0.880 0.000 0.000 0.120
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 2 0.4356 0.57788 0.000 0.708 0.292 0.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 4 0.7030 0.17942 0.408 0.120 0.000 0.472
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.0000 0.92698 0.000 1.000 0.000 0.000
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.2921 0.25452 0.860 0.000 0.000 0.140
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.2647 0.19744 0.880 0.000 0.000 0.120
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 1 0.4999 -0.11793 0.508 0.000 0.000 0.492
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.4977 0.28764 0.540 0.000 0.000 0.460
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 4 0.6176 0.19121 0.424 0.052 0.000 0.524
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.0000 0.92698 0.000 1.000 0.000 0.000
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 2 0.1211 0.91486 0.000 0.960 0.000 0.040
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0707 0.24651 0.980 0.000 0.000 0.020
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 4 0.7497 0.28353 0.224 0.280 0.000 0.496
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 4 0.4999 0.12264 0.492 0.000 0.000 0.508
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.0000 0.92698 0.000 1.000 0.000 0.000
#> 375FE390-434B-41D3-9029-84065B1D7B6F 2 0.3649 0.74623 0.000 0.796 0.000 0.204
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.4992 0.27268 0.524 0.000 0.000 0.476
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.0000 0.92698 0.000 1.000 0.000 0.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.0000 0.92698 0.000 1.000 0.000 0.000
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.0000 0.92698 0.000 1.000 0.000 0.000
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.0000 0.92698 0.000 1.000 0.000 0.000
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.4992 0.27268 0.524 0.000 0.000 0.476
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 2 0.0000 0.92698 0.000 1.000 0.000 0.000
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 2 0.1022 0.91783 0.000 0.968 0.000 0.032
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 1 0.1389 0.24994 0.952 0.000 0.000 0.048
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0000 0.97234 0.000 0.000 1.000 0.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.0188 0.24296 0.996 0.000 0.000 0.004
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.0000 0.97234 0.000 0.000 1.000 0.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 2 0.1022 0.91783 0.000 0.968 0.000 0.032
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.0000 0.97234 0.000 0.000 1.000 0.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.0000 0.97234 0.000 0.000 1.000 0.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 1 0.4992 0.27268 0.524 0.000 0.000 0.476
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 4 0.2928 0.37091 0.012 0.108 0.000 0.880
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.4817 0.05656 0.612 0.000 0.000 0.388
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 2 0.0921 0.92002 0.000 0.972 0.000 0.028
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 4 0.4999 0.12264 0.492 0.000 0.000 0.508
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.2281 0.25377 0.904 0.000 0.000 0.096
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 2 0.6859 0.15887 0.108 0.512 0.000 0.380
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.1022 0.91783 0.000 0.968 0.000 0.032
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 4 0.7019 -0.00855 0.344 0.132 0.000 0.524
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.0000 0.97234 0.000 0.000 1.000 0.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 4 0.4624 0.21373 0.340 0.000 0.000 0.660
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 2 0.0000 0.92698 0.000 1.000 0.000 0.000
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 2 0.0469 0.92464 0.000 0.988 0.000 0.012
#> 208165C0-229B-49E2-A22A-575CA3157C9E 2 0.5349 0.45818 0.024 0.640 0.000 0.336
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 4 0.1940 0.32691 0.000 0.076 0.000 0.924
#> 01397021-8495-4D89-885A-166B4DBA0122 3 0.0000 0.97234 0.000 0.000 1.000 0.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 3 0.0000 0.97234 0.000 0.000 1.000 0.000
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.4977 0.28764 0.540 0.000 0.000 0.460
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 2 0.0817 0.92125 0.000 0.976 0.000 0.024
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 2 0.0000 0.92698 0.000 1.000 0.000 0.000
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 2 0.0000 0.92698 0.000 1.000 0.000 0.000
#> AA569A06-0F37-4492-93F3-60A4539A3E82 2 0.1022 0.91783 0.000 0.968 0.000 0.032
#> BC53FB75-94CA-48C3-875B-5987037D186F 2 0.0000 0.92698 0.000 1.000 0.000 0.000
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 4 0.3610 0.26320 0.200 0.000 0.000 0.800
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 2 0.0000 0.92698 0.000 1.000 0.000 0.000
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 2 0.0817 0.92094 0.000 0.976 0.000 0.024
#> DF67F589-A607-4B95-96B8-4BB344132312 2 0.0000 0.92698 0.000 1.000 0.000 0.000
#> A65233E6-C146-4ACF-8DDE-5FB12D8D9637 3 0.0000 0.97234 0.000 0.000 1.000 0.000
#> 7578C9A3-FFF8-45C4-AC28-1C6141A9A2AD 1 0.0000 0.24183 1.000 0.000 0.000 0.000
#> 4DF775B9-E2FE-4F5E-8329-C37E21C5D10E 4 0.3873 0.30461 0.000 0.228 0.000 0.772
#> 5E6B86C6-3D79-47BB-9FAF-CA22659CFEA7 4 0.2530 0.29047 0.112 0.000 0.000 0.888
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#> 8690FA0F-9C1C-4D97-813A-3FB56827FBFC 2 0.0000 0.92698 0.000 1.000 0.000 0.000
#> 9810CF0C-99D1-445B-B1F9-C956D2438495 3 0.0000 0.97234 0.000 0.000 1.000 0.000
#> 2F5073E1-9EDD-46B5-95E3-8314E2A5B620 4 0.5364 0.24649 0.320 0.028 0.000 0.652
#> B454F9FB-439A-43B5-877D-752D0F138AB5 2 0.0000 0.92698 0.000 1.000 0.000 0.000
#> 287F2B71-92F8-4D14-8249-C1BFBB254BE7 1 0.4999 0.24911 0.508 0.000 0.000 0.492
#> 52DC920F-0AD5-47CE-BD81-31843876B71E 1 0.4977 0.28764 0.540 0.000 0.000 0.460
#> 6BAC4B1B-C3FC-4A09-9821-232E510E6A47 4 0.4761 0.19120 0.372 0.000 0.000 0.628
#> A2B87EED-0D8E-4B20-85D3-FD9CC5E2E806 1 0.4992 0.27268 0.524 0.000 0.000 0.476
#> 43E6DB93-2DA6-4F0F-BF81-0C3869134D2B 1 0.4977 0.28764 0.540 0.000 0.000 0.460
#> 09A2ED74-A7C7-4DBB-8EDD-C80D0F0AEFDF 1 0.0000 0.24183 1.000 0.000 0.000 0.000
#> 35EDCB52-D4B5-4305-8A74-95EFE6F2BFB1 4 0.4916 -0.11749 0.424 0.000 0.000 0.576
#> D5D18AF8-9CC2-496C-A83A-31BBA0195CFD 1 0.6811 -0.12638 0.496 0.100 0.000 0.404
#> 03767EDF-2F8A-41DE-8D80-F4BE861225A3 4 0.7304 0.23306 0.400 0.152 0.000 0.448
#> 586BC656-AD9C-44EF-9ED4-87DEEB5C8AA6 1 0.4977 0.28764 0.540 0.000 0.000 0.460
#> 23CA1146-CB1B-4054-A4FF-200B87444BF9 1 0.4977 0.28764 0.540 0.000 0.000 0.460
#> 910E9B6D-E7D5-4C83-A19C-1EEA6E135639 4 0.4313 0.34319 0.004 0.260 0.000 0.736
#> F36353A3-6CE6-4347-A78B-0AAD8FAB14AD 1 0.4977 0.28764 0.540 0.000 0.000 0.460
#> 2045736E-7D0F-4B17-B74B-3B12AEE3E68C 1 0.0707 0.24654 0.980 0.000 0.000 0.020
#> 5EFA2C2D-30B3-4D66-9601-354711F9FC56 3 0.0000 0.97234 0.000 0.000 1.000 0.000
#> 3FBD381D-84C8-4680-980B-CC4B7924BE06 2 0.0000 0.92698 0.000 1.000 0.000 0.000
#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 4 0.7402 0.28819 0.220 0.264 0.000 0.516
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 1 0.4830 0.05595 0.608 0.000 0.000 0.392
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 2 0.0000 0.92698 0.000 1.000 0.000 0.000
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 2 0.1867 0.87520 0.000 0.928 0.072 0.000
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 1 0.4998 -0.11174 0.512 0.000 0.000 0.488
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 2 0.0000 0.92698 0.000 1.000 0.000 0.000
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 2 0.3123 0.80749 0.000 0.844 0.000 0.156
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 4 0.4941 0.15898 0.436 0.000 0.000 0.564
#> A3343F40-F977-4F9B-856A-28781F10F4CD 2 0.0188 0.92603 0.000 0.996 0.000 0.004
#> DA144299-5541-47D7-A59E-C92896DF08FC 1 0.4855 0.04911 0.600 0.000 0.000 0.400
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 2 0.0000 0.92698 0.000 1.000 0.000 0.000
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.4977 0.28764 0.540 0.000 0.000 0.460
#> 617447CF-9327-4062-B22C-71A8944C948F 2 0.0000 0.92698 0.000 1.000 0.000 0.000
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.4977 0.28764 0.540 0.000 0.000 0.460
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 2 0.0469 0.92464 0.000 0.988 0.000 0.012
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.4830 0.05595 0.608 0.000 0.000 0.392
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.0000 0.92698 0.000 1.000 0.000 0.000
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.2814 0.16766 0.868 0.000 0.000 0.132
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 3 0.0000 0.97234 0.000 0.000 1.000 0.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 2 0.0000 0.92698 0.000 1.000 0.000 0.000
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 3 0.0000 0.97234 0.000 0.000 1.000 0.000
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.3569 0.12158 0.804 0.000 0.000 0.196
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 4 0.1488 0.31630 0.012 0.032 0.000 0.956
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.0000 0.92698 0.000 1.000 0.000 0.000
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 4 0.4933 -0.12642 0.432 0.000 0.000 0.568
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.4992 0.27268 0.524 0.000 0.000 0.476
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 3 0.4981 0.13588 0.000 0.464 0.536 0.000
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 2 0.2469 0.83972 0.000 0.892 0.108 0.000
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 1 0.4855 0.04911 0.600 0.000 0.000 0.400
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 4 0.5992 0.17102 0.444 0.040 0.000 0.516
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.4981 0.28400 0.536 0.000 0.000 0.464
#> DA1301D3-1F84-46C5-AB44-079493A81A51 4 0.5000 0.11477 0.500 0.000 0.000 0.500
#> A12B1681-B598-40C3-80FE-1801F3F1189D 4 0.4152 0.31576 0.160 0.032 0.000 0.808
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 2 0.2704 0.85373 0.000 0.876 0.000 0.124
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 4 0.5966 0.33493 0.072 0.280 0.000 0.648
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.0000 0.92698 0.000 1.000 0.000 0.000
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.0469 0.92469 0.000 0.988 0.000 0.012
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 1 0.4830 0.05595 0.608 0.000 0.000 0.392
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.0000 0.92698 0.000 1.000 0.000 0.000
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.0000 0.92698 0.000 1.000 0.000 0.000
#> 1D0379B1-0E99-4E6D-B890-907C92860654 2 0.3688 0.75602 0.000 0.792 0.000 0.208
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.1022 0.91783 0.000 0.968 0.000 0.032
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 2 0.2988 0.84708 0.012 0.876 0.000 0.112
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 2 0.1022 0.91783 0.000 0.968 0.000 0.032
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.4992 0.27268 0.524 0.000 0.000 0.476
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.0469 0.92464 0.000 0.988 0.000 0.012
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.4830 0.05595 0.608 0.000 0.000 0.392
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.0000 0.92698 0.000 1.000 0.000 0.000
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.1118 0.22351 0.964 0.000 0.000 0.036
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.0000 0.92698 0.000 1.000 0.000 0.000
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 4 0.5088 -0.11260 0.424 0.004 0.000 0.572
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.0000 0.92698 0.000 1.000 0.000 0.000
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.4992 0.27268 0.524 0.000 0.000 0.476
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.0000 0.92698 0.000 1.000 0.000 0.000
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.4977 0.28764 0.540 0.000 0.000 0.460
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.2011 0.25321 0.920 0.000 0.000 0.080
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.0921 0.91961 0.000 0.972 0.000 0.028
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 4 0.6309 -0.01067 0.336 0.076 0.000 0.588
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.0469 0.92464 0.000 0.988 0.000 0.012
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.97234 0.000 0.000 1.000 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 2 0.2530 0.83606 0.000 0.888 0.112 0.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.0000 0.97234 0.000 0.000 1.000 0.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 4 0.2593 0.37125 0.004 0.104 0.000 0.892
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.0188 0.92603 0.000 0.996 0.000 0.004
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.0469 0.92464 0.000 0.988 0.000 0.012
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.0000 0.92698 0.000 1.000 0.000 0.000
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.1022 0.91783 0.000 0.968 0.000 0.032
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.4776 0.27266 0.624 0.000 0.000 0.376
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.4977 0.28764 0.540 0.000 0.000 0.460
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.4830 0.05595 0.608 0.000 0.000 0.392
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.1118 0.24882 0.964 0.000 0.000 0.036
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.0000 0.92698 0.000 1.000 0.000 0.000
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.0000 0.92698 0.000 1.000 0.000 0.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.4992 0.27268 0.524 0.000 0.000 0.476
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.0000 0.92698 0.000 1.000 0.000 0.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.4977 0.28764 0.540 0.000 0.000 0.460
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.4843 0.05264 0.604 0.000 0.000 0.396
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.97234 0.000 0.000 1.000 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.4855 0.04911 0.600 0.000 0.000 0.400
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 5 0.4182 0.19119 0.400 0.000 0.000 0.000 0.600
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.97244 0.000 0.000 1.000 0.000 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 5 0.0162 0.83155 0.004 0.000 0.000 0.000 0.996
#> 85252141-5469-4F68-8F3F-934F8B3277E5 5 0.0609 0.83736 0.020 0.000 0.000 0.000 0.980
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 5 0.0609 0.83736 0.020 0.000 0.000 0.000 0.980
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.4227 0.38054 0.580 0.000 0.000 0.000 0.420
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 4 0.3421 0.58412 0.004 0.164 0.000 0.816 0.016
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 2 0.4688 0.48864 0.004 0.616 0.000 0.364 0.016
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 5 0.0609 0.83571 0.020 0.000 0.000 0.000 0.980
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 5 0.6975 0.09749 0.228 0.016 0.000 0.300 0.456
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 5 0.1117 0.81421 0.016 0.000 0.000 0.020 0.964
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 2 0.3732 0.74008 0.000 0.820 0.056 0.120 0.004
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.3837 0.56981 0.692 0.000 0.000 0.000 0.308
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 2 0.3730 0.49326 0.000 0.712 0.288 0.000 0.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 5 0.4552 0.46285 0.020 0.004 0.000 0.308 0.668
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 4 0.3999 0.46148 0.000 0.344 0.000 0.656 0.000
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.3730 0.59550 0.712 0.000 0.000 0.000 0.288
#> 83D11444-C029-4152-996B-444997C20DB5 5 0.4294 -0.04907 0.468 0.000 0.000 0.000 0.532
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 5 0.0000 0.83005 0.000 0.000 0.000 0.000 1.000
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0510 0.84951 0.984 0.000 0.000 0.000 0.016
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 5 0.2338 0.74980 0.004 0.000 0.000 0.112 0.884
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.2439 0.75836 0.000 0.876 0.000 0.120 0.004
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 4 0.2929 0.60411 0.000 0.180 0.000 0.820 0.000
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.4201 0.39801 0.592 0.000 0.000 0.000 0.408
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 5 0.5745 0.28532 0.008 0.096 0.000 0.288 0.608
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 5 0.0510 0.82297 0.016 0.000 0.000 0.000 0.984
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.0000 0.77779 0.000 1.000 0.000 0.000 0.000
#> 375FE390-434B-41D3-9029-84065B1D7B6F 2 0.5399 0.15993 0.028 0.516 0.000 0.440 0.016
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 0.84447 1.000 0.000 0.000 0.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.1043 0.78063 0.000 0.960 0.000 0.040 0.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.2020 0.76938 0.000 0.900 0.000 0.100 0.000
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.2536 0.75458 0.000 0.868 0.000 0.128 0.004
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.2471 0.75421 0.000 0.864 0.000 0.136 0.000
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.0162 0.84271 0.996 0.000 0.000 0.000 0.004
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 2 0.0162 0.77814 0.000 0.996 0.000 0.004 0.000
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 2 0.4242 0.43641 0.000 0.572 0.000 0.428 0.000
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 1 0.4101 0.46676 0.628 0.000 0.000 0.000 0.372
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0000 0.97244 0.000 0.000 1.000 0.000 0.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.4227 0.37397 0.580 0.000 0.000 0.000 0.420
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.0000 0.97244 0.000 0.000 1.000 0.000 0.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 4 0.1908 0.62605 0.000 0.092 0.000 0.908 0.000
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.0000 0.97244 0.000 0.000 1.000 0.000 0.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.0000 0.97244 0.000 0.000 1.000 0.000 0.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 1 0.0000 0.84447 1.000 0.000 0.000 0.000 0.000
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 4 0.6714 0.21692 0.280 0.000 0.000 0.424 0.296
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 5 0.0703 0.83594 0.024 0.000 0.000 0.000 0.976
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 2 0.4287 0.21954 0.000 0.540 0.000 0.460 0.000
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 5 0.0609 0.82485 0.020 0.000 0.000 0.000 0.980
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.3949 0.53287 0.668 0.000 0.000 0.000 0.332
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 4 0.5824 0.44758 0.000 0.224 0.000 0.608 0.168
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.3707 0.63264 0.000 0.716 0.000 0.284 0.000
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 4 0.3491 0.51083 0.228 0.000 0.000 0.768 0.004
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.0000 0.97244 0.000 0.000 1.000 0.000 0.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 5 0.2732 0.73828 0.160 0.000 0.000 0.000 0.840
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 2 0.3519 0.71734 0.008 0.776 0.000 0.216 0.000
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 4 0.3039 0.60344 0.000 0.192 0.000 0.808 0.000
#> 208165C0-229B-49E2-A22A-575CA3157C9E 4 0.6952 0.34015 0.020 0.312 0.000 0.468 0.200
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#> ED52DF66-827A-4A8C-8E50-03C85FA04508 5 0.4227 0.33639 0.420 0.000 0.000 0.000 0.580
#> AB3B48ED-CFF9-4D66-BF3A-E9267D57BA14 4 0.4192 0.35171 0.000 0.404 0.000 0.596 0.000
#> 248A7931-1EB5-47E3-A966-E6AF62E21FC1 3 0.0000 0.97244 0.000 0.000 1.000 0.000 0.000
#> CB846F43-7719-4B7E-946B-32E6384F3CC4 5 0.0510 0.82297 0.016 0.000 0.000 0.000 0.984
#> 940E691A-04A2-410F-B1FB-A66A3BFE10E7 3 0.0000 0.97244 0.000 0.000 1.000 0.000 0.000
#> C3842EA2-E3BC-48DE-9B59-92145AC2F716 3 0.0000 0.97244 0.000 0.000 1.000 0.000 0.000
#> 497FB1B2-A998-44F3-8D69-6974314F941D 4 0.5555 0.52295 0.000 0.152 0.000 0.644 0.204
#> 4BAA88D6-4A88-4D54-9B0E-83365CC85C39 5 0.4304 0.17354 0.484 0.000 0.000 0.000 0.516
#> 7480A3B3-3BF8-4123-8E2E-8C2B52688EC6 2 0.0000 0.77779 0.000 1.000 0.000 0.000 0.000
#> AE3211D1-65C0-46B1-A67F-741C21A7D1C4 2 0.3636 0.64837 0.000 0.728 0.000 0.272 0.000
#> D7244456-CB99-4893-85FE-65082CC4F17C 2 0.2516 0.74000 0.000 0.860 0.000 0.140 0.000
#> C4E0F193-49DC-4A49-84BB-337AAF277145 5 0.0609 0.83736 0.020 0.000 0.000 0.000 0.980
#> E2DF7E97-6BE1-412C-B71D-151B87739653 4 0.4972 -0.08369 0.008 0.440 0.000 0.536 0.016
#> 022BCEE2-4794-4D5D-87E5-22CD25FDBA98 2 0.0000 0.77779 0.000 1.000 0.000 0.000 0.000
#> 2AF33CEA-C327-4A31-84D8-C4F26E8A3ECF 1 0.6510 -0.08591 0.452 0.028 0.000 0.424 0.096
#> E877B9C0-11C5-4CC8-BAE1-AC210535F3DB 4 0.5968 0.52901 0.248 0.072 0.000 0.636 0.044
#> 0E737E9F-1045-4B86-A290-ED927D5DE7BF 2 0.1341 0.78316 0.000 0.944 0.000 0.056 0.000
#> D1B88E26-3B64-4E1A-8E50-22AD100BD9F9 4 0.2471 0.62096 0.000 0.136 0.000 0.864 0.000
#> 3AEB8943-FE34-4014-B851-BBF83857A794 2 0.4410 0.31240 0.000 0.556 0.000 0.440 0.004
#> BECD727E-E3C1-4C42-9047-D97B7444B20B 4 0.3752 0.52549 0.000 0.292 0.000 0.708 0.000
#> AF866E63-9EA1-4669-B9C4-FC7E877334AE 2 0.2561 0.74701 0.000 0.856 0.000 0.144 0.000
#> F9C8E54A-4CE4-4839-B0CA-58678461EEF1 2 0.1792 0.74712 0.000 0.916 0.000 0.084 0.000
#> AE818BC4-05BF-4E85-A4AD-F3E43DD7D37A 2 0.1908 0.75289 0.000 0.908 0.000 0.092 0.000
#> BA73A860-CADE-408D-8D27-14EADA2B53B0 4 0.6556 0.11762 0.400 0.004 0.000 0.424 0.172
#> 688858C8-48CA-43E9-AE2C-B9D4F80B5EE9 2 0.0000 0.77779 0.000 1.000 0.000 0.000 0.000
#> EB1D52B2-17B3-491E-B484-1235633D6925 2 0.4507 0.56382 0.012 0.644 0.000 0.340 0.004
#> AE261B5D-3881-40B9-8EE7-26B950E0BE16 5 0.4235 0.08771 0.424 0.000 0.000 0.000 0.576
#> 8C9851D5-3091-4DE0-A59E-9122C0CA1CD2 2 0.4249 0.28850 0.000 0.568 0.000 0.432 0.000
#> C8180F95-4E9C-45DB-B959-B47F64167C2D 4 0.0963 0.62881 0.000 0.036 0.000 0.964 0.000
#> 552D3B42-8D22-4B64-B3A2-B3E5D51A8524 2 0.0000 0.77779 0.000 1.000 0.000 0.000 0.000
#> FED9F364-BC3F-4134-BF4B-4D24B0EB8315 5 0.0609 0.83736 0.020 0.000 0.000 0.000 0.980
#> 7B0D7792-C803-4DD0-B9BF-CB83DA2D199A 1 0.0510 0.84951 0.984 0.000 0.000 0.000 0.016
#> B4F82CBB-A47C-44C3-81AC-CF775FF06FCD 1 0.0510 0.84951 0.984 0.000 0.000 0.000 0.016
#> BFAB10CF-5B24-40F7-92E7-C2E60DD779EF 1 0.0609 0.83187 0.980 0.000 0.000 0.000 0.020
#> E4E259E1-48B2-4C76-B113-E46270742F53 2 0.1478 0.78011 0.000 0.936 0.000 0.064 0.000
#> 81FCBC31-367A-4B1C-A832-B133E4A43738 4 0.5364 0.08136 0.036 0.008 0.000 0.496 0.460
#> 8690FA0F-9C1C-4D97-813A-3FB56827FBFC 2 0.2561 0.74736 0.000 0.856 0.000 0.144 0.000
#> 9810CF0C-99D1-445B-B1F9-C956D2438495 3 0.0000 0.97244 0.000 0.000 1.000 0.000 0.000
#> 2F5073E1-9EDD-46B5-95E3-8314E2A5B620 5 0.2377 0.75335 0.128 0.000 0.000 0.000 0.872
#> B454F9FB-439A-43B5-877D-752D0F138AB5 2 0.0000 0.77779 0.000 1.000 0.000 0.000 0.000
#> 287F2B71-92F8-4D14-8249-C1BFBB254BE7 1 0.0609 0.84594 0.980 0.000 0.000 0.000 0.020
#> 52DC920F-0AD5-47CE-BD81-31843876B71E 1 0.0510 0.84951 0.984 0.000 0.000 0.000 0.016
#> 6BAC4B1B-C3FC-4A09-9821-232E510E6A47 5 0.2471 0.75763 0.136 0.000 0.000 0.000 0.864
#> A2B87EED-0D8E-4B20-85D3-FD9CC5E2E806 1 0.0000 0.84447 1.000 0.000 0.000 0.000 0.000
#> 43E6DB93-2DA6-4F0F-BF81-0C3869134D2B 1 0.0510 0.84951 0.984 0.000 0.000 0.000 0.016
#> 09A2ED74-A7C7-4DBB-8EDD-C80D0F0AEFDF 1 0.4227 0.37397 0.580 0.000 0.000 0.000 0.420
#> 35EDCB52-D4B5-4305-8A74-95EFE6F2BFB1 1 0.0609 0.83187 0.980 0.000 0.000 0.000 0.020
#> D5D18AF8-9CC2-496C-A83A-31BBA0195CFD 5 0.3151 0.70624 0.020 0.000 0.000 0.144 0.836
#> 03767EDF-2F8A-41DE-8D80-F4BE861225A3 5 0.3224 0.66073 0.016 0.160 0.000 0.000 0.824
#> 586BC656-AD9C-44EF-9ED4-87DEEB5C8AA6 1 0.0510 0.84951 0.984 0.000 0.000 0.000 0.016
#> 23CA1146-CB1B-4054-A4FF-200B87444BF9 1 0.0510 0.84951 0.984 0.000 0.000 0.000 0.016
#> 910E9B6D-E7D5-4C83-A19C-1EEA6E135639 4 0.8456 0.32026 0.240 0.168 0.000 0.320 0.272
#> F36353A3-6CE6-4347-A78B-0AAD8FAB14AD 1 0.0510 0.84951 0.984 0.000 0.000 0.000 0.016
#> 2045736E-7D0F-4B17-B74B-3B12AEE3E68C 1 0.4201 0.39820 0.592 0.000 0.000 0.000 0.408
#> 5EFA2C2D-30B3-4D66-9601-354711F9FC56 3 0.0000 0.97244 0.000 0.000 1.000 0.000 0.000
#> 3FBD381D-84C8-4680-980B-CC4B7924BE06 2 0.0000 0.77779 0.000 1.000 0.000 0.000 0.000
#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 4 0.5782 0.17982 0.004 0.076 0.000 0.488 0.432
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 5 0.0609 0.83736 0.020 0.000 0.000 0.000 0.980
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 2 0.3003 0.66595 0.000 0.812 0.000 0.188 0.000
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 2 0.2891 0.62931 0.000 0.824 0.000 0.176 0.000
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 5 0.0162 0.83213 0.004 0.000 0.000 0.000 0.996
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 2 0.0162 0.77892 0.000 0.996 0.000 0.004 0.000
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 4 0.1043 0.62776 0.000 0.040 0.000 0.960 0.000
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 5 0.1043 0.82248 0.040 0.000 0.000 0.000 0.960
#> A3343F40-F977-4F9B-856A-28781F10F4CD 2 0.3999 0.49238 0.000 0.656 0.000 0.344 0.000
#> DA144299-5541-47D7-A59E-C92896DF08FC 5 0.0609 0.83736 0.020 0.000 0.000 0.000 0.980
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 2 0.0000 0.77779 0.000 1.000 0.000 0.000 0.000
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.0510 0.84951 0.984 0.000 0.000 0.000 0.016
#> 617447CF-9327-4062-B22C-71A8944C948F 4 0.2852 0.60351 0.000 0.172 0.000 0.828 0.000
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0510 0.84951 0.984 0.000 0.000 0.000 0.016
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 4 0.3949 0.48031 0.000 0.332 0.000 0.668 0.000
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 5 0.0609 0.83736 0.020 0.000 0.000 0.000 0.980
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.0162 0.77831 0.000 0.996 0.000 0.004 0.000
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 5 0.4201 0.16233 0.408 0.000 0.000 0.000 0.592
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 3 0.0000 0.97244 0.000 0.000 1.000 0.000 0.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 4 0.4015 0.47633 0.000 0.348 0.000 0.652 0.000
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 3 0.0000 0.97244 0.000 0.000 1.000 0.000 0.000
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 5 0.3949 0.38062 0.332 0.000 0.000 0.000 0.668
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 5 0.4219 0.34436 0.416 0.000 0.000 0.000 0.584
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.0000 0.77779 0.000 1.000 0.000 0.000 0.000
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 1 0.0510 0.83397 0.984 0.000 0.000 0.000 0.016
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.0000 0.84447 1.000 0.000 0.000 0.000 0.000
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 3 0.4283 0.10107 0.000 0.456 0.544 0.000 0.000
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 2 0.0703 0.77654 0.000 0.976 0.024 0.000 0.000
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 5 0.0510 0.83630 0.016 0.000 0.000 0.000 0.984
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 5 0.1300 0.81479 0.028 0.016 0.000 0.000 0.956
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.0510 0.84951 0.984 0.000 0.000 0.000 0.016
#> DA1301D3-1F84-46C5-AB44-079493A81A51 5 0.0510 0.82297 0.016 0.000 0.000 0.000 0.984
#> A12B1681-B598-40C3-80FE-1801F3F1189D 5 0.4326 0.58813 0.264 0.000 0.000 0.028 0.708
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 2 0.4666 0.43388 0.000 0.572 0.000 0.412 0.016
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 4 0.1492 0.62776 0.004 0.008 0.000 0.948 0.040
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.0794 0.78088 0.000 0.972 0.000 0.028 0.000
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.3109 0.72906 0.000 0.800 0.000 0.200 0.000
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 5 0.0510 0.83630 0.016 0.000 0.000 0.000 0.984
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.3395 0.70510 0.000 0.764 0.000 0.236 0.000
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.0000 0.77779 0.000 1.000 0.000 0.000 0.000
#> 1D0379B1-0E99-4E6D-B890-907C92860654 2 0.5212 0.21195 0.020 0.548 0.000 0.416 0.016
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.2852 0.71906 0.000 0.828 0.000 0.172 0.000
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 4 0.4647 0.32208 0.004 0.352 0.000 0.628 0.016
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 4 0.3730 0.53909 0.000 0.288 0.000 0.712 0.000
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0000 0.84447 1.000 0.000 0.000 0.000 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.2230 0.72935 0.000 0.884 0.000 0.116 0.000
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 5 0.0609 0.83736 0.020 0.000 0.000 0.000 0.980
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.2813 0.73266 0.000 0.832 0.000 0.168 0.000
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.4304 0.20856 0.516 0.000 0.000 0.000 0.484
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.0000 0.77779 0.000 1.000 0.000 0.000 0.000
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 1 0.0865 0.83003 0.972 0.004 0.000 0.000 0.024
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.0000 0.77779 0.000 1.000 0.000 0.000 0.000
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.0000 0.84447 1.000 0.000 0.000 0.000 0.000
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.1197 0.77871 0.000 0.952 0.000 0.048 0.000
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0510 0.84951 0.984 0.000 0.000 0.000 0.016
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.4015 0.50666 0.652 0.000 0.000 0.000 0.348
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.2230 0.74855 0.000 0.884 0.000 0.116 0.000
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.3241 0.70316 0.856 0.100 0.000 0.008 0.036
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.3366 0.64920 0.000 0.768 0.000 0.232 0.000
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.97244 0.000 0.000 1.000 0.000 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 2 0.0794 0.77571 0.000 0.972 0.028 0.000 0.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.0000 0.97244 0.000 0.000 1.000 0.000 0.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 4 0.6878 0.11728 0.260 0.004 0.000 0.388 0.348
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.3282 0.71990 0.008 0.804 0.000 0.188 0.000
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 4 0.3816 0.51450 0.000 0.304 0.000 0.696 0.000
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.3508 0.52476 0.000 0.748 0.000 0.252 0.000
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 4 0.4210 0.13997 0.000 0.412 0.000 0.588 0.000
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.1608 0.82172 0.928 0.000 0.000 0.000 0.072
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0510 0.84951 0.984 0.000 0.000 0.000 0.016
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 5 0.0703 0.83601 0.024 0.000 0.000 0.000 0.976
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.4161 0.42958 0.608 0.000 0.000 0.000 0.392
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.0963 0.78193 0.000 0.964 0.000 0.036 0.000
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.3336 0.66168 0.000 0.772 0.000 0.228 0.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0000 0.84447 1.000 0.000 0.000 0.000 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.0000 0.77779 0.000 1.000 0.000 0.000 0.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.0510 0.84951 0.984 0.000 0.000 0.000 0.016
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 5 0.0609 0.83736 0.020 0.000 0.000 0.000 0.980
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.97244 0.000 0.000 1.000 0.000 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 5 0.0609 0.83736 0.020 0.000 0.000 0.000 0.980
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 5 0.3797 0.18143 0.420 0.000 0.000 0.000 0.580 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.98119 0.000 0.000 1.000 0.000 0.000 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 5 0.0000 0.85729 0.000 0.000 0.000 0.000 1.000 0.000
#> 85252141-5469-4F68-8F3F-934F8B3277E5 5 0.0000 0.85729 0.000 0.000 0.000 0.000 1.000 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 5 0.0000 0.85729 0.000 0.000 0.000 0.000 1.000 0.000
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.3490 0.56056 0.724 0.000 0.000 0.000 0.268 0.008
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 4 0.4701 0.63287 0.000 0.128 0.000 0.680 0.000 0.192
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 2 0.5031 0.47797 0.000 0.480 0.000 0.072 0.000 0.448
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 5 0.0000 0.85729 0.000 0.000 0.000 0.000 1.000 0.000
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 6 0.2108 0.45109 0.016 0.000 0.000 0.016 0.056 0.912
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 5 0.3023 0.67464 0.000 0.000 0.000 0.000 0.768 0.232
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 2 0.3846 0.73868 0.000 0.784 0.048 0.016 0.000 0.152
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.2664 0.64134 0.816 0.000 0.000 0.000 0.184 0.000
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#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 5 0.0458 0.85180 0.000 0.000 0.000 0.000 0.984 0.016
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 5 0.3841 0.43568 0.000 0.004 0.000 0.000 0.616 0.380
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.3330 0.44858 0.716 0.000 0.000 0.000 0.000 0.284
#> DA1301D3-1F84-46C5-AB44-079493A81A51 5 0.0000 0.85729 0.000 0.000 0.000 0.000 1.000 0.000
#> A12B1681-B598-40C3-80FE-1801F3F1189D 6 0.4954 0.37127 0.112 0.000 0.000 0.000 0.260 0.628
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 6 0.5360 -0.46477 0.000 0.436 0.000 0.108 0.000 0.456
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 4 0.2263 0.77790 0.000 0.000 0.000 0.896 0.048 0.056
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.0547 0.77974 0.000 0.980 0.000 0.000 0.000 0.020
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.4065 0.72249 0.000 0.724 0.000 0.056 0.000 0.220
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 5 0.0603 0.85098 0.004 0.000 0.000 0.000 0.980 0.016
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.4305 0.68950 0.000 0.684 0.000 0.056 0.000 0.260
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.0000 0.77405 0.000 1.000 0.000 0.000 0.000 0.000
#> 1D0379B1-0E99-4E6D-B890-907C92860654 2 0.5710 0.30440 0.016 0.460 0.000 0.104 0.000 0.420
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.2384 0.77302 0.000 0.888 0.000 0.064 0.000 0.048
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 2 0.6389 0.31426 0.004 0.436 0.000 0.252 0.012 0.296
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 4 0.1814 0.82717 0.000 0.100 0.000 0.900 0.000 0.000
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 6 0.3868 0.16368 0.492 0.000 0.000 0.000 0.000 0.508
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.2214 0.74077 0.000 0.888 0.000 0.096 0.000 0.016
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 5 0.0000 0.85729 0.000 0.000 0.000 0.000 1.000 0.000
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.3271 0.71889 0.000 0.760 0.000 0.008 0.000 0.232
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.3843 0.21914 0.548 0.000 0.000 0.000 0.452 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.0363 0.77575 0.000 0.988 0.000 0.000 0.000 0.012
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 6 0.3862 0.33743 0.388 0.000 0.000 0.000 0.004 0.608
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.0363 0.77332 0.000 0.988 0.000 0.000 0.000 0.012
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.3851 -0.03893 0.540 0.000 0.000 0.000 0.000 0.460
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.2432 0.75858 0.000 0.876 0.000 0.100 0.000 0.024
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.72493 1.000 0.000 0.000 0.000 0.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.2793 0.63016 0.800 0.000 0.000 0.000 0.200 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.1918 0.76440 0.000 0.904 0.000 0.088 0.000 0.008
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 6 0.4446 0.35380 0.368 0.004 0.000 0.000 0.028 0.600
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.3992 0.69248 0.000 0.760 0.000 0.136 0.000 0.104
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.98119 0.000 0.000 1.000 0.000 0.000 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 2 0.0914 0.77341 0.000 0.968 0.000 0.016 0.000 0.016
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.0363 0.98006 0.000 0.000 0.988 0.012 0.000 0.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 6 0.3883 0.41441 0.032 0.000 0.000 0.080 0.084 0.804
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.4281 0.69079 0.000 0.704 0.000 0.068 0.000 0.228
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 4 0.1663 0.83787 0.000 0.088 0.000 0.912 0.000 0.000
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.4045 0.45830 0.000 0.664 0.000 0.312 0.000 0.024
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.5503 0.22209 0.000 0.456 0.000 0.416 0.000 0.128
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0790 0.71977 0.968 0.000 0.000 0.000 0.032 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.1863 0.67790 0.896 0.000 0.000 0.000 0.000 0.104
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 5 0.0146 0.85570 0.004 0.000 0.000 0.000 0.996 0.000
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.3126 0.59333 0.752 0.000 0.000 0.000 0.248 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.1265 0.78058 0.000 0.948 0.000 0.008 0.000 0.044
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.3694 0.72858 0.000 0.784 0.000 0.076 0.000 0.140
#> EB2D043E-B722-4E95-A8FE-68E23171705A 6 0.3868 0.16368 0.492 0.000 0.000 0.000 0.000 0.508
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.0632 0.77580 0.000 0.976 0.000 0.000 0.000 0.024
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.0260 0.72286 0.992 0.000 0.000 0.000 0.000 0.008
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 5 0.0000 0.85729 0.000 0.000 0.000 0.000 1.000 0.000
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.98119 0.000 0.000 1.000 0.000 0.000 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 5 0.0000 0.85729 0.000 0.000 0.000 0.000 1.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["CV", "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 17654 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'CV' method.
#> Subgroups are detected by 'mclust' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.758 0.837 0.932 0.490 0.503 0.503
#> 3 3 0.701 0.763 0.869 0.247 0.748 0.559
#> 4 4 0.707 0.754 0.833 0.125 0.885 0.724
#> 5 5 0.651 0.668 0.782 0.101 0.863 0.620
#> 6 6 0.682 0.573 0.749 0.053 0.939 0.769
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
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.9266 1.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 2 0.2236 0.9122 0.036 0.964
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.0000 0.9266 1.000 0.000
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.0000 0.9266 1.000 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.0000 0.9266 1.000 0.000
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.0000 0.9266 1.000 0.000
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 1 0.9710 0.3577 0.600 0.400
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 1 0.9286 0.4885 0.656 0.344
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.0000 0.9266 1.000 0.000
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 1 0.0938 0.9174 0.988 0.012
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.0000 0.9266 1.000 0.000
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 2 0.2236 0.9122 0.036 0.964
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.9266 1.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 2 0.1184 0.9177 0.016 0.984
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 1 0.9087 0.5249 0.676 0.324
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.6343 0.7871 0.160 0.840
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0000 0.9266 1.000 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.9266 1.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 1 0.0376 0.9236 0.996 0.004
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0000 0.9266 1.000 0.000
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 1 0.1184 0.9144 0.984 0.016
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.0000 0.9192 0.000 1.000
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 2 0.8016 0.6702 0.244 0.756
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0000 0.9266 1.000 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 1 0.9358 0.4728 0.648 0.352
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 1 0.0000 0.9266 1.000 0.000
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.4815 0.8514 0.104 0.896
#> 375FE390-434B-41D3-9029-84065B1D7B6F 1 0.9209 0.5052 0.664 0.336
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 0.9266 1.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.0000 0.9192 0.000 1.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.0376 0.9193 0.004 0.996
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.0000 0.9192 0.000 1.000
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.0000 0.9192 0.000 1.000
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.0000 0.9266 1.000 0.000
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 2 0.0000 0.9192 0.000 1.000
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 1 0.9944 0.1848 0.544 0.456
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 1 0.0000 0.9266 1.000 0.000
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 2 0.2236 0.9122 0.036 0.964
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.0000 0.9266 1.000 0.000
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 2 0.2236 0.9122 0.036 0.964
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 2 0.3274 0.8917 0.060 0.940
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 2 0.2236 0.9122 0.036 0.964
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 2 0.2236 0.9122 0.036 0.964
#> 906CBD77-BD00-4199-B56C-E525C9509442 1 0.0000 0.9266 1.000 0.000
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 1 0.1843 0.9057 0.972 0.028
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.0000 0.9266 1.000 0.000
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 2 0.0376 0.9194 0.004 0.996
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 1 0.0000 0.9266 1.000 0.000
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.0000 0.9266 1.000 0.000
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 1 0.9323 0.4813 0.652 0.348
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 1 0.9993 0.0807 0.516 0.484
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 1 0.8861 0.5626 0.696 0.304
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 2 0.2236 0.9122 0.036 0.964
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.0000 0.9266 1.000 0.000
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 1 0.9922 0.2110 0.552 0.448
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 2 0.2043 0.9103 0.032 0.968
#> 208165C0-229B-49E2-A22A-575CA3157C9E 1 0.9248 0.4969 0.660 0.340
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 1 0.0000 0.9266 1.000 0.000
#> 01397021-8495-4D89-885A-166B4DBA0122 2 0.2236 0.9122 0.036 0.964
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 2 0.2236 0.9122 0.036 0.964
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.0000 0.9266 1.000 0.000
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 2 0.4815 0.8523 0.104 0.896
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 2 0.0000 0.9192 0.000 1.000
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 2 0.1843 0.9147 0.028 0.972
#> AA569A06-0F37-4492-93F3-60A4539A3E82 2 0.2603 0.9028 0.044 0.956
#> BC53FB75-94CA-48C3-875B-5987037D186F 2 0.0000 0.9192 0.000 1.000
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 1 0.0000 0.9266 1.000 0.000
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 2 0.0000 0.9192 0.000 1.000
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 2 0.8661 0.5875 0.288 0.712
#> DF67F589-A607-4B95-96B8-4BB344132312 2 0.0000 0.9192 0.000 1.000
#> A65233E6-C146-4ACF-8DDE-5FB12D8D9637 2 0.2236 0.9122 0.036 0.964
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#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 2 0.0000 0.9192 0.000 1.000
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 1 0.0000 0.9266 1.000 0.000
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 1 0.0376 0.9236 0.996 0.004
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.0000 0.9266 1.000 0.000
#> DA1301D3-1F84-46C5-AB44-079493A81A51 1 0.0000 0.9266 1.000 0.000
#> A12B1681-B598-40C3-80FE-1801F3F1189D 1 0.0000 0.9266 1.000 0.000
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 1 0.9909 0.2243 0.556 0.444
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 1 0.9686 0.3692 0.604 0.396
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.0000 0.9192 0.000 1.000
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 1 0.9209 0.5052 0.664 0.336
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 1 0.0000 0.9266 1.000 0.000
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.0000 0.9192 0.000 1.000
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.0000 0.9192 0.000 1.000
#> 1D0379B1-0E99-4E6D-B890-907C92860654 1 0.9209 0.5052 0.664 0.336
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.0376 0.9194 0.004 0.996
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 1 0.9922 0.2111 0.552 0.448
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 2 0.1633 0.9143 0.024 0.976
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0000 0.9266 1.000 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.0000 0.9192 0.000 1.000
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.0000 0.9266 1.000 0.000
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.0000 0.9192 0.000 1.000
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0000 0.9266 1.000 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.0376 0.9193 0.004 0.996
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 1 0.0000 0.9266 1.000 0.000
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.0000 0.9192 0.000 1.000
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.0000 0.9266 1.000 0.000
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.1184 0.9172 0.016 0.984
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.9266 1.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.9266 1.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.1184 0.9171 0.016 0.984
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.0000 0.9266 1.000 0.000
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.0376 0.9193 0.004 0.996
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 2 0.2236 0.9122 0.036 0.964
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 2 0.2236 0.9122 0.036 0.964
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 2 0.2236 0.9122 0.036 0.964
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 1 0.1414 0.9118 0.980 0.020
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.4022 0.8732 0.080 0.920
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.0000 0.9192 0.000 1.000
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.0000 0.9192 0.000 1.000
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.1184 0.9170 0.016 0.984
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.9266 1.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.9266 1.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.0000 0.9266 1.000 0.000
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0000 0.9266 1.000 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.0000 0.9192 0.000 1.000
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.0376 0.9193 0.004 0.996
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0000 0.9266 1.000 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.0000 0.9192 0.000 1.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.0000 0.9266 1.000 0.000
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.0000 0.9266 1.000 0.000
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 2 0.2236 0.9122 0.036 0.964
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.0000 0.9266 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.98184 1.000 0.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.80675 0.000 0.000 1.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.0000 0.98184 1.000 0.000 0.000
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.4235 0.78299 0.824 0.176 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.0000 0.98184 1.000 0.000 0.000
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.0000 0.98184 1.000 0.000 0.000
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 2 0.4887 0.55502 0.228 0.772 0.000
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 2 0.4504 0.59036 0.196 0.804 0.000
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.0000 0.98184 1.000 0.000 0.000
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 1 0.5760 0.50717 0.672 0.328 0.000
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.0000 0.98184 1.000 0.000 0.000
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 3 0.5859 0.47330 0.000 0.344 0.656
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.98184 1.000 0.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 3 0.6204 0.31932 0.000 0.424 0.576
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 2 0.5882 0.42078 0.348 0.652 0.000
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.2945 0.72723 0.004 0.908 0.088
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0000 0.98184 1.000 0.000 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.98184 1.000 0.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 1 0.0000 0.98184 1.000 0.000 0.000
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0000 0.98184 1.000 0.000 0.000
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 2 0.6299 0.09482 0.476 0.524 0.000
#> 83453F80-8A68-4A3C-995D-85CFB1011249 3 0.6274 0.23590 0.000 0.456 0.544
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 2 0.2584 0.70629 0.064 0.928 0.008
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0000 0.98184 1.000 0.000 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 2 0.3686 0.64427 0.140 0.860 0.000
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 1 0.0000 0.98184 1.000 0.000 0.000
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.0000 0.73076 0.000 1.000 0.000
#> 375FE390-434B-41D3-9029-84065B1D7B6F 2 0.4842 0.55947 0.224 0.776 0.000
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 0.98184 1.000 0.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.5678 0.52355 0.000 0.684 0.316
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.3619 0.70909 0.000 0.864 0.136
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 3 0.6295 0.18645 0.000 0.472 0.528
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.4062 0.69434 0.000 0.836 0.164
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.0000 0.98184 1.000 0.000 0.000
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 2 0.5882 0.46068 0.000 0.652 0.348
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 2 0.0000 0.73076 0.000 1.000 0.000
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 1 0.0000 0.98184 1.000 0.000 0.000
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0000 0.80675 0.000 0.000 1.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.0000 0.98184 1.000 0.000 0.000
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.0000 0.80675 0.000 0.000 1.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 2 0.6794 0.63918 0.076 0.728 0.196
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.0000 0.80675 0.000 0.000 1.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.0000 0.80675 0.000 0.000 1.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 1 0.0000 0.98184 1.000 0.000 0.000
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 2 0.6252 0.20085 0.444 0.556 0.000
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.0000 0.98184 1.000 0.000 0.000
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 2 0.2878 0.71770 0.000 0.904 0.096
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 1 0.0000 0.98184 1.000 0.000 0.000
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.0000 0.98184 1.000 0.000 0.000
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 2 0.2959 0.68066 0.100 0.900 0.000
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.0000 0.73076 0.000 1.000 0.000
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 2 0.5760 0.44057 0.328 0.672 0.000
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.0000 0.80675 0.000 0.000 1.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.0000 0.98184 1.000 0.000 0.000
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 2 0.0000 0.73076 0.000 1.000 0.000
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 2 0.1950 0.71934 0.040 0.952 0.008
#> 208165C0-229B-49E2-A22A-575CA3157C9E 2 0.3816 0.63928 0.148 0.852 0.000
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 1 0.0000 0.98184 1.000 0.000 0.000
#> 01397021-8495-4D89-885A-166B4DBA0122 3 0.0000 0.80675 0.000 0.000 1.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 3 0.0000 0.80675 0.000 0.000 1.000
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.0000 0.98184 1.000 0.000 0.000
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 2 0.0000 0.73076 0.000 1.000 0.000
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 2 0.4346 0.68113 0.000 0.816 0.184
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 3 0.5926 0.45101 0.000 0.356 0.644
#> AA569A06-0F37-4492-93F3-60A4539A3E82 2 0.0000 0.73076 0.000 1.000 0.000
#> BC53FB75-94CA-48C3-875B-5987037D186F 2 0.5529 0.55563 0.000 0.704 0.296
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 1 0.0000 0.98184 1.000 0.000 0.000
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 2 0.5835 0.47651 0.000 0.660 0.340
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 2 0.0000 0.73076 0.000 1.000 0.000
#> DF67F589-A607-4B95-96B8-4BB344132312 2 0.5465 0.56743 0.000 0.712 0.288
#> A65233E6-C146-4ACF-8DDE-5FB12D8D9637 3 0.0000 0.80675 0.000 0.000 1.000
#> 7578C9A3-FFF8-45C4-AC28-1C6141A9A2AD 1 0.0000 0.98184 1.000 0.000 0.000
#> 4DF775B9-E2FE-4F5E-8329-C37E21C5D10E 1 0.0000 0.98184 1.000 0.000 0.000
#> 5E6B86C6-3D79-47BB-9FAF-CA22659CFEA7 1 0.0000 0.98184 1.000 0.000 0.000
#> 53286128-668B-47EA-9A5F-D768FDCCBE88 1 0.0000 0.98184 1.000 0.000 0.000
#> 01C9F351-97FE-4037-A879-9D96A3DD3FBB 3 0.5810 0.48514 0.000 0.336 0.664
#> 5487DB21-6A58-46AC-A2A1-E343082D41D8 1 0.0000 0.98184 1.000 0.000 0.000
#> 0FB3E997-4E31-4FA6-9654-11C3C0AF8D86 2 0.5291 0.59546 0.000 0.732 0.268
#> A0706E80-FDF9-4721-BEB4-90527F6D38C4 2 0.6260 0.09755 0.000 0.552 0.448
#> 5260226E-1826-4F54-8237-28993DD2EF04 3 0.0000 0.80675 0.000 0.000 1.000
#> F53F71A7-A399-49AB-8657-019C5C56F48C 2 0.0000 0.73076 0.000 1.000 0.000
#> 008159F2-5247-479A-8BFE-C394888D0B74 2 0.1950 0.71934 0.040 0.952 0.008
#> 9E6BA6FB-35F2-4510-94AE-3E7CDFED3D47 3 0.0000 0.80675 0.000 0.000 1.000
#> F12BE7AC-D2DD-4AD1-AB37-32DC85954F59 2 0.5650 0.45693 0.312 0.688 0.000
#> 38A6BA1F-B444-4155-A168-EC2DF0EE0785 1 0.0000 0.98184 1.000 0.000 0.000
#> B107D1DE-EE52-4E89-B75A-91124BFF99AE 3 0.4178 0.69438 0.000 0.172 0.828
#> D4D16D09-8895-4BEA-ABF7-F11C5D5BDCAA 1 0.0000 0.98184 1.000 0.000 0.000
#> 9A53C473-1364-4BB6-AD36-EF53E0208450 1 0.0000 0.98184 1.000 0.000 0.000
#> F00C0ED6-C811-4F32-BDB4-4ACA7861DC7D 2 0.4842 0.64619 0.000 0.776 0.224
#> 72618985-CD49-4B6F-8CB0-5EE590FAD09A 2 0.0000 0.73076 0.000 1.000 0.000
#> 978A315F-CCE9-4D03-A680-C0AD60B10557 2 0.4974 0.63426 0.000 0.764 0.236
#> B6EACAED-3944-4510-B685-0BB8D1651D4F 1 0.0000 0.98184 1.000 0.000 0.000
#> EBCF16B4-A804-45EB-8253-0F28A2645729 1 0.0000 0.98184 1.000 0.000 0.000
#> 637DC441-4A75-4DA8-8F65-91FDB5F103C7 1 0.0000 0.98184 1.000 0.000 0.000
#> 89F67654-A246-4307-9B17-4A1C01DB1AED 2 0.1860 0.73007 0.000 0.948 0.052
#> 3A8EB57B-71ED-4169-A8EB-624C67CDBBE1 2 0.5465 0.56822 0.000 0.712 0.288
#> CC4DA9C6-CAB2-44FF-8219-D293ECD07DD4 1 0.0000 0.98184 1.000 0.000 0.000
#> AEC4FDAA-8F60-43CE-8EBB-5629FA662F16 2 0.0747 0.73179 0.000 0.984 0.016
#> BFC0D795-64F4-48B3-AD08-8C564E5E5367 1 0.0000 0.98184 1.000 0.000 0.000
#> 907BBBA4-4E7B-4808-892E-F80525C3CFA3 2 0.5810 0.43296 0.336 0.664 0.000
#> 7F21FA19-1468-4A65-A10A-A9727218A5EF 1 0.0000 0.98184 1.000 0.000 0.000
#> 905A026A-0B13-4AD3-B2BB-9A5AE76920AF 2 0.1643 0.71929 0.044 0.956 0.000
#> 6DDFC760-7BED-4A68-8DDA-9453D0FC9C1D 1 0.0000 0.98184 1.000 0.000 0.000
#> B3AFF323-BAAD-4512-A837-20C430EA39D1 1 0.0424 0.97390 0.992 0.008 0.000
#> 193E9034-42A2-4701-AA3E-2E852CA5C043 1 0.0000 0.98184 1.000 0.000 0.000
#> 8B6127D5-D3BB-4E17-914C-3ED1E2A52078 2 0.3038 0.72087 0.000 0.896 0.104
#> BD6E5E3C-DC43-4A85-84DF-84C68ABB851A 2 0.2590 0.70262 0.072 0.924 0.004
#> 881EACBD-B314-4A9E-A6DE-58DF9466AFB3 2 0.5363 0.49876 0.276 0.724 0.000
#> 195A6DF6-437D-4964-8872-C44F13E2CA4C 2 0.1289 0.73229 0.000 0.968 0.032
#> C40FD0B3-4773-490D-A342-B1CE8CC0A5BD 1 0.0000 0.98184 1.000 0.000 0.000
#> 613454BF-1A66-4DBB-90D0-246FC212DA4A 1 0.0000 0.98184 1.000 0.000 0.000
#> 5F121320-0F61-4BC0-BB69-F5C9A93BC118 1 0.0000 0.98184 1.000 0.000 0.000
#> E5637874-962B-4C43-8339-A6625D754DA8 2 0.4121 0.61972 0.168 0.832 0.000
#> 7614BF19-E3A2-492A-ABC0-557B274CA326 1 0.0000 0.98184 1.000 0.000 0.000
#> 6EB070B1-45C3-46DB-BFF9-6D9A137EC3A8 2 0.2625 0.69220 0.084 0.916 0.000
#> 873EEA1A-8AA1-4C83-B001-7BD64343ADE1 1 0.0000 0.98184 1.000 0.000 0.000
#> 2DCF0812-AC29-4BC2-8929-4D3D7B0F6335 2 0.5016 0.62733 0.000 0.760 0.240
#> 9391B623-4EC1-43A2-85EC-7B80BE87827D 1 0.0000 0.98184 1.000 0.000 0.000
#> 32A000F1-BAEA-41D2-AC75-02255A5BF2F2 2 0.4172 0.62946 0.156 0.840 0.004
#> 9C1016CE-3EAB-4FA7-806B-C8F6B08B4EA1 2 0.6267 0.17644 0.452 0.548 0.000
#> C7C4E75E-887F-4D11-9FDC-32292895A6B3 2 0.2796 0.68544 0.092 0.908 0.000
#> 54739A62-512F-499F-AFE1-B7C631B35272 1 0.0000 0.98184 1.000 0.000 0.000
#> 4476DF0E-6BB4-4682-BF59-E61071D4184E 1 0.0000 0.98184 1.000 0.000 0.000
#> DCCC6566-8A72-411D-B8F0-CC92B6D973AF 2 0.6414 0.62244 0.036 0.716 0.248
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#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.5016 0.63029 0.000 0.760 0.240
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.0000 0.98184 1.000 0.000 0.000
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.4399 0.67824 0.000 0.812 0.188
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.80675 0.000 0.000 1.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 3 0.5733 0.50308 0.000 0.324 0.676
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.5733 0.50262 0.000 0.324 0.676
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 2 0.6302 0.08333 0.480 0.520 0.000
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.4399 0.67458 0.000 0.812 0.188
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.4634 0.70016 0.012 0.824 0.164
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.5591 0.54365 0.000 0.696 0.304
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.1643 0.73102 0.000 0.956 0.044
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.98184 1.000 0.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.98184 1.000 0.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.0000 0.98184 1.000 0.000 0.000
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0000 0.98184 1.000 0.000 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 3 0.6308 0.10605 0.000 0.492 0.508
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.2448 0.72655 0.000 0.924 0.076
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0000 0.98184 1.000 0.000 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.5650 0.53083 0.000 0.688 0.312
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.0000 0.98184 1.000 0.000 0.000
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.0000 0.98184 1.000 0.000 0.000
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.80675 0.000 0.000 1.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.0000 0.98184 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.87353 1.000 0.000 0.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.98659 0.000 0.000 1.000 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.0592 0.86961 0.984 0.000 0.000 0.016
#> 85252141-5469-4F68-8F3F-934F8B3277E5 4 0.4955 0.29811 0.444 0.000 0.000 0.556
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.0000 0.87353 1.000 0.000 0.000 0.000
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.4277 0.71926 0.720 0.000 0.000 0.280
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 4 0.5609 0.60760 0.088 0.200 0.000 0.712
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 2 0.6791 0.18551 0.100 0.508 0.000 0.392
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.3266 0.79621 0.832 0.000 0.000 0.168
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 4 0.4535 0.59170 0.292 0.004 0.000 0.704
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.4817 0.28591 0.612 0.000 0.000 0.388
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 4 0.6840 0.34440 0.000 0.372 0.108 0.520
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.87353 1.000 0.000 0.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 2 0.3850 0.75800 0.000 0.840 0.044 0.116
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 4 0.5522 0.66008 0.120 0.148 0.000 0.732
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.1211 0.86433 0.000 0.960 0.000 0.040
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0000 0.87353 1.000 0.000 0.000 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.87353 1.000 0.000 0.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 1 0.4967 0.44303 0.548 0.000 0.000 0.452
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0000 0.87353 1.000 0.000 0.000 0.000
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 4 0.6575 0.37451 0.412 0.080 0.000 0.508
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.3308 0.77365 0.000 0.872 0.036 0.092
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 2 0.6058 0.44681 0.060 0.604 0.000 0.336
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.4164 0.73266 0.736 0.000 0.000 0.264
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 2 0.6450 0.46159 0.108 0.616 0.000 0.276
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 1 0.0188 0.87155 0.996 0.000 0.000 0.004
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.1211 0.86546 0.000 0.960 0.000 0.040
#> 375FE390-434B-41D3-9029-84065B1D7B6F 4 0.4784 0.67019 0.112 0.100 0.000 0.788
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 0.87353 1.000 0.000 0.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.0000 0.85938 0.000 1.000 0.000 0.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.3311 0.75986 0.000 0.828 0.000 0.172
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.2124 0.81835 0.000 0.932 0.028 0.040
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.0000 0.85938 0.000 1.000 0.000 0.000
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.4277 0.71926 0.720 0.000 0.000 0.280
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 2 0.2179 0.82507 0.000 0.924 0.012 0.064
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 2 0.2888 0.82990 0.004 0.872 0.000 0.124
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 1 0.4250 0.72280 0.724 0.000 0.000 0.276
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0000 0.98659 0.000 0.000 1.000 0.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.3942 0.75118 0.764 0.000 0.000 0.236
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.0000 0.98659 0.000 0.000 1.000 0.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 2 0.6360 0.29305 0.060 0.564 0.004 0.372
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.0000 0.98659 0.000 0.000 1.000 0.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.0000 0.98659 0.000 0.000 1.000 0.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 1 0.4454 0.68998 0.692 0.000 0.000 0.308
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 4 0.4379 0.65783 0.172 0.036 0.000 0.792
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.3942 0.75118 0.764 0.000 0.000 0.236
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 2 0.0707 0.85093 0.000 0.980 0.020 0.000
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 1 0.4103 0.74184 0.744 0.000 0.000 0.256
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.0000 0.87353 1.000 0.000 0.000 0.000
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 2 0.6107 0.52754 0.088 0.648 0.000 0.264
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.1940 0.85880 0.000 0.924 0.000 0.076
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 4 0.4667 0.66888 0.096 0.108 0.000 0.796
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.0000 0.98659 0.000 0.000 1.000 0.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.0336 0.86928 0.992 0.000 0.000 0.008
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 2 0.2149 0.85213 0.000 0.912 0.000 0.088
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 2 0.3863 0.77327 0.008 0.812 0.004 0.176
#> 208165C0-229B-49E2-A22A-575CA3157C9E 2 0.6552 0.36715 0.096 0.576 0.000 0.328
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 4 0.2760 0.54129 0.128 0.000 0.000 0.872
#> 01397021-8495-4D89-885A-166B4DBA0122 3 0.0000 0.98659 0.000 0.000 1.000 0.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 3 0.0000 0.98659 0.000 0.000 1.000 0.000
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.2408 0.83463 0.896 0.000 0.000 0.104
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 2 0.3123 0.81277 0.000 0.844 0.000 0.156
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 2 0.1174 0.84499 0.000 0.968 0.020 0.012
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 4 0.6801 0.19273 0.000 0.448 0.096 0.456
#> AA569A06-0F37-4492-93F3-60A4539A3E82 2 0.1557 0.86177 0.000 0.944 0.000 0.056
#> BC53FB75-94CA-48C3-875B-5987037D186F 2 0.0000 0.85938 0.000 1.000 0.000 0.000
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 1 0.0336 0.86973 0.992 0.000 0.000 0.008
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 2 0.0336 0.85685 0.000 0.992 0.008 0.000
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 2 0.1557 0.86112 0.000 0.944 0.000 0.056
#> DF67F589-A607-4B95-96B8-4BB344132312 2 0.3610 0.74901 0.000 0.800 0.000 0.200
#> A65233E6-C146-4ACF-8DDE-5FB12D8D9637 3 0.0000 0.98659 0.000 0.000 1.000 0.000
#> 7578C9A3-FFF8-45C4-AC28-1C6141A9A2AD 1 0.1022 0.86582 0.968 0.000 0.000 0.032
#> 4DF775B9-E2FE-4F5E-8329-C37E21C5D10E 1 0.1940 0.84062 0.924 0.000 0.000 0.076
#> 5E6B86C6-3D79-47BB-9FAF-CA22659CFEA7 1 0.0817 0.86868 0.976 0.000 0.000 0.024
#> 53286128-668B-47EA-9A5F-D768FDCCBE88 1 0.1867 0.81875 0.928 0.000 0.000 0.072
#> 01C9F351-97FE-4037-A879-9D96A3DD3FBB 4 0.7270 0.36947 0.000 0.304 0.176 0.520
#> 5487DB21-6A58-46AC-A2A1-E343082D41D8 1 0.4250 0.72280 0.724 0.000 0.000 0.276
#> 0FB3E997-4E31-4FA6-9654-11C3C0AF8D86 2 0.0000 0.85938 0.000 1.000 0.000 0.000
#> A0706E80-FDF9-4721-BEB4-90527F6D38C4 2 0.2032 0.82169 0.000 0.936 0.028 0.036
#> 5260226E-1826-4F54-8237-28993DD2EF04 3 0.0000 0.98659 0.000 0.000 1.000 0.000
#> F53F71A7-A399-49AB-8657-019C5C56F48C 2 0.2345 0.84767 0.000 0.900 0.000 0.100
#> 008159F2-5247-479A-8BFE-C394888D0B74 2 0.5047 0.70470 0.040 0.744 0.004 0.212
#> 9E6BA6FB-35F2-4510-94AE-3E7CDFED3D47 3 0.0000 0.98659 0.000 0.000 1.000 0.000
#> F12BE7AC-D2DD-4AD1-AB37-32DC85954F59 4 0.5100 0.66627 0.168 0.076 0.000 0.756
#> 38A6BA1F-B444-4155-A168-EC2DF0EE0785 1 0.4961 0.07031 0.552 0.000 0.000 0.448
#> B107D1DE-EE52-4E89-B75A-91124BFF99AE 3 0.1637 0.89368 0.000 0.060 0.940 0.000
#> D4D16D09-8895-4BEA-ABF7-F11C5D5BDCAA 1 0.4277 0.71926 0.720 0.000 0.000 0.280
#> 9A53C473-1364-4BB6-AD36-EF53E0208450 1 0.0000 0.87353 1.000 0.000 0.000 0.000
#> F00C0ED6-C811-4F32-BDB4-4ACA7861DC7D 2 0.1302 0.86284 0.000 0.956 0.000 0.044
#> 72618985-CD49-4B6F-8CB0-5EE590FAD09A 2 0.2149 0.85213 0.000 0.912 0.000 0.088
#> 978A315F-CCE9-4D03-A680-C0AD60B10557 2 0.1637 0.86085 0.000 0.940 0.000 0.060
#> B6EACAED-3944-4510-B685-0BB8D1651D4F 1 0.4304 0.71599 0.716 0.000 0.000 0.284
#> EBCF16B4-A804-45EB-8253-0F28A2645729 1 0.4072 0.74590 0.748 0.000 0.000 0.252
#> 637DC441-4A75-4DA8-8F65-91FDB5F103C7 4 0.5000 -0.32832 0.496 0.000 0.000 0.504
#> 89F67654-A246-4307-9B17-4A1C01DB1AED 2 0.0000 0.85938 0.000 1.000 0.000 0.000
#> 3A8EB57B-71ED-4169-A8EB-624C67CDBBE1 2 0.0000 0.85938 0.000 1.000 0.000 0.000
#> CC4DA9C6-CAB2-44FF-8219-D293ECD07DD4 1 0.0336 0.87190 0.992 0.000 0.000 0.008
#> AEC4FDAA-8F60-43CE-8EBB-5629FA662F16 2 0.1557 0.86112 0.000 0.944 0.000 0.056
#> BFC0D795-64F4-48B3-AD08-8C564E5E5367 1 0.0000 0.87353 1.000 0.000 0.000 0.000
#> 907BBBA4-4E7B-4808-892E-F80525C3CFA3 4 0.5160 0.66473 0.104 0.136 0.000 0.760
#> 7F21FA19-1468-4A65-A10A-A9727218A5EF 1 0.0000 0.87353 1.000 0.000 0.000 0.000
#> 905A026A-0B13-4AD3-B2BB-9A5AE76920AF 2 0.5949 0.52968 0.068 0.644 0.000 0.288
#> 6DDFC760-7BED-4A68-8DDA-9453D0FC9C1D 1 0.0000 0.87353 1.000 0.000 0.000 0.000
#> B3AFF323-BAAD-4512-A837-20C430EA39D1 1 0.4543 0.66379 0.676 0.000 0.000 0.324
#> 193E9034-42A2-4701-AA3E-2E852CA5C043 1 0.0000 0.87353 1.000 0.000 0.000 0.000
#> 8B6127D5-D3BB-4E17-914C-3ED1E2A52078 2 0.1389 0.86401 0.000 0.952 0.000 0.048
#> BD6E5E3C-DC43-4A85-84DF-84C68ABB851A 2 0.6329 0.38983 0.064 0.588 0.004 0.344
#> 881EACBD-B314-4A9E-A6DE-58DF9466AFB3 4 0.4784 0.66972 0.100 0.112 0.000 0.788
#> 195A6DF6-437D-4964-8872-C44F13E2CA4C 2 0.1557 0.86118 0.000 0.944 0.000 0.056
#> C40FD0B3-4773-490D-A342-B1CE8CC0A5BD 1 0.0000 0.87353 1.000 0.000 0.000 0.000
#> 613454BF-1A66-4DBB-90D0-246FC212DA4A 1 0.4193 0.73182 0.732 0.000 0.000 0.268
#> 5F121320-0F61-4BC0-BB69-F5C9A93BC118 1 0.0000 0.87353 1.000 0.000 0.000 0.000
#> E5637874-962B-4C43-8339-A6625D754DA8 2 0.6557 0.09809 0.076 0.476 0.000 0.448
#> 7614BF19-E3A2-492A-ABC0-557B274CA326 1 0.4790 0.58449 0.620 0.000 0.000 0.380
#> 6EB070B1-45C3-46DB-BFF9-6D9A137EC3A8 2 0.5327 0.65482 0.060 0.720 0.000 0.220
#> 873EEA1A-8AA1-4C83-B001-7BD64343ADE1 1 0.0000 0.87353 1.000 0.000 0.000 0.000
#> 2DCF0812-AC29-4BC2-8929-4D3D7B0F6335 2 0.1389 0.86396 0.000 0.952 0.000 0.048
#> 9391B623-4EC1-43A2-85EC-7B80BE87827D 1 0.4972 0.43388 0.544 0.000 0.000 0.456
#> 32A000F1-BAEA-41D2-AC75-02255A5BF2F2 4 0.5428 0.65741 0.088 0.164 0.004 0.744
#> 9C1016CE-3EAB-4FA7-806B-C8F6B08B4EA1 4 0.4019 0.64369 0.196 0.012 0.000 0.792
#> C7C4E75E-887F-4D11-9FDC-32292895A6B3 2 0.5879 0.57409 0.080 0.672 0.000 0.248
#> 54739A62-512F-499F-AFE1-B7C631B35272 1 0.0188 0.87301 0.996 0.000 0.000 0.004
#> 4476DF0E-6BB4-4682-BF59-E61071D4184E 1 0.0000 0.87353 1.000 0.000 0.000 0.000
#> DCCC6566-8A72-411D-B8F0-CC92B6D973AF 2 0.2589 0.83952 0.000 0.884 0.000 0.116
#> 781AEC2C-2604-4DAA-A55C-D07A305AF32E 4 0.4999 -0.31527 0.492 0.000 0.000 0.508
#> CB6BBA89-F467-4E0E-9DD1-04631E23D18C 1 0.2868 0.81977 0.864 0.000 0.000 0.136
#> 42E0E49F-0F6A-4787-87E8-E5CEA94822F9 2 0.0336 0.85685 0.000 0.992 0.008 0.000
#> B6466D8A-6CD3-4C90-B1FC-72EBDD93AE47 4 0.4982 0.67101 0.136 0.092 0.000 0.772
#> EEBC342F-80C7-428B-A69C-35962A8A0251 2 0.2124 0.81835 0.000 0.932 0.028 0.040
#> 38CB2DA4-D03B-4AAD-820E-B3475C52A945 2 0.3958 0.79151 0.032 0.824 0.000 0.144
#> E924E4B6-F88B-4F6B-B381-24D125C05D4F 3 0.0000 0.98659 0.000 0.000 1.000 0.000
#> C207F0D6-55B8-4353-8A7D-F1BA623BED96 1 0.4967 0.44303 0.548 0.000 0.000 0.452
#> 980CBBAE-2C02-4150-8BDB-B67713B6425C 3 0.0000 0.98659 0.000 0.000 1.000 0.000
#> 2E2A42A8-50A7-4409-8504-949A2B8A46A6 1 0.2081 0.84019 0.916 0.000 0.000 0.084
#> 65B6391B-3178-4AB3-9AA8-2FFAC5491988 2 0.0895 0.86337 0.000 0.976 0.004 0.020
#> 78EEB2C7-4B64-4CB0-9C94-E2AC46A75237 4 0.4379 0.65783 0.172 0.036 0.000 0.792
#> 4F05A349-3B06-425C-A8CC-63C1B23A3D65 1 0.0000 0.87353 1.000 0.000 0.000 0.000
#> 1CE1B4DB-1F7B-4F30-BAA1-E0252199F05B 2 0.5364 0.41654 0.000 0.652 0.028 0.320
#> 05FAAE20-A94E-41FA-B6B6-7DDCFB4F9657 1 0.2216 0.80343 0.908 0.000 0.000 0.092
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#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.0000 0.87353 1.000 0.000 0.000 0.000
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.3219 0.79563 0.000 0.836 0.000 0.164
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0000 0.87353 1.000 0.000 0.000 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.1302 0.86313 0.000 0.956 0.000 0.044
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 1 0.4967 0.44303 0.548 0.000 0.000 0.452
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.0895 0.85122 0.000 0.976 0.020 0.004
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.0000 0.87353 1.000 0.000 0.000 0.000
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.1792 0.84979 0.000 0.932 0.000 0.068
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.1118 0.86436 0.964 0.000 0.000 0.036
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.87353 1.000 0.000 0.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.0921 0.86414 0.000 0.972 0.000 0.028
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.4564 0.67103 0.672 0.000 0.000 0.328
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.0469 0.86195 0.000 0.988 0.000 0.012
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.98659 0.000 0.000 1.000 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 4 0.7270 0.36777 0.000 0.332 0.164 0.504
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 4 0.7590 0.30708 0.000 0.272 0.248 0.480
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 4 0.3933 0.64093 0.200 0.008 0.000 0.792
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.1792 0.85903 0.000 0.932 0.000 0.068
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.0895 0.86017 0.000 0.976 0.004 0.020
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.0000 0.85938 0.000 1.000 0.000 0.000
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.2408 0.84712 0.000 0.896 0.000 0.104
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.87353 1.000 0.000 0.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0336 0.87242 0.992 0.000 0.000 0.008
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.0000 0.87353 1.000 0.000 0.000 0.000
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0000 0.87353 1.000 0.000 0.000 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.2124 0.81835 0.000 0.932 0.028 0.040
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.1474 0.86176 0.000 0.948 0.000 0.052
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.1022 0.86581 0.968 0.000 0.000 0.032
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.0000 0.85938 0.000 1.000 0.000 0.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.0000 0.87353 1.000 0.000 0.000 0.000
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.0000 0.87353 1.000 0.000 0.000 0.000
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.98659 0.000 0.000 1.000 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.0000 0.87353 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
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.83458 1.000 0.000 0.000 0.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.97123 0.000 0.000 1.000 0.000 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.1908 0.78668 0.908 0.000 0.000 0.000 0.092
#> 85252141-5469-4F68-8F3F-934F8B3277E5 4 0.5644 0.20366 0.316 0.000 0.000 0.584 0.100
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.3119 0.76145 0.860 0.000 0.000 0.068 0.072
#> 1B76089D-785F-4353-A898-4E632023D482 5 0.4418 0.75481 0.332 0.000 0.000 0.016 0.652
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 4 0.1357 0.73974 0.000 0.048 0.000 0.948 0.004
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 4 0.2722 0.71705 0.000 0.108 0.000 0.872 0.020
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.4147 0.33722 0.676 0.000 0.000 0.008 0.316
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 4 0.2171 0.68815 0.064 0.000 0.000 0.912 0.024
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.5598 0.23841 0.524 0.000 0.000 0.400 0.076
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 2 0.7344 0.39572 0.000 0.512 0.080 0.156 0.252
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.83458 1.000 0.000 0.000 0.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 2 0.4948 0.65399 0.000 0.700 0.004 0.072 0.224
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 4 0.1357 0.73961 0.000 0.048 0.000 0.948 0.004
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.2629 0.73587 0.000 0.860 0.000 0.136 0.004
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.2300 0.79540 0.908 0.000 0.000 0.052 0.040
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0162 0.83423 0.996 0.000 0.000 0.000 0.004
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 5 0.5223 0.78889 0.220 0.000 0.000 0.108 0.672
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0404 0.83424 0.988 0.000 0.000 0.000 0.012
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 4 0.4786 0.47995 0.188 0.000 0.000 0.720 0.092
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.4438 0.65415 0.000 0.732 0.004 0.040 0.224
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 4 0.5925 0.46933 0.000 0.188 0.000 0.596 0.216
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 5 0.4283 0.58345 0.456 0.000 0.000 0.000 0.544
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 4 0.4564 0.36857 0.004 0.388 0.000 0.600 0.008
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 1 0.2522 0.77951 0.880 0.000 0.000 0.012 0.108
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.4364 0.68248 0.000 0.736 0.000 0.048 0.216
#> 375FE390-434B-41D3-9029-84065B1D7B6F 4 0.0798 0.72867 0.000 0.016 0.000 0.976 0.008
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.1121 0.81687 0.956 0.000 0.000 0.000 0.044
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.0404 0.74021 0.000 0.988 0.000 0.012 0.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.5759 0.65647 0.000 0.616 0.000 0.160 0.224
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.3935 0.68099 0.000 0.772 0.004 0.024 0.200
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.0703 0.73079 0.000 0.976 0.000 0.024 0.000
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 5 0.4836 0.77330 0.304 0.000 0.000 0.044 0.652
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 2 0.4644 0.64423 0.000 0.720 0.004 0.052 0.224
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 2 0.4276 0.36151 0.000 0.616 0.000 0.380 0.004
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 5 0.4182 0.73180 0.352 0.000 0.000 0.004 0.644
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0000 0.97123 0.000 0.000 1.000 0.000 0.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 5 0.4375 0.62742 0.420 0.000 0.000 0.004 0.576
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.0000 0.97123 0.000 0.000 1.000 0.000 0.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 4 0.6101 0.37160 0.000 0.284 0.000 0.552 0.164
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.0000 0.97123 0.000 0.000 1.000 0.000 0.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.0000 0.97123 0.000 0.000 1.000 0.000 0.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 5 0.5288 0.79296 0.244 0.000 0.000 0.100 0.656
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 4 0.1211 0.71468 0.024 0.000 0.000 0.960 0.016
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.4440 -0.41397 0.528 0.000 0.000 0.004 0.468
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 2 0.3146 0.71542 0.000 0.844 0.000 0.028 0.128
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 5 0.4891 0.76689 0.316 0.000 0.000 0.044 0.640
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.0290 0.83384 0.992 0.000 0.000 0.000 0.008
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 4 0.4507 0.31671 0.004 0.412 0.000 0.580 0.004
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.5546 0.67649 0.000 0.648 0.000 0.180 0.172
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 4 0.1310 0.72856 0.000 0.024 0.000 0.956 0.020
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.0000 0.97123 0.000 0.000 1.000 0.000 0.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.1915 0.81260 0.928 0.000 0.000 0.032 0.040
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 2 0.3766 0.59697 0.000 0.728 0.000 0.268 0.004
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 2 0.6615 0.17216 0.000 0.408 0.000 0.376 0.216
#> 208165C0-229B-49E2-A22A-575CA3157C9E 4 0.3353 0.64871 0.000 0.196 0.000 0.796 0.008
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 5 0.5420 0.22083 0.060 0.000 0.000 0.416 0.524
#> 01397021-8495-4D89-885A-166B4DBA0122 3 0.0000 0.97123 0.000 0.000 1.000 0.000 0.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 3 0.0000 0.97123 0.000 0.000 1.000 0.000 0.000
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.3814 0.38345 0.720 0.000 0.000 0.004 0.276
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 2 0.6622 0.27650 0.000 0.416 0.000 0.364 0.220
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 2 0.0865 0.72984 0.000 0.972 0.004 0.024 0.000
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 2 0.7175 0.34732 0.000 0.484 0.052 0.152 0.312
#> AA569A06-0F37-4492-93F3-60A4539A3E82 2 0.2763 0.72494 0.000 0.848 0.000 0.148 0.004
#> BC53FB75-94CA-48C3-875B-5987037D186F 2 0.0794 0.73317 0.000 0.972 0.000 0.028 0.000
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 1 0.1549 0.81394 0.944 0.000 0.000 0.040 0.016
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 2 0.1106 0.73140 0.000 0.964 0.000 0.024 0.012
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 2 0.2286 0.74292 0.000 0.888 0.000 0.108 0.004
#> DF67F589-A607-4B95-96B8-4BB344132312 2 0.5664 0.66675 0.000 0.628 0.000 0.152 0.220
#> A65233E6-C146-4ACF-8DDE-5FB12D8D9637 3 0.0000 0.97123 0.000 0.000 1.000 0.000 0.000
#> 7578C9A3-FFF8-45C4-AC28-1C6141A9A2AD 1 0.1410 0.79659 0.940 0.000 0.000 0.000 0.060
#> 4DF775B9-E2FE-4F5E-8329-C37E21C5D10E 1 0.5882 0.18652 0.588 0.000 0.000 0.148 0.264
#> 5E6B86C6-3D79-47BB-9FAF-CA22659CFEA7 1 0.4035 0.65756 0.784 0.000 0.000 0.060 0.156
#> 53286128-668B-47EA-9A5F-D768FDCCBE88 1 0.4482 0.63628 0.752 0.000 0.000 0.160 0.088
#> 01C9F351-97FE-4037-A879-9D96A3DD3FBB 2 0.8199 0.13179 0.000 0.352 0.160 0.160 0.328
#> 5487DB21-6A58-46AC-A2A1-E343082D41D8 5 0.4166 0.73575 0.348 0.000 0.000 0.004 0.648
#> 0FB3E997-4E31-4FA6-9654-11C3C0AF8D86 2 0.1704 0.75002 0.000 0.928 0.000 0.068 0.004
#> A0706E80-FDF9-4721-BEB4-90527F6D38C4 2 0.0865 0.72984 0.000 0.972 0.004 0.024 0.000
#> 5260226E-1826-4F54-8237-28993DD2EF04 3 0.0000 0.97123 0.000 0.000 1.000 0.000 0.000
#> F53F71A7-A399-49AB-8657-019C5C56F48C 2 0.4047 0.50882 0.000 0.676 0.000 0.320 0.004
#> 008159F2-5247-479A-8BFE-C394888D0B74 4 0.6561 0.09681 0.000 0.332 0.000 0.452 0.216
#> 9E6BA6FB-35F2-4510-94AE-3E7CDFED3D47 3 0.0000 0.97123 0.000 0.000 1.000 0.000 0.000
#> F12BE7AC-D2DD-4AD1-AB37-32DC85954F59 4 0.1710 0.73186 0.020 0.024 0.000 0.944 0.012
#> 38A6BA1F-B444-4155-A168-EC2DF0EE0785 1 0.6700 -0.08028 0.416 0.000 0.000 0.332 0.252
#> B107D1DE-EE52-4E89-B75A-91124BFF99AE 3 0.2616 0.82041 0.000 0.100 0.880 0.000 0.020
#> D4D16D09-8895-4BEA-ABF7-F11C5D5BDCAA 5 0.4508 0.75508 0.332 0.000 0.000 0.020 0.648
#> 9A53C473-1364-4BB6-AD36-EF53E0208450 1 0.0671 0.82833 0.980 0.000 0.000 0.016 0.004
#> F00C0ED6-C811-4F32-BDB4-4ACA7861DC7D 2 0.2439 0.73756 0.000 0.876 0.000 0.120 0.004
#> 72618985-CD49-4B6F-8CB0-5EE590FAD09A 2 0.3366 0.67081 0.000 0.784 0.000 0.212 0.004
#> 978A315F-CCE9-4D03-A680-C0AD60B10557 2 0.3578 0.74277 0.000 0.820 0.000 0.132 0.048
#> B6EACAED-3944-4510-B685-0BB8D1651D4F 5 0.5263 0.79267 0.240 0.000 0.000 0.100 0.660
#> EBCF16B4-A804-45EB-8253-0F28A2645729 5 0.4671 0.75317 0.332 0.000 0.000 0.028 0.640
#> 637DC441-4A75-4DA8-8F65-91FDB5F103C7 5 0.5243 0.76974 0.188 0.000 0.000 0.132 0.680
#> 89F67654-A246-4307-9B17-4A1C01DB1AED 2 0.1041 0.74472 0.000 0.964 0.000 0.032 0.004
#> 3A8EB57B-71ED-4169-A8EB-624C67CDBBE1 2 0.2358 0.74652 0.000 0.888 0.000 0.104 0.008
#> CC4DA9C6-CAB2-44FF-8219-D293ECD07DD4 1 0.2605 0.74072 0.852 0.000 0.000 0.000 0.148
#> AEC4FDAA-8F60-43CE-8EBB-5629FA662F16 2 0.2583 0.73280 0.000 0.864 0.000 0.132 0.004
#> BFC0D795-64F4-48B3-AD08-8C564E5E5367 1 0.0609 0.83131 0.980 0.000 0.000 0.000 0.020
#> 907BBBA4-4E7B-4808-892E-F80525C3CFA3 4 0.1059 0.73358 0.008 0.020 0.000 0.968 0.004
#> 7F21FA19-1468-4A65-A10A-A9727218A5EF 1 0.0794 0.82913 0.972 0.000 0.000 0.000 0.028
#> 905A026A-0B13-4AD3-B2BB-9A5AE76920AF 4 0.4781 0.63182 0.000 0.160 0.000 0.728 0.112
#> 6DDFC760-7BED-4A68-8DDA-9453D0FC9C1D 1 0.0000 0.83458 1.000 0.000 0.000 0.000 0.000
#> B3AFF323-BAAD-4512-A837-20C430EA39D1 5 0.6763 0.38519 0.276 0.000 0.000 0.332 0.392
#> 193E9034-42A2-4701-AA3E-2E852CA5C043 1 0.0000 0.83458 1.000 0.000 0.000 0.000 0.000
#> 8B6127D5-D3BB-4E17-914C-3ED1E2A52078 2 0.2583 0.73410 0.000 0.864 0.000 0.132 0.004
#> BD6E5E3C-DC43-4A85-84DF-84C68ABB851A 4 0.5478 0.57930 0.000 0.180 0.000 0.656 0.164
#> 881EACBD-B314-4A9E-A6DE-58DF9466AFB3 4 0.0992 0.73018 0.000 0.024 0.000 0.968 0.008
#> 195A6DF6-437D-4964-8872-C44F13E2CA4C 2 0.2629 0.73196 0.000 0.860 0.000 0.136 0.004
#> C40FD0B3-4773-490D-A342-B1CE8CC0A5BD 1 0.1774 0.81510 0.932 0.000 0.000 0.016 0.052
#> 613454BF-1A66-4DBB-90D0-246FC212DA4A 5 0.5316 0.78158 0.284 0.000 0.000 0.084 0.632
#> 5F121320-0F61-4BC0-BB69-F5C9A93BC118 1 0.0000 0.83458 1.000 0.000 0.000 0.000 0.000
#> E5637874-962B-4C43-8339-A6625D754DA8 4 0.2574 0.71790 0.000 0.112 0.000 0.876 0.012
#> 7614BF19-E3A2-492A-ABC0-557B274CA326 5 0.5277 0.78985 0.228 0.000 0.000 0.108 0.664
#> 6EB070B1-45C3-46DB-BFF9-6D9A137EC3A8 4 0.4196 0.40735 0.000 0.356 0.000 0.640 0.004
#> 873EEA1A-8AA1-4C83-B001-7BD64343ADE1 1 0.0609 0.83317 0.980 0.000 0.000 0.000 0.020
#> 2DCF0812-AC29-4BC2-8929-4D3D7B0F6335 2 0.2864 0.73555 0.000 0.852 0.000 0.136 0.012
#> 9391B623-4EC1-43A2-85EC-7B80BE87827D 5 0.5222 0.77602 0.196 0.000 0.000 0.124 0.680
#> 32A000F1-BAEA-41D2-AC75-02255A5BF2F2 4 0.2790 0.72850 0.000 0.068 0.000 0.880 0.052
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#> 730CA517-8503-4D09-A579-1D2BC4E791C5 2 0.2424 0.73513 0.000 0.868 0.000 0.132 0.000
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 4 0.6625 -0.03242 0.000 0.368 0.000 0.412 0.220
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 1 0.3840 0.70893 0.808 0.000 0.000 0.116 0.076
#> A3343F40-F977-4F9B-856A-28781F10F4CD 2 0.2074 0.74411 0.000 0.896 0.000 0.104 0.000
#> DA144299-5541-47D7-A59E-C92896DF08FC 5 0.6296 0.35099 0.408 0.000 0.000 0.152 0.440
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 2 0.2136 0.74962 0.000 0.904 0.000 0.088 0.008
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.0000 0.83458 1.000 0.000 0.000 0.000 0.000
#> 617447CF-9327-4062-B22C-71A8944C948F 2 0.3575 0.74531 0.000 0.824 0.000 0.120 0.056
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0865 0.82987 0.972 0.000 0.000 0.004 0.024
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 2 0.4879 0.71778 0.000 0.720 0.000 0.124 0.156
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.2067 0.80243 0.920 0.000 0.000 0.048 0.032
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.5102 0.70093 0.000 0.684 0.000 0.100 0.216
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.0162 0.83396 0.996 0.000 0.000 0.000 0.004
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 3 0.0000 0.97123 0.000 0.000 1.000 0.000 0.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 2 0.6147 0.56103 0.000 0.556 0.000 0.256 0.188
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 5 0.8387 -0.31620 0.000 0.196 0.304 0.172 0.328
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.5202 0.15298 0.596 0.000 0.000 0.056 0.348
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 5 0.6009 0.73036 0.240 0.000 0.000 0.180 0.580
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.2795 0.75213 0.000 0.872 0.000 0.100 0.028
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 1 0.1671 0.80445 0.924 0.000 0.000 0.000 0.076
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.1671 0.79196 0.924 0.000 0.000 0.000 0.076
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 2 0.6950 0.43980 0.000 0.544 0.052 0.152 0.252
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 2 0.4378 0.65946 0.000 0.740 0.004 0.040 0.216
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 5 0.4339 0.75074 0.336 0.000 0.000 0.012 0.652
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 5 0.5270 0.78341 0.208 0.000 0.000 0.120 0.672
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.0162 0.83423 0.996 0.000 0.000 0.000 0.004
#> DA1301D3-1F84-46C5-AB44-079493A81A51 1 0.2891 0.70527 0.824 0.000 0.000 0.000 0.176
#> A12B1681-B598-40C3-80FE-1801F3F1189D 1 0.1469 0.82786 0.948 0.000 0.000 0.016 0.036
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 2 0.4420 0.17044 0.000 0.548 0.000 0.448 0.004
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 4 0.1082 0.73118 0.000 0.028 0.000 0.964 0.008
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.2020 0.74508 0.000 0.900 0.000 0.100 0.000
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 4 0.4624 0.62568 0.000 0.144 0.000 0.744 0.112
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 5 0.4339 0.74884 0.336 0.000 0.000 0.012 0.652
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.3810 0.74928 0.000 0.812 0.000 0.100 0.088
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.3085 0.74142 0.000 0.852 0.000 0.032 0.116
#> 1D0379B1-0E99-4E6D-B890-907C92860654 4 0.0798 0.72867 0.000 0.016 0.000 0.976 0.008
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.2179 0.74472 0.000 0.896 0.000 0.100 0.004
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 4 0.4546 0.49335 0.000 0.304 0.000 0.668 0.028
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 4 0.5847 0.44552 0.000 0.264 0.000 0.592 0.144
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0566 0.83028 0.984 0.000 0.000 0.012 0.004
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.4024 0.67062 0.000 0.752 0.000 0.028 0.220
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.0162 0.83396 0.996 0.000 0.000 0.000 0.004
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.5628 0.66891 0.000 0.632 0.000 0.148 0.220
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0579 0.83447 0.984 0.000 0.000 0.008 0.008
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.5079 0.71891 0.000 0.700 0.000 0.136 0.164
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 5 0.5240 0.78737 0.216 0.000 0.000 0.112 0.672
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.3993 0.67089 0.000 0.756 0.000 0.028 0.216
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.2773 0.71760 0.836 0.000 0.000 0.000 0.164
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.5792 0.65277 0.000 0.612 0.000 0.164 0.224
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.1430 0.80438 0.944 0.000 0.000 0.004 0.052
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.83458 1.000 0.000 0.000 0.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.2583 0.73340 0.000 0.864 0.000 0.132 0.004
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 5 0.5725 0.76015 0.224 0.000 0.000 0.156 0.620
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.3993 0.67995 0.000 0.756 0.000 0.028 0.216
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.97123 0.000 0.000 1.000 0.000 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 2 0.8140 0.14964 0.000 0.360 0.156 0.152 0.332
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 2 0.8167 0.21986 0.000 0.400 0.180 0.152 0.268
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 4 0.2388 0.66363 0.072 0.000 0.000 0.900 0.028
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.2825 0.74314 0.000 0.860 0.000 0.124 0.016
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.4178 0.66743 0.000 0.748 0.004 0.028 0.220
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.0324 0.74053 0.000 0.992 0.000 0.004 0.004
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.4819 0.71524 0.000 0.724 0.000 0.164 0.112
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.83458 1.000 0.000 0.000 0.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0404 0.83324 0.988 0.000 0.000 0.000 0.012
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.0703 0.82883 0.976 0.000 0.000 0.000 0.024
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0162 0.83396 0.996 0.000 0.000 0.000 0.004
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.3684 0.69542 0.000 0.800 0.004 0.024 0.172
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.2179 0.74185 0.000 0.888 0.000 0.112 0.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.2305 0.78990 0.896 0.000 0.000 0.012 0.092
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.2136 0.74941 0.000 0.904 0.000 0.088 0.008
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.1205 0.82480 0.956 0.000 0.000 0.004 0.040
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.0162 0.83396 0.996 0.000 0.000 0.000 0.004
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.97123 0.000 0.000 1.000 0.000 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.0510 0.83383 0.984 0.000 0.000 0.000 0.016
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0260 0.84143 0.992 0.000 0.000 0.000 0.008 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.95357 0.000 0.000 1.000 0.000 0.000 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.2234 0.79493 0.872 0.000 0.000 0.000 0.124 0.004
#> 85252141-5469-4F68-8F3F-934F8B3277E5 4 0.5509 0.39775 0.200 0.000 0.000 0.636 0.132 0.032
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.2870 0.80386 0.856 0.000 0.000 0.040 0.100 0.004
#> 1B76089D-785F-4353-A898-4E632023D482 5 0.1970 0.84695 0.092 0.000 0.000 0.000 0.900 0.008
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 4 0.1802 0.68034 0.000 0.012 0.000 0.916 0.000 0.072
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 4 0.1858 0.67434 0.000 0.004 0.000 0.904 0.000 0.092
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.3986 0.37817 0.608 0.000 0.000 0.004 0.384 0.004
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 4 0.3948 0.64274 0.076 0.004 0.000 0.804 0.028 0.088
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.4567 0.50233 0.616 0.000 0.000 0.332 0.052 0.000
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 6 0.5855 0.52552 0.000 0.312 0.104 0.028 0.004 0.552
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.84048 1.000 0.000 0.000 0.000 0.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 2 0.4147 -0.18026 0.000 0.552 0.000 0.012 0.000 0.436
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 4 0.1471 0.68061 0.000 0.004 0.000 0.932 0.000 0.064
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.2744 0.59192 0.000 0.864 0.000 0.064 0.000 0.072
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.2070 0.82501 0.908 0.000 0.000 0.048 0.044 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0458 0.84213 0.984 0.000 0.000 0.000 0.016 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 5 0.2586 0.84312 0.080 0.000 0.000 0.008 0.880 0.032
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0713 0.84244 0.972 0.000 0.000 0.000 0.028 0.000
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 4 0.2575 0.65888 0.076 0.000 0.000 0.884 0.020 0.020
#> 83453F80-8A68-4A3C-995D-85CFB1011249 6 0.3975 0.41389 0.000 0.452 0.000 0.000 0.004 0.544
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 4 0.5421 0.34384 0.000 0.136 0.000 0.536 0.000 0.328
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 5 0.3514 0.76296 0.228 0.000 0.000 0.000 0.752 0.020
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 4 0.4641 0.52639 0.000 0.248 0.000 0.664 0.000 0.088
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 1 0.2996 0.71228 0.772 0.000 0.000 0.000 0.228 0.000
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.4594 -0.20420 0.000 0.488 0.000 0.036 0.000 0.476
#> 375FE390-434B-41D3-9029-84065B1D7B6F 4 0.1644 0.67897 0.000 0.004 0.000 0.920 0.000 0.076
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.1802 0.82823 0.916 0.000 0.000 0.012 0.072 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.1204 0.57665 0.000 0.944 0.000 0.000 0.000 0.056
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.4237 -0.05810 0.000 0.584 0.000 0.020 0.000 0.396
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.3817 -0.13473 0.000 0.568 0.000 0.000 0.000 0.432
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.1700 0.56542 0.000 0.916 0.000 0.004 0.000 0.080
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 5 0.1949 0.84788 0.088 0.000 0.000 0.004 0.904 0.004
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 2 0.3979 -0.21616 0.000 0.540 0.000 0.004 0.000 0.456
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 4 0.5296 0.12812 0.000 0.448 0.000 0.452 0.000 0.100
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 5 0.1970 0.84695 0.092 0.000 0.000 0.000 0.900 0.008
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0000 0.95357 0.000 0.000 1.000 0.000 0.000 0.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 5 0.3969 0.56263 0.344 0.000 0.000 0.008 0.644 0.004
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.0260 0.95128 0.000 0.000 0.992 0.000 0.000 0.008
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 4 0.5686 0.23695 0.000 0.164 0.000 0.472 0.000 0.364
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.1700 0.94772 0.000 0.000 0.916 0.004 0.000 0.080
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.0000 0.95357 0.000 0.000 1.000 0.000 0.000 0.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 5 0.1812 0.84714 0.080 0.000 0.000 0.008 0.912 0.000
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 4 0.2308 0.66508 0.000 0.004 0.000 0.880 0.008 0.108
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 5 0.4260 0.31869 0.472 0.000 0.000 0.000 0.512 0.016
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 2 0.4277 0.13154 0.000 0.616 0.000 0.028 0.000 0.356
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 5 0.2432 0.84459 0.100 0.000 0.000 0.024 0.876 0.000
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.0790 0.83890 0.968 0.000 0.000 0.000 0.032 0.000
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 4 0.4680 0.51163 0.000 0.264 0.000 0.652 0.000 0.084
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.6024 -0.19812 0.000 0.416 0.000 0.256 0.000 0.328
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 4 0.3396 0.65944 0.000 0.016 0.000 0.828 0.048 0.108
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.1471 0.95297 0.000 0.000 0.932 0.004 0.000 0.064
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.2066 0.82650 0.904 0.000 0.000 0.024 0.072 0.000
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 2 0.5082 0.26043 0.000 0.572 0.000 0.332 0.000 0.096
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 4 0.5899 -0.08140 0.000 0.208 0.000 0.432 0.000 0.360
#> 208165C0-229B-49E2-A22A-575CA3157C9E 4 0.2560 0.66973 0.000 0.036 0.000 0.872 0.000 0.092
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 5 0.6503 0.11723 0.028 0.000 0.000 0.280 0.440 0.252
#> 01397021-8495-4D89-885A-166B4DBA0122 3 0.0000 0.95357 0.000 0.000 1.000 0.000 0.000 0.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 3 0.1471 0.95297 0.000 0.000 0.932 0.004 0.000 0.064
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.3955 0.08307 0.560 0.000 0.000 0.004 0.436 0.000
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 4 0.6120 -0.34249 0.000 0.304 0.000 0.352 0.000 0.344
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 2 0.1970 0.55391 0.000 0.900 0.000 0.008 0.000 0.092
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 6 0.5846 0.48497 0.000 0.400 0.000 0.052 0.064 0.484
#> AA569A06-0F37-4492-93F3-60A4539A3E82 2 0.3925 0.46069 0.000 0.744 0.000 0.200 0.000 0.056
#> BC53FB75-94CA-48C3-875B-5987037D186F 2 0.1644 0.56271 0.000 0.920 0.000 0.004 0.000 0.076
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 1 0.2629 0.80769 0.872 0.000 0.000 0.068 0.060 0.000
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 2 0.2234 0.54529 0.000 0.872 0.000 0.004 0.000 0.124
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 2 0.2309 0.57718 0.000 0.888 0.000 0.084 0.000 0.028
#> DF67F589-A607-4B95-96B8-4BB344132312 2 0.4283 -0.01129 0.000 0.592 0.000 0.024 0.000 0.384
#> A65233E6-C146-4ACF-8DDE-5FB12D8D9637 3 0.1471 0.95297 0.000 0.000 0.932 0.004 0.000 0.064
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#> 926C657E-2BCD-4D54-B954-7F7273DA601D 4 0.5179 0.28258 0.000 0.392 0.000 0.516 0.000 0.092
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 4 0.3003 0.67081 0.000 0.028 0.000 0.852 0.016 0.104
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#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 4 0.5788 0.53716 0.000 0.084 0.000 0.624 0.084 0.208
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#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.2933 0.42552 0.000 0.796 0.000 0.004 0.000 0.200
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#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.0820 0.59965 0.000 0.972 0.000 0.012 0.000 0.016
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 4 0.4442 0.58902 0.000 0.120 0.000 0.712 0.000 0.168
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 4 0.5939 0.02162 0.000 0.216 0.000 0.412 0.000 0.372
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.1007 0.82283 0.956 0.000 0.000 0.044 0.000 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.5175 -0.23871 0.000 0.492 0.000 0.088 0.000 0.420
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#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.4409 0.00186 0.000 0.588 0.000 0.032 0.000 0.380
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.1075 0.83805 0.952 0.000 0.000 0.000 0.048 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.5219 0.21756 0.000 0.568 0.000 0.116 0.000 0.316
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 5 0.2056 0.84596 0.080 0.000 0.000 0.012 0.904 0.004
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.4086 -0.23572 0.000 0.528 0.000 0.008 0.000 0.464
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.3782 0.33879 0.588 0.000 0.000 0.000 0.412 0.000
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#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0146 0.84122 0.996 0.000 0.000 0.000 0.004 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.2897 0.57495 0.000 0.852 0.000 0.088 0.000 0.060
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 5 0.4643 0.68144 0.184 0.000 0.000 0.128 0.688 0.000
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.5452 -0.24142 0.000 0.444 0.000 0.120 0.000 0.436
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.95357 0.000 0.000 1.000 0.000 0.000 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 6 0.6470 0.51012 0.000 0.268 0.052 0.052 0.064 0.564
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 6 0.5679 0.53601 0.000 0.328 0.088 0.024 0.004 0.556
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 4 0.3557 0.64491 0.000 0.004 0.000 0.800 0.056 0.140
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.2812 0.57848 0.000 0.856 0.000 0.048 0.000 0.096
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.4318 -0.23250 0.000 0.532 0.000 0.020 0.000 0.448
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.1714 0.56930 0.000 0.908 0.000 0.000 0.000 0.092
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.5108 0.29516 0.000 0.628 0.000 0.208 0.000 0.164
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0260 0.84164 0.992 0.000 0.000 0.000 0.008 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.1075 0.83463 0.952 0.000 0.000 0.000 0.048 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.2562 0.75246 0.828 0.000 0.000 0.000 0.172 0.000
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0146 0.84135 0.996 0.000 0.000 0.000 0.004 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.3717 0.07070 0.000 0.616 0.000 0.000 0.000 0.384
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.1367 0.59793 0.000 0.944 0.000 0.044 0.000 0.012
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.2266 0.81189 0.880 0.000 0.000 0.012 0.108 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.1088 0.59778 0.000 0.960 0.000 0.016 0.000 0.024
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.1141 0.83487 0.948 0.000 0.000 0.000 0.052 0.000
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.0000 0.84048 1.000 0.000 0.000 0.000 0.000 0.000
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.95357 0.000 0.000 1.000 0.000 0.000 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.1007 0.83940 0.956 0.000 0.000 0.000 0.044 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 17654 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'CV' method.
#> Subgroups are detected by 'NMF' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 3.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.966 0.986 0.4988 0.502 0.502
#> 3 3 0.967 0.945 0.978 0.2535 0.821 0.662
#> 4 4 0.750 0.778 0.879 0.1291 0.893 0.729
#> 5 5 0.732 0.700 0.812 0.0770 0.901 0.691
#> 6 6 0.730 0.426 0.718 0.0564 0.888 0.607
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
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.9888 1.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 2 0.0000 0.9837 0.000 1.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.0000 0.9888 1.000 0.000
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.0000 0.9888 1.000 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.0000 0.9888 1.000 0.000
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.0000 0.9888 1.000 0.000
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 2 0.8955 0.5492 0.312 0.688
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 2 0.5294 0.8573 0.120 0.880
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.0000 0.9888 1.000 0.000
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 1 0.0000 0.9888 1.000 0.000
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.0000 0.9888 1.000 0.000
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 2 0.0000 0.9837 0.000 1.000
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.9888 1.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 2 0.0000 0.9837 0.000 1.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 1 0.0000 0.9888 1.000 0.000
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.0000 0.9837 0.000 1.000
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0000 0.9888 1.000 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.9888 1.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 1 0.3733 0.9171 0.928 0.072
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0000 0.9888 1.000 0.000
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 1 0.0000 0.9888 1.000 0.000
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.0000 0.9837 0.000 1.000
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 2 0.0000 0.9837 0.000 1.000
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0000 0.9888 1.000 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 2 0.0000 0.9837 0.000 1.000
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 1 0.0000 0.9888 1.000 0.000
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.0000 0.9837 0.000 1.000
#> 375FE390-434B-41D3-9029-84065B1D7B6F 2 0.1184 0.9692 0.016 0.984
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 0.9888 1.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.0000 0.9837 0.000 1.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.0000 0.9837 0.000 1.000
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.0000 0.9837 0.000 1.000
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.0000 0.9837 0.000 1.000
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.0000 0.9888 1.000 0.000
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 2 0.0000 0.9837 0.000 1.000
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 2 0.0000 0.9837 0.000 1.000
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 1 0.0000 0.9888 1.000 0.000
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 2 0.0000 0.9837 0.000 1.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.0000 0.9888 1.000 0.000
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 2 0.0000 0.9837 0.000 1.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 2 0.0000 0.9837 0.000 1.000
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 2 0.0000 0.9837 0.000 1.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 2 0.0000 0.9837 0.000 1.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 1 0.0000 0.9888 1.000 0.000
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 1 0.3114 0.9350 0.944 0.056
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.0000 0.9888 1.000 0.000
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 2 0.0000 0.9837 0.000 1.000
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 1 0.0000 0.9888 1.000 0.000
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.0000 0.9888 1.000 0.000
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 2 0.0000 0.9837 0.000 1.000
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.0000 0.9837 0.000 1.000
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 1 0.7056 0.7628 0.808 0.192
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 2 0.0000 0.9837 0.000 1.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.0000 0.9888 1.000 0.000
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 2 0.0000 0.9837 0.000 1.000
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 2 0.0000 0.9837 0.000 1.000
#> 208165C0-229B-49E2-A22A-575CA3157C9E 2 0.9988 0.0866 0.480 0.520
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 1 0.0000 0.9888 1.000 0.000
#> 01397021-8495-4D89-885A-166B4DBA0122 2 0.0000 0.9837 0.000 1.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 2 0.0000 0.9837 0.000 1.000
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.0000 0.9888 1.000 0.000
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 2 0.0000 0.9837 0.000 1.000
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 2 0.0000 0.9837 0.000 1.000
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 2 0.0000 0.9837 0.000 1.000
#> AA569A06-0F37-4492-93F3-60A4539A3E82 2 0.0000 0.9837 0.000 1.000
#> BC53FB75-94CA-48C3-875B-5987037D186F 2 0.0000 0.9837 0.000 1.000
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 1 0.0000 0.9888 1.000 0.000
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 2 0.0000 0.9837 0.000 1.000
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 2 0.0000 0.9837 0.000 1.000
#> DF67F589-A607-4B95-96B8-4BB344132312 2 0.0000 0.9837 0.000 1.000
#> A65233E6-C146-4ACF-8DDE-5FB12D8D9637 2 0.0000 0.9837 0.000 1.000
#> 7578C9A3-FFF8-45C4-AC28-1C6141A9A2AD 1 0.0000 0.9888 1.000 0.000
#> 4DF775B9-E2FE-4F5E-8329-C37E21C5D10E 1 0.0000 0.9888 1.000 0.000
#> 5E6B86C6-3D79-47BB-9FAF-CA22659CFEA7 1 0.0000 0.9888 1.000 0.000
#> 53286128-668B-47EA-9A5F-D768FDCCBE88 1 0.0000 0.9888 1.000 0.000
#> 01C9F351-97FE-4037-A879-9D96A3DD3FBB 2 0.0000 0.9837 0.000 1.000
#> 5487DB21-6A58-46AC-A2A1-E343082D41D8 1 0.0000 0.9888 1.000 0.000
#> 0FB3E997-4E31-4FA6-9654-11C3C0AF8D86 2 0.0000 0.9837 0.000 1.000
#> A0706E80-FDF9-4721-BEB4-90527F6D38C4 2 0.0000 0.9837 0.000 1.000
#> 5260226E-1826-4F54-8237-28993DD2EF04 2 0.0000 0.9837 0.000 1.000
#> F53F71A7-A399-49AB-8657-019C5C56F48C 2 0.0000 0.9837 0.000 1.000
#> 008159F2-5247-479A-8BFE-C394888D0B74 2 0.0000 0.9837 0.000 1.000
#> 9E6BA6FB-35F2-4510-94AE-3E7CDFED3D47 2 0.0000 0.9837 0.000 1.000
#> F12BE7AC-D2DD-4AD1-AB37-32DC85954F59 1 0.4815 0.8817 0.896 0.104
#> 38A6BA1F-B444-4155-A168-EC2DF0EE0785 1 0.0000 0.9888 1.000 0.000
#> B107D1DE-EE52-4E89-B75A-91124BFF99AE 2 0.0000 0.9837 0.000 1.000
#> D4D16D09-8895-4BEA-ABF7-F11C5D5BDCAA 1 0.0000 0.9888 1.000 0.000
#> 9A53C473-1364-4BB6-AD36-EF53E0208450 1 0.0000 0.9888 1.000 0.000
#> F00C0ED6-C811-4F32-BDB4-4ACA7861DC7D 2 0.0000 0.9837 0.000 1.000
#> 72618985-CD49-4B6F-8CB0-5EE590FAD09A 2 0.0000 0.9837 0.000 1.000
#> 978A315F-CCE9-4D03-A680-C0AD60B10557 2 0.0000 0.9837 0.000 1.000
#> B6EACAED-3944-4510-B685-0BB8D1651D4F 1 0.0000 0.9888 1.000 0.000
#> EBCF16B4-A804-45EB-8253-0F28A2645729 1 0.0000 0.9888 1.000 0.000
#> 637DC441-4A75-4DA8-8F65-91FDB5F103C7 1 0.0000 0.9888 1.000 0.000
#> 89F67654-A246-4307-9B17-4A1C01DB1AED 2 0.0000 0.9837 0.000 1.000
#> 3A8EB57B-71ED-4169-A8EB-624C67CDBBE1 2 0.0000 0.9837 0.000 1.000
#> CC4DA9C6-CAB2-44FF-8219-D293ECD07DD4 1 0.0000 0.9888 1.000 0.000
#> AEC4FDAA-8F60-43CE-8EBB-5629FA662F16 2 0.0000 0.9837 0.000 1.000
#> BFC0D795-64F4-48B3-AD08-8C564E5E5367 1 0.0000 0.9888 1.000 0.000
#> 907BBBA4-4E7B-4808-892E-F80525C3CFA3 1 0.3114 0.9351 0.944 0.056
#> 7F21FA19-1468-4A65-A10A-A9727218A5EF 1 0.0000 0.9888 1.000 0.000
#> 905A026A-0B13-4AD3-B2BB-9A5AE76920AF 2 0.0000 0.9837 0.000 1.000
#> 6DDFC760-7BED-4A68-8DDA-9453D0FC9C1D 1 0.0000 0.9888 1.000 0.000
#> B3AFF323-BAAD-4512-A837-20C430EA39D1 1 0.0000 0.9888 1.000 0.000
#> 193E9034-42A2-4701-AA3E-2E852CA5C043 1 0.0000 0.9888 1.000 0.000
#> 8B6127D5-D3BB-4E17-914C-3ED1E2A52078 2 0.0000 0.9837 0.000 1.000
#> BD6E5E3C-DC43-4A85-84DF-84C68ABB851A 2 0.0000 0.9837 0.000 1.000
#> 881EACBD-B314-4A9E-A6DE-58DF9466AFB3 2 0.7745 0.7043 0.228 0.772
#> 195A6DF6-437D-4964-8872-C44F13E2CA4C 2 0.0000 0.9837 0.000 1.000
#> C40FD0B3-4773-490D-A342-B1CE8CC0A5BD 1 0.0000 0.9888 1.000 0.000
#> 613454BF-1A66-4DBB-90D0-246FC212DA4A 1 0.0000 0.9888 1.000 0.000
#> 5F121320-0F61-4BC0-BB69-F5C9A93BC118 1 0.0000 0.9888 1.000 0.000
#> E5637874-962B-4C43-8339-A6625D754DA8 2 0.0000 0.9837 0.000 1.000
#> 7614BF19-E3A2-492A-ABC0-557B274CA326 1 0.0000 0.9888 1.000 0.000
#> 6EB070B1-45C3-46DB-BFF9-6D9A137EC3A8 2 0.9977 0.1120 0.472 0.528
#> 873EEA1A-8AA1-4C83-B001-7BD64343ADE1 1 0.0000 0.9888 1.000 0.000
#> 2DCF0812-AC29-4BC2-8929-4D3D7B0F6335 2 0.0000 0.9837 0.000 1.000
#> 9391B623-4EC1-43A2-85EC-7B80BE87827D 1 0.0000 0.9888 1.000 0.000
#> 32A000F1-BAEA-41D2-AC75-02255A5BF2F2 2 0.0000 0.9837 0.000 1.000
#> 9C1016CE-3EAB-4FA7-806B-C8F6B08B4EA1 1 0.0000 0.9888 1.000 0.000
#> C7C4E75E-887F-4D11-9FDC-32292895A6B3 2 0.0000 0.9837 0.000 1.000
#> 54739A62-512F-499F-AFE1-B7C631B35272 1 0.0000 0.9888 1.000 0.000
#> 4476DF0E-6BB4-4682-BF59-E61071D4184E 1 0.0000 0.9888 1.000 0.000
#> DCCC6566-8A72-411D-B8F0-CC92B6D973AF 2 0.0000 0.9837 0.000 1.000
#> 781AEC2C-2604-4DAA-A55C-D07A305AF32E 2 0.7453 0.7328 0.212 0.788
#> CB6BBA89-F467-4E0E-9DD1-04631E23D18C 1 0.0000 0.9888 1.000 0.000
#> 42E0E49F-0F6A-4787-87E8-E5CEA94822F9 2 0.0000 0.9837 0.000 1.000
#> B6466D8A-6CD3-4C90-B1FC-72EBDD93AE47 1 0.5946 0.8314 0.856 0.144
#> EEBC342F-80C7-428B-A69C-35962A8A0251 2 0.0000 0.9837 0.000 1.000
#> 38CB2DA4-D03B-4AAD-820E-B3475C52A945 2 0.0000 0.9837 0.000 1.000
#> E924E4B6-F88B-4F6B-B381-24D125C05D4F 2 0.0000 0.9837 0.000 1.000
#> C207F0D6-55B8-4353-8A7D-F1BA623BED96 1 0.0000 0.9888 1.000 0.000
#> 980CBBAE-2C02-4150-8BDB-B67713B6425C 2 0.0000 0.9837 0.000 1.000
#> 2E2A42A8-50A7-4409-8504-949A2B8A46A6 1 0.0000 0.9888 1.000 0.000
#> 65B6391B-3178-4AB3-9AA8-2FFAC5491988 2 0.0000 0.9837 0.000 1.000
#> 78EEB2C7-4B64-4CB0-9C94-E2AC46A75237 1 0.3114 0.9350 0.944 0.056
#> 4F05A349-3B06-425C-A8CC-63C1B23A3D65 1 0.0000 0.9888 1.000 0.000
#> 1CE1B4DB-1F7B-4F30-BAA1-E0252199F05B 2 0.0000 0.9837 0.000 1.000
#> 05FAAE20-A94E-41FA-B6B6-7DDCFB4F9657 1 0.0000 0.9888 1.000 0.000
#> 8C635DC8-6BED-46F6-893F-2AFB6CB3481A 1 0.0000 0.9888 1.000 0.000
#> 48410523-5F22-4531-97FA-7C796AD58989 1 0.0000 0.9888 1.000 0.000
#> B68D29BD-EDC7-4375-99F7-C5DAF72F3BA6 1 0.0000 0.9888 1.000 0.000
#> 417DC694-EA89-4AE0-94AC-88CA7E4BAA0B 1 0.0000 0.9888 1.000 0.000
#> 64CC8829-8B70-4B43-A364-4905139379E4 1 0.7299 0.7444 0.796 0.204
#> 9E7B3CD8-5195-4757-AC99-F96FDD02B6EC 1 0.0000 0.9888 1.000 0.000
#> 91E396AE-9215-405D-95DA-4F20D02CEB92 2 0.7299 0.7448 0.204 0.796
#> 94CD6202-9C20-48FF-952F-C085A9829FF1 1 0.0000 0.9888 1.000 0.000
#> E13AD861-BBD9-4189-8BB6-4B798BDFAA64 1 0.0000 0.9888 1.000 0.000
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#> E3746081-2D1B-470B-A308-4B2E3A139C21 1 0.0000 0.9888 1.000 0.000
#> A7154064-ADD6-4D31-9622-8051F9A94BD2 2 0.2043 0.9535 0.032 0.968
#> D125BE69-EA3E-4E26-83B3-966C9B4E2E1D 1 0.0000 0.9888 1.000 0.000
#> D4A7D4B9-2E9D-4ED5-886F-664A212C9BE1 2 0.0000 0.9837 0.000 1.000
#> 1EFC6C80-2CBC-4F7F-9D95-D3259F22AED3 2 0.9209 0.5033 0.336 0.664
#> 9A0F8AF1-6845-474B-9897-F884E44DF78B 1 0.0000 0.9888 1.000 0.000
#> 5FFEF93E-3421-44BC-95BE-CA07D2343CD9 1 0.0000 0.9888 1.000 0.000
#> 706CD6CB-20D1-4B61-91CE-96468AFAB948 1 0.0000 0.9888 1.000 0.000
#> E75D87AF-DC22-4A00-8DAC-EDE1D242B3E5 2 0.0000 0.9837 0.000 1.000
#> B6428D53-EA3B-41A1-9092-3B47BF9F6089 1 0.0000 0.9888 1.000 0.000
#> 726D44D6-0732-44EA-B911-A5A1F0A758CF 1 0.0000 0.9888 1.000 0.000
#> E9FDE3D9-2845-4737-8957-BF36D7B39464 1 0.0000 0.9888 1.000 0.000
#> A70A345C-7683-4176-869B-8EDEFD966C1B 1 0.0000 0.9888 1.000 0.000
#> AB1C8455-7C2F-4154-95EF-B23EB5FD405A 2 0.0000 0.9837 0.000 1.000
#> 052F9CFB-8816-4A1D-B3C2-6A50168F7299 1 0.0000 0.9888 1.000 0.000
#> A821C6AB-91E5-4A72-8F3F-5D628FA351F0 2 0.0000 0.9837 0.000 1.000
#> 1D7F357E-0075-4AFA-BFCB-0297B90800F1 2 0.0000 0.9837 0.000 1.000
#> 5984264D-BD86-4D2F-8718-7DCAE974F50B 1 0.1414 0.9706 0.980 0.020
#> F24CC083-662D-457C-9BEC-3B68D63236AE 2 0.0000 0.9837 0.000 1.000
#> 48350BD7-9F6E-4DB5-B34A-F47B0BA74EF6 2 0.0000 0.9837 0.000 1.000
#> 94523D56-65BB-4860-9B7F-5859F5C82C05 2 0.0000 0.9837 0.000 1.000
#> CED33410-C7DE-43CC-941A-7652B200E5BB 2 0.0000 0.9837 0.000 1.000
#> 7E122E61-7895-4322-97BE-ABC29D7B7EA9 2 0.0000 0.9837 0.000 1.000
#> 60506411-6B29-49B4-9183-F54EE8B02CC4 1 0.0000 0.9888 1.000 0.000
#> ED52DF66-827A-4A8C-8E50-03C85FA04508 1 0.0000 0.9888 1.000 0.000
#> AB3B48ED-CFF9-4D66-BF3A-E9267D57BA14 2 0.0000 0.9837 0.000 1.000
#> 248A7931-1EB5-47E3-A966-E6AF62E21FC1 2 0.0000 0.9837 0.000 1.000
#> CB846F43-7719-4B7E-946B-32E6384F3CC4 1 0.0000 0.9888 1.000 0.000
#> 940E691A-04A2-410F-B1FB-A66A3BFE10E7 2 0.0000 0.9837 0.000 1.000
#> C3842EA2-E3BC-48DE-9B59-92145AC2F716 2 0.0000 0.9837 0.000 1.000
#> 497FB1B2-A998-44F3-8D69-6974314F941D 2 0.9129 0.5145 0.328 0.672
#> 4BAA88D6-4A88-4D54-9B0E-83365CC85C39 1 0.0376 0.9852 0.996 0.004
#> 7480A3B3-3BF8-4123-8E2E-8C2B52688EC6 2 0.0000 0.9837 0.000 1.000
#> AE3211D1-65C0-46B1-A67F-741C21A7D1C4 2 0.0000 0.9837 0.000 1.000
#> D7244456-CB99-4893-85FE-65082CC4F17C 2 0.0000 0.9837 0.000 1.000
#> C4E0F193-49DC-4A49-84BB-337AAF277145 1 0.0000 0.9888 1.000 0.000
#> E2DF7E97-6BE1-412C-B71D-151B87739653 2 0.0000 0.9837 0.000 1.000
#> 022BCEE2-4794-4D5D-87E5-22CD25FDBA98 2 0.0000 0.9837 0.000 1.000
#> 2AF33CEA-C327-4A31-84D8-C4F26E8A3ECF 1 0.5059 0.8720 0.888 0.112
#> E877B9C0-11C5-4CC8-BAE1-AC210535F3DB 1 0.0000 0.9888 1.000 0.000
#> 0E737E9F-1045-4B86-A290-ED927D5DE7BF 2 0.0000 0.9837 0.000 1.000
#> D1B88E26-3B64-4E1A-8E50-22AD100BD9F9 2 0.0000 0.9837 0.000 1.000
#> 3AEB8943-FE34-4014-B851-BBF83857A794 2 0.0000 0.9837 0.000 1.000
#> BECD727E-E3C1-4C42-9047-D97B7444B20B 2 0.0000 0.9837 0.000 1.000
#> AF866E63-9EA1-4669-B9C4-FC7E877334AE 2 0.0000 0.9837 0.000 1.000
#> F9C8E54A-4CE4-4839-B0CA-58678461EEF1 2 0.0000 0.9837 0.000 1.000
#> AE818BC4-05BF-4E85-A4AD-F3E43DD7D37A 2 0.0000 0.9837 0.000 1.000
#> BA73A860-CADE-408D-8D27-14EADA2B53B0 1 0.0000 0.9888 1.000 0.000
#> 688858C8-48CA-43E9-AE2C-B9D4F80B5EE9 2 0.0000 0.9837 0.000 1.000
#> EB1D52B2-17B3-491E-B484-1235633D6925 2 0.0000 0.9837 0.000 1.000
#> AE261B5D-3881-40B9-8EE7-26B950E0BE16 1 0.0000 0.9888 1.000 0.000
#> 8C9851D5-3091-4DE0-A59E-9122C0CA1CD2 2 0.0000 0.9837 0.000 1.000
#> C8180F95-4E9C-45DB-B959-B47F64167C2D 2 0.2043 0.9535 0.032 0.968
#> 552D3B42-8D22-4B64-B3A2-B3E5D51A8524 2 0.0000 0.9837 0.000 1.000
#> FED9F364-BC3F-4134-BF4B-4D24B0EB8315 1 0.0000 0.9888 1.000 0.000
#> 7B0D7792-C803-4DD0-B9BF-CB83DA2D199A 1 0.0000 0.9888 1.000 0.000
#> B4F82CBB-A47C-44C3-81AC-CF775FF06FCD 1 0.0000 0.9888 1.000 0.000
#> BFAB10CF-5B24-40F7-92E7-C2E60DD779EF 1 0.0000 0.9888 1.000 0.000
#> E4E259E1-48B2-4C76-B113-E46270742F53 2 0.0000 0.9837 0.000 1.000
#> 81FCBC31-367A-4B1C-A832-B133E4A43738 2 0.9393 0.4551 0.356 0.644
#> 8690FA0F-9C1C-4D97-813A-3FB56827FBFC 2 0.0000 0.9837 0.000 1.000
#> 9810CF0C-99D1-445B-B1F9-C956D2438495 2 0.0000 0.9837 0.000 1.000
#> 2F5073E1-9EDD-46B5-95E3-8314E2A5B620 1 0.0000 0.9888 1.000 0.000
#> B454F9FB-439A-43B5-877D-752D0F138AB5 2 0.0000 0.9837 0.000 1.000
#> 287F2B71-92F8-4D14-8249-C1BFBB254BE7 1 0.0000 0.9888 1.000 0.000
#> 52DC920F-0AD5-47CE-BD81-31843876B71E 1 0.0000 0.9888 1.000 0.000
#> 6BAC4B1B-C3FC-4A09-9821-232E510E6A47 1 0.0000 0.9888 1.000 0.000
#> A2B87EED-0D8E-4B20-85D3-FD9CC5E2E806 1 0.0000 0.9888 1.000 0.000
#> 43E6DB93-2DA6-4F0F-BF81-0C3869134D2B 1 0.0000 0.9888 1.000 0.000
#> 09A2ED74-A7C7-4DBB-8EDD-C80D0F0AEFDF 1 0.0000 0.9888 1.000 0.000
#> 35EDCB52-D4B5-4305-8A74-95EFE6F2BFB1 1 0.0000 0.9888 1.000 0.000
#> D5D18AF8-9CC2-496C-A83A-31BBA0195CFD 1 0.0000 0.9888 1.000 0.000
#> 03767EDF-2F8A-41DE-8D80-F4BE861225A3 2 0.7602 0.7205 0.220 0.780
#> 586BC656-AD9C-44EF-9ED4-87DEEB5C8AA6 1 0.0000 0.9888 1.000 0.000
#> 23CA1146-CB1B-4054-A4FF-200B87444BF9 1 0.0000 0.9888 1.000 0.000
#> 910E9B6D-E7D5-4C83-A19C-1EEA6E135639 1 0.3879 0.9138 0.924 0.076
#> F36353A3-6CE6-4347-A78B-0AAD8FAB14AD 1 0.0000 0.9888 1.000 0.000
#> 2045736E-7D0F-4B17-B74B-3B12AEE3E68C 1 0.0000 0.9888 1.000 0.000
#> 5EFA2C2D-30B3-4D66-9601-354711F9FC56 2 0.0000 0.9837 0.000 1.000
#> 3FBD381D-84C8-4680-980B-CC4B7924BE06 2 0.0000 0.9837 0.000 1.000
#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 2 0.6801 0.7780 0.180 0.820
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 1 0.0000 0.9888 1.000 0.000
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 2 0.0000 0.9837 0.000 1.000
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 2 0.0000 0.9837 0.000 1.000
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 1 0.0000 0.9888 1.000 0.000
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 2 0.0000 0.9837 0.000 1.000
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 2 0.0672 0.9764 0.008 0.992
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 1 0.0000 0.9888 1.000 0.000
#> A3343F40-F977-4F9B-856A-28781F10F4CD 2 0.0000 0.9837 0.000 1.000
#> DA144299-5541-47D7-A59E-C92896DF08FC 1 0.0000 0.9888 1.000 0.000
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 2 0.0000 0.9837 0.000 1.000
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.0000 0.9888 1.000 0.000
#> 617447CF-9327-4062-B22C-71A8944C948F 2 0.0000 0.9837 0.000 1.000
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0000 0.9888 1.000 0.000
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 2 0.0000 0.9837 0.000 1.000
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.0000 0.9888 1.000 0.000
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.0000 0.9837 0.000 1.000
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.0000 0.9888 1.000 0.000
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 2 0.0000 0.9837 0.000 1.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 2 0.0000 0.9837 0.000 1.000
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 2 0.0000 0.9837 0.000 1.000
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.0000 0.9888 1.000 0.000
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 1 0.0000 0.9888 1.000 0.000
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.0000 0.9837 0.000 1.000
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 1 0.0000 0.9888 1.000 0.000
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.0000 0.9888 1.000 0.000
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 2 0.0000 0.9837 0.000 1.000
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 2 0.0000 0.9837 0.000 1.000
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 1 0.0000 0.9888 1.000 0.000
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 1 0.9933 0.1606 0.548 0.452
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.0000 0.9888 1.000 0.000
#> DA1301D3-1F84-46C5-AB44-079493A81A51 1 0.0000 0.9888 1.000 0.000
#> A12B1681-B598-40C3-80FE-1801F3F1189D 1 0.0000 0.9888 1.000 0.000
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 2 0.0000 0.9837 0.000 1.000
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 1 0.9909 0.1992 0.556 0.444
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.0000 0.9837 0.000 1.000
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.0000 0.9837 0.000 1.000
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 1 0.0000 0.9888 1.000 0.000
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.0000 0.9837 0.000 1.000
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.0000 0.9837 0.000 1.000
#> 1D0379B1-0E99-4E6D-B890-907C92860654 2 0.3274 0.9248 0.060 0.940
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.0000 0.9837 0.000 1.000
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 2 0.0000 0.9837 0.000 1.000
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 2 0.0000 0.9837 0.000 1.000
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0000 0.9888 1.000 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.0000 0.9837 0.000 1.000
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.0000 0.9888 1.000 0.000
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.0000 0.9837 0.000 1.000
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0000 0.9888 1.000 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.0000 0.9837 0.000 1.000
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 1 0.0000 0.9888 1.000 0.000
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.0000 0.9837 0.000 1.000
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.0000 0.9888 1.000 0.000
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.0000 0.9837 0.000 1.000
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.9888 1.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.9888 1.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.0000 0.9837 0.000 1.000
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.0000 0.9888 1.000 0.000
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.0000 0.9837 0.000 1.000
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 2 0.0000 0.9837 0.000 1.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 2 0.0000 0.9837 0.000 1.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 2 0.0000 0.9837 0.000 1.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 1 0.0000 0.9888 1.000 0.000
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.0000 0.9837 0.000 1.000
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.0000 0.9837 0.000 1.000
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.0000 0.9837 0.000 1.000
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.0000 0.9837 0.000 1.000
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.9888 1.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.9888 1.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.0000 0.9888 1.000 0.000
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0000 0.9888 1.000 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.0000 0.9837 0.000 1.000
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.0000 0.9837 0.000 1.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0000 0.9888 1.000 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.0000 0.9837 0.000 1.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.0000 0.9888 1.000 0.000
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.0000 0.9888 1.000 0.000
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 2 0.0000 0.9837 0.000 1.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.0000 0.9888 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.989 1.000 0.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.967 0.000 0.000 1.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.0000 0.989 1.000 0.000 0.000
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.0000 0.989 1.000 0.000 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.0000 0.989 1.000 0.000 0.000
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.0000 0.989 1.000 0.000 0.000
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 2 0.0000 0.966 0.000 1.000 0.000
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 2 0.0000 0.966 0.000 1.000 0.000
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.0000 0.989 1.000 0.000 0.000
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 1 0.0000 0.989 1.000 0.000 0.000
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.0000 0.989 1.000 0.000 0.000
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 3 0.0000 0.967 0.000 0.000 1.000
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.989 1.000 0.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 3 0.0000 0.967 0.000 0.000 1.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 2 0.0000 0.966 0.000 1.000 0.000
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.0000 0.966 0.000 1.000 0.000
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0000 0.989 1.000 0.000 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.989 1.000 0.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 1 0.4974 0.682 0.764 0.000 0.236
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0000 0.989 1.000 0.000 0.000
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 2 0.1964 0.905 0.056 0.944 0.000
#> 83453F80-8A68-4A3C-995D-85CFB1011249 3 0.0000 0.967 0.000 0.000 1.000
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 2 0.0000 0.966 0.000 1.000 0.000
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0000 0.989 1.000 0.000 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 2 0.0000 0.966 0.000 1.000 0.000
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 1 0.0000 0.989 1.000 0.000 0.000
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#> BA73A860-CADE-408D-8D27-14EADA2B53B0 1 0.3686 0.811 0.860 0.140 0.000
#> 688858C8-48CA-43E9-AE2C-B9D4F80B5EE9 2 0.0000 0.966 0.000 1.000 0.000
#> EB1D52B2-17B3-491E-B484-1235633D6925 2 0.0000 0.966 0.000 1.000 0.000
#> AE261B5D-3881-40B9-8EE7-26B950E0BE16 1 0.0000 0.989 1.000 0.000 0.000
#> 8C9851D5-3091-4DE0-A59E-9122C0CA1CD2 2 0.0000 0.966 0.000 1.000 0.000
#> C8180F95-4E9C-45DB-B959-B47F64167C2D 2 0.0000 0.966 0.000 1.000 0.000
#> 552D3B42-8D22-4B64-B3A2-B3E5D51A8524 2 0.0000 0.966 0.000 1.000 0.000
#> FED9F364-BC3F-4134-BF4B-4D24B0EB8315 1 0.0000 0.989 1.000 0.000 0.000
#> 7B0D7792-C803-4DD0-B9BF-CB83DA2D199A 1 0.0000 0.989 1.000 0.000 0.000
#> B4F82CBB-A47C-44C3-81AC-CF775FF06FCD 1 0.0000 0.989 1.000 0.000 0.000
#> BFAB10CF-5B24-40F7-92E7-C2E60DD779EF 1 0.0000 0.989 1.000 0.000 0.000
#> E4E259E1-48B2-4C76-B113-E46270742F53 2 0.0000 0.966 0.000 1.000 0.000
#> 81FCBC31-367A-4B1C-A832-B133E4A43738 2 0.0000 0.966 0.000 1.000 0.000
#> 8690FA0F-9C1C-4D97-813A-3FB56827FBFC 2 0.0000 0.966 0.000 1.000 0.000
#> 9810CF0C-99D1-445B-B1F9-C956D2438495 3 0.0000 0.967 0.000 0.000 1.000
#> 2F5073E1-9EDD-46B5-95E3-8314E2A5B620 1 0.0000 0.989 1.000 0.000 0.000
#> B454F9FB-439A-43B5-877D-752D0F138AB5 2 0.1643 0.927 0.000 0.956 0.044
#> 287F2B71-92F8-4D14-8249-C1BFBB254BE7 1 0.0000 0.989 1.000 0.000 0.000
#> 52DC920F-0AD5-47CE-BD81-31843876B71E 1 0.0000 0.989 1.000 0.000 0.000
#> 6BAC4B1B-C3FC-4A09-9821-232E510E6A47 1 0.0000 0.989 1.000 0.000 0.000
#> A2B87EED-0D8E-4B20-85D3-FD9CC5E2E806 1 0.0000 0.989 1.000 0.000 0.000
#> 43E6DB93-2DA6-4F0F-BF81-0C3869134D2B 1 0.0000 0.989 1.000 0.000 0.000
#> 09A2ED74-A7C7-4DBB-8EDD-C80D0F0AEFDF 1 0.0000 0.989 1.000 0.000 0.000
#> 35EDCB52-D4B5-4305-8A74-95EFE6F2BFB1 1 0.0000 0.989 1.000 0.000 0.000
#> D5D18AF8-9CC2-496C-A83A-31BBA0195CFD 1 0.0237 0.984 0.996 0.004 0.000
#> 03767EDF-2F8A-41DE-8D80-F4BE861225A3 3 0.3551 0.834 0.132 0.000 0.868
#> 586BC656-AD9C-44EF-9ED4-87DEEB5C8AA6 1 0.0000 0.989 1.000 0.000 0.000
#> 23CA1146-CB1B-4054-A4FF-200B87444BF9 1 0.0000 0.989 1.000 0.000 0.000
#> 910E9B6D-E7D5-4C83-A19C-1EEA6E135639 1 0.5291 0.615 0.732 0.268 0.000
#> F36353A3-6CE6-4347-A78B-0AAD8FAB14AD 1 0.0000 0.989 1.000 0.000 0.000
#> 2045736E-7D0F-4B17-B74B-3B12AEE3E68C 1 0.0000 0.989 1.000 0.000 0.000
#> 5EFA2C2D-30B3-4D66-9601-354711F9FC56 3 0.0000 0.967 0.000 0.000 1.000
#> 3FBD381D-84C8-4680-980B-CC4B7924BE06 2 0.0000 0.966 0.000 1.000 0.000
#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 2 0.0000 0.966 0.000 1.000 0.000
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 1 0.0000 0.989 1.000 0.000 0.000
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 2 0.0000 0.966 0.000 1.000 0.000
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 2 0.0000 0.966 0.000 1.000 0.000
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 1 0.0000 0.989 1.000 0.000 0.000
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 2 0.0747 0.953 0.000 0.984 0.016
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 2 0.0000 0.966 0.000 1.000 0.000
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 1 0.0000 0.989 1.000 0.000 0.000
#> A3343F40-F977-4F9B-856A-28781F10F4CD 2 0.0000 0.966 0.000 1.000 0.000
#> DA144299-5541-47D7-A59E-C92896DF08FC 1 0.0000 0.989 1.000 0.000 0.000
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 2 0.0000 0.966 0.000 1.000 0.000
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.0000 0.989 1.000 0.000 0.000
#> 617447CF-9327-4062-B22C-71A8944C948F 2 0.0000 0.966 0.000 1.000 0.000
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0000 0.989 1.000 0.000 0.000
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 2 0.0000 0.966 0.000 1.000 0.000
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.0000 0.989 1.000 0.000 0.000
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.0000 0.966 0.000 1.000 0.000
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.0000 0.989 1.000 0.000 0.000
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 3 0.0000 0.967 0.000 0.000 1.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 2 0.0000 0.966 0.000 1.000 0.000
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 3 0.0000 0.967 0.000 0.000 1.000
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.0000 0.989 1.000 0.000 0.000
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 1 0.0000 0.989 1.000 0.000 0.000
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.0000 0.966 0.000 1.000 0.000
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 1 0.0000 0.989 1.000 0.000 0.000
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.0000 0.989 1.000 0.000 0.000
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 3 0.0000 0.967 0.000 0.000 1.000
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 3 0.0000 0.967 0.000 0.000 1.000
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 1 0.0000 0.989 1.000 0.000 0.000
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 1 0.6274 0.137 0.544 0.000 0.456
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.0000 0.989 1.000 0.000 0.000
#> DA1301D3-1F84-46C5-AB44-079493A81A51 1 0.0000 0.989 1.000 0.000 0.000
#> A12B1681-B598-40C3-80FE-1801F3F1189D 1 0.0000 0.989 1.000 0.000 0.000
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 2 0.0000 0.966 0.000 1.000 0.000
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 2 0.0000 0.966 0.000 1.000 0.000
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.0000 0.966 0.000 1.000 0.000
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.0000 0.966 0.000 1.000 0.000
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 1 0.0000 0.989 1.000 0.000 0.000
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.0000 0.966 0.000 1.000 0.000
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 3 0.5465 0.593 0.000 0.288 0.712
#> 1D0379B1-0E99-4E6D-B890-907C92860654 2 0.0000 0.966 0.000 1.000 0.000
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.0000 0.966 0.000 1.000 0.000
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 2 0.0000 0.966 0.000 1.000 0.000
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 2 0.0000 0.966 0.000 1.000 0.000
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0000 0.989 1.000 0.000 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.0000 0.966 0.000 1.000 0.000
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.0000 0.989 1.000 0.000 0.000
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.0000 0.966 0.000 1.000 0.000
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0000 0.989 1.000 0.000 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.0000 0.966 0.000 1.000 0.000
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 1 0.0000 0.989 1.000 0.000 0.000
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.0000 0.966 0.000 1.000 0.000
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.0000 0.989 1.000 0.000 0.000
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.0000 0.966 0.000 1.000 0.000
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.989 1.000 0.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.989 1.000 0.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.0000 0.966 0.000 1.000 0.000
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.0000 0.989 1.000 0.000 0.000
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.0000 0.966 0.000 1.000 0.000
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.967 0.000 0.000 1.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 3 0.0000 0.967 0.000 0.000 1.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.0000 0.967 0.000 0.000 1.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 2 0.5882 0.470 0.348 0.652 0.000
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.3879 0.809 0.000 0.848 0.152
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.0000 0.966 0.000 1.000 0.000
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.0000 0.966 0.000 1.000 0.000
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.0000 0.966 0.000 1.000 0.000
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.989 1.000 0.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.989 1.000 0.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.0000 0.989 1.000 0.000 0.000
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0000 0.989 1.000 0.000 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.3752 0.821 0.000 0.856 0.144
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.0000 0.966 0.000 1.000 0.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0000 0.989 1.000 0.000 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.0000 0.966 0.000 1.000 0.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.0000 0.989 1.000 0.000 0.000
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.0000 0.989 1.000 0.000 0.000
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.967 0.000 0.000 1.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.0000 0.989 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.89187 1.000 0.000 0.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.96775 0.000 0.000 1.000 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.4134 0.64175 0.740 0.000 0.000 0.260
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.1792 0.84017 0.932 0.000 0.000 0.068
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.4072 0.65148 0.748 0.000 0.000 0.252
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.0000 0.89187 1.000 0.000 0.000 0.000
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 2 0.3172 0.70430 0.000 0.840 0.000 0.160
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 2 0.4040 0.54590 0.000 0.752 0.000 0.248
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.0188 0.89038 0.996 0.000 0.000 0.004
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 4 0.3444 0.63729 0.184 0.000 0.000 0.816
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 4 0.4585 0.64161 0.332 0.000 0.000 0.668
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 3 0.1940 0.93556 0.000 0.000 0.924 0.076
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.89187 1.000 0.000 0.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 3 0.0000 0.96775 0.000 0.000 1.000 0.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 2 0.2589 0.75808 0.000 0.884 0.000 0.116
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.0000 0.85461 0.000 1.000 0.000 0.000
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0000 0.89187 1.000 0.000 0.000 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0469 0.88533 0.988 0.000 0.000 0.012
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 1 0.5995 0.47992 0.660 0.000 0.256 0.084
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0000 0.89187 1.000 0.000 0.000 0.000
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 2 0.6571 0.56691 0.124 0.612 0.000 0.264
#> 83453F80-8A68-4A3C-995D-85CFB1011249 3 0.1940 0.93556 0.000 0.000 0.924 0.076
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 2 0.1557 0.81809 0.000 0.944 0.000 0.056
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0000 0.89187 1.000 0.000 0.000 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 2 0.4164 0.73586 0.000 0.736 0.000 0.264
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 4 0.4907 0.38690 0.420 0.000 0.000 0.580
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.0000 0.85461 0.000 1.000 0.000 0.000
#> 375FE390-434B-41D3-9029-84065B1D7B6F 4 0.4855 0.48418 0.000 0.400 0.000 0.600
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.4967 -0.14426 0.548 0.000 0.000 0.452
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.3356 0.75438 0.000 0.824 0.176 0.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.0000 0.85461 0.000 1.000 0.000 0.000
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.6334 0.60018 0.000 0.592 0.080 0.328
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.4134 0.73888 0.000 0.740 0.000 0.260
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.0000 0.89187 1.000 0.000 0.000 0.000
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 2 0.5859 0.57396 0.000 0.652 0.284 0.064
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 2 0.3400 0.78673 0.000 0.820 0.000 0.180
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 1 0.0000 0.89187 1.000 0.000 0.000 0.000
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0000 0.96775 0.000 0.000 1.000 0.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.0000 0.89187 1.000 0.000 0.000 0.000
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.0000 0.96775 0.000 0.000 1.000 0.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 2 0.0469 0.84838 0.000 0.988 0.000 0.012
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.1389 0.94825 0.000 0.000 0.952 0.048
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.0000 0.96775 0.000 0.000 1.000 0.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 1 0.0000 0.89187 1.000 0.000 0.000 0.000
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 4 0.5173 0.59659 0.020 0.320 0.000 0.660
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.0000 0.89187 1.000 0.000 0.000 0.000
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 2 0.0000 0.85461 0.000 1.000 0.000 0.000
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 1 0.0000 0.89187 1.000 0.000 0.000 0.000
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.0000 0.89187 1.000 0.000 0.000 0.000
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 2 0.4164 0.73586 0.000 0.736 0.000 0.264
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.3760 0.72953 0.000 0.836 0.136 0.028
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 4 0.4624 0.57442 0.000 0.340 0.000 0.660
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.0000 0.96775 0.000 0.000 1.000 0.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 4 0.4624 0.63862 0.340 0.000 0.000 0.660
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 2 0.4164 0.73586 0.000 0.736 0.000 0.264
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 2 0.0000 0.85461 0.000 1.000 0.000 0.000
#> 208165C0-229B-49E2-A22A-575CA3157C9E 2 0.4193 0.73524 0.000 0.732 0.000 0.268
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 4 0.4624 0.63862 0.340 0.000 0.000 0.660
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#> BA73A860-CADE-408D-8D27-14EADA2B53B0 4 0.5962 0.65177 0.080 0.260 0.000 0.660
#> 688858C8-48CA-43E9-AE2C-B9D4F80B5EE9 2 0.0000 0.85461 0.000 1.000 0.000 0.000
#> EB1D52B2-17B3-491E-B484-1235633D6925 2 0.4164 0.73586 0.000 0.736 0.000 0.264
#> AE261B5D-3881-40B9-8EE7-26B950E0BE16 1 0.0188 0.89022 0.996 0.000 0.000 0.004
#> 8C9851D5-3091-4DE0-A59E-9122C0CA1CD2 2 0.0000 0.85461 0.000 1.000 0.000 0.000
#> C8180F95-4E9C-45DB-B959-B47F64167C2D 4 0.4661 0.56408 0.000 0.348 0.000 0.652
#> 552D3B42-8D22-4B64-B3A2-B3E5D51A8524 2 0.0000 0.85461 0.000 1.000 0.000 0.000
#> FED9F364-BC3F-4134-BF4B-4D24B0EB8315 1 0.4164 0.63676 0.736 0.000 0.000 0.264
#> 7B0D7792-C803-4DD0-B9BF-CB83DA2D199A 1 0.0000 0.89187 1.000 0.000 0.000 0.000
#> B4F82CBB-A47C-44C3-81AC-CF775FF06FCD 1 0.0000 0.89187 1.000 0.000 0.000 0.000
#> BFAB10CF-5B24-40F7-92E7-C2E60DD779EF 1 0.3400 0.73002 0.820 0.000 0.000 0.180
#> E4E259E1-48B2-4C76-B113-E46270742F53 2 0.4134 0.73888 0.000 0.740 0.000 0.260
#> 81FCBC31-367A-4B1C-A832-B133E4A43738 2 0.4164 0.73586 0.000 0.736 0.000 0.264
#> 8690FA0F-9C1C-4D97-813A-3FB56827FBFC 2 0.0188 0.85272 0.000 0.996 0.000 0.004
#> 9810CF0C-99D1-445B-B1F9-C956D2438495 3 0.1940 0.93556 0.000 0.000 0.924 0.076
#> 2F5073E1-9EDD-46B5-95E3-8314E2A5B620 4 0.4103 0.54196 0.256 0.000 0.000 0.744
#> B454F9FB-439A-43B5-877D-752D0F138AB5 2 0.4134 0.67416 0.000 0.740 0.260 0.000
#> 287F2B71-92F8-4D14-8249-C1BFBB254BE7 4 0.4624 0.63862 0.340 0.000 0.000 0.660
#> 52DC920F-0AD5-47CE-BD81-31843876B71E 1 0.0000 0.89187 1.000 0.000 0.000 0.000
#> 6BAC4B1B-C3FC-4A09-9821-232E510E6A47 1 0.3873 0.59053 0.772 0.000 0.000 0.228
#> A2B87EED-0D8E-4B20-85D3-FD9CC5E2E806 4 0.4661 0.62972 0.348 0.000 0.000 0.652
#> 43E6DB93-2DA6-4F0F-BF81-0C3869134D2B 1 0.1022 0.87019 0.968 0.000 0.000 0.032
#> 09A2ED74-A7C7-4DBB-8EDD-C80D0F0AEFDF 1 0.0000 0.89187 1.000 0.000 0.000 0.000
#> 35EDCB52-D4B5-4305-8A74-95EFE6F2BFB1 1 0.0000 0.89187 1.000 0.000 0.000 0.000
#> D5D18AF8-9CC2-496C-A83A-31BBA0195CFD 1 0.4164 0.63676 0.736 0.000 0.000 0.264
#> 03767EDF-2F8A-41DE-8D80-F4BE861225A3 1 0.7385 0.26148 0.484 0.000 0.176 0.340
#> 586BC656-AD9C-44EF-9ED4-87DEEB5C8AA6 1 0.0000 0.89187 1.000 0.000 0.000 0.000
#> 23CA1146-CB1B-4054-A4FF-200B87444BF9 1 0.0000 0.89187 1.000 0.000 0.000 0.000
#> 910E9B6D-E7D5-4C83-A19C-1EEA6E135639 4 0.6316 0.69710 0.184 0.156 0.000 0.660
#> F36353A3-6CE6-4347-A78B-0AAD8FAB14AD 1 0.0000 0.89187 1.000 0.000 0.000 0.000
#> 2045736E-7D0F-4B17-B74B-3B12AEE3E68C 1 0.0000 0.89187 1.000 0.000 0.000 0.000
#> 5EFA2C2D-30B3-4D66-9601-354711F9FC56 3 0.0000 0.96775 0.000 0.000 1.000 0.000
#> 3FBD381D-84C8-4680-980B-CC4B7924BE06 2 0.0000 0.85461 0.000 1.000 0.000 0.000
#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 2 0.3837 0.76280 0.000 0.776 0.000 0.224
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 1 0.2081 0.83070 0.916 0.000 0.000 0.084
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 2 0.0000 0.85461 0.000 1.000 0.000 0.000
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 4 0.5602 0.29531 0.000 0.472 0.020 0.508
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 1 0.2081 0.82797 0.916 0.000 0.000 0.084
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 2 0.4134 0.73888 0.000 0.740 0.000 0.260
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 2 0.0000 0.85461 0.000 1.000 0.000 0.000
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 4 0.4830 0.57314 0.392 0.000 0.000 0.608
#> A3343F40-F977-4F9B-856A-28781F10F4CD 2 0.0000 0.85461 0.000 1.000 0.000 0.000
#> DA144299-5541-47D7-A59E-C92896DF08FC 1 0.0469 0.88638 0.988 0.000 0.000 0.012
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 2 0.0000 0.85461 0.000 1.000 0.000 0.000
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.1022 0.87015 0.968 0.000 0.000 0.032
#> 617447CF-9327-4062-B22C-71A8944C948F 2 0.0000 0.85461 0.000 1.000 0.000 0.000
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0000 0.89187 1.000 0.000 0.000 0.000
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 2 0.0000 0.85461 0.000 1.000 0.000 0.000
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.0000 0.89187 1.000 0.000 0.000 0.000
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.0000 0.85461 0.000 1.000 0.000 0.000
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.0000 0.89187 1.000 0.000 0.000 0.000
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 3 0.0000 0.96775 0.000 0.000 1.000 0.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 2 0.0000 0.85461 0.000 1.000 0.000 0.000
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 3 0.1940 0.93556 0.000 0.000 0.924 0.076
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.0188 0.89038 0.996 0.000 0.000 0.004
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 1 0.4989 -0.22818 0.528 0.000 0.000 0.472
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.0000 0.85461 0.000 1.000 0.000 0.000
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 1 0.0000 0.89187 1.000 0.000 0.000 0.000
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 4 0.4933 0.49281 0.432 0.000 0.000 0.568
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 3 0.0000 0.96775 0.000 0.000 1.000 0.000
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 3 0.0000 0.96775 0.000 0.000 1.000 0.000
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 1 0.0188 0.89038 0.996 0.000 0.000 0.004
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 1 0.4761 0.54883 0.664 0.000 0.004 0.332
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.3801 0.60998 0.780 0.000 0.000 0.220
#> DA1301D3-1F84-46C5-AB44-079493A81A51 1 0.4164 0.63676 0.736 0.000 0.000 0.264
#> A12B1681-B598-40C3-80FE-1801F3F1189D 4 0.4866 0.55543 0.404 0.000 0.000 0.596
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 2 0.3528 0.77888 0.000 0.808 0.000 0.192
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 4 0.4624 0.57442 0.000 0.340 0.000 0.660
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.4018 0.76009 0.000 0.772 0.004 0.224
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.4948 -0.02549 0.000 0.560 0.000 0.440
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 1 0.0188 0.89038 0.996 0.000 0.000 0.004
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.3311 0.75868 0.000 0.828 0.172 0.000
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.4907 0.38937 0.000 0.580 0.420 0.000
#> 1D0379B1-0E99-4E6D-B890-907C92860654 2 0.3975 0.55999 0.000 0.760 0.000 0.240
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.0000 0.85461 0.000 1.000 0.000 0.000
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 2 0.0188 0.85328 0.000 0.996 0.000 0.004
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 2 0.0000 0.85461 0.000 1.000 0.000 0.000
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.2281 0.80689 0.904 0.000 0.000 0.096
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.0000 0.85461 0.000 1.000 0.000 0.000
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.0188 0.89038 0.996 0.000 0.000 0.004
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.0000 0.85461 0.000 1.000 0.000 0.000
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0000 0.89187 1.000 0.000 0.000 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.0000 0.85461 0.000 1.000 0.000 0.000
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 1 0.0000 0.89187 1.000 0.000 0.000 0.000
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.0000 0.85461 0.000 1.000 0.000 0.000
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.0000 0.89187 1.000 0.000 0.000 0.000
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.0336 0.85078 0.000 0.992 0.000 0.008
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.89187 1.000 0.000 0.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.89187 1.000 0.000 0.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.0000 0.85461 0.000 1.000 0.000 0.000
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.3528 0.66072 0.808 0.000 0.000 0.192
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.0000 0.85461 0.000 1.000 0.000 0.000
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.96775 0.000 0.000 1.000 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 3 0.1940 0.93556 0.000 0.000 0.924 0.076
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.0000 0.96775 0.000 0.000 1.000 0.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 4 0.5090 0.59414 0.016 0.324 0.000 0.660
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.4606 0.72758 0.000 0.724 0.012 0.264
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.0336 0.85059 0.000 0.992 0.000 0.008
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.0000 0.85461 0.000 1.000 0.000 0.000
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.0000 0.85461 0.000 1.000 0.000 0.000
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.89187 1.000 0.000 0.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.2921 0.75537 0.860 0.000 0.000 0.140
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.0000 0.89187 1.000 0.000 0.000 0.000
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0000 0.89187 1.000 0.000 0.000 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.3903 0.77915 0.000 0.844 0.080 0.076
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.0000 0.85461 0.000 1.000 0.000 0.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.1211 0.86296 0.960 0.000 0.000 0.040
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.0000 0.85461 0.000 1.000 0.000 0.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.0000 0.89187 1.000 0.000 0.000 0.000
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.2814 0.75508 0.868 0.000 0.000 0.132
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.96775 0.000 0.000 1.000 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.0000 0.89187 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
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.1792 0.87559 0.916 0.000 0.000 0.000 0.084
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.91263 0.000 0.000 1.000 0.000 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.3424 0.79558 0.760 0.000 0.000 0.000 0.240
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.3318 0.84299 0.808 0.000 0.000 0.012 0.180
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.4030 0.64668 0.648 0.000 0.000 0.000 0.352
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.2424 0.86731 0.868 0.000 0.000 0.000 0.132
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 2 0.2127 0.66089 0.000 0.892 0.000 0.108 0.000
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 2 0.5344 0.11875 0.000 0.500 0.000 0.448 0.052
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.2690 0.85878 0.844 0.000 0.000 0.000 0.156
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 4 0.1408 0.81535 0.044 0.000 0.000 0.948 0.008
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 4 0.1270 0.81677 0.052 0.000 0.000 0.948 0.000
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 3 0.4238 0.79436 0.000 0.000 0.756 0.052 0.192
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.87386 1.000 0.000 0.000 0.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 3 0.0609 0.89845 0.000 0.000 0.980 0.000 0.020
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 2 0.5272 0.29536 0.000 0.620 0.000 0.308 0.072
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.0162 0.74995 0.000 0.996 0.000 0.000 0.004
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.2424 0.86731 0.868 0.000 0.000 0.000 0.132
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0162 0.87317 0.996 0.000 0.000 0.000 0.004
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 1 0.6408 0.54612 0.536 0.000 0.064 0.052 0.348
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0290 0.87521 0.992 0.000 0.000 0.000 0.008
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 5 0.5282 0.45846 0.088 0.268 0.000 0.000 0.644
#> 83453F80-8A68-4A3C-995D-85CFB1011249 3 0.4238 0.79436 0.000 0.000 0.756 0.052 0.192
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 2 0.0404 0.74520 0.000 0.988 0.000 0.012 0.000
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.1478 0.87654 0.936 0.000 0.000 0.000 0.064
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 5 0.3932 0.51300 0.000 0.328 0.000 0.000 0.672
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 4 0.5535 0.55239 0.116 0.000 0.000 0.628 0.256
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.2773 0.77961 0.000 0.836 0.000 0.000 0.164
#> 375FE390-434B-41D3-9029-84065B1D7B6F 4 0.1914 0.79563 0.000 0.060 0.000 0.924 0.016
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.4029 0.45013 0.680 0.000 0.000 0.316 0.004
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.3167 0.77619 0.000 0.820 0.004 0.004 0.172
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.2930 0.77877 0.000 0.832 0.004 0.000 0.164
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 5 0.4434 0.46858 0.000 0.208 0.056 0.000 0.736
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 5 0.4201 0.40227 0.000 0.408 0.000 0.000 0.592
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.0963 0.87708 0.964 0.000 0.000 0.000 0.036
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 2 0.5587 0.19127 0.000 0.588 0.344 0.052 0.016
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 5 0.4305 0.13640 0.000 0.488 0.000 0.000 0.512
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 1 0.2516 0.86495 0.860 0.000 0.000 0.000 0.140
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0000 0.91263 0.000 0.000 1.000 0.000 0.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.2424 0.86731 0.868 0.000 0.000 0.000 0.132
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.0000 0.91263 0.000 0.000 1.000 0.000 0.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 2 0.0290 0.74752 0.000 0.992 0.000 0.008 0.000
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.1043 0.89721 0.000 0.000 0.960 0.000 0.040
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.0000 0.91263 0.000 0.000 1.000 0.000 0.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 1 0.0162 0.87317 0.996 0.000 0.000 0.000 0.004
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 4 0.1357 0.80951 0.004 0.048 0.000 0.948 0.000
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#> A70A345C-7683-4176-869B-8EDEFD966C1B 1 0.0290 0.87513 0.992 0.000 0.000 0.000 0.008
#> AB1C8455-7C2F-4154-95EF-B23EB5FD405A 4 0.2179 0.75224 0.000 0.000 0.112 0.888 0.000
#> 052F9CFB-8816-4A1D-B3C2-6A50168F7299 1 0.0671 0.86707 0.980 0.000 0.000 0.016 0.004
#> A821C6AB-91E5-4A72-8F3F-5D628FA351F0 3 0.1732 0.87942 0.000 0.000 0.920 0.000 0.080
#> 1D7F357E-0075-4AFA-BFCB-0297B90800F1 3 0.5905 0.57659 0.000 0.064 0.592 0.028 0.316
#> 5984264D-BD86-4D2F-8718-7DCAE974F50B 4 0.1270 0.81677 0.052 0.000 0.000 0.948 0.000
#> F24CC083-662D-457C-9BEC-3B68D63236AE 5 0.4074 0.49039 0.000 0.364 0.000 0.000 0.636
#> 48350BD7-9F6E-4DB5-B34A-F47B0BA74EF6 5 0.4473 0.50971 0.000 0.324 0.020 0.000 0.656
#> 94523D56-65BB-4860-9B7F-5859F5C82C05 3 0.0000 0.91263 0.000 0.000 1.000 0.000 0.000
#> CED33410-C7DE-43CC-941A-7652B200E5BB 2 0.2773 0.77961 0.000 0.836 0.000 0.000 0.164
#> 7E122E61-7895-4322-97BE-ABC29D7B7EA9 3 0.0000 0.91263 0.000 0.000 1.000 0.000 0.000
#> 60506411-6B29-49B4-9183-F54EE8B02CC4 1 0.4242 0.50085 0.572 0.000 0.000 0.000 0.428
#> ED52DF66-827A-4A8C-8E50-03C85FA04508 4 0.1270 0.81677 0.052 0.000 0.000 0.948 0.000
#> AB3B48ED-CFF9-4D66-BF3A-E9267D57BA14 2 0.0000 0.75092 0.000 1.000 0.000 0.000 0.000
#> 248A7931-1EB5-47E3-A966-E6AF62E21FC1 3 0.0000 0.91263 0.000 0.000 1.000 0.000 0.000
#> CB846F43-7719-4B7E-946B-32E6384F3CC4 5 0.4060 0.10224 0.360 0.000 0.000 0.000 0.640
#> 940E691A-04A2-410F-B1FB-A66A3BFE10E7 3 0.0000 0.91263 0.000 0.000 1.000 0.000 0.000
#> C3842EA2-E3BC-48DE-9B59-92145AC2F716 3 0.0000 0.91263 0.000 0.000 1.000 0.000 0.000
#> 497FB1B2-A998-44F3-8D69-6974314F941D 4 0.6373 -0.25765 0.000 0.416 0.000 0.420 0.164
#> 4BAA88D6-4A88-4D54-9B0E-83365CC85C39 1 0.4215 0.81696 0.772 0.000 0.004 0.052 0.172
#> 7480A3B3-3BF8-4123-8E2E-8C2B52688EC6 5 0.5296 0.12739 0.000 0.472 0.048 0.000 0.480
#> AE3211D1-65C0-46B1-A67F-741C21A7D1C4 2 0.2773 0.77961 0.000 0.836 0.000 0.000 0.164
#> D7244456-CB99-4893-85FE-65082CC4F17C 2 0.2773 0.77961 0.000 0.836 0.000 0.000 0.164
#> C4E0F193-49DC-4A49-84BB-337AAF277145 1 0.2773 0.85500 0.836 0.000 0.000 0.000 0.164
#> E2DF7E97-6BE1-412C-B71D-151B87739653 5 0.3999 0.51067 0.000 0.344 0.000 0.000 0.656
#> 022BCEE2-4794-4D5D-87E5-22CD25FDBA98 3 0.6221 0.13980 0.000 0.300 0.528 0.000 0.172
#> 2AF33CEA-C327-4A31-84D8-C4F26E8A3ECF 4 0.2732 0.76624 0.000 0.160 0.000 0.840 0.000
#> E877B9C0-11C5-4CC8-BAE1-AC210535F3DB 4 0.1469 0.81414 0.016 0.036 0.000 0.948 0.000
#> 0E737E9F-1045-4B86-A290-ED927D5DE7BF 5 0.4283 0.26123 0.000 0.456 0.000 0.000 0.544
#> D1B88E26-3B64-4E1A-8E50-22AD100BD9F9 2 0.0162 0.74946 0.000 0.996 0.000 0.004 0.000
#> 3AEB8943-FE34-4014-B851-BBF83857A794 2 0.2377 0.78153 0.000 0.872 0.000 0.000 0.128
#> BECD727E-E3C1-4C42-9047-D97B7444B20B 2 0.2179 0.65746 0.000 0.888 0.000 0.112 0.000
#> AF866E63-9EA1-4669-B9C4-FC7E877334AE 2 0.6363 0.32875 0.000 0.484 0.052 0.052 0.412
#> F9C8E54A-4CE4-4839-B0CA-58678461EEF1 2 0.5557 0.16231 0.000 0.468 0.464 0.000 0.068
#> AE818BC4-05BF-4E85-A4AD-F3E43DD7D37A 2 0.2773 0.77961 0.000 0.836 0.000 0.000 0.164
#> BA73A860-CADE-408D-8D27-14EADA2B53B0 4 0.1408 0.81133 0.008 0.044 0.000 0.948 0.000
#> 688858C8-48CA-43E9-AE2C-B9D4F80B5EE9 2 0.2773 0.77961 0.000 0.836 0.000 0.000 0.164
#> EB1D52B2-17B3-491E-B484-1235633D6925 5 0.3999 0.51067 0.000 0.344 0.000 0.000 0.656
#> AE261B5D-3881-40B9-8EE7-26B950E0BE16 1 0.2471 0.86620 0.864 0.000 0.000 0.000 0.136
#> 8C9851D5-3091-4DE0-A59E-9122C0CA1CD2 2 0.0162 0.74995 0.000 0.996 0.000 0.000 0.004
#> C8180F95-4E9C-45DB-B959-B47F64167C2D 4 0.3210 0.73343 0.000 0.212 0.000 0.788 0.000
#> 552D3B42-8D22-4B64-B3A2-B3E5D51A8524 2 0.2852 0.77878 0.000 0.828 0.000 0.000 0.172
#> FED9F364-BC3F-4134-BF4B-4D24B0EB8315 1 0.3366 0.80287 0.768 0.000 0.000 0.000 0.232
#> 7B0D7792-C803-4DD0-B9BF-CB83DA2D199A 1 0.0162 0.87317 0.996 0.000 0.000 0.000 0.004
#> B4F82CBB-A47C-44C3-81AC-CF775FF06FCD 1 0.0162 0.87317 0.996 0.000 0.000 0.000 0.004
#> BFAB10CF-5B24-40F7-92E7-C2E60DD779EF 1 0.3752 0.51162 0.708 0.000 0.000 0.000 0.292
#> E4E259E1-48B2-4C76-B113-E46270742F53 5 0.4088 0.48417 0.000 0.368 0.000 0.000 0.632
#> 81FCBC31-367A-4B1C-A832-B133E4A43738 5 0.4641 0.39768 0.000 0.456 0.000 0.012 0.532
#> 8690FA0F-9C1C-4D97-813A-3FB56827FBFC 2 0.1956 0.77395 0.000 0.916 0.000 0.008 0.076
#> 9810CF0C-99D1-445B-B1F9-C956D2438495 3 0.4238 0.79436 0.000 0.000 0.756 0.052 0.192
#> 2F5073E1-9EDD-46B5-95E3-8314E2A5B620 4 0.3994 0.72236 0.068 0.000 0.000 0.792 0.140
#> B454F9FB-439A-43B5-877D-752D0F138AB5 2 0.4624 0.69718 0.000 0.740 0.096 0.000 0.164
#> 287F2B71-92F8-4D14-8249-C1BFBB254BE7 4 0.1270 0.81677 0.052 0.000 0.000 0.948 0.000
#> 52DC920F-0AD5-47CE-BD81-31843876B71E 1 0.0000 0.87386 1.000 0.000 0.000 0.000 0.000
#> 6BAC4B1B-C3FC-4A09-9821-232E510E6A47 4 0.5238 0.50385 0.260 0.000 0.000 0.652 0.088
#> A2B87EED-0D8E-4B20-85D3-FD9CC5E2E806 4 0.3074 0.73591 0.196 0.000 0.000 0.804 0.000
#> 43E6DB93-2DA6-4F0F-BF81-0C3869134D2B 1 0.1205 0.85324 0.956 0.000 0.000 0.040 0.004
#> 09A2ED74-A7C7-4DBB-8EDD-C80D0F0AEFDF 1 0.2471 0.86620 0.864 0.000 0.000 0.000 0.136
#> 35EDCB52-D4B5-4305-8A74-95EFE6F2BFB1 1 0.0162 0.87317 0.996 0.000 0.000 0.000 0.004
#> D5D18AF8-9CC2-496C-A83A-31BBA0195CFD 5 0.4283 0.13631 0.348 0.008 0.000 0.000 0.644
#> 03767EDF-2F8A-41DE-8D80-F4BE861225A3 5 0.4235 0.28740 0.184 0.000 0.040 0.008 0.768
#> 586BC656-AD9C-44EF-9ED4-87DEEB5C8AA6 1 0.0162 0.87317 0.996 0.000 0.000 0.000 0.004
#> 23CA1146-CB1B-4054-A4FF-200B87444BF9 1 0.0162 0.87317 0.996 0.000 0.000 0.000 0.004
#> 910E9B6D-E7D5-4C83-A19C-1EEA6E135639 4 0.1485 0.81495 0.020 0.032 0.000 0.948 0.000
#> F36353A3-6CE6-4347-A78B-0AAD8FAB14AD 1 0.0162 0.87317 0.996 0.000 0.000 0.000 0.004
#> 2045736E-7D0F-4B17-B74B-3B12AEE3E68C 1 0.0510 0.87607 0.984 0.000 0.000 0.000 0.016
#> 5EFA2C2D-30B3-4D66-9601-354711F9FC56 3 0.0000 0.91263 0.000 0.000 1.000 0.000 0.000
#> 3FBD381D-84C8-4680-980B-CC4B7924BE06 2 0.2773 0.77961 0.000 0.836 0.000 0.000 0.164
#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 2 0.3366 0.41660 0.000 0.768 0.000 0.000 0.232
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 1 0.3074 0.83589 0.804 0.000 0.000 0.000 0.196
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 2 0.2773 0.77961 0.000 0.836 0.000 0.000 0.164
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 2 0.4150 0.09636 0.000 0.612 0.000 0.388 0.000
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 1 0.5084 0.66342 0.616 0.000 0.000 0.052 0.332
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 5 0.4074 0.49039 0.000 0.364 0.000 0.000 0.636
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 2 0.0000 0.75092 0.000 1.000 0.000 0.000 0.000
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 4 0.1557 0.81489 0.052 0.000 0.000 0.940 0.008
#> A3343F40-F977-4F9B-856A-28781F10F4CD 2 0.0000 0.75092 0.000 1.000 0.000 0.000 0.000
#> DA144299-5541-47D7-A59E-C92896DF08FC 1 0.3395 0.80316 0.764 0.000 0.000 0.000 0.236
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 2 0.2773 0.77961 0.000 0.836 0.000 0.000 0.164
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.0771 0.86500 0.976 0.000 0.000 0.020 0.004
#> 617447CF-9327-4062-B22C-71A8944C948F 2 0.0000 0.75092 0.000 1.000 0.000 0.000 0.000
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0000 0.87386 1.000 0.000 0.000 0.000 0.000
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 2 0.0162 0.74995 0.000 0.996 0.000 0.000 0.004
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.2471 0.86620 0.864 0.000 0.000 0.000 0.136
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.2605 0.78190 0.000 0.852 0.000 0.000 0.148
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.2471 0.86620 0.864 0.000 0.000 0.000 0.136
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 3 0.0000 0.91263 0.000 0.000 1.000 0.000 0.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 2 0.0000 0.75092 0.000 1.000 0.000 0.000 0.000
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 3 0.4238 0.79436 0.000 0.000 0.756 0.052 0.192
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.2605 0.86203 0.852 0.000 0.000 0.000 0.148
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 4 0.4540 0.45824 0.320 0.000 0.000 0.656 0.024
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.2773 0.77961 0.000 0.836 0.000 0.000 0.164
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 1 0.1608 0.83634 0.928 0.000 0.000 0.000 0.072
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 4 0.4251 0.50265 0.372 0.000 0.000 0.624 0.004
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 3 0.0290 0.90992 0.000 0.000 0.992 0.000 0.008
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 3 0.0290 0.90992 0.000 0.000 0.992 0.000 0.008
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 1 0.2690 0.85878 0.844 0.000 0.000 0.000 0.156
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 5 0.4060 0.10224 0.360 0.000 0.000 0.000 0.640
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.3231 0.68425 0.800 0.000 0.000 0.196 0.004
#> DA1301D3-1F84-46C5-AB44-079493A81A51 5 0.4060 0.10224 0.360 0.000 0.000 0.000 0.640
#> A12B1681-B598-40C3-80FE-1801F3F1189D 4 0.1270 0.81677 0.052 0.000 0.000 0.948 0.000
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 2 0.4219 0.00596 0.000 0.584 0.000 0.000 0.416
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 4 0.3003 0.75007 0.000 0.188 0.000 0.812 0.000
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.3586 0.74721 0.000 0.792 0.020 0.000 0.188
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 4 0.5406 -0.03048 0.000 0.468 0.000 0.476 0.056
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 1 0.2732 0.85692 0.840 0.000 0.000 0.000 0.160
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 3 0.6717 -0.21565 0.000 0.336 0.408 0.000 0.256
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.6320 0.17691 0.000 0.440 0.404 0.000 0.156
#> 1D0379B1-0E99-4E6D-B890-907C92860654 2 0.3949 0.32131 0.000 0.668 0.000 0.332 0.000
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.2773 0.77961 0.000 0.836 0.000 0.000 0.164
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 2 0.2773 0.77961 0.000 0.836 0.000 0.000 0.164
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 2 0.0162 0.74946 0.000 0.996 0.000 0.004 0.000
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.2179 0.80326 0.896 0.000 0.000 0.100 0.004
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.2648 0.78186 0.000 0.848 0.000 0.000 0.152
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.2690 0.85878 0.844 0.000 0.000 0.000 0.156
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.2852 0.77436 0.000 0.828 0.000 0.000 0.172
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.2605 0.86203 0.852 0.000 0.000 0.000 0.148
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.2773 0.77961 0.000 0.836 0.000 0.000 0.164
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 1 0.2929 0.84938 0.820 0.000 0.000 0.000 0.180
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.2605 0.78187 0.000 0.852 0.000 0.000 0.148
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.0324 0.87191 0.992 0.000 0.000 0.004 0.004
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.3085 0.70237 0.000 0.852 0.000 0.116 0.032
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0162 0.87317 0.996 0.000 0.000 0.000 0.004
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.87386 1.000 0.000 0.000 0.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.2690 0.78174 0.000 0.844 0.000 0.000 0.156
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.4479 0.65353 0.700 0.000 0.000 0.264 0.036
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.2773 0.77961 0.000 0.836 0.000 0.000 0.164
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.91263 0.000 0.000 1.000 0.000 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 3 0.4238 0.79436 0.000 0.000 0.756 0.052 0.192
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.0290 0.90992 0.000 0.000 0.992 0.000 0.008
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 4 0.1270 0.80719 0.000 0.052 0.000 0.948 0.000
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 5 0.4151 0.50986 0.000 0.344 0.004 0.000 0.652
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.0290 0.74851 0.000 0.992 0.000 0.000 0.008
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.0290 0.74851 0.000 0.992 0.000 0.000 0.008
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.2732 0.78047 0.000 0.840 0.000 0.000 0.160
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0162 0.87317 0.996 0.000 0.000 0.000 0.004
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.1571 0.83962 0.936 0.000 0.000 0.060 0.004
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.2690 0.85878 0.844 0.000 0.000 0.000 0.156
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0162 0.87317 0.996 0.000 0.000 0.000 0.004
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.4133 0.73522 0.000 0.768 0.000 0.052 0.180
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.2773 0.77961 0.000 0.836 0.000 0.000 0.164
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.1205 0.85346 0.956 0.000 0.000 0.040 0.004
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.2773 0.77961 0.000 0.836 0.000 0.000 0.164
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.0162 0.87317 0.996 0.000 0.000 0.000 0.004
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.4469 0.78504 0.756 0.000 0.000 0.148 0.096
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.91263 0.000 0.000 1.000 0.000 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.2690 0.85878 0.844 0.000 0.000 0.000 0.156
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.3330 0.396315 0.716 0.000 0.000 0.000 0.284 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.900154 0.000 0.000 1.000 0.000 0.000 0.000
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#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.0000 0.576940 0.000 1.000 0.000 0.000 0.000 0.000
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.3833 0.052152 0.556 0.000 0.000 0.000 0.444 0.000
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 3 0.0000 0.900154 0.000 0.000 1.000 0.000 0.000 0.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 2 0.3838 -0.118779 0.000 0.552 0.000 0.000 0.000 0.448
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 3 0.5327 0.582020 0.000 0.000 0.516 0.000 0.372 0.112
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.3866 -0.077567 0.516 0.000 0.000 0.000 0.484 0.000
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 4 0.4734 0.405440 0.152 0.000 0.000 0.680 0.168 0.000
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.0000 0.576940 0.000 1.000 0.000 0.000 0.000 0.000
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 1 0.1141 0.612937 0.948 0.000 0.000 0.000 0.052 0.000
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.3672 0.165121 0.632 0.000 0.000 0.368 0.000 0.000
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 3 0.0000 0.900154 0.000 0.000 1.000 0.000 0.000 0.000
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 3 0.0260 0.893199 0.000 0.008 0.992 0.000 0.000 0.000
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 1 0.3868 -0.115615 0.504 0.000 0.000 0.000 0.496 0.000
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 5 0.4929 0.558062 0.100 0.000 0.000 0.000 0.620 0.280
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.1663 0.586605 0.912 0.000 0.000 0.088 0.000 0.000
#> DA1301D3-1F84-46C5-AB44-079493A81A51 5 0.5027 0.550884 0.100 0.000 0.000 0.000 0.596 0.304
#> A12B1681-B598-40C3-80FE-1801F3F1189D 4 0.0260 0.769839 0.000 0.000 0.000 0.992 0.008 0.000
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 2 0.5173 0.144378 0.000 0.520 0.000 0.000 0.092 0.388
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 4 0.2762 0.599804 0.000 0.000 0.000 0.804 0.000 0.196
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.0146 0.576054 0.000 0.996 0.000 0.000 0.000 0.004
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 4 0.3955 0.108714 0.000 0.436 0.000 0.560 0.004 0.000
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 1 0.3868 -0.115615 0.504 0.000 0.000 0.000 0.496 0.000
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.5557 0.226996 0.000 0.548 0.300 0.000 0.004 0.148
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.3499 0.308367 0.000 0.680 0.320 0.000 0.000 0.000
#> 1D0379B1-0E99-4E6D-B890-907C92860654 6 0.6085 0.478562 0.000 0.272 0.000 0.244 0.008 0.476
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.0000 0.576940 0.000 1.000 0.000 0.000 0.000 0.000
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 2 0.0291 0.574485 0.000 0.992 0.000 0.004 0.004 0.000
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 2 0.3838 -0.118779 0.000 0.552 0.000 0.000 0.000 0.448
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0865 0.633192 0.964 0.000 0.000 0.036 0.000 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.0000 0.576940 0.000 1.000 0.000 0.000 0.000 0.000
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.3868 -0.115615 0.504 0.000 0.000 0.000 0.496 0.000
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.2100 0.520114 0.000 0.884 0.004 0.000 0.000 0.112
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.3868 -0.101628 0.508 0.000 0.000 0.000 0.492 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.0000 0.576940 0.000 1.000 0.000 0.000 0.000 0.000
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 5 0.4882 0.296128 0.428 0.000 0.000 0.000 0.512 0.060
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.0000 0.576940 0.000 1.000 0.000 0.000 0.000 0.000
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.0000 0.655861 1.000 0.000 0.000 0.000 0.000 0.000
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.5023 0.021865 0.000 0.600 0.004 0.312 0.000 0.084
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.655861 1.000 0.000 0.000 0.000 0.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.655861 1.000 0.000 0.000 0.000 0.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.0000 0.576940 0.000 1.000 0.000 0.000 0.000 0.000
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.5781 0.132110 0.488 0.000 0.004 0.344 0.164 0.000
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.0000 0.576940 0.000 1.000 0.000 0.000 0.000 0.000
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.900154 0.000 0.000 1.000 0.000 0.000 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 3 0.5327 0.582020 0.000 0.000 0.516 0.000 0.372 0.112
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.0000 0.900154 0.000 0.000 1.000 0.000 0.000 0.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 4 0.0000 0.772522 0.000 0.000 0.000 1.000 0.000 0.000
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.5730 0.178865 0.000 0.444 0.012 0.000 0.116 0.428
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.3979 -0.137081 0.000 0.540 0.000 0.000 0.004 0.456
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.3838 -0.118779 0.000 0.552 0.000 0.000 0.000 0.448
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.0000 0.576940 0.000 1.000 0.000 0.000 0.000 0.000
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.655861 1.000 0.000 0.000 0.000 0.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0458 0.647463 0.984 0.000 0.000 0.016 0.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 5 0.3868 0.113880 0.496 0.000 0.000 0.000 0.504 0.000
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.1204 0.628907 0.944 0.000 0.000 0.000 0.056 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.2491 0.501370 0.000 0.868 0.000 0.000 0.112 0.020
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.0000 0.576940 0.000 1.000 0.000 0.000 0.000 0.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0547 0.644861 0.980 0.000 0.000 0.020 0.000 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.0146 0.576054 0.000 0.996 0.000 0.000 0.000 0.004
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.0000 0.655861 1.000 0.000 0.000 0.000 0.000 0.000
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.5638 -0.086432 0.464 0.000 0.000 0.152 0.384 0.000
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.900154 0.000 0.000 1.000 0.000 0.000 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.3868 -0.101628 0.508 0.000 0.000 0.000 0.492 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["MAD", "hclust"]
# you can also extract it by
# res = res_list["MAD:hclust"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#> On a matrix with 17654 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'MAD' method.
#> Subgroups are detected by 'hclust' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.268 0.684 0.836 0.4390 0.501 0.501
#> 3 3 0.353 0.559 0.752 0.4330 0.719 0.498
#> 4 4 0.430 0.510 0.691 0.1103 0.916 0.757
#> 5 5 0.491 0.476 0.714 0.0670 0.902 0.674
#> 6 6 0.550 0.422 0.691 0.0457 0.943 0.776
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
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.8298 1.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 2 0.0000 0.7326 0.000 1.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.5059 0.7998 0.888 0.112
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.0000 0.8298 1.000 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.3733 0.8225 0.928 0.072
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.3584 0.8246 0.932 0.068
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 1 0.8499 0.5575 0.724 0.276
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 2 0.9988 0.3065 0.480 0.520
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.4161 0.8173 0.916 0.084
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 1 0.2043 0.8338 0.968 0.032
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.7219 0.7122 0.800 0.200
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 2 0.1843 0.7443 0.028 0.972
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.8298 1.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 2 0.2948 0.7547 0.052 0.948
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 1 0.3733 0.8216 0.928 0.072
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.9209 0.6520 0.336 0.664
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0000 0.8298 1.000 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.8298 1.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 1 0.5629 0.7862 0.868 0.132
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.5059 0.8007 0.888 0.112
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 1 0.8763 0.5589 0.704 0.296
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.2423 0.7497 0.040 0.960
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 1 0.8955 0.4652 0.688 0.312
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0000 0.8298 1.000 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 2 0.9661 0.5166 0.392 0.608
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 1 0.8144 0.6521 0.748 0.252
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.8661 0.7028 0.288 0.712
#> 375FE390-434B-41D3-9029-84065B1D7B6F 2 0.9608 0.5587 0.384 0.616
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 0.8298 1.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.7674 0.7424 0.224 0.776
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.9552 0.5932 0.376 0.624
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.4431 0.7605 0.092 0.908
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.4431 0.7605 0.092 0.908
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.6712 0.7497 0.824 0.176
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 2 0.1843 0.7447 0.028 0.972
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 1 0.9983 -0.1590 0.524 0.476
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 1 0.5737 0.7830 0.864 0.136
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 2 0.0000 0.7326 0.000 1.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.0000 0.8298 1.000 0.000
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 2 0.0000 0.7326 0.000 1.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 1 0.9552 0.2591 0.624 0.376
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 2 0.0000 0.7326 0.000 1.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 2 0.0000 0.7326 0.000 1.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 1 0.5946 0.7761 0.856 0.144
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 1 0.1843 0.8338 0.972 0.028
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.0000 0.8298 1.000 0.000
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 2 0.9732 0.5516 0.404 0.596
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 1 0.8861 0.5703 0.696 0.304
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.0376 0.8310 0.996 0.004
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 1 0.8861 0.5388 0.696 0.304
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.9323 0.6344 0.348 0.652
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 1 0.0672 0.8302 0.992 0.008
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 2 0.0000 0.7326 0.000 1.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.0000 0.8298 1.000 0.000
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#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 1 0.9580 0.2432 0.620 0.380
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 1 0.7815 0.6696 0.768 0.232
#> A3343F40-F977-4F9B-856A-28781F10F4CD 2 0.9732 0.5516 0.404 0.596
#> DA144299-5541-47D7-A59E-C92896DF08FC 1 0.2603 0.8324 0.956 0.044
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 2 0.6887 0.7575 0.184 0.816
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.0000 0.8298 1.000 0.000
#> 617447CF-9327-4062-B22C-71A8944C948F 2 0.9661 0.5670 0.392 0.608
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0000 0.8298 1.000 0.000
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 2 0.9393 0.6254 0.356 0.644
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.0672 0.8316 0.992 0.008
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.7139 0.7521 0.196 0.804
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.0376 0.8307 0.996 0.004
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 2 0.0000 0.7326 0.000 1.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 2 0.9866 0.4796 0.432 0.568
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 2 0.1633 0.7434 0.024 0.976
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.2778 0.8301 0.952 0.048
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 1 0.9491 0.4256 0.632 0.368
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.7674 0.7425 0.224 0.776
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 1 0.8555 0.6164 0.720 0.280
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.0000 0.8298 1.000 0.000
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 2 0.2778 0.7522 0.048 0.952
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 2 0.6973 0.7545 0.188 0.812
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 1 0.2423 0.8330 0.960 0.040
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 2 0.9970 0.2379 0.468 0.532
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.0000 0.8298 1.000 0.000
#> DA1301D3-1F84-46C5-AB44-079493A81A51 1 0.8144 0.6521 0.748 0.252
#> A12B1681-B598-40C3-80FE-1801F3F1189D 1 0.7815 0.6727 0.768 0.232
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 2 0.9970 0.3428 0.468 0.532
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 1 0.2603 0.8189 0.956 0.044
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.4431 0.7624 0.092 0.908
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.9635 0.5731 0.388 0.612
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 1 0.7219 0.7205 0.800 0.200
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.4431 0.7579 0.092 0.908
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.2778 0.7522 0.048 0.952
#> 1D0379B1-0E99-4E6D-B890-907C92860654 2 0.9993 0.2905 0.484 0.516
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 1.0000 0.2807 0.496 0.504
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 1 0.9393 0.3383 0.644 0.356
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 1 0.9580 0.2432 0.620 0.380
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0000 0.8298 1.000 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.9209 0.6501 0.336 0.664
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.2423 0.8330 0.960 0.040
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.4431 0.7579 0.092 0.908
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0000 0.8298 1.000 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.8144 0.7282 0.252 0.748
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 1 0.9087 0.5159 0.676 0.324
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.8499 0.7132 0.276 0.724
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.3879 0.8219 0.924 0.076
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.9358 0.6298 0.352 0.648
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.8298 1.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.8298 1.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.9522 0.5976 0.372 0.628
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.4161 0.8177 0.916 0.084
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.8386 0.7181 0.268 0.732
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 2 0.0000 0.7326 0.000 1.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 2 0.5059 0.7626 0.112 0.888
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 2 0.0376 0.7346 0.004 0.996
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 1 0.0376 0.8302 0.996 0.004
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.3114 0.7545 0.056 0.944
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.9866 0.4796 0.432 0.568
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.9323 0.6347 0.348 0.652
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.9933 0.4361 0.452 0.548
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.8298 1.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.8298 1.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.2948 0.8305 0.948 0.052
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0000 0.8298 1.000 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.6438 0.7622 0.164 0.836
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.8555 0.7119 0.280 0.720
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0000 0.8298 1.000 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.7528 0.7483 0.216 0.784
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.2236 0.8338 0.964 0.036
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.2778 0.8312 0.952 0.048
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 2 0.0000 0.7326 0.000 1.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.2043 0.8334 0.968 0.032
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.84224 1.000 0.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.73125 0.000 0.000 1.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.5873 0.64689 0.684 0.312 0.004
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.2625 0.83978 0.916 0.084 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.5178 0.72793 0.744 0.256 0.000
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.4346 0.78965 0.816 0.184 0.000
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 2 0.8573 0.44756 0.328 0.556 0.116
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 2 0.6258 0.50295 0.052 0.752 0.196
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.5216 0.72193 0.740 0.260 0.000
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 1 0.4654 0.78420 0.792 0.208 0.000
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 2 0.6516 -0.14756 0.480 0.516 0.004
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 3 0.3340 0.72834 0.000 0.120 0.880
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.84224 1.000 0.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 3 0.3412 0.73057 0.000 0.124 0.876
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 1 0.5905 0.55222 0.648 0.352 0.000
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.6659 -0.08543 0.008 0.532 0.460
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0000 0.84224 1.000 0.000 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.84224 1.000 0.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 1 0.6470 0.55246 0.632 0.356 0.012
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.5873 0.64521 0.684 0.312 0.004
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 2 0.6452 0.45853 0.252 0.712 0.036
#> 83453F80-8A68-4A3C-995D-85CFB1011249 3 0.3038 0.73650 0.000 0.104 0.896
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 2 0.7677 0.48745 0.244 0.660 0.096
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0000 0.84224 1.000 0.000 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 2 0.6823 0.40737 0.036 0.668 0.296
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 2 0.7207 0.20106 0.384 0.584 0.032
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.6516 -0.13780 0.004 0.516 0.480
#> 375FE390-434B-41D3-9029-84065B1D7B6F 2 0.7580 0.36742 0.056 0.604 0.340
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 0.84224 1.000 0.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 3 0.5968 0.51139 0.000 0.364 0.636
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.6566 0.21701 0.012 0.612 0.376
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 3 0.5810 0.51543 0.000 0.336 0.664
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 3 0.5810 0.51543 0.000 0.336 0.664
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.7013 0.35607 0.548 0.432 0.020
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 3 0.2537 0.73670 0.000 0.080 0.920
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 2 0.6644 0.53550 0.092 0.748 0.160
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 1 0.6297 0.57628 0.640 0.352 0.008
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0000 0.73125 0.000 0.000 1.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.0592 0.84401 0.988 0.012 0.000
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.0000 0.73125 0.000 0.000 1.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 2 0.7412 0.47167 0.176 0.700 0.124
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.0000 0.73125 0.000 0.000 1.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.0000 0.73125 0.000 0.000 1.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 1 0.6339 0.56355 0.632 0.360 0.008
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 1 0.4702 0.77419 0.788 0.212 0.000
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.1860 0.84416 0.948 0.052 0.000
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 2 0.7306 0.29323 0.044 0.616 0.340
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 2 0.8037 0.29798 0.352 0.572 0.076
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.2625 0.83892 0.916 0.084 0.000
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 2 0.6099 0.48983 0.228 0.740 0.032
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.6625 0.00347 0.008 0.552 0.440
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 1 0.5560 0.63375 0.700 0.300 0.000
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.0000 0.73125 0.000 0.000 1.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.1643 0.84417 0.956 0.044 0.000
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 3 0.5560 0.57428 0.000 0.300 0.700
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 2 0.6999 0.39982 0.052 0.680 0.268
#> 208165C0-229B-49E2-A22A-575CA3157C9E 2 0.6967 0.42789 0.044 0.668 0.288
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 1 0.4953 0.78626 0.808 0.176 0.016
#> 01397021-8495-4D89-885A-166B4DBA0122 3 0.0000 0.73125 0.000 0.000 1.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 3 0.0000 0.73125 0.000 0.000 1.000
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.2625 0.83880 0.916 0.084 0.000
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 2 0.8473 0.46317 0.208 0.616 0.176
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 3 0.5431 0.65538 0.000 0.284 0.716
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 3 0.4452 0.69587 0.000 0.192 0.808
#> AA569A06-0F37-4492-93F3-60A4539A3E82 2 0.6096 0.41037 0.016 0.704 0.280
#> BC53FB75-94CA-48C3-875B-5987037D186F 3 0.5882 0.55438 0.000 0.348 0.652
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 1 0.1289 0.84407 0.968 0.032 0.000
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 3 0.5810 0.51543 0.000 0.336 0.664
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 2 0.6719 0.53433 0.096 0.744 0.160
#> DF67F589-A607-4B95-96B8-4BB344132312 3 0.4452 0.69587 0.000 0.192 0.808
#> A65233E6-C146-4ACF-8DDE-5FB12D8D9637 3 0.0000 0.73125 0.000 0.000 1.000
#> 7578C9A3-FFF8-45C4-AC28-1C6141A9A2AD 1 0.0424 0.84380 0.992 0.008 0.000
#> 4DF775B9-E2FE-4F5E-8329-C37E21C5D10E 2 0.8009 0.42843 0.276 0.624 0.100
#> 5E6B86C6-3D79-47BB-9FAF-CA22659CFEA7 2 0.6754 0.04888 0.432 0.556 0.012
#> 53286128-668B-47EA-9A5F-D768FDCCBE88 1 0.5560 0.59570 0.700 0.300 0.000
#> 01C9F351-97FE-4037-A879-9D96A3DD3FBB 3 0.3116 0.73520 0.000 0.108 0.892
#> 5487DB21-6A58-46AC-A2A1-E343082D41D8 1 0.5958 0.66472 0.692 0.300 0.008
#> 0FB3E997-4E31-4FA6-9654-11C3C0AF8D86 3 0.6521 0.20759 0.004 0.496 0.500
#> A0706E80-FDF9-4721-BEB4-90527F6D38C4 2 0.6291 -0.12308 0.000 0.532 0.468
#> 5260226E-1826-4F54-8237-28993DD2EF04 3 0.0000 0.73125 0.000 0.000 1.000
#> F53F71A7-A399-49AB-8657-019C5C56F48C 2 0.7029 0.08574 0.020 0.540 0.440
#> 008159F2-5247-479A-8BFE-C394888D0B74 2 0.7419 0.44364 0.088 0.680 0.232
#> 9E6BA6FB-35F2-4510-94AE-3E7CDFED3D47 3 0.0000 0.73125 0.000 0.000 1.000
#> F12BE7AC-D2DD-4AD1-AB37-32DC85954F59 2 0.6304 0.50650 0.056 0.752 0.192
#> 38A6BA1F-B444-4155-A168-EC2DF0EE0785 1 0.4842 0.77156 0.776 0.224 0.000
#> B107D1DE-EE52-4E89-B75A-91124BFF99AE 3 0.0000 0.73125 0.000 0.000 1.000
#> D4D16D09-8895-4BEA-ABF7-F11C5D5BDCAA 1 0.4883 0.76957 0.788 0.208 0.004
#> 9A53C473-1364-4BB6-AD36-EF53E0208450 1 0.2625 0.84232 0.916 0.084 0.000
#> F00C0ED6-C811-4F32-BDB4-4ACA7861DC7D 2 0.6659 -0.06342 0.008 0.532 0.460
#> 72618985-CD49-4B6F-8CB0-5EE590FAD09A 2 0.6400 0.50036 0.052 0.740 0.208
#> 978A315F-CCE9-4D03-A680-C0AD60B10557 3 0.6260 0.35356 0.000 0.448 0.552
#> B6EACAED-3944-4510-B685-0BB8D1651D4F 1 0.5982 0.62474 0.668 0.328 0.004
#> EBCF16B4-A804-45EB-8253-0F28A2645729 2 0.8009 0.42843 0.276 0.624 0.100
#> 637DC441-4A75-4DA8-8F65-91FDB5F103C7 2 0.8075 0.43247 0.276 0.620 0.104
#> 89F67654-A246-4307-9B17-4A1C01DB1AED 2 0.6373 0.05851 0.004 0.588 0.408
#> 3A8EB57B-71ED-4169-A8EB-624C67CDBBE1 3 0.5363 0.64093 0.000 0.276 0.724
#> CC4DA9C6-CAB2-44FF-8219-D293ECD07DD4 2 0.7207 0.20106 0.384 0.584 0.032
#> AEC4FDAA-8F60-43CE-8EBB-5629FA662F16 2 0.6553 0.08626 0.008 0.580 0.412
#> BFC0D795-64F4-48B3-AD08-8C564E5E5367 1 0.2261 0.83754 0.932 0.068 0.000
#> 907BBBA4-4E7B-4808-892E-F80525C3CFA3 2 0.6685 0.46568 0.048 0.708 0.244
#> 7F21FA19-1468-4A65-A10A-A9727218A5EF 1 0.0000 0.84224 1.000 0.000 0.000
#> 905A026A-0B13-4AD3-B2BB-9A5AE76920AF 2 0.7926 0.50524 0.216 0.656 0.128
#> 6DDFC760-7BED-4A68-8DDA-9453D0FC9C1D 1 0.0000 0.84224 1.000 0.000 0.000
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#> DA1301D3-1F84-46C5-AB44-079493A81A51 2 0.7207 0.20106 0.384 0.584 0.032
#> A12B1681-B598-40C3-80FE-1801F3F1189D 2 0.6754 0.04888 0.432 0.556 0.012
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 2 0.6804 0.51208 0.072 0.724 0.204
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 1 0.6129 0.57192 0.668 0.324 0.008
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 3 0.4555 0.70579 0.000 0.200 0.800
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.6470 0.25205 0.012 0.632 0.356
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 1 0.7372 0.27654 0.520 0.448 0.032
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 3 0.4452 0.69587 0.000 0.192 0.808
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 3 0.2959 0.73352 0.000 0.100 0.900
#> 1D0379B1-0E99-4E6D-B890-907C92860654 2 0.6304 0.50650 0.056 0.752 0.192
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.5987 0.47524 0.036 0.756 0.208
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 2 0.7926 0.50524 0.216 0.656 0.128
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 2 0.7474 0.46808 0.176 0.696 0.128
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0424 0.84357 0.992 0.008 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.6669 -0.08887 0.008 0.524 0.468
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.4178 0.79876 0.828 0.172 0.000
#> ECC40A03-488E-4076-8A3A-234D968623AD 3 0.4452 0.69587 0.000 0.192 0.808
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.1031 0.84529 0.976 0.024 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 3 0.6442 0.36716 0.004 0.432 0.564
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 2 0.7478 0.37815 0.308 0.632 0.060
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.6683 -0.19291 0.008 0.496 0.496
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.5254 0.71917 0.736 0.264 0.000
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.6540 0.13200 0.008 0.584 0.408
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0237 0.84275 0.996 0.004 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.84224 1.000 0.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.6330 0.09320 0.004 0.600 0.396
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.5156 0.76752 0.776 0.216 0.008
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 3 0.6659 0.27220 0.008 0.460 0.532
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.73125 0.000 0.000 1.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 3 0.4555 0.69449 0.000 0.200 0.800
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.1031 0.73242 0.000 0.024 0.976
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 1 0.3686 0.79532 0.860 0.140 0.000
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 3 0.4974 0.64055 0.000 0.236 0.764
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.6890 0.21298 0.028 0.632 0.340
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.6495 -0.07590 0.004 0.536 0.460
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.7758 0.39523 0.084 0.636 0.280
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0237 0.84266 0.996 0.004 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.84224 1.000 0.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.4605 0.77823 0.796 0.204 0.000
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.2261 0.84139 0.932 0.068 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 3 0.5905 0.54930 0.000 0.352 0.648
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.6516 -0.13772 0.004 0.516 0.480
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0747 0.84476 0.984 0.016 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 3 0.6410 0.40142 0.004 0.420 0.576
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.3551 0.83004 0.868 0.132 0.000
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.4555 0.77884 0.800 0.200 0.000
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.73125 0.000 0.000 1.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.4346 0.79684 0.816 0.184 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.79404 1.000 0.000 0.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.65186 0.000 0.000 1.000 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.4866 0.43286 0.596 0.000 0.000 0.404
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.3249 0.76745 0.852 0.008 0.000 0.140
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.4564 0.58138 0.672 0.000 0.000 0.328
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.4018 0.69760 0.772 0.004 0.000 0.224
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 2 0.8524 0.09387 0.188 0.428 0.044 0.340
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 4 0.6982 0.17954 0.012 0.296 0.108 0.584
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.4605 0.56936 0.664 0.000 0.000 0.336
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 1 0.6472 0.60018 0.640 0.148 0.000 0.212
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 4 0.5943 0.30124 0.360 0.048 0.000 0.592
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 3 0.4364 0.61677 0.000 0.092 0.816 0.092
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.79404 1.000 0.000 0.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 3 0.4374 0.61411 0.000 0.120 0.812 0.068
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 1 0.6911 0.33569 0.540 0.124 0.000 0.336
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.6078 0.47825 0.000 0.620 0.312 0.068
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0188 0.79481 0.996 0.000 0.000 0.004
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.79404 1.000 0.000 0.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 1 0.5263 0.30021 0.544 0.000 0.008 0.448
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.5016 0.44186 0.600 0.004 0.000 0.396
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 4 0.5718 0.59666 0.180 0.072 0.016 0.732
#> 83453F80-8A68-4A3C-995D-85CFB1011249 3 0.3647 0.62927 0.000 0.108 0.852 0.040
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 2 0.5518 0.45847 0.100 0.740 0.004 0.156
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0000 0.79404 1.000 0.000 0.000 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 4 0.6390 0.32880 0.000 0.132 0.224 0.644
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 4 0.4980 0.48868 0.304 0.000 0.016 0.680
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.7584 0.37070 0.000 0.448 0.348 0.204
#> 375FE390-434B-41D3-9029-84065B1D7B6F 4 0.8159 0.08182 0.028 0.244 0.232 0.496
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 0.79404 1.000 0.000 0.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 3 0.6458 0.04522 0.000 0.408 0.520 0.072
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.7325 0.55325 0.000 0.532 0.236 0.232
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 3 0.6607 0.37444 0.000 0.112 0.592 0.296
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 3 0.6607 0.37444 0.000 0.112 0.592 0.296
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 4 0.5691 0.01801 0.460 0.008 0.012 0.520
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 3 0.3107 0.63766 0.000 0.080 0.884 0.036
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 4 0.7323 0.28110 0.044 0.284 0.084 0.588
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 1 0.5290 0.32440 0.552 0.004 0.004 0.440
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0000 0.65186 0.000 0.000 1.000 0.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.0469 0.79531 0.988 0.000 0.000 0.012
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.0000 0.65186 0.000 0.000 1.000 0.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 2 0.4524 0.54284 0.064 0.820 0.012 0.104
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.0000 0.65186 0.000 0.000 1.000 0.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.0000 0.65186 0.000 0.000 1.000 0.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 1 0.5303 0.30305 0.544 0.004 0.004 0.448
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 1 0.6497 0.58255 0.640 0.160 0.000 0.200
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.2216 0.78397 0.908 0.000 0.000 0.092
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 2 0.7229 0.59239 0.008 0.580 0.180 0.232
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 4 0.5977 0.55639 0.264 0.008 0.060 0.668
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.2647 0.77604 0.880 0.000 0.000 0.120
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 4 0.5759 0.56713 0.144 0.100 0.016 0.740
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.6194 0.52122 0.000 0.628 0.288 0.084
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 1 0.7193 0.35756 0.508 0.340 0.000 0.152
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.0000 0.65186 0.000 0.000 1.000 0.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.3013 0.78295 0.888 0.032 0.000 0.080
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 3 0.6298 0.43098 0.000 0.100 0.632 0.268
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 2 0.7234 0.56137 0.012 0.576 0.144 0.268
#> 208165C0-229B-49E2-A22A-575CA3157C9E 4 0.7617 0.11682 0.012 0.268 0.188 0.532
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 1 0.6418 0.63692 0.672 0.112 0.012 0.204
#> 01397021-8495-4D89-885A-166B4DBA0122 3 0.0000 0.65186 0.000 0.000 1.000 0.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 3 0.0000 0.65186 0.000 0.000 1.000 0.000
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.2466 0.78165 0.900 0.004 0.000 0.096
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 2 0.6547 0.54864 0.104 0.712 0.064 0.120
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 3 0.6508 0.37648 0.000 0.296 0.600 0.104
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 3 0.5475 0.46294 0.000 0.308 0.656 0.036
#> AA569A06-0F37-4492-93F3-60A4539A3E82 4 0.7373 -0.09591 0.000 0.316 0.184 0.500
#> BC53FB75-94CA-48C3-875B-5987037D186F 3 0.7129 0.29727 0.000 0.244 0.560 0.196
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 1 0.1635 0.79457 0.948 0.008 0.000 0.044
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 3 0.6607 0.37444 0.000 0.112 0.592 0.296
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 4 0.7545 0.20450 0.052 0.300 0.084 0.564
#> DF67F589-A607-4B95-96B8-4BB344132312 3 0.5475 0.46294 0.000 0.308 0.656 0.036
#> A65233E6-C146-4ACF-8DDE-5FB12D8D9637 3 0.0000 0.65186 0.000 0.000 1.000 0.000
#> 7578C9A3-FFF8-45C4-AC28-1C6141A9A2AD 1 0.0921 0.79635 0.972 0.000 0.000 0.028
#> 4DF775B9-E2FE-4F5E-8329-C37E21C5D10E 4 0.5914 0.62101 0.192 0.012 0.084 0.712
#> 5E6B86C6-3D79-47BB-9FAF-CA22659CFEA7 4 0.4955 0.39838 0.344 0.008 0.000 0.648
#> 53286128-668B-47EA-9A5F-D768FDCCBE88 1 0.6429 0.51620 0.644 0.144 0.000 0.212
#> 01C9F351-97FE-4037-A879-9D96A3DD3FBB 3 0.3850 0.62361 0.000 0.116 0.840 0.044
#> 5487DB21-6A58-46AC-A2A1-E343082D41D8 1 0.4978 0.48006 0.612 0.000 0.004 0.384
#> 0FB3E997-4E31-4FA6-9654-11C3C0AF8D86 2 0.7398 0.33900 0.000 0.456 0.376 0.168
#> A0706E80-FDF9-4721-BEB4-90527F6D38C4 2 0.6170 0.44054 0.000 0.600 0.332 0.068
#> 5260226E-1826-4F54-8237-28993DD2EF04 3 0.0000 0.65186 0.000 0.000 1.000 0.000
#> F53F71A7-A399-49AB-8657-019C5C56F48C 4 0.6766 0.10102 0.000 0.100 0.380 0.520
#> 008159F2-5247-479A-8BFE-C394888D0B74 2 0.6942 0.58237 0.024 0.636 0.116 0.224
#> 9E6BA6FB-35F2-4510-94AE-3E7CDFED3D47 3 0.0000 0.65186 0.000 0.000 1.000 0.000
#> F12BE7AC-D2DD-4AD1-AB37-32DC85954F59 4 0.7040 0.18357 0.016 0.296 0.104 0.584
#> 38A6BA1F-B444-4155-A168-EC2DF0EE0785 1 0.6366 0.61131 0.640 0.120 0.000 0.240
#> B107D1DE-EE52-4E89-B75A-91124BFF99AE 3 0.0000 0.65186 0.000 0.000 1.000 0.000
#> D4D16D09-8895-4BEA-ABF7-F11C5D5BDCAA 1 0.4277 0.65645 0.720 0.000 0.000 0.280
#> 9A53C473-1364-4BB6-AD36-EF53E0208450 1 0.2944 0.77806 0.868 0.004 0.000 0.128
#> F00C0ED6-C811-4F32-BDB4-4ACA7861DC7D 2 0.6202 0.48954 0.000 0.612 0.312 0.076
#> 72618985-CD49-4B6F-8CB0-5EE590FAD09A 4 0.7279 0.20752 0.024 0.268 0.120 0.588
#> 978A315F-CCE9-4D03-A680-C0AD60B10557 2 0.6862 0.27937 0.000 0.488 0.408 0.104
#> B6EACAED-3944-4510-B685-0BB8D1651D4F 1 0.4907 0.39564 0.580 0.000 0.000 0.420
#> EBCF16B4-A804-45EB-8253-0F28A2645729 4 0.5914 0.62101 0.192 0.012 0.084 0.712
#> 637DC441-4A75-4DA8-8F65-91FDB5F103C7 4 0.5975 0.62215 0.192 0.012 0.088 0.708
#> 89F67654-A246-4307-9B17-4A1C01DB1AED 2 0.5817 0.53503 0.000 0.676 0.248 0.076
#> 3A8EB57B-71ED-4169-A8EB-624C67CDBBE1 3 0.6317 0.38262 0.000 0.280 0.624 0.096
#> CC4DA9C6-CAB2-44FF-8219-D293ECD07DD4 4 0.4980 0.48868 0.304 0.000 0.016 0.680
#> AEC4FDAA-8F60-43CE-8EBB-5629FA662F16 2 0.6851 0.53586 0.000 0.584 0.268 0.148
#> BFC0D795-64F4-48B3-AD08-8C564E5E5367 1 0.2300 0.78822 0.920 0.016 0.000 0.064
#> 907BBBA4-4E7B-4808-892E-F80525C3CFA3 4 0.6627 0.38502 0.012 0.148 0.180 0.660
#> 7F21FA19-1468-4A65-A10A-A9727218A5EF 1 0.0000 0.79404 1.000 0.000 0.000 0.000
#> 905A026A-0B13-4AD3-B2BB-9A5AE76920AF 2 0.6675 0.41105 0.092 0.644 0.020 0.244
#> 6DDFC760-7BED-4A68-8DDA-9453D0FC9C1D 1 0.0000 0.79404 1.000 0.000 0.000 0.000
#> B3AFF323-BAAD-4512-A837-20C430EA39D1 1 0.4584 0.62410 0.696 0.000 0.004 0.300
#> 193E9034-42A2-4701-AA3E-2E852CA5C043 1 0.0000 0.79404 1.000 0.000 0.000 0.000
#> 8B6127D5-D3BB-4E17-914C-3ED1E2A52078 2 0.7229 0.59239 0.008 0.580 0.180 0.232
#> BD6E5E3C-DC43-4A85-84DF-84C68ABB851A 2 0.6599 0.56650 0.012 0.640 0.100 0.248
#> 881EACBD-B314-4A9E-A6DE-58DF9466AFB3 1 0.6423 0.59200 0.648 0.156 0.000 0.196
#> 195A6DF6-437D-4964-8872-C44F13E2CA4C 3 0.6597 0.37036 0.000 0.108 0.588 0.304
#> C40FD0B3-4773-490D-A342-B1CE8CC0A5BD 1 0.0817 0.79618 0.976 0.000 0.000 0.024
#> 613454BF-1A66-4DBB-90D0-246FC212DA4A 4 0.5722 0.61905 0.192 0.012 0.072 0.724
#> 5F121320-0F61-4BC0-BB69-F5C9A93BC118 1 0.0336 0.79556 0.992 0.000 0.000 0.008
#> E5637874-962B-4C43-8339-A6625D754DA8 2 0.8524 0.09387 0.188 0.428 0.044 0.340
#> 7614BF19-E3A2-492A-ABC0-557B274CA326 1 0.1022 0.79580 0.968 0.000 0.000 0.032
#> 6EB070B1-45C3-46DB-BFF9-6D9A137EC3A8 4 0.7434 0.23128 0.056 0.312 0.068 0.564
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#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.6386 0.51747 0.648 0.140 0.000 0.212
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 4 0.5975 0.62215 0.192 0.012 0.088 0.708
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.6507 0.12130 0.000 0.464 0.464 0.072
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 4 0.5648 0.52839 0.284 0.008 0.036 0.672
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.1474 0.79393 0.948 0.000 0.000 0.052
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 3 0.3653 0.61550 0.000 0.128 0.844 0.028
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 3 0.6253 0.12171 0.000 0.396 0.544 0.060
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 1 0.3873 0.70476 0.772 0.000 0.000 0.228
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 4 0.6855 0.48919 0.096 0.024 0.248 0.632
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.0921 0.79669 0.972 0.000 0.000 0.028
#> DA1301D3-1F84-46C5-AB44-079493A81A51 4 0.4980 0.48868 0.304 0.000 0.016 0.680
#> A12B1681-B598-40C3-80FE-1801F3F1189D 4 0.4955 0.39838 0.344 0.008 0.000 0.648
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 4 0.7197 0.30413 0.024 0.240 0.128 0.608
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 1 0.7192 0.34149 0.508 0.360 0.004 0.128
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 3 0.5744 0.53448 0.000 0.184 0.708 0.108
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.7199 0.56848 0.000 0.552 0.216 0.232
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 4 0.5558 0.11189 0.432 0.000 0.020 0.548
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 3 0.5475 0.46294 0.000 0.308 0.656 0.036
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 3 0.3653 0.61550 0.000 0.128 0.844 0.028
#> 1D0379B1-0E99-4E6D-B890-907C92860654 4 0.7040 0.18357 0.016 0.296 0.104 0.584
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 4 0.7216 -0.00671 0.008 0.272 0.152 0.568
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 2 0.6703 0.40798 0.092 0.640 0.020 0.248
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 2 0.4641 0.54742 0.064 0.816 0.016 0.104
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0592 0.79544 0.984 0.000 0.000 0.016
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.6258 0.47384 0.000 0.600 0.324 0.076
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.3873 0.70476 0.772 0.000 0.000 0.228
#> ECC40A03-488E-4076-8A3A-234D968623AD 3 0.5475 0.46294 0.000 0.308 0.656 0.036
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.1302 0.79474 0.956 0.000 0.000 0.044
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.6780 0.26349 0.000 0.488 0.416 0.096
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 4 0.5464 0.59544 0.220 0.012 0.044 0.724
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.7429 0.35327 0.000 0.464 0.360 0.176
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.4605 0.57640 0.664 0.000 0.000 0.336
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.7425 0.51405 0.000 0.508 0.280 0.212
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0336 0.79437 0.992 0.000 0.000 0.008
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.79404 1.000 0.000 0.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.5757 0.54461 0.000 0.684 0.240 0.076
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.4456 0.65145 0.716 0.000 0.004 0.280
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.7049 0.33012 0.000 0.484 0.392 0.124
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.65186 0.000 0.000 1.000 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 3 0.5179 0.52219 0.000 0.220 0.728 0.052
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.1109 0.64710 0.000 0.028 0.968 0.004
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 1 0.5576 0.61876 0.720 0.184 0.000 0.096
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 3 0.5494 0.51738 0.000 0.076 0.716 0.208
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.5925 0.57774 0.004 0.700 0.196 0.100
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.6170 0.44756 0.000 0.600 0.332 0.068
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.8122 0.52614 0.036 0.496 0.164 0.304
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0188 0.79470 0.996 0.000 0.000 0.004
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.79404 1.000 0.000 0.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.4401 0.66598 0.724 0.004 0.000 0.272
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.2345 0.78230 0.900 0.000 0.000 0.100
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 3 0.7182 0.28507 0.000 0.248 0.552 0.200
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.7789 0.30937 0.000 0.400 0.352 0.248
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0817 0.79639 0.976 0.000 0.000 0.024
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 3 0.7583 0.06990 0.000 0.280 0.480 0.240
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.3672 0.76249 0.824 0.012 0.000 0.164
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.4103 0.67304 0.744 0.000 0.000 0.256
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.65186 0.000 0.000 1.000 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.4072 0.68801 0.748 0.000 0.000 0.252
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0162 0.71568 0.996 0.000 0.000 0.004 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.69765 0.000 0.000 1.000 0.000 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 5 0.4446 -0.18100 0.476 0.000 0.000 0.004 0.520
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.3696 0.64227 0.772 0.000 0.000 0.016 0.212
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.4390 0.42508 0.568 0.000 0.000 0.004 0.428
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.3870 0.59308 0.732 0.004 0.000 0.004 0.260
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 2 0.8449 0.08116 0.084 0.364 0.024 0.312 0.216
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 5 0.6981 0.19732 0.004 0.348 0.056 0.096 0.496
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.4403 0.40304 0.560 0.000 0.000 0.004 0.436
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 4 0.6064 0.61009 0.420 0.000 0.000 0.460 0.120
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 5 0.5676 0.40569 0.240 0.004 0.000 0.124 0.632
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 3 0.4021 0.61593 0.000 0.168 0.780 0.000 0.052
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0162 0.71568 0.996 0.000 0.000 0.004 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 3 0.4333 0.57958 0.000 0.188 0.752 0.000 0.060
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 1 0.7452 0.07708 0.452 0.092 0.000 0.120 0.336
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.4351 0.56729 0.000 0.724 0.244 0.028 0.004
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0451 0.71853 0.988 0.000 0.000 0.004 0.008
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0162 0.71568 0.996 0.000 0.000 0.004 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 5 0.4538 -0.00452 0.428 0.000 0.004 0.004 0.564
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.4450 0.23554 0.508 0.004 0.000 0.000 0.488
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 5 0.5312 0.54180 0.080 0.060 0.012 0.092 0.756
#> 83453F80-8A68-4A3C-995D-85CFB1011249 3 0.3399 0.62404 0.000 0.168 0.812 0.000 0.020
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 2 0.5391 0.39813 0.020 0.632 0.000 0.304 0.044
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0162 0.71568 0.996 0.000 0.000 0.004 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 5 0.6346 0.36769 0.000 0.212 0.164 0.024 0.600
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 5 0.3412 0.54629 0.172 0.000 0.008 0.008 0.812
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.6059 0.51456 0.000 0.588 0.268 0.008 0.136
#> 375FE390-434B-41D3-9029-84065B1D7B6F 5 0.7160 0.11254 0.008 0.332 0.160 0.028 0.472
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0162 0.71568 0.996 0.000 0.000 0.004 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.4617 0.31889 0.000 0.552 0.436 0.000 0.012
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.5523 0.59730 0.000 0.688 0.144 0.016 0.152
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 3 0.6399 0.31999 0.000 0.188 0.528 0.004 0.280
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 3 0.6399 0.31999 0.000 0.188 0.528 0.004 0.280
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 5 0.4536 0.26948 0.344 0.008 0.008 0.000 0.640
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 3 0.2825 0.65141 0.000 0.124 0.860 0.000 0.016
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 5 0.7045 0.29912 0.028 0.320 0.044 0.076 0.532
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 5 0.4557 -0.04289 0.440 0.004 0.004 0.000 0.552
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0000 0.69765 0.000 0.000 1.000 0.000 0.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.0955 0.71808 0.968 0.000 0.000 0.004 0.028
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.0000 0.69765 0.000 0.000 1.000 0.000 0.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 2 0.4133 0.50945 0.012 0.744 0.000 0.232 0.012
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.0000 0.69765 0.000 0.000 1.000 0.000 0.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.0000 0.69765 0.000 0.000 1.000 0.000 0.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 5 0.4538 -0.00308 0.428 0.004 0.004 0.000 0.564
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 4 0.5775 0.67928 0.424 0.004 0.000 0.496 0.076
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.2848 0.68294 0.840 0.000 0.000 0.004 0.156
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 2 0.5698 0.61548 0.004 0.708 0.116 0.044 0.128
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 5 0.4261 0.56468 0.160 0.012 0.048 0.000 0.780
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.3053 0.68233 0.828 0.000 0.000 0.008 0.164
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 5 0.5646 0.51966 0.056 0.116 0.008 0.096 0.724
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.3840 0.59990 0.000 0.780 0.196 0.016 0.008
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 4 0.4670 0.63975 0.188 0.064 0.000 0.740 0.008
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.0000 0.69765 0.000 0.000 1.000 0.000 0.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.3994 0.55214 0.792 0.000 0.000 0.140 0.068
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 3 0.6063 0.37499 0.000 0.176 0.568 0.000 0.256
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 2 0.6703 0.56180 0.000 0.604 0.096 0.096 0.204
#> 208165C0-229B-49E2-A22A-575CA3157C9E 5 0.6591 0.13247 0.000 0.364 0.120 0.024 0.492
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 1 0.7086 -0.41613 0.448 0.016 0.008 0.348 0.180
#> 01397021-8495-4D89-885A-166B4DBA0122 3 0.0000 0.69765 0.000 0.000 1.000 0.000 0.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 3 0.0000 0.69765 0.000 0.000 1.000 0.000 0.000
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.2445 0.69997 0.884 0.004 0.000 0.004 0.108
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 2 0.5042 0.49342 0.024 0.700 0.024 0.244 0.008
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 3 0.5524 0.11786 0.000 0.428 0.516 0.008 0.048
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 3 0.5556 0.32801 0.000 0.364 0.572 0.052 0.012
#> AA569A06-0F37-4492-93F3-60A4539A3E82 5 0.6995 -0.06524 0.000 0.400 0.132 0.040 0.428
#> BC53FB75-94CA-48C3-875B-5987037D186F 3 0.6172 0.11662 0.000 0.356 0.500 0.000 0.144
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 1 0.1943 0.71204 0.924 0.000 0.000 0.020 0.056
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 3 0.6399 0.31999 0.000 0.188 0.528 0.004 0.280
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 5 0.7075 0.22658 0.036 0.360 0.040 0.064 0.500
#> DF67F589-A607-4B95-96B8-4BB344132312 3 0.5556 0.32801 0.000 0.364 0.572 0.052 0.012
#> A65233E6-C146-4ACF-8DDE-5FB12D8D9637 3 0.0000 0.69765 0.000 0.000 1.000 0.000 0.000
#> 7578C9A3-FFF8-45C4-AC28-1C6141A9A2AD 1 0.1502 0.71611 0.940 0.000 0.000 0.004 0.056
#> 4DF775B9-E2FE-4F5E-8329-C37E21C5D10E 5 0.3846 0.58588 0.084 0.012 0.068 0.004 0.832
#> 5E6B86C6-3D79-47BB-9FAF-CA22659CFEA7 5 0.4037 0.49555 0.224 0.004 0.000 0.020 0.752
#> 53286128-668B-47EA-9A5F-D768FDCCBE88 1 0.6020 0.23719 0.624 0.016 0.000 0.220 0.140
#> 01C9F351-97FE-4037-A879-9D96A3DD3FBB 3 0.3399 0.62045 0.000 0.168 0.812 0.000 0.020
#> 5487DB21-6A58-46AC-A2A1-E343082D41D8 1 0.4452 0.25398 0.500 0.000 0.004 0.000 0.496
#> 0FB3E997-4E31-4FA6-9654-11C3C0AF8D86 2 0.5790 0.52230 0.000 0.604 0.288 0.008 0.100
#> A0706E80-FDF9-4721-BEB4-90527F6D38C4 2 0.4142 0.54969 0.000 0.728 0.252 0.016 0.004
#> 5260226E-1826-4F54-8237-28993DD2EF04 3 0.0000 0.69765 0.000 0.000 1.000 0.000 0.000
#> F53F71A7-A399-49AB-8657-019C5C56F48C 5 0.6949 0.16572 0.000 0.184 0.316 0.024 0.476
#> 008159F2-5247-479A-8BFE-C394888D0B74 2 0.6686 0.57645 0.004 0.624 0.076 0.132 0.164
#> 9E6BA6FB-35F2-4510-94AE-3E7CDFED3D47 3 0.0000 0.69765 0.000 0.000 1.000 0.000 0.000
#> F12BE7AC-D2DD-4AD1-AB37-32DC85954F59 5 0.7036 0.20126 0.008 0.348 0.052 0.096 0.496
#> 38A6BA1F-B444-4155-A168-EC2DF0EE0785 1 0.6503 -0.40353 0.436 0.000 0.000 0.372 0.192
#> B107D1DE-EE52-4E89-B75A-91124BFF99AE 3 0.0000 0.69765 0.000 0.000 1.000 0.000 0.000
#> D4D16D09-8895-4BEA-ABF7-F11C5D5BDCAA 1 0.4182 0.53922 0.644 0.000 0.000 0.004 0.352
#> 9A53C473-1364-4BB6-AD36-EF53E0208450 1 0.3304 0.67187 0.816 0.000 0.000 0.016 0.168
#> F00C0ED6-C811-4F32-BDB4-4ACA7861DC7D 2 0.3845 0.58539 0.000 0.760 0.224 0.012 0.004
#> 72618985-CD49-4B6F-8CB0-5EE590FAD09A 5 0.6813 0.22359 0.016 0.344 0.076 0.040 0.524
#> 978A315F-CCE9-4D03-A680-C0AD60B10557 2 0.4736 0.50732 0.000 0.656 0.312 0.004 0.028
#> B6EACAED-3944-4510-B685-0BB8D1651D4F 5 0.4437 -0.13837 0.464 0.000 0.000 0.004 0.532
#> EBCF16B4-A804-45EB-8253-0F28A2645729 5 0.3846 0.58588 0.084 0.012 0.068 0.004 0.832
#> 637DC441-4A75-4DA8-8F65-91FDB5F103C7 5 0.3693 0.58648 0.080 0.012 0.072 0.000 0.836
#> 89F67654-A246-4307-9B17-4A1C01DB1AED 2 0.3645 0.58182 0.000 0.804 0.168 0.024 0.004
#> 3A8EB57B-71ED-4169-A8EB-624C67CDBBE1 3 0.5330 0.13694 0.000 0.396 0.548 0.000 0.056
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#> B454F9FB-439A-43B5-877D-752D0F138AB5 3 0.5213 0.42817 0.000 0.284 0.640 0.000 0.076
#> 287F2B71-92F8-4D14-8249-C1BFBB254BE7 1 0.3994 0.55214 0.792 0.000 0.000 0.140 0.068
#> 52DC920F-0AD5-47CE-BD81-31843876B71E 1 0.2284 0.70930 0.896 0.004 0.000 0.004 0.096
#> 6BAC4B1B-C3FC-4A09-9821-232E510E6A47 5 0.4067 0.49046 0.228 0.004 0.000 0.020 0.748
#> A2B87EED-0D8E-4B20-85D3-FD9CC5E2E806 1 0.0798 0.71837 0.976 0.000 0.000 0.008 0.016
#> 43E6DB93-2DA6-4F0F-BF81-0C3869134D2B 1 0.0798 0.71837 0.976 0.000 0.000 0.008 0.016
#> 09A2ED74-A7C7-4DBB-8EDD-C80D0F0AEFDF 1 0.3817 0.60143 0.740 0.004 0.000 0.004 0.252
#> 35EDCB52-D4B5-4305-8A74-95EFE6F2BFB1 5 0.4216 0.58358 0.112 0.012 0.068 0.004 0.804
#> D5D18AF8-9CC2-496C-A83A-31BBA0195CFD 5 0.5543 0.48724 0.088 0.068 0.000 0.124 0.720
#> 03767EDF-2F8A-41DE-8D80-F4BE861225A3 5 0.7198 0.36552 0.008 0.092 0.096 0.252 0.552
#> 586BC656-AD9C-44EF-9ED4-87DEEB5C8AA6 1 0.0798 0.71897 0.976 0.000 0.000 0.008 0.016
#> 23CA1146-CB1B-4054-A4FF-200B87444BF9 1 0.0324 0.71701 0.992 0.000 0.000 0.004 0.004
#> 910E9B6D-E7D5-4C83-A19C-1EEA6E135639 1 0.7063 -0.41588 0.452 0.016 0.008 0.348 0.176
#> F36353A3-6CE6-4347-A78B-0AAD8FAB14AD 1 0.0162 0.71568 0.996 0.000 0.000 0.004 0.000
#> 2045736E-7D0F-4B17-B74B-3B12AEE3E68C 1 0.0290 0.71652 0.992 0.000 0.000 0.008 0.000
#> 5EFA2C2D-30B3-4D66-9601-354711F9FC56 3 0.0000 0.69765 0.000 0.000 1.000 0.000 0.000
#> 3FBD381D-84C8-4680-980B-CC4B7924BE06 2 0.5421 0.51076 0.000 0.612 0.320 0.008 0.060
#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 5 0.7136 0.41990 0.076 0.196 0.004 0.156 0.568
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 1 0.4705 0.24900 0.504 0.000 0.004 0.008 0.484
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 2 0.4338 0.61015 0.000 0.760 0.192 0.012 0.036
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 2 0.5138 0.58659 0.000 0.684 0.252 0.028 0.036
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 5 0.4531 0.01036 0.424 0.000 0.004 0.004 0.568
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 3 0.6072 0.37488 0.000 0.180 0.568 0.000 0.252
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 2 0.4074 0.51452 0.012 0.752 0.000 0.224 0.012
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 5 0.4379 0.50169 0.220 0.008 0.000 0.032 0.740
#> A3343F40-F977-4F9B-856A-28781F10F4CD 2 0.5655 0.61677 0.004 0.712 0.116 0.044 0.124
#> DA144299-5541-47D7-A59E-C92896DF08FC 1 0.4238 0.51679 0.628 0.000 0.000 0.004 0.368
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 3 0.5440 -0.12153 0.000 0.468 0.480 0.004 0.048
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.0162 0.71568 0.996 0.000 0.000 0.004 0.000
#> 617447CF-9327-4062-B22C-71A8944C948F 2 0.6243 0.56226 0.000 0.620 0.132 0.032 0.216
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0324 0.71701 0.992 0.000 0.000 0.004 0.004
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 2 0.4270 0.60008 0.000 0.764 0.188 0.040 0.008
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.2179 0.70733 0.896 0.000 0.000 0.004 0.100
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.4425 0.26789 0.000 0.544 0.452 0.004 0.000
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.1282 0.72029 0.952 0.000 0.000 0.004 0.044
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 3 0.0000 0.69765 0.000 0.000 1.000 0.000 0.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 2 0.4070 0.60466 0.000 0.808 0.124 0.048 0.020
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 3 0.2233 0.65422 0.000 0.104 0.892 0.000 0.004
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.6143 0.23802 0.612 0.016 0.000 0.212 0.160
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 5 0.3693 0.58648 0.080 0.012 0.072 0.000 0.836
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.4225 0.43787 0.000 0.632 0.364 0.000 0.004
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 5 0.3715 0.56387 0.156 0.008 0.020 0.004 0.812
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.1628 0.71928 0.936 0.000 0.000 0.008 0.056
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 3 0.3196 0.59251 0.000 0.192 0.804 0.000 0.004
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 2 0.4440 0.23321 0.000 0.528 0.468 0.004 0.000
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 1 0.3969 0.58243 0.692 0.000 0.000 0.004 0.304
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 5 0.4769 0.49378 0.008 0.056 0.216 0.000 0.720
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.0992 0.72074 0.968 0.000 0.000 0.008 0.024
#> DA1301D3-1F84-46C5-AB44-079493A81A51 5 0.3412 0.54629 0.172 0.000 0.008 0.008 0.812
#> A12B1681-B598-40C3-80FE-1801F3F1189D 5 0.4037 0.49555 0.224 0.004 0.000 0.020 0.752
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 5 0.7165 0.32235 0.012 0.296 0.076 0.084 0.532
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 4 0.5134 0.62131 0.188 0.108 0.000 0.700 0.004
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 3 0.5213 0.42817 0.000 0.284 0.640 0.000 0.076
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.5322 0.60447 0.000 0.708 0.128 0.016 0.148
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 5 0.4553 0.31158 0.328 0.000 0.016 0.004 0.652
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 3 0.5556 0.32801 0.000 0.364 0.572 0.052 0.012
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 3 0.3196 0.59251 0.000 0.192 0.804 0.000 0.004
#> 1D0379B1-0E99-4E6D-B890-907C92860654 5 0.7036 0.20126 0.008 0.348 0.052 0.096 0.496
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 5 0.8171 -0.01496 0.008 0.272 0.116 0.180 0.424
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 2 0.7122 0.39517 0.032 0.520 0.008 0.264 0.176
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 2 0.4074 0.51452 0.012 0.752 0.000 0.224 0.012
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0671 0.71932 0.980 0.000 0.000 0.004 0.016
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.3990 0.57600 0.000 0.740 0.244 0.012 0.004
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.3969 0.58243 0.692 0.000 0.000 0.004 0.304
#> ECC40A03-488E-4076-8A3A-234D968623AD 3 0.5556 0.32801 0.000 0.364 0.572 0.052 0.012
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.1502 0.71909 0.940 0.000 0.000 0.004 0.056
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.4661 0.51001 0.000 0.656 0.312 0.000 0.032
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 5 0.3218 0.58126 0.096 0.012 0.032 0.000 0.860
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.5816 0.51160 0.000 0.604 0.284 0.008 0.104
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.4359 0.44405 0.584 0.000 0.000 0.004 0.412
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.5727 0.58988 0.000 0.656 0.192 0.012 0.140
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0290 0.71889 0.992 0.000 0.000 0.000 0.008
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0162 0.71568 0.996 0.000 0.000 0.004 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.3566 0.58860 0.000 0.812 0.160 0.024 0.004
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.4512 0.48038 0.628 0.004 0.004 0.004 0.360
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.5501 0.52210 0.000 0.612 0.312 0.008 0.068
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.69765 0.000 0.000 1.000 0.000 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 3 0.3990 0.42799 0.000 0.308 0.688 0.000 0.004
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.0880 0.68617 0.000 0.032 0.968 0.000 0.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 4 0.4415 0.67620 0.444 0.000 0.000 0.552 0.004
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 3 0.5444 0.47496 0.000 0.140 0.656 0.000 0.204
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.4070 0.60466 0.000 0.808 0.124 0.048 0.020
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.4169 0.54997 0.000 0.724 0.256 0.016 0.004
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.7578 0.50658 0.012 0.536 0.124 0.108 0.220
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0324 0.71734 0.992 0.000 0.000 0.004 0.004
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0162 0.71568 0.996 0.000 0.000 0.004 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.4511 0.51665 0.628 0.000 0.000 0.016 0.356
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.2561 0.69361 0.856 0.000 0.000 0.000 0.144
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 3 0.6218 0.09834 0.000 0.364 0.488 0.000 0.148
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.6508 0.44886 0.000 0.540 0.268 0.012 0.180
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0992 0.72091 0.968 0.000 0.000 0.008 0.024
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 3 0.6518 -0.15048 0.000 0.396 0.412 0.000 0.192
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.3914 0.64380 0.788 0.000 0.000 0.048 0.164
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.4166 0.54035 0.648 0.000 0.000 0.004 0.348
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.69765 0.000 0.000 1.000 0.000 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.4118 0.55479 0.660 0.000 0.000 0.004 0.336
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.754380 1.000 0.000 0.000 0.000 0.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.691599 0.000 0.000 1.000 0.000 0.000 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 5 0.4887 0.210014 0.332 0.000 0.000 0.040 0.608 0.020
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.5091 0.554218 0.664 0.008 0.000 0.048 0.248 0.032
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 5 0.5063 -0.073542 0.416 0.000 0.000 0.044 0.524 0.016
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.4190 0.533262 0.668 0.000 0.000 0.016 0.304 0.012
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 2 0.8370 -0.326990 0.032 0.320 0.012 0.276 0.168 0.192
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 5 0.7066 -0.181849 0.004 0.284 0.008 0.036 0.372 0.296
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 5 0.4860 -0.036123 0.412 0.000 0.000 0.036 0.540 0.012
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 4 0.6066 0.721808 0.328 0.000 0.000 0.512 0.124 0.036
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 5 0.4866 0.385531 0.136 0.000 0.000 0.140 0.704 0.020
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 3 0.4647 0.579375 0.000 0.164 0.736 0.004 0.036 0.060
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.754380 1.000 0.000 0.000 0.000 0.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 3 0.4993 0.515295 0.000 0.208 0.692 0.004 0.052 0.044
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 1 0.7937 -0.072761 0.364 0.088 0.000 0.092 0.336 0.120
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.4057 0.559134 0.000 0.756 0.180 0.012 0.000 0.052
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0260 0.757358 0.992 0.000 0.000 0.000 0.008 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.754380 1.000 0.000 0.000 0.000 0.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 5 0.4601 0.330784 0.280 0.000 0.004 0.032 0.668 0.016
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 5 0.4310 0.085650 0.404 0.000 0.000 0.016 0.576 0.004
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 5 0.5953 0.132815 0.036 0.036 0.000 0.052 0.584 0.292
#> 83453F80-8A68-4A3C-995D-85CFB1011249 3 0.3788 0.584119 0.000 0.188 0.772 0.004 0.012 0.024
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 2 0.5855 0.156153 0.004 0.588 0.000 0.232 0.024 0.152
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0000 0.754380 1.000 0.000 0.000 0.000 0.000 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 5 0.6817 0.022085 0.000 0.136 0.108 0.000 0.476 0.280
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 5 0.2117 0.458357 0.064 0.004 0.004 0.004 0.912 0.012
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.6000 0.534551 0.000 0.620 0.188 0.004 0.108 0.080
#> 375FE390-434B-41D3-9029-84065B1D7B6F 5 0.7310 -0.097006 0.000 0.288 0.096 0.008 0.408 0.200
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0146 0.755684 0.996 0.000 0.000 0.000 0.004 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.4679 0.438464 0.000 0.612 0.344 0.004 0.008 0.032
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.5303 0.485252 0.000 0.692 0.076 0.000 0.120 0.112
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 3 0.7153 0.240227 0.000 0.156 0.456 0.000 0.216 0.172
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 3 0.7153 0.240227 0.000 0.156 0.456 0.000 0.216 0.172
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 5 0.4150 0.419478 0.256 0.000 0.004 0.008 0.708 0.024
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 3 0.3225 0.621680 0.000 0.136 0.828 0.004 0.008 0.024
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 5 0.6867 -0.124295 0.004 0.248 0.008 0.028 0.420 0.292
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 5 0.4224 0.253595 0.336 0.000 0.000 0.016 0.640 0.008
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0000 0.691599 0.000 0.000 1.000 0.000 0.000 0.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.0713 0.754918 0.972 0.000 0.000 0.000 0.028 0.000
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.0000 0.691599 0.000 0.000 1.000 0.000 0.000 0.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 2 0.4739 0.299844 0.004 0.692 0.000 0.160 0.000 0.144
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.0000 0.691599 0.000 0.000 1.000 0.000 0.000 0.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.0000 0.691599 0.000 0.000 1.000 0.000 0.000 0.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 5 0.4179 0.278963 0.324 0.000 0.000 0.016 0.652 0.008
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 4 0.5627 0.749642 0.340 0.000 0.000 0.552 0.064 0.044
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.4132 0.625975 0.736 0.000 0.000 0.036 0.212 0.016
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 2 0.5124 0.497108 0.000 0.728 0.060 0.016 0.080 0.116
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 5 0.3552 0.450469 0.088 0.000 0.040 0.000 0.828 0.044
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.4176 0.619819 0.720 0.000 0.000 0.036 0.232 0.012
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 5 0.6206 -0.040387 0.024 0.080 0.000 0.032 0.512 0.352
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#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 3 0.4269 0.340104 0.000 0.340 0.636 0.004 0.004 0.016
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.1296 0.668864 0.000 0.044 0.948 0.004 0.000 0.004
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 4 0.3852 0.737062 0.384 0.000 0.000 0.612 0.004 0.000
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 3 0.6286 0.424020 0.000 0.128 0.588 0.000 0.164 0.120
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.4231 0.515104 0.000 0.792 0.084 0.032 0.012 0.080
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.4150 0.547414 0.000 0.740 0.200 0.012 0.000 0.048
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.7538 0.245329 0.004 0.500 0.064 0.072 0.168 0.192
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0260 0.757151 0.992 0.000 0.000 0.000 0.008 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.754380 1.000 0.000 0.000 0.000 0.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.4902 0.304805 0.500 0.000 0.000 0.036 0.452 0.012
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.3791 0.651664 0.760 0.000 0.000 0.032 0.200 0.008
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 3 0.6880 -0.051110 0.000 0.360 0.408 0.000 0.108 0.124
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.6684 0.446536 0.000 0.548 0.184 0.004 0.136 0.128
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.1429 0.755968 0.940 0.000 0.000 0.004 0.052 0.004
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.7068 0.237544 0.000 0.400 0.336 0.000 0.144 0.120
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.4008 0.637047 0.768 0.000 0.000 0.020 0.168 0.044
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.5024 0.333515 0.512 0.000 0.000 0.040 0.432 0.016
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.691599 0.000 0.000 1.000 0.000 0.000 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.4759 0.390039 0.540 0.000 0.000 0.024 0.420 0.016
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["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 17654 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'MAD' method.
#> Subgroups are detected by 'kmeans' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 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 0.963 0.986 0.5011 0.499 0.499
#> 3 3 0.989 0.923 0.950 0.1960 0.836 0.693
#> 4 4 0.699 0.805 0.820 0.1767 0.860 0.667
#> 5 5 0.819 0.828 0.905 0.1028 0.888 0.643
#> 6 6 0.886 0.866 0.910 0.0543 0.913 0.642
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
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.9828 1.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 2 0.0000 0.9878 0.000 1.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.0000 0.9828 1.000 0.000
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.0000 0.9828 1.000 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.0000 0.9828 1.000 0.000
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.0000 0.9828 1.000 0.000
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 1 0.6438 0.8018 0.836 0.164
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 2 0.0000 0.9878 0.000 1.000
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.0000 0.9828 1.000 0.000
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 1 0.0000 0.9828 1.000 0.000
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.0000 0.9828 1.000 0.000
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 2 0.0000 0.9878 0.000 1.000
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.9828 1.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 2 0.0000 0.9878 0.000 1.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 1 0.0000 0.9828 1.000 0.000
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.0000 0.9878 0.000 1.000
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0000 0.9828 1.000 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.9828 1.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 1 0.0000 0.9828 1.000 0.000
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0000 0.9828 1.000 0.000
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 1 0.0000 0.9828 1.000 0.000
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.0000 0.9878 0.000 1.000
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 1 0.7376 0.7388 0.792 0.208
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0000 0.9828 1.000 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 2 0.0000 0.9878 0.000 1.000
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 1 0.0000 0.9828 1.000 0.000
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.0000 0.9878 0.000 1.000
#> 375FE390-434B-41D3-9029-84065B1D7B6F 2 0.0000 0.9878 0.000 1.000
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 0.9828 1.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.0000 0.9878 0.000 1.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.0000 0.9878 0.000 1.000
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.0000 0.9878 0.000 1.000
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.0000 0.9878 0.000 1.000
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.0000 0.9828 1.000 0.000
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 2 0.0000 0.9878 0.000 1.000
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 1 0.9710 0.3463 0.600 0.400
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 1 0.0000 0.9828 1.000 0.000
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 2 0.0000 0.9878 0.000 1.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.0000 0.9828 1.000 0.000
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 2 0.0000 0.9878 0.000 1.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 2 0.0000 0.9878 0.000 1.000
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 2 0.0000 0.9878 0.000 1.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 2 0.0000 0.9878 0.000 1.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 1 0.0000 0.9828 1.000 0.000
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 1 0.0000 0.9828 1.000 0.000
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.0000 0.9828 1.000 0.000
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 2 0.0000 0.9878 0.000 1.000
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 1 0.0000 0.9828 1.000 0.000
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.0000 0.9828 1.000 0.000
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 2 0.0000 0.9878 0.000 1.000
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.0000 0.9878 0.000 1.000
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 1 0.0000 0.9828 1.000 0.000
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 2 0.0000 0.9878 0.000 1.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.0000 0.9828 1.000 0.000
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 2 0.0000 0.9878 0.000 1.000
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 2 0.0000 0.9878 0.000 1.000
#> 208165C0-229B-49E2-A22A-575CA3157C9E 2 0.0000 0.9878 0.000 1.000
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 1 0.0000 0.9828 1.000 0.000
#> 01397021-8495-4D89-885A-166B4DBA0122 2 0.0000 0.9878 0.000 1.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 2 0.0000 0.9878 0.000 1.000
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.0000 0.9828 1.000 0.000
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 2 0.0000 0.9878 0.000 1.000
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 2 0.0000 0.9878 0.000 1.000
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 2 0.0000 0.9878 0.000 1.000
#> AA569A06-0F37-4492-93F3-60A4539A3E82 2 0.0000 0.9878 0.000 1.000
#> BC53FB75-94CA-48C3-875B-5987037D186F 2 0.0000 0.9878 0.000 1.000
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 1 0.0000 0.9828 1.000 0.000
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 2 0.0000 0.9878 0.000 1.000
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 2 0.0000 0.9878 0.000 1.000
#> DF67F589-A607-4B95-96B8-4BB344132312 2 0.0000 0.9878 0.000 1.000
#> A65233E6-C146-4ACF-8DDE-5FB12D8D9637 2 0.0000 0.9878 0.000 1.000
#> 7578C9A3-FFF8-45C4-AC28-1C6141A9A2AD 1 0.0000 0.9828 1.000 0.000
#> 4DF775B9-E2FE-4F5E-8329-C37E21C5D10E 1 0.0000 0.9828 1.000 0.000
#> 5E6B86C6-3D79-47BB-9FAF-CA22659CFEA7 1 0.0000 0.9828 1.000 0.000
#> 53286128-668B-47EA-9A5F-D768FDCCBE88 1 0.0000 0.9828 1.000 0.000
#> 01C9F351-97FE-4037-A879-9D96A3DD3FBB 2 0.0000 0.9878 0.000 1.000
#> 5487DB21-6A58-46AC-A2A1-E343082D41D8 1 0.0000 0.9828 1.000 0.000
#> 0FB3E997-4E31-4FA6-9654-11C3C0AF8D86 2 0.0000 0.9878 0.000 1.000
#> A0706E80-FDF9-4721-BEB4-90527F6D38C4 2 0.0000 0.9878 0.000 1.000
#> 5260226E-1826-4F54-8237-28993DD2EF04 2 0.0000 0.9878 0.000 1.000
#> F53F71A7-A399-49AB-8657-019C5C56F48C 2 0.0000 0.9878 0.000 1.000
#> 008159F2-5247-479A-8BFE-C394888D0B74 2 0.0000 0.9878 0.000 1.000
#> 9E6BA6FB-35F2-4510-94AE-3E7CDFED3D47 2 0.0000 0.9878 0.000 1.000
#> F12BE7AC-D2DD-4AD1-AB37-32DC85954F59 1 0.0376 0.9792 0.996 0.004
#> 38A6BA1F-B444-4155-A168-EC2DF0EE0785 1 0.0000 0.9828 1.000 0.000
#> B107D1DE-EE52-4E89-B75A-91124BFF99AE 2 0.0000 0.9878 0.000 1.000
#> D4D16D09-8895-4BEA-ABF7-F11C5D5BDCAA 1 0.0000 0.9828 1.000 0.000
#> 9A53C473-1364-4BB6-AD36-EF53E0208450 1 0.0000 0.9828 1.000 0.000
#> F00C0ED6-C811-4F32-BDB4-4ACA7861DC7D 2 0.0000 0.9878 0.000 1.000
#> 72618985-CD49-4B6F-8CB0-5EE590FAD09A 2 0.0000 0.9878 0.000 1.000
#> 978A315F-CCE9-4D03-A680-C0AD60B10557 2 0.0000 0.9878 0.000 1.000
#> B6EACAED-3944-4510-B685-0BB8D1651D4F 1 0.0000 0.9828 1.000 0.000
#> EBCF16B4-A804-45EB-8253-0F28A2645729 1 0.0000 0.9828 1.000 0.000
#> 637DC441-4A75-4DA8-8F65-91FDB5F103C7 2 0.6973 0.7604 0.188 0.812
#> 89F67654-A246-4307-9B17-4A1C01DB1AED 2 0.0000 0.9878 0.000 1.000
#> 3A8EB57B-71ED-4169-A8EB-624C67CDBBE1 2 0.0000 0.9878 0.000 1.000
#> CC4DA9C6-CAB2-44FF-8219-D293ECD07DD4 1 0.0000 0.9828 1.000 0.000
#> AEC4FDAA-8F60-43CE-8EBB-5629FA662F16 2 0.0000 0.9878 0.000 1.000
#> BFC0D795-64F4-48B3-AD08-8C564E5E5367 1 0.0000 0.9828 1.000 0.000
#> 907BBBA4-4E7B-4808-892E-F80525C3CFA3 1 0.2603 0.9413 0.956 0.044
#> 7F21FA19-1468-4A65-A10A-A9727218A5EF 1 0.0000 0.9828 1.000 0.000
#> 905A026A-0B13-4AD3-B2BB-9A5AE76920AF 1 0.9661 0.3677 0.608 0.392
#> 6DDFC760-7BED-4A68-8DDA-9453D0FC9C1D 1 0.0000 0.9828 1.000 0.000
#> B3AFF323-BAAD-4512-A837-20C430EA39D1 1 0.0000 0.9828 1.000 0.000
#> 193E9034-42A2-4701-AA3E-2E852CA5C043 1 0.0000 0.9828 1.000 0.000
#> 8B6127D5-D3BB-4E17-914C-3ED1E2A52078 2 0.0000 0.9878 0.000 1.000
#> BD6E5E3C-DC43-4A85-84DF-84C68ABB851A 2 0.9795 0.2736 0.416 0.584
#> 881EACBD-B314-4A9E-A6DE-58DF9466AFB3 1 0.1843 0.9572 0.972 0.028
#> 195A6DF6-437D-4964-8872-C44F13E2CA4C 2 0.0000 0.9878 0.000 1.000
#> C40FD0B3-4773-490D-A342-B1CE8CC0A5BD 1 0.0000 0.9828 1.000 0.000
#> 613454BF-1A66-4DBB-90D0-246FC212DA4A 1 0.0000 0.9828 1.000 0.000
#> 5F121320-0F61-4BC0-BB69-F5C9A93BC118 1 0.0000 0.9828 1.000 0.000
#> E5637874-962B-4C43-8339-A6625D754DA8 1 0.6623 0.7909 0.828 0.172
#> 7614BF19-E3A2-492A-ABC0-557B274CA326 1 0.0000 0.9828 1.000 0.000
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#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.0000 0.9878 0.000 1.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.0000 0.9828 1.000 0.000
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.0000 0.9828 1.000 0.000
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 2 0.0000 0.9878 0.000 1.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.0000 0.9828 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.9536 1.000 0.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.2711 0.9762 0.000 0.088 0.912
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.2537 0.9418 0.920 0.000 0.080
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.0000 0.9536 1.000 0.000 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.2537 0.9418 0.920 0.000 0.080
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.2165 0.9444 0.936 0.000 0.064
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 2 0.3120 0.8791 0.080 0.908 0.012
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 2 0.2066 0.9146 0.000 0.940 0.060
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.2537 0.9418 0.920 0.000 0.080
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 1 0.2772 0.9397 0.916 0.004 0.080
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.2537 0.9418 0.920 0.000 0.080
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 2 0.1753 0.9116 0.000 0.952 0.048
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.9536 1.000 0.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 3 0.6168 0.4596 0.000 0.412 0.588
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 1 0.0747 0.9523 0.984 0.000 0.016
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.0237 0.9481 0.000 0.996 0.004
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0000 0.9536 1.000 0.000 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.9536 1.000 0.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 1 0.2537 0.9418 0.920 0.000 0.080
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0000 0.9536 1.000 0.000 0.000
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 2 0.6728 0.6438 0.184 0.736 0.080
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.0000 0.9498 0.000 1.000 0.000
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 2 0.2356 0.8943 0.072 0.928 0.000
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0000 0.9536 1.000 0.000 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 2 0.2537 0.8978 0.000 0.920 0.080
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 1 0.2537 0.9418 0.920 0.000 0.080
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.0000 0.9498 0.000 1.000 0.000
#> 375FE390-434B-41D3-9029-84065B1D7B6F 2 0.2448 0.9014 0.000 0.924 0.076
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 0.9536 1.000 0.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.0237 0.9481 0.000 0.996 0.004
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.0000 0.9498 0.000 1.000 0.000
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.0000 0.9498 0.000 1.000 0.000
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.0000 0.9498 0.000 1.000 0.000
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.2537 0.9418 0.920 0.000 0.080
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 2 0.0237 0.9481 0.000 0.996 0.004
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 2 0.2866 0.8947 0.008 0.916 0.076
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 1 0.2537 0.9418 0.920 0.000 0.080
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.2711 0.9762 0.000 0.088 0.912
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.0000 0.9536 1.000 0.000 0.000
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.2711 0.9762 0.000 0.088 0.912
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 2 0.1529 0.9234 0.040 0.960 0.000
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.2711 0.9762 0.000 0.088 0.912
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.2711 0.9762 0.000 0.088 0.912
#> 906CBD77-BD00-4199-B56C-E525C9509442 1 0.2537 0.9418 0.920 0.000 0.080
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 1 0.0237 0.9517 0.996 0.004 0.000
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.0000 0.9536 1.000 0.000 0.000
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 2 0.0237 0.9485 0.000 0.996 0.004
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 1 0.2537 0.9418 0.920 0.000 0.080
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.0000 0.9536 1.000 0.000 0.000
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 2 0.2537 0.8978 0.000 0.920 0.080
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.0000 0.9498 0.000 1.000 0.000
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 1 0.0237 0.9517 0.996 0.004 0.000
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.2711 0.9762 0.000 0.088 0.912
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.0000 0.9536 1.000 0.000 0.000
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 2 0.0000 0.9498 0.000 1.000 0.000
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 2 0.0000 0.9498 0.000 1.000 0.000
#> 208165C0-229B-49E2-A22A-575CA3157C9E 2 0.2448 0.9014 0.000 0.924 0.076
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 1 0.0747 0.9521 0.984 0.000 0.016
#> 01397021-8495-4D89-885A-166B4DBA0122 3 0.2711 0.9762 0.000 0.088 0.912
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 3 0.2711 0.9762 0.000 0.088 0.912
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.0000 0.9536 1.000 0.000 0.000
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 2 0.0000 0.9498 0.000 1.000 0.000
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 2 0.0237 0.9481 0.000 0.996 0.004
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 2 0.1031 0.9381 0.000 0.976 0.024
#> AA569A06-0F37-4492-93F3-60A4539A3E82 2 0.0000 0.9498 0.000 1.000 0.000
#> BC53FB75-94CA-48C3-875B-5987037D186F 2 0.0000 0.9498 0.000 1.000 0.000
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 1 0.0000 0.9536 1.000 0.000 0.000
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 2 0.0000 0.9498 0.000 1.000 0.000
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 2 0.0237 0.9485 0.000 0.996 0.004
#> DF67F589-A607-4B95-96B8-4BB344132312 2 0.0424 0.9469 0.000 0.992 0.008
#> A65233E6-C146-4ACF-8DDE-5FB12D8D9637 3 0.2711 0.9762 0.000 0.088 0.912
#> 7578C9A3-FFF8-45C4-AC28-1C6141A9A2AD 1 0.0000 0.9536 1.000 0.000 0.000
#> 4DF775B9-E2FE-4F5E-8329-C37E21C5D10E 1 0.5981 0.7850 0.788 0.132 0.080
#> 5E6B86C6-3D79-47BB-9FAF-CA22659CFEA7 1 0.2537 0.9418 0.920 0.000 0.080
#> 53286128-668B-47EA-9A5F-D768FDCCBE88 1 0.0000 0.9536 1.000 0.000 0.000
#> 01C9F351-97FE-4037-A879-9D96A3DD3FBB 2 0.0237 0.9481 0.000 0.996 0.004
#> 5487DB21-6A58-46AC-A2A1-E343082D41D8 1 0.2537 0.9418 0.920 0.000 0.080
#> 0FB3E997-4E31-4FA6-9654-11C3C0AF8D86 2 0.0000 0.9498 0.000 1.000 0.000
#> A0706E80-FDF9-4721-BEB4-90527F6D38C4 2 0.0237 0.9481 0.000 0.996 0.004
#> 5260226E-1826-4F54-8237-28993DD2EF04 3 0.2711 0.9762 0.000 0.088 0.912
#> F53F71A7-A399-49AB-8657-019C5C56F48C 2 0.2066 0.9146 0.000 0.940 0.060
#> 008159F2-5247-479A-8BFE-C394888D0B74 2 0.0000 0.9498 0.000 1.000 0.000
#> 9E6BA6FB-35F2-4510-94AE-3E7CDFED3D47 3 0.2711 0.9762 0.000 0.088 0.912
#> F12BE7AC-D2DD-4AD1-AB37-32DC85954F59 1 0.7627 0.1767 0.528 0.428 0.044
#> 38A6BA1F-B444-4155-A168-EC2DF0EE0785 1 0.1411 0.9498 0.964 0.000 0.036
#> B107D1DE-EE52-4E89-B75A-91124BFF99AE 3 0.2711 0.9762 0.000 0.088 0.912
#> D4D16D09-8895-4BEA-ABF7-F11C5D5BDCAA 1 0.2537 0.9418 0.920 0.000 0.080
#> 9A53C473-1364-4BB6-AD36-EF53E0208450 1 0.0000 0.9536 1.000 0.000 0.000
#> F00C0ED6-C811-4F32-BDB4-4ACA7861DC7D 2 0.0000 0.9498 0.000 1.000 0.000
#> 72618985-CD49-4B6F-8CB0-5EE590FAD09A 2 0.1753 0.9232 0.000 0.952 0.048
#> 978A315F-CCE9-4D03-A680-C0AD60B10557 2 0.0000 0.9498 0.000 1.000 0.000
#> B6EACAED-3944-4510-B685-0BB8D1651D4F 1 0.2537 0.9418 0.920 0.000 0.080
#> EBCF16B4-A804-45EB-8253-0F28A2645729 1 0.2537 0.9418 0.920 0.000 0.080
#> 637DC441-4A75-4DA8-8F65-91FDB5F103C7 2 0.7381 0.5370 0.244 0.676 0.080
#> 89F67654-A246-4307-9B17-4A1C01DB1AED 2 0.0000 0.9498 0.000 1.000 0.000
#> 3A8EB57B-71ED-4169-A8EB-624C67CDBBE1 2 0.0237 0.9481 0.000 0.996 0.004
#> CC4DA9C6-CAB2-44FF-8219-D293ECD07DD4 1 0.2537 0.9418 0.920 0.000 0.080
#> AEC4FDAA-8F60-43CE-8EBB-5629FA662F16 2 0.0000 0.9498 0.000 1.000 0.000
#> BFC0D795-64F4-48B3-AD08-8C564E5E5367 1 0.0237 0.9534 0.996 0.000 0.004
#> 907BBBA4-4E7B-4808-892E-F80525C3CFA3 2 0.2955 0.8906 0.008 0.912 0.080
#> 7F21FA19-1468-4A65-A10A-A9727218A5EF 1 0.0000 0.9536 1.000 0.000 0.000
#> 905A026A-0B13-4AD3-B2BB-9A5AE76920AF 2 0.2200 0.9085 0.056 0.940 0.004
#> 6DDFC760-7BED-4A68-8DDA-9453D0FC9C1D 1 0.0000 0.9536 1.000 0.000 0.000
#> B3AFF323-BAAD-4512-A837-20C430EA39D1 1 0.2537 0.9418 0.920 0.000 0.080
#> 193E9034-42A2-4701-AA3E-2E852CA5C043 1 0.0000 0.9536 1.000 0.000 0.000
#> 8B6127D5-D3BB-4E17-914C-3ED1E2A52078 2 0.0000 0.9498 0.000 1.000 0.000
#> BD6E5E3C-DC43-4A85-84DF-84C68ABB851A 2 0.2414 0.9173 0.020 0.940 0.040
#> 881EACBD-B314-4A9E-A6DE-58DF9466AFB3 2 0.2955 0.8906 0.008 0.912 0.080
#> 195A6DF6-437D-4964-8872-C44F13E2CA4C 2 0.0000 0.9498 0.000 1.000 0.000
#> C40FD0B3-4773-490D-A342-B1CE8CC0A5BD 1 0.0000 0.9536 1.000 0.000 0.000
#> 613454BF-1A66-4DBB-90D0-246FC212DA4A 1 0.2537 0.9418 0.920 0.000 0.080
#> 5F121320-0F61-4BC0-BB69-F5C9A93BC118 1 0.0000 0.9536 1.000 0.000 0.000
#> E5637874-962B-4C43-8339-A6625D754DA8 2 0.6019 0.5609 0.288 0.700 0.012
#> 7614BF19-E3A2-492A-ABC0-557B274CA326 1 0.0000 0.9536 1.000 0.000 0.000
#> 6EB070B1-45C3-46DB-BFF9-6D9A137EC3A8 2 0.4925 0.8118 0.076 0.844 0.080
#> 873EEA1A-8AA1-4C83-B001-7BD64343ADE1 1 0.0000 0.9536 1.000 0.000 0.000
#> 2DCF0812-AC29-4BC2-8929-4D3D7B0F6335 2 0.0000 0.9498 0.000 1.000 0.000
#> 9391B623-4EC1-43A2-85EC-7B80BE87827D 1 0.2537 0.9418 0.920 0.000 0.080
#> 32A000F1-BAEA-41D2-AC75-02255A5BF2F2 2 0.0000 0.9498 0.000 1.000 0.000
#> 9C1016CE-3EAB-4FA7-806B-C8F6B08B4EA1 1 0.0237 0.9517 0.996 0.004 0.000
#> C7C4E75E-887F-4D11-9FDC-32292895A6B3 2 0.2537 0.8978 0.000 0.920 0.080
#> 54739A62-512F-499F-AFE1-B7C631B35272 1 0.0000 0.9536 1.000 0.000 0.000
#> 4476DF0E-6BB4-4682-BF59-E61071D4184E 1 0.2537 0.9418 0.920 0.000 0.080
#> DCCC6566-8A72-411D-B8F0-CC92B6D973AF 2 0.0000 0.9498 0.000 1.000 0.000
#> 781AEC2C-2604-4DAA-A55C-D07A305AF32E 2 0.2537 0.8978 0.000 0.920 0.080
#> CB6BBA89-F467-4E0E-9DD1-04631E23D18C 1 0.8342 0.0453 0.464 0.456 0.080
#> 42E0E49F-0F6A-4787-87E8-E5CEA94822F9 2 0.0000 0.9498 0.000 1.000 0.000
#> B6466D8A-6CD3-4C90-B1FC-72EBDD93AE47 1 0.0237 0.9517 0.996 0.004 0.000
#> EEBC342F-80C7-428B-A69C-35962A8A0251 2 0.0000 0.9498 0.000 1.000 0.000
#> 38CB2DA4-D03B-4AAD-820E-B3475C52A945 2 0.0000 0.9498 0.000 1.000 0.000
#> E924E4B6-F88B-4F6B-B381-24D125C05D4F 3 0.2711 0.9762 0.000 0.088 0.912
#> C207F0D6-55B8-4353-8A7D-F1BA623BED96 1 0.2537 0.9418 0.920 0.000 0.080
#> 980CBBAE-2C02-4150-8BDB-B67713B6425C 3 0.2711 0.9762 0.000 0.088 0.912
#> 2E2A42A8-50A7-4409-8504-949A2B8A46A6 1 0.2537 0.9418 0.920 0.000 0.080
#> 65B6391B-3178-4AB3-9AA8-2FFAC5491988 2 0.0424 0.9457 0.000 0.992 0.008
#> 78EEB2C7-4B64-4CB0-9C94-E2AC46A75237 1 0.0237 0.9517 0.996 0.004 0.000
#> 4F05A349-3B06-425C-A8CC-63C1B23A3D65 1 0.0000 0.9536 1.000 0.000 0.000
#> 1CE1B4DB-1F7B-4F30-BAA1-E0252199F05B 2 0.5216 0.5880 0.000 0.740 0.260
#> 05FAAE20-A94E-41FA-B6B6-7DDCFB4F9657 1 0.0000 0.9536 1.000 0.000 0.000
#> 8C635DC8-6BED-46F6-893F-2AFB6CB3481A 1 0.2537 0.9418 0.920 0.000 0.080
#> 48410523-5F22-4531-97FA-7C796AD58989 1 0.0000 0.9536 1.000 0.000 0.000
#> B68D29BD-EDC7-4375-99F7-C5DAF72F3BA6 1 0.0000 0.9536 1.000 0.000 0.000
#> 417DC694-EA89-4AE0-94AC-88CA7E4BAA0B 1 0.0000 0.9536 1.000 0.000 0.000
#> 64CC8829-8B70-4B43-A364-4905139379E4 1 0.1774 0.9398 0.960 0.024 0.016
#> 9E7B3CD8-5195-4757-AC99-F96FDD02B6EC 1 0.2772 0.9392 0.916 0.004 0.080
#> 91E396AE-9215-405D-95DA-4F20D02CEB92 2 0.2537 0.8978 0.000 0.920 0.080
#> 94CD6202-9C20-48FF-952F-C085A9829FF1 1 0.0000 0.9536 1.000 0.000 0.000
#> E13AD861-BBD9-4189-8BB6-4B798BDFAA64 1 0.2537 0.9418 0.920 0.000 0.080
#> 6591AC48-9A57-4F9A-B25E-69E9257F4801 1 0.0000 0.9536 1.000 0.000 0.000
#> 1F0575EF-CFFA-4282-A054-88FDABBEB0CE 2 0.1964 0.9177 0.000 0.944 0.056
#> A2C99D8F-03AD-4E02-8FD2-50E8A8D64FA7 3 0.2878 0.9683 0.000 0.096 0.904
#> DD2C6204-0402-42E6-9DCF-C596B254684D 2 0.2173 0.9141 0.048 0.944 0.008
#> D54A1ABF-0E47-4D52-8CD6-25FF40735C48 1 0.2537 0.9418 0.920 0.000 0.080
#> 6E7F1C5E-83BE-4260-A4EB-2E8FB7B5AEDF 2 0.2165 0.9115 0.000 0.936 0.064
#> F931C145-86BF-4286-8017-A90943ABA1B6 2 0.0000 0.9498 0.000 1.000 0.000
#> B3B59642-F73C-41CA-AB45-918E98DE20E1 1 0.0000 0.9536 1.000 0.000 0.000
#> 4654D683-9F0B-4EE2-BF85-5E90CE0ABBCB 2 0.0237 0.9486 0.000 0.996 0.004
#> 7AC86566-1E68-40F1-AA42-A6E67736D8DF 1 0.8342 0.0316 0.460 0.460 0.080
#> DBC70DA9-6D10-4AA4-9D6B-967A934C879F 2 0.0000 0.9498 0.000 1.000 0.000
#> F50854E2-2F5D-4474-BB7D-842679B3DA09 1 0.0000 0.9536 1.000 0.000 0.000
#> C8388730-6449-4283-8B7C-8FB64740C777 3 0.2711 0.9762 0.000 0.088 0.912
#> 2DBBD500-CBB8-436D-9E7F-BC11EE25DED8 2 0.0000 0.9498 0.000 1.000 0.000
#> A2C8570D-F289-4BFD-A517-80C0F641DEE4 2 0.2261 0.9083 0.000 0.932 0.068
#> 8D0AC7F7-0B95-4375-97DB-EFB705B536D1 2 0.5926 0.3431 0.000 0.644 0.356
#> 07B07991-58CB-42A0-B973-A777063E016A 3 0.2711 0.9762 0.000 0.088 0.912
#> ED026192-88F6-421D-8158-57BE3DB12BB5 2 0.0237 0.9481 0.000 0.996 0.004
#> DE481FC9-E97B-496B-91E3-61782F90CE2E 2 0.5688 0.7252 0.168 0.788 0.044
#> AAE77BCD-09B9-480E-B019-5C95DFA4CDA1 1 0.2537 0.9418 0.920 0.000 0.080
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#> 1EFC6C80-2CBC-4F7F-9D95-D3259F22AED3 2 0.2537 0.8978 0.000 0.920 0.080
#> 9A0F8AF1-6845-474B-9897-F884E44DF78B 1 0.0000 0.9536 1.000 0.000 0.000
#> 5FFEF93E-3421-44BC-95BE-CA07D2343CD9 1 0.0000 0.9536 1.000 0.000 0.000
#> 706CD6CB-20D1-4B61-91CE-96468AFAB948 1 0.2537 0.9418 0.920 0.000 0.080
#> E75D87AF-DC22-4A00-8DAC-EDE1D242B3E5 2 0.2537 0.8978 0.000 0.920 0.080
#> B6428D53-EA3B-41A1-9092-3B47BF9F6089 1 0.2537 0.9418 0.920 0.000 0.080
#> 726D44D6-0732-44EA-B911-A5A1F0A758CF 1 0.2537 0.9418 0.920 0.000 0.080
#> E9FDE3D9-2845-4737-8957-BF36D7B39464 1 0.0000 0.9536 1.000 0.000 0.000
#> A70A345C-7683-4176-869B-8EDEFD966C1B 1 0.0000 0.9536 1.000 0.000 0.000
#> AB1C8455-7C2F-4154-95EF-B23EB5FD405A 3 0.4931 0.8035 0.000 0.232 0.768
#> 052F9CFB-8816-4A1D-B3C2-6A50168F7299 1 0.0000 0.9536 1.000 0.000 0.000
#> A821C6AB-91E5-4A72-8F3F-5D628FA351F0 3 0.2711 0.9762 0.000 0.088 0.912
#> 1D7F357E-0075-4AFA-BFCB-0297B90800F1 2 0.0000 0.9498 0.000 1.000 0.000
#> 5984264D-BD86-4D2F-8718-7DCAE974F50B 1 0.0424 0.9530 0.992 0.000 0.008
#> F24CC083-662D-457C-9BEC-3B68D63236AE 2 0.0424 0.9467 0.000 0.992 0.008
#> 48350BD7-9F6E-4DB5-B34A-F47B0BA74EF6 2 0.0000 0.9498 0.000 1.000 0.000
#> 94523D56-65BB-4860-9B7F-5859F5C82C05 3 0.2711 0.9762 0.000 0.088 0.912
#> CED33410-C7DE-43CC-941A-7652B200E5BB 2 0.0000 0.9498 0.000 1.000 0.000
#> 7E122E61-7895-4322-97BE-ABC29D7B7EA9 3 0.2711 0.9762 0.000 0.088 0.912
#> 60506411-6B29-49B4-9183-F54EE8B02CC4 1 0.2537 0.9418 0.920 0.000 0.080
#> ED52DF66-827A-4A8C-8E50-03C85FA04508 1 0.1529 0.9494 0.960 0.000 0.040
#> AB3B48ED-CFF9-4D66-BF3A-E9267D57BA14 2 0.0000 0.9498 0.000 1.000 0.000
#> 248A7931-1EB5-47E3-A966-E6AF62E21FC1 3 0.2711 0.9762 0.000 0.088 0.912
#> CB846F43-7719-4B7E-946B-32E6384F3CC4 2 0.8310 0.1176 0.420 0.500 0.080
#> 940E691A-04A2-410F-B1FB-A66A3BFE10E7 3 0.2711 0.9762 0.000 0.088 0.912
#> C3842EA2-E3BC-48DE-9B59-92145AC2F716 3 0.2711 0.9762 0.000 0.088 0.912
#> 497FB1B2-A998-44F3-8D69-6974314F941D 2 0.6566 0.4047 0.376 0.612 0.012
#> 4BAA88D6-4A88-4D54-9B0E-83365CC85C39 1 0.2537 0.9418 0.920 0.000 0.080
#> 7480A3B3-3BF8-4123-8E2E-8C2B52688EC6 2 0.0237 0.9481 0.000 0.996 0.004
#> AE3211D1-65C0-46B1-A67F-741C21A7D1C4 2 0.0000 0.9498 0.000 1.000 0.000
#> D7244456-CB99-4893-85FE-65082CC4F17C 2 0.0000 0.9498 0.000 1.000 0.000
#> C4E0F193-49DC-4A49-84BB-337AAF277145 1 0.2537 0.9418 0.920 0.000 0.080
#> E2DF7E97-6BE1-412C-B71D-151B87739653 2 0.2537 0.8978 0.000 0.920 0.080
#> 022BCEE2-4794-4D5D-87E5-22CD25FDBA98 2 0.0237 0.9481 0.000 0.996 0.004
#> 2AF33CEA-C327-4A31-84D8-C4F26E8A3ECF 1 0.0237 0.9517 0.996 0.004 0.000
#> E877B9C0-11C5-4CC8-BAE1-AC210535F3DB 1 0.0237 0.9517 0.996 0.004 0.000
#> 0E737E9F-1045-4B86-A290-ED927D5DE7BF 2 0.0000 0.9498 0.000 1.000 0.000
#> D1B88E26-3B64-4E1A-8E50-22AD100BD9F9 2 0.0000 0.9498 0.000 1.000 0.000
#> 3AEB8943-FE34-4014-B851-BBF83857A794 2 0.1411 0.9308 0.000 0.964 0.036
#> BECD727E-E3C1-4C42-9047-D97B7444B20B 2 0.0000 0.9498 0.000 1.000 0.000
#> AF866E63-9EA1-4669-B9C4-FC7E877334AE 2 0.0000 0.9498 0.000 1.000 0.000
#> F9C8E54A-4CE4-4839-B0CA-58678461EEF1 2 0.0424 0.9457 0.000 0.992 0.008
#> AE818BC4-05BF-4E85-A4AD-F3E43DD7D37A 2 0.0000 0.9498 0.000 1.000 0.000
#> BA73A860-CADE-408D-8D27-14EADA2B53B0 1 0.0000 0.9536 1.000 0.000 0.000
#> 688858C8-48CA-43E9-AE2C-B9D4F80B5EE9 2 0.0000 0.9498 0.000 1.000 0.000
#> EB1D52B2-17B3-491E-B484-1235633D6925 2 0.2537 0.8978 0.000 0.920 0.080
#> AE261B5D-3881-40B9-8EE7-26B950E0BE16 1 0.0000 0.9536 1.000 0.000 0.000
#> 8C9851D5-3091-4DE0-A59E-9122C0CA1CD2 2 0.0000 0.9498 0.000 1.000 0.000
#> C8180F95-4E9C-45DB-B959-B47F64167C2D 2 0.6204 0.3113 0.424 0.576 0.000
#> 552D3B42-8D22-4B64-B3A2-B3E5D51A8524 2 0.0000 0.9498 0.000 1.000 0.000
#> FED9F364-BC3F-4134-BF4B-4D24B0EB8315 1 0.2537 0.9418 0.920 0.000 0.080
#> 7B0D7792-C803-4DD0-B9BF-CB83DA2D199A 1 0.0000 0.9536 1.000 0.000 0.000
#> B4F82CBB-A47C-44C3-81AC-CF775FF06FCD 1 0.0000 0.9536 1.000 0.000 0.000
#> BFAB10CF-5B24-40F7-92E7-C2E60DD779EF 1 0.2537 0.9418 0.920 0.000 0.080
#> E4E259E1-48B2-4C76-B113-E46270742F53 2 0.0000 0.9498 0.000 1.000 0.000
#> 81FCBC31-367A-4B1C-A832-B133E4A43738 2 0.2955 0.8906 0.008 0.912 0.080
#> 8690FA0F-9C1C-4D97-813A-3FB56827FBFC 2 0.0000 0.9498 0.000 1.000 0.000
#> 9810CF0C-99D1-445B-B1F9-C956D2438495 3 0.2711 0.9762 0.000 0.088 0.912
#> 2F5073E1-9EDD-46B5-95E3-8314E2A5B620 1 0.2537 0.9418 0.920 0.000 0.080
#> B454F9FB-439A-43B5-877D-752D0F138AB5 2 0.0237 0.9481 0.000 0.996 0.004
#> 287F2B71-92F8-4D14-8249-C1BFBB254BE7 1 0.0000 0.9536 1.000 0.000 0.000
#> 52DC920F-0AD5-47CE-BD81-31843876B71E 1 0.0000 0.9536 1.000 0.000 0.000
#> 6BAC4B1B-C3FC-4A09-9821-232E510E6A47 1 0.2537 0.9418 0.920 0.000 0.080
#> A2B87EED-0D8E-4B20-85D3-FD9CC5E2E806 1 0.0000 0.9536 1.000 0.000 0.000
#> 43E6DB93-2DA6-4F0F-BF81-0C3869134D2B 1 0.0000 0.9536 1.000 0.000 0.000
#> 09A2ED74-A7C7-4DBB-8EDD-C80D0F0AEFDF 1 0.2261 0.9438 0.932 0.000 0.068
#> 35EDCB52-D4B5-4305-8A74-95EFE6F2BFB1 1 0.2537 0.9418 0.920 0.000 0.080
#> D5D18AF8-9CC2-496C-A83A-31BBA0195CFD 1 0.2537 0.9418 0.920 0.000 0.080
#> 03767EDF-2F8A-41DE-8D80-F4BE861225A3 2 0.2955 0.8914 0.008 0.912 0.080
#> 586BC656-AD9C-44EF-9ED4-87DEEB5C8AA6 1 0.0000 0.9536 1.000 0.000 0.000
#> 23CA1146-CB1B-4054-A4FF-200B87444BF9 1 0.0000 0.9536 1.000 0.000 0.000
#> 910E9B6D-E7D5-4C83-A19C-1EEA6E135639 1 0.2400 0.9446 0.932 0.004 0.064
#> F36353A3-6CE6-4347-A78B-0AAD8FAB14AD 1 0.0000 0.9536 1.000 0.000 0.000
#> 2045736E-7D0F-4B17-B74B-3B12AEE3E68C 1 0.0000 0.9536 1.000 0.000 0.000
#> 5EFA2C2D-30B3-4D66-9601-354711F9FC56 3 0.2711 0.9762 0.000 0.088 0.912
#> 3FBD381D-84C8-4680-980B-CC4B7924BE06 2 0.0000 0.9498 0.000 1.000 0.000
#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 2 0.2955 0.8906 0.008 0.912 0.080
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 1 0.2537 0.9418 0.920 0.000 0.080
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 2 0.0000 0.9498 0.000 1.000 0.000
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 2 0.0000 0.9498 0.000 1.000 0.000
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 1 0.2537 0.9418 0.920 0.000 0.080
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 2 0.0000 0.9498 0.000 1.000 0.000
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 2 0.2066 0.9064 0.060 0.940 0.000
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 1 0.2537 0.9418 0.920 0.000 0.080
#> A3343F40-F977-4F9B-856A-28781F10F4CD 2 0.0000 0.9498 0.000 1.000 0.000
#> DA144299-5541-47D7-A59E-C92896DF08FC 1 0.2537 0.9418 0.920 0.000 0.080
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 2 0.0237 0.9481 0.000 0.996 0.004
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.0000 0.9536 1.000 0.000 0.000
#> 617447CF-9327-4062-B22C-71A8944C948F 2 0.0000 0.9498 0.000 1.000 0.000
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0000 0.9536 1.000 0.000 0.000
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 2 0.0000 0.9498 0.000 1.000 0.000
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.0000 0.9536 1.000 0.000 0.000
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.0237 0.9481 0.000 0.996 0.004
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.0000 0.9536 1.000 0.000 0.000
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 3 0.2711 0.9762 0.000 0.088 0.912
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 2 0.0000 0.9498 0.000 1.000 0.000
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 3 0.2711 0.9762 0.000 0.088 0.912
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.0000 0.9536 1.000 0.000 0.000
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 1 0.6463 0.7377 0.756 0.164 0.080
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.0237 0.9481 0.000 0.996 0.004
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 1 0.2537 0.9418 0.920 0.000 0.080
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.0000 0.9536 1.000 0.000 0.000
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 3 0.2711 0.9762 0.000 0.088 0.912
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 3 0.6267 0.3467 0.000 0.452 0.548
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 1 0.2537 0.9418 0.920 0.000 0.080
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 2 0.5339 0.7823 0.096 0.824 0.080
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.0000 0.9536 1.000 0.000 0.000
#> DA1301D3-1F84-46C5-AB44-079493A81A51 1 0.2537 0.9418 0.920 0.000 0.080
#> A12B1681-B598-40C3-80FE-1801F3F1189D 1 0.2537 0.9418 0.920 0.000 0.080
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 2 0.1860 0.9205 0.000 0.948 0.052
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 1 0.3619 0.8006 0.864 0.136 0.000
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.0000 0.9498 0.000 1.000 0.000
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.0000 0.9498 0.000 1.000 0.000
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 1 0.2537 0.9418 0.920 0.000 0.080
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.0424 0.9469 0.000 0.992 0.008
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.1031 0.9339 0.000 0.976 0.024
#> 1D0379B1-0E99-4E6D-B890-907C92860654 2 0.1753 0.9232 0.000 0.952 0.048
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.0000 0.9498 0.000 1.000 0.000
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 2 0.2384 0.9126 0.008 0.936 0.056
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 2 0.0000 0.9498 0.000 1.000 0.000
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0000 0.9536 1.000 0.000 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.0000 0.9498 0.000 1.000 0.000
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.2537 0.9418 0.920 0.000 0.080
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.0424 0.9469 0.000 0.992 0.008
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0000 0.9536 1.000 0.000 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.0000 0.9498 0.000 1.000 0.000
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 1 0.2537 0.9418 0.920 0.000 0.080
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.0000 0.9498 0.000 1.000 0.000
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.2537 0.9418 0.920 0.000 0.080
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.0000 0.9498 0.000 1.000 0.000
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.9536 1.000 0.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.9536 1.000 0.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.0000 0.9498 0.000 1.000 0.000
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.2537 0.9418 0.920 0.000 0.080
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.0000 0.9498 0.000 1.000 0.000
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.2711 0.9762 0.000 0.088 0.912
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 2 0.0237 0.9481 0.000 0.996 0.004
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.2711 0.9762 0.000 0.088 0.912
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 1 0.0000 0.9536 1.000 0.000 0.000
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.0000 0.9498 0.000 1.000 0.000
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.0000 0.9498 0.000 1.000 0.000
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.0237 0.9481 0.000 0.996 0.004
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.0000 0.9498 0.000 1.000 0.000
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.9536 1.000 0.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.9536 1.000 0.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.2537 0.9418 0.920 0.000 0.080
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0000 0.9536 1.000 0.000 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.0000 0.9498 0.000 1.000 0.000
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.0000 0.9498 0.000 1.000 0.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0000 0.9536 1.000 0.000 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.0000 0.9498 0.000 1.000 0.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.0747 0.9523 0.984 0.000 0.016
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.2537 0.9418 0.920 0.000 0.080
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.2711 0.9762 0.000 0.088 0.912
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.2537 0.9418 0.920 0.000 0.080
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.89263 1.000 0.000 0.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.97199 0.000 0.000 1.000 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 4 0.4605 0.81517 0.336 0.000 0.000 0.664
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.0000 0.89263 1.000 0.000 0.000 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 4 0.4605 0.81517 0.336 0.000 0.000 0.664
#> 1B76089D-785F-4353-A898-4E632023D482 4 0.4977 0.72465 0.460 0.000 0.000 0.540
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 2 0.5537 0.73026 0.056 0.688 0.000 0.256
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 2 0.4624 0.74650 0.000 0.660 0.000 0.340
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 4 0.4624 0.81446 0.340 0.000 0.000 0.660
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 4 0.2345 0.60451 0.100 0.000 0.000 0.900
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 4 0.4907 0.78277 0.420 0.000 0.000 0.580
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 2 0.3587 0.83224 0.000 0.856 0.040 0.104
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.89263 1.000 0.000 0.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 2 0.6277 0.00122 0.000 0.476 0.468 0.056
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 1 0.4647 0.58962 0.704 0.008 0.000 0.288
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#> D125BE69-EA3E-4E26-83B3-966C9B4E2E1D 1 0.0000 0.89263 1.000 0.000 0.000 0.000
#> D4A7D4B9-2E9D-4ED5-886F-664A212C9BE1 2 0.0188 0.86274 0.000 0.996 0.000 0.004
#> 1EFC6C80-2CBC-4F7F-9D95-D3259F22AED3 4 0.4164 0.48718 0.000 0.264 0.000 0.736
#> 9A0F8AF1-6845-474B-9897-F884E44DF78B 1 0.0000 0.89263 1.000 0.000 0.000 0.000
#> 5FFEF93E-3421-44BC-95BE-CA07D2343CD9 1 0.0000 0.89263 1.000 0.000 0.000 0.000
#> 706CD6CB-20D1-4B61-91CE-96468AFAB948 4 0.4543 0.81245 0.324 0.000 0.000 0.676
#> E75D87AF-DC22-4A00-8DAC-EDE1D242B3E5 2 0.4994 0.56263 0.000 0.520 0.000 0.480
#> B6428D53-EA3B-41A1-9092-3B47BF9F6089 4 0.4564 0.81367 0.328 0.000 0.000 0.672
#> 726D44D6-0732-44EA-B911-A5A1F0A758CF 4 0.4585 0.81464 0.332 0.000 0.000 0.668
#> E9FDE3D9-2845-4737-8957-BF36D7B39464 1 0.2469 0.77672 0.892 0.000 0.000 0.108
#> A70A345C-7683-4176-869B-8EDEFD966C1B 1 0.0000 0.89263 1.000 0.000 0.000 0.000
#> AB1C8455-7C2F-4154-95EF-B23EB5FD405A 3 0.5812 0.68199 0.000 0.156 0.708 0.136
#> 052F9CFB-8816-4A1D-B3C2-6A50168F7299 1 0.0000 0.89263 1.000 0.000 0.000 0.000
#> A821C6AB-91E5-4A72-8F3F-5D628FA351F0 3 0.0000 0.97199 0.000 0.000 1.000 0.000
#> 1D7F357E-0075-4AFA-BFCB-0297B90800F1 2 0.2973 0.82994 0.000 0.856 0.000 0.144
#> 5984264D-BD86-4D2F-8718-7DCAE974F50B 1 0.4483 0.60014 0.712 0.004 0.000 0.284
#> F24CC083-662D-457C-9BEC-3B68D63236AE 2 0.1211 0.86700 0.000 0.960 0.000 0.040
#> 48350BD7-9F6E-4DB5-B34A-F47B0BA74EF6 2 0.3123 0.82389 0.000 0.844 0.000 0.156
#> 94523D56-65BB-4860-9B7F-5859F5C82C05 3 0.0000 0.97199 0.000 0.000 1.000 0.000
#> CED33410-C7DE-43CC-941A-7652B200E5BB 2 0.0000 0.86276 0.000 1.000 0.000 0.000
#> 7E122E61-7895-4322-97BE-ABC29D7B7EA9 3 0.0000 0.97199 0.000 0.000 1.000 0.000
#> 60506411-6B29-49B4-9183-F54EE8B02CC4 4 0.4605 0.81517 0.336 0.000 0.000 0.664
#> ED52DF66-827A-4A8C-8E50-03C85FA04508 4 0.4948 0.75511 0.440 0.000 0.000 0.560
#> AB3B48ED-CFF9-4D66-BF3A-E9267D57BA14 2 0.0592 0.86338 0.000 0.984 0.000 0.016
#> 248A7931-1EB5-47E3-A966-E6AF62E21FC1 3 0.0000 0.97199 0.000 0.000 1.000 0.000
#> CB846F43-7719-4B7E-946B-32E6384F3CC4 4 0.5440 0.69240 0.160 0.104 0.000 0.736
#> 940E691A-04A2-410F-B1FB-A66A3BFE10E7 3 0.0000 0.97199 0.000 0.000 1.000 0.000
#> C3842EA2-E3BC-48DE-9B59-92145AC2F716 3 0.0000 0.97199 0.000 0.000 1.000 0.000
#> 497FB1B2-A998-44F3-8D69-6974314F941D 2 0.7643 0.40440 0.276 0.468 0.000 0.256
#> 4BAA88D6-4A88-4D54-9B0E-83365CC85C39 4 0.4744 0.76907 0.240 0.024 0.000 0.736
#> 7480A3B3-3BF8-4123-8E2E-8C2B52688EC6 2 0.2081 0.85250 0.000 0.916 0.000 0.084
#> AE3211D1-65C0-46B1-A67F-741C21A7D1C4 2 0.1792 0.85619 0.000 0.932 0.000 0.068
#> D7244456-CB99-4893-85FE-65082CC4F17C 2 0.0188 0.86288 0.000 0.996 0.000 0.004
#> C4E0F193-49DC-4A49-84BB-337AAF277145 4 0.4907 0.78277 0.420 0.000 0.000 0.580
#> E2DF7E97-6BE1-412C-B71D-151B87739653 2 0.4661 0.75495 0.000 0.652 0.000 0.348
#> 022BCEE2-4794-4D5D-87E5-22CD25FDBA98 2 0.1474 0.85871 0.000 0.948 0.000 0.052
#> 2AF33CEA-C327-4A31-84D8-C4F26E8A3ECF 1 0.4193 0.60934 0.732 0.000 0.000 0.268
#> E877B9C0-11C5-4CC8-BAE1-AC210535F3DB 1 0.4277 0.60702 0.720 0.000 0.000 0.280
#> 0E737E9F-1045-4B86-A290-ED927D5DE7BF 2 0.1792 0.85552 0.000 0.932 0.000 0.068
#> D1B88E26-3B64-4E1A-8E50-22AD100BD9F9 2 0.4103 0.77466 0.000 0.744 0.000 0.256
#> 3AEB8943-FE34-4014-B851-BBF83857A794 2 0.3873 0.82607 0.000 0.772 0.000 0.228
#> BECD727E-E3C1-4C42-9047-D97B7444B20B 2 0.4103 0.77466 0.000 0.744 0.000 0.256
#> AF866E63-9EA1-4669-B9C4-FC7E877334AE 2 0.2469 0.84475 0.000 0.892 0.000 0.108
#> F9C8E54A-4CE4-4839-B0CA-58678461EEF1 2 0.0188 0.86274 0.000 0.996 0.000 0.004
#> AE818BC4-05BF-4E85-A4AD-F3E43DD7D37A 2 0.0188 0.86274 0.000 0.996 0.000 0.004
#> BA73A860-CADE-408D-8D27-14EADA2B53B0 1 0.3942 0.63529 0.764 0.000 0.000 0.236
#> 688858C8-48CA-43E9-AE2C-B9D4F80B5EE9 2 0.1211 0.86077 0.000 0.960 0.000 0.040
#> EB1D52B2-17B3-491E-B484-1235633D6925 2 0.3942 0.81464 0.000 0.764 0.000 0.236
#> AE261B5D-3881-40B9-8EE7-26B950E0BE16 1 0.0000 0.89263 1.000 0.000 0.000 0.000
#> 8C9851D5-3091-4DE0-A59E-9122C0CA1CD2 2 0.1022 0.85972 0.000 0.968 0.000 0.032
#> C8180F95-4E9C-45DB-B959-B47F64167C2D 2 0.7743 0.32156 0.308 0.436 0.000 0.256
#> 552D3B42-8D22-4B64-B3A2-B3E5D51A8524 2 0.0000 0.86276 0.000 1.000 0.000 0.000
#> FED9F364-BC3F-4134-BF4B-4D24B0EB8315 4 0.4790 0.80389 0.380 0.000 0.000 0.620
#> 7B0D7792-C803-4DD0-B9BF-CB83DA2D199A 1 0.0000 0.89263 1.000 0.000 0.000 0.000
#> B4F82CBB-A47C-44C3-81AC-CF775FF06FCD 1 0.1557 0.82325 0.944 0.000 0.000 0.056
#> BFAB10CF-5B24-40F7-92E7-C2E60DD779EF 4 0.4277 0.79472 0.280 0.000 0.000 0.720
#> E4E259E1-48B2-4C76-B113-E46270742F53 2 0.3123 0.82389 0.000 0.844 0.000 0.156
#> 81FCBC31-367A-4B1C-A832-B133E4A43738 4 0.1118 0.53069 0.000 0.036 0.000 0.964
#> 8690FA0F-9C1C-4D97-813A-3FB56827FBFC 2 0.3569 0.81119 0.000 0.804 0.000 0.196
#> 9810CF0C-99D1-445B-B1F9-C956D2438495 3 0.0336 0.96552 0.000 0.008 0.992 0.000
#> 2F5073E1-9EDD-46B5-95E3-8314E2A5B620 4 0.4222 0.79065 0.272 0.000 0.000 0.728
#> B454F9FB-439A-43B5-877D-752D0F138AB5 2 0.1792 0.85552 0.000 0.932 0.000 0.068
#> 287F2B71-92F8-4D14-8249-C1BFBB254BE7 1 0.0000 0.89263 1.000 0.000 0.000 0.000
#> 52DC920F-0AD5-47CE-BD81-31843876B71E 1 0.0000 0.89263 1.000 0.000 0.000 0.000
#> 6BAC4B1B-C3FC-4A09-9821-232E510E6A47 4 0.4907 0.78277 0.420 0.000 0.000 0.580
#> A2B87EED-0D8E-4B20-85D3-FD9CC5E2E806 1 0.0000 0.89263 1.000 0.000 0.000 0.000
#> 43E6DB93-2DA6-4F0F-BF81-0C3869134D2B 1 0.0000 0.89263 1.000 0.000 0.000 0.000
#> 09A2ED74-A7C7-4DBB-8EDD-C80D0F0AEFDF 4 0.4916 0.77826 0.424 0.000 0.000 0.576
#> 35EDCB52-D4B5-4305-8A74-95EFE6F2BFB1 4 0.4277 0.79472 0.280 0.000 0.000 0.720
#> D5D18AF8-9CC2-496C-A83A-31BBA0195CFD 4 0.4543 0.76421 0.324 0.000 0.000 0.676
#> 03767EDF-2F8A-41DE-8D80-F4BE861225A3 4 0.4675 0.51933 0.020 0.244 0.000 0.736
#> 586BC656-AD9C-44EF-9ED4-87DEEB5C8AA6 1 0.0000 0.89263 1.000 0.000 0.000 0.000
#> 23CA1146-CB1B-4054-A4FF-200B87444BF9 1 0.0000 0.89263 1.000 0.000 0.000 0.000
#> 910E9B6D-E7D5-4C83-A19C-1EEA6E135639 4 0.4605 0.32681 0.336 0.000 0.000 0.664
#> F36353A3-6CE6-4347-A78B-0AAD8FAB14AD 1 0.0000 0.89263 1.000 0.000 0.000 0.000
#> 2045736E-7D0F-4B17-B74B-3B12AEE3E68C 1 0.0000 0.89263 1.000 0.000 0.000 0.000
#> 5EFA2C2D-30B3-4D66-9601-354711F9FC56 3 0.0000 0.97199 0.000 0.000 1.000 0.000
#> 3FBD381D-84C8-4680-980B-CC4B7924BE06 2 0.0336 0.86281 0.000 0.992 0.000 0.008
#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 2 0.4746 0.72267 0.000 0.632 0.000 0.368
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 4 0.4605 0.81517 0.336 0.000 0.000 0.664
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 2 0.0336 0.86251 0.000 0.992 0.000 0.008
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 2 0.0469 0.86266 0.000 0.988 0.000 0.012
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 4 0.4605 0.81517 0.336 0.000 0.000 0.664
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 2 0.3123 0.82389 0.000 0.844 0.000 0.156
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 2 0.4103 0.77466 0.000 0.744 0.000 0.256
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 4 0.4907 0.78277 0.420 0.000 0.000 0.580
#> A3343F40-F977-4F9B-856A-28781F10F4CD 2 0.0336 0.86283 0.000 0.992 0.000 0.008
#> DA144299-5541-47D7-A59E-C92896DF08FC 4 0.4907 0.78277 0.420 0.000 0.000 0.580
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 2 0.1716 0.85648 0.000 0.936 0.000 0.064
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.0000 0.89263 1.000 0.000 0.000 0.000
#> 617447CF-9327-4062-B22C-71A8944C948F 2 0.0592 0.86196 0.000 0.984 0.000 0.016
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0000 0.89263 1.000 0.000 0.000 0.000
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 2 0.1474 0.85609 0.000 0.948 0.000 0.052
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.0000 0.89263 1.000 0.000 0.000 0.000
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.0188 0.86274 0.000 0.996 0.000 0.004
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.0000 0.89263 1.000 0.000 0.000 0.000
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 3 0.0000 0.97199 0.000 0.000 1.000 0.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 2 0.1022 0.85972 0.000 0.968 0.000 0.032
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 3 0.0469 0.96199 0.000 0.012 0.988 0.000
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.0000 0.89263 1.000 0.000 0.000 0.000
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 4 0.4867 0.76310 0.232 0.032 0.000 0.736
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.0188 0.86279 0.000 0.996 0.000 0.004
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 4 0.4888 0.78939 0.412 0.000 0.000 0.588
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.0000 0.89263 1.000 0.000 0.000 0.000
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 3 0.3074 0.82416 0.000 0.152 0.848 0.000
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 2 0.4382 0.52624 0.000 0.704 0.296 0.000
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 4 0.4907 0.78277 0.420 0.000 0.000 0.580
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 4 0.5067 0.56270 0.048 0.216 0.000 0.736
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.0000 0.89263 1.000 0.000 0.000 0.000
#> DA1301D3-1F84-46C5-AB44-079493A81A51 4 0.4222 0.79065 0.272 0.000 0.000 0.728
#> A12B1681-B598-40C3-80FE-1801F3F1189D 4 0.4605 0.81517 0.336 0.000 0.000 0.664
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 2 0.4643 0.77063 0.000 0.656 0.000 0.344
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 1 0.5705 0.54139 0.676 0.064 0.000 0.260
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.1792 0.85552 0.000 0.932 0.000 0.068
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.3764 0.80014 0.000 0.784 0.000 0.216
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 4 0.4605 0.81517 0.336 0.000 0.000 0.664
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.3649 0.83615 0.000 0.796 0.000 0.204
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.1975 0.85707 0.000 0.936 0.016 0.048
#> 1D0379B1-0E99-4E6D-B890-907C92860654 2 0.4605 0.77720 0.000 0.664 0.000 0.336
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.0188 0.86288 0.000 0.996 0.000 0.004
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 2 0.4134 0.77423 0.000 0.740 0.000 0.260
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 2 0.4103 0.77466 0.000 0.744 0.000 0.256
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0000 0.89263 1.000 0.000 0.000 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.0469 0.86215 0.000 0.988 0.000 0.012
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 4 0.4916 0.77826 0.424 0.000 0.000 0.576
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.3688 0.83591 0.000 0.792 0.000 0.208
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0000 0.89263 1.000 0.000 0.000 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.0188 0.86288 0.000 0.996 0.000 0.004
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 4 0.4675 0.77216 0.244 0.020 0.000 0.736
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.0336 0.86281 0.000 0.992 0.000 0.008
#> AC376BBB-667B-4469-B567-9BE18DE0F811 4 0.4907 0.78277 0.420 0.000 0.000 0.580
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.0000 0.86276 0.000 1.000 0.000 0.000
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.89263 1.000 0.000 0.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.89263 1.000 0.000 0.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.0921 0.86021 0.000 0.972 0.000 0.028
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 4 0.4916 0.77649 0.424 0.000 0.000 0.576
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.0592 0.86196 0.000 0.984 0.000 0.016
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.97199 0.000 0.000 1.000 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 2 0.1661 0.85826 0.000 0.944 0.004 0.052
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.0469 0.96195 0.000 0.012 0.988 0.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 1 0.3942 0.63529 0.764 0.000 0.000 0.236
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.3123 0.82389 0.000 0.844 0.000 0.156
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.3024 0.82362 0.000 0.852 0.000 0.148
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.0921 0.86021 0.000 0.972 0.000 0.028
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.3610 0.80907 0.000 0.800 0.000 0.200
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.89263 1.000 0.000 0.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.89263 1.000 0.000 0.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 4 0.4907 0.78277 0.420 0.000 0.000 0.580
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0000 0.89263 1.000 0.000 0.000 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.2281 0.84884 0.000 0.904 0.000 0.096
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.1792 0.85552 0.000 0.932 0.000 0.068
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0000 0.89263 1.000 0.000 0.000 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.1867 0.85495 0.000 0.928 0.000 0.072
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.4250 0.26651 0.724 0.000 0.000 0.276
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 4 0.4907 0.78277 0.420 0.000 0.000 0.580
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.97199 0.000 0.000 1.000 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 4 0.4907 0.78277 0.420 0.000 0.000 0.580
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.96552 1.000 0.000 0.000 0.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.97399 0.000 0.000 1.000 0.000 0.000
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#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.1732 0.85128 0.000 0.920 0.000 0.080 0.000
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 4 0.0880 0.81501 0.000 0.032 0.000 0.968 0.000
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 4 0.2074 0.81113 0.000 0.104 0.000 0.896 0.000
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0000 0.96552 1.000 0.000 0.000 0.000 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.1671 0.83647 0.000 0.924 0.000 0.076 0.000
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 5 0.2020 0.91632 0.100 0.000 0.000 0.000 0.900
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.4958 0.39137 0.000 0.568 0.000 0.400 0.032
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0000 0.96552 1.000 0.000 0.000 0.000 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.0510 0.86167 0.000 0.984 0.000 0.016 0.000
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 5 0.0451 0.89699 0.008 0.004 0.000 0.000 0.988
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.0000 0.86399 0.000 1.000 0.000 0.000 0.000
#> AC376BBB-667B-4469-B567-9BE18DE0F811 5 0.2020 0.91632 0.100 0.000 0.000 0.000 0.900
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.0000 0.86399 0.000 1.000 0.000 0.000 0.000
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.96552 1.000 0.000 0.000 0.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.96552 1.000 0.000 0.000 0.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.1908 0.82629 0.000 0.908 0.000 0.092 0.000
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 5 0.2179 0.91507 0.100 0.000 0.000 0.004 0.896
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.1851 0.82853 0.000 0.912 0.000 0.088 0.000
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.97399 0.000 0.000 1.000 0.000 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 2 0.0162 0.86423 0.000 0.996 0.000 0.000 0.004
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.0771 0.95262 0.000 0.020 0.976 0.004 0.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 4 0.3003 0.72836 0.188 0.000 0.000 0.812 0.000
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.3291 0.82489 0.000 0.848 0.000 0.064 0.088
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 4 0.4060 0.49453 0.000 0.360 0.000 0.640 0.000
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.1908 0.82629 0.000 0.908 0.000 0.092 0.000
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 4 0.4855 0.26026 0.000 0.424 0.000 0.552 0.024
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.96552 1.000 0.000 0.000 0.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.96552 1.000 0.000 0.000 0.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 5 0.2020 0.91632 0.100 0.000 0.000 0.000 0.900
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0000 0.96552 1.000 0.000 0.000 0.000 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.2209 0.85270 0.000 0.912 0.000 0.056 0.032
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.1992 0.85669 0.000 0.924 0.000 0.044 0.032
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0000 0.96552 1.000 0.000 0.000 0.000 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.2067 0.85544 0.000 0.920 0.000 0.048 0.032
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.4297 0.00906 0.528 0.000 0.000 0.000 0.472
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 5 0.2020 0.91632 0.100 0.000 0.000 0.000 0.900
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.97399 0.000 0.000 1.000 0.000 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 5 0.2020 0.91632 0.100 0.000 0.000 0.000 0.900
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0547 0.9512 0.980 0.000 0.000 0.000 0.000 0.020
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.9698 0.000 0.000 1.000 0.000 0.000 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 5 0.1353 0.9466 0.012 0.000 0.000 0.012 0.952 0.024
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.4740 0.5585 0.660 0.000 0.000 0.276 0.036 0.028
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 5 0.1364 0.9442 0.012 0.000 0.000 0.016 0.952 0.020
#> 1B76089D-785F-4353-A898-4E632023D482 5 0.3053 0.8047 0.168 0.000 0.000 0.000 0.812 0.020
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 4 0.1666 0.9218 0.000 0.020 0.000 0.936 0.008 0.036
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 6 0.4227 0.0323 0.000 0.008 0.000 0.492 0.004 0.496
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 5 0.1173 0.9443 0.016 0.000 0.000 0.016 0.960 0.008
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 4 0.2697 0.8382 0.000 0.000 0.000 0.864 0.092 0.044
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 5 0.2685 0.9255 0.016 0.000 0.000 0.036 0.880 0.068
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 2 0.3405 0.5646 0.000 0.724 0.000 0.000 0.004 0.272
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.9551 1.000 0.000 0.000 0.000 0.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 2 0.3161 0.6606 0.000 0.776 0.008 0.000 0.000 0.216
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 4 0.1180 0.9246 0.004 0.004 0.000 0.960 0.008 0.024
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.0748 0.9022 0.000 0.976 0.000 0.016 0.004 0.004
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0891 0.9486 0.968 0.000 0.000 0.000 0.008 0.024
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0547 0.9512 0.980 0.000 0.000 0.000 0.000 0.020
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 5 0.1180 0.9441 0.012 0.000 0.000 0.016 0.960 0.012
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.1320 0.9353 0.948 0.000 0.000 0.000 0.036 0.016
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 5 0.1663 0.9240 0.000 0.000 0.000 0.000 0.912 0.088
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.0260 0.9098 0.000 0.992 0.000 0.000 0.000 0.008
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 4 0.1321 0.9249 0.000 0.020 0.000 0.952 0.004 0.024
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0260 0.9543 0.992 0.000 0.000 0.000 0.000 0.008
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 6 0.2003 0.7656 0.000 0.000 0.000 0.000 0.116 0.884
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 5 0.1297 0.9471 0.012 0.000 0.000 0.000 0.948 0.040
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.0790 0.9000 0.000 0.968 0.000 0.000 0.000 0.032
#> 375FE390-434B-41D3-9029-84065B1D7B6F 6 0.2863 0.8535 0.000 0.088 0.000 0.036 0.012 0.864
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0260 0.9550 0.992 0.000 0.000 0.000 0.000 0.008
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.0260 0.9098 0.000 0.992 0.000 0.000 0.000 0.008
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.2219 0.7920 0.000 0.864 0.000 0.000 0.000 0.136
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 6 0.2805 0.8541 0.000 0.160 0.000 0.000 0.012 0.828
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 6 0.2730 0.8572 0.000 0.152 0.000 0.000 0.012 0.836
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 5 0.1498 0.9464 0.028 0.000 0.000 0.000 0.940 0.032
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 2 0.0363 0.9088 0.000 0.988 0.000 0.000 0.000 0.012
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 6 0.4138 0.3954 0.000 0.012 0.000 0.368 0.004 0.616
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 5 0.1313 0.9419 0.028 0.000 0.000 0.016 0.952 0.004
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0000 0.9698 0.000 0.000 1.000 0.000 0.000 0.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.1780 0.9172 0.924 0.000 0.000 0.000 0.048 0.028
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.0000 0.9698 0.000 0.000 1.000 0.000 0.000 0.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 4 0.1478 0.9203 0.000 0.032 0.000 0.944 0.004 0.020
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.0405 0.9649 0.000 0.000 0.988 0.004 0.000 0.008
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.0000 0.9698 0.000 0.000 1.000 0.000 0.000 0.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 5 0.1367 0.9456 0.012 0.000 0.000 0.000 0.944 0.044
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 4 0.1332 0.9209 0.028 0.000 0.000 0.952 0.008 0.012
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.1871 0.9201 0.928 0.000 0.000 0.016 0.032 0.024
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 2 0.4984 -0.0223 0.000 0.480 0.000 0.464 0.008 0.048
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 5 0.1367 0.9456 0.012 0.000 0.000 0.000 0.944 0.044
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.4556 0.4455 0.624 0.000 0.000 0.016 0.336 0.024
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 6 0.2875 0.8121 0.000 0.036 0.000 0.064 0.028 0.872
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.1196 0.8837 0.000 0.952 0.000 0.040 0.000 0.008
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 4 0.1003 0.9217 0.028 0.000 0.000 0.964 0.004 0.004
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.0000 0.9698 0.000 0.000 1.000 0.000 0.000 0.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.4591 0.2515 0.552 0.000 0.000 0.000 0.408 0.040
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 6 0.2768 0.8558 0.000 0.156 0.000 0.000 0.012 0.832
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 4 0.1478 0.9234 0.000 0.020 0.000 0.944 0.004 0.032
#> 208165C0-229B-49E2-A22A-575CA3157C9E 6 0.2986 0.8562 0.000 0.104 0.000 0.032 0.012 0.852
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 4 0.4754 0.6623 0.068 0.000 0.000 0.704 0.200 0.028
#> 01397021-8495-4D89-885A-166B4DBA0122 3 0.0000 0.9698 0.000 0.000 1.000 0.000 0.000 0.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 3 0.0405 0.9649 0.000 0.000 0.988 0.004 0.000 0.008
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.0632 0.9526 0.976 0.000 0.000 0.000 0.000 0.024
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 4 0.1434 0.9124 0.000 0.048 0.000 0.940 0.000 0.012
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 2 0.0363 0.9088 0.000 0.988 0.000 0.000 0.000 0.012
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 2 0.3345 0.7228 0.000 0.776 0.000 0.020 0.000 0.204
#> AA569A06-0F37-4492-93F3-60A4539A3E82 6 0.2624 0.8604 0.000 0.124 0.000 0.020 0.000 0.856
#> BC53FB75-94CA-48C3-875B-5987037D186F 6 0.2964 0.8259 0.000 0.204 0.000 0.000 0.004 0.792
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 1 0.0777 0.9501 0.972 0.000 0.000 0.000 0.004 0.024
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 6 0.2841 0.8521 0.000 0.164 0.000 0.000 0.012 0.824
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 6 0.3031 0.8530 0.000 0.108 0.000 0.044 0.004 0.844
#> DF67F589-A607-4B95-96B8-4BB344132312 6 0.5583 0.4926 0.000 0.284 0.000 0.180 0.000 0.536
#> A65233E6-C146-4ACF-8DDE-5FB12D8D9637 3 0.0000 0.9698 0.000 0.000 1.000 0.000 0.000 0.000
#> 7578C9A3-FFF8-45C4-AC28-1C6141A9A2AD 1 0.0260 0.9543 0.992 0.000 0.000 0.000 0.000 0.008
#> 4DF775B9-E2FE-4F5E-8329-C37E21C5D10E 5 0.1219 0.9414 0.004 0.000 0.000 0.000 0.948 0.048
#> 5E6B86C6-3D79-47BB-9FAF-CA22659CFEA7 5 0.1563 0.9446 0.012 0.000 0.000 0.000 0.932 0.056
#> 53286128-668B-47EA-9A5F-D768FDCCBE88 1 0.0603 0.9537 0.980 0.000 0.000 0.000 0.004 0.016
#> 01C9F351-97FE-4037-A879-9D96A3DD3FBB 2 0.0363 0.9091 0.000 0.988 0.000 0.000 0.000 0.012
#> 5487DB21-6A58-46AC-A2A1-E343082D41D8 5 0.0858 0.9454 0.028 0.000 0.000 0.000 0.968 0.004
#> 0FB3E997-4E31-4FA6-9654-11C3C0AF8D86 2 0.0547 0.9066 0.000 0.980 0.000 0.000 0.000 0.020
#> A0706E80-FDF9-4721-BEB4-90527F6D38C4 2 0.0405 0.9062 0.000 0.988 0.000 0.008 0.000 0.004
#> 5260226E-1826-4F54-8237-28993DD2EF04 3 0.0000 0.9698 0.000 0.000 1.000 0.000 0.000 0.000
#> F53F71A7-A399-49AB-8657-019C5C56F48C 6 0.2402 0.8587 0.000 0.120 0.000 0.000 0.012 0.868
#> 008159F2-5247-479A-8BFE-C394888D0B74 4 0.1478 0.9234 0.000 0.020 0.000 0.944 0.004 0.032
#> 9E6BA6FB-35F2-4510-94AE-3E7CDFED3D47 3 0.0000 0.9698 0.000 0.000 1.000 0.000 0.000 0.000
#> F12BE7AC-D2DD-4AD1-AB37-32DC85954F59 4 0.1082 0.9245 0.004 0.000 0.000 0.956 0.000 0.040
#> 38A6BA1F-B444-4155-A168-EC2DF0EE0785 5 0.2322 0.9332 0.024 0.000 0.000 0.024 0.904 0.048
#> B107D1DE-EE52-4E89-B75A-91124BFF99AE 3 0.0000 0.9698 0.000 0.000 1.000 0.000 0.000 0.000
#> D4D16D09-8895-4BEA-ABF7-F11C5D5BDCAA 5 0.1528 0.9400 0.028 0.000 0.000 0.016 0.944 0.012
#> 9A53C473-1364-4BB6-AD36-EF53E0208450 1 0.1168 0.9432 0.956 0.000 0.000 0.000 0.016 0.028
#> F00C0ED6-C811-4F32-BDB4-4ACA7861DC7D 2 0.0291 0.9074 0.000 0.992 0.000 0.004 0.000 0.004
#> 72618985-CD49-4B6F-8CB0-5EE590FAD09A 6 0.2755 0.8610 0.000 0.120 0.000 0.012 0.012 0.856
#> 978A315F-CCE9-4D03-A680-C0AD60B10557 2 0.0291 0.9078 0.000 0.992 0.000 0.004 0.000 0.004
#> B6EACAED-3944-4510-B685-0BB8D1651D4F 5 0.1218 0.9478 0.012 0.000 0.000 0.004 0.956 0.028
#> EBCF16B4-A804-45EB-8253-0F28A2645729 5 0.1398 0.9434 0.008 0.000 0.000 0.000 0.940 0.052
#> 637DC441-4A75-4DA8-8F65-91FDB5F103C7 5 0.1141 0.9390 0.000 0.000 0.000 0.000 0.948 0.052
#> 89F67654-A246-4307-9B17-4A1C01DB1AED 2 0.0951 0.8976 0.000 0.968 0.000 0.020 0.004 0.008
#> 3A8EB57B-71ED-4169-A8EB-624C67CDBBE1 2 0.0363 0.9091 0.000 0.988 0.000 0.000 0.000 0.012
#> CC4DA9C6-CAB2-44FF-8219-D293ECD07DD4 5 0.1367 0.9465 0.012 0.000 0.000 0.000 0.944 0.044
#> AEC4FDAA-8F60-43CE-8EBB-5629FA662F16 2 0.1349 0.8794 0.000 0.940 0.000 0.004 0.000 0.056
#> BFC0D795-64F4-48B3-AD08-8C564E5E5367 1 0.3566 0.6873 0.752 0.000 0.000 0.000 0.224 0.024
#> 907BBBA4-4E7B-4808-892E-F80525C3CFA3 6 0.2462 0.7749 0.000 0.000 0.000 0.028 0.096 0.876
#> 7F21FA19-1468-4A65-A10A-A9727218A5EF 1 0.0260 0.9550 0.992 0.000 0.000 0.000 0.000 0.008
#> 905A026A-0B13-4AD3-B2BB-9A5AE76920AF 4 0.1151 0.9265 0.000 0.012 0.000 0.956 0.000 0.032
#> 6DDFC760-7BED-4A68-8DDA-9453D0FC9C1D 1 0.0000 0.9551 1.000 0.000 0.000 0.000 0.000 0.000
#> B3AFF323-BAAD-4512-A837-20C430EA39D1 5 0.1426 0.9412 0.028 0.000 0.000 0.016 0.948 0.008
#> 193E9034-42A2-4701-AA3E-2E852CA5C043 1 0.0260 0.9550 0.992 0.000 0.000 0.000 0.000 0.008
#> 8B6127D5-D3BB-4E17-914C-3ED1E2A52078 2 0.1268 0.8858 0.000 0.952 0.000 0.036 0.004 0.008
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#> BFAB10CF-5B24-40F7-92E7-C2E60DD779EF 5 0.1434 0.9449 0.012 0.000 0.000 0.000 0.940 0.048
#> E4E259E1-48B2-4C76-B113-E46270742F53 6 0.2841 0.8521 0.000 0.164 0.000 0.000 0.012 0.824
#> 81FCBC31-367A-4B1C-A832-B133E4A43738 6 0.2487 0.7763 0.000 0.000 0.000 0.032 0.092 0.876
#> 8690FA0F-9C1C-4D97-813A-3FB56827FBFC 6 0.3996 0.8046 0.000 0.104 0.000 0.112 0.008 0.776
#> 9810CF0C-99D1-445B-B1F9-C956D2438495 3 0.1141 0.9166 0.000 0.052 0.948 0.000 0.000 0.000
#> 2F5073E1-9EDD-46B5-95E3-8314E2A5B620 5 0.1500 0.9449 0.012 0.000 0.000 0.000 0.936 0.052
#> B454F9FB-439A-43B5-877D-752D0F138AB5 2 0.2969 0.6534 0.000 0.776 0.000 0.000 0.000 0.224
#> 287F2B71-92F8-4D14-8249-C1BFBB254BE7 1 0.0858 0.9500 0.968 0.000 0.000 0.000 0.004 0.028
#> 52DC920F-0AD5-47CE-BD81-31843876B71E 1 0.0603 0.9539 0.980 0.000 0.000 0.000 0.004 0.016
#> 6BAC4B1B-C3FC-4A09-9821-232E510E6A47 5 0.1633 0.9451 0.024 0.000 0.000 0.000 0.932 0.044
#> A2B87EED-0D8E-4B20-85D3-FD9CC5E2E806 1 0.0547 0.9536 0.980 0.000 0.000 0.000 0.000 0.020
#> 43E6DB93-2DA6-4F0F-BF81-0C3869134D2B 1 0.0363 0.9545 0.988 0.000 0.000 0.000 0.000 0.012
#> 09A2ED74-A7C7-4DBB-8EDD-C80D0F0AEFDF 5 0.1710 0.9384 0.028 0.000 0.000 0.016 0.936 0.020
#> 35EDCB52-D4B5-4305-8A74-95EFE6F2BFB1 5 0.1500 0.9455 0.012 0.000 0.000 0.000 0.936 0.052
#> D5D18AF8-9CC2-496C-A83A-31BBA0195CFD 5 0.3869 0.7431 0.008 0.000 0.000 0.184 0.764 0.044
#> 03767EDF-2F8A-41DE-8D80-F4BE861225A3 5 0.3151 0.6983 0.000 0.000 0.000 0.000 0.748 0.252
#> 586BC656-AD9C-44EF-9ED4-87DEEB5C8AA6 1 0.0632 0.9526 0.976 0.000 0.000 0.000 0.000 0.024
#> 23CA1146-CB1B-4054-A4FF-200B87444BF9 1 0.0260 0.9550 0.992 0.000 0.000 0.000 0.000 0.008
#> 910E9B6D-E7D5-4C83-A19C-1EEA6E135639 4 0.1418 0.9121 0.000 0.000 0.000 0.944 0.032 0.024
#> F36353A3-6CE6-4347-A78B-0AAD8FAB14AD 1 0.0000 0.9551 1.000 0.000 0.000 0.000 0.000 0.000
#> 2045736E-7D0F-4B17-B74B-3B12AEE3E68C 1 0.0363 0.9536 0.988 0.000 0.000 0.000 0.000 0.012
#> 5EFA2C2D-30B3-4D66-9601-354711F9FC56 3 0.0000 0.9698 0.000 0.000 1.000 0.000 0.000 0.000
#> 3FBD381D-84C8-4680-980B-CC4B7924BE06 2 0.0260 0.9098 0.000 0.992 0.000 0.000 0.000 0.008
#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 4 0.3262 0.7794 0.000 0.008 0.000 0.788 0.008 0.196
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 5 0.1364 0.9442 0.012 0.000 0.000 0.016 0.952 0.020
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 2 0.0858 0.9020 0.000 0.968 0.000 0.004 0.000 0.028
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 2 0.0146 0.9085 0.000 0.996 0.000 0.004 0.000 0.000
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 5 0.1180 0.9441 0.012 0.000 0.000 0.016 0.960 0.012
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 6 0.2841 0.8521 0.000 0.164 0.000 0.000 0.012 0.824
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 4 0.1478 0.9234 0.000 0.020 0.000 0.944 0.004 0.032
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 5 0.1863 0.9439 0.016 0.000 0.000 0.004 0.920 0.060
#> A3343F40-F977-4F9B-856A-28781F10F4CD 2 0.2631 0.8003 0.000 0.856 0.000 0.012 0.004 0.128
#> DA144299-5541-47D7-A59E-C92896DF08FC 5 0.1710 0.9382 0.028 0.000 0.000 0.016 0.936 0.020
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 2 0.0458 0.9077 0.000 0.984 0.000 0.000 0.000 0.016
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.0260 0.9550 0.992 0.000 0.000 0.000 0.000 0.008
#> 617447CF-9327-4062-B22C-71A8944C948F 2 0.1218 0.8942 0.000 0.956 0.000 0.012 0.004 0.028
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0000 0.9551 1.000 0.000 0.000 0.000 0.000 0.000
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 2 0.1036 0.8955 0.000 0.964 0.000 0.024 0.004 0.008
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.0972 0.9477 0.964 0.000 0.000 0.000 0.008 0.028
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.0146 0.9098 0.000 0.996 0.000 0.000 0.000 0.004
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.0891 0.9486 0.968 0.000 0.000 0.000 0.008 0.024
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 3 0.0000 0.9698 0.000 0.000 1.000 0.000 0.000 0.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 2 0.1194 0.8898 0.000 0.956 0.000 0.032 0.004 0.008
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 3 0.3868 -0.0230 0.000 0.496 0.504 0.000 0.000 0.000
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.1176 0.9447 0.956 0.000 0.000 0.000 0.020 0.024
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 5 0.1219 0.9414 0.004 0.000 0.000 0.000 0.948 0.048
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.0260 0.9098 0.000 0.992 0.000 0.000 0.000 0.008
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 5 0.1745 0.9449 0.020 0.000 0.000 0.000 0.924 0.056
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.0363 0.9549 0.988 0.000 0.000 0.000 0.000 0.012
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 2 0.3584 0.5444 0.000 0.688 0.308 0.000 0.000 0.004
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 2 0.0603 0.9039 0.000 0.980 0.016 0.000 0.000 0.004
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 5 0.1426 0.9416 0.028 0.000 0.000 0.016 0.948 0.008
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 5 0.1141 0.9390 0.000 0.000 0.000 0.000 0.948 0.052
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.0632 0.9526 0.976 0.000 0.000 0.000 0.000 0.024
#> DA1301D3-1F84-46C5-AB44-079493A81A51 5 0.1367 0.9465 0.012 0.000 0.000 0.000 0.944 0.044
#> A12B1681-B598-40C3-80FE-1801F3F1189D 5 0.1563 0.9446 0.012 0.000 0.000 0.000 0.932 0.056
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 6 0.3212 0.8073 0.000 0.048 0.000 0.100 0.012 0.840
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 4 0.0922 0.9233 0.024 0.000 0.000 0.968 0.004 0.004
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.2793 0.6961 0.000 0.800 0.000 0.000 0.000 0.200
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.5742 0.3315 0.000 0.536 0.000 0.292 0.008 0.164
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 5 0.1074 0.9475 0.012 0.000 0.000 0.000 0.960 0.028
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 6 0.4283 0.7335 0.000 0.096 0.000 0.180 0.000 0.724
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.0260 0.9098 0.000 0.992 0.000 0.000 0.000 0.008
#> 1D0379B1-0E99-4E6D-B890-907C92860654 6 0.4424 0.6587 0.000 0.044 0.000 0.252 0.012 0.692
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.0692 0.9078 0.000 0.976 0.000 0.004 0.000 0.020
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 4 0.1606 0.9192 0.000 0.008 0.000 0.932 0.004 0.056
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 4 0.3755 0.6737 0.000 0.244 0.000 0.732 0.004 0.020
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0458 0.9543 0.984 0.000 0.000 0.000 0.000 0.016
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.0291 0.9074 0.000 0.992 0.000 0.004 0.000 0.004
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 5 0.1794 0.9362 0.028 0.000 0.000 0.016 0.932 0.024
#> ECC40A03-488E-4076-8A3A-234D968623AD 6 0.4191 0.7382 0.000 0.088 0.000 0.180 0.000 0.732
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.1794 0.9225 0.932 0.000 0.000 0.016 0.028 0.024
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.0458 0.9081 0.000 0.984 0.000 0.000 0.000 0.016
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 5 0.1219 0.9414 0.004 0.000 0.000 0.000 0.948 0.048
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.0458 0.9081 0.000 0.984 0.000 0.000 0.000 0.016
#> AC376BBB-667B-4469-B567-9BE18DE0F811 5 0.1713 0.9444 0.028 0.000 0.000 0.000 0.928 0.044
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.0260 0.9098 0.000 0.992 0.000 0.000 0.000 0.008
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.9551 1.000 0.000 0.000 0.000 0.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.9551 1.000 0.000 0.000 0.000 0.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.0508 0.9051 0.000 0.984 0.000 0.012 0.000 0.004
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 5 0.1845 0.9442 0.028 0.000 0.000 0.000 0.920 0.052
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.0717 0.9049 0.000 0.976 0.000 0.008 0.000 0.016
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.9698 0.000 0.000 1.000 0.000 0.000 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 2 0.0260 0.9098 0.000 0.992 0.000 0.000 0.000 0.008
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.2261 0.8516 0.000 0.104 0.884 0.004 0.000 0.008
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 4 0.1536 0.9082 0.040 0.000 0.000 0.940 0.004 0.016
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 6 0.2768 0.8556 0.000 0.156 0.000 0.000 0.012 0.832
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.2261 0.8163 0.000 0.884 0.000 0.104 0.004 0.008
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.0603 0.9036 0.000 0.980 0.000 0.016 0.000 0.004
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 6 0.6087 0.2763 0.000 0.316 0.000 0.292 0.000 0.392
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0260 0.9550 0.992 0.000 0.000 0.000 0.000 0.008
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.9551 1.000 0.000 0.000 0.000 0.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 5 0.1528 0.9417 0.028 0.000 0.000 0.016 0.944 0.012
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.1148 0.9350 0.960 0.000 0.000 0.016 0.020 0.004
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 6 0.2964 0.8259 0.000 0.204 0.000 0.000 0.004 0.792
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 6 0.3636 0.6897 0.000 0.320 0.000 0.000 0.004 0.676
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0777 0.9514 0.972 0.000 0.000 0.000 0.004 0.024
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 6 0.3508 0.7348 0.000 0.292 0.000 0.000 0.004 0.704
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 5 0.4642 0.1364 0.452 0.000 0.000 0.000 0.508 0.040
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 5 0.1622 0.9395 0.028 0.000 0.000 0.016 0.940 0.016
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.9698 0.000 0.000 1.000 0.000 0.000 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 5 0.1498 0.9470 0.028 0.000 0.000 0.000 0.940 0.032
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 17654 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'MAD' method.
#> Subgroups are detected by 'skmeans' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 6.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.970 0.988 0.5012 0.499 0.499
#> 3 3 0.806 0.815 0.923 0.2939 0.814 0.641
#> 4 4 0.712 0.807 0.862 0.1366 0.841 0.584
#> 5 5 0.840 0.776 0.890 0.0739 0.912 0.680
#> 6 6 0.931 0.882 0.950 0.0406 0.903 0.598
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 6
#> attr(,"optional")
#> [1] 2
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
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.9886 1.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 2 0.0000 0.9867 0.000 1.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.0000 0.9886 1.000 0.000
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#> AF866E63-9EA1-4669-B9C4-FC7E877334AE 2 0.0000 0.9867 0.000 1.000
#> F9C8E54A-4CE4-4839-B0CA-58678461EEF1 2 0.0000 0.9867 0.000 1.000
#> AE818BC4-05BF-4E85-A4AD-F3E43DD7D37A 2 0.0000 0.9867 0.000 1.000
#> BA73A860-CADE-408D-8D27-14EADA2B53B0 1 0.0000 0.9886 1.000 0.000
#> 688858C8-48CA-43E9-AE2C-B9D4F80B5EE9 2 0.0000 0.9867 0.000 1.000
#> EB1D52B2-17B3-491E-B484-1235633D6925 2 0.0000 0.9867 0.000 1.000
#> AE261B5D-3881-40B9-8EE7-26B950E0BE16 1 0.0000 0.9886 1.000 0.000
#> 8C9851D5-3091-4DE0-A59E-9122C0CA1CD2 2 0.0000 0.9867 0.000 1.000
#> C8180F95-4E9C-45DB-B959-B47F64167C2D 1 0.7219 0.7491 0.800 0.200
#> 552D3B42-8D22-4B64-B3A2-B3E5D51A8524 2 0.0000 0.9867 0.000 1.000
#> FED9F364-BC3F-4134-BF4B-4D24B0EB8315 1 0.0000 0.9886 1.000 0.000
#> 7B0D7792-C803-4DD0-B9BF-CB83DA2D199A 1 0.0000 0.9886 1.000 0.000
#> B4F82CBB-A47C-44C3-81AC-CF775FF06FCD 1 0.0000 0.9886 1.000 0.000
#> BFAB10CF-5B24-40F7-92E7-C2E60DD779EF 1 0.0000 0.9886 1.000 0.000
#> E4E259E1-48B2-4C76-B113-E46270742F53 2 0.0000 0.9867 0.000 1.000
#> 81FCBC31-367A-4B1C-A832-B133E4A43738 1 0.6048 0.8229 0.852 0.148
#> 8690FA0F-9C1C-4D97-813A-3FB56827FBFC 2 0.0000 0.9867 0.000 1.000
#> 9810CF0C-99D1-445B-B1F9-C956D2438495 2 0.0000 0.9867 0.000 1.000
#> 2F5073E1-9EDD-46B5-95E3-8314E2A5B620 1 0.0000 0.9886 1.000 0.000
#> B454F9FB-439A-43B5-877D-752D0F138AB5 2 0.0000 0.9867 0.000 1.000
#> 287F2B71-92F8-4D14-8249-C1BFBB254BE7 1 0.0000 0.9886 1.000 0.000
#> 52DC920F-0AD5-47CE-BD81-31843876B71E 1 0.0000 0.9886 1.000 0.000
#> 6BAC4B1B-C3FC-4A09-9821-232E510E6A47 1 0.0000 0.9886 1.000 0.000
#> A2B87EED-0D8E-4B20-85D3-FD9CC5E2E806 1 0.0000 0.9886 1.000 0.000
#> 43E6DB93-2DA6-4F0F-BF81-0C3869134D2B 1 0.0000 0.9886 1.000 0.000
#> 09A2ED74-A7C7-4DBB-8EDD-C80D0F0AEFDF 1 0.0000 0.9886 1.000 0.000
#> 35EDCB52-D4B5-4305-8A74-95EFE6F2BFB1 1 0.0000 0.9886 1.000 0.000
#> D5D18AF8-9CC2-496C-A83A-31BBA0195CFD 1 0.0000 0.9886 1.000 0.000
#> 03767EDF-2F8A-41DE-8D80-F4BE861225A3 2 0.6973 0.7654 0.188 0.812
#> 586BC656-AD9C-44EF-9ED4-87DEEB5C8AA6 1 0.0000 0.9886 1.000 0.000
#> 23CA1146-CB1B-4054-A4FF-200B87444BF9 1 0.0000 0.9886 1.000 0.000
#> 910E9B6D-E7D5-4C83-A19C-1EEA6E135639 1 0.0000 0.9886 1.000 0.000
#> F36353A3-6CE6-4347-A78B-0AAD8FAB14AD 1 0.0000 0.9886 1.000 0.000
#> 2045736E-7D0F-4B17-B74B-3B12AEE3E68C 1 0.0000 0.9886 1.000 0.000
#> 5EFA2C2D-30B3-4D66-9601-354711F9FC56 2 0.0000 0.9867 0.000 1.000
#> 3FBD381D-84C8-4680-980B-CC4B7924BE06 2 0.0000 0.9867 0.000 1.000
#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 1 0.0000 0.9886 1.000 0.000
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 1 0.0000 0.9886 1.000 0.000
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 2 0.0000 0.9867 0.000 1.000
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 2 0.0000 0.9867 0.000 1.000
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 1 0.0000 0.9886 1.000 0.000
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 2 0.0000 0.9867 0.000 1.000
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 2 0.9983 0.0915 0.476 0.524
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 1 0.0000 0.9886 1.000 0.000
#> A3343F40-F977-4F9B-856A-28781F10F4CD 2 0.0000 0.9867 0.000 1.000
#> DA144299-5541-47D7-A59E-C92896DF08FC 1 0.0000 0.9886 1.000 0.000
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 2 0.0000 0.9867 0.000 1.000
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.0000 0.9886 1.000 0.000
#> 617447CF-9327-4062-B22C-71A8944C948F 2 0.0000 0.9867 0.000 1.000
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0000 0.9886 1.000 0.000
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 2 0.0000 0.9867 0.000 1.000
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.0000 0.9886 1.000 0.000
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.0000 0.9867 0.000 1.000
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.0000 0.9886 1.000 0.000
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 2 0.0000 0.9867 0.000 1.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 2 0.0000 0.9867 0.000 1.000
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 2 0.0000 0.9867 0.000 1.000
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.0000 0.9886 1.000 0.000
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 1 0.0000 0.9886 1.000 0.000
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.0000 0.9867 0.000 1.000
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 1 0.0000 0.9886 1.000 0.000
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.0000 0.9886 1.000 0.000
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 2 0.0000 0.9867 0.000 1.000
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 2 0.0000 0.9867 0.000 1.000
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 1 0.0000 0.9886 1.000 0.000
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 2 0.7219 0.7475 0.200 0.800
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.0000 0.9886 1.000 0.000
#> DA1301D3-1F84-46C5-AB44-079493A81A51 1 0.0000 0.9886 1.000 0.000
#> A12B1681-B598-40C3-80FE-1801F3F1189D 1 0.0000 0.9886 1.000 0.000
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 2 0.0000 0.9867 0.000 1.000
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 1 0.0000 0.9886 1.000 0.000
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.0000 0.9867 0.000 1.000
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.0000 0.9867 0.000 1.000
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 1 0.0000 0.9886 1.000 0.000
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.0000 0.9867 0.000 1.000
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.0000 0.9867 0.000 1.000
#> 1D0379B1-0E99-4E6D-B890-907C92860654 2 0.0000 0.9867 0.000 1.000
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.0000 0.9867 0.000 1.000
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 2 0.9661 0.3579 0.392 0.608
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 2 0.0000 0.9867 0.000 1.000
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0000 0.9886 1.000 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.0000 0.9867 0.000 1.000
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.0000 0.9886 1.000 0.000
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.0000 0.9867 0.000 1.000
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0000 0.9886 1.000 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.0000 0.9867 0.000 1.000
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 1 0.0000 0.9886 1.000 0.000
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.0000 0.9867 0.000 1.000
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.0000 0.9886 1.000 0.000
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.0000 0.9867 0.000 1.000
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.9886 1.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.9886 1.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.0000 0.9867 0.000 1.000
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.0000 0.9886 1.000 0.000
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.0000 0.9867 0.000 1.000
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 2 0.0000 0.9867 0.000 1.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 2 0.0000 0.9867 0.000 1.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 2 0.0000 0.9867 0.000 1.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 1 0.0000 0.9886 1.000 0.000
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.0000 0.9867 0.000 1.000
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.0000 0.9867 0.000 1.000
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.0000 0.9867 0.000 1.000
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.0000 0.9867 0.000 1.000
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.9886 1.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.9886 1.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.0000 0.9886 1.000 0.000
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0000 0.9886 1.000 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.0000 0.9867 0.000 1.000
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.0000 0.9867 0.000 1.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0000 0.9886 1.000 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.0000 0.9867 0.000 1.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.0000 0.9886 1.000 0.000
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.0000 0.9886 1.000 0.000
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 2 0.0000 0.9867 0.000 1.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.0000 0.9886 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.960 1.000 0.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.905 0.000 0.000 1.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.0000 0.960 1.000 0.000 0.000
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.0000 0.960 1.000 0.000 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.0000 0.960 1.000 0.000 0.000
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.0000 0.960 1.000 0.000 0.000
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 2 0.0000 0.811 0.000 1.000 0.000
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 2 0.0000 0.811 0.000 1.000 0.000
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.0000 0.960 1.000 0.000 0.000
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 1 0.5178 0.671 0.744 0.256 0.000
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.0000 0.960 1.000 0.000 0.000
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 3 0.0000 0.905 0.000 0.000 1.000
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.960 1.000 0.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 3 0.0000 0.905 0.000 0.000 1.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 2 0.4178 0.663 0.172 0.828 0.000
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.6180 0.434 0.000 0.584 0.416
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0000 0.960 1.000 0.000 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.960 1.000 0.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 1 0.0000 0.960 1.000 0.000 0.000
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0000 0.960 1.000 0.000 0.000
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 1 0.5560 0.600 0.700 0.300 0.000
#> 83453F80-8A68-4A3C-995D-85CFB1011249 3 0.0000 0.905 0.000 0.000 1.000
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 2 0.0000 0.811 0.000 1.000 0.000
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0000 0.960 1.000 0.000 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 3 0.6168 0.274 0.000 0.412 0.588
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 1 0.0000 0.960 1.000 0.000 0.000
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.6235 0.385 0.000 0.564 0.436
#> 375FE390-434B-41D3-9029-84065B1D7B6F 2 0.2537 0.764 0.000 0.920 0.080
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 0.960 1.000 0.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 3 0.0000 0.905 0.000 0.000 1.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 3 0.0237 0.901 0.000 0.004 0.996
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 3 0.0000 0.905 0.000 0.000 1.000
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 3 0.0000 0.905 0.000 0.000 1.000
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.0000 0.960 1.000 0.000 0.000
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 3 0.0000 0.905 0.000 0.000 1.000
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 2 0.0000 0.811 0.000 1.000 0.000
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 1 0.0000 0.960 1.000 0.000 0.000
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0000 0.905 0.000 0.000 1.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.0000 0.960 1.000 0.000 0.000
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.0000 0.905 0.000 0.000 1.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 2 0.0000 0.811 0.000 1.000 0.000
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.0000 0.905 0.000 0.000 1.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.0000 0.905 0.000 0.000 1.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 1 0.0000 0.960 1.000 0.000 0.000
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 1 0.6180 0.368 0.584 0.416 0.000
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.0000 0.960 1.000 0.000 0.000
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 2 0.1964 0.793 0.000 0.944 0.056
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 1 0.0000 0.960 1.000 0.000 0.000
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.0000 0.960 1.000 0.000 0.000
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 2 0.0000 0.811 0.000 1.000 0.000
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.4702 0.700 0.000 0.788 0.212
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 2 0.6192 0.142 0.420 0.580 0.000
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.0000 0.905 0.000 0.000 1.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.0000 0.960 1.000 0.000 0.000
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 3 0.0000 0.905 0.000 0.000 1.000
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 2 0.0000 0.811 0.000 1.000 0.000
#> 208165C0-229B-49E2-A22A-575CA3157C9E 2 0.0000 0.811 0.000 1.000 0.000
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 1 0.0000 0.960 1.000 0.000 0.000
#> 01397021-8495-4D89-885A-166B4DBA0122 3 0.0000 0.905 0.000 0.000 1.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 3 0.0000 0.905 0.000 0.000 1.000
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.0000 0.960 1.000 0.000 0.000
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 2 0.0000 0.811 0.000 1.000 0.000
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 3 0.0000 0.905 0.000 0.000 1.000
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 3 0.0000 0.905 0.000 0.000 1.000
#> AA569A06-0F37-4492-93F3-60A4539A3E82 2 0.0000 0.811 0.000 1.000 0.000
#> BC53FB75-94CA-48C3-875B-5987037D186F 3 0.0000 0.905 0.000 0.000 1.000
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 1 0.0000 0.960 1.000 0.000 0.000
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#> 730CA517-8503-4D09-A579-1D2BC4E791C5 3 0.0000 0.905 0.000 0.000 1.000
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 2 0.0000 0.811 0.000 1.000 0.000
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 1 0.0000 0.960 1.000 0.000 0.000
#> A3343F40-F977-4F9B-856A-28781F10F4CD 2 0.6192 0.425 0.000 0.580 0.420
#> DA144299-5541-47D7-A59E-C92896DF08FC 1 0.0000 0.960 1.000 0.000 0.000
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 3 0.0000 0.905 0.000 0.000 1.000
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.0000 0.960 1.000 0.000 0.000
#> 617447CF-9327-4062-B22C-71A8944C948F 2 0.3267 0.766 0.000 0.884 0.116
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0000 0.960 1.000 0.000 0.000
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 2 0.4654 0.703 0.000 0.792 0.208
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.0000 0.960 1.000 0.000 0.000
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 3 0.6095 0.211 0.000 0.392 0.608
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.0000 0.960 1.000 0.000 0.000
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 3 0.0000 0.905 0.000 0.000 1.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 2 0.6026 0.503 0.000 0.624 0.376
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 3 0.0000 0.905 0.000 0.000 1.000
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.0000 0.960 1.000 0.000 0.000
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 1 0.0000 0.960 1.000 0.000 0.000
#> 69365512-8052-4BEA-B60D-9E065DD436BB 3 0.6095 0.211 0.000 0.392 0.608
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 1 0.0000 0.960 1.000 0.000 0.000
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.0000 0.960 1.000 0.000 0.000
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 3 0.0000 0.905 0.000 0.000 1.000
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 3 0.0000 0.905 0.000 0.000 1.000
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 1 0.0000 0.960 1.000 0.000 0.000
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 3 0.4504 0.650 0.196 0.000 0.804
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.0000 0.960 1.000 0.000 0.000
#> DA1301D3-1F84-46C5-AB44-079493A81A51 1 0.0000 0.960 1.000 0.000 0.000
#> A12B1681-B598-40C3-80FE-1801F3F1189D 1 0.0000 0.960 1.000 0.000 0.000
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 2 0.0000 0.811 0.000 1.000 0.000
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 2 0.5785 0.385 0.332 0.668 0.000
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 3 0.0000 0.905 0.000 0.000 1.000
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.0000 0.811 0.000 1.000 0.000
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 1 0.0000 0.960 1.000 0.000 0.000
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 3 0.5098 0.603 0.000 0.248 0.752
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 3 0.0000 0.905 0.000 0.000 1.000
#> 1D0379B1-0E99-4E6D-B890-907C92860654 2 0.0000 0.811 0.000 1.000 0.000
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.6045 0.498 0.000 0.620 0.380
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 2 0.0000 0.811 0.000 1.000 0.000
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 2 0.0000 0.811 0.000 1.000 0.000
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0000 0.960 1.000 0.000 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.6180 0.434 0.000 0.584 0.416
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.0000 0.960 1.000 0.000 0.000
#> ECC40A03-488E-4076-8A3A-234D968623AD 3 0.5138 0.597 0.000 0.252 0.748
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0000 0.960 1.000 0.000 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.6154 0.450 0.000 0.592 0.408
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 1 0.1411 0.925 0.964 0.000 0.036
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.6180 0.434 0.000 0.584 0.416
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.0000 0.960 1.000 0.000 0.000
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 3 0.6095 0.211 0.000 0.392 0.608
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.960 1.000 0.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.960 1.000 0.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.6140 0.457 0.000 0.596 0.404
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.0000 0.960 1.000 0.000 0.000
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.3816 0.747 0.000 0.852 0.148
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.905 0.000 0.000 1.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 3 0.0000 0.905 0.000 0.000 1.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.0000 0.905 0.000 0.000 1.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 1 0.5138 0.677 0.748 0.252 0.000
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 3 0.0000 0.905 0.000 0.000 1.000
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.4702 0.700 0.000 0.788 0.212
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.6180 0.434 0.000 0.584 0.416
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.0000 0.811 0.000 1.000 0.000
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.960 1.000 0.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.960 1.000 0.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.0000 0.960 1.000 0.000 0.000
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0000 0.960 1.000 0.000 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 3 0.0000 0.905 0.000 0.000 1.000
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 3 0.0000 0.905 0.000 0.000 1.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0000 0.960 1.000 0.000 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 3 0.0000 0.905 0.000 0.000 1.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.0000 0.960 1.000 0.000 0.000
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.0000 0.960 1.000 0.000 0.000
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.905 0.000 0.000 1.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.0000 0.960 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.3764 0.9191 0.784 0.000 0.000 0.216
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.8737 0.000 0.000 1.000 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 4 0.0000 0.9091 0.000 0.000 0.000 1.000
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.3764 0.9191 0.784 0.000 0.000 0.216
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 4 0.0000 0.9091 0.000 0.000 0.000 1.000
#> 1B76089D-785F-4353-A898-4E632023D482 4 0.4985 -0.2444 0.468 0.000 0.000 0.532
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 2 0.4134 0.7755 0.260 0.740 0.000 0.000
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 2 0.3764 0.7999 0.216 0.784 0.000 0.000
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 4 0.0000 0.9091 0.000 0.000 0.000 1.000
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 1 0.3569 0.4917 0.804 0.000 0.000 0.196
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.4193 0.8628 0.732 0.000 0.000 0.268
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 3 0.1474 0.8559 0.000 0.052 0.948 0.000
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.3764 0.9191 0.784 0.000 0.000 0.216
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 3 0.0000 0.8737 0.000 0.000 1.000 0.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 1 0.1022 0.6926 0.968 0.032 0.000 0.000
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.4164 0.7191 0.000 0.736 0.264 0.000
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.3764 0.9191 0.784 0.000 0.000 0.216
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.3764 0.9191 0.784 0.000 0.000 0.216
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 4 0.0000 0.9091 0.000 0.000 0.000 1.000
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.3801 0.9151 0.780 0.000 0.000 0.220
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 4 0.0804 0.8932 0.012 0.008 0.000 0.980
#> 83453F80-8A68-4A3C-995D-85CFB1011249 3 0.0000 0.8737 0.000 0.000 1.000 0.000
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 2 0.3873 0.7940 0.228 0.772 0.000 0.000
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.3764 0.9191 0.784 0.000 0.000 0.216
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 4 0.3942 0.6203 0.000 0.236 0.000 0.764
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 4 0.0000 0.9091 0.000 0.000 0.000 1.000
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.3172 0.6985 0.000 0.840 0.160 0.000
#> 375FE390-434B-41D3-9029-84065B1D7B6F 2 0.2799 0.7423 0.000 0.884 0.108 0.008
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.3764 0.9191 0.784 0.000 0.000 0.216
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 3 0.0000 0.8737 0.000 0.000 1.000 0.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 3 0.3311 0.8076 0.000 0.172 0.828 0.000
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 3 0.3907 0.7754 0.000 0.232 0.768 0.000
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 3 0.3942 0.7724 0.000 0.236 0.764 0.000
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 4 0.0000 0.9091 0.000 0.000 0.000 1.000
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 3 0.0000 0.8737 0.000 0.000 1.000 0.000
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 2 0.0188 0.8235 0.004 0.996 0.000 0.000
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 4 0.0000 0.9091 0.000 0.000 0.000 1.000
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0000 0.8737 0.000 0.000 1.000 0.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.3764 0.9191 0.784 0.000 0.000 0.216
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.0000 0.8737 0.000 0.000 1.000 0.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 2 0.3764 0.7999 0.216 0.784 0.000 0.000
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.0000 0.8737 0.000 0.000 1.000 0.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.0000 0.8737 0.000 0.000 1.000 0.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 4 0.0000 0.9091 0.000 0.000 0.000 1.000
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 1 0.0000 0.7218 1.000 0.000 0.000 0.000
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.3764 0.9191 0.784 0.000 0.000 0.216
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 2 0.0707 0.8255 0.020 0.980 0.000 0.000
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 4 0.0000 0.9091 0.000 0.000 0.000 1.000
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.4406 0.8130 0.700 0.000 0.000 0.300
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 2 0.0524 0.8224 0.004 0.988 0.000 0.008
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.2466 0.8151 0.004 0.900 0.096 0.000
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 1 0.0817 0.6997 0.976 0.024 0.000 0.000
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.0000 0.8737 0.000 0.000 1.000 0.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.3764 0.9191 0.784 0.000 0.000 0.216
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 3 0.3942 0.7724 0.000 0.236 0.764 0.000
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 2 0.3764 0.7999 0.216 0.784 0.000 0.000
#> 208165C0-229B-49E2-A22A-575CA3157C9E 2 0.0000 0.8226 0.000 1.000 0.000 0.000
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 1 0.3764 0.9191 0.784 0.000 0.000 0.216
#> 01397021-8495-4D89-885A-166B4DBA0122 3 0.0000 0.8737 0.000 0.000 1.000 0.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 3 0.0000 0.8737 0.000 0.000 1.000 0.000
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.3764 0.9191 0.784 0.000 0.000 0.216
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 2 0.3764 0.7999 0.216 0.784 0.000 0.000
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 3 0.0000 0.8737 0.000 0.000 1.000 0.000
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 3 0.0000 0.8737 0.000 0.000 1.000 0.000
#> AA569A06-0F37-4492-93F3-60A4539A3E82 2 0.0000 0.8226 0.000 1.000 0.000 0.000
#> BC53FB75-94CA-48C3-875B-5987037D186F 3 0.3907 0.7754 0.000 0.232 0.768 0.000
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 1 0.3764 0.9191 0.784 0.000 0.000 0.216
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 3 0.3801 0.7833 0.000 0.220 0.780 0.000
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 2 0.0000 0.8226 0.000 1.000 0.000 0.000
#> DF67F589-A607-4B95-96B8-4BB344132312 3 0.6039 0.6049 0.188 0.128 0.684 0.000
#> A65233E6-C146-4ACF-8DDE-5FB12D8D9637 3 0.0000 0.8737 0.000 0.000 1.000 0.000
#> 7578C9A3-FFF8-45C4-AC28-1C6141A9A2AD 1 0.3764 0.9191 0.784 0.000 0.000 0.216
#> 4DF775B9-E2FE-4F5E-8329-C37E21C5D10E 4 0.0000 0.9091 0.000 0.000 0.000 1.000
#> 5E6B86C6-3D79-47BB-9FAF-CA22659CFEA7 4 0.0000 0.9091 0.000 0.000 0.000 1.000
#> 53286128-668B-47EA-9A5F-D768FDCCBE88 1 0.3764 0.9191 0.784 0.000 0.000 0.216
#> 01C9F351-97FE-4037-A879-9D96A3DD3FBB 3 0.0000 0.8737 0.000 0.000 1.000 0.000
#> 5487DB21-6A58-46AC-A2A1-E343082D41D8 4 0.1940 0.8399 0.076 0.000 0.000 0.924
#> 0FB3E997-4E31-4FA6-9654-11C3C0AF8D86 2 0.3801 0.6106 0.000 0.780 0.220 0.000
#> A0706E80-FDF9-4721-BEB4-90527F6D38C4 2 0.4304 0.7012 0.000 0.716 0.284 0.000
#> 5260226E-1826-4F54-8237-28993DD2EF04 3 0.0000 0.8737 0.000 0.000 1.000 0.000
#> F53F71A7-A399-49AB-8657-019C5C56F48C 3 0.3942 0.7724 0.000 0.236 0.764 0.000
#> 008159F2-5247-479A-8BFE-C394888D0B74 2 0.3764 0.7999 0.216 0.784 0.000 0.000
#> 9E6BA6FB-35F2-4510-94AE-3E7CDFED3D47 3 0.0000 0.8737 0.000 0.000 1.000 0.000
#> F12BE7AC-D2DD-4AD1-AB37-32DC85954F59 1 0.2973 0.5581 0.856 0.144 0.000 0.000
#> 38A6BA1F-B444-4155-A168-EC2DF0EE0785 1 0.4193 0.8593 0.732 0.000 0.000 0.268
#> B107D1DE-EE52-4E89-B75A-91124BFF99AE 3 0.0000 0.8737 0.000 0.000 1.000 0.000
#> D4D16D09-8895-4BEA-ABF7-F11C5D5BDCAA 4 0.3024 0.7499 0.148 0.000 0.000 0.852
#> 9A53C473-1364-4BB6-AD36-EF53E0208450 1 0.3764 0.9191 0.784 0.000 0.000 0.216
#> F00C0ED6-C811-4F32-BDB4-4ACA7861DC7D 2 0.4331 0.6978 0.000 0.712 0.288 0.000
#> 72618985-CD49-4B6F-8CB0-5EE590FAD09A 2 0.0188 0.8217 0.000 0.996 0.004 0.000
#> 978A315F-CCE9-4D03-A680-C0AD60B10557 2 0.1716 0.8189 0.000 0.936 0.064 0.000
#> B6EACAED-3944-4510-B685-0BB8D1651D4F 4 0.0000 0.9091 0.000 0.000 0.000 1.000
#> EBCF16B4-A804-45EB-8253-0F28A2645729 4 0.0000 0.9091 0.000 0.000 0.000 1.000
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#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 2 0.3649 0.8033 0.204 0.796 0.000 0.000
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 4 0.0000 0.9091 0.000 0.000 0.000 1.000
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 2 0.0336 0.8209 0.000 0.992 0.008 0.000
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 2 0.4855 0.5366 0.000 0.600 0.400 0.000
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 4 0.0000 0.9091 0.000 0.000 0.000 1.000
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 3 0.3801 0.7833 0.000 0.220 0.780 0.000
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 2 0.3764 0.7999 0.216 0.784 0.000 0.000
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 1 0.4008 0.8912 0.756 0.000 0.000 0.244
#> A3343F40-F977-4F9B-856A-28781F10F4CD 2 0.4222 0.7125 0.000 0.728 0.272 0.000
#> DA144299-5541-47D7-A59E-C92896DF08FC 1 0.3942 0.8984 0.764 0.000 0.000 0.236
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 3 0.0188 0.8724 0.000 0.004 0.996 0.000
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.3764 0.9191 0.784 0.000 0.000 0.216
#> 617447CF-9327-4062-B22C-71A8944C948F 2 0.0000 0.8226 0.000 1.000 0.000 0.000
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.3764 0.9191 0.784 0.000 0.000 0.216
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 2 0.4098 0.7611 0.012 0.784 0.204 0.000
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.3764 0.9191 0.784 0.000 0.000 0.216
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.4972 0.4180 0.000 0.544 0.456 0.000
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.3764 0.9191 0.784 0.000 0.000 0.216
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 3 0.0000 0.8737 0.000 0.000 1.000 0.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 2 0.4008 0.7340 0.000 0.756 0.244 0.000
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 3 0.0000 0.8737 0.000 0.000 1.000 0.000
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.3764 0.9191 0.784 0.000 0.000 0.216
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 4 0.0000 0.9091 0.000 0.000 0.000 1.000
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.4564 0.5479 0.000 0.672 0.328 0.000
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 4 0.0000 0.9091 0.000 0.000 0.000 1.000
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.3764 0.9191 0.784 0.000 0.000 0.216
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 3 0.0000 0.8737 0.000 0.000 1.000 0.000
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 3 0.0000 0.8737 0.000 0.000 1.000 0.000
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 4 0.0000 0.9091 0.000 0.000 0.000 1.000
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 4 0.2469 0.8030 0.000 0.108 0.000 0.892
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.3764 0.9191 0.784 0.000 0.000 0.216
#> DA1301D3-1F84-46C5-AB44-079493A81A51 4 0.0000 0.9091 0.000 0.000 0.000 1.000
#> A12B1681-B598-40C3-80FE-1801F3F1189D 4 0.0000 0.9091 0.000 0.000 0.000 1.000
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 2 0.0188 0.8236 0.004 0.996 0.000 0.000
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 1 0.3569 0.4619 0.804 0.196 0.000 0.000
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 3 0.3837 0.7809 0.000 0.224 0.776 0.000
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.0817 0.8259 0.024 0.976 0.000 0.000
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 4 0.0000 0.9091 0.000 0.000 0.000 1.000
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 3 0.6039 0.6049 0.188 0.128 0.684 0.000
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 3 0.0000 0.8737 0.000 0.000 1.000 0.000
#> 1D0379B1-0E99-4E6D-B890-907C92860654 2 0.3688 0.8019 0.208 0.792 0.000 0.000
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.0592 0.8182 0.000 0.984 0.016 0.000
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 2 0.3764 0.7999 0.216 0.784 0.000 0.000
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 2 0.3764 0.7999 0.216 0.784 0.000 0.000
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.3764 0.9191 0.784 0.000 0.000 0.216
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.3942 0.7433 0.000 0.764 0.236 0.000
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 4 0.2973 0.7559 0.144 0.000 0.000 0.856
#> ECC40A03-488E-4076-8A3A-234D968623AD 3 0.6112 0.5955 0.196 0.128 0.676 0.000
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.3764 0.9191 0.784 0.000 0.000 0.216
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.0707 0.8168 0.000 0.980 0.020 0.000
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 4 0.0000 0.9091 0.000 0.000 0.000 1.000
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.2408 0.7602 0.000 0.896 0.104 0.000
#> AC376BBB-667B-4469-B567-9BE18DE0F811 4 0.2408 0.8081 0.104 0.000 0.000 0.896
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.4985 0.3848 0.000 0.532 0.468 0.000
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.3764 0.9191 0.784 0.000 0.000 0.216
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.3764 0.9191 0.784 0.000 0.000 0.216
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.3907 0.7449 0.000 0.768 0.232 0.000
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.3764 0.9191 0.784 0.000 0.000 0.216
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.0000 0.8226 0.000 1.000 0.000 0.000
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.8737 0.000 0.000 1.000 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 3 0.0000 0.8737 0.000 0.000 1.000 0.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.0000 0.8737 0.000 0.000 1.000 0.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 1 0.0000 0.7218 1.000 0.000 0.000 0.000
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 3 0.3801 0.7833 0.000 0.220 0.780 0.000
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.4364 0.7487 0.016 0.764 0.220 0.000
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.4406 0.6843 0.000 0.700 0.300 0.000
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.0000 0.8226 0.000 1.000 0.000 0.000
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.3764 0.9191 0.784 0.000 0.000 0.216
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.3764 0.9191 0.784 0.000 0.000 0.216
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 4 0.1792 0.8483 0.068 0.000 0.000 0.932
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.3764 0.9191 0.784 0.000 0.000 0.216
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 3 0.3907 0.7754 0.000 0.232 0.768 0.000
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 3 0.4454 0.6937 0.000 0.308 0.692 0.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.3764 0.9191 0.784 0.000 0.000 0.216
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 3 0.3942 0.7731 0.000 0.236 0.764 0.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.3764 0.9191 0.784 0.000 0.000 0.216
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 4 0.2973 0.7559 0.144 0.000 0.000 0.856
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.8737 0.000 0.000 1.000 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 4 0.0000 0.9091 0.000 0.000 0.000 1.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.90740 1.000 0.000 0.000 0.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.94492 0.000 0.000 1.000 0.000 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 5 0.0290 0.94260 0.008 0.000 0.000 0.000 0.992
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.0000 0.90740 1.000 0.000 0.000 0.000 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 5 0.0290 0.94260 0.008 0.000 0.000 0.000 0.992
#> 1B76089D-785F-4353-A898-4E632023D482 5 0.4278 0.30792 0.452 0.000 0.000 0.000 0.548
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 4 0.0880 0.62292 0.032 0.000 0.000 0.968 0.000
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 2 0.4045 0.45840 0.000 0.644 0.000 0.356 0.000
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 5 0.0290 0.94260 0.008 0.000 0.000 0.000 0.992
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 1 0.5353 0.56491 0.600 0.000 0.000 0.328 0.072
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.3274 0.69558 0.780 0.000 0.000 0.000 0.220
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 3 0.0771 0.92460 0.000 0.020 0.976 0.000 0.004
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.90740 1.000 0.000 0.000 0.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 3 0.0162 0.94300 0.000 0.000 0.996 0.000 0.004
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 1 0.4182 0.54833 0.600 0.000 0.000 0.400 0.000
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 4 0.4689 0.46776 0.000 0.008 0.392 0.592 0.008
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0000 0.90740 1.000 0.000 0.000 0.000 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.90740 1.000 0.000 0.000 0.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 5 0.0290 0.94260 0.008 0.000 0.000 0.000 0.992
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0000 0.90740 1.000 0.000 0.000 0.000 0.000
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 5 0.0486 0.93811 0.004 0.004 0.000 0.004 0.988
#> 83453F80-8A68-4A3C-995D-85CFB1011249 3 0.0740 0.93064 0.000 0.008 0.980 0.004 0.008
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 4 0.0000 0.64290 0.000 0.000 0.000 1.000 0.000
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0000 0.90740 1.000 0.000 0.000 0.000 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 2 0.0290 0.89379 0.000 0.992 0.000 0.000 0.008
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 5 0.0290 0.94260 0.008 0.000 0.000 0.000 0.992
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 4 0.4557 0.30366 0.000 0.476 0.000 0.516 0.008
#> 375FE390-434B-41D3-9029-84065B1D7B6F 2 0.0324 0.89450 0.000 0.992 0.000 0.004 0.004
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 0.90740 1.000 0.000 0.000 0.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 3 0.0740 0.93064 0.000 0.008 0.980 0.004 0.008
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.5757 0.42740 0.000 0.640 0.216 0.136 0.008
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.0290 0.89468 0.000 0.992 0.008 0.000 0.000
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.0000 0.89640 0.000 1.000 0.000 0.000 0.000
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 5 0.0510 0.93795 0.016 0.000 0.000 0.000 0.984
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 3 0.0290 0.94087 0.000 0.000 0.992 0.000 0.008
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 2 0.0963 0.87246 0.000 0.964 0.000 0.036 0.000
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 5 0.0404 0.94060 0.012 0.000 0.000 0.000 0.988
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0000 0.94492 0.000 0.000 1.000 0.000 0.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.0000 0.90740 1.000 0.000 0.000 0.000 0.000
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.0000 0.94492 0.000 0.000 1.000 0.000 0.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 4 0.0000 0.64290 0.000 0.000 0.000 1.000 0.000
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.0000 0.94492 0.000 0.000 1.000 0.000 0.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.0000 0.94492 0.000 0.000 1.000 0.000 0.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 5 0.0290 0.94260 0.008 0.000 0.000 0.000 0.992
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 1 0.4201 0.53909 0.592 0.000 0.000 0.408 0.000
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.0000 0.90740 1.000 0.000 0.000 0.000 0.000
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 4 0.3455 0.60038 0.000 0.208 0.000 0.784 0.008
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 5 0.0290 0.94260 0.008 0.000 0.000 0.000 0.992
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.3534 0.57638 0.744 0.000 0.000 0.000 0.256
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 2 0.0609 0.88580 0.000 0.980 0.000 0.020 0.000
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 4 0.5318 0.63566 0.000 0.140 0.156 0.696 0.008
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 1 0.4227 0.52113 0.580 0.000 0.000 0.420 0.000
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.0000 0.94492 0.000 0.000 1.000 0.000 0.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.0000 0.90740 1.000 0.000 0.000 0.000 0.000
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 2 0.0290 0.89468 0.000 0.992 0.008 0.000 0.000
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 4 0.0000 0.64290 0.000 0.000 0.000 1.000 0.000
#> 208165C0-229B-49E2-A22A-575CA3157C9E 2 0.0000 0.89640 0.000 1.000 0.000 0.000 0.000
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 1 0.0000 0.90740 1.000 0.000 0.000 0.000 0.000
#> 01397021-8495-4D89-885A-166B4DBA0122 3 0.0000 0.94492 0.000 0.000 1.000 0.000 0.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 3 0.0000 0.94492 0.000 0.000 1.000 0.000 0.000
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.0000 0.90740 1.000 0.000 0.000 0.000 0.000
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 4 0.0000 0.64290 0.000 0.000 0.000 1.000 0.000
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 3 0.0290 0.94087 0.000 0.000 0.992 0.000 0.008
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 3 0.0324 0.94115 0.000 0.000 0.992 0.004 0.004
#> AA569A06-0F37-4492-93F3-60A4539A3E82 2 0.0000 0.89640 0.000 1.000 0.000 0.000 0.000
#> BC53FB75-94CA-48C3-875B-5987037D186F 2 0.0000 0.89640 0.000 1.000 0.000 0.000 0.000
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 1 0.0000 0.90740 1.000 0.000 0.000 0.000 0.000
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 2 0.0290 0.89468 0.000 0.992 0.008 0.000 0.000
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 2 0.3231 0.63342 0.000 0.800 0.000 0.196 0.004
#> DF67F589-A607-4B95-96B8-4BB344132312 3 0.3395 0.65492 0.000 0.000 0.764 0.236 0.000
#> A65233E6-C146-4ACF-8DDE-5FB12D8D9637 3 0.0000 0.94492 0.000 0.000 1.000 0.000 0.000
#> 7578C9A3-FFF8-45C4-AC28-1C6141A9A2AD 1 0.0000 0.90740 1.000 0.000 0.000 0.000 0.000
#> 4DF775B9-E2FE-4F5E-8329-C37E21C5D10E 5 0.0324 0.93942 0.004 0.004 0.000 0.000 0.992
#> 5E6B86C6-3D79-47BB-9FAF-CA22659CFEA7 5 0.0290 0.94260 0.008 0.000 0.000 0.000 0.992
#> 53286128-668B-47EA-9A5F-D768FDCCBE88 1 0.0000 0.90740 1.000 0.000 0.000 0.000 0.000
#> 01C9F351-97FE-4037-A879-9D96A3DD3FBB 3 0.0290 0.94087 0.000 0.000 0.992 0.000 0.008
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#> F9C8E54A-4CE4-4839-B0CA-58678461EEF1 3 0.4816 -0.25682 0.000 0.008 0.500 0.484 0.008
#> AE818BC4-05BF-4E85-A4AD-F3E43DD7D37A 4 0.4800 0.35250 0.000 0.008 0.456 0.528 0.008
#> BA73A860-CADE-408D-8D27-14EADA2B53B0 1 0.4182 0.54969 0.600 0.000 0.000 0.400 0.000
#> 688858C8-48CA-43E9-AE2C-B9D4F80B5EE9 2 0.0579 0.88744 0.000 0.984 0.000 0.008 0.008
#> EB1D52B2-17B3-491E-B484-1235633D6925 2 0.0290 0.89379 0.000 0.992 0.000 0.000 0.008
#> AE261B5D-3881-40B9-8EE7-26B950E0BE16 1 0.0000 0.90740 1.000 0.000 0.000 0.000 0.000
#> 8C9851D5-3091-4DE0-A59E-9122C0CA1CD2 4 0.4689 0.46776 0.000 0.008 0.392 0.592 0.008
#> C8180F95-4E9C-45DB-B959-B47F64167C2D 4 0.4015 0.05494 0.348 0.000 0.000 0.652 0.000
#> 552D3B42-8D22-4B64-B3A2-B3E5D51A8524 4 0.4538 0.35496 0.000 0.452 0.000 0.540 0.008
#> FED9F364-BC3F-4134-BF4B-4D24B0EB8315 5 0.0404 0.94060 0.012 0.000 0.000 0.000 0.988
#> 7B0D7792-C803-4DD0-B9BF-CB83DA2D199A 1 0.0000 0.90740 1.000 0.000 0.000 0.000 0.000
#> B4F82CBB-A47C-44C3-81AC-CF775FF06FCD 1 0.0000 0.90740 1.000 0.000 0.000 0.000 0.000
#> BFAB10CF-5B24-40F7-92E7-C2E60DD779EF 5 0.0290 0.94260 0.008 0.000 0.000 0.000 0.992
#> E4E259E1-48B2-4C76-B113-E46270742F53 2 0.0290 0.89468 0.000 0.992 0.008 0.000 0.000
#> 81FCBC31-367A-4B1C-A832-B133E4A43738 2 0.5691 0.42387 0.000 0.592 0.000 0.296 0.112
#> 8690FA0F-9C1C-4D97-813A-3FB56827FBFC 4 0.4455 0.43358 0.000 0.404 0.000 0.588 0.008
#> 9810CF0C-99D1-445B-B1F9-C956D2438495 3 0.0000 0.94492 0.000 0.000 1.000 0.000 0.000
#> 2F5073E1-9EDD-46B5-95E3-8314E2A5B620 5 0.0290 0.94260 0.008 0.000 0.000 0.000 0.992
#> B454F9FB-439A-43B5-877D-752D0F138AB5 3 0.3756 0.58089 0.000 0.248 0.744 0.000 0.008
#> 287F2B71-92F8-4D14-8249-C1BFBB254BE7 1 0.0000 0.90740 1.000 0.000 0.000 0.000 0.000
#> 52DC920F-0AD5-47CE-BD81-31843876B71E 1 0.0000 0.90740 1.000 0.000 0.000 0.000 0.000
#> 6BAC4B1B-C3FC-4A09-9821-232E510E6A47 5 0.0404 0.94060 0.012 0.000 0.000 0.000 0.988
#> A2B87EED-0D8E-4B20-85D3-FD9CC5E2E806 1 0.0000 0.90740 1.000 0.000 0.000 0.000 0.000
#> 43E6DB93-2DA6-4F0F-BF81-0C3869134D2B 1 0.0000 0.90740 1.000 0.000 0.000 0.000 0.000
#> 09A2ED74-A7C7-4DBB-8EDD-C80D0F0AEFDF 5 0.3336 0.74133 0.228 0.000 0.000 0.000 0.772
#> 35EDCB52-D4B5-4305-8A74-95EFE6F2BFB1 5 0.1965 0.86883 0.096 0.000 0.000 0.000 0.904
#> D5D18AF8-9CC2-496C-A83A-31BBA0195CFD 1 0.0000 0.90740 1.000 0.000 0.000 0.000 0.000
#> 03767EDF-2F8A-41DE-8D80-F4BE861225A3 5 0.1043 0.90992 0.000 0.040 0.000 0.000 0.960
#> 586BC656-AD9C-44EF-9ED4-87DEEB5C8AA6 1 0.0000 0.90740 1.000 0.000 0.000 0.000 0.000
#> 23CA1146-CB1B-4054-A4FF-200B87444BF9 1 0.0000 0.90740 1.000 0.000 0.000 0.000 0.000
#> 910E9B6D-E7D5-4C83-A19C-1EEA6E135639 1 0.4171 0.55458 0.604 0.000 0.000 0.396 0.000
#> F36353A3-6CE6-4347-A78B-0AAD8FAB14AD 1 0.0000 0.90740 1.000 0.000 0.000 0.000 0.000
#> 2045736E-7D0F-4B17-B74B-3B12AEE3E68C 1 0.0000 0.90740 1.000 0.000 0.000 0.000 0.000
#> 5EFA2C2D-30B3-4D66-9601-354711F9FC56 3 0.0000 0.94492 0.000 0.000 1.000 0.000 0.000
#> 3FBD381D-84C8-4680-980B-CC4B7924BE06 4 0.4557 0.30366 0.000 0.476 0.000 0.516 0.008
#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 4 0.2516 0.55140 0.000 0.140 0.000 0.860 0.000
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 5 0.0290 0.94260 0.008 0.000 0.000 0.000 0.992
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 4 0.4464 0.42953 0.000 0.408 0.000 0.584 0.008
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 4 0.4751 0.42370 0.000 0.008 0.420 0.564 0.008
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 5 0.0290 0.94260 0.008 0.000 0.000 0.000 0.992
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 2 0.0290 0.89468 0.000 0.992 0.008 0.000 0.000
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 4 0.0000 0.64290 0.000 0.000 0.000 1.000 0.000
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 1 0.2561 0.78523 0.856 0.000 0.000 0.000 0.144
#> A3343F40-F977-4F9B-856A-28781F10F4CD 4 0.4689 0.46776 0.000 0.008 0.392 0.592 0.008
#> DA144299-5541-47D7-A59E-C92896DF08FC 1 0.3143 0.70857 0.796 0.000 0.000 0.000 0.204
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 3 0.2249 0.84133 0.000 0.096 0.896 0.000 0.008
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.0000 0.90740 1.000 0.000 0.000 0.000 0.000
#> 617447CF-9327-4062-B22C-71A8944C948F 4 0.4446 0.44046 0.000 0.400 0.000 0.592 0.008
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0000 0.90740 1.000 0.000 0.000 0.000 0.000
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 4 0.4134 0.58905 0.000 0.008 0.264 0.720 0.008
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.0000 0.90740 1.000 0.000 0.000 0.000 0.000
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 4 0.4807 0.33624 0.000 0.008 0.464 0.520 0.008
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.0000 0.90740 1.000 0.000 0.000 0.000 0.000
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 3 0.0000 0.94492 0.000 0.000 1.000 0.000 0.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 4 0.4657 0.48153 0.000 0.008 0.380 0.604 0.008
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 3 0.0000 0.94492 0.000 0.000 1.000 0.000 0.000
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.0000 0.90740 1.000 0.000 0.000 0.000 0.000
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 5 0.0290 0.94260 0.008 0.000 0.000 0.000 0.992
#> 69365512-8052-4BEA-B60D-9E065DD436BB 4 0.6586 0.53586 0.000 0.244 0.228 0.520 0.008
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 5 0.0290 0.94260 0.008 0.000 0.000 0.000 0.992
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.0000 0.90740 1.000 0.000 0.000 0.000 0.000
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 3 0.0000 0.94492 0.000 0.000 1.000 0.000 0.000
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 3 0.0290 0.94087 0.000 0.000 0.992 0.000 0.008
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 5 0.0290 0.94260 0.008 0.000 0.000 0.000 0.992
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 5 0.0290 0.93526 0.000 0.008 0.000 0.000 0.992
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.0000 0.90740 1.000 0.000 0.000 0.000 0.000
#> DA1301D3-1F84-46C5-AB44-079493A81A51 5 0.0290 0.94260 0.008 0.000 0.000 0.000 0.992
#> A12B1681-B598-40C3-80FE-1801F3F1189D 5 0.0290 0.94260 0.008 0.000 0.000 0.000 0.992
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 2 0.0404 0.89182 0.000 0.988 0.000 0.012 0.000
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 1 0.4297 0.43218 0.528 0.000 0.000 0.472 0.000
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.0290 0.89297 0.000 0.992 0.000 0.000 0.008
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 4 0.3551 0.59419 0.000 0.220 0.000 0.772 0.008
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 5 0.0290 0.94260 0.008 0.000 0.000 0.000 0.992
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 3 0.3395 0.65492 0.000 0.000 0.764 0.236 0.000
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 3 0.0290 0.94087 0.000 0.000 0.992 0.000 0.008
#> 1D0379B1-0E99-4E6D-B890-907C92860654 2 0.3508 0.61145 0.000 0.748 0.000 0.252 0.000
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.4560 -0.23692 0.000 0.508 0.000 0.484 0.008
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 4 0.0000 0.64290 0.000 0.000 0.000 1.000 0.000
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 4 0.0290 0.64366 0.000 0.008 0.000 0.992 0.000
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0000 0.90740 1.000 0.000 0.000 0.000 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 4 0.4939 0.48109 0.000 0.020 0.380 0.592 0.008
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 5 0.3003 0.78490 0.188 0.000 0.000 0.000 0.812
#> ECC40A03-488E-4076-8A3A-234D968623AD 3 0.3395 0.65492 0.000 0.000 0.764 0.236 0.000
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0000 0.90740 1.000 0.000 0.000 0.000 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 4 0.4533 0.36271 0.000 0.448 0.000 0.544 0.008
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 5 0.0324 0.93942 0.004 0.004 0.000 0.000 0.992
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 4 0.4555 0.31304 0.000 0.472 0.000 0.520 0.008
#> AC376BBB-667B-4469-B567-9BE18DE0F811 5 0.0510 0.93807 0.016 0.000 0.000 0.000 0.984
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 4 0.5078 0.32797 0.000 0.020 0.464 0.508 0.008
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.90740 1.000 0.000 0.000 0.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.90740 1.000 0.000 0.000 0.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 4 0.4689 0.46776 0.000 0.008 0.392 0.592 0.008
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.0162 0.90410 0.996 0.000 0.004 0.000 0.000
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 4 0.4455 0.43512 0.000 0.404 0.000 0.588 0.008
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.94492 0.000 0.000 1.000 0.000 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 3 0.0290 0.94087 0.000 0.000 0.992 0.000 0.008
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.0000 0.94492 0.000 0.000 1.000 0.000 0.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 1 0.4182 0.54969 0.600 0.000 0.000 0.400 0.000
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.0290 0.89468 0.000 0.992 0.008 0.000 0.000
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 4 0.4083 0.59495 0.000 0.008 0.256 0.728 0.008
#> 479A968D-4692-404B-A866-B74E7DD17995 4 0.4689 0.46776 0.000 0.008 0.392 0.592 0.008
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 4 0.4101 0.47552 0.000 0.372 0.000 0.628 0.000
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.90740 1.000 0.000 0.000 0.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.90740 1.000 0.000 0.000 0.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 5 0.0290 0.94260 0.008 0.000 0.000 0.000 0.992
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0000 0.90740 1.000 0.000 0.000 0.000 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.0000 0.89640 0.000 1.000 0.000 0.000 0.000
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.0290 0.89297 0.000 0.992 0.000 0.000 0.008
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0000 0.90740 1.000 0.000 0.000 0.000 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.0162 0.89511 0.000 0.996 0.000 0.000 0.004
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.0000 0.90740 1.000 0.000 0.000 0.000 0.000
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 5 0.2329 0.84611 0.124 0.000 0.000 0.000 0.876
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.94492 0.000 0.000 1.000 0.000 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 5 0.0290 0.94260 0.008 0.000 0.000 0.000 0.992
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.9793 1.000 0.000 0.000 0.000 0.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.9120 0.000 0.000 1.000 0.000 0.000 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 5 0.0000 0.9535 0.000 0.000 0.000 0.000 1.000 0.000
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.0000 0.9793 1.000 0.000 0.000 0.000 0.000 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 5 0.0000 0.9535 0.000 0.000 0.000 0.000 1.000 0.000
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.0000 0.9793 1.000 0.000 0.000 0.000 0.000 0.000
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 4 0.0260 0.9664 0.000 0.008 0.000 0.992 0.000 0.000
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 6 0.3595 0.5856 0.000 0.008 0.000 0.288 0.000 0.704
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 5 0.0000 0.9535 0.000 0.000 0.000 0.000 1.000 0.000
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 4 0.0000 0.9679 0.000 0.000 0.000 1.000 0.000 0.000
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 5 0.2882 0.7543 0.180 0.000 0.000 0.008 0.812 0.000
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 3 0.2772 0.7511 0.000 0.180 0.816 0.000 0.000 0.004
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.9793 1.000 0.000 0.000 0.000 0.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 3 0.1075 0.8804 0.000 0.048 0.952 0.000 0.000 0.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 4 0.1285 0.9126 0.052 0.000 0.000 0.944 0.000 0.004
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.0000 0.9177 0.000 1.000 0.000 0.000 0.000 0.000
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0000 0.9793 1.000 0.000 0.000 0.000 0.000 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.9793 1.000 0.000 0.000 0.000 0.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 5 0.0000 0.9535 0.000 0.000 0.000 0.000 1.000 0.000
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0000 0.9793 1.000 0.000 0.000 0.000 0.000 0.000
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 5 0.3134 0.7788 0.000 0.000 0.000 0.036 0.820 0.144
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.0363 0.9148 0.000 0.988 0.012 0.000 0.000 0.000
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 4 0.0260 0.9664 0.000 0.008 0.000 0.992 0.000 0.000
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0000 0.9793 1.000 0.000 0.000 0.000 0.000 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 6 0.0000 0.9241 0.000 0.000 0.000 0.000 0.000 1.000
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 5 0.0000 0.9535 0.000 0.000 0.000 0.000 1.000 0.000
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.0260 0.9172 0.000 0.992 0.000 0.000 0.000 0.008
#> 375FE390-434B-41D3-9029-84065B1D7B6F 6 0.0146 0.9231 0.000 0.000 0.000 0.004 0.000 0.996
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 0.9793 1.000 0.000 0.000 0.000 0.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.0260 0.9166 0.000 0.992 0.008 0.000 0.000 0.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.0260 0.9172 0.000 0.992 0.000 0.000 0.000 0.008
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 6 0.0146 0.9240 0.000 0.004 0.000 0.000 0.000 0.996
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 6 0.0146 0.9240 0.000 0.004 0.000 0.000 0.000 0.996
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 5 0.1075 0.9092 0.048 0.000 0.000 0.000 0.952 0.000
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 3 0.3515 0.5378 0.000 0.324 0.676 0.000 0.000 0.000
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#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.0000 0.9177 0.000 1.000 0.000 0.000 0.000 0.000
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.0260 0.9726 0.992 0.000 0.008 0.000 0.000 0.000
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.0000 0.9177 0.000 1.000 0.000 0.000 0.000 0.000
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.9120 0.000 0.000 1.000 0.000 0.000 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 2 0.3869 -0.0879 0.000 0.500 0.500 0.000 0.000 0.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.0000 0.9120 0.000 0.000 1.000 0.000 0.000 0.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 4 0.0000 0.9679 0.000 0.000 0.000 1.000 0.000 0.000
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 6 0.0146 0.9240 0.000 0.004 0.000 0.000 0.000 0.996
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.0146 0.9168 0.000 0.996 0.004 0.000 0.000 0.000
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.0146 0.9177 0.000 0.996 0.004 0.000 0.000 0.000
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.4264 0.6396 0.000 0.720 0.000 0.084 0.000 0.196
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.9793 1.000 0.000 0.000 0.000 0.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.9793 1.000 0.000 0.000 0.000 0.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 5 0.0000 0.9535 0.000 0.000 0.000 0.000 1.000 0.000
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0000 0.9793 1.000 0.000 0.000 0.000 0.000 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 6 0.1141 0.8983 0.000 0.052 0.000 0.000 0.000 0.948
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.3175 0.6370 0.000 0.744 0.000 0.000 0.000 0.256
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0000 0.9793 1.000 0.000 0.000 0.000 0.000 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 6 0.2378 0.8152 0.000 0.152 0.000 0.000 0.000 0.848
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.0000 0.9793 1.000 0.000 0.000 0.000 0.000 0.000
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 5 0.1714 0.8646 0.092 0.000 0.000 0.000 0.908 0.000
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.9120 0.000 0.000 1.000 0.000 0.000 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 5 0.0000 0.9535 0.000 0.000 0.000 0.000 1.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["MAD", "pam"]
# you can also extract it by
# res = res_list["MAD:pam"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#> On a matrix with 17654 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'MAD' method.
#> Subgroups are detected by 'pam' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 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 0.910 0.941 0.975 0.4991 0.500 0.500
#> 3 3 0.907 0.903 0.952 0.1909 0.866 0.743
#> 4 4 0.810 0.862 0.924 0.1969 0.837 0.622
#> 5 5 0.822 0.856 0.926 0.1018 0.910 0.696
#> 6 6 0.819 0.779 0.888 0.0461 0.938 0.729
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 3
#> attr(,"optional")
#> [1] 2
There is also optional best \(k\) = 2 that is worth to check.
Following shows the table of the partitions (You need to click the show/hide
code output link to see it). The membership matrix (columns with name p*)
is inferred by
clue::cl_consensus()
function with the SE method. Basically the value in the membership matrix
represents the probability to belong to a certain group. The finall class
label for an item is determined with the group with highest probability it
belongs to.
In get_classes() function, the entropy is calculated from the membership
matrix and the silhouette score is calculated from the consensus matrix.
cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#> class entropy silhouette p1 p2
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.9599 1.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 2 0.0000 0.9862 0.000 1.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.0000 0.9599 1.000 0.000
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.0000 0.9599 1.000 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.0000 0.9599 1.000 0.000
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.0000 0.9599 1.000 0.000
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 1 0.3431 0.9074 0.936 0.064
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 2 0.0000 0.9862 0.000 1.000
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.0000 0.9599 1.000 0.000
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 1 0.0000 0.9599 1.000 0.000
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.0000 0.9599 1.000 0.000
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 2 0.0000 0.9862 0.000 1.000
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.9599 1.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 2 0.0000 0.9862 0.000 1.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 1 0.0000 0.9599 1.000 0.000
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.0000 0.9862 0.000 1.000
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0000 0.9599 1.000 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.9599 1.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 1 0.3114 0.9140 0.944 0.056
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0000 0.9599 1.000 0.000
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 1 0.7950 0.7055 0.760 0.240
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.0000 0.9862 0.000 1.000
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 1 0.5946 0.8263 0.856 0.144
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0000 0.9599 1.000 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 2 0.0000 0.9862 0.000 1.000
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 1 0.0000 0.9599 1.000 0.000
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.0000 0.9862 0.000 1.000
#> 375FE390-434B-41D3-9029-84065B1D7B6F 2 0.0000 0.9862 0.000 1.000
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 0.9599 1.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.0000 0.9862 0.000 1.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.0000 0.9862 0.000 1.000
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.0000 0.9862 0.000 1.000
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.0000 0.9862 0.000 1.000
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.0000 0.9599 1.000 0.000
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 2 0.0000 0.9862 0.000 1.000
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 2 0.0672 0.9786 0.008 0.992
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 1 0.0000 0.9599 1.000 0.000
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 2 0.0000 0.9862 0.000 1.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.0000 0.9599 1.000 0.000
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 2 0.0000 0.9862 0.000 1.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 1 0.7139 0.7638 0.804 0.196
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 2 0.0000 0.9862 0.000 1.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 2 0.0000 0.9862 0.000 1.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 1 0.0000 0.9599 1.000 0.000
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 1 0.0000 0.9599 1.000 0.000
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.0000 0.9599 1.000 0.000
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 2 0.0000 0.9862 0.000 1.000
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 1 0.5737 0.8333 0.864 0.136
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.0000 0.9599 1.000 0.000
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 2 0.0000 0.9862 0.000 1.000
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.0000 0.9862 0.000 1.000
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 1 0.0000 0.9599 1.000 0.000
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 2 0.0000 0.9862 0.000 1.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.0000 0.9599 1.000 0.000
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 2 0.0000 0.9862 0.000 1.000
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 2 0.0000 0.9862 0.000 1.000
#> 208165C0-229B-49E2-A22A-575CA3157C9E 2 0.0000 0.9862 0.000 1.000
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 1 0.0000 0.9599 1.000 0.000
#> 01397021-8495-4D89-885A-166B4DBA0122 2 0.0000 0.9862 0.000 1.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 2 0.0000 0.9862 0.000 1.000
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.0000 0.9599 1.000 0.000
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 2 0.0000 0.9862 0.000 1.000
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 2 0.0000 0.9862 0.000 1.000
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 2 0.0000 0.9862 0.000 1.000
#> AA569A06-0F37-4492-93F3-60A4539A3E82 2 0.0000 0.9862 0.000 1.000
#> BC53FB75-94CA-48C3-875B-5987037D186F 2 0.0000 0.9862 0.000 1.000
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 1 0.0000 0.9599 1.000 0.000
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 2 0.0000 0.9862 0.000 1.000
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 2 0.0000 0.9862 0.000 1.000
#> DF67F589-A607-4B95-96B8-4BB344132312 2 0.0000 0.9862 0.000 1.000
#> A65233E6-C146-4ACF-8DDE-5FB12D8D9637 2 0.0000 0.9862 0.000 1.000
#> 7578C9A3-FFF8-45C4-AC28-1C6141A9A2AD 1 0.0000 0.9599 1.000 0.000
#> 4DF775B9-E2FE-4F5E-8329-C37E21C5D10E 2 0.6623 0.7857 0.172 0.828
#> 5E6B86C6-3D79-47BB-9FAF-CA22659CFEA7 1 0.0000 0.9599 1.000 0.000
#> 53286128-668B-47EA-9A5F-D768FDCCBE88 1 0.0000 0.9599 1.000 0.000
#> 01C9F351-97FE-4037-A879-9D96A3DD3FBB 2 0.0000 0.9862 0.000 1.000
#> 5487DB21-6A58-46AC-A2A1-E343082D41D8 1 0.0000 0.9599 1.000 0.000
#> 0FB3E997-4E31-4FA6-9654-11C3C0AF8D86 2 0.0000 0.9862 0.000 1.000
#> A0706E80-FDF9-4721-BEB4-90527F6D38C4 2 0.0000 0.9862 0.000 1.000
#> 5260226E-1826-4F54-8237-28993DD2EF04 2 0.0000 0.9862 0.000 1.000
#> F53F71A7-A399-49AB-8657-019C5C56F48C 2 0.0000 0.9862 0.000 1.000
#> 008159F2-5247-479A-8BFE-C394888D0B74 2 0.6048 0.8169 0.148 0.852
#> 9E6BA6FB-35F2-4510-94AE-3E7CDFED3D47 2 0.0000 0.9862 0.000 1.000
#> F12BE7AC-D2DD-4AD1-AB37-32DC85954F59 1 0.5408 0.8484 0.876 0.124
#> 38A6BA1F-B444-4155-A168-EC2DF0EE0785 1 0.0000 0.9599 1.000 0.000
#> B107D1DE-EE52-4E89-B75A-91124BFF99AE 2 0.0000 0.9862 0.000 1.000
#> D4D16D09-8895-4BEA-ABF7-F11C5D5BDCAA 1 0.0000 0.9599 1.000 0.000
#> 9A53C473-1364-4BB6-AD36-EF53E0208450 1 0.0000 0.9599 1.000 0.000
#> F00C0ED6-C811-4F32-BDB4-4ACA7861DC7D 2 0.0000 0.9862 0.000 1.000
#> 72618985-CD49-4B6F-8CB0-5EE590FAD09A 2 0.0000 0.9862 0.000 1.000
#> 978A315F-CCE9-4D03-A680-C0AD60B10557 2 0.0000 0.9862 0.000 1.000
#> B6EACAED-3944-4510-B685-0BB8D1651D4F 1 0.0000 0.9599 1.000 0.000
#> EBCF16B4-A804-45EB-8253-0F28A2645729 2 0.6973 0.7623 0.188 0.812
#> 637DC441-4A75-4DA8-8F65-91FDB5F103C7 2 0.0672 0.9787 0.008 0.992
#> 89F67654-A246-4307-9B17-4A1C01DB1AED 2 0.0000 0.9862 0.000 1.000
#> 3A8EB57B-71ED-4169-A8EB-624C67CDBBE1 2 0.0000 0.9862 0.000 1.000
#> CC4DA9C6-CAB2-44FF-8219-D293ECD07DD4 1 0.9491 0.4410 0.632 0.368
#> AEC4FDAA-8F60-43CE-8EBB-5629FA662F16 2 0.0000 0.9862 0.000 1.000
#> BFC0D795-64F4-48B3-AD08-8C564E5E5367 1 0.0000 0.9599 1.000 0.000
#> 907BBBA4-4E7B-4808-892E-F80525C3CFA3 2 0.5842 0.8294 0.140 0.860
#> 7F21FA19-1468-4A65-A10A-A9727218A5EF 1 0.0000 0.9599 1.000 0.000
#> 905A026A-0B13-4AD3-B2BB-9A5AE76920AF 1 0.7139 0.7638 0.804 0.196
#> 6DDFC760-7BED-4A68-8DDA-9453D0FC9C1D 1 0.0000 0.9599 1.000 0.000
#> B3AFF323-BAAD-4512-A837-20C430EA39D1 1 0.0000 0.9599 1.000 0.000
#> 193E9034-42A2-4701-AA3E-2E852CA5C043 1 0.0000 0.9599 1.000 0.000
#> 8B6127D5-D3BB-4E17-914C-3ED1E2A52078 2 0.0000 0.9862 0.000 1.000
#> BD6E5E3C-DC43-4A85-84DF-84C68ABB851A 1 0.9815 0.3364 0.580 0.420
#> 881EACBD-B314-4A9E-A6DE-58DF9466AFB3 1 0.5629 0.8423 0.868 0.132
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#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.9599 1.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.0000 0.9599 1.000 0.000
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0000 0.9599 1.000 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.0000 0.9862 0.000 1.000
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.0000 0.9862 0.000 1.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0000 0.9599 1.000 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.0000 0.9862 0.000 1.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.0000 0.9599 1.000 0.000
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.0000 0.9599 1.000 0.000
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 2 0.0000 0.9862 0.000 1.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.0000 0.9599 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.94423 1.000 0.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.1643 0.98117 0.000 0.044 0.956
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.2229 0.93530 0.944 0.012 0.044
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.0000 0.94423 1.000 0.000 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.1643 0.94155 0.956 0.000 0.044
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.1529 0.94211 0.960 0.000 0.040
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 1 0.3644 0.81841 0.872 0.124 0.004
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 2 0.0237 0.94532 0.000 0.996 0.004
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.1643 0.94155 0.956 0.000 0.044
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 1 0.1643 0.94155 0.956 0.000 0.044
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.1643 0.94155 0.956 0.000 0.044
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 2 0.3752 0.79307 0.000 0.856 0.144
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.94423 1.000 0.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 2 0.1289 0.92139 0.000 0.968 0.032
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 1 0.0892 0.94421 0.980 0.000 0.020
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.0000 0.94759 0.000 1.000 0.000
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0000 0.94423 1.000 0.000 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.94423 1.000 0.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 1 0.2663 0.92635 0.932 0.024 0.044
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.1031 0.94398 0.976 0.000 0.024
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 1 0.6506 0.66425 0.720 0.236 0.044
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.0000 0.94759 0.000 1.000 0.000
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 1 0.6373 0.30966 0.588 0.408 0.004
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0000 0.94423 1.000 0.000 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 2 0.1643 0.91025 0.000 0.956 0.044
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 1 0.1643 0.94155 0.956 0.000 0.044
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.0000 0.94759 0.000 1.000 0.000
#> 375FE390-434B-41D3-9029-84065B1D7B6F 2 0.0000 0.94759 0.000 1.000 0.000
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 0.94423 1.000 0.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.0000 0.94759 0.000 1.000 0.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.0000 0.94759 0.000 1.000 0.000
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.0000 0.94759 0.000 1.000 0.000
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.0000 0.94759 0.000 1.000 0.000
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.1643 0.94155 0.956 0.000 0.044
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 2 0.0000 0.94759 0.000 1.000 0.000
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 2 0.0747 0.93588 0.000 0.984 0.016
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 1 0.1643 0.94155 0.956 0.000 0.044
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.1643 0.98117 0.000 0.044 0.956
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.1529 0.94211 0.960 0.000 0.040
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.1643 0.98117 0.000 0.044 0.956
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 2 0.5443 0.59402 0.260 0.736 0.004
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.1643 0.98117 0.000 0.044 0.956
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.1643 0.98117 0.000 0.044 0.956
#> 906CBD77-BD00-4199-B56C-E525C9509442 1 0.2527 0.92969 0.936 0.020 0.044
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 1 0.2550 0.92854 0.936 0.024 0.040
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.0000 0.94423 1.000 0.000 0.000
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 2 0.0000 0.94759 0.000 1.000 0.000
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 1 0.5743 0.74975 0.784 0.172 0.044
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.1529 0.94211 0.960 0.000 0.040
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 2 0.1643 0.91025 0.000 0.956 0.044
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.0000 0.94759 0.000 1.000 0.000
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 1 0.0000 0.94423 1.000 0.000 0.000
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.1643 0.98117 0.000 0.044 0.956
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.1529 0.94232 0.960 0.000 0.040
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 2 0.0000 0.94759 0.000 1.000 0.000
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 2 0.0000 0.94759 0.000 1.000 0.000
#> 208165C0-229B-49E2-A22A-575CA3157C9E 2 0.0237 0.94532 0.000 0.996 0.004
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 1 0.0237 0.94414 0.996 0.000 0.004
#> 01397021-8495-4D89-885A-166B4DBA0122 3 0.1643 0.98117 0.000 0.044 0.956
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 3 0.1643 0.98117 0.000 0.044 0.956
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.0000 0.94423 1.000 0.000 0.000
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 2 0.0000 0.94759 0.000 1.000 0.000
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 2 0.0000 0.94759 0.000 1.000 0.000
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 2 0.0747 0.93581 0.000 0.984 0.016
#> AA569A06-0F37-4492-93F3-60A4539A3E82 2 0.0000 0.94759 0.000 1.000 0.000
#> BC53FB75-94CA-48C3-875B-5987037D186F 2 0.0000 0.94759 0.000 1.000 0.000
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 1 0.0000 0.94423 1.000 0.000 0.000
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 2 0.0000 0.94759 0.000 1.000 0.000
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 2 0.0000 0.94759 0.000 1.000 0.000
#> DF67F589-A607-4B95-96B8-4BB344132312 2 0.0000 0.94759 0.000 1.000 0.000
#> A65233E6-C146-4ACF-8DDE-5FB12D8D9637 3 0.1643 0.98117 0.000 0.044 0.956
#> 7578C9A3-FFF8-45C4-AC28-1C6141A9A2AD 1 0.0000 0.94423 1.000 0.000 0.000
#> 4DF775B9-E2FE-4F5E-8329-C37E21C5D10E 2 0.5956 0.66782 0.188 0.768 0.044
#> 5E6B86C6-3D79-47BB-9FAF-CA22659CFEA7 1 0.1643 0.94155 0.956 0.000 0.044
#> 53286128-668B-47EA-9A5F-D768FDCCBE88 1 0.0000 0.94423 1.000 0.000 0.000
#> 01C9F351-97FE-4037-A879-9D96A3DD3FBB 2 0.0000 0.94759 0.000 1.000 0.000
#> 5487DB21-6A58-46AC-A2A1-E343082D41D8 1 0.1643 0.94155 0.956 0.000 0.044
#> 0FB3E997-4E31-4FA6-9654-11C3C0AF8D86 2 0.0000 0.94759 0.000 1.000 0.000
#> A0706E80-FDF9-4721-BEB4-90527F6D38C4 2 0.0000 0.94759 0.000 1.000 0.000
#> 5260226E-1826-4F54-8237-28993DD2EF04 3 0.1643 0.98117 0.000 0.044 0.956
#> F53F71A7-A399-49AB-8657-019C5C56F48C 2 0.0237 0.94532 0.000 0.996 0.004
#> 008159F2-5247-479A-8BFE-C394888D0B74 2 0.2066 0.88462 0.060 0.940 0.000
#> 9E6BA6FB-35F2-4510-94AE-3E7CDFED3D47 3 0.1643 0.98117 0.000 0.044 0.956
#> F12BE7AC-D2DD-4AD1-AB37-32DC85954F59 1 0.7039 0.54012 0.648 0.312 0.040
#> 38A6BA1F-B444-4155-A168-EC2DF0EE0785 1 0.1529 0.94232 0.960 0.000 0.040
#> B107D1DE-EE52-4E89-B75A-91124BFF99AE 3 0.1643 0.98117 0.000 0.044 0.956
#> D4D16D09-8895-4BEA-ABF7-F11C5D5BDCAA 1 0.1529 0.94211 0.960 0.000 0.040
#> 9A53C473-1364-4BB6-AD36-EF53E0208450 1 0.0000 0.94423 1.000 0.000 0.000
#> F00C0ED6-C811-4F32-BDB4-4ACA7861DC7D 2 0.0000 0.94759 0.000 1.000 0.000
#> 72618985-CD49-4B6F-8CB0-5EE590FAD09A 2 0.0000 0.94759 0.000 1.000 0.000
#> 978A315F-CCE9-4D03-A680-C0AD60B10557 2 0.0000 0.94759 0.000 1.000 0.000
#> B6EACAED-3944-4510-B685-0BB8D1651D4F 1 0.1643 0.94155 0.956 0.000 0.044
#> EBCF16B4-A804-45EB-8253-0F28A2645729 2 0.7284 0.42656 0.336 0.620 0.044
#> 637DC441-4A75-4DA8-8F65-91FDB5F103C7 2 0.5136 0.74975 0.132 0.824 0.044
#> 89F67654-A246-4307-9B17-4A1C01DB1AED 2 0.0000 0.94759 0.000 1.000 0.000
#> 3A8EB57B-71ED-4169-A8EB-624C67CDBBE1 2 0.0000 0.94759 0.000 1.000 0.000
#> CC4DA9C6-CAB2-44FF-8219-D293ECD07DD4 1 0.2527 0.92990 0.936 0.020 0.044
#> AEC4FDAA-8F60-43CE-8EBB-5629FA662F16 2 0.0000 0.94759 0.000 1.000 0.000
#> BFC0D795-64F4-48B3-AD08-8C564E5E5367 1 0.1643 0.94155 0.956 0.000 0.044
#> 907BBBA4-4E7B-4808-892E-F80525C3CFA3 2 0.4859 0.77425 0.116 0.840 0.044
#> 7F21FA19-1468-4A65-A10A-A9727218A5EF 1 0.0000 0.94423 1.000 0.000 0.000
#> 905A026A-0B13-4AD3-B2BB-9A5AE76920AF 2 0.0475 0.94283 0.004 0.992 0.004
#> 6DDFC760-7BED-4A68-8DDA-9453D0FC9C1D 1 0.0000 0.94423 1.000 0.000 0.000
#> B3AFF323-BAAD-4512-A837-20C430EA39D1 1 0.1643 0.94155 0.956 0.000 0.044
#> 193E9034-42A2-4701-AA3E-2E852CA5C043 1 0.0000 0.94423 1.000 0.000 0.000
#> 8B6127D5-D3BB-4E17-914C-3ED1E2A52078 2 0.0000 0.94759 0.000 1.000 0.000
#> BD6E5E3C-DC43-4A85-84DF-84C68ABB851A 2 0.5553 0.57459 0.272 0.724 0.004
#> 881EACBD-B314-4A9E-A6DE-58DF9466AFB3 1 0.6421 0.29472 0.572 0.424 0.004
#> 195A6DF6-437D-4964-8872-C44F13E2CA4C 2 0.0000 0.94759 0.000 1.000 0.000
#> C40FD0B3-4773-490D-A342-B1CE8CC0A5BD 1 0.0000 0.94423 1.000 0.000 0.000
#> 613454BF-1A66-4DBB-90D0-246FC212DA4A 2 0.7533 0.27064 0.392 0.564 0.044
#> 5F121320-0F61-4BC0-BB69-F5C9A93BC118 1 0.0000 0.94423 1.000 0.000 0.000
#> E5637874-962B-4C43-8339-A6625D754DA8 1 0.4575 0.74010 0.812 0.184 0.004
#> 7614BF19-E3A2-492A-ABC0-557B274CA326 1 0.0000 0.94423 1.000 0.000 0.000
#> 6EB070B1-45C3-46DB-BFF9-6D9A137EC3A8 1 0.7284 0.49261 0.620 0.336 0.044
#> 873EEA1A-8AA1-4C83-B001-7BD64343ADE1 1 0.0000 0.94423 1.000 0.000 0.000
#> 2DCF0812-AC29-4BC2-8929-4D3D7B0F6335 2 0.0000 0.94759 0.000 1.000 0.000
#> 9391B623-4EC1-43A2-85EC-7B80BE87827D 1 0.1643 0.94155 0.956 0.000 0.044
#> 32A000F1-BAEA-41D2-AC75-02255A5BF2F2 2 0.0000 0.94759 0.000 1.000 0.000
#> 9C1016CE-3EAB-4FA7-806B-C8F6B08B4EA1 1 0.0237 0.94414 0.996 0.000 0.004
#> C7C4E75E-887F-4D11-9FDC-32292895A6B3 2 0.1643 0.91025 0.000 0.956 0.044
#> 54739A62-512F-499F-AFE1-B7C631B35272 1 0.0000 0.94423 1.000 0.000 0.000
#> 4476DF0E-6BB4-4682-BF59-E61071D4184E 1 0.1643 0.94155 0.956 0.000 0.044
#> DCCC6566-8A72-411D-B8F0-CC92B6D973AF 2 0.0000 0.94759 0.000 1.000 0.000
#> 781AEC2C-2604-4DAA-A55C-D07A305AF32E 2 0.1643 0.91025 0.000 0.956 0.044
#> CB6BBA89-F467-4E0E-9DD1-04631E23D18C 2 0.7406 0.36099 0.360 0.596 0.044
#> 42E0E49F-0F6A-4787-87E8-E5CEA94822F9 2 0.0000 0.94759 0.000 1.000 0.000
#> B6466D8A-6CD3-4C90-B1FC-72EBDD93AE47 1 0.0000 0.94423 1.000 0.000 0.000
#> EEBC342F-80C7-428B-A69C-35962A8A0251 2 0.0000 0.94759 0.000 1.000 0.000
#> 38CB2DA4-D03B-4AAD-820E-B3475C52A945 2 0.0237 0.94532 0.000 0.996 0.004
#> E924E4B6-F88B-4F6B-B381-24D125C05D4F 3 0.1643 0.98117 0.000 0.044 0.956
#> C207F0D6-55B8-4353-8A7D-F1BA623BED96 1 0.4479 0.84778 0.860 0.096 0.044
#> 980CBBAE-2C02-4150-8BDB-B67713B6425C 3 0.1643 0.98117 0.000 0.044 0.956
#> 2E2A42A8-50A7-4409-8504-949A2B8A46A6 1 0.1529 0.94211 0.960 0.000 0.040
#> 65B6391B-3178-4AB3-9AA8-2FFAC5491988 3 0.6154 0.37840 0.000 0.408 0.592
#> 78EEB2C7-4B64-4CB0-9C94-E2AC46A75237 1 0.2414 0.93175 0.940 0.020 0.040
#> 4F05A349-3B06-425C-A8CC-63C1B23A3D65 1 0.0000 0.94423 1.000 0.000 0.000
#> 1CE1B4DB-1F7B-4F30-BAA1-E0252199F05B 2 0.5560 0.52756 0.000 0.700 0.300
#> 05FAAE20-A94E-41FA-B6B6-7DDCFB4F9657 1 0.0000 0.94423 1.000 0.000 0.000
#> 8C635DC8-6BED-46F6-893F-2AFB6CB3481A 1 0.1643 0.94155 0.956 0.000 0.044
#> 48410523-5F22-4531-97FA-7C796AD58989 1 0.0000 0.94423 1.000 0.000 0.000
#> B68D29BD-EDC7-4375-99F7-C5DAF72F3BA6 1 0.0000 0.94423 1.000 0.000 0.000
#> 417DC694-EA89-4AE0-94AC-88CA7E4BAA0B 1 0.0000 0.94423 1.000 0.000 0.000
#> 64CC8829-8B70-4B43-A364-4905139379E4 1 0.1031 0.94411 0.976 0.000 0.024
#> 9E7B3CD8-5195-4757-AC99-F96FDD02B6EC 1 0.3481 0.90057 0.904 0.052 0.044
#> 91E396AE-9215-405D-95DA-4F20D02CEB92 2 0.1529 0.91417 0.000 0.960 0.040
#> 94CD6202-9C20-48FF-952F-C085A9829FF1 1 0.0000 0.94423 1.000 0.000 0.000
#> E13AD861-BBD9-4189-8BB6-4B798BDFAA64 1 0.1643 0.94155 0.956 0.000 0.044
#> 6591AC48-9A57-4F9A-B25E-69E9257F4801 1 0.0000 0.94423 1.000 0.000 0.000
#> 1F0575EF-CFFA-4282-A054-88FDABBEB0CE 2 0.7112 0.47565 0.308 0.648 0.044
#> A2C99D8F-03AD-4E02-8FD2-50E8A8D64FA7 3 0.5733 0.58338 0.000 0.324 0.676
#> DD2C6204-0402-42E6-9DCF-C596B254684D 2 0.6189 0.42268 0.364 0.632 0.004
#> D54A1ABF-0E47-4D52-8CD6-25FF40735C48 1 0.1643 0.94155 0.956 0.000 0.044
#> 6E7F1C5E-83BE-4260-A4EB-2E8FB7B5AEDF 2 0.0237 0.94532 0.000 0.996 0.004
#> F931C145-86BF-4286-8017-A90943ABA1B6 2 0.0000 0.94759 0.000 1.000 0.000
#> B3B59642-F73C-41CA-AB45-918E98DE20E1 1 0.0000 0.94423 1.000 0.000 0.000
#> 4654D683-9F0B-4EE2-BF85-5E90CE0ABBCB 2 0.0000 0.94759 0.000 1.000 0.000
#> 7AC86566-1E68-40F1-AA42-A6E67736D8DF 1 0.1289 0.94353 0.968 0.000 0.032
#> DBC70DA9-6D10-4AA4-9D6B-967A934C879F 2 0.0000 0.94759 0.000 1.000 0.000
#> F50854E2-2F5D-4474-BB7D-842679B3DA09 1 0.0000 0.94423 1.000 0.000 0.000
#> C8388730-6449-4283-8B7C-8FB64740C777 3 0.1964 0.97000 0.000 0.056 0.944
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#> 371959B1-8D14-4FD1-A854-3DFB92D097FA 2 0.0000 0.94759 0.000 1.000 0.000
#> CD5AE438-D578-472E-B7B2-1DBD52D43233 2 0.0000 0.94759 0.000 1.000 0.000
#> 8DABCB90-2352-452A-8A71-4A359F50863B 1 0.1643 0.94155 0.956 0.000 0.044
#> 0A562D9C-52B2-4CE1-8173-4874835682E5 2 0.0000 0.94759 0.000 1.000 0.000
#> E3746081-2D1B-470B-A308-4B2E3A139C21 1 0.1643 0.94155 0.956 0.000 0.044
#> A7154064-ADD6-4D31-9622-8051F9A94BD2 2 0.6282 0.35303 0.384 0.612 0.004
#> D125BE69-EA3E-4E26-83B3-966C9B4E2E1D 1 0.0000 0.94423 1.000 0.000 0.000
#> D4A7D4B9-2E9D-4ED5-886F-664A212C9BE1 2 0.0000 0.94759 0.000 1.000 0.000
#> 1EFC6C80-2CBC-4F7F-9D95-D3259F22AED3 2 0.2066 0.89836 0.000 0.940 0.060
#> 9A0F8AF1-6845-474B-9897-F884E44DF78B 1 0.0000 0.94423 1.000 0.000 0.000
#> 5FFEF93E-3421-44BC-95BE-CA07D2343CD9 1 0.0000 0.94423 1.000 0.000 0.000
#> 706CD6CB-20D1-4B61-91CE-96468AFAB948 1 0.1643 0.94155 0.956 0.000 0.044
#> E75D87AF-DC22-4A00-8DAC-EDE1D242B3E5 2 0.1643 0.91025 0.000 0.956 0.044
#> B6428D53-EA3B-41A1-9092-3B47BF9F6089 1 0.2663 0.92635 0.932 0.024 0.044
#> 726D44D6-0732-44EA-B911-A5A1F0A758CF 1 0.1643 0.94155 0.956 0.000 0.044
#> E9FDE3D9-2845-4737-8957-BF36D7B39464 1 0.0000 0.94423 1.000 0.000 0.000
#> A70A345C-7683-4176-869B-8EDEFD966C1B 1 0.0000 0.94423 1.000 0.000 0.000
#> AB1C8455-7C2F-4154-95EF-B23EB5FD405A 2 0.6299 0.00589 0.000 0.524 0.476
#> 052F9CFB-8816-4A1D-B3C2-6A50168F7299 1 0.0000 0.94423 1.000 0.000 0.000
#> A821C6AB-91E5-4A72-8F3F-5D628FA351F0 3 0.1643 0.98117 0.000 0.044 0.956
#> 1D7F357E-0075-4AFA-BFCB-0297B90800F1 2 0.0000 0.94759 0.000 1.000 0.000
#> 5984264D-BD86-4D2F-8718-7DCAE974F50B 1 0.0237 0.94414 0.996 0.000 0.004
#> F24CC083-662D-457C-9BEC-3B68D63236AE 2 0.0000 0.94759 0.000 1.000 0.000
#> 48350BD7-9F6E-4DB5-B34A-F47B0BA74EF6 2 0.0000 0.94759 0.000 1.000 0.000
#> 94523D56-65BB-4860-9B7F-5859F5C82C05 3 0.1643 0.98117 0.000 0.044 0.956
#> CED33410-C7DE-43CC-941A-7652B200E5BB 2 0.0000 0.94759 0.000 1.000 0.000
#> 7E122E61-7895-4322-97BE-ABC29D7B7EA9 3 0.1643 0.98117 0.000 0.044 0.956
#> 60506411-6B29-49B4-9183-F54EE8B02CC4 1 0.1643 0.94155 0.956 0.000 0.044
#> ED52DF66-827A-4A8C-8E50-03C85FA04508 1 0.1643 0.94155 0.956 0.000 0.044
#> AB3B48ED-CFF9-4D66-BF3A-E9267D57BA14 2 0.0000 0.94759 0.000 1.000 0.000
#> 248A7931-1EB5-47E3-A966-E6AF62E21FC1 3 0.1643 0.98117 0.000 0.044 0.956
#> CB846F43-7719-4B7E-946B-32E6384F3CC4 2 0.7214 0.44376 0.324 0.632 0.044
#> 940E691A-04A2-410F-B1FB-A66A3BFE10E7 3 0.1643 0.98117 0.000 0.044 0.956
#> C3842EA2-E3BC-48DE-9B59-92145AC2F716 3 0.1643 0.98117 0.000 0.044 0.956
#> 497FB1B2-A998-44F3-8D69-6974314F941D 1 0.6686 0.40699 0.612 0.372 0.016
#> 4BAA88D6-4A88-4D54-9B0E-83365CC85C39 1 0.2663 0.92635 0.932 0.024 0.044
#> 7480A3B3-3BF8-4123-8E2E-8C2B52688EC6 2 0.0000 0.94759 0.000 1.000 0.000
#> AE3211D1-65C0-46B1-A67F-741C21A7D1C4 2 0.0000 0.94759 0.000 1.000 0.000
#> D7244456-CB99-4893-85FE-65082CC4F17C 2 0.0000 0.94759 0.000 1.000 0.000
#> C4E0F193-49DC-4A49-84BB-337AAF277145 1 0.1529 0.94211 0.960 0.000 0.040
#> E2DF7E97-6BE1-412C-B71D-151B87739653 2 0.1643 0.91025 0.000 0.956 0.044
#> 022BCEE2-4794-4D5D-87E5-22CD25FDBA98 2 0.0000 0.94759 0.000 1.000 0.000
#> 2AF33CEA-C327-4A31-84D8-C4F26E8A3ECF 1 0.0237 0.94414 0.996 0.000 0.004
#> E877B9C0-11C5-4CC8-BAE1-AC210535F3DB 1 0.5222 0.78998 0.816 0.144 0.040
#> 0E737E9F-1045-4B86-A290-ED927D5DE7BF 2 0.0000 0.94759 0.000 1.000 0.000
#> D1B88E26-3B64-4E1A-8E50-22AD100BD9F9 2 0.0000 0.94759 0.000 1.000 0.000
#> 3AEB8943-FE34-4014-B851-BBF83857A794 2 0.0237 0.94532 0.000 0.996 0.004
#> BECD727E-E3C1-4C42-9047-D97B7444B20B 2 0.0000 0.94759 0.000 1.000 0.000
#> AF866E63-9EA1-4669-B9C4-FC7E877334AE 2 0.0000 0.94759 0.000 1.000 0.000
#> F9C8E54A-4CE4-4839-B0CA-58678461EEF1 2 0.0000 0.94759 0.000 1.000 0.000
#> AE818BC4-05BF-4E85-A4AD-F3E43DD7D37A 2 0.0000 0.94759 0.000 1.000 0.000
#> BA73A860-CADE-408D-8D27-14EADA2B53B0 1 0.0000 0.94423 1.000 0.000 0.000
#> 688858C8-48CA-43E9-AE2C-B9D4F80B5EE9 2 0.0000 0.94759 0.000 1.000 0.000
#> EB1D52B2-17B3-491E-B484-1235633D6925 2 0.1163 0.92543 0.000 0.972 0.028
#> AE261B5D-3881-40B9-8EE7-26B950E0BE16 1 0.1163 0.94371 0.972 0.000 0.028
#> 8C9851D5-3091-4DE0-A59E-9122C0CA1CD2 2 0.0000 0.94759 0.000 1.000 0.000
#> C8180F95-4E9C-45DB-B959-B47F64167C2D 1 0.6189 0.43215 0.632 0.364 0.004
#> 552D3B42-8D22-4B64-B3A2-B3E5D51A8524 2 0.0000 0.94759 0.000 1.000 0.000
#> FED9F364-BC3F-4134-BF4B-4D24B0EB8315 1 0.1643 0.94155 0.956 0.000 0.044
#> 7B0D7792-C803-4DD0-B9BF-CB83DA2D199A 1 0.0000 0.94423 1.000 0.000 0.000
#> B4F82CBB-A47C-44C3-81AC-CF775FF06FCD 1 0.0237 0.94450 0.996 0.000 0.004
#> BFAB10CF-5B24-40F7-92E7-C2E60DD779EF 1 0.1643 0.94155 0.956 0.000 0.044
#> E4E259E1-48B2-4C76-B113-E46270742F53 2 0.0000 0.94759 0.000 1.000 0.000
#> 81FCBC31-367A-4B1C-A832-B133E4A43738 1 0.3267 0.90895 0.912 0.044 0.044
#> 8690FA0F-9C1C-4D97-813A-3FB56827FBFC 2 0.0000 0.94759 0.000 1.000 0.000
#> 9810CF0C-99D1-445B-B1F9-C956D2438495 3 0.1753 0.97755 0.000 0.048 0.952
#> 2F5073E1-9EDD-46B5-95E3-8314E2A5B620 1 0.2793 0.92321 0.928 0.028 0.044
#> B454F9FB-439A-43B5-877D-752D0F138AB5 2 0.0000 0.94759 0.000 1.000 0.000
#> 287F2B71-92F8-4D14-8249-C1BFBB254BE7 1 0.0000 0.94423 1.000 0.000 0.000
#> 52DC920F-0AD5-47CE-BD81-31843876B71E 1 0.0000 0.94423 1.000 0.000 0.000
#> 6BAC4B1B-C3FC-4A09-9821-232E510E6A47 1 0.1643 0.94155 0.956 0.000 0.044
#> A2B87EED-0D8E-4B20-85D3-FD9CC5E2E806 1 0.0000 0.94423 1.000 0.000 0.000
#> 43E6DB93-2DA6-4F0F-BF81-0C3869134D2B 1 0.0000 0.94423 1.000 0.000 0.000
#> 09A2ED74-A7C7-4DBB-8EDD-C80D0F0AEFDF 1 0.1529 0.94211 0.960 0.000 0.040
#> 35EDCB52-D4B5-4305-8A74-95EFE6F2BFB1 1 0.6106 0.70477 0.756 0.200 0.044
#> D5D18AF8-9CC2-496C-A83A-31BBA0195CFD 1 0.1643 0.94155 0.956 0.000 0.044
#> 03767EDF-2F8A-41DE-8D80-F4BE861225A3 2 0.6154 0.64153 0.204 0.752 0.044
#> 586BC656-AD9C-44EF-9ED4-87DEEB5C8AA6 1 0.0000 0.94423 1.000 0.000 0.000
#> 23CA1146-CB1B-4054-A4FF-200B87444BF9 1 0.0000 0.94423 1.000 0.000 0.000
#> 910E9B6D-E7D5-4C83-A19C-1EEA6E135639 1 0.3856 0.88007 0.888 0.072 0.040
#> F36353A3-6CE6-4347-A78B-0AAD8FAB14AD 1 0.0000 0.94423 1.000 0.000 0.000
#> 2045736E-7D0F-4B17-B74B-3B12AEE3E68C 1 0.0000 0.94423 1.000 0.000 0.000
#> 5EFA2C2D-30B3-4D66-9601-354711F9FC56 3 0.1643 0.98117 0.000 0.044 0.956
#> 3FBD381D-84C8-4680-980B-CC4B7924BE06 2 0.0000 0.94759 0.000 1.000 0.000
#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 1 0.6057 0.72321 0.760 0.196 0.044
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 1 0.1643 0.94155 0.956 0.000 0.044
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 2 0.0000 0.94759 0.000 1.000 0.000
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 2 0.0000 0.94759 0.000 1.000 0.000
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 1 0.1643 0.94155 0.956 0.000 0.044
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 2 0.0000 0.94759 0.000 1.000 0.000
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 1 0.6299 0.10985 0.524 0.476 0.000
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 1 0.1643 0.94155 0.956 0.000 0.044
#> A3343F40-F977-4F9B-856A-28781F10F4CD 2 0.0000 0.94759 0.000 1.000 0.000
#> DA144299-5541-47D7-A59E-C92896DF08FC 1 0.1643 0.94155 0.956 0.000 0.044
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 2 0.0000 0.94759 0.000 1.000 0.000
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.0000 0.94423 1.000 0.000 0.000
#> 617447CF-9327-4062-B22C-71A8944C948F 2 0.0000 0.94759 0.000 1.000 0.000
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0000 0.94423 1.000 0.000 0.000
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 2 0.0000 0.94759 0.000 1.000 0.000
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.0237 0.94447 0.996 0.000 0.004
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.0000 0.94759 0.000 1.000 0.000
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.1529 0.94211 0.960 0.000 0.040
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 3 0.1643 0.98117 0.000 0.044 0.956
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 2 0.0000 0.94759 0.000 1.000 0.000
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 3 0.2356 0.95405 0.000 0.072 0.928
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.0592 0.94448 0.988 0.000 0.012
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 2 0.7661 0.05022 0.452 0.504 0.044
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.0000 0.94759 0.000 1.000 0.000
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 1 0.1643 0.94155 0.956 0.000 0.044
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.0000 0.94423 1.000 0.000 0.000
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 2 0.3686 0.80147 0.000 0.860 0.140
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 2 0.6126 0.27649 0.000 0.600 0.400
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 1 0.1643 0.94155 0.956 0.000 0.044
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 2 0.1643 0.91025 0.000 0.956 0.044
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.0000 0.94423 1.000 0.000 0.000
#> DA1301D3-1F84-46C5-AB44-079493A81A51 1 0.1878 0.93992 0.952 0.004 0.044
#> A12B1681-B598-40C3-80FE-1801F3F1189D 1 0.1643 0.94155 0.956 0.000 0.044
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 2 0.0237 0.94532 0.000 0.996 0.004
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 1 0.0237 0.94414 0.996 0.000 0.004
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.0000 0.94759 0.000 1.000 0.000
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.0000 0.94759 0.000 1.000 0.000
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 1 0.1643 0.94155 0.956 0.000 0.044
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.0000 0.94759 0.000 1.000 0.000
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.0000 0.94759 0.000 1.000 0.000
#> 1D0379B1-0E99-4E6D-B890-907C92860654 2 0.0237 0.94532 0.000 0.996 0.004
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.0000 0.94759 0.000 1.000 0.000
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 2 0.0237 0.94532 0.000 0.996 0.004
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 2 0.0000 0.94759 0.000 1.000 0.000
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0000 0.94423 1.000 0.000 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.0000 0.94759 0.000 1.000 0.000
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.1529 0.94211 0.960 0.000 0.040
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.0000 0.94759 0.000 1.000 0.000
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0000 0.94423 1.000 0.000 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.0000 0.94759 0.000 1.000 0.000
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 2 0.7138 0.46619 0.312 0.644 0.044
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.0000 0.94759 0.000 1.000 0.000
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.1643 0.94155 0.956 0.000 0.044
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.0000 0.94759 0.000 1.000 0.000
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.94423 1.000 0.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.94423 1.000 0.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.0000 0.94759 0.000 1.000 0.000
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.1878 0.94029 0.952 0.004 0.044
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.0000 0.94759 0.000 1.000 0.000
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.1643 0.98117 0.000 0.044 0.956
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 2 0.0000 0.94759 0.000 1.000 0.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.1643 0.98117 0.000 0.044 0.956
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 1 0.0237 0.94414 0.996 0.000 0.004
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.0000 0.94759 0.000 1.000 0.000
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.0237 0.94494 0.000 0.996 0.004
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.0000 0.94759 0.000 1.000 0.000
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.0000 0.94759 0.000 1.000 0.000
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.94423 1.000 0.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.94423 1.000 0.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.1529 0.94211 0.960 0.000 0.040
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0237 0.94432 0.996 0.000 0.004
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.0000 0.94759 0.000 1.000 0.000
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.0000 0.94759 0.000 1.000 0.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0237 0.94414 0.996 0.000 0.004
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.0000 0.94759 0.000 1.000 0.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.1643 0.94155 0.956 0.000 0.044
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.1529 0.94211 0.960 0.000 0.040
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.1643 0.98117 0.000 0.044 0.956
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.1643 0.94155 0.956 0.000 0.044
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.9050 1.000 0.000 0.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.9642 0.000 0.000 1.000 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 4 0.1022 0.8553 0.032 0.000 0.000 0.968
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.0707 0.8984 0.980 0.000 0.000 0.020
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 4 0.3764 0.8057 0.216 0.000 0.000 0.784
#> 1B76089D-785F-4353-A898-4E632023D482 4 0.3444 0.8262 0.184 0.000 0.000 0.816
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 1 0.4158 0.7270 0.768 0.008 0.000 0.224
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cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.9143 1.000 0.000 0.000 0.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.9688 0.000 0.000 1.000 0.000 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 5 0.0000 0.8819 0.000 0.000 0.000 0.000 1.000
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.1043 0.8968 0.960 0.000 0.000 0.000 0.040
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 5 0.2424 0.8650 0.132 0.000 0.000 0.000 0.868
#> 1B76089D-785F-4353-A898-4E632023D482 5 0.2690 0.8551 0.156 0.000 0.000 0.000 0.844
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 4 0.1478 0.8849 0.000 0.000 0.000 0.936 0.064
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 2 0.3966 0.7848 0.000 0.796 0.000 0.072 0.132
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 5 0.2280 0.8689 0.120 0.000 0.000 0.000 0.880
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 5 0.1195 0.8823 0.028 0.000 0.000 0.012 0.960
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 5 0.0794 0.8843 0.028 0.000 0.000 0.000 0.972
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 2 0.2513 0.8345 0.000 0.876 0.116 0.000 0.008
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.9143 1.000 0.000 0.000 0.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 2 0.0609 0.9227 0.000 0.980 0.020 0.000 0.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 1 0.4573 0.6331 0.700 0.000 0.000 0.044 0.256
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 4 0.0404 0.9240 0.000 0.012 0.000 0.988 0.000
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0794 0.9009 0.972 0.000 0.000 0.000 0.028
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.9143 1.000 0.000 0.000 0.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 5 0.0000 0.8819 0.000 0.000 0.000 0.000 1.000
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.2648 0.7778 0.848 0.000 0.000 0.000 0.152
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 5 0.2127 0.8075 0.000 0.000 0.000 0.108 0.892
#> 83453F80-8A68-4A3C-995D-85CFB1011249 4 0.3074 0.7853 0.000 0.196 0.000 0.804 0.000
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 4 0.0000 0.9204 0.000 0.000 0.000 1.000 0.000
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0609 0.9056 0.980 0.000 0.000 0.000 0.020
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 5 0.1410 0.8585 0.000 0.060 0.000 0.000 0.940
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 5 0.1410 0.8854 0.060 0.000 0.000 0.000 0.940
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.0000 0.9327 0.000 1.000 0.000 0.000 0.000
#> 375FE390-434B-41D3-9029-84065B1D7B6F 2 0.0898 0.9207 0.000 0.972 0.000 0.008 0.020
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 0.9143 1.000 0.000 0.000 0.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.0000 0.9327 0.000 1.000 0.000 0.000 0.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.0000 0.9327 0.000 1.000 0.000 0.000 0.000
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.0000 0.9327 0.000 1.000 0.000 0.000 0.000
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.0000 0.9327 0.000 1.000 0.000 0.000 0.000
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.3966 0.4932 0.664 0.000 0.000 0.000 0.336
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 2 0.4088 0.4010 0.000 0.632 0.000 0.368 0.000
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 2 0.2929 0.8223 0.000 0.840 0.000 0.152 0.008
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 5 0.2329 0.8672 0.124 0.000 0.000 0.000 0.876
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0000 0.9688 0.000 0.000 1.000 0.000 0.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 5 0.2773 0.8490 0.164 0.000 0.000 0.000 0.836
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.0000 0.9688 0.000 0.000 1.000 0.000 0.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 4 0.0000 0.9204 0.000 0.000 0.000 1.000 0.000
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.0000 0.9688 0.000 0.000 1.000 0.000 0.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.0000 0.9688 0.000 0.000 1.000 0.000 0.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 1 0.4278 0.3277 0.548 0.000 0.000 0.000 0.452
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 5 0.5188 0.3845 0.328 0.000 0.000 0.060 0.612
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.0000 0.9143 1.000 0.000 0.000 0.000 0.000
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 4 0.0510 0.9234 0.000 0.016 0.000 0.984 0.000
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 5 0.0000 0.8819 0.000 0.000 0.000 0.000 1.000
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.4305 -0.1077 0.512 0.000 0.000 0.000 0.488
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 4 0.6215 0.3211 0.000 0.336 0.000 0.508 0.156
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 4 0.4210 0.3256 0.000 0.412 0.000 0.588 0.000
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 1 0.2983 0.8219 0.864 0.000 0.000 0.040 0.096
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.0000 0.9688 0.000 0.000 1.000 0.000 0.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.3661 0.5856 0.724 0.000 0.000 0.000 0.276
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 2 0.0000 0.9327 0.000 1.000 0.000 0.000 0.000
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 4 0.0404 0.9240 0.000 0.012 0.000 0.988 0.000
#> 208165C0-229B-49E2-A22A-575CA3157C9E 4 0.4717 0.7612 0.000 0.144 0.000 0.736 0.120
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 1 0.0963 0.9002 0.964 0.000 0.000 0.000 0.036
#> 01397021-8495-4D89-885A-166B4DBA0122 3 0.0000 0.9688 0.000 0.000 1.000 0.000 0.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 3 0.0000 0.9688 0.000 0.000 1.000 0.000 0.000
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.0000 0.9143 1.000 0.000 0.000 0.000 0.000
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 4 0.0162 0.9217 0.000 0.004 0.000 0.996 0.000
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 2 0.0162 0.9312 0.000 0.996 0.000 0.004 0.000
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 2 0.2535 0.8740 0.000 0.892 0.032 0.076 0.000
#> AA569A06-0F37-4492-93F3-60A4539A3E82 2 0.0703 0.9224 0.000 0.976 0.000 0.024 0.000
#> BC53FB75-94CA-48C3-875B-5987037D186F 2 0.0000 0.9327 0.000 1.000 0.000 0.000 0.000
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 1 0.0703 0.9044 0.976 0.000 0.000 0.000 0.024
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 2 0.0000 0.9327 0.000 1.000 0.000 0.000 0.000
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 2 0.1121 0.9080 0.000 0.956 0.000 0.044 0.000
#> DF67F589-A607-4B95-96B8-4BB344132312 4 0.3395 0.7036 0.000 0.236 0.000 0.764 0.000
#> A65233E6-C146-4ACF-8DDE-5FB12D8D9637 3 0.0000 0.9688 0.000 0.000 1.000 0.000 0.000
#> 7578C9A3-FFF8-45C4-AC28-1C6141A9A2AD 1 0.0000 0.9143 1.000 0.000 0.000 0.000 0.000
#> 4DF775B9-E2FE-4F5E-8329-C37E21C5D10E 5 0.0510 0.8839 0.016 0.000 0.000 0.000 0.984
#> 5E6B86C6-3D79-47BB-9FAF-CA22659CFEA7 5 0.2690 0.8552 0.156 0.000 0.000 0.000 0.844
#> 53286128-668B-47EA-9A5F-D768FDCCBE88 1 0.2471 0.8114 0.864 0.000 0.000 0.000 0.136
#> 01C9F351-97FE-4037-A879-9D96A3DD3FBB 2 0.0000 0.9327 0.000 1.000 0.000 0.000 0.000
#> 5487DB21-6A58-46AC-A2A1-E343082D41D8 5 0.2690 0.8548 0.156 0.000 0.000 0.000 0.844
#> 0FB3E997-4E31-4FA6-9654-11C3C0AF8D86 2 0.0000 0.9327 0.000 1.000 0.000 0.000 0.000
#> A0706E80-FDF9-4721-BEB4-90527F6D38C4 2 0.2179 0.8662 0.000 0.888 0.000 0.112 0.000
#> 5260226E-1826-4F54-8237-28993DD2EF04 3 0.0000 0.9688 0.000 0.000 1.000 0.000 0.000
#> F53F71A7-A399-49AB-8657-019C5C56F48C 2 0.0609 0.9227 0.000 0.980 0.000 0.000 0.020
#> 008159F2-5247-479A-8BFE-C394888D0B74 4 0.0000 0.9204 0.000 0.000 0.000 1.000 0.000
#> 9E6BA6FB-35F2-4510-94AE-3E7CDFED3D47 3 0.0000 0.9688 0.000 0.000 1.000 0.000 0.000
#> F12BE7AC-D2DD-4AD1-AB37-32DC85954F59 1 0.6908 0.4736 0.548 0.044 0.000 0.232 0.176
#> 38A6BA1F-B444-4155-A168-EC2DF0EE0785 5 0.4060 0.5553 0.360 0.000 0.000 0.000 0.640
#> B107D1DE-EE52-4E89-B75A-91124BFF99AE 3 0.0000 0.9688 0.000 0.000 1.000 0.000 0.000
#> D4D16D09-8895-4BEA-ABF7-F11C5D5BDCAA 5 0.2424 0.8641 0.132 0.000 0.000 0.000 0.868
#> 9A53C473-1364-4BB6-AD36-EF53E0208450 1 0.0162 0.9130 0.996 0.000 0.000 0.000 0.004
#> F00C0ED6-C811-4F32-BDB4-4ACA7861DC7D 2 0.4287 0.1329 0.000 0.540 0.000 0.460 0.000
#> 72618985-CD49-4B6F-8CB0-5EE590FAD09A 2 0.0000 0.9327 0.000 1.000 0.000 0.000 0.000
#> 978A315F-CCE9-4D03-A680-C0AD60B10557 2 0.2732 0.8167 0.000 0.840 0.000 0.160 0.000
#> B6EACAED-3944-4510-B685-0BB8D1651D4F 5 0.0000 0.8819 0.000 0.000 0.000 0.000 1.000
#> EBCF16B4-A804-45EB-8253-0F28A2645729 5 0.0162 0.8828 0.004 0.000 0.000 0.000 0.996
#> 637DC441-4A75-4DA8-8F65-91FDB5F103C7 5 0.0290 0.8802 0.000 0.008 0.000 0.000 0.992
#> 89F67654-A246-4307-9B17-4A1C01DB1AED 4 0.0510 0.9234 0.000 0.016 0.000 0.984 0.000
#> 3A8EB57B-71ED-4169-A8EB-624C67CDBBE1 2 0.0000 0.9327 0.000 1.000 0.000 0.000 0.000
#> CC4DA9C6-CAB2-44FF-8219-D293ECD07DD4 5 0.0290 0.8846 0.008 0.000 0.000 0.000 0.992
#> AEC4FDAA-8F60-43CE-8EBB-5629FA662F16 2 0.0000 0.9327 0.000 1.000 0.000 0.000 0.000
#> BFC0D795-64F4-48B3-AD08-8C564E5E5367 1 0.4171 0.4238 0.604 0.000 0.000 0.000 0.396
#> 907BBBA4-4E7B-4808-892E-F80525C3CFA3 5 0.0000 0.8819 0.000 0.000 0.000 0.000 1.000
#> 7F21FA19-1468-4A65-A10A-A9727218A5EF 1 0.0000 0.9143 1.000 0.000 0.000 0.000 0.000
#> 905A026A-0B13-4AD3-B2BB-9A5AE76920AF 4 0.0000 0.9204 0.000 0.000 0.000 1.000 0.000
#> 6DDFC760-7BED-4A68-8DDA-9453D0FC9C1D 1 0.0000 0.9143 1.000 0.000 0.000 0.000 0.000
#> B3AFF323-BAAD-4512-A837-20C430EA39D1 5 0.2966 0.8246 0.184 0.000 0.000 0.000 0.816
#> 193E9034-42A2-4701-AA3E-2E852CA5C043 1 0.0000 0.9143 1.000 0.000 0.000 0.000 0.000
#> 8B6127D5-D3BB-4E17-914C-3ED1E2A52078 4 0.0404 0.9240 0.000 0.012 0.000 0.988 0.000
#> BD6E5E3C-DC43-4A85-84DF-84C68ABB851A 4 0.0000 0.9204 0.000 0.000 0.000 1.000 0.000
#> 881EACBD-B314-4A9E-A6DE-58DF9466AFB3 4 0.2471 0.8226 0.000 0.000 0.000 0.864 0.136
#> 195A6DF6-437D-4964-8872-C44F13E2CA4C 2 0.0000 0.9327 0.000 1.000 0.000 0.000 0.000
#> C40FD0B3-4773-490D-A342-B1CE8CC0A5BD 1 0.0000 0.9143 1.000 0.000 0.000 0.000 0.000
#> 613454BF-1A66-4DBB-90D0-246FC212DA4A 5 0.0963 0.8836 0.036 0.000 0.000 0.000 0.964
#> 5F121320-0F61-4BC0-BB69-F5C9A93BC118 1 0.0000 0.9143 1.000 0.000 0.000 0.000 0.000
#> E5637874-962B-4C43-8339-A6625D754DA8 1 0.6479 0.3281 0.504 0.008 0.000 0.328 0.160
#> 7614BF19-E3A2-492A-ABC0-557B274CA326 1 0.0000 0.9143 1.000 0.000 0.000 0.000 0.000
#> 6EB070B1-45C3-46DB-BFF9-6D9A137EC3A8 1 0.5576 0.3093 0.512 0.004 0.000 0.060 0.424
#> 873EEA1A-8AA1-4C83-B001-7BD64343ADE1 1 0.0794 0.9009 0.972 0.000 0.000 0.000 0.028
#> 2DCF0812-AC29-4BC2-8929-4D3D7B0F6335 2 0.2127 0.8648 0.000 0.892 0.000 0.108 0.000
#> 9391B623-4EC1-43A2-85EC-7B80BE87827D 5 0.2329 0.8721 0.124 0.000 0.000 0.000 0.876
#> 32A000F1-BAEA-41D2-AC75-02255A5BF2F2 4 0.0000 0.9204 0.000 0.000 0.000 1.000 0.000
#> 9C1016CE-3EAB-4FA7-806B-C8F6B08B4EA1 1 0.3098 0.7949 0.836 0.000 0.000 0.016 0.148
#> C7C4E75E-887F-4D11-9FDC-32292895A6B3 5 0.2813 0.7678 0.000 0.168 0.000 0.000 0.832
#> 54739A62-512F-499F-AFE1-B7C631B35272 1 0.0000 0.9143 1.000 0.000 0.000 0.000 0.000
#> 4476DF0E-6BB4-4682-BF59-E61071D4184E 5 0.0290 0.8845 0.008 0.000 0.000 0.000 0.992
#> DCCC6566-8A72-411D-B8F0-CC92B6D973AF 4 0.0404 0.9240 0.000 0.012 0.000 0.988 0.000
#> 781AEC2C-2604-4DAA-A55C-D07A305AF32E 5 0.1410 0.8516 0.000 0.060 0.000 0.000 0.940
#> CB6BBA89-F467-4E0E-9DD1-04631E23D18C 5 0.0000 0.8819 0.000 0.000 0.000 0.000 1.000
#> 42E0E49F-0F6A-4787-87E8-E5CEA94822F9 2 0.0000 0.9327 0.000 1.000 0.000 0.000 0.000
#> B6466D8A-6CD3-4C90-B1FC-72EBDD93AE47 1 0.2694 0.8547 0.884 0.000 0.000 0.076 0.040
#> EEBC342F-80C7-428B-A69C-35962A8A0251 2 0.0000 0.9327 0.000 1.000 0.000 0.000 0.000
#> 38CB2DA4-D03B-4AAD-820E-B3475C52A945 4 0.2278 0.8942 0.000 0.060 0.000 0.908 0.032
#> E924E4B6-F88B-4F6B-B381-24D125C05D4F 3 0.0000 0.9688 0.000 0.000 1.000 0.000 0.000
#> C207F0D6-55B8-4353-8A7D-F1BA623BED96 5 0.0000 0.8819 0.000 0.000 0.000 0.000 1.000
#> 980CBBAE-2C02-4150-8BDB-B67713B6425C 3 0.0000 0.9688 0.000 0.000 1.000 0.000 0.000
#> 2E2A42A8-50A7-4409-8504-949A2B8A46A6 5 0.2891 0.8413 0.176 0.000 0.000 0.000 0.824
#> 65B6391B-3178-4AB3-9AA8-2FFAC5491988 4 0.0963 0.9065 0.000 0.000 0.036 0.964 0.000
#> 78EEB2C7-4B64-4CB0-9C94-E2AC46A75237 5 0.5203 0.3729 0.332 0.000 0.000 0.060 0.608
#> 4F05A349-3B06-425C-A8CC-63C1B23A3D65 1 0.1197 0.8874 0.952 0.000 0.000 0.000 0.048
#> 1CE1B4DB-1F7B-4F30-BAA1-E0252199F05B 2 0.3636 0.6129 0.000 0.728 0.272 0.000 0.000
#> 05FAAE20-A94E-41FA-B6B6-7DDCFB4F9657 1 0.0000 0.9143 1.000 0.000 0.000 0.000 0.000
#> 8C635DC8-6BED-46F6-893F-2AFB6CB3481A 5 0.0404 0.8840 0.012 0.000 0.000 0.000 0.988
#> 48410523-5F22-4531-97FA-7C796AD58989 1 0.0000 0.9143 1.000 0.000 0.000 0.000 0.000
#> B68D29BD-EDC7-4375-99F7-C5DAF72F3BA6 1 0.0000 0.9143 1.000 0.000 0.000 0.000 0.000
#> 417DC694-EA89-4AE0-94AC-88CA7E4BAA0B 1 0.0000 0.9143 1.000 0.000 0.000 0.000 0.000
#> 64CC8829-8B70-4B43-A364-4905139379E4 1 0.5064 0.6528 0.680 0.000 0.000 0.088 0.232
#> 9E7B3CD8-5195-4757-AC99-F96FDD02B6EC 5 0.0000 0.8819 0.000 0.000 0.000 0.000 1.000
#> 91E396AE-9215-405D-95DA-4F20D02CEB92 5 0.2329 0.8094 0.000 0.124 0.000 0.000 0.876
#> 94CD6202-9C20-48FF-952F-C085A9829FF1 1 0.0510 0.9084 0.984 0.000 0.000 0.000 0.016
#> E13AD861-BBD9-4189-8BB6-4B798BDFAA64 5 0.2377 0.8657 0.128 0.000 0.000 0.000 0.872
#> 6591AC48-9A57-4F9A-B25E-69E9257F4801 1 0.0000 0.9143 1.000 0.000 0.000 0.000 0.000
#> 1F0575EF-CFFA-4282-A054-88FDABBEB0CE 4 0.0579 0.9224 0.000 0.008 0.000 0.984 0.008
#> A2C99D8F-03AD-4E02-8FD2-50E8A8D64FA7 3 0.4192 0.3307 0.000 0.404 0.596 0.000 0.000
#> DD2C6204-0402-42E6-9DCF-C596B254684D 4 0.0290 0.9234 0.000 0.008 0.000 0.992 0.000
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#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 2 0.4161 0.4235 0.000 0.608 0.000 0.392 0.000
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 4 0.0290 0.9234 0.000 0.008 0.000 0.992 0.000
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0000 0.9143 1.000 0.000 0.000 0.000 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.2605 0.8314 0.000 0.852 0.000 0.148 0.000
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 5 0.2516 0.8617 0.140 0.000 0.000 0.000 0.860
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.3895 0.5822 0.000 0.680 0.000 0.320 0.000
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0609 0.9058 0.980 0.000 0.000 0.000 0.020
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.0000 0.9327 0.000 1.000 0.000 0.000 0.000
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 5 0.0000 0.8819 0.000 0.000 0.000 0.000 1.000
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.0000 0.9327 0.000 1.000 0.000 0.000 0.000
#> AC376BBB-667B-4469-B567-9BE18DE0F811 5 0.4138 0.4921 0.384 0.000 0.000 0.000 0.616
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.0290 0.9301 0.000 0.992 0.000 0.008 0.000
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.9143 1.000 0.000 0.000 0.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0162 0.9130 0.996 0.000 0.000 0.000 0.004
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 4 0.1341 0.9053 0.000 0.056 0.000 0.944 0.000
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 5 0.3300 0.7071 0.204 0.004 0.000 0.000 0.792
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 4 0.1478 0.9005 0.000 0.064 0.000 0.936 0.000
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.9688 0.000 0.000 1.000 0.000 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 2 0.0000 0.9327 0.000 1.000 0.000 0.000 0.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.0609 0.9518 0.000 0.020 0.980 0.000 0.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 1 0.1597 0.8881 0.940 0.000 0.000 0.012 0.048
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.0000 0.9327 0.000 1.000 0.000 0.000 0.000
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 4 0.0404 0.9240 0.000 0.012 0.000 0.988 0.000
#> 479A968D-4692-404B-A866-B74E7DD17995 4 0.0794 0.9204 0.000 0.028 0.000 0.972 0.000
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 4 0.1478 0.9038 0.000 0.064 0.000 0.936 0.000
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.9143 1.000 0.000 0.000 0.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.9143 1.000 0.000 0.000 0.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 5 0.2813 0.8473 0.168 0.000 0.000 0.000 0.832
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0609 0.9060 0.980 0.000 0.000 0.000 0.020
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.0000 0.9327 0.000 1.000 0.000 0.000 0.000
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.0000 0.9327 0.000 1.000 0.000 0.000 0.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.2377 0.8150 0.872 0.000 0.000 0.000 0.128
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.0000 0.9327 0.000 1.000 0.000 0.000 0.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 5 0.2852 0.8450 0.172 0.000 0.000 0.000 0.828
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 5 0.4273 0.2771 0.448 0.000 0.000 0.000 0.552
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.9688 0.000 0.000 1.000 0.000 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 5 0.2074 0.8748 0.104 0.000 0.000 0.000 0.896
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.1682 0.76383 0.928 0.000 0.000 0.000 0.020 0.052
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.96421 0.000 0.000 1.000 0.000 0.000 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 5 0.0146 0.88475 0.000 0.000 0.000 0.000 0.996 0.004
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.1563 0.76446 0.932 0.000 0.000 0.000 0.012 0.056
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 5 0.1320 0.88017 0.036 0.000 0.000 0.000 0.948 0.016
#> 1B76089D-785F-4353-A898-4E632023D482 6 0.3375 0.72346 0.088 0.000 0.000 0.000 0.096 0.816
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 4 0.1908 0.85382 0.000 0.000 0.000 0.916 0.028 0.056
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 2 0.4190 0.78412 0.000 0.784 0.000 0.064 0.052 0.100
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 5 0.1261 0.88197 0.024 0.000 0.000 0.000 0.952 0.024
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 6 0.1700 0.74522 0.004 0.000 0.000 0.000 0.080 0.916
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 6 0.1663 0.74420 0.000 0.000 0.000 0.000 0.088 0.912
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 2 0.2618 0.82345 0.000 0.860 0.116 0.000 0.024 0.000
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.3684 0.35446 0.628 0.000 0.000 0.000 0.000 0.372
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 2 0.0547 0.91840 0.000 0.980 0.020 0.000 0.000 0.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 1 0.7050 0.22990 0.428 0.000 0.000 0.124 0.304 0.144
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 4 0.0000 0.89223 0.000 0.000 0.000 1.000 0.000 0.000
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.4491 0.27989 0.576 0.000 0.000 0.000 0.036 0.388
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.3684 0.33753 0.628 0.000 0.000 0.000 0.000 0.372
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 5 0.0000 0.88455 0.000 0.000 0.000 0.000 1.000 0.000
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.4357 0.35268 0.624 0.000 0.000 0.000 0.340 0.036
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 5 0.3644 0.74631 0.000 0.000 0.000 0.120 0.792 0.088
#> 83453F80-8A68-4A3C-995D-85CFB1011249 4 0.3351 0.66237 0.000 0.288 0.000 0.712 0.000 0.000
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 4 0.0260 0.89088 0.000 0.000 0.000 0.992 0.000 0.008
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 6 0.4264 -0.00512 0.488 0.000 0.000 0.000 0.016 0.496
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 5 0.2383 0.82001 0.000 0.096 0.000 0.000 0.880 0.024
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 5 0.0858 0.88566 0.028 0.000 0.000 0.000 0.968 0.004
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.0000 0.92676 0.000 1.000 0.000 0.000 0.000 0.000
#> 375FE390-434B-41D3-9029-84065B1D7B6F 2 0.1657 0.89364 0.000 0.928 0.000 0.016 0.000 0.056
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.1957 0.73740 0.888 0.000 0.000 0.000 0.000 0.112
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.0000 0.92676 0.000 1.000 0.000 0.000 0.000 0.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.0000 0.92676 0.000 1.000 0.000 0.000 0.000 0.000
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.0000 0.92676 0.000 1.000 0.000 0.000 0.000 0.000
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.0146 0.92610 0.000 0.996 0.000 0.000 0.000 0.004
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 5 0.4322 0.41077 0.372 0.000 0.000 0.000 0.600 0.028
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 2 0.3515 0.49732 0.000 0.676 0.000 0.324 0.000 0.000
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 2 0.2632 0.80860 0.000 0.832 0.000 0.164 0.000 0.004
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 5 0.1418 0.88062 0.032 0.000 0.000 0.000 0.944 0.024
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0000 0.96421 0.000 0.000 1.000 0.000 0.000 0.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 6 0.3149 0.70965 0.044 0.000 0.000 0.000 0.132 0.824
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.0000 0.96421 0.000 0.000 1.000 0.000 0.000 0.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 4 0.0000 0.89223 0.000 0.000 0.000 1.000 0.000 0.000
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.0000 0.96421 0.000 0.000 1.000 0.000 0.000 0.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.0000 0.96421 0.000 0.000 1.000 0.000 0.000 0.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 5 0.4812 0.38792 0.344 0.000 0.000 0.000 0.588 0.068
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 6 0.1644 0.74965 0.012 0.000 0.000 0.004 0.052 0.932
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.1682 0.76383 0.928 0.000 0.000 0.000 0.020 0.052
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 4 0.0000 0.89223 0.000 0.000 0.000 1.000 0.000 0.000
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 5 0.0000 0.88455 0.000 0.000 0.000 0.000 1.000 0.000
#> 8854A877-96C1-441F-9B58-143641CCBB43 5 0.4045 0.64732 0.268 0.000 0.000 0.000 0.696 0.036
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 4 0.5829 0.41283 0.000 0.320 0.000 0.552 0.064 0.064
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 4 0.4292 0.36795 0.000 0.388 0.000 0.588 0.000 0.024
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 6 0.1267 0.75434 0.060 0.000 0.000 0.000 0.000 0.940
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.0000 0.96421 0.000 0.000 1.000 0.000 0.000 0.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 6 0.2618 0.74717 0.116 0.000 0.000 0.000 0.024 0.860
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 2 0.0291 0.92525 0.000 0.992 0.000 0.000 0.004 0.004
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 4 0.0000 0.89223 0.000 0.000 0.000 1.000 0.000 0.000
#> 208165C0-229B-49E2-A22A-575CA3157C9E 4 0.4779 0.67379 0.000 0.248 0.000 0.676 0.048 0.028
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 6 0.4228 0.28059 0.392 0.000 0.000 0.000 0.020 0.588
#> 01397021-8495-4D89-885A-166B4DBA0122 3 0.0000 0.96421 0.000 0.000 1.000 0.000 0.000 0.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 3 0.0000 0.96421 0.000 0.000 1.000 0.000 0.000 0.000
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.3868 -0.18486 0.504 0.000 0.000 0.000 0.000 0.496
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 4 0.1007 0.87868 0.000 0.000 0.000 0.956 0.000 0.044
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 2 0.0508 0.92200 0.000 0.984 0.000 0.012 0.000 0.004
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 2 0.2436 0.85986 0.000 0.880 0.032 0.088 0.000 0.000
#> AA569A06-0F37-4492-93F3-60A4539A3E82 2 0.0777 0.91632 0.000 0.972 0.000 0.024 0.000 0.004
#> BC53FB75-94CA-48C3-875B-5987037D186F 2 0.0000 0.92676 0.000 1.000 0.000 0.000 0.000 0.000
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 6 0.4520 0.10470 0.448 0.000 0.000 0.000 0.032 0.520
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 2 0.0000 0.92676 0.000 1.000 0.000 0.000 0.000 0.000
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 2 0.2278 0.82804 0.000 0.868 0.000 0.128 0.000 0.004
#> DF67F589-A607-4B95-96B8-4BB344132312 4 0.3390 0.59847 0.000 0.296 0.000 0.704 0.000 0.000
#> A65233E6-C146-4ACF-8DDE-5FB12D8D9637 3 0.0000 0.96421 0.000 0.000 1.000 0.000 0.000 0.000
#> 7578C9A3-FFF8-45C4-AC28-1C6141A9A2AD 1 0.1285 0.77025 0.944 0.000 0.000 0.000 0.004 0.052
#> 4DF775B9-E2FE-4F5E-8329-C37E21C5D10E 5 0.1010 0.87759 0.004 0.000 0.000 0.000 0.960 0.036
#> 5E6B86C6-3D79-47BB-9FAF-CA22659CFEA7 5 0.2265 0.86500 0.052 0.000 0.000 0.000 0.896 0.052
#> 53286128-668B-47EA-9A5F-D768FDCCBE88 1 0.4543 0.24597 0.576 0.000 0.000 0.000 0.040 0.384
#> 01C9F351-97FE-4037-A879-9D96A3DD3FBB 2 0.0000 0.92676 0.000 1.000 0.000 0.000 0.000 0.000
#> 5487DB21-6A58-46AC-A2A1-E343082D41D8 5 0.1549 0.87697 0.044 0.000 0.000 0.000 0.936 0.020
#> 0FB3E997-4E31-4FA6-9654-11C3C0AF8D86 2 0.0000 0.92676 0.000 1.000 0.000 0.000 0.000 0.000
#> A0706E80-FDF9-4721-BEB4-90527F6D38C4 2 0.2491 0.81737 0.000 0.836 0.000 0.164 0.000 0.000
#> 5260226E-1826-4F54-8237-28993DD2EF04 3 0.0000 0.96421 0.000 0.000 1.000 0.000 0.000 0.000
#> F53F71A7-A399-49AB-8657-019C5C56F48C 2 0.0405 0.92336 0.000 0.988 0.000 0.000 0.008 0.004
#> 008159F2-5247-479A-8BFE-C394888D0B74 4 0.0000 0.89223 0.000 0.000 0.000 1.000 0.000 0.000
#> 9E6BA6FB-35F2-4510-94AE-3E7CDFED3D47 3 0.0000 0.96421 0.000 0.000 1.000 0.000 0.000 0.000
#> F12BE7AC-D2DD-4AD1-AB37-32DC85954F59 6 0.1594 0.75012 0.016 0.000 0.000 0.000 0.052 0.932
#> 38A6BA1F-B444-4155-A168-EC2DF0EE0785 5 0.4941 0.60370 0.236 0.000 0.000 0.000 0.640 0.124
#> B107D1DE-EE52-4E89-B75A-91124BFF99AE 3 0.0000 0.96421 0.000 0.000 1.000 0.000 0.000 0.000
#> D4D16D09-8895-4BEA-ABF7-F11C5D5BDCAA 5 0.1700 0.86855 0.024 0.000 0.000 0.000 0.928 0.048
#> 9A53C473-1364-4BB6-AD36-EF53E0208450 1 0.1341 0.76884 0.948 0.000 0.000 0.000 0.024 0.028
#> F00C0ED6-C811-4F32-BDB4-4ACA7861DC7D 2 0.3851 0.11054 0.000 0.540 0.000 0.460 0.000 0.000
#> 72618985-CD49-4B6F-8CB0-5EE590FAD09A 2 0.0146 0.92610 0.000 0.996 0.000 0.000 0.000 0.004
#> 978A315F-CCE9-4D03-A680-C0AD60B10557 2 0.2597 0.79695 0.000 0.824 0.000 0.176 0.000 0.000
#> B6EACAED-3944-4510-B685-0BB8D1651D4F 5 0.0146 0.88475 0.000 0.000 0.000 0.000 0.996 0.004
#> EBCF16B4-A804-45EB-8253-0F28A2645729 5 0.1267 0.86738 0.000 0.000 0.000 0.000 0.940 0.060
#> 637DC441-4A75-4DA8-8F65-91FDB5F103C7 5 0.0260 0.88378 0.000 0.000 0.000 0.000 0.992 0.008
#> 89F67654-A246-4307-9B17-4A1C01DB1AED 4 0.0000 0.89223 0.000 0.000 0.000 1.000 0.000 0.000
#> 3A8EB57B-71ED-4169-A8EB-624C67CDBBE1 2 0.0000 0.92676 0.000 1.000 0.000 0.000 0.000 0.000
#> CC4DA9C6-CAB2-44FF-8219-D293ECD07DD4 5 0.0146 0.88528 0.004 0.000 0.000 0.000 0.996 0.000
#> AEC4FDAA-8F60-43CE-8EBB-5629FA662F16 2 0.0146 0.92610 0.000 0.996 0.000 0.000 0.000 0.004
#> BFC0D795-64F4-48B3-AD08-8C564E5E5367 6 0.2625 0.75926 0.072 0.000 0.000 0.000 0.056 0.872
#> 907BBBA4-4E7B-4808-892E-F80525C3CFA3 5 0.1444 0.86535 0.000 0.000 0.000 0.000 0.928 0.072
#> 7F21FA19-1468-4A65-A10A-A9727218A5EF 1 0.0713 0.77530 0.972 0.000 0.000 0.000 0.000 0.028
#> 905A026A-0B13-4AD3-B2BB-9A5AE76920AF 4 0.1141 0.87588 0.000 0.000 0.000 0.948 0.000 0.052
#> 6DDFC760-7BED-4A68-8DDA-9453D0FC9C1D 1 0.1141 0.77082 0.948 0.000 0.000 0.000 0.000 0.052
#> B3AFF323-BAAD-4512-A837-20C430EA39D1 5 0.1408 0.88241 0.036 0.000 0.000 0.000 0.944 0.020
#> 193E9034-42A2-4701-AA3E-2E852CA5C043 6 0.3076 0.67712 0.240 0.000 0.000 0.000 0.000 0.760
#> 8B6127D5-D3BB-4E17-914C-3ED1E2A52078 4 0.0000 0.89223 0.000 0.000 0.000 1.000 0.000 0.000
#> BD6E5E3C-DC43-4A85-84DF-84C68ABB851A 4 0.0000 0.89223 0.000 0.000 0.000 1.000 0.000 0.000
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#> B4F82CBB-A47C-44C3-81AC-CF775FF06FCD 6 0.2667 0.75528 0.128 0.000 0.000 0.000 0.020 0.852
#> BFAB10CF-5B24-40F7-92E7-C2E60DD779EF 5 0.1686 0.86476 0.012 0.000 0.000 0.000 0.924 0.064
#> E4E259E1-48B2-4C76-B113-E46270742F53 2 0.0146 0.92610 0.000 0.996 0.000 0.000 0.000 0.004
#> 81FCBC31-367A-4B1C-A832-B133E4A43738 5 0.0937 0.87664 0.000 0.000 0.000 0.000 0.960 0.040
#> 8690FA0F-9C1C-4D97-813A-3FB56827FBFC 2 0.0767 0.91979 0.000 0.976 0.000 0.012 0.004 0.008
#> 9810CF0C-99D1-445B-B1F9-C956D2438495 3 0.1007 0.92103 0.000 0.044 0.956 0.000 0.000 0.000
#> 2F5073E1-9EDD-46B5-95E3-8314E2A5B620 5 0.0909 0.88200 0.012 0.000 0.000 0.000 0.968 0.020
#> B454F9FB-439A-43B5-877D-752D0F138AB5 2 0.0000 0.92676 0.000 1.000 0.000 0.000 0.000 0.000
#> 287F2B71-92F8-4D14-8249-C1BFBB254BE7 6 0.1918 0.75086 0.088 0.000 0.000 0.000 0.008 0.904
#> 52DC920F-0AD5-47CE-BD81-31843876B71E 1 0.3883 0.38389 0.656 0.000 0.000 0.000 0.012 0.332
#> 6BAC4B1B-C3FC-4A09-9821-232E510E6A47 5 0.1921 0.87162 0.052 0.000 0.000 0.000 0.916 0.032
#> A2B87EED-0D8E-4B20-85D3-FD9CC5E2E806 6 0.3869 0.16899 0.500 0.000 0.000 0.000 0.000 0.500
#> 43E6DB93-2DA6-4F0F-BF81-0C3869134D2B 1 0.1204 0.75921 0.944 0.000 0.000 0.000 0.000 0.056
#> 09A2ED74-A7C7-4DBB-8EDD-C80D0F0AEFDF 5 0.1856 0.86654 0.032 0.000 0.000 0.000 0.920 0.048
#> 35EDCB52-D4B5-4305-8A74-95EFE6F2BFB1 6 0.3672 0.45482 0.000 0.000 0.000 0.000 0.368 0.632
#> D5D18AF8-9CC2-496C-A83A-31BBA0195CFD 6 0.2135 0.73852 0.000 0.000 0.000 0.000 0.128 0.872
#> 03767EDF-2F8A-41DE-8D80-F4BE861225A3 5 0.0713 0.87754 0.000 0.000 0.000 0.000 0.972 0.028
#> 586BC656-AD9C-44EF-9ED4-87DEEB5C8AA6 6 0.2378 0.74154 0.152 0.000 0.000 0.000 0.000 0.848
#> 23CA1146-CB1B-4054-A4FF-200B87444BF9 1 0.0458 0.77624 0.984 0.000 0.000 0.000 0.000 0.016
#> 910E9B6D-E7D5-4C83-A19C-1EEA6E135639 6 0.1890 0.75059 0.024 0.000 0.000 0.000 0.060 0.916
#> F36353A3-6CE6-4347-A78B-0AAD8FAB14AD 1 0.0937 0.77358 0.960 0.000 0.000 0.000 0.000 0.040
#> 2045736E-7D0F-4B17-B74B-3B12AEE3E68C 1 0.1141 0.77082 0.948 0.000 0.000 0.000 0.000 0.052
#> 5EFA2C2D-30B3-4D66-9601-354711F9FC56 3 0.0000 0.96421 0.000 0.000 1.000 0.000 0.000 0.000
#> 3FBD381D-84C8-4680-980B-CC4B7924BE06 2 0.0000 0.92676 0.000 1.000 0.000 0.000 0.000 0.000
#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 4 0.2119 0.83707 0.000 0.000 0.000 0.904 0.060 0.036
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 5 0.1421 0.88005 0.028 0.000 0.000 0.000 0.944 0.028
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 2 0.0146 0.92589 0.000 0.996 0.000 0.004 0.000 0.000
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 4 0.3531 0.59786 0.000 0.328 0.000 0.672 0.000 0.000
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 5 0.0000 0.88455 0.000 0.000 0.000 0.000 1.000 0.000
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 2 0.0000 0.92676 0.000 1.000 0.000 0.000 0.000 0.000
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 4 0.0000 0.89223 0.000 0.000 0.000 1.000 0.000 0.000
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 6 0.1501 0.74839 0.000 0.000 0.000 0.000 0.076 0.924
#> A3343F40-F977-4F9B-856A-28781F10F4CD 4 0.1141 0.87160 0.000 0.052 0.000 0.948 0.000 0.000
#> DA144299-5541-47D7-A59E-C92896DF08FC 5 0.2412 0.85373 0.028 0.000 0.000 0.000 0.880 0.092
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 2 0.0000 0.92676 0.000 1.000 0.000 0.000 0.000 0.000
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.3747 0.22398 0.604 0.000 0.000 0.000 0.000 0.396
#> 617447CF-9327-4062-B22C-71A8944C948F 4 0.0000 0.89223 0.000 0.000 0.000 1.000 0.000 0.000
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0260 0.77693 0.992 0.000 0.000 0.000 0.000 0.008
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 4 0.0000 0.89223 0.000 0.000 0.000 1.000 0.000 0.000
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 6 0.3221 0.73076 0.096 0.000 0.000 0.000 0.076 0.828
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.1910 0.86100 0.000 0.892 0.000 0.108 0.000 0.000
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 5 0.4130 0.61334 0.044 0.000 0.000 0.000 0.696 0.260
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 3 0.0000 0.96421 0.000 0.000 1.000 0.000 0.000 0.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 4 0.0000 0.89223 0.000 0.000 0.000 1.000 0.000 0.000
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 3 0.1387 0.89344 0.000 0.068 0.932 0.000 0.000 0.000
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 6 0.3092 0.72478 0.060 0.000 0.000 0.000 0.104 0.836
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 5 0.1644 0.85705 0.004 0.000 0.000 0.000 0.920 0.076
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.0000 0.92676 0.000 1.000 0.000 0.000 0.000 0.000
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 6 0.3190 0.71761 0.044 0.000 0.000 0.000 0.136 0.820
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.0937 0.77408 0.960 0.000 0.000 0.000 0.000 0.040
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 2 0.1444 0.88488 0.000 0.928 0.072 0.000 0.000 0.000
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 2 0.3659 0.45019 0.000 0.636 0.364 0.000 0.000 0.000
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 5 0.1333 0.87420 0.008 0.000 0.000 0.000 0.944 0.048
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 5 0.0547 0.87999 0.000 0.000 0.000 0.000 0.980 0.020
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 6 0.2454 0.74143 0.160 0.000 0.000 0.000 0.000 0.840
#> DA1301D3-1F84-46C5-AB44-079493A81A51 5 0.1297 0.88027 0.040 0.000 0.000 0.000 0.948 0.012
#> A12B1681-B598-40C3-80FE-1801F3F1189D 5 0.2088 0.87126 0.028 0.000 0.000 0.000 0.904 0.068
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 2 0.3906 0.79276 0.000 0.796 0.000 0.120 0.052 0.032
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 4 0.3428 0.60158 0.000 0.000 0.000 0.696 0.000 0.304
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.0000 0.92676 0.000 1.000 0.000 0.000 0.000 0.000
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.4110 0.63066 0.000 0.692 0.000 0.268 0.000 0.040
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 5 0.0000 0.88455 0.000 0.000 0.000 0.000 1.000 0.000
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.1644 0.88422 0.000 0.920 0.000 0.076 0.000 0.004
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.0000 0.92676 0.000 1.000 0.000 0.000 0.000 0.000
#> 1D0379B1-0E99-4E6D-B890-907C92860654 2 0.4351 0.77086 0.000 0.772 0.000 0.100 0.052 0.076
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.0000 0.92676 0.000 1.000 0.000 0.000 0.000 0.000
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 2 0.4241 0.43638 0.000 0.608 0.000 0.368 0.000 0.024
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 4 0.0000 0.89223 0.000 0.000 0.000 1.000 0.000 0.000
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 6 0.3547 0.52513 0.332 0.000 0.000 0.000 0.000 0.668
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.2378 0.82326 0.000 0.848 0.000 0.152 0.000 0.000
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 5 0.1865 0.87163 0.040 0.000 0.000 0.000 0.920 0.040
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.3601 0.59050 0.000 0.684 0.000 0.312 0.000 0.004
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.2346 0.72353 0.868 0.000 0.000 0.000 0.008 0.124
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.0000 0.92676 0.000 1.000 0.000 0.000 0.000 0.000
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 5 0.0632 0.87932 0.000 0.000 0.000 0.000 0.976 0.024
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.0000 0.92676 0.000 1.000 0.000 0.000 0.000 0.000
#> AC376BBB-667B-4469-B567-9BE18DE0F811 5 0.3670 0.68624 0.240 0.000 0.000 0.000 0.736 0.024
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.0146 0.92586 0.000 0.996 0.000 0.004 0.000 0.000
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0937 0.77701 0.960 0.000 0.000 0.000 0.000 0.040
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.1082 0.77302 0.956 0.000 0.000 0.000 0.004 0.040
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 4 0.0865 0.88086 0.000 0.036 0.000 0.964 0.000 0.000
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 6 0.1720 0.75191 0.040 0.000 0.000 0.000 0.032 0.928
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 4 0.2300 0.80864 0.000 0.144 0.000 0.856 0.000 0.000
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.96421 0.000 0.000 1.000 0.000 0.000 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 2 0.0000 0.92676 0.000 1.000 0.000 0.000 0.000 0.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.0632 0.94209 0.000 0.024 0.976 0.000 0.000 0.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 6 0.2362 0.74108 0.136 0.000 0.000 0.000 0.004 0.860
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.0000 0.92676 0.000 1.000 0.000 0.000 0.000 0.000
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 4 0.0000 0.89223 0.000 0.000 0.000 1.000 0.000 0.000
#> 479A968D-4692-404B-A866-B74E7DD17995 4 0.0363 0.89080 0.000 0.012 0.000 0.988 0.000 0.000
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 4 0.1814 0.85090 0.000 0.100 0.000 0.900 0.000 0.000
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0632 0.77571 0.976 0.000 0.000 0.000 0.000 0.024
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0790 0.77515 0.968 0.000 0.000 0.000 0.000 0.032
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 5 0.1682 0.87443 0.052 0.000 0.000 0.000 0.928 0.020
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0972 0.77468 0.964 0.000 0.000 0.000 0.008 0.028
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.0000 0.92676 0.000 1.000 0.000 0.000 0.000 0.000
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.0000 0.92676 0.000 1.000 0.000 0.000 0.000 0.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 6 0.2842 0.75536 0.104 0.000 0.000 0.000 0.044 0.852
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.0000 0.92676 0.000 1.000 0.000 0.000 0.000 0.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 6 0.2733 0.74607 0.056 0.000 0.000 0.000 0.080 0.864
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 5 0.4107 0.60408 0.280 0.000 0.000 0.000 0.684 0.036
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.96421 0.000 0.000 1.000 0.000 0.000 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 5 0.1391 0.87892 0.016 0.000 0.000 0.000 0.944 0.040
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["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 17654 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'MAD' method.
#> Subgroups are detected by 'mclust' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 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 0.937 0.939 0.974 0.4978 0.500 0.500
#> 3 3 0.976 0.938 0.977 0.1702 0.814 0.663
#> 4 4 0.724 0.649 0.841 0.1732 0.872 0.700
#> 5 5 0.689 0.590 0.770 0.1169 0.808 0.471
#> 6 6 0.688 0.654 0.785 0.0629 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] 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
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.9797 1.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 2 0.0000 0.9650 0.000 1.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.0000 0.9797 1.000 0.000
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.0000 0.9797 1.000 0.000
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#> D1B88E26-3B64-4E1A-8E50-22AD100BD9F9 2 0.1414 0.9550 0.020 0.980
#> 3AEB8943-FE34-4014-B851-BBF83857A794 2 0.2423 0.9421 0.040 0.960
#> BECD727E-E3C1-4C42-9047-D97B7444B20B 2 0.1184 0.9572 0.016 0.984
#> AF866E63-9EA1-4669-B9C4-FC7E877334AE 2 0.1184 0.9572 0.016 0.984
#> F9C8E54A-4CE4-4839-B0CA-58678461EEF1 2 0.0000 0.9650 0.000 1.000
#> AE818BC4-05BF-4E85-A4AD-F3E43DD7D37A 2 0.0000 0.9650 0.000 1.000
#> BA73A860-CADE-408D-8D27-14EADA2B53B0 1 0.0000 0.9797 1.000 0.000
#> 688858C8-48CA-43E9-AE2C-B9D4F80B5EE9 2 0.0376 0.9632 0.004 0.996
#> EB1D52B2-17B3-491E-B484-1235633D6925 1 0.8386 0.6337 0.732 0.268
#> AE261B5D-3881-40B9-8EE7-26B950E0BE16 1 0.0000 0.9797 1.000 0.000
#> 8C9851D5-3091-4DE0-A59E-9122C0CA1CD2 2 0.0000 0.9650 0.000 1.000
#> C8180F95-4E9C-45DB-B959-B47F64167C2D 1 0.0938 0.9686 0.988 0.012
#> 552D3B42-8D22-4B64-B3A2-B3E5D51A8524 2 0.0000 0.9650 0.000 1.000
#> FED9F364-BC3F-4134-BF4B-4D24B0EB8315 1 0.0000 0.9797 1.000 0.000
#> 7B0D7792-C803-4DD0-B9BF-CB83DA2D199A 1 0.0000 0.9797 1.000 0.000
#> B4F82CBB-A47C-44C3-81AC-CF775FF06FCD 1 0.0000 0.9797 1.000 0.000
#> BFAB10CF-5B24-40F7-92E7-C2E60DD779EF 1 0.0000 0.9797 1.000 0.000
#> E4E259E1-48B2-4C76-B113-E46270742F53 2 0.0000 0.9650 0.000 1.000
#> 81FCBC31-367A-4B1C-A832-B133E4A43738 1 0.0000 0.9797 1.000 0.000
#> 8690FA0F-9C1C-4D97-813A-3FB56827FBFC 2 0.3274 0.9263 0.060 0.940
#> 9810CF0C-99D1-445B-B1F9-C956D2438495 2 0.0000 0.9650 0.000 1.000
#> 2F5073E1-9EDD-46B5-95E3-8314E2A5B620 1 0.0000 0.9797 1.000 0.000
#> B454F9FB-439A-43B5-877D-752D0F138AB5 2 0.0000 0.9650 0.000 1.000
#> 287F2B71-92F8-4D14-8249-C1BFBB254BE7 1 0.0000 0.9797 1.000 0.000
#> 52DC920F-0AD5-47CE-BD81-31843876B71E 1 0.0000 0.9797 1.000 0.000
#> 6BAC4B1B-C3FC-4A09-9821-232E510E6A47 1 0.0000 0.9797 1.000 0.000
#> A2B87EED-0D8E-4B20-85D3-FD9CC5E2E806 1 0.0000 0.9797 1.000 0.000
#> 43E6DB93-2DA6-4F0F-BF81-0C3869134D2B 1 0.0000 0.9797 1.000 0.000
#> 09A2ED74-A7C7-4DBB-8EDD-C80D0F0AEFDF 1 0.0000 0.9797 1.000 0.000
#> 35EDCB52-D4B5-4305-8A74-95EFE6F2BFB1 1 0.0000 0.9797 1.000 0.000
#> D5D18AF8-9CC2-496C-A83A-31BBA0195CFD 1 0.0000 0.9797 1.000 0.000
#> 03767EDF-2F8A-41DE-8D80-F4BE861225A3 1 0.0000 0.9797 1.000 0.000
#> 586BC656-AD9C-44EF-9ED4-87DEEB5C8AA6 1 0.0000 0.9797 1.000 0.000
#> 23CA1146-CB1B-4054-A4FF-200B87444BF9 1 0.0000 0.9797 1.000 0.000
#> 910E9B6D-E7D5-4C83-A19C-1EEA6E135639 1 0.0000 0.9797 1.000 0.000
#> F36353A3-6CE6-4347-A78B-0AAD8FAB14AD 1 0.0000 0.9797 1.000 0.000
#> 2045736E-7D0F-4B17-B74B-3B12AEE3E68C 1 0.0000 0.9797 1.000 0.000
#> 5EFA2C2D-30B3-4D66-9601-354711F9FC56 2 0.0000 0.9650 0.000 1.000
#> 3FBD381D-84C8-4680-980B-CC4B7924BE06 2 0.0000 0.9650 0.000 1.000
#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 1 0.8144 0.6572 0.748 0.252
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 1 0.0000 0.9797 1.000 0.000
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 2 0.0000 0.9650 0.000 1.000
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 2 0.0000 0.9650 0.000 1.000
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 1 0.0000 0.9797 1.000 0.000
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 2 0.0000 0.9650 0.000 1.000
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 2 0.2778 0.9361 0.048 0.952
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 1 0.0000 0.9797 1.000 0.000
#> A3343F40-F977-4F9B-856A-28781F10F4CD 2 0.0000 0.9650 0.000 1.000
#> DA144299-5541-47D7-A59E-C92896DF08FC 1 0.0000 0.9797 1.000 0.000
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 2 0.0000 0.9650 0.000 1.000
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.0000 0.9797 1.000 0.000
#> 617447CF-9327-4062-B22C-71A8944C948F 2 0.0000 0.9650 0.000 1.000
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0000 0.9797 1.000 0.000
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 2 0.0000 0.9650 0.000 1.000
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.0000 0.9797 1.000 0.000
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.0000 0.9650 0.000 1.000
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.0000 0.9797 1.000 0.000
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 2 0.0000 0.9650 0.000 1.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 2 0.0000 0.9650 0.000 1.000
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 2 0.0000 0.9650 0.000 1.000
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.0000 0.9797 1.000 0.000
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 1 0.0000 0.9797 1.000 0.000
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.0000 0.9650 0.000 1.000
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 1 0.0000 0.9797 1.000 0.000
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.0000 0.9797 1.000 0.000
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 2 0.0000 0.9650 0.000 1.000
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 2 0.0000 0.9650 0.000 1.000
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 1 0.0000 0.9797 1.000 0.000
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 1 0.0000 0.9797 1.000 0.000
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.0000 0.9797 1.000 0.000
#> DA1301D3-1F84-46C5-AB44-079493A81A51 1 0.0000 0.9797 1.000 0.000
#> A12B1681-B598-40C3-80FE-1801F3F1189D 1 0.0000 0.9797 1.000 0.000
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 2 0.9944 0.1988 0.456 0.544
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 1 0.0000 0.9797 1.000 0.000
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.0000 0.9650 0.000 1.000
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.6623 0.8028 0.172 0.828
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 1 0.0000 0.9797 1.000 0.000
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.1184 0.9572 0.016 0.984
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.0000 0.9650 0.000 1.000
#> 1D0379B1-0E99-4E6D-B890-907C92860654 1 0.8386 0.6273 0.732 0.268
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.0000 0.9650 0.000 1.000
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 1 0.9896 0.1955 0.560 0.440
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 2 0.1414 0.9550 0.020 0.980
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0000 0.9797 1.000 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.0000 0.9650 0.000 1.000
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.0000 0.9797 1.000 0.000
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.1184 0.9572 0.016 0.984
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0000 0.9797 1.000 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.0000 0.9650 0.000 1.000
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 1 0.0000 0.9797 1.000 0.000
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.0000 0.9650 0.000 1.000
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.0000 0.9797 1.000 0.000
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.0000 0.9650 0.000 1.000
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.9797 1.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.9797 1.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.0000 0.9650 0.000 1.000
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.0000 0.9797 1.000 0.000
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.0000 0.9650 0.000 1.000
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 2 0.0000 0.9650 0.000 1.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 2 0.0000 0.9650 0.000 1.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 2 0.0000 0.9650 0.000 1.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 1 0.0000 0.9797 1.000 0.000
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.0376 0.9632 0.004 0.996
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.0000 0.9650 0.000 1.000
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.0000 0.9650 0.000 1.000
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.0672 0.9614 0.008 0.992
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.9797 1.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.9797 1.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.0000 0.9797 1.000 0.000
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0000 0.9797 1.000 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.0000 0.9650 0.000 1.000
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.0000 0.9650 0.000 1.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0000 0.9797 1.000 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.0000 0.9650 0.000 1.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.0000 0.9797 1.000 0.000
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.0000 0.9797 1.000 0.000
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 2 0.0000 0.9650 0.000 1.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.0000 0.9797 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.95854 1.000 0.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.98771 0.000 0.000 1.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.0000 0.95854 1.000 0.000 0.000
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.5178 0.63932 0.744 0.256 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.0000 0.95854 1.000 0.000 0.000
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.0000 0.95854 1.000 0.000 0.000
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 2 0.0747 0.96420 0.016 0.984 0.000
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 2 0.0000 0.97992 0.000 1.000 0.000
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.0000 0.95854 1.000 0.000 0.000
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 1 0.4555 0.71517 0.800 0.200 0.000
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.0000 0.95854 1.000 0.000 0.000
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 2 0.0237 0.97857 0.000 0.996 0.004
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.95854 1.000 0.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 2 0.1031 0.96389 0.000 0.976 0.024
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 2 0.0747 0.96420 0.016 0.984 0.000
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.0592 0.97340 0.000 0.988 0.012
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0000 0.95854 1.000 0.000 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.95854 1.000 0.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 1 0.0000 0.95854 1.000 0.000 0.000
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0000 0.95854 1.000 0.000 0.000
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 2 0.5138 0.61248 0.252 0.748 0.000
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.0424 0.97617 0.000 0.992 0.008
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 2 0.0000 0.97992 0.000 1.000 0.000
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0000 0.95854 1.000 0.000 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 2 0.0000 0.97992 0.000 1.000 0.000
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 1 0.0000 0.95854 1.000 0.000 0.000
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.0000 0.97992 0.000 1.000 0.000
#> 375FE390-434B-41D3-9029-84065B1D7B6F 2 0.0000 0.97992 0.000 1.000 0.000
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 0.95854 1.000 0.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.0592 0.97340 0.000 0.988 0.012
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.0000 0.97992 0.000 1.000 0.000
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.0000 0.97992 0.000 1.000 0.000
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.0000 0.97992 0.000 1.000 0.000
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.0000 0.95854 1.000 0.000 0.000
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 2 0.0592 0.97340 0.000 0.988 0.012
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 2 0.0000 0.97992 0.000 1.000 0.000
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 1 0.0000 0.95854 1.000 0.000 0.000
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0000 0.98771 0.000 0.000 1.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.0000 0.95854 1.000 0.000 0.000
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.0000 0.98771 0.000 0.000 1.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 2 0.0000 0.97992 0.000 1.000 0.000
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.0000 0.98771 0.000 0.000 1.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.0000 0.98771 0.000 0.000 1.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 1 0.0000 0.95854 1.000 0.000 0.000
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 1 0.5810 0.51908 0.664 0.336 0.000
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.0000 0.95854 1.000 0.000 0.000
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 2 0.0000 0.97992 0.000 1.000 0.000
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 1 0.0000 0.95854 1.000 0.000 0.000
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.0000 0.95854 1.000 0.000 0.000
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 2 0.0000 0.97992 0.000 1.000 0.000
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.0000 0.97992 0.000 1.000 0.000
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 1 0.6235 0.27555 0.564 0.436 0.000
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.0000 0.98771 0.000 0.000 1.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.0000 0.95854 1.000 0.000 0.000
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 2 0.0000 0.97992 0.000 1.000 0.000
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 2 0.0000 0.97992 0.000 1.000 0.000
#> 208165C0-229B-49E2-A22A-575CA3157C9E 2 0.0000 0.97992 0.000 1.000 0.000
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 1 0.0000 0.95854 1.000 0.000 0.000
#> 01397021-8495-4D89-885A-166B4DBA0122 3 0.0000 0.98771 0.000 0.000 1.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 3 0.0000 0.98771 0.000 0.000 1.000
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.0000 0.95854 1.000 0.000 0.000
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 2 0.0000 0.97992 0.000 1.000 0.000
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 2 0.0237 0.97857 0.000 0.996 0.004
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#> F36353A3-6CE6-4347-A78B-0AAD8FAB14AD 1 0.0000 0.95854 1.000 0.000 0.000
#> 2045736E-7D0F-4B17-B74B-3B12AEE3E68C 1 0.0000 0.95854 1.000 0.000 0.000
#> 5EFA2C2D-30B3-4D66-9601-354711F9FC56 3 0.0000 0.98771 0.000 0.000 1.000
#> 3FBD381D-84C8-4680-980B-CC4B7924BE06 2 0.0000 0.97992 0.000 1.000 0.000
#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 2 0.0000 0.97992 0.000 1.000 0.000
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 1 0.0000 0.95854 1.000 0.000 0.000
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 2 0.0000 0.97992 0.000 1.000 0.000
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 2 0.0237 0.97857 0.000 0.996 0.004
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 1 0.0000 0.95854 1.000 0.000 0.000
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 2 0.0000 0.97992 0.000 1.000 0.000
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 2 0.0000 0.97992 0.000 1.000 0.000
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 1 0.0000 0.95854 1.000 0.000 0.000
#> A3343F40-F977-4F9B-856A-28781F10F4CD 2 0.0237 0.97857 0.000 0.996 0.004
#> DA144299-5541-47D7-A59E-C92896DF08FC 1 0.0000 0.95854 1.000 0.000 0.000
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 2 0.0237 0.97857 0.000 0.996 0.004
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.0000 0.95854 1.000 0.000 0.000
#> 617447CF-9327-4062-B22C-71A8944C948F 2 0.0000 0.97992 0.000 1.000 0.000
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0000 0.95854 1.000 0.000 0.000
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 2 0.0237 0.97857 0.000 0.996 0.004
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.0000 0.95854 1.000 0.000 0.000
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.1031 0.96389 0.000 0.976 0.024
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.0000 0.95854 1.000 0.000 0.000
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 3 0.0000 0.98771 0.000 0.000 1.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 2 0.0237 0.97857 0.000 0.996 0.004
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 3 0.6307 0.00085 0.000 0.488 0.512
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.0000 0.95854 1.000 0.000 0.000
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 1 0.0237 0.95455 0.996 0.004 0.000
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.0237 0.97857 0.000 0.996 0.004
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 1 0.0000 0.95854 1.000 0.000 0.000
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.0000 0.95854 1.000 0.000 0.000
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 2 0.5098 0.67467 0.000 0.752 0.248
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 2 0.1031 0.96389 0.000 0.976 0.024
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 1 0.0000 0.95854 1.000 0.000 0.000
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 1 0.0000 0.95854 1.000 0.000 0.000
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.0000 0.95854 1.000 0.000 0.000
#> DA1301D3-1F84-46C5-AB44-079493A81A51 1 0.0000 0.95854 1.000 0.000 0.000
#> A12B1681-B598-40C3-80FE-1801F3F1189D 1 0.0000 0.95854 1.000 0.000 0.000
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 2 0.0000 0.97992 0.000 1.000 0.000
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 2 0.2165 0.90390 0.064 0.936 0.000
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.0000 0.97992 0.000 1.000 0.000
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.0000 0.97992 0.000 1.000 0.000
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 1 0.0000 0.95854 1.000 0.000 0.000
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.0000 0.97992 0.000 1.000 0.000
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.0747 0.97041 0.000 0.984 0.016
#> 1D0379B1-0E99-4E6D-B890-907C92860654 2 0.0000 0.97992 0.000 1.000 0.000
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.0237 0.97857 0.000 0.996 0.004
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 2 0.0000 0.97992 0.000 1.000 0.000
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 2 0.0237 0.97857 0.000 0.996 0.004
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0000 0.95854 1.000 0.000 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.0237 0.97857 0.000 0.996 0.004
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.0000 0.95854 1.000 0.000 0.000
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.0000 0.97992 0.000 1.000 0.000
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0000 0.95854 1.000 0.000 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.0000 0.97992 0.000 1.000 0.000
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 1 0.0000 0.95854 1.000 0.000 0.000
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.0000 0.97992 0.000 1.000 0.000
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.0000 0.95854 1.000 0.000 0.000
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.0237 0.97857 0.000 0.996 0.004
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.95854 1.000 0.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.95854 1.000 0.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.0237 0.97857 0.000 0.996 0.004
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.0000 0.95854 1.000 0.000 0.000
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.0000 0.97992 0.000 1.000 0.000
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.98771 0.000 0.000 1.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 2 0.1031 0.96389 0.000 0.976 0.024
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 2 0.1031 0.96389 0.000 0.976 0.024
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 1 0.5678 0.54947 0.684 0.316 0.000
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.0000 0.97992 0.000 1.000 0.000
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.0237 0.97857 0.000 0.996 0.004
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.0237 0.97857 0.000 0.996 0.004
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.0000 0.97992 0.000 1.000 0.000
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.95854 1.000 0.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.95854 1.000 0.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.0000 0.95854 1.000 0.000 0.000
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0000 0.95854 1.000 0.000 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.0000 0.97992 0.000 1.000 0.000
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.0000 0.97992 0.000 1.000 0.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0000 0.95854 1.000 0.000 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.0000 0.97992 0.000 1.000 0.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.0000 0.95854 1.000 0.000 0.000
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.0000 0.95854 1.000 0.000 0.000
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.98771 0.000 0.000 1.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.0000 0.95854 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 4 0.5000 0.169466 0.496 0.000 0.000 0.504
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.984217 0.000 0.000 1.000 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.1389 0.624206 0.952 0.000 0.000 0.048
#> 85252141-5469-4F68-8F3F-934F8B3277E5 4 0.3505 0.417505 0.048 0.088 0.000 0.864
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.2281 0.567419 0.904 0.000 0.000 0.096
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.1792 0.611766 0.932 0.000 0.000 0.068
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 4 0.4054 0.411740 0.016 0.188 0.000 0.796
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 2 0.1637 0.929757 0.000 0.940 0.000 0.060
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.3219 0.557651 0.836 0.000 0.000 0.164
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 4 0.7058 0.102349 0.344 0.136 0.000 0.520
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.4972 0.238960 0.544 0.000 0.000 0.456
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 2 0.0188 0.964484 0.000 0.996 0.000 0.004
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 4 0.5000 0.169466 0.496 0.000 0.000 0.504
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 2 0.0000 0.964674 0.000 1.000 0.000 0.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 4 0.4035 0.419525 0.020 0.176 0.000 0.804
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.0000 0.964674 0.000 1.000 0.000 0.000
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.4994 -0.124566 0.520 0.000 0.000 0.480
#> 83D11444-C029-4152-996B-444997C20DB5 4 0.5000 0.169466 0.496 0.000 0.000 0.504
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 1 0.4222 0.454557 0.728 0.000 0.000 0.272
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.3266 0.551113 0.832 0.000 0.000 0.168
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 4 0.5386 0.250715 0.024 0.344 0.000 0.632
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.0000 0.964674 0.000 1.000 0.000 0.000
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 2 0.3907 0.751935 0.000 0.768 0.000 0.232
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 4 0.5000 0.169466 0.496 0.000 0.000 0.504
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 2 0.0336 0.963733 0.000 0.992 0.000 0.008
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 1 0.0000 0.620744 1.000 0.000 0.000 0.000
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.0188 0.964484 0.000 0.996 0.000 0.004
#> 375FE390-434B-41D3-9029-84065B1D7B6F 2 0.0469 0.962364 0.000 0.988 0.000 0.012
#> DECE8689-EAA9-4372-A640-4F76609EC77D 4 0.5000 0.169466 0.496 0.000 0.000 0.504
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.0000 0.964674 0.000 1.000 0.000 0.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.0000 0.964674 0.000 1.000 0.000 0.000
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.0188 0.964484 0.000 0.996 0.000 0.004
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.0188 0.964484 0.000 0.996 0.000 0.004
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.2345 0.596698 0.900 0.000 0.000 0.100
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 2 0.0000 0.964674 0.000 1.000 0.000 0.000
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 2 0.0707 0.958294 0.000 0.980 0.000 0.020
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 1 0.0707 0.624105 0.980 0.000 0.000 0.020
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0000 0.984217 0.000 0.000 1.000 0.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.4790 0.121626 0.620 0.000 0.000 0.380
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.0000 0.984217 0.000 0.000 1.000 0.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 2 0.3688 0.778006 0.000 0.792 0.000 0.208
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.0000 0.984217 0.000 0.000 1.000 0.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.0000 0.984217 0.000 0.000 1.000 0.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 1 0.4304 0.443918 0.716 0.000 0.000 0.284
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 4 0.3606 0.438792 0.024 0.132 0.000 0.844
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 4 0.5000 0.169466 0.496 0.000 0.000 0.504
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 2 0.0469 0.962364 0.000 0.988 0.000 0.012
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 1 0.4277 0.447652 0.720 0.000 0.000 0.280
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.3172 0.560133 0.840 0.000 0.000 0.160
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 2 0.1637 0.929986 0.000 0.940 0.000 0.060
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.0336 0.963165 0.000 0.992 0.000 0.008
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 4 0.3711 0.439319 0.024 0.140 0.000 0.836
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.0000 0.984217 0.000 0.000 1.000 0.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.2814 0.579452 0.868 0.000 0.000 0.132
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 2 0.0188 0.964484 0.000 0.996 0.000 0.004
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 2 0.1022 0.948797 0.000 0.968 0.000 0.032
#> 208165C0-229B-49E2-A22A-575CA3157C9E 2 0.0469 0.962364 0.000 0.988 0.000 0.012
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 4 0.4188 0.230881 0.244 0.004 0.000 0.752
#> 01397021-8495-4D89-885A-166B4DBA0122 3 0.0000 0.984217 0.000 0.000 1.000 0.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 3 0.0000 0.984217 0.000 0.000 1.000 0.000
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.3764 0.501804 0.784 0.000 0.000 0.216
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 2 0.1389 0.937086 0.000 0.952 0.000 0.048
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 2 0.0000 0.964674 0.000 1.000 0.000 0.000
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 2 0.0000 0.964674 0.000 1.000 0.000 0.000
#> AA569A06-0F37-4492-93F3-60A4539A3E82 2 0.0469 0.962364 0.000 0.988 0.000 0.012
#> BC53FB75-94CA-48C3-875B-5987037D186F 2 0.0188 0.964484 0.000 0.996 0.000 0.004
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 1 0.4998 -0.110731 0.512 0.000 0.000 0.488
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 2 0.0188 0.964484 0.000 0.996 0.000 0.004
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 2 0.0469 0.962364 0.000 0.988 0.000 0.012
#> DF67F589-A607-4B95-96B8-4BB344132312 2 0.0000 0.964674 0.000 1.000 0.000 0.000
#> A65233E6-C146-4ACF-8DDE-5FB12D8D9637 3 0.0000 0.984217 0.000 0.000 1.000 0.000
#> 7578C9A3-FFF8-45C4-AC28-1C6141A9A2AD 4 0.5000 0.169466 0.496 0.000 0.000 0.504
#> 4DF775B9-E2FE-4F5E-8329-C37E21C5D10E 1 0.4134 0.464305 0.740 0.000 0.000 0.260
#> 5E6B86C6-3D79-47BB-9FAF-CA22659CFEA7 1 0.0000 0.620744 1.000 0.000 0.000 0.000
#> 53286128-668B-47EA-9A5F-D768FDCCBE88 4 0.4761 0.207447 0.372 0.000 0.000 0.628
#> 01C9F351-97FE-4037-A879-9D96A3DD3FBB 2 0.0000 0.964674 0.000 1.000 0.000 0.000
#> 5487DB21-6A58-46AC-A2A1-E343082D41D8 1 0.0707 0.624105 0.980 0.000 0.000 0.020
#> 0FB3E997-4E31-4FA6-9654-11C3C0AF8D86 2 0.0188 0.964484 0.000 0.996 0.000 0.004
#> A0706E80-FDF9-4721-BEB4-90527F6D38C4 2 0.0000 0.964674 0.000 1.000 0.000 0.000
#> 5260226E-1826-4F54-8237-28993DD2EF04 3 0.0000 0.984217 0.000 0.000 1.000 0.000
#> F53F71A7-A399-49AB-8657-019C5C56F48C 2 0.0336 0.963733 0.000 0.992 0.000 0.008
#> 008159F2-5247-479A-8BFE-C394888D0B74 2 0.2469 0.885115 0.000 0.892 0.000 0.108
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#> 52DC920F-0AD5-47CE-BD81-31843876B71E 1 0.4941 -0.011803 0.564 0.000 0.000 0.436
#> 6BAC4B1B-C3FC-4A09-9821-232E510E6A47 1 0.1389 0.621883 0.952 0.000 0.000 0.048
#> A2B87EED-0D8E-4B20-85D3-FD9CC5E2E806 1 0.4431 0.370549 0.696 0.000 0.000 0.304
#> 43E6DB93-2DA6-4F0F-BF81-0C3869134D2B 4 0.5000 0.157512 0.500 0.000 0.000 0.500
#> 09A2ED74-A7C7-4DBB-8EDD-C80D0F0AEFDF 1 0.2011 0.612767 0.920 0.000 0.000 0.080
#> 35EDCB52-D4B5-4305-8A74-95EFE6F2BFB1 1 0.4250 0.451161 0.724 0.000 0.000 0.276
#> D5D18AF8-9CC2-496C-A83A-31BBA0195CFD 4 0.4467 0.297769 0.172 0.040 0.000 0.788
#> 03767EDF-2F8A-41DE-8D80-F4BE861225A3 1 0.4304 0.443918 0.716 0.000 0.000 0.284
#> 586BC656-AD9C-44EF-9ED4-87DEEB5C8AA6 1 0.3975 0.472781 0.760 0.000 0.000 0.240
#> 23CA1146-CB1B-4054-A4FF-200B87444BF9 4 0.5000 0.157512 0.500 0.000 0.000 0.500
#> 910E9B6D-E7D5-4C83-A19C-1EEA6E135639 4 0.3856 0.437627 0.032 0.136 0.000 0.832
#> F36353A3-6CE6-4347-A78B-0AAD8FAB14AD 4 0.5000 0.169466 0.496 0.000 0.000 0.504
#> 2045736E-7D0F-4B17-B74B-3B12AEE3E68C 4 0.5000 0.169466 0.496 0.000 0.000 0.504
#> 5EFA2C2D-30B3-4D66-9601-354711F9FC56 3 0.0000 0.984217 0.000 0.000 1.000 0.000
#> 3FBD381D-84C8-4680-980B-CC4B7924BE06 2 0.0000 0.964674 0.000 1.000 0.000 0.000
#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 2 0.3649 0.785706 0.000 0.796 0.000 0.204
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 1 0.0000 0.620744 1.000 0.000 0.000 0.000
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 2 0.0188 0.964484 0.000 0.996 0.000 0.004
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 2 0.0000 0.964674 0.000 1.000 0.000 0.000
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 1 0.4277 0.501689 0.720 0.000 0.000 0.280
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 2 0.0188 0.964484 0.000 0.996 0.000 0.004
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 2 0.3837 0.758264 0.000 0.776 0.000 0.224
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 1 0.4624 0.412343 0.660 0.000 0.000 0.340
#> A3343F40-F977-4F9B-856A-28781F10F4CD 2 0.0000 0.964674 0.000 1.000 0.000 0.000
#> DA144299-5541-47D7-A59E-C92896DF08FC 4 0.4967 -0.177752 0.452 0.000 0.000 0.548
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 2 0.0000 0.964674 0.000 1.000 0.000 0.000
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 4 0.5000 0.169466 0.496 0.000 0.000 0.504
#> 617447CF-9327-4062-B22C-71A8944C948F 2 0.0336 0.963165 0.000 0.992 0.000 0.008
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 4 0.5000 0.169466 0.496 0.000 0.000 0.504
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 2 0.0000 0.964674 0.000 1.000 0.000 0.000
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 4 0.4999 0.097092 0.492 0.000 0.000 0.508
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.0000 0.964674 0.000 1.000 0.000 0.000
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.4103 0.454668 0.744 0.000 0.000 0.256
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 3 0.0000 0.984217 0.000 0.000 1.000 0.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 2 0.0000 0.964674 0.000 1.000 0.000 0.000
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 3 0.4999 0.013023 0.000 0.492 0.508 0.000
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.4981 -0.088445 0.536 0.000 0.000 0.464
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 1 0.4304 0.443918 0.716 0.000 0.000 0.284
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.0000 0.964674 0.000 1.000 0.000 0.000
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 1 0.0469 0.623164 0.988 0.000 0.000 0.012
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.4999 -0.154324 0.508 0.000 0.000 0.492
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 2 0.3688 0.732322 0.000 0.792 0.208 0.000
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 2 0.0000 0.964674 0.000 1.000 0.000 0.000
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 1 0.1211 0.623877 0.960 0.000 0.000 0.040
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 1 0.4304 0.443918 0.716 0.000 0.000 0.284
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.4981 -0.073586 0.536 0.000 0.000 0.464
#> DA1301D3-1F84-46C5-AB44-079493A81A51 1 0.2081 0.590642 0.916 0.000 0.000 0.084
#> A12B1681-B598-40C3-80FE-1801F3F1189D 1 0.1022 0.618286 0.968 0.000 0.000 0.032
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 2 0.1302 0.941871 0.000 0.956 0.000 0.044
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 4 0.3647 0.436085 0.016 0.152 0.000 0.832
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.0000 0.964674 0.000 1.000 0.000 0.000
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.2011 0.913051 0.000 0.920 0.000 0.080
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 1 0.0000 0.620744 1.000 0.000 0.000 0.000
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.0000 0.964674 0.000 1.000 0.000 0.000
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.0000 0.964674 0.000 1.000 0.000 0.000
#> 1D0379B1-0E99-4E6D-B890-907C92860654 2 0.1867 0.920050 0.000 0.928 0.000 0.072
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.0000 0.964674 0.000 1.000 0.000 0.000
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 2 0.4040 0.726329 0.000 0.752 0.000 0.248
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 2 0.3764 0.768310 0.000 0.784 0.000 0.216
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.4999 -0.154324 0.508 0.000 0.000 0.492
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.0000 0.964674 0.000 1.000 0.000 0.000
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.2011 0.609841 0.920 0.000 0.000 0.080
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.0469 0.962364 0.000 0.988 0.000 0.012
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.3311 0.547854 0.828 0.000 0.000 0.172
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.0188 0.964484 0.000 0.996 0.000 0.004
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 1 0.4304 0.443918 0.716 0.000 0.000 0.284
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.0188 0.964484 0.000 0.996 0.000 0.004
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.1211 0.623571 0.960 0.000 0.000 0.040
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.0000 0.964674 0.000 1.000 0.000 0.000
#> 99982293-0EF8-4436-9698-4BD38CE70D15 4 0.5000 0.169466 0.496 0.000 0.000 0.504
#> 6793C974-75B7-453A-927B-1B18170E6575 4 0.5000 0.169466 0.496 0.000 0.000 0.504
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.0000 0.964674 0.000 1.000 0.000 0.000
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 4 0.4855 -0.028241 0.400 0.000 0.000 0.600
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.0336 0.963165 0.000 0.992 0.000 0.008
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.984217 0.000 0.000 1.000 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 2 0.0000 0.964674 0.000 1.000 0.000 0.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 2 0.0000 0.964674 0.000 1.000 0.000 0.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 4 0.3711 0.439319 0.024 0.140 0.000 0.836
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.0188 0.964484 0.000 0.996 0.000 0.004
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.0000 0.964674 0.000 1.000 0.000 0.000
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.0000 0.964674 0.000 1.000 0.000 0.000
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.0469 0.962364 0.000 0.988 0.000 0.012
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 4 0.5000 0.169466 0.496 0.000 0.000 0.504
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 4 0.5000 0.169466 0.496 0.000 0.000 0.504
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.2011 0.609841 0.920 0.000 0.000 0.080
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.4776 0.220700 0.624 0.000 0.000 0.376
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.0188 0.964484 0.000 0.996 0.000 0.004
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.0188 0.964484 0.000 0.996 0.000 0.004
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.4989 -0.104767 0.528 0.000 0.000 0.472
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.0000 0.964674 0.000 1.000 0.000 0.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.2081 0.608378 0.916 0.000 0.000 0.084
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.2011 0.609841 0.920 0.000 0.000 0.080
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.984217 0.000 0.000 1.000 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.0817 0.625316 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
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.74757 1.000 0.000 0.000 0.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.99855 0.000 0.000 1.000 0.000 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 5 0.3992 0.64822 0.268 0.012 0.000 0.000 0.720
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.6901 0.44772 0.444 0.404 0.000 0.052 0.100
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 5 0.1638 0.79533 0.064 0.004 0.000 0.000 0.932
#> 1B76089D-785F-4353-A898-4E632023D482 5 0.3967 0.69132 0.264 0.012 0.000 0.000 0.724
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 4 0.5329 0.39713 0.000 0.432 0.000 0.516 0.052
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 4 0.4555 0.37771 0.000 0.472 0.000 0.520 0.008
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 5 0.2358 0.78381 0.104 0.008 0.000 0.000 0.888
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 1 0.6760 0.39732 0.448 0.304 0.000 0.004 0.244
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.6448 0.45418 0.500 0.272 0.000 0.000 0.228
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 4 0.0162 0.61990 0.000 0.004 0.000 0.996 0.000
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.74757 1.000 0.000 0.000 0.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 4 0.0000 0.62142 0.000 0.000 0.000 1.000 0.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 4 0.5886 0.37475 0.008 0.424 0.000 0.492 0.076
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 4 0.0703 0.61065 0.000 0.024 0.000 0.976 0.000
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0290 0.74758 0.992 0.000 0.000 0.000 0.008
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0162 0.74748 0.996 0.000 0.000 0.000 0.004
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 5 0.0290 0.79301 0.008 0.000 0.000 0.000 0.992
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.4638 0.36481 0.648 0.028 0.000 0.000 0.324
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 2 0.7639 -0.47867 0.352 0.412 0.000 0.148 0.088
#> 83453F80-8A68-4A3C-995D-85CFB1011249 4 0.2280 0.44856 0.000 0.120 0.000 0.880 0.000
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 4 0.4510 0.43344 0.000 0.432 0.000 0.560 0.008
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0000 0.74757 1.000 0.000 0.000 0.000 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 2 0.4182 0.76198 0.000 0.600 0.000 0.400 0.000
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 5 0.1341 0.79694 0.056 0.000 0.000 0.000 0.944
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.4306 0.71007 0.000 0.508 0.000 0.492 0.000
#> 375FE390-434B-41D3-9029-84065B1D7B6F 4 0.4558 0.10470 0.000 0.324 0.000 0.652 0.024
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 0.74757 1.000 0.000 0.000 0.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 4 0.1197 0.57177 0.000 0.048 0.000 0.952 0.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 4 0.0000 0.62142 0.000 0.000 0.000 1.000 0.000
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.4235 0.77128 0.000 0.576 0.000 0.424 0.000
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.4227 0.77225 0.000 0.580 0.000 0.420 0.000
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 5 0.3048 0.76136 0.176 0.004 0.000 0.000 0.820
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 4 0.0963 0.58731 0.000 0.036 0.000 0.964 0.000
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 4 0.3684 0.31348 0.000 0.280 0.000 0.720 0.000
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 5 0.3756 0.70895 0.248 0.008 0.000 0.000 0.744
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0000 0.99855 0.000 0.000 1.000 0.000 0.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.4779 0.33708 0.628 0.032 0.000 0.000 0.340
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.0000 0.99855 0.000 0.000 1.000 0.000 0.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 4 0.4350 0.45071 0.000 0.408 0.000 0.588 0.004
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.0000 0.99855 0.000 0.000 1.000 0.000 0.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.0000 0.99855 0.000 0.000 1.000 0.000 0.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 5 0.0404 0.79460 0.012 0.000 0.000 0.000 0.988
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 1 0.6467 0.47237 0.468 0.408 0.000 0.024 0.100
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.0000 0.74757 1.000 0.000 0.000 0.000 0.000
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 4 0.2605 0.57964 0.000 0.148 0.000 0.852 0.000
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 5 0.0290 0.79301 0.008 0.000 0.000 0.000 0.992
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.4723 -0.01832 0.536 0.016 0.000 0.000 0.448
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 2 0.4675 -0.03035 0.004 0.544 0.000 0.444 0.008
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 4 0.1270 0.60987 0.000 0.052 0.000 0.948 0.000
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 1 0.6547 0.45707 0.452 0.420 0.000 0.028 0.100
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.0000 0.99855 0.000 0.000 1.000 0.000 0.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.3760 0.63512 0.784 0.028 0.000 0.000 0.188
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 2 0.4227 0.77225 0.000 0.580 0.000 0.420 0.000
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 4 0.3949 0.49632 0.000 0.332 0.000 0.668 0.000
#> 208165C0-229B-49E2-A22A-575CA3157C9E 2 0.4161 0.74771 0.000 0.608 0.000 0.392 0.000
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 1 0.5947 0.53762 0.556 0.312 0.000 0.000 0.132
#> 01397021-8495-4D89-885A-166B4DBA0122 3 0.0000 0.99855 0.000 0.000 1.000 0.000 0.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 3 0.0000 0.99855 0.000 0.000 1.000 0.000 0.000
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.3366 0.67706 0.828 0.032 0.000 0.000 0.140
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#> C3842EA2-E3BC-48DE-9B59-92145AC2F716 3 0.0000 0.99855 0.000 0.000 1.000 0.000 0.000
#> 497FB1B2-A998-44F3-8D69-6974314F941D 4 0.4627 0.42151 0.000 0.444 0.000 0.544 0.012
#> 4BAA88D6-4A88-4D54-9B0E-83365CC85C39 5 0.0290 0.79301 0.008 0.000 0.000 0.000 0.992
#> 7480A3B3-3BF8-4123-8E2E-8C2B52688EC6 2 0.4268 0.75805 0.000 0.556 0.000 0.444 0.000
#> AE3211D1-65C0-46B1-A67F-741C21A7D1C4 2 0.4278 0.75408 0.000 0.548 0.000 0.452 0.000
#> D7244456-CB99-4893-85FE-65082CC4F17C 2 0.4300 0.71164 0.000 0.524 0.000 0.476 0.000
#> C4E0F193-49DC-4A49-84BB-337AAF277145 5 0.3728 0.71296 0.244 0.008 0.000 0.000 0.748
#> E2DF7E97-6BE1-412C-B71D-151B87739653 2 0.4150 0.75025 0.000 0.612 0.000 0.388 0.000
#> 022BCEE2-4794-4D5D-87E5-22CD25FDBA98 4 0.0404 0.61458 0.000 0.012 0.000 0.988 0.000
#> 2AF33CEA-C327-4A31-84D8-C4F26E8A3ECF 1 0.6539 0.46905 0.464 0.408 0.000 0.028 0.100
#> E877B9C0-11C5-4CC8-BAE1-AC210535F3DB 1 0.6539 0.46905 0.464 0.408 0.000 0.028 0.100
#> 0E737E9F-1045-4B86-A290-ED927D5DE7BF 2 0.4242 0.76943 0.000 0.572 0.000 0.428 0.000
#> D1B88E26-3B64-4E1A-8E50-22AD100BD9F9 4 0.4030 0.48232 0.000 0.352 0.000 0.648 0.000
#> 3AEB8943-FE34-4014-B851-BBF83857A794 2 0.4278 0.68766 0.000 0.548 0.000 0.452 0.000
#> BECD727E-E3C1-4C42-9047-D97B7444B20B 4 0.2852 0.51649 0.000 0.172 0.000 0.828 0.000
#> AF866E63-9EA1-4669-B9C4-FC7E877334AE 2 0.4227 0.77225 0.000 0.580 0.000 0.420 0.000
#> F9C8E54A-4CE4-4839-B0CA-58678461EEF1 4 0.0000 0.62142 0.000 0.000 0.000 1.000 0.000
#> AE818BC4-05BF-4E85-A4AD-F3E43DD7D37A 4 0.0510 0.61111 0.000 0.016 0.000 0.984 0.000
#> BA73A860-CADE-408D-8D27-14EADA2B53B0 1 0.6527 0.47935 0.476 0.396 0.000 0.028 0.100
#> 688858C8-48CA-43E9-AE2C-B9D4F80B5EE9 2 0.4273 0.76088 0.000 0.552 0.000 0.448 0.000
#> EB1D52B2-17B3-491E-B484-1235633D6925 2 0.4219 0.77142 0.000 0.584 0.000 0.416 0.000
#> AE261B5D-3881-40B9-8EE7-26B950E0BE16 1 0.3201 0.70849 0.852 0.052 0.000 0.000 0.096
#> 8C9851D5-3091-4DE0-A59E-9122C0CA1CD2 4 0.0162 0.62191 0.000 0.004 0.000 0.996 0.000
#> C8180F95-4E9C-45DB-B959-B47F64167C2D 4 0.5307 0.39804 0.004 0.444 0.000 0.512 0.040
#> 552D3B42-8D22-4B64-B3A2-B3E5D51A8524 4 0.4304 -0.69519 0.000 0.484 0.000 0.516 0.000
#> FED9F364-BC3F-4134-BF4B-4D24B0EB8315 5 0.4770 0.54646 0.320 0.036 0.000 0.000 0.644
#> 7B0D7792-C803-4DD0-B9BF-CB83DA2D199A 1 0.3876 0.62060 0.776 0.032 0.000 0.000 0.192
#> B4F82CBB-A47C-44C3-81AC-CF775FF06FCD 5 0.3700 0.71412 0.240 0.008 0.000 0.000 0.752
#> BFAB10CF-5B24-40F7-92E7-C2E60DD779EF 5 0.0290 0.79301 0.008 0.000 0.000 0.000 0.992
#> E4E259E1-48B2-4C76-B113-E46270742F53 2 0.4268 0.75805 0.000 0.556 0.000 0.444 0.000
#> 81FCBC31-367A-4B1C-A832-B133E4A43738 2 0.7293 -0.51775 0.396 0.412 0.000 0.124 0.068
#> 8690FA0F-9C1C-4D97-813A-3FB56827FBFC 4 0.1608 0.60219 0.000 0.072 0.000 0.928 0.000
#> 9810CF0C-99D1-445B-B1F9-C956D2438495 4 0.2280 0.54374 0.000 0.000 0.120 0.880 0.000
#> 2F5073E1-9EDD-46B5-95E3-8314E2A5B620 5 0.0404 0.79420 0.012 0.000 0.000 0.000 0.988
#> B454F9FB-439A-43B5-877D-752D0F138AB5 4 0.2732 0.36897 0.000 0.160 0.000 0.840 0.000
#> 287F2B71-92F8-4D14-8249-C1BFBB254BE7 1 0.0898 0.74781 0.972 0.020 0.000 0.000 0.008
#> 52DC920F-0AD5-47CE-BD81-31843876B71E 1 0.4223 0.53259 0.724 0.028 0.000 0.000 0.248
#> 6BAC4B1B-C3FC-4A09-9821-232E510E6A47 5 0.4371 0.57751 0.344 0.012 0.000 0.000 0.644
#> A2B87EED-0D8E-4B20-85D3-FD9CC5E2E806 1 0.2648 0.65284 0.848 0.000 0.000 0.000 0.152
#> 43E6DB93-2DA6-4F0F-BF81-0C3869134D2B 1 0.0000 0.74757 1.000 0.000 0.000 0.000 0.000
#> 09A2ED74-A7C7-4DBB-8EDD-C80D0F0AEFDF 5 0.4540 0.58036 0.340 0.020 0.000 0.000 0.640
#> 35EDCB52-D4B5-4305-8A74-95EFE6F2BFB1 5 0.0290 0.79301 0.008 0.000 0.000 0.000 0.992
#> D5D18AF8-9CC2-496C-A83A-31BBA0195CFD 1 0.6639 0.46762 0.464 0.396 0.000 0.028 0.112
#> 03767EDF-2F8A-41DE-8D80-F4BE861225A3 5 0.1547 0.78509 0.016 0.004 0.000 0.032 0.948
#> 586BC656-AD9C-44EF-9ED4-87DEEB5C8AA6 1 0.3055 0.66652 0.840 0.016 0.000 0.000 0.144
#> 23CA1146-CB1B-4054-A4FF-200B87444BF9 1 0.0000 0.74757 1.000 0.000 0.000 0.000 0.000
#> 910E9B6D-E7D5-4C83-A19C-1EEA6E135639 1 0.6510 0.48772 0.488 0.380 0.000 0.024 0.108
#> F36353A3-6CE6-4347-A78B-0AAD8FAB14AD 1 0.0000 0.74757 1.000 0.000 0.000 0.000 0.000
#> 2045736E-7D0F-4B17-B74B-3B12AEE3E68C 1 0.0000 0.74757 1.000 0.000 0.000 0.000 0.000
#> 5EFA2C2D-30B3-4D66-9601-354711F9FC56 3 0.0000 0.99855 0.000 0.000 1.000 0.000 0.000
#> 3FBD381D-84C8-4680-980B-CC4B7924BE06 4 0.4305 -0.69945 0.000 0.488 0.000 0.512 0.000
#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 4 0.4604 0.45743 0.004 0.404 0.000 0.584 0.008
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 5 0.1341 0.79603 0.056 0.000 0.000 0.000 0.944
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 4 0.4201 -0.47576 0.000 0.408 0.000 0.592 0.000
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 4 0.0290 0.61743 0.000 0.008 0.000 0.992 0.000
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 5 0.4420 0.57551 0.280 0.028 0.000 0.000 0.692
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 2 0.4287 0.75388 0.000 0.540 0.000 0.460 0.000
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 4 0.4504 0.43909 0.000 0.428 0.000 0.564 0.008
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 1 0.6369 0.45852 0.520 0.240 0.000 0.000 0.240
#> A3343F40-F977-4F9B-856A-28781F10F4CD 4 0.0162 0.61990 0.000 0.004 0.000 0.996 0.000
#> DA144299-5541-47D7-A59E-C92896DF08FC 1 0.6138 0.46500 0.552 0.176 0.000 0.000 0.272
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 4 0.4161 -0.46640 0.000 0.392 0.000 0.608 0.000
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.0000 0.74757 1.000 0.000 0.000 0.000 0.000
#> 617447CF-9327-4062-B22C-71A8944C948F 2 0.4302 0.71191 0.000 0.520 0.000 0.480 0.000
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0000 0.74757 1.000 0.000 0.000 0.000 0.000
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 4 0.0162 0.62191 0.000 0.004 0.000 0.996 0.000
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.4457 0.67127 0.756 0.152 0.000 0.000 0.092
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 4 0.0162 0.61958 0.000 0.004 0.000 0.996 0.000
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.2127 0.70354 0.892 0.000 0.000 0.000 0.108
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 3 0.0000 0.99855 0.000 0.000 1.000 0.000 0.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 4 0.0162 0.62191 0.000 0.004 0.000 0.996 0.000
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 4 0.3480 0.41393 0.000 0.000 0.248 0.752 0.000
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.1992 0.73813 0.924 0.032 0.000 0.000 0.044
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 5 0.1329 0.78127 0.008 0.004 0.000 0.032 0.956
#> 69365512-8052-4BEA-B60D-9E065DD436BB 4 0.4171 -0.49789 0.000 0.396 0.000 0.604 0.000
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 5 0.3398 0.74122 0.216 0.004 0.000 0.000 0.780
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.2139 0.73269 0.916 0.032 0.000 0.000 0.052
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 4 0.1732 0.57303 0.000 0.000 0.080 0.920 0.000
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 4 0.0000 0.62142 0.000 0.000 0.000 1.000 0.000
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 5 0.3530 0.74694 0.204 0.012 0.000 0.000 0.784
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 5 0.0290 0.79301 0.008 0.000 0.000 0.000 0.992
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.2625 0.70216 0.876 0.016 0.000 0.000 0.108
#> DA1301D3-1F84-46C5-AB44-079493A81A51 5 0.0771 0.79592 0.020 0.004 0.000 0.000 0.976
#> A12B1681-B598-40C3-80FE-1801F3F1189D 5 0.1809 0.79600 0.060 0.012 0.000 0.000 0.928
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 2 0.4196 0.28007 0.000 0.640 0.000 0.356 0.004
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 2 0.7547 -0.24528 0.164 0.432 0.000 0.332 0.072
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.4268 0.75805 0.000 0.556 0.000 0.444 0.000
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 4 0.4030 0.48682 0.000 0.352 0.000 0.648 0.000
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 5 0.1270 0.79602 0.052 0.000 0.000 0.000 0.948
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 4 0.0162 0.62191 0.000 0.004 0.000 0.996 0.000
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 4 0.0162 0.61958 0.000 0.004 0.000 0.996 0.000
#> 1D0379B1-0E99-4E6D-B890-907C92860654 4 0.3949 0.50231 0.000 0.300 0.000 0.696 0.004
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.4297 0.71072 0.000 0.528 0.000 0.472 0.000
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 4 0.4436 0.45835 0.000 0.396 0.000 0.596 0.008
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 4 0.4542 0.43460 0.000 0.456 0.000 0.536 0.008
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.1725 0.73733 0.936 0.020 0.000 0.000 0.044
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 4 0.3966 -0.28731 0.000 0.336 0.000 0.664 0.000
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.4907 -0.14080 0.488 0.024 0.000 0.000 0.488
#> ECC40A03-488E-4076-8A3A-234D968623AD 4 0.0404 0.62131 0.000 0.012 0.000 0.988 0.000
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.3579 0.57391 0.756 0.004 0.000 0.000 0.240
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.4306 0.71007 0.000 0.508 0.000 0.492 0.000
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 5 0.0290 0.79301 0.008 0.000 0.000 0.000 0.992
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.4306 0.71007 0.000 0.508 0.000 0.492 0.000
#> AC376BBB-667B-4469-B567-9BE18DE0F811 5 0.4315 0.66688 0.276 0.024 0.000 0.000 0.700
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 4 0.0162 0.61990 0.000 0.004 0.000 0.996 0.000
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.74757 1.000 0.000 0.000 0.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.74757 1.000 0.000 0.000 0.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 4 0.0794 0.60656 0.000 0.028 0.000 0.972 0.000
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 5 0.5124 0.53247 0.288 0.068 0.000 0.000 0.644
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.4278 0.70052 0.000 0.548 0.000 0.452 0.000
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.99855 0.000 0.000 1.000 0.000 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 4 0.0290 0.61743 0.000 0.008 0.000 0.992 0.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 4 0.0000 0.62142 0.000 0.000 0.000 1.000 0.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 1 0.6527 0.47935 0.476 0.396 0.000 0.028 0.100
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.4262 0.76159 0.000 0.560 0.000 0.440 0.000
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 4 0.0162 0.62191 0.000 0.004 0.000 0.996 0.000
#> 479A968D-4692-404B-A866-B74E7DD17995 4 0.0404 0.61973 0.000 0.012 0.000 0.988 0.000
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 4 0.4262 -0.45346 0.000 0.440 0.000 0.560 0.000
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.74757 1.000 0.000 0.000 0.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.74757 1.000 0.000 0.000 0.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 5 0.4953 0.31513 0.440 0.028 0.000 0.000 0.532
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0290 0.74667 0.992 0.000 0.000 0.000 0.008
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.4256 0.76471 0.000 0.564 0.000 0.436 0.000
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.4262 0.76600 0.000 0.560 0.000 0.440 0.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.2595 0.72124 0.888 0.032 0.000 0.000 0.080
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.4268 0.75805 0.000 0.556 0.000 0.444 0.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 5 0.4798 0.33510 0.440 0.020 0.000 0.000 0.540
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 5 0.4961 0.26606 0.448 0.028 0.000 0.000 0.524
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.99855 0.000 0.000 1.000 0.000 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 5 0.3010 0.77035 0.172 0.004 0.000 0.000 0.824
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.812811 1.000 0.000 0.000 0.000 0.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.993908 0.000 0.000 1.000 0.000 0.000 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 5 0.3819 0.730978 0.040 0.000 0.000 0.200 0.756 0.004
#> 85252141-5469-4F68-8F3F-934F8B3277E5 4 0.2630 0.708927 0.096 0.008 0.000 0.876 0.012 0.008
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 5 0.2666 0.749783 0.028 0.000 0.000 0.092 0.872 0.008
#> 1B76089D-785F-4353-A898-4E632023D482 5 0.5063 0.691551 0.040 0.000 0.000 0.264 0.648 0.048
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 4 0.3566 0.585432 0.000 0.236 0.000 0.744 0.000 0.020
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 6 0.6128 -0.037418 0.000 0.316 0.000 0.340 0.000 0.344
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 5 0.2395 0.738174 0.020 0.000 0.000 0.076 0.892 0.012
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 4 0.4569 0.519348 0.084 0.004 0.000 0.708 0.200 0.004
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 4 0.5017 0.464899 0.120 0.000 0.000 0.668 0.200 0.012
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 2 0.2692 0.637094 0.000 0.840 0.000 0.012 0.000 0.148
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.812811 1.000 0.000 0.000 0.000 0.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 2 0.0777 0.747170 0.000 0.972 0.000 0.004 0.000 0.024
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 4 0.3200 0.637304 0.000 0.196 0.000 0.788 0.000 0.016
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.0508 0.754227 0.000 0.984 0.000 0.012 0.000 0.004
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0862 0.808293 0.972 0.000 0.000 0.016 0.008 0.004
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0291 0.812750 0.992 0.000 0.000 0.004 0.004 0.000
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#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 5 0.2318 0.713545 0.000 0.000 0.000 0.064 0.892 0.044
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.6231 0.413329 0.552 0.000 0.000 0.148 0.244 0.056
#> DA1301D3-1F84-46C5-AB44-079493A81A51 5 0.2322 0.726329 0.004 0.000 0.000 0.064 0.896 0.036
#> A12B1681-B598-40C3-80FE-1801F3F1189D 5 0.1806 0.745130 0.020 0.000 0.000 0.044 0.928 0.008
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 6 0.5393 0.575685 0.000 0.160 0.000 0.240 0.004 0.596
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 4 0.3256 0.704033 0.048 0.096 0.000 0.840 0.000 0.016
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 6 0.3714 0.631589 0.000 0.340 0.000 0.004 0.000 0.656
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.5916 0.253793 0.000 0.460 0.000 0.304 0.000 0.236
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 5 0.1719 0.740916 0.004 0.000 0.000 0.032 0.932 0.032
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.1049 0.751523 0.000 0.960 0.000 0.032 0.000 0.008
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.0862 0.750498 0.000 0.972 0.008 0.004 0.000 0.016
#> 1D0379B1-0E99-4E6D-B890-907C92860654 2 0.5758 0.272450 0.000 0.476 0.000 0.340 0.000 0.184
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 6 0.4543 0.586941 0.000 0.384 0.000 0.040 0.000 0.576
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 2 0.5945 0.042883 0.000 0.396 0.000 0.388 0.000 0.216
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 2 0.5223 0.249578 0.000 0.540 0.000 0.356 0.000 0.104
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.5626 0.543721 0.636 0.000 0.000 0.136 0.184 0.044
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.3457 0.445104 0.000 0.752 0.000 0.016 0.000 0.232
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 5 0.5514 0.655231 0.112 0.000 0.000 0.244 0.616 0.028
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.2630 0.710256 0.000 0.872 0.000 0.064 0.000 0.064
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.5465 0.452226 0.612 0.000 0.000 0.076 0.272 0.040
#> D3B955AA-F27A-483A-9314-75277253EE6F 6 0.4343 0.601483 0.000 0.380 0.000 0.028 0.000 0.592
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 5 0.2129 0.718609 0.000 0.000 0.000 0.056 0.904 0.040
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 6 0.3978 0.725668 0.000 0.268 0.000 0.032 0.000 0.700
#> AC376BBB-667B-4469-B567-9BE18DE0F811 5 0.4981 0.690649 0.028 0.000 0.000 0.276 0.644 0.052
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.1088 0.753829 0.000 0.960 0.000 0.016 0.000 0.024
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.812811 1.000 0.000 0.000 0.000 0.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.812811 1.000 0.000 0.000 0.000 0.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.0909 0.754303 0.000 0.968 0.000 0.020 0.000 0.012
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 5 0.5227 0.590545 0.052 0.000 0.000 0.340 0.580 0.028
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 6 0.5163 0.622298 0.000 0.276 0.000 0.112 0.004 0.608
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.993908 0.000 0.000 1.000 0.000 0.000 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 2 0.0862 0.750498 0.000 0.972 0.008 0.004 0.000 0.016
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 2 0.0520 0.753253 0.000 0.984 0.008 0.000 0.000 0.008
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 4 0.2504 0.705451 0.104 0.004 0.000 0.876 0.012 0.004
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 6 0.3394 0.732670 0.000 0.236 0.000 0.012 0.000 0.752
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.0891 0.751668 0.000 0.968 0.000 0.024 0.000 0.008
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.0508 0.754227 0.000 0.984 0.000 0.012 0.000 0.004
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 6 0.5592 0.393671 0.000 0.376 0.000 0.128 0.004 0.492
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.812811 1.000 0.000 0.000 0.000 0.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0363 0.811210 0.988 0.000 0.000 0.012 0.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 5 0.5655 0.658105 0.084 0.000 0.000 0.268 0.600 0.048
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.1230 0.799417 0.956 0.000 0.000 0.028 0.008 0.008
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 6 0.3259 0.742018 0.000 0.216 0.000 0.012 0.000 0.772
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 6 0.2527 0.785207 0.000 0.168 0.000 0.000 0.000 0.832
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.6545 0.336170 0.504 0.000 0.000 0.212 0.228 0.056
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 6 0.3534 0.701069 0.000 0.276 0.000 0.008 0.000 0.716
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 5 0.5610 0.666414 0.080 0.000 0.000 0.268 0.604 0.048
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 5 0.5223 0.674772 0.088 0.000 0.000 0.236 0.648 0.028
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.993908 0.000 0.000 1.000 0.000 0.000 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 5 0.3699 0.747862 0.040 0.000 0.000 0.160 0.788 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["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 17654 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'MAD' method.
#> Subgroups are detected by 'NMF' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.966 0.949 0.980 0.5009 0.499 0.499
#> 3 3 0.815 0.851 0.935 0.2981 0.773 0.577
#> 4 4 0.890 0.880 0.947 0.1315 0.843 0.592
#> 5 5 0.764 0.693 0.848 0.0588 0.918 0.711
#> 6 6 0.782 0.754 0.867 0.0296 0.928 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
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.9722 1.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 2 0.0000 0.9852 0.000 1.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.0000 0.9722 1.000 0.000
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.0000 0.9722 1.000 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.0000 0.9722 1.000 0.000
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.0000 0.9722 1.000 0.000
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 1 0.6343 0.8057 0.840 0.160
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 2 0.8608 0.5915 0.284 0.716
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.0000 0.9722 1.000 0.000
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 1 0.0000 0.9722 1.000 0.000
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.0000 0.9722 1.000 0.000
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 2 0.0000 0.9852 0.000 1.000
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.9722 1.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 2 0.0000 0.9852 0.000 1.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 1 0.0000 0.9722 1.000 0.000
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.0000 0.9852 0.000 1.000
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0000 0.9722 1.000 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.9722 1.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 1 0.0000 0.9722 1.000 0.000
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0000 0.9722 1.000 0.000
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 1 0.0938 0.9625 0.988 0.012
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.0000 0.9852 0.000 1.000
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 1 0.7219 0.7516 0.800 0.200
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0000 0.9722 1.000 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 2 0.0672 0.9779 0.008 0.992
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 1 0.0000 0.9722 1.000 0.000
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.0000 0.9852 0.000 1.000
#> 375FE390-434B-41D3-9029-84065B1D7B6F 2 0.0000 0.9852 0.000 1.000
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 0.9722 1.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.0000 0.9852 0.000 1.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.0000 0.9852 0.000 1.000
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.0000 0.9852 0.000 1.000
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.0000 0.9852 0.000 1.000
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.0000 0.9722 1.000 0.000
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 2 0.0000 0.9852 0.000 1.000
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 1 0.8207 0.6641 0.744 0.256
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 1 0.0000 0.9722 1.000 0.000
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 2 0.0000 0.9852 0.000 1.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.0000 0.9722 1.000 0.000
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 2 0.0000 0.9852 0.000 1.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 2 0.6801 0.7722 0.180 0.820
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 2 0.0000 0.9852 0.000 1.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 2 0.0000 0.9852 0.000 1.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 1 0.0000 0.9722 1.000 0.000
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 1 0.0000 0.9722 1.000 0.000
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.0000 0.9722 1.000 0.000
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 2 0.0000 0.9852 0.000 1.000
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 1 0.0000 0.9722 1.000 0.000
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.0000 0.9722 1.000 0.000
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 2 0.0000 0.9852 0.000 1.000
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.0000 0.9852 0.000 1.000
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 1 0.0000 0.9722 1.000 0.000
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 2 0.0000 0.9852 0.000 1.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.0000 0.9722 1.000 0.000
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 2 0.0000 0.9852 0.000 1.000
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 2 0.0000 0.9852 0.000 1.000
#> 208165C0-229B-49E2-A22A-575CA3157C9E 2 0.0000 0.9852 0.000 1.000
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 1 0.0000 0.9722 1.000 0.000
#> 01397021-8495-4D89-885A-166B4DBA0122 2 0.0000 0.9852 0.000 1.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 2 0.0000 0.9852 0.000 1.000
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.0000 0.9722 1.000 0.000
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 2 0.0000 0.9852 0.000 1.000
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 2 0.0000 0.9852 0.000 1.000
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 2 0.0000 0.9852 0.000 1.000
#> AA569A06-0F37-4492-93F3-60A4539A3E82 2 0.0000 0.9852 0.000 1.000
#> BC53FB75-94CA-48C3-875B-5987037D186F 2 0.0000 0.9852 0.000 1.000
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 1 0.0000 0.9722 1.000 0.000
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 2 0.0000 0.9852 0.000 1.000
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 2 0.0000 0.9852 0.000 1.000
#> DF67F589-A607-4B95-96B8-4BB344132312 2 0.0000 0.9852 0.000 1.000
#> A65233E6-C146-4ACF-8DDE-5FB12D8D9637 2 0.0000 0.9852 0.000 1.000
#> 7578C9A3-FFF8-45C4-AC28-1C6141A9A2AD 1 0.0000 0.9722 1.000 0.000
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#> A12B1681-B598-40C3-80FE-1801F3F1189D 1 0.0000 0.9722 1.000 0.000
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 2 0.0000 0.9852 0.000 1.000
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 1 0.0000 0.9722 1.000 0.000
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.0000 0.9852 0.000 1.000
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.0376 0.9816 0.004 0.996
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 1 0.0000 0.9722 1.000 0.000
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.0000 0.9852 0.000 1.000
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.0000 0.9852 0.000 1.000
#> 1D0379B1-0E99-4E6D-B890-907C92860654 2 0.0000 0.9852 0.000 1.000
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.0000 0.9852 0.000 1.000
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 2 0.9993 0.0292 0.484 0.516
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 2 0.0000 0.9852 0.000 1.000
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0000 0.9722 1.000 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.0000 0.9852 0.000 1.000
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.0000 0.9722 1.000 0.000
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.0000 0.9852 0.000 1.000
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0000 0.9722 1.000 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.0000 0.9852 0.000 1.000
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 1 0.1184 0.9590 0.984 0.016
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.0000 0.9852 0.000 1.000
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.0000 0.9722 1.000 0.000
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.0000 0.9852 0.000 1.000
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.9722 1.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.9722 1.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.0000 0.9852 0.000 1.000
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.0938 0.9625 0.988 0.012
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.0000 0.9852 0.000 1.000
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 2 0.0000 0.9852 0.000 1.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 2 0.0000 0.9852 0.000 1.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 2 0.0000 0.9852 0.000 1.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 1 0.0000 0.9722 1.000 0.000
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.0000 0.9852 0.000 1.000
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.0000 0.9852 0.000 1.000
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.0000 0.9852 0.000 1.000
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.0000 0.9852 0.000 1.000
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.9722 1.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.9722 1.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.0000 0.9722 1.000 0.000
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0000 0.9722 1.000 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.0000 0.9852 0.000 1.000
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.0000 0.9852 0.000 1.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0000 0.9722 1.000 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.0000 0.9852 0.000 1.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.0000 0.9722 1.000 0.000
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.0000 0.9722 1.000 0.000
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 2 0.0000 0.9852 0.000 1.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.0000 0.9722 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.9701 1.000 0.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0424 0.8639 0.000 0.008 0.992
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.0237 0.9681 0.996 0.000 0.004
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.0000 0.9701 1.000 0.000 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.0237 0.9681 0.996 0.000 0.004
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.0000 0.9701 1.000 0.000 0.000
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 2 0.0424 0.9059 0.008 0.992 0.000
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 2 0.0000 0.9100 0.000 1.000 0.000
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.0000 0.9701 1.000 0.000 0.000
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 1 0.4834 0.7283 0.792 0.204 0.004
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.0661 0.9630 0.988 0.008 0.004
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 3 0.0237 0.8640 0.000 0.004 0.996
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.9701 1.000 0.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 3 0.0592 0.8628 0.000 0.012 0.988
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 2 0.1163 0.8896 0.028 0.972 0.000
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.3879 0.7804 0.000 0.848 0.152
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0000 0.9701 1.000 0.000 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.9701 1.000 0.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 1 0.0237 0.9681 0.996 0.000 0.004
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0000 0.9701 1.000 0.000 0.000
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 1 0.4931 0.7174 0.784 0.212 0.004
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.6286 0.1912 0.000 0.536 0.464
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 2 0.0237 0.9081 0.004 0.996 0.000
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0000 0.9701 1.000 0.000 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 3 0.5178 0.6832 0.000 0.256 0.744
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 1 0.0848 0.9607 0.984 0.008 0.008
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.0237 0.9090 0.000 0.996 0.004
#> 375FE390-434B-41D3-9029-84065B1D7B6F 2 0.0475 0.9065 0.004 0.992 0.004
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 0.9701 1.000 0.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.3340 0.8249 0.000 0.880 0.120
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.0424 0.9074 0.000 0.992 0.008
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 3 0.4654 0.7382 0.000 0.208 0.792
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 3 0.6305 0.1829 0.000 0.484 0.516
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.0000 0.9701 1.000 0.000 0.000
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 3 0.1163 0.8571 0.000 0.028 0.972
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 2 0.0424 0.9059 0.008 0.992 0.000
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 1 0.0000 0.9701 1.000 0.000 0.000
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0237 0.8640 0.000 0.004 0.996
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.0000 0.9701 1.000 0.000 0.000
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.0424 0.8639 0.000 0.008 0.992
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 2 0.0000 0.9100 0.000 1.000 0.000
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.0424 0.8639 0.000 0.008 0.992
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.0237 0.8640 0.000 0.004 0.996
#> 906CBD77-BD00-4199-B56C-E525C9509442 1 0.0000 0.9701 1.000 0.000 0.000
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 1 0.3686 0.8174 0.860 0.140 0.000
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.0000 0.9701 1.000 0.000 0.000
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 2 0.0000 0.9100 0.000 1.000 0.000
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 1 0.0237 0.9681 0.996 0.000 0.004
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.0000 0.9701 1.000 0.000 0.000
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 2 0.5591 0.5187 0.000 0.696 0.304
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.0237 0.9090 0.000 0.996 0.004
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 2 0.2066 0.8577 0.060 0.940 0.000
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.0237 0.8640 0.000 0.004 0.996
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.0000 0.9701 1.000 0.000 0.000
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 3 0.4654 0.7382 0.000 0.208 0.792
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 2 0.0000 0.9100 0.000 1.000 0.000
#> 208165C0-229B-49E2-A22A-575CA3157C9E 2 0.0237 0.9082 0.000 0.996 0.004
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 1 0.0000 0.9701 1.000 0.000 0.000
#> 01397021-8495-4D89-885A-166B4DBA0122 3 0.0237 0.8640 0.000 0.004 0.996
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 3 0.0237 0.8640 0.000 0.004 0.996
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.0000 0.9701 1.000 0.000 0.000
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 2 0.0000 0.9100 0.000 1.000 0.000
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 3 0.1643 0.8498 0.000 0.044 0.956
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 3 0.0424 0.8639 0.000 0.008 0.992
#> AA569A06-0F37-4492-93F3-60A4539A3E82 2 0.0000 0.9100 0.000 1.000 0.000
#> BC53FB75-94CA-48C3-875B-5987037D186F 3 0.5363 0.6742 0.000 0.276 0.724
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 1 0.0000 0.9701 1.000 0.000 0.000
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 3 0.4654 0.7382 0.000 0.208 0.792
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 2 0.0000 0.9100 0.000 1.000 0.000
#> DF67F589-A607-4B95-96B8-4BB344132312 3 0.5327 0.6681 0.000 0.272 0.728
#> A65233E6-C146-4ACF-8DDE-5FB12D8D9637 3 0.0237 0.8640 0.000 0.004 0.996
#> 7578C9A3-FFF8-45C4-AC28-1C6141A9A2AD 1 0.0000 0.9701 1.000 0.000 0.000
#> 4DF775B9-E2FE-4F5E-8329-C37E21C5D10E 3 0.6672 0.1437 0.472 0.008 0.520
#> 5E6B86C6-3D79-47BB-9FAF-CA22659CFEA7 1 0.0237 0.9681 0.996 0.000 0.004
#> 53286128-668B-47EA-9A5F-D768FDCCBE88 1 0.0000 0.9701 1.000 0.000 0.000
#> 01C9F351-97FE-4037-A879-9D96A3DD3FBB 3 0.2165 0.8392 0.000 0.064 0.936
#> 5487DB21-6A58-46AC-A2A1-E343082D41D8 1 0.0000 0.9701 1.000 0.000 0.000
#> 0FB3E997-4E31-4FA6-9654-11C3C0AF8D86 2 0.0237 0.9090 0.000 0.996 0.004
#> A0706E80-FDF9-4721-BEB4-90527F6D38C4 2 0.3816 0.7848 0.000 0.852 0.148
#> 5260226E-1826-4F54-8237-28993DD2EF04 3 0.0237 0.8640 0.000 0.004 0.996
#> F53F71A7-A399-49AB-8657-019C5C56F48C 3 0.4654 0.7382 0.000 0.208 0.792
#> 008159F2-5247-479A-8BFE-C394888D0B74 2 0.0000 0.9100 0.000 1.000 0.000
#> 9E6BA6FB-35F2-4510-94AE-3E7CDFED3D47 3 0.0237 0.8640 0.000 0.004 0.996
#> F12BE7AC-D2DD-4AD1-AB37-32DC85954F59 2 0.6307 0.0464 0.488 0.512 0.000
#> 38A6BA1F-B444-4155-A168-EC2DF0EE0785 1 0.0000 0.9701 1.000 0.000 0.000
#> B107D1DE-EE52-4E89-B75A-91124BFF99AE 3 0.0237 0.8640 0.000 0.004 0.996
#> D4D16D09-8895-4BEA-ABF7-F11C5D5BDCAA 1 0.0000 0.9701 1.000 0.000 0.000
#> 9A53C473-1364-4BB6-AD36-EF53E0208450 1 0.0000 0.9701 1.000 0.000 0.000
#> F00C0ED6-C811-4F32-BDB4-4ACA7861DC7D 2 0.0592 0.9055 0.000 0.988 0.012
#> 72618985-CD49-4B6F-8CB0-5EE590FAD09A 2 0.0237 0.9082 0.000 0.996 0.004
#> 978A315F-CCE9-4D03-A680-C0AD60B10557 2 0.0237 0.9090 0.000 0.996 0.004
#> B6EACAED-3944-4510-B685-0BB8D1651D4F 1 0.0000 0.9701 1.000 0.000 0.000
#> EBCF16B4-A804-45EB-8253-0F28A2645729 3 0.6291 0.1674 0.468 0.000 0.532
#> 637DC441-4A75-4DA8-8F65-91FDB5F103C7 3 0.4178 0.7419 0.172 0.000 0.828
#> 89F67654-A246-4307-9B17-4A1C01DB1AED 2 0.0424 0.9074 0.000 0.992 0.008
#> 3A8EB57B-71ED-4169-A8EB-624C67CDBBE1 2 0.2625 0.8510 0.000 0.916 0.084
#> CC4DA9C6-CAB2-44FF-8219-D293ECD07DD4 1 0.6075 0.5021 0.676 0.008 0.316
#> AEC4FDAA-8F60-43CE-8EBB-5629FA662F16 2 0.0000 0.9100 0.000 1.000 0.000
#> BFC0D795-64F4-48B3-AD08-8C564E5E5367 1 0.0000 0.9701 1.000 0.000 0.000
#> 907BBBA4-4E7B-4808-892E-F80525C3CFA3 1 0.6359 0.3098 0.592 0.404 0.004
#> 7F21FA19-1468-4A65-A10A-A9727218A5EF 1 0.0000 0.9701 1.000 0.000 0.000
#> 905A026A-0B13-4AD3-B2BB-9A5AE76920AF 2 0.0237 0.9081 0.004 0.996 0.000
#> 6DDFC760-7BED-4A68-8DDA-9453D0FC9C1D 1 0.0000 0.9701 1.000 0.000 0.000
#> B3AFF323-BAAD-4512-A837-20C430EA39D1 1 0.0000 0.9701 1.000 0.000 0.000
#> 193E9034-42A2-4701-AA3E-2E852CA5C043 1 0.0000 0.9701 1.000 0.000 0.000
#> 8B6127D5-D3BB-4E17-914C-3ED1E2A52078 2 0.0424 0.9074 0.000 0.992 0.008
#> BD6E5E3C-DC43-4A85-84DF-84C68ABB851A 2 0.0000 0.9100 0.000 1.000 0.000
#> 881EACBD-B314-4A9E-A6DE-58DF9466AFB3 2 0.0592 0.9032 0.012 0.988 0.000
#> 195A6DF6-437D-4964-8872-C44F13E2CA4C 2 0.4750 0.6773 0.000 0.784 0.216
#> C40FD0B3-4773-490D-A342-B1CE8CC0A5BD 1 0.0000 0.9701 1.000 0.000 0.000
#> 613454BF-1A66-4DBB-90D0-246FC212DA4A 3 0.6008 0.5131 0.332 0.004 0.664
#> 5F121320-0F61-4BC0-BB69-F5C9A93BC118 1 0.0000 0.9701 1.000 0.000 0.000
#> E5637874-962B-4C43-8339-A6625D754DA8 2 0.1643 0.8782 0.044 0.956 0.000
#> 7614BF19-E3A2-492A-ABC0-557B274CA326 1 0.0000 0.9701 1.000 0.000 0.000
#> 6EB070B1-45C3-46DB-BFF9-6D9A137EC3A8 2 0.0747 0.9001 0.016 0.984 0.000
#> 873EEA1A-8AA1-4C83-B001-7BD64343ADE1 1 0.0000 0.9701 1.000 0.000 0.000
#> 2DCF0812-AC29-4BC2-8929-4D3D7B0F6335 2 0.0000 0.9100 0.000 1.000 0.000
#> 9391B623-4EC1-43A2-85EC-7B80BE87827D 1 0.0000 0.9701 1.000 0.000 0.000
#> 32A000F1-BAEA-41D2-AC75-02255A5BF2F2 2 0.0237 0.9090 0.000 0.996 0.004
#> 9C1016CE-3EAB-4FA7-806B-C8F6B08B4EA1 1 0.4654 0.7246 0.792 0.208 0.000
#> C7C4E75E-887F-4D11-9FDC-32292895A6B3 3 0.4931 0.7130 0.000 0.232 0.768
#> 54739A62-512F-499F-AFE1-B7C631B35272 1 0.0000 0.9701 1.000 0.000 0.000
#> 4476DF0E-6BB4-4682-BF59-E61071D4184E 1 0.0424 0.9656 0.992 0.000 0.008
#> DCCC6566-8A72-411D-B8F0-CC92B6D973AF 2 0.0747 0.9032 0.000 0.984 0.016
#> 781AEC2C-2604-4DAA-A55C-D07A305AF32E 3 0.0000 0.8621 0.000 0.000 1.000
#> CB6BBA89-F467-4E0E-9DD1-04631E23D18C 3 0.6527 0.3494 0.404 0.008 0.588
#> 42E0E49F-0F6A-4787-87E8-E5CEA94822F9 3 0.4654 0.7382 0.000 0.208 0.792
#> B6466D8A-6CD3-4C90-B1FC-72EBDD93AE47 2 0.1289 0.8859 0.032 0.968 0.000
#> EEBC342F-80C7-428B-A69C-35962A8A0251 2 0.0000 0.9100 0.000 1.000 0.000
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#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0237 0.8640 0.000 0.004 0.996
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 3 0.1643 0.8498 0.000 0.044 0.956
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.1031 0.8586 0.000 0.024 0.976
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 1 0.4062 0.7851 0.836 0.164 0.000
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 3 0.4178 0.7690 0.000 0.172 0.828
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.4654 0.7128 0.000 0.792 0.208
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.4235 0.7527 0.000 0.824 0.176
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.0000 0.9100 0.000 1.000 0.000
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.9701 1.000 0.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.9701 1.000 0.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.0237 0.9681 0.996 0.000 0.004
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0000 0.9701 1.000 0.000 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.5216 0.6008 0.000 0.740 0.260
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.0000 0.9100 0.000 1.000 0.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0000 0.9701 1.000 0.000 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.3267 0.8178 0.000 0.884 0.116
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.0000 0.9701 1.000 0.000 0.000
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.0000 0.9701 1.000 0.000 0.000
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0237 0.8640 0.000 0.004 0.996
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.0237 0.9681 0.996 0.000 0.004
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.9631 1.000 0.000 0.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.9550 0.000 0.000 1.000 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.4907 0.1977 0.580 0.000 0.000 0.420
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.0000 0.9631 1.000 0.000 0.000 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 4 0.1716 0.8674 0.064 0.000 0.000 0.936
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.0188 0.9617 0.996 0.000 0.000 0.004
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 2 0.0000 0.9484 0.000 1.000 0.000 0.000
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 2 0.1022 0.9314 0.000 0.968 0.000 0.032
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.0336 0.9592 0.992 0.000 0.000 0.008
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 4 0.0188 0.8867 0.004 0.000 0.000 0.996
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 4 0.4250 0.6379 0.276 0.000 0.000 0.724
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 3 0.0000 0.9550 0.000 0.000 1.000 0.000
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.9631 1.000 0.000 0.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 3 0.0000 0.9550 0.000 0.000 1.000 0.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 2 0.0188 0.9470 0.000 0.996 0.000 0.004
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.0921 0.9307 0.000 0.972 0.028 0.000
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0000 0.9631 1.000 0.000 0.000 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.9631 1.000 0.000 0.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 1 0.2281 0.8676 0.904 0.000 0.000 0.096
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0188 0.9617 0.996 0.000 0.000 0.004
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 4 0.0000 0.8865 0.000 0.000 0.000 1.000
#> 83453F80-8A68-4A3C-995D-85CFB1011249 3 0.4431 0.5705 0.000 0.304 0.696 0.000
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 2 0.0000 0.9484 0.000 1.000 0.000 0.000
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0000 0.9631 1.000 0.000 0.000 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 4 0.0000 0.8865 0.000 0.000 0.000 1.000
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 4 0.0469 0.8864 0.012 0.000 0.000 0.988
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.0000 0.9484 0.000 1.000 0.000 0.000
#> 375FE390-434B-41D3-9029-84065B1D7B6F 4 0.1940 0.8563 0.000 0.076 0.000 0.924
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 0.9631 1.000 0.000 0.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 3 0.3726 0.7327 0.000 0.212 0.788 0.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.0000 0.9484 0.000 1.000 0.000 0.000
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 4 0.0657 0.8859 0.000 0.004 0.012 0.984
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 4 0.0657 0.8864 0.000 0.012 0.004 0.984
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.0188 0.9617 0.996 0.000 0.000 0.004
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 3 0.0188 0.9528 0.000 0.004 0.996 0.000
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 2 0.1637 0.9092 0.000 0.940 0.000 0.060
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 1 0.0188 0.9617 0.996 0.000 0.000 0.004
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0000 0.9550 0.000 0.000 1.000 0.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.0000 0.9631 1.000 0.000 0.000 0.000
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.0000 0.9550 0.000 0.000 1.000 0.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 2 0.0000 0.9484 0.000 1.000 0.000 0.000
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.0000 0.9550 0.000 0.000 1.000 0.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.0000 0.9550 0.000 0.000 1.000 0.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 1 0.0000 0.9631 1.000 0.000 0.000 0.000
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 4 0.2546 0.8466 0.092 0.008 0.000 0.900
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.0000 0.9631 1.000 0.000 0.000 0.000
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 2 0.0000 0.9484 0.000 1.000 0.000 0.000
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 1 0.0188 0.9617 0.996 0.000 0.000 0.004
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.0188 0.9617 0.996 0.000 0.000 0.004
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 4 0.0188 0.8867 0.000 0.004 0.000 0.996
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.0000 0.9484 0.000 1.000 0.000 0.000
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 2 0.3401 0.7739 0.152 0.840 0.000 0.008
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.0000 0.9550 0.000 0.000 1.000 0.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.0000 0.9631 1.000 0.000 0.000 0.000
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 4 0.0336 0.8859 0.000 0.000 0.008 0.992
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 2 0.0000 0.9484 0.000 1.000 0.000 0.000
#> 208165C0-229B-49E2-A22A-575CA3157C9E 4 0.1118 0.8795 0.000 0.036 0.000 0.964
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 1 0.0000 0.9631 1.000 0.000 0.000 0.000
#> 01397021-8495-4D89-885A-166B4DBA0122 3 0.0000 0.9550 0.000 0.000 1.000 0.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 3 0.0000 0.9550 0.000 0.000 1.000 0.000
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.0000 0.9631 1.000 0.000 0.000 0.000
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 2 0.0000 0.9484 0.000 1.000 0.000 0.000
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 3 0.0188 0.9528 0.000 0.004 0.996 0.000
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 3 0.0000 0.9550 0.000 0.000 1.000 0.000
#> AA569A06-0F37-4492-93F3-60A4539A3E82 2 0.1389 0.9202 0.000 0.952 0.000 0.048
#> BC53FB75-94CA-48C3-875B-5987037D186F 4 0.4894 0.7510 0.000 0.100 0.120 0.780
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 1 0.0000 0.9631 1.000 0.000 0.000 0.000
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 4 0.0895 0.8840 0.000 0.004 0.020 0.976
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 2 0.0469 0.9438 0.000 0.988 0.000 0.012
#> DF67F589-A607-4B95-96B8-4BB344132312 3 0.0921 0.9327 0.000 0.028 0.972 0.000
#> A65233E6-C146-4ACF-8DDE-5FB12D8D9637 3 0.0000 0.9550 0.000 0.000 1.000 0.000
#> 7578C9A3-FFF8-45C4-AC28-1C6141A9A2AD 1 0.0000 0.9631 1.000 0.000 0.000 0.000
#> 4DF775B9-E2FE-4F5E-8329-C37E21C5D10E 4 0.0469 0.8854 0.000 0.000 0.012 0.988
#> 5E6B86C6-3D79-47BB-9FAF-CA22659CFEA7 4 0.2921 0.8120 0.140 0.000 0.000 0.860
#> 53286128-668B-47EA-9A5F-D768FDCCBE88 1 0.0188 0.9607 0.996 0.000 0.000 0.004
#> 01C9F351-97FE-4037-A879-9D96A3DD3FBB 3 0.0188 0.9528 0.000 0.004 0.996 0.000
#> 5487DB21-6A58-46AC-A2A1-E343082D41D8 1 0.0188 0.9617 0.996 0.000 0.000 0.004
#> 0FB3E997-4E31-4FA6-9654-11C3C0AF8D86 2 0.0000 0.9484 0.000 1.000 0.000 0.000
#> A0706E80-FDF9-4721-BEB4-90527F6D38C4 2 0.0469 0.9423 0.000 0.988 0.012 0.000
#> 5260226E-1826-4F54-8237-28993DD2EF04 3 0.0000 0.9550 0.000 0.000 1.000 0.000
#> F53F71A7-A399-49AB-8657-019C5C56F48C 4 0.0188 0.8864 0.000 0.000 0.004 0.996
#> 008159F2-5247-479A-8BFE-C394888D0B74 2 0.0000 0.9484 0.000 1.000 0.000 0.000
#> 9E6BA6FB-35F2-4510-94AE-3E7CDFED3D47 3 0.0000 0.9550 0.000 0.000 1.000 0.000
#> F12BE7AC-D2DD-4AD1-AB37-32DC85954F59 2 0.2871 0.8738 0.032 0.896 0.000 0.072
#> 38A6BA1F-B444-4155-A168-EC2DF0EE0785 1 0.2704 0.8397 0.876 0.000 0.000 0.124
#> B107D1DE-EE52-4E89-B75A-91124BFF99AE 3 0.0000 0.9550 0.000 0.000 1.000 0.000
#> D4D16D09-8895-4BEA-ABF7-F11C5D5BDCAA 1 0.0188 0.9617 0.996 0.000 0.000 0.004
#> 9A53C473-1364-4BB6-AD36-EF53E0208450 1 0.0000 0.9631 1.000 0.000 0.000 0.000
#> F00C0ED6-C811-4F32-BDB4-4ACA7861DC7D 2 0.0188 0.9468 0.000 0.996 0.004 0.000
#> 72618985-CD49-4B6F-8CB0-5EE590FAD09A 4 0.1118 0.8795 0.000 0.036 0.000 0.964
#> 978A315F-CCE9-4D03-A680-C0AD60B10557 2 0.0000 0.9484 0.000 1.000 0.000 0.000
#> B6EACAED-3944-4510-B685-0BB8D1651D4F 1 0.0188 0.9617 0.996 0.000 0.000 0.004
#> EBCF16B4-A804-45EB-8253-0F28A2645729 4 0.4214 0.7439 0.204 0.000 0.016 0.780
#> 637DC441-4A75-4DA8-8F65-91FDB5F103C7 3 0.1109 0.9231 0.028 0.000 0.968 0.004
#> 89F67654-A246-4307-9B17-4A1C01DB1AED 2 0.0000 0.9484 0.000 1.000 0.000 0.000
#> 3A8EB57B-71ED-4169-A8EB-624C67CDBBE1 2 0.4730 0.4158 0.000 0.636 0.364 0.000
#> CC4DA9C6-CAB2-44FF-8219-D293ECD07DD4 4 0.0469 0.8854 0.000 0.000 0.012 0.988
#> AEC4FDAA-8F60-43CE-8EBB-5629FA662F16 2 0.0000 0.9484 0.000 1.000 0.000 0.000
#> BFC0D795-64F4-48B3-AD08-8C564E5E5367 1 0.0188 0.9607 0.996 0.000 0.000 0.004
#> 907BBBA4-4E7B-4808-892E-F80525C3CFA3 4 0.0592 0.8861 0.000 0.016 0.000 0.984
#> 7F21FA19-1468-4A65-A10A-A9727218A5EF 1 0.0000 0.9631 1.000 0.000 0.000 0.000
#> 905A026A-0B13-4AD3-B2BB-9A5AE76920AF 2 0.0336 0.9456 0.000 0.992 0.000 0.008
#> 6DDFC760-7BED-4A68-8DDA-9453D0FC9C1D 1 0.0000 0.9631 1.000 0.000 0.000 0.000
#> B3AFF323-BAAD-4512-A837-20C430EA39D1 1 0.0188 0.9617 0.996 0.000 0.000 0.004
#> 193E9034-42A2-4701-AA3E-2E852CA5C043 1 0.0000 0.9631 1.000 0.000 0.000 0.000
#> 8B6127D5-D3BB-4E17-914C-3ED1E2A52078 2 0.0000 0.9484 0.000 1.000 0.000 0.000
#> BD6E5E3C-DC43-4A85-84DF-84C68ABB851A 2 0.0000 0.9484 0.000 1.000 0.000 0.000
#> 881EACBD-B314-4A9E-A6DE-58DF9466AFB3 2 0.2589 0.8543 0.000 0.884 0.000 0.116
#> 195A6DF6-437D-4964-8872-C44F13E2CA4C 4 0.0817 0.8837 0.000 0.024 0.000 0.976
#> C40FD0B3-4773-490D-A342-B1CE8CC0A5BD 1 0.0000 0.9631 1.000 0.000 0.000 0.000
#> 613454BF-1A66-4DBB-90D0-246FC212DA4A 4 0.1151 0.8825 0.008 0.000 0.024 0.968
#> 5F121320-0F61-4BC0-BB69-F5C9A93BC118 1 0.0000 0.9631 1.000 0.000 0.000 0.000
#> E5637874-962B-4C43-8339-A6625D754DA8 2 0.0524 0.9430 0.008 0.988 0.000 0.004
#> 7614BF19-E3A2-492A-ABC0-557B274CA326 1 0.0000 0.9631 1.000 0.000 0.000 0.000
#> 6EB070B1-45C3-46DB-BFF9-6D9A137EC3A8 2 0.1118 0.9286 0.000 0.964 0.000 0.036
#> 873EEA1A-8AA1-4C83-B001-7BD64343ADE1 1 0.0000 0.9631 1.000 0.000 0.000 0.000
#> 2DCF0812-AC29-4BC2-8929-4D3D7B0F6335 2 0.0000 0.9484 0.000 1.000 0.000 0.000
#> 9391B623-4EC1-43A2-85EC-7B80BE87827D 1 0.0188 0.9617 0.996 0.000 0.000 0.004
#> 32A000F1-BAEA-41D2-AC75-02255A5BF2F2 2 0.0000 0.9484 0.000 1.000 0.000 0.000
#> 9C1016CE-3EAB-4FA7-806B-C8F6B08B4EA1 1 0.5279 0.2705 0.588 0.012 0.000 0.400
#> C7C4E75E-887F-4D11-9FDC-32292895A6B3 4 0.0000 0.8865 0.000 0.000 0.000 1.000
#> 54739A62-512F-499F-AFE1-B7C631B35272 1 0.0000 0.9631 1.000 0.000 0.000 0.000
#> 4476DF0E-6BB4-4682-BF59-E61071D4184E 4 0.2760 0.8261 0.128 0.000 0.000 0.872
#> DCCC6566-8A72-411D-B8F0-CC92B6D973AF 2 0.0188 0.9471 0.000 0.996 0.004 0.000
#> 781AEC2C-2604-4DAA-A55C-D07A305AF32E 4 0.1211 0.8747 0.000 0.000 0.040 0.960
#> CB6BBA89-F467-4E0E-9DD1-04631E23D18C 4 0.0672 0.8869 0.008 0.000 0.008 0.984
#> 42E0E49F-0F6A-4787-87E8-E5CEA94822F9 4 0.0188 0.8867 0.000 0.004 0.000 0.996
#> B6466D8A-6CD3-4C90-B1FC-72EBDD93AE47 2 0.0188 0.9464 0.004 0.996 0.000 0.000
#> EEBC342F-80C7-428B-A69C-35962A8A0251 2 0.0000 0.9484 0.000 1.000 0.000 0.000
#> 38CB2DA4-D03B-4AAD-820E-B3475C52A945 2 0.0592 0.9412 0.000 0.984 0.000 0.016
#> E924E4B6-F88B-4F6B-B381-24D125C05D4F 3 0.0000 0.9550 0.000 0.000 1.000 0.000
#> C207F0D6-55B8-4353-8A7D-F1BA623BED96 4 0.4868 0.5964 0.304 0.000 0.012 0.684
#> 980CBBAE-2C02-4150-8BDB-B67713B6425C 3 0.0000 0.9550 0.000 0.000 1.000 0.000
#> 2E2A42A8-50A7-4409-8504-949A2B8A46A6 1 0.0188 0.9617 0.996 0.000 0.000 0.004
#> 65B6391B-3178-4AB3-9AA8-2FFAC5491988 2 0.2868 0.8231 0.000 0.864 0.136 0.000
#> 78EEB2C7-4B64-4CB0-9C94-E2AC46A75237 4 0.2546 0.8466 0.092 0.008 0.000 0.900
#> 4F05A349-3B06-425C-A8CC-63C1B23A3D65 1 0.0000 0.9631 1.000 0.000 0.000 0.000
#> 1CE1B4DB-1F7B-4F30-BAA1-E0252199F05B 3 0.0000 0.9550 0.000 0.000 1.000 0.000
#> 05FAAE20-A94E-41FA-B6B6-7DDCFB4F9657 1 0.0000 0.9631 1.000 0.000 0.000 0.000
#> 8C635DC8-6BED-46F6-893F-2AFB6CB3481A 1 0.0469 0.9577 0.988 0.000 0.000 0.012
#> 48410523-5F22-4531-97FA-7C796AD58989 1 0.0000 0.9631 1.000 0.000 0.000 0.000
#> B68D29BD-EDC7-4375-99F7-C5DAF72F3BA6 1 0.0000 0.9631 1.000 0.000 0.000 0.000
#> 417DC694-EA89-4AE0-94AC-88CA7E4BAA0B 1 0.0000 0.9631 1.000 0.000 0.000 0.000
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#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.0188 0.9468 0.000 0.996 0.004 0.000
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.9631 1.000 0.000 0.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.9631 1.000 0.000 0.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.0000 0.9484 0.000 1.000 0.000 0.000
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.3311 0.7755 0.828 0.000 0.172 0.000
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.0000 0.9484 0.000 1.000 0.000 0.000
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.9550 0.000 0.000 1.000 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 3 0.0000 0.9550 0.000 0.000 1.000 0.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.0000 0.9550 0.000 0.000 1.000 0.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 1 0.1474 0.9123 0.948 0.052 0.000 0.000
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 4 0.0707 0.8834 0.000 0.000 0.020 0.980
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.0469 0.9423 0.000 0.988 0.012 0.000
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.2408 0.8606 0.000 0.896 0.104 0.000
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.0188 0.9470 0.000 0.996 0.000 0.004
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.9631 1.000 0.000 0.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.9631 1.000 0.000 0.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.0469 0.9566 0.988 0.000 0.000 0.012
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0188 0.9617 0.996 0.000 0.000 0.004
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 4 0.5396 0.1184 0.000 0.464 0.012 0.524
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.0000 0.9484 0.000 1.000 0.000 0.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0188 0.9607 0.996 0.000 0.000 0.004
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.2149 0.8769 0.000 0.912 0.088 0.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.0188 0.9617 0.996 0.000 0.000 0.004
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.0336 0.9595 0.992 0.000 0.000 0.008
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.9550 0.000 0.000 1.000 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.1211 0.9321 0.960 0.000 0.000 0.040
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.866646 1.000 0.000 0.000 0.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.938598 0.000 0.000 1.000 0.000 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.3075 0.767062 0.860 0.000 0.000 0.092 0.048
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.0693 0.862528 0.980 0.000 0.000 0.008 0.012
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 5 0.4489 0.188033 0.420 0.000 0.000 0.008 0.572
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.0451 0.864836 0.988 0.000 0.000 0.008 0.004
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 2 0.4192 0.328378 0.000 0.596 0.000 0.404 0.000
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 4 0.4233 0.373822 0.000 0.208 0.000 0.748 0.044
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.4446 0.327397 0.592 0.000 0.000 0.008 0.400
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 4 0.2966 0.274507 0.000 0.000 0.000 0.816 0.184
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 4 0.5264 0.356621 0.128 0.000 0.000 0.676 0.196
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 3 0.3461 0.687871 0.000 0.004 0.772 0.000 0.224
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0162 0.866232 0.996 0.000 0.000 0.004 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 3 0.0000 0.938598 0.000 0.000 1.000 0.000 0.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 2 0.0579 0.888482 0.008 0.984 0.000 0.008 0.000
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.0290 0.892378 0.000 0.992 0.008 0.000 0.000
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0000 0.866646 1.000 0.000 0.000 0.000 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0794 0.858789 0.972 0.000 0.000 0.028 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 1 0.4446 0.326768 0.592 0.000 0.000 0.008 0.400
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0290 0.865707 0.992 0.000 0.000 0.008 0.000
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 5 0.4367 0.513624 0.000 0.004 0.000 0.416 0.580
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.3395 0.654324 0.000 0.764 0.236 0.000 0.000
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 2 0.3983 0.491549 0.000 0.660 0.000 0.340 0.000
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0162 0.866232 0.996 0.000 0.000 0.004 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 5 0.3336 0.620845 0.000 0.000 0.000 0.228 0.772
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 5 0.0693 0.606003 0.012 0.000 0.000 0.008 0.980
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.0000 0.894460 0.000 1.000 0.000 0.000 0.000
#> 375FE390-434B-41D3-9029-84065B1D7B6F 5 0.2376 0.596451 0.000 0.052 0.000 0.044 0.904
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.2966 0.733635 0.816 0.000 0.000 0.184 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.2020 0.817416 0.000 0.900 0.100 0.000 0.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.3013 0.757889 0.000 0.832 0.160 0.008 0.000
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 5 0.3990 0.597044 0.000 0.000 0.004 0.308 0.688
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 5 0.3835 0.613056 0.000 0.008 0.000 0.260 0.732
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.0000 0.866646 1.000 0.000 0.000 0.000 0.000
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 3 0.0290 0.933488 0.000 0.008 0.992 0.000 0.000
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 4 0.5982 0.203587 0.000 0.312 0.000 0.552 0.136
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 1 0.0798 0.861023 0.976 0.000 0.000 0.008 0.016
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0000 0.938598 0.000 0.000 1.000 0.000 0.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.0162 0.866232 0.996 0.000 0.000 0.004 0.000
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.0000 0.938598 0.000 0.000 1.000 0.000 0.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 2 0.0162 0.893650 0.000 0.996 0.000 0.004 0.000
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.0000 0.938598 0.000 0.000 1.000 0.000 0.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.0000 0.938598 0.000 0.000 1.000 0.000 0.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 1 0.1608 0.824446 0.928 0.000 0.072 0.000 0.000
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 4 0.0566 0.495343 0.012 0.000 0.000 0.984 0.004
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.0693 0.862528 0.980 0.000 0.000 0.008 0.012
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 2 0.0000 0.894460 0.000 1.000 0.000 0.000 0.000
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 1 0.0000 0.866646 1.000 0.000 0.000 0.000 0.000
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.0693 0.862528 0.980 0.000 0.000 0.008 0.012
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 5 0.4138 0.547628 0.000 0.000 0.000 0.384 0.616
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.0000 0.894460 0.000 1.000 0.000 0.000 0.000
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 4 0.4719 0.542075 0.248 0.056 0.000 0.696 0.000
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.0000 0.938598 0.000 0.000 1.000 0.000 0.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.0794 0.859182 0.972 0.000 0.000 0.028 0.000
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 5 0.0290 0.613964 0.000 0.000 0.000 0.008 0.992
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 2 0.0609 0.887783 0.000 0.980 0.000 0.020 0.000
#> 208165C0-229B-49E2-A22A-575CA3157C9E 5 0.4823 0.590693 0.000 0.072 0.000 0.228 0.700
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 1 0.4294 0.105505 0.532 0.000 0.000 0.468 0.000
#> 01397021-8495-4D89-885A-166B4DBA0122 3 0.0000 0.938598 0.000 0.000 1.000 0.000 0.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 3 0.0000 0.938598 0.000 0.000 1.000 0.000 0.000
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.0000 0.866646 1.000 0.000 0.000 0.000 0.000
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 2 0.0404 0.891414 0.000 0.988 0.000 0.012 0.000
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 3 0.3143 0.730788 0.000 0.204 0.796 0.000 0.000
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 3 0.0000 0.938598 0.000 0.000 1.000 0.000 0.000
#> AA569A06-0F37-4492-93F3-60A4539A3E82 2 0.4430 0.665329 0.000 0.752 0.000 0.172 0.076
#> BC53FB75-94CA-48C3-875B-5987037D186F 2 0.5400 0.314717 0.000 0.572 0.040 0.012 0.376
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 1 0.0963 0.855246 0.964 0.000 0.000 0.036 0.000
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 5 0.5064 0.586883 0.000 0.000 0.080 0.248 0.672
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 2 0.2127 0.821609 0.000 0.892 0.000 0.108 0.000
#> DF67F589-A607-4B95-96B8-4BB344132312 3 0.3280 0.738867 0.000 0.184 0.808 0.004 0.004
#> A65233E6-C146-4ACF-8DDE-5FB12D8D9637 3 0.0000 0.938598 0.000 0.000 1.000 0.000 0.000
#> 7578C9A3-FFF8-45C4-AC28-1C6141A9A2AD 1 0.0290 0.865707 0.992 0.000 0.000 0.008 0.000
#> 4DF775B9-E2FE-4F5E-8329-C37E21C5D10E 5 0.3796 0.596173 0.000 0.000 0.000 0.300 0.700
#> 5E6B86C6-3D79-47BB-9FAF-CA22659CFEA7 5 0.1082 0.613251 0.008 0.000 0.000 0.028 0.964
#> 53286128-668B-47EA-9A5F-D768FDCCBE88 1 0.4278 0.206769 0.548 0.000 0.000 0.452 0.000
#> 01C9F351-97FE-4037-A879-9D96A3DD3FBB 3 0.2230 0.834136 0.000 0.116 0.884 0.000 0.000
#> 5487DB21-6A58-46AC-A2A1-E343082D41D8 1 0.0693 0.862528 0.980 0.000 0.000 0.008 0.012
#> 0FB3E997-4E31-4FA6-9654-11C3C0AF8D86 2 0.0000 0.894460 0.000 1.000 0.000 0.000 0.000
#> A0706E80-FDF9-4721-BEB4-90527F6D38C4 2 0.0000 0.894460 0.000 1.000 0.000 0.000 0.000
#> 5260226E-1826-4F54-8237-28993DD2EF04 3 0.0000 0.938598 0.000 0.000 1.000 0.000 0.000
#> F53F71A7-A399-49AB-8657-019C5C56F48C 5 0.3895 0.592048 0.000 0.000 0.000 0.320 0.680
#> 008159F2-5247-479A-8BFE-C394888D0B74 2 0.0404 0.891414 0.000 0.988 0.000 0.012 0.000
#> 9E6BA6FB-35F2-4510-94AE-3E7CDFED3D47 3 0.0000 0.938598 0.000 0.000 1.000 0.000 0.000
#> F12BE7AC-D2DD-4AD1-AB37-32DC85954F59 4 0.0566 0.498735 0.012 0.004 0.000 0.984 0.000
#> 38A6BA1F-B444-4155-A168-EC2DF0EE0785 1 0.5258 0.518004 0.664 0.000 0.000 0.104 0.232
#> B107D1DE-EE52-4E89-B75A-91124BFF99AE 3 0.0000 0.938598 0.000 0.000 1.000 0.000 0.000
#> D4D16D09-8895-4BEA-ABF7-F11C5D5BDCAA 1 0.2411 0.789272 0.884 0.000 0.000 0.008 0.108
#> 9A53C473-1364-4BB6-AD36-EF53E0208450 1 0.0290 0.865707 0.992 0.000 0.000 0.008 0.000
#> F00C0ED6-C811-4F32-BDB4-4ACA7861DC7D 2 0.0000 0.894460 0.000 1.000 0.000 0.000 0.000
#> 72618985-CD49-4B6F-8CB0-5EE590FAD09A 5 0.4538 0.465257 0.000 0.008 0.000 0.452 0.540
#> 978A315F-CCE9-4D03-A680-C0AD60B10557 2 0.0000 0.894460 0.000 1.000 0.000 0.000 0.000
#> B6EACAED-3944-4510-B685-0BB8D1651D4F 1 0.0693 0.862528 0.980 0.000 0.000 0.008 0.012
#> EBCF16B4-A804-45EB-8253-0F28A2645729 5 0.7415 0.379089 0.232 0.000 0.044 0.280 0.444
#> 637DC441-4A75-4DA8-8F65-91FDB5F103C7 3 0.5359 0.388389 0.316 0.000 0.608 0.000 0.076
#> 89F67654-A246-4307-9B17-4A1C01DB1AED 2 0.0000 0.894460 0.000 1.000 0.000 0.000 0.000
#> 3A8EB57B-71ED-4169-A8EB-624C67CDBBE1 2 0.1478 0.852221 0.000 0.936 0.064 0.000 0.000
#> CC4DA9C6-CAB2-44FF-8219-D293ECD07DD4 5 0.2304 0.558438 0.100 0.000 0.000 0.008 0.892
#> AEC4FDAA-8F60-43CE-8EBB-5629FA662F16 2 0.0000 0.894460 0.000 1.000 0.000 0.000 0.000
#> BFC0D795-64F4-48B3-AD08-8C564E5E5367 1 0.3242 0.741162 0.816 0.000 0.000 0.172 0.012
#> 907BBBA4-4E7B-4808-892E-F80525C3CFA3 4 0.4307 -0.416125 0.000 0.000 0.000 0.504 0.496
#> 7F21FA19-1468-4A65-A10A-A9727218A5EF 1 0.0000 0.866646 1.000 0.000 0.000 0.000 0.000
#> 905A026A-0B13-4AD3-B2BB-9A5AE76920AF 4 0.4045 0.308395 0.000 0.356 0.000 0.644 0.000
#> 6DDFC760-7BED-4A68-8DDA-9453D0FC9C1D 1 0.0290 0.865707 0.992 0.000 0.000 0.008 0.000
#> B3AFF323-BAAD-4512-A837-20C430EA39D1 1 0.1251 0.849952 0.956 0.000 0.000 0.008 0.036
#> 193E9034-42A2-4701-AA3E-2E852CA5C043 1 0.3480 0.647469 0.752 0.000 0.000 0.248 0.000
#> 8B6127D5-D3BB-4E17-914C-3ED1E2A52078 2 0.0000 0.894460 0.000 1.000 0.000 0.000 0.000
#> BD6E5E3C-DC43-4A85-84DF-84C68ABB851A 2 0.4138 0.399932 0.000 0.616 0.000 0.384 0.000
#> 881EACBD-B314-4A9E-A6DE-58DF9466AFB3 4 0.1300 0.496033 0.000 0.028 0.000 0.956 0.016
#> 195A6DF6-437D-4964-8872-C44F13E2CA4C 5 0.4505 0.543345 0.000 0.012 0.000 0.384 0.604
#> C40FD0B3-4773-490D-A342-B1CE8CC0A5BD 4 0.4219 0.263489 0.416 0.000 0.000 0.584 0.000
#> 613454BF-1A66-4DBB-90D0-246FC212DA4A 5 0.4540 0.604405 0.008 0.000 0.024 0.268 0.700
#> 5F121320-0F61-4BC0-BB69-F5C9A93BC118 1 0.0290 0.865783 0.992 0.000 0.000 0.008 0.000
#> E5637874-962B-4C43-8339-A6625D754DA8 4 0.4824 0.272569 0.028 0.376 0.000 0.596 0.000
#> 7614BF19-E3A2-492A-ABC0-557B274CA326 1 0.1197 0.849216 0.952 0.000 0.000 0.048 0.000
#> 6EB070B1-45C3-46DB-BFF9-6D9A137EC3A8 2 0.4086 0.586580 0.000 0.704 0.000 0.284 0.012
#> 873EEA1A-8AA1-4C83-B001-7BD64343ADE1 1 0.0451 0.864836 0.988 0.000 0.000 0.008 0.004
#> 2DCF0812-AC29-4BC2-8929-4D3D7B0F6335 2 0.0000 0.894460 0.000 1.000 0.000 0.000 0.000
#> 9391B623-4EC1-43A2-85EC-7B80BE87827D 1 0.0798 0.861023 0.976 0.000 0.000 0.008 0.016
#> 32A000F1-BAEA-41D2-AC75-02255A5BF2F2 2 0.0880 0.881138 0.000 0.968 0.000 0.032 0.000
#> 9C1016CE-3EAB-4FA7-806B-C8F6B08B4EA1 4 0.1341 0.516144 0.056 0.000 0.000 0.944 0.000
#> C7C4E75E-887F-4D11-9FDC-32292895A6B3 5 0.3949 0.585434 0.000 0.000 0.000 0.332 0.668
#> 54739A62-512F-499F-AFE1-B7C631B35272 1 0.0000 0.866646 1.000 0.000 0.000 0.000 0.000
#> 4476DF0E-6BB4-4682-BF59-E61071D4184E 5 0.4473 0.210240 0.412 0.000 0.000 0.008 0.580
#> DCCC6566-8A72-411D-B8F0-CC92B6D973AF 2 0.3452 0.650974 0.000 0.756 0.244 0.000 0.000
#> 781AEC2C-2604-4DAA-A55C-D07A305AF32E 5 0.1282 0.599614 0.000 0.000 0.044 0.004 0.952
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#> DA144299-5541-47D7-A59E-C92896DF08FC 1 0.0798 0.861023 0.976 0.000 0.000 0.008 0.016
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 3 0.2966 0.750892 0.000 0.184 0.816 0.000 0.000
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.3143 0.709445 0.796 0.000 0.000 0.204 0.000
#> 617447CF-9327-4062-B22C-71A8944C948F 2 0.0000 0.894460 0.000 1.000 0.000 0.000 0.000
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0000 0.866646 1.000 0.000 0.000 0.000 0.000
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 2 0.0162 0.893639 0.000 0.996 0.000 0.004 0.000
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.0162 0.866232 0.996 0.000 0.000 0.004 0.000
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.0963 0.876912 0.000 0.964 0.036 0.000 0.000
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.0290 0.865707 0.992 0.000 0.000 0.008 0.000
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 3 0.0000 0.938598 0.000 0.000 1.000 0.000 0.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 2 0.4063 0.591210 0.000 0.708 0.280 0.012 0.000
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 3 0.0000 0.938598 0.000 0.000 1.000 0.000 0.000
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.2179 0.808796 0.888 0.000 0.000 0.112 0.000
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 1 0.3556 0.720115 0.828 0.000 0.132 0.008 0.032
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.0000 0.894460 0.000 1.000 0.000 0.000 0.000
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 5 0.5708 0.182995 0.412 0.000 0.000 0.084 0.504
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.3177 0.704313 0.792 0.000 0.000 0.208 0.000
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 3 0.0000 0.938598 0.000 0.000 1.000 0.000 0.000
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 3 0.0000 0.938598 0.000 0.000 1.000 0.000 0.000
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 1 0.4313 0.426167 0.636 0.000 0.000 0.008 0.356
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 5 0.1168 0.599436 0.032 0.000 0.000 0.008 0.960
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 4 0.4307 -0.000161 0.496 0.000 0.000 0.504 0.000
#> DA1301D3-1F84-46C5-AB44-079493A81A51 5 0.0451 0.608289 0.004 0.000 0.000 0.008 0.988
#> A12B1681-B598-40C3-80FE-1801F3F1189D 5 0.3143 0.619281 0.000 0.000 0.000 0.204 0.796
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 4 0.5004 0.171513 0.000 0.092 0.000 0.692 0.216
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 4 0.4249 0.414553 0.016 0.296 0.000 0.688 0.000
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.3452 0.638945 0.000 0.756 0.244 0.000 0.000
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.0000 0.894460 0.000 1.000 0.000 0.000 0.000
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 5 0.4562 -0.058934 0.496 0.000 0.000 0.008 0.496
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 3 0.1364 0.900830 0.000 0.000 0.952 0.036 0.012
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 3 0.0162 0.935895 0.000 0.004 0.996 0.000 0.000
#> 1D0379B1-0E99-4E6D-B890-907C92860654 4 0.0798 0.493728 0.000 0.016 0.000 0.976 0.008
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.1478 0.852307 0.000 0.936 0.000 0.064 0.000
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 2 0.3932 0.519555 0.000 0.672 0.000 0.328 0.000
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 2 0.0000 0.894460 0.000 1.000 0.000 0.000 0.000
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.4283 0.156774 0.544 0.000 0.000 0.456 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.0000 0.894460 0.000 1.000 0.000 0.000 0.000
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.3487 0.668861 0.780 0.000 0.000 0.008 0.212
#> ECC40A03-488E-4076-8A3A-234D968623AD 3 0.7308 0.356626 0.000 0.184 0.548 0.112 0.156
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0693 0.862528 0.980 0.000 0.000 0.008 0.012
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.0000 0.894460 0.000 1.000 0.000 0.000 0.000
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 3 0.7053 0.107234 0.032 0.000 0.500 0.216 0.252
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.0000 0.894460 0.000 1.000 0.000 0.000 0.000
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.0579 0.863806 0.984 0.000 0.000 0.008 0.008
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.2890 0.759664 0.000 0.836 0.160 0.004 0.000
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0162 0.866232 0.996 0.000 0.000 0.004 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.866646 1.000 0.000 0.000 0.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.0000 0.894460 0.000 1.000 0.000 0.000 0.000
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.5915 0.164199 0.508 0.000 0.384 0.108 0.000
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.0000 0.894460 0.000 1.000 0.000 0.000 0.000
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.938598 0.000 0.000 1.000 0.000 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 3 0.0609 0.924659 0.000 0.020 0.980 0.000 0.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.0000 0.938598 0.000 0.000 1.000 0.000 0.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 4 0.3999 0.416566 0.344 0.000 0.000 0.656 0.000
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 5 0.4948 0.590900 0.000 0.000 0.108 0.184 0.708
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.1914 0.852439 0.000 0.924 0.060 0.016 0.000
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.0290 0.891802 0.000 0.992 0.008 0.000 0.000
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.0290 0.892870 0.000 0.992 0.000 0.008 0.000
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.866646 1.000 0.000 0.000 0.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.2179 0.804288 0.888 0.000 0.000 0.112 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.4327 0.418962 0.632 0.000 0.000 0.008 0.360
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0693 0.862528 0.980 0.000 0.000 0.008 0.012
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.3395 0.647595 0.000 0.764 0.000 0.000 0.236
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.0162 0.893639 0.000 0.996 0.000 0.004 0.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 4 0.4242 0.229440 0.428 0.000 0.000 0.572 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.1043 0.873950 0.000 0.960 0.040 0.000 0.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.1544 0.837570 0.932 0.000 0.000 0.068 0.000
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.2077 0.811970 0.908 0.000 0.000 0.008 0.084
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.938598 0.000 0.000 1.000 0.000 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.0798 0.861583 0.976 0.000 0.000 0.008 0.016
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0405 0.8651 0.988 0.000 0.000 0.008 0.004 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.9116 0.000 0.000 1.000 0.000 0.000 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.1962 0.8423 0.924 0.000 0.000 0.028 0.020 0.028
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.1552 0.8473 0.940 0.000 0.000 0.020 0.036 0.004
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 5 0.4341 0.3844 0.412 0.000 0.000 0.024 0.564 0.000
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.0000 0.8642 1.000 0.000 0.000 0.000 0.000 0.000
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 4 0.3834 0.6614 0.000 0.232 0.000 0.732 0.000 0.036
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 6 0.2672 0.7574 0.000 0.080 0.000 0.052 0.000 0.868
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.3593 0.6236 0.748 0.000 0.000 0.024 0.228 0.000
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 4 0.3134 0.6743 0.000 0.000 0.000 0.820 0.144 0.036
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 4 0.3111 0.7078 0.008 0.000 0.000 0.836 0.124 0.032
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 3 0.2558 0.7720 0.000 0.004 0.840 0.000 0.156 0.000
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0806 0.8664 0.972 0.000 0.000 0.020 0.000 0.008
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 3 0.0146 0.9091 0.000 0.004 0.996 0.000 0.000 0.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 2 0.3499 0.8031 0.000 0.824 0.000 0.104 0.020 0.052
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.0146 0.9085 0.000 0.996 0.004 0.000 0.000 0.000
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0622 0.8659 0.980 0.000 0.000 0.012 0.008 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.1267 0.8603 0.940 0.000 0.000 0.060 0.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 1 0.2309 0.8087 0.888 0.000 0.000 0.028 0.084 0.000
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0000 0.8642 1.000 0.000 0.000 0.000 0.000 0.000
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 6 0.1863 0.7860 0.004 0.000 0.000 0.016 0.060 0.920
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.1265 0.8898 0.000 0.948 0.044 0.000 0.000 0.008
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 4 0.4587 0.2001 0.000 0.456 0.000 0.508 0.000 0.036
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0891 0.8664 0.968 0.000 0.000 0.024 0.000 0.008
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 6 0.3864 0.3051 0.000 0.000 0.000 0.000 0.480 0.520
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 5 0.0458 0.6868 0.016 0.000 0.000 0.000 0.984 0.000
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.0291 0.9085 0.000 0.992 0.000 0.004 0.000 0.004
#> 375FE390-434B-41D3-9029-84065B1D7B6F 5 0.3481 0.5404 0.000 0.012 0.000 0.228 0.756 0.004
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.3514 0.7501 0.752 0.000 0.000 0.228 0.000 0.020
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.0713 0.8989 0.000 0.972 0.028 0.000 0.000 0.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 3 0.4256 0.1581 0.000 0.464 0.520 0.016 0.000 0.000
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 6 0.2234 0.7826 0.000 0.004 0.000 0.000 0.124 0.872
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 6 0.4254 0.6732 0.000 0.048 0.000 0.000 0.272 0.680
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.0146 0.8650 0.996 0.000 0.000 0.000 0.000 0.004
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 3 0.1462 0.8706 0.000 0.056 0.936 0.000 0.000 0.008
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 6 0.3542 0.7004 0.000 0.160 0.000 0.052 0.000 0.788
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 1 0.0820 0.8580 0.972 0.000 0.000 0.012 0.016 0.000
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0000 0.9116 0.000 0.000 1.000 0.000 0.000 0.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.0458 0.8660 0.984 0.000 0.000 0.016 0.000 0.000
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.0000 0.9116 0.000 0.000 1.000 0.000 0.000 0.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 2 0.0520 0.9065 0.000 0.984 0.000 0.008 0.000 0.008
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.0000 0.9116 0.000 0.000 1.000 0.000 0.000 0.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.0000 0.9116 0.000 0.000 1.000 0.000 0.000 0.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 1 0.2126 0.8363 0.904 0.000 0.072 0.004 0.000 0.020
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 4 0.1814 0.7528 0.000 0.000 0.000 0.900 0.000 0.100
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.0622 0.8604 0.980 0.000 0.000 0.008 0.012 0.000
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 2 0.0806 0.9044 0.000 0.972 0.000 0.008 0.000 0.020
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 1 0.0405 0.8656 0.988 0.000 0.000 0.004 0.008 0.000
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.0363 0.8626 0.988 0.000 0.000 0.000 0.012 0.000
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 6 0.1700 0.7892 0.000 0.004 0.000 0.000 0.080 0.916
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.0146 0.9087 0.000 0.996 0.000 0.004 0.000 0.000
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 4 0.1080 0.7881 0.032 0.004 0.000 0.960 0.000 0.004
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.0000 0.9116 0.000 0.000 1.000 0.000 0.000 0.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.3789 0.6261 0.660 0.000 0.000 0.332 0.008 0.000
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 5 0.1524 0.6644 0.000 0.000 0.000 0.008 0.932 0.060
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 2 0.3699 0.4475 0.000 0.660 0.000 0.336 0.004 0.000
#> 208165C0-229B-49E2-A22A-575CA3157C9E 6 0.5120 0.6147 0.000 0.216 0.000 0.012 0.120 0.652
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 4 0.1501 0.7570 0.076 0.000 0.000 0.924 0.000 0.000
#> 01397021-8495-4D89-885A-166B4DBA0122 3 0.0000 0.9116 0.000 0.000 1.000 0.000 0.000 0.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 3 0.0000 0.9116 0.000 0.000 1.000 0.000 0.000 0.000
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.0603 0.8661 0.980 0.000 0.000 0.016 0.000 0.004
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 2 0.0790 0.8970 0.000 0.968 0.000 0.032 0.000 0.000
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 2 0.4626 0.3718 0.000 0.588 0.372 0.008 0.000 0.032
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 3 0.0653 0.9008 0.000 0.004 0.980 0.004 0.012 0.000
#> AA569A06-0F37-4492-93F3-60A4539A3E82 2 0.5191 0.6135 0.000 0.692 0.000 0.164 0.072 0.072
#> BC53FB75-94CA-48C3-875B-5987037D186F 2 0.3872 0.7541 0.000 0.788 0.024 0.000 0.044 0.144
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 1 0.1411 0.8599 0.936 0.000 0.000 0.060 0.000 0.004
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 6 0.2212 0.7849 0.000 0.000 0.008 0.000 0.112 0.880
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 2 0.3133 0.7379 0.000 0.780 0.000 0.008 0.000 0.212
#> DF67F589-A607-4B95-96B8-4BB344132312 3 0.5065 0.6103 0.000 0.132 0.680 0.020 0.168 0.000
#> A65233E6-C146-4ACF-8DDE-5FB12D8D9637 3 0.0000 0.9116 0.000 0.000 1.000 0.000 0.000 0.000
#> 7578C9A3-FFF8-45C4-AC28-1C6141A9A2AD 1 0.0260 0.8631 0.992 0.000 0.000 0.000 0.008 0.000
#> 4DF775B9-E2FE-4F5E-8329-C37E21C5D10E 5 0.4399 -0.1573 0.000 0.000 0.000 0.024 0.516 0.460
#> 5E6B86C6-3D79-47BB-9FAF-CA22659CFEA7 5 0.0964 0.6874 0.016 0.000 0.000 0.012 0.968 0.004
#> 53286128-668B-47EA-9A5F-D768FDCCBE88 1 0.5364 0.5255 0.572 0.000 0.000 0.152 0.000 0.276
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#> C3842EA2-E3BC-48DE-9B59-92145AC2F716 3 0.0000 0.9116 0.000 0.000 1.000 0.000 0.000 0.000
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#> 4BAA88D6-4A88-4D54-9B0E-83365CC85C39 5 0.4262 0.2038 0.476 0.000 0.000 0.016 0.508 0.000
#> 7480A3B3-3BF8-4123-8E2E-8C2B52688EC6 3 0.1708 0.8693 0.000 0.040 0.932 0.000 0.024 0.004
#> AE3211D1-65C0-46B1-A67F-741C21A7D1C4 2 0.0000 0.9085 0.000 1.000 0.000 0.000 0.000 0.000
#> D7244456-CB99-4893-85FE-65082CC4F17C 2 0.0146 0.9086 0.000 0.996 0.000 0.000 0.000 0.004
#> C4E0F193-49DC-4A49-84BB-337AAF277145 1 0.1564 0.8425 0.936 0.000 0.000 0.024 0.040 0.000
#> E2DF7E97-6BE1-412C-B71D-151B87739653 6 0.3862 0.5119 0.000 0.000 0.000 0.004 0.388 0.608
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#> D1B88E26-3B64-4E1A-8E50-22AD100BD9F9 2 0.1204 0.8815 0.000 0.944 0.000 0.056 0.000 0.000
#> 3AEB8943-FE34-4014-B851-BBF83857A794 2 0.4013 0.7305 0.000 0.768 0.000 0.124 0.004 0.104
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#> 81FCBC31-367A-4B1C-A832-B133E4A43738 5 0.0891 0.6793 0.000 0.000 0.000 0.008 0.968 0.024
#> 8690FA0F-9C1C-4D97-813A-3FB56827FBFC 4 0.4093 0.1773 0.000 0.476 0.000 0.516 0.000 0.008
#> 9810CF0C-99D1-445B-B1F9-C956D2438495 3 0.0000 0.9116 0.000 0.000 1.000 0.000 0.000 0.000
#> 2F5073E1-9EDD-46B5-95E3-8314E2A5B620 5 0.0405 0.6810 0.000 0.000 0.000 0.008 0.988 0.004
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#> 52DC920F-0AD5-47CE-BD81-31843876B71E 1 0.1007 0.8637 0.956 0.000 0.000 0.044 0.000 0.000
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#> 5EFA2C2D-30B3-4D66-9601-354711F9FC56 3 0.0000 0.9116 0.000 0.000 1.000 0.000 0.000 0.000
#> 3FBD381D-84C8-4680-980B-CC4B7924BE06 2 0.0146 0.9087 0.000 0.996 0.000 0.000 0.000 0.004
#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 6 0.2214 0.7506 0.000 0.096 0.000 0.016 0.000 0.888
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 5 0.4377 0.3225 0.436 0.000 0.000 0.024 0.540 0.000
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 2 0.0000 0.9085 0.000 1.000 0.000 0.000 0.000 0.000
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 3 0.4070 0.2517 0.000 0.424 0.568 0.004 0.000 0.004
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 1 0.2831 0.7593 0.840 0.000 0.000 0.024 0.136 0.000
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 5 0.2390 0.6416 0.000 0.000 0.056 0.000 0.888 0.056
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 2 0.0363 0.9063 0.000 0.988 0.000 0.012 0.000 0.000
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 6 0.3265 0.7459 0.040 0.000 0.000 0.108 0.016 0.836
#> A3343F40-F977-4F9B-856A-28781F10F4CD 2 0.2020 0.8516 0.000 0.896 0.096 0.000 0.000 0.008
#> DA144299-5541-47D7-A59E-C92896DF08FC 1 0.1461 0.8456 0.940 0.000 0.000 0.016 0.044 0.000
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 3 0.4654 0.2310 0.000 0.412 0.544 0.000 0.000 0.044
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.3874 0.7336 0.732 0.000 0.000 0.228 0.000 0.040
#> 617447CF-9327-4062-B22C-71A8944C948F 2 0.0000 0.9085 0.000 1.000 0.000 0.000 0.000 0.000
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0508 0.8660 0.984 0.000 0.000 0.012 0.000 0.004
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 2 0.0146 0.9085 0.000 0.996 0.000 0.000 0.000 0.004
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.0806 0.8668 0.972 0.000 0.000 0.020 0.008 0.000
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.0937 0.8910 0.000 0.960 0.040 0.000 0.000 0.000
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.0260 0.8632 0.992 0.000 0.000 0.000 0.008 0.000
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 3 0.0000 0.9116 0.000 0.000 1.000 0.000 0.000 0.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 2 0.3887 0.4205 0.000 0.632 0.360 0.008 0.000 0.000
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 3 0.0000 0.9116 0.000 0.000 1.000 0.000 0.000 0.000
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.2920 0.7774 0.820 0.000 0.000 0.004 0.008 0.168
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 1 0.1890 0.8363 0.924 0.000 0.044 0.008 0.024 0.000
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.0000 0.9085 0.000 1.000 0.000 0.000 0.000 0.000
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 5 0.3907 0.5079 0.268 0.000 0.000 0.000 0.704 0.028
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.4033 0.7265 0.724 0.000 0.000 0.224 0.000 0.052
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 3 0.0000 0.9116 0.000 0.000 1.000 0.000 0.000 0.000
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 3 0.0000 0.9116 0.000 0.000 1.000 0.000 0.000 0.000
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 1 0.1908 0.8303 0.916 0.000 0.000 0.028 0.056 0.000
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 5 0.2182 0.6681 0.076 0.000 0.000 0.020 0.900 0.004
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.4219 0.6427 0.660 0.000 0.000 0.304 0.000 0.036
#> DA1301D3-1F84-46C5-AB44-079493A81A51 5 0.0291 0.6837 0.004 0.000 0.000 0.004 0.992 0.000
#> A12B1681-B598-40C3-80FE-1801F3F1189D 5 0.1462 0.6713 0.000 0.000 0.000 0.056 0.936 0.008
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 6 0.1633 0.7715 0.000 0.044 0.000 0.024 0.000 0.932
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 4 0.0972 0.7918 0.008 0.028 0.000 0.964 0.000 0.000
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.1007 0.8903 0.000 0.956 0.044 0.000 0.000 0.000
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.0146 0.9086 0.000 0.996 0.000 0.000 0.000 0.004
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 1 0.3345 0.6726 0.776 0.000 0.000 0.020 0.204 0.000
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 3 0.3669 0.7767 0.000 0.020 0.828 0.020 0.096 0.036
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 3 0.1141 0.8780 0.000 0.052 0.948 0.000 0.000 0.000
#> 1D0379B1-0E99-4E6D-B890-907C92860654 6 0.3929 0.5361 0.000 0.028 0.000 0.272 0.000 0.700
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.3240 0.6834 0.000 0.752 0.000 0.004 0.000 0.244
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 4 0.3823 0.3012 0.000 0.436 0.000 0.564 0.000 0.000
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 2 0.0000 0.9085 0.000 1.000 0.000 0.000 0.000 0.000
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.4552 0.6175 0.640 0.000 0.000 0.300 0.000 0.060
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.0000 0.9085 0.000 1.000 0.000 0.000 0.000 0.000
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.1633 0.8403 0.932 0.000 0.000 0.024 0.044 0.000
#> ECC40A03-488E-4076-8A3A-234D968623AD 3 0.6126 0.4972 0.000 0.184 0.604 0.020 0.160 0.032
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0891 0.8571 0.968 0.000 0.000 0.008 0.024 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.0000 0.9085 0.000 1.000 0.000 0.000 0.000 0.000
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 6 0.6226 0.3122 0.240 0.000 0.248 0.000 0.020 0.492
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.0000 0.9085 0.000 1.000 0.000 0.000 0.000 0.000
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.2734 0.7934 0.840 0.000 0.000 0.008 0.148 0.004
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.3161 0.6976 0.000 0.776 0.216 0.008 0.000 0.000
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0858 0.8659 0.968 0.000 0.000 0.028 0.000 0.004
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0260 0.8652 0.992 0.000 0.000 0.008 0.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.0000 0.9085 0.000 1.000 0.000 0.000 0.000 0.000
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.4886 0.5888 0.648 0.000 0.252 0.096 0.000 0.004
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.0146 0.9087 0.000 0.996 0.000 0.000 0.000 0.004
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.9116 0.000 0.000 1.000 0.000 0.000 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 3 0.0937 0.8871 0.000 0.040 0.960 0.000 0.000 0.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.0000 0.9116 0.000 0.000 1.000 0.000 0.000 0.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 4 0.0858 0.7898 0.028 0.004 0.000 0.968 0.000 0.000
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 5 0.5300 -0.0383 0.000 0.000 0.108 0.000 0.516 0.376
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.3226 0.7960 0.000 0.836 0.116 0.020 0.000 0.028
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.0146 0.9087 0.000 0.996 0.000 0.004 0.000 0.000
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.0146 0.9086 0.000 0.996 0.000 0.000 0.000 0.004
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0692 0.8664 0.976 0.000 0.000 0.020 0.000 0.004
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.2821 0.8134 0.832 0.000 0.000 0.152 0.000 0.016
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 5 0.3967 0.4842 0.356 0.000 0.000 0.012 0.632 0.000
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0603 0.8605 0.980 0.000 0.000 0.004 0.016 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.1643 0.8758 0.000 0.924 0.000 0.000 0.008 0.068
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.0291 0.9086 0.000 0.992 0.000 0.000 0.004 0.004
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.5887 0.3444 0.476 0.000 0.000 0.272 0.000 0.252
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.1564 0.8869 0.000 0.936 0.040 0.000 0.000 0.024
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.2786 0.8362 0.860 0.000 0.000 0.084 0.000 0.056
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.1633 0.8404 0.932 0.000 0.000 0.024 0.044 0.000
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.9116 0.000 0.000 1.000 0.000 0.000 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.0790 0.8581 0.968 0.000 0.000 0.000 0.032 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 17654 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'ATC' method.
#> Subgroups are detected by 'hclust' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.511 0.774 0.897 0.4579 0.522 0.522
#> 3 3 0.412 0.580 0.781 0.3537 0.706 0.495
#> 4 4 0.488 0.588 0.758 0.1343 0.822 0.559
#> 5 5 0.525 0.442 0.729 0.0507 0.951 0.839
#> 6 6 0.559 0.510 0.715 0.0341 0.957 0.850
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
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.90093 1.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 2 0.0000 0.84502 0.000 1.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.1184 0.89783 0.984 0.016
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.0000 0.90093 1.000 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.4298 0.85435 0.912 0.088
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.2043 0.89123 0.968 0.032
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 1 0.1843 0.89301 0.972 0.028
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 1 0.4815 0.84144 0.896 0.104
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.4431 0.85164 0.908 0.092
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 1 0.0000 0.90093 1.000 0.000
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.0000 0.90093 1.000 0.000
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 2 0.0376 0.84578 0.004 0.996
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.90093 1.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 2 0.0376 0.84582 0.004 0.996
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 1 0.0000 0.90093 1.000 0.000
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.4815 0.82478 0.104 0.896
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0000 0.90093 1.000 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.90093 1.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 1 0.3114 0.87731 0.944 0.056
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0000 0.90093 1.000 0.000
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 1 0.1633 0.89497 0.976 0.024
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.3879 0.83533 0.076 0.924
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 1 0.4431 0.85060 0.908 0.092
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0000 0.90093 1.000 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 1 0.9909 0.12638 0.556 0.444
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 1 0.5178 0.83119 0.884 0.116
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.9393 0.56592 0.356 0.644
#> 375FE390-434B-41D3-9029-84065B1D7B6F 1 0.9491 0.37940 0.632 0.368
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 0.90093 1.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.5294 0.81704 0.120 0.880
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.9522 0.53204 0.372 0.628
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.1633 0.84637 0.024 0.976
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.2043 0.84548 0.032 0.968
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.0938 0.89906 0.988 0.012
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 2 0.0376 0.84578 0.004 0.996
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 1 0.1843 0.89302 0.972 0.028
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 1 0.0672 0.89979 0.992 0.008
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 2 0.0000 0.84502 0.000 1.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.0000 0.90093 1.000 0.000
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 2 0.0000 0.84502 0.000 1.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 1 0.6438 0.77730 0.836 0.164
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 2 0.0000 0.84502 0.000 1.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 2 0.0000 0.84502 0.000 1.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 1 0.7674 0.68863 0.776 0.224
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 1 0.0000 0.90093 1.000 0.000
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.0000 0.90093 1.000 0.000
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 1 0.5737 0.80878 0.864 0.136
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 1 0.9044 0.50130 0.680 0.320
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.0000 0.90093 1.000 0.000
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 1 0.5294 0.82579 0.880 0.120
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.9850 0.39133 0.428 0.572
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 1 0.0000 0.90093 1.000 0.000
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 2 0.0000 0.84502 0.000 1.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.0000 0.90093 1.000 0.000
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 2 0.1843 0.84604 0.028 0.972
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 1 0.8081 0.65276 0.752 0.248
#> 208165C0-229B-49E2-A22A-575CA3157C9E 2 1.0000 0.13833 0.500 0.500
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 1 0.0000 0.90093 1.000 0.000
#> 01397021-8495-4D89-885A-166B4DBA0122 2 0.0000 0.84502 0.000 1.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 2 0.0000 0.84502 0.000 1.000
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.0000 0.90093 1.000 0.000
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 1 0.7528 0.70224 0.784 0.216
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 2 0.2603 0.84390 0.044 0.956
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 2 0.0376 0.84578 0.004 0.996
#> AA569A06-0F37-4492-93F3-60A4539A3E82 1 0.9732 0.27035 0.596 0.404
#> BC53FB75-94CA-48C3-875B-5987037D186F 2 0.4022 0.83407 0.080 0.920
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 1 0.0000 0.90093 1.000 0.000
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 2 0.1414 0.84645 0.020 0.980
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 1 0.6148 0.79083 0.848 0.152
#> DF67F589-A607-4B95-96B8-4BB344132312 2 0.0376 0.84578 0.004 0.996
#> A65233E6-C146-4ACF-8DDE-5FB12D8D9637 2 0.0000 0.84502 0.000 1.000
#> 7578C9A3-FFF8-45C4-AC28-1C6141A9A2AD 1 0.0000 0.90093 1.000 0.000
#> 4DF775B9-E2FE-4F5E-8329-C37E21C5D10E 1 0.9944 0.08080 0.544 0.456
#> 5E6B86C6-3D79-47BB-9FAF-CA22659CFEA7 1 0.0938 0.89887 0.988 0.012
#> 53286128-668B-47EA-9A5F-D768FDCCBE88 1 0.0000 0.90093 1.000 0.000
#> 01C9F351-97FE-4037-A879-9D96A3DD3FBB 2 0.0000 0.84502 0.000 1.000
#> 5487DB21-6A58-46AC-A2A1-E343082D41D8 1 0.1184 0.89759 0.984 0.016
#> 0FB3E997-4E31-4FA6-9654-11C3C0AF8D86 2 0.9286 0.58895 0.344 0.656
#> A0706E80-FDF9-4721-BEB4-90527F6D38C4 2 0.8955 0.64531 0.312 0.688
#> 5260226E-1826-4F54-8237-28993DD2EF04 2 0.0000 0.84502 0.000 1.000
#> F53F71A7-A399-49AB-8657-019C5C56F48C 2 0.6887 0.77903 0.184 0.816
#> 008159F2-5247-479A-8BFE-C394888D0B74 1 0.5737 0.80988 0.864 0.136
#> 9E6BA6FB-35F2-4510-94AE-3E7CDFED3D47 2 0.0000 0.84502 0.000 1.000
#> F12BE7AC-D2DD-4AD1-AB37-32DC85954F59 1 0.0938 0.89895 0.988 0.012
#> 38A6BA1F-B444-4155-A168-EC2DF0EE0785 1 0.0000 0.90093 1.000 0.000
#> B107D1DE-EE52-4E89-B75A-91124BFF99AE 2 0.0000 0.84502 0.000 1.000
#> D4D16D09-8895-4BEA-ABF7-F11C5D5BDCAA 1 0.4431 0.85107 0.908 0.092
#> 9A53C473-1364-4BB6-AD36-EF53E0208450 1 0.0000 0.90093 1.000 0.000
#> F00C0ED6-C811-4F32-BDB4-4ACA7861DC7D 2 0.9710 0.46703 0.400 0.600
#> 72618985-CD49-4B6F-8CB0-5EE590FAD09A 1 0.9608 0.33311 0.616 0.384
#> 978A315F-CCE9-4D03-A680-C0AD60B10557 2 0.7056 0.77484 0.192 0.808
#> B6EACAED-3944-4510-B685-0BB8D1651D4F 1 0.2043 0.89168 0.968 0.032
#> EBCF16B4-A804-45EB-8253-0F28A2645729 1 0.9944 0.08080 0.544 0.456
#> 637DC441-4A75-4DA8-8F65-91FDB5F103C7 2 0.9896 0.33583 0.440 0.560
#> 89F67654-A246-4307-9B17-4A1C01DB1AED 2 0.9732 0.45774 0.404 0.596
#> 3A8EB57B-71ED-4169-A8EB-624C67CDBBE1 2 0.2603 0.84348 0.044 0.956
#> CC4DA9C6-CAB2-44FF-8219-D293ECD07DD4 1 0.8386 0.61953 0.732 0.268
#> AEC4FDAA-8F60-43CE-8EBB-5629FA662F16 2 0.9775 0.43864 0.412 0.588
#> BFC0D795-64F4-48B3-AD08-8C564E5E5367 1 0.0000 0.90093 1.000 0.000
#> 907BBBA4-4E7B-4808-892E-F80525C3CFA3 1 0.8207 0.63656 0.744 0.256
#> 7F21FA19-1468-4A65-A10A-A9727218A5EF 1 0.0000 0.90093 1.000 0.000
#> 905A026A-0B13-4AD3-B2BB-9A5AE76920AF 1 0.2236 0.88935 0.964 0.036
#> 6DDFC760-7BED-4A68-8DDA-9453D0FC9C1D 1 0.0000 0.90093 1.000 0.000
#> B3AFF323-BAAD-4512-A837-20C430EA39D1 1 0.2778 0.88282 0.952 0.048
#> 193E9034-42A2-4701-AA3E-2E852CA5C043 1 0.0000 0.90093 1.000 0.000
#> 8B6127D5-D3BB-4E17-914C-3ED1E2A52078 2 0.8207 0.71823 0.256 0.744
#> BD6E5E3C-DC43-4A85-84DF-84C68ABB851A 1 0.5178 0.82947 0.884 0.116
#> 881EACBD-B314-4A9E-A6DE-58DF9466AFB3 1 0.1414 0.89634 0.980 0.020
#> 195A6DF6-437D-4964-8872-C44F13E2CA4C 2 0.7453 0.75469 0.212 0.788
#> C40FD0B3-4773-490D-A342-B1CE8CC0A5BD 1 0.0000 0.90093 1.000 0.000
#> 613454BF-1A66-4DBB-90D0-246FC212DA4A 1 0.9983 -0.00744 0.524 0.476
#> 5F121320-0F61-4BC0-BB69-F5C9A93BC118 1 0.0000 0.90093 1.000 0.000
#> E5637874-962B-4C43-8339-A6625D754DA8 1 0.2043 0.89125 0.968 0.032
#> 7614BF19-E3A2-492A-ABC0-557B274CA326 1 0.0000 0.90093 1.000 0.000
#> 6EB070B1-45C3-46DB-BFF9-6D9A137EC3A8 1 0.1843 0.89302 0.972 0.028
#> 873EEA1A-8AA1-4C83-B001-7BD64343ADE1 1 0.0000 0.90093 1.000 0.000
#> 2DCF0812-AC29-4BC2-8929-4D3D7B0F6335 1 0.9944 0.07606 0.544 0.456
#> 9391B623-4EC1-43A2-85EC-7B80BE87827D 1 0.8555 0.58997 0.720 0.280
#> 32A000F1-BAEA-41D2-AC75-02255A5BF2F2 2 0.9087 0.62614 0.324 0.676
#> 9C1016CE-3EAB-4FA7-806B-C8F6B08B4EA1 1 0.0000 0.90093 1.000 0.000
#> C7C4E75E-887F-4D11-9FDC-32292895A6B3 1 0.6247 0.78674 0.844 0.156
#> 54739A62-512F-499F-AFE1-B7C631B35272 1 0.0000 0.90093 1.000 0.000
#> 4476DF0E-6BB4-4682-BF59-E61071D4184E 1 0.1843 0.89368 0.972 0.028
#> DCCC6566-8A72-411D-B8F0-CC92B6D973AF 2 0.9427 0.55701 0.360 0.640
#> 781AEC2C-2604-4DAA-A55C-D07A305AF32E 2 0.1633 0.84642 0.024 0.976
#> CB6BBA89-F467-4E0E-9DD1-04631E23D18C 1 0.9998 -0.08355 0.508 0.492
#> 42E0E49F-0F6A-4787-87E8-E5CEA94822F9 2 0.1633 0.84633 0.024 0.976
#> B6466D8A-6CD3-4C90-B1FC-72EBDD93AE47 1 0.0000 0.90093 1.000 0.000
#> EEBC342F-80C7-428B-A69C-35962A8A0251 2 0.8861 0.65605 0.304 0.696
#> 38CB2DA4-D03B-4AAD-820E-B3475C52A945 2 0.9933 0.30700 0.452 0.548
#> E924E4B6-F88B-4F6B-B381-24D125C05D4F 2 0.0000 0.84502 0.000 1.000
#> C207F0D6-55B8-4353-8A7D-F1BA623BED96 1 0.9998 -0.08355 0.508 0.492
#> 980CBBAE-2C02-4150-8BDB-B67713B6425C 2 0.0000 0.84502 0.000 1.000
#> 2E2A42A8-50A7-4409-8504-949A2B8A46A6 1 0.2236 0.88892 0.964 0.036
#> 65B6391B-3178-4AB3-9AA8-2FFAC5491988 2 0.8713 0.67368 0.292 0.708
#> 78EEB2C7-4B64-4CB0-9C94-E2AC46A75237 1 0.0000 0.90093 1.000 0.000
#> 4F05A349-3B06-425C-A8CC-63C1B23A3D65 1 0.0000 0.90093 1.000 0.000
#> 1CE1B4DB-1F7B-4F30-BAA1-E0252199F05B 2 0.0000 0.84502 0.000 1.000
#> 05FAAE20-A94E-41FA-B6B6-7DDCFB4F9657 1 0.0000 0.90093 1.000 0.000
#> 8C635DC8-6BED-46F6-893F-2AFB6CB3481A 1 0.0000 0.90093 1.000 0.000
#> 48410523-5F22-4531-97FA-7C796AD58989 1 0.0000 0.90093 1.000 0.000
#> B68D29BD-EDC7-4375-99F7-C5DAF72F3BA6 1 0.0000 0.90093 1.000 0.000
#> 417DC694-EA89-4AE0-94AC-88CA7E4BAA0B 1 0.0000 0.90093 1.000 0.000
#> 64CC8829-8B70-4B43-A364-4905139379E4 1 0.0000 0.90093 1.000 0.000
#> 9E7B3CD8-5195-4757-AC99-F96FDD02B6EC 1 0.4161 0.85825 0.916 0.084
#> 91E396AE-9215-405D-95DA-4F20D02CEB92 2 0.9963 0.25645 0.464 0.536
#> 94CD6202-9C20-48FF-952F-C085A9829FF1 1 0.0000 0.90093 1.000 0.000
#> E13AD861-BBD9-4189-8BB6-4B798BDFAA64 1 0.4298 0.85435 0.912 0.088
#> 6591AC48-9A57-4F9A-B25E-69E9257F4801 1 0.0000 0.90093 1.000 0.000
#> 1F0575EF-CFFA-4282-A054-88FDABBEB0CE 1 0.4939 0.83794 0.892 0.108
#> A2C99D8F-03AD-4E02-8FD2-50E8A8D64FA7 2 0.0376 0.84578 0.004 0.996
#> DD2C6204-0402-42E6-9DCF-C596B254684D 1 0.2043 0.89137 0.968 0.032
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#> E3746081-2D1B-470B-A308-4B2E3A139C21 1 0.5519 0.81849 0.872 0.128
#> A7154064-ADD6-4D31-9622-8051F9A94BD2 1 0.0000 0.90093 1.000 0.000
#> D125BE69-EA3E-4E26-83B3-966C9B4E2E1D 1 0.0000 0.90093 1.000 0.000
#> D4A7D4B9-2E9D-4ED5-886F-664A212C9BE1 2 0.2948 0.84184 0.052 0.948
#> 1EFC6C80-2CBC-4F7F-9D95-D3259F22AED3 2 0.9393 0.55727 0.356 0.644
#> 9A0F8AF1-6845-474B-9897-F884E44DF78B 1 0.0000 0.90093 1.000 0.000
#> 5FFEF93E-3421-44BC-95BE-CA07D2343CD9 1 0.0000 0.90093 1.000 0.000
#> 706CD6CB-20D1-4B61-91CE-96468AFAB948 1 0.3114 0.87767 0.944 0.056
#> E75D87AF-DC22-4A00-8DAC-EDE1D242B3E5 1 0.6712 0.76252 0.824 0.176
#> B6428D53-EA3B-41A1-9092-3B47BF9F6089 1 0.1184 0.89775 0.984 0.016
#> 726D44D6-0732-44EA-B911-A5A1F0A758CF 1 0.1843 0.89346 0.972 0.028
#> E9FDE3D9-2845-4737-8957-BF36D7B39464 1 0.0000 0.90093 1.000 0.000
#> A70A345C-7683-4176-869B-8EDEFD966C1B 1 0.0000 0.90093 1.000 0.000
#> AB1C8455-7C2F-4154-95EF-B23EB5FD405A 2 0.3879 0.83493 0.076 0.924
#> 052F9CFB-8816-4A1D-B3C2-6A50168F7299 1 0.0000 0.90093 1.000 0.000
#> A821C6AB-91E5-4A72-8F3F-5D628FA351F0 2 0.0000 0.84502 0.000 1.000
#> 1D7F357E-0075-4AFA-BFCB-0297B90800F1 2 0.3879 0.83493 0.076 0.924
#> 5984264D-BD86-4D2F-8718-7DCAE974F50B 1 0.0672 0.89970 0.992 0.008
#> F24CC083-662D-457C-9BEC-3B68D63236AE 1 0.4815 0.84136 0.896 0.104
#> 48350BD7-9F6E-4DB5-B34A-F47B0BA74EF6 2 0.1184 0.84637 0.016 0.984
#> 94523D56-65BB-4860-9B7F-5859F5C82C05 2 0.0000 0.84502 0.000 1.000
#> CED33410-C7DE-43CC-941A-7652B200E5BB 1 0.8267 0.63039 0.740 0.260
#> 7E122E61-7895-4322-97BE-ABC29D7B7EA9 2 0.0000 0.84502 0.000 1.000
#> 60506411-6B29-49B4-9183-F54EE8B02CC4 1 0.1414 0.89644 0.980 0.020
#> ED52DF66-827A-4A8C-8E50-03C85FA04508 1 0.0000 0.90093 1.000 0.000
#> AB3B48ED-CFF9-4D66-BF3A-E9267D57BA14 1 0.9996 -0.09473 0.512 0.488
#> 248A7931-1EB5-47E3-A966-E6AF62E21FC1 2 0.0000 0.84502 0.000 1.000
#> CB846F43-7719-4B7E-946B-32E6384F3CC4 1 1.0000 -0.10148 0.504 0.496
#> 940E691A-04A2-410F-B1FB-A66A3BFE10E7 2 0.0000 0.84502 0.000 1.000
#> C3842EA2-E3BC-48DE-9B59-92145AC2F716 2 0.0000 0.84502 0.000 1.000
#> 497FB1B2-A998-44F3-8D69-6974314F941D 1 0.1184 0.89725 0.984 0.016
#> 4BAA88D6-4A88-4D54-9B0E-83365CC85C39 2 0.7453 0.75046 0.212 0.788
#> 7480A3B3-3BF8-4123-8E2E-8C2B52688EC6 2 0.0672 0.84618 0.008 0.992
#> AE3211D1-65C0-46B1-A67F-741C21A7D1C4 2 0.9286 0.58984 0.344 0.656
#> D7244456-CB99-4893-85FE-65082CC4F17C 2 0.9866 0.38127 0.432 0.568
#> C4E0F193-49DC-4A49-84BB-337AAF277145 1 0.2236 0.88957 0.964 0.036
#> E2DF7E97-6BE1-412C-B71D-151B87739653 1 0.9909 0.12638 0.556 0.444
#> 022BCEE2-4794-4D5D-87E5-22CD25FDBA98 2 0.0938 0.84651 0.012 0.988
#> 2AF33CEA-C327-4A31-84D8-C4F26E8A3ECF 1 0.0000 0.90093 1.000 0.000
#> E877B9C0-11C5-4CC8-BAE1-AC210535F3DB 1 0.0000 0.90093 1.000 0.000
#> 0E737E9F-1045-4B86-A290-ED927D5DE7BF 2 0.6531 0.79144 0.168 0.832
#> D1B88E26-3B64-4E1A-8E50-22AD100BD9F9 1 0.6247 0.78657 0.844 0.156
#> 3AEB8943-FE34-4014-B851-BBF83857A794 1 0.9998 -0.09055 0.508 0.492
#> BECD727E-E3C1-4C42-9047-D97B7444B20B 1 0.6048 0.79551 0.852 0.148
#> AF866E63-9EA1-4669-B9C4-FC7E877334AE 2 0.8909 0.65059 0.308 0.692
#> F9C8E54A-4CE4-4839-B0CA-58678461EEF1 2 0.0000 0.84502 0.000 1.000
#> AE818BC4-05BF-4E85-A4AD-F3E43DD7D37A 2 0.5519 0.81317 0.128 0.872
#> BA73A860-CADE-408D-8D27-14EADA2B53B0 1 0.0000 0.90093 1.000 0.000
#> 688858C8-48CA-43E9-AE2C-B9D4F80B5EE9 2 0.8713 0.67475 0.292 0.708
#> EB1D52B2-17B3-491E-B484-1235633D6925 1 0.9954 0.06483 0.540 0.460
#> AE261B5D-3881-40B9-8EE7-26B950E0BE16 1 0.0000 0.90093 1.000 0.000
#> 8C9851D5-3091-4DE0-A59E-9122C0CA1CD2 2 0.8608 0.68482 0.284 0.716
#> C8180F95-4E9C-45DB-B959-B47F64167C2D 1 0.0376 0.90039 0.996 0.004
#> 552D3B42-8D22-4B64-B3A2-B3E5D51A8524 2 0.8499 0.69422 0.276 0.724
#> FED9F364-BC3F-4134-BF4B-4D24B0EB8315 1 0.0672 0.89987 0.992 0.008
#> 7B0D7792-C803-4DD0-B9BF-CB83DA2D199A 1 0.0000 0.90093 1.000 0.000
#> B4F82CBB-A47C-44C3-81AC-CF775FF06FCD 1 0.0000 0.90093 1.000 0.000
#> BFAB10CF-5B24-40F7-92E7-C2E60DD779EF 1 0.9896 0.14989 0.560 0.440
#> E4E259E1-48B2-4C76-B113-E46270742F53 2 0.1414 0.84645 0.020 0.980
#> 81FCBC31-367A-4B1C-A832-B133E4A43738 1 0.8443 0.60311 0.728 0.272
#> 8690FA0F-9C1C-4D97-813A-3FB56827FBFC 1 1.0000 -0.11585 0.504 0.496
#> 9810CF0C-99D1-445B-B1F9-C956D2438495 2 0.0000 0.84502 0.000 1.000
#> 2F5073E1-9EDD-46B5-95E3-8314E2A5B620 1 0.9000 0.52165 0.684 0.316
#> B454F9FB-439A-43B5-877D-752D0F138AB5 2 0.0000 0.84502 0.000 1.000
#> 287F2B71-92F8-4D14-8249-C1BFBB254BE7 1 0.0000 0.90093 1.000 0.000
#> 52DC920F-0AD5-47CE-BD81-31843876B71E 1 0.0000 0.90093 1.000 0.000
#> 6BAC4B1B-C3FC-4A09-9821-232E510E6A47 1 0.0376 0.90039 0.996 0.004
#> A2B87EED-0D8E-4B20-85D3-FD9CC5E2E806 1 0.0000 0.90093 1.000 0.000
#> 43E6DB93-2DA6-4F0F-BF81-0C3869134D2B 1 0.0000 0.90093 1.000 0.000
#> 09A2ED74-A7C7-4DBB-8EDD-C80D0F0AEFDF 1 0.3431 0.87266 0.936 0.064
#> 35EDCB52-D4B5-4305-8A74-95EFE6F2BFB1 1 0.9944 0.08080 0.544 0.456
#> D5D18AF8-9CC2-496C-A83A-31BBA0195CFD 1 0.0000 0.90093 1.000 0.000
#> 03767EDF-2F8A-41DE-8D80-F4BE861225A3 1 0.4815 0.84136 0.896 0.104
#> 586BC656-AD9C-44EF-9ED4-87DEEB5C8AA6 1 0.0000 0.90093 1.000 0.000
#> 23CA1146-CB1B-4054-A4FF-200B87444BF9 1 0.0000 0.90093 1.000 0.000
#> 910E9B6D-E7D5-4C83-A19C-1EEA6E135639 1 0.0000 0.90093 1.000 0.000
#> F36353A3-6CE6-4347-A78B-0AAD8FAB14AD 1 0.0000 0.90093 1.000 0.000
#> 2045736E-7D0F-4B17-B74B-3B12AEE3E68C 1 0.0000 0.90093 1.000 0.000
#> 5EFA2C2D-30B3-4D66-9601-354711F9FC56 2 0.0000 0.84502 0.000 1.000
#> 3FBD381D-84C8-4680-980B-CC4B7924BE06 2 0.8861 0.65680 0.304 0.696
#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 1 0.2043 0.89137 0.968 0.032
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 1 0.2603 0.88457 0.956 0.044
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 2 0.9833 0.40436 0.424 0.576
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 2 0.9427 0.55701 0.360 0.640
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 1 0.3114 0.87767 0.944 0.056
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 2 0.1184 0.84637 0.016 0.984
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 1 0.4562 0.84707 0.904 0.096
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 1 0.0938 0.89887 0.988 0.012
#> A3343F40-F977-4F9B-856A-28781F10F4CD 2 0.7056 0.77526 0.192 0.808
#> DA144299-5541-47D7-A59E-C92896DF08FC 1 0.0000 0.90093 1.000 0.000
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 2 0.1843 0.84620 0.028 0.972
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.0000 0.90093 1.000 0.000
#> 617447CF-9327-4062-B22C-71A8944C948F 2 0.9850 0.39339 0.428 0.572
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0000 0.90093 1.000 0.000
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 2 0.7376 0.76451 0.208 0.792
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.0000 0.90093 1.000 0.000
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.2778 0.84278 0.048 0.952
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.0000 0.90093 1.000 0.000
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 2 0.0000 0.84502 0.000 1.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 2 0.8081 0.72678 0.248 0.752
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 2 0.0000 0.84502 0.000 1.000
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.0000 0.90093 1.000 0.000
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 1 0.9881 0.15028 0.564 0.436
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.1843 0.84632 0.028 0.972
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 1 0.0672 0.89979 0.992 0.008
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.0000 0.90093 1.000 0.000
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 2 0.0000 0.84502 0.000 1.000
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 2 0.0000 0.84502 0.000 1.000
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 1 0.1184 0.89768 0.984 0.016
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 2 0.7453 0.75046 0.212 0.788
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.0000 0.90093 1.000 0.000
#> DA1301D3-1F84-46C5-AB44-079493A81A51 1 0.8386 0.61953 0.732 0.268
#> A12B1681-B598-40C3-80FE-1801F3F1189D 1 0.0938 0.89887 0.988 0.012
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 1 0.2948 0.88101 0.948 0.052
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 1 0.0000 0.90093 1.000 0.000
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.0672 0.84621 0.008 0.992
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 1 0.9732 0.26337 0.596 0.404
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 1 0.3114 0.87731 0.944 0.056
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.0376 0.84578 0.004 0.996
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.0000 0.84502 0.000 1.000
#> 1D0379B1-0E99-4E6D-B890-907C92860654 1 0.9552 0.36491 0.624 0.376
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 1 0.5946 0.80316 0.856 0.144
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 1 0.3431 0.87291 0.936 0.064
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 1 0.6438 0.77730 0.836 0.164
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0000 0.90093 1.000 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.9491 0.53946 0.368 0.632
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.0376 0.90042 0.996 0.004
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.0376 0.84578 0.004 0.996
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0000 0.90093 1.000 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.8443 0.69895 0.272 0.728
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 1 0.3879 0.86382 0.924 0.076
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.6887 0.78154 0.184 0.816
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.0672 0.89982 0.992 0.008
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.9323 0.58023 0.348 0.652
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.90093 1.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.90093 1.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.9491 0.54281 0.368 0.632
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.0000 0.90093 1.000 0.000
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 1 0.9954 0.03924 0.540 0.460
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 2 0.0000 0.84502 0.000 1.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 2 0.0000 0.84502 0.000 1.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 2 0.0000 0.84502 0.000 1.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 1 0.0000 0.90093 1.000 0.000
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.4298 0.83149 0.088 0.912
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.8144 0.72248 0.252 0.748
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.8267 0.71338 0.260 0.740
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 1.0000 0.13790 0.500 0.500
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.90093 1.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.90093 1.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.2236 0.88900 0.964 0.036
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0000 0.90093 1.000 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.4022 0.83407 0.080 0.920
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.6887 0.78073 0.184 0.816
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0000 0.90093 1.000 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.4431 0.82995 0.092 0.908
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.0000 0.90093 1.000 0.000
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.0376 0.90042 0.996 0.004
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 2 0.0000 0.84502 0.000 1.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.0376 0.90038 0.996 0.004
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.8491 1.000 0.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.7707 0.000 0.000 1.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.5678 0.6401 0.684 0.316 0.000
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.1529 0.8493 0.960 0.040 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 2 0.6062 0.1662 0.384 0.616 0.000
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.5988 0.5510 0.632 0.368 0.000
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 1 0.5397 0.6824 0.720 0.280 0.000
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 2 0.6509 -0.0725 0.472 0.524 0.004
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 2 0.6244 0.0163 0.440 0.560 0.000
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 1 0.1289 0.8507 0.968 0.032 0.000
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.3686 0.8118 0.860 0.140 0.000
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 3 0.4121 0.7711 0.000 0.168 0.832
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.8491 1.000 0.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 3 0.4399 0.7640 0.000 0.188 0.812
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 1 0.5835 0.6000 0.660 0.340 0.000
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 3 0.6307 0.4050 0.000 0.488 0.512
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0000 0.8491 1.000 0.000 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.8491 1.000 0.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 2 0.6305 -0.1674 0.484 0.516 0.000
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.4291 0.7890 0.820 0.180 0.000
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 1 0.6026 0.5349 0.624 0.376 0.000
#> 83453F80-8A68-4A3C-995D-85CFB1011249 3 0.6140 0.5781 0.000 0.404 0.596
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#> 4BAA88D6-4A88-4D54-9B0E-83365CC85C39 2 0.7909 -0.1504 0.056 0.496 0.448
#> 7480A3B3-3BF8-4123-8E2E-8C2B52688EC6 3 0.4654 0.7561 0.000 0.208 0.792
#> AE3211D1-65C0-46B1-A67F-741C21A7D1C4 2 0.7189 0.3620 0.052 0.656 0.292
#> D7244456-CB99-4893-85FE-65082CC4F17C 2 0.4723 0.4632 0.016 0.824 0.160
#> C4E0F193-49DC-4A49-84BB-337AAF277145 1 0.6111 0.4827 0.604 0.396 0.000
#> E2DF7E97-6BE1-412C-B71D-151B87739653 2 0.8260 0.5583 0.192 0.636 0.172
#> 022BCEE2-4794-4D5D-87E5-22CD25FDBA98 3 0.5291 0.7240 0.000 0.268 0.732
#> 2AF33CEA-C327-4A31-84D8-C4F26E8A3ECF 1 0.0747 0.8512 0.984 0.016 0.000
#> E877B9C0-11C5-4CC8-BAE1-AC210535F3DB 1 0.0747 0.8509 0.984 0.016 0.000
#> 0E737E9F-1045-4B86-A290-ED927D5DE7BF 2 0.6460 -0.1655 0.004 0.556 0.440
#> D1B88E26-3B64-4E1A-8E50-22AD100BD9F9 2 0.5859 0.3093 0.344 0.656 0.000
#> 3AEB8943-FE34-4014-B851-BBF83857A794 2 0.7524 0.5481 0.128 0.692 0.180
#> BECD727E-E3C1-4C42-9047-D97B7444B20B 2 0.5882 0.2989 0.348 0.652 0.000
#> AF866E63-9EA1-4669-B9C4-FC7E877334AE 2 0.5291 0.3145 0.000 0.732 0.268
#> F9C8E54A-4CE4-4839-B0CA-58678461EEF1 3 0.3619 0.7761 0.000 0.136 0.864
#> AE818BC4-05BF-4E85-A4AD-F3E43DD7D37A 2 0.6308 -0.3353 0.000 0.508 0.492
#> BA73A860-CADE-408D-8D27-14EADA2B53B0 1 0.0000 0.8491 1.000 0.000 0.000
#> 688858C8-48CA-43E9-AE2C-B9D4F80B5EE9 2 0.6473 0.2610 0.020 0.668 0.312
#> EB1D52B2-17B3-491E-B484-1235633D6925 2 0.8076 0.5531 0.168 0.652 0.180
#> AE261B5D-3881-40B9-8EE7-26B950E0BE16 1 0.1964 0.8474 0.944 0.056 0.000
#> 8C9851D5-3091-4DE0-A59E-9122C0CA1CD2 2 0.5560 0.2210 0.000 0.700 0.300
#> C8180F95-4E9C-45DB-B959-B47F64167C2D 1 0.1643 0.8477 0.956 0.044 0.000
#> 552D3B42-8D22-4B64-B3A2-B3E5D51A8524 2 0.5902 0.2306 0.004 0.680 0.316
#> FED9F364-BC3F-4134-BF4B-4D24B0EB8315 1 0.5678 0.6439 0.684 0.316 0.000
#> 7B0D7792-C803-4DD0-B9BF-CB83DA2D199A 1 0.1860 0.8480 0.948 0.052 0.000
#> B4F82CBB-A47C-44C3-81AC-CF775FF06FCD 1 0.2537 0.8400 0.920 0.080 0.000
#> BFAB10CF-5B24-40F7-92E7-C2E60DD779EF 2 0.7564 0.5598 0.156 0.692 0.152
#> E4E259E1-48B2-4C76-B113-E46270742F53 3 0.6026 0.6199 0.000 0.376 0.624
#> 81FCBC31-367A-4B1C-A832-B133E4A43738 2 0.8700 0.4096 0.344 0.536 0.120
#> 8690FA0F-9C1C-4D97-813A-3FB56827FBFC 2 0.7797 0.5382 0.140 0.672 0.188
#> 9810CF0C-99D1-445B-B1F9-C956D2438495 3 0.2356 0.7760 0.000 0.072 0.928
#> 2F5073E1-9EDD-46B5-95E3-8314E2A5B620 2 0.7603 0.5473 0.236 0.668 0.096
#> B454F9FB-439A-43B5-877D-752D0F138AB5 3 0.4504 0.7618 0.000 0.196 0.804
#> 287F2B71-92F8-4D14-8249-C1BFBB254BE7 1 0.0000 0.8491 1.000 0.000 0.000
#> 52DC920F-0AD5-47CE-BD81-31843876B71E 1 0.2261 0.8433 0.932 0.068 0.000
#> 6BAC4B1B-C3FC-4A09-9821-232E510E6A47 1 0.3816 0.8072 0.852 0.148 0.000
#> A2B87EED-0D8E-4B20-85D3-FD9CC5E2E806 1 0.0000 0.8491 1.000 0.000 0.000
#> 43E6DB93-2DA6-4F0F-BF81-0C3869134D2B 1 0.0000 0.8491 1.000 0.000 0.000
#> 09A2ED74-A7C7-4DBB-8EDD-C80D0F0AEFDF 2 0.6309 -0.2112 0.500 0.500 0.000
#> 35EDCB52-D4B5-4305-8A74-95EFE6F2BFB1 2 0.7930 0.5594 0.168 0.664 0.168
#> D5D18AF8-9CC2-496C-A83A-31BBA0195CFD 1 0.5098 0.7287 0.752 0.248 0.000
#> 03767EDF-2F8A-41DE-8D80-F4BE861225A3 2 0.6434 0.1840 0.380 0.612 0.008
#> 586BC656-AD9C-44EF-9ED4-87DEEB5C8AA6 1 0.0000 0.8491 1.000 0.000 0.000
#> 23CA1146-CB1B-4054-A4FF-200B87444BF9 1 0.0000 0.8491 1.000 0.000 0.000
#> 910E9B6D-E7D5-4C83-A19C-1EEA6E135639 1 0.3340 0.8220 0.880 0.120 0.000
#> F36353A3-6CE6-4347-A78B-0AAD8FAB14AD 1 0.0000 0.8491 1.000 0.000 0.000
#> 2045736E-7D0F-4B17-B74B-3B12AEE3E68C 1 0.0000 0.8491 1.000 0.000 0.000
#> 5EFA2C2D-30B3-4D66-9601-354711F9FC56 3 0.0000 0.7707 0.000 0.000 1.000
#> 3FBD381D-84C8-4680-980B-CC4B7924BE06 2 0.5397 0.2987 0.000 0.720 0.280
#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 2 0.6274 -0.1069 0.456 0.544 0.000
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 1 0.6308 0.2436 0.508 0.492 0.000
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 2 0.4840 0.4568 0.016 0.816 0.168
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 2 0.4887 0.3869 0.000 0.772 0.228
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 2 0.6309 -0.2010 0.496 0.504 0.000
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 3 0.5835 0.6623 0.000 0.340 0.660
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 2 0.6180 0.0896 0.416 0.584 0.000
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 1 0.4750 0.7549 0.784 0.216 0.000
#> A3343F40-F977-4F9B-856A-28781F10F4CD 2 0.6386 -0.0633 0.004 0.584 0.412
#> DA144299-5541-47D7-A59E-C92896DF08FC 1 0.2066 0.8475 0.940 0.060 0.000
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 3 0.5926 0.6460 0.000 0.356 0.644
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.0000 0.8491 1.000 0.000 0.000
#> 617447CF-9327-4062-B22C-71A8944C948F 2 0.4575 0.4526 0.012 0.828 0.160
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0000 0.8491 1.000 0.000 0.000
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 2 0.6079 -0.0252 0.000 0.612 0.388
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.1289 0.8509 0.968 0.032 0.000
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 3 0.6079 0.6026 0.000 0.388 0.612
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.0237 0.8496 0.996 0.004 0.000
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 3 0.0000 0.7707 0.000 0.000 1.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 2 0.5859 0.1300 0.000 0.656 0.344
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 3 0.3619 0.7761 0.000 0.136 0.864
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.5178 0.7252 0.744 0.256 0.000
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 2 0.7211 0.5669 0.156 0.716 0.128
#> 69365512-8052-4BEA-B60D-9E065DD436BB 3 0.5926 0.6456 0.000 0.356 0.644
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 1 0.5138 0.7244 0.748 0.252 0.000
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.1753 0.8480 0.952 0.048 0.000
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 3 0.3816 0.7751 0.000 0.148 0.852
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 3 0.3816 0.7753 0.000 0.148 0.852
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 1 0.5968 0.5538 0.636 0.364 0.000
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 2 0.7909 -0.1504 0.056 0.496 0.448
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.0000 0.8491 1.000 0.000 0.000
#> DA1301D3-1F84-46C5-AB44-079493A81A51 2 0.7128 0.5064 0.252 0.684 0.064
#> A12B1681-B598-40C3-80FE-1801F3F1189D 1 0.4654 0.7629 0.792 0.208 0.000
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 2 0.6274 -0.0934 0.456 0.544 0.000
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 1 0.0000 0.8491 1.000 0.000 0.000
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 3 0.5254 0.7283 0.000 0.264 0.736
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.7853 0.5726 0.188 0.668 0.144
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 2 0.6305 -0.1674 0.484 0.516 0.000
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 3 0.5363 0.7147 0.000 0.276 0.724
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 3 0.3752 0.7756 0.000 0.144 0.856
#> 1D0379B1-0E99-4E6D-B890-907C92860654 2 0.8221 0.5715 0.248 0.624 0.128
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.6521 0.2883 0.340 0.644 0.016
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 1 0.6168 0.4345 0.588 0.412 0.000
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 2 0.5560 0.3815 0.300 0.700 0.000
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0000 0.8491 1.000 0.000 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.4978 0.3927 0.004 0.780 0.216
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.5529 0.6646 0.704 0.296 0.000
#> ECC40A03-488E-4076-8A3A-234D968623AD 3 0.5363 0.7147 0.000 0.276 0.724
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0000 0.8491 1.000 0.000 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.5929 0.2225 0.004 0.676 0.320
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 1 0.6416 0.5075 0.616 0.376 0.008
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.6154 -0.0818 0.000 0.592 0.408
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.4555 0.7731 0.800 0.200 0.000
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.6632 0.3678 0.036 0.692 0.272
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.8491 1.000 0.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.8491 1.000 0.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.4654 0.3846 0.000 0.792 0.208
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.2878 0.8342 0.904 0.096 0.000
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.6383 0.5544 0.104 0.768 0.128
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.7707 0.000 0.000 1.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 3 0.3686 0.7758 0.000 0.140 0.860
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.0892 0.7726 0.000 0.020 0.980
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 1 0.0000 0.8491 1.000 0.000 0.000
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 3 0.6215 0.5272 0.000 0.428 0.572
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.5835 0.1392 0.000 0.660 0.340
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.5760 0.1615 0.000 0.672 0.328
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.5760 0.5261 0.064 0.796 0.140
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.8491 1.000 0.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.8491 1.000 0.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.6308 0.2445 0.508 0.492 0.000
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0892 0.8508 0.980 0.020 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 3 0.6244 0.5068 0.000 0.440 0.560
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.6386 -0.0721 0.004 0.584 0.412
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0000 0.8491 1.000 0.000 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 3 0.6291 0.4465 0.000 0.468 0.532
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.2796 0.8331 0.908 0.092 0.000
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.5058 0.7176 0.756 0.244 0.000
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.7707 0.000 0.000 1.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.4178 0.7917 0.828 0.172 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.82355 1.000 0.000 0.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0592 0.84119 0.000 0.016 0.984 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.6540 0.07069 0.512 0.056 0.008 0.424
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.1970 0.80784 0.932 0.008 0.000 0.060
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 4 0.4791 0.65669 0.080 0.136 0.000 0.784
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.6752 -0.15700 0.468 0.092 0.000 0.440
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 1 0.6147 0.19622 0.564 0.056 0.000 0.380
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 4 0.7105 0.67088 0.256 0.184 0.000 0.560
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 4 0.5674 0.69252 0.148 0.132 0.000 0.720
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 1 0.1807 0.81596 0.940 0.008 0.000 0.052
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.4182 0.71132 0.796 0.024 0.000 0.180
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 3 0.5016 0.43396 0.000 0.396 0.600 0.004
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.82355 1.000 0.000 0.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 3 0.5119 0.31793 0.000 0.440 0.556 0.004
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 4 0.6137 0.25920 0.448 0.048 0.000 0.504
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.4423 0.61296 0.000 0.788 0.176 0.036
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0000 0.82355 1.000 0.000 0.000 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.82355 1.000 0.000 0.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 4 0.5923 0.69341 0.216 0.100 0.000 0.684
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.5112 0.53753 0.668 0.012 0.004 0.316
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 4 0.6774 0.39119 0.388 0.076 0.008 0.528
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.5113 0.51689 0.000 0.704 0.264 0.032
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 4 0.6936 0.68001 0.188 0.224 0.000 0.588
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0000 0.82355 1.000 0.000 0.000 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 2 0.6450 0.10218 0.032 0.504 0.020 0.444
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 4 0.5906 0.69429 0.152 0.148 0.000 0.700
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.3852 0.60812 0.000 0.800 0.008 0.192
#> 375FE390-434B-41D3-9029-84065B1D7B6F 4 0.7292 0.13679 0.080 0.440 0.024 0.456
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 0.82355 1.000 0.000 0.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.4244 0.63323 0.000 0.804 0.160 0.036
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.5250 0.59289 0.008 0.720 0.032 0.240
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.4737 0.52171 0.000 0.728 0.252 0.020
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.4744 0.53455 0.000 0.736 0.240 0.024
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.5892 0.45688 0.628 0.044 0.004 0.324
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 3 0.5080 0.37364 0.000 0.420 0.576 0.004
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 1 0.6186 0.27340 0.584 0.064 0.000 0.352
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 1 0.5856 0.21231 0.556 0.036 0.000 0.408
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0592 0.84119 0.000 0.016 0.984 0.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.1389 0.81874 0.952 0.000 0.000 0.048
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#> ED52DF66-827A-4A8C-8E50-03C85FA04508 1 0.1902 0.81252 0.932 0.004 0.000 0.064
#> AB3B48ED-CFF9-4D66-BF3A-E9267D57BA14 2 0.5733 0.39191 0.028 0.632 0.008 0.332
#> 248A7931-1EB5-47E3-A966-E6AF62E21FC1 3 0.0592 0.84119 0.000 0.016 0.984 0.000
#> CB846F43-7719-4B7E-946B-32E6384F3CC4 2 0.6552 0.28094 0.032 0.544 0.028 0.396
#> 940E691A-04A2-410F-B1FB-A66A3BFE10E7 3 0.0592 0.84119 0.000 0.016 0.984 0.000
#> C3842EA2-E3BC-48DE-9B59-92145AC2F716 3 0.0592 0.84119 0.000 0.016 0.984 0.000
#> 497FB1B2-A998-44F3-8D69-6974314F941D 1 0.5592 0.47658 0.656 0.044 0.000 0.300
#> 4BAA88D6-4A88-4D54-9B0E-83365CC85C39 2 0.6829 0.63442 0.012 0.640 0.164 0.184
#> 7480A3B3-3BF8-4123-8E2E-8C2B52688EC6 3 0.5147 0.26103 0.000 0.460 0.536 0.004
#> AE3211D1-65C0-46B1-A67F-741C21A7D1C4 2 0.5315 0.62127 0.004 0.724 0.048 0.224
#> D7244456-CB99-4893-85FE-65082CC4F17C 2 0.4372 0.54133 0.000 0.728 0.004 0.268
#> C4E0F193-49DC-4A49-84BB-337AAF277145 4 0.6458 0.37533 0.408 0.072 0.000 0.520
#> E2DF7E97-6BE1-412C-B71D-151B87739653 2 0.6602 0.06830 0.040 0.496 0.020 0.444
#> 022BCEE2-4794-4D5D-87E5-22CD25FDBA98 2 0.5452 0.11452 0.000 0.556 0.428 0.016
#> 2AF33CEA-C327-4A31-84D8-C4F26E8A3ECF 1 0.0707 0.82372 0.980 0.000 0.000 0.020
#> E877B9C0-11C5-4CC8-BAE1-AC210535F3DB 1 0.1489 0.81953 0.952 0.000 0.004 0.044
#> 0E737E9F-1045-4B86-A290-ED927D5DE7BF 2 0.4525 0.68071 0.000 0.804 0.116 0.080
#> D1B88E26-3B64-4E1A-8E50-22AD100BD9F9 4 0.6403 0.62224 0.112 0.260 0.000 0.628
#> 3AEB8943-FE34-4014-B851-BBF83857A794 2 0.6005 0.32724 0.016 0.568 0.020 0.396
#> BECD727E-E3C1-4C42-9047-D97B7444B20B 4 0.6547 0.63361 0.124 0.260 0.000 0.616
#> AF866E63-9EA1-4669-B9C4-FC7E877334AE 2 0.3900 0.64342 0.000 0.816 0.020 0.164
#> F9C8E54A-4CE4-4839-B0CA-58678461EEF1 3 0.4819 0.53303 0.000 0.344 0.652 0.004
#> AE818BC4-05BF-4E85-A4AD-F3E43DD7D37A 2 0.4417 0.63871 0.000 0.796 0.160 0.044
#> BA73A860-CADE-408D-8D27-14EADA2B53B0 1 0.0188 0.82357 0.996 0.000 0.000 0.004
#> 688858C8-48CA-43E9-AE2C-B9D4F80B5EE9 2 0.4770 0.66016 0.004 0.780 0.048 0.168
#> EB1D52B2-17B3-491E-B484-1235633D6925 2 0.6192 0.15281 0.020 0.516 0.020 0.444
#> AE261B5D-3881-40B9-8EE7-26B950E0BE16 1 0.2589 0.78860 0.884 0.000 0.000 0.116
#> 8C9851D5-3091-4DE0-A59E-9122C0CA1CD2 2 0.4562 0.66179 0.000 0.792 0.056 0.152
#> C8180F95-4E9C-45DB-B959-B47F64167C2D 1 0.2402 0.80186 0.912 0.012 0.000 0.076
#> 552D3B42-8D22-4B64-B3A2-B3E5D51A8524 2 0.3895 0.66629 0.000 0.832 0.036 0.132
#> FED9F364-BC3F-4134-BF4B-4D24B0EB8315 1 0.6534 0.07850 0.516 0.056 0.008 0.420
#> 7B0D7792-C803-4DD0-B9BF-CB83DA2D199A 1 0.2081 0.80421 0.916 0.000 0.000 0.084
#> B4F82CBB-A47C-44C3-81AC-CF775FF06FCD 1 0.3401 0.75826 0.840 0.008 0.000 0.152
#> BFAB10CF-5B24-40F7-92E7-C2E60DD779EF 2 0.6553 0.11417 0.028 0.488 0.028 0.456
#> E4E259E1-48B2-4C76-B113-E46270742F53 2 0.4343 0.49758 0.000 0.732 0.264 0.004
#> 81FCBC31-367A-4B1C-A832-B133E4A43738 4 0.8083 0.46345 0.172 0.360 0.024 0.444
#> 8690FA0F-9C1C-4D97-813A-3FB56827FBFC 2 0.6382 0.36224 0.036 0.596 0.024 0.344
#> 9810CF0C-99D1-445B-B1F9-C956D2438495 3 0.3764 0.68882 0.000 0.216 0.784 0.000
#> 2F5073E1-9EDD-46B5-95E3-8314E2A5B620 4 0.6356 0.31788 0.044 0.380 0.012 0.564
#> B454F9FB-439A-43B5-877D-752D0F138AB5 3 0.5132 0.29467 0.000 0.448 0.548 0.004
#> 287F2B71-92F8-4D14-8249-C1BFBB254BE7 1 0.0000 0.82355 1.000 0.000 0.000 0.000
#> 52DC920F-0AD5-47CE-BD81-31843876B71E 1 0.2714 0.78770 0.884 0.004 0.000 0.112
#> 6BAC4B1B-C3FC-4A09-9821-232E510E6A47 1 0.4426 0.68665 0.772 0.024 0.000 0.204
#> A2B87EED-0D8E-4B20-85D3-FD9CC5E2E806 1 0.0000 0.82355 1.000 0.000 0.000 0.000
#> 43E6DB93-2DA6-4F0F-BF81-0C3869134D2B 1 0.0000 0.82355 1.000 0.000 0.000 0.000
#> 09A2ED74-A7C7-4DBB-8EDD-C80D0F0AEFDF 4 0.6428 0.65308 0.264 0.112 0.000 0.624
#> 35EDCB52-D4B5-4305-8A74-95EFE6F2BFB1 2 0.6647 0.10622 0.044 0.516 0.020 0.420
#> D5D18AF8-9CC2-496C-A83A-31BBA0195CFD 1 0.5967 0.27050 0.540 0.020 0.012 0.428
#> 03767EDF-2F8A-41DE-8D80-F4BE861225A3 4 0.3464 0.53065 0.004 0.124 0.016 0.856
#> 586BC656-AD9C-44EF-9ED4-87DEEB5C8AA6 1 0.0000 0.82355 1.000 0.000 0.000 0.000
#> 23CA1146-CB1B-4054-A4FF-200B87444BF9 1 0.0000 0.82355 1.000 0.000 0.000 0.000
#> 910E9B6D-E7D5-4C83-A19C-1EEA6E135639 1 0.3760 0.75249 0.836 0.028 0.000 0.136
#> F36353A3-6CE6-4347-A78B-0AAD8FAB14AD 1 0.0000 0.82355 1.000 0.000 0.000 0.000
#> 2045736E-7D0F-4B17-B74B-3B12AEE3E68C 1 0.0000 0.82355 1.000 0.000 0.000 0.000
#> 5EFA2C2D-30B3-4D66-9601-354711F9FC56 3 0.0592 0.84119 0.000 0.016 0.984 0.000
#> 3FBD381D-84C8-4680-980B-CC4B7924BE06 2 0.3913 0.65277 0.000 0.824 0.028 0.148
#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 4 0.4540 0.65098 0.104 0.072 0.008 0.816
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 4 0.5998 0.67008 0.240 0.092 0.000 0.668
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 2 0.4313 0.54970 0.000 0.736 0.004 0.260
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 2 0.4793 0.61439 0.000 0.756 0.040 0.204
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 4 0.6050 0.68257 0.232 0.100 0.000 0.668
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 2 0.4454 0.42381 0.000 0.692 0.308 0.000
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 4 0.7031 0.67686 0.200 0.224 0.000 0.576
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 1 0.5498 0.55003 0.680 0.048 0.000 0.272
#> A3343F40-F977-4F9B-856A-28781F10F4CD 2 0.4728 0.69030 0.000 0.792 0.104 0.104
#> DA144299-5541-47D7-A59E-C92896DF08FC 1 0.2760 0.78445 0.872 0.000 0.000 0.128
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 2 0.4483 0.44881 0.000 0.712 0.284 0.004
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.0000 0.82355 1.000 0.000 0.000 0.000
#> 617447CF-9327-4062-B22C-71A8944C948F 2 0.4663 0.54664 0.000 0.716 0.012 0.272
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0000 0.82355 1.000 0.000 0.000 0.000
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 2 0.4359 0.68618 0.000 0.816 0.100 0.084
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.1557 0.81570 0.944 0.000 0.000 0.056
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.4983 0.49462 0.000 0.704 0.272 0.024
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.0336 0.82396 0.992 0.000 0.000 0.008
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 3 0.0592 0.84119 0.000 0.016 0.984 0.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 2 0.4581 0.68104 0.000 0.800 0.080 0.120
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 3 0.4819 0.53303 0.000 0.344 0.652 0.004
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.5993 0.24184 0.528 0.016 0.016 0.440
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 2 0.6532 0.09231 0.048 0.508 0.012 0.432
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.4883 0.44965 0.000 0.696 0.288 0.016
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 1 0.5677 0.44538 0.628 0.040 0.000 0.332
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.2216 0.80002 0.908 0.000 0.000 0.092
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 3 0.4920 0.49363 0.000 0.368 0.628 0.004
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 3 0.4905 0.50010 0.000 0.364 0.632 0.004
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 4 0.6315 0.32125 0.432 0.060 0.000 0.508
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 2 0.6829 0.63442 0.012 0.640 0.164 0.184
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.0000 0.82355 1.000 0.000 0.000 0.000
#> DA1301D3-1F84-46C5-AB44-079493A81A51 4 0.6098 0.42412 0.044 0.340 0.008 0.608
#> A12B1681-B598-40C3-80FE-1801F3F1189D 1 0.5387 0.57644 0.696 0.048 0.000 0.256
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 4 0.5445 0.68622 0.140 0.108 0.004 0.748
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 1 0.0188 0.82357 0.996 0.000 0.000 0.004
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.5402 -0.04163 0.000 0.516 0.472 0.012
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.6743 0.12291 0.044 0.508 0.024 0.424
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 4 0.5923 0.69341 0.216 0.100 0.000 0.684
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.5917 -0.03643 0.000 0.520 0.444 0.036
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 3 0.4889 0.50832 0.000 0.360 0.636 0.004
#> 1D0379B1-0E99-4E6D-B890-907C92860654 4 0.7393 0.21627 0.096 0.436 0.020 0.448
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 4 0.4107 0.56411 0.016 0.176 0.004 0.804
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 4 0.6747 0.47006 0.372 0.100 0.000 0.528
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 4 0.5697 0.54805 0.056 0.280 0.000 0.664
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0000 0.82355 1.000 0.000 0.000 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.4290 0.60859 0.000 0.772 0.016 0.212
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.6139 0.10850 0.544 0.052 0.000 0.404
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.5917 -0.03643 0.000 0.520 0.444 0.036
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0000 0.82355 1.000 0.000 0.000 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.3948 0.66734 0.000 0.828 0.036 0.136
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 4 0.7009 0.25017 0.440 0.100 0.004 0.456
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.4292 0.68820 0.000 0.820 0.100 0.080
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.5078 0.58978 0.700 0.028 0.000 0.272
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.5747 0.62166 0.008 0.704 0.064 0.224
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.82355 1.000 0.000 0.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.82355 1.000 0.000 0.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.3972 0.60350 0.000 0.788 0.008 0.204
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.3428 0.76040 0.844 0.012 0.000 0.144
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.5537 0.29208 0.016 0.588 0.004 0.392
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0592 0.84119 0.000 0.016 0.984 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 3 0.4855 0.51980 0.000 0.352 0.644 0.004
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.1637 0.81345 0.000 0.060 0.940 0.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 1 0.0188 0.82357 0.996 0.000 0.000 0.004
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.5744 0.54586 0.000 0.676 0.256 0.068
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.4568 0.67978 0.000 0.800 0.076 0.124
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.4428 0.67004 0.000 0.808 0.068 0.124
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.4990 0.42537 0.000 0.640 0.008 0.352
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.82355 1.000 0.000 0.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.82355 1.000 0.000 0.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 4 0.6056 0.66262 0.248 0.092 0.000 0.660
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.1022 0.81981 0.968 0.000 0.000 0.032
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.5298 0.55732 0.000 0.708 0.244 0.048
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.4426 0.68578 0.000 0.812 0.096 0.092
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0469 0.82372 0.988 0.000 0.000 0.012
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.5356 0.61201 0.000 0.728 0.200 0.072
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.4267 0.68907 0.772 0.008 0.004 0.216
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.5913 0.29222 0.600 0.048 0.000 0.352
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0592 0.84119 0.000 0.016 0.984 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.4661 0.62768 0.728 0.016 0.000 0.256
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.82079 1.000 0.000 0.000 0.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0162 0.81954 0.000 0.004 0.996 0.000 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 5 0.5844 -0.07257 0.464 0.028 0.000 0.040 0.468
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.1768 0.80540 0.924 0.000 0.000 0.004 0.072
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 5 0.3901 0.30872 0.032 0.060 0.000 0.076 0.832
#> 1B76089D-785F-4353-A898-4E632023D482 5 0.5769 0.16894 0.408 0.048 0.000 0.020 0.524
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 1 0.5933 0.12151 0.492 0.024 0.000 0.052 0.432
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 5 0.6920 0.42447 0.192 0.120 0.000 0.100 0.588
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 5 0.4348 0.38927 0.096 0.048 0.000 0.052 0.804
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 1 0.2704 0.80651 0.896 0.008 0.004 0.028 0.064
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.4579 0.68759 0.740 0.012 0.004 0.032 0.212
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 3 0.5605 0.32276 0.000 0.404 0.520 0.076 0.000
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.82079 1.000 0.000 0.000 0.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 3 0.5788 0.17512 0.000 0.440 0.480 0.076 0.004
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 5 0.5411 0.24073 0.396 0.008 0.000 0.044 0.552
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.5363 0.42397 0.000 0.720 0.084 0.156 0.040
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0162 0.82123 0.996 0.000 0.000 0.000 0.004
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.82079 1.000 0.000 0.000 0.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 5 0.4865 0.43260 0.168 0.044 0.000 0.040 0.748
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.5107 0.53990 0.632 0.004 0.000 0.048 0.316
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 5 0.6386 0.39173 0.320 0.040 0.000 0.084 0.556
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.5389 0.43433 0.000 0.704 0.176 0.096 0.024
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#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 1 0.1153 0.81819 0.964 0.000 0.004 0.024 0.008
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.5855 0.45527 0.000 0.676 0.188 0.080 0.056
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.5206 0.35750 0.000 0.724 0.020 0.120 0.136
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.5910 0.26393 0.000 0.660 0.032 0.192 0.116
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.5520 -0.20935 0.000 0.560 0.000 0.076 0.364
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.82079 1.000 0.000 0.000 0.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.82079 1.000 0.000 0.000 0.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 5 0.5028 0.43156 0.204 0.036 0.000 0.040 0.720
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.1270 0.81291 0.948 0.000 0.000 0.000 0.052
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.5138 0.47167 0.000 0.732 0.168 0.056 0.044
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.4207 0.47162 0.000 0.812 0.036 0.060 0.092
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0579 0.82167 0.984 0.000 0.000 0.008 0.008
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.5186 0.48784 0.000 0.744 0.124 0.080 0.052
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.4312 0.69230 0.772 0.000 0.000 0.104 0.124
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.5415 0.26548 0.556 0.020 0.000 0.028 0.396
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0162 0.81954 0.000 0.004 0.996 0.000 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.4735 0.59465 0.668 0.004 0.000 0.032 0.296
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.81734 1.000 0.000 0.000 0.000 0.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.78031 0.000 0.000 1.000 0.000 0.000 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 5 0.5728 -0.01190 0.444 0.016 0.000 0.080 0.452 0.008
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.1802 0.80033 0.916 0.000 0.000 0.012 0.072 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 5 0.4713 0.17332 0.016 0.068 0.000 0.180 0.724 0.012
#> 1B76089D-785F-4353-A898-4E632023D482 5 0.5603 0.22380 0.388 0.040 0.000 0.048 0.520 0.004
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 5 0.5051 -0.01584 0.452 0.004 0.000 0.032 0.496 0.016
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 5 0.5928 0.37526 0.156 0.076 0.000 0.080 0.660 0.028
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 5 0.5228 0.24523 0.076 0.060 0.000 0.152 0.704 0.008
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 1 0.2897 0.78895 0.852 0.004 0.000 0.012 0.120 0.012
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.4171 0.65100 0.700 0.012 0.000 0.012 0.268 0.008
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 3 0.5751 0.32009 0.000 0.288 0.504 0.000 0.000 0.208
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.81734 1.000 0.000 0.000 0.000 0.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 3 0.6049 0.23178 0.000 0.336 0.464 0.004 0.004 0.192
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 5 0.5650 0.24943 0.368 0.012 0.000 0.072 0.532 0.016
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.5576 0.45443 0.000 0.648 0.064 0.052 0.012 0.224
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0146 0.81769 0.996 0.000 0.000 0.000 0.004 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.81734 1.000 0.000 0.000 0.000 0.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 5 0.5625 0.27838 0.140 0.056 0.000 0.128 0.668 0.008
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.5354 0.47330 0.588 0.000 0.000 0.116 0.288 0.008
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 5 0.6414 0.21226 0.300 0.028 0.000 0.144 0.512 0.016
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.5885 0.38274 0.000 0.584 0.156 0.024 0.004 0.232
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 5 0.6703 0.27157 0.120 0.144 0.000 0.100 0.596 0.040
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0000 0.81734 1.000 0.000 0.000 0.000 0.000 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 5 0.5735 0.10071 0.000 0.368 0.000 0.084 0.516 0.032
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 5 0.5684 0.28288 0.092 0.088 0.000 0.132 0.676 0.012
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.5224 0.55321 0.000 0.700 0.000 0.092 0.124 0.084
#> 375FE390-434B-41D3-9029-84065B1D7B6F 5 0.5877 0.19183 0.052 0.396 0.000 0.036 0.500 0.016
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 0.81734 1.000 0.000 0.000 0.000 0.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.5262 0.49890 0.000 0.688 0.068 0.036 0.016 0.192
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.5624 0.46259 0.000 0.600 0.004 0.048 0.284 0.064
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.5508 0.45190 0.000 0.652 0.116 0.028 0.008 0.196
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.5231 0.46502 0.000 0.680 0.104 0.024 0.008 0.184
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.4867 0.32085 0.524 0.004 0.000 0.032 0.432 0.008
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 3 0.5834 0.27799 0.000 0.304 0.480 0.000 0.000 0.216
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 5 0.4857 -0.07201 0.460 0.004 0.000 0.020 0.500 0.016
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 5 0.5163 -0.09059 0.464 0.004 0.000 0.052 0.472 0.008
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0000 0.78031 0.000 0.000 1.000 0.000 0.000 0.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.1674 0.81123 0.924 0.000 0.000 0.004 0.068 0.004
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.0000 0.78031 0.000 0.000 1.000 0.000 0.000 0.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 5 0.5773 0.16267 0.004 0.176 0.000 0.144 0.632 0.044
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.0000 0.78031 0.000 0.000 1.000 0.000 0.000 0.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.0000 0.78031 0.000 0.000 1.000 0.000 0.000 0.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 5 0.6610 0.36866 0.184 0.148 0.000 0.068 0.576 0.024
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 1 0.3636 0.74547 0.804 0.004 0.000 0.128 0.060 0.004
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.2631 0.76578 0.856 0.000 0.000 0.012 0.128 0.004
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 5 0.5971 0.35091 0.088 0.132 0.000 0.096 0.660 0.024
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 5 0.6783 0.34912 0.156 0.256 0.000 0.048 0.516 0.024
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.1471 0.80458 0.932 0.000 0.000 0.000 0.064 0.004
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 5 0.5696 0.33132 0.080 0.112 0.000 0.104 0.684 0.020
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.6299 0.44634 0.000 0.580 0.000 0.180 0.144 0.096
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 1 0.1628 0.81076 0.940 0.004 0.000 0.008 0.036 0.012
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.0000 0.78031 0.000 0.000 1.000 0.000 0.000 0.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.0603 0.81682 0.980 0.004 0.000 0.000 0.016 0.000
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 2 0.5563 0.43353 0.000 0.632 0.124 0.020 0.008 0.216
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 5 0.5957 0.23944 0.016 0.264 0.000 0.092 0.592 0.036
#> 208165C0-229B-49E2-A22A-575CA3157C9E 2 0.5680 0.38200 0.004 0.592 0.000 0.084 0.284 0.036
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 1 0.2660 0.79614 0.872 0.004 0.000 0.016 0.100 0.008
#> 01397021-8495-4D89-885A-166B4DBA0122 3 0.0000 0.78031 0.000 0.000 1.000 0.000 0.000 0.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 3 0.0000 0.78031 0.000 0.000 1.000 0.000 0.000 0.000
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.3412 0.72726 0.772 0.004 0.000 0.008 0.212 0.004
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 5 0.5928 0.19988 0.008 0.244 0.000 0.104 0.600 0.044
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 2 0.5628 0.36651 0.000 0.584 0.128 0.020 0.000 0.268
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 6 0.2302 0.99655 0.000 0.120 0.000 0.008 0.000 0.872
#> AA569A06-0F37-4492-93F3-60A4539A3E82 5 0.5407 0.13925 0.000 0.380 0.000 0.064 0.532 0.024
#> BC53FB75-94CA-48C3-875B-5987037D186F 2 0.5668 0.47458 0.000 0.664 0.148 0.028 0.024 0.136
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 1 0.0713 0.81700 0.972 0.000 0.000 0.000 0.028 0.000
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 2 0.5671 0.40302 0.000 0.596 0.140 0.016 0.004 0.244
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 5 0.5696 0.34898 0.068 0.136 0.000 0.072 0.688 0.036
#> DF67F589-A607-4B95-96B8-4BB344132312 6 0.2302 0.99655 0.000 0.120 0.000 0.008 0.000 0.872
#> A65233E6-C146-4ACF-8DDE-5FB12D8D9637 3 0.0000 0.78031 0.000 0.000 1.000 0.000 0.000 0.000
#> 7578C9A3-FFF8-45C4-AC28-1C6141A9A2AD 1 0.0000 0.81734 1.000 0.000 0.000 0.000 0.000 0.000
#> 4DF775B9-E2FE-4F5E-8329-C37E21C5D10E 5 0.5919 0.13517 0.008 0.356 0.000 0.076 0.524 0.036
#> 5E6B86C6-3D79-47BB-9FAF-CA22659CFEA7 1 0.4819 0.42683 0.560 0.012 0.000 0.016 0.400 0.012
#> 53286128-668B-47EA-9A5F-D768FDCCBE88 1 0.4929 0.21913 0.508 0.000 0.000 0.428 0.064 0.000
#> 01C9F351-97FE-4037-A879-9D96A3DD3FBB 3 0.6064 0.25063 0.000 0.324 0.468 0.004 0.004 0.200
#> 5487DB21-6A58-46AC-A2A1-E343082D41D8 1 0.4789 0.21079 0.500 0.004 0.000 0.032 0.460 0.004
#> 0FB3E997-4E31-4FA6-9654-11C3C0AF8D86 2 0.5390 0.56660 0.000 0.700 0.008 0.092 0.116 0.084
#> A0706E80-FDF9-4721-BEB4-90527F6D38C4 2 0.5840 0.47861 0.000 0.628 0.004 0.164 0.048 0.156
#> 5260226E-1826-4F54-8237-28993DD2EF04 3 0.0000 0.78031 0.000 0.000 1.000 0.000 0.000 0.000
#> F53F71A7-A399-49AB-8657-019C5C56F48C 2 0.6385 0.49338 0.000 0.620 0.036 0.068 0.152 0.124
#> 008159F2-5247-479A-8BFE-C394888D0B74 5 0.5667 0.23737 0.028 0.152 0.000 0.104 0.676 0.040
#> 9E6BA6FB-35F2-4510-94AE-3E7CDFED3D47 3 0.0000 0.78031 0.000 0.000 1.000 0.000 0.000 0.000
#> F12BE7AC-D2DD-4AD1-AB37-32DC85954F59 1 0.4401 0.62071 0.680 0.008 0.000 0.020 0.280 0.012
#> 38A6BA1F-B444-4155-A168-EC2DF0EE0785 1 0.2587 0.79150 0.864 0.004 0.000 0.008 0.120 0.004
#> B107D1DE-EE52-4E89-B75A-91124BFF99AE 3 0.0000 0.78031 0.000 0.000 1.000 0.000 0.000 0.000
#> D4D16D09-8895-4BEA-ABF7-F11C5D5BDCAA 5 0.4734 0.18179 0.016 0.072 0.000 0.176 0.724 0.012
#> 9A53C473-1364-4BB6-AD36-EF53E0208450 1 0.0458 0.81787 0.984 0.000 0.000 0.000 0.016 0.000
#> F00C0ED6-C811-4F32-BDB4-4ACA7861DC7D 2 0.5882 0.51154 0.000 0.632 0.000 0.132 0.148 0.088
#> 72618985-CD49-4B6F-8CB0-5EE590FAD09A 5 0.5933 0.23899 0.020 0.324 0.000 0.080 0.552 0.024
#> 978A315F-CCE9-4D03-A680-C0AD60B10557 2 0.4062 0.58929 0.000 0.800 0.012 0.032 0.048 0.108
#> B6EACAED-3944-4510-B685-0BB8D1651D4F 5 0.5925 0.12307 0.404 0.024 0.000 0.088 0.476 0.008
#> EBCF16B4-A804-45EB-8253-0F28A2645729 5 0.5919 0.13517 0.008 0.356 0.000 0.076 0.524 0.036
#> 637DC441-4A75-4DA8-8F65-91FDB5F103C7 2 0.5982 0.16028 0.000 0.464 0.004 0.068 0.416 0.048
#> 89F67654-A246-4307-9B17-4A1C01DB1AED 2 0.6185 0.44298 0.000 0.584 0.000 0.212 0.096 0.108
#> 3A8EB57B-71ED-4169-A8EB-624C67CDBBE1 2 0.6557 0.23194 0.000 0.460 0.304 0.020 0.012 0.204
#> CC4DA9C6-CAB2-44FF-8219-D293ECD07DD4 5 0.5296 0.25829 0.000 0.224 0.000 0.116 0.640 0.020
#> AEC4FDAA-8F60-43CE-8EBB-5629FA662F16 2 0.4797 0.53639 0.000 0.700 0.000 0.048 0.208 0.044
#> BFC0D795-64F4-48B3-AD08-8C564E5E5367 1 0.5249 0.31593 0.528 0.000 0.000 0.368 0.104 0.000
#> 907BBBA4-4E7B-4808-892E-F80525C3CFA3 5 0.6154 0.35681 0.112 0.196 0.000 0.056 0.616 0.020
#> 7F21FA19-1468-4A65-A10A-A9727218A5EF 1 0.0547 0.81808 0.980 0.000 0.000 0.000 0.020 0.000
#> 905A026A-0B13-4AD3-B2BB-9A5AE76920AF 5 0.5525 0.18129 0.396 0.016 0.000 0.040 0.524 0.024
#> 6DDFC760-7BED-4A68-8DDA-9453D0FC9C1D 1 0.0146 0.81759 0.996 0.000 0.000 0.000 0.004 0.000
#> B3AFF323-BAAD-4512-A837-20C430EA39D1 5 0.5552 0.30031 0.172 0.048 0.000 0.116 0.660 0.004
#> 193E9034-42A2-4701-AA3E-2E852CA5C043 1 0.0000 0.81734 1.000 0.000 0.000 0.000 0.000 0.000
#> 8B6127D5-D3BB-4E17-914C-3ED1E2A52078 2 0.4121 0.60185 0.000 0.800 0.012 0.032 0.088 0.068
#> BD6E5E3C-DC43-4A85-84DF-84C68ABB851A 5 0.5910 0.27948 0.072 0.128 0.000 0.092 0.672 0.036
#> 881EACBD-B314-4A9E-A6DE-58DF9466AFB3 1 0.3715 0.74723 0.792 0.012 0.000 0.020 0.164 0.012
#> 195A6DF6-437D-4964-8872-C44F13E2CA4C 2 0.6636 0.48334 0.000 0.612 0.056 0.124 0.088 0.120
#> C40FD0B3-4773-490D-A342-B1CE8CC0A5BD 1 0.0000 0.81734 1.000 0.000 0.000 0.000 0.000 0.000
#> 613454BF-1A66-4DBB-90D0-246FC212DA4A 5 0.5999 0.01233 0.004 0.416 0.000 0.080 0.460 0.040
#> 5F121320-0F61-4BC0-BB69-F5C9A93BC118 1 0.0000 0.81734 1.000 0.000 0.000 0.000 0.000 0.000
#> E5637874-962B-4C43-8339-A6625D754DA8 5 0.5214 0.04716 0.436 0.008 0.000 0.032 0.504 0.020
#> 7614BF19-E3A2-492A-ABC0-557B274CA326 1 0.3261 0.74373 0.792 0.004 0.000 0.008 0.192 0.004
#> 6EB070B1-45C3-46DB-BFF9-6D9A137EC3A8 1 0.4862 0.13033 0.480 0.004 0.000 0.020 0.480 0.016
#> 873EEA1A-8AA1-4C83-B001-7BD64343ADE1 1 0.0000 0.81734 1.000 0.000 0.000 0.000 0.000 0.000
#> 2DCF0812-AC29-4BC2-8929-4D3D7B0F6335 2 0.5902 0.12418 0.000 0.452 0.004 0.060 0.436 0.048
#> 9391B623-4EC1-43A2-85EC-7B80BE87827D 5 0.6575 0.33832 0.084 0.204 0.000 0.108 0.580 0.024
#> 32A000F1-BAEA-41D2-AC75-02255A5BF2F2 2 0.5269 0.55223 0.000 0.712 0.008 0.088 0.100 0.092
#> 9C1016CE-3EAB-4FA7-806B-C8F6B08B4EA1 1 0.1526 0.81251 0.944 0.004 0.000 0.008 0.036 0.008
#> C7C4E75E-887F-4D11-9FDC-32292895A6B3 5 0.6176 0.08048 0.016 0.108 0.000 0.296 0.548 0.032
#> 54739A62-512F-499F-AFE1-B7C631B35272 1 0.0363 0.81552 0.988 0.000 0.000 0.000 0.012 0.000
#> 4476DF0E-6BB4-4682-BF59-E61071D4184E 5 0.5422 0.30340 0.316 0.028 0.000 0.048 0.596 0.012
#> DCCC6566-8A72-411D-B8F0-CC92B6D973AF 2 0.5061 0.57204 0.000 0.732 0.024 0.048 0.132 0.064
#> 781AEC2C-2604-4DAA-A55C-D07A305AF32E 2 0.5928 0.37655 0.000 0.568 0.144 0.024 0.004 0.260
#> CB6BBA89-F467-4E0E-9DD1-04631E23D18C 5 0.5878 -0.04491 0.000 0.432 0.000 0.080 0.448 0.040
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#> 2045736E-7D0F-4B17-B74B-3B12AEE3E68C 1 0.0000 0.81734 1.000 0.000 0.000 0.000 0.000 0.000
#> 5EFA2C2D-30B3-4D66-9601-354711F9FC56 3 0.0000 0.78031 0.000 0.000 1.000 0.000 0.000 0.000
#> 3FBD381D-84C8-4680-980B-CC4B7924BE06 2 0.4440 0.59333 0.000 0.776 0.008 0.048 0.096 0.072
#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 4 0.6231 0.48580 0.060 0.048 0.000 0.444 0.428 0.020
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 5 0.5650 0.28750 0.164 0.044 0.000 0.128 0.656 0.008
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 2 0.5537 0.49707 0.000 0.656 0.000 0.120 0.168 0.056
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 2 0.5061 0.57204 0.000 0.732 0.024 0.048 0.132 0.064
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 5 0.5613 0.29039 0.152 0.056 0.000 0.116 0.668 0.008
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 2 0.6014 0.33696 0.000 0.536 0.168 0.016 0.004 0.276
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 5 0.6674 0.26410 0.116 0.140 0.000 0.104 0.600 0.040
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 1 0.4819 0.42683 0.560 0.012 0.000 0.016 0.400 0.012
#> A3343F40-F977-4F9B-856A-28781F10F4CD 2 0.3975 0.59845 0.000 0.812 0.020 0.024 0.056 0.088
#> DA144299-5541-47D7-A59E-C92896DF08FC 1 0.3250 0.74755 0.788 0.000 0.000 0.012 0.196 0.004
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 2 0.5992 0.31048 0.000 0.532 0.156 0.024 0.000 0.288
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.0000 0.81734 1.000 0.000 0.000 0.000 0.000 0.000
#> 617447CF-9327-4062-B22C-71A8944C948F 2 0.5670 0.48880 0.000 0.640 0.004 0.100 0.204 0.052
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0000 0.81734 1.000 0.000 0.000 0.000 0.000 0.000
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 2 0.4885 0.55577 0.000 0.736 0.012 0.088 0.036 0.128
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.1843 0.80684 0.912 0.000 0.000 0.004 0.080 0.004
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.6152 0.35147 0.000 0.564 0.152 0.032 0.008 0.244
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.0547 0.81817 0.980 0.000 0.000 0.000 0.020 0.000
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 3 0.0000 0.78031 0.000 0.000 1.000 0.000 0.000 0.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 2 0.4786 0.57519 0.000 0.748 0.008 0.064 0.064 0.116
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 3 0.5464 0.40529 0.000 0.260 0.564 0.000 0.000 0.176
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.4929 0.21913 0.508 0.000 0.000 0.428 0.064 0.000
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 5 0.6179 0.16669 0.032 0.376 0.000 0.080 0.492 0.020
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.6001 0.33170 0.000 0.544 0.156 0.028 0.000 0.272
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 1 0.4635 0.34416 0.536 0.004 0.000 0.024 0.432 0.004
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.2952 0.76758 0.828 0.004 0.000 0.008 0.156 0.004
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 3 0.5573 0.37076 0.000 0.288 0.536 0.000 0.000 0.176
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 3 0.5573 0.37130 0.000 0.288 0.536 0.000 0.000 0.176
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 5 0.5865 0.22566 0.356 0.024 0.000 0.100 0.516 0.004
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 2 0.7310 0.47131 0.000 0.528 0.080 0.068 0.180 0.144
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.0146 0.81755 0.996 0.000 0.000 0.000 0.004 0.000
#> DA1301D3-1F84-46C5-AB44-079493A81A51 5 0.5296 0.25829 0.000 0.224 0.000 0.116 0.640 0.020
#> A12B1681-B598-40C3-80FE-1801F3F1189D 1 0.4786 0.46032 0.576 0.012 0.000 0.016 0.384 0.012
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 5 0.6257 -0.00977 0.092 0.052 0.000 0.336 0.512 0.008
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 1 0.1628 0.81076 0.940 0.004 0.000 0.008 0.036 0.012
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.6082 0.04819 0.000 0.452 0.388 0.016 0.004 0.140
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 5 0.6210 -0.04452 0.028 0.420 0.000 0.056 0.456 0.040
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 5 0.5625 0.27838 0.140 0.056 0.000 0.128 0.668 0.008
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 6 0.2302 0.99655 0.000 0.120 0.000 0.008 0.000 0.872
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 3 0.5559 0.37660 0.000 0.284 0.540 0.000 0.000 0.176
#> 1D0379B1-0E99-4E6D-B890-907C92860654 5 0.6579 0.29365 0.048 0.280 0.000 0.084 0.544 0.044
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 4 0.5870 0.50238 0.000 0.120 0.000 0.484 0.376 0.020
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 5 0.5936 0.33406 0.272 0.040 0.000 0.068 0.596 0.024
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 5 0.5773 0.16267 0.004 0.176 0.000 0.144 0.632 0.044
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0000 0.81734 1.000 0.000 0.000 0.000 0.000 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.5781 0.52879 0.000 0.656 0.004 0.124 0.124 0.092
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.5629 -0.01189 0.464 0.016 0.000 0.080 0.436 0.004
#> ECC40A03-488E-4076-8A3A-234D968623AD 6 0.2302 0.99655 0.000 0.120 0.000 0.008 0.000 0.872
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0146 0.81769 0.996 0.000 0.000 0.000 0.004 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.4118 0.60185 0.000 0.792 0.004 0.036 0.104 0.064
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 5 0.5824 0.31304 0.332 0.040 0.000 0.048 0.560 0.020
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.4090 0.58734 0.000 0.808 0.024 0.044 0.036 0.088
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.4368 0.49787 0.604 0.004 0.000 0.016 0.372 0.004
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.5958 0.50840 0.000 0.604 0.016 0.052 0.252 0.076
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.81734 1.000 0.000 0.000 0.000 0.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.81734 1.000 0.000 0.000 0.000 0.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.5996 0.46868 0.000 0.612 0.000 0.180 0.080 0.128
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.3543 0.71517 0.756 0.000 0.000 0.016 0.224 0.004
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.5786 0.29780 0.000 0.544 0.000 0.080 0.332 0.044
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.78031 0.000 0.000 1.000 0.000 0.000 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 3 0.5514 0.39106 0.000 0.272 0.552 0.000 0.000 0.176
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.1500 0.73678 0.000 0.052 0.936 0.000 0.000 0.012
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 1 0.1699 0.81022 0.936 0.004 0.000 0.008 0.040 0.012
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.6749 0.43038 0.000 0.580 0.168 0.048 0.060 0.144
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.4755 0.58074 0.000 0.752 0.008 0.064 0.068 0.108
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.5808 0.48302 0.000 0.640 0.020 0.116 0.032 0.192
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.5604 0.41795 0.000 0.608 0.000 0.088 0.260 0.044
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.81734 1.000 0.000 0.000 0.000 0.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.81734 1.000 0.000 0.000 0.000 0.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 5 0.5767 0.26146 0.172 0.044 0.000 0.124 0.648 0.012
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.1411 0.80503 0.936 0.000 0.000 0.000 0.060 0.004
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.5596 0.47005 0.000 0.668 0.148 0.024 0.024 0.136
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.3792 0.58726 0.000 0.824 0.020 0.020 0.056 0.080
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0622 0.81729 0.980 0.000 0.000 0.012 0.008 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.5915 0.51146 0.000 0.664 0.100 0.044 0.044 0.148
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.3746 0.66856 0.760 0.000 0.000 0.192 0.048 0.000
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.5493 0.18577 0.532 0.016 0.000 0.064 0.380 0.008
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.78031 0.000 0.000 1.000 0.000 0.000 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.4174 0.53989 0.628 0.000 0.000 0.016 0.352 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", "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 17654 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'ATC' method.
#> Subgroups are detected by 'kmeans' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 3.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.996 0.957 0.983 0.4949 0.506 0.506
#> 3 3 0.957 0.937 0.974 0.2385 0.743 0.555
#> 4 4 0.828 0.844 0.933 0.1771 0.775 0.497
#> 5 5 0.751 0.769 0.869 0.0802 0.886 0.626
#> 6 6 0.745 0.683 0.813 0.0488 0.907 0.620
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
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.979 1.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 2 0.0000 0.987 0.000 1.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.0000 0.979 1.000 0.000
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.0000 0.979 1.000 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.0000 0.979 1.000 0.000
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.0000 0.979 1.000 0.000
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 1 0.0000 0.979 1.000 0.000
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 1 0.0000 0.979 1.000 0.000
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.0000 0.979 1.000 0.000
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 1 0.0000 0.979 1.000 0.000
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.0000 0.979 1.000 0.000
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 2 0.0000 0.987 0.000 1.000
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.979 1.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 2 0.0000 0.987 0.000 1.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 1 0.0000 0.979 1.000 0.000
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.0000 0.987 0.000 1.000
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0000 0.979 1.000 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.979 1.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 1 0.0000 0.979 1.000 0.000
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0000 0.979 1.000 0.000
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 1 0.0000 0.979 1.000 0.000
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.0000 0.987 0.000 1.000
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 1 0.0000 0.979 1.000 0.000
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0000 0.979 1.000 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 1 0.9580 0.397 0.620 0.380
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 1 0.0000 0.979 1.000 0.000
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.0000 0.987 0.000 1.000
#> 375FE390-434B-41D3-9029-84065B1D7B6F 1 0.9710 0.345 0.600 0.400
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 0.979 1.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.0000 0.987 0.000 1.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.0000 0.987 0.000 1.000
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#> F36353A3-6CE6-4347-A78B-0AAD8FAB14AD 1 0.0000 0.979 1.000 0.000
#> 2045736E-7D0F-4B17-B74B-3B12AEE3E68C 1 0.0000 0.979 1.000 0.000
#> 5EFA2C2D-30B3-4D66-9601-354711F9FC56 2 0.0000 0.987 0.000 1.000
#> 3FBD381D-84C8-4680-980B-CC4B7924BE06 2 0.0000 0.987 0.000 1.000
#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 1 0.0000 0.979 1.000 0.000
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 1 0.0000 0.979 1.000 0.000
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 2 0.0000 0.987 0.000 1.000
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 2 0.0000 0.987 0.000 1.000
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 1 0.0000 0.979 1.000 0.000
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 2 0.0000 0.987 0.000 1.000
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 1 0.0000 0.979 1.000 0.000
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 1 0.0000 0.979 1.000 0.000
#> A3343F40-F977-4F9B-856A-28781F10F4CD 2 0.0000 0.987 0.000 1.000
#> DA144299-5541-47D7-A59E-C92896DF08FC 1 0.0000 0.979 1.000 0.000
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 2 0.0000 0.987 0.000 1.000
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.0000 0.979 1.000 0.000
#> 617447CF-9327-4062-B22C-71A8944C948F 2 0.0000 0.987 0.000 1.000
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0000 0.979 1.000 0.000
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 2 0.0000 0.987 0.000 1.000
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.0000 0.979 1.000 0.000
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.0000 0.987 0.000 1.000
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.0000 0.979 1.000 0.000
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 2 0.0000 0.987 0.000 1.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 2 0.0000 0.987 0.000 1.000
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 2 0.0000 0.987 0.000 1.000
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.0000 0.979 1.000 0.000
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 1 0.0000 0.979 1.000 0.000
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.0000 0.987 0.000 1.000
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 1 0.0000 0.979 1.000 0.000
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.0000 0.979 1.000 0.000
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 2 0.0000 0.987 0.000 1.000
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 2 0.0000 0.987 0.000 1.000
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 1 0.0000 0.979 1.000 0.000
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 2 0.0000 0.987 0.000 1.000
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.0000 0.979 1.000 0.000
#> DA1301D3-1F84-46C5-AB44-079493A81A51 2 0.7745 0.704 0.228 0.772
#> A12B1681-B598-40C3-80FE-1801F3F1189D 1 0.0000 0.979 1.000 0.000
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 1 0.0000 0.979 1.000 0.000
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 1 0.0000 0.979 1.000 0.000
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.0000 0.987 0.000 1.000
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 1 0.9686 0.356 0.604 0.396
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 1 0.0000 0.979 1.000 0.000
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.0000 0.987 0.000 1.000
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.0000 0.987 0.000 1.000
#> 1D0379B1-0E99-4E6D-B890-907C92860654 1 0.0000 0.979 1.000 0.000
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.0000 0.987 0.000 1.000
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 1 0.0000 0.979 1.000 0.000
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 1 0.0000 0.979 1.000 0.000
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0000 0.979 1.000 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.0000 0.987 0.000 1.000
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.0000 0.979 1.000 0.000
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.0000 0.987 0.000 1.000
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0000 0.979 1.000 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.0000 0.987 0.000 1.000
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 1 0.0000 0.979 1.000 0.000
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.0000 0.987 0.000 1.000
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.0000 0.979 1.000 0.000
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.0000 0.987 0.000 1.000
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.979 1.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.979 1.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.0000 0.987 0.000 1.000
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.0000 0.979 1.000 0.000
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 1 0.9815 0.289 0.580 0.420
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 2 0.0000 0.987 0.000 1.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 2 0.0000 0.987 0.000 1.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 2 0.0000 0.987 0.000 1.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 1 0.0000 0.979 1.000 0.000
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.0000 0.987 0.000 1.000
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.0000 0.987 0.000 1.000
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.0000 0.987 0.000 1.000
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.0000 0.987 0.000 1.000
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.979 1.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.979 1.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.0000 0.979 1.000 0.000
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0000 0.979 1.000 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.0000 0.987 0.000 1.000
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.0000 0.987 0.000 1.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0000 0.979 1.000 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.0000 0.987 0.000 1.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.0000 0.979 1.000 0.000
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.0000 0.979 1.000 0.000
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 2 0.0000 0.987 0.000 1.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.0000 0.979 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.975 1.000 0.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.991 0.000 0.000 1.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.0000 0.975 1.000 0.000 0.000
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.0000 0.975 1.000 0.000 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.2537 0.891 0.920 0.080 0.000
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.0000 0.975 1.000 0.000 0.000
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 1 0.0000 0.975 1.000 0.000 0.000
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 2 0.3551 0.809 0.132 0.868 0.000
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.4555 0.736 0.800 0.200 0.000
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 1 0.0000 0.975 1.000 0.000 0.000
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.0000 0.975 1.000 0.000 0.000
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 3 0.0000 0.991 0.000 0.000 1.000
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.975 1.000 0.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 3 0.0000 0.991 0.000 0.000 1.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 1 0.0000 0.975 1.000 0.000 0.000
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.2165 0.912 0.000 0.936 0.064
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0000 0.975 1.000 0.000 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.975 1.000 0.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 2 0.5098 0.643 0.248 0.752 0.000
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0000 0.975 1.000 0.000 0.000
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 1 0.0000 0.975 1.000 0.000 0.000
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.2165 0.912 0.000 0.936 0.064
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 1 0.0000 0.975 1.000 0.000 0.000
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0000 0.975 1.000 0.000 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 2 0.0000 0.958 0.000 1.000 0.000
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 1 0.2066 0.913 0.940 0.060 0.000
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.0000 0.958 0.000 1.000 0.000
#> 375FE390-434B-41D3-9029-84065B1D7B6F 2 0.0000 0.958 0.000 1.000 0.000
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 0.975 1.000 0.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.2165 0.912 0.000 0.936 0.064
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.0000 0.958 0.000 1.000 0.000
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.0000 0.958 0.000 1.000 0.000
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.0000 0.958 0.000 1.000 0.000
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.0000 0.975 1.000 0.000 0.000
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 3 0.1289 0.960 0.000 0.032 0.968
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 1 0.0000 0.975 1.000 0.000 0.000
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 1 0.0000 0.975 1.000 0.000 0.000
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0000 0.991 0.000 0.000 1.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.0000 0.975 1.000 0.000 0.000
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.0000 0.991 0.000 0.000 1.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 2 0.0000 0.958 0.000 1.000 0.000
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.0000 0.991 0.000 0.000 1.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.0000 0.991 0.000 0.000 1.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 1 0.2066 0.913 0.940 0.060 0.000
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 1 0.0000 0.975 1.000 0.000 0.000
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.0000 0.975 1.000 0.000 0.000
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 2 0.0000 0.958 0.000 1.000 0.000
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 1 0.0000 0.975 1.000 0.000 0.000
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.0000 0.975 1.000 0.000 0.000
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 2 0.0000 0.958 0.000 1.000 0.000
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.0000 0.958 0.000 1.000 0.000
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 1 0.0000 0.975 1.000 0.000 0.000
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.0000 0.991 0.000 0.000 1.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.0000 0.975 1.000 0.000 0.000
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 2 0.0000 0.958 0.000 1.000 0.000
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 2 0.0000 0.958 0.000 1.000 0.000
#> 208165C0-229B-49E2-A22A-575CA3157C9E 2 0.0000 0.958 0.000 1.000 0.000
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 1 0.0000 0.975 1.000 0.000 0.000
#> 01397021-8495-4D89-885A-166B4DBA0122 3 0.0000 0.991 0.000 0.000 1.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 3 0.0000 0.991 0.000 0.000 1.000
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.0000 0.975 1.000 0.000 0.000
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 2 0.0000 0.958 0.000 1.000 0.000
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 2 0.2165 0.912 0.000 0.936 0.064
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 3 0.0000 0.991 0.000 0.000 1.000
#> AA569A06-0F37-4492-93F3-60A4539A3E82 2 0.0000 0.958 0.000 1.000 0.000
#> BC53FB75-94CA-48C3-875B-5987037D186F 2 0.0000 0.958 0.000 1.000 0.000
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 1 0.0000 0.975 1.000 0.000 0.000
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 2 0.2165 0.912 0.000 0.936 0.064
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 2 0.0000 0.958 0.000 1.000 0.000
#> DF67F589-A607-4B95-96B8-4BB344132312 2 0.5650 0.563 0.000 0.688 0.312
#> A65233E6-C146-4ACF-8DDE-5FB12D8D9637 3 0.0000 0.991 0.000 0.000 1.000
#> 7578C9A3-FFF8-45C4-AC28-1C6141A9A2AD 1 0.0000 0.975 1.000 0.000 0.000
#> 4DF775B9-E2FE-4F5E-8329-C37E21C5D10E 2 0.0000 0.958 0.000 1.000 0.000
#> 5E6B86C6-3D79-47BB-9FAF-CA22659CFEA7 1 0.0000 0.975 1.000 0.000 0.000
#> 53286128-668B-47EA-9A5F-D768FDCCBE88 1 0.0000 0.975 1.000 0.000 0.000
#> 01C9F351-97FE-4037-A879-9D96A3DD3FBB 2 0.2356 0.906 0.000 0.928 0.072
#> 5487DB21-6A58-46AC-A2A1-E343082D41D8 1 0.0000 0.975 1.000 0.000 0.000
#> 0FB3E997-4E31-4FA6-9654-11C3C0AF8D86 2 0.0000 0.958 0.000 1.000 0.000
#> A0706E80-FDF9-4721-BEB4-90527F6D38C4 2 0.0000 0.958 0.000 1.000 0.000
#> 5260226E-1826-4F54-8237-28993DD2EF04 3 0.0000 0.991 0.000 0.000 1.000
#> F53F71A7-A399-49AB-8657-019C5C56F48C 2 0.0000 0.958 0.000 1.000 0.000
#> 008159F2-5247-479A-8BFE-C394888D0B74 2 0.0000 0.958 0.000 1.000 0.000
#> 9E6BA6FB-35F2-4510-94AE-3E7CDFED3D47 3 0.0000 0.991 0.000 0.000 1.000
#> F12BE7AC-D2DD-4AD1-AB37-32DC85954F59 1 0.0000 0.975 1.000 0.000 0.000
#> 38A6BA1F-B444-4155-A168-EC2DF0EE0785 1 0.0000 0.975 1.000 0.000 0.000
#> B107D1DE-EE52-4E89-B75A-91124BFF99AE 3 0.0000 0.991 0.000 0.000 1.000
#> D4D16D09-8895-4BEA-ABF7-F11C5D5BDCAA 1 0.6126 0.348 0.600 0.400 0.000
#> 9A53C473-1364-4BB6-AD36-EF53E0208450 1 0.0000 0.975 1.000 0.000 0.000
#> F00C0ED6-C811-4F32-BDB4-4ACA7861DC7D 2 0.0000 0.958 0.000 1.000 0.000
#> 72618985-CD49-4B6F-8CB0-5EE590FAD09A 2 0.0000 0.958 0.000 1.000 0.000
#> 978A315F-CCE9-4D03-A680-C0AD60B10557 2 0.0000 0.958 0.000 1.000 0.000
#> B6EACAED-3944-4510-B685-0BB8D1651D4F 1 0.0000 0.975 1.000 0.000 0.000
#> EBCF16B4-A804-45EB-8253-0F28A2645729 2 0.0000 0.958 0.000 1.000 0.000
#> 637DC441-4A75-4DA8-8F65-91FDB5F103C7 2 0.0000 0.958 0.000 1.000 0.000
#> 89F67654-A246-4307-9B17-4A1C01DB1AED 2 0.0000 0.958 0.000 1.000 0.000
#> 3A8EB57B-71ED-4169-A8EB-624C67CDBBE1 2 0.2165 0.912 0.000 0.936 0.064
#> CC4DA9C6-CAB2-44FF-8219-D293ECD07DD4 2 0.0000 0.958 0.000 1.000 0.000
#> AEC4FDAA-8F60-43CE-8EBB-5629FA662F16 2 0.0000 0.958 0.000 1.000 0.000
#> BFC0D795-64F4-48B3-AD08-8C564E5E5367 1 0.0000 0.975 1.000 0.000 0.000
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#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 1 0.0237 0.971 0.996 0.004 0.000
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.5650 0.563 0.000 0.688 0.312
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 3 0.0000 0.991 0.000 0.000 1.000
#> 1D0379B1-0E99-4E6D-B890-907C92860654 2 0.0000 0.958 0.000 1.000 0.000
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.0000 0.958 0.000 1.000 0.000
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 2 0.6045 0.385 0.380 0.620 0.000
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 2 0.0000 0.958 0.000 1.000 0.000
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0000 0.975 1.000 0.000 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.0000 0.958 0.000 1.000 0.000
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.0000 0.975 1.000 0.000 0.000
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.5363 0.620 0.000 0.724 0.276
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0000 0.975 1.000 0.000 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.0000 0.958 0.000 1.000 0.000
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 1 0.4121 0.783 0.832 0.168 0.000
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.0000 0.958 0.000 1.000 0.000
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.0000 0.975 1.000 0.000 0.000
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.0000 0.958 0.000 1.000 0.000
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.975 1.000 0.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.975 1.000 0.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.0000 0.958 0.000 1.000 0.000
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.0000 0.975 1.000 0.000 0.000
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.0000 0.958 0.000 1.000 0.000
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.991 0.000 0.000 1.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 3 0.0000 0.991 0.000 0.000 1.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.0000 0.991 0.000 0.000 1.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 1 0.0000 0.975 1.000 0.000 0.000
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.0000 0.958 0.000 1.000 0.000
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.0000 0.958 0.000 1.000 0.000
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.2165 0.912 0.000 0.936 0.064
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.0000 0.958 0.000 1.000 0.000
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.975 1.000 0.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.975 1.000 0.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.0000 0.975 1.000 0.000 0.000
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0000 0.975 1.000 0.000 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.0000 0.958 0.000 1.000 0.000
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.0000 0.958 0.000 1.000 0.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0000 0.975 1.000 0.000 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.0000 0.958 0.000 1.000 0.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.0000 0.975 1.000 0.000 0.000
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.0000 0.975 1.000 0.000 0.000
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.991 0.000 0.000 1.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.0000 0.975 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.91276 1.000 0.000 0.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.99785 0.000 0.000 1.000 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 4 0.1022 0.88420 0.032 0.000 0.000 0.968
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.0000 0.91276 1.000 0.000 0.000 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 4 0.0469 0.89407 0.012 0.000 0.000 0.988
#> 1B76089D-785F-4353-A898-4E632023D482 4 0.4543 0.49373 0.324 0.000 0.000 0.676
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 4 0.0707 0.89222 0.020 0.000 0.000 0.980
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 4 0.0592 0.89440 0.000 0.016 0.000 0.984
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 4 0.0469 0.89407 0.012 0.000 0.000 0.988
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 1 0.4746 0.44180 0.632 0.000 0.000 0.368
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.4855 0.36984 0.600 0.000 0.000 0.400
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 2 0.4804 0.39425 0.000 0.616 0.384 0.000
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.91276 1.000 0.000 0.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 2 0.3486 0.75029 0.000 0.812 0.188 0.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 4 0.4543 0.50066 0.324 0.000 0.000 0.676
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.0188 0.93173 0.000 0.996 0.000 0.004
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0000 0.91276 1.000 0.000 0.000 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.91276 1.000 0.000 0.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 4 0.0524 0.89499 0.008 0.004 0.000 0.988
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0000 0.91276 1.000 0.000 0.000 0.000
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 4 0.0336 0.89447 0.008 0.000 0.000 0.992
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.0000 0.93170 0.000 1.000 0.000 0.000
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 4 0.0592 0.89363 0.016 0.000 0.000 0.984
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0000 0.91276 1.000 0.000 0.000 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 4 0.0469 0.89498 0.000 0.012 0.000 0.988
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 4 0.0469 0.89407 0.012 0.000 0.000 0.988
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.0188 0.93173 0.000 0.996 0.000 0.004
#> 375FE390-434B-41D3-9029-84065B1D7B6F 4 0.2081 0.84995 0.000 0.084 0.000 0.916
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 0.91276 1.000 0.000 0.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.0000 0.93170 0.000 1.000 0.000 0.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.0000 0.93170 0.000 1.000 0.000 0.000
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.0000 0.93170 0.000 1.000 0.000 0.000
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.0000 0.93170 0.000 1.000 0.000 0.000
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.4981 0.20331 0.536 0.000 0.000 0.464
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 2 0.0592 0.92127 0.000 0.984 0.016 0.000
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 4 0.1389 0.87597 0.048 0.000 0.000 0.952
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 4 0.2973 0.79036 0.144 0.000 0.000 0.856
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0000 0.99785 0.000 0.000 1.000 0.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.0000 0.91276 1.000 0.000 0.000 0.000
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.0000 0.99785 0.000 0.000 1.000 0.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 4 0.0707 0.89297 0.000 0.020 0.000 0.980
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.0000 0.99785 0.000 0.000 1.000 0.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.0000 0.99785 0.000 0.000 1.000 0.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 4 0.0469 0.89407 0.012 0.000 0.000 0.988
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 1 0.4776 0.43482 0.624 0.000 0.000 0.376
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.0000 0.91276 1.000 0.000 0.000 0.000
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 4 0.0707 0.89297 0.000 0.020 0.000 0.980
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 4 0.0469 0.89407 0.012 0.000 0.000 0.988
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.0000 0.91276 1.000 0.000 0.000 0.000
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 4 0.0336 0.89495 0.000 0.008 0.000 0.992
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.3975 0.69167 0.000 0.760 0.000 0.240
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 1 0.0000 0.91276 1.000 0.000 0.000 0.000
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.0000 0.99785 0.000 0.000 1.000 0.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.0000 0.91276 1.000 0.000 0.000 0.000
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 2 0.0000 0.93170 0.000 1.000 0.000 0.000
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 4 0.2760 0.80520 0.000 0.128 0.000 0.872
#> 208165C0-229B-49E2-A22A-575CA3157C9E 4 0.0707 0.89297 0.000 0.020 0.000 0.980
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 1 0.0000 0.91276 1.000 0.000 0.000 0.000
#> 01397021-8495-4D89-885A-166B4DBA0122 3 0.0000 0.99785 0.000 0.000 1.000 0.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 3 0.0000 0.99785 0.000 0.000 1.000 0.000
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.0000 0.91276 1.000 0.000 0.000 0.000
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 4 0.2704 0.80944 0.000 0.124 0.000 0.876
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 2 0.0188 0.93173 0.000 0.996 0.000 0.004
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 2 0.0804 0.91978 0.000 0.980 0.012 0.008
#> AA569A06-0F37-4492-93F3-60A4539A3E82 2 0.4999 0.10462 0.000 0.508 0.000 0.492
#> BC53FB75-94CA-48C3-875B-5987037D186F 2 0.0000 0.93170 0.000 1.000 0.000 0.000
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 1 0.0000 0.91276 1.000 0.000 0.000 0.000
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 2 0.0000 0.93170 0.000 1.000 0.000 0.000
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 4 0.0707 0.89297 0.000 0.020 0.000 0.980
#> DF67F589-A607-4B95-96B8-4BB344132312 2 0.0672 0.92264 0.000 0.984 0.008 0.008
#> A65233E6-C146-4ACF-8DDE-5FB12D8D9637 3 0.0000 0.99785 0.000 0.000 1.000 0.000
#> 7578C9A3-FFF8-45C4-AC28-1C6141A9A2AD 1 0.0000 0.91276 1.000 0.000 0.000 0.000
#> 4DF775B9-E2FE-4F5E-8329-C37E21C5D10E 4 0.0469 0.89498 0.000 0.012 0.000 0.988
#> 5E6B86C6-3D79-47BB-9FAF-CA22659CFEA7 1 0.5000 0.08551 0.504 0.000 0.000 0.496
#> 53286128-668B-47EA-9A5F-D768FDCCBE88 1 0.0000 0.91276 1.000 0.000 0.000 0.000
#> 01C9F351-97FE-4037-A879-9D96A3DD3FBB 2 0.0000 0.93170 0.000 1.000 0.000 0.000
#> 5487DB21-6A58-46AC-A2A1-E343082D41D8 1 0.4996 0.13408 0.516 0.000 0.000 0.484
#> 0FB3E997-4E31-4FA6-9654-11C3C0AF8D86 2 0.0188 0.93173 0.000 0.996 0.000 0.004
#> A0706E80-FDF9-4721-BEB4-90527F6D38C4 2 0.0188 0.93173 0.000 0.996 0.000 0.004
#> 5260226E-1826-4F54-8237-28993DD2EF04 3 0.0000 0.99785 0.000 0.000 1.000 0.000
#> F53F71A7-A399-49AB-8657-019C5C56F48C 2 0.0336 0.92788 0.000 0.992 0.000 0.008
#> 008159F2-5247-479A-8BFE-C394888D0B74 4 0.0707 0.89297 0.000 0.020 0.000 0.980
#> 9E6BA6FB-35F2-4510-94AE-3E7CDFED3D47 3 0.0000 0.99785 0.000 0.000 1.000 0.000
#> F12BE7AC-D2DD-4AD1-AB37-32DC85954F59 4 0.4382 0.56065 0.296 0.000 0.000 0.704
#> 38A6BA1F-B444-4155-A168-EC2DF0EE0785 1 0.0469 0.90591 0.988 0.000 0.000 0.012
#> B107D1DE-EE52-4E89-B75A-91124BFF99AE 3 0.0000 0.99785 0.000 0.000 1.000 0.000
#> D4D16D09-8895-4BEA-ABF7-F11C5D5BDCAA 4 0.0469 0.89407 0.012 0.000 0.000 0.988
#> 9A53C473-1364-4BB6-AD36-EF53E0208450 1 0.0000 0.91276 1.000 0.000 0.000 0.000
#> F00C0ED6-C811-4F32-BDB4-4ACA7861DC7D 2 0.0188 0.93173 0.000 0.996 0.000 0.004
#> 72618985-CD49-4B6F-8CB0-5EE590FAD09A 4 0.1211 0.88340 0.000 0.040 0.000 0.960
#> 978A315F-CCE9-4D03-A680-C0AD60B10557 2 0.0188 0.93173 0.000 0.996 0.000 0.004
#> B6EACAED-3944-4510-B685-0BB8D1651D4F 4 0.0469 0.89407 0.012 0.000 0.000 0.988
#> EBCF16B4-A804-45EB-8253-0F28A2645729 4 0.0469 0.89498 0.000 0.012 0.000 0.988
#> 637DC441-4A75-4DA8-8F65-91FDB5F103C7 2 0.3528 0.76172 0.000 0.808 0.000 0.192
#> 89F67654-A246-4307-9B17-4A1C01DB1AED 2 0.0188 0.93173 0.000 0.996 0.000 0.004
#> 3A8EB57B-71ED-4169-A8EB-624C67CDBBE1 2 0.0000 0.93170 0.000 1.000 0.000 0.000
#> CC4DA9C6-CAB2-44FF-8219-D293ECD07DD4 4 0.3400 0.75471 0.000 0.180 0.000 0.820
#> AEC4FDAA-8F60-43CE-8EBB-5629FA662F16 2 0.3975 0.69579 0.000 0.760 0.000 0.240
#> BFC0D795-64F4-48B3-AD08-8C564E5E5367 1 0.0188 0.91093 0.996 0.000 0.000 0.004
#> 907BBBA4-4E7B-4808-892E-F80525C3CFA3 4 0.0469 0.89498 0.000 0.012 0.000 0.988
#> 7F21FA19-1468-4A65-A10A-A9727218A5EF 1 0.0000 0.91276 1.000 0.000 0.000 0.000
#> 905A026A-0B13-4AD3-B2BB-9A5AE76920AF 4 0.3356 0.75376 0.176 0.000 0.000 0.824
#> 6DDFC760-7BED-4A68-8DDA-9453D0FC9C1D 1 0.0000 0.91276 1.000 0.000 0.000 0.000
#> B3AFF323-BAAD-4512-A837-20C430EA39D1 4 0.0469 0.89407 0.012 0.000 0.000 0.988
#> 193E9034-42A2-4701-AA3E-2E852CA5C043 1 0.0000 0.91276 1.000 0.000 0.000 0.000
#> 8B6127D5-D3BB-4E17-914C-3ED1E2A52078 2 0.0188 0.93173 0.000 0.996 0.000 0.004
#> BD6E5E3C-DC43-4A85-84DF-84C68ABB851A 4 0.0592 0.89440 0.000 0.016 0.000 0.984
#> 881EACBD-B314-4A9E-A6DE-58DF9466AFB3 4 0.0524 0.89573 0.004 0.008 0.000 0.988
#> 195A6DF6-437D-4964-8872-C44F13E2CA4C 2 0.0188 0.93173 0.000 0.996 0.000 0.004
#> C40FD0B3-4773-490D-A342-B1CE8CC0A5BD 1 0.0000 0.91276 1.000 0.000 0.000 0.000
#> 613454BF-1A66-4DBB-90D0-246FC212DA4A 4 0.0469 0.89498 0.000 0.012 0.000 0.988
#> 5F121320-0F61-4BC0-BB69-F5C9A93BC118 1 0.0000 0.91276 1.000 0.000 0.000 0.000
#> E5637874-962B-4C43-8339-A6625D754DA8 4 0.0707 0.89222 0.020 0.000 0.000 0.980
#> 7614BF19-E3A2-492A-ABC0-557B274CA326 1 0.0000 0.91276 1.000 0.000 0.000 0.000
#> 6EB070B1-45C3-46DB-BFF9-6D9A137EC3A8 4 0.1389 0.87648 0.048 0.000 0.000 0.952
#> 873EEA1A-8AA1-4C83-B001-7BD64343ADE1 1 0.0000 0.91276 1.000 0.000 0.000 0.000
#> 2DCF0812-AC29-4BC2-8929-4D3D7B0F6335 2 0.4981 0.21179 0.000 0.536 0.000 0.464
#> 9391B623-4EC1-43A2-85EC-7B80BE87827D 4 0.0469 0.89407 0.012 0.000 0.000 0.988
#> 32A000F1-BAEA-41D2-AC75-02255A5BF2F2 2 0.0188 0.93173 0.000 0.996 0.000 0.004
#> 9C1016CE-3EAB-4FA7-806B-C8F6B08B4EA1 1 0.0188 0.91093 0.996 0.000 0.000 0.004
#> C7C4E75E-887F-4D11-9FDC-32292895A6B3 4 0.0707 0.89297 0.000 0.020 0.000 0.980
#> 54739A62-512F-499F-AFE1-B7C631B35272 1 0.0000 0.91276 1.000 0.000 0.000 0.000
#> 4476DF0E-6BB4-4682-BF59-E61071D4184E 4 0.0469 0.89407 0.012 0.000 0.000 0.988
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#> DA1301D3-1F84-46C5-AB44-079493A81A51 4 0.0592 0.89449 0.000 0.016 0.000 0.984
#> A12B1681-B598-40C3-80FE-1801F3F1189D 1 0.2868 0.80094 0.864 0.000 0.000 0.136
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 4 0.0592 0.89440 0.000 0.016 0.000 0.984
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 1 0.0188 0.91093 0.996 0.000 0.000 0.004
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.0000 0.93170 0.000 1.000 0.000 0.000
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 4 0.3873 0.67174 0.000 0.228 0.000 0.772
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 4 0.0469 0.89407 0.012 0.000 0.000 0.988
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.0672 0.92264 0.000 0.984 0.008 0.008
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.4193 0.63588 0.000 0.732 0.268 0.000
#> 1D0379B1-0E99-4E6D-B890-907C92860654 4 0.0707 0.89433 0.000 0.020 0.000 0.980
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.4761 0.44775 0.000 0.628 0.000 0.372
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 4 0.0592 0.89440 0.000 0.016 0.000 0.984
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 4 0.3356 0.74998 0.000 0.176 0.000 0.824
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0000 0.91276 1.000 0.000 0.000 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.0188 0.93173 0.000 0.996 0.000 0.004
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.4955 0.26460 0.556 0.000 0.000 0.444
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.0672 0.92264 0.000 0.984 0.008 0.008
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0000 0.91276 1.000 0.000 0.000 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.0188 0.93173 0.000 0.996 0.000 0.004
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 4 0.0469 0.89407 0.012 0.000 0.000 0.988
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.0188 0.93173 0.000 0.996 0.000 0.004
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.4866 0.36470 0.596 0.000 0.000 0.404
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.0000 0.93170 0.000 1.000 0.000 0.000
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.91276 1.000 0.000 0.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.91276 1.000 0.000 0.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.0188 0.93173 0.000 0.996 0.000 0.004
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 4 0.1637 0.86625 0.060 0.000 0.000 0.940
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 4 0.4164 0.60911 0.000 0.264 0.000 0.736
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.99785 0.000 0.000 1.000 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 2 0.3486 0.75284 0.000 0.812 0.188 0.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.0000 0.99785 0.000 0.000 1.000 0.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 1 0.0000 0.91276 1.000 0.000 0.000 0.000
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.0000 0.93170 0.000 1.000 0.000 0.000
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.0188 0.93173 0.000 0.996 0.000 0.004
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.0188 0.93173 0.000 0.996 0.000 0.004
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.4933 0.29376 0.000 0.568 0.000 0.432
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.91276 1.000 0.000 0.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.91276 1.000 0.000 0.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 4 0.4500 0.51122 0.316 0.000 0.000 0.684
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0000 0.91276 1.000 0.000 0.000 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.0000 0.93170 0.000 1.000 0.000 0.000
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.0000 0.93170 0.000 1.000 0.000 0.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0000 0.91276 1.000 0.000 0.000 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.0000 0.93170 0.000 1.000 0.000 0.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.0188 0.91093 0.996 0.000 0.000 0.004
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.4877 0.36279 0.592 0.000 0.000 0.408
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.99785 0.000 0.000 1.000 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.4977 0.21600 0.540 0.000 0.000 0.460
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.9137 1.000 0.000 0.000 0.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.9850 0.000 0.000 1.000 0.000 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 5 0.1628 0.7817 0.008 0.000 0.000 0.056 0.936
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.0000 0.9137 1.000 0.000 0.000 0.000 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 5 0.2966 0.7124 0.000 0.000 0.000 0.184 0.816
#> 1B76089D-785F-4353-A898-4E632023D482 5 0.1638 0.7850 0.064 0.000 0.000 0.004 0.932
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 4 0.4030 0.5396 0.000 0.000 0.000 0.648 0.352
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 4 0.2852 0.7095 0.000 0.000 0.000 0.828 0.172
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 5 0.3210 0.6878 0.000 0.000 0.000 0.212 0.788
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 5 0.6285 0.0798 0.392 0.000 0.000 0.152 0.456
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 5 0.4800 0.5929 0.196 0.000 0.000 0.088 0.716
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 2 0.2377 0.8121 0.000 0.872 0.128 0.000 0.000
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.9137 1.000 0.000 0.000 0.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 2 0.0955 0.8822 0.000 0.968 0.028 0.004 0.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 4 0.5441 0.4633 0.080 0.000 0.000 0.596 0.324
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.1043 0.8885 0.000 0.960 0.000 0.040 0.000
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0000 0.9137 1.000 0.000 0.000 0.000 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.9137 1.000 0.000 0.000 0.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 5 0.3210 0.6878 0.000 0.000 0.000 0.212 0.788
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0000 0.9137 1.000 0.000 0.000 0.000 0.000
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 5 0.4210 0.1396 0.000 0.000 0.000 0.412 0.588
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.0609 0.8902 0.000 0.980 0.000 0.020 0.000
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 4 0.3837 0.5988 0.000 0.000 0.000 0.692 0.308
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0000 0.9137 1.000 0.000 0.000 0.000 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 4 0.3789 0.6674 0.000 0.016 0.000 0.760 0.224
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 5 0.1732 0.7768 0.000 0.000 0.000 0.080 0.920
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.2648 0.8551 0.000 0.848 0.000 0.152 0.000
#> 375FE390-434B-41D3-9029-84065B1D7B6F 4 0.3184 0.7318 0.000 0.048 0.000 0.852 0.100
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 0.9137 1.000 0.000 0.000 0.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.0963 0.8886 0.000 0.964 0.000 0.036 0.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.1732 0.8801 0.000 0.920 0.000 0.080 0.000
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.1121 0.8889 0.000 0.956 0.000 0.044 0.000
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.1671 0.8809 0.000 0.924 0.000 0.076 0.000
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 5 0.1908 0.7710 0.092 0.000 0.000 0.000 0.908
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 2 0.0404 0.8900 0.000 0.988 0.000 0.012 0.000
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 4 0.4298 0.5321 0.008 0.000 0.000 0.640 0.352
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 5 0.1907 0.7882 0.028 0.000 0.000 0.044 0.928
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0000 0.9850 0.000 0.000 1.000 0.000 0.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.2561 0.8059 0.856 0.000 0.000 0.000 0.144
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.0000 0.9850 0.000 0.000 1.000 0.000 0.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 4 0.1124 0.7265 0.000 0.004 0.000 0.960 0.036
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.0162 0.9840 0.000 0.000 0.996 0.000 0.004
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.0000 0.9850 0.000 0.000 1.000 0.000 0.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 5 0.1608 0.7772 0.000 0.000 0.000 0.072 0.928
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 1 0.6504 0.2995 0.484 0.000 0.000 0.228 0.288
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.0000 0.9137 1.000 0.000 0.000 0.000 0.000
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 4 0.2127 0.7299 0.000 0.000 0.000 0.892 0.108
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 5 0.1608 0.7772 0.000 0.000 0.000 0.072 0.928
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.0000 0.9137 1.000 0.000 0.000 0.000 0.000
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 4 0.3143 0.6889 0.000 0.000 0.000 0.796 0.204
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 4 0.3305 0.5745 0.000 0.224 0.000 0.776 0.000
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 1 0.2448 0.8423 0.892 0.000 0.000 0.088 0.020
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.0000 0.9850 0.000 0.000 1.000 0.000 0.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.0162 0.9116 0.996 0.000 0.000 0.000 0.004
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 2 0.0963 0.8913 0.000 0.964 0.000 0.036 0.000
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 4 0.1469 0.7276 0.000 0.016 0.000 0.948 0.036
#> 208165C0-229B-49E2-A22A-575CA3157C9E 4 0.2719 0.6986 0.000 0.004 0.000 0.852 0.144
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 1 0.4521 0.7250 0.748 0.000 0.000 0.088 0.164
#> 01397021-8495-4D89-885A-166B4DBA0122 3 0.0000 0.9850 0.000 0.000 1.000 0.000 0.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 3 0.0162 0.9840 0.000 0.000 0.996 0.000 0.004
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.0000 0.9137 1.000 0.000 0.000 0.000 0.000
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 4 0.1872 0.7255 0.000 0.020 0.000 0.928 0.052
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 2 0.1043 0.8892 0.000 0.960 0.000 0.040 0.000
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 2 0.1686 0.8739 0.000 0.944 0.008 0.020 0.028
#> AA569A06-0F37-4492-93F3-60A4539A3E82 4 0.3359 0.6816 0.000 0.164 0.000 0.816 0.020
#> BC53FB75-94CA-48C3-875B-5987037D186F 2 0.0290 0.8894 0.000 0.992 0.000 0.008 0.000
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 1 0.0000 0.9137 1.000 0.000 0.000 0.000 0.000
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 2 0.0510 0.8905 0.000 0.984 0.000 0.016 0.000
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 4 0.2338 0.7315 0.000 0.004 0.000 0.884 0.112
#> DF67F589-A607-4B95-96B8-4BB344132312 2 0.1399 0.8763 0.000 0.952 0.000 0.020 0.028
#> A65233E6-C146-4ACF-8DDE-5FB12D8D9637 3 0.0000 0.9850 0.000 0.000 1.000 0.000 0.000
#> 7578C9A3-FFF8-45C4-AC28-1C6141A9A2AD 1 0.0000 0.9137 1.000 0.000 0.000 0.000 0.000
#> 4DF775B9-E2FE-4F5E-8329-C37E21C5D10E 5 0.4197 0.6223 0.000 0.028 0.000 0.244 0.728
#> 5E6B86C6-3D79-47BB-9FAF-CA22659CFEA7 5 0.3176 0.7221 0.064 0.000 0.000 0.080 0.856
#> 53286128-668B-47EA-9A5F-D768FDCCBE88 1 0.0807 0.9001 0.976 0.000 0.000 0.012 0.012
#> 01C9F351-97FE-4037-A879-9D96A3DD3FBB 2 0.0000 0.8892 0.000 1.000 0.000 0.000 0.000
#> 5487DB21-6A58-46AC-A2A1-E343082D41D8 5 0.1671 0.7788 0.076 0.000 0.000 0.000 0.924
#> 0FB3E997-4E31-4FA6-9654-11C3C0AF8D86 2 0.1671 0.8864 0.000 0.924 0.000 0.076 0.000
#> A0706E80-FDF9-4721-BEB4-90527F6D38C4 2 0.1608 0.8850 0.000 0.928 0.000 0.072 0.000
#> 5260226E-1826-4F54-8237-28993DD2EF04 3 0.0000 0.9850 0.000 0.000 1.000 0.000 0.000
#> F53F71A7-A399-49AB-8657-019C5C56F48C 2 0.3048 0.8079 0.000 0.820 0.000 0.176 0.004
#> 008159F2-5247-479A-8BFE-C394888D0B74 4 0.1965 0.7302 0.000 0.000 0.000 0.904 0.096
#> 9E6BA6FB-35F2-4510-94AE-3E7CDFED3D47 3 0.0000 0.9850 0.000 0.000 1.000 0.000 0.000
#> F12BE7AC-D2DD-4AD1-AB37-32DC85954F59 4 0.5723 0.3451 0.088 0.000 0.000 0.520 0.392
#> 38A6BA1F-B444-4155-A168-EC2DF0EE0785 5 0.5777 -0.0428 0.444 0.000 0.000 0.088 0.468
#> B107D1DE-EE52-4E89-B75A-91124BFF99AE 3 0.0162 0.9840 0.000 0.000 0.996 0.000 0.004
#> D4D16D09-8895-4BEA-ABF7-F11C5D5BDCAA 5 0.3242 0.6838 0.000 0.000 0.000 0.216 0.784
#> 9A53C473-1364-4BB6-AD36-EF53E0208450 1 0.0000 0.9137 1.000 0.000 0.000 0.000 0.000
#> F00C0ED6-C811-4F32-BDB4-4ACA7861DC7D 2 0.2127 0.8696 0.000 0.892 0.000 0.108 0.000
#> 72618985-CD49-4B6F-8CB0-5EE590FAD09A 4 0.2848 0.7312 0.000 0.028 0.000 0.868 0.104
#> 978A315F-CCE9-4D03-A680-C0AD60B10557 2 0.1965 0.8862 0.000 0.904 0.000 0.096 0.000
#> B6EACAED-3944-4510-B685-0BB8D1651D4F 5 0.1608 0.7762 0.000 0.000 0.000 0.072 0.928
#> EBCF16B4-A804-45EB-8253-0F28A2645729 5 0.4197 0.6268 0.000 0.028 0.000 0.244 0.728
#> 637DC441-4A75-4DA8-8F65-91FDB5F103C7 5 0.6518 0.2269 0.000 0.276 0.000 0.240 0.484
#> 89F67654-A246-4307-9B17-4A1C01DB1AED 2 0.3452 0.7200 0.000 0.756 0.000 0.244 0.000
#> 3A8EB57B-71ED-4169-A8EB-624C67CDBBE1 2 0.0290 0.8899 0.000 0.992 0.000 0.008 0.000
#> CC4DA9C6-CAB2-44FF-8219-D293ECD07DD4 5 0.4902 0.5377 0.000 0.048 0.000 0.304 0.648
#> AEC4FDAA-8F60-43CE-8EBB-5629FA662F16 4 0.3109 0.6207 0.000 0.200 0.000 0.800 0.000
#> BFC0D795-64F4-48B3-AD08-8C564E5E5367 1 0.3750 0.7044 0.756 0.000 0.000 0.012 0.232
#> 907BBBA4-4E7B-4808-892E-F80525C3CFA3 4 0.3913 0.6059 0.000 0.000 0.000 0.676 0.324
#> 7F21FA19-1468-4A65-A10A-A9727218A5EF 1 0.0000 0.9137 1.000 0.000 0.000 0.000 0.000
#> 905A026A-0B13-4AD3-B2BB-9A5AE76920AF 4 0.4387 0.5316 0.012 0.000 0.000 0.640 0.348
#> 6DDFC760-7BED-4A68-8DDA-9453D0FC9C1D 1 0.0000 0.9137 1.000 0.000 0.000 0.000 0.000
#> B3AFF323-BAAD-4512-A837-20C430EA39D1 5 0.2280 0.7584 0.000 0.000 0.000 0.120 0.880
#> 193E9034-42A2-4701-AA3E-2E852CA5C043 1 0.0000 0.9137 1.000 0.000 0.000 0.000 0.000
#> 8B6127D5-D3BB-4E17-914C-3ED1E2A52078 2 0.4302 0.3138 0.000 0.520 0.000 0.480 0.000
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#> 910E9B6D-E7D5-4C83-A19C-1EEA6E135639 5 0.6173 0.0838 0.396 0.000 0.000 0.136 0.468
#> F36353A3-6CE6-4347-A78B-0AAD8FAB14AD 1 0.0000 0.9137 1.000 0.000 0.000 0.000 0.000
#> 2045736E-7D0F-4B17-B74B-3B12AEE3E68C 1 0.0000 0.9137 1.000 0.000 0.000 0.000 0.000
#> 5EFA2C2D-30B3-4D66-9601-354711F9FC56 3 0.0000 0.9850 0.000 0.000 1.000 0.000 0.000
#> 3FBD381D-84C8-4680-980B-CC4B7924BE06 2 0.1965 0.8862 0.000 0.904 0.000 0.096 0.000
#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 4 0.3774 0.6282 0.000 0.000 0.000 0.704 0.296
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 5 0.1732 0.7768 0.000 0.000 0.000 0.080 0.920
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 4 0.3395 0.5541 0.000 0.236 0.000 0.764 0.000
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 2 0.4297 0.3381 0.000 0.528 0.000 0.472 0.000
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 5 0.2127 0.7666 0.000 0.000 0.000 0.108 0.892
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 2 0.0162 0.8886 0.000 0.996 0.000 0.004 0.000
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 4 0.3816 0.6034 0.000 0.000 0.000 0.696 0.304
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 5 0.5304 0.4834 0.272 0.000 0.000 0.088 0.640
#> A3343F40-F977-4F9B-856A-28781F10F4CD 2 0.2732 0.8242 0.000 0.840 0.000 0.160 0.000
#> DA144299-5541-47D7-A59E-C92896DF08FC 5 0.5606 0.3034 0.344 0.000 0.000 0.088 0.568
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 2 0.1043 0.8892 0.000 0.960 0.000 0.040 0.000
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.0000 0.9137 1.000 0.000 0.000 0.000 0.000
#> 617447CF-9327-4062-B22C-71A8944C948F 2 0.4297 0.3126 0.000 0.528 0.000 0.472 0.000
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0000 0.9137 1.000 0.000 0.000 0.000 0.000
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 2 0.1270 0.8890 0.000 0.948 0.000 0.052 0.000
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.0510 0.9048 0.984 0.000 0.000 0.000 0.016
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.1043 0.8885 0.000 0.960 0.000 0.040 0.000
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.0000 0.9137 1.000 0.000 0.000 0.000 0.000
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 3 0.0000 0.9850 0.000 0.000 1.000 0.000 0.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 2 0.2230 0.8783 0.000 0.884 0.000 0.116 0.000
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 3 0.3424 0.7107 0.000 0.240 0.760 0.000 0.000
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.0807 0.9001 0.976 0.000 0.000 0.012 0.012
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 5 0.3612 0.6203 0.000 0.000 0.000 0.268 0.732
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.1197 0.8888 0.000 0.952 0.000 0.048 0.000
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 5 0.1965 0.7684 0.096 0.000 0.000 0.000 0.904
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.0000 0.9137 1.000 0.000 0.000 0.000 0.000
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 2 0.2280 0.8194 0.000 0.880 0.120 0.000 0.000
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 2 0.1732 0.8560 0.000 0.920 0.080 0.000 0.000
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 5 0.2104 0.7870 0.060 0.000 0.000 0.024 0.916
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 2 0.1831 0.8797 0.000 0.920 0.000 0.076 0.004
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.0000 0.9137 1.000 0.000 0.000 0.000 0.000
#> DA1301D3-1F84-46C5-AB44-079493A81A51 5 0.4485 0.5728 0.000 0.028 0.000 0.292 0.680
#> A12B1681-B598-40C3-80FE-1801F3F1189D 5 0.5440 0.4218 0.300 0.000 0.000 0.088 0.612
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 4 0.3274 0.6953 0.000 0.000 0.000 0.780 0.220
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 1 0.4072 0.7707 0.792 0.000 0.000 0.108 0.100
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.0000 0.8892 0.000 1.000 0.000 0.000 0.000
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 4 0.2331 0.7118 0.000 0.080 0.000 0.900 0.020
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 5 0.1671 0.7774 0.000 0.000 0.000 0.076 0.924
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.1399 0.8763 0.000 0.952 0.000 0.020 0.028
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.1732 0.8560 0.000 0.920 0.080 0.000 0.000
#> 1D0379B1-0E99-4E6D-B890-907C92860654 4 0.2920 0.7246 0.000 0.016 0.000 0.852 0.132
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 4 0.2818 0.6789 0.000 0.132 0.000 0.856 0.012
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 4 0.3274 0.6792 0.000 0.000 0.000 0.780 0.220
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 4 0.1195 0.7220 0.000 0.028 0.000 0.960 0.012
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0000 0.9137 1.000 0.000 0.000 0.000 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.2020 0.8765 0.000 0.900 0.000 0.100 0.000
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 5 0.2270 0.7825 0.076 0.000 0.000 0.020 0.904
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.1399 0.8763 0.000 0.952 0.000 0.020 0.028
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0000 0.9137 1.000 0.000 0.000 0.000 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.2648 0.8625 0.000 0.848 0.000 0.152 0.000
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 5 0.1608 0.7772 0.000 0.000 0.000 0.072 0.928
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.2329 0.8752 0.000 0.876 0.000 0.124 0.000
#> AC376BBB-667B-4469-B567-9BE18DE0F811 5 0.2127 0.7603 0.108 0.000 0.000 0.000 0.892
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.3123 0.8051 0.000 0.812 0.000 0.184 0.004
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.9137 1.000 0.000 0.000 0.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.9137 1.000 0.000 0.000 0.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.1608 0.8835 0.000 0.928 0.000 0.072 0.000
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 5 0.2707 0.7178 0.008 0.000 0.000 0.132 0.860
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 4 0.2677 0.6949 0.000 0.112 0.000 0.872 0.016
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.9850 0.000 0.000 1.000 0.000 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 2 0.1478 0.8673 0.000 0.936 0.064 0.000 0.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.0162 0.9840 0.000 0.000 0.996 0.000 0.004
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 1 0.3416 0.8112 0.840 0.000 0.000 0.088 0.072
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.1478 0.8845 0.000 0.936 0.000 0.064 0.000
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 4 0.4227 0.0506 0.000 0.420 0.000 0.580 0.000
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.1544 0.8847 0.000 0.932 0.000 0.068 0.000
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 4 0.2471 0.6779 0.000 0.136 0.000 0.864 0.000
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.9137 1.000 0.000 0.000 0.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.9137 1.000 0.000 0.000 0.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 5 0.2144 0.7853 0.068 0.000 0.000 0.020 0.912
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0000 0.9137 1.000 0.000 0.000 0.000 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.1410 0.8857 0.000 0.940 0.000 0.060 0.000
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.1671 0.8824 0.000 0.924 0.000 0.076 0.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0000 0.9137 1.000 0.000 0.000 0.000 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.0963 0.8901 0.000 0.964 0.000 0.036 0.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.3318 0.7564 0.800 0.000 0.000 0.008 0.192
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 5 0.2249 0.7731 0.096 0.000 0.000 0.008 0.896
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.9850 0.000 0.000 1.000 0.000 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 5 0.1908 0.7714 0.092 0.000 0.000 0.000 0.908
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.9255 1.000 0.000 0.000 0.000 0.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.9953 0.000 0.000 1.000 0.000 0.000 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 5 0.2053 0.7886 0.000 0.000 0.000 0.108 0.888 0.004
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.0000 0.9255 1.000 0.000 0.000 0.000 0.000 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 5 0.1088 0.8041 0.000 0.000 0.000 0.016 0.960 0.024
#> 1B76089D-785F-4353-A898-4E632023D482 5 0.2170 0.7920 0.012 0.000 0.000 0.100 0.888 0.000
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 4 0.4628 0.6233 0.008 0.000 0.000 0.712 0.124 0.156
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 6 0.4764 0.4929 0.000 0.000 0.000 0.292 0.080 0.628
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 5 0.1245 0.8016 0.000 0.000 0.000 0.016 0.952 0.032
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 4 0.5364 0.6390 0.112 0.000 0.000 0.676 0.156 0.056
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 4 0.4654 0.2666 0.044 0.000 0.000 0.544 0.412 0.000
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 2 0.0713 0.7816 0.000 0.972 0.028 0.000 0.000 0.000
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.9255 1.000 0.000 0.000 0.000 0.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 2 0.0146 0.7910 0.000 0.996 0.004 0.000 0.000 0.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 4 0.5410 0.5870 0.012 0.000 0.000 0.620 0.208 0.160
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.2346 0.7656 0.000 0.868 0.000 0.008 0.000 0.124
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0000 0.9255 1.000 0.000 0.000 0.000 0.000 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.9255 1.000 0.000 0.000 0.000 0.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 5 0.1245 0.8016 0.000 0.000 0.000 0.016 0.952 0.032
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0520 0.9169 0.984 0.000 0.000 0.008 0.008 0.000
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 5 0.4301 0.5029 0.000 0.000 0.000 0.240 0.696 0.064
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.0858 0.7939 0.000 0.968 0.000 0.004 0.000 0.028
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 4 0.4973 0.4977 0.000 0.000 0.000 0.624 0.112 0.264
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0000 0.9255 1.000 0.000 0.000 0.000 0.000 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 6 0.5665 0.3725 0.000 0.000 0.000 0.244 0.224 0.532
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 5 0.1003 0.8065 0.000 0.000 0.000 0.020 0.964 0.016
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 6 0.3965 0.1421 0.000 0.388 0.000 0.008 0.000 0.604
#> 375FE390-434B-41D3-9029-84065B1D7B6F 6 0.4045 0.5828 0.000 0.000 0.000 0.268 0.036 0.696
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 0.9255 1.000 0.000 0.000 0.000 0.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.1700 0.7872 0.000 0.916 0.000 0.004 0.000 0.080
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.4145 0.6336 0.000 0.700 0.000 0.048 0.000 0.252
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.2949 0.7598 0.000 0.832 0.000 0.028 0.000 0.140
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.3586 0.7170 0.000 0.756 0.000 0.028 0.000 0.216
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 5 0.2450 0.7786 0.016 0.000 0.000 0.116 0.868 0.000
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 2 0.0146 0.7918 0.000 0.996 0.000 0.000 0.000 0.004
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 4 0.4434 0.6058 0.000 0.000 0.000 0.712 0.116 0.172
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 5 0.1757 0.8002 0.008 0.000 0.000 0.076 0.916 0.000
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0000 0.9953 0.000 0.000 1.000 0.000 0.000 0.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.3017 0.7637 0.844 0.000 0.000 0.084 0.072 0.000
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.0000 0.9953 0.000 0.000 1.000 0.000 0.000 0.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 6 0.4085 0.5825 0.000 0.000 0.000 0.156 0.096 0.748
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.0260 0.9934 0.000 0.000 0.992 0.008 0.000 0.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.0000 0.9953 0.000 0.000 1.000 0.000 0.000 0.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 5 0.2212 0.8006 0.000 0.000 0.000 0.112 0.880 0.008
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 4 0.4511 0.6062 0.080 0.000 0.000 0.752 0.128 0.040
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.0632 0.9087 0.976 0.000 0.000 0.000 0.024 0.000
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 6 0.3888 0.5786 0.000 0.000 0.000 0.252 0.032 0.716
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 5 0.2257 0.7943 0.000 0.000 0.000 0.116 0.876 0.008
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.0000 0.9255 1.000 0.000 0.000 0.000 0.000 0.000
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 6 0.4526 0.5599 0.000 0.000 0.000 0.244 0.080 0.676
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 6 0.2255 0.6439 0.000 0.088 0.000 0.016 0.004 0.892
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 1 0.3851 -0.0233 0.540 0.000 0.000 0.460 0.000 0.000
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.0000 0.9953 0.000 0.000 1.000 0.000 0.000 0.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.0508 0.9167 0.984 0.000 0.000 0.012 0.004 0.000
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 2 0.2404 0.7820 0.000 0.872 0.000 0.016 0.000 0.112
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 6 0.3514 0.5905 0.000 0.000 0.000 0.228 0.020 0.752
#> 208165C0-229B-49E2-A22A-575CA3157C9E 6 0.2176 0.6467 0.000 0.000 0.000 0.024 0.080 0.896
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 4 0.4660 0.3522 0.416 0.000 0.000 0.540 0.044 0.000
#> 01397021-8495-4D89-885A-166B4DBA0122 3 0.0000 0.9953 0.000 0.000 1.000 0.000 0.000 0.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 3 0.0260 0.9934 0.000 0.000 0.992 0.008 0.000 0.000
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.0806 0.9079 0.972 0.000 0.000 0.020 0.008 0.000
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 6 0.3398 0.5780 0.000 0.000 0.000 0.252 0.008 0.740
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 2 0.2320 0.7709 0.000 0.864 0.000 0.004 0.000 0.132
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#> A821C6AB-91E5-4A72-8F3F-5D628FA351F0 3 0.0000 0.9953 0.000 0.000 1.000 0.000 0.000 0.000
#> 1D7F357E-0075-4AFA-BFCB-0297B90800F1 2 0.2901 0.7401 0.000 0.840 0.000 0.032 0.000 0.128
#> 5984264D-BD86-4D2F-8718-7DCAE974F50B 4 0.4421 0.6190 0.000 0.000 0.000 0.716 0.128 0.156
#> F24CC083-662D-457C-9BEC-3B68D63236AE 6 0.3803 0.5864 0.000 0.000 0.000 0.184 0.056 0.760
#> 48350BD7-9F6E-4DB5-B34A-F47B0BA74EF6 2 0.0820 0.7923 0.000 0.972 0.000 0.012 0.000 0.016
#> 94523D56-65BB-4860-9B7F-5859F5C82C05 3 0.0260 0.9934 0.000 0.000 0.992 0.008 0.000 0.000
#> CED33410-C7DE-43CC-941A-7652B200E5BB 6 0.3424 0.6417 0.000 0.032 0.000 0.168 0.004 0.796
#> 7E122E61-7895-4322-97BE-ABC29D7B7EA9 3 0.0260 0.9934 0.000 0.000 0.992 0.008 0.000 0.000
#> 60506411-6B29-49B4-9183-F54EE8B02CC4 5 0.2053 0.7885 0.000 0.000 0.000 0.108 0.888 0.004
#> ED52DF66-827A-4A8C-8E50-03C85FA04508 4 0.5646 0.5222 0.220 0.000 0.000 0.536 0.244 0.000
#> AB3B48ED-CFF9-4D66-BF3A-E9267D57BA14 6 0.1719 0.6568 0.000 0.060 0.000 0.016 0.000 0.924
#> 248A7931-1EB5-47E3-A966-E6AF62E21FC1 3 0.0260 0.9934 0.000 0.000 0.992 0.008 0.000 0.000
#> CB846F43-7719-4B7E-946B-32E6384F3CC4 5 0.4282 0.6584 0.000 0.000 0.000 0.088 0.720 0.192
#> 940E691A-04A2-410F-B1FB-A66A3BFE10E7 3 0.0260 0.9934 0.000 0.000 0.992 0.008 0.000 0.000
#> C3842EA2-E3BC-48DE-9B59-92145AC2F716 3 0.0000 0.9953 0.000 0.000 1.000 0.000 0.000 0.000
#> 497FB1B2-A998-44F3-8D69-6974314F941D 4 0.4876 0.6308 0.032 0.000 0.000 0.712 0.104 0.152
#> 4BAA88D6-4A88-4D54-9B0E-83365CC85C39 5 0.4201 0.6759 0.000 0.004 0.000 0.080 0.740 0.176
#> 7480A3B3-3BF8-4123-8E2E-8C2B52688EC6 2 0.0000 0.7917 0.000 1.000 0.000 0.000 0.000 0.000
#> AE3211D1-65C0-46B1-A67F-741C21A7D1C4 6 0.2442 0.5940 0.000 0.144 0.000 0.004 0.000 0.852
#> D7244456-CB99-4893-85FE-65082CC4F17C 6 0.2218 0.6265 0.000 0.104 0.000 0.012 0.000 0.884
#> C4E0F193-49DC-4A49-84BB-337AAF277145 5 0.0972 0.8086 0.008 0.000 0.000 0.028 0.964 0.000
#> E2DF7E97-6BE1-412C-B71D-151B87739653 6 0.4239 0.5821 0.000 0.000 0.000 0.248 0.056 0.696
#> 022BCEE2-4794-4D5D-87E5-22CD25FDBA98 2 0.0000 0.7917 0.000 1.000 0.000 0.000 0.000 0.000
#> 2AF33CEA-C327-4A31-84D8-C4F26E8A3ECF 4 0.4328 0.2619 0.460 0.000 0.000 0.520 0.020 0.000
#> E877B9C0-11C5-4CC8-BAE1-AC210535F3DB 4 0.4813 0.5374 0.316 0.000 0.000 0.608 0.076 0.000
#> 0E737E9F-1045-4B86-A290-ED927D5DE7BF 2 0.0146 0.7914 0.000 0.996 0.000 0.004 0.000 0.000
#> D1B88E26-3B64-4E1A-8E50-22AD100BD9F9 6 0.4210 0.4494 0.000 0.000 0.000 0.336 0.028 0.636
#> 3AEB8943-FE34-4014-B851-BBF83857A794 6 0.4178 0.6274 0.000 0.024 0.000 0.196 0.036 0.744
#> BECD727E-E3C1-4C42-9047-D97B7444B20B 6 0.4218 0.4411 0.000 0.000 0.000 0.360 0.024 0.616
#> AF866E63-9EA1-4669-B9C4-FC7E877334AE 6 0.4646 -0.1975 0.000 0.460 0.000 0.040 0.000 0.500
#> F9C8E54A-4CE4-4839-B0CA-58678461EEF1 2 0.0622 0.7911 0.000 0.980 0.012 0.000 0.000 0.008
#> AE818BC4-05BF-4E85-A4AD-F3E43DD7D37A 2 0.3421 0.6757 0.000 0.736 0.000 0.008 0.000 0.256
#> BA73A860-CADE-408D-8D27-14EADA2B53B0 1 0.4076 -0.0278 0.540 0.000 0.000 0.452 0.008 0.000
#> 688858C8-48CA-43E9-AE2C-B9D4F80B5EE9 6 0.2996 0.4833 0.000 0.228 0.000 0.000 0.000 0.772
#> EB1D52B2-17B3-491E-B484-1235633D6925 6 0.5153 0.5811 0.000 0.180 0.000 0.116 0.028 0.676
#> AE261B5D-3881-40B9-8EE7-26B950E0BE16 1 0.6080 -0.2798 0.396 0.000 0.000 0.288 0.316 0.000
#> 8C9851D5-3091-4DE0-A59E-9122C0CA1CD2 2 0.4051 0.3634 0.000 0.560 0.000 0.008 0.000 0.432
#> C8180F95-4E9C-45DB-B959-B47F64167C2D 4 0.4808 0.6280 0.024 0.000 0.000 0.712 0.108 0.156
#> 552D3B42-8D22-4B64-B3A2-B3E5D51A8524 2 0.4062 0.3468 0.000 0.552 0.000 0.008 0.000 0.440
#> FED9F364-BC3F-4134-BF4B-4D24B0EB8315 5 0.2001 0.7964 0.004 0.000 0.000 0.092 0.900 0.004
#> 7B0D7792-C803-4DD0-B9BF-CB83DA2D199A 1 0.1845 0.8567 0.920 0.000 0.000 0.052 0.028 0.000
#> B4F82CBB-A47C-44C3-81AC-CF775FF06FCD 4 0.5975 0.4514 0.300 0.000 0.000 0.444 0.256 0.000
#> BFAB10CF-5B24-40F7-92E7-C2E60DD779EF 5 0.3963 0.6873 0.000 0.000 0.000 0.080 0.756 0.164
#> E4E259E1-48B2-4C76-B113-E46270742F53 2 0.1563 0.7924 0.000 0.932 0.000 0.012 0.000 0.056
#> 81FCBC31-367A-4B1C-A832-B133E4A43738 6 0.5461 0.4249 0.000 0.000 0.000 0.248 0.184 0.568
#> 8690FA0F-9C1C-4D97-813A-3FB56827FBFC 6 0.4131 0.4941 0.000 0.000 0.000 0.356 0.020 0.624
#> 9810CF0C-99D1-445B-B1F9-C956D2438495 3 0.0146 0.9943 0.000 0.000 0.996 0.004 0.000 0.000
#> 2F5073E1-9EDD-46B5-95E3-8314E2A5B620 5 0.3883 0.6966 0.000 0.000 0.000 0.088 0.768 0.144
#> B454F9FB-439A-43B5-877D-752D0F138AB5 2 0.0000 0.7917 0.000 1.000 0.000 0.000 0.000 0.000
#> 287F2B71-92F8-4D14-8249-C1BFBB254BE7 1 0.1204 0.8776 0.944 0.000 0.000 0.056 0.000 0.000
#> 52DC920F-0AD5-47CE-BD81-31843876B71E 1 0.0000 0.9255 1.000 0.000 0.000 0.000 0.000 0.000
#> 6BAC4B1B-C3FC-4A09-9821-232E510E6A47 4 0.5646 0.5219 0.220 0.000 0.000 0.536 0.244 0.000
#> A2B87EED-0D8E-4B20-85D3-FD9CC5E2E806 1 0.0000 0.9255 1.000 0.000 0.000 0.000 0.000 0.000
#> 43E6DB93-2DA6-4F0F-BF81-0C3869134D2B 1 0.0000 0.9255 1.000 0.000 0.000 0.000 0.000 0.000
#> 09A2ED74-A7C7-4DBB-8EDD-C80D0F0AEFDF 5 0.0870 0.8094 0.004 0.000 0.000 0.012 0.972 0.012
#> 35EDCB52-D4B5-4305-8A74-95EFE6F2BFB1 5 0.3563 0.7322 0.000 0.000 0.000 0.092 0.800 0.108
#> D5D18AF8-9CC2-496C-A83A-31BBA0195CFD 4 0.5910 0.4938 0.192 0.000 0.000 0.576 0.204 0.028
#> 03767EDF-2F8A-41DE-8D80-F4BE861225A3 6 0.6003 0.1946 0.000 0.016 0.000 0.164 0.324 0.496
#> 586BC656-AD9C-44EF-9ED4-87DEEB5C8AA6 1 0.0632 0.9116 0.976 0.000 0.000 0.024 0.000 0.000
#> 23CA1146-CB1B-4054-A4FF-200B87444BF9 1 0.0000 0.9255 1.000 0.000 0.000 0.000 0.000 0.000
#> 910E9B6D-E7D5-4C83-A19C-1EEA6E135639 4 0.5372 0.6345 0.112 0.000 0.000 0.672 0.164 0.052
#> F36353A3-6CE6-4347-A78B-0AAD8FAB14AD 1 0.0000 0.9255 1.000 0.000 0.000 0.000 0.000 0.000
#> 2045736E-7D0F-4B17-B74B-3B12AEE3E68C 1 0.0000 0.9255 1.000 0.000 0.000 0.000 0.000 0.000
#> 5EFA2C2D-30B3-4D66-9601-354711F9FC56 3 0.0000 0.9953 0.000 0.000 1.000 0.000 0.000 0.000
#> 3FBD381D-84C8-4680-980B-CC4B7924BE06 2 0.4076 0.3962 0.000 0.540 0.000 0.008 0.000 0.452
#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 6 0.5933 0.2682 0.000 0.000 0.000 0.312 0.236 0.452
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 5 0.0405 0.8102 0.000 0.000 0.000 0.004 0.988 0.008
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 6 0.1779 0.6537 0.000 0.064 0.000 0.016 0.000 0.920
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 6 0.2632 0.5628 0.000 0.164 0.000 0.004 0.000 0.832
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 5 0.1092 0.8055 0.000 0.000 0.000 0.020 0.960 0.020
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 2 0.0405 0.7915 0.000 0.988 0.000 0.004 0.000 0.008
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 4 0.5361 0.4445 0.000 0.000 0.000 0.576 0.156 0.268
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 4 0.5077 0.3764 0.088 0.000 0.000 0.552 0.360 0.000
#> A3343F40-F977-4F9B-856A-28781F10F4CD 2 0.4424 0.5203 0.000 0.632 0.000 0.044 0.000 0.324
#> DA144299-5541-47D7-A59E-C92896DF08FC 4 0.5403 0.3965 0.124 0.000 0.000 0.516 0.360 0.000
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 2 0.3141 0.7308 0.000 0.788 0.000 0.012 0.000 0.200
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.0000 0.9255 1.000 0.000 0.000 0.000 0.000 0.000
#> 617447CF-9327-4062-B22C-71A8944C948F 6 0.3168 0.5482 0.000 0.192 0.000 0.016 0.000 0.792
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0000 0.9255 1.000 0.000 0.000 0.000 0.000 0.000
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 2 0.3190 0.7145 0.000 0.772 0.000 0.008 0.000 0.220
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.0717 0.9092 0.976 0.000 0.000 0.016 0.008 0.000
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.1531 0.7811 0.000 0.928 0.000 0.004 0.000 0.068
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.0000 0.9255 1.000 0.000 0.000 0.000 0.000 0.000
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 3 0.0000 0.9953 0.000 0.000 1.000 0.000 0.000 0.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 6 0.4089 -0.1516 0.000 0.468 0.000 0.008 0.000 0.524
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 2 0.3383 0.5143 0.000 0.728 0.268 0.004 0.000 0.000
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.3390 0.7581 0.816 0.000 0.000 0.140 0.016 0.028
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 5 0.3790 0.7048 0.000 0.000 0.000 0.072 0.772 0.156
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.3758 0.5827 0.000 0.668 0.000 0.008 0.000 0.324
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 5 0.2404 0.7795 0.016 0.000 0.000 0.112 0.872 0.000
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.0000 0.9255 1.000 0.000 0.000 0.000 0.000 0.000
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 2 0.0547 0.7855 0.000 0.980 0.020 0.000 0.000 0.000
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 2 0.0363 0.7893 0.000 0.988 0.012 0.000 0.000 0.000
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 5 0.1116 0.8073 0.004 0.000 0.000 0.028 0.960 0.008
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 2 0.4113 0.7022 0.000 0.744 0.000 0.056 0.008 0.192
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.0547 0.9130 0.980 0.000 0.000 0.020 0.000 0.000
#> DA1301D3-1F84-46C5-AB44-079493A81A51 5 0.3595 0.7146 0.000 0.000 0.000 0.084 0.796 0.120
#> A12B1681-B598-40C3-80FE-1801F3F1189D 4 0.5324 0.4140 0.120 0.000 0.000 0.540 0.340 0.000
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 6 0.4682 0.5302 0.000 0.000 0.000 0.284 0.076 0.640
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 4 0.4945 0.5365 0.324 0.000 0.000 0.612 0.032 0.032
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.0000 0.7917 0.000 1.000 0.000 0.000 0.000 0.000
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 6 0.3121 0.6338 0.000 0.008 0.000 0.148 0.020 0.824
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 5 0.0725 0.8077 0.000 0.000 0.000 0.012 0.976 0.012
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.1075 0.7759 0.000 0.952 0.000 0.048 0.000 0.000
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.0363 0.7893 0.000 0.988 0.012 0.000 0.000 0.000
#> 1D0379B1-0E99-4E6D-B890-907C92860654 6 0.4386 0.5408 0.000 0.000 0.000 0.300 0.048 0.652
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 6 0.2361 0.6386 0.000 0.012 0.000 0.104 0.004 0.880
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 4 0.5166 0.2169 0.000 0.000 0.000 0.524 0.092 0.384
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 6 0.3062 0.6202 0.000 0.000 0.000 0.160 0.024 0.816
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0000 0.9255 1.000 0.000 0.000 0.000 0.000 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 6 0.4093 -0.1155 0.000 0.476 0.000 0.008 0.000 0.516
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 5 0.0972 0.8086 0.008 0.000 0.000 0.028 0.964 0.000
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.1075 0.7759 0.000 0.952 0.000 0.048 0.000 0.000
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0000 0.9255 1.000 0.000 0.000 0.000 0.000 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 6 0.3833 0.2322 0.000 0.344 0.000 0.008 0.000 0.648
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 5 0.2389 0.7950 0.000 0.000 0.000 0.128 0.864 0.008
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 6 0.3984 0.0777 0.000 0.396 0.000 0.008 0.000 0.596
#> AC376BBB-667B-4469-B567-9BE18DE0F811 5 0.2536 0.7748 0.020 0.000 0.000 0.116 0.864 0.000
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 6 0.4573 0.1764 0.000 0.372 0.000 0.044 0.000 0.584
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.9255 1.000 0.000 0.000 0.000 0.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.9255 1.000 0.000 0.000 0.000 0.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.4045 0.3659 0.000 0.564 0.000 0.008 0.000 0.428
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 4 0.4208 0.1645 0.004 0.000 0.000 0.536 0.452 0.008
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 6 0.2537 0.6578 0.000 0.028 0.000 0.068 0.016 0.888
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.9953 0.000 0.000 1.000 0.000 0.000 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 2 0.0260 0.7905 0.000 0.992 0.008 0.000 0.000 0.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.0260 0.9934 0.000 0.000 0.992 0.008 0.000 0.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 4 0.4331 0.2453 0.464 0.000 0.000 0.516 0.020 0.000
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.3481 0.7173 0.000 0.776 0.000 0.032 0.000 0.192
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 6 0.2623 0.6044 0.000 0.132 0.000 0.016 0.000 0.852
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.3887 0.5009 0.000 0.632 0.000 0.008 0.000 0.360
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 6 0.1693 0.6637 0.000 0.032 0.000 0.020 0.012 0.936
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.9255 1.000 0.000 0.000 0.000 0.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.9255 1.000 0.000 0.000 0.000 0.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 5 0.0837 0.8081 0.004 0.000 0.000 0.020 0.972 0.004
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0000 0.9255 1.000 0.000 0.000 0.000 0.000 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.3122 0.7388 0.000 0.804 0.000 0.020 0.000 0.176
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.4282 0.4254 0.000 0.560 0.000 0.020 0.000 0.420
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.1296 0.8951 0.948 0.000 0.000 0.044 0.004 0.004
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.2932 0.7619 0.000 0.820 0.000 0.016 0.000 0.164
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.4505 0.6408 0.732 0.000 0.000 0.120 0.136 0.012
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 5 0.1245 0.8066 0.016 0.000 0.000 0.032 0.952 0.000
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.9953 0.000 0.000 1.000 0.000 0.000 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 5 0.2748 0.7622 0.024 0.000 0.000 0.128 0.848 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["ATC", "skmeans"]
# you can also extract it by
# res = res_list["ATC:skmeans"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#> On a matrix with 17654 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'ATC' method.
#> Subgroups are detected by 'skmeans' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 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 0.996 0.966 0.986 0.5003 0.500 0.500
#> 3 3 0.858 0.794 0.926 0.2526 0.852 0.711
#> 4 4 0.884 0.865 0.933 0.1305 0.861 0.654
#> 5 5 0.852 0.854 0.929 0.0576 0.931 0.773
#> 6 6 0.852 0.751 0.888 0.0414 0.960 0.846
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
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.000 0.98713 1.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 2 0.000 0.98337 0.000 1.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.000 0.98713 1.000 0.000
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.000 0.98713 1.000 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.000 0.98713 1.000 0.000
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.000 0.98713 1.000 0.000
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 1 0.000 0.98713 1.000 0.000
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 1 0.000 0.98713 1.000 0.000
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.000 0.98713 1.000 0.000
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 1 0.000 0.98713 1.000 0.000
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.000 0.98713 1.000 0.000
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 2 0.000 0.98337 0.000 1.000
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.000 0.98713 1.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 2 0.000 0.98337 0.000 1.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 1 0.000 0.98713 1.000 0.000
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.000 0.98337 0.000 1.000
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.000 0.98713 1.000 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.000 0.98713 1.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 1 0.000 0.98713 1.000 0.000
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.000 0.98713 1.000 0.000
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 1 0.000 0.98713 1.000 0.000
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.000 0.98337 0.000 1.000
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 1 0.000 0.98713 1.000 0.000
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.000 0.98713 1.000 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 2 0.775 0.71200 0.228 0.772
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 1 0.000 0.98713 1.000 0.000
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.000 0.98337 0.000 1.000
#> 375FE390-434B-41D3-9029-84065B1D7B6F 2 0.722 0.75438 0.200 0.800
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.000 0.98713 1.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.000 0.98337 0.000 1.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.000 0.98337 0.000 1.000
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.000 0.98337 0.000 1.000
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.000 0.98337 0.000 1.000
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.000 0.98713 1.000 0.000
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 2 0.000 0.98337 0.000 1.000
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 1 0.000 0.98713 1.000 0.000
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 1 0.000 0.98713 1.000 0.000
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 2 0.000 0.98337 0.000 1.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.000 0.98713 1.000 0.000
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 2 0.000 0.98337 0.000 1.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 1 0.644 0.80037 0.836 0.164
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 2 0.000 0.98337 0.000 1.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 2 0.000 0.98337 0.000 1.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 1 0.000 0.98713 1.000 0.000
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 1 0.000 0.98713 1.000 0.000
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.000 0.98713 1.000 0.000
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 1 0.969 0.33234 0.604 0.396
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 1 0.000 0.98713 1.000 0.000
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.000 0.98713 1.000 0.000
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 1 0.000 0.98713 1.000 0.000
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.000 0.98337 0.000 1.000
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 1 0.000 0.98713 1.000 0.000
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 2 0.000 0.98337 0.000 1.000
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#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 2 0.000 0.98337 0.000 1.000
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#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 1 0.000 0.98713 1.000 0.000
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#> D0D8DB64-3D03-42B1-B260-0E1498F71288 2 0.000 0.98337 0.000 1.000
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.000 0.98713 1.000 0.000
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 1 0.456 0.88806 0.904 0.096
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 2 0.000 0.98337 0.000 1.000
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 2 0.000 0.98337 0.000 1.000
#> AA569A06-0F37-4492-93F3-60A4539A3E82 2 0.000 0.98337 0.000 1.000
#> BC53FB75-94CA-48C3-875B-5987037D186F 2 0.000 0.98337 0.000 1.000
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 1 0.000 0.98713 1.000 0.000
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 2 0.000 0.98337 0.000 1.000
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 1 0.900 0.53110 0.684 0.316
#> DF67F589-A607-4B95-96B8-4BB344132312 2 0.000 0.98337 0.000 1.000
#> A65233E6-C146-4ACF-8DDE-5FB12D8D9637 2 0.000 0.98337 0.000 1.000
#> 7578C9A3-FFF8-45C4-AC28-1C6141A9A2AD 1 0.000 0.98713 1.000 0.000
#> 4DF775B9-E2FE-4F5E-8329-C37E21C5D10E 2 0.802 0.68606 0.244 0.756
#> 5E6B86C6-3D79-47BB-9FAF-CA22659CFEA7 1 0.000 0.98713 1.000 0.000
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#> 0FB3E997-4E31-4FA6-9654-11C3C0AF8D86 2 0.000 0.98337 0.000 1.000
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#> B107D1DE-EE52-4E89-B75A-91124BFF99AE 2 0.000 0.98337 0.000 1.000
#> D4D16D09-8895-4BEA-ABF7-F11C5D5BDCAA 1 0.000 0.98713 1.000 0.000
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#> F00C0ED6-C811-4F32-BDB4-4ACA7861DC7D 2 0.000 0.98337 0.000 1.000
#> 72618985-CD49-4B6F-8CB0-5EE590FAD09A 2 0.795 0.69275 0.240 0.760
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#> 4770600E-74BC-405F-B175-D337C0375285 2 0.000 0.98337 0.000 1.000
#> 2FD60201-C797-4782-A1F7-45345E334B28 1 0.000 0.98713 1.000 0.000
#> 371959B1-8D14-4FD1-A854-3DFB92D097FA 2 0.722 0.75438 0.200 0.800
#> CD5AE438-D578-472E-B7B2-1DBD52D43233 2 0.000 0.98337 0.000 1.000
#> 8DABCB90-2352-452A-8A71-4A359F50863B 1 0.000 0.98713 1.000 0.000
#> 0A562D9C-52B2-4CE1-8173-4874835682E5 2 0.000 0.98337 0.000 1.000
#> E3746081-2D1B-470B-A308-4B2E3A139C21 1 0.000 0.98713 1.000 0.000
#> A7154064-ADD6-4D31-9622-8051F9A94BD2 1 0.000 0.98713 1.000 0.000
#> D125BE69-EA3E-4E26-83B3-966C9B4E2E1D 1 0.000 0.98713 1.000 0.000
#> D4A7D4B9-2E9D-4ED5-886F-664A212C9BE1 2 0.000 0.98337 0.000 1.000
#> 1EFC6C80-2CBC-4F7F-9D95-D3259F22AED3 2 0.000 0.98337 0.000 1.000
#> 9A0F8AF1-6845-474B-9897-F884E44DF78B 1 0.000 0.98713 1.000 0.000
#> 5FFEF93E-3421-44BC-95BE-CA07D2343CD9 1 0.000 0.98713 1.000 0.000
#> 706CD6CB-20D1-4B61-91CE-96468AFAB948 1 0.000 0.98713 1.000 0.000
#> E75D87AF-DC22-4A00-8DAC-EDE1D242B3E5 2 0.943 0.45347 0.360 0.640
#> B6428D53-EA3B-41A1-9092-3B47BF9F6089 1 0.000 0.98713 1.000 0.000
#> 726D44D6-0732-44EA-B911-A5A1F0A758CF 1 0.000 0.98713 1.000 0.000
#> E9FDE3D9-2845-4737-8957-BF36D7B39464 1 0.000 0.98713 1.000 0.000
#> A70A345C-7683-4176-869B-8EDEFD966C1B 1 0.000 0.98713 1.000 0.000
#> AB1C8455-7C2F-4154-95EF-B23EB5FD405A 2 0.000 0.98337 0.000 1.000
#> 052F9CFB-8816-4A1D-B3C2-6A50168F7299 1 0.000 0.98713 1.000 0.000
#> A821C6AB-91E5-4A72-8F3F-5D628FA351F0 2 0.000 0.98337 0.000 1.000
#> 1D7F357E-0075-4AFA-BFCB-0297B90800F1 2 0.000 0.98337 0.000 1.000
#> 5984264D-BD86-4D2F-8718-7DCAE974F50B 1 0.000 0.98713 1.000 0.000
#> F24CC083-662D-457C-9BEC-3B68D63236AE 2 0.000 0.98337 0.000 1.000
#> 48350BD7-9F6E-4DB5-B34A-F47B0BA74EF6 2 0.000 0.98337 0.000 1.000
#> 94523D56-65BB-4860-9B7F-5859F5C82C05 2 0.000 0.98337 0.000 1.000
#> CED33410-C7DE-43CC-941A-7652B200E5BB 2 0.000 0.98337 0.000 1.000
#> 7E122E61-7895-4322-97BE-ABC29D7B7EA9 2 0.000 0.98337 0.000 1.000
#> 60506411-6B29-49B4-9183-F54EE8B02CC4 1 0.000 0.98713 1.000 0.000
#> ED52DF66-827A-4A8C-8E50-03C85FA04508 1 0.000 0.98713 1.000 0.000
#> AB3B48ED-CFF9-4D66-BF3A-E9267D57BA14 2 0.000 0.98337 0.000 1.000
#> 248A7931-1EB5-47E3-A966-E6AF62E21FC1 2 0.000 0.98337 0.000 1.000
#> CB846F43-7719-4B7E-946B-32E6384F3CC4 2 0.000 0.98337 0.000 1.000
#> 940E691A-04A2-410F-B1FB-A66A3BFE10E7 2 0.000 0.98337 0.000 1.000
#> C3842EA2-E3BC-48DE-9B59-92145AC2F716 2 0.000 0.98337 0.000 1.000
#> 497FB1B2-A998-44F3-8D69-6974314F941D 1 0.000 0.98713 1.000 0.000
#> 4BAA88D6-4A88-4D54-9B0E-83365CC85C39 2 0.000 0.98337 0.000 1.000
#> 7480A3B3-3BF8-4123-8E2E-8C2B52688EC6 2 0.000 0.98337 0.000 1.000
#> AE3211D1-65C0-46B1-A67F-741C21A7D1C4 2 0.000 0.98337 0.000 1.000
#> D7244456-CB99-4893-85FE-65082CC4F17C 2 0.000 0.98337 0.000 1.000
#> C4E0F193-49DC-4A49-84BB-337AAF277145 1 0.000 0.98713 1.000 0.000
#> E2DF7E97-6BE1-412C-B71D-151B87739653 2 0.802 0.68606 0.244 0.756
#> 022BCEE2-4794-4D5D-87E5-22CD25FDBA98 2 0.000 0.98337 0.000 1.000
#> 2AF33CEA-C327-4A31-84D8-C4F26E8A3ECF 1 0.000 0.98713 1.000 0.000
#> E877B9C0-11C5-4CC8-BAE1-AC210535F3DB 1 0.000 0.98713 1.000 0.000
#> 0E737E9F-1045-4B86-A290-ED927D5DE7BF 2 0.000 0.98337 0.000 1.000
#> D1B88E26-3B64-4E1A-8E50-22AD100BD9F9 1 0.000 0.98713 1.000 0.000
#> 3AEB8943-FE34-4014-B851-BBF83857A794 2 0.000 0.98337 0.000 1.000
#> BECD727E-E3C1-4C42-9047-D97B7444B20B 1 0.985 0.23652 0.572 0.428
#> AF866E63-9EA1-4669-B9C4-FC7E877334AE 2 0.000 0.98337 0.000 1.000
#> F9C8E54A-4CE4-4839-B0CA-58678461EEF1 2 0.000 0.98337 0.000 1.000
#> AE818BC4-05BF-4E85-A4AD-F3E43DD7D37A 2 0.000 0.98337 0.000 1.000
#> BA73A860-CADE-408D-8D27-14EADA2B53B0 1 0.000 0.98713 1.000 0.000
#> 688858C8-48CA-43E9-AE2C-B9D4F80B5EE9 2 0.000 0.98337 0.000 1.000
#> EB1D52B2-17B3-491E-B484-1235633D6925 2 0.000 0.98337 0.000 1.000
#> AE261B5D-3881-40B9-8EE7-26B950E0BE16 1 0.000 0.98713 1.000 0.000
#> 8C9851D5-3091-4DE0-A59E-9122C0CA1CD2 2 0.000 0.98337 0.000 1.000
#> C8180F95-4E9C-45DB-B959-B47F64167C2D 1 0.000 0.98713 1.000 0.000
#> 552D3B42-8D22-4B64-B3A2-B3E5D51A8524 2 0.000 0.98337 0.000 1.000
#> FED9F364-BC3F-4134-BF4B-4D24B0EB8315 1 0.000 0.98713 1.000 0.000
#> 7B0D7792-C803-4DD0-B9BF-CB83DA2D199A 1 0.000 0.98713 1.000 0.000
#> B4F82CBB-A47C-44C3-81AC-CF775FF06FCD 1 0.000 0.98713 1.000 0.000
#> BFAB10CF-5B24-40F7-92E7-C2E60DD779EF 2 0.000 0.98337 0.000 1.000
#> E4E259E1-48B2-4C76-B113-E46270742F53 2 0.000 0.98337 0.000 1.000
#> 81FCBC31-367A-4B1C-A832-B133E4A43738 1 0.000 0.98713 1.000 0.000
#> 8690FA0F-9C1C-4D97-813A-3FB56827FBFC 2 0.722 0.75438 0.200 0.800
#> 9810CF0C-99D1-445B-B1F9-C956D2438495 2 0.000 0.98337 0.000 1.000
#> 2F5073E1-9EDD-46B5-95E3-8314E2A5B620 2 0.706 0.76578 0.192 0.808
#> B454F9FB-439A-43B5-877D-752D0F138AB5 2 0.000 0.98337 0.000 1.000
#> 287F2B71-92F8-4D14-8249-C1BFBB254BE7 1 0.000 0.98713 1.000 0.000
#> 52DC920F-0AD5-47CE-BD81-31843876B71E 1 0.000 0.98713 1.000 0.000
#> 6BAC4B1B-C3FC-4A09-9821-232E510E6A47 1 0.000 0.98713 1.000 0.000
#> A2B87EED-0D8E-4B20-85D3-FD9CC5E2E806 1 0.000 0.98713 1.000 0.000
#> 43E6DB93-2DA6-4F0F-BF81-0C3869134D2B 1 0.000 0.98713 1.000 0.000
#> 09A2ED74-A7C7-4DBB-8EDD-C80D0F0AEFDF 1 0.000 0.98713 1.000 0.000
#> 35EDCB52-D4B5-4305-8A74-95EFE6F2BFB1 1 0.000 0.98713 1.000 0.000
#> D5D18AF8-9CC2-496C-A83A-31BBA0195CFD 1 0.000 0.98713 1.000 0.000
#> 03767EDF-2F8A-41DE-8D80-F4BE861225A3 2 0.000 0.98337 0.000 1.000
#> 586BC656-AD9C-44EF-9ED4-87DEEB5C8AA6 1 0.000 0.98713 1.000 0.000
#> 23CA1146-CB1B-4054-A4FF-200B87444BF9 1 0.000 0.98713 1.000 0.000
#> 910E9B6D-E7D5-4C83-A19C-1EEA6E135639 1 0.000 0.98713 1.000 0.000
#> F36353A3-6CE6-4347-A78B-0AAD8FAB14AD 1 0.000 0.98713 1.000 0.000
#> 2045736E-7D0F-4B17-B74B-3B12AEE3E68C 1 0.000 0.98713 1.000 0.000
#> 5EFA2C2D-30B3-4D66-9601-354711F9FC56 2 0.000 0.98337 0.000 1.000
#> 3FBD381D-84C8-4680-980B-CC4B7924BE06 2 0.000 0.98337 0.000 1.000
#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 1 0.000 0.98713 1.000 0.000
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 1 0.000 0.98713 1.000 0.000
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 2 0.000 0.98337 0.000 1.000
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 2 0.000 0.98337 0.000 1.000
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 1 0.000 0.98713 1.000 0.000
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 2 0.000 0.98337 0.000 1.000
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 1 0.000 0.98713 1.000 0.000
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 1 0.000 0.98713 1.000 0.000
#> A3343F40-F977-4F9B-856A-28781F10F4CD 2 0.000 0.98337 0.000 1.000
#> DA144299-5541-47D7-A59E-C92896DF08FC 1 0.000 0.98713 1.000 0.000
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 2 0.000 0.98337 0.000 1.000
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.000 0.98713 1.000 0.000
#> 617447CF-9327-4062-B22C-71A8944C948F 2 0.000 0.98337 0.000 1.000
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.000 0.98713 1.000 0.000
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 2 0.000 0.98337 0.000 1.000
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.000 0.98713 1.000 0.000
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.000 0.98337 0.000 1.000
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.000 0.98713 1.000 0.000
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 2 0.000 0.98337 0.000 1.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 2 0.000 0.98337 0.000 1.000
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 2 0.000 0.98337 0.000 1.000
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.000 0.98713 1.000 0.000
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 1 0.730 0.74264 0.796 0.204
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.000 0.98337 0.000 1.000
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 1 0.000 0.98713 1.000 0.000
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.000 0.98713 1.000 0.000
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 2 0.000 0.98337 0.000 1.000
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 2 0.000 0.98337 0.000 1.000
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 1 0.000 0.98713 1.000 0.000
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 2 0.000 0.98337 0.000 1.000
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.000 0.98713 1.000 0.000
#> DA1301D3-1F84-46C5-AB44-079493A81A51 2 0.000 0.98337 0.000 1.000
#> A12B1681-B598-40C3-80FE-1801F3F1189D 1 0.000 0.98713 1.000 0.000
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 1 0.000 0.98713 1.000 0.000
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 1 0.000 0.98713 1.000 0.000
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.000 0.98337 0.000 1.000
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.000 0.98337 0.000 1.000
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 1 0.000 0.98713 1.000 0.000
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.000 0.98337 0.000 1.000
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.000 0.98337 0.000 1.000
#> 1D0379B1-0E99-4E6D-B890-907C92860654 2 0.932 0.48208 0.348 0.652
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.000 0.98337 0.000 1.000
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 1 0.000 0.98713 1.000 0.000
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 2 0.242 0.94518 0.040 0.960
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.000 0.98713 1.000 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.000 0.98337 0.000 1.000
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.000 0.98713 1.000 0.000
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.000 0.98337 0.000 1.000
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.000 0.98713 1.000 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.000 0.98337 0.000 1.000
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 1 0.000 0.98713 1.000 0.000
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.000 0.98337 0.000 1.000
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.000 0.98713 1.000 0.000
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.000 0.98337 0.000 1.000
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.000 0.98713 1.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.000 0.98713 1.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.000 0.98337 0.000 1.000
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.000 0.98713 1.000 0.000
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.000 0.98337 0.000 1.000
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 2 0.000 0.98337 0.000 1.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 2 0.000 0.98337 0.000 1.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 2 0.000 0.98337 0.000 1.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 1 0.000 0.98713 1.000 0.000
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.000 0.98337 0.000 1.000
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.000 0.98337 0.000 1.000
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.000 0.98337 0.000 1.000
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.000 0.98337 0.000 1.000
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.000 0.98713 1.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.000 0.98713 1.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.000 0.98713 1.000 0.000
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.000 0.98713 1.000 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.000 0.98337 0.000 1.000
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.000 0.98337 0.000 1.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.000 0.98713 1.000 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.000 0.98337 0.000 1.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.000 0.98713 1.000 0.000
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.000 0.98713 1.000 0.000
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 2 0.000 0.98337 0.000 1.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.000 0.98713 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.96883 1.000 0.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.88925 0.000 0.000 1.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.0000 0.96883 1.000 0.000 0.000
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.0000 0.96883 1.000 0.000 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.0000 0.96883 1.000 0.000 0.000
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.0000 0.96883 1.000 0.000 0.000
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 1 0.6295 0.19409 0.528 0.472 0.000
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 2 0.0000 0.78635 0.000 1.000 0.000
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.0000 0.96883 1.000 0.000 0.000
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 1 0.0000 0.96883 1.000 0.000 0.000
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.0000 0.96883 1.000 0.000 0.000
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 3 0.0000 0.88925 0.000 0.000 1.000
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.96883 1.000 0.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 3 0.0000 0.88925 0.000 0.000 1.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 1 0.4702 0.72395 0.788 0.212 0.000
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 3 0.4931 0.62399 0.000 0.232 0.768
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0000 0.96883 1.000 0.000 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.96883 1.000 0.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 1 0.0000 0.96883 1.000 0.000 0.000
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0000 0.96883 1.000 0.000 0.000
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#> AE3211D1-65C0-46B1-A67F-741C21A7D1C4 2 0.6302 0.07530 0.000 0.520 0.480
#> D7244456-CB99-4893-85FE-65082CC4F17C 2 0.5785 0.44507 0.000 0.668 0.332
#> C4E0F193-49DC-4A49-84BB-337AAF277145 1 0.0000 0.96883 1.000 0.000 0.000
#> E2DF7E97-6BE1-412C-B71D-151B87739653 2 0.0000 0.78635 0.000 1.000 0.000
#> 022BCEE2-4794-4D5D-87E5-22CD25FDBA98 3 0.0000 0.88925 0.000 0.000 1.000
#> 2AF33CEA-C327-4A31-84D8-C4F26E8A3ECF 1 0.0000 0.96883 1.000 0.000 0.000
#> E877B9C0-11C5-4CC8-BAE1-AC210535F3DB 1 0.0000 0.96883 1.000 0.000 0.000
#> 0E737E9F-1045-4B86-A290-ED927D5DE7BF 3 0.0000 0.88925 0.000 0.000 1.000
#> D1B88E26-3B64-4E1A-8E50-22AD100BD9F9 2 0.0000 0.78635 0.000 1.000 0.000
#> 3AEB8943-FE34-4014-B851-BBF83857A794 2 0.0424 0.78278 0.000 0.992 0.008
#> BECD727E-E3C1-4C42-9047-D97B7444B20B 2 0.0000 0.78635 0.000 1.000 0.000
#> AF866E63-9EA1-4669-B9C4-FC7E877334AE 3 0.0000 0.88925 0.000 0.000 1.000
#> F9C8E54A-4CE4-4839-B0CA-58678461EEF1 3 0.0000 0.88925 0.000 0.000 1.000
#> AE818BC4-05BF-4E85-A4AD-F3E43DD7D37A 3 0.4002 0.72753 0.000 0.160 0.840
#> BA73A860-CADE-408D-8D27-14EADA2B53B0 1 0.0000 0.96883 1.000 0.000 0.000
#> 688858C8-48CA-43E9-AE2C-B9D4F80B5EE9 3 0.6309 -0.00316 0.000 0.496 0.504
#> EB1D52B2-17B3-491E-B484-1235633D6925 3 0.2711 0.79766 0.000 0.088 0.912
#> AE261B5D-3881-40B9-8EE7-26B950E0BE16 1 0.0000 0.96883 1.000 0.000 0.000
#> 8C9851D5-3091-4DE0-A59E-9122C0CA1CD2 3 0.6309 -0.00316 0.000 0.496 0.504
#> C8180F95-4E9C-45DB-B959-B47F64167C2D 1 0.6308 0.13469 0.508 0.492 0.000
#> 552D3B42-8D22-4B64-B3A2-B3E5D51A8524 3 0.6308 0.01160 0.000 0.492 0.508
#> FED9F364-BC3F-4134-BF4B-4D24B0EB8315 1 0.0000 0.96883 1.000 0.000 0.000
#> 7B0D7792-C803-4DD0-B9BF-CB83DA2D199A 1 0.0000 0.96883 1.000 0.000 0.000
#> B4F82CBB-A47C-44C3-81AC-CF775FF06FCD 1 0.0000 0.96883 1.000 0.000 0.000
#> BFAB10CF-5B24-40F7-92E7-C2E60DD779EF 3 0.0000 0.88925 0.000 0.000 1.000
#> E4E259E1-48B2-4C76-B113-E46270742F53 3 0.0000 0.88925 0.000 0.000 1.000
#> 81FCBC31-367A-4B1C-A832-B133E4A43738 2 0.3619 0.70098 0.136 0.864 0.000
#> 8690FA0F-9C1C-4D97-813A-3FB56827FBFC 2 0.0237 0.78465 0.000 0.996 0.004
#> 9810CF0C-99D1-445B-B1F9-C956D2438495 3 0.0000 0.88925 0.000 0.000 1.000
#> 2F5073E1-9EDD-46B5-95E3-8314E2A5B620 3 0.4974 0.53985 0.236 0.000 0.764
#> B454F9FB-439A-43B5-877D-752D0F138AB5 3 0.0000 0.88925 0.000 0.000 1.000
#> 287F2B71-92F8-4D14-8249-C1BFBB254BE7 1 0.0000 0.96883 1.000 0.000 0.000
#> 52DC920F-0AD5-47CE-BD81-31843876B71E 1 0.0000 0.96883 1.000 0.000 0.000
#> 6BAC4B1B-C3FC-4A09-9821-232E510E6A47 1 0.0000 0.96883 1.000 0.000 0.000
#> A2B87EED-0D8E-4B20-85D3-FD9CC5E2E806 1 0.0000 0.96883 1.000 0.000 0.000
#> 43E6DB93-2DA6-4F0F-BF81-0C3869134D2B 1 0.0000 0.96883 1.000 0.000 0.000
#> 09A2ED74-A7C7-4DBB-8EDD-C80D0F0AEFDF 1 0.0000 0.96883 1.000 0.000 0.000
#> 35EDCB52-D4B5-4305-8A74-95EFE6F2BFB1 1 0.0892 0.94692 0.980 0.000 0.020
#> D5D18AF8-9CC2-496C-A83A-31BBA0195CFD 1 0.0000 0.96883 1.000 0.000 0.000
#> 03767EDF-2F8A-41DE-8D80-F4BE861225A3 3 0.0000 0.88925 0.000 0.000 1.000
#> 586BC656-AD9C-44EF-9ED4-87DEEB5C8AA6 1 0.0000 0.96883 1.000 0.000 0.000
#> 23CA1146-CB1B-4054-A4FF-200B87444BF9 1 0.0000 0.96883 1.000 0.000 0.000
#> 910E9B6D-E7D5-4C83-A19C-1EEA6E135639 1 0.0000 0.96883 1.000 0.000 0.000
#> F36353A3-6CE6-4347-A78B-0AAD8FAB14AD 1 0.0000 0.96883 1.000 0.000 0.000
#> 2045736E-7D0F-4B17-B74B-3B12AEE3E68C 1 0.0000 0.96883 1.000 0.000 0.000
#> 5EFA2C2D-30B3-4D66-9601-354711F9FC56 3 0.0000 0.88925 0.000 0.000 1.000
#> 3FBD381D-84C8-4680-980B-CC4B7924BE06 3 0.6302 0.05242 0.000 0.480 0.520
#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 2 0.2537 0.74536 0.080 0.920 0.000
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 1 0.0000 0.96883 1.000 0.000 0.000
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 2 0.5810 0.43792 0.000 0.664 0.336
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 3 0.6309 -0.00351 0.000 0.496 0.504
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 1 0.0000 0.96883 1.000 0.000 0.000
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 3 0.0000 0.88925 0.000 0.000 1.000
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 2 0.2537 0.74536 0.080 0.920 0.000
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 1 0.0000 0.96883 1.000 0.000 0.000
#> A3343F40-F977-4F9B-856A-28781F10F4CD 3 0.0000 0.88925 0.000 0.000 1.000
#> DA144299-5541-47D7-A59E-C92896DF08FC 1 0.0000 0.96883 1.000 0.000 0.000
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 3 0.0000 0.88925 0.000 0.000 1.000
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.0000 0.96883 1.000 0.000 0.000
#> 617447CF-9327-4062-B22C-71A8944C948F 2 0.6267 0.16748 0.000 0.548 0.452
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0000 0.96883 1.000 0.000 0.000
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 3 0.6260 0.14975 0.000 0.448 0.552
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.0000 0.96883 1.000 0.000 0.000
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 3 0.0237 0.88624 0.000 0.004 0.996
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.0000 0.96883 1.000 0.000 0.000
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 3 0.0000 0.88925 0.000 0.000 1.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 3 0.6299 0.06525 0.000 0.476 0.524
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 3 0.0000 0.88925 0.000 0.000 1.000
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.0000 0.96883 1.000 0.000 0.000
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 1 0.4002 0.75365 0.840 0.000 0.160
#> 69365512-8052-4BEA-B60D-9E065DD436BB 3 0.6299 0.06525 0.000 0.476 0.524
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 1 0.0000 0.96883 1.000 0.000 0.000
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.0000 0.96883 1.000 0.000 0.000
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 3 0.0000 0.88925 0.000 0.000 1.000
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 3 0.0000 0.88925 0.000 0.000 1.000
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 1 0.0000 0.96883 1.000 0.000 0.000
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 3 0.0000 0.88925 0.000 0.000 1.000
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.0000 0.96883 1.000 0.000 0.000
#> DA1301D3-1F84-46C5-AB44-079493A81A51 3 0.0000 0.88925 0.000 0.000 1.000
#> A12B1681-B598-40C3-80FE-1801F3F1189D 1 0.0000 0.96883 1.000 0.000 0.000
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 2 0.0237 0.78471 0.004 0.996 0.000
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 1 0.3941 0.80048 0.844 0.156 0.000
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 3 0.0000 0.88925 0.000 0.000 1.000
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.0237 0.78472 0.000 0.996 0.004
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 1 0.0000 0.96883 1.000 0.000 0.000
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 3 0.0000 0.88925 0.000 0.000 1.000
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 3 0.0000 0.88925 0.000 0.000 1.000
#> 1D0379B1-0E99-4E6D-B890-907C92860654 2 0.6298 0.30771 0.004 0.608 0.388
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.4291 0.65020 0.000 0.820 0.180
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 2 0.2537 0.74536 0.080 0.920 0.000
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 2 0.0000 0.78635 0.000 1.000 0.000
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0000 0.96883 1.000 0.000 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 3 0.6309 -0.01868 0.000 0.500 0.500
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.0000 0.96883 1.000 0.000 0.000
#> ECC40A03-488E-4076-8A3A-234D968623AD 3 0.0000 0.88925 0.000 0.000 1.000
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0000 0.96883 1.000 0.000 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.6309 0.00129 0.000 0.500 0.500
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 1 0.0000 0.96883 1.000 0.000 0.000
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 3 0.6309 -0.00316 0.000 0.496 0.504
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.0000 0.96883 1.000 0.000 0.000
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 3 0.0000 0.88925 0.000 0.000 1.000
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.96883 1.000 0.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.96883 1.000 0.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.6309 0.00129 0.000 0.500 0.500
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.0000 0.96883 1.000 0.000 0.000
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.0000 0.78635 0.000 1.000 0.000
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.88925 0.000 0.000 1.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 3 0.0000 0.88925 0.000 0.000 1.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.0000 0.88925 0.000 0.000 1.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 1 0.0000 0.96883 1.000 0.000 0.000
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 3 0.0000 0.88925 0.000 0.000 1.000
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.6260 0.17964 0.000 0.552 0.448
#> 479A968D-4692-404B-A866-B74E7DD17995 3 0.6307 0.02547 0.000 0.488 0.512
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.4842 0.60155 0.000 0.776 0.224
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.96883 1.000 0.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.96883 1.000 0.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.0000 0.96883 1.000 0.000 0.000
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0000 0.96883 1.000 0.000 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 3 0.0000 0.88925 0.000 0.000 1.000
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 3 0.1643 0.85297 0.000 0.044 0.956
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0000 0.96883 1.000 0.000 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 3 0.0000 0.88925 0.000 0.000 1.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.0000 0.96883 1.000 0.000 0.000
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.0000 0.96883 1.000 0.000 0.000
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.88925 0.000 0.000 1.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.0000 0.96883 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.9594 1.000 0.000 0.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.9626 0.000 0.000 1.000 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.1389 0.9333 0.952 0.000 0.000 0.048
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.0000 0.9594 1.000 0.000 0.000 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.2413 0.9059 0.916 0.020 0.000 0.064
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.0817 0.9474 0.976 0.000 0.000 0.024
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 4 0.2345 0.7804 0.100 0.000 0.000 0.900
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 4 0.1824 0.7761 0.004 0.060 0.000 0.936
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.2413 0.9059 0.916 0.020 0.000 0.064
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 4 0.4605 0.5880 0.336 0.000 0.000 0.664
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.1637 0.9048 0.940 0.000 0.000 0.060
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 3 0.0000 0.9626 0.000 0.000 1.000 0.000
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.9594 1.000 0.000 0.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 3 0.0000 0.9626 0.000 0.000 1.000 0.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 4 0.4431 0.6431 0.304 0.000 0.000 0.696
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.1716 0.8898 0.000 0.936 0.064 0.000
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0000 0.9594 1.000 0.000 0.000 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.9594 1.000 0.000 0.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 1 0.2413 0.9059 0.916 0.020 0.000 0.064
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0469 0.9536 0.988 0.000 0.000 0.012
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 1 0.3266 0.7975 0.832 0.000 0.000 0.168
#> 83453F80-8A68-4A3C-995D-85CFB1011249 3 0.3074 0.8142 0.000 0.152 0.848 0.000
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 4 0.2751 0.7875 0.040 0.056 0.000 0.904
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0000 0.9594 1.000 0.000 0.000 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 4 0.3123 0.6408 0.000 0.000 0.156 0.844
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 1 0.2413 0.9059 0.916 0.020 0.000 0.064
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.0707 0.9101 0.000 0.980 0.020 0.000
#> 375FE390-434B-41D3-9029-84065B1D7B6F 4 0.3172 0.7207 0.000 0.160 0.000 0.840
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 0.9594 1.000 0.000 0.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.4643 0.5227 0.000 0.656 0.344 0.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 3 0.0000 0.9626 0.000 0.000 1.000 0.000
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 3 0.0000 0.9626 0.000 0.000 1.000 0.000
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 3 0.0469 0.9548 0.000 0.012 0.988 0.000
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.0000 0.9594 1.000 0.000 0.000 0.000
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 3 0.0000 0.9626 0.000 0.000 1.000 0.000
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 4 0.1867 0.7858 0.072 0.000 0.000 0.928
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 1 0.1557 0.9276 0.944 0.000 0.000 0.056
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0000 0.9626 0.000 0.000 1.000 0.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.0000 0.9594 1.000 0.000 0.000 0.000
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.0000 0.9626 0.000 0.000 1.000 0.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 2 0.0817 0.8921 0.000 0.976 0.000 0.024
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.0000 0.9626 0.000 0.000 1.000 0.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.0000 0.9626 0.000 0.000 1.000 0.000
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#> 7480A3B3-3BF8-4123-8E2E-8C2B52688EC6 3 0.0000 0.9626 0.000 0.000 1.000 0.000
#> AE3211D1-65C0-46B1-A67F-741C21A7D1C4 2 0.0707 0.9101 0.000 0.980 0.020 0.000
#> D7244456-CB99-4893-85FE-65082CC4F17C 2 0.0804 0.9019 0.000 0.980 0.008 0.012
#> C4E0F193-49DC-4A49-84BB-337AAF277145 1 0.1022 0.9427 0.968 0.000 0.000 0.032
#> E2DF7E97-6BE1-412C-B71D-151B87739653 4 0.1637 0.7740 0.000 0.060 0.000 0.940
#> 022BCEE2-4794-4D5D-87E5-22CD25FDBA98 3 0.0000 0.9626 0.000 0.000 1.000 0.000
#> 2AF33CEA-C327-4A31-84D8-C4F26E8A3ECF 4 0.4994 0.2650 0.480 0.000 0.000 0.520
#> E877B9C0-11C5-4CC8-BAE1-AC210535F3DB 4 0.4989 0.2868 0.472 0.000 0.000 0.528
#> 0E737E9F-1045-4B86-A290-ED927D5DE7BF 3 0.0188 0.9602 0.000 0.004 0.996 0.000
#> D1B88E26-3B64-4E1A-8E50-22AD100BD9F9 4 0.2469 0.7602 0.000 0.108 0.000 0.892
#> 3AEB8943-FE34-4014-B851-BBF83857A794 2 0.4564 0.4955 0.000 0.672 0.000 0.328
#> BECD727E-E3C1-4C42-9047-D97B7444B20B 4 0.2149 0.7677 0.000 0.088 0.000 0.912
#> AF866E63-9EA1-4669-B9C4-FC7E877334AE 3 0.3764 0.6983 0.000 0.216 0.784 0.000
#> F9C8E54A-4CE4-4839-B0CA-58678461EEF1 3 0.1211 0.9321 0.000 0.040 0.960 0.000
#> AE818BC4-05BF-4E85-A4AD-F3E43DD7D37A 2 0.1940 0.8818 0.000 0.924 0.076 0.000
#> BA73A860-CADE-408D-8D27-14EADA2B53B0 1 0.4989 -0.1126 0.528 0.000 0.000 0.472
#> 688858C8-48CA-43E9-AE2C-B9D4F80B5EE9 2 0.0707 0.9101 0.000 0.980 0.020 0.000
#> EB1D52B2-17B3-491E-B484-1235633D6925 3 0.2589 0.8683 0.000 0.000 0.884 0.116
#> AE261B5D-3881-40B9-8EE7-26B950E0BE16 1 0.0000 0.9594 1.000 0.000 0.000 0.000
#> 8C9851D5-3091-4DE0-A59E-9122C0CA1CD2 2 0.0707 0.9101 0.000 0.980 0.020 0.000
#> C8180F95-4E9C-45DB-B959-B47F64167C2D 4 0.2408 0.7792 0.104 0.000 0.000 0.896
#> 552D3B42-8D22-4B64-B3A2-B3E5D51A8524 2 0.0817 0.9099 0.000 0.976 0.024 0.000
#> FED9F364-BC3F-4134-BF4B-4D24B0EB8315 1 0.1022 0.9434 0.968 0.000 0.000 0.032
#> 7B0D7792-C803-4DD0-B9BF-CB83DA2D199A 1 0.0000 0.9594 1.000 0.000 0.000 0.000
#> B4F82CBB-A47C-44C3-81AC-CF775FF06FCD 1 0.0000 0.9594 1.000 0.000 0.000 0.000
#> BFAB10CF-5B24-40F7-92E7-C2E60DD779EF 3 0.2413 0.8990 0.000 0.020 0.916 0.064
#> E4E259E1-48B2-4C76-B113-E46270742F53 3 0.0000 0.9626 0.000 0.000 1.000 0.000
#> 81FCBC31-367A-4B1C-A832-B133E4A43738 4 0.0188 0.7693 0.000 0.004 0.000 0.996
#> 8690FA0F-9C1C-4D97-813A-3FB56827FBFC 4 0.2300 0.7671 0.000 0.048 0.028 0.924
#> 9810CF0C-99D1-445B-B1F9-C956D2438495 3 0.0000 0.9626 0.000 0.000 1.000 0.000
#> 2F5073E1-9EDD-46B5-95E3-8314E2A5B620 3 0.5189 0.7246 0.136 0.020 0.780 0.064
#> B454F9FB-439A-43B5-877D-752D0F138AB5 3 0.0000 0.9626 0.000 0.000 1.000 0.000
#> 287F2B71-92F8-4D14-8249-C1BFBB254BE7 1 0.0000 0.9594 1.000 0.000 0.000 0.000
#> 52DC920F-0AD5-47CE-BD81-31843876B71E 1 0.0000 0.9594 1.000 0.000 0.000 0.000
#> 6BAC4B1B-C3FC-4A09-9821-232E510E6A47 1 0.0000 0.9594 1.000 0.000 0.000 0.000
#> A2B87EED-0D8E-4B20-85D3-FD9CC5E2E806 1 0.0000 0.9594 1.000 0.000 0.000 0.000
#> 43E6DB93-2DA6-4F0F-BF81-0C3869134D2B 1 0.0000 0.9594 1.000 0.000 0.000 0.000
#> 09A2ED74-A7C7-4DBB-8EDD-C80D0F0AEFDF 1 0.2413 0.9059 0.916 0.020 0.000 0.064
#> 35EDCB52-D4B5-4305-8A74-95EFE6F2BFB1 1 0.2706 0.8891 0.900 0.020 0.000 0.080
#> D5D18AF8-9CC2-496C-A83A-31BBA0195CFD 1 0.2814 0.8281 0.868 0.000 0.000 0.132
#> 03767EDF-2F8A-41DE-8D80-F4BE861225A3 3 0.4552 0.7908 0.000 0.128 0.800 0.072
#> 586BC656-AD9C-44EF-9ED4-87DEEB5C8AA6 1 0.0000 0.9594 1.000 0.000 0.000 0.000
#> 23CA1146-CB1B-4054-A4FF-200B87444BF9 1 0.0000 0.9594 1.000 0.000 0.000 0.000
#> 910E9B6D-E7D5-4C83-A19C-1EEA6E135639 4 0.4999 0.2266 0.492 0.000 0.000 0.508
#> F36353A3-6CE6-4347-A78B-0AAD8FAB14AD 1 0.0000 0.9594 1.000 0.000 0.000 0.000
#> 2045736E-7D0F-4B17-B74B-3B12AEE3E68C 1 0.0000 0.9594 1.000 0.000 0.000 0.000
#> 5EFA2C2D-30B3-4D66-9601-354711F9FC56 3 0.0000 0.9626 0.000 0.000 1.000 0.000
#> 3FBD381D-84C8-4680-980B-CC4B7924BE06 2 0.0817 0.9099 0.000 0.976 0.024 0.000
#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 4 0.4877 0.6678 0.044 0.204 0.000 0.752
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 1 0.2413 0.9059 0.916 0.020 0.000 0.064
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 2 0.0804 0.9019 0.000 0.980 0.008 0.012
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 2 0.2589 0.8403 0.000 0.884 0.116 0.000
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 1 0.2089 0.9173 0.932 0.020 0.000 0.048
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 3 0.0000 0.9626 0.000 0.000 1.000 0.000
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 4 0.2751 0.7875 0.040 0.056 0.000 0.904
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 1 0.0000 0.9594 1.000 0.000 0.000 0.000
#> A3343F40-F977-4F9B-856A-28781F10F4CD 3 0.0000 0.9626 0.000 0.000 1.000 0.000
#> DA144299-5541-47D7-A59E-C92896DF08FC 1 0.0000 0.9594 1.000 0.000 0.000 0.000
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 3 0.4985 0.0307 0.000 0.468 0.532 0.000
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.0000 0.9594 1.000 0.000 0.000 0.000
#> 617447CF-9327-4062-B22C-71A8944C948F 2 0.0779 0.9082 0.000 0.980 0.016 0.004
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0000 0.9594 1.000 0.000 0.000 0.000
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 2 0.1716 0.8898 0.000 0.936 0.064 0.000
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.0000 0.9594 1.000 0.000 0.000 0.000
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.2216 0.8699 0.000 0.908 0.092 0.000
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.0000 0.9594 1.000 0.000 0.000 0.000
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 3 0.0000 0.9626 0.000 0.000 1.000 0.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 2 0.0921 0.9088 0.000 0.972 0.028 0.000
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 3 0.0000 0.9626 0.000 0.000 1.000 0.000
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.0817 0.9477 0.976 0.000 0.000 0.024
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 1 0.5349 0.6549 0.752 0.020 0.184 0.044
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.0921 0.9088 0.000 0.972 0.028 0.000
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 1 0.0000 0.9594 1.000 0.000 0.000 0.000
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.0000 0.9594 1.000 0.000 0.000 0.000
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 3 0.0000 0.9626 0.000 0.000 1.000 0.000
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 3 0.0000 0.9626 0.000 0.000 1.000 0.000
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 1 0.1902 0.9185 0.932 0.004 0.000 0.064
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 3 0.0188 0.9600 0.000 0.004 0.996 0.000
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.0000 0.9594 1.000 0.000 0.000 0.000
#> DA1301D3-1F84-46C5-AB44-079493A81A51 3 0.2722 0.8941 0.000 0.032 0.904 0.064
#> A12B1681-B598-40C3-80FE-1801F3F1189D 1 0.0000 0.9594 1.000 0.000 0.000 0.000
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 4 0.1489 0.7775 0.004 0.044 0.000 0.952
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 4 0.4008 0.6973 0.244 0.000 0.000 0.756
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 3 0.0000 0.9626 0.000 0.000 1.000 0.000
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.0707 0.8938 0.000 0.980 0.000 0.020
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 1 0.2413 0.9059 0.916 0.020 0.000 0.064
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 3 0.0000 0.9626 0.000 0.000 1.000 0.000
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 3 0.0000 0.9626 0.000 0.000 1.000 0.000
#> 1D0379B1-0E99-4E6D-B890-907C92860654 4 0.2307 0.7811 0.016 0.048 0.008 0.928
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.1022 0.8890 0.000 0.968 0.000 0.032
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 4 0.2282 0.7850 0.024 0.052 0.000 0.924
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 2 0.0817 0.8921 0.000 0.976 0.000 0.024
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0000 0.9594 1.000 0.000 0.000 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.0707 0.9101 0.000 0.980 0.020 0.000
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.0817 0.9476 0.976 0.000 0.000 0.024
#> ECC40A03-488E-4076-8A3A-234D968623AD 3 0.0000 0.9626 0.000 0.000 1.000 0.000
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0000 0.9594 1.000 0.000 0.000 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.0707 0.9101 0.000 0.980 0.020 0.000
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 1 0.2216 0.8997 0.908 0.000 0.000 0.092
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.0707 0.9101 0.000 0.980 0.020 0.000
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.0000 0.9594 1.000 0.000 0.000 0.000
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 3 0.1792 0.9071 0.000 0.068 0.932 0.000
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.9594 1.000 0.000 0.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.9594 1.000 0.000 0.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.0707 0.9101 0.000 0.980 0.020 0.000
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.0000 0.9594 1.000 0.000 0.000 0.000
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.0707 0.8938 0.000 0.980 0.000 0.020
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.9626 0.000 0.000 1.000 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 3 0.0000 0.9626 0.000 0.000 1.000 0.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.0000 0.9626 0.000 0.000 1.000 0.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 1 0.4999 -0.1855 0.508 0.000 0.000 0.492
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 3 0.0000 0.9626 0.000 0.000 1.000 0.000
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.0779 0.9082 0.000 0.980 0.016 0.004
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.0817 0.9099 0.000 0.976 0.024 0.000
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.0779 0.8980 0.000 0.980 0.004 0.016
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.9594 1.000 0.000 0.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.9594 1.000 0.000 0.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.2413 0.9059 0.916 0.020 0.000 0.064
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0000 0.9594 1.000 0.000 0.000 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 3 0.0000 0.9626 0.000 0.000 1.000 0.000
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.4008 0.7069 0.000 0.756 0.244 0.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0000 0.9594 1.000 0.000 0.000 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 3 0.0000 0.9626 0.000 0.000 1.000 0.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.0592 0.9514 0.984 0.000 0.000 0.016
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.0000 0.9594 1.000 0.000 0.000 0.000
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.9626 0.000 0.000 1.000 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.0000 0.9594 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
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.92996 1.000 0.000 0.000 0.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.96708 0.000 0.000 1.000 0.000 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.2329 0.83020 0.876 0.000 0.000 0.000 0.124
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.0000 0.92996 1.000 0.000 0.000 0.000 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 5 0.3039 0.78166 0.192 0.000 0.000 0.000 0.808
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.1121 0.90037 0.956 0.000 0.000 0.000 0.044
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 4 0.1270 0.81287 0.052 0.000 0.000 0.948 0.000
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 4 0.0000 0.82261 0.000 0.000 0.000 1.000 0.000
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 5 0.3210 0.77310 0.212 0.000 0.000 0.000 0.788
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 1 0.4135 0.51196 0.656 0.000 0.000 0.340 0.004
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.1357 0.89260 0.948 0.000 0.000 0.048 0.004
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 3 0.0000 0.96708 0.000 0.000 1.000 0.000 0.000
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.92996 1.000 0.000 0.000 0.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 3 0.0000 0.96708 0.000 0.000 1.000 0.000 0.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 4 0.3143 0.63475 0.204 0.000 0.000 0.796 0.000
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.0000 0.93462 0.000 1.000 0.000 0.000 0.000
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0000 0.92996 1.000 0.000 0.000 0.000 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.92996 1.000 0.000 0.000 0.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 5 0.3039 0.78166 0.192 0.000 0.000 0.000 0.808
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0162 0.92805 0.996 0.000 0.000 0.000 0.004
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 1 0.5519 0.50656 0.648 0.000 0.000 0.148 0.204
#> 83453F80-8A68-4A3C-995D-85CFB1011249 3 0.2690 0.80241 0.000 0.156 0.844 0.000 0.000
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 4 0.0963 0.82081 0.036 0.000 0.000 0.964 0.000
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0000 0.92996 1.000 0.000 0.000 0.000 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 4 0.4387 0.55597 0.000 0.000 0.012 0.640 0.348
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 5 0.3210 0.77302 0.212 0.000 0.000 0.000 0.788
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.0000 0.93462 0.000 1.000 0.000 0.000 0.000
#> 375FE390-434B-41D3-9029-84065B1D7B6F 4 0.1990 0.81144 0.000 0.068 0.004 0.920 0.008
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 0.92996 1.000 0.000 0.000 0.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.3508 0.61827 0.000 0.748 0.252 0.000 0.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 3 0.0000 0.96708 0.000 0.000 1.000 0.000 0.000
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#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0000 0.92996 1.000 0.000 0.000 0.000 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 3 0.0290 0.96114 0.000 0.008 0.992 0.000 0.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.1043 0.90333 0.960 0.000 0.000 0.000 0.040
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.0000 0.92996 1.000 0.000 0.000 0.000 0.000
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.96708 0.000 0.000 1.000 0.000 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.0162 0.92895 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
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.91460 1.000 0.000 0.000 0.000 0.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.94128 0.000 0.000 1.000 0.000 0.000 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.2499 0.85253 0.880 0.000 0.000 0.000 0.072 0.048
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.0146 0.91333 0.996 0.000 0.000 0.000 0.004 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 5 0.0806 0.80960 0.020 0.000 0.000 0.000 0.972 0.008
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.1575 0.88793 0.936 0.000 0.000 0.000 0.032 0.032
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 4 0.0632 0.64590 0.024 0.000 0.000 0.976 0.000 0.000
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 4 0.3547 0.23525 0.000 0.000 0.000 0.668 0.000 0.332
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 5 0.1082 0.80568 0.040 0.000 0.000 0.000 0.956 0.004
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 4 0.4760 0.16821 0.436 0.000 0.000 0.520 0.004 0.040
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.3819 0.67934 0.756 0.000 0.000 0.200 0.004 0.040
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 3 0.0000 0.94128 0.000 0.000 1.000 0.000 0.000 0.000
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.91460 1.000 0.000 0.000 0.000 0.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 3 0.0000 0.94128 0.000 0.000 1.000 0.000 0.000 0.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 4 0.1643 0.63187 0.068 0.000 0.000 0.924 0.008 0.000
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.0000 0.90429 0.000 1.000 0.000 0.000 0.000 0.000
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0000 0.91460 1.000 0.000 0.000 0.000 0.000 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.91460 1.000 0.000 0.000 0.000 0.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 5 0.0806 0.80960 0.020 0.000 0.000 0.000 0.972 0.008
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0000 0.91460 1.000 0.000 0.000 0.000 0.000 0.000
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 1 0.6862 -0.03194 0.428 0.000 0.000 0.176 0.076 0.320
#> 83453F80-8A68-4A3C-995D-85CFB1011249 3 0.2730 0.71520 0.000 0.192 0.808 0.000 0.000 0.000
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 4 0.0547 0.64643 0.020 0.000 0.000 0.980 0.000 0.000
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0000 0.91460 1.000 0.000 0.000 0.000 0.000 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 6 0.4746 0.40922 0.000 0.000 0.000 0.104 0.236 0.660
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 5 0.0865 0.80760 0.036 0.000 0.000 0.000 0.964 0.000
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.0000 0.90429 0.000 1.000 0.000 0.000 0.000 0.000
#> 375FE390-434B-41D3-9029-84065B1D7B6F 4 0.3956 0.33124 0.000 0.028 0.000 0.716 0.004 0.252
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0146 0.91402 0.996 0.000 0.000 0.000 0.000 0.004
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.2996 0.61798 0.000 0.772 0.228 0.000 0.000 0.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 3 0.1411 0.89651 0.000 0.000 0.936 0.000 0.004 0.060
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 3 0.0146 0.93933 0.000 0.000 0.996 0.000 0.000 0.004
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 3 0.1442 0.90192 0.000 0.040 0.944 0.000 0.004 0.012
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.1082 0.89835 0.956 0.000 0.000 0.000 0.004 0.040
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 3 0.0000 0.94128 0.000 0.000 1.000 0.000 0.000 0.000
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 4 0.0146 0.63938 0.000 0.000 0.000 0.996 0.000 0.004
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 1 0.2402 0.81711 0.868 0.000 0.000 0.000 0.120 0.012
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0000 0.94128 0.000 0.000 1.000 0.000 0.000 0.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.0000 0.91460 1.000 0.000 0.000 0.000 0.000 0.000
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.0000 0.94128 0.000 0.000 1.000 0.000 0.000 0.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 2 0.3409 0.54615 0.000 0.700 0.000 0.300 0.000 0.000
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.0000 0.94128 0.000 0.000 1.000 0.000 0.000 0.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.0000 0.94128 0.000 0.000 1.000 0.000 0.000 0.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 1 0.1196 0.89657 0.952 0.000 0.000 0.000 0.008 0.040
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 1 0.6456 -0.22736 0.380 0.000 0.000 0.292 0.016 0.312
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.0363 0.91005 0.988 0.000 0.000 0.000 0.012 0.000
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 4 0.3566 0.46814 0.000 0.224 0.000 0.752 0.000 0.024
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 1 0.3449 0.77367 0.808 0.000 0.000 0.000 0.076 0.116
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.0000 0.91460 1.000 0.000 0.000 0.000 0.000 0.000
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 6 0.4413 -0.18261 0.000 0.012 0.000 0.484 0.008 0.496
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.0000 0.90429 0.000 1.000 0.000 0.000 0.000 0.000
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 4 0.3966 0.22363 0.444 0.000 0.000 0.552 0.000 0.004
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.0000 0.94128 0.000 0.000 1.000 0.000 0.000 0.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.0146 0.91402 0.996 0.000 0.000 0.000 0.000 0.004
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 3 0.1049 0.91346 0.000 0.032 0.960 0.000 0.000 0.008
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 4 0.2462 0.56851 0.000 0.132 0.000 0.860 0.004 0.004
#> 208165C0-229B-49E2-A22A-575CA3157C9E 2 0.4288 0.54026 0.000 0.660 0.000 0.012 0.020 0.308
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 1 0.3727 0.69871 0.768 0.000 0.000 0.188 0.004 0.040
#> 01397021-8495-4D89-885A-166B4DBA0122 3 0.0000 0.94128 0.000 0.000 1.000 0.000 0.000 0.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 3 0.0000 0.94128 0.000 0.000 1.000 0.000 0.000 0.000
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.0363 0.91209 0.988 0.000 0.000 0.000 0.000 0.012
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 4 0.1152 0.62757 0.000 0.044 0.000 0.952 0.000 0.004
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 3 0.2912 0.67760 0.000 0.216 0.784 0.000 0.000 0.000
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 3 0.0692 0.92751 0.000 0.000 0.976 0.000 0.004 0.020
#> AA569A06-0F37-4492-93F3-60A4539A3E82 6 0.3934 0.42124 0.000 0.000 0.000 0.376 0.008 0.616
#> BC53FB75-94CA-48C3-875B-5987037D186F 3 0.0146 0.93933 0.000 0.000 0.996 0.000 0.000 0.004
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 1 0.0000 0.91460 1.000 0.000 0.000 0.000 0.000 0.000
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 3 0.0146 0.93933 0.000 0.000 0.996 0.000 0.000 0.004
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 4 0.4037 0.37830 0.000 0.000 0.000 0.608 0.012 0.380
#> DF67F589-A607-4B95-96B8-4BB344132312 3 0.0935 0.91960 0.000 0.000 0.964 0.000 0.004 0.032
#> A65233E6-C146-4ACF-8DDE-5FB12D8D9637 3 0.0000 0.94128 0.000 0.000 1.000 0.000 0.000 0.000
#> 7578C9A3-FFF8-45C4-AC28-1C6141A9A2AD 1 0.0000 0.91460 1.000 0.000 0.000 0.000 0.000 0.000
#> 4DF775B9-E2FE-4F5E-8329-C37E21C5D10E 6 0.3634 0.22685 0.000 0.000 0.000 0.000 0.356 0.644
#> 5E6B86C6-3D79-47BB-9FAF-CA22659CFEA7 1 0.1082 0.89835 0.956 0.000 0.000 0.000 0.004 0.040
#> 53286128-668B-47EA-9A5F-D768FDCCBE88 1 0.4274 0.56604 0.676 0.000 0.000 0.012 0.024 0.288
#> 01C9F351-97FE-4037-A879-9D96A3DD3FBB 3 0.0000 0.94128 0.000 0.000 1.000 0.000 0.000 0.000
#> 5487DB21-6A58-46AC-A2A1-E343082D41D8 1 0.0000 0.91460 1.000 0.000 0.000 0.000 0.000 0.000
#> 0FB3E997-4E31-4FA6-9654-11C3C0AF8D86 2 0.0000 0.90429 0.000 1.000 0.000 0.000 0.000 0.000
#> A0706E80-FDF9-4721-BEB4-90527F6D38C4 2 0.0000 0.90429 0.000 1.000 0.000 0.000 0.000 0.000
#> 5260226E-1826-4F54-8237-28993DD2EF04 3 0.0000 0.94128 0.000 0.000 1.000 0.000 0.000 0.000
#> F53F71A7-A399-49AB-8657-019C5C56F48C 6 0.3830 0.40418 0.000 0.000 0.376 0.000 0.004 0.620
#> 008159F2-5247-479A-8BFE-C394888D0B74 4 0.1765 0.60066 0.000 0.096 0.000 0.904 0.000 0.000
#> 9E6BA6FB-35F2-4510-94AE-3E7CDFED3D47 3 0.0000 0.94128 0.000 0.000 1.000 0.000 0.000 0.000
#> F12BE7AC-D2DD-4AD1-AB37-32DC85954F59 4 0.4685 0.30384 0.388 0.000 0.000 0.568 0.004 0.040
#> 38A6BA1F-B444-4155-A168-EC2DF0EE0785 1 0.0405 0.91237 0.988 0.000 0.000 0.004 0.000 0.008
#> B107D1DE-EE52-4E89-B75A-91124BFF99AE 3 0.0000 0.94128 0.000 0.000 1.000 0.000 0.000 0.000
#> D4D16D09-8895-4BEA-ABF7-F11C5D5BDCAA 5 0.0806 0.80960 0.020 0.000 0.000 0.000 0.972 0.008
#> 9A53C473-1364-4BB6-AD36-EF53E0208450 1 0.0000 0.91460 1.000 0.000 0.000 0.000 0.000 0.000
#> F00C0ED6-C811-4F32-BDB4-4ACA7861DC7D 2 0.0000 0.90429 0.000 1.000 0.000 0.000 0.000 0.000
#> 72618985-CD49-4B6F-8CB0-5EE590FAD09A 6 0.3795 0.43370 0.000 0.000 0.000 0.364 0.004 0.632
#> 978A315F-CCE9-4D03-A680-C0AD60B10557 2 0.0000 0.90429 0.000 1.000 0.000 0.000 0.000 0.000
#> B6EACAED-3944-4510-B685-0BB8D1651D4F 1 0.2629 0.84618 0.872 0.000 0.000 0.000 0.068 0.060
#> EBCF16B4-A804-45EB-8253-0F28A2645729 6 0.3695 0.18673 0.000 0.000 0.000 0.000 0.376 0.624
#> 637DC441-4A75-4DA8-8F65-91FDB5F103C7 3 0.1745 0.87244 0.000 0.000 0.920 0.000 0.068 0.012
#> 89F67654-A246-4307-9B17-4A1C01DB1AED 2 0.0000 0.90429 0.000 1.000 0.000 0.000 0.000 0.000
#> 3A8EB57B-71ED-4169-A8EB-624C67CDBBE1 3 0.0000 0.94128 0.000 0.000 1.000 0.000 0.000 0.000
#> CC4DA9C6-CAB2-44FF-8219-D293ECD07DD4 5 0.0972 0.79462 0.000 0.000 0.008 0.000 0.964 0.028
#> AEC4FDAA-8F60-43CE-8EBB-5629FA662F16 2 0.0000 0.90429 0.000 1.000 0.000 0.000 0.000 0.000
#> BFC0D795-64F4-48B3-AD08-8C564E5E5367 1 0.1480 0.88039 0.940 0.000 0.000 0.000 0.020 0.040
#> 907BBBA4-4E7B-4808-892E-F80525C3CFA3 4 0.3864 -0.20862 0.000 0.000 0.000 0.520 0.000 0.480
#> 7F21FA19-1468-4A65-A10A-A9727218A5EF 1 0.0000 0.91460 1.000 0.000 0.000 0.000 0.000 0.000
#> 905A026A-0B13-4AD3-B2BB-9A5AE76920AF 4 0.0260 0.64333 0.008 0.000 0.000 0.992 0.000 0.000
#> 6DDFC760-7BED-4A68-8DDA-9453D0FC9C1D 1 0.0000 0.91460 1.000 0.000 0.000 0.000 0.000 0.000
#> B3AFF323-BAAD-4512-A837-20C430EA39D1 1 0.3860 0.04526 0.528 0.000 0.000 0.000 0.472 0.000
#> 193E9034-42A2-4701-AA3E-2E852CA5C043 1 0.0000 0.91460 1.000 0.000 0.000 0.000 0.000 0.000
#> 8B6127D5-D3BB-4E17-914C-3ED1E2A52078 2 0.0000 0.90429 0.000 1.000 0.000 0.000 0.000 0.000
#> BD6E5E3C-DC43-4A85-84DF-84C68ABB851A 4 0.0000 0.64026 0.000 0.000 0.000 1.000 0.000 0.000
#> 881EACBD-B314-4A9E-A6DE-58DF9466AFB3 4 0.0000 0.64026 0.000 0.000 0.000 1.000 0.000 0.000
#> 195A6DF6-437D-4964-8872-C44F13E2CA4C 6 0.5988 0.31036 0.000 0.232 0.288 0.000 0.004 0.476
#> C40FD0B3-4773-490D-A342-B1CE8CC0A5BD 1 0.0458 0.91086 0.984 0.000 0.000 0.000 0.000 0.016
#> 613454BF-1A66-4DBB-90D0-246FC212DA4A 5 0.3993 0.14698 0.000 0.000 0.004 0.000 0.520 0.476
#> 5F121320-0F61-4BC0-BB69-F5C9A93BC118 1 0.0000 0.91460 1.000 0.000 0.000 0.000 0.000 0.000
#> E5637874-962B-4C43-8339-A6625D754DA8 4 0.1152 0.64040 0.044 0.000 0.000 0.952 0.000 0.004
#> 7614BF19-E3A2-492A-ABC0-557B274CA326 1 0.0260 0.91327 0.992 0.000 0.000 0.000 0.000 0.008
#> 6EB070B1-45C3-46DB-BFF9-6D9A137EC3A8 4 0.0146 0.64160 0.004 0.000 0.000 0.996 0.000 0.000
#> 873EEA1A-8AA1-4C83-B001-7BD64343ADE1 1 0.0000 0.91460 1.000 0.000 0.000 0.000 0.000 0.000
#> 2DCF0812-AC29-4BC2-8929-4D3D7B0F6335 2 0.2376 0.81597 0.000 0.888 0.000 0.068 0.000 0.044
#> 9391B623-4EC1-43A2-85EC-7B80BE87827D 5 0.0993 0.80509 0.024 0.000 0.000 0.000 0.964 0.012
#> 32A000F1-BAEA-41D2-AC75-02255A5BF2F2 2 0.0000 0.90429 0.000 1.000 0.000 0.000 0.000 0.000
#> 9C1016CE-3EAB-4FA7-806B-C8F6B08B4EA1 4 0.3975 0.20112 0.452 0.000 0.000 0.544 0.000 0.004
#> C7C4E75E-887F-4D11-9FDC-32292895A6B3 6 0.2365 0.44938 0.000 0.000 0.000 0.072 0.040 0.888
#> 54739A62-512F-499F-AFE1-B7C631B35272 1 0.0458 0.90814 0.984 0.000 0.000 0.000 0.016 0.000
#> 4476DF0E-6BB4-4682-BF59-E61071D4184E 1 0.4218 0.40997 0.616 0.000 0.000 0.000 0.360 0.024
#> DCCC6566-8A72-411D-B8F0-CC92B6D973AF 2 0.2823 0.66349 0.000 0.796 0.204 0.000 0.000 0.000
#> 781AEC2C-2604-4DAA-A55C-D07A305AF32E 3 0.0146 0.93933 0.000 0.000 0.996 0.000 0.000 0.004
#> CB6BBA89-F467-4E0E-9DD1-04631E23D18C 5 0.1152 0.79054 0.000 0.000 0.004 0.000 0.952 0.044
#> 42E0E49F-0F6A-4787-87E8-E5CEA94822F9 3 0.2135 0.81273 0.000 0.000 0.872 0.000 0.000 0.128
#> B6466D8A-6CD3-4C90-B1FC-72EBDD93AE47 4 0.1806 0.61541 0.088 0.000 0.000 0.908 0.000 0.004
#> EEBC342F-80C7-428B-A69C-35962A8A0251 3 0.3518 0.59558 0.000 0.256 0.732 0.000 0.000 0.012
#> 38CB2DA4-D03B-4AAD-820E-B3475C52A945 2 0.0146 0.90205 0.000 0.996 0.000 0.000 0.004 0.000
#> E924E4B6-F88B-4F6B-B381-24D125C05D4F 3 0.0000 0.94128 0.000 0.000 1.000 0.000 0.000 0.000
#> C207F0D6-55B8-4353-8A7D-F1BA623BED96 5 0.1196 0.78963 0.000 0.000 0.008 0.000 0.952 0.040
#> 980CBBAE-2C02-4150-8BDB-B67713B6425C 3 0.0000 0.94128 0.000 0.000 1.000 0.000 0.000 0.000
#> 2E2A42A8-50A7-4409-8504-949A2B8A46A6 1 0.2823 0.70300 0.796 0.000 0.000 0.000 0.204 0.000
#> 65B6391B-3178-4AB3-9AA8-2FFAC5491988 2 0.0000 0.90429 0.000 1.000 0.000 0.000 0.000 0.000
#> 78EEB2C7-4B64-4CB0-9C94-E2AC46A75237 1 0.6456 -0.22736 0.380 0.000 0.000 0.292 0.016 0.312
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#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 1 0.1340 0.89505 0.948 0.000 0.000 0.008 0.004 0.040
#> A3343F40-F977-4F9B-856A-28781F10F4CD 3 0.1700 0.87887 0.000 0.000 0.916 0.000 0.004 0.080
#> DA144299-5541-47D7-A59E-C92896DF08FC 1 0.0146 0.91402 0.996 0.000 0.000 0.000 0.000 0.004
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 3 0.3531 0.47951 0.000 0.328 0.672 0.000 0.000 0.000
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.0146 0.91402 0.996 0.000 0.000 0.000 0.000 0.004
#> 617447CF-9327-4062-B22C-71A8944C948F 2 0.0000 0.90429 0.000 1.000 0.000 0.000 0.000 0.000
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0000 0.91460 1.000 0.000 0.000 0.000 0.000 0.000
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 2 0.0000 0.90429 0.000 1.000 0.000 0.000 0.000 0.000
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.0146 0.91402 0.996 0.000 0.000 0.000 0.000 0.004
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.0260 0.89851 0.000 0.992 0.008 0.000 0.000 0.000
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.0000 0.91460 1.000 0.000 0.000 0.000 0.000 0.000
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 3 0.0000 0.94128 0.000 0.000 1.000 0.000 0.000 0.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 2 0.0000 0.90429 0.000 1.000 0.000 0.000 0.000 0.000
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 3 0.0000 0.94128 0.000 0.000 1.000 0.000 0.000 0.000
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.4347 0.56086 0.672 0.000 0.000 0.012 0.028 0.288
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 5 0.1434 0.79861 0.028 0.000 0.012 0.000 0.948 0.012
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.0000 0.90429 0.000 1.000 0.000 0.000 0.000 0.000
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 1 0.1082 0.89835 0.956 0.000 0.000 0.000 0.004 0.040
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.0146 0.91402 0.996 0.000 0.000 0.000 0.000 0.004
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 3 0.0000 0.94128 0.000 0.000 1.000 0.000 0.000 0.000
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 3 0.0000 0.94128 0.000 0.000 1.000 0.000 0.000 0.000
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 5 0.4150 0.34845 0.392 0.000 0.000 0.000 0.592 0.016
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 3 0.2494 0.80881 0.000 0.000 0.864 0.000 0.120 0.016
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.1082 0.89835 0.956 0.000 0.000 0.000 0.004 0.040
#> DA1301D3-1F84-46C5-AB44-079493A81A51 5 0.0858 0.79614 0.000 0.000 0.004 0.000 0.968 0.028
#> A12B1681-B598-40C3-80FE-1801F3F1189D 1 0.1442 0.89275 0.944 0.000 0.000 0.012 0.004 0.040
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 6 0.3922 0.14145 0.000 0.000 0.000 0.320 0.016 0.664
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 4 0.1411 0.63325 0.060 0.000 0.000 0.936 0.000 0.004
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 3 0.0000 0.94128 0.000 0.000 1.000 0.000 0.000 0.000
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.2219 0.78178 0.000 0.864 0.000 0.136 0.000 0.000
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 5 0.0806 0.80960 0.020 0.000 0.000 0.000 0.972 0.008
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 3 0.1152 0.91100 0.000 0.000 0.952 0.000 0.004 0.044
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 3 0.0000 0.94128 0.000 0.000 1.000 0.000 0.000 0.000
#> 1D0379B1-0E99-4E6D-B890-907C92860654 6 0.3867 0.44301 0.000 0.000 0.000 0.328 0.012 0.660
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.3853 0.56516 0.000 0.680 0.000 0.016 0.000 0.304
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 4 0.0000 0.64026 0.000 0.000 0.000 1.000 0.000 0.000
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 2 0.3266 0.59985 0.000 0.728 0.000 0.272 0.000 0.000
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0146 0.91402 0.996 0.000 0.000 0.000 0.000 0.004
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.0000 0.90429 0.000 1.000 0.000 0.000 0.000 0.000
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.2631 0.74411 0.820 0.000 0.000 0.000 0.180 0.000
#> ECC40A03-488E-4076-8A3A-234D968623AD 3 0.1152 0.91100 0.000 0.000 0.952 0.000 0.004 0.044
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0000 0.91460 1.000 0.000 0.000 0.000 0.000 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.0000 0.90429 0.000 1.000 0.000 0.000 0.000 0.000
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 6 0.6074 -0.11916 0.272 0.000 0.000 0.000 0.340 0.388
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.0000 0.90429 0.000 1.000 0.000 0.000 0.000 0.000
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.1082 0.89835 0.956 0.000 0.000 0.000 0.004 0.040
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 3 0.3052 0.81391 0.000 0.080 0.848 0.000 0.004 0.068
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.91460 1.000 0.000 0.000 0.000 0.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.91460 1.000 0.000 0.000 0.000 0.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.0000 0.90429 0.000 1.000 0.000 0.000 0.000 0.000
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.1082 0.89835 0.956 0.000 0.000 0.000 0.004 0.040
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.0146 0.90235 0.000 0.996 0.000 0.000 0.000 0.004
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.94128 0.000 0.000 1.000 0.000 0.000 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 3 0.0000 0.94128 0.000 0.000 1.000 0.000 0.000 0.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.0000 0.94128 0.000 0.000 1.000 0.000 0.000 0.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 1 0.4097 -0.02926 0.504 0.000 0.000 0.488 0.000 0.008
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 3 0.0000 0.94128 0.000 0.000 1.000 0.000 0.000 0.000
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.0000 0.90429 0.000 1.000 0.000 0.000 0.000 0.000
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.0000 0.90429 0.000 1.000 0.000 0.000 0.000 0.000
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.0000 0.90429 0.000 1.000 0.000 0.000 0.000 0.000
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.91460 1.000 0.000 0.000 0.000 0.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.91460 1.000 0.000 0.000 0.000 0.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 5 0.0972 0.80708 0.028 0.000 0.000 0.000 0.964 0.008
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0363 0.91005 0.988 0.000 0.000 0.000 0.012 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 3 0.0000 0.94128 0.000 0.000 1.000 0.000 0.000 0.000
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.3517 0.66051 0.000 0.780 0.188 0.000 0.004 0.028
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0146 0.91402 0.996 0.000 0.000 0.000 0.000 0.004
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 3 0.0458 0.92945 0.000 0.016 0.984 0.000 0.000 0.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.1334 0.88612 0.948 0.000 0.000 0.000 0.020 0.032
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.0363 0.91005 0.988 0.000 0.000 0.000 0.012 0.000
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.94128 0.000 0.000 1.000 0.000 0.000 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.1082 0.89835 0.956 0.000 0.000 0.000 0.004 0.040
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["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 17654 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'ATC' method.
#> Subgroups are detected by 'pam' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 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 0.975 0.955 0.981 0.4988 0.500 0.500
#> 3 3 0.646 0.697 0.796 0.2624 0.774 0.575
#> 4 4 0.677 0.786 0.885 0.1360 0.888 0.692
#> 5 5 0.828 0.836 0.924 0.0915 0.849 0.534
#> 6 6 0.710 0.543 0.768 0.0504 0.926 0.685
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
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.98494 1.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 2 0.0000 0.97596 0.000 1.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.0000 0.98494 1.000 0.000
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.0000 0.98494 1.000 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.0000 0.98494 1.000 0.000
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.0000 0.98494 1.000 0.000
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 1 0.0000 0.98494 1.000 0.000
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 1 0.9686 0.32941 0.604 0.396
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.0000 0.98494 1.000 0.000
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 1 0.0000 0.98494 1.000 0.000
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.0000 0.98494 1.000 0.000
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 2 0.0000 0.97596 0.000 1.000
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.98494 1.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 2 0.0000 0.97596 0.000 1.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 1 0.0000 0.98494 1.000 0.000
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.0000 0.97596 0.000 1.000
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0000 0.98494 1.000 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.98494 1.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 1 0.0000 0.98494 1.000 0.000
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0000 0.98494 1.000 0.000
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 1 0.0000 0.98494 1.000 0.000
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.0000 0.97596 0.000 1.000
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 1 0.0000 0.98494 1.000 0.000
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0000 0.98494 1.000 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 2 0.7453 0.73762 0.212 0.788
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 1 0.0000 0.98494 1.000 0.000
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.0000 0.97596 0.000 1.000
#> 375FE390-434B-41D3-9029-84065B1D7B6F 2 0.9522 0.42984 0.372 0.628
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 0.98494 1.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.0000 0.97596 0.000 1.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.0000 0.97596 0.000 1.000
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.0000 0.97596 0.000 1.000
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.0000 0.97596 0.000 1.000
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.0000 0.98494 1.000 0.000
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 2 0.0000 0.97596 0.000 1.000
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 1 0.0000 0.98494 1.000 0.000
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 1 0.0000 0.98494 1.000 0.000
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 2 0.0000 0.97596 0.000 1.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.0000 0.98494 1.000 0.000
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 2 0.0000 0.97596 0.000 1.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 1 0.0938 0.97457 0.988 0.012
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 2 0.0000 0.97596 0.000 1.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 2 0.0000 0.97596 0.000 1.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 1 0.0000 0.98494 1.000 0.000
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#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 1 0.0000 0.98494 1.000 0.000
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 1 0.0000 0.98494 1.000 0.000
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 2 0.0000 0.97596 0.000 1.000
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 2 0.0000 0.97596 0.000 1.000
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 1 0.0000 0.98494 1.000 0.000
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 2 0.0000 0.97596 0.000 1.000
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 1 0.0000 0.98494 1.000 0.000
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 1 0.0000 0.98494 1.000 0.000
#> A3343F40-F977-4F9B-856A-28781F10F4CD 2 0.0000 0.97596 0.000 1.000
#> DA144299-5541-47D7-A59E-C92896DF08FC 1 0.0000 0.98494 1.000 0.000
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 2 0.0000 0.97596 0.000 1.000
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.0000 0.98494 1.000 0.000
#> 617447CF-9327-4062-B22C-71A8944C948F 2 0.0000 0.97596 0.000 1.000
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0000 0.98494 1.000 0.000
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 2 0.0000 0.97596 0.000 1.000
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.0000 0.98494 1.000 0.000
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.0000 0.97596 0.000 1.000
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.0000 0.98494 1.000 0.000
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 2 0.0000 0.97596 0.000 1.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 2 0.0000 0.97596 0.000 1.000
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 2 0.0000 0.97596 0.000 1.000
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.0000 0.98494 1.000 0.000
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 1 0.0938 0.97457 0.988 0.012
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.0000 0.97596 0.000 1.000
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 1 0.0000 0.98494 1.000 0.000
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.0000 0.98494 1.000 0.000
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 2 0.0000 0.97596 0.000 1.000
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 2 0.0000 0.97596 0.000 1.000
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 1 0.0000 0.98494 1.000 0.000
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 2 0.0000 0.97596 0.000 1.000
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.0000 0.98494 1.000 0.000
#> DA1301D3-1F84-46C5-AB44-079493A81A51 2 0.9710 0.35701 0.400 0.600
#> A12B1681-B598-40C3-80FE-1801F3F1189D 1 0.0000 0.98494 1.000 0.000
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 1 0.9815 0.25848 0.580 0.420
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 1 0.0000 0.98494 1.000 0.000
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.0000 0.97596 0.000 1.000
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.9710 0.35705 0.400 0.600
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 1 0.0000 0.98494 1.000 0.000
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.0000 0.97596 0.000 1.000
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.0000 0.97596 0.000 1.000
#> 1D0379B1-0E99-4E6D-B890-907C92860654 2 0.9580 0.40976 0.380 0.620
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.0000 0.97596 0.000 1.000
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 1 0.0000 0.98494 1.000 0.000
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 1 0.1843 0.95919 0.972 0.028
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0000 0.98494 1.000 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.0000 0.97596 0.000 1.000
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.0000 0.98494 1.000 0.000
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.0000 0.97596 0.000 1.000
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0000 0.98494 1.000 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.0000 0.97596 0.000 1.000
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 1 0.0000 0.98494 1.000 0.000
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.0000 0.97596 0.000 1.000
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.0000 0.98494 1.000 0.000
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.0000 0.97596 0.000 1.000
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.98494 1.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.98494 1.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.0000 0.97596 0.000 1.000
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.0000 0.98494 1.000 0.000
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.0672 0.96964 0.008 0.992
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 2 0.0000 0.97596 0.000 1.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 2 0.0000 0.97596 0.000 1.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 2 0.0000 0.97596 0.000 1.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 1 0.0000 0.98494 1.000 0.000
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.0000 0.97596 0.000 1.000
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.0000 0.97596 0.000 1.000
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.0000 0.97596 0.000 1.000
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.0000 0.97596 0.000 1.000
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.98494 1.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.98494 1.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.0000 0.98494 1.000 0.000
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0000 0.98494 1.000 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.0000 0.97596 0.000 1.000
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.0000 0.97596 0.000 1.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0000 0.98494 1.000 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.0000 0.97596 0.000 1.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.0000 0.98494 1.000 0.000
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.0000 0.98494 1.000 0.000
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 2 0.0000 0.97596 0.000 1.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.0000 0.98494 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.923 1.000 0.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.6260 0.611 0.000 0.448 0.552
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 2 0.6260 0.515 0.448 0.552 0.000
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.2165 0.867 0.936 0.064 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 2 0.6260 0.515 0.448 0.552 0.000
#> 1B76089D-785F-4353-A898-4E632023D482 2 0.6299 0.452 0.476 0.524 0.000
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 2 0.6260 0.515 0.448 0.552 0.000
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 2 0.7648 0.522 0.048 0.552 0.400
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 2 0.6260 0.515 0.448 0.552 0.000
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 1 0.2066 0.875 0.940 0.060 0.000
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.5926 0.219 0.644 0.356 0.000
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 3 0.5988 0.645 0.000 0.368 0.632
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.923 1.000 0.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 3 0.0000 0.827 0.000 0.000 1.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 2 0.6267 0.507 0.452 0.548 0.000
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 3 0.0000 0.827 0.000 0.000 1.000
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0000 0.923 1.000 0.000 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.923 1.000 0.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 2 0.6260 0.515 0.448 0.552 0.000
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0000 0.923 1.000 0.000 0.000
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 2 0.6260 0.515 0.448 0.552 0.000
#> 83453F80-8A68-4A3C-995D-85CFB1011249 3 0.0000 0.827 0.000 0.000 1.000
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 2 0.6260 0.515 0.448 0.552 0.000
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0000 0.923 1.000 0.000 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 2 0.6274 0.453 0.000 0.544 0.456
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 2 0.6260 0.515 0.448 0.552 0.000
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 3 0.0000 0.827 0.000 0.000 1.000
#> 375FE390-434B-41D3-9029-84065B1D7B6F 2 0.6260 0.469 0.000 0.552 0.448
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 0.923 1.000 0.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 3 0.0000 0.827 0.000 0.000 1.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 3 0.0000 0.827 0.000 0.000 1.000
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 3 0.0000 0.827 0.000 0.000 1.000
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 3 0.0000 0.827 0.000 0.000 1.000
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.4121 0.730 0.832 0.168 0.000
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 3 0.0000 0.827 0.000 0.000 1.000
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 1 0.7940 -0.245 0.524 0.416 0.060
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 2 0.6260 0.515 0.448 0.552 0.000
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.6260 0.611 0.000 0.448 0.552
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.0237 0.921 0.996 0.004 0.000
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.6260 0.611 0.000 0.448 0.552
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 2 0.7866 0.534 0.060 0.552 0.388
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.6260 0.611 0.000 0.448 0.552
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.6260 0.611 0.000 0.448 0.552
#> 906CBD77-BD00-4199-B56C-E525C9509442 1 0.6299 -0.319 0.524 0.476 0.000
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 1 0.2165 0.873 0.936 0.064 0.000
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.3941 0.749 0.844 0.156 0.000
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 2 0.6260 0.469 0.000 0.552 0.448
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 2 0.6260 0.515 0.448 0.552 0.000
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.0000 0.923 1.000 0.000 0.000
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 2 0.7112 0.497 0.024 0.552 0.424
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.6267 0.461 0.000 0.548 0.452
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 1 0.0000 0.923 1.000 0.000 0.000
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.6260 0.611 0.000 0.448 0.552
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.0000 0.923 1.000 0.000 0.000
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 3 0.0000 0.827 0.000 0.000 1.000
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 2 0.6260 0.469 0.000 0.552 0.448
#> 208165C0-229B-49E2-A22A-575CA3157C9E 2 0.6260 0.469 0.000 0.552 0.448
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 1 0.0000 0.923 1.000 0.000 0.000
#> 01397021-8495-4D89-885A-166B4DBA0122 3 0.6260 0.611 0.000 0.448 0.552
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 3 0.6260 0.611 0.000 0.448 0.552
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.0000 0.923 1.000 0.000 0.000
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 2 0.6260 0.469 0.000 0.552 0.448
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 3 0.0000 0.827 0.000 0.000 1.000
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 3 0.0237 0.825 0.000 0.004 0.996
#> AA569A06-0F37-4492-93F3-60A4539A3E82 3 0.3879 0.637 0.000 0.152 0.848
#> BC53FB75-94CA-48C3-875B-5987037D186F 3 0.0000 0.827 0.000 0.000 1.000
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 1 0.0000 0.923 1.000 0.000 0.000
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 3 0.0000 0.827 0.000 0.000 1.000
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 2 0.6260 0.469 0.000 0.552 0.448
#> DF67F589-A607-4B95-96B8-4BB344132312 3 0.0000 0.827 0.000 0.000 1.000
#> A65233E6-C146-4ACF-8DDE-5FB12D8D9637 3 0.6260 0.611 0.000 0.448 0.552
#> 7578C9A3-FFF8-45C4-AC28-1C6141A9A2AD 1 0.0000 0.923 1.000 0.000 0.000
#> 4DF775B9-E2FE-4F5E-8329-C37E21C5D10E 2 0.6763 0.483 0.012 0.552 0.436
#> 5E6B86C6-3D79-47BB-9FAF-CA22659CFEA7 1 0.4750 0.638 0.784 0.216 0.000
#> 53286128-668B-47EA-9A5F-D768FDCCBE88 1 0.0000 0.923 1.000 0.000 0.000
#> 01C9F351-97FE-4037-A879-9D96A3DD3FBB 3 0.0000 0.827 0.000 0.000 1.000
#> 5487DB21-6A58-46AC-A2A1-E343082D41D8 2 0.6260 0.515 0.448 0.552 0.000
#> 0FB3E997-4E31-4FA6-9654-11C3C0AF8D86 3 0.0000 0.827 0.000 0.000 1.000
#> A0706E80-FDF9-4721-BEB4-90527F6D38C4 3 0.0000 0.827 0.000 0.000 1.000
#> 5260226E-1826-4F54-8237-28993DD2EF04 3 0.6260 0.611 0.000 0.448 0.552
#> F53F71A7-A399-49AB-8657-019C5C56F48C 3 0.0000 0.827 0.000 0.000 1.000
#> 008159F2-5247-479A-8BFE-C394888D0B74 2 0.7400 0.510 0.036 0.552 0.412
#> 9E6BA6FB-35F2-4510-94AE-3E7CDFED3D47 3 0.6260 0.611 0.000 0.448 0.552
#> F12BE7AC-D2DD-4AD1-AB37-32DC85954F59 1 0.4346 0.701 0.816 0.184 0.000
#> 38A6BA1F-B444-4155-A168-EC2DF0EE0785 2 0.6299 0.447 0.476 0.524 0.000
#> B107D1DE-EE52-4E89-B75A-91124BFF99AE 3 0.6260 0.611 0.000 0.448 0.552
#> D4D16D09-8895-4BEA-ABF7-F11C5D5BDCAA 2 0.6260 0.515 0.448 0.552 0.000
#> 9A53C473-1364-4BB6-AD36-EF53E0208450 1 0.0000 0.923 1.000 0.000 0.000
#> F00C0ED6-C811-4F32-BDB4-4ACA7861DC7D 3 0.0000 0.827 0.000 0.000 1.000
#> 72618985-CD49-4B6F-8CB0-5EE590FAD09A 2 0.6260 0.469 0.000 0.552 0.448
#> 978A315F-CCE9-4D03-A680-C0AD60B10557 3 0.0000 0.827 0.000 0.000 1.000
#> B6EACAED-3944-4510-B685-0BB8D1651D4F 2 0.6260 0.515 0.448 0.552 0.000
#> EBCF16B4-A804-45EB-8253-0F28A2645729 2 0.6274 0.454 0.000 0.544 0.456
#> 637DC441-4A75-4DA8-8F65-91FDB5F103C7 2 0.6302 0.403 0.000 0.520 0.480
#> 89F67654-A246-4307-9B17-4A1C01DB1AED 3 0.5178 0.428 0.000 0.256 0.744
#> 3A8EB57B-71ED-4169-A8EB-624C67CDBBE1 3 0.0000 0.827 0.000 0.000 1.000
#> CC4DA9C6-CAB2-44FF-8219-D293ECD07DD4 2 0.8665 0.567 0.324 0.552 0.124
#> AEC4FDAA-8F60-43CE-8EBB-5629FA662F16 3 0.0424 0.820 0.000 0.008 0.992
#> BFC0D795-64F4-48B3-AD08-8C564E5E5367 1 0.3482 0.793 0.872 0.128 0.000
#> 907BBBA4-4E7B-4808-892E-F80525C3CFA3 2 0.8379 0.563 0.096 0.552 0.352
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#> 50E96AE4-080D-475B-BDA4-CAC30446550D 3 0.0000 0.827 0.000 0.000 1.000
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.6260 0.469 0.000 0.552 0.448
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 2 0.6260 0.515 0.448 0.552 0.000
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 3 0.0000 0.827 0.000 0.000 1.000
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 3 0.0747 0.820 0.000 0.016 0.984
#> 1D0379B1-0E99-4E6D-B890-907C92860654 2 0.6260 0.469 0.000 0.552 0.448
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 3 0.1163 0.799 0.000 0.028 0.972
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 2 0.8425 0.566 0.100 0.552 0.348
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 2 0.6260 0.469 0.000 0.552 0.448
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0000 0.923 1.000 0.000 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 3 0.0000 0.827 0.000 0.000 1.000
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 2 0.6260 0.515 0.448 0.552 0.000
#> ECC40A03-488E-4076-8A3A-234D968623AD 3 0.0000 0.827 0.000 0.000 1.000
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0000 0.923 1.000 0.000 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 3 0.0000 0.827 0.000 0.000 1.000
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 2 0.6260 0.515 0.448 0.552 0.000
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 3 0.0000 0.827 0.000 0.000 1.000
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.4235 0.716 0.824 0.176 0.000
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 3 0.0000 0.827 0.000 0.000 1.000
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.923 1.000 0.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.923 1.000 0.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 3 0.0000 0.827 0.000 0.000 1.000
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.5988 0.161 0.632 0.368 0.000
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.6260 0.469 0.000 0.552 0.448
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.6260 0.611 0.000 0.448 0.552
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 3 0.0000 0.827 0.000 0.000 1.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.6260 0.611 0.000 0.448 0.552
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 1 0.0000 0.923 1.000 0.000 0.000
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 3 0.0000 0.827 0.000 0.000 1.000
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.6286 0.437 0.000 0.536 0.464
#> 479A968D-4692-404B-A866-B74E7DD17995 3 0.0000 0.827 0.000 0.000 1.000
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.6267 0.461 0.000 0.548 0.452
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.923 1.000 0.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.923 1.000 0.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 2 0.6260 0.515 0.448 0.552 0.000
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0892 0.909 0.980 0.020 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 3 0.0000 0.827 0.000 0.000 1.000
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 3 0.0000 0.827 0.000 0.000 1.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0000 0.923 1.000 0.000 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 3 0.0000 0.827 0.000 0.000 1.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.1643 0.891 0.956 0.044 0.000
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 2 0.6260 0.515 0.448 0.552 0.000
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.6260 0.611 0.000 0.448 0.552
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.3267 0.809 0.884 0.116 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.9087 1.000 0.000 0.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.9771 0.000 0.000 1.000 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 4 0.3024 0.7525 0.148 0.000 0.000 0.852
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.1022 0.8878 0.968 0.000 0.000 0.032
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 4 0.2973 0.7552 0.144 0.000 0.000 0.856
#> 1B76089D-785F-4353-A898-4E632023D482 4 0.3219 0.7414 0.164 0.000 0.000 0.836
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 4 0.3708 0.7528 0.148 0.020 0.000 0.832
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 4 0.4907 0.1274 0.000 0.420 0.000 0.580
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 4 0.2973 0.7552 0.144 0.000 0.000 0.856
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 1 0.2345 0.8332 0.900 0.000 0.000 0.100
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.4477 0.5063 0.688 0.000 0.000 0.312
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 3 0.5000 0.1237 0.000 0.500 0.500 0.000
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.9087 1.000 0.000 0.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 2 0.0707 0.8855 0.000 0.980 0.020 0.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 4 0.3356 0.7343 0.176 0.000 0.000 0.824
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.2973 0.8645 0.000 0.856 0.000 0.144
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0000 0.9087 1.000 0.000 0.000 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.9087 1.000 0.000 0.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 4 0.2973 0.7552 0.144 0.000 0.000 0.856
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.1211 0.8828 0.960 0.000 0.000 0.040
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 4 0.2973 0.7552 0.144 0.000 0.000 0.856
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.0000 0.8949 0.000 1.000 0.000 0.000
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 4 0.4797 0.5601 0.260 0.020 0.000 0.720
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0000 0.9087 1.000 0.000 0.000 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 4 0.4730 0.4727 0.000 0.364 0.000 0.636
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 4 0.2973 0.7552 0.144 0.000 0.000 0.856
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.2081 0.8826 0.000 0.916 0.000 0.084
#> 375FE390-434B-41D3-9029-84065B1D7B6F 4 0.4222 0.5176 0.000 0.272 0.000 0.728
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 0.9087 1.000 0.000 0.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.0000 0.8949 0.000 1.000 0.000 0.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.0000 0.8949 0.000 1.000 0.000 0.000
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.0707 0.8859 0.000 0.980 0.000 0.020
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.0000 0.8949 0.000 1.000 0.000 0.000
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.3528 0.7268 0.808 0.000 0.000 0.192
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 2 0.0000 0.8949 0.000 1.000 0.000 0.000
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 4 0.5356 0.6080 0.200 0.072 0.000 0.728
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 4 0.2973 0.7552 0.144 0.000 0.000 0.856
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0000 0.9771 0.000 0.000 1.000 0.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.0188 0.9065 0.996 0.000 0.000 0.004
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.0000 0.9771 0.000 0.000 1.000 0.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 4 0.3123 0.6661 0.000 0.156 0.000 0.844
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.0000 0.9771 0.000 0.000 1.000 0.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.0000 0.9771 0.000 0.000 1.000 0.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 4 0.4605 0.5422 0.336 0.000 0.000 0.664
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 1 0.4713 0.4545 0.640 0.000 0.000 0.360
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.2345 0.8303 0.900 0.000 0.000 0.100
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 4 0.4454 0.4527 0.000 0.308 0.000 0.692
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 4 0.2973 0.7552 0.144 0.000 0.000 0.856
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.0000 0.9087 1.000 0.000 0.000 0.000
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 4 0.4040 0.5546 0.000 0.248 0.000 0.752
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 4 0.4500 0.4344 0.000 0.316 0.000 0.684
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 1 0.0000 0.9087 1.000 0.000 0.000 0.000
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.0000 0.9771 0.000 0.000 1.000 0.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.0000 0.9087 1.000 0.000 0.000 0.000
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 2 0.0707 0.8859 0.000 0.980 0.000 0.020
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 4 0.4222 0.5180 0.000 0.272 0.000 0.728
#> 208165C0-229B-49E2-A22A-575CA3157C9E 4 0.1474 0.7283 0.000 0.052 0.000 0.948
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 1 0.0000 0.9087 1.000 0.000 0.000 0.000
#> 01397021-8495-4D89-885A-166B4DBA0122 3 0.0000 0.9771 0.000 0.000 1.000 0.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 3 0.0000 0.9771 0.000 0.000 1.000 0.000
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.0000 0.9087 1.000 0.000 0.000 0.000
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 4 0.4431 0.4598 0.000 0.304 0.000 0.696
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 2 0.0707 0.8859 0.000 0.980 0.000 0.020
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 2 0.0817 0.8839 0.000 0.976 0.024 0.000
#> AA569A06-0F37-4492-93F3-60A4539A3E82 2 0.2973 0.8645 0.000 0.856 0.000 0.144
#> BC53FB75-94CA-48C3-875B-5987037D186F 2 0.0000 0.8949 0.000 1.000 0.000 0.000
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 1 0.0000 0.9087 1.000 0.000 0.000 0.000
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 2 0.0707 0.8859 0.000 0.980 0.000 0.020
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 2 0.4916 0.4199 0.000 0.576 0.000 0.424
#> DF67F589-A607-4B95-96B8-4BB344132312 2 0.0000 0.8949 0.000 1.000 0.000 0.000
#> A65233E6-C146-4ACF-8DDE-5FB12D8D9637 3 0.0000 0.9771 0.000 0.000 1.000 0.000
#> 7578C9A3-FFF8-45C4-AC28-1C6141A9A2AD 1 0.0000 0.9087 1.000 0.000 0.000 0.000
#> 4DF775B9-E2FE-4F5E-8329-C37E21C5D10E 4 0.4790 0.4372 0.000 0.380 0.000 0.620
#> 5E6B86C6-3D79-47BB-9FAF-CA22659CFEA7 1 0.3528 0.7257 0.808 0.000 0.000 0.192
#> 53286128-668B-47EA-9A5F-D768FDCCBE88 1 0.0469 0.9024 0.988 0.000 0.000 0.012
#> 01C9F351-97FE-4037-A879-9D96A3DD3FBB 2 0.0000 0.8949 0.000 1.000 0.000 0.000
#> 5487DB21-6A58-46AC-A2A1-E343082D41D8 4 0.2973 0.7552 0.144 0.000 0.000 0.856
#> 0FB3E997-4E31-4FA6-9654-11C3C0AF8D86 2 0.2868 0.8675 0.000 0.864 0.000 0.136
#> A0706E80-FDF9-4721-BEB4-90527F6D38C4 2 0.2973 0.8645 0.000 0.856 0.000 0.144
#> 5260226E-1826-4F54-8237-28993DD2EF04 3 0.0000 0.9771 0.000 0.000 1.000 0.000
#> F53F71A7-A399-49AB-8657-019C5C56F48C 2 0.0707 0.8859 0.000 0.980 0.000 0.020
#> 008159F2-5247-479A-8BFE-C394888D0B74 4 0.2530 0.7053 0.000 0.112 0.000 0.888
#> 9E6BA6FB-35F2-4510-94AE-3E7CDFED3D47 3 0.0000 0.9771 0.000 0.000 1.000 0.000
#> F12BE7AC-D2DD-4AD1-AB37-32DC85954F59 1 0.3569 0.7203 0.804 0.000 0.000 0.196
#> 38A6BA1F-B444-4155-A168-EC2DF0EE0785 4 0.4989 0.2217 0.472 0.000 0.000 0.528
#> B107D1DE-EE52-4E89-B75A-91124BFF99AE 3 0.0000 0.9771 0.000 0.000 1.000 0.000
#> D4D16D09-8895-4BEA-ABF7-F11C5D5BDCAA 4 0.2973 0.7552 0.144 0.000 0.000 0.856
#> 9A53C473-1364-4BB6-AD36-EF53E0208450 1 0.0000 0.9087 1.000 0.000 0.000 0.000
#> F00C0ED6-C811-4F32-BDB4-4ACA7861DC7D 2 0.2973 0.8645 0.000 0.856 0.000 0.144
#> 72618985-CD49-4B6F-8CB0-5EE590FAD09A 2 0.4431 0.6774 0.000 0.696 0.000 0.304
#> 978A315F-CCE9-4D03-A680-C0AD60B10557 2 0.2973 0.8645 0.000 0.856 0.000 0.144
#> B6EACAED-3944-4510-B685-0BB8D1651D4F 4 0.2973 0.7552 0.144 0.000 0.000 0.856
#> EBCF16B4-A804-45EB-8253-0F28A2645729 4 0.4222 0.6260 0.000 0.272 0.000 0.728
#> 637DC441-4A75-4DA8-8F65-91FDB5F103C7 2 0.4543 0.4283 0.000 0.676 0.000 0.324
#> 89F67654-A246-4307-9B17-4A1C01DB1AED 2 0.4134 0.7461 0.000 0.740 0.000 0.260
#> 3A8EB57B-71ED-4169-A8EB-624C67CDBBE1 2 0.0000 0.8949 0.000 1.000 0.000 0.000
#> CC4DA9C6-CAB2-44FF-8219-D293ECD07DD4 4 0.2973 0.7066 0.000 0.144 0.000 0.856
#> AEC4FDAA-8F60-43CE-8EBB-5629FA662F16 2 0.2973 0.8645 0.000 0.856 0.000 0.144
#> BFC0D795-64F4-48B3-AD08-8C564E5E5367 1 0.4843 0.3710 0.604 0.000 0.000 0.396
#> 907BBBA4-4E7B-4808-892E-F80525C3CFA3 4 0.0000 0.7361 0.000 0.000 0.000 1.000
#> 7F21FA19-1468-4A65-A10A-A9727218A5EF 1 0.0000 0.9087 1.000 0.000 0.000 0.000
#> 905A026A-0B13-4AD3-B2BB-9A5AE76920AF 4 0.5496 0.3322 0.372 0.024 0.000 0.604
#> 6DDFC760-7BED-4A68-8DDA-9453D0FC9C1D 1 0.0000 0.9087 1.000 0.000 0.000 0.000
#> B3AFF323-BAAD-4512-A837-20C430EA39D1 4 0.2973 0.7552 0.144 0.000 0.000 0.856
#> 193E9034-42A2-4701-AA3E-2E852CA5C043 1 0.0000 0.9087 1.000 0.000 0.000 0.000
#> 8B6127D5-D3BB-4E17-914C-3ED1E2A52078 2 0.2973 0.8645 0.000 0.856 0.000 0.144
#> BD6E5E3C-DC43-4A85-84DF-84C68ABB851A 4 0.0707 0.7346 0.000 0.020 0.000 0.980
#> 881EACBD-B314-4A9E-A6DE-58DF9466AFB3 4 0.0707 0.7346 0.000 0.020 0.000 0.980
#> 195A6DF6-437D-4964-8872-C44F13E2CA4C 2 0.2345 0.8832 0.000 0.900 0.000 0.100
#> C40FD0B3-4773-490D-A342-B1CE8CC0A5BD 1 0.0000 0.9087 1.000 0.000 0.000 0.000
#> 613454BF-1A66-4DBB-90D0-246FC212DA4A 4 0.2973 0.7066 0.000 0.144 0.000 0.856
#> 5F121320-0F61-4BC0-BB69-F5C9A93BC118 1 0.0000 0.9087 1.000 0.000 0.000 0.000
#> E5637874-962B-4C43-8339-A6625D754DA8 4 0.1042 0.7379 0.008 0.020 0.000 0.972
#> 7614BF19-E3A2-492A-ABC0-557B274CA326 1 0.0000 0.9087 1.000 0.000 0.000 0.000
#> 6EB070B1-45C3-46DB-BFF9-6D9A137EC3A8 4 0.4228 0.6676 0.232 0.008 0.000 0.760
#> 873EEA1A-8AA1-4C83-B001-7BD64343ADE1 1 0.0000 0.9087 1.000 0.000 0.000 0.000
#> 2DCF0812-AC29-4BC2-8929-4D3D7B0F6335 2 0.3123 0.8568 0.000 0.844 0.000 0.156
#> 9391B623-4EC1-43A2-85EC-7B80BE87827D 4 0.2973 0.7552 0.144 0.000 0.000 0.856
#> 32A000F1-BAEA-41D2-AC75-02255A5BF2F2 2 0.2973 0.8645 0.000 0.856 0.000 0.144
#> 9C1016CE-3EAB-4FA7-806B-C8F6B08B4EA1 1 0.0000 0.9087 1.000 0.000 0.000 0.000
#> C7C4E75E-887F-4D11-9FDC-32292895A6B3 4 0.4877 0.1987 0.000 0.408 0.000 0.592
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#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.0000 0.9087 1.000 0.000 0.000 0.000
#> DA1301D3-1F84-46C5-AB44-079493A81A51 4 0.2973 0.7066 0.000 0.144 0.000 0.856
#> A12B1681-B598-40C3-80FE-1801F3F1189D 1 0.2814 0.8063 0.868 0.000 0.000 0.132
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 4 0.4898 0.1416 0.000 0.416 0.000 0.584
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 1 0.0000 0.9087 1.000 0.000 0.000 0.000
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.0000 0.8949 0.000 1.000 0.000 0.000
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 4 0.4356 0.4834 0.000 0.292 0.000 0.708
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 4 0.2973 0.7552 0.144 0.000 0.000 0.856
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.0000 0.8949 0.000 1.000 0.000 0.000
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.1118 0.8780 0.000 0.964 0.036 0.000
#> 1D0379B1-0E99-4E6D-B890-907C92860654 2 0.4985 0.2900 0.000 0.532 0.000 0.468
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.2973 0.8645 0.000 0.856 0.000 0.144
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 4 0.3649 0.6132 0.000 0.204 0.000 0.796
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 4 0.4382 0.4750 0.000 0.296 0.000 0.704
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0000 0.9087 1.000 0.000 0.000 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.2973 0.8645 0.000 0.856 0.000 0.144
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 4 0.3219 0.7420 0.164 0.000 0.000 0.836
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.0000 0.8949 0.000 1.000 0.000 0.000
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0000 0.9087 1.000 0.000 0.000 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.2973 0.8645 0.000 0.856 0.000 0.144
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 4 0.2973 0.7552 0.144 0.000 0.000 0.856
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.2973 0.8645 0.000 0.856 0.000 0.144
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.3569 0.7214 0.804 0.000 0.000 0.196
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.2814 0.8688 0.000 0.868 0.000 0.132
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.9087 1.000 0.000 0.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.9087 1.000 0.000 0.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.2973 0.8645 0.000 0.856 0.000 0.144
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.4713 0.3976 0.640 0.000 0.000 0.360
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 4 0.4989 -0.0712 0.000 0.472 0.000 0.528
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.9771 0.000 0.000 1.000 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 2 0.0817 0.8840 0.000 0.976 0.024 0.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.1716 0.9250 0.000 0.064 0.936 0.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 1 0.0000 0.9087 1.000 0.000 0.000 0.000
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.0000 0.8949 0.000 1.000 0.000 0.000
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.3024 0.8621 0.000 0.852 0.000 0.148
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.2973 0.8645 0.000 0.856 0.000 0.144
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.4941 0.3801 0.000 0.564 0.000 0.436
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.9087 1.000 0.000 0.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.9087 1.000 0.000 0.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 4 0.2973 0.7552 0.144 0.000 0.000 0.856
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0469 0.9018 0.988 0.000 0.000 0.012
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.0000 0.8949 0.000 1.000 0.000 0.000
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.0000 0.8949 0.000 1.000 0.000 0.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0000 0.9087 1.000 0.000 0.000 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.0000 0.8949 0.000 1.000 0.000 0.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.4356 0.5845 0.708 0.000 0.000 0.292
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 4 0.4643 0.5281 0.344 0.000 0.000 0.656
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.9771 0.000 0.000 1.000 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.4830 0.3832 0.608 0.000 0.000 0.392
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.9299 1.000 0.000 0.000 0.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.9783 0.000 0.000 1.000 0.000 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 5 0.0510 0.9185 0.016 0.000 0.000 0.000 0.984
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.0000 0.9299 1.000 0.000 0.000 0.000 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 5 0.0000 0.9187 0.000 0.000 0.000 0.000 1.000
#> 1B76089D-785F-4353-A898-4E632023D482 5 0.0609 0.9171 0.020 0.000 0.000 0.000 0.980
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 5 0.4525 0.3352 0.016 0.000 0.000 0.360 0.624
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 4 0.3561 0.6957 0.000 0.000 0.000 0.740 0.260
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 5 0.0000 0.9187 0.000 0.000 0.000 0.000 1.000
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 1 0.3586 0.6471 0.736 0.000 0.000 0.000 0.264
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.3774 0.5934 0.704 0.000 0.000 0.000 0.296
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 2 0.0000 0.9151 0.000 1.000 0.000 0.000 0.000
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.9299 1.000 0.000 0.000 0.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 2 0.0162 0.9145 0.000 0.996 0.000 0.004 0.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 5 0.1341 0.8919 0.056 0.000 0.000 0.000 0.944
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 4 0.3816 0.5433 0.000 0.304 0.000 0.696 0.000
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0000 0.9299 1.000 0.000 0.000 0.000 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.9299 1.000 0.000 0.000 0.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 5 0.0000 0.9187 0.000 0.000 0.000 0.000 1.000
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.2648 0.7911 0.848 0.000 0.000 0.000 0.152
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 5 0.0510 0.9185 0.016 0.000 0.000 0.000 0.984
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.0000 0.9151 0.000 1.000 0.000 0.000 0.000
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 4 0.4679 0.7261 0.124 0.000 0.000 0.740 0.136
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0000 0.9299 1.000 0.000 0.000 0.000 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 5 0.0000 0.9187 0.000 0.000 0.000 0.000 1.000
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 5 0.0000 0.9187 0.000 0.000 0.000 0.000 1.000
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 4 0.2605 0.7525 0.000 0.148 0.000 0.852 0.000
#> 375FE390-434B-41D3-9029-84065B1D7B6F 4 0.2929 0.7761 0.000 0.000 0.000 0.820 0.180
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 0.9299 1.000 0.000 0.000 0.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.0000 0.9151 0.000 1.000 0.000 0.000 0.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.0290 0.9135 0.000 0.992 0.000 0.008 0.000
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.0162 0.9145 0.000 0.996 0.000 0.004 0.000
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.2732 0.8125 0.000 0.840 0.000 0.160 0.000
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.3932 0.5397 0.672 0.000 0.000 0.000 0.328
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 2 0.0000 0.9151 0.000 1.000 0.000 0.000 0.000
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 4 0.5861 0.5155 0.148 0.000 0.000 0.592 0.260
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 5 0.0510 0.9185 0.016 0.000 0.000 0.000 0.984
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0000 0.9783 0.000 0.000 1.000 0.000 0.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.0290 0.9250 0.992 0.000 0.000 0.000 0.008
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.0000 0.9783 0.000 0.000 1.000 0.000 0.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 4 0.0510 0.8549 0.000 0.000 0.000 0.984 0.016
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.0000 0.9783 0.000 0.000 1.000 0.000 0.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.0000 0.9783 0.000 0.000 1.000 0.000 0.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 5 0.3932 0.4814 0.328 0.000 0.000 0.000 0.672
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 5 0.0880 0.9100 0.032 0.000 0.000 0.000 0.968
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.0000 0.9299 1.000 0.000 0.000 0.000 0.000
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 4 0.0703 0.8540 0.000 0.000 0.000 0.976 0.024
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 5 0.0000 0.9187 0.000 0.000 0.000 0.000 1.000
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.0000 0.9299 1.000 0.000 0.000 0.000 0.000
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 4 0.3305 0.7385 0.000 0.000 0.000 0.776 0.224
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 4 0.0162 0.8550 0.000 0.004 0.000 0.996 0.000
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 1 0.0000 0.9299 1.000 0.000 0.000 0.000 0.000
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.0000 0.9783 0.000 0.000 1.000 0.000 0.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.0000 0.9299 1.000 0.000 0.000 0.000 0.000
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 2 0.0324 0.9131 0.000 0.992 0.000 0.004 0.004
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 4 0.0703 0.8538 0.000 0.000 0.000 0.976 0.024
#> 208165C0-229B-49E2-A22A-575CA3157C9E 4 0.0880 0.8527 0.000 0.000 0.000 0.968 0.032
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 1 0.0000 0.9299 1.000 0.000 0.000 0.000 0.000
#> 01397021-8495-4D89-885A-166B4DBA0122 3 0.0000 0.9783 0.000 0.000 1.000 0.000 0.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 3 0.0000 0.9783 0.000 0.000 1.000 0.000 0.000
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.0000 0.9299 1.000 0.000 0.000 0.000 0.000
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 4 0.0000 0.8550 0.000 0.000 0.000 1.000 0.000
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 2 0.0000 0.9151 0.000 1.000 0.000 0.000 0.000
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 2 0.0000 0.9151 0.000 1.000 0.000 0.000 0.000
#> AA569A06-0F37-4492-93F3-60A4539A3E82 4 0.0290 0.8547 0.000 0.008 0.000 0.992 0.000
#> BC53FB75-94CA-48C3-875B-5987037D186F 2 0.0162 0.9145 0.000 0.996 0.000 0.004 0.000
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 1 0.0000 0.9299 1.000 0.000 0.000 0.000 0.000
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 2 0.0000 0.9151 0.000 1.000 0.000 0.000 0.000
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 4 0.3305 0.7384 0.000 0.000 0.000 0.776 0.224
#> DF67F589-A607-4B95-96B8-4BB344132312 2 0.0000 0.9151 0.000 1.000 0.000 0.000 0.000
#> A65233E6-C146-4ACF-8DDE-5FB12D8D9637 3 0.0000 0.9783 0.000 0.000 1.000 0.000 0.000
#> 7578C9A3-FFF8-45C4-AC28-1C6141A9A2AD 1 0.0000 0.9299 1.000 0.000 0.000 0.000 0.000
#> 4DF775B9-E2FE-4F5E-8329-C37E21C5D10E 5 0.0000 0.9187 0.000 0.000 0.000 0.000 1.000
#> 5E6B86C6-3D79-47BB-9FAF-CA22659CFEA7 1 0.4114 0.4292 0.624 0.000 0.000 0.000 0.376
#> 53286128-668B-47EA-9A5F-D768FDCCBE88 1 0.1410 0.8875 0.940 0.000 0.000 0.000 0.060
#> 01C9F351-97FE-4037-A879-9D96A3DD3FBB 2 0.0000 0.9151 0.000 1.000 0.000 0.000 0.000
#> 5487DB21-6A58-46AC-A2A1-E343082D41D8 5 0.0510 0.9185 0.016 0.000 0.000 0.000 0.984
#> 0FB3E997-4E31-4FA6-9654-11C3C0AF8D86 4 0.3932 0.4701 0.000 0.328 0.000 0.672 0.000
#> A0706E80-FDF9-4721-BEB4-90527F6D38C4 4 0.0290 0.8547 0.000 0.008 0.000 0.992 0.000
#> 5260226E-1826-4F54-8237-28993DD2EF04 3 0.0000 0.9783 0.000 0.000 1.000 0.000 0.000
#> F53F71A7-A399-49AB-8657-019C5C56F48C 2 0.0162 0.9145 0.000 0.996 0.000 0.004 0.000
#> 008159F2-5247-479A-8BFE-C394888D0B74 4 0.2690 0.7934 0.000 0.000 0.000 0.844 0.156
#> 9E6BA6FB-35F2-4510-94AE-3E7CDFED3D47 3 0.0000 0.9783 0.000 0.000 1.000 0.000 0.000
#> F12BE7AC-D2DD-4AD1-AB37-32DC85954F59 1 0.3816 0.5806 0.696 0.000 0.000 0.000 0.304
#> 38A6BA1F-B444-4155-A168-EC2DF0EE0785 1 0.3752 0.6005 0.708 0.000 0.000 0.000 0.292
#> B107D1DE-EE52-4E89-B75A-91124BFF99AE 3 0.0000 0.9783 0.000 0.000 1.000 0.000 0.000
#> D4D16D09-8895-4BEA-ABF7-F11C5D5BDCAA 5 0.0000 0.9187 0.000 0.000 0.000 0.000 1.000
#> 9A53C473-1364-4BB6-AD36-EF53E0208450 1 0.0000 0.9299 1.000 0.000 0.000 0.000 0.000
#> F00C0ED6-C811-4F32-BDB4-4ACA7861DC7D 4 0.0162 0.8550 0.000 0.004 0.000 0.996 0.000
#> 72618985-CD49-4B6F-8CB0-5EE590FAD09A 4 0.3586 0.6902 0.000 0.000 0.000 0.736 0.264
#> 978A315F-CCE9-4D03-A680-C0AD60B10557 4 0.0290 0.8540 0.000 0.008 0.000 0.992 0.000
#> B6EACAED-3944-4510-B685-0BB8D1651D4F 5 0.0000 0.9187 0.000 0.000 0.000 0.000 1.000
#> EBCF16B4-A804-45EB-8253-0F28A2645729 5 0.0000 0.9187 0.000 0.000 0.000 0.000 1.000
#> 637DC441-4A75-4DA8-8F65-91FDB5F103C7 2 0.6022 0.4250 0.000 0.540 0.000 0.136 0.324
#> 89F67654-A246-4307-9B17-4A1C01DB1AED 4 0.0162 0.8550 0.000 0.004 0.000 0.996 0.000
#> 3A8EB57B-71ED-4169-A8EB-624C67CDBBE1 2 0.0000 0.9151 0.000 1.000 0.000 0.000 0.000
#> CC4DA9C6-CAB2-44FF-8219-D293ECD07DD4 5 0.0000 0.9187 0.000 0.000 0.000 0.000 1.000
#> AEC4FDAA-8F60-43CE-8EBB-5629FA662F16 4 0.0000 0.8550 0.000 0.000 0.000 1.000 0.000
#> BFC0D795-64F4-48B3-AD08-8C564E5E5367 5 0.2813 0.7698 0.168 0.000 0.000 0.000 0.832
#> 907BBBA4-4E7B-4808-892E-F80525C3CFA3 5 0.0000 0.9187 0.000 0.000 0.000 0.000 1.000
#> 7F21FA19-1468-4A65-A10A-A9727218A5EF 1 0.0794 0.9113 0.972 0.000 0.000 0.000 0.028
#> 905A026A-0B13-4AD3-B2BB-9A5AE76920AF 4 0.5725 0.5711 0.172 0.000 0.000 0.624 0.204
#> 6DDFC760-7BED-4A68-8DDA-9453D0FC9C1D 1 0.0000 0.9299 1.000 0.000 0.000 0.000 0.000
#> B3AFF323-BAAD-4512-A837-20C430EA39D1 5 0.0000 0.9187 0.000 0.000 0.000 0.000 1.000
#> 193E9034-42A2-4701-AA3E-2E852CA5C043 1 0.0000 0.9299 1.000 0.000 0.000 0.000 0.000
#> 8B6127D5-D3BB-4E17-914C-3ED1E2A52078 4 0.0000 0.8550 0.000 0.000 0.000 1.000 0.000
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#> F36353A3-6CE6-4347-A78B-0AAD8FAB14AD 1 0.0000 0.9299 1.000 0.000 0.000 0.000 0.000
#> 2045736E-7D0F-4B17-B74B-3B12AEE3E68C 1 0.0000 0.9299 1.000 0.000 0.000 0.000 0.000
#> 5EFA2C2D-30B3-4D66-9601-354711F9FC56 3 0.0000 0.9783 0.000 0.000 1.000 0.000 0.000
#> 3FBD381D-84C8-4680-980B-CC4B7924BE06 4 0.3752 0.5358 0.000 0.292 0.000 0.708 0.000
#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 5 0.3305 0.6457 0.000 0.000 0.000 0.224 0.776
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 5 0.0510 0.9185 0.016 0.000 0.000 0.000 0.984
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 4 0.0000 0.8550 0.000 0.000 0.000 1.000 0.000
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 4 0.0000 0.8550 0.000 0.000 0.000 1.000 0.000
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 5 0.0000 0.9187 0.000 0.000 0.000 0.000 1.000
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 2 0.0000 0.9151 0.000 1.000 0.000 0.000 0.000
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 4 0.4337 0.7192 0.052 0.000 0.000 0.744 0.204
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 5 0.1043 0.9047 0.040 0.000 0.000 0.000 0.960
#> A3343F40-F977-4F9B-856A-28781F10F4CD 4 0.3242 0.7195 0.000 0.216 0.000 0.784 0.000
#> DA144299-5541-47D7-A59E-C92896DF08FC 1 0.3508 0.6608 0.748 0.000 0.000 0.000 0.252
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 2 0.0000 0.9151 0.000 1.000 0.000 0.000 0.000
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.0000 0.9299 1.000 0.000 0.000 0.000 0.000
#> 617447CF-9327-4062-B22C-71A8944C948F 4 0.0162 0.8550 0.000 0.004 0.000 0.996 0.000
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0000 0.9299 1.000 0.000 0.000 0.000 0.000
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 4 0.0162 0.8550 0.000 0.004 0.000 0.996 0.000
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.4287 0.1199 0.540 0.000 0.000 0.000 0.460
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.3143 0.7653 0.000 0.796 0.000 0.204 0.000
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.0000 0.9299 1.000 0.000 0.000 0.000 0.000
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 3 0.0000 0.9783 0.000 0.000 1.000 0.000 0.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 4 0.0162 0.8550 0.000 0.004 0.000 0.996 0.000
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 2 0.4287 0.1025 0.000 0.540 0.460 0.000 0.000
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 5 0.4235 0.2664 0.424 0.000 0.000 0.000 0.576
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 5 0.0963 0.8919 0.000 0.000 0.000 0.036 0.964
#> 69365512-8052-4BEA-B60D-9E065DD436BB 4 0.3895 0.4945 0.000 0.320 0.000 0.680 0.000
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 5 0.4287 0.0933 0.460 0.000 0.000 0.000 0.540
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.0000 0.9299 1.000 0.000 0.000 0.000 0.000
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 2 0.0000 0.9151 0.000 1.000 0.000 0.000 0.000
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 2 0.0000 0.9151 0.000 1.000 0.000 0.000 0.000
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 5 0.0510 0.9185 0.016 0.000 0.000 0.000 0.984
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 2 0.0671 0.9071 0.000 0.980 0.000 0.004 0.016
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.0000 0.9299 1.000 0.000 0.000 0.000 0.000
#> DA1301D3-1F84-46C5-AB44-079493A81A51 5 0.0000 0.9187 0.000 0.000 0.000 0.000 1.000
#> A12B1681-B598-40C3-80FE-1801F3F1189D 1 0.3913 0.5474 0.676 0.000 0.000 0.000 0.324
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 4 0.4060 0.5350 0.000 0.000 0.000 0.640 0.360
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 1 0.0000 0.9299 1.000 0.000 0.000 0.000 0.000
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.0162 0.9145 0.000 0.996 0.000 0.004 0.000
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 4 0.0290 0.8555 0.000 0.000 0.000 0.992 0.008
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 5 0.0000 0.9187 0.000 0.000 0.000 0.000 1.000
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.0000 0.9151 0.000 1.000 0.000 0.000 0.000
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.0000 0.9151 0.000 1.000 0.000 0.000 0.000
#> 1D0379B1-0E99-4E6D-B890-907C92860654 4 0.3480 0.7113 0.000 0.000 0.000 0.752 0.248
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 4 0.0000 0.8550 0.000 0.000 0.000 1.000 0.000
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 4 0.3636 0.6801 0.000 0.000 0.000 0.728 0.272
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 4 0.0000 0.8550 0.000 0.000 0.000 1.000 0.000
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0000 0.9299 1.000 0.000 0.000 0.000 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 4 0.0162 0.8550 0.000 0.004 0.000 0.996 0.000
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 5 0.0510 0.9185 0.016 0.000 0.000 0.000 0.984
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.0000 0.9151 0.000 1.000 0.000 0.000 0.000
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0000 0.9299 1.000 0.000 0.000 0.000 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 4 0.0000 0.8550 0.000 0.000 0.000 1.000 0.000
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 5 0.0000 0.9187 0.000 0.000 0.000 0.000 1.000
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 4 0.0000 0.8550 0.000 0.000 0.000 1.000 0.000
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.3932 0.5397 0.672 0.000 0.000 0.000 0.328
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 4 0.2561 0.7667 0.000 0.144 0.000 0.856 0.000
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.9299 1.000 0.000 0.000 0.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.9299 1.000 0.000 0.000 0.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 4 0.0162 0.8550 0.000 0.004 0.000 0.996 0.000
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.4161 0.3990 0.608 0.000 0.000 0.000 0.392
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 4 0.0000 0.8550 0.000 0.000 0.000 1.000 0.000
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.9783 0.000 0.000 1.000 0.000 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 2 0.0000 0.9151 0.000 1.000 0.000 0.000 0.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.2329 0.8414 0.000 0.124 0.876 0.000 0.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 1 0.0000 0.9299 1.000 0.000 0.000 0.000 0.000
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.0162 0.9145 0.000 0.996 0.000 0.004 0.000
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 4 0.0000 0.8550 0.000 0.000 0.000 1.000 0.000
#> 479A968D-4692-404B-A866-B74E7DD17995 4 0.1410 0.8365 0.000 0.060 0.000 0.940 0.000
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 4 0.0000 0.8550 0.000 0.000 0.000 1.000 0.000
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.9299 1.000 0.000 0.000 0.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.9299 1.000 0.000 0.000 0.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 5 0.0510 0.9185 0.016 0.000 0.000 0.000 0.984
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0290 0.9250 0.992 0.000 0.000 0.000 0.008
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.0162 0.9145 0.000 0.996 0.000 0.004 0.000
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 4 0.4074 0.2999 0.000 0.364 0.000 0.636 0.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0000 0.9299 1.000 0.000 0.000 0.000 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.0162 0.9145 0.000 0.996 0.000 0.004 0.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 5 0.4210 0.2766 0.412 0.000 0.000 0.000 0.588
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.4304 0.1095 0.516 0.000 0.000 0.000 0.484
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.9783 0.000 0.000 1.000 0.000 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 5 0.1121 0.9005 0.044 0.000 0.000 0.000 0.956
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.3843 -0.2556 0.548 0.000 0.000 0.452 0.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.9794 0.000 0.000 1.000 0.000 0.000 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.3857 -0.2715 0.532 0.000 0.000 0.000 0.468 0.000
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.3860 -0.2789 0.528 0.000 0.000 0.472 0.000 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 5 0.0000 0.7441 0.000 0.000 0.000 0.000 1.000 0.000
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.3851 -0.2577 0.540 0.000 0.000 0.000 0.460 0.000
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 1 0.6188 -0.0318 0.556 0.000 0.000 0.140 0.248 0.056
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 6 0.5659 0.5926 0.200 0.000 0.000 0.060 0.104 0.636
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 5 0.0000 0.7441 0.000 0.000 0.000 0.000 1.000 0.000
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 1 0.3934 0.0985 0.676 0.000 0.000 0.304 0.020 0.000
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.0937 0.3564 0.960 0.000 0.000 0.000 0.040 0.000
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 2 0.0000 0.9010 0.000 1.000 0.000 0.000 0.000 0.000
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 4 0.3866 0.2689 0.484 0.000 0.000 0.516 0.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 2 0.0000 0.9010 0.000 1.000 0.000 0.000 0.000 0.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 5 0.3684 0.5399 0.332 0.000 0.000 0.004 0.664 0.000
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 6 0.3126 0.5942 0.000 0.248 0.000 0.000 0.000 0.752
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.3847 -0.2435 0.544 0.000 0.000 0.456 0.000 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 4 0.3789 0.4706 0.416 0.000 0.000 0.584 0.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 5 0.0000 0.7441 0.000 0.000 0.000 0.000 1.000 0.000
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.3448 0.0350 0.716 0.000 0.000 0.280 0.004 0.000
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 5 0.1204 0.7314 0.056 0.000 0.000 0.000 0.944 0.000
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.0000 0.9010 0.000 1.000 0.000 0.000 0.000 0.000
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 6 0.5729 0.6264 0.044 0.000 0.000 0.108 0.244 0.604
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 4 0.3464 0.4322 0.312 0.000 0.000 0.688 0.000 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 5 0.2412 0.7009 0.000 0.092 0.000 0.028 0.880 0.000
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 5 0.0000 0.7441 0.000 0.000 0.000 0.000 1.000 0.000
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 6 0.2357 0.7205 0.000 0.116 0.000 0.012 0.000 0.872
#> 375FE390-434B-41D3-9029-84065B1D7B6F 6 0.5020 0.6437 0.000 0.000 0.000 0.128 0.244 0.628
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.3838 -0.3732 0.552 0.000 0.000 0.448 0.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.0000 0.9010 0.000 1.000 0.000 0.000 0.000 0.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.0146 0.8991 0.000 0.996 0.000 0.000 0.000 0.004
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.0000 0.9010 0.000 1.000 0.000 0.000 0.000 0.000
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.2491 0.7818 0.000 0.836 0.000 0.000 0.000 0.164
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.4282 0.1158 0.656 0.000 0.000 0.304 0.040 0.000
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 2 0.0000 0.9010 0.000 1.000 0.000 0.000 0.000 0.000
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 6 0.5783 0.4222 0.368 0.000 0.000 0.120 0.016 0.496
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 5 0.3547 0.5511 0.332 0.000 0.000 0.000 0.668 0.000
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0000 0.9794 0.000 0.000 1.000 0.000 0.000 0.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.1957 0.2879 0.888 0.000 0.000 0.112 0.000 0.000
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.0000 0.9794 0.000 0.000 1.000 0.000 0.000 0.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 6 0.4253 0.7191 0.000 0.000 0.000 0.108 0.160 0.732
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.0000 0.9794 0.000 0.000 1.000 0.000 0.000 0.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.0000 0.9794 0.000 0.000 1.000 0.000 0.000 0.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 5 0.5503 0.2024 0.384 0.000 0.000 0.132 0.484 0.000
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 5 0.6054 0.1352 0.328 0.000 0.000 0.268 0.404 0.000
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.4910 0.1019 0.656 0.000 0.000 0.192 0.152 0.000
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 6 0.3417 0.7342 0.000 0.000 0.000 0.044 0.160 0.796
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 5 0.3279 0.6313 0.176 0.000 0.000 0.028 0.796 0.000
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.3198 0.0142 0.740 0.000 0.000 0.260 0.000 0.000
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 6 0.4089 0.6513 0.000 0.000 0.000 0.040 0.264 0.696
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 6 0.0363 0.7817 0.000 0.000 0.000 0.012 0.000 0.988
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 4 0.3076 0.5664 0.240 0.000 0.000 0.760 0.000 0.000
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.0000 0.9794 0.000 0.000 1.000 0.000 0.000 0.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.3727 -0.2188 0.612 0.000 0.000 0.388 0.000 0.000
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 2 0.0363 0.8943 0.000 0.988 0.000 0.000 0.012 0.000
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 6 0.4175 0.7219 0.000 0.000 0.000 0.104 0.156 0.740
#> 208165C0-229B-49E2-A22A-575CA3157C9E 6 0.4147 0.3513 0.000 0.000 0.000 0.012 0.436 0.552
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 1 0.3868 -0.3872 0.504 0.000 0.000 0.496 0.000 0.000
#> 01397021-8495-4D89-885A-166B4DBA0122 3 0.0000 0.9794 0.000 0.000 1.000 0.000 0.000 0.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 3 0.0000 0.9794 0.000 0.000 1.000 0.000 0.000 0.000
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.1957 0.2646 0.888 0.000 0.000 0.112 0.000 0.000
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 6 0.0603 0.7828 0.000 0.000 0.000 0.016 0.004 0.980
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 2 0.0000 0.9010 0.000 1.000 0.000 0.000 0.000 0.000
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 2 0.0000 0.9010 0.000 1.000 0.000 0.000 0.000 0.000
#> AA569A06-0F37-4492-93F3-60A4539A3E82 6 0.2398 0.7729 0.000 0.020 0.000 0.104 0.000 0.876
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#> AE3211D1-65C0-46B1-A67F-741C21A7D1C4 6 0.0363 0.7817 0.000 0.000 0.000 0.012 0.000 0.988
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#> EB1D52B2-17B3-491E-B484-1235633D6925 2 0.2340 0.8513 0.000 0.900 0.000 0.024 0.016 0.060
#> AE261B5D-3881-40B9-8EE7-26B950E0BE16 1 0.2949 0.3737 0.832 0.000 0.000 0.028 0.140 0.000
#> 8C9851D5-3091-4DE0-A59E-9122C0CA1CD2 6 0.0146 0.7827 0.000 0.004 0.000 0.000 0.000 0.996
#> C8180F95-4E9C-45DB-B959-B47F64167C2D 6 0.5531 0.4967 0.336 0.000 0.000 0.108 0.012 0.544
#> 552D3B42-8D22-4B64-B3A2-B3E5D51A8524 6 0.0725 0.7805 0.000 0.012 0.000 0.012 0.000 0.976
#> FED9F364-BC3F-4134-BF4B-4D24B0EB8315 5 0.3866 0.3414 0.484 0.000 0.000 0.000 0.516 0.000
#> 7B0D7792-C803-4DD0-B9BF-CB83DA2D199A 1 0.2823 0.1515 0.796 0.000 0.000 0.204 0.000 0.000
#> B4F82CBB-A47C-44C3-81AC-CF775FF06FCD 1 0.1092 0.3499 0.960 0.000 0.000 0.020 0.020 0.000
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#> E4E259E1-48B2-4C76-B113-E46270742F53 2 0.0000 0.9010 0.000 1.000 0.000 0.000 0.000 0.000
#> 81FCBC31-367A-4B1C-A832-B133E4A43738 5 0.1910 0.6845 0.000 0.000 0.000 0.108 0.892 0.000
#> 8690FA0F-9C1C-4D97-813A-3FB56827FBFC 6 0.4351 0.7103 0.000 0.000 0.000 0.108 0.172 0.720
#> 9810CF0C-99D1-445B-B1F9-C956D2438495 3 0.0000 0.9794 0.000 0.000 1.000 0.000 0.000 0.000
#> 2F5073E1-9EDD-46B5-95E3-8314E2A5B620 5 0.0713 0.7399 0.000 0.000 0.000 0.028 0.972 0.000
#> B454F9FB-439A-43B5-877D-752D0F138AB5 2 0.0000 0.9010 0.000 1.000 0.000 0.000 0.000 0.000
#> 287F2B71-92F8-4D14-8249-C1BFBB254BE7 1 0.3717 -0.2118 0.616 0.000 0.000 0.384 0.000 0.000
#> 52DC920F-0AD5-47CE-BD81-31843876B71E 1 0.3684 -0.1971 0.628 0.000 0.000 0.372 0.000 0.000
#> 6BAC4B1B-C3FC-4A09-9821-232E510E6A47 1 0.2499 0.3445 0.880 0.000 0.000 0.048 0.072 0.000
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#> 03767EDF-2F8A-41DE-8D80-F4BE861225A3 5 0.0405 0.7428 0.000 0.004 0.000 0.008 0.988 0.000
#> 586BC656-AD9C-44EF-9ED4-87DEEB5C8AA6 1 0.3592 0.0690 0.656 0.000 0.000 0.344 0.000 0.000
#> 23CA1146-CB1B-4054-A4FF-200B87444BF9 1 0.3684 -0.1971 0.628 0.000 0.000 0.372 0.000 0.000
#> 910E9B6D-E7D5-4C83-A19C-1EEA6E135639 1 0.3198 0.1107 0.740 0.000 0.000 0.260 0.000 0.000
#> F36353A3-6CE6-4347-A78B-0AAD8FAB14AD 4 0.3782 0.4755 0.412 0.000 0.000 0.588 0.000 0.000
#> 2045736E-7D0F-4B17-B74B-3B12AEE3E68C 1 0.3330 -0.0476 0.716 0.000 0.000 0.284 0.000 0.000
#> 5EFA2C2D-30B3-4D66-9601-354711F9FC56 3 0.0000 0.9794 0.000 0.000 1.000 0.000 0.000 0.000
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#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 5 0.1578 0.7269 0.004 0.000 0.000 0.048 0.936 0.012
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 5 0.3482 0.5631 0.316 0.000 0.000 0.000 0.684 0.000
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 6 0.0363 0.7817 0.000 0.000 0.000 0.012 0.000 0.988
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 6 0.0363 0.7817 0.000 0.000 0.000 0.012 0.000 0.988
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 5 0.0000 0.7441 0.000 0.000 0.000 0.000 1.000 0.000
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 2 0.0000 0.9010 0.000 1.000 0.000 0.000 0.000 0.000
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 6 0.5429 0.6228 0.020 0.000 0.000 0.108 0.264 0.608
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 1 0.5979 -0.0625 0.416 0.000 0.000 0.232 0.352 0.000
#> A3343F40-F977-4F9B-856A-28781F10F4CD 6 0.3647 0.5091 0.000 0.360 0.000 0.000 0.000 0.640
#> DA144299-5541-47D7-A59E-C92896DF08FC 1 0.3812 0.2639 0.712 0.000 0.000 0.024 0.264 0.000
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 2 0.0000 0.9010 0.000 1.000 0.000 0.000 0.000 0.000
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 4 0.2969 0.6006 0.224 0.000 0.000 0.776 0.000 0.000
#> 617447CF-9327-4062-B22C-71A8944C948F 6 0.0000 0.7820 0.000 0.000 0.000 0.000 0.000 1.000
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.3864 -0.2947 0.520 0.000 0.000 0.480 0.000 0.000
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 6 0.0458 0.7827 0.000 0.000 0.000 0.016 0.000 0.984
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.4302 0.3404 0.728 0.000 0.000 0.116 0.156 0.000
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.3748 0.6072 0.000 0.688 0.000 0.012 0.000 0.300
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.3371 -0.0536 0.708 0.000 0.000 0.292 0.000 0.000
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 3 0.0000 0.9794 0.000 0.000 1.000 0.000 0.000 0.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 6 0.1075 0.7810 0.000 0.000 0.000 0.048 0.000 0.952
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 2 0.3833 0.1751 0.000 0.556 0.444 0.000 0.000 0.000
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 4 0.4842 0.1643 0.324 0.000 0.000 0.600 0.076 0.000
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 5 0.1745 0.7033 0.000 0.000 0.000 0.012 0.920 0.068
#> 69365512-8052-4BEA-B60D-9E065DD436BB 6 0.3748 0.4580 0.000 0.300 0.000 0.012 0.000 0.688
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 1 0.2260 0.3773 0.860 0.000 0.000 0.000 0.140 0.000
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.3862 -0.3788 0.524 0.000 0.000 0.476 0.000 0.000
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 2 0.0000 0.9010 0.000 1.000 0.000 0.000 0.000 0.000
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 2 0.0000 0.9010 0.000 1.000 0.000 0.000 0.000 0.000
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 5 0.3428 0.5758 0.304 0.000 0.000 0.000 0.696 0.000
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 2 0.4134 0.5507 0.000 0.656 0.000 0.028 0.316 0.000
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 4 0.3838 0.3913 0.448 0.000 0.000 0.552 0.000 0.000
#> DA1301D3-1F84-46C5-AB44-079493A81A51 5 0.0000 0.7441 0.000 0.000 0.000 0.000 1.000 0.000
#> A12B1681-B598-40C3-80FE-1801F3F1189D 1 0.1434 0.3622 0.940 0.000 0.000 0.012 0.048 0.000
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 6 0.4461 0.4249 0.000 0.000 0.000 0.032 0.404 0.564
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 4 0.3854 0.4328 0.464 0.000 0.000 0.536 0.000 0.000
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.0000 0.9010 0.000 1.000 0.000 0.000 0.000 0.000
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 6 0.2129 0.7818 0.000 0.000 0.000 0.056 0.040 0.904
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 5 0.0000 0.7441 0.000 0.000 0.000 0.000 1.000 0.000
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.0000 0.9010 0.000 1.000 0.000 0.000 0.000 0.000
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.0000 0.9010 0.000 1.000 0.000 0.000 0.000 0.000
#> 1D0379B1-0E99-4E6D-B890-907C92860654 6 0.5359 0.5909 0.208 0.000 0.000 0.044 0.092 0.656
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 6 0.0363 0.7817 0.000 0.000 0.000 0.012 0.000 0.988
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 6 0.5025 0.6123 0.000 0.000 0.000 0.108 0.284 0.608
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 6 0.1863 0.7730 0.000 0.000 0.000 0.104 0.000 0.896
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.3817 -0.2439 0.568 0.000 0.000 0.432 0.000 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 6 0.0363 0.7817 0.000 0.000 0.000 0.012 0.000 0.988
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 5 0.3482 0.5631 0.316 0.000 0.000 0.000 0.684 0.000
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.0000 0.9010 0.000 1.000 0.000 0.000 0.000 0.000
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.3864 -0.2586 0.520 0.000 0.000 0.480 0.000 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 6 0.0363 0.7817 0.000 0.000 0.000 0.012 0.000 0.988
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 5 0.3586 0.5947 0.216 0.000 0.000 0.028 0.756 0.000
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 6 0.0363 0.7817 0.000 0.000 0.000 0.012 0.000 0.988
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.3405 0.3200 0.812 0.000 0.000 0.112 0.076 0.000
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 6 0.2762 0.6869 0.000 0.196 0.000 0.000 0.000 0.804
#> 99982293-0EF8-4436-9698-4BD38CE70D15 4 0.3774 0.4810 0.408 0.000 0.000 0.592 0.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 4 0.3810 0.4545 0.428 0.000 0.000 0.572 0.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 6 0.0363 0.7817 0.000 0.000 0.000 0.012 0.000 0.988
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.1444 0.3677 0.928 0.000 0.000 0.000 0.072 0.000
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 6 0.0363 0.7817 0.000 0.000 0.000 0.012 0.000 0.988
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.9794 0.000 0.000 1.000 0.000 0.000 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 2 0.0000 0.9010 0.000 1.000 0.000 0.000 0.000 0.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.2048 0.8484 0.000 0.120 0.880 0.000 0.000 0.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 4 0.3857 0.4287 0.468 0.000 0.000 0.532 0.000 0.000
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.0000 0.9010 0.000 1.000 0.000 0.000 0.000 0.000
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 6 0.1863 0.7730 0.000 0.000 0.000 0.104 0.000 0.896
#> 479A968D-4692-404B-A866-B74E7DD17995 6 0.1151 0.7796 0.000 0.032 0.000 0.012 0.000 0.956
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 6 0.0458 0.7830 0.000 0.000 0.000 0.016 0.000 0.984
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 4 0.3838 0.4530 0.448 0.000 0.000 0.552 0.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 4 0.2969 0.6006 0.224 0.000 0.000 0.776 0.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 5 0.2697 0.6641 0.188 0.000 0.000 0.000 0.812 0.000
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 4 0.3823 0.4429 0.436 0.000 0.000 0.564 0.000 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.0000 0.9010 0.000 1.000 0.000 0.000 0.000 0.000
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 6 0.3351 0.4686 0.000 0.288 0.000 0.000 0.000 0.712
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.3634 0.0475 0.644 0.000 0.000 0.356 0.000 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.0260 0.8971 0.000 0.992 0.000 0.008 0.000 0.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.5193 0.1533 0.552 0.000 0.000 0.344 0.104 0.000
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.3774 0.0914 0.592 0.000 0.000 0.000 0.408 0.000
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.9794 0.000 0.000 1.000 0.000 0.000 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.3756 -0.1075 0.600 0.000 0.000 0.000 0.400 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 17654 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'ATC' method.
#> Subgroups are detected by 'mclust' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 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 0.946 0.949 0.979 0.4970 0.501 0.501
#> 3 3 0.918 0.937 0.975 0.1700 0.828 0.686
#> 4 4 0.635 0.697 0.791 0.1673 0.905 0.778
#> 5 5 0.703 0.763 0.851 0.0806 0.872 0.658
#> 6 6 0.711 0.697 0.819 0.0442 0.979 0.927
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
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.9674 1.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 2 0.0000 0.9870 0.000 1.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.0000 0.9674 1.000 0.000
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.6438 0.8053 0.836 0.164
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.0000 0.9674 1.000 0.000
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.0000 0.9674 1.000 0.000
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 2 0.8555 0.5951 0.280 0.720
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 2 0.0000 0.9870 0.000 1.000
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.0000 0.9674 1.000 0.000
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 1 0.5294 0.8559 0.880 0.120
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.0000 0.9674 1.000 0.000
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 2 0.0000 0.9870 0.000 1.000
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.9674 1.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 2 0.0000 0.9870 0.000 1.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 2 0.6148 0.8103 0.152 0.848
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.0000 0.9870 0.000 1.000
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0000 0.9674 1.000 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.9674 1.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 1 0.0000 0.9674 1.000 0.000
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0000 0.9674 1.000 0.000
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 1 0.4431 0.8854 0.908 0.092
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.0000 0.9870 0.000 1.000
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 2 0.0000 0.9870 0.000 1.000
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0000 0.9674 1.000 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 2 0.9248 0.4631 0.340 0.660
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 1 0.0000 0.9674 1.000 0.000
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.0000 0.9870 0.000 1.000
#> 375FE390-434B-41D3-9029-84065B1D7B6F 2 0.0000 0.9870 0.000 1.000
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 0.9674 1.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.0000 0.9870 0.000 1.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.0000 0.9870 0.000 1.000
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.0000 0.9870 0.000 1.000
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.0000 0.9870 0.000 1.000
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.0000 0.9674 1.000 0.000
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 2 0.0000 0.9870 0.000 1.000
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 2 0.0000 0.9870 0.000 1.000
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 1 0.0000 0.9674 1.000 0.000
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 2 0.0000 0.9870 0.000 1.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.0000 0.9674 1.000 0.000
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 2 0.0000 0.9870 0.000 1.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 2 0.0000 0.9870 0.000 1.000
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 2 0.0000 0.9870 0.000 1.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 2 0.0000 0.9870 0.000 1.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 1 0.0000 0.9674 1.000 0.000
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 1 0.5629 0.8430 0.868 0.132
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.0000 0.9674 1.000 0.000
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 2 0.0000 0.9870 0.000 1.000
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 1 0.0000 0.9674 1.000 0.000
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.0000 0.9674 1.000 0.000
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 2 0.0000 0.9870 0.000 1.000
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.0000 0.9870 0.000 1.000
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 1 0.8499 0.6420 0.724 0.276
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 2 0.0000 0.9870 0.000 1.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.0000 0.9674 1.000 0.000
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 2 0.0000 0.9870 0.000 1.000
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 2 0.0000 0.9870 0.000 1.000
#> 208165C0-229B-49E2-A22A-575CA3157C9E 2 0.0000 0.9870 0.000 1.000
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 1 0.0000 0.9674 1.000 0.000
#> 01397021-8495-4D89-885A-166B4DBA0122 2 0.0000 0.9870 0.000 1.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 2 0.0000 0.9870 0.000 1.000
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.0000 0.9674 1.000 0.000
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 2 0.0000 0.9870 0.000 1.000
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 2 0.0000 0.9870 0.000 1.000
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 2 0.0000 0.9870 0.000 1.000
#> AA569A06-0F37-4492-93F3-60A4539A3E82 2 0.0000 0.9870 0.000 1.000
#> BC53FB75-94CA-48C3-875B-5987037D186F 2 0.0000 0.9870 0.000 1.000
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 1 0.0000 0.9674 1.000 0.000
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 2 0.0000 0.9870 0.000 1.000
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 2 0.0000 0.9870 0.000 1.000
#> DF67F589-A607-4B95-96B8-4BB344132312 2 0.0000 0.9870 0.000 1.000
#> A65233E6-C146-4ACF-8DDE-5FB12D8D9637 2 0.0000 0.9870 0.000 1.000
#> 7578C9A3-FFF8-45C4-AC28-1C6141A9A2AD 1 0.0000 0.9674 1.000 0.000
#> 4DF775B9-E2FE-4F5E-8329-C37E21C5D10E 1 0.0000 0.9674 1.000 0.000
#> 5E6B86C6-3D79-47BB-9FAF-CA22659CFEA7 1 0.0000 0.9674 1.000 0.000
#> 53286128-668B-47EA-9A5F-D768FDCCBE88 1 0.0000 0.9674 1.000 0.000
#> 01C9F351-97FE-4037-A879-9D96A3DD3FBB 2 0.0000 0.9870 0.000 1.000
#> 5487DB21-6A58-46AC-A2A1-E343082D41D8 1 0.0000 0.9674 1.000 0.000
#> 0FB3E997-4E31-4FA6-9654-11C3C0AF8D86 2 0.0000 0.9870 0.000 1.000
#> A0706E80-FDF9-4721-BEB4-90527F6D38C4 2 0.0000 0.9870 0.000 1.000
#> 5260226E-1826-4F54-8237-28993DD2EF04 2 0.0000 0.9870 0.000 1.000
#> F53F71A7-A399-49AB-8657-019C5C56F48C 2 0.0000 0.9870 0.000 1.000
#> 008159F2-5247-479A-8BFE-C394888D0B74 2 0.0000 0.9870 0.000 1.000
#> 9E6BA6FB-35F2-4510-94AE-3E7CDFED3D47 2 0.0000 0.9870 0.000 1.000
#> F12BE7AC-D2DD-4AD1-AB37-32DC85954F59 1 0.7745 0.7186 0.772 0.228
#> 38A6BA1F-B444-4155-A168-EC2DF0EE0785 1 0.0000 0.9674 1.000 0.000
#> B107D1DE-EE52-4E89-B75A-91124BFF99AE 2 0.0000 0.9870 0.000 1.000
#> D4D16D09-8895-4BEA-ABF7-F11C5D5BDCAA 1 0.0000 0.9674 1.000 0.000
#> 9A53C473-1364-4BB6-AD36-EF53E0208450 1 0.0000 0.9674 1.000 0.000
#> F00C0ED6-C811-4F32-BDB4-4ACA7861DC7D 2 0.0000 0.9870 0.000 1.000
#> 72618985-CD49-4B6F-8CB0-5EE590FAD09A 2 0.0000 0.9870 0.000 1.000
#> 978A315F-CCE9-4D03-A680-C0AD60B10557 2 0.0000 0.9870 0.000 1.000
#> B6EACAED-3944-4510-B685-0BB8D1651D4F 1 0.0000 0.9674 1.000 0.000
#> EBCF16B4-A804-45EB-8253-0F28A2645729 1 0.0000 0.9674 1.000 0.000
#> 637DC441-4A75-4DA8-8F65-91FDB5F103C7 1 0.0000 0.9674 1.000 0.000
#> 89F67654-A246-4307-9B17-4A1C01DB1AED 2 0.0000 0.9870 0.000 1.000
#> 3A8EB57B-71ED-4169-A8EB-624C67CDBBE1 2 0.0000 0.9870 0.000 1.000
#> CC4DA9C6-CAB2-44FF-8219-D293ECD07DD4 1 0.0000 0.9674 1.000 0.000
#> AEC4FDAA-8F60-43CE-8EBB-5629FA662F16 2 0.0000 0.9870 0.000 1.000
#> BFC0D795-64F4-48B3-AD08-8C564E5E5367 1 0.0000 0.9674 1.000 0.000
#> 907BBBA4-4E7B-4808-892E-F80525C3CFA3 1 0.9993 0.1093 0.516 0.484
#> 7F21FA19-1468-4A65-A10A-A9727218A5EF 1 0.0000 0.9674 1.000 0.000
#> 905A026A-0B13-4AD3-B2BB-9A5AE76920AF 2 0.0000 0.9870 0.000 1.000
#> 6DDFC760-7BED-4A68-8DDA-9453D0FC9C1D 1 0.0000 0.9674 1.000 0.000
#> B3AFF323-BAAD-4512-A837-20C430EA39D1 1 0.0376 0.9644 0.996 0.004
#> 193E9034-42A2-4701-AA3E-2E852CA5C043 1 0.0000 0.9674 1.000 0.000
#> 8B6127D5-D3BB-4E17-914C-3ED1E2A52078 2 0.0000 0.9870 0.000 1.000
#> BD6E5E3C-DC43-4A85-84DF-84C68ABB851A 2 0.0000 0.9870 0.000 1.000
#> 881EACBD-B314-4A9E-A6DE-58DF9466AFB3 2 0.0376 0.9831 0.004 0.996
#> 195A6DF6-437D-4964-8872-C44F13E2CA4C 2 0.0000 0.9870 0.000 1.000
#> C40FD0B3-4773-490D-A342-B1CE8CC0A5BD 1 0.0000 0.9674 1.000 0.000
#> 613454BF-1A66-4DBB-90D0-246FC212DA4A 1 0.0000 0.9674 1.000 0.000
#> 5F121320-0F61-4BC0-BB69-F5C9A93BC118 1 0.0000 0.9674 1.000 0.000
#> E5637874-962B-4C43-8339-A6625D754DA8 1 0.9170 0.5346 0.668 0.332
#> 7614BF19-E3A2-492A-ABC0-557B274CA326 1 0.0000 0.9674 1.000 0.000
#> 6EB070B1-45C3-46DB-BFF9-6D9A137EC3A8 2 0.9170 0.4819 0.332 0.668
#> 873EEA1A-8AA1-4C83-B001-7BD64343ADE1 1 0.0000 0.9674 1.000 0.000
#> 2DCF0812-AC29-4BC2-8929-4D3D7B0F6335 2 0.0000 0.9870 0.000 1.000
#> 9391B623-4EC1-43A2-85EC-7B80BE87827D 1 0.0000 0.9674 1.000 0.000
#> 32A000F1-BAEA-41D2-AC75-02255A5BF2F2 2 0.0000 0.9870 0.000 1.000
#> 9C1016CE-3EAB-4FA7-806B-C8F6B08B4EA1 1 0.8499 0.6420 0.724 0.276
#> C7C4E75E-887F-4D11-9FDC-32292895A6B3 2 0.7299 0.7311 0.204 0.796
#> 54739A62-512F-499F-AFE1-B7C631B35272 1 0.0000 0.9674 1.000 0.000
#> 4476DF0E-6BB4-4682-BF59-E61071D4184E 1 0.0000 0.9674 1.000 0.000
#> DCCC6566-8A72-411D-B8F0-CC92B6D973AF 2 0.0000 0.9870 0.000 1.000
#> 781AEC2C-2604-4DAA-A55C-D07A305AF32E 1 0.0376 0.9643 0.996 0.004
#> CB6BBA89-F467-4E0E-9DD1-04631E23D18C 1 0.0000 0.9674 1.000 0.000
#> 42E0E49F-0F6A-4787-87E8-E5CEA94822F9 2 0.0000 0.9870 0.000 1.000
#> B6466D8A-6CD3-4C90-B1FC-72EBDD93AE47 2 0.1184 0.9713 0.016 0.984
#> EEBC342F-80C7-428B-A69C-35962A8A0251 2 0.0000 0.9870 0.000 1.000
#> 38CB2DA4-D03B-4AAD-820E-B3475C52A945 2 0.0000 0.9870 0.000 1.000
#> E924E4B6-F88B-4F6B-B381-24D125C05D4F 2 0.0000 0.9870 0.000 1.000
#> C207F0D6-55B8-4353-8A7D-F1BA623BED96 1 0.0000 0.9674 1.000 0.000
#> 980CBBAE-2C02-4150-8BDB-B67713B6425C 2 0.0000 0.9870 0.000 1.000
#> 2E2A42A8-50A7-4409-8504-949A2B8A46A6 1 0.0000 0.9674 1.000 0.000
#> 65B6391B-3178-4AB3-9AA8-2FFAC5491988 2 0.0000 0.9870 0.000 1.000
#> 78EEB2C7-4B64-4CB0-9C94-E2AC46A75237 1 0.5629 0.8430 0.868 0.132
#> 4F05A349-3B06-425C-A8CC-63C1B23A3D65 1 0.0000 0.9674 1.000 0.000
#> 1CE1B4DB-1F7B-4F30-BAA1-E0252199F05B 2 0.0000 0.9870 0.000 1.000
#> 05FAAE20-A94E-41FA-B6B6-7DDCFB4F9657 1 0.0000 0.9674 1.000 0.000
#> 8C635DC8-6BED-46F6-893F-2AFB6CB3481A 1 0.0000 0.9674 1.000 0.000
#> 48410523-5F22-4531-97FA-7C796AD58989 1 0.0000 0.9674 1.000 0.000
#> B68D29BD-EDC7-4375-99F7-C5DAF72F3BA6 1 0.0000 0.9674 1.000 0.000
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#> E5F03831-7077-4ABB-AB3F-7AEA2AAC529B 2 0.0000 0.9870 0.000 1.000
#> 4770600E-74BC-405F-B175-D337C0375285 2 0.0000 0.9870 0.000 1.000
#> 2FD60201-C797-4782-A1F7-45345E334B28 1 0.0000 0.9674 1.000 0.000
#> 371959B1-8D14-4FD1-A854-3DFB92D097FA 2 0.0000 0.9870 0.000 1.000
#> CD5AE438-D578-472E-B7B2-1DBD52D43233 2 0.0000 0.9870 0.000 1.000
#> 8DABCB90-2352-452A-8A71-4A359F50863B 1 0.0000 0.9674 1.000 0.000
#> 0A562D9C-52B2-4CE1-8173-4874835682E5 2 0.0000 0.9870 0.000 1.000
#> E3746081-2D1B-470B-A308-4B2E3A139C21 1 0.0000 0.9674 1.000 0.000
#> A7154064-ADD6-4D31-9622-8051F9A94BD2 1 0.8955 0.5753 0.688 0.312
#> D125BE69-EA3E-4E26-83B3-966C9B4E2E1D 1 0.0000 0.9674 1.000 0.000
#> D4A7D4B9-2E9D-4ED5-886F-664A212C9BE1 2 0.0000 0.9870 0.000 1.000
#> 1EFC6C80-2CBC-4F7F-9D95-D3259F22AED3 1 0.9323 0.4999 0.652 0.348
#> 9A0F8AF1-6845-474B-9897-F884E44DF78B 1 0.0000 0.9674 1.000 0.000
#> 5FFEF93E-3421-44BC-95BE-CA07D2343CD9 1 0.0000 0.9674 1.000 0.000
#> 706CD6CB-20D1-4B61-91CE-96468AFAB948 1 0.0000 0.9674 1.000 0.000
#> E75D87AF-DC22-4A00-8DAC-EDE1D242B3E5 2 0.0000 0.9870 0.000 1.000
#> B6428D53-EA3B-41A1-9092-3B47BF9F6089 1 0.0000 0.9674 1.000 0.000
#> 726D44D6-0732-44EA-B911-A5A1F0A758CF 1 0.0000 0.9674 1.000 0.000
#> E9FDE3D9-2845-4737-8957-BF36D7B39464 1 0.1843 0.9446 0.972 0.028
#> A70A345C-7683-4176-869B-8EDEFD966C1B 1 0.0000 0.9674 1.000 0.000
#> AB1C8455-7C2F-4154-95EF-B23EB5FD405A 2 0.0000 0.9870 0.000 1.000
#> 052F9CFB-8816-4A1D-B3C2-6A50168F7299 1 0.0000 0.9674 1.000 0.000
#> A821C6AB-91E5-4A72-8F3F-5D628FA351F0 2 0.0000 0.9870 0.000 1.000
#> 1D7F357E-0075-4AFA-BFCB-0297B90800F1 2 0.0000 0.9870 0.000 1.000
#> 5984264D-BD86-4D2F-8718-7DCAE974F50B 1 0.8763 0.6060 0.704 0.296
#> F24CC083-662D-457C-9BEC-3B68D63236AE 2 0.0000 0.9870 0.000 1.000
#> 48350BD7-9F6E-4DB5-B34A-F47B0BA74EF6 2 0.0000 0.9870 0.000 1.000
#> 94523D56-65BB-4860-9B7F-5859F5C82C05 2 0.0000 0.9870 0.000 1.000
#> CED33410-C7DE-43CC-941A-7652B200E5BB 2 0.0000 0.9870 0.000 1.000
#> 7E122E61-7895-4322-97BE-ABC29D7B7EA9 2 0.0000 0.9870 0.000 1.000
#> 60506411-6B29-49B4-9183-F54EE8B02CC4 1 0.0000 0.9674 1.000 0.000
#> ED52DF66-827A-4A8C-8E50-03C85FA04508 1 0.0000 0.9674 1.000 0.000
#> AB3B48ED-CFF9-4D66-BF3A-E9267D57BA14 2 0.0000 0.9870 0.000 1.000
#> 248A7931-1EB5-47E3-A966-E6AF62E21FC1 2 0.0000 0.9870 0.000 1.000
#> CB846F43-7719-4B7E-946B-32E6384F3CC4 1 0.0000 0.9674 1.000 0.000
#> 940E691A-04A2-410F-B1FB-A66A3BFE10E7 2 0.0000 0.9870 0.000 1.000
#> C3842EA2-E3BC-48DE-9B59-92145AC2F716 2 0.0000 0.9870 0.000 1.000
#> 497FB1B2-A998-44F3-8D69-6974314F941D 2 0.0000 0.9870 0.000 1.000
#> 4BAA88D6-4A88-4D54-9B0E-83365CC85C39 1 0.0000 0.9674 1.000 0.000
#> 7480A3B3-3BF8-4123-8E2E-8C2B52688EC6 2 0.0000 0.9870 0.000 1.000
#> AE3211D1-65C0-46B1-A67F-741C21A7D1C4 2 0.0000 0.9870 0.000 1.000
#> D7244456-CB99-4893-85FE-65082CC4F17C 2 0.0000 0.9870 0.000 1.000
#> C4E0F193-49DC-4A49-84BB-337AAF277145 1 0.0000 0.9674 1.000 0.000
#> E2DF7E97-6BE1-412C-B71D-151B87739653 2 0.0000 0.9870 0.000 1.000
#> 022BCEE2-4794-4D5D-87E5-22CD25FDBA98 2 0.0000 0.9870 0.000 1.000
#> 2AF33CEA-C327-4A31-84D8-C4F26E8A3ECF 1 0.8499 0.6420 0.724 0.276
#> E877B9C0-11C5-4CC8-BAE1-AC210535F3DB 1 0.7883 0.7066 0.764 0.236
#> 0E737E9F-1045-4B86-A290-ED927D5DE7BF 2 0.0000 0.9870 0.000 1.000
#> D1B88E26-3B64-4E1A-8E50-22AD100BD9F9 2 0.0000 0.9870 0.000 1.000
#> 3AEB8943-FE34-4014-B851-BBF83857A794 2 0.0000 0.9870 0.000 1.000
#> BECD727E-E3C1-4C42-9047-D97B7444B20B 2 0.0000 0.9870 0.000 1.000
#> AF866E63-9EA1-4669-B9C4-FC7E877334AE 2 0.0000 0.9870 0.000 1.000
#> F9C8E54A-4CE4-4839-B0CA-58678461EEF1 2 0.0000 0.9870 0.000 1.000
#> AE818BC4-05BF-4E85-A4AD-F3E43DD7D37A 2 0.0000 0.9870 0.000 1.000
#> BA73A860-CADE-408D-8D27-14EADA2B53B0 1 0.8499 0.6420 0.724 0.276
#> 688858C8-48CA-43E9-AE2C-B9D4F80B5EE9 2 0.0000 0.9870 0.000 1.000
#> EB1D52B2-17B3-491E-B484-1235633D6925 2 0.0000 0.9870 0.000 1.000
#> AE261B5D-3881-40B9-8EE7-26B950E0BE16 1 0.0000 0.9674 1.000 0.000
#> 8C9851D5-3091-4DE0-A59E-9122C0CA1CD2 2 0.0000 0.9870 0.000 1.000
#> C8180F95-4E9C-45DB-B959-B47F64167C2D 2 0.1414 0.9672 0.020 0.980
#> 552D3B42-8D22-4B64-B3A2-B3E5D51A8524 2 0.0000 0.9870 0.000 1.000
#> FED9F364-BC3F-4134-BF4B-4D24B0EB8315 1 0.0000 0.9674 1.000 0.000
#> 7B0D7792-C803-4DD0-B9BF-CB83DA2D199A 1 0.0000 0.9674 1.000 0.000
#> B4F82CBB-A47C-44C3-81AC-CF775FF06FCD 1 0.0000 0.9674 1.000 0.000
#> BFAB10CF-5B24-40F7-92E7-C2E60DD779EF 1 0.0000 0.9674 1.000 0.000
#> E4E259E1-48B2-4C76-B113-E46270742F53 2 0.0000 0.9870 0.000 1.000
#> 81FCBC31-367A-4B1C-A832-B133E4A43738 1 1.0000 0.0650 0.504 0.496
#> 8690FA0F-9C1C-4D97-813A-3FB56827FBFC 2 0.0000 0.9870 0.000 1.000
#> 9810CF0C-99D1-445B-B1F9-C956D2438495 2 0.0000 0.9870 0.000 1.000
#> 2F5073E1-9EDD-46B5-95E3-8314E2A5B620 1 0.0000 0.9674 1.000 0.000
#> B454F9FB-439A-43B5-877D-752D0F138AB5 2 0.0000 0.9870 0.000 1.000
#> 287F2B71-92F8-4D14-8249-C1BFBB254BE7 1 0.0000 0.9674 1.000 0.000
#> 52DC920F-0AD5-47CE-BD81-31843876B71E 1 0.0000 0.9674 1.000 0.000
#> 6BAC4B1B-C3FC-4A09-9821-232E510E6A47 1 0.0000 0.9674 1.000 0.000
#> A2B87EED-0D8E-4B20-85D3-FD9CC5E2E806 1 0.0000 0.9674 1.000 0.000
#> 43E6DB93-2DA6-4F0F-BF81-0C3869134D2B 1 0.0000 0.9674 1.000 0.000
#> 09A2ED74-A7C7-4DBB-8EDD-C80D0F0AEFDF 1 0.0000 0.9674 1.000 0.000
#> 35EDCB52-D4B5-4305-8A74-95EFE6F2BFB1 1 0.0000 0.9674 1.000 0.000
#> D5D18AF8-9CC2-496C-A83A-31BBA0195CFD 1 0.0000 0.9674 1.000 0.000
#> 03767EDF-2F8A-41DE-8D80-F4BE861225A3 1 0.0000 0.9674 1.000 0.000
#> 586BC656-AD9C-44EF-9ED4-87DEEB5C8AA6 1 0.0000 0.9674 1.000 0.000
#> 23CA1146-CB1B-4054-A4FF-200B87444BF9 1 0.0000 0.9674 1.000 0.000
#> 910E9B6D-E7D5-4C83-A19C-1EEA6E135639 1 0.7883 0.7066 0.764 0.236
#> F36353A3-6CE6-4347-A78B-0AAD8FAB14AD 1 0.0000 0.9674 1.000 0.000
#> 2045736E-7D0F-4B17-B74B-3B12AEE3E68C 1 0.0000 0.9674 1.000 0.000
#> 5EFA2C2D-30B3-4D66-9601-354711F9FC56 2 0.0000 0.9870 0.000 1.000
#> 3FBD381D-84C8-4680-980B-CC4B7924BE06 2 0.0000 0.9870 0.000 1.000
#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 2 0.0000 0.9870 0.000 1.000
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 1 0.0000 0.9674 1.000 0.000
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 2 0.0000 0.9870 0.000 1.000
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 2 0.0000 0.9870 0.000 1.000
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 1 0.0000 0.9674 1.000 0.000
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 2 0.0000 0.9870 0.000 1.000
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 2 0.0000 0.9870 0.000 1.000
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 1 0.0000 0.9674 1.000 0.000
#> A3343F40-F977-4F9B-856A-28781F10F4CD 2 0.0000 0.9870 0.000 1.000
#> DA144299-5541-47D7-A59E-C92896DF08FC 1 0.0000 0.9674 1.000 0.000
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 2 0.0000 0.9870 0.000 1.000
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.0000 0.9674 1.000 0.000
#> 617447CF-9327-4062-B22C-71A8944C948F 2 0.0000 0.9870 0.000 1.000
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0000 0.9674 1.000 0.000
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 2 0.0000 0.9870 0.000 1.000
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.0000 0.9674 1.000 0.000
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.0000 0.9870 0.000 1.000
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.0000 0.9674 1.000 0.000
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 2 0.0000 0.9870 0.000 1.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 2 0.0000 0.9870 0.000 1.000
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 2 0.0000 0.9870 0.000 1.000
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.0000 0.9674 1.000 0.000
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 1 0.1184 0.9547 0.984 0.016
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.0000 0.9870 0.000 1.000
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 1 0.0000 0.9674 1.000 0.000
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.0000 0.9674 1.000 0.000
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 2 0.0000 0.9870 0.000 1.000
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 2 0.0000 0.9870 0.000 1.000
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 1 0.0000 0.9674 1.000 0.000
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 1 0.0000 0.9674 1.000 0.000
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.0000 0.9674 1.000 0.000
#> DA1301D3-1F84-46C5-AB44-079493A81A51 1 0.0000 0.9674 1.000 0.000
#> A12B1681-B598-40C3-80FE-1801F3F1189D 1 0.0000 0.9674 1.000 0.000
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 2 0.0000 0.9870 0.000 1.000
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 2 0.9286 0.4531 0.344 0.656
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.0000 0.9870 0.000 1.000
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.0000 0.9870 0.000 1.000
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 1 0.0000 0.9674 1.000 0.000
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.0000 0.9870 0.000 1.000
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.0000 0.9870 0.000 1.000
#> 1D0379B1-0E99-4E6D-B890-907C92860654 2 0.8861 0.5449 0.304 0.696
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.0000 0.9870 0.000 1.000
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 2 0.0000 0.9870 0.000 1.000
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 2 0.0000 0.9870 0.000 1.000
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0000 0.9674 1.000 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.0000 0.9870 0.000 1.000
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.0000 0.9674 1.000 0.000
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.0000 0.9870 0.000 1.000
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0000 0.9674 1.000 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.0000 0.9870 0.000 1.000
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 1 0.0000 0.9674 1.000 0.000
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.0000 0.9870 0.000 1.000
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.0000 0.9674 1.000 0.000
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.0000 0.9870 0.000 1.000
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.9674 1.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.9674 1.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.0000 0.9870 0.000 1.000
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.0000 0.9674 1.000 0.000
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.0000 0.9870 0.000 1.000
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 2 0.0000 0.9870 0.000 1.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 2 0.0000 0.9870 0.000 1.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 2 0.0000 0.9870 0.000 1.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 1 0.8443 0.6488 0.728 0.272
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.0000 0.9870 0.000 1.000
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.0000 0.9870 0.000 1.000
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.0000 0.9870 0.000 1.000
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.0000 0.9870 0.000 1.000
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.9674 1.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.9674 1.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.0000 0.9674 1.000 0.000
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0000 0.9674 1.000 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.0000 0.9870 0.000 1.000
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.0000 0.9870 0.000 1.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0000 0.9674 1.000 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.0000 0.9870 0.000 1.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.0000 0.9674 1.000 0.000
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.0000 0.9674 1.000 0.000
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 2 0.0000 0.9870 0.000 1.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.0000 0.9674 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.984 1.000 0.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.960 0.000 0.000 1.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.0000 0.984 1.000 0.000 0.000
#> 85252141-5469-4F68-8F3F-934F8B3277E5 2 0.5363 0.590 0.276 0.724 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.0000 0.984 1.000 0.000 0.000
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.0000 0.984 1.000 0.000 0.000
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 2 0.0000 0.958 0.000 1.000 0.000
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 2 0.0000 0.958 0.000 1.000 0.000
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.0000 0.984 1.000 0.000 0.000
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 1 0.6168 0.263 0.588 0.412 0.000
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.0000 0.984 1.000 0.000 0.000
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 2 0.4555 0.753 0.000 0.800 0.200
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.984 1.000 0.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 2 0.0000 0.958 0.000 1.000 0.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 2 0.0000 0.958 0.000 1.000 0.000
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.0000 0.958 0.000 1.000 0.000
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0000 0.984 1.000 0.000 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.984 1.000 0.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 1 0.0000 0.984 1.000 0.000 0.000
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#> 2AF33CEA-C327-4A31-84D8-C4F26E8A3ECF 2 0.4346 0.737 0.184 0.816 0.000
#> E877B9C0-11C5-4CC8-BAE1-AC210535F3DB 2 0.4750 0.689 0.216 0.784 0.000
#> 0E737E9F-1045-4B86-A290-ED927D5DE7BF 2 0.0000 0.958 0.000 1.000 0.000
#> D1B88E26-3B64-4E1A-8E50-22AD100BD9F9 2 0.0000 0.958 0.000 1.000 0.000
#> 3AEB8943-FE34-4014-B851-BBF83857A794 2 0.0000 0.958 0.000 1.000 0.000
#> BECD727E-E3C1-4C42-9047-D97B7444B20B 2 0.0000 0.958 0.000 1.000 0.000
#> AF866E63-9EA1-4669-B9C4-FC7E877334AE 2 0.0000 0.958 0.000 1.000 0.000
#> F9C8E54A-4CE4-4839-B0CA-58678461EEF1 2 0.0000 0.958 0.000 1.000 0.000
#> AE818BC4-05BF-4E85-A4AD-F3E43DD7D37A 2 0.0000 0.958 0.000 1.000 0.000
#> BA73A860-CADE-408D-8D27-14EADA2B53B0 2 0.3879 0.783 0.152 0.848 0.000
#> 688858C8-48CA-43E9-AE2C-B9D4F80B5EE9 2 0.0000 0.958 0.000 1.000 0.000
#> EB1D52B2-17B3-491E-B484-1235633D6925 2 0.0000 0.958 0.000 1.000 0.000
#> AE261B5D-3881-40B9-8EE7-26B950E0BE16 1 0.0000 0.984 1.000 0.000 0.000
#> 8C9851D5-3091-4DE0-A59E-9122C0CA1CD2 2 0.0000 0.958 0.000 1.000 0.000
#> C8180F95-4E9C-45DB-B959-B47F64167C2D 2 0.0000 0.958 0.000 1.000 0.000
#> 552D3B42-8D22-4B64-B3A2-B3E5D51A8524 2 0.0000 0.958 0.000 1.000 0.000
#> FED9F364-BC3F-4134-BF4B-4D24B0EB8315 1 0.0000 0.984 1.000 0.000 0.000
#> 7B0D7792-C803-4DD0-B9BF-CB83DA2D199A 1 0.0000 0.984 1.000 0.000 0.000
#> B4F82CBB-A47C-44C3-81AC-CF775FF06FCD 1 0.0000 0.984 1.000 0.000 0.000
#> BFAB10CF-5B24-40F7-92E7-C2E60DD779EF 1 0.0000 0.984 1.000 0.000 0.000
#> E4E259E1-48B2-4C76-B113-E46270742F53 2 0.3192 0.864 0.000 0.888 0.112
#> 81FCBC31-367A-4B1C-A832-B133E4A43738 2 0.0000 0.958 0.000 1.000 0.000
#> 8690FA0F-9C1C-4D97-813A-3FB56827FBFC 2 0.0000 0.958 0.000 1.000 0.000
#> 9810CF0C-99D1-445B-B1F9-C956D2438495 3 0.6252 0.181 0.000 0.444 0.556
#> 2F5073E1-9EDD-46B5-95E3-8314E2A5B620 1 0.0000 0.984 1.000 0.000 0.000
#> B454F9FB-439A-43B5-877D-752D0F138AB5 2 0.0000 0.958 0.000 1.000 0.000
#> 287F2B71-92F8-4D14-8249-C1BFBB254BE7 1 0.0000 0.984 1.000 0.000 0.000
#> 52DC920F-0AD5-47CE-BD81-31843876B71E 1 0.0000 0.984 1.000 0.000 0.000
#> 6BAC4B1B-C3FC-4A09-9821-232E510E6A47 1 0.0000 0.984 1.000 0.000 0.000
#> A2B87EED-0D8E-4B20-85D3-FD9CC5E2E806 1 0.0000 0.984 1.000 0.000 0.000
#> 43E6DB93-2DA6-4F0F-BF81-0C3869134D2B 1 0.0000 0.984 1.000 0.000 0.000
#> 09A2ED74-A7C7-4DBB-8EDD-C80D0F0AEFDF 1 0.0000 0.984 1.000 0.000 0.000
#> 35EDCB52-D4B5-4305-8A74-95EFE6F2BFB1 1 0.0000 0.984 1.000 0.000 0.000
#> D5D18AF8-9CC2-496C-A83A-31BBA0195CFD 1 0.2261 0.896 0.932 0.068 0.000
#> 03767EDF-2F8A-41DE-8D80-F4BE861225A3 1 0.0000 0.984 1.000 0.000 0.000
#> 586BC656-AD9C-44EF-9ED4-87DEEB5C8AA6 1 0.0000 0.984 1.000 0.000 0.000
#> 23CA1146-CB1B-4054-A4FF-200B87444BF9 1 0.0000 0.984 1.000 0.000 0.000
#> 910E9B6D-E7D5-4C83-A19C-1EEA6E135639 2 0.4555 0.713 0.200 0.800 0.000
#> F36353A3-6CE6-4347-A78B-0AAD8FAB14AD 1 0.0000 0.984 1.000 0.000 0.000
#> 2045736E-7D0F-4B17-B74B-3B12AEE3E68C 1 0.0000 0.984 1.000 0.000 0.000
#> 5EFA2C2D-30B3-4D66-9601-354711F9FC56 3 0.0000 0.960 0.000 0.000 1.000
#> 3FBD381D-84C8-4680-980B-CC4B7924BE06 2 0.0000 0.958 0.000 1.000 0.000
#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 2 0.3192 0.864 0.000 0.888 0.112
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 1 0.0000 0.984 1.000 0.000 0.000
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 2 0.0000 0.958 0.000 1.000 0.000
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 2 0.0000 0.958 0.000 1.000 0.000
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 1 0.0000 0.984 1.000 0.000 0.000
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 2 0.3192 0.864 0.000 0.888 0.112
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 2 0.0000 0.958 0.000 1.000 0.000
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 1 0.0000 0.984 1.000 0.000 0.000
#> A3343F40-F977-4F9B-856A-28781F10F4CD 2 0.0000 0.958 0.000 1.000 0.000
#> DA144299-5541-47D7-A59E-C92896DF08FC 1 0.0000 0.984 1.000 0.000 0.000
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 2 0.0000 0.958 0.000 1.000 0.000
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.0000 0.984 1.000 0.000 0.000
#> 617447CF-9327-4062-B22C-71A8944C948F 2 0.0000 0.958 0.000 1.000 0.000
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0000 0.984 1.000 0.000 0.000
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 2 0.0000 0.958 0.000 1.000 0.000
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.0000 0.984 1.000 0.000 0.000
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.0000 0.958 0.000 1.000 0.000
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.0000 0.984 1.000 0.000 0.000
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 3 0.0000 0.960 0.000 0.000 1.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 2 0.0000 0.958 0.000 1.000 0.000
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 2 0.3686 0.825 0.000 0.860 0.140
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.0000 0.984 1.000 0.000 0.000
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 1 0.5291 0.579 0.732 0.268 0.000
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.0000 0.958 0.000 1.000 0.000
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 1 0.0000 0.984 1.000 0.000 0.000
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.0000 0.984 1.000 0.000 0.000
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 2 0.0000 0.958 0.000 1.000 0.000
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 2 0.0000 0.958 0.000 1.000 0.000
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 1 0.0000 0.984 1.000 0.000 0.000
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 1 0.0000 0.984 1.000 0.000 0.000
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.0000 0.984 1.000 0.000 0.000
#> DA1301D3-1F84-46C5-AB44-079493A81A51 1 0.0000 0.984 1.000 0.000 0.000
#> A12B1681-B598-40C3-80FE-1801F3F1189D 1 0.0000 0.984 1.000 0.000 0.000
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 2 0.0000 0.958 0.000 1.000 0.000
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 2 0.0000 0.958 0.000 1.000 0.000
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.0000 0.958 0.000 1.000 0.000
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.0000 0.958 0.000 1.000 0.000
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 1 0.0000 0.984 1.000 0.000 0.000
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.0000 0.958 0.000 1.000 0.000
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.0000 0.958 0.000 1.000 0.000
#> 1D0379B1-0E99-4E6D-B890-907C92860654 2 0.0000 0.958 0.000 1.000 0.000
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.0000 0.958 0.000 1.000 0.000
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 2 0.0000 0.958 0.000 1.000 0.000
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 2 0.0000 0.958 0.000 1.000 0.000
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0000 0.984 1.000 0.000 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.0000 0.958 0.000 1.000 0.000
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.0000 0.984 1.000 0.000 0.000
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.0000 0.958 0.000 1.000 0.000
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0000 0.984 1.000 0.000 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.0000 0.958 0.000 1.000 0.000
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 1 0.0000 0.984 1.000 0.000 0.000
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.0000 0.958 0.000 1.000 0.000
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.0000 0.984 1.000 0.000 0.000
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.0000 0.958 0.000 1.000 0.000
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.984 1.000 0.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.984 1.000 0.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.0000 0.958 0.000 1.000 0.000
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.0000 0.984 1.000 0.000 0.000
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.0000 0.958 0.000 1.000 0.000
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.960 0.000 0.000 1.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 2 0.0000 0.958 0.000 1.000 0.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 2 0.4605 0.739 0.000 0.796 0.204
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 2 0.4452 0.725 0.192 0.808 0.000
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.0000 0.958 0.000 1.000 0.000
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.0000 0.958 0.000 1.000 0.000
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.0000 0.958 0.000 1.000 0.000
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.0000 0.958 0.000 1.000 0.000
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.984 1.000 0.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.984 1.000 0.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.0000 0.984 1.000 0.000 0.000
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0000 0.984 1.000 0.000 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.0000 0.958 0.000 1.000 0.000
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.0000 0.958 0.000 1.000 0.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0000 0.984 1.000 0.000 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.0000 0.958 0.000 1.000 0.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.0000 0.984 1.000 0.000 0.000
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.0000 0.984 1.000 0.000 0.000
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.960 0.000 0.000 1.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.0000 0.984 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.81230 1.000 0.000 0.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.1767 0.86231 0.000 0.012 0.944 0.044
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.4713 0.65008 0.640 0.000 0.000 0.360
#> 85252141-5469-4F68-8F3F-934F8B3277E5 4 0.5568 0.57567 0.152 0.120 0.000 0.728
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.4985 0.52956 0.532 0.000 0.000 0.468
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.2011 0.80607 0.920 0.000 0.000 0.080
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 2 0.4998 0.37132 0.000 0.512 0.000 0.488
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 2 0.4103 0.70860 0.000 0.744 0.000 0.256
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.4972 0.54724 0.544 0.000 0.000 0.456
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 4 0.5499 0.50148 0.216 0.072 0.000 0.712
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.4989 0.41326 0.528 0.000 0.000 0.472
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 2 0.4188 0.75797 0.000 0.824 0.064 0.112
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0188 0.81248 0.996 0.000 0.000 0.004
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 2 0.2081 0.81150 0.000 0.916 0.000 0.084
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 2 0.4994 0.39238 0.000 0.520 0.000 0.480
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.1474 0.82292 0.000 0.948 0.000 0.052
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.2760 0.78271 0.872 0.000 0.000 0.128
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.81230 1.000 0.000 0.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 1 0.4967 0.55305 0.548 0.000 0.000 0.452
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0707 0.81358 0.980 0.000 0.000 0.020
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 4 0.3706 0.53215 0.112 0.040 0.000 0.848
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.0469 0.81867 0.000 0.988 0.000 0.012
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 2 0.4713 0.56053 0.000 0.640 0.000 0.360
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0000 0.81230 1.000 0.000 0.000 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 4 0.4761 0.31286 0.004 0.332 0.000 0.664
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 1 0.4804 0.63360 0.616 0.000 0.000 0.384
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.3356 0.76538 0.000 0.824 0.000 0.176
#> 375FE390-434B-41D3-9029-84065B1D7B6F 2 0.4933 0.50812 0.000 0.568 0.000 0.432
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 0.81230 1.000 0.000 0.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.0188 0.82065 0.000 0.996 0.000 0.004
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.2589 0.82307 0.000 0.884 0.000 0.116
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.2281 0.80763 0.000 0.904 0.000 0.096
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.2149 0.81199 0.000 0.912 0.000 0.088
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.2469 0.79851 0.892 0.000 0.000 0.108
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 2 0.2216 0.80868 0.000 0.908 0.000 0.092
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 2 0.4925 0.50634 0.000 0.572 0.000 0.428
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 1 0.3801 0.76007 0.780 0.000 0.000 0.220
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0000 0.88879 0.000 0.000 1.000 0.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.0817 0.81392 0.976 0.000 0.000 0.024
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.1557 0.86114 0.000 0.056 0.944 0.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 2 0.3649 0.74566 0.000 0.796 0.000 0.204
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.6525 0.54012 0.000 0.272 0.612 0.116
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.0000 0.88879 0.000 0.000 1.000 0.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 1 0.4746 0.64701 0.632 0.000 0.000 0.368
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 4 0.4638 0.53453 0.152 0.060 0.000 0.788
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.2530 0.79999 0.888 0.000 0.000 0.112
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 2 0.4072 0.71667 0.000 0.748 0.000 0.252
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 1 0.4643 0.65734 0.656 0.000 0.000 0.344
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.0000 0.81230 1.000 0.000 0.000 0.000
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 2 0.4981 0.44623 0.000 0.536 0.000 0.464
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#> E2DF7E97-6BE1-412C-B71D-151B87739653 2 0.4776 0.60768 0.000 0.624 0.000 0.376
#> 022BCEE2-4794-4D5D-87E5-22CD25FDBA98 2 0.0817 0.82151 0.000 0.976 0.000 0.024
#> 2AF33CEA-C327-4A31-84D8-C4F26E8A3ECF 4 0.4012 0.59322 0.016 0.184 0.000 0.800
#> E877B9C0-11C5-4CC8-BAE1-AC210535F3DB 4 0.4839 0.61558 0.052 0.184 0.000 0.764
#> 0E737E9F-1045-4B86-A290-ED927D5DE7BF 2 0.0921 0.82398 0.000 0.972 0.000 0.028
#> D1B88E26-3B64-4E1A-8E50-22AD100BD9F9 2 0.3400 0.77977 0.000 0.820 0.000 0.180
#> 3AEB8943-FE34-4014-B851-BBF83857A794 2 0.4164 0.73311 0.000 0.736 0.000 0.264
#> BECD727E-E3C1-4C42-9047-D97B7444B20B 2 0.3444 0.77665 0.000 0.816 0.000 0.184
#> AF866E63-9EA1-4669-B9C4-FC7E877334AE 2 0.0469 0.81867 0.000 0.988 0.000 0.012
#> F9C8E54A-4CE4-4839-B0CA-58678461EEF1 2 0.0000 0.82153 0.000 1.000 0.000 0.000
#> AE818BC4-05BF-4E85-A4AD-F3E43DD7D37A 2 0.0000 0.82153 0.000 1.000 0.000 0.000
#> BA73A860-CADE-408D-8D27-14EADA2B53B0 4 0.4012 0.59322 0.016 0.184 0.000 0.800
#> 688858C8-48CA-43E9-AE2C-B9D4F80B5EE9 2 0.2011 0.82138 0.000 0.920 0.000 0.080
#> EB1D52B2-17B3-491E-B484-1235633D6925 2 0.3486 0.80096 0.000 0.812 0.000 0.188
#> AE261B5D-3881-40B9-8EE7-26B950E0BE16 1 0.2973 0.78150 0.856 0.000 0.000 0.144
#> 8C9851D5-3091-4DE0-A59E-9122C0CA1CD2 2 0.3569 0.75580 0.000 0.804 0.000 0.196
#> C8180F95-4E9C-45DB-B959-B47F64167C2D 2 0.4967 0.46394 0.000 0.548 0.000 0.452
#> 552D3B42-8D22-4B64-B3A2-B3E5D51A8524 2 0.1474 0.82292 0.000 0.948 0.000 0.052
#> FED9F364-BC3F-4134-BF4B-4D24B0EB8315 1 0.4790 0.63782 0.620 0.000 0.000 0.380
#> 7B0D7792-C803-4DD0-B9BF-CB83DA2D199A 1 0.0000 0.81230 1.000 0.000 0.000 0.000
#> B4F82CBB-A47C-44C3-81AC-CF775FF06FCD 1 0.2530 0.78981 0.888 0.000 0.000 0.112
#> BFAB10CF-5B24-40F7-92E7-C2E60DD779EF 1 0.4985 0.52956 0.532 0.000 0.000 0.468
#> E4E259E1-48B2-4C76-B113-E46270742F53 2 0.2281 0.80763 0.000 0.904 0.000 0.096
#> 81FCBC31-367A-4B1C-A832-B133E4A43738 4 0.4304 0.43178 0.000 0.284 0.000 0.716
#> 8690FA0F-9C1C-4D97-813A-3FB56827FBFC 2 0.4008 0.76196 0.000 0.756 0.000 0.244
#> 9810CF0C-99D1-445B-B1F9-C956D2438495 2 0.6508 0.33293 0.000 0.568 0.344 0.088
#> 2F5073E1-9EDD-46B5-95E3-8314E2A5B620 1 0.4804 0.63360 0.616 0.000 0.000 0.384
#> B454F9FB-439A-43B5-877D-752D0F138AB5 2 0.1716 0.81834 0.000 0.936 0.000 0.064
#> 287F2B71-92F8-4D14-8249-C1BFBB254BE7 1 0.0921 0.81338 0.972 0.000 0.000 0.028
#> 52DC920F-0AD5-47CE-BD81-31843876B71E 1 0.0000 0.81230 1.000 0.000 0.000 0.000
#> 6BAC4B1B-C3FC-4A09-9821-232E510E6A47 1 0.3123 0.77730 0.844 0.000 0.000 0.156
#> A2B87EED-0D8E-4B20-85D3-FD9CC5E2E806 1 0.0000 0.81230 1.000 0.000 0.000 0.000
#> 43E6DB93-2DA6-4F0F-BF81-0C3869134D2B 1 0.0000 0.81230 1.000 0.000 0.000 0.000
#> 09A2ED74-A7C7-4DBB-8EDD-C80D0F0AEFDF 1 0.4103 0.72687 0.744 0.000 0.000 0.256
#> 35EDCB52-D4B5-4305-8A74-95EFE6F2BFB1 1 0.4804 0.63486 0.616 0.000 0.000 0.384
#> D5D18AF8-9CC2-496C-A83A-31BBA0195CFD 4 0.3726 0.36848 0.212 0.000 0.000 0.788
#> 03767EDF-2F8A-41DE-8D80-F4BE861225A3 4 0.4989 -0.40577 0.472 0.000 0.000 0.528
#> 586BC656-AD9C-44EF-9ED4-87DEEB5C8AA6 1 0.0188 0.81248 0.996 0.000 0.000 0.004
#> 23CA1146-CB1B-4054-A4FF-200B87444BF9 1 0.0000 0.81230 1.000 0.000 0.000 0.000
#> 910E9B6D-E7D5-4C83-A19C-1EEA6E135639 4 0.4949 0.61863 0.060 0.180 0.000 0.760
#> F36353A3-6CE6-4347-A78B-0AAD8FAB14AD 1 0.0000 0.81230 1.000 0.000 0.000 0.000
#> 2045736E-7D0F-4B17-B74B-3B12AEE3E68C 1 0.0000 0.81230 1.000 0.000 0.000 0.000
#> 5EFA2C2D-30B3-4D66-9601-354711F9FC56 3 0.2385 0.86041 0.000 0.052 0.920 0.028
#> 3FBD381D-84C8-4680-980B-CC4B7924BE06 2 0.1389 0.82354 0.000 0.952 0.000 0.048
#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 4 0.4996 -0.29674 0.000 0.484 0.000 0.516
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 1 0.4643 0.67328 0.656 0.000 0.000 0.344
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 2 0.2216 0.81940 0.000 0.908 0.000 0.092
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 2 0.1302 0.82714 0.000 0.956 0.000 0.044
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 1 0.4817 0.63071 0.612 0.000 0.000 0.388
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 2 0.2281 0.80763 0.000 0.904 0.000 0.096
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 2 0.4730 0.55400 0.000 0.636 0.000 0.364
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 1 0.4776 0.60145 0.624 0.000 0.000 0.376
#> A3343F40-F977-4F9B-856A-28781F10F4CD 2 0.1867 0.82825 0.000 0.928 0.000 0.072
#> DA144299-5541-47D7-A59E-C92896DF08FC 1 0.4925 0.51127 0.572 0.000 0.000 0.428
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 2 0.0707 0.81692 0.000 0.980 0.000 0.020
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.0000 0.81230 1.000 0.000 0.000 0.000
#> 617447CF-9327-4062-B22C-71A8944C948F 2 0.2216 0.82176 0.000 0.908 0.000 0.092
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0000 0.81230 1.000 0.000 0.000 0.000
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 2 0.1211 0.82420 0.000 0.960 0.000 0.040
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.2647 0.78944 0.880 0.000 0.000 0.120
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.1302 0.82480 0.000 0.956 0.000 0.044
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.0000 0.81230 1.000 0.000 0.000 0.000
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 3 0.0000 0.88879 0.000 0.000 1.000 0.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 2 0.0707 0.82448 0.000 0.980 0.000 0.020
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 2 0.2480 0.80722 0.000 0.904 0.008 0.088
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.4661 0.64335 0.652 0.000 0.000 0.348
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 4 0.6396 -0.30275 0.468 0.064 0.000 0.468
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.1118 0.82438 0.000 0.964 0.000 0.036
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 1 0.1211 0.81241 0.960 0.000 0.000 0.040
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.0000 0.81230 1.000 0.000 0.000 0.000
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 2 0.2081 0.81150 0.000 0.916 0.000 0.084
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 2 0.0336 0.82178 0.000 0.992 0.000 0.008
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 1 0.4697 0.63795 0.644 0.000 0.000 0.356
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 1 0.5000 0.46858 0.504 0.000 0.000 0.496
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.0000 0.81230 1.000 0.000 0.000 0.000
#> DA1301D3-1F84-46C5-AB44-079493A81A51 1 0.4981 0.53561 0.536 0.000 0.000 0.464
#> A12B1681-B598-40C3-80FE-1801F3F1189D 1 0.3486 0.75885 0.812 0.000 0.000 0.188
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 2 0.4972 0.47565 0.000 0.544 0.000 0.456
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 4 0.4454 0.38929 0.000 0.308 0.000 0.692
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.0469 0.82082 0.000 0.988 0.000 0.012
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.4193 0.69805 0.000 0.732 0.000 0.268
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 1 0.4776 0.64190 0.624 0.000 0.000 0.376
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.2011 0.81581 0.000 0.920 0.000 0.080
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.0921 0.82037 0.000 0.972 0.000 0.028
#> 1D0379B1-0E99-4E6D-B890-907C92860654 4 0.4998 -0.30707 0.000 0.488 0.000 0.512
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.2149 0.82949 0.000 0.912 0.000 0.088
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 2 0.4830 0.53929 0.000 0.608 0.000 0.392
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 2 0.1716 0.82428 0.000 0.936 0.000 0.064
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0000 0.81230 1.000 0.000 0.000 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.2149 0.82181 0.000 0.912 0.000 0.088
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.4477 0.69089 0.688 0.000 0.000 0.312
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.1792 0.81743 0.000 0.932 0.000 0.068
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0000 0.81230 1.000 0.000 0.000 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.1557 0.82323 0.000 0.944 0.000 0.056
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 1 0.4804 0.63486 0.616 0.000 0.000 0.384
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.1211 0.82420 0.000 0.960 0.000 0.040
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.2469 0.79674 0.892 0.000 0.000 0.108
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.2216 0.82229 0.000 0.908 0.000 0.092
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0188 0.81248 0.996 0.000 0.000 0.004
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0921 0.81087 0.972 0.000 0.000 0.028
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.3801 0.73969 0.000 0.780 0.000 0.220
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.4948 0.49187 0.560 0.000 0.000 0.440
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.2647 0.81067 0.000 0.880 0.000 0.120
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.88879 0.000 0.000 1.000 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 2 0.0921 0.82037 0.000 0.972 0.000 0.028
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 2 0.4236 0.74435 0.000 0.824 0.088 0.088
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 4 0.4121 0.59626 0.020 0.184 0.000 0.796
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.2011 0.81312 0.000 0.920 0.000 0.080
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.2081 0.82164 0.000 0.916 0.000 0.084
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.3356 0.75727 0.000 0.824 0.000 0.176
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.3024 0.79875 0.000 0.852 0.000 0.148
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.81230 1.000 0.000 0.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.81230 1.000 0.000 0.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.3726 0.75515 0.788 0.000 0.000 0.212
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.1557 0.80423 0.944 0.000 0.000 0.056
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.0592 0.82245 0.000 0.984 0.000 0.016
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.0592 0.82499 0.000 0.984 0.000 0.016
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0707 0.81398 0.980 0.000 0.000 0.020
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.0592 0.81973 0.000 0.984 0.000 0.016
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.1389 0.81096 0.952 0.000 0.000 0.048
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.4564 0.68269 0.672 0.000 0.000 0.328
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.1022 0.88039 0.000 0.000 0.968 0.032
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.2530 0.79234 0.888 0.000 0.000 0.112
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.9176 1.000 0.000 0.000 0.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.1205 0.8788 0.000 0.004 0.956 0.040 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 5 0.2329 0.8027 0.124 0.000 0.000 0.000 0.876
#> 85252141-5469-4F68-8F3F-934F8B3277E5 5 0.4061 0.3835 0.004 0.016 0.000 0.240 0.740
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 5 0.1410 0.7859 0.060 0.000 0.000 0.000 0.940
#> 1B76089D-785F-4353-A898-4E632023D482 5 0.4249 0.4386 0.432 0.000 0.000 0.000 0.568
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 4 0.4678 0.5433 0.000 0.224 0.000 0.712 0.064
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 2 0.3612 0.7237 0.000 0.732 0.000 0.268 0.000
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 5 0.1478 0.7877 0.064 0.000 0.000 0.000 0.936
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 5 0.5884 -0.0729 0.100 0.000 0.000 0.420 0.480
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 5 0.2723 0.7847 0.124 0.000 0.000 0.012 0.864
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 2 0.4017 0.6519 0.000 0.736 0.012 0.248 0.004
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0703 0.9074 0.976 0.000 0.000 0.000 0.024
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 2 0.1671 0.8563 0.000 0.924 0.000 0.076 0.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 4 0.4830 0.5087 0.000 0.256 0.000 0.684 0.060
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.1270 0.8594 0.000 0.948 0.000 0.052 0.000
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 5 0.4302 0.3124 0.480 0.000 0.000 0.000 0.520
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0510 0.9124 0.984 0.000 0.000 0.000 0.016
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 5 0.1544 0.7907 0.068 0.000 0.000 0.000 0.932
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.1478 0.8822 0.936 0.000 0.000 0.000 0.064
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 5 0.2339 0.6233 0.004 0.004 0.000 0.100 0.892
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.0510 0.8670 0.000 0.984 0.000 0.016 0.000
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 2 0.3661 0.7076 0.000 0.724 0.000 0.276 0.000
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0404 0.9138 0.988 0.000 0.000 0.000 0.012
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 4 0.6667 0.5593 0.004 0.248 0.000 0.480 0.268
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 5 0.2074 0.8021 0.104 0.000 0.000 0.000 0.896
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.2338 0.8607 0.000 0.884 0.000 0.112 0.004
#> 375FE390-434B-41D3-9029-84065B1D7B6F 2 0.4642 0.6414 0.000 0.660 0.000 0.308 0.032
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 0.9176 1.000 0.000 0.000 0.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.0963 0.8587 0.000 0.964 0.000 0.036 0.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.1671 0.8668 0.000 0.924 0.000 0.076 0.000
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.1851 0.8563 0.000 0.912 0.000 0.088 0.000
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.1410 0.8673 0.000 0.940 0.000 0.060 0.000
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 5 0.4249 0.4227 0.432 0.000 0.000 0.000 0.568
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#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.0609 0.8678 0.000 0.980 0.000 0.020 0.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.3274 0.6753 0.780 0.000 0.000 0.000 0.220
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 5 0.2648 0.7998 0.152 0.000 0.000 0.000 0.848
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.2813 0.8433 0.000 0.000 0.832 0.168 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 5 0.4166 0.6250 0.348 0.000 0.000 0.004 0.648
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.90594 1.000 0.000 0.000 0.000 0.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.1663 0.82418 0.000 0.000 0.912 0.000 0.000 0.088
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 5 0.2867 0.78600 0.040 0.000 0.000 0.000 0.848 0.112
#> 85252141-5469-4F68-8F3F-934F8B3277E5 4 0.4264 0.07669 0.000 0.000 0.000 0.496 0.488 0.016
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 5 0.1633 0.80482 0.044 0.000 0.000 0.000 0.932 0.024
#> 1B76089D-785F-4353-A898-4E632023D482 5 0.3541 0.69768 0.260 0.000 0.000 0.000 0.728 0.012
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 4 0.1594 0.55404 0.000 0.052 0.000 0.932 0.016 0.000
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 2 0.3428 0.64456 0.000 0.696 0.000 0.304 0.000 0.000
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 5 0.1633 0.80482 0.044 0.000 0.000 0.000 0.932 0.024
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 5 0.6571 -0.03141 0.056 0.000 0.000 0.392 0.404 0.148
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 5 0.3813 0.76702 0.048 0.000 0.000 0.028 0.800 0.124
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 6 0.3915 0.39725 0.000 0.288 0.000 0.016 0.004 0.692
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0146 0.90516 0.996 0.000 0.000 0.000 0.004 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 2 0.3940 0.53762 0.000 0.640 0.000 0.012 0.000 0.348
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 4 0.2669 0.51122 0.000 0.156 0.000 0.836 0.008 0.000
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.1116 0.78855 0.000 0.960 0.000 0.008 0.004 0.028
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.5304 0.20408 0.556 0.000 0.000 0.004 0.336 0.104
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0146 0.90516 0.996 0.000 0.000 0.000 0.004 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 5 0.1480 0.80470 0.040 0.000 0.000 0.000 0.940 0.020
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.1863 0.82954 0.896 0.000 0.000 0.000 0.104 0.000
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 5 0.2877 0.61981 0.000 0.000 0.000 0.168 0.820 0.012
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.1584 0.78457 0.000 0.928 0.000 0.008 0.000 0.064
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 2 0.3515 0.62533 0.000 0.676 0.000 0.324 0.000 0.000
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0146 0.90516 0.996 0.000 0.000 0.000 0.004 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 4 0.5968 0.37214 0.000 0.244 0.000 0.508 0.240 0.008
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 5 0.0937 0.80644 0.040 0.000 0.000 0.000 0.960 0.000
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.1320 0.79595 0.000 0.948 0.000 0.036 0.000 0.016
#> 375FE390-434B-41D3-9029-84065B1D7B6F 2 0.4263 0.56215 0.000 0.600 0.000 0.376 0.000 0.024
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 0.90594 1.000 0.000 0.000 0.000 0.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.0891 0.78841 0.000 0.968 0.000 0.008 0.000 0.024
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.3072 0.78451 0.000 0.840 0.000 0.076 0.000 0.084
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.4134 0.54809 0.000 0.640 0.000 0.016 0.004 0.340
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.1918 0.78020 0.000 0.904 0.000 0.000 0.008 0.088
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 5 0.4034 0.58402 0.336 0.000 0.000 0.004 0.648 0.012
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 2 0.4039 0.53443 0.000 0.632 0.000 0.016 0.000 0.352
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 4 0.3866 -0.31139 0.000 0.484 0.000 0.516 0.000 0.000
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 5 0.2631 0.78026 0.152 0.000 0.000 0.000 0.840 0.008
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0000 0.94509 0.000 0.000 1.000 0.000 0.000 0.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.3494 0.60906 0.736 0.000 0.000 0.000 0.252 0.012
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.2631 0.73994 0.000 0.008 0.840 0.000 0.000 0.152
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 2 0.1296 0.79253 0.000 0.952 0.000 0.032 0.004 0.012
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 6 0.5597 0.41091 0.000 0.008 0.392 0.044 0.036 0.520
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.0000 0.94509 0.000 0.000 1.000 0.000 0.000 0.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 5 0.2272 0.80303 0.040 0.000 0.000 0.004 0.900 0.056
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 5 0.5521 0.14712 0.004 0.000 0.000 0.328 0.536 0.132
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 5 0.3993 0.16387 0.476 0.000 0.000 0.000 0.520 0.004
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 2 0.3330 0.66123 0.000 0.716 0.000 0.284 0.000 0.000
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 5 0.2981 0.78816 0.040 0.000 0.000 0.008 0.852 0.100
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.0260 0.90417 0.992 0.000 0.000 0.000 0.008 0.000
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 2 0.4533 0.53424 0.000 0.588 0.000 0.376 0.032 0.004
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.1296 0.79243 0.000 0.952 0.000 0.032 0.004 0.012
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 4 0.4736 0.60494 0.000 0.000 0.000 0.680 0.164 0.156
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.0000 0.94509 0.000 0.000 1.000 0.000 0.000 0.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.0405 0.90261 0.988 0.000 0.000 0.000 0.004 0.008
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 2 0.4491 0.60095 0.000 0.676 0.000 0.016 0.036 0.272
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 2 0.3163 0.70289 0.000 0.764 0.000 0.232 0.000 0.004
#> 208165C0-229B-49E2-A22A-575CA3157C9E 2 0.3701 0.74591 0.000 0.784 0.000 0.168 0.036 0.012
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 5 0.6202 0.38069 0.044 0.000 0.000 0.284 0.528 0.144
#> 01397021-8495-4D89-885A-166B4DBA0122 3 0.0000 0.94509 0.000 0.000 1.000 0.000 0.000 0.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 6 0.5415 0.34359 0.000 0.000 0.436 0.044 0.036 0.484
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.0000 0.90594 1.000 0.000 0.000 0.000 0.000 0.000
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 2 0.3309 0.71930 0.000 0.788 0.000 0.192 0.004 0.016
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 2 0.4289 0.64821 0.000 0.712 0.000 0.016 0.036 0.236
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 2 0.3592 0.53823 0.000 0.656 0.000 0.000 0.000 0.344
#> AA569A06-0F37-4492-93F3-60A4539A3E82 2 0.3110 0.72158 0.000 0.792 0.000 0.196 0.000 0.012
#> BC53FB75-94CA-48C3-875B-5987037D186F 2 0.2135 0.75753 0.000 0.872 0.000 0.000 0.000 0.128
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 5 0.4177 0.25311 0.468 0.000 0.000 0.000 0.520 0.012
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 2 0.4531 0.59036 0.000 0.668 0.000 0.016 0.036 0.280
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 2 0.3464 0.63863 0.000 0.688 0.000 0.312 0.000 0.000
#> DF67F589-A607-4B95-96B8-4BB344132312 2 0.3515 0.56815 0.000 0.676 0.000 0.000 0.000 0.324
#> A65233E6-C146-4ACF-8DDE-5FB12D8D9637 3 0.0000 0.94509 0.000 0.000 1.000 0.000 0.000 0.000
#> 7578C9A3-FFF8-45C4-AC28-1C6141A9A2AD 1 0.0000 0.90594 1.000 0.000 0.000 0.000 0.000 0.000
#> 4DF775B9-E2FE-4F5E-8329-C37E21C5D10E 5 0.2772 0.79474 0.040 0.000 0.000 0.004 0.864 0.092
#> 5E6B86C6-3D79-47BB-9FAF-CA22659CFEA7 5 0.4894 0.68530 0.212 0.000 0.000 0.012 0.676 0.100
#> 53286128-668B-47EA-9A5F-D768FDCCBE88 5 0.3076 0.71782 0.240 0.000 0.000 0.000 0.760 0.000
#> 01C9F351-97FE-4037-A879-9D96A3DD3FBB 2 0.3938 0.57818 0.000 0.660 0.000 0.016 0.000 0.324
#> 5487DB21-6A58-46AC-A2A1-E343082D41D8 5 0.3078 0.75810 0.192 0.000 0.000 0.000 0.796 0.012
#> 0FB3E997-4E31-4FA6-9654-11C3C0AF8D86 2 0.1036 0.78906 0.000 0.964 0.000 0.008 0.004 0.024
#> A0706E80-FDF9-4721-BEB4-90527F6D38C4 2 0.1148 0.78938 0.000 0.960 0.000 0.016 0.004 0.020
#> 5260226E-1826-4F54-8237-28993DD2EF04 3 0.1141 0.89268 0.000 0.000 0.948 0.000 0.000 0.052
#> F53F71A7-A399-49AB-8657-019C5C56F48C 2 0.6190 0.56288 0.000 0.532 0.000 0.204 0.032 0.232
#> 008159F2-5247-479A-8BFE-C394888D0B74 2 0.3516 0.69857 0.000 0.760 0.000 0.220 0.004 0.016
#> 9E6BA6FB-35F2-4510-94AE-3E7CDFED3D47 3 0.0000 0.94509 0.000 0.000 1.000 0.000 0.000 0.000
#> F12BE7AC-D2DD-4AD1-AB37-32DC85954F59 4 0.4736 0.60494 0.000 0.000 0.000 0.680 0.164 0.156
#> 38A6BA1F-B444-4155-A168-EC2DF0EE0785 5 0.3801 0.76738 0.148 0.000 0.000 0.008 0.784 0.060
#> B107D1DE-EE52-4E89-B75A-91124BFF99AE 6 0.5230 0.36969 0.000 0.008 0.432 0.044 0.012 0.504
#> D4D16D09-8895-4BEA-ABF7-F11C5D5BDCAA 5 0.1633 0.80482 0.044 0.000 0.000 0.000 0.932 0.024
#> 9A53C473-1364-4BB6-AD36-EF53E0208450 1 0.2320 0.79492 0.864 0.000 0.000 0.000 0.132 0.004
#> F00C0ED6-C811-4F32-BDB4-4ACA7861DC7D 2 0.1148 0.78938 0.000 0.960 0.000 0.016 0.004 0.020
#> 72618985-CD49-4B6F-8CB0-5EE590FAD09A 2 0.3758 0.62893 0.000 0.668 0.000 0.324 0.000 0.008
#> 978A315F-CCE9-4D03-A680-C0AD60B10557 2 0.1194 0.78843 0.000 0.956 0.000 0.008 0.004 0.032
#> B6EACAED-3944-4510-B685-0BB8D1651D4F 5 0.2867 0.78693 0.040 0.000 0.000 0.000 0.848 0.112
#> EBCF16B4-A804-45EB-8253-0F28A2645729 5 0.2144 0.80402 0.040 0.000 0.000 0.004 0.908 0.048
#> 637DC441-4A75-4DA8-8F65-91FDB5F103C7 5 0.1078 0.78727 0.016 0.000 0.000 0.008 0.964 0.012
#> 89F67654-A246-4307-9B17-4A1C01DB1AED 2 0.1148 0.78938 0.000 0.960 0.000 0.016 0.004 0.020
#> 3A8EB57B-71ED-4169-A8EB-624C67CDBBE1 2 0.1124 0.78777 0.000 0.956 0.000 0.008 0.000 0.036
#> CC4DA9C6-CAB2-44FF-8219-D293ECD07DD4 5 0.1564 0.80399 0.040 0.000 0.000 0.000 0.936 0.024
#> AEC4FDAA-8F60-43CE-8EBB-5629FA662F16 2 0.1464 0.79199 0.000 0.944 0.000 0.036 0.004 0.016
#> BFC0D795-64F4-48B3-AD08-8C564E5E5367 1 0.3756 0.39583 0.644 0.000 0.000 0.000 0.352 0.004
#> 907BBBA4-4E7B-4808-892E-F80525C3CFA3 4 0.4044 0.49844 0.000 0.012 0.000 0.668 0.312 0.008
#> 7F21FA19-1468-4A65-A10A-A9727218A5EF 1 0.0260 0.90390 0.992 0.000 0.000 0.000 0.008 0.000
#> 905A026A-0B13-4AD3-B2BB-9A5AE76920AF 4 0.2996 0.44940 0.000 0.228 0.000 0.772 0.000 0.000
#> 6DDFC760-7BED-4A68-8DDA-9453D0FC9C1D 1 0.0000 0.90594 1.000 0.000 0.000 0.000 0.000 0.000
#> B3AFF323-BAAD-4512-A837-20C430EA39D1 5 0.0717 0.79159 0.016 0.000 0.000 0.000 0.976 0.008
#> 193E9034-42A2-4701-AA3E-2E852CA5C043 1 0.0000 0.90594 1.000 0.000 0.000 0.000 0.000 0.000
#> 8B6127D5-D3BB-4E17-914C-3ED1E2A52078 2 0.0951 0.79053 0.000 0.968 0.000 0.008 0.004 0.020
#> BD6E5E3C-DC43-4A85-84DF-84C68ABB851A 2 0.3607 0.60047 0.000 0.652 0.000 0.348 0.000 0.000
#> 881EACBD-B314-4A9E-A6DE-58DF9466AFB3 4 0.3789 -0.11791 0.000 0.416 0.000 0.584 0.000 0.000
#> 195A6DF6-437D-4964-8872-C44F13E2CA4C 2 0.1950 0.79465 0.000 0.924 0.000 0.032 0.028 0.016
#> C40FD0B3-4773-490D-A342-B1CE8CC0A5BD 1 0.3202 0.70924 0.800 0.000 0.000 0.000 0.176 0.024
#> 613454BF-1A66-4DBB-90D0-246FC212DA4A 5 0.1564 0.80706 0.040 0.000 0.000 0.000 0.936 0.024
#> 5F121320-0F61-4BC0-BB69-F5C9A93BC118 1 0.0000 0.90594 1.000 0.000 0.000 0.000 0.000 0.000
#> E5637874-962B-4C43-8339-A6625D754DA8 4 0.3733 0.61535 0.000 0.016 0.000 0.796 0.140 0.048
#> 7614BF19-E3A2-492A-ABC0-557B274CA326 1 0.2302 0.80240 0.872 0.000 0.000 0.000 0.120 0.008
#> 6EB070B1-45C3-46DB-BFF9-6D9A137EC3A8 4 0.2633 0.55010 0.000 0.104 0.000 0.864 0.032 0.000
#> 873EEA1A-8AA1-4C83-B001-7BD64343ADE1 1 0.0603 0.89918 0.980 0.000 0.000 0.000 0.016 0.004
#> 2DCF0812-AC29-4BC2-8929-4D3D7B0F6335 2 0.2669 0.77322 0.000 0.864 0.000 0.108 0.004 0.024
#> 9391B623-4EC1-43A2-85EC-7B80BE87827D 5 0.1152 0.80698 0.044 0.000 0.000 0.000 0.952 0.004
#> 32A000F1-BAEA-41D2-AC75-02255A5BF2F2 2 0.0909 0.79355 0.000 0.968 0.000 0.020 0.000 0.012
#> 9C1016CE-3EAB-4FA7-806B-C8F6B08B4EA1 4 0.4765 0.60298 0.000 0.000 0.000 0.676 0.172 0.152
#> C7C4E75E-887F-4D11-9FDC-32292895A6B3 2 0.4738 0.54901 0.000 0.596 0.000 0.356 0.036 0.012
#> 54739A62-512F-499F-AFE1-B7C631B35272 1 0.3864 0.00783 0.520 0.000 0.000 0.000 0.480 0.000
#> 4476DF0E-6BB4-4682-BF59-E61071D4184E 5 0.1549 0.80859 0.044 0.000 0.000 0.000 0.936 0.020
#> DCCC6566-8A72-411D-B8F0-CC92B6D973AF 2 0.1408 0.79322 0.000 0.944 0.000 0.020 0.000 0.036
#> 781AEC2C-2604-4DAA-A55C-D07A305AF32E 5 0.1562 0.75707 0.004 0.000 0.000 0.024 0.940 0.032
#> CB6BBA89-F467-4E0E-9DD1-04631E23D18C 5 0.1564 0.80399 0.040 0.000 0.000 0.000 0.936 0.024
#> 42E0E49F-0F6A-4787-87E8-E5CEA94822F9 2 0.4086 0.70178 0.000 0.756 0.000 0.024 0.036 0.184
#> B6466D8A-6CD3-4C90-B1FC-72EBDD93AE47 4 0.2389 0.52813 0.000 0.128 0.000 0.864 0.008 0.000
#> EEBC342F-80C7-428B-A69C-35962A8A0251 2 0.0993 0.79477 0.000 0.964 0.000 0.012 0.000 0.024
#> 38CB2DA4-D03B-4AAD-820E-B3475C52A945 2 0.1082 0.79552 0.000 0.956 0.000 0.040 0.000 0.004
#> E924E4B6-F88B-4F6B-B381-24D125C05D4F 3 0.0000 0.94509 0.000 0.000 1.000 0.000 0.000 0.000
#> C207F0D6-55B8-4353-8A7D-F1BA623BED96 5 0.1480 0.80470 0.040 0.000 0.000 0.000 0.940 0.020
#> 980CBBAE-2C02-4150-8BDB-B67713B6425C 6 0.5417 0.33894 0.000 0.000 0.440 0.044 0.036 0.480
#> 2E2A42A8-50A7-4409-8504-949A2B8A46A6 5 0.1908 0.80113 0.096 0.000 0.000 0.000 0.900 0.004
#> 65B6391B-3178-4AB3-9AA8-2FFAC5491988 2 0.1116 0.78789 0.000 0.960 0.000 0.008 0.004 0.028
#> 78EEB2C7-4B64-4CB0-9C94-E2AC46A75237 5 0.5521 0.14712 0.004 0.000 0.000 0.328 0.536 0.132
#> 4F05A349-3B06-425C-A8CC-63C1B23A3D65 1 0.0000 0.90594 1.000 0.000 0.000 0.000 0.000 0.000
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#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 5 0.4477 0.74231 0.124 0.000 0.000 0.016 0.740 0.120
#> A3343F40-F977-4F9B-856A-28781F10F4CD 2 0.2134 0.79373 0.000 0.904 0.000 0.052 0.000 0.044
#> DA144299-5541-47D7-A59E-C92896DF08FC 5 0.3065 0.78871 0.048 0.000 0.000 0.008 0.848 0.096
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 2 0.1594 0.79049 0.000 0.932 0.000 0.016 0.000 0.052
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.0000 0.90594 1.000 0.000 0.000 0.000 0.000 0.000
#> 617447CF-9327-4062-B22C-71A8944C948F 2 0.0964 0.79018 0.000 0.968 0.000 0.012 0.004 0.016
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0000 0.90594 1.000 0.000 0.000 0.000 0.000 0.000
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 2 0.1036 0.78853 0.000 0.964 0.000 0.008 0.004 0.024
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 5 0.4862 0.32746 0.428 0.000 0.000 0.004 0.520 0.048
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.1116 0.78767 0.000 0.960 0.000 0.008 0.004 0.028
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.0000 0.90594 1.000 0.000 0.000 0.000 0.000 0.000
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 3 0.0000 0.94509 0.000 0.000 1.000 0.000 0.000 0.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 2 0.0603 0.79104 0.000 0.980 0.000 0.004 0.000 0.016
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 2 0.4184 0.20721 0.000 0.500 0.000 0.012 0.000 0.488
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 5 0.3371 0.65415 0.292 0.000 0.000 0.000 0.708 0.000
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 5 0.1237 0.76565 0.004 0.000 0.000 0.020 0.956 0.020
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.1116 0.78789 0.000 0.960 0.000 0.008 0.004 0.028
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 1 0.4314 -0.15265 0.500 0.000 0.000 0.004 0.484 0.012
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.0000 0.90594 1.000 0.000 0.000 0.000 0.000 0.000
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 2 0.3592 0.54038 0.000 0.656 0.000 0.000 0.000 0.344
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 2 0.2980 0.70198 0.000 0.800 0.000 0.008 0.000 0.192
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 5 0.1814 0.79596 0.100 0.000 0.000 0.000 0.900 0.000
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 5 0.1485 0.75882 0.004 0.000 0.000 0.024 0.944 0.028
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.0000 0.90594 1.000 0.000 0.000 0.000 0.000 0.000
#> DA1301D3-1F84-46C5-AB44-079493A81A51 5 0.1564 0.80399 0.040 0.000 0.000 0.000 0.936 0.024
#> A12B1681-B598-40C3-80FE-1801F3F1189D 5 0.5396 0.61254 0.268 0.000 0.000 0.012 0.600 0.120
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 2 0.4554 0.55371 0.000 0.600 0.000 0.360 0.036 0.004
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 4 0.3211 0.59205 0.000 0.020 0.000 0.848 0.056 0.076
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.2048 0.76335 0.000 0.880 0.000 0.000 0.000 0.120
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.3266 0.67176 0.000 0.728 0.000 0.272 0.000 0.000
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 5 0.1007 0.80715 0.044 0.000 0.000 0.000 0.956 0.000
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.3351 0.61732 0.000 0.712 0.000 0.000 0.000 0.288
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.3728 0.54412 0.000 0.652 0.000 0.004 0.000 0.344
#> 1D0379B1-0E99-4E6D-B890-907C92860654 4 0.3871 0.28860 0.000 0.308 0.000 0.676 0.016 0.000
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.1405 0.79243 0.000 0.948 0.000 0.024 0.004 0.024
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 2 0.3647 0.58638 0.000 0.640 0.000 0.360 0.000 0.000
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 2 0.1857 0.79017 0.000 0.924 0.000 0.044 0.004 0.028
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0000 0.90594 1.000 0.000 0.000 0.000 0.000 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.1237 0.78960 0.000 0.956 0.000 0.020 0.004 0.020
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 5 0.1588 0.80682 0.072 0.000 0.000 0.000 0.924 0.004
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.3390 0.60890 0.000 0.704 0.000 0.000 0.000 0.296
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0000 0.90594 1.000 0.000 0.000 0.000 0.000 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.1390 0.78863 0.000 0.948 0.000 0.016 0.004 0.032
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 5 0.2605 0.79937 0.040 0.000 0.000 0.012 0.884 0.064
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.0951 0.78971 0.000 0.968 0.000 0.008 0.004 0.020
#> AC376BBB-667B-4469-B567-9BE18DE0F811 5 0.4242 0.42279 0.412 0.000 0.000 0.004 0.572 0.012
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.2972 0.77223 0.000 0.836 0.000 0.128 0.000 0.036
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0146 0.90516 0.996 0.000 0.000 0.000 0.004 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0363 0.90171 0.988 0.000 0.000 0.000 0.012 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.1237 0.78960 0.000 0.956 0.000 0.020 0.004 0.020
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 5 0.3592 0.77381 0.044 0.000 0.000 0.020 0.812 0.124
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.2182 0.78615 0.000 0.900 0.000 0.076 0.004 0.020
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.94509 0.000 0.000 1.000 0.000 0.000 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 2 0.3940 0.53762 0.000 0.640 0.000 0.012 0.000 0.348
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 6 0.5432 0.06426 0.000 0.400 0.120 0.000 0.000 0.480
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 4 0.4736 0.60494 0.000 0.000 0.000 0.680 0.164 0.156
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.4467 0.57806 0.000 0.632 0.000 0.048 0.000 0.320
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.1148 0.79059 0.000 0.960 0.000 0.016 0.004 0.020
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.1138 0.79018 0.000 0.960 0.000 0.012 0.004 0.024
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.0891 0.79523 0.000 0.968 0.000 0.024 0.000 0.008
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.90594 1.000 0.000 0.000 0.000 0.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.90594 1.000 0.000 0.000 0.000 0.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 5 0.2048 0.78805 0.120 0.000 0.000 0.000 0.880 0.000
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0777 0.89627 0.972 0.000 0.000 0.000 0.024 0.004
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.2118 0.77337 0.000 0.888 0.000 0.008 0.000 0.104
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.0508 0.79427 0.000 0.984 0.000 0.004 0.000 0.012
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.1910 0.82567 0.892 0.000 0.000 0.000 0.108 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.2912 0.73389 0.000 0.816 0.000 0.012 0.000 0.172
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.3652 0.46571 0.672 0.000 0.000 0.000 0.324 0.004
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 5 0.1643 0.80887 0.068 0.000 0.000 0.000 0.924 0.008
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.3964 0.49889 0.000 0.000 0.724 0.044 0.000 0.232
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 5 0.5259 0.54954 0.324 0.000 0.000 0.012 0.580 0.084
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 17654 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'ATC' method.
#> Subgroups are detected by 'NMF' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 3.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.966 0.986 0.4917 0.508 0.508
#> 3 3 0.933 0.924 0.969 0.3219 0.732 0.524
#> 4 4 0.765 0.706 0.860 0.0958 0.916 0.770
#> 5 5 0.823 0.759 0.893 0.0623 0.910 0.715
#> 6 6 0.784 0.757 0.863 0.0493 0.917 0.693
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
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.9898 1.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 2 0.0000 0.9807 0.000 1.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.0000 0.9898 1.000 0.000
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.0000 0.9898 1.000 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.0000 0.9898 1.000 0.000
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.0000 0.9898 1.000 0.000
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 1 0.0000 0.9898 1.000 0.000
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 1 0.0000 0.9898 1.000 0.000
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.0000 0.9898 1.000 0.000
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 1 0.0000 0.9898 1.000 0.000
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.0000 0.9898 1.000 0.000
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 2 0.0000 0.9807 0.000 1.000
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.9898 1.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 2 0.0000 0.9807 0.000 1.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 1 0.0000 0.9898 1.000 0.000
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.0000 0.9807 0.000 1.000
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0000 0.9898 1.000 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.9898 1.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 1 0.0000 0.9898 1.000 0.000
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0000 0.9898 1.000 0.000
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 1 0.0000 0.9898 1.000 0.000
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.0000 0.9807 0.000 1.000
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 1 0.0000 0.9898 1.000 0.000
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0000 0.9898 1.000 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 1 0.5946 0.8272 0.856 0.144
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 1 0.0000 0.9898 1.000 0.000
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.0000 0.9807 0.000 1.000
#> 375FE390-434B-41D3-9029-84065B1D7B6F 1 0.7056 0.7585 0.808 0.192
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 0.9898 1.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.0000 0.9807 0.000 1.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.0000 0.9807 0.000 1.000
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 2 0.0000 0.9807 0.000 1.000
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.0000 0.9807 0.000 1.000
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.0000 0.9898 1.000 0.000
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 2 0.0000 0.9807 0.000 1.000
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 1 0.0000 0.9898 1.000 0.000
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 1 0.0000 0.9898 1.000 0.000
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 2 0.0000 0.9807 0.000 1.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.0000 0.9898 1.000 0.000
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 2 0.0000 0.9807 0.000 1.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 1 0.0000 0.9898 1.000 0.000
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 2 0.0000 0.9807 0.000 1.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 2 0.0000 0.9807 0.000 1.000
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#> 563D6436-E370-45A5-BC2C-5AC574B7B202 2 0.0000 0.9807 0.000 1.000
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 1 0.0000 0.9898 1.000 0.000
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 2 0.0000 0.9807 0.000 1.000
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 1 0.0000 0.9898 1.000 0.000
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 1 0.0000 0.9898 1.000 0.000
#> A3343F40-F977-4F9B-856A-28781F10F4CD 2 0.0000 0.9807 0.000 1.000
#> DA144299-5541-47D7-A59E-C92896DF08FC 1 0.0000 0.9898 1.000 0.000
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 2 0.0000 0.9807 0.000 1.000
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.0000 0.9898 1.000 0.000
#> 617447CF-9327-4062-B22C-71A8944C948F 2 0.0000 0.9807 0.000 1.000
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0000 0.9898 1.000 0.000
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 2 0.0000 0.9807 0.000 1.000
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.0000 0.9898 1.000 0.000
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.0000 0.9807 0.000 1.000
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.0000 0.9898 1.000 0.000
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 2 0.0000 0.9807 0.000 1.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 2 0.0000 0.9807 0.000 1.000
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 2 0.0000 0.9807 0.000 1.000
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.0000 0.9898 1.000 0.000
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 1 0.0000 0.9898 1.000 0.000
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.0000 0.9807 0.000 1.000
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 1 0.0000 0.9898 1.000 0.000
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.0000 0.9898 1.000 0.000
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 2 0.0000 0.9807 0.000 1.000
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 2 0.0000 0.9807 0.000 1.000
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 1 0.0000 0.9898 1.000 0.000
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 2 0.0000 0.9807 0.000 1.000
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.0000 0.9898 1.000 0.000
#> DA1301D3-1F84-46C5-AB44-079493A81A51 1 0.9522 0.4009 0.628 0.372
#> A12B1681-B598-40C3-80FE-1801F3F1189D 1 0.0000 0.9898 1.000 0.000
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 1 0.0000 0.9898 1.000 0.000
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 1 0.0000 0.9898 1.000 0.000
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 2 0.0000 0.9807 0.000 1.000
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 1 0.2236 0.9546 0.964 0.036
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 1 0.0000 0.9898 1.000 0.000
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 2 0.0000 0.9807 0.000 1.000
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 2 0.0000 0.9807 0.000 1.000
#> 1D0379B1-0E99-4E6D-B890-907C92860654 1 0.0000 0.9898 1.000 0.000
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.2778 0.9368 0.048 0.952
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 1 0.0000 0.9898 1.000 0.000
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 1 0.0000 0.9898 1.000 0.000
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0000 0.9898 1.000 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.0000 0.9807 0.000 1.000
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.0000 0.9898 1.000 0.000
#> ECC40A03-488E-4076-8A3A-234D968623AD 2 0.0000 0.9807 0.000 1.000
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0000 0.9898 1.000 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.0000 0.9807 0.000 1.000
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 1 0.0000 0.9898 1.000 0.000
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.0000 0.9807 0.000 1.000
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.0000 0.9898 1.000 0.000
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.0000 0.9807 0.000 1.000
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.9898 1.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.9898 1.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.0000 0.9807 0.000 1.000
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.0000 0.9898 1.000 0.000
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 1 0.3274 0.9293 0.940 0.060
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 2 0.0000 0.9807 0.000 1.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 2 0.0000 0.9807 0.000 1.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 2 0.0000 0.9807 0.000 1.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 1 0.0000 0.9898 1.000 0.000
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 2 0.0000 0.9807 0.000 1.000
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.0000 0.9807 0.000 1.000
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.0000 0.9807 0.000 1.000
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.2603 0.9408 0.044 0.956
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.9898 1.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.9898 1.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.0000 0.9898 1.000 0.000
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0000 0.9898 1.000 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.0000 0.9807 0.000 1.000
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.0000 0.9807 0.000 1.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0000 0.9898 1.000 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.0000 0.9807 0.000 1.000
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.0000 0.9898 1.000 0.000
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.0000 0.9898 1.000 0.000
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 2 0.0000 0.9807 0.000 1.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.0000 0.9898 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.9826 1.000 0.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.9593 0.000 0.000 1.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.0000 0.9826 1.000 0.000 0.000
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.0237 0.9791 0.996 0.004 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.0000 0.9826 1.000 0.000 0.000
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.0000 0.9826 1.000 0.000 0.000
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 2 0.1163 0.9266 0.028 0.972 0.000
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 2 0.0000 0.9495 0.000 1.000 0.000
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.0000 0.9826 1.000 0.000 0.000
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 1 0.0000 0.9826 1.000 0.000 0.000
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.0000 0.9826 1.000 0.000 0.000
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 3 0.0000 0.9593 0.000 0.000 1.000
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.9826 1.000 0.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 3 0.0000 0.9593 0.000 0.000 1.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 2 0.2448 0.8786 0.076 0.924 0.000
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.6062 0.3996 0.000 0.616 0.384
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0000 0.9826 1.000 0.000 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.9826 1.000 0.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 1 0.0000 0.9826 1.000 0.000 0.000
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0000 0.9826 1.000 0.000 0.000
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 2 0.2711 0.8665 0.088 0.912 0.000
#> 83453F80-8A68-4A3C-995D-85CFB1011249 3 0.2711 0.8818 0.000 0.088 0.912
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 2 0.0000 0.9495 0.000 1.000 0.000
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0000 0.9826 1.000 0.000 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 2 0.3031 0.8790 0.012 0.912 0.076
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 1 0.0000 0.9826 1.000 0.000 0.000
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.0000 0.9495 0.000 1.000 0.000
#> 375FE390-434B-41D3-9029-84065B1D7B6F 2 0.0424 0.9438 0.008 0.992 0.000
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 0.9826 1.000 0.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.6309 0.0319 0.000 0.500 0.500
#> A03E7A20-7234-4243-8E87-0D017B17A700 2 0.5835 0.5089 0.000 0.660 0.340
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 3 0.2625 0.8873 0.000 0.084 0.916
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 2 0.0592 0.9415 0.000 0.988 0.012
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.0000 0.9826 1.000 0.000 0.000
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 3 0.0000 0.9593 0.000 0.000 1.000
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 2 0.0000 0.9495 0.000 1.000 0.000
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 1 0.0000 0.9826 1.000 0.000 0.000
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0000 0.9593 0.000 0.000 1.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.0000 0.9826 1.000 0.000 0.000
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.0000 0.9593 0.000 0.000 1.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 2 0.0000 0.9495 0.000 1.000 0.000
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.0000 0.9593 0.000 0.000 1.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.0000 0.9593 0.000 0.000 1.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 1 0.0000 0.9826 1.000 0.000 0.000
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 1 0.3116 0.8700 0.892 0.108 0.000
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.0000 0.9826 1.000 0.000 0.000
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 2 0.0000 0.9495 0.000 1.000 0.000
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 1 0.0000 0.9826 1.000 0.000 0.000
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.0000 0.9826 1.000 0.000 0.000
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 2 0.0237 0.9469 0.004 0.996 0.000
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.0000 0.9495 0.000 1.000 0.000
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 1 0.5882 0.4604 0.652 0.348 0.000
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.0000 0.9593 0.000 0.000 1.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.0000 0.9826 1.000 0.000 0.000
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 3 0.0000 0.9593 0.000 0.000 1.000
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 2 0.0000 0.9495 0.000 1.000 0.000
#> 208165C0-229B-49E2-A22A-575CA3157C9E 2 0.0000 0.9495 0.000 1.000 0.000
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 1 0.0000 0.9826 1.000 0.000 0.000
#> 01397021-8495-4D89-885A-166B4DBA0122 3 0.0000 0.9593 0.000 0.000 1.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 3 0.0000 0.9593 0.000 0.000 1.000
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.0000 0.9826 1.000 0.000 0.000
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 2 0.0000 0.9495 0.000 1.000 0.000
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 3 0.0000 0.9593 0.000 0.000 1.000
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 3 0.0000 0.9593 0.000 0.000 1.000
#> AA569A06-0F37-4492-93F3-60A4539A3E82 2 0.0000 0.9495 0.000 1.000 0.000
#> BC53FB75-94CA-48C3-875B-5987037D186F 3 0.4504 0.7587 0.000 0.196 0.804
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 1 0.0000 0.9826 1.000 0.000 0.000
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 3 0.0000 0.9593 0.000 0.000 1.000
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 2 0.0000 0.9495 0.000 1.000 0.000
#> DF67F589-A607-4B95-96B8-4BB344132312 3 0.0000 0.9593 0.000 0.000 1.000
#> A65233E6-C146-4ACF-8DDE-5FB12D8D9637 3 0.0000 0.9593 0.000 0.000 1.000
#> 7578C9A3-FFF8-45C4-AC28-1C6141A9A2AD 1 0.0000 0.9826 1.000 0.000 0.000
#> 4DF775B9-E2FE-4F5E-8329-C37E21C5D10E 1 0.2711 0.8928 0.912 0.000 0.088
#> 5E6B86C6-3D79-47BB-9FAF-CA22659CFEA7 1 0.0000 0.9826 1.000 0.000 0.000
#> 53286128-668B-47EA-9A5F-D768FDCCBE88 1 0.0000 0.9826 1.000 0.000 0.000
#> 01C9F351-97FE-4037-A879-9D96A3DD3FBB 3 0.0000 0.9593 0.000 0.000 1.000
#> 5487DB21-6A58-46AC-A2A1-E343082D41D8 1 0.0000 0.9826 1.000 0.000 0.000
#> 0FB3E997-4E31-4FA6-9654-11C3C0AF8D86 2 0.0000 0.9495 0.000 1.000 0.000
#> A0706E80-FDF9-4721-BEB4-90527F6D38C4 2 0.0000 0.9495 0.000 1.000 0.000
#> 5260226E-1826-4F54-8237-28993DD2EF04 3 0.0000 0.9593 0.000 0.000 1.000
#> F53F71A7-A399-49AB-8657-019C5C56F48C 3 0.2448 0.8951 0.000 0.076 0.924
#> 008159F2-5247-479A-8BFE-C394888D0B74 2 0.0000 0.9495 0.000 1.000 0.000
#> 9E6BA6FB-35F2-4510-94AE-3E7CDFED3D47 3 0.0000 0.9593 0.000 0.000 1.000
#> F12BE7AC-D2DD-4AD1-AB37-32DC85954F59 1 0.6079 0.3586 0.612 0.388 0.000
#> 38A6BA1F-B444-4155-A168-EC2DF0EE0785 1 0.0000 0.9826 1.000 0.000 0.000
#> B107D1DE-EE52-4E89-B75A-91124BFF99AE 3 0.0000 0.9593 0.000 0.000 1.000
#> D4D16D09-8895-4BEA-ABF7-F11C5D5BDCAA 1 0.0000 0.9826 1.000 0.000 0.000
#> 9A53C473-1364-4BB6-AD36-EF53E0208450 1 0.0000 0.9826 1.000 0.000 0.000
#> F00C0ED6-C811-4F32-BDB4-4ACA7861DC7D 2 0.0237 0.9472 0.000 0.996 0.004
#> 72618985-CD49-4B6F-8CB0-5EE590FAD09A 2 0.0000 0.9495 0.000 1.000 0.000
#> 978A315F-CCE9-4D03-A680-C0AD60B10557 2 0.0000 0.9495 0.000 1.000 0.000
#> B6EACAED-3944-4510-B685-0BB8D1651D4F 1 0.0000 0.9826 1.000 0.000 0.000
#> EBCF16B4-A804-45EB-8253-0F28A2645729 1 0.0000 0.9826 1.000 0.000 0.000
#> 637DC441-4A75-4DA8-8F65-91FDB5F103C7 3 0.0000 0.9593 0.000 0.000 1.000
#> 89F67654-A246-4307-9B17-4A1C01DB1AED 2 0.0000 0.9495 0.000 1.000 0.000
#> 3A8EB57B-71ED-4169-A8EB-624C67CDBBE1 3 0.6291 0.0823 0.000 0.468 0.532
#> CC4DA9C6-CAB2-44FF-8219-D293ECD07DD4 3 0.3816 0.8051 0.148 0.000 0.852
#> AEC4FDAA-8F60-43CE-8EBB-5629FA662F16 2 0.0000 0.9495 0.000 1.000 0.000
#> BFC0D795-64F4-48B3-AD08-8C564E5E5367 1 0.0000 0.9826 1.000 0.000 0.000
#> 907BBBA4-4E7B-4808-892E-F80525C3CFA3 2 0.6140 0.3224 0.404 0.596 0.000
#> 7F21FA19-1468-4A65-A10A-A9727218A5EF 1 0.0000 0.9826 1.000 0.000 0.000
#> 905A026A-0B13-4AD3-B2BB-9A5AE76920AF 2 0.0237 0.9469 0.004 0.996 0.000
#> 6DDFC760-7BED-4A68-8DDA-9453D0FC9C1D 1 0.0000 0.9826 1.000 0.000 0.000
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#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 1 0.0000 0.9826 1.000 0.000 0.000
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 3 0.0237 0.9567 0.000 0.004 0.996
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 3 0.0000 0.9593 0.000 0.000 1.000
#> 1D0379B1-0E99-4E6D-B890-907C92860654 2 0.0892 0.9339 0.020 0.980 0.000
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.0000 0.9495 0.000 1.000 0.000
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 2 0.0000 0.9495 0.000 1.000 0.000
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 2 0.0000 0.9495 0.000 1.000 0.000
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0000 0.9826 1.000 0.000 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.0000 0.9495 0.000 1.000 0.000
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.0000 0.9826 1.000 0.000 0.000
#> ECC40A03-488E-4076-8A3A-234D968623AD 3 0.0000 0.9593 0.000 0.000 1.000
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0000 0.9826 1.000 0.000 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.0000 0.9495 0.000 1.000 0.000
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 1 0.0000 0.9826 1.000 0.000 0.000
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.0000 0.9495 0.000 1.000 0.000
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.0000 0.9826 1.000 0.000 0.000
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.0000 0.9495 0.000 1.000 0.000
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.9826 1.000 0.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.9826 1.000 0.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.0237 0.9472 0.000 0.996 0.004
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.0000 0.9826 1.000 0.000 0.000
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.0000 0.9495 0.000 1.000 0.000
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.9593 0.000 0.000 1.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 3 0.0000 0.9593 0.000 0.000 1.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.0000 0.9593 0.000 0.000 1.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 1 0.0237 0.9791 0.996 0.004 0.000
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 3 0.1163 0.9381 0.000 0.028 0.972
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.0000 0.9495 0.000 1.000 0.000
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.6062 0.4034 0.000 0.616 0.384
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.0000 0.9495 0.000 1.000 0.000
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.9826 1.000 0.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.9826 1.000 0.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.0000 0.9826 1.000 0.000 0.000
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0000 0.9826 1.000 0.000 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.0000 0.9495 0.000 1.000 0.000
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.0000 0.9495 0.000 1.000 0.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0000 0.9826 1.000 0.000 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.2356 0.8897 0.000 0.928 0.072
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.0000 0.9826 1.000 0.000 0.000
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.0000 0.9826 1.000 0.000 0.000
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.9593 0.000 0.000 1.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.0000 0.9826 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.94733 1.000 0.000 0.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.87581 0.000 0.000 1.000 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.0469 0.93889 0.988 0.000 0.000 0.012
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.0000 0.94733 1.000 0.000 0.000 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.0000 0.94733 1.000 0.000 0.000 0.000
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.0000 0.94733 1.000 0.000 0.000 0.000
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 2 0.6315 -0.04409 0.064 0.540 0.000 0.396
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 4 0.4981 0.13936 0.000 0.464 0.000 0.536
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.0000 0.94733 1.000 0.000 0.000 0.000
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 4 0.4978 0.28193 0.384 0.004 0.000 0.612
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 1 0.3688 0.73473 0.792 0.000 0.000 0.208
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 3 0.0000 0.87581 0.000 0.000 1.000 0.000
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0000 0.94733 1.000 0.000 0.000 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 3 0.0000 0.87581 0.000 0.000 1.000 0.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 2 0.7685 -0.10167 0.288 0.456 0.000 0.256
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.3908 0.49354 0.000 0.784 0.212 0.004
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0000 0.94733 1.000 0.000 0.000 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.94733 1.000 0.000 0.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 1 0.0000 0.94733 1.000 0.000 0.000 0.000
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0000 0.94733 1.000 0.000 0.000 0.000
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 4 0.5496 0.29005 0.036 0.312 0.000 0.652
#> 83453F80-8A68-4A3C-995D-85CFB1011249 3 0.2149 0.81502 0.000 0.088 0.912 0.000
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 2 0.0336 0.71720 0.000 0.992 0.000 0.008
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0000 0.94733 1.000 0.000 0.000 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 4 0.3123 0.45625 0.000 0.156 0.000 0.844
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 1 0.0000 0.94733 1.000 0.000 0.000 0.000
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.2011 0.67981 0.000 0.920 0.000 0.080
#> 375FE390-434B-41D3-9029-84065B1D7B6F 4 0.4746 0.47859 0.000 0.368 0.000 0.632
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 0.94733 1.000 0.000 0.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 3 0.4761 0.41824 0.000 0.372 0.628 0.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 3 0.7634 -0.01844 0.000 0.300 0.464 0.236
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 3 0.4761 0.57241 0.000 0.004 0.664 0.332
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 4 0.7179 0.29185 0.000 0.276 0.180 0.544
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.0000 0.94733 1.000 0.000 0.000 0.000
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 3 0.0000 0.87581 0.000 0.000 1.000 0.000
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 4 0.4996 0.14657 0.000 0.484 0.000 0.516
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 1 0.0000 0.94733 1.000 0.000 0.000 0.000
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0000 0.87581 0.000 0.000 1.000 0.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.0000 0.94733 1.000 0.000 0.000 0.000
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.0000 0.87581 0.000 0.000 1.000 0.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 2 0.0000 0.71928 0.000 1.000 0.000 0.000
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.0000 0.87581 0.000 0.000 1.000 0.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.0000 0.87581 0.000 0.000 1.000 0.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 1 0.0000 0.94733 1.000 0.000 0.000 0.000
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 1 0.7037 0.02366 0.464 0.120 0.000 0.416
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.0000 0.94733 1.000 0.000 0.000 0.000
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 2 0.0921 0.71069 0.000 0.972 0.000 0.028
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 1 0.0000 0.94733 1.000 0.000 0.000 0.000
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.0000 0.94733 1.000 0.000 0.000 0.000
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 4 0.4585 0.33308 0.000 0.332 0.000 0.668
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.0000 0.71928 0.000 1.000 0.000 0.000
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 1 0.4595 0.71397 0.780 0.044 0.000 0.176
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.0000 0.87581 0.000 0.000 1.000 0.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.0000 0.94733 1.000 0.000 0.000 0.000
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 3 0.2345 0.82153 0.000 0.000 0.900 0.100
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 2 0.4925 0.02321 0.000 0.572 0.000 0.428
#> 208165C0-229B-49E2-A22A-575CA3157C9E 2 0.4804 0.34536 0.000 0.616 0.000 0.384
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 1 0.2281 0.86536 0.904 0.000 0.000 0.096
#> 01397021-8495-4D89-885A-166B4DBA0122 3 0.0000 0.87581 0.000 0.000 1.000 0.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 3 0.0000 0.87581 0.000 0.000 1.000 0.000
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.0000 0.94733 1.000 0.000 0.000 0.000
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 2 0.3907 0.46939 0.000 0.768 0.000 0.232
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 3 0.5070 0.62309 0.000 0.192 0.748 0.060
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 3 0.0657 0.86868 0.000 0.004 0.984 0.012
#> AA569A06-0F37-4492-93F3-60A4539A3E82 4 0.4746 0.47859 0.000 0.368 0.000 0.632
#> BC53FB75-94CA-48C3-875B-5987037D186F 3 0.3899 0.75916 0.000 0.052 0.840 0.108
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 1 0.0000 0.94733 1.000 0.000 0.000 0.000
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 3 0.3032 0.79659 0.000 0.008 0.868 0.124
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 2 0.4830 0.28159 0.000 0.608 0.000 0.392
#> DF67F589-A607-4B95-96B8-4BB344132312 3 0.3215 0.79525 0.000 0.032 0.876 0.092
#> A65233E6-C146-4ACF-8DDE-5FB12D8D9637 3 0.0000 0.87581 0.000 0.000 1.000 0.000
#> 7578C9A3-FFF8-45C4-AC28-1C6141A9A2AD 1 0.0000 0.94733 1.000 0.000 0.000 0.000
#> 4DF775B9-E2FE-4F5E-8329-C37E21C5D10E 3 0.7686 0.05545 0.228 0.000 0.436 0.336
#> 5E6B86C6-3D79-47BB-9FAF-CA22659CFEA7 1 0.1557 0.90365 0.944 0.000 0.000 0.056
#> 53286128-668B-47EA-9A5F-D768FDCCBE88 1 0.3764 0.72752 0.784 0.000 0.000 0.216
#> 01C9F351-97FE-4037-A879-9D96A3DD3FBB 3 0.0000 0.87581 0.000 0.000 1.000 0.000
#> 5487DB21-6A58-46AC-A2A1-E343082D41D8 1 0.0000 0.94733 1.000 0.000 0.000 0.000
#> 0FB3E997-4E31-4FA6-9654-11C3C0AF8D86 2 0.2281 0.66539 0.000 0.904 0.000 0.096
#> A0706E80-FDF9-4721-BEB4-90527F6D38C4 2 0.3355 0.60553 0.000 0.836 0.004 0.160
#> 5260226E-1826-4F54-8237-28993DD2EF04 3 0.0000 0.87581 0.000 0.000 1.000 0.000
#> F53F71A7-A399-49AB-8657-019C5C56F48C 4 0.4967 -0.12636 0.000 0.000 0.452 0.548
#> 008159F2-5247-479A-8BFE-C394888D0B74 2 0.4250 0.40013 0.000 0.724 0.000 0.276
#> 9E6BA6FB-35F2-4510-94AE-3E7CDFED3D47 3 0.0000 0.87581 0.000 0.000 1.000 0.000
#> F12BE7AC-D2DD-4AD1-AB37-32DC85954F59 4 0.5063 0.44659 0.124 0.108 0.000 0.768
#> 38A6BA1F-B444-4155-A168-EC2DF0EE0785 1 0.1716 0.89573 0.936 0.000 0.000 0.064
#> B107D1DE-EE52-4E89-B75A-91124BFF99AE 3 0.0000 0.87581 0.000 0.000 1.000 0.000
#> D4D16D09-8895-4BEA-ABF7-F11C5D5BDCAA 1 0.0000 0.94733 1.000 0.000 0.000 0.000
#> 9A53C473-1364-4BB6-AD36-EF53E0208450 1 0.0000 0.94733 1.000 0.000 0.000 0.000
#> F00C0ED6-C811-4F32-BDB4-4ACA7861DC7D 2 0.0469 0.71539 0.000 0.988 0.012 0.000
#> 72618985-CD49-4B6F-8CB0-5EE590FAD09A 4 0.4996 0.34525 0.000 0.484 0.000 0.516
#> 978A315F-CCE9-4D03-A680-C0AD60B10557 2 0.2589 0.62932 0.000 0.884 0.000 0.116
#> B6EACAED-3944-4510-B685-0BB8D1651D4F 1 0.0000 0.94733 1.000 0.000 0.000 0.000
#> EBCF16B4-A804-45EB-8253-0F28A2645729 1 0.4688 0.72959 0.792 0.000 0.128 0.080
#> 637DC441-4A75-4DA8-8F65-91FDB5F103C7 3 0.0592 0.86380 0.016 0.000 0.984 0.000
#> 89F67654-A246-4307-9B17-4A1C01DB1AED 2 0.0000 0.71928 0.000 1.000 0.000 0.000
#> 3A8EB57B-71ED-4169-A8EB-624C67CDBBE1 3 0.3942 0.61892 0.000 0.236 0.764 0.000
#> CC4DA9C6-CAB2-44FF-8219-D293ECD07DD4 3 0.4030 0.74878 0.092 0.000 0.836 0.072
#> AEC4FDAA-8F60-43CE-8EBB-5629FA662F16 2 0.0000 0.71928 0.000 1.000 0.000 0.000
#> BFC0D795-64F4-48B3-AD08-8C564E5E5367 1 0.0469 0.93911 0.988 0.000 0.000 0.012
#> 907BBBA4-4E7B-4808-892E-F80525C3CFA3 4 0.3082 0.51182 0.032 0.084 0.000 0.884
#> 7F21FA19-1468-4A65-A10A-A9727218A5EF 1 0.0000 0.94733 1.000 0.000 0.000 0.000
#> 905A026A-0B13-4AD3-B2BB-9A5AE76920AF 4 0.4776 0.46864 0.000 0.376 0.000 0.624
#> 6DDFC760-7BED-4A68-8DDA-9453D0FC9C1D 1 0.0000 0.94733 1.000 0.000 0.000 0.000
#> B3AFF323-BAAD-4512-A837-20C430EA39D1 1 0.0000 0.94733 1.000 0.000 0.000 0.000
#> 193E9034-42A2-4701-AA3E-2E852CA5C043 1 0.0000 0.94733 1.000 0.000 0.000 0.000
#> 8B6127D5-D3BB-4E17-914C-3ED1E2A52078 2 0.0000 0.71928 0.000 1.000 0.000 0.000
#> BD6E5E3C-DC43-4A85-84DF-84C68ABB851A 2 0.4925 -0.00428 0.000 0.572 0.000 0.428
#> 881EACBD-B314-4A9E-A6DE-58DF9466AFB3 4 0.4994 0.21488 0.000 0.480 0.000 0.520
#> 195A6DF6-437D-4964-8872-C44F13E2CA4C 4 0.4972 -0.00984 0.000 0.456 0.000 0.544
#> C40FD0B3-4773-490D-A342-B1CE8CC0A5BD 1 0.0000 0.94733 1.000 0.000 0.000 0.000
#> 613454BF-1A66-4DBB-90D0-246FC212DA4A 1 0.2216 0.85849 0.908 0.000 0.092 0.000
#> 5F121320-0F61-4BC0-BB69-F5C9A93BC118 1 0.0000 0.94733 1.000 0.000 0.000 0.000
#> E5637874-962B-4C43-8339-A6625D754DA8 2 0.7413 -0.03895 0.252 0.516 0.000 0.232
#> 7614BF19-E3A2-492A-ABC0-557B274CA326 1 0.0000 0.94733 1.000 0.000 0.000 0.000
#> 6EB070B1-45C3-46DB-BFF9-6D9A137EC3A8 4 0.4920 0.47734 0.004 0.368 0.000 0.628
#> 873EEA1A-8AA1-4C83-B001-7BD64343ADE1 1 0.0000 0.94733 1.000 0.000 0.000 0.000
#> 2DCF0812-AC29-4BC2-8929-4D3D7B0F6335 2 0.0336 0.71716 0.000 0.992 0.000 0.008
#> 9391B623-4EC1-43A2-85EC-7B80BE87827D 1 0.0000 0.94733 1.000 0.000 0.000 0.000
#> 32A000F1-BAEA-41D2-AC75-02255A5BF2F2 2 0.1661 0.68914 0.000 0.944 0.004 0.052
#> 9C1016CE-3EAB-4FA7-806B-C8F6B08B4EA1 1 0.5157 0.56491 0.688 0.028 0.000 0.284
#> C7C4E75E-887F-4D11-9FDC-32292895A6B3 4 0.4250 0.35727 0.000 0.276 0.000 0.724
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#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 3 0.0000 0.87581 0.000 0.000 1.000 0.000
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 1 0.0000 0.94733 1.000 0.000 0.000 0.000
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 3 0.0921 0.86382 0.000 0.000 0.972 0.028
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.0000 0.94733 1.000 0.000 0.000 0.000
#> DA1301D3-1F84-46C5-AB44-079493A81A51 3 0.7498 0.21215 0.292 0.000 0.492 0.216
#> A12B1681-B598-40C3-80FE-1801F3F1189D 1 0.3907 0.69492 0.768 0.000 0.000 0.232
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 4 0.4585 0.29719 0.000 0.332 0.000 0.668
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 2 0.7761 -0.18795 0.244 0.416 0.000 0.340
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 3 0.1557 0.84238 0.000 0.056 0.944 0.000
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.3688 0.50899 0.000 0.792 0.000 0.208
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 1 0.0000 0.94733 1.000 0.000 0.000 0.000
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 3 0.4406 0.69682 0.000 0.028 0.780 0.192
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 3 0.0000 0.87581 0.000 0.000 1.000 0.000
#> 1D0379B1-0E99-4E6D-B890-907C92860654 4 0.4431 0.50202 0.000 0.304 0.000 0.696
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.4193 0.48159 0.000 0.732 0.000 0.268
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 2 0.4406 0.25676 0.000 0.700 0.000 0.300
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 2 0.2647 0.62442 0.000 0.880 0.000 0.120
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0000 0.94733 1.000 0.000 0.000 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.0188 0.71829 0.000 0.996 0.000 0.004
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.0000 0.94733 1.000 0.000 0.000 0.000
#> ECC40A03-488E-4076-8A3A-234D968623AD 3 0.6007 0.41767 0.000 0.056 0.604 0.340
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0000 0.94733 1.000 0.000 0.000 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.0000 0.71928 0.000 1.000 0.000 0.000
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 1 0.0000 0.94733 1.000 0.000 0.000 0.000
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.0000 0.71928 0.000 1.000 0.000 0.000
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.0000 0.94733 1.000 0.000 0.000 0.000
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.3569 0.52916 0.000 0.804 0.000 0.196
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.94733 1.000 0.000 0.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.94733 1.000 0.000 0.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.0469 0.71496 0.000 0.988 0.012 0.000
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.0000 0.94733 1.000 0.000 0.000 0.000
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.0188 0.71834 0.000 0.996 0.000 0.004
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.87581 0.000 0.000 1.000 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 3 0.0000 0.87581 0.000 0.000 1.000 0.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.0000 0.87581 0.000 0.000 1.000 0.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 1 0.6430 0.36307 0.596 0.092 0.000 0.312
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 3 0.2450 0.81865 0.000 0.016 0.912 0.072
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.0000 0.71928 0.000 1.000 0.000 0.000
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.6152 0.39846 0.000 0.668 0.212 0.120
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.0000 0.71928 0.000 1.000 0.000 0.000
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.94733 1.000 0.000 0.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.94733 1.000 0.000 0.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.0000 0.94733 1.000 0.000 0.000 0.000
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0000 0.94733 1.000 0.000 0.000 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 3 0.7162 -0.01143 0.000 0.392 0.472 0.136
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.1118 0.70570 0.000 0.964 0.000 0.036
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.0592 0.93619 0.984 0.000 0.000 0.016
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 3 0.5862 0.00849 0.000 0.484 0.484 0.032
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.0188 0.94471 0.996 0.000 0.000 0.004
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.0000 0.94733 1.000 0.000 0.000 0.000
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.87581 0.000 0.000 1.000 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.0000 0.94733 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
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.0000 0.94196 1.000 0.000 0.000 0.000 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.89203 0.000 0.000 1.000 0.000 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.0290 0.93843 0.992 0.000 0.000 0.000 0.008
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.0794 0.92745 0.972 0.000 0.000 0.028 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.0510 0.93219 0.984 0.000 0.000 0.000 0.016
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.0000 0.94196 1.000 0.000 0.000 0.000 0.000
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 4 0.0771 0.78643 0.000 0.020 0.000 0.976 0.004
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 5 0.6114 0.35903 0.000 0.192 0.000 0.244 0.564
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.0000 0.94196 1.000 0.000 0.000 0.000 0.000
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 4 0.0833 0.78463 0.016 0.004 0.000 0.976 0.004
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 4 0.2068 0.73477 0.092 0.000 0.000 0.904 0.004
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 3 0.0000 0.89203 0.000 0.000 1.000 0.000 0.000
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.0566 0.93515 0.984 0.000 0.000 0.012 0.004
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 3 0.0000 0.89203 0.000 0.000 1.000 0.000 0.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 4 0.4637 0.51129 0.036 0.292 0.000 0.672 0.000
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.3305 0.64595 0.000 0.776 0.224 0.000 0.000
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.0510 0.93475 0.984 0.000 0.000 0.016 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.0000 0.94196 1.000 0.000 0.000 0.000 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 1 0.0000 0.94196 1.000 0.000 0.000 0.000 0.000
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0000 0.94196 1.000 0.000 0.000 0.000 0.000
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 5 0.3384 0.62905 0.056 0.084 0.000 0.008 0.852
#> 83453F80-8A68-4A3C-995D-85CFB1011249 3 0.3949 0.46777 0.000 0.332 0.668 0.000 0.000
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 2 0.2852 0.74712 0.000 0.828 0.000 0.172 0.000
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.0324 0.93883 0.992 0.000 0.000 0.004 0.004
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 5 0.2389 0.58644 0.000 0.004 0.000 0.116 0.880
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 1 0.0000 0.94196 1.000 0.000 0.000 0.000 0.000
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.0324 0.85684 0.000 0.992 0.000 0.004 0.004
#> 375FE390-434B-41D3-9029-84065B1D7B6F 4 0.0404 0.78626 0.000 0.012 0.000 0.988 0.000
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.0000 0.94196 1.000 0.000 0.000 0.000 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.3109 0.67567 0.000 0.800 0.200 0.000 0.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 3 0.4717 0.33298 0.000 0.020 0.584 0.396 0.000
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 5 0.4088 0.34599 0.000 0.000 0.368 0.000 0.632
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 5 0.3844 0.52965 0.000 0.004 0.256 0.004 0.736
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.0000 0.94196 1.000 0.000 0.000 0.000 0.000
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 3 0.0000 0.89203 0.000 0.000 1.000 0.000 0.000
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 4 0.6184 0.11211 0.000 0.140 0.000 0.480 0.380
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 1 0.0000 0.94196 1.000 0.000 0.000 0.000 0.000
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0000 0.89203 0.000 0.000 1.000 0.000 0.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.0000 0.94196 1.000 0.000 0.000 0.000 0.000
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.0000 0.89203 0.000 0.000 1.000 0.000 0.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 2 0.0290 0.86194 0.000 0.992 0.000 0.008 0.000
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.0000 0.89203 0.000 0.000 1.000 0.000 0.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.0000 0.89203 0.000 0.000 1.000 0.000 0.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 1 0.0000 0.94196 1.000 0.000 0.000 0.000 0.000
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 5 0.7082 0.23791 0.352 0.052 0.000 0.128 0.468
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.0000 0.94196 1.000 0.000 0.000 0.000 0.000
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 2 0.0771 0.85741 0.000 0.976 0.000 0.020 0.004
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 1 0.0000 0.94196 1.000 0.000 0.000 0.000 0.000
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.0000 0.94196 1.000 0.000 0.000 0.000 0.000
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 5 0.2632 0.63949 0.000 0.072 0.000 0.040 0.888
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.0000 0.85994 0.000 1.000 0.000 0.000 0.000
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 4 0.4505 0.49178 0.244 0.016 0.000 0.720 0.020
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.0000 0.89203 0.000 0.000 1.000 0.000 0.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.0000 0.94196 1.000 0.000 0.000 0.000 0.000
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 5 0.4410 0.16355 0.000 0.004 0.440 0.000 0.556
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 4 0.0880 0.78343 0.000 0.032 0.000 0.968 0.000
#> 208165C0-229B-49E2-A22A-575CA3157C9E 5 0.2516 0.63867 0.000 0.140 0.000 0.000 0.860
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 1 0.3636 0.62579 0.728 0.000 0.000 0.272 0.000
#> 01397021-8495-4D89-885A-166B4DBA0122 3 0.0000 0.89203 0.000 0.000 1.000 0.000 0.000
#> D0D8DB64-3D03-42B1-B260-0E1498F71288 3 0.0000 0.89203 0.000 0.000 1.000 0.000 0.000
#> 69FDFC91-8C4D-4018-BFF7-74BBEFBBACA8 1 0.0000 0.94196 1.000 0.000 0.000 0.000 0.000
#> EFC6C5AE-79F6-4950-8609-C6FFA9641B4B 2 0.3508 0.65797 0.000 0.748 0.000 0.252 0.000
#> FE9B062E-FCC6-4162-8935-4ADDF13EBCE2 3 0.5625 0.40990 0.000 0.204 0.636 0.000 0.160
#> 88A6D5D6-1945-431B-9602-A10CE85E6C32 3 0.0880 0.87020 0.000 0.000 0.968 0.032 0.000
#> AA569A06-0F37-4492-93F3-60A4539A3E82 4 0.0693 0.78486 0.000 0.012 0.000 0.980 0.008
#> BC53FB75-94CA-48C3-875B-5987037D186F 3 0.4462 0.49106 0.000 0.016 0.672 0.004 0.308
#> 2CC12AB2-4F73-4A38-ABA4-8A99CE19F4C4 1 0.0000 0.94196 1.000 0.000 0.000 0.000 0.000
#> EFF0BDF9-A034-4B5D-A420-480D9B9CE1CA 5 0.4597 0.21204 0.000 0.012 0.424 0.000 0.564
#> 202C4CE1-619D-4AB9-9F91-7E4EE1C5B14D 5 0.6469 0.18786 0.000 0.380 0.000 0.184 0.436
#> DF67F589-A607-4B95-96B8-4BB344132312 3 0.1792 0.82932 0.000 0.000 0.916 0.084 0.000
#> A65233E6-C146-4ACF-8DDE-5FB12D8D9637 3 0.0000 0.89203 0.000 0.000 1.000 0.000 0.000
#> 7578C9A3-FFF8-45C4-AC28-1C6141A9A2AD 1 0.0000 0.94196 1.000 0.000 0.000 0.000 0.000
#> 4DF775B9-E2FE-4F5E-8329-C37E21C5D10E 5 0.6342 0.20888 0.024 0.000 0.404 0.088 0.484
#> 5E6B86C6-3D79-47BB-9FAF-CA22659CFEA7 4 0.4114 0.34631 0.376 0.000 0.000 0.624 0.000
#> 53286128-668B-47EA-9A5F-D768FDCCBE88 1 0.4742 0.49271 0.648 0.008 0.000 0.020 0.324
#> 01C9F351-97FE-4037-A879-9D96A3DD3FBB 3 0.0000 0.89203 0.000 0.000 1.000 0.000 0.000
#> 5487DB21-6A58-46AC-A2A1-E343082D41D8 1 0.0000 0.94196 1.000 0.000 0.000 0.000 0.000
#> 0FB3E997-4E31-4FA6-9654-11C3C0AF8D86 2 0.0324 0.85684 0.000 0.992 0.000 0.004 0.004
#> A0706E80-FDF9-4721-BEB4-90527F6D38C4 2 0.0740 0.85251 0.000 0.980 0.004 0.008 0.008
#> 5260226E-1826-4F54-8237-28993DD2EF04 3 0.0000 0.89203 0.000 0.000 1.000 0.000 0.000
#> F53F71A7-A399-49AB-8657-019C5C56F48C 5 0.3961 0.53660 0.000 0.000 0.248 0.016 0.736
#> 008159F2-5247-479A-8BFE-C394888D0B74 4 0.4030 0.39966 0.000 0.352 0.000 0.648 0.000
#> 9E6BA6FB-35F2-4510-94AE-3E7CDFED3D47 3 0.0000 0.89203 0.000 0.000 1.000 0.000 0.000
#> F12BE7AC-D2DD-4AD1-AB37-32DC85954F59 5 0.6266 0.04188 0.152 0.000 0.000 0.376 0.472
#> 38A6BA1F-B444-4155-A168-EC2DF0EE0785 1 0.2732 0.78783 0.840 0.000 0.000 0.160 0.000
#> B107D1DE-EE52-4E89-B75A-91124BFF99AE 3 0.0000 0.89203 0.000 0.000 1.000 0.000 0.000
#> D4D16D09-8895-4BEA-ABF7-F11C5D5BDCAA 1 0.0000 0.94196 1.000 0.000 0.000 0.000 0.000
#> 9A53C473-1364-4BB6-AD36-EF53E0208450 1 0.0000 0.94196 1.000 0.000 0.000 0.000 0.000
#> F00C0ED6-C811-4F32-BDB4-4ACA7861DC7D 2 0.0000 0.85994 0.000 1.000 0.000 0.000 0.000
#> 72618985-CD49-4B6F-8CB0-5EE590FAD09A 4 0.3530 0.66965 0.000 0.012 0.000 0.784 0.204
#> 978A315F-CCE9-4D03-A680-C0AD60B10557 2 0.1341 0.84065 0.000 0.944 0.000 0.056 0.000
#> B6EACAED-3944-4510-B685-0BB8D1651D4F 1 0.0000 0.94196 1.000 0.000 0.000 0.000 0.000
#> EBCF16B4-A804-45EB-8253-0F28A2645729 1 0.6861 -0.18231 0.416 0.000 0.276 0.004 0.304
#> 637DC441-4A75-4DA8-8F65-91FDB5F103C7 3 0.1121 0.84584 0.044 0.000 0.956 0.000 0.000
#> 89F67654-A246-4307-9B17-4A1C01DB1AED 2 0.0000 0.85994 0.000 1.000 0.000 0.000 0.000
#> 3A8EB57B-71ED-4169-A8EB-624C67CDBBE1 3 0.3816 0.51237 0.000 0.304 0.696 0.000 0.000
#> CC4DA9C6-CAB2-44FF-8219-D293ECD07DD4 3 0.6833 -0.10634 0.248 0.000 0.412 0.004 0.336
#> AEC4FDAA-8F60-43CE-8EBB-5629FA662F16 2 0.0290 0.86194 0.000 0.992 0.000 0.008 0.000
#> BFC0D795-64F4-48B3-AD08-8C564E5E5367 1 0.3967 0.62888 0.724 0.000 0.000 0.012 0.264
#> 907BBBA4-4E7B-4808-892E-F80525C3CFA3 4 0.3160 0.68726 0.000 0.004 0.000 0.808 0.188
#> 7F21FA19-1468-4A65-A10A-A9727218A5EF 1 0.0000 0.94196 1.000 0.000 0.000 0.000 0.000
#> 905A026A-0B13-4AD3-B2BB-9A5AE76920AF 4 0.0404 0.78626 0.000 0.012 0.000 0.988 0.000
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#> 35EDCB52-D4B5-4305-8A74-95EFE6F2BFB1 1 0.3048 0.76172 0.820 0.000 0.000 0.004 0.176
#> D5D18AF8-9CC2-496C-A83A-31BBA0195CFD 1 0.5234 0.19385 0.524 0.004 0.000 0.036 0.436
#> 03767EDF-2F8A-41DE-8D80-F4BE861225A3 5 0.2873 0.64779 0.012 0.092 0.008 0.008 0.880
#> 586BC656-AD9C-44EF-9ED4-87DEEB5C8AA6 1 0.0000 0.94196 1.000 0.000 0.000 0.000 0.000
#> 23CA1146-CB1B-4054-A4FF-200B87444BF9 1 0.0290 0.93827 0.992 0.000 0.000 0.008 0.000
#> 910E9B6D-E7D5-4C83-A19C-1EEA6E135639 4 0.2068 0.73495 0.092 0.004 0.000 0.904 0.000
#> F36353A3-6CE6-4347-A78B-0AAD8FAB14AD 1 0.0000 0.94196 1.000 0.000 0.000 0.000 0.000
#> 2045736E-7D0F-4B17-B74B-3B12AEE3E68C 1 0.0290 0.93827 0.992 0.000 0.000 0.008 0.000
#> 5EFA2C2D-30B3-4D66-9601-354711F9FC56 3 0.0000 0.89203 0.000 0.000 1.000 0.000 0.000
#> 3FBD381D-84C8-4680-980B-CC4B7924BE06 2 0.0290 0.86194 0.000 0.992 0.000 0.008 0.000
#> BF5EDBDA-D434-440E-84E8-200FA7A47DBA 5 0.3835 0.53778 0.000 0.244 0.000 0.012 0.744
#> 244FC1FD-8C72-4581-8BF4-5AA90335024C 1 0.0000 0.94196 1.000 0.000 0.000 0.000 0.000
#> 9C8E5679-BAE2-4DD1-BAC4-0FEE3C6C023E 2 0.0404 0.86153 0.000 0.988 0.000 0.012 0.000
#> 563D6436-E370-45A5-BC2C-5AC574B7B202 2 0.0451 0.85528 0.000 0.988 0.004 0.008 0.000
#> C9B7BCC3-AA72-4D73-AE53-539495DC7695 1 0.0000 0.94196 1.000 0.000 0.000 0.000 0.000
#> 730CA517-8503-4D09-A579-1D2BC4E791C5 3 0.2852 0.74246 0.000 0.000 0.828 0.000 0.172
#> 01433209-FEC0-4140-B17B-F2B7C6B73B90 2 0.3395 0.67709 0.000 0.764 0.000 0.236 0.000
#> 326FB6A5-33C8-4613-AFC4-88251E05E27D 1 0.6124 0.01138 0.460 0.000 0.000 0.128 0.412
#> A3343F40-F977-4F9B-856A-28781F10F4CD 4 0.1211 0.78152 0.000 0.024 0.016 0.960 0.000
#> DA144299-5541-47D7-A59E-C92896DF08FC 1 0.0404 0.93723 0.988 0.000 0.000 0.012 0.000
#> 533E1401-49D4-44C4-9242-1ADEFEFD6BDD 2 0.2700 0.78606 0.000 0.884 0.024 0.004 0.088
#> DF842B1B-8491-4D38-8C37-2BEAB7FD19F6 1 0.0290 0.93862 0.992 0.000 0.000 0.008 0.000
#> 617447CF-9327-4062-B22C-71A8944C948F 2 0.0290 0.86194 0.000 0.992 0.000 0.008 0.000
#> 7A728862-43EB-4965-85D0-B92AF8DE1FE1 1 0.0000 0.94196 1.000 0.000 0.000 0.000 0.000
#> 45EF606B-03F7-4A96-B57F-49011BF1A432 2 0.3184 0.77083 0.000 0.852 0.100 0.048 0.000
#> 4C5AD9C1-92A0-442C-AC7F-45D82135816B 1 0.0955 0.92416 0.968 0.000 0.000 0.028 0.004
#> B21F6C51-D5B6-4B2B-A86C-D9461AB3286A 2 0.3957 0.56268 0.000 0.712 0.280 0.008 0.000
#> 9D19D674-82CE-4F8F-BDEC-995FC4BDC96E 1 0.0000 0.94196 1.000 0.000 0.000 0.000 0.000
#> 14E2C0A7-16AB-4043-A612-EB2B5F4F8DCD 3 0.0000 0.89203 0.000 0.000 1.000 0.000 0.000
#> D54DD4DE-9D83-4A74-BDFF-B33BB61C7EF9 2 0.0404 0.86153 0.000 0.988 0.000 0.012 0.000
#> F0346BCF-0476-4E23-BAF7-BE28631BDB87 3 0.0000 0.89203 0.000 0.000 1.000 0.000 0.000
#> 0383D3ED-2DA2-4AAE-B51E-5F5CC7B59BF6 1 0.4688 0.51656 0.660 0.008 0.000 0.020 0.312
#> A6C3205B-EBE5-4EB6-8FE7-A3066584A004 1 0.0290 0.93713 0.992 0.000 0.008 0.000 0.000
#> 69365512-8052-4BEA-B60D-9E065DD436BB 2 0.0451 0.86176 0.000 0.988 0.004 0.008 0.000
#> C4115DCA-BFDC-4D03-8FA6-BEC586A8055F 1 0.0000 0.94196 1.000 0.000 0.000 0.000 0.000
#> 8FA989D7-3FBA-43B9-8D10-F2790E4A1B51 1 0.0290 0.93862 0.992 0.000 0.000 0.008 0.000
#> 33B4651E-E24C-4D44-AEA3-CF74BA9243A7 3 0.0000 0.89203 0.000 0.000 1.000 0.000 0.000
#> D80096DE-AB23-41A1-8E66-FB4A52E18E65 3 0.0162 0.88935 0.000 0.004 0.996 0.000 0.000
#> 189C58F3-D26A-401F-ABD0-C11DEE3429B6 1 0.0000 0.94196 1.000 0.000 0.000 0.000 0.000
#> 960553FF-66E7-4495-8B6B-A600FEABEA1D 3 0.2966 0.72807 0.000 0.000 0.816 0.000 0.184
#> 6A7DA4D5-0261-4458-9074-E1C96E35FFD1 1 0.0324 0.93907 0.992 0.000 0.000 0.004 0.004
#> DA1301D3-1F84-46C5-AB44-079493A81A51 5 0.6939 0.32871 0.284 0.000 0.252 0.012 0.452
#> A12B1681-B598-40C3-80FE-1801F3F1189D 4 0.1571 0.76399 0.060 0.000 0.000 0.936 0.004
#> 926C657E-2BCD-4D54-B954-7F7273DA601D 5 0.2753 0.63866 0.000 0.136 0.000 0.008 0.856
#> B0D232EB-6239-4EE3-B27E-6A409A30EFC5 4 0.1673 0.78277 0.032 0.016 0.000 0.944 0.008
#> 50E96AE4-080D-475B-BDA4-CAC30446550D 3 0.0794 0.87341 0.000 0.028 0.972 0.000 0.000
#> 96BEECEA-56DE-4DA3-A860-443C65AA8D56 2 0.3109 0.72185 0.000 0.800 0.000 0.200 0.000
#> EC0C08FA-0C1A-4C30-AC46-836A6464F129 1 0.0000 0.94196 1.000 0.000 0.000 0.000 0.000
#> 247B7DD3-C5DE-4D54-B24E-D2FB54397EA7 3 0.3209 0.72047 0.000 0.000 0.812 0.180 0.008
#> 8E51F705-1ABF-48AE-856F-A6E0AB15409C 3 0.0000 0.89203 0.000 0.000 1.000 0.000 0.000
#> 1D0379B1-0E99-4E6D-B890-907C92860654 4 0.2864 0.71299 0.000 0.012 0.000 0.852 0.136
#> 94304CF6-0888-4C8D-9275-1CADF15DA5BE 2 0.4504 0.17931 0.000 0.564 0.000 0.008 0.428
#> B61FE039-6110-4CE0-B365-CC40D48D6B2E 4 0.2046 0.76464 0.000 0.068 0.000 0.916 0.016
#> 5A2BD967-B096-4D86-9640-5AC8617BB562 2 0.0703 0.85808 0.000 0.976 0.000 0.024 0.000
#> B1BF3F05-72EE-481B-A2D5-0ED44C214B18 1 0.0000 0.94196 1.000 0.000 0.000 0.000 0.000
#> EA8FAF8A-02F0-4E38-A9EF-929D300481B4 2 0.0290 0.86194 0.000 0.992 0.000 0.008 0.000
#> 33A7B81D-7ACF-4857-B009-9A5C39FD1B51 1 0.0000 0.94196 1.000 0.000 0.000 0.000 0.000
#> ECC40A03-488E-4076-8A3A-234D968623AD 3 0.4166 0.47618 0.000 0.000 0.648 0.348 0.004
#> 4831F38A-EEC7-4F5F-AF41-F9D2FC9FB883 1 0.0000 0.94196 1.000 0.000 0.000 0.000 0.000
#> D3B955AA-F27A-483A-9314-75277253EE6F 2 0.0290 0.86194 0.000 0.992 0.000 0.008 0.000
#> 2EF2AE2B-5A0D-4BF0-8572-E0DFC46A3E2B 1 0.0162 0.94002 0.996 0.000 0.004 0.000 0.000
#> 766D5820-4C4A-4A9E-8059-97B66F19FB9F 2 0.0290 0.86194 0.000 0.992 0.000 0.008 0.000
#> AC376BBB-667B-4469-B567-9BE18DE0F811 1 0.0000 0.94196 1.000 0.000 0.000 0.000 0.000
#> B1766E6F-A168-4614-9AAD-CDD25940C65D 2 0.4812 0.38505 0.000 0.600 0.028 0.372 0.000
#> 99982293-0EF8-4436-9698-4BD38CE70D15 1 0.0000 0.94196 1.000 0.000 0.000 0.000 0.000
#> 6793C974-75B7-453A-927B-1B18170E6575 1 0.0000 0.94196 1.000 0.000 0.000 0.000 0.000
#> 4B3D8B07-8B44-45F3-BE30-A0B6EDBF8265 2 0.0290 0.86194 0.000 0.992 0.000 0.008 0.000
#> 25A22E08-ED35-4AA7-B7D0-E5CC4250819A 1 0.0404 0.93709 0.988 0.000 0.000 0.012 0.000
#> 46109227-4BBE-4AD5-9424-0501CD2DFA56 2 0.0162 0.86112 0.000 0.996 0.000 0.004 0.000
#> 8746C64F-72F0-4C9B-A432-86E6D3032BE8 3 0.0000 0.89203 0.000 0.000 1.000 0.000 0.000
#> DE07A1D6-BB63-48A7-A979-5E083C4978FA 3 0.0000 0.89203 0.000 0.000 1.000 0.000 0.000
#> CF5D9992-C3A9-4021-BC18-34872365B3E0 3 0.0000 0.89203 0.000 0.000 1.000 0.000 0.000
#> 2AE62B97-7D80-4F51-9547-3F46C05E7E02 4 0.1082 0.78406 0.028 0.008 0.000 0.964 0.000
#> C993C7F2-F57B-47B0-8BC8-613A54B72A08 3 0.2886 0.76191 0.000 0.000 0.844 0.008 0.148
#> CED2BD1A-413D-440F-8409-04C67A8DE9AB 2 0.0290 0.86194 0.000 0.992 0.000 0.008 0.000
#> 479A968D-4692-404B-A866-B74E7DD17995 2 0.0510 0.85437 0.000 0.984 0.016 0.000 0.000
#> FAE43DA9-4D31-4879-B2DA-F981B8422FC9 2 0.0703 0.85807 0.000 0.976 0.000 0.024 0.000
#> 74C2EEFA-FDA5-4402-B78F-48068E334E8B 1 0.0000 0.94196 1.000 0.000 0.000 0.000 0.000
#> 6D6AB835-5EBE-475B-ADEC-4295AC92355C 1 0.0000 0.94196 1.000 0.000 0.000 0.000 0.000
#> 11627E90-41E6-4974-B27D-F3E2B7C83C9A 1 0.0000 0.94196 1.000 0.000 0.000 0.000 0.000
#> 90863585-0CDA-445F-BBD8-70946DFEAD8C 1 0.0000 0.94196 1.000 0.000 0.000 0.000 0.000
#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 3 0.6092 0.53986 0.000 0.152 0.672 0.080 0.096
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.1197 0.84615 0.000 0.952 0.000 0.048 0.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 1 0.3496 0.72736 0.788 0.000 0.000 0.012 0.200
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 3 0.4886 0.07958 0.000 0.468 0.512 0.004 0.016
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.1270 0.90433 0.948 0.000 0.000 0.000 0.052
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.0000 0.94196 1.000 0.000 0.000 0.000 0.000
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.89203 0.000 0.000 1.000 0.000 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.0000 0.94196 1.000 0.000 0.000 0.000 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 6B0D80D5-401D-4D0B-BE6C-BF72E9277E17 1 0.1088 0.8958 0.960 0.000 0.000 0.024 0.016 0.000
#> CEAE6F08-86C2-4A63-B837-F2FF71C262E9 3 0.0000 0.9234 0.000 0.000 1.000 0.000 0.000 0.000
#> 5C28442C-27A3-4C42-A796-9F8BF214D879 1 0.1781 0.8819 0.924 0.000 0.000 0.008 0.008 0.060
#> 85252141-5469-4F68-8F3F-934F8B3277E5 1 0.4040 0.7839 0.756 0.000 0.000 0.112 0.132 0.000
#> C56DFAA3-8513-48BB-AFC6-0F59279E1118 1 0.1492 0.8694 0.940 0.000 0.000 0.000 0.024 0.036
#> 1B76089D-785F-4353-A898-4E632023D482 1 0.0632 0.8879 0.976 0.000 0.000 0.000 0.024 0.000
#> 217D7D83-BB91-4A1E-97F5-0EC9B24F584D 4 0.2950 0.6745 0.024 0.000 0.000 0.828 0.148 0.000
#> 6C3AA543-4382-4B03-9F9E-134B1EDB1F8D 5 0.5911 0.5510 0.008 0.044 0.000 0.196 0.620 0.132
#> D6FE399E-BA3B-4B31-ACC8-2DBEB9984EF7 1 0.0777 0.8866 0.972 0.000 0.000 0.000 0.024 0.004
#> 1B0E943E-3EEE-411F-93CE-4014A35B0889 4 0.2622 0.7001 0.024 0.000 0.000 0.868 0.104 0.004
#> 33EBCF7D-E8F7-4FB0-AFFF-86CDF7685C23 4 0.2994 0.6861 0.064 0.000 0.000 0.852 0.080 0.004
#> 951D0A4E-4080-4898-8A8F-AFA74F2961AF 3 0.0000 0.9234 0.000 0.000 1.000 0.000 0.000 0.000
#> 4FE5292C-BEE4-4409-B01C-6EB276A6552C 1 0.3435 0.8298 0.804 0.000 0.000 0.060 0.136 0.000
#> 4A0BCB85-73E0-4371-8437-709BF899DA42 3 0.0000 0.9234 0.000 0.000 1.000 0.000 0.000 0.000
#> F781B4BA-5514-4CDB-A49A-C62B70B00B9C 4 0.5369 0.5222 0.024 0.180 0.000 0.648 0.148 0.000
#> 7C3FC027-2373-473F-9AA4-C73D36D44C8C 2 0.0865 0.8841 0.000 0.964 0.036 0.000 0.000 0.000
#> 1314E8FA-5020-42BF-BE50-8785EBD66558 1 0.3396 0.8349 0.812 0.000 0.000 0.072 0.116 0.000
#> 83D11444-C029-4152-996B-444997C20DB5 1 0.2997 0.8579 0.844 0.000 0.000 0.060 0.096 0.000
#> 5AC193EA-E5E4-4F76-8E88-0DC317995690 1 0.0632 0.8879 0.976 0.000 0.000 0.000 0.024 0.000
#> DCFB0E0C-2E85-4E26-86FC-1E16910A8345 1 0.0260 0.8937 0.992 0.000 0.000 0.000 0.008 0.000
#> E0A39CEE-BDDD-48F9-8F1E-717296911D0C 5 0.2738 0.6383 0.004 0.000 0.000 0.000 0.820 0.176
#> 83453F80-8A68-4A3C-995D-85CFB1011249 2 0.3547 0.4829 0.000 0.668 0.332 0.000 0.000 0.000
#> 96142C3B-C69E-4291-AA4D-395E23C2357F 2 0.5647 0.3367 0.024 0.580 0.000 0.280 0.116 0.000
#> 7A341F0F-D718-4827-8DAA-EE5AD2EC5623 1 0.2510 0.8746 0.872 0.000 0.000 0.028 0.100 0.000
#> 69BA18B1-59F7-4044-82D6-CEEB4F30CEB0 6 0.2112 0.7437 0.000 0.000 0.000 0.088 0.016 0.896
#> 1F9D1DC9-0188-441A-840A-DBBAF0F26E6B 1 0.2094 0.8631 0.908 0.000 0.000 0.008 0.016 0.068
#> 3231368A-AE1B-4B1B-A53D-E2675FBBE4C3 2 0.0000 0.8951 0.000 1.000 0.000 0.000 0.000 0.000
#> 375FE390-434B-41D3-9029-84065B1D7B6F 4 0.1500 0.6748 0.000 0.000 0.000 0.936 0.012 0.052
#> DECE8689-EAA9-4372-A640-4F76609EC77D 1 0.2328 0.8818 0.892 0.000 0.000 0.052 0.056 0.000
#> F26B08FB-9B8D-4637-B4F8-3A80F15348EF 2 0.0632 0.8894 0.000 0.976 0.024 0.000 0.000 0.000
#> A03E7A20-7234-4243-8E87-0D017B17A700 3 0.4828 0.3300 0.000 0.000 0.568 0.384 0.016 0.032
#> D6CDB3AE-4BA8-441B-8749-0625B36D9F73 6 0.1411 0.7183 0.000 0.000 0.004 0.000 0.060 0.936
#> 357C1FC3-5038-4BD3-A629-C31E97A7B6A3 6 0.1628 0.7347 0.000 0.012 0.004 0.008 0.036 0.940
#> C43E68D2-EECE-4D6B-98F4-A437641EA9F1 1 0.0547 0.8894 0.980 0.000 0.000 0.000 0.020 0.000
#> B8546D2D-970C-424A-884A-D4C2C5EFF848 3 0.0458 0.9147 0.000 0.000 0.984 0.000 0.000 0.016
#> 38C34241-C334-45A2-93AA-23A140ED3DFA 5 0.4710 0.2841 0.024 0.020 0.000 0.360 0.596 0.000
#> 4A3A9B6E-B042-41C7-ADAA-B383790B3570 1 0.0547 0.8894 0.980 0.000 0.000 0.000 0.020 0.000
#> 0757CEFA-5DEB-41AD-BDB6-1B9E0582B9E1 3 0.0000 0.9234 0.000 0.000 1.000 0.000 0.000 0.000
#> D0E85A9F-15F8-4417-81BC-42E5D598DE15 1 0.1245 0.8955 0.952 0.000 0.000 0.016 0.032 0.000
#> 0C908244-8F83-4EBF-B6A3-D3BDB4E0F50C 3 0.0000 0.9234 0.000 0.000 1.000 0.000 0.000 0.000
#> 64BCA9CA-9AA0-4A18-AE31-831447738629 2 0.0260 0.8944 0.000 0.992 0.000 0.000 0.008 0.000
#> 1F522CB6-4C85-49E2-A0AA-29C02B212DA1 3 0.0000 0.9234 0.000 0.000 1.000 0.000 0.000 0.000
#> 7B8D9B60-CAE7-4539-9F75-344FB4551249 3 0.0000 0.9234 0.000 0.000 1.000 0.000 0.000 0.000
#> 906CBD77-BD00-4199-B56C-E525C9509442 1 0.0547 0.8897 0.980 0.000 0.000 0.000 0.020 0.000
#> 3B4A0036-D92D-493D-9EFD-470CC3035E9E 5 0.2648 0.6938 0.040 0.008 0.000 0.064 0.884 0.004
#> 3FD06F86-D73C-40FD-8E6F-034DF97AA078 1 0.0547 0.8894 0.980 0.000 0.000 0.000 0.020 0.000
#> 112132FF-AA09-4F39-9804-4A4939FDA22B 2 0.2429 0.8411 0.008 0.896 0.000 0.064 0.028 0.004
#> FE8652A7-7AF4-4AE9-ADBE-229F6E6278BE 1 0.1909 0.8747 0.920 0.000 0.000 0.024 0.004 0.052
#> 8854A877-96C1-441F-9B58-143641CCBB43 1 0.0146 0.8941 0.996 0.000 0.000 0.000 0.004 0.000
#> 022080F3-6420-46F7-94C8-AE5AA5A936CB 6 0.3719 0.6820 0.000 0.024 0.000 0.068 0.096 0.812
#> B3F592C4-E026-4A01-B386-A200D01DB5BF 2 0.0000 0.8951 0.000 1.000 0.000 0.000 0.000 0.000
#> FE8AD1AF-D87E-47E9-9D22-EE89E6784586 5 0.4332 0.4384 0.048 0.000 0.000 0.288 0.664 0.000
#> 2A497A9F-ADFF-44D5-933C-278BB309DF70 3 0.0000 0.9234 0.000 0.000 1.000 0.000 0.000 0.000
#> 0DE47CE2-248A-4CAA-AC13-D667BB1E110F 1 0.2263 0.8851 0.896 0.000 0.000 0.056 0.048 0.000
#> 998EB112-5F31-49E2-8A4E-DC4F24C7E128 6 0.0993 0.7318 0.000 0.000 0.012 0.000 0.024 0.964
#> 5E63F693-8F47-4922-B25B-45E77716DAAB 4 0.1845 0.6626 0.000 0.072 0.000 0.916 0.008 0.004
#> 208165C0-229B-49E2-A22A-575CA3157C9E 6 0.2726 0.6773 0.000 0.032 0.000 0.000 0.112 0.856
#> 79F4CD43-12B4-4ECE-B40E-5208BFDF6E9C 4 0.5421 0.2315 0.340 0.000 0.000 0.528 0.132 0.000
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#> 89C9B0EC-B1D7-44B4-84A9-34A0D5E14E0A 2 0.5447 0.4240 0.000 0.600 0.028 0.060 0.008 0.304
#> 3CAE08CC-E9C7-49E7-8537-8FFF5ECEF617 2 0.1391 0.8794 0.000 0.944 0.000 0.040 0.016 0.000
#> EB2D043E-B722-4E95-A8FE-68E23171705A 5 0.4184 -0.1320 0.488 0.000 0.000 0.012 0.500 0.000
#> CB6AABCC-D34A-4FA9-BAA4-F48181050561 2 0.4611 0.7171 0.000 0.752 0.104 0.012 0.020 0.112
#> E591799F-4E62-43A1-8A8A-C261EE85E1ED 1 0.2408 0.8729 0.876 0.000 0.000 0.004 0.108 0.012
#> 68A22CB5-427C-4DD0-8483-1AC27BD6A049 1 0.0632 0.8879 0.976 0.000 0.000 0.000 0.024 0.000
#> 6E1D75D2-6467-4224-8FF4-97C44EDA9FCA 3 0.0000 0.9234 0.000 0.000 1.000 0.000 0.000 0.000
#> 3B700EE0-63A8-4880-BE03-BBC496F81979 1 0.0806 0.8885 0.972 0.000 0.000 0.008 0.020 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
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