Date: 2019-12-26 01:28:42 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 17109 rows and 500 columns.
#> Top rows are extracted by 'SD, CV, MAD, ATC' methods.
#> Subgroups are detected by 'hclust, kmeans, skmeans, pam, mclust, NMF' method.
#> Number of partitions are tried for k = 2, 3, 4, 5, 6.
#> Performed in total 30000 partitions by row resampling.
#>
#> Following methods can be applied to this 'ConsensusPartitionList' object:
#> [1] "cola_report" "collect_classes" "collect_plots" "collect_stats"
#> [5] "colnames" "functional_enrichment" "get_anno_col" "get_anno"
#> [9] "get_classes" "get_matrix" "get_membership" "get_stats"
#> [13] "is_best_k" "is_stable_k" "ncol" "nrow"
#> [17] "rownames" "show" "suggest_best_k" "test_to_known_factors"
#> [21] "top_rows_heatmap" "top_rows_overlap"
#>
#> You can get result for a single method by, e.g. object["SD", "hclust"] or object["SD:hclust"]
#> or a subset of methods by object[c("SD", "CV")], c("hclust", "kmeans")]
The call of run_all_consensus_partition_methods() was:
#> run_all_consensus_partition_methods(data = mat, mc.cores = cores)
Dimension of the input matrix:
mat = get_matrix(res_list)
dim(mat)
#> [1] 17109 500
The density distribution for each sample is visualized as in one column in the following heatmap. The clustering is based on the distance which is the Kolmogorov-Smirnov statistic between two distributions.
library(ComplexHeatmap)
densityHeatmap(mat, ylab = "value", cluster_columns = TRUE, show_column_names = FALSE,
mc.cores = 4)
Folowing table shows the best k (number of partitions) for each combination
of top-value methods and partition methods. Clicking on the method name in
the table goes to the section for a single combination of methods.
The cola vignette explains the definition of the metrics used for determining the best number of partitions.
suggest_best_k(res_list)
| The best k | 1-PAC | Mean silhouette | Concordance | Optional k | ||
|---|---|---|---|---|---|---|
| CV:mclust | 2 | 1.000 | 0.988 | 0.995 | ** | |
| MAD:mclust | 2 | 1.000 | 0.989 | 0.995 | ** | |
| SD:mclust | 2 | 1.000 | 0.982 | 0.991 | ** | |
| ATC:mclust | 2 | 0.991 | 0.949 | 0.979 | ** | |
| ATC:pam | 2 | 0.936 | 0.951 | 0.977 | * | |
| MAD:pam | 3 | 0.927 | 0.916 | 0.969 | * | |
| ATC:kmeans | 3 | 0.923 | 0.925 | 0.970 | * | |
| ATC:skmeans | 5 | 0.912 | 0.890 | 0.935 | * | 2,3 |
| ATC:NMF | 3 | 0.898 | 0.912 | 0.964 | ||
| CV:NMF | 4 | 0.847 | 0.863 | 0.944 | ||
| CV:skmeans | 2 | 0.826 | 0.900 | 0.958 | ||
| MAD:NMF | 2 | 0.807 | 0.891 | 0.955 | ||
| SD:skmeans | 2 | 0.799 | 0.888 | 0.954 | ||
| MAD:skmeans | 2 | 0.793 | 0.876 | 0.951 | ||
| CV:pam | 4 | 0.792 | 0.841 | 0.918 | ||
| SD:pam | 2 | 0.757 | 0.914 | 0.960 | ||
| CV:hclust | 2 | 0.703 | 0.871 | 0.932 | ||
| MAD:kmeans | 2 | 0.657 | 0.843 | 0.921 | ||
| SD:NMF | 3 | 0.655 | 0.828 | 0.906 | ||
| CV:kmeans | 3 | 0.609 | 0.835 | 0.911 | ||
| SD:kmeans | 2 | 0.555 | 0.887 | 0.931 | ||
| ATC:hclust | 2 | 0.270 | 0.673 | 0.822 | ||
| SD:hclust | 3 | 0.214 | 0.605 | 0.768 | ||
| MAD:hclust | 3 | 0.166 | 0.584 | 0.739 |
**: 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 0.679 0.914 0.949 0.403 0.574 0.574
#> CV:NMF 2 0.687 0.852 0.932 0.406 0.562 0.562
#> MAD:NMF 2 0.807 0.891 0.955 0.457 0.548 0.548
#> ATC:NMF 2 0.527 0.707 0.882 0.468 0.501 0.501
#> SD:skmeans 2 0.799 0.888 0.954 0.497 0.503 0.503
#> CV:skmeans 2 0.826 0.900 0.958 0.478 0.517 0.517
#> MAD:skmeans 2 0.793 0.876 0.951 0.498 0.504 0.504
#> ATC:skmeans 2 1.000 0.978 0.991 0.501 0.499 0.499
#> SD:mclust 2 1.000 0.982 0.991 0.167 0.842 0.842
#> CV:mclust 2 1.000 0.988 0.995 0.182 0.823 0.823
#> MAD:mclust 2 1.000 0.989 0.995 0.161 0.842 0.842
#> ATC:mclust 2 0.991 0.949 0.979 0.284 0.723 0.723
#> SD:kmeans 2 0.555 0.887 0.931 0.408 0.574 0.574
#> CV:kmeans 2 0.682 0.880 0.943 0.314 0.675 0.675
#> MAD:kmeans 2 0.657 0.843 0.921 0.440 0.542 0.542
#> ATC:kmeans 2 0.761 0.831 0.858 0.490 0.503 0.503
#> SD:pam 2 0.757 0.914 0.960 0.453 0.554 0.554
#> CV:pam 2 0.660 0.885 0.944 0.238 0.788 0.788
#> MAD:pam 2 0.726 0.889 0.952 0.489 0.507 0.507
#> ATC:pam 2 0.936 0.951 0.977 0.490 0.507 0.507
#> SD:hclust 2 0.158 0.759 0.842 0.354 0.679 0.679
#> CV:hclust 2 0.703 0.871 0.932 0.316 0.670 0.670
#> MAD:hclust 2 0.137 0.718 0.820 0.339 0.675 0.675
#> ATC:hclust 2 0.270 0.673 0.822 0.407 0.515 0.515
get_stats(res_list, k = 3)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 3 0.655 0.828 0.906 0.433 0.796 0.666
#> CV:NMF 3 0.699 0.776 0.909 0.538 0.689 0.501
#> MAD:NMF 3 0.544 0.766 0.870 0.308 0.794 0.652
#> ATC:NMF 3 0.898 0.912 0.964 0.313 0.601 0.381
#> SD:skmeans 3 0.517 0.627 0.814 0.322 0.722 0.506
#> CV:skmeans 3 0.786 0.843 0.935 0.352 0.754 0.559
#> MAD:skmeans 3 0.542 0.574 0.776 0.326 0.711 0.490
#> ATC:skmeans 3 0.923 0.929 0.970 0.323 0.725 0.504
#> SD:mclust 3 0.292 0.596 0.802 2.250 0.588 0.512
#> CV:mclust 3 0.546 0.855 0.903 1.959 0.582 0.502
#> MAD:mclust 3 0.307 0.660 0.824 2.338 0.599 0.526
#> ATC:mclust 3 0.339 0.675 0.793 0.847 0.676 0.572
#> SD:kmeans 3 0.659 0.824 0.906 0.362 0.755 0.615
#> CV:kmeans 3 0.609 0.835 0.911 0.633 0.762 0.664
#> MAD:kmeans 3 0.493 0.778 0.869 0.285 0.802 0.668
#> ATC:kmeans 3 0.923 0.925 0.970 0.182 0.590 0.384
#> SD:pam 3 0.784 0.894 0.955 0.183 0.910 0.839
#> CV:pam 3 0.584 0.818 0.914 1.071 0.722 0.653
#> MAD:pam 3 0.927 0.916 0.969 0.166 0.909 0.823
#> ATC:pam 3 0.826 0.865 0.945 0.229 0.895 0.795
#> SD:hclust 3 0.214 0.605 0.768 0.397 0.865 0.804
#> CV:hclust 3 0.657 0.793 0.890 0.126 0.985 0.977
#> MAD:hclust 3 0.166 0.584 0.739 0.479 0.910 0.868
#> ATC:hclust 3 0.246 0.505 0.732 0.343 0.584 0.411
get_stats(res_list, k = 4)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 4 0.627 0.736 0.868 0.2282 0.739 0.478
#> CV:NMF 4 0.847 0.863 0.944 0.1361 0.815 0.562
#> MAD:NMF 4 0.633 0.700 0.857 0.1962 0.744 0.471
#> ATC:NMF 4 0.536 0.572 0.781 0.1425 0.879 0.704
#> SD:skmeans 4 0.599 0.641 0.799 0.1172 0.839 0.585
#> CV:skmeans 4 0.799 0.811 0.922 0.0956 0.883 0.691
#> MAD:skmeans 4 0.638 0.521 0.764 0.1163 0.747 0.412
#> ATC:skmeans 4 0.816 0.800 0.916 0.1247 0.789 0.473
#> SD:mclust 4 0.348 0.381 0.655 0.2009 0.732 0.471
#> CV:mclust 4 0.518 0.712 0.838 0.1822 0.753 0.519
#> MAD:mclust 4 0.398 0.411 0.736 0.2396 0.716 0.465
#> ATC:mclust 4 0.551 0.751 0.868 0.0612 0.777 0.615
#> SD:kmeans 4 0.503 0.486 0.670 0.2366 0.804 0.598
#> CV:kmeans 4 0.697 0.710 0.876 0.2966 0.752 0.544
#> MAD:kmeans 4 0.503 0.562 0.766 0.2199 0.771 0.536
#> ATC:kmeans 4 0.657 0.656 0.819 0.1560 0.736 0.484
#> SD:pam 4 0.733 0.795 0.896 0.2300 0.828 0.651
#> CV:pam 4 0.792 0.841 0.918 0.2887 0.796 0.636
#> MAD:pam 4 0.603 0.698 0.842 0.1721 0.842 0.661
#> ATC:pam 4 0.727 0.843 0.932 0.0732 0.948 0.875
#> SD:hclust 4 0.243 0.546 0.687 0.1497 0.902 0.831
#> CV:hclust 4 0.600 0.756 0.869 0.1246 0.977 0.966
#> MAD:hclust 4 0.241 0.509 0.676 0.1780 0.813 0.704
#> ATC:hclust 4 0.314 0.527 0.692 0.1226 0.943 0.887
get_stats(res_list, k = 5)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 5 0.632 0.634 0.822 0.0878 0.841 0.532
#> CV:NMF 5 0.670 0.671 0.831 0.0760 0.874 0.618
#> MAD:NMF 5 0.630 0.619 0.813 0.0804 0.857 0.565
#> ATC:NMF 5 0.573 0.560 0.759 0.0677 0.880 0.662
#> SD:skmeans 5 0.858 0.843 0.936 0.0753 0.874 0.585
#> CV:skmeans 5 0.731 0.654 0.838 0.0920 0.877 0.619
#> MAD:skmeans 5 0.852 0.854 0.937 0.0715 0.869 0.567
#> ATC:skmeans 5 0.912 0.890 0.935 0.0577 0.830 0.467
#> SD:mclust 5 0.398 0.311 0.615 0.1153 0.778 0.424
#> CV:mclust 5 0.535 0.574 0.790 0.1425 0.789 0.492
#> MAD:mclust 5 0.391 0.440 0.646 0.0879 0.789 0.460
#> ATC:mclust 5 0.475 0.414 0.686 0.1854 0.740 0.482
#> SD:kmeans 5 0.690 0.711 0.835 0.1178 0.791 0.452
#> CV:kmeans 5 0.647 0.747 0.830 0.1254 0.765 0.425
#> MAD:kmeans 5 0.672 0.732 0.839 0.1132 0.839 0.535
#> ATC:kmeans 5 0.834 0.825 0.906 0.1019 0.748 0.412
#> SD:pam 5 0.714 0.636 0.825 0.1180 0.807 0.508
#> CV:pam 5 0.796 0.812 0.912 0.2039 0.823 0.550
#> MAD:pam 5 0.700 0.609 0.803 0.1061 0.818 0.530
#> ATC:pam 5 0.722 0.706 0.834 0.1349 0.856 0.638
#> SD:hclust 5 0.303 0.472 0.696 0.1008 0.962 0.924
#> CV:hclust 5 0.412 0.700 0.816 0.1809 0.980 0.970
#> MAD:hclust 5 0.275 0.385 0.650 0.0812 0.881 0.775
#> ATC:hclust 5 0.445 0.583 0.769 0.1351 0.750 0.495
get_stats(res_list, k = 6)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 6 0.687 0.658 0.810 0.0521 0.911 0.649
#> CV:NMF 6 0.685 0.648 0.787 0.0634 0.855 0.492
#> MAD:NMF 6 0.678 0.601 0.795 0.0513 0.906 0.630
#> ATC:NMF 6 0.724 0.726 0.857 0.0504 0.839 0.516
#> SD:skmeans 6 0.779 0.696 0.849 0.0437 0.941 0.738
#> CV:skmeans 6 0.752 0.727 0.868 0.0599 0.894 0.594
#> MAD:skmeans 6 0.770 0.693 0.813 0.0438 0.935 0.716
#> ATC:skmeans 6 0.859 0.719 0.860 0.0413 0.952 0.785
#> SD:mclust 6 0.378 0.463 0.688 0.0229 0.784 0.366
#> CV:mclust 6 0.647 0.721 0.820 0.0779 0.822 0.462
#> MAD:mclust 6 0.485 0.438 0.681 0.0586 0.888 0.612
#> ATC:mclust 6 0.625 0.765 0.857 0.0549 0.776 0.456
#> SD:kmeans 6 0.702 0.564 0.763 0.0495 0.930 0.721
#> CV:kmeans 6 0.653 0.667 0.795 0.0664 0.908 0.657
#> MAD:kmeans 6 0.702 0.599 0.799 0.0499 0.936 0.739
#> ATC:kmeans 6 0.679 0.578 0.777 0.0671 0.939 0.778
#> SD:pam 6 0.707 0.713 0.840 0.0448 0.956 0.829
#> CV:pam 6 0.714 0.665 0.832 0.0474 0.967 0.859
#> MAD:pam 6 0.676 0.701 0.832 0.0405 0.948 0.802
#> ATC:pam 6 0.862 0.845 0.933 0.0913 0.867 0.566
#> SD:hclust 6 0.322 0.370 0.658 0.0894 0.866 0.725
#> CV:hclust 6 0.343 0.614 0.748 0.1850 0.954 0.928
#> MAD:hclust 6 0.311 0.347 0.643 0.0605 0.890 0.772
#> ATC:hclust 6 0.466 0.526 0.747 0.0391 0.984 0.942
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 17109 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 0.158 0.759 0.842 0.3536 0.679 0.679
#> 3 3 0.214 0.605 0.768 0.3973 0.865 0.804
#> 4 4 0.243 0.546 0.687 0.1497 0.902 0.831
#> 5 5 0.303 0.472 0.696 0.1008 0.962 0.924
#> 6 6 0.322 0.370 0.658 0.0894 0.866 0.725
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
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.722 0.80294 0.200 0.800
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 2 0.494 0.85201 0.108 0.892
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 2 0.653 0.81658 0.168 0.832
#> 91202998-760F-4421-B1C4-18639962EDDA 2 0.958 0.47188 0.380 0.620
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.311 0.85663 0.056 0.944
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 2 0.430 0.84894 0.088 0.912
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 2 0.839 0.70888 0.268 0.732
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.224 0.85129 0.036 0.964
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.327 0.85570 0.060 0.940
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.204 0.85270 0.032 0.968
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 2 0.730 0.78349 0.204 0.796
#> 784B2359-6064-4FAA-9311-7A852F061FBB 2 0.753 0.68439 0.216 0.784
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 2 0.469 0.83928 0.100 0.900
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 2 0.494 0.85495 0.108 0.892
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 1 0.615 0.80390 0.848 0.152
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.443 0.85103 0.092 0.908
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.767 0.73937 0.776 0.224
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 2 0.388 0.85441 0.076 0.924
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 2 0.388 0.83805 0.076 0.924
#> A08E2707-DDB0-40FE-828F-14720768FB05 2 0.939 0.47917 0.356 0.644
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#> DAC07889-EE06-46E0-B1F1-833ECC0A48A9 2 0.163 0.84459 0.024 0.976
#> E7B555A3-567B-4A44-8225-D269E73FB50B 2 0.469 0.84819 0.100 0.900
#> 3CC95101-C35F-4761-9D41-3C35BD55B37E 2 0.224 0.84745 0.036 0.964
#> F62E5A69-5E81-4B2A-8CC0-F4D6E188B187 1 0.795 0.78700 0.760 0.240
#> C650633B-A369-4657-8693-FDFBF22BD34E 2 0.963 0.35931 0.388 0.612
#> 5E514217-F0DB-49FD-9C5D-EB22628ED297 2 0.118 0.84313 0.016 0.984
#> 6E1DB9BF-06FE-48B1-A2D8-EF2CE7591364 2 0.343 0.85583 0.064 0.936
#> C9581CE3-58B6-45B4-B4B7-15F555FD84A4 2 0.753 0.79026 0.216 0.784
#> F56C26ED-9358-485B-8867-EBA1CAA4E2A7 2 0.552 0.83637 0.128 0.872
#> 45CA3F9E-40EE-43A4-AE57-FE51D4003844 2 0.327 0.85976 0.060 0.940
#> 47EFA063-19C1-4E1F-ACE8-68D9BAD0B995 2 0.541 0.84688 0.124 0.876
#> 8C30EA0F-0DA1-43C7-81AE-DE825A53F114 2 0.961 0.43142 0.384 0.616
#> 2CE7477C-DD09-4B3A-AD65-C696BE8C9B11 1 0.738 0.75865 0.792 0.208
#> 4DECB19A-290F-4CEB-BE25-AAF9B9E2B58F 1 0.738 0.75291 0.792 0.208
#> 3DEA9B14-DF42-43A0-AC4A-32AE7A16218D 2 0.469 0.83928 0.100 0.900
#> 9F57D45B-C62F-44C5-AB9D-0CB54BBA16F5 2 0.552 0.82202 0.128 0.872
#> 54ACCFD9-A8D6-4E4C-9097-1A0BE258AA1B 1 0.808 0.78647 0.752 0.248
#> 9EE67DE9-9B56-4773-8F6A-1036D31F568E 2 0.494 0.85029 0.108 0.892
#> 1B1C9301-D6D6-4F6B-80A3-3603013AA951 2 0.358 0.84002 0.068 0.932
#> DDDCDF00-FB0A-477B-891B-2EE5E0C8F61E 1 0.615 0.80390 0.848 0.152
#> 34A3260D-AC4D-416F-ADF0-24013048BC46 2 0.605 0.82030 0.148 0.852
#> 671C1840-9C1B-4AC1-9564-78802489F763 1 0.844 0.68665 0.728 0.272
#> BA4F7841-9FC3-4CE6-ACA5-43FC36641640 1 0.808 0.78342 0.752 0.248
#> 24A02CE5-28E7-457E-8B90-4EACA528B072 2 1.000 0.01623 0.488 0.512
#> C7008665-F6DE-48B4-A0E7-6C388B72C609 2 0.184 0.84770 0.028 0.972
#> 50F984AB-95C1-4D7B-A787-418CBB59D165 2 0.738 0.79710 0.208 0.792
#> 5FFD2A6A-ED8A-44A9-9FC1-3106341C284A 2 0.141 0.84531 0.020 0.980
#> 7481630E-5CBA-4A4A-A16F-E327BCEE11D3 2 0.876 0.64672 0.296 0.704
#> 7B3E6643-C148-4266-A3A3-80BAB713DD3E 2 0.118 0.84313 0.016 0.984
#> BA8564FA-8D4D-4B2F-A178-63209F887A05 1 0.775 0.78347 0.772 0.228
#> 2FB578F6-E8B7-434D-9720-D448A26C1EFD 2 0.994 0.17047 0.456 0.544
#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 2 0.634 0.81746 0.160 0.840
#> 740FCE46-8A4A-4A6A-B79F-78A63D28E313 2 0.163 0.84196 0.024 0.976
#> 523A5832-0C42-44A4-A58F-7011C3A567DC 1 0.615 0.80390 0.848 0.152
#> A2C68C81-7371-4E0C-BFD1-EA868A7C9499 2 0.373 0.85764 0.072 0.928
#> 2EB7025A-D932-4238-BD60-609B25150029 2 0.653 0.81658 0.168 0.832
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 2 0.118 0.84313 0.016 0.984
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 2 0.278 0.85290 0.048 0.952
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 2 0.204 0.84780 0.032 0.968
#> F081EA01-ED14-491B-9620-BF8F10A7431D 2 0.430 0.85103 0.088 0.912
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 2 0.295 0.85321 0.052 0.948
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 2 0.595 0.84096 0.144 0.856
#> B54639CE-F721-4908-B758-309F148AD3C2 2 0.278 0.85288 0.048 0.952
#> EB4294E1-3FBC-495C-A041-829A654B59C5 1 0.615 0.80390 0.848 0.152
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 2 0.876 0.64672 0.296 0.704
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.118 0.84313 0.016 0.984
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 2 0.662 0.79465 0.172 0.828
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.118 0.84313 0.016 0.984
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 2 0.992 0.22905 0.448 0.552
#> D34036E4-1122-42AE-B20F-F4C8515872A0 2 0.118 0.84313 0.016 0.984
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 2 0.224 0.84637 0.036 0.964
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 2 0.946 0.50463 0.364 0.636
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 1 0.615 0.80390 0.848 0.152
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.163 0.84459 0.024 0.976
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.118 0.84313 0.016 0.984
#> F3C13430-405E-432E-8F3E-0DD18E86087E 2 0.469 0.85503 0.100 0.900
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.118 0.84613 0.016 0.984
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 2 0.866 0.67131 0.288 0.712
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.163 0.84459 0.024 0.976
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.184 0.84462 0.028 0.972
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 1 0.808 0.77748 0.752 0.248
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.416 0.84779 0.084 0.916
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 2 0.999 0.06054 0.480 0.520
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 2 0.767 0.77240 0.224 0.776
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 2 0.985 0.30454 0.428 0.572
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.469 0.84883 0.100 0.900
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 1 0.615 0.80390 0.848 0.152
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 1 0.615 0.80390 0.848 0.152
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 2 0.469 0.83928 0.100 0.900
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 2 0.494 0.85440 0.108 0.892
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.402 0.85062 0.080 0.920
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 2 0.494 0.85346 0.108 0.892
#> 343F031B-0095-429D-8212-AD0581DBB05B 2 0.891 0.63902 0.308 0.692
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 2 0.358 0.85425 0.068 0.932
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.775 0.78893 0.772 0.228
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 2 0.224 0.85097 0.036 0.964
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 2 0.644 0.82541 0.164 0.836
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 2 0.634 0.82214 0.160 0.840
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.456 0.84367 0.096 0.904
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.456 0.85488 0.096 0.904
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.184 0.84591 0.028 0.972
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 1 0.615 0.80390 0.848 0.152
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.963 0.44302 0.612 0.388
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 1 0.615 0.80390 0.848 0.152
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 2 0.584 0.83201 0.140 0.860
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 1 0.615 0.80390 0.848 0.152
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.118 0.84313 0.016 0.984
#> FC7821F4-6495-4545-A22A-764BB99B3F79 2 0.697 0.78053 0.188 0.812
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.118 0.84313 0.016 0.984
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.541 0.84705 0.124 0.876
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.456 0.85131 0.096 0.904
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.184 0.84575 0.028 0.972
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 2 0.722 0.79400 0.200 0.800
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 2 0.625 0.82349 0.156 0.844
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.260 0.85366 0.044 0.956
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 1 0.615 0.80390 0.848 0.152
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 2 0.827 0.72301 0.260 0.740
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.343 0.85590 0.064 0.936
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 2 0.983 0.31080 0.424 0.576
#> BEE081CA-8420-4314-88A0-286BB30FFD65 2 0.644 0.82902 0.164 0.836
#> C464CD1D-4519-48E8-A18A-403F691E5702 2 0.722 0.78525 0.200 0.800
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.738 0.75865 0.792 0.208
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.469 0.84846 0.100 0.900
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.163 0.84529 0.024 0.976
#> A563359B-0D55-4826-9229-62A89143C1C6 2 0.994 0.19769 0.456 0.544
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 2 0.855 0.67544 0.280 0.720
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.6501 0.57985 0.316 0.664 0.020
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 2 0.4782 0.74835 0.164 0.820 0.016
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 1 0.6345 0.13907 0.596 0.400 0.004
#> 91202998-760F-4421-B1C4-18639962EDDA 1 0.8100 0.28247 0.512 0.420 0.068
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.2959 0.76393 0.100 0.900 0.000
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 2 0.5202 0.71982 0.220 0.772 0.008
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 2 0.8119 0.15936 0.432 0.500 0.068
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.3272 0.75169 0.104 0.892 0.004
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.4531 0.74902 0.168 0.824 0.008
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.3851 0.75393 0.136 0.860 0.004
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 2 0.6931 0.51278 0.328 0.640 0.032
#> 784B2359-6064-4FAA-9311-7A852F061FBB 2 0.6522 0.40259 0.032 0.696 0.272
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 2 0.6518 0.21379 0.484 0.512 0.004
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 2 0.6224 0.69036 0.240 0.728 0.032
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.1015 0.84764 0.012 0.008 0.980
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.4802 0.73719 0.156 0.824 0.020
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.7238 0.33804 0.628 0.044 0.328
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 2 0.4615 0.74971 0.144 0.836 0.020
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 2 0.4206 0.70734 0.040 0.872 0.088
#> A08E2707-DDB0-40FE-828F-14720768FB05 2 0.9029 0.02873 0.352 0.504 0.144
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.4249 0.76113 0.108 0.864 0.028
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.5690 0.46417 0.288 0.708 0.004
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 2 0.6793 0.58196 0.292 0.672 0.036
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 3 0.7605 0.67741 0.192 0.124 0.684
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.4346 0.74037 0.184 0.816 0.000
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 2 0.6521 0.18639 0.496 0.500 0.004
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.4702 0.72405 0.212 0.788 0.000
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.3967 0.72470 0.044 0.884 0.072
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.1015 0.84764 0.012 0.008 0.980
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.6224 0.69036 0.240 0.728 0.032
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 2 0.3009 0.75981 0.052 0.920 0.028
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 2 0.6630 0.59322 0.300 0.672 0.028
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.2681 0.73736 0.028 0.932 0.040
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.1399 0.74476 0.028 0.968 0.004
#> 2846A3AC-D102-4E37-9B72-139ED727157A 2 0.2866 0.76030 0.076 0.916 0.008
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.5945 0.67318 0.236 0.740 0.024
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 1 0.8173 0.28851 0.508 0.420 0.072
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.8271 0.59555 0.632 0.156 0.212
#> 150F5B77-4848-4D68-800A-0A0236C3661F 2 0.4834 0.72457 0.204 0.792 0.004
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 2 0.8827 0.00834 0.384 0.496 0.120
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.1753 0.75996 0.048 0.952 0.000
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.1129 0.74257 0.020 0.976 0.004
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 1 0.8138 0.58412 0.644 0.152 0.204
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 2 0.5109 0.72704 0.212 0.780 0.008
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.5435 0.70187 0.192 0.784 0.024
#> 1447B543-D3AC-41B5-878F-B382FE49421B 2 0.8071 0.31922 0.360 0.564 0.076
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 2 0.7768 0.37998 0.344 0.592 0.064
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 2 0.6062 0.64771 0.276 0.708 0.016
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.0848 0.84752 0.008 0.008 0.984
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 2 0.5239 0.74035 0.160 0.808 0.032
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 2 0.4261 0.71011 0.140 0.848 0.012
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.8230 0.49044 0.608 0.112 0.280
#> D9225689-21E0-478A-8F79-C26542938B8D 2 0.4805 0.73441 0.176 0.812 0.012
#> FC3BA46D-57F6-424C-8D62-16C441035969 2 0.4062 0.75076 0.164 0.836 0.000
#> 045CFFE6-4736-42F2-9340-C37690E47882 3 0.0848 0.84752 0.008 0.008 0.984
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 1 0.6345 0.13907 0.596 0.400 0.004
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 2 0.5072 0.72772 0.196 0.792 0.012
#> E94B217F-C5DC-4F42-8135-E81F338914B5 2 0.5093 0.66241 0.076 0.836 0.088
#> AE4C3956-76DF-4059-8D69-3D764F31817F 2 0.3644 0.74093 0.124 0.872 0.004
#> 33D6A38E-CD99-437B-99E0-04E72582F777 2 0.5688 0.72922 0.168 0.788 0.044
#> 8379051C-5847-42B5-AC5C-A128C166AB97 2 0.4994 0.73493 0.160 0.816 0.024
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 2 0.4663 0.74560 0.156 0.828 0.016
#> 40A16429-229E-4F40-BFC7-263554438F99 2 0.4409 0.73760 0.172 0.824 0.004
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 2 0.4473 0.74035 0.164 0.828 0.008
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 2 0.4861 0.73239 0.192 0.800 0.008
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 1 0.9141 0.48580 0.488 0.360 0.152
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 2 0.6099 0.67759 0.228 0.740 0.032
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.2584 0.76088 0.064 0.928 0.008
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 2 0.5894 0.69390 0.220 0.752 0.028
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 2 0.4261 0.71011 0.140 0.848 0.012
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 2 0.2187 0.74484 0.024 0.948 0.028
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#> 24A02CE5-28E7-457E-8B90-4EACA528B072 1 0.9391 0.45267 0.456 0.368 0.176
#> C7008665-F6DE-48B4-A0E7-6C388B72C609 2 0.1989 0.74885 0.048 0.948 0.004
#> 50F984AB-95C1-4D7B-A787-418CBB59D165 2 0.7032 0.60728 0.272 0.676 0.052
#> 5FFD2A6A-ED8A-44A9-9FC1-3106341C284A 2 0.1989 0.74393 0.048 0.948 0.004
#> 7481630E-5CBA-4A4A-A16F-E327BCEE11D3 2 0.8212 0.26619 0.360 0.556 0.084
#> 7B3E6643-C148-4266-A3A3-80BAB713DD3E 2 0.1267 0.74402 0.024 0.972 0.004
#> BA8564FA-8D4D-4B2F-A178-63209F887A05 3 0.8221 0.45155 0.248 0.128 0.624
#> 2FB578F6-E8B7-434D-9720-D448A26C1EFD 1 0.9317 0.39195 0.448 0.388 0.164
#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 2 0.5945 0.65583 0.236 0.740 0.024
#> 740FCE46-8A4A-4A6A-B79F-78A63D28E313 2 0.3129 0.73013 0.088 0.904 0.008
#> 523A5832-0C42-44A4-A58F-7011C3A567DC 3 0.1015 0.84764 0.012 0.008 0.980
#> A2C68C81-7371-4E0C-BFD1-EA868A7C9499 2 0.3213 0.76031 0.092 0.900 0.008
#> 2EB7025A-D932-4238-BD60-609B25150029 1 0.6345 0.13907 0.596 0.400 0.004
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 2 0.2400 0.73721 0.064 0.932 0.004
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 2 0.2584 0.75905 0.064 0.928 0.008
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 2 0.1453 0.75002 0.024 0.968 0.008
#> F081EA01-ED14-491B-9620-BF8F10A7431D 2 0.5247 0.71389 0.224 0.768 0.008
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 2 0.2486 0.75921 0.060 0.932 0.008
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 2 0.5471 0.73350 0.128 0.812 0.060
#> B54639CE-F721-4908-B758-309F148AD3C2 2 0.4465 0.74108 0.176 0.820 0.004
#> EB4294E1-3FBC-495C-A041-829A654B59C5 3 0.1015 0.84764 0.012 0.008 0.980
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 2 0.8212 0.26479 0.360 0.556 0.084
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.1399 0.74128 0.028 0.968 0.004
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 2 0.6537 0.65556 0.196 0.740 0.064
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.1399 0.74128 0.028 0.968 0.004
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 2 0.9851 -0.27012 0.284 0.420 0.296
#> D34036E4-1122-42AE-B20F-F4C8515872A0 2 0.1765 0.74647 0.040 0.956 0.004
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 2 0.1620 0.74711 0.024 0.964 0.012
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 1 0.8039 0.25894 0.508 0.428 0.064
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 3 0.0848 0.84752 0.008 0.008 0.984
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.1129 0.74594 0.020 0.976 0.004
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.1399 0.74128 0.028 0.968 0.004
#> F3C13430-405E-432E-8F3E-0DD18E86087E 2 0.4784 0.73696 0.200 0.796 0.004
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.1289 0.75544 0.032 0.968 0.000
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 2 0.7905 0.28485 0.376 0.560 0.064
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.0983 0.74549 0.016 0.980 0.004
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.1337 0.74620 0.016 0.972 0.012
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 3 0.8571 0.25978 0.340 0.112 0.548
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.4209 0.74632 0.128 0.856 0.016
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.9377 0.42244 0.448 0.380 0.172
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 1 0.5623 0.41137 0.716 0.280 0.004
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 1 0.9217 0.37323 0.448 0.400 0.152
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.4749 0.73751 0.172 0.816 0.012
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.0848 0.84752 0.008 0.008 0.984
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.1015 0.84764 0.012 0.008 0.980
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 2 0.6521 0.20044 0.492 0.504 0.004
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 2 0.4700 0.74336 0.180 0.812 0.008
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.3590 0.75597 0.076 0.896 0.028
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 2 0.5536 0.71214 0.200 0.776 0.024
#> 343F031B-0095-429D-8212-AD0581DBB05B 2 0.7824 0.06117 0.444 0.504 0.052
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 2 0.4733 0.73408 0.196 0.800 0.004
#> 03A226C5-398D-41D2-BB72-C97A373CD512 3 0.7419 0.66849 0.232 0.088 0.680
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 2 0.2550 0.75641 0.056 0.932 0.012
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 2 0.6209 0.55877 0.368 0.628 0.004
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 2 0.5903 0.67604 0.232 0.744 0.024
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.4551 0.74122 0.132 0.844 0.024
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.4353 0.75022 0.156 0.836 0.008
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.1620 0.74707 0.024 0.964 0.012
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.0848 0.84752 0.008 0.008 0.984
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.8765 0.61120 0.588 0.200 0.212
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.1015 0.84764 0.012 0.008 0.980
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 2 0.5919 0.65753 0.276 0.712 0.012
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.1015 0.84764 0.012 0.008 0.980
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.0983 0.74419 0.016 0.980 0.004
#> FC7821F4-6495-4545-A22A-764BB99B3F79 2 0.6710 0.64280 0.196 0.732 0.072
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.1399 0.74128 0.028 0.968 0.004
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.5219 0.73563 0.196 0.788 0.016
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.4682 0.72864 0.192 0.804 0.004
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.1129 0.74684 0.020 0.976 0.004
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 1 0.6169 0.27640 0.636 0.360 0.004
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 2 0.6228 0.60657 0.316 0.672 0.012
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.2866 0.76030 0.076 0.916 0.008
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0848 0.84752 0.008 0.008 0.984
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 2 0.7578 0.12345 0.460 0.500 0.040
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.4110 0.75884 0.152 0.844 0.004
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 1 0.9187 0.33891 0.440 0.412 0.148
#> BEE081CA-8420-4314-88A0-286BB30FFD65 2 0.5881 0.68102 0.256 0.728 0.016
#> C464CD1D-4519-48E8-A18A-403F691E5702 2 0.6998 0.55953 0.292 0.664 0.044
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.6934 0.25449 0.624 0.028 0.348
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.5158 0.71781 0.232 0.764 0.004
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0983 0.74600 0.016 0.980 0.004
#> A563359B-0D55-4826-9229-62A89143C1C6 2 0.9846 -0.26788 0.276 0.420 0.304
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 2 0.8157 0.37218 0.308 0.596 0.096
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.597 0.46503 0.348 0.600 0.000 0.052
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 2 0.515 0.68931 0.156 0.764 0.004 0.076
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 4 0.727 0.74464 0.304 0.176 0.000 0.520
#> 91202998-760F-4421-B1C4-18639962EDDA 1 0.735 0.31735 0.544 0.308 0.012 0.136
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.334 0.72284 0.100 0.868 0.000 0.032
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 2 0.644 0.59007 0.148 0.660 0.004 0.188
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 1 0.803 0.10666 0.420 0.376 0.016 0.188
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.382 0.70223 0.048 0.844 0.000 0.108
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.541 0.66489 0.108 0.740 0.000 0.152
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.458 0.68961 0.080 0.800 0.000 0.120
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 2 0.751 0.21179 0.324 0.496 0.004 0.176
#> 784B2359-6064-4FAA-9311-7A852F061FBB 2 0.688 0.31291 0.028 0.624 0.264 0.084
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 4 0.744 0.66912 0.212 0.284 0.000 0.504
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 2 0.605 0.60591 0.256 0.656 0.000 0.088
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.289 0.81112 0.124 0.000 0.872 0.004
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.452 0.67262 0.204 0.768 0.000 0.028
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.417 0.32061 0.848 0.032 0.036 0.084
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 2 0.590 0.65641 0.132 0.720 0.008 0.140
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 2 0.489 0.65121 0.024 0.808 0.080 0.088
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.584 0.15356 0.524 0.448 0.004 0.024
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.434 0.71391 0.128 0.812 0.000 0.060
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.527 0.06233 0.012 0.592 0.000 0.396
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 2 0.611 0.44703 0.348 0.592 0.000 0.060
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 3 0.847 0.43988 0.212 0.032 0.388 0.368
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.557 0.65547 0.120 0.728 0.000 0.152
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 4 0.744 0.68669 0.220 0.272 0.000 0.508
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.567 0.63781 0.128 0.720 0.000 0.152
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.405 0.69117 0.036 0.856 0.036 0.072
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.289 0.81112 0.124 0.000 0.872 0.004
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.605 0.60591 0.256 0.656 0.000 0.088
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 2 0.440 0.70661 0.072 0.820 0.004 0.104
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 2 0.586 0.48450 0.340 0.620 0.008 0.032
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.303 0.70222 0.024 0.904 0.036 0.036
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.172 0.69863 0.000 0.936 0.000 0.064
#> 2846A3AC-D102-4E37-9B72-139ED727157A 2 0.320 0.71834 0.080 0.880 0.000 0.040
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.516 0.59822 0.272 0.700 0.004 0.024
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 1 0.739 0.31806 0.540 0.308 0.012 0.140
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.518 0.39393 0.784 0.100 0.016 0.100
#> 150F5B77-4848-4D68-800A-0A0236C3661F 2 0.562 0.63040 0.108 0.720 0.000 0.172
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.605 0.18368 0.524 0.440 0.008 0.028
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.256 0.72139 0.032 0.912 0.000 0.056
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.164 0.69591 0.000 0.940 0.000 0.060
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 1 0.572 0.37998 0.756 0.108 0.028 0.108
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 2 0.618 0.63695 0.148 0.696 0.008 0.148
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.479 0.63262 0.224 0.748 0.004 0.024
#> 1447B543-D3AC-41B5-878F-B382FE49421B 2 0.586 0.07933 0.476 0.492 0.000 0.032
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 2 0.582 0.24296 0.432 0.540 0.004 0.024
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 2 0.660 0.51443 0.264 0.620 0.004 0.112
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.247 0.81284 0.108 0.000 0.892 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 2 0.546 0.68666 0.144 0.756 0.012 0.088
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 2 0.464 0.58294 0.020 0.740 0.000 0.240
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.455 0.38624 0.828 0.080 0.024 0.068
#> D9225689-21E0-478A-8F79-C26542938B8D 2 0.546 0.66568 0.156 0.744 0.004 0.096
#> FC3BA46D-57F6-424C-8D62-16C441035969 2 0.490 0.68489 0.104 0.780 0.000 0.116
#> 045CFFE6-4736-42F2-9340-C37690E47882 3 0.247 0.81284 0.108 0.000 0.892 0.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 4 0.727 0.74464 0.304 0.176 0.000 0.520
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 2 0.502 0.65873 0.220 0.736 0.000 0.044
#> E94B217F-C5DC-4F42-8135-E81F338914B5 2 0.573 0.55456 0.024 0.748 0.084 0.144
#> AE4C3956-76DF-4059-8D69-3D764F31817F 2 0.422 0.66686 0.044 0.812 0.000 0.144
#> 33D6A38E-CD99-437B-99E0-04E72582F777 2 0.620 0.65233 0.164 0.708 0.020 0.108
#> 8379051C-5847-42B5-AC5C-A128C166AB97 2 0.635 0.60012 0.156 0.680 0.008 0.156
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 2 0.565 0.65540 0.144 0.732 0.004 0.120
#> 40A16429-229E-4F40-BFC7-263554438F99 2 0.514 0.65294 0.084 0.756 0.000 0.160
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 2 0.529 0.66143 0.152 0.748 0.000 0.100
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 2 0.561 0.66282 0.168 0.736 0.008 0.088
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 1 0.572 0.40898 0.660 0.284 0.000 0.056
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 2 0.694 0.49425 0.220 0.604 0.004 0.172
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.284 0.72013 0.052 0.900 0.000 0.048
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 2 0.647 0.56329 0.224 0.648 0.004 0.124
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 2 0.464 0.58294 0.020 0.740 0.000 0.240
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 2 0.273 0.70402 0.024 0.916 0.024 0.036
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.232 0.70797 0.012 0.928 0.012 0.048
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 2 0.469 0.66720 0.068 0.788 0.000 0.144
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 2 0.709 0.49133 0.232 0.604 0.012 0.152
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 2 0.511 0.56832 0.280 0.696 0.004 0.020
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 2 0.633 0.64006 0.192 0.696 0.028 0.084
#> FDB47AC4-CE6A-428B-9B55-EBCEF1970ACB 2 0.703 0.46912 0.224 0.576 0.000 0.200
#> 133B7E7B-FD50-48A2-9A35-E6D44FAB976B 2 0.608 0.62015 0.168 0.684 0.000 0.148
#> E69E45DA-66A6-438A-9BFC-5F1F7F5C5A87 2 0.776 0.12259 0.340 0.464 0.008 0.188
#> 6E242DF5-8B8B-4C6F-870E-C7ADFFAFDF3E 2 0.147 0.70740 0.000 0.948 0.000 0.052
#> CB7BBFF1-4BF3-42A9-85C6-680D91503799 2 0.691 0.50614 0.216 0.608 0.004 0.172
#> 70AA4670-C75B-4E39-8958-3F9C29811871 2 0.512 0.68207 0.164 0.756 0.000 0.080
#> D63C5178-4FF7-4FD0-B87E-6CBF6E7BEF5B 2 0.174 0.69792 0.004 0.940 0.000 0.056
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#> 671C1840-9C1B-4AC1-9564-78802489F763 1 0.468 0.35549 0.824 0.068 0.032 0.076
#> BA4F7841-9FC3-4CE6-ACA5-43FC36641640 3 0.857 0.43764 0.204 0.040 0.388 0.368
#> 24A02CE5-28E7-457E-8B90-4EACA528B072 1 0.570 0.41532 0.640 0.324 0.008 0.028
#> C7008665-F6DE-48B4-A0E7-6C388B72C609 2 0.247 0.69840 0.012 0.908 0.000 0.080
#> 50F984AB-95C1-4D7B-A787-418CBB59D165 2 0.680 0.47517 0.300 0.596 0.012 0.092
#> 5FFD2A6A-ED8A-44A9-9FC1-3106341C284A 2 0.268 0.69048 0.012 0.896 0.000 0.092
#> 7481630E-5CBA-4A4A-A16F-E327BCEE11D3 2 0.586 0.07043 0.476 0.496 0.004 0.024
#> 7B3E6643-C148-4266-A3A3-80BAB713DD3E 2 0.164 0.69858 0.000 0.940 0.000 0.060
#> BA8564FA-8D4D-4B2F-A178-63209F887A05 1 0.907 -0.27632 0.408 0.104 0.332 0.156
#> 2FB578F6-E8B7-434D-9720-D448A26C1EFD 1 0.548 0.40438 0.636 0.340 0.008 0.016
#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 2 0.495 0.58155 0.272 0.708 0.004 0.016
#> 740FCE46-8A4A-4A6A-B79F-78A63D28E313 2 0.338 0.66213 0.012 0.848 0.000 0.140
#> 523A5832-0C42-44A4-A58F-7011C3A567DC 3 0.289 0.81112 0.124 0.000 0.872 0.004
#> A2C68C81-7371-4E0C-BFD1-EA868A7C9499 2 0.328 0.71550 0.116 0.864 0.000 0.020
#> 2EB7025A-D932-4238-BD60-609B25150029 4 0.727 0.74464 0.304 0.176 0.000 0.520
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 2 0.292 0.67409 0.008 0.876 0.000 0.116
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 2 0.291 0.71743 0.064 0.896 0.000 0.040
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 2 0.212 0.70831 0.028 0.936 0.004 0.032
#> F081EA01-ED14-491B-9620-BF8F10A7431D 2 0.637 0.59086 0.152 0.668 0.004 0.176
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 2 0.264 0.71491 0.060 0.908 0.000 0.032
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 2 0.610 0.65561 0.152 0.728 0.036 0.084
#> B54639CE-F721-4908-B758-309F148AD3C2 2 0.529 0.66027 0.100 0.748 0.000 0.152
#> EB4294E1-3FBC-495C-A041-829A654B59C5 3 0.289 0.81112 0.124 0.000 0.872 0.004
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 2 0.586 0.06940 0.476 0.496 0.004 0.024
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.172 0.69486 0.000 0.936 0.000 0.064
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 2 0.516 0.58410 0.272 0.700 0.004 0.024
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.179 0.69275 0.000 0.932 0.000 0.068
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 1 0.843 0.27239 0.436 0.340 0.184 0.040
#> D34036E4-1122-42AE-B20F-F4C8515872A0 2 0.190 0.70184 0.004 0.932 0.000 0.064
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 2 0.226 0.70570 0.024 0.932 0.008 0.036
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 1 0.747 0.28496 0.520 0.312 0.008 0.160
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 3 0.247 0.81284 0.108 0.000 0.892 0.000
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.171 0.70560 0.016 0.948 0.000 0.036
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.179 0.69306 0.000 0.932 0.000 0.068
#> F3C13430-405E-432E-8F3E-0DD18E86087E 2 0.563 0.66190 0.196 0.712 0.000 0.092
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.230 0.71762 0.016 0.920 0.000 0.064
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 2 0.594 0.06805 0.468 0.500 0.004 0.028
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.172 0.70471 0.020 0.948 0.000 0.032
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.182 0.70752 0.012 0.948 0.008 0.032
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 1 0.910 -0.05741 0.408 0.100 0.324 0.168
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.391 0.69283 0.140 0.828 0.000 0.032
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.554 0.41066 0.640 0.332 0.008 0.020
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 4 0.637 0.53986 0.424 0.064 0.000 0.512
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 1 0.581 0.39465 0.620 0.340 0.004 0.036
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.541 0.66931 0.152 0.748 0.004 0.096
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.247 0.81284 0.108 0.000 0.892 0.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.289 0.81112 0.124 0.000 0.872 0.004
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 4 0.746 0.68121 0.220 0.276 0.000 0.504
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 2 0.531 0.67413 0.164 0.744 0.000 0.092
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.350 0.70805 0.104 0.860 0.000 0.036
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 2 0.590 0.60508 0.220 0.684 0.000 0.096
#> 343F031B-0095-429D-8212-AD0581DBB05B 1 0.779 0.22009 0.432 0.376 0.008 0.184
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 2 0.577 0.64467 0.148 0.712 0.000 0.140
#> 03A226C5-398D-41D2-BB72-C97A373CD512 3 0.822 0.42199 0.268 0.012 0.388 0.332
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 2 0.411 0.70405 0.060 0.828 0.000 0.112
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 2 0.724 0.37937 0.296 0.528 0.000 0.176
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 2 0.526 0.59641 0.272 0.696 0.004 0.028
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.406 0.68762 0.152 0.816 0.000 0.032
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.478 0.68991 0.164 0.776 0.000 0.060
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.231 0.71391 0.016 0.928 0.008 0.048
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.247 0.81284 0.108 0.000 0.892 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.465 0.44052 0.792 0.160 0.008 0.040
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.289 0.81112 0.124 0.000 0.872 0.004
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 2 0.719 0.44174 0.236 0.572 0.004 0.188
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.289 0.81112 0.124 0.000 0.872 0.004
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.147 0.69901 0.000 0.948 0.000 0.052
#> FC7821F4-6495-4545-A22A-764BB99B3F79 2 0.528 0.56918 0.276 0.692 0.004 0.028
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.187 0.69303 0.000 0.928 0.000 0.072
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.596 0.65512 0.184 0.712 0.012 0.092
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.565 0.64405 0.180 0.716 0.000 0.104
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.173 0.70596 0.024 0.948 0.000 0.028
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 4 0.719 0.63863 0.384 0.140 0.000 0.476
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 2 0.722 0.41199 0.264 0.560 0.004 0.172
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.320 0.71834 0.080 0.880 0.000 0.040
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.247 0.81284 0.108 0.000 0.892 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 1 0.778 0.15523 0.428 0.384 0.008 0.180
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.472 0.70192 0.096 0.792 0.000 0.112
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 1 0.768 0.28614 0.524 0.304 0.020 0.152
#> BEE081CA-8420-4314-88A0-286BB30FFD65 2 0.642 0.56961 0.248 0.648 0.008 0.096
#> C464CD1D-4519-48E8-A18A-403F691E5702 2 0.619 0.41668 0.352 0.584 0.000 0.064
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.455 0.29393 0.820 0.024 0.040 0.116
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.612 0.62261 0.164 0.680 0.000 0.156
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.171 0.70543 0.016 0.948 0.000 0.036
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.849 0.26034 0.424 0.344 0.192 0.040
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 2 0.562 0.25767 0.416 0.564 0.008 0.012
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.6390 0.36641 0.260 0.536 0.000 0.004 0.200
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 2 0.5644 0.51526 0.108 0.624 0.004 0.000 0.264
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 5 0.4572 0.55416 0.148 0.092 0.000 0.004 0.756
#> 91202998-760F-4421-B1C4-18639962EDDA 1 0.6782 0.08643 0.500 0.212 0.008 0.004 0.276
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.3750 0.64528 0.060 0.820 0.000 0.004 0.116
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 2 0.5562 0.38270 0.064 0.548 0.004 0.000 0.384
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 1 0.7436 -0.23088 0.348 0.284 0.016 0.008 0.344
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.3649 0.62754 0.020 0.824 0.000 0.020 0.136
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.4694 0.55879 0.032 0.676 0.000 0.004 0.288
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.4037 0.60489 0.020 0.752 0.000 0.004 0.224
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 2 0.7277 -0.26544 0.252 0.372 0.004 0.016 0.356
#> 784B2359-6064-4FAA-9311-7A852F061FBB 2 0.9022 -0.08785 0.092 0.388 0.264 0.088 0.168
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 5 0.4550 0.54955 0.064 0.188 0.000 0.004 0.744
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 2 0.6116 0.48275 0.156 0.572 0.004 0.000 0.268
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.1197 0.89489 0.048 0.000 0.952 0.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.5152 0.59002 0.124 0.712 0.000 0.008 0.156
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.4086 0.38304 0.828 0.016 0.032 0.096 0.028
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 2 0.5920 0.41761 0.088 0.584 0.008 0.004 0.316
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 2 0.6016 0.47405 0.032 0.692 0.060 0.040 0.176
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.7153 0.12743 0.420 0.368 0.016 0.008 0.188
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.4931 0.61729 0.120 0.752 0.000 0.024 0.104
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.4709 0.14184 0.008 0.584 0.000 0.008 0.400
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 2 0.6581 0.37100 0.220 0.520 0.000 0.008 0.252
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 4 0.2538 0.91929 0.064 0.016 0.012 0.904 0.004
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.4965 0.54823 0.036 0.652 0.000 0.008 0.304
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 5 0.4540 0.55823 0.068 0.180 0.000 0.004 0.748
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.4747 0.55108 0.036 0.676 0.000 0.004 0.284
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.3858 0.61732 0.024 0.844 0.012 0.072 0.048
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.1197 0.89489 0.048 0.000 0.952 0.000 0.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.6116 0.48275 0.156 0.572 0.004 0.000 0.268
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 2 0.5236 0.53965 0.056 0.692 0.000 0.024 0.228
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 2 0.6699 0.39443 0.224 0.540 0.008 0.008 0.220
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.3293 0.61726 0.024 0.876 0.024 0.016 0.060
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.1557 0.62589 0.000 0.940 0.000 0.008 0.052
#> 2846A3AC-D102-4E37-9B72-139ED727157A 2 0.3574 0.63997 0.032 0.840 0.000 0.020 0.108
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.6061 0.50990 0.160 0.624 0.000 0.016 0.200
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 1 0.6862 0.09242 0.504 0.212 0.008 0.008 0.268
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.4758 0.45953 0.780 0.060 0.032 0.008 0.120
#> 150F5B77-4848-4D68-800A-0A0236C3661F 2 0.4854 0.52030 0.044 0.648 0.000 0.000 0.308
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.7060 0.13540 0.432 0.360 0.008 0.012 0.188
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.2414 0.64431 0.008 0.900 0.000 0.012 0.080
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.1597 0.62361 0.000 0.940 0.000 0.012 0.048
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 1 0.4407 0.43581 0.796 0.052 0.040 0.000 0.112
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 2 0.5322 0.50266 0.048 0.612 0.004 0.004 0.332
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.5611 0.55385 0.140 0.684 0.000 0.020 0.156
#> 1447B543-D3AC-41B5-878F-B382FE49421B 2 0.7057 0.00414 0.384 0.408 0.016 0.004 0.188
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 2 0.6794 0.25765 0.308 0.476 0.000 0.012 0.204
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 2 0.6571 0.21813 0.172 0.488 0.000 0.008 0.332
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.0794 0.89544 0.028 0.000 0.972 0.000 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 2 0.5708 0.51542 0.096 0.640 0.008 0.004 0.252
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 2 0.4659 0.43176 0.004 0.644 0.000 0.020 0.332
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.4065 0.46867 0.840 0.052 0.028 0.052 0.028
#> D9225689-21E0-478A-8F79-C26542938B8D 2 0.5247 0.53235 0.072 0.652 0.004 0.000 0.272
#> FC3BA46D-57F6-424C-8D62-16C441035969 2 0.4352 0.59386 0.036 0.720 0.000 0.000 0.244
#> 045CFFE6-4736-42F2-9340-C37690E47882 3 0.0794 0.89544 0.028 0.000 0.972 0.000 0.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 5 0.4572 0.55416 0.148 0.092 0.000 0.004 0.756
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 2 0.5564 0.55512 0.112 0.656 0.000 0.008 0.224
#> E94B217F-C5DC-4F42-8135-E81F338914B5 2 0.8148 0.12365 0.092 0.516 0.092 0.076 0.224
#> AE4C3956-76DF-4059-8D69-3D764F31817F 2 0.3873 0.59482 0.012 0.768 0.000 0.008 0.212
#> 33D6A38E-CD99-437B-99E0-04E72582F777 2 0.6523 0.42469 0.128 0.580 0.012 0.016 0.264
#> 8379051C-5847-42B5-AC5C-A128C166AB97 2 0.6396 0.29435 0.116 0.532 0.008 0.008 0.336
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 2 0.6109 0.39823 0.116 0.584 0.004 0.008 0.288
#> 40A16429-229E-4F40-BFC7-263554438F99 2 0.4404 0.55426 0.024 0.684 0.000 0.000 0.292
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 2 0.5192 0.51205 0.076 0.644 0.000 0.000 0.280
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 2 0.5523 0.51857 0.068 0.636 0.004 0.008 0.284
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 1 0.6616 0.33112 0.588 0.200 0.012 0.016 0.184
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 2 0.6813 0.05610 0.160 0.444 0.004 0.012 0.380
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.2562 0.64443 0.032 0.900 0.000 0.008 0.060
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 2 0.6708 0.27012 0.172 0.516 0.004 0.012 0.296
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 2 0.4659 0.43176 0.004 0.644 0.000 0.020 0.332
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 2 0.2792 0.62820 0.016 0.900 0.024 0.012 0.048
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#> 9824DFB4-0A1A-4BA4-B2DC-5348DA3D3AE6 2 0.5489 0.56909 0.156 0.696 0.000 0.020 0.128
#> 50ECFB2A-FF9D-4A8A-91CB-3902D3B670A0 2 0.6375 0.40371 0.244 0.556 0.000 0.008 0.192
#> 755D805B-B9F4-41D3-ACA7-2BB599C3D529 2 0.4725 0.55883 0.036 0.680 0.000 0.004 0.280
#> 0BA34100-8588-47B5-A962-4BD1916645B6 1 0.4407 0.43581 0.796 0.052 0.040 0.000 0.112
#> 9CE2E8D4-1AD1-4546-AD5D-D58193F79096 1 0.4407 0.43581 0.796 0.052 0.040 0.000 0.112
#> 92D7DB12-B0E0-4072-98FB-34B112E7728D 3 0.8794 -0.39498 0.276 0.248 0.320 0.020 0.136
#> 79FD2101-0A9A-4EA7-A773-5EA8693138D0 2 0.2046 0.62131 0.000 0.916 0.000 0.016 0.068
#> A3A8937A-0B0B-4A68-AE68-81DA9CF7F4FB 1 0.6172 0.27885 0.612 0.104 0.032 0.000 0.252
#> 3EB3C0F8-4CBC-41A7-81E4-4D8A565441A7 2 0.7225 0.02783 0.216 0.436 0.008 0.016 0.324
#> 77EE3B54-FD7A-4ACF-879C-31667ADCCC5B 2 0.1651 0.62801 0.008 0.944 0.000 0.012 0.036
#> 327B2123-6DD8-4263-87DE-EE917E911DD4 2 0.7085 0.00448 0.176 0.436 0.008 0.016 0.364
#> 198A6AD0-79CD-40F5-A622-18AFBE78F2D2 1 0.4260 0.44312 0.828 0.036 0.032 0.072 0.032
#> EEE29DE1-F88C-4184-B499-5E86E2D252C4 4 0.2538 0.91929 0.064 0.016 0.012 0.904 0.004
#> 1E95EA22-BC41-4AAE-AFCC-F9281989A785 5 0.7090 0.20965 0.348 0.268 0.012 0.000 0.372
#> CD3AC0E4-88A9-4084-A2BE-AEE722CF6AA3 1 0.7050 0.23975 0.496 0.324 0.024 0.012 0.144
#> 8D7FABA2-764D-4795-BB04-D9E69E9792B9 1 0.5385 0.47049 0.748 0.092 0.028 0.024 0.108
#> DAC07889-EE06-46E0-B1F1-833ECC0A48A9 2 0.1200 0.63099 0.016 0.964 0.000 0.012 0.008
#> E7B555A3-567B-4A44-8225-D269E73FB50B 2 0.5395 0.47568 0.060 0.592 0.000 0.004 0.344
#> 3CC95101-C35F-4761-9D41-3C35BD55B37E 2 0.3606 0.60951 0.008 0.844 0.032 0.012 0.104
#> F62E5A69-5E81-4B2A-8CC0-F4D6E188B187 4 0.2538 0.91929 0.064 0.016 0.012 0.904 0.004
#> C650633B-A369-4657-8693-FDFBF22BD34E 2 0.8758 -0.15620 0.260 0.352 0.188 0.016 0.184
#> 5E514217-F0DB-49FD-9C5D-EB22628ED297 2 0.1638 0.62106 0.000 0.932 0.000 0.004 0.064
#> 6E1DB9BF-06FE-48B1-A2D8-EF2CE7591364 2 0.3859 0.63897 0.072 0.820 0.000 0.008 0.100
#> C9581CE3-58B6-45B4-B4B7-15F555FD84A4 2 0.7466 0.22401 0.192 0.488 0.040 0.012 0.268
#> F56C26ED-9358-485B-8867-EBA1CAA4E2A7 2 0.5649 0.55278 0.180 0.672 0.000 0.016 0.132
#> 45CA3F9E-40EE-43A4-AE57-FE51D4003844 2 0.4863 0.61299 0.064 0.716 0.000 0.008 0.212
#> 47EFA063-19C1-4E1F-ACE8-68D9BAD0B995 2 0.5902 0.43145 0.124 0.556 0.000 0.000 0.320
#> 8C30EA0F-0DA1-43C7-81AE-DE825A53F114 2 0.8845 -0.12356 0.172 0.372 0.268 0.032 0.156
#> 2CE7477C-DD09-4B3A-AD65-C696BE8C9B11 1 0.4388 0.32439 0.804 0.016 0.032 0.120 0.028
#> 4DECB19A-290F-4CEB-BE25-AAF9B9E2B58F 1 0.3920 0.35387 0.832 0.016 0.032 0.104 0.016
#> 3DEA9B14-DF42-43A0-AC4A-32AE7A16218D 5 0.4659 0.56023 0.084 0.168 0.000 0.004 0.744
#> 9F57D45B-C62F-44C5-AB9D-0CB54BBA16F5 2 0.6813 0.50350 0.116 0.628 0.048 0.028 0.180
#> 54ACCFD9-A8D6-4E4C-9097-1A0BE258AA1B 4 0.3587 0.89835 0.088 0.032 0.008 0.852 0.020
#> 9EE67DE9-9B56-4773-8F6A-1036D31F568E 2 0.6695 0.26553 0.168 0.516 0.004 0.012 0.300
#> 1B1C9301-D6D6-4F6B-80A3-3603013AA951 2 0.5762 0.50134 0.036 0.720 0.060 0.036 0.148
#> DDDCDF00-FB0A-477B-891B-2EE5E0C8F61E 3 0.0794 0.89544 0.028 0.000 0.972 0.000 0.000
#> 34A3260D-AC4D-416F-ADF0-24013048BC46 2 0.5971 0.53082 0.168 0.644 0.000 0.020 0.168
#> 671C1840-9C1B-4AC1-9564-78802489F763 1 0.4912 0.45808 0.788 0.052 0.024 0.088 0.048
#> BA4F7841-9FC3-4CE6-ACA5-43FC36641640 4 0.2749 0.91328 0.060 0.028 0.012 0.896 0.004
#> 24A02CE5-28E7-457E-8B90-4EACA528B072 1 0.6565 0.34452 0.588 0.248 0.020 0.012 0.132
#> C7008665-F6DE-48B4-A0E7-6C388B72C609 2 0.2141 0.62535 0.004 0.916 0.000 0.016 0.064
#> 50F984AB-95C1-4D7B-A787-418CBB59D165 2 0.7092 0.16926 0.220 0.464 0.012 0.008 0.296
#> 5FFD2A6A-ED8A-44A9-9FC1-3106341C284A 2 0.2361 0.62283 0.000 0.892 0.000 0.012 0.096
#> 7481630E-5CBA-4A4A-A16F-E327BCEE11D3 2 0.6879 0.07466 0.368 0.420 0.000 0.012 0.200
#> 7B3E6643-C148-4266-A3A3-80BAB713DD3E 2 0.1597 0.62498 0.000 0.940 0.000 0.012 0.048
#> BA8564FA-8D4D-4B2F-A178-63209F887A05 3 0.9148 -0.14841 0.236 0.080 0.340 0.256 0.088
#> 2FB578F6-E8B7-434D-9720-D448A26C1EFD 1 0.6758 0.30943 0.556 0.256 0.016 0.012 0.160
#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 2 0.5885 0.50747 0.176 0.640 0.000 0.012 0.172
#> 740FCE46-8A4A-4A6A-B79F-78A63D28E313 2 0.2852 0.59900 0.000 0.828 0.000 0.000 0.172
#> 523A5832-0C42-44A4-A58F-7011C3A567DC 3 0.1197 0.89489 0.048 0.000 0.952 0.000 0.000
#> A2C68C81-7371-4E0C-BFD1-EA868A7C9499 2 0.3946 0.64025 0.064 0.820 0.000 0.016 0.100
#> 2EB7025A-D932-4238-BD60-609B25150029 5 0.4572 0.55416 0.148 0.092 0.000 0.004 0.756
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 2 0.2612 0.61046 0.000 0.868 0.000 0.008 0.124
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 2 0.3339 0.64079 0.032 0.860 0.000 0.024 0.084
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 2 0.1772 0.63808 0.024 0.944 0.004 0.012 0.016
#> F081EA01-ED14-491B-9620-BF8F10A7431D 2 0.5205 0.46235 0.044 0.592 0.004 0.000 0.360
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 2 0.2430 0.64175 0.028 0.912 0.000 0.020 0.040
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 2 0.6764 0.41092 0.120 0.576 0.028 0.016 0.260
#> B54639CE-F721-4908-B758-309F148AD3C2 2 0.4397 0.57100 0.028 0.696 0.000 0.000 0.276
#> EB4294E1-3FBC-495C-A041-829A654B59C5 3 0.1197 0.89489 0.048 0.000 0.952 0.000 0.000
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 2 0.6894 0.08017 0.364 0.420 0.000 0.012 0.204
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.1502 0.62156 0.000 0.940 0.000 0.004 0.056
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 2 0.6000 0.51293 0.204 0.636 0.000 0.020 0.140
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.1557 0.62109 0.000 0.940 0.000 0.008 0.052
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 1 0.8935 0.12088 0.324 0.276 0.196 0.024 0.180
#> D34036E4-1122-42AE-B20F-F4C8515872A0 2 0.1638 0.63280 0.004 0.932 0.000 0.000 0.064
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 2 0.2179 0.63823 0.024 0.928 0.008 0.012 0.028
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 1 0.6686 0.03120 0.484 0.204 0.008 0.000 0.304
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 3 0.0794 0.89544 0.028 0.000 0.972 0.000 0.000
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.1209 0.63190 0.012 0.964 0.000 0.012 0.012
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.1740 0.62086 0.000 0.932 0.000 0.012 0.056
#> F3C13430-405E-432E-8F3E-0DD18E86087E 2 0.5557 0.55769 0.096 0.644 0.000 0.008 0.252
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.2354 0.64401 0.008 0.904 0.000 0.012 0.076
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 2 0.6867 0.08327 0.356 0.432 0.000 0.012 0.200
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.1200 0.63099 0.016 0.964 0.000 0.012 0.008
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.1699 0.63124 0.008 0.944 0.008 0.004 0.036
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 4 0.6669 0.48531 0.224 0.072 0.000 0.596 0.108
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.4551 0.61475 0.096 0.780 0.000 0.020 0.104
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.6542 0.33154 0.580 0.256 0.020 0.008 0.136
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 5 0.4385 0.31471 0.312 0.012 0.000 0.004 0.672
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 1 0.7019 0.27661 0.524 0.268 0.016 0.016 0.176
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.5170 0.53869 0.068 0.660 0.004 0.000 0.268
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.0794 0.89544 0.028 0.000 0.972 0.000 0.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.1197 0.89489 0.048 0.000 0.952 0.000 0.000
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 5 0.4515 0.55630 0.064 0.184 0.000 0.004 0.748
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 2 0.5665 0.49407 0.108 0.620 0.000 0.004 0.268
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.3799 0.63646 0.072 0.836 0.000 0.024 0.068
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 2 0.6393 0.37630 0.180 0.564 0.000 0.012 0.244
#> 343F031B-0095-429D-8212-AD0581DBB05B 1 0.7598 -0.17588 0.372 0.260 0.008 0.028 0.332
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 2 0.4956 0.53013 0.048 0.636 0.000 0.000 0.316
#> 03A226C5-398D-41D2-BB72-C97A373CD512 4 0.2833 0.88970 0.120 0.000 0.012 0.864 0.004
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 2 0.4883 0.54150 0.040 0.712 0.000 0.020 0.228
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 2 0.6568 0.21141 0.188 0.472 0.000 0.004 0.336
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 2 0.5946 0.51829 0.188 0.632 0.000 0.012 0.168
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.4750 0.60758 0.112 0.764 0.000 0.020 0.104
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.5192 0.56899 0.092 0.664 0.000 0.000 0.244
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.2728 0.63395 0.012 0.896 0.008 0.016 0.068
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.0794 0.89544 0.028 0.000 0.972 0.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.5042 0.47708 0.768 0.120 0.028 0.020 0.064
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.1197 0.89489 0.048 0.000 0.952 0.000 0.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 2 0.6626 -0.02190 0.160 0.432 0.004 0.004 0.400
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.1197 0.89489 0.048 0.000 0.952 0.000 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.1251 0.62578 0.000 0.956 0.000 0.008 0.036
#> FC7821F4-6495-4545-A22A-764BB99B3F79 2 0.6111 0.50058 0.208 0.628 0.000 0.024 0.140
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.1670 0.62040 0.000 0.936 0.000 0.012 0.052
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.6149 0.50059 0.112 0.608 0.012 0.008 0.260
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.5404 0.50130 0.088 0.620 0.000 0.000 0.292
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.1306 0.63182 0.016 0.960 0.000 0.016 0.008
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 5 0.5280 0.43394 0.248 0.076 0.000 0.008 0.668
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 2 0.6628 -0.03851 0.188 0.432 0.004 0.000 0.376
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.3574 0.63997 0.032 0.840 0.000 0.020 0.108
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0794 0.89544 0.028 0.000 0.972 0.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 5 0.7014 0.22822 0.344 0.276 0.008 0.000 0.372
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.4888 0.57321 0.064 0.700 0.000 0.004 0.232
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 1 0.6888 0.04081 0.476 0.168 0.024 0.000 0.332
#> BEE081CA-8420-4314-88A0-286BB30FFD65 2 0.6496 0.30821 0.164 0.516 0.004 0.004 0.312
#> C464CD1D-4519-48E8-A18A-403F691E5702 2 0.6587 0.35684 0.232 0.520 0.000 0.008 0.240
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.4303 0.31899 0.808 0.016 0.032 0.120 0.024
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.5188 0.48359 0.056 0.600 0.000 0.000 0.344
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.1518 0.63056 0.012 0.952 0.000 0.016 0.020
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.8932 0.11148 0.320 0.280 0.204 0.024 0.172
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 2 0.6810 0.25533 0.328 0.492 0.004 0.016 0.160
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.6198 0.138387 0.236 0.460 0.000 0.292 0.012 0.000
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 2 0.6629 0.124187 0.092 0.484 0.004 0.320 0.100 0.000
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 4 0.3907 0.250190 0.104 0.032 0.000 0.800 0.064 0.000
#> 91202998-760F-4421-B1C4-18639962EDDA 1 0.6685 -0.043814 0.468 0.144 0.008 0.336 0.036 0.008
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.4270 0.561604 0.064 0.752 0.000 0.164 0.020 0.000
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 4 0.5705 -0.036345 0.044 0.432 0.004 0.472 0.048 0.000
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 4 0.6874 0.354962 0.324 0.212 0.012 0.416 0.036 0.000
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.3980 0.480698 0.004 0.780 0.000 0.148 0.056 0.012
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.4665 0.403439 0.016 0.588 0.000 0.372 0.024 0.000
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.4060 0.503279 0.008 0.680 0.000 0.296 0.016 0.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 4 0.7391 0.513668 0.216 0.220 0.004 0.456 0.088 0.016
#> 784B2359-6064-4FAA-9311-7A852F061FBB 5 0.3910 0.008530 0.004 0.036 0.156 0.020 0.784 0.000
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 4 0.4159 0.290809 0.028 0.124 0.000 0.776 0.072 0.000
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 2 0.5731 0.281516 0.136 0.492 0.000 0.364 0.008 0.000
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0547 0.876188 0.020 0.000 0.980 0.000 0.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.5479 0.462294 0.116 0.632 0.000 0.228 0.008 0.016
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.2753 0.451708 0.876 0.000 0.004 0.028 0.012 0.080
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 2 0.7221 -0.165625 0.072 0.420 0.004 0.324 0.168 0.012
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 5 0.5371 0.509378 0.016 0.444 0.008 0.048 0.484 0.000
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.6610 0.131770 0.432 0.280 0.004 0.264 0.012 0.008
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.5466 0.465658 0.112 0.688 0.000 0.144 0.020 0.036
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.4963 -0.034661 0.008 0.568 0.000 0.368 0.056 0.000
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 2 0.6579 0.166051 0.204 0.440 0.000 0.324 0.024 0.008
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 6 0.0146 0.925620 0.000 0.004 0.000 0.000 0.000 0.996
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.4883 0.422821 0.024 0.600 0.000 0.348 0.024 0.004
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 4 0.4007 0.307645 0.032 0.108 0.000 0.792 0.068 0.000
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#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.5969 0.381669 0.592 0.184 0.004 0.196 0.012 0.012
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 4 0.4462 0.016031 0.280 0.000 0.000 0.660 0.060 0.000
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 1 0.6319 0.295828 0.528 0.216 0.004 0.228 0.008 0.016
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.5374 0.286544 0.048 0.548 0.000 0.368 0.036 0.000
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.0000 0.876615 0.000 0.000 1.000 0.000 0.000 0.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.0547 0.876188 0.020 0.000 0.980 0.000 0.000 0.000
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 4 0.3978 0.306227 0.028 0.112 0.000 0.792 0.068 0.000
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 2 0.6724 0.050022 0.104 0.480 0.000 0.320 0.088 0.008
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.4582 0.543945 0.084 0.756 0.000 0.124 0.012 0.024
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 2 0.7178 -0.213091 0.160 0.412 0.000 0.296 0.132 0.000
#> 343F031B-0095-429D-8212-AD0581DBB05B 4 0.7396 0.315545 0.336 0.160 0.008 0.412 0.056 0.028
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 2 0.4780 0.380554 0.028 0.564 0.000 0.392 0.016 0.000
#> 03A226C5-398D-41D2-BB72-C97A373CD512 6 0.1204 0.904153 0.056 0.000 0.000 0.000 0.000 0.944
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 2 0.6170 0.046025 0.036 0.536 0.000 0.172 0.256 0.000
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 4 0.6101 0.016773 0.152 0.388 0.000 0.440 0.020 0.000
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 2 0.6133 0.353677 0.172 0.548 0.000 0.252 0.016 0.012
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.5127 0.501702 0.104 0.696 0.000 0.168 0.012 0.020
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.5765 0.331022 0.064 0.548 0.000 0.332 0.056 0.000
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.3317 0.485494 0.004 0.848 0.004 0.056 0.076 0.012
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.0000 0.876615 0.000 0.000 1.000 0.000 0.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.4032 0.539533 0.792 0.080 0.004 0.104 0.000 0.020
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.0547 0.876188 0.020 0.000 0.980 0.000 0.000 0.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 4 0.6881 0.477726 0.116 0.288 0.004 0.488 0.100 0.004
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.0547 0.876188 0.020 0.000 0.980 0.000 0.000 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.1552 0.501496 0.000 0.940 0.000 0.036 0.020 0.004
#> FC7821F4-6495-4545-A22A-764BB99B3F79 2 0.6345 0.341377 0.212 0.548 0.000 0.200 0.020 0.020
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.1951 0.495471 0.000 0.916 0.000 0.060 0.020 0.004
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.6485 0.187162 0.080 0.508 0.004 0.328 0.072 0.008
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.5354 0.263716 0.052 0.524 0.000 0.396 0.028 0.000
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.1317 0.515961 0.016 0.956 0.000 0.004 0.016 0.008
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 4 0.5000 0.131193 0.212 0.048 0.000 0.684 0.056 0.000
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 4 0.6954 0.472111 0.136 0.300 0.004 0.468 0.088 0.004
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.3877 0.558427 0.024 0.796 0.000 0.144 0.016 0.020
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0000 0.876615 0.000 0.000 1.000 0.000 0.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 4 0.6675 0.365430 0.296 0.184 0.008 0.476 0.032 0.004
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.6166 0.269555 0.052 0.552 0.000 0.292 0.096 0.008
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 1 0.6325 -0.036598 0.452 0.080 0.008 0.408 0.048 0.004
#> BEE081CA-8420-4314-88A0-286BB30FFD65 4 0.6688 0.166751 0.132 0.396 0.004 0.404 0.064 0.000
#> C464CD1D-4519-48E8-A18A-403F691E5702 2 0.6475 0.163273 0.224 0.440 0.000 0.312 0.020 0.004
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.3196 0.390869 0.848 0.000 0.004 0.016 0.036 0.096
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.4893 0.273815 0.036 0.512 0.000 0.440 0.012 0.000
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.1611 0.514091 0.012 0.944 0.000 0.024 0.008 0.012
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.8575 0.112491 0.324 0.200 0.188 0.224 0.056 0.008
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 2 0.6727 0.111716 0.328 0.420 0.000 0.216 0.016 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)
#> Error in mat[ceiling(1:nr/h_ratio), ceiling(1:nc/w_ratio), drop = FALSE]: subscript out of bounds
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 17109 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'SD' method.
#> Subgroups are detected by 'kmeans' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.555 0.887 0.931 0.4080 0.574 0.574
#> 3 3 0.659 0.824 0.906 0.3624 0.755 0.615
#> 4 4 0.503 0.486 0.670 0.2366 0.804 0.598
#> 5 5 0.690 0.711 0.835 0.1178 0.791 0.452
#> 6 6 0.702 0.564 0.763 0.0495 0.930 0.721
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
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.2043 0.9333 0.032 0.968
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 2 0.0376 0.9454 0.004 0.996
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 2 0.2043 0.9333 0.032 0.968
#> 91202998-760F-4421-B1C4-18639962EDDA 1 0.6247 0.9019 0.844 0.156
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.0376 0.9457 0.004 0.996
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 2 0.0000 0.9469 0.000 1.000
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 2 0.5842 0.8332 0.140 0.860
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.0000 0.9469 0.000 1.000
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.0000 0.9469 0.000 1.000
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.0000 0.9469 0.000 1.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 2 0.7950 0.6744 0.240 0.760
#> 784B2359-6064-4FAA-9311-7A852F061FBB 1 0.2236 0.8733 0.964 0.036
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 2 0.0000 0.9469 0.000 1.000
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 2 0.4939 0.8695 0.108 0.892
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 1 0.2043 0.8733 0.968 0.032
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.2043 0.9333 0.032 0.968
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.5178 0.9187 0.884 0.116
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 2 0.0000 0.9469 0.000 1.000
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 2 0.0000 0.9469 0.000 1.000
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.6531 0.8910 0.832 0.168
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.2043 0.9333 0.032 0.968
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.0000 0.9469 0.000 1.000
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 2 0.2043 0.9333 0.032 0.968
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 1 0.5178 0.9187 0.884 0.116
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.0000 0.9469 0.000 1.000
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 2 0.0000 0.9469 0.000 1.000
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.1414 0.9393 0.020 0.980
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.0000 0.9469 0.000 1.000
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 1 0.2043 0.8733 0.968 0.032
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.0000 0.9469 0.000 1.000
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 2 0.0000 0.9469 0.000 1.000
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 2 0.1633 0.9374 0.024 0.976
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.0000 0.9469 0.000 1.000
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.0000 0.9469 0.000 1.000
#> 2846A3AC-D102-4E37-9B72-139ED727157A 2 0.0000 0.9469 0.000 1.000
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.2043 0.9333 0.032 0.968
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 1 0.5946 0.9094 0.856 0.144
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.5629 0.9149 0.868 0.132
#> 150F5B77-4848-4D68-800A-0A0236C3661F 2 0.0000 0.9469 0.000 1.000
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.5294 0.9180 0.880 0.120
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.0000 0.9469 0.000 1.000
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.0000 0.9469 0.000 1.000
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 1 0.5629 0.9149 0.868 0.132
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 2 0.0376 0.9454 0.004 0.996
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.1843 0.9353 0.028 0.972
#> 1447B543-D3AC-41B5-878F-B382FE49421B 2 0.9000 0.5191 0.316 0.684
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 2 0.2043 0.9333 0.032 0.968
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 2 0.0000 0.9469 0.000 1.000
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 1 0.2043 0.8733 0.968 0.032
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 2 0.0000 0.9469 0.000 1.000
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 2 0.0000 0.9469 0.000 1.000
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.5059 0.9185 0.888 0.112
#> D9225689-21E0-478A-8F79-C26542938B8D 2 0.0938 0.9415 0.012 0.988
#> FC3BA46D-57F6-424C-8D62-16C441035969 2 0.0000 0.9469 0.000 1.000
#> 045CFFE6-4736-42F2-9340-C37690E47882 1 0.2043 0.8733 0.968 0.032
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 2 1.0000 -0.1083 0.496 0.504
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 2 0.2043 0.9333 0.032 0.968
#> E94B217F-C5DC-4F42-8135-E81F338914B5 2 0.0000 0.9469 0.000 1.000
#> AE4C3956-76DF-4059-8D69-3D764F31817F 2 0.0000 0.9469 0.000 1.000
#> 33D6A38E-CD99-437B-99E0-04E72582F777 2 0.0000 0.9469 0.000 1.000
#> 8379051C-5847-42B5-AC5C-A128C166AB97 2 0.5629 0.8229 0.132 0.868
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 2 0.1414 0.9407 0.020 0.980
#> 40A16429-229E-4F40-BFC7-263554438F99 2 0.0000 0.9469 0.000 1.000
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 2 0.0000 0.9469 0.000 1.000
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 2 0.1843 0.9309 0.028 0.972
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 1 0.5629 0.9149 0.868 0.132
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 2 0.2236 0.9326 0.036 0.964
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.0000 0.9469 0.000 1.000
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 2 0.4939 0.8514 0.108 0.892
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 2 0.0000 0.9469 0.000 1.000
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 2 0.0000 0.9469 0.000 1.000
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.0000 0.9469 0.000 1.000
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 2 0.0000 0.9469 0.000 1.000
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 2 0.3431 0.9057 0.064 0.936
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 2 0.2043 0.9333 0.032 0.968
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 2 0.0000 0.9469 0.000 1.000
#> FDB47AC4-CE6A-428B-9B55-EBCEF1970ACB 2 0.0672 0.9436 0.008 0.992
#> 133B7E7B-FD50-48A2-9A35-E6D44FAB976B 2 0.2043 0.9333 0.032 0.968
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#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.0000 0.9469 0.000 1.000
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.0000 0.9469 0.000 1.000
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 2 0.8608 0.6018 0.284 0.716
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.2043 0.9333 0.032 0.968
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.7376 0.8531 0.792 0.208
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 2 0.8207 0.6580 0.256 0.744
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 1 0.5408 0.9173 0.876 0.124
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.0000 0.9469 0.000 1.000
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 1 0.2043 0.8733 0.968 0.032
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 1 0.1843 0.8732 0.972 0.028
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 2 0.0000 0.9469 0.000 1.000
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 2 0.0376 0.9457 0.004 0.996
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.1633 0.9374 0.024 0.976
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 2 0.6623 0.7886 0.172 0.828
#> 343F031B-0095-429D-8212-AD0581DBB05B 2 0.8327 0.6419 0.264 0.736
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 2 0.0376 0.9457 0.004 0.996
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.5059 0.9184 0.888 0.112
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 2 0.0000 0.9469 0.000 1.000
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 2 0.1633 0.9392 0.024 0.976
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 2 0.2043 0.9333 0.032 0.968
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.2043 0.9333 0.032 0.968
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.0000 0.9469 0.000 1.000
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.0000 0.9469 0.000 1.000
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 1 0.2043 0.8733 0.968 0.032
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.6148 0.9047 0.848 0.152
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 1 0.2043 0.8733 0.968 0.032
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 2 0.0672 0.9436 0.008 0.992
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 1 0.1843 0.8732 0.972 0.028
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.0000 0.9469 0.000 1.000
#> FC7821F4-6495-4545-A22A-764BB99B3F79 2 0.9129 0.4570 0.328 0.672
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.0000 0.9469 0.000 1.000
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.0000 0.9469 0.000 1.000
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.0000 0.9469 0.000 1.000
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.0000 0.9469 0.000 1.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 2 0.2043 0.9333 0.032 0.968
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 2 0.2043 0.9333 0.032 0.968
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.0000 0.9469 0.000 1.000
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 1 0.2043 0.8733 0.968 0.032
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 2 0.4022 0.8975 0.080 0.920
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.1843 0.9353 0.028 0.972
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 1 0.5737 0.9133 0.864 0.136
#> BEE081CA-8420-4314-88A0-286BB30FFD65 2 0.5294 0.8374 0.120 0.880
#> C464CD1D-4519-48E8-A18A-403F691E5702 2 0.9129 0.5014 0.328 0.672
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.4939 0.9177 0.892 0.108
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.0000 0.9469 0.000 1.000
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0000 0.9469 0.000 1.000
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.6148 0.9085 0.848 0.152
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.7219 0.8620 0.800 0.200
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.2066 0.8884 0.060 0.940 0.000
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 2 0.3116 0.8879 0.108 0.892 0.000
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 2 0.4399 0.8267 0.188 0.812 0.000
#> 91202998-760F-4421-B1C4-18639962EDDA 1 0.1774 0.8167 0.960 0.016 0.024
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.0000 0.9195 0.000 1.000 0.000
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 2 0.3551 0.8771 0.132 0.868 0.000
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 1 0.6062 0.2836 0.616 0.384 0.000
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.2261 0.9083 0.068 0.932 0.000
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.2537 0.9017 0.080 0.920 0.000
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.2261 0.9052 0.068 0.932 0.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 1 0.5760 0.4542 0.672 0.328 0.000
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.0424 0.9828 0.000 0.008 0.992
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 2 0.2537 0.9017 0.080 0.920 0.000
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 2 0.6309 0.0233 0.496 0.504 0.000
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0000 0.9935 0.000 0.000 1.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.0000 0.9195 0.000 1.000 0.000
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.3551 0.7896 0.868 0.000 0.132
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 2 0.2796 0.8938 0.092 0.908 0.000
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 2 0.2537 0.8978 0.080 0.920 0.000
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.3826 0.7981 0.868 0.124 0.008
#> D7A50E95-777C-47A6-8F93-031CB4770633 1 0.5216 0.6711 0.740 0.260 0.000
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.2537 0.9017 0.080 0.920 0.000
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 1 0.4702 0.7245 0.788 0.212 0.000
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 1 0.3340 0.7950 0.880 0.000 0.120
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.1753 0.9080 0.048 0.952 0.000
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 2 0.3038 0.8930 0.104 0.896 0.000
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.2537 0.9017 0.080 0.920 0.000
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.0000 0.9195 0.000 1.000 0.000
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.0000 0.9935 0.000 0.000 1.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.0592 0.9167 0.012 0.988 0.000
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 2 0.2625 0.8961 0.084 0.916 0.000
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 2 0.1031 0.9127 0.024 0.976 0.000
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.0000 0.9195 0.000 1.000 0.000
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.0000 0.9195 0.000 1.000 0.000
#> 2846A3AC-D102-4E37-9B72-139ED727157A 2 0.1860 0.9077 0.052 0.948 0.000
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.5254 0.5906 0.264 0.736 0.000
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 1 0.2056 0.8184 0.952 0.024 0.024
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.1289 0.8108 0.968 0.000 0.032
#> 150F5B77-4848-4D68-800A-0A0236C3661F 2 0.2878 0.8962 0.096 0.904 0.000
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.4217 0.8043 0.868 0.032 0.100
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.0000 0.9195 0.000 1.000 0.000
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.0000 0.9195 0.000 1.000 0.000
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 1 0.1031 0.8101 0.976 0.000 0.024
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 2 0.2796 0.8989 0.092 0.908 0.000
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.0000 0.9195 0.000 1.000 0.000
#> 1447B543-D3AC-41B5-878F-B382FE49421B 1 0.2448 0.8152 0.924 0.076 0.000
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 2 0.6154 0.1727 0.408 0.592 0.000
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 2 0.2356 0.9037 0.072 0.928 0.000
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.0000 0.9935 0.000 0.000 1.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 2 0.2261 0.9025 0.068 0.932 0.000
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 2 0.3551 0.8771 0.132 0.868 0.000
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.3551 0.7896 0.868 0.000 0.132
#> D9225689-21E0-478A-8F79-C26542938B8D 2 0.1643 0.9144 0.044 0.956 0.000
#> FC3BA46D-57F6-424C-8D62-16C441035969 2 0.2537 0.9017 0.080 0.920 0.000
#> 045CFFE6-4736-42F2-9340-C37690E47882 3 0.0000 0.9935 0.000 0.000 1.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 1 0.5397 0.5392 0.720 0.280 0.000
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 1 0.6079 0.4891 0.612 0.388 0.000
#> E94B217F-C5DC-4F42-8135-E81F338914B5 2 0.3340 0.8842 0.120 0.880 0.000
#> AE4C3956-76DF-4059-8D69-3D764F31817F 2 0.1753 0.9080 0.048 0.952 0.000
#> 33D6A38E-CD99-437B-99E0-04E72582F777 2 0.2625 0.8961 0.084 0.916 0.000
#> 8379051C-5847-42B5-AC5C-A128C166AB97 2 0.5058 0.7313 0.244 0.756 0.000
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 2 0.4605 0.7851 0.204 0.796 0.000
#> 40A16429-229E-4F40-BFC7-263554438F99 2 0.2796 0.8977 0.092 0.908 0.000
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 2 0.3192 0.8911 0.112 0.888 0.000
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 2 0.3116 0.8879 0.108 0.892 0.000
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 1 0.3237 0.8169 0.912 0.032 0.056
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 1 0.5948 0.4546 0.640 0.360 0.000
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.0000 0.9195 0.000 1.000 0.000
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 2 0.4399 0.8117 0.188 0.812 0.000
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 2 0.2796 0.8938 0.092 0.908 0.000
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 2 0.0000 0.9195 0.000 1.000 0.000
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.0000 0.9195 0.000 1.000 0.000
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 2 0.2537 0.9017 0.080 0.920 0.000
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 1 0.6045 0.3974 0.620 0.380 0.000
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 2 0.5678 0.4805 0.316 0.684 0.000
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 2 0.0000 0.9195 0.000 1.000 0.000
#> FDB47AC4-CE6A-428B-9B55-EBCEF1970ACB 2 0.3752 0.8715 0.144 0.856 0.000
#> 133B7E7B-FD50-48A2-9A35-E6D44FAB976B 2 0.4346 0.8172 0.184 0.816 0.000
#> E69E45DA-66A6-438A-9BFC-5F1F7F5C5A87 1 0.5650 0.4733 0.688 0.312 0.000
#> 6E242DF5-8B8B-4C6F-870E-C7ADFFAFDF3E 2 0.0000 0.9195 0.000 1.000 0.000
#> CB7BBFF1-4BF3-42A9-85C6-680D91503799 1 0.1529 0.8165 0.960 0.040 0.000
#> 70AA4670-C75B-4E39-8958-3F9C29811871 2 0.0000 0.9195 0.000 1.000 0.000
#> D63C5178-4FF7-4FD0-B87E-6CBF6E7BEF5B 2 0.0000 0.9195 0.000 1.000 0.000
#> 814391F8-C5B9-43F6-A330-A6749BB8F16E 2 0.2711 0.8958 0.088 0.912 0.000
#> 146ED7EA-BF3C-4BAB-B33C-0A668AB13C80 1 0.4399 0.6474 0.812 0.188 0.000
#> FD5CAFE8-E669-406A-A505-A47DCDC32E93 2 0.4291 0.8436 0.180 0.820 0.000
#> 4B3C7910-A652-45B5-8218-9002EB0FD9EB 2 0.2537 0.9017 0.080 0.920 0.000
#> E410F77D-E31F-4D73-ACAC-9245935A92F5 1 0.6111 0.2957 0.604 0.396 0.000
#> 64336403-9037-480C-873A-67BC77119FA5 2 0.0000 0.9195 0.000 1.000 0.000
#> 6F9D5013-3B1B-41EE-85DB-E51F5D828DEF 1 0.5678 0.4645 0.684 0.316 0.000
#> 155AEBBD-1C12-4F88-90C7-1C7FF7E3FB2C 2 0.2796 0.8938 0.092 0.908 0.000
#> D28DDCAA-682C-451F-8327-D2C2AFB044E2 2 0.0000 0.9195 0.000 1.000 0.000
#> 171523DC-2713-4EBF-A115-53A0BA174545 3 0.0000 0.9935 0.000 0.000 1.000
#> FD223304-87BA-4462-A5E5-01AB8C018C35 1 0.3141 0.8172 0.912 0.068 0.020
#> D8E06D8A-9063-4466-A3B0-7724F4737C7A 2 0.2796 0.8933 0.092 0.908 0.000
#> FFA5FFF7-6301-4CD8-8E63-A4D8294D1B0E 2 0.3412 0.8847 0.124 0.876 0.000
#> AF3648D6-C774-48CC-9428-ADC00402A562 3 0.0000 0.9935 0.000 0.000 1.000
#> BD406B65-B715-444E-95B4-F38D05BAC863 1 0.6140 0.3231 0.596 0.404 0.000
#> 6DB67CA1-0BEB-4585-9867-40E7C8A96D55 2 0.0000 0.9195 0.000 1.000 0.000
#> 49C9DE1D-784D-405A-9DD3-C4D2890D0309 1 0.3918 0.7996 0.868 0.120 0.012
#> 05EC4D30-D34E-4497-B4F4-80AEDC2E70DF 1 0.3551 0.7896 0.868 0.000 0.132
#> CB69E76B-7CD3-49EF-9ADF-75701FE1D0A8 1 0.5678 0.4645 0.684 0.316 0.000
#> 103C6E25-A69A-460E-81C0-7437547E1334 2 0.5591 0.4731 0.304 0.696 0.000
#> 2D986DB0-B5A8-42E8-ACB8-926A16FAABD6 2 0.0000 0.9195 0.000 1.000 0.000
#> 1B9A0F24-8A3F-4693-B09C-5F0EFE5A32A5 1 0.3752 0.7851 0.856 0.144 0.000
#> C064D1FE-753E-4493-907C-C5FFE19F9875 2 0.0000 0.9195 0.000 1.000 0.000
#> 71596860-AEFA-4B94-8ADE-AC33CEA24DD4 2 0.0000 0.9195 0.000 1.000 0.000
#> E9A3A454-AB4D-4683-B276-84DA43792DBB 1 0.0747 0.8004 0.984 0.016 0.000
#> C5717869-8413-4810-A042-32E949AD3B0A 1 0.2434 0.8181 0.940 0.036 0.024
#> F36B393E-859C-49F8-BDF4-ED2CEF4C6307 2 0.6309 0.0786 0.496 0.504 0.000
#> 4CC9D3F9-983F-4CB2-91F1-0FBB86D53DC3 2 0.0237 0.9181 0.004 0.996 0.000
#> D450F074-CA68-49CE-B0B3-F81A91D54867 2 0.1031 0.9162 0.024 0.976 0.000
#> 2BBD504E-FE90-4142-9204-0E33B6B56C7E 2 0.2537 0.9017 0.080 0.920 0.000
#> 1A457CBF-24DA-44F1-B9ED-F26B8D1245D4 2 0.1411 0.9112 0.036 0.964 0.000
#> F29B5A39-866E-4C9D-BC26-B726FEA5F576 1 0.3482 0.7971 0.872 0.128 0.000
#> 89A4972A-8C91-4272-96BE-BCA9BC447780 2 0.0000 0.9195 0.000 1.000 0.000
#> 70B014FD-A0D0-418C-B55F-D09BAE213D52 2 0.0000 0.9195 0.000 1.000 0.000
#> 8139F417-0548-40B4-851F-A4E149A2E06A 1 0.3551 0.7945 0.868 0.132 0.000
#> 6E9F0021-FA91-4516-9B04-6A978034CECF 1 0.1964 0.8170 0.944 0.056 0.000
#> 49DAF1CD-8E20-433B-91A7-8C885ACB21A5 1 0.6140 0.2701 0.596 0.404 0.000
#> 093765A6-145C-47C3-B87B-4560CD632B4C 2 0.0000 0.9195 0.000 1.000 0.000
#> 90731001-45B2-4601-93F5-064BDD519A30 3 0.0000 0.9935 0.000 0.000 1.000
#> 40BCB65D-BC26-4FEF-941F-6F4A42D475EB 2 0.0000 0.9195 0.000 1.000 0.000
#> 204317C4-B927-4CAC-AADF-E16D19410ADB 2 0.0000 0.9195 0.000 1.000 0.000
#> 1023707A-D6DE-432A-AD2D-2318C3F91FA2 2 0.1163 0.9135 0.028 0.972 0.000
#> 06F79E8E-50E3-485A-82E9-C7CD4C72333B 2 0.0000 0.9195 0.000 1.000 0.000
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#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.0000 0.9935 0.000 0.000 1.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.1999 0.8184 0.952 0.036 0.012
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.0000 0.9935 0.000 0.000 1.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 2 0.4887 0.7864 0.228 0.772 0.000
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.0000 0.9935 0.000 0.000 1.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.0000 0.9195 0.000 1.000 0.000
#> FC7821F4-6495-4545-A22A-764BB99B3F79 2 0.5859 0.3802 0.344 0.656 0.000
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.1964 0.9072 0.056 0.944 0.000
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.1860 0.9081 0.052 0.948 0.000
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.2537 0.8985 0.080 0.920 0.000
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.0000 0.9195 0.000 1.000 0.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 1 0.6111 0.3399 0.604 0.396 0.000
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 2 0.5560 0.6871 0.300 0.700 0.000
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.0000 0.9195 0.000 1.000 0.000
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0000 0.9935 0.000 0.000 1.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 1 0.6045 0.2958 0.620 0.380 0.000
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.0424 0.9189 0.008 0.992 0.000
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 1 0.2056 0.8184 0.952 0.024 0.024
#> BEE081CA-8420-4314-88A0-286BB30FFD65 2 0.4504 0.8293 0.196 0.804 0.000
#> C464CD1D-4519-48E8-A18A-403F691E5702 1 0.2537 0.8140 0.920 0.080 0.000
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.3551 0.7896 0.868 0.000 0.132
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.2625 0.9018 0.084 0.916 0.000
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0000 0.9195 0.000 1.000 0.000
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.4370 0.8084 0.868 0.056 0.076
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.4063 0.8017 0.868 0.112 0.020
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.4483 0.54896 0.284 0.712 0.000 0.004
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 4 0.6474 0.10656 0.076 0.388 0.000 0.536
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 1 0.7192 -0.26600 0.488 0.368 0.000 0.144
#> 91202998-760F-4421-B1C4-18639962EDDA 4 0.1576 0.43082 0.048 0.000 0.004 0.948
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.1118 0.74718 0.036 0.964 0.000 0.000
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 2 0.7922 0.08853 0.320 0.344 0.000 0.336
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 4 0.5599 0.41263 0.316 0.040 0.000 0.644
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.0592 0.74839 0.000 0.984 0.000 0.016
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.5052 0.61802 0.244 0.720 0.000 0.036
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.5057 0.55174 0.340 0.648 0.000 0.012
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 4 0.5798 0.45431 0.184 0.112 0.000 0.704
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.2909 0.85959 0.000 0.020 0.888 0.092
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 2 0.5075 0.54960 0.344 0.644 0.000 0.012
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 1 0.4898 0.21304 0.772 0.156 0.000 0.072
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0469 0.98292 0.012 0.000 0.988 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.3649 0.64598 0.204 0.796 0.000 0.000
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.5088 0.53605 0.572 0.000 0.004 0.424
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 4 0.4985 -0.00520 0.000 0.468 0.000 0.532
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 2 0.4776 0.37816 0.000 0.624 0.000 0.376
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.4920 0.57153 0.628 0.004 0.000 0.368
#> D7A50E95-777C-47A6-8F93-031CB4770633 1 0.6658 0.13601 0.472 0.444 0.000 0.084
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.4914 0.56273 0.312 0.676 0.000 0.012
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 1 0.5913 0.54384 0.600 0.048 0.000 0.352
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 4 0.4605 0.05150 0.336 0.000 0.000 0.664
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.5599 0.53606 0.352 0.616 0.000 0.032
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 2 0.7606 0.33644 0.348 0.444 0.000 0.208
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.5110 0.54538 0.352 0.636 0.000 0.012
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.0804 0.74783 0.012 0.980 0.000 0.008
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.0336 0.98368 0.008 0.000 0.992 0.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.4776 0.60974 0.272 0.712 0.000 0.016
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 2 0.4866 0.32122 0.000 0.596 0.000 0.404
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 2 0.6452 0.54847 0.268 0.620 0.000 0.112
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.0336 0.74926 0.000 0.992 0.000 0.008
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.0188 0.75014 0.004 0.996 0.000 0.000
#> 2846A3AC-D102-4E37-9B72-139ED727157A 2 0.4955 0.55281 0.344 0.648 0.000 0.008
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.4632 0.51376 0.308 0.688 0.000 0.004
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 4 0.3306 0.29205 0.156 0.000 0.004 0.840
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.5151 0.49059 0.532 0.000 0.004 0.464
#> 150F5B77-4848-4D68-800A-0A0236C3661F 2 0.6445 0.50218 0.304 0.600 0.000 0.096
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.4936 0.57019 0.624 0.000 0.004 0.372
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.0469 0.75004 0.012 0.988 0.000 0.000
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.0188 0.75014 0.004 0.996 0.000 0.000
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 4 0.4456 0.06077 0.280 0.000 0.004 0.716
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 2 0.7287 0.38148 0.384 0.464 0.000 0.152
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.3975 0.60374 0.240 0.760 0.000 0.000
#> 1447B543-D3AC-41B5-878F-B382FE49421B 1 0.5016 0.55917 0.600 0.004 0.000 0.396
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 1 0.6229 0.07225 0.528 0.416 0.000 0.056
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 2 0.5815 0.25109 0.032 0.540 0.000 0.428
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.0000 0.98460 0.000 0.000 1.000 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 2 0.5151 0.17559 0.004 0.532 0.000 0.464
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 4 0.7503 0.25084 0.300 0.212 0.000 0.488
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.5088 0.53605 0.572 0.000 0.004 0.424
#> D9225689-21E0-478A-8F79-C26542938B8D 2 0.6204 0.59459 0.164 0.672 0.000 0.164
#> FC3BA46D-57F6-424C-8D62-16C441035969 2 0.6074 0.52333 0.340 0.600 0.000 0.060
#> 045CFFE6-4736-42F2-9340-C37690E47882 3 0.0000 0.98460 0.000 0.000 1.000 0.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 4 0.5842 0.33408 0.448 0.032 0.000 0.520
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 1 0.7133 0.22215 0.512 0.344 0.000 0.144
#> E94B217F-C5DC-4F42-8135-E81F338914B5 2 0.6906 0.43763 0.156 0.580 0.000 0.264
#> AE4C3956-76DF-4059-8D69-3D764F31817F 2 0.4624 0.56097 0.340 0.660 0.000 0.000
#> 33D6A38E-CD99-437B-99E0-04E72582F777 2 0.4804 0.36217 0.000 0.616 0.000 0.384
#> 8379051C-5847-42B5-AC5C-A128C166AB97 4 0.4843 0.17487 0.000 0.396 0.000 0.604
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 4 0.5060 0.14015 0.004 0.412 0.000 0.584
#> 40A16429-229E-4F40-BFC7-263554438F99 2 0.7128 0.43134 0.320 0.528 0.000 0.152
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 2 0.7554 0.33392 0.376 0.432 0.000 0.192
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 2 0.6686 0.27740 0.092 0.520 0.000 0.388
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 4 0.5080 -0.28567 0.420 0.000 0.004 0.576
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 4 0.4477 0.33907 0.000 0.312 0.000 0.688
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.1389 0.74279 0.048 0.952 0.000 0.000
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 4 0.4877 0.14963 0.000 0.408 0.000 0.592
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 4 0.4941 0.09001 0.000 0.436 0.000 0.564
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 2 0.0937 0.74923 0.012 0.976 0.000 0.012
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.0469 0.74853 0.012 0.988 0.000 0.000
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 2 0.5130 0.55437 0.332 0.652 0.000 0.016
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 4 0.4262 0.43032 0.008 0.236 0.000 0.756
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 1 0.5497 0.01139 0.524 0.460 0.000 0.016
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 2 0.5022 0.55382 0.028 0.708 0.000 0.264
#> FDB47AC4-CE6A-428B-9B55-EBCEF1970ACB 4 0.7910 -0.02424 0.320 0.316 0.000 0.364
#> 133B7E7B-FD50-48A2-9A35-E6D44FAB976B 1 0.6125 -0.31343 0.516 0.436 0.000 0.048
#> E69E45DA-66A6-438A-9BFC-5F1F7F5C5A87 4 0.5475 0.41742 0.308 0.036 0.000 0.656
#> 6E242DF5-8B8B-4C6F-870E-C7ADFFAFDF3E 2 0.0336 0.74926 0.000 0.992 0.000 0.008
#> CB7BBFF1-4BF3-42A9-85C6-680D91503799 4 0.1489 0.43456 0.044 0.004 0.000 0.952
#> 70AA4670-C75B-4E39-8958-3F9C29811871 2 0.2131 0.74056 0.032 0.932 0.000 0.036
#> D63C5178-4FF7-4FD0-B87E-6CBF6E7BEF5B 2 0.0188 0.74957 0.000 0.996 0.000 0.004
#> 814391F8-C5B9-43F6-A330-A6749BB8F16E 2 0.6278 0.26502 0.060 0.532 0.000 0.408
#> 146ED7EA-BF3C-4BAB-B33C-0A668AB13C80 4 0.3710 0.45513 0.192 0.004 0.000 0.804
#> FD5CAFE8-E669-406A-A505-A47DCDC32E93 4 0.6652 0.39112 0.316 0.108 0.000 0.576
#> 4B3C7910-A652-45B5-8218-9002EB0FD9EB 2 0.5866 0.53835 0.324 0.624 0.000 0.052
#> E410F77D-E31F-4D73-ACAC-9245935A92F5 1 0.6991 -0.00577 0.580 0.188 0.000 0.232
#> 64336403-9037-480C-873A-67BC77119FA5 2 0.1022 0.74625 0.032 0.968 0.000 0.000
#> 6F9D5013-3B1B-41EE-85DB-E51F5D828DEF 4 0.5517 0.41461 0.316 0.036 0.000 0.648
#> 155AEBBD-1C12-4F88-90C7-1C7FF7E3FB2C 4 0.4992 -0.02939 0.000 0.476 0.000 0.524
#> D28DDCAA-682C-451F-8327-D2C2AFB044E2 2 0.2149 0.73393 0.088 0.912 0.000 0.000
#> 171523DC-2713-4EBF-A115-53A0BA174545 3 0.0000 0.98460 0.000 0.000 1.000 0.000
#> FD223304-87BA-4462-A5E5-01AB8C018C35 1 0.5158 0.47167 0.524 0.004 0.000 0.472
#> D8E06D8A-9063-4466-A3B0-7724F4737C7A 2 0.5560 0.33733 0.024 0.584 0.000 0.392
#> FFA5FFF7-6301-4CD8-8E63-A4D8294D1B0E 2 0.7665 0.28497 0.384 0.404 0.000 0.212
#> AF3648D6-C774-48CC-9428-ADC00402A562 3 0.0000 0.98460 0.000 0.000 1.000 0.000
#> BD406B65-B715-444E-95B4-F38D05BAC863 4 0.2342 0.45546 0.008 0.080 0.000 0.912
#> 6DB67CA1-0BEB-4585-9867-40E7C8A96D55 2 0.0817 0.74795 0.024 0.976 0.000 0.000
#> 49C9DE1D-784D-405A-9DD3-C4D2890D0309 1 0.4991 0.56339 0.608 0.004 0.000 0.388
#> 05EC4D30-D34E-4497-B4F4-80AEDC2E70DF 1 0.5088 0.53605 0.572 0.000 0.004 0.424
#> CB69E76B-7CD3-49EF-9ADF-75701FE1D0A8 4 0.5557 0.41621 0.308 0.040 0.000 0.652
#> 103C6E25-A69A-460E-81C0-7437547E1334 1 0.5663 0.07141 0.536 0.440 0.000 0.024
#> 2D986DB0-B5A8-42E8-ACB8-926A16FAABD6 2 0.0336 0.74926 0.000 0.992 0.000 0.008
#> 1B9A0F24-8A3F-4693-B09C-5F0EFE5A32A5 1 0.5492 0.54144 0.640 0.032 0.000 0.328
#> C064D1FE-753E-4493-907C-C5FFE19F9875 2 0.0921 0.74693 0.028 0.972 0.000 0.000
#> 71596860-AEFA-4B94-8ADE-AC33CEA24DD4 2 0.1059 0.74817 0.012 0.972 0.000 0.016
#> E9A3A454-AB4D-4683-B276-84DA43792DBB 4 0.3726 0.45081 0.212 0.000 0.000 0.788
#> C5717869-8413-4810-A042-32E949AD3B0A 4 0.0564 0.45229 0.004 0.004 0.004 0.988
#> F36B393E-859C-49F8-BDF4-ED2CEF4C6307 4 0.7122 0.32922 0.192 0.248 0.000 0.560
#> 4CC9D3F9-983F-4CB2-91F1-0FBB86D53DC3 2 0.4008 0.59197 0.244 0.756 0.000 0.000
#> D450F074-CA68-49CE-B0B3-F81A91D54867 2 0.6141 0.47463 0.076 0.624 0.000 0.300
#> 2BBD504E-FE90-4142-9204-0E33B6B56C7E 2 0.6824 0.46884 0.324 0.556 0.000 0.120
#> 1A457CBF-24DA-44F1-B9ED-F26B8D1245D4 2 0.3444 0.63026 0.000 0.816 0.000 0.184
#> F29B5A39-866E-4C9D-BC26-B726FEA5F576 1 0.4920 0.57104 0.628 0.004 0.000 0.368
#> 89A4972A-8C91-4272-96BE-BCA9BC447780 2 0.0937 0.74921 0.012 0.976 0.000 0.012
#> 70B014FD-A0D0-418C-B55F-D09BAE213D52 2 0.0524 0.74962 0.004 0.988 0.000 0.008
#> 8139F417-0548-40B4-851F-A4E149A2E06A 1 0.4920 0.57153 0.628 0.004 0.000 0.368
#> 6E9F0021-FA91-4516-9B04-6A978034CECF 4 0.5508 -0.25739 0.408 0.020 0.000 0.572
#> 49DAF1CD-8E20-433B-91A7-8C885ACB21A5 1 0.6585 0.03785 0.632 0.188 0.000 0.180
#> 093765A6-145C-47C3-B87B-4560CD632B4C 2 0.2868 0.69317 0.136 0.864 0.000 0.000
#> 90731001-45B2-4601-93F5-064BDD519A30 3 0.0592 0.98224 0.016 0.000 0.984 0.000
#> 40BCB65D-BC26-4FEF-941F-6F4A42D475EB 2 0.2469 0.72077 0.108 0.892 0.000 0.000
#> 204317C4-B927-4CAC-AADF-E16D19410ADB 2 0.0336 0.74926 0.000 0.992 0.000 0.008
#> 1023707A-D6DE-432A-AD2D-2318C3F91FA2 2 0.0336 0.74926 0.000 0.992 0.000 0.008
#> 06F79E8E-50E3-485A-82E9-C7CD4C72333B 2 0.0188 0.75014 0.004 0.996 0.000 0.000
#> BFAF5464-D239-4A03-AC34-984DEBA84451 2 0.7269 0.37424 0.396 0.456 0.000 0.148
#> 96C7C73E-F3E1-4937-A267-B7DAAD8EDE37 4 0.5088 0.11371 0.004 0.424 0.000 0.572
#> 1D94B33B-9A3F-40BA-90AF-5248ED058C6F 1 0.7235 -0.28325 0.480 0.372 0.000 0.148
#> 3407B68D-0277-465B-8819-10FAE3EE6572 3 0.0592 0.98224 0.016 0.000 0.984 0.000
#> 868CD0D0-1CB4-4F61-B4ED-EB0C93DD950F 4 0.7834 0.05874 0.368 0.260 0.000 0.372
#> 823383C2-6F4D-4C0C-8640-3981A7ED1226 1 0.4920 0.57153 0.628 0.004 0.000 0.368
#> 95B76301-6382-4F6E-9E09-60EEFEEA03D5 2 0.0336 0.74926 0.000 0.992 0.000 0.008
#> 50A46A4F-883E-4DAA-BD16-FCCC5FA3FCD9 2 0.2500 0.73914 0.044 0.916 0.000 0.040
#> 5037DC80-5E81-4281-89A0-E0B58071B1D9 1 0.4936 0.57019 0.624 0.000 0.004 0.372
#> 6A228156-7365-4A4D-8E66-AA687BF37A24 1 0.4920 0.57108 0.628 0.000 0.004 0.368
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#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.0000 0.98460 0.000 0.000 1.000 0.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.0592 0.98224 0.016 0.000 0.984 0.000
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 2 0.5203 0.54491 0.348 0.636 0.000 0.016
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 2 0.3398 0.72799 0.060 0.872 0.000 0.068
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.3569 0.63485 0.196 0.804 0.000 0.000
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 4 0.1489 0.43456 0.044 0.004 0.000 0.952
#> 343F031B-0095-429D-8212-AD0581DBB05B 4 0.3266 0.45728 0.168 0.000 0.000 0.832
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 2 0.7246 0.36742 0.408 0.448 0.000 0.144
#> 03A226C5-398D-41D2-BB72-C97A373CD512 4 0.5000 -0.30242 0.496 0.000 0.000 0.504
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 2 0.4925 0.27048 0.000 0.572 0.000 0.428
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 1 0.7593 -0.20616 0.472 0.300 0.000 0.228
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 1 0.5070 0.57131 0.620 0.008 0.000 0.372
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.5774 0.10276 0.464 0.508 0.000 0.028
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.1661 0.74586 0.052 0.944 0.000 0.004
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.0336 0.74926 0.000 0.992 0.000 0.008
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.0000 0.98460 0.000 0.000 1.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.5088 0.53605 0.572 0.000 0.004 0.424
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.0336 0.98368 0.008 0.000 0.992 0.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 4 0.7004 0.35221 0.220 0.200 0.000 0.580
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.0592 0.98224 0.016 0.000 0.984 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.0000 0.75006 0.000 1.000 0.000 0.000
#> FC7821F4-6495-4545-A22A-764BB99B3F79 1 0.5856 0.16143 0.556 0.408 0.000 0.036
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.4482 0.60003 0.264 0.728 0.000 0.008
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.6258 0.42289 0.076 0.600 0.000 0.324
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.5733 0.46738 0.048 0.640 0.000 0.312
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.0469 0.74853 0.012 0.988 0.000 0.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 1 0.5610 0.15275 0.720 0.176 0.000 0.104
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 4 0.6446 0.39307 0.328 0.088 0.000 0.584
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.1389 0.74279 0.048 0.952 0.000 0.000
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0000 0.98460 0.000 0.000 1.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 4 0.6252 0.33223 0.432 0.056 0.000 0.512
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.0188 0.74957 0.000 0.996 0.000 0.004
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 4 0.0895 0.44424 0.020 0.000 0.004 0.976
#> BEE081CA-8420-4314-88A0-286BB30FFD65 4 0.6634 0.38465 0.336 0.100 0.000 0.564
#> C464CD1D-4519-48E8-A18A-403F691E5702 1 0.5193 0.49343 0.656 0.020 0.000 0.324
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.5088 0.53605 0.572 0.000 0.004 0.424
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.7287 0.38148 0.384 0.464 0.000 0.152
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0592 0.74862 0.016 0.984 0.000 0.000
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.5190 0.55374 0.596 0.004 0.004 0.396
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.4920 0.57108 0.628 0.000 0.004 0.368
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.4863 0.58145 0.272 0.672 0.000 0.000 0.056
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 4 0.4101 0.72906 0.000 0.048 0.000 0.768 0.184
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 5 0.3248 0.77401 0.064 0.048 0.000 0.020 0.868
#> 91202998-760F-4421-B1C4-18639962EDDA 4 0.2069 0.76308 0.076 0.000 0.000 0.912 0.012
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.0510 0.82704 0.000 0.984 0.000 0.000 0.016
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 5 0.4594 0.43657 0.000 0.036 0.000 0.284 0.680
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 4 0.4426 0.49661 0.004 0.004 0.000 0.612 0.380
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.0794 0.81678 0.000 0.972 0.000 0.028 0.000
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 5 0.4538 0.31240 0.000 0.452 0.000 0.008 0.540
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 5 0.3607 0.72694 0.000 0.244 0.000 0.004 0.752
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 4 0.2158 0.78124 0.008 0.020 0.000 0.920 0.052
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.4176 0.73915 0.000 0.004 0.792 0.108 0.096
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 5 0.3715 0.71266 0.000 0.260 0.000 0.004 0.736
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 5 0.3305 0.64700 0.224 0.000 0.000 0.000 0.776
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0566 0.98329 0.000 0.000 0.984 0.004 0.012
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.3930 0.69957 0.152 0.792 0.000 0.000 0.056
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.1124 0.86490 0.960 0.000 0.000 0.036 0.004
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 4 0.3427 0.76878 0.000 0.056 0.000 0.836 0.108
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 4 0.5606 0.54395 0.000 0.296 0.000 0.600 0.104
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.1205 0.86855 0.956 0.004 0.000 0.000 0.040
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.4063 0.60882 0.280 0.708 0.000 0.000 0.012
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 5 0.4009 0.65272 0.000 0.312 0.000 0.004 0.684
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 1 0.1638 0.85872 0.932 0.004 0.000 0.000 0.064
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 4 0.5294 0.10711 0.380 0.000 0.000 0.564 0.056
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 5 0.2074 0.78697 0.000 0.104 0.000 0.000 0.896
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 5 0.2451 0.77940 0.004 0.056 0.000 0.036 0.904
#> 1139D935-739E-4C42-BFCB-06021A85932E 5 0.3607 0.72400 0.000 0.244 0.000 0.004 0.752
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.0613 0.82673 0.004 0.984 0.000 0.008 0.004
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.0324 0.98475 0.000 0.000 0.992 0.004 0.004
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 5 0.6032 0.11890 0.116 0.424 0.000 0.000 0.460
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 4 0.4671 0.70986 0.000 0.144 0.000 0.740 0.116
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 2 0.5689 0.25100 0.072 0.528 0.000 0.004 0.396
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.0451 0.82601 0.000 0.988 0.000 0.008 0.004
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.0290 0.82792 0.000 0.992 0.000 0.000 0.008
#> 2846A3AC-D102-4E37-9B72-139ED727157A 5 0.3969 0.66196 0.000 0.304 0.000 0.004 0.692
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.5053 0.50298 0.324 0.624 0.000 0.000 0.052
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 4 0.2179 0.74465 0.112 0.000 0.000 0.888 0.000
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.3098 0.77815 0.836 0.000 0.000 0.148 0.016
#> 150F5B77-4848-4D68-800A-0A0236C3661F 5 0.3759 0.74448 0.000 0.220 0.000 0.016 0.764
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.1205 0.86855 0.956 0.004 0.000 0.000 0.040
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.0290 0.82792 0.000 0.992 0.000 0.000 0.008
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.0162 0.82852 0.000 0.996 0.000 0.000 0.004
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 1 0.4610 0.30853 0.556 0.000 0.000 0.432 0.012
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 5 0.2321 0.78374 0.008 0.056 0.000 0.024 0.912
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.4269 0.66690 0.188 0.756 0.000 0.000 0.056
#> 1447B543-D3AC-41B5-878F-B382FE49421B 1 0.0963 0.87117 0.964 0.000 0.000 0.000 0.036
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 1 0.5639 0.27292 0.568 0.340 0.000 0.000 0.092
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 4 0.5472 0.63862 0.000 0.140 0.000 0.652 0.208
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.0000 0.98580 0.000 0.000 1.000 0.000 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 4 0.3691 0.76247 0.000 0.076 0.000 0.820 0.104
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 5 0.4329 0.55871 0.000 0.032 0.000 0.252 0.716
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.1124 0.86490 0.960 0.000 0.000 0.036 0.004
#> D9225689-21E0-478A-8F79-C26542938B8D 5 0.6413 0.38261 0.008 0.232 0.000 0.208 0.552
#> FC3BA46D-57F6-424C-8D62-16C441035969 5 0.2674 0.78040 0.000 0.120 0.000 0.012 0.868
#> 045CFFE6-4736-42F2-9340-C37690E47882 3 0.0000 0.98580 0.000 0.000 1.000 0.000 0.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 5 0.2171 0.74222 0.024 0.000 0.000 0.064 0.912
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 2 0.6785 -0.11285 0.280 0.360 0.000 0.000 0.360
#> E94B217F-C5DC-4F42-8135-E81F338914B5 2 0.6819 -0.21178 0.000 0.356 0.000 0.320 0.324
#> AE4C3956-76DF-4059-8D69-3D764F31817F 5 0.3636 0.70031 0.000 0.272 0.000 0.000 0.728
#> 33D6A38E-CD99-437B-99E0-04E72582F777 4 0.5236 0.66919 0.000 0.164 0.000 0.684 0.152
#> 8379051C-5847-42B5-AC5C-A128C166AB97 4 0.2708 0.78135 0.000 0.044 0.000 0.884 0.072
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 4 0.3019 0.77736 0.000 0.048 0.000 0.864 0.088
#> 40A16429-229E-4F40-BFC7-263554438F99 5 0.2676 0.77684 0.000 0.080 0.000 0.036 0.884
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 5 0.4687 0.64210 0.008 0.080 0.000 0.164 0.748
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 4 0.5368 0.52797 0.000 0.072 0.000 0.596 0.332
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 1 0.3970 0.75840 0.800 0.000 0.000 0.096 0.104
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 4 0.1741 0.77992 0.000 0.040 0.000 0.936 0.024
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.0798 0.82309 0.016 0.976 0.000 0.000 0.008
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 4 0.2830 0.78029 0.000 0.044 0.000 0.876 0.080
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 4 0.3102 0.77673 0.000 0.056 0.000 0.860 0.084
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 2 0.0451 0.82656 0.000 0.988 0.000 0.004 0.008
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.0000 0.82858 0.000 1.000 0.000 0.000 0.000
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 5 0.3196 0.75992 0.000 0.192 0.000 0.004 0.804
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 4 0.2267 0.78472 0.008 0.028 0.000 0.916 0.048
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 2 0.5401 0.19062 0.452 0.492 0.000 0.000 0.056
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 2 0.6956 -0.18856 0.004 0.348 0.000 0.316 0.332
#> FDB47AC4-CE6A-428B-9B55-EBCEF1970ACB 5 0.2712 0.73081 0.000 0.032 0.000 0.088 0.880
#> 133B7E7B-FD50-48A2-9A35-E6D44FAB976B 5 0.3893 0.73295 0.140 0.052 0.000 0.004 0.804
#> E69E45DA-66A6-438A-9BFC-5F1F7F5C5A87 4 0.2179 0.77359 0.004 0.000 0.000 0.896 0.100
#> 6E242DF5-8B8B-4C6F-870E-C7ADFFAFDF3E 2 0.0162 0.82798 0.000 0.996 0.000 0.000 0.004
#> CB7BBFF1-4BF3-42A9-85C6-680D91503799 4 0.1571 0.76917 0.060 0.000 0.000 0.936 0.004
#> 70AA4670-C75B-4E39-8958-3F9C29811871 2 0.4218 0.44563 0.000 0.660 0.000 0.008 0.332
#> D63C5178-4FF7-4FD0-B87E-6CBF6E7BEF5B 2 0.0162 0.82789 0.000 0.996 0.000 0.004 0.000
#> 814391F8-C5B9-43F6-A330-A6749BB8F16E 4 0.4969 0.61472 0.000 0.056 0.000 0.652 0.292
#> 146ED7EA-BF3C-4BAB-B33C-0A668AB13C80 4 0.1818 0.77651 0.024 0.000 0.000 0.932 0.044
#> FD5CAFE8-E669-406A-A505-A47DCDC32E93 4 0.3551 0.71725 0.000 0.008 0.000 0.772 0.220
#> 4B3C7910-A652-45B5-8218-9002EB0FD9EB 5 0.2439 0.78086 0.000 0.120 0.000 0.004 0.876
#> E410F77D-E31F-4D73-ACAC-9245935A92F5 5 0.2772 0.77515 0.044 0.032 0.000 0.028 0.896
#> 64336403-9037-480C-873A-67BC77119FA5 2 0.0992 0.82057 0.024 0.968 0.000 0.000 0.008
#> 6F9D5013-3B1B-41EE-85DB-E51F5D828DEF 4 0.2886 0.76597 0.008 0.000 0.000 0.844 0.148
#> 155AEBBD-1C12-4F88-90C7-1C7FF7E3FB2C 4 0.3622 0.76265 0.000 0.056 0.000 0.820 0.124
#> D28DDCAA-682C-451F-8327-D2C2AFB044E2 2 0.4227 0.17913 0.000 0.580 0.000 0.000 0.420
#> 171523DC-2713-4EBF-A115-53A0BA174545 3 0.0000 0.98580 0.000 0.000 1.000 0.000 0.000
#> FD223304-87BA-4462-A5E5-01AB8C018C35 1 0.6491 0.13584 0.484 0.000 0.000 0.296 0.220
#> D8E06D8A-9063-4466-A3B0-7724F4737C7A 4 0.4898 0.64833 0.000 0.068 0.000 0.684 0.248
#> FFA5FFF7-6301-4CD8-8E63-A4D8294D1B0E 5 0.2321 0.78374 0.008 0.056 0.000 0.024 0.912
#> AF3648D6-C774-48CC-9428-ADC00402A562 3 0.0000 0.98580 0.000 0.000 1.000 0.000 0.000
#> BD406B65-B715-444E-95B4-F38D05BAC863 4 0.3241 0.78031 0.028 0.012 0.000 0.856 0.104
#> 6DB67CA1-0BEB-4585-9867-40E7C8A96D55 2 0.0451 0.82724 0.008 0.988 0.000 0.000 0.004
#> 49C9DE1D-784D-405A-9DD3-C4D2890D0309 1 0.0865 0.87055 0.972 0.004 0.000 0.000 0.024
#> 05EC4D30-D34E-4497-B4F4-80AEDC2E70DF 1 0.1124 0.86490 0.960 0.000 0.000 0.036 0.004
#> CB69E76B-7CD3-49EF-9ADF-75701FE1D0A8 4 0.2389 0.77283 0.004 0.000 0.000 0.880 0.116
#> 103C6E25-A69A-460E-81C0-7437547E1334 2 0.5330 0.34871 0.396 0.548 0.000 0.000 0.056
#> 2D986DB0-B5A8-42E8-ACB8-926A16FAABD6 2 0.0162 0.82798 0.000 0.996 0.000 0.000 0.004
#> 1B9A0F24-8A3F-4693-B09C-5F0EFE5A32A5 1 0.1557 0.86240 0.940 0.008 0.000 0.000 0.052
#> C064D1FE-753E-4493-907C-C5FFE19F9875 2 0.0324 0.82804 0.004 0.992 0.000 0.000 0.004
#> 71596860-AEFA-4B94-8ADE-AC33CEA24DD4 2 0.1205 0.81386 0.004 0.956 0.000 0.000 0.040
#> E9A3A454-AB4D-4683-B276-84DA43792DBB 4 0.2193 0.76456 0.060 0.000 0.000 0.912 0.028
#> C5717869-8413-4810-A042-32E949AD3B0A 4 0.2905 0.77953 0.036 0.000 0.000 0.868 0.096
#> F36B393E-859C-49F8-BDF4-ED2CEF4C6307 4 0.4468 0.72158 0.008 0.040 0.000 0.740 0.212
#> 4CC9D3F9-983F-4CB2-91F1-0FBB86D53DC3 2 0.2674 0.76099 0.120 0.868 0.000 0.000 0.012
#> D450F074-CA68-49CE-B0B3-F81A91D54867 4 0.7135 0.16001 0.012 0.336 0.000 0.352 0.300
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#> C7008665-F6DE-48B4-A0E7-6C388B72C609 2 0.0162 0.82852 0.000 0.996 0.000 0.000 0.004
#> 50F984AB-95C1-4D7B-A787-418CBB59D165 4 0.2522 0.78188 0.052 0.000 0.000 0.896 0.052
#> 5FFD2A6A-ED8A-44A9-9FC1-3106341C284A 5 0.4278 0.38828 0.000 0.452 0.000 0.000 0.548
#> 7481630E-5CBA-4A4A-A16F-E327BCEE11D3 1 0.1282 0.86922 0.952 0.004 0.000 0.000 0.044
#> 7B3E6643-C148-4266-A3A3-80BAB713DD3E 2 0.0290 0.82792 0.000 0.992 0.000 0.000 0.008
#> BA8564FA-8D4D-4B2F-A178-63209F887A05 1 0.2597 0.85386 0.896 0.004 0.000 0.040 0.060
#> 2FB578F6-E8B7-434D-9720-D448A26C1EFD 1 0.1205 0.86855 0.956 0.004 0.000 0.000 0.040
#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 2 0.5139 0.50819 0.316 0.624 0.000 0.000 0.060
#> 740FCE46-8A4A-4A6A-B79F-78A63D28E313 5 0.3895 0.64157 0.000 0.320 0.000 0.000 0.680
#> 523A5832-0C42-44A4-A58F-7011C3A567DC 3 0.0000 0.98580 0.000 0.000 1.000 0.000 0.000
#> A2C68C81-7371-4E0C-BFD1-EA868A7C9499 2 0.2470 0.77276 0.104 0.884 0.000 0.000 0.012
#> 2EB7025A-D932-4238-BD60-609B25150029 5 0.2362 0.77513 0.024 0.032 0.000 0.028 0.916
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 5 0.3730 0.68779 0.000 0.288 0.000 0.000 0.712
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 2 0.0324 0.82819 0.004 0.992 0.000 0.000 0.004
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 2 0.0290 0.82792 0.000 0.992 0.000 0.000 0.008
#> F081EA01-ED14-491B-9620-BF8F10A7431D 5 0.3619 0.70270 0.008 0.040 0.000 0.124 0.828
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 2 0.0693 0.82490 0.012 0.980 0.000 0.000 0.008
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 4 0.4172 0.73952 0.000 0.108 0.000 0.784 0.108
#> B54639CE-F721-4908-B758-309F148AD3C2 5 0.2206 0.78660 0.004 0.068 0.000 0.016 0.912
#> EB4294E1-3FBC-495C-A041-829A654B59C5 3 0.0566 0.98329 0.000 0.000 0.984 0.004 0.012
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 1 0.1205 0.86855 0.956 0.004 0.000 0.000 0.040
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.0162 0.82798 0.000 0.996 0.000 0.000 0.004
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 1 0.2153 0.84809 0.916 0.040 0.000 0.000 0.044
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.0162 0.82798 0.000 0.996 0.000 0.000 0.004
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 1 0.1205 0.86855 0.956 0.004 0.000 0.000 0.040
#> D34036E4-1122-42AE-B20F-F4C8515872A0 2 0.3636 0.48312 0.000 0.728 0.000 0.000 0.272
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 2 0.0740 0.82614 0.004 0.980 0.000 0.008 0.008
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 4 0.2573 0.74780 0.104 0.000 0.000 0.880 0.016
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 3 0.0000 0.98580 0.000 0.000 1.000 0.000 0.000
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.0000 0.82858 0.000 1.000 0.000 0.000 0.000
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.0290 0.82792 0.000 0.992 0.000 0.000 0.008
#> F3C13430-405E-432E-8F3E-0DD18E86087E 5 0.6120 0.52788 0.196 0.240 0.000 0.000 0.564
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.0324 0.82819 0.004 0.992 0.000 0.000 0.004
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 1 0.0771 0.87146 0.976 0.000 0.000 0.004 0.020
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.0162 0.82852 0.000 0.996 0.000 0.000 0.004
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.0566 0.82464 0.000 0.984 0.000 0.012 0.004
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 1 0.4735 0.50393 0.672 0.000 0.000 0.284 0.044
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.1877 0.79878 0.064 0.924 0.000 0.000 0.012
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.1205 0.86855 0.956 0.004 0.000 0.000 0.040
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 5 0.4719 0.56431 0.056 0.000 0.000 0.248 0.696
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 1 0.0898 0.86906 0.972 0.000 0.000 0.020 0.008
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.4294 0.03153 0.000 0.532 0.000 0.000 0.468
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.0000 0.98580 0.000 0.000 1.000 0.000 0.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.0566 0.98329 0.000 0.000 0.984 0.004 0.012
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 5 0.3790 0.69982 0.000 0.272 0.000 0.004 0.724
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 2 0.3653 0.70282 0.016 0.808 0.000 0.012 0.164
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.1942 0.79689 0.068 0.920 0.000 0.000 0.012
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 4 0.1697 0.77061 0.060 0.000 0.000 0.932 0.008
#> 343F031B-0095-429D-8212-AD0581DBB05B 4 0.2139 0.76827 0.052 0.000 0.000 0.916 0.032
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 5 0.2162 0.78868 0.012 0.064 0.000 0.008 0.916
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.4303 0.73740 0.752 0.000 0.000 0.192 0.056
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 4 0.5073 0.65178 0.000 0.212 0.000 0.688 0.100
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 5 0.2291 0.78268 0.012 0.048 0.000 0.024 0.916
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 1 0.1282 0.86726 0.952 0.004 0.000 0.000 0.044
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.5111 0.33627 0.408 0.552 0.000 0.000 0.040
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.3949 0.51374 0.004 0.696 0.000 0.000 0.300
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.0671 0.82300 0.000 0.980 0.000 0.016 0.004
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.0000 0.98580 0.000 0.000 1.000 0.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.1124 0.86490 0.960 0.000 0.000 0.036 0.004
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.0324 0.98475 0.000 0.000 0.992 0.004 0.004
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 4 0.3085 0.77514 0.000 0.032 0.000 0.852 0.116
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.0566 0.98329 0.000 0.000 0.984 0.004 0.012
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.0162 0.82798 0.000 0.996 0.000 0.000 0.004
#> FC7821F4-6495-4545-A22A-764BB99B3F79 1 0.4744 0.55248 0.692 0.252 0.000 0.000 0.056
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.4306 -0.24818 0.000 0.508 0.000 0.000 0.492
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 4 0.6604 0.50349 0.012 0.224 0.000 0.532 0.232
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 4 0.6657 0.24535 0.000 0.232 0.000 0.416 0.352
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.0000 0.82858 0.000 1.000 0.000 0.000 0.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 5 0.4351 0.61957 0.244 0.028 0.000 0.004 0.724
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 4 0.3455 0.72959 0.000 0.008 0.000 0.784 0.208
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.0898 0.82217 0.020 0.972 0.000 0.000 0.008
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0000 0.98580 0.000 0.000 1.000 0.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 5 0.2162 0.74888 0.012 0.008 0.000 0.064 0.916
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.0865 0.82186 0.000 0.972 0.000 0.024 0.004
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 4 0.1942 0.76553 0.068 0.000 0.000 0.920 0.012
#> BEE081CA-8420-4314-88A0-286BB30FFD65 4 0.4270 0.60074 0.000 0.012 0.000 0.668 0.320
#> C464CD1D-4519-48E8-A18A-403F691E5702 1 0.3366 0.73364 0.784 0.000 0.000 0.004 0.212
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.1124 0.86490 0.960 0.000 0.000 0.036 0.004
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 5 0.2390 0.78478 0.008 0.060 0.000 0.024 0.908
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0162 0.82852 0.000 0.996 0.000 0.000 0.004
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.2112 0.85128 0.908 0.004 0.000 0.004 0.084
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.1205 0.86855 0.956 0.004 0.000 0.000 0.040
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 1 0.4406 0.027828 0.516 0.464 0.000 0.000 0.008 0.012
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 4 0.5401 0.526426 0.000 0.004 0.000 0.596 0.164 0.236
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 5 0.1913 0.728336 0.016 0.016 0.000 0.000 0.924 0.044
#> 91202998-760F-4421-B1C4-18639962EDDA 4 0.0935 0.610865 0.004 0.000 0.000 0.964 0.000 0.032
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.0993 0.810570 0.000 0.964 0.000 0.000 0.024 0.012
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 5 0.3979 0.546533 0.000 0.000 0.000 0.172 0.752 0.076
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 4 0.5648 0.414474 0.000 0.000 0.000 0.516 0.304 0.180
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.1225 0.804446 0.000 0.952 0.000 0.012 0.000 0.036
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 5 0.4835 0.330115 0.000 0.408 0.000 0.004 0.540 0.048
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 5 0.2706 0.677752 0.000 0.160 0.000 0.000 0.832 0.008
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 4 0.0551 0.622337 0.004 0.000 0.000 0.984 0.008 0.004
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.4966 0.482840 0.000 0.004 0.644 0.064 0.012 0.276
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 5 0.3588 0.648987 0.000 0.180 0.000 0.000 0.776 0.044
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 5 0.4284 0.347504 0.392 0.004 0.000 0.000 0.588 0.016
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.1082 0.966558 0.000 0.000 0.956 0.000 0.004 0.040
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.4171 0.484144 0.320 0.656 0.000 0.000 0.012 0.012
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.3804 0.434621 0.656 0.000 0.000 0.008 0.000 0.336
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 4 0.4224 0.579834 0.000 0.012 0.000 0.660 0.016 0.312
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 4 0.5897 0.384940 0.000 0.136 0.000 0.484 0.016 0.364
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.0260 0.632239 0.992 0.000 0.000 0.000 0.000 0.008
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.3954 0.413306 0.372 0.620 0.000 0.000 0.004 0.004
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 5 0.3830 0.619533 0.000 0.212 0.000 0.000 0.744 0.044
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 1 0.1577 0.612716 0.940 0.008 0.000 0.000 0.036 0.016
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 4 0.5576 -0.086354 0.100 0.000 0.000 0.492 0.012 0.396
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 5 0.1346 0.733527 0.008 0.024 0.000 0.000 0.952 0.016
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 5 0.1836 0.726974 0.004 0.012 0.000 0.008 0.928 0.048
#> 1139D935-739E-4C42-BFCB-06021A85932E 5 0.3743 0.660292 0.024 0.160 0.000 0.000 0.788 0.028
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.1398 0.796530 0.000 0.940 0.000 0.000 0.008 0.052
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.0935 0.968343 0.000 0.000 0.964 0.004 0.000 0.032
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 5 0.5999 0.305340 0.220 0.252 0.000 0.000 0.516 0.012
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 4 0.4702 0.535824 0.000 0.028 0.000 0.596 0.016 0.360
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 5 0.6298 0.168681 0.256 0.308 0.000 0.000 0.424 0.012
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.2389 0.734926 0.000 0.864 0.000 0.000 0.008 0.128
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.0291 0.820930 0.000 0.992 0.000 0.000 0.004 0.004
#> 2846A3AC-D102-4E37-9B72-139ED727157A 5 0.3830 0.617837 0.000 0.212 0.000 0.000 0.744 0.044
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 1 0.4631 0.089720 0.528 0.440 0.000 0.000 0.020 0.012
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 4 0.0935 0.610865 0.004 0.000 0.000 0.964 0.000 0.032
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.5286 0.354358 0.604 0.000 0.000 0.116 0.008 0.272
#> 150F5B77-4848-4D68-800A-0A0236C3661F 5 0.3091 0.687559 0.000 0.148 0.000 0.004 0.824 0.024
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.0146 0.632484 0.996 0.000 0.000 0.000 0.000 0.004
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.1320 0.803099 0.000 0.948 0.000 0.000 0.036 0.016
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.0291 0.820930 0.000 0.992 0.000 0.000 0.004 0.004
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 4 0.6011 -0.159532 0.244 0.000 0.000 0.472 0.004 0.280
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 5 0.1210 0.730870 0.008 0.008 0.000 0.004 0.960 0.020
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.4459 0.344822 0.384 0.588 0.000 0.000 0.016 0.012
#> 1447B543-D3AC-41B5-878F-B382FE49421B 1 0.0146 0.632484 0.996 0.000 0.000 0.000 0.000 0.004
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 1 0.3958 0.483004 0.764 0.180 0.000 0.000 0.040 0.016
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 4 0.6707 0.414269 0.000 0.080 0.000 0.500 0.188 0.232
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.0000 0.973651 0.000 0.000 1.000 0.000 0.000 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 4 0.4358 0.557110 0.000 0.012 0.000 0.624 0.016 0.348
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 5 0.5734 0.318180 0.000 0.012 0.000 0.156 0.552 0.280
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.3804 0.434621 0.656 0.000 0.000 0.008 0.000 0.336
#> D9225689-21E0-478A-8F79-C26542938B8D 5 0.5952 0.399673 0.008 0.096 0.000 0.232 0.608 0.056
#> FC3BA46D-57F6-424C-8D62-16C441035969 5 0.2504 0.706177 0.004 0.088 0.000 0.000 0.880 0.028
#> 045CFFE6-4736-42F2-9340-C37690E47882 3 0.0000 0.973651 0.000 0.000 1.000 0.000 0.000 0.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 5 0.1914 0.719341 0.008 0.000 0.000 0.016 0.920 0.056
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 1 0.6162 0.170181 0.476 0.256 0.000 0.000 0.256 0.012
#> E94B217F-C5DC-4F42-8135-E81F338914B5 6 0.7366 0.078166 0.000 0.312 0.000 0.176 0.148 0.364
#> AE4C3956-76DF-4059-8D69-3D764F31817F 5 0.3201 0.648979 0.000 0.208 0.000 0.000 0.780 0.012
#> 33D6A38E-CD99-437B-99E0-04E72582F777 4 0.5606 0.482401 0.000 0.068 0.000 0.536 0.036 0.360
#> 8379051C-5847-42B5-AC5C-A128C166AB97 4 0.4009 0.587146 0.000 0.008 0.000 0.676 0.012 0.304
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 4 0.4009 0.587146 0.000 0.008 0.000 0.676 0.012 0.304
#> 40A16429-229E-4F40-BFC7-263554438F99 5 0.0964 0.733081 0.000 0.016 0.000 0.004 0.968 0.012
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#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.0870 0.819310 0.000 0.972 0.000 0.012 0.004 0.012
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 4 0.0858 0.612702 0.004 0.000 0.000 0.968 0.000 0.028
#> BEE081CA-8420-4314-88A0-286BB30FFD65 4 0.5097 0.265106 0.000 0.004 0.000 0.508 0.420 0.068
#> C464CD1D-4519-48E8-A18A-403F691E5702 1 0.4134 0.287820 0.640 0.000 0.000 0.004 0.340 0.016
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.3804 0.434621 0.656 0.000 0.000 0.008 0.000 0.336
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 5 0.1976 0.726999 0.008 0.032 0.000 0.004 0.924 0.032
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0291 0.820123 0.000 0.992 0.000 0.000 0.004 0.004
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.1958 0.578182 0.896 0.000 0.000 0.000 0.100 0.004
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.0146 0.632484 0.996 0.000 0.000 0.000 0.000 0.004
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["SD", "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 17109 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'SD' method.
#> Subgroups are detected by 'skmeans' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.799 0.888 0.954 0.4971 0.503 0.503
#> 3 3 0.517 0.627 0.814 0.3215 0.722 0.506
#> 4 4 0.599 0.641 0.799 0.1172 0.839 0.585
#> 5 5 0.858 0.843 0.936 0.0753 0.874 0.585
#> 6 6 0.779 0.696 0.849 0.0437 0.941 0.738
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
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.0000 0.952 0.000 1.000
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 2 0.9732 0.336 0.404 0.596
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 2 0.0000 0.952 0.000 1.000
#> 91202998-760F-4421-B1C4-18639962EDDA 1 0.0000 0.948 1.000 0.000
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.0000 0.952 0.000 1.000
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 2 0.0000 0.952 0.000 1.000
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 1 0.9833 0.261 0.576 0.424
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.0000 0.952 0.000 1.000
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.0000 0.952 0.000 1.000
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.0000 0.952 0.000 1.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 1 0.4815 0.851 0.896 0.104
#> 784B2359-6064-4FAA-9311-7A852F061FBB 1 0.0376 0.945 0.996 0.004
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 2 0.0000 0.952 0.000 1.000
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 1 0.9661 0.352 0.608 0.392
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 1 0.0000 0.948 1.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.0000 0.952 0.000 1.000
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.0000 0.948 1.000 0.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 2 0.0000 0.952 0.000 1.000
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 2 0.0000 0.952 0.000 1.000
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.0000 0.948 1.000 0.000
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.8207 0.639 0.256 0.744
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.0000 0.952 0.000 1.000
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 1 0.7219 0.736 0.800 0.200
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 1 0.0000 0.948 1.000 0.000
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.0000 0.952 0.000 1.000
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 2 0.0000 0.952 0.000 1.000
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.0000 0.952 0.000 1.000
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.0000 0.952 0.000 1.000
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 1 0.0000 0.948 1.000 0.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.0000 0.952 0.000 1.000
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 2 0.0000 0.952 0.000 1.000
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 2 0.0000 0.952 0.000 1.000
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.0000 0.952 0.000 1.000
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.0000 0.952 0.000 1.000
#> 2846A3AC-D102-4E37-9B72-139ED727157A 2 0.0000 0.952 0.000 1.000
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.0000 0.952 0.000 1.000
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 1 0.0000 0.948 1.000 0.000
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.0000 0.948 1.000 0.000
#> 150F5B77-4848-4D68-800A-0A0236C3661F 2 0.0000 0.952 0.000 1.000
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.0000 0.948 1.000 0.000
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.0000 0.952 0.000 1.000
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.0000 0.952 0.000 1.000
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 1 0.0000 0.948 1.000 0.000
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 2 0.8555 0.618 0.280 0.720
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.0000 0.952 0.000 1.000
#> 1447B543-D3AC-41B5-878F-B382FE49421B 1 0.0000 0.948 1.000 0.000
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 2 0.0376 0.949 0.004 0.996
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 2 0.5408 0.838 0.124 0.876
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 1 0.0000 0.948 1.000 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 2 0.0000 0.952 0.000 1.000
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 2 0.0000 0.952 0.000 1.000
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.0000 0.948 1.000 0.000
#> D9225689-21E0-478A-8F79-C26542938B8D 2 0.7139 0.751 0.196 0.804
#> FC3BA46D-57F6-424C-8D62-16C441035969 2 0.0000 0.952 0.000 1.000
#> 045CFFE6-4736-42F2-9340-C37690E47882 1 0.0000 0.948 1.000 0.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 1 0.0376 0.945 0.996 0.004
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 2 0.0000 0.952 0.000 1.000
#> E94B217F-C5DC-4F42-8135-E81F338914B5 2 0.0000 0.952 0.000 1.000
#> AE4C3956-76DF-4059-8D69-3D764F31817F 2 0.0000 0.952 0.000 1.000
#> 33D6A38E-CD99-437B-99E0-04E72582F777 2 0.0000 0.952 0.000 1.000
#> 8379051C-5847-42B5-AC5C-A128C166AB97 1 0.0000 0.948 1.000 0.000
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 1 0.0000 0.948 1.000 0.000
#> 40A16429-229E-4F40-BFC7-263554438F99 2 0.0000 0.952 0.000 1.000
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 2 0.6438 0.792 0.164 0.836
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 2 0.7376 0.734 0.208 0.792
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 1 0.0000 0.948 1.000 0.000
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 1 0.3114 0.901 0.944 0.056
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.0000 0.952 0.000 1.000
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 1 0.0000 0.948 1.000 0.000
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 2 0.0000 0.952 0.000 1.000
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 2 0.0000 0.952 0.000 1.000
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.0000 0.952 0.000 1.000
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 2 0.0000 0.952 0.000 1.000
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 1 0.0000 0.948 1.000 0.000
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 2 0.0938 0.942 0.012 0.988
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 2 0.8861 0.548 0.304 0.696
#> FDB47AC4-CE6A-428B-9B55-EBCEF1970ACB 2 0.6712 0.777 0.176 0.824
#> 133B7E7B-FD50-48A2-9A35-E6D44FAB976B 2 0.0000 0.952 0.000 1.000
#> E69E45DA-66A6-438A-9BFC-5F1F7F5C5A87 1 0.1184 0.936 0.984 0.016
#> 6E242DF5-8B8B-4C6F-870E-C7ADFFAFDF3E 2 0.0000 0.952 0.000 1.000
#> CB7BBFF1-4BF3-42A9-85C6-680D91503799 1 0.0000 0.948 1.000 0.000
#> 70AA4670-C75B-4E39-8958-3F9C29811871 2 0.0000 0.952 0.000 1.000
#> D63C5178-4FF7-4FD0-B87E-6CBF6E7BEF5B 2 0.0000 0.952 0.000 1.000
#> 814391F8-C5B9-43F6-A330-A6749BB8F16E 2 0.0000 0.952 0.000 1.000
#> 146ED7EA-BF3C-4BAB-B33C-0A668AB13C80 1 0.0000 0.948 1.000 0.000
#> FD5CAFE8-E669-406A-A505-A47DCDC32E93 2 0.7219 0.745 0.200 0.800
#> 4B3C7910-A652-45B5-8218-9002EB0FD9EB 2 0.0000 0.952 0.000 1.000
#> E410F77D-E31F-4D73-ACAC-9245935A92F5 1 0.9815 0.273 0.580 0.420
#> 64336403-9037-480C-873A-67BC77119FA5 2 0.0000 0.952 0.000 1.000
#> 6F9D5013-3B1B-41EE-85DB-E51F5D828DEF 1 0.9087 0.514 0.676 0.324
#> 155AEBBD-1C12-4F88-90C7-1C7FF7E3FB2C 2 0.3274 0.901 0.060 0.940
#> D28DDCAA-682C-451F-8327-D2C2AFB044E2 2 0.0000 0.952 0.000 1.000
#> 171523DC-2713-4EBF-A115-53A0BA174545 1 0.0000 0.948 1.000 0.000
#> FD223304-87BA-4462-A5E5-01AB8C018C35 1 0.0000 0.948 1.000 0.000
#> D8E06D8A-9063-4466-A3B0-7724F4737C7A 1 0.1414 0.933 0.980 0.020
#> FFA5FFF7-6301-4CD8-8E63-A4D8294D1B0E 2 0.5842 0.820 0.140 0.860
#> AF3648D6-C774-48CC-9428-ADC00402A562 1 0.0000 0.948 1.000 0.000
#> BD406B65-B715-444E-95B4-F38D05BAC863 1 0.0000 0.948 1.000 0.000
#> 6DB67CA1-0BEB-4585-9867-40E7C8A96D55 2 0.0000 0.952 0.000 1.000
#> 49C9DE1D-784D-405A-9DD3-C4D2890D0309 1 0.0000 0.948 1.000 0.000
#> 05EC4D30-D34E-4497-B4F4-80AEDC2E70DF 1 0.0000 0.948 1.000 0.000
#> CB69E76B-7CD3-49EF-9ADF-75701FE1D0A8 1 0.0938 0.939 0.988 0.012
#> 103C6E25-A69A-460E-81C0-7437547E1334 2 0.9896 0.195 0.440 0.560
#> 2D986DB0-B5A8-42E8-ACB8-926A16FAABD6 2 0.0000 0.952 0.000 1.000
#> 1B9A0F24-8A3F-4693-B09C-5F0EFE5A32A5 1 0.9087 0.525 0.676 0.324
#> C064D1FE-753E-4493-907C-C5FFE19F9875 2 0.0000 0.952 0.000 1.000
#> 71596860-AEFA-4B94-8ADE-AC33CEA24DD4 2 0.0000 0.952 0.000 1.000
#> E9A3A454-AB4D-4683-B276-84DA43792DBB 1 0.0000 0.948 1.000 0.000
#> C5717869-8413-4810-A042-32E949AD3B0A 1 0.0000 0.948 1.000 0.000
#> F36B393E-859C-49F8-BDF4-ED2CEF4C6307 2 0.9710 0.348 0.400 0.600
#> 4CC9D3F9-983F-4CB2-91F1-0FBB86D53DC3 2 0.0000 0.952 0.000 1.000
#> D450F074-CA68-49CE-B0B3-F81A91D54867 1 0.0000 0.948 1.000 0.000
#> 2BBD504E-FE90-4142-9204-0E33B6B56C7E 2 0.0000 0.952 0.000 1.000
#> 1A457CBF-24DA-44F1-B9ED-F26B8D1245D4 2 0.0000 0.952 0.000 1.000
#> F29B5A39-866E-4C9D-BC26-B726FEA5F576 1 0.0000 0.948 1.000 0.000
#> 89A4972A-8C91-4272-96BE-BCA9BC447780 2 0.0000 0.952 0.000 1.000
#> 70B014FD-A0D0-418C-B55F-D09BAE213D52 2 0.0000 0.952 0.000 1.000
#> 8139F417-0548-40B4-851F-A4E149A2E06A 1 0.5842 0.812 0.860 0.140
#> 6E9F0021-FA91-4516-9B04-6A978034CECF 1 0.7056 0.758 0.808 0.192
#> 49DAF1CD-8E20-433B-91A7-8C885ACB21A5 2 0.8661 0.603 0.288 0.712
#> 093765A6-145C-47C3-B87B-4560CD632B4C 2 0.0000 0.952 0.000 1.000
#> 90731001-45B2-4601-93F5-064BDD519A30 1 0.0000 0.948 1.000 0.000
#> 40BCB65D-BC26-4FEF-941F-6F4A42D475EB 2 0.0000 0.952 0.000 1.000
#> 204317C4-B927-4CAC-AADF-E16D19410ADB 2 0.0000 0.952 0.000 1.000
#> 1023707A-D6DE-432A-AD2D-2318C3F91FA2 2 0.0000 0.952 0.000 1.000
#> 06F79E8E-50E3-485A-82E9-C7CD4C72333B 2 0.0000 0.952 0.000 1.000
#> BFAF5464-D239-4A03-AC34-984DEBA84451 2 0.0672 0.946 0.008 0.992
#> 96C7C73E-F3E1-4937-A267-B7DAAD8EDE37 2 0.0000 0.952 0.000 1.000
#> 1D94B33B-9A3F-40BA-90AF-5248ED058C6F 2 0.0000 0.952 0.000 1.000
#> 3407B68D-0277-465B-8819-10FAE3EE6572 1 0.0000 0.948 1.000 0.000
#> 868CD0D0-1CB4-4F61-B4ED-EB0C93DD950F 2 0.9661 0.370 0.392 0.608
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#> A1633922-3B64-4182-822B-D3F75C32CA20 2 0.0000 0.952 0.000 1.000
#> 6E9A7076-D632-461D-91F7-51C2A8F9883A 2 0.0000 0.952 0.000 1.000
#> 452B3345-8995-4D2D-B496-148CC6814CCD 1 0.0000 0.948 1.000 0.000
#> 651DBB44-01C7-4A53-AFB7-A613F1F1D85B 2 0.0000 0.952 0.000 1.000
#> 7FFAB1D0-E2C5-48CE-9496-B23C151B9139 2 0.0000 0.952 0.000 1.000
#> 1C4BA6E2-6908-46B5-865B-2B992290CEEB 2 0.0000 0.952 0.000 1.000
#> B72D6269-48C8-4B73-9372-0197194F8768 1 0.0000 0.948 1.000 0.000
#> 6D9C09A7-DE9B-4ABB-B67F-979D80D2A880 1 0.0376 0.945 0.996 0.004
#> E71899A2-CA7C-4C49-83D3-E05A2A5DC82D 2 0.0000 0.952 0.000 1.000
#> 20AE7513-EF62-4519-BE9B-B4E9F270C55A 2 0.9248 0.472 0.340 0.660
#> 55F371E4-F7E9-45C2-A053-F9C8A0397F0C 1 0.0000 0.948 1.000 0.000
#> 2EEE83B8-5A32-457E-8405-21B70A07280B 1 0.6973 0.752 0.812 0.188
#> 3D66774D-66E5-4B18-85FF-77A179563B88 2 0.0000 0.952 0.000 1.000
#> 58D1339C-B607-496B-AE85-5ECCD43636AD 2 0.0000 0.952 0.000 1.000
#> B247508D-7C3B-45BF-929D-FFE756EDEF24 1 0.9896 0.210 0.560 0.440
#> 43456F55-F4A1-4D9F-8571-ED3542C69416 1 0.0000 0.948 1.000 0.000
#> 099D25C9-DAB1-4968-A07A-EF0856000694 2 0.0000 0.952 0.000 1.000
#> EAD49D17-A396-41C2-AD5F-3E65EA19306B 2 0.0000 0.952 0.000 1.000
#> 7D1F6CE8-FA36-477A-9313-E3799C5886AD 2 0.0000 0.952 0.000 1.000
#> C2C2EA55-75D8-48B0-8E39-73CC523CA691 2 0.0000 0.952 0.000 1.000
#> 218F1728-2967-447E-9BDD-F78E21265395 2 0.0000 0.952 0.000 1.000
#> 658AA411-6DEB-46C9-B4D7-7175F7EC1620 1 0.0000 0.948 1.000 0.000
#> EE0CCBE4-DF69-40F7-91B1-B7E7AC061C5B 1 0.0000 0.948 1.000 0.000
#> 4FA18EA8-F6EA-40EE-847E-2896BD858C04 2 0.0000 0.952 0.000 1.000
#> 05A6B3A7-2A08-4700-BC85-9968AD07D2F6 2 0.0000 0.952 0.000 1.000
#> 5F220E8D-9FF6-43E5-A27D-DA4FC75536E1 1 0.0000 0.948 1.000 0.000
#> 3D3EA6CC-35F0-416E-9FC8-394D005A2B0B 1 0.0000 0.948 1.000 0.000
#> B5B13A86-3B16-43AD-B329-2C5AD46A308F 1 0.0000 0.948 1.000 0.000
#> 2EBC7BE8-627B-4767-A4FE-14E933E40C1C 1 0.0000 0.948 1.000 0.000
#> E332A10A-4FB0-4122-BB48-3050E0F73502 2 0.8144 0.646 0.252 0.748
#> 0FF95060-00C3-4B53-B46F-6242872C1465 2 0.0000 0.952 0.000 1.000
#> 51875568-DA72-4A62-9A19-2A61860B83C3 1 0.6801 0.761 0.820 0.180
#> C4DB90C8-EB0B-4071-BD4F-EEB37E8ADC26 2 0.0000 0.952 0.000 1.000
#> 55F8E6BA-AF16-4514-8845-1FCACB758812 1 0.0000 0.948 1.000 0.000
#> 7F9B2F13-F387-4A54-920A-62C23D9BFB77 2 0.0000 0.952 0.000 1.000
#> 248E5BD8-0458-43A1-B5D1-BDA14558421F 1 0.0000 0.948 1.000 0.000
#> B150AB08-9BE5-4DBB-AB30-80C09B319E6D 2 0.0000 0.952 0.000 1.000
#> 4DC8E477-9AA6-41F7-A7BB-EEEFAFD33256 1 0.0000 0.948 1.000 0.000
#> 327E0B69-E439-4161-BD58-2E22C5D3A76F 1 0.0000 0.948 1.000 0.000
#> 50F9B130-6BE8-483C-828F-15445492B631 2 0.0000 0.952 0.000 1.000
#> D57E89FF-CC54-4FE9-A99B-2E75D407AB91 1 0.0000 0.948 1.000 0.000
#> 659F3E30-3F80-49AF-9713-824F8D42BA74 1 0.0000 0.948 1.000 0.000
#> 29E8ADB9-3F5D-497A-9A6B-85218AE2DB14 1 0.0000 0.948 1.000 0.000
#> 73B58A54-E759-44FE-8B84-70D60C78066D 1 0.0000 0.948 1.000 0.000
#> 4001EE2D-F208-465E-B718-01CCB9BD1C17 2 0.0000 0.952 0.000 1.000
#> AFE61E30-D425-40CC-BC57-C210A0D03EFE 1 0.0000 0.948 1.000 0.000
#> C06D79D5-4D8A-47D3-97CE-0E9BA204347C 2 0.0000 0.952 0.000 1.000
#> 3975BE32-7E20-4EFC-9122-FE468544C5D9 1 0.2043 0.923 0.968 0.032
#> 0FDC5030-92FC-44B5-AE62-6EC3EA9290BB 1 0.0000 0.948 1.000 0.000
#> 8E3F8687-B00B-4FA9-84F2-F731B169FC45 2 0.0376 0.949 0.004 0.996
#> 45CEDF59-BC7A-4D86-8C2D-9A91AC141D30 1 0.0000 0.948 1.000 0.000
#> 4043BFE7-72A7-4A95-8CB2-53FDD574B7EA 1 0.9850 0.249 0.572 0.428
#> 64D465E7-0DB8-46A1-8BF2-BBF59D23B7EB 2 0.0000 0.952 0.000 1.000
#> 9824DFB4-0A1A-4BA4-B2DC-5348DA3D3AE6 2 0.0000 0.952 0.000 1.000
#> 50ECFB2A-FF9D-4A8A-91CB-3902D3B670A0 2 0.0000 0.952 0.000 1.000
#> 755D805B-B9F4-41D3-ACA7-2BB599C3D529 2 0.0000 0.952 0.000 1.000
#> 0BA34100-8588-47B5-A962-4BD1916645B6 1 0.0000 0.948 1.000 0.000
#> 9CE2E8D4-1AD1-4546-AD5D-D58193F79096 1 0.0000 0.948 1.000 0.000
#> 92D7DB12-B0E0-4072-98FB-34B112E7728D 1 0.0000 0.948 1.000 0.000
#> 79FD2101-0A9A-4EA7-A773-5EA8693138D0 2 0.0000 0.952 0.000 1.000
#> A3A8937A-0B0B-4A68-AE68-81DA9CF7F4FB 1 0.0000 0.948 1.000 0.000
#> 3EB3C0F8-4CBC-41A7-81E4-4D8A565441A7 1 0.0000 0.948 1.000 0.000
#> 77EE3B54-FD7A-4ACF-879C-31667ADCCC5B 2 0.0000 0.952 0.000 1.000
#> 327B2123-6DD8-4263-87DE-EE917E911DD4 1 0.1184 0.937 0.984 0.016
#> 198A6AD0-79CD-40F5-A622-18AFBE78F2D2 1 0.0000 0.948 1.000 0.000
#> EEE29DE1-F88C-4184-B499-5E86E2D252C4 1 0.0000 0.948 1.000 0.000
#> 1E95EA22-BC41-4AAE-AFCC-F9281989A785 1 0.0000 0.948 1.000 0.000
#> CD3AC0E4-88A9-4084-A2BE-AEE722CF6AA3 1 0.2778 0.908 0.952 0.048
#> 8D7FABA2-764D-4795-BB04-D9E69E9792B9 1 0.0000 0.948 1.000 0.000
#> DAC07889-EE06-46E0-B1F1-833ECC0A48A9 2 0.0000 0.952 0.000 1.000
#> E7B555A3-567B-4A44-8225-D269E73FB50B 2 0.6887 0.767 0.184 0.816
#> 3CC95101-C35F-4761-9D41-3C35BD55B37E 2 0.0000 0.952 0.000 1.000
#> F62E5A69-5E81-4B2A-8CC0-F4D6E188B187 1 0.0000 0.948 1.000 0.000
#> C650633B-A369-4657-8693-FDFBF22BD34E 1 0.0000 0.948 1.000 0.000
#> 5E514217-F0DB-49FD-9C5D-EB22628ED297 2 0.0000 0.952 0.000 1.000
#> 6E1DB9BF-06FE-48B1-A2D8-EF2CE7591364 2 0.0000 0.952 0.000 1.000
#> C9581CE3-58B6-45B4-B4B7-15F555FD84A4 1 0.0000 0.948 1.000 0.000
#> F56C26ED-9358-485B-8867-EBA1CAA4E2A7 2 0.0000 0.952 0.000 1.000
#> 45CA3F9E-40EE-43A4-AE57-FE51D4003844 2 0.0000 0.952 0.000 1.000
#> 47EFA063-19C1-4E1F-ACE8-68D9BAD0B995 1 0.0000 0.948 1.000 0.000
#> 8C30EA0F-0DA1-43C7-81AE-DE825A53F114 1 0.0000 0.948 1.000 0.000
#> 2CE7477C-DD09-4B3A-AD65-C696BE8C9B11 1 0.0000 0.948 1.000 0.000
#> 4DECB19A-290F-4CEB-BE25-AAF9B9E2B58F 1 0.0000 0.948 1.000 0.000
#> 3DEA9B14-DF42-43A0-AC4A-32AE7A16218D 2 0.0000 0.952 0.000 1.000
#> 9F57D45B-C62F-44C5-AB9D-0CB54BBA16F5 1 0.3733 0.887 0.928 0.072
#> 54ACCFD9-A8D6-4E4C-9097-1A0BE258AA1B 1 0.0000 0.948 1.000 0.000
#> 9EE67DE9-9B56-4773-8F6A-1036D31F568E 1 0.9661 0.353 0.608 0.392
#> 1B1C9301-D6D6-4F6B-80A3-3603013AA951 2 0.0000 0.952 0.000 1.000
#> DDDCDF00-FB0A-477B-891B-2EE5E0C8F61E 1 0.0000 0.948 1.000 0.000
#> 34A3260D-AC4D-416F-ADF0-24013048BC46 2 0.0000 0.952 0.000 1.000
#> 671C1840-9C1B-4AC1-9564-78802489F763 1 0.0000 0.948 1.000 0.000
#> BA4F7841-9FC3-4CE6-ACA5-43FC36641640 2 0.9754 0.293 0.408 0.592
#> 24A02CE5-28E7-457E-8B90-4EACA528B072 1 0.0000 0.948 1.000 0.000
#> C7008665-F6DE-48B4-A0E7-6C388B72C609 2 0.0000 0.952 0.000 1.000
#> 50F984AB-95C1-4D7B-A787-418CBB59D165 1 0.0000 0.948 1.000 0.000
#> 5FFD2A6A-ED8A-44A9-9FC1-3106341C284A 2 0.0000 0.952 0.000 1.000
#> 7481630E-5CBA-4A4A-A16F-E327BCEE11D3 1 0.0000 0.948 1.000 0.000
#> 7B3E6643-C148-4266-A3A3-80BAB713DD3E 2 0.0000 0.952 0.000 1.000
#> BA8564FA-8D4D-4B2F-A178-63209F887A05 1 0.0000 0.948 1.000 0.000
#> 2FB578F6-E8B7-434D-9720-D448A26C1EFD 1 0.0000 0.948 1.000 0.000
#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 2 0.0000 0.952 0.000 1.000
#> 740FCE46-8A4A-4A6A-B79F-78A63D28E313 2 0.0000 0.952 0.000 1.000
#> 523A5832-0C42-44A4-A58F-7011C3A567DC 1 0.0000 0.948 1.000 0.000
#> A2C68C81-7371-4E0C-BFD1-EA868A7C9499 2 0.0000 0.952 0.000 1.000
#> 2EB7025A-D932-4238-BD60-609B25150029 1 0.9815 0.273 0.580 0.420
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 2 0.0000 0.952 0.000 1.000
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 2 0.0000 0.952 0.000 1.000
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 2 0.0000 0.952 0.000 1.000
#> F081EA01-ED14-491B-9620-BF8F10A7431D 2 0.9686 0.359 0.396 0.604
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 2 0.0000 0.952 0.000 1.000
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 1 0.9963 0.145 0.536 0.464
#> B54639CE-F721-4908-B758-309F148AD3C2 2 0.0000 0.952 0.000 1.000
#> EB4294E1-3FBC-495C-A041-829A654B59C5 1 0.0000 0.948 1.000 0.000
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 1 0.5737 0.817 0.864 0.136
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.0000 0.952 0.000 1.000
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 1 0.9608 0.388 0.616 0.384
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.0000 0.952 0.000 1.000
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 1 0.0000 0.948 1.000 0.000
#> D34036E4-1122-42AE-B20F-F4C8515872A0 2 0.0000 0.952 0.000 1.000
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 2 0.0000 0.952 0.000 1.000
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 1 0.0000 0.948 1.000 0.000
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 1 0.0000 0.948 1.000 0.000
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.0000 0.952 0.000 1.000
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.0000 0.952 0.000 1.000
#> F3C13430-405E-432E-8F3E-0DD18E86087E 2 0.0000 0.952 0.000 1.000
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.0000 0.952 0.000 1.000
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 1 0.0000 0.948 1.000 0.000
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.0000 0.952 0.000 1.000
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.0000 0.952 0.000 1.000
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 1 0.0000 0.948 1.000 0.000
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.0000 0.952 0.000 1.000
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.0000 0.948 1.000 0.000
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 1 0.9661 0.352 0.608 0.392
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 1 0.0000 0.948 1.000 0.000
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.0000 0.952 0.000 1.000
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 1 0.0000 0.948 1.000 0.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 1 0.0000 0.948 1.000 0.000
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 2 0.0000 0.952 0.000 1.000
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 2 0.0000 0.952 0.000 1.000
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.0000 0.952 0.000 1.000
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 1 0.0000 0.948 1.000 0.000
#> 343F031B-0095-429D-8212-AD0581DBB05B 1 0.0938 0.939 0.988 0.012
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 2 0.0000 0.952 0.000 1.000
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.0000 0.948 1.000 0.000
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 2 0.0000 0.952 0.000 1.000
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 2 0.7139 0.751 0.196 0.804
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 1 0.7219 0.736 0.800 0.200
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.0000 0.952 0.000 1.000
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.0000 0.952 0.000 1.000
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.0000 0.952 0.000 1.000
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 1 0.0000 0.948 1.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.0000 0.948 1.000 0.000
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 1 0.0000 0.948 1.000 0.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 2 0.9608 0.391 0.384 0.616
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 1 0.0000 0.948 1.000 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.0000 0.952 0.000 1.000
#> FC7821F4-6495-4545-A22A-764BB99B3F79 2 0.9896 0.195 0.440 0.560
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.0000 0.952 0.000 1.000
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.8813 0.558 0.300 0.700
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.0000 0.952 0.000 1.000
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.0000 0.952 0.000 1.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 2 0.7883 0.692 0.236 0.764
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 2 0.8081 0.673 0.248 0.752
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.0000 0.952 0.000 1.000
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 1 0.0000 0.948 1.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 2 0.9710 0.348 0.400 0.600
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.0000 0.952 0.000 1.000
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 1 0.0000 0.948 1.000 0.000
#> BEE081CA-8420-4314-88A0-286BB30FFD65 1 0.9754 0.308 0.592 0.408
#> C464CD1D-4519-48E8-A18A-403F691E5702 1 0.0000 0.948 1.000 0.000
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.0000 0.948 1.000 0.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.3733 0.890 0.072 0.928
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0000 0.952 0.000 1.000
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.0000 0.948 1.000 0.000
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.0376 0.945 0.996 0.004
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.5178 0.5803 0.256 0.744 0.000
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 3 0.0000 0.5792 0.000 0.000 1.000
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 2 0.8992 0.4928 0.176 0.552 0.272
#> 91202998-760F-4421-B1C4-18639962EDDA 1 0.4887 0.5866 0.772 0.000 0.228
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.0000 0.8521 0.000 1.000 0.000
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 2 0.6126 0.5576 0.000 0.600 0.400
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 3 0.1964 0.5546 0.056 0.000 0.944
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.2537 0.8192 0.000 0.920 0.080
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.5327 0.6954 0.000 0.728 0.272
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.5327 0.6954 0.000 0.728 0.272
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 3 0.1411 0.5665 0.036 0.000 0.964
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.5431 0.5965 0.284 0.000 0.716
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#> 327E0B69-E439-4161-BD58-2E22C5D3A76F 1 0.0000 0.7439 1.000 0.000 0.000
#> 50F9B130-6BE8-483C-828F-15445492B631 2 0.6280 0.0714 0.000 0.540 0.460
#> D57E89FF-CC54-4FE9-A99B-2E75D407AB91 1 0.0000 0.7439 1.000 0.000 0.000
#> 659F3E30-3F80-49AF-9713-824F8D42BA74 1 0.5760 0.4071 0.672 0.000 0.328
#> 29E8ADB9-3F5D-497A-9A6B-85218AE2DB14 1 0.0424 0.7376 0.992 0.000 0.008
#> 73B58A54-E759-44FE-8B84-70D60C78066D 1 0.6309 0.3299 0.504 0.000 0.496
#> 4001EE2D-F208-465E-B718-01CCB9BD1C17 2 0.4887 0.6278 0.228 0.772 0.000
#> AFE61E30-D425-40CC-BC57-C210A0D03EFE 1 0.0000 0.7439 1.000 0.000 0.000
#> C06D79D5-4D8A-47D3-97CE-0E9BA204347C 3 0.5098 0.3493 0.000 0.248 0.752
#> 3975BE32-7E20-4EFC-9122-FE468544C5D9 3 0.7610 0.5096 0.388 0.048 0.564
#> 0FDC5030-92FC-44B5-AE62-6EC3EA9290BB 3 0.6095 0.5931 0.392 0.000 0.608
#> 8E3F8687-B00B-4FA9-84F2-F731B169FC45 2 0.7724 0.5439 0.060 0.588 0.352
#> 45CEDF59-BC7A-4D86-8C2D-9A91AC141D30 1 0.3340 0.6838 0.880 0.000 0.120
#> 4043BFE7-72A7-4A95-8CB2-53FDD574B7EA 3 0.6305 -0.3030 0.484 0.000 0.516
#> 64D465E7-0DB8-46A1-8BF2-BBF59D23B7EB 2 0.0000 0.8521 0.000 1.000 0.000
#> 9824DFB4-0A1A-4BA4-B2DC-5348DA3D3AE6 2 0.1411 0.8300 0.036 0.964 0.000
#> 50ECFB2A-FF9D-4A8A-91CB-3902D3B670A0 1 0.6252 0.3050 0.556 0.444 0.000
#> 755D805B-B9F4-41D3-ACA7-2BB599C3D529 2 0.5327 0.6954 0.000 0.728 0.272
#> 0BA34100-8588-47B5-A962-4BD1916645B6 1 0.0000 0.7439 1.000 0.000 0.000
#> 9CE2E8D4-1AD1-4546-AD5D-D58193F79096 1 0.4702 0.6280 0.788 0.000 0.212
#> 92D7DB12-B0E0-4072-98FB-34B112E7728D 3 0.6095 0.5931 0.392 0.000 0.608
#> 79FD2101-0A9A-4EA7-A773-5EA8693138D0 2 0.0000 0.8521 0.000 1.000 0.000
#> A3A8937A-0B0B-4A68-AE68-81DA9CF7F4FB 1 0.5810 0.5074 0.664 0.000 0.336
#> 3EB3C0F8-4CBC-41A7-81E4-4D8A565441A7 3 0.5363 0.5917 0.276 0.000 0.724
#> 77EE3B54-FD7A-4ACF-879C-31667ADCCC5B 2 0.0000 0.8521 0.000 1.000 0.000
#> 327B2123-6DD8-4263-87DE-EE917E911DD4 3 0.5024 0.3532 0.220 0.004 0.776
#> 198A6AD0-79CD-40F5-A622-18AFBE78F2D2 1 0.0000 0.7439 1.000 0.000 0.000
#> EEE29DE1-F88C-4184-B499-5E86E2D252C4 1 0.2959 0.6485 0.900 0.000 0.100
#> 1E95EA22-BC41-4AAE-AFCC-F9281989A785 1 0.6095 0.4490 0.608 0.000 0.392
#> CD3AC0E4-88A9-4084-A2BE-AEE722CF6AA3 1 0.0000 0.7439 1.000 0.000 0.000
#> 8D7FABA2-764D-4795-BB04-D9E69E9792B9 1 0.0000 0.7439 1.000 0.000 0.000
#> DAC07889-EE06-46E0-B1F1-833ECC0A48A9 2 0.0000 0.8521 0.000 1.000 0.000
#> E7B555A3-567B-4A44-8225-D269E73FB50B 3 0.4062 0.5081 0.000 0.164 0.836
#> 3CC95101-C35F-4761-9D41-3C35BD55B37E 2 0.0000 0.8521 0.000 1.000 0.000
#> F62E5A69-5E81-4B2A-8CC0-F4D6E188B187 1 0.0000 0.7439 1.000 0.000 0.000
#> C650633B-A369-4657-8693-FDFBF22BD34E 3 0.6095 0.5931 0.392 0.000 0.608
#> 5E514217-F0DB-49FD-9C5D-EB22628ED297 2 0.0000 0.8521 0.000 1.000 0.000
#> 6E1DB9BF-06FE-48B1-A2D8-EF2CE7591364 2 0.0000 0.8521 0.000 1.000 0.000
#> C9581CE3-58B6-45B4-B4B7-15F555FD84A4 3 0.5327 0.5954 0.272 0.000 0.728
#> F56C26ED-9358-485B-8867-EBA1CAA4E2A7 2 0.3340 0.7651 0.120 0.880 0.000
#> 45CA3F9E-40EE-43A4-AE57-FE51D4003844 2 0.0000 0.8521 0.000 1.000 0.000
#> 47EFA063-19C1-4E1F-ACE8-68D9BAD0B995 1 0.0000 0.7439 1.000 0.000 0.000
#> 8C30EA0F-0DA1-43C7-81AE-DE825A53F114 3 0.5291 0.5956 0.268 0.000 0.732
#> 2CE7477C-DD09-4B3A-AD65-C696BE8C9B11 1 0.0000 0.7439 1.000 0.000 0.000
#> 4DECB19A-290F-4CEB-BE25-AAF9B9E2B58F 1 0.0000 0.7439 1.000 0.000 0.000
#> 3DEA9B14-DF42-43A0-AC4A-32AE7A16218D 2 0.5591 0.6665 0.000 0.696 0.304
#> 9F57D45B-C62F-44C5-AB9D-0CB54BBA16F5 3 0.6095 0.5931 0.392 0.000 0.608
#> 54ACCFD9-A8D6-4E4C-9097-1A0BE258AA1B 1 0.0000 0.7439 1.000 0.000 0.000
#> 9EE67DE9-9B56-4773-8F6A-1036D31F568E 3 0.0424 0.5816 0.000 0.008 0.992
#> 1B1C9301-D6D6-4F6B-80A3-3603013AA951 2 0.0237 0.8499 0.000 0.996 0.004
#> DDDCDF00-FB0A-477B-891B-2EE5E0C8F61E 3 0.6095 0.5931 0.392 0.000 0.608
#> 34A3260D-AC4D-416F-ADF0-24013048BC46 1 0.6204 0.3531 0.576 0.424 0.000
#> 671C1840-9C1B-4AC1-9564-78802489F763 1 0.0000 0.7439 1.000 0.000 0.000
#> BA4F7841-9FC3-4CE6-ACA5-43FC36641640 2 0.4062 0.7059 0.164 0.836 0.000
#> 24A02CE5-28E7-457E-8B90-4EACA528B072 1 0.0000 0.7439 1.000 0.000 0.000
#> C7008665-F6DE-48B4-A0E7-6C388B72C609 2 0.0000 0.8521 0.000 1.000 0.000
#> 50F984AB-95C1-4D7B-A787-418CBB59D165 1 0.4842 0.5889 0.776 0.000 0.224
#> 5FFD2A6A-ED8A-44A9-9FC1-3106341C284A 2 0.5254 0.7014 0.000 0.736 0.264
#> 7481630E-5CBA-4A4A-A16F-E327BCEE11D3 1 0.0000 0.7439 1.000 0.000 0.000
#> 7B3E6643-C148-4266-A3A3-80BAB713DD3E 2 0.0000 0.8521 0.000 1.000 0.000
#> BA8564FA-8D4D-4B2F-A178-63209F887A05 1 0.0000 0.7439 1.000 0.000 0.000
#> 2FB578F6-E8B7-434D-9720-D448A26C1EFD 1 0.0000 0.7439 1.000 0.000 0.000
#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 2 0.5138 0.5881 0.252 0.748 0.000
#> 740FCE46-8A4A-4A6A-B79F-78A63D28E313 2 0.5291 0.6984 0.000 0.732 0.268
#> 523A5832-0C42-44A4-A58F-7011C3A567DC 3 0.6095 0.5931 0.392 0.000 0.608
#> A2C68C81-7371-4E0C-BFD1-EA868A7C9499 2 0.1411 0.8316 0.036 0.964 0.000
#> 2EB7025A-D932-4238-BD60-609B25150029 3 0.6758 0.3825 0.200 0.072 0.728
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 2 0.5291 0.6984 0.000 0.732 0.268
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 2 0.0000 0.8521 0.000 1.000 0.000
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 2 0.0000 0.8521 0.000 1.000 0.000
#> F081EA01-ED14-491B-9620-BF8F10A7431D 3 0.2448 0.5570 0.000 0.076 0.924
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 2 0.0000 0.8521 0.000 1.000 0.000
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 3 0.6719 0.5532 0.068 0.204 0.728
#> B54639CE-F721-4908-B758-309F148AD3C2 2 0.5560 0.6705 0.000 0.700 0.300
#> EB4294E1-3FBC-495C-A041-829A654B59C5 3 0.6095 0.5931 0.392 0.000 0.608
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 1 0.0237 0.7422 0.996 0.004 0.000
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.0000 0.8521 0.000 1.000 0.000
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 1 0.4121 0.6240 0.832 0.168 0.000
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.0000 0.8521 0.000 1.000 0.000
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 1 0.0424 0.7376 0.992 0.000 0.008
#> D34036E4-1122-42AE-B20F-F4C8515872A0 2 0.5291 0.6984 0.000 0.732 0.268
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 2 0.0000 0.8521 0.000 1.000 0.000
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 1 0.3941 0.6616 0.844 0.000 0.156
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 3 0.6095 0.5931 0.392 0.000 0.608
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.0000 0.8521 0.000 1.000 0.000
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.0000 0.8521 0.000 1.000 0.000
#> F3C13430-405E-432E-8F3E-0DD18E86087E 1 0.9901 0.0492 0.384 0.348 0.268
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.0000 0.8521 0.000 1.000 0.000
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 1 0.0000 0.7439 1.000 0.000 0.000
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.0000 0.8521 0.000 1.000 0.000
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.0000 0.8521 0.000 1.000 0.000
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 1 0.5216 0.5579 0.740 0.000 0.260
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.0000 0.8521 0.000 1.000 0.000
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.0000 0.7439 1.000 0.000 0.000
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 1 0.6314 0.4455 0.604 0.004 0.392
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 1 0.0000 0.7439 1.000 0.000 0.000
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.5178 0.7089 0.000 0.744 0.256
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.6095 0.5931 0.392 0.000 0.608
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.6095 0.5931 0.392 0.000 0.608
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 2 0.5327 0.6954 0.000 0.728 0.272
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 2 0.0000 0.8521 0.000 1.000 0.000
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.1289 0.8327 0.032 0.968 0.000
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 1 0.4887 0.5866 0.772 0.000 0.228
#> 343F031B-0095-429D-8212-AD0581DBB05B 1 0.6309 0.3299 0.504 0.000 0.496
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 2 0.5327 0.6954 0.000 0.728 0.272
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.0000 0.7439 1.000 0.000 0.000
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 2 0.3482 0.7564 0.000 0.872 0.128
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 3 0.8927 -0.1469 0.128 0.384 0.488
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 1 0.5216 0.5325 0.740 0.260 0.000
#> F9F33C38-A087-49FF-B994-3C9EE264F448 1 0.6204 0.3531 0.576 0.424 0.000
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.0000 0.8521 0.000 1.000 0.000
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.0000 0.8521 0.000 1.000 0.000
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.6095 0.5931 0.392 0.000 0.608
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.0000 0.7439 1.000 0.000 0.000
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.6095 0.5931 0.392 0.000 0.608
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 3 0.1163 0.5701 0.028 0.000 0.972
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.6095 0.5931 0.392 0.000 0.608
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.0000 0.8521 0.000 1.000 0.000
#> FC7821F4-6495-4545-A22A-764BB99B3F79 1 0.6307 0.0927 0.512 0.488 0.000
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.5291 0.6984 0.000 0.732 0.268
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 3 0.9004 0.2333 0.132 0.400 0.468
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.6154 0.5451 0.000 0.592 0.408
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.0000 0.8521 0.000 1.000 0.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 1 0.8351 0.4395 0.604 0.124 0.272
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 3 0.7980 -0.1607 0.400 0.064 0.536
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.0000 0.8521 0.000 1.000 0.000
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.6095 0.5931 0.392 0.000 0.608
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 1 0.7438 0.4110 0.568 0.040 0.392
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.0000 0.8521 0.000 1.000 0.000
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 1 0.6154 0.1633 0.592 0.000 0.408
#> BEE081CA-8420-4314-88A0-286BB30FFD65 3 0.0000 0.5792 0.000 0.000 1.000
#> C464CD1D-4519-48E8-A18A-403F691E5702 1 0.5291 0.5325 0.732 0.000 0.268
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.0000 0.7439 1.000 0.000 0.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.6295 0.3970 0.000 0.528 0.472
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0000 0.8521 0.000 1.000 0.000
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.6140 -0.1964 0.596 0.000 0.404
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.0000 0.7439 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 1 0.4877 0.41123 0.592 0.408 0.000 0.000
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 4 0.0188 0.70531 0.000 0.000 0.004 0.996
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 2 0.9586 0.28903 0.228 0.376 0.140 0.256
#> 91202998-760F-4421-B1C4-18639962EDDA 4 0.4328 0.68545 0.244 0.000 0.008 0.748
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.0000 0.82179 0.000 1.000 0.000 0.000
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 2 0.7031 0.48178 0.000 0.536 0.140 0.324
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 4 0.2868 0.59488 0.000 0.000 0.136 0.864
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.0707 0.81426 0.000 0.980 0.000 0.020
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.6698 0.56781 0.000 0.604 0.140 0.256
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.6673 0.57127 0.000 0.608 0.140 0.252
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 4 0.0469 0.71058 0.012 0.000 0.000 0.988
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.3142 0.79551 0.132 0.000 0.860 0.008
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 2 0.6698 0.56781 0.000 0.604 0.140 0.256
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 1 0.6648 0.44339 0.612 0.000 0.140 0.248
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.2921 0.80209 0.140 0.000 0.860 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.3610 0.61311 0.200 0.800 0.000 0.000
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.0000 0.75781 1.000 0.000 0.000 0.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 4 0.2973 0.68900 0.000 0.144 0.000 0.856
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 4 0.6992 0.48712 0.000 0.176 0.248 0.576
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.0000 0.75781 1.000 0.000 0.000 0.000
#> D7A50E95-777C-47A6-8F93-031CB4770633 1 0.3942 0.63526 0.764 0.236 0.000 0.000
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.6698 0.56781 0.000 0.604 0.140 0.256
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 1 0.0000 0.75781 1.000 0.000 0.000 0.000
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 4 0.5203 0.46156 0.416 0.000 0.008 0.576
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.6673 0.57127 0.000 0.608 0.140 0.252
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 2 0.7108 0.44501 0.000 0.512 0.140 0.348
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.6698 0.56781 0.000 0.604 0.140 0.256
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.0000 0.82179 0.000 1.000 0.000 0.000
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.2921 0.80209 0.140 0.000 0.860 0.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.7723 -0.05542 0.416 0.444 0.028 0.112
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 4 0.6403 0.55996 0.000 0.128 0.232 0.640
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 1 0.3668 0.66276 0.808 0.188 0.000 0.004
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#> B150AB08-9BE5-4DBB-AB30-80C09B319E6D 2 0.2408 0.74936 0.000 0.896 0.000 0.104
#> 4DC8E477-9AA6-41F7-A7BB-EEEFAFD33256 4 0.2859 0.73078 0.112 0.000 0.008 0.880
#> 327E0B69-E439-4161-BD58-2E22C5D3A76F 1 0.0000 0.75781 1.000 0.000 0.000 0.000
#> 50F9B130-6BE8-483C-828F-15445492B631 2 0.5923 0.53491 0.000 0.684 0.216 0.100
#> D57E89FF-CC54-4FE9-A99B-2E75D407AB91 1 0.5620 0.49882 0.708 0.000 0.084 0.208
#> 659F3E30-3F80-49AF-9713-824F8D42BA74 4 0.2918 0.73085 0.116 0.000 0.008 0.876
#> 29E8ADB9-3F5D-497A-9A6B-85218AE2DB14 1 0.0336 0.75577 0.992 0.008 0.000 0.000
#> 73B58A54-E759-44FE-8B84-70D60C78066D 4 0.0707 0.71418 0.020 0.000 0.000 0.980
#> 4001EE2D-F208-465E-B718-01CCB9BD1C17 1 0.4948 0.34761 0.560 0.440 0.000 0.000
#> AFE61E30-D425-40CC-BC57-C210A0D03EFE 1 0.3610 0.55519 0.800 0.000 0.000 0.200
#> C06D79D5-4D8A-47D3-97CE-0E9BA204347C 2 0.6985 0.50011 0.000 0.548 0.140 0.312
#> 3975BE32-7E20-4EFC-9122-FE468544C5D9 4 0.4883 0.64239 0.288 0.000 0.016 0.696
#> 0FDC5030-92FC-44B5-AE62-6EC3EA9290BB 3 0.2921 0.80209 0.140 0.000 0.860 0.000
#> 8E3F8687-B00B-4FA9-84F2-F731B169FC45 2 0.9718 0.10388 0.300 0.304 0.140 0.256
#> 45CEDF59-BC7A-4D86-8C2D-9A91AC141D30 4 0.4222 0.66060 0.272 0.000 0.000 0.728
#> 4043BFE7-72A7-4A95-8CB2-53FDD574B7EA 4 0.2921 0.59082 0.000 0.000 0.140 0.860
#> 64D465E7-0DB8-46A1-8BF2-BBF59D23B7EB 2 0.0000 0.82179 0.000 1.000 0.000 0.000
#> 9824DFB4-0A1A-4BA4-B2DC-5348DA3D3AE6 2 0.4998 -0.16936 0.488 0.512 0.000 0.000
#> 50ECFB2A-FF9D-4A8A-91CB-3902D3B670A0 1 0.4564 0.54233 0.672 0.328 0.000 0.000
#> 755D805B-B9F4-41D3-ACA7-2BB599C3D529 2 0.9504 0.33226 0.208 0.396 0.140 0.256
#> 0BA34100-8588-47B5-A962-4BD1916645B6 1 0.3528 0.56737 0.808 0.000 0.000 0.192
#> 9CE2E8D4-1AD1-4546-AD5D-D58193F79096 4 0.4072 0.67999 0.252 0.000 0.000 0.748
#> 92D7DB12-B0E0-4072-98FB-34B112E7728D 3 0.2921 0.80209 0.140 0.000 0.860 0.000
#> 79FD2101-0A9A-4EA7-A773-5EA8693138D0 2 0.0000 0.82179 0.000 1.000 0.000 0.000
#> A3A8937A-0B0B-4A68-AE68-81DA9CF7F4FB 4 0.2466 0.72969 0.096 0.000 0.004 0.900
#> 3EB3C0F8-4CBC-41A7-81E4-4D8A565441A7 4 0.4328 0.62312 0.008 0.000 0.244 0.748
#> 77EE3B54-FD7A-4ACF-879C-31667ADCCC5B 2 0.0000 0.82179 0.000 1.000 0.000 0.000
#> 327B2123-6DD8-4263-87DE-EE917E911DD4 4 0.0895 0.71496 0.020 0.000 0.004 0.976
#> 198A6AD0-79CD-40F5-A622-18AFBE78F2D2 1 0.0000 0.75781 1.000 0.000 0.000 0.000
#> EEE29DE1-F88C-4184-B499-5E86E2D252C4 4 0.5277 0.36983 0.460 0.000 0.008 0.532
#> 1E95EA22-BC41-4AAE-AFCC-F9281989A785 4 0.4250 0.65845 0.276 0.000 0.000 0.724
#> CD3AC0E4-88A9-4084-A2BE-AEE722CF6AA3 1 0.0000 0.75781 1.000 0.000 0.000 0.000
#> 8D7FABA2-764D-4795-BB04-D9E69E9792B9 1 0.0000 0.75781 1.000 0.000 0.000 0.000
#> DAC07889-EE06-46E0-B1F1-833ECC0A48A9 2 0.0000 0.82179 0.000 1.000 0.000 0.000
#> E7B555A3-567B-4A44-8225-D269E73FB50B 3 0.4103 0.51066 0.000 0.000 0.744 0.256
#> 3CC95101-C35F-4761-9D41-3C35BD55B37E 2 0.0000 0.82179 0.000 1.000 0.000 0.000
#> F62E5A69-5E81-4B2A-8CC0-F4D6E188B187 1 0.0000 0.75781 1.000 0.000 0.000 0.000
#> C650633B-A369-4657-8693-FDFBF22BD34E 3 0.2921 0.80209 0.140 0.000 0.860 0.000
#> 5E514217-F0DB-49FD-9C5D-EB22628ED297 2 0.0000 0.82179 0.000 1.000 0.000 0.000
#> 6E1DB9BF-06FE-48B1-A2D8-EF2CE7591364 2 0.0000 0.82179 0.000 1.000 0.000 0.000
#> C9581CE3-58B6-45B4-B4B7-15F555FD84A4 4 0.4706 0.62076 0.020 0.000 0.248 0.732
#> F56C26ED-9358-485B-8867-EBA1CAA4E2A7 1 0.4961 0.32951 0.552 0.448 0.000 0.000
#> 45CA3F9E-40EE-43A4-AE57-FE51D4003844 2 0.0000 0.82179 0.000 1.000 0.000 0.000
#> 47EFA063-19C1-4E1F-ACE8-68D9BAD0B995 1 0.0000 0.75781 1.000 0.000 0.000 0.000
#> 8C30EA0F-0DA1-43C7-81AE-DE825A53F114 3 0.2921 0.65219 0.000 0.000 0.860 0.140
#> 2CE7477C-DD09-4B3A-AD65-C696BE8C9B11 1 0.0000 0.75781 1.000 0.000 0.000 0.000
#> 4DECB19A-290F-4CEB-BE25-AAF9B9E2B58F 1 0.0000 0.75781 1.000 0.000 0.000 0.000
#> 3DEA9B14-DF42-43A0-AC4A-32AE7A16218D 2 0.7142 0.53336 0.004 0.572 0.168 0.256
#> 9F57D45B-C62F-44C5-AB9D-0CB54BBA16F5 3 0.2921 0.80209 0.140 0.000 0.860 0.000
#> 54ACCFD9-A8D6-4E4C-9097-1A0BE258AA1B 1 0.0000 0.75781 1.000 0.000 0.000 0.000
#> 9EE67DE9-9B56-4773-8F6A-1036D31F568E 4 0.1617 0.71506 0.008 0.012 0.024 0.956
#> 1B1C9301-D6D6-4F6B-80A3-3603013AA951 2 0.0000 0.82179 0.000 1.000 0.000 0.000
#> DDDCDF00-FB0A-477B-891B-2EE5E0C8F61E 3 0.2921 0.80209 0.140 0.000 0.860 0.000
#> 34A3260D-AC4D-416F-ADF0-24013048BC46 1 0.4564 0.54238 0.672 0.328 0.000 0.000
#> 671C1840-9C1B-4AC1-9564-78802489F763 1 0.0000 0.75781 1.000 0.000 0.000 0.000
#> BA4F7841-9FC3-4CE6-ACA5-43FC36641640 2 0.3907 0.55277 0.232 0.768 0.000 0.000
#> 24A02CE5-28E7-457E-8B90-4EACA528B072 1 0.0000 0.75781 1.000 0.000 0.000 0.000
#> C7008665-F6DE-48B4-A0E7-6C388B72C609 2 0.0000 0.82179 0.000 1.000 0.000 0.000
#> 50F984AB-95C1-4D7B-A787-418CBB59D165 4 0.4360 0.68208 0.248 0.000 0.008 0.744
#> 5FFD2A6A-ED8A-44A9-9FC1-3106341C284A 2 0.6621 0.57804 0.000 0.616 0.140 0.244
#> 7481630E-5CBA-4A4A-A16F-E327BCEE11D3 1 0.0000 0.75781 1.000 0.000 0.000 0.000
#> 7B3E6643-C148-4266-A3A3-80BAB713DD3E 2 0.0000 0.82179 0.000 1.000 0.000 0.000
#> BA8564FA-8D4D-4B2F-A178-63209F887A05 1 0.0707 0.74938 0.980 0.000 0.020 0.000
#> 2FB578F6-E8B7-434D-9720-D448A26C1EFD 1 0.0000 0.75781 1.000 0.000 0.000 0.000
#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 1 0.4948 0.34761 0.560 0.440 0.000 0.000
#> 740FCE46-8A4A-4A6A-B79F-78A63D28E313 2 0.6509 0.59127 0.000 0.632 0.140 0.228
#> 523A5832-0C42-44A4-A58F-7011C3A567DC 3 0.2921 0.80209 0.140 0.000 0.860 0.000
#> A2C68C81-7371-4E0C-BFD1-EA868A7C9499 2 0.3649 0.60684 0.204 0.796 0.000 0.000
#> 2EB7025A-D932-4238-BD60-609B25150029 3 0.4857 0.47335 0.016 0.000 0.700 0.284
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 2 0.6673 0.57127 0.000 0.608 0.140 0.252
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 2 0.0000 0.82179 0.000 1.000 0.000 0.000
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 2 0.0000 0.82179 0.000 1.000 0.000 0.000
#> F081EA01-ED14-491B-9620-BF8F10A7431D 3 0.4857 0.47014 0.000 0.016 0.700 0.284
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 2 0.0000 0.82179 0.000 1.000 0.000 0.000
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 4 0.4283 0.61099 0.000 0.004 0.256 0.740
#> B54639CE-F721-4908-B758-309F148AD3C2 2 0.6698 0.56781 0.000 0.604 0.140 0.256
#> EB4294E1-3FBC-495C-A041-829A654B59C5 3 0.2921 0.80209 0.140 0.000 0.860 0.000
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 1 0.1557 0.73700 0.944 0.056 0.000 0.000
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.0000 0.82179 0.000 1.000 0.000 0.000
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 1 0.0921 0.74927 0.972 0.028 0.000 0.000
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.0000 0.82179 0.000 1.000 0.000 0.000
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 1 0.0000 0.75781 1.000 0.000 0.000 0.000
#> D34036E4-1122-42AE-B20F-F4C8515872A0 2 0.5209 0.68603 0.000 0.756 0.140 0.104
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 2 0.0000 0.82179 0.000 1.000 0.000 0.000
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 4 0.4072 0.67999 0.252 0.000 0.000 0.748
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 3 0.2921 0.80209 0.140 0.000 0.860 0.000
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.0000 0.82179 0.000 1.000 0.000 0.000
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.0000 0.82179 0.000 1.000 0.000 0.000
#> F3C13430-405E-432E-8F3E-0DD18E86087E 1 0.9485 0.17655 0.400 0.204 0.140 0.256
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.0000 0.82179 0.000 1.000 0.000 0.000
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 1 0.0000 0.75781 1.000 0.000 0.000 0.000
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.0000 0.82179 0.000 1.000 0.000 0.000
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.0000 0.82179 0.000 1.000 0.000 0.000
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 1 0.2081 0.70283 0.916 0.000 0.000 0.084
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.3311 0.65275 0.172 0.828 0.000 0.000
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.0000 0.75781 1.000 0.000 0.000 0.000
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 4 0.2921 0.59082 0.000 0.000 0.140 0.860
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 1 0.0000 0.75781 1.000 0.000 0.000 0.000
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.5092 0.69147 0.000 0.764 0.140 0.096
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.2921 0.80209 0.140 0.000 0.860 0.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.2921 0.80209 0.140 0.000 0.860 0.000
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 2 0.6698 0.56781 0.000 0.604 0.140 0.256
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 2 0.0000 0.82179 0.000 1.000 0.000 0.000
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.4776 0.21416 0.376 0.624 0.000 0.000
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 4 0.4328 0.68545 0.244 0.000 0.008 0.748
#> 343F031B-0095-429D-8212-AD0581DBB05B 4 0.0707 0.71418 0.020 0.000 0.000 0.980
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 2 0.9057 0.43168 0.140 0.464 0.140 0.256
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.3610 0.55519 0.800 0.000 0.000 0.200
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 4 0.4356 0.58551 0.000 0.292 0.000 0.708
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 4 0.8812 0.12566 0.100 0.156 0.260 0.484
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 1 0.2921 0.68891 0.860 0.140 0.000 0.000
#> F9F33C38-A087-49FF-B994-3C9EE264F448 1 0.4624 0.52465 0.660 0.340 0.000 0.000
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.0000 0.82179 0.000 1.000 0.000 0.000
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.0000 0.82179 0.000 1.000 0.000 0.000
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.2921 0.80209 0.140 0.000 0.860 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.0000 0.75781 1.000 0.000 0.000 0.000
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.2921 0.80209 0.140 0.000 0.860 0.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 4 0.0000 0.70395 0.000 0.000 0.000 1.000
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.2921 0.80209 0.140 0.000 0.860 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.0000 0.82179 0.000 1.000 0.000 0.000
#> FC7821F4-6495-4545-A22A-764BB99B3F79 1 0.2408 0.70984 0.896 0.104 0.000 0.000
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.6621 0.57804 0.000 0.616 0.140 0.244
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 4 0.6792 0.43184 0.112 0.340 0.000 0.548
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.5398 0.47240 0.000 0.580 0.016 0.404
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.0000 0.82179 0.000 1.000 0.000 0.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 1 0.7332 0.41787 0.584 0.020 0.140 0.256
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 4 0.0000 0.70395 0.000 0.000 0.000 1.000
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.0000 0.82179 0.000 1.000 0.000 0.000
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.2921 0.80209 0.140 0.000 0.860 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 4 0.2921 0.59082 0.000 0.000 0.140 0.860
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.0469 0.81540 0.000 0.988 0.000 0.012
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 4 0.4360 0.68208 0.248 0.000 0.008 0.744
#> BEE081CA-8420-4314-88A0-286BB30FFD65 4 0.3528 0.50611 0.000 0.000 0.192 0.808
#> C464CD1D-4519-48E8-A18A-403F691E5702 1 0.3711 0.66061 0.836 0.000 0.140 0.024
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.0000 0.75781 1.000 0.000 0.000 0.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.7803 0.23388 0.000 0.404 0.340 0.256
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0000 0.82179 0.000 1.000 0.000 0.000
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.4941 -0.02611 0.564 0.000 0.436 0.000
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.0000 0.75781 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
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.4161 0.3667 0.392 0.608 0.000 0.000 0.000
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 4 0.0000 0.9151 0.000 0.000 0.000 1.000 0.000
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 5 0.0000 0.9067 0.000 0.000 0.000 0.000 1.000
#> 91202998-760F-4421-B1C4-18639962EDDA 4 0.0000 0.9151 0.000 0.000 0.000 1.000 0.000
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.0000 0.9332 0.000 1.000 0.000 0.000 0.000
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 5 0.0000 0.9067 0.000 0.000 0.000 0.000 1.000
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 4 0.4192 0.3060 0.000 0.000 0.000 0.596 0.404
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.0000 0.9332 0.000 1.000 0.000 0.000 0.000
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 5 0.0000 0.9067 0.000 0.000 0.000 0.000 1.000
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 5 0.0000 0.9067 0.000 0.000 0.000 0.000 1.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 4 0.0000 0.9151 0.000 0.000 0.000 1.000 0.000
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.0000 0.9492 0.000 0.000 1.000 0.000 0.000
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 5 0.0000 0.9067 0.000 0.000 0.000 0.000 1.000
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 5 0.2127 0.8260 0.108 0.000 0.000 0.000 0.892
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0000 0.9492 0.000 0.000 1.000 0.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.2605 0.7969 0.148 0.852 0.000 0.000 0.000
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.0000 0.9253 1.000 0.000 0.000 0.000 0.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 4 0.0000 0.9151 0.000 0.000 0.000 1.000 0.000
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 4 0.3661 0.6168 0.000 0.276 0.000 0.724 0.000
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.0000 0.9253 1.000 0.000 0.000 0.000 0.000
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#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 4 0.0000 0.9151 0.000 0.000 0.000 1.000 0.000
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.0000 0.9332 0.000 1.000 0.000 0.000 0.000
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0000 0.9492 0.000 0.000 1.000 0.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 5 0.0000 0.9067 0.000 0.000 0.000 0.000 1.000
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.0000 0.9332 0.000 1.000 0.000 0.000 0.000
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 4 0.0000 0.9151 0.000 0.000 0.000 1.000 0.000
#> BEE081CA-8420-4314-88A0-286BB30FFD65 4 0.3274 0.6978 0.000 0.000 0.000 0.780 0.220
#> C464CD1D-4519-48E8-A18A-403F691E5702 1 0.1544 0.8748 0.932 0.000 0.000 0.000 0.068
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.0000 0.9253 1.000 0.000 0.000 0.000 0.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 5 0.0000 0.9067 0.000 0.000 0.000 0.000 1.000
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0000 0.9332 0.000 1.000 0.000 0.000 0.000
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.4192 0.3305 0.596 0.000 0.404 0.000 0.000
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.0000 0.9253 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
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.5870 0.20956 0.328 0.460 0.000 0.000 0.000 0.212
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 4 0.3672 0.28582 0.000 0.000 0.000 0.632 0.000 0.368
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 5 0.0000 0.88339 0.000 0.000 0.000 0.000 1.000 0.000
#> 91202998-760F-4421-B1C4-18639962EDDA 4 0.0000 0.79710 0.000 0.000 0.000 1.000 0.000 0.000
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.0632 0.80826 0.000 0.976 0.000 0.000 0.000 0.024
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 5 0.2003 0.79652 0.000 0.000 0.000 0.000 0.884 0.116
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 5 0.6023 -0.04783 0.000 0.000 0.000 0.260 0.420 0.320
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.3101 0.55418 0.000 0.756 0.000 0.000 0.000 0.244
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 5 0.0547 0.87670 0.000 0.020 0.000 0.000 0.980 0.000
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 5 0.0458 0.87766 0.000 0.016 0.000 0.000 0.984 0.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 4 0.0000 0.79710 0.000 0.000 0.000 1.000 0.000 0.000
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.2969 0.65551 0.000 0.000 0.776 0.000 0.000 0.224
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 5 0.0458 0.87766 0.000 0.016 0.000 0.000 0.984 0.000
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 5 0.3787 0.70862 0.120 0.000 0.000 0.000 0.780 0.100
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0000 0.96263 0.000 0.000 1.000 0.000 0.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.3892 0.68894 0.048 0.740 0.000 0.000 0.000 0.212
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.0000 0.81774 1.000 0.000 0.000 0.000 0.000 0.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 6 0.3860 0.16526 0.000 0.000 0.000 0.472 0.000 0.528
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 6 0.3345 0.73136 0.000 0.184 0.000 0.028 0.000 0.788
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.2454 0.77754 0.840 0.000 0.000 0.000 0.000 0.160
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.5587 0.44470 0.240 0.548 0.000 0.000 0.000 0.212
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 5 0.2664 0.72580 0.000 0.184 0.000 0.000 0.816 0.000
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 1 0.2454 0.77754 0.840 0.000 0.000 0.000 0.000 0.160
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 4 0.3515 0.45052 0.324 0.000 0.000 0.676 0.000 0.000
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 5 0.0000 0.88339 0.000 0.000 0.000 0.000 1.000 0.000
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 5 0.0000 0.88339 0.000 0.000 0.000 0.000 1.000 0.000
#> 1139D935-739E-4C42-BFCB-06021A85932E 5 0.1075 0.85997 0.000 0.048 0.000 0.000 0.952 0.000
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.3198 0.53302 0.000 0.740 0.000 0.000 0.000 0.260
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.0000 0.96263 0.000 0.000 1.000 0.000 0.000 0.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 5 0.5037 0.50849 0.000 0.188 0.000 0.000 0.640 0.172
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 6 0.3073 0.64053 0.000 0.008 0.000 0.204 0.000 0.788
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 5 0.7089 -0.09675 0.320 0.088 0.000 0.000 0.388 0.204
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 6 0.3838 0.29500 0.000 0.448 0.000 0.000 0.000 0.552
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.0000 0.81147 0.000 1.000 0.000 0.000 0.000 0.000
#> 2846A3AC-D102-4E37-9B72-139ED727157A 5 0.2912 0.68556 0.000 0.216 0.000 0.000 0.784 0.000
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.5930 0.03863 0.384 0.404 0.000 0.000 0.000 0.212
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 4 0.0000 0.79710 0.000 0.000 0.000 1.000 0.000 0.000
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.3607 0.44169 0.652 0.000 0.000 0.348 0.000 0.000
#> 150F5B77-4848-4D68-800A-0A0236C3661F 5 0.1007 0.86236 0.000 0.044 0.000 0.000 0.956 0.000
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.0000 0.81774 1.000 0.000 0.000 0.000 0.000 0.000
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.0000 0.81147 0.000 1.000 0.000 0.000 0.000 0.000
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.0000 0.81147 0.000 1.000 0.000 0.000 0.000 0.000
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 4 0.2883 0.63365 0.212 0.000 0.000 0.788 0.000 0.000
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 5 0.0000 0.88339 0.000 0.000 0.000 0.000 1.000 0.000
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.5488 0.46066 0.220 0.568 0.000 0.000 0.000 0.212
#> 1447B543-D3AC-41B5-878F-B382FE49421B 1 0.0000 0.81774 1.000 0.000 0.000 0.000 0.000 0.000
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 1 0.4760 0.63584 0.668 0.120 0.000 0.000 0.000 0.212
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 4 0.4853 -0.08009 0.000 0.056 0.000 0.488 0.000 0.456
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.0000 0.96263 0.000 0.000 1.000 0.000 0.000 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 6 0.2941 0.62489 0.000 0.000 0.000 0.220 0.000 0.780
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 6 0.4098 0.00831 0.000 0.000 0.000 0.008 0.496 0.496
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.0000 0.81774 1.000 0.000 0.000 0.000 0.000 0.000
#> D9225689-21E0-478A-8F79-C26542938B8D 5 0.1204 0.85000 0.000 0.056 0.000 0.000 0.944 0.000
#> FC3BA46D-57F6-424C-8D62-16C441035969 5 0.0000 0.88339 0.000 0.000 0.000 0.000 1.000 0.000
#> 045CFFE6-4736-42F2-9340-C37690E47882 3 0.0000 0.96263 0.000 0.000 1.000 0.000 0.000 0.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 5 0.0000 0.88339 0.000 0.000 0.000 0.000 1.000 0.000
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 1 0.8069 0.25982 0.372 0.208 0.000 0.036 0.172 0.212
#> E94B217F-C5DC-4F42-8135-E81F338914B5 6 0.3693 0.71687 0.000 0.120 0.092 0.000 0.000 0.788
#> AE4C3956-76DF-4059-8D69-3D764F31817F 5 0.0713 0.87202 0.000 0.028 0.000 0.000 0.972 0.000
#> 33D6A38E-CD99-437B-99E0-04E72582F777 6 0.3487 0.67270 0.000 0.044 0.000 0.168 0.000 0.788
#> 8379051C-5847-42B5-AC5C-A128C166AB97 4 0.3868 -0.07723 0.000 0.000 0.000 0.508 0.000 0.492
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 4 0.3843 0.05660 0.000 0.000 0.000 0.548 0.000 0.452
#> 40A16429-229E-4F40-BFC7-263554438F99 5 0.0000 0.88339 0.000 0.000 0.000 0.000 1.000 0.000
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 5 0.0000 0.88339 0.000 0.000 0.000 0.000 1.000 0.000
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 6 0.6223 0.55156 0.000 0.064 0.004 0.116 0.248 0.568
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 1 0.4623 0.59003 0.716 0.000 0.068 0.192 0.000 0.024
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 4 0.3390 0.45162 0.000 0.000 0.000 0.704 0.000 0.296
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.2883 0.72396 0.000 0.788 0.000 0.000 0.000 0.212
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 6 0.3851 0.19983 0.000 0.000 0.000 0.460 0.000 0.540
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 6 0.3446 0.51629 0.000 0.000 0.000 0.308 0.000 0.692
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 2 0.3615 0.47807 0.000 0.700 0.008 0.000 0.000 0.292
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.0000 0.81147 0.000 1.000 0.000 0.000 0.000 0.000
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 5 0.0146 0.88216 0.000 0.004 0.000 0.000 0.996 0.000
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 4 0.1863 0.71582 0.000 0.000 0.000 0.896 0.000 0.104
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 1 0.3023 0.74836 0.784 0.004 0.000 0.000 0.000 0.212
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 6 0.6239 0.36303 0.000 0.024 0.284 0.000 0.200 0.492
#> FDB47AC4-CE6A-428B-9B55-EBCEF1970ACB 5 0.0000 0.88339 0.000 0.000 0.000 0.000 1.000 0.000
#> 133B7E7B-FD50-48A2-9A35-E6D44FAB976B 5 0.0000 0.88339 0.000 0.000 0.000 0.000 1.000 0.000
#> E69E45DA-66A6-438A-9BFC-5F1F7F5C5A87 4 0.0000 0.79710 0.000 0.000 0.000 1.000 0.000 0.000
#> 6E242DF5-8B8B-4C6F-870E-C7ADFFAFDF3E 2 0.0146 0.81031 0.000 0.996 0.000 0.000 0.000 0.004
#> CB7BBFF1-4BF3-42A9-85C6-680D91503799 4 0.0000 0.79710 0.000 0.000 0.000 1.000 0.000 0.000
#> 70AA4670-C75B-4E39-8958-3F9C29811871 2 0.3634 0.40632 0.000 0.644 0.000 0.000 0.356 0.000
#> D63C5178-4FF7-4FD0-B87E-6CBF6E7BEF5B 2 0.0146 0.81024 0.000 0.996 0.000 0.000 0.000 0.004
#> 814391F8-C5B9-43F6-A330-A6749BB8F16E 4 0.4420 0.39766 0.000 0.000 0.000 0.644 0.308 0.048
#> 146ED7EA-BF3C-4BAB-B33C-0A668AB13C80 4 0.0000 0.79710 0.000 0.000 0.000 1.000 0.000 0.000
#> FD5CAFE8-E669-406A-A505-A47DCDC32E93 4 0.5838 -0.00684 0.000 0.000 0.000 0.440 0.192 0.368
#> 4B3C7910-A652-45B5-8218-9002EB0FD9EB 5 0.0000 0.88339 0.000 0.000 0.000 0.000 1.000 0.000
#> E410F77D-E31F-4D73-ACAC-9245935A92F5 5 0.0000 0.88339 0.000 0.000 0.000 0.000 1.000 0.000
#> 64336403-9037-480C-873A-67BC77119FA5 2 0.3330 0.62429 0.000 0.716 0.000 0.000 0.000 0.284
#> 6F9D5013-3B1B-41EE-85DB-E51F5D828DEF 4 0.0000 0.79710 0.000 0.000 0.000 1.000 0.000 0.000
#> 155AEBBD-1C12-4F88-90C7-1C7FF7E3FB2C 6 0.2883 0.63221 0.000 0.000 0.000 0.212 0.000 0.788
#> D28DDCAA-682C-451F-8327-D2C2AFB044E2 5 0.3634 0.43858 0.000 0.356 0.000 0.000 0.644 0.000
#> 171523DC-2713-4EBF-A115-53A0BA174545 3 0.0000 0.96263 0.000 0.000 1.000 0.000 0.000 0.000
#> FD223304-87BA-4462-A5E5-01AB8C018C35 1 0.3867 0.03313 0.512 0.000 0.488 0.000 0.000 0.000
#> D8E06D8A-9063-4466-A3B0-7724F4737C7A 6 0.2912 0.61003 0.000 0.000 0.216 0.000 0.000 0.784
#> FFA5FFF7-6301-4CD8-8E63-A4D8294D1B0E 5 0.0000 0.88339 0.000 0.000 0.000 0.000 1.000 0.000
#> AF3648D6-C774-48CC-9428-ADC00402A562 3 0.0000 0.96263 0.000 0.000 1.000 0.000 0.000 0.000
#> BD406B65-B715-444E-95B4-F38D05BAC863 6 0.3782 0.31737 0.000 0.000 0.000 0.412 0.000 0.588
#> 6DB67CA1-0BEB-4585-9867-40E7C8A96D55 2 0.0363 0.81048 0.000 0.988 0.000 0.000 0.000 0.012
#> 49C9DE1D-784D-405A-9DD3-C4D2890D0309 1 0.0000 0.81774 1.000 0.000 0.000 0.000 0.000 0.000
#> 05EC4D30-D34E-4497-B4F4-80AEDC2E70DF 1 0.0000 0.81774 1.000 0.000 0.000 0.000 0.000 0.000
#> CB69E76B-7CD3-49EF-9ADF-75701FE1D0A8 4 0.0000 0.79710 0.000 0.000 0.000 1.000 0.000 0.000
#> 103C6E25-A69A-460E-81C0-7437547E1334 1 0.3133 0.74655 0.780 0.008 0.000 0.000 0.000 0.212
#> 2D986DB0-B5A8-42E8-ACB8-926A16FAABD6 2 0.0260 0.80879 0.000 0.992 0.000 0.000 0.000 0.008
#> 1B9A0F24-8A3F-4693-B09C-5F0EFE5A32A5 1 0.2854 0.75319 0.792 0.000 0.000 0.000 0.000 0.208
#> C064D1FE-753E-4493-907C-C5FFE19F9875 2 0.1765 0.78591 0.000 0.904 0.000 0.000 0.000 0.096
#> 71596860-AEFA-4B94-8ADE-AC33CEA24DD4 2 0.2933 0.64578 0.000 0.796 0.200 0.000 0.000 0.004
#> E9A3A454-AB4D-4683-B276-84DA43792DBB 4 0.0000 0.79710 0.000 0.000 0.000 1.000 0.000 0.000
#> C5717869-8413-4810-A042-32E949AD3B0A 4 0.4703 0.39296 0.000 0.000 0.312 0.620 0.000 0.068
#> F36B393E-859C-49F8-BDF4-ED2CEF4C6307 4 0.0000 0.79710 0.000 0.000 0.000 1.000 0.000 0.000
#> 4CC9D3F9-983F-4CB2-91F1-0FBB86D53DC3 2 0.3230 0.71624 0.012 0.776 0.000 0.000 0.000 0.212
#> D450F074-CA68-49CE-B0B3-F81A91D54867 3 0.0000 0.96263 0.000 0.000 1.000 0.000 0.000 0.000
#> 2BBD504E-FE90-4142-9204-0E33B6B56C7E 5 0.0000 0.88339 0.000 0.000 0.000 0.000 1.000 0.000
#> 1A457CBF-24DA-44F1-B9ED-F26B8D1245D4 6 0.2883 0.72919 0.000 0.212 0.000 0.000 0.000 0.788
#> F29B5A39-866E-4C9D-BC26-B726FEA5F576 1 0.0000 0.81774 1.000 0.000 0.000 0.000 0.000 0.000
#> 89A4972A-8C91-4272-96BE-BCA9BC447780 2 0.3351 0.48259 0.000 0.712 0.000 0.000 0.000 0.288
#> 70B014FD-A0D0-418C-B55F-D09BAE213D52 2 0.2378 0.68662 0.000 0.848 0.000 0.000 0.000 0.152
#> 8139F417-0548-40B4-851F-A4E149A2E06A 1 0.1556 0.80771 0.920 0.000 0.000 0.000 0.000 0.080
#> 6E9F0021-FA91-4516-9B04-6A978034CECF 4 0.3012 0.60558 0.196 0.000 0.000 0.796 0.000 0.008
#> 49DAF1CD-8E20-433B-91A7-8C885ACB21A5 5 0.0000 0.88339 0.000 0.000 0.000 0.000 1.000 0.000
#> 093765A6-145C-47C3-B87B-4560CD632B4C 2 0.2883 0.72396 0.000 0.788 0.000 0.000 0.000 0.212
#> 90731001-45B2-4601-93F5-064BDD519A30 3 0.0000 0.96263 0.000 0.000 1.000 0.000 0.000 0.000
#> 40BCB65D-BC26-4FEF-941F-6F4A42D475EB 2 0.2883 0.72396 0.000 0.788 0.000 0.000 0.000 0.212
#> 204317C4-B927-4CAC-AADF-E16D19410ADB 2 0.0146 0.81031 0.000 0.996 0.000 0.000 0.000 0.004
#> 1023707A-D6DE-432A-AD2D-2318C3F91FA2 2 0.0547 0.80295 0.000 0.980 0.000 0.000 0.000 0.020
#> 06F79E8E-50E3-485A-82E9-C7CD4C72333B 2 0.0000 0.81147 0.000 1.000 0.000 0.000 0.000 0.000
#> BFAF5464-D239-4A03-AC34-984DEBA84451 5 0.0000 0.88339 0.000 0.000 0.000 0.000 1.000 0.000
#> 96C7C73E-F3E1-4937-A267-B7DAAD8EDE37 6 0.3851 0.19954 0.000 0.000 0.000 0.460 0.000 0.540
#> 1D94B33B-9A3F-40BA-90AF-5248ED058C6F 5 0.0000 0.88339 0.000 0.000 0.000 0.000 1.000 0.000
#> 3407B68D-0277-465B-8819-10FAE3EE6572 3 0.0000 0.96263 0.000 0.000 1.000 0.000 0.000 0.000
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#> 7B3E6643-C148-4266-A3A3-80BAB713DD3E 2 0.0000 0.81147 0.000 1.000 0.000 0.000 0.000 0.000
#> BA8564FA-8D4D-4B2F-A178-63209F887A05 1 0.0713 0.81016 0.972 0.000 0.028 0.000 0.000 0.000
#> 2FB578F6-E8B7-434D-9720-D448A26C1EFD 1 0.1204 0.81192 0.944 0.000 0.000 0.000 0.000 0.056
#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 1 0.5929 0.03422 0.408 0.380 0.000 0.000 0.000 0.212
#> 740FCE46-8A4A-4A6A-B79F-78A63D28E313 5 0.2996 0.67006 0.000 0.228 0.000 0.000 0.772 0.000
#> 523A5832-0C42-44A4-A58F-7011C3A567DC 3 0.0000 0.96263 0.000 0.000 1.000 0.000 0.000 0.000
#> A2C68C81-7371-4E0C-BFD1-EA868A7C9499 2 0.2416 0.75721 0.000 0.844 0.000 0.000 0.000 0.156
#> 2EB7025A-D932-4238-BD60-609B25150029 5 0.0000 0.88339 0.000 0.000 0.000 0.000 1.000 0.000
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 5 0.1075 0.86042 0.000 0.048 0.000 0.000 0.952 0.000
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 2 0.1327 0.80210 0.000 0.936 0.000 0.000 0.000 0.064
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 2 0.3330 0.48862 0.000 0.716 0.000 0.000 0.000 0.284
#> F081EA01-ED14-491B-9620-BF8F10A7431D 5 0.0000 0.88339 0.000 0.000 0.000 0.000 1.000 0.000
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 2 0.1910 0.78101 0.000 0.892 0.000 0.000 0.000 0.108
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 6 0.2883 0.63221 0.000 0.000 0.000 0.212 0.000 0.788
#> B54639CE-F721-4908-B758-309F148AD3C2 5 0.0000 0.88339 0.000 0.000 0.000 0.000 1.000 0.000
#> EB4294E1-3FBC-495C-A041-829A654B59C5 3 0.0000 0.96263 0.000 0.000 1.000 0.000 0.000 0.000
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 1 0.2454 0.77754 0.840 0.000 0.000 0.000 0.000 0.160
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.0000 0.81147 0.000 1.000 0.000 0.000 0.000 0.000
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 1 0.2883 0.75072 0.788 0.000 0.000 0.000 0.000 0.212
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.0000 0.81147 0.000 1.000 0.000 0.000 0.000 0.000
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 1 0.0000 0.81774 1.000 0.000 0.000 0.000 0.000 0.000
#> D34036E4-1122-42AE-B20F-F4C8515872A0 5 0.3847 0.19230 0.000 0.456 0.000 0.000 0.544 0.000
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 2 0.3747 0.22015 0.000 0.604 0.000 0.000 0.000 0.396
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 4 0.0000 0.79710 0.000 0.000 0.000 1.000 0.000 0.000
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 3 0.0000 0.96263 0.000 0.000 1.000 0.000 0.000 0.000
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.0000 0.81147 0.000 1.000 0.000 0.000 0.000 0.000
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.0146 0.81134 0.000 0.996 0.000 0.000 0.000 0.004
#> F3C13430-405E-432E-8F3E-0DD18E86087E 5 0.3740 0.68679 0.200 0.024 0.000 0.000 0.764 0.012
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.0260 0.81094 0.000 0.992 0.000 0.000 0.000 0.008
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 1 0.0000 0.81774 1.000 0.000 0.000 0.000 0.000 0.000
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.0363 0.81056 0.000 0.988 0.000 0.000 0.000 0.012
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 6 0.3866 0.18553 0.000 0.484 0.000 0.000 0.000 0.516
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 1 0.3076 0.61139 0.760 0.000 0.000 0.240 0.000 0.000
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.2883 0.72396 0.000 0.788 0.000 0.000 0.000 0.212
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.2454 0.77754 0.840 0.000 0.000 0.000 0.000 0.160
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 5 0.3547 0.48034 0.000 0.000 0.000 0.332 0.668 0.000
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 1 0.0000 0.81774 1.000 0.000 0.000 0.000 0.000 0.000
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 5 0.2219 0.76416 0.000 0.136 0.000 0.000 0.864 0.000
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.0000 0.96263 0.000 0.000 1.000 0.000 0.000 0.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.0000 0.96263 0.000 0.000 1.000 0.000 0.000 0.000
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 5 0.1141 0.85684 0.000 0.052 0.000 0.000 0.948 0.000
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 2 0.3101 0.71053 0.000 0.756 0.000 0.000 0.000 0.244
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.2883 0.72396 0.000 0.788 0.000 0.000 0.000 0.212
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 4 0.0000 0.79710 0.000 0.000 0.000 1.000 0.000 0.000
#> 343F031B-0095-429D-8212-AD0581DBB05B 4 0.0000 0.79710 0.000 0.000 0.000 1.000 0.000 0.000
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 5 0.0000 0.88339 0.000 0.000 0.000 0.000 1.000 0.000
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.3499 0.48584 0.680 0.000 0.000 0.320 0.000 0.000
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 6 0.3626 0.72517 0.000 0.144 0.000 0.068 0.000 0.788
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 5 0.0000 0.88339 0.000 0.000 0.000 0.000 1.000 0.000
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 1 0.2883 0.75072 0.788 0.000 0.000 0.000 0.000 0.212
#> F9F33C38-A087-49FF-B994-3C9EE264F448 1 0.5884 0.18126 0.452 0.336 0.000 0.000 0.000 0.212
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.3371 0.51284 0.000 0.708 0.000 0.000 0.292 0.000
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.3620 0.33998 0.000 0.648 0.000 0.000 0.000 0.352
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.0000 0.96263 0.000 0.000 1.000 0.000 0.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.0000 0.81774 1.000 0.000 0.000 0.000 0.000 0.000
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.0000 0.96263 0.000 0.000 1.000 0.000 0.000 0.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 4 0.1556 0.73846 0.000 0.000 0.000 0.920 0.000 0.080
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.0000 0.96263 0.000 0.000 1.000 0.000 0.000 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.0000 0.81147 0.000 1.000 0.000 0.000 0.000 0.000
#> FC7821F4-6495-4545-A22A-764BB99B3F79 1 0.3023 0.74865 0.784 0.004 0.000 0.000 0.000 0.212
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.3950 0.19447 0.000 0.564 0.000 0.000 0.432 0.004
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 6 0.6019 0.59454 0.052 0.180 0.000 0.176 0.000 0.592
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 6 0.5569 0.53284 0.000 0.196 0.000 0.000 0.256 0.548
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.0000 0.81147 0.000 1.000 0.000 0.000 0.000 0.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 5 0.3409 0.56189 0.300 0.000 0.000 0.000 0.700 0.000
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 4 0.0000 0.79710 0.000 0.000 0.000 1.000 0.000 0.000
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.2883 0.72396 0.000 0.788 0.000 0.000 0.000 0.212
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0000 0.96263 0.000 0.000 1.000 0.000 0.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 5 0.0000 0.88339 0.000 0.000 0.000 0.000 1.000 0.000
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.1007 0.78929 0.000 0.956 0.000 0.000 0.000 0.044
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 4 0.0000 0.79710 0.000 0.000 0.000 1.000 0.000 0.000
#> BEE081CA-8420-4314-88A0-286BB30FFD65 4 0.3330 0.48619 0.000 0.000 0.000 0.716 0.284 0.000
#> C464CD1D-4519-48E8-A18A-403F691E5702 1 0.2888 0.77330 0.852 0.000 0.000 0.000 0.092 0.056
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.0000 0.81774 1.000 0.000 0.000 0.000 0.000 0.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 5 0.0000 0.88339 0.000 0.000 0.000 0.000 1.000 0.000
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0000 0.81147 0.000 1.000 0.000 0.000 0.000 0.000
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.3823 0.19652 0.564 0.000 0.436 0.000 0.000 0.000
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.1387 0.80924 0.932 0.000 0.000 0.000 0.000 0.068
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 17109 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'SD' method.
#> Subgroups are detected by 'pam' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.757 0.914 0.960 0.4525 0.554 0.554
#> 3 3 0.784 0.894 0.955 0.1829 0.910 0.839
#> 4 4 0.733 0.795 0.896 0.2300 0.828 0.651
#> 5 5 0.714 0.636 0.825 0.1180 0.807 0.508
#> 6 6 0.707 0.713 0.840 0.0448 0.956 0.829
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
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.8813 0.61896 0.300 0.700
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 2 0.0000 0.95916 0.000 1.000
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 2 0.0000 0.95916 0.000 1.000
#> 91202998-760F-4421-B1C4-18639962EDDA 1 0.0000 0.95425 1.000 0.000
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.0000 0.95916 0.000 1.000
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 2 0.0000 0.95916 0.000 1.000
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 2 0.5408 0.86347 0.124 0.876
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.0000 0.95916 0.000 1.000
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.0000 0.95916 0.000 1.000
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.0000 0.95916 0.000 1.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 2 0.5294 0.86723 0.120 0.880
#> 784B2359-6064-4FAA-9311-7A852F061FBB 2 0.0000 0.95916 0.000 1.000
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 2 0.0000 0.95916 0.000 1.000
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 1 0.5294 0.86239 0.880 0.120
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 1 0.6801 0.80047 0.820 0.180
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.5519 0.85906 0.128 0.872
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.0000 0.95425 1.000 0.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 2 0.2236 0.93600 0.036 0.964
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 2 0.0000 0.95916 0.000 1.000
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.0000 0.95425 1.000 0.000
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.9608 0.42818 0.384 0.616
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.0000 0.95916 0.000 1.000
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 1 0.5294 0.86239 0.880 0.120
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 1 0.1414 0.94237 0.980 0.020
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.0000 0.95916 0.000 1.000
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 2 0.0000 0.95916 0.000 1.000
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.0000 0.95916 0.000 1.000
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.0000 0.95916 0.000 1.000
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 2 0.9427 0.41491 0.360 0.640
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.0000 0.95916 0.000 1.000
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 2 0.0000 0.95916 0.000 1.000
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 2 0.0000 0.95916 0.000 1.000
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.0000 0.95916 0.000 1.000
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.0000 0.95916 0.000 1.000
#> 2846A3AC-D102-4E37-9B72-139ED727157A 2 0.0000 0.95916 0.000 1.000
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.6148 0.83427 0.152 0.848
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#> 34A3260D-AC4D-416F-ADF0-24013048BC46 1 0.9996 0.00185 0.512 0.488
#> 671C1840-9C1B-4AC1-9564-78802489F763 1 0.0000 0.95425 1.000 0.000
#> BA4F7841-9FC3-4CE6-ACA5-43FC36641640 2 0.0000 0.95916 0.000 1.000
#> 24A02CE5-28E7-457E-8B90-4EACA528B072 1 0.0000 0.95425 1.000 0.000
#> C7008665-F6DE-48B4-A0E7-6C388B72C609 2 0.0000 0.95916 0.000 1.000
#> 50F984AB-95C1-4D7B-A787-418CBB59D165 1 0.8386 0.63246 0.732 0.268
#> 5FFD2A6A-ED8A-44A9-9FC1-3106341C284A 2 0.0000 0.95916 0.000 1.000
#> 7481630E-5CBA-4A4A-A16F-E327BCEE11D3 1 0.0000 0.95425 1.000 0.000
#> 7B3E6643-C148-4266-A3A3-80BAB713DD3E 2 0.0000 0.95916 0.000 1.000
#> BA8564FA-8D4D-4B2F-A178-63209F887A05 1 0.3431 0.91239 0.936 0.064
#> 2FB578F6-E8B7-434D-9720-D448A26C1EFD 1 0.0000 0.95425 1.000 0.000
#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 1 0.6148 0.83391 0.848 0.152
#> 740FCE46-8A4A-4A6A-B79F-78A63D28E313 2 0.0000 0.95916 0.000 1.000
#> 523A5832-0C42-44A4-A58F-7011C3A567DC 2 0.7815 0.68735 0.232 0.768
#> A2C68C81-7371-4E0C-BFD1-EA868A7C9499 2 0.2043 0.93698 0.032 0.968
#> 2EB7025A-D932-4238-BD60-609B25150029 2 0.0000 0.95916 0.000 1.000
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 2 0.0000 0.95916 0.000 1.000
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 2 0.4939 0.87835 0.108 0.892
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 2 0.0000 0.95916 0.000 1.000
#> F081EA01-ED14-491B-9620-BF8F10A7431D 2 0.0000 0.95916 0.000 1.000
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 2 0.0000 0.95916 0.000 1.000
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 2 0.0000 0.95916 0.000 1.000
#> B54639CE-F721-4908-B758-309F148AD3C2 2 0.0000 0.95916 0.000 1.000
#> EB4294E1-3FBC-495C-A041-829A654B59C5 1 0.4690 0.88172 0.900 0.100
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 1 0.0000 0.95425 1.000 0.000
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.0000 0.95916 0.000 1.000
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 1 0.0000 0.95425 1.000 0.000
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.0000 0.95916 0.000 1.000
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 1 0.0000 0.95425 1.000 0.000
#> D34036E4-1122-42AE-B20F-F4C8515872A0 2 0.0000 0.95916 0.000 1.000
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 2 0.0000 0.95916 0.000 1.000
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 1 0.0000 0.95425 1.000 0.000
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 2 0.0000 0.95916 0.000 1.000
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.0000 0.95916 0.000 1.000
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.0000 0.95916 0.000 1.000
#> F3C13430-405E-432E-8F3E-0DD18E86087E 2 0.6048 0.83717 0.148 0.852
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.0000 0.95916 0.000 1.000
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 1 0.0000 0.95425 1.000 0.000
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.0000 0.95916 0.000 1.000
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.0000 0.95916 0.000 1.000
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 1 0.0000 0.95425 1.000 0.000
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.0000 0.95916 0.000 1.000
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.0000 0.95425 1.000 0.000
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 1 0.9661 0.34117 0.608 0.392
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 1 0.0000 0.95425 1.000 0.000
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.0000 0.95916 0.000 1.000
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 2 0.9087 0.50347 0.324 0.676
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 1 0.2043 0.93547 0.968 0.032
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 2 0.0000 0.95916 0.000 1.000
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 2 0.5294 0.86723 0.120 0.880
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.0672 0.95440 0.008 0.992
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 2 0.5294 0.86723 0.120 0.880
#> 343F031B-0095-429D-8212-AD0581DBB05B 2 0.6887 0.79562 0.184 0.816
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 2 0.0000 0.95916 0.000 1.000
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.0000 0.95425 1.000 0.000
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 2 0.0000 0.95916 0.000 1.000
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 2 0.0000 0.95916 0.000 1.000
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 1 0.0000 0.95425 1.000 0.000
#> F9F33C38-A087-49FF-B994-3C9EE264F448 1 0.0672 0.94981 0.992 0.008
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.0000 0.95916 0.000 1.000
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.0376 0.95676 0.004 0.996
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 2 0.0000 0.95916 0.000 1.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.0000 0.95425 1.000 0.000
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 2 0.0000 0.95916 0.000 1.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 2 0.5294 0.86723 0.120 0.880
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 1 0.4022 0.90066 0.920 0.080
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.0000 0.95916 0.000 1.000
#> FC7821F4-6495-4545-A22A-764BB99B3F79 1 0.8443 0.66513 0.728 0.272
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.0000 0.95916 0.000 1.000
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.0000 0.95916 0.000 1.000
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.0000 0.95916 0.000 1.000
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.0000 0.95916 0.000 1.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 1 0.4161 0.88961 0.916 0.084
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 2 0.5294 0.86723 0.120 0.880
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.0000 0.95916 0.000 1.000
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 2 0.0000 0.95916 0.000 1.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 2 0.6973 0.79045 0.188 0.812
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.5178 0.87098 0.116 0.884
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 1 0.2236 0.93290 0.964 0.036
#> BEE081CA-8420-4314-88A0-286BB30FFD65 2 0.2236 0.93597 0.036 0.964
#> C464CD1D-4519-48E8-A18A-403F691E5702 1 0.0000 0.95425 1.000 0.000
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.0000 0.95425 1.000 0.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.0000 0.95916 0.000 1.000
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0000 0.95916 0.000 1.000
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.4562 0.88543 0.904 0.096
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.0000 0.95425 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.6062 0.4608 0.384 0.616 0.000
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 2 0.1753 0.9108 0.048 0.952 0.000
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 2 0.0000 0.9426 0.000 1.000 0.000
#> 91202998-760F-4421-B1C4-18639962EDDA 1 0.0000 0.9302 1.000 0.000 0.000
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.0000 0.9426 0.000 1.000 0.000
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 2 0.0000 0.9426 0.000 1.000 0.000
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 2 0.5058 0.7205 0.244 0.756 0.000
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.0000 0.9426 0.000 1.000 0.000
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.0000 0.9426 0.000 1.000 0.000
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.0000 0.9426 0.000 1.000 0.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 2 0.5098 0.7151 0.248 0.752 0.000
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.0592 0.9842 0.000 0.012 0.988
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 2 0.0000 0.9426 0.000 1.000 0.000
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 1 0.4002 0.7452 0.840 0.160 0.000
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0000 0.9996 0.000 0.000 1.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.3412 0.8525 0.124 0.876 0.000
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.0000 0.9302 1.000 0.000 0.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 2 0.1753 0.9114 0.048 0.952 0.000
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 2 0.0000 0.9426 0.000 1.000 0.000
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.0000 0.9302 1.000 0.000 0.000
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.6286 0.2275 0.464 0.536 0.000
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.0000 0.9426 0.000 1.000 0.000
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 1 0.4654 0.6759 0.792 0.208 0.000
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 1 0.0747 0.9164 0.984 0.016 0.000
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.0000 0.9426 0.000 1.000 0.000
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 2 0.0000 0.9426 0.000 1.000 0.000
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.0000 0.9426 0.000 1.000 0.000
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.0000 0.9426 0.000 1.000 0.000
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.0000 0.9996 0.000 0.000 1.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.0000 0.9426 0.000 1.000 0.000
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 2 0.0000 0.9426 0.000 1.000 0.000
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 2 0.2537 0.8863 0.080 0.920 0.000
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.0000 0.9426 0.000 1.000 0.000
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.0000 0.9426 0.000 1.000 0.000
#> 2846A3AC-D102-4E37-9B72-139ED727157A 2 0.0000 0.9426 0.000 1.000 0.000
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.5291 0.6860 0.268 0.732 0.000
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 1 0.0000 0.9302 1.000 0.000 0.000
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.0000 0.9302 1.000 0.000 0.000
#> 150F5B77-4848-4D68-800A-0A0236C3661F 2 0.0000 0.9426 0.000 1.000 0.000
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.0000 0.9302 1.000 0.000 0.000
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.0000 0.9426 0.000 1.000 0.000
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.0000 0.9426 0.000 1.000 0.000
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 1 0.0000 0.9302 1.000 0.000 0.000
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 2 0.0000 0.9426 0.000 1.000 0.000
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.0892 0.9287 0.020 0.980 0.000
#> 1447B543-D3AC-41B5-878F-B382FE49421B 1 0.0000 0.9302 1.000 0.000 0.000
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 1 0.0000 0.9302 1.000 0.000 0.000
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 2 0.5098 0.7151 0.248 0.752 0.000
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.0000 0.9996 0.000 0.000 1.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 2 0.0000 0.9426 0.000 1.000 0.000
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 2 0.0000 0.9426 0.000 1.000 0.000
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.0000 0.9302 1.000 0.000 0.000
#> D9225689-21E0-478A-8F79-C26542938B8D 2 0.0000 0.9426 0.000 1.000 0.000
#> FC3BA46D-57F6-424C-8D62-16C441035969 2 0.0000 0.9426 0.000 1.000 0.000
#> 045CFFE6-4736-42F2-9340-C37690E47882 3 0.0000 0.9996 0.000 0.000 1.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 1 0.6079 0.3211 0.612 0.388 0.000
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 2 0.2711 0.8749 0.088 0.912 0.000
#> E94B217F-C5DC-4F42-8135-E81F338914B5 2 0.0000 0.9426 0.000 1.000 0.000
#> AE4C3956-76DF-4059-8D69-3D764F31817F 2 0.0000 0.9426 0.000 1.000 0.000
#> 33D6A38E-CD99-437B-99E0-04E72582F777 2 0.0000 0.9426 0.000 1.000 0.000
#> 8379051C-5847-42B5-AC5C-A128C166AB97 2 0.5098 0.7151 0.248 0.752 0.000
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 2 0.5098 0.7151 0.248 0.752 0.000
#> 40A16429-229E-4F40-BFC7-263554438F99 2 0.0000 0.9426 0.000 1.000 0.000
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 2 0.0000 0.9426 0.000 1.000 0.000
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 2 0.0000 0.9426 0.000 1.000 0.000
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 1 0.0000 0.9302 1.000 0.000 0.000
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 2 0.5098 0.7151 0.248 0.752 0.000
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.0000 0.9426 0.000 1.000 0.000
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 2 0.5098 0.7151 0.248 0.752 0.000
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 2 0.0237 0.9402 0.004 0.996 0.000
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 2 0.0000 0.9426 0.000 1.000 0.000
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.0000 0.9426 0.000 1.000 0.000
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 2 0.0000 0.9426 0.000 1.000 0.000
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 2 0.5098 0.7151 0.248 0.752 0.000
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 1 0.5138 0.6059 0.748 0.252 0.000
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 2 0.0000 0.9426 0.000 1.000 0.000
#> FDB47AC4-CE6A-428B-9B55-EBCEF1970ACB 2 0.0000 0.9426 0.000 1.000 0.000
#> 133B7E7B-FD50-48A2-9A35-E6D44FAB976B 2 0.0000 0.9426 0.000 1.000 0.000
#> E69E45DA-66A6-438A-9BFC-5F1F7F5C5A87 2 0.3619 0.8380 0.136 0.864 0.000
#> 6E242DF5-8B8B-4C6F-870E-C7ADFFAFDF3E 2 0.0000 0.9426 0.000 1.000 0.000
#> CB7BBFF1-4BF3-42A9-85C6-680D91503799 1 0.5560 0.5359 0.700 0.300 0.000
#> 70AA4670-C75B-4E39-8958-3F9C29811871 2 0.0000 0.9426 0.000 1.000 0.000
#> D63C5178-4FF7-4FD0-B87E-6CBF6E7BEF5B 2 0.0000 0.9426 0.000 1.000 0.000
#> 814391F8-C5B9-43F6-A330-A6749BB8F16E 2 0.0000 0.9426 0.000 1.000 0.000
#> 146ED7EA-BF3C-4BAB-B33C-0A668AB13C80 2 0.5098 0.7151 0.248 0.752 0.000
#> FD5CAFE8-E669-406A-A505-A47DCDC32E93 2 0.0000 0.9426 0.000 1.000 0.000
#> 4B3C7910-A652-45B5-8218-9002EB0FD9EB 2 0.0000 0.9426 0.000 1.000 0.000
#> E410F77D-E31F-4D73-ACAC-9245935A92F5 1 0.4750 0.6637 0.784 0.216 0.000
#> 64336403-9037-480C-873A-67BC77119FA5 2 0.0000 0.9426 0.000 1.000 0.000
#> 6F9D5013-3B1B-41EE-85DB-E51F5D828DEF 2 0.3116 0.8647 0.108 0.892 0.000
#> 155AEBBD-1C12-4F88-90C7-1C7FF7E3FB2C 2 0.0000 0.9426 0.000 1.000 0.000
#> D28DDCAA-682C-451F-8327-D2C2AFB044E2 2 0.0000 0.9426 0.000 1.000 0.000
#> 171523DC-2713-4EBF-A115-53A0BA174545 3 0.0000 0.9996 0.000 0.000 1.000
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#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.0000 0.9426 0.000 1.000 0.000
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.0000 0.9426 0.000 1.000 0.000
#> F3C13430-405E-432E-8F3E-0DD18E86087E 2 0.3686 0.8381 0.140 0.860 0.000
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.0000 0.9426 0.000 1.000 0.000
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 1 0.0000 0.9302 1.000 0.000 0.000
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.0000 0.9426 0.000 1.000 0.000
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.0000 0.9426 0.000 1.000 0.000
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 1 0.2356 0.8562 0.928 0.072 0.000
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.0000 0.9426 0.000 1.000 0.000
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.0000 0.9302 1.000 0.000 0.000
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 1 0.5733 0.4952 0.676 0.324 0.000
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 1 0.0000 0.9302 1.000 0.000 0.000
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.0000 0.9426 0.000 1.000 0.000
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.0000 0.9996 0.000 0.000 1.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.0000 0.9996 0.000 0.000 1.000
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 2 0.0000 0.9426 0.000 1.000 0.000
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 2 0.5058 0.7204 0.244 0.756 0.000
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.2625 0.8844 0.084 0.916 0.000
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 2 0.5098 0.7151 0.248 0.752 0.000
#> 343F031B-0095-429D-8212-AD0581DBB05B 2 0.5529 0.6408 0.296 0.704 0.000
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 2 0.0000 0.9426 0.000 1.000 0.000
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.0000 0.9302 1.000 0.000 0.000
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 2 0.0000 0.9426 0.000 1.000 0.000
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 2 0.0000 0.9426 0.000 1.000 0.000
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 1 0.0000 0.9302 1.000 0.000 0.000
#> F9F33C38-A087-49FF-B994-3C9EE264F448 1 0.0424 0.9236 0.992 0.008 0.000
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.0000 0.9426 0.000 1.000 0.000
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.0237 0.9402 0.004 0.996 0.000
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.0000 0.9996 0.000 0.000 1.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.0000 0.9302 1.000 0.000 0.000
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.0000 0.9996 0.000 0.000 1.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 2 0.4504 0.7769 0.196 0.804 0.000
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.0000 0.9996 0.000 0.000 1.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.0000 0.9426 0.000 1.000 0.000
#> FC7821F4-6495-4545-A22A-764BB99B3F79 1 0.5882 0.4708 0.652 0.348 0.000
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.0000 0.9426 0.000 1.000 0.000
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.0000 0.9426 0.000 1.000 0.000
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.0000 0.9426 0.000 1.000 0.000
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.0000 0.9426 0.000 1.000 0.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 1 0.2165 0.8669 0.936 0.064 0.000
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 2 0.5098 0.7151 0.248 0.752 0.000
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.0000 0.9426 0.000 1.000 0.000
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0000 0.9996 0.000 0.000 1.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 2 0.5497 0.6476 0.292 0.708 0.000
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.3752 0.8301 0.144 0.856 0.000
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 1 0.1860 0.8812 0.948 0.052 0.000
#> BEE081CA-8420-4314-88A0-286BB30FFD65 2 0.3816 0.8302 0.148 0.852 0.000
#> C464CD1D-4519-48E8-A18A-403F691E5702 1 0.0237 0.9269 0.996 0.004 0.000
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.0000 0.9302 1.000 0.000 0.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.0000 0.9426 0.000 1.000 0.000
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0000 0.9426 0.000 1.000 0.000
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.3192 0.8094 0.888 0.112 0.000
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.0000 0.9302 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 4 0.5574 0.6161 0.048 0.284 0.000 0.668
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 4 0.4866 0.4660 0.000 0.404 0.000 0.596
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 2 0.0817 0.9101 0.024 0.976 0.000 0.000
#> 91202998-760F-4421-B1C4-18639962EDDA 4 0.0000 0.7232 0.000 0.000 0.000 1.000
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.4231 0.8071 0.080 0.824 0.000 0.096
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 2 0.0000 0.9157 0.000 1.000 0.000 0.000
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 4 0.4941 0.2192 0.000 0.436 0.000 0.564
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.2408 0.8939 0.044 0.920 0.000 0.036
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.0000 0.9157 0.000 1.000 0.000 0.000
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.0000 0.9157 0.000 1.000 0.000 0.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 4 0.0000 0.7232 0.000 0.000 0.000 1.000
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.0336 0.9876 0.000 0.008 0.992 0.000
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 2 0.0000 0.9157 0.000 1.000 0.000 0.000
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 1 0.2530 0.7968 0.888 0.112 0.000 0.000
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0000 0.9997 0.000 0.000 1.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.3486 0.7962 0.188 0.812 0.000 0.000
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.2647 0.8762 0.880 0.000 0.000 0.120
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 4 0.5452 0.5119 0.024 0.360 0.000 0.616
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 2 0.1118 0.9007 0.000 0.964 0.000 0.036
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.1389 0.8758 0.952 0.000 0.000 0.048
#> D7A50E95-777C-47A6-8F93-031CB4770633 4 0.6525 0.5755 0.116 0.272 0.000 0.612
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.0000 0.9157 0.000 1.000 0.000 0.000
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 1 0.0000 0.8489 1.000 0.000 0.000 0.000
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 4 0.0000 0.7232 0.000 0.000 0.000 1.000
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.0000 0.9157 0.000 1.000 0.000 0.000
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 2 0.0000 0.9157 0.000 1.000 0.000 0.000
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.1867 0.8945 0.072 0.928 0.000 0.000
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.5989 0.1372 0.044 0.556 0.000 0.400
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.0000 0.9997 0.000 0.000 1.000 0.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.0000 0.9157 0.000 1.000 0.000 0.000
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 2 0.2760 0.8138 0.000 0.872 0.000 0.128
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 2 0.4164 0.5488 0.000 0.736 0.000 0.264
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.0000 0.9157 0.000 1.000 0.000 0.000
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.0707 0.9128 0.020 0.980 0.000 0.000
#> 2846A3AC-D102-4E37-9B72-139ED727157A 2 0.0000 0.9157 0.000 1.000 0.000 0.000
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.5993 0.6277 0.148 0.692 0.000 0.160
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 4 0.0188 0.7224 0.004 0.000 0.000 0.996
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.2704 0.8748 0.876 0.000 0.000 0.124
#> 150F5B77-4848-4D68-800A-0A0236C3661F 2 0.0469 0.9124 0.000 0.988 0.000 0.012
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.1557 0.8780 0.944 0.000 0.000 0.056
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.0000 0.9157 0.000 1.000 0.000 0.000
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.1637 0.9006 0.060 0.940 0.000 0.000
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 1 0.4866 0.5491 0.596 0.000 0.000 0.404
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 2 0.0000 0.9157 0.000 1.000 0.000 0.000
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.2973 0.8426 0.144 0.856 0.000 0.000
#> 1447B543-D3AC-41B5-878F-B382FE49421B 4 0.4543 0.4088 0.324 0.000 0.000 0.676
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 1 0.0000 0.8489 1.000 0.000 0.000 0.000
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 4 0.4331 0.6215 0.000 0.288 0.000 0.712
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.0000 0.9997 0.000 0.000 1.000 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 4 0.4866 0.4660 0.000 0.404 0.000 0.596
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 2 0.1211 0.8989 0.000 0.960 0.000 0.040
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.2647 0.8762 0.880 0.000 0.000 0.120
#> D9225689-21E0-478A-8F79-C26542938B8D 2 0.0000 0.9157 0.000 1.000 0.000 0.000
#> FC3BA46D-57F6-424C-8D62-16C441035969 2 0.0000 0.9157 0.000 1.000 0.000 0.000
#> 045CFFE6-4736-42F2-9340-C37690E47882 3 0.0000 0.9997 0.000 0.000 1.000 0.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 2 0.7044 -0.1218 0.428 0.452 0.000 0.120
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 2 0.4053 0.7419 0.228 0.768 0.000 0.004
#> E94B217F-C5DC-4F42-8135-E81F338914B5 2 0.0000 0.9157 0.000 1.000 0.000 0.000
#> AE4C3956-76DF-4059-8D69-3D764F31817F 2 0.0000 0.9157 0.000 1.000 0.000 0.000
#> 33D6A38E-CD99-437B-99E0-04E72582F777 4 0.4866 0.4660 0.000 0.404 0.000 0.596
#> 8379051C-5847-42B5-AC5C-A128C166AB97 4 0.0000 0.7232 0.000 0.000 0.000 1.000
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 4 0.1211 0.7242 0.000 0.040 0.000 0.960
#> 40A16429-229E-4F40-BFC7-263554438F99 2 0.0000 0.9157 0.000 1.000 0.000 0.000
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 2 0.0000 0.9157 0.000 1.000 0.000 0.000
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 2 0.0000 0.9157 0.000 1.000 0.000 0.000
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 1 0.2647 0.8762 0.880 0.000 0.000 0.120
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 4 0.0469 0.7206 0.012 0.000 0.000 0.988
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.2647 0.8606 0.120 0.880 0.000 0.000
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 4 0.0000 0.7232 0.000 0.000 0.000 1.000
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 2 0.4417 0.7685 0.044 0.796 0.000 0.160
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 2 0.0000 0.9157 0.000 1.000 0.000 0.000
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.1302 0.9057 0.044 0.956 0.000 0.000
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 2 0.0000 0.9157 0.000 1.000 0.000 0.000
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 4 0.0000 0.7232 0.000 0.000 0.000 1.000
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 1 0.4539 0.4307 0.720 0.272 0.000 0.008
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 2 0.4855 0.1410 0.000 0.600 0.000 0.400
#> FDB47AC4-CE6A-428B-9B55-EBCEF1970ACB 2 0.0000 0.9157 0.000 1.000 0.000 0.000
#> 133B7E7B-FD50-48A2-9A35-E6D44FAB976B 2 0.1022 0.9075 0.032 0.968 0.000 0.000
#> E69E45DA-66A6-438A-9BFC-5F1F7F5C5A87 2 0.5000 0.0277 0.000 0.504 0.000 0.496
#> 6E242DF5-8B8B-4C6F-870E-C7ADFFAFDF3E 2 0.1118 0.9007 0.000 0.964 0.000 0.036
#> CB7BBFF1-4BF3-42A9-85C6-680D91503799 4 0.0000 0.7232 0.000 0.000 0.000 1.000
#> 70AA4670-C75B-4E39-8958-3F9C29811871 2 0.0000 0.9157 0.000 1.000 0.000 0.000
#> D63C5178-4FF7-4FD0-B87E-6CBF6E7BEF5B 2 0.1302 0.9057 0.044 0.956 0.000 0.000
#> 814391F8-C5B9-43F6-A330-A6749BB8F16E 2 0.1118 0.9007 0.000 0.964 0.000 0.036
#> 146ED7EA-BF3C-4BAB-B33C-0A668AB13C80 4 0.0000 0.7232 0.000 0.000 0.000 1.000
#> FD5CAFE8-E669-406A-A505-A47DCDC32E93 2 0.1389 0.8945 0.000 0.952 0.000 0.048
#> 4B3C7910-A652-45B5-8218-9002EB0FD9EB 2 0.0000 0.9157 0.000 1.000 0.000 0.000
#> E410F77D-E31F-4D73-ACAC-9245935A92F5 1 0.6422 0.5289 0.632 0.248 0.000 0.120
#> 64336403-9037-480C-873A-67BC77119FA5 2 0.2281 0.8782 0.096 0.904 0.000 0.000
#> 6F9D5013-3B1B-41EE-85DB-E51F5D828DEF 2 0.0592 0.9122 0.000 0.984 0.000 0.016
#> 155AEBBD-1C12-4F88-90C7-1C7FF7E3FB2C 2 0.1118 0.9007 0.000 0.964 0.000 0.036
#> D28DDCAA-682C-451F-8327-D2C2AFB044E2 2 0.0000 0.9157 0.000 1.000 0.000 0.000
#> 171523DC-2713-4EBF-A115-53A0BA174545 3 0.0000 0.9997 0.000 0.000 1.000 0.000
#> FD223304-87BA-4462-A5E5-01AB8C018C35 4 0.4522 0.4084 0.320 0.000 0.000 0.680
#> D8E06D8A-9063-4466-A3B0-7724F4737C7A 2 0.0000 0.9157 0.000 1.000 0.000 0.000
#> FFA5FFF7-6301-4CD8-8E63-A4D8294D1B0E 2 0.0000 0.9157 0.000 1.000 0.000 0.000
#> AF3648D6-C774-48CC-9428-ADC00402A562 3 0.0000 0.9997 0.000 0.000 1.000 0.000
#> BD406B65-B715-444E-95B4-F38D05BAC863 4 0.1637 0.7155 0.000 0.060 0.000 0.940
#> 6DB67CA1-0BEB-4585-9867-40E7C8A96D55 2 0.1022 0.9081 0.032 0.968 0.000 0.000
#> 49C9DE1D-784D-405A-9DD3-C4D2890D0309 1 0.1867 0.8801 0.928 0.000 0.000 0.072
#> 05EC4D30-D34E-4497-B4F4-80AEDC2E70DF 1 0.2216 0.8798 0.908 0.000 0.000 0.092
#> CB69E76B-7CD3-49EF-9ADF-75701FE1D0A8 4 0.0000 0.7232 0.000 0.000 0.000 1.000
#> 103C6E25-A69A-460E-81C0-7437547E1334 2 0.2266 0.8848 0.084 0.912 0.000 0.004
#> 2D986DB0-B5A8-42E8-ACB8-926A16FAABD6 2 0.0000 0.9157 0.000 1.000 0.000 0.000
#> 1B9A0F24-8A3F-4693-B09C-5F0EFE5A32A5 1 0.0469 0.8427 0.988 0.012 0.000 0.000
#> C064D1FE-753E-4493-907C-C5FFE19F9875 2 0.2216 0.8808 0.092 0.908 0.000 0.000
#> 71596860-AEFA-4B94-8ADE-AC33CEA24DD4 2 0.1211 0.8944 0.000 0.960 0.000 0.040
#> E9A3A454-AB4D-4683-B276-84DA43792DBB 4 0.0000 0.7232 0.000 0.000 0.000 1.000
#> C5717869-8413-4810-A042-32E949AD3B0A 4 0.1389 0.7224 0.000 0.048 0.000 0.952
#> F36B393E-859C-49F8-BDF4-ED2CEF4C6307 4 0.4769 0.6091 0.008 0.308 0.000 0.684
#> 4CC9D3F9-983F-4CB2-91F1-0FBB86D53DC3 4 0.6824 0.5026 0.120 0.324 0.000 0.556
#> D450F074-CA68-49CE-B0B3-F81A91D54867 4 0.4941 0.4156 0.000 0.436 0.000 0.564
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#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.1389 0.9049 0.048 0.952 0.000 0.000
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 1 0.1211 0.8716 0.960 0.000 0.000 0.040
#> D34036E4-1122-42AE-B20F-F4C8515872A0 2 0.0000 0.9157 0.000 1.000 0.000 0.000
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 2 0.0188 0.9154 0.004 0.996 0.000 0.000
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 4 0.1302 0.7049 0.044 0.000 0.000 0.956
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 3 0.0000 0.9997 0.000 0.000 1.000 0.000
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.1389 0.9046 0.048 0.952 0.000 0.000
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.1389 0.9050 0.048 0.952 0.000 0.000
#> F3C13430-405E-432E-8F3E-0DD18E86087E 2 0.3791 0.7777 0.200 0.796 0.000 0.004
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.1867 0.8945 0.072 0.928 0.000 0.000
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 1 0.2647 0.8762 0.880 0.000 0.000 0.120
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.1557 0.9023 0.056 0.944 0.000 0.000
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.2408 0.8939 0.044 0.920 0.000 0.036
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 1 0.2760 0.8368 0.872 0.000 0.000 0.128
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.2647 0.8606 0.120 0.880 0.000 0.000
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.0336 0.8549 0.992 0.000 0.000 0.008
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 4 0.6875 0.3101 0.112 0.368 0.000 0.520
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 1 0.2530 0.8778 0.888 0.000 0.000 0.112
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.0000 0.9157 0.000 1.000 0.000 0.000
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.0000 0.9997 0.000 0.000 1.000 0.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.0000 0.9997 0.000 0.000 1.000 0.000
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 2 0.1302 0.9057 0.044 0.956 0.000 0.000
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 4 0.4564 0.5832 0.000 0.328 0.000 0.672
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.5010 0.7510 0.120 0.772 0.000 0.108
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 4 0.0336 0.7218 0.008 0.000 0.000 0.992
#> 343F031B-0095-429D-8212-AD0581DBB05B 4 0.0000 0.7232 0.000 0.000 0.000 1.000
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 2 0.0000 0.9157 0.000 1.000 0.000 0.000
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.3837 0.7781 0.776 0.000 0.000 0.224
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 2 0.2227 0.8971 0.036 0.928 0.000 0.036
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 2 0.0000 0.9157 0.000 1.000 0.000 0.000
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 4 0.4916 0.3020 0.424 0.000 0.000 0.576
#> F9F33C38-A087-49FF-B994-3C9EE264F448 1 0.2760 0.7574 0.872 0.000 0.000 0.128
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.0000 0.9157 0.000 1.000 0.000 0.000
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.3634 0.8411 0.048 0.856 0.000 0.096
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.0000 0.9997 0.000 0.000 1.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.2647 0.8762 0.880 0.000 0.000 0.120
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.0000 0.9997 0.000 0.000 1.000 0.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 4 0.2868 0.6471 0.000 0.136 0.000 0.864
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.0000 0.9997 0.000 0.000 1.000 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.1302 0.9057 0.044 0.956 0.000 0.000
#> FC7821F4-6495-4545-A22A-764BB99B3F79 1 0.3074 0.6544 0.848 0.152 0.000 0.000
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.0000 0.9157 0.000 1.000 0.000 0.000
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 4 0.5288 0.3159 0.008 0.472 0.000 0.520
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.0000 0.9157 0.000 1.000 0.000 0.000
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.1302 0.9057 0.044 0.956 0.000 0.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 1 0.2984 0.7904 0.888 0.084 0.000 0.028
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 4 0.0469 0.7252 0.000 0.012 0.000 0.988
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.1302 0.9057 0.044 0.956 0.000 0.000
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0000 0.9997 0.000 0.000 1.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 2 0.4374 0.7497 0.068 0.812 0.000 0.120
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 4 0.5712 0.5657 0.048 0.308 0.000 0.644
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 4 0.2494 0.7127 0.048 0.036 0.000 0.916
#> BEE081CA-8420-4314-88A0-286BB30FFD65 2 0.2814 0.8112 0.000 0.868 0.000 0.132
#> C464CD1D-4519-48E8-A18A-403F691E5702 1 0.2589 0.8770 0.884 0.000 0.000 0.116
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.2647 0.8762 0.880 0.000 0.000 0.120
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.0000 0.9157 0.000 1.000 0.000 0.000
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.2216 0.8808 0.092 0.908 0.000 0.000
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.2450 0.8377 0.912 0.072 0.000 0.016
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.1302 0.8746 0.956 0.000 0.000 0.044
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.4597 0.1685 0.012 0.564 0.000 0.424 0.000
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 5 0.4268 0.1685 0.000 0.000 0.000 0.444 0.556
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 5 0.4383 0.3743 0.004 0.424 0.000 0.000 0.572
#> 91202998-760F-4421-B1C4-18639962EDDA 4 0.0290 0.8151 0.008 0.000 0.000 0.992 0.000
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.5877 0.5975 0.004 0.544 0.000 0.096 0.356
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 5 0.0000 0.7858 0.000 0.000 0.000 0.000 1.000
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 5 0.4708 0.1435 0.016 0.000 0.000 0.436 0.548
#> 54337CE9-6F12-4712-8131-4B83F3216343 5 0.4243 0.3124 0.000 0.264 0.000 0.024 0.712
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 5 0.0000 0.7858 0.000 0.000 0.000 0.000 1.000
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 5 0.0000 0.7858 0.000 0.000 0.000 0.000 1.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 4 0.0000 0.8168 0.000 0.000 0.000 1.000 0.000
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.0290 0.9872 0.000 0.000 0.992 0.000 0.008
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 5 0.4375 0.3775 0.004 0.420 0.000 0.000 0.576
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 1 0.0290 0.8898 0.992 0.000 0.000 0.000 0.008
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0000 0.9997 0.000 0.000 1.000 0.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.4375 0.6175 0.004 0.576 0.000 0.000 0.420
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.0162 0.8940 0.996 0.000 0.000 0.004 0.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 4 0.6645 0.0696 0.000 0.244 0.000 0.440 0.316
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 5 0.0703 0.7752 0.000 0.000 0.000 0.024 0.976
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.0290 0.8921 0.992 0.008 0.000 0.000 0.000
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.4249 0.1725 0.000 0.568 0.000 0.432 0.000
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 5 0.4383 0.3740 0.004 0.424 0.000 0.000 0.572
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 1 0.0290 0.8921 0.992 0.008 0.000 0.000 0.000
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 4 0.0000 0.8168 0.000 0.000 0.000 1.000 0.000
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 5 0.0000 0.7858 0.000 0.000 0.000 0.000 1.000
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 5 0.4375 0.3775 0.004 0.420 0.000 0.000 0.576
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.3231 0.2820 0.004 0.800 0.000 0.000 0.196
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.5752 0.2740 0.000 0.524 0.000 0.384 0.092
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.0000 0.9997 0.000 0.000 1.000 0.000 0.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 5 0.0000 0.7858 0.000 0.000 0.000 0.000 1.000
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 5 0.1082 0.7699 0.000 0.008 0.000 0.028 0.964
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 5 0.3766 0.4883 0.000 0.004 0.000 0.268 0.728
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 5 0.0000 0.7858 0.000 0.000 0.000 0.000 1.000
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 5 0.0963 0.7586 0.000 0.036 0.000 0.000 0.964
#> 2846A3AC-D102-4E37-9B72-139ED727157A 5 0.0000 0.7858 0.000 0.000 0.000 0.000 1.000
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.4875 0.6197 0.004 0.576 0.000 0.020 0.400
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 4 0.0290 0.8151 0.008 0.000 0.000 0.992 0.000
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.0162 0.8940 0.996 0.000 0.000 0.004 0.000
#> 150F5B77-4848-4D68-800A-0A0236C3661F 5 0.0451 0.7822 0.004 0.000 0.000 0.008 0.988
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.0451 0.8931 0.988 0.008 0.000 0.004 0.000
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 5 0.0000 0.7858 0.000 0.000 0.000 0.000 1.000
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.4294 0.5633 0.000 0.532 0.000 0.000 0.468
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 4 0.4268 0.0962 0.444 0.000 0.000 0.556 0.000
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 5 0.0000 0.7858 0.000 0.000 0.000 0.000 1.000
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.4917 0.6033 0.028 0.556 0.000 0.000 0.416
#> 1447B543-D3AC-41B5-878F-B382FE49421B 1 0.5201 0.1645 0.532 0.044 0.000 0.424 0.000
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 1 0.1197 0.8666 0.952 0.048 0.000 0.000 0.000
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 5 0.4664 0.1598 0.008 0.004 0.000 0.436 0.552
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.0000 0.9997 0.000 0.000 1.000 0.000 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 5 0.4268 0.1685 0.000 0.000 0.000 0.444 0.556
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 5 0.5071 0.3581 0.004 0.420 0.000 0.028 0.548
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.0162 0.8940 0.996 0.000 0.000 0.004 0.000
#> D9225689-21E0-478A-8F79-C26542938B8D 5 0.0000 0.7858 0.000 0.000 0.000 0.000 1.000
#> FC3BA46D-57F6-424C-8D62-16C441035969 5 0.0000 0.7858 0.000 0.000 0.000 0.000 1.000
#> 045CFFE6-4736-42F2-9340-C37690E47882 3 0.0000 0.9997 0.000 0.000 1.000 0.000 0.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 1 0.5947 0.3639 0.484 0.420 0.000 0.004 0.092
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 5 0.4933 0.3010 0.076 0.236 0.000 0.000 0.688
#> E94B217F-C5DC-4F42-8135-E81F338914B5 5 0.0000 0.7858 0.000 0.000 0.000 0.000 1.000
#> AE4C3956-76DF-4059-8D69-3D764F31817F 5 0.0000 0.7858 0.000 0.000 0.000 0.000 1.000
#> 33D6A38E-CD99-437B-99E0-04E72582F777 5 0.4268 0.1685 0.000 0.000 0.000 0.444 0.556
#> 8379051C-5847-42B5-AC5C-A128C166AB97 4 0.0162 0.8155 0.000 0.000 0.000 0.996 0.004
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 4 0.1478 0.7714 0.000 0.000 0.000 0.936 0.064
#> 40A16429-229E-4F40-BFC7-263554438F99 5 0.0000 0.7858 0.000 0.000 0.000 0.000 1.000
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 5 0.0000 0.7858 0.000 0.000 0.000 0.000 1.000
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 5 0.0000 0.7858 0.000 0.000 0.000 0.000 1.000
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 1 0.0162 0.8940 0.996 0.000 0.000 0.004 0.000
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 4 0.0000 0.8168 0.000 0.000 0.000 1.000 0.000
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.4375 0.6175 0.004 0.576 0.000 0.000 0.420
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 4 0.0992 0.8045 0.008 0.024 0.000 0.968 0.000
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 5 0.6142 -0.4436 0.000 0.396 0.000 0.132 0.472
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 5 0.1410 0.7297 0.000 0.060 0.000 0.000 0.940
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.4300 0.5533 0.000 0.524 0.000 0.000 0.476
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 5 0.0000 0.7858 0.000 0.000 0.000 0.000 1.000
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 4 0.0000 0.8168 0.000 0.000 0.000 1.000 0.000
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 2 0.5919 0.3883 0.316 0.568 0.000 0.004 0.112
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 5 0.4161 0.2774 0.000 0.000 0.000 0.392 0.608
#> FDB47AC4-CE6A-428B-9B55-EBCEF1970ACB 5 0.0000 0.7858 0.000 0.000 0.000 0.000 1.000
#> 133B7E7B-FD50-48A2-9A35-E6D44FAB976B 5 0.0671 0.7774 0.004 0.016 0.000 0.000 0.980
#> E69E45DA-66A6-438A-9BFC-5F1F7F5C5A87 4 0.4227 0.0491 0.000 0.000 0.000 0.580 0.420
#> 6E242DF5-8B8B-4C6F-870E-C7ADFFAFDF3E 5 0.0703 0.7752 0.000 0.000 0.000 0.024 0.976
#> CB7BBFF1-4BF3-42A9-85C6-680D91503799 4 0.0000 0.8168 0.000 0.000 0.000 1.000 0.000
#> 70AA4670-C75B-4E39-8958-3F9C29811871 5 0.0000 0.7858 0.000 0.000 0.000 0.000 1.000
#> D63C5178-4FF7-4FD0-B87E-6CBF6E7BEF5B 2 0.4306 0.5222 0.000 0.508 0.000 0.000 0.492
#> 814391F8-C5B9-43F6-A330-A6749BB8F16E 5 0.0865 0.7742 0.004 0.000 0.000 0.024 0.972
#> 146ED7EA-BF3C-4BAB-B33C-0A668AB13C80 4 0.0000 0.8168 0.000 0.000 0.000 1.000 0.000
#> FD5CAFE8-E669-406A-A505-A47DCDC32E93 5 0.1965 0.7172 0.000 0.000 0.000 0.096 0.904
#> 4B3C7910-A652-45B5-8218-9002EB0FD9EB 5 0.0000 0.7858 0.000 0.000 0.000 0.000 1.000
#> E410F77D-E31F-4D73-ACAC-9245935A92F5 1 0.5478 0.4020 0.516 0.420 0.000 0.000 0.064
#> 64336403-9037-480C-873A-67BC77119FA5 5 0.4138 -0.1130 0.000 0.384 0.000 0.000 0.616
#> 6F9D5013-3B1B-41EE-85DB-E51F5D828DEF 5 0.0000 0.7858 0.000 0.000 0.000 0.000 1.000
#> 155AEBBD-1C12-4F88-90C7-1C7FF7E3FB2C 5 0.0703 0.7752 0.000 0.000 0.000 0.024 0.976
#> D28DDCAA-682C-451F-8327-D2C2AFB044E2 5 0.0000 0.7858 0.000 0.000 0.000 0.000 1.000
#> 171523DC-2713-4EBF-A115-53A0BA174545 3 0.0000 0.9997 0.000 0.000 1.000 0.000 0.000
#> FD223304-87BA-4462-A5E5-01AB8C018C35 1 0.4383 0.2192 0.572 0.000 0.000 0.424 0.004
#> D8E06D8A-9063-4466-A3B0-7724F4737C7A 5 0.0000 0.7858 0.000 0.000 0.000 0.000 1.000
#> FFA5FFF7-6301-4CD8-8E63-A4D8294D1B0E 5 0.4182 0.4002 0.000 0.400 0.000 0.000 0.600
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#> 2CE7477C-DD09-4B3A-AD65-C696BE8C9B11 1 0.0324 0.8937 0.992 0.004 0.000 0.004 0.000
#> 4DECB19A-290F-4CEB-BE25-AAF9B9E2B58F 1 0.0290 0.8921 0.992 0.008 0.000 0.000 0.000
#> 3DEA9B14-DF42-43A0-AC4A-32AE7A16218D 5 0.4375 0.3775 0.004 0.420 0.000 0.000 0.576
#> 9F57D45B-C62F-44C5-AB9D-0CB54BBA16F5 5 0.0000 0.7858 0.000 0.000 0.000 0.000 1.000
#> 54ACCFD9-A8D6-4E4C-9097-1A0BE258AA1B 1 0.1270 0.8660 0.948 0.052 0.000 0.000 0.000
#> 9EE67DE9-9B56-4773-8F6A-1036D31F568E 4 0.3398 0.5696 0.004 0.000 0.000 0.780 0.216
#> 1B1C9301-D6D6-4F6B-80A3-3603013AA951 5 0.0000 0.7858 0.000 0.000 0.000 0.000 1.000
#> DDDCDF00-FB0A-477B-891B-2EE5E0C8F61E 3 0.0000 0.9997 0.000 0.000 1.000 0.000 0.000
#> 34A3260D-AC4D-416F-ADF0-24013048BC46 5 0.6336 -0.0923 0.340 0.172 0.000 0.000 0.488
#> 671C1840-9C1B-4AC1-9564-78802489F763 1 0.0162 0.8940 0.996 0.000 0.000 0.004 0.000
#> BA4F7841-9FC3-4CE6-ACA5-43FC36641640 2 0.4808 0.2358 0.000 0.576 0.000 0.400 0.024
#> 24A02CE5-28E7-457E-8B90-4EACA528B072 1 0.0290 0.8921 0.992 0.008 0.000 0.000 0.000
#> C7008665-F6DE-48B4-A0E7-6C388B72C609 5 0.4171 -0.1461 0.000 0.396 0.000 0.000 0.604
#> 50F984AB-95C1-4D7B-A787-418CBB59D165 4 0.0404 0.8143 0.012 0.000 0.000 0.988 0.000
#> 5FFD2A6A-ED8A-44A9-9FC1-3106341C284A 5 0.0000 0.7858 0.000 0.000 0.000 0.000 1.000
#> 7481630E-5CBA-4A4A-A16F-E327BCEE11D3 1 0.0162 0.8940 0.996 0.000 0.000 0.004 0.000
#> 7B3E6643-C148-4266-A3A3-80BAB713DD3E 5 0.1965 0.6907 0.000 0.096 0.000 0.000 0.904
#> BA8564FA-8D4D-4B2F-A178-63209F887A05 1 0.4088 0.3950 0.632 0.368 0.000 0.000 0.000
#> 2FB578F6-E8B7-434D-9720-D448A26C1EFD 1 0.0324 0.8937 0.992 0.004 0.000 0.004 0.000
#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 2 0.4415 0.0845 0.444 0.552 0.000 0.000 0.004
#> 740FCE46-8A4A-4A6A-B79F-78A63D28E313 5 0.0000 0.7858 0.000 0.000 0.000 0.000 1.000
#> 523A5832-0C42-44A4-A58F-7011C3A567DC 3 0.0000 0.9997 0.000 0.000 1.000 0.000 0.000
#> A2C68C81-7371-4E0C-BFD1-EA868A7C9499 2 0.4227 0.6186 0.000 0.580 0.000 0.000 0.420
#> 2EB7025A-D932-4238-BD60-609B25150029 5 0.4227 0.3802 0.000 0.420 0.000 0.000 0.580
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 5 0.0000 0.7858 0.000 0.000 0.000 0.000 1.000
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 5 0.3333 0.5098 0.004 0.208 0.000 0.000 0.788
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 5 0.4264 -0.1130 0.000 0.376 0.000 0.004 0.620
#> F081EA01-ED14-491B-9620-BF8F10A7431D 5 0.0000 0.7858 0.000 0.000 0.000 0.000 1.000
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 5 0.4449 -0.4427 0.004 0.484 0.000 0.000 0.512
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 5 0.4268 0.1685 0.000 0.000 0.000 0.444 0.556
#> B54639CE-F721-4908-B758-309F148AD3C2 5 0.0000 0.7858 0.000 0.000 0.000 0.000 1.000
#> EB4294E1-3FBC-495C-A041-829A654B59C5 3 0.0000 0.9997 0.000 0.000 1.000 0.000 0.000
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 1 0.0290 0.8921 0.992 0.008 0.000 0.000 0.000
#> EBF3DBA0-0986-4593-BB30-174F2974E918 5 0.3857 0.1602 0.000 0.312 0.000 0.000 0.688
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 2 0.4249 0.0941 0.432 0.568 0.000 0.000 0.000
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 5 0.2732 0.5907 0.000 0.160 0.000 0.000 0.840
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 1 0.0671 0.8889 0.980 0.016 0.000 0.004 0.000
#> D34036E4-1122-42AE-B20F-F4C8515872A0 5 0.0162 0.7838 0.000 0.004 0.000 0.000 0.996
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 5 0.4074 -0.1043 0.000 0.364 0.000 0.000 0.636
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 4 0.0703 0.8075 0.024 0.000 0.000 0.976 0.000
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 3 0.0000 0.9997 0.000 0.000 1.000 0.000 0.000
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.4242 0.6141 0.000 0.572 0.000 0.000 0.428
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.4297 0.5589 0.000 0.528 0.000 0.000 0.472
#> F3C13430-405E-432E-8F3E-0DD18E86087E 5 0.5046 0.3807 0.140 0.156 0.000 0.000 0.704
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.4297 0.5581 0.000 0.528 0.000 0.000 0.472
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 1 0.0162 0.8940 0.996 0.000 0.000 0.004 0.000
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.4242 0.6140 0.000 0.572 0.000 0.000 0.428
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 5 0.4575 0.0568 0.000 0.328 0.000 0.024 0.648
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 1 0.3132 0.7332 0.820 0.008 0.000 0.172 0.000
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.4227 0.6186 0.000 0.580 0.000 0.000 0.420
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.0404 0.8918 0.988 0.012 0.000 0.000 0.000
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 4 0.4848 0.4000 0.024 0.420 0.000 0.556 0.000
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 1 0.0162 0.8940 0.996 0.000 0.000 0.004 0.000
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 5 0.0000 0.7858 0.000 0.000 0.000 0.000 1.000
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.0000 0.9997 0.000 0.000 1.000 0.000 0.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.0000 0.9997 0.000 0.000 1.000 0.000 0.000
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 2 0.4410 -0.2076 0.004 0.556 0.000 0.000 0.440
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 5 0.4497 0.1847 0.008 0.000 0.000 0.424 0.568
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.5714 0.6084 0.000 0.580 0.000 0.108 0.312
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 4 0.0000 0.8168 0.000 0.000 0.000 1.000 0.000
#> 343F031B-0095-429D-8212-AD0581DBB05B 4 0.0000 0.8168 0.000 0.000 0.000 1.000 0.000
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 5 0.0162 0.7842 0.004 0.000 0.000 0.000 0.996
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.2074 0.8525 0.920 0.044 0.000 0.036 0.000
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 5 0.2915 0.6452 0.000 0.116 0.000 0.024 0.860
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 5 0.0162 0.7842 0.004 0.000 0.000 0.000 0.996
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 2 0.4375 0.1826 0.004 0.576 0.000 0.420 0.000
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.5297 0.2103 0.360 0.580 0.000 0.060 0.000
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 5 0.0000 0.7858 0.000 0.000 0.000 0.000 1.000
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 5 0.4380 0.3326 0.000 0.260 0.000 0.032 0.708
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.0000 0.9997 0.000 0.000 1.000 0.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.0162 0.8940 0.996 0.000 0.000 0.004 0.000
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.0000 0.9997 0.000 0.000 1.000 0.000 0.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 4 0.2753 0.6606 0.008 0.000 0.000 0.856 0.136
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.0000 0.9997 0.000 0.000 1.000 0.000 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.4302 0.5452 0.000 0.520 0.000 0.000 0.480
#> FC7821F4-6495-4545-A22A-764BB99B3F79 2 0.4227 0.1241 0.420 0.580 0.000 0.000 0.000
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 5 0.0000 0.7858 0.000 0.000 0.000 0.000 1.000
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 5 0.4219 0.2180 0.000 0.000 0.000 0.416 0.584
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 5 0.0000 0.7858 0.000 0.000 0.000 0.000 1.000
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.4297 0.5589 0.000 0.528 0.000 0.000 0.472
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 2 0.3913 -0.1699 0.324 0.676 0.000 0.000 0.000
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 4 0.1357 0.7828 0.004 0.000 0.000 0.948 0.048
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 5 0.3949 0.0875 0.000 0.332 0.000 0.000 0.668
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0000 0.9997 0.000 0.000 1.000 0.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 2 0.6513 -0.1971 0.164 0.420 0.000 0.004 0.412
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.4902 0.2257 0.000 0.564 0.000 0.408 0.028
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 4 0.0963 0.8018 0.036 0.000 0.000 0.964 0.000
#> BEE081CA-8420-4314-88A0-286BB30FFD65 5 0.1638 0.7343 0.004 0.000 0.000 0.064 0.932
#> C464CD1D-4519-48E8-A18A-403F691E5702 1 0.0162 0.8940 0.996 0.000 0.000 0.004 0.000
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.0162 0.8940 0.996 0.000 0.000 0.004 0.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 5 0.0162 0.7842 0.004 0.000 0.000 0.000 0.996
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.4235 0.6169 0.000 0.576 0.000 0.000 0.424
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.0486 0.8926 0.988 0.004 0.000 0.004 0.004
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.0290 0.8921 0.992 0.008 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
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.3722 0.5519 0.004 0.724 0.000 0.260 0.008 0.004
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 5 0.4594 0.3756 0.000 0.000 0.000 0.340 0.608 0.052
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 6 0.2838 0.7742 0.000 0.004 0.000 0.000 0.188 0.808
#> 91202998-760F-4421-B1C4-18639962EDDA 4 0.0146 0.7793 0.000 0.000 0.000 0.996 0.000 0.004
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.5029 0.7308 0.000 0.680 0.000 0.080 0.208 0.032
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 5 0.0000 0.8360 0.000 0.000 0.000 0.000 1.000 0.000
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 4 0.5547 0.2828 0.000 0.000 0.000 0.516 0.332 0.152
#> 54337CE9-6F12-4712-8131-4B83F3216343 5 0.4650 0.5081 0.000 0.212 0.000 0.004 0.688 0.096
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 5 0.0000 0.8360 0.000 0.000 0.000 0.000 1.000 0.000
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 5 0.0000 0.8360 0.000 0.000 0.000 0.000 1.000 0.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 4 0.1714 0.7780 0.000 0.000 0.000 0.908 0.000 0.092
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.0260 0.9854 0.000 0.000 0.992 0.000 0.008 0.000
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 6 0.2823 0.7686 0.000 0.000 0.000 0.000 0.204 0.796
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 1 0.0146 0.8880 0.996 0.000 0.000 0.000 0.004 0.000
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0000 0.9996 0.000 0.000 1.000 0.000 0.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.3907 0.7606 0.000 0.704 0.000 0.000 0.268 0.028
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.0000 0.8900 1.000 0.000 0.000 0.000 0.000 0.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 4 0.7495 0.0360 0.000 0.284 0.000 0.332 0.244 0.140
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 5 0.2442 0.7589 0.000 0.000 0.000 0.004 0.852 0.144
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.0000 0.8900 1.000 0.000 0.000 0.000 0.000 0.000
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.3693 0.5326 0.000 0.708 0.000 0.280 0.008 0.004
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 6 0.2871 0.7742 0.000 0.004 0.000 0.000 0.192 0.804
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 1 0.0777 0.8783 0.972 0.004 0.000 0.000 0.000 0.024
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 4 0.4745 0.5309 0.000 0.268 0.000 0.644 0.000 0.088
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 5 0.0000 0.8360 0.000 0.000 0.000 0.000 1.000 0.000
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 6 0.2793 0.7713 0.000 0.000 0.000 0.000 0.200 0.800
#> 1139D935-739E-4C42-BFCB-06021A85932E 6 0.3213 0.6746 0.000 0.160 0.000 0.000 0.032 0.808
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.4446 0.5634 0.000 0.688 0.000 0.256 0.044 0.012
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.0000 0.9996 0.000 0.000 1.000 0.000 0.000 0.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 5 0.0000 0.8360 0.000 0.000 0.000 0.000 1.000 0.000
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 5 0.3343 0.7302 0.000 0.004 0.000 0.040 0.812 0.144
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 5 0.3163 0.5846 0.000 0.004 0.000 0.232 0.764 0.000
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 5 0.0146 0.8353 0.000 0.000 0.000 0.000 0.996 0.004
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 5 0.0865 0.8187 0.000 0.036 0.000 0.000 0.964 0.000
#> 2846A3AC-D102-4E37-9B72-139ED727157A 5 0.0000 0.8360 0.000 0.000 0.000 0.000 1.000 0.000
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.3978 0.7598 0.000 0.700 0.000 0.000 0.268 0.032
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 4 0.0146 0.7793 0.000 0.000 0.000 0.996 0.000 0.004
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.2003 0.7956 0.884 0.000 0.000 0.116 0.000 0.000
#> 150F5B77-4848-4D68-800A-0A0236C3661F 5 0.1141 0.8218 0.000 0.000 0.000 0.000 0.948 0.052
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.0146 0.8892 0.996 0.000 0.000 0.000 0.000 0.004
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 5 0.0000 0.8360 0.000 0.000 0.000 0.000 1.000 0.000
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.3446 0.7463 0.000 0.692 0.000 0.000 0.308 0.000
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 4 0.5065 0.3777 0.340 0.000 0.000 0.568 0.000 0.092
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 5 0.0000 0.8360 0.000 0.000 0.000 0.000 1.000 0.000
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.4885 0.6019 0.024 0.576 0.000 0.000 0.372 0.028
#> 1447B543-D3AC-41B5-878F-B382FE49421B 1 0.4900 0.3936 0.604 0.040 0.000 0.336 0.000 0.020
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 1 0.1720 0.8480 0.928 0.040 0.000 0.000 0.000 0.032
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 5 0.4583 0.3898 0.000 0.008 0.000 0.336 0.620 0.036
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.0000 0.9996 0.000 0.000 1.000 0.000 0.000 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 5 0.4648 0.3726 0.000 0.000 0.000 0.340 0.604 0.056
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 6 0.1728 0.6969 0.000 0.004 0.000 0.008 0.064 0.924
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.0000 0.8900 1.000 0.000 0.000 0.000 0.000 0.000
#> D9225689-21E0-478A-8F79-C26542938B8D 5 0.0000 0.8360 0.000 0.000 0.000 0.000 1.000 0.000
#> FC3BA46D-57F6-424C-8D62-16C441035969 5 0.0000 0.8360 0.000 0.000 0.000 0.000 1.000 0.000
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#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 6 0.3803 0.7220 0.060 0.000 0.000 0.100 0.032 0.808
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.4582 0.5381 0.000 0.672 0.000 0.272 0.032 0.024
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 4 0.2509 0.7661 0.036 0.000 0.000 0.876 0.000 0.088
#> BEE081CA-8420-4314-88A0-286BB30FFD65 5 0.1204 0.8077 0.000 0.000 0.000 0.056 0.944 0.000
#> C464CD1D-4519-48E8-A18A-403F691E5702 1 0.0146 0.8892 0.996 0.000 0.000 0.000 0.000 0.004
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.0000 0.8900 1.000 0.000 0.000 0.000 0.000 0.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 5 0.0713 0.8256 0.000 0.000 0.000 0.000 0.972 0.028
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.3266 0.7669 0.000 0.728 0.000 0.000 0.272 0.000
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.0146 0.8880 0.996 0.000 0.000 0.000 0.004 0.000
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.0146 0.8889 0.996 0.004 0.000 0.000 0.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["SD", "mclust"]
# you can also extract it by
# res = res_list["SD:mclust"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#> On a matrix with 17109 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'SD' method.
#> Subgroups are detected by 'mclust' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.982 0.991 0.1670 0.842 0.842
#> 3 3 0.292 0.596 0.802 2.2499 0.588 0.512
#> 4 4 0.348 0.381 0.655 0.2009 0.732 0.471
#> 5 5 0.398 0.311 0.615 0.1153 0.778 0.424
#> 6 6 0.378 0.463 0.688 0.0229 0.784 0.366
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
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.0000 0.992 0.000 1.000
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 2 0.0000 0.992 0.000 1.000
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 2 0.0000 0.992 0.000 1.000
#> 91202998-760F-4421-B1C4-18639962EDDA 2 0.3879 0.927 0.076 0.924
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.0000 0.992 0.000 1.000
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 2 0.0000 0.992 0.000 1.000
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 2 0.0000 0.992 0.000 1.000
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.0000 0.992 0.000 1.000
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.0000 0.992 0.000 1.000
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.0000 0.992 0.000 1.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 2 0.0000 0.992 0.000 1.000
#> 784B2359-6064-4FAA-9311-7A852F061FBB 1 0.8016 0.675 0.756 0.244
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 2 0.0000 0.992 0.000 1.000
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 2 0.0000 0.992 0.000 1.000
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 1 0.0000 0.983 1.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.0000 0.992 0.000 1.000
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 2 0.0000 0.992 0.000 1.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 2 0.0000 0.992 0.000 1.000
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 2 0.0000 0.992 0.000 1.000
#> A08E2707-DDB0-40FE-828F-14720768FB05 2 0.0000 0.992 0.000 1.000
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.0000 0.992 0.000 1.000
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.0000 0.992 0.000 1.000
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 2 0.0000 0.992 0.000 1.000
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 2 0.3879 0.927 0.076 0.924
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.0000 0.992 0.000 1.000
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 2 0.0000 0.992 0.000 1.000
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.0000 0.992 0.000 1.000
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.0000 0.992 0.000 1.000
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 1 0.0000 0.983 1.000 0.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.0000 0.992 0.000 1.000
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 2 0.0000 0.992 0.000 1.000
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 2 0.0000 0.992 0.000 1.000
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.0000 0.992 0.000 1.000
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.0000 0.992 0.000 1.000
#> 2846A3AC-D102-4E37-9B72-139ED727157A 2 0.0000 0.992 0.000 1.000
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.0000 0.992 0.000 1.000
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 2 0.3879 0.927 0.076 0.924
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 2 0.0000 0.992 0.000 1.000
#> 150F5B77-4848-4D68-800A-0A0236C3661F 2 0.0000 0.992 0.000 1.000
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 2 0.0000 0.992 0.000 1.000
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.0000 0.992 0.000 1.000
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.0000 0.992 0.000 1.000
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 2 0.3879 0.927 0.076 0.924
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 2 0.0000 0.992 0.000 1.000
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.0000 0.992 0.000 1.000
#> 1447B543-D3AC-41B5-878F-B382FE49421B 2 0.0000 0.992 0.000 1.000
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 2 0.0000 0.992 0.000 1.000
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 2 0.0000 0.992 0.000 1.000
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 1 0.0000 0.983 1.000 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 2 0.0000 0.992 0.000 1.000
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 2 0.0000 0.992 0.000 1.000
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 2 0.0000 0.992 0.000 1.000
#> D9225689-21E0-478A-8F79-C26542938B8D 2 0.0000 0.992 0.000 1.000
#> FC3BA46D-57F6-424C-8D62-16C441035969 2 0.0000 0.992 0.000 1.000
#> 045CFFE6-4736-42F2-9340-C37690E47882 1 0.0000 0.983 1.000 0.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 2 0.0000 0.992 0.000 1.000
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 2 0.0000 0.992 0.000 1.000
#> E94B217F-C5DC-4F42-8135-E81F338914B5 2 0.0000 0.992 0.000 1.000
#> AE4C3956-76DF-4059-8D69-3D764F31817F 2 0.0000 0.992 0.000 1.000
#> 33D6A38E-CD99-437B-99E0-04E72582F777 2 0.0000 0.992 0.000 1.000
#> 8379051C-5847-42B5-AC5C-A128C166AB97 2 0.3584 0.934 0.068 0.932
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 2 0.0000 0.992 0.000 1.000
#> 40A16429-229E-4F40-BFC7-263554438F99 2 0.0000 0.992 0.000 1.000
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 2 0.0000 0.992 0.000 1.000
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 2 0.0000 0.992 0.000 1.000
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 2 0.0000 0.992 0.000 1.000
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 2 0.3879 0.927 0.076 0.924
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.0000 0.992 0.000 1.000
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 2 0.3733 0.931 0.072 0.928
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 2 0.2236 0.963 0.036 0.964
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 2 0.0000 0.992 0.000 1.000
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.0000 0.992 0.000 1.000
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 2 0.0000 0.992 0.000 1.000
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 2 0.3733 0.931 0.072 0.928
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 2 0.0000 0.992 0.000 1.000
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 2 0.0000 0.992 0.000 1.000
#> FDB47AC4-CE6A-428B-9B55-EBCEF1970ACB 2 0.0000 0.992 0.000 1.000
#> 133B7E7B-FD50-48A2-9A35-E6D44FAB976B 2 0.0000 0.992 0.000 1.000
#> E69E45DA-66A6-438A-9BFC-5F1F7F5C5A87 2 0.1414 0.976 0.020 0.980
#> 6E242DF5-8B8B-4C6F-870E-C7ADFFAFDF3E 2 0.0000 0.992 0.000 1.000
#> CB7BBFF1-4BF3-42A9-85C6-680D91503799 2 0.3879 0.927 0.076 0.924
#> 70AA4670-C75B-4E39-8958-3F9C29811871 2 0.0000 0.992 0.000 1.000
#> D63C5178-4FF7-4FD0-B87E-6CBF6E7BEF5B 2 0.0000 0.992 0.000 1.000
#> 814391F8-C5B9-43F6-A330-A6749BB8F16E 2 0.0000 0.992 0.000 1.000
#> 146ED7EA-BF3C-4BAB-B33C-0A668AB13C80 2 0.3879 0.927 0.076 0.924
#> FD5CAFE8-E669-406A-A505-A47DCDC32E93 2 0.0000 0.992 0.000 1.000
#> 4B3C7910-A652-45B5-8218-9002EB0FD9EB 2 0.0000 0.992 0.000 1.000
#> E410F77D-E31F-4D73-ACAC-9245935A92F5 2 0.0000 0.992 0.000 1.000
#> 64336403-9037-480C-873A-67BC77119FA5 2 0.0000 0.992 0.000 1.000
#> 6F9D5013-3B1B-41EE-85DB-E51F5D828DEF 2 0.0000 0.992 0.000 1.000
#> 155AEBBD-1C12-4F88-90C7-1C7FF7E3FB2C 2 0.0938 0.982 0.012 0.988
#> D28DDCAA-682C-451F-8327-D2C2AFB044E2 2 0.0000 0.992 0.000 1.000
#> 171523DC-2713-4EBF-A115-53A0BA174545 1 0.0000 0.983 1.000 0.000
#> FD223304-87BA-4462-A5E5-01AB8C018C35 2 0.0000 0.992 0.000 1.000
#> D8E06D8A-9063-4466-A3B0-7724F4737C7A 2 0.0000 0.992 0.000 1.000
#> FFA5FFF7-6301-4CD8-8E63-A4D8294D1B0E 2 0.0000 0.992 0.000 1.000
#> AF3648D6-C774-48CC-9428-ADC00402A562 1 0.0000 0.983 1.000 0.000
#> BD406B65-B715-444E-95B4-F38D05BAC863 2 0.2948 0.949 0.052 0.948
#> 6DB67CA1-0BEB-4585-9867-40E7C8A96D55 2 0.0000 0.992 0.000 1.000
#> 49C9DE1D-784D-405A-9DD3-C4D2890D0309 2 0.0000 0.992 0.000 1.000
#> 05EC4D30-D34E-4497-B4F4-80AEDC2E70DF 2 0.0000 0.992 0.000 1.000
#> CB69E76B-7CD3-49EF-9ADF-75701FE1D0A8 2 0.1843 0.970 0.028 0.972
#> 103C6E25-A69A-460E-81C0-7437547E1334 2 0.0000 0.992 0.000 1.000
#> 2D986DB0-B5A8-42E8-ACB8-926A16FAABD6 2 0.0000 0.992 0.000 1.000
#> 1B9A0F24-8A3F-4693-B09C-5F0EFE5A32A5 2 0.0000 0.992 0.000 1.000
#> C064D1FE-753E-4493-907C-C5FFE19F9875 2 0.0000 0.992 0.000 1.000
#> 71596860-AEFA-4B94-8ADE-AC33CEA24DD4 2 0.0000 0.992 0.000 1.000
#> E9A3A454-AB4D-4683-B276-84DA43792DBB 2 0.3879 0.927 0.076 0.924
#> C5717869-8413-4810-A042-32E949AD3B0A 2 0.3879 0.927 0.076 0.924
#> F36B393E-859C-49F8-BDF4-ED2CEF4C6307 2 0.0000 0.992 0.000 1.000
#> 4CC9D3F9-983F-4CB2-91F1-0FBB86D53DC3 2 0.0000 0.992 0.000 1.000
#> D450F074-CA68-49CE-B0B3-F81A91D54867 2 0.0000 0.992 0.000 1.000
#> 2BBD504E-FE90-4142-9204-0E33B6B56C7E 2 0.0000 0.992 0.000 1.000
#> 1A457CBF-24DA-44F1-B9ED-F26B8D1245D4 2 0.0000 0.992 0.000 1.000
#> F29B5A39-866E-4C9D-BC26-B726FEA5F576 2 0.0000 0.992 0.000 1.000
#> 89A4972A-8C91-4272-96BE-BCA9BC447780 2 0.0000 0.992 0.000 1.000
#> 70B014FD-A0D0-418C-B55F-D09BAE213D52 2 0.0000 0.992 0.000 1.000
#> 8139F417-0548-40B4-851F-A4E149A2E06A 2 0.0000 0.992 0.000 1.000
#> 6E9F0021-FA91-4516-9B04-6A978034CECF 2 0.0000 0.992 0.000 1.000
#> 49DAF1CD-8E20-433B-91A7-8C885ACB21A5 2 0.0000 0.992 0.000 1.000
#> 093765A6-145C-47C3-B87B-4560CD632B4C 2 0.0000 0.992 0.000 1.000
#> 90731001-45B2-4601-93F5-064BDD519A30 1 0.0000 0.983 1.000 0.000
#> 40BCB65D-BC26-4FEF-941F-6F4A42D475EB 2 0.0000 0.992 0.000 1.000
#> 204317C4-B927-4CAC-AADF-E16D19410ADB 2 0.0000 0.992 0.000 1.000
#> 1023707A-D6DE-432A-AD2D-2318C3F91FA2 2 0.0000 0.992 0.000 1.000
#> 06F79E8E-50E3-485A-82E9-C7CD4C72333B 2 0.0000 0.992 0.000 1.000
#> BFAF5464-D239-4A03-AC34-984DEBA84451 2 0.0000 0.992 0.000 1.000
#> 96C7C73E-F3E1-4937-A267-B7DAAD8EDE37 2 0.1843 0.970 0.028 0.972
#> 1D94B33B-9A3F-40BA-90AF-5248ED058C6F 2 0.0000 0.992 0.000 1.000
#> 3407B68D-0277-465B-8819-10FAE3EE6572 1 0.0000 0.983 1.000 0.000
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#> A1633922-3B64-4182-822B-D3F75C32CA20 2 0.0000 0.992 0.000 1.000
#> 6E9A7076-D632-461D-91F7-51C2A8F9883A 2 0.2948 0.949 0.052 0.948
#> 452B3345-8995-4D2D-B496-148CC6814CCD 2 0.0000 0.992 0.000 1.000
#> 651DBB44-01C7-4A53-AFB7-A613F1F1D85B 2 0.0000 0.992 0.000 1.000
#> 7FFAB1D0-E2C5-48CE-9496-B23C151B9139 2 0.0000 0.992 0.000 1.000
#> 1C4BA6E2-6908-46B5-865B-2B992290CEEB 2 0.0000 0.992 0.000 1.000
#> B72D6269-48C8-4B73-9372-0197194F8768 2 0.1633 0.973 0.024 0.976
#> 6D9C09A7-DE9B-4ABB-B67F-979D80D2A880 2 0.0000 0.992 0.000 1.000
#> E71899A2-CA7C-4C49-83D3-E05A2A5DC82D 2 0.0000 0.992 0.000 1.000
#> 20AE7513-EF62-4519-BE9B-B4E9F270C55A 2 0.0000 0.992 0.000 1.000
#> 55F371E4-F7E9-45C2-A053-F9C8A0397F0C 1 0.0000 0.983 1.000 0.000
#> 2EEE83B8-5A32-457E-8405-21B70A07280B 2 0.0000 0.992 0.000 1.000
#> 3D66774D-66E5-4B18-85FF-77A179563B88 2 0.0000 0.992 0.000 1.000
#> 58D1339C-B607-496B-AE85-5ECCD43636AD 2 0.0000 0.992 0.000 1.000
#> B247508D-7C3B-45BF-929D-FFE756EDEF24 2 0.0000 0.992 0.000 1.000
#> 43456F55-F4A1-4D9F-8571-ED3542C69416 2 0.0000 0.992 0.000 1.000
#> 099D25C9-DAB1-4968-A07A-EF0856000694 2 0.0000 0.992 0.000 1.000
#> EAD49D17-A396-41C2-AD5F-3E65EA19306B 2 0.0000 0.992 0.000 1.000
#> 7D1F6CE8-FA36-477A-9313-E3799C5886AD 2 0.0000 0.992 0.000 1.000
#> C2C2EA55-75D8-48B0-8E39-73CC523CA691 2 0.0000 0.992 0.000 1.000
#> 218F1728-2967-447E-9BDD-F78E21265395 2 0.0000 0.992 0.000 1.000
#> 658AA411-6DEB-46C9-B4D7-7175F7EC1620 2 0.3879 0.927 0.076 0.924
#> EE0CCBE4-DF69-40F7-91B1-B7E7AC061C5B 1 0.0000 0.983 1.000 0.000
#> 4FA18EA8-F6EA-40EE-847E-2896BD858C04 2 0.0000 0.992 0.000 1.000
#> 05A6B3A7-2A08-4700-BC85-9968AD07D2F6 2 0.0000 0.992 0.000 1.000
#> 5F220E8D-9FF6-43E5-A27D-DA4FC75536E1 2 0.0000 0.992 0.000 1.000
#> 3D3EA6CC-35F0-416E-9FC8-394D005A2B0B 1 0.0000 0.983 1.000 0.000
#> B5B13A86-3B16-43AD-B329-2C5AD46A308F 2 0.0000 0.992 0.000 1.000
#> 2EBC7BE8-627B-4767-A4FE-14E933E40C1C 2 0.0376 0.988 0.004 0.996
#> E332A10A-4FB0-4122-BB48-3050E0F73502 2 0.0000 0.992 0.000 1.000
#> 0FF95060-00C3-4B53-B46F-6242872C1465 2 0.0000 0.992 0.000 1.000
#> 51875568-DA72-4A62-9A19-2A61860B83C3 2 0.0000 0.992 0.000 1.000
#> C4DB90C8-EB0B-4071-BD4F-EEB37E8ADC26 2 0.0000 0.992 0.000 1.000
#> 55F8E6BA-AF16-4514-8845-1FCACB758812 1 0.0000 0.983 1.000 0.000
#> 7F9B2F13-F387-4A54-920A-62C23D9BFB77 2 0.0000 0.992 0.000 1.000
#> 248E5BD8-0458-43A1-B5D1-BDA14558421F 2 0.0000 0.992 0.000 1.000
#> B150AB08-9BE5-4DBB-AB30-80C09B319E6D 2 0.0000 0.992 0.000 1.000
#> 4DC8E477-9AA6-41F7-A7BB-EEEFAFD33256 2 0.0000 0.992 0.000 1.000
#> 327E0B69-E439-4161-BD58-2E22C5D3A76F 2 0.0000 0.992 0.000 1.000
#> 50F9B130-6BE8-483C-828F-15445492B631 2 0.0000 0.992 0.000 1.000
#> D57E89FF-CC54-4FE9-A99B-2E75D407AB91 2 0.0000 0.992 0.000 1.000
#> 659F3E30-3F80-49AF-9713-824F8D42BA74 2 0.0000 0.992 0.000 1.000
#> 29E8ADB9-3F5D-497A-9A6B-85218AE2DB14 2 0.0000 0.992 0.000 1.000
#> 73B58A54-E759-44FE-8B84-70D60C78066D 2 0.3879 0.927 0.076 0.924
#> 4001EE2D-F208-465E-B718-01CCB9BD1C17 2 0.0000 0.992 0.000 1.000
#> AFE61E30-D425-40CC-BC57-C210A0D03EFE 2 0.0000 0.992 0.000 1.000
#> C06D79D5-4D8A-47D3-97CE-0E9BA204347C 2 0.0000 0.992 0.000 1.000
#> 3975BE32-7E20-4EFC-9122-FE468544C5D9 2 0.0000 0.992 0.000 1.000
#> 0FDC5030-92FC-44B5-AE62-6EC3EA9290BB 1 0.0000 0.983 1.000 0.000
#> 8E3F8687-B00B-4FA9-84F2-F731B169FC45 2 0.0000 0.992 0.000 1.000
#> 45CEDF59-BC7A-4D86-8C2D-9A91AC141D30 2 0.3879 0.927 0.076 0.924
#> 4043BFE7-72A7-4A95-8CB2-53FDD574B7EA 2 0.3879 0.927 0.076 0.924
#> 64D465E7-0DB8-46A1-8BF2-BBF59D23B7EB 2 0.0000 0.992 0.000 1.000
#> 9824DFB4-0A1A-4BA4-B2DC-5348DA3D3AE6 2 0.0000 0.992 0.000 1.000
#> 50ECFB2A-FF9D-4A8A-91CB-3902D3B670A0 2 0.0000 0.992 0.000 1.000
#> 755D805B-B9F4-41D3-ACA7-2BB599C3D529 2 0.0000 0.992 0.000 1.000
#> 0BA34100-8588-47B5-A962-4BD1916645B6 2 0.0376 0.989 0.004 0.996
#> 9CE2E8D4-1AD1-4546-AD5D-D58193F79096 2 0.3879 0.927 0.076 0.924
#> 92D7DB12-B0E0-4072-98FB-34B112E7728D 2 0.0376 0.988 0.004 0.996
#> 79FD2101-0A9A-4EA7-A773-5EA8693138D0 2 0.0000 0.992 0.000 1.000
#> A3A8937A-0B0B-4A68-AE68-81DA9CF7F4FB 2 0.3879 0.927 0.076 0.924
#> 3EB3C0F8-4CBC-41A7-81E4-4D8A565441A7 2 0.3879 0.927 0.076 0.924
#> 77EE3B54-FD7A-4ACF-879C-31667ADCCC5B 2 0.0000 0.992 0.000 1.000
#> 327B2123-6DD8-4263-87DE-EE917E911DD4 2 0.3879 0.927 0.076 0.924
#> 198A6AD0-79CD-40F5-A622-18AFBE78F2D2 2 0.0000 0.992 0.000 1.000
#> EEE29DE1-F88C-4184-B499-5E86E2D252C4 2 0.3584 0.934 0.068 0.932
#> 1E95EA22-BC41-4AAE-AFCC-F9281989A785 2 0.0000 0.992 0.000 1.000
#> CD3AC0E4-88A9-4084-A2BE-AEE722CF6AA3 2 0.0000 0.992 0.000 1.000
#> 8D7FABA2-764D-4795-BB04-D9E69E9792B9 2 0.0000 0.992 0.000 1.000
#> DAC07889-EE06-46E0-B1F1-833ECC0A48A9 2 0.0000 0.992 0.000 1.000
#> E7B555A3-567B-4A44-8225-D269E73FB50B 2 0.0000 0.992 0.000 1.000
#> 3CC95101-C35F-4761-9D41-3C35BD55B37E 2 0.0000 0.992 0.000 1.000
#> F62E5A69-5E81-4B2A-8CC0-F4D6E188B187 2 0.0000 0.992 0.000 1.000
#> C650633B-A369-4657-8693-FDFBF22BD34E 2 0.0000 0.992 0.000 1.000
#> 5E514217-F0DB-49FD-9C5D-EB22628ED297 2 0.0000 0.992 0.000 1.000
#> 6E1DB9BF-06FE-48B1-A2D8-EF2CE7591364 2 0.0000 0.992 0.000 1.000
#> C9581CE3-58B6-45B4-B4B7-15F555FD84A4 2 0.0000 0.992 0.000 1.000
#> F56C26ED-9358-485B-8867-EBA1CAA4E2A7 2 0.0000 0.992 0.000 1.000
#> 45CA3F9E-40EE-43A4-AE57-FE51D4003844 2 0.0000 0.992 0.000 1.000
#> 47EFA063-19C1-4E1F-ACE8-68D9BAD0B995 2 0.0000 0.992 0.000 1.000
#> 8C30EA0F-0DA1-43C7-81AE-DE825A53F114 2 0.4022 0.923 0.080 0.920
#> 2CE7477C-DD09-4B3A-AD65-C696BE8C9B11 2 0.0000 0.992 0.000 1.000
#> 4DECB19A-290F-4CEB-BE25-AAF9B9E2B58F 2 0.0000 0.992 0.000 1.000
#> 3DEA9B14-DF42-43A0-AC4A-32AE7A16218D 2 0.0000 0.992 0.000 1.000
#> 9F57D45B-C62F-44C5-AB9D-0CB54BBA16F5 2 0.0000 0.992 0.000 1.000
#> 54ACCFD9-A8D6-4E4C-9097-1A0BE258AA1B 2 0.0000 0.992 0.000 1.000
#> 9EE67DE9-9B56-4773-8F6A-1036D31F568E 2 0.1414 0.976 0.020 0.980
#> 1B1C9301-D6D6-4F6B-80A3-3603013AA951 2 0.0000 0.992 0.000 1.000
#> DDDCDF00-FB0A-477B-891B-2EE5E0C8F61E 1 0.0000 0.983 1.000 0.000
#> 34A3260D-AC4D-416F-ADF0-24013048BC46 2 0.0000 0.992 0.000 1.000
#> 671C1840-9C1B-4AC1-9564-78802489F763 2 0.0000 0.992 0.000 1.000
#> BA4F7841-9FC3-4CE6-ACA5-43FC36641640 2 0.0000 0.992 0.000 1.000
#> 24A02CE5-28E7-457E-8B90-4EACA528B072 2 0.0000 0.992 0.000 1.000
#> C7008665-F6DE-48B4-A0E7-6C388B72C609 2 0.0000 0.992 0.000 1.000
#> 50F984AB-95C1-4D7B-A787-418CBB59D165 2 0.0000 0.992 0.000 1.000
#> 5FFD2A6A-ED8A-44A9-9FC1-3106341C284A 2 0.0000 0.992 0.000 1.000
#> 7481630E-5CBA-4A4A-A16F-E327BCEE11D3 2 0.0000 0.992 0.000 1.000
#> 7B3E6643-C148-4266-A3A3-80BAB713DD3E 2 0.0000 0.992 0.000 1.000
#> BA8564FA-8D4D-4B2F-A178-63209F887A05 2 0.0000 0.992 0.000 1.000
#> 2FB578F6-E8B7-434D-9720-D448A26C1EFD 2 0.0000 0.992 0.000 1.000
#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 2 0.0000 0.992 0.000 1.000
#> 740FCE46-8A4A-4A6A-B79F-78A63D28E313 2 0.0000 0.992 0.000 1.000
#> 523A5832-0C42-44A4-A58F-7011C3A567DC 1 0.0000 0.983 1.000 0.000
#> A2C68C81-7371-4E0C-BFD1-EA868A7C9499 2 0.0000 0.992 0.000 1.000
#> 2EB7025A-D932-4238-BD60-609B25150029 2 0.0000 0.992 0.000 1.000
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 2 0.0000 0.992 0.000 1.000
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 2 0.0000 0.992 0.000 1.000
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 2 0.0000 0.992 0.000 1.000
#> F081EA01-ED14-491B-9620-BF8F10A7431D 2 0.0000 0.992 0.000 1.000
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 2 0.0000 0.992 0.000 1.000
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 2 0.0000 0.992 0.000 1.000
#> B54639CE-F721-4908-B758-309F148AD3C2 2 0.0000 0.992 0.000 1.000
#> EB4294E1-3FBC-495C-A041-829A654B59C5 1 0.0000 0.983 1.000 0.000
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 2 0.0000 0.992 0.000 1.000
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.0000 0.992 0.000 1.000
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 2 0.0000 0.992 0.000 1.000
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.0000 0.992 0.000 1.000
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 2 0.0000 0.992 0.000 1.000
#> D34036E4-1122-42AE-B20F-F4C8515872A0 2 0.0000 0.992 0.000 1.000
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 2 0.0000 0.992 0.000 1.000
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 2 0.1633 0.973 0.024 0.976
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 1 0.0000 0.983 1.000 0.000
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.0000 0.992 0.000 1.000
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.0000 0.992 0.000 1.000
#> F3C13430-405E-432E-8F3E-0DD18E86087E 2 0.0000 0.992 0.000 1.000
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.0000 0.992 0.000 1.000
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 2 0.0000 0.992 0.000 1.000
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.0000 0.992 0.000 1.000
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.0000 0.992 0.000 1.000
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 2 0.0000 0.992 0.000 1.000
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.0000 0.992 0.000 1.000
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 2 0.0000 0.992 0.000 1.000
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 2 0.0938 0.983 0.012 0.988
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 2 0.0000 0.992 0.000 1.000
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.0000 0.992 0.000 1.000
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 1 0.0000 0.983 1.000 0.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 1 0.0000 0.983 1.000 0.000
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 2 0.0000 0.992 0.000 1.000
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 2 0.0000 0.992 0.000 1.000
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.0000 0.992 0.000 1.000
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 2 0.0000 0.992 0.000 1.000
#> 343F031B-0095-429D-8212-AD0581DBB05B 2 0.3879 0.927 0.076 0.924
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 2 0.0000 0.992 0.000 1.000
#> 03A226C5-398D-41D2-BB72-C97A373CD512 2 0.0000 0.992 0.000 1.000
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 2 0.0000 0.992 0.000 1.000
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 2 0.0000 0.992 0.000 1.000
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 2 0.0000 0.992 0.000 1.000
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.0000 0.992 0.000 1.000
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.0000 0.992 0.000 1.000
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.0000 0.992 0.000 1.000
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 1 0.0000 0.983 1.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 2 0.0000 0.992 0.000 1.000
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 1 0.0000 0.983 1.000 0.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 2 0.0000 0.992 0.000 1.000
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 1 0.0000 0.983 1.000 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.0000 0.992 0.000 1.000
#> FC7821F4-6495-4545-A22A-764BB99B3F79 2 0.0000 0.992 0.000 1.000
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.0000 0.992 0.000 1.000
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.0000 0.992 0.000 1.000
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.0000 0.992 0.000 1.000
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.0000 0.992 0.000 1.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 2 0.0000 0.992 0.000 1.000
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 2 0.0000 0.992 0.000 1.000
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.0000 0.992 0.000 1.000
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 1 0.0000 0.983 1.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 2 0.0000 0.992 0.000 1.000
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.0000 0.992 0.000 1.000
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 2 0.3584 0.934 0.068 0.932
#> BEE081CA-8420-4314-88A0-286BB30FFD65 2 0.0000 0.992 0.000 1.000
#> C464CD1D-4519-48E8-A18A-403F691E5702 2 0.0000 0.992 0.000 1.000
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 2 0.0000 0.992 0.000 1.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.0000 0.992 0.000 1.000
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0000 0.992 0.000 1.000
#> A563359B-0D55-4826-9229-62A89143C1C6 2 0.0000 0.992 0.000 1.000
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 2 0.0000 0.992 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.1163 0.7755 0.028 0.972 0.000
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 1 0.5465 0.5378 0.712 0.288 0.000
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 1 0.6095 0.2766 0.608 0.392 0.000
#> 91202998-760F-4421-B1C4-18639962EDDA 1 0.2796 0.6724 0.908 0.092 0.000
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.1289 0.7755 0.032 0.968 0.000
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 1 0.2448 0.6764 0.924 0.076 0.000
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 1 0.0592 0.6602 0.988 0.012 0.000
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.3941 0.6894 0.156 0.844 0.000
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.3340 0.7391 0.120 0.880 0.000
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.6045 0.3755 0.380 0.620 0.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 1 0.2066 0.6722 0.940 0.060 0.000
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.7442 0.3685 0.348 0.048 0.604
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 1 0.6252 0.1337 0.556 0.444 0.000
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#> B150AB08-9BE5-4DBB-AB30-80C09B319E6D 1 0.5926 0.4913 0.644 0.356 0.000
#> 4DC8E477-9AA6-41F7-A7BB-EEEFAFD33256 1 0.1860 0.6710 0.948 0.052 0.000
#> 327E0B69-E439-4161-BD58-2E22C5D3A76F 1 0.6215 0.4087 0.572 0.428 0.000
#> 50F9B130-6BE8-483C-828F-15445492B631 1 0.5397 0.5419 0.720 0.280 0.000
#> D57E89FF-CC54-4FE9-A99B-2E75D407AB91 1 0.3551 0.6845 0.868 0.132 0.000
#> 659F3E30-3F80-49AF-9713-824F8D42BA74 1 0.1529 0.6705 0.960 0.040 0.000
#> 29E8ADB9-3F5D-497A-9A6B-85218AE2DB14 2 0.6126 -0.0340 0.400 0.600 0.000
#> 73B58A54-E759-44FE-8B84-70D60C78066D 1 0.0747 0.6620 0.984 0.016 0.000
#> 4001EE2D-F208-465E-B718-01CCB9BD1C17 2 0.0000 0.7639 0.000 1.000 0.000
#> AFE61E30-D425-40CC-BC57-C210A0D03EFE 1 0.3619 0.6500 0.864 0.136 0.000
#> C06D79D5-4D8A-47D3-97CE-0E9BA204347C 1 0.1753 0.6721 0.952 0.048 0.000
#> 3975BE32-7E20-4EFC-9122-FE468544C5D9 1 0.6204 0.4253 0.576 0.424 0.000
#> 0FDC5030-92FC-44B5-AE62-6EC3EA9290BB 3 0.0000 0.9879 0.000 0.000 1.000
#> 8E3F8687-B00B-4FA9-84F2-F731B169FC45 1 0.5905 0.4058 0.648 0.352 0.000
#> 45CEDF59-BC7A-4D86-8C2D-9A91AC141D30 1 0.3551 0.6673 0.868 0.132 0.000
#> 4043BFE7-72A7-4A95-8CB2-53FDD574B7EA 1 0.0592 0.6602 0.988 0.012 0.000
#> 64D465E7-0DB8-46A1-8BF2-BBF59D23B7EB 2 0.5650 0.4810 0.312 0.688 0.000
#> 9824DFB4-0A1A-4BA4-B2DC-5348DA3D3AE6 2 0.0000 0.7639 0.000 1.000 0.000
#> 50ECFB2A-FF9D-4A8A-91CB-3902D3B670A0 2 0.2448 0.7284 0.076 0.924 0.000
#> 755D805B-B9F4-41D3-ACA7-2BB599C3D529 2 0.6140 0.3158 0.404 0.596 0.000
#> 0BA34100-8588-47B5-A962-4BD1916645B6 1 0.4399 0.6279 0.812 0.188 0.000
#> 9CE2E8D4-1AD1-4546-AD5D-D58193F79096 1 0.2537 0.6742 0.920 0.080 0.000
#> 92D7DB12-B0E0-4072-98FB-34B112E7728D 1 0.4452 0.6738 0.808 0.192 0.000
#> 79FD2101-0A9A-4EA7-A773-5EA8693138D0 2 0.3038 0.7411 0.104 0.896 0.000
#> A3A8937A-0B0B-4A68-AE68-81DA9CF7F4FB 1 0.0747 0.6620 0.984 0.016 0.000
#> 3EB3C0F8-4CBC-41A7-81E4-4D8A565441A7 1 0.4796 0.5841 0.780 0.220 0.000
#> 77EE3B54-FD7A-4ACF-879C-31667ADCCC5B 2 0.1289 0.7755 0.032 0.968 0.000
#> 327B2123-6DD8-4263-87DE-EE917E911DD4 1 0.1860 0.6685 0.948 0.052 0.000
#> 198A6AD0-79CD-40F5-A622-18AFBE78F2D2 1 0.5948 0.5246 0.640 0.360 0.000
#> EEE29DE1-F88C-4184-B499-5E86E2D252C4 1 0.2959 0.6626 0.900 0.100 0.000
#> 1E95EA22-BC41-4AAE-AFCC-F9281989A785 1 0.4842 0.6528 0.776 0.224 0.000
#> CD3AC0E4-88A9-4084-A2BE-AEE722CF6AA3 2 0.6244 0.0493 0.440 0.560 0.000
#> 8D7FABA2-764D-4795-BB04-D9E69E9792B9 1 0.6180 0.4303 0.584 0.416 0.000
#> DAC07889-EE06-46E0-B1F1-833ECC0A48A9 2 0.3941 0.6988 0.156 0.844 0.000
#> E7B555A3-567B-4A44-8225-D269E73FB50B 1 0.3941 0.6641 0.844 0.156 0.000
#> 3CC95101-C35F-4761-9D41-3C35BD55B37E 1 0.5859 0.5044 0.656 0.344 0.000
#> F62E5A69-5E81-4B2A-8CC0-F4D6E188B187 1 0.5882 0.4966 0.652 0.348 0.000
#> C650633B-A369-4657-8693-FDFBF22BD34E 1 0.4842 0.6563 0.776 0.224 0.000
#> 5E514217-F0DB-49FD-9C5D-EB22628ED297 2 0.6045 0.2563 0.380 0.620 0.000
#> 6E1DB9BF-06FE-48B1-A2D8-EF2CE7591364 2 0.1031 0.7744 0.024 0.976 0.000
#> C9581CE3-58B6-45B4-B4B7-15F555FD84A4 1 0.2878 0.6829 0.904 0.096 0.000
#> F56C26ED-9358-485B-8867-EBA1CAA4E2A7 2 0.0000 0.7639 0.000 1.000 0.000
#> 45CA3F9E-40EE-43A4-AE57-FE51D4003844 2 0.1860 0.7745 0.052 0.948 0.000
#> 47EFA063-19C1-4E1F-ACE8-68D9BAD0B995 1 0.6267 0.3857 0.548 0.452 0.000
#> 8C30EA0F-0DA1-43C7-81AE-DE825A53F114 1 0.5529 0.5438 0.704 0.296 0.000
#> 2CE7477C-DD09-4B3A-AD65-C696BE8C9B11 1 0.6180 0.4303 0.584 0.416 0.000
#> 4DECB19A-290F-4CEB-BE25-AAF9B9E2B58F 1 0.6180 0.4303 0.584 0.416 0.000
#> 3DEA9B14-DF42-43A0-AC4A-32AE7A16218D 1 0.5254 0.5664 0.736 0.264 0.000
#> 9F57D45B-C62F-44C5-AB9D-0CB54BBA16F5 1 0.6286 0.3255 0.536 0.464 0.000
#> 54ACCFD9-A8D6-4E4C-9097-1A0BE258AA1B 1 0.6299 0.1348 0.524 0.476 0.000
#> 9EE67DE9-9B56-4773-8F6A-1036D31F568E 1 0.5497 0.5283 0.708 0.292 0.000
#> 1B1C9301-D6D6-4F6B-80A3-3603013AA951 1 0.6045 0.4605 0.620 0.380 0.000
#> DDDCDF00-FB0A-477B-891B-2EE5E0C8F61E 3 0.0000 0.9879 0.000 0.000 1.000
#> 34A3260D-AC4D-416F-ADF0-24013048BC46 2 0.0237 0.7607 0.004 0.996 0.000
#> 671C1840-9C1B-4AC1-9564-78802489F763 1 0.6154 0.4460 0.592 0.408 0.000
#> BA4F7841-9FC3-4CE6-ACA5-43FC36641640 1 0.6309 0.0415 0.504 0.496 0.000
#> 24A02CE5-28E7-457E-8B90-4EACA528B072 2 0.6235 0.0635 0.436 0.564 0.000
#> C7008665-F6DE-48B4-A0E7-6C388B72C609 2 0.1411 0.7755 0.036 0.964 0.000
#> 50F984AB-95C1-4D7B-A787-418CBB59D165 1 0.5810 0.5344 0.664 0.336 0.000
#> 5FFD2A6A-ED8A-44A9-9FC1-3106341C284A 1 0.6215 0.1970 0.572 0.428 0.000
#> 7481630E-5CBA-4A4A-A16F-E327BCEE11D3 2 0.6062 0.0426 0.384 0.616 0.000
#> 7B3E6643-C148-4266-A3A3-80BAB713DD3E 2 0.1411 0.7755 0.036 0.964 0.000
#> BA8564FA-8D4D-4B2F-A178-63209F887A05 1 0.5882 0.5009 0.652 0.348 0.000
#> 2FB578F6-E8B7-434D-9720-D448A26C1EFD 1 0.6180 0.4303 0.584 0.416 0.000
#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 2 0.0000 0.7639 0.000 1.000 0.000
#> 740FCE46-8A4A-4A6A-B79F-78A63D28E313 2 0.5859 0.4375 0.344 0.656 0.000
#> 523A5832-0C42-44A4-A58F-7011C3A567DC 3 0.0000 0.9879 0.000 0.000 1.000
#> A2C68C81-7371-4E0C-BFD1-EA868A7C9499 2 0.0237 0.7663 0.004 0.996 0.000
#> 2EB7025A-D932-4238-BD60-609B25150029 1 0.3686 0.6664 0.860 0.140 0.000
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 2 0.5948 0.4215 0.360 0.640 0.000
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 2 0.3192 0.7373 0.112 0.888 0.000
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 2 0.1643 0.7738 0.044 0.956 0.000
#> F081EA01-ED14-491B-9620-BF8F10A7431D 1 0.4654 0.6374 0.792 0.208 0.000
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 2 0.0747 0.7721 0.016 0.984 0.000
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 1 0.5254 0.5427 0.736 0.264 0.000
#> B54639CE-F721-4908-B758-309F148AD3C2 1 0.5058 0.5975 0.756 0.244 0.000
#> EB4294E1-3FBC-495C-A041-829A654B59C5 3 0.0000 0.9879 0.000 0.000 1.000
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 2 0.3192 0.7009 0.112 0.888 0.000
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.2261 0.7646 0.068 0.932 0.000
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 2 0.6260 0.0667 0.448 0.552 0.000
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.1964 0.7689 0.056 0.944 0.000
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 1 0.5678 0.5465 0.684 0.316 0.000
#> D34036E4-1122-42AE-B20F-F4C8515872A0 2 0.2261 0.7681 0.068 0.932 0.000
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 1 0.5733 0.5628 0.676 0.324 0.000
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 1 0.3192 0.6717 0.888 0.112 0.000
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 3 0.0000 0.9879 0.000 0.000 1.000
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.1289 0.7755 0.032 0.968 0.000
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.1411 0.7755 0.036 0.964 0.000
#> F3C13430-405E-432E-8F3E-0DD18E86087E 2 0.2165 0.7698 0.064 0.936 0.000
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.1411 0.7755 0.036 0.964 0.000
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 1 0.6168 0.4433 0.588 0.412 0.000
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.1529 0.7750 0.040 0.960 0.000
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.4235 0.6542 0.176 0.824 0.000
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 2 0.6267 -0.1793 0.452 0.548 0.000
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.0000 0.7639 0.000 1.000 0.000
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 2 0.6126 0.1638 0.400 0.600 0.000
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 1 0.0592 0.6602 0.988 0.012 0.000
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 1 0.6180 0.4303 0.584 0.416 0.000
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 1 0.6235 0.3683 0.564 0.436 0.000
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.0000 0.9879 0.000 0.000 1.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.0000 0.9879 0.000 0.000 1.000
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 1 0.6111 0.2678 0.604 0.396 0.000
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 2 0.4399 0.6152 0.188 0.812 0.000
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.1289 0.7677 0.032 0.968 0.000
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 1 0.5926 0.5101 0.644 0.356 0.000
#> 343F031B-0095-429D-8212-AD0581DBB05B 1 0.2448 0.6754 0.924 0.076 0.000
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 1 0.6286 0.1035 0.536 0.464 0.000
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.4121 0.6501 0.832 0.168 0.000
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 1 0.5706 0.4878 0.680 0.320 0.000
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 1 0.4605 0.6346 0.796 0.204 0.000
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 2 0.2448 0.7339 0.076 0.924 0.000
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.0592 0.7537 0.012 0.988 0.000
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.1529 0.7759 0.040 0.960 0.000
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.2796 0.7454 0.092 0.908 0.000
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.0000 0.9879 0.000 0.000 1.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.6180 0.4354 0.584 0.416 0.000
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.0000 0.9879 0.000 0.000 1.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 1 0.3412 0.6494 0.876 0.124 0.000
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.0000 0.9879 0.000 0.000 1.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.1289 0.7755 0.032 0.968 0.000
#> FC7821F4-6495-4545-A22A-764BB99B3F79 2 0.6291 0.0184 0.468 0.532 0.000
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.5948 0.4145 0.360 0.640 0.000
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.6252 -0.0917 0.444 0.556 0.000
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 1 0.6286 0.3369 0.536 0.464 0.000
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.1964 0.7686 0.056 0.944 0.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 2 0.6308 -0.0490 0.492 0.508 0.000
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 1 0.1529 0.6688 0.960 0.040 0.000
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.0424 0.7680 0.008 0.992 0.000
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0000 0.9879 0.000 0.000 1.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 1 0.1753 0.6731 0.952 0.048 0.000
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.1860 0.7690 0.052 0.948 0.000
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 1 0.2878 0.6745 0.904 0.096 0.000
#> BEE081CA-8420-4314-88A0-286BB30FFD65 1 0.3038 0.6832 0.896 0.104 0.000
#> C464CD1D-4519-48E8-A18A-403F691E5702 1 0.6079 0.4909 0.612 0.388 0.000
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.5968 0.5186 0.636 0.364 0.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 1 0.5254 0.6167 0.736 0.264 0.000
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.1289 0.7755 0.032 0.968 0.000
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.5058 0.6258 0.756 0.244 0.000
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 2 0.6235 0.0722 0.436 0.564 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.5163 0.11636 0.480 0.516 0.000 0.004
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 4 0.7506 0.66480 0.184 0.376 0.000 0.440
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 2 0.5510 0.13875 0.024 0.600 0.000 0.376
#> 91202998-760F-4421-B1C4-18639962EDDA 4 0.4868 0.14284 0.212 0.040 0.000 0.748
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.4040 0.38582 0.248 0.752 0.000 0.000
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 4 0.7466 0.66068 0.176 0.388 0.000 0.436
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 4 0.4624 0.63003 0.000 0.340 0.000 0.660
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.4206 0.30192 0.136 0.816 0.000 0.048
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.3399 0.42045 0.040 0.868 0.000 0.092
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.1940 0.44841 0.000 0.924 0.000 0.076
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 4 0.5686 0.64403 0.032 0.376 0.000 0.592
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.6752 0.37884 0.244 0.004 0.616 0.136
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 2 0.4122 0.31154 0.004 0.760 0.000 0.236
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 1 0.7568 -0.32090 0.404 0.404 0.000 0.192
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0000 0.97041 0.000 0.000 1.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.4790 0.26579 0.380 0.620 0.000 0.000
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.3958 0.63181 0.836 0.052 0.000 0.112
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 4 0.7354 0.66593 0.160 0.388 0.000 0.452
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 4 0.7558 0.66878 0.196 0.360 0.000 0.444
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.3143 0.60297 0.876 0.100 0.000 0.024
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.4790 0.25658 0.380 0.620 0.000 0.000
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.3751 0.31658 0.004 0.800 0.000 0.196
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 1 0.5250 0.05313 0.552 0.440 0.000 0.008
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 4 0.4222 -0.04238 0.272 0.000 0.000 0.728
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.5165 0.20448 0.080 0.752 0.000 0.168
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 4 0.7117 0.61454 0.180 0.264 0.000 0.556
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.2799 0.42830 0.008 0.884 0.000 0.108
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.3308 0.45412 0.092 0.872 0.000 0.036
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.0000 0.97041 0.000 0.000 1.000 0.000
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#> 51875568-DA72-4A62-9A19-2A61860B83C3 4 0.7858 0.64354 0.288 0.316 0.000 0.396
#> C4DB90C8-EB0B-4071-BD4F-EEB37E8ADC26 2 0.4761 0.26445 0.372 0.628 0.000 0.000
#> 55F8E6BA-AF16-4514-8845-1FCACB758812 3 0.0000 0.97041 0.000 0.000 1.000 0.000
#> 7F9B2F13-F387-4A54-920A-62C23D9BFB77 2 0.4522 0.31117 0.320 0.680 0.000 0.000
#> 248E5BD8-0458-43A1-B5D1-BDA14558421F 1 0.5284 0.56025 0.696 0.040 0.000 0.264
#> B150AB08-9BE5-4DBB-AB30-80C09B319E6D 4 0.7500 0.65639 0.180 0.404 0.000 0.416
#> 4DC8E477-9AA6-41F7-A7BB-EEEFAFD33256 4 0.5184 0.53458 0.056 0.212 0.000 0.732
#> 327E0B69-E439-4161-BD58-2E22C5D3A76F 1 0.3013 0.61937 0.888 0.080 0.000 0.032
#> 50F9B130-6BE8-483C-828F-15445492B631 4 0.7659 0.67266 0.224 0.332 0.000 0.444
#> D57E89FF-CC54-4FE9-A99B-2E75D407AB91 4 0.5940 0.43381 0.240 0.088 0.000 0.672
#> 659F3E30-3F80-49AF-9713-824F8D42BA74 4 0.7146 0.59671 0.228 0.212 0.000 0.560
#> 29E8ADB9-3F5D-497A-9A6B-85218AE2DB14 1 0.5410 0.48620 0.728 0.192 0.000 0.080
#> 73B58A54-E759-44FE-8B84-70D60C78066D 4 0.2908 0.35703 0.040 0.064 0.000 0.896
#> 4001EE2D-F208-465E-B718-01CCB9BD1C17 2 0.4804 0.25801 0.384 0.616 0.000 0.000
#> AFE61E30-D425-40CC-BC57-C210A0D03EFE 4 0.4643 -0.12223 0.344 0.000 0.000 0.656
#> C06D79D5-4D8A-47D3-97CE-0E9BA204347C 4 0.7381 0.67761 0.180 0.328 0.000 0.492
#> 3975BE32-7E20-4EFC-9122-FE468544C5D9 4 0.7857 0.62555 0.272 0.348 0.000 0.380
#> 0FDC5030-92FC-44B5-AE62-6EC3EA9290BB 3 0.0000 0.97041 0.000 0.000 1.000 0.000
#> 8E3F8687-B00B-4FA9-84F2-F731B169FC45 2 0.6968 -0.35632 0.140 0.552 0.000 0.308
#> 45CEDF59-BC7A-4D86-8C2D-9A91AC141D30 4 0.4188 0.13798 0.148 0.040 0.000 0.812
#> 4043BFE7-72A7-4A95-8CB2-53FDD574B7EA 4 0.3982 0.55437 0.004 0.220 0.000 0.776
#> 64D465E7-0DB8-46A1-8BF2-BBF59D23B7EB 2 0.1902 0.48384 0.064 0.932 0.000 0.004
#> 9824DFB4-0A1A-4BA4-B2DC-5348DA3D3AE6 2 0.4761 0.26445 0.372 0.628 0.000 0.000
#> 50ECFB2A-FF9D-4A8A-91CB-3902D3B670A0 2 0.4992 0.12983 0.476 0.524 0.000 0.000
#> 755D805B-B9F4-41D3-ACA7-2BB599C3D529 2 0.2036 0.48263 0.032 0.936 0.000 0.032
#> 0BA34100-8588-47B5-A962-4BD1916645B6 1 0.5807 0.51609 0.596 0.040 0.000 0.364
#> 9CE2E8D4-1AD1-4546-AD5D-D58193F79096 4 0.3128 0.28287 0.076 0.040 0.000 0.884
#> 92D7DB12-B0E0-4072-98FB-34B112E7728D 4 0.8074 0.60922 0.336 0.312 0.004 0.348
#> 79FD2101-0A9A-4EA7-A773-5EA8693138D0 2 0.2319 0.45987 0.040 0.924 0.000 0.036
#> A3A8937A-0B0B-4A68-AE68-81DA9CF7F4FB 4 0.3320 0.37470 0.056 0.068 0.000 0.876
#> 3EB3C0F8-4CBC-41A7-81E4-4D8A565441A7 4 0.5882 0.61588 0.048 0.344 0.000 0.608
#> 77EE3B54-FD7A-4ACF-879C-31667ADCCC5B 2 0.4746 0.27167 0.368 0.632 0.000 0.000
#> 327B2123-6DD8-4263-87DE-EE917E911DD4 4 0.4790 0.62721 0.000 0.380 0.000 0.620
#> 198A6AD0-79CD-40F5-A622-18AFBE78F2D2 1 0.4181 0.62275 0.820 0.052 0.000 0.128
#> EEE29DE1-F88C-4184-B499-5E86E2D252C4 4 0.4356 -0.05135 0.292 0.000 0.000 0.708
#> 1E95EA22-BC41-4AAE-AFCC-F9281989A785 1 0.6815 0.40047 0.580 0.136 0.000 0.284
#> CD3AC0E4-88A9-4084-A2BE-AEE722CF6AA3 1 0.4608 0.33067 0.692 0.304 0.000 0.004
#> 8D7FABA2-764D-4795-BB04-D9E69E9792B9 1 0.4482 0.62583 0.804 0.068 0.000 0.128
#> DAC07889-EE06-46E0-B1F1-833ECC0A48A9 2 0.1584 0.48315 0.036 0.952 0.000 0.012
#> E7B555A3-567B-4A44-8225-D269E73FB50B 4 0.7717 0.64088 0.224 0.384 0.000 0.392
#> 3CC95101-C35F-4761-9D41-3C35BD55B37E 2 0.7784 -0.63874 0.244 0.392 0.000 0.364
#> F62E5A69-5E81-4B2A-8CC0-F4D6E188B187 1 0.7179 0.32908 0.456 0.136 0.000 0.408
#> C650633B-A369-4657-8693-FDFBF22BD34E 4 0.7895 0.63444 0.308 0.316 0.000 0.376
#> 5E514217-F0DB-49FD-9C5D-EB22628ED297 2 0.7114 -0.35000 0.188 0.560 0.000 0.252
#> 6E1DB9BF-06FE-48B1-A2D8-EF2CE7591364 2 0.4761 0.26445 0.372 0.628 0.000 0.000
#> C9581CE3-58B6-45B4-B4B7-15F555FD84A4 4 0.7738 0.64956 0.240 0.336 0.000 0.424
#> F56C26ED-9358-485B-8867-EBA1CAA4E2A7 2 0.4804 0.25481 0.384 0.616 0.000 0.000
#> 45CA3F9E-40EE-43A4-AE57-FE51D4003844 2 0.3444 0.43277 0.184 0.816 0.000 0.000
#> 47EFA063-19C1-4E1F-ACE8-68D9BAD0B995 1 0.6402 0.37637 0.624 0.108 0.000 0.268
#> 8C30EA0F-0DA1-43C7-81AE-DE825A53F114 4 0.7858 0.64354 0.288 0.316 0.000 0.396
#> 2CE7477C-DD09-4B3A-AD65-C696BE8C9B11 1 0.3674 0.63118 0.852 0.044 0.000 0.104
#> 4DECB19A-290F-4CEB-BE25-AAF9B9E2B58F 1 0.3840 0.63351 0.844 0.052 0.000 0.104
#> 3DEA9B14-DF42-43A0-AC4A-32AE7A16218D 4 0.7264 0.56888 0.168 0.320 0.000 0.512
#> 9F57D45B-C62F-44C5-AB9D-0CB54BBA16F5 4 0.7795 0.64663 0.252 0.344 0.000 0.404
#> 54ACCFD9-A8D6-4E4C-9097-1A0BE258AA1B 1 0.7799 0.28017 0.400 0.252 0.000 0.348
#> 9EE67DE9-9B56-4773-8F6A-1036D31F568E 4 0.6083 0.62084 0.056 0.360 0.000 0.584
#> 1B1C9301-D6D6-4F6B-80A3-3603013AA951 2 0.7842 -0.64306 0.264 0.376 0.000 0.360
#> DDDCDF00-FB0A-477B-891B-2EE5E0C8F61E 3 0.0000 0.97041 0.000 0.000 1.000 0.000
#> 34A3260D-AC4D-416F-ADF0-24013048BC46 2 0.4761 0.26445 0.372 0.628 0.000 0.000
#> 671C1840-9C1B-4AC1-9564-78802489F763 1 0.3899 0.63329 0.840 0.052 0.000 0.108
#> BA4F7841-9FC3-4CE6-ACA5-43FC36641640 2 0.7859 -0.16528 0.272 0.376 0.000 0.352
#> 24A02CE5-28E7-457E-8B90-4EACA528B072 1 0.4655 0.31669 0.684 0.312 0.000 0.004
#> C7008665-F6DE-48B4-A0E7-6C388B72C609 2 0.1474 0.48604 0.052 0.948 0.000 0.000
#> 50F984AB-95C1-4D7B-A787-418CBB59D165 1 0.6310 0.15521 0.512 0.060 0.000 0.428
#> 5FFD2A6A-ED8A-44A9-9FC1-3106341C284A 2 0.4656 0.25987 0.056 0.784 0.000 0.160
#> 7481630E-5CBA-4A4A-A16F-E327BCEE11D3 1 0.4578 0.57161 0.788 0.160 0.000 0.052
#> 7B3E6643-C148-4266-A3A3-80BAB713DD3E 2 0.3486 0.42637 0.188 0.812 0.000 0.000
#> BA8564FA-8D4D-4B2F-A178-63209F887A05 1 0.7363 -0.07186 0.516 0.200 0.000 0.284
#> 2FB578F6-E8B7-434D-9720-D448A26C1EFD 1 0.3621 0.64011 0.860 0.068 0.000 0.072
#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 2 0.4830 0.25353 0.392 0.608 0.000 0.000
#> 740FCE46-8A4A-4A6A-B79F-78A63D28E313 2 0.0817 0.48454 0.000 0.976 0.000 0.024
#> 523A5832-0C42-44A4-A58F-7011C3A567DC 3 0.0000 0.97041 0.000 0.000 1.000 0.000
#> A2C68C81-7371-4E0C-BFD1-EA868A7C9499 2 0.4761 0.26445 0.372 0.628 0.000 0.000
#> 2EB7025A-D932-4238-BD60-609B25150029 4 0.7201 0.61314 0.224 0.224 0.000 0.552
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 2 0.3105 0.38919 0.012 0.868 0.000 0.120
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 2 0.1557 0.48676 0.056 0.944 0.000 0.000
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 2 0.2011 0.48107 0.080 0.920 0.000 0.000
#> F081EA01-ED14-491B-9620-BF8F10A7431D 4 0.7717 0.64088 0.224 0.384 0.000 0.392
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 2 0.4761 0.26445 0.372 0.628 0.000 0.000
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 4 0.7609 0.67120 0.224 0.312 0.000 0.464
#> B54639CE-F721-4908-B758-309F148AD3C2 2 0.7733 -0.60905 0.232 0.412 0.000 0.356
#> EB4294E1-3FBC-495C-A041-829A654B59C5 3 0.0000 0.97041 0.000 0.000 1.000 0.000
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 2 0.4925 0.20419 0.428 0.572 0.000 0.000
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.1211 0.48730 0.040 0.960 0.000 0.000
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 1 0.5592 0.34708 0.656 0.300 0.000 0.044
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.0817 0.48499 0.024 0.976 0.000 0.000
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 1 0.6108 0.10665 0.528 0.048 0.000 0.424
#> D34036E4-1122-42AE-B20F-F4C8515872A0 2 0.1389 0.48579 0.048 0.952 0.000 0.000
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 2 0.7837 -0.60000 0.292 0.408 0.000 0.300
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 4 0.3706 0.24203 0.112 0.040 0.000 0.848
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 3 0.0000 0.97041 0.000 0.000 1.000 0.000
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.4746 0.26896 0.368 0.632 0.000 0.000
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.3486 0.42291 0.188 0.812 0.000 0.000
#> F3C13430-405E-432E-8F3E-0DD18E86087E 2 0.2647 0.46834 0.120 0.880 0.000 0.000
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.4134 0.39453 0.260 0.740 0.000 0.000
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 1 0.4599 0.63022 0.800 0.088 0.000 0.112
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.4164 0.36183 0.264 0.736 0.000 0.000
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.5714 0.08676 0.156 0.716 0.000 0.128
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 1 0.5889 0.55374 0.696 0.116 0.000 0.188
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.4746 0.27346 0.368 0.632 0.000 0.000
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.4560 0.34104 0.700 0.296 0.000 0.004
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 4 0.1807 0.36207 0.008 0.052 0.000 0.940
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 1 0.4389 0.63611 0.812 0.072 0.000 0.116
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.7771 -0.62154 0.244 0.408 0.000 0.348
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.0000 0.97041 0.000 0.000 1.000 0.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.0000 0.97041 0.000 0.000 1.000 0.000
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 2 0.4655 0.24047 0.004 0.684 0.000 0.312
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 1 0.6696 0.13888 0.484 0.428 0.000 0.088
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.4697 0.28435 0.356 0.644 0.000 0.000
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 4 0.6158 -0.17967 0.384 0.056 0.000 0.560
#> 343F031B-0095-429D-8212-AD0581DBB05B 4 0.6673 0.49965 0.140 0.252 0.000 0.608
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 2 0.4417 0.28971 0.044 0.796 0.000 0.160
#> 03A226C5-398D-41D2-BB72-C97A373CD512 4 0.5594 -0.18986 0.460 0.020 0.000 0.520
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 4 0.5847 0.64074 0.036 0.404 0.000 0.560
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 2 0.7666 -0.64126 0.212 0.396 0.000 0.392
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 2 0.4948 0.19195 0.440 0.560 0.000 0.000
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.4761 0.26445 0.372 0.628 0.000 0.000
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.4522 0.34766 0.320 0.680 0.000 0.000
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.3863 0.33524 0.144 0.828 0.000 0.028
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.0000 0.97041 0.000 0.000 1.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.4718 0.62951 0.792 0.092 0.000 0.116
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.0000 0.97041 0.000 0.000 1.000 0.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 4 0.6009 0.65092 0.048 0.380 0.000 0.572
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.0000 0.97041 0.000 0.000 1.000 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.4697 0.28286 0.356 0.644 0.000 0.000
#> FC7821F4-6495-4545-A22A-764BB99B3F79 2 0.6805 -0.07137 0.400 0.500 0.000 0.100
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.1489 0.47900 0.004 0.952 0.000 0.044
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.7867 -0.57235 0.292 0.392 0.000 0.316
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.7706 -0.63541 0.224 0.412 0.000 0.364
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.1867 0.48621 0.072 0.928 0.000 0.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 2 0.2919 0.47528 0.060 0.896 0.000 0.044
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 4 0.7281 0.66794 0.152 0.380 0.000 0.468
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.4776 0.27090 0.376 0.624 0.000 0.000
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0000 0.97041 0.000 0.000 1.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 4 0.6942 0.62391 0.176 0.240 0.000 0.584
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.4713 0.27084 0.360 0.640 0.000 0.000
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 4 0.6005 0.22173 0.324 0.060 0.000 0.616
#> BEE081CA-8420-4314-88A0-286BB30FFD65 4 0.7501 0.66503 0.184 0.372 0.000 0.444
#> C464CD1D-4519-48E8-A18A-403F691E5702 1 0.7108 -0.03081 0.512 0.140 0.000 0.348
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.3653 0.61383 0.844 0.028 0.000 0.128
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.7747 -0.63826 0.232 0.388 0.000 0.380
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.4713 0.27423 0.360 0.640 0.000 0.000
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.7179 -0.09240 0.480 0.140 0.000 0.380
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.4655 0.31941 0.684 0.312 0.000 0.004
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.4627 -0.444829 0.012 0.544 0.000 0.444 0.000
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 5 0.6691 0.503025 0.192 0.296 0.000 0.012 0.500
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 5 0.6414 -0.000857 0.016 0.400 0.000 0.112 0.472
#> 91202998-760F-4421-B1C4-18639962EDDA 5 0.7109 -0.131285 0.340 0.012 0.000 0.280 0.368
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.4290 -0.104383 0.000 0.680 0.000 0.304 0.016
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 5 0.6076 0.530313 0.196 0.232 0.000 0.000 0.572
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 5 0.3558 0.273808 0.008 0.020 0.000 0.156 0.816
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.1668 0.536847 0.032 0.940 0.000 0.000 0.028
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.1892 0.533216 0.004 0.916 0.000 0.000 0.080
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.5344 0.457592 0.000 0.672 0.000 0.168 0.160
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 5 0.5538 0.483620 0.032 0.200 0.000 0.080 0.688
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.4565 0.472334 0.308 0.000 0.664 0.000 0.028
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 2 0.6814 0.169968 0.008 0.404 0.000 0.204 0.384
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 2 0.7988 -0.060210 0.292 0.364 0.000 0.084 0.260
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#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 5 0.5336 0.392450 0.036 0.428 0.000 0.008 0.528
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 5 0.5534 0.484349 0.128 0.196 0.000 0.008 0.668
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 4 0.4300 0.489102 0.000 0.476 0.000 0.524 0.000
#> F9F33C38-A087-49FF-B994-3C9EE264F448 4 0.4210 0.518613 0.000 0.412 0.000 0.588 0.000
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.2707 0.466000 0.000 0.876 0.000 0.100 0.024
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.0880 0.532823 0.032 0.968 0.000 0.000 0.000
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.0000 0.970810 0.000 0.000 1.000 0.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 4 0.6748 0.072512 0.328 0.160 0.000 0.492 0.020
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.0000 0.970810 0.000 0.000 1.000 0.000 0.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 5 0.6474 0.529647 0.084 0.268 0.000 0.060 0.588
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.0000 0.970810 0.000 0.000 1.000 0.000 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 4 0.4262 0.466419 0.000 0.440 0.000 0.560 0.000
#> FC7821F4-6495-4545-A22A-764BB99B3F79 2 0.7388 -0.087923 0.272 0.352 0.000 0.348 0.028
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.3192 0.491612 0.000 0.848 0.000 0.040 0.112
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.6081 -0.306397 0.096 0.492 0.000 0.008 0.404
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.5995 -0.370349 0.112 0.468 0.000 0.000 0.420
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.2929 0.482760 0.000 0.820 0.000 0.180 0.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 2 0.6140 0.375454 0.064 0.628 0.000 0.064 0.244
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 5 0.7077 0.517260 0.188 0.168 0.000 0.080 0.564
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.3999 0.261829 0.000 0.656 0.000 0.344 0.000
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0000 0.970810 0.000 0.000 1.000 0.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 5 0.7127 0.279009 0.252 0.056 0.000 0.168 0.524
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.3496 0.465456 0.036 0.848 0.000 0.096 0.020
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 1 0.6385 0.161617 0.524 0.008 0.000 0.152 0.316
#> BEE081CA-8420-4314-88A0-286BB30FFD65 5 0.5986 0.521785 0.216 0.176 0.000 0.004 0.604
#> C464CD1D-4519-48E8-A18A-403F691E5702 1 0.8050 0.245200 0.420 0.124 0.000 0.248 0.208
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.4415 0.256498 0.604 0.000 0.000 0.388 0.008
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 5 0.5785 0.478572 0.108 0.332 0.000 0.000 0.560
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.4201 -0.027479 0.000 0.592 0.000 0.408 0.000
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.5417 0.242265 0.716 0.080 0.000 0.044 0.160
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 4 0.5558 0.507641 0.112 0.268 0.000 0.620 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.6729 0.1854 0.108 0.488 0.000 0.000 0.124 0.280
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 5 0.4052 0.5888 0.064 0.108 0.000 0.024 0.796 0.008
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 4 0.6885 0.0380 0.000 0.228 0.000 0.492 0.120 0.160
#> 91202998-760F-4421-B1C4-18639962EDDA 4 0.6455 0.3859 0.200 0.004 0.000 0.548 0.188 0.060
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.4368 0.6001 0.076 0.756 0.000 0.000 0.028 0.140
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 5 0.2139 0.5513 0.008 0.028 0.000 0.024 0.920 0.020
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 5 0.5178 -0.3098 0.040 0.012 0.000 0.436 0.504 0.008
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.5726 0.3652 0.008 0.544 0.000 0.004 0.308 0.136
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.5879 0.3253 0.008 0.500 0.000 0.004 0.344 0.144
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.4041 0.4222 0.000 0.684 0.000 0.008 0.292 0.016
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 5 0.4625 0.2735 0.056 0.012 0.000 0.216 0.708 0.008
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.5251 0.5700 0.136 0.000 0.676 0.004 0.160 0.024
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 2 0.5021 0.2082 0.000 0.536 0.000 0.408 0.032 0.024
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 5 0.6003 0.1753 0.068 0.024 0.000 0.028 0.532 0.348
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0146 0.9706 0.004 0.000 0.996 0.000 0.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.4120 0.5732 0.096 0.744 0.000 0.000 0.000 0.160
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.3004 0.6357 0.848 0.012 0.000 0.000 0.112 0.028
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 5 0.3808 0.5763 0.060 0.080 0.000 0.032 0.820 0.008
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 5 0.5032 0.5768 0.072 0.232 0.000 0.012 0.672 0.012
#> A08E2707-DDB0-40FE-828F-14720768FB05 6 0.6665 0.2701 0.356 0.096 0.000 0.000 0.108 0.440
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.5485 0.5003 0.104 0.644 0.000 0.000 0.044 0.208
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.5855 0.3046 0.000 0.576 0.000 0.276 0.100 0.048
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 6 0.6850 0.4963 0.152 0.284 0.000 0.004 0.084 0.476
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 6 0.7630 -0.3288 0.204 0.000 0.000 0.284 0.200 0.312
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 5 0.6240 0.1190 0.016 0.324 0.000 0.016 0.504 0.140
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 4 0.5062 0.2006 0.012 0.000 0.000 0.560 0.372 0.056
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.4943 0.3869 0.000 0.644 0.000 0.060 0.276 0.020
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.5057 0.5299 0.040 0.692 0.000 0.000 0.088 0.180
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.0000 0.9718 0.000 0.000 1.000 0.000 0.000 0.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.6901 -0.1673 0.060 0.400 0.000 0.004 0.184 0.352
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 5 0.4354 0.5922 0.056 0.168 0.000 0.016 0.752 0.008
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 2 0.7493 -0.2143 0.116 0.348 0.000 0.004 0.248 0.284
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.4303 0.5700 0.016 0.764 0.000 0.004 0.088 0.128
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.1275 0.6333 0.016 0.956 0.000 0.000 0.016 0.012
#> 2846A3AC-D102-4E37-9B72-139ED727157A 2 0.4717 0.3350 0.000 0.584 0.000 0.032 0.372 0.012
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.6539 0.1253 0.108 0.480 0.000 0.000 0.088 0.324
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 1 0.5592 0.2163 0.488 0.016 0.000 0.404 0.092 0.000
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.6455 0.4122 0.532 0.004 0.000 0.128 0.268 0.068
#> 150F5B77-4848-4D68-800A-0A0236C3661F 5 0.6034 0.0588 0.008 0.380 0.000 0.008 0.460 0.144
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.5807 0.2013 0.456 0.016 0.000 0.004 0.100 0.424
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.0363 0.6321 0.000 0.988 0.000 0.000 0.012 0.000
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.2170 0.6116 0.100 0.888 0.000 0.000 0.000 0.012
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 4 0.6204 0.5089 0.116 0.004 0.000 0.572 0.244 0.064
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 5 0.2508 0.5420 0.048 0.012 0.000 0.016 0.900 0.024
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.3567 0.5585 0.100 0.800 0.000 0.000 0.000 0.100
#> 1447B543-D3AC-41B5-878F-B382FE49421B 6 0.7473 0.4201 0.156 0.244 0.000 0.000 0.228 0.372
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 2 0.6406 -0.1949 0.104 0.468 0.000 0.000 0.072 0.356
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 5 0.4219 0.5883 0.036 0.232 0.000 0.008 0.720 0.004
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.0000 0.9718 0.000 0.000 1.000 0.000 0.000 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 5 0.5586 0.4915 0.032 0.320 0.000 0.048 0.584 0.016
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 4 0.4859 0.1888 0.012 0.028 0.000 0.548 0.408 0.004
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.2653 0.6301 0.844 0.012 0.000 0.000 0.144 0.000
#> D9225689-21E0-478A-8F79-C26542938B8D 5 0.4272 0.6096 0.080 0.124 0.000 0.008 0.772 0.016
#> FC3BA46D-57F6-424C-8D62-16C441035969 5 0.3718 0.5509 0.020 0.056 0.000 0.012 0.824 0.088
#> 045CFFE6-4736-42F2-9340-C37690E47882 3 0.0000 0.9718 0.000 0.000 1.000 0.000 0.000 0.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 4 0.4614 0.2555 0.096 0.000 0.000 0.676 0.228 0.000
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 2 0.6422 0.2758 0.092 0.516 0.000 0.000 0.100 0.292
#> E94B217F-C5DC-4F42-8135-E81F338914B5 5 0.4106 0.5484 0.084 0.112 0.000 0.008 0.784 0.012
#> AE4C3956-76DF-4059-8D69-3D764F31817F 2 0.3672 0.4464 0.000 0.712 0.000 0.004 0.276 0.008
#> 33D6A38E-CD99-437B-99E0-04E72582F777 5 0.4265 0.5950 0.056 0.168 0.000 0.012 0.756 0.008
#> 8379051C-5847-42B5-AC5C-A128C166AB97 5 0.6280 0.4688 0.056 0.196 0.000 0.172 0.572 0.004
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 5 0.5096 0.5791 0.064 0.176 0.000 0.048 0.704 0.008
#> 40A16429-229E-4F40-BFC7-263554438F99 5 0.4557 0.5252 0.016 0.088 0.000 0.016 0.756 0.124
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 5 0.2937 0.5623 0.056 0.028 0.000 0.008 0.876 0.032
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 5 0.3003 0.5697 0.068 0.052 0.000 0.012 0.864 0.004
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 5 0.5909 -0.0482 0.400 0.012 0.000 0.040 0.492 0.056
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 5 0.6011 0.4231 0.032 0.152 0.000 0.236 0.576 0.004
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.3215 0.5807 0.100 0.828 0.000 0.000 0.000 0.072
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 5 0.4995 0.4856 0.056 0.076 0.000 0.144 0.720 0.004
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 5 0.6193 0.4494 0.024 0.244 0.000 0.164 0.556 0.012
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 5 0.5840 0.4590 0.084 0.332 0.000 0.012 0.548 0.024
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.2214 0.6359 0.000 0.888 0.000 0.000 0.016 0.096
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 5 0.6240 0.0133 0.004 0.380 0.000 0.024 0.448 0.144
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 5 0.5905 0.2986 0.036 0.108 0.000 0.280 0.572 0.004
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 2 0.6352 -0.2473 0.100 0.460 0.000 0.000 0.068 0.372
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 5 0.5358 0.5848 0.060 0.156 0.000 0.008 0.692 0.084
#> FDB47AC4-CE6A-428B-9B55-EBCEF1970ACB 5 0.1843 0.5366 0.032 0.016 0.000 0.016 0.932 0.004
#> 133B7E7B-FD50-48A2-9A35-E6D44FAB976B 2 0.6193 0.2865 0.000 0.464 0.000 0.024 0.348 0.164
#> E69E45DA-66A6-438A-9BFC-5F1F7F5C5A87 4 0.4612 0.4783 0.020 0.012 0.000 0.544 0.424 0.000
#> 6E242DF5-8B8B-4C6F-870E-C7ADFFAFDF3E 2 0.3807 0.5952 0.008 0.792 0.000 0.004 0.056 0.140
#> CB7BBFF1-4BF3-42A9-85C6-680D91503799 4 0.6733 0.4053 0.068 0.096 0.000 0.520 0.288 0.028
#> 70AA4670-C75B-4E39-8958-3F9C29811871 5 0.5881 0.5669 0.064 0.208 0.000 0.012 0.632 0.084
#> D63C5178-4FF7-4FD0-B87E-6CBF6E7BEF5B 2 0.0767 0.6288 0.004 0.976 0.000 0.000 0.012 0.008
#> 814391F8-C5B9-43F6-A330-A6749BB8F16E 5 0.4752 0.5514 0.028 0.268 0.000 0.012 0.672 0.020
#> 146ED7EA-BF3C-4BAB-B33C-0A668AB13C80 4 0.4364 0.4756 0.008 0.012 0.000 0.556 0.424 0.000
#> FD5CAFE8-E669-406A-A505-A47DCDC32E93 5 0.4443 0.3425 0.032 0.024 0.000 0.208 0.728 0.008
#> 4B3C7910-A652-45B5-8218-9002EB0FD9EB 5 0.3163 0.5570 0.020 0.044 0.000 0.008 0.860 0.068
#> E410F77D-E31F-4D73-ACAC-9245935A92F5 4 0.4971 0.2337 0.040 0.000 0.000 0.580 0.360 0.020
#> 64336403-9037-480C-873A-67BC77119FA5 2 0.4960 0.5720 0.032 0.704 0.000 0.000 0.112 0.152
#> 6F9D5013-3B1B-41EE-85DB-E51F5D828DEF 5 0.2635 0.5087 0.048 0.016 0.000 0.036 0.892 0.008
#> 155AEBBD-1C12-4F88-90C7-1C7FF7E3FB2C 5 0.3966 0.5221 0.064 0.044 0.000 0.072 0.812 0.008
#> D28DDCAA-682C-451F-8327-D2C2AFB044E2 2 0.4204 0.5742 0.008 0.764 0.000 0.004 0.092 0.132
#> 171523DC-2713-4EBF-A115-53A0BA174545 3 0.0000 0.9718 0.000 0.000 1.000 0.000 0.000 0.000
#> FD223304-87BA-4462-A5E5-01AB8C018C35 5 0.6427 0.4741 0.188 0.136 0.000 0.040 0.596 0.040
#> D8E06D8A-9063-4466-A3B0-7724F4737C7A 5 0.2685 0.5742 0.080 0.044 0.000 0.004 0.872 0.000
#> FFA5FFF7-6301-4CD8-8E63-A4D8294D1B0E 4 0.5557 0.0060 0.032 0.000 0.000 0.464 0.444 0.060
#> AF3648D6-C774-48CC-9428-ADC00402A562 3 0.0000 0.9718 0.000 0.000 1.000 0.000 0.000 0.000
#> BD406B65-B715-444E-95B4-F38D05BAC863 5 0.6532 0.4770 0.092 0.172 0.000 0.144 0.580 0.012
#> 6DB67CA1-0BEB-4585-9867-40E7C8A96D55 2 0.0725 0.6303 0.000 0.976 0.000 0.000 0.012 0.012
#> 49C9DE1D-784D-405A-9DD3-C4D2890D0309 6 0.6828 0.4849 0.240 0.176 0.000 0.000 0.096 0.488
#> 05EC4D30-D34E-4497-B4F4-80AEDC2E70DF 1 0.2889 0.6365 0.852 0.012 0.000 0.000 0.116 0.020
#> CB69E76B-7CD3-49EF-9ADF-75701FE1D0A8 4 0.3421 0.5144 0.000 0.008 0.000 0.736 0.256 0.000
#> 103C6E25-A69A-460E-81C0-7437547E1334 6 0.6494 0.4886 0.072 0.284 0.000 0.004 0.120 0.520
#> 2D986DB0-B5A8-42E8-ACB8-926A16FAABD6 2 0.4469 0.5712 0.008 0.740 0.000 0.004 0.116 0.132
#> 1B9A0F24-8A3F-4693-B09C-5F0EFE5A32A5 6 0.7217 0.4885 0.176 0.288 0.000 0.000 0.128 0.408
#> C064D1FE-753E-4493-907C-C5FFE19F9875 2 0.2956 0.5941 0.088 0.848 0.000 0.000 0.000 0.064
#> 71596860-AEFA-4B94-8ADE-AC33CEA24DD4 5 0.5995 0.3213 0.088 0.412 0.000 0.008 0.464 0.028
#> E9A3A454-AB4D-4683-B276-84DA43792DBB 4 0.5174 0.5483 0.008 0.020 0.000 0.584 0.348 0.040
#> C5717869-8413-4810-A042-32E949AD3B0A 5 0.5419 0.5203 0.188 0.120 0.000 0.008 0.660 0.024
#> F36B393E-859C-49F8-BDF4-ED2CEF4C6307 5 0.4788 0.6060 0.036 0.140 0.000 0.028 0.748 0.048
#> 4CC9D3F9-983F-4CB2-91F1-0FBB86D53DC3 2 0.3167 0.5810 0.096 0.832 0.000 0.000 0.000 0.072
#> D450F074-CA68-49CE-B0B3-F81A91D54867 5 0.4462 0.5894 0.092 0.148 0.000 0.008 0.744 0.008
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#> 47EFA063-19C1-4E1F-ACE8-68D9BAD0B995 5 0.7182 0.3818 0.136 0.152 0.000 0.024 0.520 0.168
#> 8C30EA0F-0DA1-43C7-81AE-DE825A53F114 5 0.3691 0.4944 0.156 0.020 0.000 0.004 0.796 0.024
#> 2CE7477C-DD09-4B3A-AD65-C696BE8C9B11 1 0.3033 0.5979 0.856 0.012 0.000 0.000 0.056 0.076
#> 4DECB19A-290F-4CEB-BE25-AAF9B9E2B58F 1 0.4277 0.5644 0.764 0.012 0.000 0.004 0.112 0.108
#> 3DEA9B14-DF42-43A0-AC4A-32AE7A16218D 4 0.6188 0.1113 0.016 0.016 0.000 0.500 0.340 0.128
#> 9F57D45B-C62F-44C5-AB9D-0CB54BBA16F5 5 0.5009 0.5940 0.080 0.148 0.000 0.008 0.720 0.044
#> 54ACCFD9-A8D6-4E4C-9097-1A0BE258AA1B 6 0.4171 0.2118 0.112 0.020 0.000 0.004 0.084 0.780
#> 9EE67DE9-9B56-4773-8F6A-1036D31F568E 5 0.5992 0.5104 0.052 0.176 0.000 0.144 0.620 0.008
#> 1B1C9301-D6D6-4F6B-80A3-3603013AA951 5 0.5818 0.5104 0.056 0.292 0.000 0.008 0.584 0.060
#> DDDCDF00-FB0A-477B-891B-2EE5E0C8F61E 3 0.0000 0.9718 0.000 0.000 1.000 0.000 0.000 0.000
#> 34A3260D-AC4D-416F-ADF0-24013048BC46 2 0.4762 0.4757 0.100 0.724 0.000 0.000 0.032 0.144
#> 671C1840-9C1B-4AC1-9564-78802489F763 1 0.3080 0.6299 0.848 0.012 0.000 0.000 0.100 0.040
#> BA4F7841-9FC3-4CE6-ACA5-43FC36641640 6 0.4368 0.0678 0.016 0.384 0.000 0.008 0.000 0.592
#> 24A02CE5-28E7-457E-8B90-4EACA528B072 6 0.6075 0.1435 0.384 0.052 0.000 0.000 0.088 0.476
#> C7008665-F6DE-48B4-A0E7-6C388B72C609 2 0.0767 0.6288 0.004 0.976 0.000 0.000 0.012 0.008
#> 50F984AB-95C1-4D7B-A787-418CBB59D165 5 0.6011 0.5162 0.116 0.208 0.000 0.056 0.612 0.008
#> 5FFD2A6A-ED8A-44A9-9FC1-3106341C284A 2 0.5945 0.1950 0.008 0.456 0.000 0.004 0.388 0.144
#> 7481630E-5CBA-4A4A-A16F-E327BCEE11D3 6 0.7154 0.5115 0.176 0.244 0.000 0.000 0.136 0.444
#> 7B3E6643-C148-4266-A3A3-80BAB713DD3E 2 0.0909 0.6367 0.000 0.968 0.000 0.000 0.012 0.020
#> BA8564FA-8D4D-4B2F-A178-63209F887A05 1 0.7163 0.2802 0.400 0.024 0.000 0.044 0.204 0.328
#> 2FB578F6-E8B7-434D-9720-D448A26C1EFD 1 0.5666 0.3978 0.588 0.016 0.000 0.004 0.128 0.264
#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 2 0.5098 0.4238 0.100 0.692 0.000 0.000 0.040 0.168
#> 740FCE46-8A4A-4A6A-B79F-78A63D28E313 2 0.3915 0.4429 0.000 0.704 0.000 0.004 0.272 0.020
#> 523A5832-0C42-44A4-A58F-7011C3A567DC 3 0.0000 0.9718 0.000 0.000 1.000 0.000 0.000 0.000
#> A2C68C81-7371-4E0C-BFD1-EA868A7C9499 2 0.3883 0.5843 0.088 0.768 0.000 0.000 0.000 0.144
#> 2EB7025A-D932-4238-BD60-609B25150029 4 0.4658 0.2200 0.048 0.000 0.000 0.568 0.384 0.000
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 2 0.5899 0.3470 0.008 0.528 0.000 0.008 0.312 0.144
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 2 0.5047 0.5390 0.028 0.692 0.000 0.000 0.152 0.128
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 2 0.4379 0.5873 0.008 0.748 0.000 0.004 0.104 0.136
#> F081EA01-ED14-491B-9620-BF8F10A7431D 5 0.2542 0.5457 0.036 0.012 0.000 0.008 0.896 0.048
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 2 0.3063 0.5886 0.092 0.840 0.000 0.000 0.000 0.068
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 5 0.4581 0.5881 0.072 0.168 0.000 0.012 0.736 0.012
#> B54639CE-F721-4908-B758-309F148AD3C2 5 0.4742 0.4741 0.020 0.016 0.000 0.104 0.744 0.116
#> EB4294E1-3FBC-495C-A041-829A654B59C5 3 0.0146 0.9706 0.004 0.000 0.996 0.000 0.000 0.000
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 6 0.6665 0.3651 0.136 0.388 0.000 0.000 0.072 0.404
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.1398 0.6381 0.000 0.940 0.000 0.000 0.052 0.008
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 6 0.6565 0.4220 0.104 0.384 0.000 0.004 0.072 0.436
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.1151 0.6346 0.000 0.956 0.000 0.000 0.032 0.012
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 1 0.7977 0.2172 0.376 0.112 0.000 0.044 0.220 0.248
#> D34036E4-1122-42AE-B20F-F4C8515872A0 2 0.1757 0.6320 0.000 0.916 0.000 0.000 0.076 0.008
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 2 0.6650 0.1079 0.060 0.488 0.000 0.008 0.308 0.136
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 4 0.6480 0.4197 0.184 0.004 0.000 0.548 0.200 0.064
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 3 0.0000 0.9718 0.000 0.000 1.000 0.000 0.000 0.000
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.1176 0.6318 0.024 0.956 0.000 0.000 0.000 0.020
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.1269 0.6327 0.020 0.956 0.000 0.000 0.012 0.012
#> F3C13430-405E-432E-8F3E-0DD18E86087E 2 0.5865 0.4521 0.028 0.580 0.000 0.000 0.168 0.224
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.3830 0.6042 0.020 0.788 0.000 0.000 0.044 0.148
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 1 0.6603 0.1627 0.452 0.040 0.000 0.000 0.240 0.268
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.0951 0.6302 0.008 0.968 0.000 0.000 0.004 0.020
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.4567 0.5445 0.012 0.736 0.000 0.004 0.128 0.120
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 5 0.7500 0.0607 0.180 0.188 0.000 0.004 0.408 0.220
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.3268 0.5786 0.100 0.824 0.000 0.000 0.000 0.076
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 6 0.6854 0.5249 0.212 0.220 0.000 0.000 0.088 0.480
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 4 0.1088 0.3795 0.000 0.000 0.000 0.960 0.024 0.016
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 1 0.6328 0.3443 0.460 0.016 0.000 0.004 0.204 0.316
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 5 0.5146 0.5675 0.052 0.120 0.000 0.016 0.724 0.088
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.0000 0.9718 0.000 0.000 1.000 0.000 0.000 0.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.0146 0.9706 0.004 0.000 0.996 0.000 0.000 0.000
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 2 0.5710 0.1251 0.000 0.468 0.000 0.420 0.088 0.024
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 2 0.6692 0.0558 0.064 0.436 0.000 0.004 0.360 0.136
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.3172 0.5838 0.076 0.832 0.000 0.000 0.000 0.092
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 5 0.7579 0.1749 0.128 0.220 0.000 0.276 0.368 0.008
#> 343F031B-0095-429D-8212-AD0581DBB05B 4 0.5535 0.5096 0.024 0.048 0.000 0.564 0.348 0.016
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 5 0.6766 0.0271 0.012 0.328 0.000 0.048 0.456 0.156
#> 03A226C5-398D-41D2-BB72-C97A373CD512 6 0.6246 -0.3370 0.292 0.000 0.000 0.052 0.132 0.524
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 5 0.6332 0.4757 0.036 0.320 0.000 0.120 0.512 0.012
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 5 0.3009 0.5388 0.020 0.012 0.000 0.036 0.872 0.060
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 6 0.6624 0.4075 0.116 0.316 0.000 0.000 0.092 0.476
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.3960 0.5384 0.104 0.784 0.000 0.000 0.012 0.100
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.5137 0.5588 0.036 0.700 0.000 0.004 0.116 0.144
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.3883 0.5936 0.008 0.792 0.000 0.004 0.076 0.120
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.0000 0.9718 0.000 0.000 1.000 0.000 0.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.5933 0.3551 0.540 0.016 0.000 0.000 0.192 0.252
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.0000 0.9718 0.000 0.000 1.000 0.000 0.000 0.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 5 0.3538 0.4831 0.044 0.028 0.000 0.084 0.836 0.008
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.0146 0.9706 0.004 0.000 0.996 0.000 0.000 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.2170 0.6116 0.100 0.888 0.000 0.000 0.000 0.012
#> FC7821F4-6495-4545-A22A-764BB99B3F79 6 0.6624 0.4105 0.060 0.380 0.000 0.008 0.116 0.436
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.5719 0.3785 0.004 0.556 0.000 0.008 0.288 0.144
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 5 0.6406 0.4601 0.060 0.232 0.000 0.016 0.572 0.120
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 5 0.5203 0.5905 0.040 0.180 0.000 0.012 0.696 0.072
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.0870 0.6293 0.004 0.972 0.000 0.000 0.012 0.012
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 5 0.7540 -0.1122 0.016 0.232 0.000 0.092 0.372 0.288
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 5 0.2420 0.5237 0.016 0.028 0.000 0.044 0.904 0.008
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.4074 0.5848 0.068 0.796 0.000 0.000 0.068 0.068
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0000 0.9718 0.000 0.000 1.000 0.000 0.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 5 0.5111 -0.2208 0.012 0.000 0.000 0.440 0.496 0.052
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.4740 0.5848 0.036 0.728 0.000 0.000 0.092 0.144
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 1 0.6909 0.0419 0.376 0.004 0.000 0.208 0.360 0.052
#> BEE081CA-8420-4314-88A0-286BB30FFD65 5 0.2231 0.5210 0.048 0.012 0.000 0.020 0.912 0.008
#> C464CD1D-4519-48E8-A18A-403F691E5702 5 0.6006 0.5247 0.120 0.064 0.000 0.040 0.664 0.112
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.2653 0.6307 0.844 0.012 0.000 0.000 0.144 0.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 5 0.2998 0.5523 0.032 0.028 0.000 0.008 0.872 0.060
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.1245 0.6304 0.032 0.952 0.000 0.000 0.000 0.016
#> A563359B-0D55-4826-9229-62A89143C1C6 5 0.7707 0.0553 0.300 0.136 0.000 0.044 0.408 0.112
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 6 0.6400 0.1733 0.372 0.096 0.000 0.000 0.076 0.456
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
#> Error in mat[ceiling(1:nr/h_ratio), ceiling(1:nc/w_ratio), drop = FALSE]: subscript out of bounds
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
#> Error in mat[ceiling(1:nr/h_ratio), ceiling(1:nc/w_ratio), drop = FALSE]: subscript out of bounds
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["SD", "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 17109 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 0.679 0.914 0.949 0.4034 0.574 0.574
#> 3 3 0.655 0.828 0.906 0.4330 0.796 0.666
#> 4 4 0.627 0.736 0.868 0.2282 0.739 0.478
#> 5 5 0.632 0.634 0.822 0.0878 0.841 0.532
#> 6 6 0.687 0.658 0.810 0.0521 0.911 0.649
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
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.0000 0.9741 0.000 1.000
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 2 0.0000 0.9741 0.000 1.000
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 2 0.0000 0.9741 0.000 1.000
#> 91202998-760F-4421-B1C4-18639962EDDA 1 0.6973 0.8683 0.812 0.188
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.0000 0.9741 0.000 1.000
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 2 0.0000 0.9741 0.000 1.000
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 2 0.0000 0.9741 0.000 1.000
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.0000 0.9741 0.000 1.000
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.0000 0.9741 0.000 1.000
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.0000 0.9741 0.000 1.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 2 0.8016 0.6343 0.244 0.756
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#> 198A6AD0-79CD-40F5-A622-18AFBE78F2D2 1 0.5519 0.8927 0.872 0.128
#> EEE29DE1-F88C-4184-B499-5E86E2D252C4 1 0.4161 0.8921 0.916 0.084
#> 1E95EA22-BC41-4AAE-AFCC-F9281989A785 2 0.0000 0.9741 0.000 1.000
#> CD3AC0E4-88A9-4084-A2BE-AEE722CF6AA3 2 0.9933 -0.0706 0.452 0.548
#> 8D7FABA2-764D-4795-BB04-D9E69E9792B9 1 0.6712 0.8774 0.824 0.176
#> DAC07889-EE06-46E0-B1F1-833ECC0A48A9 2 0.0000 0.9741 0.000 1.000
#> E7B555A3-567B-4A44-8225-D269E73FB50B 2 0.0000 0.9741 0.000 1.000
#> 3CC95101-C35F-4761-9D41-3C35BD55B37E 2 0.0000 0.9741 0.000 1.000
#> F62E5A69-5E81-4B2A-8CC0-F4D6E188B187 1 0.5842 0.8913 0.860 0.140
#> C650633B-A369-4657-8693-FDFBF22BD34E 1 0.0000 0.8780 1.000 0.000
#> 5E514217-F0DB-49FD-9C5D-EB22628ED297 2 0.0000 0.9741 0.000 1.000
#> 6E1DB9BF-06FE-48B1-A2D8-EF2CE7591364 2 0.0000 0.9741 0.000 1.000
#> C9581CE3-58B6-45B4-B4B7-15F555FD84A4 1 0.3274 0.8894 0.940 0.060
#> F56C26ED-9358-485B-8867-EBA1CAA4E2A7 2 0.0000 0.9741 0.000 1.000
#> 45CA3F9E-40EE-43A4-AE57-FE51D4003844 2 0.0000 0.9741 0.000 1.000
#> 47EFA063-19C1-4E1F-ACE8-68D9BAD0B995 2 0.0000 0.9741 0.000 1.000
#> 8C30EA0F-0DA1-43C7-81AE-DE825A53F114 1 0.0000 0.8780 1.000 0.000
#> 2CE7477C-DD09-4B3A-AD65-C696BE8C9B11 1 0.5946 0.8907 0.856 0.144
#> 4DECB19A-290F-4CEB-BE25-AAF9B9E2B58F 1 0.6712 0.8774 0.824 0.176
#> 3DEA9B14-DF42-43A0-AC4A-32AE7A16218D 2 0.0000 0.9741 0.000 1.000
#> 9F57D45B-C62F-44C5-AB9D-0CB54BBA16F5 2 0.0000 0.9741 0.000 1.000
#> 54ACCFD9-A8D6-4E4C-9097-1A0BE258AA1B 1 0.7219 0.8579 0.800 0.200
#> 9EE67DE9-9B56-4773-8F6A-1036D31F568E 2 0.2043 0.9466 0.032 0.968
#> 1B1C9301-D6D6-4F6B-80A3-3603013AA951 2 0.0938 0.9635 0.012 0.988
#> DDDCDF00-FB0A-477B-891B-2EE5E0C8F61E 1 0.0000 0.8780 1.000 0.000
#> 34A3260D-AC4D-416F-ADF0-24013048BC46 2 0.0000 0.9741 0.000 1.000
#> 671C1840-9C1B-4AC1-9564-78802489F763 1 0.6247 0.8873 0.844 0.156
#> BA4F7841-9FC3-4CE6-ACA5-43FC36641640 1 0.9710 0.5369 0.600 0.400
#> 24A02CE5-28E7-457E-8B90-4EACA528B072 1 0.7299 0.8539 0.796 0.204
#> C7008665-F6DE-48B4-A0E7-6C388B72C609 2 0.0000 0.9741 0.000 1.000
#> 50F984AB-95C1-4D7B-A787-418CBB59D165 2 0.0000 0.9741 0.000 1.000
#> 5FFD2A6A-ED8A-44A9-9FC1-3106341C284A 2 0.0000 0.9741 0.000 1.000
#> 7481630E-5CBA-4A4A-A16F-E327BCEE11D3 2 0.0000 0.9741 0.000 1.000
#> 7B3E6643-C148-4266-A3A3-80BAB713DD3E 2 0.0000 0.9741 0.000 1.000
#> BA8564FA-8D4D-4B2F-A178-63209F887A05 1 0.6712 0.8774 0.824 0.176
#> 2FB578F6-E8B7-434D-9720-D448A26C1EFD 1 0.6247 0.8873 0.844 0.156
#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 2 0.0000 0.9741 0.000 1.000
#> 740FCE46-8A4A-4A6A-B79F-78A63D28E313 2 0.0000 0.9741 0.000 1.000
#> 523A5832-0C42-44A4-A58F-7011C3A567DC 1 0.0000 0.8780 1.000 0.000
#> A2C68C81-7371-4E0C-BFD1-EA868A7C9499 2 0.0000 0.9741 0.000 1.000
#> 2EB7025A-D932-4238-BD60-609B25150029 2 0.2948 0.9290 0.052 0.948
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 2 0.0000 0.9741 0.000 1.000
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 2 0.0000 0.9741 0.000 1.000
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 2 0.0000 0.9741 0.000 1.000
#> F081EA01-ED14-491B-9620-BF8F10A7431D 2 0.0000 0.9741 0.000 1.000
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 2 0.0000 0.9741 0.000 1.000
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 2 0.6887 0.7696 0.184 0.816
#> B54639CE-F721-4908-B758-309F148AD3C2 2 0.0000 0.9741 0.000 1.000
#> EB4294E1-3FBC-495C-A041-829A654B59C5 1 0.0000 0.8780 1.000 0.000
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 2 0.0000 0.9741 0.000 1.000
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.0000 0.9741 0.000 1.000
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 2 0.4690 0.8627 0.100 0.900
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.0000 0.9741 0.000 1.000
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 1 0.4690 0.8935 0.900 0.100
#> D34036E4-1122-42AE-B20F-F4C8515872A0 2 0.0000 0.9741 0.000 1.000
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 2 0.0000 0.9741 0.000 1.000
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 1 0.7219 0.8579 0.800 0.200
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 1 0.0000 0.8780 1.000 0.000
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.0000 0.9741 0.000 1.000
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.0000 0.9741 0.000 1.000
#> F3C13430-405E-432E-8F3E-0DD18E86087E 2 0.0000 0.9741 0.000 1.000
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.0000 0.9741 0.000 1.000
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 1 0.7299 0.8539 0.796 0.204
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.0000 0.9741 0.000 1.000
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.0000 0.9741 0.000 1.000
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 1 0.8608 0.7493 0.716 0.284
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.0000 0.9741 0.000 1.000
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 2 0.3733 0.8984 0.072 0.928
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 2 0.0000 0.9741 0.000 1.000
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 1 0.7219 0.8579 0.800 0.200
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.0000 0.9741 0.000 1.000
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 1 0.0000 0.8780 1.000 0.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 1 0.0000 0.8780 1.000 0.000
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 2 0.0000 0.9741 0.000 1.000
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 2 0.0000 0.9741 0.000 1.000
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.0000 0.9741 0.000 1.000
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 2 0.0000 0.9741 0.000 1.000
#> 343F031B-0095-429D-8212-AD0581DBB05B 2 0.6531 0.7654 0.168 0.832
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 2 0.0000 0.9741 0.000 1.000
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.5629 0.8925 0.868 0.132
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 2 0.0000 0.9741 0.000 1.000
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 2 0.0000 0.9741 0.000 1.000
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 2 0.0000 0.9741 0.000 1.000
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.0000 0.9741 0.000 1.000
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.0000 0.9741 0.000 1.000
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.0000 0.9741 0.000 1.000
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 1 0.0000 0.8780 1.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.7883 0.8172 0.764 0.236
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 1 0.0000 0.8780 1.000 0.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 2 0.0000 0.9741 0.000 1.000
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 1 0.0000 0.8780 1.000 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.0000 0.9741 0.000 1.000
#> FC7821F4-6495-4545-A22A-764BB99B3F79 2 0.0000 0.9741 0.000 1.000
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.0000 0.9741 0.000 1.000
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.0000 0.9741 0.000 1.000
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.0000 0.9741 0.000 1.000
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.0000 0.9741 0.000 1.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 2 0.0000 0.9741 0.000 1.000
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 2 0.0000 0.9741 0.000 1.000
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.0000 0.9741 0.000 1.000
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 1 0.0000 0.8780 1.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 2 0.0000 0.9741 0.000 1.000
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.0000 0.9741 0.000 1.000
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 1 0.0000 0.8780 1.000 0.000
#> BEE081CA-8420-4314-88A0-286BB30FFD65 2 0.2236 0.9431 0.036 0.964
#> C464CD1D-4519-48E8-A18A-403F691E5702 2 0.5737 0.8147 0.136 0.864
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.3584 0.8903 0.932 0.068
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.0000 0.9741 0.000 1.000
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0000 0.9741 0.000 1.000
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.0000 0.8780 1.000 0.000
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.9732 0.5277 0.596 0.404
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.2878 0.885 0.096 0.904 0.000
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 2 0.0747 0.900 0.016 0.984 0.000
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 2 0.0237 0.902 0.004 0.996 0.000
#> 91202998-760F-4421-B1C4-18639962EDDA 1 0.3030 0.862 0.904 0.004 0.092
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.0237 0.902 0.004 0.996 0.000
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 2 0.0592 0.900 0.012 0.988 0.000
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 2 0.4750 0.722 0.216 0.784 0.000
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.0592 0.900 0.012 0.988 0.000
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.0592 0.900 0.012 0.988 0.000
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.0000 0.902 0.000 1.000 0.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 2 0.6079 0.379 0.388 0.612 0.000
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.0592 0.933 0.012 0.000 0.988
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 2 0.0237 0.902 0.004 0.996 0.000
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 2 0.1163 0.898 0.028 0.972 0.000
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0000 0.942 0.000 0.000 1.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.1289 0.901 0.032 0.968 0.000
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.3116 0.862 0.892 0.000 0.108
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 2 0.0592 0.900 0.012 0.988 0.000
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 3 0.5072 0.723 0.012 0.196 0.792
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.0592 0.851 0.988 0.012 0.000
#> D7A50E95-777C-47A6-8F93-031CB4770633 1 0.0892 0.848 0.980 0.020 0.000
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.0237 0.902 0.004 0.996 0.000
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 2 0.5058 0.745 0.244 0.756 0.000
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 1 0.2796 0.866 0.908 0.000 0.092
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.0000 0.902 0.000 1.000 0.000
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 2 0.0592 0.900 0.012 0.988 0.000
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.0237 0.902 0.004 0.996 0.000
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.2878 0.885 0.096 0.904 0.000
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.0000 0.942 0.000 0.000 1.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.1163 0.901 0.028 0.972 0.000
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 2 0.2446 0.877 0.012 0.936 0.052
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 2 0.2959 0.884 0.100 0.900 0.000
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.0424 0.901 0.008 0.992 0.000
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.0237 0.902 0.004 0.996 0.000
#> 2846A3AC-D102-4E37-9B72-139ED727157A 2 0.0237 0.902 0.004 0.996 0.000
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.5621 0.678 0.308 0.692 0.000
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 1 0.0592 0.857 0.988 0.000 0.012
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.3116 0.862 0.892 0.000 0.108
#> 150F5B77-4848-4D68-800A-0A0236C3661F 2 0.0592 0.900 0.012 0.988 0.000
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.0747 0.857 0.984 0.000 0.016
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.0237 0.902 0.004 0.996 0.000
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.0237 0.902 0.004 0.996 0.000
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 1 0.3116 0.862 0.892 0.000 0.108
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 2 0.1525 0.891 0.004 0.964 0.032
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.2878 0.885 0.096 0.904 0.000
#> 1447B543-D3AC-41B5-878F-B382FE49421B 1 0.0747 0.850 0.984 0.016 0.000
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 2 0.3038 0.862 0.104 0.896 0.000
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 2 0.0592 0.900 0.012 0.988 0.000
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.0000 0.942 0.000 0.000 1.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 2 0.3038 0.886 0.104 0.896 0.000
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 2 0.0592 0.900 0.012 0.988 0.000
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.3116 0.862 0.892 0.000 0.108
#> D9225689-21E0-478A-8F79-C26542938B8D 2 0.1711 0.890 0.008 0.960 0.032
#> FC3BA46D-57F6-424C-8D62-16C441035969 2 0.0237 0.902 0.004 0.996 0.000
#> 045CFFE6-4736-42F2-9340-C37690E47882 3 0.0000 0.942 0.000 0.000 1.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 1 0.8712 0.405 0.556 0.312 0.132
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 1 0.5138 0.570 0.748 0.252 0.000
#> E94B217F-C5DC-4F42-8135-E81F338914B5 2 0.6200 0.498 0.012 0.676 0.312
#> AE4C3956-76DF-4059-8D69-3D764F31817F 2 0.0237 0.902 0.004 0.996 0.000
#> 33D6A38E-CD99-437B-99E0-04E72582F777 2 0.0829 0.900 0.012 0.984 0.004
#> 8379051C-5847-42B5-AC5C-A128C166AB97 2 0.9210 0.412 0.184 0.520 0.296
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 2 0.5497 0.709 0.292 0.708 0.000
#> 40A16429-229E-4F40-BFC7-263554438F99 2 0.0592 0.900 0.012 0.988 0.000
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 2 0.0592 0.900 0.012 0.988 0.000
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 2 0.6735 0.275 0.012 0.564 0.424
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 1 0.3816 0.832 0.852 0.000 0.148
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 2 0.6026 0.551 0.376 0.624 0.000
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.2878 0.885 0.096 0.904 0.000
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 2 0.6962 0.293 0.020 0.568 0.412
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 2 0.0592 0.900 0.012 0.988 0.000
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#> 2FB578F6-E8B7-434D-9720-D448A26C1EFD 1 0.2959 0.864 0.900 0.000 0.100
#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 2 0.2959 0.884 0.100 0.900 0.000
#> 740FCE46-8A4A-4A6A-B79F-78A63D28E313 2 0.0237 0.902 0.004 0.996 0.000
#> 523A5832-0C42-44A4-A58F-7011C3A567DC 3 0.0000 0.942 0.000 0.000 1.000
#> A2C68C81-7371-4E0C-BFD1-EA868A7C9499 2 0.2878 0.885 0.096 0.904 0.000
#> 2EB7025A-D932-4238-BD60-609B25150029 2 0.5202 0.711 0.008 0.772 0.220
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 2 0.0592 0.900 0.012 0.988 0.000
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 2 0.0237 0.902 0.004 0.996 0.000
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 2 0.2537 0.890 0.080 0.920 0.000
#> F081EA01-ED14-491B-9620-BF8F10A7431D 2 0.0592 0.900 0.012 0.988 0.000
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 2 0.2878 0.885 0.096 0.904 0.000
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 3 0.3752 0.844 0.096 0.020 0.884
#> B54639CE-F721-4908-B758-309F148AD3C2 2 0.0424 0.901 0.008 0.992 0.000
#> EB4294E1-3FBC-495C-A041-829A654B59C5 3 0.0000 0.942 0.000 0.000 1.000
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 1 0.0747 0.850 0.984 0.016 0.000
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.0237 0.902 0.004 0.996 0.000
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 1 0.2537 0.793 0.920 0.080 0.000
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.0237 0.902 0.004 0.996 0.000
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 1 0.4452 0.767 0.808 0.000 0.192
#> D34036E4-1122-42AE-B20F-F4C8515872A0 2 0.0237 0.902 0.004 0.996 0.000
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 2 0.2878 0.885 0.096 0.904 0.000
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 1 0.3030 0.862 0.904 0.004 0.092
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 3 0.0000 0.942 0.000 0.000 1.000
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.2878 0.885 0.096 0.904 0.000
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.0237 0.902 0.004 0.996 0.000
#> F3C13430-405E-432E-8F3E-0DD18E86087E 2 0.3412 0.829 0.124 0.876 0.000
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.2796 0.887 0.092 0.908 0.000
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 1 0.0592 0.855 0.988 0.000 0.012
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.2878 0.885 0.096 0.904 0.000
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.0592 0.900 0.012 0.988 0.000
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 1 0.1529 0.862 0.960 0.000 0.040
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.1411 0.900 0.036 0.964 0.000
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.0592 0.851 0.988 0.012 0.000
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 1 0.6298 0.393 0.608 0.388 0.004
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 1 0.3038 0.863 0.896 0.000 0.104
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.0237 0.902 0.004 0.996 0.000
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.0000 0.942 0.000 0.000 1.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.0000 0.942 0.000 0.000 1.000
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 2 0.0237 0.902 0.004 0.996 0.000
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 2 0.2878 0.885 0.096 0.904 0.000
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.2959 0.884 0.100 0.900 0.000
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 1 0.0424 0.852 0.992 0.008 0.000
#> 343F031B-0095-429D-8212-AD0581DBB05B 1 0.5178 0.634 0.744 0.256 0.000
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 2 0.0237 0.902 0.004 0.996 0.000
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.0747 0.856 0.984 0.000 0.016
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 2 0.0592 0.900 0.012 0.988 0.000
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 2 0.0592 0.900 0.012 0.988 0.000
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 1 0.0747 0.850 0.984 0.016 0.000
#> F9F33C38-A087-49FF-B994-3C9EE264F448 1 0.6095 0.206 0.608 0.392 0.000
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.2878 0.885 0.096 0.904 0.000
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.2796 0.889 0.092 0.908 0.000
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.0000 0.942 0.000 0.000 1.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.2448 0.866 0.924 0.000 0.076
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.0000 0.942 0.000 0.000 1.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 2 0.4452 0.755 0.192 0.808 0.000
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.0000 0.942 0.000 0.000 1.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.0237 0.902 0.004 0.996 0.000
#> FC7821F4-6495-4545-A22A-764BB99B3F79 2 0.6111 0.447 0.396 0.604 0.000
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.0237 0.902 0.004 0.996 0.000
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.2878 0.885 0.096 0.904 0.000
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.1411 0.902 0.036 0.964 0.000
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.2878 0.885 0.096 0.904 0.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 2 0.6204 0.242 0.424 0.576 0.000
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 2 0.3686 0.815 0.140 0.860 0.000
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.2711 0.888 0.088 0.912 0.000
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0000 0.942 0.000 0.000 1.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 2 0.5138 0.670 0.252 0.748 0.000
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.0592 0.900 0.012 0.988 0.000
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 1 0.3116 0.860 0.892 0.000 0.108
#> BEE081CA-8420-4314-88A0-286BB30FFD65 2 0.5269 0.729 0.016 0.784 0.200
#> C464CD1D-4519-48E8-A18A-403F691E5702 1 0.6869 0.285 0.560 0.424 0.016
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.3116 0.862 0.892 0.000 0.108
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.0237 0.902 0.004 0.996 0.000
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.2878 0.885 0.096 0.904 0.000
#> A563359B-0D55-4826-9229-62A89143C1C6 3 0.5948 0.478 0.360 0.000 0.640
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.1751 0.862 0.960 0.012 0.028
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.0188 0.8494 0.004 0.996 0.000 0.000
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 4 0.0707 0.7663 0.000 0.020 0.000 0.980
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 2 0.4933 0.4631 0.000 0.568 0.000 0.432
#> 91202998-760F-4421-B1C4-18639962EDDA 4 0.4356 0.5605 0.292 0.000 0.000 0.708
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.2469 0.8294 0.000 0.892 0.000 0.108
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 4 0.0336 0.7650 0.000 0.008 0.000 0.992
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 4 0.0000 0.7630 0.000 0.000 0.000 1.000
#> 54337CE9-6F12-4712-8131-4B83F3216343 4 0.2011 0.7584 0.000 0.080 0.000 0.920
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 4 0.4624 0.3961 0.000 0.340 0.000 0.660
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.4431 0.6804 0.000 0.696 0.000 0.304
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 4 0.0336 0.7650 0.000 0.008 0.000 0.992
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.0000 0.9238 0.000 0.000 1.000 0.000
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 2 0.4790 0.5695 0.000 0.620 0.000 0.380
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 2 0.4360 0.7352 0.008 0.744 0.000 0.248
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0000 0.9238 0.000 0.000 1.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.2011 0.8383 0.000 0.920 0.000 0.080
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.0188 0.8934 0.996 0.000 0.004 0.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 4 0.1792 0.7616 0.000 0.068 0.000 0.932
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 4 0.5937 0.4318 0.000 0.052 0.340 0.608
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.0707 0.8858 0.980 0.020 0.000 0.000
#> D7A50E95-777C-47A6-8F93-031CB4770633 1 0.4907 0.3697 0.580 0.420 0.000 0.000
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.4817 0.5548 0.000 0.612 0.000 0.388
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 2 0.1022 0.8399 0.032 0.968 0.000 0.000
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 1 0.4134 0.5947 0.740 0.000 0.000 0.260
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.4040 0.7384 0.000 0.752 0.000 0.248
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 4 0.0188 0.7623 0.000 0.004 0.000 0.996
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.4746 0.5900 0.000 0.632 0.000 0.368
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.0188 0.8494 0.004 0.996 0.000 0.000
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.0000 0.9238 0.000 0.000 1.000 0.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.1940 0.8406 0.000 0.924 0.000 0.076
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 4 0.2081 0.7583 0.000 0.084 0.000 0.916
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 2 0.0657 0.8485 0.012 0.984 0.000 0.004
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.0707 0.8497 0.000 0.980 0.000 0.020
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.2589 0.8258 0.000 0.884 0.000 0.116
#> 2846A3AC-D102-4E37-9B72-139ED727157A 2 0.4406 0.6853 0.000 0.700 0.000 0.300
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.1305 0.8370 0.036 0.960 0.000 0.004
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 1 0.4888 0.1917 0.588 0.000 0.000 0.412
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.0469 0.8898 0.988 0.000 0.000 0.012
#> 150F5B77-4848-4D68-800A-0A0236C3661F 4 0.0336 0.7650 0.000 0.008 0.000 0.992
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.1474 0.8687 0.948 0.052 0.000 0.000
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.1211 0.8469 0.000 0.960 0.000 0.040
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.2408 0.8305 0.000 0.896 0.000 0.104
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 1 0.5004 0.3124 0.604 0.000 0.004 0.392
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 2 0.7688 0.3632 0.000 0.456 0.260 0.284
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.0000 0.8496 0.000 1.000 0.000 0.000
#> 1447B543-D3AC-41B5-878F-B382FE49421B 1 0.2081 0.8454 0.916 0.084 0.000 0.000
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 2 0.2714 0.8291 0.004 0.884 0.000 0.112
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 4 0.3172 0.7223 0.000 0.160 0.000 0.840
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.0000 0.9238 0.000 0.000 1.000 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 4 0.4477 0.6133 0.000 0.312 0.000 0.688
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 4 0.0188 0.7623 0.000 0.004 0.000 0.996
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.0188 0.8934 0.996 0.000 0.004 0.000
#> D9225689-21E0-478A-8F79-C26542938B8D 2 0.5816 0.7141 0.000 0.708 0.148 0.144
#> FC3BA46D-57F6-424C-8D62-16C441035969 2 0.3908 0.7629 0.000 0.784 0.004 0.212
#> 045CFFE6-4736-42F2-9340-C37690E47882 3 0.0000 0.9238 0.000 0.000 1.000 0.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 4 0.0524 0.7616 0.008 0.004 0.000 0.988
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 1 0.3818 0.7659 0.844 0.048 0.000 0.108
#> E94B217F-C5DC-4F42-8135-E81F338914B5 4 0.4866 0.3373 0.000 0.000 0.404 0.596
#> AE4C3956-76DF-4059-8D69-3D764F31817F 2 0.3219 0.8021 0.000 0.836 0.000 0.164
#> 33D6A38E-CD99-437B-99E0-04E72582F777 4 0.4780 0.7011 0.000 0.096 0.116 0.788
#> 8379051C-5847-42B5-AC5C-A128C166AB97 4 0.4944 0.6737 0.004 0.220 0.032 0.744
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 4 0.3726 0.6998 0.000 0.212 0.000 0.788
#> 40A16429-229E-4F40-BFC7-263554438F99 4 0.3074 0.6717 0.000 0.152 0.000 0.848
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 2 0.3873 0.7513 0.000 0.772 0.000 0.228
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 4 0.5732 0.5537 0.000 0.064 0.264 0.672
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 1 0.5513 0.6710 0.736 0.060 0.012 0.192
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 4 0.3732 0.7403 0.056 0.092 0.000 0.852
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.0188 0.8494 0.004 0.996 0.000 0.000
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 4 0.2805 0.7256 0.000 0.012 0.100 0.888
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 4 0.1792 0.7617 0.000 0.068 0.000 0.932
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 2 0.3539 0.7042 0.004 0.820 0.176 0.000
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.0188 0.8494 0.004 0.996 0.000 0.000
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 2 0.4713 0.6032 0.000 0.640 0.000 0.360
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 4 0.0469 0.7658 0.000 0.012 0.000 0.988
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 2 0.0469 0.8474 0.012 0.988 0.000 0.000
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 2 0.3958 0.7622 0.000 0.816 0.160 0.024
#> FDB47AC4-CE6A-428B-9B55-EBCEF1970ACB 4 0.2216 0.7140 0.000 0.000 0.092 0.908
#> 133B7E7B-FD50-48A2-9A35-E6D44FAB976B 2 0.4564 0.6500 0.000 0.672 0.000 0.328
#> E69E45DA-66A6-438A-9BFC-5F1F7F5C5A87 4 0.0000 0.7630 0.000 0.000 0.000 1.000
#> 6E242DF5-8B8B-4C6F-870E-C7ADFFAFDF3E 4 0.4585 0.5229 0.000 0.332 0.000 0.668
#> CB7BBFF1-4BF3-42A9-85C6-680D91503799 4 0.3688 0.6597 0.208 0.000 0.000 0.792
#> 70AA4670-C75B-4E39-8958-3F9C29811871 2 0.0188 0.8494 0.000 0.996 0.004 0.000
#> D63C5178-4FF7-4FD0-B87E-6CBF6E7BEF5B 2 0.0000 0.8496 0.000 1.000 0.000 0.000
#> 814391F8-C5B9-43F6-A330-A6749BB8F16E 4 0.4222 0.6528 0.000 0.272 0.000 0.728
#> 146ED7EA-BF3C-4BAB-B33C-0A668AB13C80 4 0.0000 0.7630 0.000 0.000 0.000 1.000
#> FD5CAFE8-E669-406A-A505-A47DCDC32E93 4 0.0000 0.7630 0.000 0.000 0.000 1.000
#> 4B3C7910-A652-45B5-8218-9002EB0FD9EB 2 0.5596 0.6164 0.000 0.632 0.036 0.332
#> E410F77D-E31F-4D73-ACAC-9245935A92F5 4 0.7556 0.1519 0.192 0.304 0.004 0.500
#> 64336403-9037-480C-873A-67BC77119FA5 2 0.0188 0.8494 0.004 0.996 0.000 0.000
#> 6F9D5013-3B1B-41EE-85DB-E51F5D828DEF 4 0.0000 0.7630 0.000 0.000 0.000 1.000
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#> C7008665-F6DE-48B4-A0E7-6C388B72C609 2 0.2281 0.8330 0.000 0.904 0.000 0.096
#> 50F984AB-95C1-4D7B-A787-418CBB59D165 4 0.6515 0.5142 0.248 0.128 0.000 0.624
#> 5FFD2A6A-ED8A-44A9-9FC1-3106341C284A 2 0.3764 0.7619 0.000 0.784 0.000 0.216
#> 7481630E-5CBA-4A4A-A16F-E327BCEE11D3 1 0.2469 0.8261 0.892 0.108 0.000 0.000
#> 7B3E6643-C148-4266-A3A3-80BAB713DD3E 2 0.2149 0.8355 0.000 0.912 0.000 0.088
#> BA8564FA-8D4D-4B2F-A178-63209F887A05 1 0.0188 0.8934 0.996 0.000 0.004 0.000
#> 2FB578F6-E8B7-434D-9720-D448A26C1EFD 1 0.0188 0.8934 0.996 0.000 0.004 0.000
#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 2 0.0524 0.8496 0.008 0.988 0.000 0.004
#> 740FCE46-8A4A-4A6A-B79F-78A63D28E313 2 0.3444 0.7883 0.000 0.816 0.000 0.184
#> 523A5832-0C42-44A4-A58F-7011C3A567DC 3 0.0000 0.9238 0.000 0.000 1.000 0.000
#> A2C68C81-7371-4E0C-BFD1-EA868A7C9499 2 0.0188 0.8494 0.004 0.996 0.000 0.000
#> 2EB7025A-D932-4238-BD60-609B25150029 4 0.5872 0.2146 0.000 0.040 0.384 0.576
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 2 0.4477 0.6604 0.000 0.688 0.000 0.312
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 2 0.2973 0.8138 0.000 0.856 0.000 0.144
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 2 0.0336 0.8490 0.000 0.992 0.000 0.008
#> F081EA01-ED14-491B-9620-BF8F10A7431D 4 0.4948 -0.0811 0.000 0.440 0.000 0.560
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 2 0.0188 0.8494 0.004 0.996 0.000 0.000
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 4 0.5269 0.4082 0.000 0.016 0.364 0.620
#> B54639CE-F721-4908-B758-309F148AD3C2 2 0.4790 0.5695 0.000 0.620 0.000 0.380
#> EB4294E1-3FBC-495C-A041-829A654B59C5 3 0.0000 0.9238 0.000 0.000 1.000 0.000
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 1 0.1637 0.8628 0.940 0.060 0.000 0.000
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.2589 0.8258 0.000 0.884 0.000 0.116
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 2 0.2469 0.7861 0.108 0.892 0.000 0.000
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.2149 0.8355 0.000 0.912 0.000 0.088
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 1 0.7519 0.2693 0.480 0.208 0.312 0.000
#> D34036E4-1122-42AE-B20F-F4C8515872A0 2 0.2868 0.8161 0.000 0.864 0.000 0.136
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 2 0.0188 0.8494 0.004 0.996 0.000 0.000
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 4 0.4431 0.5419 0.304 0.000 0.000 0.696
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 3 0.0000 0.9238 0.000 0.000 1.000 0.000
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.0188 0.8494 0.004 0.996 0.000 0.000
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.2589 0.8258 0.000 0.884 0.000 0.116
#> F3C13430-405E-432E-8F3E-0DD18E86087E 2 0.4406 0.6854 0.000 0.700 0.000 0.300
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.0000 0.8496 0.000 1.000 0.000 0.000
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 1 0.0592 0.8885 0.984 0.016 0.000 0.000
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.0188 0.8494 0.004 0.996 0.000 0.000
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.3975 0.5803 0.000 0.760 0.000 0.240
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 1 0.1004 0.8857 0.972 0.024 0.000 0.004
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.2469 0.8300 0.000 0.892 0.000 0.108
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.3266 0.7739 0.832 0.168 0.000 0.000
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 4 0.0188 0.7623 0.000 0.004 0.000 0.996
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 1 0.0188 0.8934 0.996 0.000 0.004 0.000
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.3428 0.8107 0.000 0.844 0.012 0.144
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.0000 0.9238 0.000 0.000 1.000 0.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.0000 0.9238 0.000 0.000 1.000 0.000
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 2 0.4830 0.5474 0.000 0.608 0.000 0.392
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 2 0.3791 0.6497 0.004 0.796 0.000 0.200
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.0188 0.8494 0.004 0.996 0.000 0.000
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 4 0.5775 0.5955 0.212 0.092 0.000 0.696
#> 343F031B-0095-429D-8212-AD0581DBB05B 4 0.1022 0.7626 0.032 0.000 0.000 0.968
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 2 0.4776 0.5762 0.000 0.624 0.000 0.376
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.0000 0.8932 1.000 0.000 0.000 0.000
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 4 0.2011 0.7585 0.000 0.080 0.000 0.920
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 4 0.3528 0.6148 0.000 0.192 0.000 0.808
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 1 0.3726 0.7220 0.788 0.212 0.000 0.000
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.1792 0.8176 0.068 0.932 0.000 0.000
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.0188 0.8494 0.004 0.996 0.000 0.000
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.4855 0.1234 0.000 0.600 0.000 0.400
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.0000 0.9238 0.000 0.000 1.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.0000 0.8932 1.000 0.000 0.000 0.000
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.0000 0.9238 0.000 0.000 1.000 0.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 4 0.0336 0.7650 0.000 0.008 0.000 0.992
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.0000 0.9238 0.000 0.000 1.000 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.1557 0.8440 0.000 0.944 0.000 0.056
#> FC7821F4-6495-4545-A22A-764BB99B3F79 2 0.0469 0.8474 0.012 0.988 0.000 0.000
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.4697 0.6093 0.000 0.644 0.000 0.356
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.0188 0.8490 0.000 0.996 0.000 0.004
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 4 0.4331 0.6418 0.000 0.288 0.000 0.712
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.0188 0.8494 0.004 0.996 0.000 0.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 1 0.7287 0.1130 0.464 0.152 0.000 0.384
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 4 0.0000 0.7630 0.000 0.000 0.000 1.000
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.0817 0.8494 0.000 0.976 0.000 0.024
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0000 0.9238 0.000 0.000 1.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 4 0.0188 0.7623 0.000 0.004 0.000 0.996
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 4 0.1716 0.7625 0.000 0.064 0.000 0.936
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 4 0.4776 0.4141 0.376 0.000 0.000 0.624
#> BEE081CA-8420-4314-88A0-286BB30FFD65 4 0.0000 0.7630 0.000 0.000 0.000 1.000
#> C464CD1D-4519-48E8-A18A-403F691E5702 1 0.5110 0.6740 0.764 0.132 0.000 0.104
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.0188 0.8934 0.996 0.000 0.004 0.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.4134 0.7253 0.000 0.740 0.000 0.260
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0188 0.8494 0.004 0.996 0.000 0.000
#> A563359B-0D55-4826-9229-62A89143C1C6 3 0.5746 0.4774 0.040 0.348 0.612 0.000
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.0336 0.8916 0.992 0.008 0.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.3317 0.7032 0.032 0.848 0.000 0.112 0.008
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 4 0.2424 0.7489 0.000 0.000 0.000 0.868 0.132
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 5 0.1357 0.6653 0.004 0.048 0.000 0.000 0.948
#> 91202998-760F-4421-B1C4-18639962EDDA 4 0.2516 0.7417 0.000 0.000 0.000 0.860 0.140
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.3612 0.6532 0.000 0.732 0.000 0.000 0.268
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 5 0.4192 0.0568 0.000 0.000 0.000 0.404 0.596
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 4 0.4249 0.2711 0.000 0.000 0.000 0.568 0.432
#> 54337CE9-6F12-4712-8131-4B83F3216343 5 0.4890 -0.1020 0.000 0.024 0.000 0.452 0.524
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 5 0.2959 0.6031 0.000 0.036 0.000 0.100 0.864
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 5 0.3999 0.3934 0.000 0.344 0.000 0.000 0.656
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 4 0.3876 0.6053 0.000 0.000 0.000 0.684 0.316
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.1478 0.8898 0.000 0.000 0.936 0.064 0.000
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 5 0.2732 0.6582 0.000 0.160 0.000 0.000 0.840
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 2 0.4482 0.4687 0.012 0.612 0.000 0.000 0.376
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0000 0.9531 0.000 0.000 1.000 0.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.2471 0.7580 0.000 0.864 0.000 0.000 0.136
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.0000 0.8332 1.000 0.000 0.000 0.000 0.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 4 0.1732 0.7608 0.000 0.000 0.000 0.920 0.080
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 4 0.0451 0.7732 0.000 0.004 0.000 0.988 0.008
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.4166 0.4449 0.648 0.348 0.000 0.000 0.004
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.4065 0.5653 0.224 0.752 0.000 0.008 0.016
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 5 0.2690 0.6613 0.000 0.156 0.000 0.000 0.844
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 2 0.1403 0.7908 0.024 0.952 0.000 0.000 0.024
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 4 0.3777 0.6143 0.192 0.004 0.000 0.784 0.020
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.4307 0.1514 0.000 0.500 0.000 0.000 0.500
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 5 0.0771 0.6430 0.000 0.004 0.000 0.020 0.976
#> 1139D935-739E-4C42-BFCB-06021A85932E 5 0.3074 0.6287 0.000 0.196 0.000 0.000 0.804
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.4290 0.4761 0.000 0.680 0.000 0.304 0.016
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.0000 0.9531 0.000 0.000 1.000 0.000 0.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.3424 0.6828 0.000 0.760 0.000 0.000 0.240
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 4 0.0404 0.7749 0.000 0.000 0.000 0.988 0.012
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 2 0.2424 0.7653 0.000 0.868 0.000 0.000 0.132
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.3519 0.6342 0.000 0.776 0.000 0.216 0.008
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.3561 0.6573 0.000 0.740 0.000 0.000 0.260
#> 2846A3AC-D102-4E37-9B72-139ED727157A 5 0.4045 0.3807 0.000 0.356 0.000 0.000 0.644
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.2144 0.7744 0.068 0.912 0.000 0.000 0.020
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 4 0.4155 0.6864 0.144 0.000 0.000 0.780 0.076
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.3562 0.6775 0.788 0.000 0.000 0.196 0.016
#> 150F5B77-4848-4D68-800A-0A0236C3661F 5 0.3635 0.3652 0.000 0.004 0.000 0.248 0.748
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.3266 0.7241 0.796 0.200 0.000 0.000 0.004
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.2929 0.7355 0.000 0.820 0.000 0.000 0.180
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.3242 0.7009 0.000 0.784 0.000 0.000 0.216
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 1 0.5365 0.5138 0.664 0.000 0.000 0.132 0.204
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 5 0.4935 0.3229 0.000 0.040 0.344 0.000 0.616
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.1671 0.7839 0.000 0.924 0.000 0.000 0.076
#> 1447B543-D3AC-41B5-878F-B382FE49421B 1 0.3426 0.7849 0.852 0.052 0.000 0.084 0.012
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 2 0.3970 0.6748 0.020 0.744 0.000 0.000 0.236
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 4 0.2249 0.7602 0.000 0.008 0.000 0.896 0.096
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.0000 0.9531 0.000 0.000 1.000 0.000 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 4 0.0671 0.7698 0.000 0.004 0.000 0.980 0.016
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 5 0.3949 0.3601 0.000 0.000 0.000 0.332 0.668
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.0290 0.8324 0.992 0.000 0.000 0.008 0.000
#> D9225689-21E0-478A-8F79-C26542938B8D 2 0.7650 0.1051 0.000 0.372 0.300 0.048 0.280
#> FC3BA46D-57F6-424C-8D62-16C441035969 5 0.4238 0.3194 0.000 0.368 0.004 0.000 0.628
#> 045CFFE6-4736-42F2-9340-C37690E47882 3 0.0000 0.9531 0.000 0.000 1.000 0.000 0.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 5 0.0963 0.6300 0.000 0.000 0.000 0.036 0.964
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 5 0.6476 0.1110 0.204 0.320 0.000 0.000 0.476
#> E94B217F-C5DC-4F42-8135-E81F338914B5 4 0.6000 0.0589 0.000 0.004 0.444 0.456 0.096
#> AE4C3956-76DF-4059-8D69-3D764F31817F 2 0.4114 0.4807 0.000 0.624 0.000 0.000 0.376
#> 33D6A38E-CD99-437B-99E0-04E72582F777 4 0.0510 0.7749 0.000 0.000 0.000 0.984 0.016
#> 8379051C-5847-42B5-AC5C-A128C166AB97 4 0.0404 0.7723 0.000 0.000 0.000 0.988 0.012
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 4 0.0290 0.7745 0.000 0.000 0.000 0.992 0.008
#> 40A16429-229E-4F40-BFC7-263554438F99 5 0.3489 0.6723 0.000 0.144 0.000 0.036 0.820
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 5 0.3430 0.6018 0.000 0.220 0.004 0.000 0.776
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 5 0.6296 -0.2076 0.000 0.000 0.152 0.408 0.440
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 4 0.2692 0.7301 0.092 0.008 0.000 0.884 0.016
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 4 0.0510 0.7752 0.000 0.000 0.000 0.984 0.016
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.1043 0.7901 0.000 0.960 0.000 0.000 0.040
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 4 0.0794 0.7752 0.000 0.000 0.000 0.972 0.028
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 4 0.1608 0.7627 0.000 0.000 0.000 0.928 0.072
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 2 0.3763 0.6974 0.000 0.832 0.096 0.056 0.016
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.0162 0.7872 0.000 0.996 0.000 0.000 0.004
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 5 0.3395 0.5839 0.000 0.236 0.000 0.000 0.764
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#> 0BA34100-8588-47B5-A962-4BD1916645B6 1 0.0566 0.8305 0.984 0.000 0.000 0.004 0.012
#> 9CE2E8D4-1AD1-4546-AD5D-D58193F79096 5 0.6072 -0.1534 0.124 0.000 0.000 0.392 0.484
#> 92D7DB12-B0E0-4072-98FB-34B112E7728D 3 0.0000 0.9531 0.000 0.000 1.000 0.000 0.000
#> 79FD2101-0A9A-4EA7-A773-5EA8693138D0 2 0.3999 0.5340 0.000 0.656 0.000 0.000 0.344
#> A3A8937A-0B0B-4A68-AE68-81DA9CF7F4FB 5 0.4637 -0.1536 0.012 0.000 0.000 0.452 0.536
#> 3EB3C0F8-4CBC-41A7-81E4-4D8A565441A7 4 0.0609 0.7754 0.000 0.000 0.000 0.980 0.020
#> 77EE3B54-FD7A-4ACF-879C-31667ADCCC5B 2 0.2329 0.7650 0.000 0.876 0.000 0.000 0.124
#> 327B2123-6DD8-4263-87DE-EE917E911DD4 4 0.2732 0.7373 0.000 0.000 0.000 0.840 0.160
#> 198A6AD0-79CD-40F5-A622-18AFBE78F2D2 1 0.0451 0.8320 0.988 0.000 0.000 0.004 0.008
#> EEE29DE1-F88C-4184-B499-5E86E2D252C4 4 0.4420 0.0615 0.448 0.000 0.000 0.548 0.004
#> 1E95EA22-BC41-4AAE-AFCC-F9281989A785 5 0.6708 -0.0709 0.372 0.000 0.000 0.244 0.384
#> CD3AC0E4-88A9-4084-A2BE-AEE722CF6AA3 1 0.3452 0.6631 0.756 0.244 0.000 0.000 0.000
#> 8D7FABA2-764D-4795-BB04-D9E69E9792B9 1 0.0162 0.8332 0.996 0.004 0.000 0.000 0.000
#> DAC07889-EE06-46E0-B1F1-833ECC0A48A9 2 0.0771 0.7906 0.000 0.976 0.000 0.004 0.020
#> E7B555A3-567B-4A44-8225-D269E73FB50B 5 0.2769 0.6527 0.000 0.032 0.092 0.000 0.876
#> 3CC95101-C35F-4761-9D41-3C35BD55B37E 2 0.4740 0.1077 0.000 0.516 0.000 0.468 0.016
#> F62E5A69-5E81-4B2A-8CC0-F4D6E188B187 1 0.6686 0.4924 0.540 0.204 0.000 0.236 0.020
#> C650633B-A369-4657-8693-FDFBF22BD34E 3 0.0865 0.9260 0.000 0.024 0.972 0.004 0.000
#> 5E514217-F0DB-49FD-9C5D-EB22628ED297 2 0.3980 0.6204 0.000 0.708 0.000 0.008 0.284
#> 6E1DB9BF-06FE-48B1-A2D8-EF2CE7591364 2 0.0963 0.7885 0.000 0.964 0.000 0.000 0.036
#> C9581CE3-58B6-45B4-B4B7-15F555FD84A4 4 0.1043 0.7752 0.000 0.000 0.000 0.960 0.040
#> F56C26ED-9358-485B-8867-EBA1CAA4E2A7 2 0.1571 0.7887 0.004 0.936 0.000 0.000 0.060
#> 45CA3F9E-40EE-43A4-AE57-FE51D4003844 5 0.5593 0.3809 0.000 0.340 0.000 0.088 0.572
#> 47EFA063-19C1-4E1F-ACE8-68D9BAD0B995 1 0.4789 0.3043 0.580 0.400 0.000 0.004 0.016
#> 8C30EA0F-0DA1-43C7-81AE-DE825A53F114 3 0.0000 0.9531 0.000 0.000 1.000 0.000 0.000
#> 2CE7477C-DD09-4B3A-AD65-C696BE8C9B11 1 0.0162 0.8329 0.996 0.000 0.000 0.000 0.004
#> 4DECB19A-290F-4CEB-BE25-AAF9B9E2B58F 1 0.0000 0.8332 1.000 0.000 0.000 0.000 0.000
#> 3DEA9B14-DF42-43A0-AC4A-32AE7A16218D 5 0.0963 0.6596 0.000 0.036 0.000 0.000 0.964
#> 9F57D45B-C62F-44C5-AB9D-0CB54BBA16F5 2 0.4675 0.3852 0.004 0.620 0.000 0.360 0.016
#> 54ACCFD9-A8D6-4E4C-9097-1A0BE258AA1B 1 0.0932 0.8306 0.972 0.020 0.000 0.004 0.004
#> 9EE67DE9-9B56-4773-8F6A-1036D31F568E 4 0.0290 0.7745 0.000 0.000 0.000 0.992 0.008
#> 1B1C9301-D6D6-4F6B-80A3-3603013AA951 2 0.4774 0.4474 0.000 0.644 0.012 0.328 0.016
#> DDDCDF00-FB0A-477B-891B-2EE5E0C8F61E 3 0.0000 0.9531 0.000 0.000 1.000 0.000 0.000
#> 34A3260D-AC4D-416F-ADF0-24013048BC46 2 0.3216 0.7729 0.044 0.848 0.000 0.000 0.108
#> 671C1840-9C1B-4AC1-9564-78802489F763 1 0.0000 0.8332 1.000 0.000 0.000 0.000 0.000
#> BA4F7841-9FC3-4CE6-ACA5-43FC36641640 2 0.6056 0.3896 0.144 0.620 0.000 0.220 0.016
#> 24A02CE5-28E7-457E-8B90-4EACA528B072 1 0.0162 0.8332 0.996 0.004 0.000 0.000 0.000
#> C7008665-F6DE-48B4-A0E7-6C388B72C609 2 0.3109 0.7141 0.000 0.800 0.000 0.000 0.200
#> 50F984AB-95C1-4D7B-A787-418CBB59D165 4 0.0290 0.7712 0.000 0.000 0.000 0.992 0.008
#> 5FFD2A6A-ED8A-44A9-9FC1-3106341C284A 5 0.3999 0.3949 0.000 0.344 0.000 0.000 0.656
#> 7481630E-5CBA-4A4A-A16F-E327BCEE11D3 1 0.4430 0.1848 0.540 0.456 0.000 0.000 0.004
#> 7B3E6643-C148-4266-A3A3-80BAB713DD3E 2 0.2377 0.7628 0.000 0.872 0.000 0.000 0.128
#> BA8564FA-8D4D-4B2F-A178-63209F887A05 1 0.0566 0.8318 0.984 0.012 0.004 0.000 0.000
#> 2FB578F6-E8B7-434D-9720-D448A26C1EFD 1 0.1732 0.8031 0.920 0.080 0.000 0.000 0.000
#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 2 0.1732 0.7830 0.000 0.920 0.000 0.000 0.080
#> 740FCE46-8A4A-4A6A-B79F-78A63D28E313 2 0.4235 0.3749 0.000 0.576 0.000 0.000 0.424
#> 523A5832-0C42-44A4-A58F-7011C3A567DC 3 0.0000 0.9531 0.000 0.000 1.000 0.000 0.000
#> A2C68C81-7371-4E0C-BFD1-EA868A7C9499 2 0.0671 0.7832 0.000 0.980 0.000 0.004 0.016
#> 2EB7025A-D932-4238-BD60-609B25150029 5 0.2840 0.6400 0.004 0.012 0.108 0.004 0.872
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 5 0.3210 0.6134 0.000 0.212 0.000 0.000 0.788
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 2 0.3992 0.6469 0.012 0.720 0.000 0.000 0.268
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 2 0.3151 0.7071 0.000 0.836 0.000 0.144 0.020
#> F081EA01-ED14-491B-9620-BF8F10A7431D 5 0.2723 0.6815 0.000 0.124 0.000 0.012 0.864
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 2 0.0703 0.7899 0.000 0.976 0.000 0.000 0.024
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 4 0.0162 0.7723 0.000 0.004 0.000 0.996 0.000
#> B54639CE-F721-4908-B758-309F148AD3C2 5 0.2929 0.6436 0.000 0.180 0.000 0.000 0.820
#> EB4294E1-3FBC-495C-A041-829A654B59C5 3 0.0000 0.9531 0.000 0.000 1.000 0.000 0.000
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 1 0.4276 0.3953 0.616 0.380 0.000 0.000 0.004
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.3242 0.7006 0.000 0.784 0.000 0.000 0.216
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 2 0.2848 0.6995 0.156 0.840 0.000 0.000 0.004
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.3109 0.7146 0.000 0.800 0.000 0.000 0.200
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 2 0.4654 0.4949 0.256 0.704 0.028 0.000 0.012
#> D34036E4-1122-42AE-B20F-F4C8515872A0 2 0.3895 0.5792 0.000 0.680 0.000 0.000 0.320
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 2 0.3456 0.6551 0.000 0.800 0.000 0.184 0.016
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 4 0.3690 0.6982 0.020 0.000 0.000 0.780 0.200
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 3 0.0000 0.9531 0.000 0.000 1.000 0.000 0.000
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.0693 0.7818 0.000 0.980 0.000 0.008 0.012
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.3612 0.6474 0.000 0.732 0.000 0.000 0.268
#> F3C13430-405E-432E-8F3E-0DD18E86087E 2 0.4597 0.3535 0.012 0.564 0.000 0.000 0.424
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.0880 0.7900 0.000 0.968 0.000 0.000 0.032
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 1 0.0613 0.8323 0.984 0.004 0.000 0.008 0.004
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.0703 0.7900 0.000 0.976 0.000 0.000 0.024
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 4 0.4872 0.1111 0.000 0.436 0.000 0.540 0.024
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 1 0.3675 0.7486 0.828 0.004 0.000 0.100 0.068
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.3160 0.7249 0.004 0.808 0.000 0.000 0.188
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 2 0.4268 0.1411 0.444 0.556 0.000 0.000 0.000
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 5 0.1872 0.6145 0.020 0.000 0.000 0.052 0.928
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 1 0.0486 0.8332 0.988 0.004 0.000 0.004 0.004
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.5273 0.4553 0.000 0.588 0.060 0.000 0.352
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.0000 0.9531 0.000 0.000 1.000 0.000 0.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.0000 0.9531 0.000 0.000 1.000 0.000 0.000
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 5 0.2773 0.6561 0.000 0.164 0.000 0.000 0.836
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 2 0.4583 0.5287 0.000 0.672 0.000 0.296 0.032
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.0451 0.7867 0.008 0.988 0.000 0.000 0.004
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 4 0.0162 0.7738 0.000 0.000 0.000 0.996 0.004
#> 343F031B-0095-429D-8212-AD0581DBB05B 4 0.3837 0.6103 0.000 0.000 0.000 0.692 0.308
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 5 0.2891 0.6462 0.000 0.176 0.000 0.000 0.824
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.4430 0.6158 0.708 0.020 0.000 0.264 0.008
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 4 0.1043 0.7723 0.000 0.000 0.000 0.960 0.040
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 5 0.2795 0.6758 0.000 0.100 0.000 0.028 0.872
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 2 0.4553 0.3849 0.328 0.652 0.000 0.004 0.016
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.3141 0.7040 0.152 0.832 0.000 0.000 0.016
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.0510 0.7841 0.000 0.984 0.000 0.000 0.016
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 4 0.4689 0.1837 0.000 0.424 0.000 0.560 0.016
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.0000 0.9531 0.000 0.000 1.000 0.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.0000 0.8332 1.000 0.000 0.000 0.000 0.000
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.0000 0.9531 0.000 0.000 1.000 0.000 0.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 4 0.4030 0.5550 0.000 0.000 0.000 0.648 0.352
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.0000 0.9531 0.000 0.000 1.000 0.000 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.2389 0.7679 0.000 0.880 0.000 0.004 0.116
#> FC7821F4-6495-4545-A22A-764BB99B3F79 2 0.0912 0.7889 0.016 0.972 0.000 0.000 0.012
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 5 0.3783 0.5616 0.000 0.252 0.000 0.008 0.740
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 4 0.4822 0.2741 0.004 0.416 0.000 0.564 0.016
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 4 0.2408 0.7242 0.000 0.092 0.000 0.892 0.016
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.0324 0.7846 0.000 0.992 0.000 0.004 0.004
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 5 0.4378 0.5105 0.248 0.036 0.000 0.000 0.716
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 5 0.4283 -0.1576 0.000 0.000 0.000 0.456 0.544
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.2389 0.7696 0.004 0.880 0.000 0.000 0.116
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0000 0.9531 0.000 0.000 1.000 0.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 5 0.0963 0.6269 0.000 0.000 0.000 0.036 0.964
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 4 0.3932 0.4749 0.000 0.000 0.000 0.672 0.328
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 4 0.3583 0.7038 0.004 0.000 0.012 0.792 0.192
#> BEE081CA-8420-4314-88A0-286BB30FFD65 5 0.4403 0.0508 0.000 0.000 0.008 0.384 0.608
#> C464CD1D-4519-48E8-A18A-403F691E5702 2 0.6500 0.1291 0.404 0.408 0.000 0.000 0.188
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.0000 0.8332 1.000 0.000 0.000 0.000 0.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 5 0.3210 0.5539 0.000 0.212 0.000 0.000 0.788
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0404 0.7888 0.000 0.988 0.000 0.000 0.012
#> A563359B-0D55-4826-9229-62A89143C1C6 3 0.4902 0.2676 0.012 0.396 0.580 0.000 0.012
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.1732 0.8057 0.920 0.080 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
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 6 0.7143 0.27860 0.132 0.276 0.000 0.032 0.076 0.484
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 6 0.4819 0.21748 0.000 0.000 0.000 0.416 0.056 0.528
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 5 0.0951 0.70152 0.000 0.020 0.000 0.008 0.968 0.004
#> 91202998-760F-4421-B1C4-18639962EDDA 4 0.3847 0.08226 0.000 0.000 0.000 0.544 0.000 0.456
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.3384 0.75557 0.000 0.812 0.000 0.068 0.120 0.000
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 5 0.4707 0.47229 0.000 0.000 0.000 0.112 0.672 0.216
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 6 0.4371 0.51015 0.000 0.000 0.000 0.036 0.344 0.620
#> 54337CE9-6F12-4712-8131-4B83F3216343 6 0.7242 0.15423 0.000 0.124 0.000 0.184 0.296 0.396
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 5 0.4531 0.42096 0.000 0.036 0.000 0.352 0.608 0.004
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 5 0.3163 0.60822 0.000 0.232 0.000 0.000 0.764 0.004
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 4 0.1863 0.67564 0.000 0.000 0.000 0.920 0.036 0.044
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.1152 0.92105 0.000 0.000 0.952 0.004 0.000 0.044
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 5 0.1155 0.70374 0.000 0.036 0.000 0.004 0.956 0.004
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 2 0.5771 0.28831 0.188 0.476 0.000 0.000 0.336 0.000
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0000 0.97035 0.000 0.000 1.000 0.000 0.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.1700 0.81257 0.000 0.916 0.000 0.004 0.080 0.000
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.0363 0.83108 0.988 0.000 0.000 0.012 0.000 0.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 6 0.2826 0.77724 0.000 0.000 0.000 0.092 0.052 0.856
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 6 0.1321 0.78744 0.000 0.004 0.000 0.020 0.024 0.952
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.3384 0.64044 0.760 0.228 0.000 0.008 0.004 0.000
#> D7A50E95-777C-47A6-8F93-031CB4770633 1 0.6451 0.28171 0.460 0.344 0.000 0.036 0.004 0.156
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 5 0.1528 0.70737 0.000 0.048 0.000 0.016 0.936 0.000
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 2 0.0937 0.81885 0.000 0.960 0.000 0.000 0.040 0.000
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 4 0.4504 0.25750 0.024 0.000 0.000 0.540 0.004 0.432
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 5 0.3528 0.52553 0.000 0.296 0.000 0.004 0.700 0.000
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 5 0.1434 0.69218 0.000 0.008 0.000 0.024 0.948 0.020
#> 1139D935-739E-4C42-BFCB-06021A85932E 5 0.2212 0.69343 0.000 0.112 0.000 0.008 0.880 0.000
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.3604 0.69027 0.000 0.788 0.000 0.036 0.008 0.168
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.0146 0.96923 0.000 0.000 0.996 0.004 0.000 0.000
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#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.1223 0.81399 0.004 0.960 0.000 0.012 0.008 0.016
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 6 0.1895 0.78337 0.000 0.000 0.000 0.072 0.016 0.912
#> 343F031B-0095-429D-8212-AD0581DBB05B 4 0.2197 0.67075 0.000 0.000 0.000 0.900 0.056 0.044
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 5 0.1757 0.70395 0.000 0.076 0.000 0.008 0.916 0.000
#> 03A226C5-398D-41D2-BB72-C97A373CD512 4 0.5987 0.27391 0.296 0.008 0.000 0.524 0.008 0.164
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 6 0.1563 0.78762 0.000 0.000 0.000 0.012 0.056 0.932
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 5 0.3470 0.63773 0.008 0.012 0.000 0.148 0.812 0.020
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 2 0.4788 0.29095 0.384 0.572 0.000 0.008 0.004 0.032
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.4588 0.55651 0.280 0.672 0.000 0.016 0.016 0.016
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.2190 0.80892 0.000 0.900 0.000 0.060 0.040 0.000
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 6 0.1924 0.76197 0.000 0.048 0.000 0.028 0.004 0.920
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.0000 0.97035 0.000 0.000 1.000 0.000 0.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.0260 0.83202 0.992 0.000 0.000 0.008 0.000 0.000
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.0146 0.96923 0.000 0.000 0.996 0.004 0.000 0.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 4 0.5209 0.24801 0.000 0.000 0.000 0.564 0.324 0.112
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.0000 0.97035 0.000 0.000 1.000 0.000 0.000 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.1471 0.81331 0.000 0.932 0.000 0.004 0.064 0.000
#> FC7821F4-6495-4545-A22A-764BB99B3F79 2 0.1375 0.81785 0.028 0.952 0.000 0.008 0.004 0.008
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 5 0.2126 0.70028 0.000 0.072 0.000 0.004 0.904 0.020
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 4 0.4688 0.26465 0.000 0.400 0.000 0.560 0.008 0.032
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 4 0.6632 0.37733 0.000 0.112 0.000 0.516 0.120 0.252
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.1921 0.80423 0.000 0.920 0.000 0.012 0.012 0.056
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 5 0.3947 0.57210 0.228 0.036 0.000 0.004 0.732 0.000
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 5 0.5582 0.03714 0.000 0.000 0.000 0.380 0.476 0.144
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.3189 0.78557 0.008 0.844 0.000 0.016 0.112 0.020
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0000 0.97035 0.000 0.000 1.000 0.000 0.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 5 0.3979 0.42546 0.000 0.012 0.000 0.360 0.628 0.000
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 6 0.4358 0.68821 0.000 0.000 0.000 0.100 0.184 0.716
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 4 0.2846 0.64898 0.000 0.000 0.004 0.840 0.016 0.140
#> BEE081CA-8420-4314-88A0-286BB30FFD65 5 0.5753 0.17485 0.000 0.000 0.060 0.404 0.488 0.048
#> C464CD1D-4519-48E8-A18A-403F691E5702 2 0.6807 0.16449 0.032 0.488 0.028 0.172 0.280 0.000
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.0146 0.83182 0.996 0.000 0.000 0.000 0.004 0.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 5 0.5308 0.49444 0.000 0.164 0.000 0.244 0.592 0.000
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0000 0.81739 0.000 1.000 0.000 0.000 0.000 0.000
#> A563359B-0D55-4826-9229-62A89143C1C6 3 0.3733 0.52510 0.000 0.288 0.700 0.000 0.004 0.008
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.0993 0.82670 0.964 0.024 0.000 0.012 0.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["CV", "hclust"]
# you can also extract it by
# res = res_list["CV:hclust"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#> On a matrix with 17109 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 0.703 0.871 0.932 0.316 0.670 0.670
#> 3 3 0.657 0.793 0.890 0.126 0.985 0.977
#> 4 4 0.600 0.756 0.869 0.125 0.977 0.966
#> 5 5 0.412 0.700 0.816 0.181 0.980 0.970
#> 6 6 0.343 0.614 0.748 0.185 0.954 0.928
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
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.2423 0.9346 0.040 0.960
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 2 0.0672 0.9504 0.008 0.992
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 2 0.0938 0.9491 0.012 0.988
#> 91202998-760F-4421-B1C4-18639962EDDA 2 0.2603 0.9313 0.044 0.956
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.0938 0.9498 0.012 0.988
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 2 0.0376 0.9507 0.004 0.996
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 2 0.0376 0.9512 0.004 0.996
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.0000 0.9515 0.000 1.000
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.0000 0.9515 0.000 1.000
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.0000 0.9515 0.000 1.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 2 0.3114 0.9210 0.056 0.944
#> 784B2359-6064-4FAA-9311-7A852F061FBB 2 0.0000 0.9515 0.000 1.000
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 2 0.0000 0.9515 0.000 1.000
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 2 0.2778 0.9257 0.048 0.952
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 1 0.2778 0.8388 0.952 0.048
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.1184 0.9483 0.016 0.984
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.6438 0.8126 0.836 0.164
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 2 0.0000 0.9515 0.000 1.000
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 2 0.0000 0.9515 0.000 1.000
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.9795 0.5135 0.584 0.416
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.0000 0.9515 0.000 1.000
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.0000 0.9515 0.000 1.000
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 2 0.2603 0.9327 0.044 0.956
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 1 0.9044 0.6836 0.680 0.320
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.0000 0.9515 0.000 1.000
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 2 0.0000 0.9515 0.000 1.000
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.0000 0.9515 0.000 1.000
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.0000 0.9515 0.000 1.000
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 1 0.2603 0.8368 0.956 0.044
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.2778 0.9257 0.048 0.952
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 2 0.0000 0.9515 0.000 1.000
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 2 0.2043 0.9409 0.032 0.968
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.0000 0.9515 0.000 1.000
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.0000 0.9515 0.000 1.000
#> 2846A3AC-D102-4E37-9B72-139ED727157A 2 0.2948 0.9243 0.052 0.948
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.1843 0.9415 0.028 0.972
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 2 0.3274 0.9182 0.060 0.940
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.6438 0.8124 0.836 0.164
#> 150F5B77-4848-4D68-800A-0A0236C3661F 2 0.0000 0.9515 0.000 1.000
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 2 0.9358 0.3433 0.352 0.648
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.0376 0.9508 0.004 0.996
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.0000 0.9515 0.000 1.000
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 1 0.9977 0.3646 0.528 0.472
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 2 0.0938 0.9497 0.012 0.988
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.1843 0.9410 0.028 0.972
#> 1447B543-D3AC-41B5-878F-B382FE49421B 2 0.3431 0.9140 0.064 0.936
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 2 0.2948 0.9236 0.052 0.948
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 2 0.0000 0.9515 0.000 1.000
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 1 0.2778 0.8388 0.952 0.048
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 2 0.0000 0.9515 0.000 1.000
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 2 0.0000 0.9515 0.000 1.000
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.5629 0.8244 0.868 0.132
#> D9225689-21E0-478A-8F79-C26542938B8D 2 0.1414 0.9472 0.020 0.980
#> FC3BA46D-57F6-424C-8D62-16C441035969 2 0.0000 0.9515 0.000 1.000
#> 045CFFE6-4736-42F2-9340-C37690E47882 1 0.2778 0.8388 0.952 0.048
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 2 0.1184 0.9484 0.016 0.984
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 2 0.0938 0.9497 0.012 0.988
#> E94B217F-C5DC-4F42-8135-E81F338914B5 2 0.0000 0.9515 0.000 1.000
#> AE4C3956-76DF-4059-8D69-3D764F31817F 2 0.0376 0.9512 0.004 0.996
#> 33D6A38E-CD99-437B-99E0-04E72582F777 2 0.0000 0.9515 0.000 1.000
#> 8379051C-5847-42B5-AC5C-A128C166AB97 2 0.0000 0.9515 0.000 1.000
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 2 0.0000 0.9515 0.000 1.000
#> 40A16429-229E-4F40-BFC7-263554438F99 2 0.0000 0.9515 0.000 1.000
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 2 0.1414 0.9477 0.020 0.980
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 2 0.1843 0.9421 0.028 0.972
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 2 0.4815 0.8733 0.104 0.896
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 2 0.0000 0.9515 0.000 1.000
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.0000 0.9515 0.000 1.000
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 2 0.0000 0.9515 0.000 1.000
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 2 0.0000 0.9515 0.000 1.000
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 2 0.0000 0.9515 0.000 1.000
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.0376 0.9509 0.004 0.996
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 2 0.0000 0.9515 0.000 1.000
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 2 0.0000 0.9515 0.000 1.000
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 2 0.5946 0.8100 0.144 0.856
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 2 0.0672 0.9502 0.008 0.992
#> FDB47AC4-CE6A-428B-9B55-EBCEF1970ACB 2 0.2043 0.9399 0.032 0.968
#> 133B7E7B-FD50-48A2-9A35-E6D44FAB976B 2 0.1633 0.9449 0.024 0.976
#> E69E45DA-66A6-438A-9BFC-5F1F7F5C5A87 2 0.3114 0.9210 0.056 0.944
#> 6E242DF5-8B8B-4C6F-870E-C7ADFFAFDF3E 2 0.0000 0.9515 0.000 1.000
#> CB7BBFF1-4BF3-42A9-85C6-680D91503799 2 0.0000 0.9515 0.000 1.000
#> 70AA4670-C75B-4E39-8958-3F9C29811871 2 0.1414 0.9465 0.020 0.980
#> D63C5178-4FF7-4FD0-B87E-6CBF6E7BEF5B 2 0.0000 0.9515 0.000 1.000
#> 814391F8-C5B9-43F6-A330-A6749BB8F16E 2 0.2043 0.9393 0.032 0.968
#> 146ED7EA-BF3C-4BAB-B33C-0A668AB13C80 2 0.3114 0.9210 0.056 0.944
#> FD5CAFE8-E669-406A-A505-A47DCDC32E93 2 0.0672 0.9504 0.008 0.992
#> 4B3C7910-A652-45B5-8218-9002EB0FD9EB 2 0.0000 0.9515 0.000 1.000
#> E410F77D-E31F-4D73-ACAC-9245935A92F5 2 0.1184 0.9484 0.016 0.984
#> 64336403-9037-480C-873A-67BC77119FA5 2 0.0000 0.9515 0.000 1.000
#> 6F9D5013-3B1B-41EE-85DB-E51F5D828DEF 2 0.2423 0.9344 0.040 0.960
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#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.0376 0.9508 0.004 0.996
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 2 0.3431 0.9127 0.064 0.936
#> 343F031B-0095-429D-8212-AD0581DBB05B 2 0.3114 0.9210 0.056 0.944
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 2 0.1184 0.9487 0.016 0.984
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.7602 0.7788 0.780 0.220
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 2 0.0000 0.9515 0.000 1.000
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 2 0.2423 0.9346 0.040 0.960
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 2 0.0938 0.9492 0.012 0.988
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.1184 0.9474 0.016 0.984
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.1184 0.9484 0.016 0.984
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.0000 0.9515 0.000 1.000
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 1 0.2778 0.8388 0.952 0.048
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.6247 0.8177 0.844 0.156
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 1 0.2603 0.8368 0.956 0.044
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 2 0.0000 0.9515 0.000 1.000
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 1 0.0000 0.8128 1.000 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.0000 0.9515 0.000 1.000
#> FC7821F4-6495-4545-A22A-764BB99B3F79 2 0.4939 0.8609 0.108 0.892
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.0000 0.9515 0.000 1.000
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.0938 0.9498 0.012 0.988
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.0938 0.9497 0.012 0.988
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.0000 0.9515 0.000 1.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 2 0.8555 0.5448 0.280 0.720
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 2 0.1843 0.9417 0.028 0.972
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.2948 0.9243 0.052 0.948
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 1 0.2778 0.8388 0.952 0.048
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 2 0.2603 0.9306 0.044 0.956
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.0000 0.9515 0.000 1.000
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 2 0.3114 0.9221 0.056 0.944
#> BEE081CA-8420-4314-88A0-286BB30FFD65 2 0.2603 0.9306 0.044 0.956
#> C464CD1D-4519-48E8-A18A-403F691E5702 2 0.6247 0.8023 0.156 0.844
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.1843 0.8278 0.972 0.028
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.1414 0.9472 0.020 0.980
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0000 0.9515 0.000 1.000
#> A563359B-0D55-4826-9229-62A89143C1C6 2 0.2236 0.9385 0.036 0.964
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 2 0.8861 0.4871 0.304 0.696
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.2165 0.9183 0.064 0.936 0.000
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 2 0.0592 0.9424 0.012 0.988 0.000
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 2 0.1031 0.9409 0.024 0.976 0.000
#> 91202998-760F-4421-B1C4-18639962EDDA 2 0.2261 0.9124 0.068 0.932 0.000
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.0892 0.9422 0.020 0.980 0.000
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 2 0.0237 0.9422 0.004 0.996 0.000
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 2 0.0592 0.9429 0.012 0.988 0.000
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.0000 0.9424 0.000 1.000 0.000
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.0424 0.9420 0.008 0.992 0.000
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.0592 0.9422 0.012 0.988 0.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 2 0.2878 0.8893 0.096 0.904 0.000
#> 784B2359-6064-4FAA-9311-7A852F061FBB 2 0.0000 0.9424 0.000 1.000 0.000
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 2 0.0424 0.9432 0.008 0.992 0.000
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 2 0.2165 0.9140 0.064 0.936 0.000
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 1 0.6224 0.3612 0.728 0.032 0.240
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.0892 0.9417 0.020 0.980 0.000
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.8000 0.2447 0.620 0.096 0.284
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 2 0.0000 0.9424 0.000 1.000 0.000
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 2 0.0000 0.9424 0.000 1.000 0.000
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.7944 0.4599 0.580 0.348 0.072
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.0592 0.9433 0.012 0.988 0.000
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.0424 0.9420 0.008 0.992 0.000
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 2 0.2066 0.9232 0.060 0.940 0.000
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 1 0.6301 0.5141 0.712 0.260 0.028
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.0592 0.9426 0.012 0.988 0.000
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 2 0.0424 0.9431 0.008 0.992 0.000
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.0592 0.9422 0.012 0.988 0.000
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.0000 0.9424 0.000 1.000 0.000
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 1 0.6264 0.3548 0.724 0.032 0.244
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.2165 0.9140 0.064 0.936 0.000
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 2 0.0000 0.9424 0.000 1.000 0.000
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 2 0.1643 0.9327 0.044 0.956 0.000
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.0000 0.9424 0.000 1.000 0.000
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.0424 0.9420 0.008 0.992 0.000
#> 2846A3AC-D102-4E37-9B72-139ED727157A 2 0.2537 0.9069 0.080 0.920 0.000
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.1643 0.9310 0.044 0.956 0.000
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 2 0.2625 0.8988 0.084 0.916 0.000
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.7637 0.1963 0.640 0.076 0.284
#> 150F5B77-4848-4D68-800A-0A0236C3661F 2 0.0000 0.9424 0.000 1.000 0.000
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 2 0.6062 0.3107 0.384 0.616 0.000
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.0747 0.9415 0.016 0.984 0.000
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.0424 0.9420 0.008 0.992 0.000
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 1 0.6985 0.4534 0.592 0.384 0.024
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 2 0.0892 0.9421 0.020 0.980 0.000
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.1529 0.9326 0.040 0.960 0.000
#> 1447B543-D3AC-41B5-878F-B382FE49421B 2 0.3573 0.8565 0.120 0.876 0.004
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 2 0.2165 0.9174 0.064 0.936 0.000
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 2 0.0000 0.9424 0.000 1.000 0.000
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 1 0.6224 0.3612 0.728 0.032 0.240
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 2 0.0000 0.9424 0.000 1.000 0.000
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 2 0.0000 0.9424 0.000 1.000 0.000
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.7367 0.1358 0.648 0.060 0.292
#> D9225689-21E0-478A-8F79-C26542938B8D 2 0.1289 0.9362 0.032 0.968 0.000
#> FC3BA46D-57F6-424C-8D62-16C441035969 2 0.0592 0.9422 0.012 0.988 0.000
#> 045CFFE6-4736-42F2-9340-C37690E47882 1 0.6224 0.3612 0.728 0.032 0.240
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 2 0.1643 0.9314 0.044 0.956 0.000
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 2 0.1031 0.9412 0.024 0.976 0.000
#> E94B217F-C5DC-4F42-8135-E81F338914B5 2 0.0000 0.9424 0.000 1.000 0.000
#> AE4C3956-76DF-4059-8D69-3D764F31817F 2 0.0892 0.9413 0.020 0.980 0.000
#> 33D6A38E-CD99-437B-99E0-04E72582F777 2 0.0000 0.9424 0.000 1.000 0.000
#> 8379051C-5847-42B5-AC5C-A128C166AB97 2 0.0000 0.9424 0.000 1.000 0.000
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 2 0.0000 0.9424 0.000 1.000 0.000
#> 40A16429-229E-4F40-BFC7-263554438F99 2 0.0000 0.9424 0.000 1.000 0.000
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 2 0.1031 0.9405 0.024 0.976 0.000
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 2 0.1643 0.9321 0.044 0.956 0.000
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 2 0.3340 0.8649 0.120 0.880 0.000
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 2 0.0000 0.9424 0.000 1.000 0.000
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.0592 0.9422 0.012 0.988 0.000
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 2 0.0237 0.9429 0.004 0.996 0.000
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 2 0.0000 0.9424 0.000 1.000 0.000
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 2 0.0000 0.9424 0.000 1.000 0.000
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.0424 0.9428 0.008 0.992 0.000
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 2 0.0000 0.9424 0.000 1.000 0.000
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 2 0.0000 0.9424 0.000 1.000 0.000
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 2 0.4121 0.7962 0.168 0.832 0.000
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 2 0.0424 0.9423 0.008 0.992 0.000
#> FDB47AC4-CE6A-428B-9B55-EBCEF1970ACB 2 0.1643 0.9300 0.044 0.956 0.000
#> 133B7E7B-FD50-48A2-9A35-E6D44FAB976B 2 0.1411 0.9365 0.036 0.964 0.000
#> E69E45DA-66A6-438A-9BFC-5F1F7F5C5A87 2 0.2625 0.8983 0.084 0.916 0.000
#> 6E242DF5-8B8B-4C6F-870E-C7ADFFAFDF3E 2 0.0237 0.9424 0.004 0.996 0.000
#> CB7BBFF1-4BF3-42A9-85C6-680D91503799 2 0.0000 0.9424 0.000 1.000 0.000
#> 70AA4670-C75B-4E39-8958-3F9C29811871 2 0.1163 0.9394 0.028 0.972 0.000
#> D63C5178-4FF7-4FD0-B87E-6CBF6E7BEF5B 2 0.0424 0.9420 0.008 0.992 0.000
#> 814391F8-C5B9-43F6-A330-A6749BB8F16E 2 0.1964 0.9243 0.056 0.944 0.000
#> 146ED7EA-BF3C-4BAB-B33C-0A668AB13C80 2 0.2448 0.9042 0.076 0.924 0.000
#> FD5CAFE8-E669-406A-A505-A47DCDC32E93 2 0.0747 0.9414 0.016 0.984 0.000
#> 4B3C7910-A652-45B5-8218-9002EB0FD9EB 2 0.0000 0.9424 0.000 1.000 0.000
#> E410F77D-E31F-4D73-ACAC-9245935A92F5 2 0.1031 0.9400 0.024 0.976 0.000
#> 64336403-9037-480C-873A-67BC77119FA5 2 0.0237 0.9424 0.004 0.996 0.000
#> 6F9D5013-3B1B-41EE-85DB-E51F5D828DEF 2 0.2066 0.9197 0.060 0.940 0.000
#> 155AEBBD-1C12-4F88-90C7-1C7FF7E3FB2C 2 0.0000 0.9424 0.000 1.000 0.000
#> D28DDCAA-682C-451F-8327-D2C2AFB044E2 2 0.1031 0.9413 0.024 0.976 0.000
#> 171523DC-2713-4EBF-A115-53A0BA174545 1 0.6224 0.3612 0.728 0.032 0.240
#> FD223304-87BA-4462-A5E5-01AB8C018C35 2 0.0892 0.9403 0.020 0.980 0.000
#> D8E06D8A-9063-4466-A3B0-7724F4737C7A 2 0.0424 0.9428 0.008 0.992 0.000
#> FFA5FFF7-6301-4CD8-8E63-A4D8294D1B0E 2 0.0747 0.9424 0.016 0.984 0.000
#> AF3648D6-C774-48CC-9428-ADC00402A562 1 0.6224 0.3612 0.728 0.032 0.240
#> BD406B65-B715-444E-95B4-F38D05BAC863 2 0.0747 0.9414 0.016 0.984 0.000
#> 6DB67CA1-0BEB-4585-9867-40E7C8A96D55 2 0.0592 0.9419 0.012 0.988 0.000
#> 49C9DE1D-784D-405A-9DD3-C4D2890D0309 2 0.6111 0.2824 0.396 0.604 0.000
#> 05EC4D30-D34E-4497-B4F4-80AEDC2E70DF 1 0.6651 -0.0860 0.640 0.020 0.340
#> CB69E76B-7CD3-49EF-9ADF-75701FE1D0A8 2 0.2537 0.9016 0.080 0.920 0.000
#> 103C6E25-A69A-460E-81C0-7437547E1334 2 0.0592 0.9422 0.012 0.988 0.000
#> 2D986DB0-B5A8-42E8-ACB8-926A16FAABD6 2 0.0000 0.9424 0.000 1.000 0.000
#> 1B9A0F24-8A3F-4693-B09C-5F0EFE5A32A5 2 0.4555 0.7455 0.200 0.800 0.000
#> C064D1FE-753E-4493-907C-C5FFE19F9875 2 0.0592 0.9419 0.012 0.988 0.000
#> 71596860-AEFA-4B94-8ADE-AC33CEA24DD4 2 0.0000 0.9424 0.000 1.000 0.000
#> E9A3A454-AB4D-4683-B276-84DA43792DBB 2 0.2711 0.8959 0.088 0.912 0.000
#> C5717869-8413-4810-A042-32E949AD3B0A 2 0.2860 0.8966 0.084 0.912 0.004
#> F36B393E-859C-49F8-BDF4-ED2CEF4C6307 2 0.1860 0.9256 0.052 0.948 0.000
#> 4CC9D3F9-983F-4CB2-91F1-0FBB86D53DC3 2 0.1411 0.9350 0.036 0.964 0.000
#> D450F074-CA68-49CE-B0B3-F81A91D54867 2 0.1163 0.9394 0.028 0.972 0.000
#> 2BBD504E-FE90-4142-9204-0E33B6B56C7E 2 0.0000 0.9424 0.000 1.000 0.000
#> 1A457CBF-24DA-44F1-B9ED-F26B8D1245D4 2 0.0000 0.9424 0.000 1.000 0.000
#> F29B5A39-866E-4C9D-BC26-B726FEA5F576 2 0.3879 0.8280 0.152 0.848 0.000
#> 89A4972A-8C91-4272-96BE-BCA9BC447780 2 0.1031 0.9398 0.024 0.976 0.000
#> 70B014FD-A0D0-418C-B55F-D09BAE213D52 2 0.0000 0.9424 0.000 1.000 0.000
#> 8139F417-0548-40B4-851F-A4E149A2E06A 2 0.1529 0.9347 0.040 0.960 0.000
#> 6E9F0021-FA91-4516-9B04-6A978034CECF 2 0.2261 0.9198 0.068 0.932 0.000
#> 49DAF1CD-8E20-433B-91A7-8C885ACB21A5 2 0.1031 0.9409 0.024 0.976 0.000
#> 093765A6-145C-47C3-B87B-4560CD632B4C 2 0.1411 0.9342 0.036 0.964 0.000
#> 90731001-45B2-4601-93F5-064BDD519A30 1 0.7289 -0.1403 0.504 0.028 0.468
#> 40BCB65D-BC26-4FEF-941F-6F4A42D475EB 2 0.0747 0.9419 0.016 0.984 0.000
#> 204317C4-B927-4CAC-AADF-E16D19410ADB 2 0.0000 0.9424 0.000 1.000 0.000
#> 1023707A-D6DE-432A-AD2D-2318C3F91FA2 2 0.0237 0.9424 0.004 0.996 0.000
#> 06F79E8E-50E3-485A-82E9-C7CD4C72333B 2 0.0237 0.9424 0.004 0.996 0.000
#> BFAF5464-D239-4A03-AC34-984DEBA84451 2 0.0892 0.9413 0.020 0.980 0.000
#> 96C7C73E-F3E1-4937-A267-B7DAAD8EDE37 2 0.0237 0.9429 0.004 0.996 0.000
#> 1D94B33B-9A3F-40BA-90AF-5248ED058C6F 2 0.0000 0.9424 0.000 1.000 0.000
#> 3407B68D-0277-465B-8819-10FAE3EE6572 1 0.8196 0.5013 0.608 0.284 0.108
#> 868CD0D0-1CB4-4F61-B4ED-EB0C93DD950F 2 0.0424 0.9423 0.008 0.992 0.000
#> 823383C2-6F4D-4C0C-8640-3981A7ED1226 2 0.6936 -0.0622 0.460 0.524 0.016
#> 95B76301-6382-4F6E-9E09-60EEFEEA03D5 2 0.0000 0.9424 0.000 1.000 0.000
#> 50A46A4F-883E-4DAA-BD16-FCCC5FA3FCD9 2 0.0237 0.9426 0.004 0.996 0.000
#> 5037DC80-5E81-4281-89A0-E0B58071B1D9 2 0.6952 -0.1422 0.480 0.504 0.016
#> 6A228156-7365-4A4D-8E66-AA687BF37A24 1 0.7129 0.3393 0.716 0.104 0.180
#> 868C82CD-CB45-4EC9-96A8-77F0F4E0D874 2 0.1964 0.9230 0.056 0.944 0.000
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#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.0237 0.9424 0.004 0.996 0.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 2 0.6057 0.4325 0.340 0.656 0.004
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 2 0.1529 0.9316 0.040 0.960 0.000
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.2537 0.9069 0.080 0.920 0.000
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 1 0.6224 0.3612 0.728 0.032 0.240
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 2 0.2261 0.9158 0.068 0.932 0.000
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.0237 0.9428 0.004 0.996 0.000
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 2 0.2711 0.8976 0.088 0.912 0.000
#> BEE081CA-8420-4314-88A0-286BB30FFD65 2 0.2165 0.9158 0.064 0.936 0.000
#> C464CD1D-4519-48E8-A18A-403F691E5702 2 0.4235 0.7941 0.176 0.824 0.000
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 3 0.6260 0.5578 0.448 0.000 0.552
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.1289 0.9362 0.032 0.968 0.000
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0424 0.9428 0.008 0.992 0.000
#> A563359B-0D55-4826-9229-62A89143C1C6 2 0.1529 0.9331 0.040 0.960 0.000
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 2 0.5859 0.4411 0.344 0.656 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.2845 0.881594 0.076 0.896 0.028 0.000
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 2 0.1042 0.918585 0.020 0.972 0.008 0.000
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 2 0.1584 0.914969 0.036 0.952 0.012 0.000
#> 91202998-760F-4421-B1C4-18639962EDDA 2 0.3959 0.824249 0.092 0.840 0.068 0.000
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.0921 0.920126 0.028 0.972 0.000 0.000
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 2 0.0376 0.918402 0.004 0.992 0.004 0.000
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 2 0.1004 0.919019 0.024 0.972 0.004 0.000
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.0000 0.918028 0.000 1.000 0.000 0.000
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.0592 0.918934 0.016 0.984 0.000 0.000
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.0921 0.919254 0.028 0.972 0.000 0.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 2 0.4534 0.781801 0.132 0.800 0.068 0.000
#> 784B2359-6064-4FAA-9311-7A852F061FBB 2 0.0188 0.919275 0.004 0.996 0.000 0.000
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 2 0.0657 0.920079 0.012 0.984 0.004 0.000
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 2 0.2751 0.880736 0.056 0.904 0.040 0.000
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0000 0.660518 0.000 0.000 1.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.0921 0.919743 0.028 0.972 0.000 0.000
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.8852 0.300727 0.424 0.060 0.224 0.292
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 2 0.0000 0.918028 0.000 1.000 0.000 0.000
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 2 0.0000 0.918028 0.000 1.000 0.000 0.000
#> A08E2707-DDB0-40FE-828F-14720768FB05 3 0.9406 -0.257955 0.292 0.296 0.320 0.092
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.0921 0.919143 0.028 0.972 0.000 0.000
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.0336 0.918905 0.008 0.992 0.000 0.000
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 2 0.2596 0.895156 0.068 0.908 0.024 0.000
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 1 0.6317 0.358354 0.644 0.240 0.116 0.000
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.0592 0.919449 0.016 0.984 0.000 0.000
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 2 0.0895 0.919318 0.020 0.976 0.004 0.000
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.0817 0.918736 0.024 0.976 0.000 0.000
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.0336 0.918821 0.008 0.992 0.000 0.000
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.0188 0.656326 0.000 0.000 0.996 0.004
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.2751 0.880736 0.056 0.904 0.040 0.000
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 2 0.0336 0.919190 0.008 0.992 0.000 0.000
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 2 0.2179 0.903463 0.064 0.924 0.012 0.000
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.0188 0.918321 0.004 0.996 0.000 0.000
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.0469 0.918306 0.012 0.988 0.000 0.000
#> 2846A3AC-D102-4E37-9B72-139ED727157A 2 0.2844 0.882171 0.052 0.900 0.048 0.000
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.1824 0.904877 0.060 0.936 0.004 0.000
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 2 0.4215 0.808258 0.104 0.824 0.072 0.000
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.8378 0.233607 0.440 0.028 0.232 0.300
#> 150F5B77-4848-4D68-800A-0A0236C3661F 2 0.0188 0.918321 0.004 0.996 0.000 0.000
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 2 0.7114 0.240796 0.188 0.560 0.252 0.000
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.0707 0.919101 0.020 0.980 0.000 0.000
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.0469 0.918306 0.012 0.988 0.000 0.000
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 1 0.8265 0.307064 0.420 0.228 0.332 0.020
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 2 0.1209 0.917778 0.032 0.964 0.004 0.000
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.1557 0.908796 0.056 0.944 0.000 0.000
#> 1447B543-D3AC-41B5-878F-B382FE49421B 2 0.4406 0.746158 0.192 0.780 0.028 0.000
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 2 0.2521 0.892131 0.064 0.912 0.024 0.000
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 2 0.0188 0.918321 0.004 0.996 0.000 0.000
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.0000 0.660518 0.000 0.000 1.000 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 2 0.0376 0.920114 0.004 0.992 0.004 0.000
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 2 0.0000 0.918028 0.000 1.000 0.000 0.000
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.8349 0.182242 0.432 0.024 0.244 0.300
#> D9225689-21E0-478A-8F79-C26542938B8D 2 0.1610 0.912340 0.032 0.952 0.016 0.000
#> FC3BA46D-57F6-424C-8D62-16C441035969 2 0.0921 0.919254 0.028 0.972 0.000 0.000
#> 045CFFE6-4736-42F2-9340-C37690E47882 3 0.0000 0.660518 0.000 0.000 1.000 0.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 2 0.2402 0.894053 0.076 0.912 0.012 0.000
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 2 0.1305 0.917525 0.036 0.960 0.004 0.000
#> E94B217F-C5DC-4F42-8135-E81F338914B5 2 0.0000 0.918028 0.000 1.000 0.000 0.000
#> AE4C3956-76DF-4059-8D69-3D764F31817F 2 0.1209 0.915794 0.032 0.964 0.004 0.000
#> 33D6A38E-CD99-437B-99E0-04E72582F777 2 0.0188 0.918112 0.004 0.996 0.000 0.000
#> 8379051C-5847-42B5-AC5C-A128C166AB97 2 0.0336 0.919243 0.008 0.992 0.000 0.000
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 2 0.0188 0.919430 0.000 0.996 0.004 0.000
#> 40A16429-229E-4F40-BFC7-263554438F99 2 0.0188 0.918321 0.004 0.996 0.000 0.000
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 2 0.1356 0.916366 0.032 0.960 0.008 0.000
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 2 0.2142 0.902789 0.056 0.928 0.016 0.000
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 2 0.4313 0.814349 0.108 0.824 0.064 0.004
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 2 0.0336 0.919243 0.008 0.992 0.000 0.000
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.0592 0.919078 0.016 0.984 0.000 0.000
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 2 0.0336 0.919556 0.008 0.992 0.000 0.000
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 2 0.0000 0.918028 0.000 1.000 0.000 0.000
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 2 0.0188 0.918321 0.004 0.996 0.000 0.000
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.0592 0.918933 0.016 0.984 0.000 0.000
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 2 0.0188 0.918321 0.004 0.996 0.000 0.000
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 2 0.0188 0.919007 0.004 0.996 0.000 0.000
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 2 0.4605 0.770487 0.092 0.800 0.108 0.000
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 2 0.0804 0.919406 0.012 0.980 0.008 0.000
#> FDB47AC4-CE6A-428B-9B55-EBCEF1970ACB 2 0.2222 0.899746 0.060 0.924 0.016 0.000
#> 133B7E7B-FD50-48A2-9A35-E6D44FAB976B 2 0.1635 0.914700 0.044 0.948 0.008 0.000
#> E69E45DA-66A6-438A-9BFC-5F1F7F5C5A87 2 0.4144 0.811961 0.104 0.828 0.068 0.000
#> 6E242DF5-8B8B-4C6F-870E-C7ADFFAFDF3E 2 0.0188 0.918515 0.004 0.996 0.000 0.000
#> CB7BBFF1-4BF3-42A9-85C6-680D91503799 2 0.0672 0.919523 0.008 0.984 0.008 0.000
#> 70AA4670-C75B-4E39-8958-3F9C29811871 2 0.1610 0.913122 0.032 0.952 0.016 0.000
#> D63C5178-4FF7-4FD0-B87E-6CBF6E7BEF5B 2 0.0592 0.917933 0.016 0.984 0.000 0.000
#> 814391F8-C5B9-43F6-A330-A6749BB8F16E 2 0.2443 0.893647 0.060 0.916 0.024 0.000
#> 146ED7EA-BF3C-4BAB-B33C-0A668AB13C80 2 0.4022 0.819578 0.096 0.836 0.068 0.000
#> FD5CAFE8-E669-406A-A505-A47DCDC32E93 2 0.1624 0.910403 0.020 0.952 0.028 0.000
#> 4B3C7910-A652-45B5-8218-9002EB0FD9EB 2 0.0336 0.918794 0.008 0.992 0.000 0.000
#> E410F77D-E31F-4D73-ACAC-9245935A92F5 2 0.1677 0.911437 0.040 0.948 0.012 0.000
#> 64336403-9037-480C-873A-67BC77119FA5 2 0.0592 0.918517 0.016 0.984 0.000 0.000
#> 6F9D5013-3B1B-41EE-85DB-E51F5D828DEF 2 0.3266 0.860249 0.084 0.876 0.040 0.000
#> 155AEBBD-1C12-4F88-90C7-1C7FF7E3FB2C 2 0.0000 0.918028 0.000 1.000 0.000 0.000
#> D28DDCAA-682C-451F-8327-D2C2AFB044E2 2 0.1209 0.918350 0.032 0.964 0.004 0.000
#> 171523DC-2713-4EBF-A115-53A0BA174545 3 0.0000 0.660518 0.000 0.000 1.000 0.000
#> FD223304-87BA-4462-A5E5-01AB8C018C35 2 0.1406 0.914610 0.024 0.960 0.016 0.000
#> D8E06D8A-9063-4466-A3B0-7724F4737C7A 2 0.0376 0.919825 0.004 0.992 0.004 0.000
#> FFA5FFF7-6301-4CD8-8E63-A4D8294D1B0E 2 0.1209 0.917117 0.032 0.964 0.004 0.000
#> AF3648D6-C774-48CC-9428-ADC00402A562 3 0.0000 0.660518 0.000 0.000 1.000 0.000
#> BD406B65-B715-444E-95B4-F38D05BAC863 2 0.1042 0.917141 0.008 0.972 0.020 0.000
#> 6DB67CA1-0BEB-4585-9867-40E7C8A96D55 2 0.0707 0.918188 0.020 0.980 0.000 0.000
#> 49C9DE1D-784D-405A-9DD3-C4D2890D0309 2 0.7153 0.233504 0.196 0.556 0.248 0.000
#> 05EC4D30-D34E-4497-B4F4-80AEDC2E70DF 1 0.7720 -0.001714 0.412 0.000 0.228 0.360
#> CB69E76B-7CD3-49EF-9ADF-75701FE1D0A8 2 0.4083 0.816177 0.100 0.832 0.068 0.000
#> 103C6E25-A69A-460E-81C0-7437547E1334 2 0.0921 0.919254 0.028 0.972 0.000 0.000
#> 2D986DB0-B5A8-42E8-ACB8-926A16FAABD6 2 0.0188 0.918321 0.004 0.996 0.000 0.000
#> 1B9A0F24-8A3F-4693-B09C-5F0EFE5A32A5 2 0.4916 0.700850 0.056 0.760 0.184 0.000
#> C064D1FE-753E-4493-907C-C5FFE19F9875 2 0.0921 0.917279 0.028 0.972 0.000 0.000
#> 71596860-AEFA-4B94-8ADE-AC33CEA24DD4 2 0.0188 0.919324 0.004 0.996 0.000 0.000
#> E9A3A454-AB4D-4683-B276-84DA43792DBB 2 0.4261 0.804619 0.112 0.820 0.068 0.000
#> C5717869-8413-4810-A042-32E949AD3B0A 2 0.3621 0.845941 0.072 0.860 0.068 0.000
#> F36B393E-859C-49F8-BDF4-ED2CEF4C6307 2 0.2844 0.880919 0.052 0.900 0.048 0.000
#> 4CC9D3F9-983F-4CB2-91F1-0FBB86D53DC3 2 0.1635 0.911943 0.044 0.948 0.008 0.000
#> D450F074-CA68-49CE-B0B3-F81A91D54867 2 0.1510 0.914767 0.028 0.956 0.016 0.000
#> 2BBD504E-FE90-4142-9204-0E33B6B56C7E 2 0.0188 0.918321 0.004 0.996 0.000 0.000
#> 1A457CBF-24DA-44F1-B9ED-F26B8D1245D4 2 0.0000 0.918028 0.000 1.000 0.000 0.000
#> F29B5A39-866E-4C9D-BC26-B726FEA5F576 2 0.4688 0.781396 0.128 0.792 0.080 0.000
#> 89A4972A-8C91-4272-96BE-BCA9BC447780 2 0.1059 0.918851 0.016 0.972 0.012 0.000
#> 70B014FD-A0D0-418C-B55F-D09BAE213D52 2 0.0336 0.919531 0.008 0.992 0.000 0.000
#> 8139F417-0548-40B4-851F-A4E149A2E06A 2 0.1890 0.907592 0.056 0.936 0.008 0.000
#> 6E9F0021-FA91-4516-9B04-6A978034CECF 2 0.3107 0.878261 0.080 0.884 0.036 0.000
#> 49DAF1CD-8E20-433B-91A7-8C885ACB21A5 2 0.1584 0.914969 0.036 0.952 0.012 0.000
#> 093765A6-145C-47C3-B87B-4560CD632B4C 2 0.1557 0.907227 0.056 0.944 0.000 0.000
#> 90731001-45B2-4601-93F5-064BDD519A30 3 0.4250 0.157622 0.000 0.000 0.724 0.276
#> 40BCB65D-BC26-4FEF-941F-6F4A42D475EB 2 0.0817 0.920034 0.024 0.976 0.000 0.000
#> 204317C4-B927-4CAC-AADF-E16D19410ADB 2 0.0336 0.918821 0.008 0.992 0.000 0.000
#> 1023707A-D6DE-432A-AD2D-2318C3F91FA2 2 0.0336 0.918327 0.008 0.992 0.000 0.000
#> 06F79E8E-50E3-485A-82E9-C7CD4C72333B 2 0.0469 0.918413 0.012 0.988 0.000 0.000
#> BFAF5464-D239-4A03-AC34-984DEBA84451 2 0.1209 0.917872 0.032 0.964 0.004 0.000
#> 96C7C73E-F3E1-4937-A267-B7DAAD8EDE37 2 0.0336 0.919556 0.008 0.992 0.000 0.000
#> 1D94B33B-9A3F-40BA-90AF-5248ED058C6F 2 0.0188 0.918321 0.004 0.996 0.000 0.000
#> 3407B68D-0277-465B-8819-10FAE3EE6572 3 0.5530 0.069645 0.040 0.224 0.720 0.016
#> 868CD0D0-1CB4-4F61-B4ED-EB0C93DD950F 2 0.0779 0.919033 0.016 0.980 0.004 0.000
#> 823383C2-6F4D-4C0C-8640-3981A7ED1226 2 0.8023 -0.145127 0.204 0.460 0.320 0.016
#> 95B76301-6382-4F6E-9E09-60EEFEEA03D5 2 0.0188 0.918321 0.004 0.996 0.000 0.000
#> 50A46A4F-883E-4DAA-BD16-FCCC5FA3FCD9 2 0.0469 0.920178 0.012 0.988 0.000 0.000
#> 5037DC80-5E81-4281-89A0-E0B58071B1D9 2 0.8131 -0.217400 0.224 0.440 0.320 0.016
#> 6A228156-7365-4A4D-8E66-AA687BF37A24 3 0.9012 -0.326309 0.356 0.068 0.360 0.216
#> 868C82CD-CB45-4EC9-96A8-77F0F4E0D874 2 0.2048 0.901092 0.064 0.928 0.008 0.000
#> 28F5861F-7081-4CE8-A917-941FCB6206FA 2 0.0336 0.918905 0.008 0.992 0.000 0.000
#> 1ED41271-3AA4-43F1-B43C-0D5C4F918FB8 2 0.0672 0.918888 0.008 0.984 0.008 0.000
#> 5A879DD8-EB7F-4EB6-9A9A-6D62438D8B95 2 0.0592 0.919059 0.016 0.984 0.000 0.000
#> 8B55B4E4-9222-4F69-AD4A-A92AC948F05E 2 0.0469 0.918413 0.012 0.988 0.000 0.000
#> 1DCE9448-495E-46D3-8953-D733BD68DFE6 2 0.0000 0.918028 0.000 1.000 0.000 0.000
#> C922BF2A-2A98-47CC-9127-1C1A2E38A6B6 4 0.0000 0.675627 0.000 0.000 0.000 1.000
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#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.1118 0.915761 0.036 0.964 0.000 0.000
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 2 0.3355 0.820380 0.160 0.836 0.004 0.000
#> 343F031B-0095-429D-8212-AD0581DBB05B 2 0.4203 0.807389 0.108 0.824 0.068 0.000
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 2 0.1305 0.917400 0.036 0.960 0.004 0.000
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.5362 0.223337 0.780 0.072 0.116 0.032
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 2 0.0000 0.918028 0.000 1.000 0.000 0.000
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 2 0.2699 0.887621 0.068 0.904 0.028 0.000
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 2 0.0895 0.920227 0.020 0.976 0.004 0.000
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.1489 0.911755 0.044 0.952 0.004 0.000
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.1305 0.917833 0.036 0.960 0.004 0.000
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.0000 0.918028 0.000 1.000 0.000 0.000
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.0000 0.660518 0.000 0.000 1.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.8853 0.279649 0.404 0.052 0.288 0.256
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.0188 0.656326 0.000 0.000 0.996 0.004
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 2 0.0657 0.919625 0.004 0.984 0.012 0.000
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 4 0.3907 0.831561 0.000 0.000 0.232 0.768
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.0592 0.917933 0.016 0.984 0.000 0.000
#> FC7821F4-6495-4545-A22A-764BB99B3F79 2 0.3761 0.835351 0.080 0.852 0.068 0.000
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.0000 0.918028 0.000 1.000 0.000 0.000
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.1059 0.918423 0.016 0.972 0.012 0.000
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.1004 0.919375 0.024 0.972 0.004 0.000
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.0469 0.918413 0.012 0.988 0.000 0.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 2 0.6705 0.312913 0.316 0.592 0.080 0.012
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 2 0.2256 0.896088 0.056 0.924 0.020 0.000
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.2844 0.882171 0.052 0.900 0.048 0.000
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0000 0.660518 0.000 0.000 1.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 2 0.3215 0.865167 0.092 0.876 0.032 0.000
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.0336 0.920121 0.008 0.992 0.000 0.000
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 2 0.4245 0.806255 0.116 0.820 0.064 0.000
#> BEE081CA-8420-4314-88A0-286BB30FFD65 2 0.2949 0.871225 0.088 0.888 0.024 0.000
#> C464CD1D-4519-48E8-A18A-403F691E5702 2 0.5159 0.730923 0.156 0.756 0.088 0.000
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 4 0.7147 0.460202 0.216 0.000 0.224 0.560
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.1610 0.912340 0.032 0.952 0.016 0.000
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0592 0.918852 0.016 0.984 0.000 0.000
#> A563359B-0D55-4826-9229-62A89143C1C6 2 0.2002 0.907244 0.044 0.936 0.020 0.000
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 2 0.6797 0.374625 0.160 0.600 0.240 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.3716 0.80727 0.172 0.800 0.020 0.008 0.000
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 2 0.2020 0.86759 0.100 0.900 0.000 0.000 0.000
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 2 0.3196 0.80330 0.192 0.804 0.000 0.004 0.000
#> 91202998-760F-4421-B1C4-18639962EDDA 2 0.4109 0.67029 0.288 0.700 0.012 0.000 0.000
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.1704 0.86981 0.068 0.928 0.000 0.004 0.000
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 2 0.2020 0.86599 0.100 0.900 0.000 0.000 0.000
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 2 0.1908 0.86865 0.092 0.908 0.000 0.000 0.000
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.0609 0.86464 0.020 0.980 0.000 0.000 0.000
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.1764 0.87056 0.064 0.928 0.000 0.008 0.000
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.1894 0.86761 0.072 0.920 0.000 0.008 0.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 2 0.4444 0.54673 0.364 0.624 0.012 0.000 0.000
#> 784B2359-6064-4FAA-9311-7A852F061FBB 2 0.1410 0.86594 0.060 0.940 0.000 0.000 0.000
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 2 0.2806 0.82508 0.152 0.844 0.000 0.004 0.000
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 2 0.3801 0.82174 0.128 0.820 0.036 0.016 0.000
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0000 0.74177 0.000 0.000 1.000 0.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.2130 0.86219 0.080 0.908 0.000 0.012 0.000
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.8590 0.33758 0.380 0.036 0.080 0.232 0.272
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 2 0.1121 0.86358 0.044 0.956 0.000 0.000 0.000
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 2 0.1121 0.86276 0.044 0.956 0.000 0.000 0.000
#> A08E2707-DDB0-40FE-828F-14720768FB05 3 0.9539 -0.24730 0.232 0.224 0.272 0.204 0.068
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.1557 0.87354 0.052 0.940 0.000 0.008 0.000
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.0992 0.86897 0.024 0.968 0.000 0.008 0.000
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 2 0.3547 0.82904 0.144 0.824 0.016 0.016 0.000
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 4 0.4981 0.39568 0.120 0.172 0.000 0.708 0.000
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.1430 0.86979 0.052 0.944 0.000 0.004 0.000
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 2 0.3010 0.81384 0.172 0.824 0.000 0.004 0.000
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.1557 0.86697 0.052 0.940 0.000 0.008 0.000
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.0865 0.86567 0.024 0.972 0.000 0.004 0.000
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.0162 0.73785 0.000 0.000 0.996 0.000 0.004
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.3801 0.82174 0.128 0.820 0.036 0.016 0.000
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 2 0.1270 0.86393 0.052 0.948 0.000 0.000 0.000
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 2 0.3336 0.83569 0.144 0.832 0.008 0.016 0.000
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.0609 0.86458 0.020 0.980 0.000 0.000 0.000
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.1251 0.86448 0.036 0.956 0.000 0.008 0.000
#> 2846A3AC-D102-4E37-9B72-139ED727157A 2 0.4257 0.78591 0.124 0.804 0.040 0.028 0.004
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.3037 0.84812 0.100 0.864 0.004 0.032 0.000
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 2 0.4309 0.63545 0.308 0.676 0.016 0.000 0.000
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.7944 0.27222 0.388 0.000 0.084 0.260 0.268
#> 150F5B77-4848-4D68-800A-0A0236C3661F 2 0.0609 0.86566 0.020 0.980 0.000 0.000 0.000
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 2 0.7668 0.05212 0.228 0.472 0.212 0.088 0.000
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.1364 0.86816 0.036 0.952 0.000 0.012 0.000
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.1041 0.86448 0.032 0.964 0.000 0.004 0.000
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 1 0.6070 0.31310 0.700 0.092 0.124 0.068 0.016
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 2 0.2230 0.86276 0.116 0.884 0.000 0.000 0.000
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.2628 0.85209 0.088 0.884 0.000 0.028 0.000
#> 1447B543-D3AC-41B5-878F-B382FE49421B 2 0.5046 0.55239 0.328 0.632 0.020 0.020 0.000
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 2 0.3579 0.82744 0.116 0.836 0.016 0.032 0.000
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 2 0.1341 0.86877 0.056 0.944 0.000 0.000 0.000
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.0000 0.74177 0.000 0.000 1.000 0.000 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 2 0.1410 0.86374 0.060 0.940 0.000 0.000 0.000
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 2 0.1043 0.86280 0.040 0.960 0.000 0.000 0.000
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.8257 0.26831 0.372 0.008 0.092 0.256 0.272
#> D9225689-21E0-478A-8F79-C26542938B8D 2 0.2536 0.85466 0.128 0.868 0.004 0.000 0.000
#> FC3BA46D-57F6-424C-8D62-16C441035969 2 0.1894 0.86761 0.072 0.920 0.000 0.008 0.000
#> 045CFFE6-4736-42F2-9340-C37690E47882 3 0.0000 0.74177 0.000 0.000 1.000 0.000 0.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 2 0.3957 0.71936 0.280 0.712 0.000 0.008 0.000
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 2 0.2411 0.86318 0.108 0.884 0.000 0.008 0.000
#> E94B217F-C5DC-4F42-8135-E81F338914B5 2 0.1043 0.86368 0.040 0.960 0.000 0.000 0.000
#> AE4C3956-76DF-4059-8D69-3D764F31817F 2 0.1960 0.86031 0.048 0.928 0.000 0.020 0.004
#> 33D6A38E-CD99-437B-99E0-04E72582F777 2 0.0963 0.86718 0.036 0.964 0.000 0.000 0.000
#> 8379051C-5847-42B5-AC5C-A128C166AB97 2 0.1270 0.86340 0.052 0.948 0.000 0.000 0.000
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 2 0.1282 0.86448 0.044 0.952 0.004 0.000 0.000
#> 40A16429-229E-4F40-BFC7-263554438F99 2 0.1270 0.87277 0.052 0.948 0.000 0.000 0.000
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 2 0.2338 0.86080 0.112 0.884 0.000 0.004 0.000
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 2 0.2806 0.84171 0.152 0.844 0.000 0.004 0.000
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 2 0.4629 0.74797 0.204 0.740 0.036 0.020 0.000
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 2 0.1410 0.86431 0.060 0.940 0.000 0.000 0.000
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.1364 0.86635 0.036 0.952 0.000 0.012 0.000
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 2 0.1197 0.86382 0.048 0.952 0.000 0.000 0.000
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 2 0.1043 0.86280 0.040 0.960 0.000 0.000 0.000
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 2 0.0703 0.86697 0.024 0.976 0.000 0.000 0.000
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.0898 0.86608 0.020 0.972 0.000 0.008 0.000
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 2 0.1121 0.87176 0.044 0.956 0.000 0.000 0.000
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 2 0.1270 0.86373 0.052 0.948 0.000 0.000 0.000
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 2 0.5515 0.68713 0.132 0.716 0.104 0.048 0.000
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 2 0.2124 0.86686 0.096 0.900 0.000 0.004 0.000
#> FDB47AC4-CE6A-428B-9B55-EBCEF1970ACB 2 0.2970 0.83177 0.168 0.828 0.000 0.004 0.000
#> 133B7E7B-FD50-48A2-9A35-E6D44FAB976B 2 0.2517 0.86004 0.104 0.884 0.008 0.004 0.000
#> E69E45DA-66A6-438A-9BFC-5F1F7F5C5A87 2 0.4232 0.63427 0.312 0.676 0.012 0.000 0.000
#> 6E242DF5-8B8B-4C6F-870E-C7ADFFAFDF3E 2 0.0703 0.86531 0.024 0.976 0.000 0.000 0.000
#> CB7BBFF1-4BF3-42A9-85C6-680D91503799 2 0.1851 0.85970 0.088 0.912 0.000 0.000 0.000
#> 70AA4670-C75B-4E39-8958-3F9C29811871 2 0.2179 0.86134 0.112 0.888 0.000 0.000 0.000
#> D63C5178-4FF7-4FD0-B87E-6CBF6E7BEF5B 2 0.0898 0.86355 0.020 0.972 0.000 0.008 0.000
#> 814391F8-C5B9-43F6-A330-A6749BB8F16E 2 0.3128 0.82937 0.168 0.824 0.004 0.004 0.000
#> 146ED7EA-BF3C-4BAB-B33C-0A668AB13C80 2 0.4213 0.64077 0.308 0.680 0.012 0.000 0.000
#> FD5CAFE8-E669-406A-A505-A47DCDC32E93 2 0.2612 0.85170 0.124 0.868 0.008 0.000 0.000
#> 4B3C7910-A652-45B5-8218-9002EB0FD9EB 2 0.0794 0.86918 0.028 0.972 0.000 0.000 0.000
#> E410F77D-E31F-4D73-ACAC-9245935A92F5 2 0.3430 0.78030 0.220 0.776 0.000 0.004 0.000
#> 64336403-9037-480C-873A-67BC77119FA5 2 0.1205 0.87033 0.040 0.956 0.000 0.004 0.000
#> 6F9D5013-3B1B-41EE-85DB-E51F5D828DEF 2 0.3579 0.76401 0.240 0.756 0.004 0.000 0.000
#> 155AEBBD-1C12-4F88-90C7-1C7FF7E3FB2C 2 0.1121 0.86276 0.044 0.956 0.000 0.000 0.000
#> D28DDCAA-682C-451F-8327-D2C2AFB044E2 2 0.2329 0.86026 0.124 0.876 0.000 0.000 0.000
#> 171523DC-2713-4EBF-A115-53A0BA174545 3 0.0000 0.74177 0.000 0.000 1.000 0.000 0.000
#> FD223304-87BA-4462-A5E5-01AB8C018C35 2 0.2286 0.86646 0.108 0.888 0.000 0.004 0.000
#> D8E06D8A-9063-4466-A3B0-7724F4737C7A 2 0.1502 0.87026 0.056 0.940 0.004 0.000 0.000
#> FFA5FFF7-6301-4CD8-8E63-A4D8294D1B0E 2 0.2338 0.86080 0.112 0.884 0.000 0.004 0.000
#> AF3648D6-C774-48CC-9428-ADC00402A562 3 0.0000 0.74177 0.000 0.000 1.000 0.000 0.000
#> BD406B65-B715-444E-95B4-F38D05BAC863 2 0.1956 0.86198 0.076 0.916 0.008 0.000 0.000
#> 6DB67CA1-0BEB-4585-9867-40E7C8A96D55 2 0.1579 0.86793 0.032 0.944 0.000 0.024 0.000
#> 49C9DE1D-784D-405A-9DD3-C4D2890D0309 2 0.7594 0.08566 0.240 0.480 0.196 0.084 0.000
#> 05EC4D30-D34E-4497-B4F4-80AEDC2E70DF 1 0.7965 0.14971 0.328 0.000 0.076 0.280 0.316
#> CB69E76B-7CD3-49EF-9ADF-75701FE1D0A8 2 0.4213 0.64102 0.308 0.680 0.012 0.000 0.000
#> 103C6E25-A69A-460E-81C0-7437547E1334 2 0.1894 0.86761 0.072 0.920 0.000 0.008 0.000
#> 2D986DB0-B5A8-42E8-ACB8-926A16FAABD6 2 0.0510 0.86356 0.016 0.984 0.000 0.000 0.000
#> 1B9A0F24-8A3F-4693-B09C-5F0EFE5A32A5 2 0.6024 0.57361 0.132 0.660 0.176 0.028 0.004
#> C064D1FE-753E-4493-907C-C5FFE19F9875 2 0.1787 0.86172 0.044 0.936 0.000 0.016 0.004
#> 71596860-AEFA-4B94-8ADE-AC33CEA24DD4 2 0.0880 0.87074 0.032 0.968 0.000 0.000 0.000
#> E9A3A454-AB4D-4683-B276-84DA43792DBB 2 0.4306 0.61393 0.328 0.660 0.012 0.000 0.000
#> C5717869-8413-4810-A042-32E949AD3B0A 2 0.4168 0.74740 0.200 0.756 0.044 0.000 0.000
#> F36B393E-859C-49F8-BDF4-ED2CEF4C6307 2 0.3583 0.80476 0.192 0.792 0.012 0.004 0.000
#> 4CC9D3F9-983F-4CB2-91F1-0FBB86D53DC3 2 0.2948 0.85698 0.092 0.876 0.008 0.020 0.004
#> D450F074-CA68-49CE-B0B3-F81A91D54867 2 0.2020 0.86459 0.100 0.900 0.000 0.000 0.000
#> 2BBD504E-FE90-4142-9204-0E33B6B56C7E 2 0.0880 0.87114 0.032 0.968 0.000 0.000 0.000
#> 1A457CBF-24DA-44F1-B9ED-F26B8D1245D4 2 0.0963 0.86387 0.036 0.964 0.000 0.000 0.000
#> F29B5A39-866E-4C9D-BC26-B726FEA5F576 2 0.5152 0.70706 0.212 0.708 0.032 0.048 0.000
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#> 7481630E-5CBA-4A4A-A16F-E327BCEE11D3 2 0.4676 0.73958 0.192 0.744 0.020 0.044 0.000
#> 7B3E6643-C148-4266-A3A3-80BAB713DD3E 2 0.0798 0.86438 0.016 0.976 0.000 0.008 0.000
#> BA8564FA-8D4D-4B2F-A178-63209F887A05 2 0.8394 -0.33077 0.208 0.368 0.276 0.144 0.004
#> 2FB578F6-E8B7-434D-9720-D448A26C1EFD 4 0.9428 -0.05210 0.228 0.144 0.276 0.280 0.072
#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 2 0.5333 0.70311 0.128 0.728 0.104 0.040 0.000
#> 740FCE46-8A4A-4A6A-B79F-78A63D28E313 2 0.1205 0.87030 0.040 0.956 0.000 0.004 0.000
#> 523A5832-0C42-44A4-A58F-7011C3A567DC 3 0.0000 0.74177 0.000 0.000 1.000 0.000 0.000
#> A2C68C81-7371-4E0C-BFD1-EA868A7C9499 2 0.2208 0.86351 0.072 0.908 0.000 0.020 0.000
#> 2EB7025A-D932-4238-BD60-609B25150029 2 0.3957 0.71936 0.280 0.712 0.000 0.008 0.000
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 2 0.0703 0.86902 0.024 0.976 0.000 0.000 0.000
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 2 0.3117 0.83314 0.100 0.860 0.000 0.036 0.004
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 2 0.0771 0.86329 0.020 0.976 0.000 0.004 0.000
#> F081EA01-ED14-491B-9620-BF8F10A7431D 2 0.2338 0.86080 0.112 0.884 0.000 0.004 0.000
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 2 0.1364 0.86578 0.036 0.952 0.000 0.012 0.000
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 2 0.1638 0.86637 0.064 0.932 0.004 0.000 0.000
#> B54639CE-F721-4908-B758-309F148AD3C2 2 0.1121 0.87215 0.044 0.956 0.000 0.000 0.000
#> EB4294E1-3FBC-495C-A041-829A654B59C5 5 0.3561 0.75724 0.000 0.000 0.260 0.000 0.740
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 2 0.7040 0.35084 0.196 0.556 0.196 0.048 0.004
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.1168 0.86376 0.032 0.960 0.000 0.008 0.000
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 4 0.8813 0.05944 0.184 0.192 0.300 0.308 0.016
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.0865 0.86378 0.024 0.972 0.000 0.004 0.000
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 2 0.7216 0.24759 0.212 0.528 0.196 0.064 0.000
#> D34036E4-1122-42AE-B20F-F4C8515872A0 2 0.1364 0.86491 0.036 0.952 0.000 0.012 0.000
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 2 0.0703 0.86649 0.024 0.976 0.000 0.000 0.000
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 2 0.4290 0.64065 0.304 0.680 0.016 0.000 0.000
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 3 0.0000 0.74177 0.000 0.000 1.000 0.000 0.000
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.0703 0.86438 0.024 0.976 0.000 0.000 0.000
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.1041 0.86448 0.032 0.964 0.000 0.004 0.000
#> F3C13430-405E-432E-8F3E-0DD18E86087E 2 0.2589 0.86777 0.092 0.888 0.008 0.012 0.000
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.1205 0.86889 0.040 0.956 0.000 0.004 0.000
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 2 0.4885 0.74223 0.168 0.732 0.092 0.008 0.000
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.1364 0.86415 0.036 0.952 0.000 0.012 0.000
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.0703 0.86438 0.024 0.976 0.000 0.000 0.000
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 2 0.4792 0.71102 0.232 0.712 0.012 0.044 0.000
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.1331 0.86703 0.040 0.952 0.000 0.008 0.000
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 3 0.8813 -0.20906 0.184 0.192 0.304 0.304 0.016
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 2 0.4298 0.60374 0.352 0.640 0.000 0.008 0.000
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 2 0.6565 0.24358 0.368 0.508 0.064 0.060 0.000
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.1478 0.87092 0.064 0.936 0.000 0.000 0.000
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.0000 0.74177 0.000 0.000 1.000 0.000 0.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 5 0.3366 0.77301 0.000 0.000 0.232 0.000 0.768
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 2 0.2806 0.82508 0.152 0.844 0.000 0.004 0.000
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 2 0.1408 0.87122 0.044 0.948 0.008 0.000 0.000
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.2046 0.85919 0.068 0.916 0.000 0.016 0.000
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 2 0.4014 0.71625 0.256 0.728 0.000 0.016 0.000
#> 343F031B-0095-429D-8212-AD0581DBB05B 2 0.4288 0.61786 0.324 0.664 0.012 0.000 0.000
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 2 0.2488 0.85880 0.124 0.872 0.000 0.004 0.000
#> 03A226C5-398D-41D2-BB72-C97A373CD512 4 0.3544 0.11111 0.164 0.016 0.000 0.812 0.008
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 2 0.1121 0.86276 0.044 0.956 0.000 0.000 0.000
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 2 0.3716 0.81400 0.172 0.800 0.020 0.008 0.000
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 2 0.2284 0.86767 0.096 0.896 0.004 0.004 0.000
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.2608 0.85868 0.088 0.888 0.004 0.020 0.000
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.2179 0.86457 0.100 0.896 0.000 0.004 0.000
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.0794 0.86442 0.028 0.972 0.000 0.000 0.000
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.0000 0.74177 0.000 0.000 1.000 0.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 4 0.9352 -0.43992 0.260 0.048 0.200 0.272 0.220
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.0162 0.73785 0.000 0.000 0.996 0.000 0.004
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 2 0.1952 0.86174 0.084 0.912 0.004 0.000 0.000
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 5 0.3366 0.77301 0.000 0.000 0.232 0.000 0.768
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.0898 0.86355 0.020 0.972 0.000 0.008 0.000
#> FC7821F4-6495-4545-A22A-764BB99B3F79 2 0.4830 0.75635 0.120 0.768 0.068 0.044 0.000
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.0510 0.86420 0.016 0.984 0.000 0.000 0.000
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.1991 0.86823 0.076 0.916 0.004 0.004 0.000
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.1831 0.86953 0.076 0.920 0.000 0.004 0.000
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.0671 0.86398 0.016 0.980 0.000 0.004 0.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 2 0.7300 -0.15123 0.352 0.420 0.040 0.188 0.000
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 2 0.3003 0.81522 0.188 0.812 0.000 0.000 0.000
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.4257 0.78591 0.124 0.804 0.040 0.028 0.004
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0000 0.74177 0.000 0.000 1.000 0.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 2 0.3579 0.77370 0.240 0.756 0.004 0.000 0.000
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.0963 0.86854 0.036 0.964 0.000 0.000 0.000
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 2 0.4288 0.61895 0.324 0.664 0.012 0.000 0.000
#> BEE081CA-8420-4314-88A0-286BB30FFD65 2 0.3395 0.77083 0.236 0.764 0.000 0.000 0.000
#> C464CD1D-4519-48E8-A18A-403F691E5702 2 0.5342 0.66317 0.228 0.688 0.036 0.048 0.000
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 5 0.7476 0.36911 0.152 0.000 0.100 0.240 0.508
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.2583 0.85456 0.132 0.864 0.004 0.000 0.000
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0992 0.86480 0.024 0.968 0.000 0.008 0.000
#> A563359B-0D55-4826-9229-62A89143C1C6 2 0.2911 0.84954 0.136 0.852 0.008 0.004 0.000
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 2 0.7284 0.23537 0.220 0.516 0.200 0.064 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.4818 0.5814 0.020 0.632 0.008 0.012 0.320 0.008
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 2 0.3231 0.7552 0.008 0.800 0.000 0.012 0.180 0.000
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 2 0.4495 0.5200 0.004 0.624 0.000 0.004 0.340 0.028
#> 91202998-760F-4421-B1C4-18639962EDDA 2 0.5327 0.4062 0.008 0.568 0.000 0.024 0.356 0.044
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.2219 0.7682 0.000 0.864 0.000 0.000 0.136 0.000
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 2 0.3481 0.7435 0.004 0.756 0.000 0.012 0.228 0.000
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 2 0.2955 0.7552 0.008 0.816 0.000 0.000 0.172 0.004
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.1349 0.7617 0.000 0.940 0.000 0.004 0.056 0.000
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.2300 0.7668 0.000 0.856 0.000 0.000 0.144 0.000
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.3011 0.7330 0.004 0.800 0.000 0.000 0.192 0.004
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 2 0.6316 0.1902 0.036 0.476 0.000 0.048 0.392 0.048
#> 784B2359-6064-4FAA-9311-7A852F061FBB 2 0.2538 0.7496 0.000 0.860 0.000 0.016 0.124 0.000
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 2 0.4045 0.6156 0.000 0.700 0.000 0.004 0.268 0.028
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 2 0.4940 0.6059 0.016 0.644 0.028 0.012 0.296 0.004
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0000 0.9186 0.000 0.000 1.000 0.000 0.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.2902 0.7298 0.000 0.800 0.000 0.004 0.196 0.000
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.3786 0.5370 0.832 0.032 0.000 0.036 0.036 0.064
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 2 0.1958 0.7538 0.000 0.896 0.000 0.004 0.100 0.000
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 2 0.1910 0.7501 0.000 0.892 0.000 0.000 0.108 0.000
#> A08E2707-DDB0-40FE-828F-14720768FB05 5 0.9021 0.2079 0.244 0.112 0.152 0.092 0.348 0.052
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.2794 0.7745 0.004 0.840 0.000 0.012 0.144 0.000
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.1531 0.7667 0.000 0.928 0.000 0.000 0.068 0.004
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 2 0.4139 0.6438 0.004 0.688 0.016 0.008 0.284 0.000
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 4 0.4662 0.5720 0.032 0.120 0.000 0.736 0.112 0.000
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.1910 0.7717 0.000 0.892 0.000 0.000 0.108 0.000
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 2 0.4464 0.5352 0.000 0.624 0.000 0.008 0.340 0.028
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.2092 0.7717 0.000 0.876 0.000 0.000 0.124 0.000
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.1285 0.7660 0.000 0.944 0.000 0.004 0.052 0.000
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.0146 0.9141 0.000 0.000 0.996 0.000 0.000 0.004
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.4940 0.6059 0.016 0.644 0.028 0.012 0.296 0.004
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 2 0.2178 0.7545 0.000 0.868 0.000 0.000 0.132 0.000
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 2 0.3753 0.6721 0.008 0.696 0.000 0.004 0.292 0.000
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.1285 0.7646 0.000 0.944 0.000 0.004 0.052 0.000
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.1610 0.7558 0.000 0.916 0.000 0.000 0.084 0.000
#> 2846A3AC-D102-4E37-9B72-139ED727157A 2 0.4706 0.4324 0.004 0.620 0.012 0.008 0.340 0.016
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.3543 0.7101 0.016 0.756 0.000 0.004 0.224 0.000
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 2 0.5728 0.3209 0.016 0.524 0.000 0.028 0.380 0.052
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.3103 0.5243 0.860 0.000 0.000 0.040 0.040 0.060
#> 150F5B77-4848-4D68-800A-0A0236C3661F 2 0.1152 0.7698 0.000 0.952 0.000 0.004 0.044 0.000
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 5 0.8064 0.3163 0.124 0.340 0.128 0.032 0.356 0.020
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.1444 0.7676 0.000 0.928 0.000 0.000 0.072 0.000
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.1444 0.7568 0.000 0.928 0.000 0.000 0.072 0.000
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 1 0.7585 0.3482 0.504 0.060 0.004 0.128 0.196 0.108
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 2 0.3404 0.7275 0.000 0.744 0.000 0.004 0.248 0.004
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.3271 0.6972 0.000 0.760 0.000 0.008 0.232 0.000
#> 1447B543-D3AC-41B5-878F-B382FE49421B 2 0.6954 0.2048 0.096 0.492 0.008 0.104 0.292 0.008
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 2 0.4112 0.6550 0.004 0.716 0.012 0.012 0.252 0.004
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 2 0.2191 0.7597 0.000 0.876 0.000 0.004 0.120 0.000
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.0000 0.9186 0.000 0.000 1.000 0.000 0.000 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 2 0.2196 0.7519 0.000 0.884 0.000 0.004 0.108 0.004
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 2 0.1814 0.7507 0.000 0.900 0.000 0.000 0.100 0.000
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.3297 0.5232 0.856 0.004 0.004 0.044 0.028 0.064
#> D9225689-21E0-478A-8F79-C26542938B8D 2 0.3651 0.7165 0.004 0.736 0.000 0.008 0.248 0.004
#> FC3BA46D-57F6-424C-8D62-16C441035969 2 0.3011 0.7330 0.004 0.800 0.000 0.000 0.192 0.004
#> 045CFFE6-4736-42F2-9340-C37690E47882 3 0.0000 0.9186 0.000 0.000 1.000 0.000 0.000 0.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 2 0.5729 0.1824 0.028 0.460 0.000 0.032 0.452 0.028
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 2 0.3628 0.7027 0.004 0.720 0.000 0.000 0.268 0.008
#> E94B217F-C5DC-4F42-8135-E81F338914B5 2 0.1814 0.7541 0.000 0.900 0.000 0.000 0.100 0.000
#> AE4C3956-76DF-4059-8D69-3D764F31817F 2 0.2278 0.7380 0.000 0.868 0.000 0.004 0.128 0.000
#> 33D6A38E-CD99-437B-99E0-04E72582F777 2 0.1908 0.7620 0.000 0.900 0.000 0.004 0.096 0.000
#> 8379051C-5847-42B5-AC5C-A128C166AB97 2 0.2053 0.7499 0.000 0.888 0.000 0.004 0.108 0.000
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 2 0.2118 0.7533 0.000 0.888 0.000 0.008 0.104 0.000
#> 40A16429-229E-4F40-BFC7-263554438F99 2 0.2562 0.7797 0.004 0.860 0.000 0.004 0.128 0.004
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 2 0.3616 0.7264 0.008 0.748 0.000 0.012 0.232 0.000
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 2 0.3728 0.7215 0.012 0.748 0.000 0.004 0.228 0.008
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 2 0.5714 0.5146 0.068 0.596 0.012 0.016 0.296 0.012
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 2 0.2234 0.7500 0.000 0.872 0.000 0.004 0.124 0.000
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#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 2 0.5776 0.3849 0.008 0.576 0.076 0.016 0.312 0.012
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#> F081EA01-ED14-491B-9620-BF8F10A7431D 2 0.3463 0.7235 0.008 0.748 0.000 0.004 0.240 0.000
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 2 0.1556 0.7580 0.000 0.920 0.000 0.000 0.080 0.000
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 2 0.2531 0.7570 0.004 0.860 0.000 0.008 0.128 0.000
#> B54639CE-F721-4908-B758-309F148AD3C2 2 0.2473 0.7753 0.000 0.856 0.000 0.000 0.136 0.008
#> EB4294E1-3FBC-495C-A041-829A654B59C5 6 0.5296 0.9165 0.152 0.000 0.260 0.000 0.000 0.588
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 2 0.7600 -0.2302 0.088 0.408 0.124 0.020 0.340 0.020
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.1327 0.7584 0.000 0.936 0.000 0.000 0.064 0.000
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 5 0.9117 0.2134 0.184 0.088 0.204 0.136 0.340 0.048
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.1141 0.7588 0.000 0.948 0.000 0.000 0.052 0.000
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 2 0.7764 -0.3394 0.128 0.388 0.128 0.016 0.324 0.016
#> D34036E4-1122-42AE-B20F-F4C8515872A0 2 0.1610 0.7560 0.000 0.916 0.000 0.000 0.084 0.000
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 2 0.1493 0.7720 0.004 0.936 0.000 0.004 0.056 0.000
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 2 0.5653 0.3430 0.016 0.532 0.000 0.024 0.376 0.052
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 3 0.0000 0.9186 0.000 0.000 1.000 0.000 0.000 0.000
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.1219 0.7636 0.000 0.948 0.000 0.004 0.048 0.000
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.1267 0.7596 0.000 0.940 0.000 0.000 0.060 0.000
#> F3C13430-405E-432E-8F3E-0DD18E86087E 2 0.3823 0.7445 0.004 0.740 0.008 0.008 0.236 0.004
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.1556 0.7720 0.000 0.920 0.000 0.000 0.080 0.000
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 2 0.5893 0.5474 0.032 0.612 0.056 0.004 0.264 0.032
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.1663 0.7532 0.000 0.912 0.000 0.000 0.088 0.000
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.1152 0.7661 0.000 0.952 0.000 0.004 0.044 0.000
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 2 0.5776 0.4793 0.048 0.588 0.000 0.020 0.300 0.044
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.2006 0.7613 0.000 0.892 0.000 0.004 0.104 0.000
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 5 0.9137 0.2118 0.184 0.088 0.204 0.140 0.336 0.048
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 5 0.6402 -0.0630 0.064 0.416 0.000 0.048 0.444 0.028
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 2 0.7449 -0.1712 0.196 0.400 0.000 0.032 0.308 0.064
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.2442 0.7737 0.000 0.852 0.000 0.004 0.144 0.000
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.0000 0.9186 0.000 0.000 1.000 0.000 0.000 0.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 6 0.5275 0.9366 0.168 0.000 0.232 0.000 0.000 0.600
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 2 0.4087 0.6043 0.000 0.692 0.000 0.004 0.276 0.028
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 2 0.2587 0.7750 0.004 0.864 0.000 0.008 0.120 0.004
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.2340 0.7457 0.000 0.852 0.000 0.000 0.148 0.000
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 2 0.5679 0.5402 0.056 0.628 0.000 0.068 0.240 0.008
#> 343F031B-0095-429D-8212-AD0581DBB05B 2 0.5704 0.3000 0.020 0.516 0.000 0.024 0.392 0.048
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 2 0.3023 0.7318 0.000 0.768 0.000 0.000 0.232 0.000
#> 03A226C5-398D-41D2-BB72-C97A373CD512 4 0.2766 0.3074 0.140 0.008 0.000 0.844 0.008 0.000
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 2 0.1910 0.7501 0.000 0.892 0.000 0.000 0.108 0.000
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 2 0.4637 0.6125 0.012 0.644 0.008 0.012 0.316 0.008
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 2 0.3415 0.7406 0.004 0.760 0.000 0.004 0.228 0.004
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.3121 0.7345 0.008 0.796 0.000 0.004 0.192 0.000
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.3074 0.7454 0.004 0.792 0.000 0.004 0.200 0.000
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.1267 0.7626 0.000 0.940 0.000 0.000 0.060 0.000
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.0000 0.9186 0.000 0.000 1.000 0.000 0.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.6125 0.4406 0.676 0.008 0.100 0.052 0.080 0.084
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.0146 0.9141 0.000 0.000 0.996 0.000 0.000 0.004
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 2 0.2631 0.7505 0.000 0.840 0.000 0.000 0.152 0.008
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 6 0.5275 0.9366 0.168 0.000 0.232 0.000 0.000 0.600
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.1007 0.7611 0.000 0.956 0.000 0.000 0.044 0.000
#> FC7821F4-6495-4545-A22A-764BB99B3F79 2 0.5342 0.5232 0.012 0.632 0.044 0.016 0.284 0.012
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.0935 0.7664 0.000 0.964 0.000 0.004 0.032 0.000
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.3096 0.7598 0.004 0.812 0.004 0.008 0.172 0.000
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.3187 0.7629 0.004 0.796 0.000 0.012 0.188 0.000
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.1204 0.7627 0.000 0.944 0.000 0.000 0.056 0.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 5 0.7634 0.2451 0.256 0.244 0.012 0.048 0.408 0.032
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 2 0.4260 0.6574 0.016 0.692 0.000 0.004 0.272 0.016
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.4706 0.4324 0.004 0.620 0.012 0.008 0.340 0.016
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0000 0.9186 0.000 0.000 1.000 0.000 0.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 2 0.4743 0.5806 0.024 0.624 0.000 0.004 0.328 0.020
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.2070 0.7647 0.000 0.896 0.000 0.012 0.092 0.000
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 2 0.6051 0.2903 0.036 0.512 0.000 0.028 0.372 0.052
#> BEE081CA-8420-4314-88A0-286BB30FFD65 2 0.4834 0.5466 0.024 0.604 0.000 0.008 0.348 0.016
#> C464CD1D-4519-48E8-A18A-403F691E5702 2 0.6135 0.3334 0.072 0.536 0.016 0.024 0.340 0.012
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.6171 0.0701 0.556 0.000 0.028 0.100 0.024 0.292
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.3699 0.7180 0.004 0.728 0.000 0.008 0.256 0.004
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.1267 0.7590 0.000 0.940 0.000 0.000 0.060 0.000
#> A563359B-0D55-4826-9229-62A89143C1C6 2 0.3977 0.6741 0.008 0.692 0.004 0.008 0.288 0.000
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 2 0.7828 -0.3485 0.108 0.368 0.124 0.024 0.356 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["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 17109 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 0.682 0.880 0.943 0.3138 0.675 0.675
#> 3 3 0.609 0.835 0.911 0.6326 0.762 0.664
#> 4 4 0.697 0.710 0.876 0.2966 0.752 0.544
#> 5 5 0.647 0.747 0.830 0.1254 0.765 0.425
#> 6 6 0.653 0.667 0.795 0.0664 0.908 0.657
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
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.0000 0.9575 0.000 1.000
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 2 0.0000 0.9575 0.000 1.000
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 2 0.0000 0.9575 0.000 1.000
#> 91202998-760F-4421-B1C4-18639962EDDA 2 0.0000 0.9575 0.000 1.000
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.0000 0.9575 0.000 1.000
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 2 0.0000 0.9575 0.000 1.000
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 2 0.0000 0.9575 0.000 1.000
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.0000 0.9575 0.000 1.000
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.0000 0.9575 0.000 1.000
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.0000 0.9575 0.000 1.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 2 0.0000 0.9575 0.000 1.000
#> 784B2359-6064-4FAA-9311-7A852F061FBB 2 0.0000 0.9575 0.000 1.000
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 2 0.0000 0.9575 0.000 1.000
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 2 0.6973 0.7310 0.188 0.812
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 1 0.0000 0.8401 1.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.0000 0.9575 0.000 1.000
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.7299 0.8229 0.796 0.204
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 2 0.0000 0.9575 0.000 1.000
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 2 0.0000 0.9575 0.000 1.000
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.7453 0.8148 0.788 0.212
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.0000 0.9575 0.000 1.000
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.0000 0.9575 0.000 1.000
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 2 0.0000 0.9575 0.000 1.000
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 2 0.7883 0.6472 0.236 0.764
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.0000 0.9575 0.000 1.000
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 2 0.0000 0.9575 0.000 1.000
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.0000 0.9575 0.000 1.000
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.0000 0.9575 0.000 1.000
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 1 0.0000 0.8401 1.000 0.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.0000 0.9575 0.000 1.000
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 2 0.0000 0.9575 0.000 1.000
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 2 0.0000 0.9575 0.000 1.000
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.0000 0.9575 0.000 1.000
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.0000 0.9575 0.000 1.000
#> 2846A3AC-D102-4E37-9B72-139ED727157A 2 0.0000 0.9575 0.000 1.000
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.0000 0.9575 0.000 1.000
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 2 0.6973 0.7310 0.188 0.812
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.7299 0.8229 0.796 0.204
#> 150F5B77-4848-4D68-800A-0A0236C3661F 2 0.0000 0.9575 0.000 1.000
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 2 0.9710 0.2000 0.400 0.600
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.0000 0.9575 0.000 1.000
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.0000 0.9575 0.000 1.000
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 1 0.9732 0.5182 0.596 0.404
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 2 0.0000 0.9575 0.000 1.000
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.0000 0.9575 0.000 1.000
#> 1447B543-D3AC-41B5-878F-B382FE49421B 2 0.0000 0.9575 0.000 1.000
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 2 0.0000 0.9575 0.000 1.000
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 2 0.0000 0.9575 0.000 1.000
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 1 0.0000 0.8401 1.000 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 2 0.0000 0.9575 0.000 1.000
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 2 0.0000 0.9575 0.000 1.000
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.7219 0.8239 0.800 0.200
#> D9225689-21E0-478A-8F79-C26542938B8D 2 0.0000 0.9575 0.000 1.000
#> FC3BA46D-57F6-424C-8D62-16C441035969 2 0.0000 0.9575 0.000 1.000
#> 045CFFE6-4736-42F2-9340-C37690E47882 1 0.0000 0.8401 1.000 0.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 1 0.9795 0.4871 0.584 0.416
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 2 0.0000 0.9575 0.000 1.000
#> E94B217F-C5DC-4F42-8135-E81F338914B5 2 0.0000 0.9575 0.000 1.000
#> AE4C3956-76DF-4059-8D69-3D764F31817F 2 0.0000 0.9575 0.000 1.000
#> 33D6A38E-CD99-437B-99E0-04E72582F777 2 0.0000 0.9575 0.000 1.000
#> 8379051C-5847-42B5-AC5C-A128C166AB97 2 0.0000 0.9575 0.000 1.000
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 2 0.0000 0.9575 0.000 1.000
#> 40A16429-229E-4F40-BFC7-263554438F99 2 0.0000 0.9575 0.000 1.000
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 2 0.0000 0.9575 0.000 1.000
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 2 0.0000 0.9575 0.000 1.000
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 2 0.6973 0.7310 0.188 0.812
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 2 0.0000 0.9575 0.000 1.000
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.0000 0.9575 0.000 1.000
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 2 0.0000 0.9575 0.000 1.000
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 2 0.0000 0.9575 0.000 1.000
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 2 0.0000 0.9575 0.000 1.000
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.0000 0.9575 0.000 1.000
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 2 0.0000 0.9575 0.000 1.000
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 2 0.0000 0.9575 0.000 1.000
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 2 0.0000 0.9575 0.000 1.000
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 2 0.0000 0.9575 0.000 1.000
#> FDB47AC4-CE6A-428B-9B55-EBCEF1970ACB 2 0.0000 0.9575 0.000 1.000
#> 133B7E7B-FD50-48A2-9A35-E6D44FAB976B 2 0.0000 0.9575 0.000 1.000
#> E69E45DA-66A6-438A-9BFC-5F1F7F5C5A87 2 0.0000 0.9575 0.000 1.000
#> 6E242DF5-8B8B-4C6F-870E-C7ADFFAFDF3E 2 0.0000 0.9575 0.000 1.000
#> CB7BBFF1-4BF3-42A9-85C6-680D91503799 2 0.0000 0.9575 0.000 1.000
#> 70AA4670-C75B-4E39-8958-3F9C29811871 2 0.0000 0.9575 0.000 1.000
#> D63C5178-4FF7-4FD0-B87E-6CBF6E7BEF5B 2 0.0000 0.9575 0.000 1.000
#> 814391F8-C5B9-43F6-A330-A6749BB8F16E 2 0.0000 0.9575 0.000 1.000
#> 146ED7EA-BF3C-4BAB-B33C-0A668AB13C80 2 0.0000 0.9575 0.000 1.000
#> FD5CAFE8-E669-406A-A505-A47DCDC32E93 2 0.0000 0.9575 0.000 1.000
#> 4B3C7910-A652-45B5-8218-9002EB0FD9EB 2 0.0000 0.9575 0.000 1.000
#> E410F77D-E31F-4D73-ACAC-9245935A92F5 2 0.0000 0.9575 0.000 1.000
#> 64336403-9037-480C-873A-67BC77119FA5 2 0.0000 0.9575 0.000 1.000
#> 6F9D5013-3B1B-41EE-85DB-E51F5D828DEF 2 0.0000 0.9575 0.000 1.000
#> 155AEBBD-1C12-4F88-90C7-1C7FF7E3FB2C 2 0.0000 0.9575 0.000 1.000
#> D28DDCAA-682C-451F-8327-D2C2AFB044E2 2 0.0000 0.9575 0.000 1.000
#> 171523DC-2713-4EBF-A115-53A0BA174545 1 0.0000 0.8401 1.000 0.000
#> FD223304-87BA-4462-A5E5-01AB8C018C35 2 0.0000 0.9575 0.000 1.000
#> D8E06D8A-9063-4466-A3B0-7724F4737C7A 2 0.0000 0.9575 0.000 1.000
#> FFA5FFF7-6301-4CD8-8E63-A4D8294D1B0E 2 0.0000 0.9575 0.000 1.000
#> AF3648D6-C774-48CC-9428-ADC00402A562 1 0.0000 0.8401 1.000 0.000
#> BD406B65-B715-444E-95B4-F38D05BAC863 2 0.0000 0.9575 0.000 1.000
#> 6DB67CA1-0BEB-4585-9867-40E7C8A96D55 2 0.0000 0.9575 0.000 1.000
#> 49C9DE1D-784D-405A-9DD3-C4D2890D0309 2 0.8267 0.5984 0.260 0.740
#> 05EC4D30-D34E-4497-B4F4-80AEDC2E70DF 1 0.7219 0.8239 0.800 0.200
#> CB69E76B-7CD3-49EF-9ADF-75701FE1D0A8 2 0.0000 0.9575 0.000 1.000
#> 103C6E25-A69A-460E-81C0-7437547E1334 2 0.0000 0.9575 0.000 1.000
#> 2D986DB0-B5A8-42E8-ACB8-926A16FAABD6 2 0.0000 0.9575 0.000 1.000
#> 1B9A0F24-8A3F-4693-B09C-5F0EFE5A32A5 2 0.7815 0.6549 0.232 0.768
#> C064D1FE-753E-4493-907C-C5FFE19F9875 2 0.0000 0.9575 0.000 1.000
#> 71596860-AEFA-4B94-8ADE-AC33CEA24DD4 2 0.0000 0.9575 0.000 1.000
#> E9A3A454-AB4D-4683-B276-84DA43792DBB 2 0.0376 0.9537 0.004 0.996
#> C5717869-8413-4810-A042-32E949AD3B0A 2 0.5737 0.8053 0.136 0.864
#> F36B393E-859C-49F8-BDF4-ED2CEF4C6307 2 0.0000 0.9575 0.000 1.000
#> 4CC9D3F9-983F-4CB2-91F1-0FBB86D53DC3 2 0.0000 0.9575 0.000 1.000
#> D450F074-CA68-49CE-B0B3-F81A91D54867 2 0.0000 0.9575 0.000 1.000
#> 2BBD504E-FE90-4142-9204-0E33B6B56C7E 2 0.0000 0.9575 0.000 1.000
#> 1A457CBF-24DA-44F1-B9ED-F26B8D1245D4 2 0.0000 0.9575 0.000 1.000
#> F29B5A39-866E-4C9D-BC26-B726FEA5F576 2 0.4562 0.8553 0.096 0.904
#> 89A4972A-8C91-4272-96BE-BCA9BC447780 2 0.0000 0.9575 0.000 1.000
#> 70B014FD-A0D0-418C-B55F-D09BAE213D52 2 0.0000 0.9575 0.000 1.000
#> 8139F417-0548-40B4-851F-A4E149A2E06A 2 0.0000 0.9575 0.000 1.000
#> 6E9F0021-FA91-4516-9B04-6A978034CECF 2 0.0000 0.9575 0.000 1.000
#> 49DAF1CD-8E20-433B-91A7-8C885ACB21A5 2 0.0000 0.9575 0.000 1.000
#> 093765A6-145C-47C3-B87B-4560CD632B4C 2 0.0000 0.9575 0.000 1.000
#> 90731001-45B2-4601-93F5-064BDD519A30 1 0.0000 0.8401 1.000 0.000
#> 40BCB65D-BC26-4FEF-941F-6F4A42D475EB 2 0.0000 0.9575 0.000 1.000
#> 204317C4-B927-4CAC-AADF-E16D19410ADB 2 0.0000 0.9575 0.000 1.000
#> 1023707A-D6DE-432A-AD2D-2318C3F91FA2 2 0.0000 0.9575 0.000 1.000
#> 06F79E8E-50E3-485A-82E9-C7CD4C72333B 2 0.0000 0.9575 0.000 1.000
#> BFAF5464-D239-4A03-AC34-984DEBA84451 2 0.0000 0.9575 0.000 1.000
#> 96C7C73E-F3E1-4937-A267-B7DAAD8EDE37 2 0.0000 0.9575 0.000 1.000
#> 1D94B33B-9A3F-40BA-90AF-5248ED058C6F 2 0.0000 0.9575 0.000 1.000
#> 3407B68D-0277-465B-8819-10FAE3EE6572 1 0.0000 0.8401 1.000 0.000
#> 868CD0D0-1CB4-4F61-B4ED-EB0C93DD950F 2 0.0000 0.9575 0.000 1.000
#> 823383C2-6F4D-4C0C-8640-3981A7ED1226 1 0.9710 0.5278 0.600 0.400
#> 95B76301-6382-4F6E-9E09-60EEFEEA03D5 2 0.0000 0.9575 0.000 1.000
#> 50A46A4F-883E-4DAA-BD16-FCCC5FA3FCD9 2 0.0000 0.9575 0.000 1.000
#> 5037DC80-5E81-4281-89A0-E0B58071B1D9 1 0.9710 0.5278 0.600 0.400
#> 6A228156-7365-4A4D-8E66-AA687BF37A24 1 0.7299 0.8229 0.796 0.204
#> 868C82CD-CB45-4EC9-96A8-77F0F4E0D874 2 0.0000 0.9575 0.000 1.000
#> 28F5861F-7081-4CE8-A917-941FCB6206FA 2 0.0000 0.9575 0.000 1.000
#> 1ED41271-3AA4-43F1-B43C-0D5C4F918FB8 2 0.0000 0.9575 0.000 1.000
#> 5A879DD8-EB7F-4EB6-9A9A-6D62438D8B95 2 0.0000 0.9575 0.000 1.000
#> 8B55B4E4-9222-4F69-AD4A-A92AC948F05E 2 0.0000 0.9575 0.000 1.000
#> 1DCE9448-495E-46D3-8953-D733BD68DFE6 2 0.0000 0.9575 0.000 1.000
#> C922BF2A-2A98-47CC-9127-1C1A2E38A6B6 1 0.2423 0.8390 0.960 0.040
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#> 20AE7513-EF62-4519-BE9B-B4E9F270C55A 2 0.0000 0.9575 0.000 1.000
#> 55F371E4-F7E9-45C2-A053-F9C8A0397F0C 1 0.0000 0.8401 1.000 0.000
#> 2EEE83B8-5A32-457E-8405-21B70A07280B 2 0.0000 0.9575 0.000 1.000
#> 3D66774D-66E5-4B18-85FF-77A179563B88 2 0.0000 0.9575 0.000 1.000
#> 58D1339C-B607-496B-AE85-5ECCD43636AD 2 0.0000 0.9575 0.000 1.000
#> B247508D-7C3B-45BF-929D-FFE756EDEF24 2 0.0000 0.9575 0.000 1.000
#> 43456F55-F4A1-4D9F-8571-ED3542C69416 1 0.7299 0.8229 0.796 0.204
#> 099D25C9-DAB1-4968-A07A-EF0856000694 2 0.0000 0.9575 0.000 1.000
#> EAD49D17-A396-41C2-AD5F-3E65EA19306B 2 0.0000 0.9575 0.000 1.000
#> 7D1F6CE8-FA36-477A-9313-E3799C5886AD 2 0.0000 0.9575 0.000 1.000
#> C2C2EA55-75D8-48B0-8E39-73CC523CA691 2 0.0000 0.9575 0.000 1.000
#> 218F1728-2967-447E-9BDD-F78E21265395 2 0.0000 0.9575 0.000 1.000
#> 658AA411-6DEB-46C9-B4D7-7175F7EC1620 2 0.7453 0.6911 0.212 0.788
#> EE0CCBE4-DF69-40F7-91B1-B7E7AC061C5B 1 0.0000 0.8401 1.000 0.000
#> 4FA18EA8-F6EA-40EE-847E-2896BD858C04 2 0.0000 0.9575 0.000 1.000
#> 05A6B3A7-2A08-4700-BC85-9968AD07D2F6 2 0.0000 0.9575 0.000 1.000
#> 5F220E8D-9FF6-43E5-A27D-DA4FC75536E1 2 0.0000 0.9575 0.000 1.000
#> 3D3EA6CC-35F0-416E-9FC8-394D005A2B0B 1 0.0000 0.8401 1.000 0.000
#> B5B13A86-3B16-43AD-B329-2C5AD46A308F 2 0.0000 0.9575 0.000 1.000
#> 2EBC7BE8-627B-4767-A4FE-14E933E40C1C 2 0.0000 0.9575 0.000 1.000
#> E332A10A-4FB0-4122-BB48-3050E0F73502 2 0.0000 0.9575 0.000 1.000
#> 0FF95060-00C3-4B53-B46F-6242872C1465 2 0.0000 0.9575 0.000 1.000
#> 51875568-DA72-4A62-9A19-2A61860B83C3 2 0.0000 0.9575 0.000 1.000
#> C4DB90C8-EB0B-4071-BD4F-EEB37E8ADC26 2 0.0000 0.9575 0.000 1.000
#> 55F8E6BA-AF16-4514-8845-1FCACB758812 1 0.0000 0.8401 1.000 0.000
#> 7F9B2F13-F387-4A54-920A-62C23D9BFB77 2 0.0000 0.9575 0.000 1.000
#> 248E5BD8-0458-43A1-B5D1-BDA14558421F 1 0.7950 0.7837 0.760 0.240
#> B150AB08-9BE5-4DBB-AB30-80C09B319E6D 2 0.0000 0.9575 0.000 1.000
#> 4DC8E477-9AA6-41F7-A7BB-EEEFAFD33256 2 0.6973 0.7310 0.188 0.812
#> 327E0B69-E439-4161-BD58-2E22C5D3A76F 1 0.7299 0.8229 0.796 0.204
#> 50F9B130-6BE8-483C-828F-15445492B631 2 0.0000 0.9575 0.000 1.000
#> D57E89FF-CC54-4FE9-A99B-2E75D407AB91 2 0.7815 0.6549 0.232 0.768
#> 659F3E30-3F80-49AF-9713-824F8D42BA74 2 0.6973 0.7310 0.188 0.812
#> 29E8ADB9-3F5D-497A-9A6B-85218AE2DB14 2 0.0000 0.9575 0.000 1.000
#> 73B58A54-E759-44FE-8B84-70D60C78066D 2 0.0376 0.9537 0.004 0.996
#> 4001EE2D-F208-465E-B718-01CCB9BD1C17 2 0.0000 0.9575 0.000 1.000
#> AFE61E30-D425-40CC-BC57-C210A0D03EFE 1 0.9710 0.5278 0.600 0.400
#> C06D79D5-4D8A-47D3-97CE-0E9BA204347C 2 0.0000 0.9575 0.000 1.000
#> 3975BE32-7E20-4EFC-9122-FE468544C5D9 2 0.0000 0.9575 0.000 1.000
#> 0FDC5030-92FC-44B5-AE62-6EC3EA9290BB 1 0.0000 0.8401 1.000 0.000
#> 8E3F8687-B00B-4FA9-84F2-F731B169FC45 2 0.0000 0.9575 0.000 1.000
#> 45CEDF59-BC7A-4D86-8C2D-9A91AC141D30 2 0.9522 0.2999 0.372 0.628
#> 4043BFE7-72A7-4A95-8CB2-53FDD574B7EA 2 0.0000 0.9575 0.000 1.000
#> 64D465E7-0DB8-46A1-8BF2-BBF59D23B7EB 2 0.0000 0.9575 0.000 1.000
#> 9824DFB4-0A1A-4BA4-B2DC-5348DA3D3AE6 2 0.0000 0.9575 0.000 1.000
#> 50ECFB2A-FF9D-4A8A-91CB-3902D3B670A0 2 0.0000 0.9575 0.000 1.000
#> 755D805B-B9F4-41D3-ACA7-2BB599C3D529 2 0.0000 0.9575 0.000 1.000
#> 0BA34100-8588-47B5-A962-4BD1916645B6 1 0.9710 0.5278 0.600 0.400
#> 9CE2E8D4-1AD1-4546-AD5D-D58193F79096 2 0.9427 0.3388 0.360 0.640
#> 92D7DB12-B0E0-4072-98FB-34B112E7728D 1 0.9710 0.5278 0.600 0.400
#> 79FD2101-0A9A-4EA7-A773-5EA8693138D0 2 0.0000 0.9575 0.000 1.000
#> A3A8937A-0B0B-4A68-AE68-81DA9CF7F4FB 2 0.9460 0.3261 0.364 0.636
#> 3EB3C0F8-4CBC-41A7-81E4-4D8A565441A7 2 0.0000 0.9575 0.000 1.000
#> 77EE3B54-FD7A-4ACF-879C-31667ADCCC5B 2 0.0000 0.9575 0.000 1.000
#> 327B2123-6DD8-4263-87DE-EE917E911DD4 2 0.0000 0.9575 0.000 1.000
#> 198A6AD0-79CD-40F5-A622-18AFBE78F2D2 1 0.7299 0.8229 0.796 0.204
#> EEE29DE1-F88C-4184-B499-5E86E2D252C4 1 0.9710 0.5278 0.600 0.400
#> 1E95EA22-BC41-4AAE-AFCC-F9281989A785 2 0.1184 0.9421 0.016 0.984
#> CD3AC0E4-88A9-4084-A2BE-AEE722CF6AA3 1 0.8081 0.7739 0.752 0.248
#> 8D7FABA2-764D-4795-BB04-D9E69E9792B9 1 0.6973 0.8256 0.812 0.188
#> DAC07889-EE06-46E0-B1F1-833ECC0A48A9 2 0.0000 0.9575 0.000 1.000
#> E7B555A3-567B-4A44-8225-D269E73FB50B 2 0.0000 0.9575 0.000 1.000
#> 3CC95101-C35F-4761-9D41-3C35BD55B37E 2 0.0000 0.9575 0.000 1.000
#> F62E5A69-5E81-4B2A-8CC0-F4D6E188B187 1 0.7219 0.8239 0.800 0.200
#> C650633B-A369-4657-8693-FDFBF22BD34E 2 0.0000 0.9575 0.000 1.000
#> 5E514217-F0DB-49FD-9C5D-EB22628ED297 2 0.0000 0.9575 0.000 1.000
#> 6E1DB9BF-06FE-48B1-A2D8-EF2CE7591364 2 0.0000 0.9575 0.000 1.000
#> C9581CE3-58B6-45B4-B4B7-15F555FD84A4 2 0.6712 0.7492 0.176 0.824
#> F56C26ED-9358-485B-8867-EBA1CAA4E2A7 2 0.0000 0.9575 0.000 1.000
#> 45CA3F9E-40EE-43A4-AE57-FE51D4003844 2 0.0000 0.9575 0.000 1.000
#> 47EFA063-19C1-4E1F-ACE8-68D9BAD0B995 2 0.6438 0.7667 0.164 0.836
#> 8C30EA0F-0DA1-43C7-81AE-DE825A53F114 2 0.0000 0.9575 0.000 1.000
#> 2CE7477C-DD09-4B3A-AD65-C696BE8C9B11 1 0.0672 0.8400 0.992 0.008
#> 4DECB19A-290F-4CEB-BE25-AAF9B9E2B58F 1 0.7299 0.8229 0.796 0.204
#> 3DEA9B14-DF42-43A0-AC4A-32AE7A16218D 2 0.0000 0.9575 0.000 1.000
#> 9F57D45B-C62F-44C5-AB9D-0CB54BBA16F5 2 0.0000 0.9575 0.000 1.000
#> 54ACCFD9-A8D6-4E4C-9097-1A0BE258AA1B 2 0.7815 0.6549 0.232 0.768
#> 9EE67DE9-9B56-4773-8F6A-1036D31F568E 2 0.0000 0.9575 0.000 1.000
#> 1B1C9301-D6D6-4F6B-80A3-3603013AA951 2 0.0000 0.9575 0.000 1.000
#> DDDCDF00-FB0A-477B-891B-2EE5E0C8F61E 1 0.0000 0.8401 1.000 0.000
#> 34A3260D-AC4D-416F-ADF0-24013048BC46 2 0.0000 0.9575 0.000 1.000
#> 671C1840-9C1B-4AC1-9564-78802489F763 1 0.7299 0.8229 0.796 0.204
#> BA4F7841-9FC3-4CE6-ACA5-43FC36641640 2 0.0000 0.9575 0.000 1.000
#> 24A02CE5-28E7-457E-8B90-4EACA528B072 1 0.7299 0.8229 0.796 0.204
#> C7008665-F6DE-48B4-A0E7-6C388B72C609 2 0.0000 0.9575 0.000 1.000
#> 50F984AB-95C1-4D7B-A787-418CBB59D165 2 0.0000 0.9575 0.000 1.000
#> 5FFD2A6A-ED8A-44A9-9FC1-3106341C284A 2 0.0000 0.9575 0.000 1.000
#> 7481630E-5CBA-4A4A-A16F-E327BCEE11D3 2 0.0376 0.9537 0.004 0.996
#> 7B3E6643-C148-4266-A3A3-80BAB713DD3E 2 0.0000 0.9575 0.000 1.000
#> BA8564FA-8D4D-4B2F-A178-63209F887A05 2 0.7056 0.7246 0.192 0.808
#> 2FB578F6-E8B7-434D-9720-D448A26C1EFD 1 0.7299 0.8229 0.796 0.204
#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 2 0.0000 0.9575 0.000 1.000
#> 740FCE46-8A4A-4A6A-B79F-78A63D28E313 2 0.0000 0.9575 0.000 1.000
#> 523A5832-0C42-44A4-A58F-7011C3A567DC 1 0.0000 0.8401 1.000 0.000
#> A2C68C81-7371-4E0C-BFD1-EA868A7C9499 2 0.0000 0.9575 0.000 1.000
#> 2EB7025A-D932-4238-BD60-609B25150029 2 0.0000 0.9575 0.000 1.000
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 2 0.0000 0.9575 0.000 1.000
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 2 0.0000 0.9575 0.000 1.000
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 2 0.0000 0.9575 0.000 1.000
#> F081EA01-ED14-491B-9620-BF8F10A7431D 2 0.0000 0.9575 0.000 1.000
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 2 0.0000 0.9575 0.000 1.000
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 2 0.0000 0.9575 0.000 1.000
#> B54639CE-F721-4908-B758-309F148AD3C2 2 0.0000 0.9575 0.000 1.000
#> EB4294E1-3FBC-495C-A041-829A654B59C5 1 0.0000 0.8401 1.000 0.000
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 2 0.7745 0.6624 0.228 0.772
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.0000 0.9575 0.000 1.000
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 1 0.7299 0.8229 0.796 0.204
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.0000 0.9575 0.000 1.000
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 1 0.9732 0.5182 0.596 0.404
#> D34036E4-1122-42AE-B20F-F4C8515872A0 2 0.0000 0.9575 0.000 1.000
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 2 0.0000 0.9575 0.000 1.000
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 2 0.6438 0.7667 0.164 0.836
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 1 0.0000 0.8401 1.000 0.000
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.0000 0.9575 0.000 1.000
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.0000 0.9575 0.000 1.000
#> F3C13430-405E-432E-8F3E-0DD18E86087E 2 0.0000 0.9575 0.000 1.000
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.0000 0.9575 0.000 1.000
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 2 0.6973 0.7310 0.188 0.812
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.0000 0.9575 0.000 1.000
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.0000 0.9575 0.000 1.000
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 2 0.0000 0.9575 0.000 1.000
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.0000 0.9575 0.000 1.000
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.7299 0.8229 0.796 0.204
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 2 0.0000 0.9575 0.000 1.000
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 2 0.6973 0.7310 0.188 0.812
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.0000 0.9575 0.000 1.000
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 1 0.0000 0.8401 1.000 0.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 1 0.0000 0.8401 1.000 0.000
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 2 0.0000 0.9575 0.000 1.000
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 2 0.0000 0.9575 0.000 1.000
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.0000 0.9575 0.000 1.000
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 2 0.0000 0.9575 0.000 1.000
#> 343F031B-0095-429D-8212-AD0581DBB05B 2 0.0000 0.9575 0.000 1.000
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 2 0.0000 0.9575 0.000 1.000
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.7299 0.8229 0.796 0.204
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 2 0.0000 0.9575 0.000 1.000
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 2 0.0000 0.9575 0.000 1.000
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 2 0.0000 0.9575 0.000 1.000
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.0000 0.9575 0.000 1.000
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.0000 0.9575 0.000 1.000
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.0000 0.9575 0.000 1.000
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 1 0.0000 0.8401 1.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.7299 0.8229 0.796 0.204
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 1 0.0000 0.8401 1.000 0.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 2 0.0000 0.9575 0.000 1.000
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 1 0.0000 0.8401 1.000 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.0000 0.9575 0.000 1.000
#> FC7821F4-6495-4545-A22A-764BB99B3F79 2 0.0000 0.9575 0.000 1.000
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.0000 0.9575 0.000 1.000
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.0000 0.9575 0.000 1.000
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.0000 0.9575 0.000 1.000
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.0000 0.9575 0.000 1.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 2 0.0000 0.9575 0.000 1.000
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 2 0.0000 0.9575 0.000 1.000
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.0000 0.9575 0.000 1.000
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 1 0.0000 0.8401 1.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 2 0.0000 0.9575 0.000 1.000
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.0000 0.9575 0.000 1.000
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 2 0.6438 0.7667 0.164 0.836
#> BEE081CA-8420-4314-88A0-286BB30FFD65 2 0.0000 0.9575 0.000 1.000
#> C464CD1D-4519-48E8-A18A-403F691E5702 2 0.6973 0.7310 0.188 0.812
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.0000 0.8401 1.000 0.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.0000 0.9575 0.000 1.000
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0000 0.9575 0.000 1.000
#> A563359B-0D55-4826-9229-62A89143C1C6 1 1.0000 0.2324 0.504 0.496
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 2 0.7745 0.6624 0.228 0.772
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.0000 0.9064 0.000 1.000 0.000
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 2 0.5098 0.7568 0.248 0.752 0.000
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 2 0.0000 0.9064 0.000 1.000 0.000
#> 91202998-760F-4421-B1C4-18639962EDDA 1 0.2448 0.7434 0.924 0.076 0.000
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.0000 0.9064 0.000 1.000 0.000
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 2 0.4452 0.7988 0.192 0.808 0.000
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 2 0.5098 0.7568 0.248 0.752 0.000
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.3038 0.8547 0.104 0.896 0.000
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.0000 0.9064 0.000 1.000 0.000
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.0000 0.9064 0.000 1.000 0.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 2 0.5098 0.7568 0.248 0.752 0.000
#> 784B2359-6064-4FAA-9311-7A852F061FBB 2 0.5098 0.7568 0.248 0.752 0.000
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 2 0.0000 0.9064 0.000 1.000 0.000
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 1 0.5098 0.7374 0.752 0.248 0.000
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0237 1.0000 0.004 0.000 0.996
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.0000 0.9064 0.000 1.000 0.000
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.4253 0.7851 0.872 0.080 0.048
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 2 0.5098 0.7568 0.248 0.752 0.000
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#> C06D79D5-4D8A-47D3-97CE-0E9BA204347C 2 0.5098 0.7568 0.248 0.752 0.000
#> 3975BE32-7E20-4EFC-9122-FE468544C5D9 2 0.4842 0.7759 0.224 0.776 0.000
#> 0FDC5030-92FC-44B5-AE62-6EC3EA9290BB 3 0.0237 1.0000 0.004 0.000 0.996
#> 8E3F8687-B00B-4FA9-84F2-F731B169FC45 2 0.0000 0.9064 0.000 1.000 0.000
#> 45CEDF59-BC7A-4D86-8C2D-9A91AC141D30 1 0.0000 0.7824 1.000 0.000 0.000
#> 4043BFE7-72A7-4A95-8CB2-53FDD574B7EA 2 0.5098 0.7568 0.248 0.752 0.000
#> 64D465E7-0DB8-46A1-8BF2-BBF59D23B7EB 2 0.0000 0.9064 0.000 1.000 0.000
#> 9824DFB4-0A1A-4BA4-B2DC-5348DA3D3AE6 2 0.0000 0.9064 0.000 1.000 0.000
#> 50ECFB2A-FF9D-4A8A-91CB-3902D3B670A0 2 0.0000 0.9064 0.000 1.000 0.000
#> 755D805B-B9F4-41D3-ACA7-2BB599C3D529 2 0.0000 0.9064 0.000 1.000 0.000
#> 0BA34100-8588-47B5-A962-4BD1916645B6 1 0.0000 0.7824 1.000 0.000 0.000
#> 9CE2E8D4-1AD1-4546-AD5D-D58193F79096 1 0.0000 0.7824 1.000 0.000 0.000
#> 92D7DB12-B0E0-4072-98FB-34B112E7728D 1 0.5431 0.7119 0.716 0.284 0.000
#> 79FD2101-0A9A-4EA7-A773-5EA8693138D0 2 0.0000 0.9064 0.000 1.000 0.000
#> A3A8937A-0B0B-4A68-AE68-81DA9CF7F4FB 1 0.0000 0.7824 1.000 0.000 0.000
#> 3EB3C0F8-4CBC-41A7-81E4-4D8A565441A7 2 0.5098 0.7568 0.248 0.752 0.000
#> 77EE3B54-FD7A-4ACF-879C-31667ADCCC5B 2 0.0000 0.9064 0.000 1.000 0.000
#> 327B2123-6DD8-4263-87DE-EE917E911DD4 2 0.5098 0.7568 0.248 0.752 0.000
#> 198A6AD0-79CD-40F5-A622-18AFBE78F2D2 1 0.1643 0.7770 0.956 0.000 0.044
#> EEE29DE1-F88C-4184-B499-5E86E2D252C4 1 0.0237 0.7817 0.996 0.000 0.004
#> 1E95EA22-BC41-4AAE-AFCC-F9281989A785 1 0.1411 0.7727 0.964 0.036 0.000
#> CD3AC0E4-88A9-4084-A2BE-AEE722CF6AA3 1 0.5493 0.7446 0.756 0.232 0.012
#> 8D7FABA2-764D-4795-BB04-D9E69E9792B9 1 0.6349 0.7497 0.768 0.140 0.092
#> DAC07889-EE06-46E0-B1F1-833ECC0A48A9 2 0.0000 0.9064 0.000 1.000 0.000
#> E7B555A3-567B-4A44-8225-D269E73FB50B 2 0.0000 0.9064 0.000 1.000 0.000
#> 3CC95101-C35F-4761-9D41-3C35BD55B37E 2 0.0424 0.9035 0.008 0.992 0.000
#> F62E5A69-5E81-4B2A-8CC0-F4D6E188B187 1 0.6349 0.7543 0.764 0.156 0.080
#> C650633B-A369-4657-8693-FDFBF22BD34E 2 0.0747 0.9002 0.016 0.984 0.000
#> 5E514217-F0DB-49FD-9C5D-EB22628ED297 2 0.0000 0.9064 0.000 1.000 0.000
#> 6E1DB9BF-06FE-48B1-A2D8-EF2CE7591364 2 0.0000 0.9064 0.000 1.000 0.000
#> C9581CE3-58B6-45B4-B4B7-15F555FD84A4 1 0.1289 0.7745 0.968 0.032 0.000
#> F56C26ED-9358-485B-8867-EBA1CAA4E2A7 2 0.0000 0.9064 0.000 1.000 0.000
#> 45CA3F9E-40EE-43A4-AE57-FE51D4003844 2 0.0000 0.9064 0.000 1.000 0.000
#> 47EFA063-19C1-4E1F-ACE8-68D9BAD0B995 1 0.4178 0.7788 0.828 0.172 0.000
#> 8C30EA0F-0DA1-43C7-81AE-DE825A53F114 2 0.5098 0.7568 0.248 0.752 0.000
#> 2CE7477C-DD09-4B3A-AD65-C696BE8C9B11 1 0.5967 0.6584 0.752 0.032 0.216
#> 4DECB19A-290F-4CEB-BE25-AAF9B9E2B58F 1 0.6266 0.7542 0.768 0.156 0.076
#> 3DEA9B14-DF42-43A0-AC4A-32AE7A16218D 2 0.0000 0.9064 0.000 1.000 0.000
#> 9F57D45B-C62F-44C5-AB9D-0CB54BBA16F5 2 0.3879 0.8255 0.152 0.848 0.000
#> 54ACCFD9-A8D6-4E4C-9097-1A0BE258AA1B 1 0.5070 0.7536 0.772 0.224 0.004
#> 9EE67DE9-9B56-4773-8F6A-1036D31F568E 2 0.5098 0.7568 0.248 0.752 0.000
#> 1B1C9301-D6D6-4F6B-80A3-3603013AA951 2 0.1529 0.8894 0.040 0.960 0.000
#> DDDCDF00-FB0A-477B-891B-2EE5E0C8F61E 3 0.0237 1.0000 0.004 0.000 0.996
#> 34A3260D-AC4D-416F-ADF0-24013048BC46 2 0.1753 0.8697 0.048 0.952 0.000
#> 671C1840-9C1B-4AC1-9564-78802489F763 1 0.6324 0.7525 0.764 0.160 0.076
#> BA4F7841-9FC3-4CE6-ACA5-43FC36641640 2 0.0237 0.9042 0.000 0.996 0.004
#> 24A02CE5-28E7-457E-8B90-4EACA528B072 1 0.6490 0.7459 0.752 0.172 0.076
#> C7008665-F6DE-48B4-A0E7-6C388B72C609 2 0.0000 0.9064 0.000 1.000 0.000
#> 50F984AB-95C1-4D7B-A787-418CBB59D165 1 0.5431 0.4932 0.716 0.284 0.000
#> 5FFD2A6A-ED8A-44A9-9FC1-3106341C284A 2 0.0000 0.9064 0.000 1.000 0.000
#> 7481630E-5CBA-4A4A-A16F-E327BCEE11D3 1 0.5327 0.7234 0.728 0.272 0.000
#> 7B3E6643-C148-4266-A3A3-80BAB713DD3E 2 0.0000 0.9064 0.000 1.000 0.000
#> BA8564FA-8D4D-4B2F-A178-63209F887A05 1 0.5098 0.7374 0.752 0.248 0.000
#> 2FB578F6-E8B7-434D-9720-D448A26C1EFD 1 0.6490 0.7459 0.752 0.172 0.076
#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 2 0.0000 0.9064 0.000 1.000 0.000
#> 740FCE46-8A4A-4A6A-B79F-78A63D28E313 2 0.0000 0.9064 0.000 1.000 0.000
#> 523A5832-0C42-44A4-A58F-7011C3A567DC 3 0.0237 1.0000 0.004 0.000 0.996
#> A2C68C81-7371-4E0C-BFD1-EA868A7C9499 2 0.0000 0.9064 0.000 1.000 0.000
#> 2EB7025A-D932-4238-BD60-609B25150029 2 0.0000 0.9064 0.000 1.000 0.000
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 2 0.0000 0.9064 0.000 1.000 0.000
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 2 0.0000 0.9064 0.000 1.000 0.000
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 2 0.0000 0.9064 0.000 1.000 0.000
#> F081EA01-ED14-491B-9620-BF8F10A7431D 2 0.0000 0.9064 0.000 1.000 0.000
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 2 0.0000 0.9064 0.000 1.000 0.000
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 2 0.5098 0.7568 0.248 0.752 0.000
#> B54639CE-F721-4908-B758-309F148AD3C2 2 0.0000 0.9064 0.000 1.000 0.000
#> EB4294E1-3FBC-495C-A041-829A654B59C5 3 0.0237 1.0000 0.004 0.000 0.996
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 1 0.5363 0.7196 0.724 0.276 0.000
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.0000 0.9064 0.000 1.000 0.000
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 1 0.6490 0.7459 0.752 0.172 0.076
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.0000 0.9064 0.000 1.000 0.000
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 1 0.5098 0.7374 0.752 0.248 0.000
#> D34036E4-1122-42AE-B20F-F4C8515872A0 2 0.0000 0.9064 0.000 1.000 0.000
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 2 0.0000 0.9064 0.000 1.000 0.000
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 1 0.1031 0.7780 0.976 0.024 0.000
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 3 0.0237 1.0000 0.004 0.000 0.996
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.0000 0.9064 0.000 1.000 0.000
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.0000 0.9064 0.000 1.000 0.000
#> F3C13430-405E-432E-8F3E-0DD18E86087E 2 0.0000 0.9064 0.000 1.000 0.000
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.0000 0.9064 0.000 1.000 0.000
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 1 0.4002 0.7825 0.840 0.160 0.000
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.0000 0.9064 0.000 1.000 0.000
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.1643 0.8876 0.044 0.956 0.000
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 1 0.6225 0.4983 0.568 0.432 0.000
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.0000 0.9064 0.000 1.000 0.000
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.5731 0.7433 0.752 0.228 0.020
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 1 0.0237 0.7826 0.996 0.004 0.000
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 1 0.4605 0.7664 0.796 0.204 0.000
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.0000 0.9064 0.000 1.000 0.000
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.0237 1.0000 0.004 0.000 0.996
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.0237 1.0000 0.004 0.000 0.996
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 2 0.0000 0.9064 0.000 1.000 0.000
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 2 0.3551 0.8383 0.132 0.868 0.000
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.0592 0.8982 0.012 0.988 0.000
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 2 0.6305 0.2955 0.484 0.516 0.000
#> 343F031B-0095-429D-8212-AD0581DBB05B 2 0.5327 0.7307 0.272 0.728 0.000
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 2 0.0000 0.9064 0.000 1.000 0.000
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.1643 0.7780 0.956 0.000 0.044
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 2 0.5098 0.7568 0.248 0.752 0.000
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 2 0.0592 0.9019 0.012 0.988 0.000
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 2 0.0000 0.9064 0.000 1.000 0.000
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.0000 0.9064 0.000 1.000 0.000
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.0000 0.9064 0.000 1.000 0.000
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.4121 0.8145 0.168 0.832 0.000
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.0237 1.0000 0.004 0.000 0.996
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.1860 0.7750 0.948 0.000 0.052
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.0237 1.0000 0.004 0.000 0.996
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 2 0.5098 0.7568 0.248 0.752 0.000
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.0237 1.0000 0.004 0.000 0.996
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.0000 0.9064 0.000 1.000 0.000
#> FC7821F4-6495-4545-A22A-764BB99B3F79 2 0.1411 0.8798 0.036 0.964 0.000
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.0000 0.9064 0.000 1.000 0.000
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.0000 0.9064 0.000 1.000 0.000
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.1289 0.8933 0.032 0.968 0.000
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.0000 0.9064 0.000 1.000 0.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 2 0.5327 0.5081 0.272 0.728 0.000
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 2 0.5098 0.7568 0.248 0.752 0.000
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.0592 0.8982 0.012 0.988 0.000
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0237 1.0000 0.004 0.000 0.996
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 2 0.0747 0.9000 0.016 0.984 0.000
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.4235 0.8092 0.176 0.824 0.000
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 1 0.1163 0.7766 0.972 0.028 0.000
#> BEE081CA-8420-4314-88A0-286BB30FFD65 2 0.5098 0.7568 0.248 0.752 0.000
#> C464CD1D-4519-48E8-A18A-403F691E5702 1 0.5363 0.7196 0.724 0.276 0.000
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.5098 0.6199 0.752 0.000 0.248
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.0000 0.9064 0.000 1.000 0.000
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0000 0.9064 0.000 1.000 0.000
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.5363 0.7196 0.724 0.276 0.000
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.5098 0.7374 0.752 0.248 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.1489 0.836998 0.044 0.952 0.000 0.004
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 4 0.1474 0.787818 0.000 0.052 0.000 0.948
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 2 0.1256 0.842401 0.008 0.964 0.000 0.028
#> 91202998-760F-4421-B1C4-18639962EDDA 4 0.0336 0.778250 0.008 0.000 0.000 0.992
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.0188 0.853230 0.000 0.996 0.000 0.004
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 4 0.3074 0.731530 0.000 0.152 0.000 0.848
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 4 0.0921 0.787664 0.000 0.028 0.000 0.972
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.2345 0.770153 0.000 0.900 0.000 0.100
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.0336 0.852633 0.000 0.992 0.000 0.008
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.0000 0.853125 0.000 1.000 0.000 0.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 4 0.0707 0.786103 0.000 0.020 0.000 0.980
#> 784B2359-6064-4FAA-9311-7A852F061FBB 4 0.1557 0.786391 0.000 0.056 0.000 0.944
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 2 0.0188 0.853230 0.000 0.996 0.000 0.004
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 1 0.5646 0.453893 0.656 0.048 0.000 0.296
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0000 0.998693 0.000 0.000 1.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.0000 0.853125 0.000 1.000 0.000 0.000
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.1302 0.828408 0.956 0.000 0.000 0.044
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 4 0.1474 0.787818 0.000 0.052 0.000 0.948
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 4 0.4746 0.442230 0.000 0.368 0.000 0.632
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.0188 0.819489 0.996 0.000 0.000 0.004
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.1635 0.838036 0.044 0.948 0.000 0.008
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.0188 0.853230 0.000 0.996 0.000 0.004
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 2 0.6240 0.327306 0.064 0.568 0.000 0.368
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 4 0.3688 0.540648 0.208 0.000 0.000 0.792
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.0376 0.851783 0.004 0.992 0.000 0.004
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 2 0.5000 -0.043500 0.000 0.500 0.000 0.500
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.0188 0.853230 0.000 0.996 0.000 0.004
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.0336 0.852633 0.000 0.992 0.000 0.008
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.0188 0.997612 0.000 0.000 0.996 0.004
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.2840 0.807191 0.044 0.900 0.000 0.056
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 4 0.4790 0.418966 0.000 0.380 0.000 0.620
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 2 0.6038 0.214411 0.044 0.532 0.000 0.424
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.0336 0.852633 0.000 0.992 0.000 0.008
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.0188 0.853230 0.000 0.996 0.000 0.004
#> 2846A3AC-D102-4E37-9B72-139ED727157A 2 0.1305 0.840652 0.036 0.960 0.000 0.004
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.1807 0.833558 0.052 0.940 0.000 0.008
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 4 0.0592 0.774968 0.016 0.000 0.000 0.984
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.1302 0.828408 0.956 0.000 0.000 0.044
#> 150F5B77-4848-4D68-800A-0A0236C3661F 2 0.0336 0.852633 0.000 0.992 0.000 0.008
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#> 4DC8E477-9AA6-41F7-A7BB-EEEFAFD33256 4 0.0592 0.774968 0.016 0.000 0.000 0.984
#> 327E0B69-E439-4161-BD58-2E22C5D3A76F 1 0.0188 0.819489 0.996 0.000 0.000 0.004
#> 50F9B130-6BE8-483C-828F-15445492B631 4 0.5000 0.137436 0.000 0.496 0.000 0.504
#> D57E89FF-CC54-4FE9-A99B-2E75D407AB91 4 0.3801 0.557077 0.220 0.000 0.000 0.780
#> 659F3E30-3F80-49AF-9713-824F8D42BA74 4 0.0592 0.774968 0.016 0.000 0.000 0.984
#> 29E8ADB9-3F5D-497A-9A6B-85218AE2DB14 2 0.1489 0.836998 0.044 0.952 0.000 0.004
#> 73B58A54-E759-44FE-8B84-70D60C78066D 4 0.0592 0.774968 0.016 0.000 0.000 0.984
#> 4001EE2D-F208-465E-B718-01CCB9BD1C17 2 0.1489 0.836998 0.044 0.952 0.000 0.004
#> AFE61E30-D425-40CC-BC57-C210A0D03EFE 1 0.1302 0.828408 0.956 0.000 0.000 0.044
#> C06D79D5-4D8A-47D3-97CE-0E9BA204347C 4 0.4855 0.376780 0.000 0.400 0.000 0.600
#> 3975BE32-7E20-4EFC-9122-FE468544C5D9 4 0.2048 0.780637 0.008 0.064 0.000 0.928
#> 0FDC5030-92FC-44B5-AE62-6EC3EA9290BB 3 0.0188 0.997612 0.000 0.000 0.996 0.004
#> 8E3F8687-B00B-4FA9-84F2-F731B169FC45 2 0.5713 0.378036 0.036 0.604 0.000 0.360
#> 45CEDF59-BC7A-4D86-8C2D-9A91AC141D30 4 0.0817 0.770468 0.024 0.000 0.000 0.976
#> 4043BFE7-72A7-4A95-8CB2-53FDD574B7EA 4 0.0707 0.786103 0.000 0.020 0.000 0.980
#> 64D465E7-0DB8-46A1-8BF2-BBF59D23B7EB 2 0.0188 0.853230 0.000 0.996 0.000 0.004
#> 9824DFB4-0A1A-4BA4-B2DC-5348DA3D3AE6 2 0.1489 0.836998 0.044 0.952 0.000 0.004
#> 50ECFB2A-FF9D-4A8A-91CB-3902D3B670A0 2 0.1489 0.836998 0.044 0.952 0.000 0.004
#> 755D805B-B9F4-41D3-ACA7-2BB599C3D529 2 0.1635 0.835863 0.044 0.948 0.000 0.008
#> 0BA34100-8588-47B5-A962-4BD1916645B6 1 0.1302 0.828408 0.956 0.000 0.000 0.044
#> 9CE2E8D4-1AD1-4546-AD5D-D58193F79096 4 0.0817 0.770468 0.024 0.000 0.000 0.976
#> 92D7DB12-B0E0-4072-98FB-34B112E7728D 2 0.7822 -0.072993 0.256 0.380 0.000 0.364
#> 79FD2101-0A9A-4EA7-A773-5EA8693138D0 2 0.0336 0.852633 0.000 0.992 0.000 0.008
#> A3A8937A-0B0B-4A68-AE68-81DA9CF7F4FB 4 0.0592 0.774968 0.016 0.000 0.000 0.984
#> 3EB3C0F8-4CBC-41A7-81E4-4D8A565441A7 4 0.0779 0.785110 0.004 0.016 0.000 0.980
#> 77EE3B54-FD7A-4ACF-879C-31667ADCCC5B 2 0.0188 0.853230 0.000 0.996 0.000 0.004
#> 327B2123-6DD8-4263-87DE-EE917E911DD4 4 0.1474 0.787818 0.000 0.052 0.000 0.948
#> 198A6AD0-79CD-40F5-A622-18AFBE78F2D2 1 0.1302 0.828408 0.956 0.000 0.000 0.044
#> EEE29DE1-F88C-4184-B499-5E86E2D252C4 1 0.4996 0.247363 0.516 0.000 0.000 0.484
#> 1E95EA22-BC41-4AAE-AFCC-F9281989A785 4 0.0592 0.774968 0.016 0.000 0.000 0.984
#> CD3AC0E4-88A9-4084-A2BE-AEE722CF6AA3 1 0.0188 0.819489 0.996 0.000 0.000 0.004
#> 8D7FABA2-764D-4795-BB04-D9E69E9792B9 1 0.1022 0.828042 0.968 0.000 0.000 0.032
#> DAC07889-EE06-46E0-B1F1-833ECC0A48A9 2 0.0336 0.852633 0.000 0.992 0.000 0.008
#> E7B555A3-567B-4A44-8225-D269E73FB50B 2 0.5921 0.139980 0.036 0.516 0.000 0.448
#> 3CC95101-C35F-4761-9D41-3C35BD55B37E 2 0.0707 0.845649 0.000 0.980 0.000 0.020
#> F62E5A69-5E81-4B2A-8CC0-F4D6E188B187 1 0.1302 0.828408 0.956 0.000 0.000 0.044
#> C650633B-A369-4657-8693-FDFBF22BD34E 2 0.5793 0.323798 0.036 0.580 0.000 0.384
#> 5E514217-F0DB-49FD-9C5D-EB22628ED297 2 0.0336 0.852633 0.000 0.992 0.000 0.008
#> 6E1DB9BF-06FE-48B1-A2D8-EF2CE7591364 2 0.0000 0.853125 0.000 1.000 0.000 0.000
#> C9581CE3-58B6-45B4-B4B7-15F555FD84A4 4 0.0592 0.774968 0.016 0.000 0.000 0.984
#> F56C26ED-9358-485B-8867-EBA1CAA4E2A7 2 0.1489 0.836998 0.044 0.952 0.000 0.004
#> 45CA3F9E-40EE-43A4-AE57-FE51D4003844 2 0.0336 0.852633 0.000 0.992 0.000 0.008
#> 47EFA063-19C1-4E1F-ACE8-68D9BAD0B995 1 0.3837 0.625210 0.776 0.000 0.000 0.224
#> 8C30EA0F-0DA1-43C7-81AE-DE825A53F114 4 0.1389 0.787892 0.000 0.048 0.000 0.952
#> 2CE7477C-DD09-4B3A-AD65-C696BE8C9B11 1 0.1584 0.822799 0.952 0.000 0.012 0.036
#> 4DECB19A-290F-4CEB-BE25-AAF9B9E2B58F 1 0.1302 0.828408 0.956 0.000 0.000 0.044
#> 3DEA9B14-DF42-43A0-AC4A-32AE7A16218D 2 0.5220 0.404847 0.016 0.632 0.000 0.352
#> 9F57D45B-C62F-44C5-AB9D-0CB54BBA16F5 2 0.4220 0.603931 0.004 0.748 0.000 0.248
#> 54ACCFD9-A8D6-4E4C-9097-1A0BE258AA1B 1 0.1854 0.798374 0.940 0.048 0.000 0.012
#> 9EE67DE9-9B56-4773-8F6A-1036D31F568E 4 0.1474 0.787818 0.000 0.052 0.000 0.948
#> 1B1C9301-D6D6-4F6B-80A3-3603013AA951 2 0.1302 0.826489 0.000 0.956 0.000 0.044
#> DDDCDF00-FB0A-477B-891B-2EE5E0C8F61E 3 0.0000 0.998693 0.000 0.000 1.000 0.000
#> 34A3260D-AC4D-416F-ADF0-24013048BC46 2 0.3450 0.753323 0.156 0.836 0.000 0.008
#> 671C1840-9C1B-4AC1-9564-78802489F763 1 0.1022 0.828042 0.968 0.000 0.000 0.032
#> BA4F7841-9FC3-4CE6-ACA5-43FC36641640 2 0.1211 0.840396 0.040 0.960 0.000 0.000
#> 24A02CE5-28E7-457E-8B90-4EACA528B072 1 0.0336 0.823521 0.992 0.000 0.000 0.008
#> C7008665-F6DE-48B4-A0E7-6C388B72C609 2 0.0188 0.853230 0.000 0.996 0.000 0.004
#> 50F984AB-95C1-4D7B-A787-418CBB59D165 4 0.0469 0.776565 0.012 0.000 0.000 0.988
#> 5FFD2A6A-ED8A-44A9-9FC1-3106341C284A 2 0.0336 0.852633 0.000 0.992 0.000 0.008
#> 7481630E-5CBA-4A4A-A16F-E327BCEE11D3 4 0.7714 0.106841 0.224 0.376 0.000 0.400
#> 7B3E6643-C148-4266-A3A3-80BAB713DD3E 2 0.0336 0.852633 0.000 0.992 0.000 0.008
#> BA8564FA-8D4D-4B2F-A178-63209F887A05 1 0.7290 0.180120 0.504 0.168 0.000 0.328
#> 2FB578F6-E8B7-434D-9720-D448A26C1EFD 1 0.0000 0.821063 1.000 0.000 0.000 0.000
#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 2 0.1489 0.836998 0.044 0.952 0.000 0.004
#> 740FCE46-8A4A-4A6A-B79F-78A63D28E313 2 0.0336 0.851654 0.008 0.992 0.000 0.000
#> 523A5832-0C42-44A4-A58F-7011C3A567DC 3 0.0000 0.998693 0.000 0.000 1.000 0.000
#> A2C68C81-7371-4E0C-BFD1-EA868A7C9499 2 0.0000 0.853125 0.000 1.000 0.000 0.000
#> 2EB7025A-D932-4238-BD60-609B25150029 2 0.5989 0.280843 0.044 0.556 0.000 0.400
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 2 0.0336 0.852633 0.000 0.992 0.000 0.008
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 2 0.0524 0.852173 0.008 0.988 0.000 0.004
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 2 0.0336 0.852633 0.000 0.992 0.000 0.008
#> F081EA01-ED14-491B-9620-BF8F10A7431D 4 0.5774 0.066937 0.028 0.464 0.000 0.508
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 2 0.0336 0.851654 0.008 0.992 0.000 0.000
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 4 0.1474 0.787818 0.000 0.052 0.000 0.948
#> B54639CE-F721-4908-B758-309F148AD3C2 2 0.1867 0.810995 0.000 0.928 0.000 0.072
#> EB4294E1-3FBC-495C-A041-829A654B59C5 3 0.0188 0.997612 0.000 0.000 0.996 0.004
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 1 0.3791 0.627811 0.796 0.200 0.000 0.004
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.0188 0.853230 0.000 0.996 0.000 0.004
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 1 0.0524 0.814827 0.988 0.008 0.000 0.004
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.0188 0.853230 0.000 0.996 0.000 0.004
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 1 0.0524 0.816532 0.988 0.008 0.000 0.004
#> D34036E4-1122-42AE-B20F-F4C8515872A0 2 0.0000 0.853125 0.000 1.000 0.000 0.000
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 2 0.0336 0.852633 0.000 0.992 0.000 0.008
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 4 0.0592 0.774968 0.016 0.000 0.000 0.984
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 3 0.0000 0.998693 0.000 0.000 1.000 0.000
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.0336 0.852633 0.000 0.992 0.000 0.008
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.0188 0.853230 0.000 0.996 0.000 0.004
#> F3C13430-405E-432E-8F3E-0DD18E86087E 2 0.5823 0.401705 0.044 0.608 0.000 0.348
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.0000 0.853125 0.000 1.000 0.000 0.000
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 1 0.7546 -0.003018 0.412 0.188 0.000 0.400
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.0336 0.851654 0.008 0.992 0.000 0.000
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.1302 0.826673 0.000 0.956 0.000 0.044
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 4 0.7446 0.100362 0.172 0.396 0.000 0.432
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.0469 0.850640 0.012 0.988 0.000 0.000
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.0188 0.819489 0.996 0.000 0.000 0.004
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 4 0.0707 0.773249 0.020 0.000 0.000 0.980
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 4 0.7605 0.011082 0.384 0.200 0.000 0.416
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.0000 0.853125 0.000 1.000 0.000 0.000
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.0000 0.998693 0.000 0.000 1.000 0.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.0188 0.997612 0.000 0.000 0.996 0.004
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 2 0.0000 0.853125 0.000 1.000 0.000 0.000
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 4 0.5775 0.234540 0.032 0.408 0.000 0.560
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.1489 0.836998 0.044 0.952 0.000 0.004
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 4 0.0336 0.778250 0.008 0.000 0.000 0.992
#> 343F031B-0095-429D-8212-AD0581DBB05B 4 0.0376 0.780601 0.004 0.004 0.000 0.992
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 2 0.1489 0.832897 0.004 0.952 0.000 0.044
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.1302 0.828408 0.956 0.000 0.000 0.044
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 4 0.4996 0.172592 0.000 0.484 0.000 0.516
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 2 0.5897 0.358479 0.044 0.588 0.000 0.368
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 2 0.5279 0.571217 0.044 0.704 0.000 0.252
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.1489 0.836998 0.044 0.952 0.000 0.004
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.1004 0.845183 0.024 0.972 0.000 0.004
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.3688 0.619322 0.000 0.792 0.000 0.208
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.0000 0.998693 0.000 0.000 1.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.1302 0.828408 0.956 0.000 0.000 0.044
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.0000 0.998693 0.000 0.000 1.000 0.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 4 0.1474 0.787818 0.000 0.052 0.000 0.948
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.0188 0.997612 0.000 0.000 0.996 0.004
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.0336 0.852633 0.000 0.992 0.000 0.008
#> FC7821F4-6495-4545-A22A-764BB99B3F79 2 0.3306 0.754706 0.156 0.840 0.000 0.004
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.0336 0.852633 0.000 0.992 0.000 0.008
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.5231 0.334566 0.012 0.604 0.000 0.384
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.2760 0.758719 0.000 0.872 0.000 0.128
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.0336 0.852633 0.000 0.992 0.000 0.008
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 2 0.7782 -0.000612 0.244 0.396 0.000 0.360
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 4 0.1474 0.787818 0.000 0.052 0.000 0.948
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.1489 0.836998 0.044 0.952 0.000 0.004
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0000 0.998693 0.000 0.000 1.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 4 0.5254 0.494230 0.028 0.300 0.000 0.672
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.3942 0.572016 0.000 0.764 0.000 0.236
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 4 0.0592 0.774968 0.016 0.000 0.000 0.984
#> BEE081CA-8420-4314-88A0-286BB30FFD65 4 0.0592 0.783980 0.000 0.016 0.000 0.984
#> C464CD1D-4519-48E8-A18A-403F691E5702 4 0.7745 0.110244 0.232 0.372 0.000 0.396
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.1584 0.822799 0.952 0.000 0.012 0.036
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.5764 0.131540 0.028 0.520 0.000 0.452
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0188 0.853230 0.000 0.996 0.000 0.004
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.7170 0.339260 0.540 0.288 0.000 0.172
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.0188 0.819489 0.996 0.000 0.000 0.004
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 5 0.4060 0.7510 0.000 0.360 0.000 0.000 0.640
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 4 0.2732 0.8358 0.000 0.000 0.000 0.840 0.160
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 5 0.4264 0.7425 0.000 0.376 0.000 0.004 0.620
#> 91202998-760F-4421-B1C4-18639962EDDA 4 0.0703 0.8781 0.000 0.000 0.000 0.976 0.024
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.0162 0.7941 0.000 0.996 0.000 0.000 0.004
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 2 0.5218 0.6365 0.000 0.632 0.000 0.072 0.296
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 4 0.3561 0.7475 0.000 0.000 0.000 0.740 0.260
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.4441 0.6957 0.000 0.720 0.000 0.044 0.236
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.3246 0.7388 0.000 0.808 0.000 0.008 0.184
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.2605 0.7586 0.000 0.852 0.000 0.000 0.148
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 4 0.0703 0.8781 0.000 0.000 0.000 0.976 0.024
#> 784B2359-6064-4FAA-9311-7A852F061FBB 4 0.4844 0.7021 0.000 0.108 0.000 0.720 0.172
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 2 0.0566 0.7939 0.000 0.984 0.000 0.004 0.012
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 5 0.5083 0.7034 0.184 0.120 0.000 0.000 0.696
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0000 0.9935 0.000 0.000 1.000 0.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.0290 0.7923 0.000 0.992 0.000 0.000 0.008
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.0162 0.9449 0.996 0.000 0.000 0.000 0.004
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 4 0.3615 0.7895 0.000 0.036 0.000 0.808 0.156
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#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.0794 0.9866 0.000 0.000 0.972 0.000 0.028
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.0000 0.7956 0.000 1.000 0.000 0.000 0.000
#> FC7821F4-6495-4545-A22A-764BB99B3F79 5 0.4508 0.7585 0.020 0.332 0.000 0.000 0.648
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.1364 0.7945 0.000 0.952 0.000 0.012 0.036
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 5 0.3835 0.7205 0.000 0.260 0.000 0.008 0.732
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.4547 0.5628 0.000 0.588 0.000 0.012 0.400
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.0290 0.7954 0.000 0.992 0.000 0.000 0.008
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 5 0.5322 0.7609 0.112 0.228 0.000 0.000 0.660
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 4 0.1197 0.8732 0.000 0.000 0.000 0.952 0.048
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.4375 -0.2864 0.004 0.576 0.000 0.000 0.420
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0000 0.9935 0.000 0.000 1.000 0.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 5 0.5748 0.5111 0.000 0.116 0.000 0.300 0.584
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.5290 0.6279 0.000 0.676 0.000 0.184 0.140
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 4 0.0703 0.8781 0.000 0.000 0.000 0.976 0.024
#> BEE081CA-8420-4314-88A0-286BB30FFD65 4 0.3305 0.7614 0.000 0.000 0.000 0.776 0.224
#> C464CD1D-4519-48E8-A18A-403F691E5702 5 0.4577 0.7821 0.028 0.244 0.000 0.012 0.716
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.0510 0.9372 0.984 0.000 0.000 0.000 0.016
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 5 0.3630 0.7576 0.000 0.204 0.000 0.016 0.780
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0162 0.7941 0.000 0.996 0.000 0.000 0.004
#> A563359B-0D55-4826-9229-62A89143C1C6 5 0.4126 0.7701 0.056 0.156 0.000 0.004 0.784
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 5 0.5245 0.5947 0.280 0.080 0.000 0.000 0.640
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 5 0.3081 0.70038 0.000 0.220 0.000 0.000 0.776 0.004
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 4 0.4338 0.12000 0.000 0.000 0.000 0.492 0.020 0.488
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 5 0.5649 0.62485 0.000 0.228 0.000 0.008 0.572 0.192
#> 91202998-760F-4421-B1C4-18639962EDDA 4 0.0291 0.79969 0.000 0.000 0.000 0.992 0.004 0.004
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.0458 0.83538 0.000 0.984 0.000 0.000 0.016 0.000
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 6 0.2876 0.62379 0.000 0.132 0.000 0.008 0.016 0.844
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 6 0.3641 0.41991 0.000 0.000 0.000 0.248 0.020 0.732
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.4047 0.17758 0.000 0.604 0.000 0.000 0.012 0.384
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.5454 0.37154 0.000 0.552 0.000 0.000 0.156 0.292
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.5067 0.55461 0.000 0.636 0.000 0.000 0.184 0.180
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 4 0.0291 0.80026 0.000 0.000 0.000 0.992 0.004 0.004
#> 784B2359-6064-4FAA-9311-7A852F061FBB 6 0.4751 0.41428 0.000 0.072 0.000 0.280 0.004 0.644
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 2 0.3627 0.71791 0.000 0.792 0.000 0.000 0.080 0.128
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 5 0.2781 0.70955 0.036 0.040 0.000 0.000 0.880 0.044
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0260 0.98662 0.000 0.000 0.992 0.000 0.000 0.008
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.1075 0.82344 0.000 0.952 0.000 0.000 0.048 0.000
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.0000 0.90747 1.000 0.000 0.000 0.000 0.000 0.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 6 0.4546 0.18084 0.000 0.020 0.000 0.388 0.012 0.580
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 6 0.3799 0.63247 0.000 0.276 0.000 0.020 0.000 0.704
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.2823 0.74915 0.796 0.000 0.000 0.000 0.204 0.000
#> D7A50E95-777C-47A6-8F93-031CB4770633 5 0.3868 0.02136 0.000 0.492 0.000 0.000 0.508 0.000
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.2006 0.81522 0.000 0.904 0.000 0.000 0.080 0.016
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 5 0.3738 0.71991 0.000 0.208 0.000 0.000 0.752 0.040
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 4 0.2126 0.75318 0.004 0.000 0.000 0.904 0.020 0.072
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.5877 -0.22231 0.000 0.428 0.000 0.000 0.372 0.200
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 6 0.5790 0.20964 0.000 0.140 0.000 0.020 0.284 0.556
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.0806 0.83700 0.000 0.972 0.000 0.000 0.020 0.008
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.0858 0.83134 0.000 0.968 0.000 0.000 0.004 0.028
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.1225 0.97589 0.000 0.000 0.952 0.000 0.012 0.036
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 5 0.2679 0.72153 0.000 0.096 0.000 0.000 0.864 0.040
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 6 0.3799 0.63247 0.000 0.276 0.000 0.020 0.000 0.704
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 5 0.2658 0.70322 0.000 0.036 0.000 0.000 0.864 0.100
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.3371 0.51422 0.000 0.708 0.000 0.000 0.000 0.292
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.1444 0.82541 0.000 0.928 0.000 0.000 0.072 0.000
#> 2846A3AC-D102-4E37-9B72-139ED727157A 2 0.5515 0.19009 0.000 0.492 0.000 0.000 0.372 0.136
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 5 0.3081 0.69302 0.000 0.220 0.000 0.000 0.776 0.004
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 4 0.0291 0.80026 0.000 0.000 0.000 0.992 0.004 0.004
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.0146 0.90657 0.996 0.000 0.000 0.000 0.004 0.000
#> 150F5B77-4848-4D68-800A-0A0236C3661F 2 0.1411 0.81806 0.000 0.936 0.000 0.000 0.004 0.060
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 5 0.4204 0.67616 0.132 0.128 0.000 0.000 0.740 0.000
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.0865 0.83532 0.000 0.964 0.000 0.000 0.036 0.000
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.0363 0.83467 0.000 0.988 0.000 0.000 0.012 0.000
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 4 0.3648 0.54446 0.240 0.000 0.000 0.740 0.016 0.004
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 5 0.5406 0.62320 0.000 0.132 0.000 0.012 0.608 0.248
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 5 0.3360 0.65323 0.000 0.264 0.000 0.000 0.732 0.004
#> 1447B543-D3AC-41B5-878F-B382FE49421B 5 0.3876 0.65718 0.120 0.020 0.000 0.028 0.808 0.024
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 5 0.2491 0.71080 0.000 0.164 0.000 0.000 0.836 0.000
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 4 0.4300 0.30833 0.000 0.000 0.000 0.548 0.020 0.432
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.0000 0.98818 0.000 0.000 1.000 0.000 0.000 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 4 0.4226 0.36888 0.000 0.004 0.000 0.580 0.012 0.404
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 6 0.4134 0.59037 0.000 0.316 0.000 0.028 0.000 0.656
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.0000 0.90747 1.000 0.000 0.000 0.000 0.000 0.000
#> D9225689-21E0-478A-8F79-C26542938B8D 5 0.5421 0.57479 0.000 0.104 0.000 0.012 0.572 0.312
#> FC3BA46D-57F6-424C-8D62-16C441035969 5 0.5070 0.56323 0.000 0.100 0.000 0.000 0.584 0.316
#> 045CFFE6-4736-42F2-9340-C37690E47882 3 0.0000 0.98818 0.000 0.000 1.000 0.000 0.000 0.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 5 0.5429 0.50828 0.004 0.000 0.000 0.152 0.584 0.260
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 5 0.3134 0.71807 0.000 0.168 0.000 0.000 0.808 0.024
#> E94B217F-C5DC-4F42-8135-E81F338914B5 6 0.3601 0.59568 0.000 0.312 0.000 0.004 0.000 0.684
#> AE4C3956-76DF-4059-8D69-3D764F31817F 2 0.4552 0.66107 0.000 0.700 0.000 0.000 0.172 0.128
#> 33D6A38E-CD99-437B-99E0-04E72582F777 6 0.3997 0.62404 0.000 0.288 0.000 0.020 0.004 0.688
#> 8379051C-5847-42B5-AC5C-A128C166AB97 4 0.3954 0.44218 0.000 0.004 0.000 0.620 0.004 0.372
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 4 0.4191 0.40340 0.000 0.004 0.000 0.596 0.012 0.388
#> 40A16429-229E-4F40-BFC7-263554438F99 6 0.4745 0.55291 0.000 0.204 0.000 0.000 0.124 0.672
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 5 0.4926 0.52101 0.000 0.048 0.000 0.012 0.580 0.360
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 6 0.4973 0.53932 0.000 0.108 0.000 0.044 0.136 0.712
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 5 0.4947 0.18116 0.000 0.000 0.000 0.064 0.480 0.456
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 4 0.3819 0.44764 0.000 0.004 0.000 0.624 0.000 0.372
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 5 0.3975 0.16983 0.000 0.452 0.000 0.000 0.544 0.004
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 6 0.3769 0.25069 0.000 0.004 0.000 0.356 0.000 0.640
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 6 0.4326 0.60626 0.000 0.300 0.000 0.044 0.000 0.656
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 2 0.2728 0.77254 0.000 0.860 0.000 0.000 0.100 0.040
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.0260 0.83537 0.000 0.992 0.000 0.000 0.000 0.008
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 2 0.4267 0.64126 0.000 0.732 0.000 0.000 0.116 0.152
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 4 0.3782 0.46632 0.000 0.000 0.000 0.636 0.004 0.360
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 5 0.2697 0.70026 0.000 0.188 0.000 0.000 0.812 0.000
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 6 0.4618 0.12841 0.000 0.028 0.000 0.012 0.360 0.600
#> FDB47AC4-CE6A-428B-9B55-EBCEF1970ACB 6 0.4295 0.56860 0.000 0.080 0.000 0.048 0.096 0.776
#> 133B7E7B-FD50-48A2-9A35-E6D44FAB976B 5 0.5459 0.69048 0.000 0.212 0.000 0.004 0.592 0.192
#> E69E45DA-66A6-438A-9BFC-5F1F7F5C5A87 4 0.0291 0.80026 0.000 0.000 0.000 0.992 0.004 0.004
#> 6E242DF5-8B8B-4C6F-870E-C7ADFFAFDF3E 2 0.1391 0.82452 0.000 0.944 0.000 0.000 0.016 0.040
#> CB7BBFF1-4BF3-42A9-85C6-680D91503799 4 0.0458 0.79567 0.000 0.000 0.000 0.984 0.000 0.016
#> 70AA4670-C75B-4E39-8958-3F9C29811871 2 0.4800 0.54122 0.000 0.672 0.000 0.000 0.164 0.164
#> D63C5178-4FF7-4FD0-B87E-6CBF6E7BEF5B 2 0.0806 0.83396 0.000 0.972 0.000 0.000 0.008 0.020
#> 814391F8-C5B9-43F6-A330-A6749BB8F16E 6 0.7098 0.18536 0.000 0.080 0.000 0.252 0.276 0.392
#> 146ED7EA-BF3C-4BAB-B33C-0A668AB13C80 4 0.0146 0.80049 0.000 0.000 0.000 0.996 0.004 0.000
#> FD5CAFE8-E669-406A-A505-A47DCDC32E93 4 0.4183 0.18286 0.000 0.000 0.000 0.508 0.012 0.480
#> 4B3C7910-A652-45B5-8218-9002EB0FD9EB 2 0.4843 0.53398 0.000 0.652 0.000 0.000 0.116 0.232
#> E410F77D-E31F-4D73-ACAC-9245935A92F5 5 0.5084 0.64106 0.000 0.100 0.000 0.012 0.644 0.244
#> 64336403-9037-480C-873A-67BC77119FA5 2 0.1556 0.80763 0.000 0.920 0.000 0.000 0.080 0.000
#> 6F9D5013-3B1B-41EE-85DB-E51F5D828DEF 4 0.0935 0.79126 0.000 0.000 0.000 0.964 0.004 0.032
#> 155AEBBD-1C12-4F88-90C7-1C7FF7E3FB2C 6 0.4680 0.53796 0.000 0.132 0.000 0.184 0.000 0.684
#> D28DDCAA-682C-451F-8327-D2C2AFB044E2 2 0.4425 0.62475 0.000 0.716 0.000 0.000 0.132 0.152
#> 171523DC-2713-4EBF-A115-53A0BA174545 3 0.0000 0.98818 0.000 0.000 1.000 0.000 0.000 0.000
#> FD223304-87BA-4462-A5E5-01AB8C018C35 5 0.4886 0.44455 0.000 0.024 0.000 0.032 0.596 0.348
#> D8E06D8A-9063-4466-A3B0-7724F4737C7A 6 0.3976 0.51859 0.000 0.008 0.000 0.128 0.088 0.776
#> FFA5FFF7-6301-4CD8-8E63-A4D8294D1B0E 5 0.4652 0.44747 0.000 0.024 0.000 0.012 0.560 0.404
#> AF3648D6-C774-48CC-9428-ADC00402A562 3 0.0000 0.98818 0.000 0.000 1.000 0.000 0.000 0.000
#> BD406B65-B715-444E-95B4-F38D05BAC863 6 0.3684 0.22248 0.000 0.000 0.000 0.372 0.000 0.628
#> 6DB67CA1-0BEB-4585-9867-40E7C8A96D55 2 0.1556 0.81255 0.000 0.920 0.000 0.000 0.080 0.000
#> 49C9DE1D-784D-405A-9DD3-C4D2890D0309 5 0.3695 0.55843 0.244 0.024 0.000 0.000 0.732 0.000
#> 05EC4D30-D34E-4497-B4F4-80AEDC2E70DF 1 0.0000 0.90747 1.000 0.000 0.000 0.000 0.000 0.000
#> CB69E76B-7CD3-49EF-9ADF-75701FE1D0A8 4 0.0146 0.80049 0.000 0.000 0.000 0.996 0.004 0.000
#> 103C6E25-A69A-460E-81C0-7437547E1334 5 0.2134 0.71592 0.000 0.052 0.000 0.000 0.904 0.044
#> 2D986DB0-B5A8-42E8-ACB8-926A16FAABD6 2 0.1049 0.83030 0.000 0.960 0.000 0.000 0.008 0.032
#> 1B9A0F24-8A3F-4693-B09C-5F0EFE5A32A5 5 0.2755 0.70834 0.012 0.140 0.000 0.000 0.844 0.004
#> C064D1FE-753E-4493-907C-C5FFE19F9875 2 0.2092 0.80288 0.000 0.876 0.000 0.000 0.124 0.000
#> 71596860-AEFA-4B94-8ADE-AC33CEA24DD4 2 0.4141 0.68050 0.000 0.740 0.000 0.000 0.168 0.092
#> E9A3A454-AB4D-4683-B276-84DA43792DBB 4 0.0291 0.80026 0.000 0.000 0.000 0.992 0.004 0.004
#> C5717869-8413-4810-A042-32E949AD3B0A 4 0.1010 0.78814 0.000 0.000 0.000 0.960 0.004 0.036
#> F36B393E-859C-49F8-BDF4-ED2CEF4C6307 4 0.4945 0.31665 0.000 0.000 0.000 0.588 0.328 0.084
#> 4CC9D3F9-983F-4CB2-91F1-0FBB86D53DC3 2 0.3862 0.02101 0.000 0.524 0.000 0.000 0.476 0.000
#> D450F074-CA68-49CE-B0B3-F81A91D54867 5 0.5539 0.56130 0.000 0.120 0.000 0.012 0.564 0.304
#> 2BBD504E-FE90-4142-9204-0E33B6B56C7E 6 0.5569 0.30757 0.000 0.320 0.000 0.000 0.160 0.520
#> 1A457CBF-24DA-44F1-B9ED-F26B8D1245D4 6 0.4004 0.57671 0.000 0.328 0.000 0.004 0.012 0.656
#> F29B5A39-866E-4C9D-BC26-B726FEA5F576 5 0.4443 0.72559 0.000 0.172 0.000 0.020 0.736 0.072
#> 89A4972A-8C91-4272-96BE-BCA9BC447780 5 0.5255 0.49371 0.000 0.112 0.000 0.000 0.548 0.340
#> 70B014FD-A0D0-418C-B55F-D09BAE213D52 2 0.1649 0.82083 0.000 0.932 0.000 0.000 0.032 0.036
#> 8139F417-0548-40B4-851F-A4E149A2E06A 5 0.2632 0.70187 0.004 0.164 0.000 0.000 0.832 0.000
#> 6E9F0021-FA91-4516-9B04-6A978034CECF 4 0.4559 0.48179 0.000 0.068 0.000 0.676 0.252 0.004
#> 49DAF1CD-8E20-433B-91A7-8C885ACB21A5 5 0.5271 0.67997 0.000 0.152 0.000 0.012 0.640 0.196
#> 093765A6-145C-47C3-B87B-4560CD632B4C 5 0.4268 0.19761 0.012 0.428 0.000 0.000 0.556 0.004
#> 90731001-45B2-4601-93F5-064BDD519A30 3 0.1225 0.97589 0.000 0.000 0.952 0.000 0.012 0.036
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#> 1B1C9301-D6D6-4F6B-80A3-3603013AA951 6 0.3531 0.57556 0.000 0.328 0.000 0.000 0.000 0.672
#> DDDCDF00-FB0A-477B-891B-2EE5E0C8F61E 3 0.0000 0.98818 0.000 0.000 1.000 0.000 0.000 0.000
#> 34A3260D-AC4D-416F-ADF0-24013048BC46 5 0.3183 0.69238 0.008 0.200 0.000 0.000 0.788 0.004
#> 671C1840-9C1B-4AC1-9564-78802489F763 1 0.0000 0.90747 1.000 0.000 0.000 0.000 0.000 0.000
#> BA4F7841-9FC3-4CE6-ACA5-43FC36641640 2 0.4931 0.30004 0.000 0.576 0.000 0.004 0.356 0.064
#> 24A02CE5-28E7-457E-8B90-4EACA528B072 1 0.0000 0.90747 1.000 0.000 0.000 0.000 0.000 0.000
#> C7008665-F6DE-48B4-A0E7-6C388B72C609 2 0.0363 0.83467 0.000 0.988 0.000 0.000 0.012 0.000
#> 50F984AB-95C1-4D7B-A787-418CBB59D165 4 0.0146 0.80049 0.000 0.000 0.000 0.996 0.004 0.000
#> 5FFD2A6A-ED8A-44A9-9FC1-3106341C284A 2 0.1367 0.82299 0.000 0.944 0.000 0.000 0.012 0.044
#> 7481630E-5CBA-4A4A-A16F-E327BCEE11D3 5 0.3106 0.72315 0.004 0.108 0.000 0.004 0.844 0.040
#> 7B3E6643-C148-4266-A3A3-80BAB713DD3E 2 0.0458 0.83454 0.000 0.984 0.000 0.000 0.000 0.016
#> BA8564FA-8D4D-4B2F-A178-63209F887A05 5 0.2547 0.69748 0.080 0.036 0.000 0.000 0.880 0.004
#> 2FB578F6-E8B7-434D-9720-D448A26C1EFD 1 0.0363 0.90299 0.988 0.000 0.000 0.000 0.012 0.000
#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 5 0.2994 0.69846 0.000 0.208 0.000 0.000 0.788 0.004
#> 740FCE46-8A4A-4A6A-B79F-78A63D28E313 2 0.1858 0.81837 0.000 0.904 0.000 0.000 0.092 0.004
#> 523A5832-0C42-44A4-A58F-7011C3A567DC 3 0.0260 0.98661 0.000 0.000 0.992 0.000 0.008 0.000
#> A2C68C81-7371-4E0C-BFD1-EA868A7C9499 2 0.1075 0.82399 0.000 0.952 0.000 0.000 0.048 0.000
#> 2EB7025A-D932-4238-BD60-609B25150029 5 0.4862 0.63711 0.000 0.080 0.000 0.012 0.664 0.244
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 2 0.3464 0.73496 0.000 0.808 0.000 0.000 0.108 0.084
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 2 0.2491 0.73595 0.000 0.836 0.000 0.000 0.164 0.000
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 2 0.1320 0.82630 0.000 0.948 0.000 0.000 0.016 0.036
#> F081EA01-ED14-491B-9620-BF8F10A7431D 5 0.4644 0.44756 0.000 0.024 0.000 0.012 0.564 0.400
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 2 0.1610 0.80813 0.000 0.916 0.000 0.000 0.084 0.000
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 6 0.3659 0.23905 0.000 0.000 0.000 0.364 0.000 0.636
#> B54639CE-F721-4908-B758-309F148AD3C2 5 0.5952 0.48014 0.000 0.200 0.000 0.008 0.500 0.292
#> EB4294E1-3FBC-495C-A041-829A654B59C5 3 0.1225 0.97589 0.000 0.000 0.952 0.000 0.012 0.036
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 5 0.3894 0.70460 0.072 0.152 0.000 0.000 0.772 0.004
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.1682 0.83133 0.000 0.928 0.000 0.000 0.052 0.020
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 1 0.2941 0.73723 0.780 0.000 0.000 0.000 0.220 0.000
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.0363 0.83467 0.000 0.988 0.000 0.000 0.012 0.000
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 5 0.4120 0.61532 0.204 0.068 0.000 0.000 0.728 0.000
#> D34036E4-1122-42AE-B20F-F4C8515872A0 2 0.1700 0.81944 0.000 0.916 0.000 0.000 0.080 0.004
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 2 0.3383 0.55387 0.000 0.728 0.000 0.000 0.004 0.268
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 4 0.0291 0.80026 0.000 0.000 0.000 0.992 0.004 0.004
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 3 0.0000 0.98818 0.000 0.000 1.000 0.000 0.000 0.000
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.0909 0.83382 0.000 0.968 0.000 0.000 0.012 0.020
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.1141 0.82976 0.000 0.948 0.000 0.000 0.052 0.000
#> F3C13430-405E-432E-8F3E-0DD18E86087E 5 0.4721 0.71667 0.000 0.212 0.000 0.000 0.672 0.116
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.1007 0.82440 0.000 0.956 0.000 0.000 0.044 0.000
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 5 0.4605 0.67067 0.012 0.084 0.000 0.112 0.760 0.032
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.1814 0.80824 0.000 0.900 0.000 0.000 0.100 0.000
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.3161 0.62723 0.000 0.776 0.000 0.000 0.008 0.216
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 5 0.3672 0.71620 0.000 0.176 0.000 0.008 0.780 0.036
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.2260 0.76361 0.000 0.860 0.000 0.000 0.140 0.000
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.2697 0.76355 0.812 0.000 0.000 0.000 0.188 0.000
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 4 0.3505 0.63836 0.016 0.000 0.000 0.804 0.028 0.152
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 5 0.4344 0.70187 0.004 0.144 0.000 0.056 0.764 0.032
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.5411 0.34956 0.000 0.560 0.000 0.000 0.152 0.288
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.0000 0.98818 0.000 0.000 1.000 0.000 0.000 0.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.1225 0.97589 0.000 0.000 0.952 0.000 0.012 0.036
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 2 0.3602 0.71333 0.000 0.792 0.000 0.000 0.072 0.136
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 5 0.4961 0.50334 0.000 0.036 0.000 0.044 0.652 0.268
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 5 0.3989 0.15572 0.000 0.468 0.000 0.000 0.528 0.004
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 4 0.0603 0.79572 0.000 0.000 0.000 0.980 0.004 0.016
#> 343F031B-0095-429D-8212-AD0581DBB05B 4 0.0146 0.80049 0.000 0.000 0.000 0.996 0.004 0.000
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 5 0.5919 0.56849 0.000 0.264 0.000 0.008 0.516 0.212
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.2365 0.86656 0.896 0.000 0.000 0.012 0.024 0.068
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 6 0.4201 0.60912 0.000 0.300 0.000 0.036 0.000 0.664
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 5 0.5336 0.68405 0.000 0.180 0.000 0.000 0.592 0.228
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 5 0.2793 0.69962 0.000 0.200 0.000 0.000 0.800 0.000
#> F9F33C38-A087-49FF-B994-3C9EE264F448 5 0.3189 0.68652 0.000 0.236 0.000 0.000 0.760 0.004
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 5 0.4750 0.60726 0.000 0.252 0.000 0.000 0.652 0.096
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.3677 0.66915 0.000 0.800 0.000 0.124 0.008 0.068
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.0000 0.98818 0.000 0.000 1.000 0.000 0.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.0000 0.90747 1.000 0.000 0.000 0.000 0.000 0.000
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.0405 0.98569 0.000 0.000 0.988 0.000 0.008 0.004
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 4 0.3992 0.45245 0.000 0.000 0.000 0.624 0.012 0.364
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.1225 0.97589 0.000 0.000 0.952 0.000 0.012 0.036
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.0547 0.83372 0.000 0.980 0.000 0.000 0.000 0.020
#> FC7821F4-6495-4545-A22A-764BB99B3F79 5 0.3014 0.69701 0.012 0.184 0.000 0.000 0.804 0.000
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.1082 0.82600 0.000 0.956 0.000 0.000 0.004 0.040
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 5 0.5782 0.64356 0.000 0.232 0.000 0.008 0.548 0.212
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 6 0.4474 0.51912 0.000 0.120 0.000 0.000 0.172 0.708
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.1643 0.81580 0.000 0.924 0.000 0.000 0.068 0.008
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 5 0.5236 0.71549 0.056 0.128 0.000 0.000 0.692 0.124
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 4 0.3547 0.54088 0.000 0.000 0.000 0.696 0.004 0.300
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 5 0.3993 0.02586 0.000 0.476 0.000 0.000 0.520 0.004
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0000 0.98818 0.000 0.000 1.000 0.000 0.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 5 0.6348 0.53181 0.000 0.084 0.000 0.124 0.552 0.240
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.5785 -0.29010 0.000 0.448 0.000 0.124 0.012 0.416
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 4 0.0291 0.80026 0.000 0.000 0.000 0.992 0.004 0.004
#> BEE081CA-8420-4314-88A0-286BB30FFD65 4 0.4972 0.39627 0.000 0.000 0.000 0.628 0.116 0.256
#> C464CD1D-4519-48E8-A18A-403F691E5702 5 0.3014 0.71764 0.004 0.076 0.000 0.008 0.860 0.052
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.0000 0.90747 1.000 0.000 0.000 0.000 0.000 0.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 5 0.5414 0.61273 0.000 0.124 0.000 0.012 0.600 0.264
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0458 0.83472 0.000 0.984 0.000 0.000 0.016 0.000
#> A563359B-0D55-4826-9229-62A89143C1C6 5 0.3523 0.71267 0.012 0.092 0.000 0.000 0.820 0.076
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 5 0.3907 0.64463 0.152 0.084 0.000 0.000 0.764 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 17109 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 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 0.826 0.900 0.958 0.4779 0.517 0.517
#> 3 3 0.786 0.843 0.935 0.3516 0.754 0.559
#> 4 4 0.799 0.811 0.922 0.0956 0.883 0.691
#> 5 5 0.731 0.654 0.838 0.0920 0.877 0.619
#> 6 6 0.752 0.727 0.868 0.0599 0.894 0.594
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
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.0000 0.9694 0.000 1.000
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 2 0.0938 0.9607 0.012 0.988
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 2 0.0000 0.9694 0.000 1.000
#> 91202998-760F-4421-B1C4-18639962EDDA 1 0.8955 0.5933 0.688 0.312
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.0000 0.9694 0.000 1.000
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 2 0.0000 0.9694 0.000 1.000
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 2 0.1633 0.9511 0.024 0.976
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.0000 0.9694 0.000 1.000
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.0000 0.9694 0.000 1.000
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.0000 0.9694 0.000 1.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 2 0.9993 -0.0466 0.484 0.516
#> 784B2359-6064-4FAA-9311-7A852F061FBB 2 0.7219 0.7324 0.200 0.800
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 2 0.0000 0.9694 0.000 1.000
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 1 0.0376 0.9315 0.996 0.004
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 1 0.0000 0.9333 1.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.0000 0.9694 0.000 1.000
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.0000 0.9333 1.000 0.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 2 0.0000 0.9694 0.000 1.000
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 2 0.0376 0.9668 0.004 0.996
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.0000 0.9333 1.000 0.000
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.0000 0.9694 0.000 1.000
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.0000 0.9694 0.000 1.000
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 1 0.9710 0.4105 0.600 0.400
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#> F56C26ED-9358-485B-8867-EBA1CAA4E2A7 2 0.0000 0.9694 0.000 1.000
#> 45CA3F9E-40EE-43A4-AE57-FE51D4003844 2 0.0000 0.9694 0.000 1.000
#> 47EFA063-19C1-4E1F-ACE8-68D9BAD0B995 1 0.0000 0.9333 1.000 0.000
#> 8C30EA0F-0DA1-43C7-81AE-DE825A53F114 1 0.0000 0.9333 1.000 0.000
#> 2CE7477C-DD09-4B3A-AD65-C696BE8C9B11 1 0.0000 0.9333 1.000 0.000
#> 4DECB19A-290F-4CEB-BE25-AAF9B9E2B58F 1 0.0000 0.9333 1.000 0.000
#> 3DEA9B14-DF42-43A0-AC4A-32AE7A16218D 2 0.0000 0.9694 0.000 1.000
#> 9F57D45B-C62F-44C5-AB9D-0CB54BBA16F5 2 0.0376 0.9668 0.004 0.996
#> 54ACCFD9-A8D6-4E4C-9097-1A0BE258AA1B 1 0.4690 0.8650 0.900 0.100
#> 9EE67DE9-9B56-4773-8F6A-1036D31F568E 2 0.0938 0.9607 0.012 0.988
#> 1B1C9301-D6D6-4F6B-80A3-3603013AA951 2 0.0000 0.9694 0.000 1.000
#> DDDCDF00-FB0A-477B-891B-2EE5E0C8F61E 1 0.0000 0.9333 1.000 0.000
#> 34A3260D-AC4D-416F-ADF0-24013048BC46 2 0.6531 0.7794 0.168 0.832
#> 671C1840-9C1B-4AC1-9564-78802489F763 1 0.0000 0.9333 1.000 0.000
#> BA4F7841-9FC3-4CE6-ACA5-43FC36641640 2 0.0000 0.9694 0.000 1.000
#> 24A02CE5-28E7-457E-8B90-4EACA528B072 1 0.0000 0.9333 1.000 0.000
#> C7008665-F6DE-48B4-A0E7-6C388B72C609 2 0.0000 0.9694 0.000 1.000
#> 50F984AB-95C1-4D7B-A787-418CBB59D165 1 0.6973 0.7787 0.812 0.188
#> 5FFD2A6A-ED8A-44A9-9FC1-3106341C284A 2 0.0000 0.9694 0.000 1.000
#> 7481630E-5CBA-4A4A-A16F-E327BCEE11D3 1 0.0000 0.9333 1.000 0.000
#> 7B3E6643-C148-4266-A3A3-80BAB713DD3E 2 0.0000 0.9694 0.000 1.000
#> BA8564FA-8D4D-4B2F-A178-63209F887A05 1 0.0376 0.9315 0.996 0.004
#> 2FB578F6-E8B7-434D-9720-D448A26C1EFD 1 0.0000 0.9333 1.000 0.000
#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 2 0.0000 0.9694 0.000 1.000
#> 740FCE46-8A4A-4A6A-B79F-78A63D28E313 2 0.0000 0.9694 0.000 1.000
#> 523A5832-0C42-44A4-A58F-7011C3A567DC 1 0.0000 0.9333 1.000 0.000
#> A2C68C81-7371-4E0C-BFD1-EA868A7C9499 2 0.0000 0.9694 0.000 1.000
#> 2EB7025A-D932-4238-BD60-609B25150029 1 0.0000 0.9333 1.000 0.000
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 2 0.0000 0.9694 0.000 1.000
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 2 0.0000 0.9694 0.000 1.000
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 2 0.0000 0.9694 0.000 1.000
#> F081EA01-ED14-491B-9620-BF8F10A7431D 2 0.8327 0.6123 0.264 0.736
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 2 0.0000 0.9694 0.000 1.000
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 2 0.0938 0.9607 0.012 0.988
#> B54639CE-F721-4908-B758-309F148AD3C2 2 0.0000 0.9694 0.000 1.000
#> EB4294E1-3FBC-495C-A041-829A654B59C5 1 0.0000 0.9333 1.000 0.000
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 1 0.7219 0.7683 0.800 0.200
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.0000 0.9694 0.000 1.000
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 1 0.0000 0.9333 1.000 0.000
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.0000 0.9694 0.000 1.000
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 1 0.0000 0.9333 1.000 0.000
#> D34036E4-1122-42AE-B20F-F4C8515872A0 2 0.0000 0.9694 0.000 1.000
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 2 0.0000 0.9694 0.000 1.000
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 1 0.6973 0.7787 0.812 0.188
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 1 0.0000 0.9333 1.000 0.000
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.0000 0.9694 0.000 1.000
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.0000 0.9694 0.000 1.000
#> F3C13430-405E-432E-8F3E-0DD18E86087E 2 0.0000 0.9694 0.000 1.000
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.0000 0.9694 0.000 1.000
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 1 0.7219 0.7683 0.800 0.200
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.0000 0.9694 0.000 1.000
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.0000 0.9694 0.000 1.000
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 1 0.7056 0.7776 0.808 0.192
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.0000 0.9694 0.000 1.000
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.0000 0.9333 1.000 0.000
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 1 0.0000 0.9333 1.000 0.000
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 1 0.7219 0.7683 0.800 0.200
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.0000 0.9694 0.000 1.000
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 1 0.0000 0.9333 1.000 0.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 1 0.0000 0.9333 1.000 0.000
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 2 0.0000 0.9694 0.000 1.000
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 2 0.0000 0.9694 0.000 1.000
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.0000 0.9694 0.000 1.000
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 1 0.9358 0.5151 0.648 0.352
#> 343F031B-0095-429D-8212-AD0581DBB05B 1 0.9954 0.2323 0.540 0.460
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 2 0.0000 0.9694 0.000 1.000
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.0000 0.9333 1.000 0.000
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 2 0.0376 0.9668 0.004 0.996
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 2 0.0000 0.9694 0.000 1.000
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 2 0.3879 0.8940 0.076 0.924
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.0000 0.9694 0.000 1.000
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.0000 0.9694 0.000 1.000
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.0000 0.9694 0.000 1.000
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 1 0.0000 0.9333 1.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.0000 0.9333 1.000 0.000
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 1 0.0000 0.9333 1.000 0.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 2 0.0000 0.9694 0.000 1.000
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 1 0.0000 0.9333 1.000 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.0000 0.9694 0.000 1.000
#> FC7821F4-6495-4545-A22A-764BB99B3F79 2 0.9732 0.2996 0.404 0.596
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.0000 0.9694 0.000 1.000
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.0000 0.9694 0.000 1.000
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.0000 0.9694 0.000 1.000
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.0000 0.9694 0.000 1.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 1 0.3879 0.8816 0.924 0.076
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 2 0.0000 0.9694 0.000 1.000
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.0376 0.9666 0.004 0.996
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 1 0.0000 0.9333 1.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 2 0.9129 0.4657 0.328 0.672
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.0000 0.9694 0.000 1.000
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 1 0.0000 0.9333 1.000 0.000
#> BEE081CA-8420-4314-88A0-286BB30FFD65 1 0.2236 0.9127 0.964 0.036
#> C464CD1D-4519-48E8-A18A-403F691E5702 1 0.0938 0.9274 0.988 0.012
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.0000 0.9333 1.000 0.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.0000 0.9694 0.000 1.000
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0000 0.9694 0.000 1.000
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.0000 0.9333 1.000 0.000
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.2423 0.9113 0.960 0.040
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.0000 0.9400 0.000 1.000 0.000
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 1 0.0000 0.9233 1.000 0.000 0.000
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 2 0.0000 0.9400 0.000 1.000 0.000
#> 91202998-760F-4421-B1C4-18639962EDDA 1 0.0000 0.9233 1.000 0.000 0.000
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.0000 0.9400 0.000 1.000 0.000
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 1 0.2448 0.8671 0.924 0.076 0.000
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 1 0.0000 0.9233 1.000 0.000 0.000
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.5098 0.6460 0.248 0.752 0.000
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.0000 0.9400 0.000 1.000 0.000
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.0000 0.9400 0.000 1.000 0.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 1 0.0000 0.9233 1.000 0.000 0.000
#> 784B2359-6064-4FAA-9311-7A852F061FBB 1 0.0000 0.9233 1.000 0.000 0.000
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 2 0.0000 0.9400 0.000 1.000 0.000
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 3 0.0000 0.9053 0.000 0.000 1.000
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0000 0.9053 0.000 0.000 1.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.0000 0.9400 0.000 1.000 0.000
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 3 0.0000 0.9053 0.000 0.000 1.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 1 0.0000 0.9233 1.000 0.000 0.000
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 1 0.2066 0.8801 0.940 0.060 0.000
#> A08E2707-DDB0-40FE-828F-14720768FB05 3 0.0000 0.9053 0.000 0.000 1.000
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.3482 0.8166 0.128 0.872 0.000
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.0000 0.9400 0.000 1.000 0.000
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 3 0.6308 0.1552 0.000 0.492 0.508
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 1 0.0000 0.9233 1.000 0.000 0.000
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.0000 0.9400 0.000 1.000 0.000
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 1 0.5706 0.5409 0.680 0.320 0.000
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.0000 0.9400 0.000 1.000 0.000
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.0000 0.9400 0.000 1.000 0.000
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.0000 0.9053 0.000 0.000 1.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.0000 0.9400 0.000 1.000 0.000
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 1 0.1643 0.8930 0.956 0.044 0.000
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 2 0.8573 0.1190 0.104 0.524 0.372
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.3412 0.8213 0.124 0.876 0.000
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.0000 0.9400 0.000 1.000 0.000
#> 2846A3AC-D102-4E37-9B72-139ED727157A 2 0.0000 0.9400 0.000 1.000 0.000
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.0000 0.9400 0.000 1.000 0.000
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 1 0.0000 0.9233 1.000 0.000 0.000
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 3 0.0000 0.9053 0.000 0.000 1.000
#> 150F5B77-4848-4D68-800A-0A0236C3661F 2 0.0747 0.9279 0.016 0.984 0.000
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 3 0.4555 0.7505 0.000 0.200 0.800
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.0000 0.9400 0.000 1.000 0.000
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.0000 0.9400 0.000 1.000 0.000
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 3 0.6168 0.3487 0.412 0.000 0.588
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 2 0.0892 0.9251 0.020 0.980 0.000
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.0000 0.9400 0.000 1.000 0.000
#> 1447B543-D3AC-41B5-878F-B382FE49421B 3 0.6062 0.4130 0.384 0.000 0.616
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 2 0.2356 0.8748 0.000 0.928 0.072
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 1 0.0000 0.9233 1.000 0.000 0.000
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.0000 0.9053 0.000 0.000 1.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 1 0.0000 0.9233 1.000 0.000 0.000
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 1 0.6225 0.2622 0.568 0.432 0.000
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 3 0.0000 0.9053 0.000 0.000 1.000
#> D9225689-21E0-478A-8F79-C26542938B8D 1 0.9125 0.2694 0.516 0.164 0.320
#> FC3BA46D-57F6-424C-8D62-16C441035969 2 0.0000 0.9400 0.000 1.000 0.000
#> 045CFFE6-4736-42F2-9340-C37690E47882 3 0.0000 0.9053 0.000 0.000 1.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 3 0.0000 0.9053 0.000 0.000 1.000
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 2 0.6264 0.2925 0.004 0.616 0.380
#> E94B217F-C5DC-4F42-8135-E81F338914B5 2 0.6192 0.2495 0.420 0.580 0.000
#> AE4C3956-76DF-4059-8D69-3D764F31817F 2 0.0000 0.9400 0.000 1.000 0.000
#> 33D6A38E-CD99-437B-99E0-04E72582F777 1 0.1753 0.8896 0.952 0.048 0.000
#> 8379051C-5847-42B5-AC5C-A128C166AB97 1 0.0000 0.9233 1.000 0.000 0.000
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 1 0.0000 0.9233 1.000 0.000 0.000
#> 40A16429-229E-4F40-BFC7-263554438F99 2 0.1031 0.9212 0.024 0.976 0.000
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 2 0.6772 0.4511 0.032 0.664 0.304
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 1 0.1643 0.8926 0.956 0.044 0.000
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 3 0.6111 0.3856 0.396 0.000 0.604
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 1 0.0000 0.9233 1.000 0.000 0.000
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.0000 0.9400 0.000 1.000 0.000
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 1 0.0000 0.9233 1.000 0.000 0.000
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 1 0.5363 0.6248 0.724 0.276 0.000
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 2 0.0000 0.9400 0.000 1.000 0.000
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.0000 0.9400 0.000 1.000 0.000
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 2 0.0000 0.9400 0.000 1.000 0.000
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 1 0.0000 0.9233 1.000 0.000 0.000
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 2 0.3192 0.8294 0.000 0.888 0.112
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 1 0.4605 0.7135 0.796 0.204 0.000
#> FDB47AC4-CE6A-428B-9B55-EBCEF1970ACB 1 0.0000 0.9233 1.000 0.000 0.000
#> 133B7E7B-FD50-48A2-9A35-E6D44FAB976B 2 0.0000 0.9400 0.000 1.000 0.000
#> E69E45DA-66A6-438A-9BFC-5F1F7F5C5A87 1 0.0000 0.9233 1.000 0.000 0.000
#> 6E242DF5-8B8B-4C6F-870E-C7ADFFAFDF3E 2 0.0000 0.9400 0.000 1.000 0.000
#> CB7BBFF1-4BF3-42A9-85C6-680D91503799 1 0.0000 0.9233 1.000 0.000 0.000
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#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 1 0.0000 0.9233 1.000 0.000 0.000
#> B54639CE-F721-4908-B758-309F148AD3C2 2 0.0000 0.9400 0.000 1.000 0.000
#> EB4294E1-3FBC-495C-A041-829A654B59C5 3 0.0000 0.9053 0.000 0.000 1.000
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 3 0.6095 0.4415 0.000 0.392 0.608
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.0000 0.9400 0.000 1.000 0.000
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 3 0.0000 0.9053 0.000 0.000 1.000
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.0000 0.9400 0.000 1.000 0.000
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 3 0.0000 0.9053 0.000 0.000 1.000
#> D34036E4-1122-42AE-B20F-F4C8515872A0 2 0.0000 0.9400 0.000 1.000 0.000
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 2 0.0237 0.9372 0.004 0.996 0.000
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 1 0.0000 0.9233 1.000 0.000 0.000
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 3 0.0000 0.9053 0.000 0.000 1.000
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.0000 0.9400 0.000 1.000 0.000
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.0000 0.9400 0.000 1.000 0.000
#> F3C13430-405E-432E-8F3E-0DD18E86087E 2 0.0000 0.9400 0.000 1.000 0.000
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.0000 0.9400 0.000 1.000 0.000
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 3 0.6330 0.3817 0.396 0.004 0.600
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.0000 0.9400 0.000 1.000 0.000
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.4504 0.7276 0.196 0.804 0.000
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 3 0.6498 0.4259 0.008 0.396 0.596
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.0000 0.9400 0.000 1.000 0.000
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 3 0.0000 0.9053 0.000 0.000 1.000
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 1 0.0000 0.9233 1.000 0.000 0.000
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 3 0.8163 0.5601 0.248 0.124 0.628
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.0000 0.9400 0.000 1.000 0.000
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.0000 0.9053 0.000 0.000 1.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.0000 0.9053 0.000 0.000 1.000
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 2 0.0000 0.9400 0.000 1.000 0.000
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 1 0.6291 0.1436 0.532 0.468 0.000
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.0000 0.9400 0.000 1.000 0.000
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 1 0.0000 0.9233 1.000 0.000 0.000
#> 343F031B-0095-429D-8212-AD0581DBB05B 1 0.0000 0.9233 1.000 0.000 0.000
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 2 0.0000 0.9400 0.000 1.000 0.000
#> 03A226C5-398D-41D2-BB72-C97A373CD512 3 0.0747 0.8960 0.016 0.000 0.984
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 1 0.5363 0.6248 0.724 0.276 0.000
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 2 0.4002 0.7769 0.160 0.840 0.000
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 2 0.3038 0.8391 0.000 0.896 0.104
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.0000 0.9400 0.000 1.000 0.000
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.0000 0.9400 0.000 1.000 0.000
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.4555 0.7217 0.200 0.800 0.000
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.0000 0.9053 0.000 0.000 1.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 3 0.0000 0.9053 0.000 0.000 1.000
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.0000 0.9053 0.000 0.000 1.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 1 0.0000 0.9233 1.000 0.000 0.000
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.0000 0.9053 0.000 0.000 1.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.0000 0.9400 0.000 1.000 0.000
#> FC7821F4-6495-4545-A22A-764BB99B3F79 2 0.0237 0.9371 0.000 0.996 0.004
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.0000 0.9400 0.000 1.000 0.000
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.4750 0.6945 0.216 0.784 0.000
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.4555 0.7231 0.200 0.800 0.000
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.0000 0.9400 0.000 1.000 0.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 2 0.4178 0.7682 0.000 0.828 0.172
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 1 0.0000 0.9233 1.000 0.000 0.000
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.0000 0.9400 0.000 1.000 0.000
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0000 0.9053 0.000 0.000 1.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 1 0.3941 0.7697 0.844 0.156 0.000
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.6079 0.3411 0.388 0.612 0.000
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 1 0.0000 0.9233 1.000 0.000 0.000
#> BEE081CA-8420-4314-88A0-286BB30FFD65 1 0.0000 0.9233 1.000 0.000 0.000
#> C464CD1D-4519-48E8-A18A-403F691E5702 3 0.4555 0.7505 0.000 0.200 0.800
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 3 0.0000 0.9053 0.000 0.000 1.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 1 0.6302 0.0835 0.520 0.480 0.000
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0000 0.9400 0.000 1.000 0.000
#> A563359B-0D55-4826-9229-62A89143C1C6 3 0.0000 0.9053 0.000 0.000 1.000
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 3 0.4555 0.7505 0.000 0.200 0.800
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.3688 0.7353 0.208 0.792 0.000 0.000
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 4 0.0000 0.8632 0.000 0.000 0.000 1.000
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 2 0.0524 0.9198 0.008 0.988 0.004 0.000
#> 91202998-760F-4421-B1C4-18639962EDDA 4 0.0000 0.8632 0.000 0.000 0.000 1.000
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.0000 0.9236 0.000 1.000 0.000 0.000
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 4 0.5212 0.3205 0.000 0.420 0.008 0.572
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 4 0.0188 0.8614 0.000 0.000 0.004 0.996
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.3870 0.6959 0.000 0.788 0.004 0.208
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.0188 0.9226 0.000 0.996 0.004 0.000
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.0188 0.9226 0.000 0.996 0.004 0.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 4 0.0000 0.8632 0.000 0.000 0.000 1.000
#> 784B2359-6064-4FAA-9311-7A852F061FBB 4 0.2011 0.8042 0.000 0.000 0.080 0.920
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 2 0.0376 0.9214 0.004 0.992 0.004 0.000
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 1 0.0188 0.8990 0.996 0.000 0.004 0.000
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0336 0.9349 0.008 0.000 0.992 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.0000 0.9236 0.000 1.000 0.000 0.000
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.0469 0.9015 0.988 0.000 0.012 0.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 4 0.0000 0.8632 0.000 0.000 0.000 1.000
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 4 0.5016 0.3840 0.000 0.396 0.004 0.600
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.0336 0.9021 0.992 0.000 0.008 0.000
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.4088 0.6988 0.232 0.764 0.000 0.004
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.0188 0.9226 0.000 0.996 0.004 0.000
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 1 0.5028 0.4060 0.596 0.400 0.004 0.000
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 4 0.0469 0.8554 0.012 0.000 0.000 0.988
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.0376 0.9214 0.004 0.992 0.004 0.000
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 2 0.5013 0.4235 0.004 0.644 0.004 0.348
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.0188 0.9226 0.000 0.996 0.004 0.000
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.0000 0.9236 0.000 1.000 0.000 0.000
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.0336 0.9349 0.008 0.000 0.992 0.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.5060 0.2039 0.412 0.584 0.004 0.000
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 4 0.5050 0.3567 0.000 0.408 0.004 0.588
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 1 0.4978 0.4437 0.612 0.384 0.004 0.000
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.0779 0.9126 0.000 0.980 0.004 0.016
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.0000 0.9236 0.000 1.000 0.000 0.000
#> 2846A3AC-D102-4E37-9B72-139ED727157A 2 0.2053 0.8756 0.072 0.924 0.004 0.000
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 1 0.0921 0.8849 0.972 0.028 0.000 0.000
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 4 0.0000 0.8632 0.000 0.000 0.000 1.000
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.0469 0.9015 0.988 0.000 0.012 0.000
#> 150F5B77-4848-4D68-800A-0A0236C3661F 2 0.0188 0.9222 0.000 0.996 0.004 0.000
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.0376 0.9009 0.992 0.004 0.004 0.000
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.0000 0.9236 0.000 1.000 0.000 0.000
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.0000 0.9236 0.000 1.000 0.000 0.000
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 1 0.5004 0.3619 0.604 0.000 0.004 0.392
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 3 0.5203 0.2800 0.008 0.416 0.576 0.000
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.0469 0.9191 0.012 0.988 0.000 0.000
#> 1447B543-D3AC-41B5-878F-B382FE49421B 1 0.0188 0.8997 0.996 0.000 0.000 0.004
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 1 0.3831 0.7162 0.792 0.204 0.004 0.000
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 4 0.0000 0.8632 0.000 0.000 0.000 1.000
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.0336 0.9349 0.008 0.000 0.992 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 4 0.0000 0.8632 0.000 0.000 0.000 1.000
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 4 0.5151 0.1974 0.000 0.464 0.004 0.532
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.0469 0.9015 0.988 0.000 0.012 0.000
#> D9225689-21E0-478A-8F79-C26542938B8D 3 0.0592 0.9205 0.000 0.000 0.984 0.016
#> FC3BA46D-57F6-424C-8D62-16C441035969 2 0.0469 0.9203 0.000 0.988 0.012 0.000
#> 045CFFE6-4736-42F2-9340-C37690E47882 3 0.0336 0.9349 0.008 0.000 0.992 0.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 3 0.4661 0.4413 0.348 0.000 0.652 0.000
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 1 0.3668 0.7340 0.808 0.188 0.004 0.000
#> E94B217F-C5DC-4F42-8135-E81F338914B5 2 0.5016 0.2825 0.000 0.600 0.004 0.396
#> AE4C3956-76DF-4059-8D69-3D764F31817F 2 0.0188 0.9226 0.000 0.996 0.004 0.000
#> 33D6A38E-CD99-437B-99E0-04E72582F777 4 0.5039 0.3661 0.000 0.404 0.004 0.592
#> 8379051C-5847-42B5-AC5C-A128C166AB97 4 0.0000 0.8632 0.000 0.000 0.000 1.000
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 4 0.0000 0.8632 0.000 0.000 0.000 1.000
#> 40A16429-229E-4F40-BFC7-263554438F99 2 0.0336 0.9217 0.000 0.992 0.008 0.000
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 3 0.5150 0.3284 0.008 0.396 0.596 0.000
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 4 0.4252 0.6375 0.000 0.252 0.004 0.744
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 1 0.5427 0.2730 0.568 0.000 0.016 0.416
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 4 0.0000 0.8632 0.000 0.000 0.000 1.000
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.0188 0.9225 0.004 0.996 0.000 0.000
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 4 0.0188 0.8614 0.000 0.000 0.004 0.996
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 4 0.5080 0.3280 0.000 0.420 0.004 0.576
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 2 0.1211 0.9007 0.000 0.960 0.040 0.000
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.0000 0.9236 0.000 1.000 0.000 0.000
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 2 0.0188 0.9226 0.000 0.996 0.004 0.000
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 4 0.0000 0.8632 0.000 0.000 0.000 1.000
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 1 0.1940 0.8474 0.924 0.076 0.000 0.000
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 2 0.4576 0.6407 0.000 0.748 0.020 0.232
#> FDB47AC4-CE6A-428B-9B55-EBCEF1970ACB 4 0.3249 0.7423 0.000 0.140 0.008 0.852
#> 133B7E7B-FD50-48A2-9A35-E6D44FAB976B 2 0.0657 0.9178 0.012 0.984 0.004 0.000
#> E69E45DA-66A6-438A-9BFC-5F1F7F5C5A87 4 0.0000 0.8632 0.000 0.000 0.000 1.000
#> 6E242DF5-8B8B-4C6F-870E-C7ADFFAFDF3E 2 0.0000 0.9236 0.000 1.000 0.000 0.000
#> CB7BBFF1-4BF3-42A9-85C6-680D91503799 4 0.0000 0.8632 0.000 0.000 0.000 1.000
#> 70AA4670-C75B-4E39-8958-3F9C29811871 2 0.0000 0.9236 0.000 1.000 0.000 0.000
#> D63C5178-4FF7-4FD0-B87E-6CBF6E7BEF5B 2 0.0000 0.9236 0.000 1.000 0.000 0.000
#> 814391F8-C5B9-43F6-A330-A6749BB8F16E 4 0.0188 0.8614 0.000 0.000 0.004 0.996
#> 146ED7EA-BF3C-4BAB-B33C-0A668AB13C80 4 0.0000 0.8632 0.000 0.000 0.000 1.000
#> FD5CAFE8-E669-406A-A505-A47DCDC32E93 4 0.0000 0.8632 0.000 0.000 0.000 1.000
#> 4B3C7910-A652-45B5-8218-9002EB0FD9EB 2 0.0188 0.9226 0.000 0.996 0.004 0.000
#> E410F77D-E31F-4D73-ACAC-9245935A92F5 3 0.3196 0.8111 0.136 0.008 0.856 0.000
#> 64336403-9037-480C-873A-67BC77119FA5 2 0.0000 0.9236 0.000 1.000 0.000 0.000
#> 6F9D5013-3B1B-41EE-85DB-E51F5D828DEF 4 0.0000 0.8632 0.000 0.000 0.000 1.000
#> 155AEBBD-1C12-4F88-90C7-1C7FF7E3FB2C 4 0.0188 0.8614 0.000 0.000 0.004 0.996
#> D28DDCAA-682C-451F-8327-D2C2AFB044E2 2 0.0000 0.9236 0.000 1.000 0.000 0.000
#> 171523DC-2713-4EBF-A115-53A0BA174545 3 0.0336 0.9349 0.008 0.000 0.992 0.000
#> FD223304-87BA-4462-A5E5-01AB8C018C35 3 0.3892 0.6999 0.004 0.004 0.800 0.192
#> D8E06D8A-9063-4466-A3B0-7724F4737C7A 4 0.2011 0.8041 0.000 0.000 0.080 0.920
#> FFA5FFF7-6301-4CD8-8E63-A4D8294D1B0E 2 0.1911 0.8953 0.004 0.944 0.032 0.020
#> AF3648D6-C774-48CC-9428-ADC00402A562 3 0.0336 0.9349 0.008 0.000 0.992 0.000
#> BD406B65-B715-444E-95B4-F38D05BAC863 4 0.0188 0.8614 0.000 0.000 0.004 0.996
#> 6DB67CA1-0BEB-4585-9867-40E7C8A96D55 2 0.0000 0.9236 0.000 1.000 0.000 0.000
#> 49C9DE1D-784D-405A-9DD3-C4D2890D0309 1 0.0524 0.9018 0.988 0.004 0.008 0.000
#> 05EC4D30-D34E-4497-B4F4-80AEDC2E70DF 1 0.0469 0.9015 0.988 0.000 0.012 0.000
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#> 2EB7025A-D932-4238-BD60-609B25150029 3 0.4193 0.6214 0.268 0.000 0.732 0.000
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 2 0.0188 0.9226 0.000 0.996 0.004 0.000
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 2 0.3444 0.7626 0.184 0.816 0.000 0.000
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 2 0.0188 0.9222 0.000 0.996 0.004 0.000
#> F081EA01-ED14-491B-9620-BF8F10A7431D 3 0.2040 0.8815 0.004 0.048 0.936 0.012
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 2 0.0000 0.9236 0.000 1.000 0.000 0.000
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 4 0.0188 0.8614 0.000 0.000 0.004 0.996
#> B54639CE-F721-4908-B758-309F148AD3C2 2 0.0376 0.9214 0.004 0.992 0.004 0.000
#> EB4294E1-3FBC-495C-A041-829A654B59C5 3 0.0336 0.9349 0.008 0.000 0.992 0.000
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 1 0.3400 0.7445 0.820 0.180 0.000 0.000
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.0000 0.9236 0.000 1.000 0.000 0.000
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 1 0.0336 0.9021 0.992 0.000 0.008 0.000
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.0000 0.9236 0.000 1.000 0.000 0.000
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 1 0.0469 0.9015 0.988 0.000 0.012 0.000
#> D34036E4-1122-42AE-B20F-F4C8515872A0 2 0.0000 0.9236 0.000 1.000 0.000 0.000
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 2 0.0188 0.9222 0.000 0.996 0.004 0.000
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 4 0.0000 0.8632 0.000 0.000 0.000 1.000
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 3 0.0336 0.9349 0.008 0.000 0.992 0.000
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.0000 0.9236 0.000 1.000 0.000 0.000
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.0000 0.9236 0.000 1.000 0.000 0.000
#> F3C13430-405E-432E-8F3E-0DD18E86087E 2 0.0657 0.9178 0.012 0.984 0.004 0.000
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.0000 0.9236 0.000 1.000 0.000 0.000
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 1 0.3208 0.7741 0.848 0.000 0.004 0.148
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.0000 0.9236 0.000 1.000 0.000 0.000
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.2266 0.8519 0.000 0.912 0.004 0.084
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 1 0.0188 0.8994 0.996 0.004 0.000 0.000
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.0000 0.9236 0.000 1.000 0.000 0.000
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.0336 0.9021 0.992 0.000 0.008 0.000
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 4 0.1305 0.8381 0.036 0.000 0.004 0.960
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 1 0.0376 0.9010 0.992 0.000 0.004 0.004
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.0469 0.9190 0.000 0.988 0.012 0.000
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.0336 0.9349 0.008 0.000 0.992 0.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.0336 0.9349 0.008 0.000 0.992 0.000
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 2 0.0376 0.9214 0.004 0.992 0.004 0.000
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 2 0.5147 0.0716 0.004 0.536 0.000 0.460
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.3172 0.7922 0.160 0.840 0.000 0.000
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 4 0.0000 0.8632 0.000 0.000 0.000 1.000
#> 343F031B-0095-429D-8212-AD0581DBB05B 4 0.0000 0.8632 0.000 0.000 0.000 1.000
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 2 0.0524 0.9198 0.008 0.988 0.004 0.000
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.0657 0.9014 0.984 0.000 0.012 0.004
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 4 0.5088 0.3176 0.000 0.424 0.004 0.572
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 2 0.4253 0.7767 0.044 0.820 0.004 0.132
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 1 0.4855 0.4125 0.600 0.400 0.000 0.000
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.4746 0.3543 0.368 0.632 0.000 0.000
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.0000 0.9236 0.000 1.000 0.000 0.000
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.3610 0.7123 0.000 0.800 0.000 0.200
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.0336 0.9349 0.008 0.000 0.992 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.0469 0.9015 0.988 0.000 0.012 0.000
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.0336 0.9349 0.008 0.000 0.992 0.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 4 0.0000 0.8632 0.000 0.000 0.000 1.000
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.0336 0.9349 0.008 0.000 0.992 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.0000 0.9236 0.000 1.000 0.000 0.000
#> FC7821F4-6495-4545-A22A-764BB99B3F79 1 0.1211 0.8743 0.960 0.040 0.000 0.000
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.0000 0.9236 0.000 1.000 0.000 0.000
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.1305 0.8986 0.000 0.960 0.004 0.036
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.1661 0.8829 0.000 0.944 0.004 0.052
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.0000 0.9236 0.000 1.000 0.000 0.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 1 0.0376 0.8978 0.992 0.004 0.004 0.000
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 4 0.0000 0.8632 0.000 0.000 0.000 1.000
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.3219 0.7861 0.164 0.836 0.000 0.000
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0336 0.9349 0.008 0.000 0.992 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 4 0.3721 0.6707 0.004 0.176 0.004 0.816
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.4679 0.4134 0.000 0.648 0.000 0.352
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 4 0.0000 0.8632 0.000 0.000 0.000 1.000
#> BEE081CA-8420-4314-88A0-286BB30FFD65 4 0.0000 0.8632 0.000 0.000 0.000 1.000
#> C464CD1D-4519-48E8-A18A-403F691E5702 1 0.1867 0.8502 0.928 0.072 0.000 0.000
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.0469 0.9015 0.988 0.000 0.012 0.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.7291 0.1848 0.004 0.512 0.144 0.340
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0000 0.9236 0.000 1.000 0.000 0.000
#> A563359B-0D55-4826-9229-62A89143C1C6 3 0.3801 0.6921 0.220 0.000 0.780 0.000
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.0188 0.8994 0.996 0.004 0.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.3460 0.61629 0.128 0.828 0.000 0.000 0.044
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 4 0.0290 0.86225 0.000 0.000 0.000 0.992 0.008
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 5 0.4283 0.54917 0.000 0.456 0.000 0.000 0.544
#> 91202998-760F-4421-B1C4-18639962EDDA 4 0.0000 0.86383 0.000 0.000 0.000 1.000 0.000
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.0000 0.72096 0.000 1.000 0.000 0.000 0.000
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 5 0.1818 0.47980 0.000 0.044 0.000 0.024 0.932
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 4 0.4227 0.52843 0.000 0.000 0.000 0.580 0.420
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.4283 0.38639 0.000 0.544 0.000 0.000 0.456
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 5 0.4262 0.42434 0.000 0.440 0.000 0.000 0.560
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 5 0.4138 0.56813 0.000 0.384 0.000 0.000 0.616
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 4 0.0000 0.86383 0.000 0.000 0.000 1.000 0.000
#> 784B2359-6064-4FAA-9311-7A852F061FBB 4 0.6071 0.53143 0.000 0.000 0.192 0.572 0.236
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 5 0.4287 0.54755 0.000 0.460 0.000 0.000 0.540
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 1 0.1341 0.86794 0.944 0.000 0.000 0.000 0.056
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0000 0.92407 0.000 0.000 1.000 0.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.0162 0.71972 0.000 0.996 0.000 0.000 0.004
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.0000 0.90000 1.000 0.000 0.000 0.000 0.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 4 0.3424 0.72258 0.000 0.000 0.000 0.760 0.240
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 2 0.5694 0.29161 0.000 0.464 0.000 0.080 0.456
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.0000 0.90000 1.000 0.000 0.000 0.000 0.000
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.3750 0.52822 0.232 0.756 0.000 0.000 0.012
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.3913 0.02919 0.000 0.676 0.000 0.000 0.324
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 1 0.5304 0.26481 0.560 0.384 0.000 0.000 0.056
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 4 0.0290 0.86005 0.008 0.000 0.000 0.992 0.000
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 5 0.4283 0.54917 0.000 0.456 0.000 0.000 0.544
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 5 0.4495 0.59653 0.000 0.244 0.000 0.044 0.712
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.3508 0.29426 0.000 0.748 0.000 0.000 0.252
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.2690 0.65255 0.000 0.844 0.000 0.000 0.156
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.0000 0.92407 0.000 0.000 1.000 0.000 0.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 5 0.4283 0.54917 0.000 0.456 0.000 0.000 0.544
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 2 0.5737 0.28581 0.000 0.460 0.000 0.084 0.456
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 1 0.6878 -0.04336 0.440 0.372 0.000 0.020 0.168
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.4283 0.38639 0.000 0.544 0.000 0.000 0.456
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.0162 0.71991 0.000 0.996 0.000 0.000 0.004
#> 2846A3AC-D102-4E37-9B72-139ED727157A 2 0.6121 -0.36641 0.128 0.464 0.000 0.000 0.408
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 1 0.3810 0.69422 0.788 0.176 0.000 0.000 0.036
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 4 0.0000 0.86383 0.000 0.000 0.000 1.000 0.000
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.0000 0.90000 1.000 0.000 0.000 0.000 0.000
#> 150F5B77-4848-4D68-800A-0A0236C3661F 2 0.3932 0.50729 0.000 0.672 0.000 0.000 0.328
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.0000 0.90000 1.000 0.000 0.000 0.000 0.000
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.0000 0.72096 0.000 1.000 0.000 0.000 0.000
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.0000 0.72096 0.000 1.000 0.000 0.000 0.000
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 4 0.4304 -0.03873 0.484 0.000 0.000 0.516 0.000
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 5 0.5510 0.58094 0.000 0.380 0.072 0.000 0.548
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.1043 0.69623 0.000 0.960 0.000 0.000 0.040
#> 1447B543-D3AC-41B5-878F-B382FE49421B 1 0.0000 0.90000 1.000 0.000 0.000 0.000 0.000
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 1 0.4728 0.49585 0.664 0.296 0.000 0.000 0.040
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 4 0.1792 0.83611 0.000 0.000 0.000 0.916 0.084
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.0000 0.92407 0.000 0.000 1.000 0.000 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 4 0.1851 0.83425 0.000 0.000 0.000 0.912 0.088
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 2 0.5604 0.30221 0.000 0.472 0.000 0.072 0.456
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.0000 0.90000 1.000 0.000 0.000 0.000 0.000
#> D9225689-21E0-478A-8F79-C26542938B8D 5 0.4452 -0.05706 0.000 0.000 0.496 0.004 0.500
#> FC3BA46D-57F6-424C-8D62-16C441035969 5 0.4088 0.57723 0.000 0.368 0.000 0.000 0.632
#> 045CFFE6-4736-42F2-9340-C37690E47882 3 0.0000 0.92407 0.000 0.000 1.000 0.000 0.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 5 0.5236 -0.03131 0.044 0.000 0.464 0.000 0.492
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 1 0.4313 0.61926 0.732 0.228 0.000 0.000 0.040
#> E94B217F-C5DC-4F42-8135-E81F338914B5 2 0.4731 0.37117 0.000 0.528 0.000 0.016 0.456
#> AE4C3956-76DF-4059-8D69-3D764F31817F 2 0.4088 -0.12857 0.000 0.632 0.000 0.000 0.368
#> 33D6A38E-CD99-437B-99E0-04E72582F777 2 0.5694 0.29161 0.000 0.464 0.000 0.080 0.456
#> 8379051C-5847-42B5-AC5C-A128C166AB97 4 0.1851 0.83425 0.000 0.000 0.000 0.912 0.088
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 4 0.1851 0.83425 0.000 0.000 0.000 0.912 0.088
#> 40A16429-229E-4F40-BFC7-263554438F99 5 0.1270 0.49209 0.000 0.052 0.000 0.000 0.948
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 5 0.2676 0.49164 0.000 0.036 0.080 0.000 0.884
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 5 0.5010 0.17456 0.000 0.248 0.000 0.076 0.676
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 1 0.5053 0.51200 0.624 0.000 0.000 0.052 0.324
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 4 0.1851 0.83425 0.000 0.000 0.000 0.912 0.088
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.0963 0.69972 0.000 0.964 0.000 0.000 0.036
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 4 0.3949 0.63693 0.000 0.000 0.000 0.668 0.332
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 2 0.5693 0.29724 0.000 0.468 0.000 0.080 0.452
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 2 0.2450 0.69144 0.000 0.900 0.052 0.000 0.048
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.0162 0.72142 0.000 0.996 0.000 0.000 0.004
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 5 0.4304 0.50997 0.000 0.484 0.000 0.000 0.516
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 4 0.1608 0.84142 0.000 0.000 0.000 0.928 0.072
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 1 0.2873 0.78422 0.856 0.128 0.000 0.000 0.016
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 5 0.1809 0.50588 0.000 0.060 0.000 0.012 0.928
#> FDB47AC4-CE6A-428B-9B55-EBCEF1970ACB 5 0.1809 0.46210 0.000 0.012 0.000 0.060 0.928
#> 133B7E7B-FD50-48A2-9A35-E6D44FAB976B 5 0.4283 0.54917 0.000 0.456 0.000 0.000 0.544
#> E69E45DA-66A6-438A-9BFC-5F1F7F5C5A87 4 0.0000 0.86383 0.000 0.000 0.000 1.000 0.000
#> 6E242DF5-8B8B-4C6F-870E-C7ADFFAFDF3E 2 0.1197 0.71269 0.000 0.952 0.000 0.000 0.048
#> CB7BBFF1-4BF3-42A9-85C6-680D91503799 4 0.0000 0.86383 0.000 0.000 0.000 1.000 0.000
#> 70AA4670-C75B-4E39-8958-3F9C29811871 2 0.2690 0.57439 0.000 0.844 0.000 0.000 0.156
#> D63C5178-4FF7-4FD0-B87E-6CBF6E7BEF5B 2 0.0162 0.72142 0.000 0.996 0.000 0.000 0.004
#> 814391F8-C5B9-43F6-A330-A6749BB8F16E 4 0.4182 0.57402 0.000 0.004 0.000 0.644 0.352
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#> DAC07889-EE06-46E0-B1F1-833ECC0A48A9 2 0.1341 0.71239 0.000 0.944 0.000 0.000 0.056
#> E7B555A3-567B-4A44-8225-D269E73FB50B 5 0.4677 0.32381 0.000 0.036 0.300 0.000 0.664
#> 3CC95101-C35F-4761-9D41-3C35BD55B37E 2 0.4256 0.40656 0.000 0.564 0.000 0.000 0.436
#> F62E5A69-5E81-4B2A-8CC0-F4D6E188B187 1 0.0000 0.90000 1.000 0.000 0.000 0.000 0.000
#> C650633B-A369-4657-8693-FDFBF22BD34E 3 0.3480 0.64742 0.000 0.000 0.752 0.000 0.248
#> 5E514217-F0DB-49FD-9C5D-EB22628ED297 2 0.1121 0.71456 0.000 0.956 0.000 0.000 0.044
#> 6E1DB9BF-06FE-48B1-A2D8-EF2CE7591364 2 0.0000 0.72096 0.000 1.000 0.000 0.000 0.000
#> C9581CE3-58B6-45B4-B4B7-15F555FD84A4 4 0.1341 0.84087 0.000 0.000 0.000 0.944 0.056
#> F56C26ED-9358-485B-8867-EBA1CAA4E2A7 2 0.4687 0.24734 0.288 0.672 0.000 0.000 0.040
#> 45CA3F9E-40EE-43A4-AE57-FE51D4003844 2 0.0162 0.72142 0.000 0.996 0.000 0.000 0.004
#> 47EFA063-19C1-4E1F-ACE8-68D9BAD0B995 1 0.0000 0.90000 1.000 0.000 0.000 0.000 0.000
#> 8C30EA0F-0DA1-43C7-81AE-DE825A53F114 3 0.0000 0.92407 0.000 0.000 1.000 0.000 0.000
#> 2CE7477C-DD09-4B3A-AD65-C696BE8C9B11 1 0.0000 0.90000 1.000 0.000 0.000 0.000 0.000
#> 4DECB19A-290F-4CEB-BE25-AAF9B9E2B58F 1 0.0000 0.90000 1.000 0.000 0.000 0.000 0.000
#> 3DEA9B14-DF42-43A0-AC4A-32AE7A16218D 5 0.4283 0.54917 0.000 0.456 0.000 0.000 0.544
#> 9F57D45B-C62F-44C5-AB9D-0CB54BBA16F5 2 0.4430 0.38369 0.000 0.540 0.000 0.004 0.456
#> 54ACCFD9-A8D6-4E4C-9097-1A0BE258AA1B 1 0.0000 0.90000 1.000 0.000 0.000 0.000 0.000
#> 9EE67DE9-9B56-4773-8F6A-1036D31F568E 4 0.4114 0.58467 0.000 0.000 0.000 0.624 0.376
#> 1B1C9301-D6D6-4F6B-80A3-3603013AA951 2 0.4283 0.38639 0.000 0.544 0.000 0.000 0.456
#> DDDCDF00-FB0A-477B-891B-2EE5E0C8F61E 3 0.0000 0.92407 0.000 0.000 1.000 0.000 0.000
#> 34A3260D-AC4D-416F-ADF0-24013048BC46 1 0.1469 0.87178 0.948 0.016 0.000 0.000 0.036
#> 671C1840-9C1B-4AC1-9564-78802489F763 1 0.0000 0.90000 1.000 0.000 0.000 0.000 0.000
#> BA4F7841-9FC3-4CE6-ACA5-43FC36641640 2 0.2719 0.62654 0.144 0.852 0.000 0.000 0.004
#> 24A02CE5-28E7-457E-8B90-4EACA528B072 1 0.0000 0.90000 1.000 0.000 0.000 0.000 0.000
#> C7008665-F6DE-48B4-A0E7-6C388B72C609 2 0.0000 0.72096 0.000 1.000 0.000 0.000 0.000
#> 50F984AB-95C1-4D7B-A787-418CBB59D165 4 0.0000 0.86383 0.000 0.000 0.000 1.000 0.000
#> 5FFD2A6A-ED8A-44A9-9FC1-3106341C284A 2 0.1410 0.70933 0.000 0.940 0.000 0.000 0.060
#> 7481630E-5CBA-4A4A-A16F-E327BCEE11D3 1 0.0566 0.89276 0.984 0.004 0.012 0.000 0.000
#> 7B3E6643-C148-4266-A3A3-80BAB713DD3E 2 0.0000 0.72096 0.000 1.000 0.000 0.000 0.000
#> BA8564FA-8D4D-4B2F-A178-63209F887A05 1 0.1908 0.82450 0.908 0.000 0.092 0.000 0.000
#> 2FB578F6-E8B7-434D-9720-D448A26C1EFD 1 0.0000 0.90000 1.000 0.000 0.000 0.000 0.000
#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 2 0.5059 0.03590 0.416 0.548 0.000 0.000 0.036
#> 740FCE46-8A4A-4A6A-B79F-78A63D28E313 2 0.2179 0.61372 0.000 0.888 0.000 0.000 0.112
#> 523A5832-0C42-44A4-A58F-7011C3A567DC 3 0.0000 0.92407 0.000 0.000 1.000 0.000 0.000
#> A2C68C81-7371-4E0C-BFD1-EA868A7C9499 2 0.0000 0.72096 0.000 1.000 0.000 0.000 0.000
#> 2EB7025A-D932-4238-BD60-609B25150029 5 0.4627 0.06337 0.012 0.000 0.444 0.000 0.544
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 5 0.4302 0.44697 0.000 0.480 0.000 0.000 0.520
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 2 0.2848 0.61289 0.156 0.840 0.000 0.000 0.004
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 2 0.4161 0.44695 0.000 0.608 0.000 0.000 0.392
#> F081EA01-ED14-491B-9620-BF8F10A7431D 5 0.4325 0.38800 0.000 0.036 0.240 0.000 0.724
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 2 0.0162 0.71972 0.000 0.996 0.000 0.000 0.004
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 4 0.3913 0.64584 0.000 0.000 0.000 0.676 0.324
#> B54639CE-F721-4908-B758-309F148AD3C2 5 0.4210 0.56155 0.000 0.412 0.000 0.000 0.588
#> EB4294E1-3FBC-495C-A041-829A654B59C5 3 0.0000 0.92407 0.000 0.000 1.000 0.000 0.000
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 1 0.3231 0.69588 0.800 0.196 0.000 0.000 0.004
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.0404 0.72088 0.000 0.988 0.000 0.000 0.012
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 1 0.0000 0.90000 1.000 0.000 0.000 0.000 0.000
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.0000 0.72096 0.000 1.000 0.000 0.000 0.000
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 1 0.0000 0.90000 1.000 0.000 0.000 0.000 0.000
#> D34036E4-1122-42AE-B20F-F4C8515872A0 2 0.0290 0.71865 0.000 0.992 0.000 0.000 0.008
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 2 0.4278 0.39019 0.000 0.548 0.000 0.000 0.452
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 4 0.0000 0.86383 0.000 0.000 0.000 1.000 0.000
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 3 0.0000 0.92407 0.000 0.000 1.000 0.000 0.000
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.0963 0.71665 0.000 0.964 0.000 0.000 0.036
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.0162 0.71991 0.000 0.996 0.000 0.000 0.004
#> F3C13430-405E-432E-8F3E-0DD18E86087E 2 0.4297 -0.42991 0.000 0.528 0.000 0.000 0.472
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.0000 0.72096 0.000 1.000 0.000 0.000 0.000
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 1 0.3109 0.71542 0.800 0.000 0.000 0.200 0.000
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.0000 0.72096 0.000 1.000 0.000 0.000 0.000
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.4283 0.38639 0.000 0.544 0.000 0.000 0.456
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 1 0.0000 0.90000 1.000 0.000 0.000 0.000 0.000
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.0162 0.71972 0.000 0.996 0.000 0.000 0.004
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.0000 0.90000 1.000 0.000 0.000 0.000 0.000
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 4 0.4321 0.31236 0.004 0.000 0.000 0.600 0.396
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 1 0.0000 0.90000 1.000 0.000 0.000 0.000 0.000
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.4165 0.40311 0.000 0.672 0.008 0.000 0.320
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.0000 0.92407 0.000 0.000 1.000 0.000 0.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.0000 0.92407 0.000 0.000 1.000 0.000 0.000
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 5 0.4287 0.54755 0.000 0.460 0.000 0.000 0.540
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 2 0.6210 0.25269 0.000 0.492 0.000 0.360 0.148
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.2890 0.60962 0.160 0.836 0.000 0.000 0.004
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 4 0.0000 0.86383 0.000 0.000 0.000 1.000 0.000
#> 343F031B-0095-429D-8212-AD0581DBB05B 4 0.0000 0.86383 0.000 0.000 0.000 1.000 0.000
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 5 0.4287 0.54755 0.000 0.460 0.000 0.000 0.540
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.0000 0.90000 1.000 0.000 0.000 0.000 0.000
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 2 0.5650 0.29701 0.000 0.468 0.000 0.076 0.456
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 5 0.4336 0.59370 0.008 0.280 0.000 0.012 0.700
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 1 0.4680 0.21703 0.540 0.448 0.000 0.008 0.004
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.4087 0.41070 0.208 0.756 0.000 0.000 0.036
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.2230 0.59898 0.000 0.884 0.000 0.000 0.116
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.5638 0.45643 0.000 0.636 0.000 0.192 0.172
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.0000 0.92407 0.000 0.000 1.000 0.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.0000 0.90000 1.000 0.000 0.000 0.000 0.000
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.0000 0.92407 0.000 0.000 1.000 0.000 0.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 4 0.1671 0.83974 0.000 0.000 0.000 0.924 0.076
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.0000 0.92407 0.000 0.000 1.000 0.000 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.0162 0.72142 0.000 0.996 0.000 0.000 0.004
#> FC7821F4-6495-4545-A22A-764BB99B3F79 1 0.3165 0.77631 0.848 0.116 0.000 0.000 0.036
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.1671 0.70326 0.000 0.924 0.000 0.000 0.076
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.4383 0.41292 0.000 0.572 0.000 0.004 0.424
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 5 0.4192 -0.15505 0.000 0.404 0.000 0.000 0.596
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.1121 0.71509 0.000 0.956 0.000 0.000 0.044
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 1 0.4161 0.34303 0.608 0.000 0.000 0.000 0.392
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 4 0.0000 0.86383 0.000 0.000 0.000 1.000 0.000
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.3123 0.58427 0.184 0.812 0.000 0.000 0.004
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0000 0.92407 0.000 0.000 1.000 0.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 5 0.5815 0.25510 0.000 0.096 0.000 0.396 0.508
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.6171 0.37959 0.000 0.556 0.000 0.204 0.240
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 4 0.0000 0.86383 0.000 0.000 0.000 1.000 0.000
#> BEE081CA-8420-4314-88A0-286BB30FFD65 4 0.0000 0.86383 0.000 0.000 0.000 1.000 0.000
#> C464CD1D-4519-48E8-A18A-403F691E5702 1 0.2011 0.82901 0.908 0.088 0.000 0.000 0.004
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.0000 0.90000 1.000 0.000 0.000 0.000 0.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 5 0.5709 0.57868 0.000 0.376 0.008 0.068 0.548
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0000 0.72096 0.000 1.000 0.000 0.000 0.000
#> A563359B-0D55-4826-9229-62A89143C1C6 3 0.3999 0.42354 0.344 0.000 0.656 0.000 0.000
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.0000 0.90000 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
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.2197 0.79025 0.056 0.900 0.000 0.000 0.044 0.000
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 4 0.0937 0.83541 0.000 0.000 0.000 0.960 0.000 0.040
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 5 0.0790 0.83044 0.000 0.032 0.000 0.000 0.968 0.000
#> 91202998-760F-4421-B1C4-18639962EDDA 4 0.0000 0.86518 0.000 0.000 0.000 1.000 0.000 0.000
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.2662 0.83139 0.000 0.856 0.000 0.000 0.024 0.120
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 6 0.0000 0.75802 0.000 0.000 0.000 0.000 0.000 1.000
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 6 0.2562 0.64171 0.000 0.000 0.000 0.172 0.000 0.828
#> 54337CE9-6F12-4712-8131-4B83F3216343 6 0.2219 0.68965 0.000 0.136 0.000 0.000 0.000 0.864
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 5 0.4306 0.43156 0.000 0.032 0.000 0.000 0.624 0.344
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 5 0.1003 0.82810 0.000 0.016 0.000 0.000 0.964 0.020
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 4 0.0000 0.86518 0.000 0.000 0.000 1.000 0.000 0.000
#> 784B2359-6064-4FAA-9311-7A852F061FBB 6 0.3602 0.66225 0.000 0.000 0.136 0.072 0.000 0.792
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 5 0.1267 0.82312 0.000 0.060 0.000 0.000 0.940 0.000
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 1 0.2664 0.75111 0.816 0.000 0.000 0.000 0.184 0.000
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0000 0.95893 0.000 0.000 1.000 0.000 0.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.0632 0.83218 0.000 0.976 0.000 0.000 0.000 0.024
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.0000 0.89958 1.000 0.000 0.000 0.000 0.000 0.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 6 0.3351 0.52740 0.000 0.000 0.000 0.288 0.000 0.712
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 6 0.0000 0.75802 0.000 0.000 0.000 0.000 0.000 1.000
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.0000 0.89958 1.000 0.000 0.000 0.000 0.000 0.000
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.2095 0.78852 0.076 0.904 0.000 0.004 0.016 0.000
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 5 0.4853 0.47146 0.000 0.248 0.000 0.000 0.644 0.108
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 1 0.5466 0.46978 0.572 0.216 0.000 0.000 0.212 0.000
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 4 0.0000 0.86518 0.000 0.000 0.000 1.000 0.000 0.000
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 5 0.0458 0.83033 0.000 0.016 0.000 0.000 0.984 0.000
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 5 0.0717 0.82975 0.000 0.016 0.000 0.000 0.976 0.008
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.4827 0.66512 0.000 0.652 0.000 0.000 0.236 0.112
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.2562 0.80688 0.000 0.828 0.000 0.000 0.000 0.172
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.0000 0.95893 0.000 0.000 1.000 0.000 0.000 0.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 5 0.0146 0.82637 0.000 0.004 0.000 0.000 0.996 0.000
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 6 0.0000 0.75802 0.000 0.000 0.000 0.000 0.000 1.000
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 5 0.3972 0.42347 0.320 0.004 0.000 0.012 0.664 0.000
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 6 0.1267 0.72458 0.000 0.060 0.000 0.000 0.000 0.940
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.4183 0.76895 0.000 0.740 0.000 0.000 0.152 0.108
#> 2846A3AC-D102-4E37-9B72-139ED727157A 5 0.3929 0.56430 0.028 0.272 0.000 0.000 0.700 0.000
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.4078 0.45763 0.320 0.656 0.000 0.000 0.024 0.000
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 4 0.0000 0.86518 0.000 0.000 0.000 1.000 0.000 0.000
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.0000 0.89958 1.000 0.000 0.000 0.000 0.000 0.000
#> 150F5B77-4848-4D68-800A-0A0236C3661F 6 0.3747 0.19477 0.000 0.396 0.000 0.000 0.000 0.604
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.0146 0.89821 0.996 0.004 0.000 0.000 0.000 0.000
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.2999 0.82989 0.000 0.840 0.000 0.000 0.048 0.112
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.2053 0.83183 0.000 0.888 0.000 0.000 0.004 0.108
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#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 4 0.3864 -0.03356 0.000 0.000 0.000 0.520 0.000 0.480
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.0000 0.95893 0.000 0.000 1.000 0.000 0.000 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.2278 0.82729 0.000 0.868 0.000 0.000 0.004 0.128
#> FC7821F4-6495-4545-A22A-764BB99B3F79 2 0.4263 0.32287 0.376 0.600 0.000 0.000 0.024 0.000
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.3012 0.78752 0.000 0.796 0.000 0.000 0.008 0.196
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 6 0.3672 0.25000 0.000 0.368 0.000 0.000 0.000 0.632
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 6 0.2092 0.66075 0.000 0.000 0.000 0.000 0.124 0.876
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.1141 0.83528 0.000 0.948 0.000 0.000 0.000 0.052
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 1 0.3930 0.29796 0.576 0.004 0.000 0.000 0.420 0.000
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 4 0.2260 0.72581 0.000 0.000 0.000 0.860 0.000 0.140
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.3134 0.71348 0.168 0.808 0.000 0.000 0.024 0.000
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0000 0.95893 0.000 0.000 1.000 0.000 0.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 5 0.0937 0.81572 0.000 0.000 0.000 0.040 0.960 0.000
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 6 0.4729 0.55660 0.000 0.128 0.000 0.196 0.000 0.676
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 4 0.0000 0.86518 0.000 0.000 0.000 1.000 0.000 0.000
#> BEE081CA-8420-4314-88A0-286BB30FFD65 4 0.0937 0.83322 0.000 0.000 0.000 0.960 0.040 0.000
#> C464CD1D-4519-48E8-A18A-403F691E5702 1 0.2883 0.72065 0.788 0.000 0.000 0.000 0.212 0.000
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.0000 0.89958 1.000 0.000 0.000 0.000 0.000 0.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 5 0.0458 0.83033 0.000 0.016 0.000 0.000 0.984 0.000
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.2053 0.83183 0.000 0.888 0.000 0.000 0.004 0.108
#> A563359B-0D55-4826-9229-62A89143C1C6 3 0.3607 0.43045 0.348 0.000 0.652 0.000 0.000 0.000
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.0508 0.89391 0.984 0.004 0.000 0.000 0.012 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 17109 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'CV' method.
#> Subgroups are detected by 'pam' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 4.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.660 0.885 0.944 0.2381 0.788 0.788
#> 3 3 0.584 0.818 0.914 1.0706 0.722 0.653
#> 4 4 0.792 0.841 0.918 0.2887 0.796 0.636
#> 5 5 0.796 0.812 0.912 0.2039 0.823 0.550
#> 6 6 0.714 0.665 0.832 0.0474 0.967 0.859
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 4
Following shows the table of the partitions (You need to click the show/hide
code output link to see it). The membership matrix (columns with name p*)
is inferred by
clue::cl_consensus()
function with the SE method. Basically the value in the membership matrix
represents the probability to belong to a certain group. The finall class
label for an item is determined with the group with highest probability it
belongs to.
In get_classes() function, the entropy is calculated from the membership
matrix and the silhouette score is calculated from the consensus matrix.
cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#> class entropy silhouette p1 p2
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.0000 0.9457 0.000 1.000
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 2 0.0000 0.9457 0.000 1.000
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 2 0.0000 0.9457 0.000 1.000
#> 91202998-760F-4421-B1C4-18639962EDDA 2 0.0000 0.9457 0.000 1.000
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.0000 0.9457 0.000 1.000
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 2 0.0000 0.9457 0.000 1.000
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 2 0.0000 0.9457 0.000 1.000
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.0000 0.9457 0.000 1.000
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.0000 0.9457 0.000 1.000
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.0000 0.9457 0.000 1.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 2 0.0000 0.9457 0.000 1.000
#> 784B2359-6064-4FAA-9311-7A852F061FBB 2 0.0000 0.9457 0.000 1.000
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 2 0.0000 0.9457 0.000 1.000
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 2 0.6247 0.8104 0.156 0.844
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 1 0.0000 0.8444 1.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.0000 0.9457 0.000 1.000
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 2 0.9686 0.3656 0.396 0.604
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 2 0.0000 0.9457 0.000 1.000
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 2 0.0000 0.9457 0.000 1.000
#> A08E2707-DDB0-40FE-828F-14720768FB05 2 0.7376 0.7554 0.208 0.792
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.0000 0.9457 0.000 1.000
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.0000 0.9457 0.000 1.000
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 2 0.6623 0.7941 0.172 0.828
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 2 0.0000 0.9457 0.000 1.000
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.0000 0.9457 0.000 1.000
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 2 0.0000 0.9457 0.000 1.000
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.0000 0.9457 0.000 1.000
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.0000 0.9457 0.000 1.000
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 1 0.0000 0.8444 1.000 0.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.0000 0.9457 0.000 1.000
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 2 0.0000 0.9457 0.000 1.000
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 2 0.0000 0.9457 0.000 1.000
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.0000 0.9457 0.000 1.000
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.0000 0.9457 0.000 1.000
#> 2846A3AC-D102-4E37-9B72-139ED727157A 2 0.0000 0.9457 0.000 1.000
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.0000 0.9457 0.000 1.000
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 2 0.7376 0.7554 0.208 0.792
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 2 0.9686 0.3702 0.396 0.604
#> 150F5B77-4848-4D68-800A-0A0236C3661F 2 0.0000 0.9457 0.000 1.000
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 2 0.7376 0.7554 0.208 0.792
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.0000 0.9457 0.000 1.000
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.0000 0.9457 0.000 1.000
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 2 0.7376 0.7554 0.208 0.792
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 2 0.0000 0.9457 0.000 1.000
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.0000 0.9457 0.000 1.000
#> 1447B543-D3AC-41B5-878F-B382FE49421B 2 0.7056 0.7731 0.192 0.808
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 2 0.0000 0.9457 0.000 1.000
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 2 0.0000 0.9457 0.000 1.000
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 1 0.0000 0.8444 1.000 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 2 0.0000 0.9457 0.000 1.000
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 2 0.0000 0.9457 0.000 1.000
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.7219 0.7370 0.800 0.200
#> D9225689-21E0-478A-8F79-C26542938B8D 2 0.0000 0.9457 0.000 1.000
#> FC3BA46D-57F6-424C-8D62-16C441035969 2 0.0000 0.9457 0.000 1.000
#> 045CFFE6-4736-42F2-9340-C37690E47882 1 0.7376 0.7883 0.792 0.208
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 2 0.7376 0.7554 0.208 0.792
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 2 0.0000 0.9457 0.000 1.000
#> E94B217F-C5DC-4F42-8135-E81F338914B5 2 0.0000 0.9457 0.000 1.000
#> AE4C3956-76DF-4059-8D69-3D764F31817F 2 0.0000 0.9457 0.000 1.000
#> 33D6A38E-CD99-437B-99E0-04E72582F777 2 0.0000 0.9457 0.000 1.000
#> 8379051C-5847-42B5-AC5C-A128C166AB97 2 0.0000 0.9457 0.000 1.000
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 2 0.0000 0.9457 0.000 1.000
#> 40A16429-229E-4F40-BFC7-263554438F99 2 0.0000 0.9457 0.000 1.000
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 2 0.0000 0.9457 0.000 1.000
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 2 0.0000 0.9457 0.000 1.000
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 2 0.7376 0.7554 0.208 0.792
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 2 0.0000 0.9457 0.000 1.000
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.0000 0.9457 0.000 1.000
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 2 0.0000 0.9457 0.000 1.000
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 2 0.0000 0.9457 0.000 1.000
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 2 0.0000 0.9457 0.000 1.000
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.0000 0.9457 0.000 1.000
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 2 0.0000 0.9457 0.000 1.000
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 2 0.0000 0.9457 0.000 1.000
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 2 0.0000 0.9457 0.000 1.000
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 2 0.0000 0.9457 0.000 1.000
#> FDB47AC4-CE6A-428B-9B55-EBCEF1970ACB 2 0.0000 0.9457 0.000 1.000
#> 133B7E7B-FD50-48A2-9A35-E6D44FAB976B 2 0.0000 0.9457 0.000 1.000
#> E69E45DA-66A6-438A-9BFC-5F1F7F5C5A87 2 0.0000 0.9457 0.000 1.000
#> 6E242DF5-8B8B-4C6F-870E-C7ADFFAFDF3E 2 0.0000 0.9457 0.000 1.000
#> CB7BBFF1-4BF3-42A9-85C6-680D91503799 2 0.0000 0.9457 0.000 1.000
#> 70AA4670-C75B-4E39-8958-3F9C29811871 2 0.0000 0.9457 0.000 1.000
#> D63C5178-4FF7-4FD0-B87E-6CBF6E7BEF5B 2 0.0000 0.9457 0.000 1.000
#> 814391F8-C5B9-43F6-A330-A6749BB8F16E 2 0.0000 0.9457 0.000 1.000
#> 146ED7EA-BF3C-4BAB-B33C-0A668AB13C80 2 0.0000 0.9457 0.000 1.000
#> FD5CAFE8-E669-406A-A505-A47DCDC32E93 2 0.0000 0.9457 0.000 1.000
#> 4B3C7910-A652-45B5-8218-9002EB0FD9EB 2 0.0000 0.9457 0.000 1.000
#> E410F77D-E31F-4D73-ACAC-9245935A92F5 2 0.0000 0.9457 0.000 1.000
#> 64336403-9037-480C-873A-67BC77119FA5 2 0.0000 0.9457 0.000 1.000
#> 6F9D5013-3B1B-41EE-85DB-E51F5D828DEF 2 0.0000 0.9457 0.000 1.000
#> 155AEBBD-1C12-4F88-90C7-1C7FF7E3FB2C 2 0.0000 0.9457 0.000 1.000
#> D28DDCAA-682C-451F-8327-D2C2AFB044E2 2 0.0000 0.9457 0.000 1.000
#> 171523DC-2713-4EBF-A115-53A0BA174545 1 0.7376 0.7883 0.792 0.208
#> FD223304-87BA-4462-A5E5-01AB8C018C35 2 0.0000 0.9457 0.000 1.000
#> D8E06D8A-9063-4466-A3B0-7724F4737C7A 2 0.0000 0.9457 0.000 1.000
#> FFA5FFF7-6301-4CD8-8E63-A4D8294D1B0E 2 0.0000 0.9457 0.000 1.000
#> AF3648D6-C774-48CC-9428-ADC00402A562 1 0.7376 0.7883 0.792 0.208
#> BD406B65-B715-444E-95B4-F38D05BAC863 2 0.0000 0.9457 0.000 1.000
#> 6DB67CA1-0BEB-4585-9867-40E7C8A96D55 2 0.0000 0.9457 0.000 1.000
#> 49C9DE1D-784D-405A-9DD3-C4D2890D0309 2 0.7376 0.7554 0.208 0.792
#> 05EC4D30-D34E-4497-B4F4-80AEDC2E70DF 1 0.7139 0.7411 0.804 0.196
#> CB69E76B-7CD3-49EF-9ADF-75701FE1D0A8 2 0.0000 0.9457 0.000 1.000
#> 103C6E25-A69A-460E-81C0-7437547E1334 2 0.0000 0.9457 0.000 1.000
#> 2D986DB0-B5A8-42E8-ACB8-926A16FAABD6 2 0.0000 0.9457 0.000 1.000
#> 1B9A0F24-8A3F-4693-B09C-5F0EFE5A32A5 2 0.7376 0.7554 0.208 0.792
#> C064D1FE-753E-4493-907C-C5FFE19F9875 2 0.0000 0.9457 0.000 1.000
#> 71596860-AEFA-4B94-8ADE-AC33CEA24DD4 2 0.0000 0.9457 0.000 1.000
#> E9A3A454-AB4D-4683-B276-84DA43792DBB 2 0.2603 0.9114 0.044 0.956
#> C5717869-8413-4810-A042-32E949AD3B0A 2 0.0000 0.9457 0.000 1.000
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#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 1 0.7376 0.7883 0.792 0.208
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 2 0.0000 0.9457 0.000 1.000
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.0000 0.9457 0.000 1.000
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 2 0.0000 0.9457 0.000 1.000
#> BEE081CA-8420-4314-88A0-286BB30FFD65 2 0.0000 0.9457 0.000 1.000
#> C464CD1D-4519-48E8-A18A-403F691E5702 2 0.7376 0.7554 0.208 0.792
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.0000 0.8444 1.000 0.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.0000 0.9457 0.000 1.000
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0000 0.9457 0.000 1.000
#> A563359B-0D55-4826-9229-62A89143C1C6 2 0.7376 0.7554 0.208 0.792
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 2 0.7376 0.7554 0.208 0.792
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.4399 0.7366 0.188 0.812 0.000
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 2 0.4555 0.7651 0.200 0.800 0.000
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 2 0.0000 0.8982 0.000 1.000 0.000
#> 91202998-760F-4421-B1C4-18639962EDDA 1 0.6252 0.0028 0.556 0.444 0.000
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.0237 0.8978 0.004 0.996 0.000
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 2 0.0000 0.8982 0.000 1.000 0.000
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 2 0.6026 0.5274 0.376 0.624 0.000
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.1964 0.8756 0.056 0.944 0.000
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.0000 0.8982 0.000 1.000 0.000
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.0000 0.8982 0.000 1.000 0.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 2 0.5621 0.6250 0.308 0.692 0.000
#> 784B2359-6064-4FAA-9311-7A852F061FBB 2 0.4504 0.7679 0.196 0.804 0.000
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 2 0.0237 0.8978 0.004 0.996 0.000
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 1 0.5905 0.5699 0.648 0.352 0.000
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0000 0.9990 0.000 0.000 1.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.0237 0.8978 0.004 0.996 0.000
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.0000 0.8219 1.000 0.000 0.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 2 0.0000 0.8982 0.000 1.000 0.000
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 2 0.4504 0.7679 0.196 0.804 0.000
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.3686 0.7963 0.860 0.140 0.000
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.5216 0.6832 0.260 0.740 0.000
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.0000 0.8982 0.000 1.000 0.000
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 2 0.4931 0.6315 0.232 0.768 0.000
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 1 0.6192 0.1025 0.580 0.420 0.000
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.0000 0.8982 0.000 1.000 0.000
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 2 0.0000 0.8982 0.000 1.000 0.000
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.0237 0.8978 0.004 0.996 0.000
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.0000 0.8982 0.000 1.000 0.000
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.0000 0.9990 0.000 0.000 1.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.1643 0.8752 0.044 0.956 0.000
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 2 0.0000 0.8982 0.000 1.000 0.000
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 2 0.0592 0.8958 0.012 0.988 0.000
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.0000 0.8982 0.000 1.000 0.000
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.0000 0.8982 0.000 1.000 0.000
#> 2846A3AC-D102-4E37-9B72-139ED727157A 2 0.0000 0.8982 0.000 1.000 0.000
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.0592 0.8951 0.012 0.988 0.000
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 1 0.0237 0.8218 0.996 0.004 0.000
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.0237 0.8205 0.996 0.004 0.000
#> 150F5B77-4848-4D68-800A-0A0236C3661F 2 0.0000 0.8982 0.000 1.000 0.000
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.4178 0.7713 0.828 0.172 0.000
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.0000 0.8982 0.000 1.000 0.000
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.0237 0.8978 0.004 0.996 0.000
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 1 0.0237 0.8205 0.996 0.004 0.000
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 2 0.1163 0.8858 0.028 0.972 0.000
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.0424 0.8967 0.008 0.992 0.000
#> 1447B543-D3AC-41B5-878F-B382FE49421B 1 0.4399 0.6729 0.812 0.188 0.000
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 2 0.5397 0.5881 0.280 0.720 0.000
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 2 0.5591 0.6274 0.304 0.696 0.000
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.0000 0.9990 0.000 0.000 1.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 2 0.4504 0.7679 0.196 0.804 0.000
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 2 0.0424 0.8964 0.008 0.992 0.000
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.0000 0.8219 1.000 0.000 0.000
#> D9225689-21E0-478A-8F79-C26542938B8D 2 0.2066 0.8635 0.060 0.940 0.000
#> FC3BA46D-57F6-424C-8D62-16C441035969 2 0.0000 0.8982 0.000 1.000 0.000
#> 045CFFE6-4736-42F2-9340-C37690E47882 3 0.0000 0.9990 0.000 0.000 1.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 1 0.4062 0.7291 0.836 0.164 0.000
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 2 0.0424 0.8967 0.008 0.992 0.000
#> E94B217F-C5DC-4F42-8135-E81F338914B5 2 0.0000 0.8982 0.000 1.000 0.000
#> AE4C3956-76DF-4059-8D69-3D764F31817F 2 0.0000 0.8982 0.000 1.000 0.000
#> 33D6A38E-CD99-437B-99E0-04E72582F777 2 0.4452 0.7716 0.192 0.808 0.000
#> 8379051C-5847-42B5-AC5C-A128C166AB97 2 0.4504 0.7679 0.196 0.804 0.000
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 2 0.4504 0.7679 0.196 0.804 0.000
#> 40A16429-229E-4F40-BFC7-263554438F99 2 0.0000 0.8982 0.000 1.000 0.000
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 2 0.0000 0.8982 0.000 1.000 0.000
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 2 0.0747 0.8925 0.016 0.984 0.000
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 1 0.2625 0.7876 0.916 0.084 0.000
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 2 0.5529 0.6588 0.296 0.704 0.000
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.0237 0.8978 0.004 0.996 0.000
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 2 0.5216 0.7003 0.260 0.740 0.000
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 2 0.3412 0.8251 0.124 0.876 0.000
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 2 0.0000 0.8982 0.000 1.000 0.000
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.0237 0.8978 0.004 0.996 0.000
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 2 0.0000 0.8982 0.000 1.000 0.000
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 2 0.6008 0.5342 0.372 0.628 0.000
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 2 0.0592 0.8951 0.012 0.988 0.000
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 2 0.1411 0.8841 0.036 0.964 0.000
#> FDB47AC4-CE6A-428B-9B55-EBCEF1970ACB 2 0.2448 0.8670 0.076 0.924 0.000
#> 133B7E7B-FD50-48A2-9A35-E6D44FAB976B 2 0.0237 0.8978 0.004 0.996 0.000
#> E69E45DA-66A6-438A-9BFC-5F1F7F5C5A87 2 0.5926 0.5718 0.356 0.644 0.000
#> 6E242DF5-8B8B-4C6F-870E-C7ADFFAFDF3E 2 0.0000 0.8982 0.000 1.000 0.000
#> CB7BBFF1-4BF3-42A9-85C6-680D91503799 2 0.6045 0.5249 0.380 0.620 0.000
#> 70AA4670-C75B-4E39-8958-3F9C29811871 2 0.1289 0.8832 0.032 0.968 0.000
#> D63C5178-4FF7-4FD0-B87E-6CBF6E7BEF5B 2 0.0237 0.8978 0.004 0.996 0.000
#> 814391F8-C5B9-43F6-A330-A6749BB8F16E 2 0.4504 0.7679 0.196 0.804 0.000
#> 146ED7EA-BF3C-4BAB-B33C-0A668AB13C80 2 0.6045 0.5202 0.380 0.620 0.000
#> FD5CAFE8-E669-406A-A505-A47DCDC32E93 2 0.4504 0.7679 0.196 0.804 0.000
#> 4B3C7910-A652-45B5-8218-9002EB0FD9EB 2 0.0000 0.8982 0.000 1.000 0.000
#> E410F77D-E31F-4D73-ACAC-9245935A92F5 2 0.4974 0.6738 0.236 0.764 0.000
#> 64336403-9037-480C-873A-67BC77119FA5 2 0.0237 0.8978 0.004 0.996 0.000
#> 6F9D5013-3B1B-41EE-85DB-E51F5D828DEF 2 0.4062 0.8061 0.164 0.836 0.000
#> 155AEBBD-1C12-4F88-90C7-1C7FF7E3FB2C 2 0.4504 0.7679 0.196 0.804 0.000
#> D28DDCAA-682C-451F-8327-D2C2AFB044E2 2 0.0000 0.8982 0.000 1.000 0.000
#> 171523DC-2713-4EBF-A115-53A0BA174545 3 0.0000 0.9990 0.000 0.000 1.000
#> FD223304-87BA-4462-A5E5-01AB8C018C35 2 0.5560 0.6228 0.300 0.700 0.000
#> D8E06D8A-9063-4466-A3B0-7724F4737C7A 2 0.1529 0.8840 0.040 0.960 0.000
#> FFA5FFF7-6301-4CD8-8E63-A4D8294D1B0E 2 0.0000 0.8982 0.000 1.000 0.000
#> AF3648D6-C774-48CC-9428-ADC00402A562 3 0.0000 0.9990 0.000 0.000 1.000
#> BD406B65-B715-444E-95B4-F38D05BAC863 2 0.4931 0.7370 0.232 0.768 0.000
#> 6DB67CA1-0BEB-4585-9867-40E7C8A96D55 2 0.0237 0.8978 0.004 0.996 0.000
#> 49C9DE1D-784D-405A-9DD3-C4D2890D0309 1 0.4291 0.7718 0.820 0.180 0.000
#> 05EC4D30-D34E-4497-B4F4-80AEDC2E70DF 1 0.0892 0.8243 0.980 0.020 0.000
#> CB69E76B-7CD3-49EF-9ADF-75701FE1D0A8 2 0.6095 0.4976 0.392 0.608 0.000
#> 103C6E25-A69A-460E-81C0-7437547E1334 2 0.0000 0.8982 0.000 1.000 0.000
#> 2D986DB0-B5A8-42E8-ACB8-926A16FAABD6 2 0.0000 0.8982 0.000 1.000 0.000
#> 1B9A0F24-8A3F-4693-B09C-5F0EFE5A32A5 2 0.6026 0.3226 0.376 0.624 0.000
#> C064D1FE-753E-4493-907C-C5FFE19F9875 2 0.0237 0.8978 0.004 0.996 0.000
#> 71596860-AEFA-4B94-8ADE-AC33CEA24DD4 2 0.0424 0.8961 0.008 0.992 0.000
#> E9A3A454-AB4D-4683-B276-84DA43792DBB 2 0.6295 0.2919 0.472 0.528 0.000
#> C5717869-8413-4810-A042-32E949AD3B0A 2 0.6291 0.3089 0.468 0.532 0.000
#> F36B393E-859C-49F8-BDF4-ED2CEF4C6307 2 0.6045 0.5201 0.380 0.620 0.000
#> 4CC9D3F9-983F-4CB2-91F1-0FBB86D53DC3 2 0.0237 0.8978 0.004 0.996 0.000
#> D450F074-CA68-49CE-B0B3-F81A91D54867 2 0.0892 0.8903 0.020 0.980 0.000
#> 2BBD504E-FE90-4142-9204-0E33B6B56C7E 2 0.0000 0.8982 0.000 1.000 0.000
#> 1A457CBF-24DA-44F1-B9ED-F26B8D1245D4 2 0.4504 0.7679 0.196 0.804 0.000
#> F29B5A39-866E-4C9D-BC26-B726FEA5F576 1 0.4555 0.7449 0.800 0.200 0.000
#> 89A4972A-8C91-4272-96BE-BCA9BC447780 2 0.0000 0.8982 0.000 1.000 0.000
#> 70B014FD-A0D0-418C-B55F-D09BAE213D52 2 0.0000 0.8982 0.000 1.000 0.000
#> 8139F417-0548-40B4-851F-A4E149A2E06A 2 0.6305 -0.0638 0.484 0.516 0.000
#> 6E9F0021-FA91-4516-9B04-6A978034CECF 2 0.6062 0.5176 0.384 0.616 0.000
#> 49DAF1CD-8E20-433B-91A7-8C885ACB21A5 2 0.3941 0.7748 0.156 0.844 0.000
#> 093765A6-145C-47C3-B87B-4560CD632B4C 2 0.0592 0.8951 0.012 0.988 0.000
#> 90731001-45B2-4601-93F5-064BDD519A30 3 0.0000 0.9990 0.000 0.000 1.000
#> 40BCB65D-BC26-4FEF-941F-6F4A42D475EB 2 0.0000 0.8982 0.000 1.000 0.000
#> 204317C4-B927-4CAC-AADF-E16D19410ADB 2 0.0000 0.8982 0.000 1.000 0.000
#> 1023707A-D6DE-432A-AD2D-2318C3F91FA2 2 0.0000 0.8982 0.000 1.000 0.000
#> 06F79E8E-50E3-485A-82E9-C7CD4C72333B 2 0.0237 0.8978 0.004 0.996 0.000
#> BFAF5464-D239-4A03-AC34-984DEBA84451 2 0.1860 0.8693 0.052 0.948 0.000
#> 96C7C73E-F3E1-4937-A267-B7DAAD8EDE37 2 0.4504 0.7679 0.196 0.804 0.000
#> 1D94B33B-9A3F-40BA-90AF-5248ED058C6F 2 0.0000 0.8982 0.000 1.000 0.000
#> 3407B68D-0277-465B-8819-10FAE3EE6572 3 0.1411 0.9592 0.036 0.000 0.964
#> 868CD0D0-1CB4-4F61-B4ED-EB0C93DD950F 2 0.1529 0.8852 0.040 0.960 0.000
#> 823383C2-6F4D-4C0C-8640-3981A7ED1226 1 0.4504 0.7480 0.804 0.196 0.000
#> 95B76301-6382-4F6E-9E09-60EEFEEA03D5 2 0.0237 0.8978 0.004 0.996 0.000
#> 50A46A4F-883E-4DAA-BD16-FCCC5FA3FCD9 2 0.0000 0.8982 0.000 1.000 0.000
#> 5037DC80-5E81-4281-89A0-E0B58071B1D9 1 0.4452 0.7522 0.808 0.192 0.000
#> 6A228156-7365-4A4D-8E66-AA687BF37A24 1 0.4504 0.7480 0.804 0.196 0.000
#> 868C82CD-CB45-4EC9-96A8-77F0F4E0D874 2 0.0747 0.8938 0.016 0.984 0.000
#> 28F5861F-7081-4CE8-A917-941FCB6206FA 2 0.0237 0.8978 0.004 0.996 0.000
#> 1ED41271-3AA4-43F1-B43C-0D5C4F918FB8 2 0.2448 0.8604 0.076 0.924 0.000
#> 5A879DD8-EB7F-4EB6-9A9A-6D62438D8B95 2 0.0000 0.8982 0.000 1.000 0.000
#> 8B55B4E4-9222-4F69-AD4A-A92AC948F05E 2 0.0237 0.8978 0.004 0.996 0.000
#> 1DCE9448-495E-46D3-8953-D733BD68DFE6 2 0.3192 0.8375 0.112 0.888 0.000
#> C922BF2A-2A98-47CC-9127-1C1A2E38A6B6 1 0.4555 0.6590 0.800 0.000 0.200
#> 3C14A318-E9ED-4383-9F57-E227D478B450 1 0.4121 0.6920 0.832 0.168 0.000
#> 183B0920-7505-4B65-A940-97021F11DDC1 1 0.4504 0.7480 0.804 0.196 0.000
#> CF8B38D4-717B-4F8A-8DA4-8B721E6DFB1C 2 0.0237 0.8978 0.004 0.996 0.000
#> 0C7BEFDE-507E-43B2-938D-5695FE462875 1 0.3551 0.7321 0.868 0.132 0.000
#> 940D45CC-1300-4E92-A79A-6EDC8118E9E2 1 0.0000 0.8219 1.000 0.000 0.000
#> 772D02BF-D8A6-4C99-8C82-5902DEB3A067 2 0.1289 0.8832 0.032 0.968 0.000
#> F5D71464-EFD6-4922-9BC9-2620A90DA6F4 2 0.0000 0.8982 0.000 1.000 0.000
#> 7C8BDCBF-68D3-4E03-B2D3-31D12CE2784D 2 0.0000 0.8982 0.000 1.000 0.000
#> 9DF2F46F-A133-4892-B895-3102F7ACA5DB 3 0.0000 0.9990 0.000 0.000 1.000
#> 8A7A65FE-1A7E-42E5-8A5A-55E7733521DA 2 0.0000 0.8982 0.000 1.000 0.000
#> 40566B4F-12CE-4FB2-9A64-4C59EC0793F2 3 0.0000 0.9990 0.000 0.000 1.000
#> 8E29A6F7-77BC-44EF-AB26-10FCA1187FFF 2 0.4399 0.7366 0.188 0.812 0.000
#> A358DF66-5BAE-42C2-8516-224E7CC40ED5 2 0.0000 0.8982 0.000 1.000 0.000
#> EB60E3E6-67CA-42E2-8D30-DAFFD763880B 2 0.0237 0.8978 0.004 0.996 0.000
#> 904813F9-5366-47D5-812A-6C4C8E7703C2 2 0.0000 0.8982 0.000 1.000 0.000
#> F192059C-1945-4C20-8076-2B0D1EDFE659 3 0.0000 0.9990 0.000 0.000 1.000
#> 2C19B0A6-347F-4BD4-8ECE-6AFDA076F63D 3 0.0000 0.9990 0.000 0.000 1.000
#> 20632EF0-B3E3-4CCF-BD24-D7E75FC20C33 1 0.6079 0.2287 0.612 0.388 0.000
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#> 58D1339C-B607-496B-AE85-5ECCD43636AD 2 0.0237 0.8978 0.004 0.996 0.000
#> B247508D-7C3B-45BF-929D-FFE756EDEF24 2 0.0237 0.8975 0.004 0.996 0.000
#> 43456F55-F4A1-4D9F-8571-ED3542C69416 1 0.0000 0.8219 1.000 0.000 0.000
#> 099D25C9-DAB1-4968-A07A-EF0856000694 2 0.0000 0.8982 0.000 1.000 0.000
#> EAD49D17-A396-41C2-AD5F-3E65EA19306B 2 0.0000 0.8982 0.000 1.000 0.000
#> 7D1F6CE8-FA36-477A-9313-E3799C5886AD 2 0.0237 0.8978 0.004 0.996 0.000
#> C2C2EA55-75D8-48B0-8E39-73CC523CA691 2 0.0000 0.8982 0.000 1.000 0.000
#> 218F1728-2967-447E-9BDD-F78E21265395 2 0.0424 0.8967 0.008 0.992 0.000
#> 658AA411-6DEB-46C9-B4D7-7175F7EC1620 1 0.0000 0.8219 1.000 0.000 0.000
#> EE0CCBE4-DF69-40F7-91B1-B7E7AC061C5B 3 0.0000 0.9990 0.000 0.000 1.000
#> 4FA18EA8-F6EA-40EE-847E-2896BD858C04 2 0.0000 0.8982 0.000 1.000 0.000
#> 05A6B3A7-2A08-4700-BC85-9968AD07D2F6 2 0.0892 0.8914 0.020 0.980 0.000
#> 5F220E8D-9FF6-43E5-A27D-DA4FC75536E1 2 0.5254 0.7020 0.264 0.736 0.000
#> 3D3EA6CC-35F0-416E-9FC8-394D005A2B0B 3 0.0000 0.9990 0.000 0.000 1.000
#> B5B13A86-3B16-43AD-B329-2C5AD46A308F 2 0.5678 0.6404 0.316 0.684 0.000
#> 2EBC7BE8-627B-4767-A4FE-14E933E40C1C 2 0.0000 0.8982 0.000 1.000 0.000
#> E332A10A-4FB0-4122-BB48-3050E0F73502 2 0.1031 0.8896 0.024 0.976 0.000
#> 0FF95060-00C3-4B53-B46F-6242872C1465 2 0.0237 0.8978 0.004 0.996 0.000
#> 51875568-DA72-4A62-9A19-2A61860B83C3 2 0.4796 0.7498 0.220 0.780 0.000
#> C4DB90C8-EB0B-4071-BD4F-EEB37E8ADC26 2 0.0747 0.8938 0.016 0.984 0.000
#> 55F8E6BA-AF16-4514-8845-1FCACB758812 3 0.0000 0.9990 0.000 0.000 1.000
#> 7F9B2F13-F387-4A54-920A-62C23D9BFB77 2 0.0000 0.8982 0.000 1.000 0.000
#> 248E5BD8-0458-43A1-B5D1-BDA14558421F 1 0.0000 0.8219 1.000 0.000 0.000
#> B150AB08-9BE5-4DBB-AB30-80C09B319E6D 2 0.4504 0.7679 0.196 0.804 0.000
#> 4DC8E477-9AA6-41F7-A7BB-EEEFAFD33256 2 0.6274 0.3417 0.456 0.544 0.000
#> 327E0B69-E439-4161-BD58-2E22C5D3A76F 1 0.4605 0.7441 0.796 0.204 0.000
#> 50F9B130-6BE8-483C-828F-15445492B631 2 0.0747 0.8933 0.016 0.984 0.000
#> D57E89FF-CC54-4FE9-A99B-2E75D407AB91 2 0.5905 0.4957 0.352 0.648 0.000
#> 659F3E30-3F80-49AF-9713-824F8D42BA74 1 0.0592 0.8200 0.988 0.012 0.000
#> 29E8ADB9-3F5D-497A-9A6B-85218AE2DB14 2 0.0000 0.8982 0.000 1.000 0.000
#> 73B58A54-E759-44FE-8B84-70D60C78066D 1 0.6215 0.0707 0.572 0.428 0.000
#> 4001EE2D-F208-465E-B718-01CCB9BD1C17 2 0.0237 0.8978 0.004 0.996 0.000
#> AFE61E30-D425-40CC-BC57-C210A0D03EFE 1 0.0000 0.8219 1.000 0.000 0.000
#> C06D79D5-4D8A-47D3-97CE-0E9BA204347C 2 0.4504 0.7679 0.196 0.804 0.000
#> 3975BE32-7E20-4EFC-9122-FE468544C5D9 2 0.4555 0.7672 0.200 0.800 0.000
#> 0FDC5030-92FC-44B5-AE62-6EC3EA9290BB 3 0.0000 0.9990 0.000 0.000 1.000
#> 8E3F8687-B00B-4FA9-84F2-F731B169FC45 2 0.0424 0.8967 0.008 0.992 0.000
#> 45CEDF59-BC7A-4D86-8C2D-9A91AC141D30 1 0.0000 0.8219 1.000 0.000 0.000
#> 4043BFE7-72A7-4A95-8CB2-53FDD574B7EA 2 0.5948 0.5570 0.360 0.640 0.000
#> 64D465E7-0DB8-46A1-8BF2-BBF59D23B7EB 2 0.0237 0.8978 0.004 0.996 0.000
#> 9824DFB4-0A1A-4BA4-B2DC-5348DA3D3AE6 2 0.0237 0.8978 0.004 0.996 0.000
#> 50ECFB2A-FF9D-4A8A-91CB-3902D3B670A0 2 0.0592 0.8951 0.012 0.988 0.000
#> 755D805B-B9F4-41D3-ACA7-2BB599C3D529 2 0.0000 0.8982 0.000 1.000 0.000
#> 0BA34100-8588-47B5-A962-4BD1916645B6 1 0.0000 0.8219 1.000 0.000 0.000
#> 9CE2E8D4-1AD1-4546-AD5D-D58193F79096 1 0.0237 0.8205 0.996 0.004 0.000
#> 92D7DB12-B0E0-4072-98FB-34B112E7728D 2 0.4555 0.7003 0.200 0.800 0.000
#> 79FD2101-0A9A-4EA7-A773-5EA8693138D0 2 0.0000 0.8982 0.000 1.000 0.000
#> A3A8937A-0B0B-4A68-AE68-81DA9CF7F4FB 1 0.0237 0.8205 0.996 0.004 0.000
#> 3EB3C0F8-4CBC-41A7-81E4-4D8A565441A7 2 0.4931 0.7368 0.232 0.768 0.000
#> 77EE3B54-FD7A-4ACF-879C-31667ADCCC5B 2 0.0237 0.8978 0.004 0.996 0.000
#> 327B2123-6DD8-4263-87DE-EE917E911DD4 2 0.4842 0.7447 0.224 0.776 0.000
#> 198A6AD0-79CD-40F5-A622-18AFBE78F2D2 1 0.0000 0.8219 1.000 0.000 0.000
#> EEE29DE1-F88C-4184-B499-5E86E2D252C4 1 0.0000 0.8219 1.000 0.000 0.000
#> 1E95EA22-BC41-4AAE-AFCC-F9281989A785 1 0.0000 0.8219 1.000 0.000 0.000
#> CD3AC0E4-88A9-4084-A2BE-AEE722CF6AA3 1 0.4555 0.7471 0.800 0.200 0.000
#> 8D7FABA2-764D-4795-BB04-D9E69E9792B9 1 0.3755 0.8031 0.872 0.120 0.008
#> DAC07889-EE06-46E0-B1F1-833ECC0A48A9 2 0.0000 0.8982 0.000 1.000 0.000
#> E7B555A3-567B-4A44-8225-D269E73FB50B 2 0.1860 0.8693 0.052 0.948 0.000
#> 3CC95101-C35F-4761-9D41-3C35BD55B37E 2 0.0000 0.8982 0.000 1.000 0.000
#> F62E5A69-5E81-4B2A-8CC0-F4D6E188B187 1 0.1289 0.8241 0.968 0.032 0.000
#> C650633B-A369-4657-8693-FDFBF22BD34E 2 0.0000 0.8982 0.000 1.000 0.000
#> 5E514217-F0DB-49FD-9C5D-EB22628ED297 2 0.0000 0.8982 0.000 1.000 0.000
#> 6E1DB9BF-06FE-48B1-A2D8-EF2CE7591364 2 0.0237 0.8978 0.004 0.996 0.000
#> C9581CE3-58B6-45B4-B4B7-15F555FD84A4 1 0.0592 0.8201 0.988 0.012 0.000
#> F56C26ED-9358-485B-8867-EBA1CAA4E2A7 2 0.0592 0.8951 0.012 0.988 0.000
#> 45CA3F9E-40EE-43A4-AE57-FE51D4003844 2 0.0237 0.8978 0.004 0.996 0.000
#> 47EFA063-19C1-4E1F-ACE8-68D9BAD0B995 1 0.2625 0.8167 0.916 0.084 0.000
#> 8C30EA0F-0DA1-43C7-81AE-DE825A53F114 2 0.4291 0.7929 0.180 0.820 0.000
#> 2CE7477C-DD09-4B3A-AD65-C696BE8C9B11 1 0.5355 0.6963 0.800 0.032 0.168
#> 4DECB19A-290F-4CEB-BE25-AAF9B9E2B58F 1 0.3619 0.7986 0.864 0.136 0.000
#> 3DEA9B14-DF42-43A0-AC4A-32AE7A16218D 2 0.0000 0.8982 0.000 1.000 0.000
#> 9F57D45B-C62F-44C5-AB9D-0CB54BBA16F5 2 0.0000 0.8982 0.000 1.000 0.000
#> 54ACCFD9-A8D6-4E4C-9097-1A0BE258AA1B 1 0.2066 0.8218 0.940 0.060 0.000
#> 9EE67DE9-9B56-4773-8F6A-1036D31F568E 2 0.4504 0.7679 0.196 0.804 0.000
#> 1B1C9301-D6D6-4F6B-80A3-3603013AA951 2 0.0000 0.8982 0.000 1.000 0.000
#> DDDCDF00-FB0A-477B-891B-2EE5E0C8F61E 3 0.0000 0.9990 0.000 0.000 1.000
#> 34A3260D-AC4D-416F-ADF0-24013048BC46 2 0.4931 0.6853 0.232 0.768 0.000
#> 671C1840-9C1B-4AC1-9564-78802489F763 1 0.3038 0.8116 0.896 0.104 0.000
#> BA4F7841-9FC3-4CE6-ACA5-43FC36641640 2 0.0424 0.8967 0.008 0.992 0.000
#> 24A02CE5-28E7-457E-8B90-4EACA528B072 1 0.4002 0.7815 0.840 0.160 0.000
#> C7008665-F6DE-48B4-A0E7-6C388B72C609 2 0.0237 0.8978 0.004 0.996 0.000
#> 50F984AB-95C1-4D7B-A787-418CBB59D165 2 0.6095 0.5027 0.392 0.608 0.000
#> 5FFD2A6A-ED8A-44A9-9FC1-3106341C284A 2 0.0000 0.8982 0.000 1.000 0.000
#> 7481630E-5CBA-4A4A-A16F-E327BCEE11D3 1 0.3941 0.7846 0.844 0.156 0.000
#> 7B3E6643-C148-4266-A3A3-80BAB713DD3E 2 0.0237 0.8978 0.004 0.996 0.000
#> BA8564FA-8D4D-4B2F-A178-63209F887A05 2 0.3551 0.7990 0.132 0.868 0.000
#> 2FB578F6-E8B7-434D-9720-D448A26C1EFD 1 0.3619 0.7986 0.864 0.136 0.000
#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 2 0.2448 0.8497 0.076 0.924 0.000
#> 740FCE46-8A4A-4A6A-B79F-78A63D28E313 2 0.0000 0.8982 0.000 1.000 0.000
#> 523A5832-0C42-44A4-A58F-7011C3A567DC 3 0.0000 0.9990 0.000 0.000 1.000
#> A2C68C81-7371-4E0C-BFD1-EA868A7C9499 2 0.0237 0.8978 0.004 0.996 0.000
#> 2EB7025A-D932-4238-BD60-609B25150029 2 0.0747 0.8930 0.016 0.984 0.000
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 2 0.0000 0.8982 0.000 1.000 0.000
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 2 0.2878 0.8513 0.096 0.904 0.000
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 2 0.0000 0.8982 0.000 1.000 0.000
#> F081EA01-ED14-491B-9620-BF8F10A7431D 2 0.0000 0.8982 0.000 1.000 0.000
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 2 0.0237 0.8978 0.004 0.996 0.000
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 2 0.4504 0.7679 0.196 0.804 0.000
#> B54639CE-F721-4908-B758-309F148AD3C2 2 0.0000 0.8982 0.000 1.000 0.000
#> EB4294E1-3FBC-495C-A041-829A654B59C5 3 0.0000 0.9990 0.000 0.000 1.000
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 1 0.3619 0.7986 0.864 0.136 0.000
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.0000 0.8982 0.000 1.000 0.000
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 1 0.4504 0.7480 0.804 0.196 0.000
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.0237 0.8978 0.004 0.996 0.000
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 1 0.4504 0.7480 0.804 0.196 0.000
#> D34036E4-1122-42AE-B20F-F4C8515872A0 2 0.0237 0.8978 0.004 0.996 0.000
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 2 0.0000 0.8982 0.000 1.000 0.000
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 1 0.0237 0.8218 0.996 0.004 0.000
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 3 0.0000 0.9990 0.000 0.000 1.000
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.0000 0.8982 0.000 1.000 0.000
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.0000 0.8982 0.000 1.000 0.000
#> F3C13430-405E-432E-8F3E-0DD18E86087E 2 0.1163 0.8906 0.028 0.972 0.000
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.0237 0.8978 0.004 0.996 0.000
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 1 0.0424 0.8237 0.992 0.008 0.000
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.0237 0.8978 0.004 0.996 0.000
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.0000 0.8982 0.000 1.000 0.000
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 2 0.5216 0.6476 0.260 0.740 0.000
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.0237 0.8978 0.004 0.996 0.000
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.4504 0.7480 0.804 0.196 0.000
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 2 0.6274 0.3526 0.456 0.544 0.000
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 1 0.1964 0.8223 0.944 0.056 0.000
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.0000 0.8982 0.000 1.000 0.000
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.0000 0.9990 0.000 0.000 1.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.0000 0.9990 0.000 0.000 1.000
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 2 0.0000 0.8982 0.000 1.000 0.000
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 2 0.4235 0.7504 0.176 0.824 0.000
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.0237 0.8978 0.004 0.996 0.000
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 2 0.6026 0.5316 0.376 0.624 0.000
#> 343F031B-0095-429D-8212-AD0581DBB05B 2 0.6062 0.5124 0.384 0.616 0.000
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 2 0.0000 0.8982 0.000 1.000 0.000
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.0000 0.8219 1.000 0.000 0.000
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 2 0.1643 0.8794 0.044 0.956 0.000
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 2 0.0000 0.8982 0.000 1.000 0.000
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 2 0.3816 0.7815 0.148 0.852 0.000
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.4235 0.7524 0.176 0.824 0.000
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.0000 0.8982 0.000 1.000 0.000
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.2066 0.8723 0.060 0.940 0.000
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.0000 0.9990 0.000 0.000 1.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.0000 0.8219 1.000 0.000 0.000
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.0000 0.9990 0.000 0.000 1.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 2 0.5254 0.7020 0.264 0.736 0.000
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.0000 0.9990 0.000 0.000 1.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.0237 0.8978 0.004 0.996 0.000
#> FC7821F4-6495-4545-A22A-764BB99B3F79 2 0.0592 0.8951 0.012 0.988 0.000
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.0000 0.8982 0.000 1.000 0.000
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.0237 0.8978 0.004 0.996 0.000
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.0000 0.8982 0.000 1.000 0.000
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.0000 0.8982 0.000 1.000 0.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 2 0.4452 0.7321 0.192 0.808 0.000
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 2 0.4555 0.7649 0.200 0.800 0.000
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.0000 0.8982 0.000 1.000 0.000
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0000 0.9990 0.000 0.000 1.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 2 0.4702 0.7190 0.212 0.788 0.000
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.4399 0.7783 0.188 0.812 0.000
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 2 0.6204 0.4278 0.424 0.576 0.000
#> BEE081CA-8420-4314-88A0-286BB30FFD65 2 0.5785 0.6124 0.332 0.668 0.000
#> C464CD1D-4519-48E8-A18A-403F691E5702 1 0.4235 0.7677 0.824 0.176 0.000
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.4702 0.6433 0.788 0.000 0.212
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.1860 0.8693 0.052 0.948 0.000
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0237 0.8978 0.004 0.996 0.000
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.4504 0.7516 0.804 0.196 0.000
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.4291 0.7641 0.820 0.180 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.0707 0.9136 0.020 0.980 0.000 0.000
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 4 0.3306 0.7133 0.004 0.156 0.000 0.840
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 2 0.1211 0.9152 0.000 0.960 0.000 0.040
#> 91202998-760F-4421-B1C4-18639962EDDA 4 0.1211 0.8451 0.040 0.000 0.000 0.960
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.0524 0.9132 0.008 0.988 0.000 0.004
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 2 0.1743 0.9107 0.004 0.940 0.000 0.056
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 4 0.1059 0.8512 0.012 0.016 0.000 0.972
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.2654 0.8607 0.004 0.888 0.000 0.108
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.1661 0.9114 0.004 0.944 0.000 0.052
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#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.0592 0.9120 0.984 0.016 0.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.0162 0.9033 0.000 0.996 0.000 0.000 0.004
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 4 0.4235 0.3485 0.000 0.000 0.000 0.576 0.424
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 5 0.3796 0.6437 0.000 0.300 0.000 0.000 0.700
#> 91202998-760F-4421-B1C4-18639962EDDA 4 0.0000 0.9012 0.000 0.000 0.000 1.000 0.000
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.1121 0.8840 0.000 0.956 0.000 0.000 0.044
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 5 0.0290 0.8654 0.000 0.008 0.000 0.000 0.992
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 4 0.0992 0.8925 0.000 0.008 0.000 0.968 0.024
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.5456 0.3572 0.000 0.592 0.000 0.080 0.328
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 5 0.1043 0.8622 0.000 0.040 0.000 0.000 0.960
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 5 0.1043 0.8617 0.000 0.040 0.000 0.000 0.960
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 4 0.2179 0.8113 0.000 0.112 0.000 0.888 0.000
#> 784B2359-6064-4FAA-9311-7A852F061FBB 5 0.0794 0.8571 0.000 0.000 0.000 0.028 0.972
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 5 0.3508 0.7094 0.000 0.252 0.000 0.000 0.748
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 1 0.3730 0.6018 0.712 0.000 0.000 0.000 0.288
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0000 0.9980 0.000 0.000 1.000 0.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.0162 0.9037 0.000 0.996 0.000 0.000 0.004
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.0000 0.9026 1.000 0.000 0.000 0.000 0.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 2 0.1124 0.8875 0.000 0.960 0.000 0.004 0.036
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 5 0.3109 0.7333 0.000 0.000 0.000 0.200 0.800
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.0162 0.9018 0.996 0.000 0.000 0.000 0.004
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.1965 0.8255 0.000 0.904 0.000 0.096 0.000
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.4161 0.3083 0.000 0.608 0.000 0.000 0.392
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 2 0.6279 0.3486 0.280 0.528 0.000 0.000 0.192
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 4 0.0000 0.9012 0.000 0.000 0.000 1.000 0.000
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.0290 0.9026 0.000 0.992 0.000 0.000 0.008
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 5 0.2561 0.8128 0.000 0.144 0.000 0.000 0.856
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.0000 0.9050 0.000 1.000 0.000 0.000 0.000
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.0000 0.9050 0.000 1.000 0.000 0.000 0.000
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.0000 0.9980 0.000 0.000 1.000 0.000 0.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 5 0.0162 0.8645 0.000 0.004 0.000 0.000 0.996
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 5 0.0671 0.8651 0.000 0.016 0.000 0.004 0.980
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 5 0.1831 0.8509 0.000 0.076 0.000 0.004 0.920
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 5 0.1671 0.8511 0.000 0.076 0.000 0.000 0.924
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.0000 0.9050 0.000 1.000 0.000 0.000 0.000
#> 2846A3AC-D102-4E37-9B72-139ED727157A 5 0.2929 0.7842 0.000 0.180 0.000 0.000 0.820
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.0162 0.9037 0.000 0.996 0.000 0.000 0.004
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 4 0.0162 0.9003 0.000 0.004 0.000 0.996 0.000
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.0000 0.9026 1.000 0.000 0.000 0.000 0.000
#> 150F5B77-4848-4D68-800A-0A0236C3661F 5 0.0162 0.8646 0.000 0.004 0.000 0.000 0.996
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.1892 0.8577 0.916 0.080 0.000 0.000 0.004
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 5 0.2966 0.7798 0.000 0.184 0.000 0.000 0.816
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.0000 0.9050 0.000 1.000 0.000 0.000 0.000
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 1 0.4182 0.3524 0.600 0.000 0.000 0.400 0.000
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 5 0.0162 0.8645 0.000 0.004 0.000 0.000 0.996
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.0162 0.9037 0.000 0.996 0.000 0.000 0.004
#> 1447B543-D3AC-41B5-878F-B382FE49421B 4 0.1018 0.8935 0.016 0.016 0.000 0.968 0.000
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 2 0.0324 0.9023 0.004 0.992 0.000 0.000 0.004
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 4 0.2249 0.8265 0.000 0.096 0.000 0.896 0.008
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.0000 0.9980 0.000 0.000 1.000 0.000 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 4 0.0794 0.8892 0.000 0.000 0.000 0.972 0.028
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 5 0.4484 0.6053 0.000 0.308 0.000 0.024 0.668
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.0000 0.9026 1.000 0.000 0.000 0.000 0.000
#> D9225689-21E0-478A-8F79-C26542938B8D 5 0.0162 0.8628 0.004 0.000 0.000 0.000 0.996
#> FC3BA46D-57F6-424C-8D62-16C441035969 5 0.0290 0.8654 0.000 0.008 0.000 0.000 0.992
#> 045CFFE6-4736-42F2-9340-C37690E47882 3 0.0000 0.9980 0.000 0.000 1.000 0.000 0.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 1 0.6846 0.2283 0.424 0.004 0.000 0.280 0.292
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 5 0.3999 0.5599 0.000 0.344 0.000 0.000 0.656
#> E94B217F-C5DC-4F42-8135-E81F338914B5 5 0.0162 0.8640 0.000 0.004 0.000 0.000 0.996
#> AE4C3956-76DF-4059-8D69-3D764F31817F 5 0.3730 0.6586 0.000 0.288 0.000 0.000 0.712
#> 33D6A38E-CD99-437B-99E0-04E72582F777 4 0.4088 0.7169 0.000 0.056 0.000 0.776 0.168
#> 8379051C-5847-42B5-AC5C-A128C166AB97 4 0.0162 0.9003 0.000 0.000 0.000 0.996 0.004
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 4 0.0703 0.8918 0.000 0.000 0.000 0.976 0.024
#> 40A16429-229E-4F40-BFC7-263554438F99 5 0.3837 0.6320 0.000 0.308 0.000 0.000 0.692
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 5 0.0290 0.8654 0.000 0.008 0.000 0.000 0.992
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 5 0.0290 0.8654 0.000 0.008 0.000 0.000 0.992
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 4 0.4223 0.6352 0.248 0.000 0.000 0.724 0.028
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 2 0.4166 0.4367 0.000 0.648 0.000 0.348 0.004
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.0000 0.9050 0.000 1.000 0.000 0.000 0.000
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 4 0.2482 0.8310 0.000 0.084 0.000 0.892 0.024
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 2 0.3246 0.7227 0.000 0.808 0.000 0.184 0.008
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 2 0.0963 0.8886 0.000 0.964 0.000 0.000 0.036
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.0000 0.9050 0.000 1.000 0.000 0.000 0.000
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 5 0.1908 0.8410 0.000 0.092 0.000 0.000 0.908
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 4 0.0000 0.9012 0.000 0.000 0.000 1.000 0.000
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 2 0.0162 0.9037 0.000 0.996 0.000 0.000 0.004
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 5 0.0290 0.8654 0.000 0.008 0.000 0.000 0.992
#> FDB47AC4-CE6A-428B-9B55-EBCEF1970ACB 5 0.0000 0.8629 0.000 0.000 0.000 0.000 1.000
#> 133B7E7B-FD50-48A2-9A35-E6D44FAB976B 5 0.2732 0.7989 0.000 0.160 0.000 0.000 0.840
#> E69E45DA-66A6-438A-9BFC-5F1F7F5C5A87 4 0.2230 0.8178 0.000 0.000 0.000 0.884 0.116
#> 6E242DF5-8B8B-4C6F-870E-C7ADFFAFDF3E 5 0.4227 0.3989 0.000 0.420 0.000 0.000 0.580
#> CB7BBFF1-4BF3-42A9-85C6-680D91503799 4 0.0000 0.9012 0.000 0.000 0.000 1.000 0.000
#> 70AA4670-C75B-4E39-8958-3F9C29811871 5 0.0290 0.8654 0.000 0.008 0.000 0.000 0.992
#> D63C5178-4FF7-4FD0-B87E-6CBF6E7BEF5B 2 0.0000 0.9050 0.000 1.000 0.000 0.000 0.000
#> 814391F8-C5B9-43F6-A330-A6749BB8F16E 5 0.2732 0.7481 0.000 0.000 0.000 0.160 0.840
#> 146ED7EA-BF3C-4BAB-B33C-0A668AB13C80 4 0.0000 0.9012 0.000 0.000 0.000 1.000 0.000
#> FD5CAFE8-E669-406A-A505-A47DCDC32E93 5 0.4060 0.4927 0.000 0.000 0.000 0.360 0.640
#> 4B3C7910-A652-45B5-8218-9002EB0FD9EB 5 0.0290 0.8654 0.000 0.008 0.000 0.000 0.992
#> E410F77D-E31F-4D73-ACAC-9245935A92F5 5 0.0324 0.8644 0.004 0.004 0.000 0.000 0.992
#> 64336403-9037-480C-873A-67BC77119FA5 2 0.0000 0.9050 0.000 1.000 0.000 0.000 0.000
#> 6F9D5013-3B1B-41EE-85DB-E51F5D828DEF 5 0.0162 0.8640 0.000 0.004 0.000 0.000 0.996
#> 155AEBBD-1C12-4F88-90C7-1C7FF7E3FB2C 5 0.1851 0.8292 0.000 0.000 0.000 0.088 0.912
#> D28DDCAA-682C-451F-8327-D2C2AFB044E2 5 0.2813 0.7923 0.000 0.168 0.000 0.000 0.832
#> 171523DC-2713-4EBF-A115-53A0BA174545 3 0.0000 0.9980 0.000 0.000 1.000 0.000 0.000
#> FD223304-87BA-4462-A5E5-01AB8C018C35 4 0.3814 0.6461 0.000 0.004 0.000 0.720 0.276
#> D8E06D8A-9063-4466-A3B0-7724F4737C7A 5 0.0162 0.8640 0.000 0.004 0.000 0.000 0.996
#> FFA5FFF7-6301-4CD8-8E63-A4D8294D1B0E 5 0.0290 0.8654 0.000 0.008 0.000 0.000 0.992
#> AF3648D6-C774-48CC-9428-ADC00402A562 3 0.0000 0.9980 0.000 0.000 1.000 0.000 0.000
#> BD406B65-B715-444E-95B4-F38D05BAC863 4 0.0671 0.8968 0.000 0.004 0.000 0.980 0.016
#> 6DB67CA1-0BEB-4585-9867-40E7C8A96D55 2 0.1121 0.8849 0.000 0.956 0.000 0.000 0.044
#> 49C9DE1D-784D-405A-9DD3-C4D2890D0309 1 0.3003 0.7290 0.812 0.188 0.000 0.000 0.000
#> 05EC4D30-D34E-4497-B4F4-80AEDC2E70DF 1 0.0000 0.9026 1.000 0.000 0.000 0.000 0.000
#> CB69E76B-7CD3-49EF-9ADF-75701FE1D0A8 4 0.0000 0.9012 0.000 0.000 0.000 1.000 0.000
#> 103C6E25-A69A-460E-81C0-7437547E1334 5 0.1732 0.8494 0.000 0.080 0.000 0.000 0.920
#> 2D986DB0-B5A8-42E8-ACB8-926A16FAABD6 5 0.3966 0.5845 0.000 0.336 0.000 0.000 0.664
#> 1B9A0F24-8A3F-4693-B09C-5F0EFE5A32A5 2 0.3109 0.7121 0.200 0.800 0.000 0.000 0.000
#> C064D1FE-753E-4493-907C-C5FFE19F9875 2 0.0000 0.9050 0.000 1.000 0.000 0.000 0.000
#> 71596860-AEFA-4B94-8ADE-AC33CEA24DD4 5 0.3913 0.4909 0.000 0.324 0.000 0.000 0.676
#> E9A3A454-AB4D-4683-B276-84DA43792DBB 4 0.0000 0.9012 0.000 0.000 0.000 1.000 0.000
#> C5717869-8413-4810-A042-32E949AD3B0A 4 0.0290 0.8993 0.000 0.000 0.000 0.992 0.008
#> F36B393E-859C-49F8-BDF4-ED2CEF4C6307 4 0.0955 0.8912 0.000 0.004 0.000 0.968 0.028
#> 4CC9D3F9-983F-4CB2-91F1-0FBB86D53DC3 2 0.0162 0.9037 0.000 0.996 0.000 0.000 0.004
#> D450F074-CA68-49CE-B0B3-F81A91D54867 5 0.1965 0.8171 0.000 0.096 0.000 0.000 0.904
#> 2BBD504E-FE90-4142-9204-0E33B6B56C7E 5 0.0290 0.8654 0.000 0.008 0.000 0.000 0.992
#> 1A457CBF-24DA-44F1-B9ED-F26B8D1245D4 4 0.3707 0.5867 0.000 0.284 0.000 0.716 0.000
#> F29B5A39-866E-4C9D-BC26-B726FEA5F576 1 0.5240 0.6154 0.676 0.092 0.000 0.228 0.004
#> 89A4972A-8C91-4272-96BE-BCA9BC447780 5 0.0290 0.8654 0.000 0.008 0.000 0.000 0.992
#> 70B014FD-A0D0-418C-B55F-D09BAE213D52 2 0.1732 0.8507 0.000 0.920 0.000 0.000 0.080
#> 8139F417-0548-40B4-851F-A4E149A2E06A 1 0.7385 0.0909 0.364 0.272 0.000 0.336 0.028
#> 6E9F0021-FA91-4516-9B04-6A978034CECF 4 0.0963 0.8839 0.000 0.036 0.000 0.964 0.000
#> 49DAF1CD-8E20-433B-91A7-8C885ACB21A5 5 0.4182 0.4558 0.000 0.400 0.000 0.000 0.600
#> 093765A6-145C-47C3-B87B-4560CD632B4C 2 0.0404 0.8999 0.012 0.988 0.000 0.000 0.000
#> 90731001-45B2-4601-93F5-064BDD519A30 3 0.0000 0.9980 0.000 0.000 1.000 0.000 0.000
#> 40BCB65D-BC26-4FEF-941F-6F4A42D475EB 2 0.4302 -0.0881 0.000 0.520 0.000 0.000 0.480
#> 204317C4-B927-4CAC-AADF-E16D19410ADB 2 0.0510 0.8996 0.000 0.984 0.000 0.000 0.016
#> 1023707A-D6DE-432A-AD2D-2318C3F91FA2 5 0.3586 0.6949 0.000 0.264 0.000 0.000 0.736
#> 06F79E8E-50E3-485A-82E9-C7CD4C72333B 2 0.0000 0.9050 0.000 1.000 0.000 0.000 0.000
#> BFAF5464-D239-4A03-AC34-984DEBA84451 5 0.0162 0.8628 0.004 0.000 0.000 0.000 0.996
#> 96C7C73E-F3E1-4937-A267-B7DAAD8EDE37 4 0.4171 0.2871 0.000 0.000 0.000 0.604 0.396
#> 1D94B33B-9A3F-40BA-90AF-5248ED058C6F 2 0.2605 0.7864 0.000 0.852 0.000 0.000 0.148
#> 3407B68D-0277-465B-8819-10FAE3EE6572 3 0.1341 0.9352 0.056 0.000 0.944 0.000 0.000
#> 868CD0D0-1CB4-4F61-B4ED-EB0C93DD950F 5 0.0324 0.8644 0.000 0.004 0.000 0.004 0.992
#> 823383C2-6F4D-4C0C-8640-3981A7ED1226 1 0.1892 0.8577 0.916 0.080 0.000 0.000 0.004
#> 95B76301-6382-4F6E-9E09-60EEFEEA03D5 5 0.1270 0.8582 0.000 0.052 0.000 0.000 0.948
#> 50A46A4F-883E-4DAA-BD16-FCCC5FA3FCD9 5 0.0290 0.8654 0.000 0.008 0.000 0.000 0.992
#> 5037DC80-5E81-4281-89A0-E0B58071B1D9 1 0.1892 0.8577 0.916 0.080 0.000 0.000 0.004
#> 6A228156-7365-4A4D-8E66-AA687BF37A24 1 0.0000 0.9026 1.000 0.000 0.000 0.000 0.000
#> 868C82CD-CB45-4EC9-96A8-77F0F4E0D874 2 0.4747 -0.1127 0.016 0.500 0.000 0.000 0.484
#> 28F5861F-7081-4CE8-A917-941FCB6206FA 5 0.3612 0.6800 0.000 0.268 0.000 0.000 0.732
#> 1ED41271-3AA4-43F1-B43C-0D5C4F918FB8 5 0.1399 0.8579 0.000 0.020 0.000 0.028 0.952
#> 5A879DD8-EB7F-4EB6-9A9A-6D62438D8B95 5 0.4256 0.3514 0.000 0.436 0.000 0.000 0.564
#> 8B55B4E4-9222-4F69-AD4A-A92AC948F05E 2 0.0000 0.9050 0.000 1.000 0.000 0.000 0.000
#> 1DCE9448-495E-46D3-8953-D733BD68DFE6 5 0.0404 0.8615 0.000 0.000 0.000 0.012 0.988
#> C922BF2A-2A98-47CC-9127-1C1A2E38A6B6 1 0.0000 0.9026 1.000 0.000 0.000 0.000 0.000
#> 3C14A318-E9ED-4383-9F57-E227D478B450 4 0.0000 0.9012 0.000 0.000 0.000 1.000 0.000
#> 183B0920-7505-4B65-A940-97021F11DDC1 1 0.1892 0.8577 0.916 0.080 0.000 0.000 0.004
#> CF8B38D4-717B-4F8A-8DA4-8B721E6DFB1C 2 0.0000 0.9050 0.000 1.000 0.000 0.000 0.000
#> 0C7BEFDE-507E-43B2-938D-5695FE462875 4 0.2890 0.7873 0.160 0.000 0.000 0.836 0.004
#> 940D45CC-1300-4E92-A79A-6EDC8118E9E2 4 0.0963 0.8875 0.036 0.000 0.000 0.964 0.000
#> 772D02BF-D8A6-4C99-8C82-5902DEB3A067 5 0.0290 0.8654 0.000 0.008 0.000 0.000 0.992
#> F5D71464-EFD6-4922-9BC9-2620A90DA6F4 5 0.3612 0.6897 0.000 0.268 0.000 0.000 0.732
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#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.0000 0.9980 0.000 0.000 1.000 0.000 0.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.0000 0.9980 0.000 0.000 1.000 0.000 0.000
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 2 0.2280 0.8085 0.000 0.880 0.000 0.000 0.120
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 5 0.2891 0.7870 0.000 0.176 0.000 0.000 0.824
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.0000 0.9050 0.000 1.000 0.000 0.000 0.000
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 4 0.0000 0.9012 0.000 0.000 0.000 1.000 0.000
#> 343F031B-0095-429D-8212-AD0581DBB05B 4 0.0000 0.9012 0.000 0.000 0.000 1.000 0.000
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 5 0.0404 0.8655 0.000 0.012 0.000 0.000 0.988
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.0880 0.8924 0.968 0.000 0.000 0.032 0.000
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 5 0.4421 0.7442 0.000 0.184 0.000 0.068 0.748
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 5 0.3999 0.5769 0.000 0.344 0.000 0.000 0.656
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 2 0.0000 0.9050 0.000 1.000 0.000 0.000 0.000
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.0000 0.9050 0.000 1.000 0.000 0.000 0.000
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 5 0.0290 0.8654 0.000 0.008 0.000 0.000 0.992
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.5492 0.0145 0.000 0.504 0.000 0.064 0.432
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.0000 0.9980 0.000 0.000 1.000 0.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.0000 0.9026 1.000 0.000 0.000 0.000 0.000
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.0000 0.9980 0.000 0.000 1.000 0.000 0.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 4 0.0000 0.9012 0.000 0.000 0.000 1.000 0.000
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.0000 0.9980 0.000 0.000 1.000 0.000 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.0000 0.9050 0.000 1.000 0.000 0.000 0.000
#> FC7821F4-6495-4545-A22A-764BB99B3F79 2 0.0771 0.8938 0.020 0.976 0.000 0.000 0.004
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.2377 0.7994 0.000 0.872 0.000 0.000 0.128
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 5 0.3143 0.7584 0.000 0.204 0.000 0.000 0.796
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 5 0.2929 0.7844 0.000 0.180 0.000 0.000 0.820
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.0000 0.9050 0.000 1.000 0.000 0.000 0.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 2 0.0671 0.8951 0.016 0.980 0.000 0.000 0.004
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 4 0.0162 0.9003 0.000 0.004 0.000 0.996 0.000
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 5 0.4227 0.3879 0.000 0.420 0.000 0.000 0.580
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0000 0.9980 0.000 0.000 1.000 0.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 5 0.0162 0.8645 0.000 0.004 0.000 0.000 0.996
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.4304 0.0399 0.000 0.516 0.000 0.484 0.000
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 4 0.3749 0.7781 0.104 0.000 0.000 0.816 0.080
#> BEE081CA-8420-4314-88A0-286BB30FFD65 5 0.4235 0.1336 0.000 0.000 0.000 0.424 0.576
#> C464CD1D-4519-48E8-A18A-403F691E5702 1 0.1792 0.8610 0.916 0.000 0.000 0.000 0.084
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.0000 0.9026 1.000 0.000 0.000 0.000 0.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 5 0.0162 0.8628 0.004 0.000 0.000 0.000 0.996
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0000 0.9050 0.000 1.000 0.000 0.000 0.000
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.1792 0.8610 0.916 0.000 0.000 0.000 0.084
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.1892 0.8577 0.916 0.080 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
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.2234 0.7359 0.000 0.872 0.000 0.000 0.004 0.124
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 4 0.3828 0.2833 0.000 0.000 0.000 0.560 0.440 0.000
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 5 0.5509 0.3129 0.000 0.300 0.000 0.000 0.540 0.160
#> 91202998-760F-4421-B1C4-18639962EDDA 4 0.0632 0.8391 0.000 0.000 0.000 0.976 0.000 0.024
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.2724 0.7748 0.000 0.864 0.000 0.000 0.052 0.084
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 5 0.0146 0.7197 0.000 0.004 0.000 0.000 0.996 0.000
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 4 0.2994 0.7478 0.000 0.004 0.000 0.788 0.000 0.208
#> 54337CE9-6F12-4712-8131-4B83F3216343 6 0.6647 0.4341 0.000 0.344 0.000 0.060 0.160 0.436
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 5 0.1196 0.7132 0.000 0.040 0.000 0.000 0.952 0.008
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 5 0.1082 0.7144 0.000 0.040 0.000 0.000 0.956 0.004
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 4 0.3052 0.7787 0.000 0.080 0.000 0.848 0.004 0.068
#> 784B2359-6064-4FAA-9311-7A852F061FBB 5 0.0692 0.7170 0.000 0.000 0.000 0.020 0.976 0.004
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 5 0.5089 0.4357 0.000 0.244 0.000 0.000 0.620 0.136
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 1 0.5519 0.5085 0.592 0.008 0.000 0.000 0.228 0.172
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0000 0.9596 0.000 0.000 1.000 0.000 0.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.1267 0.8017 0.000 0.940 0.000 0.000 0.000 0.060
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.0000 0.8969 1.000 0.000 0.000 0.000 0.000 0.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 2 0.2984 0.7244 0.000 0.848 0.000 0.004 0.044 0.104
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 6 0.4779 0.4852 0.000 0.000 0.000 0.060 0.368 0.572
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.1556 0.8843 0.920 0.000 0.000 0.000 0.000 0.080
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.1714 0.7547 0.000 0.908 0.000 0.092 0.000 0.000
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 6 0.5523 0.4924 0.000 0.268 0.000 0.000 0.180 0.552
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 2 0.7035 0.2137 0.164 0.480 0.000 0.000 0.156 0.200
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 4 0.0000 0.8388 0.000 0.000 0.000 1.000 0.000 0.000
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.0458 0.8120 0.000 0.984 0.000 0.000 0.016 0.000
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 5 0.5519 0.2070 0.000 0.144 0.000 0.000 0.512 0.344
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.0858 0.8114 0.000 0.968 0.000 0.000 0.004 0.028
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.2597 0.6848 0.000 0.824 0.000 0.000 0.000 0.176
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.2378 0.9250 0.000 0.000 0.848 0.000 0.000 0.152
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 5 0.2302 0.6715 0.000 0.008 0.000 0.000 0.872 0.120
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 6 0.4076 0.4137 0.000 0.004 0.000 0.004 0.428 0.564
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 5 0.1757 0.6981 0.000 0.076 0.000 0.008 0.916 0.000
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 5 0.4851 -0.1980 0.000 0.060 0.000 0.000 0.536 0.404
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.1075 0.8031 0.000 0.952 0.000 0.000 0.000 0.048
#> 2846A3AC-D102-4E37-9B72-139ED727157A 5 0.2664 0.5987 0.000 0.184 0.000 0.000 0.816 0.000
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.1387 0.7977 0.000 0.932 0.000 0.000 0.000 0.068
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 4 0.0777 0.8389 0.000 0.004 0.000 0.972 0.000 0.024
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.0363 0.8964 0.988 0.000 0.000 0.000 0.000 0.012
#> 150F5B77-4848-4D68-800A-0A0236C3661F 5 0.3999 -0.2579 0.000 0.004 0.000 0.000 0.500 0.496
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.2433 0.8608 0.884 0.044 0.000 0.000 0.000 0.072
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 5 0.3071 0.5949 0.000 0.180 0.000 0.000 0.804 0.016
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.1267 0.7967 0.000 0.940 0.000 0.000 0.000 0.060
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 1 0.3737 0.3820 0.608 0.000 0.000 0.392 0.000 0.000
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 5 0.0692 0.7197 0.000 0.004 0.000 0.000 0.976 0.020
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.1531 0.7988 0.000 0.928 0.000 0.000 0.004 0.068
#> 1447B543-D3AC-41B5-878F-B382FE49421B 4 0.2084 0.8282 0.044 0.024 0.000 0.916 0.000 0.016
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 2 0.1219 0.8066 0.004 0.948 0.000 0.000 0.000 0.048
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 4 0.2901 0.7406 0.000 0.128 0.000 0.840 0.032 0.000
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.0000 0.9596 0.000 0.000 1.000 0.000 0.000 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 4 0.3763 0.6779 0.000 0.000 0.000 0.768 0.060 0.172
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 6 0.5249 0.5701 0.000 0.096 0.000 0.016 0.268 0.620
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.0000 0.8969 1.000 0.000 0.000 0.000 0.000 0.000
#> D9225689-21E0-478A-8F79-C26542938B8D 5 0.0603 0.7181 0.004 0.000 0.000 0.000 0.980 0.016
#> FC3BA46D-57F6-424C-8D62-16C441035969 5 0.0260 0.7199 0.000 0.008 0.000 0.000 0.992 0.000
#> 045CFFE6-4736-42F2-9340-C37690E47882 3 0.0000 0.9596 0.000 0.000 1.000 0.000 0.000 0.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 5 0.7541 -0.0947 0.268 0.000 0.000 0.280 0.308 0.144
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 5 0.5682 0.2949 0.000 0.180 0.000 0.000 0.504 0.316
#> E94B217F-C5DC-4F42-8135-E81F338914B5 5 0.3592 0.2871 0.000 0.000 0.000 0.000 0.656 0.344
#> AE4C3956-76DF-4059-8D69-3D764F31817F 5 0.3351 0.4389 0.000 0.288 0.000 0.000 0.712 0.000
#> 33D6A38E-CD99-437B-99E0-04E72582F777 4 0.6296 -0.1834 0.000 0.052 0.000 0.420 0.112 0.416
#> 8379051C-5847-42B5-AC5C-A128C166AB97 4 0.1261 0.8348 0.000 0.000 0.000 0.952 0.024 0.024
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 4 0.1563 0.8235 0.000 0.000 0.000 0.932 0.056 0.012
#> 40A16429-229E-4F40-BFC7-263554438F99 5 0.4388 0.4146 0.000 0.276 0.000 0.000 0.668 0.056
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 5 0.0146 0.7197 0.000 0.004 0.000 0.000 0.996 0.000
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 5 0.0692 0.7202 0.000 0.004 0.000 0.000 0.976 0.020
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 4 0.4973 0.6547 0.220 0.004 0.000 0.684 0.028 0.064
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 6 0.6016 0.3439 0.000 0.320 0.000 0.220 0.004 0.456
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.0508 0.8151 0.000 0.984 0.000 0.000 0.004 0.012
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 4 0.4391 0.5833 0.000 0.028 0.000 0.644 0.008 0.320
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 6 0.4824 0.3100 0.000 0.356 0.000 0.048 0.008 0.588
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 2 0.1082 0.8057 0.000 0.956 0.000 0.000 0.040 0.004
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.0260 0.8123 0.000 0.992 0.000 0.000 0.000 0.008
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 5 0.2112 0.6892 0.000 0.088 0.000 0.000 0.896 0.016
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 4 0.1007 0.8356 0.000 0.000 0.000 0.956 0.000 0.044
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 2 0.1444 0.7962 0.000 0.928 0.000 0.000 0.000 0.072
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 5 0.0146 0.7197 0.000 0.004 0.000 0.000 0.996 0.000
#> FDB47AC4-CE6A-428B-9B55-EBCEF1970ACB 5 0.2527 0.5981 0.000 0.000 0.000 0.000 0.832 0.168
#> 133B7E7B-FD50-48A2-9A35-E6D44FAB976B 5 0.5013 0.4915 0.000 0.140 0.000 0.000 0.636 0.224
#> E69E45DA-66A6-438A-9BFC-5F1F7F5C5A87 4 0.2912 0.7668 0.000 0.000 0.000 0.844 0.116 0.040
#> 6E242DF5-8B8B-4C6F-870E-C7ADFFAFDF3E 6 0.5789 0.5642 0.000 0.216 0.000 0.000 0.288 0.496
#> CB7BBFF1-4BF3-42A9-85C6-680D91503799 4 0.0000 0.8388 0.000 0.000 0.000 1.000 0.000 0.000
#> 70AA4670-C75B-4E39-8958-3F9C29811871 5 0.0603 0.7189 0.000 0.004 0.000 0.000 0.980 0.016
#> D63C5178-4FF7-4FD0-B87E-6CBF6E7BEF5B 2 0.0458 0.8120 0.000 0.984 0.000 0.000 0.000 0.016
#> 814391F8-C5B9-43F6-A330-A6749BB8F16E 5 0.5361 0.1759 0.000 0.000 0.000 0.116 0.512 0.372
#> 146ED7EA-BF3C-4BAB-B33C-0A668AB13C80 4 0.0632 0.8391 0.000 0.000 0.000 0.976 0.000 0.024
#> FD5CAFE8-E669-406A-A505-A47DCDC32E93 5 0.4028 0.3836 0.000 0.000 0.000 0.308 0.668 0.024
#> 4B3C7910-A652-45B5-8218-9002EB0FD9EB 5 0.0603 0.7189 0.000 0.004 0.000 0.000 0.980 0.016
#> E410F77D-E31F-4D73-ACAC-9245935A92F5 5 0.3134 0.6244 0.004 0.004 0.000 0.000 0.784 0.208
#> 64336403-9037-480C-873A-67BC77119FA5 2 0.0713 0.8138 0.000 0.972 0.000 0.000 0.000 0.028
#> 6F9D5013-3B1B-41EE-85DB-E51F5D828DEF 5 0.0000 0.7184 0.000 0.000 0.000 0.000 1.000 0.000
#> 155AEBBD-1C12-4F88-90C7-1C7FF7E3FB2C 5 0.4460 -0.1373 0.000 0.000 0.000 0.028 0.520 0.452
#> D28DDCAA-682C-451F-8327-D2C2AFB044E2 5 0.2703 0.6125 0.000 0.172 0.000 0.000 0.824 0.004
#> 171523DC-2713-4EBF-A115-53A0BA174545 3 0.0000 0.9596 0.000 0.000 1.000 0.000 0.000 0.000
#> FD223304-87BA-4462-A5E5-01AB8C018C35 4 0.3788 0.5812 0.000 0.004 0.000 0.704 0.280 0.012
#> D8E06D8A-9063-4466-A3B0-7724F4737C7A 5 0.3672 0.2544 0.000 0.000 0.000 0.000 0.632 0.368
#> FFA5FFF7-6301-4CD8-8E63-A4D8294D1B0E 5 0.0603 0.7189 0.000 0.004 0.000 0.000 0.980 0.016
#> AF3648D6-C774-48CC-9428-ADC00402A562 3 0.0000 0.9596 0.000 0.000 1.000 0.000 0.000 0.000
#> BD406B65-B715-444E-95B4-F38D05BAC863 4 0.3110 0.7570 0.000 0.000 0.000 0.792 0.012 0.196
#> 6DB67CA1-0BEB-4585-9867-40E7C8A96D55 2 0.2250 0.7913 0.000 0.896 0.000 0.000 0.040 0.064
#> 49C9DE1D-784D-405A-9DD3-C4D2890D0309 1 0.3200 0.7088 0.788 0.196 0.000 0.000 0.000 0.016
#> 05EC4D30-D34E-4497-B4F4-80AEDC2E70DF 1 0.0363 0.8964 0.988 0.000 0.000 0.000 0.000 0.012
#> CB69E76B-7CD3-49EF-9ADF-75701FE1D0A8 4 0.0632 0.8391 0.000 0.000 0.000 0.976 0.000 0.024
#> 103C6E25-A69A-460E-81C0-7437547E1334 5 0.1610 0.6946 0.000 0.084 0.000 0.000 0.916 0.000
#> 2D986DB0-B5A8-42E8-ACB8-926A16FAABD6 5 0.5070 0.1790 0.000 0.328 0.000 0.000 0.576 0.096
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#> E7B555A3-567B-4A44-8225-D269E73FB50B 5 0.2362 0.6631 0.004 0.000 0.000 0.000 0.860 0.136
#> 3CC95101-C35F-4761-9D41-3C35BD55B37E 5 0.0713 0.7159 0.000 0.000 0.000 0.000 0.972 0.028
#> F62E5A69-5E81-4B2A-8CC0-F4D6E188B187 1 0.0363 0.8964 0.988 0.000 0.000 0.000 0.000 0.012
#> C650633B-A369-4657-8693-FDFBF22BD34E 2 0.4167 0.2843 0.000 0.632 0.000 0.000 0.344 0.024
#> 5E514217-F0DB-49FD-9C5D-EB22628ED297 5 0.0603 0.7186 0.000 0.004 0.000 0.000 0.980 0.016
#> 6E1DB9BF-06FE-48B1-A2D8-EF2CE7591364 2 0.1007 0.8068 0.000 0.956 0.000 0.000 0.000 0.044
#> C9581CE3-58B6-45B4-B4B7-15F555FD84A4 4 0.2982 0.7626 0.164 0.000 0.000 0.820 0.004 0.012
#> F56C26ED-9358-485B-8867-EBA1CAA4E2A7 2 0.1501 0.7958 0.000 0.924 0.000 0.000 0.000 0.076
#> 45CA3F9E-40EE-43A4-AE57-FE51D4003844 5 0.5711 0.0593 0.000 0.276 0.000 0.000 0.516 0.208
#> 47EFA063-19C1-4E1F-ACE8-68D9BAD0B995 4 0.4201 0.6485 0.236 0.036 0.000 0.716 0.000 0.012
#> 8C30EA0F-0DA1-43C7-81AE-DE825A53F114 5 0.1349 0.6982 0.004 0.000 0.000 0.056 0.940 0.000
#> 2CE7477C-DD09-4B3A-AD65-C696BE8C9B11 1 0.0790 0.8910 0.968 0.000 0.000 0.000 0.000 0.032
#> 4DECB19A-290F-4CEB-BE25-AAF9B9E2B58F 1 0.0363 0.8964 0.988 0.000 0.000 0.000 0.000 0.012
#> 3DEA9B14-DF42-43A0-AC4A-32AE7A16218D 5 0.3588 0.6433 0.000 0.060 0.000 0.000 0.788 0.152
#> 9F57D45B-C62F-44C5-AB9D-0CB54BBA16F5 5 0.0405 0.7205 0.000 0.008 0.000 0.000 0.988 0.004
#> 54ACCFD9-A8D6-4E4C-9097-1A0BE258AA1B 4 0.5726 0.0492 0.436 0.032 0.000 0.456 0.000 0.076
#> 9EE67DE9-9B56-4773-8F6A-1036D31F568E 6 0.5428 0.4460 0.000 0.000 0.000 0.252 0.176 0.572
#> 1B1C9301-D6D6-4F6B-80A3-3603013AA951 5 0.3684 0.3174 0.000 0.004 0.000 0.000 0.664 0.332
#> DDDCDF00-FB0A-477B-891B-2EE5E0C8F61E 3 0.0000 0.9596 0.000 0.000 1.000 0.000 0.000 0.000
#> 34A3260D-AC4D-416F-ADF0-24013048BC46 2 0.8011 -0.1150 0.080 0.360 0.000 0.288 0.204 0.068
#> 671C1840-9C1B-4AC1-9564-78802489F763 1 0.0000 0.8969 1.000 0.000 0.000 0.000 0.000 0.000
#> BA4F7841-9FC3-4CE6-ACA5-43FC36641640 2 0.1663 0.7950 0.000 0.912 0.000 0.000 0.000 0.088
#> 24A02CE5-28E7-457E-8B90-4EACA528B072 1 0.0363 0.8964 0.988 0.000 0.000 0.000 0.000 0.012
#> C7008665-F6DE-48B4-A0E7-6C388B72C609 2 0.1444 0.8034 0.000 0.928 0.000 0.000 0.000 0.072
#> 50F984AB-95C1-4D7B-A787-418CBB59D165 4 0.0363 0.8383 0.000 0.000 0.000 0.988 0.000 0.012
#> 5FFD2A6A-ED8A-44A9-9FC1-3106341C284A 5 0.1141 0.7075 0.000 0.000 0.000 0.000 0.948 0.052
#> 7481630E-5CBA-4A4A-A16F-E327BCEE11D3 1 0.2719 0.8653 0.876 0.012 0.000 0.000 0.040 0.072
#> 7B3E6643-C148-4266-A3A3-80BAB713DD3E 6 0.5966 0.5198 0.000 0.256 0.000 0.000 0.296 0.448
#> BA8564FA-8D4D-4B2F-A178-63209F887A05 2 0.0632 0.8114 0.000 0.976 0.000 0.000 0.024 0.000
#> 2FB578F6-E8B7-434D-9720-D448A26C1EFD 1 0.0547 0.8972 0.980 0.000 0.000 0.000 0.000 0.020
#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 2 0.1531 0.7962 0.004 0.928 0.000 0.000 0.000 0.068
#> 740FCE46-8A4A-4A6A-B79F-78A63D28E313 2 0.2912 0.5833 0.000 0.784 0.000 0.000 0.216 0.000
#> 523A5832-0C42-44A4-A58F-7011C3A567DC 3 0.1204 0.9492 0.000 0.000 0.944 0.000 0.000 0.056
#> A2C68C81-7371-4E0C-BFD1-EA868A7C9499 2 0.0146 0.8125 0.000 0.996 0.000 0.000 0.000 0.004
#> 2EB7025A-D932-4238-BD60-609B25150029 5 0.3700 0.6387 0.000 0.068 0.000 0.000 0.780 0.152
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 5 0.3841 0.0134 0.000 0.004 0.000 0.000 0.616 0.380
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 5 0.5027 0.5491 0.000 0.108 0.000 0.064 0.716 0.112
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 2 0.3555 0.5021 0.000 0.712 0.000 0.000 0.008 0.280
#> F081EA01-ED14-491B-9620-BF8F10A7431D 5 0.0146 0.7197 0.000 0.004 0.000 0.000 0.996 0.000
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 2 0.4403 0.5739 0.000 0.708 0.000 0.000 0.196 0.096
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 4 0.5040 0.5235 0.000 0.000 0.000 0.636 0.212 0.152
#> B54639CE-F721-4908-B758-309F148AD3C2 5 0.0146 0.7197 0.000 0.004 0.000 0.000 0.996 0.000
#> EB4294E1-3FBC-495C-A041-829A654B59C5 3 0.2378 0.9250 0.000 0.000 0.848 0.000 0.000 0.152
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 1 0.2563 0.8549 0.876 0.052 0.000 0.000 0.000 0.072
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.0458 0.8120 0.000 0.984 0.000 0.000 0.000 0.016
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 1 0.4388 0.3185 0.572 0.400 0.000 0.000 0.000 0.028
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.2070 0.7974 0.000 0.908 0.000 0.000 0.044 0.048
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 1 0.2437 0.8683 0.888 0.036 0.000 0.000 0.004 0.072
#> D34036E4-1122-42AE-B20F-F4C8515872A0 2 0.5307 0.2198 0.000 0.588 0.000 0.000 0.256 0.156
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 2 0.3986 0.3971 0.000 0.664 0.000 0.000 0.316 0.020
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 4 0.0632 0.8391 0.000 0.000 0.000 0.976 0.000 0.024
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 3 0.0000 0.9596 0.000 0.000 1.000 0.000 0.000 0.000
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.2996 0.6120 0.000 0.772 0.000 0.000 0.000 0.228
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.0260 0.8123 0.000 0.992 0.000 0.000 0.000 0.008
#> F3C13430-405E-432E-8F3E-0DD18E86087E 4 0.6275 0.1066 0.000 0.340 0.000 0.432 0.016 0.212
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.1285 0.8075 0.000 0.944 0.000 0.000 0.004 0.052
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 1 0.2485 0.8598 0.884 0.008 0.000 0.084 0.000 0.024
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.1152 0.8010 0.000 0.952 0.000 0.000 0.044 0.004
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.3955 0.1580 0.000 0.560 0.000 0.000 0.004 0.436
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 5 0.6989 0.1788 0.300 0.024 0.000 0.032 0.432 0.212
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.1957 0.7553 0.000 0.888 0.000 0.000 0.000 0.112
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.1745 0.8765 0.924 0.056 0.000 0.000 0.000 0.020
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 4 0.3011 0.7417 0.004 0.000 0.000 0.800 0.004 0.192
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 4 0.5638 0.1879 0.400 0.028 0.000 0.496 0.000 0.076
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 5 0.0260 0.7199 0.000 0.008 0.000 0.000 0.992 0.000
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.0000 0.9596 0.000 0.000 1.000 0.000 0.000 0.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.2378 0.9250 0.000 0.000 0.848 0.000 0.000 0.152
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 2 0.4012 0.4647 0.000 0.640 0.000 0.000 0.016 0.344
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 5 0.2738 0.6046 0.000 0.176 0.000 0.004 0.820 0.000
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.0146 0.8132 0.000 0.996 0.000 0.000 0.000 0.004
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 4 0.1075 0.8365 0.000 0.000 0.000 0.952 0.000 0.048
#> 343F031B-0095-429D-8212-AD0581DBB05B 4 0.0632 0.8391 0.000 0.000 0.000 0.976 0.000 0.024
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 5 0.2912 0.6567 0.000 0.012 0.000 0.000 0.816 0.172
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.0790 0.8906 0.968 0.000 0.000 0.032 0.000 0.000
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 6 0.5030 0.5140 0.000 0.044 0.000 0.020 0.360 0.576
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 5 0.5537 0.2659 0.000 0.328 0.000 0.000 0.520 0.152
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 2 0.0000 0.8126 0.000 1.000 0.000 0.000 0.000 0.000
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.0458 0.8143 0.000 0.984 0.000 0.000 0.000 0.016
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 5 0.0260 0.7199 0.000 0.008 0.000 0.000 0.992 0.000
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.6916 -0.3627 0.000 0.396 0.000 0.060 0.236 0.308
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.0000 0.9596 0.000 0.000 1.000 0.000 0.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.0363 0.8964 0.988 0.000 0.000 0.000 0.000 0.012
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.1204 0.9493 0.000 0.000 0.944 0.000 0.000 0.056
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 4 0.0858 0.8392 0.000 0.000 0.000 0.968 0.004 0.028
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.2378 0.9250 0.000 0.000 0.848 0.000 0.000 0.152
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.2793 0.6564 0.000 0.800 0.000 0.000 0.000 0.200
#> FC7821F4-6495-4545-A22A-764BB99B3F79 2 0.1866 0.7890 0.008 0.908 0.000 0.000 0.000 0.084
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.5178 -0.0982 0.000 0.488 0.000 0.000 0.088 0.424
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 5 0.5151 0.3696 0.000 0.152 0.000 0.004 0.636 0.208
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 5 0.2664 0.5979 0.000 0.184 0.000 0.000 0.816 0.000
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.0291 0.8124 0.000 0.992 0.000 0.000 0.004 0.004
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 2 0.3231 0.6944 0.016 0.784 0.000 0.000 0.000 0.200
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 4 0.0865 0.8378 0.000 0.000 0.000 0.964 0.000 0.036
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 5 0.3804 0.1579 0.000 0.424 0.000 0.000 0.576 0.000
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0000 0.9596 0.000 0.000 1.000 0.000 0.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 5 0.2558 0.6540 0.000 0.004 0.000 0.000 0.840 0.156
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.6129 -0.2709 0.000 0.348 0.000 0.328 0.000 0.324
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 4 0.3612 0.7441 0.100 0.000 0.000 0.796 0.104 0.000
#> BEE081CA-8420-4314-88A0-286BB30FFD65 5 0.4168 0.2027 0.000 0.000 0.000 0.400 0.584 0.016
#> C464CD1D-4519-48E8-A18A-403F691E5702 1 0.2575 0.8660 0.880 0.004 0.000 0.000 0.044 0.072
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.1663 0.8621 0.912 0.000 0.000 0.000 0.000 0.088
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 5 0.2362 0.6631 0.004 0.000 0.000 0.000 0.860 0.136
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0260 0.8123 0.000 0.992 0.000 0.000 0.000 0.008
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.2504 0.8520 0.880 0.004 0.000 0.000 0.088 0.028
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.2563 0.8564 0.876 0.052 0.000 0.000 0.000 0.072
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 17109 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'CV' method.
#> Subgroups are detected by 'mclust' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.988 0.995 0.1819 0.823 0.823
#> 3 3 0.546 0.855 0.903 1.9591 0.582 0.502
#> 4 4 0.518 0.712 0.838 0.1822 0.753 0.519
#> 5 5 0.535 0.574 0.790 0.1425 0.789 0.492
#> 6 6 0.647 0.721 0.820 0.0779 0.822 0.462
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
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.0000 0.996 0.000 1.000
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 2 0.0000 0.996 0.000 1.000
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 2 0.0000 0.996 0.000 1.000
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#> CD3AC0E4-88A9-4084-A2BE-AEE722CF6AA3 2 0.0000 0.996 0.000 1.000
#> 8D7FABA2-764D-4795-BB04-D9E69E9792B9 2 0.7299 0.743 0.204 0.796
#> DAC07889-EE06-46E0-B1F1-833ECC0A48A9 2 0.0000 0.996 0.000 1.000
#> E7B555A3-567B-4A44-8225-D269E73FB50B 2 0.0000 0.996 0.000 1.000
#> 3CC95101-C35F-4761-9D41-3C35BD55B37E 2 0.0000 0.996 0.000 1.000
#> F62E5A69-5E81-4B2A-8CC0-F4D6E188B187 2 0.4939 0.878 0.108 0.892
#> C650633B-A369-4657-8693-FDFBF22BD34E 2 0.0000 0.996 0.000 1.000
#> 5E514217-F0DB-49FD-9C5D-EB22628ED297 2 0.0000 0.996 0.000 1.000
#> 6E1DB9BF-06FE-48B1-A2D8-EF2CE7591364 2 0.0000 0.996 0.000 1.000
#> C9581CE3-58B6-45B4-B4B7-15F555FD84A4 2 0.0000 0.996 0.000 1.000
#> F56C26ED-9358-485B-8867-EBA1CAA4E2A7 2 0.0000 0.996 0.000 1.000
#> 45CA3F9E-40EE-43A4-AE57-FE51D4003844 2 0.0000 0.996 0.000 1.000
#> 47EFA063-19C1-4E1F-ACE8-68D9BAD0B995 2 0.0000 0.996 0.000 1.000
#> 8C30EA0F-0DA1-43C7-81AE-DE825A53F114 2 0.9661 0.352 0.392 0.608
#> 2CE7477C-DD09-4B3A-AD65-C696BE8C9B11 1 0.1843 0.966 0.972 0.028
#> 4DECB19A-290F-4CEB-BE25-AAF9B9E2B58F 2 0.8016 0.677 0.244 0.756
#> 3DEA9B14-DF42-43A0-AC4A-32AE7A16218D 2 0.0000 0.996 0.000 1.000
#> 9F57D45B-C62F-44C5-AB9D-0CB54BBA16F5 2 0.0000 0.996 0.000 1.000
#> 54ACCFD9-A8D6-4E4C-9097-1A0BE258AA1B 2 0.0000 0.996 0.000 1.000
#> 9EE67DE9-9B56-4773-8F6A-1036D31F568E 2 0.0000 0.996 0.000 1.000
#> 1B1C9301-D6D6-4F6B-80A3-3603013AA951 2 0.0000 0.996 0.000 1.000
#> DDDCDF00-FB0A-477B-891B-2EE5E0C8F61E 1 0.0000 0.988 1.000 0.000
#> 34A3260D-AC4D-416F-ADF0-24013048BC46 2 0.0000 0.996 0.000 1.000
#> 671C1840-9C1B-4AC1-9564-78802489F763 2 0.0000 0.996 0.000 1.000
#> BA4F7841-9FC3-4CE6-ACA5-43FC36641640 2 0.0000 0.996 0.000 1.000
#> 24A02CE5-28E7-457E-8B90-4EACA528B072 2 0.0000 0.996 0.000 1.000
#> C7008665-F6DE-48B4-A0E7-6C388B72C609 2 0.0000 0.996 0.000 1.000
#> 50F984AB-95C1-4D7B-A787-418CBB59D165 2 0.0000 0.996 0.000 1.000
#> 5FFD2A6A-ED8A-44A9-9FC1-3106341C284A 2 0.0000 0.996 0.000 1.000
#> 7481630E-5CBA-4A4A-A16F-E327BCEE11D3 2 0.0000 0.996 0.000 1.000
#> 7B3E6643-C148-4266-A3A3-80BAB713DD3E 2 0.0000 0.996 0.000 1.000
#> BA8564FA-8D4D-4B2F-A178-63209F887A05 2 0.0000 0.996 0.000 1.000
#> 2FB578F6-E8B7-434D-9720-D448A26C1EFD 2 0.0000 0.996 0.000 1.000
#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 2 0.0000 0.996 0.000 1.000
#> 740FCE46-8A4A-4A6A-B79F-78A63D28E313 2 0.0000 0.996 0.000 1.000
#> 523A5832-0C42-44A4-A58F-7011C3A567DC 1 0.0000 0.988 1.000 0.000
#> A2C68C81-7371-4E0C-BFD1-EA868A7C9499 2 0.0000 0.996 0.000 1.000
#> 2EB7025A-D932-4238-BD60-609B25150029 2 0.0000 0.996 0.000 1.000
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 2 0.0000 0.996 0.000 1.000
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 2 0.0000 0.996 0.000 1.000
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 2 0.0000 0.996 0.000 1.000
#> F081EA01-ED14-491B-9620-BF8F10A7431D 2 0.0000 0.996 0.000 1.000
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 2 0.0000 0.996 0.000 1.000
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 2 0.0000 0.996 0.000 1.000
#> B54639CE-F721-4908-B758-309F148AD3C2 2 0.0000 0.996 0.000 1.000
#> EB4294E1-3FBC-495C-A041-829A654B59C5 1 0.0000 0.988 1.000 0.000
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 2 0.0000 0.996 0.000 1.000
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.0000 0.996 0.000 1.000
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 2 0.0000 0.996 0.000 1.000
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.0000 0.996 0.000 1.000
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 2 0.0000 0.996 0.000 1.000
#> D34036E4-1122-42AE-B20F-F4C8515872A0 2 0.0000 0.996 0.000 1.000
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 2 0.0000 0.996 0.000 1.000
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 2 0.0000 0.996 0.000 1.000
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 1 0.0000 0.988 1.000 0.000
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.0000 0.996 0.000 1.000
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.0000 0.996 0.000 1.000
#> F3C13430-405E-432E-8F3E-0DD18E86087E 2 0.0000 0.996 0.000 1.000
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.0000 0.996 0.000 1.000
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 2 0.0000 0.996 0.000 1.000
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.0000 0.996 0.000 1.000
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.0000 0.996 0.000 1.000
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 2 0.0000 0.996 0.000 1.000
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.0000 0.996 0.000 1.000
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 2 0.0000 0.996 0.000 1.000
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 2 0.0000 0.996 0.000 1.000
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 2 0.0000 0.996 0.000 1.000
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.0000 0.996 0.000 1.000
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 1 0.0000 0.988 1.000 0.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 1 0.0000 0.988 1.000 0.000
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 2 0.0000 0.996 0.000 1.000
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 2 0.0000 0.996 0.000 1.000
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.0000 0.996 0.000 1.000
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 2 0.0000 0.996 0.000 1.000
#> 343F031B-0095-429D-8212-AD0581DBB05B 2 0.0000 0.996 0.000 1.000
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 2 0.0000 0.996 0.000 1.000
#> 03A226C5-398D-41D2-BB72-C97A373CD512 2 0.0000 0.996 0.000 1.000
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 2 0.0000 0.996 0.000 1.000
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 2 0.0000 0.996 0.000 1.000
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 2 0.0000 0.996 0.000 1.000
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.0000 0.996 0.000 1.000
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.0000 0.996 0.000 1.000
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.0000 0.996 0.000 1.000
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 1 0.0000 0.988 1.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 2 0.0000 0.996 0.000 1.000
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 1 0.0000 0.988 1.000 0.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 2 0.0000 0.996 0.000 1.000
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 1 0.0000 0.988 1.000 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.0000 0.996 0.000 1.000
#> FC7821F4-6495-4545-A22A-764BB99B3F79 2 0.0000 0.996 0.000 1.000
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.0000 0.996 0.000 1.000
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.0000 0.996 0.000 1.000
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.0000 0.996 0.000 1.000
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.0000 0.996 0.000 1.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 2 0.0000 0.996 0.000 1.000
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 2 0.0000 0.996 0.000 1.000
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.0000 0.996 0.000 1.000
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 1 0.0000 0.988 1.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 2 0.0000 0.996 0.000 1.000
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.0000 0.996 0.000 1.000
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 2 0.0000 0.996 0.000 1.000
#> BEE081CA-8420-4314-88A0-286BB30FFD65 2 0.0000 0.996 0.000 1.000
#> C464CD1D-4519-48E8-A18A-403F691E5702 2 0.0000 0.996 0.000 1.000
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.1633 0.970 0.976 0.024
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.0000 0.996 0.000 1.000
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0000 0.996 0.000 1.000
#> A563359B-0D55-4826-9229-62A89143C1C6 2 0.0000 0.996 0.000 1.000
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 2 0.0000 0.996 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.0592 0.9183 0.012 0.988 0.000
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 1 0.4399 0.8858 0.812 0.188 0.000
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 2 0.0000 0.9270 0.000 1.000 0.000
#> 91202998-760F-4421-B1C4-18639962EDDA 1 0.1031 0.8460 0.976 0.024 0.000
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.0000 0.9270 0.000 1.000 0.000
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 1 0.4605 0.8790 0.796 0.204 0.000
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 1 0.4291 0.8871 0.820 0.180 0.000
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.0000 0.9270 0.000 1.000 0.000
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.3619 0.7947 0.136 0.864 0.000
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.0000 0.9270 0.000 1.000 0.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 1 0.4452 0.8852 0.808 0.192 0.000
#> 784B2359-6064-4FAA-9311-7A852F061FBB 1 0.4465 0.8872 0.820 0.176 0.004
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 2 0.0000 0.9270 0.000 1.000 0.000
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 1 0.3551 0.8821 0.868 0.132 0.000
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0000 0.9967 0.000 0.000 1.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.0000 0.9270 0.000 1.000 0.000
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.0000 0.8309 1.000 0.000 0.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 1 0.4605 0.8790 0.796 0.204 0.000
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 1 0.4555 0.8814 0.800 0.200 0.000
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.0424 0.8359 0.992 0.008 0.000
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.2356 0.8792 0.072 0.928 0.000
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.0000 0.9270 0.000 1.000 0.000
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 2 0.4887 0.6383 0.228 0.772 0.000
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 1 0.0592 0.8392 0.988 0.012 0.000
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.0000 0.9270 0.000 1.000 0.000
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 1 0.4605 0.8790 0.796 0.204 0.000
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.0000 0.9270 0.000 1.000 0.000
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.0000 0.9270 0.000 1.000 0.000
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.0000 0.9967 0.000 0.000 1.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.0000 0.9270 0.000 1.000 0.000
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 1 0.4452 0.8843 0.808 0.192 0.000
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 1 0.6244 0.4861 0.560 0.440 0.000
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.0000 0.9270 0.000 1.000 0.000
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.0000 0.9270 0.000 1.000 0.000
#> 2846A3AC-D102-4E37-9B72-139ED727157A 2 0.1529 0.8952 0.040 0.960 0.000
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.1753 0.8877 0.048 0.952 0.000
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 1 0.0424 0.8366 0.992 0.008 0.000
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.0000 0.8309 1.000 0.000 0.000
#> 150F5B77-4848-4D68-800A-0A0236C3661F 2 0.2959 0.8388 0.100 0.900 0.000
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.4605 0.8458 0.796 0.204 0.000
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.0000 0.9270 0.000 1.000 0.000
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.0000 0.9270 0.000 1.000 0.000
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 1 0.0592 0.8392 0.988 0.012 0.000
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 1 0.4654 0.8769 0.792 0.208 0.000
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.0000 0.9270 0.000 1.000 0.000
#> 1447B543-D3AC-41B5-878F-B382FE49421B 1 0.0892 0.8434 0.980 0.020 0.000
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 2 0.1411 0.8987 0.036 0.964 0.000
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 1 0.4555 0.8814 0.800 0.200 0.000
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.0000 0.9967 0.000 0.000 1.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 1 0.4346 0.8867 0.816 0.184 0.000
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 1 0.4452 0.8848 0.808 0.192 0.000
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.0000 0.8309 1.000 0.000 0.000
#> D9225689-21E0-478A-8F79-C26542938B8D 1 0.4399 0.8857 0.812 0.188 0.000
#> FC3BA46D-57F6-424C-8D62-16C441035969 1 0.6225 0.4914 0.568 0.432 0.000
#> 045CFFE6-4736-42F2-9340-C37690E47882 3 0.0000 0.9967 0.000 0.000 1.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 1 0.4062 0.8880 0.836 0.164 0.000
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 2 0.5650 0.5289 0.312 0.688 0.000
#> E94B217F-C5DC-4F42-8135-E81F338914B5 1 0.4605 0.8790 0.796 0.204 0.000
#> AE4C3956-76DF-4059-8D69-3D764F31817F 2 0.0000 0.9270 0.000 1.000 0.000
#> 33D6A38E-CD99-437B-99E0-04E72582F777 1 0.4605 0.8790 0.796 0.204 0.000
#> 8379051C-5847-42B5-AC5C-A128C166AB97 1 0.4346 0.8867 0.816 0.184 0.000
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 1 0.4235 0.8878 0.824 0.176 0.000
#> 40A16429-229E-4F40-BFC7-263554438F99 2 0.4796 0.6596 0.220 0.780 0.000
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 1 0.4702 0.8737 0.788 0.212 0.000
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 1 0.4555 0.8814 0.800 0.200 0.000
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 1 0.4235 0.8876 0.824 0.176 0.000
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 1 0.1411 0.8518 0.964 0.036 0.000
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.0000 0.9270 0.000 1.000 0.000
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 1 0.4399 0.8857 0.812 0.188 0.000
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 1 0.4452 0.8846 0.808 0.192 0.000
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 1 0.4452 0.8844 0.808 0.192 0.000
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.0000 0.9270 0.000 1.000 0.000
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 2 0.0000 0.9270 0.000 1.000 0.000
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 1 0.4346 0.8867 0.816 0.184 0.000
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 2 0.1964 0.8804 0.056 0.944 0.000
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#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 2 0.1753 0.8877 0.048 0.952 0.000
#> 740FCE46-8A4A-4A6A-B79F-78A63D28E313 2 0.0000 0.9270 0.000 1.000 0.000
#> 523A5832-0C42-44A4-A58F-7011C3A567DC 3 0.0000 0.9967 0.000 0.000 1.000
#> A2C68C81-7371-4E0C-BFD1-EA868A7C9499 2 0.0000 0.9270 0.000 1.000 0.000
#> 2EB7025A-D932-4238-BD60-609B25150029 1 0.4346 0.8868 0.816 0.184 0.000
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 2 0.0000 0.9270 0.000 1.000 0.000
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 2 0.1643 0.8916 0.044 0.956 0.000
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 2 0.0000 0.9270 0.000 1.000 0.000
#> F081EA01-ED14-491B-9620-BF8F10A7431D 1 0.4504 0.8827 0.804 0.196 0.000
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 2 0.0000 0.9270 0.000 1.000 0.000
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 1 0.4399 0.8858 0.812 0.188 0.000
#> B54639CE-F721-4908-B758-309F148AD3C2 1 0.6267 0.4496 0.548 0.452 0.000
#> EB4294E1-3FBC-495C-A041-829A654B59C5 3 0.0000 0.9967 0.000 0.000 1.000
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 1 0.5733 0.6607 0.676 0.324 0.000
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.0000 0.9270 0.000 1.000 0.000
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 1 0.0424 0.8359 0.992 0.008 0.000
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.0000 0.9270 0.000 1.000 0.000
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 1 0.3619 0.8826 0.864 0.136 0.000
#> D34036E4-1122-42AE-B20F-F4C8515872A0 2 0.0000 0.9270 0.000 1.000 0.000
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 1 0.6307 0.3098 0.512 0.488 0.000
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 1 0.1529 0.8547 0.960 0.040 0.000
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 3 0.0000 0.9967 0.000 0.000 1.000
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.0000 0.9270 0.000 1.000 0.000
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.0000 0.9270 0.000 1.000 0.000
#> F3C13430-405E-432E-8F3E-0DD18E86087E 2 0.1529 0.9010 0.040 0.960 0.000
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.0000 0.9270 0.000 1.000 0.000
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 1 0.4062 0.8840 0.836 0.164 0.000
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.0000 0.9270 0.000 1.000 0.000
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.0747 0.9165 0.016 0.984 0.000
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 1 0.5431 0.7388 0.716 0.284 0.000
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.1031 0.9088 0.024 0.976 0.000
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.0424 0.8359 0.992 0.008 0.000
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 1 0.0424 0.8366 0.992 0.008 0.000
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 1 0.3752 0.8825 0.856 0.144 0.000
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 1 0.4555 0.8806 0.800 0.200 0.000
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.0000 0.9967 0.000 0.000 1.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.0000 0.9967 0.000 0.000 1.000
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 2 0.0000 0.9270 0.000 1.000 0.000
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 2 0.5678 0.4338 0.316 0.684 0.000
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.1753 0.8877 0.048 0.952 0.000
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 1 0.1289 0.8506 0.968 0.032 0.000
#> 343F031B-0095-429D-8212-AD0581DBB05B 1 0.2261 0.8667 0.932 0.068 0.000
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 2 0.0000 0.9270 0.000 1.000 0.000
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.0237 0.8335 0.996 0.004 0.000
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 1 0.5591 0.7489 0.696 0.304 0.000
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 2 0.6260 -0.0803 0.448 0.552 0.000
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 2 0.0747 0.9153 0.016 0.984 0.000
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.1411 0.8987 0.036 0.964 0.000
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.0000 0.9270 0.000 1.000 0.000
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.0592 0.9188 0.012 0.988 0.000
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.0000 0.9967 0.000 0.000 1.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.0000 0.8309 1.000 0.000 0.000
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.0000 0.9967 0.000 0.000 1.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 1 0.4399 0.8858 0.812 0.188 0.000
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.0000 0.9967 0.000 0.000 1.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.0000 0.9270 0.000 1.000 0.000
#> FC7821F4-6495-4545-A22A-764BB99B3F79 2 0.2796 0.8652 0.092 0.908 0.000
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.0000 0.9270 0.000 1.000 0.000
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 1 0.5926 0.6759 0.644 0.356 0.000
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 1 0.5363 0.8045 0.724 0.276 0.000
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.0000 0.9270 0.000 1.000 0.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 2 0.4605 0.7402 0.204 0.796 0.000
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 1 0.4399 0.8858 0.812 0.188 0.000
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.1753 0.8877 0.048 0.952 0.000
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0000 0.9967 0.000 0.000 1.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 1 0.4702 0.8737 0.788 0.212 0.000
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.2625 0.8585 0.084 0.916 0.000
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 1 0.4178 0.8877 0.828 0.172 0.000
#> BEE081CA-8420-4314-88A0-286BB30FFD65 1 0.4399 0.8857 0.812 0.188 0.000
#> C464CD1D-4519-48E8-A18A-403F691E5702 1 0.4654 0.8770 0.792 0.208 0.000
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.1031 0.8284 0.976 0.000 0.024
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 1 0.4702 0.8737 0.788 0.212 0.000
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0000 0.9270 0.000 1.000 0.000
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.4399 0.8857 0.812 0.188 0.000
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.6299 0.1907 0.524 0.476 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.1706 0.8453 0.036 0.948 0.000 0.016
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 4 0.4391 0.7096 0.008 0.252 0.000 0.740
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 2 0.0592 0.8585 0.000 0.984 0.000 0.016
#> 91202998-760F-4421-B1C4-18639962EDDA 4 0.1978 0.6371 0.068 0.004 0.000 0.928
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.0707 0.8576 0.000 0.980 0.000 0.020
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 4 0.4972 0.3747 0.000 0.456 0.000 0.544
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 4 0.2593 0.7132 0.004 0.104 0.000 0.892
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.1389 0.8536 0.000 0.952 0.000 0.048
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.1792 0.8429 0.000 0.932 0.000 0.068
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.0188 0.8592 0.000 0.996 0.000 0.004
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 4 0.3161 0.7129 0.012 0.124 0.000 0.864
#> 784B2359-6064-4FAA-9311-7A852F061FBB 4 0.9013 0.5381 0.180 0.196 0.136 0.488
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 2 0.0592 0.8585 0.000 0.984 0.000 0.016
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 1 0.5762 0.4377 0.608 0.352 0.000 0.040
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0000 0.9800 0.000 0.000 1.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.0592 0.8585 0.000 0.984 0.000 0.016
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.0000 0.7829 1.000 0.000 0.000 0.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 4 0.4800 0.6314 0.004 0.340 0.000 0.656
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 4 0.4917 0.6463 0.008 0.336 0.000 0.656
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.0188 0.7810 0.996 0.000 0.000 0.004
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.4706 0.6294 0.248 0.732 0.000 0.020
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.0188 0.8592 0.000 0.996 0.000 0.004
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 2 0.1767 0.8519 0.012 0.944 0.000 0.044
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 4 0.2125 0.6315 0.076 0.004 0.000 0.920
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.2011 0.8286 0.000 0.920 0.000 0.080
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 2 0.4972 -0.0463 0.000 0.544 0.000 0.456
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.0592 0.8585 0.000 0.984 0.000 0.016
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.0592 0.8585 0.000 0.984 0.000 0.016
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.0000 0.9800 0.000 0.000 1.000 0.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.1022 0.8549 0.000 0.968 0.000 0.032
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 4 0.4837 0.6325 0.004 0.348 0.000 0.648
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 2 0.2101 0.8466 0.012 0.928 0.000 0.060
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.1557 0.8394 0.000 0.944 0.000 0.056
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.0336 0.8572 0.000 0.992 0.000 0.008
#> 2846A3AC-D102-4E37-9B72-139ED727157A 2 0.3105 0.7550 0.140 0.856 0.000 0.004
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.3428 0.7498 0.144 0.844 0.000 0.012
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 4 0.2125 0.6315 0.076 0.004 0.000 0.920
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.0000 0.7829 1.000 0.000 0.000 0.000
#> 150F5B77-4848-4D68-800A-0A0236C3661F 2 0.2345 0.8268 0.000 0.900 0.000 0.100
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.4988 0.5919 0.692 0.288 0.000 0.020
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.0000 0.8586 0.000 1.000 0.000 0.000
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.0336 0.8572 0.000 0.992 0.000 0.008
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 4 0.2466 0.6132 0.096 0.004 0.000 0.900
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 4 0.4964 0.5867 0.004 0.380 0.000 0.616
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.1209 0.8481 0.032 0.964 0.000 0.004
#> 1447B543-D3AC-41B5-878F-B382FE49421B 1 0.5917 0.1729 0.520 0.444 0.000 0.036
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 2 0.3495 0.7535 0.140 0.844 0.000 0.016
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 2 0.5080 0.1136 0.004 0.576 0.000 0.420
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.0000 0.9800 0.000 0.000 1.000 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 4 0.4122 0.6557 0.004 0.236 0.000 0.760
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 4 0.5163 0.1703 0.004 0.480 0.000 0.516
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.0000 0.7829 1.000 0.000 0.000 0.000
#> D9225689-21E0-478A-8F79-C26542938B8D 4 0.5070 0.5984 0.008 0.372 0.000 0.620
#> FC3BA46D-57F6-424C-8D62-16C441035969 2 0.3444 0.7209 0.000 0.816 0.000 0.184
#> 045CFFE6-4736-42F2-9340-C37690E47882 3 0.0000 0.9800 0.000 0.000 1.000 0.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 4 0.6936 0.6282 0.224 0.188 0.000 0.588
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 2 0.4508 0.6949 0.184 0.780 0.000 0.036
#> E94B217F-C5DC-4F42-8135-E81F338914B5 4 0.4889 0.6166 0.004 0.360 0.000 0.636
#> AE4C3956-76DF-4059-8D69-3D764F31817F 2 0.0188 0.8575 0.000 0.996 0.000 0.004
#> 33D6A38E-CD99-437B-99E0-04E72582F777 4 0.4564 0.6436 0.000 0.328 0.000 0.672
#> 8379051C-5847-42B5-AC5C-A128C166AB97 4 0.2654 0.7141 0.004 0.108 0.000 0.888
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 4 0.4252 0.6374 0.004 0.252 0.000 0.744
#> 40A16429-229E-4F40-BFC7-263554438F99 2 0.2647 0.8052 0.000 0.880 0.000 0.120
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 2 0.5039 0.1358 0.004 0.592 0.000 0.404
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 4 0.4950 0.5929 0.004 0.376 0.000 0.620
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 4 0.4636 0.7165 0.068 0.140 0.000 0.792
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 4 0.4100 0.6970 0.048 0.128 0.000 0.824
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.1489 0.8415 0.044 0.952 0.000 0.004
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 4 0.3208 0.7193 0.004 0.148 0.000 0.848
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 4 0.4950 0.4027 0.004 0.376 0.000 0.620
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 4 0.6788 0.6619 0.144 0.264 0.000 0.592
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.0336 0.8572 0.000 0.992 0.000 0.008
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 2 0.1792 0.8336 0.000 0.932 0.000 0.068
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 4 0.1978 0.7024 0.004 0.068 0.000 0.928
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 2 0.3726 0.6655 0.212 0.788 0.000 0.000
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 4 0.4950 0.5929 0.004 0.376 0.000 0.620
#> FDB47AC4-CE6A-428B-9B55-EBCEF1970ACB 4 0.4950 0.5944 0.004 0.376 0.000 0.620
#> 133B7E7B-FD50-48A2-9A35-E6D44FAB976B 2 0.0707 0.8587 0.000 0.980 0.000 0.020
#> E69E45DA-66A6-438A-9BFC-5F1F7F5C5A87 4 0.0657 0.6672 0.012 0.004 0.000 0.984
#> 6E242DF5-8B8B-4C6F-870E-C7ADFFAFDF3E 2 0.0707 0.8591 0.000 0.980 0.000 0.020
#> CB7BBFF1-4BF3-42A9-85C6-680D91503799 4 0.1978 0.6371 0.068 0.004 0.000 0.928
#> 70AA4670-C75B-4E39-8958-3F9C29811871 4 0.5168 0.2966 0.004 0.492 0.000 0.504
#> D63C5178-4FF7-4FD0-B87E-6CBF6E7BEF5B 2 0.0188 0.8586 0.000 0.996 0.000 0.004
#> 814391F8-C5B9-43F6-A330-A6749BB8F16E 4 0.4889 0.6051 0.004 0.360 0.000 0.636
#> 146ED7EA-BF3C-4BAB-B33C-0A668AB13C80 4 0.0657 0.6672 0.012 0.004 0.000 0.984
#> FD5CAFE8-E669-406A-A505-A47DCDC32E93 4 0.4155 0.7166 0.004 0.240 0.000 0.756
#> 4B3C7910-A652-45B5-8218-9002EB0FD9EB 2 0.4855 0.1672 0.000 0.600 0.000 0.400
#> E410F77D-E31F-4D73-ACAC-9245935A92F5 4 0.6578 0.6580 0.108 0.300 0.000 0.592
#> 64336403-9037-480C-873A-67BC77119FA5 2 0.0376 0.8594 0.004 0.992 0.000 0.004
#> 6F9D5013-3B1B-41EE-85DB-E51F5D828DEF 4 0.5090 0.6538 0.016 0.324 0.000 0.660
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#> C7008665-F6DE-48B4-A0E7-6C388B72C609 2 0.0188 0.8575 0.000 0.996 0.000 0.004
#> 50F984AB-95C1-4D7B-A787-418CBB59D165 4 0.3858 0.6954 0.056 0.100 0.000 0.844
#> 5FFD2A6A-ED8A-44A9-9FC1-3106341C284A 2 0.0469 0.8580 0.000 0.988 0.000 0.012
#> 7481630E-5CBA-4A4A-A16F-E327BCEE11D3 2 0.4072 0.7823 0.052 0.828 0.000 0.120
#> 7B3E6643-C148-4266-A3A3-80BAB713DD3E 2 0.0188 0.8592 0.000 0.996 0.000 0.004
#> BA8564FA-8D4D-4B2F-A178-63209F887A05 1 0.7862 -0.1305 0.388 0.280 0.000 0.332
#> 2FB578F6-E8B7-434D-9720-D448A26C1EFD 1 0.0000 0.7829 1.000 0.000 0.000 0.000
#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 2 0.3157 0.7504 0.144 0.852 0.000 0.004
#> 740FCE46-8A4A-4A6A-B79F-78A63D28E313 2 0.0000 0.8586 0.000 1.000 0.000 0.000
#> 523A5832-0C42-44A4-A58F-7011C3A567DC 3 0.0000 0.9800 0.000 0.000 1.000 0.000
#> A2C68C81-7371-4E0C-BFD1-EA868A7C9499 2 0.0592 0.8585 0.000 0.984 0.000 0.016
#> 2EB7025A-D932-4238-BD60-609B25150029 4 0.6060 0.4152 0.044 0.440 0.000 0.516
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 2 0.0817 0.8593 0.000 0.976 0.000 0.024
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 2 0.3249 0.7548 0.140 0.852 0.000 0.008
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 2 0.0592 0.8585 0.000 0.984 0.000 0.016
#> F081EA01-ED14-491B-9620-BF8F10A7431D 4 0.4950 0.5929 0.004 0.376 0.000 0.620
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 2 0.0376 0.8577 0.004 0.992 0.000 0.004
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 4 0.5636 0.7114 0.060 0.260 0.000 0.680
#> B54639CE-F721-4908-B758-309F148AD3C2 2 0.2921 0.7797 0.000 0.860 0.000 0.140
#> EB4294E1-3FBC-495C-A041-829A654B59C5 3 0.0000 0.9800 0.000 0.000 1.000 0.000
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 1 0.5110 0.5336 0.656 0.328 0.000 0.016
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.0188 0.8586 0.000 0.996 0.000 0.004
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 1 0.0000 0.7829 1.000 0.000 0.000 0.000
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.0336 0.8594 0.000 0.992 0.000 0.008
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 1 0.3658 0.6967 0.836 0.144 0.000 0.020
#> D34036E4-1122-42AE-B20F-F4C8515872A0 2 0.0188 0.8592 0.000 0.996 0.000 0.004
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 2 0.4103 0.5853 0.000 0.744 0.000 0.256
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 4 0.2053 0.6348 0.072 0.004 0.000 0.924
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 3 0.0000 0.9800 0.000 0.000 1.000 0.000
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.0000 0.8586 0.000 1.000 0.000 0.000
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.0188 0.8586 0.000 0.996 0.000 0.004
#> F3C13430-405E-432E-8F3E-0DD18E86087E 2 0.3711 0.7515 0.140 0.836 0.000 0.024
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.0469 0.8588 0.000 0.988 0.000 0.012
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 2 0.5947 0.4562 0.312 0.628 0.000 0.060
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.0707 0.8591 0.000 0.980 0.000 0.020
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.1867 0.8383 0.000 0.928 0.000 0.072
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 2 0.5218 0.6638 0.200 0.736 0.000 0.064
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.3052 0.7599 0.136 0.860 0.000 0.004
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.0000 0.7829 1.000 0.000 0.000 0.000
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 4 0.2266 0.6283 0.084 0.004 0.000 0.912
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 2 0.7497 -0.0178 0.396 0.424 0.000 0.180
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 4 0.5151 0.3849 0.004 0.464 0.000 0.532
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.0000 0.9800 0.000 0.000 1.000 0.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.0000 0.9800 0.000 0.000 1.000 0.000
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 2 0.0592 0.8585 0.000 0.984 0.000 0.016
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 2 0.1890 0.8491 0.008 0.936 0.000 0.056
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.3157 0.7504 0.144 0.852 0.000 0.004
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 4 0.2179 0.6453 0.064 0.012 0.000 0.924
#> 343F031B-0095-429D-8212-AD0581DBB05B 4 0.1398 0.6546 0.040 0.004 0.000 0.956
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 2 0.1792 0.8447 0.000 0.932 0.000 0.068
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.3024 0.6653 0.852 0.000 0.000 0.148
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 4 0.5080 0.2823 0.004 0.420 0.000 0.576
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 2 0.2401 0.8323 0.004 0.904 0.000 0.092
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 2 0.2984 0.8118 0.084 0.888 0.000 0.028
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.3495 0.7535 0.140 0.844 0.000 0.016
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.0000 0.8586 0.000 1.000 0.000 0.000
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.1940 0.8393 0.000 0.924 0.000 0.076
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.0000 0.9800 0.000 0.000 1.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.0000 0.7829 1.000 0.000 0.000 0.000
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.0000 0.9800 0.000 0.000 1.000 0.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 4 0.3539 0.7253 0.004 0.176 0.000 0.820
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.0000 0.9800 0.000 0.000 1.000 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.0336 0.8572 0.000 0.992 0.000 0.008
#> FC7821F4-6495-4545-A22A-764BB99B3F79 1 0.5724 0.2569 0.548 0.424 0.000 0.028
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.0592 0.8585 0.000 0.984 0.000 0.016
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.3123 0.7719 0.000 0.844 0.000 0.156
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.3172 0.7678 0.000 0.840 0.000 0.160
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.0000 0.8586 0.000 1.000 0.000 0.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 2 0.4818 0.6614 0.216 0.748 0.000 0.036
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 4 0.4155 0.7157 0.004 0.240 0.000 0.756
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.3157 0.7504 0.144 0.852 0.000 0.004
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0000 0.9800 0.000 0.000 1.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 4 0.4889 0.6059 0.004 0.360 0.000 0.636
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.2589 0.8098 0.000 0.884 0.000 0.116
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 4 0.4292 0.7099 0.080 0.100 0.000 0.820
#> BEE081CA-8420-4314-88A0-286BB30FFD65 4 0.5742 0.6768 0.052 0.300 0.000 0.648
#> C464CD1D-4519-48E8-A18A-403F691E5702 2 0.5148 0.6278 0.056 0.736 0.000 0.208
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.0000 0.7829 1.000 0.000 0.000 0.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 4 0.5070 0.5177 0.004 0.416 0.000 0.580
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0336 0.8572 0.000 0.992 0.000 0.008
#> A563359B-0D55-4826-9229-62A89143C1C6 4 0.6973 0.6378 0.196 0.220 0.000 0.584
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.5186 0.5094 0.640 0.344 0.000 0.016
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.2204 0.72320 0.016 0.920 0.000 0.016 0.048
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 5 0.4341 0.15131 0.000 0.004 0.000 0.404 0.592
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 2 0.2783 0.72089 0.012 0.868 0.000 0.004 0.116
#> 91202998-760F-4421-B1C4-18639962EDDA 4 0.0566 0.73644 0.012 0.000 0.000 0.984 0.004
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.4003 0.62421 0.008 0.740 0.000 0.008 0.244
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 5 0.3949 0.38043 0.000 0.004 0.000 0.300 0.696
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 4 0.3949 0.50654 0.000 0.000 0.000 0.668 0.332
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.4196 0.48871 0.000 0.640 0.000 0.004 0.356
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.4549 0.32852 0.000 0.528 0.000 0.008 0.464
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.1478 0.71706 0.000 0.936 0.000 0.000 0.064
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 4 0.3873 0.56972 0.008 0.012 0.000 0.768 0.212
#> 784B2359-6064-4FAA-9311-7A852F061FBB 5 0.4132 0.36635 0.260 0.000 0.000 0.020 0.720
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 2 0.1792 0.71447 0.000 0.916 0.000 0.000 0.084
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 2 0.6692 0.37044 0.264 0.496 0.000 0.008 0.232
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0000 0.98928 0.000 0.000 1.000 0.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.0865 0.72534 0.000 0.972 0.000 0.004 0.024
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.0510 0.85680 0.984 0.000 0.000 0.016 0.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 5 0.4436 0.17079 0.000 0.008 0.000 0.396 0.596
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 5 0.3430 0.46871 0.000 0.004 0.000 0.220 0.776
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.5763 0.45009 0.616 0.280 0.000 0.012 0.092
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.5125 0.63983 0.084 0.716 0.000 0.016 0.184
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.2813 0.66689 0.000 0.832 0.000 0.000 0.168
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 2 0.4358 0.62123 0.016 0.732 0.000 0.016 0.236
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 4 0.0510 0.73484 0.016 0.000 0.000 0.984 0.000
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 5 0.4210 0.08961 0.000 0.412 0.000 0.000 0.588
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 5 0.4413 0.47668 0.000 0.044 0.000 0.232 0.724
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.0880 0.72295 0.000 0.968 0.000 0.000 0.032
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.3109 0.64739 0.000 0.800 0.000 0.000 0.200
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.0000 0.98928 0.000 0.000 1.000 0.000 0.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.4584 0.62698 0.020 0.708 0.000 0.016 0.256
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 5 0.3550 0.46189 0.000 0.004 0.000 0.236 0.760
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 2 0.4265 0.59535 0.012 0.712 0.000 0.008 0.268
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.4242 0.27524 0.000 0.572 0.000 0.000 0.428
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.3366 0.60872 0.000 0.768 0.000 0.000 0.232
#> 2846A3AC-D102-4E37-9B72-139ED727157A 2 0.0613 0.72358 0.004 0.984 0.000 0.004 0.008
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.4240 0.64089 0.020 0.756 0.000 0.016 0.208
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 4 0.0510 0.73484 0.016 0.000 0.000 0.984 0.000
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.0510 0.85680 0.984 0.000 0.000 0.016 0.000
#> 150F5B77-4848-4D68-800A-0A0236C3661F 2 0.4907 0.16995 0.000 0.488 0.000 0.024 0.488
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 2 0.5095 0.61743 0.068 0.708 0.000 0.016 0.208
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.3039 0.64756 0.000 0.808 0.000 0.000 0.192
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.3508 0.58313 0.000 0.748 0.000 0.000 0.252
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 4 0.0510 0.73484 0.016 0.000 0.000 0.984 0.000
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 5 0.0162 0.63280 0.000 0.000 0.000 0.004 0.996
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.1200 0.72350 0.012 0.964 0.000 0.016 0.008
#> 1447B543-D3AC-41B5-878F-B382FE49421B 2 0.6344 0.50317 0.164 0.580 0.000 0.016 0.240
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 2 0.2889 0.71238 0.020 0.880 0.000 0.016 0.084
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 5 0.4800 0.23502 0.000 0.028 0.000 0.368 0.604
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.0000 0.98928 0.000 0.000 1.000 0.000 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 5 0.4656 -0.11528 0.000 0.012 0.000 0.480 0.508
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 5 0.5975 0.26585 0.000 0.124 0.000 0.344 0.532
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.0510 0.85680 0.984 0.000 0.000 0.016 0.000
#> D9225689-21E0-478A-8F79-C26542938B8D 5 0.0963 0.62971 0.000 0.000 0.000 0.036 0.964
#> FC3BA46D-57F6-424C-8D62-16C441035969 5 0.2230 0.60221 0.000 0.116 0.000 0.000 0.884
#> 045CFFE6-4736-42F2-9340-C37690E47882 3 0.0000 0.98928 0.000 0.000 1.000 0.000 0.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 1 0.6970 0.10746 0.412 0.008 0.000 0.296 0.284
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 2 0.4422 0.62140 0.020 0.732 0.000 0.016 0.232
#> E94B217F-C5DC-4F42-8135-E81F338914B5 5 0.3160 0.50369 0.000 0.004 0.000 0.188 0.808
#> AE4C3956-76DF-4059-8D69-3D764F31817F 2 0.2377 0.69448 0.000 0.872 0.000 0.000 0.128
#> 33D6A38E-CD99-437B-99E0-04E72582F777 5 0.4446 0.15816 0.000 0.008 0.000 0.400 0.592
#> 8379051C-5847-42B5-AC5C-A128C166AB97 4 0.4219 0.38100 0.000 0.000 0.000 0.584 0.416
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 4 0.4410 0.32016 0.000 0.004 0.000 0.556 0.440
#> 40A16429-229E-4F40-BFC7-263554438F99 5 0.2732 0.55618 0.000 0.160 0.000 0.000 0.840
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 5 0.0162 0.63280 0.000 0.000 0.000 0.004 0.996
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 5 0.0510 0.63307 0.000 0.000 0.000 0.016 0.984
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 4 0.5439 0.21079 0.048 0.004 0.000 0.484 0.464
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 4 0.4196 0.47813 0.000 0.004 0.000 0.640 0.356
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.1200 0.72461 0.008 0.964 0.000 0.016 0.012
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 5 0.4294 -0.06998 0.000 0.000 0.000 0.468 0.532
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 4 0.5308 0.25247 0.000 0.052 0.000 0.532 0.416
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 5 0.3677 0.62950 0.044 0.048 0.000 0.060 0.848
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.4302 0.14822 0.000 0.520 0.000 0.000 0.480
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 5 0.4307 -0.09661 0.000 0.496 0.000 0.000 0.504
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#> 50ECFB2A-FF9D-4A8A-91CB-3902D3B670A0 2 0.1815 0.72465 0.020 0.940 0.000 0.016 0.024
#> 755D805B-B9F4-41D3-ACA7-2BB599C3D529 2 0.1891 0.72836 0.016 0.936 0.000 0.016 0.032
#> 0BA34100-8588-47B5-A962-4BD1916645B6 4 0.4171 -0.03067 0.396 0.000 0.000 0.604 0.000
#> 9CE2E8D4-1AD1-4546-AD5D-D58193F79096 4 0.0510 0.73484 0.016 0.000 0.000 0.984 0.000
#> 92D7DB12-B0E0-4072-98FB-34B112E7728D 5 0.4661 0.16398 0.356 0.004 0.000 0.016 0.624
#> 79FD2101-0A9A-4EA7-A773-5EA8693138D0 2 0.1965 0.71020 0.000 0.904 0.000 0.000 0.096
#> A3A8937A-0B0B-4A68-AE68-81DA9CF7F4FB 4 0.0510 0.73484 0.016 0.000 0.000 0.984 0.000
#> 3EB3C0F8-4CBC-41A7-81E4-4D8A565441A7 4 0.0880 0.73838 0.000 0.000 0.000 0.968 0.032
#> 77EE3B54-FD7A-4ACF-879C-31667ADCCC5B 2 0.2424 0.68845 0.000 0.868 0.000 0.000 0.132
#> 327B2123-6DD8-4263-87DE-EE917E911DD4 4 0.3305 0.63078 0.000 0.000 0.000 0.776 0.224
#> 198A6AD0-79CD-40F5-A622-18AFBE78F2D2 1 0.0703 0.85366 0.976 0.000 0.000 0.024 0.000
#> EEE29DE1-F88C-4184-B499-5E86E2D252C4 4 0.1851 0.69283 0.088 0.000 0.000 0.912 0.000
#> 1E95EA22-BC41-4AAE-AFCC-F9281989A785 4 0.3596 0.54889 0.016 0.200 0.000 0.784 0.000
#> CD3AC0E4-88A9-4084-A2BE-AEE722CF6AA3 2 0.6855 0.14723 0.396 0.400 0.000 0.012 0.192
#> 8D7FABA2-764D-4795-BB04-D9E69E9792B9 1 0.0510 0.85680 0.984 0.000 0.000 0.016 0.000
#> DAC07889-EE06-46E0-B1F1-833ECC0A48A9 2 0.3210 0.62976 0.000 0.788 0.000 0.000 0.212
#> E7B555A3-567B-4A44-8225-D269E73FB50B 5 0.1124 0.62754 0.036 0.000 0.000 0.004 0.960
#> 3CC95101-C35F-4761-9D41-3C35BD55B37E 5 0.2536 0.59571 0.000 0.128 0.000 0.004 0.868
#> F62E5A69-5E81-4B2A-8CC0-F4D6E188B187 1 0.0510 0.85680 0.984 0.000 0.000 0.016 0.000
#> C650633B-A369-4657-8693-FDFBF22BD34E 5 0.1502 0.61792 0.056 0.000 0.000 0.004 0.940
#> 5E514217-F0DB-49FD-9C5D-EB22628ED297 5 0.3143 0.50958 0.000 0.204 0.000 0.000 0.796
#> 6E1DB9BF-06FE-48B1-A2D8-EF2CE7591364 2 0.0794 0.72466 0.000 0.972 0.000 0.000 0.028
#> C9581CE3-58B6-45B4-B4B7-15F555FD84A4 5 0.6461 0.09753 0.196 0.000 0.000 0.332 0.472
#> F56C26ED-9358-485B-8867-EBA1CAA4E2A7 2 0.1498 0.72341 0.024 0.952 0.000 0.016 0.008
#> 45CA3F9E-40EE-43A4-AE57-FE51D4003844 2 0.1544 0.72965 0.000 0.932 0.000 0.000 0.068
#> 47EFA063-19C1-4E1F-ACE8-68D9BAD0B995 2 0.5219 0.59006 0.052 0.680 0.000 0.020 0.248
#> 8C30EA0F-0DA1-43C7-81AE-DE825A53F114 5 0.4132 0.36635 0.260 0.000 0.000 0.020 0.720
#> 2CE7477C-DD09-4B3A-AD65-C696BE8C9B11 1 0.0510 0.85680 0.984 0.000 0.000 0.016 0.000
#> 4DECB19A-290F-4CEB-BE25-AAF9B9E2B58F 1 0.0510 0.85680 0.984 0.000 0.000 0.016 0.000
#> 3DEA9B14-DF42-43A0-AC4A-32AE7A16218D 5 0.3838 0.34336 0.000 0.280 0.000 0.004 0.716
#> 9F57D45B-C62F-44C5-AB9D-0CB54BBA16F5 5 0.0404 0.63574 0.000 0.012 0.000 0.000 0.988
#> 54ACCFD9-A8D6-4E4C-9097-1A0BE258AA1B 2 0.5154 0.60947 0.064 0.696 0.000 0.016 0.224
#> 9EE67DE9-9B56-4773-8F6A-1036D31F568E 4 0.4307 0.15747 0.000 0.000 0.000 0.504 0.496
#> 1B1C9301-D6D6-4F6B-80A3-3603013AA951 5 0.0912 0.63588 0.000 0.012 0.000 0.016 0.972
#> DDDCDF00-FB0A-477B-891B-2EE5E0C8F61E 3 0.0000 0.98928 0.000 0.000 1.000 0.000 0.000
#> 34A3260D-AC4D-416F-ADF0-24013048BC46 2 0.2395 0.72233 0.024 0.912 0.000 0.016 0.048
#> 671C1840-9C1B-4AC1-9564-78802489F763 1 0.1845 0.83192 0.928 0.056 0.000 0.016 0.000
#> BA4F7841-9FC3-4CE6-ACA5-43FC36641640 2 0.1306 0.72383 0.016 0.960 0.000 0.016 0.008
#> 24A02CE5-28E7-457E-8B90-4EACA528B072 1 0.2293 0.81272 0.900 0.084 0.000 0.016 0.000
#> C7008665-F6DE-48B4-A0E7-6C388B72C609 2 0.3003 0.64903 0.000 0.812 0.000 0.000 0.188
#> 50F984AB-95C1-4D7B-A787-418CBB59D165 4 0.3534 0.60283 0.000 0.000 0.000 0.744 0.256
#> 5FFD2A6A-ED8A-44A9-9FC1-3106341C284A 2 0.4283 0.21488 0.000 0.544 0.000 0.000 0.456
#> 7481630E-5CBA-4A4A-A16F-E327BCEE11D3 2 0.6301 0.36228 0.148 0.512 0.000 0.004 0.336
#> 7B3E6643-C148-4266-A3A3-80BAB713DD3E 2 0.3336 0.62506 0.000 0.772 0.000 0.000 0.228
#> BA8564FA-8D4D-4B2F-A178-63209F887A05 5 0.6494 0.18052 0.256 0.252 0.000 0.000 0.492
#> 2FB578F6-E8B7-434D-9720-D448A26C1EFD 1 0.2408 0.80721 0.892 0.092 0.000 0.016 0.000
#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 2 0.1405 0.72345 0.020 0.956 0.000 0.016 0.008
#> 740FCE46-8A4A-4A6A-B79F-78A63D28E313 2 0.3210 0.63808 0.000 0.788 0.000 0.000 0.212
#> 523A5832-0C42-44A4-A58F-7011C3A567DC 3 0.0000 0.98928 0.000 0.000 1.000 0.000 0.000
#> A2C68C81-7371-4E0C-BFD1-EA868A7C9499 2 0.0865 0.72555 0.000 0.972 0.000 0.004 0.024
#> 2EB7025A-D932-4238-BD60-609B25150029 5 0.3597 0.57382 0.116 0.008 0.000 0.044 0.832
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 5 0.4283 -0.10324 0.000 0.456 0.000 0.000 0.544
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 2 0.0613 0.72358 0.004 0.984 0.000 0.004 0.008
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 2 0.1197 0.73017 0.000 0.952 0.000 0.000 0.048
#> F081EA01-ED14-491B-9620-BF8F10A7431D 5 0.0609 0.63229 0.000 0.000 0.000 0.020 0.980
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 2 0.0854 0.72442 0.004 0.976 0.000 0.008 0.012
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 5 0.5728 0.42508 0.184 0.004 0.000 0.172 0.640
#> B54639CE-F721-4908-B758-309F148AD3C2 5 0.1952 0.63396 0.000 0.084 0.000 0.004 0.912
#> EB4294E1-3FBC-495C-A041-829A654B59C5 3 0.0000 0.98928 0.000 0.000 1.000 0.000 0.000
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 2 0.4913 0.62306 0.056 0.720 0.000 0.016 0.208
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.3336 0.61221 0.000 0.772 0.000 0.000 0.228
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 1 0.2464 0.80384 0.888 0.096 0.000 0.016 0.000
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.3177 0.63420 0.000 0.792 0.000 0.000 0.208
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 1 0.7042 0.27444 0.436 0.308 0.000 0.016 0.240
#> D34036E4-1122-42AE-B20F-F4C8515872A0 2 0.2516 0.68514 0.000 0.860 0.000 0.000 0.140
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 5 0.2929 0.53846 0.000 0.180 0.000 0.000 0.820
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 4 0.0510 0.73484 0.016 0.000 0.000 0.984 0.000
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 3 0.0000 0.98928 0.000 0.000 1.000 0.000 0.000
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.1671 0.71366 0.000 0.924 0.000 0.000 0.076
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.3143 0.63790 0.000 0.796 0.000 0.000 0.204
#> F3C13430-405E-432E-8F3E-0DD18E86087E 2 0.4422 0.62140 0.020 0.732 0.000 0.016 0.232
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.1851 0.71904 0.000 0.912 0.000 0.000 0.088
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 2 0.4532 0.60565 0.020 0.716 0.000 0.016 0.248
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.3196 0.65585 0.000 0.804 0.000 0.004 0.192
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.4262 0.24847 0.000 0.560 0.000 0.000 0.440
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 2 0.4410 0.58403 0.016 0.700 0.000 0.008 0.276
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.1306 0.72383 0.016 0.960 0.000 0.016 0.008
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.4296 0.60655 0.720 0.256 0.000 0.012 0.012
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 4 0.1117 0.73615 0.020 0.000 0.000 0.964 0.016
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 2 0.5811 0.53519 0.032 0.644 0.000 0.076 0.248
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 5 0.0566 0.63589 0.000 0.012 0.000 0.004 0.984
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.0000 0.98928 0.000 0.000 1.000 0.000 0.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.0000 0.98928 0.000 0.000 1.000 0.000 0.000
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 2 0.2648 0.68221 0.000 0.848 0.000 0.000 0.152
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 2 0.4088 0.59913 0.008 0.712 0.000 0.004 0.276
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.1179 0.72286 0.016 0.964 0.000 0.016 0.004
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 4 0.3074 0.66198 0.000 0.000 0.000 0.804 0.196
#> 343F031B-0095-429D-8212-AD0581DBB05B 4 0.0566 0.73644 0.012 0.000 0.000 0.984 0.004
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 5 0.4306 -0.22941 0.000 0.492 0.000 0.000 0.508
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.3424 0.66202 0.760 0.000 0.000 0.240 0.000
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 4 0.5986 0.23438 0.000 0.124 0.000 0.528 0.348
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 2 0.3966 0.52884 0.000 0.664 0.000 0.000 0.336
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 2 0.4272 0.63794 0.020 0.752 0.000 0.016 0.212
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.1518 0.72404 0.020 0.952 0.000 0.016 0.012
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.2914 0.72972 0.012 0.872 0.000 0.016 0.100
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.2966 0.64580 0.000 0.816 0.000 0.000 0.184
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.0000 0.98928 0.000 0.000 1.000 0.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.0510 0.85680 0.984 0.000 0.000 0.016 0.000
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.0000 0.98928 0.000 0.000 1.000 0.000 0.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 4 0.4562 0.08477 0.000 0.008 0.000 0.496 0.496
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.0000 0.98928 0.000 0.000 1.000 0.000 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.3480 0.58761 0.000 0.752 0.000 0.000 0.248
#> FC7821F4-6495-4545-A22A-764BB99B3F79 2 0.4269 0.68827 0.116 0.796 0.000 0.016 0.072
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.2516 0.68536 0.000 0.860 0.000 0.000 0.140
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 5 0.4088 0.18803 0.000 0.368 0.000 0.000 0.632
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 5 0.4397 0.39728 0.000 0.276 0.000 0.028 0.696
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.1341 0.72018 0.000 0.944 0.000 0.000 0.056
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 2 0.5536 0.58081 0.084 0.660 0.000 0.016 0.240
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 5 0.4659 -0.06063 0.000 0.012 0.000 0.488 0.500
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.1787 0.72370 0.032 0.940 0.000 0.016 0.012
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0000 0.98928 0.000 0.000 1.000 0.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 5 0.5901 0.22774 0.000 0.116 0.000 0.344 0.540
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.4651 0.32687 0.008 0.560 0.000 0.004 0.428
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 4 0.4430 0.62368 0.076 0.000 0.000 0.752 0.172
#> BEE081CA-8420-4314-88A0-286BB30FFD65 5 0.6482 0.00724 0.188 0.000 0.000 0.372 0.440
#> C464CD1D-4519-48E8-A18A-403F691E5702 2 0.6522 0.28094 0.156 0.476 0.000 0.008 0.360
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.0510 0.85680 0.984 0.000 0.000 0.016 0.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 5 0.1732 0.61502 0.000 0.000 0.000 0.080 0.920
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.3074 0.64334 0.000 0.804 0.000 0.000 0.196
#> A563359B-0D55-4826-9229-62A89143C1C6 5 0.4675 0.15345 0.360 0.004 0.000 0.016 0.620
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 2 0.4713 0.63499 0.044 0.732 0.000 0.016 0.208
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 5 0.2664 0.769345 0.000 0.136 0.000 0.000 0.848 0.016
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 6 0.2613 0.797028 0.000 0.068 0.000 0.032 0.016 0.884
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 5 0.5095 0.473975 0.000 0.368 0.000 0.000 0.544 0.088
#> 91202998-760F-4421-B1C4-18639962EDDA 4 0.0000 0.839153 0.000 0.000 0.000 1.000 0.000 0.000
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 5 0.6049 0.283409 0.000 0.268 0.000 0.000 0.408 0.324
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 6 0.1913 0.805369 0.000 0.080 0.000 0.012 0.000 0.908
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 6 0.3000 0.720011 0.000 0.004 0.000 0.156 0.016 0.824
#> 54337CE9-6F12-4712-8131-4B83F3216343 6 0.5523 0.308052 0.000 0.360 0.000 0.000 0.140 0.500
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 6 0.4026 0.683516 0.000 0.348 0.000 0.000 0.016 0.636
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.2902 0.730852 0.000 0.800 0.000 0.000 0.196 0.004
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 4 0.5073 0.373532 0.000 0.052 0.000 0.568 0.016 0.364
#> 784B2359-6064-4FAA-9311-7A852F061FBB 6 0.3915 0.424303 0.288 0.004 0.000 0.016 0.000 0.692
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 2 0.1471 0.834041 0.000 0.932 0.000 0.000 0.064 0.004
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 5 0.5190 0.411341 0.208 0.008 0.000 0.000 0.640 0.144
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0000 0.991533 0.000 0.000 1.000 0.000 0.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.3868 -0.064888 0.000 0.508 0.000 0.000 0.492 0.000
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.0000 0.828143 1.000 0.000 0.000 0.000 0.000 0.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 6 0.1946 0.803365 0.000 0.072 0.000 0.012 0.004 0.912
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 6 0.1982 0.803669 0.000 0.068 0.000 0.016 0.004 0.912
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.2896 0.772137 0.824 0.000 0.000 0.000 0.160 0.016
#> D7A50E95-777C-47A6-8F93-031CB4770633 5 0.3092 0.769172 0.044 0.088 0.000 0.000 0.852 0.016
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.2320 0.801877 0.000 0.864 0.000 0.000 0.132 0.004
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 5 0.2201 0.769048 0.000 0.048 0.000 0.000 0.900 0.052
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 4 0.0000 0.839153 0.000 0.000 0.000 1.000 0.000 0.000
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.3965 0.073873 0.000 0.604 0.000 0.000 0.008 0.388
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 6 0.3074 0.802145 0.000 0.200 0.000 0.004 0.004 0.792
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.1556 0.830636 0.000 0.920 0.000 0.000 0.080 0.000
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#> B6ABDBC3-519A-4FAC-8816-995A9482506E 4 0.2664 0.725361 0.000 0.000 0.000 0.848 0.016 0.136
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 5 0.4223 0.429487 0.000 0.004 0.000 0.016 0.612 0.368
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 6 0.3271 0.760868 0.000 0.232 0.000 0.000 0.008 0.760
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.0000 0.991533 0.000 0.000 1.000 0.000 0.000 0.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.0000 0.991533 0.000 0.000 1.000 0.000 0.000 0.000
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 2 0.1970 0.827691 0.000 0.900 0.000 0.000 0.092 0.008
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 6 0.4332 0.532010 0.000 0.048 0.000 0.000 0.288 0.664
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 5 0.2527 0.750018 0.000 0.168 0.000 0.000 0.832 0.000
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 4 0.4121 0.245333 0.000 0.000 0.000 0.604 0.016 0.380
#> 343F031B-0095-429D-8212-AD0581DBB05B 4 0.0000 0.839153 0.000 0.000 0.000 1.000 0.000 0.000
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 6 0.4515 0.711809 0.000 0.280 0.000 0.000 0.064 0.656
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.3620 0.391741 0.648 0.000 0.000 0.352 0.000 0.000
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 6 0.2714 0.791085 0.000 0.064 0.000 0.060 0.004 0.872
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 6 0.4721 0.169059 0.000 0.048 0.000 0.000 0.420 0.532
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 5 0.2450 0.774094 0.000 0.116 0.000 0.000 0.868 0.016
#> F9F33C38-A087-49FF-B994-3C9EE264F448 5 0.2278 0.770153 0.000 0.128 0.000 0.000 0.868 0.004
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 5 0.3884 0.691641 0.000 0.240 0.000 0.000 0.724 0.036
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.3231 0.723567 0.000 0.784 0.000 0.000 0.016 0.200
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.0000 0.991533 0.000 0.000 1.000 0.000 0.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.0000 0.828143 1.000 0.000 0.000 0.000 0.000 0.000
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.0000 0.991533 0.000 0.000 1.000 0.000 0.000 0.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 6 0.2699 0.797020 0.000 0.068 0.000 0.032 0.020 0.880
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.0000 0.991533 0.000 0.000 1.000 0.000 0.000 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.2311 0.824321 0.000 0.880 0.000 0.000 0.104 0.016
#> FC7821F4-6495-4545-A22A-764BB99B3F79 5 0.2468 0.775267 0.008 0.096 0.000 0.000 0.880 0.016
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.1245 0.818060 0.000 0.952 0.000 0.000 0.016 0.032
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 6 0.3773 0.791620 0.000 0.204 0.000 0.000 0.044 0.752
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 6 0.3217 0.793922 0.000 0.224 0.000 0.000 0.008 0.768
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.2762 0.735038 0.000 0.804 0.000 0.000 0.196 0.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 5 0.2062 0.753619 0.008 0.004 0.000 0.000 0.900 0.088
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 6 0.2681 0.797953 0.000 0.072 0.000 0.028 0.020 0.880
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 5 0.2416 0.758226 0.000 0.156 0.000 0.000 0.844 0.000
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0000 0.991533 0.000 0.000 1.000 0.000 0.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 6 0.4125 0.798124 0.000 0.208 0.000 0.028 0.024 0.740
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 6 0.3646 0.747594 0.000 0.172 0.000 0.000 0.052 0.776
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 6 0.4449 0.090535 0.028 0.000 0.000 0.440 0.000 0.532
#> BEE081CA-8420-4314-88A0-286BB30FFD65 6 0.1832 0.777485 0.032 0.008 0.000 0.032 0.000 0.928
#> C464CD1D-4519-48E8-A18A-403F691E5702 6 0.6180 0.401965 0.140 0.020 0.000 0.016 0.280 0.544
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.0000 0.828143 1.000 0.000 0.000 0.000 0.000 0.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 6 0.2482 0.787404 0.000 0.148 0.000 0.000 0.004 0.848
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.2692 0.792397 0.000 0.840 0.000 0.000 0.148 0.012
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.4640 0.229734 0.532 0.024 0.000 0.004 0.004 0.436
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 5 0.1078 0.754941 0.008 0.012 0.000 0.000 0.964 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["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 17109 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 4.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.687 0.852 0.932 0.4062 0.562 0.562
#> 3 3 0.699 0.776 0.909 0.5377 0.689 0.501
#> 4 4 0.847 0.863 0.944 0.1361 0.815 0.562
#> 5 5 0.670 0.671 0.831 0.0760 0.874 0.618
#> 6 6 0.685 0.648 0.787 0.0634 0.855 0.492
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 4
Following shows the table of the partitions (You need to click the show/hide
code output link to see it). The membership matrix (columns with name p*)
is inferred by
clue::cl_consensus()
function with the SE method. Basically the value in the membership matrix
represents the probability to belong to a certain group. The finall class
label for an item is determined with the group with highest probability it
belongs to.
In get_classes() function, the entropy is calculated from the membership
matrix and the silhouette score is calculated from the consensus matrix.
cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#> class entropy silhouette p1 p2
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.0000 0.96178 0.000 1.000
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 2 0.0000 0.96178 0.000 1.000
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 2 0.0000 0.96178 0.000 1.000
#> 91202998-760F-4421-B1C4-18639962EDDA 1 0.9922 0.42880 0.552 0.448
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.0000 0.96178 0.000 1.000
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 2 0.0000 0.96178 0.000 1.000
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 2 0.0000 0.96178 0.000 1.000
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.0000 0.96178 0.000 1.000
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.0000 0.96178 0.000 1.000
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.0000 0.96178 0.000 1.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 2 0.9460 0.26670 0.364 0.636
#> 784B2359-6064-4FAA-9311-7A852F061FBB 1 0.0000 0.83759 1.000 0.000
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 2 0.0000 0.96178 0.000 1.000
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 1 0.9460 0.60303 0.636 0.364
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 1 0.0000 0.83759 1.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.0000 0.96178 0.000 1.000
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.2778 0.83006 0.952 0.048
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 2 0.0000 0.96178 0.000 1.000
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 2 0.0000 0.96178 0.000 1.000
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.0000 0.83759 1.000 0.000
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.0000 0.96178 0.000 1.000
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.0000 0.96178 0.000 1.000
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 2 0.0000 0.96178 0.000 1.000
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 1 0.9608 0.57232 0.616 0.384
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.0000 0.96178 0.000 1.000
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 2 0.0000 0.96178 0.000 1.000
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.0000 0.96178 0.000 1.000
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.0000 0.96178 0.000 1.000
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 1 0.0000 0.83759 1.000 0.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.0000 0.96178 0.000 1.000
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 2 0.0000 0.96178 0.000 1.000
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 2 0.0000 0.96178 0.000 1.000
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.0000 0.96178 0.000 1.000
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.0000 0.96178 0.000 1.000
#> 2846A3AC-D102-4E37-9B72-139ED727157A 2 0.0000 0.96178 0.000 1.000
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.0000 0.96178 0.000 1.000
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 1 0.7453 0.77142 0.788 0.212
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.5842 0.80540 0.860 0.140
#> 150F5B77-4848-4D68-800A-0A0236C3661F 2 0.0000 0.96178 0.000 1.000
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.9710 0.54456 0.600 0.400
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.0000 0.96178 0.000 1.000
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.0000 0.96178 0.000 1.000
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 1 0.7453 0.77141 0.788 0.212
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 2 0.2043 0.92825 0.032 0.968
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.0000 0.96178 0.000 1.000
#> 1447B543-D3AC-41B5-878F-B382FE49421B 2 0.0000 0.96178 0.000 1.000
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 2 0.0000 0.96178 0.000 1.000
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 2 0.0000 0.96178 0.000 1.000
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 1 0.0000 0.83759 1.000 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 2 0.0000 0.96178 0.000 1.000
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 2 0.0000 0.96178 0.000 1.000
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.0000 0.83759 1.000 0.000
#> D9225689-21E0-478A-8F79-C26542938B8D 2 0.0376 0.95775 0.004 0.996
#> FC3BA46D-57F6-424C-8D62-16C441035969 2 0.0000 0.96178 0.000 1.000
#> 045CFFE6-4736-42F2-9340-C37690E47882 1 0.0000 0.83759 1.000 0.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 1 0.9552 0.58514 0.624 0.376
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 2 0.0000 0.96178 0.000 1.000
#> E94B217F-C5DC-4F42-8135-E81F338914B5 2 0.0000 0.96178 0.000 1.000
#> AE4C3956-76DF-4059-8D69-3D764F31817F 2 0.0000 0.96178 0.000 1.000
#> 33D6A38E-CD99-437B-99E0-04E72582F777 2 0.0000 0.96178 0.000 1.000
#> 8379051C-5847-42B5-AC5C-A128C166AB97 2 0.0000 0.96178 0.000 1.000
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 2 0.0000 0.96178 0.000 1.000
#> 40A16429-229E-4F40-BFC7-263554438F99 2 0.0000 0.96178 0.000 1.000
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 2 0.0000 0.96178 0.000 1.000
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 2 0.0000 0.96178 0.000 1.000
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 2 0.9954 -0.12410 0.460 0.540
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 2 0.0000 0.96178 0.000 1.000
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.0000 0.96178 0.000 1.000
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 2 0.0000 0.96178 0.000 1.000
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 2 0.0000 0.96178 0.000 1.000
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 2 0.0000 0.96178 0.000 1.000
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.0000 0.96178 0.000 1.000
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 2 0.0000 0.96178 0.000 1.000
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 2 0.0000 0.96178 0.000 1.000
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 2 0.0000 0.96178 0.000 1.000
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 2 0.0000 0.96178 0.000 1.000
#> FDB47AC4-CE6A-428B-9B55-EBCEF1970ACB 2 0.0000 0.96178 0.000 1.000
#> 133B7E7B-FD50-48A2-9A35-E6D44FAB976B 2 0.0000 0.96178 0.000 1.000
#> E69E45DA-66A6-438A-9BFC-5F1F7F5C5A87 2 0.7883 0.61158 0.236 0.764
#> 6E242DF5-8B8B-4C6F-870E-C7ADFFAFDF3E 2 0.0000 0.96178 0.000 1.000
#> CB7BBFF1-4BF3-42A9-85C6-680D91503799 2 0.0000 0.96178 0.000 1.000
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#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 1 0.9710 0.54456 0.600 0.400
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.0000 0.96178 0.000 1.000
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 1 0.0000 0.83759 1.000 0.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 1 0.0000 0.83759 1.000 0.000
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 2 0.0000 0.96178 0.000 1.000
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 2 0.0000 0.96178 0.000 1.000
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.0000 0.96178 0.000 1.000
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 2 0.0000 0.96178 0.000 1.000
#> 343F031B-0095-429D-8212-AD0581DBB05B 2 0.9866 -0.00292 0.432 0.568
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 2 0.0000 0.96178 0.000 1.000
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.7219 0.78021 0.800 0.200
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 2 0.0000 0.96178 0.000 1.000
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 2 0.0000 0.96178 0.000 1.000
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 2 0.0000 0.96178 0.000 1.000
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.0000 0.96178 0.000 1.000
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.0000 0.96178 0.000 1.000
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.0000 0.96178 0.000 1.000
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 1 0.0000 0.83759 1.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.0000 0.83759 1.000 0.000
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 1 0.0000 0.83759 1.000 0.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 2 0.0000 0.96178 0.000 1.000
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 1 0.0000 0.83759 1.000 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.0000 0.96178 0.000 1.000
#> FC7821F4-6495-4545-A22A-764BB99B3F79 1 0.6048 0.80276 0.852 0.148
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.0000 0.96178 0.000 1.000
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.0000 0.96178 0.000 1.000
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.0000 0.96178 0.000 1.000
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.0000 0.96178 0.000 1.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 2 0.1184 0.94537 0.016 0.984
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 2 0.0000 0.96178 0.000 1.000
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.0000 0.96178 0.000 1.000
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 1 0.0000 0.83759 1.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 2 0.2948 0.90509 0.052 0.948
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.0000 0.96178 0.000 1.000
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 1 0.4562 0.81870 0.904 0.096
#> BEE081CA-8420-4314-88A0-286BB30FFD65 2 0.5408 0.81077 0.124 0.876
#> C464CD1D-4519-48E8-A18A-403F691E5702 1 0.9922 0.42894 0.552 0.448
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.0000 0.83759 1.000 0.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.0000 0.96178 0.000 1.000
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0000 0.96178 0.000 1.000
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.0000 0.83759 1.000 0.000
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.9754 0.52771 0.592 0.408
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.0000 0.9093 0.000 1.000 0.000
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 1 0.0237 0.8526 0.996 0.004 0.000
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 2 0.0000 0.9093 0.000 1.000 0.000
#> 91202998-760F-4421-B1C4-18639962EDDA 1 0.0000 0.8540 1.000 0.000 0.000
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.0000 0.9093 0.000 1.000 0.000
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 1 0.6192 0.3245 0.580 0.420 0.000
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 1 0.0000 0.8540 1.000 0.000 0.000
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.6140 0.2586 0.404 0.596 0.000
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.3412 0.7972 0.124 0.876 0.000
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.0000 0.9093 0.000 1.000 0.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 1 0.0000 0.8540 1.000 0.000 0.000
#> 784B2359-6064-4FAA-9311-7A852F061FBB 1 0.5760 0.4714 0.672 0.000 0.328
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 2 0.0000 0.9093 0.000 1.000 0.000
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 3 0.7223 0.2985 0.028 0.424 0.548
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0000 0.8966 0.000 0.000 1.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.0000 0.9093 0.000 1.000 0.000
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 3 0.6244 0.2940 0.440 0.000 0.560
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 1 0.5216 0.6359 0.740 0.260 0.000
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 1 0.5678 0.5470 0.684 0.316 0.000
#> A08E2707-DDB0-40FE-828F-14720768FB05 3 0.4953 0.7632 0.016 0.176 0.808
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.4702 0.7074 0.212 0.788 0.000
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.0000 0.9093 0.000 1.000 0.000
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 2 0.0892 0.8951 0.020 0.980 0.000
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 1 0.0000 0.8540 1.000 0.000 0.000
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.0000 0.9093 0.000 1.000 0.000
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 1 0.6008 0.4409 0.628 0.372 0.000
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.0000 0.9093 0.000 1.000 0.000
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.0000 0.9093 0.000 1.000 0.000
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.0000 0.8966 0.000 0.000 1.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.0000 0.9093 0.000 1.000 0.000
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 1 0.6168 0.3459 0.588 0.412 0.000
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 2 0.0237 0.9068 0.004 0.996 0.000
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.4178 0.7297 0.172 0.828 0.000
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.0000 0.9093 0.000 1.000 0.000
#> 2846A3AC-D102-4E37-9B72-139ED727157A 2 0.0000 0.9093 0.000 1.000 0.000
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.0237 0.9066 0.004 0.996 0.000
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 1 0.0000 0.8540 1.000 0.000 0.000
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 3 0.6295 0.2248 0.472 0.000 0.528
#> 150F5B77-4848-4D68-800A-0A0236C3661F 1 0.6095 0.4045 0.608 0.392 0.000
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 2 0.9514 -0.0862 0.192 0.444 0.364
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.0000 0.9093 0.000 1.000 0.000
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.0000 0.9093 0.000 1.000 0.000
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 1 0.0000 0.8540 1.000 0.000 0.000
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 2 0.0000 0.9093 0.000 1.000 0.000
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.0000 0.9093 0.000 1.000 0.000
#> 1447B543-D3AC-41B5-878F-B382FE49421B 1 0.0000 0.8540 1.000 0.000 0.000
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 2 0.1031 0.8919 0.024 0.976 0.000
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 1 0.4504 0.7125 0.804 0.196 0.000
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.0000 0.8966 0.000 0.000 1.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 1 0.2165 0.8195 0.936 0.064 0.000
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 1 0.5560 0.5744 0.700 0.300 0.000
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 3 0.3116 0.8344 0.108 0.000 0.892
#> D9225689-21E0-478A-8F79-C26542938B8D 2 0.6129 0.4581 0.324 0.668 0.008
#> FC3BA46D-57F6-424C-8D62-16C441035969 2 0.0000 0.9093 0.000 1.000 0.000
#> 045CFFE6-4736-42F2-9340-C37690E47882 3 0.0000 0.8966 0.000 0.000 1.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 1 0.0000 0.8540 1.000 0.000 0.000
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 2 0.6180 0.2622 0.416 0.584 0.000
#> E94B217F-C5DC-4F42-8135-E81F338914B5 2 0.6062 0.3151 0.384 0.616 0.000
#> AE4C3956-76DF-4059-8D69-3D764F31817F 2 0.0000 0.9093 0.000 1.000 0.000
#> 33D6A38E-CD99-437B-99E0-04E72582F777 1 0.5058 0.6586 0.756 0.244 0.000
#> 8379051C-5847-42B5-AC5C-A128C166AB97 1 0.0000 0.8540 1.000 0.000 0.000
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 1 0.1289 0.8393 0.968 0.032 0.000
#> 40A16429-229E-4F40-BFC7-263554438F99 2 0.1643 0.8755 0.044 0.956 0.000
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 2 0.0000 0.9093 0.000 1.000 0.000
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 1 0.3879 0.7522 0.848 0.152 0.000
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 1 0.0000 0.8540 1.000 0.000 0.000
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 1 0.0000 0.8540 1.000 0.000 0.000
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.0000 0.9093 0.000 1.000 0.000
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 1 0.0000 0.8540 1.000 0.000 0.000
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 1 0.4555 0.7088 0.800 0.200 0.000
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 2 0.0000 0.9093 0.000 1.000 0.000
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.0000 0.9093 0.000 1.000 0.000
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 2 0.0000 0.9093 0.000 1.000 0.000
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 1 0.0000 0.8540 1.000 0.000 0.000
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 2 0.0000 0.9093 0.000 1.000 0.000
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 2 0.5988 0.3574 0.368 0.632 0.000
#> FDB47AC4-CE6A-428B-9B55-EBCEF1970ACB 1 0.1643 0.8324 0.956 0.044 0.000
#> 133B7E7B-FD50-48A2-9A35-E6D44FAB976B 2 0.0892 0.8956 0.020 0.980 0.000
#> E69E45DA-66A6-438A-9BFC-5F1F7F5C5A87 1 0.0000 0.8540 1.000 0.000 0.000
#> 6E242DF5-8B8B-4C6F-870E-C7ADFFAFDF3E 2 0.0237 0.9067 0.004 0.996 0.000
#> CB7BBFF1-4BF3-42A9-85C6-680D91503799 1 0.0000 0.8540 1.000 0.000 0.000
#> 70AA4670-C75B-4E39-8958-3F9C29811871 2 0.0000 0.9093 0.000 1.000 0.000
#> D63C5178-4FF7-4FD0-B87E-6CBF6E7BEF5B 2 0.0000 0.9093 0.000 1.000 0.000
#> 814391F8-C5B9-43F6-A330-A6749BB8F16E 1 0.0000 0.8540 1.000 0.000 0.000
#> 146ED7EA-BF3C-4BAB-B33C-0A668AB13C80 1 0.0000 0.8540 1.000 0.000 0.000
#> FD5CAFE8-E669-406A-A505-A47DCDC32E93 1 0.0424 0.8511 0.992 0.008 0.000
#> 4B3C7910-A652-45B5-8218-9002EB0FD9EB 2 0.0000 0.9093 0.000 1.000 0.000
#> E410F77D-E31F-4D73-ACAC-9245935A92F5 2 0.8504 0.4162 0.172 0.612 0.216
#> 64336403-9037-480C-873A-67BC77119FA5 2 0.0000 0.9093 0.000 1.000 0.000
#> 6F9D5013-3B1B-41EE-85DB-E51F5D828DEF 1 0.0000 0.8540 1.000 0.000 0.000
#> 155AEBBD-1C12-4F88-90C7-1C7FF7E3FB2C 1 0.2356 0.8141 0.928 0.072 0.000
#> D28DDCAA-682C-451F-8327-D2C2AFB044E2 2 0.0000 0.9093 0.000 1.000 0.000
#> 171523DC-2713-4EBF-A115-53A0BA174545 3 0.0000 0.8966 0.000 0.000 1.000
#> FD223304-87BA-4462-A5E5-01AB8C018C35 1 0.6168 0.1789 0.588 0.000 0.412
#> D8E06D8A-9063-4466-A3B0-7724F4737C7A 1 0.3192 0.7846 0.888 0.112 0.000
#> FFA5FFF7-6301-4CD8-8E63-A4D8294D1B0E 2 0.0237 0.9068 0.004 0.996 0.000
#> AF3648D6-C774-48CC-9428-ADC00402A562 3 0.0000 0.8966 0.000 0.000 1.000
#> BD406B65-B715-444E-95B4-F38D05BAC863 1 0.0000 0.8540 1.000 0.000 0.000
#> 6DB67CA1-0BEB-4585-9867-40E7C8A96D55 2 0.0000 0.9093 0.000 1.000 0.000
#> 49C9DE1D-784D-405A-9DD3-C4D2890D0309 2 0.9929 -0.1332 0.296 0.392 0.312
#> 05EC4D30-D34E-4497-B4F4-80AEDC2E70DF 3 0.1964 0.8719 0.056 0.000 0.944
#> CB69E76B-7CD3-49EF-9ADF-75701FE1D0A8 1 0.0000 0.8540 1.000 0.000 0.000
#> 103C6E25-A69A-460E-81C0-7437547E1334 2 0.0000 0.9093 0.000 1.000 0.000
#> 2D986DB0-B5A8-42E8-ACB8-926A16FAABD6 2 0.0000 0.9093 0.000 1.000 0.000
#> 1B9A0F24-8A3F-4693-B09C-5F0EFE5A32A5 2 0.0237 0.9066 0.004 0.996 0.000
#> C064D1FE-753E-4493-907C-C5FFE19F9875 2 0.0000 0.9093 0.000 1.000 0.000
#> 71596860-AEFA-4B94-8ADE-AC33CEA24DD4 2 0.0000 0.9093 0.000 1.000 0.000
#> E9A3A454-AB4D-4683-B276-84DA43792DBB 1 0.0000 0.8540 1.000 0.000 0.000
#> C5717869-8413-4810-A042-32E949AD3B0A 1 0.0237 0.8521 0.996 0.000 0.004
#> F36B393E-859C-49F8-BDF4-ED2CEF4C6307 1 0.0000 0.8540 1.000 0.000 0.000
#> 4CC9D3F9-983F-4CB2-91F1-0FBB86D53DC3 2 0.0000 0.9093 0.000 1.000 0.000
#> D450F074-CA68-49CE-B0B3-F81A91D54867 2 0.6260 0.1339 0.000 0.552 0.448
#> 2BBD504E-FE90-4142-9204-0E33B6B56C7E 2 0.0000 0.9093 0.000 1.000 0.000
#> 1A457CBF-24DA-44F1-B9ED-F26B8D1245D4 2 0.6252 0.1307 0.444 0.556 0.000
#> F29B5A39-866E-4C9D-BC26-B726FEA5F576 1 0.6111 0.3248 0.604 0.396 0.000
#> 89A4972A-8C91-4272-96BE-BCA9BC447780 2 0.0000 0.9093 0.000 1.000 0.000
#> 70B014FD-A0D0-418C-B55F-D09BAE213D52 2 0.0000 0.9093 0.000 1.000 0.000
#> 8139F417-0548-40B4-851F-A4E149A2E06A 2 0.6045 0.3556 0.380 0.620 0.000
#> 6E9F0021-FA91-4516-9B04-6A978034CECF 1 0.0000 0.8540 1.000 0.000 0.000
#> 49DAF1CD-8E20-433B-91A7-8C885ACB21A5 1 0.6305 0.0604 0.516 0.484 0.000
#> 093765A6-145C-47C3-B87B-4560CD632B4C 2 0.0000 0.9093 0.000 1.000 0.000
#> 90731001-45B2-4601-93F5-064BDD519A30 3 0.0000 0.8966 0.000 0.000 1.000
#> 40BCB65D-BC26-4FEF-941F-6F4A42D475EB 2 0.0000 0.9093 0.000 1.000 0.000
#> 204317C4-B927-4CAC-AADF-E16D19410ADB 2 0.5591 0.5069 0.304 0.696 0.000
#> 1023707A-D6DE-432A-AD2D-2318C3F91FA2 2 0.0000 0.9093 0.000 1.000 0.000
#> 06F79E8E-50E3-485A-82E9-C7CD4C72333B 2 0.0000 0.9093 0.000 1.000 0.000
#> BFAF5464-D239-4A03-AC34-984DEBA84451 2 0.0000 0.9093 0.000 1.000 0.000
#> 96C7C73E-F3E1-4937-A267-B7DAAD8EDE37 1 0.0237 0.8526 0.996 0.004 0.000
#> 1D94B33B-9A3F-40BA-90AF-5248ED058C6F 2 0.0000 0.9093 0.000 1.000 0.000
#> 3407B68D-0277-465B-8819-10FAE3EE6572 3 0.0000 0.8966 0.000 0.000 1.000
#> 868CD0D0-1CB4-4F61-B4ED-EB0C93DD950F 2 0.6308 -0.0502 0.492 0.508 0.000
#> 823383C2-6F4D-4C0C-8640-3981A7ED1226 2 0.9824 -0.1510 0.248 0.404 0.348
#> 95B76301-6382-4F6E-9E09-60EEFEEA03D5 2 0.0000 0.9093 0.000 1.000 0.000
#> 50A46A4F-883E-4DAA-BD16-FCCC5FA3FCD9 2 0.0000 0.9093 0.000 1.000 0.000
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#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 1 0.0000 0.8540 1.000 0.000 0.000
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.0000 0.9093 0.000 1.000 0.000
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0000 0.8966 0.000 0.000 1.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 1 0.2448 0.7983 0.924 0.076 0.000
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 1 0.6168 0.3464 0.588 0.412 0.000
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 1 0.0000 0.8540 1.000 0.000 0.000
#> BEE081CA-8420-4314-88A0-286BB30FFD65 1 0.0000 0.8540 1.000 0.000 0.000
#> C464CD1D-4519-48E8-A18A-403F691E5702 2 0.6825 -0.0099 0.492 0.496 0.012
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 3 0.0237 0.8954 0.004 0.000 0.996
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.4974 0.6437 0.236 0.764 0.000
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0000 0.9093 0.000 1.000 0.000
#> A563359B-0D55-4826-9229-62A89143C1C6 3 0.0000 0.8966 0.000 0.000 1.000
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 2 0.9301 0.2290 0.244 0.524 0.232
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.0000 0.9438 0.000 1.000 0.000 0.000
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 4 0.0000 0.9384 0.000 0.000 0.000 1.000
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 2 0.0000 0.9438 0.000 1.000 0.000 0.000
#> 91202998-760F-4421-B1C4-18639962EDDA 4 0.0000 0.9384 0.000 0.000 0.000 1.000
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.0000 0.9438 0.000 1.000 0.000 0.000
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 4 0.0000 0.9384 0.000 0.000 0.000 1.000
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 4 0.0000 0.9384 0.000 0.000 0.000 1.000
#> 54337CE9-6F12-4712-8131-4B83F3216343 4 0.0336 0.9321 0.000 0.008 0.000 0.992
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 4 0.3837 0.6542 0.000 0.224 0.000 0.776
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.0000 0.9438 0.000 1.000 0.000 0.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 4 0.0000 0.9384 0.000 0.000 0.000 1.000
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.2408 0.8449 0.000 0.000 0.896 0.104
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 2 0.0000 0.9438 0.000 1.000 0.000 0.000
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 1 0.4804 0.4550 0.616 0.384 0.000 0.000
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0000 0.9370 0.000 0.000 1.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.0000 0.9438 0.000 1.000 0.000 0.000
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.0000 0.8952 1.000 0.000 0.000 0.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 4 0.0000 0.9384 0.000 0.000 0.000 1.000
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 4 0.0000 0.9384 0.000 0.000 0.000 1.000
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.0000 0.8952 1.000 0.000 0.000 0.000
#> D7A50E95-777C-47A6-8F93-031CB4770633 1 0.4095 0.7386 0.804 0.172 0.000 0.024
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.0000 0.9438 0.000 1.000 0.000 0.000
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 2 0.2814 0.8099 0.132 0.868 0.000 0.000
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 4 0.0921 0.9180 0.028 0.000 0.000 0.972
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.0000 0.9438 0.000 1.000 0.000 0.000
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 4 0.0469 0.9281 0.000 0.012 0.000 0.988
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.0000 0.9438 0.000 1.000 0.000 0.000
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.0000 0.9438 0.000 1.000 0.000 0.000
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.0000 0.9370 0.000 0.000 1.000 0.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.0000 0.9438 0.000 1.000 0.000 0.000
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 4 0.0000 0.9384 0.000 0.000 0.000 1.000
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 2 0.0000 0.9438 0.000 1.000 0.000 0.000
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.2868 0.8081 0.000 0.864 0.000 0.136
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.0000 0.9438 0.000 1.000 0.000 0.000
#> 2846A3AC-D102-4E37-9B72-139ED727157A 2 0.0000 0.9438 0.000 1.000 0.000 0.000
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 1 0.2081 0.8339 0.916 0.084 0.000 0.000
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 4 0.4624 0.4884 0.340 0.000 0.000 0.660
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.0000 0.8952 1.000 0.000 0.000 0.000
#> 150F5B77-4848-4D68-800A-0A0236C3661F 4 0.0707 0.9203 0.000 0.020 0.000 0.980
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.3569 0.7448 0.804 0.196 0.000 0.000
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.0000 0.9438 0.000 1.000 0.000 0.000
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.0000 0.9438 0.000 1.000 0.000 0.000
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 4 0.4888 0.2855 0.412 0.000 0.000 0.588
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 3 0.3837 0.6683 0.000 0.224 0.776 0.000
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.0000 0.9438 0.000 1.000 0.000 0.000
#> 1447B543-D3AC-41B5-878F-B382FE49421B 1 0.3610 0.7151 0.800 0.000 0.000 0.200
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 2 0.4406 0.5252 0.300 0.700 0.000 0.000
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 4 0.0000 0.9384 0.000 0.000 0.000 1.000
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.0000 0.9370 0.000 0.000 1.000 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 4 0.0000 0.9384 0.000 0.000 0.000 1.000
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 4 0.0000 0.9384 0.000 0.000 0.000 1.000
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.0000 0.8952 1.000 0.000 0.000 0.000
#> D9225689-21E0-478A-8F79-C26542938B8D 3 0.6296 0.5742 0.000 0.112 0.644 0.244
#> FC3BA46D-57F6-424C-8D62-16C441035969 2 0.0000 0.9438 0.000 1.000 0.000 0.000
#> 045CFFE6-4736-42F2-9340-C37690E47882 3 0.0000 0.9370 0.000 0.000 1.000 0.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 4 0.0336 0.9330 0.000 0.000 0.008 0.992
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 1 0.3726 0.7283 0.788 0.212 0.000 0.000
#> E94B217F-C5DC-4F42-8135-E81F338914B5 4 0.3311 0.7379 0.000 0.172 0.000 0.828
#> AE4C3956-76DF-4059-8D69-3D764F31817F 2 0.0000 0.9438 0.000 1.000 0.000 0.000
#> 33D6A38E-CD99-437B-99E0-04E72582F777 4 0.0000 0.9384 0.000 0.000 0.000 1.000
#> 8379051C-5847-42B5-AC5C-A128C166AB97 4 0.0000 0.9384 0.000 0.000 0.000 1.000
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 4 0.0000 0.9384 0.000 0.000 0.000 1.000
#> 40A16429-229E-4F40-BFC7-263554438F99 2 0.1867 0.8853 0.000 0.928 0.000 0.072
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 2 0.0000 0.9438 0.000 1.000 0.000 0.000
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 4 0.0921 0.9181 0.000 0.000 0.028 0.972
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 4 0.2281 0.8559 0.096 0.000 0.000 0.904
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 4 0.0000 0.9384 0.000 0.000 0.000 1.000
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.0000 0.9438 0.000 1.000 0.000 0.000
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 4 0.0000 0.9384 0.000 0.000 0.000 1.000
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 4 0.0000 0.9384 0.000 0.000 0.000 1.000
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 2 0.0000 0.9438 0.000 1.000 0.000 0.000
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.0000 0.9438 0.000 1.000 0.000 0.000
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 2 0.0000 0.9438 0.000 1.000 0.000 0.000
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 4 0.0000 0.9384 0.000 0.000 0.000 1.000
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 2 0.0469 0.9351 0.012 0.988 0.000 0.000
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 4 0.3266 0.7344 0.000 0.168 0.000 0.832
#> FDB47AC4-CE6A-428B-9B55-EBCEF1970ACB 4 0.3172 0.7745 0.000 0.000 0.160 0.840
#> 133B7E7B-FD50-48A2-9A35-E6D44FAB976B 2 0.0000 0.9438 0.000 1.000 0.000 0.000
#> E69E45DA-66A6-438A-9BFC-5F1F7F5C5A87 4 0.0000 0.9384 0.000 0.000 0.000 1.000
#> 6E242DF5-8B8B-4C6F-870E-C7ADFFAFDF3E 2 0.0188 0.9412 0.000 0.996 0.000 0.004
#> CB7BBFF1-4BF3-42A9-85C6-680D91503799 4 0.0000 0.9384 0.000 0.000 0.000 1.000
#> 70AA4670-C75B-4E39-8958-3F9C29811871 2 0.0336 0.9386 0.000 0.992 0.008 0.000
#> D63C5178-4FF7-4FD0-B87E-6CBF6E7BEF5B 2 0.0000 0.9438 0.000 1.000 0.000 0.000
#> 814391F8-C5B9-43F6-A330-A6749BB8F16E 4 0.0000 0.9384 0.000 0.000 0.000 1.000
#> 146ED7EA-BF3C-4BAB-B33C-0A668AB13C80 4 0.0000 0.9384 0.000 0.000 0.000 1.000
#> FD5CAFE8-E669-406A-A505-A47DCDC32E93 4 0.0000 0.9384 0.000 0.000 0.000 1.000
#> 4B3C7910-A652-45B5-8218-9002EB0FD9EB 2 0.0188 0.9412 0.000 0.996 0.004 0.000
#> E410F77D-E31F-4D73-ACAC-9245935A92F5 3 0.5798 0.3196 0.016 0.396 0.576 0.012
#> 64336403-9037-480C-873A-67BC77119FA5 2 0.0000 0.9438 0.000 1.000 0.000 0.000
#> 6F9D5013-3B1B-41EE-85DB-E51F5D828DEF 4 0.0000 0.9384 0.000 0.000 0.000 1.000
#> 155AEBBD-1C12-4F88-90C7-1C7FF7E3FB2C 4 0.0000 0.9384 0.000 0.000 0.000 1.000
#> D28DDCAA-682C-451F-8327-D2C2AFB044E2 2 0.0000 0.9438 0.000 1.000 0.000 0.000
#> 171523DC-2713-4EBF-A115-53A0BA174545 3 0.0000 0.9370 0.000 0.000 1.000 0.000
#> FD223304-87BA-4462-A5E5-01AB8C018C35 3 0.1302 0.8991 0.000 0.000 0.956 0.044
#> D8E06D8A-9063-4466-A3B0-7724F4737C7A 4 0.0000 0.9384 0.000 0.000 0.000 1.000
#> FFA5FFF7-6301-4CD8-8E63-A4D8294D1B0E 4 0.4790 0.3704 0.000 0.380 0.000 0.620
#> AF3648D6-C774-48CC-9428-ADC00402A562 3 0.0000 0.9370 0.000 0.000 1.000 0.000
#> BD406B65-B715-444E-95B4-F38D05BAC863 4 0.0000 0.9384 0.000 0.000 0.000 1.000
#> 6DB67CA1-0BEB-4585-9867-40E7C8A96D55 2 0.0000 0.9438 0.000 1.000 0.000 0.000
#> 49C9DE1D-784D-405A-9DD3-C4D2890D0309 1 0.0000 0.8952 1.000 0.000 0.000 0.000
#> 05EC4D30-D34E-4497-B4F4-80AEDC2E70DF 1 0.0000 0.8952 1.000 0.000 0.000 0.000
#> CB69E76B-7CD3-49EF-9ADF-75701FE1D0A8 4 0.0000 0.9384 0.000 0.000 0.000 1.000
#> 103C6E25-A69A-460E-81C0-7437547E1334 2 0.0000 0.9438 0.000 1.000 0.000 0.000
#> 2D986DB0-B5A8-42E8-ACB8-926A16FAABD6 2 0.0000 0.9438 0.000 1.000 0.000 0.000
#> 1B9A0F24-8A3F-4693-B09C-5F0EFE5A32A5 2 0.3764 0.6857 0.216 0.784 0.000 0.000
#> C064D1FE-753E-4493-907C-C5FFE19F9875 2 0.0000 0.9438 0.000 1.000 0.000 0.000
#> 71596860-AEFA-4B94-8ADE-AC33CEA24DD4 2 0.4103 0.6393 0.000 0.744 0.256 0.000
#> E9A3A454-AB4D-4683-B276-84DA43792DBB 4 0.0000 0.9384 0.000 0.000 0.000 1.000
#> C5717869-8413-4810-A042-32E949AD3B0A 4 0.0469 0.9301 0.000 0.000 0.012 0.988
#> F36B393E-859C-49F8-BDF4-ED2CEF4C6307 4 0.0000 0.9384 0.000 0.000 0.000 1.000
#> 4CC9D3F9-983F-4CB2-91F1-0FBB86D53DC3 2 0.0000 0.9438 0.000 1.000 0.000 0.000
#> D450F074-CA68-49CE-B0B3-F81A91D54867 3 0.0000 0.9370 0.000 0.000 1.000 0.000
#> 2BBD504E-FE90-4142-9204-0E33B6B56C7E 2 0.0592 0.9326 0.000 0.984 0.000 0.016
#> 1A457CBF-24DA-44F1-B9ED-F26B8D1245D4 4 0.0188 0.9354 0.000 0.004 0.000 0.996
#> F29B5A39-866E-4C9D-BC26-B726FEA5F576 1 0.3801 0.7192 0.780 0.220 0.000 0.000
#> 89A4972A-8C91-4272-96BE-BCA9BC447780 2 0.0000 0.9438 0.000 1.000 0.000 0.000
#> 70B014FD-A0D0-418C-B55F-D09BAE213D52 2 0.0000 0.9438 0.000 1.000 0.000 0.000
#> 8139F417-0548-40B4-851F-A4E149A2E06A 1 0.0592 0.8884 0.984 0.016 0.000 0.000
#> 6E9F0021-FA91-4516-9B04-6A978034CECF 4 0.2921 0.8117 0.140 0.000 0.000 0.860
#> 49DAF1CD-8E20-433B-91A7-8C885ACB21A5 2 0.4961 0.0959 0.448 0.552 0.000 0.000
#> 093765A6-145C-47C3-B87B-4560CD632B4C 2 0.0000 0.9438 0.000 1.000 0.000 0.000
#> 90731001-45B2-4601-93F5-064BDD519A30 3 0.0000 0.9370 0.000 0.000 1.000 0.000
#> 40BCB65D-BC26-4FEF-941F-6F4A42D475EB 2 0.0000 0.9438 0.000 1.000 0.000 0.000
#> 204317C4-B927-4CAC-AADF-E16D19410ADB 4 0.4981 0.1204 0.000 0.464 0.000 0.536
#> 1023707A-D6DE-432A-AD2D-2318C3F91FA2 2 0.0000 0.9438 0.000 1.000 0.000 0.000
#> 06F79E8E-50E3-485A-82E9-C7CD4C72333B 2 0.0000 0.9438 0.000 1.000 0.000 0.000
#> BFAF5464-D239-4A03-AC34-984DEBA84451 2 0.0000 0.9438 0.000 1.000 0.000 0.000
#> 96C7C73E-F3E1-4937-A267-B7DAAD8EDE37 4 0.0000 0.9384 0.000 0.000 0.000 1.000
#> 1D94B33B-9A3F-40BA-90AF-5248ED058C6F 2 0.0000 0.9438 0.000 1.000 0.000 0.000
#> 3407B68D-0277-465B-8819-10FAE3EE6572 3 0.0000 0.9370 0.000 0.000 1.000 0.000
#> 868CD0D0-1CB4-4F61-B4ED-EB0C93DD950F 4 0.0000 0.9384 0.000 0.000 0.000 1.000
#> 823383C2-6F4D-4C0C-8640-3981A7ED1226 1 0.3486 0.7524 0.812 0.188 0.000 0.000
#> 95B76301-6382-4F6E-9E09-60EEFEEA03D5 2 0.0000 0.9438 0.000 1.000 0.000 0.000
#> 50A46A4F-883E-4DAA-BD16-FCCC5FA3FCD9 2 0.0000 0.9438 0.000 1.000 0.000 0.000
#> 5037DC80-5E81-4281-89A0-E0B58071B1D9 1 0.0188 0.8937 0.996 0.004 0.000 0.000
#> 6A228156-7365-4A4D-8E66-AA687BF37A24 1 0.0000 0.8952 1.000 0.000 0.000 0.000
#> 868C82CD-CB45-4EC9-96A8-77F0F4E0D874 2 0.0000 0.9438 0.000 1.000 0.000 0.000
#> 28F5861F-7081-4CE8-A917-941FCB6206FA 2 0.0000 0.9438 0.000 1.000 0.000 0.000
#> 1ED41271-3AA4-43F1-B43C-0D5C4F918FB8 4 0.0188 0.9354 0.000 0.004 0.000 0.996
#> 5A879DD8-EB7F-4EB6-9A9A-6D62438D8B95 2 0.0000 0.9438 0.000 1.000 0.000 0.000
#> 8B55B4E4-9222-4F69-AD4A-A92AC948F05E 2 0.0000 0.9438 0.000 1.000 0.000 0.000
#> 1DCE9448-495E-46D3-8953-D733BD68DFE6 4 0.0000 0.9384 0.000 0.000 0.000 1.000
#> C922BF2A-2A98-47CC-9127-1C1A2E38A6B6 1 0.0000 0.8952 1.000 0.000 0.000 0.000
#> 3C14A318-E9ED-4383-9F57-E227D478B450 4 0.3942 0.6874 0.236 0.000 0.000 0.764
#> 183B0920-7505-4B65-A940-97021F11DDC1 1 0.3649 0.7368 0.796 0.204 0.000 0.000
#> CF8B38D4-717B-4F8A-8DA4-8B721E6DFB1C 2 0.0000 0.9438 0.000 1.000 0.000 0.000
#> 0C7BEFDE-507E-43B2-938D-5695FE462875 1 0.0000 0.8952 1.000 0.000 0.000 0.000
#> 940D45CC-1300-4E92-A79A-6EDC8118E9E2 4 0.1557 0.8962 0.056 0.000 0.000 0.944
#> 772D02BF-D8A6-4C99-8C82-5902DEB3A067 2 0.0188 0.9413 0.000 0.996 0.004 0.000
#> F5D71464-EFD6-4922-9BC9-2620A90DA6F4 2 0.0000 0.9438 0.000 1.000 0.000 0.000
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#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.0592 0.9319 0.000 0.984 0.000 0.016
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.0000 0.9438 0.000 1.000 0.000 0.000
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 4 0.0592 0.9251 0.000 0.016 0.000 0.984
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.0000 0.9438 0.000 1.000 0.000 0.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 1 0.0000 0.8952 1.000 0.000 0.000 0.000
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 4 0.0000 0.9384 0.000 0.000 0.000 1.000
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.0000 0.9438 0.000 1.000 0.000 0.000
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0000 0.9370 0.000 0.000 1.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 4 0.2149 0.8425 0.000 0.088 0.000 0.912
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 4 0.0188 0.9354 0.000 0.004 0.000 0.996
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 4 0.0000 0.9384 0.000 0.000 0.000 1.000
#> BEE081CA-8420-4314-88A0-286BB30FFD65 4 0.0000 0.9384 0.000 0.000 0.000 1.000
#> C464CD1D-4519-48E8-A18A-403F691E5702 1 0.4431 0.6163 0.696 0.304 0.000 0.000
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.0000 0.8952 1.000 0.000 0.000 0.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.5842 0.1386 0.000 0.520 0.032 0.448
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0000 0.9438 0.000 1.000 0.000 0.000
#> A563359B-0D55-4826-9229-62A89143C1C6 3 0.0188 0.9339 0.004 0.000 0.996 0.000
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.0000 0.8952 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
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.5238 0.47680 0.260 0.652 0.000 0.000 0.088
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 5 0.4045 0.47377 0.000 0.000 0.000 0.356 0.644
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 2 0.3912 0.74785 0.000 0.752 0.000 0.228 0.020
#> 91202998-760F-4421-B1C4-18639962EDDA 4 0.2648 0.68973 0.000 0.000 0.000 0.848 0.152
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.1341 0.85076 0.000 0.944 0.000 0.056 0.000
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 5 0.1544 0.71458 0.000 0.000 0.000 0.068 0.932
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 5 0.2230 0.68389 0.000 0.000 0.000 0.116 0.884
#> 54337CE9-6F12-4712-8131-4B83F3216343 5 0.1018 0.70763 0.000 0.016 0.000 0.016 0.968
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.4021 0.76820 0.000 0.764 0.000 0.200 0.036
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.3955 0.82166 0.000 0.800 0.000 0.116 0.084
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 4 0.2280 0.70651 0.000 0.000 0.000 0.880 0.120
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.1478 0.83947 0.000 0.000 0.936 0.000 0.064
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 2 0.2969 0.82101 0.000 0.852 0.000 0.128 0.020
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 2 0.3035 0.82330 0.032 0.856 0.000 0.112 0.000
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0000 0.88655 0.000 0.000 1.000 0.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.0000 0.85550 0.000 1.000 0.000 0.000 0.000
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.3949 0.53463 0.668 0.000 0.000 0.332 0.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 5 0.3210 0.66629 0.000 0.000 0.000 0.212 0.788
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 5 0.0771 0.71785 0.000 0.004 0.000 0.020 0.976
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.0000 0.79318 1.000 0.000 0.000 0.000 0.000
#> D7A50E95-777C-47A6-8F93-031CB4770633 1 0.6771 0.44067 0.544 0.232 0.000 0.028 0.196
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.2824 0.82625 0.000 0.864 0.000 0.116 0.020
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 2 0.2561 0.81808 0.096 0.884 0.000 0.020 0.000
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 5 0.5293 0.07415 0.048 0.000 0.000 0.460 0.492
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.2338 0.83267 0.000 0.884 0.000 0.112 0.004
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 4 0.6156 0.23690 0.000 0.224 0.000 0.560 0.216
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.2674 0.82729 0.000 0.868 0.000 0.120 0.012
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.4288 0.46275 0.000 0.612 0.000 0.004 0.384
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.0000 0.88655 0.000 0.000 1.000 0.000 0.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.2074 0.83686 0.000 0.896 0.000 0.104 0.000
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 5 0.0865 0.71916 0.000 0.004 0.000 0.024 0.972
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 2 0.0865 0.85214 0.000 0.972 0.000 0.004 0.024
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 5 0.2719 0.61474 0.000 0.144 0.000 0.004 0.852
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.0510 0.85626 0.000 0.984 0.000 0.016 0.000
#> 2846A3AC-D102-4E37-9B72-139ED727157A 2 0.2813 0.83977 0.000 0.868 0.000 0.108 0.024
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 1 0.3752 0.56212 0.708 0.292 0.000 0.000 0.000
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 4 0.2777 0.70479 0.016 0.000 0.000 0.864 0.120
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.0609 0.78812 0.980 0.000 0.000 0.000 0.020
#> 150F5B77-4848-4D68-800A-0A0236C3661F 2 0.6765 0.01012 0.000 0.400 0.000 0.304 0.296
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.5084 0.47766 0.616 0.332 0.000 0.052 0.000
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.0162 0.85568 0.000 0.996 0.000 0.004 0.000
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.0162 0.85589 0.000 0.996 0.000 0.004 0.000
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 4 0.2707 0.67834 0.100 0.000 0.000 0.876 0.024
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 2 0.6930 0.14068 0.000 0.408 0.244 0.340 0.008
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.0404 0.85586 0.000 0.988 0.000 0.012 0.000
#> 1447B543-D3AC-41B5-878F-B382FE49421B 1 0.6769 0.34614 0.548 0.036 0.000 0.260 0.156
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 2 0.2740 0.81576 0.096 0.876 0.000 0.028 0.000
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 5 0.3395 0.64726 0.000 0.000 0.000 0.236 0.764
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.0000 0.88655 0.000 0.000 1.000 0.000 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 5 0.3210 0.66557 0.000 0.000 0.000 0.212 0.788
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 5 0.2127 0.70218 0.000 0.000 0.000 0.108 0.892
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.0290 0.79226 0.992 0.000 0.000 0.008 0.000
#> D9225689-21E0-478A-8F79-C26542938B8D 3 0.6295 0.34539 0.000 0.112 0.556 0.312 0.020
#> FC3BA46D-57F6-424C-8D62-16C441035969 2 0.2513 0.83236 0.000 0.876 0.000 0.116 0.008
#> 045CFFE6-4736-42F2-9340-C37690E47882 3 0.0000 0.88655 0.000 0.000 1.000 0.000 0.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 4 0.3515 0.61186 0.000 0.008 0.064 0.844 0.084
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 2 0.4038 0.74733 0.128 0.792 0.000 0.080 0.000
#> E94B217F-C5DC-4F42-8135-E81F338914B5 5 0.1444 0.69724 0.000 0.040 0.000 0.012 0.948
#> AE4C3956-76DF-4059-8D69-3D764F31817F 2 0.1965 0.84193 0.000 0.904 0.000 0.096 0.000
#> 33D6A38E-CD99-437B-99E0-04E72582F777 5 0.0794 0.71950 0.000 0.000 0.000 0.028 0.972
#> 8379051C-5847-42B5-AC5C-A128C166AB97 5 0.3424 0.64459 0.000 0.000 0.000 0.240 0.760
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 5 0.3143 0.66934 0.000 0.000 0.000 0.204 0.796
#> 40A16429-229E-4F40-BFC7-263554438F99 2 0.5620 0.60888 0.000 0.616 0.000 0.120 0.264
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 2 0.2488 0.80217 0.000 0.872 0.000 0.004 0.124
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 3 0.4967 0.51035 0.000 0.004 0.688 0.244 0.064
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 5 0.1041 0.71656 0.004 0.000 0.000 0.032 0.964
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 5 0.3177 0.66704 0.000 0.000 0.000 0.208 0.792
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.0290 0.85578 0.000 0.992 0.000 0.008 0.000
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 5 0.1197 0.72012 0.000 0.000 0.000 0.048 0.952
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 5 0.0880 0.72013 0.000 0.000 0.000 0.032 0.968
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 2 0.2992 0.81227 0.000 0.868 0.068 0.000 0.064
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.0794 0.85260 0.000 0.972 0.000 0.000 0.028
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 2 0.2574 0.83018 0.000 0.876 0.000 0.112 0.012
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 5 0.3480 0.63316 0.000 0.000 0.000 0.248 0.752
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 2 0.2935 0.78475 0.120 0.860 0.000 0.004 0.016
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 2 0.8463 -0.18118 0.000 0.292 0.272 0.160 0.276
#> FDB47AC4-CE6A-428B-9B55-EBCEF1970ACB 3 0.5450 0.11725 0.000 0.000 0.496 0.444 0.060
#> 133B7E7B-FD50-48A2-9A35-E6D44FAB976B 2 0.3203 0.80541 0.012 0.820 0.000 0.168 0.000
#> E69E45DA-66A6-438A-9BFC-5F1F7F5C5A87 4 0.3508 0.57783 0.000 0.000 0.000 0.748 0.252
#> 6E242DF5-8B8B-4C6F-870E-C7ADFFAFDF3E 2 0.1168 0.85738 0.000 0.960 0.000 0.032 0.008
#> CB7BBFF1-4BF3-42A9-85C6-680D91503799 5 0.3816 0.57053 0.000 0.000 0.000 0.304 0.696
#> 70AA4670-C75B-4E39-8958-3F9C29811871 2 0.2505 0.82753 0.000 0.888 0.092 0.020 0.000
#> D63C5178-4FF7-4FD0-B87E-6CBF6E7BEF5B 2 0.1270 0.84545 0.000 0.948 0.000 0.000 0.052
#> 814391F8-C5B9-43F6-A330-A6749BB8F16E 4 0.3231 0.66704 0.000 0.004 0.000 0.800 0.196
#> 146ED7EA-BF3C-4BAB-B33C-0A668AB13C80 4 0.4171 0.27407 0.000 0.000 0.000 0.604 0.396
#> FD5CAFE8-E669-406A-A505-A47DCDC32E93 5 0.4227 0.31119 0.000 0.000 0.000 0.420 0.580
#> 4B3C7910-A652-45B5-8218-9002EB0FD9EB 2 0.3414 0.82217 0.000 0.844 0.020 0.116 0.020
#> E410F77D-E31F-4D73-ACAC-9245935A92F5 2 0.5745 0.47430 0.000 0.560 0.052 0.368 0.020
#> 64336403-9037-480C-873A-67BC77119FA5 2 0.5499 0.58374 0.112 0.652 0.000 0.004 0.232
#> 6F9D5013-3B1B-41EE-85DB-E51F5D828DEF 4 0.4768 0.29307 0.000 0.000 0.024 0.592 0.384
#> 155AEBBD-1C12-4F88-90C7-1C7FF7E3FB2C 5 0.0794 0.71944 0.000 0.000 0.000 0.028 0.972
#> D28DDCAA-682C-451F-8327-D2C2AFB044E2 2 0.1608 0.84691 0.000 0.928 0.000 0.072 0.000
#> 171523DC-2713-4EBF-A115-53A0BA174545 3 0.0000 0.88655 0.000 0.000 1.000 0.000 0.000
#> FD223304-87BA-4462-A5E5-01AB8C018C35 3 0.2103 0.83258 0.000 0.004 0.920 0.056 0.020
#> D8E06D8A-9063-4466-A3B0-7724F4737C7A 5 0.0912 0.71525 0.000 0.000 0.012 0.016 0.972
#> FFA5FFF7-6301-4CD8-8E63-A4D8294D1B0E 2 0.4132 0.71992 0.000 0.720 0.000 0.260 0.020
#> AF3648D6-C774-48CC-9428-ADC00402A562 3 0.0000 0.88655 0.000 0.000 1.000 0.000 0.000
#> BD406B65-B715-444E-95B4-F38D05BAC863 5 0.1341 0.71886 0.000 0.000 0.000 0.056 0.944
#> 6DB67CA1-0BEB-4585-9867-40E7C8A96D55 2 0.0000 0.85550 0.000 1.000 0.000 0.000 0.000
#> 49C9DE1D-784D-405A-9DD3-C4D2890D0309 1 0.0451 0.79288 0.988 0.004 0.000 0.008 0.000
#> 05EC4D30-D34E-4497-B4F4-80AEDC2E70DF 1 0.0510 0.79067 0.984 0.000 0.000 0.016 0.000
#> CB69E76B-7CD3-49EF-9ADF-75701FE1D0A8 4 0.4294 0.04827 0.000 0.000 0.000 0.532 0.468
#> 103C6E25-A69A-460E-81C0-7437547E1334 2 0.2227 0.83291 0.048 0.916 0.000 0.004 0.032
#> 2D986DB0-B5A8-42E8-ACB8-926A16FAABD6 2 0.1270 0.84657 0.000 0.948 0.000 0.000 0.052
#> 1B9A0F24-8A3F-4693-B09C-5F0EFE5A32A5 2 0.3934 0.66642 0.244 0.740 0.000 0.016 0.000
#> C064D1FE-753E-4493-907C-C5FFE19F9875 2 0.0865 0.85214 0.000 0.972 0.000 0.004 0.024
#> 71596860-AEFA-4B94-8ADE-AC33CEA24DD4 2 0.4620 0.33144 0.000 0.592 0.392 0.000 0.016
#> E9A3A454-AB4D-4683-B276-84DA43792DBB 4 0.2230 0.70781 0.000 0.000 0.000 0.884 0.116
#> C5717869-8413-4810-A042-32E949AD3B0A 3 0.6557 -0.10795 0.000 0.000 0.428 0.204 0.368
#> F36B393E-859C-49F8-BDF4-ED2CEF4C6307 4 0.2929 0.65603 0.000 0.000 0.000 0.820 0.180
#> 4CC9D3F9-983F-4CB2-91F1-0FBB86D53DC3 2 0.1547 0.84702 0.016 0.948 0.000 0.004 0.032
#> D450F074-CA68-49CE-B0B3-F81A91D54867 3 0.0162 0.88396 0.000 0.004 0.996 0.000 0.000
#> 2BBD504E-FE90-4142-9204-0E33B6B56C7E 2 0.2873 0.82701 0.000 0.860 0.000 0.120 0.020
#> 1A457CBF-24DA-44F1-B9ED-F26B8D1245D4 5 0.0898 0.70972 0.000 0.020 0.000 0.008 0.972
#> F29B5A39-866E-4C9D-BC26-B726FEA5F576 4 0.5506 0.41930 0.120 0.220 0.000 0.656 0.004
#> 89A4972A-8C91-4272-96BE-BCA9BC447780 2 0.3579 0.69243 0.000 0.756 0.000 0.004 0.240
#> 70B014FD-A0D0-418C-B55F-D09BAE213D52 5 0.4446 -0.08193 0.000 0.476 0.000 0.004 0.520
#> 8139F417-0548-40B4-851F-A4E149A2E06A 1 0.5325 0.52695 0.636 0.276 0.000 0.088 0.000
#> 6E9F0021-FA91-4516-9B04-6A978034CECF 4 0.3098 0.69424 0.016 0.000 0.000 0.836 0.148
#> 49DAF1CD-8E20-433B-91A7-8C885ACB21A5 4 0.4767 -0.03125 0.000 0.420 0.000 0.560 0.020
#> 093765A6-145C-47C3-B87B-4560CD632B4C 2 0.0324 0.85558 0.000 0.992 0.000 0.004 0.004
#> 90731001-45B2-4601-93F5-064BDD519A30 3 0.0000 0.88655 0.000 0.000 1.000 0.000 0.000
#> 40BCB65D-BC26-4FEF-941F-6F4A42D475EB 2 0.0451 0.85616 0.000 0.988 0.000 0.008 0.004
#> 204317C4-B927-4CAC-AADF-E16D19410ADB 5 0.2624 0.64336 0.000 0.116 0.000 0.012 0.872
#> 1023707A-D6DE-432A-AD2D-2318C3F91FA2 2 0.0693 0.85754 0.000 0.980 0.000 0.008 0.012
#> 06F79E8E-50E3-485A-82E9-C7CD4C72333B 2 0.0404 0.85578 0.000 0.988 0.000 0.012 0.000
#> BFAF5464-D239-4A03-AC34-984DEBA84451 2 0.2488 0.82909 0.000 0.872 0.000 0.124 0.004
#> 96C7C73E-F3E1-4937-A267-B7DAAD8EDE37 5 0.2773 0.69473 0.000 0.000 0.000 0.164 0.836
#> 1D94B33B-9A3F-40BA-90AF-5248ED058C6F 2 0.2722 0.82761 0.004 0.868 0.000 0.120 0.008
#> 3407B68D-0277-465B-8819-10FAE3EE6572 3 0.0000 0.88655 0.000 0.000 1.000 0.000 0.000
#> 868CD0D0-1CB4-4F61-B4ED-EB0C93DD950F 5 0.5844 0.47014 0.000 0.080 0.064 0.172 0.684
#> 823383C2-6F4D-4C0C-8640-3981A7ED1226 1 0.6557 0.33726 0.472 0.240 0.000 0.288 0.000
#> 95B76301-6382-4F6E-9E09-60EEFEEA03D5 2 0.2890 0.78238 0.000 0.836 0.000 0.004 0.160
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#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.0290 0.85512 0.000 0.992 0.000 0.000 0.008
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 1 0.0000 0.79318 1.000 0.000 0.000 0.000 0.000
#> D34036E4-1122-42AE-B20F-F4C8515872A0 2 0.0703 0.85533 0.000 0.976 0.000 0.024 0.000
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 5 0.4452 -0.14935 0.000 0.496 0.000 0.004 0.500
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 4 0.2230 0.70781 0.000 0.000 0.000 0.884 0.116
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 3 0.0000 0.88655 0.000 0.000 1.000 0.000 0.000
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.1704 0.83839 0.000 0.928 0.000 0.004 0.068
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.0609 0.85549 0.000 0.980 0.000 0.020 0.000
#> F3C13430-405E-432E-8F3E-0DD18E86087E 2 0.3203 0.80745 0.012 0.820 0.000 0.168 0.000
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.0794 0.85198 0.000 0.972 0.000 0.000 0.028
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 4 0.4440 -0.10636 0.468 0.000 0.000 0.528 0.004
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.0955 0.85138 0.000 0.968 0.000 0.004 0.028
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 5 0.2424 0.62867 0.000 0.132 0.000 0.000 0.868
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 4 0.5337 -0.10346 0.440 0.052 0.000 0.508 0.000
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.0798 0.85488 0.000 0.976 0.000 0.008 0.016
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.0000 0.79318 1.000 0.000 0.000 0.000 0.000
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 4 0.4719 0.45589 0.056 0.000 0.000 0.696 0.248
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 1 0.4740 0.24897 0.516 0.016 0.000 0.468 0.000
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 3 0.4446 0.29232 0.000 0.400 0.592 0.008 0.000
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.0000 0.88655 0.000 0.000 1.000 0.000 0.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.3336 0.70182 0.228 0.000 0.772 0.000 0.000
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 2 0.2969 0.82101 0.000 0.852 0.000 0.128 0.020
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 5 0.4832 0.64701 0.000 0.104 0.000 0.176 0.720
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.4052 0.67013 0.204 0.764 0.000 0.004 0.028
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 5 0.3210 0.66906 0.000 0.000 0.000 0.212 0.788
#> 343F031B-0095-429D-8212-AD0581DBB05B 4 0.2230 0.70781 0.000 0.000 0.000 0.884 0.116
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 2 0.2771 0.82433 0.000 0.860 0.000 0.128 0.012
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.3231 0.69159 0.800 0.000 0.000 0.196 0.004
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 5 0.0771 0.71849 0.000 0.004 0.000 0.020 0.976
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 2 0.4136 0.77450 0.000 0.764 0.000 0.188 0.048
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 1 0.4621 0.27413 0.576 0.412 0.000 0.008 0.004
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.4546 0.06409 0.460 0.532 0.000 0.000 0.008
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.0865 0.85214 0.000 0.972 0.000 0.004 0.024
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 5 0.4946 0.63464 0.000 0.120 0.000 0.168 0.712
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.0000 0.88655 0.000 0.000 1.000 0.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.0000 0.79318 1.000 0.000 0.000 0.000 0.000
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.0000 0.88655 0.000 0.000 1.000 0.000 0.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 5 0.3816 0.55741 0.000 0.000 0.000 0.304 0.696
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.3730 0.62061 0.288 0.000 0.712 0.000 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.0703 0.85334 0.000 0.976 0.000 0.000 0.024
#> FC7821F4-6495-4545-A22A-764BB99B3F79 1 0.2732 0.70364 0.840 0.160 0.000 0.000 0.000
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.4364 0.76486 0.000 0.768 0.000 0.112 0.120
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.4639 0.52748 0.000 0.632 0.000 0.024 0.344
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 5 0.4826 -0.14419 0.000 0.472 0.000 0.020 0.508
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.4029 0.58518 0.000 0.680 0.000 0.004 0.316
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 1 0.4972 0.50707 0.672 0.068 0.000 0.260 0.000
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 4 0.3913 0.45986 0.000 0.000 0.000 0.676 0.324
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.1205 0.85003 0.000 0.956 0.000 0.004 0.040
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0000 0.88655 0.000 0.000 1.000 0.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 4 0.1484 0.64180 0.000 0.048 0.000 0.944 0.008
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 5 0.3242 0.66656 0.000 0.000 0.000 0.216 0.784
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 4 0.3366 0.59779 0.000 0.000 0.000 0.768 0.232
#> BEE081CA-8420-4314-88A0-286BB30FFD65 4 0.5450 0.54236 0.000 0.000 0.216 0.652 0.132
#> C464CD1D-4519-48E8-A18A-403F691E5702 4 0.5666 0.31584 0.108 0.300 0.000 0.592 0.000
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.0000 0.79318 1.000 0.000 0.000 0.000 0.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.4595 0.50602 0.000 0.588 0.004 0.400 0.008
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0955 0.85138 0.000 0.968 0.000 0.004 0.028
#> A563359B-0D55-4826-9229-62A89143C1C6 3 0.0671 0.87617 0.016 0.004 0.980 0.000 0.000
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.1638 0.76902 0.932 0.064 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
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 1 0.5519 0.1356 0.484 0.048 0.000 0.000 0.428 0.040
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 6 0.2909 0.7444 0.000 0.000 0.000 0.136 0.028 0.836
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 5 0.0363 0.7446 0.000 0.000 0.000 0.000 0.988 0.012
#> 91202998-760F-4421-B1C4-18639962EDDA 4 0.3971 0.2066 0.000 0.000 0.000 0.548 0.004 0.448
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.4175 0.5701 0.000 0.524 0.000 0.012 0.464 0.000
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 6 0.4227 0.7153 0.000 0.256 0.000 0.000 0.052 0.692
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 6 0.2912 0.7610 0.000 0.172 0.000 0.000 0.012 0.816
#> 54337CE9-6F12-4712-8131-4B83F3216343 6 0.2234 0.7785 0.000 0.124 0.000 0.004 0.000 0.872
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 5 0.4106 0.4323 0.000 0.312 0.000 0.020 0.664 0.004
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 5 0.3076 0.6268 0.000 0.240 0.000 0.000 0.760 0.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 4 0.2704 0.7189 0.000 0.000 0.000 0.844 0.016 0.140
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.0146 0.8834 0.000 0.000 0.996 0.000 0.000 0.004
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 5 0.0146 0.7445 0.000 0.004 0.000 0.000 0.996 0.000
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 5 0.1461 0.7355 0.044 0.016 0.000 0.000 0.940 0.000
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0146 0.8837 0.004 0.000 0.996 0.000 0.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.3872 0.6834 0.004 0.604 0.000 0.000 0.392 0.000
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 4 0.3727 0.3103 0.388 0.000 0.000 0.612 0.000 0.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 6 0.2494 0.7607 0.000 0.000 0.000 0.120 0.016 0.864
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 6 0.2805 0.7522 0.000 0.184 0.004 0.000 0.000 0.812
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.0260 0.7820 0.992 0.000 0.000 0.000 0.008 0.000
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.6491 0.0852 0.232 0.560 0.000 0.032 0.032 0.144
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 5 0.0547 0.7418 0.000 0.020 0.000 0.000 0.980 0.000
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 2 0.4445 0.6617 0.000 0.572 0.000 0.032 0.396 0.000
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 4 0.3615 0.5024 0.000 0.008 0.000 0.700 0.000 0.292
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 5 0.1007 0.7302 0.000 0.044 0.000 0.000 0.956 0.000
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 5 0.4498 0.4922 0.000 0.008 0.000 0.088 0.716 0.188
#> 1139D935-739E-4C42-BFCB-06021A85932E 5 0.0458 0.7428 0.000 0.016 0.000 0.000 0.984 0.000
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.1285 0.6244 0.000 0.944 0.000 0.000 0.004 0.052
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.0000 0.8854 0.000 0.000 1.000 0.000 0.000 0.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 5 0.3482 0.1430 0.000 0.316 0.000 0.000 0.684 0.000
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 6 0.2631 0.7560 0.000 0.180 0.000 0.000 0.000 0.820
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 2 0.3023 0.7500 0.000 0.784 0.000 0.004 0.212 0.000
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 6 0.3810 0.4926 0.000 0.428 0.000 0.000 0.000 0.572
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.3797 0.6032 0.000 0.580 0.000 0.000 0.420 0.000
#> 2846A3AC-D102-4E37-9B72-139ED727157A 5 0.2762 0.6498 0.000 0.196 0.000 0.000 0.804 0.000
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.5409 0.5280 0.324 0.540 0.000 0.000 0.136 0.000
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 4 0.2135 0.7334 0.000 0.000 0.000 0.872 0.000 0.128
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.2302 0.7246 0.872 0.120 0.000 0.008 0.000 0.000
#> 150F5B77-4848-4D68-800A-0A0236C3661F 2 0.5858 0.2346 0.000 0.584 0.000 0.060 0.268 0.088
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.7492 0.2496 0.380 0.184 0.000 0.232 0.204 0.000
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.2969 0.7508 0.000 0.776 0.000 0.000 0.224 0.000
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.3765 0.6686 0.000 0.596 0.000 0.000 0.404 0.000
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 4 0.0508 0.7489 0.004 0.000 0.000 0.984 0.012 0.000
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 5 0.3056 0.6863 0.000 0.016 0.140 0.012 0.832 0.000
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.3923 0.6557 0.004 0.580 0.000 0.000 0.416 0.000
#> 1447B543-D3AC-41B5-878F-B382FE49421B 4 0.7253 -0.0070 0.328 0.064 0.000 0.368 0.012 0.228
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 2 0.3961 0.6232 0.000 0.556 0.000 0.004 0.440 0.000
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 6 0.2748 0.7522 0.000 0.000 0.000 0.128 0.024 0.848
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.0000 0.8854 0.000 0.000 1.000 0.000 0.000 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 6 0.2278 0.7631 0.000 0.004 0.000 0.128 0.000 0.868
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 6 0.2773 0.7664 0.000 0.064 0.000 0.004 0.064 0.868
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.2482 0.7005 0.848 0.004 0.000 0.148 0.000 0.000
#> D9225689-21E0-478A-8F79-C26542938B8D 3 0.5636 0.3183 0.000 0.040 0.568 0.316 0.076 0.000
#> FC3BA46D-57F6-424C-8D62-16C441035969 5 0.2135 0.7040 0.000 0.128 0.000 0.000 0.872 0.000
#> 045CFFE6-4736-42F2-9340-C37690E47882 3 0.0000 0.8854 0.000 0.000 1.000 0.000 0.000 0.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 5 0.4663 0.4350 0.000 0.000 0.000 0.124 0.684 0.192
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 5 0.5186 0.3430 0.000 0.156 0.000 0.232 0.612 0.000
#> E94B217F-C5DC-4F42-8135-E81F338914B5 6 0.2772 0.7556 0.000 0.180 0.000 0.000 0.004 0.816
#> AE4C3956-76DF-4059-8D69-3D764F31817F 5 0.3634 0.3224 0.000 0.356 0.000 0.000 0.644 0.000
#> 33D6A38E-CD99-437B-99E0-04E72582F777 6 0.2631 0.7560 0.000 0.180 0.000 0.000 0.000 0.820
#> 8379051C-5847-42B5-AC5C-A128C166AB97 6 0.2135 0.7618 0.000 0.000 0.000 0.128 0.000 0.872
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 6 0.2234 0.7647 0.000 0.004 0.000 0.124 0.000 0.872
#> 40A16429-229E-4F40-BFC7-263554438F99 5 0.4104 0.6094 0.000 0.104 0.000 0.000 0.748 0.148
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 2 0.3068 0.6209 0.000 0.840 0.000 0.000 0.072 0.088
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 3 0.4135 0.7348 0.000 0.012 0.792 0.104 0.072 0.020
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 6 0.2631 0.7560 0.000 0.180 0.000 0.000 0.000 0.820
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 6 0.2092 0.7635 0.000 0.000 0.000 0.124 0.000 0.876
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.3817 0.6376 0.000 0.568 0.000 0.000 0.432 0.000
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 6 0.2092 0.7744 0.000 0.124 0.000 0.000 0.000 0.876
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 6 0.2260 0.7708 0.000 0.140 0.000 0.000 0.000 0.860
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 2 0.4406 0.6602 0.000 0.728 0.176 0.000 0.088 0.008
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.3428 0.7374 0.000 0.696 0.000 0.000 0.304 0.000
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 5 0.0547 0.7418 0.000 0.020 0.000 0.000 0.980 0.000
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 6 0.2489 0.7579 0.000 0.000 0.000 0.128 0.012 0.860
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 2 0.3217 0.7553 0.008 0.768 0.000 0.000 0.224 0.000
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 2 0.6463 -0.1787 0.000 0.424 0.420 0.084 0.060 0.012
#> FDB47AC4-CE6A-428B-9B55-EBCEF1970ACB 3 0.5171 0.4612 0.000 0.008 0.612 0.020 0.312 0.048
#> 133B7E7B-FD50-48A2-9A35-E6D44FAB976B 5 0.0692 0.7433 0.000 0.020 0.000 0.004 0.976 0.000
#> E69E45DA-66A6-438A-9BFC-5F1F7F5C5A87 4 0.4377 0.4862 0.000 0.000 0.000 0.644 0.044 0.312
#> 6E242DF5-8B8B-4C6F-870E-C7ADFFAFDF3E 5 0.5245 -0.0372 0.000 0.368 0.000 0.008 0.544 0.080
#> CB7BBFF1-4BF3-42A9-85C6-680D91503799 6 0.2431 0.7574 0.000 0.000 0.000 0.132 0.008 0.860
#> 70AA4670-C75B-4E39-8958-3F9C29811871 2 0.5927 0.4713 0.000 0.452 0.232 0.000 0.316 0.000
#> D63C5178-4FF7-4FD0-B87E-6CBF6E7BEF5B 2 0.3290 0.7544 0.000 0.744 0.000 0.000 0.252 0.004
#> 814391F8-C5B9-43F6-A330-A6749BB8F16E 4 0.4271 0.6844 0.000 0.080 0.008 0.788 0.084 0.040
#> 146ED7EA-BF3C-4BAB-B33C-0A668AB13C80 6 0.3978 0.5766 0.000 0.000 0.000 0.268 0.032 0.700
#> FD5CAFE8-E669-406A-A505-A47DCDC32E93 6 0.4313 0.6474 0.000 0.000 0.000 0.124 0.148 0.728
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#> 755D805B-B9F4-41D3-ACA7-2BB599C3D529 5 0.1075 0.7309 0.000 0.048 0.000 0.000 0.952 0.000
#> 0BA34100-8588-47B5-A962-4BD1916645B6 4 0.1141 0.7350 0.052 0.000 0.000 0.948 0.000 0.000
#> 9CE2E8D4-1AD1-4546-AD5D-D58193F79096 4 0.1418 0.7507 0.000 0.000 0.000 0.944 0.024 0.032
#> 92D7DB12-B0E0-4072-98FB-34B112E7728D 3 0.0000 0.8854 0.000 0.000 1.000 0.000 0.000 0.000
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#> A3A8937A-0B0B-4A68-AE68-81DA9CF7F4FB 4 0.3952 0.6405 0.000 0.000 0.000 0.736 0.052 0.212
#> 3EB3C0F8-4CBC-41A7-81E4-4D8A565441A7 6 0.2003 0.7662 0.000 0.000 0.000 0.116 0.000 0.884
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#> EEE29DE1-F88C-4184-B499-5E86E2D252C4 4 0.1382 0.7508 0.008 0.008 0.000 0.948 0.000 0.036
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#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 2 0.3915 0.6602 0.004 0.584 0.000 0.000 0.412 0.000
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#> F081EA01-ED14-491B-9620-BF8F10A7431D 5 0.4914 0.5916 0.000 0.156 0.156 0.000 0.680 0.008
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#> B54639CE-F721-4908-B758-309F148AD3C2 5 0.1610 0.7194 0.000 0.084 0.000 0.000 0.916 0.000
#> EB4294E1-3FBC-495C-A041-829A654B59C5 3 0.0632 0.8733 0.024 0.000 0.976 0.000 0.000 0.000
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 5 0.6423 -0.1272 0.372 0.024 0.000 0.208 0.396 0.000
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.2854 0.7500 0.000 0.792 0.000 0.000 0.208 0.000
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 1 0.0000 0.7822 1.000 0.000 0.000 0.000 0.000 0.000
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.3684 0.6983 0.000 0.628 0.000 0.000 0.372 0.000
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 1 0.3370 0.6888 0.804 0.148 0.000 0.048 0.000 0.000
#> D34036E4-1122-42AE-B20F-F4C8515872A0 2 0.3833 0.6198 0.000 0.556 0.000 0.000 0.444 0.000
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 2 0.2212 0.5857 0.000 0.880 0.000 0.000 0.008 0.112
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 4 0.1462 0.7496 0.000 0.000 0.000 0.936 0.008 0.056
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 3 0.0000 0.8854 0.000 0.000 1.000 0.000 0.000 0.000
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.2135 0.7306 0.000 0.872 0.000 0.000 0.128 0.000
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.3823 0.6118 0.000 0.564 0.000 0.000 0.436 0.000
#> F3C13430-405E-432E-8F3E-0DD18E86087E 5 0.1807 0.7322 0.000 0.060 0.000 0.020 0.920 0.000
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.3409 0.7388 0.000 0.700 0.000 0.000 0.300 0.000
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 4 0.2512 0.7032 0.116 0.008 0.000 0.868 0.000 0.008
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.2823 0.7507 0.000 0.796 0.000 0.000 0.204 0.000
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 6 0.3309 0.6823 0.000 0.280 0.000 0.000 0.000 0.720
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 4 0.2665 0.6889 0.016 0.012 0.000 0.868 0.104 0.000
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.3050 0.7410 0.000 0.764 0.000 0.000 0.236 0.000
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.0000 0.7822 1.000 0.000 0.000 0.000 0.000 0.000
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 5 0.6004 0.3172 0.100 0.004 0.000 0.048 0.568 0.280
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 4 0.2866 0.6997 0.060 0.012 0.000 0.868 0.060 0.000
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 3 0.3261 0.6382 0.000 0.204 0.780 0.000 0.016 0.000
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.0000 0.8854 0.000 0.000 1.000 0.000 0.000 0.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.3737 0.4113 0.392 0.000 0.608 0.000 0.000 0.000
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 5 0.0146 0.7445 0.000 0.004 0.000 0.000 0.996 0.000
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 6 0.2815 0.7618 0.000 0.028 0.000 0.096 0.012 0.864
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.3481 0.7514 0.032 0.776 0.000 0.000 0.192 0.000
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 6 0.4003 0.7776 0.000 0.152 0.000 0.092 0.000 0.756
#> 343F031B-0095-429D-8212-AD0581DBB05B 4 0.2932 0.7035 0.000 0.000 0.000 0.820 0.016 0.164
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 5 0.0458 0.7429 0.000 0.016 0.000 0.000 0.984 0.000
#> 03A226C5-398D-41D2-BB72-C97A373CD512 4 0.3401 0.6214 0.204 0.016 0.000 0.776 0.000 0.004
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 6 0.2562 0.7598 0.000 0.172 0.000 0.000 0.000 0.828
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 5 0.1989 0.7270 0.000 0.028 0.000 0.004 0.916 0.052
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 1 0.6600 0.1454 0.424 0.380 0.000 0.004 0.140 0.052
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.5721 0.5310 0.244 0.520 0.000 0.000 0.236 0.000
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.2762 0.7495 0.000 0.804 0.000 0.000 0.196 0.000
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 6 0.2402 0.7647 0.000 0.012 0.000 0.120 0.000 0.868
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.0000 0.8854 0.000 0.000 1.000 0.000 0.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.0000 0.7822 1.000 0.000 0.000 0.000 0.000 0.000
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.0000 0.8854 0.000 0.000 1.000 0.000 0.000 0.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 6 0.2750 0.7494 0.000 0.000 0.000 0.136 0.020 0.844
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 1 0.3838 0.0328 0.552 0.000 0.448 0.000 0.000 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.3531 0.7268 0.000 0.672 0.000 0.000 0.328 0.000
#> FC7821F4-6495-4545-A22A-764BB99B3F79 1 0.4085 0.6200 0.748 0.156 0.000 0.000 0.096 0.000
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 5 0.3017 0.6486 0.000 0.020 0.000 0.000 0.816 0.164
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.3316 0.5755 0.000 0.840 0.000 0.056 0.020 0.084
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.2553 0.5638 0.000 0.848 0.000 0.000 0.008 0.144
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.2527 0.6884 0.004 0.880 0.000 0.000 0.084 0.032
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 5 0.3729 0.4310 0.296 0.000 0.000 0.012 0.692 0.000
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 4 0.5050 0.1915 0.000 0.000 0.000 0.508 0.076 0.416
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.2805 0.7496 0.004 0.812 0.000 0.000 0.184 0.000
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0000 0.8854 0.000 0.000 1.000 0.000 0.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 5 0.4142 0.5028 0.000 0.000 0.000 0.232 0.712 0.056
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 6 0.3041 0.7446 0.000 0.000 0.000 0.128 0.040 0.832
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 4 0.1218 0.7507 0.000 0.000 0.028 0.956 0.004 0.012
#> BEE081CA-8420-4314-88A0-286BB30FFD65 4 0.6836 0.4250 0.000 0.000 0.220 0.484 0.088 0.208
#> C464CD1D-4519-48E8-A18A-403F691E5702 4 0.3023 0.6149 0.000 0.004 0.000 0.784 0.212 0.000
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.0000 0.7822 1.000 0.000 0.000 0.000 0.000 0.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 5 0.2201 0.7275 0.000 0.036 0.004 0.056 0.904 0.000
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.2854 0.7558 0.000 0.792 0.000 0.000 0.208 0.000
#> A563359B-0D55-4826-9229-62A89143C1C6 3 0.2605 0.7838 0.000 0.092 0.876 0.012 0.020 0.000
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.3409 0.7223 0.832 0.016 0.000 0.076 0.076 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["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 17109 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'MAD' method.
#> Subgroups are detected by 'hclust' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 3.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.137 0.718 0.820 0.3395 0.675 0.675
#> 3 3 0.166 0.584 0.739 0.4788 0.910 0.868
#> 4 4 0.241 0.509 0.676 0.1780 0.813 0.704
#> 5 5 0.275 0.385 0.650 0.0812 0.881 0.775
#> 6 6 0.311 0.347 0.643 0.0605 0.890 0.772
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
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.6887 0.79901 0.184 0.816
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 2 0.5737 0.81745 0.136 0.864
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 2 0.6623 0.81073 0.172 0.828
#> 91202998-760F-4421-B1C4-18639962EDDA 2 0.9922 0.23502 0.448 0.552
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.2778 0.82698 0.048 0.952
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 2 0.6247 0.81504 0.156 0.844
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 2 0.8386 0.72304 0.268 0.732
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.2778 0.82564 0.048 0.952
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.3733 0.82898 0.072 0.928
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.3114 0.82584 0.056 0.944
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 2 0.8813 0.65280 0.300 0.700
#> 784B2359-6064-4FAA-9311-7A852F061FBB 2 0.5408 0.73739 0.124 0.876
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 2 0.4815 0.82352 0.104 0.896
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 2 0.5737 0.82219 0.136 0.864
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 1 0.9608 0.70978 0.616 0.384
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.6712 0.79845 0.176 0.824
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.6148 0.70202 0.848 0.152
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 2 0.4815 0.82029 0.104 0.896
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 2 0.2043 0.81231 0.032 0.968
#> A08E2707-DDB0-40FE-828F-14720768FB05 2 0.9580 0.45492 0.380 0.620
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.4815 0.81933 0.104 0.896
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.1184 0.80338 0.016 0.984
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 2 0.8144 0.73450 0.252 0.748
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 1 0.5946 0.67924 0.856 0.144
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.4690 0.82802 0.100 0.900
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 2 0.5059 0.82240 0.112 0.888
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.4022 0.82718 0.080 0.920
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.9087 0.28302 0.324 0.676
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 1 0.9608 0.70978 0.616 0.384
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.5737 0.82219 0.136 0.864
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 2 0.2423 0.82050 0.040 0.960
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 2 0.7299 0.78482 0.204 0.796
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.1633 0.81064 0.024 0.976
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.0938 0.80527 0.012 0.988
#> 2846A3AC-D102-4E37-9B72-139ED727157A 2 0.3114 0.82692 0.056 0.944
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.6623 0.80722 0.172 0.828
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 2 0.9933 0.22244 0.452 0.548
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.9000 0.59615 0.684 0.316
#> 150F5B77-4848-4D68-800A-0A0236C3661F 2 0.5178 0.82700 0.116 0.884
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 2 0.9754 0.37875 0.408 0.592
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.2043 0.81752 0.032 0.968
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.0938 0.80527 0.012 0.988
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 1 0.9608 0.48177 0.616 0.384
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 2 0.5294 0.82238 0.120 0.880
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.6247 0.80243 0.156 0.844
#> 1447B543-D3AC-41B5-878F-B382FE49421B 2 0.9732 0.37592 0.404 0.596
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 2 0.8713 0.66768 0.292 0.708
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 2 0.6343 0.81455 0.160 0.840
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 1 0.9608 0.70978 0.616 0.384
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 2 0.5946 0.81004 0.144 0.856
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 2 0.1843 0.81051 0.028 0.972
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.7376 0.68817 0.792 0.208
#> D9225689-21E0-478A-8F79-C26542938B8D 2 0.6048 0.81752 0.148 0.852
#> FC3BA46D-57F6-424C-8D62-16C441035969 2 0.4022 0.82885 0.080 0.920
#> 045CFFE6-4736-42F2-9340-C37690E47882 1 0.9608 0.70978 0.616 0.384
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 2 0.6623 0.81073 0.172 0.828
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 2 0.6048 0.81569 0.148 0.852
#> E94B217F-C5DC-4F42-8135-E81F338914B5 2 0.1633 0.80523 0.024 0.976
#> AE4C3956-76DF-4059-8D69-3D764F31817F 2 0.1184 0.80801 0.016 0.984
#> 33D6A38E-CD99-437B-99E0-04E72582F777 2 0.6048 0.81409 0.148 0.852
#> 8379051C-5847-42B5-AC5C-A128C166AB97 2 0.5059 0.81276 0.112 0.888
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 2 0.4431 0.82554 0.092 0.908
#> 40A16429-229E-4F40-BFC7-263554438F99 2 0.4562 0.82716 0.096 0.904
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 2 0.5519 0.81958 0.128 0.872
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 2 0.6247 0.81779 0.156 0.844
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 2 0.9963 0.15811 0.464 0.536
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 2 0.6531 0.78610 0.168 0.832
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.2948 0.82617 0.052 0.948
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 2 0.5408 0.81286 0.124 0.876
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 2 0.1843 0.81051 0.028 0.972
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 2 0.0672 0.81090 0.008 0.992
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.1184 0.81316 0.016 0.984
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 2 0.3733 0.82626 0.072 0.928
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 2 0.7883 0.73834 0.236 0.764
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 2 0.7299 0.76961 0.204 0.796
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 2 0.6438 0.80980 0.164 0.836
#> FDB47AC4-CE6A-428B-9B55-EBCEF1970ACB 2 0.7453 0.78113 0.212 0.788
#> 133B7E7B-FD50-48A2-9A35-E6D44FAB976B 2 0.5294 0.82589 0.120 0.880
#> E69E45DA-66A6-438A-9BFC-5F1F7F5C5A87 2 0.8909 0.65016 0.308 0.692
#> 6E242DF5-8B8B-4C6F-870E-C7ADFFAFDF3E 2 0.0938 0.80672 0.012 0.988
#> CB7BBFF1-4BF3-42A9-85C6-680D91503799 2 0.6712 0.78074 0.176 0.824
#> 70AA4670-C75B-4E39-8958-3F9C29811871 2 0.5519 0.82533 0.128 0.872
#> D63C5178-4FF7-4FD0-B87E-6CBF6E7BEF5B 2 0.0938 0.80527 0.012 0.988
#> 814391F8-C5B9-43F6-A330-A6749BB8F16E 2 0.6343 0.81313 0.160 0.840
#> 146ED7EA-BF3C-4BAB-B33C-0A668AB13C80 2 0.8813 0.63116 0.300 0.700
#> FD5CAFE8-E669-406A-A505-A47DCDC32E93 2 0.6531 0.81202 0.168 0.832
#> 4B3C7910-A652-45B5-8218-9002EB0FD9EB 2 0.1414 0.81078 0.020 0.980
#> E410F77D-E31F-4D73-ACAC-9245935A92F5 2 0.6623 0.81073 0.172 0.828
#> 64336403-9037-480C-873A-67BC77119FA5 2 0.5737 0.80309 0.136 0.864
#> 6F9D5013-3B1B-41EE-85DB-E51F5D828DEF 2 0.8861 0.65042 0.304 0.696
#> 155AEBBD-1C12-4F88-90C7-1C7FF7E3FB2C 2 0.2603 0.81683 0.044 0.956
#> D28DDCAA-682C-451F-8327-D2C2AFB044E2 2 0.5178 0.82366 0.116 0.884
#> 171523DC-2713-4EBF-A115-53A0BA174545 1 0.9608 0.70978 0.616 0.384
#> FD223304-87BA-4462-A5E5-01AB8C018C35 2 0.7376 0.78185 0.208 0.792
#> D8E06D8A-9063-4466-A3B0-7724F4737C7A 2 0.5629 0.81822 0.132 0.868
#> FFA5FFF7-6301-4CD8-8E63-A4D8294D1B0E 2 0.5629 0.82224 0.132 0.868
#> AF3648D6-C774-48CC-9428-ADC00402A562 1 0.9608 0.70978 0.616 0.384
#> BD406B65-B715-444E-95B4-F38D05BAC863 2 0.4298 0.81863 0.088 0.912
#> 6DB67CA1-0BEB-4585-9867-40E7C8A96D55 2 0.2236 0.81851 0.036 0.964
#> 49C9DE1D-784D-405A-9DD3-C4D2890D0309 1 0.9970 0.14489 0.532 0.468
#> 05EC4D30-D34E-4497-B4F4-80AEDC2E70DF 1 0.6148 0.70202 0.848 0.152
#> CB69E76B-7CD3-49EF-9ADF-75701FE1D0A8 2 0.8909 0.65016 0.308 0.692
#> 103C6E25-A69A-460E-81C0-7437547E1334 2 0.5294 0.82878 0.120 0.880
#> 2D986DB0-B5A8-42E8-ACB8-926A16FAABD6 2 0.0938 0.80527 0.012 0.988
#> 1B9A0F24-8A3F-4693-B09C-5F0EFE5A32A5 2 0.5294 0.82906 0.120 0.880
#> C064D1FE-753E-4493-907C-C5FFE19F9875 2 0.0672 0.81206 0.008 0.992
#> 71596860-AEFA-4B94-8ADE-AC33CEA24DD4 2 0.2236 0.81998 0.036 0.964
#> E9A3A454-AB4D-4683-B276-84DA43792DBB 2 0.9323 0.56660 0.348 0.652
#> C5717869-8413-4810-A042-32E949AD3B0A 2 0.6623 0.78574 0.172 0.828
#> F36B393E-859C-49F8-BDF4-ED2CEF4C6307 2 0.7745 0.76077 0.228 0.772
#> 4CC9D3F9-983F-4CB2-91F1-0FBB86D53DC3 2 0.6048 0.80820 0.148 0.852
#> D450F074-CA68-49CE-B0B3-F81A91D54867 2 0.7674 0.75247 0.224 0.776
#> 2BBD504E-FE90-4142-9204-0E33B6B56C7E 2 0.3733 0.82740 0.072 0.928
#> 1A457CBF-24DA-44F1-B9ED-F26B8D1245D4 2 0.0672 0.81128 0.008 0.992
#> F29B5A39-866E-4C9D-BC26-B726FEA5F576 2 0.9522 0.49821 0.372 0.628
#> 89A4972A-8C91-4272-96BE-BCA9BC447780 2 0.5178 0.82406 0.116 0.884
#> 70B014FD-A0D0-418C-B55F-D09BAE213D52 2 0.0672 0.81090 0.008 0.992
#> 8139F417-0548-40B4-851F-A4E149A2E06A 2 0.7453 0.75228 0.212 0.788
#> 6E9F0021-FA91-4516-9B04-6A978034CECF 2 0.7745 0.75786 0.228 0.772
#> 49DAF1CD-8E20-433B-91A7-8C885ACB21A5 2 0.6623 0.81073 0.172 0.828
#> 093765A6-145C-47C3-B87B-4560CD632B4C 2 0.2043 0.81868 0.032 0.968
#> 90731001-45B2-4601-93F5-064BDD519A30 1 0.9608 0.70978 0.616 0.384
#> 40BCB65D-BC26-4FEF-941F-6F4A42D475EB 2 0.5408 0.82397 0.124 0.876
#> 204317C4-B927-4CAC-AADF-E16D19410ADB 2 0.1184 0.81227 0.016 0.984
#> 1023707A-D6DE-432A-AD2D-2318C3F91FA2 2 0.0938 0.80527 0.012 0.988
#> 06F79E8E-50E3-485A-82E9-C7CD4C72333B 2 0.0938 0.80527 0.012 0.988
#> BFAF5464-D239-4A03-AC34-984DEBA84451 2 0.5178 0.82366 0.116 0.884
#> 96C7C73E-F3E1-4937-A267-B7DAAD8EDE37 2 0.3584 0.81866 0.068 0.932
#> 1D94B33B-9A3F-40BA-90AF-5248ED058C6F 2 0.3733 0.82626 0.072 0.928
#> 3407B68D-0277-465B-8819-10FAE3EE6572 1 0.9909 0.53328 0.556 0.444
#> 868CD0D0-1CB4-4F61-B4ED-EB0C93DD950F 2 0.5519 0.82053 0.128 0.872
#> 823383C2-6F4D-4C0C-8640-3981A7ED1226 2 0.9580 0.46454 0.380 0.620
#> 95B76301-6382-4F6E-9E09-60EEFEEA03D5 2 0.0938 0.80527 0.012 0.988
#> 50A46A4F-883E-4DAA-BD16-FCCC5FA3FCD9 2 0.4690 0.83259 0.100 0.900
#> 5037DC80-5E81-4281-89A0-E0B58071B1D9 1 0.9635 0.45678 0.612 0.388
#> 6A228156-7365-4A4D-8E66-AA687BF37A24 2 0.9954 0.16036 0.460 0.540
#> 868C82CD-CB45-4EC9-96A8-77F0F4E0D874 2 0.6343 0.81554 0.160 0.840
#> 28F5861F-7081-4CE8-A917-941FCB6206FA 2 0.2043 0.82419 0.032 0.968
#> 1ED41271-3AA4-43F1-B43C-0D5C4F918FB8 2 0.6148 0.81643 0.152 0.848
#> 5A879DD8-EB7F-4EB6-9A9A-6D62438D8B95 2 0.1843 0.81910 0.028 0.972
#> 8B55B4E4-9222-4F69-AD4A-A92AC948F05E 2 0.1843 0.82112 0.028 0.972
#> 1DCE9448-495E-46D3-8953-D733BD68DFE6 2 0.2423 0.81719 0.040 0.960
#> C922BF2A-2A98-47CC-9127-1C1A2E38A6B6 1 0.5629 0.69714 0.868 0.132
#> 3C14A318-E9ED-4383-9F57-E227D478B450 2 0.9850 0.31449 0.428 0.572
#> 183B0920-7505-4B65-A940-97021F11DDC1 2 0.9393 0.52806 0.356 0.644
#> CF8B38D4-717B-4F8A-8DA4-8B721E6DFB1C 2 0.2043 0.82116 0.032 0.968
#> 0C7BEFDE-507E-43B2-938D-5695FE462875 2 0.7950 0.75511 0.240 0.760
#> 940D45CC-1300-4E92-A79A-6EDC8118E9E2 2 0.9896 0.28365 0.440 0.560
#> 772D02BF-D8A6-4C99-8C82-5902DEB3A067 2 0.5408 0.82253 0.124 0.876
#> F5D71464-EFD6-4922-9BC9-2620A90DA6F4 2 0.0938 0.80527 0.012 0.988
#> 7C8BDCBF-68D3-4E03-B2D3-31D12CE2784D 2 0.3274 0.81930 0.060 0.940
#> 9DF2F46F-A133-4892-B895-3102F7ACA5DB 1 0.9608 0.70978 0.616 0.384
#> 8A7A65FE-1A7E-42E5-8A5A-55E7733521DA 2 0.4815 0.82466 0.104 0.896
#> 40566B4F-12CE-4FB2-9A64-4C59EC0793F2 1 0.9608 0.70978 0.616 0.384
#> 8E29A6F7-77BC-44EF-AB26-10FCA1187FFF 2 0.6343 0.81554 0.160 0.840
#> A358DF66-5BAE-42C2-8516-224E7CC40ED5 2 0.5629 0.82244 0.132 0.868
#> EB60E3E6-67CA-42E2-8D30-DAFFD763880B 2 0.4022 0.82820 0.080 0.920
#> 904813F9-5366-47D5-812A-6C4C8E7703C2 2 0.5519 0.82443 0.128 0.872
#> F192059C-1945-4C20-8076-2B0D1EDFE659 1 0.9608 0.70978 0.616 0.384
#> 2C19B0A6-347F-4BD4-8ECE-6AFDA076F63D 1 0.9608 0.70978 0.616 0.384
#> 20632EF0-B3E3-4CCF-BD24-D7E75FC20C33 2 0.9963 0.15811 0.464 0.536
#> E1006117-1BD4-478D-94A5-E0FA9D1D94E0 2 0.1184 0.81091 0.016 0.984
#> C25909B0-C3F8-42F5-BE45-898F113761F7 2 0.6148 0.80419 0.152 0.848
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#> 5F220E8D-9FF6-43E5-A27D-DA4FC75536E1 2 0.8443 0.69410 0.272 0.728
#> 3D3EA6CC-35F0-416E-9FC8-394D005A2B0B 1 0.9608 0.70978 0.616 0.384
#> B5B13A86-3B16-43AD-B329-2C5AD46A308F 1 0.6048 0.68184 0.852 0.148
#> 2EBC7BE8-627B-4767-A4FE-14E933E40C1C 2 0.7883 0.72743 0.236 0.764
#> E332A10A-4FB0-4122-BB48-3050E0F73502 2 0.3584 0.81147 0.068 0.932
#> 0FF95060-00C3-4B53-B46F-6242872C1465 2 0.0938 0.80527 0.012 0.988
#> 51875568-DA72-4A62-9A19-2A61860B83C3 2 0.3879 0.81554 0.076 0.924
#> C4DB90C8-EB0B-4071-BD4F-EEB37E8ADC26 2 0.5946 0.81458 0.144 0.856
#> 55F8E6BA-AF16-4514-8845-1FCACB758812 1 0.9608 0.70978 0.616 0.384
#> 7F9B2F13-F387-4A54-920A-62C23D9BFB77 2 0.0938 0.80527 0.012 0.988
#> 248E5BD8-0458-43A1-B5D1-BDA14558421F 1 0.9710 0.39471 0.600 0.400
#> B150AB08-9BE5-4DBB-AB30-80C09B319E6D 2 0.1184 0.80773 0.016 0.984
#> 4DC8E477-9AA6-41F7-A7BB-EEEFAFD33256 2 0.9044 0.60888 0.320 0.680
#> 327E0B69-E439-4161-BD58-2E22C5D3A76F 2 0.9552 0.43494 0.376 0.624
#> 50F9B130-6BE8-483C-828F-15445492B631 2 0.2043 0.81231 0.032 0.968
#> D57E89FF-CC54-4FE9-A99B-2E75D407AB91 2 0.9866 0.32735 0.432 0.568
#> 659F3E30-3F80-49AF-9713-824F8D42BA74 2 0.8386 0.72304 0.268 0.732
#> 29E8ADB9-3F5D-497A-9A6B-85218AE2DB14 2 0.9323 0.52760 0.348 0.652
#> 73B58A54-E759-44FE-8B84-70D60C78066D 2 0.9087 0.62235 0.324 0.676
#> 4001EE2D-F208-465E-B718-01CCB9BD1C17 2 0.7745 0.75070 0.228 0.772
#> AFE61E30-D425-40CC-BC57-C210A0D03EFE 1 0.5946 0.67924 0.856 0.144
#> C06D79D5-4D8A-47D3-97CE-0E9BA204347C 2 0.1414 0.80244 0.020 0.980
#> 3975BE32-7E20-4EFC-9122-FE468544C5D9 2 0.7815 0.75261 0.232 0.768
#> 0FDC5030-92FC-44B5-AE62-6EC3EA9290BB 1 0.9608 0.70978 0.616 0.384
#> 8E3F8687-B00B-4FA9-84F2-F731B169FC45 2 0.5519 0.82295 0.128 0.872
#> 45CEDF59-BC7A-4D86-8C2D-9A91AC141D30 1 0.9393 0.54298 0.644 0.356
#> 4043BFE7-72A7-4A95-8CB2-53FDD574B7EA 2 0.8267 0.73578 0.260 0.740
#> 64D465E7-0DB8-46A1-8BF2-BBF59D23B7EB 2 0.9209 0.23599 0.336 0.664
#> 9824DFB4-0A1A-4BA4-B2DC-5348DA3D3AE6 2 0.6887 0.78728 0.184 0.816
#> 50ECFB2A-FF9D-4A8A-91CB-3902D3B670A0 2 0.8443 0.69934 0.272 0.728
#> 755D805B-B9F4-41D3-ACA7-2BB599C3D529 2 0.4022 0.82718 0.080 0.920
#> 0BA34100-8588-47B5-A962-4BD1916645B6 1 0.9608 0.48177 0.616 0.384
#> 9CE2E8D4-1AD1-4546-AD5D-D58193F79096 1 0.9608 0.48177 0.616 0.384
#> 92D7DB12-B0E0-4072-98FB-34B112E7728D 2 0.9358 0.49694 0.352 0.648
#> 79FD2101-0A9A-4EA7-A773-5EA8693138D0 2 0.1184 0.80608 0.016 0.984
#> A3A8937A-0B0B-4A68-AE68-81DA9CF7F4FB 2 0.9963 0.18234 0.464 0.536
#> 3EB3C0F8-4CBC-41A7-81E4-4D8A565441A7 2 0.5946 0.80749 0.144 0.856
#> 77EE3B54-FD7A-4ACF-879C-31667ADCCC5B 2 0.0672 0.80726 0.008 0.992
#> 327B2123-6DD8-4263-87DE-EE917E911DD4 2 0.6712 0.77800 0.176 0.824
#> 198A6AD0-79CD-40F5-A622-18AFBE78F2D2 1 0.6887 0.69693 0.816 0.184
#> EEE29DE1-F88C-4184-B499-5E86E2D252C4 1 0.5946 0.67924 0.856 0.144
#> 1E95EA22-BC41-4AAE-AFCC-F9281989A785 2 0.8608 0.69181 0.284 0.716
#> CD3AC0E4-88A9-4084-A2BE-AEE722CF6AA3 2 0.9944 0.13178 0.456 0.544
#> 8D7FABA2-764D-4795-BB04-D9E69E9792B9 1 0.9954 0.15737 0.540 0.460
#> DAC07889-EE06-46E0-B1F1-833ECC0A48A9 2 0.0376 0.80982 0.004 0.996
#> E7B555A3-567B-4A44-8225-D269E73FB50B 2 0.5178 0.82299 0.116 0.884
#> 3CC95101-C35F-4761-9D41-3C35BD55B37E 2 0.0672 0.81203 0.008 0.992
#> F62E5A69-5E81-4B2A-8CC0-F4D6E188B187 1 0.5946 0.67924 0.856 0.144
#> C650633B-A369-4657-8693-FDFBF22BD34E 2 0.8608 0.62609 0.284 0.716
#> 5E514217-F0DB-49FD-9C5D-EB22628ED297 2 0.0938 0.80527 0.012 0.988
#> 6E1DB9BF-06FE-48B1-A2D8-EF2CE7591364 2 0.2778 0.82798 0.048 0.952
#> C9581CE3-58B6-45B4-B4B7-15F555FD84A4 2 0.6973 0.79556 0.188 0.812
#> F56C26ED-9358-485B-8867-EBA1CAA4E2A7 2 0.6247 0.80698 0.156 0.844
#> 45CA3F9E-40EE-43A4-AE57-FE51D4003844 2 0.5059 0.83081 0.112 0.888
#> 47EFA063-19C1-4E1F-ACE8-68D9BAD0B995 2 0.6048 0.81490 0.148 0.852
#> 8C30EA0F-0DA1-43C7-81AE-DE825A53F114 2 0.7883 0.72715 0.236 0.764
#> 2CE7477C-DD09-4B3A-AD65-C696BE8C9B11 1 0.5842 0.69905 0.860 0.140
#> 4DECB19A-290F-4CEB-BE25-AAF9B9E2B58F 1 0.6438 0.69958 0.836 0.164
#> 3DEA9B14-DF42-43A0-AC4A-32AE7A16218D 2 0.5059 0.82240 0.112 0.888
#> 9F57D45B-C62F-44C5-AB9D-0CB54BBA16F5 2 0.5737 0.81571 0.136 0.864
#> 54ACCFD9-A8D6-4E4C-9097-1A0BE258AA1B 1 0.6148 0.68470 0.848 0.152
#> 9EE67DE9-9B56-4773-8F6A-1036D31F568E 2 0.5408 0.81296 0.124 0.876
#> 1B1C9301-D6D6-4F6B-80A3-3603013AA951 2 0.2043 0.81231 0.032 0.968
#> DDDCDF00-FB0A-477B-891B-2EE5E0C8F61E 1 0.9608 0.70978 0.616 0.384
#> 34A3260D-AC4D-416F-ADF0-24013048BC46 2 0.6148 0.81384 0.152 0.848
#> 671C1840-9C1B-4AC1-9564-78802489F763 1 0.8763 0.60754 0.704 0.296
#> BA4F7841-9FC3-4CE6-ACA5-43FC36641640 1 0.6623 0.67252 0.828 0.172
#> 24A02CE5-28E7-457E-8B90-4EACA528B072 2 1.0000 -0.05047 0.500 0.500
#> C7008665-F6DE-48B4-A0E7-6C388B72C609 2 0.0938 0.80527 0.012 0.988
#> 50F984AB-95C1-4D7B-A787-418CBB59D165 2 0.7219 0.78963 0.200 0.800
#> 5FFD2A6A-ED8A-44A9-9FC1-3106341C284A 2 0.0938 0.80527 0.012 0.988
#> 7481630E-5CBA-4A4A-A16F-E327BCEE11D3 2 0.9491 0.50244 0.368 0.632
#> 7B3E6643-C148-4266-A3A3-80BAB713DD3E 2 0.0672 0.80744 0.008 0.992
#> BA8564FA-8D4D-4B2F-A178-63209F887A05 1 0.6531 0.70957 0.832 0.168
#> 2FB578F6-E8B7-434D-9720-D448A26C1EFD 2 0.9933 0.20872 0.452 0.548
#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 2 0.7745 0.73863 0.228 0.772
#> 740FCE46-8A4A-4A6A-B79F-78A63D28E313 2 0.1184 0.80832 0.016 0.984
#> 523A5832-0C42-44A4-A58F-7011C3A567DC 1 0.9608 0.70978 0.616 0.384
#> A2C68C81-7371-4E0C-BFD1-EA868A7C9499 2 0.3584 0.83124 0.068 0.932
#> 2EB7025A-D932-4238-BD60-609B25150029 2 0.6623 0.81073 0.172 0.828
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 2 0.1184 0.80832 0.016 0.984
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 2 0.2043 0.81868 0.032 0.968
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 2 0.0376 0.80982 0.004 0.996
#> F081EA01-ED14-491B-9620-BF8F10A7431D 2 0.5629 0.82224 0.132 0.868
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 2 0.2778 0.82520 0.048 0.952
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 2 0.4815 0.82168 0.104 0.896
#> B54639CE-F721-4908-B758-309F148AD3C2 2 0.3879 0.82815 0.076 0.924
#> EB4294E1-3FBC-495C-A041-829A654B59C5 1 0.9608 0.70978 0.616 0.384
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 2 0.9393 0.52806 0.356 0.644
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.0938 0.80527 0.012 0.988
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 2 0.6801 0.76920 0.180 0.820
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.0938 0.80527 0.012 0.988
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 2 0.9427 0.49626 0.360 0.640
#> D34036E4-1122-42AE-B20F-F4C8515872A0 2 0.0938 0.80527 0.012 0.988
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 2 0.0938 0.81214 0.012 0.988
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 2 0.9896 0.26786 0.440 0.560
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 1 0.9608 0.70978 0.616 0.384
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.1184 0.81518 0.016 0.984
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.0938 0.80527 0.012 0.988
#> F3C13430-405E-432E-8F3E-0DD18E86087E 2 0.5408 0.82881 0.124 0.876
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.1843 0.81497 0.028 0.972
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 2 0.9209 0.59152 0.336 0.664
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.0672 0.80988 0.008 0.992
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.0376 0.80982 0.004 0.996
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 1 0.5178 0.69464 0.884 0.116
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.4939 0.82311 0.108 0.892
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 2 0.9635 0.41003 0.388 0.612
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 2 0.8861 0.67638 0.304 0.696
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 2 0.9954 0.18759 0.460 0.540
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.5629 0.82339 0.132 0.868
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 1 0.9608 0.70978 0.616 0.384
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 1 0.9608 0.70978 0.616 0.384
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 2 0.4939 0.82318 0.108 0.892
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 2 0.4939 0.83092 0.108 0.892
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.3584 0.82925 0.068 0.932
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 2 0.6887 0.79173 0.184 0.816
#> 343F031B-0095-429D-8212-AD0581DBB05B 2 0.9358 0.55590 0.352 0.648
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 2 0.5059 0.82520 0.112 0.888
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.5946 0.67924 0.856 0.144
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 2 0.2043 0.82163 0.032 0.968
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 2 0.6531 0.81269 0.168 0.832
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 2 0.7299 0.77342 0.204 0.796
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.5408 0.81944 0.124 0.876
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.6048 0.81795 0.148 0.852
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.0672 0.81104 0.008 0.992
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 1 0.9608 0.70978 0.616 0.384
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.9833 0.33699 0.576 0.424
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 1 0.9608 0.70978 0.616 0.384
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 2 0.7745 0.76344 0.228 0.772
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 1 0.9608 0.70978 0.616 0.384
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.0938 0.80527 0.012 0.988
#> FC7821F4-6495-4545-A22A-764BB99B3F79 2 0.7219 0.74694 0.200 0.800
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.0938 0.80527 0.012 0.988
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.6247 0.81545 0.156 0.844
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.5737 0.81865 0.136 0.864
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.0672 0.81206 0.008 0.992
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 2 0.8016 0.74551 0.244 0.756
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 2 0.7528 0.77291 0.216 0.784
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.3114 0.82692 0.056 0.944
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 1 0.9608 0.70978 0.616 0.384
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 2 0.8555 0.71733 0.280 0.720
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.4431 0.83278 0.092 0.908
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 2 0.9795 0.31192 0.416 0.584
#> BEE081CA-8420-4314-88A0-286BB30FFD65 2 0.6801 0.80188 0.180 0.820
#> C464CD1D-4519-48E8-A18A-403F691E5702 2 0.7883 0.75116 0.236 0.764
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.5946 0.70111 0.856 0.144
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.5519 0.82242 0.128 0.872
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0938 0.81437 0.012 0.988
#> A563359B-0D55-4826-9229-62A89143C1C6 2 0.9393 0.50657 0.356 0.644
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 2 0.9686 0.41795 0.396 0.604
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.6437 0.6543 0.220 0.732 0.048
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 2 0.5981 0.6957 0.132 0.788 0.080
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 2 0.7386 0.3974 0.460 0.508 0.032
#> 91202998-760F-4421-B1C4-18639962EDDA 1 0.9140 0.3141 0.452 0.404 0.144
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.3207 0.7335 0.084 0.904 0.012
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 2 0.7199 0.6625 0.260 0.676 0.064
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 2 0.8054 0.4807 0.340 0.580 0.080
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.3965 0.7155 0.132 0.860 0.008
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.5036 0.7196 0.172 0.808 0.020
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.4663 0.7183 0.156 0.828 0.016
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 2 0.8308 0.3633 0.336 0.568 0.096
#> 784B2359-6064-4FAA-9311-7A852F061FBB 2 0.7030 0.2236 0.024 0.580 0.396
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 2 0.7114 0.4955 0.388 0.584 0.028
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 2 0.6232 0.6945 0.220 0.740 0.040
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.3293 0.8504 0.012 0.088 0.900
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.6057 0.6623 0.196 0.760 0.044
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.7091 0.3416 0.640 0.040 0.320
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 2 0.5961 0.7013 0.136 0.788 0.076
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 2 0.5292 0.6360 0.028 0.800 0.172
#> A08E2707-DDB0-40FE-828F-14720768FB05 2 0.8836 0.0523 0.368 0.508 0.124
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.4964 0.7246 0.116 0.836 0.048
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.5443 0.5655 0.260 0.736 0.004
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 2 0.7481 0.5590 0.296 0.640 0.064
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 3 0.6565 0.6617 0.232 0.048 0.720
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.5894 0.7017 0.220 0.752 0.028
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 2 0.7143 0.4877 0.396 0.576 0.028
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.4912 0.7092 0.196 0.796 0.008
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.7741 0.3227 0.116 0.668 0.216
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.3293 0.8504 0.012 0.088 0.900
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#> 4043BFE7-72A7-4A95-8CB2-53FDD574B7EA 1 0.7309 -0.1891 0.552 0.416 0.032
#> 64D465E7-0DB8-46A1-8BF2-BBF59D23B7EB 2 0.7966 0.2739 0.128 0.652 0.220
#> 9824DFB4-0A1A-4BA4-B2DC-5348DA3D3AE6 2 0.6138 0.6599 0.172 0.768 0.060
#> 50ECFB2A-FF9D-4A8A-91CB-3902D3B670A0 2 0.7308 0.4910 0.296 0.648 0.056
#> 755D805B-B9F4-41D3-ACA7-2BB599C3D529 2 0.4808 0.7121 0.188 0.804 0.008
#> 0BA34100-8588-47B5-A962-4BD1916645B6 1 0.8948 0.5925 0.568 0.208 0.224
#> 9CE2E8D4-1AD1-4546-AD5D-D58193F79096 1 0.8948 0.5925 0.568 0.208 0.224
#> 92D7DB12-B0E0-4072-98FB-34B112E7728D 2 0.9439 0.0367 0.276 0.500 0.224
#> 79FD2101-0A9A-4EA7-A773-5EA8693138D0 2 0.2860 0.7008 0.084 0.912 0.004
#> A3A8937A-0B0B-4A68-AE68-81DA9CF7F4FB 1 0.8649 0.4182 0.528 0.360 0.112
#> 3EB3C0F8-4CBC-41A7-81E4-4D8A565441A7 2 0.6291 0.6672 0.152 0.768 0.080
#> 77EE3B54-FD7A-4ACF-879C-31667ADCCC5B 2 0.1878 0.7070 0.044 0.952 0.004
#> 327B2123-6DD8-4263-87DE-EE917E911DD4 2 0.7227 0.6260 0.200 0.704 0.096
#> 198A6AD0-79CD-40F5-A622-18AFBE78F2D2 1 0.7616 0.4125 0.636 0.072 0.292
#> EEE29DE1-F88C-4184-B499-5E86E2D252C4 3 0.6565 0.6617 0.232 0.048 0.720
#> 1E95EA22-BC41-4AAE-AFCC-F9281989A785 2 0.8043 0.4424 0.324 0.592 0.084
#> CD3AC0E4-88A9-4084-A2BE-AEE722CF6AA3 2 0.9361 -0.2913 0.396 0.436 0.168
#> 8D7FABA2-764D-4795-BB04-D9E69E9792B9 1 0.9015 0.5044 0.508 0.348 0.144
#> DAC07889-EE06-46E0-B1F1-833ECC0A48A9 2 0.1525 0.7089 0.032 0.964 0.004
#> E7B555A3-567B-4A44-8225-D269E73FB50B 2 0.6565 0.6937 0.232 0.720 0.048
#> 3CC95101-C35F-4761-9D41-3C35BD55B37E 2 0.3253 0.7145 0.036 0.912 0.052
#> F62E5A69-5E81-4B2A-8CC0-F4D6E188B187 3 0.6565 0.6617 0.232 0.048 0.720
#> C650633B-A369-4657-8693-FDFBF22BD34E 2 0.8985 0.3071 0.220 0.564 0.216
#> 5E514217-F0DB-49FD-9C5D-EB22628ED297 2 0.2682 0.7010 0.076 0.920 0.004
#> 6E1DB9BF-06FE-48B1-A2D8-EF2CE7591364 2 0.3183 0.7262 0.076 0.908 0.016
#> C9581CE3-58B6-45B4-B4B7-15F555FD84A4 2 0.6765 0.6473 0.208 0.724 0.068
#> F56C26ED-9358-485B-8867-EBA1CAA4E2A7 2 0.6044 0.6620 0.172 0.772 0.056
#> 45CA3F9E-40EE-43A4-AE57-FE51D4003844 2 0.4810 0.7332 0.140 0.832 0.028
#> 47EFA063-19C1-4E1F-ACE8-68D9BAD0B995 2 0.6541 0.6867 0.212 0.732 0.056
#> 8C30EA0F-0DA1-43C7-81AE-DE825A53F114 2 0.8666 0.3897 0.152 0.584 0.264
#> 2CE7477C-DD09-4B3A-AD65-C696BE8C9B11 1 0.7084 0.3117 0.628 0.036 0.336
#> 4DECB19A-290F-4CEB-BE25-AAF9B9E2B58F 1 0.7301 0.3719 0.640 0.052 0.308
#> 3DEA9B14-DF42-43A0-AC4A-32AE7A16218D 2 0.7143 0.4877 0.396 0.576 0.028
#> 9F57D45B-C62F-44C5-AB9D-0CB54BBA16F5 2 0.7079 0.6283 0.104 0.720 0.176
#> 54ACCFD9-A8D6-4E4C-9097-1A0BE258AA1B 3 0.6853 0.6601 0.224 0.064 0.712
#> 9EE67DE9-9B56-4773-8F6A-1036D31F568E 2 0.6171 0.6859 0.144 0.776 0.080
#> 1B1C9301-D6D6-4F6B-80A3-3603013AA951 2 0.5036 0.6409 0.020 0.808 0.172
#> DDDCDF00-FB0A-477B-891B-2EE5E0C8F61E 3 0.3293 0.8504 0.012 0.088 0.900
#> 34A3260D-AC4D-416F-ADF0-24013048BC46 2 0.5852 0.6710 0.180 0.776 0.044
#> 671C1840-9C1B-4AC1-9564-78802489F763 1 0.8557 0.5714 0.608 0.180 0.212
#> BA4F7841-9FC3-4CE6-ACA5-43FC36641640 3 0.6933 0.6609 0.208 0.076 0.716
#> 24A02CE5-28E7-457E-8B90-4EACA528B072 1 0.9425 0.3920 0.432 0.392 0.176
#> C7008665-F6DE-48B4-A0E7-6C388B72C609 2 0.2772 0.6998 0.080 0.916 0.004
#> 50F984AB-95C1-4D7B-A787-418CBB59D165 2 0.7047 0.6387 0.204 0.712 0.084
#> 5FFD2A6A-ED8A-44A9-9FC1-3106341C284A 2 0.3349 0.6939 0.108 0.888 0.004
#> 7481630E-5CBA-4A4A-A16F-E327BCEE11D3 2 0.8472 0.2000 0.360 0.540 0.100
#> 7B3E6643-C148-4266-A3A3-80BAB713DD3E 2 0.2301 0.7063 0.060 0.936 0.004
#> BA8564FA-8D4D-4B2F-A178-63209F887A05 3 0.7806 0.4219 0.352 0.064 0.584
#> 2FB578F6-E8B7-434D-9720-D448A26C1EFD 2 0.8938 -0.2510 0.432 0.444 0.124
#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 2 0.7147 0.5703 0.228 0.696 0.076
#> 740FCE46-8A4A-4A6A-B79F-78A63D28E313 2 0.3784 0.6880 0.132 0.864 0.004
#> 523A5832-0C42-44A4-A58F-7011C3A567DC 3 0.3293 0.8504 0.012 0.088 0.900
#> A2C68C81-7371-4E0C-BFD1-EA868A7C9499 2 0.3539 0.7255 0.100 0.888 0.012
#> 2EB7025A-D932-4238-BD60-609B25150029 2 0.7386 0.3974 0.460 0.508 0.032
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 2 0.3682 0.6956 0.116 0.876 0.008
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 2 0.2774 0.7227 0.072 0.920 0.008
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 2 0.1525 0.7089 0.032 0.964 0.004
#> F081EA01-ED14-491B-9620-BF8F10A7431D 2 0.6482 0.6912 0.244 0.716 0.040
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 2 0.2584 0.7246 0.064 0.928 0.008
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 2 0.6452 0.6542 0.088 0.760 0.152
#> B54639CE-F721-4908-B758-309F148AD3C2 2 0.5253 0.7138 0.188 0.792 0.020
#> EB4294E1-3FBC-495C-A041-829A654B59C5 3 0.3293 0.8504 0.012 0.088 0.900
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 2 0.8425 0.2411 0.348 0.552 0.100
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.2682 0.7010 0.076 0.920 0.004
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 2 0.6458 0.6264 0.176 0.752 0.072
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.2772 0.6998 0.080 0.916 0.004
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 2 0.9322 0.0678 0.304 0.504 0.192
#> D34036E4-1122-42AE-B20F-F4C8515872A0 2 0.2860 0.7037 0.084 0.912 0.004
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 2 0.0983 0.7105 0.016 0.980 0.004
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 1 0.9144 0.2962 0.448 0.408 0.144
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 3 0.3293 0.8504 0.012 0.088 0.900
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.1015 0.7132 0.012 0.980 0.008
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.2682 0.7010 0.076 0.920 0.004
#> F3C13430-405E-432E-8F3E-0DD18E86087E 2 0.5092 0.7240 0.176 0.804 0.020
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.3918 0.7007 0.120 0.868 0.012
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 2 0.8283 0.2610 0.380 0.536 0.084
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.1525 0.7104 0.032 0.964 0.004
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.2152 0.7110 0.036 0.948 0.016
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 3 0.8410 0.3312 0.360 0.096 0.544
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.4810 0.7026 0.140 0.832 0.028
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 2 0.8784 0.0409 0.368 0.512 0.120
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 1 0.7234 0.1638 0.640 0.312 0.048
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 1 0.8892 0.2630 0.444 0.436 0.120
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.6254 0.7109 0.188 0.756 0.056
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.3293 0.8504 0.012 0.088 0.900
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.3293 0.8504 0.012 0.088 0.900
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 2 0.7129 0.4936 0.392 0.580 0.028
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 2 0.5020 0.7189 0.108 0.836 0.056
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.3141 0.7261 0.068 0.912 0.020
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 2 0.6151 0.6800 0.180 0.764 0.056
#> 343F031B-0095-429D-8212-AD0581DBB05B 2 0.8708 0.0756 0.404 0.488 0.108
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 2 0.6067 0.6957 0.236 0.736 0.028
#> 03A226C5-398D-41D2-BB72-C97A373CD512 3 0.6565 0.6617 0.232 0.048 0.720
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 2 0.3572 0.7191 0.040 0.900 0.060
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 2 0.7285 0.6370 0.320 0.632 0.048
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 2 0.6491 0.6242 0.216 0.732 0.052
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.5119 0.6931 0.152 0.816 0.032
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.6398 0.7009 0.192 0.748 0.060
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.1832 0.7114 0.036 0.956 0.008
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.3293 0.8504 0.012 0.088 0.900
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.9286 0.5663 0.504 0.312 0.184
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.3293 0.8504 0.012 0.088 0.900
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 2 0.7467 0.5741 0.320 0.624 0.056
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.3293 0.8504 0.012 0.088 0.900
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.2400 0.7041 0.064 0.932 0.004
#> FC7821F4-6495-4545-A22A-764BB99B3F79 2 0.6808 0.6019 0.184 0.732 0.084
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.2772 0.7005 0.080 0.916 0.004
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.6562 0.6948 0.184 0.744 0.072
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.5905 0.7018 0.184 0.772 0.044
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.1129 0.7104 0.020 0.976 0.004
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 2 0.7460 0.4007 0.440 0.524 0.036
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 2 0.7637 0.5614 0.320 0.616 0.064
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.3587 0.7272 0.088 0.892 0.020
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.3293 0.8504 0.012 0.088 0.900
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 2 0.7839 0.4726 0.380 0.560 0.060
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.5295 0.7291 0.156 0.808 0.036
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 2 0.9402 -0.2720 0.408 0.420 0.172
#> BEE081CA-8420-4314-88A0-286BB30FFD65 2 0.6542 0.6645 0.204 0.736 0.060
#> C464CD1D-4519-48E8-A18A-403F691E5702 2 0.7351 0.5984 0.268 0.664 0.068
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.7107 0.3031 0.624 0.036 0.340
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.6335 0.6956 0.240 0.724 0.036
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.1129 0.7123 0.020 0.976 0.004
#> A563359B-0D55-4826-9229-62A89143C1C6 2 0.9304 0.0810 0.300 0.508 0.192
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 2 0.8688 0.0825 0.372 0.516 0.112
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.5165 0.483600 0.352 0.636 0.008 0.004
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 2 0.6043 0.587316 0.200 0.696 0.096 0.008
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 1 0.7054 0.205582 0.588 0.236 0.172 0.004
#> 91202998-760F-4421-B1C4-18639962EDDA 1 0.7699 0.487379 0.552 0.268 0.152 0.028
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.3324 0.670764 0.136 0.852 0.012 0.000
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 2 0.6417 0.463272 0.388 0.540 0.072 0.000
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 2 0.7091 0.102274 0.448 0.448 0.096 0.008
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.4038 0.644043 0.136 0.828 0.032 0.004
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.5397 0.627522 0.244 0.708 0.044 0.004
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.5187 0.630417 0.228 0.728 0.040 0.004
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 1 0.7598 0.171269 0.460 0.396 0.128 0.016
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.7423 -0.000356 0.028 0.436 0.452 0.084
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 1 0.7405 0.054503 0.516 0.312 0.168 0.004
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 2 0.5857 0.550640 0.340 0.620 0.032 0.008
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.5414 0.928276 0.020 0.000 0.604 0.376
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.5497 0.505075 0.300 0.668 0.012 0.020
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.7866 0.145266 0.496 0.012 0.256 0.236
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 2 0.6638 0.544926 0.228 0.640 0.124 0.008
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 2 0.5497 0.501338 0.032 0.720 0.228 0.020
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.7535 0.312987 0.492 0.392 0.048 0.068
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.5001 0.638693 0.184 0.768 0.024 0.024
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.6924 0.322255 0.264 0.600 0.128 0.008
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 2 0.6703 0.310353 0.400 0.532 0.044 0.024
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 4 0.0712 0.767285 0.008 0.004 0.004 0.984
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.5558 0.580104 0.324 0.640 0.036 0.000
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 1 0.7375 0.071602 0.524 0.304 0.168 0.004
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.5860 0.589754 0.268 0.672 0.052 0.008
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.5398 0.362311 0.020 0.668 0.008 0.304
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.5414 0.928276 0.020 0.000 0.604 0.376
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.5857 0.550640 0.340 0.620 0.032 0.008
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 2 0.4990 0.625940 0.108 0.788 0.096 0.008
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 2 0.6401 0.391154 0.364 0.572 0.056 0.008
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.4148 0.588597 0.016 0.816 0.156 0.012
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.2101 0.648421 0.060 0.928 0.012 0.000
#> 2846A3AC-D102-4E37-9B72-139ED727157A 2 0.3554 0.663317 0.136 0.844 0.020 0.000
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.5608 0.527350 0.300 0.664 0.020 0.016
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 1 0.7694 0.496101 0.556 0.260 0.156 0.028
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.8179 0.455239 0.564 0.108 0.224 0.104
#> 150F5B77-4848-4D68-800A-0A0236C3661F 2 0.6169 0.518143 0.296 0.632 0.068 0.004
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.7613 0.374827 0.512 0.364 0.060 0.064
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.4219 0.631083 0.136 0.820 0.040 0.004
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.2021 0.647202 0.056 0.932 0.012 0.000
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#> D57E89FF-CC54-4FE9-A99B-2E75D407AB91 1 0.7090 0.477927 0.580 0.296 0.108 0.016
#> 659F3E30-3F80-49AF-9713-824F8D42BA74 1 0.7091 -0.112729 0.448 0.448 0.096 0.008
#> 29E8ADB9-3F5D-497A-9A6B-85218AE2DB14 1 0.8628 0.296401 0.412 0.380 0.132 0.076
#> 73B58A54-E759-44FE-8B84-70D60C78066D 1 0.7414 0.267704 0.508 0.352 0.128 0.012
#> 4001EE2D-F208-465E-B718-01CCB9BD1C17 2 0.6347 0.346780 0.360 0.584 0.020 0.036
#> AFE61E30-D425-40CC-BC57-C210A0D03EFE 4 0.0712 0.767285 0.008 0.004 0.004 0.984
#> C06D79D5-4D8A-47D3-97CE-0E9BA204347C 2 0.6694 0.272755 0.088 0.560 0.348 0.004
#> 3975BE32-7E20-4EFC-9122-FE468544C5D9 2 0.7124 0.353357 0.340 0.548 0.096 0.016
#> 0FDC5030-92FC-44B5-AE62-6EC3EA9290BB 3 0.5414 0.928276 0.020 0.000 0.604 0.376
#> 8E3F8687-B00B-4FA9-84F2-F731B169FC45 2 0.5527 0.565462 0.356 0.616 0.028 0.000
#> 45CEDF59-BC7A-4D86-8C2D-9A91AC141D30 1 0.7074 0.414133 0.624 0.060 0.256 0.060
#> 4043BFE7-72A7-4A95-8CB2-53FDD574B7EA 1 0.6748 0.335489 0.648 0.156 0.184 0.012
#> 64D465E7-0DB8-46A1-8BF2-BBF59D23B7EB 2 0.5603 0.321641 0.024 0.644 0.008 0.324
#> 9824DFB4-0A1A-4BA4-B2DC-5348DA3D3AE6 2 0.5845 0.520608 0.260 0.684 0.028 0.028
#> 50ECFB2A-FF9D-4A8A-91CB-3902D3B670A0 2 0.6504 0.198601 0.396 0.544 0.016 0.044
#> 755D805B-B9F4-41D3-ACA7-2BB599C3D529 2 0.5707 0.597667 0.268 0.680 0.044 0.008
#> 0BA34100-8588-47B5-A962-4BD1916645B6 1 0.6882 0.456291 0.624 0.084 0.264 0.028
#> 9CE2E8D4-1AD1-4546-AD5D-D58193F79096 1 0.6882 0.456291 0.624 0.084 0.264 0.028
#> 92D7DB12-B0E0-4072-98FB-34B112E7728D 1 0.8940 0.304432 0.376 0.364 0.188 0.072
#> 79FD2101-0A9A-4EA7-A773-5EA8693138D0 2 0.2515 0.644771 0.072 0.912 0.012 0.004
#> A3A8937A-0B0B-4A68-AE68-81DA9CF7F4FB 1 0.6879 0.530729 0.628 0.220 0.140 0.012
#> 3EB3C0F8-4CBC-41A7-81E4-4D8A565441A7 2 0.6558 0.472262 0.260 0.632 0.100 0.008
#> 77EE3B54-FD7A-4ACF-879C-31667ADCCC5B 2 0.1396 0.652589 0.032 0.960 0.004 0.004
#> 327B2123-6DD8-4263-87DE-EE917E911DD4 2 0.7353 0.353588 0.304 0.552 0.128 0.016
#> 198A6AD0-79CD-40F5-A622-18AFBE78F2D2 1 0.8216 0.232630 0.504 0.036 0.252 0.208
#> EEE29DE1-F88C-4184-B499-5E86E2D252C4 4 0.0712 0.767285 0.008 0.004 0.004 0.984
#> 1E95EA22-BC41-4AAE-AFCC-F9281989A785 1 0.7041 0.057739 0.468 0.432 0.092 0.008
#> CD3AC0E4-88A9-4084-A2BE-AEE722CF6AA3 1 0.8269 0.451869 0.496 0.324 0.088 0.092
#> 8D7FABA2-764D-4795-BB04-D9E69E9792B9 1 0.7990 0.541103 0.568 0.240 0.120 0.072
#> DAC07889-EE06-46E0-B1F1-833ECC0A48A9 2 0.1059 0.654641 0.016 0.972 0.012 0.000
#> E7B555A3-567B-4A44-8225-D269E73FB50B 2 0.5865 0.559618 0.340 0.612 0.048 0.000
#> 3CC95101-C35F-4761-9D41-3C35BD55B37E 2 0.2927 0.653009 0.024 0.900 0.068 0.008
#> F62E5A69-5E81-4B2A-8CC0-F4D6E188B187 4 0.0712 0.767285 0.008 0.004 0.004 0.984
#> C650633B-A369-4657-8693-FDFBF22BD34E 2 0.8756 -0.043977 0.328 0.432 0.172 0.068
#> 5E514217-F0DB-49FD-9C5D-EB22628ED297 2 0.2408 0.646638 0.060 0.920 0.016 0.004
#> 6E1DB9BF-06FE-48B1-A2D8-EF2CE7591364 2 0.3495 0.653555 0.140 0.844 0.016 0.000
#> C9581CE3-58B6-45B4-B4B7-15F555FD84A4 2 0.6585 0.444927 0.320 0.588 0.088 0.004
#> F56C26ED-9358-485B-8867-EBA1CAA4E2A7 2 0.5680 0.506837 0.280 0.676 0.016 0.028
#> 45CA3F9E-40EE-43A4-AE57-FE51D4003844 2 0.4426 0.661538 0.196 0.780 0.020 0.004
#> 47EFA063-19C1-4E1F-ACE8-68D9BAD0B995 2 0.5790 0.530626 0.340 0.616 0.044 0.000
#> 8C30EA0F-0DA1-43C7-81AE-DE825A53F114 2 0.8476 0.164742 0.228 0.464 0.268 0.040
#> 2CE7477C-DD09-4B3A-AD65-C696BE8C9B11 1 0.7926 0.107041 0.484 0.012 0.244 0.260
#> 4DECB19A-290F-4CEB-BE25-AAF9B9E2B58F 1 0.8088 0.181983 0.496 0.024 0.256 0.224
#> 3DEA9B14-DF42-43A0-AC4A-32AE7A16218D 1 0.7375 0.071602 0.524 0.304 0.168 0.004
#> 9F57D45B-C62F-44C5-AB9D-0CB54BBA16F5 2 0.7356 0.438914 0.184 0.604 0.188 0.024
#> 54ACCFD9-A8D6-4E4C-9097-1A0BE258AA1B 4 0.1854 0.760245 0.020 0.024 0.008 0.948
#> 9EE67DE9-9B56-4773-8F6A-1036D31F568E 2 0.6475 0.515855 0.240 0.648 0.104 0.008
#> 1B1C9301-D6D6-4F6B-80A3-3603013AA951 2 0.5174 0.506778 0.020 0.736 0.224 0.020
#> DDDCDF00-FB0A-477B-891B-2EE5E0C8F61E 3 0.5414 0.928276 0.020 0.000 0.604 0.376
#> 34A3260D-AC4D-416F-ADF0-24013048BC46 2 0.5585 0.509975 0.296 0.668 0.016 0.020
#> 671C1840-9C1B-4AC1-9564-78802489F763 1 0.8666 0.438949 0.528 0.116 0.184 0.172
#> BA4F7841-9FC3-4CE6-ACA5-43FC36641640 4 0.1822 0.747710 0.008 0.044 0.004 0.944
#> 24A02CE5-28E7-457E-8B90-4EACA528B072 1 0.8298 0.495695 0.524 0.280 0.096 0.100
#> C7008665-F6DE-48B4-A0E7-6C388B72C609 2 0.2441 0.643497 0.068 0.916 0.012 0.004
#> 50F984AB-95C1-4D7B-A787-418CBB59D165 2 0.6979 0.420750 0.300 0.576 0.116 0.008
#> 5FFD2A6A-ED8A-44A9-9FC1-3106341C284A 2 0.3583 0.632028 0.092 0.864 0.040 0.004
#> 7481630E-5CBA-4A4A-A16F-E327BCEE11D3 1 0.7332 0.208937 0.472 0.428 0.044 0.056
#> 7B3E6643-C148-4266-A3A3-80BAB713DD3E 2 0.1985 0.651438 0.040 0.940 0.016 0.004
#> BA8564FA-8D4D-4B2F-A178-63209F887A05 4 0.7719 0.357305 0.196 0.056 0.148 0.600
#> 2FB578F6-E8B7-434D-9720-D448A26C1EFD 1 0.7828 0.435348 0.520 0.336 0.076 0.068
#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 2 0.6519 0.357650 0.336 0.596 0.028 0.040
#> 740FCE46-8A4A-4A6A-B79F-78A63D28E313 2 0.4911 0.593362 0.168 0.776 0.048 0.008
#> 523A5832-0C42-44A4-A58F-7011C3A567DC 3 0.5414 0.928276 0.020 0.000 0.604 0.376
#> A2C68C81-7371-4E0C-BFD1-EA868A7C9499 2 0.3972 0.649159 0.152 0.824 0.016 0.008
#> 2EB7025A-D932-4238-BD60-609B25150029 1 0.7054 0.205582 0.588 0.236 0.172 0.004
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 2 0.4090 0.625654 0.116 0.836 0.040 0.008
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 2 0.3344 0.665548 0.108 0.868 0.020 0.004
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 2 0.1059 0.654641 0.016 0.972 0.012 0.000
#> F081EA01-ED14-491B-9620-BF8F10A7431D 2 0.5855 0.553712 0.356 0.600 0.044 0.000
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 2 0.2796 0.665574 0.096 0.892 0.008 0.004
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 2 0.6915 0.473617 0.148 0.636 0.200 0.016
#> B54639CE-F721-4908-B758-309F148AD3C2 2 0.5600 0.615059 0.264 0.688 0.040 0.008
#> EB4294E1-3FBC-495C-A041-829A654B59C5 3 0.5414 0.928276 0.020 0.000 0.604 0.376
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 1 0.7338 0.167594 0.460 0.440 0.044 0.056
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.2287 0.646218 0.060 0.924 0.012 0.004
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 2 0.6083 0.446269 0.284 0.656 0.024 0.036
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.2441 0.643497 0.068 0.916 0.012 0.004
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 1 0.8767 0.299066 0.400 0.376 0.144 0.080
#> D34036E4-1122-42AE-B20F-F4C8515872A0 2 0.2402 0.651714 0.076 0.912 0.012 0.000
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 2 0.0844 0.654702 0.004 0.980 0.012 0.004
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 1 0.7534 0.484827 0.564 0.268 0.144 0.024
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 3 0.5414 0.928276 0.020 0.000 0.604 0.376
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.0992 0.656629 0.012 0.976 0.004 0.008
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.2287 0.646218 0.060 0.924 0.012 0.004
#> F3C13430-405E-432E-8F3E-0DD18E86087E 2 0.5142 0.632321 0.256 0.712 0.028 0.004
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.4130 0.630107 0.136 0.824 0.036 0.004
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 1 0.7182 0.204398 0.496 0.412 0.052 0.040
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.0707 0.655404 0.020 0.980 0.000 0.000
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.1816 0.657697 0.024 0.948 0.024 0.004
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 4 0.6394 0.455468 0.208 0.068 0.036 0.688
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.4694 0.595490 0.220 0.756 0.012 0.012
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.7565 0.310278 0.480 0.404 0.060 0.056
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 1 0.5452 0.374094 0.748 0.068 0.172 0.012
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 1 0.7925 0.463548 0.524 0.320 0.092 0.064
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.5991 0.609142 0.256 0.672 0.064 0.008
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.5414 0.928276 0.020 0.000 0.604 0.376
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.5414 0.928276 0.020 0.000 0.604 0.376
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 1 0.7390 0.061412 0.520 0.308 0.168 0.004
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 2 0.5253 0.625490 0.200 0.740 0.056 0.004
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.2911 0.664200 0.072 0.900 0.012 0.016
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 2 0.6044 0.529249 0.256 0.672 0.060 0.012
#> 343F031B-0095-429D-8212-AD0581DBB05B 1 0.7572 0.388393 0.536 0.304 0.140 0.020
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 2 0.5823 0.562301 0.344 0.616 0.036 0.004
#> 03A226C5-398D-41D2-BB72-C97A373CD512 4 0.0712 0.767285 0.008 0.004 0.004 0.984
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 2 0.4665 0.635108 0.104 0.804 0.088 0.004
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 2 0.6436 0.398038 0.448 0.492 0.056 0.004
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 2 0.6052 0.416083 0.328 0.624 0.024 0.024
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.4912 0.575641 0.232 0.740 0.012 0.016
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.6103 0.568989 0.296 0.640 0.056 0.008
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.1484 0.657453 0.020 0.960 0.016 0.004
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.5414 0.928276 0.020 0.000 0.604 0.376
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.8569 0.549410 0.528 0.224 0.140 0.108
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.5414 0.928276 0.020 0.000 0.604 0.376
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 2 0.7079 0.247813 0.420 0.476 0.096 0.008
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.5414 0.928276 0.020 0.000 0.604 0.376
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.1888 0.649309 0.044 0.940 0.016 0.000
#> FC7821F4-6495-4545-A22A-764BB99B3F79 2 0.6383 0.410379 0.292 0.636 0.028 0.044
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.2485 0.645463 0.064 0.916 0.016 0.004
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.6408 0.571651 0.264 0.648 0.072 0.016
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.5646 0.573538 0.296 0.656 0.048 0.000
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.0779 0.654734 0.016 0.980 0.004 0.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 1 0.7470 0.150433 0.524 0.344 0.108 0.024
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 2 0.7242 0.208835 0.408 0.472 0.112 0.008
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.3554 0.663317 0.136 0.844 0.020 0.000
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.5414 0.928276 0.020 0.000 0.604 0.376
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 1 0.6854 0.079138 0.532 0.376 0.084 0.008
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.5358 0.645899 0.220 0.724 0.052 0.004
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 1 0.8000 0.485039 0.524 0.264 0.180 0.032
#> BEE081CA-8420-4314-88A0-286BB30FFD65 2 0.6299 0.465093 0.320 0.600 0.080 0.000
#> C464CD1D-4519-48E8-A18A-403F691E5702 2 0.6494 0.372356 0.392 0.548 0.044 0.016
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.7960 0.095731 0.476 0.012 0.244 0.268
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.5632 0.569929 0.340 0.624 0.036 0.000
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0844 0.655614 0.012 0.980 0.004 0.004
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.8749 0.294601 0.400 0.376 0.148 0.076
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.7632 0.275752 0.468 0.412 0.056 0.064
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.6098 0.36524 0.104 0.592 0.008 0.008 0.288
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 2 0.6322 0.36184 0.064 0.628 0.044 0.016 0.248
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 5 0.4612 0.43785 0.060 0.112 0.000 0.044 0.784
#> 91202998-760F-4421-B1C4-18639962EDDA 1 0.7712 0.02466 0.404 0.224 0.052 0.004 0.316
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.3340 0.53929 0.016 0.824 0.000 0.004 0.156
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 5 0.5885 -0.11401 0.036 0.464 0.020 0.008 0.472
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 2 0.7464 -0.21464 0.180 0.400 0.036 0.008 0.376
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.3653 0.49518 0.016 0.808 0.000 0.012 0.164
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.4268 0.43702 0.000 0.648 0.000 0.008 0.344
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.4165 0.44807 0.000 0.672 0.000 0.008 0.320
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 5 0.7385 0.39831 0.216 0.312 0.032 0.004 0.436
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.9183 0.10388 0.140 0.212 0.404 0.148 0.096
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 5 0.4695 0.45289 0.024 0.184 0.000 0.044 0.748
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 2 0.5938 0.38425 0.052 0.580 0.016 0.012 0.340
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0000 0.92575 0.000 0.000 1.000 0.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.5882 0.40923 0.100 0.640 0.004 0.016 0.240
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.5150 0.44607 0.760 0.008 0.112 0.052 0.068
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 2 0.6853 0.21077 0.068 0.536 0.028 0.036 0.332
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 2 0.7130 0.27134 0.032 0.616 0.160 0.076 0.116
#> A08E2707-DDB0-40FE-828F-14720768FB05 2 0.7929 -0.12759 0.320 0.376 0.036 0.020 0.248
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.5259 0.49839 0.060 0.724 0.016 0.016 0.184
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#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.2304 0.51363 0.000 0.892 0.000 0.008 0.100
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.6161 0.36446 0.040 0.592 0.032 0.020 0.316
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.5404 0.37281 0.048 0.604 0.012 0.000 0.336
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.0693 0.53578 0.000 0.980 0.000 0.008 0.012
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 5 0.6883 0.38613 0.168 0.264 0.004 0.028 0.536
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 5 0.6794 0.26217 0.124 0.380 0.024 0.004 0.468
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.3830 0.53755 0.028 0.816 0.004 0.012 0.140
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0000 0.92575 0.000 0.000 1.000 0.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 5 0.6680 0.38342 0.184 0.308 0.012 0.000 0.496
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.5044 0.44403 0.036 0.668 0.016 0.000 0.280
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 5 0.7869 0.03372 0.352 0.192 0.064 0.008 0.384
#> BEE081CA-8420-4314-88A0-286BB30FFD65 2 0.6367 0.20093 0.092 0.528 0.020 0.004 0.356
#> C464CD1D-4519-48E8-A18A-403F691E5702 2 0.7071 0.23703 0.128 0.508 0.028 0.016 0.320
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.5263 0.41449 0.752 0.008 0.116 0.068 0.056
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.5318 0.34795 0.024 0.560 0.012 0.004 0.400
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0693 0.53717 0.000 0.980 0.000 0.012 0.008
#> A563359B-0D55-4826-9229-62A89143C1C6 2 0.8898 -0.16467 0.256 0.332 0.136 0.028 0.248
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 2 0.7829 -0.06082 0.316 0.396 0.032 0.020 0.236
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.5724 0.32098 0.128 0.560 0.000 0.000 0.292 0.020
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 2 0.6583 0.24100 0.060 0.564 0.024 0.004 0.248 0.100
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 5 0.4639 0.34408 0.072 0.072 0.000 0.008 0.764 0.084
#> 91202998-760F-4421-B1C4-18639962EDDA 1 0.7109 0.06262 0.444 0.188 0.020 0.000 0.292 0.056
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.3503 0.51748 0.032 0.808 0.000 0.000 0.144 0.016
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 5 0.5948 0.02229 0.036 0.416 0.012 0.004 0.480 0.052
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 5 0.7149 0.29387 0.192 0.356 0.012 0.004 0.384 0.052
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.3786 0.45731 0.004 0.772 0.000 0.000 0.172 0.052
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.4341 0.39866 0.004 0.616 0.000 0.000 0.356 0.024
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.4105 0.41033 0.000 0.632 0.000 0.000 0.348 0.020
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 5 0.7526 0.36854 0.220 0.272 0.012 0.004 0.400 0.092
#> 784B2359-6064-4FAA-9311-7A852F061FBB 6 0.4302 0.05434 0.000 0.016 0.276 0.000 0.024 0.684
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 5 0.4701 0.33143 0.036 0.124 0.000 0.008 0.748 0.084
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 2 0.5423 0.32382 0.068 0.540 0.004 0.000 0.372 0.016
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0000 0.94537 0.000 0.000 1.000 0.000 0.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.5890 0.37042 0.120 0.600 0.004 0.008 0.244 0.024
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.3071 0.36841 0.876 0.004 0.016 0.048 0.028 0.028
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 2 0.7091 -0.03408 0.048 0.432 0.012 0.004 0.296 0.208
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 6 0.6082 0.56210 0.000 0.424 0.068 0.004 0.056 0.448
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.6934 0.21705 0.376 0.348 0.004 0.020 0.236 0.016
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.5358 0.44418 0.096 0.692 0.000 0.012 0.156 0.044
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.5374 -0.02689 0.004 0.492 0.000 0.008 0.424 0.072
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 2 0.6409 0.21101 0.172 0.484 0.012 0.008 0.316 0.008
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 4 0.0458 0.89729 0.016 0.000 0.000 0.984 0.000 0.000
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.4820 0.32749 0.020 0.540 0.004 0.000 0.420 0.016
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 5 0.4620 0.33730 0.036 0.116 0.000 0.008 0.756 0.084
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.4969 0.32726 0.024 0.564 0.000 0.000 0.380 0.032
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.5118 0.01025 0.004 0.620 0.004 0.304 0.012 0.056
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.0000 0.94537 0.000 0.000 1.000 0.000 0.000 0.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.5423 0.32382 0.068 0.540 0.004 0.000 0.372 0.016
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 2 0.6290 0.00790 0.036 0.544 0.004 0.004 0.144 0.268
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 2 0.6541 0.11654 0.164 0.464 0.012 0.000 0.332 0.028
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.5191 -0.06357 0.000 0.632 0.056 0.004 0.028 0.280
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.2288 0.49237 0.000 0.896 0.000 0.004 0.072 0.028
#> 2846A3AC-D102-4E37-9B72-139ED727157A 2 0.3670 0.51826 0.028 0.796 0.000 0.000 0.152 0.024
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.5717 0.38092 0.104 0.600 0.000 0.004 0.260 0.032
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 1 0.7108 0.06682 0.440 0.184 0.020 0.000 0.300 0.056
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.4976 0.47087 0.740 0.080 0.016 0.004 0.124 0.036
#> 150F5B77-4848-4D68-800A-0A0236C3661F 2 0.5465 0.22940 0.028 0.532 0.000 0.004 0.384 0.052
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.6871 0.26559 0.416 0.320 0.004 0.020 0.224 0.016
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.3812 0.45153 0.004 0.760 0.000 0.008 0.204 0.024
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.2094 0.48642 0.000 0.908 0.000 0.004 0.064 0.024
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 1 0.5308 0.39878 0.684 0.044 0.020 0.000 0.200 0.052
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 2 0.4823 0.27320 0.028 0.504 0.008 0.000 0.456 0.004
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.6064 0.36983 0.124 0.612 0.004 0.016 0.212 0.032
#> 1447B543-D3AC-41B5-878F-B382FE49421B 1 0.6587 0.21795 0.408 0.300 0.004 0.000 0.268 0.020
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 2 0.6802 0.14476 0.264 0.456 0.004 0.016 0.240 0.020
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 2 0.6633 0.16089 0.088 0.504 0.012 0.004 0.320 0.072
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.0000 0.94537 0.000 0.000 1.000 0.000 0.000 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 2 0.6879 0.18363 0.056 0.540 0.028 0.004 0.228 0.144
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 2 0.6230 -0.23919 0.004 0.392 0.000 0.004 0.372 0.228
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.3862 0.46502 0.836 0.052 0.012 0.036 0.044 0.020
#> D9225689-21E0-478A-8F79-C26542938B8D 2 0.5808 0.29143 0.040 0.540 0.012 0.008 0.364 0.036
#> FC3BA46D-57F6-424C-8D62-16C441035969 2 0.4131 0.39075 0.000 0.600 0.000 0.000 0.384 0.016
#> 045CFFE6-4736-42F2-9340-C37690E47882 3 0.0000 0.94537 0.000 0.000 1.000 0.000 0.000 0.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 5 0.4639 0.34408 0.072 0.072 0.000 0.008 0.764 0.084
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 2 0.5301 0.34985 0.088 0.576 0.000 0.000 0.324 0.012
#> E94B217F-C5DC-4F42-8135-E81F338914B5 6 0.5281 0.27706 0.000 0.116 0.088 0.000 0.100 0.696
#> AE4C3956-76DF-4059-8D69-3D764F31817F 2 0.3848 0.42825 0.000 0.736 0.000 0.000 0.224 0.040
#> 33D6A38E-CD99-437B-99E0-04E72582F777 2 0.6995 -0.03118 0.068 0.420 0.012 0.004 0.368 0.128
#> 8379051C-5847-42B5-AC5C-A128C166AB97 2 0.7246 -0.11835 0.072 0.424 0.016 0.000 0.292 0.196
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 2 0.6876 0.02476 0.040 0.468 0.012 0.004 0.288 0.188
#> 40A16429-229E-4F40-BFC7-263554438F99 2 0.4589 0.37339 0.008 0.580 0.000 0.000 0.384 0.028
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 2 0.4912 0.30465 0.024 0.564 0.004 0.000 0.388 0.020
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 2 0.6239 0.16175 0.040 0.496 0.016 0.008 0.380 0.060
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 1 0.7198 0.30171 0.452 0.232 0.012 0.004 0.236 0.064
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 2 0.7709 -0.27417 0.096 0.368 0.012 0.020 0.348 0.156
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.3058 0.53011 0.012 0.848 0.000 0.000 0.104 0.036
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 2 0.7235 -0.06056 0.072 0.456 0.012 0.008 0.284 0.168
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 2 0.6230 -0.23919 0.004 0.392 0.000 0.004 0.372 0.228
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 2 0.2418 0.46670 0.000 0.884 0.004 0.008 0.008 0.096
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.2954 0.51051 0.000 0.852 0.004 0.000 0.096 0.048
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 2 0.4708 0.38655 0.008 0.596 0.000 0.000 0.356 0.040
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 2 0.7415 -0.28815 0.124 0.368 0.012 0.004 0.368 0.124
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 2 0.6373 0.32382 0.152 0.560 0.004 0.016 0.240 0.028
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 2 0.6611 0.22669 0.052 0.504 0.020 0.004 0.328 0.092
#> FDB47AC4-CE6A-428B-9B55-EBCEF1970ACB 5 0.6336 0.26170 0.092 0.336 0.008 0.004 0.512 0.048
#> 133B7E7B-FD50-48A2-9A35-E6D44FAB976B 2 0.4981 0.29076 0.032 0.516 0.000 0.000 0.432 0.020
#> E69E45DA-66A6-438A-9BFC-5F1F7F5C5A87 5 0.7289 0.37939 0.216 0.244 0.012 0.004 0.448 0.076
#> 6E242DF5-8B8B-4C6F-870E-C7ADFFAFDF3E 2 0.3598 0.47177 0.004 0.804 0.000 0.004 0.136 0.052
#> CB7BBFF1-4BF3-42A9-85C6-680D91503799 2 0.7667 -0.29289 0.104 0.368 0.008 0.020 0.348 0.152
#> 70AA4670-C75B-4E39-8958-3F9C29811871 2 0.5381 0.33995 0.040 0.576 0.004 0.008 0.348 0.024
#> D63C5178-4FF7-4FD0-B87E-6CBF6E7BEF5B 2 0.2209 0.48352 0.000 0.900 0.000 0.004 0.072 0.024
#> 814391F8-C5B9-43F6-A330-A6749BB8F16E 2 0.5597 0.32140 0.040 0.584 0.012 0.004 0.324 0.036
#> 146ED7EA-BF3C-4BAB-B33C-0A668AB13C80 5 0.7427 0.34333 0.248 0.248 0.012 0.000 0.400 0.092
#> FD5CAFE8-E669-406A-A505-A47DCDC32E93 5 0.6206 0.26799 0.048 0.316 0.012 0.004 0.544 0.076
#> 4B3C7910-A652-45B5-8218-9002EB0FD9EB 2 0.4604 0.39204 0.004 0.656 0.000 0.004 0.288 0.048
#> E410F77D-E31F-4D73-ACAC-9245935A92F5 5 0.4639 0.34408 0.072 0.072 0.000 0.008 0.764 0.084
#> 64336403-9037-480C-873A-67BC77119FA5 2 0.4901 0.44860 0.124 0.704 0.000 0.000 0.148 0.024
#> 6F9D5013-3B1B-41EE-85DB-E51F5D828DEF 5 0.7371 0.35553 0.220 0.328 0.020 0.000 0.368 0.064
#> 155AEBBD-1C12-4F88-90C7-1C7FF7E3FB2C 2 0.6390 -0.58052 0.000 0.428 0.068 0.008 0.076 0.420
#> D28DDCAA-682C-451F-8327-D2C2AFB044E2 2 0.4855 0.28430 0.020 0.504 0.004 0.000 0.456 0.016
#> 171523DC-2713-4EBF-A115-53A0BA174545 3 0.0000 0.94537 0.000 0.000 1.000 0.000 0.000 0.000
#> FD223304-87BA-4462-A5E5-01AB8C018C35 2 0.7486 -0.00644 0.096 0.424 0.036 0.004 0.328 0.112
#> D8E06D8A-9063-4466-A3B0-7724F4737C7A 2 0.7860 -0.14649 0.072 0.408 0.060 0.004 0.176 0.280
#> FFA5FFF7-6301-4CD8-8E63-A4D8294D1B0E 5 0.4788 -0.23019 0.016 0.480 0.004 0.000 0.484 0.016
#> AF3648D6-C774-48CC-9428-ADC00402A562 3 0.0000 0.94537 0.000 0.000 1.000 0.000 0.000 0.000
#> BD406B65-B715-444E-95B4-F38D05BAC863 2 0.7336 -0.03012 0.056 0.444 0.024 0.004 0.248 0.224
#> 6DB67CA1-0BEB-4585-9867-40E7C8A96D55 2 0.1750 0.52353 0.000 0.932 0.000 0.016 0.040 0.012
#> 49C9DE1D-784D-405A-9DD3-C4D2890D0309 1 0.5920 0.41787 0.588 0.240 0.004 0.016 0.144 0.008
#> 05EC4D30-D34E-4497-B4F4-80AEDC2E70DF 1 0.3071 0.36841 0.876 0.004 0.016 0.048 0.028 0.028
#> CB69E76B-7CD3-49EF-9ADF-75701FE1D0A8 5 0.7193 0.37474 0.224 0.244 0.012 0.000 0.444 0.076
#> 103C6E25-A69A-460E-81C0-7437547E1334 2 0.4314 0.49451 0.024 0.756 0.000 0.028 0.176 0.016
#> 2D986DB0-B5A8-42E8-ACB8-926A16FAABD6 2 0.2507 0.47840 0.000 0.884 0.000 0.004 0.072 0.040
#> 1B9A0F24-8A3F-4693-B09C-5F0EFE5A32A5 2 0.4839 0.47845 0.064 0.704 0.000 0.004 0.200 0.028
#> C064D1FE-753E-4493-907C-C5FFE19F9875 2 0.0603 0.50726 0.000 0.980 0.000 0.000 0.004 0.016
#> 71596860-AEFA-4B94-8ADE-AC33CEA24DD4 2 0.2621 0.51444 0.004 0.896 0.008 0.012 0.040 0.040
#> E9A3A454-AB4D-4683-B276-84DA43792DBB 5 0.7405 0.23839 0.292 0.204 0.012 0.004 0.408 0.080
#> C5717869-8413-4810-A042-32E949AD3B0A 2 0.8228 -0.16381 0.076 0.376 0.144 0.000 0.256 0.148
#> F36B393E-859C-49F8-BDF4-ED2CEF4C6307 2 0.6526 -0.08300 0.152 0.416 0.004 0.000 0.388 0.040
#> 4CC9D3F9-983F-4CB2-91F1-0FBB86D53DC3 2 0.5434 0.41484 0.120 0.664 0.000 0.008 0.180 0.028
#> D450F074-CA68-49CE-B0B3-F81A91D54867 2 0.8266 -0.07678 0.080 0.396 0.148 0.004 0.244 0.128
#> 2BBD504E-FE90-4142-9204-0E33B6B56C7E 2 0.4708 0.38737 0.008 0.596 0.000 0.000 0.356 0.040
#> 1A457CBF-24DA-44F1-B9ED-F26B8D1245D4 2 0.4332 0.39329 0.012 0.768 0.016 0.004 0.048 0.152
#> F29B5A39-866E-4C9D-BC26-B726FEA5F576 1 0.7058 0.17201 0.368 0.344 0.012 0.016 0.244 0.016
#> 89A4972A-8C91-4272-96BE-BCA9BC447780 2 0.6461 0.33190 0.044 0.584 0.016 0.012 0.228 0.116
#> 70B014FD-A0D0-418C-B55F-D09BAE213D52 2 0.1985 0.48896 0.000 0.916 0.004 0.008 0.008 0.064
#> 8139F417-0548-40B4-851F-A4E149A2E06A 2 0.6237 0.28186 0.200 0.552 0.000 0.008 0.212 0.028
#> 6E9F0021-FA91-4516-9B04-6A978034CECF 2 0.6791 0.06790 0.164 0.476 0.008 0.000 0.292 0.060
#> 49DAF1CD-8E20-433B-91A7-8C885ACB21A5 5 0.4639 0.34408 0.072 0.072 0.000 0.008 0.764 0.084
#> 093765A6-145C-47C3-B87B-4560CD632B4C 2 0.3441 0.51793 0.016 0.820 0.000 0.000 0.124 0.040
#> 90731001-45B2-4601-93F5-064BDD519A30 3 0.0000 0.94537 0.000 0.000 1.000 0.000 0.000 0.000
#> 40BCB65D-BC26-4FEF-941F-6F4A42D475EB 2 0.5439 0.41846 0.096 0.628 0.000 0.004 0.248 0.024
#> 204317C4-B927-4CAC-AADF-E16D19410ADB 2 0.2487 0.52403 0.000 0.876 0.000 0.000 0.092 0.032
#> 1023707A-D6DE-432A-AD2D-2318C3F91FA2 2 0.2507 0.47840 0.000 0.884 0.000 0.004 0.072 0.040
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#> 671C1840-9C1B-4AC1-9564-78802489F763 1 0.5196 0.47946 0.736 0.104 0.004 0.048 0.080 0.028
#> BA4F7841-9FC3-4CE6-ACA5-43FC36641640 4 0.1464 0.88566 0.016 0.036 0.000 0.944 0.000 0.004
#> 24A02CE5-28E7-457E-8B90-4EACA528B072 1 0.6599 0.36645 0.508 0.236 0.004 0.016 0.216 0.020
#> C7008665-F6DE-48B4-A0E7-6C388B72C609 2 0.2789 0.47708 0.000 0.864 0.000 0.004 0.088 0.044
#> 50F984AB-95C1-4D7B-A787-418CBB59D165 2 0.7314 -0.06736 0.100 0.408 0.016 0.004 0.348 0.124
#> 5FFD2A6A-ED8A-44A9-9FC1-3106341C284A 2 0.3551 0.45217 0.000 0.792 0.000 0.000 0.148 0.060
#> 7481630E-5CBA-4A4A-A16F-E327BCEE11D3 2 0.6929 -0.14693 0.340 0.384 0.004 0.020 0.236 0.016
#> 7B3E6643-C148-4266-A3A3-80BAB713DD3E 2 0.2308 0.48935 0.000 0.892 0.000 0.000 0.068 0.040
#> BA8564FA-8D4D-4B2F-A178-63209F887A05 3 0.8727 -0.13358 0.272 0.048 0.324 0.220 0.068 0.068
#> 2FB578F6-E8B7-434D-9720-D448A26C1EFD 1 0.6735 0.32408 0.460 0.300 0.004 0.020 0.200 0.016
#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 2 0.6589 0.27534 0.188 0.528 0.004 0.016 0.236 0.028
#> 740FCE46-8A4A-4A6A-B79F-78A63D28E313 2 0.4598 0.38168 0.000 0.656 0.000 0.004 0.280 0.060
#> 523A5832-0C42-44A4-A58F-7011C3A567DC 3 0.0000 0.94537 0.000 0.000 1.000 0.000 0.000 0.000
#> A2C68C81-7371-4E0C-BFD1-EA868A7C9499 2 0.3992 0.49668 0.052 0.784 0.000 0.008 0.144 0.012
#> 2EB7025A-D932-4238-BD60-609B25150029 5 0.4639 0.34408 0.072 0.072 0.000 0.008 0.764 0.084
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 2 0.3803 0.44318 0.000 0.760 0.000 0.000 0.184 0.056
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 2 0.3441 0.51793 0.016 0.820 0.000 0.000 0.124 0.040
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 2 0.1321 0.50139 0.000 0.952 0.000 0.004 0.024 0.020
#> F081EA01-ED14-491B-9620-BF8F10A7431D 5 0.4788 -0.23019 0.016 0.480 0.004 0.000 0.484 0.016
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 2 0.2815 0.52849 0.012 0.864 0.000 0.000 0.096 0.028
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 2 0.7583 -0.26837 0.052 0.416 0.056 0.004 0.160 0.312
#> B54639CE-F721-4908-B758-309F148AD3C2 2 0.4869 0.36009 0.012 0.564 0.000 0.000 0.384 0.040
#> EB4294E1-3FBC-495C-A041-829A654B59C5 3 0.0000 0.94537 0.000 0.000 1.000 0.000 0.000 0.000
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 2 0.6934 -0.12216 0.332 0.388 0.004 0.020 0.240 0.016
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.2617 0.47545 0.000 0.876 0.000 0.004 0.080 0.040
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 2 0.6071 0.32900 0.168 0.592 0.000 0.008 0.196 0.036
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.2600 0.47439 0.000 0.876 0.000 0.004 0.084 0.036
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 1 0.8359 0.13328 0.304 0.296 0.080 0.016 0.248 0.056
#> D34036E4-1122-42AE-B20F-F4C8515872A0 2 0.2728 0.49959 0.000 0.864 0.000 0.004 0.100 0.032
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 2 0.1036 0.50326 0.000 0.964 0.000 0.008 0.004 0.024
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 1 0.7125 0.01788 0.428 0.196 0.020 0.000 0.304 0.052
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 3 0.0000 0.94537 0.000 0.000 1.000 0.000 0.000 0.000
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.0881 0.51664 0.000 0.972 0.000 0.008 0.008 0.012
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.2474 0.47873 0.000 0.884 0.000 0.004 0.080 0.032
#> F3C13430-405E-432E-8F3E-0DD18E86087E 2 0.5109 0.40437 0.040 0.612 0.004 0.000 0.316 0.028
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.3828 0.45489 0.004 0.764 0.000 0.008 0.196 0.028
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 2 0.7068 -0.10184 0.316 0.376 0.008 0.020 0.264 0.016
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.1003 0.50461 0.000 0.964 0.000 0.000 0.020 0.016
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.2844 0.47060 0.000 0.864 0.004 0.004 0.036 0.092
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 4 0.6220 0.61056 0.144 0.040 0.008 0.652 0.104 0.052
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.4870 0.46060 0.092 0.712 0.000 0.004 0.168 0.024
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.7080 0.22761 0.376 0.348 0.004 0.016 0.224 0.032
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 5 0.4874 0.07195 0.284 0.000 0.000 0.008 0.636 0.072
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 1 0.6469 0.34758 0.500 0.272 0.008 0.004 0.196 0.020
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.5819 0.33112 0.040 0.572 0.012 0.008 0.324 0.044
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.0000 0.94537 0.000 0.000 1.000 0.000 0.000 0.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.0000 0.94537 0.000 0.000 1.000 0.000 0.000 0.000
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 5 0.4661 0.33655 0.036 0.120 0.000 0.008 0.752 0.084
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 2 0.6090 0.34918 0.048 0.600 0.012 0.004 0.244 0.092
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.2903 0.52663 0.028 0.876 0.000 0.008 0.064 0.024
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 2 0.7169 0.00566 0.104 0.484 0.004 0.008 0.236 0.164
#> 343F031B-0095-429D-8212-AD0581DBB05B 5 0.7321 0.22825 0.296 0.200 0.012 0.004 0.416 0.072
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 2 0.5114 0.30025 0.028 0.516 0.004 0.000 0.428 0.024
#> 03A226C5-398D-41D2-BB72-C97A373CD512 4 0.0458 0.89729 0.016 0.000 0.000 0.984 0.000 0.000
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 2 0.5971 0.08343 0.024 0.564 0.004 0.000 0.152 0.256
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 5 0.6009 0.00517 0.072 0.380 0.004 0.004 0.500 0.040
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 2 0.6239 0.31357 0.160 0.564 0.004 0.008 0.236 0.028
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.5202 0.43942 0.100 0.688 0.000 0.008 0.176 0.028
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.5906 0.26671 0.048 0.524 0.008 0.008 0.372 0.040
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.2588 0.47655 0.000 0.876 0.000 0.008 0.024 0.092
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.0000 0.94537 0.000 0.000 1.000 0.000 0.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.5580 0.45033 0.644 0.192 0.004 0.012 0.136 0.012
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.0000 0.94537 0.000 0.000 1.000 0.000 0.000 0.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 5 0.7017 0.36087 0.120 0.320 0.008 0.004 0.456 0.092
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.0000 0.94537 0.000 0.000 1.000 0.000 0.000 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.1807 0.49109 0.000 0.920 0.000 0.000 0.060 0.020
#> FC7821F4-6495-4545-A22A-764BB99B3F79 2 0.6374 0.30651 0.176 0.572 0.004 0.012 0.200 0.036
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.2854 0.46958 0.000 0.860 0.000 0.004 0.088 0.048
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.6237 0.26976 0.048 0.540 0.016 0.012 0.332 0.052
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.5100 0.28464 0.040 0.548 0.004 0.000 0.392 0.016
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.0820 0.50596 0.000 0.972 0.000 0.000 0.012 0.016
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 5 0.6581 0.28524 0.208 0.224 0.000 0.008 0.516 0.044
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 5 0.6915 0.34443 0.132 0.348 0.012 0.004 0.444 0.060
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.3670 0.51826 0.028 0.796 0.000 0.000 0.152 0.024
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0000 0.94537 0.000 0.000 1.000 0.000 0.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 5 0.6961 0.39806 0.184 0.284 0.008 0.008 0.468 0.048
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.5849 0.32638 0.028 0.580 0.004 0.004 0.284 0.100
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 1 0.7226 -0.00848 0.400 0.160 0.020 0.000 0.348 0.072
#> BEE081CA-8420-4314-88A0-286BB30FFD65 2 0.6593 0.05296 0.104 0.464 0.012 0.000 0.360 0.060
#> C464CD1D-4519-48E8-A18A-403F691E5702 2 0.6396 0.17793 0.160 0.468 0.012 0.008 0.344 0.008
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.3634 0.31990 0.844 0.004 0.020 0.052 0.028 0.052
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.5056 0.27602 0.032 0.516 0.008 0.000 0.432 0.012
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0806 0.50829 0.000 0.972 0.000 0.000 0.008 0.020
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.8320 0.13033 0.304 0.296 0.084 0.012 0.248 0.056
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.6973 0.20001 0.368 0.364 0.004 0.020 0.224 0.020
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["MAD", "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 17109 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'MAD' method.
#> Subgroups are detected by 'kmeans' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.657 0.843 0.921 0.4396 0.542 0.542
#> 3 3 0.493 0.778 0.869 0.2846 0.802 0.668
#> 4 4 0.503 0.562 0.766 0.2199 0.771 0.536
#> 5 5 0.672 0.732 0.839 0.1132 0.839 0.535
#> 6 6 0.702 0.599 0.799 0.0499 0.936 0.739
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 2
Following shows the table of the partitions (You need to click the show/hide
code output link to see it). The membership matrix (columns with name p*)
is inferred by
clue::cl_consensus()
function with the SE method. Basically the value in the membership matrix
represents the probability to belong to a certain group. The finall class
label for an item is determined with the group with highest probability it
belongs to.
In get_classes() function, the entropy is calculated from the membership
matrix and the silhouette score is calculated from the consensus matrix.
cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#> class entropy silhouette p1 p2
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.0376 0.9246 0.004 0.996
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 2 0.6343 0.7965 0.160 0.840
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 2 0.0672 0.9230 0.008 0.992
#> 91202998-760F-4421-B1C4-18639962EDDA 1 0.4298 0.9112 0.912 0.088
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.0000 0.9264 0.000 1.000
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 2 0.0000 0.9264 0.000 1.000
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 2 0.8813 0.5705 0.300 0.700
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.0000 0.9264 0.000 1.000
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.0000 0.9264 0.000 1.000
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.0000 0.9264 0.000 1.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 1 0.9993 0.1524 0.516 0.484
#> 784B2359-6064-4FAA-9311-7A852F061FBB 1 0.2423 0.8618 0.960 0.040
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 2 0.0000 0.9264 0.000 1.000
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 2 0.6148 0.8069 0.152 0.848
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 1 0.0000 0.8743 1.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.0376 0.9246 0.004 0.996
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.4161 0.9127 0.916 0.084
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 2 0.0000 0.9264 0.000 1.000
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 2 0.0000 0.9264 0.000 1.000
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.8016 0.7378 0.756 0.244
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.0376 0.9246 0.004 0.996
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.0000 0.9264 0.000 1.000
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 2 0.6048 0.8126 0.148 0.852
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 1 0.3879 0.9113 0.924 0.076
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.0000 0.9264 0.000 1.000
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 2 0.0000 0.9264 0.000 1.000
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.0000 0.9264 0.000 1.000
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#> 45CA3F9E-40EE-43A4-AE57-FE51D4003844 2 0.0000 0.9264 0.000 1.000
#> 47EFA063-19C1-4E1F-ACE8-68D9BAD0B995 2 0.9896 0.1640 0.440 0.560
#> 8C30EA0F-0DA1-43C7-81AE-DE825A53F114 1 0.4431 0.9096 0.908 0.092
#> 2CE7477C-DD09-4B3A-AD65-C696BE8C9B11 1 0.4022 0.9122 0.920 0.080
#> 4DECB19A-290F-4CEB-BE25-AAF9B9E2B58F 1 0.4161 0.9127 0.916 0.084
#> 3DEA9B14-DF42-43A0-AC4A-32AE7A16218D 2 0.0000 0.9264 0.000 1.000
#> 9F57D45B-C62F-44C5-AB9D-0CB54BBA16F5 2 0.2948 0.8938 0.052 0.948
#> 54ACCFD9-A8D6-4E4C-9097-1A0BE258AA1B 1 0.4022 0.9122 0.920 0.080
#> 9EE67DE9-9B56-4773-8F6A-1036D31F568E 2 0.8955 0.5405 0.312 0.688
#> 1B1C9301-D6D6-4F6B-80A3-3603013AA951 2 0.0000 0.9264 0.000 1.000
#> DDDCDF00-FB0A-477B-891B-2EE5E0C8F61E 1 0.0376 0.8748 0.996 0.004
#> 34A3260D-AC4D-416F-ADF0-24013048BC46 2 0.0376 0.9246 0.004 0.996
#> 671C1840-9C1B-4AC1-9564-78802489F763 1 0.4022 0.9122 0.920 0.080
#> BA4F7841-9FC3-4CE6-ACA5-43FC36641640 2 0.9710 0.2179 0.400 0.600
#> 24A02CE5-28E7-457E-8B90-4EACA528B072 1 0.4298 0.9112 0.912 0.088
#> C7008665-F6DE-48B4-A0E7-6C388B72C609 2 0.0000 0.9264 0.000 1.000
#> 50F984AB-95C1-4D7B-A787-418CBB59D165 1 0.9460 0.5097 0.636 0.364
#> 5FFD2A6A-ED8A-44A9-9FC1-3106341C284A 2 0.0000 0.9264 0.000 1.000
#> 7481630E-5CBA-4A4A-A16F-E327BCEE11D3 2 0.9922 0.1329 0.448 0.552
#> 7B3E6643-C148-4266-A3A3-80BAB713DD3E 2 0.0000 0.9264 0.000 1.000
#> BA8564FA-8D4D-4B2F-A178-63209F887A05 1 0.3879 0.9113 0.924 0.076
#> 2FB578F6-E8B7-434D-9720-D448A26C1EFD 1 0.4161 0.9127 0.916 0.084
#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 2 0.0376 0.9246 0.004 0.996
#> 740FCE46-8A4A-4A6A-B79F-78A63D28E313 2 0.0000 0.9264 0.000 1.000
#> 523A5832-0C42-44A4-A58F-7011C3A567DC 1 0.0376 0.8748 0.996 0.004
#> A2C68C81-7371-4E0C-BFD1-EA868A7C9499 2 0.0000 0.9264 0.000 1.000
#> 2EB7025A-D932-4238-BD60-609B25150029 2 0.7219 0.7461 0.200 0.800
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 2 0.0000 0.9264 0.000 1.000
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 2 0.0000 0.9264 0.000 1.000
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 2 0.0000 0.9264 0.000 1.000
#> F081EA01-ED14-491B-9620-BF8F10A7431D 2 0.6048 0.8097 0.148 0.852
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 2 0.0000 0.9264 0.000 1.000
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 2 0.2236 0.9035 0.036 0.964
#> B54639CE-F721-4908-B758-309F148AD3C2 2 0.0000 0.9264 0.000 1.000
#> EB4294E1-3FBC-495C-A041-829A654B59C5 1 0.0000 0.8743 1.000 0.000
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 2 0.8144 0.6626 0.252 0.748
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.0000 0.9264 0.000 1.000
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 2 0.8555 0.5431 0.280 0.720
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.0000 0.9264 0.000 1.000
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 1 0.4161 0.9127 0.916 0.084
#> D34036E4-1122-42AE-B20F-F4C8515872A0 2 0.0000 0.9264 0.000 1.000
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 2 0.0000 0.9264 0.000 1.000
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 1 0.4298 0.9112 0.912 0.088
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 1 0.0376 0.8748 0.996 0.004
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.0000 0.9264 0.000 1.000
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.0000 0.9264 0.000 1.000
#> F3C13430-405E-432E-8F3E-0DD18E86087E 2 0.0672 0.9230 0.008 0.992
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.0000 0.9264 0.000 1.000
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 1 0.4298 0.9112 0.912 0.088
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.0000 0.9264 0.000 1.000
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.0000 0.9264 0.000 1.000
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 1 0.9710 0.4218 0.600 0.400
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.0000 0.9264 0.000 1.000
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.7815 0.7597 0.768 0.232
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 2 0.9248 0.4776 0.340 0.660
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 1 0.4161 0.9127 0.916 0.084
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.0000 0.9264 0.000 1.000
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 1 0.0376 0.8748 0.996 0.004
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 1 0.0000 0.8743 1.000 0.000
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 2 0.0000 0.9264 0.000 1.000
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 2 0.0000 0.9264 0.000 1.000
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.0000 0.9264 0.000 1.000
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 1 0.9754 0.3996 0.592 0.408
#> 343F031B-0095-429D-8212-AD0581DBB05B 1 0.9977 0.1985 0.528 0.472
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 2 0.0000 0.9264 0.000 1.000
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.3879 0.9113 0.924 0.076
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 2 0.0000 0.9264 0.000 1.000
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 2 0.6048 0.8111 0.148 0.852
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 2 0.2423 0.9020 0.040 0.960
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.0376 0.9246 0.004 0.996
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.0000 0.9264 0.000 1.000
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.0000 0.9264 0.000 1.000
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 1 0.0376 0.8748 0.996 0.004
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.4298 0.9112 0.912 0.088
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 1 0.0376 0.8748 0.996 0.004
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 2 0.6438 0.7917 0.164 0.836
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 1 0.0000 0.8743 1.000 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.0000 0.9264 0.000 1.000
#> FC7821F4-6495-4545-A22A-764BB99B3F79 2 0.8081 0.6104 0.248 0.752
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.0000 0.9264 0.000 1.000
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.5178 0.8410 0.116 0.884
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.0000 0.9264 0.000 1.000
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.0000 0.9264 0.000 1.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 2 0.5294 0.8387 0.120 0.880
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 2 0.6343 0.7980 0.160 0.840
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.0000 0.9264 0.000 1.000
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 1 0.0376 0.8748 0.996 0.004
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 2 0.6623 0.7836 0.172 0.828
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.0000 0.9264 0.000 1.000
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 1 0.4161 0.9127 0.916 0.084
#> BEE081CA-8420-4314-88A0-286BB30FFD65 2 0.8267 0.6466 0.260 0.740
#> C464CD1D-4519-48E8-A18A-403F691E5702 2 0.9896 0.1640 0.440 0.560
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.3879 0.9113 0.924 0.076
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.5059 0.8447 0.112 0.888
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0000 0.9264 0.000 1.000
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.4161 0.9127 0.916 0.084
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.4298 0.9112 0.912 0.088
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.1529 0.8694 0.040 0.960 0.000
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 2 0.5325 0.7657 0.248 0.748 0.004
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 2 0.5517 0.7508 0.268 0.728 0.004
#> 91202998-760F-4421-B1C4-18639962EDDA 1 0.2280 0.7635 0.940 0.008 0.052
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.0237 0.8796 0.004 0.996 0.000
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 2 0.4834 0.8032 0.204 0.792 0.004
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 1 0.6057 0.3084 0.656 0.340 0.004
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.3482 0.8476 0.128 0.872 0.000
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.3784 0.8450 0.132 0.864 0.004
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.3715 0.8485 0.128 0.868 0.004
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 1 0.5404 0.5160 0.740 0.256 0.004
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.1525 0.9723 0.032 0.004 0.964
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 2 0.3851 0.8449 0.136 0.860 0.004
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 2 0.6505 0.0910 0.468 0.528 0.004
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0892 0.9915 0.020 0.000 0.980
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.0237 0.8796 0.004 0.996 0.000
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.4654 0.7188 0.792 0.000 0.208
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 2 0.3879 0.8297 0.152 0.848 0.000
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 2 0.3752 0.8330 0.144 0.856 0.000
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.4931 0.7226 0.784 0.212 0.004
#> D7A50E95-777C-47A6-8F93-031CB4770633 1 0.6244 0.4209 0.560 0.440 0.000
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.3851 0.8449 0.136 0.860 0.004
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 1 0.4796 0.7188 0.780 0.220 0.000
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 1 0.4702 0.7248 0.788 0.000 0.212
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.2400 0.8657 0.064 0.932 0.004
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 2 0.4733 0.8109 0.196 0.800 0.004
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.3500 0.8534 0.116 0.880 0.004
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.0237 0.8802 0.004 0.996 0.000
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.0892 0.9915 0.020 0.000 0.980
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.2772 0.8464 0.080 0.916 0.004
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 2 0.3816 0.8312 0.148 0.852 0.000
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 2 0.3482 0.8075 0.128 0.872 0.000
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.0237 0.8802 0.004 0.996 0.000
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.0237 0.8796 0.004 0.996 0.000
#> 2846A3AC-D102-4E37-9B72-139ED727157A 2 0.3030 0.8608 0.092 0.904 0.004
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.3752 0.7890 0.144 0.856 0.000
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 1 0.2446 0.7648 0.936 0.012 0.052
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.1860 0.7601 0.948 0.000 0.052
#> 150F5B77-4848-4D68-800A-0A0236C3661F 2 0.4409 0.8256 0.172 0.824 0.004
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.5526 0.7364 0.792 0.036 0.172
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.0000 0.8800 0.000 1.000 0.000
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.0237 0.8796 0.004 0.996 0.000
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 1 0.1860 0.7601 0.948 0.000 0.052
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 2 0.5024 0.7960 0.220 0.776 0.004
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.0237 0.8796 0.004 0.996 0.000
#> 1447B543-D3AC-41B5-878F-B382FE49421B 1 0.3879 0.7532 0.848 0.152 0.000
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 2 0.6345 0.1887 0.400 0.596 0.004
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 2 0.1964 0.8714 0.056 0.944 0.000
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.0892 0.9915 0.020 0.000 0.980
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 2 0.2959 0.8538 0.100 0.900 0.000
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 2 0.4834 0.8032 0.204 0.792 0.004
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.4654 0.7188 0.792 0.000 0.208
#> D9225689-21E0-478A-8F79-C26542938B8D 2 0.4110 0.8300 0.152 0.844 0.004
#> FC3BA46D-57F6-424C-8D62-16C441035969 2 0.3851 0.8449 0.136 0.860 0.004
#> 045CFFE6-4736-42F2-9340-C37690E47882 3 0.0892 0.9915 0.020 0.000 0.980
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 1 0.5420 0.5425 0.752 0.240 0.008
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 1 0.6345 0.4993 0.596 0.400 0.004
#> E94B217F-C5DC-4F42-8135-E81F338914B5 2 0.4452 0.8145 0.192 0.808 0.000
#> AE4C3956-76DF-4059-8D69-3D764F31817F 2 0.2301 0.8664 0.060 0.936 0.004
#> 33D6A38E-CD99-437B-99E0-04E72582F777 2 0.3816 0.8312 0.148 0.852 0.000
#> 8379051C-5847-42B5-AC5C-A128C166AB97 2 0.6280 0.3030 0.460 0.540 0.000
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 2 0.5785 0.6252 0.332 0.668 0.000
#> 40A16429-229E-4F40-BFC7-263554438F99 2 0.4233 0.8325 0.160 0.836 0.004
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 2 0.5553 0.7552 0.272 0.724 0.004
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 2 0.5443 0.7596 0.260 0.736 0.004
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 1 0.4912 0.7271 0.796 0.008 0.196
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 1 0.5138 0.6117 0.748 0.252 0.000
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.0237 0.8796 0.004 0.996 0.000
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 2 0.5497 0.6986 0.292 0.708 0.000
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 2 0.4002 0.8273 0.160 0.840 0.000
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 2 0.0237 0.8802 0.004 0.996 0.000
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.0237 0.8802 0.004 0.996 0.000
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 2 0.3851 0.8449 0.136 0.860 0.004
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 1 0.3482 0.7303 0.872 0.128 0.000
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 2 0.3752 0.7866 0.144 0.856 0.000
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 2 0.0424 0.8805 0.008 0.992 0.000
#> FDB47AC4-CE6A-428B-9B55-EBCEF1970ACB 2 0.5553 0.7553 0.272 0.724 0.004
#> 133B7E7B-FD50-48A2-9A35-E6D44FAB976B 2 0.5115 0.7569 0.228 0.768 0.004
#> E69E45DA-66A6-438A-9BFC-5F1F7F5C5A87 1 0.5480 0.4995 0.732 0.264 0.004
#> 6E242DF5-8B8B-4C6F-870E-C7ADFFAFDF3E 2 0.0237 0.8802 0.004 0.996 0.000
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#> A2C68C81-7371-4E0C-BFD1-EA868A7C9499 2 0.0237 0.8796 0.004 0.996 0.000
#> 2EB7025A-D932-4238-BD60-609B25150029 2 0.6500 0.3910 0.464 0.532 0.004
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 2 0.2400 0.8657 0.064 0.932 0.004
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 2 0.0237 0.8796 0.004 0.996 0.000
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 2 0.0237 0.8802 0.004 0.996 0.000
#> F081EA01-ED14-491B-9620-BF8F10A7431D 2 0.5690 0.7384 0.288 0.708 0.004
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 2 0.0237 0.8796 0.004 0.996 0.000
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 2 0.3879 0.8294 0.152 0.848 0.000
#> B54639CE-F721-4908-B758-309F148AD3C2 2 0.3851 0.8449 0.136 0.860 0.004
#> EB4294E1-3FBC-495C-A041-829A654B59C5 3 0.0892 0.9915 0.020 0.000 0.980
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 1 0.4796 0.7188 0.780 0.220 0.000
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.0237 0.8802 0.004 0.996 0.000
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 2 0.5835 0.3445 0.340 0.660 0.000
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.0000 0.8800 0.000 1.000 0.000
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 1 0.5402 0.7337 0.792 0.028 0.180
#> D34036E4-1122-42AE-B20F-F4C8515872A0 2 0.0983 0.8785 0.016 0.980 0.004
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 2 0.0237 0.8802 0.004 0.996 0.000
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 1 0.1860 0.7601 0.948 0.000 0.052
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 3 0.0892 0.9915 0.020 0.000 0.980
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.0237 0.8802 0.004 0.996 0.000
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.0237 0.8796 0.004 0.996 0.000
#> F3C13430-405E-432E-8F3E-0DD18E86087E 2 0.5285 0.6903 0.244 0.752 0.004
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.0000 0.8800 0.000 1.000 0.000
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 1 0.4602 0.7665 0.852 0.108 0.040
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.0237 0.8796 0.004 0.996 0.000
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.0237 0.8802 0.004 0.996 0.000
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 1 0.2384 0.7596 0.936 0.056 0.008
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.0237 0.8796 0.004 0.996 0.000
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.4931 0.7226 0.784 0.212 0.004
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 1 0.5404 0.5192 0.740 0.256 0.004
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 1 0.4654 0.7188 0.792 0.000 0.208
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.0237 0.8796 0.004 0.996 0.000
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.0892 0.9915 0.020 0.000 0.980
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.0892 0.9915 0.020 0.000 0.980
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 2 0.3851 0.8449 0.136 0.860 0.004
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 2 0.0237 0.8796 0.004 0.996 0.000
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.0892 0.8738 0.020 0.980 0.000
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 1 0.2261 0.7631 0.932 0.068 0.000
#> 343F031B-0095-429D-8212-AD0581DBB05B 1 0.1878 0.7358 0.952 0.044 0.004
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 2 0.4883 0.8069 0.208 0.788 0.004
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.4842 0.7185 0.776 0.000 0.224
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 2 0.3816 0.8312 0.148 0.852 0.000
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 2 0.6104 0.6522 0.348 0.648 0.004
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 1 0.4842 0.7162 0.776 0.224 0.000
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.5431 0.5442 0.284 0.716 0.000
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.0000 0.8800 0.000 1.000 0.000
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.0237 0.8802 0.004 0.996 0.000
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.0892 0.9915 0.020 0.000 0.980
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.2569 0.7692 0.936 0.032 0.032
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.0892 0.9915 0.020 0.000 0.980
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 2 0.6330 0.5667 0.396 0.600 0.004
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.0892 0.9915 0.020 0.000 0.980
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.0237 0.8802 0.004 0.996 0.000
#> FC7821F4-6495-4545-A22A-764BB99B3F79 2 0.5254 0.5370 0.264 0.736 0.000
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.3112 0.8604 0.096 0.900 0.004
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.3941 0.8163 0.156 0.844 0.000
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.4351 0.8229 0.168 0.828 0.004
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.0237 0.8802 0.004 0.996 0.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 1 0.6373 0.2073 0.588 0.408 0.004
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 2 0.6468 0.4550 0.444 0.552 0.004
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.0237 0.8796 0.004 0.996 0.000
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0892 0.9915 0.020 0.000 0.980
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 1 0.6081 0.2970 0.652 0.344 0.004
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.1411 0.8766 0.036 0.964 0.000
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 1 0.2384 0.7634 0.936 0.008 0.056
#> BEE081CA-8420-4314-88A0-286BB30FFD65 2 0.6500 0.4007 0.464 0.532 0.004
#> C464CD1D-4519-48E8-A18A-403F691E5702 1 0.4409 0.7414 0.824 0.172 0.004
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.4654 0.7188 0.792 0.000 0.208
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.4978 0.7987 0.216 0.780 0.004
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0000 0.8800 0.000 1.000 0.000
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.5965 0.7480 0.792 0.108 0.100
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.5760 0.7440 0.796 0.140 0.064
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.4919 0.5700 0.200 0.752 0.000 0.048
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 4 0.4988 0.4429 0.020 0.288 0.000 0.692
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 4 0.7203 0.3091 0.164 0.312 0.000 0.524
#> 91202998-760F-4421-B1C4-18639962EDDA 4 0.4985 0.0412 0.468 0.000 0.000 0.532
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.1576 0.7531 0.004 0.948 0.000 0.048
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 4 0.4134 0.4469 0.000 0.260 0.000 0.740
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 4 0.3404 0.5227 0.104 0.032 0.000 0.864
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.1209 0.7610 0.004 0.964 0.000 0.032
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.4730 0.3723 0.000 0.636 0.000 0.364
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.4804 0.3437 0.000 0.616 0.000 0.384
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 4 0.4406 0.4718 0.192 0.028 0.000 0.780
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.0895 0.9670 0.004 0.000 0.976 0.020
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 2 0.4790 0.3486 0.000 0.620 0.000 0.380
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 1 0.7497 -0.1754 0.424 0.180 0.000 0.396
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0779 0.9840 0.004 0.000 0.980 0.016
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.4356 0.6282 0.148 0.804 0.000 0.048
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.0672 0.7834 0.984 0.000 0.008 0.008
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 4 0.5257 0.2049 0.008 0.444 0.000 0.548
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 2 0.5203 0.1330 0.008 0.576 0.000 0.416
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.1798 0.7778 0.944 0.016 0.000 0.040
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.5132 0.1378 0.448 0.548 0.000 0.004
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.4661 0.3825 0.000 0.652 0.000 0.348
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 1 0.2089 0.7694 0.932 0.020 0.000 0.048
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 1 0.4722 0.5799 0.692 0.000 0.008 0.300
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.5387 0.2998 0.016 0.584 0.000 0.400
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 4 0.5253 0.2897 0.016 0.360 0.000 0.624
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.5125 0.3288 0.008 0.604 0.000 0.388
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.0469 0.7679 0.000 0.988 0.000 0.012
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.0524 0.9854 0.004 0.000 0.988 0.008
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.6019 0.5156 0.176 0.688 0.000 0.136
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 2 0.5244 0.0809 0.008 0.556 0.000 0.436
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 2 0.7036 0.3055 0.216 0.576 0.000 0.208
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.0469 0.7694 0.000 0.988 0.000 0.012
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.0469 0.7690 0.000 0.988 0.000 0.012
#> 2846A3AC-D102-4E37-9B72-139ED727157A 2 0.4781 0.4059 0.004 0.660 0.000 0.336
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.4994 0.5602 0.208 0.744 0.000 0.048
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 1 0.4804 0.3583 0.616 0.000 0.000 0.384
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.3024 0.6833 0.852 0.000 0.000 0.148
#> 150F5B77-4848-4D68-800A-0A0236C3661F 2 0.4955 0.1724 0.000 0.556 0.000 0.444
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.1732 0.7790 0.948 0.008 0.004 0.040
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.0336 0.7699 0.000 0.992 0.000 0.008
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.0469 0.7690 0.000 0.988 0.000 0.012
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 1 0.4543 0.4729 0.676 0.000 0.000 0.324
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 4 0.6968 0.3325 0.140 0.308 0.000 0.552
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.4633 0.6022 0.172 0.780 0.000 0.048
#> 1447B543-D3AC-41B5-878F-B382FE49421B 1 0.0657 0.7850 0.984 0.004 0.000 0.012
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 1 0.6659 -0.0545 0.468 0.448 0.000 0.084
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 2 0.4872 0.3544 0.004 0.640 0.000 0.356
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.0188 0.9864 0.004 0.000 0.996 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 2 0.5366 0.0549 0.012 0.548 0.000 0.440
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 4 0.4193 0.4497 0.000 0.268 0.000 0.732
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.0672 0.7834 0.984 0.000 0.008 0.008
#> D9225689-21E0-478A-8F79-C26542938B8D 2 0.7119 0.0332 0.132 0.480 0.000 0.388
#> FC3BA46D-57F6-424C-8D62-16C441035969 2 0.5080 0.2707 0.004 0.576 0.000 0.420
#> 045CFFE6-4736-42F2-9340-C37690E47882 3 0.0188 0.9864 0.004 0.000 0.996 0.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 4 0.4882 0.4281 0.272 0.020 0.000 0.708
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 1 0.6907 0.1181 0.532 0.348 0.000 0.120
#> E94B217F-C5DC-4F42-8135-E81F338914B5 2 0.4981 0.1246 0.000 0.536 0.000 0.464
#> AE4C3956-76DF-4059-8D69-3D764F31817F 2 0.4564 0.4257 0.000 0.672 0.000 0.328
#> 33D6A38E-CD99-437B-99E0-04E72582F777 2 0.5229 0.1029 0.008 0.564 0.000 0.428
#> 8379051C-5847-42B5-AC5C-A128C166AB97 4 0.6314 0.3240 0.068 0.372 0.000 0.560
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 4 0.6326 0.3186 0.068 0.376 0.000 0.556
#> 40A16429-229E-4F40-BFC7-263554438F99 4 0.4992 -0.0016 0.000 0.476 0.000 0.524
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 4 0.6469 0.4350 0.124 0.248 0.000 0.628
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 4 0.5460 0.3729 0.028 0.340 0.000 0.632
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 1 0.2408 0.7370 0.896 0.000 0.000 0.104
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 4 0.7091 0.4019 0.208 0.224 0.000 0.568
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.0524 0.7683 0.004 0.988 0.000 0.008
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 4 0.6324 0.3742 0.076 0.340 0.000 0.584
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 4 0.5268 0.1877 0.008 0.452 0.000 0.540
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 2 0.0336 0.7694 0.000 0.992 0.000 0.008
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.0188 0.7700 0.000 0.996 0.000 0.004
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 2 0.4746 0.3623 0.000 0.632 0.000 0.368
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 4 0.6448 0.3096 0.316 0.092 0.000 0.592
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 1 0.6149 -0.0735 0.480 0.472 0.000 0.048
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 2 0.4655 0.4262 0.004 0.684 0.000 0.312
#> FDB47AC4-CE6A-428B-9B55-EBCEF1970ACB 4 0.4399 0.4966 0.020 0.212 0.000 0.768
#> 133B7E7B-FD50-48A2-9A35-E6D44FAB976B 4 0.7540 0.2575 0.204 0.328 0.000 0.468
#> E69E45DA-66A6-438A-9BFC-5F1F7F5C5A87 4 0.3384 0.5144 0.116 0.024 0.000 0.860
#> 6E242DF5-8B8B-4C6F-870E-C7ADFFAFDF3E 2 0.0469 0.7694 0.000 0.988 0.000 0.012
#> CB7BBFF1-4BF3-42A9-85C6-680D91503799 4 0.5143 0.0662 0.456 0.004 0.000 0.540
#> 70AA4670-C75B-4E39-8958-3F9C29811871 2 0.2125 0.7428 0.004 0.920 0.000 0.076
#> D63C5178-4FF7-4FD0-B87E-6CBF6E7BEF5B 2 0.0336 0.7703 0.000 0.992 0.000 0.008
#> 814391F8-C5B9-43F6-A330-A6749BB8F16E 4 0.5792 0.2298 0.032 0.416 0.000 0.552
#> 146ED7EA-BF3C-4BAB-B33C-0A668AB13C80 4 0.4175 0.4477 0.212 0.012 0.000 0.776
#> FD5CAFE8-E669-406A-A505-A47DCDC32E93 4 0.3421 0.5577 0.044 0.088 0.000 0.868
#> 4B3C7910-A652-45B5-8218-9002EB0FD9EB 2 0.4830 0.3165 0.000 0.608 0.000 0.392
#> E410F77D-E31F-4D73-ACAC-9245935A92F5 4 0.6706 0.4275 0.288 0.124 0.000 0.588
#> 64336403-9037-480C-873A-67BC77119FA5 2 0.0000 0.7702 0.000 1.000 0.000 0.000
#> 6F9D5013-3B1B-41EE-85DB-E51F5D828DEF 4 0.3278 0.5161 0.116 0.020 0.000 0.864
#> 155AEBBD-1C12-4F88-90C7-1C7FF7E3FB2C 4 0.5203 0.2618 0.008 0.416 0.000 0.576
#> D28DDCAA-682C-451F-8327-D2C2AFB044E2 2 0.2466 0.7293 0.004 0.900 0.000 0.096
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#> C7008665-F6DE-48B4-A0E7-6C388B72C609 2 0.0336 0.7691 0.000 0.992 0.000 0.008
#> 50F984AB-95C1-4D7B-A787-418CBB59D165 4 0.5155 0.0263 0.468 0.004 0.000 0.528
#> 5FFD2A6A-ED8A-44A9-9FC1-3106341C284A 2 0.4331 0.4866 0.000 0.712 0.000 0.288
#> 7481630E-5CBA-4A4A-A16F-E327BCEE11D3 1 0.1798 0.7778 0.944 0.016 0.000 0.040
#> 7B3E6643-C148-4266-A3A3-80BAB713DD3E 2 0.0336 0.7703 0.000 0.992 0.000 0.008
#> BA8564FA-8D4D-4B2F-A178-63209F887A05 1 0.2412 0.7704 0.908 0.000 0.008 0.084
#> 2FB578F6-E8B7-434D-9720-D448A26C1EFD 1 0.1732 0.7790 0.948 0.008 0.004 0.040
#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 2 0.4919 0.5700 0.200 0.752 0.000 0.048
#> 740FCE46-8A4A-4A6A-B79F-78A63D28E313 2 0.4477 0.4453 0.000 0.688 0.000 0.312
#> 523A5832-0C42-44A4-A58F-7011C3A567DC 3 0.0188 0.9864 0.004 0.000 0.996 0.000
#> A2C68C81-7371-4E0C-BFD1-EA868A7C9499 2 0.3333 0.6957 0.088 0.872 0.000 0.040
#> 2EB7025A-D932-4238-BD60-609B25150029 4 0.6723 0.4588 0.260 0.140 0.000 0.600
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 2 0.4522 0.4324 0.000 0.680 0.000 0.320
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 2 0.0336 0.7703 0.000 0.992 0.000 0.008
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 2 0.0469 0.7694 0.000 0.988 0.000 0.012
#> F081EA01-ED14-491B-9620-BF8F10A7431D 4 0.6215 0.4850 0.140 0.192 0.000 0.668
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 2 0.0336 0.7691 0.000 0.992 0.000 0.008
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 2 0.5402 -0.0384 0.012 0.516 0.000 0.472
#> B54639CE-F721-4908-B758-309F148AD3C2 4 0.6626 0.2026 0.088 0.384 0.000 0.528
#> EB4294E1-3FBC-495C-A041-829A654B59C5 3 0.0779 0.9840 0.004 0.000 0.980 0.016
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 1 0.1798 0.7778 0.944 0.016 0.000 0.040
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.0336 0.7703 0.000 0.992 0.000 0.008
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 1 0.5812 0.3224 0.624 0.328 0.000 0.048
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.0336 0.7703 0.000 0.992 0.000 0.008
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 1 0.1732 0.7788 0.948 0.004 0.008 0.040
#> D34036E4-1122-42AE-B20F-F4C8515872A0 2 0.2760 0.6881 0.000 0.872 0.000 0.128
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 2 0.0336 0.7694 0.000 0.992 0.000 0.008
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 4 0.5000 -0.0432 0.500 0.000 0.000 0.500
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 3 0.0188 0.9864 0.004 0.000 0.996 0.000
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.0336 0.7694 0.000 0.992 0.000 0.008
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.0469 0.7690 0.000 0.988 0.000 0.012
#> F3C13430-405E-432E-8F3E-0DD18E86087E 4 0.7710 0.1871 0.224 0.368 0.000 0.408
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.0336 0.7699 0.000 0.992 0.000 0.008
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 1 0.0376 0.7839 0.992 0.004 0.000 0.004
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.0336 0.7691 0.000 0.992 0.000 0.008
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.0469 0.7694 0.000 0.988 0.000 0.012
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 1 0.3945 0.5831 0.780 0.004 0.000 0.216
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.0937 0.7647 0.012 0.976 0.000 0.012
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.1798 0.7778 0.944 0.016 0.000 0.040
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 4 0.4245 0.4670 0.196 0.020 0.000 0.784
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 1 0.0804 0.7825 0.980 0.000 0.008 0.012
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.1557 0.7561 0.000 0.944 0.000 0.056
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.0188 0.9864 0.004 0.000 0.996 0.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.0779 0.9840 0.004 0.000 0.980 0.016
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 2 0.4991 0.3284 0.004 0.608 0.000 0.388
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 2 0.3161 0.7018 0.012 0.864 0.000 0.124
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.1488 0.7580 0.032 0.956 0.000 0.012
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 4 0.5147 0.0548 0.460 0.004 0.000 0.536
#> 343F031B-0095-429D-8212-AD0581DBB05B 4 0.4088 0.4287 0.232 0.004 0.000 0.764
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 4 0.7142 0.2940 0.152 0.324 0.000 0.524
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.3978 0.6937 0.796 0.000 0.012 0.192
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 2 0.5161 0.1757 0.008 0.592 0.000 0.400
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 4 0.6609 0.4397 0.144 0.236 0.000 0.620
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 1 0.1798 0.7778 0.944 0.016 0.000 0.040
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.6120 0.2073 0.432 0.520 0.000 0.048
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.1661 0.7531 0.004 0.944 0.000 0.052
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.0469 0.7694 0.000 0.988 0.000 0.012
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.0188 0.9864 0.004 0.000 0.996 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.0524 0.7830 0.988 0.004 0.000 0.008
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.0524 0.9854 0.004 0.000 0.988 0.008
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 4 0.3523 0.5661 0.032 0.112 0.000 0.856
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.0779 0.9840 0.004 0.000 0.980 0.016
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.0336 0.7703 0.000 0.992 0.000 0.008
#> FC7821F4-6495-4545-A22A-764BB99B3F79 1 0.6094 0.1278 0.536 0.416 0.000 0.048
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.4356 0.4754 0.000 0.708 0.000 0.292
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.7153 -0.1195 0.132 0.444 0.000 0.424
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.5570 0.1069 0.020 0.540 0.000 0.440
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.0188 0.7700 0.000 0.996 0.000 0.004
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 4 0.7546 0.2104 0.404 0.188 0.000 0.408
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 4 0.2773 0.5577 0.028 0.072 0.000 0.900
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.0657 0.7672 0.004 0.984 0.000 0.012
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0188 0.9864 0.004 0.000 0.996 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 4 0.4595 0.5061 0.184 0.040 0.000 0.776
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.0336 0.7703 0.000 0.992 0.000 0.008
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 4 0.4992 0.0112 0.476 0.000 0.000 0.524
#> BEE081CA-8420-4314-88A0-286BB30FFD65 4 0.3088 0.5496 0.060 0.052 0.000 0.888
#> C464CD1D-4519-48E8-A18A-403F691E5702 1 0.4922 0.5303 0.736 0.036 0.000 0.228
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.0672 0.7834 0.984 0.000 0.008 0.008
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 4 0.6894 0.3207 0.128 0.320 0.000 0.552
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0000 0.7702 0.000 1.000 0.000 0.000
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.1863 0.7786 0.944 0.012 0.004 0.040
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.1677 0.7785 0.948 0.012 0.000 0.040
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.4618 0.6528 0.208 0.724 0.000 0.000 0.068
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 4 0.4215 0.7502 0.000 0.064 0.000 0.768 0.168
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 5 0.3124 0.7934 0.060 0.056 0.000 0.012 0.872
#> 91202998-760F-4421-B1C4-18639962EDDA 4 0.2574 0.7766 0.112 0.000 0.000 0.876 0.012
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.2124 0.7892 0.004 0.900 0.000 0.000 0.096
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 5 0.4950 0.3232 0.000 0.040 0.000 0.348 0.612
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 4 0.2970 0.7655 0.004 0.000 0.000 0.828 0.168
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.2136 0.7764 0.000 0.904 0.000 0.088 0.008
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 5 0.5019 0.5798 0.000 0.316 0.000 0.052 0.632
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 5 0.3231 0.7694 0.000 0.196 0.000 0.004 0.800
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 4 0.2694 0.7952 0.032 0.004 0.000 0.888 0.076
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.2491 0.8790 0.000 0.000 0.896 0.068 0.036
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 5 0.3300 0.7635 0.000 0.204 0.000 0.004 0.792
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 5 0.3048 0.7121 0.176 0.004 0.000 0.000 0.820
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0566 0.9835 0.004 0.000 0.984 0.000 0.012
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.4199 0.6970 0.160 0.772 0.000 0.000 0.068
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.1430 0.8574 0.944 0.000 0.000 0.052 0.004
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 4 0.3791 0.7710 0.000 0.112 0.000 0.812 0.076
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 4 0.4679 0.6810 0.000 0.216 0.000 0.716 0.068
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.1270 0.8647 0.948 0.000 0.000 0.000 0.052
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.3861 0.6110 0.284 0.712 0.000 0.000 0.004
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 5 0.3838 0.6931 0.000 0.280 0.000 0.004 0.716
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 1 0.1732 0.8505 0.920 0.000 0.000 0.000 0.080
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 4 0.5435 -0.1082 0.428 0.000 0.000 0.512 0.060
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 5 0.2124 0.8007 0.004 0.096 0.000 0.000 0.900
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 5 0.2588 0.7858 0.000 0.060 0.000 0.048 0.892
#> 1139D935-739E-4C42-BFCB-06021A85932E 5 0.3123 0.7750 0.000 0.184 0.000 0.004 0.812
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.0404 0.8395 0.000 0.988 0.000 0.000 0.012
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.0451 0.9842 0.000 0.000 0.988 0.004 0.008
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 5 0.5964 0.1091 0.108 0.428 0.000 0.000 0.464
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 4 0.4277 0.7382 0.000 0.156 0.000 0.768 0.076
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 2 0.5811 0.3892 0.116 0.568 0.000 0.000 0.316
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.0566 0.8384 0.000 0.984 0.000 0.004 0.012
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.0162 0.8409 0.000 0.996 0.000 0.000 0.004
#> 2846A3AC-D102-4E37-9B72-139ED727157A 5 0.3837 0.6605 0.000 0.308 0.000 0.000 0.692
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.4955 0.6070 0.248 0.680 0.000 0.000 0.072
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 4 0.2719 0.7545 0.144 0.000 0.000 0.852 0.004
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.4306 0.4989 0.660 0.000 0.000 0.328 0.012
#> 150F5B77-4848-4D68-800A-0A0236C3661F 5 0.3085 0.7845 0.000 0.116 0.000 0.032 0.852
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.1270 0.8647 0.948 0.000 0.000 0.000 0.052
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.0290 0.8404 0.000 0.992 0.000 0.000 0.008
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.0000 0.8408 0.000 1.000 0.000 0.000 0.000
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 1 0.4655 0.1105 0.512 0.000 0.000 0.476 0.012
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 5 0.2467 0.7971 0.024 0.052 0.000 0.016 0.908
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.4514 0.6693 0.188 0.740 0.000 0.000 0.072
#> 1447B543-D3AC-41B5-878F-B382FE49421B 1 0.1331 0.8673 0.952 0.000 0.000 0.008 0.040
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 1 0.5719 0.2353 0.552 0.352 0.000 0.000 0.096
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 4 0.6428 0.2873 0.000 0.364 0.000 0.456 0.180
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.0000 0.9857 0.000 0.000 1.000 0.000 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 4 0.3888 0.7668 0.000 0.120 0.000 0.804 0.076
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 5 0.4461 0.6310 0.000 0.052 0.000 0.220 0.728
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.1430 0.8574 0.944 0.000 0.000 0.052 0.004
#> D9225689-21E0-478A-8F79-C26542938B8D 5 0.6541 0.3304 0.012 0.180 0.000 0.276 0.532
#> FC3BA46D-57F6-424C-8D62-16C441035969 5 0.2574 0.7942 0.000 0.112 0.000 0.012 0.876
#> 045CFFE6-4736-42F2-9340-C37690E47882 3 0.0000 0.9857 0.000 0.000 1.000 0.000 0.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 5 0.2592 0.7638 0.052 0.000 0.000 0.056 0.892
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 5 0.6959 0.1177 0.324 0.328 0.000 0.004 0.344
#> E94B217F-C5DC-4F42-8135-E81F338914B5 2 0.6781 -0.1221 0.000 0.388 0.000 0.292 0.320
#> AE4C3956-76DF-4059-8D69-3D764F31817F 5 0.3305 0.7468 0.000 0.224 0.000 0.000 0.776
#> 33D6A38E-CD99-437B-99E0-04E72582F777 4 0.4573 0.7235 0.000 0.164 0.000 0.744 0.092
#> 8379051C-5847-42B5-AC5C-A128C166AB97 4 0.3359 0.7861 0.000 0.084 0.000 0.844 0.072
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 4 0.3359 0.7861 0.000 0.084 0.000 0.844 0.072
#> 40A16429-229E-4F40-BFC7-263554438F99 5 0.2946 0.7842 0.000 0.088 0.000 0.044 0.868
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 5 0.4166 0.7064 0.012 0.052 0.000 0.144 0.792
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 4 0.5200 0.5773 0.000 0.068 0.000 0.628 0.304
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 1 0.3289 0.8020 0.844 0.000 0.000 0.108 0.048
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 4 0.2444 0.8017 0.028 0.036 0.000 0.912 0.024
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.0771 0.8339 0.020 0.976 0.000 0.000 0.004
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 4 0.3400 0.7899 0.004 0.076 0.000 0.848 0.072
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 4 0.3767 0.7684 0.000 0.120 0.000 0.812 0.068
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 2 0.0404 0.8395 0.000 0.988 0.000 0.000 0.012
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.0162 0.8409 0.000 0.996 0.000 0.000 0.004
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 5 0.3231 0.7696 0.000 0.196 0.000 0.004 0.800
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#> 0BA34100-8588-47B5-A962-4BD1916645B6 1 0.2806 0.7941 0.844 0.000 0.000 0.152 0.004
#> 9CE2E8D4-1AD1-4546-AD5D-D58193F79096 4 0.3355 0.7117 0.184 0.000 0.000 0.804 0.012
#> 92D7DB12-B0E0-4072-98FB-34B112E7728D 1 0.2605 0.8079 0.852 0.000 0.000 0.000 0.148
#> 79FD2101-0A9A-4EA7-A773-5EA8693138D0 2 0.0162 0.8409 0.000 0.996 0.000 0.000 0.004
#> A3A8937A-0B0B-4A68-AE68-81DA9CF7F4FB 4 0.2625 0.7777 0.108 0.000 0.000 0.876 0.016
#> 3EB3C0F8-4CBC-41A7-81E4-4D8A565441A7 4 0.2726 0.7993 0.064 0.000 0.000 0.884 0.052
#> 77EE3B54-FD7A-4ACF-879C-31667ADCCC5B 2 0.0162 0.8409 0.000 0.996 0.000 0.000 0.004
#> 327B2123-6DD8-4263-87DE-EE917E911DD4 4 0.2284 0.7963 0.028 0.004 0.000 0.912 0.056
#> 198A6AD0-79CD-40F5-A622-18AFBE78F2D2 1 0.1430 0.8574 0.944 0.000 0.000 0.052 0.004
#> EEE29DE1-F88C-4184-B499-5E86E2D252C4 1 0.5405 0.4598 0.556 0.000 0.000 0.380 0.064
#> 1E95EA22-BC41-4AAE-AFCC-F9281989A785 4 0.3419 0.7169 0.180 0.000 0.000 0.804 0.016
#> CD3AC0E4-88A9-4084-A2BE-AEE722CF6AA3 1 0.1270 0.8647 0.948 0.000 0.000 0.000 0.052
#> 8D7FABA2-764D-4795-BB04-D9E69E9792B9 1 0.1270 0.8647 0.948 0.000 0.000 0.000 0.052
#> DAC07889-EE06-46E0-B1F1-833ECC0A48A9 2 0.0162 0.8408 0.000 0.996 0.000 0.000 0.004
#> E7B555A3-567B-4A44-8225-D269E73FB50B 5 0.2627 0.7862 0.012 0.044 0.000 0.044 0.900
#> 3CC95101-C35F-4761-9D41-3C35BD55B37E 2 0.1997 0.8074 0.000 0.924 0.000 0.040 0.036
#> F62E5A69-5E81-4B2A-8CC0-F4D6E188B187 1 0.3209 0.8152 0.860 0.004 0.000 0.076 0.060
#> C650633B-A369-4657-8693-FDFBF22BD34E 1 0.6615 0.4470 0.560 0.232 0.000 0.024 0.184
#> 5E514217-F0DB-49FD-9C5D-EB22628ED297 2 0.0162 0.8409 0.000 0.996 0.000 0.000 0.004
#> 6E1DB9BF-06FE-48B1-A2D8-EF2CE7591364 2 0.0693 0.8368 0.012 0.980 0.000 0.000 0.008
#> C9581CE3-58B6-45B4-B4B7-15F555FD84A4 4 0.3239 0.7972 0.068 0.000 0.000 0.852 0.080
#> F56C26ED-9358-485B-8867-EBA1CAA4E2A7 2 0.5051 0.5888 0.264 0.664 0.000 0.000 0.072
#> 45CA3F9E-40EE-43A4-AE57-FE51D4003844 2 0.0162 0.8409 0.000 0.996 0.000 0.000 0.004
#> 47EFA063-19C1-4E1F-ACE8-68D9BAD0B995 1 0.4404 0.7103 0.760 0.000 0.000 0.152 0.088
#> 8C30EA0F-0DA1-43C7-81AE-DE825A53F114 4 0.4844 0.7589 0.032 0.036 0.008 0.756 0.168
#> 2CE7477C-DD09-4B3A-AD65-C696BE8C9B11 1 0.1205 0.8606 0.956 0.000 0.000 0.040 0.004
#> 4DECB19A-290F-4CEB-BE25-AAF9B9E2B58F 1 0.1430 0.8574 0.944 0.000 0.000 0.052 0.004
#> 3DEA9B14-DF42-43A0-AC4A-32AE7A16218D 5 0.2416 0.7985 0.016 0.060 0.000 0.016 0.908
#> 9F57D45B-C62F-44C5-AB9D-0CB54BBA16F5 2 0.7306 0.4423 0.140 0.544 0.000 0.112 0.204
#> 54ACCFD9-A8D6-4E4C-9097-1A0BE258AA1B 1 0.3021 0.8164 0.872 0.004 0.000 0.064 0.060
#> 9EE67DE9-9B56-4773-8F6A-1036D31F568E 4 0.3239 0.7903 0.000 0.068 0.000 0.852 0.080
#> 1B1C9301-D6D6-4F6B-80A3-3603013AA951 2 0.1493 0.8224 0.000 0.948 0.000 0.028 0.024
#> DDDCDF00-FB0A-477B-891B-2EE5E0C8F61E 3 0.0000 0.9857 0.000 0.000 1.000 0.000 0.000
#> 34A3260D-AC4D-416F-ADF0-24013048BC46 2 0.5322 0.4959 0.320 0.608 0.000 0.000 0.072
#> 671C1840-9C1B-4AC1-9564-78802489F763 1 0.1106 0.8654 0.964 0.000 0.000 0.024 0.012
#> BA4F7841-9FC3-4CE6-ACA5-43FC36641640 2 0.5693 0.5837 0.188 0.688 0.000 0.060 0.064
#> 24A02CE5-28E7-457E-8B90-4EACA528B072 1 0.1043 0.8664 0.960 0.000 0.000 0.000 0.040
#> C7008665-F6DE-48B4-A0E7-6C388B72C609 2 0.0162 0.8403 0.004 0.996 0.000 0.000 0.000
#> 50F984AB-95C1-4D7B-A787-418CBB59D165 4 0.2983 0.7983 0.076 0.000 0.000 0.868 0.056
#> 5FFD2A6A-ED8A-44A9-9FC1-3106341C284A 5 0.4210 0.4695 0.000 0.412 0.000 0.000 0.588
#> 7481630E-5CBA-4A4A-A16F-E327BCEE11D3 1 0.1270 0.8647 0.948 0.000 0.000 0.000 0.052
#> 7B3E6643-C148-4266-A3A3-80BAB713DD3E 2 0.0162 0.8409 0.000 0.996 0.000 0.000 0.004
#> BA8564FA-8D4D-4B2F-A178-63209F887A05 1 0.3400 0.8327 0.848 0.004 0.000 0.072 0.076
#> 2FB578F6-E8B7-434D-9720-D448A26C1EFD 1 0.1270 0.8647 0.948 0.000 0.000 0.000 0.052
#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 2 0.5117 0.5761 0.276 0.652 0.000 0.000 0.072
#> 740FCE46-8A4A-4A6A-B79F-78A63D28E313 5 0.3837 0.6568 0.000 0.308 0.000 0.000 0.692
#> 523A5832-0C42-44A4-A58F-7011C3A567DC 3 0.0000 0.9857 0.000 0.000 1.000 0.000 0.000
#> A2C68C81-7371-4E0C-BFD1-EA868A7C9499 2 0.2951 0.7727 0.112 0.860 0.000 0.000 0.028
#> 2EB7025A-D932-4238-BD60-609B25150029 5 0.2875 0.7807 0.060 0.020 0.000 0.032 0.888
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 5 0.3508 0.7229 0.000 0.252 0.000 0.000 0.748
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 2 0.0162 0.8403 0.004 0.996 0.000 0.000 0.000
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 2 0.0162 0.8408 0.000 0.996 0.000 0.000 0.004
#> F081EA01-ED14-491B-9620-BF8F10A7431D 5 0.3775 0.7001 0.016 0.024 0.000 0.148 0.812
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 2 0.0510 0.8365 0.016 0.984 0.000 0.000 0.000
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 4 0.3980 0.7605 0.000 0.128 0.000 0.796 0.076
#> B54639CE-F721-4908-B758-309F148AD3C2 5 0.2444 0.7983 0.012 0.068 0.000 0.016 0.904
#> EB4294E1-3FBC-495C-A041-829A654B59C5 3 0.0727 0.9827 0.004 0.000 0.980 0.004 0.012
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 1 0.1270 0.8647 0.948 0.000 0.000 0.000 0.052
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.0162 0.8409 0.000 0.996 0.000 0.000 0.004
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 1 0.3922 0.7056 0.780 0.180 0.000 0.000 0.040
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.0162 0.8409 0.000 0.996 0.000 0.000 0.004
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 1 0.1478 0.8597 0.936 0.000 0.000 0.000 0.064
#> D34036E4-1122-42AE-B20F-F4C8515872A0 2 0.4278 -0.0374 0.000 0.548 0.000 0.000 0.452
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 2 0.0404 0.8395 0.000 0.988 0.000 0.000 0.012
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 4 0.2864 0.7594 0.136 0.000 0.000 0.852 0.012
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 3 0.0000 0.9857 0.000 0.000 1.000 0.000 0.000
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.0162 0.8408 0.000 0.996 0.000 0.000 0.004
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.0000 0.8408 0.000 1.000 0.000 0.000 0.000
#> F3C13430-405E-432E-8F3E-0DD18E86087E 5 0.6052 0.5769 0.152 0.240 0.000 0.008 0.600
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.0000 0.8408 0.000 1.000 0.000 0.000 0.000
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 1 0.1012 0.8671 0.968 0.000 0.000 0.012 0.020
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.0162 0.8403 0.004 0.996 0.000 0.000 0.000
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.0693 0.8369 0.000 0.980 0.000 0.008 0.012
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 4 0.5036 0.2229 0.452 0.000 0.000 0.516 0.032
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.1571 0.8168 0.060 0.936 0.000 0.000 0.004
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.1270 0.8647 0.948 0.000 0.000 0.000 0.052
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 5 0.4757 0.6084 0.080 0.000 0.000 0.204 0.716
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 1 0.1121 0.8603 0.956 0.000 0.000 0.044 0.000
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.4114 0.3385 0.000 0.624 0.000 0.000 0.376
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.0000 0.9857 0.000 0.000 1.000 0.000 0.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.0727 0.9827 0.004 0.000 0.980 0.004 0.012
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 5 0.3282 0.7735 0.000 0.188 0.000 0.008 0.804
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 2 0.3446 0.7485 0.016 0.828 0.000 0.012 0.144
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.1704 0.8137 0.068 0.928 0.000 0.000 0.004
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 4 0.1965 0.7844 0.096 0.000 0.000 0.904 0.000
#> 343F031B-0095-429D-8212-AD0581DBB05B 4 0.2616 0.7837 0.076 0.000 0.000 0.888 0.036
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 5 0.2853 0.7991 0.040 0.068 0.000 0.008 0.884
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.4333 0.7591 0.752 0.000 0.000 0.188 0.060
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 4 0.4618 0.6904 0.000 0.208 0.000 0.724 0.068
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 5 0.2689 0.7882 0.024 0.036 0.000 0.040 0.900
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 1 0.1502 0.8635 0.940 0.004 0.000 0.000 0.056
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.5037 0.4948 0.336 0.616 0.000 0.000 0.048
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.3561 0.6124 0.000 0.740 0.000 0.000 0.260
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.0912 0.8334 0.000 0.972 0.000 0.016 0.012
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.0000 0.9857 0.000 0.000 1.000 0.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.1430 0.8574 0.944 0.000 0.000 0.052 0.004
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.0451 0.9842 0.000 0.000 0.988 0.004 0.008
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 4 0.3321 0.7807 0.000 0.032 0.000 0.832 0.136
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.0727 0.9827 0.004 0.000 0.980 0.004 0.012
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.0162 0.8409 0.000 0.996 0.000 0.000 0.004
#> FC7821F4-6495-4545-A22A-764BB99B3F79 1 0.4995 0.5256 0.668 0.264 0.000 0.000 0.068
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 5 0.4273 0.3843 0.000 0.448 0.000 0.000 0.552
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 4 0.5311 0.7010 0.012 0.096 0.000 0.692 0.200
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 4 0.5941 0.4504 0.000 0.124 0.000 0.544 0.332
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.0162 0.8408 0.000 0.996 0.000 0.000 0.004
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 5 0.4124 0.6517 0.232 0.016 0.000 0.008 0.744
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 4 0.3387 0.7493 0.004 0.004 0.000 0.796 0.196
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.0671 0.8349 0.016 0.980 0.000 0.000 0.004
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0000 0.9857 0.000 0.000 1.000 0.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 5 0.2511 0.7580 0.028 0.000 0.000 0.080 0.892
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.0290 0.8405 0.000 0.992 0.000 0.000 0.008
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 4 0.2522 0.7786 0.108 0.000 0.000 0.880 0.012
#> BEE081CA-8420-4314-88A0-286BB30FFD65 4 0.4360 0.7022 0.024 0.008 0.000 0.728 0.240
#> C464CD1D-4519-48E8-A18A-403F691E5702 1 0.3452 0.6948 0.756 0.000 0.000 0.000 0.244
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.1430 0.8574 0.944 0.000 0.000 0.052 0.004
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 5 0.2656 0.7947 0.012 0.064 0.000 0.028 0.896
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0000 0.8408 0.000 1.000 0.000 0.000 0.000
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.1671 0.8526 0.924 0.000 0.000 0.000 0.076
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.1270 0.8647 0.948 0.000 0.000 0.000 0.052
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.4370 0.2951 0.444 0.536 0.000 0.004 0.016 0.000
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 6 0.2255 0.6482 0.000 0.004 0.000 0.016 0.088 0.892
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 5 0.2537 0.7786 0.028 0.016 0.000 0.068 0.888 0.000
#> 91202998-760F-4421-B1C4-18639962EDDA 6 0.3668 0.5234 0.004 0.000 0.000 0.328 0.000 0.668
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.1285 0.8067 0.000 0.944 0.000 0.004 0.052 0.000
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 5 0.3853 0.4469 0.000 0.000 0.000 0.016 0.680 0.304
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 6 0.3453 0.6338 0.000 0.000 0.000 0.064 0.132 0.804
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.3266 0.7215 0.000 0.824 0.000 0.036 0.008 0.132
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 5 0.4663 0.6469 0.000 0.192 0.000 0.016 0.708 0.084
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 5 0.2146 0.7667 0.000 0.116 0.000 0.004 0.880 0.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 6 0.3426 0.5748 0.000 0.000 0.000 0.276 0.004 0.720
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.3490 0.6236 0.000 0.000 0.724 0.008 0.000 0.268
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 5 0.3439 0.7490 0.000 0.120 0.000 0.072 0.808 0.000
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 5 0.3531 0.4956 0.328 0.000 0.000 0.000 0.672 0.000
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.1408 0.9612 0.000 0.000 0.944 0.036 0.020 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.4148 0.4965 0.344 0.636 0.000 0.004 0.016 0.000
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.3565 0.3822 0.692 0.000 0.000 0.304 0.000 0.004
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 6 0.0436 0.6512 0.000 0.004 0.000 0.004 0.004 0.988
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 6 0.2265 0.6217 0.000 0.028 0.000 0.056 0.012 0.904
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.0146 0.6455 0.996 0.000 0.000 0.000 0.004 0.000
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.4109 0.4325 0.392 0.596 0.000 0.008 0.004 0.000
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 5 0.4054 0.6940 0.000 0.188 0.000 0.072 0.740 0.000
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 1 0.1442 0.6251 0.944 0.012 0.000 0.004 0.040 0.000
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 4 0.5184 0.5840 0.176 0.000 0.000 0.660 0.016 0.148
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 5 0.1251 0.7910 0.012 0.024 0.000 0.000 0.956 0.008
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 5 0.2687 0.7798 0.008 0.016 0.000 0.072 0.884 0.020
#> 1139D935-739E-4C42-BFCB-06021A85932E 5 0.2618 0.7650 0.000 0.116 0.000 0.024 0.860 0.000
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.1856 0.8010 0.000 0.920 0.000 0.048 0.000 0.032
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.0909 0.9671 0.000 0.000 0.968 0.020 0.012 0.000
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#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 6 0.3330 0.5696 0.000 0.000 0.000 0.284 0.000 0.716
#> 343F031B-0095-429D-8212-AD0581DBB05B 6 0.3547 0.5551 0.000 0.000 0.000 0.300 0.004 0.696
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 5 0.1495 0.7901 0.020 0.020 0.000 0.008 0.948 0.004
#> 03A226C5-398D-41D2-BB72-C97A373CD512 4 0.4041 0.4446 0.292 0.000 0.000 0.684 0.016 0.008
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 6 0.2201 0.6198 0.000 0.036 0.000 0.056 0.004 0.904
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 5 0.1406 0.7865 0.020 0.008 0.000 0.004 0.952 0.016
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 1 0.1036 0.6343 0.964 0.024 0.000 0.004 0.008 0.000
#> F9F33C38-A087-49FF-B994-3C9EE264F448 1 0.4312 -0.1332 0.508 0.476 0.000 0.004 0.012 0.000
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.4561 0.3383 0.008 0.604 0.000 0.012 0.364 0.012
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.2000 0.8047 0.000 0.916 0.000 0.032 0.004 0.048
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.0000 0.9718 0.000 0.000 1.000 0.000 0.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.3081 0.4829 0.776 0.000 0.000 0.220 0.000 0.004
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.0909 0.9671 0.000 0.000 0.968 0.020 0.012 0.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 6 0.2928 0.6533 0.000 0.004 0.000 0.084 0.056 0.856
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.1480 0.9601 0.000 0.000 0.940 0.040 0.020 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.0692 0.8251 0.000 0.976 0.000 0.020 0.004 0.000
#> FC7821F4-6495-4545-A22A-764BB99B3F79 1 0.3087 0.5046 0.808 0.176 0.000 0.004 0.012 0.000
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 5 0.4928 0.2374 0.000 0.444 0.000 0.052 0.500 0.004
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 6 0.4912 0.5564 0.020 0.036 0.000 0.040 0.188 0.716
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 6 0.4819 0.3526 0.000 0.016 0.000 0.032 0.380 0.572
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.0363 0.8272 0.000 0.988 0.000 0.012 0.000 0.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 5 0.4392 0.6042 0.216 0.004 0.000 0.072 0.708 0.000
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 6 0.3894 0.6155 0.000 0.004 0.000 0.072 0.152 0.772
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.3074 0.6893 0.200 0.792 0.000 0.004 0.004 0.000
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0000 0.9718 0.000 0.000 1.000 0.000 0.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 5 0.1536 0.7820 0.024 0.000 0.000 0.012 0.944 0.020
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.0862 0.8266 0.000 0.972 0.000 0.016 0.004 0.008
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 6 0.3619 0.5386 0.000 0.000 0.000 0.316 0.004 0.680
#> BEE081CA-8420-4314-88A0-286BB30FFD65 6 0.4688 0.4733 0.000 0.004 0.000 0.052 0.328 0.616
#> C464CD1D-4519-48E8-A18A-403F691E5702 1 0.3894 0.3079 0.664 0.004 0.000 0.008 0.324 0.000
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.3565 0.3822 0.692 0.000 0.000 0.304 0.000 0.004
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 5 0.1723 0.7882 0.012 0.020 0.000 0.012 0.940 0.016
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0146 0.8265 0.000 0.996 0.000 0.004 0.000 0.000
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.0458 0.6420 0.984 0.000 0.000 0.000 0.016 0.000
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.0146 0.6455 0.996 0.000 0.000 0.000 0.004 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["MAD", "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 17109 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'MAD' method.
#> Subgroups are detected by 'skmeans' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.793 0.876 0.951 0.4977 0.504 0.504
#> 3 3 0.542 0.574 0.776 0.3260 0.711 0.490
#> 4 4 0.638 0.521 0.764 0.1163 0.747 0.412
#> 5 5 0.852 0.854 0.937 0.0715 0.869 0.567
#> 6 6 0.770 0.693 0.813 0.0438 0.935 0.716
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
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.0000 0.9384 0.000 1.000
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 2 0.9795 0.3342 0.416 0.584
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 2 0.0000 0.9384 0.000 1.000
#> 91202998-760F-4421-B1C4-18639962EDDA 1 0.0000 0.9555 1.000 0.000
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.0000 0.9384 0.000 1.000
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 2 0.0000 0.9384 0.000 1.000
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 1 0.9795 0.2380 0.584 0.416
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.0000 0.9384 0.000 1.000
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.0000 0.9384 0.000 1.000
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.0000 0.9384 0.000 1.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 1 0.0000 0.9555 1.000 0.000
#> 784B2359-6064-4FAA-9311-7A852F061FBB 1 0.4690 0.8555 0.900 0.100
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 2 0.0000 0.9384 0.000 1.000
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 2 0.9998 0.0926 0.492 0.508
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 1 0.0000 0.9555 1.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.0000 0.9384 0.000 1.000
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.0000 0.9555 1.000 0.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 2 0.0000 0.9384 0.000 1.000
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 2 0.0000 0.9384 0.000 1.000
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.0000 0.9555 1.000 0.000
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.9286 0.4584 0.344 0.656
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.0000 0.9384 0.000 1.000
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 1 0.1843 0.9307 0.972 0.028
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 1 0.0000 0.9555 1.000 0.000
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.0000 0.9384 0.000 1.000
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 2 0.0000 0.9384 0.000 1.000
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.0000 0.9384 0.000 1.000
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.0000 0.9384 0.000 1.000
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 1 0.0000 0.9555 1.000 0.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.0000 0.9384 0.000 1.000
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 2 0.0672 0.9323 0.008 0.992
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 2 0.4298 0.8668 0.088 0.912
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.0000 0.9384 0.000 1.000
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.0000 0.9384 0.000 1.000
#> 2846A3AC-D102-4E37-9B72-139ED727157A 2 0.0000 0.9384 0.000 1.000
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.0000 0.9384 0.000 1.000
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 1 0.0000 0.9555 1.000 0.000
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.0000 0.9555 1.000 0.000
#> 150F5B77-4848-4D68-800A-0A0236C3661F 2 0.0000 0.9384 0.000 1.000
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.0000 0.9555 1.000 0.000
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.0000 0.9384 0.000 1.000
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.0000 0.9384 0.000 1.000
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 1 0.0000 0.9555 1.000 0.000
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 2 0.9209 0.5220 0.336 0.664
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.0000 0.9384 0.000 1.000
#> 1447B543-D3AC-41B5-878F-B382FE49421B 1 0.0000 0.9555 1.000 0.000
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 2 0.4939 0.8477 0.108 0.892
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 2 0.0000 0.9384 0.000 1.000
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 1 0.0000 0.9555 1.000 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 2 0.0000 0.9384 0.000 1.000
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 2 0.0000 0.9384 0.000 1.000
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.0000 0.9555 1.000 0.000
#> D9225689-21E0-478A-8F79-C26542938B8D 2 0.7219 0.7464 0.200 0.800
#> FC3BA46D-57F6-424C-8D62-16C441035969 2 0.0000 0.9384 0.000 1.000
#> 045CFFE6-4736-42F2-9340-C37690E47882 1 0.0000 0.9555 1.000 0.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 1 0.0000 0.9555 1.000 0.000
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 2 0.3733 0.8810 0.072 0.928
#> E94B217F-C5DC-4F42-8135-E81F338914B5 2 0.0000 0.9384 0.000 1.000
#> AE4C3956-76DF-4059-8D69-3D764F31817F 2 0.0000 0.9384 0.000 1.000
#> 33D6A38E-CD99-437B-99E0-04E72582F777 2 0.0000 0.9384 0.000 1.000
#> 8379051C-5847-42B5-AC5C-A128C166AB97 1 0.0000 0.9555 1.000 0.000
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 1 0.1184 0.9421 0.984 0.016
#> 40A16429-229E-4F40-BFC7-263554438F99 2 0.0000 0.9384 0.000 1.000
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 2 0.7219 0.7464 0.200 0.800
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 2 0.7528 0.7250 0.216 0.784
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 1 0.0000 0.9555 1.000 0.000
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 1 0.6887 0.7495 0.816 0.184
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.0000 0.9384 0.000 1.000
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 1 0.0000 0.9555 1.000 0.000
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 2 0.0000 0.9384 0.000 1.000
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 2 0.0000 0.9384 0.000 1.000
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.0000 0.9384 0.000 1.000
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 2 0.0000 0.9384 0.000 1.000
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 1 0.0000 0.9555 1.000 0.000
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 2 0.0000 0.9384 0.000 1.000
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 2 0.9754 0.2946 0.408 0.592
#> FDB47AC4-CE6A-428B-9B55-EBCEF1970ACB 2 0.7219 0.7464 0.200 0.800
#> 133B7E7B-FD50-48A2-9A35-E6D44FAB976B 2 0.0000 0.9384 0.000 1.000
#> E69E45DA-66A6-438A-9BFC-5F1F7F5C5A87 1 0.0000 0.9555 1.000 0.000
#> 6E242DF5-8B8B-4C6F-870E-C7ADFFAFDF3E 2 0.0000 0.9384 0.000 1.000
#> CB7BBFF1-4BF3-42A9-85C6-680D91503799 1 0.0000 0.9555 1.000 0.000
#> 70AA4670-C75B-4E39-8958-3F9C29811871 2 0.0000 0.9384 0.000 1.000
#> D63C5178-4FF7-4FD0-B87E-6CBF6E7BEF5B 2 0.0000 0.9384 0.000 1.000
#> 814391F8-C5B9-43F6-A330-A6749BB8F16E 2 0.3733 0.8812 0.072 0.928
#> 146ED7EA-BF3C-4BAB-B33C-0A668AB13C80 1 0.0000 0.9555 1.000 0.000
#> FD5CAFE8-E669-406A-A505-A47DCDC32E93 2 0.7219 0.7464 0.200 0.800
#> 4B3C7910-A652-45B5-8218-9002EB0FD9EB 2 0.0000 0.9384 0.000 1.000
#> E410F77D-E31F-4D73-ACAC-9245935A92F5 2 1.0000 0.0626 0.500 0.500
#> 64336403-9037-480C-873A-67BC77119FA5 2 0.0000 0.9384 0.000 1.000
#> 6F9D5013-3B1B-41EE-85DB-E51F5D828DEF 1 0.9661 0.3097 0.608 0.392
#> 155AEBBD-1C12-4F88-90C7-1C7FF7E3FB2C 2 0.1414 0.9237 0.020 0.980
#> D28DDCAA-682C-451F-8327-D2C2AFB044E2 2 0.0000 0.9384 0.000 1.000
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#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.0000 0.9384 0.000 1.000
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.0000 0.9384 0.000 1.000
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.0000 0.9384 0.000 1.000
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 1 0.0000 0.9555 1.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.0000 0.9555 1.000 0.000
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 1 0.0000 0.9555 1.000 0.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 2 0.9815 0.3231 0.420 0.580
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 1 0.0000 0.9555 1.000 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.0000 0.9384 0.000 1.000
#> FC7821F4-6495-4545-A22A-764BB99B3F79 2 0.9996 0.0311 0.488 0.512
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.0000 0.9384 0.000 1.000
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 1 0.5059 0.8429 0.888 0.112
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.0000 0.9384 0.000 1.000
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.0000 0.9384 0.000 1.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 2 0.6973 0.7611 0.188 0.812
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 2 0.9710 0.3759 0.400 0.600
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.0000 0.9384 0.000 1.000
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 1 0.0000 0.9555 1.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 2 0.9710 0.3757 0.400 0.600
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.0000 0.9384 0.000 1.000
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 1 0.0000 0.9555 1.000 0.000
#> BEE081CA-8420-4314-88A0-286BB30FFD65 1 0.9983 0.0258 0.524 0.476
#> C464CD1D-4519-48E8-A18A-403F691E5702 1 0.0376 0.9521 0.996 0.004
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.0000 0.9555 1.000 0.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.6343 0.7939 0.160 0.840
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0000 0.9384 0.000 1.000
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.0000 0.9555 1.000 0.000
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.0000 0.9555 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 1 0.5968 -0.3175 0.636 0.364 0.000
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 3 0.5591 0.5729 0.000 0.304 0.696
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 2 0.4293 0.4670 0.164 0.832 0.004
#> 91202998-760F-4421-B1C4-18639962EDDA 3 0.5365 0.4057 0.252 0.004 0.744
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.5591 0.8013 0.304 0.696 0.000
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 2 0.4555 0.4422 0.000 0.800 0.200
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 3 0.8503 0.5190 0.120 0.304 0.576
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.3043 0.7102 0.084 0.908 0.008
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.0000 0.6696 0.000 1.000 0.000
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.0000 0.6696 0.000 1.000 0.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 3 0.6659 0.5666 0.028 0.304 0.668
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.1753 0.6914 0.048 0.000 0.952
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 2 0.0000 0.6696 0.000 1.000 0.000
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 1 0.6033 0.4553 0.660 0.336 0.004
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.1860 0.6913 0.052 0.000 0.948
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.5650 0.7967 0.312 0.688 0.000
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.5591 0.6756 0.696 0.000 0.304
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 3 0.6597 0.5774 0.036 0.268 0.696
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 3 0.5958 0.4713 0.300 0.008 0.692
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.5591 0.6756 0.696 0.000 0.304
#> D7A50E95-777C-47A6-8F93-031CB4770633 1 0.5098 0.0365 0.752 0.248 0.000
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.0000 0.6696 0.000 1.000 0.000
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 1 0.5591 0.6756 0.696 0.000 0.304
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 3 0.5560 0.3664 0.300 0.000 0.700
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.0000 0.6696 0.000 1.000 0.000
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 2 0.1411 0.6459 0.000 0.964 0.036
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.0000 0.6696 0.000 1.000 0.000
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.5591 0.8013 0.304 0.696 0.000
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.1860 0.6913 0.052 0.000 0.948
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.6260 0.6268 0.448 0.552 0.000
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 3 0.6475 0.4897 0.280 0.028 0.692
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 1 0.1860 0.4689 0.948 0.052 0.000
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.5591 0.8013 0.304 0.696 0.000
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.5591 0.8013 0.304 0.696 0.000
#> 2846A3AC-D102-4E37-9B72-139ED727157A 2 0.0000 0.6696 0.000 1.000 0.000
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 1 0.4842 0.1040 0.776 0.224 0.000
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 3 0.6299 -0.3248 0.476 0.000 0.524
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.6095 0.5948 0.608 0.000 0.392
#> 150F5B77-4848-4D68-800A-0A0236C3661F 2 0.0424 0.6651 0.000 0.992 0.008
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.5591 0.6756 0.696 0.000 0.304
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.5591 0.8013 0.304 0.696 0.000
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.5591 0.8013 0.304 0.696 0.000
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 1 0.6330 0.5812 0.600 0.004 0.396
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 2 0.6215 -0.1738 0.000 0.572 0.428
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.6204 0.6913 0.424 0.576 0.000
#> 1447B543-D3AC-41B5-878F-B382FE49421B 1 0.5591 0.6756 0.696 0.000 0.304
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 1 0.2066 0.4742 0.940 0.060 0.000
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 2 0.9900 0.5030 0.304 0.404 0.292
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.1860 0.6913 0.052 0.000 0.948
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 3 0.9978 -0.3346 0.304 0.336 0.360
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 2 0.1860 0.6337 0.000 0.948 0.052
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.5591 0.6756 0.696 0.000 0.304
#> D9225689-21E0-478A-8F79-C26542938B8D 2 0.5905 0.0606 0.000 0.648 0.352
#> FC3BA46D-57F6-424C-8D62-16C441035969 2 0.0000 0.6696 0.000 1.000 0.000
#> 045CFFE6-4736-42F2-9340-C37690E47882 3 0.1860 0.6913 0.052 0.000 0.948
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 1 0.8821 0.3198 0.552 0.304 0.144
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 1 0.4452 0.5009 0.808 0.192 0.000
#> E94B217F-C5DC-4F42-8135-E81F338914B5 3 0.6252 0.4427 0.000 0.444 0.556
#> AE4C3956-76DF-4059-8D69-3D764F31817F 2 0.0237 0.6717 0.004 0.996 0.000
#> 33D6A38E-CD99-437B-99E0-04E72582F777 3 0.6051 0.4839 0.292 0.012 0.696
#> 8379051C-5847-42B5-AC5C-A128C166AB97 3 0.0237 0.6869 0.000 0.004 0.996
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 3 0.4784 0.5719 0.200 0.004 0.796
#> 40A16429-229E-4F40-BFC7-263554438F99 2 0.0237 0.6674 0.000 0.996 0.004
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 2 0.5859 0.1047 0.000 0.656 0.344
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 3 0.5591 0.5729 0.000 0.304 0.696
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 1 0.6252 0.4497 0.556 0.000 0.444
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 3 0.5639 0.5598 0.080 0.112 0.808
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.5591 0.8013 0.304 0.696 0.000
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 3 0.0237 0.6869 0.000 0.004 0.996
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 2 0.3528 0.6084 0.016 0.892 0.092
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 2 0.5591 0.8013 0.304 0.696 0.000
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.5591 0.8013 0.304 0.696 0.000
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 2 0.0000 0.6696 0.000 1.000 0.000
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 3 0.0475 0.6866 0.004 0.004 0.992
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 1 0.4121 0.2505 0.832 0.168 0.000
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 3 0.2599 0.6837 0.052 0.016 0.932
#> FDB47AC4-CE6A-428B-9B55-EBCEF1970ACB 3 0.6168 0.4849 0.000 0.412 0.588
#> 133B7E7B-FD50-48A2-9A35-E6D44FAB976B 2 0.5785 0.1117 0.332 0.668 0.000
#> E69E45DA-66A6-438A-9BFC-5F1F7F5C5A87 3 0.8065 0.5385 0.092 0.304 0.604
#> 6E242DF5-8B8B-4C6F-870E-C7ADFFAFDF3E 2 0.5591 0.8013 0.304 0.696 0.000
#> CB7BBFF1-4BF3-42A9-85C6-680D91503799 3 0.5365 0.4057 0.252 0.004 0.744
#> 70AA4670-C75B-4E39-8958-3F9C29811871 2 0.9092 0.6791 0.304 0.528 0.168
#> D63C5178-4FF7-4FD0-B87E-6CBF6E7BEF5B 2 0.5591 0.8013 0.304 0.696 0.000
#> 814391F8-C5B9-43F6-A330-A6749BB8F16E 2 0.6244 -0.1747 0.000 0.560 0.440
#> 146ED7EA-BF3C-4BAB-B33C-0A668AB13C80 3 0.8065 0.5388 0.092 0.304 0.604
#> FD5CAFE8-E669-406A-A505-A47DCDC32E93 3 0.6168 0.4857 0.000 0.412 0.588
#> 4B3C7910-A652-45B5-8218-9002EB0FD9EB 2 0.0000 0.6696 0.000 1.000 0.000
#> E410F77D-E31F-4D73-ACAC-9245935A92F5 1 0.7311 0.3882 0.580 0.384 0.036
#> 64336403-9037-480C-873A-67BC77119FA5 2 0.5905 0.7618 0.352 0.648 0.000
#> 6F9D5013-3B1B-41EE-85DB-E51F5D828DEF 3 0.7364 0.5564 0.056 0.304 0.640
#> 155AEBBD-1C12-4F88-90C7-1C7FF7E3FB2C 3 0.5591 0.5729 0.000 0.304 0.696
#> D28DDCAA-682C-451F-8327-D2C2AFB044E2 2 0.5560 0.8002 0.300 0.700 0.000
#> 171523DC-2713-4EBF-A115-53A0BA174545 3 0.1860 0.6913 0.052 0.000 0.948
#> FD223304-87BA-4462-A5E5-01AB8C018C35 3 0.2066 0.6862 0.060 0.000 0.940
#> D8E06D8A-9063-4466-A3B0-7724F4737C7A 3 0.0000 0.6872 0.000 0.000 1.000
#> FFA5FFF7-6301-4CD8-8E63-A4D8294D1B0E 2 0.5580 0.3279 0.008 0.736 0.256
#> AF3648D6-C774-48CC-9428-ADC00402A562 3 0.1860 0.6913 0.052 0.000 0.948
#> BD406B65-B715-444E-95B4-F38D05BAC863 3 0.0237 0.6878 0.004 0.000 0.996
#> 6DB67CA1-0BEB-4585-9867-40E7C8A96D55 2 0.5591 0.8013 0.304 0.696 0.000
#> 49C9DE1D-784D-405A-9DD3-C4D2890D0309 1 0.5591 0.6756 0.696 0.000 0.304
#> 05EC4D30-D34E-4497-B4F4-80AEDC2E70DF 1 0.5591 0.6756 0.696 0.000 0.304
#> CB69E76B-7CD3-49EF-9ADF-75701FE1D0A8 3 0.5591 0.5729 0.000 0.304 0.696
#> 103C6E25-A69A-460E-81C0-7437547E1334 1 0.4291 0.2060 0.820 0.180 0.000
#> 2D986DB0-B5A8-42E8-ACB8-926A16FAABD6 2 0.5591 0.8013 0.304 0.696 0.000
#> 1B9A0F24-8A3F-4693-B09C-5F0EFE5A32A5 1 0.5591 0.6756 0.696 0.000 0.304
#> C064D1FE-753E-4493-907C-C5FFE19F9875 2 0.5591 0.8013 0.304 0.696 0.000
#> 71596860-AEFA-4B94-8ADE-AC33CEA24DD4 2 0.5621 0.7986 0.308 0.692 0.000
#> E9A3A454-AB4D-4683-B276-84DA43792DBB 3 0.9717 0.3794 0.248 0.304 0.448
#> C5717869-8413-4810-A042-32E949AD3B0A 3 0.0000 0.6872 0.000 0.000 1.000
#> F36B393E-859C-49F8-BDF4-ED2CEF4C6307 2 0.7828 -0.2738 0.448 0.500 0.052
#> 4CC9D3F9-983F-4CB2-91F1-0FBB86D53DC3 2 0.6252 0.6631 0.444 0.556 0.000
#> D450F074-CA68-49CE-B0B3-F81A91D54867 3 0.1860 0.6913 0.052 0.000 0.948
#> 2BBD504E-FE90-4142-9204-0E33B6B56C7E 2 0.0000 0.6696 0.000 1.000 0.000
#> 1A457CBF-24DA-44F1-B9ED-F26B8D1245D4 2 0.6143 0.7953 0.304 0.684 0.012
#> F29B5A39-866E-4C9D-BC26-B726FEA5F576 1 0.5591 0.6756 0.696 0.000 0.304
#> 89A4972A-8C91-4272-96BE-BCA9BC447780 2 0.5591 0.8013 0.304 0.696 0.000
#> 70B014FD-A0D0-418C-B55F-D09BAE213D52 2 0.5591 0.8013 0.304 0.696 0.000
#> 8139F417-0548-40B4-851F-A4E149A2E06A 1 0.5591 0.6756 0.696 0.000 0.304
#> 6E9F0021-FA91-4516-9B04-6A978034CECF 1 0.1860 0.4892 0.948 0.000 0.052
#> 49DAF1CD-8E20-433B-91A7-8C885ACB21A5 1 0.7366 0.3736 0.564 0.400 0.036
#> 093765A6-145C-47C3-B87B-4560CD632B4C 2 0.5591 0.8013 0.304 0.696 0.000
#> 90731001-45B2-4601-93F5-064BDD519A30 3 0.1860 0.6913 0.052 0.000 0.948
#> 40BCB65D-BC26-4FEF-941F-6F4A42D475EB 2 0.5591 0.8013 0.304 0.696 0.000
#> 204317C4-B927-4CAC-AADF-E16D19410ADB 2 0.5591 0.8013 0.304 0.696 0.000
#> 1023707A-D6DE-432A-AD2D-2318C3F91FA2 2 0.5591 0.8013 0.304 0.696 0.000
#> 06F79E8E-50E3-485A-82E9-C7CD4C72333B 2 0.5591 0.8013 0.304 0.696 0.000
#> BFAF5464-D239-4A03-AC34-984DEBA84451 2 0.4915 0.4428 0.012 0.804 0.184
#> 96C7C73E-F3E1-4937-A267-B7DAAD8EDE37 3 0.5591 0.5729 0.000 0.304 0.696
#> 1D94B33B-9A3F-40BA-90AF-5248ED058C6F 2 0.4178 0.4699 0.172 0.828 0.000
#> 3407B68D-0277-465B-8819-10FAE3EE6572 3 0.1860 0.6913 0.052 0.000 0.948
#> 868CD0D0-1CB4-4F61-B4ED-EB0C93DD950F 3 0.5591 0.5729 0.000 0.304 0.696
#> 823383C2-6F4D-4C0C-8640-3981A7ED1226 1 0.5591 0.6756 0.696 0.000 0.304
#> 95B76301-6382-4F6E-9E09-60EEFEEA03D5 2 0.5591 0.8013 0.304 0.696 0.000
#> 50A46A4F-883E-4DAA-BD16-FCCC5FA3FCD9 2 0.5591 0.8013 0.304 0.696 0.000
#> 5037DC80-5E81-4281-89A0-E0B58071B1D9 1 0.5591 0.6756 0.696 0.000 0.304
#> 6A228156-7365-4A4D-8E66-AA687BF37A24 1 0.5591 0.6756 0.696 0.000 0.304
#> 868C82CD-CB45-4EC9-96A8-77F0F4E0D874 2 0.4291 0.4665 0.180 0.820 0.000
#> 28F5861F-7081-4CE8-A917-941FCB6206FA 2 0.5591 0.8013 0.304 0.696 0.000
#> 1ED41271-3AA4-43F1-B43C-0D5C4F918FB8 3 0.5785 0.5737 0.004 0.300 0.696
#> 5A879DD8-EB7F-4EB6-9A9A-6D62438D8B95 2 0.5591 0.8013 0.304 0.696 0.000
#> 8B55B4E4-9222-4F69-AD4A-A92AC948F05E 2 0.5591 0.8013 0.304 0.696 0.000
#> 1DCE9448-495E-46D3-8953-D733BD68DFE6 3 0.5958 0.4713 0.300 0.008 0.692
#> C922BF2A-2A98-47CC-9127-1C1A2E38A6B6 1 0.5591 0.6756 0.696 0.000 0.304
#> 3C14A318-E9ED-4383-9F57-E227D478B450 3 0.5690 0.3181 0.288 0.004 0.708
#> 183B0920-7505-4B65-A940-97021F11DDC1 1 0.5591 0.6756 0.696 0.000 0.304
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#> BEE081CA-8420-4314-88A0-286BB30FFD65 3 0.5621 0.5707 0.000 0.308 0.692
#> C464CD1D-4519-48E8-A18A-403F691E5702 1 0.5785 0.4632 0.696 0.300 0.004
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.5591 0.6756 0.696 0.000 0.304
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.4682 0.4374 0.004 0.804 0.192
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.5591 0.8013 0.304 0.696 0.000
#> A563359B-0D55-4826-9229-62A89143C1C6 3 0.6308 -0.3229 0.492 0.000 0.508
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.5591 0.6756 0.696 0.000 0.304
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.5132 0.1279 0.448 0.548 0.000 0.004
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 4 0.6504 0.3798 0.000 0.452 0.072 0.476
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 4 0.3801 0.5438 0.220 0.000 0.000 0.780
#> 91202998-760F-4421-B1C4-18639962EDDA 2 0.7301 -0.4156 0.396 0.452 0.152 0.000
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.4967 0.6709 0.000 0.548 0.000 0.452
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 4 0.1118 0.5231 0.000 0.036 0.000 0.964
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 4 0.5268 0.4449 0.000 0.452 0.008 0.540
#> 54337CE9-6F12-4712-8131-4B83F3216343 4 0.4679 -0.3439 0.000 0.352 0.000 0.648
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 4 0.0000 0.5049 0.000 0.000 0.000 1.000
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 4 0.0000 0.5049 0.000 0.000 0.000 1.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 2 0.7586 -0.4294 0.004 0.452 0.172 0.372
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.0592 0.8367 0.016 0.000 0.984 0.000
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 4 0.0000 0.5049 0.000 0.000 0.000 1.000
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 4 0.4977 0.2340 0.460 0.000 0.000 0.540
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0592 0.8367 0.016 0.000 0.984 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.7216 0.4712 0.208 0.548 0.000 0.244
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.0000 0.8157 1.000 0.000 0.000 0.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 2 0.7013 -0.3725 0.000 0.556 0.152 0.292
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 3 0.7067 0.4882 0.000 0.244 0.568 0.188
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.0000 0.8157 1.000 0.000 0.000 0.000
#> D7A50E95-777C-47A6-8F93-031CB4770633 1 0.5783 0.5235 0.704 0.188 0.000 0.108
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 4 0.0000 0.5049 0.000 0.000 0.000 1.000
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 1 0.0000 0.8157 1.000 0.000 0.000 0.000
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 1 0.7078 0.3082 0.456 0.420 0.124 0.000
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 4 0.0000 0.5049 0.000 0.000 0.000 1.000
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 4 0.2011 0.5419 0.000 0.080 0.000 0.920
#> 1139D935-739E-4C42-BFCB-06021A85932E 4 0.0000 0.5049 0.000 0.000 0.000 1.000
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.4967 0.6709 0.000 0.548 0.000 0.452
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.0592 0.8367 0.016 0.000 0.984 0.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 1 0.7846 -0.0588 0.392 0.336 0.000 0.272
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 3 0.7170 0.4723 0.000 0.268 0.548 0.184
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 1 0.2988 0.7216 0.876 0.112 0.000 0.012
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.4967 0.6709 0.000 0.548 0.000 0.452
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.4967 0.6709 0.000 0.548 0.000 0.452
#> 2846A3AC-D102-4E37-9B72-139ED727157A 4 0.0000 0.5049 0.000 0.000 0.000 1.000
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.5942 0.2131 0.412 0.548 0.000 0.040
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 1 0.5764 0.4335 0.520 0.452 0.028 0.000
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.4399 0.6876 0.760 0.224 0.016 0.000
#> 150F5B77-4848-4D68-800A-0A0236C3661F 4 0.0000 0.5049 0.000 0.000 0.000 1.000
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.0000 0.8157 1.000 0.000 0.000 0.000
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.4967 0.6709 0.000 0.548 0.000 0.452
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.4967 0.6709 0.000 0.548 0.000 0.452
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 1 0.5653 0.4516 0.532 0.448 0.016 0.004
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 4 0.4967 0.2397 0.000 0.000 0.452 0.548
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.6007 0.2223 0.408 0.548 0.000 0.044
#> 1447B543-D3AC-41B5-878F-B382FE49421B 1 0.0000 0.8157 1.000 0.000 0.000 0.000
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 1 0.1970 0.7724 0.932 0.060 0.000 0.008
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 2 0.0336 0.1971 0.000 0.992 0.000 0.008
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.0592 0.8367 0.016 0.000 0.984 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 2 0.0592 0.1802 0.000 0.984 0.016 0.000
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 4 0.4830 0.4910 0.000 0.392 0.000 0.608
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.0000 0.8157 1.000 0.000 0.000 0.000
#> D9225689-21E0-478A-8F79-C26542938B8D 4 0.4776 0.3626 0.000 0.000 0.376 0.624
#> FC3BA46D-57F6-424C-8D62-16C441035969 4 0.0000 0.5049 0.000 0.000 0.000 1.000
#> 045CFFE6-4736-42F2-9340-C37690E47882 3 0.0592 0.8367 0.016 0.000 0.984 0.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 4 0.8239 0.4598 0.088 0.244 0.120 0.548
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 1 0.1256 0.7967 0.964 0.008 0.000 0.028
#> E94B217F-C5DC-4F42-8135-E81F338914B5 3 0.4888 0.2841 0.000 0.000 0.588 0.412
#> AE4C3956-76DF-4059-8D69-3D764F31817F 4 0.1211 0.4461 0.000 0.040 0.000 0.960
#> 33D6A38E-CD99-437B-99E0-04E72582F777 3 0.7205 0.4629 0.000 0.252 0.548 0.200
#> 8379051C-5847-42B5-AC5C-A128C166AB97 3 0.4967 0.5018 0.000 0.452 0.548 0.000
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 3 0.4989 0.4868 0.000 0.472 0.528 0.000
#> 40A16429-229E-4F40-BFC7-263554438F99 4 0.0000 0.5049 0.000 0.000 0.000 1.000
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 4 0.5453 0.4402 0.000 0.036 0.304 0.660
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 4 0.5850 0.2261 0.000 0.032 0.456 0.512
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 1 0.5030 0.6808 0.752 0.188 0.060 0.000
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 3 0.4972 0.4991 0.000 0.456 0.544 0.000
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.4967 0.6709 0.000 0.548 0.000 0.452
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 3 0.4967 0.5018 0.000 0.452 0.548 0.000
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 2 0.4980 -0.3473 0.000 0.680 0.016 0.304
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 2 0.4967 0.6709 0.000 0.548 0.000 0.452
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.4967 0.6709 0.000 0.548 0.000 0.452
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 4 0.0000 0.5049 0.000 0.000 0.000 1.000
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 3 0.4967 0.5018 0.000 0.452 0.548 0.000
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 1 0.4643 0.3910 0.656 0.344 0.000 0.000
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 3 0.4175 0.6215 0.016 0.000 0.784 0.200
#> FDB47AC4-CE6A-428B-9B55-EBCEF1970ACB 4 0.7137 0.3907 0.000 0.188 0.256 0.556
#> 133B7E7B-FD50-48A2-9A35-E6D44FAB976B 4 0.4804 0.3719 0.384 0.000 0.000 0.616
#> E69E45DA-66A6-438A-9BFC-5F1F7F5C5A87 4 0.6000 0.4171 0.000 0.452 0.040 0.508
#> 6E242DF5-8B8B-4C6F-870E-C7ADFFAFDF3E 2 0.4967 0.6709 0.000 0.548 0.000 0.452
#> CB7BBFF1-4BF3-42A9-85C6-680D91503799 2 0.7273 -0.4188 0.400 0.452 0.148 0.000
#> 70AA4670-C75B-4E39-8958-3F9C29811871 2 0.6396 0.6045 0.000 0.548 0.072 0.380
#> D63C5178-4FF7-4FD0-B87E-6CBF6E7BEF5B 2 0.4967 0.6709 0.000 0.548 0.000 0.452
#> 814391F8-C5B9-43F6-A330-A6749BB8F16E 4 0.5508 0.4369 0.000 0.476 0.016 0.508
#> 146ED7EA-BF3C-4BAB-B33C-0A668AB13C80 2 0.7889 -0.4408 0.028 0.452 0.132 0.388
#> FD5CAFE8-E669-406A-A505-A47DCDC32E93 4 0.5268 0.4449 0.000 0.452 0.008 0.540
#> 4B3C7910-A652-45B5-8218-9002EB0FD9EB 4 0.0000 0.5049 0.000 0.000 0.000 1.000
#> E410F77D-E31F-4D73-ACAC-9245935A92F5 4 0.6464 0.3239 0.396 0.032 0.024 0.548
#> 64336403-9037-480C-873A-67BC77119FA5 2 0.4967 0.6709 0.000 0.548 0.000 0.452
#> 6F9D5013-3B1B-41EE-85DB-E51F5D828DEF 4 0.5488 0.4401 0.000 0.452 0.016 0.532
#> 155AEBBD-1C12-4F88-90C7-1C7FF7E3FB2C 3 0.4967 0.5018 0.000 0.452 0.548 0.000
#> D28DDCAA-682C-451F-8327-D2C2AFB044E2 4 0.4972 -0.5559 0.000 0.456 0.000 0.544
#> 171523DC-2713-4EBF-A115-53A0BA174545 3 0.0592 0.8367 0.016 0.000 0.984 0.000
#> FD223304-87BA-4462-A5E5-01AB8C018C35 3 0.4746 0.3284 0.368 0.000 0.632 0.000
#> D8E06D8A-9063-4466-A3B0-7724F4737C7A 3 0.0000 0.8264 0.000 0.000 1.000 0.000
#> FFA5FFF7-6301-4CD8-8E63-A4D8294D1B0E 4 0.4617 0.5381 0.000 0.032 0.204 0.764
#> AF3648D6-C774-48CC-9428-ADC00402A562 3 0.0592 0.8367 0.016 0.000 0.984 0.000
#> BD406B65-B715-444E-95B4-F38D05BAC863 3 0.4967 0.5018 0.000 0.452 0.548 0.000
#> 6DB67CA1-0BEB-4585-9867-40E7C8A96D55 2 0.4967 0.6709 0.000 0.548 0.000 0.452
#> 49C9DE1D-784D-405A-9DD3-C4D2890D0309 1 0.0000 0.8157 1.000 0.000 0.000 0.000
#> 05EC4D30-D34E-4497-B4F4-80AEDC2E70DF 1 0.0000 0.8157 1.000 0.000 0.000 0.000
#> CB69E76B-7CD3-49EF-9ADF-75701FE1D0A8 4 0.6000 0.4171 0.000 0.452 0.040 0.508
#> 103C6E25-A69A-460E-81C0-7437547E1334 1 0.2704 0.7169 0.876 0.124 0.000 0.000
#> 2D986DB0-B5A8-42E8-ACB8-926A16FAABD6 2 0.4967 0.6709 0.000 0.548 0.000 0.452
#> 1B9A0F24-8A3F-4693-B09C-5F0EFE5A32A5 1 0.0000 0.8157 1.000 0.000 0.000 0.000
#> C064D1FE-753E-4493-907C-C5FFE19F9875 2 0.4967 0.6709 0.000 0.548 0.000 0.452
#> 71596860-AEFA-4B94-8ADE-AC33CEA24DD4 2 0.4967 0.6709 0.000 0.548 0.000 0.452
#> E9A3A454-AB4D-4683-B276-84DA43792DBB 4 0.7079 0.3865 0.044 0.452 0.040 0.464
#> C5717869-8413-4810-A042-32E949AD3B0A 3 0.4103 0.6581 0.000 0.256 0.744 0.000
#> F36B393E-859C-49F8-BDF4-ED2CEF4C6307 4 0.5488 0.4401 0.000 0.452 0.016 0.532
#> 4CC9D3F9-983F-4CB2-91F1-0FBB86D53DC3 2 0.6070 0.2314 0.404 0.548 0.000 0.048
#> D450F074-CA68-49CE-B0B3-F81A91D54867 3 0.0592 0.8367 0.016 0.000 0.984 0.000
#> 2BBD504E-FE90-4142-9204-0E33B6B56C7E 4 0.0000 0.5049 0.000 0.000 0.000 1.000
#> 1A457CBF-24DA-44F1-B9ED-F26B8D1245D4 2 0.4967 0.6709 0.000 0.548 0.000 0.452
#> F29B5A39-866E-4C9D-BC26-B726FEA5F576 1 0.0000 0.8157 1.000 0.000 0.000 0.000
#> 89A4972A-8C91-4272-96BE-BCA9BC447780 2 0.4967 0.6709 0.000 0.548 0.000 0.452
#> 70B014FD-A0D0-418C-B55F-D09BAE213D52 2 0.4967 0.6709 0.000 0.548 0.000 0.452
#> 8139F417-0548-40B4-851F-A4E149A2E06A 1 0.0000 0.8157 1.000 0.000 0.000 0.000
#> 6E9F0021-FA91-4516-9B04-6A978034CECF 1 0.3280 0.7448 0.860 0.124 0.016 0.000
#> 49DAF1CD-8E20-433B-91A7-8C885ACB21A5 4 0.5746 0.3412 0.396 0.032 0.000 0.572
#> 093765A6-145C-47C3-B87B-4560CD632B4C 2 0.4967 0.6709 0.000 0.548 0.000 0.452
#> 90731001-45B2-4601-93F5-064BDD519A30 3 0.0592 0.8367 0.016 0.000 0.984 0.000
#> 40BCB65D-BC26-4FEF-941F-6F4A42D475EB 2 0.5800 0.6448 0.032 0.548 0.000 0.420
#> 204317C4-B927-4CAC-AADF-E16D19410ADB 2 0.4967 0.6709 0.000 0.548 0.000 0.452
#> 1023707A-D6DE-432A-AD2D-2318C3F91FA2 2 0.4967 0.6709 0.000 0.548 0.000 0.452
#> 06F79E8E-50E3-485A-82E9-C7CD4C72333B 2 0.4967 0.6709 0.000 0.548 0.000 0.452
#> BFAF5464-D239-4A03-AC34-984DEBA84451 4 0.4012 0.5558 0.016 0.000 0.184 0.800
#> 96C7C73E-F3E1-4937-A267-B7DAAD8EDE37 2 0.7448 -0.4288 0.000 0.452 0.176 0.372
#> 1D94B33B-9A3F-40BA-90AF-5248ED058C6F 4 0.4624 0.4365 0.340 0.000 0.000 0.660
#> 3407B68D-0277-465B-8819-10FAE3EE6572 3 0.0592 0.8367 0.016 0.000 0.984 0.000
#> 868CD0D0-1CB4-4F61-B4ED-EB0C93DD950F 4 0.5800 0.2742 0.000 0.032 0.420 0.548
#> 823383C2-6F4D-4C0C-8640-3981A7ED1226 1 0.0000 0.8157 1.000 0.000 0.000 0.000
#> 95B76301-6382-4F6E-9E09-60EEFEEA03D5 2 0.4967 0.6709 0.000 0.548 0.000 0.452
#> 50A46A4F-883E-4DAA-BD16-FCCC5FA3FCD9 2 0.4981 0.6578 0.000 0.536 0.000 0.464
#> 5037DC80-5E81-4281-89A0-E0B58071B1D9 1 0.0000 0.8157 1.000 0.000 0.000 0.000
#> 6A228156-7365-4A4D-8E66-AA687BF37A24 1 0.0000 0.8157 1.000 0.000 0.000 0.000
#> 868C82CD-CB45-4EC9-96A8-77F0F4E0D874 4 0.4843 0.3523 0.396 0.000 0.000 0.604
#> 28F5861F-7081-4CE8-A917-941FCB6206FA 2 0.4967 0.6709 0.000 0.548 0.000 0.452
#> 1ED41271-3AA4-43F1-B43C-0D5C4F918FB8 3 0.5750 0.6025 0.000 0.216 0.696 0.088
#> 5A879DD8-EB7F-4EB6-9A9A-6D62438D8B95 2 0.4967 0.6709 0.000 0.548 0.000 0.452
#> 8B55B4E4-9222-4F69-AD4A-A92AC948F05E 2 0.4967 0.6709 0.000 0.548 0.000 0.452
#> 1DCE9448-495E-46D3-8953-D733BD68DFE6 3 0.7252 0.4497 0.000 0.292 0.528 0.180
#> C922BF2A-2A98-47CC-9127-1C1A2E38A6B6 1 0.0000 0.8157 1.000 0.000 0.000 0.000
#> 3C14A318-E9ED-4383-9F57-E227D478B450 2 0.7081 -0.4425 0.424 0.452 0.124 0.000
#> 183B0920-7505-4B65-A940-97021F11DDC1 1 0.0000 0.8157 1.000 0.000 0.000 0.000
#> CF8B38D4-717B-4F8A-8DA4-8B721E6DFB1C 2 0.4967 0.6709 0.000 0.548 0.000 0.452
#> 0C7BEFDE-507E-43B2-938D-5695FE462875 4 0.5800 0.2960 0.420 0.032 0.000 0.548
#> 940D45CC-1300-4E92-A79A-6EDC8118E9E2 1 0.5678 0.4390 0.524 0.452 0.024 0.000
#> 772D02BF-D8A6-4C99-8C82-5902DEB3A067 4 0.3791 0.5463 0.004 0.000 0.200 0.796
#> F5D71464-EFD6-4922-9BC9-2620A90DA6F4 4 0.1211 0.4461 0.000 0.040 0.000 0.960
#> 7C8BDCBF-68D3-4E03-B2D3-31D12CE2784D 2 0.4434 0.4290 0.000 0.756 0.016 0.228
#> 9DF2F46F-A133-4892-B895-3102F7ACA5DB 3 0.0592 0.8367 0.016 0.000 0.984 0.000
#> 8A7A65FE-1A7E-42E5-8A5A-55E7733521DA 4 0.0000 0.5049 0.000 0.000 0.000 1.000
#> 40566B4F-12CE-4FB2-9A64-4C59EC0793F2 3 0.0592 0.8367 0.016 0.000 0.984 0.000
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#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 4 0.2149 0.3605 0.000 0.088 0.000 0.912
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.5565 -0.1188 0.068 0.700 0.232 0.000
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 4 0.1488 0.5188 0.000 0.032 0.012 0.956
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.4967 0.6709 0.000 0.548 0.000 0.452
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 4 0.4967 0.2510 0.452 0.000 0.000 0.548
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 4 0.5488 0.4401 0.000 0.452 0.016 0.532
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.4967 0.6709 0.000 0.548 0.000 0.452
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0592 0.8367 0.016 0.000 0.984 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 4 0.5257 0.4529 0.008 0.444 0.000 0.548
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.4967 0.6709 0.000 0.548 0.000 0.452
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 2 0.7273 -0.4188 0.400 0.452 0.148 0.000
#> BEE081CA-8420-4314-88A0-286BB30FFD65 4 0.6376 0.4410 0.000 0.396 0.068 0.536
#> C464CD1D-4519-48E8-A18A-403F691E5702 1 0.3311 0.6376 0.828 0.000 0.000 0.172
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.0000 0.8157 1.000 0.000 0.000 0.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 4 0.3610 0.5463 0.000 0.000 0.200 0.800
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.4967 0.6709 0.000 0.548 0.000 0.452
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.4855 0.3072 0.600 0.000 0.400 0.000
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.0000 0.8157 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
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.3837 0.5770 0.308 0.692 0.000 0.000 0.000
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 4 0.0000 0.9206 0.000 0.000 0.000 1.000 0.000
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 5 0.0000 0.9049 0.000 0.000 0.000 0.000 1.000
#> 91202998-760F-4421-B1C4-18639962EDDA 4 0.0000 0.9206 0.000 0.000 0.000 1.000 0.000
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.0000 0.9359 0.000 1.000 0.000 0.000 0.000
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 5 0.0000 0.9049 0.000 0.000 0.000 0.000 1.000
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 4 0.3039 0.7307 0.000 0.000 0.000 0.808 0.192
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.0000 0.9359 0.000 1.000 0.000 0.000 0.000
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 5 0.0000 0.9049 0.000 0.000 0.000 0.000 1.000
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 5 0.0000 0.9049 0.000 0.000 0.000 0.000 1.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 4 0.0000 0.9206 0.000 0.000 0.000 1.000 0.000
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.0000 0.9613 0.000 0.000 1.000 0.000 0.000
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 5 0.0000 0.9049 0.000 0.000 0.000 0.000 1.000
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 5 0.0290 0.9014 0.008 0.000 0.000 0.000 0.992
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0000 0.9613 0.000 0.000 1.000 0.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.3003 0.7586 0.188 0.812 0.000 0.000 0.000
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.0000 0.9240 1.000 0.000 0.000 0.000 0.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 4 0.0000 0.9206 0.000 0.000 0.000 1.000 0.000
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 4 0.3756 0.6596 0.000 0.248 0.008 0.744 0.000
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.0000 0.9240 1.000 0.000 0.000 0.000 0.000
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.4305 0.0654 0.488 0.512 0.000 0.000 0.000
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 5 0.1792 0.8564 0.000 0.084 0.000 0.000 0.916
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 1 0.0000 0.9240 1.000 0.000 0.000 0.000 0.000
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 4 0.3838 0.5826 0.280 0.000 0.004 0.716 0.000
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 5 0.0000 0.9049 0.000 0.000 0.000 0.000 1.000
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 5 0.0000 0.9049 0.000 0.000 0.000 0.000 1.000
#> 1139D935-739E-4C42-BFCB-06021A85932E 5 0.0000 0.9049 0.000 0.000 0.000 0.000 1.000
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.0000 0.9359 0.000 1.000 0.000 0.000 0.000
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.0000 0.9613 0.000 0.000 1.000 0.000 0.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 5 0.2648 0.7790 0.000 0.152 0.000 0.000 0.848
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 4 0.2966 0.7407 0.000 0.184 0.000 0.816 0.000
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 1 0.3636 0.6273 0.728 0.000 0.000 0.000 0.272
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.0000 0.9359 0.000 1.000 0.000 0.000 0.000
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.0000 0.9359 0.000 1.000 0.000 0.000 0.000
#> 2846A3AC-D102-4E37-9B72-139ED727157A 5 0.3109 0.7489 0.000 0.200 0.000 0.000 0.800
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.4192 0.3691 0.404 0.596 0.000 0.000 0.000
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 4 0.0000 0.9206 0.000 0.000 0.000 1.000 0.000
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.4302 0.1458 0.520 0.000 0.000 0.480 0.000
#> 150F5B77-4848-4D68-800A-0A0236C3661F 5 0.0290 0.9020 0.000 0.008 0.000 0.000 0.992
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.0000 0.9240 1.000 0.000 0.000 0.000 0.000
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.0000 0.9359 0.000 1.000 0.000 0.000 0.000
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.0000 0.9359 0.000 1.000 0.000 0.000 0.000
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 4 0.1792 0.8543 0.084 0.000 0.000 0.916 0.000
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 5 0.0000 0.9049 0.000 0.000 0.000 0.000 1.000
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.3876 0.5625 0.316 0.684 0.000 0.000 0.000
#> 1447B543-D3AC-41B5-878F-B382FE49421B 1 0.0000 0.9240 1.000 0.000 0.000 0.000 0.000
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 1 0.0000 0.9240 1.000 0.000 0.000 0.000 0.000
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 4 0.3966 0.4854 0.000 0.336 0.000 0.664 0.000
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.0000 0.9613 0.000 0.000 1.000 0.000 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 4 0.0000 0.9206 0.000 0.000 0.000 1.000 0.000
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 5 0.3461 0.6936 0.000 0.004 0.000 0.224 0.772
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.0000 0.9240 1.000 0.000 0.000 0.000 0.000
#> D9225689-21E0-478A-8F79-C26542938B8D 5 0.0671 0.8961 0.000 0.016 0.000 0.004 0.980
#> FC3BA46D-57F6-424C-8D62-16C441035969 5 0.0000 0.9049 0.000 0.000 0.000 0.000 1.000
#> 045CFFE6-4736-42F2-9340-C37690E47882 3 0.0000 0.9613 0.000 0.000 1.000 0.000 0.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 5 0.0000 0.9049 0.000 0.000 0.000 0.000 1.000
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 1 0.0290 0.9186 0.992 0.000 0.000 0.000 0.008
#> E94B217F-C5DC-4F42-8135-E81F338914B5 3 0.4114 0.4053 0.000 0.376 0.624 0.000 0.000
#> AE4C3956-76DF-4059-8D69-3D764F31817F 5 0.0162 0.9036 0.000 0.004 0.000 0.000 0.996
#> 33D6A38E-CD99-437B-99E0-04E72582F777 4 0.3109 0.7224 0.000 0.200 0.000 0.800 0.000
#> 8379051C-5847-42B5-AC5C-A128C166AB97 4 0.0000 0.9206 0.000 0.000 0.000 1.000 0.000
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 4 0.0000 0.9206 0.000 0.000 0.000 1.000 0.000
#> 40A16429-229E-4F40-BFC7-263554438F99 5 0.0000 0.9049 0.000 0.000 0.000 0.000 1.000
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 5 0.0000 0.9049 0.000 0.000 0.000 0.000 1.000
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 5 0.5681 0.4896 0.000 0.000 0.124 0.268 0.608
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 1 0.3794 0.7713 0.800 0.000 0.048 0.152 0.000
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 4 0.0000 0.9206 0.000 0.000 0.000 1.000 0.000
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.0000 0.9359 0.000 1.000 0.000 0.000 0.000
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 4 0.0000 0.9206 0.000 0.000 0.000 1.000 0.000
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 4 0.0000 0.9206 0.000 0.000 0.000 1.000 0.000
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 2 0.0000 0.9359 0.000 1.000 0.000 0.000 0.000
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.0000 0.9359 0.000 1.000 0.000 0.000 0.000
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 5 0.0703 0.8944 0.000 0.024 0.000 0.000 0.976
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 4 0.0000 0.9206 0.000 0.000 0.000 1.000 0.000
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 1 0.0000 0.9240 1.000 0.000 0.000 0.000 0.000
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 3 0.3109 0.7378 0.000 0.000 0.800 0.000 0.200
#> FDB47AC4-CE6A-428B-9B55-EBCEF1970ACB 5 0.0000 0.9049 0.000 0.000 0.000 0.000 1.000
#> 133B7E7B-FD50-48A2-9A35-E6D44FAB976B 5 0.0000 0.9049 0.000 0.000 0.000 0.000 1.000
#> E69E45DA-66A6-438A-9BFC-5F1F7F5C5A87 4 0.0000 0.9206 0.000 0.000 0.000 1.000 0.000
#> 6E242DF5-8B8B-4C6F-870E-C7ADFFAFDF3E 2 0.0000 0.9359 0.000 1.000 0.000 0.000 0.000
#> CB7BBFF1-4BF3-42A9-85C6-680D91503799 4 0.0000 0.9206 0.000 0.000 0.000 1.000 0.000
#> 70AA4670-C75B-4E39-8958-3F9C29811871 2 0.3816 0.5613 0.000 0.696 0.000 0.000 0.304
#> D63C5178-4FF7-4FD0-B87E-6CBF6E7BEF5B 2 0.0000 0.9359 0.000 1.000 0.000 0.000 0.000
#> 814391F8-C5B9-43F6-A330-A6749BB8F16E 4 0.3074 0.7313 0.000 0.000 0.000 0.804 0.196
#> 146ED7EA-BF3C-4BAB-B33C-0A668AB13C80 4 0.0000 0.9206 0.000 0.000 0.000 1.000 0.000
#> FD5CAFE8-E669-406A-A505-A47DCDC32E93 4 0.2329 0.8161 0.000 0.000 0.000 0.876 0.124
#> 4B3C7910-A652-45B5-8218-9002EB0FD9EB 5 0.0000 0.9049 0.000 0.000 0.000 0.000 1.000
#> E410F77D-E31F-4D73-ACAC-9245935A92F5 5 0.0000 0.9049 0.000 0.000 0.000 0.000 1.000
#> 64336403-9037-480C-873A-67BC77119FA5 2 0.0000 0.9359 0.000 1.000 0.000 0.000 0.000
#> 6F9D5013-3B1B-41EE-85DB-E51F5D828DEF 4 0.0000 0.9206 0.000 0.000 0.000 1.000 0.000
#> 155AEBBD-1C12-4F88-90C7-1C7FF7E3FB2C 4 0.0000 0.9206 0.000 0.000 0.000 1.000 0.000
#> D28DDCAA-682C-451F-8327-D2C2AFB044E2 5 0.3210 0.7086 0.000 0.212 0.000 0.000 0.788
#> 171523DC-2713-4EBF-A115-53A0BA174545 3 0.0000 0.9613 0.000 0.000 1.000 0.000 0.000
#> FD223304-87BA-4462-A5E5-01AB8C018C35 3 0.4297 0.0399 0.472 0.000 0.528 0.000 0.000
#> D8E06D8A-9063-4466-A3B0-7724F4737C7A 3 0.0162 0.9578 0.000 0.000 0.996 0.004 0.000
#> FFA5FFF7-6301-4CD8-8E63-A4D8294D1B0E 5 0.0000 0.9049 0.000 0.000 0.000 0.000 1.000
#> AF3648D6-C774-48CC-9428-ADC00402A562 3 0.0000 0.9613 0.000 0.000 1.000 0.000 0.000
#> BD406B65-B715-444E-95B4-F38D05BAC863 4 0.0000 0.9206 0.000 0.000 0.000 1.000 0.000
#> 6DB67CA1-0BEB-4585-9867-40E7C8A96D55 2 0.0000 0.9359 0.000 1.000 0.000 0.000 0.000
#> 49C9DE1D-784D-405A-9DD3-C4D2890D0309 1 0.0000 0.9240 1.000 0.000 0.000 0.000 0.000
#> 05EC4D30-D34E-4497-B4F4-80AEDC2E70DF 1 0.0000 0.9240 1.000 0.000 0.000 0.000 0.000
#> CB69E76B-7CD3-49EF-9ADF-75701FE1D0A8 4 0.0000 0.9206 0.000 0.000 0.000 1.000 0.000
#> 103C6E25-A69A-460E-81C0-7437547E1334 1 0.0000 0.9240 1.000 0.000 0.000 0.000 0.000
#> 2D986DB0-B5A8-42E8-ACB8-926A16FAABD6 2 0.0000 0.9359 0.000 1.000 0.000 0.000 0.000
#> 1B9A0F24-8A3F-4693-B09C-5F0EFE5A32A5 1 0.0000 0.9240 1.000 0.000 0.000 0.000 0.000
#> C064D1FE-753E-4493-907C-C5FFE19F9875 2 0.0000 0.9359 0.000 1.000 0.000 0.000 0.000
#> 71596860-AEFA-4B94-8ADE-AC33CEA24DD4 2 0.0000 0.9359 0.000 1.000 0.000 0.000 0.000
#> E9A3A454-AB4D-4683-B276-84DA43792DBB 4 0.0000 0.9206 0.000 0.000 0.000 1.000 0.000
#> C5717869-8413-4810-A042-32E949AD3B0A 4 0.3039 0.7341 0.000 0.000 0.192 0.808 0.000
#> F36B393E-859C-49F8-BDF4-ED2CEF4C6307 4 0.0880 0.8980 0.000 0.000 0.000 0.968 0.032
#> 4CC9D3F9-983F-4CB2-91F1-0FBB86D53DC3 2 0.3074 0.7491 0.196 0.804 0.000 0.000 0.000
#> D450F074-CA68-49CE-B0B3-F81A91D54867 3 0.0000 0.9613 0.000 0.000 1.000 0.000 0.000
#> 2BBD504E-FE90-4142-9204-0E33B6B56C7E 5 0.0000 0.9049 0.000 0.000 0.000 0.000 1.000
#> 1A457CBF-24DA-44F1-B9ED-F26B8D1245D4 2 0.0000 0.9359 0.000 1.000 0.000 0.000 0.000
#> F29B5A39-866E-4C9D-BC26-B726FEA5F576 1 0.0000 0.9240 1.000 0.000 0.000 0.000 0.000
#> 89A4972A-8C91-4272-96BE-BCA9BC447780 2 0.0000 0.9359 0.000 1.000 0.000 0.000 0.000
#> 70B014FD-A0D0-418C-B55F-D09BAE213D52 2 0.0000 0.9359 0.000 1.000 0.000 0.000 0.000
#> 8139F417-0548-40B4-851F-A4E149A2E06A 1 0.0000 0.9240 1.000 0.000 0.000 0.000 0.000
#> 6E9F0021-FA91-4516-9B04-6A978034CECF 4 0.4182 0.3486 0.400 0.000 0.000 0.600 0.000
#> 49DAF1CD-8E20-433B-91A7-8C885ACB21A5 5 0.0000 0.9049 0.000 0.000 0.000 0.000 1.000
#> 093765A6-145C-47C3-B87B-4560CD632B4C 2 0.0000 0.9359 0.000 1.000 0.000 0.000 0.000
#> 90731001-45B2-4601-93F5-064BDD519A30 3 0.0000 0.9613 0.000 0.000 1.000 0.000 0.000
#> 40BCB65D-BC26-4FEF-941F-6F4A42D475EB 2 0.0290 0.9300 0.008 0.992 0.000 0.000 0.000
#> 204317C4-B927-4CAC-AADF-E16D19410ADB 2 0.0000 0.9359 0.000 1.000 0.000 0.000 0.000
#> 1023707A-D6DE-432A-AD2D-2318C3F91FA2 2 0.0000 0.9359 0.000 1.000 0.000 0.000 0.000
#> 06F79E8E-50E3-485A-82E9-C7CD4C72333B 2 0.0000 0.9359 0.000 1.000 0.000 0.000 0.000
#> BFAF5464-D239-4A03-AC34-984DEBA84451 5 0.0000 0.9049 0.000 0.000 0.000 0.000 1.000
#> 96C7C73E-F3E1-4937-A267-B7DAAD8EDE37 4 0.0000 0.9206 0.000 0.000 0.000 1.000 0.000
#> 1D94B33B-9A3F-40BA-90AF-5248ED058C6F 5 0.0000 0.9049 0.000 0.000 0.000 0.000 1.000
#> 3407B68D-0277-465B-8819-10FAE3EE6572 3 0.0000 0.9613 0.000 0.000 1.000 0.000 0.000
#> 868CD0D0-1CB4-4F61-B4ED-EB0C93DD950F 5 0.0000 0.9049 0.000 0.000 0.000 0.000 1.000
#> 823383C2-6F4D-4C0C-8640-3981A7ED1226 1 0.0000 0.9240 1.000 0.000 0.000 0.000 0.000
#> 95B76301-6382-4F6E-9E09-60EEFEEA03D5 2 0.0000 0.9359 0.000 1.000 0.000 0.000 0.000
#> 50A46A4F-883E-4DAA-BD16-FCCC5FA3FCD9 5 0.4268 0.1858 0.000 0.444 0.000 0.000 0.556
#> 5037DC80-5E81-4281-89A0-E0B58071B1D9 1 0.0000 0.9240 1.000 0.000 0.000 0.000 0.000
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#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.0000 0.9359 0.000 1.000 0.000 0.000 0.000
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.0000 0.9359 0.000 1.000 0.000 0.000 0.000
#> F3C13430-405E-432E-8F3E-0DD18E86087E 5 0.3109 0.7379 0.200 0.000 0.000 0.000 0.800
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.0000 0.9359 0.000 1.000 0.000 0.000 0.000
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 1 0.0000 0.9240 1.000 0.000 0.000 0.000 0.000
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.0000 0.9359 0.000 1.000 0.000 0.000 0.000
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.0000 0.9359 0.000 1.000 0.000 0.000 0.000
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 1 0.3835 0.6191 0.732 0.000 0.000 0.260 0.008
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.0162 0.9331 0.004 0.996 0.000 0.000 0.000
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.0000 0.9240 1.000 0.000 0.000 0.000 0.000
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 5 0.3109 0.7264 0.000 0.000 0.000 0.200 0.800
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 1 0.0000 0.9240 1.000 0.000 0.000 0.000 0.000
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 5 0.2179 0.8204 0.000 0.112 0.000 0.000 0.888
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.0000 0.9613 0.000 0.000 1.000 0.000 0.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.0000 0.9613 0.000 0.000 1.000 0.000 0.000
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 5 0.0290 0.9020 0.000 0.008 0.000 0.000 0.992
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 2 0.0000 0.9359 0.000 1.000 0.000 0.000 0.000
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.0162 0.9331 0.004 0.996 0.000 0.000 0.000
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 4 0.0000 0.9206 0.000 0.000 0.000 1.000 0.000
#> 343F031B-0095-429D-8212-AD0581DBB05B 4 0.0000 0.9206 0.000 0.000 0.000 1.000 0.000
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 5 0.0000 0.9049 0.000 0.000 0.000 0.000 1.000
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.2074 0.8504 0.896 0.000 0.000 0.104 0.000
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 4 0.3424 0.6758 0.000 0.240 0.000 0.760 0.000
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 5 0.0000 0.9049 0.000 0.000 0.000 0.000 1.000
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 1 0.0000 0.9240 1.000 0.000 0.000 0.000 0.000
#> F9F33C38-A087-49FF-B994-3C9EE264F448 1 0.0000 0.9240 1.000 0.000 0.000 0.000 0.000
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.3210 0.7125 0.000 0.788 0.000 0.000 0.212
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.0000 0.9359 0.000 1.000 0.000 0.000 0.000
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.0000 0.9613 0.000 0.000 1.000 0.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.0000 0.9240 1.000 0.000 0.000 0.000 0.000
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.0000 0.9613 0.000 0.000 1.000 0.000 0.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 4 0.0000 0.9206 0.000 0.000 0.000 1.000 0.000
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.0000 0.9613 0.000 0.000 1.000 0.000 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.0000 0.9359 0.000 1.000 0.000 0.000 0.000
#> FC7821F4-6495-4545-A22A-764BB99B3F79 1 0.0000 0.9240 1.000 0.000 0.000 0.000 0.000
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 5 0.4306 0.1183 0.000 0.492 0.000 0.000 0.508
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 4 0.2179 0.8274 0.112 0.000 0.000 0.888 0.000
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 5 0.3424 0.6563 0.000 0.000 0.000 0.240 0.760
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.0000 0.9359 0.000 1.000 0.000 0.000 0.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 5 0.3109 0.7379 0.200 0.000 0.000 0.000 0.800
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 4 0.0000 0.9206 0.000 0.000 0.000 1.000 0.000
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.0000 0.9359 0.000 1.000 0.000 0.000 0.000
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0000 0.9613 0.000 0.000 1.000 0.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 5 0.0000 0.9049 0.000 0.000 0.000 0.000 1.000
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.0000 0.9359 0.000 1.000 0.000 0.000 0.000
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 4 0.0000 0.9206 0.000 0.000 0.000 1.000 0.000
#> BEE081CA-8420-4314-88A0-286BB30FFD65 4 0.3480 0.6686 0.000 0.000 0.000 0.752 0.248
#> C464CD1D-4519-48E8-A18A-403F691E5702 1 0.3143 0.7372 0.796 0.000 0.000 0.000 0.204
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.0000 0.9240 1.000 0.000 0.000 0.000 0.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 5 0.0000 0.9049 0.000 0.000 0.000 0.000 1.000
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0000 0.9359 0.000 1.000 0.000 0.000 0.000
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.3932 0.5194 0.672 0.000 0.328 0.000 0.000
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.0000 0.9240 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
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 1 0.4681 -0.02647 0.524 0.432 0.000 0.000 0.000 0.044
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 4 0.3499 0.26699 0.000 0.000 0.000 0.680 0.000 0.320
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 5 0.0000 0.89162 0.000 0.000 0.000 0.000 1.000 0.000
#> 91202998-760F-4421-B1C4-18639962EDDA 4 0.0000 0.77173 0.000 0.000 0.000 1.000 0.000 0.000
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.1168 0.83698 0.028 0.956 0.000 0.000 0.000 0.016
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 5 0.0458 0.88624 0.000 0.000 0.000 0.000 0.984 0.016
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 4 0.4294 0.48621 0.000 0.000 0.000 0.692 0.248 0.060
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.3547 0.42721 0.000 0.668 0.000 0.000 0.000 0.332
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 5 0.0405 0.89021 0.000 0.004 0.000 0.000 0.988 0.008
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 5 0.0363 0.88835 0.000 0.012 0.000 0.000 0.988 0.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 4 0.0000 0.77173 0.000 0.000 0.000 1.000 0.000 0.000
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.3531 0.44948 0.000 0.000 0.672 0.000 0.000 0.328
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 5 0.0146 0.89087 0.000 0.004 0.000 0.000 0.996 0.000
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 5 0.2664 0.74973 0.184 0.000 0.000 0.000 0.816 0.000
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0000 0.95648 0.000 0.000 1.000 0.000 0.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.4530 0.47860 0.356 0.600 0.000 0.000 0.000 0.044
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.2996 0.74923 0.772 0.000 0.000 0.000 0.000 0.228
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 6 0.3868 0.29085 0.000 0.000 0.000 0.496 0.000 0.504
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 6 0.4299 0.66346 0.000 0.092 0.000 0.188 0.000 0.720
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.0260 0.73045 0.992 0.000 0.000 0.000 0.000 0.008
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.5082 0.33268 0.408 0.512 0.000 0.000 0.000 0.080
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 5 0.2135 0.80338 0.000 0.128 0.000 0.000 0.872 0.000
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 1 0.0146 0.73177 0.996 0.000 0.000 0.000 0.000 0.004
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 4 0.5591 0.24815 0.228 0.000 0.000 0.548 0.000 0.224
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 5 0.0260 0.89007 0.000 0.000 0.000 0.000 0.992 0.008
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 5 0.0000 0.89162 0.000 0.000 0.000 0.000 1.000 0.000
#> 1139D935-739E-4C42-BFCB-06021A85932E 5 0.1007 0.87274 0.000 0.044 0.000 0.000 0.956 0.000
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.3101 0.61409 0.000 0.756 0.000 0.000 0.000 0.244
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.0000 0.95648 0.000 0.000 1.000 0.000 0.000 0.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 5 0.5683 0.47226 0.212 0.172 0.000 0.000 0.596 0.020
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 6 0.3629 0.61409 0.000 0.012 0.000 0.276 0.000 0.712
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 1 0.5095 0.41731 0.632 0.048 0.000 0.000 0.284 0.036
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.3854 0.05491 0.000 0.536 0.000 0.000 0.000 0.464
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.0146 0.84926 0.000 0.996 0.000 0.000 0.000 0.004
#> 2846A3AC-D102-4E37-9B72-139ED727157A 5 0.2793 0.72014 0.000 0.200 0.000 0.000 0.800 0.000
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 1 0.4593 0.14901 0.576 0.380 0.000 0.000 0.000 0.044
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 4 0.0260 0.77006 0.000 0.000 0.000 0.992 0.000 0.008
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 4 0.4478 0.54299 0.084 0.000 0.000 0.688 0.000 0.228
#> 150F5B77-4848-4D68-800A-0A0236C3661F 5 0.0717 0.88695 0.000 0.016 0.000 0.000 0.976 0.008
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.2454 0.75785 0.840 0.000 0.000 0.000 0.000 0.160
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.0547 0.84596 0.000 0.980 0.000 0.000 0.000 0.020
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.0146 0.84926 0.000 0.996 0.000 0.000 0.000 0.004
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 4 0.3938 0.58479 0.044 0.000 0.000 0.728 0.000 0.228
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 5 0.0000 0.89162 0.000 0.000 0.000 0.000 1.000 0.000
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.4695 0.26078 0.448 0.508 0.000 0.000 0.000 0.044
#> 1447B543-D3AC-41B5-878F-B382FE49421B 1 0.2996 0.74923 0.772 0.000 0.000 0.000 0.000 0.228
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 1 0.2697 0.65373 0.864 0.092 0.000 0.000 0.000 0.044
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 6 0.5914 0.46063 0.000 0.272 0.000 0.260 0.000 0.468
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.0000 0.95648 0.000 0.000 1.000 0.000 0.000 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 6 0.3371 0.59921 0.000 0.000 0.000 0.292 0.000 0.708
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 5 0.4350 0.17183 0.000 0.004 0.000 0.016 0.552 0.428
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.2996 0.74923 0.772 0.000 0.000 0.000 0.000 0.228
#> D9225689-21E0-478A-8F79-C26542938B8D 5 0.2165 0.81379 0.000 0.108 0.000 0.000 0.884 0.008
#> FC3BA46D-57F6-424C-8D62-16C441035969 5 0.0146 0.89094 0.000 0.000 0.000 0.000 0.996 0.004
#> 045CFFE6-4736-42F2-9340-C37690E47882 3 0.0000 0.95648 0.000 0.000 1.000 0.000 0.000 0.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 5 0.0000 0.89162 0.000 0.000 0.000 0.000 1.000 0.000
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 1 0.5957 0.48568 0.660 0.148 0.000 0.044 0.104 0.044
#> E94B217F-C5DC-4F42-8135-E81F338914B5 6 0.4286 0.57561 0.000 0.060 0.224 0.004 0.000 0.712
#> AE4C3956-76DF-4059-8D69-3D764F31817F 5 0.1333 0.87079 0.000 0.048 0.000 0.000 0.944 0.008
#> 33D6A38E-CD99-437B-99E0-04E72582F777 6 0.3756 0.62074 0.000 0.020 0.000 0.268 0.000 0.712
#> 8379051C-5847-42B5-AC5C-A128C166AB97 6 0.3868 0.29065 0.000 0.000 0.000 0.496 0.000 0.504
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 4 0.3869 -0.30356 0.000 0.000 0.000 0.500 0.000 0.500
#> 40A16429-229E-4F40-BFC7-263554438F99 5 0.0000 0.89162 0.000 0.000 0.000 0.000 1.000 0.000
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 5 0.0260 0.89007 0.000 0.000 0.000 0.000 0.992 0.008
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 6 0.6736 0.44540 0.000 0.016 0.032 0.200 0.276 0.476
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 1 0.5762 0.53175 0.536 0.000 0.004 0.232 0.000 0.228
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 6 0.3867 0.31033 0.000 0.000 0.000 0.488 0.000 0.512
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.3744 0.70264 0.200 0.756 0.000 0.000 0.000 0.044
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 6 0.3866 0.31962 0.000 0.000 0.000 0.484 0.000 0.516
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 6 0.3911 0.51964 0.000 0.008 0.000 0.368 0.000 0.624
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 2 0.2300 0.74367 0.000 0.856 0.000 0.000 0.000 0.144
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.0146 0.84926 0.000 0.996 0.000 0.000 0.000 0.004
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 5 0.1141 0.86766 0.000 0.052 0.000 0.000 0.948 0.000
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 4 0.1910 0.67137 0.000 0.000 0.000 0.892 0.000 0.108
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 1 0.1152 0.71400 0.952 0.004 0.000 0.000 0.000 0.044
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 3 0.5865 0.19913 0.000 0.004 0.500 0.000 0.200 0.296
#> FDB47AC4-CE6A-428B-9B55-EBCEF1970ACB 5 0.0000 0.89162 0.000 0.000 0.000 0.000 1.000 0.000
#> 133B7E7B-FD50-48A2-9A35-E6D44FAB976B 5 0.0000 0.89162 0.000 0.000 0.000 0.000 1.000 0.000
#> E69E45DA-66A6-438A-9BFC-5F1F7F5C5A87 4 0.0000 0.77173 0.000 0.000 0.000 1.000 0.000 0.000
#> 6E242DF5-8B8B-4C6F-870E-C7ADFFAFDF3E 2 0.0363 0.84759 0.000 0.988 0.000 0.000 0.000 0.012
#> CB7BBFF1-4BF3-42A9-85C6-680D91503799 4 0.0000 0.77173 0.000 0.000 0.000 1.000 0.000 0.000
#> 70AA4670-C75B-4E39-8958-3F9C29811871 2 0.3756 0.55028 0.000 0.712 0.000 0.000 0.268 0.020
#> D63C5178-4FF7-4FD0-B87E-6CBF6E7BEF5B 2 0.0146 0.84926 0.000 0.996 0.000 0.000 0.000 0.004
#> 814391F8-C5B9-43F6-A330-A6749BB8F16E 4 0.3802 0.50275 0.000 0.000 0.000 0.748 0.208 0.044
#> 146ED7EA-BF3C-4BAB-B33C-0A668AB13C80 4 0.0000 0.77173 0.000 0.000 0.000 1.000 0.000 0.000
#> FD5CAFE8-E669-406A-A505-A47DCDC32E93 4 0.5022 0.38280 0.000 0.000 0.000 0.640 0.156 0.204
#> 4B3C7910-A652-45B5-8218-9002EB0FD9EB 5 0.0000 0.89162 0.000 0.000 0.000 0.000 1.000 0.000
#> E410F77D-E31F-4D73-ACAC-9245935A92F5 5 0.0000 0.89162 0.000 0.000 0.000 0.000 1.000 0.000
#> 64336403-9037-480C-873A-67BC77119FA5 2 0.4264 0.70577 0.084 0.720 0.000 0.000 0.000 0.196
#> 6F9D5013-3B1B-41EE-85DB-E51F5D828DEF 4 0.0000 0.77173 0.000 0.000 0.000 1.000 0.000 0.000
#> 155AEBBD-1C12-4F88-90C7-1C7FF7E3FB2C 6 0.3371 0.59921 0.000 0.000 0.000 0.292 0.000 0.708
#> D28DDCAA-682C-451F-8327-D2C2AFB044E2 5 0.3899 0.43596 0.000 0.364 0.000 0.000 0.628 0.008
#> 171523DC-2713-4EBF-A115-53A0BA174545 3 0.0000 0.95648 0.000 0.000 1.000 0.000 0.000 0.000
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#> D34036E4-1122-42AE-B20F-F4C8515872A0 5 0.3847 0.49593 0.000 0.348 0.000 0.000 0.644 0.008
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#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 6 0.3868 0.07685 0.000 0.496 0.000 0.000 0.000 0.504
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 4 0.6009 -0.09135 0.344 0.000 0.000 0.412 0.000 0.244
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#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 5 0.1075 0.87032 0.000 0.048 0.000 0.000 0.952 0.000
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 2 0.4281 0.66935 0.220 0.708 0.000 0.000 0.000 0.072
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.4033 0.68059 0.224 0.724 0.000 0.000 0.000 0.052
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 4 0.0000 0.77173 0.000 0.000 0.000 1.000 0.000 0.000
#> 343F031B-0095-429D-8212-AD0581DBB05B 4 0.0000 0.77173 0.000 0.000 0.000 1.000 0.000 0.000
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 5 0.0000 0.89162 0.000 0.000 0.000 0.000 1.000 0.000
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#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 6 0.4282 0.66230 0.000 0.088 0.000 0.192 0.000 0.720
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#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 1 0.0865 0.72329 0.964 0.000 0.000 0.000 0.000 0.036
#> F9F33C38-A087-49FF-B994-3C9EE264F448 1 0.3912 0.49816 0.732 0.224 0.000 0.000 0.000 0.044
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#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.0000 0.95648 0.000 0.000 1.000 0.000 0.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.2996 0.74923 0.772 0.000 0.000 0.000 0.000 0.228
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.0000 0.95648 0.000 0.000 1.000 0.000 0.000 0.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 4 0.1007 0.73882 0.000 0.000 0.000 0.956 0.000 0.044
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.0000 0.95648 0.000 0.000 1.000 0.000 0.000 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.0146 0.84926 0.000 0.996 0.000 0.000 0.000 0.004
#> FC7821F4-6495-4545-A22A-764BB99B3F79 1 0.1152 0.71400 0.952 0.004 0.000 0.000 0.000 0.044
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 5 0.3857 0.15676 0.000 0.468 0.000 0.000 0.532 0.000
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 6 0.5759 0.34365 0.104 0.020 0.000 0.392 0.000 0.484
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 6 0.6290 0.38577 0.000 0.212 0.000 0.020 0.308 0.460
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.0363 0.84727 0.000 0.988 0.000 0.000 0.000 0.012
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 5 0.2793 0.71622 0.200 0.000 0.000 0.000 0.800 0.000
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 4 0.0146 0.76933 0.000 0.000 0.000 0.996 0.000 0.004
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.4254 0.68298 0.216 0.712 0.000 0.000 0.000 0.072
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0000 0.95648 0.000 0.000 1.000 0.000 0.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 5 0.0000 0.89162 0.000 0.000 0.000 0.000 1.000 0.000
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.1141 0.82442 0.000 0.948 0.000 0.000 0.000 0.052
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 4 0.0146 0.77102 0.000 0.000 0.000 0.996 0.000 0.004
#> BEE081CA-8420-4314-88A0-286BB30FFD65 4 0.2996 0.53234 0.000 0.000 0.000 0.772 0.228 0.000
#> C464CD1D-4519-48E8-A18A-403F691E5702 1 0.4252 0.64409 0.724 0.000 0.000 0.000 0.188 0.088
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.2996 0.74923 0.772 0.000 0.000 0.000 0.000 0.228
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 5 0.0260 0.89007 0.000 0.000 0.000 0.000 0.992 0.008
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0000 0.84900 0.000 1.000 0.000 0.000 0.000 0.000
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.5535 0.46246 0.532 0.000 0.308 0.000 0.000 0.160
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.1714 0.75476 0.908 0.000 0.000 0.000 0.000 0.092
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 17109 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 0.726 0.889 0.952 0.4888 0.507 0.507
#> 3 3 0.927 0.916 0.969 0.1662 0.909 0.823
#> 4 4 0.603 0.698 0.842 0.1721 0.842 0.661
#> 5 5 0.700 0.609 0.803 0.1061 0.818 0.530
#> 6 6 0.676 0.701 0.832 0.0405 0.948 0.802
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
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 1 0.3733 0.9009 0.928 0.072
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 2 0.9087 0.4946 0.324 0.676
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 2 0.0000 0.9572 0.000 1.000
#> 91202998-760F-4421-B1C4-18639962EDDA 1 0.0000 0.9351 1.000 0.000
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.0000 0.9572 0.000 1.000
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 2 0.0000 0.9572 0.000 1.000
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 1 0.5629 0.8593 0.868 0.132
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.0000 0.9572 0.000 1.000
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.0000 0.9572 0.000 1.000
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.0000 0.9572 0.000 1.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 1 0.5294 0.8685 0.880 0.120
#> 784B2359-6064-4FAA-9311-7A852F061FBB 2 0.0000 0.9572 0.000 1.000
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 2 0.0000 0.9572 0.000 1.000
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 1 0.8144 0.6719 0.748 0.252
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 1 0.1414 0.9263 0.980 0.020
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.7528 0.7037 0.216 0.784
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.0000 0.9351 1.000 0.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 2 0.9866 0.2037 0.432 0.568
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 2 0.0000 0.9572 0.000 1.000
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.0000 0.9351 1.000 0.000
#> D7A50E95-777C-47A6-8F93-031CB4770633 1 0.4431 0.8883 0.908 0.092
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.0000 0.9572 0.000 1.000
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 1 0.9580 0.4109 0.620 0.380
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 1 0.0938 0.9306 0.988 0.012
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.0000 0.9572 0.000 1.000
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 2 0.0000 0.9572 0.000 1.000
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.0000 0.9572 0.000 1.000
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.0000 0.9572 0.000 1.000
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 2 0.9732 0.3004 0.404 0.596
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.0000 0.9572 0.000 1.000
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 2 0.0000 0.9572 0.000 1.000
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 1 0.8909 0.6137 0.692 0.308
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.0000 0.9572 0.000 1.000
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.0000 0.9572 0.000 1.000
#> 2846A3AC-D102-4E37-9B72-139ED727157A 2 0.0000 0.9572 0.000 1.000
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 1 0.5629 0.8593 0.868 0.132
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 1 0.0000 0.9351 1.000 0.000
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.0000 0.9351 1.000 0.000
#> 150F5B77-4848-4D68-800A-0A0236C3661F 2 0.0000 0.9572 0.000 1.000
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.0000 0.9351 1.000 0.000
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.0000 0.9572 0.000 1.000
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.0000 0.9572 0.000 1.000
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 1 0.0000 0.9351 1.000 0.000
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 2 0.0000 0.9572 0.000 1.000
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.1843 0.9330 0.028 0.972
#> 1447B543-D3AC-41B5-878F-B382FE49421B 1 0.0000 0.9351 1.000 0.000
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 1 0.0000 0.9351 1.000 0.000
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 1 0.5629 0.8593 0.868 0.132
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 1 0.9358 0.4761 0.648 0.352
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 2 0.0000 0.9572 0.000 1.000
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 2 0.0000 0.9572 0.000 1.000
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.0000 0.9351 1.000 0.000
#> D9225689-21E0-478A-8F79-C26542938B8D 2 0.0000 0.9572 0.000 1.000
#> FC3BA46D-57F6-424C-8D62-16C441035969 2 0.0000 0.9572 0.000 1.000
#> 045CFFE6-4736-42F2-9340-C37690E47882 2 0.4815 0.8569 0.104 0.896
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 1 0.3431 0.9052 0.936 0.064
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 2 0.5294 0.8461 0.120 0.880
#> E94B217F-C5DC-4F42-8135-E81F338914B5 2 0.0000 0.9572 0.000 1.000
#> AE4C3956-76DF-4059-8D69-3D764F31817F 2 0.0000 0.9572 0.000 1.000
#> 33D6A38E-CD99-437B-99E0-04E72582F777 2 0.5408 0.8337 0.124 0.876
#> 8379051C-5847-42B5-AC5C-A128C166AB97 1 0.5629 0.8593 0.868 0.132
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 1 0.5629 0.8593 0.868 0.132
#> 40A16429-229E-4F40-BFC7-263554438F99 2 0.0000 0.9572 0.000 1.000
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 2 0.0000 0.9572 0.000 1.000
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 2 0.0000 0.9572 0.000 1.000
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 1 0.0000 0.9351 1.000 0.000
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 1 0.5629 0.8593 0.868 0.132
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.0000 0.9572 0.000 1.000
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 1 0.5629 0.8593 0.868 0.132
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 2 0.0376 0.9541 0.004 0.996
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 2 0.0000 0.9572 0.000 1.000
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.0000 0.9572 0.000 1.000
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 2 0.0000 0.9572 0.000 1.000
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 1 0.5629 0.8593 0.868 0.132
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 1 0.1843 0.9240 0.972 0.028
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 2 0.0000 0.9572 0.000 1.000
#> FDB47AC4-CE6A-428B-9B55-EBCEF1970ACB 2 0.0000 0.9572 0.000 1.000
#> 133B7E7B-FD50-48A2-9A35-E6D44FAB976B 2 0.0000 0.9572 0.000 1.000
#> E69E45DA-66A6-438A-9BFC-5F1F7F5C5A87 2 0.9933 0.1074 0.452 0.548
#> 6E242DF5-8B8B-4C6F-870E-C7ADFFAFDF3E 2 0.0000 0.9572 0.000 1.000
#> CB7BBFF1-4BF3-42A9-85C6-680D91503799 1 0.1843 0.9241 0.972 0.028
#> 70AA4670-C75B-4E39-8958-3F9C29811871 2 0.0000 0.9572 0.000 1.000
#> D63C5178-4FF7-4FD0-B87E-6CBF6E7BEF5B 2 0.0000 0.9572 0.000 1.000
#> 814391F8-C5B9-43F6-A330-A6749BB8F16E 2 0.0000 0.9572 0.000 1.000
#> 146ED7EA-BF3C-4BAB-B33C-0A668AB13C80 1 0.5629 0.8593 0.868 0.132
#> FD5CAFE8-E669-406A-A505-A47DCDC32E93 2 0.0000 0.9572 0.000 1.000
#> 4B3C7910-A652-45B5-8218-9002EB0FD9EB 2 0.0000 0.9572 0.000 1.000
#> E410F77D-E31F-4D73-ACAC-9245935A92F5 1 0.0000 0.9351 1.000 0.000
#> 64336403-9037-480C-873A-67BC77119FA5 2 0.0000 0.9572 0.000 1.000
#> 6F9D5013-3B1B-41EE-85DB-E51F5D828DEF 1 0.7528 0.7625 0.784 0.216
#> 155AEBBD-1C12-4F88-90C7-1C7FF7E3FB2C 2 0.0000 0.9572 0.000 1.000
#> D28DDCAA-682C-451F-8327-D2C2AFB044E2 2 0.0000 0.9572 0.000 1.000
#> 171523DC-2713-4EBF-A115-53A0BA174545 2 0.2948 0.9118 0.052 0.948
#> FD223304-87BA-4462-A5E5-01AB8C018C35 1 0.0000 0.9351 1.000 0.000
#> D8E06D8A-9063-4466-A3B0-7724F4737C7A 2 0.9209 0.4664 0.336 0.664
#> FFA5FFF7-6301-4CD8-8E63-A4D8294D1B0E 2 0.0000 0.9572 0.000 1.000
#> AF3648D6-C774-48CC-9428-ADC00402A562 2 0.7883 0.6736 0.236 0.764
#> BD406B65-B715-444E-95B4-F38D05BAC863 1 0.5946 0.8482 0.856 0.144
#> 6DB67CA1-0BEB-4585-9867-40E7C8A96D55 2 0.0000 0.9572 0.000 1.000
#> 49C9DE1D-784D-405A-9DD3-C4D2890D0309 1 0.0000 0.9351 1.000 0.000
#> 05EC4D30-D34E-4497-B4F4-80AEDC2E70DF 1 0.0000 0.9351 1.000 0.000
#> CB69E76B-7CD3-49EF-9ADF-75701FE1D0A8 1 0.4939 0.8771 0.892 0.108
#> 103C6E25-A69A-460E-81C0-7437547E1334 2 0.0000 0.9572 0.000 1.000
#> 2D986DB0-B5A8-42E8-ACB8-926A16FAABD6 2 0.0000 0.9572 0.000 1.000
#> 1B9A0F24-8A3F-4693-B09C-5F0EFE5A32A5 1 0.9998 0.0292 0.508 0.492
#> C064D1FE-753E-4493-907C-C5FFE19F9875 2 0.0000 0.9572 0.000 1.000
#> 71596860-AEFA-4B94-8ADE-AC33CEA24DD4 2 0.0000 0.9572 0.000 1.000
#> E9A3A454-AB4D-4683-B276-84DA43792DBB 1 0.0000 0.9351 1.000 0.000
#> C5717869-8413-4810-A042-32E949AD3B0A 1 0.5629 0.8593 0.868 0.132
#> F36B393E-859C-49F8-BDF4-ED2CEF4C6307 1 0.5629 0.8593 0.868 0.132
#> 4CC9D3F9-983F-4CB2-91F1-0FBB86D53DC3 2 0.9881 0.1842 0.436 0.564
#> D450F074-CA68-49CE-B0B3-F81A91D54867 1 0.8861 0.6213 0.696 0.304
#> 2BBD504E-FE90-4142-9204-0E33B6B56C7E 2 0.0000 0.9572 0.000 1.000
#> 1A457CBF-24DA-44F1-B9ED-F26B8D1245D4 2 0.3274 0.9038 0.060 0.940
#> F29B5A39-866E-4C9D-BC26-B726FEA5F576 1 0.0000 0.9351 1.000 0.000
#> 89A4972A-8C91-4272-96BE-BCA9BC447780 2 0.0000 0.9572 0.000 1.000
#> 70B014FD-A0D0-418C-B55F-D09BAE213D52 2 0.0000 0.9572 0.000 1.000
#> 8139F417-0548-40B4-851F-A4E149A2E06A 1 0.0000 0.9351 1.000 0.000
#> 6E9F0021-FA91-4516-9B04-6A978034CECF 1 0.0000 0.9351 1.000 0.000
#> 49DAF1CD-8E20-433B-91A7-8C885ACB21A5 2 0.9795 0.2441 0.416 0.584
#> 093765A6-145C-47C3-B87B-4560CD632B4C 2 0.0000 0.9572 0.000 1.000
#> 90731001-45B2-4601-93F5-064BDD519A30 1 0.0000 0.9351 1.000 0.000
#> 40BCB65D-BC26-4FEF-941F-6F4A42D475EB 2 0.0000 0.9572 0.000 1.000
#> 204317C4-B927-4CAC-AADF-E16D19410ADB 2 0.0000 0.9572 0.000 1.000
#> 1023707A-D6DE-432A-AD2D-2318C3F91FA2 2 0.0000 0.9572 0.000 1.000
#> 06F79E8E-50E3-485A-82E9-C7CD4C72333B 2 0.0000 0.9572 0.000 1.000
#> BFAF5464-D239-4A03-AC34-984DEBA84451 2 0.0000 0.9572 0.000 1.000
#> 96C7C73E-F3E1-4937-A267-B7DAAD8EDE37 2 0.0376 0.9541 0.004 0.996
#> 1D94B33B-9A3F-40BA-90AF-5248ED058C6F 2 0.9552 0.3638 0.376 0.624
#> 3407B68D-0277-465B-8819-10FAE3EE6572 1 0.0000 0.9351 1.000 0.000
#> 868CD0D0-1CB4-4F61-B4ED-EB0C93DD950F 2 0.0000 0.9572 0.000 1.000
#> 823383C2-6F4D-4C0C-8640-3981A7ED1226 1 0.0000 0.9351 1.000 0.000
#> 95B76301-6382-4F6E-9E09-60EEFEEA03D5 2 0.0000 0.9572 0.000 1.000
#> 50A46A4F-883E-4DAA-BD16-FCCC5FA3FCD9 2 0.0000 0.9572 0.000 1.000
#> 5037DC80-5E81-4281-89A0-E0B58071B1D9 1 0.0000 0.9351 1.000 0.000
#> 6A228156-7365-4A4D-8E66-AA687BF37A24 1 0.0000 0.9351 1.000 0.000
#> 868C82CD-CB45-4EC9-96A8-77F0F4E0D874 2 0.0376 0.9540 0.004 0.996
#> 28F5861F-7081-4CE8-A917-941FCB6206FA 2 0.0000 0.9572 0.000 1.000
#> 1ED41271-3AA4-43F1-B43C-0D5C4F918FB8 2 0.5737 0.8191 0.136 0.864
#> 5A879DD8-EB7F-4EB6-9A9A-6D62438D8B95 2 0.0000 0.9572 0.000 1.000
#> 8B55B4E4-9222-4F69-AD4A-A92AC948F05E 2 0.0000 0.9572 0.000 1.000
#> 1DCE9448-495E-46D3-8953-D733BD68DFE6 2 0.0000 0.9572 0.000 1.000
#> C922BF2A-2A98-47CC-9127-1C1A2E38A6B6 1 0.0000 0.9351 1.000 0.000
#> 3C14A318-E9ED-4383-9F57-E227D478B450 1 0.0000 0.9351 1.000 0.000
#> 183B0920-7505-4B65-A940-97021F11DDC1 1 0.0000 0.9351 1.000 0.000
#> CF8B38D4-717B-4F8A-8DA4-8B721E6DFB1C 2 0.0000 0.9572 0.000 1.000
#> 0C7BEFDE-507E-43B2-938D-5695FE462875 1 0.1633 0.9254 0.976 0.024
#> 940D45CC-1300-4E92-A79A-6EDC8118E9E2 1 0.0000 0.9351 1.000 0.000
#> 772D02BF-D8A6-4C99-8C82-5902DEB3A067 2 0.0000 0.9572 0.000 1.000
#> F5D71464-EFD6-4922-9BC9-2620A90DA6F4 2 0.0000 0.9572 0.000 1.000
#> 7C8BDCBF-68D3-4E03-B2D3-31D12CE2784D 2 0.0000 0.9572 0.000 1.000
#> 9DF2F46F-A133-4892-B895-3102F7ACA5DB 2 0.0000 0.9572 0.000 1.000
#> 8A7A65FE-1A7E-42E5-8A5A-55E7733521DA 2 0.0000 0.9572 0.000 1.000
#> 40566B4F-12CE-4FB2-9A64-4C59EC0793F2 1 0.0000 0.9351 1.000 0.000
#> 8E29A6F7-77BC-44EF-AB26-10FCA1187FFF 1 0.4815 0.8799 0.896 0.104
#> A358DF66-5BAE-42C2-8516-224E7CC40ED5 2 0.0000 0.9572 0.000 1.000
#> EB60E3E6-67CA-42E2-8D30-DAFFD763880B 2 0.0000 0.9572 0.000 1.000
#> 904813F9-5366-47D5-812A-6C4C8E7703C2 2 0.1414 0.9412 0.020 0.980
#> F192059C-1945-4C20-8076-2B0D1EDFE659 2 0.0000 0.9572 0.000 1.000
#> 2C19B0A6-347F-4BD4-8ECE-6AFDA076F63D 2 0.3114 0.9078 0.056 0.944
#> 20632EF0-B3E3-4CCF-BD24-D7E75FC20C33 1 0.0000 0.9351 1.000 0.000
#> E1006117-1BD4-478D-94A5-E0FA9D1D94E0 2 0.6531 0.7797 0.168 0.832
#> C25909B0-C3F8-42F5-BE45-898F113761F7 2 0.0672 0.9510 0.008 0.992
#> 7B810A7A-8194-4202-915F-F9CB94C9B75E 1 0.0000 0.9351 1.000 0.000
#> 5047C380-5D35-422E-9C5B-918538391FB7 2 0.0672 0.9510 0.008 0.992
#> 3DFA6DEA-8198-476C-8D85-D8AD90B494AE 2 0.0000 0.9572 0.000 1.000
#> AC59154D-D1A6-40DA-9D4A-5D8A9A522A22 2 0.0000 0.9572 0.000 1.000
#> 1507E508-70CA-45FC-A377-3D2B9E263E19 2 0.0000 0.9572 0.000 1.000
#> AD2A9359-D663-4677-849E-78E8B6F9BA5C 2 0.0000 0.9572 0.000 1.000
#> C54DEBF2-3F5F-430C-BC8B-45452F64929F 2 0.0000 0.9572 0.000 1.000
#> EA99125D-7874-4488-BEA6-FECB08463361 1 0.0000 0.9351 1.000 0.000
#> C6CF06D8-E816-401C-A8E4-0593780D32D6 1 0.0000 0.9351 1.000 0.000
#> 823BC0E7-26C1-487F-845E-CFF34D68A83A 2 0.9775 0.2680 0.412 0.588
#> 26E81097-F3EB-433C-9C95-073FF991C628 1 0.0000 0.9351 1.000 0.000
#> 3CA00D1A-AC31-491E-AA4D-EBA7F8A55718 1 0.0000 0.9351 1.000 0.000
#> 98C89F70-92DF-469A-A8DF-E96838B61A76 2 0.0000 0.9572 0.000 1.000
#> 38042F67-0EAC-46EA-B4B0-4A0560DF3E87 1 0.1414 0.9263 0.980 0.020
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#> 73B58A54-E759-44FE-8B84-70D60C78066D 1 0.0000 0.9351 1.000 0.000
#> 4001EE2D-F208-465E-B718-01CCB9BD1C17 2 0.5629 0.8328 0.132 0.868
#> AFE61E30-D425-40CC-BC57-C210A0D03EFE 1 0.0000 0.9351 1.000 0.000
#> C06D79D5-4D8A-47D3-97CE-0E9BA204347C 2 0.0000 0.9572 0.000 1.000
#> 3975BE32-7E20-4EFC-9122-FE468544C5D9 1 0.5737 0.8562 0.864 0.136
#> 0FDC5030-92FC-44B5-AE62-6EC3EA9290BB 1 0.0000 0.9351 1.000 0.000
#> 8E3F8687-B00B-4FA9-84F2-F731B169FC45 2 0.0000 0.9572 0.000 1.000
#> 45CEDF59-BC7A-4D86-8C2D-9A91AC141D30 1 0.0000 0.9351 1.000 0.000
#> 4043BFE7-72A7-4A95-8CB2-53FDD574B7EA 1 0.5629 0.8593 0.868 0.132
#> 64D465E7-0DB8-46A1-8BF2-BBF59D23B7EB 2 0.0000 0.9572 0.000 1.000
#> 9824DFB4-0A1A-4BA4-B2DC-5348DA3D3AE6 1 0.5519 0.8625 0.872 0.128
#> 50ECFB2A-FF9D-4A8A-91CB-3902D3B670A0 1 0.1843 0.9246 0.972 0.028
#> 755D805B-B9F4-41D3-ACA7-2BB599C3D529 2 0.0000 0.9572 0.000 1.000
#> 0BA34100-8588-47B5-A962-4BD1916645B6 1 0.0000 0.9351 1.000 0.000
#> 9CE2E8D4-1AD1-4546-AD5D-D58193F79096 1 0.0000 0.9351 1.000 0.000
#> 92D7DB12-B0E0-4072-98FB-34B112E7728D 1 0.7376 0.7417 0.792 0.208
#> 79FD2101-0A9A-4EA7-A773-5EA8693138D0 2 0.0000 0.9572 0.000 1.000
#> A3A8937A-0B0B-4A68-AE68-81DA9CF7F4FB 1 0.0000 0.9351 1.000 0.000
#> 3EB3C0F8-4CBC-41A7-81E4-4D8A565441A7 1 0.5629 0.8593 0.868 0.132
#> 77EE3B54-FD7A-4ACF-879C-31667ADCCC5B 2 0.0000 0.9572 0.000 1.000
#> 327B2123-6DD8-4263-87DE-EE917E911DD4 1 0.5629 0.8593 0.868 0.132
#> 198A6AD0-79CD-40F5-A622-18AFBE78F2D2 1 0.0000 0.9351 1.000 0.000
#> EEE29DE1-F88C-4184-B499-5E86E2D252C4 1 0.0000 0.9351 1.000 0.000
#> 1E95EA22-BC41-4AAE-AFCC-F9281989A785 1 0.0000 0.9351 1.000 0.000
#> CD3AC0E4-88A9-4084-A2BE-AEE722CF6AA3 1 0.0672 0.9319 0.992 0.008
#> 8D7FABA2-764D-4795-BB04-D9E69E9792B9 1 0.0000 0.9351 1.000 0.000
#> DAC07889-EE06-46E0-B1F1-833ECC0A48A9 2 0.0000 0.9572 0.000 1.000
#> E7B555A3-567B-4A44-8225-D269E73FB50B 2 0.0000 0.9572 0.000 1.000
#> 3CC95101-C35F-4761-9D41-3C35BD55B37E 2 0.0000 0.9572 0.000 1.000
#> F62E5A69-5E81-4B2A-8CC0-F4D6E188B187 1 0.0000 0.9351 1.000 0.000
#> C650633B-A369-4657-8693-FDFBF22BD34E 2 1.0000 -0.0292 0.496 0.504
#> 5E514217-F0DB-49FD-9C5D-EB22628ED297 2 0.0000 0.9572 0.000 1.000
#> 6E1DB9BF-06FE-48B1-A2D8-EF2CE7591364 2 0.8555 0.5890 0.280 0.720
#> C9581CE3-58B6-45B4-B4B7-15F555FD84A4 1 0.0000 0.9351 1.000 0.000
#> F56C26ED-9358-485B-8867-EBA1CAA4E2A7 2 0.0000 0.9572 0.000 1.000
#> 45CA3F9E-40EE-43A4-AE57-FE51D4003844 2 0.0000 0.9572 0.000 1.000
#> 47EFA063-19C1-4E1F-ACE8-68D9BAD0B995 1 0.0000 0.9351 1.000 0.000
#> 8C30EA0F-0DA1-43C7-81AE-DE825A53F114 1 1.0000 0.0743 0.500 0.500
#> 2CE7477C-DD09-4B3A-AD65-C696BE8C9B11 1 0.0000 0.9351 1.000 0.000
#> 4DECB19A-290F-4CEB-BE25-AAF9B9E2B58F 1 0.0000 0.9351 1.000 0.000
#> 3DEA9B14-DF42-43A0-AC4A-32AE7A16218D 2 0.0000 0.9572 0.000 1.000
#> 9F57D45B-C62F-44C5-AB9D-0CB54BBA16F5 2 0.0000 0.9572 0.000 1.000
#> 54ACCFD9-A8D6-4E4C-9097-1A0BE258AA1B 1 0.0000 0.9351 1.000 0.000
#> 9EE67DE9-9B56-4773-8F6A-1036D31F568E 1 0.9996 0.1192 0.512 0.488
#> 1B1C9301-D6D6-4F6B-80A3-3603013AA951 2 0.0000 0.9572 0.000 1.000
#> DDDCDF00-FB0A-477B-891B-2EE5E0C8F61E 2 0.0000 0.9572 0.000 1.000
#> 34A3260D-AC4D-416F-ADF0-24013048BC46 1 0.4562 0.8865 0.904 0.096
#> 671C1840-9C1B-4AC1-9564-78802489F763 1 0.0000 0.9351 1.000 0.000
#> BA4F7841-9FC3-4CE6-ACA5-43FC36641640 2 0.0000 0.9572 0.000 1.000
#> 24A02CE5-28E7-457E-8B90-4EACA528B072 1 0.0000 0.9351 1.000 0.000
#> C7008665-F6DE-48B4-A0E7-6C388B72C609 2 0.0000 0.9572 0.000 1.000
#> 50F984AB-95C1-4D7B-A787-418CBB59D165 1 0.2236 0.9200 0.964 0.036
#> 5FFD2A6A-ED8A-44A9-9FC1-3106341C284A 2 0.0000 0.9572 0.000 1.000
#> 7481630E-5CBA-4A4A-A16F-E327BCEE11D3 1 0.0000 0.9351 1.000 0.000
#> 7B3E6643-C148-4266-A3A3-80BAB713DD3E 2 0.0000 0.9572 0.000 1.000
#> BA8564FA-8D4D-4B2F-A178-63209F887A05 1 0.4690 0.8697 0.900 0.100
#> 2FB578F6-E8B7-434D-9720-D448A26C1EFD 1 0.0000 0.9351 1.000 0.000
#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 2 0.5629 0.8238 0.132 0.868
#> 740FCE46-8A4A-4A6A-B79F-78A63D28E313 2 0.0000 0.9572 0.000 1.000
#> 523A5832-0C42-44A4-A58F-7011C3A567DC 2 0.9977 0.0544 0.472 0.528
#> A2C68C81-7371-4E0C-BFD1-EA868A7C9499 2 0.0000 0.9572 0.000 1.000
#> 2EB7025A-D932-4238-BD60-609B25150029 2 0.0000 0.9572 0.000 1.000
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 2 0.0000 0.9572 0.000 1.000
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 2 0.6712 0.7709 0.176 0.824
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 2 0.0000 0.9572 0.000 1.000
#> F081EA01-ED14-491B-9620-BF8F10A7431D 2 0.0000 0.9572 0.000 1.000
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 2 0.0000 0.9572 0.000 1.000
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 2 0.0000 0.9572 0.000 1.000
#> B54639CE-F721-4908-B758-309F148AD3C2 2 0.0000 0.9572 0.000 1.000
#> EB4294E1-3FBC-495C-A041-829A654B59C5 1 0.0000 0.9351 1.000 0.000
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 1 0.0000 0.9351 1.000 0.000
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.0000 0.9572 0.000 1.000
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 1 0.0000 0.9351 1.000 0.000
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.0000 0.9572 0.000 1.000
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 1 0.0000 0.9351 1.000 0.000
#> D34036E4-1122-42AE-B20F-F4C8515872A0 2 0.0000 0.9572 0.000 1.000
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 2 0.0000 0.9572 0.000 1.000
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 1 0.0000 0.9351 1.000 0.000
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 2 0.0000 0.9572 0.000 1.000
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.0000 0.9572 0.000 1.000
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.0000 0.9572 0.000 1.000
#> F3C13430-405E-432E-8F3E-0DD18E86087E 2 0.4161 0.8810 0.084 0.916
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.0000 0.9572 0.000 1.000
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 1 0.0000 0.9351 1.000 0.000
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.0000 0.9572 0.000 1.000
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.0000 0.9572 0.000 1.000
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 1 0.7745 0.7061 0.772 0.228
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.0000 0.9572 0.000 1.000
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.0000 0.9351 1.000 0.000
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 1 0.3584 0.9028 0.932 0.068
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 1 0.0000 0.9351 1.000 0.000
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.0000 0.9572 0.000 1.000
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 2 0.9850 0.2281 0.428 0.572
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 1 0.0000 0.9351 1.000 0.000
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 2 0.0000 0.9572 0.000 1.000
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 1 0.6438 0.8271 0.836 0.164
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.9881 0.1741 0.436 0.564
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 1 0.5629 0.8593 0.868 0.132
#> 343F031B-0095-429D-8212-AD0581DBB05B 1 0.4815 0.8799 0.896 0.104
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 2 0.0000 0.9572 0.000 1.000
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.0000 0.9351 1.000 0.000
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 2 0.0000 0.9572 0.000 1.000
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 2 0.0000 0.9572 0.000 1.000
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 1 0.0000 0.9351 1.000 0.000
#> F9F33C38-A087-49FF-B994-3C9EE264F448 1 0.0000 0.9351 1.000 0.000
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.0000 0.9572 0.000 1.000
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.0000 0.9572 0.000 1.000
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 2 0.0000 0.9572 0.000 1.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.0000 0.9351 1.000 0.000
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 2 0.0000 0.9572 0.000 1.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 1 0.6801 0.8095 0.820 0.180
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 1 0.0000 0.9351 1.000 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.0000 0.9572 0.000 1.000
#> FC7821F4-6495-4545-A22A-764BB99B3F79 2 0.8661 0.6077 0.288 0.712
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.0000 0.9572 0.000 1.000
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.0000 0.9572 0.000 1.000
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.0000 0.9572 0.000 1.000
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.0000 0.9572 0.000 1.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 1 0.0000 0.9351 1.000 0.000
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 1 0.5629 0.8593 0.868 0.132
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.0000 0.9572 0.000 1.000
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 2 0.0000 0.9572 0.000 1.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 1 0.4815 0.8799 0.896 0.104
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.5629 0.8203 0.132 0.868
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 1 0.0000 0.9351 1.000 0.000
#> BEE081CA-8420-4314-88A0-286BB30FFD65 1 0.6048 0.8441 0.852 0.148
#> C464CD1D-4519-48E8-A18A-403F691E5702 1 0.2603 0.9112 0.956 0.044
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.0000 0.9351 1.000 0.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.0000 0.9572 0.000 1.000
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0000 0.9572 0.000 1.000
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.0000 0.9351 1.000 0.000
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.0000 0.9351 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 1 0.0747 0.9452 0.984 0.016 0.000
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 2 0.5968 0.4238 0.364 0.636 0.000
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 2 0.0000 0.9615 0.000 1.000 0.000
#> 91202998-760F-4421-B1C4-18639962EDDA 1 0.0000 0.9534 1.000 0.000 0.000
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.0000 0.9615 0.000 1.000 0.000
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 2 0.0000 0.9615 0.000 1.000 0.000
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 1 0.0747 0.9452 0.984 0.016 0.000
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.0000 0.9615 0.000 1.000 0.000
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.0000 0.9615 0.000 1.000 0.000
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.0000 0.9615 0.000 1.000 0.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 1 0.0592 0.9476 0.988 0.012 0.000
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.0000 0.9892 0.000 0.000 1.000
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 2 0.0000 0.9615 0.000 1.000 0.000
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 1 0.5397 0.5816 0.720 0.280 0.000
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0000 0.9892 0.000 0.000 1.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.4796 0.6855 0.220 0.780 0.000
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.0000 0.9534 1.000 0.000 0.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 2 0.6305 0.0645 0.484 0.516 0.000
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 2 0.0000 0.9615 0.000 1.000 0.000
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.0000 0.9534 1.000 0.000 0.000
#> D7A50E95-777C-47A6-8F93-031CB4770633 1 0.0747 0.9452 0.984 0.016 0.000
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.0000 0.9615 0.000 1.000 0.000
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 1 0.6280 0.1647 0.540 0.460 0.000
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 1 0.0000 0.9534 1.000 0.000 0.000
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.0000 0.9615 0.000 1.000 0.000
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 2 0.0000 0.9615 0.000 1.000 0.000
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.0000 0.9615 0.000 1.000 0.000
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.0000 0.9615 0.000 1.000 0.000
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.0000 0.9892 0.000 0.000 1.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.0000 0.9615 0.000 1.000 0.000
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 2 0.0000 0.9615 0.000 1.000 0.000
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 1 0.4750 0.6884 0.784 0.216 0.000
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.0000 0.9615 0.000 1.000 0.000
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.0000 0.9615 0.000 1.000 0.000
#> 2846A3AC-D102-4E37-9B72-139ED727157A 2 0.0000 0.9615 0.000 1.000 0.000
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 1 0.0747 0.9452 0.984 0.016 0.000
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 1 0.0000 0.9534 1.000 0.000 0.000
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.0000 0.9534 1.000 0.000 0.000
#> 150F5B77-4848-4D68-800A-0A0236C3661F 2 0.0000 0.9615 0.000 1.000 0.000
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.0000 0.9534 1.000 0.000 0.000
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.0000 0.9615 0.000 1.000 0.000
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.0000 0.9615 0.000 1.000 0.000
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 1 0.0000 0.9534 1.000 0.000 0.000
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 2 0.0000 0.9615 0.000 1.000 0.000
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.0000 0.9615 0.000 1.000 0.000
#> 1447B543-D3AC-41B5-878F-B382FE49421B 1 0.0000 0.9534 1.000 0.000 0.000
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 1 0.0000 0.9534 1.000 0.000 0.000
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 1 0.0747 0.9452 0.984 0.016 0.000
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.0000 0.9892 0.000 0.000 1.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 2 0.0000 0.9615 0.000 1.000 0.000
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#> 47EFA063-19C1-4E1F-ACE8-68D9BAD0B995 1 0.0000 0.9534 1.000 0.000 0.000
#> 8C30EA0F-0DA1-43C7-81AE-DE825A53F114 1 0.6192 0.2933 0.580 0.420 0.000
#> 2CE7477C-DD09-4B3A-AD65-C696BE8C9B11 1 0.0000 0.9534 1.000 0.000 0.000
#> 4DECB19A-290F-4CEB-BE25-AAF9B9E2B58F 1 0.0000 0.9534 1.000 0.000 0.000
#> 3DEA9B14-DF42-43A0-AC4A-32AE7A16218D 2 0.0000 0.9615 0.000 1.000 0.000
#> 9F57D45B-C62F-44C5-AB9D-0CB54BBA16F5 2 0.0000 0.9615 0.000 1.000 0.000
#> 54ACCFD9-A8D6-4E4C-9097-1A0BE258AA1B 1 0.0000 0.9534 1.000 0.000 0.000
#> 9EE67DE9-9B56-4773-8F6A-1036D31F568E 1 0.6274 0.1657 0.544 0.456 0.000
#> 1B1C9301-D6D6-4F6B-80A3-3603013AA951 2 0.0000 0.9615 0.000 1.000 0.000
#> DDDCDF00-FB0A-477B-891B-2EE5E0C8F61E 3 0.0000 0.9892 0.000 0.000 1.000
#> 34A3260D-AC4D-416F-ADF0-24013048BC46 1 0.0747 0.9451 0.984 0.016 0.000
#> 671C1840-9C1B-4AC1-9564-78802489F763 1 0.0000 0.9534 1.000 0.000 0.000
#> BA4F7841-9FC3-4CE6-ACA5-43FC36641640 2 0.0000 0.9615 0.000 1.000 0.000
#> 24A02CE5-28E7-457E-8B90-4EACA528B072 1 0.0000 0.9534 1.000 0.000 0.000
#> C7008665-F6DE-48B4-A0E7-6C388B72C609 2 0.0000 0.9615 0.000 1.000 0.000
#> 50F984AB-95C1-4D7B-A787-418CBB59D165 1 0.0424 0.9497 0.992 0.008 0.000
#> 5FFD2A6A-ED8A-44A9-9FC1-3106341C284A 2 0.0000 0.9615 0.000 1.000 0.000
#> 7481630E-5CBA-4A4A-A16F-E327BCEE11D3 1 0.0000 0.9534 1.000 0.000 0.000
#> 7B3E6643-C148-4266-A3A3-80BAB713DD3E 2 0.0000 0.9615 0.000 1.000 0.000
#> BA8564FA-8D4D-4B2F-A178-63209F887A05 1 0.7232 0.6234 0.712 0.116 0.172
#> 2FB578F6-E8B7-434D-9720-D448A26C1EFD 1 0.0000 0.9534 1.000 0.000 0.000
#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 2 0.0747 0.9456 0.016 0.984 0.000
#> 740FCE46-8A4A-4A6A-B79F-78A63D28E313 2 0.0000 0.9615 0.000 1.000 0.000
#> 523A5832-0C42-44A4-A58F-7011C3A567DC 3 0.0000 0.9892 0.000 0.000 1.000
#> A2C68C81-7371-4E0C-BFD1-EA868A7C9499 2 0.0000 0.9615 0.000 1.000 0.000
#> 2EB7025A-D932-4238-BD60-609B25150029 2 0.0000 0.9615 0.000 1.000 0.000
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 2 0.0000 0.9615 0.000 1.000 0.000
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 2 0.4452 0.7377 0.192 0.808 0.000
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 2 0.0000 0.9615 0.000 1.000 0.000
#> F081EA01-ED14-491B-9620-BF8F10A7431D 2 0.0000 0.9615 0.000 1.000 0.000
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 2 0.0000 0.9615 0.000 1.000 0.000
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 2 0.0000 0.9615 0.000 1.000 0.000
#> B54639CE-F721-4908-B758-309F148AD3C2 2 0.0000 0.9615 0.000 1.000 0.000
#> EB4294E1-3FBC-495C-A041-829A654B59C5 3 0.0000 0.9892 0.000 0.000 1.000
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 1 0.0000 0.9534 1.000 0.000 0.000
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.0000 0.9615 0.000 1.000 0.000
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 1 0.0000 0.9534 1.000 0.000 0.000
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.0000 0.9615 0.000 1.000 0.000
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 1 0.0000 0.9534 1.000 0.000 0.000
#> D34036E4-1122-42AE-B20F-F4C8515872A0 2 0.0000 0.9615 0.000 1.000 0.000
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 2 0.0000 0.9615 0.000 1.000 0.000
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 1 0.0000 0.9534 1.000 0.000 0.000
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 3 0.0000 0.9892 0.000 0.000 1.000
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.0000 0.9615 0.000 1.000 0.000
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.0000 0.9615 0.000 1.000 0.000
#> F3C13430-405E-432E-8F3E-0DD18E86087E 2 0.2261 0.8902 0.068 0.932 0.000
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.0000 0.9615 0.000 1.000 0.000
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 1 0.0000 0.9534 1.000 0.000 0.000
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.0000 0.9615 0.000 1.000 0.000
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.0000 0.9615 0.000 1.000 0.000
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 1 0.5291 0.5829 0.732 0.268 0.000
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.0000 0.9615 0.000 1.000 0.000
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.0000 0.9534 1.000 0.000 0.000
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 1 0.0237 0.9516 0.996 0.004 0.000
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 1 0.0000 0.9534 1.000 0.000 0.000
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.0000 0.9615 0.000 1.000 0.000
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.0000 0.9892 0.000 0.000 1.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.0000 0.9892 0.000 0.000 1.000
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 2 0.0000 0.9615 0.000 1.000 0.000
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 1 0.1860 0.9090 0.948 0.052 0.000
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.6309 -0.0194 0.500 0.500 0.000
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 1 0.0747 0.9452 0.984 0.016 0.000
#> 343F031B-0095-429D-8212-AD0581DBB05B 1 0.0592 0.9476 0.988 0.012 0.000
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 2 0.0000 0.9615 0.000 1.000 0.000
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.0000 0.9534 1.000 0.000 0.000
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 2 0.0000 0.9615 0.000 1.000 0.000
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 2 0.0000 0.9615 0.000 1.000 0.000
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 1 0.0000 0.9534 1.000 0.000 0.000
#> F9F33C38-A087-49FF-B994-3C9EE264F448 1 0.0000 0.9534 1.000 0.000 0.000
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.0000 0.9615 0.000 1.000 0.000
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.0000 0.9615 0.000 1.000 0.000
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.0000 0.9892 0.000 0.000 1.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.0000 0.9534 1.000 0.000 0.000
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.0000 0.9892 0.000 0.000 1.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 1 0.2711 0.8635 0.912 0.088 0.000
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.0000 0.9892 0.000 0.000 1.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.0000 0.9615 0.000 1.000 0.000
#> FC7821F4-6495-4545-A22A-764BB99B3F79 2 0.4887 0.6840 0.228 0.772 0.000
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.0000 0.9615 0.000 1.000 0.000
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.0000 0.9615 0.000 1.000 0.000
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.0000 0.9615 0.000 1.000 0.000
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.0000 0.9615 0.000 1.000 0.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 1 0.0000 0.9534 1.000 0.000 0.000
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 1 0.0747 0.9452 0.984 0.016 0.000
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.0000 0.9615 0.000 1.000 0.000
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0000 0.9892 0.000 0.000 1.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 1 0.0592 0.9476 0.988 0.012 0.000
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.3941 0.7771 0.156 0.844 0.000
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 1 0.0000 0.9534 1.000 0.000 0.000
#> BEE081CA-8420-4314-88A0-286BB30FFD65 1 0.1529 0.9223 0.960 0.040 0.000
#> C464CD1D-4519-48E8-A18A-403F691E5702 1 0.1964 0.8976 0.944 0.056 0.000
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.0000 0.9534 1.000 0.000 0.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.0000 0.9615 0.000 1.000 0.000
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0000 0.9615 0.000 1.000 0.000
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.0000 0.9534 1.000 0.000 0.000
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.0000 0.9534 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 4 0.6194 0.50187 0.132 0.200 0.000 0.668
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 2 0.4972 0.07126 0.000 0.544 0.000 0.456
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 2 0.0336 0.85610 0.008 0.992 0.000 0.000
#> 91202998-760F-4421-B1C4-18639962EDDA 4 0.0336 0.66177 0.008 0.000 0.000 0.992
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.6906 0.46388 0.156 0.580 0.000 0.264
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 2 0.0000 0.85802 0.000 1.000 0.000 0.000
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 4 0.4585 0.37513 0.000 0.332 0.000 0.668
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.1256 0.85133 0.028 0.964 0.000 0.008
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.0000 0.85802 0.000 1.000 0.000 0.000
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.0000 0.85802 0.000 1.000 0.000 0.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 4 0.0336 0.66377 0.000 0.008 0.000 0.992
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.0000 1.00000 0.000 0.000 1.000 0.000
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 2 0.0336 0.85610 0.008 0.992 0.000 0.000
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 1 0.4525 0.69042 0.804 0.116 0.000 0.080
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0000 1.00000 0.000 0.000 1.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.4722 0.68543 0.300 0.692 0.000 0.008
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.4356 0.79252 0.708 0.000 0.000 0.292
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 4 0.5435 0.26162 0.016 0.420 0.000 0.564
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 2 0.0336 0.85527 0.000 0.992 0.000 0.008
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.3024 0.78544 0.852 0.000 0.000 0.148
#> D7A50E95-777C-47A6-8F93-031CB4770633 4 0.7577 0.38534 0.316 0.216 0.000 0.468
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.0336 0.85610 0.008 0.992 0.000 0.000
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 1 0.2676 0.74852 0.896 0.012 0.000 0.092
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 4 0.0000 0.66291 0.000 0.000 0.000 1.000
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.0000 0.85802 0.000 1.000 0.000 0.000
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 2 0.0336 0.85610 0.008 0.992 0.000 0.000
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.2546 0.83470 0.092 0.900 0.000 0.008
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.7096 0.28511 0.140 0.516 0.000 0.344
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.0000 1.00000 0.000 0.000 1.000 0.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.0469 0.85594 0.012 0.988 0.000 0.000
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 2 0.1389 0.83443 0.000 0.952 0.000 0.048
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 2 0.4998 0.01406 0.000 0.512 0.000 0.488
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.0000 0.85802 0.000 1.000 0.000 0.000
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.0000 0.85802 0.000 1.000 0.000 0.000
#> 2846A3AC-D102-4E37-9B72-139ED727157A 2 0.0000 0.85802 0.000 1.000 0.000 0.000
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.6262 0.60957 0.280 0.628 0.000 0.092
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 4 0.0336 0.66177 0.008 0.000 0.000 0.992
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 4 0.4999 -0.46780 0.492 0.000 0.000 0.508
#> 150F5B77-4848-4D68-800A-0A0236C3661F 2 0.0000 0.85802 0.000 1.000 0.000 0.000
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.3837 0.79910 0.776 0.000 0.000 0.224
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.0000 0.85802 0.000 1.000 0.000 0.000
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.3300 0.80498 0.144 0.848 0.000 0.008
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 4 0.4955 -0.35918 0.444 0.000 0.000 0.556
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 2 0.0000 0.85802 0.000 1.000 0.000 0.000
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.5257 0.47998 0.444 0.548 0.000 0.008
#> 1447B543-D3AC-41B5-878F-B382FE49421B 4 0.4103 0.38040 0.256 0.000 0.000 0.744
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 1 0.2973 0.76624 0.856 0.000 0.000 0.144
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 4 0.4103 0.53719 0.000 0.256 0.000 0.744
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.0000 1.00000 0.000 0.000 1.000 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 2 0.4925 0.16150 0.000 0.572 0.000 0.428
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 2 0.0672 0.85311 0.008 0.984 0.000 0.008
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.4356 0.79252 0.708 0.000 0.000 0.292
#> D9225689-21E0-478A-8F79-C26542938B8D 2 0.0000 0.85802 0.000 1.000 0.000 0.000
#> FC3BA46D-57F6-424C-8D62-16C441035969 2 0.0000 0.85802 0.000 1.000 0.000 0.000
#> 045CFFE6-4736-42F2-9340-C37690E47882 3 0.0000 1.00000 0.000 0.000 1.000 0.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 2 0.7786 -0.14314 0.268 0.424 0.000 0.308
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 2 0.4831 0.66727 0.280 0.704 0.000 0.016
#> E94B217F-C5DC-4F42-8135-E81F338914B5 2 0.0000 0.85802 0.000 1.000 0.000 0.000
#> AE4C3956-76DF-4059-8D69-3D764F31817F 2 0.0000 0.85802 0.000 1.000 0.000 0.000
#> 33D6A38E-CD99-437B-99E0-04E72582F777 2 0.5244 0.13863 0.008 0.556 0.000 0.436
#> 8379051C-5847-42B5-AC5C-A128C166AB97 4 0.0336 0.66377 0.000 0.008 0.000 0.992
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 4 0.2868 0.61591 0.000 0.136 0.000 0.864
#> 40A16429-229E-4F40-BFC7-263554438F99 2 0.0000 0.85802 0.000 1.000 0.000 0.000
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 2 0.0000 0.85802 0.000 1.000 0.000 0.000
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 2 0.0000 0.85802 0.000 1.000 0.000 0.000
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 1 0.4500 0.77217 0.684 0.000 0.000 0.316
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 4 0.0469 0.66067 0.012 0.000 0.000 0.988
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.4621 0.70078 0.284 0.708 0.000 0.008
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 4 0.0000 0.66291 0.000 0.000 0.000 1.000
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 2 0.5944 0.66776 0.140 0.696 0.000 0.164
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 2 0.1302 0.84901 0.044 0.956 0.000 0.000
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.3907 0.79643 0.140 0.828 0.000 0.032
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#> C9581CE3-58B6-45B4-B4B7-15F555FD84A4 4 0.4103 0.38040 0.256 0.000 0.000 0.744
#> F56C26ED-9358-485B-8867-EBA1CAA4E2A7 2 0.4621 0.70078 0.284 0.708 0.000 0.008
#> 45CA3F9E-40EE-43A4-AE57-FE51D4003844 2 0.0000 0.85802 0.000 1.000 0.000 0.000
#> 47EFA063-19C1-4E1F-ACE8-68D9BAD0B995 4 0.4103 0.38040 0.256 0.000 0.000 0.744
#> 8C30EA0F-0DA1-43C7-81AE-DE825A53F114 2 0.4992 0.00735 0.000 0.524 0.000 0.476
#> 2CE7477C-DD09-4B3A-AD65-C696BE8C9B11 1 0.4356 0.79252 0.708 0.000 0.000 0.292
#> 4DECB19A-290F-4CEB-BE25-AAF9B9E2B58F 1 0.4356 0.79252 0.708 0.000 0.000 0.292
#> 3DEA9B14-DF42-43A0-AC4A-32AE7A16218D 2 0.0336 0.85610 0.008 0.992 0.000 0.000
#> 9F57D45B-C62F-44C5-AB9D-0CB54BBA16F5 2 0.0707 0.84995 0.000 0.980 0.000 0.020
#> 54ACCFD9-A8D6-4E4C-9097-1A0BE258AA1B 1 0.2814 0.77674 0.868 0.000 0.000 0.132
#> 9EE67DE9-9B56-4773-8F6A-1036D31F568E 4 0.2704 0.62378 0.000 0.124 0.000 0.876
#> 1B1C9301-D6D6-4F6B-80A3-3603013AA951 2 0.0000 0.85802 0.000 1.000 0.000 0.000
#> DDDCDF00-FB0A-477B-891B-2EE5E0C8F61E 3 0.0000 1.00000 0.000 0.000 1.000 0.000
#> 34A3260D-AC4D-416F-ADF0-24013048BC46 2 0.6958 0.43187 0.232 0.584 0.000 0.184
#> 671C1840-9C1B-4AC1-9564-78802489F763 1 0.4356 0.79252 0.708 0.000 0.000 0.292
#> BA4F7841-9FC3-4CE6-ACA5-43FC36641640 2 0.7834 0.13812 0.284 0.408 0.000 0.308
#> 24A02CE5-28E7-457E-8B90-4EACA528B072 1 0.3024 0.78544 0.852 0.000 0.000 0.148
#> C7008665-F6DE-48B4-A0E7-6C388B72C609 2 0.4482 0.72074 0.264 0.728 0.000 0.008
#> 50F984AB-95C1-4D7B-A787-418CBB59D165 4 0.0336 0.66177 0.008 0.000 0.000 0.992
#> 5FFD2A6A-ED8A-44A9-9FC1-3106341C284A 2 0.0000 0.85802 0.000 1.000 0.000 0.000
#> 7481630E-5CBA-4A4A-A16F-E327BCEE11D3 1 0.4356 0.79252 0.708 0.000 0.000 0.292
#> 7B3E6643-C148-4266-A3A3-80BAB713DD3E 2 0.0927 0.85481 0.016 0.976 0.000 0.008
#> BA8564FA-8D4D-4B2F-A178-63209F887A05 1 0.0672 0.65154 0.984 0.000 0.008 0.008
#> 2FB578F6-E8B7-434D-9720-D448A26C1EFD 1 0.3123 0.78838 0.844 0.000 0.000 0.156
#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 1 0.1042 0.63678 0.972 0.020 0.000 0.008
#> 740FCE46-8A4A-4A6A-B79F-78A63D28E313 2 0.0000 0.85802 0.000 1.000 0.000 0.000
#> 523A5832-0C42-44A4-A58F-7011C3A567DC 3 0.0000 1.00000 0.000 0.000 1.000 0.000
#> A2C68C81-7371-4E0C-BFD1-EA868A7C9499 2 0.4744 0.69781 0.284 0.704 0.000 0.012
#> 2EB7025A-D932-4238-BD60-609B25150029 2 0.0336 0.85610 0.008 0.992 0.000 0.000
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 2 0.0000 0.85802 0.000 1.000 0.000 0.000
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 2 0.3925 0.76724 0.176 0.808 0.000 0.016
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 2 0.3681 0.79036 0.176 0.816 0.000 0.008
#> F081EA01-ED14-491B-9620-BF8F10A7431D 2 0.0000 0.85802 0.000 1.000 0.000 0.000
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 2 0.4482 0.71701 0.264 0.728 0.000 0.008
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 2 0.4941 0.14077 0.000 0.564 0.000 0.436
#> B54639CE-F721-4908-B758-309F148AD3C2 2 0.0000 0.85802 0.000 1.000 0.000 0.000
#> EB4294E1-3FBC-495C-A041-829A654B59C5 3 0.0000 1.00000 0.000 0.000 1.000 0.000
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 1 0.3074 0.78695 0.848 0.000 0.000 0.152
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.2124 0.83910 0.068 0.924 0.000 0.008
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 1 0.0592 0.65637 0.984 0.000 0.000 0.016
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.0779 0.85523 0.016 0.980 0.000 0.004
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 1 0.2868 0.77905 0.864 0.000 0.000 0.136
#> D34036E4-1122-42AE-B20F-F4C8515872A0 2 0.0000 0.85802 0.000 1.000 0.000 0.000
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 2 0.6086 0.62725 0.132 0.680 0.000 0.188
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 4 0.1716 0.62371 0.064 0.000 0.000 0.936
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 3 0.0000 1.00000 0.000 0.000 1.000 0.000
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.3249 0.80656 0.140 0.852 0.000 0.008
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.3249 0.80656 0.140 0.852 0.000 0.008
#> F3C13430-405E-432E-8F3E-0DD18E86087E 2 0.3606 0.77662 0.132 0.844 0.000 0.024
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.3591 0.79358 0.168 0.824 0.000 0.008
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 1 0.4356 0.79252 0.708 0.000 0.000 0.292
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.3249 0.80656 0.140 0.852 0.000 0.008
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.2593 0.82565 0.104 0.892 0.000 0.004
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 1 0.5093 0.56382 0.640 0.012 0.000 0.348
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.4621 0.70078 0.284 0.708 0.000 0.008
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.2868 0.77871 0.864 0.000 0.000 0.136
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 4 0.6007 0.29978 0.056 0.340 0.000 0.604
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 1 0.3688 0.79658 0.792 0.000 0.000 0.208
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.0000 0.85802 0.000 1.000 0.000 0.000
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.0000 1.00000 0.000 0.000 1.000 0.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.0000 1.00000 0.000 0.000 1.000 0.000
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 2 0.1256 0.85281 0.028 0.964 0.000 0.008
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 4 0.4331 0.52107 0.000 0.288 0.000 0.712
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.7719 0.25942 0.284 0.448 0.000 0.268
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 4 0.0336 0.66377 0.000 0.008 0.000 0.992
#> 343F031B-0095-429D-8212-AD0581DBB05B 4 0.0336 0.66177 0.008 0.000 0.000 0.992
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 2 0.0000 0.85802 0.000 1.000 0.000 0.000
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.4697 0.72306 0.644 0.000 0.000 0.356
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 2 0.0672 0.85604 0.008 0.984 0.000 0.008
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 2 0.0000 0.85802 0.000 1.000 0.000 0.000
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 4 0.4948 0.33221 0.440 0.000 0.000 0.560
#> F9F33C38-A087-49FF-B994-3C9EE264F448 1 0.1637 0.63988 0.940 0.000 0.000 0.060
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.0000 0.85802 0.000 1.000 0.000 0.000
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.3168 0.82503 0.060 0.884 0.000 0.056
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.0000 1.00000 0.000 0.000 1.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.4500 0.77217 0.684 0.000 0.000 0.316
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.0000 1.00000 0.000 0.000 1.000 0.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 4 0.3172 0.55563 0.000 0.160 0.000 0.840
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.0000 1.00000 0.000 0.000 1.000 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.3249 0.80656 0.140 0.852 0.000 0.008
#> FC7821F4-6495-4545-A22A-764BB99B3F79 1 0.2060 0.59581 0.932 0.052 0.000 0.016
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.0000 0.85802 0.000 1.000 0.000 0.000
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.5229 0.14621 0.008 0.564 0.000 0.428
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.0000 0.85802 0.000 1.000 0.000 0.000
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.3249 0.80656 0.140 0.852 0.000 0.008
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 1 0.3266 0.78158 0.832 0.000 0.000 0.168
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 4 0.0921 0.66318 0.000 0.028 0.000 0.972
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.3196 0.81093 0.136 0.856 0.000 0.008
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0000 1.00000 0.000 0.000 1.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 2 0.5717 0.39637 0.044 0.632 0.000 0.324
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 4 0.7363 0.19052 0.168 0.356 0.000 0.476
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 4 0.0921 0.65097 0.028 0.000 0.000 0.972
#> BEE081CA-8420-4314-88A0-286BB30FFD65 4 0.4522 0.49499 0.000 0.320 0.000 0.680
#> C464CD1D-4519-48E8-A18A-403F691E5702 1 0.4356 0.79252 0.708 0.000 0.000 0.292
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.4356 0.79252 0.708 0.000 0.000 0.292
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.0000 0.85802 0.000 1.000 0.000 0.000
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.4422 0.72816 0.256 0.736 0.000 0.008
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.4277 0.79069 0.720 0.000 0.000 0.280
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.3024 0.78544 0.852 0.000 0.000 0.148
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.1331 0.3191 0.040 0.952 0.000 0.000 0.008
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 5 0.5246 0.2675 0.000 0.384 0.000 0.052 0.564
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 5 0.5087 0.4018 0.376 0.028 0.000 0.008 0.588
#> 91202998-760F-4421-B1C4-18639962EDDA 4 0.5195 0.7689 0.048 0.388 0.000 0.564 0.000
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.3487 0.5047 0.000 0.780 0.000 0.008 0.212
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 5 0.0000 0.7855 0.000 0.000 0.000 0.000 1.000
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 4 0.5727 0.1237 0.028 0.036 0.000 0.532 0.404
#> 54337CE9-6F12-4712-8131-4B83F3216343 5 0.3667 0.6109 0.000 0.140 0.000 0.048 0.812
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 5 0.0000 0.7855 0.000 0.000 0.000 0.000 1.000
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 5 0.0000 0.7855 0.000 0.000 0.000 0.000 1.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 4 0.4517 0.7727 0.012 0.388 0.000 0.600 0.000
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.0000 1.0000 0.000 0.000 1.000 0.000 0.000
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 5 0.5087 0.4018 0.376 0.028 0.000 0.008 0.588
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 1 0.5283 0.8593 0.572 0.032 0.000 0.384 0.012
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0000 1.0000 0.000 0.000 1.000 0.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.4464 0.5326 0.000 0.584 0.000 0.008 0.408
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.4114 0.8724 0.624 0.000 0.000 0.376 0.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 2 0.5486 0.0502 0.000 0.572 0.000 0.076 0.352
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 5 0.1608 0.7480 0.000 0.000 0.000 0.072 0.928
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.5102 0.8629 0.580 0.044 0.000 0.376 0.000
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.0898 0.3329 0.020 0.972 0.000 0.000 0.008
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 5 0.5087 0.4018 0.376 0.028 0.000 0.008 0.588
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 1 0.5102 0.8629 0.580 0.044 0.000 0.376 0.000
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 4 0.4138 0.7691 0.000 0.384 0.000 0.616 0.000
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 5 0.0000 0.7855 0.000 0.000 0.000 0.000 1.000
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 5 0.5087 0.4018 0.376 0.028 0.000 0.008 0.588
#> 1139D935-739E-4C42-BFCB-06021A85932E 5 0.6874 0.1128 0.376 0.220 0.000 0.008 0.396
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.2020 0.3961 0.000 0.900 0.000 0.000 0.100
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.0000 1.0000 0.000 0.000 1.000 0.000 0.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 5 0.0451 0.7821 0.000 0.004 0.000 0.008 0.988
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 5 0.2270 0.7322 0.000 0.020 0.000 0.076 0.904
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 5 0.4196 0.3625 0.000 0.356 0.000 0.004 0.640
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 5 0.0000 0.7855 0.000 0.000 0.000 0.000 1.000
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 5 0.0000 0.7855 0.000 0.000 0.000 0.000 1.000
#> 2846A3AC-D102-4E37-9B72-139ED727157A 5 0.0000 0.7855 0.000 0.000 0.000 0.000 1.000
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.4455 0.5348 0.000 0.588 0.000 0.008 0.404
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 4 0.5369 0.7649 0.060 0.388 0.000 0.552 0.000
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 4 0.4321 -0.5946 0.396 0.004 0.000 0.600 0.000
#> 150F5B77-4848-4D68-800A-0A0236C3661F 5 0.0000 0.7855 0.000 0.000 0.000 0.000 1.000
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.4746 0.8701 0.600 0.024 0.000 0.376 0.000
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 5 0.0000 0.7855 0.000 0.000 0.000 0.000 1.000
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.4297 0.4744 0.000 0.528 0.000 0.000 0.472
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 4 0.1892 0.1875 0.080 0.004 0.000 0.916 0.000
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 5 0.0000 0.7855 0.000 0.000 0.000 0.000 1.000
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.6431 0.3622 0.000 0.436 0.000 0.176 0.388
#> 1447B543-D3AC-41B5-878F-B382FE49421B 1 0.4331 0.2014 0.596 0.400 0.000 0.004 0.000
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 1 0.5360 0.8524 0.556 0.060 0.000 0.384 0.000
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 2 0.5569 -0.0719 0.028 0.496 0.000 0.024 0.452
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.0000 1.0000 0.000 0.000 1.000 0.000 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 5 0.5246 0.2675 0.000 0.384 0.000 0.052 0.564
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 5 0.6188 0.3494 0.376 0.028 0.000 0.072 0.524
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.4114 0.8724 0.624 0.000 0.000 0.376 0.000
#> D9225689-21E0-478A-8F79-C26542938B8D 5 0.0000 0.7855 0.000 0.000 0.000 0.000 1.000
#> FC3BA46D-57F6-424C-8D62-16C441035969 5 0.0000 0.7855 0.000 0.000 0.000 0.000 1.000
#> 045CFFE6-4736-42F2-9340-C37690E47882 3 0.0000 1.0000 0.000 0.000 1.000 0.000 0.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 1 0.3107 0.3320 0.864 0.032 0.000 0.008 0.096
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 5 0.5647 0.4476 0.128 0.132 0.000 0.040 0.700
#> E94B217F-C5DC-4F42-8135-E81F338914B5 5 0.0000 0.7855 0.000 0.000 0.000 0.000 1.000
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#> 73B58A54-E759-44FE-8B84-70D60C78066D 4 0.4856 0.7725 0.028 0.388 0.000 0.584 0.000
#> 4001EE2D-F208-465E-B718-01CCB9BD1C17 2 0.5993 0.5397 0.000 0.584 0.000 0.184 0.232
#> AFE61E30-D425-40CC-BC57-C210A0D03EFE 1 0.4138 0.8704 0.616 0.000 0.000 0.384 0.000
#> C06D79D5-4D8A-47D3-97CE-0E9BA204347C 5 0.3109 0.6234 0.200 0.000 0.000 0.000 0.800
#> 3975BE32-7E20-4EFC-9122-FE468544C5D9 5 0.5403 0.2527 0.004 0.388 0.000 0.052 0.556
#> 0FDC5030-92FC-44B5-AE62-6EC3EA9290BB 3 0.0000 1.0000 0.000 0.000 1.000 0.000 0.000
#> 8E3F8687-B00B-4FA9-84F2-F731B169FC45 5 0.0290 0.7831 0.000 0.000 0.000 0.008 0.992
#> 45CEDF59-BC7A-4D86-8C2D-9A91AC141D30 4 0.5518 0.7577 0.072 0.384 0.000 0.544 0.000
#> 4043BFE7-72A7-4A95-8CB2-53FDD574B7EA 4 0.4949 0.4104 0.396 0.032 0.000 0.572 0.000
#> 64D465E7-0DB8-46A1-8BF2-BBF59D23B7EB 2 0.1430 0.3729 0.000 0.944 0.000 0.004 0.052
#> 9824DFB4-0A1A-4BA4-B2DC-5348DA3D3AE6 2 0.3171 0.5385 0.008 0.816 0.000 0.000 0.176
#> 50ECFB2A-FF9D-4A8A-91CB-3902D3B670A0 2 0.3841 0.3465 0.032 0.780 0.000 0.188 0.000
#> 755D805B-B9F4-41D3-ACA7-2BB599C3D529 5 0.4680 -0.2916 0.004 0.448 0.000 0.008 0.540
#> 0BA34100-8588-47B5-A962-4BD1916645B6 1 0.4114 0.8724 0.624 0.000 0.000 0.376 0.000
#> 9CE2E8D4-1AD1-4546-AD5D-D58193F79096 4 0.1638 0.2204 0.064 0.004 0.000 0.932 0.000
#> 92D7DB12-B0E0-4072-98FB-34B112E7728D 1 0.5102 0.8416 0.580 0.000 0.000 0.376 0.044
#> 79FD2101-0A9A-4EA7-A773-5EA8693138D0 5 0.0000 0.7855 0.000 0.000 0.000 0.000 1.000
#> A3A8937A-0B0B-4A68-AE68-81DA9CF7F4FB 4 0.5527 0.7589 0.072 0.388 0.000 0.540 0.000
#> 3EB3C0F8-4CBC-41A7-81E4-4D8A565441A7 4 0.4697 0.7732 0.020 0.388 0.000 0.592 0.000
#> 77EE3B54-FD7A-4ACF-879C-31667ADCCC5B 2 0.5077 0.5090 0.000 0.536 0.000 0.036 0.428
#> 327B2123-6DD8-4263-87DE-EE917E911DD4 4 0.4150 0.7697 0.000 0.388 0.000 0.612 0.000
#> 198A6AD0-79CD-40F5-A622-18AFBE78F2D2 1 0.4114 0.8724 0.624 0.000 0.000 0.376 0.000
#> EEE29DE1-F88C-4184-B499-5E86E2D252C4 2 0.6765 -0.5954 0.272 0.384 0.000 0.344 0.000
#> 1E95EA22-BC41-4AAE-AFCC-F9281989A785 4 0.4288 -0.5975 0.384 0.004 0.000 0.612 0.000
#> CD3AC0E4-88A9-4084-A2BE-AEE722CF6AA3 1 0.5550 0.8377 0.548 0.076 0.000 0.376 0.000
#> 8D7FABA2-764D-4795-BB04-D9E69E9792B9 1 0.4114 0.8724 0.624 0.000 0.000 0.376 0.000
#> DAC07889-EE06-46E0-B1F1-833ECC0A48A9 5 0.3999 0.1229 0.000 0.344 0.000 0.000 0.656
#> E7B555A3-567B-4A44-8225-D269E73FB50B 5 0.0000 0.7855 0.000 0.000 0.000 0.000 1.000
#> 3CC95101-C35F-4761-9D41-3C35BD55B37E 5 0.3098 0.6351 0.000 0.148 0.000 0.016 0.836
#> F62E5A69-5E81-4B2A-8CC0-F4D6E188B187 1 0.6243 0.7563 0.472 0.148 0.000 0.380 0.000
#> C650633B-A369-4657-8693-FDFBF22BD34E 2 0.2511 0.3335 0.028 0.892 0.000 0.000 0.080
#> 5E514217-F0DB-49FD-9C5D-EB22628ED297 5 0.0000 0.7855 0.000 0.000 0.000 0.000 1.000
#> 6E1DB9BF-06FE-48B1-A2D8-EF2CE7591364 2 0.1168 0.3701 0.000 0.960 0.000 0.008 0.032
#> C9581CE3-58B6-45B4-B4B7-15F555FD84A4 1 0.4299 0.2147 0.608 0.388 0.000 0.004 0.000
#> F56C26ED-9358-485B-8867-EBA1CAA4E2A7 2 0.4464 0.5326 0.000 0.584 0.000 0.008 0.408
#> 45CA3F9E-40EE-43A4-AE57-FE51D4003844 5 0.0000 0.7855 0.000 0.000 0.000 0.000 1.000
#> 47EFA063-19C1-4E1F-ACE8-68D9BAD0B995 1 0.4299 0.2147 0.608 0.388 0.000 0.004 0.000
#> 8C30EA0F-0DA1-43C7-81AE-DE825A53F114 5 0.4299 0.3177 0.000 0.388 0.000 0.004 0.608
#> 2CE7477C-DD09-4B3A-AD65-C696BE8C9B11 1 0.4114 0.8724 0.624 0.000 0.000 0.376 0.000
#> 4DECB19A-290F-4CEB-BE25-AAF9B9E2B58F 1 0.4114 0.8724 0.624 0.000 0.000 0.376 0.000
#> 3DEA9B14-DF42-43A0-AC4A-32AE7A16218D 5 0.5087 0.4018 0.376 0.028 0.000 0.008 0.588
#> 9F57D45B-C62F-44C5-AB9D-0CB54BBA16F5 5 0.0609 0.7761 0.000 0.020 0.000 0.000 0.980
#> 54ACCFD9-A8D6-4E4C-9097-1A0BE258AA1B 1 0.5294 0.8554 0.564 0.056 0.000 0.380 0.000
#> 9EE67DE9-9B56-4773-8F6A-1036D31F568E 4 0.5102 0.7426 0.000 0.376 0.000 0.580 0.044
#> 1B1C9301-D6D6-4F6B-80A3-3603013AA951 5 0.0000 0.7855 0.000 0.000 0.000 0.000 1.000
#> DDDCDF00-FB0A-477B-891B-2EE5E0C8F61E 3 0.0000 1.0000 0.000 0.000 1.000 0.000 0.000
#> 34A3260D-AC4D-416F-ADF0-24013048BC46 5 0.5556 0.3152 0.136 0.204 0.000 0.004 0.656
#> 671C1840-9C1B-4AC1-9564-78802489F763 1 0.4114 0.8724 0.624 0.000 0.000 0.376 0.000
#> BA4F7841-9FC3-4CE6-ACA5-43FC36641640 2 0.2011 0.4463 0.000 0.908 0.000 0.004 0.088
#> 24A02CE5-28E7-457E-8B90-4EACA528B072 1 0.4824 0.8683 0.596 0.028 0.000 0.376 0.000
#> C7008665-F6DE-48B4-A0E7-6C388B72C609 5 0.4273 -0.2204 0.000 0.448 0.000 0.000 0.552
#> 50F984AB-95C1-4D7B-A787-418CBB59D165 4 0.5255 0.7686 0.052 0.388 0.000 0.560 0.000
#> 5FFD2A6A-ED8A-44A9-9FC1-3106341C284A 5 0.0000 0.7855 0.000 0.000 0.000 0.000 1.000
#> 7481630E-5CBA-4A4A-A16F-E327BCEE11D3 1 0.4114 0.8724 0.624 0.000 0.000 0.376 0.000
#> 7B3E6643-C148-4266-A3A3-80BAB713DD3E 5 0.1270 0.7483 0.000 0.052 0.000 0.000 0.948
#> BA8564FA-8D4D-4B2F-A178-63209F887A05 2 0.6672 -0.3450 0.232 0.392 0.000 0.376 0.000
#> 2FB578F6-E8B7-434D-9720-D448A26C1EFD 1 0.5102 0.8629 0.580 0.044 0.000 0.376 0.000
#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 2 0.4920 0.1720 0.032 0.584 0.000 0.384 0.000
#> 740FCE46-8A4A-4A6A-B79F-78A63D28E313 5 0.0000 0.7855 0.000 0.000 0.000 0.000 1.000
#> 523A5832-0C42-44A4-A58F-7011C3A567DC 3 0.0000 1.0000 0.000 0.000 1.000 0.000 0.000
#> A2C68C81-7371-4E0C-BFD1-EA868A7C9499 2 0.4219 0.5298 0.000 0.584 0.000 0.000 0.416
#> 2EB7025A-D932-4238-BD60-609B25150029 5 0.5087 0.4018 0.376 0.028 0.000 0.008 0.588
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 5 0.0000 0.7855 0.000 0.000 0.000 0.000 1.000
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 5 0.3305 0.5236 0.000 0.224 0.000 0.000 0.776
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 5 0.4327 0.0616 0.000 0.360 0.000 0.008 0.632
#> F081EA01-ED14-491B-9620-BF8F10A7431D 5 0.0000 0.7855 0.000 0.000 0.000 0.000 1.000
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 5 0.4256 -0.1794 0.000 0.436 0.000 0.000 0.564
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 5 0.5568 0.2246 0.000 0.384 0.000 0.076 0.540
#> B54639CE-F721-4908-B758-309F148AD3C2 5 0.0000 0.7855 0.000 0.000 0.000 0.000 1.000
#> EB4294E1-3FBC-495C-A041-829A654B59C5 3 0.0000 1.0000 0.000 0.000 1.000 0.000 0.000
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 1 0.4969 0.8664 0.588 0.036 0.000 0.376 0.000
#> EBF3DBA0-0986-4593-BB30-174F2974E918 5 0.3876 0.2296 0.000 0.316 0.000 0.000 0.684
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 2 0.5037 0.1617 0.040 0.584 0.000 0.376 0.000
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 5 0.2280 0.6652 0.000 0.120 0.000 0.000 0.880
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 1 0.5165 0.8606 0.576 0.048 0.000 0.376 0.000
#> D34036E4-1122-42AE-B20F-F4C8515872A0 5 0.0290 0.7831 0.000 0.000 0.000 0.008 0.992
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 2 0.3913 0.5257 0.000 0.676 0.000 0.000 0.324
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 4 0.5559 0.7567 0.076 0.380 0.000 0.544 0.000
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 3 0.0000 1.0000 0.000 0.000 1.000 0.000 0.000
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.4291 0.4862 0.000 0.536 0.000 0.000 0.464
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.4297 0.4744 0.000 0.528 0.000 0.000 0.472
#> F3C13430-405E-432E-8F3E-0DD18E86087E 5 0.3918 0.6019 0.144 0.044 0.000 0.008 0.804
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.4294 0.4800 0.000 0.532 0.000 0.000 0.468
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 1 0.4114 0.8724 0.624 0.000 0.000 0.376 0.000
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 5 0.4227 -0.1729 0.000 0.420 0.000 0.000 0.580
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 5 0.4786 0.1844 0.000 0.308 0.000 0.040 0.652
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 4 0.4645 -0.4374 0.268 0.044 0.000 0.688 0.000
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.4464 0.5326 0.000 0.584 0.000 0.008 0.408
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.5102 0.8629 0.580 0.044 0.000 0.376 0.000
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 4 0.5003 0.4061 0.424 0.032 0.000 0.544 0.000
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 1 0.4482 0.8716 0.612 0.012 0.000 0.376 0.000
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 5 0.0000 0.7855 0.000 0.000 0.000 0.000 1.000
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.0000 1.0000 0.000 0.000 1.000 0.000 0.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.0000 1.0000 0.000 0.000 1.000 0.000 0.000
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 5 0.6622 0.2200 0.376 0.168 0.000 0.008 0.448
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 5 0.4927 0.2876 0.024 0.388 0.000 0.004 0.584
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.2852 0.5368 0.000 0.828 0.000 0.000 0.172
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 4 0.4415 0.7676 0.000 0.388 0.000 0.604 0.008
#> 343F031B-0095-429D-8212-AD0581DBB05B 4 0.4517 0.7727 0.012 0.388 0.000 0.600 0.000
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 5 0.0290 0.7831 0.000 0.000 0.000 0.008 0.992
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.4527 0.8603 0.596 0.012 0.000 0.392 0.000
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 5 0.2554 0.7238 0.000 0.036 0.000 0.072 0.892
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 5 0.0609 0.7805 0.000 0.000 0.000 0.020 0.980
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 2 0.1121 0.3088 0.044 0.956 0.000 0.000 0.000
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.4846 0.1760 0.028 0.588 0.000 0.384 0.000
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 5 0.0000 0.7855 0.000 0.000 0.000 0.000 1.000
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 5 0.3994 0.5410 0.000 0.188 0.000 0.040 0.772
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.0000 1.0000 0.000 0.000 1.000 0.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.4264 0.8706 0.620 0.004 0.000 0.376 0.000
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.0000 1.0000 0.000 0.000 1.000 0.000 0.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 4 0.6481 0.5754 0.028 0.232 0.000 0.584 0.156
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.0000 1.0000 0.000 0.000 1.000 0.000 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.4297 0.4744 0.000 0.528 0.000 0.000 0.472
#> FC7821F4-6495-4545-A22A-764BB99B3F79 2 0.5037 0.1617 0.040 0.584 0.000 0.376 0.000
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 5 0.0000 0.7855 0.000 0.000 0.000 0.000 1.000
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 5 0.4299 0.3189 0.000 0.388 0.000 0.004 0.608
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 5 0.0000 0.7855 0.000 0.000 0.000 0.000 1.000
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.4294 0.4807 0.000 0.532 0.000 0.000 0.468
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 1 0.4497 -0.1862 0.568 0.424 0.000 0.008 0.000
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 4 0.5461 0.7313 0.004 0.388 0.000 0.552 0.056
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 5 0.3796 0.2766 0.000 0.300 0.000 0.000 0.700
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0000 1.0000 0.000 0.000 1.000 0.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 1 0.5933 -0.1941 0.544 0.032 0.000 0.048 0.376
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.3090 0.4139 0.000 0.860 0.000 0.052 0.088
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 4 0.5304 0.7686 0.056 0.384 0.000 0.560 0.000
#> BEE081CA-8420-4314-88A0-286BB30FFD65 5 0.4822 0.3688 0.028 0.332 0.000 0.004 0.636
#> C464CD1D-4519-48E8-A18A-403F691E5702 1 0.4264 0.8713 0.620 0.000 0.000 0.376 0.004
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.4114 0.8724 0.624 0.000 0.000 0.376 0.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 5 0.0290 0.7831 0.000 0.000 0.000 0.008 0.992
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.4227 0.5275 0.000 0.580 0.000 0.000 0.420
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.4928 0.8695 0.596 0.020 0.000 0.376 0.008
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.5165 0.8606 0.576 0.048 0.000 0.376 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.4982 0.5943 0.052 0.692 0.000 0.216 0.028 0.012
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 5 0.3912 0.5540 0.000 0.000 0.000 0.224 0.732 0.044
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 6 0.2969 0.7354 0.000 0.000 0.000 0.000 0.224 0.776
#> 91202998-760F-4421-B1C4-18639962EDDA 4 0.0260 0.7968 0.000 0.000 0.000 0.992 0.000 0.008
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.5918 0.6232 0.000 0.604 0.000 0.196 0.148 0.052
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 5 0.0000 0.8130 0.000 0.000 0.000 0.000 1.000 0.000
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 4 0.5300 0.4696 0.000 0.000 0.000 0.600 0.212 0.188
#> 54337CE9-6F12-4712-8131-4B83F3216343 5 0.3645 0.6724 0.000 0.144 0.000 0.008 0.796 0.052
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 5 0.0000 0.8130 0.000 0.000 0.000 0.000 1.000 0.000
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 5 0.0000 0.8130 0.000 0.000 0.000 0.000 1.000 0.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 4 0.1910 0.7997 0.000 0.000 0.000 0.892 0.000 0.108
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.0000 1.0000 0.000 0.000 1.000 0.000 0.000 0.000
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 6 0.3023 0.7333 0.000 0.000 0.000 0.000 0.232 0.768
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 1 0.2311 0.8106 0.880 0.016 0.000 0.000 0.000 0.104
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0000 1.0000 0.000 0.000 1.000 0.000 0.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.5058 0.6529 0.000 0.600 0.000 0.000 0.292 0.108
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.0000 0.8994 1.000 0.000 0.000 0.000 0.000 0.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 5 0.7507 -0.0203 0.000 0.204 0.000 0.244 0.372 0.180
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#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.0458 0.8947 0.984 0.016 0.000 0.000 0.000 0.000
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 6 0.2912 0.5846 0.000 0.000 0.000 0.216 0.000 0.784
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 1 0.0146 0.8988 0.996 0.004 0.000 0.000 0.000 0.000
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 5 0.0000 0.8130 0.000 0.000 0.000 0.000 1.000 0.000
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.0000 1.0000 0.000 0.000 1.000 0.000 0.000 0.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.0000 1.0000 0.000 0.000 1.000 0.000 0.000 0.000
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 6 0.3869 0.6773 0.000 0.128 0.000 0.000 0.100 0.772
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 5 0.3271 0.5681 0.000 0.000 0.000 0.232 0.760 0.008
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.4496 0.6668 0.000 0.704 0.000 0.180 0.116 0.000
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 4 0.2631 0.7841 0.000 0.000 0.000 0.820 0.000 0.180
#> 343F031B-0095-429D-8212-AD0581DBB05B 4 0.0000 0.7987 0.000 0.000 0.000 1.000 0.000 0.000
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 5 0.1910 0.7567 0.000 0.000 0.000 0.000 0.892 0.108
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.5752 0.4162 0.544 0.304 0.000 0.016 0.000 0.136
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 5 0.3245 0.6993 0.000 0.004 0.000 0.016 0.796 0.184
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 5 0.3323 0.6660 0.000 0.000 0.000 0.008 0.752 0.240
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 2 0.4380 0.5653 0.080 0.700 0.000 0.220 0.000 0.000
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.3626 0.4877 0.288 0.704 0.000 0.004 0.000 0.004
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 5 0.0000 0.8130 0.000 0.000 0.000 0.000 1.000 0.000
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 5 0.3643 0.6118 0.000 0.200 0.000 0.008 0.768 0.024
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.0000 1.0000 0.000 0.000 1.000 0.000 0.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.0405 0.8953 0.988 0.000 0.000 0.004 0.000 0.008
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.0000 1.0000 0.000 0.000 1.000 0.000 0.000 0.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 4 0.4124 0.6410 0.000 0.000 0.000 0.748 0.132 0.120
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.0000 1.0000 0.000 0.000 1.000 0.000 0.000 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.3636 0.6978 0.000 0.676 0.000 0.000 0.320 0.004
#> FC7821F4-6495-4545-A22A-764BB99B3F79 2 0.3684 0.3815 0.372 0.628 0.000 0.000 0.000 0.000
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 5 0.0000 0.8130 0.000 0.000 0.000 0.000 1.000 0.000
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 5 0.3457 0.5696 0.000 0.000 0.000 0.232 0.752 0.016
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 5 0.0000 0.8130 0.000 0.000 0.000 0.000 1.000 0.000
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.3619 0.7014 0.000 0.680 0.000 0.000 0.316 0.004
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 6 0.3727 0.6399 0.128 0.088 0.000 0.000 0.000 0.784
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 4 0.1418 0.7753 0.000 0.000 0.000 0.944 0.032 0.024
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 5 0.3684 0.3509 0.000 0.332 0.000 0.000 0.664 0.004
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0000 1.0000 0.000 0.000 1.000 0.000 0.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 6 0.3441 0.6231 0.004 0.000 0.000 0.188 0.024 0.784
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.4943 0.6656 0.000 0.680 0.000 0.184 0.124 0.012
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 4 0.2664 0.7917 0.016 0.000 0.000 0.848 0.000 0.136
#> BEE081CA-8420-4314-88A0-286BB30FFD65 5 0.3073 0.6122 0.000 0.000 0.000 0.204 0.788 0.008
#> C464CD1D-4519-48E8-A18A-403F691E5702 1 0.0146 0.8987 0.996 0.000 0.000 0.004 0.000 0.000
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.0000 0.8994 1.000 0.000 0.000 0.000 0.000 0.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 5 0.1910 0.7567 0.000 0.000 0.000 0.000 0.892 0.108
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.3390 0.7122 0.000 0.704 0.000 0.000 0.296 0.000
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.0260 0.8976 0.992 0.000 0.000 0.008 0.000 0.000
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.0363 0.8960 0.988 0.012 0.000 0.000 0.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["MAD", "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 17109 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'MAD' method.
#> Subgroups are detected by 'mclust' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.989 0.995 0.1612 0.842 0.842
#> 3 3 0.307 0.660 0.824 2.3375 0.599 0.526
#> 4 4 0.398 0.411 0.736 0.2396 0.716 0.465
#> 5 5 0.391 0.440 0.646 0.0879 0.789 0.460
#> 6 6 0.485 0.438 0.681 0.0586 0.888 0.612
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
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.0000 0.996 0.000 1.000
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 2 0.0000 0.996 0.000 1.000
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 2 0.0000 0.996 0.000 1.000
#> 91202998-760F-4421-B1C4-18639962EDDA 2 0.2236 0.967 0.036 0.964
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.0000 0.996 0.000 1.000
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 2 0.0000 0.996 0.000 1.000
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 2 0.0000 0.996 0.000 1.000
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.0000 0.996 0.000 1.000
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.0000 0.996 0.000 1.000
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.0000 0.996 0.000 1.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 2 0.1633 0.977 0.024 0.976
#> 784B2359-6064-4FAA-9311-7A852F061FBB 1 0.6712 0.785 0.824 0.176
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 2 0.0000 0.996 0.000 1.000
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 2 0.0000 0.996 0.000 1.000
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 1 0.0000 0.982 1.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.0000 0.996 0.000 1.000
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 2 0.0000 0.996 0.000 1.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 2 0.0000 0.996 0.000 1.000
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 2 0.0000 0.996 0.000 1.000
#> A08E2707-DDB0-40FE-828F-14720768FB05 2 0.0000 0.996 0.000 1.000
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.0000 0.996 0.000 1.000
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.0000 0.996 0.000 1.000
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 2 0.0000 0.996 0.000 1.000
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 2 0.2236 0.967 0.036 0.964
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.0000 0.996 0.000 1.000
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 2 0.0000 0.996 0.000 1.000
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.0000 0.996 0.000 1.000
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.0000 0.996 0.000 1.000
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 1 0.0000 0.982 1.000 0.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.0000 0.996 0.000 1.000
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 2 0.0000 0.996 0.000 1.000
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 2 0.0000 0.996 0.000 1.000
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.0000 0.996 0.000 1.000
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.0000 0.996 0.000 1.000
#> 2846A3AC-D102-4E37-9B72-139ED727157A 2 0.0000 0.996 0.000 1.000
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.0000 0.996 0.000 1.000
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 2 0.2236 0.967 0.036 0.964
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 2 0.0000 0.996 0.000 1.000
#> 150F5B77-4848-4D68-800A-0A0236C3661F 2 0.0000 0.996 0.000 1.000
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 2 0.0000 0.996 0.000 1.000
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.0000 0.996 0.000 1.000
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.0000 0.996 0.000 1.000
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 2 0.2043 0.970 0.032 0.968
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 2 0.0000 0.996 0.000 1.000
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.0000 0.996 0.000 1.000
#> 1447B543-D3AC-41B5-878F-B382FE49421B 2 0.0000 0.996 0.000 1.000
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 2 0.0000 0.996 0.000 1.000
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 2 0.0000 0.996 0.000 1.000
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 1 0.0000 0.982 1.000 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 2 0.0000 0.996 0.000 1.000
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 2 0.0938 0.987 0.012 0.988
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 2 0.0000 0.996 0.000 1.000
#> D9225689-21E0-478A-8F79-C26542938B8D 2 0.0000 0.996 0.000 1.000
#> FC3BA46D-57F6-424C-8D62-16C441035969 2 0.0000 0.996 0.000 1.000
#> 045CFFE6-4736-42F2-9340-C37690E47882 1 0.0000 0.982 1.000 0.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 2 0.0000 0.996 0.000 1.000
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 2 0.0000 0.996 0.000 1.000
#> E94B217F-C5DC-4F42-8135-E81F338914B5 2 0.0000 0.996 0.000 1.000
#> AE4C3956-76DF-4059-8D69-3D764F31817F 2 0.0000 0.996 0.000 1.000
#> 33D6A38E-CD99-437B-99E0-04E72582F777 2 0.0000 0.996 0.000 1.000
#> 8379051C-5847-42B5-AC5C-A128C166AB97 2 0.2043 0.970 0.032 0.968
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 2 0.0000 0.996 0.000 1.000
#> 40A16429-229E-4F40-BFC7-263554438F99 2 0.0000 0.996 0.000 1.000
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 2 0.0000 0.996 0.000 1.000
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 2 0.0000 0.996 0.000 1.000
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 2 0.0000 0.996 0.000 1.000
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 2 0.2043 0.970 0.032 0.968
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.0000 0.996 0.000 1.000
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 2 0.1843 0.974 0.028 0.972
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 2 0.1843 0.974 0.028 0.972
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 2 0.0000 0.996 0.000 1.000
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.0000 0.996 0.000 1.000
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 2 0.0000 0.996 0.000 1.000
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 2 0.2043 0.970 0.032 0.968
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 2 0.0000 0.996 0.000 1.000
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 2 0.0000 0.996 0.000 1.000
#> FDB47AC4-CE6A-428B-9B55-EBCEF1970ACB 2 0.0000 0.996 0.000 1.000
#> 133B7E7B-FD50-48A2-9A35-E6D44FAB976B 2 0.0000 0.996 0.000 1.000
#> E69E45DA-66A6-438A-9BFC-5F1F7F5C5A87 2 0.1843 0.974 0.028 0.972
#> 6E242DF5-8B8B-4C6F-870E-C7ADFFAFDF3E 2 0.0000 0.996 0.000 1.000
#> CB7BBFF1-4BF3-42A9-85C6-680D91503799 2 0.2236 0.967 0.036 0.964
#> 70AA4670-C75B-4E39-8958-3F9C29811871 2 0.0000 0.996 0.000 1.000
#> D63C5178-4FF7-4FD0-B87E-6CBF6E7BEF5B 2 0.0000 0.996 0.000 1.000
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#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 2 0.0000 0.996 0.000 1.000
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.0000 0.996 0.000 1.000
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.0000 0.996 0.000 1.000
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.0000 0.996 0.000 1.000
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 1 0.0000 0.982 1.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 2 0.0000 0.996 0.000 1.000
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 1 0.0000 0.982 1.000 0.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 2 0.0000 0.996 0.000 1.000
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 1 0.0000 0.982 1.000 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.0000 0.996 0.000 1.000
#> FC7821F4-6495-4545-A22A-764BB99B3F79 2 0.0000 0.996 0.000 1.000
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.0000 0.996 0.000 1.000
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.0000 0.996 0.000 1.000
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.0000 0.996 0.000 1.000
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.0000 0.996 0.000 1.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 2 0.0000 0.996 0.000 1.000
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 2 0.0000 0.996 0.000 1.000
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.0000 0.996 0.000 1.000
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 1 0.0000 0.982 1.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 2 0.0000 0.996 0.000 1.000
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.0000 0.996 0.000 1.000
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 2 0.2043 0.970 0.032 0.968
#> BEE081CA-8420-4314-88A0-286BB30FFD65 2 0.0000 0.996 0.000 1.000
#> C464CD1D-4519-48E8-A18A-403F691E5702 2 0.0000 0.996 0.000 1.000
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 2 0.0000 0.996 0.000 1.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.0000 0.996 0.000 1.000
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0000 0.996 0.000 1.000
#> A563359B-0D55-4826-9229-62A89143C1C6 2 0.0000 0.996 0.000 1.000
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 2 0.0000 0.996 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.0424 0.77501 0.008 0.992 0.000
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 1 0.3340 0.71548 0.880 0.120 0.000
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 1 0.5785 0.50035 0.668 0.332 0.000
#> 91202998-760F-4421-B1C4-18639962EDDA 1 0.2066 0.73511 0.940 0.060 0.000
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.2261 0.79195 0.068 0.932 0.000
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 1 0.1031 0.73393 0.976 0.024 0.000
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 1 0.0000 0.72678 1.000 0.000 0.000
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.5216 0.67791 0.260 0.740 0.000
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.5016 0.68930 0.240 0.760 0.000
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.6215 0.36488 0.428 0.572 0.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 1 0.0747 0.72980 0.984 0.016 0.000
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.5945 0.71616 0.236 0.024 0.740
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 1 0.6180 0.24746 0.584 0.416 0.000
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 1 0.6295 0.40182 0.528 0.472 0.000
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0000 0.99071 0.000 0.000 1.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.0592 0.77705 0.012 0.988 0.000
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.6140 0.56706 0.596 0.404 0.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 1 0.2878 0.72173 0.904 0.096 0.000
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 1 0.2959 0.70657 0.900 0.100 0.000
#> A08E2707-DDB0-40FE-828F-14720768FB05 2 0.6095 -0.08322 0.392 0.608 0.000
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.0000 0.77046 0.000 1.000 0.000
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 1 0.6291 0.02204 0.532 0.468 0.000
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 2 0.5926 0.09308 0.356 0.644 0.000
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 1 0.1643 0.73013 0.956 0.044 0.000
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 1 0.6095 0.36570 0.608 0.392 0.000
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 1 0.2711 0.74187 0.912 0.088 0.000
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.6045 0.50085 0.380 0.620 0.000
#> 591C91F1-AA70-44DC-B721-0E781C333359 1 0.5810 0.49788 0.664 0.336 0.000
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.0000 0.99071 0.000 0.000 1.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.0424 0.77074 0.008 0.992 0.000
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 1 0.2711 0.71370 0.912 0.088 0.000
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 2 0.4346 0.70632 0.184 0.816 0.000
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.5988 0.42863 0.368 0.632 0.000
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.2878 0.78583 0.096 0.904 0.000
#> 2846A3AC-D102-4E37-9B72-139ED727157A 1 0.6308 -0.09145 0.508 0.492 0.000
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.0592 0.77717 0.012 0.988 0.000
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 1 0.3551 0.70927 0.868 0.132 0.000
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.2959 0.72969 0.900 0.100 0.000
#> 150F5B77-4848-4D68-800A-0A0236C3661F 2 0.6291 0.24038 0.468 0.532 0.000
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.6140 0.56706 0.596 0.404 0.000
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.3816 0.76172 0.148 0.852 0.000
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.2261 0.79195 0.068 0.932 0.000
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 1 0.2796 0.72945 0.908 0.092 0.000
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 1 0.4605 0.69051 0.796 0.204 0.000
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.0000 0.77046 0.000 1.000 0.000
#> 1447B543-D3AC-41B5-878F-B382FE49421B 2 0.6302 -0.36795 0.480 0.520 0.000
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 2 0.0424 0.77137 0.008 0.992 0.000
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 1 0.5254 0.61550 0.736 0.264 0.000
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.0000 0.99071 0.000 0.000 1.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 1 0.5529 0.47436 0.704 0.296 0.000
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 1 0.0000 0.72678 1.000 0.000 0.000
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.6140 0.56706 0.596 0.404 0.000
#> D9225689-21E0-478A-8F79-C26542938B8D 1 0.5859 0.58641 0.656 0.344 0.000
#> FC3BA46D-57F6-424C-8D62-16C441035969 1 0.5397 0.64517 0.720 0.280 0.000
#> 045CFFE6-4736-42F2-9340-C37690E47882 3 0.0000 0.99071 0.000 0.000 1.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 1 0.2796 0.74102 0.908 0.092 0.000
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 2 0.1529 0.78736 0.040 0.960 0.000
#> E94B217F-C5DC-4F42-8135-E81F338914B5 1 0.2945 0.72664 0.908 0.088 0.004
#> AE4C3956-76DF-4059-8D69-3D764F31817F 2 0.5327 0.65518 0.272 0.728 0.000
#> 33D6A38E-CD99-437B-99E0-04E72582F777 1 0.2959 0.71072 0.900 0.100 0.000
#> 8379051C-5847-42B5-AC5C-A128C166AB97 1 0.1643 0.72858 0.956 0.044 0.000
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 1 0.3619 0.69308 0.864 0.136 0.000
#> 40A16429-229E-4F40-BFC7-263554438F99 1 0.4750 0.68535 0.784 0.216 0.000
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 1 0.5621 0.63145 0.692 0.308 0.000
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 1 0.2356 0.72371 0.928 0.072 0.000
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 1 0.3482 0.72410 0.872 0.128 0.000
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 1 0.2625 0.71553 0.916 0.084 0.000
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.0237 0.77283 0.004 0.996 0.000
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 1 0.2261 0.72196 0.932 0.068 0.000
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 1 0.2878 0.72059 0.904 0.096 0.000
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 1 0.3192 0.74043 0.888 0.112 0.000
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.3816 0.76172 0.148 0.852 0.000
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 1 0.5810 0.49129 0.664 0.336 0.000
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 1 0.1411 0.72990 0.964 0.036 0.000
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 2 0.0000 0.77046 0.000 1.000 0.000
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 1 0.5363 0.64828 0.724 0.276 0.000
#> FDB47AC4-CE6A-428B-9B55-EBCEF1970ACB 1 0.0892 0.73543 0.980 0.020 0.000
#> 133B7E7B-FD50-48A2-9A35-E6D44FAB976B 2 0.6204 0.26313 0.424 0.576 0.000
#> E69E45DA-66A6-438A-9BFC-5F1F7F5C5A87 1 0.0000 0.72678 1.000 0.000 0.000
#> 6E242DF5-8B8B-4C6F-870E-C7ADFFAFDF3E 2 0.3686 0.76706 0.140 0.860 0.000
#> CB7BBFF1-4BF3-42A9-85C6-680D91503799 1 0.2165 0.73466 0.936 0.064 0.000
#> 70AA4670-C75B-4E39-8958-3F9C29811871 1 0.5988 0.54839 0.632 0.368 0.000
#> D63C5178-4FF7-4FD0-B87E-6CBF6E7BEF5B 2 0.3482 0.77369 0.128 0.872 0.000
#> 814391F8-C5B9-43F6-A330-A6749BB8F16E 1 0.4654 0.63583 0.792 0.208 0.000
#> 146ED7EA-BF3C-4BAB-B33C-0A668AB13C80 1 0.0000 0.72678 1.000 0.000 0.000
#> FD5CAFE8-E669-406A-A505-A47DCDC32E93 1 0.0000 0.72678 1.000 0.000 0.000
#> 4B3C7910-A652-45B5-8218-9002EB0FD9EB 1 0.4887 0.68030 0.772 0.228 0.000
#> E410F77D-E31F-4D73-ACAC-9245935A92F5 1 0.4605 0.69051 0.796 0.204 0.000
#> 64336403-9037-480C-873A-67BC77119FA5 2 0.1964 0.78446 0.056 0.944 0.000
#> 6F9D5013-3B1B-41EE-85DB-E51F5D828DEF 1 0.2261 0.73620 0.932 0.068 0.000
#> 155AEBBD-1C12-4F88-90C7-1C7FF7E3FB2C 1 0.2356 0.72054 0.928 0.072 0.000
#> D28DDCAA-682C-451F-8327-D2C2AFB044E2 2 0.3752 0.76446 0.144 0.856 0.000
#> 171523DC-2713-4EBF-A115-53A0BA174545 3 0.0000 0.99071 0.000 0.000 1.000
#> FD223304-87BA-4462-A5E5-01AB8C018C35 1 0.5291 0.67500 0.732 0.268 0.000
#> D8E06D8A-9063-4466-A3B0-7724F4737C7A 1 0.3482 0.73866 0.872 0.128 0.000
#> FFA5FFF7-6301-4CD8-8E63-A4D8294D1B0E 1 0.4605 0.69051 0.796 0.204 0.000
#> AF3648D6-C774-48CC-9428-ADC00402A562 3 0.0000 0.99071 0.000 0.000 1.000
#> BD406B65-B715-444E-95B4-F38D05BAC863 1 0.0000 0.72678 1.000 0.000 0.000
#> 6DB67CA1-0BEB-4585-9867-40E7C8A96D55 2 0.3412 0.77753 0.124 0.876 0.000
#> 49C9DE1D-784D-405A-9DD3-C4D2890D0309 2 0.6225 -0.12282 0.432 0.568 0.000
#> 05EC4D30-D34E-4497-B4F4-80AEDC2E70DF 1 0.6140 0.56706 0.596 0.404 0.000
#> CB69E76B-7CD3-49EF-9ADF-75701FE1D0A8 1 0.0000 0.72678 1.000 0.000 0.000
#> 103C6E25-A69A-460E-81C0-7437547E1334 1 0.6252 0.44566 0.556 0.444 0.000
#> 2D986DB0-B5A8-42E8-ACB8-926A16FAABD6 2 0.3816 0.76172 0.148 0.852 0.000
#> 1B9A0F24-8A3F-4693-B09C-5F0EFE5A32A5 2 0.6045 0.10286 0.380 0.620 0.000
#> C064D1FE-753E-4493-907C-C5FFE19F9875 2 0.1411 0.78608 0.036 0.964 0.000
#> 71596860-AEFA-4B94-8ADE-AC33CEA24DD4 1 0.4654 0.69717 0.792 0.208 0.000
#> E9A3A454-AB4D-4683-B276-84DA43792DBB 1 0.0000 0.72678 1.000 0.000 0.000
#> C5717869-8413-4810-A042-32E949AD3B0A 1 0.1289 0.73540 0.968 0.032 0.000
#> F36B393E-859C-49F8-BDF4-ED2CEF4C6307 1 0.4605 0.69894 0.796 0.204 0.000
#> 4CC9D3F9-983F-4CB2-91F1-0FBB86D53DC3 2 0.0000 0.77046 0.000 1.000 0.000
#> D450F074-CA68-49CE-B0B3-F81A91D54867 1 0.5363 0.65246 0.724 0.276 0.000
#> 2BBD504E-FE90-4142-9204-0E33B6B56C7E 1 0.5291 0.63690 0.732 0.268 0.000
#> 1A457CBF-24DA-44F1-B9ED-F26B8D1245D4 1 0.4235 0.67674 0.824 0.176 0.000
#> F29B5A39-866E-4C9D-BC26-B726FEA5F576 1 0.6260 0.51605 0.552 0.448 0.000
#> 89A4972A-8C91-4272-96BE-BCA9BC447780 1 0.6062 0.45977 0.616 0.384 0.000
#> 70B014FD-A0D0-418C-B55F-D09BAE213D52 2 0.3752 0.76446 0.144 0.856 0.000
#> 8139F417-0548-40B4-851F-A4E149A2E06A 2 0.5835 0.21316 0.340 0.660 0.000
#> 6E9F0021-FA91-4516-9B04-6A978034CECF 2 0.3267 0.76484 0.116 0.884 0.000
#> 49DAF1CD-8E20-433B-91A7-8C885ACB21A5 1 0.4796 0.67864 0.780 0.220 0.000
#> 093765A6-145C-47C3-B87B-4560CD632B4C 2 0.0000 0.77046 0.000 1.000 0.000
#> 90731001-45B2-4601-93F5-064BDD519A30 3 0.0000 0.99071 0.000 0.000 1.000
#> 40BCB65D-BC26-4FEF-941F-6F4A42D475EB 2 0.1031 0.78218 0.024 0.976 0.000
#> 204317C4-B927-4CAC-AADF-E16D19410ADB 2 0.4178 0.75440 0.172 0.828 0.000
#> 1023707A-D6DE-432A-AD2D-2318C3F91FA2 2 0.4555 0.73080 0.200 0.800 0.000
#> 06F79E8E-50E3-485A-82E9-C7CD4C72333B 2 0.3267 0.77928 0.116 0.884 0.000
#> BFAF5464-D239-4A03-AC34-984DEBA84451 1 0.5138 0.64962 0.748 0.252 0.000
#> 96C7C73E-F3E1-4937-A267-B7DAAD8EDE37 1 0.2261 0.72196 0.932 0.068 0.000
#> 1D94B33B-9A3F-40BA-90AF-5248ED058C6F 1 0.5785 0.50035 0.668 0.332 0.000
#> 3407B68D-0277-465B-8819-10FAE3EE6572 3 0.0000 0.99071 0.000 0.000 1.000
#> 868CD0D0-1CB4-4F61-B4ED-EB0C93DD950F 1 0.2356 0.74338 0.928 0.072 0.000
#> 823383C2-6F4D-4C0C-8640-3981A7ED1226 2 0.5859 0.14879 0.344 0.656 0.000
#> 95B76301-6382-4F6E-9E09-60EEFEEA03D5 1 0.6168 0.39077 0.588 0.412 0.000
#> 50A46A4F-883E-4DAA-BD16-FCCC5FA3FCD9 2 0.6309 -0.15577 0.496 0.504 0.000
#> 5037DC80-5E81-4281-89A0-E0B58071B1D9 1 0.6140 0.56706 0.596 0.404 0.000
#> 6A228156-7365-4A4D-8E66-AA687BF37A24 1 0.6140 0.56706 0.596 0.404 0.000
#> 868C82CD-CB45-4EC9-96A8-77F0F4E0D874 2 0.4702 0.64518 0.212 0.788 0.000
#> 28F5861F-7081-4CE8-A917-941FCB6206FA 2 0.3038 0.78252 0.104 0.896 0.000
#> 1ED41271-3AA4-43F1-B43C-0D5C4F918FB8 1 0.4346 0.72008 0.816 0.184 0.000
#> 5A879DD8-EB7F-4EB6-9A9A-6D62438D8B95 2 0.2261 0.79195 0.068 0.932 0.000
#> 8B55B4E4-9222-4F69-AD4A-A92AC948F05E 2 0.0424 0.77501 0.008 0.992 0.000
#> 1DCE9448-495E-46D3-8953-D733BD68DFE6 1 0.3192 0.69780 0.888 0.112 0.000
#> C922BF2A-2A98-47CC-9127-1C1A2E38A6B6 1 0.6140 0.56706 0.596 0.404 0.000
#> 3C14A318-E9ED-4383-9F57-E227D478B450 1 0.2537 0.73255 0.920 0.080 0.000
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#> BEE081CA-8420-4314-88A0-286BB30FFD65 1 0.2066 0.73716 0.940 0.060 0.000
#> C464CD1D-4519-48E8-A18A-403F691E5702 1 0.6111 0.58718 0.604 0.396 0.000
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.6140 0.56706 0.596 0.404 0.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 1 0.4974 0.68024 0.764 0.236 0.000
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.2261 0.79195 0.068 0.932 0.000
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.5678 0.64345 0.684 0.316 0.000
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 2 0.6274 -0.20768 0.456 0.544 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.1824 0.551253 0.004 0.936 0.000 0.060
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 4 0.2973 0.606649 0.096 0.020 0.000 0.884
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 2 0.7852 -0.053349 0.332 0.392 0.000 0.276
#> 91202998-760F-4421-B1C4-18639962EDDA 1 0.6007 0.557564 0.604 0.056 0.000 0.340
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.4522 0.385659 0.000 0.680 0.000 0.320
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 4 0.1716 0.619441 0.064 0.000 0.000 0.936
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 4 0.4855 0.102178 0.400 0.000 0.000 0.600
#> 54337CE9-6F12-4712-8131-4B83F3216343 4 0.5130 0.369310 0.020 0.312 0.000 0.668
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 4 0.4967 0.066242 0.000 0.452 0.000 0.548
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 4 0.5167 -0.011334 0.004 0.488 0.000 0.508
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 4 0.3726 0.509458 0.212 0.000 0.000 0.788
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.5041 0.533003 0.040 0.000 0.728 0.232
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 4 0.7003 0.099066 0.116 0.424 0.000 0.460
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 4 0.7016 0.258588 0.140 0.320 0.000 0.540
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0000 0.971083 0.000 0.000 1.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.1389 0.571059 0.000 0.952 0.000 0.048
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 2 0.7714 -0.078106 0.316 0.440 0.000 0.244
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 4 0.1792 0.616437 0.068 0.000 0.000 0.932
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 4 0.2589 0.612544 0.116 0.000 0.000 0.884
#> A08E2707-DDB0-40FE-828F-14720768FB05 2 0.6897 0.197783 0.256 0.584 0.000 0.160
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.1940 0.536605 0.000 0.924 0.000 0.076
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 4 0.6366 0.126867 0.064 0.424 0.000 0.512
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 2 0.4998 0.395459 0.200 0.748 0.000 0.052
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 1 0.3569 0.608103 0.804 0.000 0.000 0.196
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 4 0.5040 0.246591 0.008 0.364 0.000 0.628
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 4 0.5150 -0.244004 0.396 0.008 0.000 0.596
#> 1139D935-739E-4C42-BFCB-06021A85932E 4 0.5607 -0.025611 0.020 0.488 0.000 0.492
#> 591C91F1-AA70-44DC-B721-0E781C333359 4 0.6253 0.128921 0.060 0.396 0.000 0.544
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.0000 0.971083 0.000 0.000 1.000 0.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.4482 0.463432 0.008 0.728 0.000 0.264
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 4 0.2011 0.618744 0.080 0.000 0.000 0.920
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 2 0.3626 0.478223 0.004 0.812 0.000 0.184
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 4 0.5143 0.038193 0.004 0.456 0.000 0.540
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.4800 0.361399 0.004 0.656 0.000 0.340
#> 2846A3AC-D102-4E37-9B72-139ED727157A 2 0.5488 0.141063 0.016 0.532 0.000 0.452
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.0524 0.563910 0.004 0.988 0.000 0.008
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 2 0.7647 -0.350810 0.388 0.404 0.000 0.208
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.6393 0.471609 0.480 0.064 0.000 0.456
#> 150F5B77-4848-4D68-800A-0A0236C3661F 4 0.4482 0.455604 0.008 0.264 0.000 0.728
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 2 0.7678 -0.044400 0.332 0.440 0.000 0.228
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.5039 0.271819 0.004 0.592 0.000 0.404
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.4677 0.390569 0.004 0.680 0.000 0.316
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 1 0.5721 0.591741 0.660 0.056 0.000 0.284
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 4 0.0921 0.627949 0.028 0.000 0.000 0.972
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.0000 0.565032 0.000 1.000 0.000 0.000
#> 1447B543-D3AC-41B5-878F-B382FE49421B 2 0.6797 0.167740 0.160 0.600 0.000 0.240
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 2 0.0804 0.564824 0.008 0.980 0.000 0.012
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 4 0.3372 0.606238 0.036 0.096 0.000 0.868
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.0000 0.971083 0.000 0.000 1.000 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 4 0.6215 0.493173 0.192 0.140 0.000 0.668
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 4 0.4222 0.439839 0.272 0.000 0.000 0.728
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 2 0.7752 -0.105234 0.300 0.436 0.000 0.264
#> D9225689-21E0-478A-8F79-C26542938B8D 4 0.2282 0.617136 0.024 0.052 0.000 0.924
#> FC3BA46D-57F6-424C-8D62-16C441035969 4 0.1716 0.631214 0.000 0.064 0.000 0.936
#> 045CFFE6-4736-42F2-9340-C37690E47882 3 0.0000 0.971083 0.000 0.000 1.000 0.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 4 0.4933 -0.331888 0.432 0.000 0.000 0.568
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 2 0.0779 0.563683 0.004 0.980 0.000 0.016
#> E94B217F-C5DC-4F42-8135-E81F338914B5 4 0.2149 0.616811 0.088 0.000 0.000 0.912
#> AE4C3956-76DF-4059-8D69-3D764F31817F 2 0.5137 0.165370 0.004 0.544 0.000 0.452
#> 33D6A38E-CD99-437B-99E0-04E72582F777 4 0.2149 0.618608 0.088 0.000 0.000 0.912
#> 8379051C-5847-42B5-AC5C-A128C166AB97 4 0.4134 0.499097 0.260 0.000 0.000 0.740
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 4 0.3216 0.608015 0.076 0.044 0.000 0.880
#> 40A16429-229E-4F40-BFC7-263554438F99 4 0.1406 0.631665 0.016 0.024 0.000 0.960
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 4 0.1182 0.631706 0.016 0.016 0.000 0.968
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 4 0.1637 0.624298 0.060 0.000 0.000 0.940
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 1 0.5860 0.532925 0.580 0.040 0.000 0.380
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 4 0.4295 0.501603 0.240 0.008 0.000 0.752
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.0000 0.565032 0.000 1.000 0.000 0.000
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 4 0.3873 0.514142 0.228 0.000 0.000 0.772
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 4 0.3688 0.512033 0.208 0.000 0.000 0.792
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 4 0.2469 0.595301 0.108 0.000 0.000 0.892
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.5161 0.146646 0.004 0.520 0.000 0.476
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 4 0.5298 0.234111 0.016 0.372 0.000 0.612
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 4 0.4088 0.502574 0.232 0.004 0.000 0.764
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 2 0.1545 0.550288 0.040 0.952 0.000 0.008
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 4 0.1637 0.622101 0.060 0.000 0.000 0.940
#> FDB47AC4-CE6A-428B-9B55-EBCEF1970ACB 4 0.1557 0.621881 0.056 0.000 0.000 0.944
#> 133B7E7B-FD50-48A2-9A35-E6D44FAB976B 2 0.5503 0.094603 0.016 0.516 0.000 0.468
#> E69E45DA-66A6-438A-9BFC-5F1F7F5C5A87 4 0.4250 0.427943 0.276 0.000 0.000 0.724
#> 6E242DF5-8B8B-4C6F-870E-C7ADFFAFDF3E 4 0.5119 0.084795 0.004 0.440 0.000 0.556
#> CB7BBFF1-4BF3-42A9-85C6-680D91503799 1 0.6764 0.454474 0.500 0.096 0.000 0.404
#> 70AA4670-C75B-4E39-8958-3F9C29811871 4 0.1302 0.626300 0.044 0.000 0.000 0.956
#> D63C5178-4FF7-4FD0-B87E-6CBF6E7BEF5B 2 0.4950 0.322642 0.004 0.620 0.000 0.376
#> 814391F8-C5B9-43F6-A330-A6749BB8F16E 4 0.3505 0.604102 0.048 0.088 0.000 0.864
#> 146ED7EA-BF3C-4BAB-B33C-0A668AB13C80 4 0.4331 0.391365 0.288 0.000 0.000 0.712
#> FD5CAFE8-E669-406A-A505-A47DCDC32E93 4 0.3873 0.502377 0.228 0.000 0.000 0.772
#> 4B3C7910-A652-45B5-8218-9002EB0FD9EB 4 0.1209 0.633775 0.004 0.032 0.000 0.964
#> E410F77D-E31F-4D73-ACAC-9245935A92F5 4 0.5364 -0.285948 0.392 0.016 0.000 0.592
#> 64336403-9037-480C-873A-67BC77119FA5 2 0.4804 0.309256 0.000 0.616 0.000 0.384
#> 6F9D5013-3B1B-41EE-85DB-E51F5D828DEF 4 0.3383 0.595646 0.076 0.052 0.000 0.872
#> 155AEBBD-1C12-4F88-90C7-1C7FF7E3FB2C 4 0.3837 0.520228 0.224 0.000 0.000 0.776
#> D28DDCAA-682C-451F-8327-D2C2AFB044E2 2 0.5193 0.275027 0.008 0.580 0.000 0.412
#> 171523DC-2713-4EBF-A115-53A0BA174545 3 0.0000 0.971083 0.000 0.000 1.000 0.000
#> FD223304-87BA-4462-A5E5-01AB8C018C35 1 0.5310 0.513795 0.576 0.012 0.000 0.412
#> D8E06D8A-9063-4466-A3B0-7724F4737C7A 4 0.1940 0.619469 0.076 0.000 0.000 0.924
#> FFA5FFF7-6301-4CD8-8E63-A4D8294D1B0E 4 0.4040 0.219449 0.248 0.000 0.000 0.752
#> AF3648D6-C774-48CC-9428-ADC00402A562 3 0.0000 0.971083 0.000 0.000 1.000 0.000
#> BD406B65-B715-444E-95B4-F38D05BAC863 1 0.5000 0.154712 0.504 0.000 0.000 0.496
#> 6DB67CA1-0BEB-4585-9867-40E7C8A96D55 2 0.4830 0.292844 0.000 0.608 0.000 0.392
#> 49C9DE1D-784D-405A-9DD3-C4D2890D0309 2 0.5113 0.311588 0.292 0.684 0.000 0.024
#> 05EC4D30-D34E-4497-B4F4-80AEDC2E70DF 2 0.7721 -0.082466 0.312 0.440 0.000 0.248
#> CB69E76B-7CD3-49EF-9ADF-75701FE1D0A8 4 0.4103 0.470811 0.256 0.000 0.000 0.744
#> 103C6E25-A69A-460E-81C0-7437547E1334 1 0.7828 -0.110595 0.396 0.340 0.000 0.264
#> 2D986DB0-B5A8-42E8-ACB8-926A16FAABD6 2 0.5151 0.134245 0.004 0.532 0.000 0.464
#> 1B9A0F24-8A3F-4693-B09C-5F0EFE5A32A5 2 0.1406 0.555042 0.016 0.960 0.000 0.024
#> C064D1FE-753E-4493-907C-C5FFE19F9875 2 0.0000 0.565032 0.000 1.000 0.000 0.000
#> 71596860-AEFA-4B94-8ADE-AC33CEA24DD4 4 0.3219 0.539869 0.164 0.000 0.000 0.836
#> E9A3A454-AB4D-4683-B276-84DA43792DBB 1 0.5560 0.492202 0.584 0.024 0.000 0.392
#> C5717869-8413-4810-A042-32E949AD3B0A 4 0.3105 0.588268 0.140 0.000 0.004 0.856
#> F36B393E-859C-49F8-BDF4-ED2CEF4C6307 4 0.2722 0.609969 0.032 0.064 0.000 0.904
#> 4CC9D3F9-983F-4CB2-91F1-0FBB86D53DC3 2 0.0000 0.565032 0.000 1.000 0.000 0.000
#> D450F074-CA68-49CE-B0B3-F81A91D54867 4 0.2741 0.606649 0.096 0.012 0.000 0.892
#> 2BBD504E-FE90-4142-9204-0E33B6B56C7E 4 0.3224 0.604515 0.016 0.120 0.000 0.864
#> 1A457CBF-24DA-44F1-B9ED-F26B8D1245D4 4 0.3215 0.627409 0.032 0.092 0.000 0.876
#> F29B5A39-866E-4C9D-BC26-B726FEA5F576 2 0.7607 0.000916 0.292 0.472 0.000 0.236
#> 89A4972A-8C91-4272-96BE-BCA9BC447780 4 0.5152 0.345600 0.020 0.316 0.000 0.664
#> 70B014FD-A0D0-418C-B55F-D09BAE213D52 2 0.4978 0.314855 0.004 0.612 0.000 0.384
#> 8139F417-0548-40B4-851F-A4E149A2E06A 2 0.2949 0.513744 0.088 0.888 0.000 0.024
#> 6E9F0021-FA91-4516-9B04-6A978034CECF 2 0.3649 0.422254 0.000 0.796 0.000 0.204
#> 49DAF1CD-8E20-433B-91A7-8C885ACB21A5 4 0.7714 -0.216719 0.376 0.224 0.000 0.400
#> 093765A6-145C-47C3-B87B-4560CD632B4C 2 0.0469 0.567752 0.000 0.988 0.000 0.012
#> 90731001-45B2-4601-93F5-064BDD519A30 3 0.0000 0.971083 0.000 0.000 1.000 0.000
#> 40BCB65D-BC26-4FEF-941F-6F4A42D475EB 2 0.0000 0.565032 0.000 1.000 0.000 0.000
#> 204317C4-B927-4CAC-AADF-E16D19410ADB 2 0.4855 0.285397 0.000 0.600 0.000 0.400
#> 1023707A-D6DE-432A-AD2D-2318C3F91FA2 2 0.5161 0.099964 0.004 0.520 0.000 0.476
#> 06F79E8E-50E3-485A-82E9-C7CD4C72333B 2 0.4950 0.312196 0.004 0.620 0.000 0.376
#> BFAF5464-D239-4A03-AC34-984DEBA84451 4 0.3080 0.609095 0.024 0.096 0.000 0.880
#> 96C7C73E-F3E1-4937-A267-B7DAAD8EDE37 4 0.3688 0.512033 0.208 0.000 0.000 0.792
#> 1D94B33B-9A3F-40BA-90AF-5248ED058C6F 4 0.5713 0.255924 0.036 0.360 0.000 0.604
#> 3407B68D-0277-465B-8819-10FAE3EE6572 3 0.0188 0.965780 0.000 0.000 0.996 0.004
#> 868CD0D0-1CB4-4F61-B4ED-EB0C93DD950F 4 0.0707 0.626809 0.020 0.000 0.000 0.980
#> 823383C2-6F4D-4C0C-8640-3981A7ED1226 2 0.5366 0.319702 0.276 0.684 0.000 0.040
#> 95B76301-6382-4F6E-9E09-60EEFEEA03D5 4 0.4139 0.565062 0.024 0.176 0.000 0.800
#> 50A46A4F-883E-4DAA-BD16-FCCC5FA3FCD9 4 0.4989 0.019078 0.000 0.472 0.000 0.528
#> 5037DC80-5E81-4281-89A0-E0B58071B1D9 2 0.7654 -0.037329 0.340 0.440 0.000 0.220
#> 6A228156-7365-4A4D-8E66-AA687BF37A24 2 0.7678 -0.044400 0.332 0.440 0.000 0.228
#> 868C82CD-CB45-4EC9-96A8-77F0F4E0D874 2 0.4804 0.297430 0.000 0.616 0.000 0.384
#> 28F5861F-7081-4CE8-A917-941FCB6206FA 2 0.4790 0.336155 0.000 0.620 0.000 0.380
#> 1ED41271-3AA4-43F1-B43C-0D5C4F918FB8 4 0.1305 0.628232 0.036 0.004 0.000 0.960
#> 5A879DD8-EB7F-4EB6-9A9A-6D62438D8B95 2 0.4250 0.434992 0.000 0.724 0.000 0.276
#> 8B55B4E4-9222-4F69-AD4A-A92AC948F05E 2 0.0000 0.565032 0.000 1.000 0.000 0.000
#> 1DCE9448-495E-46D3-8953-D733BD68DFE6 4 0.1940 0.619612 0.076 0.000 0.000 0.924
#> C922BF2A-2A98-47CC-9127-1C1A2E38A6B6 2 0.7741 -0.099791 0.296 0.440 0.000 0.264
#> 3C14A318-E9ED-4383-9F57-E227D478B450 1 0.6613 0.544871 0.560 0.096 0.000 0.344
#> 183B0920-7505-4B65-A940-97021F11DDC1 2 0.2805 0.512328 0.100 0.888 0.000 0.012
#> CF8B38D4-717B-4F8A-8DA4-8B721E6DFB1C 2 0.0000 0.565032 0.000 1.000 0.000 0.000
#> 0C7BEFDE-507E-43B2-938D-5695FE462875 4 0.5536 -0.282239 0.384 0.024 0.000 0.592
#> 940D45CC-1300-4E92-A79A-6EDC8118E9E2 1 0.7835 0.443344 0.396 0.336 0.000 0.268
#> 772D02BF-D8A6-4C99-8C82-5902DEB3A067 4 0.1820 0.631139 0.020 0.036 0.000 0.944
#> F5D71464-EFD6-4922-9BC9-2620A90DA6F4 2 0.5399 0.110981 0.012 0.520 0.000 0.468
#> 7C8BDCBF-68D3-4E03-B2D3-31D12CE2784D 2 0.5607 0.060700 0.020 0.496 0.000 0.484
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#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 4 0.5130 0.329189 0.016 0.332 0.000 0.652
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.0000 0.971083 0.000 0.000 1.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 2 0.7627 -0.023802 0.292 0.468 0.000 0.240
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.0000 0.971083 0.000 0.000 1.000 0.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 4 0.3649 0.515169 0.204 0.000 0.000 0.796
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.0000 0.971083 0.000 0.000 1.000 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.3105 0.540906 0.004 0.856 0.000 0.140
#> FC7821F4-6495-4545-A22A-764BB99B3F79 1 0.7634 -0.050368 0.444 0.340 0.000 0.216
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.5296 0.050638 0.008 0.496 0.000 0.496
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 4 0.3128 0.599306 0.076 0.040 0.000 0.884
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 4 0.0817 0.630527 0.024 0.000 0.000 0.976
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.4713 0.345781 0.000 0.640 0.000 0.360
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 2 0.5856 0.106007 0.032 0.504 0.000 0.464
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 4 0.2408 0.601090 0.104 0.000 0.000 0.896
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.3024 0.534243 0.000 0.852 0.000 0.148
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0000 0.971083 0.000 0.000 1.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 4 0.4830 -0.204979 0.392 0.000 0.000 0.608
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 4 0.4992 -0.015983 0.000 0.476 0.000 0.524
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 1 0.5773 0.573873 0.632 0.048 0.000 0.320
#> BEE081CA-8420-4314-88A0-286BB30FFD65 4 0.2596 0.614043 0.068 0.024 0.000 0.908
#> C464CD1D-4519-48E8-A18A-403F691E5702 4 0.6282 0.214963 0.160 0.176 0.000 0.664
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 2 0.7738 -0.092083 0.312 0.436 0.000 0.252
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 4 0.0927 0.633223 0.008 0.016 0.000 0.976
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.1389 0.570462 0.000 0.952 0.000 0.048
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.4963 0.549939 0.696 0.020 0.000 0.284
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 2 0.5384 0.268795 0.324 0.648 0.000 0.028
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 1 0.4268 0.37517 0.648 0.344 0.000 0.008 0.000
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 5 0.4024 0.65650 0.000 0.220 0.000 0.028 0.752
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 5 0.7813 -0.09367 0.088 0.328 0.000 0.184 0.400
#> 91202998-760F-4421-B1C4-18639962EDDA 4 0.4454 0.61629 0.020 0.008 0.000 0.704 0.268
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.6201 0.25859 0.380 0.500 0.000 0.008 0.112
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 5 0.4764 0.66865 0.052 0.224 0.000 0.008 0.716
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 5 0.4573 0.11630 0.004 0.028 0.000 0.280 0.688
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.4372 0.51152 0.128 0.780 0.000 0.008 0.084
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.5745 0.40139 0.132 0.640 0.000 0.008 0.220
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.3242 0.51828 0.000 0.784 0.000 0.000 0.216
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 5 0.5819 0.46226 0.004 0.144 0.000 0.232 0.620
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.4981 0.55639 0.120 0.000 0.708 0.000 0.172
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 2 0.5779 0.25888 0.000 0.508 0.000 0.092 0.400
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 5 0.7663 0.03713 0.280 0.312 0.000 0.048 0.360
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0162 0.96860 0.000 0.000 0.996 0.000 0.004
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.4876 0.00536 0.436 0.544 0.000 0.008 0.012
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.3555 0.47437 0.824 0.000 0.000 0.052 0.124
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 5 0.4114 0.65835 0.000 0.272 0.000 0.016 0.712
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 5 0.5160 0.65396 0.060 0.288 0.000 0.004 0.648
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.2742 0.58366 0.892 0.068 0.000 0.020 0.020
#> D7A50E95-777C-47A6-8F93-031CB4770633 1 0.4954 0.36532 0.616 0.352 0.000 0.020 0.012
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.5838 0.33537 0.016 0.548 0.000 0.064 0.372
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 1 0.4854 0.44954 0.672 0.288 0.000 0.016 0.024
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 4 0.5367 0.60203 0.184 0.000 0.000 0.668 0.148
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.6281 0.28364 0.144 0.544 0.000 0.008 0.304
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 5 0.5919 0.02772 0.108 0.024 0.000 0.228 0.640
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.4210 0.48675 0.000 0.740 0.000 0.036 0.224
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.5216 0.52023 0.180 0.716 0.000 0.024 0.080
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.0000 0.96980 0.000 0.000 1.000 0.000 0.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.6461 0.30904 0.372 0.444 0.000 0.000 0.184
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 5 0.4347 0.66503 0.024 0.256 0.000 0.004 0.716
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 1 0.5832 0.21384 0.560 0.340 0.000 0.004 0.096
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.3690 0.58024 0.112 0.828 0.000 0.008 0.052
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.3039 0.37736 0.192 0.808 0.000 0.000 0.000
#> 2846A3AC-D102-4E37-9B72-139ED727157A 2 0.3684 0.47171 0.000 0.720 0.000 0.000 0.280
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 1 0.4564 0.30713 0.600 0.388 0.000 0.008 0.004
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 1 0.5828 0.01933 0.484 0.004 0.000 0.432 0.080
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 4 0.6509 0.48474 0.160 0.008 0.000 0.492 0.340
#> 150F5B77-4848-4D68-800A-0A0236C3661F 2 0.6233 0.25953 0.136 0.584 0.000 0.016 0.264
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.2251 0.52105 0.916 0.008 0.000 0.052 0.024
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.0000 0.59130 0.000 1.000 0.000 0.000 0.000
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.3730 0.21039 0.288 0.712 0.000 0.000 0.000
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 4 0.4336 0.63571 0.052 0.008 0.000 0.768 0.172
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 5 0.4848 0.57995 0.164 0.092 0.000 0.008 0.736
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 1 0.4659 0.27530 0.500 0.488 0.000 0.012 0.000
#> 1447B543-D3AC-41B5-878F-B382FE49421B 1 0.3718 0.57005 0.824 0.120 0.000 0.008 0.048
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 1 0.4977 0.32848 0.532 0.444 0.000 0.016 0.008
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 5 0.5018 0.65332 0.052 0.284 0.000 0.004 0.660
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.0000 0.96980 0.000 0.000 1.000 0.000 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 5 0.4822 0.61020 0.004 0.332 0.000 0.028 0.636
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 5 0.5225 0.25899 0.004 0.100 0.000 0.212 0.684
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.4021 0.44025 0.780 0.000 0.000 0.052 0.168
#> D9225689-21E0-478A-8F79-C26542938B8D 5 0.5673 0.63843 0.132 0.252 0.000 0.000 0.616
#> FC3BA46D-57F6-424C-8D62-16C441035969 5 0.6511 0.42904 0.172 0.356 0.000 0.004 0.468
#> 045CFFE6-4736-42F2-9340-C37690E47882 3 0.0000 0.96980 0.000 0.000 1.000 0.000 0.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 5 0.5299 -0.41199 0.040 0.004 0.000 0.436 0.520
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 1 0.5442 0.32380 0.592 0.352 0.000 0.020 0.036
#> E94B217F-C5DC-4F42-8135-E81F338914B5 5 0.6099 0.60885 0.128 0.324 0.000 0.004 0.544
#> AE4C3956-76DF-4059-8D69-3D764F31817F 2 0.2732 0.54856 0.000 0.840 0.000 0.000 0.160
#> 33D6A38E-CD99-437B-99E0-04E72582F777 5 0.4479 0.66273 0.036 0.264 0.000 0.000 0.700
#> 8379051C-5847-42B5-AC5C-A128C166AB97 5 0.6535 0.60756 0.028 0.248 0.000 0.152 0.572
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 5 0.4161 0.66315 0.012 0.236 0.000 0.012 0.740
#> 40A16429-229E-4F40-BFC7-263554438F99 5 0.6416 0.57008 0.156 0.288 0.000 0.012 0.544
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 5 0.5327 0.66465 0.120 0.216 0.000 0.000 0.664
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 5 0.4533 0.66514 0.032 0.260 0.000 0.004 0.704
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 4 0.7099 0.42354 0.236 0.016 0.000 0.380 0.368
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 5 0.6079 0.56196 0.004 0.208 0.000 0.196 0.592
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.4659 -0.26833 0.488 0.500 0.000 0.012 0.000
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 5 0.5729 0.60612 0.000 0.236 0.000 0.148 0.616
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 5 0.6234 0.57238 0.000 0.332 0.000 0.160 0.508
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 2 0.7057 -0.43141 0.256 0.392 0.000 0.012 0.340
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.1671 0.60648 0.076 0.924 0.000 0.000 0.000
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 2 0.5950 0.37917 0.084 0.608 0.000 0.024 0.284
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 5 0.5908 0.55079 0.008 0.184 0.000 0.180 0.628
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 1 0.4976 0.31024 0.504 0.468 0.000 0.028 0.000
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 5 0.6224 0.63694 0.196 0.232 0.000 0.004 0.568
#> FDB47AC4-CE6A-428B-9B55-EBCEF1970ACB 5 0.4509 0.66713 0.044 0.224 0.000 0.004 0.728
#> 133B7E7B-FD50-48A2-9A35-E6D44FAB976B 2 0.5582 0.44993 0.084 0.640 0.000 0.012 0.264
#> E69E45DA-66A6-438A-9BFC-5F1F7F5C5A87 5 0.4986 0.02614 0.004 0.032 0.000 0.356 0.608
#> 6E242DF5-8B8B-4C6F-870E-C7ADFFAFDF3E 2 0.4015 0.53856 0.140 0.800 0.000 0.008 0.052
#> CB7BBFF1-4BF3-42A9-85C6-680D91503799 4 0.6012 0.53339 0.064 0.048 0.000 0.624 0.264
#> 70AA4670-C75B-4E39-8958-3F9C29811871 5 0.6595 0.53691 0.196 0.328 0.000 0.004 0.472
#> D63C5178-4FF7-4FD0-B87E-6CBF6E7BEF5B 2 0.0451 0.59026 0.004 0.988 0.000 0.008 0.000
#> 814391F8-C5B9-43F6-A330-A6749BB8F16E 5 0.4939 0.66157 0.044 0.272 0.000 0.008 0.676
#> 146ED7EA-BF3C-4BAB-B33C-0A668AB13C80 5 0.5024 0.01238 0.004 0.032 0.000 0.368 0.596
#> FD5CAFE8-E669-406A-A505-A47DCDC32E93 5 0.3804 0.37295 0.000 0.044 0.000 0.160 0.796
#> 4B3C7910-A652-45B5-8218-9002EB0FD9EB 5 0.6290 0.53087 0.148 0.332 0.000 0.004 0.516
#> E410F77D-E31F-4D73-ACAC-9245935A92F5 5 0.6202 -0.23739 0.140 0.004 0.000 0.324 0.532
#> 64336403-9037-480C-873A-67BC77119FA5 2 0.5344 0.55136 0.160 0.672 0.000 0.000 0.168
#> 6F9D5013-3B1B-41EE-85DB-E51F5D828DEF 5 0.4050 0.64724 0.036 0.172 0.000 0.008 0.784
#> 155AEBBD-1C12-4F88-90C7-1C7FF7E3FB2C 5 0.5253 0.65491 0.012 0.264 0.000 0.060 0.664
#> D28DDCAA-682C-451F-8327-D2C2AFB044E2 2 0.3481 0.59836 0.100 0.840 0.000 0.004 0.056
#> 171523DC-2713-4EBF-A115-53A0BA174545 3 0.0000 0.96980 0.000 0.000 1.000 0.000 0.000
#> FD223304-87BA-4462-A5E5-01AB8C018C35 5 0.7474 -0.29063 0.216 0.044 0.000 0.348 0.392
#> D8E06D8A-9063-4466-A3B0-7724F4737C7A 5 0.5435 0.64867 0.124 0.204 0.000 0.004 0.668
#> FFA5FFF7-6301-4CD8-8E63-A4D8294D1B0E 5 0.4991 0.39213 0.148 0.020 0.000 0.092 0.740
#> AF3648D6-C774-48CC-9428-ADC00402A562 3 0.0000 0.96980 0.000 0.000 1.000 0.000 0.000
#> BD406B65-B715-444E-95B4-F38D05BAC863 5 0.6893 0.51823 0.068 0.164 0.000 0.188 0.580
#> 6DB67CA1-0BEB-4585-9867-40E7C8A96D55 2 0.0324 0.59192 0.004 0.992 0.000 0.000 0.004
#> 49C9DE1D-784D-405A-9DD3-C4D2890D0309 1 0.4037 0.55168 0.784 0.176 0.000 0.028 0.012
#> 05EC4D30-D34E-4497-B4F4-80AEDC2E70DF 1 0.3359 0.48002 0.840 0.000 0.000 0.052 0.108
#> CB69E76B-7CD3-49EF-9ADF-75701FE1D0A8 5 0.5118 0.01924 0.004 0.036 0.000 0.376 0.584
#> 103C6E25-A69A-460E-81C0-7437547E1334 1 0.7578 0.04242 0.428 0.348 0.000 0.124 0.100
#> 2D986DB0-B5A8-42E8-ACB8-926A16FAABD6 2 0.2420 0.60577 0.088 0.896 0.000 0.008 0.008
#> 1B9A0F24-8A3F-4693-B09C-5F0EFE5A32A5 1 0.5399 0.34552 0.524 0.432 0.000 0.024 0.020
#> C064D1FE-753E-4493-907C-C5FFE19F9875 2 0.4559 -0.25045 0.480 0.512 0.000 0.008 0.000
#> 71596860-AEFA-4B94-8ADE-AC33CEA24DD4 2 0.7049 -0.34033 0.272 0.412 0.000 0.012 0.304
#> E9A3A454-AB4D-4683-B276-84DA43792DBB 4 0.4632 0.58551 0.008 0.024 0.000 0.684 0.284
#> C5717869-8413-4810-A042-32E949AD3B0A 5 0.5786 0.61276 0.168 0.196 0.000 0.004 0.632
#> F36B393E-859C-49F8-BDF4-ED2CEF4C6307 5 0.5136 0.66825 0.064 0.252 0.000 0.008 0.676
#> 4CC9D3F9-983F-4CB2-91F1-0FBB86D53DC3 2 0.4659 -0.27365 0.492 0.496 0.000 0.012 0.000
#> D450F074-CA68-49CE-B0B3-F81A91D54867 5 0.5844 0.62844 0.184 0.208 0.000 0.000 0.608
#> 2BBD504E-FE90-4142-9204-0E33B6B56C7E 2 0.6678 -0.24865 0.160 0.440 0.000 0.012 0.388
#> 1A457CBF-24DA-44F1-B9ED-F26B8D1245D4 5 0.5124 0.41634 0.028 0.484 0.000 0.004 0.484
#> F29B5A39-866E-4C9D-BC26-B726FEA5F576 1 0.2047 0.54609 0.928 0.012 0.000 0.020 0.040
#> 89A4972A-8C91-4272-96BE-BCA9BC447780 2 0.5781 0.39587 0.164 0.632 0.000 0.004 0.200
#> 70B014FD-A0D0-418C-B55F-D09BAE213D52 2 0.2136 0.60516 0.088 0.904 0.000 0.008 0.000
#> 8139F417-0548-40B4-851F-A4E149A2E06A 1 0.4990 0.42795 0.644 0.316 0.000 0.024 0.016
#> 6E9F0021-FA91-4516-9B04-6A978034CECF 1 0.5216 0.41424 0.648 0.292 0.000 0.012 0.048
#> 49DAF1CD-8E20-433B-91A7-8C885ACB21A5 5 0.8393 -0.23154 0.216 0.160 0.000 0.304 0.320
#> 093765A6-145C-47C3-B87B-4560CD632B4C 2 0.4802 -0.25261 0.480 0.504 0.000 0.012 0.004
#> 90731001-45B2-4601-93F5-064BDD519A30 3 0.0324 0.96681 0.004 0.000 0.992 0.000 0.004
#> 40BCB65D-BC26-4FEF-941F-6F4A42D475EB 1 0.4659 0.26817 0.500 0.488 0.000 0.012 0.000
#> 204317C4-B927-4CAC-AADF-E16D19410ADB 2 0.3872 0.59191 0.116 0.816 0.000 0.008 0.060
#> 1023707A-D6DE-432A-AD2D-2318C3F91FA2 2 0.2615 0.60578 0.080 0.892 0.000 0.008 0.020
#> 06F79E8E-50E3-485A-82E9-C7CD4C72333B 2 0.0404 0.58889 0.012 0.988 0.000 0.000 0.000
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#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 2 0.4656 -0.25756 0.480 0.508 0.000 0.012 0.000
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 5 0.5508 0.64819 0.096 0.264 0.000 0.004 0.636
#> B54639CE-F721-4908-B758-309F148AD3C2 5 0.5845 0.43184 0.180 0.112 0.000 0.036 0.672
#> EB4294E1-3FBC-495C-A041-829A654B59C5 3 0.0162 0.96860 0.000 0.000 0.996 0.000 0.004
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 1 0.4751 0.35785 0.564 0.420 0.000 0.008 0.008
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.0451 0.59074 0.008 0.988 0.000 0.004 0.000
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 1 0.5607 0.38501 0.524 0.408 0.000 0.064 0.004
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.0324 0.59001 0.004 0.992 0.000 0.004 0.000
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 4 0.6454 0.47707 0.392 0.012 0.000 0.468 0.128
#> D34036E4-1122-42AE-B20F-F4C8515872A0 2 0.2488 0.57026 0.004 0.872 0.000 0.000 0.124
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 2 0.6265 0.28265 0.212 0.588 0.000 0.012 0.188
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 4 0.4237 0.62645 0.028 0.008 0.000 0.752 0.212
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 3 0.0000 0.96980 0.000 0.000 1.000 0.000 0.000
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.2011 0.53776 0.088 0.908 0.000 0.004 0.000
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.0794 0.58460 0.028 0.972 0.000 0.000 0.000
#> F3C13430-405E-432E-8F3E-0DD18E86087E 2 0.6183 0.49080 0.216 0.576 0.000 0.004 0.204
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.5083 0.52270 0.148 0.712 0.000 0.004 0.136
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 1 0.2331 0.53213 0.908 0.008 0.000 0.016 0.068
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.2074 0.50535 0.104 0.896 0.000 0.000 0.000
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.4730 0.48924 0.128 0.752 0.000 0.008 0.112
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 5 0.7543 0.52595 0.248 0.168 0.000 0.092 0.492
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.4802 -0.25261 0.480 0.504 0.000 0.012 0.004
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.4850 0.47411 0.660 0.304 0.000 0.020 0.016
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 4 0.4066 0.56824 0.000 0.004 0.000 0.672 0.324
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 1 0.5781 -0.34452 0.508 0.008 0.000 0.416 0.068
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.6479 -0.21951 0.164 0.464 0.000 0.004 0.368
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.0000 0.96980 0.000 0.000 1.000 0.000 0.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.0162 0.96860 0.000 0.000 0.996 0.000 0.004
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 2 0.6164 0.21070 0.000 0.476 0.000 0.136 0.388
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 1 0.6708 -0.20994 0.408 0.384 0.000 0.004 0.204
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.4627 -0.15972 0.444 0.544 0.000 0.012 0.000
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 5 0.7463 0.21240 0.220 0.068 0.000 0.224 0.488
#> 343F031B-0095-429D-8212-AD0581DBB05B 4 0.6239 0.19527 0.012 0.108 0.000 0.512 0.368
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 2 0.6881 0.23308 0.140 0.516 0.000 0.040 0.304
#> 03A226C5-398D-41D2-BB72-C97A373CD512 4 0.6177 0.51279 0.304 0.000 0.000 0.532 0.164
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 5 0.5739 0.59776 0.000 0.344 0.000 0.100 0.556
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 5 0.3831 0.52669 0.136 0.044 0.000 0.008 0.812
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 1 0.4714 0.40339 0.644 0.324 0.000 0.032 0.000
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.4659 -0.27365 0.492 0.496 0.000 0.012 0.000
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.5852 0.47350 0.180 0.624 0.000 0.004 0.192
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.4156 0.52735 0.120 0.800 0.000 0.012 0.068
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.0000 0.96980 0.000 0.000 1.000 0.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.2241 0.53325 0.908 0.008 0.000 0.008 0.076
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.0000 0.96980 0.000 0.000 1.000 0.000 0.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 5 0.5506 0.61799 0.004 0.220 0.000 0.120 0.656
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.0162 0.96860 0.000 0.000 0.996 0.000 0.004
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.3949 0.17101 0.300 0.696 0.000 0.004 0.000
#> FC7821F4-6495-4545-A22A-764BB99B3F79 2 0.7701 -0.02263 0.324 0.432 0.000 0.136 0.108
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.3697 0.59245 0.088 0.832 0.000 0.008 0.072
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 5 0.6495 0.61582 0.232 0.244 0.000 0.004 0.520
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 5 0.5600 0.63497 0.116 0.268 0.000 0.000 0.616
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.0671 0.58645 0.016 0.980 0.000 0.004 0.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 2 0.6602 0.35462 0.144 0.552 0.000 0.028 0.276
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 5 0.3887 0.61919 0.008 0.148 0.000 0.040 0.804
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.4959 0.40441 0.240 0.684 0.000 0.000 0.076
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0000 0.96980 0.000 0.000 1.000 0.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 5 0.5324 -0.13058 0.040 0.020 0.000 0.304 0.636
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.5712 0.44184 0.160 0.652 0.000 0.008 0.180
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 4 0.6186 0.54753 0.120 0.008 0.000 0.532 0.340
#> BEE081CA-8420-4314-88A0-286BB30FFD65 5 0.4082 0.64209 0.036 0.164 0.000 0.012 0.788
#> C464CD1D-4519-48E8-A18A-403F691E5702 1 0.7011 -0.14868 0.508 0.072 0.000 0.100 0.320
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.3714 0.45980 0.812 0.000 0.000 0.056 0.132
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 5 0.5566 0.65283 0.140 0.200 0.000 0.004 0.656
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.3366 0.28765 0.232 0.768 0.000 0.000 0.000
#> A563359B-0D55-4826-9229-62A89143C1C6 4 0.6826 0.46054 0.376 0.016 0.000 0.436 0.172
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.4481 0.54334 0.732 0.228 0.000 0.024 0.016
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.6773 -0.32090 0.340 0.360 0.000 0.000 0.040 0.260
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 5 0.1899 0.62358 0.004 0.028 0.000 0.032 0.928 0.008
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 4 0.7667 0.06310 0.024 0.292 0.000 0.396 0.148 0.140
#> 91202998-760F-4421-B1C4-18639962EDDA 4 0.4293 0.58551 0.024 0.000 0.000 0.672 0.292 0.012
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.5029 0.52673 0.184 0.696 0.000 0.000 0.064 0.056
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 5 0.2587 0.62982 0.012 0.048 0.000 0.028 0.896 0.016
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 5 0.4129 0.09686 0.000 0.000 0.000 0.424 0.564 0.012
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.4320 0.53290 0.024 0.724 0.000 0.000 0.216 0.036
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.5022 0.47151 0.020 0.628 0.000 0.008 0.304 0.040
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.3275 0.59372 0.004 0.820 0.000 0.012 0.148 0.016
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 5 0.3411 0.40666 0.004 0.000 0.000 0.232 0.756 0.008
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.3956 0.71592 0.092 0.000 0.788 0.000 0.104 0.016
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 2 0.5155 0.33126 0.004 0.596 0.000 0.328 0.016 0.056
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 5 0.6959 0.19732 0.088 0.100 0.000 0.024 0.484 0.304
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0146 0.97813 0.000 0.000 0.996 0.000 0.000 0.004
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.4900 0.36702 0.292 0.624 0.000 0.000 0.004 0.080
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.0937 0.49292 0.960 0.000 0.000 0.000 0.040 0.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 5 0.2329 0.62641 0.004 0.056 0.000 0.024 0.904 0.012
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 5 0.2568 0.63233 0.016 0.096 0.000 0.000 0.876 0.012
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.6814 -0.34002 0.384 0.204 0.000 0.000 0.056 0.356
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.6876 0.08479 0.300 0.468 0.000 0.004 0.100 0.128
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.5111 0.35866 0.012 0.620 0.000 0.308 0.016 0.044
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 6 0.6895 0.38039 0.344 0.232 0.000 0.000 0.056 0.368
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 4 0.7355 0.35245 0.164 0.000 0.000 0.388 0.164 0.284
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.6666 0.25547 0.068 0.476 0.000 0.016 0.344 0.096
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 5 0.6048 0.00177 0.028 0.012 0.000 0.420 0.456 0.084
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.4576 0.53928 0.004 0.744 0.000 0.112 0.120 0.020
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.3159 0.60223 0.056 0.856 0.000 0.000 0.056 0.032
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.0000 0.97921 0.000 0.000 1.000 0.000 0.000 0.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.7443 -0.11790 0.144 0.372 0.000 0.000 0.244 0.240
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 5 0.2215 0.63383 0.012 0.076 0.000 0.000 0.900 0.012
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 2 0.7627 -0.36151 0.292 0.316 0.000 0.004 0.140 0.248
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.3026 0.59514 0.024 0.856 0.000 0.000 0.092 0.028
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.1766 0.62607 0.028 0.936 0.000 0.004 0.016 0.016
#> 2846A3AC-D102-4E37-9B72-139ED727157A 2 0.4851 0.36308 0.004 0.580 0.000 0.032 0.372 0.012
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.6700 -0.29129 0.344 0.372 0.000 0.000 0.036 0.248
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 1 0.5016 0.24234 0.532 0.000 0.000 0.392 0.076 0.000
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 4 0.6515 0.37872 0.288 0.000 0.000 0.448 0.232 0.032
#> 150F5B77-4848-4D68-800A-0A0236C3661F 2 0.5357 0.47456 0.032 0.648 0.000 0.028 0.256 0.036
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.4504 0.33397 0.652 0.004 0.000 0.000 0.048 0.296
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.0696 0.62713 0.004 0.980 0.000 0.004 0.004 0.008
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.3819 0.49257 0.232 0.740 0.000 0.004 0.004 0.020
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 4 0.5347 0.52015 0.192 0.000 0.000 0.656 0.120 0.032
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 5 0.3681 0.61463 0.144 0.000 0.000 0.048 0.796 0.012
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.5460 0.26785 0.280 0.580 0.000 0.008 0.000 0.132
#> 1447B543-D3AC-41B5-878F-B382FE49421B 1 0.7024 -0.25917 0.408 0.180 0.000 0.000 0.092 0.320
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 6 0.6893 0.41772 0.296 0.300 0.000 0.000 0.048 0.356
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 5 0.4873 0.53401 0.072 0.256 0.000 0.008 0.660 0.004
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.0000 0.97921 0.000 0.000 1.000 0.000 0.000 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 5 0.4563 0.47296 0.008 0.296 0.000 0.020 0.660 0.016
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 4 0.6487 0.01800 0.004 0.136 0.000 0.416 0.400 0.044
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.1461 0.49039 0.940 0.000 0.000 0.000 0.044 0.016
#> D9225689-21E0-478A-8F79-C26542938B8D 5 0.4973 0.62888 0.144 0.108 0.000 0.016 0.716 0.016
#> FC3BA46D-57F6-424C-8D62-16C441035969 5 0.5874 0.55145 0.096 0.168 0.000 0.016 0.652 0.068
#> 045CFFE6-4736-42F2-9340-C37690E47882 3 0.0000 0.97921 0.000 0.000 1.000 0.000 0.000 0.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 4 0.5110 0.46998 0.092 0.004 0.000 0.716 0.124 0.064
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 2 0.6784 0.03719 0.252 0.460 0.000 0.000 0.064 0.224
#> E94B217F-C5DC-4F42-8135-E81F338914B5 5 0.4707 0.53022 0.092 0.228 0.000 0.000 0.676 0.004
#> AE4C3956-76DF-4059-8D69-3D764F31817F 2 0.2755 0.60172 0.000 0.844 0.000 0.004 0.140 0.012
#> 33D6A38E-CD99-437B-99E0-04E72582F777 5 0.2433 0.64002 0.044 0.072 0.000 0.000 0.884 0.000
#> 8379051C-5847-42B5-AC5C-A128C166AB97 5 0.4232 0.58100 0.004 0.096 0.000 0.112 0.772 0.016
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 5 0.2267 0.62760 0.004 0.064 0.000 0.020 0.904 0.008
#> 40A16429-229E-4F40-BFC7-263554438F99 5 0.6354 0.51619 0.092 0.228 0.000 0.032 0.592 0.056
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 5 0.4533 0.63085 0.132 0.080 0.000 0.020 0.756 0.012
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 5 0.3039 0.63650 0.088 0.060 0.000 0.000 0.848 0.004
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 1 0.6781 -0.16801 0.396 0.004 0.000 0.236 0.328 0.036
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 5 0.3232 0.54991 0.004 0.028 0.000 0.140 0.824 0.004
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.4703 0.39290 0.280 0.652 0.000 0.008 0.000 0.060
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 5 0.2923 0.57854 0.004 0.024 0.000 0.108 0.856 0.008
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 5 0.5189 0.43477 0.004 0.248 0.000 0.104 0.636 0.008
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 2 0.6039 -0.18008 0.136 0.476 0.000 0.000 0.364 0.024
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.0922 0.62815 0.024 0.968 0.000 0.000 0.004 0.004
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 2 0.5645 0.46396 0.024 0.640 0.000 0.096 0.220 0.020
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 5 0.3198 0.52136 0.004 0.012 0.000 0.160 0.816 0.008
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 6 0.6892 0.41123 0.292 0.304 0.000 0.000 0.048 0.356
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 5 0.4114 0.63320 0.128 0.044 0.000 0.008 0.788 0.032
#> FDB47AC4-CE6A-428B-9B55-EBCEF1970ACB 5 0.3047 0.61135 0.084 0.000 0.000 0.064 0.848 0.004
#> 133B7E7B-FD50-48A2-9A35-E6D44FAB976B 2 0.6935 0.32179 0.024 0.480 0.000 0.056 0.296 0.144
#> E69E45DA-66A6-438A-9BFC-5F1F7F5C5A87 4 0.4076 0.24349 0.000 0.000 0.000 0.540 0.452 0.008
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#> 4001EE2D-F208-465E-B718-01CCB9BD1C17 2 0.6293 0.05892 0.280 0.504 0.000 0.004 0.024 0.188
#> AFE61E30-D425-40CC-BC57-C210A0D03EFE 1 0.6662 0.01420 0.436 0.000 0.000 0.200 0.048 0.316
#> C06D79D5-4D8A-47D3-97CE-0E9BA204347C 5 0.5803 0.30108 0.016 0.128 0.000 0.272 0.576 0.008
#> 3975BE32-7E20-4EFC-9122-FE468544C5D9 5 0.3516 0.62221 0.088 0.076 0.000 0.008 0.824 0.004
#> 0FDC5030-92FC-44B5-AE62-6EC3EA9290BB 3 0.0146 0.97813 0.000 0.000 0.996 0.000 0.000 0.004
#> 8E3F8687-B00B-4FA9-84F2-F731B169FC45 5 0.7810 0.22779 0.100 0.092 0.000 0.256 0.444 0.108
#> 45CEDF59-BC7A-4D86-8C2D-9A91AC141D30 4 0.5198 0.44649 0.248 0.000 0.000 0.644 0.080 0.028
#> 4043BFE7-72A7-4A95-8CB2-53FDD574B7EA 4 0.2936 0.52794 0.000 0.004 0.000 0.856 0.080 0.060
#> 64D465E7-0DB8-46A1-8BF2-BBF59D23B7EB 2 0.3019 0.62366 0.032 0.856 0.000 0.000 0.020 0.092
#> 9824DFB4-0A1A-4BA4-B2DC-5348DA3D3AE6 2 0.5851 0.22833 0.292 0.568 0.000 0.004 0.032 0.104
#> 50ECFB2A-FF9D-4A8A-91CB-3902D3B670A0 6 0.6865 0.41926 0.300 0.276 0.000 0.000 0.048 0.376
#> 755D805B-B9F4-41D3-ACA7-2BB599C3D529 2 0.6002 0.40264 0.004 0.564 0.000 0.060 0.292 0.080
#> 0BA34100-8588-47B5-A962-4BD1916645B6 1 0.5509 0.26915 0.576 0.000 0.000 0.320 0.040 0.064
#> 9CE2E8D4-1AD1-4546-AD5D-D58193F79096 4 0.5283 0.55998 0.132 0.000 0.000 0.668 0.168 0.032
#> 92D7DB12-B0E0-4072-98FB-34B112E7728D 1 0.7426 -0.14392 0.412 0.000 0.084 0.136 0.332 0.036
#> 79FD2101-0A9A-4EA7-A773-5EA8693138D0 2 0.2684 0.61603 0.024 0.880 0.000 0.000 0.072 0.024
#> A3A8937A-0B0B-4A68-AE68-81DA9CF7F4FB 4 0.3680 0.60638 0.020 0.000 0.000 0.744 0.232 0.004
#> 3EB3C0F8-4CBC-41A7-81E4-4D8A565441A7 5 0.4467 0.12561 0.004 0.028 0.000 0.376 0.592 0.000
#> 77EE3B54-FD7A-4ACF-879C-31667ADCCC5B 2 0.3087 0.55100 0.176 0.808 0.000 0.004 0.000 0.012
#> 327B2123-6DD8-4263-87DE-EE917E911DD4 5 0.3820 0.25925 0.004 0.004 0.000 0.332 0.660 0.000
#> 198A6AD0-79CD-40F5-A622-18AFBE78F2D2 1 0.1367 0.49140 0.944 0.000 0.000 0.000 0.044 0.012
#> EEE29DE1-F88C-4184-B499-5E86E2D252C4 4 0.6377 0.13417 0.372 0.000 0.000 0.376 0.016 0.236
#> 1E95EA22-BC41-4AAE-AFCC-F9281989A785 5 0.8042 0.12015 0.140 0.176 0.000 0.140 0.448 0.096
#> CD3AC0E4-88A9-4084-A2BE-AEE722CF6AA3 1 0.5833 0.07933 0.520 0.064 0.000 0.000 0.056 0.360
#> 8D7FABA2-764D-4795-BB04-D9E69E9792B9 1 0.4392 0.36182 0.708 0.000 0.000 0.004 0.072 0.216
#> DAC07889-EE06-46E0-B1F1-833ECC0A48A9 2 0.2356 0.58592 0.004 0.884 0.000 0.004 0.100 0.008
#> E7B555A3-567B-4A44-8225-D269E73FB50B 5 0.4014 0.60501 0.132 0.000 0.000 0.080 0.776 0.012
#> 3CC95101-C35F-4761-9D41-3C35BD55B37E 5 0.5480 0.39535 0.068 0.360 0.000 0.000 0.544 0.028
#> F62E5A69-5E81-4B2A-8CC0-F4D6E188B187 6 0.4389 0.01912 0.200 0.008 0.000 0.072 0.000 0.720
#> C650633B-A369-4657-8693-FDFBF22BD34E 5 0.5526 0.55348 0.192 0.076 0.000 0.028 0.672 0.032
#> 5E514217-F0DB-49FD-9C5D-EB22628ED297 2 0.3926 0.58760 0.040 0.800 0.000 0.004 0.120 0.036
#> 6E1DB9BF-06FE-48B1-A2D8-EF2CE7591364 2 0.4347 0.40134 0.288 0.668 0.000 0.004 0.000 0.040
#> C9581CE3-58B6-45B4-B4B7-15F555FD84A4 5 0.4569 0.38570 0.096 0.000 0.000 0.200 0.700 0.004
#> F56C26ED-9358-485B-8867-EBA1CAA4E2A7 2 0.6316 0.12715 0.280 0.520 0.000 0.008 0.028 0.164
#> 45CA3F9E-40EE-43A4-AE57-FE51D4003844 2 0.2919 0.61846 0.040 0.872 0.000 0.000 0.044 0.044
#> 47EFA063-19C1-4E1F-ACE8-68D9BAD0B995 5 0.7088 0.24985 0.228 0.020 0.000 0.104 0.508 0.140
#> 8C30EA0F-0DA1-43C7-81AE-DE825A53F114 5 0.2425 0.61771 0.100 0.012 0.000 0.000 0.880 0.008
#> 2CE7477C-DD09-4B3A-AD65-C696BE8C9B11 1 0.0914 0.48902 0.968 0.000 0.000 0.000 0.016 0.016
#> 4DECB19A-290F-4CEB-BE25-AAF9B9E2B58F 1 0.2063 0.46688 0.912 0.008 0.000 0.000 0.020 0.060
#> 3DEA9B14-DF42-43A0-AC4A-32AE7A16218D 4 0.8003 0.08241 0.072 0.108 0.000 0.404 0.264 0.152
#> 9F57D45B-C62F-44C5-AB9D-0CB54BBA16F5 5 0.4086 0.62070 0.116 0.032 0.000 0.012 0.796 0.044
#> 54ACCFD9-A8D6-4E4C-9097-1A0BE258AA1B 6 0.5268 -0.03816 0.268 0.024 0.000 0.072 0.004 0.632
#> 9EE67DE9-9B56-4773-8F6A-1036D31F568E 5 0.3555 0.56209 0.004 0.040 0.000 0.140 0.808 0.008
#> 1B1C9301-D6D6-4F6B-80A3-3603013AA951 5 0.5636 0.39336 0.088 0.364 0.000 0.000 0.524 0.024
#> DDDCDF00-FB0A-477B-891B-2EE5E0C8F61E 3 0.0000 0.97921 0.000 0.000 1.000 0.000 0.000 0.000
#> 34A3260D-AC4D-416F-ADF0-24013048BC46 2 0.6445 0.11069 0.280 0.524 0.000 0.008 0.048 0.140
#> 671C1840-9C1B-4AC1-9564-78802489F763 1 0.0891 0.49137 0.968 0.000 0.000 0.000 0.024 0.008
#> BA4F7841-9FC3-4CE6-ACA5-43FC36641640 6 0.5645 0.15433 0.056 0.244 0.000 0.072 0.004 0.624
#> 24A02CE5-28E7-457E-8B90-4EACA528B072 1 0.5568 0.09373 0.536 0.064 0.000 0.000 0.036 0.364
#> C7008665-F6DE-48B4-A0E7-6C388B72C609 2 0.0837 0.62452 0.000 0.972 0.000 0.004 0.004 0.020
#> 50F984AB-95C1-4D7B-A787-418CBB59D165 5 0.4324 0.55257 0.100 0.068 0.000 0.048 0.780 0.004
#> 5FFD2A6A-ED8A-44A9-9FC1-3106341C284A 2 0.3919 0.57602 0.028 0.804 0.000 0.020 0.124 0.024
#> 7481630E-5CBA-4A4A-A16F-E327BCEE11D3 1 0.6826 -0.34464 0.384 0.208 0.000 0.000 0.056 0.352
#> 7B3E6643-C148-4266-A3A3-80BAB713DD3E 2 0.0551 0.62676 0.004 0.984 0.000 0.000 0.004 0.008
#> BA8564FA-8D4D-4B2F-A178-63209F887A05 1 0.8414 0.04854 0.312 0.004 0.044 0.196 0.196 0.248
#> 2FB578F6-E8B7-434D-9720-D448A26C1EFD 1 0.4065 0.36510 0.724 0.000 0.000 0.000 0.056 0.220
#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 2 0.6702 -0.09850 0.284 0.460 0.000 0.004 0.044 0.208
#> 740FCE46-8A4A-4A6A-B79F-78A63D28E313 2 0.2485 0.60775 0.004 0.884 0.000 0.004 0.088 0.020
#> 523A5832-0C42-44A4-A58F-7011C3A567DC 3 0.0000 0.97921 0.000 0.000 1.000 0.000 0.000 0.000
#> A2C68C81-7371-4E0C-BFD1-EA868A7C9499 2 0.4874 0.34959 0.276 0.636 0.000 0.004 0.000 0.084
#> 2EB7025A-D932-4238-BD60-609B25150029 4 0.6781 0.07892 0.140 0.004 0.000 0.460 0.320 0.076
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 2 0.3272 0.60165 0.020 0.848 0.000 0.008 0.092 0.032
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 2 0.4211 0.52981 0.024 0.720 0.000 0.000 0.232 0.024
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 2 0.4180 0.53317 0.024 0.732 0.000 0.000 0.216 0.028
#> F081EA01-ED14-491B-9620-BF8F10A7431D 5 0.3676 0.62016 0.120 0.008 0.000 0.024 0.816 0.032
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 2 0.4574 0.40592 0.276 0.664 0.000 0.008 0.000 0.052
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 5 0.2685 0.63173 0.016 0.080 0.000 0.004 0.880 0.020
#> B54639CE-F721-4908-B758-309F148AD3C2 5 0.6803 0.37301 0.088 0.032 0.000 0.244 0.544 0.092
#> EB4294E1-3FBC-495C-A041-829A654B59C5 3 0.0146 0.97813 0.000 0.000 0.996 0.000 0.000 0.004
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 6 0.6940 0.41628 0.296 0.304 0.000 0.000 0.052 0.348
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.0717 0.62712 0.000 0.976 0.000 0.000 0.016 0.008
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 6 0.6863 0.40505 0.208 0.312 0.000 0.004 0.052 0.424
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.0291 0.62616 0.000 0.992 0.000 0.000 0.004 0.004
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 1 0.7313 0.16674 0.468 0.012 0.000 0.192 0.128 0.200
#> D34036E4-1122-42AE-B20F-F4C8515872A0 2 0.1605 0.63119 0.000 0.936 0.000 0.004 0.044 0.016
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 2 0.4827 0.47172 0.064 0.696 0.000 0.000 0.208 0.032
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 4 0.5227 0.57512 0.112 0.000 0.000 0.664 0.196 0.028
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 3 0.0000 0.97921 0.000 0.000 1.000 0.000 0.000 0.000
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.1554 0.62343 0.044 0.940 0.000 0.004 0.004 0.008
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.1204 0.62468 0.016 0.960 0.000 0.004 0.004 0.016
#> F3C13430-405E-432E-8F3E-0DD18E86087E 2 0.6366 0.34420 0.044 0.532 0.000 0.004 0.256 0.164
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.3876 0.58858 0.068 0.808 0.000 0.000 0.044 0.080
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 1 0.4396 0.37882 0.704 0.000 0.000 0.000 0.088 0.208
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.1096 0.62506 0.008 0.964 0.000 0.004 0.004 0.020
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.4242 0.51523 0.028 0.736 0.000 0.000 0.204 0.032
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 5 0.6163 0.45376 0.168 0.032 0.000 0.136 0.624 0.040
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.4997 0.35569 0.280 0.628 0.000 0.008 0.000 0.084
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 6 0.6884 0.40639 0.320 0.252 0.000 0.000 0.052 0.376
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 4 0.2094 0.50958 0.000 0.004 0.000 0.908 0.024 0.064
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 1 0.4688 0.44640 0.748 0.000 0.000 0.072 0.092 0.088
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 5 0.6448 0.36908 0.104 0.360 0.000 0.012 0.476 0.048
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.0000 0.97921 0.000 0.000 1.000 0.000 0.000 0.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.0146 0.97813 0.000 0.000 0.996 0.000 0.000 0.004
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 2 0.6520 0.17613 0.000 0.456 0.000 0.356 0.108 0.080
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 2 0.6817 0.11093 0.144 0.400 0.000 0.000 0.372 0.084
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.5645 0.30737 0.212 0.592 0.000 0.008 0.004 0.184
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 5 0.5460 0.35922 0.084 0.052 0.000 0.220 0.644 0.000
#> 343F031B-0095-429D-8212-AD0581DBB05B 4 0.4510 0.47937 0.004 0.024 0.000 0.600 0.368 0.004
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 2 0.7725 0.07391 0.068 0.364 0.000 0.104 0.364 0.100
#> 03A226C5-398D-41D2-BB72-C97A373CD512 6 0.6588 -0.18860 0.328 0.000 0.000 0.096 0.104 0.472
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 5 0.4898 0.42102 0.004 0.304 0.000 0.044 0.632 0.016
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 5 0.4367 0.60418 0.128 0.004 0.000 0.080 0.764 0.024
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 6 0.6856 0.39512 0.320 0.260 0.000 0.000 0.048 0.372
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.6352 0.13776 0.280 0.536 0.000 0.008 0.048 0.128
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.6238 0.39329 0.132 0.584 0.000 0.000 0.192 0.092
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.3300 0.58767 0.020 0.832 0.000 0.000 0.116 0.032
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.0000 0.97921 0.000 0.000 1.000 0.000 0.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.4664 0.36351 0.676 0.004 0.000 0.000 0.084 0.236
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.0000 0.97921 0.000 0.000 1.000 0.000 0.000 0.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 5 0.2817 0.60728 0.004 0.040 0.000 0.076 0.872 0.008
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.0146 0.97813 0.000 0.000 0.996 0.000 0.000 0.004
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.3533 0.49216 0.236 0.748 0.000 0.004 0.000 0.012
#> FC7821F4-6495-4545-A22A-764BB99B3F79 6 0.7419 0.34142 0.132 0.260 0.000 0.028 0.120 0.460
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.3161 0.60277 0.020 0.852 0.000 0.004 0.092 0.032
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 5 0.4853 0.61431 0.100 0.108 0.000 0.008 0.740 0.044
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 5 0.3755 0.64724 0.104 0.076 0.000 0.000 0.804 0.016
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.0653 0.62543 0.000 0.980 0.000 0.004 0.004 0.012
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 2 0.7727 0.16894 0.040 0.380 0.000 0.080 0.292 0.208
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 5 0.2001 0.60500 0.000 0.008 0.000 0.068 0.912 0.012
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.5555 0.39349 0.228 0.636 0.000 0.004 0.040 0.092
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0000 0.97921 0.000 0.000 1.000 0.000 0.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 4 0.5401 0.22947 0.076 0.000 0.000 0.556 0.348 0.020
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.4259 0.57250 0.028 0.744 0.000 0.000 0.188 0.040
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 4 0.6164 0.50230 0.184 0.000 0.000 0.520 0.268 0.028
#> BEE081CA-8420-4314-88A0-286BB30FFD65 5 0.3231 0.61718 0.080 0.024 0.000 0.040 0.852 0.004
#> C464CD1D-4519-48E8-A18A-403F691E5702 5 0.8087 0.10431 0.228 0.072 0.000 0.156 0.412 0.132
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.1196 0.49121 0.952 0.000 0.000 0.000 0.040 0.008
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 5 0.5108 0.60487 0.108 0.092 0.000 0.024 0.732 0.044
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.2809 0.58113 0.128 0.848 0.000 0.004 0.000 0.020
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.8119 0.01736 0.392 0.056 0.000 0.208 0.204 0.140
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.5728 0.13265 0.532 0.056 0.000 0.000 0.056 0.356
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
#> Error in mat[ceiling(1:nr/h_ratio), ceiling(1:nc/w_ratio), drop = FALSE]: subscript out of bounds
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
#> Error in mat[ceiling(1:nr/h_ratio), ceiling(1:nc/w_ratio), drop = FALSE]: subscript out of bounds
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["MAD", "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 17109 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 0.807 0.891 0.955 0.4575 0.548 0.548
#> 3 3 0.544 0.766 0.870 0.3083 0.794 0.652
#> 4 4 0.633 0.700 0.857 0.1962 0.744 0.471
#> 5 5 0.630 0.619 0.813 0.0804 0.857 0.565
#> 6 6 0.678 0.601 0.795 0.0513 0.906 0.630
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
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.0000 0.9515 0.000 1.000
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 2 0.2043 0.9285 0.032 0.968
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 2 0.0000 0.9515 0.000 1.000
#> 91202998-760F-4421-B1C4-18639962EDDA 1 0.0000 0.9498 1.000 0.000
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.0000 0.9515 0.000 1.000
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 2 0.0000 0.9515 0.000 1.000
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 2 0.7299 0.7507 0.204 0.796
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.0000 0.9515 0.000 1.000
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.0000 0.9515 0.000 1.000
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.0000 0.9515 0.000 1.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 1 0.9795 0.2630 0.584 0.416
#> 784B2359-6064-4FAA-9311-7A852F061FBB 1 0.0000 0.9498 1.000 0.000
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 2 0.0000 0.9515 0.000 1.000
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 2 0.0376 0.9490 0.004 0.996
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 1 0.0000 0.9498 1.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.0000 0.9515 0.000 1.000
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.0000 0.9498 1.000 0.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 2 0.0000 0.9515 0.000 1.000
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 2 0.1184 0.9406 0.016 0.984
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.9833 0.2377 0.576 0.424
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.0000 0.9515 0.000 1.000
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.0000 0.9515 0.000 1.000
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 2 0.0000 0.9515 0.000 1.000
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 1 0.0000 0.9498 1.000 0.000
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.0000 0.9515 0.000 1.000
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 2 0.0000 0.9515 0.000 1.000
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.0000 0.9515 0.000 1.000
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.0000 0.9515 0.000 1.000
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 1 0.0000 0.9498 1.000 0.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.0000 0.9515 0.000 1.000
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 2 0.0000 0.9515 0.000 1.000
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 2 0.0000 0.9515 0.000 1.000
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.0000 0.9515 0.000 1.000
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.0000 0.9515 0.000 1.000
#> 2846A3AC-D102-4E37-9B72-139ED727157A 2 0.0000 0.9515 0.000 1.000
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.0000 0.9515 0.000 1.000
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 1 0.0000 0.9498 1.000 0.000
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.0000 0.9498 1.000 0.000
#> 150F5B77-4848-4D68-800A-0A0236C3661F 2 0.0000 0.9515 0.000 1.000
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.0000 0.9498 1.000 0.000
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.0000 0.9515 0.000 1.000
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.0000 0.9515 0.000 1.000
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 1 0.0000 0.9498 1.000 0.000
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 2 0.3584 0.8984 0.068 0.932
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.0000 0.9515 0.000 1.000
#> 1447B543-D3AC-41B5-878F-B382FE49421B 2 0.6887 0.7707 0.184 0.816
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 2 0.0000 0.9515 0.000 1.000
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 2 0.0000 0.9515 0.000 1.000
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 1 0.0000 0.9498 1.000 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 2 0.0000 0.9515 0.000 1.000
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 2 0.0000 0.9515 0.000 1.000
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.0000 0.9498 1.000 0.000
#> D9225689-21E0-478A-8F79-C26542938B8D 2 0.3114 0.9089 0.056 0.944
#> FC3BA46D-57F6-424C-8D62-16C441035969 2 0.0000 0.9515 0.000 1.000
#> 045CFFE6-4736-42F2-9340-C37690E47882 1 0.0000 0.9498 1.000 0.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 1 0.0376 0.9469 0.996 0.004
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 2 0.0000 0.9515 0.000 1.000
#> E94B217F-C5DC-4F42-8135-E81F338914B5 2 0.0000 0.9515 0.000 1.000
#> AE4C3956-76DF-4059-8D69-3D764F31817F 2 0.0000 0.9515 0.000 1.000
#> 33D6A38E-CD99-437B-99E0-04E72582F777 2 0.0000 0.9515 0.000 1.000
#> 8379051C-5847-42B5-AC5C-A128C166AB97 2 0.9732 0.3630 0.404 0.596
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 2 0.2948 0.9122 0.052 0.948
#> 40A16429-229E-4F40-BFC7-263554438F99 2 0.0000 0.9515 0.000 1.000
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 2 0.0000 0.9515 0.000 1.000
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 2 0.8016 0.6930 0.244 0.756
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 1 0.0000 0.9498 1.000 0.000
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 2 0.0672 0.9463 0.008 0.992
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.0000 0.9515 0.000 1.000
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 2 0.9710 0.3738 0.400 0.600
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 2 0.0000 0.9515 0.000 1.000
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 2 0.0000 0.9515 0.000 1.000
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.0000 0.9515 0.000 1.000
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 2 0.0000 0.9515 0.000 1.000
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 2 0.9323 0.4992 0.348 0.652
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 2 0.0000 0.9515 0.000 1.000
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 2 0.0000 0.9515 0.000 1.000
#> FDB47AC4-CE6A-428B-9B55-EBCEF1970ACB 2 0.7219 0.7557 0.200 0.800
#> 133B7E7B-FD50-48A2-9A35-E6D44FAB976B 2 0.0000 0.9515 0.000 1.000
#> E69E45DA-66A6-438A-9BFC-5F1F7F5C5A87 2 0.9954 0.1912 0.460 0.540
#> 6E242DF5-8B8B-4C6F-870E-C7ADFFAFDF3E 2 0.0000 0.9515 0.000 1.000
#> CB7BBFF1-4BF3-42A9-85C6-680D91503799 2 0.9922 0.2315 0.448 0.552
#> 70AA4670-C75B-4E39-8958-3F9C29811871 2 0.0000 0.9515 0.000 1.000
#> D63C5178-4FF7-4FD0-B87E-6CBF6E7BEF5B 2 0.0000 0.9515 0.000 1.000
#> 814391F8-C5B9-43F6-A330-A6749BB8F16E 2 0.0376 0.9490 0.004 0.996
#> 146ED7EA-BF3C-4BAB-B33C-0A668AB13C80 1 1.0000 -0.0329 0.504 0.496
#> FD5CAFE8-E669-406A-A505-A47DCDC32E93 2 0.6343 0.8057 0.160 0.840
#> 4B3C7910-A652-45B5-8218-9002EB0FD9EB 2 0.0000 0.9515 0.000 1.000
#> E410F77D-E31F-4D73-ACAC-9245935A92F5 2 0.7299 0.7504 0.204 0.796
#> 64336403-9037-480C-873A-67BC77119FA5 2 0.0000 0.9515 0.000 1.000
#> 6F9D5013-3B1B-41EE-85DB-E51F5D828DEF 2 0.9686 0.3845 0.396 0.604
#> 155AEBBD-1C12-4F88-90C7-1C7FF7E3FB2C 2 0.3879 0.8914 0.076 0.924
#> D28DDCAA-682C-451F-8327-D2C2AFB044E2 2 0.0000 0.9515 0.000 1.000
#> 171523DC-2713-4EBF-A115-53A0BA174545 1 0.0000 0.9498 1.000 0.000
#> FD223304-87BA-4462-A5E5-01AB8C018C35 1 0.0000 0.9498 1.000 0.000
#> D8E06D8A-9063-4466-A3B0-7724F4737C7A 1 0.6343 0.7953 0.840 0.160
#> FFA5FFF7-6301-4CD8-8E63-A4D8294D1B0E 2 0.0000 0.9515 0.000 1.000
#> AF3648D6-C774-48CC-9428-ADC00402A562 1 0.0000 0.9498 1.000 0.000
#> BD406B65-B715-444E-95B4-F38D05BAC863 1 0.0000 0.9498 1.000 0.000
#> 6DB67CA1-0BEB-4585-9867-40E7C8A96D55 2 0.0000 0.9515 0.000 1.000
#> 49C9DE1D-784D-405A-9DD3-C4D2890D0309 1 0.5737 0.8181 0.864 0.136
#> 05EC4D30-D34E-4497-B4F4-80AEDC2E70DF 1 0.0000 0.9498 1.000 0.000
#> CB69E76B-7CD3-49EF-9ADF-75701FE1D0A8 1 0.9866 0.2119 0.568 0.432
#> 103C6E25-A69A-460E-81C0-7437547E1334 2 0.0000 0.9515 0.000 1.000
#> 2D986DB0-B5A8-42E8-ACB8-926A16FAABD6 2 0.0000 0.9515 0.000 1.000
#> 1B9A0F24-8A3F-4693-B09C-5F0EFE5A32A5 2 0.0000 0.9515 0.000 1.000
#> C064D1FE-753E-4493-907C-C5FFE19F9875 2 0.0000 0.9515 0.000 1.000
#> 71596860-AEFA-4B94-8ADE-AC33CEA24DD4 2 0.0000 0.9515 0.000 1.000
#> E9A3A454-AB4D-4683-B276-84DA43792DBB 1 0.9686 0.3218 0.604 0.396
#> C5717869-8413-4810-A042-32E949AD3B0A 1 0.0000 0.9498 1.000 0.000
#> F36B393E-859C-49F8-BDF4-ED2CEF4C6307 2 0.6048 0.8192 0.148 0.852
#> 4CC9D3F9-983F-4CB2-91F1-0FBB86D53DC3 2 0.0000 0.9515 0.000 1.000
#> D450F074-CA68-49CE-B0B3-F81A91D54867 2 0.9732 0.3630 0.404 0.596
#> 2BBD504E-FE90-4142-9204-0E33B6B56C7E 2 0.0000 0.9515 0.000 1.000
#> 1A457CBF-24DA-44F1-B9ED-F26B8D1245D4 2 0.0000 0.9515 0.000 1.000
#> F29B5A39-866E-4C9D-BC26-B726FEA5F576 1 0.1414 0.9347 0.980 0.020
#> 89A4972A-8C91-4272-96BE-BCA9BC447780 2 0.0000 0.9515 0.000 1.000
#> 70B014FD-A0D0-418C-B55F-D09BAE213D52 2 0.0000 0.9515 0.000 1.000
#> 8139F417-0548-40B4-851F-A4E149A2E06A 2 0.9635 0.3554 0.388 0.612
#> 6E9F0021-FA91-4516-9B04-6A978034CECF 2 0.0672 0.9463 0.008 0.992
#> 49DAF1CD-8E20-433B-91A7-8C885ACB21A5 2 0.0000 0.9515 0.000 1.000
#> 093765A6-145C-47C3-B87B-4560CD632B4C 2 0.0000 0.9515 0.000 1.000
#> 90731001-45B2-4601-93F5-064BDD519A30 1 0.0000 0.9498 1.000 0.000
#> 40BCB65D-BC26-4FEF-941F-6F4A42D475EB 2 0.0000 0.9515 0.000 1.000
#> 204317C4-B927-4CAC-AADF-E16D19410ADB 2 0.0000 0.9515 0.000 1.000
#> 1023707A-D6DE-432A-AD2D-2318C3F91FA2 2 0.0000 0.9515 0.000 1.000
#> 06F79E8E-50E3-485A-82E9-C7CD4C72333B 2 0.0000 0.9515 0.000 1.000
#> BFAF5464-D239-4A03-AC34-984DEBA84451 2 0.0000 0.9515 0.000 1.000
#> 96C7C73E-F3E1-4937-A267-B7DAAD8EDE37 2 0.5059 0.8571 0.112 0.888
#> 1D94B33B-9A3F-40BA-90AF-5248ED058C6F 2 0.0000 0.9515 0.000 1.000
#> 3407B68D-0277-465B-8819-10FAE3EE6572 1 0.0000 0.9498 1.000 0.000
#> 868CD0D0-1CB4-4F61-B4ED-EB0C93DD950F 2 0.6247 0.8103 0.156 0.844
#> 823383C2-6F4D-4C0C-8640-3981A7ED1226 1 0.4431 0.8703 0.908 0.092
#> 95B76301-6382-4F6E-9E09-60EEFEEA03D5 2 0.0000 0.9515 0.000 1.000
#> 50A46A4F-883E-4DAA-BD16-FCCC5FA3FCD9 2 0.0000 0.9515 0.000 1.000
#> 5037DC80-5E81-4281-89A0-E0B58071B1D9 1 0.0000 0.9498 1.000 0.000
#> 6A228156-7365-4A4D-8E66-AA687BF37A24 1 0.0000 0.9498 1.000 0.000
#> 868C82CD-CB45-4EC9-96A8-77F0F4E0D874 2 0.0000 0.9515 0.000 1.000
#> 28F5861F-7081-4CE8-A917-941FCB6206FA 2 0.0000 0.9515 0.000 1.000
#> 1ED41271-3AA4-43F1-B43C-0D5C4F918FB8 2 0.0376 0.9490 0.004 0.996
#> 5A879DD8-EB7F-4EB6-9A9A-6D62438D8B95 2 0.0000 0.9515 0.000 1.000
#> 8B55B4E4-9222-4F69-AD4A-A92AC948F05E 2 0.0000 0.9515 0.000 1.000
#> 1DCE9448-495E-46D3-8953-D733BD68DFE6 2 0.0000 0.9515 0.000 1.000
#> C922BF2A-2A98-47CC-9127-1C1A2E38A6B6 1 0.0000 0.9498 1.000 0.000
#> 3C14A318-E9ED-4383-9F57-E227D478B450 1 0.3274 0.8993 0.940 0.060
#> 183B0920-7505-4B65-A940-97021F11DDC1 2 0.0000 0.9515 0.000 1.000
#> CF8B38D4-717B-4F8A-8DA4-8B721E6DFB1C 2 0.0000 0.9515 0.000 1.000
#> 0C7BEFDE-507E-43B2-938D-5695FE462875 2 0.8386 0.6518 0.268 0.732
#> 940D45CC-1300-4E92-A79A-6EDC8118E9E2 1 0.0000 0.9498 1.000 0.000
#> 772D02BF-D8A6-4C99-8C82-5902DEB3A067 2 0.0000 0.9515 0.000 1.000
#> F5D71464-EFD6-4922-9BC9-2620A90DA6F4 2 0.0000 0.9515 0.000 1.000
#> 7C8BDCBF-68D3-4E03-B2D3-31D12CE2784D 2 0.0000 0.9515 0.000 1.000
#> 9DF2F46F-A133-4892-B895-3102F7ACA5DB 1 0.0000 0.9498 1.000 0.000
#> 8A7A65FE-1A7E-42E5-8A5A-55E7733521DA 2 0.0000 0.9515 0.000 1.000
#> 40566B4F-12CE-4FB2-9A64-4C59EC0793F2 1 0.0000 0.9498 1.000 0.000
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#> 218F1728-2967-447E-9BDD-F78E21265395 2 0.0000 0.9515 0.000 1.000
#> 658AA411-6DEB-46C9-B4D7-7175F7EC1620 1 0.0000 0.9498 1.000 0.000
#> EE0CCBE4-DF69-40F7-91B1-B7E7AC061C5B 1 0.0000 0.9498 1.000 0.000
#> 4FA18EA8-F6EA-40EE-847E-2896BD858C04 2 0.0000 0.9515 0.000 1.000
#> 05A6B3A7-2A08-4700-BC85-9968AD07D2F6 2 0.0000 0.9515 0.000 1.000
#> 5F220E8D-9FF6-43E5-A27D-DA4FC75536E1 1 0.9754 0.2876 0.592 0.408
#> 3D3EA6CC-35F0-416E-9FC8-394D005A2B0B 1 0.0000 0.9498 1.000 0.000
#> B5B13A86-3B16-43AD-B329-2C5AD46A308F 1 0.0000 0.9498 1.000 0.000
#> 2EBC7BE8-627B-4767-A4FE-14E933E40C1C 1 0.0000 0.9498 1.000 0.000
#> E332A10A-4FB0-4122-BB48-3050E0F73502 2 0.0000 0.9515 0.000 1.000
#> 0FF95060-00C3-4B53-B46F-6242872C1465 2 0.0000 0.9515 0.000 1.000
#> 51875568-DA72-4A62-9A19-2A61860B83C3 1 0.8955 0.5463 0.688 0.312
#> C4DB90C8-EB0B-4071-BD4F-EEB37E8ADC26 2 0.0000 0.9515 0.000 1.000
#> 55F8E6BA-AF16-4514-8845-1FCACB758812 1 0.0000 0.9498 1.000 0.000
#> 7F9B2F13-F387-4A54-920A-62C23D9BFB77 2 0.0000 0.9515 0.000 1.000
#> 248E5BD8-0458-43A1-B5D1-BDA14558421F 1 0.0000 0.9498 1.000 0.000
#> B150AB08-9BE5-4DBB-AB30-80C09B319E6D 2 0.0000 0.9515 0.000 1.000
#> 4DC8E477-9AA6-41F7-A7BB-EEEFAFD33256 1 0.0000 0.9498 1.000 0.000
#> 327E0B69-E439-4161-BD58-2E22C5D3A76F 2 0.9866 0.2523 0.432 0.568
#> 50F9B130-6BE8-483C-828F-15445492B631 2 0.0000 0.9515 0.000 1.000
#> D57E89FF-CC54-4FE9-A99B-2E75D407AB91 1 0.3584 0.8915 0.932 0.068
#> 659F3E30-3F80-49AF-9713-824F8D42BA74 1 0.0000 0.9498 1.000 0.000
#> 29E8ADB9-3F5D-497A-9A6B-85218AE2DB14 2 0.4161 0.8844 0.084 0.916
#> 73B58A54-E759-44FE-8B84-70D60C78066D 1 0.7299 0.7221 0.796 0.204
#> 4001EE2D-F208-465E-B718-01CCB9BD1C17 2 0.0000 0.9515 0.000 1.000
#> AFE61E30-D425-40CC-BC57-C210A0D03EFE 1 0.0000 0.9498 1.000 0.000
#> C06D79D5-4D8A-47D3-97CE-0E9BA204347C 2 0.0000 0.9515 0.000 1.000
#> 3975BE32-7E20-4EFC-9122-FE468544C5D9 2 0.1184 0.9406 0.016 0.984
#> 0FDC5030-92FC-44B5-AE62-6EC3EA9290BB 1 0.0000 0.9498 1.000 0.000
#> 8E3F8687-B00B-4FA9-84F2-F731B169FC45 2 0.0000 0.9515 0.000 1.000
#> 45CEDF59-BC7A-4D86-8C2D-9A91AC141D30 1 0.0000 0.9498 1.000 0.000
#> 4043BFE7-72A7-4A95-8CB2-53FDD574B7EA 2 0.8081 0.6869 0.248 0.752
#> 64D465E7-0DB8-46A1-8BF2-BBF59D23B7EB 2 0.0000 0.9515 0.000 1.000
#> 9824DFB4-0A1A-4BA4-B2DC-5348DA3D3AE6 2 0.0000 0.9515 0.000 1.000
#> 50ECFB2A-FF9D-4A8A-91CB-3902D3B670A0 2 0.0000 0.9515 0.000 1.000
#> 755D805B-B9F4-41D3-ACA7-2BB599C3D529 2 0.0000 0.9515 0.000 1.000
#> 0BA34100-8588-47B5-A962-4BD1916645B6 1 0.0000 0.9498 1.000 0.000
#> 9CE2E8D4-1AD1-4546-AD5D-D58193F79096 1 0.0000 0.9498 1.000 0.000
#> 92D7DB12-B0E0-4072-98FB-34B112E7728D 1 0.0000 0.9498 1.000 0.000
#> 79FD2101-0A9A-4EA7-A773-5EA8693138D0 2 0.0000 0.9515 0.000 1.000
#> A3A8937A-0B0B-4A68-AE68-81DA9CF7F4FB 1 0.0000 0.9498 1.000 0.000
#> 3EB3C0F8-4CBC-41A7-81E4-4D8A565441A7 1 0.5946 0.8054 0.856 0.144
#> 77EE3B54-FD7A-4ACF-879C-31667ADCCC5B 2 0.0000 0.9515 0.000 1.000
#> 327B2123-6DD8-4263-87DE-EE917E911DD4 2 0.8386 0.6542 0.268 0.732
#> 198A6AD0-79CD-40F5-A622-18AFBE78F2D2 1 0.0000 0.9498 1.000 0.000
#> EEE29DE1-F88C-4184-B499-5E86E2D252C4 1 0.0000 0.9498 1.000 0.000
#> 1E95EA22-BC41-4AAE-AFCC-F9281989A785 2 0.8861 0.5890 0.304 0.696
#> CD3AC0E4-88A9-4084-A2BE-AEE722CF6AA3 1 0.7528 0.7142 0.784 0.216
#> 8D7FABA2-764D-4795-BB04-D9E69E9792B9 1 0.0000 0.9498 1.000 0.000
#> DAC07889-EE06-46E0-B1F1-833ECC0A48A9 2 0.0000 0.9515 0.000 1.000
#> E7B555A3-567B-4A44-8225-D269E73FB50B 2 0.0938 0.9435 0.012 0.988
#> 3CC95101-C35F-4761-9D41-3C35BD55B37E 2 0.0000 0.9515 0.000 1.000
#> F62E5A69-5E81-4B2A-8CC0-F4D6E188B187 1 0.0000 0.9498 1.000 0.000
#> C650633B-A369-4657-8693-FDFBF22BD34E 1 0.0000 0.9498 1.000 0.000
#> 5E514217-F0DB-49FD-9C5D-EB22628ED297 2 0.0000 0.9515 0.000 1.000
#> 6E1DB9BF-06FE-48B1-A2D8-EF2CE7591364 2 0.0000 0.9515 0.000 1.000
#> C9581CE3-58B6-45B4-B4B7-15F555FD84A4 1 0.0000 0.9498 1.000 0.000
#> F56C26ED-9358-485B-8867-EBA1CAA4E2A7 2 0.0000 0.9515 0.000 1.000
#> 45CA3F9E-40EE-43A4-AE57-FE51D4003844 2 0.0000 0.9515 0.000 1.000
#> 47EFA063-19C1-4E1F-ACE8-68D9BAD0B995 2 0.5629 0.8333 0.132 0.868
#> 8C30EA0F-0DA1-43C7-81AE-DE825A53F114 1 0.0000 0.9498 1.000 0.000
#> 2CE7477C-DD09-4B3A-AD65-C696BE8C9B11 1 0.0000 0.9498 1.000 0.000
#> 4DECB19A-290F-4CEB-BE25-AAF9B9E2B58F 1 0.0000 0.9498 1.000 0.000
#> 3DEA9B14-DF42-43A0-AC4A-32AE7A16218D 2 0.0000 0.9515 0.000 1.000
#> 9F57D45B-C62F-44C5-AB9D-0CB54BBA16F5 2 0.0000 0.9515 0.000 1.000
#> 54ACCFD9-A8D6-4E4C-9097-1A0BE258AA1B 1 0.0000 0.9498 1.000 0.000
#> 9EE67DE9-9B56-4773-8F6A-1036D31F568E 2 0.9608 0.4153 0.384 0.616
#> 1B1C9301-D6D6-4F6B-80A3-3603013AA951 2 0.0000 0.9515 0.000 1.000
#> DDDCDF00-FB0A-477B-891B-2EE5E0C8F61E 1 0.0000 0.9498 1.000 0.000
#> 34A3260D-AC4D-416F-ADF0-24013048BC46 2 0.0000 0.9515 0.000 1.000
#> 671C1840-9C1B-4AC1-9564-78802489F763 1 0.0000 0.9498 1.000 0.000
#> BA4F7841-9FC3-4CE6-ACA5-43FC36641640 1 0.9286 0.4886 0.656 0.344
#> 24A02CE5-28E7-457E-8B90-4EACA528B072 1 0.2948 0.9090 0.948 0.052
#> C7008665-F6DE-48B4-A0E7-6C388B72C609 2 0.0000 0.9515 0.000 1.000
#> 50F984AB-95C1-4D7B-A787-418CBB59D165 2 0.9922 0.2316 0.448 0.552
#> 5FFD2A6A-ED8A-44A9-9FC1-3106341C284A 2 0.0000 0.9515 0.000 1.000
#> 7481630E-5CBA-4A4A-A16F-E327BCEE11D3 2 0.8661 0.6201 0.288 0.712
#> 7B3E6643-C148-4266-A3A3-80BAB713DD3E 2 0.0000 0.9515 0.000 1.000
#> BA8564FA-8D4D-4B2F-A178-63209F887A05 1 0.0000 0.9498 1.000 0.000
#> 2FB578F6-E8B7-434D-9720-D448A26C1EFD 1 0.0000 0.9498 1.000 0.000
#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 2 0.0000 0.9515 0.000 1.000
#> 740FCE46-8A4A-4A6A-B79F-78A63D28E313 2 0.0000 0.9515 0.000 1.000
#> 523A5832-0C42-44A4-A58F-7011C3A567DC 1 0.0000 0.9498 1.000 0.000
#> A2C68C81-7371-4E0C-BFD1-EA868A7C9499 2 0.0000 0.9515 0.000 1.000
#> 2EB7025A-D932-4238-BD60-609B25150029 2 0.7139 0.7614 0.196 0.804
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 2 0.0000 0.9515 0.000 1.000
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 2 0.0000 0.9515 0.000 1.000
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 2 0.0000 0.9515 0.000 1.000
#> F081EA01-ED14-491B-9620-BF8F10A7431D 2 0.0672 0.9463 0.008 0.992
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 2 0.0000 0.9515 0.000 1.000
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 2 0.8267 0.6678 0.260 0.740
#> B54639CE-F721-4908-B758-309F148AD3C2 2 0.0000 0.9515 0.000 1.000
#> EB4294E1-3FBC-495C-A041-829A654B59C5 1 0.0000 0.9498 1.000 0.000
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 2 0.0000 0.9515 0.000 1.000
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.0000 0.9515 0.000 1.000
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 2 0.0000 0.9515 0.000 1.000
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.0000 0.9515 0.000 1.000
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 1 0.0000 0.9498 1.000 0.000
#> D34036E4-1122-42AE-B20F-F4C8515872A0 2 0.0000 0.9515 0.000 1.000
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 2 0.0000 0.9515 0.000 1.000
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 1 0.0000 0.9498 1.000 0.000
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 1 0.0000 0.9498 1.000 0.000
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.0000 0.9515 0.000 1.000
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.0000 0.9515 0.000 1.000
#> F3C13430-405E-432E-8F3E-0DD18E86087E 2 0.0000 0.9515 0.000 1.000
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.0000 0.9515 0.000 1.000
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 1 0.0000 0.9498 1.000 0.000
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.0000 0.9515 0.000 1.000
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.0000 0.9515 0.000 1.000
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 1 0.2778 0.9105 0.952 0.048
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.0000 0.9515 0.000 1.000
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 2 0.8499 0.6206 0.276 0.724
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 2 0.9358 0.4915 0.352 0.648
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 1 0.0000 0.9498 1.000 0.000
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.0000 0.9515 0.000 1.000
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 1 0.0000 0.9498 1.000 0.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 1 0.0000 0.9498 1.000 0.000
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 2 0.0000 0.9515 0.000 1.000
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 2 0.0000 0.9515 0.000 1.000
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.0000 0.9515 0.000 1.000
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 2 0.9988 0.1194 0.480 0.520
#> 343F031B-0095-429D-8212-AD0581DBB05B 1 0.9970 0.0819 0.532 0.468
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 2 0.0000 0.9515 0.000 1.000
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.0000 0.9498 1.000 0.000
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 2 0.0000 0.9515 0.000 1.000
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 2 0.0376 0.9490 0.004 0.996
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 2 0.0000 0.9515 0.000 1.000
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.0000 0.9515 0.000 1.000
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.0000 0.9515 0.000 1.000
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.0000 0.9515 0.000 1.000
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 1 0.0000 0.9498 1.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.2236 0.9212 0.964 0.036
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 1 0.0000 0.9498 1.000 0.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 2 0.6247 0.8103 0.156 0.844
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 1 0.0000 0.9498 1.000 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.0000 0.9515 0.000 1.000
#> FC7821F4-6495-4545-A22A-764BB99B3F79 2 0.0000 0.9515 0.000 1.000
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.0000 0.9515 0.000 1.000
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.1633 0.9348 0.024 0.976
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.0000 0.9515 0.000 1.000
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.0000 0.9515 0.000 1.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 2 0.0000 0.9515 0.000 1.000
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 2 0.0376 0.9490 0.004 0.996
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.0000 0.9515 0.000 1.000
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 1 0.0000 0.9498 1.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 2 0.7056 0.7661 0.192 0.808
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.0000 0.9515 0.000 1.000
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 1 0.0000 0.9498 1.000 0.000
#> BEE081CA-8420-4314-88A0-286BB30FFD65 2 0.7453 0.7396 0.212 0.788
#> C464CD1D-4519-48E8-A18A-403F691E5702 1 0.9909 0.1705 0.556 0.444
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.0000 0.9498 1.000 0.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.0000 0.9515 0.000 1.000
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0000 0.9515 0.000 1.000
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.0000 0.9498 1.000 0.000
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.6531 0.7790 0.832 0.168
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.4291 0.8307 0.180 0.820 0.000
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 2 0.3267 0.7914 0.000 0.884 0.116
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 2 0.0000 0.8619 0.000 1.000 0.000
#> 91202998-760F-4421-B1C4-18639962EDDA 1 0.4291 0.7939 0.820 0.000 0.180
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.1860 0.8617 0.052 0.948 0.000
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 2 0.0000 0.8619 0.000 1.000 0.000
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 2 0.4605 0.6882 0.204 0.796 0.000
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.0000 0.8619 0.000 1.000 0.000
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.0000 0.8619 0.000 1.000 0.000
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.0000 0.8619 0.000 1.000 0.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 2 0.8408 0.3772 0.272 0.600 0.128
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.0000 0.8965 0.000 0.000 1.000
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 2 0.0000 0.8619 0.000 1.000 0.000
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 2 0.0000 0.8619 0.000 1.000 0.000
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0000 0.8965 0.000 0.000 1.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.3816 0.8436 0.148 0.852 0.000
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.4235 0.7962 0.824 0.000 0.176
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 2 0.1643 0.8429 0.000 0.956 0.044
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 3 0.4629 0.7299 0.004 0.188 0.808
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.0000 0.7763 1.000 0.000 0.000
#> D7A50E95-777C-47A6-8F93-031CB4770633 1 0.1411 0.7518 0.964 0.036 0.000
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.0000 0.8619 0.000 1.000 0.000
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 1 0.6244 -0.0684 0.560 0.440 0.000
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 1 0.4062 0.7983 0.836 0.000 0.164
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.0000 0.8619 0.000 1.000 0.000
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 2 0.0000 0.8619 0.000 1.000 0.000
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.0000 0.8619 0.000 1.000 0.000
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.4291 0.8307 0.180 0.820 0.000
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#> 64D465E7-0DB8-46A1-8BF2-BBF59D23B7EB 2 0.4399 0.8258 0.188 0.812 0.000
#> 9824DFB4-0A1A-4BA4-B2DC-5348DA3D3AE6 2 0.4750 0.8035 0.216 0.784 0.000
#> 50ECFB2A-FF9D-4A8A-91CB-3902D3B670A0 2 0.4291 0.8307 0.180 0.820 0.000
#> 755D805B-B9F4-41D3-ACA7-2BB599C3D529 2 0.0000 0.8619 0.000 1.000 0.000
#> 0BA34100-8588-47B5-A962-4BD1916645B6 1 0.4235 0.7962 0.824 0.000 0.176
#> 9CE2E8D4-1AD1-4546-AD5D-D58193F79096 1 0.4291 0.7939 0.820 0.000 0.180
#> 92D7DB12-B0E0-4072-98FB-34B112E7728D 3 0.0000 0.8965 0.000 0.000 1.000
#> 79FD2101-0A9A-4EA7-A773-5EA8693138D0 2 0.0000 0.8619 0.000 1.000 0.000
#> A3A8937A-0B0B-4A68-AE68-81DA9CF7F4FB 1 0.5443 0.7206 0.736 0.004 0.260
#> 3EB3C0F8-4CBC-41A7-81E4-4D8A565441A7 3 0.7644 0.5149 0.180 0.136 0.684
#> 77EE3B54-FD7A-4ACF-879C-31667ADCCC5B 2 0.2959 0.8549 0.100 0.900 0.000
#> 327B2123-6DD8-4263-87DE-EE917E911DD4 2 0.6095 0.2841 0.392 0.608 0.000
#> 198A6AD0-79CD-40F5-A622-18AFBE78F2D2 1 0.4178 0.7970 0.828 0.000 0.172
#> EEE29DE1-F88C-4184-B499-5E86E2D252C4 1 0.4235 0.7962 0.824 0.000 0.176
#> 1E95EA22-BC41-4AAE-AFCC-F9281989A785 1 0.4164 0.7264 0.848 0.144 0.008
#> CD3AC0E4-88A9-4084-A2BE-AEE722CF6AA3 1 0.0592 0.7697 0.988 0.012 0.000
#> 8D7FABA2-764D-4795-BB04-D9E69E9792B9 1 0.4235 0.7962 0.824 0.000 0.176
#> DAC07889-EE06-46E0-B1F1-833ECC0A48A9 2 0.4062 0.8377 0.164 0.836 0.000
#> E7B555A3-567B-4A44-8225-D269E73FB50B 2 0.2878 0.8108 0.000 0.904 0.096
#> 3CC95101-C35F-4761-9D41-3C35BD55B37E 2 0.3482 0.8486 0.128 0.872 0.000
#> F62E5A69-5E81-4B2A-8CC0-F4D6E188B187 1 0.0000 0.7763 1.000 0.000 0.000
#> C650633B-A369-4657-8693-FDFBF22BD34E 3 0.5178 0.6665 0.256 0.000 0.744
#> 5E514217-F0DB-49FD-9C5D-EB22628ED297 2 0.0000 0.8619 0.000 1.000 0.000
#> 6E1DB9BF-06FE-48B1-A2D8-EF2CE7591364 2 0.4291 0.8307 0.180 0.820 0.000
#> C9581CE3-58B6-45B4-B4B7-15F555FD84A4 3 0.6079 0.1240 0.388 0.000 0.612
#> F56C26ED-9358-485B-8867-EBA1CAA4E2A7 2 0.4291 0.8307 0.180 0.820 0.000
#> 45CA3F9E-40EE-43A4-AE57-FE51D4003844 2 0.0000 0.8619 0.000 1.000 0.000
#> 47EFA063-19C1-4E1F-ACE8-68D9BAD0B995 1 0.6521 -0.3082 0.504 0.492 0.004
#> 8C30EA0F-0DA1-43C7-81AE-DE825A53F114 3 0.0000 0.8965 0.000 0.000 1.000
#> 2CE7477C-DD09-4B3A-AD65-C696BE8C9B11 1 0.4235 0.7962 0.824 0.000 0.176
#> 4DECB19A-290F-4CEB-BE25-AAF9B9E2B58F 1 0.2537 0.7960 0.920 0.000 0.080
#> 3DEA9B14-DF42-43A0-AC4A-32AE7A16218D 2 0.0000 0.8619 0.000 1.000 0.000
#> 9F57D45B-C62F-44C5-AB9D-0CB54BBA16F5 2 0.4235 0.8328 0.176 0.824 0.000
#> 54ACCFD9-A8D6-4E4C-9097-1A0BE258AA1B 1 0.0000 0.7763 1.000 0.000 0.000
#> 9EE67DE9-9B56-4773-8F6A-1036D31F568E 2 0.7683 0.4244 0.064 0.608 0.328
#> 1B1C9301-D6D6-4F6B-80A3-3603013AA951 2 0.5743 0.8149 0.172 0.784 0.044
#> DDDCDF00-FB0A-477B-891B-2EE5E0C8F61E 3 0.0000 0.8965 0.000 0.000 1.000
#> 34A3260D-AC4D-416F-ADF0-24013048BC46 2 0.4452 0.8253 0.192 0.808 0.000
#> 671C1840-9C1B-4AC1-9564-78802489F763 1 0.4235 0.7962 0.824 0.000 0.176
#> BA4F7841-9FC3-4CE6-ACA5-43FC36641640 1 0.4931 0.5121 0.768 0.232 0.000
#> 24A02CE5-28E7-457E-8B90-4EACA528B072 1 0.0000 0.7763 1.000 0.000 0.000
#> C7008665-F6DE-48B4-A0E7-6C388B72C609 2 0.1289 0.8632 0.032 0.968 0.000
#> 50F984AB-95C1-4D7B-A787-418CBB59D165 1 0.1643 0.7451 0.956 0.044 0.000
#> 5FFD2A6A-ED8A-44A9-9FC1-3106341C284A 2 0.0000 0.8619 0.000 1.000 0.000
#> 7481630E-5CBA-4A4A-A16F-E327BCEE11D3 1 0.0237 0.7745 0.996 0.004 0.000
#> 7B3E6643-C148-4266-A3A3-80BAB713DD3E 2 0.1411 0.8628 0.036 0.964 0.000
#> BA8564FA-8D4D-4B2F-A178-63209F887A05 1 0.4291 0.7939 0.820 0.000 0.180
#> 2FB578F6-E8B7-434D-9720-D448A26C1EFD 1 0.3816 0.7998 0.852 0.000 0.148
#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 2 0.4291 0.8307 0.180 0.820 0.000
#> 740FCE46-8A4A-4A6A-B79F-78A63D28E313 2 0.0000 0.8619 0.000 1.000 0.000
#> 523A5832-0C42-44A4-A58F-7011C3A567DC 3 0.0000 0.8965 0.000 0.000 1.000
#> A2C68C81-7371-4E0C-BFD1-EA868A7C9499 2 0.4291 0.8307 0.180 0.820 0.000
#> 2EB7025A-D932-4238-BD60-609B25150029 2 0.5803 0.6604 0.028 0.760 0.212
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 2 0.0000 0.8619 0.000 1.000 0.000
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 2 0.0237 0.8624 0.004 0.996 0.000
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 2 0.2625 0.8578 0.084 0.916 0.000
#> F081EA01-ED14-491B-9620-BF8F10A7431D 2 0.0000 0.8619 0.000 1.000 0.000
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 2 0.4235 0.8328 0.176 0.824 0.000
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 3 0.3989 0.7774 0.124 0.012 0.864
#> B54639CE-F721-4908-B758-309F148AD3C2 2 0.0000 0.8619 0.000 1.000 0.000
#> EB4294E1-3FBC-495C-A041-829A654B59C5 3 0.0000 0.8965 0.000 0.000 1.000
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 1 0.0237 0.7745 0.996 0.004 0.000
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.0000 0.8619 0.000 1.000 0.000
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 1 0.5733 0.3356 0.676 0.324 0.000
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.0592 0.8631 0.012 0.988 0.000
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 1 0.3686 0.7543 0.860 0.000 0.140
#> D34036E4-1122-42AE-B20F-F4C8515872A0 2 0.0000 0.8619 0.000 1.000 0.000
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 2 0.4235 0.8328 0.176 0.824 0.000
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 1 0.4291 0.7939 0.820 0.000 0.180
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 3 0.0000 0.8965 0.000 0.000 1.000
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.4235 0.8328 0.176 0.824 0.000
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.0424 0.8629 0.008 0.992 0.000
#> F3C13430-405E-432E-8F3E-0DD18E86087E 2 0.4235 0.7252 0.176 0.824 0.000
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.4062 0.8377 0.164 0.836 0.000
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 1 0.0000 0.7763 1.000 0.000 0.000
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.4235 0.8328 0.176 0.824 0.000
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.0592 0.8631 0.012 0.988 0.000
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 1 0.4121 0.7978 0.832 0.000 0.168
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.3686 0.8459 0.140 0.860 0.000
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.0000 0.7763 1.000 0.000 0.000
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 1 0.6225 0.3378 0.568 0.432 0.000
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 1 0.4235 0.7962 0.824 0.000 0.176
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.0000 0.8619 0.000 1.000 0.000
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.0000 0.8965 0.000 0.000 1.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.0000 0.8965 0.000 0.000 1.000
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 2 0.0000 0.8619 0.000 1.000 0.000
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 2 0.4235 0.8328 0.176 0.824 0.000
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.4504 0.8201 0.196 0.804 0.000
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 1 0.0983 0.7819 0.980 0.004 0.016
#> 343F031B-0095-429D-8212-AD0581DBB05B 1 0.5948 0.4960 0.640 0.360 0.000
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 2 0.0000 0.8619 0.000 1.000 0.000
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.0747 0.7825 0.984 0.000 0.016
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 2 0.0000 0.8619 0.000 1.000 0.000
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 2 0.1411 0.8492 0.036 0.964 0.000
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 1 0.0237 0.7745 0.996 0.004 0.000
#> F9F33C38-A087-49FF-B994-3C9EE264F448 1 0.6307 -0.3227 0.512 0.488 0.000
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.4235 0.8328 0.176 0.824 0.000
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.4121 0.8361 0.168 0.832 0.000
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.0000 0.8965 0.000 0.000 1.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.1860 0.7920 0.948 0.000 0.052
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.0000 0.8965 0.000 0.000 1.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 2 0.4504 0.6992 0.196 0.804 0.000
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.0000 0.8965 0.000 0.000 1.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.1753 0.8620 0.048 0.952 0.000
#> FC7821F4-6495-4545-A22A-764BB99B3F79 2 0.6180 0.4948 0.416 0.584 0.000
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.0000 0.8619 0.000 1.000 0.000
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.4291 0.8307 0.180 0.820 0.000
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.0237 0.8625 0.004 0.996 0.000
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.4235 0.8328 0.176 0.824 0.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 2 0.5397 0.5613 0.280 0.720 0.000
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 2 0.4346 0.7152 0.184 0.816 0.000
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.4291 0.8307 0.180 0.820 0.000
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0000 0.8965 0.000 0.000 1.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 2 0.4796 0.6651 0.220 0.780 0.000
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.0000 0.8619 0.000 1.000 0.000
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 1 0.4291 0.7939 0.820 0.000 0.180
#> BEE081CA-8420-4314-88A0-286BB30FFD65 2 0.4504 0.7033 0.000 0.804 0.196
#> C464CD1D-4519-48E8-A18A-403F691E5702 1 0.8019 0.4729 0.576 0.348 0.076
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.4235 0.7962 0.824 0.000 0.176
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.0000 0.8619 0.000 1.000 0.000
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.4235 0.8328 0.176 0.824 0.000
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.6154 0.0830 0.592 0.000 0.408
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.1529 0.7899 0.960 0.000 0.040
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.0376 0.83457 0.004 0.992 0.004 0.000
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 4 0.1576 0.73630 0.004 0.048 0.000 0.948
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 4 0.5039 0.11493 0.004 0.404 0.000 0.592
#> 91202998-760F-4421-B1C4-18639962EDDA 4 0.4889 0.42551 0.360 0.000 0.004 0.636
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.2593 0.80091 0.004 0.892 0.000 0.104
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 4 0.0469 0.73510 0.000 0.012 0.000 0.988
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 4 0.0000 0.73270 0.000 0.000 0.000 1.000
#> 54337CE9-6F12-4712-8131-4B83F3216343 4 0.2345 0.72524 0.000 0.100 0.000 0.900
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 4 0.4456 0.53709 0.004 0.280 0.000 0.716
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.5060 0.43975 0.004 0.584 0.000 0.412
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 4 0.0188 0.73368 0.000 0.004 0.000 0.996
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.0336 0.89717 0.000 0.000 0.992 0.008
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 4 0.5168 -0.20610 0.004 0.492 0.000 0.504
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 2 0.5252 0.56082 0.020 0.644 0.000 0.336
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0188 0.90214 0.004 0.000 0.996 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.1022 0.83181 0.000 0.968 0.000 0.032
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.0336 0.89750 0.992 0.000 0.008 0.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 4 0.2197 0.73029 0.004 0.080 0.000 0.916
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 3 0.5589 0.25950 0.004 0.016 0.568 0.412
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.3356 0.76693 0.824 0.176 0.000 0.000
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.5060 0.16848 0.412 0.584 0.004 0.000
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 4 0.5097 0.03147 0.004 0.428 0.000 0.568
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 2 0.1940 0.79130 0.076 0.924 0.000 0.000
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 1 0.3808 0.70641 0.808 0.004 0.004 0.184
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.4800 0.56572 0.004 0.656 0.000 0.340
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 4 0.0376 0.73215 0.004 0.004 0.000 0.992
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.5158 0.29565 0.004 0.524 0.000 0.472
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.0376 0.83440 0.004 0.992 0.004 0.000
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.0188 0.90214 0.004 0.000 0.996 0.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.1398 0.82849 0.004 0.956 0.000 0.040
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 4 0.4844 0.67182 0.004 0.092 0.112 0.792
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 2 0.0336 0.83436 0.008 0.992 0.000 0.000
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.1022 0.82956 0.000 0.968 0.000 0.032
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.2944 0.78408 0.004 0.868 0.000 0.128
#> 2846A3AC-D102-4E37-9B72-139ED727157A 2 0.4991 0.48994 0.004 0.608 0.000 0.388
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.0188 0.83505 0.004 0.996 0.000 0.000
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 1 0.2125 0.84674 0.920 0.000 0.004 0.076
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.1059 0.89012 0.972 0.000 0.012 0.016
#> 150F5B77-4848-4D68-800A-0A0236C3661F 4 0.0592 0.73578 0.000 0.016 0.000 0.984
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.2053 0.86557 0.924 0.072 0.004 0.000
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.2238 0.81668 0.004 0.920 0.004 0.072
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.2714 0.79434 0.004 0.884 0.000 0.112
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 1 0.3718 0.74758 0.820 0.000 0.012 0.168
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 3 0.7139 0.15021 0.004 0.120 0.504 0.372
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#> 4001EE2D-F208-465E-B718-01CCB9BD1C17 2 0.0524 0.83352 0.008 0.988 0.004 0.000
#> AFE61E30-D425-40CC-BC57-C210A0D03EFE 1 0.0188 0.89719 0.996 0.004 0.000 0.000
#> C06D79D5-4D8A-47D3-97CE-0E9BA204347C 4 0.0376 0.73292 0.004 0.004 0.000 0.992
#> 3975BE32-7E20-4EFC-9122-FE468544C5D9 2 0.5165 0.16805 0.004 0.604 0.004 0.388
#> 0FDC5030-92FC-44B5-AE62-6EC3EA9290BB 3 0.0188 0.90214 0.004 0.000 0.996 0.000
#> 8E3F8687-B00B-4FA9-84F2-F731B169FC45 2 0.5112 0.38937 0.004 0.560 0.000 0.436
#> 45CEDF59-BC7A-4D86-8C2D-9A91AC141D30 1 0.3479 0.75844 0.840 0.000 0.012 0.148
#> 4043BFE7-72A7-4A95-8CB2-53FDD574B7EA 4 0.0188 0.73223 0.004 0.000 0.000 0.996
#> 64D465E7-0DB8-46A1-8BF2-BBF59D23B7EB 2 0.0188 0.83493 0.000 0.996 0.004 0.000
#> 9824DFB4-0A1A-4BA4-B2DC-5348DA3D3AE6 2 0.0657 0.83225 0.012 0.984 0.004 0.000
#> 50ECFB2A-FF9D-4A8A-91CB-3902D3B670A0 2 0.0336 0.83423 0.008 0.992 0.000 0.000
#> 755D805B-B9F4-41D3-ACA7-2BB599C3D529 2 0.5016 0.47383 0.004 0.600 0.000 0.396
#> 0BA34100-8588-47B5-A962-4BD1916645B6 1 0.0524 0.89651 0.988 0.000 0.008 0.004
#> 9CE2E8D4-1AD1-4546-AD5D-D58193F79096 4 0.4535 0.52048 0.292 0.000 0.004 0.704
#> 92D7DB12-B0E0-4072-98FB-34B112E7728D 3 0.0188 0.90214 0.004 0.000 0.996 0.000
#> 79FD2101-0A9A-4EA7-A773-5EA8693138D0 2 0.3710 0.73302 0.004 0.804 0.000 0.192
#> A3A8937A-0B0B-4A68-AE68-81DA9CF7F4FB 4 0.3681 0.65069 0.176 0.000 0.008 0.816
#> 3EB3C0F8-4CBC-41A7-81E4-4D8A565441A7 4 0.5241 0.62156 0.088 0.008 0.136 0.768
#> 77EE3B54-FD7A-4ACF-879C-31667ADCCC5B 2 0.1209 0.83000 0.004 0.964 0.000 0.032
#> 327B2123-6DD8-4263-87DE-EE917E911DD4 4 0.0564 0.73395 0.004 0.004 0.004 0.988
#> 198A6AD0-79CD-40F5-A622-18AFBE78F2D2 1 0.0336 0.89750 0.992 0.000 0.008 0.000
#> EEE29DE1-F88C-4184-B499-5E86E2D252C4 1 0.0657 0.89374 0.984 0.000 0.004 0.012
#> 1E95EA22-BC41-4AAE-AFCC-F9281989A785 1 0.2530 0.81562 0.896 0.000 0.004 0.100
#> CD3AC0E4-88A9-4084-A2BE-AEE722CF6AA3 1 0.3837 0.67713 0.776 0.224 0.000 0.000
#> 8D7FABA2-764D-4795-BB04-D9E69E9792B9 1 0.0336 0.89750 0.992 0.000 0.008 0.000
#> DAC07889-EE06-46E0-B1F1-833ECC0A48A9 2 0.0376 0.83552 0.000 0.992 0.004 0.004
#> E7B555A3-567B-4A44-8225-D269E73FB50B 4 0.5746 0.10917 0.004 0.020 0.444 0.532
#> 3CC95101-C35F-4761-9D41-3C35BD55B37E 2 0.3982 0.59295 0.004 0.776 0.000 0.220
#> F62E5A69-5E81-4B2A-8CC0-F4D6E188B187 1 0.3208 0.79285 0.848 0.148 0.004 0.000
#> C650633B-A369-4657-8693-FDFBF22BD34E 3 0.4456 0.59013 0.004 0.280 0.716 0.000
#> 5E514217-F0DB-49FD-9C5D-EB22628ED297 2 0.3356 0.75733 0.000 0.824 0.000 0.176
#> 6E1DB9BF-06FE-48B1-A2D8-EF2CE7591364 2 0.0188 0.83493 0.000 0.996 0.004 0.000
#> C9581CE3-58B6-45B4-B4B7-15F555FD84A4 4 0.5990 0.55480 0.188 0.000 0.124 0.688
#> F56C26ED-9358-485B-8867-EBA1CAA4E2A7 2 0.0188 0.83505 0.004 0.996 0.000 0.000
#> 45CA3F9E-40EE-43A4-AE57-FE51D4003844 2 0.5088 0.32489 0.000 0.572 0.004 0.424
#> 47EFA063-19C1-4E1F-ACE8-68D9BAD0B995 1 0.4923 0.63955 0.716 0.264 0.012 0.008
#> 8C30EA0F-0DA1-43C7-81AE-DE825A53F114 3 0.0469 0.89500 0.000 0.000 0.988 0.012
#> 2CE7477C-DD09-4B3A-AD65-C696BE8C9B11 1 0.0336 0.89750 0.992 0.000 0.008 0.000
#> 4DECB19A-290F-4CEB-BE25-AAF9B9E2B58F 1 0.0376 0.89754 0.992 0.004 0.004 0.000
#> 3DEA9B14-DF42-43A0-AC4A-32AE7A16218D 4 0.4283 0.50642 0.004 0.256 0.000 0.740
#> 9F57D45B-C62F-44C5-AB9D-0CB54BBA16F5 2 0.3090 0.77794 0.000 0.888 0.056 0.056
#> 54ACCFD9-A8D6-4E4C-9097-1A0BE258AA1B 1 0.0779 0.89560 0.980 0.016 0.004 0.000
#> 9EE67DE9-9B56-4773-8F6A-1036D31F568E 4 0.2944 0.71845 0.004 0.128 0.000 0.868
#> 1B1C9301-D6D6-4F6B-80A3-3603013AA951 2 0.5751 0.58782 0.004 0.712 0.196 0.088
#> DDDCDF00-FB0A-477B-891B-2EE5E0C8F61E 3 0.0188 0.90214 0.004 0.000 0.996 0.000
#> 34A3260D-AC4D-416F-ADF0-24013048BC46 2 0.0469 0.83302 0.012 0.988 0.000 0.000
#> 671C1840-9C1B-4AC1-9564-78802489F763 1 0.0336 0.89750 0.992 0.000 0.008 0.000
#> BA4F7841-9FC3-4CE6-ACA5-43FC36641640 2 0.4608 0.48092 0.304 0.692 0.004 0.000
#> 24A02CE5-28E7-457E-8B90-4EACA528B072 1 0.0469 0.89640 0.988 0.012 0.000 0.000
#> C7008665-F6DE-48B4-A0E7-6C388B72C609 2 0.2197 0.81256 0.004 0.916 0.000 0.080
#> 50F984AB-95C1-4D7B-A787-418CBB59D165 4 0.7272 0.34480 0.304 0.156 0.004 0.536
#> 5FFD2A6A-ED8A-44A9-9FC1-3106341C284A 2 0.4456 0.64044 0.004 0.716 0.000 0.280
#> 7481630E-5CBA-4A4A-A16F-E327BCEE11D3 1 0.3024 0.80272 0.852 0.148 0.000 0.000
#> 7B3E6643-C148-4266-A3A3-80BAB713DD3E 2 0.1661 0.82304 0.004 0.944 0.000 0.052
#> BA8564FA-8D4D-4B2F-A178-63209F887A05 1 0.0469 0.89584 0.988 0.000 0.012 0.000
#> 2FB578F6-E8B7-434D-9720-D448A26C1EFD 1 0.0336 0.89719 0.992 0.008 0.000 0.000
#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 2 0.0336 0.83423 0.008 0.992 0.000 0.000
#> 740FCE46-8A4A-4A6A-B79F-78A63D28E313 2 0.4220 0.67962 0.004 0.748 0.000 0.248
#> 523A5832-0C42-44A4-A58F-7011C3A567DC 3 0.0188 0.90214 0.004 0.000 0.996 0.000
#> A2C68C81-7371-4E0C-BFD1-EA868A7C9499 2 0.0376 0.83457 0.004 0.992 0.004 0.000
#> 2EB7025A-D932-4238-BD60-609B25150029 4 0.4789 0.60344 0.008 0.040 0.172 0.780
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 2 0.5155 0.23534 0.004 0.528 0.000 0.468
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 2 0.3306 0.76605 0.004 0.840 0.000 0.156
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 2 0.1082 0.83400 0.004 0.972 0.004 0.020
#> F081EA01-ED14-491B-9620-BF8F10A7431D 4 0.5389 0.32571 0.004 0.328 0.020 0.648
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 2 0.0188 0.83493 0.000 0.996 0.004 0.000
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 3 0.5451 0.12250 0.004 0.008 0.524 0.464
#> B54639CE-F721-4908-B758-309F148AD3C2 4 0.5147 -0.09400 0.004 0.460 0.000 0.536
#> EB4294E1-3FBC-495C-A041-829A654B59C5 3 0.0188 0.90214 0.004 0.000 0.996 0.000
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 1 0.3219 0.77703 0.836 0.164 0.000 0.000
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.2999 0.78137 0.004 0.864 0.000 0.132
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 2 0.1022 0.82296 0.032 0.968 0.000 0.000
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.1824 0.81987 0.004 0.936 0.000 0.060
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 1 0.7764 0.22862 0.424 0.324 0.252 0.000
#> D34036E4-1122-42AE-B20F-F4C8515872A0 2 0.3626 0.74242 0.004 0.812 0.000 0.184
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 2 0.0564 0.83401 0.004 0.988 0.004 0.004
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 4 0.5167 0.13041 0.488 0.000 0.004 0.508
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 3 0.0188 0.89963 0.000 0.000 0.996 0.004
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.0188 0.83493 0.000 0.996 0.004 0.000
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.2831 0.78941 0.004 0.876 0.000 0.120
#> F3C13430-405E-432E-8F3E-0DD18E86087E 2 0.4950 0.50903 0.004 0.620 0.000 0.376
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.0376 0.83552 0.000 0.992 0.004 0.004
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 1 0.1042 0.89320 0.972 0.020 0.008 0.000
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.0000 0.83533 0.000 1.000 0.000 0.000
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.4220 0.59577 0.004 0.748 0.000 0.248
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 1 0.0712 0.89685 0.984 0.008 0.004 0.004
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.2466 0.80479 0.004 0.900 0.000 0.096
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.4998 0.16897 0.512 0.488 0.000 0.000
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 4 0.0524 0.73234 0.008 0.004 0.000 0.988
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 1 0.0336 0.89750 0.992 0.000 0.008 0.000
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.3583 0.74620 0.004 0.816 0.000 0.180
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.0188 0.90214 0.004 0.000 0.996 0.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.0188 0.90214 0.004 0.000 0.996 0.000
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 4 0.5126 -0.03156 0.004 0.444 0.000 0.552
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 2 0.2053 0.78893 0.000 0.924 0.004 0.072
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.0524 0.83352 0.008 0.988 0.004 0.000
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 4 0.6222 0.44434 0.304 0.080 0.000 0.616
#> 343F031B-0095-429D-8212-AD0581DBB05B 4 0.1489 0.73014 0.044 0.004 0.000 0.952
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 2 0.5167 0.24837 0.004 0.508 0.000 0.488
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.0895 0.89280 0.976 0.020 0.004 0.000
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 4 0.2888 0.71558 0.004 0.124 0.000 0.872
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 4 0.1398 0.72934 0.004 0.040 0.000 0.956
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 1 0.4781 0.56212 0.660 0.336 0.004 0.000
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.0469 0.83302 0.012 0.988 0.000 0.000
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.0188 0.83493 0.000 0.996 0.004 0.000
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.4492 0.51193 0.004 0.732 0.004 0.260
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.0188 0.90214 0.004 0.000 0.996 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.0376 0.89754 0.992 0.004 0.004 0.000
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.0188 0.90214 0.004 0.000 0.996 0.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 4 0.0336 0.73459 0.000 0.008 0.000 0.992
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.0188 0.90214 0.004 0.000 0.996 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.1396 0.83057 0.004 0.960 0.004 0.032
#> FC7821F4-6495-4545-A22A-764BB99B3F79 2 0.0469 0.83302 0.012 0.988 0.000 0.000
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.5161 0.28439 0.004 0.520 0.000 0.476
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.0564 0.83401 0.004 0.988 0.004 0.004
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 4 0.3945 0.66110 0.004 0.216 0.000 0.780
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.0188 0.83493 0.000 0.996 0.004 0.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 4 0.7577 0.14205 0.376 0.196 0.000 0.428
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 4 0.0188 0.73368 0.000 0.004 0.000 0.996
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.0336 0.83561 0.000 0.992 0.000 0.008
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0188 0.90214 0.004 0.000 0.996 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 4 0.1398 0.72813 0.040 0.004 0.000 0.956
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 4 0.2408 0.72549 0.000 0.104 0.000 0.896
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 4 0.5313 0.19830 0.456 0.004 0.004 0.536
#> BEE081CA-8420-4314-88A0-286BB30FFD65 4 0.0188 0.73368 0.000 0.004 0.000 0.996
#> C464CD1D-4519-48E8-A18A-403F691E5702 1 0.2676 0.81696 0.896 0.012 0.000 0.092
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.0336 0.89750 0.992 0.000 0.008 0.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.5039 0.44873 0.004 0.592 0.000 0.404
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0188 0.83493 0.000 0.996 0.004 0.000
#> A563359B-0D55-4826-9229-62A89143C1C6 3 0.6878 0.20600 0.104 0.424 0.472 0.000
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.0921 0.88961 0.972 0.028 0.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.3567 0.68415 0.052 0.832 0.000 0.112 0.004
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 4 0.2424 0.76043 0.000 0.000 0.000 0.868 0.132
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 5 0.1357 0.67921 0.004 0.048 0.000 0.000 0.948
#> 91202998-760F-4421-B1C4-18639962EDDA 4 0.2886 0.75132 0.008 0.000 0.000 0.844 0.148
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.3661 0.61039 0.000 0.724 0.000 0.000 0.276
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 5 0.4242 -0.08461 0.000 0.000 0.000 0.428 0.572
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 4 0.4291 0.29651 0.000 0.000 0.000 0.536 0.464
#> 54337CE9-6F12-4712-8131-4B83F3216343 5 0.5238 -0.22565 0.000 0.044 0.000 0.476 0.480
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 5 0.3681 0.55314 0.000 0.044 0.000 0.148 0.808
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 5 0.3752 0.51173 0.000 0.292 0.000 0.000 0.708
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 4 0.3928 0.65251 0.004 0.000 0.000 0.700 0.296
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.0880 0.90481 0.000 0.000 0.968 0.032 0.000
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 5 0.2929 0.65407 0.000 0.180 0.000 0.000 0.820
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 2 0.4702 0.31233 0.016 0.552 0.000 0.000 0.432
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0000 0.92963 0.000 0.000 1.000 0.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.2852 0.70293 0.000 0.828 0.000 0.000 0.172
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.0162 0.81774 0.996 0.004 0.000 0.000 0.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 4 0.1197 0.77824 0.000 0.000 0.000 0.952 0.048
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 4 0.0912 0.77613 0.000 0.000 0.016 0.972 0.012
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.4304 0.14143 0.516 0.484 0.000 0.000 0.000
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.4509 0.54142 0.208 0.744 0.000 0.024 0.024
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 5 0.2424 0.68473 0.000 0.132 0.000 0.000 0.868
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 2 0.1741 0.77037 0.024 0.936 0.000 0.000 0.040
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 4 0.4595 0.43500 0.284 0.004 0.000 0.684 0.028
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 5 0.4227 0.16986 0.000 0.420 0.000 0.000 0.580
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 5 0.1041 0.64965 0.000 0.004 0.000 0.032 0.964
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#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.0693 0.76702 0.000 0.980 0.000 0.008 0.012
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 5 0.4179 0.64819 0.072 0.152 0.000 0.000 0.776
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 5 0.4443 -0.25688 0.004 0.000 0.000 0.472 0.524
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.2020 0.74687 0.000 0.900 0.000 0.000 0.100
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0000 0.92963 0.000 0.000 1.000 0.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 5 0.1408 0.63416 0.008 0.000 0.000 0.044 0.948
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 4 0.3932 0.50342 0.000 0.000 0.000 0.672 0.328
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 4 0.3527 0.72255 0.024 0.000 0.000 0.804 0.172
#> BEE081CA-8420-4314-88A0-286BB30FFD65 5 0.4415 -0.19010 0.004 0.000 0.000 0.444 0.552
#> C464CD1D-4519-48E8-A18A-403F691E5702 1 0.6913 0.12592 0.432 0.300 0.008 0.000 0.260
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.0162 0.81774 0.996 0.004 0.000 0.000 0.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 5 0.2561 0.65428 0.000 0.144 0.000 0.000 0.856
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0404 0.76937 0.000 0.988 0.000 0.000 0.012
#> A563359B-0D55-4826-9229-62A89143C1C6 2 0.4843 0.22390 0.016 0.552 0.428 0.000 0.004
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.1965 0.78618 0.904 0.096 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
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.7076 0.074588 0.240 0.404 0.000 0.012 0.048 0.296
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 6 0.4451 0.530633 0.000 0.000 0.000 0.248 0.072 0.680
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 5 0.0862 0.686933 0.000 0.008 0.000 0.016 0.972 0.004
#> 91202998-760F-4421-B1C4-18639962EDDA 6 0.3782 0.408541 0.000 0.000 0.000 0.360 0.004 0.636
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.2954 0.765670 0.000 0.844 0.000 0.048 0.108 0.000
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 5 0.4860 0.462042 0.000 0.000 0.000 0.160 0.664 0.176
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 6 0.4988 0.221401 0.000 0.000 0.000 0.068 0.448 0.484
#> 54337CE9-6F12-4712-8131-4B83F3216343 6 0.7480 -0.024838 0.000 0.156 0.000 0.204 0.288 0.352
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 5 0.5688 0.279278 0.000 0.080 0.000 0.408 0.484 0.028
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 5 0.2669 0.626818 0.000 0.156 0.000 0.008 0.836 0.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 4 0.2070 0.623692 0.000 0.000 0.000 0.896 0.012 0.092
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.0458 0.911184 0.000 0.000 0.984 0.000 0.000 0.016
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 5 0.0777 0.687504 0.000 0.024 0.000 0.004 0.972 0.000
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 5 0.6130 -0.000474 0.240 0.352 0.000 0.004 0.404 0.000
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0146 0.919837 0.000 0.000 0.996 0.000 0.000 0.004
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.1967 0.790006 0.000 0.904 0.000 0.012 0.084 0.000
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.0146 0.787517 0.996 0.000 0.000 0.004 0.000 0.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 6 0.2568 0.741005 0.000 0.000 0.000 0.056 0.068 0.876
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 6 0.0777 0.758139 0.000 0.000 0.000 0.024 0.004 0.972
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.4180 0.470287 0.632 0.348 0.000 0.012 0.008 0.000
#> D7A50E95-777C-47A6-8F93-031CB4770633 1 0.6367 0.235798 0.388 0.324 0.000 0.012 0.000 0.276
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 5 0.1693 0.686669 0.000 0.020 0.000 0.044 0.932 0.004
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 2 0.1405 0.796907 0.004 0.948 0.000 0.024 0.024 0.000
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 6 0.5032 0.355572 0.064 0.020 0.000 0.284 0.000 0.632
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 5 0.4569 0.446964 0.000 0.304 0.000 0.060 0.636 0.000
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 5 0.0909 0.682874 0.000 0.000 0.000 0.020 0.968 0.012
#> 1139D935-739E-4C42-BFCB-06021A85932E 5 0.2837 0.671987 0.000 0.088 0.000 0.056 0.856 0.000
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.4733 0.513929 0.000 0.668 0.000 0.088 0.004 0.240
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.0146 0.918719 0.000 0.000 0.996 0.000 0.004 0.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.2667 0.762575 0.000 0.852 0.000 0.020 0.128 0.000
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 6 0.0777 0.759756 0.000 0.000 0.000 0.004 0.024 0.972
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 2 0.2070 0.787283 0.000 0.892 0.000 0.008 0.100 0.000
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 6 0.4278 0.609319 0.000 0.104 0.000 0.008 0.140 0.748
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.3217 0.699406 0.000 0.768 0.000 0.008 0.224 0.000
#> 2846A3AC-D102-4E37-9B72-139ED727157A 5 0.2234 0.642514 0.000 0.124 0.000 0.000 0.872 0.004
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.0622 0.796615 0.000 0.980 0.000 0.008 0.012 0.000
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 4 0.4109 0.424353 0.024 0.000 0.000 0.648 0.000 0.328
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.4446 0.297291 0.588 0.000 0.000 0.384 0.008 0.020
#> 150F5B77-4848-4D68-800A-0A0236C3661F 5 0.5001 0.201223 0.000 0.032 0.000 0.472 0.476 0.020
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.2871 0.671656 0.804 0.192 0.000 0.004 0.000 0.000
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.4565 0.586615 0.000 0.664 0.000 0.260 0.076 0.000
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.2830 0.758698 0.000 0.836 0.000 0.020 0.144 0.000
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 4 0.4911 0.545797 0.208 0.000 0.000 0.680 0.096 0.016
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 5 0.3757 0.503715 0.000 0.008 0.272 0.008 0.712 0.000
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.1531 0.794485 0.000 0.928 0.000 0.004 0.068 0.000
#> 1447B543-D3AC-41B5-878F-B382FE49421B 1 0.3521 0.673660 0.804 0.036 0.000 0.012 0.000 0.148
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 2 0.2532 0.788061 0.024 0.884 0.000 0.012 0.080 0.000
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 6 0.2620 0.741924 0.000 0.012 0.000 0.012 0.108 0.868
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.0000 0.920233 0.000 0.000 1.000 0.000 0.000 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 6 0.0935 0.750667 0.000 0.004 0.000 0.032 0.000 0.964
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 5 0.3695 0.561386 0.000 0.000 0.000 0.060 0.776 0.164
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.0000 0.787732 1.000 0.000 0.000 0.000 0.000 0.000
#> D9225689-21E0-478A-8F79-C26542938B8D 4 0.6359 0.029965 0.000 0.116 0.076 0.528 0.280 0.000
#> FC3BA46D-57F6-424C-8D62-16C441035969 5 0.3481 0.632691 0.000 0.160 0.000 0.048 0.792 0.000
#> 045CFFE6-4736-42F2-9340-C37690E47882 3 0.0146 0.919837 0.000 0.000 0.996 0.000 0.000 0.004
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 5 0.1528 0.678276 0.012 0.000 0.000 0.028 0.944 0.016
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 2 0.6404 -0.071657 0.020 0.412 0.000 0.228 0.340 0.000
#> E94B217F-C5DC-4F42-8135-E81F338914B5 6 0.5381 0.486066 0.000 0.000 0.152 0.000 0.280 0.568
#> AE4C3956-76DF-4059-8D69-3D764F31817F 2 0.4419 0.417443 0.000 0.584 0.000 0.032 0.384 0.000
#> 33D6A38E-CD99-437B-99E0-04E72582F777 6 0.1434 0.760918 0.000 0.000 0.008 0.020 0.024 0.948
#> 8379051C-5847-42B5-AC5C-A128C166AB97 6 0.1908 0.740965 0.000 0.004 0.000 0.096 0.000 0.900
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 6 0.0363 0.754461 0.000 0.000 0.000 0.012 0.000 0.988
#> 40A16429-229E-4F40-BFC7-263554438F99 5 0.1180 0.687228 0.000 0.012 0.000 0.016 0.960 0.012
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 5 0.5935 0.284419 0.000 0.128 0.012 0.404 0.452 0.004
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 4 0.5613 0.351631 0.000 0.004 0.276 0.588 0.116 0.016
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 6 0.3492 0.610179 0.172 0.016 0.000 0.012 0.004 0.796
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 6 0.1349 0.753661 0.000 0.000 0.000 0.056 0.004 0.940
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.1124 0.797437 0.000 0.956 0.000 0.008 0.036 0.000
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 6 0.1408 0.759751 0.000 0.000 0.000 0.020 0.036 0.944
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 6 0.3715 0.658569 0.000 0.000 0.000 0.188 0.048 0.764
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 2 0.1325 0.789381 0.000 0.956 0.012 0.012 0.004 0.016
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.0520 0.794200 0.000 0.984 0.000 0.008 0.008 0.000
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 5 0.0777 0.686975 0.000 0.024 0.000 0.000 0.972 0.004
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 6 0.2365 0.744330 0.000 0.000 0.000 0.072 0.040 0.888
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 2 0.1173 0.796152 0.016 0.960 0.000 0.008 0.016 0.000
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 3 0.5738 0.080210 0.000 0.408 0.500 0.020 0.044 0.028
#> FDB47AC4-CE6A-428B-9B55-EBCEF1970ACB 5 0.4504 0.329550 0.000 0.000 0.004 0.392 0.576 0.028
#> 133B7E7B-FD50-48A2-9A35-E6D44FAB976B 5 0.3975 0.553114 0.000 0.244 0.000 0.040 0.716 0.000
#> E69E45DA-66A6-438A-9BFC-5F1F7F5C5A87 4 0.5016 0.243890 0.000 0.000 0.000 0.584 0.324 0.092
#> 6E242DF5-8B8B-4C6F-870E-C7ADFFAFDF3E 2 0.6613 0.064159 0.000 0.424 0.000 0.340 0.192 0.044
#> CB7BBFF1-4BF3-42A9-85C6-680D91503799 6 0.1921 0.753840 0.000 0.000 0.000 0.052 0.032 0.916
#> 70AA4670-C75B-4E39-8958-3F9C29811871 2 0.4974 0.488342 0.000 0.600 0.024 0.336 0.040 0.000
#> D63C5178-4FF7-4FD0-B87E-6CBF6E7BEF5B 2 0.1444 0.792420 0.000 0.928 0.000 0.000 0.072 0.000
#> 814391F8-C5B9-43F6-A330-A6749BB8F16E 4 0.0951 0.624314 0.000 0.008 0.000 0.968 0.004 0.020
#> 146ED7EA-BF3C-4BAB-B33C-0A668AB13C80 4 0.5884 0.209985 0.000 0.000 0.000 0.416 0.200 0.384
#> FD5CAFE8-E669-406A-A505-A47DCDC32E93 5 0.5669 0.231110 0.000 0.000 0.000 0.320 0.504 0.176
#> 4B3C7910-A652-45B5-8218-9002EB0FD9EB 5 0.0837 0.686891 0.000 0.020 0.004 0.000 0.972 0.004
#> E410F77D-E31F-4D73-ACAC-9245935A92F5 5 0.0837 0.684521 0.000 0.004 0.000 0.020 0.972 0.004
#> 64336403-9037-480C-873A-67BC77119FA5 2 0.3065 0.756829 0.020 0.864 0.000 0.012 0.024 0.080
#> 6F9D5013-3B1B-41EE-85DB-E51F5D828DEF 5 0.6128 0.262334 0.000 0.000 0.044 0.272 0.544 0.140
#> 155AEBBD-1C12-4F88-90C7-1C7FF7E3FB2C 6 0.1946 0.755080 0.000 0.000 0.004 0.012 0.072 0.912
#> D28DDCAA-682C-451F-8327-D2C2AFB044E2 2 0.3333 0.694281 0.000 0.784 0.000 0.024 0.192 0.000
#> 171523DC-2713-4EBF-A115-53A0BA174545 3 0.0146 0.919837 0.000 0.000 0.996 0.000 0.000 0.004
#> FD223304-87BA-4462-A5E5-01AB8C018C35 4 0.6979 0.210764 0.012 0.048 0.164 0.412 0.004 0.360
#> D8E06D8A-9063-4466-A3B0-7724F4737C7A 6 0.2051 0.751499 0.000 0.008 0.036 0.000 0.040 0.916
#> FFA5FFF7-6301-4CD8-8E63-A4D8294D1B0E 5 0.1155 0.683463 0.000 0.004 0.000 0.036 0.956 0.004
#> AF3648D6-C774-48CC-9428-ADC00402A562 3 0.0000 0.920233 0.000 0.000 1.000 0.000 0.000 0.000
#> BD406B65-B715-444E-95B4-F38D05BAC863 6 0.1080 0.751356 0.000 0.004 0.000 0.032 0.004 0.960
#> 6DB67CA1-0BEB-4585-9867-40E7C8A96D55 2 0.1984 0.790349 0.000 0.912 0.000 0.056 0.032 0.000
#> 49C9DE1D-784D-405A-9DD3-C4D2890D0309 1 0.1858 0.761915 0.912 0.076 0.000 0.012 0.000 0.000
#> 05EC4D30-D34E-4497-B4F4-80AEDC2E70DF 1 0.0891 0.777743 0.968 0.000 0.000 0.024 0.008 0.000
#> CB69E76B-7CD3-49EF-9ADF-75701FE1D0A8 5 0.5764 0.014420 0.000 0.000 0.000 0.404 0.424 0.172
#> 103C6E25-A69A-460E-81C0-7437547E1334 2 0.0547 0.794068 0.000 0.980 0.000 0.020 0.000 0.000
#> 2D986DB0-B5A8-42E8-ACB8-926A16FAABD6 2 0.3684 0.551432 0.000 0.664 0.000 0.000 0.332 0.004
#> 1B9A0F24-8A3F-4693-B09C-5F0EFE5A32A5 1 0.5071 0.500063 0.632 0.156 0.000 0.000 0.212 0.000
#> C064D1FE-753E-4493-907C-C5FFE19F9875 2 0.0405 0.795357 0.000 0.988 0.000 0.008 0.004 0.000
#> 71596860-AEFA-4B94-8ADE-AC33CEA24DD4 2 0.3691 0.689740 0.000 0.796 0.156 0.020 0.004 0.024
#> E9A3A454-AB4D-4683-B276-84DA43792DBB 4 0.3032 0.616212 0.000 0.000 0.000 0.840 0.056 0.104
#> C5717869-8413-4810-A042-32E949AD3B0A 6 0.3190 0.654922 0.000 0.000 0.136 0.044 0.000 0.820
#> F36B393E-859C-49F8-BDF4-ED2CEF4C6307 5 0.4806 0.201458 0.000 0.000 0.000 0.460 0.488 0.052
#> 4CC9D3F9-983F-4CB2-91F1-0FBB86D53DC3 2 0.0508 0.794668 0.000 0.984 0.000 0.012 0.004 0.000
#> D450F074-CA68-49CE-B0B3-F81A91D54867 3 0.1444 0.843114 0.000 0.072 0.928 0.000 0.000 0.000
#> 2BBD504E-FE90-4142-9204-0E33B6B56C7E 5 0.1938 0.684479 0.000 0.020 0.000 0.052 0.920 0.008
#> 1A457CBF-24DA-44F1-B9ED-F26B8D1245D4 6 0.0405 0.753417 0.000 0.008 0.000 0.004 0.000 0.988
#> F29B5A39-866E-4C9D-BC26-B726FEA5F576 4 0.5145 0.077000 0.072 0.424 0.000 0.500 0.004 0.000
#> 89A4972A-8C91-4272-96BE-BCA9BC447780 2 0.1615 0.782455 0.000 0.928 0.000 0.064 0.004 0.004
#> 70B014FD-A0D0-418C-B55F-D09BAE213D52 2 0.4184 0.192523 0.000 0.556 0.000 0.008 0.004 0.432
#> 8139F417-0548-40B4-851F-A4E149A2E06A 1 0.2212 0.740426 0.880 0.112 0.000 0.008 0.000 0.000
#> 6E9F0021-FA91-4516-9B04-6A978034CECF 4 0.5086 0.560724 0.124 0.016 0.000 0.668 0.000 0.192
#> 49DAF1CD-8E20-433B-91A7-8C885ACB21A5 5 0.1429 0.679035 0.000 0.004 0.000 0.052 0.940 0.004
#> 093765A6-145C-47C3-B87B-4560CD632B4C 2 0.2933 0.724591 0.004 0.796 0.000 0.000 0.200 0.000
#> 90731001-45B2-4601-93F5-064BDD519A30 3 0.0000 0.920233 0.000 0.000 1.000 0.000 0.000 0.000
#> 40BCB65D-BC26-4FEF-941F-6F4A42D475EB 2 0.2320 0.769157 0.000 0.864 0.000 0.004 0.132 0.000
#> 204317C4-B927-4CAC-AADF-E16D19410ADB 5 0.5314 0.119307 0.000 0.120 0.000 0.000 0.544 0.336
#> 1023707A-D6DE-432A-AD2D-2318C3F91FA2 2 0.4097 0.214505 0.000 0.504 0.000 0.000 0.488 0.008
#> 06F79E8E-50E3-485A-82E9-C7CD4C72333B 2 0.2793 0.722134 0.000 0.800 0.000 0.000 0.200 0.000
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#> 34A3260D-AC4D-416F-ADF0-24013048BC46 2 0.3275 0.770234 0.052 0.836 0.000 0.012 0.100 0.000
#> 671C1840-9C1B-4AC1-9564-78802489F763 1 0.0000 0.787732 1.000 0.000 0.000 0.000 0.000 0.000
#> BA4F7841-9FC3-4CE6-ACA5-43FC36641640 2 0.6059 0.400222 0.044 0.588 0.000 0.148 0.004 0.216
#> 24A02CE5-28E7-457E-8B90-4EACA528B072 1 0.0405 0.787478 0.988 0.008 0.000 0.004 0.000 0.000
#> C7008665-F6DE-48B4-A0E7-6C388B72C609 2 0.2912 0.709914 0.000 0.784 0.000 0.000 0.216 0.000
#> 50F984AB-95C1-4D7B-A787-418CBB59D165 6 0.1268 0.747928 0.004 0.008 0.000 0.036 0.000 0.952
#> 5FFD2A6A-ED8A-44A9-9FC1-3106341C284A 5 0.2122 0.666210 0.000 0.076 0.000 0.000 0.900 0.024
#> 7481630E-5CBA-4A4A-A16F-E327BCEE11D3 1 0.3965 0.409600 0.604 0.388 0.000 0.008 0.000 0.000
#> 7B3E6643-C148-4266-A3A3-80BAB713DD3E 2 0.2300 0.760694 0.000 0.856 0.000 0.000 0.144 0.000
#> BA8564FA-8D4D-4B2F-A178-63209F887A05 1 0.0508 0.787760 0.984 0.012 0.000 0.000 0.004 0.000
#> 2FB578F6-E8B7-434D-9720-D448A26C1EFD 1 0.2048 0.732883 0.880 0.120 0.000 0.000 0.000 0.000
#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 2 0.1398 0.796199 0.000 0.940 0.000 0.008 0.052 0.000
#> 740FCE46-8A4A-4A6A-B79F-78A63D28E313 5 0.3857 -0.087392 0.000 0.468 0.000 0.000 0.532 0.000
#> 523A5832-0C42-44A4-A58F-7011C3A567DC 3 0.0000 0.920233 0.000 0.000 1.000 0.000 0.000 0.000
#> A2C68C81-7371-4E0C-BFD1-EA868A7C9499 2 0.0622 0.794923 0.000 0.980 0.000 0.012 0.008 0.000
#> 2EB7025A-D932-4238-BD60-609B25150029 5 0.0810 0.683729 0.004 0.004 0.000 0.008 0.976 0.008
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 5 0.2002 0.678453 0.000 0.076 0.000 0.012 0.908 0.004
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 5 0.6979 0.155132 0.180 0.280 0.000 0.000 0.444 0.096
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 2 0.5680 0.336724 0.000 0.544 0.000 0.184 0.004 0.268
#> F081EA01-ED14-491B-9620-BF8F10A7431D 5 0.5741 0.580114 0.000 0.092 0.092 0.144 0.664 0.008
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 2 0.0291 0.795162 0.000 0.992 0.000 0.004 0.004 0.000
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 6 0.0665 0.752124 0.000 0.008 0.004 0.008 0.000 0.980
#> B54639CE-F721-4908-B758-309F148AD3C2 5 0.0922 0.687587 0.000 0.024 0.000 0.004 0.968 0.004
#> EB4294E1-3FBC-495C-A041-829A654B59C5 3 0.0000 0.920233 0.000 0.000 1.000 0.000 0.000 0.000
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 1 0.3665 0.564892 0.696 0.296 0.000 0.004 0.004 0.000
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.2980 0.724251 0.000 0.800 0.000 0.008 0.192 0.000
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 2 0.3831 0.541209 0.268 0.712 0.000 0.012 0.008 0.000
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.2389 0.769548 0.000 0.864 0.000 0.008 0.128 0.000
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 2 0.5814 0.379710 0.136 0.560 0.284 0.016 0.000 0.004
#> D34036E4-1122-42AE-B20F-F4C8515872A0 2 0.3770 0.634357 0.000 0.728 0.000 0.028 0.244 0.000
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 2 0.4584 0.144677 0.000 0.520 0.004 0.020 0.004 0.452
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 4 0.2699 0.615643 0.012 0.000 0.000 0.856 0.008 0.124
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 3 0.0146 0.919837 0.000 0.000 0.996 0.000 0.000 0.004
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.0508 0.794190 0.000 0.984 0.000 0.012 0.004 0.000
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.2980 0.727231 0.000 0.800 0.000 0.008 0.192 0.000
#> F3C13430-405E-432E-8F3E-0DD18E86087E 2 0.5959 -0.130187 0.000 0.416 0.000 0.224 0.360 0.000
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.3231 0.703328 0.000 0.784 0.000 0.200 0.016 0.000
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 1 0.4333 0.170115 0.512 0.020 0.000 0.468 0.000 0.000
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.0692 0.796571 0.000 0.976 0.000 0.004 0.020 0.000
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 6 0.1922 0.752139 0.000 0.024 0.000 0.040 0.012 0.924
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 4 0.1007 0.613903 0.000 0.016 0.004 0.968 0.004 0.008
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.3403 0.704692 0.020 0.768 0.000 0.000 0.212 0.000
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.3872 0.408945 0.604 0.392 0.000 0.004 0.000 0.000
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 5 0.2961 0.650609 0.040 0.000 0.000 0.060 0.868 0.032
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 1 0.1951 0.743708 0.908 0.016 0.000 0.076 0.000 0.000
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.4806 0.417298 0.000 0.560 0.060 0.000 0.380 0.000
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.0000 0.920233 0.000 0.000 1.000 0.000 0.000 0.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.0260 0.917348 0.000 0.000 0.992 0.000 0.008 0.000
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 5 0.0777 0.686975 0.000 0.024 0.000 0.000 0.972 0.004
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 6 0.4711 0.587286 0.008 0.136 0.000 0.012 0.116 0.728
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.1167 0.793612 0.020 0.960 0.000 0.012 0.008 0.000
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 6 0.1152 0.754202 0.000 0.000 0.000 0.044 0.004 0.952
#> 343F031B-0095-429D-8212-AD0581DBB05B 4 0.2255 0.624749 0.000 0.000 0.000 0.892 0.028 0.080
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 5 0.2488 0.679581 0.000 0.076 0.000 0.044 0.880 0.000
#> 03A226C5-398D-41D2-BB72-C97A373CD512 4 0.6379 0.138745 0.332 0.032 0.000 0.456 0.000 0.180
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 6 0.1349 0.758808 0.000 0.000 0.000 0.004 0.056 0.940
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 5 0.4150 0.531809 0.004 0.008 0.000 0.256 0.708 0.024
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 2 0.4825 0.169276 0.392 0.560 0.000 0.012 0.000 0.036
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.4546 0.488772 0.288 0.660 0.000 0.012 0.040 0.000
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.2714 0.749779 0.000 0.848 0.000 0.136 0.012 0.004
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 6 0.1845 0.718589 0.000 0.072 0.000 0.008 0.004 0.916
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.0000 0.920233 0.000 0.000 1.000 0.000 0.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.0146 0.787575 0.996 0.000 0.000 0.000 0.000 0.004
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.0146 0.918719 0.000 0.000 0.996 0.000 0.004 0.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 4 0.5770 0.257599 0.000 0.000 0.000 0.500 0.288 0.212
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.0291 0.918694 0.000 0.000 0.992 0.000 0.004 0.004
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.1701 0.791345 0.000 0.920 0.000 0.008 0.072 0.000
#> FC7821F4-6495-4545-A22A-764BB99B3F79 2 0.0767 0.796914 0.012 0.976 0.000 0.004 0.008 0.000
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 5 0.1151 0.679784 0.000 0.012 0.000 0.000 0.956 0.032
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 4 0.4547 0.469948 0.004 0.276 0.000 0.668 0.004 0.048
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 4 0.6055 0.369496 0.000 0.060 0.000 0.592 0.196 0.152
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.1983 0.778067 0.000 0.916 0.000 0.012 0.012 0.060
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 5 0.2826 0.635362 0.112 0.024 0.000 0.008 0.856 0.000
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 5 0.5630 0.182051 0.000 0.000 0.000 0.204 0.536 0.260
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.3504 0.738773 0.012 0.804 0.000 0.012 0.160 0.012
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0146 0.919837 0.000 0.000 0.996 0.000 0.000 0.004
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 5 0.3838 0.293492 0.000 0.000 0.000 0.448 0.552 0.000
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 6 0.4239 0.597533 0.000 0.000 0.000 0.056 0.248 0.696
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 4 0.3411 0.542065 0.004 0.000 0.000 0.756 0.008 0.232
#> BEE081CA-8420-4314-88A0-286BB30FFD65 5 0.5296 0.054621 0.000 0.000 0.000 0.444 0.456 0.100
#> C464CD1D-4519-48E8-A18A-403F691E5702 2 0.6920 -0.019794 0.024 0.380 0.020 0.348 0.228 0.000
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.0146 0.787719 0.996 0.000 0.000 0.000 0.004 0.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 5 0.5982 0.340577 0.000 0.212 0.004 0.320 0.464 0.000
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0260 0.795005 0.000 0.992 0.000 0.008 0.000 0.000
#> A563359B-0D55-4826-9229-62A89143C1C6 3 0.4310 0.018959 0.004 0.472 0.512 0.012 0.000 0.000
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.1141 0.775686 0.948 0.052 0.000 0.000 0.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["ATC", "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 17109 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 0.270 0.673 0.822 0.4072 0.515 0.515
#> 3 3 0.246 0.505 0.732 0.3432 0.584 0.411
#> 4 4 0.314 0.527 0.692 0.1226 0.943 0.887
#> 5 5 0.445 0.583 0.769 0.1351 0.750 0.495
#> 6 6 0.466 0.526 0.747 0.0391 0.984 0.942
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
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 1 0.5946 0.78031 0.856 0.144
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 1 0.9775 0.20124 0.588 0.412
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 2 0.0376 0.68910 0.004 0.996
#> 91202998-760F-4421-B1C4-18639962EDDA 2 0.9909 0.45888 0.444 0.556
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.9815 0.51868 0.420 0.580
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 2 0.4298 0.71998 0.088 0.912
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 2 0.1414 0.69903 0.020 0.980
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.8909 0.69402 0.308 0.692
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.8555 0.70888 0.280 0.720
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.3431 0.71587 0.064 0.936
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 2 0.9358 0.65120 0.352 0.648
#> 784B2359-6064-4FAA-9311-7A852F061FBB 1 0.7056 0.71772 0.808 0.192
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 2 0.0376 0.68910 0.004 0.996
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 2 0.8499 0.70511 0.276 0.724
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 1 0.0376 0.80282 0.996 0.004
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.9491 0.62892 0.368 0.632
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.0376 0.80282 0.996 0.004
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 2 0.9954 0.39853 0.460 0.540
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 2 0.9044 0.68419 0.320 0.680
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.1843 0.81670 0.972 0.028
#> D7A50E95-777C-47A6-8F93-031CB4770633 1 0.3274 0.81720 0.940 0.060
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.0376 0.68910 0.004 0.996
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 1 0.9998 -0.20825 0.508 0.492
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 1 0.0376 0.80282 0.996 0.004
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#> E7B555A3-567B-4A44-8225-D269E73FB50B 2 0.5737 0.72415 0.136 0.864
#> 3CC95101-C35F-4761-9D41-3C35BD55B37E 1 0.9815 0.18053 0.580 0.420
#> F62E5A69-5E81-4B2A-8CC0-F4D6E188B187 1 0.0376 0.80282 0.996 0.004
#> C650633B-A369-4657-8693-FDFBF22BD34E 1 0.1414 0.81517 0.980 0.020
#> 5E514217-F0DB-49FD-9C5D-EB22628ED297 2 0.7950 0.71949 0.240 0.760
#> 6E1DB9BF-06FE-48B1-A2D8-EF2CE7591364 1 0.8555 0.61242 0.720 0.280
#> C9581CE3-58B6-45B4-B4B7-15F555FD84A4 1 0.6531 0.76364 0.832 0.168
#> F56C26ED-9358-485B-8867-EBA1CAA4E2A7 1 0.7376 0.72205 0.792 0.208
#> 45CA3F9E-40EE-43A4-AE57-FE51D4003844 2 0.9522 0.62041 0.372 0.628
#> 47EFA063-19C1-4E1F-ACE8-68D9BAD0B995 1 0.8713 0.57839 0.708 0.292
#> 8C30EA0F-0DA1-43C7-81AE-DE825A53F114 2 0.9896 0.46806 0.440 0.560
#> 2CE7477C-DD09-4B3A-AD65-C696BE8C9B11 1 0.0376 0.80282 0.996 0.004
#> 4DECB19A-290F-4CEB-BE25-AAF9B9E2B58F 1 0.0672 0.81026 0.992 0.008
#> 3DEA9B14-DF42-43A0-AC4A-32AE7A16218D 2 0.0376 0.68910 0.004 0.996
#> 9F57D45B-C62F-44C5-AB9D-0CB54BBA16F5 1 0.6531 0.76307 0.832 0.168
#> 54ACCFD9-A8D6-4E4C-9097-1A0BE258AA1B 1 0.0672 0.81026 0.992 0.008
#> 9EE67DE9-9B56-4773-8F6A-1036D31F568E 1 0.9866 0.11001 0.568 0.432
#> 1B1C9301-D6D6-4F6B-80A3-3603013AA951 1 0.9661 0.29579 0.608 0.392
#> DDDCDF00-FB0A-477B-891B-2EE5E0C8F61E 1 0.0938 0.81231 0.988 0.012
#> 34A3260D-AC4D-416F-ADF0-24013048BC46 1 0.9460 0.39752 0.636 0.364
#> 671C1840-9C1B-4AC1-9564-78802489F763 1 0.0376 0.80282 0.996 0.004
#> BA4F7841-9FC3-4CE6-ACA5-43FC36641640 1 0.0376 0.80282 0.996 0.004
#> 24A02CE5-28E7-457E-8B90-4EACA528B072 1 0.1633 0.81598 0.976 0.024
#> C7008665-F6DE-48B4-A0E7-6C388B72C609 2 0.8443 0.71140 0.272 0.728
#> 50F984AB-95C1-4D7B-A787-418CBB59D165 1 0.4815 0.80322 0.896 0.104
#> 5FFD2A6A-ED8A-44A9-9FC1-3106341C284A 2 0.4022 0.71936 0.080 0.920
#> 7481630E-5CBA-4A4A-A16F-E327BCEE11D3 1 0.7056 0.73853 0.808 0.192
#> 7B3E6643-C148-4266-A3A3-80BAB713DD3E 2 0.9635 0.59407 0.388 0.612
#> BA8564FA-8D4D-4B2F-A178-63209F887A05 1 0.7056 0.71772 0.808 0.192
#> 2FB578F6-E8B7-434D-9720-D448A26C1EFD 1 0.1633 0.81599 0.976 0.024
#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 1 0.7376 0.72205 0.792 0.208
#> 740FCE46-8A4A-4A6A-B79F-78A63D28E313 2 0.2423 0.70794 0.040 0.960
#> 523A5832-0C42-44A4-A58F-7011C3A567DC 1 0.0938 0.81231 0.988 0.012
#> A2C68C81-7371-4E0C-BFD1-EA868A7C9499 1 0.6973 0.74109 0.812 0.188
#> 2EB7025A-D932-4238-BD60-609B25150029 2 0.0376 0.68910 0.004 0.996
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 2 0.4022 0.71936 0.080 0.920
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 2 0.1843 0.70309 0.028 0.972
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 1 0.9710 0.26466 0.600 0.400
#> F081EA01-ED14-491B-9620-BF8F10A7431D 2 0.8327 0.71384 0.264 0.736
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 1 0.7056 0.73776 0.808 0.192
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 1 0.1414 0.81517 0.980 0.020
#> B54639CE-F721-4908-B758-309F148AD3C2 2 0.0376 0.68910 0.004 0.996
#> EB4294E1-3FBC-495C-A041-829A654B59C5 1 0.0376 0.80282 0.996 0.004
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 1 0.2043 0.81671 0.968 0.032
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.8861 0.69617 0.304 0.696
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 1 0.2043 0.81731 0.968 0.032
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.8909 0.69337 0.308 0.692
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 1 0.1414 0.81517 0.980 0.020
#> D34036E4-1122-42AE-B20F-F4C8515872A0 2 0.7219 0.72504 0.200 0.800
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 1 0.2603 0.81773 0.956 0.044
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 2 0.9944 0.42746 0.456 0.544
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 1 0.0938 0.81231 0.988 0.012
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.9983 0.33327 0.476 0.524
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.8861 0.69617 0.304 0.696
#> F3C13430-405E-432E-8F3E-0DD18E86087E 2 0.8555 0.70915 0.280 0.720
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.9209 0.66796 0.336 0.664
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 1 0.5294 0.79463 0.880 0.120
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 1 0.7376 0.72020 0.792 0.208
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.9323 0.65539 0.348 0.652
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 2 0.9988 0.35377 0.480 0.520
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.9000 0.69003 0.316 0.684
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.1843 0.81687 0.972 0.028
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 2 0.0376 0.68910 0.004 0.996
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 1 0.2236 0.81819 0.964 0.036
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.8813 0.69903 0.300 0.700
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 1 0.0376 0.80282 0.996 0.004
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 1 0.0376 0.80282 0.996 0.004
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 2 0.0376 0.68910 0.004 0.996
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 1 0.4161 0.81079 0.916 0.084
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 1 0.3114 0.81707 0.944 0.056
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 1 0.3431 0.81613 0.936 0.064
#> 343F031B-0095-429D-8212-AD0581DBB05B 1 1.0000 -0.24452 0.500 0.500
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 2 0.1633 0.70113 0.024 0.976
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.0376 0.80282 0.996 0.004
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 2 0.9427 0.63946 0.360 0.640
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 2 0.4431 0.72133 0.092 0.908
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 1 0.2778 0.81754 0.952 0.048
#> F9F33C38-A087-49FF-B994-3C9EE264F448 1 0.4939 0.80134 0.892 0.108
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 1 0.9248 0.47062 0.660 0.340
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 1 0.9815 0.18053 0.580 0.420
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 1 0.0938 0.81231 0.988 0.012
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.3114 0.81801 0.944 0.056
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 1 0.4298 0.80802 0.912 0.088
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 2 0.9044 0.68395 0.320 0.680
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 1 0.0376 0.80282 0.996 0.004
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.9552 0.61356 0.376 0.624
#> FC7821F4-6495-4545-A22A-764BB99B3F79 1 0.3431 0.81595 0.936 0.064
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.0376 0.68910 0.004 0.996
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 1 0.3733 0.81432 0.928 0.072
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.9323 0.65630 0.348 0.652
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 1 0.6887 0.74648 0.816 0.184
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 2 0.1414 0.69904 0.020 0.980
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 2 0.9775 0.53584 0.412 0.588
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 1 0.9286 0.45513 0.656 0.344
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 1 0.0938 0.81231 0.988 0.012
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 2 0.0376 0.68910 0.004 0.996
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.8909 0.69365 0.308 0.692
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 1 0.1414 0.81517 0.980 0.020
#> BEE081CA-8420-4314-88A0-286BB30FFD65 1 0.9552 0.35402 0.624 0.376
#> C464CD1D-4519-48E8-A18A-403F691E5702 2 0.9896 0.46453 0.440 0.560
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.0376 0.80282 0.996 0.004
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.6531 0.72421 0.168 0.832
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 1 0.8386 0.63252 0.732 0.268
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.1633 0.81606 0.976 0.024
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.3733 0.81419 0.928 0.072
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.4413 0.514849 0.008 0.832 0.160
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 2 0.5791 0.619154 0.168 0.784 0.048
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 1 0.0237 0.810453 0.996 0.004 0.000
#> 91202998-760F-4421-B1C4-18639962EDDA 2 0.6420 0.486908 0.288 0.688 0.024
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.5958 0.456068 0.300 0.692 0.008
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 1 0.5591 0.665747 0.696 0.304 0.000
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 1 0.2261 0.829598 0.932 0.068 0.000
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.6235 0.170550 0.436 0.564 0.000
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.6274 0.083894 0.456 0.544 0.000
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 1 0.4235 0.806580 0.824 0.176 0.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 2 0.5948 0.343738 0.360 0.640 0.000
#> 784B2359-6064-4FAA-9311-7A852F061FBB 2 0.8474 0.011065 0.092 0.504 0.404
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 1 0.0237 0.810453 0.996 0.004 0.000
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 2 0.6280 0.040898 0.460 0.540 0.000
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.2772 0.752273 0.004 0.080 0.916
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.6126 0.365589 0.352 0.644 0.004
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 3 0.3941 0.762076 0.000 0.156 0.844
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 2 0.5404 0.505342 0.256 0.740 0.004
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 2 0.6126 0.259626 0.400 0.600 0.000
#> A08E2707-DDB0-40FE-828F-14720768FB05 2 0.6476 -0.192110 0.004 0.548 0.448
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.4974 0.397066 0.000 0.764 0.236
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 1 0.0237 0.810453 0.996 0.004 0.000
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 2 0.5816 0.560913 0.224 0.752 0.024
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 3 0.2448 0.755864 0.000 0.076 0.924
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 1 0.3941 0.817708 0.844 0.156 0.000
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 1 0.0237 0.810453 0.996 0.004 0.000
#> 1139D935-739E-4C42-BFCB-06021A85932E 1 0.0237 0.810453 0.996 0.004 0.000
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.5553 0.318167 0.004 0.724 0.272
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.4575 0.738836 0.004 0.184 0.812
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.5467 0.597399 0.072 0.816 0.112
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 2 0.5775 0.514723 0.260 0.728 0.012
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 2 0.5319 0.624935 0.104 0.824 0.072
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.4861 0.573536 0.192 0.800 0.008
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.6126 0.261036 0.400 0.600 0.000
#> 2846A3AC-D102-4E37-9B72-139ED727157A 1 0.0592 0.813264 0.988 0.012 0.000
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.3993 0.612178 0.052 0.884 0.064
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 2 0.5754 0.309277 0.004 0.700 0.296
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 2 0.8763 0.342038 0.136 0.552 0.312
#> 150F5B77-4848-4D68-800A-0A0236C3661F 1 0.2711 0.832393 0.912 0.088 0.000
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 2 0.6468 -0.165481 0.004 0.552 0.444
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.6062 0.292179 0.384 0.616 0.000
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.6235 0.169397 0.436 0.564 0.000
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 2 0.6597 0.437269 0.312 0.664 0.024
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 1 0.5178 0.704937 0.744 0.256 0.000
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.5085 0.623700 0.092 0.836 0.072
#> 1447B543-D3AC-41B5-878F-B382FE49421B 2 0.5325 0.370564 0.004 0.748 0.248
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 2 0.5473 0.636619 0.140 0.808 0.052
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 2 0.4586 0.630342 0.096 0.856 0.048
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.6386 0.509210 0.004 0.412 0.584
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 2 0.5285 0.374192 0.004 0.752 0.244
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 1 0.0237 0.810453 0.996 0.004 0.000
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 3 0.5397 0.686978 0.000 0.280 0.720
#> D9225689-21E0-478A-8F79-C26542938B8D 2 0.3983 0.608654 0.144 0.852 0.004
#> FC3BA46D-57F6-424C-8D62-16C441035969 1 0.6235 0.330458 0.564 0.436 0.000
#> 045CFFE6-4736-42F2-9340-C37690E47882 3 0.6330 0.531620 0.004 0.396 0.600
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 1 0.0237 0.810453 0.996 0.004 0.000
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 2 0.3755 0.551298 0.008 0.872 0.120
#> E94B217F-C5DC-4F42-8135-E81F338914B5 1 0.3879 0.817357 0.848 0.152 0.000
#> AE4C3956-76DF-4059-8D69-3D764F31817F 1 0.4452 0.786284 0.808 0.192 0.000
#> 33D6A38E-CD99-437B-99E0-04E72582F777 2 0.4676 0.633140 0.112 0.848 0.040
#> 8379051C-5847-42B5-AC5C-A128C166AB97 2 0.4755 0.474364 0.008 0.808 0.184
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 2 0.4931 0.404198 0.000 0.768 0.232
#> 40A16429-229E-4F40-BFC7-263554438F99 1 0.4235 0.808867 0.824 0.176 0.000
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 2 0.6057 0.391331 0.340 0.656 0.004
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 2 0.5733 0.409458 0.324 0.676 0.000
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 2 0.5728 0.330413 0.008 0.720 0.272
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 2 0.4342 0.631355 0.120 0.856 0.024
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.3771 0.563625 0.012 0.876 0.112
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 2 0.3802 0.595926 0.032 0.888 0.080
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 2 0.6111 0.269272 0.396 0.604 0.000
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 2 0.5455 0.500375 0.028 0.788 0.184
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#> DDDCDF00-FB0A-477B-891B-2EE5E0C8F61E 3 0.6410 0.496488 0.004 0.420 0.576
#> 34A3260D-AC4D-416F-ADF0-24013048BC46 2 0.4676 0.634890 0.112 0.848 0.040
#> 671C1840-9C1B-4AC1-9564-78802489F763 3 0.4178 0.758269 0.000 0.172 0.828
#> BA4F7841-9FC3-4CE6-ACA5-43FC36641640 3 0.2625 0.758646 0.000 0.084 0.916
#> 24A02CE5-28E7-457E-8B90-4EACA528B072 3 0.6505 0.398265 0.004 0.468 0.528
#> C7008665-F6DE-48B4-A0E7-6C388B72C609 2 0.6286 0.060694 0.464 0.536 0.000
#> 50F984AB-95C1-4D7B-A787-418CBB59D165 2 0.4912 0.470518 0.008 0.796 0.196
#> 5FFD2A6A-ED8A-44A9-9FC1-3106341C284A 1 0.4750 0.769100 0.784 0.216 0.000
#> 7481630E-5CBA-4A4A-A16F-E327BCEE11D3 2 0.4209 0.563135 0.020 0.860 0.120
#> 7B3E6643-C148-4266-A3A3-80BAB713DD3E 2 0.6008 0.399530 0.332 0.664 0.004
#> BA8564FA-8D4D-4B2F-A178-63209F887A05 2 0.8474 0.011065 0.092 0.504 0.404
#> 2FB578F6-E8B7-434D-9720-D448A26C1EFD 3 0.6244 0.451675 0.000 0.440 0.560
#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 2 0.4519 0.575875 0.032 0.852 0.116
#> 740FCE46-8A4A-4A6A-B79F-78A63D28E313 1 0.4178 0.812132 0.828 0.172 0.000
#> 523A5832-0C42-44A4-A58F-7011C3A567DC 3 0.6410 0.496488 0.004 0.420 0.576
#> A2C68C81-7371-4E0C-BFD1-EA868A7C9499 2 0.4068 0.560237 0.016 0.864 0.120
#> 2EB7025A-D932-4238-BD60-609B25150029 1 0.0237 0.810453 0.996 0.004 0.000
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 1 0.4750 0.769100 0.784 0.216 0.000
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 1 0.3686 0.822229 0.860 0.140 0.000
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 2 0.4744 0.627514 0.136 0.836 0.028
#> F081EA01-ED14-491B-9620-BF8F10A7431D 2 0.6299 0.002043 0.476 0.524 0.000
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 2 0.3771 0.563625 0.012 0.876 0.112
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 2 0.5588 0.320083 0.004 0.720 0.276
#> B54639CE-F721-4908-B758-309F148AD3C2 1 0.0592 0.813264 0.988 0.012 0.000
#> EB4294E1-3FBC-495C-A041-829A654B59C5 3 0.1411 0.743916 0.000 0.036 0.964
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 2 0.6228 0.094200 0.004 0.624 0.372
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.6244 0.159243 0.440 0.560 0.000
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 2 0.6513 -0.246234 0.004 0.520 0.476
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.6180 0.213567 0.416 0.584 0.000
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 2 0.6057 0.210461 0.004 0.656 0.340
#> D34036E4-1122-42AE-B20F-F4C8515872A0 1 0.6235 0.330458 0.564 0.436 0.000
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 2 0.5285 0.374192 0.004 0.752 0.244
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 2 0.6621 0.497265 0.284 0.684 0.032
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 3 0.6410 0.496488 0.004 0.420 0.576
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.5420 0.528087 0.240 0.752 0.008
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.6244 0.159243 0.440 0.560 0.000
#> F3C13430-405E-432E-8F3E-0DD18E86087E 2 0.6308 -0.027469 0.492 0.508 0.000
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.6045 0.301762 0.380 0.620 0.000
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 2 0.4346 0.485784 0.000 0.816 0.184
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.3690 0.575987 0.016 0.884 0.100
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.6045 0.311541 0.380 0.620 0.000
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 2 0.6737 0.497908 0.272 0.688 0.040
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.6386 0.225506 0.412 0.584 0.004
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 2 0.6521 -0.316736 0.004 0.500 0.496
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 1 0.0237 0.810453 0.996 0.004 0.000
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 2 0.6104 0.151740 0.004 0.648 0.348
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.6215 0.175741 0.428 0.572 0.000
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.2682 0.751848 0.004 0.076 0.920
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.1411 0.743916 0.000 0.036 0.964
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 1 0.0237 0.810453 0.996 0.004 0.000
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 2 0.4931 0.441035 0.004 0.784 0.212
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.5016 0.389958 0.000 0.760 0.240
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 2 0.5070 0.410936 0.004 0.772 0.224
#> 343F031B-0095-429D-8212-AD0581DBB05B 2 0.4931 0.553120 0.212 0.784 0.004
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 1 0.3412 0.829567 0.876 0.124 0.000
#> 03A226C5-398D-41D2-BB72-C97A373CD512 3 0.2448 0.755864 0.000 0.076 0.924
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 2 0.5926 0.360425 0.356 0.644 0.000
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 1 0.4654 0.774790 0.792 0.208 0.000
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 2 0.5216 0.365087 0.000 0.740 0.260
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.4682 0.471985 0.004 0.804 0.192
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.2651 0.627574 0.060 0.928 0.012
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.4261 0.610905 0.140 0.848 0.012
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.6386 0.509210 0.004 0.412 0.584
#> 65B37014-F125-436A-AF3C-5A565AA990B8 2 0.6247 0.103421 0.004 0.620 0.376
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 2 0.7256 -0.068170 0.028 0.532 0.440
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 2 0.6126 0.259124 0.400 0.600 0.000
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.1411 0.743916 0.000 0.036 0.964
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.5835 0.382081 0.340 0.660 0.000
#> FC7821F4-6495-4545-A22A-764BB99B3F79 2 0.5919 0.336393 0.012 0.712 0.276
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 1 0.2796 0.829036 0.908 0.092 0.000
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.4796 0.423803 0.000 0.780 0.220
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.5988 0.329522 0.368 0.632 0.000
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.3682 0.558775 0.008 0.876 0.116
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 1 0.2261 0.829602 0.932 0.068 0.000
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 2 0.5815 0.450405 0.304 0.692 0.004
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.4479 0.631188 0.096 0.860 0.044
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.6386 0.509210 0.004 0.412 0.584
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 1 0.1289 0.819127 0.968 0.032 0.000
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.6235 0.174197 0.436 0.564 0.000
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 2 0.5623 0.314727 0.004 0.716 0.280
#> BEE081CA-8420-4314-88A0-286BB30FFD65 2 0.5884 0.633696 0.148 0.788 0.064
#> C464CD1D-4519-48E8-A18A-403F691E5702 2 0.6161 0.488005 0.288 0.696 0.016
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 3 0.2878 0.759651 0.000 0.096 0.904
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 1 0.6026 0.502485 0.624 0.376 0.000
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.4075 0.606837 0.048 0.880 0.072
#> A563359B-0D55-4826-9229-62A89143C1C6 2 0.5754 0.284818 0.004 0.700 0.296
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 2 0.5812 0.360035 0.012 0.724 0.264
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.6084 0.5299 0.152 0.696 0.148 0.004
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 2 0.4972 0.6452 0.040 0.808 0.060 0.092
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 4 0.0592 0.7846 0.000 0.000 0.016 0.984
#> 91202998-760F-4421-B1C4-18639962EDDA 2 0.5408 0.5546 0.024 0.748 0.040 0.188
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.4218 0.5446 0.008 0.796 0.012 0.184
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 4 0.5313 0.5603 0.000 0.376 0.016 0.608
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 4 0.1978 0.8196 0.000 0.068 0.004 0.928
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.4978 0.3438 0.000 0.664 0.012 0.324
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.5093 0.2827 0.000 0.640 0.012 0.348
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 4 0.3626 0.8107 0.000 0.184 0.004 0.812
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 2 0.4567 0.4639 0.000 0.740 0.016 0.244
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.4494 0.5138 0.004 0.132 0.808 0.056
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 4 0.0592 0.7846 0.000 0.000 0.016 0.984
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 2 0.5514 0.2498 0.004 0.620 0.020 0.356
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.4888 0.5779 0.412 0.000 0.588 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.4468 0.4835 0.000 0.752 0.016 0.232
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.4424 0.6257 0.812 0.088 0.100 0.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 2 0.3560 0.5778 0.004 0.844 0.012 0.140
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 2 0.4718 0.4109 0.000 0.708 0.012 0.280
#> A08E2707-DDB0-40FE-828F-14720768FB05 2 0.7644 -0.1063 0.380 0.412 0.208 0.000
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.6723 0.4352 0.188 0.616 0.196 0.000
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 4 0.0592 0.7846 0.000 0.000 0.016 0.984
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 2 0.4185 0.6125 0.012 0.832 0.036 0.120
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 1 0.0188 0.5347 0.996 0.000 0.004 0.000
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 4 0.3539 0.8158 0.000 0.176 0.004 0.820
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 4 0.0592 0.7846 0.000 0.000 0.016 0.984
#> 1139D935-739E-4C42-BFCB-06021A85932E 4 0.0592 0.7846 0.000 0.000 0.016 0.984
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.7143 0.3579 0.208 0.560 0.232 0.000
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.5157 0.6395 0.284 0.028 0.688 0.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.5369 0.6090 0.116 0.776 0.084 0.024
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 2 0.4199 0.5776 0.000 0.804 0.032 0.164
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 2 0.4840 0.6335 0.052 0.816 0.088 0.044
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.4173 0.6170 0.004 0.828 0.048 0.120
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.4621 0.4119 0.000 0.708 0.008 0.284
#> 2846A3AC-D102-4E37-9B72-139ED727157A 4 0.0804 0.7949 0.000 0.012 0.008 0.980
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.4734 0.6251 0.064 0.816 0.096 0.024
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 2 0.7117 0.3460 0.228 0.564 0.208 0.000
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 2 0.8896 0.2647 0.264 0.464 0.184 0.088
#> 150F5B77-4848-4D68-800A-0A0236C3661F 4 0.2401 0.8261 0.000 0.092 0.004 0.904
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 2 0.7673 -0.0734 0.368 0.416 0.216 0.000
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.4606 0.4315 0.000 0.724 0.012 0.264
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.4978 0.3440 0.000 0.664 0.012 0.324
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 2 0.6212 0.4873 0.012 0.684 0.092 0.212
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 4 0.5228 0.6333 0.000 0.312 0.024 0.664
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.5419 0.6347 0.060 0.784 0.100 0.056
#> 1447B543-D3AC-41B5-878F-B382FE49421B 2 0.6912 0.4000 0.192 0.592 0.216 0.000
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 2 0.4662 0.6447 0.048 0.828 0.056 0.068
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 2 0.5048 0.6422 0.060 0.808 0.068 0.064
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.2021 0.7415 0.040 0.024 0.936 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 2 0.6931 0.4008 0.184 0.588 0.228 0.000
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 4 0.0592 0.7846 0.000 0.000 0.016 0.984
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.6096 0.5930 0.680 0.184 0.136 0.000
#> D9225689-21E0-478A-8F79-C26542938B8D 2 0.3496 0.6394 0.004 0.872 0.052 0.072
#> FC3BA46D-57F6-424C-8D62-16C441035969 2 0.5396 -0.1146 0.000 0.524 0.012 0.464
#> 045CFFE6-4736-42F2-9340-C37690E47882 3 0.2363 0.7361 0.056 0.024 0.920 0.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 4 0.0592 0.7846 0.000 0.000 0.016 0.984
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 2 0.5119 0.5769 0.112 0.764 0.124 0.000
#> E94B217F-C5DC-4F42-8135-E81F338914B5 4 0.4057 0.8116 0.000 0.160 0.028 0.812
#> AE4C3956-76DF-4059-8D69-3D764F31817F 4 0.3870 0.7820 0.000 0.208 0.004 0.788
#> 33D6A38E-CD99-437B-99E0-04E72582F777 2 0.5272 0.6451 0.032 0.788 0.096 0.084
#> 8379051C-5847-42B5-AC5C-A128C166AB97 2 0.6159 0.5032 0.132 0.672 0.196 0.000
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 2 0.6781 0.4296 0.180 0.608 0.212 0.000
#> 40A16429-229E-4F40-BFC7-263554438F99 4 0.4049 0.7868 0.000 0.212 0.008 0.780
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 2 0.4472 0.4969 0.000 0.760 0.020 0.220
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 2 0.4137 0.5091 0.000 0.780 0.012 0.208
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 2 0.7260 0.3647 0.204 0.564 0.228 0.004
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 2 0.4475 0.6466 0.016 0.828 0.080 0.076
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.4956 0.5857 0.108 0.776 0.116 0.000
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 2 0.4862 0.6100 0.080 0.800 0.108 0.012
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 2 0.4690 0.4161 0.000 0.712 0.012 0.276
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 2 0.6477 0.5116 0.164 0.668 0.160 0.008
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.5293 0.6030 0.104 0.776 0.104 0.016
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 4 0.4049 0.7868 0.000 0.212 0.008 0.780
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 2 0.4630 0.6238 0.064 0.820 0.096 0.020
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 2 0.6475 0.4705 0.172 0.644 0.184 0.000
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 2 0.6262 0.6198 0.068 0.728 0.136 0.068
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#> F56C26ED-9358-485B-8867-EBA1CAA4E2A7 2 0.5277 0.5905 0.116 0.768 0.108 0.008
#> 45CA3F9E-40EE-43A4-AE57-FE51D4003844 2 0.4248 0.4927 0.000 0.768 0.012 0.220
#> 47EFA063-19C1-4E1F-ACE8-68D9BAD0B995 2 0.6094 0.6133 0.088 0.740 0.120 0.052
#> 8C30EA0F-0DA1-43C7-81AE-DE825A53F114 2 0.5060 0.5576 0.004 0.756 0.052 0.188
#> 2CE7477C-DD09-4B3A-AD65-C696BE8C9B11 1 0.4010 0.6086 0.836 0.064 0.100 0.000
#> 4DECB19A-290F-4CEB-BE25-AAF9B9E2B58F 1 0.6295 0.5730 0.656 0.212 0.132 0.000
#> 3DEA9B14-DF42-43A0-AC4A-32AE7A16218D 4 0.0592 0.7846 0.000 0.000 0.016 0.984
#> 9F57D45B-C62F-44C5-AB9D-0CB54BBA16F5 2 0.6447 0.5290 0.136 0.684 0.164 0.016
#> 54ACCFD9-A8D6-4E4C-9097-1A0BE258AA1B 2 0.6963 0.0261 0.424 0.464 0.112 0.000
#> 9EE67DE9-9B56-4773-8F6A-1036D31F568E 2 0.3722 0.6416 0.016 0.868 0.044 0.072
#> 1B1C9301-D6D6-4F6B-80A3-3603013AA951 2 0.4159 0.6460 0.008 0.840 0.080 0.072
#> DDDCDF00-FB0A-477B-891B-2EE5E0C8F61E 3 0.1936 0.7353 0.032 0.028 0.940 0.000
#> 34A3260D-AC4D-416F-ADF0-24013048BC46 2 0.4977 0.6453 0.028 0.804 0.096 0.072
#> 671C1840-9C1B-4AC1-9564-78802489F763 1 0.4840 0.6244 0.784 0.100 0.116 0.000
#> BA4F7841-9FC3-4CE6-ACA5-43FC36641640 1 0.0657 0.5377 0.984 0.004 0.012 0.000
#> 24A02CE5-28E7-457E-8B90-4EACA528B072 1 0.7550 0.3478 0.464 0.332 0.204 0.000
#> C7008665-F6DE-48B4-A0E7-6C388B72C609 2 0.5110 0.2719 0.000 0.636 0.012 0.352
#> 50F984AB-95C1-4D7B-A787-418CBB59D165 2 0.6282 0.4935 0.160 0.664 0.176 0.000
#> 5FFD2A6A-ED8A-44A9-9FC1-3106341C284A 4 0.4072 0.7449 0.000 0.252 0.000 0.748
#> 7481630E-5CBA-4A4A-A16F-E327BCEE11D3 2 0.5302 0.5803 0.116 0.760 0.120 0.004
#> 7B3E6643-C148-4266-A3A3-80BAB713DD3E 2 0.4508 0.5047 0.004 0.764 0.016 0.216
#> BA8564FA-8D4D-4B2F-A178-63209F887A05 3 0.4494 0.5138 0.004 0.132 0.808 0.056
#> 2FB578F6-E8B7-434D-9720-D448A26C1EFD 1 0.7340 0.4094 0.500 0.324 0.176 0.000
#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 2 0.5277 0.5905 0.116 0.768 0.108 0.008
#> 740FCE46-8A4A-4A6A-B79F-78A63D28E313 4 0.3688 0.7972 0.000 0.208 0.000 0.792
#> 523A5832-0C42-44A4-A58F-7011C3A567DC 3 0.1936 0.7353 0.032 0.028 0.940 0.000
#> A2C68C81-7371-4E0C-BFD1-EA868A7C9499 2 0.5010 0.5819 0.120 0.772 0.108 0.000
#> 2EB7025A-D932-4238-BD60-609B25150029 4 0.0592 0.7846 0.000 0.000 0.016 0.984
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 4 0.4103 0.7411 0.000 0.256 0.000 0.744
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 4 0.4199 0.8021 0.000 0.164 0.032 0.804
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 2 0.4582 0.6477 0.020 0.824 0.072 0.084
#> F081EA01-ED14-491B-9620-BF8F10A7431D 2 0.5284 0.2221 0.000 0.616 0.016 0.368
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 2 0.4956 0.5857 0.108 0.776 0.116 0.000
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 2 0.7146 0.3551 0.212 0.560 0.228 0.000
#> B54639CE-F721-4908-B758-309F148AD3C2 4 0.0937 0.7934 0.000 0.012 0.012 0.976
#> EB4294E1-3FBC-495C-A041-829A654B59C5 3 0.4996 0.5260 0.484 0.000 0.516 0.000
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 2 0.7468 0.1785 0.304 0.492 0.204 0.000
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.4978 0.3401 0.000 0.664 0.012 0.324
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 1 0.7568 0.1610 0.408 0.400 0.192 0.000
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.4820 0.3795 0.000 0.692 0.012 0.296
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 2 0.7408 0.2604 0.276 0.512 0.212 0.000
#> D34036E4-1122-42AE-B20F-F4C8515872A0 2 0.5396 -0.1146 0.000 0.524 0.012 0.464
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 2 0.6903 0.4071 0.184 0.592 0.224 0.000
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 2 0.5603 0.5598 0.024 0.744 0.056 0.176
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 3 0.1936 0.7353 0.032 0.028 0.940 0.000
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.4137 0.5889 0.008 0.824 0.028 0.140
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.4978 0.3401 0.000 0.664 0.012 0.324
#> F3C13430-405E-432E-8F3E-0DD18E86087E 2 0.5279 0.1879 0.000 0.588 0.012 0.400
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.4576 0.4383 0.000 0.728 0.012 0.260
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 2 0.6360 0.5001 0.164 0.656 0.180 0.000
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.4965 0.5956 0.100 0.784 0.112 0.004
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.4606 0.4441 0.000 0.724 0.012 0.264
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 2 0.7610 0.2486 0.008 0.500 0.316 0.176
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.4908 0.3897 0.000 0.692 0.016 0.292
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.7573 0.2461 0.432 0.372 0.196 0.000
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 4 0.0592 0.7846 0.000 0.000 0.016 0.984
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 2 0.7433 0.2147 0.276 0.508 0.216 0.000
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.5026 0.3458 0.000 0.672 0.016 0.312
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.4898 0.5746 0.416 0.000 0.584 0.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.4996 0.5260 0.484 0.000 0.516 0.000
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 4 0.0592 0.7846 0.000 0.000 0.016 0.984
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 2 0.6437 0.4744 0.168 0.648 0.184 0.000
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.6788 0.4256 0.188 0.608 0.204 0.000
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 2 0.6739 0.4354 0.172 0.612 0.216 0.000
#> 343F031B-0095-429D-8212-AD0581DBB05B 2 0.3787 0.6015 0.000 0.840 0.036 0.124
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 4 0.2814 0.8255 0.000 0.132 0.000 0.868
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.0188 0.5347 0.996 0.000 0.004 0.000
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 2 0.4188 0.4754 0.000 0.752 0.004 0.244
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 4 0.4284 0.7613 0.000 0.224 0.012 0.764
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 2 0.6978 0.3949 0.208 0.584 0.208 0.000
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.6163 0.5058 0.164 0.676 0.160 0.000
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.3279 0.6385 0.028 0.888 0.068 0.016
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.4213 0.6382 0.004 0.832 0.072 0.092
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.2021 0.7415 0.040 0.024 0.936 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 2 0.7481 0.1503 0.316 0.484 0.200 0.000
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.4788 0.4735 0.036 0.180 0.776 0.008
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 2 0.4718 0.4094 0.000 0.708 0.012 0.280
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.4996 0.5260 0.484 0.000 0.516 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.4212 0.4980 0.000 0.772 0.012 0.216
#> FC7821F4-6495-4545-A22A-764BB99B3F79 2 0.7264 0.3657 0.212 0.564 0.220 0.004
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 4 0.2867 0.8246 0.000 0.104 0.012 0.884
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.6646 0.4471 0.172 0.624 0.204 0.000
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.4516 0.4521 0.000 0.736 0.012 0.252
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.5063 0.5821 0.108 0.768 0.124 0.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 4 0.2048 0.8174 0.000 0.064 0.008 0.928
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 2 0.4098 0.5330 0.000 0.784 0.012 0.204
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.4736 0.6426 0.020 0.812 0.108 0.060
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.2021 0.7415 0.040 0.024 0.936 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 4 0.1510 0.7999 0.000 0.028 0.016 0.956
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.4957 0.3505 0.000 0.668 0.012 0.320
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 2 0.7146 0.3528 0.212 0.560 0.228 0.000
#> BEE081CA-8420-4314-88A0-286BB30FFD65 2 0.4890 0.6423 0.052 0.816 0.060 0.072
#> C464CD1D-4519-48E8-A18A-403F691E5702 2 0.4517 0.5568 0.008 0.792 0.028 0.172
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.3168 0.5868 0.884 0.056 0.060 0.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 4 0.5668 0.3562 0.000 0.444 0.024 0.532
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.5045 0.6217 0.076 0.800 0.096 0.028
#> A563359B-0D55-4826-9229-62A89143C1C6 2 0.7252 0.3242 0.232 0.544 0.224 0.000
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 2 0.7148 0.3911 0.200 0.580 0.216 0.004
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.3210 0.70074 0.000 0.788 0.000 0.212 0.000
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 4 0.4414 0.33210 0.000 0.376 0.004 0.616 0.004
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 5 0.1197 0.76507 0.000 0.000 0.000 0.048 0.952
#> 91202998-760F-4421-B1C4-18639962EDDA 4 0.4000 0.67630 0.000 0.172 0.028 0.788 0.012
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 4 0.2763 0.70893 0.000 0.148 0.000 0.848 0.004
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 4 0.4182 -0.05490 0.000 0.000 0.000 0.600 0.400
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 5 0.3143 0.80942 0.000 0.000 0.000 0.204 0.796
#> 54337CE9-6F12-4712-8131-4B83F3216343 4 0.1809 0.70732 0.000 0.012 0.000 0.928 0.060
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 4 0.2470 0.68366 0.000 0.012 0.000 0.884 0.104
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 5 0.4101 0.70637 0.000 0.000 0.000 0.372 0.628
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 4 0.1626 0.75067 0.000 0.044 0.000 0.940 0.016
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.3955 0.59687 0.000 0.028 0.804 0.148 0.020
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 5 0.1197 0.76507 0.000 0.000 0.000 0.048 0.952
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 4 0.3799 0.65325 0.000 0.032 0.012 0.812 0.144
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.4940 0.57922 0.392 0.032 0.576 0.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 4 0.2006 0.74756 0.000 0.072 0.000 0.916 0.012
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.4665 0.69973 0.692 0.260 0.048 0.000 0.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 4 0.3366 0.65668 0.000 0.212 0.000 0.784 0.004
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 4 0.1018 0.73489 0.000 0.016 0.000 0.968 0.016
#> A08E2707-DDB0-40FE-828F-14720768FB05 2 0.4798 0.36272 0.236 0.712 0.028 0.024 0.000
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.1544 0.70281 0.000 0.932 0.000 0.068 0.000
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 5 0.1197 0.76507 0.000 0.000 0.000 0.048 0.952
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 4 0.4106 0.57719 0.000 0.256 0.020 0.724 0.000
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 1 0.0955 0.56865 0.968 0.028 0.000 0.000 0.004
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 5 0.4030 0.73270 0.000 0.000 0.000 0.352 0.648
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 5 0.1197 0.76507 0.000 0.000 0.000 0.048 0.952
#> 1139D935-739E-4C42-BFCB-06021A85932E 5 0.1197 0.76507 0.000 0.000 0.000 0.048 0.952
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.1569 0.66377 0.012 0.948 0.008 0.032 0.000
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.4454 0.67481 0.260 0.028 0.708 0.004 0.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.4161 0.48453 0.000 0.608 0.000 0.392 0.000
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 4 0.3522 0.65237 0.000 0.212 0.004 0.780 0.004
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 4 0.4562 -0.16209 0.000 0.492 0.008 0.500 0.000
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 4 0.3707 0.55256 0.000 0.284 0.000 0.716 0.000
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 4 0.1997 0.74057 0.000 0.036 0.000 0.924 0.040
#> 2846A3AC-D102-4E37-9B72-139ED727157A 5 0.2020 0.78557 0.000 0.000 0.000 0.100 0.900
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.4283 0.28874 0.000 0.544 0.000 0.456 0.000
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 2 0.2701 0.65952 0.044 0.896 0.012 0.048 0.000
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 2 0.8142 0.21070 0.152 0.372 0.104 0.360 0.012
#> 150F5B77-4848-4D68-800A-0A0236C3661F 5 0.3424 0.80957 0.000 0.000 0.000 0.240 0.760
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 2 0.4692 0.37930 0.212 0.732 0.036 0.020 0.000
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 4 0.0771 0.73797 0.000 0.020 0.000 0.976 0.004
#> A179B59A-EECC-4692-B008-5117800D7C8B 4 0.1628 0.70747 0.000 0.008 0.000 0.936 0.056
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 4 0.3854 0.69966 0.000 0.076 0.080 0.828 0.016
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 5 0.4440 0.41728 0.000 0.000 0.004 0.468 0.528
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 4 0.4302 -0.06997 0.000 0.480 0.000 0.520 0.000
#> 1447B543-D3AC-41B5-878F-B382FE49421B 2 0.1901 0.69216 0.004 0.928 0.012 0.056 0.000
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 4 0.4219 0.19057 0.000 0.416 0.000 0.584 0.000
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 4 0.4278 0.07641 0.000 0.452 0.000 0.548 0.000
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.1557 0.77488 0.008 0.052 0.940 0.000 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 2 0.1282 0.68364 0.000 0.952 0.004 0.044 0.000
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 5 0.1197 0.76507 0.000 0.000 0.000 0.048 0.952
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.5095 0.61581 0.560 0.400 0.040 0.000 0.000
#> D9225689-21E0-478A-8F79-C26542938B8D 4 0.3999 0.43421 0.000 0.344 0.000 0.656 0.000
#> FC3BA46D-57F6-424C-8D62-16C441035969 4 0.3491 0.47722 0.000 0.004 0.000 0.768 0.228
#> 045CFFE6-4736-42F2-9340-C37690E47882 3 0.1965 0.77077 0.024 0.052 0.924 0.000 0.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 5 0.1197 0.76507 0.000 0.000 0.000 0.048 0.952
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 2 0.3796 0.61372 0.000 0.700 0.000 0.300 0.000
#> E94B217F-C5DC-4F42-8135-E81F338914B5 5 0.4306 0.74098 0.000 0.000 0.012 0.328 0.660
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#> D57E89FF-CC54-4FE9-A99B-2E75D407AB91 4 0.5691 0.64346 0.004 0.140 0.032 0.700 0.124
#> 659F3E30-3F80-49AF-9713-824F8D42BA74 4 0.2395 0.74223 0.000 0.048 0.024 0.912 0.016
#> 29E8ADB9-3F5D-497A-9A6B-85218AE2DB14 2 0.4420 0.69046 0.020 0.740 0.012 0.224 0.004
#> 73B58A54-E759-44FE-8B84-70D60C78066D 4 0.1106 0.73529 0.000 0.012 0.000 0.964 0.024
#> 4001EE2D-F208-465E-B718-01CCB9BD1C17 2 0.4294 0.24329 0.000 0.532 0.000 0.468 0.000
#> AFE61E30-D425-40CC-BC57-C210A0D03EFE 1 0.0955 0.56865 0.968 0.028 0.000 0.000 0.004
#> C06D79D5-4D8A-47D3-97CE-0E9BA204347C 5 0.1197 0.76507 0.000 0.000 0.000 0.048 0.952
#> 3975BE32-7E20-4EFC-9122-FE468544C5D9 2 0.2439 0.72411 0.000 0.876 0.004 0.120 0.000
#> 0FDC5030-92FC-44B5-AE62-6EC3EA9290BB 3 0.4440 0.50558 0.468 0.004 0.528 0.000 0.000
#> 8E3F8687-B00B-4FA9-84F2-F731B169FC45 5 0.3561 0.80080 0.000 0.000 0.000 0.260 0.740
#> 45CEDF59-BC7A-4D86-8C2D-9A91AC141D30 2 0.5767 0.55426 0.036 0.600 0.044 0.320 0.000
#> 4043BFE7-72A7-4A95-8CB2-53FDD574B7EA 5 0.1197 0.76507 0.000 0.000 0.000 0.048 0.952
#> 64D465E7-0DB8-46A1-8BF2-BBF59D23B7EB 2 0.1569 0.66377 0.012 0.948 0.008 0.032 0.000
#> 9824DFB4-0A1A-4BA4-B2DC-5348DA3D3AE6 2 0.5112 0.66574 0.032 0.700 0.028 0.236 0.004
#> 50ECFB2A-FF9D-4A8A-91CB-3902D3B670A0 2 0.3932 0.59106 0.000 0.672 0.000 0.328 0.000
#> 755D805B-B9F4-41D3-ACA7-2BB599C3D529 5 0.4060 0.72162 0.000 0.000 0.000 0.360 0.640
#> 0BA34100-8588-47B5-A962-4BD1916645B6 4 0.5735 0.58489 0.036 0.152 0.092 0.708 0.012
#> 9CE2E8D4-1AD1-4546-AD5D-D58193F79096 4 0.3854 0.69966 0.000 0.076 0.080 0.828 0.016
#> 92D7DB12-B0E0-4072-98FB-34B112E7728D 2 0.4666 0.53028 0.148 0.768 0.036 0.048 0.000
#> 79FD2101-0A9A-4EA7-A773-5EA8693138D0 4 0.1668 0.73916 0.000 0.032 0.000 0.940 0.028
#> A3A8937A-0B0B-4A68-AE68-81DA9CF7F4FB 4 0.2395 0.74223 0.000 0.048 0.024 0.912 0.016
#> 3EB3C0F8-4CBC-41A7-81E4-4D8A565441A7 2 0.1638 0.69882 0.000 0.932 0.004 0.064 0.000
#> 77EE3B54-FD7A-4ACF-879C-31667ADCCC5B 4 0.1831 0.74295 0.000 0.076 0.000 0.920 0.004
#> 327B2123-6DD8-4263-87DE-EE917E911DD4 4 0.1901 0.72215 0.000 0.012 0.004 0.928 0.056
#> 198A6AD0-79CD-40F5-A622-18AFBE78F2D2 1 0.5278 0.56850 0.536 0.420 0.040 0.004 0.000
#> EEE29DE1-F88C-4184-B499-5E86E2D252C4 1 0.0955 0.56865 0.968 0.028 0.000 0.000 0.004
#> 1E95EA22-BC41-4AAE-AFCC-F9281989A785 4 0.4278 0.05546 0.000 0.452 0.000 0.548 0.000
#> CD3AC0E4-88A9-4084-A2BE-AEE722CF6AA3 2 0.5543 0.05508 0.320 0.612 0.044 0.024 0.000
#> 8D7FABA2-764D-4795-BB04-D9E69E9792B9 2 0.7074 -0.28306 0.368 0.476 0.096 0.052 0.008
#> DAC07889-EE06-46E0-B1F1-833ECC0A48A9 4 0.4210 0.24446 0.000 0.412 0.000 0.588 0.000
#> E7B555A3-567B-4A44-8225-D269E73FB50B 4 0.4437 -0.24907 0.000 0.000 0.004 0.532 0.464
#> 3CC95101-C35F-4761-9D41-3C35BD55B37E 4 0.3857 0.50230 0.000 0.312 0.000 0.688 0.000
#> F62E5A69-5E81-4B2A-8CC0-F4D6E188B187 1 0.0955 0.56865 0.968 0.028 0.000 0.000 0.004
#> C650633B-A369-4657-8693-FDFBF22BD34E 2 0.2256 0.65248 0.032 0.920 0.016 0.032 0.000
#> 5E514217-F0DB-49FD-9C5D-EB22628ED297 4 0.3123 0.56181 0.000 0.004 0.000 0.812 0.184
#> 6E1DB9BF-06FE-48B1-A2D8-EF2CE7591364 2 0.4249 0.35766 0.000 0.568 0.000 0.432 0.000
#> C9581CE3-58B6-45B4-B4B7-15F555FD84A4 2 0.3835 0.68080 0.000 0.744 0.012 0.244 0.000
#> F56C26ED-9358-485B-8867-EBA1CAA4E2A7 2 0.4030 0.54746 0.000 0.648 0.000 0.352 0.000
#> 45CA3F9E-40EE-43A4-AE57-FE51D4003844 4 0.1831 0.74295 0.000 0.076 0.000 0.920 0.004
#> 47EFA063-19C1-4E1F-ACE8-68D9BAD0B995 2 0.5290 0.35678 0.004 0.540 0.032 0.420 0.004
#> 8C30EA0F-0DA1-43C7-81AE-DE825A53F114 4 0.3439 0.67714 0.000 0.188 0.004 0.800 0.008
#> 2CE7477C-DD09-4B3A-AD65-C696BE8C9B11 1 0.4424 0.69941 0.728 0.224 0.048 0.000 0.000
#> 4DECB19A-290F-4CEB-BE25-AAF9B9E2B58F 1 0.5278 0.56850 0.536 0.420 0.040 0.004 0.000
#> 3DEA9B14-DF42-43A0-AC4A-32AE7A16218D 5 0.1197 0.76507 0.000 0.000 0.000 0.048 0.952
#> 9F57D45B-C62F-44C5-AB9D-0CB54BBA16F5 2 0.4407 0.67899 0.020 0.724 0.012 0.244 0.000
#> 54ACCFD9-A8D6-4E4C-9097-1A0BE258AA1B 2 0.4338 0.41791 0.232 0.736 0.004 0.024 0.004
#> 9EE67DE9-9B56-4773-8F6A-1036D31F568E 4 0.4074 0.38786 0.000 0.364 0.000 0.636 0.000
#> 1B1C9301-D6D6-4F6B-80A3-3603013AA951 4 0.4235 0.21596 0.000 0.424 0.000 0.576 0.000
#> DDDCDF00-FB0A-477B-891B-2EE5E0C8F61E 3 0.1270 0.77163 0.000 0.052 0.948 0.000 0.000
#> 34A3260D-AC4D-416F-ADF0-24013048BC46 4 0.4242 0.17474 0.000 0.428 0.000 0.572 0.000
#> 671C1840-9C1B-4AC1-9564-78802489F763 1 0.4822 0.69129 0.664 0.288 0.048 0.000 0.000
#> BA4F7841-9FC3-4CE6-ACA5-43FC36641640 1 0.1357 0.57385 0.948 0.048 0.000 0.000 0.004
#> 24A02CE5-28E7-457E-8B90-4EACA528B072 2 0.5975 -0.00232 0.320 0.584 0.068 0.028 0.000
#> C7008665-F6DE-48B4-A0E7-6C388B72C609 4 0.1952 0.68705 0.000 0.004 0.000 0.912 0.084
#> 50F984AB-95C1-4D7B-A787-418CBB59D165 2 0.2629 0.72780 0.000 0.860 0.004 0.136 0.000
#> 5FFD2A6A-ED8A-44A9-9FC1-3106341C284A 5 0.4283 0.54022 0.000 0.000 0.000 0.456 0.544
#> 7481630E-5CBA-4A4A-A16F-E327BCEE11D3 2 0.4009 0.60240 0.000 0.684 0.004 0.312 0.000
#> 7B3E6643-C148-4266-A3A3-80BAB713DD3E 4 0.2068 0.74033 0.000 0.092 0.000 0.904 0.004
#> BA8564FA-8D4D-4B2F-A178-63209F887A05 3 0.3955 0.59687 0.000 0.028 0.804 0.148 0.020
#> 2FB578F6-E8B7-434D-9720-D448A26C1EFD 2 0.5711 -0.08880 0.356 0.572 0.052 0.020 0.000
#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 2 0.3999 0.55928 0.000 0.656 0.000 0.344 0.000
#> 740FCE46-8A4A-4A6A-B79F-78A63D28E313 5 0.4192 0.65181 0.000 0.000 0.000 0.404 0.596
#> 523A5832-0C42-44A4-A58F-7011C3A567DC 3 0.1270 0.77163 0.000 0.052 0.948 0.000 0.000
#> A2C68C81-7371-4E0C-BFD1-EA868A7C9499 2 0.3816 0.60229 0.000 0.696 0.000 0.304 0.000
#> 2EB7025A-D932-4238-BD60-609B25150029 5 0.1197 0.76507 0.000 0.000 0.000 0.048 0.952
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 5 0.4283 0.54025 0.000 0.000 0.000 0.456 0.544
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 5 0.4360 0.74663 0.000 0.000 0.024 0.284 0.692
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 4 0.4210 0.24446 0.000 0.412 0.000 0.588 0.000
#> F081EA01-ED14-491B-9620-BF8F10A7431D 4 0.2536 0.65527 0.000 0.004 0.000 0.868 0.128
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 2 0.3796 0.61108 0.000 0.700 0.000 0.300 0.000
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 2 0.1891 0.66089 0.016 0.936 0.016 0.032 0.000
#> B54639CE-F721-4908-B758-309F148AD3C2 5 0.1965 0.78431 0.000 0.000 0.000 0.096 0.904
#> EB4294E1-3FBC-495C-A041-829A654B59C5 3 0.4300 0.50096 0.476 0.000 0.524 0.000 0.000
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 2 0.3780 0.56454 0.132 0.820 0.020 0.028 0.000
#> EBF3DBA0-0986-4593-BB30-174F2974E918 4 0.1628 0.70514 0.000 0.008 0.000 0.936 0.056
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 2 0.5986 0.22802 0.256 0.636 0.064 0.040 0.004
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 4 0.1082 0.72202 0.000 0.008 0.000 0.964 0.028
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 2 0.3368 0.59565 0.080 0.860 0.032 0.028 0.000
#> D34036E4-1122-42AE-B20F-F4C8515872A0 4 0.3491 0.47722 0.000 0.004 0.000 0.768 0.228
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 2 0.1357 0.68743 0.000 0.948 0.004 0.048 0.000
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 4 0.4004 0.67744 0.000 0.164 0.032 0.792 0.012
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 3 0.1270 0.77163 0.000 0.052 0.948 0.000 0.000
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 4 0.3430 0.64888 0.000 0.220 0.000 0.776 0.004
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 4 0.1628 0.70514 0.000 0.008 0.000 0.936 0.056
#> F3C13430-405E-432E-8F3E-0DD18E86087E 4 0.3242 0.59933 0.000 0.012 0.000 0.816 0.172
#> 43EDF662-2507-4B61-B706-B0730F603711 4 0.0865 0.74077 0.000 0.024 0.000 0.972 0.004
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 2 0.3763 0.72937 0.008 0.812 0.024 0.152 0.004
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.3983 0.55817 0.000 0.660 0.000 0.340 0.000
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 4 0.1818 0.74798 0.000 0.044 0.000 0.932 0.024
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 4 0.6904 0.31174 0.016 0.080 0.300 0.552 0.052
#> BC833202-69AD-4BFF-8240-3097D447BBA2 4 0.1915 0.73391 0.000 0.032 0.000 0.928 0.040
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 2 0.5707 0.16495 0.284 0.628 0.060 0.028 0.000
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 5 0.1197 0.76507 0.000 0.000 0.000 0.048 0.952
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 2 0.4661 0.55889 0.128 0.776 0.040 0.056 0.000
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 4 0.2270 0.71384 0.000 0.020 0.000 0.904 0.076
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.4949 0.57485 0.396 0.032 0.572 0.000 0.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.4300 0.50096 0.476 0.000 0.524 0.000 0.000
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 5 0.1197 0.76507 0.000 0.000 0.000 0.048 0.952
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 2 0.2179 0.72156 0.000 0.888 0.000 0.112 0.000
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.1608 0.70470 0.000 0.928 0.000 0.072 0.000
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 2 0.1768 0.70431 0.000 0.924 0.004 0.072 0.000
#> 343F031B-0095-429D-8212-AD0581DBB05B 4 0.3210 0.65414 0.000 0.212 0.000 0.788 0.000
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 5 0.3857 0.76930 0.000 0.000 0.000 0.312 0.688
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.0955 0.56865 0.968 0.028 0.000 0.000 0.004
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 4 0.1697 0.74886 0.000 0.060 0.000 0.932 0.008
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 5 0.4288 0.67445 0.000 0.000 0.004 0.384 0.612
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 2 0.1701 0.68279 0.016 0.936 0.000 0.048 0.000
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.2690 0.72335 0.000 0.844 0.000 0.156 0.000
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 4 0.4302 -0.05088 0.000 0.480 0.000 0.520 0.000
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 4 0.3857 0.50230 0.000 0.312 0.000 0.688 0.000
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.1557 0.77488 0.008 0.052 0.940 0.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 2 0.6137 0.46714 0.176 0.660 0.068 0.096 0.000
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.4760 0.64648 0.024 0.080 0.796 0.068 0.032
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 4 0.0807 0.73289 0.000 0.012 0.000 0.976 0.012
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.4300 0.50096 0.476 0.000 0.524 0.000 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 4 0.1892 0.74151 0.000 0.080 0.000 0.916 0.004
#> FC7821F4-6495-4545-A22A-764BB99B3F79 2 0.5033 0.64803 0.072 0.756 0.036 0.132 0.004
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 5 0.3395 0.80829 0.000 0.000 0.000 0.236 0.764
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.1965 0.71641 0.000 0.904 0.000 0.096 0.000
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 4 0.1492 0.74890 0.000 0.040 0.004 0.948 0.008
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.3857 0.60359 0.000 0.688 0.000 0.312 0.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 5 0.3003 0.80777 0.000 0.000 0.000 0.188 0.812
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 4 0.2439 0.72855 0.000 0.120 0.000 0.876 0.004
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 4 0.4297 0.01309 0.000 0.472 0.000 0.528 0.000
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.1557 0.77488 0.008 0.052 0.940 0.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 5 0.2230 0.78951 0.000 0.000 0.000 0.116 0.884
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 4 0.1557 0.70816 0.000 0.008 0.000 0.940 0.052
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 2 0.1891 0.66037 0.016 0.936 0.016 0.032 0.000
#> BEE081CA-8420-4314-88A0-286BB30FFD65 4 0.4278 0.05031 0.000 0.452 0.000 0.548 0.000
#> C464CD1D-4519-48E8-A18A-403F691E5702 4 0.3512 0.69964 0.000 0.160 0.012 0.816 0.012
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.3760 0.68929 0.784 0.188 0.028 0.000 0.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 4 0.4375 0.16518 0.000 0.004 0.004 0.628 0.364
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.4297 0.23896 0.000 0.528 0.000 0.472 0.000
#> A563359B-0D55-4826-9229-62A89143C1C6 2 0.2313 0.65128 0.040 0.916 0.012 0.032 0.000
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 2 0.5040 0.66147 0.064 0.752 0.036 0.144 0.004
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 1 0.3121 0.67936 0.796 0.192 0.000 0.004 0.000 0.008
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 2 0.4546 0.36774 0.356 0.608 0.004 0.000 0.004 0.028
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 5 0.0653 0.73260 0.000 0.004 0.000 0.004 0.980 0.012
#> 91202998-760F-4421-B1C4-18639962EDDA 2 0.4282 0.66687 0.168 0.752 0.008 0.000 0.008 0.064
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.2558 0.70151 0.156 0.840 0.000 0.000 0.004 0.000
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 2 0.3923 -0.03575 0.000 0.580 0.000 0.000 0.416 0.004
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 5 0.2562 0.78485 0.000 0.172 0.000 0.000 0.828 0.000
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.1745 0.71012 0.012 0.920 0.000 0.000 0.068 0.000
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.2402 0.67821 0.012 0.868 0.000 0.000 0.120 0.000
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 5 0.3592 0.68952 0.000 0.344 0.000 0.000 0.656 0.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 2 0.1737 0.74648 0.040 0.932 0.000 0.000 0.020 0.008
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.3215 0.64007 0.000 0.000 0.756 0.000 0.004 0.240
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 5 0.0653 0.73260 0.000 0.004 0.000 0.004 0.980 0.012
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#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.2941 0.64445 0.220 0.780 0.000 0.000 0.000 0.000
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.1531 0.70221 0.004 0.928 0.000 0.000 0.068 0.000
#> F3C13430-405E-432E-8F3E-0DD18E86087E 2 0.2772 0.59548 0.004 0.816 0.000 0.000 0.180 0.000
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.0603 0.73627 0.016 0.980 0.000 0.000 0.004 0.000
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 1 0.3775 0.68603 0.804 0.116 0.012 0.004 0.000 0.064
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 1 0.3482 0.54847 0.684 0.316 0.000 0.000 0.000 0.000
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.1644 0.74390 0.040 0.932 0.000 0.000 0.028 0.000
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 6 0.6411 -0.10542 0.004 0.344 0.196 0.000 0.020 0.436
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.1863 0.73882 0.036 0.920 0.000 0.000 0.044 0.000
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.7161 -0.22689 0.472 0.020 0.076 0.176 0.000 0.256
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 5 0.0653 0.73260 0.000 0.004 0.000 0.004 0.980 0.012
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 1 0.5711 0.38380 0.648 0.044 0.032 0.056 0.000 0.220
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.2443 0.70673 0.020 0.880 0.000 0.000 0.096 0.004
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.5318 0.60594 0.000 0.000 0.580 0.148 0.000 0.272
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.5825 0.52011 0.000 0.000 0.488 0.224 0.000 0.288
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 5 0.0653 0.73260 0.000 0.004 0.000 0.004 0.980 0.012
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 1 0.2006 0.68646 0.904 0.080 0.000 0.000 0.000 0.016
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 1 0.1542 0.67449 0.936 0.052 0.000 0.004 0.000 0.008
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 1 0.1196 0.66693 0.952 0.040 0.000 0.000 0.000 0.008
#> 343F031B-0095-429D-8212-AD0581DBB05B 2 0.3183 0.66292 0.200 0.788 0.000 0.000 0.004 0.008
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 5 0.3330 0.75066 0.000 0.284 0.000 0.000 0.716 0.000
#> 03A226C5-398D-41D2-BB72-C97A373CD512 4 0.0146 0.48661 0.004 0.000 0.000 0.996 0.000 0.000
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 2 0.1625 0.74417 0.060 0.928 0.000 0.000 0.012 0.000
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 5 0.4064 0.66101 0.000 0.360 0.000 0.000 0.624 0.016
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 1 0.1666 0.64267 0.936 0.020 0.000 0.008 0.000 0.036
#> F9F33C38-A087-49FF-B994-3C9EE264F448 1 0.2631 0.69799 0.856 0.128 0.000 0.004 0.000 0.012
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.3998 -0.05469 0.492 0.504 0.000 0.000 0.000 0.004
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.3482 0.49330 0.316 0.684 0.000 0.000 0.000 0.000
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.0146 0.77545 0.000 0.000 0.996 0.004 0.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.7278 0.13556 0.504 0.084 0.072 0.088 0.000 0.252
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.3198 0.64151 0.000 0.000 0.740 0.000 0.000 0.260
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 2 0.0717 0.73017 0.008 0.976 0.000 0.000 0.016 0.000
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.5801 0.52582 0.000 0.000 0.496 0.224 0.000 0.280
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.1700 0.73513 0.080 0.916 0.000 0.000 0.004 0.000
#> FC7821F4-6495-4545-A22A-764BB99B3F79 1 0.5642 0.49175 0.644 0.116 0.024 0.016 0.000 0.200
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 5 0.2697 0.78342 0.000 0.188 0.000 0.000 0.812 0.000
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 1 0.1802 0.68263 0.916 0.072 0.000 0.000 0.000 0.012
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.1230 0.74437 0.028 0.956 0.000 0.000 0.008 0.008
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 1 0.3468 0.59540 0.712 0.284 0.000 0.000 0.000 0.004
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 5 0.2300 0.78183 0.000 0.144 0.000 0.000 0.856 0.000
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 2 0.2500 0.72727 0.116 0.868 0.000 0.000 0.012 0.004
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.3995 0.00479 0.480 0.516 0.000 0.000 0.000 0.004
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0146 0.77545 0.000 0.000 0.996 0.004 0.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 5 0.1327 0.76001 0.000 0.064 0.000 0.000 0.936 0.000
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.1471 0.70517 0.004 0.932 0.000 0.000 0.064 0.000
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 1 0.1555 0.61201 0.940 0.000 0.012 0.008 0.000 0.040
#> BEE081CA-8420-4314-88A0-286BB30FFD65 2 0.4305 0.10959 0.436 0.544 0.000 0.000 0.000 0.020
#> C464CD1D-4519-48E8-A18A-403F691E5702 2 0.3569 0.69999 0.148 0.808 0.012 0.000 0.012 0.020
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 4 0.5529 -0.22604 0.076 0.000 0.020 0.476 0.000 0.428
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.4397 0.13151 0.004 0.596 0.000 0.000 0.376 0.024
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 1 0.3847 0.22435 0.544 0.456 0.000 0.000 0.000 0.000
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.2182 0.59374 0.904 0.000 0.008 0.020 0.000 0.068
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.5641 0.51212 0.640 0.128 0.024 0.012 0.000 0.196
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 17109 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 0.761 0.831 0.858 0.4904 0.503 0.503
#> 3 3 0.923 0.925 0.970 0.1821 0.590 0.384
#> 4 4 0.657 0.656 0.819 0.1560 0.736 0.484
#> 5 5 0.834 0.825 0.906 0.1019 0.748 0.412
#> 6 6 0.679 0.578 0.777 0.0671 0.939 0.778
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
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 1 0.1633 0.93165 0.976 0.024
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 2 0.0000 0.90339 0.000 1.000
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 2 0.0000 0.90339 0.000 1.000
#> 91202998-760F-4421-B1C4-18639962EDDA 1 0.7883 0.66206 0.764 0.236
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.0000 0.90339 0.000 1.000
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 2 0.0000 0.90339 0.000 1.000
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 2 0.0000 0.90339 0.000 1.000
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.0000 0.90339 0.000 1.000
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.0000 0.90339 0.000 1.000
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.0000 0.90339 0.000 1.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 2 0.0000 0.90339 0.000 1.000
#> 784B2359-6064-4FAA-9311-7A852F061FBB 1 0.0000 0.94818 1.000 0.000
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 2 0.0000 0.90339 0.000 1.000
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 2 0.0000 0.90339 0.000 1.000
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 1 0.0000 0.94818 1.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.0000 0.90339 0.000 1.000
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.0000 0.94818 1.000 0.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 2 0.0000 0.90339 0.000 1.000
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 2 0.8713 0.59254 0.292 0.708
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.0000 0.94818 1.000 0.000
#> D7A50E95-777C-47A6-8F93-031CB4770633 1 0.0376 0.94655 0.996 0.004
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.0000 0.90339 0.000 1.000
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 2 0.9988 0.16517 0.480 0.520
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 1 0.0000 0.94818 1.000 0.000
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.0000 0.90339 0.000 1.000
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 2 0.0000 0.90339 0.000 1.000
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.0000 0.90339 0.000 1.000
#> 591C91F1-AA70-44DC-B721-0E781C333359 1 0.0672 0.94431 0.992 0.008
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 1 0.0000 0.94818 1.000 0.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.9963 0.21689 0.464 0.536
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 2 0.0000 0.90339 0.000 1.000
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 1 0.9983 -0.00168 0.524 0.476
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.0000 0.90339 0.000 1.000
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.0000 0.90339 0.000 1.000
#> 2846A3AC-D102-4E37-9B72-139ED727157A 2 0.0000 0.90339 0.000 1.000
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.9754 0.37144 0.408 0.592
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 1 0.0000 0.94818 1.000 0.000
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.0000 0.94818 1.000 0.000
#> 150F5B77-4848-4D68-800A-0A0236C3661F 2 0.0000 0.90339 0.000 1.000
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.0000 0.94818 1.000 0.000
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.0000 0.90339 0.000 1.000
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.0000 0.90339 0.000 1.000
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 2 0.0000 0.90339 0.000 1.000
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 2 0.0000 0.90339 0.000 1.000
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.9988 0.16535 0.480 0.520
#> 1447B543-D3AC-41B5-878F-B382FE49421B 1 0.0000 0.94818 1.000 0.000
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 2 0.0000 0.90339 0.000 1.000
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 2 0.9358 0.49063 0.352 0.648
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 1 0.0000 0.94818 1.000 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 1 0.0672 0.94431 0.992 0.008
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 2 0.0000 0.90339 0.000 1.000
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.0000 0.94818 1.000 0.000
#> D9225689-21E0-478A-8F79-C26542938B8D 2 0.9580 0.43505 0.380 0.620
#> FC3BA46D-57F6-424C-8D62-16C441035969 2 0.0000 0.90339 0.000 1.000
#> 045CFFE6-4736-42F2-9340-C37690E47882 1 0.0000 0.94818 1.000 0.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 2 0.0000 0.90339 0.000 1.000
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 2 1.0000 0.09251 0.500 0.500
#> E94B217F-C5DC-4F42-8135-E81F338914B5 2 0.0000 0.90339 0.000 1.000
#> AE4C3956-76DF-4059-8D69-3D764F31817F 2 0.0000 0.90339 0.000 1.000
#> 33D6A38E-CD99-437B-99E0-04E72582F777 2 0.2423 0.87306 0.040 0.960
#> 8379051C-5847-42B5-AC5C-A128C166AB97 1 0.0672 0.94431 0.992 0.008
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 1 0.1184 0.93823 0.984 0.016
#> 40A16429-229E-4F40-BFC7-263554438F99 2 0.0000 0.90339 0.000 1.000
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 2 0.0000 0.90339 0.000 1.000
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 2 0.0000 0.90339 0.000 1.000
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 1 0.0000 0.94818 1.000 0.000
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 1 0.9635 0.31788 0.612 0.388
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 1 0.8499 0.59074 0.724 0.276
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#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 1 0.0376 0.94655 0.996 0.004
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 2 0.9358 0.49077 0.352 0.648
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 1 0.0000 0.94818 1.000 0.000
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.0000 0.90339 0.000 1.000
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.0000 0.90339 0.000 1.000
#> F3C13430-405E-432E-8F3E-0DD18E86087E 2 0.0000 0.90339 0.000 1.000
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.0000 0.90339 0.000 1.000
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 1 0.0376 0.94655 0.996 0.004
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.9710 0.39080 0.400 0.600
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.0000 0.90339 0.000 1.000
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 2 0.0000 0.90339 0.000 1.000
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.0000 0.90339 0.000 1.000
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.0000 0.94818 1.000 0.000
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 2 0.0000 0.90339 0.000 1.000
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 1 0.0000 0.94818 1.000 0.000
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.0000 0.90339 0.000 1.000
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 1 0.0000 0.94818 1.000 0.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 1 0.0000 0.94818 1.000 0.000
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 2 0.0000 0.90339 0.000 1.000
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 1 0.0672 0.94431 0.992 0.008
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 1 0.0672 0.94431 0.992 0.008
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 1 0.0376 0.94655 0.996 0.004
#> 343F031B-0095-429D-8212-AD0581DBB05B 2 0.0000 0.90339 0.000 1.000
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 2 0.0000 0.90339 0.000 1.000
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.0000 0.94818 1.000 0.000
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 2 0.0000 0.90339 0.000 1.000
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 2 0.0000 0.90339 0.000 1.000
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 1 0.0376 0.94655 0.996 0.004
#> F9F33C38-A087-49FF-B994-3C9EE264F448 1 0.1633 0.93165 0.976 0.024
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.9993 0.15163 0.484 0.516
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.6973 0.73135 0.188 0.812
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 1 0.0000 0.94818 1.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.0000 0.94818 1.000 0.000
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 1 0.0000 0.94818 1.000 0.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 2 0.0000 0.90339 0.000 1.000
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 1 0.0000 0.94818 1.000 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.0000 0.90339 0.000 1.000
#> FC7821F4-6495-4545-A22A-764BB99B3F79 1 0.0000 0.94818 1.000 0.000
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.0000 0.90339 0.000 1.000
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 1 0.0672 0.94431 0.992 0.008
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.0000 0.90339 0.000 1.000
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 1 0.9608 0.32982 0.616 0.384
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 2 0.0000 0.90339 0.000 1.000
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 2 0.0000 0.90339 0.000 1.000
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.9954 0.22913 0.460 0.540
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 1 0.0000 0.94818 1.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 2 0.0000 0.90339 0.000 1.000
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.0000 0.90339 0.000 1.000
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 1 0.0000 0.94818 1.000 0.000
#> BEE081CA-8420-4314-88A0-286BB30FFD65 2 0.3431 0.85315 0.064 0.936
#> C464CD1D-4519-48E8-A18A-403F691E5702 2 0.0000 0.90339 0.000 1.000
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.0000 0.94818 1.000 0.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.0000 0.90339 0.000 1.000
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.6973 0.73089 0.188 0.812
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.0000 0.94818 1.000 0.000
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.0000 0.94818 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.0000 0.9744 0.000 1.000 0.000
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 2 0.0000 0.9744 0.000 1.000 0.000
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 1 0.0000 0.9295 1.000 0.000 0.000
#> 91202998-760F-4421-B1C4-18639962EDDA 2 0.0000 0.9744 0.000 1.000 0.000
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.0424 0.9693 0.008 0.992 0.000
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 1 0.0000 0.9295 1.000 0.000 0.000
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 1 0.0000 0.9295 1.000 0.000 0.000
#> 54337CE9-6F12-4712-8131-4B83F3216343 1 0.1163 0.9072 0.972 0.028 0.000
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.3038 0.8747 0.104 0.896 0.000
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 1 0.0000 0.9295 1.000 0.000 0.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 2 0.0592 0.9665 0.012 0.988 0.000
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.4235 0.7435 0.000 0.176 0.824
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 1 0.0000 0.9295 1.000 0.000 0.000
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 2 0.0000 0.9744 0.000 1.000 0.000
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0000 0.9712 0.000 0.000 1.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.0592 0.9665 0.012 0.988 0.000
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 3 0.0000 0.9712 0.000 0.000 1.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 2 0.0000 0.9744 0.000 1.000 0.000
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 2 0.0000 0.9744 0.000 1.000 0.000
#> A08E2707-DDB0-40FE-828F-14720768FB05 2 0.3482 0.8503 0.000 0.872 0.128
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.0000 0.9744 0.000 1.000 0.000
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 1 0.0000 0.9295 1.000 0.000 0.000
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 2 0.0000 0.9744 0.000 1.000 0.000
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 3 0.0000 0.9712 0.000 0.000 1.000
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 1 0.0000 0.9295 1.000 0.000 0.000
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 1 0.0000 0.9295 1.000 0.000 0.000
#> 1139D935-739E-4C42-BFCB-06021A85932E 1 0.0000 0.9295 1.000 0.000 0.000
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.0000 0.9744 0.000 1.000 0.000
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.0000 0.9712 0.000 0.000 1.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.0000 0.9744 0.000 1.000 0.000
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 2 0.0000 0.9744 0.000 1.000 0.000
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 2 0.0000 0.9744 0.000 1.000 0.000
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.0000 0.9744 0.000 1.000 0.000
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 1 0.4178 0.7452 0.828 0.172 0.000
#> 2846A3AC-D102-4E37-9B72-139ED727157A 1 0.0000 0.9295 1.000 0.000 0.000
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.0000 0.9744 0.000 1.000 0.000
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 2 0.0424 0.9690 0.000 0.992 0.008
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 2 0.0892 0.9593 0.000 0.980 0.020
#> 150F5B77-4848-4D68-800A-0A0236C3661F 1 0.0000 0.9295 1.000 0.000 0.000
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 3 0.6215 0.2237 0.000 0.428 0.572
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 1 0.6215 0.2915 0.572 0.428 0.000
#> A179B59A-EECC-4692-B008-5117800D7C8B 1 0.5926 0.4772 0.644 0.356 0.000
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 1 0.2165 0.8703 0.936 0.064 0.000
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 1 0.0000 0.9295 1.000 0.000 0.000
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.0000 0.9744 0.000 1.000 0.000
#> 1447B543-D3AC-41B5-878F-B382FE49421B 2 0.0000 0.9744 0.000 1.000 0.000
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 2 0.0000 0.9744 0.000 1.000 0.000
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 2 0.0000 0.9744 0.000 1.000 0.000
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.0000 0.9712 0.000 0.000 1.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 2 0.0000 0.9744 0.000 1.000 0.000
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 1 0.0000 0.9295 1.000 0.000 0.000
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 3 0.0000 0.9712 0.000 0.000 1.000
#> D9225689-21E0-478A-8F79-C26542938B8D 2 0.0000 0.9744 0.000 1.000 0.000
#> FC3BA46D-57F6-424C-8D62-16C441035969 1 0.6126 0.3731 0.600 0.400 0.000
#> 045CFFE6-4736-42F2-9340-C37690E47882 3 0.0000 0.9712 0.000 0.000 1.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 1 0.0000 0.9295 1.000 0.000 0.000
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 2 0.0000 0.9744 0.000 1.000 0.000
#> E94B217F-C5DC-4F42-8135-E81F338914B5 1 0.0000 0.9295 1.000 0.000 0.000
#> AE4C3956-76DF-4059-8D69-3D764F31817F 1 0.0000 0.9295 1.000 0.000 0.000
#> 33D6A38E-CD99-437B-99E0-04E72582F777 2 0.0000 0.9744 0.000 1.000 0.000
#> 8379051C-5847-42B5-AC5C-A128C166AB97 2 0.0000 0.9744 0.000 1.000 0.000
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 2 0.0000 0.9744 0.000 1.000 0.000
#> 40A16429-229E-4F40-BFC7-263554438F99 1 0.0000 0.9295 1.000 0.000 0.000
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 2 0.0592 0.9665 0.012 0.988 0.000
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 2 0.0592 0.9665 0.012 0.988 0.000
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 2 0.0000 0.9744 0.000 1.000 0.000
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 2 0.0000 0.9744 0.000 1.000 0.000
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.0000 0.9744 0.000 1.000 0.000
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 2 0.0000 0.9744 0.000 1.000 0.000
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 1 0.5706 0.5525 0.680 0.320 0.000
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 2 0.0000 0.9744 0.000 1.000 0.000
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.0000 0.9744 0.000 1.000 0.000
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 1 0.0000 0.9295 1.000 0.000 0.000
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 2 0.0000 0.9744 0.000 1.000 0.000
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 2 0.0000 0.9744 0.000 1.000 0.000
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 2 0.0000 0.9744 0.000 1.000 0.000
#> FDB47AC4-CE6A-428B-9B55-EBCEF1970ACB 1 0.0000 0.9295 1.000 0.000 0.000
#> 133B7E7B-FD50-48A2-9A35-E6D44FAB976B 1 0.0000 0.9295 1.000 0.000 0.000
#> E69E45DA-66A6-438A-9BFC-5F1F7F5C5A87 1 0.5882 0.5018 0.652 0.348 0.000
#> 6E242DF5-8B8B-4C6F-870E-C7ADFFAFDF3E 2 0.3116 0.8702 0.108 0.892 0.000
#> CB7BBFF1-4BF3-42A9-85C6-680D91503799 2 0.0000 0.9744 0.000 1.000 0.000
#> 70AA4670-C75B-4E39-8958-3F9C29811871 2 0.0000 0.9744 0.000 1.000 0.000
#> D63C5178-4FF7-4FD0-B87E-6CBF6E7BEF5B 2 0.0424 0.9693 0.008 0.992 0.000
#> 814391F8-C5B9-43F6-A330-A6749BB8F16E 2 0.0000 0.9744 0.000 1.000 0.000
#> 146ED7EA-BF3C-4BAB-B33C-0A668AB13C80 2 0.0000 0.9744 0.000 1.000 0.000
#> FD5CAFE8-E669-406A-A505-A47DCDC32E93 1 0.0000 0.9295 1.000 0.000 0.000
#> 4B3C7910-A652-45B5-8218-9002EB0FD9EB 1 0.0000 0.9295 1.000 0.000 0.000
#> E410F77D-E31F-4D73-ACAC-9245935A92F5 1 0.0000 0.9295 1.000 0.000 0.000
#> 64336403-9037-480C-873A-67BC77119FA5 2 0.0000 0.9744 0.000 1.000 0.000
#> 6F9D5013-3B1B-41EE-85DB-E51F5D828DEF 2 0.0000 0.9744 0.000 1.000 0.000
#> 155AEBBD-1C12-4F88-90C7-1C7FF7E3FB2C 2 0.0000 0.9744 0.000 1.000 0.000
#> D28DDCAA-682C-451F-8327-D2C2AFB044E2 2 0.0592 0.9665 0.012 0.988 0.000
#> 171523DC-2713-4EBF-A115-53A0BA174545 3 0.0000 0.9712 0.000 0.000 1.000
#> FD223304-87BA-4462-A5E5-01AB8C018C35 2 0.4796 0.7307 0.000 0.780 0.220
#> D8E06D8A-9063-4466-A3B0-7724F4737C7A 2 0.0000 0.9744 0.000 1.000 0.000
#> FFA5FFF7-6301-4CD8-8E63-A4D8294D1B0E 1 0.0000 0.9295 1.000 0.000 0.000
#> AF3648D6-C774-48CC-9428-ADC00402A562 3 0.0000 0.9712 0.000 0.000 1.000
#> BD406B65-B715-444E-95B4-F38D05BAC863 2 0.4702 0.7415 0.000 0.788 0.212
#> 6DB67CA1-0BEB-4585-9867-40E7C8A96D55 2 0.0000 0.9744 0.000 1.000 0.000
#> 49C9DE1D-784D-405A-9DD3-C4D2890D0309 2 0.4702 0.7415 0.000 0.788 0.212
#> 05EC4D30-D34E-4497-B4F4-80AEDC2E70DF 3 0.0000 0.9712 0.000 0.000 1.000
#> CB69E76B-7CD3-49EF-9ADF-75701FE1D0A8 1 0.0000 0.9295 1.000 0.000 0.000
#> 103C6E25-A69A-460E-81C0-7437547E1334 2 0.0892 0.9594 0.000 0.980 0.020
#> 2D986DB0-B5A8-42E8-ACB8-926A16FAABD6 2 0.6062 0.3593 0.384 0.616 0.000
#> 1B9A0F24-8A3F-4693-B09C-5F0EFE5A32A5 2 0.0424 0.9687 0.000 0.992 0.008
#> C064D1FE-753E-4493-907C-C5FFE19F9875 2 0.0000 0.9744 0.000 1.000 0.000
#> 71596860-AEFA-4B94-8ADE-AC33CEA24DD4 2 0.0000 0.9744 0.000 1.000 0.000
#> E9A3A454-AB4D-4683-B276-84DA43792DBB 2 0.3879 0.8156 0.152 0.848 0.000
#> C5717869-8413-4810-A042-32E949AD3B0A 2 0.0424 0.9691 0.000 0.992 0.008
#> F36B393E-859C-49F8-BDF4-ED2CEF4C6307 2 0.0000 0.9744 0.000 1.000 0.000
#> 4CC9D3F9-983F-4CB2-91F1-0FBB86D53DC3 2 0.0000 0.9744 0.000 1.000 0.000
#> D450F074-CA68-49CE-B0B3-F81A91D54867 2 0.0000 0.9744 0.000 1.000 0.000
#> 2BBD504E-FE90-4142-9204-0E33B6B56C7E 1 0.0000 0.9295 1.000 0.000 0.000
#> 1A457CBF-24DA-44F1-B9ED-F26B8D1245D4 2 0.0000 0.9744 0.000 1.000 0.000
#> F29B5A39-866E-4C9D-BC26-B726FEA5F576 2 0.0000 0.9744 0.000 1.000 0.000
#> 89A4972A-8C91-4272-96BE-BCA9BC447780 2 0.0000 0.9744 0.000 1.000 0.000
#> 70B014FD-A0D0-418C-B55F-D09BAE213D52 2 0.0000 0.9744 0.000 1.000 0.000
#> 8139F417-0548-40B4-851F-A4E149A2E06A 2 0.0424 0.9687 0.000 0.992 0.008
#> 6E9F0021-FA91-4516-9B04-6A978034CECF 2 0.0000 0.9744 0.000 1.000 0.000
#> 49DAF1CD-8E20-433B-91A7-8C885ACB21A5 1 0.0000 0.9295 1.000 0.000 0.000
#> 093765A6-145C-47C3-B87B-4560CD632B4C 1 0.0592 0.9216 0.988 0.012 0.000
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#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.0000 0.9712 0.000 0.000 1.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 2 0.0000 0.9744 0.000 1.000 0.000
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.0000 0.9712 0.000 0.000 1.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 2 0.0592 0.9665 0.012 0.988 0.000
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.0000 0.9712 0.000 0.000 1.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.0592 0.9665 0.012 0.988 0.000
#> FC7821F4-6495-4545-A22A-764BB99B3F79 2 0.0424 0.9687 0.000 0.992 0.008
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 1 0.0000 0.9295 1.000 0.000 0.000
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.0000 0.9744 0.000 1.000 0.000
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.2066 0.9221 0.060 0.940 0.000
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.0000 0.9744 0.000 1.000 0.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 1 0.0000 0.9295 1.000 0.000 0.000
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 2 0.0000 0.9744 0.000 1.000 0.000
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.0000 0.9744 0.000 1.000 0.000
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0000 0.9712 0.000 0.000 1.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 1 0.0000 0.9295 1.000 0.000 0.000
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 1 0.0592 0.9216 0.988 0.012 0.000
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 2 0.4654 0.7473 0.000 0.792 0.208
#> BEE081CA-8420-4314-88A0-286BB30FFD65 2 0.0000 0.9744 0.000 1.000 0.000
#> C464CD1D-4519-48E8-A18A-403F691E5702 2 0.0000 0.9744 0.000 1.000 0.000
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 3 0.0000 0.9712 0.000 0.000 1.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 1 0.6079 0.4031 0.612 0.388 0.000
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0000 0.9744 0.000 1.000 0.000
#> A563359B-0D55-4826-9229-62A89143C1C6 2 0.4346 0.7806 0.000 0.816 0.184
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 2 0.0424 0.9687 0.000 0.992 0.008
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.4933 0.575 0.432 0.568 0.000 0.000
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 2 0.0000 0.732 0.000 1.000 0.000 0.000
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 4 0.0000 0.790 0.000 0.000 0.000 1.000
#> 91202998-760F-4421-B1C4-18639962EDDA 2 0.4907 0.589 0.420 0.580 0.000 0.000
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.0000 0.732 0.000 1.000 0.000 0.000
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 2 0.1389 0.685 0.000 0.952 0.000 0.048
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 4 0.0000 0.790 0.000 0.000 0.000 1.000
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.1211 0.695 0.000 0.960 0.000 0.040
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.0000 0.732 0.000 1.000 0.000 0.000
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 4 0.3219 0.772 0.000 0.164 0.000 0.836
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 2 0.0000 0.732 0.000 1.000 0.000 0.000
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.2814 0.759 0.132 0.000 0.868 0.000
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 4 0.0000 0.790 0.000 0.000 0.000 1.000
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 2 0.0000 0.732 0.000 1.000 0.000 0.000
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0000 0.995 0.000 0.000 1.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.0000 0.732 0.000 1.000 0.000 0.000
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.4898 0.288 0.584 0.000 0.416 0.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 2 0.0000 0.732 0.000 1.000 0.000 0.000
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 2 0.2469 0.724 0.108 0.892 0.000 0.000
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.0000 0.713 1.000 0.000 0.000 0.000
#> D7A50E95-777C-47A6-8F93-031CB4770633 1 0.0921 0.714 0.972 0.028 0.000 0.000
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 4 0.0000 0.790 0.000 0.000 0.000 1.000
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 2 0.4866 0.603 0.404 0.596 0.000 0.000
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 1 0.4933 0.261 0.568 0.000 0.432 0.000
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 4 0.4961 0.612 0.000 0.448 0.000 0.552
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 4 0.0000 0.790 0.000 0.000 0.000 1.000
#> 1139D935-739E-4C42-BFCB-06021A85932E 4 0.0000 0.790 0.000 0.000 0.000 1.000
#> 591C91F1-AA70-44DC-B721-0E781C333359 1 0.4989 -0.377 0.528 0.472 0.000 0.000
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.0000 0.995 0.000 0.000 1.000 0.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.4888 0.596 0.412 0.588 0.000 0.000
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 2 0.0000 0.732 0.000 1.000 0.000 0.000
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 2 0.4916 0.585 0.424 0.576 0.000 0.000
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.0000 0.732 0.000 1.000 0.000 0.000
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.1211 0.695 0.000 0.960 0.000 0.040
#> 2846A3AC-D102-4E37-9B72-139ED727157A 4 0.0000 0.790 0.000 0.000 0.000 1.000
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.4830 0.612 0.392 0.608 0.000 0.000
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 1 0.0000 0.713 1.000 0.000 0.000 0.000
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.0921 0.714 0.972 0.028 0.000 0.000
#> 150F5B77-4848-4D68-800A-0A0236C3661F 4 0.3356 0.770 0.000 0.176 0.000 0.824
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.2973 0.633 0.856 0.000 0.144 0.000
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.1211 0.695 0.000 0.960 0.000 0.040
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.1211 0.695 0.000 0.960 0.000 0.040
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 2 0.3942 0.317 0.000 0.764 0.000 0.236
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 4 0.4830 0.676 0.000 0.392 0.000 0.608
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.4898 0.593 0.416 0.584 0.000 0.000
#> 1447B543-D3AC-41B5-878F-B382FE49421B 1 0.0817 0.714 0.976 0.024 0.000 0.000
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 2 0.0000 0.732 0.000 1.000 0.000 0.000
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 2 0.4804 0.617 0.384 0.616 0.000 0.000
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.0000 0.995 0.000 0.000 1.000 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 1 0.4356 0.237 0.708 0.292 0.000 0.000
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 4 0.0000 0.790 0.000 0.000 0.000 1.000
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.4877 0.305 0.592 0.000 0.408 0.000
#> D9225689-21E0-478A-8F79-C26542938B8D 2 0.4761 0.624 0.372 0.628 0.000 0.000
#> FC3BA46D-57F6-424C-8D62-16C441035969 2 0.0817 0.711 0.000 0.976 0.000 0.024
#> 045CFFE6-4736-42F2-9340-C37690E47882 3 0.0000 0.995 0.000 0.000 1.000 0.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 4 0.0000 0.790 0.000 0.000 0.000 1.000
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 2 0.4925 0.580 0.428 0.572 0.000 0.000
#> E94B217F-C5DC-4F42-8135-E81F338914B5 4 0.3266 0.754 0.000 0.168 0.000 0.832
#> AE4C3956-76DF-4059-8D69-3D764F31817F 4 0.4830 0.676 0.000 0.392 0.000 0.608
#> 33D6A38E-CD99-437B-99E0-04E72582F777 2 0.2814 0.720 0.132 0.868 0.000 0.000
#> 8379051C-5847-42B5-AC5C-A128C166AB97 2 0.4999 0.459 0.492 0.508 0.000 0.000
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 2 0.4996 0.477 0.484 0.516 0.000 0.000
#> 40A16429-229E-4F40-BFC7-263554438F99 4 0.4866 0.666 0.000 0.404 0.000 0.596
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 2 0.0000 0.732 0.000 1.000 0.000 0.000
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 2 0.0000 0.732 0.000 1.000 0.000 0.000
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 1 0.0817 0.714 0.976 0.024 0.000 0.000
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 2 0.4855 0.607 0.400 0.600 0.000 0.000
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.4933 0.575 0.432 0.568 0.000 0.000
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 2 0.4888 0.597 0.412 0.588 0.000 0.000
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 2 0.1211 0.695 0.000 0.960 0.000 0.040
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 2 0.4933 0.575 0.432 0.568 0.000 0.000
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.4916 0.585 0.424 0.576 0.000 0.000
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 4 0.4830 0.676 0.000 0.392 0.000 0.608
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 2 0.4713 0.632 0.360 0.640 0.000 0.000
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 1 0.1302 0.703 0.956 0.044 0.000 0.000
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 2 0.4933 0.575 0.432 0.568 0.000 0.000
#> FDB47AC4-CE6A-428B-9B55-EBCEF1970ACB 4 0.0000 0.790 0.000 0.000 0.000 1.000
#> 133B7E7B-FD50-48A2-9A35-E6D44FAB976B 4 0.3942 0.749 0.000 0.236 0.000 0.764
#> E69E45DA-66A6-438A-9BFC-5F1F7F5C5A87 2 0.0817 0.711 0.000 0.976 0.000 0.024
#> 6E242DF5-8B8B-4C6F-870E-C7ADFFAFDF3E 2 0.0188 0.729 0.000 0.996 0.000 0.004
#> CB7BBFF1-4BF3-42A9-85C6-680D91503799 2 0.4855 0.607 0.400 0.600 0.000 0.000
#> 70AA4670-C75B-4E39-8958-3F9C29811871 2 0.0000 0.732 0.000 1.000 0.000 0.000
#> D63C5178-4FF7-4FD0-B87E-6CBF6E7BEF5B 2 0.0000 0.732 0.000 1.000 0.000 0.000
#> 814391F8-C5B9-43F6-A330-A6749BB8F16E 2 0.4830 0.612 0.392 0.608 0.000 0.000
#> 146ED7EA-BF3C-4BAB-B33C-0A668AB13C80 2 0.0000 0.732 0.000 1.000 0.000 0.000
#> FD5CAFE8-E669-406A-A505-A47DCDC32E93 4 0.4431 0.719 0.000 0.304 0.000 0.696
#> 4B3C7910-A652-45B5-8218-9002EB0FD9EB 4 0.4916 0.646 0.000 0.424 0.000 0.576
#> E410F77D-E31F-4D73-ACAC-9245935A92F5 4 0.0000 0.790 0.000 0.000 0.000 1.000
#> 64336403-9037-480C-873A-67BC77119FA5 2 0.4830 0.612 0.392 0.608 0.000 0.000
#> 6F9D5013-3B1B-41EE-85DB-E51F5D828DEF 2 0.0000 0.732 0.000 1.000 0.000 0.000
#> 155AEBBD-1C12-4F88-90C7-1C7FF7E3FB2C 2 0.0000 0.732 0.000 1.000 0.000 0.000
#> D28DDCAA-682C-451F-8327-D2C2AFB044E2 2 0.0000 0.732 0.000 1.000 0.000 0.000
#> 171523DC-2713-4EBF-A115-53A0BA174545 3 0.0000 0.995 0.000 0.000 1.000 0.000
#> FD223304-87BA-4462-A5E5-01AB8C018C35 1 0.0000 0.713 1.000 0.000 0.000 0.000
#> D8E06D8A-9063-4466-A3B0-7724F4737C7A 2 0.4605 0.643 0.336 0.664 0.000 0.000
#> FFA5FFF7-6301-4CD8-8E63-A4D8294D1B0E 4 0.0000 0.790 0.000 0.000 0.000 1.000
#> AF3648D6-C774-48CC-9428-ADC00402A562 3 0.0000 0.995 0.000 0.000 1.000 0.000
#> BD406B65-B715-444E-95B4-F38D05BAC863 1 0.0000 0.713 1.000 0.000 0.000 0.000
#> 6DB67CA1-0BEB-4585-9867-40E7C8A96D55 2 0.4746 0.627 0.368 0.632 0.000 0.000
#> 49C9DE1D-784D-405A-9DD3-C4D2890D0309 1 0.0000 0.713 1.000 0.000 0.000 0.000
#> 05EC4D30-D34E-4497-B4F4-80AEDC2E70DF 1 0.4933 0.261 0.568 0.000 0.432 0.000
#> CB69E76B-7CD3-49EF-9ADF-75701FE1D0A8 4 0.4830 0.676 0.000 0.392 0.000 0.608
#> 103C6E25-A69A-460E-81C0-7437547E1334 1 0.0000 0.713 1.000 0.000 0.000 0.000
#> 2D986DB0-B5A8-42E8-ACB8-926A16FAABD6 2 0.0592 0.719 0.000 0.984 0.000 0.016
#> 1B9A0F24-8A3F-4693-B09C-5F0EFE5A32A5 1 0.0921 0.714 0.972 0.028 0.000 0.000
#> C064D1FE-753E-4493-907C-C5FFE19F9875 2 0.4855 0.607 0.400 0.600 0.000 0.000
#> 71596860-AEFA-4B94-8ADE-AC33CEA24DD4 1 0.0707 0.714 0.980 0.020 0.000 0.000
#> E9A3A454-AB4D-4683-B276-84DA43792DBB 2 0.0336 0.726 0.000 0.992 0.000 0.008
#> C5717869-8413-4810-A042-32E949AD3B0A 1 0.0000 0.713 1.000 0.000 0.000 0.000
#> F36B393E-859C-49F8-BDF4-ED2CEF4C6307 2 0.0000 0.732 0.000 1.000 0.000 0.000
#> 4CC9D3F9-983F-4CB2-91F1-0FBB86D53DC3 1 0.4916 -0.236 0.576 0.424 0.000 0.000
#> D450F074-CA68-49CE-B0B3-F81A91D54867 2 0.4933 0.575 0.432 0.568 0.000 0.000
#> 2BBD504E-FE90-4142-9204-0E33B6B56C7E 2 0.4998 -0.485 0.000 0.512 0.000 0.488
#> 1A457CBF-24DA-44F1-B9ED-F26B8D1245D4 2 0.4830 0.612 0.392 0.608 0.000 0.000
#> F29B5A39-866E-4C9D-BC26-B726FEA5F576 2 0.4925 0.580 0.428 0.572 0.000 0.000
#> 89A4972A-8C91-4272-96BE-BCA9BC447780 1 0.1389 0.700 0.952 0.048 0.000 0.000
#> 70B014FD-A0D0-418C-B55F-D09BAE213D52 2 0.4817 0.615 0.388 0.612 0.000 0.000
#> 8139F417-0548-40B4-851F-A4E149A2E06A 1 0.0921 0.714 0.972 0.028 0.000 0.000
#> 6E9F0021-FA91-4516-9B04-6A978034CECF 2 0.0592 0.732 0.016 0.984 0.000 0.000
#> 49DAF1CD-8E20-433B-91A7-8C885ACB21A5 4 0.0000 0.790 0.000 0.000 0.000 1.000
#> 093765A6-145C-47C3-B87B-4560CD632B4C 2 0.1022 0.703 0.000 0.968 0.000 0.032
#> 90731001-45B2-4601-93F5-064BDD519A30 3 0.0000 0.995 0.000 0.000 1.000 0.000
#> 40BCB65D-BC26-4FEF-941F-6F4A42D475EB 2 0.4877 0.600 0.408 0.592 0.000 0.000
#> 204317C4-B927-4CAC-AADF-E16D19410ADB 2 0.0469 0.722 0.000 0.988 0.000 0.012
#> 1023707A-D6DE-432A-AD2D-2318C3F91FA2 4 0.4776 0.685 0.000 0.376 0.000 0.624
#> 06F79E8E-50E3-485A-82E9-C7CD4C72333B 2 0.0921 0.707 0.000 0.972 0.000 0.028
#> BFAF5464-D239-4A03-AC34-984DEBA84451 4 0.4992 0.559 0.000 0.476 0.000 0.524
#> 96C7C73E-F3E1-4937-A267-B7DAAD8EDE37 2 0.0000 0.732 0.000 1.000 0.000 0.000
#> 1D94B33B-9A3F-40BA-90AF-5248ED058C6F 4 0.4830 0.676 0.000 0.392 0.000 0.608
#> 3407B68D-0277-465B-8819-10FAE3EE6572 3 0.0000 0.995 0.000 0.000 1.000 0.000
#> 868CD0D0-1CB4-4F61-B4ED-EB0C93DD950F 2 0.0707 0.715 0.000 0.980 0.000 0.020
#> 823383C2-6F4D-4C0C-8640-3981A7ED1226 1 0.0000 0.713 1.000 0.000 0.000 0.000
#> 95B76301-6382-4F6E-9E09-60EEFEEA03D5 2 0.0469 0.722 0.000 0.988 0.000 0.012
#> 50A46A4F-883E-4DAA-BD16-FCCC5FA3FCD9 2 0.0000 0.732 0.000 1.000 0.000 0.000
#> 5037DC80-5E81-4281-89A0-E0B58071B1D9 1 0.4072 0.534 0.748 0.000 0.252 0.000
#> 6A228156-7365-4A4D-8E66-AA687BF37A24 1 0.4040 0.538 0.752 0.000 0.248 0.000
#> 868C82CD-CB45-4EC9-96A8-77F0F4E0D874 4 0.4830 0.676 0.000 0.392 0.000 0.608
#> 28F5861F-7081-4CE8-A917-941FCB6206FA 2 0.4008 0.674 0.244 0.756 0.000 0.000
#> 1ED41271-3AA4-43F1-B43C-0D5C4F918FB8 2 0.0000 0.732 0.000 1.000 0.000 0.000
#> 5A879DD8-EB7F-4EB6-9A9A-6D62438D8B95 2 0.0000 0.732 0.000 1.000 0.000 0.000
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#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.0921 0.714 0.972 0.028 0.000 0.000
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.0000 0.995 0.000 0.000 1.000 0.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 2 0.0000 0.732 0.000 1.000 0.000 0.000
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.0000 0.995 0.000 0.000 1.000 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.0000 0.732 0.000 1.000 0.000 0.000
#> FC7821F4-6495-4545-A22A-764BB99B3F79 1 0.0817 0.714 0.976 0.024 0.000 0.000
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 4 0.0000 0.790 0.000 0.000 0.000 1.000
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.4994 0.485 0.480 0.520 0.000 0.000
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.0000 0.732 0.000 1.000 0.000 0.000
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.4933 0.575 0.432 0.568 0.000 0.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 4 0.0000 0.790 0.000 0.000 0.000 1.000
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 2 0.0000 0.732 0.000 1.000 0.000 0.000
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.4877 0.600 0.408 0.592 0.000 0.000
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0000 0.995 0.000 0.000 1.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 4 0.0000 0.790 0.000 0.000 0.000 1.000
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.1211 0.695 0.000 0.960 0.000 0.040
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 1 0.0000 0.713 1.000 0.000 0.000 0.000
#> BEE081CA-8420-4314-88A0-286BB30FFD65 2 0.0000 0.732 0.000 1.000 0.000 0.000
#> C464CD1D-4519-48E8-A18A-403F691E5702 2 0.0000 0.732 0.000 1.000 0.000 0.000
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.4933 0.261 0.568 0.000 0.432 0.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.0817 0.711 0.000 0.976 0.000 0.024
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.4713 0.630 0.360 0.640 0.000 0.000
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.0000 0.713 1.000 0.000 0.000 0.000
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.0921 0.714 0.972 0.028 0.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.0798 0.90701 0.008 0.976 0.000 0.000 0.016
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 5 0.4855 0.64721 0.060 0.236 0.004 0.000 0.700
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 4 0.0000 0.94783 0.000 0.000 0.000 1.000 0.000
#> 91202998-760F-4421-B1C4-18639962EDDA 2 0.2757 0.87293 0.072 0.888 0.008 0.000 0.032
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 5 0.3534 0.64476 0.000 0.256 0.000 0.000 0.744
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 5 0.0451 0.88674 0.000 0.008 0.000 0.004 0.988
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 4 0.3661 0.63126 0.000 0.000 0.000 0.724 0.276
#> 54337CE9-6F12-4712-8131-4B83F3216343 5 0.0404 0.88700 0.000 0.012 0.000 0.000 0.988
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 5 0.0290 0.88737 0.000 0.008 0.000 0.000 0.992
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 5 0.4171 0.34539 0.000 0.000 0.000 0.396 0.604
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 5 0.1525 0.88409 0.036 0.012 0.004 0.000 0.948
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.1041 0.94870 0.032 0.000 0.964 0.000 0.004
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 4 0.0000 0.94783 0.000 0.000 0.000 1.000 0.000
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 5 0.2291 0.86906 0.072 0.012 0.008 0.000 0.908
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0451 0.99276 0.008 0.000 0.988 0.000 0.004
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 5 0.0609 0.88642 0.000 0.020 0.000 0.000 0.980
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.2144 0.81858 0.912 0.020 0.068 0.000 0.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 5 0.3715 0.63851 0.004 0.260 0.000 0.000 0.736
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 2 0.4557 0.69424 0.056 0.736 0.004 0.000 0.204
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.2074 0.81457 0.896 0.104 0.000 0.000 0.000
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.0609 0.89309 0.020 0.980 0.000 0.000 0.000
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 4 0.0000 0.94783 0.000 0.000 0.000 1.000 0.000
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 2 0.2152 0.89743 0.044 0.920 0.004 0.000 0.032
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 1 0.2575 0.79461 0.884 0.012 0.100 0.000 0.004
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 5 0.0880 0.87541 0.000 0.000 0.000 0.032 0.968
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 4 0.0000 0.94783 0.000 0.000 0.000 1.000 0.000
#> 1139D935-739E-4C42-BFCB-06021A85932E 4 0.0000 0.94783 0.000 0.000 0.000 1.000 0.000
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.0693 0.90346 0.012 0.980 0.000 0.000 0.008
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.0451 0.99276 0.008 0.000 0.988 0.000 0.004
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.1205 0.90950 0.004 0.956 0.000 0.000 0.040
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 5 0.2005 0.87618 0.056 0.016 0.004 0.000 0.924
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 2 0.1753 0.90438 0.032 0.936 0.000 0.000 0.032
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 5 0.0609 0.88642 0.000 0.020 0.000 0.000 0.980
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 5 0.0404 0.88700 0.000 0.012 0.000 0.000 0.988
#> 2846A3AC-D102-4E37-9B72-139ED727157A 4 0.0162 0.94491 0.000 0.000 0.000 0.996 0.004
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.1043 0.90834 0.000 0.960 0.000 0.000 0.040
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 2 0.4210 0.10072 0.412 0.588 0.000 0.000 0.000
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.4380 0.40310 0.616 0.376 0.008 0.000 0.000
#> 150F5B77-4848-4D68-800A-0A0236C3661F 5 0.3999 0.47285 0.000 0.000 0.000 0.344 0.656
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.2172 0.82500 0.908 0.076 0.016 0.000 0.000
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 5 0.0290 0.88737 0.000 0.008 0.000 0.000 0.992
#> A179B59A-EECC-4692-B008-5117800D7C8B 5 0.0404 0.88700 0.000 0.012 0.000 0.000 0.988
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 5 0.2462 0.86098 0.080 0.004 0.008 0.008 0.900
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 5 0.2172 0.85921 0.020 0.000 0.004 0.060 0.916
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.0880 0.90991 0.000 0.968 0.000 0.000 0.032
#> 1447B543-D3AC-41B5-878F-B382FE49421B 2 0.0963 0.88391 0.036 0.964 0.000 0.000 0.000
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 5 0.1372 0.88557 0.024 0.016 0.004 0.000 0.956
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 2 0.1626 0.90485 0.016 0.940 0.000 0.000 0.044
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.0162 0.99142 0.004 0.000 0.996 0.000 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 2 0.0566 0.90142 0.012 0.984 0.000 0.000 0.004
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 4 0.0000 0.94783 0.000 0.000 0.000 1.000 0.000
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.2325 0.82005 0.904 0.028 0.068 0.000 0.000
#> D9225689-21E0-478A-8F79-C26542938B8D 2 0.1885 0.90182 0.020 0.932 0.004 0.000 0.044
#> FC3BA46D-57F6-424C-8D62-16C441035969 5 0.0290 0.88737 0.000 0.008 0.000 0.000 0.992
#> 045CFFE6-4736-42F2-9340-C37690E47882 3 0.0290 0.99264 0.008 0.000 0.992 0.000 0.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 4 0.0000 0.94783 0.000 0.000 0.000 1.000 0.000
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 2 0.0955 0.91003 0.004 0.968 0.000 0.000 0.028
#> E94B217F-C5DC-4F42-8135-E81F338914B5 5 0.4307 0.00497 0.000 0.000 0.000 0.496 0.504
#> AE4C3956-76DF-4059-8D69-3D764F31817F 5 0.1341 0.85986 0.000 0.000 0.000 0.056 0.944
#> 33D6A38E-CD99-437B-99E0-04E72582F777 2 0.4557 0.68983 0.056 0.736 0.004 0.000 0.204
#> 8379051C-5847-42B5-AC5C-A128C166AB97 2 0.0693 0.90346 0.012 0.980 0.000 0.000 0.008
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 2 0.0566 0.90142 0.012 0.984 0.000 0.000 0.004
#> 40A16429-229E-4F40-BFC7-263554438F99 5 0.1270 0.86200 0.000 0.000 0.000 0.052 0.948
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 5 0.1412 0.88437 0.036 0.008 0.004 0.000 0.952
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 5 0.1525 0.88409 0.036 0.012 0.004 0.000 0.948
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 2 0.4126 0.26631 0.380 0.620 0.000 0.000 0.000
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 2 0.2359 0.88433 0.060 0.904 0.000 0.000 0.036
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.0865 0.90976 0.004 0.972 0.000 0.000 0.024
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 2 0.2074 0.89344 0.044 0.920 0.000 0.000 0.036
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 5 0.0290 0.88737 0.000 0.008 0.000 0.000 0.992
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 2 0.0609 0.90953 0.000 0.980 0.000 0.000 0.020
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.0880 0.90971 0.000 0.968 0.000 0.000 0.032
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 5 0.1270 0.86200 0.000 0.000 0.000 0.052 0.948
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 2 0.2597 0.88042 0.060 0.896 0.004 0.000 0.040
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 2 0.0880 0.89150 0.032 0.968 0.000 0.000 0.000
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 2 0.1809 0.89279 0.060 0.928 0.000 0.000 0.012
#> FDB47AC4-CE6A-428B-9B55-EBCEF1970ACB 4 0.1851 0.86532 0.000 0.000 0.000 0.912 0.088
#> 133B7E7B-FD50-48A2-9A35-E6D44FAB976B 5 0.3395 0.66897 0.000 0.000 0.000 0.236 0.764
#> E69E45DA-66A6-438A-9BFC-5F1F7F5C5A87 5 0.1412 0.88437 0.036 0.008 0.004 0.000 0.952
#> 6E242DF5-8B8B-4C6F-870E-C7ADFFAFDF3E 5 0.0404 0.88700 0.000 0.012 0.000 0.000 0.988
#> CB7BBFF1-4BF3-42A9-85C6-680D91503799 2 0.2438 0.88325 0.060 0.900 0.000 0.000 0.040
#> 70AA4670-C75B-4E39-8958-3F9C29811871 5 0.1630 0.88346 0.036 0.016 0.004 0.000 0.944
#> D63C5178-4FF7-4FD0-B87E-6CBF6E7BEF5B 5 0.3395 0.66983 0.000 0.236 0.000 0.000 0.764
#> 814391F8-C5B9-43F6-A330-A6749BB8F16E 2 0.1549 0.90672 0.016 0.944 0.000 0.000 0.040
#> 146ED7EA-BF3C-4BAB-B33C-0A668AB13C80 5 0.2005 0.87618 0.056 0.016 0.004 0.000 0.924
#> FD5CAFE8-E669-406A-A505-A47DCDC32E93 5 0.1965 0.83366 0.000 0.000 0.000 0.096 0.904
#> 4B3C7910-A652-45B5-8218-9002EB0FD9EB 5 0.1121 0.86566 0.000 0.000 0.000 0.044 0.956
#> E410F77D-E31F-4D73-ACAC-9245935A92F5 4 0.0000 0.94783 0.000 0.000 0.000 1.000 0.000
#> 64336403-9037-480C-873A-67BC77119FA5 2 0.1725 0.90341 0.020 0.936 0.000 0.000 0.044
#> 6F9D5013-3B1B-41EE-85DB-E51F5D828DEF 5 0.1605 0.88330 0.040 0.012 0.004 0.000 0.944
#> 155AEBBD-1C12-4F88-90C7-1C7FF7E3FB2C 5 0.2005 0.87618 0.056 0.016 0.004 0.000 0.924
#> D28DDCAA-682C-451F-8327-D2C2AFB044E2 5 0.0794 0.88336 0.000 0.028 0.000 0.000 0.972
#> 171523DC-2713-4EBF-A115-53A0BA174545 3 0.0290 0.99264 0.008 0.000 0.992 0.000 0.000
#> FD223304-87BA-4462-A5E5-01AB8C018C35 1 0.3561 0.68390 0.740 0.260 0.000 0.000 0.000
#> D8E06D8A-9063-4466-A3B0-7724F4737C7A 2 0.5446 0.52678 0.072 0.632 0.008 0.000 0.288
#> FFA5FFF7-6301-4CD8-8E63-A4D8294D1B0E 4 0.0000 0.94783 0.000 0.000 0.000 1.000 0.000
#> AF3648D6-C774-48CC-9428-ADC00402A562 3 0.0162 0.99142 0.004 0.000 0.996 0.000 0.000
#> BD406B65-B715-444E-95B4-F38D05BAC863 1 0.3999 0.58498 0.656 0.344 0.000 0.000 0.000
#> 6DB67CA1-0BEB-4585-9867-40E7C8A96D55 2 0.1443 0.90640 0.004 0.948 0.004 0.000 0.044
#> 49C9DE1D-784D-405A-9DD3-C4D2890D0309 1 0.2074 0.81584 0.896 0.104 0.000 0.000 0.000
#> 05EC4D30-D34E-4497-B4F4-80AEDC2E70DF 1 0.2351 0.81098 0.896 0.016 0.088 0.000 0.000
#> CB69E76B-7CD3-49EF-9ADF-75701FE1D0A8 5 0.2234 0.86433 0.036 0.000 0.004 0.044 0.916
#> 103C6E25-A69A-460E-81C0-7437547E1334 2 0.2852 0.72596 0.172 0.828 0.000 0.000 0.000
#> 2D986DB0-B5A8-42E8-ACB8-926A16FAABD6 5 0.0404 0.88700 0.000 0.012 0.000 0.000 0.988
#> 1B9A0F24-8A3F-4693-B09C-5F0EFE5A32A5 1 0.4443 0.21339 0.524 0.472 0.004 0.000 0.000
#> C064D1FE-753E-4493-907C-C5FFE19F9875 2 0.1043 0.90834 0.000 0.960 0.000 0.000 0.040
#> 71596860-AEFA-4B94-8ADE-AC33CEA24DD4 2 0.0671 0.89887 0.016 0.980 0.000 0.000 0.004
#> E9A3A454-AB4D-4683-B276-84DA43792DBB 5 0.1412 0.88437 0.036 0.008 0.004 0.000 0.952
#> C5717869-8413-4810-A042-32E949AD3B0A 2 0.1043 0.88078 0.040 0.960 0.000 0.000 0.000
#> F36B393E-859C-49F8-BDF4-ED2CEF4C6307 5 0.4538 0.66542 0.044 0.228 0.004 0.000 0.724
#> 4CC9D3F9-983F-4CB2-91F1-0FBB86D53DC3 2 0.0566 0.90142 0.012 0.984 0.000 0.000 0.004
#> D450F074-CA68-49CE-B0B3-F81A91D54867 2 0.0898 0.90820 0.008 0.972 0.000 0.000 0.020
#> 2BBD504E-FE90-4142-9204-0E33B6B56C7E 5 0.0794 0.87778 0.000 0.000 0.000 0.028 0.972
#> 1A457CBF-24DA-44F1-B9ED-F26B8D1245D4 2 0.1043 0.90834 0.000 0.960 0.000 0.000 0.040
#> F29B5A39-866E-4C9D-BC26-B726FEA5F576 2 0.2414 0.87776 0.080 0.900 0.008 0.000 0.012
#> 89A4972A-8C91-4272-96BE-BCA9BC447780 2 0.0671 0.89887 0.016 0.980 0.000 0.000 0.004
#> 70B014FD-A0D0-418C-B55F-D09BAE213D52 2 0.1121 0.90724 0.000 0.956 0.000 0.000 0.044
#> 8139F417-0548-40B4-851F-A4E149A2E06A 1 0.4415 0.22990 0.552 0.444 0.004 0.000 0.000
#> 6E9F0021-FA91-4516-9B04-6A978034CECF 2 0.4933 0.63041 0.060 0.688 0.004 0.000 0.248
#> 49DAF1CD-8E20-433B-91A7-8C885ACB21A5 4 0.0000 0.94783 0.000 0.000 0.000 1.000 0.000
#> 093765A6-145C-47C3-B87B-4560CD632B4C 5 0.0404 0.88700 0.000 0.012 0.000 0.000 0.988
#> 90731001-45B2-4601-93F5-064BDD519A30 3 0.0324 0.99136 0.004 0.000 0.992 0.000 0.004
#> 40BCB65D-BC26-4FEF-941F-6F4A42D475EB 2 0.0963 0.90907 0.000 0.964 0.000 0.000 0.036
#> 204317C4-B927-4CAC-AADF-E16D19410ADB 5 0.0404 0.88700 0.000 0.012 0.000 0.000 0.988
#> 1023707A-D6DE-432A-AD2D-2318C3F91FA2 5 0.1341 0.85986 0.000 0.000 0.000 0.056 0.944
#> 06F79E8E-50E3-485A-82E9-C7CD4C72333B 5 0.0404 0.88700 0.000 0.012 0.000 0.000 0.988
#> BFAF5464-D239-4A03-AC34-984DEBA84451 5 0.0703 0.87921 0.000 0.000 0.000 0.024 0.976
#> 96C7C73E-F3E1-4937-A267-B7DAAD8EDE37 5 0.1251 0.88526 0.036 0.008 0.000 0.000 0.956
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#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 2 0.0955 0.91003 0.004 0.968 0.000 0.000 0.028
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 2 0.0510 0.89634 0.016 0.984 0.000 0.000 0.000
#> B54639CE-F721-4908-B758-309F148AD3C2 4 0.0000 0.94783 0.000 0.000 0.000 1.000 0.000
#> EB4294E1-3FBC-495C-A041-829A654B59C5 3 0.0451 0.99276 0.008 0.000 0.988 0.000 0.004
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 2 0.1197 0.88148 0.048 0.952 0.000 0.000 0.000
#> EBF3DBA0-0986-4593-BB30-174F2974E918 5 0.0404 0.88700 0.000 0.012 0.000 0.000 0.988
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 1 0.2260 0.82696 0.908 0.064 0.028 0.000 0.000
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 5 0.0609 0.88642 0.000 0.020 0.000 0.000 0.980
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 1 0.2390 0.82470 0.896 0.084 0.020 0.000 0.000
#> D34036E4-1122-42AE-B20F-F4C8515872A0 5 0.0290 0.88737 0.000 0.008 0.000 0.000 0.992
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 2 0.0566 0.90142 0.012 0.984 0.000 0.000 0.004
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 5 0.4415 0.73171 0.072 0.148 0.008 0.000 0.772
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 3 0.0609 0.96854 0.020 0.000 0.980 0.000 0.000
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.4101 0.44519 0.000 0.628 0.000 0.000 0.372
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 5 0.0404 0.88700 0.000 0.012 0.000 0.000 0.988
#> F3C13430-405E-432E-8F3E-0DD18E86087E 5 0.0290 0.88737 0.000 0.008 0.000 0.000 0.992
#> 43EDF662-2507-4B61-B706-B0730F603711 5 0.0290 0.88737 0.000 0.008 0.000 0.000 0.992
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 2 0.1478 0.87854 0.064 0.936 0.000 0.000 0.000
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.1043 0.90834 0.000 0.960 0.000 0.000 0.040
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 5 0.0404 0.88700 0.000 0.012 0.000 0.000 0.988
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 5 0.2179 0.86966 0.072 0.008 0.008 0.000 0.912
#> BC833202-69AD-4BFF-8240-3097D447BBA2 5 0.0404 0.88700 0.000 0.012 0.000 0.000 0.988
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.2074 0.81457 0.896 0.104 0.000 0.000 0.000
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 4 0.0000 0.94783 0.000 0.000 0.000 1.000 0.000
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 1 0.1831 0.81158 0.920 0.076 0.004 0.000 0.000
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 5 0.0404 0.88753 0.000 0.012 0.000 0.000 0.988
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.0451 0.99276 0.008 0.000 0.988 0.000 0.004
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.0451 0.99276 0.008 0.000 0.988 0.000 0.004
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 4 0.0000 0.94783 0.000 0.000 0.000 1.000 0.000
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 2 0.0404 0.89933 0.012 0.988 0.000 0.000 0.000
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.0566 0.90142 0.012 0.984 0.000 0.000 0.004
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 2 0.0404 0.89933 0.012 0.988 0.000 0.000 0.000
#> 343F031B-0095-429D-8212-AD0581DBB05B 5 0.4290 0.70549 0.044 0.196 0.004 0.000 0.756
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 5 0.3395 0.66897 0.000 0.000 0.000 0.236 0.764
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.2575 0.79461 0.884 0.012 0.100 0.000 0.004
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 5 0.0609 0.88642 0.000 0.020 0.000 0.000 0.980
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 5 0.2124 0.86193 0.028 0.000 0.000 0.056 0.916
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 2 0.0609 0.89309 0.020 0.980 0.000 0.000 0.000
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.0566 0.90142 0.012 0.984 0.000 0.000 0.004
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.1043 0.90943 0.000 0.960 0.000 0.000 0.040
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.1544 0.89502 0.000 0.932 0.000 0.000 0.068
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.0162 0.99142 0.004 0.000 0.996 0.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.4437 0.23973 0.532 0.464 0.004 0.000 0.000
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.0566 0.98463 0.012 0.000 0.984 0.000 0.004
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 5 0.1525 0.88409 0.036 0.012 0.004 0.000 0.948
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.0451 0.99276 0.008 0.000 0.988 0.000 0.004
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 5 0.0880 0.88183 0.000 0.032 0.000 0.000 0.968
#> FC7821F4-6495-4545-A22A-764BB99B3F79 2 0.4262 0.00706 0.440 0.560 0.000 0.000 0.000
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 4 0.0000 0.94783 0.000 0.000 0.000 1.000 0.000
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.0693 0.90346 0.012 0.980 0.000 0.000 0.008
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 5 0.1412 0.88437 0.036 0.008 0.004 0.000 0.952
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.0794 0.91000 0.000 0.972 0.000 0.000 0.028
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 4 0.0000 0.94783 0.000 0.000 0.000 1.000 0.000
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 5 0.1630 0.88346 0.036 0.016 0.004 0.000 0.944
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.1469 0.90720 0.016 0.948 0.000 0.000 0.036
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0290 0.99264 0.008 0.000 0.992 0.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 4 0.0000 0.94783 0.000 0.000 0.000 1.000 0.000
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 5 0.0404 0.88700 0.000 0.012 0.000 0.000 0.988
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 1 0.3730 0.65376 0.712 0.288 0.000 0.000 0.000
#> BEE081CA-8420-4314-88A0-286BB30FFD65 2 0.4588 0.69530 0.056 0.732 0.004 0.000 0.208
#> C464CD1D-4519-48E8-A18A-403F691E5702 5 0.2166 0.87103 0.072 0.012 0.004 0.000 0.912
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.2020 0.79657 0.900 0.000 0.100 0.000 0.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 5 0.1329 0.88517 0.032 0.008 0.004 0.000 0.956
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.1197 0.90605 0.000 0.952 0.000 0.000 0.048
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.2280 0.80972 0.880 0.120 0.000 0.000 0.000
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.4446 0.19966 0.520 0.476 0.004 0.000 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 6 0.0622 0.76014 0.008 0.012 0.000 0.000 0.000 0.980
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 2 0.5533 -0.22746 0.000 0.448 0.000 0.420 0.000 0.132
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 5 0.0000 0.84054 0.000 0.000 0.000 0.000 1.000 0.000
#> 91202998-760F-4421-B1C4-18639962EDDA 6 0.4520 0.12842 0.000 0.032 0.000 0.448 0.000 0.520
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.2969 0.37296 0.000 0.776 0.000 0.000 0.000 0.224
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 2 0.3482 0.54167 0.000 0.684 0.000 0.316 0.000 0.000
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 5 0.5933 0.24674 0.000 0.252 0.000 0.288 0.460 0.000
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.2092 0.58531 0.000 0.876 0.000 0.124 0.000 0.000
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.2260 0.58367 0.000 0.860 0.000 0.140 0.000 0.000
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.5879 0.35505 0.000 0.476 0.000 0.284 0.240 0.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 2 0.3652 0.31321 0.000 0.672 0.000 0.324 0.000 0.004
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.0632 0.96426 0.000 0.000 0.976 0.024 0.000 0.000
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 5 0.0000 0.84054 0.000 0.000 0.000 0.000 1.000 0.000
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 4 0.3619 0.31843 0.000 0.316 0.000 0.680 0.000 0.004
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.1075 0.97277 0.000 0.000 0.952 0.048 0.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.0547 0.56029 0.000 0.980 0.000 0.000 0.000 0.020
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.0405 0.79892 0.988 0.000 0.004 0.008 0.000 0.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 2 0.3445 0.33957 0.000 0.744 0.000 0.012 0.000 0.244
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 4 0.6076 -0.00619 0.000 0.268 0.000 0.368 0.000 0.364
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.3789 0.60712 0.716 0.000 0.000 0.024 0.000 0.260
#> D7A50E95-777C-47A6-8F93-031CB4770633 6 0.1341 0.75060 0.024 0.000 0.000 0.028 0.000 0.948
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 5 0.0000 0.84054 0.000 0.000 0.000 0.000 1.000 0.000
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 6 0.4224 0.43280 0.000 0.028 0.000 0.340 0.000 0.632
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 1 0.3649 0.71418 0.764 0.000 0.040 0.196 0.000 0.000
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.3482 0.54167 0.000 0.684 0.000 0.316 0.000 0.000
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 5 0.0000 0.84054 0.000 0.000 0.000 0.000 1.000 0.000
#> 1139D935-739E-4C42-BFCB-06021A85932E 5 0.0260 0.83821 0.000 0.000 0.000 0.008 0.992 0.000
#> 591C91F1-AA70-44DC-B721-0E781C333359 6 0.1138 0.75685 0.024 0.004 0.000 0.012 0.000 0.960
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.0937 0.97507 0.000 0.000 0.960 0.040 0.000 0.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 6 0.2451 0.75262 0.000 0.060 0.000 0.056 0.000 0.884
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 2 0.4639 -0.13685 0.000 0.512 0.000 0.448 0.000 0.040
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 6 0.3470 0.59387 0.000 0.012 0.000 0.248 0.000 0.740
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.1124 0.54668 0.000 0.956 0.000 0.008 0.000 0.036
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.1663 0.58255 0.000 0.912 0.000 0.088 0.000 0.000
#> 2846A3AC-D102-4E37-9B72-139ED727157A 5 0.1625 0.81256 0.000 0.012 0.000 0.060 0.928 0.000
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 6 0.3420 0.66378 0.000 0.240 0.000 0.012 0.000 0.748
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 6 0.4640 0.21614 0.376 0.000 0.000 0.048 0.000 0.576
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 4 0.5935 0.19932 0.300 0.000 0.000 0.456 0.000 0.244
#> 150F5B77-4848-4D68-800A-0A0236C3661F 2 0.5559 0.42394 0.000 0.540 0.000 0.284 0.176 0.000
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.1176 0.79282 0.956 0.000 0.000 0.020 0.000 0.024
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.2941 0.57356 0.000 0.780 0.000 0.220 0.000 0.000
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.1204 0.57888 0.000 0.944 0.000 0.056 0.000 0.000
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 4 0.3468 0.30063 0.000 0.284 0.000 0.712 0.000 0.004
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 2 0.4282 0.42308 0.000 0.560 0.000 0.420 0.020 0.000
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 6 0.2692 0.72432 0.000 0.148 0.000 0.012 0.000 0.840
#> 1447B543-D3AC-41B5-878F-B382FE49421B 6 0.2201 0.73224 0.052 0.000 0.000 0.048 0.000 0.900
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 2 0.4181 0.07834 0.000 0.644 0.000 0.328 0.000 0.028
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 6 0.3608 0.63615 0.000 0.272 0.000 0.012 0.000 0.716
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.0000 0.98117 0.000 0.000 1.000 0.000 0.000 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 6 0.1176 0.75356 0.024 0.000 0.000 0.020 0.000 0.956
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 5 0.0000 0.84054 0.000 0.000 0.000 0.000 1.000 0.000
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.0806 0.79601 0.972 0.000 0.020 0.008 0.000 0.000
#> D9225689-21E0-478A-8F79-C26542938B8D 6 0.3927 0.68695 0.000 0.172 0.000 0.072 0.000 0.756
#> FC3BA46D-57F6-424C-8D62-16C441035969 2 0.3198 0.55695 0.000 0.740 0.000 0.260 0.000 0.000
#> 045CFFE6-4736-42F2-9340-C37690E47882 3 0.0000 0.98117 0.000 0.000 1.000 0.000 0.000 0.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 5 0.0000 0.84054 0.000 0.000 0.000 0.000 1.000 0.000
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 6 0.1219 0.75911 0.000 0.048 0.000 0.004 0.000 0.948
#> E94B217F-C5DC-4F42-8135-E81F338914B5 2 0.6063 0.24386 0.000 0.408 0.000 0.292 0.300 0.000
#> AE4C3956-76DF-4059-8D69-3D764F31817F 2 0.3707 0.53997 0.000 0.680 0.000 0.312 0.008 0.000
#> 33D6A38E-CD99-437B-99E0-04E72582F777 6 0.6109 -0.03489 0.000 0.292 0.000 0.348 0.000 0.360
#> 8379051C-5847-42B5-AC5C-A128C166AB97 6 0.0993 0.75552 0.024 0.000 0.000 0.012 0.000 0.964
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 6 0.1176 0.75356 0.024 0.000 0.000 0.020 0.000 0.956
#> 40A16429-229E-4F40-BFC7-263554438F99 2 0.3974 0.54041 0.000 0.680 0.000 0.296 0.024 0.000
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 2 0.3823 0.32633 0.000 0.564 0.000 0.436 0.000 0.000
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 2 0.3652 0.35927 0.000 0.672 0.000 0.324 0.000 0.004
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 6 0.5705 0.24087 0.280 0.000 0.000 0.204 0.000 0.516
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 6 0.4846 0.30012 0.000 0.068 0.000 0.356 0.000 0.576
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 6 0.1141 0.75863 0.000 0.052 0.000 0.000 0.000 0.948
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 6 0.3608 0.67464 0.000 0.064 0.000 0.148 0.000 0.788
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 2 0.2883 0.57435 0.000 0.788 0.000 0.212 0.000 0.000
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 6 0.1141 0.75905 0.000 0.052 0.000 0.000 0.000 0.948
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 6 0.2738 0.70861 0.000 0.176 0.000 0.004 0.000 0.820
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 2 0.4009 0.54189 0.000 0.684 0.000 0.288 0.028 0.000
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 6 0.5035 0.28612 0.000 0.084 0.000 0.360 0.000 0.556
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 6 0.1341 0.75189 0.028 0.000 0.000 0.024 0.000 0.948
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 6 0.3898 0.42879 0.012 0.000 0.000 0.336 0.000 0.652
#> FDB47AC4-CE6A-428B-9B55-EBCEF1970ACB 5 0.4999 0.57476 0.000 0.128 0.000 0.240 0.632 0.000
#> 133B7E7B-FD50-48A2-9A35-E6D44FAB976B 2 0.5256 0.46476 0.000 0.580 0.000 0.288 0.132 0.000
#> E69E45DA-66A6-438A-9BFC-5F1F7F5C5A87 2 0.3989 0.29855 0.000 0.528 0.000 0.468 0.000 0.004
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#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 6 0.3938 0.66950 0.000 0.228 0.000 0.044 0.000 0.728
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0000 0.98117 0.000 0.000 1.000 0.000 0.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 5 0.0260 0.83821 0.000 0.000 0.000 0.008 0.992 0.000
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.2527 0.58403 0.000 0.832 0.000 0.168 0.000 0.000
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 1 0.4467 0.19994 0.508 0.000 0.000 0.028 0.000 0.464
#> BEE081CA-8420-4314-88A0-286BB30FFD65 4 0.5997 0.10914 0.000 0.240 0.000 0.416 0.000 0.344
#> C464CD1D-4519-48E8-A18A-403F691E5702 4 0.3620 0.30030 0.000 0.352 0.000 0.648 0.000 0.000
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.2728 0.76218 0.860 0.000 0.040 0.100 0.000 0.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.3765 0.43401 0.000 0.596 0.000 0.404 0.000 0.000
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 6 0.3710 0.61551 0.000 0.292 0.000 0.012 0.000 0.696
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.4301 0.39987 0.584 0.000 0.000 0.024 0.000 0.392
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.6088 -0.03446 0.368 0.000 0.000 0.356 0.000 0.276
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 17109 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 5.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.978 0.991 0.5014 0.499 0.499
#> 3 3 0.923 0.929 0.970 0.3228 0.725 0.504
#> 4 4 0.816 0.800 0.916 0.1247 0.789 0.473
#> 5 5 0.912 0.890 0.935 0.0577 0.830 0.467
#> 6 6 0.859 0.719 0.860 0.0413 0.952 0.785
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 5
#> attr(,"optional")
#> [1] 2 3
There is also optional best \(k\) = 2 3 that is worth to check.
Following shows the table of the partitions (You need to click the show/hide
code output link to see it). The membership matrix (columns with name p*)
is inferred by
clue::cl_consensus()
function with the SE method. Basically the value in the membership matrix
represents the probability to belong to a certain group. The finall class
label for an item is determined with the group with highest probability it
belongs to.
In get_classes() function, the entropy is calculated from the membership
matrix and the silhouette score is calculated from the consensus matrix.
cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#> class entropy silhouette p1 p2
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 1 0.0000 0.989 1.000 0.000
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 2 0.0000 0.993 0.000 1.000
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 2 0.0000 0.993 0.000 1.000
#> 91202998-760F-4421-B1C4-18639962EDDA 1 0.0000 0.989 1.000 0.000
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.0000 0.993 0.000 1.000
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 2 0.0000 0.993 0.000 1.000
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 2 0.0000 0.993 0.000 1.000
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.0000 0.993 0.000 1.000
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.0000 0.993 0.000 1.000
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.0000 0.993 0.000 1.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 2 0.0000 0.993 0.000 1.000
#> 784B2359-6064-4FAA-9311-7A852F061FBB 1 0.0000 0.989 1.000 0.000
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 2 0.0000 0.993 0.000 1.000
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 2 0.0000 0.993 0.000 1.000
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 1 0.0000 0.989 1.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.0000 0.993 0.000 1.000
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.0000 0.989 1.000 0.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 2 0.0000 0.993 0.000 1.000
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 2 0.0000 0.993 0.000 1.000
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.0000 0.989 1.000 0.000
#> D7A50E95-777C-47A6-8F93-031CB4770633 1 0.0000 0.989 1.000 0.000
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.0000 0.993 0.000 1.000
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 1 0.3114 0.935 0.944 0.056
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 1 0.0000 0.989 1.000 0.000
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.0000 0.993 0.000 1.000
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 2 0.0000 0.993 0.000 1.000
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.0000 0.993 0.000 1.000
#> 591C91F1-AA70-44DC-B721-0E781C333359 1 0.0000 0.989 1.000 0.000
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 1 0.0000 0.989 1.000 0.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 1 0.3114 0.936 0.944 0.056
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 2 0.0000 0.993 0.000 1.000
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 1 0.0000 0.989 1.000 0.000
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.0000 0.993 0.000 1.000
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.0000 0.993 0.000 1.000
#> 2846A3AC-D102-4E37-9B72-139ED727157A 2 0.0000 0.993 0.000 1.000
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.0938 0.981 0.012 0.988
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 1 0.0000 0.989 1.000 0.000
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.0000 0.989 1.000 0.000
#> 150F5B77-4848-4D68-800A-0A0236C3661F 2 0.0000 0.993 0.000 1.000
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.0000 0.989 1.000 0.000
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.0000 0.993 0.000 1.000
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.0000 0.993 0.000 1.000
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 2 0.0000 0.993 0.000 1.000
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 2 0.0000 0.993 0.000 1.000
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 1 0.7528 0.730 0.784 0.216
#> 1447B543-D3AC-41B5-878F-B382FE49421B 1 0.0000 0.989 1.000 0.000
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 2 0.0000 0.993 0.000 1.000
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 2 0.0000 0.993 0.000 1.000
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 1 0.0000 0.989 1.000 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 1 0.0000 0.989 1.000 0.000
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 2 0.0000 0.993 0.000 1.000
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.0000 0.989 1.000 0.000
#> D9225689-21E0-478A-8F79-C26542938B8D 2 0.0000 0.993 0.000 1.000
#> FC3BA46D-57F6-424C-8D62-16C441035969 2 0.0000 0.993 0.000 1.000
#> 045CFFE6-4736-42F2-9340-C37690E47882 1 0.0000 0.989 1.000 0.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 2 0.0000 0.993 0.000 1.000
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 1 0.0000 0.989 1.000 0.000
#> E94B217F-C5DC-4F42-8135-E81F338914B5 2 0.0000 0.993 0.000 1.000
#> AE4C3956-76DF-4059-8D69-3D764F31817F 2 0.0000 0.993 0.000 1.000
#> 33D6A38E-CD99-437B-99E0-04E72582F777 2 0.0000 0.993 0.000 1.000
#> 8379051C-5847-42B5-AC5C-A128C166AB97 1 0.0000 0.989 1.000 0.000
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 1 0.0000 0.989 1.000 0.000
#> 40A16429-229E-4F40-BFC7-263554438F99 2 0.0000 0.993 0.000 1.000
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 2 0.0000 0.993 0.000 1.000
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 2 0.0000 0.993 0.000 1.000
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 1 0.0000 0.989 1.000 0.000
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 1 0.0000 0.989 1.000 0.000
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 1 0.0000 0.989 1.000 0.000
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 1 0.0000 0.989 1.000 0.000
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 2 0.0000 0.993 0.000 1.000
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 1 0.0000 0.989 1.000 0.000
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 1 0.2778 0.944 0.952 0.048
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 2 0.0000 0.993 0.000 1.000
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 1 0.9710 0.344 0.600 0.400
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 1 0.0000 0.989 1.000 0.000
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 1 0.0000 0.989 1.000 0.000
#> FDB47AC4-CE6A-428B-9B55-EBCEF1970ACB 2 0.0000 0.993 0.000 1.000
#> 133B7E7B-FD50-48A2-9A35-E6D44FAB976B 2 0.0000 0.993 0.000 1.000
#> E69E45DA-66A6-438A-9BFC-5F1F7F5C5A87 2 0.0000 0.993 0.000 1.000
#> 6E242DF5-8B8B-4C6F-870E-C7ADFFAFDF3E 2 0.0000 0.993 0.000 1.000
#> CB7BBFF1-4BF3-42A9-85C6-680D91503799 1 0.6623 0.795 0.828 0.172
#> 70AA4670-C75B-4E39-8958-3F9C29811871 2 0.0000 0.993 0.000 1.000
#> D63C5178-4FF7-4FD0-B87E-6CBF6E7BEF5B 2 0.0000 0.993 0.000 1.000
#> 814391F8-C5B9-43F6-A330-A6749BB8F16E 2 0.6801 0.780 0.180 0.820
#> 146ED7EA-BF3C-4BAB-B33C-0A668AB13C80 2 0.0000 0.993 0.000 1.000
#> FD5CAFE8-E669-406A-A505-A47DCDC32E93 2 0.0000 0.993 0.000 1.000
#> 4B3C7910-A652-45B5-8218-9002EB0FD9EB 2 0.0000 0.993 0.000 1.000
#> E410F77D-E31F-4D73-ACAC-9245935A92F5 2 0.0000 0.993 0.000 1.000
#> 64336403-9037-480C-873A-67BC77119FA5 2 0.4690 0.886 0.100 0.900
#> 6F9D5013-3B1B-41EE-85DB-E51F5D828DEF 2 0.0000 0.993 0.000 1.000
#> 155AEBBD-1C12-4F88-90C7-1C7FF7E3FB2C 2 0.0000 0.993 0.000 1.000
#> D28DDCAA-682C-451F-8327-D2C2AFB044E2 2 0.0000 0.993 0.000 1.000
#> 171523DC-2713-4EBF-A115-53A0BA174545 1 0.0000 0.989 1.000 0.000
#> FD223304-87BA-4462-A5E5-01AB8C018C35 1 0.0000 0.989 1.000 0.000
#> D8E06D8A-9063-4466-A3B0-7724F4737C7A 1 0.0000 0.989 1.000 0.000
#> FFA5FFF7-6301-4CD8-8E63-A4D8294D1B0E 2 0.0000 0.993 0.000 1.000
#> AF3648D6-C774-48CC-9428-ADC00402A562 1 0.0000 0.989 1.000 0.000
#> BD406B65-B715-444E-95B4-F38D05BAC863 1 0.0000 0.989 1.000 0.000
#> 6DB67CA1-0BEB-4585-9867-40E7C8A96D55 2 0.0000 0.993 0.000 1.000
#> 49C9DE1D-784D-405A-9DD3-C4D2890D0309 1 0.0000 0.989 1.000 0.000
#> 05EC4D30-D34E-4497-B4F4-80AEDC2E70DF 1 0.0000 0.989 1.000 0.000
#> CB69E76B-7CD3-49EF-9ADF-75701FE1D0A8 2 0.0000 0.993 0.000 1.000
#> 103C6E25-A69A-460E-81C0-7437547E1334 1 0.0000 0.989 1.000 0.000
#> 2D986DB0-B5A8-42E8-ACB8-926A16FAABD6 2 0.0000 0.993 0.000 1.000
#> 1B9A0F24-8A3F-4693-B09C-5F0EFE5A32A5 1 0.0000 0.989 1.000 0.000
#> C064D1FE-753E-4493-907C-C5FFE19F9875 2 0.0000 0.993 0.000 1.000
#> 71596860-AEFA-4B94-8ADE-AC33CEA24DD4 1 0.0000 0.989 1.000 0.000
#> E9A3A454-AB4D-4683-B276-84DA43792DBB 2 0.0000 0.993 0.000 1.000
#> C5717869-8413-4810-A042-32E949AD3B0A 1 0.0000 0.989 1.000 0.000
#> F36B393E-859C-49F8-BDF4-ED2CEF4C6307 2 0.0000 0.993 0.000 1.000
#> 4CC9D3F9-983F-4CB2-91F1-0FBB86D53DC3 1 0.0000 0.989 1.000 0.000
#> D450F074-CA68-49CE-B0B3-F81A91D54867 1 0.0000 0.989 1.000 0.000
#> 2BBD504E-FE90-4142-9204-0E33B6B56C7E 2 0.0000 0.993 0.000 1.000
#> 1A457CBF-24DA-44F1-B9ED-F26B8D1245D4 2 0.0672 0.985 0.008 0.992
#> F29B5A39-866E-4C9D-BC26-B726FEA5F576 1 0.0000 0.989 1.000 0.000
#> 89A4972A-8C91-4272-96BE-BCA9BC447780 1 0.0000 0.989 1.000 0.000
#> 70B014FD-A0D0-418C-B55F-D09BAE213D52 2 0.0000 0.993 0.000 1.000
#> 8139F417-0548-40B4-851F-A4E149A2E06A 1 0.0000 0.989 1.000 0.000
#> 6E9F0021-FA91-4516-9B04-6A978034CECF 2 0.0000 0.993 0.000 1.000
#> 49DAF1CD-8E20-433B-91A7-8C885ACB21A5 2 0.0000 0.993 0.000 1.000
#> 093765A6-145C-47C3-B87B-4560CD632B4C 2 0.0000 0.993 0.000 1.000
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#> 40BCB65D-BC26-4FEF-941F-6F4A42D475EB 2 0.4298 0.900 0.088 0.912
#> 204317C4-B927-4CAC-AADF-E16D19410ADB 2 0.0000 0.993 0.000 1.000
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#> 06F79E8E-50E3-485A-82E9-C7CD4C72333B 2 0.0000 0.993 0.000 1.000
#> BFAF5464-D239-4A03-AC34-984DEBA84451 2 0.0000 0.993 0.000 1.000
#> 96C7C73E-F3E1-4937-A267-B7DAAD8EDE37 2 0.0000 0.993 0.000 1.000
#> 1D94B33B-9A3F-40BA-90AF-5248ED058C6F 2 0.0000 0.993 0.000 1.000
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#> 95B76301-6382-4F6E-9E09-60EEFEEA03D5 2 0.0000 0.993 0.000 1.000
#> 50A46A4F-883E-4DAA-BD16-FCCC5FA3FCD9 2 0.0000 0.993 0.000 1.000
#> 5037DC80-5E81-4281-89A0-E0B58071B1D9 1 0.0000 0.989 1.000 0.000
#> 6A228156-7365-4A4D-8E66-AA687BF37A24 1 0.0000 0.989 1.000 0.000
#> 868C82CD-CB45-4EC9-96A8-77F0F4E0D874 2 0.0000 0.993 0.000 1.000
#> 28F5861F-7081-4CE8-A917-941FCB6206FA 2 0.0000 0.993 0.000 1.000
#> 1ED41271-3AA4-43F1-B43C-0D5C4F918FB8 2 0.0000 0.993 0.000 1.000
#> 5A879DD8-EB7F-4EB6-9A9A-6D62438D8B95 2 0.0000 0.993 0.000 1.000
#> 8B55B4E4-9222-4F69-AD4A-A92AC948F05E 1 0.5842 0.839 0.860 0.140
#> 1DCE9448-495E-46D3-8953-D733BD68DFE6 1 0.0000 0.989 1.000 0.000
#> C922BF2A-2A98-47CC-9127-1C1A2E38A6B6 1 0.0000 0.989 1.000 0.000
#> 3C14A318-E9ED-4383-9F57-E227D478B450 1 0.6887 0.777 0.816 0.184
#> 183B0920-7505-4B65-A940-97021F11DDC1 1 0.0000 0.989 1.000 0.000
#> CF8B38D4-717B-4F8A-8DA4-8B721E6DFB1C 1 0.5059 0.873 0.888 0.112
#> 0C7BEFDE-507E-43B2-938D-5695FE462875 2 0.0000 0.993 0.000 1.000
#> 940D45CC-1300-4E92-A79A-6EDC8118E9E2 1 0.0000 0.989 1.000 0.000
#> 772D02BF-D8A6-4C99-8C82-5902DEB3A067 2 0.0000 0.993 0.000 1.000
#> F5D71464-EFD6-4922-9BC9-2620A90DA6F4 2 0.0000 0.993 0.000 1.000
#> 7C8BDCBF-68D3-4E03-B2D3-31D12CE2784D 1 0.0000 0.989 1.000 0.000
#> 9DF2F46F-A133-4892-B895-3102F7ACA5DB 1 0.0000 0.989 1.000 0.000
#> 8A7A65FE-1A7E-42E5-8A5A-55E7733521DA 2 0.0000 0.993 0.000 1.000
#> 40566B4F-12CE-4FB2-9A64-4C59EC0793F2 1 0.0000 0.989 1.000 0.000
#> 8E29A6F7-77BC-44EF-AB26-10FCA1187FFF 2 0.0000 0.993 0.000 1.000
#> A358DF66-5BAE-42C2-8516-224E7CC40ED5 2 0.0000 0.993 0.000 1.000
#> EB60E3E6-67CA-42E2-8D30-DAFFD763880B 2 0.0000 0.993 0.000 1.000
#> 904813F9-5366-47D5-812A-6C4C8E7703C2 2 0.0000 0.993 0.000 1.000
#> F192059C-1945-4C20-8076-2B0D1EDFE659 1 0.0000 0.989 1.000 0.000
#> 2C19B0A6-347F-4BD4-8ECE-6AFDA076F63D 1 0.0000 0.989 1.000 0.000
#> 20632EF0-B3E3-4CCF-BD24-D7E75FC20C33 1 0.0000 0.989 1.000 0.000
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#> 55F8E6BA-AF16-4514-8845-1FCACB758812 1 0.0000 0.989 1.000 0.000
#> 7F9B2F13-F387-4A54-920A-62C23D9BFB77 2 0.0000 0.993 0.000 1.000
#> 248E5BD8-0458-43A1-B5D1-BDA14558421F 1 0.0000 0.989 1.000 0.000
#> B150AB08-9BE5-4DBB-AB30-80C09B319E6D 2 0.0000 0.993 0.000 1.000
#> 4DC8E477-9AA6-41F7-A7BB-EEEFAFD33256 2 0.5737 0.841 0.136 0.864
#> 327E0B69-E439-4161-BD58-2E22C5D3A76F 1 0.0000 0.989 1.000 0.000
#> 50F9B130-6BE8-483C-828F-15445492B631 1 0.0938 0.978 0.988 0.012
#> D57E89FF-CC54-4FE9-A99B-2E75D407AB91 2 0.0000 0.993 0.000 1.000
#> 659F3E30-3F80-49AF-9713-824F8D42BA74 2 0.0000 0.993 0.000 1.000
#> 29E8ADB9-3F5D-497A-9A6B-85218AE2DB14 1 0.0000 0.989 1.000 0.000
#> 73B58A54-E759-44FE-8B84-70D60C78066D 2 0.0000 0.993 0.000 1.000
#> 4001EE2D-F208-465E-B718-01CCB9BD1C17 1 0.0000 0.989 1.000 0.000
#> AFE61E30-D425-40CC-BC57-C210A0D03EFE 1 0.0000 0.989 1.000 0.000
#> C06D79D5-4D8A-47D3-97CE-0E9BA204347C 2 0.0000 0.993 0.000 1.000
#> 3975BE32-7E20-4EFC-9122-FE468544C5D9 1 0.0000 0.989 1.000 0.000
#> 0FDC5030-92FC-44B5-AE62-6EC3EA9290BB 1 0.0000 0.989 1.000 0.000
#> 8E3F8687-B00B-4FA9-84F2-F731B169FC45 2 0.0000 0.993 0.000 1.000
#> 45CEDF59-BC7A-4D86-8C2D-9A91AC141D30 1 0.0000 0.989 1.000 0.000
#> 4043BFE7-72A7-4A95-8CB2-53FDD574B7EA 2 0.0000 0.993 0.000 1.000
#> 64D465E7-0DB8-46A1-8BF2-BBF59D23B7EB 1 0.0000 0.989 1.000 0.000
#> 9824DFB4-0A1A-4BA4-B2DC-5348DA3D3AE6 1 0.0000 0.989 1.000 0.000
#> 50ECFB2A-FF9D-4A8A-91CB-3902D3B670A0 1 0.0000 0.989 1.000 0.000
#> 755D805B-B9F4-41D3-ACA7-2BB599C3D529 2 0.0000 0.993 0.000 1.000
#> 0BA34100-8588-47B5-A962-4BD1916645B6 1 0.0000 0.989 1.000 0.000
#> 9CE2E8D4-1AD1-4546-AD5D-D58193F79096 2 0.0000 0.993 0.000 1.000
#> 92D7DB12-B0E0-4072-98FB-34B112E7728D 1 0.0000 0.989 1.000 0.000
#> 79FD2101-0A9A-4EA7-A773-5EA8693138D0 2 0.0000 0.993 0.000 1.000
#> A3A8937A-0B0B-4A68-AE68-81DA9CF7F4FB 2 0.0000 0.993 0.000 1.000
#> 3EB3C0F8-4CBC-41A7-81E4-4D8A565441A7 1 0.0000 0.989 1.000 0.000
#> 77EE3B54-FD7A-4ACF-879C-31667ADCCC5B 2 0.0000 0.993 0.000 1.000
#> 327B2123-6DD8-4263-87DE-EE917E911DD4 2 0.0000 0.993 0.000 1.000
#> 198A6AD0-79CD-40F5-A622-18AFBE78F2D2 1 0.0000 0.989 1.000 0.000
#> EEE29DE1-F88C-4184-B499-5E86E2D252C4 1 0.0000 0.989 1.000 0.000
#> 1E95EA22-BC41-4AAE-AFCC-F9281989A785 1 0.0000 0.989 1.000 0.000
#> CD3AC0E4-88A9-4084-A2BE-AEE722CF6AA3 1 0.0000 0.989 1.000 0.000
#> 8D7FABA2-764D-4795-BB04-D9E69E9792B9 1 0.0000 0.989 1.000 0.000
#> DAC07889-EE06-46E0-B1F1-833ECC0A48A9 2 0.0000 0.993 0.000 1.000
#> E7B555A3-567B-4A44-8225-D269E73FB50B 2 0.0000 0.993 0.000 1.000
#> 3CC95101-C35F-4761-9D41-3C35BD55B37E 2 0.0000 0.993 0.000 1.000
#> F62E5A69-5E81-4B2A-8CC0-F4D6E188B187 1 0.0000 0.989 1.000 0.000
#> C650633B-A369-4657-8693-FDFBF22BD34E 1 0.0000 0.989 1.000 0.000
#> 5E514217-F0DB-49FD-9C5D-EB22628ED297 2 0.0000 0.993 0.000 1.000
#> 6E1DB9BF-06FE-48B1-A2D8-EF2CE7591364 2 0.1843 0.965 0.028 0.972
#> C9581CE3-58B6-45B4-B4B7-15F555FD84A4 1 0.0000 0.989 1.000 0.000
#> F56C26ED-9358-485B-8867-EBA1CAA4E2A7 1 0.1843 0.963 0.972 0.028
#> 45CA3F9E-40EE-43A4-AE57-FE51D4003844 2 0.0000 0.993 0.000 1.000
#> 47EFA063-19C1-4E1F-ACE8-68D9BAD0B995 1 0.0000 0.989 1.000 0.000
#> 8C30EA0F-0DA1-43C7-81AE-DE825A53F114 2 0.0000 0.993 0.000 1.000
#> 2CE7477C-DD09-4B3A-AD65-C696BE8C9B11 1 0.0000 0.989 1.000 0.000
#> 4DECB19A-290F-4CEB-BE25-AAF9B9E2B58F 1 0.0000 0.989 1.000 0.000
#> 3DEA9B14-DF42-43A0-AC4A-32AE7A16218D 2 0.0000 0.993 0.000 1.000
#> 9F57D45B-C62F-44C5-AB9D-0CB54BBA16F5 1 0.0000 0.989 1.000 0.000
#> 54ACCFD9-A8D6-4E4C-9097-1A0BE258AA1B 1 0.0000 0.989 1.000 0.000
#> 9EE67DE9-9B56-4773-8F6A-1036D31F568E 1 0.9909 0.209 0.556 0.444
#> 1B1C9301-D6D6-4F6B-80A3-3603013AA951 1 0.0000 0.989 1.000 0.000
#> DDDCDF00-FB0A-477B-891B-2EE5E0C8F61E 1 0.0000 0.989 1.000 0.000
#> 34A3260D-AC4D-416F-ADF0-24013048BC46 1 0.0000 0.989 1.000 0.000
#> 671C1840-9C1B-4AC1-9564-78802489F763 1 0.0000 0.989 1.000 0.000
#> BA4F7841-9FC3-4CE6-ACA5-43FC36641640 1 0.0000 0.989 1.000 0.000
#> 24A02CE5-28E7-457E-8B90-4EACA528B072 1 0.0000 0.989 1.000 0.000
#> C7008665-F6DE-48B4-A0E7-6C388B72C609 2 0.0000 0.993 0.000 1.000
#> 50F984AB-95C1-4D7B-A787-418CBB59D165 1 0.0000 0.989 1.000 0.000
#> 5FFD2A6A-ED8A-44A9-9FC1-3106341C284A 2 0.0000 0.993 0.000 1.000
#> 7481630E-5CBA-4A4A-A16F-E327BCEE11D3 1 0.0000 0.989 1.000 0.000
#> 7B3E6643-C148-4266-A3A3-80BAB713DD3E 2 0.0000 0.993 0.000 1.000
#> BA8564FA-8D4D-4B2F-A178-63209F887A05 1 0.0000 0.989 1.000 0.000
#> 2FB578F6-E8B7-434D-9720-D448A26C1EFD 1 0.0000 0.989 1.000 0.000
#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 1 0.0000 0.989 1.000 0.000
#> 740FCE46-8A4A-4A6A-B79F-78A63D28E313 2 0.0000 0.993 0.000 1.000
#> 523A5832-0C42-44A4-A58F-7011C3A567DC 1 0.0000 0.989 1.000 0.000
#> A2C68C81-7371-4E0C-BFD1-EA868A7C9499 1 0.0000 0.989 1.000 0.000
#> 2EB7025A-D932-4238-BD60-609B25150029 2 0.0000 0.993 0.000 1.000
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 2 0.0000 0.993 0.000 1.000
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 2 0.0000 0.993 0.000 1.000
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 2 0.0000 0.993 0.000 1.000
#> F081EA01-ED14-491B-9620-BF8F10A7431D 2 0.0000 0.993 0.000 1.000
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 1 0.0000 0.989 1.000 0.000
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 1 0.0000 0.989 1.000 0.000
#> B54639CE-F721-4908-B758-309F148AD3C2 2 0.0000 0.993 0.000 1.000
#> EB4294E1-3FBC-495C-A041-829A654B59C5 1 0.0000 0.989 1.000 0.000
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 1 0.0000 0.989 1.000 0.000
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.0000 0.993 0.000 1.000
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 1 0.0000 0.989 1.000 0.000
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.0000 0.993 0.000 1.000
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 1 0.0000 0.989 1.000 0.000
#> D34036E4-1122-42AE-B20F-F4C8515872A0 2 0.0000 0.993 0.000 1.000
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 1 0.0000 0.989 1.000 0.000
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 2 0.0672 0.985 0.008 0.992
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 1 0.0000 0.989 1.000 0.000
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.0000 0.993 0.000 1.000
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.0000 0.993 0.000 1.000
#> F3C13430-405E-432E-8F3E-0DD18E86087E 2 0.0000 0.993 0.000 1.000
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.0000 0.993 0.000 1.000
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 1 0.0000 0.989 1.000 0.000
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.0672 0.985 0.008 0.992
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.0000 0.993 0.000 1.000
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 2 0.0000 0.993 0.000 1.000
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.0000 0.993 0.000 1.000
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.0000 0.989 1.000 0.000
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 2 0.0000 0.993 0.000 1.000
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 1 0.0000 0.989 1.000 0.000
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.0000 0.993 0.000 1.000
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 1 0.0000 0.989 1.000 0.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 1 0.0000 0.989 1.000 0.000
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 2 0.0000 0.993 0.000 1.000
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 1 0.0000 0.989 1.000 0.000
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 1 0.0000 0.989 1.000 0.000
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 1 0.0000 0.989 1.000 0.000
#> 343F031B-0095-429D-8212-AD0581DBB05B 2 0.0000 0.993 0.000 1.000
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 2 0.0000 0.993 0.000 1.000
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.0000 0.989 1.000 0.000
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 2 0.0000 0.993 0.000 1.000
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 2 0.0000 0.993 0.000 1.000
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 1 0.0000 0.989 1.000 0.000
#> F9F33C38-A087-49FF-B994-3C9EE264F448 1 0.0000 0.989 1.000 0.000
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 1 0.2236 0.956 0.964 0.036
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.0000 0.993 0.000 1.000
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 1 0.0000 0.989 1.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.0000 0.989 1.000 0.000
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 1 0.0000 0.989 1.000 0.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 2 0.0000 0.993 0.000 1.000
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 1 0.0000 0.989 1.000 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.0000 0.993 0.000 1.000
#> FC7821F4-6495-4545-A22A-764BB99B3F79 1 0.0000 0.989 1.000 0.000
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.0000 0.993 0.000 1.000
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 1 0.0000 0.989 1.000 0.000
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.0000 0.993 0.000 1.000
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 1 0.0000 0.989 1.000 0.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 2 0.0000 0.993 0.000 1.000
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 2 0.0000 0.993 0.000 1.000
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.9963 0.123 0.464 0.536
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 1 0.0000 0.989 1.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 2 0.0000 0.993 0.000 1.000
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.0000 0.993 0.000 1.000
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 1 0.0000 0.989 1.000 0.000
#> BEE081CA-8420-4314-88A0-286BB30FFD65 2 0.0000 0.993 0.000 1.000
#> C464CD1D-4519-48E8-A18A-403F691E5702 2 0.0000 0.993 0.000 1.000
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.0000 0.989 1.000 0.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.0000 0.993 0.000 1.000
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0000 0.993 0.000 1.000
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.0000 0.989 1.000 0.000
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.0000 0.989 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 3 0.0000 0.940 0.000 0.000 1.000
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 2 0.0424 0.983 0.000 0.992 0.008
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 2 0.0000 0.991 0.000 1.000 0.000
#> 91202998-760F-4421-B1C4-18639962EDDA 1 0.2356 0.900 0.928 0.000 0.072
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 3 0.6026 0.462 0.000 0.376 0.624
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 2 0.0000 0.991 0.000 1.000 0.000
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 2 0.0000 0.991 0.000 1.000 0.000
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.0000 0.991 0.000 1.000 0.000
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.0000 0.991 0.000 1.000 0.000
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.0000 0.991 0.000 1.000 0.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 2 0.0000 0.991 0.000 1.000 0.000
#> 784B2359-6064-4FAA-9311-7A852F061FBB 1 0.0000 0.971 1.000 0.000 0.000
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 2 0.0000 0.991 0.000 1.000 0.000
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 2 0.0000 0.991 0.000 1.000 0.000
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 1 0.0000 0.971 1.000 0.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.0000 0.991 0.000 1.000 0.000
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.0000 0.971 1.000 0.000 0.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 3 0.4399 0.778 0.000 0.188 0.812
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 3 0.0237 0.937 0.000 0.004 0.996
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.4796 0.700 0.780 0.000 0.220
#> D7A50E95-777C-47A6-8F93-031CB4770633 3 0.0000 0.940 0.000 0.000 1.000
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.0000 0.991 0.000 1.000 0.000
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 3 0.0000 0.940 0.000 0.000 1.000
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 1 0.0000 0.971 1.000 0.000 0.000
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.0000 0.991 0.000 1.000 0.000
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 2 0.0000 0.991 0.000 1.000 0.000
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.0000 0.991 0.000 1.000 0.000
#> 591C91F1-AA70-44DC-B721-0E781C333359 3 0.0000 0.940 0.000 0.000 1.000
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 1 0.0000 0.971 1.000 0.000 0.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 3 0.0000 0.940 0.000 0.000 1.000
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 2 0.0000 0.991 0.000 1.000 0.000
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 3 0.0000 0.940 0.000 0.000 1.000
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.0000 0.991 0.000 1.000 0.000
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.0000 0.991 0.000 1.000 0.000
#> 2846A3AC-D102-4E37-9B72-139ED727157A 2 0.0000 0.991 0.000 1.000 0.000
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 3 0.0000 0.940 0.000 0.000 1.000
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 3 0.4605 0.742 0.204 0.000 0.796
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.0000 0.971 1.000 0.000 0.000
#> 150F5B77-4848-4D68-800A-0A0236C3661F 2 0.0000 0.991 0.000 1.000 0.000
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.0000 0.971 1.000 0.000 0.000
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.0000 0.991 0.000 1.000 0.000
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.0000 0.991 0.000 1.000 0.000
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 2 0.0000 0.991 0.000 1.000 0.000
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 2 0.0000 0.991 0.000 1.000 0.000
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 3 0.0000 0.940 0.000 0.000 1.000
#> 1447B543-D3AC-41B5-878F-B382FE49421B 3 0.4452 0.758 0.192 0.000 0.808
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#> 2CE7477C-DD09-4B3A-AD65-C696BE8C9B11 1 0.0000 0.971 1.000 0.000 0.000
#> 4DECB19A-290F-4CEB-BE25-AAF9B9E2B58F 1 0.0000 0.971 1.000 0.000 0.000
#> 3DEA9B14-DF42-43A0-AC4A-32AE7A16218D 2 0.0000 0.991 0.000 1.000 0.000
#> 9F57D45B-C62F-44C5-AB9D-0CB54BBA16F5 3 0.0000 0.940 0.000 0.000 1.000
#> 54ACCFD9-A8D6-4E4C-9097-1A0BE258AA1B 1 0.0000 0.971 1.000 0.000 0.000
#> 9EE67DE9-9B56-4773-8F6A-1036D31F568E 3 0.0000 0.940 0.000 0.000 1.000
#> 1B1C9301-D6D6-4F6B-80A3-3603013AA951 3 0.0000 0.940 0.000 0.000 1.000
#> DDDCDF00-FB0A-477B-891B-2EE5E0C8F61E 1 0.0000 0.971 1.000 0.000 0.000
#> 34A3260D-AC4D-416F-ADF0-24013048BC46 3 0.0000 0.940 0.000 0.000 1.000
#> 671C1840-9C1B-4AC1-9564-78802489F763 1 0.0000 0.971 1.000 0.000 0.000
#> BA4F7841-9FC3-4CE6-ACA5-43FC36641640 1 0.0000 0.971 1.000 0.000 0.000
#> 24A02CE5-28E7-457E-8B90-4EACA528B072 1 0.0000 0.971 1.000 0.000 0.000
#> C7008665-F6DE-48B4-A0E7-6C388B72C609 2 0.0000 0.991 0.000 1.000 0.000
#> 50F984AB-95C1-4D7B-A787-418CBB59D165 3 0.3192 0.846 0.112 0.000 0.888
#> 5FFD2A6A-ED8A-44A9-9FC1-3106341C284A 2 0.0000 0.991 0.000 1.000 0.000
#> 7481630E-5CBA-4A4A-A16F-E327BCEE11D3 3 0.0000 0.940 0.000 0.000 1.000
#> 7B3E6643-C148-4266-A3A3-80BAB713DD3E 3 0.3879 0.818 0.000 0.152 0.848
#> BA8564FA-8D4D-4B2F-A178-63209F887A05 1 0.0000 0.971 1.000 0.000 0.000
#> 2FB578F6-E8B7-434D-9720-D448A26C1EFD 1 0.0000 0.971 1.000 0.000 0.000
#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 3 0.0000 0.940 0.000 0.000 1.000
#> 740FCE46-8A4A-4A6A-B79F-78A63D28E313 2 0.0000 0.991 0.000 1.000 0.000
#> 523A5832-0C42-44A4-A58F-7011C3A567DC 1 0.0000 0.971 1.000 0.000 0.000
#> A2C68C81-7371-4E0C-BFD1-EA868A7C9499 3 0.0000 0.940 0.000 0.000 1.000
#> 2EB7025A-D932-4238-BD60-609B25150029 2 0.0000 0.991 0.000 1.000 0.000
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 2 0.0000 0.991 0.000 1.000 0.000
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 2 0.0000 0.991 0.000 1.000 0.000
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 2 0.5058 0.647 0.000 0.756 0.244
#> F081EA01-ED14-491B-9620-BF8F10A7431D 2 0.0000 0.991 0.000 1.000 0.000
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 3 0.0000 0.940 0.000 0.000 1.000
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 3 0.0000 0.940 0.000 0.000 1.000
#> B54639CE-F721-4908-B758-309F148AD3C2 2 0.0000 0.991 0.000 1.000 0.000
#> EB4294E1-3FBC-495C-A041-829A654B59C5 1 0.0000 0.971 1.000 0.000 0.000
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 3 0.4555 0.747 0.200 0.000 0.800
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.0000 0.991 0.000 1.000 0.000
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 1 0.0000 0.971 1.000 0.000 0.000
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.0000 0.991 0.000 1.000 0.000
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 1 0.0000 0.971 1.000 0.000 0.000
#> D34036E4-1122-42AE-B20F-F4C8515872A0 2 0.0000 0.991 0.000 1.000 0.000
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 3 0.0000 0.940 0.000 0.000 1.000
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 2 0.0424 0.983 0.008 0.992 0.000
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 1 0.0000 0.971 1.000 0.000 0.000
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 3 0.0000 0.940 0.000 0.000 1.000
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.0000 0.991 0.000 1.000 0.000
#> F3C13430-405E-432E-8F3E-0DD18E86087E 2 0.0000 0.991 0.000 1.000 0.000
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.4555 0.726 0.000 0.800 0.200
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 3 0.6140 0.346 0.404 0.000 0.596
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 3 0.0000 0.940 0.000 0.000 1.000
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.0000 0.991 0.000 1.000 0.000
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 2 0.0000 0.991 0.000 1.000 0.000
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.0000 0.991 0.000 1.000 0.000
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.4452 0.742 0.808 0.000 0.192
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 2 0.0000 0.991 0.000 1.000 0.000
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 1 0.0000 0.971 1.000 0.000 0.000
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.0000 0.991 0.000 1.000 0.000
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 1 0.0000 0.971 1.000 0.000 0.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 1 0.0000 0.971 1.000 0.000 0.000
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 2 0.0000 0.991 0.000 1.000 0.000
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 3 0.0000 0.940 0.000 0.000 1.000
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 3 0.0000 0.940 0.000 0.000 1.000
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 3 0.0000 0.940 0.000 0.000 1.000
#> 343F031B-0095-429D-8212-AD0581DBB05B 3 0.4750 0.743 0.000 0.216 0.784
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 2 0.0000 0.991 0.000 1.000 0.000
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.0000 0.971 1.000 0.000 0.000
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 2 0.0000 0.991 0.000 1.000 0.000
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 2 0.0000 0.991 0.000 1.000 0.000
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 3 0.0000 0.940 0.000 0.000 1.000
#> F9F33C38-A087-49FF-B994-3C9EE264F448 3 0.0000 0.940 0.000 0.000 1.000
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 3 0.0000 0.940 0.000 0.000 1.000
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 3 0.0000 0.940 0.000 0.000 1.000
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 1 0.0000 0.971 1.000 0.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.0000 0.971 1.000 0.000 0.000
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 1 0.0000 0.971 1.000 0.000 0.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 2 0.0000 0.991 0.000 1.000 0.000
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 1 0.0000 0.971 1.000 0.000 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 3 0.6252 0.286 0.000 0.444 0.556
#> FC7821F4-6495-4545-A22A-764BB99B3F79 1 0.0000 0.971 1.000 0.000 0.000
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.0000 0.991 0.000 1.000 0.000
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 3 0.0000 0.940 0.000 0.000 1.000
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.0000 0.991 0.000 1.000 0.000
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 3 0.0000 0.940 0.000 0.000 1.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 2 0.0000 0.991 0.000 1.000 0.000
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 2 0.0000 0.991 0.000 1.000 0.000
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 3 0.0000 0.940 0.000 0.000 1.000
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 1 0.0000 0.971 1.000 0.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 2 0.0000 0.991 0.000 1.000 0.000
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.0000 0.991 0.000 1.000 0.000
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 1 0.6126 0.311 0.600 0.000 0.400
#> BEE081CA-8420-4314-88A0-286BB30FFD65 3 0.5560 0.614 0.000 0.300 0.700
#> C464CD1D-4519-48E8-A18A-403F691E5702 2 0.0000 0.991 0.000 1.000 0.000
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.0000 0.971 1.000 0.000 0.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.0000 0.991 0.000 1.000 0.000
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 3 0.0000 0.940 0.000 0.000 1.000
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.4974 0.673 0.764 0.000 0.236
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.0000 0.971 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 1 0.0000 0.8176 1.000 0.000 0.000 0.000
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 2 0.3726 0.6941 0.000 0.788 0.000 0.212
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 4 0.0000 0.9593 0.000 0.000 0.000 1.000
#> 91202998-760F-4421-B1C4-18639962EDDA 1 0.2281 0.7734 0.904 0.000 0.096 0.000
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.0000 0.8989 0.000 1.000 0.000 0.000
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 4 0.0000 0.9593 0.000 0.000 0.000 1.000
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 4 0.0000 0.9593 0.000 0.000 0.000 1.000
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.4277 0.5504 0.000 0.720 0.000 0.280
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 4 0.4985 0.1341 0.000 0.468 0.000 0.532
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 4 0.0000 0.9593 0.000 0.000 0.000 1.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 4 0.4933 0.2580 0.000 0.432 0.000 0.568
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.0000 0.9427 0.000 0.000 1.000 0.000
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 4 0.0000 0.9593 0.000 0.000 0.000 1.000
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 4 0.0000 0.9593 0.000 0.000 0.000 1.000
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0000 0.9427 0.000 0.000 1.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.0000 0.8989 0.000 1.000 0.000 0.000
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 3 0.0188 0.9394 0.004 0.000 0.996 0.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 2 0.0000 0.8989 0.000 1.000 0.000 0.000
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 2 0.0000 0.8989 0.000 1.000 0.000 0.000
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.0000 0.8176 1.000 0.000 0.000 0.000
#> D7A50E95-777C-47A6-8F93-031CB4770633 1 0.0000 0.8176 1.000 0.000 0.000 0.000
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 4 0.0000 0.9593 0.000 0.000 0.000 1.000
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 1 0.0921 0.8070 0.972 0.028 0.000 0.000
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 3 0.3688 0.6944 0.208 0.000 0.792 0.000
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 4 0.0000 0.9593 0.000 0.000 0.000 1.000
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 4 0.0000 0.9593 0.000 0.000 0.000 1.000
#> 1139D935-739E-4C42-BFCB-06021A85932E 4 0.0000 0.9593 0.000 0.000 0.000 1.000
#> 591C91F1-AA70-44DC-B721-0E781C333359 1 0.0000 0.8176 1.000 0.000 0.000 0.000
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.0000 0.9427 0.000 0.000 1.000 0.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 1 0.4776 0.2849 0.624 0.376 0.000 0.000
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 4 0.3873 0.7062 0.000 0.228 0.000 0.772
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 1 0.0000 0.8176 1.000 0.000 0.000 0.000
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.0000 0.8989 0.000 1.000 0.000 0.000
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.1118 0.8730 0.000 0.964 0.000 0.036
#> 2846A3AC-D102-4E37-9B72-139ED727157A 4 0.0000 0.9593 0.000 0.000 0.000 1.000
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.0336 0.8948 0.008 0.992 0.000 0.000
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 1 0.0000 0.8176 1.000 0.000 0.000 0.000
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 3 0.0000 0.9427 0.000 0.000 1.000 0.000
#> 150F5B77-4848-4D68-800A-0A0236C3661F 4 0.0000 0.9593 0.000 0.000 0.000 1.000
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.3610 0.6886 0.800 0.000 0.200 0.000
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 4 0.4898 0.2904 0.000 0.416 0.000 0.584
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.0000 0.8989 0.000 1.000 0.000 0.000
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 4 0.0000 0.9593 0.000 0.000 0.000 1.000
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 4 0.0000 0.9593 0.000 0.000 0.000 1.000
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.4331 0.6198 0.288 0.712 0.000 0.000
#> 1447B543-D3AC-41B5-878F-B382FE49421B 1 0.0000 0.8176 1.000 0.000 0.000 0.000
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 2 0.2760 0.8004 0.000 0.872 0.000 0.128
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 2 0.0000 0.8989 0.000 1.000 0.000 0.000
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.0000 0.9427 0.000 0.000 1.000 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 1 0.0000 0.8176 1.000 0.000 0.000 0.000
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 4 0.0000 0.9593 0.000 0.000 0.000 1.000
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.4866 0.3822 0.596 0.000 0.404 0.000
#> D9225689-21E0-478A-8F79-C26542938B8D 2 0.1474 0.8643 0.052 0.948 0.000 0.000
#> FC3BA46D-57F6-424C-8D62-16C441035969 4 0.0000 0.9593 0.000 0.000 0.000 1.000
#> 045CFFE6-4736-42F2-9340-C37690E47882 3 0.0000 0.9427 0.000 0.000 1.000 0.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 4 0.0000 0.9593 0.000 0.000 0.000 1.000
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 1 0.4605 0.3849 0.664 0.336 0.000 0.000
#> E94B217F-C5DC-4F42-8135-E81F338914B5 4 0.0000 0.9593 0.000 0.000 0.000 1.000
#> AE4C3956-76DF-4059-8D69-3D764F31817F 4 0.0000 0.9593 0.000 0.000 0.000 1.000
#> 33D6A38E-CD99-437B-99E0-04E72582F777 2 0.0000 0.8989 0.000 1.000 0.000 0.000
#> 8379051C-5847-42B5-AC5C-A128C166AB97 1 0.0000 0.8176 1.000 0.000 0.000 0.000
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 1 0.0000 0.8176 1.000 0.000 0.000 0.000
#> 40A16429-229E-4F40-BFC7-263554438F99 4 0.0000 0.9593 0.000 0.000 0.000 1.000
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 4 0.0000 0.9593 0.000 0.000 0.000 1.000
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 4 0.4985 0.1340 0.000 0.468 0.000 0.532
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 1 0.4866 0.3822 0.596 0.000 0.404 0.000
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 1 0.4998 -0.1178 0.512 0.488 0.000 0.000
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 1 0.4730 0.3165 0.636 0.364 0.000 0.000
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 2 0.4866 0.4167 0.404 0.596 0.000 0.000
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 4 0.4916 0.2703 0.000 0.424 0.000 0.576
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 2 0.5000 0.1542 0.496 0.504 0.000 0.000
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.4776 0.4734 0.376 0.624 0.000 0.000
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 4 0.0000 0.9593 0.000 0.000 0.000 1.000
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 2 0.4697 0.5084 0.356 0.644 0.000 0.000
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 1 0.0000 0.8176 1.000 0.000 0.000 0.000
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#> 4DECB19A-290F-4CEB-BE25-AAF9B9E2B58F 1 0.4866 0.3822 0.596 0.000 0.404 0.000
#> 3DEA9B14-DF42-43A0-AC4A-32AE7A16218D 4 0.0000 0.9593 0.000 0.000 0.000 1.000
#> 9F57D45B-C62F-44C5-AB9D-0CB54BBA16F5 1 0.0000 0.8176 1.000 0.000 0.000 0.000
#> 54ACCFD9-A8D6-4E4C-9097-1A0BE258AA1B 1 0.4877 0.3731 0.592 0.000 0.408 0.000
#> 9EE67DE9-9B56-4773-8F6A-1036D31F568E 2 0.4866 0.4167 0.404 0.596 0.000 0.000
#> 1B1C9301-D6D6-4F6B-80A3-3603013AA951 2 0.4855 0.4253 0.400 0.600 0.000 0.000
#> DDDCDF00-FB0A-477B-891B-2EE5E0C8F61E 3 0.0000 0.9427 0.000 0.000 1.000 0.000
#> 34A3260D-AC4D-416F-ADF0-24013048BC46 1 0.2589 0.7347 0.884 0.116 0.000 0.000
#> 671C1840-9C1B-4AC1-9564-78802489F763 3 0.0000 0.9427 0.000 0.000 1.000 0.000
#> BA4F7841-9FC3-4CE6-ACA5-43FC36641640 1 0.3172 0.7251 0.840 0.000 0.160 0.000
#> 24A02CE5-28E7-457E-8B90-4EACA528B072 3 0.4898 0.1925 0.416 0.000 0.584 0.000
#> C7008665-F6DE-48B4-A0E7-6C388B72C609 2 0.0000 0.8989 0.000 1.000 0.000 0.000
#> 50F984AB-95C1-4D7B-A787-418CBB59D165 1 0.0000 0.8176 1.000 0.000 0.000 0.000
#> 5FFD2A6A-ED8A-44A9-9FC1-3106341C284A 4 0.0000 0.9593 0.000 0.000 0.000 1.000
#> 7481630E-5CBA-4A4A-A16F-E327BCEE11D3 1 0.0000 0.8176 1.000 0.000 0.000 0.000
#> 7B3E6643-C148-4266-A3A3-80BAB713DD3E 2 0.0000 0.8989 0.000 1.000 0.000 0.000
#> BA8564FA-8D4D-4B2F-A178-63209F887A05 3 0.0000 0.9427 0.000 0.000 1.000 0.000
#> 2FB578F6-E8B7-434D-9720-D448A26C1EFD 1 0.4866 0.3822 0.596 0.000 0.404 0.000
#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 1 0.4790 0.2756 0.620 0.380 0.000 0.000
#> 740FCE46-8A4A-4A6A-B79F-78A63D28E313 4 0.0000 0.9593 0.000 0.000 0.000 1.000
#> 523A5832-0C42-44A4-A58F-7011C3A567DC 3 0.0000 0.9427 0.000 0.000 1.000 0.000
#> A2C68C81-7371-4E0C-BFD1-EA868A7C9499 1 0.4730 0.3165 0.636 0.364 0.000 0.000
#> 2EB7025A-D932-4238-BD60-609B25150029 4 0.0000 0.9593 0.000 0.000 0.000 1.000
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 4 0.0000 0.9593 0.000 0.000 0.000 1.000
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 4 0.0000 0.9593 0.000 0.000 0.000 1.000
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 2 0.0000 0.8989 0.000 1.000 0.000 0.000
#> F081EA01-ED14-491B-9620-BF8F10A7431D 4 0.0000 0.9593 0.000 0.000 0.000 1.000
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 1 0.4761 0.2956 0.628 0.372 0.000 0.000
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 1 0.0000 0.8176 1.000 0.000 0.000 0.000
#> B54639CE-F721-4908-B758-309F148AD3C2 4 0.0000 0.9593 0.000 0.000 0.000 1.000
#> EB4294E1-3FBC-495C-A041-829A654B59C5 3 0.0000 0.9427 0.000 0.000 1.000 0.000
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 1 0.0000 0.8176 1.000 0.000 0.000 0.000
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.4454 0.4962 0.000 0.692 0.000 0.308
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 1 0.4898 0.3560 0.584 0.000 0.416 0.000
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.0000 0.8989 0.000 1.000 0.000 0.000
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 1 0.3569 0.6925 0.804 0.000 0.196 0.000
#> D34036E4-1122-42AE-B20F-F4C8515872A0 4 0.0000 0.9593 0.000 0.000 0.000 1.000
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 1 0.0000 0.8176 1.000 0.000 0.000 0.000
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 4 0.0000 0.9593 0.000 0.000 0.000 1.000
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 3 0.0000 0.9427 0.000 0.000 1.000 0.000
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.0000 0.8989 0.000 1.000 0.000 0.000
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.0000 0.8989 0.000 1.000 0.000 0.000
#> F3C13430-405E-432E-8F3E-0DD18E86087E 4 0.0188 0.9560 0.000 0.004 0.000 0.996
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.3801 0.6938 0.000 0.780 0.000 0.220
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 1 0.3074 0.7316 0.848 0.000 0.152 0.000
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.1557 0.8621 0.056 0.944 0.000 0.000
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.0000 0.8989 0.000 1.000 0.000 0.000
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 4 0.0000 0.9593 0.000 0.000 0.000 1.000
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.0188 0.8965 0.000 0.996 0.000 0.004
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.3610 0.6886 0.800 0.000 0.200 0.000
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 4 0.0000 0.9593 0.000 0.000 0.000 1.000
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 3 0.4776 0.3324 0.376 0.000 0.624 0.000
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.0921 0.8801 0.000 0.972 0.000 0.028
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.0000 0.9427 0.000 0.000 1.000 0.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.0000 0.9427 0.000 0.000 1.000 0.000
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 4 0.0000 0.9593 0.000 0.000 0.000 1.000
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 1 0.0000 0.8176 1.000 0.000 0.000 0.000
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 1 0.0000 0.8176 1.000 0.000 0.000 0.000
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 1 0.0000 0.8176 1.000 0.000 0.000 0.000
#> 343F031B-0095-429D-8212-AD0581DBB05B 2 0.0000 0.8989 0.000 1.000 0.000 0.000
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 4 0.0000 0.9593 0.000 0.000 0.000 1.000
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.4866 0.3822 0.596 0.000 0.404 0.000
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 2 0.0000 0.8989 0.000 1.000 0.000 0.000
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 4 0.0000 0.9593 0.000 0.000 0.000 1.000
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 1 0.0000 0.8176 1.000 0.000 0.000 0.000
#> F9F33C38-A087-49FF-B994-3C9EE264F448 1 0.0000 0.8176 1.000 0.000 0.000 0.000
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.4992 0.2194 0.476 0.524 0.000 0.000
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.0000 0.8989 0.000 1.000 0.000 0.000
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.0000 0.9427 0.000 0.000 1.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.4866 0.3822 0.596 0.000 0.404 0.000
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.0000 0.9427 0.000 0.000 1.000 0.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 4 0.4933 0.2480 0.000 0.432 0.000 0.568
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.0000 0.9427 0.000 0.000 1.000 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.0000 0.8989 0.000 1.000 0.000 0.000
#> FC7821F4-6495-4545-A22A-764BB99B3F79 1 0.4866 0.3822 0.596 0.000 0.404 0.000
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 4 0.0000 0.9593 0.000 0.000 0.000 1.000
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 1 0.0000 0.8176 1.000 0.000 0.000 0.000
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 4 0.2408 0.8585 0.000 0.104 0.000 0.896
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.4877 0.4073 0.408 0.592 0.000 0.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 4 0.0000 0.9593 0.000 0.000 0.000 1.000
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 4 0.3801 0.7166 0.000 0.220 0.000 0.780
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.1118 0.8782 0.036 0.964 0.000 0.000
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0000 0.9427 0.000 0.000 1.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 4 0.0000 0.9593 0.000 0.000 0.000 1.000
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 4 0.2281 0.8712 0.000 0.096 0.000 0.904
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 1 0.0000 0.8176 1.000 0.000 0.000 0.000
#> BEE081CA-8420-4314-88A0-286BB30FFD65 2 0.0524 0.8939 0.004 0.988 0.000 0.008
#> C464CD1D-4519-48E8-A18A-403F691E5702 4 0.0000 0.9593 0.000 0.000 0.000 1.000
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 3 0.0336 0.9360 0.008 0.000 0.992 0.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 4 0.0000 0.9593 0.000 0.000 0.000 1.000
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0000 0.8989 0.000 1.000 0.000 0.000
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.0000 0.8176 1.000 0.000 0.000 0.000
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 3 0.0000 0.9427 0.000 0.000 1.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.1502 0.8800 0.056 0.940 0.004 0.000 0.000
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 4 0.0932 0.8888 0.000 0.004 0.004 0.972 0.020
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 5 0.0000 0.9856 0.000 0.000 0.000 0.000 1.000
#> 91202998-760F-4421-B1C4-18639962EDDA 1 0.3838 0.8316 0.820 0.108 0.008 0.064 0.000
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 4 0.1478 0.9201 0.000 0.064 0.000 0.936 0.000
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 5 0.0000 0.9856 0.000 0.000 0.000 0.000 1.000
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 5 0.0000 0.9856 0.000 0.000 0.000 0.000 1.000
#> 54337CE9-6F12-4712-8131-4B83F3216343 4 0.2110 0.8883 0.000 0.016 0.000 0.912 0.072
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 4 0.1628 0.8841 0.000 0.008 0.000 0.936 0.056
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 5 0.0000 0.9856 0.000 0.000 0.000 0.000 1.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 4 0.1124 0.8829 0.000 0.000 0.004 0.960 0.036
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.0290 0.9850 0.008 0.000 0.992 0.000 0.000
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 5 0.0000 0.9856 0.000 0.000 0.000 0.000 1.000
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 5 0.0000 0.9856 0.000 0.000 0.000 0.000 1.000
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0290 0.9850 0.008 0.000 0.992 0.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 4 0.1478 0.9201 0.000 0.064 0.000 0.936 0.000
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.1478 0.9058 0.936 0.000 0.064 0.000 0.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 4 0.0794 0.9097 0.000 0.028 0.000 0.972 0.000
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 4 0.2763 0.7794 0.000 0.148 0.004 0.848 0.000
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.0162 0.9321 0.996 0.004 0.000 0.000 0.000
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.1768 0.8752 0.072 0.924 0.004 0.000 0.000
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 5 0.0000 0.9856 0.000 0.000 0.000 0.000 1.000
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 2 0.2813 0.8741 0.084 0.880 0.004 0.032 0.000
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 1 0.0880 0.9226 0.968 0.000 0.032 0.000 0.000
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 5 0.0000 0.9856 0.000 0.000 0.000 0.000 1.000
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 5 0.0000 0.9856 0.000 0.000 0.000 0.000 1.000
#> 1139D935-739E-4C42-BFCB-06021A85932E 5 0.0000 0.9856 0.000 0.000 0.000 0.000 1.000
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.1638 0.8761 0.064 0.932 0.004 0.000 0.000
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.0290 0.9850 0.008 0.000 0.992 0.000 0.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.0703 0.8811 0.000 0.976 0.000 0.024 0.000
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 4 0.4218 0.5433 0.000 0.008 0.000 0.660 0.332
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 2 0.1768 0.8766 0.072 0.924 0.000 0.004 0.000
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 4 0.1608 0.9183 0.000 0.072 0.000 0.928 0.000
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 4 0.1638 0.9199 0.000 0.064 0.000 0.932 0.004
#> 2846A3AC-D102-4E37-9B72-139ED727157A 5 0.0000 0.9856 0.000 0.000 0.000 0.000 1.000
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.1341 0.8696 0.000 0.944 0.000 0.056 0.000
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 1 0.2011 0.8710 0.908 0.088 0.004 0.000 0.000
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.1671 0.8988 0.924 0.000 0.076 0.000 0.000
#> 150F5B77-4848-4D68-800A-0A0236C3661F 5 0.0000 0.9856 0.000 0.000 0.000 0.000 1.000
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.0162 0.9321 0.996 0.004 0.000 0.000 0.000
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 4 0.3768 0.6986 0.000 0.008 0.004 0.760 0.228
#> A179B59A-EECC-4692-B008-5117800D7C8B 4 0.1478 0.9201 0.000 0.064 0.000 0.936 0.000
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 5 0.0451 0.9783 0.000 0.000 0.004 0.008 0.988
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 5 0.0000 0.9856 0.000 0.000 0.000 0.000 1.000
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.0963 0.8780 0.000 0.964 0.000 0.036 0.000
#> 1447B543-D3AC-41B5-878F-B382FE49421B 1 0.2806 0.8066 0.844 0.152 0.004 0.000 0.000
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 4 0.2046 0.9148 0.000 0.068 0.000 0.916 0.016
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 2 0.3661 0.6356 0.000 0.724 0.000 0.276 0.000
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.0290 0.9850 0.008 0.000 0.992 0.000 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 2 0.1768 0.8752 0.072 0.924 0.004 0.000 0.000
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 5 0.0000 0.9856 0.000 0.000 0.000 0.000 1.000
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.0000 0.9331 1.000 0.000 0.000 0.000 0.000
#> D9225689-21E0-478A-8F79-C26542938B8D 2 0.3838 0.7013 0.000 0.716 0.004 0.280 0.000
#> FC3BA46D-57F6-424C-8D62-16C441035969 5 0.3752 0.5514 0.000 0.000 0.000 0.292 0.708
#> 045CFFE6-4736-42F2-9340-C37690E47882 3 0.0290 0.9850 0.008 0.000 0.992 0.000 0.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 5 0.0000 0.9856 0.000 0.000 0.000 0.000 1.000
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 2 0.0865 0.8823 0.004 0.972 0.000 0.024 0.000
#> E94B217F-C5DC-4F42-8135-E81F338914B5 5 0.0000 0.9856 0.000 0.000 0.000 0.000 1.000
#> AE4C3956-76DF-4059-8D69-3D764F31817F 5 0.0000 0.9856 0.000 0.000 0.000 0.000 1.000
#> 33D6A38E-CD99-437B-99E0-04E72582F777 4 0.0880 0.8881 0.000 0.032 0.000 0.968 0.000
#> 8379051C-5847-42B5-AC5C-A128C166AB97 2 0.1638 0.8761 0.064 0.932 0.004 0.000 0.000
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 2 0.1768 0.8752 0.072 0.924 0.004 0.000 0.000
#> 40A16429-229E-4F40-BFC7-263554438F99 5 0.0000 0.9856 0.000 0.000 0.000 0.000 1.000
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 5 0.1430 0.9434 0.000 0.000 0.004 0.052 0.944
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#> 3975BE32-7E20-4EFC-9122-FE468544C5D9 2 0.1831 0.8737 0.076 0.920 0.004 0.000 0.000
#> 0FDC5030-92FC-44B5-AE62-6EC3EA9290BB 3 0.0290 0.9850 0.008 0.000 0.992 0.000 0.000
#> 8E3F8687-B00B-4FA9-84F2-F731B169FC45 5 0.0000 0.9856 0.000 0.000 0.000 0.000 1.000
#> 45CEDF59-BC7A-4D86-8C2D-9A91AC141D30 1 0.1671 0.8988 0.924 0.000 0.076 0.000 0.000
#> 4043BFE7-72A7-4A95-8CB2-53FDD574B7EA 5 0.0000 0.9856 0.000 0.000 0.000 0.000 1.000
#> 64D465E7-0DB8-46A1-8BF2-BBF59D23B7EB 2 0.1768 0.8752 0.072 0.924 0.004 0.000 0.000
#> 9824DFB4-0A1A-4BA4-B2DC-5348DA3D3AE6 2 0.2011 0.8680 0.088 0.908 0.004 0.000 0.000
#> 50ECFB2A-FF9D-4A8A-91CB-3902D3B670A0 2 0.1300 0.8848 0.028 0.956 0.000 0.016 0.000
#> 755D805B-B9F4-41D3-ACA7-2BB599C3D529 5 0.0000 0.9856 0.000 0.000 0.000 0.000 1.000
#> 0BA34100-8588-47B5-A962-4BD1916645B6 1 0.1671 0.8988 0.924 0.000 0.076 0.000 0.000
#> 9CE2E8D4-1AD1-4546-AD5D-D58193F79096 5 0.0609 0.9727 0.000 0.000 0.000 0.020 0.980
#> 92D7DB12-B0E0-4072-98FB-34B112E7728D 1 0.4278 0.2606 0.548 0.000 0.452 0.000 0.000
#> 79FD2101-0A9A-4EA7-A773-5EA8693138D0 4 0.1478 0.9201 0.000 0.064 0.000 0.936 0.000
#> A3A8937A-0B0B-4A68-AE68-81DA9CF7F4FB 5 0.0404 0.9779 0.000 0.000 0.000 0.012 0.988
#> 3EB3C0F8-4CBC-41A7-81E4-4D8A565441A7 2 0.1831 0.8737 0.076 0.920 0.004 0.000 0.000
#> 77EE3B54-FD7A-4ACF-879C-31667ADCCC5B 4 0.1478 0.9201 0.000 0.064 0.000 0.936 0.000
#> 327B2123-6DD8-4263-87DE-EE917E911DD4 5 0.1410 0.9415 0.000 0.000 0.000 0.060 0.940
#> 198A6AD0-79CD-40F5-A622-18AFBE78F2D2 1 0.0162 0.9321 0.996 0.004 0.000 0.000 0.000
#> EEE29DE1-F88C-4184-B499-5E86E2D252C4 1 0.1121 0.9169 0.956 0.000 0.044 0.000 0.000
#> 1E95EA22-BC41-4AAE-AFCC-F9281989A785 1 0.0324 0.9305 0.992 0.004 0.004 0.000 0.000
#> CD3AC0E4-88A9-4084-A2BE-AEE722CF6AA3 1 0.0162 0.9321 0.996 0.004 0.000 0.000 0.000
#> 8D7FABA2-764D-4795-BB04-D9E69E9792B9 1 0.1732 0.8961 0.920 0.000 0.080 0.000 0.000
#> DAC07889-EE06-46E0-B1F1-833ECC0A48A9 2 0.4294 0.0543 0.000 0.532 0.000 0.468 0.000
#> E7B555A3-567B-4A44-8225-D269E73FB50B 5 0.0000 0.9856 0.000 0.000 0.000 0.000 1.000
#> 3CC95101-C35F-4761-9D41-3C35BD55B37E 2 0.3612 0.6245 0.000 0.732 0.000 0.268 0.000
#> F62E5A69-5E81-4B2A-8CC0-F4D6E188B187 1 0.0000 0.9331 1.000 0.000 0.000 0.000 0.000
#> C650633B-A369-4657-8693-FDFBF22BD34E 1 0.3160 0.7604 0.808 0.188 0.004 0.000 0.000
#> 5E514217-F0DB-49FD-9C5D-EB22628ED297 4 0.2020 0.8666 0.000 0.000 0.000 0.900 0.100
#> 6E1DB9BF-06FE-48B1-A2D8-EF2CE7591364 2 0.1043 0.8767 0.000 0.960 0.000 0.040 0.000
#> C9581CE3-58B6-45B4-B4B7-15F555FD84A4 1 0.0162 0.9323 0.996 0.000 0.004 0.000 0.000
#> F56C26ED-9358-485B-8867-EBA1CAA4E2A7 2 0.0794 0.8804 0.000 0.972 0.000 0.028 0.000
#> 45CA3F9E-40EE-43A4-AE57-FE51D4003844 4 0.1478 0.9201 0.000 0.064 0.000 0.936 0.000
#> 47EFA063-19C1-4E1F-ACE8-68D9BAD0B995 1 0.1430 0.9063 0.944 0.000 0.004 0.052 0.000
#> 8C30EA0F-0DA1-43C7-81AE-DE825A53F114 5 0.1670 0.9341 0.000 0.000 0.052 0.012 0.936
#> 2CE7477C-DD09-4B3A-AD65-C696BE8C9B11 1 0.1671 0.8988 0.924 0.000 0.076 0.000 0.000
#> 4DECB19A-290F-4CEB-BE25-AAF9B9E2B58F 1 0.0000 0.9331 1.000 0.000 0.000 0.000 0.000
#> 3DEA9B14-DF42-43A0-AC4A-32AE7A16218D 5 0.0000 0.9856 0.000 0.000 0.000 0.000 1.000
#> 9F57D45B-C62F-44C5-AB9D-0CB54BBA16F5 2 0.1704 0.8757 0.068 0.928 0.004 0.000 0.000
#> 54ACCFD9-A8D6-4E4C-9097-1A0BE258AA1B 1 0.0000 0.9331 1.000 0.000 0.000 0.000 0.000
#> 9EE67DE9-9B56-4773-8F6A-1036D31F568E 2 0.1830 0.8660 0.000 0.924 0.008 0.068 0.000
#> 1B1C9301-D6D6-4F6B-80A3-3603013AA951 2 0.0162 0.8824 0.000 0.996 0.004 0.000 0.000
#> DDDCDF00-FB0A-477B-891B-2EE5E0C8F61E 3 0.0290 0.9850 0.008 0.000 0.992 0.000 0.000
#> 34A3260D-AC4D-416F-ADF0-24013048BC46 2 0.2450 0.8486 0.076 0.896 0.000 0.028 0.000
#> 671C1840-9C1B-4AC1-9564-78802489F763 1 0.1608 0.9010 0.928 0.000 0.072 0.000 0.000
#> BA4F7841-9FC3-4CE6-ACA5-43FC36641640 1 0.0671 0.9255 0.980 0.016 0.004 0.000 0.000
#> 24A02CE5-28E7-457E-8B90-4EACA528B072 1 0.0000 0.9331 1.000 0.000 0.000 0.000 0.000
#> C7008665-F6DE-48B4-A0E7-6C388B72C609 4 0.1478 0.9201 0.000 0.064 0.000 0.936 0.000
#> 50F984AB-95C1-4D7B-A787-418CBB59D165 1 0.3491 0.7009 0.768 0.228 0.004 0.000 0.000
#> 5FFD2A6A-ED8A-44A9-9FC1-3106341C284A 5 0.0000 0.9856 0.000 0.000 0.000 0.000 1.000
#> 7481630E-5CBA-4A4A-A16F-E327BCEE11D3 2 0.2377 0.8469 0.128 0.872 0.000 0.000 0.000
#> 7B3E6643-C148-4266-A3A3-80BAB713DD3E 4 0.1478 0.9201 0.000 0.064 0.000 0.936 0.000
#> BA8564FA-8D4D-4B2F-A178-63209F887A05 3 0.0290 0.9850 0.008 0.000 0.992 0.000 0.000
#> 2FB578F6-E8B7-434D-9720-D448A26C1EFD 1 0.0000 0.9331 1.000 0.000 0.000 0.000 0.000
#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 2 0.0794 0.8804 0.000 0.972 0.000 0.028 0.000
#> 740FCE46-8A4A-4A6A-B79F-78A63D28E313 5 0.0000 0.9856 0.000 0.000 0.000 0.000 1.000
#> 523A5832-0C42-44A4-A58F-7011C3A567DC 3 0.0290 0.9850 0.008 0.000 0.992 0.000 0.000
#> A2C68C81-7371-4E0C-BFD1-EA868A7C9499 2 0.0609 0.8818 0.000 0.980 0.000 0.020 0.000
#> 2EB7025A-D932-4238-BD60-609B25150029 5 0.0000 0.9856 0.000 0.000 0.000 0.000 1.000
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 5 0.2516 0.8244 0.000 0.000 0.000 0.140 0.860
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 5 0.0000 0.9856 0.000 0.000 0.000 0.000 1.000
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 4 0.0671 0.8974 0.000 0.016 0.004 0.980 0.000
#> F081EA01-ED14-491B-9620-BF8F10A7431D 5 0.0000 0.9856 0.000 0.000 0.000 0.000 1.000
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 2 0.0609 0.8818 0.000 0.980 0.000 0.020 0.000
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 2 0.1831 0.8737 0.076 0.920 0.004 0.000 0.000
#> B54639CE-F721-4908-B758-309F148AD3C2 5 0.0000 0.9856 0.000 0.000 0.000 0.000 1.000
#> EB4294E1-3FBC-495C-A041-829A654B59C5 3 0.0290 0.9850 0.008 0.000 0.992 0.000 0.000
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 1 0.0880 0.9174 0.968 0.032 0.000 0.000 0.000
#> EBF3DBA0-0986-4593-BB30-174F2974E918 4 0.2017 0.8824 0.000 0.008 0.000 0.912 0.080
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 1 0.0000 0.9331 1.000 0.000 0.000 0.000 0.000
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 4 0.1478 0.9201 0.000 0.064 0.000 0.936 0.000
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 1 0.0162 0.9321 0.996 0.004 0.000 0.000 0.000
#> D34036E4-1122-42AE-B20F-F4C8515872A0 5 0.0000 0.9856 0.000 0.000 0.000 0.000 1.000
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 2 0.1704 0.8757 0.068 0.928 0.004 0.000 0.000
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 5 0.1638 0.9347 0.000 0.000 0.004 0.064 0.932
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 3 0.0290 0.9850 0.008 0.000 0.992 0.000 0.000
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 4 0.1478 0.9201 0.000 0.064 0.000 0.936 0.000
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 4 0.1478 0.9201 0.000 0.064 0.000 0.936 0.000
#> F3C13430-405E-432E-8F3E-0DD18E86087E 4 0.4294 0.2210 0.000 0.000 0.000 0.532 0.468
#> 43EDF662-2507-4B61-B706-B0730F603711 4 0.1830 0.8804 0.000 0.012 0.004 0.932 0.052
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 1 0.0703 0.9224 0.976 0.024 0.000 0.000 0.000
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.0963 0.8780 0.000 0.964 0.000 0.036 0.000
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 4 0.1608 0.9183 0.000 0.072 0.000 0.928 0.000
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 5 0.1638 0.9347 0.000 0.000 0.004 0.064 0.932
#> BC833202-69AD-4BFF-8240-3097D447BBA2 4 0.1571 0.9197 0.000 0.060 0.000 0.936 0.004
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.0162 0.9321 0.996 0.004 0.000 0.000 0.000
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 5 0.0000 0.9856 0.000 0.000 0.000 0.000 1.000
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 1 0.0000 0.9331 1.000 0.000 0.000 0.000 0.000
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 4 0.1638 0.9199 0.000 0.064 0.000 0.932 0.004
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.0290 0.9850 0.008 0.000 0.992 0.000 0.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.0290 0.9850 0.008 0.000 0.992 0.000 0.000
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 5 0.0000 0.9856 0.000 0.000 0.000 0.000 1.000
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 2 0.1768 0.8752 0.072 0.924 0.004 0.000 0.000
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.1768 0.8752 0.072 0.924 0.004 0.000 0.000
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 2 0.1831 0.8737 0.076 0.920 0.004 0.000 0.000
#> 343F031B-0095-429D-8212-AD0581DBB05B 4 0.0324 0.8954 0.000 0.004 0.004 0.992 0.000
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 5 0.0000 0.9856 0.000 0.000 0.000 0.000 1.000
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.0000 0.9331 1.000 0.000 0.000 0.000 0.000
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 4 0.2046 0.9144 0.000 0.068 0.000 0.916 0.016
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 5 0.0000 0.9856 0.000 0.000 0.000 0.000 1.000
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 2 0.4341 0.3761 0.404 0.592 0.004 0.000 0.000
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.2006 0.8778 0.072 0.916 0.000 0.012 0.000
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.1282 0.8809 0.000 0.952 0.004 0.044 0.000
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.3983 0.4979 0.000 0.660 0.000 0.340 0.000
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.0290 0.9850 0.008 0.000 0.992 0.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.0000 0.9331 1.000 0.000 0.000 0.000 0.000
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.0290 0.9850 0.008 0.000 0.992 0.000 0.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 4 0.1205 0.8806 0.000 0.000 0.004 0.956 0.040
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.0290 0.9850 0.008 0.000 0.992 0.000 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 4 0.1478 0.9201 0.000 0.064 0.000 0.936 0.000
#> FC7821F4-6495-4545-A22A-764BB99B3F79 1 0.0000 0.9331 1.000 0.000 0.000 0.000 0.000
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 5 0.0000 0.9856 0.000 0.000 0.000 0.000 1.000
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.1768 0.8752 0.072 0.924 0.004 0.000 0.000
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 4 0.4341 0.3260 0.000 0.000 0.004 0.592 0.404
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.0609 0.8818 0.000 0.980 0.000 0.020 0.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 5 0.0000 0.9856 0.000 0.000 0.000 0.000 1.000
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 4 0.3816 0.6044 0.000 0.000 0.000 0.696 0.304
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.1608 0.8601 0.000 0.928 0.000 0.072 0.000
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0290 0.9850 0.008 0.000 0.992 0.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 5 0.0000 0.9856 0.000 0.000 0.000 0.000 1.000
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 4 0.2127 0.8605 0.000 0.000 0.000 0.892 0.108
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 1 0.2338 0.8486 0.884 0.112 0.004 0.000 0.000
#> BEE081CA-8420-4314-88A0-286BB30FFD65 4 0.3508 0.6875 0.000 0.252 0.000 0.748 0.000
#> C464CD1D-4519-48E8-A18A-403F691E5702 5 0.1430 0.9434 0.000 0.000 0.004 0.052 0.944
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.1410 0.9083 0.940 0.000 0.060 0.000 0.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 5 0.0000 0.9856 0.000 0.000 0.000 0.000 1.000
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.3452 0.6848 0.000 0.756 0.000 0.244 0.000
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.0324 0.9305 0.992 0.004 0.004 0.000 0.000
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.1671 0.8988 0.924 0.000 0.076 0.000 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 6 0.1765 0.68638 0.000 0.000 0.000 0.096 0.000 0.904
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 4 0.3765 0.22239 0.000 0.404 0.000 0.596 0.000 0.000
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 5 0.0000 0.93004 0.000 0.000 0.000 0.000 1.000 0.000
#> 91202998-760F-4421-B1C4-18639962EDDA 4 0.0000 0.50227 0.000 0.000 0.000 1.000 0.000 0.000
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.0000 0.82460 0.000 1.000 0.000 0.000 0.000 0.000
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 5 0.0000 0.93004 0.000 0.000 0.000 0.000 1.000 0.000
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 5 0.0000 0.93004 0.000 0.000 0.000 0.000 1.000 0.000
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.0363 0.81722 0.000 0.988 0.000 0.000 0.012 0.000
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.0909 0.80519 0.000 0.968 0.000 0.020 0.012 0.000
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 5 0.0000 0.93004 0.000 0.000 0.000 0.000 1.000 0.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 4 0.3833 0.14523 0.000 0.444 0.000 0.556 0.000 0.000
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.0000 0.96832 0.000 0.000 1.000 0.000 0.000 0.000
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 5 0.0000 0.93004 0.000 0.000 0.000 0.000 1.000 0.000
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 5 0.0000 0.93004 0.000 0.000 0.000 0.000 1.000 0.000
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0000 0.96832 0.000 0.000 1.000 0.000 0.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.0000 0.82460 0.000 1.000 0.000 0.000 0.000 0.000
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.0000 0.92692 1.000 0.000 0.000 0.000 0.000 0.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 2 0.2003 0.72223 0.000 0.884 0.000 0.116 0.000 0.000
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 4 0.1462 0.52054 0.000 0.056 0.000 0.936 0.000 0.008
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.0000 0.92692 1.000 0.000 0.000 0.000 0.000 0.000
#> D7A50E95-777C-47A6-8F93-031CB4770633 6 0.3717 0.58015 0.000 0.000 0.000 0.384 0.000 0.616
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#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 1 0.0146 0.92657 0.996 0.000 0.000 0.004 0.000 0.000
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.0000 0.82460 0.000 1.000 0.000 0.000 0.000 0.000
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.0000 0.96832 0.000 0.000 1.000 0.000 0.000 0.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.0000 0.96832 0.000 0.000 1.000 0.000 0.000 0.000
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 5 0.0000 0.93004 0.000 0.000 0.000 0.000 1.000 0.000
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 6 0.1814 0.68544 0.000 0.000 0.000 0.100 0.000 0.900
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 6 0.2416 0.66939 0.000 0.000 0.000 0.156 0.000 0.844
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 6 0.3907 0.55750 0.004 0.000 0.000 0.408 0.000 0.588
#> 343F031B-0095-429D-8212-AD0581DBB05B 4 0.3737 0.23946 0.000 0.392 0.000 0.608 0.000 0.000
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 5 0.0000 0.93004 0.000 0.000 0.000 0.000 1.000 0.000
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.0146 0.92657 0.996 0.000 0.000 0.004 0.000 0.000
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 2 0.0260 0.82002 0.000 0.992 0.000 0.008 0.000 0.000
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 5 0.0000 0.93004 0.000 0.000 0.000 0.000 1.000 0.000
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 6 0.5381 0.38190 0.296 0.000 0.000 0.144 0.000 0.560
#> F9F33C38-A087-49FF-B994-3C9EE264F448 6 0.0000 0.69897 0.000 0.000 0.000 0.000 0.000 1.000
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 6 0.2006 0.64007 0.000 0.004 0.000 0.104 0.000 0.892
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.3989 0.17355 0.000 0.528 0.000 0.004 0.000 0.468
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.0000 0.96832 0.000 0.000 1.000 0.000 0.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.0000 0.92692 1.000 0.000 0.000 0.000 0.000 0.000
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.0000 0.96832 0.000 0.000 1.000 0.000 0.000 0.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 4 0.3782 0.20787 0.000 0.412 0.000 0.588 0.000 0.000
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.0000 0.96832 0.000 0.000 1.000 0.000 0.000 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.0000 0.82460 0.000 1.000 0.000 0.000 0.000 0.000
#> FC7821F4-6495-4545-A22A-764BB99B3F79 1 0.0146 0.92657 0.996 0.000 0.000 0.004 0.000 0.000
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 5 0.0000 0.93004 0.000 0.000 0.000 0.000 1.000 0.000
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 6 0.3765 0.56474 0.000 0.000 0.000 0.404 0.000 0.596
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 4 0.5270 0.37449 0.000 0.144 0.000 0.588 0.268 0.000
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 6 0.1265 0.69797 0.000 0.008 0.000 0.044 0.000 0.948
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 5 0.0000 0.93004 0.000 0.000 0.000 0.000 1.000 0.000
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 2 0.5672 0.15623 0.000 0.528 0.000 0.260 0.212 0.000
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 6 0.3619 0.39946 0.000 0.316 0.000 0.004 0.000 0.680
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0000 0.96832 0.000 0.000 1.000 0.000 0.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 5 0.0000 0.93004 0.000 0.000 0.000 0.000 1.000 0.000
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.0713 0.80361 0.000 0.972 0.000 0.000 0.028 0.000
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 1 0.5629 0.10039 0.448 0.000 0.000 0.404 0.000 0.148
#> BEE081CA-8420-4314-88A0-286BB30FFD65 2 0.5087 0.16540 0.000 0.508 0.000 0.080 0.000 0.412
#> C464CD1D-4519-48E8-A18A-403F691E5702 5 0.3515 0.52316 0.000 0.000 0.000 0.324 0.676 0.000
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.0000 0.92692 1.000 0.000 0.000 0.000 0.000 0.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 5 0.0000 0.93004 0.000 0.000 0.000 0.000 1.000 0.000
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 6 0.2823 0.55960 0.000 0.204 0.000 0.000 0.000 0.796
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.1010 0.89962 0.960 0.000 0.000 0.004 0.000 0.036
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.0146 0.92569 0.996 0.000 0.004 0.000 0.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["ATC", "pam"]
# you can also extract it by
# res = res_list["ATC:pam"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#> On a matrix with 17109 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 0.936 0.951 0.977 0.4896 0.507 0.507
#> 3 3 0.826 0.865 0.945 0.2289 0.895 0.795
#> 4 4 0.727 0.843 0.932 0.0732 0.948 0.875
#> 5 5 0.722 0.706 0.834 0.1349 0.856 0.638
#> 6 6 0.862 0.845 0.933 0.0913 0.867 0.566
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
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 1 0.0000 0.9847 1.000 0.000
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 1 0.2778 0.9389 0.952 0.048
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 2 0.0000 0.9658 0.000 1.000
#> 91202998-760F-4421-B1C4-18639962EDDA 1 0.0000 0.9847 1.000 0.000
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.1414 0.9603 0.020 0.980
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 2 0.0000 0.9658 0.000 1.000
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 2 0.0000 0.9658 0.000 1.000
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.0000 0.9658 0.000 1.000
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.0000 0.9658 0.000 1.000
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.0000 0.9658 0.000 1.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 2 0.0376 0.9649 0.004 0.996
#> 784B2359-6064-4FAA-9311-7A852F061FBB 2 0.8386 0.6747 0.268 0.732
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 2 0.0000 0.9658 0.000 1.000
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 2 0.1414 0.9603 0.020 0.980
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 1 0.0000 0.9847 1.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.1414 0.9603 0.020 0.980
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.0000 0.9847 1.000 0.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 2 0.1414 0.9603 0.020 0.980
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 2 0.6148 0.8367 0.152 0.848
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.0000 0.9847 1.000 0.000
#> D7A50E95-777C-47A6-8F93-031CB4770633 1 0.0000 0.9847 1.000 0.000
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.0000 0.9658 0.000 1.000
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 1 0.0000 0.9847 1.000 0.000
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 1 0.0000 0.9847 1.000 0.000
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.0000 0.9658 0.000 1.000
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 2 0.0000 0.9658 0.000 1.000
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.0000 0.9658 0.000 1.000
#> 591C91F1-AA70-44DC-B721-0E781C333359 1 0.0000 0.9847 1.000 0.000
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 1 0.0000 0.9847 1.000 0.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 1 0.0000 0.9847 1.000 0.000
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 2 0.6148 0.8367 0.152 0.848
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 1 0.0000 0.9847 1.000 0.000
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.1414 0.9603 0.020 0.980
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.0000 0.9658 0.000 1.000
#> 2846A3AC-D102-4E37-9B72-139ED727157A 2 0.0000 0.9658 0.000 1.000
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 1 0.2236 0.9513 0.964 0.036
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 1 0.0000 0.9847 1.000 0.000
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.0000 0.9847 1.000 0.000
#> 150F5B77-4848-4D68-800A-0A0236C3661F 2 0.0000 0.9658 0.000 1.000
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.0000 0.9847 1.000 0.000
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.0000 0.9658 0.000 1.000
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.0000 0.9658 0.000 1.000
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 2 0.0000 0.9658 0.000 1.000
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 2 0.0000 0.9658 0.000 1.000
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 1 0.0000 0.9847 1.000 0.000
#> 1447B543-D3AC-41B5-878F-B382FE49421B 1 0.0000 0.9847 1.000 0.000
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 2 0.6148 0.8367 0.152 0.848
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 1 0.0000 0.9847 1.000 0.000
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 1 0.0000 0.9847 1.000 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 1 0.0000 0.9847 1.000 0.000
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 2 0.0000 0.9658 0.000 1.000
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.0000 0.9847 1.000 0.000
#> D9225689-21E0-478A-8F79-C26542938B8D 1 0.0672 0.9779 0.992 0.008
#> FC3BA46D-57F6-424C-8D62-16C441035969 2 0.0000 0.9658 0.000 1.000
#> 045CFFE6-4736-42F2-9340-C37690E47882 1 0.0000 0.9847 1.000 0.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 2 0.0000 0.9658 0.000 1.000
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 1 0.0000 0.9847 1.000 0.000
#> E94B217F-C5DC-4F42-8135-E81F338914B5 2 0.0000 0.9658 0.000 1.000
#> AE4C3956-76DF-4059-8D69-3D764F31817F 2 0.0000 0.9658 0.000 1.000
#> 33D6A38E-CD99-437B-99E0-04E72582F777 1 0.9248 0.4621 0.660 0.340
#> 8379051C-5847-42B5-AC5C-A128C166AB97 1 0.0000 0.9847 1.000 0.000
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 1 0.0000 0.9847 1.000 0.000
#> 40A16429-229E-4F40-BFC7-263554438F99 2 0.0000 0.9658 0.000 1.000
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 2 0.0000 0.9658 0.000 1.000
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 2 0.1414 0.9603 0.020 0.980
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 1 0.0000 0.9847 1.000 0.000
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 1 0.0000 0.9847 1.000 0.000
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 1 0.0000 0.9847 1.000 0.000
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 1 0.0000 0.9847 1.000 0.000
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 2 0.0000 0.9658 0.000 1.000
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 1 0.0000 0.9847 1.000 0.000
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 1 0.0000 0.9847 1.000 0.000
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 2 0.0000 0.9658 0.000 1.000
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 1 0.5059 0.8665 0.888 0.112
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 1 0.0000 0.9847 1.000 0.000
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 1 0.0000 0.9847 1.000 0.000
#> FDB47AC4-CE6A-428B-9B55-EBCEF1970ACB 2 0.0000 0.9658 0.000 1.000
#> 133B7E7B-FD50-48A2-9A35-E6D44FAB976B 2 0.0000 0.9658 0.000 1.000
#> E69E45DA-66A6-438A-9BFC-5F1F7F5C5A87 2 0.0000 0.9658 0.000 1.000
#> 6E242DF5-8B8B-4C6F-870E-C7ADFFAFDF3E 2 0.0000 0.9658 0.000 1.000
#> CB7BBFF1-4BF3-42A9-85C6-680D91503799 1 0.0000 0.9847 1.000 0.000
#> 70AA4670-C75B-4E39-8958-3F9C29811871 2 0.1414 0.9603 0.020 0.980
#> D63C5178-4FF7-4FD0-B87E-6CBF6E7BEF5B 2 0.1414 0.9603 0.020 0.980
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#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 2 0.0000 0.9658 0.000 1.000
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 1 0.0000 0.9847 1.000 0.000
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 1 0.0000 0.9847 1.000 0.000
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 1 0.0000 0.9847 1.000 0.000
#> 343F031B-0095-429D-8212-AD0581DBB05B 2 0.1414 0.9603 0.020 0.980
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 2 0.0000 0.9658 0.000 1.000
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.0000 0.9847 1.000 0.000
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 2 0.1414 0.9603 0.020 0.980
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 2 0.0000 0.9658 0.000 1.000
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 1 0.0000 0.9847 1.000 0.000
#> F9F33C38-A087-49FF-B994-3C9EE264F448 1 0.0000 0.9847 1.000 0.000
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 1 0.0000 0.9847 1.000 0.000
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 1 0.0000 0.9847 1.000 0.000
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 1 0.0000 0.9847 1.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.0000 0.9847 1.000 0.000
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 2 0.8081 0.7071 0.248 0.752
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 2 0.0000 0.9658 0.000 1.000
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 1 0.0000 0.9847 1.000 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.1414 0.9603 0.020 0.980
#> FC7821F4-6495-4545-A22A-764BB99B3F79 1 0.0000 0.9847 1.000 0.000
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.0000 0.9658 0.000 1.000
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 1 0.0000 0.9847 1.000 0.000
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.0376 0.9649 0.004 0.996
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 1 0.0000 0.9847 1.000 0.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 2 0.0000 0.9658 0.000 1.000
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 2 0.1414 0.9603 0.020 0.980
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 1 0.0376 0.9812 0.996 0.004
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 1 0.0000 0.9847 1.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 2 0.0000 0.9658 0.000 1.000
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.0000 0.9658 0.000 1.000
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 1 0.0000 0.9847 1.000 0.000
#> BEE081CA-8420-4314-88A0-286BB30FFD65 1 0.8267 0.6394 0.740 0.260
#> C464CD1D-4519-48E8-A18A-403F691E5702 2 0.1414 0.9603 0.020 0.980
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.0000 0.9847 1.000 0.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.0000 0.9658 0.000 1.000
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 1 0.0000 0.9847 1.000 0.000
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.0000 0.9847 1.000 0.000
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.0000 0.9847 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 1 0.0000 0.9126 1.000 0.000 0.000
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 1 0.4235 0.7153 0.824 0.176 0.000
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 2 0.0000 0.9505 0.000 1.000 0.000
#> 91202998-760F-4421-B1C4-18639962EDDA 1 0.0000 0.9126 1.000 0.000 0.000
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.1031 0.9402 0.024 0.976 0.000
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 2 0.0000 0.9505 0.000 1.000 0.000
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 2 0.0000 0.9505 0.000 1.000 0.000
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.0000 0.9505 0.000 1.000 0.000
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.0000 0.9505 0.000 1.000 0.000
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.0000 0.9505 0.000 1.000 0.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 2 0.0237 0.9492 0.004 0.996 0.000
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.4555 0.7123 0.200 0.000 0.800
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 2 0.0000 0.9505 0.000 1.000 0.000
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 2 0.0892 0.9430 0.020 0.980 0.000
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0000 0.9688 0.000 0.000 1.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.1031 0.9402 0.024 0.976 0.000
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.6111 0.4057 0.604 0.000 0.396
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 2 0.0892 0.9430 0.020 0.980 0.000
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 2 0.6111 0.4249 0.396 0.604 0.000
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.0000 0.9126 1.000 0.000 0.000
#> D7A50E95-777C-47A6-8F93-031CB4770633 1 0.0000 0.9126 1.000 0.000 0.000
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.0000 0.9505 0.000 1.000 0.000
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 1 0.0000 0.9126 1.000 0.000 0.000
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 1 0.6126 0.3977 0.600 0.000 0.400
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.0000 0.9505 0.000 1.000 0.000
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 2 0.0000 0.9505 0.000 1.000 0.000
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.0000 0.9505 0.000 1.000 0.000
#> 591C91F1-AA70-44DC-B721-0E781C333359 1 0.0000 0.9126 1.000 0.000 0.000
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.0000 0.9688 0.000 0.000 1.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 1 0.0000 0.9126 1.000 0.000 0.000
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 2 0.6111 0.4249 0.396 0.604 0.000
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 1 0.0000 0.9126 1.000 0.000 0.000
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.0892 0.9430 0.020 0.980 0.000
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.0000 0.9505 0.000 1.000 0.000
#> 2846A3AC-D102-4E37-9B72-139ED727157A 2 0.0000 0.9505 0.000 1.000 0.000
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 1 0.1411 0.8781 0.964 0.036 0.000
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 1 0.0000 0.9126 1.000 0.000 0.000
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.0000 0.9126 1.000 0.000 0.000
#> 150F5B77-4848-4D68-800A-0A0236C3661F 2 0.0000 0.9505 0.000 1.000 0.000
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.0892 0.8987 0.980 0.000 0.020
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.0000 0.9505 0.000 1.000 0.000
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.0000 0.9505 0.000 1.000 0.000
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 2 0.0000 0.9505 0.000 1.000 0.000
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 2 0.0000 0.9505 0.000 1.000 0.000
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 1 0.0000 0.9126 1.000 0.000 0.000
#> 1447B543-D3AC-41B5-878F-B382FE49421B 1 0.0000 0.9126 1.000 0.000 0.000
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 2 0.6126 0.4161 0.400 0.600 0.000
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 1 0.0000 0.9126 1.000 0.000 0.000
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.0000 0.9688 0.000 0.000 1.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 1 0.0000 0.9126 1.000 0.000 0.000
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 2 0.0000 0.9505 0.000 1.000 0.000
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.6126 0.3977 0.600 0.000 0.400
#> D9225689-21E0-478A-8F79-C26542938B8D 1 0.0000 0.9126 1.000 0.000 0.000
#> FC3BA46D-57F6-424C-8D62-16C441035969 2 0.0000 0.9505 0.000 1.000 0.000
#> 045CFFE6-4736-42F2-9340-C37690E47882 3 0.0000 0.9688 0.000 0.000 1.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 2 0.0000 0.9505 0.000 1.000 0.000
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 1 0.0000 0.9126 1.000 0.000 0.000
#> E94B217F-C5DC-4F42-8135-E81F338914B5 2 0.0000 0.9505 0.000 1.000 0.000
#> AE4C3956-76DF-4059-8D69-3D764F31817F 2 0.0000 0.9505 0.000 1.000 0.000
#> 33D6A38E-CD99-437B-99E0-04E72582F777 1 0.5835 0.4240 0.660 0.340 0.000
#> 8379051C-5847-42B5-AC5C-A128C166AB97 1 0.0000 0.9126 1.000 0.000 0.000
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 1 0.0000 0.9126 1.000 0.000 0.000
#> 40A16429-229E-4F40-BFC7-263554438F99 2 0.0000 0.9505 0.000 1.000 0.000
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 2 0.0000 0.9505 0.000 1.000 0.000
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 2 0.0892 0.9430 0.020 0.980 0.000
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 1 0.0000 0.9126 1.000 0.000 0.000
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 1 0.0000 0.9126 1.000 0.000 0.000
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 1 0.0000 0.9126 1.000 0.000 0.000
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 1 0.0000 0.9126 1.000 0.000 0.000
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 2 0.0000 0.9505 0.000 1.000 0.000
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 1 0.0000 0.9126 1.000 0.000 0.000
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 1 0.0000 0.9126 1.000 0.000 0.000
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 2 0.0000 0.9505 0.000 1.000 0.000
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 1 0.3116 0.7937 0.892 0.108 0.000
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 1 0.0000 0.9126 1.000 0.000 0.000
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 1 0.0000 0.9126 1.000 0.000 0.000
#> FDB47AC4-CE6A-428B-9B55-EBCEF1970ACB 2 0.0000 0.9505 0.000 1.000 0.000
#> 133B7E7B-FD50-48A2-9A35-E6D44FAB976B 2 0.0000 0.9505 0.000 1.000 0.000
#> E69E45DA-66A6-438A-9BFC-5F1F7F5C5A87 2 0.0000 0.9505 0.000 1.000 0.000
#> 6E242DF5-8B8B-4C6F-870E-C7ADFFAFDF3E 2 0.0000 0.9505 0.000 1.000 0.000
#> CB7BBFF1-4BF3-42A9-85C6-680D91503799 1 0.0000 0.9126 1.000 0.000 0.000
#> 70AA4670-C75B-4E39-8958-3F9C29811871 2 0.0892 0.9430 0.020 0.980 0.000
#> D63C5178-4FF7-4FD0-B87E-6CBF6E7BEF5B 2 0.1031 0.9402 0.024 0.976 0.000
#> 814391F8-C5B9-43F6-A330-A6749BB8F16E 1 0.0000 0.9126 1.000 0.000 0.000
#> 146ED7EA-BF3C-4BAB-B33C-0A668AB13C80 2 0.0892 0.9430 0.020 0.980 0.000
#> FD5CAFE8-E669-406A-A505-A47DCDC32E93 2 0.0000 0.9505 0.000 1.000 0.000
#> 4B3C7910-A652-45B5-8218-9002EB0FD9EB 2 0.0000 0.9505 0.000 1.000 0.000
#> E410F77D-E31F-4D73-ACAC-9245935A92F5 2 0.0000 0.9505 0.000 1.000 0.000
#> 64336403-9037-480C-873A-67BC77119FA5 1 0.3619 0.7569 0.864 0.136 0.000
#> 6F9D5013-3B1B-41EE-85DB-E51F5D828DEF 2 0.0892 0.9430 0.020 0.980 0.000
#> 155AEBBD-1C12-4F88-90C7-1C7FF7E3FB2C 2 0.0892 0.9430 0.020 0.980 0.000
#> D28DDCAA-682C-451F-8327-D2C2AFB044E2 2 0.0000 0.9505 0.000 1.000 0.000
#> 171523DC-2713-4EBF-A115-53A0BA174545 3 0.0000 0.9688 0.000 0.000 1.000
#> FD223304-87BA-4462-A5E5-01AB8C018C35 1 0.1411 0.8864 0.964 0.000 0.036
#> D8E06D8A-9063-4466-A3B0-7724F4737C7A 2 0.6126 0.4161 0.400 0.600 0.000
#> FFA5FFF7-6301-4CD8-8E63-A4D8294D1B0E 2 0.0000 0.9505 0.000 1.000 0.000
#> AF3648D6-C774-48CC-9428-ADC00402A562 3 0.0000 0.9688 0.000 0.000 1.000
#> BD406B65-B715-444E-95B4-F38D05BAC863 1 0.1643 0.8799 0.956 0.000 0.044
#> 6DB67CA1-0BEB-4585-9867-40E7C8A96D55 1 0.6204 0.1738 0.576 0.424 0.000
#> 49C9DE1D-784D-405A-9DD3-C4D2890D0309 1 0.0000 0.9126 1.000 0.000 0.000
#> 05EC4D30-D34E-4497-B4F4-80AEDC2E70DF 3 0.2796 0.8721 0.092 0.000 0.908
#> CB69E76B-7CD3-49EF-9ADF-75701FE1D0A8 2 0.0000 0.9505 0.000 1.000 0.000
#> 103C6E25-A69A-460E-81C0-7437547E1334 1 0.0000 0.9126 1.000 0.000 0.000
#> 2D986DB0-B5A8-42E8-ACB8-926A16FAABD6 2 0.0000 0.9505 0.000 1.000 0.000
#> 1B9A0F24-8A3F-4693-B09C-5F0EFE5A32A5 1 0.0000 0.9126 1.000 0.000 0.000
#> C064D1FE-753E-4493-907C-C5FFE19F9875 1 0.0000 0.9126 1.000 0.000 0.000
#> 71596860-AEFA-4B94-8ADE-AC33CEA24DD4 1 0.0000 0.9126 1.000 0.000 0.000
#> E9A3A454-AB4D-4683-B276-84DA43792DBB 2 0.0000 0.9505 0.000 1.000 0.000
#> C5717869-8413-4810-A042-32E949AD3B0A 1 0.0000 0.9126 1.000 0.000 0.000
#> F36B393E-859C-49F8-BDF4-ED2CEF4C6307 2 0.1411 0.9299 0.036 0.964 0.000
#> 4CC9D3F9-983F-4CB2-91F1-0FBB86D53DC3 1 0.0000 0.9126 1.000 0.000 0.000
#> D450F074-CA68-49CE-B0B3-F81A91D54867 1 0.0000 0.9126 1.000 0.000 0.000
#> 2BBD504E-FE90-4142-9204-0E33B6B56C7E 2 0.0000 0.9505 0.000 1.000 0.000
#> 1A457CBF-24DA-44F1-B9ED-F26B8D1245D4 1 0.0000 0.9126 1.000 0.000 0.000
#> F29B5A39-866E-4C9D-BC26-B726FEA5F576 1 0.0000 0.9126 1.000 0.000 0.000
#> 89A4972A-8C91-4272-96BE-BCA9BC447780 1 0.0000 0.9126 1.000 0.000 0.000
#> 70B014FD-A0D0-418C-B55F-D09BAE213D52 1 0.0000 0.9126 1.000 0.000 0.000
#> 8139F417-0548-40B4-851F-A4E149A2E06A 1 0.0000 0.9126 1.000 0.000 0.000
#> 6E9F0021-FA91-4516-9B04-6A978034CECF 1 0.2356 0.8441 0.928 0.072 0.000
#> 49DAF1CD-8E20-433B-91A7-8C885ACB21A5 2 0.0000 0.9505 0.000 1.000 0.000
#> 093765A6-145C-47C3-B87B-4560CD632B4C 2 0.0000 0.9505 0.000 1.000 0.000
#> 90731001-45B2-4601-93F5-064BDD519A30 3 0.0000 0.9688 0.000 0.000 1.000
#> 40BCB65D-BC26-4FEF-941F-6F4A42D475EB 1 0.0000 0.9126 1.000 0.000 0.000
#> 204317C4-B927-4CAC-AADF-E16D19410ADB 2 0.0000 0.9505 0.000 1.000 0.000
#> 1023707A-D6DE-432A-AD2D-2318C3F91FA2 2 0.0000 0.9505 0.000 1.000 0.000
#> 06F79E8E-50E3-485A-82E9-C7CD4C72333B 2 0.0000 0.9505 0.000 1.000 0.000
#> BFAF5464-D239-4A03-AC34-984DEBA84451 2 0.0000 0.9505 0.000 1.000 0.000
#> 96C7C73E-F3E1-4937-A267-B7DAAD8EDE37 2 0.0000 0.9505 0.000 1.000 0.000
#> 1D94B33B-9A3F-40BA-90AF-5248ED058C6F 2 0.0000 0.9505 0.000 1.000 0.000
#> 3407B68D-0277-465B-8819-10FAE3EE6572 3 0.0000 0.9688 0.000 0.000 1.000
#> 868CD0D0-1CB4-4F61-B4ED-EB0C93DD950F 2 0.0000 0.9505 0.000 1.000 0.000
#> 823383C2-6F4D-4C0C-8640-3981A7ED1226 1 0.0000 0.9126 1.000 0.000 0.000
#> 95B76301-6382-4F6E-9E09-60EEFEEA03D5 2 0.1163 0.9368 0.028 0.972 0.000
#> 50A46A4F-883E-4DAA-BD16-FCCC5FA3FCD9 1 0.0747 0.8981 0.984 0.016 0.000
#> 5037DC80-5E81-4281-89A0-E0B58071B1D9 1 0.6126 0.3977 0.600 0.000 0.400
#> 6A228156-7365-4A4D-8E66-AA687BF37A24 1 0.5216 0.6394 0.740 0.000 0.260
#> 868C82CD-CB45-4EC9-96A8-77F0F4E0D874 2 0.0000 0.9505 0.000 1.000 0.000
#> 28F5861F-7081-4CE8-A917-941FCB6206FA 2 0.4291 0.7652 0.180 0.820 0.000
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#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 1 0.0000 0.9126 1.000 0.000 0.000
#> BEE081CA-8420-4314-88A0-286BB30FFD65 1 0.1411 0.8789 0.964 0.036 0.000
#> C464CD1D-4519-48E8-A18A-403F691E5702 2 0.0892 0.9430 0.020 0.980 0.000
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 3 0.6267 0.0609 0.452 0.000 0.548
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.0000 0.9505 0.000 1.000 0.000
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 1 0.0000 0.9126 1.000 0.000 0.000
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.0000 0.9126 1.000 0.000 0.000
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.0000 0.9126 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 1 0.0000 0.8891 1.000 0.000 0.000 0.000
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 1 0.3907 0.7245 0.768 0.232 0.000 0.000
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 4 0.0336 0.9204 0.000 0.008 0.000 0.992
#> 91202998-760F-4421-B1C4-18639962EDDA 1 0.0000 0.8891 1.000 0.000 0.000 0.000
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.0000 0.9307 0.000 1.000 0.000 0.000
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 2 0.0000 0.9307 0.000 1.000 0.000 0.000
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 2 0.3123 0.7630 0.000 0.844 0.000 0.156
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.0000 0.9307 0.000 1.000 0.000 0.000
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.0000 0.9307 0.000 1.000 0.000 0.000
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.3074 0.7685 0.000 0.848 0.000 0.152
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 2 0.0000 0.9307 0.000 1.000 0.000 0.000
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.3610 0.5947 0.200 0.000 0.800 0.000
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 4 0.0336 0.9204 0.000 0.008 0.000 0.992
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 2 0.0000 0.9307 0.000 1.000 0.000 0.000
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0000 0.9467 0.000 0.000 1.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.0000 0.9307 0.000 1.000 0.000 0.000
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.4621 0.6117 0.708 0.000 0.284 0.008
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 2 0.0000 0.9307 0.000 1.000 0.000 0.000
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 2 0.4356 0.5616 0.292 0.708 0.000 0.000
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.0336 0.8868 0.992 0.000 0.000 0.008
#> D7A50E95-777C-47A6-8F93-031CB4770633 1 0.0000 0.8891 1.000 0.000 0.000 0.000
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 4 0.0336 0.9204 0.000 0.008 0.000 0.992
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 1 0.2973 0.8053 0.856 0.144 0.000 0.000
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 1 0.4621 0.6117 0.708 0.000 0.284 0.008
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.0000 0.9307 0.000 1.000 0.000 0.000
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 4 0.0336 0.9204 0.000 0.008 0.000 0.992
#> 1139D935-739E-4C42-BFCB-06021A85932E 4 0.0336 0.9204 0.000 0.008 0.000 0.992
#> 591C91F1-AA70-44DC-B721-0E781C333359 1 0.0000 0.8891 1.000 0.000 0.000 0.000
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.0000 0.9467 0.000 0.000 1.000 0.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 1 0.3123 0.7974 0.844 0.156 0.000 0.000
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 2 0.4356 0.5616 0.292 0.708 0.000 0.000
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 1 0.0000 0.8891 1.000 0.000 0.000 0.000
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.0000 0.9307 0.000 1.000 0.000 0.000
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.0000 0.9307 0.000 1.000 0.000 0.000
#> 2846A3AC-D102-4E37-9B72-139ED727157A 4 0.3528 0.7077 0.000 0.192 0.000 0.808
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 1 0.3400 0.7700 0.820 0.180 0.000 0.000
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 1 0.0336 0.8868 0.992 0.000 0.000 0.008
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.0336 0.8868 0.992 0.000 0.000 0.008
#> 150F5B77-4848-4D68-800A-0A0236C3661F 2 0.0817 0.9121 0.000 0.976 0.000 0.024
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.1042 0.8771 0.972 0.000 0.020 0.008
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.0000 0.9307 0.000 1.000 0.000 0.000
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.0000 0.9307 0.000 1.000 0.000 0.000
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 2 0.0000 0.9307 0.000 1.000 0.000 0.000
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 2 0.0000 0.9307 0.000 1.000 0.000 0.000
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 1 0.2973 0.8053 0.856 0.144 0.000 0.000
#> 1447B543-D3AC-41B5-878F-B382FE49421B 1 0.0336 0.8868 0.992 0.000 0.000 0.008
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 2 0.4277 0.5770 0.280 0.720 0.000 0.000
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 1 0.2469 0.8310 0.892 0.108 0.000 0.000
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.0000 0.9467 0.000 0.000 1.000 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 1 0.0000 0.8891 1.000 0.000 0.000 0.000
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 4 0.0336 0.9204 0.000 0.008 0.000 0.992
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.4621 0.6117 0.708 0.000 0.284 0.008
#> D9225689-21E0-478A-8F79-C26542938B8D 1 0.3123 0.7974 0.844 0.156 0.000 0.000
#> FC3BA46D-57F6-424C-8D62-16C441035969 2 0.0000 0.9307 0.000 1.000 0.000 0.000
#> 045CFFE6-4736-42F2-9340-C37690E47882 3 0.0000 0.9467 0.000 0.000 1.000 0.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 4 0.0336 0.9204 0.000 0.008 0.000 0.992
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 1 0.2814 0.8163 0.868 0.132 0.000 0.000
#> E94B217F-C5DC-4F42-8135-E81F338914B5 2 0.2973 0.7768 0.000 0.856 0.000 0.144
#> AE4C3956-76DF-4059-8D69-3D764F31817F 2 0.0000 0.9307 0.000 1.000 0.000 0.000
#> 33D6A38E-CD99-437B-99E0-04E72582F777 1 0.4713 0.3962 0.640 0.360 0.000 0.000
#> 8379051C-5847-42B5-AC5C-A128C166AB97 1 0.0000 0.8891 1.000 0.000 0.000 0.000
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 1 0.0000 0.8891 1.000 0.000 0.000 0.000
#> 40A16429-229E-4F40-BFC7-263554438F99 2 0.0000 0.9307 0.000 1.000 0.000 0.000
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 2 0.0000 0.9307 0.000 1.000 0.000 0.000
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 2 0.0000 0.9307 0.000 1.000 0.000 0.000
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 1 0.0000 0.8891 1.000 0.000 0.000 0.000
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 1 0.0000 0.8891 1.000 0.000 0.000 0.000
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 1 0.0000 0.8891 1.000 0.000 0.000 0.000
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 1 0.0000 0.8891 1.000 0.000 0.000 0.000
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 2 0.0000 0.9307 0.000 1.000 0.000 0.000
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 1 0.0000 0.8891 1.000 0.000 0.000 0.000
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 1 0.0000 0.8891 1.000 0.000 0.000 0.000
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 2 0.0000 0.9307 0.000 1.000 0.000 0.000
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 1 0.2469 0.8118 0.892 0.108 0.000 0.000
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 1 0.0000 0.8891 1.000 0.000 0.000 0.000
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 1 0.0000 0.8891 1.000 0.000 0.000 0.000
#> FDB47AC4-CE6A-428B-9B55-EBCEF1970ACB 2 0.3123 0.7630 0.000 0.844 0.000 0.156
#> 133B7E7B-FD50-48A2-9A35-E6D44FAB976B 2 0.0469 0.9220 0.000 0.988 0.000 0.012
#> E69E45DA-66A6-438A-9BFC-5F1F7F5C5A87 2 0.0000 0.9307 0.000 1.000 0.000 0.000
#> 6E242DF5-8B8B-4C6F-870E-C7ADFFAFDF3E 2 0.0000 0.9307 0.000 1.000 0.000 0.000
#> CB7BBFF1-4BF3-42A9-85C6-680D91503799 1 0.0000 0.8891 1.000 0.000 0.000 0.000
#> 70AA4670-C75B-4E39-8958-3F9C29811871 2 0.0000 0.9307 0.000 1.000 0.000 0.000
#> D63C5178-4FF7-4FD0-B87E-6CBF6E7BEF5B 2 0.0000 0.9307 0.000 1.000 0.000 0.000
#> 814391F8-C5B9-43F6-A330-A6749BB8F16E 1 0.3123 0.7974 0.844 0.156 0.000 0.000
#> 146ED7EA-BF3C-4BAB-B33C-0A668AB13C80 2 0.0000 0.9307 0.000 1.000 0.000 0.000
#> FD5CAFE8-E669-406A-A505-A47DCDC32E93 2 0.0000 0.9307 0.000 1.000 0.000 0.000
#> 4B3C7910-A652-45B5-8218-9002EB0FD9EB 2 0.0000 0.9307 0.000 1.000 0.000 0.000
#> E410F77D-E31F-4D73-ACAC-9245935A92F5 4 0.0336 0.9204 0.000 0.008 0.000 0.992
#> 64336403-9037-480C-873A-67BC77119FA5 1 0.4277 0.6284 0.720 0.280 0.000 0.000
#> 6F9D5013-3B1B-41EE-85DB-E51F5D828DEF 2 0.0000 0.9307 0.000 1.000 0.000 0.000
#> 155AEBBD-1C12-4F88-90C7-1C7FF7E3FB2C 2 0.0000 0.9307 0.000 1.000 0.000 0.000
#> D28DDCAA-682C-451F-8327-D2C2AFB044E2 2 0.0000 0.9307 0.000 1.000 0.000 0.000
#> 171523DC-2713-4EBF-A115-53A0BA174545 3 0.0000 0.9467 0.000 0.000 1.000 0.000
#> FD223304-87BA-4462-A5E5-01AB8C018C35 1 0.1452 0.8675 0.956 0.000 0.036 0.008
#> D8E06D8A-9063-4466-A3B0-7724F4737C7A 2 0.4585 0.5071 0.332 0.668 0.000 0.000
#> FFA5FFF7-6301-4CD8-8E63-A4D8294D1B0E 4 0.0336 0.9204 0.000 0.008 0.000 0.992
#> AF3648D6-C774-48CC-9428-ADC00402A562 3 0.0000 0.9467 0.000 0.000 1.000 0.000
#> BD406B65-B715-444E-95B4-F38D05BAC863 1 0.1635 0.8622 0.948 0.000 0.044 0.008
#> 6DB67CA1-0BEB-4585-9867-40E7C8A96D55 2 0.4961 0.1854 0.448 0.552 0.000 0.000
#> 49C9DE1D-784D-405A-9DD3-C4D2890D0309 1 0.0336 0.8868 0.992 0.000 0.000 0.008
#> 05EC4D30-D34E-4497-B4F4-80AEDC2E70DF 3 0.2799 0.7795 0.108 0.000 0.884 0.008
#> CB69E76B-7CD3-49EF-9ADF-75701FE1D0A8 2 0.0000 0.9307 0.000 1.000 0.000 0.000
#> 103C6E25-A69A-460E-81C0-7437547E1334 1 0.0000 0.8891 1.000 0.000 0.000 0.000
#> 2D986DB0-B5A8-42E8-ACB8-926A16FAABD6 2 0.0000 0.9307 0.000 1.000 0.000 0.000
#> 1B9A0F24-8A3F-4693-B09C-5F0EFE5A32A5 1 0.0000 0.8891 1.000 0.000 0.000 0.000
#> C064D1FE-753E-4493-907C-C5FFE19F9875 1 0.3024 0.8028 0.852 0.148 0.000 0.000
#> 71596860-AEFA-4B94-8ADE-AC33CEA24DD4 1 0.0000 0.8891 1.000 0.000 0.000 0.000
#> E9A3A454-AB4D-4683-B276-84DA43792DBB 2 0.0000 0.9307 0.000 1.000 0.000 0.000
#> C5717869-8413-4810-A042-32E949AD3B0A 1 0.0000 0.8891 1.000 0.000 0.000 0.000
#> F36B393E-859C-49F8-BDF4-ED2CEF4C6307 2 0.0592 0.9171 0.016 0.984 0.000 0.000
#> 4CC9D3F9-983F-4CB2-91F1-0FBB86D53DC3 1 0.0000 0.8891 1.000 0.000 0.000 0.000
#> D450F074-CA68-49CE-B0B3-F81A91D54867 1 0.0000 0.8891 1.000 0.000 0.000 0.000
#> 2BBD504E-FE90-4142-9204-0E33B6B56C7E 2 0.0000 0.9307 0.000 1.000 0.000 0.000
#> 1A457CBF-24DA-44F1-B9ED-F26B8D1245D4 1 0.0188 0.8879 0.996 0.004 0.000 0.000
#> F29B5A39-866E-4C9D-BC26-B726FEA5F576 1 0.0000 0.8891 1.000 0.000 0.000 0.000
#> 89A4972A-8C91-4272-96BE-BCA9BC447780 1 0.0000 0.8891 1.000 0.000 0.000 0.000
#> 70B014FD-A0D0-418C-B55F-D09BAE213D52 1 0.2973 0.8053 0.856 0.144 0.000 0.000
#> 8139F417-0548-40B4-851F-A4E149A2E06A 1 0.0000 0.8891 1.000 0.000 0.000 0.000
#> 6E9F0021-FA91-4516-9B04-6A978034CECF 1 0.1302 0.8683 0.956 0.044 0.000 0.000
#> 49DAF1CD-8E20-433B-91A7-8C885ACB21A5 4 0.0336 0.9204 0.000 0.008 0.000 0.992
#> 093765A6-145C-47C3-B87B-4560CD632B4C 2 0.0000 0.9307 0.000 1.000 0.000 0.000
#> 90731001-45B2-4601-93F5-064BDD519A30 3 0.0000 0.9467 0.000 0.000 1.000 0.000
#> 40BCB65D-BC26-4FEF-941F-6F4A42D475EB 1 0.3123 0.7974 0.844 0.156 0.000 0.000
#> 204317C4-B927-4CAC-AADF-E16D19410ADB 2 0.0000 0.9307 0.000 1.000 0.000 0.000
#> 1023707A-D6DE-432A-AD2D-2318C3F91FA2 2 0.0000 0.9307 0.000 1.000 0.000 0.000
#> 06F79E8E-50E3-485A-82E9-C7CD4C72333B 2 0.0000 0.9307 0.000 1.000 0.000 0.000
#> BFAF5464-D239-4A03-AC34-984DEBA84451 2 0.0000 0.9307 0.000 1.000 0.000 0.000
#> 96C7C73E-F3E1-4937-A267-B7DAAD8EDE37 2 0.0000 0.9307 0.000 1.000 0.000 0.000
#> 1D94B33B-9A3F-40BA-90AF-5248ED058C6F 2 0.0000 0.9307 0.000 1.000 0.000 0.000
#> 3407B68D-0277-465B-8819-10FAE3EE6572 3 0.0000 0.9467 0.000 0.000 1.000 0.000
#> 868CD0D0-1CB4-4F61-B4ED-EB0C93DD950F 2 0.0000 0.9307 0.000 1.000 0.000 0.000
#> 823383C2-6F4D-4C0C-8640-3981A7ED1226 1 0.0336 0.8868 0.992 0.000 0.000 0.008
#> 95B76301-6382-4F6E-9E09-60EEFEEA03D5 2 0.0469 0.9206 0.012 0.988 0.000 0.000
#> 50A46A4F-883E-4DAA-BD16-FCCC5FA3FCD9 1 0.3311 0.7815 0.828 0.172 0.000 0.000
#> 5037DC80-5E81-4281-89A0-E0B58071B1D9 1 0.4621 0.6117 0.708 0.000 0.284 0.008
#> 6A228156-7365-4A4D-8E66-AA687BF37A24 1 0.4194 0.6869 0.764 0.000 0.228 0.008
#> 868C82CD-CB45-4EC9-96A8-77F0F4E0D874 2 0.0000 0.9307 0.000 1.000 0.000 0.000
#> 28F5861F-7081-4CE8-A917-941FCB6206FA 2 0.2814 0.7862 0.132 0.868 0.000 0.000
#> 1ED41271-3AA4-43F1-B43C-0D5C4F918FB8 2 0.4277 0.5770 0.280 0.720 0.000 0.000
#> 5A879DD8-EB7F-4EB6-9A9A-6D62438D8B95 2 0.0188 0.9274 0.004 0.996 0.000 0.000
#> 8B55B4E4-9222-4F69-AD4A-A92AC948F05E 1 0.1792 0.8558 0.932 0.068 0.000 0.000
#> 1DCE9448-495E-46D3-8953-D733BD68DFE6 1 0.0000 0.8891 1.000 0.000 0.000 0.000
#> C922BF2A-2A98-47CC-9127-1C1A2E38A6B6 1 0.4621 0.6117 0.708 0.000 0.284 0.008
#> 3C14A318-E9ED-4383-9F57-E227D478B450 1 0.0188 0.8879 0.996 0.004 0.000 0.000
#> 183B0920-7505-4B65-A940-97021F11DDC1 1 0.0000 0.8891 1.000 0.000 0.000 0.000
#> CF8B38D4-717B-4F8A-8DA4-8B721E6DFB1C 1 0.2973 0.8053 0.856 0.144 0.000 0.000
#> 0C7BEFDE-507E-43B2-938D-5695FE462875 4 0.0336 0.9204 0.000 0.008 0.000 0.992
#> 940D45CC-1300-4E92-A79A-6EDC8118E9E2 1 0.0188 0.8880 0.996 0.000 0.000 0.004
#> 772D02BF-D8A6-4C99-8C82-5902DEB3A067 2 0.0000 0.9307 0.000 1.000 0.000 0.000
#> F5D71464-EFD6-4922-9BC9-2620A90DA6F4 4 0.0336 0.9204 0.000 0.008 0.000 0.992
#> 7C8BDCBF-68D3-4E03-B2D3-31D12CE2784D 1 0.0000 0.8891 1.000 0.000 0.000 0.000
#> 9DF2F46F-A133-4892-B895-3102F7ACA5DB 3 0.0000 0.9467 0.000 0.000 1.000 0.000
#> 8A7A65FE-1A7E-42E5-8A5A-55E7733521DA 2 0.0000 0.9307 0.000 1.000 0.000 0.000
#> 40566B4F-12CE-4FB2-9A64-4C59EC0793F2 3 0.0000 0.9467 0.000 0.000 1.000 0.000
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#> A7604E8E-148A-4429-A5D2-DDB474279CBB 1 0.0000 0.8891 1.000 0.000 0.000 0.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 4 0.4994 0.0960 0.000 0.480 0.000 0.520
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 2 0.0000 0.9307 0.000 1.000 0.000 0.000
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 1 0.3024 0.8023 0.852 0.148 0.000 0.000
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0000 0.9467 0.000 0.000 1.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 4 0.0336 0.9204 0.000 0.008 0.000 0.992
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.0000 0.9307 0.000 1.000 0.000 0.000
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 1 0.0336 0.8868 0.992 0.000 0.000 0.008
#> BEE081CA-8420-4314-88A0-286BB30FFD65 1 0.3444 0.7696 0.816 0.184 0.000 0.000
#> C464CD1D-4519-48E8-A18A-403F691E5702 2 0.0000 0.9307 0.000 1.000 0.000 0.000
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 3 0.5263 0.0121 0.448 0.000 0.544 0.008
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.0000 0.9307 0.000 1.000 0.000 0.000
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 1 0.3123 0.7974 0.844 0.156 0.000 0.000
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.0188 0.8880 0.996 0.000 0.000 0.004
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.0000 0.8891 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
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.0290 0.6341 0.000 0.992 0.008 0.000 0.000
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 2 0.4659 -0.0587 0.000 0.500 0.012 0.000 0.488
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 4 0.0290 0.9442 0.000 0.000 0.000 0.992 0.008
#> 91202998-760F-4421-B1C4-18639962EDDA 2 0.0510 0.6250 0.000 0.984 0.000 0.000 0.016
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 5 0.4757 0.5154 0.000 0.024 0.380 0.000 0.596
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 5 0.0000 0.8662 0.000 0.000 0.000 0.000 1.000
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 5 0.1965 0.7901 0.000 0.000 0.000 0.096 0.904
#> 54337CE9-6F12-4712-8131-4B83F3216343 5 0.0000 0.8662 0.000 0.000 0.000 0.000 1.000
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 5 0.0290 0.8649 0.000 0.000 0.008 0.000 0.992
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 5 0.1965 0.7901 0.000 0.000 0.000 0.096 0.904
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 5 0.0290 0.8654 0.000 0.008 0.000 0.000 0.992
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.5260 0.8308 0.348 0.060 0.592 0.000 0.000
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 4 0.0290 0.9442 0.000 0.000 0.000 0.992 0.008
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 5 0.0290 0.8654 0.000 0.008 0.000 0.000 0.992
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.4367 0.9125 0.372 0.000 0.620 0.008 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 5 0.4608 0.5614 0.000 0.024 0.336 0.000 0.640
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.4074 0.9269 0.636 0.364 0.000 0.000 0.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 5 0.4757 0.5154 0.000 0.024 0.380 0.000 0.596
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 2 0.5505 0.4554 0.000 0.588 0.084 0.000 0.328
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.4161 0.9156 0.608 0.392 0.000 0.000 0.000
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.0579 0.6294 0.008 0.984 0.008 0.000 0.000
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 4 0.0290 0.9442 0.000 0.000 0.000 0.992 0.008
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 2 0.4879 0.6488 0.020 0.636 0.332 0.000 0.012
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 1 0.4138 0.9202 0.616 0.384 0.000 0.000 0.000
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 5 0.0000 0.8662 0.000 0.000 0.000 0.000 1.000
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 4 0.0290 0.9442 0.000 0.000 0.000 0.992 0.008
#> 1139D935-739E-4C42-BFCB-06021A85932E 4 0.0290 0.9442 0.000 0.000 0.000 0.992 0.008
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.0579 0.6294 0.008 0.984 0.008 0.000 0.000
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.4367 0.9125 0.372 0.000 0.620 0.008 0.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.5786 0.5958 0.000 0.524 0.380 0.000 0.096
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 2 0.5434 0.4446 0.000 0.588 0.076 0.000 0.336
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 2 0.0290 0.6272 0.008 0.992 0.000 0.000 0.000
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 5 0.0671 0.8618 0.000 0.016 0.004 0.000 0.980
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 5 0.3203 0.7313 0.000 0.012 0.168 0.000 0.820
#> 2846A3AC-D102-4E37-9B72-139ED727157A 4 0.3074 0.7096 0.000 0.000 0.000 0.804 0.196
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.5700 0.6013 0.000 0.532 0.380 0.000 0.088
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 1 0.4171 0.9113 0.604 0.396 0.000 0.000 0.000
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.4101 0.9262 0.628 0.372 0.000 0.000 0.000
#> 150F5B77-4848-4D68-800A-0A0236C3661F 5 0.0703 0.8524 0.000 0.000 0.000 0.024 0.976
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.4101 0.9262 0.628 0.372 0.000 0.000 0.000
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 5 0.0000 0.8662 0.000 0.000 0.000 0.000 1.000
#> A179B59A-EECC-4692-B008-5117800D7C8B 5 0.4425 0.5959 0.000 0.024 0.296 0.000 0.680
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 5 0.0898 0.8563 0.020 0.008 0.000 0.000 0.972
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 5 0.0000 0.8662 0.000 0.000 0.000 0.000 1.000
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.4482 0.6421 0.000 0.612 0.376 0.000 0.012
#> 1447B543-D3AC-41B5-878F-B382FE49421B 2 0.4294 -0.6696 0.468 0.532 0.000 0.000 0.000
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 2 0.5900 0.5889 0.000 0.516 0.376 0.000 0.108
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 2 0.2886 0.6535 0.000 0.844 0.148 0.000 0.008
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.4367 0.9125 0.372 0.000 0.620 0.008 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 2 0.0290 0.6341 0.000 0.992 0.008 0.000 0.000
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 4 0.0290 0.9442 0.000 0.000 0.000 0.992 0.008
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.4074 0.9269 0.636 0.364 0.000 0.000 0.000
#> D9225689-21E0-478A-8F79-C26542938B8D 2 0.6153 0.5573 0.000 0.484 0.380 0.000 0.136
#> FC3BA46D-57F6-424C-8D62-16C441035969 5 0.0000 0.8662 0.000 0.000 0.000 0.000 1.000
#> 045CFFE6-4736-42F2-9340-C37690E47882 3 0.4367 0.9125 0.372 0.000 0.620 0.008 0.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 4 0.0290 0.9442 0.000 0.000 0.000 0.992 0.008
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 2 0.5744 0.5985 0.000 0.528 0.380 0.000 0.092
#> E94B217F-C5DC-4F42-8135-E81F338914B5 5 0.2077 0.8033 0.000 0.008 0.000 0.084 0.908
#> AE4C3956-76DF-4059-8D69-3D764F31817F 5 0.0000 0.8662 0.000 0.000 0.000 0.000 1.000
#> 33D6A38E-CD99-437B-99E0-04E72582F777 2 0.6582 0.1838 0.000 0.416 0.208 0.000 0.376
#> 8379051C-5847-42B5-AC5C-A128C166AB97 2 0.0290 0.6341 0.000 0.992 0.008 0.000 0.000
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 2 0.0290 0.6341 0.000 0.992 0.008 0.000 0.000
#> 40A16429-229E-4F40-BFC7-263554438F99 5 0.0000 0.8662 0.000 0.000 0.000 0.000 1.000
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 5 0.0000 0.8662 0.000 0.000 0.000 0.000 1.000
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 5 0.0290 0.8649 0.000 0.000 0.008 0.000 0.992
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 2 0.0703 0.6117 0.024 0.976 0.000 0.000 0.000
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 2 0.0566 0.6303 0.000 0.984 0.004 0.000 0.012
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.4126 0.6434 0.000 0.620 0.380 0.000 0.000
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 2 0.1544 0.6477 0.000 0.932 0.068 0.000 0.000
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 5 0.0000 0.8662 0.000 0.000 0.000 0.000 1.000
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 2 0.4114 0.6446 0.000 0.624 0.376 0.000 0.000
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.4126 0.6434 0.000 0.620 0.380 0.000 0.000
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 5 0.0000 0.8662 0.000 0.000 0.000 0.000 1.000
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 2 0.3535 0.5302 0.000 0.808 0.028 0.000 0.164
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 2 0.0510 0.6201 0.016 0.984 0.000 0.000 0.000
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 2 0.0693 0.6209 0.008 0.980 0.000 0.000 0.012
#> FDB47AC4-CE6A-428B-9B55-EBCEF1970ACB 5 0.1965 0.7901 0.000 0.000 0.000 0.096 0.904
#> 133B7E7B-FD50-48A2-9A35-E6D44FAB976B 5 0.0404 0.8602 0.000 0.000 0.000 0.012 0.988
#> E69E45DA-66A6-438A-9BFC-5F1F7F5C5A87 5 0.0290 0.8654 0.000 0.008 0.000 0.000 0.992
#> 6E242DF5-8B8B-4C6F-870E-C7ADFFAFDF3E 5 0.4624 0.5576 0.000 0.024 0.340 0.000 0.636
#> CB7BBFF1-4BF3-42A9-85C6-680D91503799 2 0.0404 0.6276 0.000 0.988 0.000 0.000 0.012
#> 70AA4670-C75B-4E39-8958-3F9C29811871 5 0.0865 0.8560 0.000 0.004 0.024 0.000 0.972
#> D63C5178-4FF7-4FD0-B87E-6CBF6E7BEF5B 5 0.4835 0.5104 0.000 0.028 0.380 0.000 0.592
#> 814391F8-C5B9-43F6-A330-A6749BB8F16E 2 0.5786 0.5958 0.000 0.524 0.380 0.000 0.096
#> 146ED7EA-BF3C-4BAB-B33C-0A668AB13C80 5 0.0451 0.8649 0.000 0.008 0.004 0.000 0.988
#> FD5CAFE8-E669-406A-A505-A47DCDC32E93 5 0.0000 0.8662 0.000 0.000 0.000 0.000 1.000
#> 4B3C7910-A652-45B5-8218-9002EB0FD9EB 5 0.0000 0.8662 0.000 0.000 0.000 0.000 1.000
#> E410F77D-E31F-4D73-ACAC-9245935A92F5 4 0.0290 0.9442 0.000 0.000 0.000 0.992 0.008
#> 64336403-9037-480C-873A-67BC77119FA5 2 0.4810 0.6471 0.000 0.712 0.204 0.000 0.084
#> 6F9D5013-3B1B-41EE-85DB-E51F5D828DEF 5 0.0290 0.8654 0.000 0.008 0.000 0.000 0.992
#> 155AEBBD-1C12-4F88-90C7-1C7FF7E3FB2C 5 0.0290 0.8654 0.000 0.008 0.000 0.000 0.992
#> D28DDCAA-682C-451F-8327-D2C2AFB044E2 5 0.4624 0.5576 0.000 0.024 0.340 0.000 0.636
#> 171523DC-2713-4EBF-A115-53A0BA174545 3 0.4367 0.9125 0.372 0.000 0.620 0.008 0.000
#> FD223304-87BA-4462-A5E5-01AB8C018C35 1 0.4171 0.9113 0.604 0.396 0.000 0.000 0.000
#> D8E06D8A-9063-4466-A3B0-7724F4737C7A 2 0.3452 0.5278 0.000 0.756 0.000 0.000 0.244
#> FFA5FFF7-6301-4CD8-8E63-A4D8294D1B0E 4 0.0290 0.9442 0.000 0.000 0.000 0.992 0.008
#> AF3648D6-C774-48CC-9428-ADC00402A562 3 0.4367 0.9125 0.372 0.000 0.620 0.008 0.000
#> BD406B65-B715-444E-95B4-F38D05BAC863 1 0.4268 0.8453 0.556 0.444 0.000 0.000 0.000
#> 6DB67CA1-0BEB-4585-9867-40E7C8A96D55 2 0.5868 0.5893 0.000 0.516 0.380 0.000 0.104
#> 49C9DE1D-784D-405A-9DD3-C4D2890D0309 1 0.4161 0.9156 0.608 0.392 0.000 0.000 0.000
#> 05EC4D30-D34E-4497-B4F4-80AEDC2E70DF 1 0.1478 0.4806 0.936 0.064 0.000 0.000 0.000
#> CB69E76B-7CD3-49EF-9ADF-75701FE1D0A8 5 0.0000 0.8662 0.000 0.000 0.000 0.000 1.000
#> 103C6E25-A69A-460E-81C0-7437547E1334 2 0.2127 0.4811 0.108 0.892 0.000 0.000 0.000
#> 2D986DB0-B5A8-42E8-ACB8-926A16FAABD6 5 0.0290 0.8649 0.000 0.000 0.008 0.000 0.992
#> 1B9A0F24-8A3F-4693-B09C-5F0EFE5A32A5 2 0.0880 0.6071 0.032 0.968 0.000 0.000 0.000
#> C064D1FE-753E-4493-907C-C5FFE19F9875 2 0.5510 0.6110 0.000 0.548 0.380 0.000 0.072
#> 71596860-AEFA-4B94-8ADE-AC33CEA24DD4 2 0.0693 0.6305 0.008 0.980 0.012 0.000 0.000
#> E9A3A454-AB4D-4683-B276-84DA43792DBB 5 0.0162 0.8660 0.000 0.004 0.000 0.000 0.996
#> C5717869-8413-4810-A042-32E949AD3B0A 2 0.1043 0.5937 0.040 0.960 0.000 0.000 0.000
#> F36B393E-859C-49F8-BDF4-ED2CEF4C6307 5 0.4886 0.5159 0.000 0.032 0.372 0.000 0.596
#> 4CC9D3F9-983F-4CB2-91F1-0FBB86D53DC3 2 0.0404 0.6349 0.000 0.988 0.012 0.000 0.000
#> D450F074-CA68-49CE-B0B3-F81A91D54867 2 0.0000 0.6327 0.000 1.000 0.000 0.000 0.000
#> 2BBD504E-FE90-4142-9204-0E33B6B56C7E 5 0.0000 0.8662 0.000 0.000 0.000 0.000 1.000
#> 1A457CBF-24DA-44F1-B9ED-F26B8D1245D4 2 0.4114 0.6446 0.000 0.624 0.376 0.000 0.000
#> F29B5A39-866E-4C9D-BC26-B726FEA5F576 2 0.0794 0.6119 0.028 0.972 0.000 0.000 0.000
#> 89A4972A-8C91-4272-96BE-BCA9BC447780 2 0.0579 0.6294 0.008 0.984 0.008 0.000 0.000
#> 70B014FD-A0D0-418C-B55F-D09BAE213D52 2 0.4494 0.6402 0.000 0.608 0.380 0.000 0.012
#> 8139F417-0548-40B4-851F-A4E149A2E06A 2 0.0955 0.6094 0.028 0.968 0.000 0.000 0.004
#> 6E9F0021-FA91-4516-9B04-6A978034CECF 2 0.4161 0.1373 0.000 0.608 0.000 0.000 0.392
#> 49DAF1CD-8E20-433B-91A7-8C885ACB21A5 4 0.0290 0.9442 0.000 0.000 0.000 0.992 0.008
#> 093765A6-145C-47C3-B87B-4560CD632B4C 5 0.1608 0.8103 0.000 0.072 0.000 0.000 0.928
#> 90731001-45B2-4601-93F5-064BDD519A30 3 0.4367 0.9125 0.372 0.000 0.620 0.008 0.000
#> 40BCB65D-BC26-4FEF-941F-6F4A42D475EB 2 0.5786 0.5958 0.000 0.524 0.380 0.000 0.096
#> 204317C4-B927-4CAC-AADF-E16D19410ADB 5 0.4639 0.5536 0.000 0.024 0.344 0.000 0.632
#> 1023707A-D6DE-432A-AD2D-2318C3F91FA2 5 0.0000 0.8662 0.000 0.000 0.000 0.000 1.000
#> 06F79E8E-50E3-485A-82E9-C7CD4C72333B 5 0.0162 0.8659 0.000 0.000 0.004 0.000 0.996
#> BFAF5464-D239-4A03-AC34-984DEBA84451 5 0.0000 0.8662 0.000 0.000 0.000 0.000 1.000
#> 96C7C73E-F3E1-4937-A267-B7DAAD8EDE37 5 0.0290 0.8649 0.000 0.000 0.008 0.000 0.992
#> 1D94B33B-9A3F-40BA-90AF-5248ED058C6F 5 0.0000 0.8662 0.000 0.000 0.000 0.000 1.000
#> 3407B68D-0277-465B-8819-10FAE3EE6572 3 0.4367 0.9125 0.372 0.000 0.620 0.008 0.000
#> 868CD0D0-1CB4-4F61-B4ED-EB0C93DD950F 5 0.0290 0.8654 0.000 0.008 0.000 0.000 0.992
#> 823383C2-6F4D-4C0C-8640-3981A7ED1226 1 0.4161 0.9156 0.608 0.392 0.000 0.000 0.000
#> 95B76301-6382-4F6E-9E09-60EEFEEA03D5 5 0.4088 0.3078 0.000 0.368 0.000 0.000 0.632
#> 50A46A4F-883E-4DAA-BD16-FCCC5FA3FCD9 2 0.4421 0.5794 0.000 0.748 0.068 0.000 0.184
#> 5037DC80-5E81-4281-89A0-E0B58071B1D9 1 0.4074 0.9269 0.636 0.364 0.000 0.000 0.000
#> 6A228156-7365-4A4D-8E66-AA687BF37A24 1 0.4101 0.9262 0.628 0.372 0.000 0.000 0.000
#> 868C82CD-CB45-4EC9-96A8-77F0F4E0D874 5 0.0000 0.8662 0.000 0.000 0.000 0.000 1.000
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#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 2 0.4161 0.3685 0.000 0.608 0.000 0.000 0.392
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 3 0.4697 0.8951 0.360 0.012 0.620 0.008 0.000
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.5828 0.5926 0.000 0.520 0.380 0.000 0.100
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 5 0.4167 0.6442 0.000 0.024 0.252 0.000 0.724
#> F3C13430-405E-432E-8F3E-0DD18E86087E 5 0.0000 0.8662 0.000 0.000 0.000 0.000 1.000
#> 43EDF662-2507-4B61-B706-B0730F603711 5 0.4465 0.5921 0.000 0.024 0.304 0.000 0.672
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 2 0.3480 0.1242 0.248 0.752 0.000 0.000 0.000
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.4494 0.6402 0.000 0.608 0.380 0.000 0.012
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 5 0.0290 0.8649 0.000 0.000 0.008 0.000 0.992
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 5 0.0000 0.8662 0.000 0.000 0.000 0.000 1.000
#> BC833202-69AD-4BFF-8240-3097D447BBA2 5 0.4654 0.5491 0.000 0.024 0.348 0.000 0.628
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.4101 0.9262 0.628 0.372 0.000 0.000 0.000
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 4 0.0290 0.9442 0.000 0.000 0.000 0.992 0.008
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 2 0.1671 0.5527 0.076 0.924 0.000 0.000 0.000
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 5 0.0290 0.8649 0.000 0.000 0.008 0.000 0.992
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.4367 0.9125 0.372 0.000 0.620 0.008 0.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.4367 0.9125 0.372 0.000 0.620 0.008 0.000
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 4 0.0290 0.9442 0.000 0.000 0.000 0.992 0.008
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 2 0.0290 0.6341 0.000 0.992 0.008 0.000 0.000
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.0693 0.6322 0.008 0.980 0.012 0.000 0.000
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 2 0.0000 0.6327 0.000 1.000 0.000 0.000 0.000
#> 343F031B-0095-429D-8212-AD0581DBB05B 5 0.3093 0.7428 0.000 0.008 0.168 0.000 0.824
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 5 0.0000 0.8662 0.000 0.000 0.000 0.000 1.000
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.3752 0.8728 0.708 0.292 0.000 0.000 0.000
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 5 0.0290 0.8654 0.000 0.008 0.000 0.000 0.992
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 5 0.0000 0.8662 0.000 0.000 0.000 0.000 1.000
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 2 0.3424 0.1082 0.240 0.760 0.000 0.000 0.000
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.1478 0.6472 0.000 0.936 0.064 0.000 0.000
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.5786 0.5958 0.000 0.524 0.380 0.000 0.096
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.4494 0.6402 0.000 0.608 0.380 0.000 0.012
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.4367 0.9125 0.372 0.000 0.620 0.008 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.4101 0.9262 0.628 0.372 0.000 0.000 0.000
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.4367 0.9125 0.372 0.000 0.620 0.008 0.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 5 0.0290 0.8649 0.000 0.000 0.008 0.000 0.992
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.4367 0.9125 0.372 0.000 0.620 0.008 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 5 0.4757 0.5154 0.000 0.024 0.380 0.000 0.596
#> FC7821F4-6495-4545-A22A-764BB99B3F79 2 0.0880 0.6071 0.032 0.968 0.000 0.000 0.000
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 4 0.4249 0.2380 0.000 0.000 0.000 0.568 0.432
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.0290 0.6341 0.000 0.992 0.008 0.000 0.000
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 5 0.0290 0.8654 0.000 0.008 0.000 0.000 0.992
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.4126 0.6434 0.000 0.620 0.380 0.000 0.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 5 0.4300 0.0517 0.000 0.000 0.000 0.476 0.524
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 5 0.0290 0.8654 0.000 0.008 0.000 0.000 0.992
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.4457 0.6435 0.000 0.620 0.368 0.000 0.012
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.4367 0.9125 0.372 0.000 0.620 0.008 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 4 0.0290 0.9442 0.000 0.000 0.000 0.992 0.008
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 5 0.0000 0.8662 0.000 0.000 0.000 0.000 1.000
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 2 0.4307 -0.7371 0.500 0.500 0.000 0.000 0.000
#> BEE081CA-8420-4314-88A0-286BB30FFD65 2 0.4884 0.6083 0.000 0.720 0.128 0.000 0.152
#> C464CD1D-4519-48E8-A18A-403F691E5702 5 0.1121 0.8422 0.000 0.044 0.000 0.000 0.956
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.2852 0.7029 0.828 0.172 0.000 0.000 0.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 5 0.0000 0.8662 0.000 0.000 0.000 0.000 1.000
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.5786 0.5958 0.000 0.524 0.380 0.000 0.096
#> A563359B-0D55-4826-9229-62A89143C1C6 2 0.3177 0.2368 0.208 0.792 0.000 0.000 0.000
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 2 0.0880 0.6071 0.032 0.968 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
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 6 0.0363 0.8690 0.000 0.012 0.000 0.000 0.000 0.988
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 5 0.4504 0.3797 0.000 0.040 0.000 0.000 0.592 0.368
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 4 0.0000 0.9424 0.000 0.000 0.000 1.000 0.000 0.000
#> 91202998-760F-4421-B1C4-18639962EDDA 6 0.0000 0.8724 0.000 0.000 0.000 0.000 0.000 1.000
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.0000 0.8998 0.000 1.000 0.000 0.000 0.000 0.000
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 5 0.0260 0.9454 0.000 0.008 0.000 0.000 0.992 0.000
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 5 0.0000 0.9446 0.000 0.000 0.000 0.000 1.000 0.000
#> 54337CE9-6F12-4712-8131-4B83F3216343 5 0.0363 0.9456 0.000 0.012 0.000 0.000 0.988 0.000
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 5 0.0547 0.9431 0.000 0.020 0.000 0.000 0.980 0.000
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 5 0.0000 0.9446 0.000 0.000 0.000 0.000 1.000 0.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 5 0.0363 0.9456 0.000 0.012 0.000 0.000 0.988 0.000
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.1267 0.9063 0.000 0.000 0.940 0.000 0.000 0.060
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 4 0.0000 0.9424 0.000 0.000 0.000 1.000 0.000 0.000
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 5 0.0547 0.9431 0.000 0.020 0.000 0.000 0.980 0.000
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0000 0.9977 0.000 0.000 1.000 0.000 0.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.1663 0.8258 0.000 0.912 0.000 0.000 0.088 0.000
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.0000 0.8969 1.000 0.000 0.000 0.000 0.000 0.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 2 0.0000 0.8998 0.000 1.000 0.000 0.000 0.000 0.000
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 6 0.2738 0.7189 0.000 0.004 0.000 0.000 0.176 0.820
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.2631 0.8103 0.820 0.000 0.000 0.000 0.000 0.180
#> D7A50E95-777C-47A6-8F93-031CB4770633 6 0.0000 0.8724 0.000 0.000 0.000 0.000 0.000 1.000
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 4 0.0000 0.9424 0.000 0.000 0.000 1.000 0.000 0.000
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 6 0.3172 0.7763 0.048 0.128 0.000 0.000 0.000 0.824
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 1 0.2631 0.8103 0.820 0.000 0.000 0.000 0.000 0.180
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 5 0.0000 0.9446 0.000 0.000 0.000 0.000 1.000 0.000
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 4 0.0000 0.9424 0.000 0.000 0.000 1.000 0.000 0.000
#> 1139D935-739E-4C42-BFCB-06021A85932E 4 0.0363 0.9335 0.000 0.000 0.000 0.988 0.012 0.000
#> 591C91F1-AA70-44DC-B721-0E781C333359 6 0.0000 0.8724 0.000 0.000 0.000 0.000 0.000 1.000
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.0000 0.9977 0.000 0.000 1.000 0.000 0.000 0.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.0363 0.8967 0.000 0.988 0.000 0.000 0.000 0.012
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 6 0.2848 0.7161 0.000 0.008 0.000 0.000 0.176 0.816
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 6 0.0000 0.8724 0.000 0.000 0.000 0.000 0.000 1.000
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 5 0.0458 0.9446 0.000 0.016 0.000 0.000 0.984 0.000
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 5 0.3789 0.2746 0.000 0.416 0.000 0.000 0.584 0.000
#> 2846A3AC-D102-4E37-9B72-139ED727157A 4 0.2883 0.6937 0.000 0.000 0.000 0.788 0.212 0.000
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.0363 0.8982 0.000 0.988 0.000 0.000 0.000 0.012
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 1 0.2664 0.8067 0.816 0.000 0.000 0.000 0.000 0.184
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.0000 0.8969 1.000 0.000 0.000 0.000 0.000 0.000
#> 150F5B77-4848-4D68-800A-0A0236C3661F 5 0.0000 0.9446 0.000 0.000 0.000 0.000 1.000 0.000
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.0458 0.8923 0.984 0.000 0.000 0.000 0.000 0.016
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 5 0.0363 0.9456 0.000 0.012 0.000 0.000 0.988 0.000
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.2883 0.6878 0.000 0.788 0.000 0.000 0.212 0.000
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 5 0.1524 0.8920 0.060 0.008 0.000 0.000 0.932 0.000
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 5 0.0000 0.9446 0.000 0.000 0.000 0.000 1.000 0.000
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 6 0.2631 0.7526 0.000 0.180 0.000 0.000 0.000 0.820
#> 1447B543-D3AC-41B5-878F-B382FE49421B 1 0.3810 0.3767 0.572 0.000 0.000 0.000 0.000 0.428
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 6 0.3862 0.4009 0.000 0.388 0.000 0.000 0.004 0.608
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 6 0.0937 0.8585 0.000 0.040 0.000 0.000 0.000 0.960
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.0000 0.9977 0.000 0.000 1.000 0.000 0.000 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 6 0.0790 0.8597 0.000 0.032 0.000 0.000 0.000 0.968
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 4 0.0000 0.9424 0.000 0.000 0.000 1.000 0.000 0.000
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.0000 0.8969 1.000 0.000 0.000 0.000 0.000 0.000
#> D9225689-21E0-478A-8F79-C26542938B8D 2 0.0000 0.8998 0.000 1.000 0.000 0.000 0.000 0.000
#> FC3BA46D-57F6-424C-8D62-16C441035969 5 0.0363 0.9456 0.000 0.012 0.000 0.000 0.988 0.000
#> 045CFFE6-4736-42F2-9340-C37690E47882 3 0.0000 0.9977 0.000 0.000 1.000 0.000 0.000 0.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 4 0.0000 0.9424 0.000 0.000 0.000 1.000 0.000 0.000
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 2 0.0000 0.8998 0.000 1.000 0.000 0.000 0.000 0.000
#> E94B217F-C5DC-4F42-8135-E81F338914B5 5 0.0000 0.9446 0.000 0.000 0.000 0.000 1.000 0.000
#> AE4C3956-76DF-4059-8D69-3D764F31817F 5 0.0000 0.9446 0.000 0.000 0.000 0.000 1.000 0.000
#> 33D6A38E-CD99-437B-99E0-04E72582F777 2 0.5395 0.3054 0.000 0.520 0.000 0.000 0.356 0.124
#> 8379051C-5847-42B5-AC5C-A128C166AB97 6 0.3774 0.2413 0.000 0.408 0.000 0.000 0.000 0.592
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 6 0.0937 0.8552 0.000 0.040 0.000 0.000 0.000 0.960
#> 40A16429-229E-4F40-BFC7-263554438F99 5 0.0000 0.9446 0.000 0.000 0.000 0.000 1.000 0.000
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 5 0.0547 0.9431 0.000 0.020 0.000 0.000 0.980 0.000
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 5 0.0547 0.9431 0.000 0.020 0.000 0.000 0.980 0.000
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 6 0.0000 0.8724 0.000 0.000 0.000 0.000 0.000 1.000
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 6 0.0000 0.8724 0.000 0.000 0.000 0.000 0.000 1.000
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.0547 0.8938 0.000 0.980 0.000 0.000 0.000 0.020
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 6 0.0000 0.8724 0.000 0.000 0.000 0.000 0.000 1.000
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 5 0.0000 0.9446 0.000 0.000 0.000 0.000 1.000 0.000
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 6 0.2597 0.7561 0.000 0.176 0.000 0.000 0.000 0.824
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.0547 0.8938 0.000 0.980 0.000 0.000 0.000 0.020
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 5 0.0000 0.9446 0.000 0.000 0.000 0.000 1.000 0.000
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 6 0.2631 0.7110 0.000 0.000 0.000 0.000 0.180 0.820
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 6 0.0000 0.8724 0.000 0.000 0.000 0.000 0.000 1.000
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 6 0.0000 0.8724 0.000 0.000 0.000 0.000 0.000 1.000
#> FDB47AC4-CE6A-428B-9B55-EBCEF1970ACB 5 0.0000 0.9446 0.000 0.000 0.000 0.000 1.000 0.000
#> 133B7E7B-FD50-48A2-9A35-E6D44FAB976B 5 0.0000 0.9446 0.000 0.000 0.000 0.000 1.000 0.000
#> E69E45DA-66A6-438A-9BFC-5F1F7F5C5A87 5 0.0363 0.9456 0.000 0.012 0.000 0.000 0.988 0.000
#> 6E242DF5-8B8B-4C6F-870E-C7ADFFAFDF3E 2 0.2003 0.7945 0.000 0.884 0.000 0.000 0.116 0.000
#> CB7BBFF1-4BF3-42A9-85C6-680D91503799 6 0.0000 0.8724 0.000 0.000 0.000 0.000 0.000 1.000
#> 70AA4670-C75B-4E39-8958-3F9C29811871 5 0.1075 0.9201 0.000 0.048 0.000 0.000 0.952 0.000
#> D63C5178-4FF7-4FD0-B87E-6CBF6E7BEF5B 2 0.0000 0.8998 0.000 1.000 0.000 0.000 0.000 0.000
#> 814391F8-C5B9-43F6-A330-A6749BB8F16E 2 0.0000 0.8998 0.000 1.000 0.000 0.000 0.000 0.000
#> 146ED7EA-BF3C-4BAB-B33C-0A668AB13C80 5 0.0865 0.9317 0.000 0.036 0.000 0.000 0.964 0.000
#> FD5CAFE8-E669-406A-A505-A47DCDC32E93 5 0.0000 0.9446 0.000 0.000 0.000 0.000 1.000 0.000
#> 4B3C7910-A652-45B5-8218-9002EB0FD9EB 5 0.0146 0.9451 0.000 0.004 0.000 0.000 0.996 0.000
#> E410F77D-E31F-4D73-ACAC-9245935A92F5 4 0.0000 0.9424 0.000 0.000 0.000 1.000 0.000 0.000
#> 64336403-9037-480C-873A-67BC77119FA5 6 0.1245 0.8580 0.000 0.032 0.000 0.000 0.016 0.952
#> 6F9D5013-3B1B-41EE-85DB-E51F5D828DEF 5 0.0547 0.9431 0.000 0.020 0.000 0.000 0.980 0.000
#> 155AEBBD-1C12-4F88-90C7-1C7FF7E3FB2C 5 0.0458 0.9445 0.000 0.016 0.000 0.000 0.984 0.000
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#> A3A8937A-0B0B-4A68-AE68-81DA9CF7F4FB 5 0.0547 0.9431 0.000 0.020 0.000 0.000 0.980 0.000
#> 3EB3C0F8-4CBC-41A7-81E4-4D8A565441A7 6 0.0000 0.8724 0.000 0.000 0.000 0.000 0.000 1.000
#> 77EE3B54-FD7A-4ACF-879C-31667ADCCC5B 2 0.0000 0.8998 0.000 1.000 0.000 0.000 0.000 0.000
#> 327B2123-6DD8-4263-87DE-EE917E911DD4 5 0.0363 0.9456 0.000 0.012 0.000 0.000 0.988 0.000
#> 198A6AD0-79CD-40F5-A622-18AFBE78F2D2 1 0.0000 0.8969 1.000 0.000 0.000 0.000 0.000 0.000
#> EEE29DE1-F88C-4184-B499-5E86E2D252C4 1 0.1501 0.8653 0.924 0.000 0.000 0.000 0.000 0.076
#> 1E95EA22-BC41-4AAE-AFCC-F9281989A785 6 0.0000 0.8724 0.000 0.000 0.000 0.000 0.000 1.000
#> CD3AC0E4-88A9-4084-A2BE-AEE722CF6AA3 1 0.1556 0.8644 0.920 0.000 0.000 0.000 0.000 0.080
#> 8D7FABA2-764D-4795-BB04-D9E69E9792B9 1 0.0000 0.8969 1.000 0.000 0.000 0.000 0.000 0.000
#> DAC07889-EE06-46E0-B1F1-833ECC0A48A9 6 0.3327 0.7645 0.000 0.092 0.000 0.000 0.088 0.820
#> E7B555A3-567B-4A44-8225-D269E73FB50B 5 0.0363 0.9456 0.000 0.012 0.000 0.000 0.988 0.000
#> 3CC95101-C35F-4761-9D41-3C35BD55B37E 6 0.2631 0.7526 0.000 0.180 0.000 0.000 0.000 0.820
#> F62E5A69-5E81-4B2A-8CC0-F4D6E188B187 1 0.0000 0.8969 1.000 0.000 0.000 0.000 0.000 0.000
#> C650633B-A369-4657-8693-FDFBF22BD34E 6 0.0146 0.8713 0.004 0.000 0.000 0.000 0.000 0.996
#> 5E514217-F0DB-49FD-9C5D-EB22628ED297 5 0.0363 0.9456 0.000 0.012 0.000 0.000 0.988 0.000
#> 6E1DB9BF-06FE-48B1-A2D8-EF2CE7591364 2 0.0547 0.8938 0.000 0.980 0.000 0.000 0.000 0.020
#> C9581CE3-58B6-45B4-B4B7-15F555FD84A4 6 0.0000 0.8724 0.000 0.000 0.000 0.000 0.000 1.000
#> F56C26ED-9358-485B-8867-EBA1CAA4E2A7 2 0.2003 0.8173 0.000 0.884 0.000 0.000 0.000 0.116
#> 45CA3F9E-40EE-43A4-AE57-FE51D4003844 2 0.0000 0.8998 0.000 1.000 0.000 0.000 0.000 0.000
#> 47EFA063-19C1-4E1F-ACE8-68D9BAD0B995 6 0.0146 0.8714 0.000 0.004 0.000 0.000 0.000 0.996
#> 8C30EA0F-0DA1-43C7-81AE-DE825A53F114 5 0.0547 0.9431 0.000 0.020 0.000 0.000 0.980 0.000
#> 2CE7477C-DD09-4B3A-AD65-C696BE8C9B11 1 0.0000 0.8969 1.000 0.000 0.000 0.000 0.000 0.000
#> 4DECB19A-290F-4CEB-BE25-AAF9B9E2B58F 1 0.0000 0.8969 1.000 0.000 0.000 0.000 0.000 0.000
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#> 9F57D45B-C62F-44C5-AB9D-0CB54BBA16F5 6 0.0000 0.8724 0.000 0.000 0.000 0.000 0.000 1.000
#> 54ACCFD9-A8D6-4E4C-9097-1A0BE258AA1B 1 0.1556 0.8647 0.920 0.000 0.000 0.000 0.000 0.080
#> 9EE67DE9-9B56-4773-8F6A-1036D31F568E 2 0.0000 0.8998 0.000 1.000 0.000 0.000 0.000 0.000
#> 1B1C9301-D6D6-4F6B-80A3-3603013AA951 6 0.2597 0.7561 0.000 0.176 0.000 0.000 0.000 0.824
#> DDDCDF00-FB0A-477B-891B-2EE5E0C8F61E 3 0.0000 0.9977 0.000 0.000 1.000 0.000 0.000 0.000
#> 34A3260D-AC4D-416F-ADF0-24013048BC46 6 0.0146 0.8714 0.000 0.004 0.000 0.000 0.000 0.996
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#> BA4F7841-9FC3-4CE6-ACA5-43FC36641640 1 0.3727 0.5080 0.612 0.000 0.000 0.000 0.000 0.388
#> 24A02CE5-28E7-457E-8B90-4EACA528B072 1 0.0000 0.8969 1.000 0.000 0.000 0.000 0.000 0.000
#> C7008665-F6DE-48B4-A0E7-6C388B72C609 2 0.0000 0.8998 0.000 1.000 0.000 0.000 0.000 0.000
#> 50F984AB-95C1-4D7B-A787-418CBB59D165 6 0.0000 0.8724 0.000 0.000 0.000 0.000 0.000 1.000
#> 5FFD2A6A-ED8A-44A9-9FC1-3106341C284A 5 0.0000 0.9446 0.000 0.000 0.000 0.000 1.000 0.000
#> 7481630E-5CBA-4A4A-A16F-E327BCEE11D3 6 0.0000 0.8724 0.000 0.000 0.000 0.000 0.000 1.000
#> 7B3E6643-C148-4266-A3A3-80BAB713DD3E 2 0.0000 0.8998 0.000 1.000 0.000 0.000 0.000 0.000
#> BA8564FA-8D4D-4B2F-A178-63209F887A05 3 0.0146 0.9919 0.000 0.000 0.996 0.000 0.000 0.004
#> 2FB578F6-E8B7-434D-9720-D448A26C1EFD 1 0.0000 0.8969 1.000 0.000 0.000 0.000 0.000 0.000
#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 2 0.0458 0.8960 0.000 0.984 0.000 0.000 0.000 0.016
#> 740FCE46-8A4A-4A6A-B79F-78A63D28E313 5 0.0000 0.9446 0.000 0.000 0.000 0.000 1.000 0.000
#> 523A5832-0C42-44A4-A58F-7011C3A567DC 3 0.0000 0.9977 0.000 0.000 1.000 0.000 0.000 0.000
#> A2C68C81-7371-4E0C-BFD1-EA868A7C9499 2 0.0547 0.8938 0.000 0.980 0.000 0.000 0.000 0.020
#> 2EB7025A-D932-4238-BD60-609B25150029 4 0.0000 0.9424 0.000 0.000 0.000 1.000 0.000 0.000
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 5 0.0000 0.9446 0.000 0.000 0.000 0.000 1.000 0.000
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 5 0.2664 0.7286 0.000 0.000 0.000 0.000 0.816 0.184
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 5 0.3541 0.6527 0.000 0.020 0.000 0.000 0.748 0.232
#> F081EA01-ED14-491B-9620-BF8F10A7431D 5 0.0363 0.9456 0.000 0.012 0.000 0.000 0.988 0.000
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 2 0.3860 0.0728 0.000 0.528 0.000 0.000 0.000 0.472
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 6 0.0000 0.8724 0.000 0.000 0.000 0.000 0.000 1.000
#> B54639CE-F721-4908-B758-309F148AD3C2 4 0.3717 0.3971 0.000 0.000 0.000 0.616 0.384 0.000
#> EB4294E1-3FBC-495C-A041-829A654B59C5 3 0.0000 0.9977 0.000 0.000 1.000 0.000 0.000 0.000
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 1 0.2631 0.8103 0.820 0.000 0.000 0.000 0.000 0.180
#> EBF3DBA0-0986-4593-BB30-174F2974E918 5 0.0000 0.9446 0.000 0.000 0.000 0.000 1.000 0.000
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 1 0.0000 0.8969 1.000 0.000 0.000 0.000 0.000 0.000
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.0000 0.8998 0.000 1.000 0.000 0.000 0.000 0.000
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 1 0.1765 0.8578 0.904 0.000 0.000 0.000 0.000 0.096
#> D34036E4-1122-42AE-B20F-F4C8515872A0 5 0.0000 0.9446 0.000 0.000 0.000 0.000 1.000 0.000
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 6 0.0000 0.8724 0.000 0.000 0.000 0.000 0.000 1.000
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 6 0.2838 0.7060 0.000 0.004 0.000 0.000 0.188 0.808
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 3 0.0000 0.9977 0.000 0.000 1.000 0.000 0.000 0.000
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.0000 0.8998 0.000 1.000 0.000 0.000 0.000 0.000
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.3266 0.5850 0.000 0.728 0.000 0.000 0.272 0.000
#> F3C13430-405E-432E-8F3E-0DD18E86087E 5 0.0458 0.9445 0.000 0.016 0.000 0.000 0.984 0.000
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.2762 0.6933 0.000 0.804 0.000 0.000 0.196 0.000
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 6 0.3765 0.3101 0.404 0.000 0.000 0.000 0.000 0.596
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.0458 0.8960 0.000 0.984 0.000 0.000 0.000 0.016
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 5 0.0363 0.9456 0.000 0.012 0.000 0.000 0.988 0.000
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 5 0.0363 0.9456 0.000 0.012 0.000 0.000 0.988 0.000
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.1556 0.8347 0.000 0.920 0.000 0.000 0.080 0.000
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.0000 0.8969 1.000 0.000 0.000 0.000 0.000 0.000
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 4 0.0000 0.9424 0.000 0.000 0.000 1.000 0.000 0.000
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 6 0.2135 0.8040 0.128 0.000 0.000 0.000 0.000 0.872
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 5 0.0547 0.9431 0.000 0.020 0.000 0.000 0.980 0.000
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.0000 0.9977 0.000 0.000 1.000 0.000 0.000 0.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.0000 0.9977 0.000 0.000 1.000 0.000 0.000 0.000
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 4 0.0000 0.9424 0.000 0.000 0.000 1.000 0.000 0.000
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 6 0.0000 0.8724 0.000 0.000 0.000 0.000 0.000 1.000
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 6 0.0000 0.8724 0.000 0.000 0.000 0.000 0.000 1.000
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 6 0.0000 0.8724 0.000 0.000 0.000 0.000 0.000 1.000
#> 343F031B-0095-429D-8212-AD0581DBB05B 5 0.3717 0.4118 0.000 0.384 0.000 0.000 0.616 0.000
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 5 0.0000 0.9446 0.000 0.000 0.000 0.000 1.000 0.000
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.0000 0.8969 1.000 0.000 0.000 0.000 0.000 0.000
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 5 0.0547 0.9431 0.000 0.020 0.000 0.000 0.980 0.000
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 5 0.0000 0.9446 0.000 0.000 0.000 0.000 1.000 0.000
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 6 0.3351 0.5182 0.288 0.000 0.000 0.000 0.000 0.712
#> F9F33C38-A087-49FF-B994-3C9EE264F448 6 0.3717 0.3189 0.000 0.384 0.000 0.000 0.000 0.616
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.2631 0.7508 0.000 0.820 0.000 0.000 0.000 0.180
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.0458 0.8960 0.000 0.984 0.000 0.000 0.000 0.016
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.0000 0.9977 0.000 0.000 1.000 0.000 0.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.0000 0.8969 1.000 0.000 0.000 0.000 0.000 0.000
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.0000 0.9977 0.000 0.000 1.000 0.000 0.000 0.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 5 0.0547 0.9431 0.000 0.020 0.000 0.000 0.980 0.000
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.0000 0.9977 0.000 0.000 1.000 0.000 0.000 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.0000 0.8998 0.000 1.000 0.000 0.000 0.000 0.000
#> FC7821F4-6495-4545-A22A-764BB99B3F79 6 0.1501 0.8408 0.076 0.000 0.000 0.000 0.000 0.924
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 4 0.3823 0.2445 0.000 0.000 0.000 0.564 0.436 0.000
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 6 0.0260 0.8704 0.000 0.008 0.000 0.000 0.000 0.992
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 5 0.0547 0.9431 0.000 0.020 0.000 0.000 0.980 0.000
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.0547 0.8938 0.000 0.980 0.000 0.000 0.000 0.020
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 5 0.3737 0.3233 0.000 0.000 0.000 0.392 0.608 0.000
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 5 0.0547 0.9431 0.000 0.020 0.000 0.000 0.980 0.000
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 6 0.2631 0.7526 0.000 0.180 0.000 0.000 0.000 0.820
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0000 0.9977 0.000 0.000 1.000 0.000 0.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 4 0.0363 0.9335 0.000 0.000 0.000 0.988 0.012 0.000
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 5 0.0260 0.9455 0.000 0.008 0.000 0.000 0.992 0.000
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 1 0.3607 0.5742 0.652 0.000 0.000 0.000 0.000 0.348
#> BEE081CA-8420-4314-88A0-286BB30FFD65 6 0.3171 0.7013 0.000 0.204 0.000 0.000 0.012 0.784
#> C464CD1D-4519-48E8-A18A-403F691E5702 5 0.1682 0.8973 0.000 0.020 0.000 0.000 0.928 0.052
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.0000 0.8969 1.000 0.000 0.000 0.000 0.000 0.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 5 0.0363 0.9456 0.000 0.012 0.000 0.000 0.988 0.000
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0000 0.8998 0.000 1.000 0.000 0.000 0.000 0.000
#> A563359B-0D55-4826-9229-62A89143C1C6 6 0.3023 0.6228 0.232 0.000 0.000 0.000 0.000 0.768
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 6 0.2219 0.7987 0.136 0.000 0.000 0.000 0.000 0.864
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 17109 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'ATC' method.
#> Subgroups are detected by 'mclust' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.991 0.949 0.979 0.2836 0.723 0.723
#> 3 3 0.339 0.675 0.793 0.8466 0.676 0.572
#> 4 4 0.551 0.751 0.868 0.0612 0.777 0.615
#> 5 5 0.475 0.414 0.686 0.1854 0.740 0.482
#> 6 6 0.625 0.765 0.857 0.0549 0.776 0.456
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
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.0000 0.9840 0.000 1.000
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 2 0.0000 0.9840 0.000 1.000
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 2 0.0000 0.9840 0.000 1.000
#> 91202998-760F-4421-B1C4-18639962EDDA 2 0.0000 0.9840 0.000 1.000
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.0000 0.9840 0.000 1.000
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 2 0.0000 0.9840 0.000 1.000
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 2 0.0000 0.9840 0.000 1.000
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.0000 0.9840 0.000 1.000
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.0000 0.9840 0.000 1.000
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.0000 0.9840 0.000 1.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 2 0.0000 0.9840 0.000 1.000
#> 784B2359-6064-4FAA-9311-7A852F061FBB 1 0.0000 0.9504 1.000 0.000
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 2 0.0000 0.9840 0.000 1.000
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 2 0.0000 0.9840 0.000 1.000
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 1 0.0000 0.9504 1.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.0000 0.9840 0.000 1.000
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.0000 0.9504 1.000 0.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 2 0.0000 0.9840 0.000 1.000
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 2 0.0000 0.9840 0.000 1.000
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.9896 0.2672 0.560 0.440
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.0000 0.9840 0.000 1.000
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.0000 0.9840 0.000 1.000
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 2 0.0000 0.9840 0.000 1.000
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 1 0.9044 0.5436 0.680 0.320
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.0000 0.9840 0.000 1.000
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 2 0.0000 0.9840 0.000 1.000
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.0000 0.9840 0.000 1.000
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.0000 0.9840 0.000 1.000
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 1 0.0000 0.9504 1.000 0.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.0000 0.9840 0.000 1.000
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 2 0.0000 0.9840 0.000 1.000
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 2 0.0000 0.9840 0.000 1.000
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.0000 0.9840 0.000 1.000
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.0000 0.9840 0.000 1.000
#> 2846A3AC-D102-4E37-9B72-139ED727157A 2 0.0000 0.9840 0.000 1.000
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.0000 0.9840 0.000 1.000
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 2 0.0000 0.9840 0.000 1.000
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 2 0.4690 0.8814 0.100 0.900
#> 150F5B77-4848-4D68-800A-0A0236C3661F 2 0.0000 0.9840 0.000 1.000
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 2 0.2948 0.9344 0.052 0.948
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.0000 0.9840 0.000 1.000
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.0000 0.9840 0.000 1.000
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 2 0.1633 0.9620 0.024 0.976
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 2 0.0000 0.9840 0.000 1.000
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.0000 0.9840 0.000 1.000
#> 1447B543-D3AC-41B5-878F-B382FE49421B 2 0.0000 0.9840 0.000 1.000
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 2 0.0000 0.9840 0.000 1.000
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 2 0.0000 0.9840 0.000 1.000
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 1 0.0000 0.9504 1.000 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 2 0.0000 0.9840 0.000 1.000
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 2 0.0000 0.9840 0.000 1.000
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.0000 0.9504 1.000 0.000
#> D9225689-21E0-478A-8F79-C26542938B8D 2 0.0000 0.9840 0.000 1.000
#> FC3BA46D-57F6-424C-8D62-16C441035969 2 0.0000 0.9840 0.000 1.000
#> 045CFFE6-4736-42F2-9340-C37690E47882 1 0.0000 0.9504 1.000 0.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 2 0.0000 0.9840 0.000 1.000
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 2 0.0000 0.9840 0.000 1.000
#> E94B217F-C5DC-4F42-8135-E81F338914B5 2 0.0000 0.9840 0.000 1.000
#> AE4C3956-76DF-4059-8D69-3D764F31817F 2 0.0000 0.9840 0.000 1.000
#> 33D6A38E-CD99-437B-99E0-04E72582F777 2 0.0000 0.9840 0.000 1.000
#> 8379051C-5847-42B5-AC5C-A128C166AB97 2 0.0000 0.9840 0.000 1.000
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 2 0.0000 0.9840 0.000 1.000
#> 40A16429-229E-4F40-BFC7-263554438F99 2 0.0000 0.9840 0.000 1.000
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 2 0.0000 0.9840 0.000 1.000
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 2 0.0000 0.9840 0.000 1.000
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 2 0.0000 0.9840 0.000 1.000
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 2 0.0000 0.9840 0.000 1.000
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.0000 0.9840 0.000 1.000
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 2 0.0000 0.9840 0.000 1.000
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 2 0.0000 0.9840 0.000 1.000
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 2 0.0000 0.9840 0.000 1.000
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.0000 0.9840 0.000 1.000
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 2 0.0000 0.9840 0.000 1.000
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 2 0.0000 0.9840 0.000 1.000
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 2 0.0000 0.9840 0.000 1.000
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 2 0.0000 0.9840 0.000 1.000
#> FDB47AC4-CE6A-428B-9B55-EBCEF1970ACB 2 0.0000 0.9840 0.000 1.000
#> 133B7E7B-FD50-48A2-9A35-E6D44FAB976B 2 0.0000 0.9840 0.000 1.000
#> E69E45DA-66A6-438A-9BFC-5F1F7F5C5A87 2 0.0000 0.9840 0.000 1.000
#> 6E242DF5-8B8B-4C6F-870E-C7ADFFAFDF3E 2 0.0000 0.9840 0.000 1.000
#> CB7BBFF1-4BF3-42A9-85C6-680D91503799 2 0.0000 0.9840 0.000 1.000
#> 70AA4670-C75B-4E39-8958-3F9C29811871 2 0.0000 0.9840 0.000 1.000
#> D63C5178-4FF7-4FD0-B87E-6CBF6E7BEF5B 2 0.0000 0.9840 0.000 1.000
#> 814391F8-C5B9-43F6-A330-A6749BB8F16E 2 0.0000 0.9840 0.000 1.000
#> 146ED7EA-BF3C-4BAB-B33C-0A668AB13C80 2 0.0000 0.9840 0.000 1.000
#> FD5CAFE8-E669-406A-A505-A47DCDC32E93 2 0.0000 0.9840 0.000 1.000
#> 4B3C7910-A652-45B5-8218-9002EB0FD9EB 2 0.0000 0.9840 0.000 1.000
#> E410F77D-E31F-4D73-ACAC-9245935A92F5 2 0.0000 0.9840 0.000 1.000
#> 64336403-9037-480C-873A-67BC77119FA5 2 0.0000 0.9840 0.000 1.000
#> 6F9D5013-3B1B-41EE-85DB-E51F5D828DEF 2 0.0000 0.9840 0.000 1.000
#> 155AEBBD-1C12-4F88-90C7-1C7FF7E3FB2C 2 0.0000 0.9840 0.000 1.000
#> D28DDCAA-682C-451F-8327-D2C2AFB044E2 2 0.0000 0.9840 0.000 1.000
#> 171523DC-2713-4EBF-A115-53A0BA174545 1 0.0000 0.9504 1.000 0.000
#> FD223304-87BA-4462-A5E5-01AB8C018C35 2 0.0000 0.9840 0.000 1.000
#> D8E06D8A-9063-4466-A3B0-7724F4737C7A 2 0.0000 0.9840 0.000 1.000
#> FFA5FFF7-6301-4CD8-8E63-A4D8294D1B0E 2 0.0000 0.9840 0.000 1.000
#> AF3648D6-C774-48CC-9428-ADC00402A562 1 0.0000 0.9504 1.000 0.000
#> BD406B65-B715-444E-95B4-F38D05BAC863 2 0.0000 0.9840 0.000 1.000
#> 6DB67CA1-0BEB-4585-9867-40E7C8A96D55 2 0.0000 0.9840 0.000 1.000
#> 49C9DE1D-784D-405A-9DD3-C4D2890D0309 2 0.2043 0.9544 0.032 0.968
#> 05EC4D30-D34E-4497-B4F4-80AEDC2E70DF 1 0.0000 0.9504 1.000 0.000
#> CB69E76B-7CD3-49EF-9ADF-75701FE1D0A8 2 0.0000 0.9840 0.000 1.000
#> 103C6E25-A69A-460E-81C0-7437547E1334 2 0.0000 0.9840 0.000 1.000
#> 2D986DB0-B5A8-42E8-ACB8-926A16FAABD6 2 0.0000 0.9840 0.000 1.000
#> 1B9A0F24-8A3F-4693-B09C-5F0EFE5A32A5 2 0.0938 0.9732 0.012 0.988
#> C064D1FE-753E-4493-907C-C5FFE19F9875 2 0.0000 0.9840 0.000 1.000
#> 71596860-AEFA-4B94-8ADE-AC33CEA24DD4 2 0.0000 0.9840 0.000 1.000
#> E9A3A454-AB4D-4683-B276-84DA43792DBB 2 0.0000 0.9840 0.000 1.000
#> C5717869-8413-4810-A042-32E949AD3B0A 2 0.0000 0.9840 0.000 1.000
#> F36B393E-859C-49F8-BDF4-ED2CEF4C6307 2 0.0000 0.9840 0.000 1.000
#> 4CC9D3F9-983F-4CB2-91F1-0FBB86D53DC3 2 0.0000 0.9840 0.000 1.000
#> D450F074-CA68-49CE-B0B3-F81A91D54867 2 0.0000 0.9840 0.000 1.000
#> 2BBD504E-FE90-4142-9204-0E33B6B56C7E 2 0.0000 0.9840 0.000 1.000
#> 1A457CBF-24DA-44F1-B9ED-F26B8D1245D4 2 0.0000 0.9840 0.000 1.000
#> F29B5A39-866E-4C9D-BC26-B726FEA5F576 2 0.0000 0.9840 0.000 1.000
#> 89A4972A-8C91-4272-96BE-BCA9BC447780 2 0.0000 0.9840 0.000 1.000
#> 70B014FD-A0D0-418C-B55F-D09BAE213D52 2 0.0000 0.9840 0.000 1.000
#> 8139F417-0548-40B4-851F-A4E149A2E06A 2 0.1843 0.9582 0.028 0.972
#> 6E9F0021-FA91-4516-9B04-6A978034CECF 2 0.0000 0.9840 0.000 1.000
#> 49DAF1CD-8E20-433B-91A7-8C885ACB21A5 2 0.0000 0.9840 0.000 1.000
#> 093765A6-145C-47C3-B87B-4560CD632B4C 2 0.0000 0.9840 0.000 1.000
#> 90731001-45B2-4601-93F5-064BDD519A30 1 0.0000 0.9504 1.000 0.000
#> 40BCB65D-BC26-4FEF-941F-6F4A42D475EB 2 0.0000 0.9840 0.000 1.000
#> 204317C4-B927-4CAC-AADF-E16D19410ADB 2 0.0000 0.9840 0.000 1.000
#> 1023707A-D6DE-432A-AD2D-2318C3F91FA2 2 0.0000 0.9840 0.000 1.000
#> 06F79E8E-50E3-485A-82E9-C7CD4C72333B 2 0.0000 0.9840 0.000 1.000
#> BFAF5464-D239-4A03-AC34-984DEBA84451 2 0.0000 0.9840 0.000 1.000
#> 96C7C73E-F3E1-4937-A267-B7DAAD8EDE37 2 0.0000 0.9840 0.000 1.000
#> 1D94B33B-9A3F-40BA-90AF-5248ED058C6F 2 0.0000 0.9840 0.000 1.000
#> 3407B68D-0277-465B-8819-10FAE3EE6572 1 0.0000 0.9504 1.000 0.000
#> 868CD0D0-1CB4-4F61-B4ED-EB0C93DD950F 2 0.0000 0.9840 0.000 1.000
#> 823383C2-6F4D-4C0C-8640-3981A7ED1226 1 0.9944 0.2159 0.544 0.456
#> 95B76301-6382-4F6E-9E09-60EEFEEA03D5 2 0.0000 0.9840 0.000 1.000
#> 50A46A4F-883E-4DAA-BD16-FCCC5FA3FCD9 2 0.0000 0.9840 0.000 1.000
#> 5037DC80-5E81-4281-89A0-E0B58071B1D9 1 0.9850 0.2880 0.572 0.428
#> 6A228156-7365-4A4D-8E66-AA687BF37A24 1 0.3274 0.9050 0.940 0.060
#> 868C82CD-CB45-4EC9-96A8-77F0F4E0D874 2 0.0000 0.9840 0.000 1.000
#> 28F5861F-7081-4CE8-A917-941FCB6206FA 2 0.0000 0.9840 0.000 1.000
#> 1ED41271-3AA4-43F1-B43C-0D5C4F918FB8 2 0.0000 0.9840 0.000 1.000
#> 5A879DD8-EB7F-4EB6-9A9A-6D62438D8B95 2 0.0000 0.9840 0.000 1.000
#> 8B55B4E4-9222-4F69-AD4A-A92AC948F05E 2 0.0000 0.9840 0.000 1.000
#> 1DCE9448-495E-46D3-8953-D733BD68DFE6 2 0.0000 0.9840 0.000 1.000
#> C922BF2A-2A98-47CC-9127-1C1A2E38A6B6 1 0.0000 0.9504 1.000 0.000
#> 3C14A318-E9ED-4383-9F57-E227D478B450 2 0.0000 0.9840 0.000 1.000
#> 183B0920-7505-4B65-A940-97021F11DDC1 2 0.3733 0.9131 0.072 0.928
#> CF8B38D4-717B-4F8A-8DA4-8B721E6DFB1C 2 0.0000 0.9840 0.000 1.000
#> 0C7BEFDE-507E-43B2-938D-5695FE462875 2 0.0000 0.9840 0.000 1.000
#> 940D45CC-1300-4E92-A79A-6EDC8118E9E2 2 0.0000 0.9840 0.000 1.000
#> 772D02BF-D8A6-4C99-8C82-5902DEB3A067 2 0.0000 0.9840 0.000 1.000
#> F5D71464-EFD6-4922-9BC9-2620A90DA6F4 2 0.0000 0.9840 0.000 1.000
#> 7C8BDCBF-68D3-4E03-B2D3-31D12CE2784D 2 0.0000 0.9840 0.000 1.000
#> 9DF2F46F-A133-4892-B895-3102F7ACA5DB 1 0.0000 0.9504 1.000 0.000
#> 8A7A65FE-1A7E-42E5-8A5A-55E7733521DA 2 0.0000 0.9840 0.000 1.000
#> 40566B4F-12CE-4FB2-9A64-4C59EC0793F2 1 0.0000 0.9504 1.000 0.000
#> 8E29A6F7-77BC-44EF-AB26-10FCA1187FFF 2 0.0000 0.9840 0.000 1.000
#> A358DF66-5BAE-42C2-8516-224E7CC40ED5 2 0.0000 0.9840 0.000 1.000
#> EB60E3E6-67CA-42E2-8D30-DAFFD763880B 2 0.0000 0.9840 0.000 1.000
#> 904813F9-5366-47D5-812A-6C4C8E7703C2 2 0.0000 0.9840 0.000 1.000
#> F192059C-1945-4C20-8076-2B0D1EDFE659 1 0.0000 0.9504 1.000 0.000
#> 2C19B0A6-347F-4BD4-8ECE-6AFDA076F63D 1 0.0000 0.9504 1.000 0.000
#> 20632EF0-B3E3-4CCF-BD24-D7E75FC20C33 2 0.2948 0.9344 0.052 0.948
#> E1006117-1BD4-478D-94A5-E0FA9D1D94E0 2 0.0000 0.9840 0.000 1.000
#> C25909B0-C3F8-42F5-BE45-898F113761F7 2 0.0000 0.9840 0.000 1.000
#> 7B810A7A-8194-4202-915F-F9CB94C9B75E 2 0.0000 0.9840 0.000 1.000
#> 5047C380-5D35-422E-9C5B-918538391FB7 1 0.0000 0.9504 1.000 0.000
#> 3DFA6DEA-8198-476C-8D85-D8AD90B494AE 2 0.0000 0.9840 0.000 1.000
#> AC59154D-D1A6-40DA-9D4A-5D8A9A522A22 2 0.0000 0.9840 0.000 1.000
#> 1507E508-70CA-45FC-A377-3D2B9E263E19 2 0.0000 0.9840 0.000 1.000
#> AD2A9359-D663-4677-849E-78E8B6F9BA5C 2 0.0000 0.9840 0.000 1.000
#> C54DEBF2-3F5F-430C-BC8B-45452F64929F 2 0.0000 0.9840 0.000 1.000
#> EA99125D-7874-4488-BEA6-FECB08463361 1 0.0000 0.9504 1.000 0.000
#> C6CF06D8-E816-401C-A8E4-0593780D32D6 2 0.2603 0.9425 0.044 0.956
#> 823BC0E7-26C1-487F-845E-CFF34D68A83A 2 0.0000 0.9840 0.000 1.000
#> 26E81097-F3EB-433C-9C95-073FF991C628 1 0.0000 0.9504 1.000 0.000
#> 3CA00D1A-AC31-491E-AA4D-EBA7F8A55718 1 0.0000 0.9504 1.000 0.000
#> 98C89F70-92DF-469A-A8DF-E96838B61A76 2 0.0000 0.9840 0.000 1.000
#> 38042F67-0EAC-46EA-B4B0-4A0560DF3E87 2 0.0000 0.9840 0.000 1.000
#> 3E2BB747-CC3B-48A3-A767-2E113F17BE03 2 0.2423 0.9466 0.040 0.960
#> 285CF040-FA68-481E-8B1C-2C41C34380D2 2 0.0000 0.9840 0.000 1.000
#> D9BAFC42-35E5-4601-A7C4-5A8BA4305A19 2 0.0000 0.9840 0.000 1.000
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#> 3975BE32-7E20-4EFC-9122-FE468544C5D9 2 0.0000 0.9840 0.000 1.000
#> 0FDC5030-92FC-44B5-AE62-6EC3EA9290BB 1 0.0000 0.9504 1.000 0.000
#> 8E3F8687-B00B-4FA9-84F2-F731B169FC45 2 0.0000 0.9840 0.000 1.000
#> 45CEDF59-BC7A-4D86-8C2D-9A91AC141D30 2 0.2236 0.9505 0.036 0.964
#> 4043BFE7-72A7-4A95-8CB2-53FDD574B7EA 2 0.0000 0.9840 0.000 1.000
#> 64D465E7-0DB8-46A1-8BF2-BBF59D23B7EB 2 0.0000 0.9840 0.000 1.000
#> 9824DFB4-0A1A-4BA4-B2DC-5348DA3D3AE6 2 0.0000 0.9840 0.000 1.000
#> 50ECFB2A-FF9D-4A8A-91CB-3902D3B670A0 2 0.0000 0.9840 0.000 1.000
#> 755D805B-B9F4-41D3-ACA7-2BB599C3D529 2 0.0000 0.9840 0.000 1.000
#> 0BA34100-8588-47B5-A962-4BD1916645B6 2 0.3114 0.9303 0.056 0.944
#> 9CE2E8D4-1AD1-4546-AD5D-D58193F79096 2 0.0000 0.9840 0.000 1.000
#> 92D7DB12-B0E0-4072-98FB-34B112E7728D 2 0.9209 0.4802 0.336 0.664
#> 79FD2101-0A9A-4EA7-A773-5EA8693138D0 2 0.0000 0.9840 0.000 1.000
#> A3A8937A-0B0B-4A68-AE68-81DA9CF7F4FB 2 0.0000 0.9840 0.000 1.000
#> 3EB3C0F8-4CBC-41A7-81E4-4D8A565441A7 2 0.0000 0.9840 0.000 1.000
#> 77EE3B54-FD7A-4ACF-879C-31667ADCCC5B 2 0.0000 0.9840 0.000 1.000
#> 327B2123-6DD8-4263-87DE-EE917E911DD4 2 0.0000 0.9840 0.000 1.000
#> 198A6AD0-79CD-40F5-A622-18AFBE78F2D2 1 0.0672 0.9450 0.992 0.008
#> EEE29DE1-F88C-4184-B499-5E86E2D252C4 1 0.3733 0.8931 0.928 0.072
#> 1E95EA22-BC41-4AAE-AFCC-F9281989A785 2 0.0000 0.9840 0.000 1.000
#> CD3AC0E4-88A9-4084-A2BE-AEE722CF6AA3 2 0.2603 0.9425 0.044 0.956
#> 8D7FABA2-764D-4795-BB04-D9E69E9792B9 1 0.3733 0.8943 0.928 0.072
#> DAC07889-EE06-46E0-B1F1-833ECC0A48A9 2 0.0000 0.9840 0.000 1.000
#> E7B555A3-567B-4A44-8225-D269E73FB50B 2 0.0000 0.9840 0.000 1.000
#> 3CC95101-C35F-4761-9D41-3C35BD55B37E 2 0.0000 0.9840 0.000 1.000
#> F62E5A69-5E81-4B2A-8CC0-F4D6E188B187 2 0.8608 0.5973 0.284 0.716
#> C650633B-A369-4657-8693-FDFBF22BD34E 2 0.0000 0.9840 0.000 1.000
#> 5E514217-F0DB-49FD-9C5D-EB22628ED297 2 0.0000 0.9840 0.000 1.000
#> 6E1DB9BF-06FE-48B1-A2D8-EF2CE7591364 2 0.0000 0.9840 0.000 1.000
#> C9581CE3-58B6-45B4-B4B7-15F555FD84A4 2 0.0000 0.9840 0.000 1.000
#> F56C26ED-9358-485B-8867-EBA1CAA4E2A7 2 0.0000 0.9840 0.000 1.000
#> 45CA3F9E-40EE-43A4-AE57-FE51D4003844 2 0.0000 0.9840 0.000 1.000
#> 47EFA063-19C1-4E1F-ACE8-68D9BAD0B995 2 0.0000 0.9840 0.000 1.000
#> 8C30EA0F-0DA1-43C7-81AE-DE825A53F114 2 0.0000 0.9840 0.000 1.000
#> 2CE7477C-DD09-4B3A-AD65-C696BE8C9B11 1 0.0000 0.9504 1.000 0.000
#> 4DECB19A-290F-4CEB-BE25-AAF9B9E2B58F 1 0.0000 0.9504 1.000 0.000
#> 3DEA9B14-DF42-43A0-AC4A-32AE7A16218D 2 0.0000 0.9840 0.000 1.000
#> 9F57D45B-C62F-44C5-AB9D-0CB54BBA16F5 2 0.0000 0.9840 0.000 1.000
#> 54ACCFD9-A8D6-4E4C-9097-1A0BE258AA1B 2 0.8016 0.6703 0.244 0.756
#> 9EE67DE9-9B56-4773-8F6A-1036D31F568E 2 0.0000 0.9840 0.000 1.000
#> 1B1C9301-D6D6-4F6B-80A3-3603013AA951 2 0.0000 0.9840 0.000 1.000
#> DDDCDF00-FB0A-477B-891B-2EE5E0C8F61E 1 0.0000 0.9504 1.000 0.000
#> 34A3260D-AC4D-416F-ADF0-24013048BC46 2 0.0000 0.9840 0.000 1.000
#> 671C1840-9C1B-4AC1-9564-78802489F763 1 0.0000 0.9504 1.000 0.000
#> BA4F7841-9FC3-4CE6-ACA5-43FC36641640 2 0.2948 0.9344 0.052 0.948
#> 24A02CE5-28E7-457E-8B90-4EACA528B072 1 0.4298 0.8789 0.912 0.088
#> C7008665-F6DE-48B4-A0E7-6C388B72C609 2 0.0000 0.9840 0.000 1.000
#> 50F984AB-95C1-4D7B-A787-418CBB59D165 2 0.0000 0.9840 0.000 1.000
#> 5FFD2A6A-ED8A-44A9-9FC1-3106341C284A 2 0.0000 0.9840 0.000 1.000
#> 7481630E-5CBA-4A4A-A16F-E327BCEE11D3 2 0.0000 0.9840 0.000 1.000
#> 7B3E6643-C148-4266-A3A3-80BAB713DD3E 2 0.0000 0.9840 0.000 1.000
#> BA8564FA-8D4D-4B2F-A178-63209F887A05 1 0.0000 0.9504 1.000 0.000
#> 2FB578F6-E8B7-434D-9720-D448A26C1EFD 1 0.4562 0.8714 0.904 0.096
#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 2 0.0000 0.9840 0.000 1.000
#> 740FCE46-8A4A-4A6A-B79F-78A63D28E313 2 0.0000 0.9840 0.000 1.000
#> 523A5832-0C42-44A4-A58F-7011C3A567DC 1 0.0000 0.9504 1.000 0.000
#> A2C68C81-7371-4E0C-BFD1-EA868A7C9499 2 0.0000 0.9840 0.000 1.000
#> 2EB7025A-D932-4238-BD60-609B25150029 2 0.0000 0.9840 0.000 1.000
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 2 0.0000 0.9840 0.000 1.000
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 2 0.0000 0.9840 0.000 1.000
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 2 0.0000 0.9840 0.000 1.000
#> F081EA01-ED14-491B-9620-BF8F10A7431D 2 0.0000 0.9840 0.000 1.000
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 2 0.0000 0.9840 0.000 1.000
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 2 0.0000 0.9840 0.000 1.000
#> B54639CE-F721-4908-B758-309F148AD3C2 2 0.0000 0.9840 0.000 1.000
#> EB4294E1-3FBC-495C-A041-829A654B59C5 1 0.0000 0.9504 1.000 0.000
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 2 0.9815 0.2323 0.420 0.580
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.0000 0.9840 0.000 1.000
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 1 0.4690 0.8672 0.900 0.100
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.0000 0.9840 0.000 1.000
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 2 0.2948 0.9344 0.052 0.948
#> D34036E4-1122-42AE-B20F-F4C8515872A0 2 0.0000 0.9840 0.000 1.000
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 2 0.0000 0.9840 0.000 1.000
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 2 0.0000 0.9840 0.000 1.000
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 1 0.0000 0.9504 1.000 0.000
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.0000 0.9840 0.000 1.000
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.0000 0.9840 0.000 1.000
#> F3C13430-405E-432E-8F3E-0DD18E86087E 2 0.0000 0.9840 0.000 1.000
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.0000 0.9840 0.000 1.000
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 2 0.0938 0.9732 0.012 0.988
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.0000 0.9840 0.000 1.000
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.0000 0.9840 0.000 1.000
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 2 0.0000 0.9840 0.000 1.000
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.0000 0.9840 0.000 1.000
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.9754 0.3540 0.592 0.408
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 2 0.0000 0.9840 0.000 1.000
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 2 0.2603 0.9426 0.044 0.956
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.0000 0.9840 0.000 1.000
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 1 0.0000 0.9504 1.000 0.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 1 0.0000 0.9504 1.000 0.000
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 2 0.0000 0.9840 0.000 1.000
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 2 0.0000 0.9840 0.000 1.000
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.0000 0.9840 0.000 1.000
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 2 0.0000 0.9840 0.000 1.000
#> 343F031B-0095-429D-8212-AD0581DBB05B 2 0.0000 0.9840 0.000 1.000
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 2 0.0000 0.9840 0.000 1.000
#> 03A226C5-398D-41D2-BB72-C97A373CD512 2 0.8608 0.5973 0.284 0.716
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 2 0.0000 0.9840 0.000 1.000
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 2 0.0000 0.9840 0.000 1.000
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 2 0.0000 0.9840 0.000 1.000
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.0000 0.9840 0.000 1.000
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.0000 0.9840 0.000 1.000
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.0000 0.9840 0.000 1.000
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 1 0.0000 0.9504 1.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.9661 0.3969 0.608 0.392
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 1 0.0000 0.9504 1.000 0.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 2 0.0000 0.9840 0.000 1.000
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 1 0.0000 0.9504 1.000 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.0000 0.9840 0.000 1.000
#> FC7821F4-6495-4545-A22A-764BB99B3F79 2 0.0000 0.9840 0.000 1.000
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.0000 0.9840 0.000 1.000
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.0000 0.9840 0.000 1.000
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.0000 0.9840 0.000 1.000
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.0000 0.9840 0.000 1.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 2 0.0000 0.9840 0.000 1.000
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 2 0.0000 0.9840 0.000 1.000
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.0000 0.9840 0.000 1.000
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 1 0.0000 0.9504 1.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 2 0.0000 0.9840 0.000 1.000
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.0000 0.9840 0.000 1.000
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 2 0.0000 0.9840 0.000 1.000
#> BEE081CA-8420-4314-88A0-286BB30FFD65 2 0.0000 0.9840 0.000 1.000
#> C464CD1D-4519-48E8-A18A-403F691E5702 2 0.0000 0.9840 0.000 1.000
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.0000 0.9504 1.000 0.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.0000 0.9840 0.000 1.000
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0000 0.9840 0.000 1.000
#> A563359B-0D55-4826-9229-62A89143C1C6 2 0.0000 0.9840 0.000 1.000
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 2 0.0000 0.9840 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 1 0.5988 0.5085 0.632 0.368 0.000
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 2 0.3879 0.7692 0.152 0.848 0.000
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 2 0.5277 0.6156 0.024 0.796 0.180
#> 91202998-760F-4421-B1C4-18639962EDDA 2 0.5706 0.5865 0.320 0.680 0.000
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.6309 -0.2924 0.496 0.504 0.000
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 2 0.0000 0.7938 0.000 1.000 0.000
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 2 0.0747 0.7896 0.016 0.984 0.000
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.0424 0.7950 0.008 0.992 0.000
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.0000 0.7938 0.000 1.000 0.000
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.0237 0.7933 0.004 0.996 0.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 2 0.1031 0.7979 0.024 0.976 0.000
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.4291 1.0000 0.180 0.000 0.820
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 2 0.5277 0.6156 0.024 0.796 0.180
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 2 0.5859 0.5811 0.344 0.656 0.000
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.4291 1.0000 0.180 0.000 0.820
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.0237 0.7945 0.004 0.996 0.000
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.0237 0.6227 0.996 0.000 0.004
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 2 0.3116 0.7758 0.108 0.892 0.000
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 2 0.4452 0.7406 0.192 0.808 0.000
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.1753 0.6792 0.952 0.048 0.000
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.6309 -0.0400 0.500 0.500 0.000
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.5277 0.6156 0.024 0.796 0.180
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 1 0.5591 0.6306 0.696 0.304 0.000
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 1 0.6140 -0.2003 0.596 0.000 0.404
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.0000 0.7938 0.000 1.000 0.000
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 2 0.5277 0.6156 0.024 0.796 0.180
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.1031 0.7861 0.024 0.976 0.000
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.5016 0.6929 0.240 0.760 0.000
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.4291 1.0000 0.180 0.000 0.820
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 1 0.4605 0.7430 0.796 0.204 0.000
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 2 0.3816 0.7699 0.148 0.852 0.000
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 1 0.6244 0.2756 0.560 0.440 0.000
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.4062 0.7613 0.164 0.836 0.000
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.3412 0.7611 0.124 0.876 0.000
#> 2846A3AC-D102-4E37-9B72-139ED727157A 2 0.1031 0.7861 0.024 0.976 0.000
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 1 0.5497 0.6614 0.708 0.292 0.000
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 1 0.5733 0.6034 0.676 0.324 0.000
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.4291 0.7447 0.820 0.180 0.000
#> 150F5B77-4848-4D68-800A-0A0236C3661F 2 0.0000 0.7938 0.000 1.000 0.000
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.4555 0.7437 0.800 0.200 0.000
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.1163 0.7984 0.028 0.972 0.000
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.4605 0.6813 0.204 0.796 0.000
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 2 0.5859 0.5811 0.344 0.656 0.000
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 2 0.0237 0.7933 0.004 0.996 0.000
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 1 0.5178 0.7059 0.744 0.256 0.000
#> 1447B543-D3AC-41B5-878F-B382FE49421B 1 0.4605 0.7430 0.796 0.204 0.000
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 2 0.5859 0.5284 0.344 0.656 0.000
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 2 0.5254 0.6766 0.264 0.736 0.000
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.4291 1.0000 0.180 0.000 0.820
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 2 0.4121 0.7611 0.168 0.832 0.000
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 2 0.5277 0.6156 0.024 0.796 0.180
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.0000 0.6272 1.000 0.000 0.000
#> D9225689-21E0-478A-8F79-C26542938B8D 1 0.5926 0.5731 0.644 0.356 0.000
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#> C9581CE3-58B6-45B4-B4B7-15F555FD84A4 1 0.5835 0.5729 0.660 0.340 0.000
#> F56C26ED-9358-485B-8867-EBA1CAA4E2A7 1 0.4605 0.7430 0.796 0.204 0.000
#> 45CA3F9E-40EE-43A4-AE57-FE51D4003844 1 0.6215 0.4719 0.572 0.428 0.000
#> 47EFA063-19C1-4E1F-ACE8-68D9BAD0B995 1 0.4702 0.7382 0.788 0.212 0.000
#> 8C30EA0F-0DA1-43C7-81AE-DE825A53F114 2 0.3879 0.7702 0.152 0.848 0.000
#> 2CE7477C-DD09-4B3A-AD65-C696BE8C9B11 1 0.1031 0.6061 0.976 0.000 0.024
#> 4DECB19A-290F-4CEB-BE25-AAF9B9E2B58F 1 0.0237 0.6227 0.996 0.000 0.004
#> 3DEA9B14-DF42-43A0-AC4A-32AE7A16218D 2 0.5277 0.6156 0.024 0.796 0.180
#> 9F57D45B-C62F-44C5-AB9D-0CB54BBA16F5 2 0.5431 0.6416 0.284 0.716 0.000
#> 54ACCFD9-A8D6-4E4C-9097-1A0BE258AA1B 1 0.6345 -0.1796 0.596 0.004 0.400
#> 9EE67DE9-9B56-4773-8F6A-1036D31F568E 2 0.3879 0.7755 0.152 0.848 0.000
#> 1B1C9301-D6D6-4F6B-80A3-3603013AA951 2 0.4796 0.7156 0.220 0.780 0.000
#> DDDCDF00-FB0A-477B-891B-2EE5E0C8F61E 3 0.4291 1.0000 0.180 0.000 0.820
#> 34A3260D-AC4D-416F-ADF0-24013048BC46 1 0.4605 0.7430 0.796 0.204 0.000
#> 671C1840-9C1B-4AC1-9564-78802489F763 1 0.0237 0.6227 0.996 0.000 0.004
#> BA4F7841-9FC3-4CE6-ACA5-43FC36641640 1 0.6661 -0.1562 0.588 0.012 0.400
#> 24A02CE5-28E7-457E-8B90-4EACA528B072 1 0.0000 0.6272 1.000 0.000 0.000
#> C7008665-F6DE-48B4-A0E7-6C388B72C609 2 0.3340 0.7835 0.120 0.880 0.000
#> 50F984AB-95C1-4D7B-A787-418CBB59D165 1 0.5810 0.5803 0.664 0.336 0.000
#> 5FFD2A6A-ED8A-44A9-9FC1-3106341C284A 2 0.0000 0.7938 0.000 1.000 0.000
#> 7481630E-5CBA-4A4A-A16F-E327BCEE11D3 1 0.4605 0.7430 0.796 0.204 0.000
#> 7B3E6643-C148-4266-A3A3-80BAB713DD3E 2 0.2537 0.7791 0.080 0.920 0.000
#> BA8564FA-8D4D-4B2F-A178-63209F887A05 3 0.4291 1.0000 0.180 0.000 0.820
#> 2FB578F6-E8B7-434D-9720-D448A26C1EFD 1 0.0000 0.6272 1.000 0.000 0.000
#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 1 0.4605 0.7430 0.796 0.204 0.000
#> 740FCE46-8A4A-4A6A-B79F-78A63D28E313 2 0.0000 0.7938 0.000 1.000 0.000
#> 523A5832-0C42-44A4-A58F-7011C3A567DC 3 0.4291 1.0000 0.180 0.000 0.820
#> A2C68C81-7371-4E0C-BFD1-EA868A7C9499 2 0.2356 0.7797 0.072 0.928 0.000
#> 2EB7025A-D932-4238-BD60-609B25150029 2 0.5277 0.6156 0.024 0.796 0.180
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 2 0.0000 0.7938 0.000 1.000 0.000
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 2 0.3816 0.7724 0.148 0.852 0.000
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 2 0.3816 0.7699 0.148 0.852 0.000
#> F081EA01-ED14-491B-9620-BF8F10A7431D 2 0.0237 0.7933 0.004 0.996 0.000
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 2 0.3941 0.7606 0.156 0.844 0.000
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 2 0.5254 0.6650 0.264 0.736 0.000
#> B54639CE-F721-4908-B758-309F148AD3C2 2 0.1031 0.7861 0.024 0.976 0.000
#> EB4294E1-3FBC-495C-A041-829A654B59C5 3 0.4291 1.0000 0.180 0.000 0.820
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 1 0.4605 0.7430 0.796 0.204 0.000
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.0000 0.7938 0.000 1.000 0.000
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 1 0.0237 0.6322 0.996 0.004 0.000
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.3038 0.7896 0.104 0.896 0.000
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 1 0.5327 0.6774 0.728 0.272 0.000
#> D34036E4-1122-42AE-B20F-F4C8515872A0 2 0.0000 0.7938 0.000 1.000 0.000
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 2 0.4842 0.7103 0.224 0.776 0.000
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 2 0.5706 0.5906 0.320 0.680 0.000
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 3 0.4291 1.0000 0.180 0.000 0.820
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.4555 0.7462 0.200 0.800 0.000
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.1643 0.7906 0.044 0.956 0.000
#> F3C13430-405E-432E-8F3E-0DD18E86087E 2 0.0747 0.7959 0.016 0.984 0.000
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.0892 0.7945 0.020 0.980 0.000
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 1 0.4605 0.7430 0.796 0.204 0.000
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.4654 0.7381 0.208 0.792 0.000
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.4452 0.7414 0.192 0.808 0.000
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 2 0.3879 0.7702 0.152 0.848 0.000
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.0237 0.7945 0.004 0.996 0.000
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.4178 0.7456 0.828 0.172 0.000
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 2 0.5277 0.6156 0.024 0.796 0.180
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 1 0.5678 0.6133 0.684 0.316 0.000
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.1163 0.7983 0.028 0.972 0.000
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.4291 1.0000 0.180 0.000 0.820
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.4291 1.0000 0.180 0.000 0.820
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 2 0.5277 0.6156 0.024 0.796 0.180
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 1 0.4750 0.7350 0.784 0.216 0.000
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.6286 0.1634 0.464 0.536 0.000
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 1 0.6111 0.4471 0.604 0.396 0.000
#> 343F031B-0095-429D-8212-AD0581DBB05B 2 0.4887 0.6530 0.228 0.772 0.000
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 2 0.0000 0.7938 0.000 1.000 0.000
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.6345 -0.1796 0.596 0.004 0.400
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 2 0.3816 0.7699 0.148 0.852 0.000
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 2 0.0237 0.7933 0.004 0.996 0.000
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 1 0.4605 0.7430 0.796 0.204 0.000
#> F9F33C38-A087-49FF-B994-3C9EE264F448 1 0.4605 0.7430 0.796 0.204 0.000
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.5621 0.6002 0.308 0.692 0.000
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.4974 0.6999 0.236 0.764 0.000
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.4291 1.0000 0.180 0.000 0.820
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.2356 0.7039 0.928 0.072 0.000
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.4291 1.0000 0.180 0.000 0.820
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 2 0.1529 0.7986 0.040 0.960 0.000
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.4291 1.0000 0.180 0.000 0.820
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 1 0.6309 0.2124 0.500 0.500 0.000
#> FC7821F4-6495-4545-A22A-764BB99B3F79 1 0.5431 0.6600 0.716 0.284 0.000
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.0747 0.7896 0.016 0.984 0.000
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.6111 0.3776 0.396 0.604 0.000
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.3551 0.7776 0.132 0.868 0.000
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.4178 0.7630 0.172 0.828 0.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 2 0.1031 0.7861 0.024 0.976 0.000
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 2 0.2878 0.7906 0.096 0.904 0.000
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.5465 0.6432 0.288 0.712 0.000
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.4291 1.0000 0.180 0.000 0.820
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 2 0.1031 0.7861 0.024 0.976 0.000
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.0000 0.7938 0.000 1.000 0.000
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 1 0.6111 0.4577 0.604 0.396 0.000
#> BEE081CA-8420-4314-88A0-286BB30FFD65 2 0.6244 0.2476 0.440 0.560 0.000
#> C464CD1D-4519-48E8-A18A-403F691E5702 2 0.5706 0.5906 0.320 0.680 0.000
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.1860 0.5589 0.948 0.000 0.052
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.0000 0.7938 0.000 1.000 0.000
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.4702 0.6245 0.212 0.788 0.000
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.4605 0.7430 0.796 0.204 0.000
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.4504 0.7443 0.804 0.196 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.4544 0.7162 0.164 0.788 0.000 0.048
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 2 0.0921 0.8687 0.000 0.972 0.000 0.028
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 4 0.2408 0.8514 0.000 0.104 0.000 0.896
#> 91202998-760F-4421-B1C4-18639962EDDA 2 0.2124 0.8640 0.008 0.924 0.000 0.068
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.2928 0.8283 0.108 0.880 0.000 0.012
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 2 0.1557 0.8627 0.000 0.944 0.000 0.056
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 2 0.4624 0.4024 0.000 0.660 0.000 0.340
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.1211 0.8667 0.000 0.960 0.000 0.040
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.1557 0.8627 0.000 0.944 0.000 0.056
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.3569 0.7172 0.000 0.804 0.000 0.196
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 2 0.1557 0.8627 0.000 0.944 0.000 0.056
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.0000 0.8704 0.000 0.000 1.000 0.000
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 4 0.2408 0.8514 0.000 0.104 0.000 0.896
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 2 0.3697 0.8245 0.100 0.852 0.000 0.048
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0000 0.8704 0.000 0.000 1.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.1557 0.8627 0.000 0.944 0.000 0.056
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.0000 0.6673 1.000 0.000 0.000 0.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 2 0.0937 0.8717 0.012 0.976 0.000 0.012
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 2 0.1576 0.8638 0.004 0.948 0.000 0.048
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.2921 0.6915 0.860 0.140 0.000 0.000
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.2401 0.8423 0.004 0.904 0.000 0.092
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 4 0.2408 0.8514 0.000 0.104 0.000 0.896
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 2 0.4661 0.6348 0.256 0.728 0.000 0.016
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 3 0.7658 0.6241 0.284 0.048 0.564 0.104
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.1557 0.8627 0.000 0.944 0.000 0.056
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 4 0.2408 0.8514 0.000 0.104 0.000 0.896
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.4941 0.0600 0.000 0.564 0.000 0.436
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.1902 0.8589 0.004 0.932 0.000 0.064
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.0000 0.8704 0.000 0.000 1.000 0.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 1 0.5250 0.4143 0.552 0.440 0.000 0.008
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 2 0.0817 0.8691 0.000 0.976 0.000 0.024
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 2 0.3377 0.8097 0.140 0.848 0.000 0.012
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.1022 0.8681 0.000 0.968 0.000 0.032
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.1389 0.8708 0.000 0.952 0.000 0.048
#> 2846A3AC-D102-4E37-9B72-139ED727157A 2 0.4933 0.0874 0.000 0.568 0.000 0.432
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.5398 0.1447 0.404 0.580 0.000 0.016
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 2 0.4608 0.7551 0.096 0.800 0.000 0.104
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.0000 0.6673 1.000 0.000 0.000 0.000
#> 150F5B77-4848-4D68-800A-0A0236C3661F 2 0.2704 0.8116 0.000 0.876 0.000 0.124
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.1890 0.6358 0.936 0.008 0.000 0.056
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.1211 0.8669 0.000 0.960 0.000 0.040
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.1637 0.8603 0.000 0.940 0.000 0.060
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 2 0.6448 0.3149 0.316 0.592 0.000 0.092
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 2 0.4382 0.5155 0.000 0.704 0.000 0.296
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.5313 0.2563 0.376 0.608 0.000 0.016
#> 1447B543-D3AC-41B5-878F-B382FE49421B 1 0.5866 0.6263 0.624 0.324 0.000 0.052
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 2 0.2675 0.8627 0.048 0.908 0.000 0.044
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 2 0.2124 0.8566 0.068 0.924 0.000 0.008
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.0000 0.8704 0.000 0.000 1.000 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 2 0.1109 0.8675 0.004 0.968 0.000 0.028
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 4 0.2408 0.8514 0.000 0.104 0.000 0.896
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.0000 0.6673 1.000 0.000 0.000 0.000
#> D9225689-21E0-478A-8F79-C26542938B8D 2 0.3088 0.8137 0.128 0.864 0.000 0.008
#> FC3BA46D-57F6-424C-8D62-16C441035969 2 0.1557 0.8627 0.000 0.944 0.000 0.056
#> 045CFFE6-4736-42F2-9340-C37690E47882 3 0.0000 0.8704 0.000 0.000 1.000 0.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 4 0.2408 0.8514 0.000 0.104 0.000 0.896
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 1 0.5047 0.6526 0.668 0.316 0.000 0.016
#> E94B217F-C5DC-4F42-8135-E81F338914B5 2 0.4643 0.4012 0.000 0.656 0.000 0.344
#> AE4C3956-76DF-4059-8D69-3D764F31817F 2 0.2408 0.8320 0.000 0.896 0.000 0.104
#> 33D6A38E-CD99-437B-99E0-04E72582F777 2 0.1118 0.8675 0.000 0.964 0.000 0.036
#> 8379051C-5847-42B5-AC5C-A128C166AB97 2 0.1743 0.8613 0.004 0.940 0.000 0.056
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 2 0.2401 0.8425 0.004 0.904 0.000 0.092
#> 40A16429-229E-4F40-BFC7-263554438F99 2 0.1557 0.8627 0.000 0.944 0.000 0.056
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 2 0.1557 0.8627 0.000 0.944 0.000 0.056
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 2 0.0707 0.8693 0.000 0.980 0.000 0.020
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 2 0.3037 0.8336 0.020 0.880 0.000 0.100
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 2 0.2053 0.8553 0.004 0.924 0.000 0.072
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#> 8D7FABA2-764D-4795-BB04-D9E69E9792B9 1 0.0000 0.6673 1.000 0.000 0.000 0.000
#> DAC07889-EE06-46E0-B1F1-833ECC0A48A9 2 0.1902 0.8585 0.004 0.932 0.000 0.064
#> E7B555A3-567B-4A44-8225-D269E73FB50B 2 0.2530 0.8238 0.000 0.888 0.000 0.112
#> 3CC95101-C35F-4761-9D41-3C35BD55B37E 2 0.1902 0.8585 0.004 0.932 0.000 0.064
#> F62E5A69-5E81-4B2A-8CC0-F4D6E188B187 3 0.7766 0.6090 0.308 0.048 0.540 0.104
#> C650633B-A369-4657-8693-FDFBF22BD34E 2 0.2987 0.8330 0.016 0.880 0.000 0.104
#> 5E514217-F0DB-49FD-9C5D-EB22628ED297 2 0.1474 0.8639 0.000 0.948 0.000 0.052
#> 6E1DB9BF-06FE-48B1-A2D8-EF2CE7591364 2 0.2949 0.8366 0.088 0.888 0.000 0.024
#> C9581CE3-58B6-45B4-B4B7-15F555FD84A4 2 0.3494 0.7830 0.172 0.824 0.000 0.004
#> F56C26ED-9358-485B-8867-EBA1CAA4E2A7 1 0.4769 0.6572 0.684 0.308 0.000 0.008
#> 45CA3F9E-40EE-43A4-AE57-FE51D4003844 2 0.4095 0.7422 0.172 0.804 0.000 0.024
#> 47EFA063-19C1-4E1F-ACE8-68D9BAD0B995 2 0.4605 0.4659 0.336 0.664 0.000 0.000
#> 8C30EA0F-0DA1-43C7-81AE-DE825A53F114 2 0.1557 0.8627 0.000 0.944 0.000 0.056
#> 2CE7477C-DD09-4B3A-AD65-C696BE8C9B11 1 0.0000 0.6673 1.000 0.000 0.000 0.000
#> 4DECB19A-290F-4CEB-BE25-AAF9B9E2B58F 1 0.0000 0.6673 1.000 0.000 0.000 0.000
#> 3DEA9B14-DF42-43A0-AC4A-32AE7A16218D 4 0.2408 0.8514 0.000 0.104 0.000 0.896
#> 9F57D45B-C62F-44C5-AB9D-0CB54BBA16F5 2 0.2530 0.8371 0.004 0.896 0.000 0.100
#> 54ACCFD9-A8D6-4E4C-9097-1A0BE258AA1B 3 0.7766 0.6090 0.308 0.048 0.540 0.104
#> 9EE67DE9-9B56-4773-8F6A-1036D31F568E 2 0.1022 0.8677 0.000 0.968 0.000 0.032
#> 1B1C9301-D6D6-4F6B-80A3-3603013AA951 2 0.2197 0.8515 0.004 0.916 0.000 0.080
#> DDDCDF00-FB0A-477B-891B-2EE5E0C8F61E 3 0.0000 0.8704 0.000 0.000 1.000 0.000
#> 34A3260D-AC4D-416F-ADF0-24013048BC46 1 0.5050 0.4935 0.588 0.408 0.000 0.004
#> 671C1840-9C1B-4AC1-9564-78802489F763 1 0.0000 0.6673 1.000 0.000 0.000 0.000
#> BA4F7841-9FC3-4CE6-ACA5-43FC36641640 3 0.8960 0.4387 0.308 0.148 0.440 0.104
#> 24A02CE5-28E7-457E-8B90-4EACA528B072 1 0.0000 0.6673 1.000 0.000 0.000 0.000
#> C7008665-F6DE-48B4-A0E7-6C388B72C609 2 0.0592 0.8697 0.000 0.984 0.000 0.016
#> 50F984AB-95C1-4D7B-A787-418CBB59D165 2 0.2805 0.8349 0.012 0.888 0.000 0.100
#> 5FFD2A6A-ED8A-44A9-9FC1-3106341C284A 2 0.1557 0.8627 0.000 0.944 0.000 0.056
#> 7481630E-5CBA-4A4A-A16F-E327BCEE11D3 1 0.4868 0.6595 0.684 0.304 0.000 0.012
#> 7B3E6643-C148-4266-A3A3-80BAB713DD3E 2 0.1284 0.8681 0.012 0.964 0.000 0.024
#> BA8564FA-8D4D-4B2F-A178-63209F887A05 3 0.0000 0.8704 0.000 0.000 1.000 0.000
#> 2FB578F6-E8B7-434D-9720-D448A26C1EFD 1 0.0000 0.6673 1.000 0.000 0.000 0.000
#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 1 0.5090 0.6459 0.660 0.324 0.000 0.016
#> 740FCE46-8A4A-4A6A-B79F-78A63D28E313 2 0.1557 0.8627 0.000 0.944 0.000 0.056
#> 523A5832-0C42-44A4-A58F-7011C3A567DC 3 0.0000 0.8704 0.000 0.000 1.000 0.000
#> A2C68C81-7371-4E0C-BFD1-EA868A7C9499 2 0.2124 0.8677 0.028 0.932 0.000 0.040
#> 2EB7025A-D932-4238-BD60-609B25150029 4 0.2408 0.8514 0.000 0.104 0.000 0.896
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 2 0.1557 0.8627 0.000 0.944 0.000 0.056
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 2 0.4040 0.6231 0.000 0.752 0.000 0.248
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 2 0.0817 0.8699 0.000 0.976 0.000 0.024
#> F081EA01-ED14-491B-9620-BF8F10A7431D 2 0.1557 0.8627 0.000 0.944 0.000 0.056
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 2 0.1724 0.8644 0.032 0.948 0.000 0.020
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 2 0.2530 0.8373 0.004 0.896 0.000 0.100
#> B54639CE-F721-4908-B758-309F148AD3C2 2 0.4981 -0.0609 0.000 0.536 0.000 0.464
#> EB4294E1-3FBC-495C-A041-829A654B59C5 3 0.0000 0.8704 0.000 0.000 1.000 0.000
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 1 0.4040 0.6807 0.752 0.248 0.000 0.000
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.1474 0.8639 0.000 0.948 0.000 0.052
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 1 0.0000 0.6673 1.000 0.000 0.000 0.000
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.0592 0.8690 0.000 0.984 0.000 0.016
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 1 0.6830 0.1638 0.508 0.388 0.000 0.104
#> D34036E4-1122-42AE-B20F-F4C8515872A0 2 0.1557 0.8627 0.000 0.944 0.000 0.056
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 2 0.1978 0.8567 0.004 0.928 0.000 0.068
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 2 0.2408 0.8654 0.036 0.920 0.000 0.044
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 3 0.0000 0.8704 0.000 0.000 1.000 0.000
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.1022 0.8682 0.000 0.968 0.000 0.032
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.1302 0.8678 0.000 0.956 0.000 0.044
#> F3C13430-405E-432E-8F3E-0DD18E86087E 2 0.1557 0.8627 0.000 0.944 0.000 0.056
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.1474 0.8640 0.000 0.948 0.000 0.052
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 1 0.4331 0.6691 0.712 0.288 0.000 0.000
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.1913 0.8608 0.040 0.940 0.000 0.020
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.1302 0.8658 0.000 0.956 0.000 0.044
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 2 0.2814 0.8037 0.000 0.868 0.000 0.132
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.1474 0.8639 0.000 0.948 0.000 0.052
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.0469 0.6727 0.988 0.012 0.000 0.000
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 4 0.2408 0.8514 0.000 0.104 0.000 0.896
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 2 0.4071 0.7945 0.064 0.832 0.000 0.104
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.1557 0.8627 0.000 0.944 0.000 0.056
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.0000 0.8704 0.000 0.000 1.000 0.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.0000 0.8704 0.000 0.000 1.000 0.000
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 4 0.2408 0.8514 0.000 0.104 0.000 0.896
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 1 0.5915 0.5140 0.560 0.400 0.000 0.040
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.2706 0.8421 0.020 0.900 0.000 0.080
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 2 0.2593 0.8345 0.004 0.892 0.000 0.104
#> 343F031B-0095-429D-8212-AD0581DBB05B 2 0.1677 0.8669 0.040 0.948 0.000 0.012
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 2 0.2281 0.8375 0.000 0.904 0.000 0.096
#> 03A226C5-398D-41D2-BB72-C97A373CD512 3 0.7766 0.6090 0.308 0.048 0.540 0.104
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 2 0.0707 0.8697 0.000 0.980 0.000 0.020
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 2 0.2814 0.8037 0.000 0.868 0.000 0.132
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 1 0.5793 0.6305 0.628 0.324 0.000 0.048
#> F9F33C38-A087-49FF-B994-3C9EE264F448 1 0.5152 0.6515 0.664 0.316 0.000 0.020
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.1305 0.8668 0.004 0.960 0.000 0.036
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.1743 0.8618 0.004 0.940 0.000 0.056
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.0000 0.8704 0.000 0.000 1.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.0000 0.6673 1.000 0.000 0.000 0.000
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.0000 0.8704 0.000 0.000 1.000 0.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 2 0.1302 0.8661 0.000 0.956 0.000 0.044
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.0000 0.8704 0.000 0.000 1.000 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.3464 0.8147 0.108 0.860 0.000 0.032
#> FC7821F4-6495-4545-A22A-764BB99B3F79 2 0.5371 0.6275 0.188 0.732 0.000 0.080
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.4454 0.4901 0.000 0.692 0.000 0.308
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.1940 0.8527 0.000 0.924 0.000 0.076
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.0817 0.8700 0.000 0.976 0.000 0.024
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.0921 0.8681 0.000 0.972 0.000 0.028
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 2 0.4972 -0.0270 0.000 0.544 0.000 0.456
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 2 0.1557 0.8627 0.000 0.944 0.000 0.056
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.1059 0.8719 0.012 0.972 0.000 0.016
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0000 0.8704 0.000 0.000 1.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 4 0.4955 0.3780 0.000 0.444 0.000 0.556
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.1557 0.8627 0.000 0.944 0.000 0.056
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 2 0.2737 0.8342 0.008 0.888 0.000 0.104
#> BEE081CA-8420-4314-88A0-286BB30FFD65 2 0.3032 0.8284 0.124 0.868 0.000 0.008
#> C464CD1D-4519-48E8-A18A-403F691E5702 2 0.2871 0.8532 0.072 0.896 0.000 0.032
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.0188 0.6633 0.996 0.000 0.004 0.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.1557 0.8627 0.000 0.944 0.000 0.056
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.2984 0.8385 0.084 0.888 0.000 0.028
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.6483 0.5955 0.584 0.324 0.000 0.092
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.4643 0.6176 0.656 0.344 0.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 5 0.5193 -0.393401 0.032 0.480 0.000 0.004 0.484
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 5 0.4235 -0.241220 0.000 0.424 0.000 0.000 0.576
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 4 0.0609 0.897549 0.000 0.000 0.000 0.980 0.020
#> 91202998-760F-4421-B1C4-18639962EDDA 5 0.4510 -0.237455 0.000 0.432 0.000 0.008 0.560
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.4787 0.488743 0.020 0.548 0.000 0.000 0.432
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 5 0.3109 0.428082 0.000 0.200 0.000 0.000 0.800
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 5 0.1410 0.508302 0.000 0.000 0.000 0.060 0.940
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.4009 0.613386 0.000 0.684 0.000 0.004 0.312
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.4114 0.576104 0.000 0.624 0.000 0.000 0.376
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 5 0.3805 0.423708 0.000 0.184 0.000 0.032 0.784
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 5 0.4300 -0.362837 0.000 0.476 0.000 0.000 0.524
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.0000 0.999913 0.000 0.000 1.000 0.000 0.000
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 4 0.0609 0.897549 0.000 0.000 0.000 0.980 0.020
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 5 0.0932 0.522430 0.020 0.004 0.000 0.004 0.972
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0000 0.999913 0.000 0.000 1.000 0.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 5 0.4287 -0.315466 0.000 0.460 0.000 0.000 0.540
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.0000 0.640681 1.000 0.000 0.000 0.000 0.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 2 0.3969 0.629419 0.004 0.692 0.000 0.000 0.304
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 2 0.3730 0.607896 0.000 0.712 0.000 0.000 0.288
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.3715 0.481767 0.736 0.260 0.000 0.000 0.004
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.4452 0.355509 0.000 0.500 0.000 0.004 0.496
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 4 0.0609 0.897549 0.000 0.000 0.000 0.980 0.020
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 5 0.5052 -0.271997 0.036 0.412 0.000 0.000 0.552
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 1 0.7352 0.013364 0.416 0.196 0.356 0.020 0.012
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 5 0.1670 0.522076 0.000 0.052 0.000 0.012 0.936
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 4 0.0609 0.897549 0.000 0.000 0.000 0.980 0.020
#> 1139D935-739E-4C42-BFCB-06021A85932E 5 0.3675 0.340070 0.000 0.024 0.000 0.188 0.788
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.3612 0.605232 0.000 0.732 0.000 0.000 0.268
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.0000 0.999913 0.000 0.000 1.000 0.000 0.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.6547 0.479698 0.296 0.472 0.000 0.000 0.232
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 5 0.3999 0.281830 0.000 0.344 0.000 0.000 0.656
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 5 0.4574 -0.244527 0.012 0.412 0.000 0.000 0.576
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.3707 0.607494 0.000 0.716 0.000 0.000 0.284
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.4470 0.577469 0.000 0.616 0.000 0.012 0.372
#> 2846A3AC-D102-4E37-9B72-139ED727157A 5 0.3280 0.353100 0.000 0.012 0.000 0.176 0.812
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.6517 0.515578 0.228 0.480 0.000 0.000 0.292
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 2 0.6460 0.350016 0.140 0.448 0.000 0.008 0.404
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.0000 0.640681 1.000 0.000 0.000 0.000 0.000
#> 150F5B77-4848-4D68-800A-0A0236C3661F 5 0.3757 0.421956 0.000 0.208 0.000 0.020 0.772
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.4273 0.509439 0.732 0.240 0.000 0.008 0.020
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 5 0.4273 -0.030545 0.000 0.448 0.000 0.000 0.552
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.4470 0.574088 0.000 0.616 0.000 0.012 0.372
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 5 0.3812 0.409831 0.204 0.000 0.000 0.024 0.772
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 5 0.1124 0.518629 0.000 0.004 0.000 0.036 0.960
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.6447 0.513064 0.192 0.472 0.000 0.000 0.336
#> 1447B543-D3AC-41B5-878F-B382FE49421B 2 0.6736 0.368144 0.196 0.452 0.000 0.008 0.344
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 5 0.4682 -0.260792 0.016 0.420 0.000 0.000 0.564
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 5 0.4528 -0.295909 0.008 0.444 0.000 0.000 0.548
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.0000 0.999913 0.000 0.000 1.000 0.000 0.000
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#> E332A10A-4FB0-4122-BB48-3050E0F73502 5 0.4448 -0.331652 0.000 0.480 0.000 0.004 0.516
#> 0FF95060-00C3-4B53-B46F-6242872C1465 2 0.4268 0.627105 0.016 0.708 0.000 0.004 0.272
#> 51875568-DA72-4A62-9A19-2A61860B83C3 5 0.4882 -0.271067 0.012 0.440 0.000 0.008 0.540
#> C4DB90C8-EB0B-4071-BD4F-EEB37E8ADC26 2 0.6175 0.450815 0.344 0.508 0.000 0.000 0.148
#> 55F8E6BA-AF16-4514-8845-1FCACB758812 3 0.0000 0.999913 0.000 0.000 1.000 0.000 0.000
#> 7F9B2F13-F387-4A54-920A-62C23D9BFB77 2 0.3967 0.628063 0.012 0.724 0.000 0.000 0.264
#> 248E5BD8-0458-43A1-B5D1-BDA14558421F 1 0.0290 0.638047 0.992 0.000 0.000 0.000 0.008
#> B150AB08-9BE5-4DBB-AB30-80C09B319E6D 2 0.3837 0.599895 0.000 0.692 0.000 0.000 0.308
#> 4DC8E477-9AA6-41F7-A7BB-EEEFAFD33256 5 0.1764 0.493554 0.008 0.064 0.000 0.000 0.928
#> 327E0B69-E439-4161-BD58-2E22C5D3A76F 1 0.0000 0.640681 1.000 0.000 0.000 0.000 0.000
#> 50F9B130-6BE8-483C-828F-15445492B631 2 0.3661 0.608992 0.000 0.724 0.000 0.000 0.276
#> D57E89FF-CC54-4FE9-A99B-2E75D407AB91 5 0.0613 0.524780 0.008 0.004 0.000 0.004 0.984
#> 659F3E30-3F80-49AF-9713-824F8D42BA74 5 0.0324 0.526422 0.000 0.004 0.000 0.004 0.992
#> 29E8ADB9-3F5D-497A-9A6B-85218AE2DB14 5 0.4658 -0.242458 0.008 0.432 0.000 0.004 0.556
#> 73B58A54-E759-44FE-8B84-70D60C78066D 5 0.0324 0.526422 0.000 0.004 0.000 0.004 0.992
#> 4001EE2D-F208-465E-B718-01CCB9BD1C17 2 0.5942 0.410229 0.360 0.524 0.000 0.000 0.116
#> AFE61E30-D425-40CC-BC57-C210A0D03EFE 1 0.7352 0.013364 0.416 0.196 0.356 0.020 0.012
#> C06D79D5-4D8A-47D3-97CE-0E9BA204347C 4 0.5696 0.568336 0.000 0.200 0.000 0.628 0.172
#> 3975BE32-7E20-4EFC-9122-FE468544C5D9 5 0.4437 -0.293439 0.000 0.464 0.000 0.004 0.532
#> 0FDC5030-92FC-44B5-AE62-6EC3EA9290BB 3 0.0000 0.999913 0.000 0.000 1.000 0.000 0.000
#> 8E3F8687-B00B-4FA9-84F2-F731B169FC45 5 0.2773 0.395994 0.000 0.000 0.000 0.164 0.836
#> 45CEDF59-BC7A-4D86-8C2D-9A91AC141D30 1 0.3884 0.406332 0.708 0.004 0.000 0.000 0.288
#> 4043BFE7-72A7-4A95-8CB2-53FDD574B7EA 4 0.0609 0.897549 0.000 0.000 0.000 0.980 0.020
#> 64D465E7-0DB8-46A1-8BF2-BBF59D23B7EB 2 0.4304 0.386553 0.000 0.516 0.000 0.000 0.484
#> 9824DFB4-0A1A-4BA4-B2DC-5348DA3D3AE6 5 0.4415 -0.250406 0.000 0.444 0.000 0.004 0.552
#> 50ECFB2A-FF9D-4A8A-91CB-3902D3B670A0 2 0.6535 0.486720 0.276 0.480 0.000 0.000 0.244
#> 755D805B-B9F4-41D3-ACA7-2BB599C3D529 5 0.1579 0.525421 0.000 0.024 0.000 0.032 0.944
#> 0BA34100-8588-47B5-A962-4BD1916645B6 1 0.0000 0.640681 1.000 0.000 0.000 0.000 0.000
#> 9CE2E8D4-1AD1-4546-AD5D-D58193F79096 5 0.0486 0.525981 0.004 0.004 0.000 0.004 0.988
#> 92D7DB12-B0E0-4072-98FB-34B112E7728D 1 0.7446 0.169396 0.412 0.180 0.020 0.020 0.368
#> 79FD2101-0A9A-4EA7-A773-5EA8693138D0 2 0.4037 0.630036 0.004 0.704 0.000 0.004 0.288
#> A3A8937A-0B0B-4A68-AE68-81DA9CF7F4FB 5 0.0324 0.526422 0.000 0.004 0.000 0.004 0.992
#> 3EB3C0F8-4CBC-41A7-81E4-4D8A565441A7 5 0.4557 -0.331821 0.000 0.476 0.000 0.008 0.516
#> 77EE3B54-FD7A-4ACF-879C-31667ADCCC5B 2 0.5603 0.602739 0.076 0.624 0.000 0.012 0.288
#> 327B2123-6DD8-4263-87DE-EE917E911DD4 5 0.3336 0.408419 0.000 0.228 0.000 0.000 0.772
#> 198A6AD0-79CD-40F5-A622-18AFBE78F2D2 1 0.0162 0.639828 0.996 0.004 0.000 0.000 0.000
#> EEE29DE1-F88C-4184-B499-5E86E2D252C4 1 0.7352 0.013364 0.416 0.196 0.356 0.020 0.012
#> 1E95EA22-BC41-4AAE-AFCC-F9281989A785 2 0.6740 0.450651 0.268 0.404 0.000 0.000 0.328
#> CD3AC0E4-88A9-4084-A2BE-AEE722CF6AA3 1 0.1168 0.629504 0.960 0.032 0.000 0.000 0.008
#> 8D7FABA2-764D-4795-BB04-D9E69E9792B9 1 0.0000 0.640681 1.000 0.000 0.000 0.000 0.000
#> DAC07889-EE06-46E0-B1F1-833ECC0A48A9 2 0.3684 0.609833 0.000 0.720 0.000 0.000 0.280
#> E7B555A3-567B-4A44-8225-D269E73FB50B 5 0.0162 0.526936 0.000 0.000 0.000 0.004 0.996
#> 3CC95101-C35F-4761-9D41-3C35BD55B37E 2 0.3684 0.609833 0.000 0.720 0.000 0.000 0.280
#> F62E5A69-5E81-4B2A-8CC0-F4D6E188B187 1 0.7352 0.013364 0.416 0.196 0.356 0.020 0.012
#> C650633B-A369-4657-8693-FDFBF22BD34E 5 0.5225 -0.307043 0.028 0.456 0.000 0.008 0.508
#> 5E514217-F0DB-49FD-9C5D-EB22628ED297 5 0.3999 0.292510 0.000 0.344 0.000 0.000 0.656
#> 6E1DB9BF-06FE-48B1-A2D8-EF2CE7591364 2 0.5137 0.508593 0.032 0.548 0.000 0.004 0.416
#> C9581CE3-58B6-45B4-B4B7-15F555FD84A4 5 0.5078 -0.251310 0.028 0.424 0.000 0.004 0.544
#> F56C26ED-9358-485B-8867-EBA1CAA4E2A7 2 0.5819 0.211330 0.452 0.456 0.000 0.000 0.092
#> 45CA3F9E-40EE-43A4-AE57-FE51D4003844 2 0.5933 0.579371 0.112 0.564 0.000 0.004 0.320
#> 47EFA063-19C1-4E1F-ACE8-68D9BAD0B995 5 0.5685 -0.295595 0.084 0.396 0.000 0.000 0.520
#> 8C30EA0F-0DA1-43C7-81AE-DE825A53F114 5 0.1043 0.523009 0.000 0.040 0.000 0.000 0.960
#> 2CE7477C-DD09-4B3A-AD65-C696BE8C9B11 1 0.0404 0.636614 0.988 0.000 0.000 0.012 0.000
#> 4DECB19A-290F-4CEB-BE25-AAF9B9E2B58F 1 0.0000 0.640681 1.000 0.000 0.000 0.000 0.000
#> 3DEA9B14-DF42-43A0-AC4A-32AE7A16218D 4 0.0609 0.897549 0.000 0.000 0.000 0.980 0.020
#> 9F57D45B-C62F-44C5-AB9D-0CB54BBA16F5 5 0.4415 -0.254290 0.000 0.444 0.000 0.004 0.552
#> 54ACCFD9-A8D6-4E4C-9097-1A0BE258AA1B 1 0.8268 0.124018 0.416 0.204 0.276 0.020 0.084
#> 9EE67DE9-9B56-4773-8F6A-1036D31F568E 2 0.4390 0.519036 0.000 0.568 0.000 0.004 0.428
#> 1B1C9301-D6D6-4F6B-80A3-3603013AA951 2 0.3684 0.609833 0.000 0.720 0.000 0.000 0.280
#> DDDCDF00-FB0A-477B-891B-2EE5E0C8F61E 3 0.0000 0.999913 0.000 0.000 1.000 0.000 0.000
#> 34A3260D-AC4D-416F-ADF0-24013048BC46 2 0.6652 0.443593 0.348 0.420 0.000 0.000 0.232
#> 671C1840-9C1B-4AC1-9564-78802489F763 1 0.0290 0.638175 0.992 0.000 0.000 0.008 0.000
#> BA4F7841-9FC3-4CE6-ACA5-43FC36641640 2 0.8011 -0.111062 0.132 0.484 0.252 0.020 0.112
#> 24A02CE5-28E7-457E-8B90-4EACA528B072 1 0.0000 0.640681 1.000 0.000 0.000 0.000 0.000
#> C7008665-F6DE-48B4-A0E7-6C388B72C609 2 0.3816 0.607828 0.000 0.696 0.000 0.000 0.304
#> 50F984AB-95C1-4D7B-A787-418CBB59D165 5 0.5075 -0.302769 0.020 0.460 0.000 0.008 0.512
#> 5FFD2A6A-ED8A-44A9-9FC1-3106341C284A 5 0.3563 0.428073 0.000 0.208 0.000 0.012 0.780
#> 7481630E-5CBA-4A4A-A16F-E327BCEE11D3 1 0.5638 -0.139746 0.492 0.432 0.000 0.000 0.076
#> 7B3E6643-C148-4266-A3A3-80BAB713DD3E 2 0.3395 0.609385 0.000 0.764 0.000 0.000 0.236
#> BA8564FA-8D4D-4B2F-A178-63209F887A05 3 0.0000 0.999913 0.000 0.000 1.000 0.000 0.000
#> 2FB578F6-E8B7-434D-9720-D448A26C1EFD 1 0.0000 0.640681 1.000 0.000 0.000 0.000 0.000
#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 2 0.5818 0.217958 0.448 0.460 0.000 0.000 0.092
#> 740FCE46-8A4A-4A6A-B79F-78A63D28E313 5 0.1364 0.524916 0.000 0.036 0.000 0.012 0.952
#> 523A5832-0C42-44A4-A58F-7011C3A567DC 3 0.0000 0.999913 0.000 0.000 1.000 0.000 0.000
#> A2C68C81-7371-4E0C-BFD1-EA868A7C9499 2 0.5645 0.547512 0.084 0.540 0.000 0.000 0.376
#> 2EB7025A-D932-4238-BD60-609B25150029 4 0.0609 0.897549 0.000 0.000 0.000 0.980 0.020
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 5 0.1670 0.522731 0.000 0.052 0.000 0.012 0.936
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 5 0.4024 0.411857 0.000 0.220 0.000 0.028 0.752
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 2 0.3983 0.586105 0.000 0.660 0.000 0.000 0.340
#> F081EA01-ED14-491B-9620-BF8F10A7431D 5 0.0162 0.526936 0.000 0.000 0.000 0.004 0.996
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 2 0.4430 0.457369 0.004 0.540 0.000 0.000 0.456
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 5 0.4305 -0.339088 0.000 0.488 0.000 0.000 0.512
#> B54639CE-F721-4908-B758-309F148AD3C2 5 0.3074 0.326363 0.000 0.000 0.000 0.196 0.804
#> EB4294E1-3FBC-495C-A041-829A654B59C5 3 0.0000 0.999913 0.000 0.000 1.000 0.000 0.000
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 1 0.5019 0.292017 0.632 0.316 0.000 0.000 0.052
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.4151 0.565909 0.000 0.652 0.000 0.004 0.344
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 1 0.0000 0.640681 1.000 0.000 0.000 0.000 0.000
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.3684 0.615290 0.000 0.720 0.000 0.000 0.280
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 5 0.7038 -0.176958 0.292 0.340 0.000 0.008 0.360
#> D34036E4-1122-42AE-B20F-F4C8515872A0 5 0.1670 0.522076 0.000 0.052 0.000 0.012 0.936
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 2 0.3816 0.604248 0.000 0.696 0.000 0.000 0.304
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 5 0.0693 0.524750 0.008 0.012 0.000 0.000 0.980
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 3 0.0000 0.999913 0.000 0.000 1.000 0.000 0.000
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.3661 0.618375 0.000 0.724 0.000 0.000 0.276
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.4387 0.598973 0.000 0.640 0.000 0.012 0.348
#> F3C13430-405E-432E-8F3E-0DD18E86087E 5 0.3398 0.294523 0.000 0.216 0.000 0.004 0.780
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.4294 0.461078 0.000 0.532 0.000 0.000 0.468
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 1 0.5715 -0.004611 0.524 0.388 0.000 0.000 0.088
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.4565 0.529572 0.012 0.580 0.000 0.000 0.408
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.3796 0.608573 0.000 0.700 0.000 0.000 0.300
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 5 0.1981 0.512386 0.000 0.064 0.000 0.016 0.920
#> BC833202-69AD-4BFF-8240-3097D447BBA2 5 0.4632 -0.282121 0.000 0.448 0.000 0.012 0.540
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.1608 0.610130 0.928 0.072 0.000 0.000 0.000
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 4 0.0609 0.897549 0.000 0.000 0.000 0.980 0.020
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 5 0.6873 -0.145246 0.248 0.300 0.000 0.008 0.444
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 5 0.4300 -0.351364 0.000 0.476 0.000 0.000 0.524
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.0000 0.999913 0.000 0.000 1.000 0.000 0.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.0000 0.999913 0.000 0.000 1.000 0.000 0.000
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 4 0.0609 0.897549 0.000 0.000 0.000 0.980 0.020
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 2 0.6178 0.403093 0.376 0.484 0.000 0.000 0.140
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.4803 0.363421 0.012 0.496 0.000 0.004 0.488
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 5 0.4557 -0.329014 0.000 0.476 0.000 0.008 0.516
#> 343F031B-0095-429D-8212-AD0581DBB05B 2 0.4446 0.437384 0.004 0.520 0.000 0.000 0.476
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 5 0.1661 0.524609 0.000 0.024 0.000 0.036 0.940
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.7352 0.013364 0.416 0.196 0.356 0.020 0.012
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 2 0.3816 0.607828 0.000 0.696 0.000 0.000 0.304
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 5 0.1117 0.525744 0.000 0.020 0.000 0.016 0.964
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 2 0.6425 0.340200 0.396 0.460 0.000 0.008 0.136
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.5694 0.182268 0.460 0.460 0.000 0.000 0.080
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.4437 0.444358 0.000 0.532 0.000 0.004 0.464
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.3661 0.611869 0.000 0.724 0.000 0.000 0.276
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.0000 0.999913 0.000 0.000 1.000 0.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.0000 0.640681 1.000 0.000 0.000 0.000 0.000
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.0000 0.999913 0.000 0.000 1.000 0.000 0.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 2 0.4074 0.576377 0.000 0.636 0.000 0.000 0.364
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.0000 0.999913 0.000 0.000 1.000 0.000 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.4335 0.627731 0.020 0.708 0.000 0.004 0.268
#> FC7821F4-6495-4545-A22A-764BB99B3F79 5 0.6141 -0.320285 0.100 0.428 0.000 0.008 0.464
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 5 0.4457 0.423601 0.000 0.152 0.000 0.092 0.756
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.4449 0.373923 0.000 0.512 0.000 0.004 0.484
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 5 0.3816 0.337363 0.000 0.304 0.000 0.000 0.696
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.4283 0.433885 0.000 0.544 0.000 0.000 0.456
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 5 0.2966 0.362816 0.000 0.000 0.000 0.184 0.816
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 5 0.4262 -0.284713 0.000 0.440 0.000 0.000 0.560
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 5 0.4397 -0.266303 0.000 0.432 0.000 0.004 0.564
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0000 0.999913 0.000 0.000 1.000 0.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 4 0.3774 0.592402 0.000 0.000 0.000 0.704 0.296
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 5 0.3586 0.379319 0.000 0.264 0.000 0.000 0.736
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 5 0.5156 -0.302706 0.024 0.464 0.000 0.008 0.504
#> BEE081CA-8420-4314-88A0-286BB30FFD65 5 0.4682 -0.260792 0.016 0.420 0.000 0.000 0.564
#> C464CD1D-4519-48E8-A18A-403F691E5702 5 0.1106 0.520223 0.012 0.024 0.000 0.000 0.964
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.0693 0.634168 0.980 0.008 0.000 0.012 0.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 5 0.0566 0.525973 0.000 0.012 0.000 0.004 0.984
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.4127 0.623944 0.008 0.680 0.000 0.000 0.312
#> A563359B-0D55-4826-9229-62A89143C1C6 2 0.6848 0.345724 0.244 0.452 0.000 0.008 0.296
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.4400 0.393313 0.672 0.020 0.000 0.000 0.308
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.3290 0.80162 0.000 0.744 0.000 0.004 0.252 0.000
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 2 0.3244 0.80006 0.000 0.732 0.000 0.000 0.268 0.000
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#> EB4294E1-3FBC-495C-A041-829A654B59C5 3 0.0000 0.99741 0.000 0.000 1.000 0.000 0.000 0.000
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 1 0.4018 0.06126 0.580 0.412 0.000 0.008 0.000 0.000
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.3881 -0.03504 0.000 0.600 0.000 0.004 0.396 0.000
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 1 0.0146 0.85026 0.996 0.000 0.000 0.004 0.000 0.000
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.0806 0.78301 0.000 0.972 0.000 0.008 0.020 0.000
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 2 0.5824 0.69252 0.040 0.596 0.000 0.132 0.232 0.000
#> D34036E4-1122-42AE-B20F-F4C8515872A0 5 0.2562 0.74980 0.000 0.172 0.000 0.000 0.828 0.000
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 2 0.0865 0.79093 0.000 0.964 0.000 0.000 0.036 0.000
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 5 0.2631 0.61551 0.000 0.180 0.000 0.000 0.820 0.000
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 3 0.1141 0.94486 0.000 0.000 0.948 0.052 0.000 0.000
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.0806 0.78301 0.000 0.972 0.000 0.008 0.020 0.000
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.0891 0.79259 0.000 0.968 0.000 0.008 0.024 0.000
#> F3C13430-405E-432E-8F3E-0DD18E86087E 5 0.3945 0.03873 0.000 0.380 0.000 0.000 0.612 0.008
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.3175 0.74888 0.000 0.744 0.000 0.000 0.256 0.000
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 2 0.4060 0.67548 0.296 0.680 0.000 0.008 0.016 0.000
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.1511 0.80454 0.004 0.940 0.000 0.012 0.044 0.000
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.0777 0.78364 0.000 0.972 0.000 0.004 0.024 0.000
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 5 0.1701 0.76884 0.000 0.072 0.000 0.000 0.920 0.008
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.2491 0.81810 0.000 0.836 0.000 0.000 0.164 0.000
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.0806 0.82445 0.972 0.020 0.000 0.008 0.000 0.000
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 6 0.0000 0.92239 0.000 0.000 0.000 0.000 0.000 1.000
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 2 0.4334 0.77970 0.028 0.688 0.000 0.016 0.268 0.000
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.2491 0.81674 0.000 0.836 0.000 0.000 0.164 0.000
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.0000 0.99741 0.000 0.000 1.000 0.000 0.000 0.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.0000 0.99741 0.000 0.000 1.000 0.000 0.000 0.000
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 6 0.0000 0.92239 0.000 0.000 0.000 0.000 0.000 1.000
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 2 0.4651 0.75226 0.204 0.704 0.000 0.016 0.076 0.000
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.3151 0.80109 0.000 0.748 0.000 0.000 0.252 0.000
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 2 0.3175 0.80078 0.000 0.744 0.000 0.000 0.256 0.000
#> 343F031B-0095-429D-8212-AD0581DBB05B 2 0.3012 0.81668 0.000 0.796 0.000 0.008 0.196 0.000
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 5 0.1480 0.75470 0.000 0.020 0.000 0.000 0.940 0.040
#> 03A226C5-398D-41D2-BB72-C97A373CD512 4 0.0909 0.94833 0.020 0.000 0.012 0.968 0.000 0.000
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 2 0.0777 0.78213 0.000 0.972 0.000 0.004 0.024 0.000
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 5 0.1501 0.76946 0.000 0.076 0.000 0.000 0.924 0.000
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 2 0.4514 0.76908 0.184 0.716 0.000 0.008 0.092 0.000
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.3859 0.67499 0.288 0.692 0.000 0.020 0.000 0.000
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.3136 0.81018 0.000 0.768 0.000 0.004 0.228 0.000
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.0603 0.78475 0.000 0.980 0.000 0.004 0.016 0.000
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.0000 0.99741 0.000 0.000 1.000 0.000 0.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.0363 0.85112 0.988 0.000 0.000 0.012 0.000 0.000
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.0000 0.99741 0.000 0.000 1.000 0.000 0.000 0.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 2 0.1219 0.78976 0.000 0.948 0.000 0.004 0.048 0.000
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.0000 0.99741 0.000 0.000 1.000 0.000 0.000 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.0622 0.78864 0.000 0.980 0.000 0.012 0.008 0.000
#> FC7821F4-6495-4545-A22A-764BB99B3F79 2 0.3724 0.79284 0.012 0.716 0.000 0.004 0.268 0.000
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 5 0.4059 0.68053 0.000 0.148 0.000 0.000 0.752 0.100
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.3265 0.80356 0.000 0.748 0.000 0.004 0.248 0.000
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.3862 0.05209 0.000 0.608 0.000 0.004 0.388 0.000
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.1910 0.82034 0.000 0.892 0.000 0.000 0.108 0.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 5 0.3266 0.52292 0.000 0.000 0.000 0.000 0.728 0.272
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 2 0.2597 0.75089 0.000 0.824 0.000 0.000 0.176 0.000
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.3175 0.80076 0.000 0.744 0.000 0.000 0.256 0.000
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0000 0.99741 0.000 0.000 1.000 0.000 0.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 6 0.0363 0.91044 0.000 0.000 0.000 0.000 0.012 0.988
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 5 0.3383 0.68257 0.000 0.268 0.000 0.004 0.728 0.000
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 2 0.3314 0.80036 0.000 0.740 0.000 0.004 0.256 0.000
#> BEE081CA-8420-4314-88A0-286BB30FFD65 2 0.3266 0.79412 0.000 0.728 0.000 0.000 0.272 0.000
#> C464CD1D-4519-48E8-A18A-403F691E5702 5 0.2883 0.57673 0.000 0.212 0.000 0.000 0.788 0.000
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.0363 0.85112 0.988 0.000 0.000 0.012 0.000 0.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 5 0.0713 0.76006 0.000 0.028 0.000 0.000 0.972 0.000
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.1367 0.80569 0.000 0.944 0.000 0.012 0.044 0.000
#> A563359B-0D55-4826-9229-62A89143C1C6 2 0.4595 0.73760 0.224 0.696 0.000 0.012 0.068 0.000
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.5548 0.04665 0.452 0.116 0.000 0.004 0.428 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["ATC", "NMF"]
# you can also extract it by
# res = res_list["ATC:NMF"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#> On a matrix with 17109 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'ATC' method.
#> Subgroups are detected by 'NMF' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 3.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.527 0.707 0.882 0.4678 0.501 0.501
#> 3 3 0.898 0.912 0.964 0.3127 0.601 0.381
#> 4 4 0.536 0.572 0.781 0.1425 0.879 0.704
#> 5 5 0.573 0.560 0.759 0.0677 0.880 0.662
#> 6 6 0.724 0.726 0.857 0.0504 0.839 0.516
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
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 1 0.9686 0.26221 0.604 0.396
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 2 0.9686 0.44927 0.396 0.604
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 2 0.0000 0.82697 0.000 1.000
#> 91202998-760F-4421-B1C4-18639962EDDA 1 0.9323 0.39051 0.652 0.348
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.0000 0.82697 0.000 1.000
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 2 0.0000 0.82697 0.000 1.000
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 2 0.0000 0.82697 0.000 1.000
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.0000 0.82697 0.000 1.000
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.0000 0.82697 0.000 1.000
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 2 0.0000 0.82697 0.000 1.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 2 0.0672 0.82406 0.008 0.992
#> 784B2359-6064-4FAA-9311-7A852F061FBB 1 0.0000 0.87370 1.000 0.000
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 2 0.0000 0.82697 0.000 1.000
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 2 0.9686 0.44927 0.396 0.604
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 1 0.0000 0.87370 1.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.0000 0.82697 0.000 1.000
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.0000 0.87370 1.000 0.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 2 0.0376 0.82558 0.004 0.996
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 2 0.9896 0.34000 0.440 0.560
#> A08E2707-DDB0-40FE-828F-14720768FB05 1 0.0000 0.87370 1.000 0.000
#> D7A50E95-777C-47A6-8F93-031CB4770633 1 0.0000 0.87370 1.000 0.000
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 2 0.0000 0.82697 0.000 1.000
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 1 0.9881 0.12873 0.564 0.436
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 1 0.0000 0.87370 1.000 0.000
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 2 0.0000 0.82697 0.000 1.000
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 2 0.0000 0.82697 0.000 1.000
#> 1139D935-739E-4C42-BFCB-06021A85932E 2 0.0000 0.82697 0.000 1.000
#> 591C91F1-AA70-44DC-B721-0E781C333359 1 0.0376 0.87101 0.996 0.004
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 1 0.0000 0.87370 1.000 0.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.9795 0.40430 0.416 0.584
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 2 0.9686 0.44927 0.396 0.604
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 1 0.9850 0.15796 0.572 0.428
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.6973 0.71919 0.188 0.812
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.0000 0.82697 0.000 1.000
#> 2846A3AC-D102-4E37-9B72-139ED727157A 2 0.0000 0.82697 0.000 1.000
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.9732 0.43215 0.404 0.596
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 1 0.0000 0.87370 1.000 0.000
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.0000 0.87370 1.000 0.000
#> 150F5B77-4848-4D68-800A-0A0236C3661F 2 0.0000 0.82697 0.000 1.000
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 1 0.0000 0.87370 1.000 0.000
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.0000 0.82697 0.000 1.000
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.0000 0.82697 0.000 1.000
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 1 0.3879 0.81372 0.924 0.076
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 2 0.0000 0.82697 0.000 1.000
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.9815 0.39438 0.420 0.580
#> 1447B543-D3AC-41B5-878F-B382FE49421B 1 0.0000 0.87370 1.000 0.000
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 2 0.8327 0.64669 0.264 0.736
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 2 0.9710 0.44089 0.400 0.600
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 1 0.0000 0.87370 1.000 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 1 0.6801 0.69643 0.820 0.180
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 2 0.0000 0.82697 0.000 1.000
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.0000 0.87370 1.000 0.000
#> D9225689-21E0-478A-8F79-C26542938B8D 2 0.9635 0.46520 0.388 0.612
#> FC3BA46D-57F6-424C-8D62-16C441035969 2 0.0000 0.82697 0.000 1.000
#> 045CFFE6-4736-42F2-9340-C37690E47882 1 0.0000 0.87370 1.000 0.000
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#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 2 0.0000 0.82697 0.000 1.000
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 2 0.8267 0.65138 0.260 0.740
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 2 0.8713 0.61298 0.292 0.708
#> F081EA01-ED14-491B-9620-BF8F10A7431D 2 0.0000 0.82697 0.000 1.000
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 2 1.0000 0.13225 0.500 0.500
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 1 0.0000 0.87370 1.000 0.000
#> B54639CE-F721-4908-B758-309F148AD3C2 2 0.0000 0.82697 0.000 1.000
#> EB4294E1-3FBC-495C-A041-829A654B59C5 1 0.0000 0.87370 1.000 0.000
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 1 0.5842 0.74620 0.860 0.140
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.0000 0.82697 0.000 1.000
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 1 0.0000 0.87370 1.000 0.000
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.0000 0.82697 0.000 1.000
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 1 0.0000 0.87370 1.000 0.000
#> D34036E4-1122-42AE-B20F-F4C8515872A0 2 0.0000 0.82697 0.000 1.000
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 1 0.0000 0.87370 1.000 0.000
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 1 0.9996 -0.08949 0.512 0.488
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 1 0.0000 0.87370 1.000 0.000
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.7299 0.70578 0.204 0.796
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.0000 0.82697 0.000 1.000
#> F3C13430-405E-432E-8F3E-0DD18E86087E 2 0.0000 0.82697 0.000 1.000
#> 43EDF662-2507-4B61-B706-B0730F603711 2 0.0000 0.82697 0.000 1.000
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 1 0.0000 0.87370 1.000 0.000
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.9710 0.44093 0.400 0.600
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.0000 0.82697 0.000 1.000
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 2 0.9661 0.45734 0.392 0.608
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.0000 0.82697 0.000 1.000
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 1 0.0000 0.87370 1.000 0.000
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 2 0.0000 0.82697 0.000 1.000
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 1 0.0000 0.87370 1.000 0.000
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.0376 0.82556 0.004 0.996
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 1 0.0000 0.87370 1.000 0.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 1 0.0000 0.87370 1.000 0.000
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 2 0.0000 0.82697 0.000 1.000
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 1 0.9661 0.27416 0.608 0.392
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 1 0.5059 0.77723 0.888 0.112
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 1 0.1414 0.85951 0.980 0.020
#> 343F031B-0095-429D-8212-AD0581DBB05B 2 0.7219 0.70918 0.200 0.800
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 2 0.0000 0.82697 0.000 1.000
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.0000 0.87370 1.000 0.000
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 2 0.0000 0.82697 0.000 1.000
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 2 0.0000 0.82697 0.000 1.000
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 1 0.0000 0.87370 1.000 0.000
#> F9F33C38-A087-49FF-B994-3C9EE264F448 1 0.9815 0.18565 0.580 0.420
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.9922 0.31626 0.448 0.552
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.9580 0.48015 0.380 0.620
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 1 0.0000 0.87370 1.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.0000 0.87370 1.000 0.000
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 1 0.0000 0.87370 1.000 0.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 2 0.0000 0.82697 0.000 1.000
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 1 0.0000 0.87370 1.000 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.0000 0.82697 0.000 1.000
#> FC7821F4-6495-4545-A22A-764BB99B3F79 1 0.0000 0.87370 1.000 0.000
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 2 0.0000 0.82697 0.000 1.000
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 1 0.9661 0.27415 0.608 0.392
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.2603 0.80820 0.044 0.956
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 1 0.9996 -0.08942 0.512 0.488
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 2 0.0000 0.82697 0.000 1.000
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 2 0.6623 0.73127 0.172 0.828
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 1 0.9998 -0.10622 0.508 0.492
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 1 0.0000 0.87370 1.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 2 0.0000 0.82697 0.000 1.000
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.0000 0.82697 0.000 1.000
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 1 0.0000 0.87370 1.000 0.000
#> BEE081CA-8420-4314-88A0-286BB30FFD65 2 0.9248 0.54667 0.340 0.660
#> C464CD1D-4519-48E8-A18A-403F691E5702 2 0.9170 0.55872 0.332 0.668
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.0000 0.87370 1.000 0.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 2 0.0000 0.82697 0.000 1.000
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.7950 0.67216 0.240 0.760
#> A563359B-0D55-4826-9229-62A89143C1C6 1 0.0000 0.87370 1.000 0.000
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.0000 0.87370 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.0000 0.9549 0.000 1.000 0.000
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 2 0.0237 0.9527 0.000 0.996 0.004
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 3 0.0000 0.9452 0.000 0.000 1.000
#> 91202998-760F-4421-B1C4-18639962EDDA 2 0.0237 0.9527 0.004 0.996 0.000
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.0237 0.9527 0.000 0.996 0.004
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 3 0.0000 0.9452 0.000 0.000 1.000
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 3 0.0000 0.9452 0.000 0.000 1.000
#> 54337CE9-6F12-4712-8131-4B83F3216343 3 0.6062 0.3841 0.000 0.384 0.616
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 2 0.1964 0.9129 0.000 0.944 0.056
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 3 0.0000 0.9452 0.000 0.000 1.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 2 0.1753 0.9197 0.000 0.952 0.048
#> 784B2359-6064-4FAA-9311-7A852F061FBB 1 0.0000 0.9822 1.000 0.000 0.000
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 3 0.0000 0.9452 0.000 0.000 1.000
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 3 0.5835 0.4467 0.340 0.000 0.660
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 1 0.0000 0.9822 1.000 0.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.0237 0.9527 0.000 0.996 0.004
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.0000 0.9822 1.000 0.000 0.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 2 0.0000 0.9549 0.000 1.000 0.000
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 2 0.0000 0.9549 0.000 1.000 0.000
#> A08E2707-DDB0-40FE-828F-14720768FB05 2 0.5397 0.6443 0.280 0.720 0.000
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.0000 0.9549 0.000 1.000 0.000
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 3 0.0000 0.9452 0.000 0.000 1.000
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 2 0.0000 0.9549 0.000 1.000 0.000
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 1 0.0000 0.9822 1.000 0.000 0.000
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 3 0.0000 0.9452 0.000 0.000 1.000
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 3 0.0000 0.9452 0.000 0.000 1.000
#> 1139D935-739E-4C42-BFCB-06021A85932E 3 0.0000 0.9452 0.000 0.000 1.000
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.0000 0.9549 0.000 1.000 0.000
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 1 0.0000 0.9822 1.000 0.000 0.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.0000 0.9549 0.000 1.000 0.000
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 2 0.0000 0.9549 0.000 1.000 0.000
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 2 0.0000 0.9549 0.000 1.000 0.000
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.0000 0.9549 0.000 1.000 0.000
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 3 0.5733 0.5209 0.000 0.324 0.676
#> 2846A3AC-D102-4E37-9B72-139ED727157A 3 0.0000 0.9452 0.000 0.000 1.000
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.0000 0.9549 0.000 1.000 0.000
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 2 0.0000 0.9549 0.000 1.000 0.000
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.0000 0.9822 1.000 0.000 0.000
#> 150F5B77-4848-4D68-800A-0A0236C3661F 3 0.0000 0.9452 0.000 0.000 1.000
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 2 0.5254 0.6708 0.264 0.736 0.000
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 2 0.5785 0.5196 0.000 0.668 0.332
#> A179B59A-EECC-4692-B008-5117800D7C8B 3 0.6307 0.0300 0.000 0.488 0.512
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 1 0.0000 0.9822 1.000 0.000 0.000
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 3 0.0000 0.9452 0.000 0.000 1.000
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.0000 0.9549 0.000 1.000 0.000
#> 1447B543-D3AC-41B5-878F-B382FE49421B 2 0.0000 0.9549 0.000 1.000 0.000
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 2 0.1964 0.9129 0.000 0.944 0.056
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 2 0.0000 0.9549 0.000 1.000 0.000
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 1 0.0000 0.9822 1.000 0.000 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 2 0.0000 0.9549 0.000 1.000 0.000
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 3 0.0000 0.9452 0.000 0.000 1.000
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.0000 0.9822 1.000 0.000 0.000
#> D9225689-21E0-478A-8F79-C26542938B8D 2 0.0237 0.9527 0.000 0.996 0.004
#> FC3BA46D-57F6-424C-8D62-16C441035969 3 0.2625 0.8681 0.000 0.084 0.916
#> 045CFFE6-4736-42F2-9340-C37690E47882 1 0.0000 0.9822 1.000 0.000 0.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 3 0.0000 0.9452 0.000 0.000 1.000
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 2 0.0000 0.9549 0.000 1.000 0.000
#> E94B217F-C5DC-4F42-8135-E81F338914B5 3 0.0424 0.9392 0.000 0.008 0.992
#> AE4C3956-76DF-4059-8D69-3D764F31817F 3 0.0000 0.9452 0.000 0.000 1.000
#> 33D6A38E-CD99-437B-99E0-04E72582F777 2 0.0000 0.9549 0.000 1.000 0.000
#> 8379051C-5847-42B5-AC5C-A128C166AB97 2 0.0000 0.9549 0.000 1.000 0.000
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 2 0.0000 0.9549 0.000 1.000 0.000
#> 40A16429-229E-4F40-BFC7-263554438F99 3 0.0000 0.9452 0.000 0.000 1.000
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 2 0.6309 0.0253 0.000 0.504 0.496
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 2 0.1964 0.9131 0.000 0.944 0.056
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 2 0.4605 0.7598 0.204 0.796 0.000
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 2 0.0000 0.9549 0.000 1.000 0.000
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.0000 0.9549 0.000 1.000 0.000
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 2 0.0000 0.9549 0.000 1.000 0.000
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 2 0.6008 0.4213 0.000 0.628 0.372
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 2 0.0000 0.9549 0.000 1.000 0.000
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.0000 0.9549 0.000 1.000 0.000
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 3 0.0000 0.9452 0.000 0.000 1.000
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 2 0.0000 0.9549 0.000 1.000 0.000
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 2 0.0000 0.9549 0.000 1.000 0.000
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 2 0.0000 0.9549 0.000 1.000 0.000
#> FDB47AC4-CE6A-428B-9B55-EBCEF1970ACB 3 0.0000 0.9452 0.000 0.000 1.000
#> 133B7E7B-FD50-48A2-9A35-E6D44FAB976B 3 0.0000 0.9452 0.000 0.000 1.000
#> E69E45DA-66A6-438A-9BFC-5F1F7F5C5A87 3 0.0000 0.9452 0.000 0.000 1.000
#> 6E242DF5-8B8B-4C6F-870E-C7ADFFAFDF3E 2 0.0237 0.9527 0.000 0.996 0.004
#> CB7BBFF1-4BF3-42A9-85C6-680D91503799 2 0.0000 0.9549 0.000 1.000 0.000
#> 70AA4670-C75B-4E39-8958-3F9C29811871 2 0.0000 0.9549 0.000 1.000 0.000
#> D63C5178-4FF7-4FD0-B87E-6CBF6E7BEF5B 2 0.0000 0.9549 0.000 1.000 0.000
#> 814391F8-C5B9-43F6-A330-A6749BB8F16E 2 0.0000 0.9549 0.000 1.000 0.000
#> 146ED7EA-BF3C-4BAB-B33C-0A668AB13C80 2 0.0237 0.9527 0.000 0.996 0.004
#> FD5CAFE8-E669-406A-A505-A47DCDC32E93 3 0.0000 0.9452 0.000 0.000 1.000
#> 4B3C7910-A652-45B5-8218-9002EB0FD9EB 3 0.0000 0.9452 0.000 0.000 1.000
#> E410F77D-E31F-4D73-ACAC-9245935A92F5 3 0.0000 0.9452 0.000 0.000 1.000
#> 64336403-9037-480C-873A-67BC77119FA5 2 0.0000 0.9549 0.000 1.000 0.000
#> 6F9D5013-3B1B-41EE-85DB-E51F5D828DEF 3 0.6154 0.3078 0.000 0.408 0.592
#> 155AEBBD-1C12-4F88-90C7-1C7FF7E3FB2C 2 0.0000 0.9549 0.000 1.000 0.000
#> D28DDCAA-682C-451F-8327-D2C2AFB044E2 2 0.2261 0.9022 0.000 0.932 0.068
#> 171523DC-2713-4EBF-A115-53A0BA174545 1 0.0000 0.9822 1.000 0.000 0.000
#> FD223304-87BA-4462-A5E5-01AB8C018C35 2 0.0000 0.9549 0.000 1.000 0.000
#> D8E06D8A-9063-4466-A3B0-7724F4737C7A 2 0.0237 0.9527 0.004 0.996 0.000
#> FFA5FFF7-6301-4CD8-8E63-A4D8294D1B0E 3 0.0000 0.9452 0.000 0.000 1.000
#> AF3648D6-C774-48CC-9428-ADC00402A562 1 0.0000 0.9822 1.000 0.000 0.000
#> BD406B65-B715-444E-95B4-F38D05BAC863 2 0.0000 0.9549 0.000 1.000 0.000
#> 6DB67CA1-0BEB-4585-9867-40E7C8A96D55 2 0.0000 0.9549 0.000 1.000 0.000
#> 49C9DE1D-784D-405A-9DD3-C4D2890D0309 2 0.4062 0.8090 0.164 0.836 0.000
#> 05EC4D30-D34E-4497-B4F4-80AEDC2E70DF 1 0.0000 0.9822 1.000 0.000 0.000
#> CB69E76B-7CD3-49EF-9ADF-75701FE1D0A8 3 0.0000 0.9452 0.000 0.000 1.000
#> 103C6E25-A69A-460E-81C0-7437547E1334 2 0.0000 0.9549 0.000 1.000 0.000
#> 2D986DB0-B5A8-42E8-ACB8-926A16FAABD6 2 0.0892 0.9415 0.000 0.980 0.020
#> 1B9A0F24-8A3F-4693-B09C-5F0EFE5A32A5 1 0.0000 0.9822 1.000 0.000 0.000
#> C064D1FE-753E-4493-907C-C5FFE19F9875 2 0.0000 0.9549 0.000 1.000 0.000
#> 71596860-AEFA-4B94-8ADE-AC33CEA24DD4 2 0.0000 0.9549 0.000 1.000 0.000
#> E9A3A454-AB4D-4683-B276-84DA43792DBB 3 0.0000 0.9452 0.000 0.000 1.000
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#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 3 0.0000 0.9452 0.000 0.000 1.000
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 2 0.0000 0.9549 0.000 1.000 0.000
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.0000 0.9549 0.000 1.000 0.000
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 2 0.0000 0.9549 0.000 1.000 0.000
#> 343F031B-0095-429D-8212-AD0581DBB05B 2 0.0237 0.9527 0.000 0.996 0.004
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 3 0.0000 0.9452 0.000 0.000 1.000
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.0000 0.9822 1.000 0.000 0.000
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 2 0.0000 0.9549 0.000 1.000 0.000
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 3 0.0000 0.9452 0.000 0.000 1.000
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 2 0.0000 0.9549 0.000 1.000 0.000
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.0000 0.9549 0.000 1.000 0.000
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 2 0.0000 0.9549 0.000 1.000 0.000
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.0000 0.9549 0.000 1.000 0.000
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 1 0.0000 0.9822 1.000 0.000 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.0000 0.9822 1.000 0.000 0.000
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 1 0.0000 0.9822 1.000 0.000 0.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 2 0.0237 0.9527 0.000 0.996 0.004
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 1 0.0000 0.9822 1.000 0.000 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.0000 0.9549 0.000 1.000 0.000
#> FC7821F4-6495-4545-A22A-764BB99B3F79 2 0.1964 0.9142 0.056 0.944 0.000
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 3 0.0000 0.9452 0.000 0.000 1.000
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 2 0.0000 0.9549 0.000 1.000 0.000
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 2 0.4002 0.8044 0.000 0.840 0.160
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.0000 0.9549 0.000 1.000 0.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 3 0.0000 0.9452 0.000 0.000 1.000
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 2 0.0424 0.9502 0.000 0.992 0.008
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.0000 0.9549 0.000 1.000 0.000
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 1 0.0000 0.9822 1.000 0.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 3 0.0000 0.9452 0.000 0.000 1.000
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.4974 0.6967 0.000 0.764 0.236
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 2 0.0000 0.9549 0.000 1.000 0.000
#> BEE081CA-8420-4314-88A0-286BB30FFD65 2 0.0424 0.9501 0.000 0.992 0.008
#> C464CD1D-4519-48E8-A18A-403F691E5702 3 0.6676 0.0632 0.008 0.476 0.516
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.0000 0.9822 1.000 0.000 0.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 3 0.0424 0.9391 0.000 0.008 0.992
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0000 0.9549 0.000 1.000 0.000
#> A563359B-0D55-4826-9229-62A89143C1C6 2 0.2711 0.8870 0.088 0.912 0.000
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.0000 0.9822 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.0376 0.73878 0.004 0.992 0.004 0.000
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 3 0.5203 0.50456 0.000 0.416 0.576 0.008
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 4 0.0000 0.77977 0.000 0.000 0.000 1.000
#> 91202998-760F-4421-B1C4-18639962EDDA 3 0.5953 0.64573 0.076 0.268 0.656 0.000
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.1510 0.72157 0.000 0.956 0.016 0.028
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 4 0.6640 0.39833 0.000 0.128 0.268 0.604
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 4 0.0000 0.77977 0.000 0.000 0.000 1.000
#> 54337CE9-6F12-4712-8131-4B83F3216343 4 0.5163 0.17597 0.000 0.480 0.004 0.516
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 3 0.7346 0.61623 0.000 0.280 0.520 0.200
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 4 0.1389 0.76341 0.000 0.000 0.048 0.952
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 3 0.6028 0.67185 0.000 0.280 0.644 0.076
#> 784B2359-6064-4FAA-9311-7A852F061FBB 1 0.4998 0.63480 0.512 0.000 0.488 0.000
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 4 0.0000 0.77977 0.000 0.000 0.000 1.000
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 4 0.6846 0.08964 0.436 0.068 0.012 0.484
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 1 0.4697 0.71366 0.644 0.000 0.356 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.1398 0.72477 0.004 0.956 0.040 0.000
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.0188 0.74185 0.996 0.000 0.004 0.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 2 0.4522 0.32908 0.000 0.680 0.320 0.000
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 3 0.4500 0.64641 0.000 0.316 0.684 0.000
#> A08E2707-DDB0-40FE-828F-14720768FB05 2 0.4194 0.55983 0.228 0.764 0.008 0.000
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.0376 0.73900 0.004 0.992 0.004 0.000
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 4 0.0000 0.77977 0.000 0.000 0.000 1.000
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 2 0.5784 0.51160 0.200 0.700 0.100 0.000
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 1 0.6186 0.30074 0.584 0.064 0.352 0.000
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 4 0.5993 0.48459 0.000 0.064 0.308 0.628
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 4 0.0000 0.77977 0.000 0.000 0.000 1.000
#> 1139D935-739E-4C42-BFCB-06021A85932E 4 0.0000 0.77977 0.000 0.000 0.000 1.000
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.4406 0.40574 0.000 0.700 0.300 0.000
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 1 0.4643 0.71314 0.656 0.000 0.344 0.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.1302 0.72445 0.000 0.956 0.044 0.000
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 2 0.4624 0.32172 0.000 0.660 0.340 0.000
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 2 0.3324 0.64805 0.136 0.852 0.012 0.000
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.1022 0.73161 0.000 0.968 0.032 0.000
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.5004 0.19904 0.000 0.604 0.004 0.392
#> 2846A3AC-D102-4E37-9B72-139ED727157A 4 0.0188 0.77841 0.000 0.004 0.000 0.996
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.0592 0.73606 0.000 0.984 0.016 0.000
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 2 0.7526 -0.00203 0.188 0.440 0.372 0.000
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 1 0.4994 0.01400 0.520 0.000 0.480 0.000
#> 150F5B77-4848-4D68-800A-0A0236C3661F 4 0.4560 0.57751 0.000 0.004 0.296 0.700
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 2 0.4917 0.43980 0.336 0.656 0.008 0.000
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 3 0.7653 0.44098 0.000 0.240 0.460 0.300
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.5517 0.28241 0.000 0.648 0.036 0.316
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 1 0.7844 -0.04729 0.404 0.000 0.308 0.288
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 4 0.0469 0.77438 0.000 0.000 0.012 0.988
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.0657 0.73728 0.004 0.984 0.012 0.000
#> 1447B543-D3AC-41B5-878F-B382FE49421B 2 0.7085 0.32026 0.200 0.568 0.232 0.000
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 2 0.4730 0.59020 0.180 0.780 0.028 0.012
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 2 0.0592 0.73606 0.000 0.984 0.016 0.000
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 1 0.4643 0.71314 0.656 0.000 0.344 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 2 0.4477 0.38183 0.000 0.688 0.312 0.000
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 4 0.0000 0.77977 0.000 0.000 0.000 1.000
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.0000 0.74272 1.000 0.000 0.000 0.000
#> D9225689-21E0-478A-8F79-C26542938B8D 3 0.4872 0.62262 0.000 0.356 0.640 0.004
#> FC3BA46D-57F6-424C-8D62-16C441035969 4 0.5783 0.52151 0.000 0.172 0.120 0.708
#> 045CFFE6-4736-42F2-9340-C37690E47882 1 0.4713 0.71204 0.640 0.000 0.360 0.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 4 0.0000 0.77977 0.000 0.000 0.000 1.000
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 2 0.0188 0.73866 0.000 0.996 0.004 0.000
#> E94B217F-C5DC-4F42-8135-E81F338914B5 4 0.3672 0.66365 0.000 0.012 0.164 0.824
#> AE4C3956-76DF-4059-8D69-3D764F31817F 4 0.5951 0.49728 0.000 0.064 0.300 0.636
#> 33D6A38E-CD99-437B-99E0-04E72582F777 2 0.4916 0.04044 0.000 0.576 0.424 0.000
#> 8379051C-5847-42B5-AC5C-A128C166AB97 2 0.4961 -0.07249 0.000 0.552 0.448 0.000
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 2 0.4103 0.48680 0.000 0.744 0.256 0.000
#> 40A16429-229E-4F40-BFC7-263554438F99 4 0.0000 0.77977 0.000 0.000 0.000 1.000
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 3 0.7290 0.38712 0.000 0.168 0.504 0.328
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 3 0.5646 0.67580 0.000 0.272 0.672 0.056
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 2 0.7264 0.22376 0.320 0.512 0.168 0.000
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 2 0.4998 -0.23215 0.000 0.512 0.488 0.000
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.0188 0.73857 0.000 0.996 0.004 0.000
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 2 0.4643 0.31204 0.000 0.656 0.344 0.000
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 4 0.7638 -0.14656 0.000 0.208 0.372 0.420
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 2 0.2011 0.70481 0.000 0.920 0.080 0.000
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.0469 0.73769 0.000 0.988 0.012 0.000
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 4 0.0000 0.77977 0.000 0.000 0.000 1.000
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 2 0.4776 0.22166 0.000 0.624 0.376 0.000
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 2 0.3791 0.58882 0.200 0.796 0.004 0.000
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 2 0.4406 0.40947 0.000 0.700 0.300 0.000
#> FDB47AC4-CE6A-428B-9B55-EBCEF1970ACB 4 0.3219 0.69449 0.000 0.000 0.164 0.836
#> 133B7E7B-FD50-48A2-9A35-E6D44FAB976B 4 0.1888 0.76398 0.000 0.016 0.044 0.940
#> E69E45DA-66A6-438A-9BFC-5F1F7F5C5A87 3 0.6052 0.35195 0.000 0.064 0.616 0.320
#> 6E242DF5-8B8B-4C6F-870E-C7ADFFAFDF3E 2 0.6033 0.06152 0.000 0.620 0.316 0.064
#> CB7BBFF1-4BF3-42A9-85C6-680D91503799 2 0.4543 0.35676 0.000 0.676 0.324 0.000
#> 70AA4670-C75B-4E39-8958-3F9C29811871 3 0.5313 0.61148 0.000 0.376 0.608 0.016
#> D63C5178-4FF7-4FD0-B87E-6CBF6E7BEF5B 2 0.0469 0.73732 0.000 0.988 0.012 0.000
#> 814391F8-C5B9-43F6-A330-A6749BB8F16E 3 0.4713 0.61755 0.000 0.360 0.640 0.000
#> 146ED7EA-BF3C-4BAB-B33C-0A668AB13C80 3 0.5364 0.56388 0.000 0.392 0.592 0.016
#> FD5CAFE8-E669-406A-A505-A47DCDC32E93 4 0.4560 0.57430 0.000 0.004 0.296 0.700
#> 4B3C7910-A652-45B5-8218-9002EB0FD9EB 4 0.1474 0.75552 0.000 0.052 0.000 0.948
#> E410F77D-E31F-4D73-ACAC-9245935A92F5 4 0.0000 0.77977 0.000 0.000 0.000 1.000
#> 64336403-9037-480C-873A-67BC77119FA5 2 0.0188 0.73866 0.000 0.996 0.004 0.000
#> 6F9D5013-3B1B-41EE-85DB-E51F5D828DEF 4 0.2647 0.69950 0.000 0.120 0.000 0.880
#> 155AEBBD-1C12-4F88-90C7-1C7FF7E3FB2C 3 0.4454 0.64722 0.000 0.308 0.692 0.000
#> D28DDCAA-682C-451F-8327-D2C2AFB044E2 2 0.7210 -0.12598 0.000 0.540 0.276 0.184
#> 171523DC-2713-4EBF-A115-53A0BA174545 1 0.4790 0.70780 0.620 0.000 0.380 0.000
#> FD223304-87BA-4462-A5E5-01AB8C018C35 2 0.6221 0.39077 0.100 0.644 0.256 0.000
#> D8E06D8A-9063-4466-A3B0-7724F4737C7A 2 0.5604 -0.01704 0.020 0.504 0.476 0.000
#> FFA5FFF7-6301-4CD8-8E63-A4D8294D1B0E 4 0.0000 0.77977 0.000 0.000 0.000 1.000
#> AF3648D6-C774-48CC-9428-ADC00402A562 1 0.4643 0.71314 0.656 0.000 0.344 0.000
#> BD406B65-B715-444E-95B4-F38D05BAC863 2 0.4624 0.32172 0.000 0.660 0.340 0.000
#> 6DB67CA1-0BEB-4585-9867-40E7C8A96D55 2 0.4564 0.19962 0.000 0.672 0.328 0.000
#> 49C9DE1D-784D-405A-9DD3-C4D2890D0309 2 0.4049 0.57504 0.212 0.780 0.008 0.000
#> 05EC4D30-D34E-4497-B4F4-80AEDC2E70DF 1 0.0336 0.74271 0.992 0.000 0.008 0.000
#> CB69E76B-7CD3-49EF-9ADF-75701FE1D0A8 4 0.4564 0.55488 0.000 0.000 0.328 0.672
#> 103C6E25-A69A-460E-81C0-7437547E1334 2 0.0469 0.73770 0.000 0.988 0.012 0.000
#> 2D986DB0-B5A8-42E8-ACB8-926A16FAABD6 2 0.2589 0.65106 0.000 0.884 0.000 0.116
#> 1B9A0F24-8A3F-4693-B09C-5F0EFE5A32A5 1 0.4122 0.53053 0.760 0.236 0.004 0.000
#> C064D1FE-753E-4493-907C-C5FFE19F9875 2 0.0188 0.73857 0.000 0.996 0.004 0.000
#> 71596860-AEFA-4B94-8ADE-AC33CEA24DD4 2 0.0707 0.73559 0.000 0.980 0.020 0.000
#> E9A3A454-AB4D-4683-B276-84DA43792DBB 4 0.5151 0.22235 0.000 0.004 0.464 0.532
#> C5717869-8413-4810-A042-32E949AD3B0A 2 0.4624 0.32172 0.000 0.660 0.340 0.000
#> F36B393E-859C-49F8-BDF4-ED2CEF4C6307 3 0.5911 0.60807 0.000 0.372 0.584 0.044
#> 4CC9D3F9-983F-4CB2-91F1-0FBB86D53DC3 2 0.0657 0.73723 0.004 0.984 0.012 0.000
#> D450F074-CA68-49CE-B0B3-F81A91D54867 2 0.4624 0.32671 0.000 0.660 0.340 0.000
#> 2BBD504E-FE90-4142-9204-0E33B6B56C7E 4 0.5113 0.62912 0.000 0.088 0.152 0.760
#> 1A457CBF-24DA-44F1-B9ED-F26B8D1245D4 2 0.2814 0.65683 0.000 0.868 0.132 0.000
#> F29B5A39-866E-4C9D-BC26-B726FEA5F576 2 0.4692 0.56420 0.212 0.756 0.032 0.000
#> 89A4972A-8C91-4272-96BE-BCA9BC447780 2 0.4624 0.32172 0.000 0.660 0.340 0.000
#> 70B014FD-A0D0-418C-B55F-D09BAE213D52 2 0.0336 0.73858 0.000 0.992 0.008 0.000
#> 8139F417-0548-40B4-851F-A4E149A2E06A 1 0.4509 0.44516 0.708 0.288 0.004 0.000
#> 6E9F0021-FA91-4516-9B04-6A978034CECF 2 0.1297 0.73307 0.020 0.964 0.016 0.000
#> 49DAF1CD-8E20-433B-91A7-8C885ACB21A5 4 0.0000 0.77977 0.000 0.000 0.000 1.000
#> 093765A6-145C-47C3-B87B-4560CD632B4C 4 0.5679 0.39758 0.008 0.364 0.020 0.608
#> 90731001-45B2-4601-93F5-064BDD519A30 1 0.4643 0.71314 0.656 0.000 0.344 0.000
#> 40BCB65D-BC26-4FEF-941F-6F4A42D475EB 2 0.0927 0.73596 0.008 0.976 0.016 0.000
#> 204317C4-B927-4CAC-AADF-E16D19410ADB 2 0.3208 0.60043 0.000 0.848 0.004 0.148
#> 1023707A-D6DE-432A-AD2D-2318C3F91FA2 4 0.4746 0.39337 0.000 0.368 0.000 0.632
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#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 3 0.7293 0.49775 0.216 0.248 0.536 0.000
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.0188 0.73866 0.000 0.996 0.004 0.000
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.3219 0.58443 0.000 0.836 0.164 0.000
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 3 0.7514 0.60034 0.144 0.128 0.640 0.088
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.1798 0.71364 0.000 0.944 0.016 0.040
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 2 0.5038 0.42315 0.336 0.652 0.012 0.000
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 4 0.0000 0.77977 0.000 0.000 0.000 1.000
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 1 0.5940 0.45276 0.692 0.188 0.120 0.000
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.5137 0.42586 0.000 0.716 0.040 0.244
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 1 0.4843 0.70250 0.604 0.000 0.396 0.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 1 0.4679 0.71401 0.648 0.000 0.352 0.000
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 4 0.0000 0.77977 0.000 0.000 0.000 1.000
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 2 0.0188 0.73866 0.000 0.996 0.004 0.000
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.0376 0.73878 0.004 0.992 0.004 0.000
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 2 0.4817 0.18160 0.000 0.612 0.388 0.000
#> 343F031B-0095-429D-8212-AD0581DBB05B 3 0.4936 0.63455 0.000 0.340 0.652 0.008
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 4 0.0524 0.77696 0.000 0.004 0.008 0.988
#> 03A226C5-398D-41D2-BB72-C97A373CD512 1 0.4800 0.42161 0.656 0.004 0.340 0.000
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 2 0.1389 0.72393 0.000 0.952 0.048 0.000
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 4 0.4655 0.55932 0.000 0.004 0.312 0.684
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 2 0.3853 0.62362 0.160 0.820 0.020 0.000
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.0672 0.73898 0.008 0.984 0.008 0.000
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 3 0.4817 0.58756 0.000 0.388 0.612 0.000
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.0188 0.73866 0.000 0.996 0.004 0.000
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 1 0.4866 0.69927 0.596 0.000 0.404 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.1978 0.70889 0.928 0.068 0.004 0.000
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 1 0.4999 0.58781 0.508 0.000 0.492 0.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 3 0.6036 0.66744 0.000 0.292 0.636 0.072
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 1 0.4382 0.72279 0.704 0.000 0.296 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.0817 0.73339 0.000 0.976 0.024 0.000
#> FC7821F4-6495-4545-A22A-764BB99B3F79 2 0.4137 0.57885 0.208 0.780 0.012 0.000
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 4 0.0000 0.77977 0.000 0.000 0.000 1.000
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 3 0.4866 0.54158 0.000 0.404 0.596 0.000
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 3 0.6164 0.67526 0.000 0.264 0.644 0.092
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.0188 0.73866 0.000 0.996 0.004 0.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 4 0.0000 0.77977 0.000 0.000 0.000 1.000
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 2 0.5174 0.21663 0.000 0.620 0.368 0.012
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.0524 0.73915 0.004 0.988 0.008 0.000
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 1 0.4713 0.71204 0.640 0.000 0.360 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 4 0.0000 0.77977 0.000 0.000 0.000 1.000
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.4605 0.54192 0.000 0.796 0.072 0.132
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 3 0.5138 0.56048 0.008 0.392 0.600 0.000
#> BEE081CA-8420-4314-88A0-286BB30FFD65 2 0.6015 0.31264 0.000 0.652 0.268 0.080
#> C464CD1D-4519-48E8-A18A-403F691E5702 3 0.8749 0.20776 0.124 0.096 0.436 0.344
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.0592 0.74424 0.984 0.000 0.016 0.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 4 0.6121 0.46067 0.000 0.072 0.308 0.620
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0336 0.73820 0.000 0.992 0.008 0.000
#> A563359B-0D55-4826-9229-62A89143C1C6 2 0.3893 0.58910 0.196 0.796 0.008 0.000
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 1 0.4699 0.39581 0.676 0.320 0.004 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.0566 0.7108 0.000 0.984 0.004 0.012 0.000
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 4 0.6526 0.3161 0.000 0.212 0.324 0.464 0.000
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 5 0.0000 0.8079 0.000 0.000 0.000 0.000 1.000
#> 91202998-760F-4421-B1C4-18639962EDDA 4 0.3883 0.6021 0.004 0.016 0.216 0.764 0.000
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.1924 0.7012 0.000 0.924 0.004 0.064 0.008
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 5 0.4166 0.3056 0.000 0.004 0.000 0.348 0.648
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 5 0.0404 0.8023 0.000 0.000 0.000 0.012 0.988
#> 54337CE9-6F12-4712-8131-4B83F3216343 5 0.4437 0.1668 0.000 0.464 0.000 0.004 0.532
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 4 0.5082 0.5864 0.000 0.072 0.004 0.680 0.244
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 5 0.1121 0.7784 0.000 0.000 0.000 0.044 0.956
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 4 0.2457 0.7112 0.000 0.008 0.076 0.900 0.016
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.3242 0.6266 0.172 0.000 0.816 0.012 0.000
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 5 0.0000 0.8079 0.000 0.000 0.000 0.000 1.000
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 5 0.7150 0.3920 0.220 0.152 0.004 0.068 0.556
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.3707 0.7094 0.284 0.000 0.716 0.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.2597 0.6763 0.004 0.872 0.004 0.120 0.000
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.0693 0.6856 0.980 0.000 0.008 0.012 0.000
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 2 0.6301 0.3950 0.000 0.516 0.184 0.300 0.000
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 4 0.4668 0.5159 0.000 0.024 0.352 0.624 0.000
#> A08E2707-DDB0-40FE-828F-14720768FB05 2 0.2891 0.6154 0.176 0.824 0.000 0.000 0.000
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.0833 0.7124 0.004 0.976 0.016 0.004 0.000
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 5 0.0000 0.8079 0.000 0.000 0.000 0.000 1.000
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 2 0.6169 0.3106 0.124 0.508 0.004 0.364 0.000
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 3 0.8468 -0.2073 0.216 0.300 0.304 0.180 0.000
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 4 0.4155 0.5906 0.000 0.024 0.004 0.744 0.228
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 5 0.0000 0.8079 0.000 0.000 0.000 0.000 1.000
#> 1139D935-739E-4C42-BFCB-06021A85932E 5 0.0000 0.8079 0.000 0.000 0.000 0.000 1.000
#> 591C91F1-AA70-44DC-B721-0E781C333359 2 0.6312 0.4253 0.000 0.524 0.276 0.200 0.000
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.3990 0.6920 0.308 0.000 0.688 0.004 0.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.2672 0.6888 0.008 0.872 0.004 0.116 0.000
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 2 0.6234 0.4304 0.000 0.524 0.304 0.172 0.000
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 2 0.3748 0.6659 0.092 0.824 0.004 0.080 0.000
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.2806 0.6754 0.000 0.844 0.152 0.004 0.000
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.4225 0.2626 0.000 0.632 0.004 0.000 0.364
#> 2846A3AC-D102-4E37-9B72-139ED727157A 5 0.0000 0.8079 0.000 0.000 0.000 0.000 1.000
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.1798 0.7024 0.004 0.928 0.004 0.064 0.000
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 2 0.8225 0.2209 0.132 0.376 0.264 0.228 0.000
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 4 0.3241 0.6384 0.144 0.000 0.024 0.832 0.000
#> 150F5B77-4848-4D68-800A-0A0236C3661F 4 0.4088 0.4144 0.000 0.000 0.000 0.632 0.368
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 2 0.4921 0.3532 0.360 0.604 0.000 0.036 0.000
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 4 0.3085 0.6872 0.000 0.032 0.000 0.852 0.116
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.5383 0.3777 0.000 0.644 0.004 0.084 0.268
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 4 0.5749 0.5817 0.156 0.000 0.012 0.656 0.176
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 5 0.0162 0.8063 0.000 0.000 0.004 0.000 0.996
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.1412 0.7090 0.008 0.952 0.004 0.036 0.000
#> 1447B543-D3AC-41B5-878F-B382FE49421B 2 0.7965 0.3182 0.148 0.456 0.204 0.192 0.000
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 2 0.4600 0.6311 0.120 0.776 0.004 0.088 0.012
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 2 0.1430 0.7059 0.000 0.944 0.004 0.052 0.000
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.3774 0.7031 0.296 0.000 0.704 0.000 0.000
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 2 0.6193 0.4454 0.000 0.544 0.272 0.184 0.000
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 5 0.0000 0.8079 0.000 0.000 0.000 0.000 1.000
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.0566 0.6856 0.984 0.000 0.004 0.012 0.000
#> D9225689-21E0-478A-8F79-C26542938B8D 4 0.0898 0.7326 0.000 0.020 0.000 0.972 0.008
#> FC3BA46D-57F6-424C-8D62-16C441035969 5 0.4496 0.6113 0.000 0.092 0.000 0.156 0.752
#> 045CFFE6-4736-42F2-9340-C37690E47882 3 0.3636 0.7119 0.272 0.000 0.728 0.000 0.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 5 0.0000 0.8079 0.000 0.000 0.000 0.000 1.000
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 2 0.0324 0.7117 0.004 0.992 0.004 0.000 0.000
#> E94B217F-C5DC-4F42-8135-E81F338914B5 5 0.4530 0.3737 0.000 0.004 0.376 0.008 0.612
#> AE4C3956-76DF-4059-8D69-3D764F31817F 4 0.4086 0.5380 0.000 0.012 0.000 0.704 0.284
#> 33D6A38E-CD99-437B-99E0-04E72582F777 2 0.6422 0.3867 0.000 0.488 0.316 0.196 0.000
#> 8379051C-5847-42B5-AC5C-A128C166AB97 2 0.6728 0.2196 0.000 0.416 0.276 0.308 0.000
#> CBE6D9DB-F285-4EDD-ACF5-1E021EAF02BA 2 0.5232 0.5509 0.000 0.648 0.268 0.084 0.000
#> 40A16429-229E-4F40-BFC7-263554438F99 5 0.0000 0.8079 0.000 0.000 0.000 0.000 1.000
#> E5489AA2-1A97-44E6-B4CF-3A2D8405CFBF 4 0.2069 0.7221 0.000 0.012 0.000 0.912 0.076
#> B6EF4365-6A9E-46DF-96B6-733D5AD8B9A6 4 0.1498 0.7325 0.000 0.008 0.024 0.952 0.016
#> E83CB295-54C2-4318-AA0A-A8484D8A9385 2 0.8235 0.2241 0.184 0.392 0.260 0.164 0.000
#> AA49AC5D-9DC7-48F9-8498-DEB9A3F0E0D0 2 0.6785 0.1919 0.000 0.388 0.300 0.312 0.000
#> 116A5CF2-3848-4E90-BA7E-62B00BEFFF27 2 0.0955 0.7101 0.000 0.968 0.004 0.028 0.000
#> F792A65D-08A8-40CE-B7A6-ED1EE29AB356 2 0.6301 0.4181 0.000 0.516 0.300 0.184 0.000
#> C52A4BFA-E589-4974-91C3-5BCD1EECB970 4 0.3209 0.6456 0.000 0.008 0.000 0.812 0.180
#> E7F297C5-E11E-4603-84B5-F92A1F624C78 2 0.3732 0.6682 0.000 0.792 0.176 0.032 0.000
#> 053A0AFF-7912-4F18-B997-D2F20D91BBF0 2 0.1831 0.7020 0.000 0.920 0.076 0.004 0.000
#> A52DC94E-076D-42BE-9D5D-7FF928D6AE44 5 0.0404 0.8021 0.000 0.012 0.000 0.000 0.988
#> CA2AAD21-A3E0-401E-9B6B-323FA2BDAE0A 2 0.6569 0.3459 0.000 0.464 0.304 0.232 0.000
#> 8AF268B4-CBFB-40C1-9FA0-D822D9AF755F 2 0.2127 0.6689 0.108 0.892 0.000 0.000 0.000
#> D4B4CA20-D0EB-456B-8CAC-12651265C008 2 0.5793 0.4945 0.000 0.584 0.292 0.124 0.000
#> FDB47AC4-CE6A-428B-9B55-EBCEF1970ACB 5 0.2280 0.7028 0.000 0.000 0.000 0.120 0.880
#> 133B7E7B-FD50-48A2-9A35-E6D44FAB976B 5 0.3063 0.7215 0.000 0.036 0.004 0.096 0.864
#> E69E45DA-66A6-438A-9BFC-5F1F7F5C5A87 4 0.4724 0.6594 0.000 0.000 0.104 0.732 0.164
#> 6E242DF5-8B8B-4C6F-870E-C7ADFFAFDF3E 4 0.4323 0.5441 0.000 0.240 0.004 0.728 0.028
#> CB7BBFF1-4BF3-42A9-85C6-680D91503799 2 0.6573 0.3982 0.004 0.500 0.272 0.224 0.000
#> 70AA4670-C75B-4E39-8958-3F9C29811871 4 0.1041 0.7302 0.000 0.032 0.000 0.964 0.004
#> D63C5178-4FF7-4FD0-B87E-6CBF6E7BEF5B 2 0.1628 0.7061 0.000 0.936 0.008 0.056 0.000
#> 814391F8-C5B9-43F6-A330-A6749BB8F16E 4 0.0693 0.7286 0.000 0.012 0.008 0.980 0.000
#> 146ED7EA-BF3C-4BAB-B33C-0A668AB13C80 4 0.7208 0.4060 0.000 0.136 0.268 0.520 0.076
#> FD5CAFE8-E669-406A-A505-A47DCDC32E93 4 0.4390 0.3175 0.000 0.004 0.000 0.568 0.428
#> 4B3C7910-A652-45B5-8218-9002EB0FD9EB 5 0.2377 0.7104 0.000 0.128 0.000 0.000 0.872
#> E410F77D-E31F-4D73-ACAC-9245935A92F5 5 0.0000 0.8079 0.000 0.000 0.000 0.000 1.000
#> 64336403-9037-480C-873A-67BC77119FA5 2 0.0771 0.7116 0.000 0.976 0.020 0.004 0.000
#> 6F9D5013-3B1B-41EE-85DB-E51F5D828DEF 5 0.0451 0.8034 0.000 0.008 0.000 0.004 0.988
#> 155AEBBD-1C12-4F88-90C7-1C7FF7E3FB2C 4 0.4990 0.4476 0.000 0.036 0.384 0.580 0.000
#> D28DDCAA-682C-451F-8327-D2C2AFB044E2 4 0.6073 0.1471 0.000 0.436 0.004 0.456 0.104
#> 171523DC-2713-4EBF-A115-53A0BA174545 3 0.3612 0.7116 0.268 0.000 0.732 0.000 0.000
#> FD223304-87BA-4462-A5E5-01AB8C018C35 2 0.7734 0.3419 0.092 0.456 0.260 0.192 0.000
#> D8E06D8A-9063-4466-A3B0-7724F4737C7A 3 0.6618 -0.0835 0.008 0.312 0.492 0.188 0.000
#> FFA5FFF7-6301-4CD8-8E63-A4D8294D1B0E 5 0.0000 0.8079 0.000 0.000 0.000 0.000 1.000
#> AF3648D6-C774-48CC-9428-ADC00402A562 3 0.3730 0.7057 0.288 0.000 0.712 0.000 0.000
#> BD406B65-B715-444E-95B4-F38D05BAC863 2 0.7166 0.3558 0.032 0.464 0.296 0.208 0.000
#> 6DB67CA1-0BEB-4585-9867-40E7C8A96D55 4 0.3635 0.5432 0.000 0.248 0.004 0.748 0.000
#> 49C9DE1D-784D-405A-9DD3-C4D2890D0309 2 0.3527 0.5923 0.192 0.792 0.000 0.016 0.000
#> 05EC4D30-D34E-4497-B4F4-80AEDC2E70DF 1 0.0162 0.6778 0.996 0.000 0.004 0.000 0.000
#> CB69E76B-7CD3-49EF-9ADF-75701FE1D0A8 5 0.5118 0.0496 0.000 0.000 0.040 0.412 0.548
#> 103C6E25-A69A-460E-81C0-7437547E1334 2 0.2568 0.7042 0.012 0.900 0.064 0.024 0.000
#> 2D986DB0-B5A8-42E8-ACB8-926A16FAABD6 2 0.4033 0.5636 0.000 0.744 0.016 0.004 0.236
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#> 1B1C9301-D6D6-4F6B-80A3-3603013AA951 2 0.4275 0.5892 0.000 0.696 0.284 0.020 0.000
#> DDDCDF00-FB0A-477B-891B-2EE5E0C8F61E 3 0.3715 0.7112 0.260 0.000 0.736 0.004 0.000
#> 34A3260D-AC4D-416F-ADF0-24013048BC46 2 0.2463 0.6743 0.100 0.888 0.004 0.008 0.000
#> 671C1840-9C1B-4AC1-9564-78802489F763 1 0.0566 0.6856 0.984 0.000 0.004 0.012 0.000
#> BA4F7841-9FC3-4CE6-ACA5-43FC36641640 2 0.8238 0.2096 0.140 0.368 0.288 0.204 0.000
#> 24A02CE5-28E7-457E-8B90-4EACA528B072 1 0.3366 0.5036 0.768 0.232 0.000 0.000 0.000
#> C7008665-F6DE-48B4-A0E7-6C388B72C609 2 0.1282 0.7079 0.000 0.952 0.004 0.044 0.000
#> 50F984AB-95C1-4D7B-A787-418CBB59D165 2 0.6959 0.4479 0.052 0.536 0.268 0.144 0.000
#> 5FFD2A6A-ED8A-44A9-9FC1-3106341C284A 5 0.3636 0.5539 0.000 0.272 0.000 0.000 0.728
#> 7481630E-5CBA-4A4A-A16F-E327BCEE11D3 2 0.1569 0.7026 0.044 0.944 0.004 0.008 0.000
#> 7B3E6643-C148-4266-A3A3-80BAB713DD3E 2 0.0510 0.7109 0.000 0.984 0.016 0.000 0.000
#> BA8564FA-8D4D-4B2F-A178-63209F887A05 1 0.3336 0.3300 0.772 0.000 0.228 0.000 0.000
#> 2FB578F6-E8B7-434D-9720-D448A26C1EFD 2 0.4597 0.2483 0.424 0.564 0.000 0.012 0.000
#> F5EACB46-637E-45C2-9E7F-25E8C3136D27 2 0.1074 0.7095 0.016 0.968 0.004 0.012 0.000
#> 740FCE46-8A4A-4A6A-B79F-78A63D28E313 5 0.4268 0.2625 0.000 0.444 0.000 0.000 0.556
#> 523A5832-0C42-44A4-A58F-7011C3A567DC 3 0.3816 0.6981 0.304 0.000 0.696 0.000 0.000
#> A2C68C81-7371-4E0C-BFD1-EA868A7C9499 2 0.1571 0.7042 0.000 0.936 0.004 0.060 0.000
#> 2EB7025A-D932-4238-BD60-609B25150029 5 0.0000 0.8079 0.000 0.000 0.000 0.000 1.000
#> 95026ADE-1794-41F5-9A8D-CBF84B2D3C7A 5 0.4015 0.4601 0.000 0.348 0.000 0.000 0.652
#> 52A5B8B8-DB2F-4B76-B281-A115957A18A9 2 0.5613 0.0658 0.064 0.520 0.004 0.000 0.412
#> 9998FF12-E6C6-48E3-A2E8-C0673B6B7B7E 4 0.0963 0.7286 0.000 0.036 0.000 0.964 0.000
#> F081EA01-ED14-491B-9620-BF8F10A7431D 5 0.2439 0.7053 0.000 0.004 0.000 0.120 0.876
#> CABC6DE2-8AE2-455C-8C99-9B94CCDD24CB 2 0.0290 0.7109 0.000 0.992 0.008 0.000 0.000
#> 844C38CF-4A53-480B-AF5A-E26A7DC2D3BB 2 0.6275 0.4169 0.000 0.516 0.308 0.176 0.000
#> B54639CE-F721-4908-B758-309F148AD3C2 5 0.0000 0.8079 0.000 0.000 0.000 0.000 1.000
#> EB4294E1-3FBC-495C-A041-829A654B59C5 3 0.3913 0.6793 0.324 0.000 0.676 0.000 0.000
#> DB3618CD-EB63-44CE-8193-5F9DC564DB62 2 0.3613 0.6163 0.160 0.812 0.012 0.016 0.000
#> EBF3DBA0-0986-4593-BB30-174F2974E918 2 0.4809 0.3732 0.000 0.664 0.004 0.036 0.296
#> 538B5282-23C3-4B7C-A459-378D4043E2BE 2 0.4798 0.1071 0.472 0.512 0.012 0.004 0.000
#> FA7A4709-4A93-4B93-A212-BD46EE6F9E4E 2 0.1772 0.7086 0.000 0.940 0.008 0.032 0.020
#> BCDD18B8-2FBB-44A4-8E2B-394E955C8FB8 2 0.5881 0.2916 0.356 0.564 0.048 0.032 0.000
#> D34036E4-1122-42AE-B20F-F4C8515872A0 5 0.6132 0.4179 0.000 0.200 0.004 0.212 0.584
#> B0D09319-3BDA-494A-892A-150EBB4AA0D4 2 0.4823 0.5717 0.000 0.672 0.276 0.052 0.000
#> BD6C5D5D-85FE-4653-8276-F3BCDF0EBC2D 4 0.2508 0.6967 0.012 0.004 0.084 0.896 0.004
#> D74443E5-93D3-49C3-A72C-19A2CD9A6877 3 0.3491 0.6881 0.228 0.000 0.768 0.004 0.000
#> 3E4541B9-BD90-4B49-8973-B1516CBD8DE1 2 0.1892 0.6971 0.000 0.916 0.004 0.080 0.000
#> 90AD928D-3440-4EB8-8C29-CC7E6B764D08 2 0.4659 0.5553 0.000 0.744 0.004 0.084 0.168
#> F3C13430-405E-432E-8F3E-0DD18E86087E 2 0.7178 -0.2125 0.008 0.356 0.004 0.296 0.336
#> 43EDF662-2507-4B61-B706-B0730F603711 4 0.3477 0.6727 0.000 0.056 0.000 0.832 0.112
#> 395C4847-B428-4A4F-B02F-B5A90C6FB39B 4 0.1372 0.7222 0.024 0.016 0.004 0.956 0.000
#> 09E6AB09-E5D2-40F9-BF68-CA47E90BA2FE 2 0.0671 0.7106 0.000 0.980 0.016 0.004 0.000
#> E9C9F3ED-7A9F-4E55-9B60-0E3E3D94DD17 2 0.3562 0.6337 0.000 0.788 0.016 0.196 0.000
#> 72C03356-C7B9-4451-A5F8-B38EF8BC1BF1 4 0.1200 0.7312 0.000 0.016 0.012 0.964 0.008
#> BC833202-69AD-4BFF-8240-3097D447BBA2 2 0.2819 0.6837 0.000 0.884 0.004 0.060 0.052
#> 4265C8FC-8307-4FB7-B842-2B58D34DFC05 2 0.4061 0.5587 0.240 0.740 0.004 0.016 0.000
#> B6ABDBC3-519A-4FAC-8816-995A9482506E 5 0.0000 0.8079 0.000 0.000 0.000 0.000 1.000
#> CE9BF28C-C435-4A18-9454-6FFE3EB6655E 1 0.7023 0.2561 0.444 0.300 0.016 0.240 0.000
#> AF32DB39-BA14-4F0D-A3BE-F83A27B842FF 2 0.5897 0.4568 0.000 0.628 0.008 0.164 0.200
#> 05D1E1C5-7A59-4198-B921-E594F94646AA 3 0.3636 0.7110 0.272 0.000 0.728 0.000 0.000
#> ABCBC4B9-17AD-41AF-8AFB-A4BA4794D873 3 0.3895 0.6844 0.320 0.000 0.680 0.000 0.000
#> E6C74B82-B9D8-4D7C-96FB-50DFB80929D2 5 0.0000 0.8079 0.000 0.000 0.000 0.000 1.000
#> 3C525BB1-53CD-4AFA-9FFC-B801866C2526 2 0.1928 0.7034 0.004 0.920 0.072 0.004 0.000
#> FB9EAFDA-EBA0-497F-B37B-3EACD4A0C10F 2 0.1282 0.7088 0.004 0.952 0.000 0.044 0.000
#> 4BC7FC63-831B-4588-9AAD-4DDFFAE489DB 2 0.6905 0.2094 0.004 0.392 0.284 0.320 0.000
#> 343F031B-0095-429D-8212-AD0581DBB05B 4 0.0854 0.7304 0.000 0.004 0.012 0.976 0.008
#> 28B59600-E6F8-4AA7-B8F0-336C347DA0BA 5 0.1377 0.7874 0.000 0.020 0.004 0.020 0.956
#> 03A226C5-398D-41D2-BB72-C97A373CD512 3 0.8515 -0.1831 0.232 0.276 0.304 0.188 0.000
#> C567DD9D-C468-464D-A36C-95D4DFB8B91B 2 0.3421 0.6722 0.000 0.824 0.152 0.016 0.008
#> 5B60D612-3FB4-484C-98D1-1AB3E4246987 4 0.3274 0.6059 0.000 0.000 0.000 0.780 0.220
#> CB94D9CE-9EFC-4B95-9DDF-07E975BC65A8 2 0.3616 0.6595 0.116 0.828 0.004 0.052 0.000
#> F9F33C38-A087-49FF-B994-3C9EE264F448 2 0.0898 0.7091 0.020 0.972 0.000 0.008 0.000
#> 915EA4F5-3867-4071-9625-6601DC2CA3A7 4 0.0794 0.7291 0.000 0.028 0.000 0.972 0.000
#> 4A42393E-5CA0-49AE-8A6C-FE8541BB91CA 2 0.1216 0.7133 0.000 0.960 0.020 0.020 0.000
#> C25B7166-F8AF-44F2-AE53-E837971DBF37 3 0.3689 0.7102 0.256 0.000 0.740 0.004 0.000
#> 65B37014-F125-436A-AF3C-5A565AA990B8 1 0.2189 0.6456 0.904 0.084 0.000 0.012 0.000
#> 90CE5EF1-C8CB-4EB2-A504-D9378B6EC38D 3 0.5136 0.5279 0.116 0.000 0.688 0.196 0.000
#> A2DB0873-7925-45E4-8908-2192D6DB2BAA 4 0.0867 0.7322 0.000 0.008 0.008 0.976 0.008
#> EA98E453-EACA-4F4B-8631-C2A83CCFA8CC 3 0.4015 0.6546 0.348 0.000 0.652 0.000 0.000
#> CB39F036-FFB0-4A18-AE7D-B5CFE386B229 2 0.1928 0.6996 0.000 0.920 0.004 0.072 0.004
#> FC7821F4-6495-4545-A22A-764BB99B3F79 2 0.2597 0.6602 0.120 0.872 0.004 0.004 0.000
#> 598FCCC5-7FB4-4747-8E10-1038E50CCF2C 5 0.0162 0.8062 0.000 0.004 0.000 0.000 0.996
#> 713CE94A-6DE4-4A0C-9119-362F6A237DC5 4 0.5403 0.4913 0.000 0.108 0.248 0.644 0.000
#> 400F0C5E-95B8-4DFE-9068-9336BAB177FE 4 0.0671 0.7329 0.000 0.004 0.000 0.980 0.016
#> A7604E8E-148A-4429-A5D2-DDB474279CBB 2 0.0162 0.7108 0.000 0.996 0.004 0.000 0.000
#> E7A37263-DD1F-4EEE-A3BC-E36BE8B47E44 5 0.0162 0.8062 0.004 0.000 0.000 0.000 0.996
#> 842F2F3B-A6C1-40BF-9910-32D6C7A1FCD1 2 0.7934 0.3180 0.000 0.432 0.252 0.208 0.108
#> B12A5565-F8C2-4BEE-9E1D-5417FA82EFB0 2 0.0451 0.7107 0.004 0.988 0.000 0.008 0.000
#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.3741 0.7114 0.264 0.000 0.732 0.004 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 5 0.0000 0.8079 0.000 0.000 0.000 0.000 1.000
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.5741 0.4068 0.000 0.636 0.004 0.204 0.156
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 4 0.6415 0.3401 0.008 0.176 0.276 0.540 0.000
#> BEE081CA-8420-4314-88A0-286BB30FFD65 2 0.7687 0.4086 0.000 0.492 0.216 0.172 0.120
#> C464CD1D-4519-48E8-A18A-403F691E5702 4 0.1522 0.7334 0.000 0.012 0.000 0.944 0.044
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.0703 0.6656 0.976 0.000 0.024 0.000 0.000
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 4 0.4183 0.5041 0.000 0.008 0.000 0.668 0.324
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.1502 0.7048 0.000 0.940 0.004 0.056 0.000
#> A563359B-0D55-4826-9229-62A89143C1C6 2 0.3477 0.6320 0.140 0.828 0.008 0.024 0.000
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 2 0.4511 0.3843 0.356 0.628 0.000 0.016 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 995E5151-B5F9-4350-B52D-FBF3C14604EA 2 0.0260 0.84907 0.000 0.992 0.000 0.000 0.000 0.008
#> E766BB3A-0AF7-4560-A901-9C51AF02E171 6 0.2787 0.77332 0.004 0.016 0.012 0.068 0.016 0.884
#> 652ADF2D-5BE5-4098-B5AA-7B26498218F3 5 0.0000 0.87271 0.000 0.000 0.000 0.000 1.000 0.000
#> 91202998-760F-4421-B1C4-18639962EDDA 6 0.3244 0.58499 0.000 0.000 0.000 0.268 0.000 0.732
#> 8776C67F-6A1F-4CB9-9B41-E751F33B7585 2 0.0436 0.84881 0.000 0.988 0.000 0.004 0.004 0.004
#> BABD3051-9396-41D8-90EE-FB7CF30CE433 5 0.1492 0.84008 0.000 0.000 0.000 0.036 0.940 0.024
#> C1ED26FE-32F5-4A22-BAA7-E20DDF8164AB 5 0.0865 0.85368 0.000 0.000 0.000 0.000 0.964 0.036
#> 54337CE9-6F12-4712-8131-4B83F3216343 2 0.4299 0.55220 0.008 0.652 0.000 0.004 0.320 0.016
#> B43C9365-48E6-4B91-A55F-5E96E8619E0D 4 0.5607 0.36280 0.008 0.024 0.000 0.540 0.364 0.064
#> EA3DBF85-47CD-4F4B-AFA1-CCE06C3624B7 5 0.0458 0.86491 0.000 0.000 0.000 0.016 0.984 0.000
#> F67D6C61-7528-42E6-8DC6-8A413B8E1E8C 4 0.4296 0.38281 0.008 0.004 0.000 0.608 0.008 0.372
#> 784B2359-6064-4FAA-9311-7A852F061FBB 3 0.0713 0.90551 0.000 0.000 0.972 0.000 0.000 0.028
#> A3AD0C08-113F-438F-BF79-C50BAE47208F 5 0.0000 0.87271 0.000 0.000 0.000 0.000 1.000 0.000
#> 778DF4AF-CBB6-4995-A308-9128AE9B48D5 2 0.5220 0.68116 0.068 0.704 0.004 0.084 0.140 0.000
#> 2DC246B9-4C1A-48AE-B034-4927A5EAB3D2 3 0.0363 0.91724 0.012 0.000 0.988 0.000 0.000 0.000
#> F5B6E295-3AD4-4989-8359-E9235BAEFDD2 2 0.1082 0.84110 0.000 0.956 0.000 0.040 0.004 0.000
#> 69BF845D-B87F-41D6-8BC4-6086AB424EED 1 0.1615 0.85453 0.928 0.000 0.004 0.004 0.000 0.064
#> 99F20E85-385E-4CEF-A28B-80B57F76383F 6 0.5443 0.44374 0.008 0.336 0.000 0.076 0.012 0.568
#> 36089DC9-4619-45B2-AC81-B1441F22CDB6 6 0.4606 0.39972 0.000 0.000 0.052 0.344 0.000 0.604
#> A08E2707-DDB0-40FE-828F-14720768FB05 2 0.3718 0.74069 0.132 0.784 0.000 0.000 0.000 0.084
#> D7A50E95-777C-47A6-8F93-031CB4770633 2 0.2362 0.79778 0.004 0.860 0.000 0.000 0.000 0.136
#> 07065D72-BF19-4595-8EC7-EFB4253628FB 5 0.0000 0.87271 0.000 0.000 0.000 0.000 1.000 0.000
#> 37AD5315-4F64-4D93-B7C8-1DE89F0A47CD 2 0.4380 0.54724 0.024 0.652 0.000 0.312 0.000 0.012
#> 2944A69B-B197-44DA-9FED-726EF55D3B68 6 0.2728 0.76694 0.100 0.040 0.000 0.000 0.000 0.860
#> CDAD2037-1494-40C6-9529-4AF166E64C4D 4 0.3107 0.72019 0.000 0.116 0.000 0.832 0.052 0.000
#> ACB8D261-5332-45A0-AE67-BD159C73B1AF 5 0.0000 0.87271 0.000 0.000 0.000 0.000 1.000 0.000
#> 1139D935-739E-4C42-BFCB-06021A85932E 5 0.0260 0.86901 0.000 0.008 0.000 0.000 0.992 0.000
#> 591C91F1-AA70-44DC-B721-0E781C333359 6 0.2679 0.78950 0.000 0.096 0.004 0.032 0.000 0.868
#> CD2C6D85-3DE4-467A-BA99-75AE7E75D10D 3 0.0458 0.91568 0.016 0.000 0.984 0.000 0.000 0.000
#> 9E86CB5D-B5B1-42CF-B0AA-B6A6D7929912 2 0.1444 0.82980 0.000 0.928 0.000 0.072 0.000 0.000
#> DF994DDB-6D3F-405A-A39C-1DCF8D1694A7 6 0.2094 0.79465 0.004 0.044 0.020 0.004 0.008 0.920
#> A8F0A1FC-2FF8-4F30-9D14-AAD2788BD5C7 2 0.2549 0.81721 0.036 0.884 0.000 0.008 0.000 0.072
#> 989FE5C1-D8FA-411F-B7C3-EFE21F7808E9 2 0.3961 0.23303 0.004 0.556 0.000 0.000 0.000 0.440
#> 86E8E38A-1727-44A6-A356-5E973B296C5E 2 0.1387 0.82826 0.000 0.932 0.000 0.000 0.068 0.000
#> 2846A3AC-D102-4E37-9B72-139ED727157A 5 0.0146 0.87106 0.000 0.004 0.000 0.000 0.996 0.000
#> 75B60A5E-2D1A-48CF-B453-30C8450E4FEE 2 0.0508 0.84854 0.000 0.984 0.000 0.012 0.000 0.004
#> 92ED3CBE-A2CC-4E1E-A146-6042012F62FC 6 0.2147 0.78332 0.032 0.012 0.000 0.044 0.000 0.912
#> 111FA391-DACD-4D37-AE84-7BBC61AB6737 4 0.1615 0.76632 0.064 0.000 0.004 0.928 0.000 0.004
#> 150F5B77-4848-4D68-800A-0A0236C3661F 4 0.3189 0.65031 0.000 0.004 0.000 0.760 0.236 0.000
#> 7FC98D15-943B-4F6D-AC31-4FEEA757E565 2 0.5688 0.17697 0.384 0.472 0.000 0.004 0.000 0.140
#> 5EB6EBE3-1BDF-4279-B778-CEA546AE9AAA 4 0.1196 0.78589 0.000 0.040 0.000 0.952 0.008 0.000
#> A179B59A-EECC-4692-B008-5117800D7C8B 2 0.2350 0.81059 0.000 0.888 0.000 0.076 0.036 0.000
#> 7A538884-3E1A-4AF2-B237-A792267E1B19 4 0.3428 0.68817 0.152 0.000 0.000 0.808 0.016 0.024
#> B655AE01-40E6-4B03-AB9F-CF04130C96EB 5 0.1858 0.81103 0.000 0.000 0.092 0.004 0.904 0.000
#> 494E0F88-DBFC-4E3C-AFFA-CEFADF152B15 2 0.0146 0.84854 0.000 0.996 0.000 0.000 0.000 0.004
#> 1447B543-D3AC-41B5-878F-B382FE49421B 6 0.3439 0.77759 0.080 0.068 0.000 0.020 0.000 0.832
#> 990A1CE1-C0A8-4670-A233-887EF4AADC0F 2 0.1124 0.84322 0.008 0.956 0.000 0.036 0.000 0.000
#> E087DE6C-04A1-451F-91D1-E9D7F279D37C 2 0.0405 0.84928 0.000 0.988 0.000 0.004 0.000 0.008
#> A4790FA7-9A3C-4FC9-AA47-0D9610866529 3 0.0146 0.91872 0.000 0.000 0.996 0.000 0.000 0.004
#> C7138A9E-B9ED-471A-98E2-D80C54306AA6 6 0.1858 0.78859 0.004 0.092 0.000 0.000 0.000 0.904
#> 05E6196A-E0CA-4E09-9F78-A141C4111B38 5 0.0000 0.87271 0.000 0.000 0.000 0.000 1.000 0.000
#> B74336E6-8E1C-4177-9A1F-23AA1FD65F0D 1 0.1788 0.85611 0.928 0.004 0.012 0.004 0.000 0.052
#> D9225689-21E0-478A-8F79-C26542938B8D 4 0.0909 0.79266 0.000 0.012 0.000 0.968 0.000 0.020
#> FC3BA46D-57F6-424C-8D62-16C441035969 5 0.3567 0.72497 0.004 0.064 0.000 0.116 0.812 0.004
#> 045CFFE6-4736-42F2-9340-C37690E47882 3 0.0000 0.91890 0.000 0.000 1.000 0.000 0.000 0.000
#> 4FE5C8E3-D1CF-4FA7-8C8A-47288D74D715 5 0.0000 0.87271 0.000 0.000 0.000 0.000 1.000 0.000
#> D54A9DD2-658C-45F2-88E4-C85008CCF043 2 0.1444 0.83661 0.000 0.928 0.000 0.000 0.000 0.072
#> E94B217F-C5DC-4F42-8135-E81F338914B5 5 0.3433 0.74776 0.004 0.004 0.120 0.000 0.820 0.052
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#> B9C89BD1-F993-4A5E-BEA3-2638D0884696 3 0.0000 0.91890 0.000 0.000 1.000 0.000 0.000 0.000
#> 05252A5D-71D9-4A76-AFA5-4CDD22A802A7 5 0.0146 0.87171 0.000 0.000 0.000 0.004 0.996 0.000
#> ADF3C1B2-7562-4207-B7D0-2187E2AA66F1 2 0.2734 0.79684 0.008 0.864 0.000 0.104 0.024 0.000
#> 196281BD-2C05-46D3-A53C-EAD8639EF02D 6 0.2398 0.77175 0.000 0.020 0.000 0.104 0.000 0.876
#> BEE081CA-8420-4314-88A0-286BB30FFD65 6 0.4389 0.65846 0.000 0.084 0.000 0.012 0.168 0.736
#> C464CD1D-4519-48E8-A18A-403F691E5702 4 0.0603 0.79091 0.000 0.016 0.000 0.980 0.000 0.004
#> 907A9FD4-BABF-4219-B99B-60B5F3665501 1 0.1391 0.83194 0.944 0.000 0.040 0.000 0.000 0.016
#> C70E9173-BC6A-4488-94E6-8990E54B61EF 4 0.4350 0.55995 0.000 0.048 0.000 0.660 0.292 0.000
#> 48FA0551-1FB3-49C0-9421-524D8A86B153 2 0.0146 0.84811 0.000 0.996 0.000 0.004 0.000 0.000
#> A563359B-0D55-4826-9229-62A89143C1C6 2 0.3534 0.75479 0.076 0.800 0.000 0.000 0.000 0.124
#> A9CF384D-8C0B-40BE-A613-B9B968EBE367 2 0.4513 0.53517 0.312 0.640 0.000 0.004 0.000 0.044
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