Date: 2019-12-26 01:41:26 CET, cola version: 1.3.2
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All available functions which can be applied to this res_list object:
res_list
#> A 'ConsensusPartitionList' object with 24 methods.
#> On a matrix with 17397 rows and 500 columns.
#> Top rows are extracted by 'SD, CV, MAD, ATC' methods.
#> Subgroups are detected by 'hclust, kmeans, skmeans, pam, mclust, NMF' method.
#> Number of partitions are tried for k = 2, 3, 4, 5, 6.
#> Performed in total 30000 partitions by row resampling.
#>
#> Following methods can be applied to this 'ConsensusPartitionList' object:
#> [1] "cola_report" "collect_classes" "collect_plots" "collect_stats"
#> [5] "colnames" "functional_enrichment" "get_anno_col" "get_anno"
#> [9] "get_classes" "get_matrix" "get_membership" "get_stats"
#> [13] "is_best_k" "is_stable_k" "ncol" "nrow"
#> [17] "rownames" "show" "suggest_best_k" "test_to_known_factors"
#> [21] "top_rows_heatmap" "top_rows_overlap"
#>
#> You can get result for a single method by, e.g. object["SD", "hclust"] or object["SD:hclust"]
#> or a subset of methods by object[c("SD", "CV")], c("hclust", "kmeans")]
The call of run_all_consensus_partition_methods() was:
#> run_all_consensus_partition_methods(data = mat, mc.cores = 4)
Dimension of the input matrix:
mat = get_matrix(res_list)
dim(mat)
#> [1] 17397 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 | ||
|---|---|---|---|---|---|
| ATC:kmeans | 2 | 1.000 | 0.986 | 0.994 | ** |
| ATC:skmeans | 2 | 1.000 | 0.968 | 0.987 | ** |
| SD:skmeans | 2 | 1.000 | 0.960 | 0.984 | ** |
| MAD:skmeans | 2 | 0.971 | 0.961 | 0.984 | ** |
| ATC:pam | 2 | 0.946 | 0.923 | 0.970 | * |
| SD:NMF | 3 | 0.858 | 0.882 | 0.952 | |
| CV:skmeans | 2 | 0.835 | 0.921 | 0.965 | |
| CV:NMF | 2 | 0.798 | 0.878 | 0.951 | |
| SD:kmeans | 3 | 0.769 | 0.858 | 0.920 | |
| MAD:NMF | 2 | 0.764 | 0.875 | 0.948 | |
| ATC:mclust | 4 | 0.676 | 0.779 | 0.904 | |
| ATC:NMF | 3 | 0.668 | 0.808 | 0.912 | |
| MAD:pam | 6 | 0.656 | 0.594 | 0.798 | |
| SD:pam | 6 | 0.653 | 0.631 | 0.820 | |
| MAD:kmeans | 2 | 0.622 | 0.859 | 0.919 | |
| CV:kmeans | 3 | 0.578 | 0.827 | 0.889 | |
| CV:mclust | 3 | 0.553 | 0.790 | 0.889 | |
| CV:pam | 2 | 0.517 | 0.838 | 0.917 | |
| SD:mclust | 4 | 0.479 | 0.690 | 0.792 | |
| MAD:mclust | 4 | 0.435 | 0.597 | 0.690 | |
| ATC:hclust | 2 | 0.403 | 0.805 | 0.892 | |
| CV:hclust | 3 | 0.343 | 0.699 | 0.841 | |
| SD:hclust | 3 | 0.226 | 0.734 | 0.798 | |
| MAD:hclust | 3 | 0.159 | 0.668 | 0.750 |
**: 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 0.769 0.881 0.951 0.468 0.536 0.536
#> CV:NMF 2 0.798 0.878 0.951 0.498 0.499 0.499
#> MAD:NMF 2 0.764 0.875 0.948 0.470 0.531 0.531
#> ATC:NMF 2 0.898 0.924 0.969 0.262 0.742 0.742
#> SD:skmeans 2 1.000 0.960 0.984 0.501 0.499 0.499
#> CV:skmeans 2 0.835 0.921 0.965 0.500 0.499 0.499
#> MAD:skmeans 2 0.971 0.961 0.984 0.501 0.499 0.499
#> ATC:skmeans 2 1.000 0.968 0.987 0.490 0.510 0.510
#> SD:mclust 2 0.620 0.856 0.915 0.336 0.694 0.694
#> CV:mclust 2 0.300 0.706 0.860 0.465 0.554 0.554
#> MAD:mclust 2 0.577 0.863 0.917 0.341 0.684 0.684
#> ATC:mclust 2 0.430 0.626 0.843 0.350 0.742 0.742
#> SD:kmeans 2 0.521 0.854 0.906 0.458 0.500 0.500
#> CV:kmeans 2 0.356 0.669 0.817 0.402 0.549 0.549
#> MAD:kmeans 2 0.622 0.859 0.919 0.473 0.501 0.501
#> ATC:kmeans 2 1.000 0.986 0.994 0.449 0.552 0.552
#> SD:pam 2 0.288 0.648 0.772 0.489 0.505 0.505
#> CV:pam 2 0.517 0.838 0.917 0.462 0.536 0.536
#> MAD:pam 2 0.372 0.534 0.757 0.484 0.519 0.519
#> ATC:pam 2 0.946 0.923 0.970 0.416 0.596 0.596
#> SD:hclust 2 0.380 0.807 0.892 0.293 0.753 0.753
#> CV:hclust 2 0.633 0.863 0.934 0.210 0.866 0.866
#> MAD:hclust 2 0.206 0.806 0.863 0.318 0.750 0.750
#> ATC:hclust 2 0.403 0.805 0.892 0.429 0.554 0.554
get_stats(res_list, k = 3)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 3 0.858 0.882 0.952 0.316 0.683 0.488
#> CV:NMF 3 0.612 0.748 0.834 0.272 0.789 0.612
#> MAD:NMF 3 0.730 0.834 0.928 0.316 0.704 0.510
#> ATC:NMF 3 0.668 0.808 0.912 1.238 0.620 0.503
#> SD:skmeans 3 0.830 0.876 0.944 0.306 0.767 0.569
#> CV:skmeans 3 0.700 0.855 0.926 0.322 0.693 0.464
#> MAD:skmeans 3 0.605 0.744 0.867 0.308 0.790 0.604
#> ATC:skmeans 3 0.823 0.877 0.939 0.342 0.793 0.609
#> SD:mclust 3 0.421 0.440 0.683 0.684 0.649 0.503
#> CV:mclust 3 0.553 0.790 0.889 0.349 0.663 0.462
#> MAD:mclust 3 0.333 0.560 0.739 0.679 0.657 0.522
#> ATC:mclust 3 0.670 0.840 0.897 0.642 0.598 0.492
#> SD:kmeans 3 0.769 0.858 0.920 0.328 0.777 0.597
#> CV:kmeans 3 0.578 0.827 0.889 0.386 0.583 0.414
#> MAD:kmeans 3 0.516 0.816 0.870 0.287 0.806 0.642
#> ATC:kmeans 3 0.775 0.853 0.917 0.395 0.683 0.488
#> SD:pam 3 0.426 0.673 0.815 0.212 0.836 0.695
#> CV:pam 3 0.529 0.757 0.876 0.215 0.892 0.801
#> MAD:pam 3 0.347 0.335 0.706 0.269 0.628 0.411
#> ATC:pam 3 0.731 0.840 0.923 0.506 0.734 0.566
#> SD:hclust 3 0.226 0.734 0.798 0.433 0.951 0.936
#> CV:hclust 3 0.343 0.699 0.841 1.017 0.704 0.658
#> MAD:hclust 3 0.159 0.668 0.750 0.468 0.953 0.938
#> ATC:hclust 3 0.351 0.474 0.765 0.422 0.633 0.432
get_stats(res_list, k = 4)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 4 0.513 0.525 0.746 0.1794 0.760 0.464
#> CV:NMF 4 0.827 0.846 0.936 0.1408 0.750 0.447
#> MAD:NMF 4 0.575 0.587 0.780 0.1680 0.807 0.551
#> ATC:NMF 4 0.522 0.601 0.783 0.1651 0.789 0.544
#> SD:skmeans 4 0.642 0.708 0.845 0.1421 0.850 0.602
#> CV:skmeans 4 0.880 0.873 0.942 0.1252 0.832 0.561
#> MAD:skmeans 4 0.576 0.293 0.619 0.1272 0.758 0.431
#> ATC:skmeans 4 0.857 0.902 0.937 0.0748 0.876 0.673
#> SD:mclust 4 0.479 0.690 0.792 0.1850 0.829 0.613
#> CV:mclust 4 0.649 0.746 0.872 0.0410 0.906 0.772
#> MAD:mclust 4 0.435 0.597 0.690 0.1841 0.823 0.620
#> ATC:mclust 4 0.676 0.779 0.904 0.1739 0.685 0.419
#> SD:kmeans 4 0.565 0.645 0.793 0.1659 0.822 0.573
#> CV:kmeans 4 0.659 0.749 0.845 0.2169 0.745 0.494
#> MAD:kmeans 4 0.512 0.518 0.758 0.1671 0.880 0.704
#> ATC:kmeans 4 0.600 0.691 0.792 0.1292 0.750 0.439
#> SD:pam 4 0.474 0.585 0.749 0.1213 0.901 0.773
#> CV:pam 4 0.541 0.720 0.837 0.1676 0.801 0.593
#> MAD:pam 4 0.401 0.529 0.741 0.1076 0.713 0.398
#> ATC:pam 4 0.747 0.704 0.860 0.0974 0.911 0.770
#> SD:hclust 4 0.202 0.483 0.678 0.3510 0.944 0.923
#> CV:hclust 4 0.304 0.742 0.833 0.2528 0.933 0.883
#> MAD:hclust 4 0.176 0.379 0.663 0.2692 0.774 0.689
#> ATC:hclust 4 0.419 0.633 0.748 0.1305 0.787 0.517
get_stats(res_list, k = 5)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 5 0.730 0.696 0.864 0.0822 0.813 0.441
#> CV:NMF 5 0.834 0.811 0.916 0.0801 0.846 0.528
#> MAD:NMF 5 0.659 0.685 0.832 0.0842 0.814 0.459
#> ATC:NMF 5 0.553 0.580 0.779 0.1024 0.874 0.630
#> SD:skmeans 5 0.702 0.567 0.770 0.0619 0.866 0.554
#> CV:skmeans 5 0.794 0.745 0.881 0.0666 0.898 0.638
#> MAD:skmeans 5 0.617 0.473 0.691 0.0717 0.800 0.401
#> ATC:skmeans 5 0.796 0.770 0.886 0.0605 0.889 0.656
#> SD:mclust 5 0.470 0.423 0.665 0.0776 0.836 0.575
#> CV:mclust 5 0.589 0.662 0.813 0.0716 0.933 0.825
#> MAD:mclust 5 0.493 0.507 0.741 0.0512 0.840 0.597
#> ATC:mclust 5 0.644 0.706 0.837 0.0718 0.869 0.646
#> SD:kmeans 5 0.629 0.577 0.767 0.0877 0.875 0.617
#> CV:kmeans 5 0.710 0.763 0.840 0.0936 0.955 0.853
#> MAD:kmeans 5 0.540 0.377 0.661 0.0866 0.901 0.694
#> ATC:kmeans 5 0.670 0.683 0.761 0.0811 0.915 0.720
#> SD:pam 5 0.584 0.604 0.794 0.1086 0.795 0.505
#> CV:pam 5 0.537 0.502 0.670 0.0989 0.800 0.514
#> MAD:pam 5 0.553 0.557 0.783 0.1019 0.819 0.492
#> ATC:pam 5 0.747 0.790 0.881 0.0674 0.901 0.709
#> SD:hclust 5 0.229 0.402 0.624 0.1591 0.710 0.570
#> CV:hclust 5 0.359 0.579 0.779 0.1685 0.961 0.925
#> MAD:hclust 5 0.210 0.364 0.633 0.1203 0.876 0.763
#> ATC:hclust 5 0.489 0.647 0.736 0.0745 0.950 0.836
get_stats(res_list, k = 6)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 6 0.725 0.611 0.776 0.0484 0.900 0.589
#> CV:NMF 6 0.775 0.719 0.839 0.0517 0.897 0.589
#> MAD:NMF 6 0.643 0.502 0.679 0.0443 0.919 0.662
#> ATC:NMF 6 0.602 0.552 0.762 0.0636 0.836 0.464
#> SD:skmeans 6 0.708 0.595 0.783 0.0403 0.908 0.615
#> CV:skmeans 6 0.788 0.712 0.840 0.0370 0.944 0.745
#> MAD:skmeans 6 0.708 0.605 0.768 0.0429 0.890 0.555
#> ATC:skmeans 6 0.693 0.538 0.722 0.0547 0.905 0.653
#> SD:mclust 6 0.551 0.493 0.715 0.0596 0.794 0.403
#> CV:mclust 6 0.570 0.601 0.751 0.0354 0.931 0.801
#> MAD:mclust 6 0.583 0.648 0.773 0.0653 0.822 0.484
#> ATC:mclust 6 0.641 0.668 0.808 0.0569 0.930 0.765
#> SD:kmeans 6 0.686 0.530 0.694 0.0512 0.896 0.631
#> CV:kmeans 6 0.735 0.683 0.783 0.0647 0.883 0.621
#> MAD:kmeans 6 0.605 0.472 0.649 0.0524 0.835 0.445
#> ATC:kmeans 6 0.707 0.699 0.820 0.0580 0.886 0.588
#> SD:pam 6 0.653 0.631 0.820 0.0718 0.880 0.585
#> CV:pam 6 0.662 0.739 0.864 0.0707 0.895 0.656
#> MAD:pam 6 0.656 0.594 0.798 0.0698 0.850 0.487
#> ATC:pam 6 0.676 0.684 0.831 0.0468 0.969 0.884
#> SD:hclust 6 0.301 0.358 0.602 0.0991 0.889 0.730
#> CV:hclust 6 0.387 0.500 0.715 0.0864 0.918 0.831
#> MAD:hclust 6 0.260 0.432 0.626 0.0586 0.842 0.638
#> ATC:hclust 6 0.548 0.595 0.746 0.0395 0.956 0.841
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 17397 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 0.380 0.807 0.892 0.2932 0.753 0.753
#> 3 3 0.226 0.734 0.798 0.4329 0.951 0.936
#> 4 4 0.202 0.483 0.678 0.3510 0.944 0.923
#> 5 5 0.229 0.402 0.624 0.1591 0.710 0.570
#> 6 6 0.301 0.358 0.602 0.0991 0.889 0.730
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
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 2 0.2043 0.7773 0.032 0.968
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.1843 0.8954 0.972 0.028
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 1 0.1184 0.8973 0.984 0.016
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.0938 0.8956 0.988 0.012
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.0672 0.8946 0.992 0.008
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.0672 0.8933 0.992 0.008
#> 966A3A03-3879-4816-A1E9-D805F6018836 1 0.6343 0.8205 0.840 0.160
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 1 0.4298 0.8817 0.912 0.088
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.0672 0.8919 0.992 0.008
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 1 0.1633 0.8994 0.976 0.024
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 1 0.1414 0.8965 0.980 0.020
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 1 0.6801 0.7995 0.820 0.180
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.0672 0.8919 0.992 0.008
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 1 0.1184 0.8973 0.984 0.016
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.0672 0.8919 0.992 0.008
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 2 0.6531 0.8419 0.168 0.832
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 1 0.2236 0.8995 0.964 0.036
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 1 0.1843 0.8965 0.972 0.028
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.0672 0.8946 0.992 0.008
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.0672 0.8951 0.992 0.008
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 1 0.2778 0.8962 0.952 0.048
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#> 956357FB-9AB3-497C-BB55-9D15B486A422 1 0.0672 0.8919 0.992 0.008
#> C8F2BAD0-7124-46BF-975C-4B44BE980F93 1 0.0376 0.8929 0.996 0.004
#> E96AE267-3E23-4EA9-93E2-D92558155A17 2 0.5294 0.8002 0.120 0.880
#> 1C8DCA5B-965B-485A-83B6-5CBEB2117E47 1 0.3733 0.8908 0.928 0.072
#> DEAB79F5-336A-49B4-8046-AEE2F567FE46 1 0.3114 0.8860 0.944 0.056
#> 767FE89E-E19F-4F56-A744-CB3C5CCC085B 1 0.2603 0.8963 0.956 0.044
#> 7B0BF632-79E5-46B5-AAC8-4A6D5A193449 2 0.6531 0.8419 0.168 0.832
#> 9A281EDE-FF96-4E66-AEF4-692BDFA8E99D 1 0.4562 0.8766 0.904 0.096
#> B8C2D019-00C9-4E1E-8383-4FE2FFB4D2D7 2 0.3274 0.7896 0.060 0.940
#> 39A9B95F-186B-4550-9271-001151B1A626 1 0.6343 0.8203 0.840 0.160
#> CAD6E491-88FB-4221-90E9-AC9C68AECCB0 1 0.2043 0.8973 0.968 0.032
#> 15EFBC5B-C713-4718-BB6F-0EBBE4D6997F 1 0.2603 0.8963 0.956 0.044
#> BBA00038-09B1-461D-9F8E-484890B0D130 1 0.4690 0.8731 0.900 0.100
#> 16EBB885-A692-42A6-9027-F6AD769E0ABB 1 0.1633 0.8978 0.976 0.024
#> 2D57E24B-97A6-4B85-BC8F-3E02DDC6C460 1 0.8144 0.6804 0.748 0.252
#> C6E39F86-9DEF-4BCA-930B-2A3993D18901 1 0.4690 0.8733 0.900 0.100
#> 5BE4D8E9-DA18-426F-8AE6-075B15010390 1 0.0376 0.8926 0.996 0.004
#> 8E9CAAC7-31D3-473C-821C-2DAD37B44D3A 1 0.5842 0.8403 0.860 0.140
#> 368CFCA3-7BAB-4D6D-9AE1-55713A9965C1 1 0.9998 -0.1909 0.508 0.492
#> 14DB79EF-DE2B-4197-AD32-F657E0655FCD 1 0.1843 0.8974 0.972 0.028
#> E73BCFCB-C5FE-4BF2-A236-B9E69711C121 1 0.2043 0.8973 0.968 0.032
#> CDAFAFEA-365B-4F25-AEC0-639B6E0CB626 1 0.1414 0.8977 0.980 0.020
#> 48A2AAEB-7F60-4284-808E-2058A531B17C 1 0.5408 0.8559 0.876 0.124
#> D4276C6F-9F0F-4F74-A85E-1E54272ADDED 1 0.6438 0.8138 0.836 0.164
#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 1 0.3584 0.8927 0.932 0.068
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 1 0.5519 0.8567 0.872 0.128
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 1 0.9944 -0.0107 0.544 0.456
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 1 0.0376 0.8929 0.996 0.004
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 1 0.9775 0.1469 0.588 0.412
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 1 0.2603 0.8978 0.956 0.044
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 1 0.0376 0.8926 0.996 0.004
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 1 0.0938 0.8953 0.988 0.012
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 1 0.5294 0.8559 0.880 0.120
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 1 0.3879 0.8878 0.924 0.076
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 1 0.5408 0.8567 0.876 0.124
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 1 0.1633 0.8982 0.976 0.024
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 1 0.4431 0.8804 0.908 0.092
#> C7997523-47CF-40F0-8803-AB873E38033C 1 0.6887 0.7633 0.816 0.184
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 1 0.9358 0.4459 0.648 0.352
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 2 0.6531 0.8419 0.168 0.832
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 1 1.0000 -0.1677 0.504 0.496
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 1 0.0376 0.8929 0.996 0.004
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 1 0.5842 0.8441 0.860 0.140
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 1 0.1843 0.8974 0.972 0.028
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 2 0.9661 0.5314 0.392 0.608
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 1 0.3879 0.8880 0.924 0.076
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 1 0.0376 0.8926 0.996 0.004
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.0672 0.8951 0.992 0.008
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 1 0.4690 0.8694 0.900 0.100
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 1 0.3114 0.8872 0.944 0.056
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 1 0.9754 0.2019 0.592 0.408
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 2 0.8081 0.7954 0.248 0.752
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 1 0.7139 0.7764 0.804 0.196
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 1 0.6343 0.8243 0.840 0.160
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.0376 0.8929 0.996 0.004
#> E15EAAB4-0860-4716-9922-667F604CDF12 1 0.1633 0.8987 0.976 0.024
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 1 0.9522 0.3135 0.628 0.372
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 1 0.1414 0.8977 0.980 0.020
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 1 0.9000 0.4887 0.684 0.316
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.0672 0.8951 0.992 0.008
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 1 0.5842 0.8407 0.860 0.140
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 1 0.5178 0.8628 0.884 0.116
#> E2A4C651-977F-4F40-B5EC-46DF75944141 1 0.0672 0.8919 0.992 0.008
#> 433599CC-9DF5-4494-A607-8079FFE74D95 1 0.4690 0.8747 0.900 0.100
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 1 0.9815 0.1003 0.580 0.420
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 2 0.7528 0.8266 0.216 0.784
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.0672 0.8951 0.992 0.008
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 1 0.2778 0.8972 0.952 0.048
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 1 0.2603 0.8906 0.956 0.044
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 2 0.2043 0.7773 0.032 0.968
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 2 0.7528 0.8266 0.216 0.784
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 2 0.7453 0.8286 0.212 0.788
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 1 0.5519 0.8536 0.872 0.128
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 1 0.2778 0.8961 0.952 0.048
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 1 0.7453 0.7523 0.788 0.212
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.0672 0.8919 0.992 0.008
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 2 0.6531 0.8419 0.168 0.832
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.0672 0.8953 0.992 0.008
#> 057B580C-13FD-4185-943C-9DD5266B8554 1 0.2603 0.8979 0.956 0.044
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 1 0.2423 0.8988 0.960 0.040
#> 287F3696-25CF-4E67-A934-E50856AD4790 1 0.8081 0.6884 0.752 0.248
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 1 0.4815 0.8717 0.896 0.104
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 1 0.2043 0.8989 0.968 0.032
#> B80A74AB-A264-4396-93F8-FD976DBC1456 2 0.7453 0.8286 0.212 0.788
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 1 0.6343 0.8243 0.840 0.160
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.1633 0.8979 0.976 0.024
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.0938 0.8961 0.988 0.012
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 1 0.2778 0.8955 0.952 0.048
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 2 0.9000 0.7192 0.316 0.684
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 1 0.3584 0.8935 0.932 0.068
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.0672 0.8919 0.992 0.008
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 1 0.1633 0.8968 0.976 0.024
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 1 0.5946 0.8367 0.856 0.144
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.1633 0.8979 0.976 0.024
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 1 0.3879 0.8880 0.924 0.076
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 1 0.9909 0.0391 0.556 0.444
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 1 0.1843 0.8974 0.972 0.028
#> DD292494-92A2-43CB-B59B-726B2F429B29 1 0.2423 0.8990 0.960 0.040
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.1633 0.8978 0.976 0.024
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 1 0.1843 0.8993 0.972 0.028
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 1 0.4562 0.8774 0.904 0.096
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 1 0.4815 0.8685 0.896 0.104
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 1 0.0938 0.8962 0.988 0.012
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 1.0000 -0.1677 0.504 0.496
#> 74CF740D-201D-4070-99B9-F007E7C4D472 1 0.9775 0.1493 0.588 0.412
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 2 0.9998 0.2836 0.492 0.508
#> 78F28873-E471-497A-9405-FB8955808599 2 0.9286 0.6680 0.344 0.656
#> 29294D9A-434B-4581-9591-63D16107C7B1 1 0.6531 0.8114 0.832 0.168
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 1 0.5178 0.8631 0.884 0.116
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 1 0.2603 0.8964 0.956 0.044
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 2 0.525 0.4928 0.000 0.736 0.264
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.452 0.7989 0.816 0.180 0.004
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 1 0.375 0.8359 0.884 0.096 0.020
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.416 0.8135 0.848 0.144 0.008
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.327 0.8280 0.892 0.104 0.004
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.303 0.8315 0.904 0.092 0.004
#> 966A3A03-3879-4816-A1E9-D805F6018836 1 0.603 0.7472 0.752 0.036 0.212
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 1 0.500 0.8010 0.820 0.028 0.152
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.375 0.8178 0.872 0.120 0.008
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 1 0.377 0.8473 0.888 0.084 0.028
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 1 0.268 0.8420 0.932 0.040 0.028
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 1 0.641 0.7048 0.716 0.036 0.248
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.329 0.8297 0.900 0.088 0.012
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 1 0.375 0.8359 0.884 0.096 0.020
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.445 0.8065 0.836 0.152 0.012
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 3 0.217 0.7311 0.008 0.048 0.944
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 1 0.326 0.8451 0.912 0.048 0.040
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 1 0.305 0.8407 0.916 0.064 0.020
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.403 0.8168 0.856 0.136 0.008
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.417 0.8037 0.840 0.156 0.004
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 1 0.421 0.8355 0.872 0.040 0.088
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 1 0.919 -0.0924 0.428 0.148 0.424
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 1 0.448 0.8235 0.848 0.128 0.024
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 2 0.645 0.4148 0.308 0.672 0.020
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 1 0.437 0.8311 0.860 0.032 0.108
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 1 0.240 0.8423 0.932 0.064 0.004
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.429 0.8085 0.840 0.152 0.008
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 1 0.359 0.8465 0.900 0.048 0.052
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 1 0.564 0.7728 0.784 0.036 0.180
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 3 0.428 0.7094 0.072 0.056 0.872
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 1 0.305 0.8407 0.916 0.064 0.020
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 1 0.584 0.7589 0.768 0.036 0.196
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.411 0.8064 0.844 0.152 0.004
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 1 0.606 0.7650 0.764 0.048 0.188
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 1 0.347 0.8490 0.904 0.056 0.040
#> BE56F908-42DD-4019-A8AC-48884DA788B1 1 0.805 0.5509 0.632 0.112 0.256
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 1 0.798 0.4175 0.584 0.076 0.340
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 1 0.390 0.8406 0.888 0.060 0.052
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 2 0.840 0.2208 0.444 0.472 0.084
#> 791D9EB8-42E0-4192-B064-B1126CA14481 1 0.454 0.8249 0.860 0.056 0.084
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 1 0.789 0.3927 0.564 0.064 0.372
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 1 0.919 -0.0924 0.428 0.148 0.424
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.398 0.8106 0.852 0.144 0.004
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.471 0.8373 0.848 0.108 0.044
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 2 0.610 0.5029 0.056 0.768 0.176
#> D47C7B74-BB01-4614-B683-652F7130729C 1 0.734 0.6078 0.652 0.060 0.288
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 1 0.165 0.8371 0.960 0.036 0.004
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 1 0.218 0.8424 0.948 0.032 0.020
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.345 0.8287 0.888 0.104 0.008
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 1 0.606 0.7695 0.764 0.048 0.188
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.411 0.8064 0.844 0.152 0.004
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 1 0.191 0.8399 0.956 0.028 0.016
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 1 0.529 0.7856 0.800 0.028 0.172
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 3 0.708 0.5617 0.176 0.104 0.720
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 1 0.800 -0.0797 0.472 0.468 0.060
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 1 0.479 0.8336 0.844 0.112 0.044
#> 58F11B66-AE40-417E-B465-811C6CF7311C 1 0.421 0.8393 0.872 0.040 0.088
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.364 0.8195 0.872 0.124 0.004
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 1 0.544 0.8150 0.812 0.056 0.132
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 1 0.601 0.7688 0.768 0.048 0.184
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 1 0.564 0.7728 0.784 0.036 0.180
#> 739952C6-FF36-4E34-B881-E02FE17C4012 1 0.268 0.8390 0.924 0.068 0.008
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 1 0.361 0.8224 0.880 0.112 0.008
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 1 0.517 0.7896 0.804 0.024 0.172
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 1 0.380 0.8398 0.884 0.092 0.024
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 1 0.353 0.8334 0.892 0.092 0.016
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 1 0.371 0.8172 0.868 0.128 0.004
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#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 1 0.321 0.8329 0.900 0.092 0.008
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 1 0.188 0.8383 0.956 0.032 0.012
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 1 0.534 0.8036 0.824 0.080 0.096
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 1 0.468 0.8226 0.848 0.040 0.112
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 1 0.551 0.7718 0.784 0.028 0.188
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 1 0.244 0.8453 0.940 0.032 0.028
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 1 0.480 0.8120 0.836 0.032 0.132
#> C7997523-47CF-40F0-8803-AB873E38033C 1 0.662 0.7394 0.752 0.100 0.148
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 1 0.836 0.3287 0.528 0.088 0.384
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 3 0.217 0.7311 0.008 0.048 0.944
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 2 0.645 0.4148 0.308 0.672 0.020
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 1 0.398 0.8106 0.852 0.144 0.004
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 1 0.605 0.7479 0.756 0.040 0.204
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 1 0.231 0.8413 0.944 0.024 0.032
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 2 0.870 0.3758 0.300 0.564 0.136
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 1 0.463 0.8236 0.856 0.056 0.088
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 1 0.321 0.8304 0.900 0.092 0.008
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.417 0.8037 0.840 0.156 0.004
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 1 0.524 0.8301 0.828 0.072 0.100
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 1 0.442 0.8236 0.848 0.132 0.020
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 1 0.943 0.0508 0.452 0.180 0.368
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 3 0.823 0.4750 0.120 0.264 0.616
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 1 0.649 0.6907 0.708 0.036 0.256
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 1 0.611 0.7561 0.756 0.044 0.200
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.398 0.8106 0.852 0.144 0.004
#> E15EAAB4-0860-4716-9922-667F604CDF12 1 0.393 0.8387 0.880 0.092 0.028
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 1 0.892 0.2905 0.544 0.152 0.304
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 1 0.380 0.8376 0.884 0.092 0.024
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 1 0.873 0.4349 0.588 0.236 0.176
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.417 0.8037 0.840 0.156 0.004
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 1 0.571 0.7577 0.768 0.028 0.204
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 1 0.529 0.7828 0.800 0.028 0.172
#> E2A4C651-977F-4F40-B5EC-46DF75944141 1 0.304 0.8307 0.908 0.084 0.008
#> 433599CC-9DF5-4494-A607-8079FFE74D95 1 0.544 0.8150 0.812 0.056 0.132
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 1 0.813 0.0169 0.488 0.068 0.444
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 3 0.326 0.7436 0.040 0.048 0.912
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.435 0.8063 0.836 0.156 0.008
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 1 0.454 0.8472 0.860 0.084 0.056
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 1 0.407 0.8269 0.864 0.120 0.016
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 2 0.525 0.4928 0.000 0.736 0.264
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 3 0.326 0.7436 0.040 0.048 0.912
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 3 0.293 0.7444 0.036 0.040 0.924
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 1 0.546 0.7746 0.788 0.028 0.184
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 1 0.388 0.8353 0.888 0.044 0.068
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 1 0.716 0.6574 0.680 0.064 0.256
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.321 0.8303 0.900 0.092 0.008
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 3 0.217 0.7311 0.008 0.048 0.944
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.406 0.8243 0.860 0.128 0.012
#> 057B580C-13FD-4185-943C-9DD5266B8554 1 0.358 0.8480 0.900 0.056 0.044
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 1 0.346 0.8477 0.900 0.076 0.024
#> 287F3696-25CF-4E67-A934-E50856AD4790 1 0.719 0.5729 0.636 0.044 0.320
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 1 0.493 0.7983 0.820 0.024 0.156
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 1 0.218 0.8445 0.948 0.032 0.020
#> B80A74AB-A264-4396-93F8-FD976DBC1456 3 0.293 0.7444 0.036 0.040 0.924
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 1 0.611 0.7561 0.756 0.044 0.200
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.377 0.8380 0.880 0.104 0.016
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.421 0.8297 0.860 0.120 0.020
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 1 0.380 0.8389 0.892 0.052 0.056
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 3 0.537 0.6580 0.128 0.056 0.816
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 1 0.415 0.8360 0.876 0.044 0.080
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.321 0.8303 0.900 0.092 0.008
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 1 0.192 0.8403 0.956 0.020 0.024
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 1 0.580 0.7498 0.760 0.028 0.212
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.377 0.8380 0.880 0.104 0.016
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 1 0.473 0.8224 0.852 0.060 0.088
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 3 0.820 0.2194 0.400 0.076 0.524
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 1 0.218 0.8408 0.948 0.020 0.032
#> DD292494-92A2-43CB-B59B-726B2F429B29 1 0.256 0.8459 0.936 0.036 0.028
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.377 0.8342 0.880 0.104 0.016
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 1 0.243 0.8429 0.940 0.036 0.024
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 1 0.517 0.8161 0.824 0.048 0.128
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 1 0.539 0.8150 0.820 0.072 0.108
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 1 0.353 0.8334 0.892 0.092 0.016
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 2 0.645 0.4148 0.308 0.672 0.020
#> 74CF740D-201D-4070-99B9-F007E7C4D472 1 0.820 -0.0374 0.488 0.440 0.072
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 1 0.949 -0.1823 0.416 0.184 0.400
#> 78F28873-E471-497A-9405-FB8955808599 3 0.741 0.5628 0.192 0.112 0.696
#> 29294D9A-434B-4581-9591-63D16107C7B1 1 0.625 0.7184 0.732 0.036 0.232
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 1 0.511 0.7908 0.808 0.024 0.168
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 1 0.401 0.8345 0.880 0.036 0.084
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.3688 0.5810 0.000 0.000 0.792 0.208
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.6298 0.4250 0.632 0.268 0.100 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 1 0.3624 0.6197 0.860 0.108 0.016 0.016
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.4737 0.5105 0.728 0.252 0.020 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.4163 0.5851 0.792 0.188 0.020 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.4675 0.5656 0.736 0.244 0.020 0.000
#> 966A3A03-3879-4816-A1E9-D805F6018836 1 0.7518 0.4209 0.580 0.228 0.024 0.168
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 1 0.6847 0.3328 0.536 0.364 0.004 0.096
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.4599 0.5485 0.736 0.248 0.016 0.000
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 1 0.4327 0.6380 0.812 0.152 0.020 0.016
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 1 0.5252 0.5532 0.692 0.280 0.020 0.008
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 1 0.8141 0.1989 0.480 0.304 0.028 0.188
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.4508 0.5712 0.764 0.216 0.016 0.004
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 1 0.3624 0.6197 0.860 0.108 0.016 0.016
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.5366 0.4940 0.684 0.276 0.040 0.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 4 0.0817 0.7189 0.000 0.000 0.024 0.976
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 1 0.4979 0.5964 0.764 0.192 0.024 0.020
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 1 0.5894 0.2085 0.568 0.392 0.040 0.000
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.4833 0.5282 0.740 0.228 0.032 0.000
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.5157 0.4743 0.688 0.284 0.028 0.000
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 1 0.5865 0.5491 0.684 0.248 0.008 0.060
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 4 0.9746 -0.0908 0.260 0.228 0.164 0.348
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 1 0.6069 0.5492 0.688 0.224 0.076 0.012
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 3 0.6624 0.5125 0.152 0.204 0.640 0.004
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 1 0.5969 0.5963 0.736 0.152 0.036 0.076
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 1 0.3219 0.6309 0.868 0.112 0.020 0.000
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.5050 0.4909 0.704 0.268 0.028 0.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 1 0.4617 0.6263 0.792 0.168 0.016 0.024
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 1 0.7148 0.2689 0.500 0.376 0.004 0.120
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 4 0.4425 0.6891 0.008 0.128 0.048 0.816
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 1 0.5883 0.2147 0.572 0.388 0.040 0.000
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 1 0.7595 0.3118 0.524 0.320 0.020 0.136
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.4955 0.4910 0.708 0.268 0.024 0.000
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 1 0.6958 0.4795 0.628 0.216 0.016 0.140
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 1 0.3911 0.6365 0.856 0.092 0.024 0.028
#> BE56F908-42DD-4019-A8AC-48884DA788B1 1 0.8360 0.1733 0.528 0.180 0.064 0.228
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 2 0.8726 0.5872 0.292 0.364 0.036 0.308
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 1 0.5839 0.5943 0.708 0.224 0.036 0.032
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 3 0.8015 0.2724 0.312 0.148 0.504 0.036
#> 791D9EB8-42E0-4192-B064-B1126CA14481 1 0.6791 -0.0793 0.468 0.464 0.032 0.036
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 1 0.8817 -0.0372 0.404 0.232 0.052 0.312
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 4 0.9746 -0.0908 0.260 0.228 0.164 0.348
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.5141 0.5090 0.700 0.268 0.032 0.000
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.4687 0.6001 0.784 0.176 0.012 0.028
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 3 0.4904 0.6027 0.024 0.044 0.796 0.136
#> D47C7B74-BB01-4614-B683-652F7130729C 1 0.8466 0.2051 0.468 0.256 0.040 0.236
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 1 0.3552 0.6160 0.848 0.128 0.024 0.000
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 1 0.4138 0.6266 0.820 0.148 0.024 0.008
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.4035 0.5840 0.804 0.176 0.020 0.000
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 1 0.7323 0.4192 0.568 0.280 0.016 0.136
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.5050 0.4892 0.704 0.268 0.028 0.000
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 1 0.3606 0.6184 0.840 0.140 0.020 0.000
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 1 0.6944 0.4362 0.600 0.260 0.008 0.132
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 4 0.7336 0.5377 0.072 0.164 0.116 0.648
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 3 0.8100 0.2038 0.340 0.168 0.464 0.028
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 1 0.5591 0.5832 0.724 0.216 0.028 0.032
#> 58F11B66-AE40-417E-B465-811C6CF7311C 1 0.5554 0.6093 0.728 0.204 0.012 0.056
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.4644 0.5519 0.748 0.228 0.024 0.000
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 1 0.6735 0.5400 0.664 0.208 0.032 0.096
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 1 0.6927 0.4849 0.632 0.212 0.016 0.140
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 1 0.7148 0.2689 0.500 0.376 0.004 0.120
#> 739952C6-FF36-4E34-B881-E02FE17C4012 1 0.5231 0.5176 0.676 0.296 0.028 0.000
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 1 0.5085 0.4980 0.676 0.304 0.020 0.000
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 1 0.6862 0.5011 0.640 0.204 0.016 0.140
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 1 0.5385 0.5937 0.728 0.216 0.048 0.008
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 1 0.3383 0.6154 0.872 0.100 0.016 0.012
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 1 0.4993 0.5235 0.712 0.260 0.028 0.000
#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 1 0.3711 0.6125 0.836 0.140 0.024 0.000
#> F6B26185-139B-47A7-91EC-E885D94AC882 1 0.6437 0.5337 0.672 0.220 0.088 0.020
#> 81F30B6F-3E9A-4913-986B-C56D5F107A17 1 0.6914 0.3662 0.548 0.364 0.020 0.068
#> 2CCB3AE1-0D27-4493-B7AE-67C60BBC1C38 4 0.2909 0.7141 0.000 0.092 0.020 0.888
#> 329665BC-B959-47C5-B831-5546F94EDAC1 2 0.8618 0.4733 0.148 0.512 0.096 0.244
#> 8D4335F6-6ACB-4E38-B9F2-A2B5B647AE90 1 0.3542 0.6233 0.852 0.120 0.028 0.000
#> D181D0D8-FD8C-4259-9B34-97224CF27E1B 1 0.6851 0.0380 0.492 0.436 0.032 0.040
#> C0C10950-ABC5-4125-A33E-5AFA2D2574B0 1 0.8004 0.2949 0.512 0.276 0.028 0.184
#> 834D12DB-0925-422C-B15B-20A60A5F658C 1 0.6499 0.1243 0.508 0.436 0.016 0.040
#> 50314689-519F-4B27-884C-7816DD64CF4E 1 0.4840 0.5188 0.732 0.240 0.028 0.000
#> 2502A23E-E168-4A78-9C14-B93FBC9715B1 1 0.6805 0.3743 0.592 0.260 0.148 0.000
#> 3F8D01A3-5449-48A1-BDBA-BFE4D908AE31 1 0.6140 0.5801 0.720 0.164 0.032 0.084
#> 1C47A87B-C033-4705-B903-DB33B8C6EC34 1 0.3552 0.6170 0.848 0.128 0.024 0.000
#> 1329E1C1-743E-4541-9081-165572D4BF47 1 0.5997 0.5732 0.700 0.208 0.012 0.080
#> 1F3F8680-EEB6-4532-B81D-51957D1EA502 1 0.4903 0.5374 0.724 0.248 0.028 0.000
#> 50F69785-8B7A-4933-85B1-8DC539ACC72A 1 0.5228 0.4800 0.664 0.312 0.024 0.000
#> 9095FDD8-EEB2-4B17-85AB-3CDAC0BEC759 1 0.6893 0.5124 0.688 0.120 0.120 0.072
#> B6BF8C22-03E4-44F0-B2EF-2A3DD6ADE7D7 1 0.4364 0.5758 0.764 0.220 0.016 0.000
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#> CDAFAFEA-365B-4F25-AEC0-639B6E0CB626 1 0.4004 0.6148 0.812 0.164 0.024 0.000
#> 48A2AAEB-7F60-4284-808E-2058A531B17C 1 0.7145 0.4688 0.604 0.236 0.016 0.144
#> D4276C6F-9F0F-4F74-A85E-1E54272ADDED 1 0.7455 0.3649 0.548 0.248 0.008 0.196
#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 1 0.6244 0.5459 0.676 0.232 0.016 0.076
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 1 0.6608 0.5040 0.644 0.224 0.008 0.124
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 4 0.9912 -0.0872 0.244 0.212 0.228 0.316
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 1 0.5141 0.5090 0.700 0.268 0.032 0.000
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 3 0.8316 0.1555 0.360 0.172 0.432 0.036
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 1 0.5947 0.3964 0.588 0.376 0.020 0.016
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 1 0.4035 0.5900 0.804 0.176 0.020 0.000
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 1 0.4104 0.6215 0.808 0.164 0.028 0.000
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 1 0.7073 -0.1128 0.468 0.448 0.036 0.048
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 1 0.6118 0.5562 0.708 0.184 0.020 0.088
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 1 0.6945 0.4584 0.608 0.240 0.008 0.144
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 1 0.3593 0.6278 0.868 0.092 0.016 0.024
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 1 0.6536 0.4392 0.612 0.288 0.004 0.096
#> C7997523-47CF-40F0-8803-AB873E38033C 2 0.7943 0.3847 0.372 0.480 0.056 0.092
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 1 0.8623 -0.2385 0.380 0.236 0.036 0.348
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 4 0.0817 0.7189 0.000 0.000 0.024 0.976
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 3 0.6624 0.5125 0.152 0.204 0.640 0.004
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 1 0.5141 0.5090 0.700 0.268 0.032 0.000
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 1 0.7684 0.2921 0.512 0.324 0.020 0.144
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 1 0.4225 0.6190 0.828 0.128 0.016 0.028
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 3 0.7919 0.4895 0.180 0.128 0.600 0.092
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 1 0.6848 0.0601 0.496 0.432 0.032 0.040
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 1 0.3711 0.6125 0.836 0.140 0.024 0.000
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.5157 0.4743 0.688 0.284 0.028 0.000
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 1 0.5440 0.6122 0.776 0.112 0.032 0.080
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 1 0.5312 0.5711 0.744 0.184 0.068 0.004
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 1 0.9853 -0.2958 0.308 0.228 0.180 0.284
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 4 0.7707 0.4661 0.048 0.184 0.172 0.596
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 1 0.7718 0.3308 0.520 0.260 0.012 0.208
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 1 0.6869 0.4467 0.612 0.220 0.004 0.164
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.5247 0.4920 0.684 0.284 0.032 0.000
#> E15EAAB4-0860-4716-9922-667F604CDF12 1 0.4265 0.6246 0.816 0.148 0.024 0.012
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 2 0.9070 0.5341 0.244 0.424 0.080 0.252
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 1 0.3845 0.6287 0.840 0.132 0.016 0.012
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 1 0.9213 -0.0199 0.440 0.200 0.244 0.116
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.5062 0.4821 0.692 0.284 0.024 0.000
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 1 0.6970 0.4465 0.596 0.240 0.004 0.160
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 1 0.6725 0.4537 0.620 0.240 0.004 0.136
#> E2A4C651-977F-4F40-B5EC-46DF75944141 1 0.5010 0.5227 0.700 0.276 0.024 0.000
#> 433599CC-9DF5-4494-A607-8079FFE74D95 1 0.6735 0.5400 0.664 0.208 0.032 0.096
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 4 0.8664 -0.3178 0.356 0.168 0.060 0.416
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 4 0.2915 0.7205 0.000 0.080 0.028 0.892
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.5131 0.4958 0.692 0.280 0.028 0.000
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 1 0.5380 0.6250 0.760 0.168 0.028 0.044
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 1 0.5013 0.5747 0.764 0.176 0.056 0.004
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.3688 0.5810 0.000 0.000 0.792 0.208
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 4 0.2915 0.7205 0.000 0.080 0.028 0.892
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 4 0.2635 0.7208 0.000 0.076 0.020 0.904
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 1 0.6981 0.4464 0.600 0.252 0.008 0.140
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 1 0.5423 0.5848 0.720 0.232 0.016 0.032
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 1 0.8213 0.2617 0.492 0.268 0.032 0.208
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.5108 0.5002 0.672 0.308 0.020 0.000
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 4 0.0817 0.7189 0.000 0.000 0.024 0.976
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.4894 0.5592 0.748 0.220 0.024 0.008
#> 057B580C-13FD-4185-943C-9DD5266B8554 1 0.4038 0.6349 0.844 0.108 0.032 0.016
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 1 0.4551 0.6212 0.804 0.148 0.036 0.012
#> 287F3696-25CF-4E67-A934-E50856AD4790 1 0.8040 0.2100 0.492 0.228 0.020 0.260
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 1 0.6602 0.4649 0.620 0.264 0.004 0.112
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 1 0.4283 0.6282 0.816 0.144 0.032 0.008
#> B80A74AB-A264-4396-93F8-FD976DBC1456 4 0.2635 0.7208 0.000 0.076 0.020 0.904
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 1 0.6869 0.4467 0.612 0.220 0.004 0.164
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.4734 0.6035 0.776 0.180 0.040 0.004
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.4795 0.5732 0.768 0.196 0.024 0.012
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 1 0.5036 0.6093 0.760 0.192 0.012 0.036
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 4 0.5357 0.6378 0.040 0.136 0.048 0.776
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 1 0.6039 0.3910 0.568 0.392 0.008 0.032
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.5108 0.5002 0.672 0.308 0.020 0.000
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 1 0.3736 0.6241 0.856 0.108 0.020 0.016
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 1 0.7044 0.4367 0.588 0.240 0.004 0.168
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.4734 0.6035 0.776 0.180 0.040 0.004
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 1 0.6855 0.0367 0.488 0.440 0.032 0.040
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 4 0.8455 -0.0794 0.252 0.192 0.056 0.500
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 1 0.4225 0.6177 0.828 0.128 0.016 0.028
#> DD292494-92A2-43CB-B59B-726B2F429B29 1 0.4623 0.6062 0.772 0.200 0.016 0.012
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.4137 0.6074 0.824 0.140 0.028 0.008
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 1 0.4008 0.6233 0.832 0.136 0.020 0.012
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 1 0.6302 0.5612 0.688 0.204 0.020 0.088
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 1 0.7529 0.2553 0.496 0.388 0.048 0.068
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 1 0.3495 0.6156 0.868 0.100 0.020 0.012
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 3 0.6624 0.5125 0.152 0.204 0.640 0.004
#> 74CF740D-201D-4070-99B9-F007E7C4D472 3 0.8242 0.1580 0.360 0.172 0.436 0.032
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 2 0.8635 0.2369 0.088 0.440 0.120 0.352
#> 78F28873-E471-497A-9405-FB8955808599 4 0.7061 0.5117 0.084 0.156 0.088 0.672
#> 29294D9A-434B-4581-9591-63D16107C7B1 1 0.7430 0.3746 0.548 0.260 0.008 0.184
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 1 0.6649 0.4608 0.620 0.256 0.004 0.120
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 1 0.5856 0.5516 0.692 0.240 0.012 0.056
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.218 0.63713 0.000 0.000 0.888 0.000 0.112
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.460 0.58928 0.776 0.136 0.056 0.032 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 2 0.530 -0.19092 0.436 0.520 0.000 0.040 0.004
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.379 0.65489 0.760 0.224 0.000 0.016 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.493 0.62239 0.624 0.340 0.004 0.032 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.598 0.53376 0.572 0.312 0.008 0.108 0.000
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.457 0.49513 0.020 0.772 0.004 0.048 0.156
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.709 0.32165 0.148 0.584 0.004 0.172 0.092
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.511 0.61904 0.660 0.264 0.000 0.076 0.000
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 2 0.589 0.17257 0.372 0.556 0.008 0.044 0.020
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 2 0.616 0.38538 0.220 0.592 0.008 0.180 0.000
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 2 0.713 0.28638 0.084 0.600 0.020 0.108 0.188
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.574 0.57613 0.608 0.296 0.012 0.084 0.000
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 2 0.530 -0.19092 0.436 0.520 0.000 0.040 0.004
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.374 0.63400 0.808 0.140 0.000 0.052 0.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 5 0.240 0.76937 0.000 0.012 0.040 0.036 0.912
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 2 0.595 0.42694 0.188 0.632 0.000 0.168 0.012
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 2 0.628 0.10417 0.132 0.476 0.000 0.388 0.004
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.378 0.66811 0.752 0.236 0.000 0.012 0.000
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.344 0.64222 0.808 0.172 0.000 0.020 0.000
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 2 0.627 0.50001 0.156 0.656 0.004 0.132 0.052
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 2 0.873 -0.17617 0.064 0.380 0.172 0.076 0.308
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 1 0.741 0.30522 0.436 0.372 0.056 0.128 0.008
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 3 0.528 0.55323 0.368 0.008 0.584 0.040 0.000
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 2 0.585 0.48737 0.140 0.712 0.016 0.072 0.060
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 2 0.530 0.08035 0.352 0.592 0.004 0.052 0.000
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.369 0.64313 0.780 0.200 0.000 0.020 0.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 2 0.550 0.39934 0.220 0.688 0.012 0.064 0.016
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.692 0.31019 0.112 0.608 0.004 0.156 0.120
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 5 0.492 0.73283 0.008 0.092 0.084 0.040 0.776
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 2 0.631 0.11072 0.136 0.472 0.000 0.388 0.004
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.646 0.36687 0.092 0.652 0.004 0.108 0.144
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.349 0.64689 0.796 0.188 0.000 0.016 0.000
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 2 0.563 0.52911 0.060 0.724 0.008 0.080 0.128
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 2 0.575 0.30456 0.276 0.640 0.012 0.052 0.020
#> BE56F908-42DD-4019-A8AC-48884DA788B1 2 0.782 0.28981 0.072 0.540 0.040 0.164 0.184
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 4 0.837 0.53621 0.096 0.240 0.016 0.396 0.252
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 2 0.690 0.41518 0.228 0.588 0.020 0.128 0.036
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 3 0.740 0.38892 0.276 0.136 0.512 0.068 0.008
#> 791D9EB8-42E0-4192-B064-B1126CA14481 2 0.584 -0.18845 0.056 0.476 0.000 0.452 0.016
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 2 0.689 0.19623 0.036 0.568 0.036 0.072 0.288
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 2 0.873 -0.17617 0.064 0.380 0.172 0.076 0.308
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.381 0.66368 0.784 0.184 0.000 0.032 0.000
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.539 0.42869 0.532 0.424 0.000 0.024 0.020
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 3 0.401 0.65236 0.084 0.004 0.824 0.016 0.072
#> D47C7B74-BB01-4614-B683-652F7130729C 2 0.658 0.34803 0.052 0.636 0.024 0.080 0.208
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 2 0.539 0.32493 0.244 0.656 0.004 0.096 0.000
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 2 0.567 0.36756 0.220 0.664 0.008 0.100 0.008
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.495 0.58764 0.612 0.356 0.008 0.024 0.000
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.531 0.48299 0.052 0.744 0.004 0.088 0.112
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.355 0.64666 0.796 0.184 0.000 0.020 0.000
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 2 0.507 0.35552 0.224 0.696 0.008 0.072 0.000
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 2 0.515 0.47660 0.052 0.756 0.004 0.076 0.112
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 5 0.686 0.59775 0.012 0.160 0.136 0.072 0.620
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 3 0.697 0.31476 0.416 0.072 0.444 0.060 0.008
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 1 0.539 0.41278 0.528 0.428 0.000 0.020 0.024
#> 58F11B66-AE40-417E-B465-811C6CF7311C 2 0.599 0.45203 0.208 0.668 0.008 0.068 0.048
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.474 0.66332 0.700 0.248 0.004 0.048 0.000
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 2 0.626 0.48377 0.148 0.676 0.012 0.068 0.096
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 2 0.558 0.53116 0.060 0.728 0.008 0.076 0.128
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 2 0.692 0.31019 0.112 0.608 0.004 0.156 0.120
#> 739952C6-FF36-4E34-B881-E02FE17C4012 1 0.661 0.25885 0.476 0.340 0.008 0.176 0.000
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 1 0.505 0.57733 0.696 0.196 0.000 0.108 0.000
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 2 0.471 0.54208 0.060 0.780 0.004 0.036 0.120
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 1 0.642 0.45590 0.528 0.352 0.036 0.084 0.000
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 1 0.547 0.34436 0.488 0.468 0.012 0.028 0.004
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 1 0.423 0.67009 0.748 0.208 0.000 0.044 0.000
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#> 4C020890-E652-4DE4-B66D-5F6F71405F64 2 0.532 0.52182 0.116 0.744 0.004 0.080 0.056
#> 90C991CD-412E-4318-96E3-EB84B868FE9F 2 0.550 0.39572 0.032 0.676 0.004 0.048 0.240
#> FA8E73EA-649C-43ED-854E-B9472820D1C6 2 0.566 0.53882 0.080 0.716 0.004 0.136 0.064
#> 4D46B5DE-186A-4D35-8E1B-64701C13BC69 5 0.387 0.76091 0.004 0.064 0.060 0.032 0.840
#> D516A82D-2F77-46B2-90F7-30BA5C78AAC8 2 0.462 0.51305 0.032 0.788 0.004 0.068 0.108
#> 1FBD0805-13AE-4A82-8B94-640E1C921262 3 0.396 0.64801 0.080 0.024 0.840 0.032 0.024
#> 264525A9-F7DB-4012-A93B-CF8A7626F125 5 0.686 0.59775 0.012 0.160 0.136 0.072 0.620
#> AFF029D8-FFC9-4AA9-8049-F1E27C743F6F 2 0.601 0.49092 0.132 0.708 0.024 0.068 0.068
#> 5B65768D-0E81-4469-9D69-69B07ED5ACD5 2 0.761 0.21998 0.164 0.548 0.016 0.172 0.100
#> 2CB06CA6-8D1F-4BC7-99BE-66921805B8FD 2 0.549 0.44784 0.064 0.732 0.004 0.080 0.120
#> 956357FB-9AB3-497C-BB55-9D15B486A422 2 0.671 0.12705 0.344 0.440 0.004 0.212 0.000
#> C8F2BAD0-7124-46BF-975C-4B44BE980F93 1 0.433 0.66444 0.736 0.220 0.000 0.044 0.000
#> E96AE267-3E23-4EA9-93E2-D92558155A17 3 0.174 0.66002 0.024 0.004 0.940 0.000 0.032
#> 1C8DCA5B-965B-485A-83B6-5CBEB2117E47 2 0.586 0.49114 0.152 0.700 0.012 0.096 0.040
#> DEAB79F5-336A-49B4-8046-AEE2F567FE46 1 0.526 0.61382 0.728 0.160 0.056 0.056 0.000
#> 767FE89E-E19F-4F56-A744-CB3C5CCC085B 2 0.517 0.45396 0.180 0.728 0.008 0.064 0.020
#> 7B0BF632-79E5-46B5-AAC8-4A6D5A193449 5 0.240 0.76937 0.000 0.012 0.040 0.036 0.912
#> 9A281EDE-FF96-4E66-AEF4-692BDFA8E99D 2 0.551 0.44073 0.048 0.716 0.004 0.164 0.068
#> B8C2D019-00C9-4E1E-8383-4FE2FFB4D2D7 3 0.211 0.64698 0.004 0.004 0.908 0.000 0.084
#> 39A9B95F-186B-4550-9271-001151B1A626 2 0.478 0.46197 0.032 0.764 0.004 0.048 0.152
#> CAD6E491-88FB-4221-90E9-AC9C68AECCB0 2 0.522 0.39375 0.208 0.704 0.008 0.072 0.008
#> 15EFBC5B-C713-4718-BB6F-0EBBE4D6997F 2 0.517 0.45396 0.180 0.728 0.008 0.064 0.020
#> BBA00038-09B1-461D-9F8E-484890B0D130 2 0.647 0.36482 0.216 0.644 0.040 0.056 0.044
#> 16EBB885-A692-42A6-9027-F6AD769E0ABB 1 0.589 0.48812 0.544 0.380 0.016 0.056 0.004
#> 2D57E24B-97A6-4B85-BC8F-3E02DDC6C460 2 0.568 0.34307 0.028 0.644 0.004 0.052 0.272
#> C6E39F86-9DEF-4BCA-930B-2A3993D18901 2 0.587 0.38893 0.048 0.680 0.008 0.200 0.064
#> 5BE4D8E9-DA18-426F-8AE6-075B15010390 1 0.552 0.41229 0.520 0.424 0.008 0.048 0.000
#> 8E9CAAC7-31D3-473C-821C-2DAD37B44D3A 2 0.444 0.51444 0.020 0.792 0.004 0.064 0.120
#> 368CFCA3-7BAB-4D6D-9AE1-55713A9965C1 3 0.721 0.44093 0.260 0.112 0.548 0.068 0.012
#> 14DB79EF-DE2B-4197-AD32-F657E0655FCD 2 0.541 0.41354 0.200 0.704 0.012 0.068 0.016
#> E73BCFCB-C5FE-4BF2-A236-B9E69711C121 2 0.539 0.38846 0.208 0.692 0.008 0.084 0.008
#> CDAFAFEA-365B-4F25-AEC0-639B6E0CB626 2 0.501 0.41814 0.184 0.720 0.004 0.088 0.004
#> 48A2AAEB-7F60-4284-808E-2058A531B17C 2 0.565 0.51596 0.056 0.728 0.012 0.088 0.116
#> D4276C6F-9F0F-4F74-A85E-1E54272ADDED 2 0.502 0.44906 0.040 0.744 0.004 0.044 0.168
#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 2 0.570 0.53559 0.108 0.712 0.004 0.124 0.052
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 2 0.565 0.54331 0.072 0.732 0.012 0.084 0.100
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 2 0.932 -0.28014 0.104 0.292 0.228 0.084 0.292
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 1 0.381 0.66368 0.784 0.184 0.000 0.032 0.000
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 3 0.759 0.29733 0.308 0.156 0.460 0.072 0.004
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 2 0.709 0.18251 0.296 0.416 0.008 0.276 0.004
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 1 0.501 0.58250 0.612 0.352 0.008 0.028 0.000
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 2 0.560 0.29246 0.256 0.632 0.004 0.108 0.000
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 4 0.612 0.17569 0.072 0.440 0.000 0.468 0.020
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 2 0.535 0.54659 0.072 0.732 0.000 0.132 0.064
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 2 0.476 0.50892 0.032 0.776 0.004 0.068 0.120
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 2 0.521 0.34460 0.252 0.680 0.004 0.052 0.012
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 2 0.519 0.46495 0.044 0.744 0.004 0.144 0.064
#> C7997523-47CF-40F0-8803-AB873E38033C 4 0.681 0.45483 0.052 0.368 0.012 0.504 0.064
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 2 0.726 0.00314 0.024 0.508 0.020 0.168 0.280
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 5 0.240 0.76937 0.000 0.012 0.040 0.036 0.912
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 3 0.528 0.55323 0.368 0.008 0.584 0.040 0.000
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 1 0.381 0.66368 0.784 0.184 0.000 0.032 0.000
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 2 0.666 0.34625 0.092 0.632 0.004 0.116 0.156
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 2 0.541 0.41354 0.200 0.704 0.012 0.068 0.016
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 3 0.628 0.54578 0.180 0.084 0.668 0.048 0.020
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 2 0.590 -0.06649 0.056 0.504 0.000 0.420 0.020
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 1 0.556 0.41820 0.516 0.428 0.012 0.044 0.000
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.344 0.64222 0.808 0.172 0.000 0.020 0.000
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 2 0.687 0.25567 0.264 0.588 0.036 0.060 0.052
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 1 0.663 0.44950 0.524 0.340 0.052 0.084 0.000
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 2 0.910 -0.12802 0.108 0.376 0.184 0.076 0.256
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 5 0.777 0.32841 0.012 0.080 0.136 0.320 0.452
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 2 0.534 0.43153 0.048 0.716 0.004 0.044 0.188
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 2 0.506 0.51740 0.052 0.760 0.004 0.064 0.120
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.353 0.65485 0.808 0.164 0.000 0.028 0.000
#> E15EAAB4-0860-4716-9922-667F604CDF12 2 0.587 -0.27611 0.448 0.484 0.016 0.048 0.004
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 4 0.769 0.51336 0.064 0.220 0.024 0.524 0.168
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 2 0.560 -0.16328 0.412 0.536 0.012 0.032 0.008
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 2 0.929 0.00873 0.252 0.320 0.240 0.076 0.112
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.380 0.65140 0.788 0.184 0.004 0.024 0.000
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 2 0.490 0.49349 0.040 0.764 0.004 0.056 0.136
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 2 0.479 0.50145 0.032 0.776 0.004 0.080 0.108
#> E2A4C651-977F-4F40-B5EC-46DF75944141 1 0.615 0.44290 0.568 0.288 0.008 0.136 0.000
#> 433599CC-9DF5-4494-A607-8079FFE74D95 2 0.626 0.48377 0.148 0.676 0.012 0.068 0.096
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 2 0.751 -0.16744 0.052 0.424 0.040 0.076 0.408
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 5 0.361 0.76740 0.004 0.060 0.064 0.020 0.852
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.369 0.64982 0.780 0.200 0.000 0.020 0.000
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 2 0.721 0.17989 0.304 0.524 0.020 0.104 0.048
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 1 0.640 0.50969 0.560 0.316 0.048 0.076 0.000
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.218 0.63713 0.000 0.000 0.888 0.000 0.112
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 5 0.361 0.76740 0.004 0.060 0.064 0.020 0.852
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 5 0.301 0.76939 0.000 0.060 0.056 0.008 0.876
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.454 0.49220 0.028 0.788 0.004 0.056 0.124
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 2 0.534 0.52581 0.144 0.732 0.008 0.088 0.028
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.637 0.38563 0.056 0.664 0.020 0.084 0.176
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.607 0.46939 0.592 0.256 0.008 0.144 0.000
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 5 0.247 0.76918 0.000 0.012 0.044 0.036 0.908
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.484 0.60986 0.648 0.320 0.004 0.024 0.004
#> 057B580C-13FD-4185-943C-9DD5266B8554 2 0.564 0.20070 0.304 0.624 0.036 0.032 0.004
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 2 0.682 0.05709 0.316 0.512 0.024 0.144 0.004
#> 287F3696-25CF-4E67-A934-E50856AD4790 2 0.559 0.34894 0.028 0.652 0.004 0.048 0.268
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.509 0.50092 0.064 0.764 0.004 0.080 0.088
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 2 0.625 0.34596 0.240 0.620 0.032 0.104 0.004
#> B80A74AB-A264-4396-93F8-FD976DBC1456 5 0.301 0.76939 0.000 0.060 0.056 0.008 0.876
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.506 0.51740 0.052 0.760 0.004 0.064 0.120
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.594 0.58591 0.572 0.344 0.020 0.060 0.004
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.485 0.56408 0.608 0.368 0.004 0.016 0.004
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 2 0.508 0.47287 0.160 0.744 0.008 0.064 0.024
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 5 0.547 0.70034 0.008 0.124 0.076 0.056 0.736
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.664 0.37738 0.160 0.588 0.004 0.216 0.032
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.607 0.46939 0.592 0.256 0.008 0.144 0.000
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 2 0.554 0.36623 0.224 0.684 0.024 0.060 0.008
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.499 0.48853 0.040 0.756 0.004 0.056 0.144
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.594 0.58591 0.572 0.344 0.020 0.060 0.004
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.591 -0.09633 0.056 0.496 0.000 0.428 0.020
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 5 0.753 0.16389 0.032 0.312 0.048 0.112 0.496
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 2 0.528 0.41658 0.196 0.712 0.012 0.068 0.012
#> DD292494-92A2-43CB-B59B-726B2F429B29 2 0.602 0.40544 0.204 0.636 0.008 0.144 0.008
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.589 0.48812 0.544 0.380 0.016 0.056 0.004
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 2 0.518 0.40234 0.212 0.708 0.008 0.060 0.012
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 2 0.562 0.52286 0.116 0.724 0.004 0.080 0.076
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 2 0.837 0.03955 0.192 0.444 0.040 0.248 0.076
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 1 0.547 0.35935 0.496 0.460 0.012 0.028 0.004
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 3 0.528 0.55323 0.368 0.008 0.584 0.040 0.000
#> 74CF740D-201D-4070-99B9-F007E7C4D472 3 0.758 0.29503 0.312 0.160 0.456 0.068 0.004
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 4 0.599 0.31651 0.032 0.044 0.044 0.684 0.196
#> 78F28873-E471-497A-9405-FB8955808599 5 0.631 0.57223 0.012 0.176 0.076 0.072 0.664
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.487 0.45500 0.036 0.756 0.004 0.044 0.160
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.519 0.50248 0.060 0.756 0.004 0.084 0.096
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 2 0.621 0.49819 0.152 0.660 0.004 0.136 0.048
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.2278 0.66869 0.000 0.004 0.868 0.000 0.128 0.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.3218 0.55294 0.864 0.020 0.052 0.040 0.000 0.024
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 4 0.5220 -0.23078 0.452 0.020 0.000 0.480 0.000 0.048
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.2455 0.63122 0.872 0.004 0.000 0.112 0.000 0.012
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.4522 0.61938 0.692 0.004 0.004 0.240 0.000 0.060
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.5879 0.42891 0.576 0.024 0.004 0.140 0.000 0.256
#> 966A3A03-3879-4816-A1E9-D805F6018836 4 0.5018 0.34276 0.020 0.020 0.000 0.708 0.072 0.180
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 4 0.5781 -0.26153 0.028 0.028 0.000 0.476 0.036 0.432
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.5198 0.56539 0.648 0.012 0.000 0.140 0.000 0.200
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 4 0.5765 0.13008 0.332 0.004 0.004 0.536 0.008 0.116
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 6 0.6601 0.43256 0.148 0.024 0.020 0.400 0.000 0.408
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 4 0.6050 -0.06442 0.008 0.004 0.016 0.492 0.108 0.372
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.5718 0.54243 0.600 0.012 0.008 0.160 0.000 0.220
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 4 0.5220 -0.23078 0.452 0.020 0.000 0.480 0.000 0.048
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.2637 0.57003 0.872 0.008 0.000 0.024 0.000 0.096
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 5 0.0858 0.75910 0.000 0.000 0.004 0.028 0.968 0.000
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 4 0.6554 0.29397 0.200 0.144 0.004 0.556 0.000 0.096
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 4 0.6481 -0.16616 0.128 0.392 0.004 0.428 0.000 0.048
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.2917 0.64632 0.840 0.008 0.000 0.136 0.000 0.016
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.2262 0.61572 0.896 0.008 0.000 0.080 0.000 0.016
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 4 0.6471 0.04064 0.108 0.048 0.000 0.548 0.024 0.272
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 4 0.8781 -0.10744 0.044 0.036 0.156 0.336 0.216 0.212
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 1 0.7914 0.29291 0.376 0.056 0.060 0.304 0.008 0.196
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 3 0.5377 0.58676 0.304 0.044 0.604 0.004 0.000 0.044
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 4 0.6098 0.37681 0.152 0.032 0.008 0.652 0.040 0.116
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 4 0.5654 0.00760 0.384 0.012 0.004 0.504 0.000 0.096
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.2468 0.61519 0.880 0.008 0.000 0.096 0.000 0.016
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 4 0.6186 0.31163 0.236 0.036 0.004 0.580 0.008 0.136
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 4 0.5597 -0.18268 0.008 0.024 0.000 0.492 0.056 0.420
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 5 0.5430 0.72479 0.000 0.016 0.064 0.088 0.700 0.132
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#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.5869 0.29493 0.532 0.020 0.004 0.116 0.000 0.328
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 5 0.0972 0.75889 0.000 0.000 0.008 0.028 0.964 0.000
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.4279 0.62284 0.732 0.012 0.004 0.216 0.004 0.032
#> 057B580C-13FD-4185-943C-9DD5266B8554 4 0.6199 0.13959 0.324 0.036 0.024 0.536 0.000 0.080
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 4 0.6985 -0.02389 0.340 0.128 0.020 0.444 0.000 0.068
#> 287F3696-25CF-4E67-A934-E50856AD4790 4 0.5788 0.14899 0.008 0.004 0.000 0.560 0.172 0.256
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 4 0.5360 0.25908 0.032 0.036 0.000 0.664 0.036 0.232
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 4 0.6923 0.29176 0.236 0.100 0.032 0.536 0.000 0.096
#> B80A74AB-A264-4396-93F8-FD976DBC1456 5 0.3733 0.76039 0.000 0.004 0.028 0.064 0.820 0.084
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 4 0.5371 0.35659 0.044 0.044 0.000 0.716 0.072 0.124
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.5705 0.59469 0.612 0.016 0.016 0.244 0.000 0.112
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.4582 0.58186 0.672 0.012 0.004 0.280 0.004 0.028
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 4 0.5864 0.36187 0.176 0.036 0.016 0.636 0.000 0.136
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 5 0.5698 0.70213 0.000 0.020 0.056 0.112 0.676 0.136
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 4 0.7157 -0.16561 0.124 0.128 0.000 0.488 0.016 0.244
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.5869 0.29493 0.532 0.020 0.004 0.116 0.000 0.328
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 4 0.5902 0.33307 0.240 0.036 0.024 0.624 0.004 0.072
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 4 0.5177 0.29909 0.020 0.020 0.000 0.692 0.080 0.188
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.5705 0.59469 0.612 0.016 0.016 0.244 0.000 0.112
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 4 0.6007 -0.42211 0.032 0.428 0.000 0.432 0.000 0.108
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 5 0.7757 0.29552 0.008 0.048 0.052 0.256 0.408 0.228
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 4 0.5858 0.35731 0.212 0.036 0.016 0.636 0.004 0.096
#> DD292494-92A2-43CB-B59B-726B2F429B29 4 0.6055 0.32800 0.220 0.132 0.008 0.596 0.000 0.044
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.5800 0.54010 0.584 0.024 0.012 0.284 0.000 0.096
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 4 0.5459 0.34801 0.220 0.024 0.004 0.648 0.004 0.100
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 4 0.6058 0.37562 0.120 0.036 0.012 0.652 0.024 0.156
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 6 0.6211 0.27641 0.048 0.044 0.044 0.196 0.024 0.644
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 1 0.5549 0.45670 0.540 0.012 0.008 0.360 0.000 0.080
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 3 0.5377 0.58676 0.304 0.044 0.604 0.004 0.000 0.044
#> 74CF740D-201D-4070-99B9-F007E7C4D472 3 0.7636 0.40947 0.252 0.060 0.460 0.108 0.000 0.120
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 2 0.3974 0.30430 0.008 0.796 0.012 0.008 0.136 0.040
#> 78F28873-E471-497A-9405-FB8955808599 5 0.6991 0.58202 0.004 0.068 0.060 0.156 0.576 0.136
#> 29294D9A-434B-4581-9591-63D16107C7B1 4 0.5476 0.30380 0.032 0.020 0.000 0.676 0.092 0.180
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 4 0.5311 0.26359 0.028 0.032 0.000 0.664 0.040 0.236
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 4 0.6573 0.06041 0.112 0.048 0.004 0.556 0.024 0.256
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["SD", "kmeans"]
# you can also extract it by
# res = res_list["SD:kmeans"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#> On a matrix with 17397 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'SD' method.
#> Subgroups are detected by 'kmeans' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 3.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.521 0.854 0.906 0.4585 0.500 0.500
#> 3 3 0.769 0.858 0.920 0.3282 0.777 0.597
#> 4 4 0.565 0.645 0.793 0.1659 0.822 0.573
#> 5 5 0.629 0.577 0.767 0.0877 0.875 0.617
#> 6 6 0.686 0.530 0.694 0.0512 0.896 0.631
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
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 2 0.0000 0.8186 0.000 1.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.0000 0.9591 1.000 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 1 0.0000 0.9591 1.000 0.000
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.0000 0.9591 1.000 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.0000 0.9591 1.000 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.0000 0.9591 1.000 0.000
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.6531 0.8473 0.168 0.832
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.8327 0.8140 0.264 0.736
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.0000 0.9591 1.000 0.000
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 1 0.0000 0.9591 1.000 0.000
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 1 0.0000 0.9591 1.000 0.000
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 2 0.0000 0.8186 0.000 1.000
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.0000 0.9591 1.000 0.000
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 1 0.0000 0.9591 1.000 0.000
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.0000 0.9591 1.000 0.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 2 0.0000 0.8186 0.000 1.000
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 2 0.9896 0.5247 0.440 0.560
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 1 0.3879 0.8703 0.924 0.076
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.0000 0.9591 1.000 0.000
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.0000 0.9591 1.000 0.000
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 2 0.9087 0.7488 0.324 0.676
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 2 0.1414 0.8230 0.020 0.980
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 1 0.0000 0.9591 1.000 0.000
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 1 0.0000 0.9591 1.000 0.000
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 2 0.9866 0.5451 0.432 0.568
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 1 0.0000 0.9591 1.000 0.000
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.0000 0.9591 1.000 0.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 1 0.0000 0.9591 1.000 0.000
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.8327 0.8140 0.264 0.736
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 2 0.0000 0.8186 0.000 1.000
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 1 0.1184 0.9426 0.984 0.016
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.7453 0.8439 0.212 0.788
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.0000 0.9591 1.000 0.000
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 2 0.7219 0.8459 0.200 0.800
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 1 0.0672 0.9510 0.992 0.008
#> BE56F908-42DD-4019-A8AC-48884DA788B1 2 0.8608 0.7963 0.284 0.716
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 2 0.7453 0.8374 0.212 0.788
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 1 0.0000 0.9591 1.000 0.000
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 1 0.0672 0.9506 0.992 0.008
#> 791D9EB8-42E0-4192-B064-B1126CA14481 2 0.8861 0.7748 0.304 0.696
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 2 0.0000 0.8186 0.000 1.000
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 2 0.6343 0.8467 0.160 0.840
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.0000 0.9591 1.000 0.000
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.0000 0.9591 1.000 0.000
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 2 0.0000 0.8186 0.000 1.000
#> D47C7B74-BB01-4614-B683-652F7130729C 2 0.2948 0.8287 0.052 0.948
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 1 0.0000 0.9591 1.000 0.000
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 2 0.9993 0.4033 0.484 0.516
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.0000 0.9591 1.000 0.000
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.7528 0.8429 0.216 0.784
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.0000 0.9591 1.000 0.000
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 1 0.0000 0.9591 1.000 0.000
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 2 0.8327 0.8140 0.264 0.736
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 2 0.0000 0.8186 0.000 1.000
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 1 0.5408 0.8108 0.876 0.124
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 1 0.0000 0.9591 1.000 0.000
#> 58F11B66-AE40-417E-B465-811C6CF7311C 1 0.0000 0.9591 1.000 0.000
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.0000 0.9591 1.000 0.000
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 2 0.6887 0.8471 0.184 0.816
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 2 0.7602 0.8417 0.220 0.780
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 2 0.7528 0.8429 0.216 0.784
#> 739952C6-FF36-4E34-B881-E02FE17C4012 1 0.0000 0.9591 1.000 0.000
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 1 0.0000 0.9591 1.000 0.000
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 2 0.7602 0.8417 0.220 0.780
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 1 0.0000 0.9591 1.000 0.000
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 1 0.0000 0.9591 1.000 0.000
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 1 0.0000 0.9591 1.000 0.000
#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 1 0.0000 0.9591 1.000 0.000
#> F6B26185-139B-47A7-91EC-E885D94AC882 1 0.8763 0.4320 0.704 0.296
#> 81F30B6F-3E9A-4913-986B-C56D5F107A17 2 0.9393 0.6997 0.356 0.644
#> 2CCB3AE1-0D27-4493-B7AE-67C60BBC1C38 2 0.0000 0.8186 0.000 1.000
#> 329665BC-B959-47C5-B831-5546F94EDAC1 2 0.9044 0.7536 0.320 0.680
#> 8D4335F6-6ACB-4E38-B9F2-A2B5B647AE90 1 0.0000 0.9591 1.000 0.000
#> D181D0D8-FD8C-4259-9B34-97224CF27E1B 2 0.8555 0.7998 0.280 0.720
#> C0C10950-ABC5-4125-A33E-5AFA2D2574B0 2 0.6887 0.8471 0.184 0.816
#> 834D12DB-0925-422C-B15B-20A60A5F658C 2 0.8861 0.7748 0.304 0.696
#> 50314689-519F-4B27-884C-7816DD64CF4E 1 0.0000 0.9591 1.000 0.000
#> 2502A23E-E168-4A78-9C14-B93FBC9715B1 1 0.0000 0.9591 1.000 0.000
#> 3F8D01A3-5449-48A1-BDBA-BFE4D908AE31 2 0.7528 0.8431 0.216 0.784
#> 1C47A87B-C033-4705-B903-DB33B8C6EC34 1 0.0000 0.9591 1.000 0.000
#> 1329E1C1-743E-4541-9081-165572D4BF47 1 0.6531 0.7269 0.832 0.168
#> 1F3F8680-EEB6-4532-B81D-51957D1EA502 1 0.0000 0.9591 1.000 0.000
#> 50F69785-8B7A-4933-85B1-8DC539ACC72A 1 0.0000 0.9591 1.000 0.000
#> 9095FDD8-EEB2-4B17-85AB-3CDAC0BEC759 1 0.0000 0.9591 1.000 0.000
#> B6BF8C22-03E4-44F0-B2EF-2A3DD6ADE7D7 1 0.0000 0.9591 1.000 0.000
#> D6A907FC-3A1B-4E3B-A440-1CE9BE9B334B 2 0.7602 0.8417 0.220 0.780
#> 02588D5D-89CB-4D0B-9E96-A0270C3FF866 2 0.8386 0.8106 0.268 0.732
#> D50BBFC7-7774-4B12-938C-8D5373C12DFC 2 0.5059 0.8408 0.112 0.888
#> 6E930060-502B-49F5-A385-9B91DEBD05E4 1 0.0000 0.9591 1.000 0.000
#> F6606A8E-ACC6-4826-9547-E0017521724D 1 0.0000 0.9591 1.000 0.000
#> 981584D3-10DB-455C-8132-E8E5F44E1222 2 0.8207 0.8189 0.256 0.744
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#> 057B580C-13FD-4185-943C-9DD5266B8554 1 0.9896 -0.1210 0.560 0.440
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 1 0.0000 0.9591 1.000 0.000
#> 287F3696-25CF-4E67-A934-E50856AD4790 2 0.0000 0.8186 0.000 1.000
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.8386 0.8106 0.268 0.732
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 1 0.0000 0.9591 1.000 0.000
#> B80A74AB-A264-4396-93F8-FD976DBC1456 2 0.0000 0.8186 0.000 1.000
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.7602 0.8417 0.220 0.780
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.0000 0.9591 1.000 0.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.0000 0.9591 1.000 0.000
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 2 0.9754 0.5887 0.408 0.592
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 2 0.0000 0.8186 0.000 1.000
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.9608 0.6507 0.384 0.616
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.0000 0.9591 1.000 0.000
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 1 0.0000 0.9591 1.000 0.000
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.6438 0.8468 0.164 0.836
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.0000 0.9591 1.000 0.000
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.8861 0.7748 0.304 0.696
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 2 0.0000 0.8186 0.000 1.000
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 1 0.0000 0.9591 1.000 0.000
#> DD292494-92A2-43CB-B59B-726B2F429B29 1 0.9209 0.3071 0.664 0.336
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.0000 0.9591 1.000 0.000
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 1 0.0000 0.9591 1.000 0.000
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 2 0.7602 0.8417 0.220 0.780
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 2 0.8144 0.8216 0.252 0.748
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 1 0.0000 0.9591 1.000 0.000
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.0000 0.9591 1.000 0.000
#> 74CF740D-201D-4070-99B9-F007E7C4D472 1 0.0000 0.9591 1.000 0.000
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 2 0.8207 0.8189 0.256 0.744
#> 78F28873-E471-497A-9405-FB8955808599 2 0.0000 0.8186 0.000 1.000
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.7602 0.8417 0.220 0.780
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.7528 0.8429 0.216 0.784
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 1 0.0000 0.9591 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.0424 0.85382 0.000 0.008 0.992
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.1774 0.92339 0.960 0.016 0.024
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 1 0.1525 0.92294 0.964 0.032 0.004
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.2056 0.92235 0.952 0.024 0.024
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.1015 0.92481 0.980 0.012 0.008
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.0661 0.92055 0.988 0.004 0.008
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.0592 0.91945 0.000 0.988 0.012
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.1950 0.91197 0.040 0.952 0.008
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.0661 0.92055 0.988 0.004 0.008
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 1 0.0592 0.92016 0.988 0.012 0.000
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 2 0.6295 0.16100 0.472 0.528 0.000
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 2 0.1525 0.90685 0.004 0.964 0.032
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.0661 0.92055 0.988 0.004 0.008
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 1 0.1289 0.92296 0.968 0.032 0.000
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.0661 0.92055 0.988 0.004 0.008
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 3 0.4346 0.88538 0.000 0.184 0.816
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 2 0.1765 0.91088 0.040 0.956 0.004
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 2 0.4293 0.78568 0.164 0.832 0.004
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.1337 0.92511 0.972 0.016 0.012
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.0424 0.92169 0.992 0.000 0.008
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 2 0.1989 0.90662 0.048 0.948 0.004
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 2 0.0592 0.91945 0.000 0.988 0.012
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 1 0.0829 0.91916 0.984 0.012 0.004
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 1 0.3846 0.86656 0.876 0.016 0.108
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 2 0.0592 0.91846 0.012 0.988 0.000
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 1 0.1711 0.92469 0.960 0.032 0.008
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.2056 0.92235 0.952 0.024 0.024
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 1 0.1647 0.92186 0.960 0.036 0.004
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.2116 0.91082 0.040 0.948 0.012
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 3 0.4346 0.88538 0.000 0.184 0.816
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 2 0.4784 0.73803 0.200 0.796 0.004
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.0424 0.92048 0.000 0.992 0.008
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.2056 0.92235 0.952 0.024 0.024
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 2 0.0592 0.91945 0.000 0.988 0.012
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 2 0.5138 0.64102 0.252 0.748 0.000
#> BE56F908-42DD-4019-A8AC-48884DA788B1 2 0.0592 0.91846 0.012 0.988 0.000
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 2 0.5798 0.70594 0.040 0.776 0.184
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 1 0.1643 0.91825 0.956 0.044 0.000
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 1 0.4995 0.82520 0.824 0.032 0.144
#> 791D9EB8-42E0-4192-B064-B1126CA14481 2 0.2116 0.91082 0.040 0.948 0.012
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 2 0.1031 0.91311 0.000 0.976 0.024
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 2 0.0592 0.91945 0.000 0.988 0.012
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.0661 0.92055 0.988 0.004 0.008
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.2056 0.92235 0.952 0.024 0.024
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 3 0.0424 0.85382 0.000 0.008 0.992
#> D47C7B74-BB01-4614-B683-652F7130729C 2 0.0592 0.91945 0.000 0.988 0.012
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 2 0.6302 0.12447 0.480 0.520 0.000
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 2 0.1031 0.91656 0.024 0.976 0.000
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.2056 0.92235 0.952 0.024 0.024
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.0592 0.91945 0.000 0.988 0.012
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.1774 0.92339 0.960 0.016 0.024
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 2 0.6235 0.21986 0.436 0.564 0.000
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 2 0.1711 0.91343 0.032 0.960 0.008
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 3 0.4452 0.87708 0.000 0.192 0.808
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 1 0.5062 0.78939 0.800 0.016 0.184
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 1 0.1620 0.92457 0.964 0.024 0.012
#> 58F11B66-AE40-417E-B465-811C6CF7311C 1 0.1525 0.92294 0.964 0.032 0.004
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.0661 0.92055 0.988 0.004 0.008
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 2 0.0592 0.91846 0.012 0.988 0.000
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 2 0.0424 0.91950 0.008 0.992 0.000
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 2 0.1170 0.91602 0.016 0.976 0.008
#> 739952C6-FF36-4E34-B881-E02FE17C4012 1 0.0829 0.91916 0.984 0.012 0.004
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 1 0.0661 0.92055 0.988 0.004 0.008
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 2 0.0661 0.91980 0.004 0.988 0.008
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 1 0.0829 0.91916 0.984 0.012 0.004
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 1 0.2056 0.92235 0.952 0.024 0.024
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 1 0.0661 0.92317 0.988 0.004 0.008
#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 1 0.0848 0.92321 0.984 0.008 0.008
#> F6B26185-139B-47A7-91EC-E885D94AC882 1 0.6518 0.00487 0.512 0.484 0.004
#> 81F30B6F-3E9A-4913-986B-C56D5F107A17 2 0.1765 0.90957 0.040 0.956 0.004
#> 2CCB3AE1-0D27-4493-B7AE-67C60BBC1C38 3 0.4346 0.88538 0.000 0.184 0.816
#> 329665BC-B959-47C5-B831-5546F94EDAC1 2 0.2116 0.91082 0.040 0.948 0.012
#> 8D4335F6-6ACB-4E38-B9F2-A2B5B647AE90 1 0.0829 0.92156 0.984 0.004 0.012
#> D181D0D8-FD8C-4259-9B34-97224CF27E1B 2 0.1999 0.91283 0.036 0.952 0.012
#> C0C10950-ABC5-4125-A33E-5AFA2D2574B0 2 0.0592 0.91945 0.000 0.988 0.012
#> 834D12DB-0925-422C-B15B-20A60A5F658C 2 0.1999 0.91283 0.036 0.952 0.012
#> 50314689-519F-4B27-884C-7816DD64CF4E 1 0.2056 0.92235 0.952 0.024 0.024
#> 2502A23E-E168-4A78-9C14-B93FBC9715B1 1 0.4235 0.79444 0.824 0.000 0.176
#> 3F8D01A3-5449-48A1-BDBA-BFE4D908AE31 2 0.0592 0.91846 0.012 0.988 0.000
#> 1C47A87B-C033-4705-B903-DB33B8C6EC34 1 0.6154 0.28900 0.592 0.408 0.000
#> 1329E1C1-743E-4541-9081-165572D4BF47 2 0.1411 0.91007 0.036 0.964 0.000
#> 1F3F8680-EEB6-4532-B81D-51957D1EA502 1 0.0661 0.92055 0.988 0.004 0.008
#> 50F69785-8B7A-4933-85B1-8DC539ACC72A 1 0.0661 0.92055 0.988 0.004 0.008
#> 9095FDD8-EEB2-4B17-85AB-3CDAC0BEC759 1 0.2031 0.92216 0.952 0.032 0.016
#> B6BF8C22-03E4-44F0-B2EF-2A3DD6ADE7D7 1 0.0661 0.92055 0.988 0.004 0.008
#> D6A907FC-3A1B-4E3B-A440-1CE9BE9B334B 2 0.0661 0.91980 0.004 0.988 0.008
#> 02588D5D-89CB-4D0B-9E96-A0270C3FF866 2 0.1315 0.91670 0.020 0.972 0.008
#> D50BBFC7-7774-4B12-938C-8D5373C12DFC 2 0.0592 0.91945 0.000 0.988 0.012
#> 6E930060-502B-49F5-A385-9B91DEBD05E4 1 0.1636 0.92442 0.964 0.016 0.020
#> F6606A8E-ACC6-4826-9547-E0017521724D 1 0.4521 0.74727 0.816 0.180 0.004
#> 981584D3-10DB-455C-8132-E8E5F44E1222 2 0.2116 0.91082 0.040 0.948 0.012
#> 47F6E197-7164-4289-95B5-8FD305A13B4C 1 0.0661 0.91989 0.988 0.008 0.004
#> 4522D871-9379-4643-B15E-9ACB556276C4 1 0.2031 0.92216 0.952 0.032 0.016
#> 7560B2B5-6AF5-4600-9F0A-BE25CF99B6B9 1 0.0829 0.91916 0.984 0.012 0.004
#> 38F5957E-0A99-432D-8F0B-B48E03F17668 1 0.0661 0.92317 0.988 0.004 0.008
#> 7A6BBBE6-2B3B-44EB-A101-C823739AB24F 2 0.0424 0.92048 0.000 0.992 0.008
#> 0782D25A-3B14-499E-A40C-3852B3A15B8B 2 0.0661 0.91980 0.004 0.988 0.008
#> 31D4B639-D1E5-479B-AEC2-34F758F2E470 1 0.0829 0.91916 0.984 0.012 0.004
#> C49078E1-E730-4E81-8EAE-5AAAB9FA1BF5 2 0.0892 0.91908 0.000 0.980 0.020
#> 48BCD3B8-917F-4E8F-BCEA-1363570A6486 2 0.2200 0.90250 0.056 0.940 0.004
#> F3BA6259-9F68-47D0-ABDD-1272AE112CAB 2 0.0424 0.92048 0.000 0.992 0.008
#> 3CA49BB1-30F6-47F3-A751-D5601E16BDBA 2 0.2116 0.91082 0.040 0.948 0.012
#> 47747595-686A-46B5-9EF4-A4CFB85D746D 1 0.5269 0.77264 0.784 0.016 0.200
#> 87974EFF-C2DE-4930-93E3-015E6D996440 3 0.6062 0.57043 0.000 0.384 0.616
#> 7D272E6C-826D-4D02-8383-6A3D5BBF3A5F 3 0.0424 0.85382 0.000 0.008 0.992
#> 070E540B-34DB-4016-B573-84924407F57F 1 0.0848 0.92188 0.984 0.008 0.008
#> 63F4281A-4D90-4589-879E-549097FB3459 1 0.0592 0.92016 0.988 0.012 0.000
#> 93A66EA0-0C74-4342-8140-72ECB01F99A1 1 0.1647 0.90765 0.960 0.036 0.004
#> C92AD683-FD09-4DD2-A5A5-C72EA5DD9B46 2 0.5843 0.61872 0.252 0.732 0.016
#> 38D2BE9E-15D4-47BC-8FEB-55310F23825B 2 0.1411 0.91012 0.036 0.964 0.000
#> B3029936-1EEF-4378-AA28-D5B2A32CDC86 1 0.1453 0.92451 0.968 0.024 0.008
#> 9A33172F-AEEA-4B7D-9605-0C60D7872CEA 1 0.1129 0.92045 0.976 0.004 0.020
#> F2BC32E5-4117-468E-B637-9EDB6E9CC6C7 1 0.3272 0.85790 0.892 0.004 0.104
#> EC319D0D-96C5-49DB-A2C4-BB6BFED6844F 1 0.2056 0.92235 0.952 0.024 0.024
#> 8CB71499-1B35-417D-95E1-D85CE71A2D8A 1 0.1525 0.92294 0.964 0.032 0.004
#> C5986AA8-D1C7-47BB-946F-1AE00503A444 2 0.0747 0.91868 0.016 0.984 0.000
#> CDB44ECD-3F01-4865-B4CC-5190E0FB64DC 1 0.1877 0.92456 0.956 0.032 0.012
#> 57633DCE-DC21-42AE-82EB-81F532CE9840 2 0.0592 0.91945 0.000 0.988 0.012
#> 715C1406-D224-466D-968E-46889824CD3D 2 0.4452 0.73175 0.192 0.808 0.000
#> 86A9A426-4B69-4572-9AFF-103C2724E5EA 1 0.1774 0.92339 0.960 0.016 0.024
#> A73A2348-FC50-42A5-ADF0-6647E5ECF0EA 1 0.1163 0.92384 0.972 0.028 0.000
#> 4BF75CF9-DA61-4A0B-940C-B09C7FE864F0 1 0.1774 0.92339 0.960 0.016 0.024
#> E3D18696-51D7-4BE3-A32B-3196E5F80438 1 0.0424 0.92169 0.992 0.000 0.008
#> C4C7C112-555F-46D5-8D5D-411C7737A4C9 3 0.5835 0.36170 0.340 0.000 0.660
#> 0A3E0A3D-D396-4340-8D98-4B79DBFC312C 2 0.0424 0.92048 0.000 0.992 0.008
#> 5513114D-2503-4D11-ADA4-35BE010510E5 1 0.4521 0.78857 0.816 0.004 0.180
#> EDDCFDBA-B3E7-4E3F-97CB-D017C9DC9EF7 1 0.1774 0.92294 0.960 0.024 0.016
#> 7046C2F2-A8DE-4AE1-B27D-094CF2EF3B3D 2 0.0592 0.91945 0.000 0.988 0.012
#> 6869ABAF-343B-4C9B-8975-B26A2C895123 2 0.4452 0.72778 0.192 0.808 0.000
#> EC0B4E94-0FD0-4DBE-8E1A-14DBB0E63772 2 0.1031 0.91836 0.000 0.976 0.024
#> 245967F0-EE1A-4B0C-BEE2-0283393DA722 1 0.5008 0.79132 0.804 0.016 0.180
#> 9E5162FF-4316-42B2-882F-9CDBE2193686 2 0.0747 0.91850 0.016 0.984 0.000
#> 64FCCF76-C73F-401D-974A-BBB4F1CBC8A0 3 0.6111 0.54128 0.000 0.396 0.604
#> 20152BF5-FA56-4B98-8F20-FFEE20F8B1CB 1 0.0592 0.92016 0.988 0.012 0.000
#> 1576BB97-F8EA-48FF-9494-EBC7A0C97312 2 0.0424 0.92048 0.000 0.992 0.008
#> 4405F995-AE79-46F9-BFEE-81CAECF42BAE 1 0.3276 0.89367 0.908 0.068 0.024
#> 681D8638-84E1-43B9-93A9-3189560D8611 1 0.0592 0.92016 0.988 0.012 0.000
#> 49B8F49B-1C21-4145-BCDC-403B3D37CCD5 1 0.1774 0.92294 0.960 0.024 0.016
#> C11294C4-9285-4BC2-B0F6-98054A63CF50 1 0.2056 0.92235 0.952 0.024 0.024
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#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.0661 0.92055 0.988 0.004 0.008
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.1765 0.90957 0.040 0.956 0.004
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 2 0.2261 0.87788 0.000 0.932 0.068
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 2 0.3551 0.80378 0.132 0.868 0.000
#> DD292494-92A2-43CB-B59B-726B2F429B29 2 0.1399 0.91251 0.028 0.968 0.004
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.0475 0.92203 0.992 0.004 0.004
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 1 0.1529 0.92014 0.960 0.040 0.000
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 2 0.0829 0.91784 0.012 0.984 0.004
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 2 0.2116 0.91082 0.040 0.948 0.012
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 1 0.1905 0.92273 0.956 0.028 0.016
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.3769 0.87010 0.880 0.016 0.104
#> 74CF740D-201D-4070-99B9-F007E7C4D472 1 0.3618 0.84954 0.884 0.012 0.104
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 2 0.2116 0.91082 0.040 0.948 0.012
#> 78F28873-E471-497A-9405-FB8955808599 3 0.4346 0.88538 0.000 0.184 0.816
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.0661 0.91980 0.004 0.988 0.008
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.0424 0.92048 0.000 0.992 0.008
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 2 0.4452 0.74660 0.192 0.808 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.3837 0.8476 0.000 0.000 0.776 0.224
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.0188 0.8230 0.996 0.000 0.000 0.004
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 4 0.5159 0.5549 0.364 0.012 0.000 0.624
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.0921 0.8099 0.972 0.000 0.000 0.028
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.0188 0.8230 0.996 0.000 0.000 0.004
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.0592 0.8162 0.984 0.000 0.000 0.016
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.0937 0.8184 0.000 0.976 0.012 0.012
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.2814 0.7666 0.000 0.868 0.000 0.132
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.3649 0.6406 0.796 0.000 0.000 0.204
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 4 0.5018 0.5563 0.332 0.012 0.000 0.656
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 2 0.7031 0.3276 0.140 0.536 0.000 0.324
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 2 0.4018 0.6094 0.000 0.772 0.224 0.004
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.0592 0.8162 0.984 0.000 0.000 0.016
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 4 0.4843 0.5073 0.396 0.000 0.000 0.604
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.0707 0.8144 0.980 0.000 0.000 0.020
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 3 0.1118 0.8990 0.000 0.036 0.964 0.000
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 2 0.4989 0.3197 0.000 0.528 0.000 0.472
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 2 0.4776 0.5230 0.000 0.624 0.000 0.376
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.0188 0.8230 0.996 0.000 0.000 0.004
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.0188 0.8213 0.996 0.000 0.000 0.004
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 4 0.4522 0.3829 0.000 0.320 0.000 0.680
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 2 0.0937 0.8184 0.000 0.976 0.012 0.012
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 4 0.4770 0.6079 0.288 0.012 0.000 0.700
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 1 0.0895 0.8130 0.976 0.000 0.004 0.020
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 4 0.5099 0.3867 0.008 0.380 0.000 0.612
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 1 0.5075 0.2478 0.644 0.012 0.000 0.344
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.0336 0.8215 0.992 0.000 0.000 0.008
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 4 0.4948 0.4255 0.440 0.000 0.000 0.560
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.2868 0.7645 0.000 0.864 0.000 0.136
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 3 0.1118 0.8990 0.000 0.036 0.964 0.000
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 2 0.4761 0.5948 0.004 0.664 0.000 0.332
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.0000 0.8220 0.000 1.000 0.000 0.000
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.0188 0.8230 0.996 0.000 0.000 0.004
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 2 0.0469 0.8208 0.000 0.988 0.000 0.012
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 4 0.5602 0.3276 0.024 0.408 0.000 0.568
#> BE56F908-42DD-4019-A8AC-48884DA788B1 4 0.5112 0.3826 0.008 0.384 0.000 0.608
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 2 0.7059 0.5298 0.000 0.568 0.184 0.248
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 4 0.4576 0.6494 0.232 0.020 0.000 0.748
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 4 0.4576 0.4909 0.260 0.000 0.012 0.728
#> 791D9EB8-42E0-4192-B064-B1126CA14481 2 0.4008 0.7013 0.000 0.756 0.000 0.244
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 2 0.3428 0.7162 0.000 0.844 0.144 0.012
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 2 0.0937 0.8184 0.000 0.976 0.012 0.012
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.0592 0.8162 0.984 0.000 0.000 0.016
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.1637 0.7862 0.940 0.000 0.000 0.060
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 3 0.3837 0.8476 0.000 0.000 0.776 0.224
#> D47C7B74-BB01-4614-B683-652F7130729C 2 0.0937 0.8184 0.000 0.976 0.012 0.012
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 4 0.5174 0.6600 0.124 0.116 0.000 0.760
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 4 0.5004 0.3220 0.004 0.392 0.000 0.604
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.0336 0.8215 0.992 0.000 0.000 0.008
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.0188 0.8225 0.000 0.996 0.000 0.004
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.0188 0.8230 0.996 0.000 0.000 0.004
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 4 0.6461 0.6472 0.144 0.216 0.000 0.640
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 2 0.0469 0.8225 0.000 0.988 0.000 0.012
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 3 0.1557 0.8879 0.000 0.056 0.944 0.000
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 1 0.3351 0.6823 0.844 0.000 0.008 0.148
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 1 0.1474 0.7913 0.948 0.000 0.000 0.052
#> 58F11B66-AE40-417E-B465-811C6CF7311C 1 0.4985 -0.1763 0.532 0.000 0.000 0.468
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.0592 0.8162 0.984 0.000 0.000 0.016
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 2 0.5576 -0.0963 0.004 0.496 0.012 0.488
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 2 0.3975 0.6357 0.000 0.760 0.000 0.240
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 2 0.0188 0.8221 0.000 0.996 0.000 0.004
#> 739952C6-FF36-4E34-B881-E02FE17C4012 4 0.4907 0.4018 0.420 0.000 0.000 0.580
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 1 0.2281 0.7501 0.904 0.000 0.000 0.096
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 2 0.0592 0.8211 0.000 0.984 0.000 0.016
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 4 0.4795 0.6046 0.292 0.012 0.000 0.696
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 1 0.3024 0.6885 0.852 0.000 0.000 0.148
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 1 0.0188 0.8230 0.996 0.000 0.000 0.004
#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 1 0.5000 -0.3154 0.504 0.000 0.000 0.496
#> F6B26185-139B-47A7-91EC-E885D94AC882 4 0.5744 0.6233 0.108 0.184 0.000 0.708
#> 81F30B6F-3E9A-4913-986B-C56D5F107A17 4 0.5105 0.0340 0.004 0.432 0.000 0.564
#> 2CCB3AE1-0D27-4493-B7AE-67C60BBC1C38 3 0.1118 0.8990 0.000 0.036 0.964 0.000
#> 329665BC-B959-47C5-B831-5546F94EDAC1 2 0.4343 0.6799 0.004 0.732 0.000 0.264
#> 8D4335F6-6ACB-4E38-B9F2-A2B5B647AE90 1 0.4843 0.1394 0.604 0.000 0.000 0.396
#> D181D0D8-FD8C-4259-9B34-97224CF27E1B 2 0.3801 0.7213 0.000 0.780 0.000 0.220
#> C0C10950-ABC5-4125-A33E-5AFA2D2574B0 2 0.0937 0.8184 0.000 0.976 0.012 0.012
#> 834D12DB-0925-422C-B15B-20A60A5F658C 2 0.3837 0.7190 0.000 0.776 0.000 0.224
#> 50314689-519F-4B27-884C-7816DD64CF4E 1 0.0817 0.8126 0.976 0.000 0.000 0.024
#> 2502A23E-E168-4A78-9C14-B93FBC9715B1 1 0.1004 0.8084 0.972 0.000 0.004 0.024
#> 3F8D01A3-5449-48A1-BDBA-BFE4D908AE31 4 0.5088 0.3004 0.004 0.424 0.000 0.572
#> 1C47A87B-C033-4705-B903-DB33B8C6EC34 4 0.5080 0.6641 0.144 0.092 0.000 0.764
#> 1329E1C1-743E-4541-9081-165572D4BF47 2 0.4699 0.5340 0.004 0.676 0.000 0.320
#> 1F3F8680-EEB6-4532-B81D-51957D1EA502 1 0.2921 0.7009 0.860 0.000 0.000 0.140
#> 50F69785-8B7A-4933-85B1-8DC539ACC72A 1 0.2216 0.7543 0.908 0.000 0.000 0.092
#> 9095FDD8-EEB2-4B17-85AB-3CDAC0BEC759 4 0.4866 0.4909 0.404 0.000 0.000 0.596
#> B6BF8C22-03E4-44F0-B2EF-2A3DD6ADE7D7 1 0.4040 0.5703 0.752 0.000 0.000 0.248
#> D6A907FC-3A1B-4E3B-A440-1CE9BE9B334B 2 0.1118 0.8166 0.000 0.964 0.000 0.036
#> 02588D5D-89CB-4D0B-9E96-A0270C3FF866 2 0.0469 0.8225 0.000 0.988 0.000 0.012
#> D50BBFC7-7774-4B12-938C-8D5373C12DFC 2 0.0937 0.8184 0.000 0.976 0.012 0.012
#> 6E930060-502B-49F5-A385-9B91DEBD05E4 1 0.0188 0.8230 0.996 0.000 0.000 0.004
#> F6606A8E-ACC6-4826-9547-E0017521724D 4 0.4800 0.6579 0.196 0.044 0.000 0.760
#> 981584D3-10DB-455C-8132-E8E5F44E1222 2 0.3942 0.7086 0.000 0.764 0.000 0.236
#> 47F6E197-7164-4289-95B5-8FD305A13B4C 1 0.4888 0.1625 0.588 0.000 0.000 0.412
#> 4522D871-9379-4643-B15E-9ACB556276C4 1 0.4992 -0.1879 0.524 0.000 0.000 0.476
#> 7560B2B5-6AF5-4600-9F0A-BE25CF99B6B9 4 0.4500 0.5811 0.316 0.000 0.000 0.684
#> 38F5957E-0A99-432D-8F0B-B48E03F17668 1 0.0000 0.8225 1.000 0.000 0.000 0.000
#> 7A6BBBE6-2B3B-44EB-A101-C823739AB24F 2 0.0000 0.8220 0.000 1.000 0.000 0.000
#> 0782D25A-3B14-499E-A40C-3852B3A15B8B 2 0.0469 0.8226 0.000 0.988 0.000 0.012
#> 31D4B639-D1E5-479B-AEC2-34F758F2E470 4 0.4679 0.5386 0.352 0.000 0.000 0.648
#> C49078E1-E730-4E81-8EAE-5AAAB9FA1BF5 4 0.5366 0.2833 0.000 0.440 0.012 0.548
#> 48BCD3B8-917F-4E8F-BCEA-1363570A6486 2 0.4981 0.3153 0.000 0.536 0.000 0.464
#> F3BA6259-9F68-47D0-ABDD-1272AE112CAB 2 0.0188 0.8225 0.000 0.996 0.000 0.004
#> 3CA49BB1-30F6-47F3-A751-D5601E16BDBA 2 0.3942 0.7086 0.000 0.764 0.000 0.236
#> 47747595-686A-46B5-9EF4-A4CFB85D746D 1 0.4974 0.5690 0.736 0.000 0.040 0.224
#> 87974EFF-C2DE-4930-93E3-015E6D996440 3 0.4019 0.7410 0.000 0.196 0.792 0.012
#> 7D272E6C-826D-4D02-8383-6A3D5BBF3A5F 3 0.3837 0.8476 0.000 0.000 0.776 0.224
#> 070E540B-34DB-4016-B573-84924407F57F 4 0.4454 0.6068 0.308 0.000 0.000 0.692
#> 63F4281A-4D90-4589-879E-549097FB3459 4 0.4500 0.5863 0.316 0.000 0.000 0.684
#> 93A66EA0-0C74-4342-8140-72ECB01F99A1 4 0.4741 0.6461 0.228 0.028 0.000 0.744
#> C92AD683-FD09-4DD2-A5A5-C72EA5DD9B46 2 0.5755 0.0365 0.028 0.528 0.000 0.444
#> 38D2BE9E-15D4-47BC-8FEB-55310F23825B 2 0.4088 0.6472 0.004 0.764 0.000 0.232
#> B3029936-1EEF-4378-AA28-D5B2A32CDC86 4 0.4898 0.4639 0.416 0.000 0.000 0.584
#> 9A33172F-AEEA-4B7D-9605-0C60D7872CEA 1 0.0592 0.8162 0.984 0.000 0.000 0.016
#> F2BC32E5-4117-468E-B637-9EDB6E9CC6C7 4 0.5288 0.2394 0.472 0.000 0.008 0.520
#> EC319D0D-96C5-49DB-A2C4-BB6BFED6844F 1 0.1118 0.8044 0.964 0.000 0.000 0.036
#> 8CB71499-1B35-417D-95E1-D85CE71A2D8A 4 0.4843 0.5075 0.396 0.000 0.000 0.604
#> C5986AA8-D1C7-47BB-946F-1AE00503A444 2 0.1022 0.8194 0.000 0.968 0.000 0.032
#> CDB44ECD-3F01-4865-B4CC-5190E0FB64DC 1 0.5038 0.2851 0.652 0.012 0.000 0.336
#> 57633DCE-DC21-42AE-82EB-81F532CE9840 2 0.0937 0.8184 0.000 0.976 0.012 0.012
#> 715C1406-D224-466D-968E-46889824CD3D 4 0.4973 0.4328 0.008 0.348 0.000 0.644
#> 86A9A426-4B69-4572-9AFF-103C2724E5EA 1 0.0188 0.8230 0.996 0.000 0.000 0.004
#> A73A2348-FC50-42A5-ADF0-6647E5ECF0EA 4 0.4790 0.5312 0.380 0.000 0.000 0.620
#> 4BF75CF9-DA61-4A0B-940C-B09C7FE864F0 1 0.0188 0.8230 0.996 0.000 0.000 0.004
#> E3D18696-51D7-4BE3-A32B-3196E5F80438 1 0.0188 0.8213 0.996 0.000 0.000 0.004
#> C4C7C112-555F-46D5-8D5D-411C7737A4C9 3 0.7585 0.4536 0.304 0.000 0.472 0.224
#> 0A3E0A3D-D396-4340-8D98-4B79DBFC312C 2 0.0336 0.8226 0.000 0.992 0.000 0.008
#> 5513114D-2503-4D11-ADA4-35BE010510E5 1 0.4706 0.6117 0.732 0.000 0.020 0.248
#> EDDCFDBA-B3E7-4E3F-97CB-D017C9DC9EF7 1 0.4761 0.2139 0.628 0.000 0.000 0.372
#> 7046C2F2-A8DE-4AE1-B27D-094CF2EF3B3D 2 0.0937 0.8184 0.000 0.976 0.012 0.012
#> 6869ABAF-343B-4C9B-8975-B26A2C895123 2 0.5168 0.2325 0.004 0.504 0.000 0.492
#> EC0B4E94-0FD0-4DBE-8E1A-14DBB0E63772 2 0.1677 0.8104 0.000 0.948 0.012 0.040
#> 245967F0-EE1A-4B0C-BEE2-0283393DA722 1 0.3768 0.6434 0.808 0.000 0.008 0.184
#> 9E5162FF-4316-42B2-882F-9CDBE2193686 2 0.0469 0.8226 0.000 0.988 0.000 0.012
#> 64FCCF76-C73F-401D-974A-BBB4F1CBC8A0 3 0.4163 0.8007 0.000 0.096 0.828 0.076
#> 20152BF5-FA56-4B98-8F20-FFEE20F8B1CB 4 0.4761 0.5076 0.372 0.000 0.000 0.628
#> 1576BB97-F8EA-48FF-9494-EBC7A0C97312 2 0.0469 0.8208 0.000 0.988 0.000 0.012
#> 4405F995-AE79-46F9-BFEE-81CAECF42BAE 1 0.2329 0.7681 0.916 0.012 0.000 0.072
#> 681D8638-84E1-43B9-93A9-3189560D8611 4 0.4222 0.6213 0.272 0.000 0.000 0.728
#> 49B8F49B-1C21-4145-BCDC-403B3D37CCD5 1 0.4761 0.2139 0.628 0.000 0.000 0.372
#> C11294C4-9285-4BC2-B0F6-98054A63CF50 1 0.0921 0.8099 0.972 0.000 0.000 0.028
#> 688EFD86-95DA-4442-87F0-DBF9E6B549FD 3 0.1297 0.8900 0.000 0.016 0.964 0.020
#> F23B0A1A-25AE-41D9-8C49-B692C4FDE1E4 1 0.2149 0.7608 0.912 0.000 0.000 0.088
#> 1809618E-A051-4758-BC59-B04E23FB3A42 2 0.0188 0.8225 0.000 0.996 0.000 0.004
#> 9DD73399-620E-472C-8360-5565F91BBD3A 4 0.4382 0.6019 0.296 0.000 0.000 0.704
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#> 057B580C-13FD-4185-943C-9DD5266B8554 4 0.6828 0.6108 0.148 0.264 0.000 0.588
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 4 0.5460 0.5817 0.340 0.028 0.000 0.632
#> 287F3696-25CF-4E67-A934-E50856AD4790 2 0.4319 0.6036 0.000 0.760 0.228 0.012
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.0592 0.8223 0.000 0.984 0.000 0.016
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 4 0.5272 0.6567 0.136 0.112 0.000 0.752
#> B80A74AB-A264-4396-93F8-FD976DBC1456 3 0.1118 0.8990 0.000 0.036 0.964 0.000
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.1716 0.8033 0.000 0.936 0.000 0.064
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.1022 0.8083 0.968 0.000 0.000 0.032
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.2647 0.7366 0.880 0.000 0.000 0.120
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 2 0.2976 0.7624 0.008 0.872 0.000 0.120
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 3 0.1118 0.8990 0.000 0.036 0.964 0.000
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.3400 0.7453 0.000 0.820 0.000 0.180
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.2345 0.7456 0.900 0.000 0.000 0.100
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 4 0.5807 0.5115 0.052 0.312 0.000 0.636
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.0000 0.8220 0.000 1.000 0.000 0.000
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.1022 0.8125 0.968 0.000 0.000 0.032
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.3873 0.7153 0.000 0.772 0.000 0.228
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 2 0.6023 0.4031 0.000 0.612 0.328 0.060
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 4 0.5406 0.1475 0.012 0.480 0.000 0.508
#> DD292494-92A2-43CB-B59B-726B2F429B29 2 0.5159 0.4323 0.012 0.624 0.000 0.364
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.4624 0.3039 0.660 0.000 0.000 0.340
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 4 0.4535 0.6445 0.240 0.016 0.000 0.744
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 2 0.5161 0.2475 0.008 0.592 0.000 0.400
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 4 0.5105 0.0236 0.004 0.432 0.000 0.564
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 1 0.4967 -0.0980 0.548 0.000 0.000 0.452
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.0779 0.8126 0.980 0.000 0.004 0.016
#> 74CF740D-201D-4070-99B9-F007E7C4D472 4 0.3791 0.5882 0.200 0.000 0.004 0.796
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 2 0.4872 0.6886 0.000 0.728 0.028 0.244
#> 78F28873-E471-497A-9405-FB8955808599 3 0.1118 0.8990 0.000 0.036 0.964 0.000
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.0469 0.8208 0.000 0.988 0.000 0.012
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.0000 0.8220 0.000 1.000 0.000 0.000
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 4 0.4855 0.1710 0.000 0.400 0.000 0.600
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 5 0.4262 0.58071 0.000 0.000 0.440 0.000 0.560
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.0671 0.88763 0.980 0.000 0.004 0.016 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 4 0.3339 0.62178 0.072 0.004 0.072 0.852 0.000
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.1270 0.86716 0.948 0.000 0.000 0.052 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.0510 0.88830 0.984 0.000 0.000 0.016 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.0771 0.87144 0.976 0.000 0.004 0.020 0.000
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.1153 0.74997 0.000 0.964 0.024 0.004 0.008
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.3037 0.68886 0.000 0.860 0.100 0.040 0.000
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.6773 0.11213 0.448 0.004 0.292 0.256 0.000
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 4 0.3861 0.57306 0.128 0.000 0.068 0.804 0.000
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 2 0.7858 -0.17922 0.068 0.356 0.260 0.316 0.000
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 2 0.4876 0.28413 0.000 0.576 0.028 0.000 0.396
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.1216 0.86593 0.960 0.000 0.020 0.020 0.000
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 4 0.3215 0.61986 0.092 0.000 0.056 0.852 0.000
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.0992 0.86673 0.968 0.000 0.008 0.024 0.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 5 0.0000 0.78900 0.000 0.000 0.000 0.000 1.000
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 4 0.6253 0.08118 0.000 0.188 0.280 0.532 0.000
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 3 0.6779 0.15110 0.000 0.360 0.364 0.276 0.000
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.0510 0.88830 0.984 0.000 0.000 0.016 0.000
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.0000 0.88276 1.000 0.000 0.000 0.000 0.000
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 4 0.5876 0.32133 0.016 0.092 0.284 0.608 0.000
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 2 0.1653 0.74178 0.000 0.944 0.024 0.004 0.028
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 4 0.5573 0.44044 0.076 0.008 0.304 0.612 0.000
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 1 0.0898 0.88177 0.972 0.000 0.020 0.008 0.000
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 4 0.3934 0.57334 0.000 0.124 0.076 0.800 0.000
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 4 0.5389 0.18289 0.436 0.000 0.056 0.508 0.000
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.1043 0.87619 0.960 0.000 0.000 0.040 0.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 4 0.3037 0.62006 0.100 0.004 0.032 0.864 0.000
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.4060 0.62866 0.004 0.788 0.156 0.052 0.000
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 5 0.0000 0.78900 0.000 0.000 0.000 0.000 1.000
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 2 0.6416 0.03729 0.000 0.452 0.372 0.176 0.000
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.0162 0.75733 0.000 0.996 0.000 0.000 0.004
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.0510 0.88830 0.984 0.000 0.000 0.016 0.000
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 2 0.1588 0.74526 0.000 0.948 0.028 0.016 0.008
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 4 0.4686 0.52120 0.000 0.160 0.104 0.736 0.000
#> BE56F908-42DD-4019-A8AC-48884DA788B1 4 0.3644 0.59374 0.000 0.096 0.080 0.824 0.000
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 3 0.8343 0.23668 0.000 0.276 0.356 0.160 0.208
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 4 0.3151 0.61198 0.020 0.000 0.144 0.836 0.000
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 4 0.4364 0.57858 0.048 0.000 0.216 0.736 0.000
#> 791D9EB8-42E0-4192-B064-B1126CA14481 2 0.6024 0.20786 0.000 0.512 0.364 0.124 0.000
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 2 0.2228 0.70527 0.000 0.900 0.004 0.004 0.092
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 2 0.0960 0.75278 0.000 0.972 0.016 0.004 0.008
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.0451 0.87782 0.988 0.000 0.004 0.008 0.000
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.2280 0.80625 0.880 0.000 0.000 0.120 0.000
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 5 0.4410 0.57745 0.000 0.000 0.440 0.004 0.556
#> D47C7B74-BB01-4614-B683-652F7130729C 2 0.1492 0.74122 0.000 0.948 0.008 0.004 0.040
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 4 0.3554 0.50454 0.004 0.004 0.216 0.776 0.000
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 4 0.4732 0.49509 0.000 0.076 0.208 0.716 0.000
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.1124 0.87746 0.960 0.000 0.004 0.036 0.000
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.0566 0.75800 0.000 0.984 0.012 0.000 0.004
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.0510 0.88830 0.984 0.000 0.000 0.016 0.000
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 4 0.3399 0.60347 0.016 0.048 0.080 0.856 0.000
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 2 0.1041 0.75222 0.000 0.964 0.032 0.004 0.000
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 5 0.3461 0.55266 0.000 0.224 0.004 0.000 0.772
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 1 0.2068 0.84389 0.904 0.000 0.092 0.004 0.000
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 1 0.1544 0.85281 0.932 0.000 0.000 0.068 0.000
#> 58F11B66-AE40-417E-B465-811C6CF7311C 4 0.4061 0.57886 0.188 0.024 0.012 0.776 0.000
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.0771 0.87144 0.976 0.000 0.004 0.020 0.000
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 4 0.4972 0.35728 0.004 0.352 0.032 0.612 0.000
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 4 0.5028 0.18841 0.000 0.444 0.032 0.524 0.000
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 2 0.0932 0.75441 0.000 0.972 0.020 0.004 0.004
#> 739952C6-FF36-4E34-B881-E02FE17C4012 4 0.6469 0.30792 0.252 0.004 0.220 0.524 0.000
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 1 0.1281 0.85833 0.956 0.000 0.012 0.032 0.000
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 2 0.1117 0.74919 0.000 0.964 0.020 0.016 0.000
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 4 0.5361 0.44720 0.084 0.008 0.244 0.664 0.000
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 1 0.6154 0.12017 0.508 0.000 0.144 0.348 0.000
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 1 0.0510 0.88830 0.984 0.000 0.000 0.016 0.000
#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 4 0.5704 0.52091 0.148 0.000 0.232 0.620 0.000
#> F6B26185-139B-47A7-91EC-E885D94AC882 4 0.5380 0.43317 0.044 0.032 0.256 0.668 0.000
#> 81F30B6F-3E9A-4913-986B-C56D5F107A17 4 0.6344 0.27790 0.016 0.156 0.252 0.576 0.000
#> 2CCB3AE1-0D27-4493-B7AE-67C60BBC1C38 5 0.0000 0.78900 0.000 0.000 0.000 0.000 1.000
#> 329665BC-B959-47C5-B831-5546F94EDAC1 2 0.6867 -0.00893 0.016 0.432 0.372 0.180 0.000
#> 8D4335F6-6ACB-4E38-B9F2-A2B5B647AE90 4 0.6008 0.41606 0.292 0.000 0.148 0.560 0.000
#> D181D0D8-FD8C-4259-9B34-97224CF27E1B 2 0.5593 0.35210 0.000 0.572 0.340 0.088 0.000
#> C0C10950-ABC5-4125-A33E-5AFA2D2574B0 2 0.0798 0.75397 0.000 0.976 0.016 0.000 0.008
#> 834D12DB-0925-422C-B15B-20A60A5F658C 2 0.5793 0.27365 0.000 0.536 0.364 0.100 0.000
#> 50314689-519F-4B27-884C-7816DD64CF4E 1 0.1197 0.87024 0.952 0.000 0.000 0.048 0.000
#> 2502A23E-E168-4A78-9C14-B93FBC9715B1 1 0.0880 0.87623 0.968 0.000 0.032 0.000 0.000
#> 3F8D01A3-5449-48A1-BDBA-BFE4D908AE31 4 0.4462 0.52572 0.000 0.196 0.064 0.740 0.000
#> 1C47A87B-C033-4705-B903-DB33B8C6EC34 4 0.2193 0.59797 0.008 0.000 0.092 0.900 0.000
#> 1329E1C1-743E-4541-9081-165572D4BF47 4 0.6465 0.06425 0.000 0.308 0.208 0.484 0.000
#> 1F3F8680-EEB6-4532-B81D-51957D1EA502 1 0.2520 0.80393 0.896 0.000 0.056 0.048 0.000
#> 50F69785-8B7A-4933-85B1-8DC539ACC72A 1 0.1281 0.85833 0.956 0.000 0.012 0.032 0.000
#> 9095FDD8-EEB2-4B17-85AB-3CDAC0BEC759 4 0.4294 0.59918 0.072 0.004 0.148 0.776 0.000
#> B6BF8C22-03E4-44F0-B2EF-2A3DD6ADE7D7 1 0.5879 0.42317 0.620 0.004 0.176 0.200 0.000
#> D6A907FC-3A1B-4E3B-A440-1CE9BE9B334B 2 0.2754 0.72582 0.000 0.880 0.080 0.040 0.000
#> 02588D5D-89CB-4D0B-9E96-A0270C3FF866 2 0.1205 0.75061 0.000 0.956 0.040 0.004 0.000
#> D50BBFC7-7774-4B12-938C-8D5373C12DFC 2 0.1059 0.75187 0.000 0.968 0.020 0.004 0.008
#> 6E930060-502B-49F5-A385-9B91DEBD05E4 1 0.0510 0.88830 0.984 0.000 0.000 0.016 0.000
#> F6606A8E-ACC6-4826-9547-E0017521724D 4 0.4342 0.55566 0.040 0.000 0.232 0.728 0.000
#> 981584D3-10DB-455C-8132-E8E5F44E1222 2 0.5951 0.23163 0.000 0.520 0.364 0.116 0.000
#> 47F6E197-7164-4289-95B5-8FD305A13B4C 1 0.6496 0.08210 0.484 0.004 0.176 0.336 0.000
#> 4522D871-9379-4643-B15E-9ACB556276C4 4 0.5447 0.57574 0.124 0.020 0.156 0.700 0.000
#> 7560B2B5-6AF5-4600-9F0A-BE25CF99B6B9 4 0.5559 0.41929 0.120 0.004 0.228 0.648 0.000
#> 38F5957E-0A99-432D-8F0B-B48E03F17668 1 0.0510 0.88830 0.984 0.000 0.000 0.016 0.000
#> 7A6BBBE6-2B3B-44EB-A101-C823739AB24F 2 0.0324 0.75737 0.000 0.992 0.004 0.000 0.004
#> 0782D25A-3B14-499E-A40C-3852B3A15B8B 2 0.2660 0.71139 0.000 0.864 0.128 0.008 0.000
#> 31D4B639-D1E5-479B-AEC2-34F758F2E470 4 0.5590 0.45788 0.088 0.004 0.300 0.608 0.000
#> C49078E1-E730-4E81-8EAE-5AAAB9FA1BF5 4 0.5080 0.56605 0.000 0.176 0.112 0.708 0.004
#> 48BCD3B8-917F-4E8F-BCEA-1363570A6486 4 0.6755 -0.29212 0.000 0.264 0.360 0.376 0.000
#> F3BA6259-9F68-47D0-ABDD-1272AE112CAB 2 0.0162 0.75754 0.000 0.996 0.000 0.004 0.000
#> 3CA49BB1-30F6-47F3-A751-D5601E16BDBA 2 0.5951 0.23163 0.000 0.520 0.364 0.116 0.000
#> 47747595-686A-46B5-9EF4-A4CFB85D746D 1 0.4415 0.37196 0.552 0.000 0.444 0.004 0.000
#> 87974EFF-C2DE-4930-93E3-015E6D996440 5 0.3786 0.57662 0.000 0.204 0.016 0.004 0.776
#> 7D272E6C-826D-4D02-8383-6A3D5BBF3A5F 5 0.4262 0.58071 0.000 0.000 0.440 0.000 0.560
#> 070E540B-34DB-4016-B573-84924407F57F 4 0.4873 0.53164 0.068 0.000 0.244 0.688 0.000
#> 63F4281A-4D90-4589-879E-549097FB3459 4 0.2305 0.61812 0.092 0.000 0.012 0.896 0.000
#> 93A66EA0-0C74-4342-8140-72ECB01F99A1 4 0.4737 0.51285 0.056 0.004 0.228 0.712 0.000
#> C92AD683-FD09-4DD2-A5A5-C72EA5DD9B46 4 0.5274 0.47697 0.012 0.248 0.068 0.672 0.000
#> 38D2BE9E-15D4-47BC-8FEB-55310F23825B 2 0.5114 0.00672 0.000 0.492 0.036 0.472 0.000
#> B3029936-1EEF-4378-AA28-D5B2A32CDC86 4 0.5342 0.54138 0.172 0.000 0.156 0.672 0.000
#> 9A33172F-AEEA-4B7D-9605-0C60D7872CEA 1 0.0798 0.87241 0.976 0.000 0.008 0.016 0.000
#> F2BC32E5-4117-468E-B637-9EDB6E9CC6C7 4 0.6247 0.36813 0.144 0.004 0.328 0.524 0.000
#> EC319D0D-96C5-49DB-A2C4-BB6BFED6844F 1 0.1341 0.86376 0.944 0.000 0.000 0.056 0.000
#> 8CB71499-1B35-417D-95E1-D85CE71A2D8A 4 0.3731 0.61189 0.112 0.000 0.072 0.816 0.000
#> C5986AA8-D1C7-47BB-946F-1AE00503A444 2 0.4312 0.65188 0.000 0.772 0.124 0.104 0.000
#> CDB44ECD-3F01-4865-B4CC-5190E0FB64DC 4 0.6069 0.12602 0.432 0.000 0.120 0.448 0.000
#> 57633DCE-DC21-42AE-82EB-81F532CE9840 2 0.1911 0.73598 0.000 0.932 0.028 0.004 0.036
#> 715C1406-D224-466D-968E-46889824CD3D 4 0.3401 0.59041 0.000 0.064 0.096 0.840 0.000
#> 86A9A426-4B69-4572-9AFF-103C2724E5EA 1 0.0671 0.88763 0.980 0.000 0.004 0.016 0.000
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#> C7997523-47CF-40F0-8803-AB873E38033C 2 0.5951 0.23163 0.000 0.520 0.364 0.116 0.000
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 2 0.3602 0.64985 0.000 0.820 0.036 0.004 0.140
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 5 0.0000 0.78900 0.000 0.000 0.000 0.000 1.000
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 1 0.4415 0.37196 0.552 0.000 0.444 0.004 0.000
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 1 0.0000 0.88276 1.000 0.000 0.000 0.000 0.000
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 2 0.2550 0.71601 0.000 0.892 0.020 0.004 0.084
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 2 0.4689 0.48514 0.000 0.688 0.048 0.264 0.000
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 5 0.4262 0.58071 0.000 0.000 0.440 0.000 0.560
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 2 0.5626 0.34975 0.000 0.572 0.336 0.092 0.000
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 4 0.5243 0.55797 0.132 0.000 0.188 0.680 0.000
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.0510 0.88830 0.984 0.000 0.000 0.016 0.000
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 4 0.4648 0.59089 0.108 0.004 0.136 0.752 0.000
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 1 0.5009 0.58743 0.716 0.004 0.168 0.112 0.000
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 5 0.7605 0.04750 0.000 0.372 0.160 0.076 0.392
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 4 0.4653 0.54597 0.004 0.132 0.112 0.752 0.000
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 2 0.0451 0.75627 0.000 0.988 0.000 0.004 0.008
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 2 0.0566 0.75698 0.000 0.984 0.004 0.012 0.000
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.0771 0.87095 0.976 0.000 0.004 0.020 0.000
#> E15EAAB4-0860-4716-9922-667F604CDF12 4 0.4548 0.58926 0.096 0.000 0.156 0.748 0.000
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 3 0.7337 0.21963 0.000 0.184 0.468 0.296 0.052
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 4 0.4624 0.59184 0.096 0.004 0.148 0.752 0.000
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 4 0.6584 0.17633 0.008 0.000 0.200 0.512 0.280
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.0671 0.88763 0.980 0.000 0.004 0.016 0.000
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 2 0.0290 0.75687 0.000 0.992 0.000 0.000 0.008
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 2 0.0932 0.75441 0.000 0.972 0.020 0.004 0.004
#> E2A4C651-977F-4F40-B5EC-46DF75944141 4 0.6492 0.33538 0.180 0.004 0.324 0.492 0.000
#> 433599CC-9DF5-4494-A607-8079FFE74D95 4 0.5367 0.17226 0.008 0.452 0.028 0.508 0.004
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 4 0.7978 0.05380 0.000 0.240 0.220 0.428 0.112
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 5 0.0000 0.78900 0.000 0.000 0.000 0.000 1.000
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.1197 0.87024 0.952 0.000 0.000 0.048 0.000
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 4 0.4268 0.61002 0.016 0.060 0.132 0.792 0.000
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 4 0.6769 0.27049 0.252 0.004 0.296 0.448 0.000
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 5 0.4262 0.58071 0.000 0.000 0.440 0.000 0.560
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 5 0.0000 0.78900 0.000 0.000 0.000 0.000 1.000
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 5 0.0000 0.78900 0.000 0.000 0.000 0.000 1.000
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.0162 0.75754 0.000 0.996 0.000 0.004 0.000
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 4 0.1845 0.61998 0.000 0.056 0.016 0.928 0.000
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.0290 0.75687 0.000 0.992 0.000 0.000 0.008
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.4017 0.69385 0.800 0.004 0.128 0.068 0.000
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 5 0.0000 0.78900 0.000 0.000 0.000 0.000 1.000
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.0771 0.88638 0.976 0.000 0.004 0.020 0.000
#> 057B580C-13FD-4185-943C-9DD5266B8554 4 0.4845 0.60091 0.020 0.084 0.144 0.752 0.000
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 4 0.4646 0.61020 0.060 0.012 0.180 0.748 0.000
#> 287F3696-25CF-4E67-A934-E50856AD4790 2 0.4930 0.20474 0.000 0.548 0.028 0.000 0.424
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.1638 0.74344 0.000 0.932 0.064 0.004 0.000
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 4 0.5066 0.48411 0.044 0.008 0.296 0.652 0.000
#> B80A74AB-A264-4396-93F8-FD976DBC1456 5 0.0000 0.78900 0.000 0.000 0.000 0.000 1.000
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.2006 0.71237 0.000 0.916 0.012 0.072 0.000
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.2852 0.74906 0.828 0.000 0.000 0.172 0.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.5459 0.28139 0.568 0.000 0.072 0.360 0.000
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 2 0.3639 0.58450 0.000 0.792 0.024 0.184 0.000
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 5 0.0000 0.78900 0.000 0.000 0.000 0.000 1.000
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.5218 0.45731 0.000 0.632 0.296 0.072 0.000
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.2209 0.82245 0.912 0.000 0.056 0.032 0.000
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 4 0.4140 0.61760 0.012 0.064 0.124 0.800 0.000
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.0162 0.75733 0.000 0.996 0.000 0.000 0.004
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.2520 0.81782 0.896 0.000 0.048 0.056 0.000
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.5951 0.23538 0.000 0.520 0.364 0.116 0.000
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 5 0.6863 0.05612 0.000 0.388 0.032 0.132 0.448
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 4 0.4269 0.54221 0.000 0.188 0.056 0.756 0.000
#> DD292494-92A2-43CB-B59B-726B2F429B29 4 0.6309 0.17282 0.000 0.288 0.192 0.520 0.000
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 4 0.6733 0.28887 0.296 0.000 0.288 0.416 0.000
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 4 0.2144 0.61017 0.020 0.000 0.068 0.912 0.000
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 4 0.4995 0.31386 0.004 0.384 0.028 0.584 0.000
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 4 0.7261 0.16953 0.016 0.240 0.224 0.500 0.020
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 4 0.5547 0.51287 0.208 0.000 0.148 0.644 0.000
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.0898 0.88177 0.972 0.000 0.020 0.008 0.000
#> 74CF740D-201D-4070-99B9-F007E7C4D472 4 0.5672 0.42017 0.072 0.008 0.344 0.576 0.000
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 2 0.7224 0.03769 0.000 0.436 0.368 0.144 0.052
#> 78F28873-E471-497A-9405-FB8955808599 5 0.0000 0.78900 0.000 0.000 0.000 0.000 1.000
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.0162 0.75733 0.000 0.996 0.000 0.000 0.004
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.0162 0.75733 0.000 0.996 0.000 0.000 0.004
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 4 0.6067 0.14998 0.000 0.164 0.276 0.560 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.0000 0.755559 0.000 0.000 1.000 0.000 0.000 0.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.0363 0.910822 0.988 0.000 0.000 0.012 0.000 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 4 0.2649 0.579896 0.016 0.000 0.000 0.884 0.052 0.048
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.0858 0.909431 0.968 0.000 0.000 0.028 0.000 0.004
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.0837 0.912463 0.972 0.000 0.000 0.020 0.004 0.004
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.1053 0.897398 0.964 0.000 0.000 0.020 0.012 0.004
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.1138 0.796306 0.000 0.960 0.000 0.004 0.012 0.024
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.3014 0.675639 0.000 0.804 0.000 0.012 0.000 0.184
#> 18971368-40F0-42D3-B1A3-707850C53B18 5 0.7428 -0.154836 0.176 0.000 0.000 0.160 0.340 0.324
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 4 0.3699 0.514487 0.112 0.000 0.000 0.796 0.004 0.088
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 6 0.7554 0.163870 0.020 0.184 0.000 0.328 0.100 0.368
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 2 0.3956 0.546701 0.000 0.684 0.000 0.000 0.292 0.024
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.2924 0.823700 0.864 0.000 0.000 0.024 0.084 0.028
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 4 0.2384 0.581137 0.016 0.000 0.000 0.900 0.044 0.040
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.0984 0.895696 0.968 0.000 0.000 0.012 0.012 0.008
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 5 0.3774 0.406487 0.000 0.000 0.408 0.000 0.592 0.000
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 6 0.3859 0.462239 0.000 0.020 0.000 0.288 0.000 0.692
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 6 0.3612 0.678032 0.000 0.100 0.000 0.104 0.000 0.796
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.0837 0.912463 0.972 0.000 0.000 0.020 0.004 0.004
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.0146 0.910673 0.996 0.000 0.000 0.004 0.000 0.000
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 4 0.5297 0.020739 0.000 0.008 0.000 0.476 0.076 0.440
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 2 0.1218 0.794676 0.000 0.956 0.000 0.004 0.012 0.028
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 6 0.6482 -0.111356 0.020 0.000 0.000 0.284 0.292 0.404
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 1 0.1269 0.895937 0.956 0.000 0.000 0.012 0.012 0.020
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 4 0.3000 0.558797 0.000 0.048 0.000 0.864 0.024 0.064
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 4 0.4646 0.318547 0.332 0.000 0.000 0.616 0.004 0.048
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.0603 0.912872 0.980 0.000 0.000 0.016 0.000 0.004
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 4 0.2382 0.581737 0.020 0.004 0.000 0.904 0.048 0.024
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.3738 0.598760 0.000 0.740 0.000 0.012 0.012 0.236
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 5 0.3899 0.407335 0.000 0.004 0.404 0.000 0.592 0.000
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 6 0.3470 0.669594 0.000 0.152 0.000 0.052 0.000 0.796
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.0146 0.807613 0.000 0.996 0.000 0.000 0.000 0.004
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.0603 0.912872 0.980 0.000 0.000 0.016 0.000 0.004
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 2 0.1959 0.776305 0.000 0.924 0.000 0.024 0.020 0.032
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 4 0.3052 0.551117 0.000 0.076 0.000 0.852 0.008 0.064
#> BE56F908-42DD-4019-A8AC-48884DA788B1 4 0.3013 0.564088 0.000 0.044 0.000 0.864 0.028 0.064
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 6 0.4454 0.643327 0.000 0.056 0.012 0.064 0.088 0.780
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 4 0.5361 0.492442 0.004 0.000 0.000 0.568 0.308 0.120
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 4 0.5897 0.481761 0.012 0.000 0.016 0.556 0.300 0.116
#> 791D9EB8-42E0-4192-B064-B1126CA14481 6 0.3284 0.646156 0.000 0.196 0.000 0.020 0.000 0.784
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 2 0.0363 0.805765 0.000 0.988 0.000 0.000 0.012 0.000
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 2 0.0870 0.801330 0.000 0.972 0.000 0.004 0.012 0.012
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.0748 0.905153 0.976 0.000 0.000 0.016 0.004 0.004
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.1493 0.887615 0.936 0.000 0.000 0.056 0.004 0.004
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 3 0.0622 0.747921 0.000 0.000 0.980 0.000 0.012 0.008
#> D47C7B74-BB01-4614-B683-652F7130729C 2 0.0291 0.806253 0.000 0.992 0.000 0.004 0.004 0.000
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 4 0.3563 0.294453 0.000 0.000 0.000 0.664 0.000 0.336
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 4 0.3541 0.397686 0.000 0.012 0.000 0.728 0.000 0.260
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.0653 0.912454 0.980 0.000 0.000 0.012 0.004 0.004
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.0547 0.804807 0.000 0.980 0.000 0.000 0.000 0.020
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.0603 0.912872 0.980 0.000 0.000 0.016 0.000 0.004
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 4 0.2500 0.541646 0.000 0.004 0.000 0.868 0.012 0.116
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 2 0.1610 0.776201 0.000 0.916 0.000 0.000 0.000 0.084
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 5 0.5884 0.234367 0.000 0.188 0.216 0.000 0.572 0.024
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 1 0.1509 0.889841 0.948 0.000 0.024 0.008 0.008 0.012
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 1 0.0858 0.909431 0.968 0.000 0.000 0.028 0.000 0.004
#> 58F11B66-AE40-417E-B465-811C6CF7311C 4 0.3184 0.561976 0.084 0.032 0.000 0.856 0.012 0.016
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.0603 0.903463 0.980 0.000 0.000 0.016 0.000 0.004
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 4 0.4811 0.354023 0.000 0.328 0.000 0.616 0.020 0.036
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 4 0.5244 0.299605 0.000 0.360 0.000 0.560 0.020 0.060
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 2 0.1267 0.788588 0.000 0.940 0.000 0.000 0.000 0.060
#> 739952C6-FF36-4E34-B881-E02FE17C4012 4 0.7160 0.022706 0.184 0.000 0.000 0.392 0.108 0.316
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 1 0.1949 0.873303 0.924 0.000 0.000 0.020 0.036 0.020
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 2 0.1167 0.799583 0.000 0.960 0.000 0.008 0.012 0.020
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 4 0.6111 0.137990 0.040 0.000 0.000 0.504 0.120 0.336
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 4 0.7355 0.289911 0.260 0.000 0.000 0.332 0.300 0.108
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 1 0.0837 0.912463 0.972 0.000 0.000 0.020 0.004 0.004
#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 5 0.6852 -0.298343 0.052 0.000 0.000 0.344 0.372 0.232
#> F6B26185-139B-47A7-91EC-E885D94AC882 4 0.5901 0.095463 0.012 0.004 0.000 0.484 0.128 0.372
#> 81F30B6F-3E9A-4913-986B-C56D5F107A17 4 0.7156 -0.039396 0.008 0.124 0.000 0.392 0.116 0.360
#> 2CCB3AE1-0D27-4493-B7AE-67C60BBC1C38 5 0.3993 0.406191 0.000 0.008 0.400 0.000 0.592 0.000
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#> 8879C57E-8876-462F-810E-EE07C2F541AD 5 0.5196 0.360203 0.000 0.004 0.320 0.012 0.596 0.068
#> 130C8FBD-8D78-4212-8DD6-301EDFA339A9 4 0.2138 0.577321 0.012 0.012 0.000 0.920 0.028 0.028
#> 6C1FF3E9-0A8B-4B02-B0E9-EEF333E53592 2 0.2912 0.669501 0.000 0.784 0.000 0.000 0.000 0.216
#> 726497B7-C557-4D5C-A926-6DDA6136C899 2 0.4225 0.589033 0.000 0.712 0.000 0.012 0.036 0.240
#> 2299CD19-BF08-404C-B1BF-B570F12CCEF8 2 0.3592 0.672634 0.000 0.812 0.000 0.124 0.020 0.044
#> E8BCBDC5-E34E-422F-86C2-A4B30400EC86 3 0.2762 0.585224 0.000 0.000 0.804 0.000 0.196 0.000
#> B9EF0525-8B4A-4306-B06B-35AC457F5F48 6 0.3996 -0.002938 0.000 0.484 0.000 0.004 0.000 0.512
#> F663E106-4E34-46C8-9CD9-AE5E9B8B27F0 6 0.3894 0.665410 0.000 0.076 0.000 0.052 0.064 0.808
#> 94E26CD5-238B-4D8C-B8E8-A62C44EB2B41 2 0.6712 -0.075079 0.000 0.392 0.000 0.360 0.048 0.200
#> 135743C3-829E-46DC-BBA9-FF07C8067612 1 0.0603 0.912872 0.980 0.000 0.000 0.016 0.000 0.004
#> CBD7775A-2802-4EB7-9F62-6B80D7667AED 4 0.4144 0.489568 0.224 0.000 0.000 0.728 0.016 0.032
#> BD6DAD3D-2D5F-4560-9A4C-70D8A1D49732 1 0.0363 0.910822 0.988 0.000 0.000 0.012 0.000 0.000
#> ED86F92E-6B39-4C0C-9A60-870984F53C4D 1 0.0260 0.911791 0.992 0.000 0.000 0.008 0.000 0.000
#> CD3B289F-FAE1-405F-875F-23C1D2609DFC 4 0.3243 0.548795 0.136 0.020 0.000 0.828 0.012 0.004
#> D1C0E70B-B2BB-4FE7-8DEC-B50659739BAA 2 0.1327 0.786401 0.000 0.936 0.000 0.000 0.000 0.064
#> D2417A9C-CBF0-47F6-B20C-FB32AF632A84 6 0.3482 0.661824 0.000 0.068 0.000 0.116 0.004 0.812
#> EF5618C6-6AFB-4FB5-A32B-7946F18E9736 1 0.3175 0.653972 0.744 0.000 0.000 0.256 0.000 0.000
#> 36040CAB-FF77-4540-BB44-7961A6A54B29 2 0.1562 0.787327 0.000 0.940 0.000 0.004 0.024 0.032
#> 3808C3A9-22DA-4DC5-9F51-884A7EF574E6 4 0.5084 0.521923 0.016 0.000 0.000 0.648 0.244 0.092
#> 24363857-9A33-40D4-8409-C17225570833 4 0.2570 0.566181 0.000 0.076 0.000 0.884 0.024 0.016
#> A57E6132-9B76-493A-A167-8462263B7CDB 6 0.3767 0.658182 0.016 0.064 0.000 0.120 0.000 0.800
#> 4C020890-E652-4DE4-B66D-5F6F71405F64 4 0.2030 0.579256 0.008 0.016 0.000 0.924 0.036 0.016
#> 90C991CD-412E-4318-96E3-EB84B868FE9F 2 0.1245 0.793293 0.000 0.952 0.000 0.000 0.016 0.032
#> FA8E73EA-649C-43ED-854E-B9472820D1C6 4 0.4246 0.124054 0.000 0.020 0.000 0.580 0.000 0.400
#> 4D46B5DE-186A-4D35-8E1B-64701C13BC69 5 0.3899 0.407335 0.000 0.004 0.404 0.000 0.592 0.000
#> D516A82D-2F77-46B2-90F7-30BA5C78AAC8 2 0.1663 0.773071 0.000 0.912 0.000 0.000 0.000 0.088
#> 1FBD0805-13AE-4A82-8B94-640E1C921262 3 0.0000 0.755559 0.000 0.000 1.000 0.000 0.000 0.000
#> 264525A9-F7DB-4012-A93B-CF8A7626F125 5 0.3993 0.406191 0.000 0.008 0.400 0.000 0.592 0.000
#> AFF029D8-FFC9-4AA9-8049-F1E27C743F6F 4 0.4514 0.531435 0.000 0.056 0.012 0.776 0.084 0.072
#> 5B65768D-0E81-4469-9D69-69B07ED5ACD5 2 0.6239 0.249078 0.008 0.540 0.000 0.048 0.108 0.296
#> 2CB06CA6-8D1F-4BC7-99BE-66921805B8FD 2 0.3668 0.496897 0.000 0.668 0.000 0.004 0.000 0.328
#> 956357FB-9AB3-497C-BB55-9D15B486A422 4 0.5620 0.135771 0.016 0.000 0.000 0.512 0.100 0.372
#> C8F2BAD0-7124-46BF-975C-4B44BE980F93 1 0.0653 0.907482 0.980 0.000 0.000 0.012 0.004 0.004
#> E96AE267-3E23-4EA9-93E2-D92558155A17 3 0.0146 0.754368 0.000 0.000 0.996 0.000 0.004 0.000
#> 1C8DCA5B-965B-485A-83B6-5CBEB2117E47 4 0.5287 0.331955 0.000 0.308 0.000 0.592 0.016 0.084
#> DEAB79F5-336A-49B4-8046-AEE2F567FE46 1 0.0000 0.909719 1.000 0.000 0.000 0.000 0.000 0.000
#> 767FE89E-E19F-4F56-A744-CB3C5CCC085B 4 0.3575 0.526685 0.000 0.092 0.000 0.816 0.012 0.080
#> 7B0BF632-79E5-46B5-AAC8-4A6D5A193449 5 0.3774 0.406487 0.000 0.000 0.408 0.000 0.592 0.000
#> 9A281EDE-FF96-4E66-AEF4-692BDFA8E99D 6 0.3431 0.613186 0.000 0.228 0.000 0.016 0.000 0.756
#> B8C2D019-00C9-4E1E-8383-4FE2FFB4D2D7 3 0.0000 0.755559 0.000 0.000 1.000 0.000 0.000 0.000
#> 39A9B95F-186B-4550-9271-001151B1A626 2 0.0260 0.807367 0.000 0.992 0.000 0.000 0.000 0.008
#> CAD6E491-88FB-4221-90E9-AC9C68AECCB0 4 0.1457 0.579136 0.016 0.004 0.000 0.948 0.004 0.028
#> 15EFBC5B-C713-4718-BB6F-0EBBE4D6997F 2 0.5547 0.154713 0.000 0.508 0.000 0.148 0.000 0.344
#> BBA00038-09B1-461D-9F8E-484890B0D130 4 0.2735 0.582827 0.008 0.028 0.000 0.888 0.048 0.028
#> 16EBB885-A692-42A6-9027-F6AD769E0ABB 1 0.2714 0.828628 0.880 0.000 0.000 0.036 0.064 0.020
#> 2D57E24B-97A6-4B85-BC8F-3E02DDC6C460 2 0.2527 0.750563 0.000 0.880 0.000 0.004 0.084 0.032
#> C6E39F86-9DEF-4BCA-930B-2A3993D18901 2 0.3847 0.209453 0.000 0.544 0.000 0.000 0.000 0.456
#> 5BE4D8E9-DA18-426F-8AE6-075B15010390 5 0.6580 -0.240829 0.024 0.000 0.000 0.324 0.372 0.280
#> 8E9CAAC7-31D3-473C-821C-2DAD37B44D3A 2 0.0260 0.807367 0.000 0.992 0.000 0.000 0.000 0.008
#> 368CFCA3-7BAB-4D6D-9AE1-55713A9965C1 3 0.6155 0.336198 0.004 0.000 0.548 0.068 0.296 0.084
#> 14DB79EF-DE2B-4197-AD32-F657E0655FCD 4 0.4999 0.344339 0.000 0.092 0.000 0.652 0.012 0.244
#> E73BCFCB-C5FE-4BF2-A236-B9E69711C121 4 0.3050 0.578197 0.008 0.008 0.000 0.860 0.044 0.080
#> CDAFAFEA-365B-4F25-AEC0-639B6E0CB626 4 0.3286 0.534667 0.000 0.044 0.000 0.836 0.016 0.104
#> 48A2AAEB-7F60-4284-808E-2058A531B17C 2 0.0146 0.807480 0.000 0.996 0.000 0.000 0.000 0.004
#> D4276C6F-9F0F-4F74-A85E-1E54272ADDED 2 0.0146 0.807480 0.000 0.996 0.000 0.000 0.000 0.004
#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 2 0.3126 0.600238 0.000 0.752 0.000 0.000 0.000 0.248
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 4 0.5097 0.295337 0.000 0.344 0.000 0.584 0.020 0.052
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 5 0.5398 0.349850 0.000 0.008 0.388 0.024 0.536 0.044
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 1 0.1275 0.894112 0.956 0.000 0.000 0.016 0.016 0.012
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 3 0.4915 0.435668 0.004 0.000 0.640 0.056 0.288 0.012
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 6 0.6081 0.242702 0.064 0.004 0.000 0.372 0.064 0.496
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 1 0.0653 0.912454 0.980 0.000 0.000 0.012 0.004 0.004
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 4 0.2562 0.504487 0.000 0.000 0.000 0.828 0.000 0.172
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 6 0.3017 0.681970 0.000 0.108 0.000 0.052 0.000 0.840
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 4 0.5216 0.197317 0.000 0.396 0.000 0.532 0.020 0.052
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 2 0.1444 0.782292 0.000 0.928 0.000 0.000 0.000 0.072
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 4 0.1088 0.574501 0.016 0.000 0.000 0.960 0.000 0.024
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 2 0.2969 0.653400 0.000 0.776 0.000 0.000 0.000 0.224
#> C7997523-47CF-40F0-8803-AB873E38033C 6 0.3315 0.642963 0.000 0.200 0.000 0.020 0.000 0.780
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 2 0.3803 0.695363 0.000 0.792 0.004 0.004 0.128 0.072
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 5 0.3774 0.406487 0.000 0.000 0.408 0.000 0.592 0.000
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 3 0.4719 0.222732 0.408 0.000 0.556 0.004 0.012 0.020
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 1 0.0436 0.910750 0.988 0.000 0.000 0.004 0.004 0.004
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 2 0.1682 0.789146 0.000 0.928 0.000 0.000 0.020 0.052
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 4 0.5424 0.081437 0.000 0.444 0.000 0.464 0.012 0.080
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 3 0.0000 0.755559 0.000 0.000 1.000 0.000 0.000 0.000
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 6 0.3404 0.615971 0.000 0.224 0.000 0.016 0.000 0.760
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 4 0.6442 0.385245 0.044 0.000 0.000 0.432 0.372 0.152
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.0363 0.912651 0.988 0.000 0.000 0.012 0.000 0.000
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 4 0.4924 0.549353 0.028 0.004 0.000 0.712 0.160 0.096
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 1 0.6016 0.435236 0.572 0.000 0.000 0.036 0.192 0.200
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 2 0.7042 0.185534 0.000 0.464 0.020 0.088 0.312 0.116
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 4 0.4080 0.514840 0.000 0.088 0.000 0.780 0.020 0.112
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 2 0.0436 0.806762 0.000 0.988 0.000 0.004 0.004 0.004
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 2 0.0972 0.803756 0.000 0.964 0.000 0.008 0.000 0.028
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.0964 0.900807 0.968 0.000 0.000 0.016 0.004 0.012
#> E15EAAB4-0860-4716-9922-667F604CDF12 4 0.5769 0.482607 0.028 0.000 0.000 0.556 0.304 0.112
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 6 0.2782 0.613455 0.000 0.024 0.000 0.068 0.032 0.876
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 4 0.5792 0.495209 0.028 0.004 0.000 0.576 0.284 0.108
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 4 0.7573 0.358275 0.016 0.004 0.152 0.424 0.276 0.128
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.0547 0.912761 0.980 0.000 0.000 0.020 0.000 0.000
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 2 0.0291 0.807307 0.000 0.992 0.000 0.000 0.004 0.004
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 2 0.1204 0.790138 0.000 0.944 0.000 0.000 0.000 0.056
#> E2A4C651-977F-4F40-B5EC-46DF75944141 6 0.6490 -0.115078 0.020 0.000 0.000 0.268 0.320 0.392
#> 433599CC-9DF5-4494-A607-8079FFE74D95 4 0.4981 0.160153 0.000 0.432 0.000 0.516 0.020 0.032
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 6 0.5957 0.174134 0.000 0.076 0.004 0.368 0.044 0.508
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 5 0.3899 0.407335 0.000 0.004 0.404 0.000 0.592 0.000
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.0547 0.911619 0.980 0.000 0.000 0.020 0.000 0.000
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 4 0.5743 0.504980 0.008 0.016 0.000 0.572 0.292 0.112
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 5 0.6694 -0.218419 0.032 0.000 0.000 0.292 0.372 0.304
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.0000 0.755559 0.000 0.000 1.000 0.000 0.000 0.000
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 5 0.3774 0.406487 0.000 0.000 0.408 0.000 0.592 0.000
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 5 0.3774 0.406487 0.000 0.000 0.408 0.000 0.592 0.000
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.0146 0.807480 0.000 0.996 0.000 0.000 0.000 0.004
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 4 0.1452 0.577539 0.000 0.012 0.000 0.948 0.020 0.020
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.0405 0.807385 0.000 0.988 0.000 0.000 0.004 0.008
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.4585 0.658440 0.732 0.000 0.000 0.024 0.088 0.156
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 5 0.3774 0.406487 0.000 0.000 0.408 0.000 0.592 0.000
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.0458 0.911091 0.984 0.000 0.000 0.016 0.000 0.000
#> 057B580C-13FD-4185-943C-9DD5266B8554 4 0.6118 0.499497 0.012 0.036 0.000 0.564 0.276 0.112
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 4 0.5918 0.489098 0.012 0.004 0.000 0.552 0.248 0.184
#> 287F3696-25CF-4E67-A934-E50856AD4790 2 0.4072 0.579962 0.000 0.704 0.004 0.000 0.260 0.032
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.2378 0.725762 0.000 0.848 0.000 0.000 0.000 0.152
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 6 0.6486 -0.209721 0.016 0.000 0.000 0.320 0.316 0.348
#> B80A74AB-A264-4396-93F8-FD976DBC1456 5 0.3899 0.407335 0.000 0.004 0.404 0.000 0.592 0.000
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.0976 0.801901 0.000 0.968 0.000 0.016 0.008 0.008
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.2584 0.787550 0.848 0.000 0.000 0.144 0.004 0.004
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.5583 0.084465 0.504 0.000 0.000 0.400 0.060 0.036
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 2 0.3031 0.707504 0.000 0.852 0.000 0.100 0.016 0.032
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 5 0.3899 0.407335 0.000 0.004 0.404 0.000 0.592 0.000
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 6 0.3448 0.530803 0.000 0.280 0.000 0.004 0.000 0.716
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.3346 0.791863 0.840 0.000 0.000 0.024 0.080 0.056
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 4 0.4884 0.550640 0.004 0.024 0.000 0.716 0.112 0.144
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.0260 0.807367 0.000 0.992 0.000 0.000 0.000 0.008
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.3659 0.776818 0.820 0.000 0.000 0.036 0.092 0.052
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 6 0.3315 0.643104 0.000 0.200 0.000 0.020 0.000 0.780
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 5 0.6582 0.078174 0.000 0.316 0.016 0.136 0.492 0.040
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 4 0.4258 0.530220 0.000 0.132 0.000 0.768 0.032 0.068
#> DD292494-92A2-43CB-B59B-726B2F429B29 4 0.5190 -0.051599 0.000 0.088 0.000 0.464 0.000 0.448
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 5 0.6813 -0.247863 0.044 0.000 0.000 0.324 0.372 0.260
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 4 0.1714 0.551775 0.000 0.000 0.000 0.908 0.000 0.092
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 4 0.5065 0.336934 0.000 0.352 0.000 0.580 0.020 0.048
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 6 0.7735 0.111302 0.008 0.240 0.000 0.244 0.160 0.348
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 4 0.5921 0.492473 0.036 0.004 0.000 0.568 0.284 0.108
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.1269 0.895937 0.956 0.000 0.000 0.012 0.012 0.020
#> 74CF740D-201D-4070-99B9-F007E7C4D472 6 0.6452 -0.091983 0.020 0.000 0.000 0.252 0.320 0.408
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 6 0.3917 0.668521 0.000 0.140 0.000 0.040 0.032 0.788
#> 78F28873-E471-497A-9405-FB8955808599 5 0.3899 0.406215 0.000 0.000 0.404 0.000 0.592 0.004
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.0146 0.807480 0.000 0.996 0.000 0.000 0.000 0.004
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.0260 0.807367 0.000 0.992 0.000 0.000 0.000 0.008
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 4 0.4868 0.000514 0.000 0.052 0.000 0.548 0.004 0.396
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 17397 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 1.000 0.960 0.984 0.5015 0.499 0.499
#> 3 3 0.830 0.876 0.944 0.3059 0.767 0.569
#> 4 4 0.642 0.708 0.845 0.1421 0.850 0.602
#> 5 5 0.702 0.567 0.770 0.0619 0.866 0.554
#> 6 6 0.708 0.595 0.783 0.0403 0.908 0.615
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
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 2 0.0000 0.9849 0.000 1.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.0000 0.9819 1.000 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 1 0.0000 0.9819 1.000 0.000
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.0000 0.9819 1.000 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.0000 0.9819 1.000 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.0000 0.9819 1.000 0.000
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.0000 0.9849 0.000 1.000
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.0000 0.9849 0.000 1.000
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.0000 0.9819 1.000 0.000
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 1 0.0000 0.9819 1.000 0.000
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 1 0.0376 0.9784 0.996 0.004
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 2 0.0000 0.9849 0.000 1.000
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.0000 0.9819 1.000 0.000
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 1 0.0000 0.9819 1.000 0.000
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.0000 0.9819 1.000 0.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 2 0.0000 0.9849 0.000 1.000
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 2 0.0376 0.9814 0.004 0.996
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 1 0.6712 0.7836 0.824 0.176
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.0000 0.9819 1.000 0.000
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.0000 0.9819 1.000 0.000
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 2 0.0000 0.9849 0.000 1.000
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 2 0.0000 0.9849 0.000 1.000
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 1 0.0000 0.9819 1.000 0.000
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 1 0.0000 0.9819 1.000 0.000
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 2 0.1184 0.9707 0.016 0.984
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 1 0.0000 0.9819 1.000 0.000
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.0000 0.9819 1.000 0.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 1 0.0000 0.9819 1.000 0.000
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.0000 0.9849 0.000 1.000
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 2 0.0000 0.9849 0.000 1.000
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 1 0.3879 0.9074 0.924 0.076
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.0000 0.9849 0.000 1.000
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.0000 0.9819 1.000 0.000
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 2 0.0000 0.9849 0.000 1.000
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 1 0.7674 0.7113 0.776 0.224
#> BE56F908-42DD-4019-A8AC-48884DA788B1 2 0.0000 0.9849 0.000 1.000
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 2 0.0000 0.9849 0.000 1.000
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 1 0.0000 0.9819 1.000 0.000
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 1 0.0000 0.9819 1.000 0.000
#> 791D9EB8-42E0-4192-B064-B1126CA14481 2 0.0000 0.9849 0.000 1.000
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 2 0.0000 0.9849 0.000 1.000
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 2 0.0000 0.9849 0.000 1.000
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.0000 0.9819 1.000 0.000
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.0000 0.9819 1.000 0.000
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 2 0.0000 0.9849 0.000 1.000
#> D47C7B74-BB01-4614-B683-652F7130729C 2 0.0000 0.9849 0.000 1.000
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 1 0.0000 0.9819 1.000 0.000
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 2 0.3114 0.9306 0.056 0.944
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.0000 0.9819 1.000 0.000
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.0000 0.9849 0.000 1.000
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.0000 0.9819 1.000 0.000
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 1 0.0000 0.9819 1.000 0.000
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 2 0.0000 0.9849 0.000 1.000
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 2 0.0000 0.9849 0.000 1.000
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 1 0.0000 0.9819 1.000 0.000
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 1 0.0000 0.9819 1.000 0.000
#> 58F11B66-AE40-417E-B465-811C6CF7311C 1 0.0000 0.9819 1.000 0.000
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.0000 0.9819 1.000 0.000
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 2 0.0000 0.9849 0.000 1.000
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 2 0.0000 0.9849 0.000 1.000
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 2 0.0000 0.9849 0.000 1.000
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#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 1 0.0000 0.9819 1.000 0.000
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 2 0.0000 0.9849 0.000 1.000
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 1 0.0000 0.9819 1.000 0.000
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 1 0.0000 0.9819 1.000 0.000
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 1 0.0000 0.9819 1.000 0.000
#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 1 0.0000 0.9819 1.000 0.000
#> F6B26185-139B-47A7-91EC-E885D94AC882 1 0.9087 0.5249 0.676 0.324
#> 81F30B6F-3E9A-4913-986B-C56D5F107A17 2 0.1184 0.9706 0.016 0.984
#> 2CCB3AE1-0D27-4493-B7AE-67C60BBC1C38 2 0.0000 0.9849 0.000 1.000
#> 329665BC-B959-47C5-B831-5546F94EDAC1 2 0.0000 0.9849 0.000 1.000
#> 8D4335F6-6ACB-4E38-B9F2-A2B5B647AE90 1 0.0000 0.9819 1.000 0.000
#> D181D0D8-FD8C-4259-9B34-97224CF27E1B 2 0.0000 0.9849 0.000 1.000
#> C0C10950-ABC5-4125-A33E-5AFA2D2574B0 2 0.0000 0.9849 0.000 1.000
#> 834D12DB-0925-422C-B15B-20A60A5F658C 2 0.0000 0.9849 0.000 1.000
#> 50314689-519F-4B27-884C-7816DD64CF4E 1 0.0000 0.9819 1.000 0.000
#> 2502A23E-E168-4A78-9C14-B93FBC9715B1 1 0.0000 0.9819 1.000 0.000
#> 3F8D01A3-5449-48A1-BDBA-BFE4D908AE31 2 0.0000 0.9849 0.000 1.000
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#> 1329E1C1-743E-4541-9081-165572D4BF47 2 0.8499 0.6171 0.276 0.724
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#> 50F69785-8B7A-4933-85B1-8DC539ACC72A 1 0.0000 0.9819 1.000 0.000
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#> B6BF8C22-03E4-44F0-B2EF-2A3DD6ADE7D7 1 0.0000 0.9819 1.000 0.000
#> D6A907FC-3A1B-4E3B-A440-1CE9BE9B334B 2 0.0000 0.9849 0.000 1.000
#> 02588D5D-89CB-4D0B-9E96-A0270C3FF866 2 0.0000 0.9849 0.000 1.000
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#> 47F6E197-7164-4289-95B5-8FD305A13B4C 1 0.0000 0.9819 1.000 0.000
#> 4522D871-9379-4643-B15E-9ACB556276C4 1 0.0376 0.9784 0.996 0.004
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#> 38F5957E-0A99-432D-8F0B-B48E03F17668 1 0.0000 0.9819 1.000 0.000
#> 7A6BBBE6-2B3B-44EB-A101-C823739AB24F 2 0.0000 0.9849 0.000 1.000
#> 0782D25A-3B14-499E-A40C-3852B3A15B8B 2 0.0000 0.9849 0.000 1.000
#> 31D4B639-D1E5-479B-AEC2-34F758F2E470 1 0.0000 0.9819 1.000 0.000
#> C49078E1-E730-4E81-8EAE-5AAAB9FA1BF5 2 0.0000 0.9849 0.000 1.000
#> 48BCD3B8-917F-4E8F-BCEA-1363570A6486 2 0.5737 0.8389 0.136 0.864
#> F3BA6259-9F68-47D0-ABDD-1272AE112CAB 2 0.0000 0.9849 0.000 1.000
#> 3CA49BB1-30F6-47F3-A751-D5601E16BDBA 2 0.0000 0.9849 0.000 1.000
#> 47747595-686A-46B5-9EF4-A4CFB85D746D 1 0.2423 0.9454 0.960 0.040
#> 87974EFF-C2DE-4930-93E3-015E6D996440 2 0.0000 0.9849 0.000 1.000
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#> C4C7C112-555F-46D5-8D5D-411C7737A4C9 1 0.8499 0.6227 0.724 0.276
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#> 4405F995-AE79-46F9-BFEE-81CAECF42BAE 1 0.6887 0.7728 0.816 0.184
#> 681D8638-84E1-43B9-93A9-3189560D8611 1 0.0000 0.9819 1.000 0.000
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#> C11294C4-9285-4BC2-B0F6-98054A63CF50 1 0.0000 0.9819 1.000 0.000
#> 688EFD86-95DA-4442-87F0-DBF9E6B549FD 2 0.0000 0.9849 0.000 1.000
#> F23B0A1A-25AE-41D9-8C49-B692C4FDE1E4 1 0.0000 0.9819 1.000 0.000
#> 1809618E-A051-4758-BC59-B04E23FB3A42 2 0.0000 0.9849 0.000 1.000
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#> B6752B47-317E-4C9A-8BAE-E265FFC8E755 2 0.0000 0.9849 0.000 1.000
#> D50BAB19-5050-4C27-9F6B-6CB1C865552D 2 0.0000 0.9849 0.000 1.000
#> 4664FF20-60E6-4FBD-9760-5F543F725443 2 0.0000 0.9849 0.000 1.000
#> 655B32BE-AC22-4E6C-97D2-CC6B7F06B55E 1 0.0000 0.9819 1.000 0.000
#> FCE788C2-DBF8-4083-9EA2-10A08B857E9C 2 0.0000 0.9849 0.000 1.000
#> C4438C6E-8920-482D-A4A9-84FDB3EDBF21 1 0.0000 0.9819 1.000 0.000
#> F4F8D7E7-98B9-4145-9F69-5A1684997C87 2 0.0000 0.9849 0.000 1.000
#> 433CED6F-A9DE-444E-9A11-8929A3EFEC9B 1 0.0000 0.9819 1.000 0.000
#> C3FDCD45-2013-4BA2-BEAF-5ED6A3393783 1 0.0000 0.9819 1.000 0.000
#> 9ECE4E94-28D5-4692-82D4-5B7FA882543C 1 0.0000 0.9819 1.000 0.000
#> DC7CE58E-0EA8-4DDD-8AC4-DC5D5E8E7E3B 2 0.0000 0.9849 0.000 1.000
#> 67A7E9D8-C2A0-4B52-95BD-BDB781E7A9D5 2 0.0000 0.9849 0.000 1.000
#> 21FB1823-0E28-4F50-8546-D0F0847B1733 2 0.0000 0.9849 0.000 1.000
#> 93618EAD-7723-4616-BBB2-2D65E45EE3D2 1 0.0000 0.9819 1.000 0.000
#> 4864A82F-B571-4665-82FA-9BBEF2141C99 2 0.0000 0.9849 0.000 1.000
#> A34C537D-632D-4992-958D-5B85D190382C 1 0.0000 0.9819 1.000 0.000
#> 1ACE6BB9-A332-42DD-BA4F-E9902DB413AA 2 0.0000 0.9849 0.000 1.000
#> E3C1D3D8-1C78-4C16-B0E5-56B5CCE3C6B4 1 0.0000 0.9819 1.000 0.000
#> 1B0FE71F-DD59-45F7-BA73-E8BEEB7349A8 1 0.0000 0.9819 1.000 0.000
#> 8756589A-8352-4CDA-9297-D4C146D1DF47 1 0.0000 0.9819 1.000 0.000
#> E013D176-4FCB-4DF5-93F0-72803590B677 2 0.0000 0.9849 0.000 1.000
#> D0CCA6E0-8557-491C-AB82-289DF53E57FA 1 0.0376 0.9784 0.996 0.004
#> 933DB910-2728-4DC4-840E-B0CD1F13A421 2 0.0000 0.9849 0.000 1.000
#> 93910528-D681-4C69-86FD-326293B2F1C1 2 0.0672 0.9779 0.008 0.992
#> 3C9FDA2A-01C8-4F17-BBF1-5CAEAE3764D4 1 0.0000 0.9819 1.000 0.000
#> 8879C57E-8876-462F-810E-EE07C2F541AD 2 0.0000 0.9849 0.000 1.000
#> 130C8FBD-8D78-4212-8DD6-301EDFA339A9 1 0.0000 0.9819 1.000 0.000
#> 6C1FF3E9-0A8B-4B02-B0E9-EEF333E53592 2 0.0000 0.9849 0.000 1.000
#> 726497B7-C557-4D5C-A926-6DDA6136C899 2 0.0000 0.9849 0.000 1.000
#> 2299CD19-BF08-404C-B1BF-B570F12CCEF8 2 0.0000 0.9849 0.000 1.000
#> E8BCBDC5-E34E-422F-86C2-A4B30400EC86 2 0.0000 0.9849 0.000 1.000
#> B9EF0525-8B4A-4306-B06B-35AC457F5F48 2 0.0000 0.9849 0.000 1.000
#> F663E106-4E34-46C8-9CD9-AE5E9B8B27F0 2 0.0000 0.9849 0.000 1.000
#> 94E26CD5-238B-4D8C-B8E8-A62C44EB2B41 2 0.4298 0.8950 0.088 0.912
#> 135743C3-829E-46DC-BBA9-FF07C8067612 1 0.0000 0.9819 1.000 0.000
#> CBD7775A-2802-4EB7-9F62-6B80D7667AED 1 0.0000 0.9819 1.000 0.000
#> BD6DAD3D-2D5F-4560-9A4C-70D8A1D49732 1 0.0000 0.9819 1.000 0.000
#> ED86F92E-6B39-4C0C-9A60-870984F53C4D 1 0.0000 0.9819 1.000 0.000
#> CD3B289F-FAE1-405F-875F-23C1D2609DFC 1 0.0000 0.9819 1.000 0.000
#> D1C0E70B-B2BB-4FE7-8DEC-B50659739BAA 2 0.0000 0.9849 0.000 1.000
#> D2417A9C-CBF0-47F6-B20C-FB32AF632A84 1 0.0000 0.9819 1.000 0.000
#> EF5618C6-6AFB-4FB5-A32B-7946F18E9736 1 0.0000 0.9819 1.000 0.000
#> 36040CAB-FF77-4540-BB44-7961A6A54B29 2 0.0000 0.9849 0.000 1.000
#> 3808C3A9-22DA-4DC5-9F51-884A7EF574E6 1 0.0000 0.9819 1.000 0.000
#> 24363857-9A33-40D4-8409-C17225570833 1 0.9427 0.4418 0.640 0.360
#> A57E6132-9B76-493A-A167-8462263B7CDB 1 0.0000 0.9819 1.000 0.000
#> 4C020890-E652-4DE4-B66D-5F6F71405F64 1 0.0000 0.9819 1.000 0.000
#> 90C991CD-412E-4318-96E3-EB84B868FE9F 2 0.0000 0.9849 0.000 1.000
#> FA8E73EA-649C-43ED-854E-B9472820D1C6 2 0.3584 0.9178 0.068 0.932
#> 4D46B5DE-186A-4D35-8E1B-64701C13BC69 2 0.0000 0.9849 0.000 1.000
#> D516A82D-2F77-46B2-90F7-30BA5C78AAC8 2 0.0000 0.9849 0.000 1.000
#> 1FBD0805-13AE-4A82-8B94-640E1C921262 2 0.0000 0.9849 0.000 1.000
#> 264525A9-F7DB-4012-A93B-CF8A7626F125 2 0.0000 0.9849 0.000 1.000
#> AFF029D8-FFC9-4AA9-8049-F1E27C743F6F 2 0.0000 0.9849 0.000 1.000
#> 5B65768D-0E81-4469-9D69-69B07ED5ACD5 2 0.6247 0.8099 0.156 0.844
#> 2CB06CA6-8D1F-4BC7-99BE-66921805B8FD 2 0.0000 0.9849 0.000 1.000
#> 956357FB-9AB3-497C-BB55-9D15B486A422 1 0.0000 0.9819 1.000 0.000
#> C8F2BAD0-7124-46BF-975C-4B44BE980F93 1 0.0000 0.9819 1.000 0.000
#> E96AE267-3E23-4EA9-93E2-D92558155A17 2 0.0000 0.9849 0.000 1.000
#> 1C8DCA5B-965B-485A-83B6-5CBEB2117E47 2 0.0000 0.9849 0.000 1.000
#> DEAB79F5-336A-49B4-8046-AEE2F567FE46 1 0.0000 0.9819 1.000 0.000
#> 767FE89E-E19F-4F56-A744-CB3C5CCC085B 1 0.8713 0.5911 0.708 0.292
#> 7B0BF632-79E5-46B5-AAC8-4A6D5A193449 2 0.0000 0.9849 0.000 1.000
#> 9A281EDE-FF96-4E66-AEF4-692BDFA8E99D 2 0.0000 0.9849 0.000 1.000
#> B8C2D019-00C9-4E1E-8383-4FE2FFB4D2D7 2 0.0000 0.9849 0.000 1.000
#> 39A9B95F-186B-4550-9271-001151B1A626 2 0.0000 0.9849 0.000 1.000
#> CAD6E491-88FB-4221-90E9-AC9C68AECCB0 1 0.0000 0.9819 1.000 0.000
#> 15EFBC5B-C713-4718-BB6F-0EBBE4D6997F 2 0.0000 0.9849 0.000 1.000
#> BBA00038-09B1-461D-9F8E-484890B0D130 1 0.0000 0.9819 1.000 0.000
#> 16EBB885-A692-42A6-9027-F6AD769E0ABB 1 0.0000 0.9819 1.000 0.000
#> 2D57E24B-97A6-4B85-BC8F-3E02DDC6C460 2 0.0000 0.9849 0.000 1.000
#> C6E39F86-9DEF-4BCA-930B-2A3993D18901 2 0.0000 0.9849 0.000 1.000
#> 5BE4D8E9-DA18-426F-8AE6-075B15010390 1 0.0000 0.9819 1.000 0.000
#> 8E9CAAC7-31D3-473C-821C-2DAD37B44D3A 2 0.0000 0.9849 0.000 1.000
#> 368CFCA3-7BAB-4D6D-9AE1-55713A9965C1 1 0.0000 0.9819 1.000 0.000
#> 14DB79EF-DE2B-4197-AD32-F657E0655FCD 2 0.0000 0.9849 0.000 1.000
#> E73BCFCB-C5FE-4BF2-A236-B9E69711C121 1 0.0000 0.9819 1.000 0.000
#> CDAFAFEA-365B-4F25-AEC0-639B6E0CB626 2 1.0000 -0.0104 0.500 0.500
#> 48A2AAEB-7F60-4284-808E-2058A531B17C 2 0.0000 0.9849 0.000 1.000
#> D4276C6F-9F0F-4F74-A85E-1E54272ADDED 2 0.0000 0.9849 0.000 1.000
#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 2 0.0000 0.9849 0.000 1.000
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 2 0.0000 0.9849 0.000 1.000
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 2 0.0000 0.9849 0.000 1.000
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 1 0.0000 0.9819 1.000 0.000
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 1 0.0376 0.9784 0.996 0.004
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 1 0.0000 0.9819 1.000 0.000
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 1 0.0000 0.9819 1.000 0.000
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 1 0.0000 0.9819 1.000 0.000
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 2 0.9552 0.3945 0.376 0.624
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 2 0.0000 0.9849 0.000 1.000
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 2 0.0000 0.9849 0.000 1.000
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 1 0.0000 0.9819 1.000 0.000
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 2 0.0000 0.9849 0.000 1.000
#> C7997523-47CF-40F0-8803-AB873E38033C 2 0.0000 0.9849 0.000 1.000
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 2 0.0000 0.9849 0.000 1.000
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 2 0.0000 0.9849 0.000 1.000
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 1 0.0000 0.9819 1.000 0.000
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 1 0.0000 0.9819 1.000 0.000
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 2 0.0000 0.9849 0.000 1.000
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 2 0.0000 0.9849 0.000 1.000
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 2 0.0000 0.9849 0.000 1.000
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 2 0.0000 0.9849 0.000 1.000
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 1 0.0000 0.9819 1.000 0.000
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.0000 0.9819 1.000 0.000
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 1 0.0000 0.9819 1.000 0.000
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 1 0.0000 0.9819 1.000 0.000
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 2 0.0000 0.9849 0.000 1.000
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 2 0.0000 0.9849 0.000 1.000
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 2 0.0000 0.9849 0.000 1.000
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 2 0.0000 0.9849 0.000 1.000
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.0000 0.9819 1.000 0.000
#> E15EAAB4-0860-4716-9922-667F604CDF12 1 0.0000 0.9819 1.000 0.000
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 2 0.0000 0.9849 0.000 1.000
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 1 0.0000 0.9819 1.000 0.000
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 2 0.0672 0.9779 0.008 0.992
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.0000 0.9819 1.000 0.000
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 2 0.0000 0.9849 0.000 1.000
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 2 0.0000 0.9849 0.000 1.000
#> E2A4C651-977F-4F40-B5EC-46DF75944141 1 0.0000 0.9819 1.000 0.000
#> 433599CC-9DF5-4494-A607-8079FFE74D95 2 0.0000 0.9849 0.000 1.000
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 2 0.0000 0.9849 0.000 1.000
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 2 0.0000 0.9849 0.000 1.000
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.0000 0.9819 1.000 0.000
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 1 0.0000 0.9819 1.000 0.000
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 1 0.0000 0.9819 1.000 0.000
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 2 0.0000 0.9849 0.000 1.000
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 2 0.0000 0.9849 0.000 1.000
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 2 0.0000 0.9849 0.000 1.000
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.0000 0.9849 0.000 1.000
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 1 0.0000 0.9819 1.000 0.000
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.0000 0.9849 0.000 1.000
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.0000 0.9819 1.000 0.000
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 2 0.0000 0.9849 0.000 1.000
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.0000 0.9819 1.000 0.000
#> 057B580C-13FD-4185-943C-9DD5266B8554 2 0.9954 0.1372 0.460 0.540
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 1 0.0000 0.9819 1.000 0.000
#> 287F3696-25CF-4E67-A934-E50856AD4790 2 0.0000 0.9849 0.000 1.000
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.0000 0.9849 0.000 1.000
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 1 0.0000 0.9819 1.000 0.000
#> B80A74AB-A264-4396-93F8-FD976DBC1456 2 0.0000 0.9849 0.000 1.000
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.0000 0.9849 0.000 1.000
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.0000 0.9819 1.000 0.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.0000 0.9819 1.000 0.000
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 2 0.0672 0.9779 0.008 0.992
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 2 0.0000 0.9849 0.000 1.000
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.0000 0.9849 0.000 1.000
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.0000 0.9819 1.000 0.000
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 1 0.0000 0.9819 1.000 0.000
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.0000 0.9849 0.000 1.000
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.0000 0.9819 1.000 0.000
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.0000 0.9849 0.000 1.000
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 2 0.0000 0.9849 0.000 1.000
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 1 0.6801 0.7780 0.820 0.180
#> DD292494-92A2-43CB-B59B-726B2F429B29 2 0.2603 0.9429 0.044 0.956
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.0000 0.9819 1.000 0.000
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 1 0.0000 0.9819 1.000 0.000
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 2 0.0000 0.9849 0.000 1.000
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 2 0.0000 0.9849 0.000 1.000
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 1 0.0000 0.9819 1.000 0.000
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.0000 0.9819 1.000 0.000
#> 74CF740D-201D-4070-99B9-F007E7C4D472 1 0.0000 0.9819 1.000 0.000
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 2 0.0000 0.9849 0.000 1.000
#> 78F28873-E471-497A-9405-FB8955808599 2 0.0000 0.9849 0.000 1.000
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.0000 0.9849 0.000 1.000
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.0000 0.9849 0.000 1.000
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 1 0.0000 0.9819 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.0000 0.92084 0.000 0.000 1.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.0000 0.96510 1.000 0.000 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 1 0.0000 0.96510 1.000 0.000 0.000
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.0000 0.96510 1.000 0.000 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.0000 0.96510 1.000 0.000 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.0000 0.96510 1.000 0.000 0.000
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.3267 0.85369 0.000 0.884 0.116
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.0000 0.91497 0.000 1.000 0.000
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.0000 0.96510 1.000 0.000 0.000
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 1 0.2537 0.89391 0.920 0.080 0.000
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 2 0.6045 0.36723 0.380 0.620 0.000
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 3 0.1289 0.89891 0.000 0.032 0.968
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.0000 0.96510 1.000 0.000 0.000
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 1 0.0000 0.96510 1.000 0.000 0.000
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.0000 0.96510 1.000 0.000 0.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 3 0.0000 0.92084 0.000 0.000 1.000
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 2 0.0000 0.91497 0.000 1.000 0.000
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 2 0.0000 0.91497 0.000 1.000 0.000
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#> 94E26CD5-238B-4D8C-B8E8-A62C44EB2B41 2 0.1765 0.88913 0.040 0.956 0.004
#> 135743C3-829E-46DC-BBA9-FF07C8067612 1 0.0000 0.96510 1.000 0.000 0.000
#> CBD7775A-2802-4EB7-9F62-6B80D7667AED 1 0.0000 0.96510 1.000 0.000 0.000
#> BD6DAD3D-2D5F-4560-9A4C-70D8A1D49732 1 0.0000 0.96510 1.000 0.000 0.000
#> ED86F92E-6B39-4C0C-9A60-870984F53C4D 1 0.0000 0.96510 1.000 0.000 0.000
#> CD3B289F-FAE1-405F-875F-23C1D2609DFC 1 0.0000 0.96510 1.000 0.000 0.000
#> D1C0E70B-B2BB-4FE7-8DEC-B50659739BAA 2 0.0000 0.91497 0.000 1.000 0.000
#> D2417A9C-CBF0-47F6-B20C-FB32AF632A84 2 0.0237 0.91274 0.004 0.996 0.000
#> EF5618C6-6AFB-4FB5-A32B-7946F18E9736 1 0.0000 0.96510 1.000 0.000 0.000
#> 36040CAB-FF77-4540-BB44-7961A6A54B29 2 0.4974 0.74760 0.000 0.764 0.236
#> 3808C3A9-22DA-4DC5-9F51-884A7EF574E6 1 0.2711 0.88061 0.912 0.000 0.088
#> 24363857-9A33-40D4-8409-C17225570833 2 0.2796 0.84334 0.092 0.908 0.000
#> A57E6132-9B76-493A-A167-8462263B7CDB 1 0.6299 0.13032 0.524 0.476 0.000
#> 4C020890-E652-4DE4-B66D-5F6F71405F64 1 0.0000 0.96510 1.000 0.000 0.000
#> 90C991CD-412E-4318-96E3-EB84B868FE9F 2 0.0747 0.90921 0.000 0.984 0.016
#> FA8E73EA-649C-43ED-854E-B9472820D1C6 2 0.0000 0.91497 0.000 1.000 0.000
#> 4D46B5DE-186A-4D35-8E1B-64701C13BC69 3 0.0000 0.92084 0.000 0.000 1.000
#> D516A82D-2F77-46B2-90F7-30BA5C78AAC8 2 0.0000 0.91497 0.000 1.000 0.000
#> 1FBD0805-13AE-4A82-8B94-640E1C921262 3 0.0000 0.92084 0.000 0.000 1.000
#> 264525A9-F7DB-4012-A93B-CF8A7626F125 3 0.0000 0.92084 0.000 0.000 1.000
#> AFF029D8-FFC9-4AA9-8049-F1E27C743F6F 3 0.0000 0.92084 0.000 0.000 1.000
#> 5B65768D-0E81-4469-9D69-69B07ED5ACD5 2 0.4121 0.80425 0.000 0.832 0.168
#> 2CB06CA6-8D1F-4BC7-99BE-66921805B8FD 2 0.0000 0.91497 0.000 1.000 0.000
#> 956357FB-9AB3-497C-BB55-9D15B486A422 1 0.0000 0.96510 1.000 0.000 0.000
#> C8F2BAD0-7124-46BF-975C-4B44BE980F93 1 0.0000 0.96510 1.000 0.000 0.000
#> E96AE267-3E23-4EA9-93E2-D92558155A17 3 0.0000 0.92084 0.000 0.000 1.000
#> 1C8DCA5B-965B-485A-83B6-5CBEB2117E47 2 0.0000 0.91497 0.000 1.000 0.000
#> DEAB79F5-336A-49B4-8046-AEE2F567FE46 1 0.0000 0.96510 1.000 0.000 0.000
#> 767FE89E-E19F-4F56-A744-CB3C5CCC085B 2 0.2400 0.86899 0.064 0.932 0.004
#> 7B0BF632-79E5-46B5-AAC8-4A6D5A193449 3 0.0000 0.92084 0.000 0.000 1.000
#> 9A281EDE-FF96-4E66-AEF4-692BDFA8E99D 2 0.0000 0.91497 0.000 1.000 0.000
#> B8C2D019-00C9-4E1E-8383-4FE2FFB4D2D7 3 0.0000 0.92084 0.000 0.000 1.000
#> 39A9B95F-186B-4550-9271-001151B1A626 2 0.2537 0.87212 0.000 0.920 0.080
#> CAD6E491-88FB-4221-90E9-AC9C68AECCB0 1 0.0000 0.96510 1.000 0.000 0.000
#> 15EFBC5B-C713-4718-BB6F-0EBBE4D6997F 2 0.0000 0.91497 0.000 1.000 0.000
#> BBA00038-09B1-461D-9F8E-484890B0D130 1 0.4291 0.77268 0.820 0.000 0.180
#> 16EBB885-A692-42A6-9027-F6AD769E0ABB 1 0.0000 0.96510 1.000 0.000 0.000
#> 2D57E24B-97A6-4B85-BC8F-3E02DDC6C460 2 0.5397 0.69158 0.000 0.720 0.280
#> C6E39F86-9DEF-4BCA-930B-2A3993D18901 2 0.0000 0.91497 0.000 1.000 0.000
#> 5BE4D8E9-DA18-426F-8AE6-075B15010390 1 0.0000 0.96510 1.000 0.000 0.000
#> 8E9CAAC7-31D3-473C-821C-2DAD37B44D3A 2 0.0000 0.91497 0.000 1.000 0.000
#> 368CFCA3-7BAB-4D6D-9AE1-55713A9965C1 3 0.4452 0.75904 0.192 0.000 0.808
#> 14DB79EF-DE2B-4197-AD32-F657E0655FCD 2 0.0000 0.91497 0.000 1.000 0.000
#> E73BCFCB-C5FE-4BF2-A236-B9E69711C121 1 0.0000 0.96510 1.000 0.000 0.000
#> CDAFAFEA-365B-4F25-AEC0-639B6E0CB626 2 0.3412 0.84302 0.000 0.876 0.124
#> 48A2AAEB-7F60-4284-808E-2058A531B17C 2 0.2448 0.87483 0.000 0.924 0.076
#> D4276C6F-9F0F-4F74-A85E-1E54272ADDED 2 0.2537 0.87212 0.000 0.920 0.080
#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 2 0.0000 0.91497 0.000 1.000 0.000
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 2 0.0000 0.91497 0.000 1.000 0.000
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 3 0.0000 0.92084 0.000 0.000 1.000
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 1 0.0000 0.96510 1.000 0.000 0.000
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 3 0.2356 0.86775 0.072 0.000 0.928
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 1 0.2537 0.89391 0.920 0.080 0.000
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 1 0.0000 0.96510 1.000 0.000 0.000
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 1 0.4121 0.80020 0.832 0.168 0.000
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 2 0.0000 0.91497 0.000 1.000 0.000
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 2 0.1860 0.89266 0.000 0.948 0.052
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 2 0.0000 0.91497 0.000 1.000 0.000
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 1 0.0000 0.96510 1.000 0.000 0.000
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 2 0.0000 0.91497 0.000 1.000 0.000
#> C7997523-47CF-40F0-8803-AB873E38033C 2 0.0000 0.91497 0.000 1.000 0.000
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 2 0.6260 0.34988 0.000 0.552 0.448
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 3 0.0000 0.92084 0.000 0.000 1.000
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 3 0.5678 0.56672 0.316 0.000 0.684
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 1 0.0000 0.96510 1.000 0.000 0.000
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 2 0.4399 0.79742 0.000 0.812 0.188
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 2 0.0000 0.91497 0.000 1.000 0.000
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 3 0.0000 0.92084 0.000 0.000 1.000
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 2 0.0000 0.91497 0.000 1.000 0.000
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 1 0.0000 0.96510 1.000 0.000 0.000
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.0000 0.96510 1.000 0.000 0.000
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 1 0.0000 0.96510 1.000 0.000 0.000
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 1 0.0000 0.96510 1.000 0.000 0.000
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 3 0.0000 0.92084 0.000 0.000 1.000
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 3 0.0424 0.91523 0.000 0.008 0.992
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 2 0.2537 0.87212 0.000 0.920 0.080
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 2 0.0000 0.91497 0.000 1.000 0.000
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.0000 0.96510 1.000 0.000 0.000
#> E15EAAB4-0860-4716-9922-667F604CDF12 1 0.0000 0.96510 1.000 0.000 0.000
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 3 0.5216 0.60263 0.000 0.260 0.740
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 1 0.0000 0.96510 1.000 0.000 0.000
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 3 0.0000 0.92084 0.000 0.000 1.000
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.0000 0.96510 1.000 0.000 0.000
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 2 0.2537 0.87212 0.000 0.920 0.080
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 2 0.0000 0.91497 0.000 1.000 0.000
#> E2A4C651-977F-4F40-B5EC-46DF75944141 1 0.0000 0.96510 1.000 0.000 0.000
#> 433599CC-9DF5-4494-A607-8079FFE74D95 3 0.0000 0.92084 0.000 0.000 1.000
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 3 0.1411 0.89386 0.000 0.036 0.964
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 3 0.0000 0.92084 0.000 0.000 1.000
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.0000 0.96510 1.000 0.000 0.000
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 1 0.3752 0.81266 0.856 0.000 0.144
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 1 0.0000 0.96510 1.000 0.000 0.000
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.0000 0.92084 0.000 0.000 1.000
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 3 0.0000 0.92084 0.000 0.000 1.000
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 3 0.0000 0.92084 0.000 0.000 1.000
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.0000 0.91497 0.000 1.000 0.000
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 1 0.3116 0.86670 0.892 0.108 0.000
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.2537 0.87212 0.000 0.920 0.080
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.0000 0.96510 1.000 0.000 0.000
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 3 0.0000 0.92084 0.000 0.000 1.000
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.0000 0.96510 1.000 0.000 0.000
#> 057B580C-13FD-4185-943C-9DD5266B8554 3 0.0000 0.92084 0.000 0.000 1.000
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 1 0.6260 0.13558 0.552 0.000 0.448
#> 287F3696-25CF-4E67-A934-E50856AD4790 3 0.0237 0.91823 0.000 0.004 0.996
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.0000 0.91497 0.000 1.000 0.000
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 1 0.4749 0.78052 0.816 0.172 0.012
#> B80A74AB-A264-4396-93F8-FD976DBC1456 3 0.0000 0.92084 0.000 0.000 1.000
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.0000 0.91497 0.000 1.000 0.000
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.0000 0.96510 1.000 0.000 0.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.0000 0.96510 1.000 0.000 0.000
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 2 0.3412 0.83727 0.000 0.876 0.124
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 3 0.0000 0.92084 0.000 0.000 1.000
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.0000 0.91497 0.000 1.000 0.000
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.0000 0.96510 1.000 0.000 0.000
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 1 0.5497 0.61688 0.708 0.292 0.000
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.2537 0.87212 0.000 0.920 0.080
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.0000 0.96510 1.000 0.000 0.000
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.0000 0.91497 0.000 1.000 0.000
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 3 0.0000 0.92084 0.000 0.000 1.000
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 2 0.0000 0.91497 0.000 1.000 0.000
#> DD292494-92A2-43CB-B59B-726B2F429B29 2 0.0000 0.91497 0.000 1.000 0.000
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.0000 0.96510 1.000 0.000 0.000
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 1 0.0592 0.95550 0.988 0.012 0.000
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 3 0.3482 0.81214 0.000 0.128 0.872
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 3 0.4452 0.72126 0.000 0.192 0.808
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 1 0.0000 0.96510 1.000 0.000 0.000
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.0000 0.96510 1.000 0.000 0.000
#> 74CF740D-201D-4070-99B9-F007E7C4D472 3 0.5397 0.64109 0.280 0.000 0.720
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 2 0.4555 0.77240 0.000 0.800 0.200
#> 78F28873-E471-497A-9405-FB8955808599 3 0.0000 0.92084 0.000 0.000 1.000
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.2537 0.87212 0.000 0.920 0.080
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.0000 0.91497 0.000 1.000 0.000
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 2 0.0237 0.91274 0.004 0.996 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.0188 0.8925 0.000 0.000 0.996 0.004
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.0000 0.8355 1.000 0.000 0.000 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 4 0.3494 0.7222 0.172 0.004 0.000 0.824
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.1022 0.8219 0.968 0.000 0.000 0.032
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.0000 0.8355 1.000 0.000 0.000 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.0817 0.8306 0.976 0.000 0.000 0.024
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.2011 0.7933 0.000 0.920 0.080 0.000
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.3172 0.7668 0.000 0.840 0.000 0.160
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.4164 0.6658 0.736 0.000 0.000 0.264
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 1 0.4996 0.2805 0.516 0.000 0.000 0.484
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 2 0.7317 0.3653 0.268 0.528 0.000 0.204
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 3 0.2345 0.8212 0.000 0.100 0.900 0.000
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.1211 0.8243 0.960 0.000 0.000 0.040
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 4 0.3907 0.6826 0.232 0.000 0.000 0.768
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.3172 0.7460 0.840 0.000 0.000 0.160
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 3 0.0000 0.8932 0.000 0.000 1.000 0.000
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 2 0.4977 0.4212 0.000 0.540 0.000 0.460
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 2 0.4072 0.7169 0.000 0.748 0.000 0.252
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.0000 0.8355 1.000 0.000 0.000 0.000
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.0336 0.8345 0.992 0.000 0.000 0.008
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 4 0.7365 -0.2157 0.000 0.400 0.160 0.440
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 3 0.0000 0.8932 0.000 0.000 1.000 0.000
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 1 0.4477 0.6059 0.688 0.000 0.000 0.312
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 1 0.0188 0.8352 0.996 0.000 0.000 0.004
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 4 0.4567 0.6606 0.008 0.168 0.032 0.792
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 1 0.4761 0.4069 0.664 0.004 0.000 0.332
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.0707 0.8288 0.980 0.000 0.000 0.020
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 1 0.3311 0.7129 0.828 0.000 0.000 0.172
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.3172 0.7668 0.000 0.840 0.000 0.160
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 3 0.0000 0.8932 0.000 0.000 1.000 0.000
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 2 0.3873 0.7312 0.000 0.772 0.000 0.228
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.0188 0.8260 0.000 0.996 0.004 0.000
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.0188 0.8350 0.996 0.000 0.000 0.004
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 2 0.2973 0.7448 0.000 0.856 0.144 0.000
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 1 0.7854 -0.0502 0.384 0.344 0.000 0.272
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#> 2299CD19-BF08-404C-B1BF-B570F12CCEF8 2 0.4018 0.6264 0.000 0.772 0.004 0.224
#> E8BCBDC5-E34E-422F-86C2-A4B30400EC86 3 0.0188 0.8925 0.000 0.000 0.996 0.004
#> B9EF0525-8B4A-4306-B06B-35AC457F5F48 2 0.0188 0.8257 0.000 0.996 0.000 0.004
#> F663E106-4E34-46C8-9CD9-AE5E9B8B27F0 2 0.6996 0.5843 0.000 0.580 0.192 0.228
#> 94E26CD5-238B-4D8C-B8E8-A62C44EB2B41 2 0.3688 0.7443 0.000 0.792 0.000 0.208
#> 135743C3-829E-46DC-BBA9-FF07C8067612 1 0.0188 0.8350 0.996 0.000 0.000 0.004
#> CBD7775A-2802-4EB7-9F62-6B80D7667AED 1 0.4585 0.3974 0.668 0.000 0.000 0.332
#> BD6DAD3D-2D5F-4560-9A4C-70D8A1D49732 1 0.0000 0.8355 1.000 0.000 0.000 0.000
#> ED86F92E-6B39-4C0C-9A60-870984F53C4D 1 0.0000 0.8355 1.000 0.000 0.000 0.000
#> CD3B289F-FAE1-405F-875F-23C1D2609DFC 1 0.4018 0.5989 0.772 0.004 0.000 0.224
#> D1C0E70B-B2BB-4FE7-8DEC-B50659739BAA 2 0.0188 0.8261 0.000 0.996 0.000 0.004
#> D2417A9C-CBF0-47F6-B20C-FB32AF632A84 2 0.4387 0.7180 0.012 0.752 0.000 0.236
#> EF5618C6-6AFB-4FB5-A32B-7946F18E9736 1 0.4103 0.5663 0.744 0.000 0.000 0.256
#> 36040CAB-FF77-4540-BB44-7961A6A54B29 2 0.4643 0.4696 0.000 0.656 0.344 0.000
#> 3808C3A9-22DA-4DC5-9F51-884A7EF574E6 4 0.5070 0.4285 0.416 0.000 0.004 0.580
#> 24363857-9A33-40D4-8409-C17225570833 4 0.4382 0.5481 0.000 0.296 0.000 0.704
#> A57E6132-9B76-493A-A167-8462263B7CDB 1 0.7171 0.3985 0.556 0.212 0.000 0.232
#> 4C020890-E652-4DE4-B66D-5F6F71405F64 4 0.3808 0.7201 0.176 0.012 0.000 0.812
#> 90C991CD-412E-4318-96E3-EB84B868FE9F 2 0.0592 0.8230 0.000 0.984 0.016 0.000
#> FA8E73EA-649C-43ED-854E-B9472820D1C6 2 0.4998 0.1621 0.000 0.512 0.000 0.488
#> 4D46B5DE-186A-4D35-8E1B-64701C13BC69 3 0.0000 0.8932 0.000 0.000 1.000 0.000
#> D516A82D-2F77-46B2-90F7-30BA5C78AAC8 2 0.0000 0.8261 0.000 1.000 0.000 0.000
#> 1FBD0805-13AE-4A82-8B94-640E1C921262 3 0.0188 0.8925 0.000 0.000 0.996 0.004
#> 264525A9-F7DB-4012-A93B-CF8A7626F125 3 0.0000 0.8932 0.000 0.000 1.000 0.000
#> AFF029D8-FFC9-4AA9-8049-F1E27C743F6F 3 0.3933 0.6792 0.000 0.008 0.792 0.200
#> 5B65768D-0E81-4469-9D69-69B07ED5ACD5 2 0.6894 0.6223 0.008 0.624 0.188 0.180
#> 2CB06CA6-8D1F-4BC7-99BE-66921805B8FD 2 0.3172 0.7668 0.000 0.840 0.000 0.160
#> 956357FB-9AB3-497C-BB55-9D15B486A422 4 0.2408 0.6898 0.104 0.000 0.000 0.896
#> C8F2BAD0-7124-46BF-975C-4B44BE980F93 1 0.1022 0.8277 0.968 0.000 0.000 0.032
#> E96AE267-3E23-4EA9-93E2-D92558155A17 3 0.0188 0.8925 0.000 0.000 0.996 0.004
#> 1C8DCA5B-965B-485A-83B6-5CBEB2117E47 2 0.4477 0.4841 0.000 0.688 0.000 0.312
#> DEAB79F5-336A-49B4-8046-AEE2F567FE46 1 0.0336 0.8345 0.992 0.000 0.000 0.008
#> 767FE89E-E19F-4F56-A744-CB3C5CCC085B 4 0.3937 0.6607 0.012 0.188 0.000 0.800
#> 7B0BF632-79E5-46B5-AAC8-4A6D5A193449 3 0.0000 0.8932 0.000 0.000 1.000 0.000
#> 9A281EDE-FF96-4E66-AEF4-692BDFA8E99D 2 0.3726 0.7432 0.000 0.788 0.000 0.212
#> B8C2D019-00C9-4E1E-8383-4FE2FFB4D2D7 3 0.0188 0.8925 0.000 0.000 0.996 0.004
#> 39A9B95F-186B-4550-9271-001151B1A626 2 0.0524 0.8243 0.008 0.988 0.004 0.000
#> CAD6E491-88FB-4221-90E9-AC9C68AECCB0 4 0.3625 0.7273 0.160 0.012 0.000 0.828
#> 15EFBC5B-C713-4718-BB6F-0EBBE4D6997F 2 0.0188 0.8249 0.000 0.996 0.000 0.004
#> BBA00038-09B1-461D-9F8E-484890B0D130 4 0.4175 0.6977 0.212 0.012 0.000 0.776
#> 16EBB885-A692-42A6-9027-F6AD769E0ABB 1 0.0188 0.8350 0.996 0.000 0.000 0.004
#> 2D57E24B-97A6-4B85-BC8F-3E02DDC6C460 2 0.4585 0.4945 0.000 0.668 0.332 0.000
#> C6E39F86-9DEF-4BCA-930B-2A3993D18901 2 0.0188 0.8261 0.000 0.996 0.000 0.004
#> 5BE4D8E9-DA18-426F-8AE6-075B15010390 4 0.4331 0.4915 0.288 0.000 0.000 0.712
#> 8E9CAAC7-31D3-473C-821C-2DAD37B44D3A 2 0.0000 0.8261 0.000 1.000 0.000 0.000
#> 368CFCA3-7BAB-4D6D-9AE1-55713A9965C1 3 0.3801 0.6574 0.000 0.000 0.780 0.220
#> 14DB79EF-DE2B-4197-AD32-F657E0655FCD 2 0.4697 0.4487 0.000 0.644 0.000 0.356
#> E73BCFCB-C5FE-4BF2-A236-B9E69711C121 4 0.3625 0.7273 0.160 0.012 0.000 0.828
#> CDAFAFEA-365B-4F25-AEC0-639B6E0CB626 4 0.3625 0.6796 0.012 0.160 0.000 0.828
#> 48A2AAEB-7F60-4284-808E-2058A531B17C 2 0.0188 0.8260 0.000 0.996 0.004 0.000
#> D4276C6F-9F0F-4F74-A85E-1E54272ADDED 2 0.0188 0.8260 0.000 0.996 0.004 0.000
#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 2 0.0000 0.8261 0.000 1.000 0.000 0.000
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 2 0.4008 0.6004 0.000 0.756 0.000 0.244
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 3 0.0188 0.8925 0.000 0.000 0.996 0.004
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 1 0.3266 0.7395 0.832 0.000 0.000 0.168
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 3 0.2976 0.7803 0.008 0.000 0.872 0.120
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 1 0.3975 0.6755 0.760 0.000 0.000 0.240
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 1 0.0000 0.8355 1.000 0.000 0.000 0.000
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 4 0.0657 0.7270 0.012 0.004 0.000 0.984
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 2 0.4295 0.7158 0.008 0.752 0.000 0.240
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 2 0.5363 0.6013 0.000 0.720 0.064 0.216
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 2 0.0188 0.8261 0.000 0.996 0.000 0.004
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 4 0.3539 0.7200 0.176 0.004 0.000 0.820
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 2 0.0188 0.8261 0.000 0.996 0.000 0.004
#> C7997523-47CF-40F0-8803-AB873E38033C 2 0.3837 0.7347 0.000 0.776 0.000 0.224
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 2 0.4981 0.1493 0.000 0.536 0.464 0.000
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 3 0.0000 0.8932 0.000 0.000 1.000 0.000
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 1 0.1305 0.8215 0.960 0.000 0.036 0.004
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 1 0.0336 0.8345 0.992 0.000 0.000 0.008
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 2 0.3801 0.6944 0.000 0.780 0.220 0.000
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 2 0.3444 0.6805 0.000 0.816 0.000 0.184
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 3 0.0188 0.8925 0.000 0.000 0.996 0.004
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 2 0.3764 0.7407 0.000 0.784 0.000 0.216
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 4 0.4985 0.3350 0.468 0.000 0.000 0.532
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.0000 0.8355 1.000 0.000 0.000 0.000
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 4 0.4008 0.6720 0.244 0.000 0.000 0.756
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 1 0.3356 0.7339 0.824 0.000 0.000 0.176
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 3 0.0000 0.8932 0.000 0.000 1.000 0.000
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 4 0.6777 0.2701 0.004 0.088 0.376 0.532
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 2 0.0336 0.8252 0.000 0.992 0.008 0.000
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 2 0.0000 0.8261 0.000 1.000 0.000 0.000
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.1637 0.8150 0.940 0.000 0.000 0.060
#> E15EAAB4-0860-4716-9922-667F604CDF12 4 0.4898 0.4442 0.416 0.000 0.000 0.584
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 3 0.6840 0.4541 0.000 0.180 0.600 0.220
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 4 0.3975 0.6755 0.240 0.000 0.000 0.760
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 3 0.0188 0.8925 0.000 0.000 0.996 0.004
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.0336 0.8338 0.992 0.000 0.000 0.008
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 2 0.0188 0.8260 0.000 0.996 0.004 0.000
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 2 0.0000 0.8261 0.000 1.000 0.000 0.000
#> E2A4C651-977F-4F40-B5EC-46DF75944141 1 0.4830 0.4547 0.608 0.000 0.000 0.392
#> 433599CC-9DF5-4494-A607-8079FFE74D95 3 0.6043 0.6098 0.008 0.200 0.696 0.096
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 3 0.1677 0.8592 0.000 0.012 0.948 0.040
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 3 0.0000 0.8932 0.000 0.000 1.000 0.000
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.0592 0.8307 0.984 0.000 0.000 0.016
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 4 0.3625 0.7273 0.160 0.012 0.000 0.828
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 1 0.4382 0.6258 0.704 0.000 0.000 0.296
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.0188 0.8925 0.000 0.000 0.996 0.004
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 3 0.0000 0.8932 0.000 0.000 1.000 0.000
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 3 0.0000 0.8932 0.000 0.000 1.000 0.000
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.0000 0.8261 0.000 1.000 0.000 0.000
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 4 0.1584 0.7327 0.012 0.036 0.000 0.952
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.0188 0.8260 0.000 0.996 0.004 0.000
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.3356 0.7339 0.824 0.000 0.000 0.176
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 3 0.0000 0.8932 0.000 0.000 1.000 0.000
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.0336 0.8338 0.992 0.000 0.000 0.008
#> 057B580C-13FD-4185-943C-9DD5266B8554 3 0.1004 0.8760 0.024 0.000 0.972 0.004
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 4 0.3806 0.7255 0.156 0.000 0.020 0.824
#> 287F3696-25CF-4E67-A934-E50856AD4790 3 0.1637 0.8507 0.000 0.060 0.940 0.000
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.0000 0.8261 0.000 1.000 0.000 0.000
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 4 0.1716 0.7072 0.064 0.000 0.000 0.936
#> B80A74AB-A264-4396-93F8-FD976DBC1456 3 0.0000 0.8932 0.000 0.000 1.000 0.000
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.3400 0.6838 0.000 0.820 0.000 0.180
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.0336 0.8338 0.992 0.000 0.000 0.008
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.1022 0.8219 0.968 0.000 0.000 0.032
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 2 0.4709 0.6406 0.008 0.768 0.024 0.200
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 3 0.0000 0.8932 0.000 0.000 1.000 0.000
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.3172 0.7668 0.000 0.840 0.000 0.160
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.3266 0.7395 0.832 0.000 0.000 0.168
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 4 0.4227 0.7138 0.060 0.120 0.000 0.820
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.0188 0.8260 0.000 0.996 0.004 0.000
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.2011 0.8043 0.920 0.000 0.000 0.080
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.3801 0.7378 0.000 0.780 0.000 0.220
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 3 0.0469 0.8864 0.000 0.012 0.988 0.000
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 4 0.4978 0.5077 0.012 0.324 0.000 0.664
#> DD292494-92A2-43CB-B59B-726B2F429B29 2 0.4699 0.5122 0.004 0.676 0.000 0.320
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.3311 0.7408 0.828 0.000 0.000 0.172
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 4 0.1743 0.7377 0.056 0.004 0.000 0.940
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 3 0.7571 0.3503 0.008 0.244 0.532 0.216
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 3 0.4589 0.6882 0.008 0.024 0.780 0.188
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 1 0.4817 0.2507 0.612 0.000 0.000 0.388
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.0188 0.8352 0.996 0.000 0.000 0.004
#> 74CF740D-201D-4070-99B9-F007E7C4D472 3 0.7179 0.0920 0.136 0.000 0.456 0.408
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 2 0.6964 0.5885 0.000 0.584 0.188 0.228
#> 78F28873-E471-497A-9405-FB8955808599 3 0.0000 0.8932 0.000 0.000 1.000 0.000
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.0188 0.8260 0.000 0.996 0.004 0.000
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.0000 0.8261 0.000 1.000 0.000 0.000
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 2 0.4193 0.6971 0.000 0.732 0.000 0.268
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.0000 0.7330 0.000 0.000 1.000 0.000 0.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.0000 0.8534 1.000 0.000 0.000 0.000 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 4 0.1792 0.7020 0.000 0.000 0.000 0.916 0.084
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.0000 0.8534 1.000 0.000 0.000 0.000 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.0000 0.8534 1.000 0.000 0.000 0.000 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.0880 0.8431 0.968 0.000 0.000 0.000 0.032
#> 966A3A03-3879-4816-A1E9-D805F6018836 5 0.4648 0.2022 0.000 0.464 0.012 0.000 0.524
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.0609 0.8328 0.000 0.980 0.000 0.000 0.020
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.5168 0.4388 0.508 0.000 0.000 0.040 0.452
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 4 0.4821 0.0663 0.464 0.000 0.000 0.516 0.020
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 2 0.7887 0.2073 0.188 0.360 0.000 0.092 0.360
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 5 0.6287 0.4194 0.000 0.196 0.276 0.000 0.528
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.1478 0.8301 0.936 0.000 0.000 0.000 0.064
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 4 0.2017 0.7022 0.008 0.000 0.000 0.912 0.080
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.0963 0.8416 0.964 0.000 0.000 0.000 0.036
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 5 0.4297 0.4627 0.000 0.000 0.472 0.000 0.528
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 4 0.5083 0.0622 0.000 0.432 0.000 0.532 0.036
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 2 0.5232 0.6193 0.000 0.648 0.000 0.084 0.268
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.0000 0.8534 1.000 0.000 0.000 0.000 0.000
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.0000 0.8534 1.000 0.000 0.000 0.000 0.000
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 5 0.4944 0.0930 0.000 0.116 0.004 0.156 0.724
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#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.3535 0.7765 0.000 0.832 0.000 0.080 0.088
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 5 0.4297 0.4627 0.000 0.000 0.472 0.000 0.528
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 4 0.2144 0.6973 0.000 0.068 0.000 0.912 0.020
#> DD292494-92A2-43CB-B59B-726B2F429B29 4 0.4637 0.0342 0.000 0.452 0.000 0.536 0.012
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.5785 0.4223 0.504 0.000 0.000 0.092 0.404
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 4 0.0510 0.7076 0.000 0.000 0.000 0.984 0.016
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 5 0.6342 0.1371 0.000 0.072 0.036 0.384 0.508
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 5 0.2798 0.2522 0.000 0.000 0.140 0.008 0.852
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 1 0.5190 0.5316 0.668 0.000 0.000 0.236 0.096
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.0290 0.8503 0.992 0.000 0.008 0.000 0.000
#> 74CF740D-201D-4070-99B9-F007E7C4D472 3 0.4953 0.3813 0.000 0.000 0.532 0.028 0.440
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 2 0.5990 0.3926 0.000 0.484 0.024 0.056 0.436
#> 78F28873-E471-497A-9405-FB8955808599 5 0.4297 0.4627 0.000 0.000 0.472 0.000 0.528
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.1732 0.7853 0.000 0.920 0.000 0.000 0.080
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.0290 0.8310 0.000 0.992 0.000 0.000 0.008
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 2 0.4595 0.6996 0.000 0.740 0.000 0.172 0.088
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.2135 0.8136 0.000 0.000 0.872 0.000 0.128 0.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.0000 0.8763 1.000 0.000 0.000 0.000 0.000 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 4 0.3647 0.3428 0.000 0.000 0.000 0.640 0.000 0.360
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.0000 0.8763 1.000 0.000 0.000 0.000 0.000 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.0000 0.8763 1.000 0.000 0.000 0.000 0.000 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.2912 0.6842 0.784 0.000 0.000 0.000 0.000 0.216
#> 966A3A03-3879-4816-A1E9-D805F6018836 5 0.3843 0.3119 0.000 0.452 0.000 0.000 0.548 0.000
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.0146 0.7424 0.000 0.996 0.004 0.000 0.000 0.000
#> 18971368-40F0-42D3-B1A3-707850C53B18 6 0.1957 0.5810 0.112 0.000 0.000 0.000 0.000 0.888
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 4 0.4116 0.2397 0.416 0.000 0.000 0.572 0.000 0.012
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 6 0.7549 0.1388 0.136 0.148 0.016 0.320 0.000 0.380
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 5 0.2278 0.7882 0.000 0.128 0.004 0.000 0.868 0.000
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.3330 0.5976 0.716 0.000 0.000 0.000 0.000 0.284
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 4 0.3578 0.3840 0.000 0.000 0.000 0.660 0.000 0.340
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.2092 0.7871 0.876 0.000 0.000 0.000 0.000 0.124
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 5 0.0146 0.8527 0.000 0.000 0.004 0.000 0.996 0.000
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 4 0.6161 0.1456 0.000 0.252 0.128 0.560 0.000 0.060
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 2 0.6925 0.4040 0.000 0.444 0.128 0.308 0.000 0.120
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.0000 0.8763 1.000 0.000 0.000 0.000 0.000 0.000
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.0000 0.8763 1.000 0.000 0.000 0.000 0.000 0.000
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 6 0.7280 0.0719 0.000 0.068 0.012 0.268 0.256 0.396
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 5 0.0790 0.8401 0.000 0.032 0.000 0.000 0.968 0.000
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 6 0.3601 0.5303 0.160 0.000 0.008 0.040 0.000 0.792
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 1 0.0260 0.8715 0.992 0.000 0.008 0.000 0.000 0.000
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 4 0.3766 0.5295 0.000 0.000 0.000 0.736 0.232 0.032
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 4 0.3288 0.4161 0.276 0.000 0.000 0.724 0.000 0.000
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.0000 0.8763 1.000 0.000 0.000 0.000 0.000 0.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 1 0.4764 0.3550 0.640 0.000 0.000 0.088 0.000 0.272
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.0935 0.7400 0.000 0.964 0.004 0.000 0.000 0.032
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 5 0.0146 0.8527 0.000 0.000 0.004 0.000 0.996 0.000
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 2 0.6660 0.5139 0.000 0.524 0.128 0.228 0.000 0.120
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.3330 0.4429 0.000 0.716 0.000 0.000 0.284 0.000
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.0000 0.8763 1.000 0.000 0.000 0.000 0.000 0.000
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 5 0.2915 0.7403 0.000 0.184 0.000 0.008 0.808 0.000
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 4 0.7746 0.1379 0.324 0.232 0.084 0.328 0.000 0.032
#> BE56F908-42DD-4019-A8AC-48884DA788B1 4 0.4273 0.5251 0.000 0.000 0.000 0.716 0.204 0.080
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 5 0.7894 -0.1445 0.000 0.332 0.100 0.076 0.372 0.120
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 6 0.3717 0.1603 0.000 0.000 0.000 0.384 0.000 0.616
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 3 0.2480 0.7474 0.000 0.000 0.872 0.000 0.024 0.104
#> 791D9EB8-42E0-4192-B064-B1126CA14481 2 0.6622 0.5228 0.000 0.532 0.128 0.220 0.000 0.120
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 5 0.3175 0.6578 0.000 0.256 0.000 0.000 0.744 0.000
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 5 0.3563 0.5359 0.000 0.336 0.000 0.000 0.664 0.000
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.0000 0.8763 1.000 0.000 0.000 0.000 0.000 0.000
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.0000 0.8763 1.000 0.000 0.000 0.000 0.000 0.000
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 3 0.2135 0.8136 0.000 0.000 0.872 0.000 0.128 0.000
#> D47C7B74-BB01-4614-B683-652F7130729C 5 0.4150 0.5201 0.000 0.320 0.028 0.000 0.652 0.000
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 4 0.1461 0.6050 0.000 0.000 0.016 0.940 0.000 0.044
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 4 0.1856 0.5922 0.000 0.000 0.032 0.920 0.000 0.048
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.0000 0.8763 1.000 0.000 0.000 0.000 0.000 0.000
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.1313 0.7440 0.000 0.952 0.028 0.000 0.016 0.004
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.0000 0.8763 1.000 0.000 0.000 0.000 0.000 0.000
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 4 0.0937 0.6108 0.000 0.000 0.000 0.960 0.000 0.040
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 2 0.0000 0.7419 0.000 1.000 0.000 0.000 0.000 0.000
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 5 0.0146 0.8527 0.000 0.000 0.004 0.000 0.996 0.000
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 3 0.3136 0.6106 0.228 0.000 0.768 0.000 0.000 0.004
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 1 0.0000 0.8763 1.000 0.000 0.000 0.000 0.000 0.000
#> 58F11B66-AE40-417E-B465-811C6CF7311C 1 0.2416 0.7382 0.844 0.000 0.000 0.156 0.000 0.000
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.2597 0.7343 0.824 0.000 0.000 0.000 0.000 0.176
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 5 0.2070 0.7745 0.000 0.008 0.000 0.100 0.892 0.000
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 4 0.4957 0.3279 0.000 0.072 0.000 0.544 0.384 0.000
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 2 0.0000 0.7419 0.000 1.000 0.000 0.000 0.000 0.000
#> 739952C6-FF36-4E34-B881-E02FE17C4012 1 0.5265 0.2020 0.512 0.000 0.008 0.076 0.000 0.404
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 1 0.2003 0.7946 0.884 0.000 0.000 0.000 0.000 0.116
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 2 0.3672 0.3982 0.000 0.688 0.000 0.008 0.304 0.000
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 6 0.6186 0.1142 0.380 0.000 0.012 0.200 0.000 0.408
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 6 0.3843 0.2527 0.452 0.000 0.000 0.000 0.000 0.548
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 1 0.0000 0.8763 1.000 0.000 0.000 0.000 0.000 0.000
#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 6 0.1644 0.5847 0.076 0.000 0.000 0.004 0.000 0.920
#> F6B26185-139B-47A7-91EC-E885D94AC882 3 0.5477 0.0518 0.000 0.000 0.456 0.124 0.000 0.420
#> 81F30B6F-3E9A-4913-986B-C56D5F107A17 6 0.6635 0.0870 0.000 0.040 0.008 0.156 0.372 0.424
#> 2CCB3AE1-0D27-4493-B7AE-67C60BBC1C38 5 0.0146 0.8527 0.000 0.000 0.004 0.000 0.996 0.000
#> 329665BC-B959-47C5-B831-5546F94EDAC1 2 0.6705 0.5117 0.000 0.520 0.128 0.224 0.000 0.128
#> 8D4335F6-6ACB-4E38-B9F2-A2B5B647AE90 1 0.2152 0.8239 0.912 0.000 0.040 0.012 0.000 0.036
#> D181D0D8-FD8C-4259-9B34-97224CF27E1B 2 0.5909 0.5818 0.000 0.608 0.128 0.204 0.000 0.060
#> C0C10950-ABC5-4125-A33E-5AFA2D2574B0 5 0.3868 0.2062 0.000 0.492 0.000 0.000 0.508 0.000
#> 834D12DB-0925-422C-B15B-20A60A5F658C 2 0.6372 0.5569 0.000 0.568 0.128 0.200 0.000 0.104
#> 50314689-519F-4B27-884C-7816DD64CF4E 1 0.0000 0.8763 1.000 0.000 0.000 0.000 0.000 0.000
#> 2502A23E-E168-4A78-9C14-B93FBC9715B1 3 0.3782 0.2966 0.412 0.000 0.588 0.000 0.000 0.000
#> 3F8D01A3-5449-48A1-BDBA-BFE4D908AE31 4 0.3835 0.4759 0.000 0.000 0.000 0.668 0.320 0.012
#> 1C47A87B-C033-4705-B903-DB33B8C6EC34 4 0.1082 0.6103 0.000 0.000 0.004 0.956 0.000 0.040
#> 1329E1C1-743E-4541-9081-165572D4BF47 4 0.5889 0.1370 0.000 0.276 0.116 0.568 0.000 0.040
#> 1F3F8680-EEB6-4532-B81D-51957D1EA502 1 0.1863 0.8073 0.896 0.000 0.000 0.000 0.000 0.104
#> 50F69785-8B7A-4933-85B1-8DC539ACC72A 1 0.2260 0.7716 0.860 0.000 0.000 0.000 0.000 0.140
#> 9095FDD8-EEB2-4B17-85AB-3CDAC0BEC759 3 0.5758 0.1153 0.000 0.000 0.448 0.068 0.040 0.444
#> B6BF8C22-03E4-44F0-B2EF-2A3DD6ADE7D7 1 0.3992 0.4326 0.624 0.000 0.012 0.000 0.000 0.364
#> D6A907FC-3A1B-4E3B-A440-1CE9BE9B334B 2 0.5898 0.5408 0.000 0.604 0.108 0.024 0.244 0.020
#> 02588D5D-89CB-4D0B-9E96-A0270C3FF866 2 0.0000 0.7419 0.000 1.000 0.000 0.000 0.000 0.000
#> D50BBFC7-7774-4B12-938C-8D5373C12DFC 5 0.2513 0.7774 0.000 0.140 0.008 0.000 0.852 0.000
#> 6E930060-502B-49F5-A385-9B91DEBD05E4 1 0.0000 0.8763 1.000 0.000 0.000 0.000 0.000 0.000
#> F6606A8E-ACC6-4826-9547-E0017521724D 6 0.3670 0.3530 0.000 0.000 0.012 0.284 0.000 0.704
#> 981584D3-10DB-455C-8132-E8E5F44E1222 2 0.6560 0.5358 0.000 0.544 0.128 0.208 0.000 0.120
#> 47F6E197-7164-4289-95B5-8FD305A13B4C 1 0.3911 0.4330 0.624 0.000 0.008 0.000 0.000 0.368
#> 4522D871-9379-4643-B15E-9ACB556276C4 3 0.3239 0.7005 0.004 0.000 0.808 0.000 0.024 0.164
#> 7560B2B5-6AF5-4600-9F0A-BE25CF99B6B9 6 0.6244 0.2359 0.320 0.000 0.008 0.260 0.000 0.412
#> 38F5957E-0A99-432D-8F0B-B48E03F17668 1 0.0000 0.8763 1.000 0.000 0.000 0.000 0.000 0.000
#> 7A6BBBE6-2B3B-44EB-A101-C823739AB24F 2 0.0146 0.7412 0.000 0.996 0.000 0.000 0.004 0.000
#> 0782D25A-3B14-499E-A40C-3852B3A15B8B 2 0.3397 0.7151 0.000 0.832 0.112 0.032 0.004 0.020
#> 31D4B639-D1E5-479B-AEC2-34F758F2E470 6 0.1141 0.5654 0.000 0.000 0.052 0.000 0.000 0.948
#> C49078E1-E730-4E81-8EAE-5AAAB9FA1BF5 3 0.2135 0.8136 0.000 0.000 0.872 0.000 0.128 0.000
#> 48BCD3B8-917F-4E8F-BCEA-1363570A6486 2 0.6327 0.5530 0.000 0.572 0.104 0.204 0.000 0.120
#> F3BA6259-9F68-47D0-ABDD-1272AE112CAB 2 0.0146 0.7412 0.000 0.996 0.000 0.000 0.004 0.000
#> 3CA49BB1-30F6-47F3-A751-D5601E16BDBA 2 0.6538 0.5399 0.000 0.548 0.128 0.204 0.000 0.120
#> 47747595-686A-46B5-9EF4-A4CFB85D746D 3 0.2178 0.7135 0.132 0.000 0.868 0.000 0.000 0.000
#> 87974EFF-C2DE-4930-93E3-015E6D996440 5 0.0146 0.8527 0.000 0.000 0.004 0.000 0.996 0.000
#> 7D272E6C-826D-4D02-8383-6A3D5BBF3A5F 3 0.2135 0.8136 0.000 0.000 0.872 0.000 0.128 0.000
#> 070E540B-34DB-4016-B573-84924407F57F 6 0.2688 0.5644 0.024 0.000 0.048 0.044 0.000 0.884
#> 63F4281A-4D90-4589-879E-549097FB3459 4 0.5488 0.2566 0.216 0.000 0.000 0.568 0.000 0.216
#> 93A66EA0-0C74-4342-8140-72ECB01F99A1 3 0.5682 0.0902 0.000 0.000 0.452 0.136 0.004 0.408
#> C92AD683-FD09-4DD2-A5A5-C72EA5DD9B46 4 0.5353 0.4093 0.212 0.008 0.020 0.664 0.004 0.092
#> 38D2BE9E-15D4-47BC-8FEB-55310F23825B 4 0.4871 0.4702 0.132 0.212 0.000 0.656 0.000 0.000
#> B3029936-1EEF-4378-AA28-D5B2A32CDC86 1 0.5345 0.4343 0.636 0.000 0.052 0.252 0.000 0.060
#> 9A33172F-AEEA-4B7D-9605-0C60D7872CEA 1 0.1957 0.7982 0.888 0.000 0.000 0.000 0.000 0.112
#> F2BC32E5-4117-468E-B637-9EDB6E9CC6C7 6 0.3309 0.3439 0.000 0.000 0.280 0.000 0.000 0.720
#> EC319D0D-96C5-49DB-A2C4-BB6BFED6844F 1 0.0000 0.8763 1.000 0.000 0.000 0.000 0.000 0.000
#> 8CB71499-1B35-417D-95E1-D85CE71A2D8A 1 0.3795 0.4014 0.632 0.000 0.000 0.364 0.000 0.004
#> C5986AA8-D1C7-47BB-946F-1AE00503A444 2 0.2488 0.7266 0.000 0.880 0.044 0.076 0.000 0.000
#> CDB44ECD-3F01-4865-B4CC-5190E0FB64DC 1 0.3576 0.7174 0.824 0.000 0.076 0.076 0.000 0.024
#> 57633DCE-DC21-42AE-82EB-81F532CE9840 5 0.2520 0.7694 0.000 0.152 0.000 0.004 0.844 0.000
#> 715C1406-D224-466D-968E-46889824CD3D 4 0.1498 0.6093 0.000 0.000 0.028 0.940 0.000 0.032
#> 86A9A426-4B69-4572-9AFF-103C2724E5EA 1 0.0000 0.8763 1.000 0.000 0.000 0.000 0.000 0.000
#> A73A2348-FC50-42A5-ADF0-6647E5ECF0EA 4 0.4167 0.3202 0.344 0.000 0.000 0.632 0.000 0.024
#> 4BF75CF9-DA61-4A0B-940C-B09C7FE864F0 1 0.0000 0.8763 1.000 0.000 0.000 0.000 0.000 0.000
#> E3D18696-51D7-4BE3-A32B-3196E5F80438 1 0.0000 0.8763 1.000 0.000 0.000 0.000 0.000 0.000
#> C4C7C112-555F-46D5-8D5D-411C7737A4C9 3 0.2510 0.7992 0.028 0.000 0.872 0.000 0.100 0.000
#> 0A3E0A3D-D396-4340-8D98-4B79DBFC312C 2 0.1267 0.7399 0.000 0.940 0.060 0.000 0.000 0.000
#> 5513114D-2503-4D11-ADA4-35BE010510E5 3 0.2586 0.7361 0.032 0.000 0.868 0.000 0.000 0.100
#> EDDCFDBA-B3E7-4E3F-97CB-D017C9DC9EF7 6 0.3955 0.2875 0.436 0.000 0.000 0.004 0.000 0.560
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#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 6 0.6761 0.2181 0.320 0.012 0.024 0.232 0.000 0.412
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 1 0.0000 0.8763 1.000 0.000 0.000 0.000 0.000 0.000
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 4 0.1225 0.6063 0.000 0.000 0.012 0.952 0.000 0.036
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 2 0.7448 0.3017 0.000 0.340 0.136 0.224 0.000 0.300
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 4 0.5250 0.4734 0.000 0.184 0.000 0.608 0.208 0.000
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 2 0.0000 0.7419 0.000 1.000 0.000 0.000 0.000 0.000
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 4 0.3686 0.5306 0.124 0.000 0.000 0.788 0.000 0.088
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 2 0.0363 0.7434 0.000 0.988 0.012 0.000 0.000 0.000
#> C7997523-47CF-40F0-8803-AB873E38033C 2 0.6538 0.5399 0.000 0.548 0.128 0.204 0.000 0.120
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 5 0.0820 0.8426 0.000 0.012 0.016 0.000 0.972 0.000
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 5 0.0146 0.8527 0.000 0.000 0.004 0.000 0.996 0.000
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 3 0.2178 0.7135 0.132 0.000 0.868 0.000 0.000 0.000
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 1 0.0000 0.8763 1.000 0.000 0.000 0.000 0.000 0.000
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 5 0.3838 0.3336 0.000 0.448 0.000 0.000 0.552 0.000
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 4 0.4814 0.3127 0.000 0.312 0.040 0.628 0.000 0.020
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 3 0.2135 0.8136 0.000 0.000 0.872 0.000 0.128 0.000
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 2 0.6075 0.5812 0.000 0.600 0.128 0.192 0.000 0.080
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 6 0.1701 0.5840 0.072 0.000 0.000 0.008 0.000 0.920
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.0000 0.8763 1.000 0.000 0.000 0.000 0.000 0.000
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 6 0.3995 -0.0754 0.004 0.000 0.000 0.480 0.000 0.516
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 1 0.3774 0.3640 0.592 0.000 0.000 0.000 0.000 0.408
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 5 0.0146 0.8527 0.000 0.000 0.004 0.000 0.996 0.000
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 4 0.3945 0.4131 0.000 0.000 0.000 0.612 0.380 0.008
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 2 0.3515 0.3604 0.000 0.676 0.000 0.000 0.324 0.000
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 2 0.2734 0.7249 0.000 0.876 0.052 0.064 0.004 0.004
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.1204 0.8422 0.944 0.000 0.000 0.000 0.000 0.056
#> E15EAAB4-0860-4716-9922-667F604CDF12 6 0.4212 0.3656 0.048 0.000 0.000 0.264 0.000 0.688
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 5 0.7683 0.0995 0.000 0.252 0.100 0.044 0.436 0.168
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 6 0.3804 0.0592 0.000 0.000 0.000 0.424 0.000 0.576
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 3 0.2135 0.8136 0.000 0.000 0.872 0.000 0.128 0.000
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.0000 0.8763 1.000 0.000 0.000 0.000 0.000 0.000
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 2 0.3288 0.4576 0.000 0.724 0.000 0.000 0.276 0.000
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 2 0.0000 0.7419 0.000 1.000 0.000 0.000 0.000 0.000
#> E2A4C651-977F-4F40-B5EC-46DF75944141 6 0.1914 0.5783 0.056 0.000 0.008 0.016 0.000 0.920
#> 433599CC-9DF5-4494-A607-8079FFE74D95 5 0.2389 0.7948 0.000 0.060 0.000 0.052 0.888 0.000
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 5 0.4361 0.6493 0.000 0.000 0.088 0.124 0.760 0.028
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 5 0.0146 0.8527 0.000 0.000 0.004 0.000 0.996 0.000
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.0000 0.8763 1.000 0.000 0.000 0.000 0.000 0.000
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 6 0.3817 0.0530 0.000 0.000 0.000 0.432 0.000 0.568
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 6 0.1556 0.5850 0.080 0.000 0.000 0.000 0.000 0.920
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.2135 0.8136 0.000 0.000 0.872 0.000 0.128 0.000
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 5 0.0146 0.8527 0.000 0.000 0.004 0.000 0.996 0.000
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 5 0.0146 0.8527 0.000 0.000 0.004 0.000 0.996 0.000
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.0146 0.7412 0.000 0.996 0.000 0.000 0.004 0.000
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 4 0.2996 0.5102 0.000 0.000 0.000 0.772 0.000 0.228
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.3330 0.4433 0.000 0.716 0.000 0.000 0.284 0.000
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.3727 0.4054 0.612 0.000 0.000 0.000 0.000 0.388
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 5 0.0146 0.8527 0.000 0.000 0.004 0.000 0.996 0.000
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.0000 0.8763 1.000 0.000 0.000 0.000 0.000 0.000
#> 057B580C-13FD-4185-943C-9DD5266B8554 3 0.3912 0.7145 0.000 0.000 0.776 0.008 0.068 0.148
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 3 0.5756 0.2694 0.000 0.000 0.508 0.220 0.000 0.272
#> 287F3696-25CF-4E67-A934-E50856AD4790 5 0.2003 0.7929 0.000 0.116 0.000 0.000 0.884 0.000
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.0363 0.7434 0.000 0.988 0.012 0.000 0.000 0.000
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 6 0.3863 0.3689 0.000 0.000 0.028 0.260 0.000 0.712
#> B80A74AB-A264-4396-93F8-FD976DBC1456 5 0.0146 0.8527 0.000 0.000 0.004 0.000 0.996 0.000
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.3619 0.3332 0.000 0.680 0.000 0.316 0.004 0.000
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.0000 0.8763 1.000 0.000 0.000 0.000 0.000 0.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.1141 0.8369 0.948 0.000 0.000 0.000 0.000 0.052
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 2 0.5970 0.1554 0.008 0.508 0.000 0.148 0.328 0.008
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 5 0.0146 0.8527 0.000 0.000 0.004 0.000 0.996 0.000
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.3859 0.7039 0.000 0.796 0.124 0.024 0.000 0.056
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.3647 0.4586 0.640 0.000 0.000 0.000 0.000 0.360
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 4 0.3766 0.4443 0.000 0.000 0.024 0.720 0.000 0.256
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.2219 0.6511 0.000 0.864 0.000 0.000 0.136 0.000
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.3151 0.6349 0.748 0.000 0.000 0.000 0.000 0.252
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.6260 0.5516 0.000 0.568 0.128 0.224 0.000 0.080
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 5 0.0146 0.8527 0.000 0.000 0.004 0.000 0.996 0.000
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 4 0.4075 0.5004 0.000 0.036 0.016 0.744 0.000 0.204
#> DD292494-92A2-43CB-B59B-726B2F429B29 4 0.4673 0.4780 0.000 0.124 0.116 0.732 0.000 0.028
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 6 0.2048 0.5841 0.120 0.000 0.000 0.000 0.000 0.880
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 4 0.1584 0.6086 0.000 0.000 0.008 0.928 0.000 0.064
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 4 0.4981 0.1993 0.000 0.068 0.000 0.496 0.436 0.000
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 5 0.5464 0.3204 0.000 0.012 0.016 0.064 0.576 0.332
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 6 0.4045 0.3006 0.428 0.000 0.000 0.008 0.000 0.564
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.0260 0.8715 0.992 0.000 0.008 0.000 0.000 0.000
#> 74CF740D-201D-4070-99B9-F007E7C4D472 3 0.3810 0.2981 0.000 0.000 0.572 0.000 0.000 0.428
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 2 0.8012 0.4539 0.000 0.460 0.124 0.156 0.140 0.120
#> 78F28873-E471-497A-9405-FB8955808599 5 0.0146 0.8527 0.000 0.000 0.004 0.000 0.996 0.000
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.3221 0.4780 0.000 0.736 0.000 0.000 0.264 0.000
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.0146 0.7412 0.000 0.996 0.000 0.000 0.004 0.000
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 2 0.5191 0.3382 0.000 0.532 0.016 0.396 0.000 0.056
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["SD", "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 17397 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 6.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.288 0.648 0.772 0.4891 0.505 0.505
#> 3 3 0.426 0.673 0.815 0.2121 0.836 0.695
#> 4 4 0.474 0.585 0.749 0.1213 0.901 0.773
#> 5 5 0.584 0.604 0.794 0.1086 0.795 0.505
#> 6 6 0.653 0.631 0.820 0.0718 0.880 0.585
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 6
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
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 1 0.7299 0.592262 0.796 0.204
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.0376 0.761000 0.996 0.004
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 1 0.7376 0.762008 0.792 0.208
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.7376 0.762008 0.792 0.208
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.7299 0.761900 0.796 0.204
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.4161 0.773588 0.916 0.084
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.0000 0.750355 0.000 1.000
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.7453 0.747849 0.212 0.788
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.0000 0.761044 1.000 0.000
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 1 0.9775 0.495220 0.588 0.412
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 2 0.9881 -0.131210 0.436 0.564
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 2 0.7299 0.747900 0.204 0.796
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.3114 0.772054 0.944 0.056
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 1 0.7376 0.762008 0.792 0.208
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.0000 0.761044 1.000 0.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 2 0.8661 0.682747 0.288 0.712
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 2 0.8207 0.464622 0.256 0.744
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 2 0.8443 0.724579 0.272 0.728
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.7299 0.761900 0.796 0.204
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.7299 0.761900 0.796 0.204
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 1 0.6712 0.696138 0.824 0.176
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 2 0.7299 0.747900 0.204 0.796
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 1 0.0000 0.761044 1.000 0.000
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 1 0.8016 0.744426 0.756 0.244
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 2 0.9866 -0.126322 0.432 0.568
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 1 0.7674 0.752406 0.776 0.224
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.7299 0.761900 0.796 0.204
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 1 0.7453 0.760626 0.788 0.212
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.7528 0.746506 0.216 0.784
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 2 0.7299 0.747900 0.204 0.796
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 1 1.0000 -0.338511 0.500 0.500
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#> 39A9B95F-186B-4550-9271-001151B1A626 2 0.1184 0.746532 0.016 0.984
#> CAD6E491-88FB-4221-90E9-AC9C68AECCB0 1 0.9896 0.432113 0.560 0.440
#> 15EFBC5B-C713-4718-BB6F-0EBBE4D6997F 2 0.3584 0.719807 0.068 0.932
#> BBA00038-09B1-461D-9F8E-484890B0D130 1 0.8267 0.735858 0.740 0.260
#> 16EBB885-A692-42A6-9027-F6AD769E0ABB 1 0.0938 0.763495 0.988 0.012
#> 2D57E24B-97A6-4B85-BC8F-3E02DDC6C460 2 0.0000 0.750355 0.000 1.000
#> C6E39F86-9DEF-4BCA-930B-2A3993D18901 2 0.7376 0.748330 0.208 0.792
#> 5BE4D8E9-DA18-426F-8AE6-075B15010390 1 0.2948 0.772106 0.948 0.052
#> 8E9CAAC7-31D3-473C-821C-2DAD37B44D3A 2 0.0000 0.750355 0.000 1.000
#> 368CFCA3-7BAB-4D6D-9AE1-55713A9965C1 1 0.1633 0.754508 0.976 0.024
#> 14DB79EF-DE2B-4197-AD32-F657E0655FCD 2 0.3733 0.718514 0.072 0.928
#> E73BCFCB-C5FE-4BF2-A236-B9E69711C121 2 0.9710 -0.005175 0.400 0.600
#> CDAFAFEA-365B-4F25-AEC0-639B6E0CB626 2 0.4939 0.686771 0.108 0.892
#> 48A2AAEB-7F60-4284-808E-2058A531B17C 2 0.7376 0.748330 0.208 0.792
#> D4276C6F-9F0F-4F74-A85E-1E54272ADDED 2 0.6801 0.755848 0.180 0.820
#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 2 0.2948 0.730224 0.052 0.948
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 2 0.3114 0.729277 0.056 0.944
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 1 0.9754 0.085996 0.592 0.408
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 1 0.0000 0.761044 1.000 0.000
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 1 0.5629 0.671646 0.868 0.132
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 1 0.1633 0.767827 0.976 0.024
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 1 0.4161 0.729876 0.916 0.084
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 1 0.7528 0.758806 0.784 0.216
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 1 0.7139 0.581262 0.804 0.196
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 2 0.0938 0.748048 0.012 0.988
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 2 0.7376 0.748330 0.208 0.792
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 1 0.8016 0.744264 0.756 0.244
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 2 0.7376 0.748330 0.208 0.792
#> C7997523-47CF-40F0-8803-AB873E38033C 2 0.9427 0.625761 0.360 0.640
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 2 0.0000 0.750355 0.000 1.000
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 2 0.7299 0.747900 0.204 0.796
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 1 0.3114 0.732884 0.944 0.056
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 1 0.7299 0.761900 0.796 0.204
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 2 0.7299 0.747900 0.204 0.796
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 2 0.3114 0.727729 0.056 0.944
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 1 0.3274 0.730324 0.940 0.060
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 2 0.3584 0.731075 0.068 0.932
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 1 0.3114 0.772651 0.944 0.056
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.7299 0.761900 0.796 0.204
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 1 0.7376 0.762008 0.792 0.208
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 1 0.0000 0.761044 1.000 0.000
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 2 0.7299 0.747900 0.204 0.796
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 2 0.9087 0.265964 0.324 0.676
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 2 0.2043 0.757437 0.032 0.968
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 2 0.0376 0.750387 0.004 0.996
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.7056 0.765507 0.808 0.192
#> E15EAAB4-0860-4716-9922-667F604CDF12 1 0.4939 0.774154 0.892 0.108
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 1 0.5519 0.674654 0.872 0.128
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 1 0.9963 0.437782 0.536 0.464
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 1 0.2043 0.750754 0.968 0.032
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.7376 0.762008 0.792 0.208
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 2 0.0376 0.751905 0.004 0.996
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 2 0.0376 0.750387 0.004 0.996
#> E2A4C651-977F-4F40-B5EC-46DF75944141 1 0.0000 0.761044 1.000 0.000
#> 433599CC-9DF5-4494-A607-8079FFE74D95 2 0.9661 0.018966 0.392 0.608
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 2 0.7745 0.741404 0.228 0.772
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 2 0.7299 0.747900 0.204 0.796
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.7376 0.762008 0.792 0.208
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 1 0.5737 0.679484 0.864 0.136
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 1 0.0000 0.761044 1.000 0.000
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 1 0.7602 0.543465 0.780 0.220
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 2 0.7299 0.747900 0.204 0.796
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 2 0.7299 0.747900 0.204 0.796
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.7139 0.752558 0.196 0.804
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 1 0.9983 0.361926 0.524 0.476
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.0000 0.750355 0.000 1.000
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.0000 0.761044 1.000 0.000
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 2 0.9896 0.435373 0.440 0.560
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.7376 0.762008 0.792 0.208
#> 057B580C-13FD-4185-943C-9DD5266B8554 1 0.7056 0.685783 0.808 0.192
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 1 0.5946 0.661072 0.856 0.144
#> 287F3696-25CF-4E67-A934-E50856AD4790 2 0.7299 0.747900 0.204 0.796
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.0376 0.750387 0.004 0.996
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 1 0.5946 0.657612 0.856 0.144
#> B80A74AB-A264-4396-93F8-FD976DBC1456 2 0.7299 0.747900 0.204 0.796
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.0376 0.750387 0.004 0.996
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.7376 0.762008 0.792 0.208
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.7376 0.762008 0.792 0.208
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 2 0.6438 0.751333 0.164 0.836
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 2 0.7299 0.747900 0.204 0.796
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.8443 0.726254 0.272 0.728
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.0000 0.761044 1.000 0.000
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 2 0.4161 0.707408 0.084 0.916
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.7299 0.747900 0.204 0.796
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.7219 0.763169 0.800 0.200
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.6973 0.749470 0.188 0.812
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 2 0.6623 0.756039 0.172 0.828
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 2 0.9000 0.281525 0.316 0.684
#> DD292494-92A2-43CB-B59B-726B2F429B29 2 0.8016 0.497846 0.244 0.756
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.0000 0.761044 1.000 0.000
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 1 0.7376 0.762008 0.792 0.208
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 2 0.3114 0.727729 0.056 0.944
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 2 0.9963 0.415645 0.464 0.536
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 1 0.7376 0.762008 0.792 0.208
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.0672 0.763277 0.992 0.008
#> 74CF740D-201D-4070-99B9-F007E7C4D472 1 0.5519 0.674654 0.872 0.128
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 1 0.9850 -0.124319 0.572 0.428
#> 78F28873-E471-497A-9405-FB8955808599 1 0.9732 0.085965 0.596 0.404
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.0376 0.750387 0.004 0.996
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.0672 0.749581 0.008 0.992
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 2 0.9522 0.102394 0.372 0.628
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.2400 0.71568 0.064 0.004 0.932
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.1878 0.80618 0.952 0.004 0.044
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 1 0.2945 0.82601 0.908 0.088 0.004
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.2945 0.82601 0.908 0.088 0.004
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.2945 0.82601 0.908 0.088 0.004
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.1643 0.80430 0.956 0.000 0.044
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.3425 0.71926 0.004 0.884 0.112
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.3276 0.74729 0.068 0.908 0.024
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.2681 0.80847 0.932 0.028 0.040
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 1 0.6095 0.43736 0.608 0.392 0.000
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 2 0.5785 0.50225 0.332 0.668 0.000
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 2 0.5098 0.60764 0.000 0.752 0.248
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.2564 0.81037 0.936 0.028 0.036
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 1 0.2945 0.82601 0.908 0.088 0.004
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.2681 0.80847 0.932 0.028 0.040
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 3 0.2066 0.69997 0.000 0.060 0.940
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 2 0.5318 0.64207 0.204 0.780 0.016
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 2 0.5536 0.70601 0.144 0.804 0.052
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.3267 0.82627 0.884 0.116 0.000
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.2796 0.83080 0.908 0.092 0.000
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 1 0.6630 0.59251 0.724 0.220 0.056
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 2 0.3966 0.74342 0.100 0.876 0.024
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 1 0.3009 0.80391 0.920 0.028 0.052
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 1 0.2772 0.82319 0.916 0.080 0.004
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 2 0.5859 0.42594 0.344 0.656 0.000
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 1 0.3551 0.82113 0.868 0.132 0.000
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.2945 0.82601 0.908 0.088 0.004
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 1 0.2945 0.82601 0.908 0.088 0.004
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.3141 0.74744 0.068 0.912 0.020
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 3 0.4062 0.65230 0.000 0.164 0.836
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 2 0.6107 0.66817 0.184 0.764 0.052
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.3267 0.71737 0.000 0.884 0.116
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.2945 0.82601 0.908 0.088 0.004
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 2 0.1919 0.75749 0.024 0.956 0.020
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 2 0.6102 0.47199 0.320 0.672 0.008
#> BE56F908-42DD-4019-A8AC-48884DA788B1 1 0.4465 0.76840 0.820 0.176 0.004
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 1 0.9233 0.24373 0.528 0.268 0.204
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 1 0.3272 0.83036 0.904 0.080 0.016
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 1 0.3499 0.79370 0.900 0.028 0.072
#> 791D9EB8-42E0-4192-B064-B1126CA14481 2 0.5067 0.71935 0.116 0.832 0.052
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 2 0.4931 0.62295 0.000 0.768 0.232
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 2 0.3669 0.74559 0.064 0.896 0.040
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.2796 0.83080 0.908 0.092 0.000
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.4346 0.78076 0.816 0.184 0.000
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 3 0.6354 0.64599 0.204 0.052 0.744
#> D47C7B74-BB01-4614-B683-652F7130729C 2 0.4015 0.72624 0.028 0.876 0.096
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 1 0.6079 0.45247 0.612 0.388 0.000
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 2 0.6341 0.47667 0.312 0.672 0.016
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.3267 0.82627 0.884 0.116 0.000
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.3045 0.74884 0.064 0.916 0.020
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.2945 0.82601 0.908 0.088 0.004
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 2 0.6140 0.26491 0.404 0.596 0.000
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 2 0.3141 0.74744 0.068 0.912 0.020
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 2 0.5216 0.59779 0.000 0.740 0.260
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 1 0.3116 0.76251 0.892 0.000 0.108
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 1 0.2945 0.82601 0.908 0.088 0.004
#> 58F11B66-AE40-417E-B465-811C6CF7311C 2 0.5760 0.46640 0.328 0.672 0.000
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.1643 0.80430 0.956 0.000 0.044
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 2 0.7329 0.19003 0.424 0.544 0.032
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 2 0.2261 0.74528 0.068 0.932 0.000
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 2 0.3116 0.72334 0.000 0.892 0.108
#> 739952C6-FF36-4E34-B881-E02FE17C4012 1 0.2681 0.80847 0.932 0.028 0.040
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 1 0.3267 0.82627 0.884 0.116 0.000
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 2 0.1129 0.76013 0.004 0.976 0.020
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 1 0.1878 0.80571 0.952 0.004 0.044
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 1 0.2400 0.82791 0.932 0.064 0.004
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 1 0.3267 0.82627 0.884 0.116 0.000
#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 1 0.1643 0.80430 0.956 0.000 0.044
#> F6B26185-139B-47A7-91EC-E885D94AC882 1 0.3009 0.80391 0.920 0.028 0.052
#> 81F30B6F-3E9A-4913-986B-C56D5F107A17 1 0.3694 0.79467 0.896 0.052 0.052
#> 2CCB3AE1-0D27-4493-B7AE-67C60BBC1C38 2 0.6225 0.32871 0.000 0.568 0.432
#> 329665BC-B959-47C5-B831-5546F94EDAC1 1 0.7801 0.11687 0.520 0.428 0.052
#> 8D4335F6-6ACB-4E38-B9F2-A2B5B647AE90 1 0.7065 0.56878 0.672 0.276 0.052
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#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 3 0.7276 0.33843 0.404 0.032 0.564
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 1 0.2681 0.80847 0.932 0.028 0.040
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 1 0.4892 0.78165 0.840 0.112 0.048
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 1 0.3267 0.82627 0.884 0.116 0.000
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 1 0.7470 0.39900 0.612 0.336 0.052
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 2 0.1529 0.75099 0.040 0.960 0.000
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 2 0.3045 0.74884 0.064 0.916 0.020
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 1 0.3752 0.81741 0.856 0.144 0.000
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 2 0.3045 0.74884 0.064 0.916 0.020
#> C7997523-47CF-40F0-8803-AB873E38033C 2 0.5588 0.71760 0.124 0.808 0.068
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 2 0.5497 0.56334 0.000 0.708 0.292
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 3 0.3482 0.67621 0.000 0.128 0.872
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 3 0.7072 0.26601 0.476 0.020 0.504
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 1 0.2796 0.83080 0.908 0.092 0.000
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 2 0.5058 0.61207 0.000 0.756 0.244
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 2 0.2261 0.74528 0.068 0.932 0.000
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 3 0.6225 0.34156 0.432 0.000 0.568
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 2 0.2165 0.74690 0.064 0.936 0.000
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 1 0.2564 0.82053 0.936 0.028 0.036
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.2400 0.82791 0.932 0.064 0.004
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 1 0.2945 0.82601 0.908 0.088 0.004
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 1 0.1989 0.80482 0.948 0.004 0.048
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 2 0.6621 0.65903 0.052 0.720 0.228
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 1 0.6451 0.32544 0.560 0.436 0.004
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 2 0.3267 0.71737 0.000 0.884 0.116
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 2 0.1529 0.75099 0.040 0.960 0.000
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.3377 0.83200 0.896 0.092 0.012
#> E15EAAB4-0860-4716-9922-667F604CDF12 1 0.2492 0.82875 0.936 0.048 0.016
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 1 0.6781 0.57813 0.704 0.244 0.052
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 1 0.6527 0.37673 0.588 0.404 0.008
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 1 0.6142 0.63155 0.748 0.040 0.212
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.2590 0.82802 0.924 0.072 0.004
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 2 0.3267 0.71737 0.000 0.884 0.116
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 2 0.0892 0.75978 0.000 0.980 0.020
#> E2A4C651-977F-4F40-B5EC-46DF75944141 1 0.2681 0.80847 0.932 0.028 0.040
#> 433599CC-9DF5-4494-A607-8079FFE74D95 1 0.7858 0.37785 0.572 0.364 0.064
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 2 0.4982 0.72788 0.096 0.840 0.064
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 3 0.4555 0.61702 0.000 0.200 0.800
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.2945 0.82601 0.908 0.088 0.004
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 1 0.6400 0.59644 0.740 0.208 0.052
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 1 0.3009 0.80391 0.920 0.028 0.052
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.0892 0.71005 0.020 0.000 0.980
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 3 0.6192 0.14077 0.000 0.420 0.580
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 3 0.4504 0.62195 0.000 0.196 0.804
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.3045 0.74884 0.064 0.916 0.020
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 2 0.6302 -0.02159 0.480 0.520 0.000
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.3267 0.71737 0.000 0.884 0.116
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.1643 0.80430 0.956 0.000 0.044
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 3 0.4682 0.62602 0.004 0.192 0.804
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.2400 0.82791 0.932 0.064 0.004
#> 057B580C-13FD-4185-943C-9DD5266B8554 1 0.6735 0.62168 0.696 0.260 0.044
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 1 0.6964 0.58461 0.684 0.264 0.052
#> 287F3696-25CF-4E67-A934-E50856AD4790 2 0.5178 0.60153 0.000 0.744 0.256
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.0892 0.75978 0.000 0.980 0.020
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 1 0.7492 0.38122 0.608 0.340 0.052
#> B80A74AB-A264-4396-93F8-FD976DBC1456 2 0.6252 0.29804 0.000 0.556 0.444
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.2050 0.75395 0.028 0.952 0.020
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.3682 0.82699 0.876 0.116 0.008
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.2945 0.82601 0.908 0.088 0.004
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 2 0.3752 0.75779 0.096 0.884 0.020
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 2 0.6295 0.30279 0.000 0.528 0.472
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.3670 0.75075 0.092 0.888 0.020
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.1643 0.80430 0.956 0.000 0.044
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 2 0.4128 0.70983 0.132 0.856 0.012
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.3993 0.73533 0.064 0.884 0.052
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.3030 0.83128 0.904 0.092 0.004
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.3587 0.75429 0.088 0.892 0.020
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 2 0.6161 0.58138 0.020 0.708 0.272
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 2 0.5986 0.54258 0.284 0.704 0.012
#> DD292494-92A2-43CB-B59B-726B2F429B29 2 0.5639 0.60939 0.232 0.752 0.016
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.1643 0.80430 0.956 0.000 0.044
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 1 0.3267 0.82627 0.884 0.116 0.000
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 2 0.3267 0.72444 0.116 0.884 0.000
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 2 0.6710 0.65204 0.196 0.732 0.072
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 1 0.2945 0.82601 0.908 0.088 0.004
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.1529 0.80622 0.960 0.000 0.040
#> 74CF740D-201D-4070-99B9-F007E7C4D472 1 0.6703 0.58803 0.712 0.236 0.052
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 1 0.7841 -0.03059 0.480 0.468 0.052
#> 78F28873-E471-497A-9405-FB8955808599 3 0.9447 0.04845 0.188 0.348 0.464
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.2050 0.75395 0.028 0.952 0.020
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.0892 0.75978 0.000 0.980 0.020
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 2 0.5656 0.57894 0.264 0.728 0.008
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.0000 0.8956 0.000 0.000 1.000 0.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.0804 0.7531 0.980 0.012 0.000 0.008
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 1 0.7322 0.6612 0.568 0.316 0.064 0.052
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.4328 0.6862 0.748 0.244 0.000 0.008
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.1902 0.7537 0.932 0.064 0.000 0.004
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.0188 0.7499 0.996 0.000 0.000 0.004
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.4661 0.5857 0.000 0.652 0.000 0.348
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.4936 0.5855 0.008 0.652 0.000 0.340
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.4100 0.7403 0.824 0.048 0.128 0.000
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 2 0.4800 -0.0371 0.340 0.656 0.000 0.004
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 2 0.4222 0.3638 0.272 0.728 0.000 0.000
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 2 0.5119 0.4673 0.000 0.556 0.004 0.440
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.0592 0.7560 0.984 0.016 0.000 0.000
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 1 0.5742 0.6732 0.648 0.300 0.000 0.052
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.0188 0.7499 0.996 0.000 0.000 0.004
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 4 0.4500 0.3912 0.000 0.000 0.316 0.684
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 2 0.3934 0.4540 0.116 0.836 0.000 0.048
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 2 0.6472 0.4955 0.052 0.712 0.136 0.100
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.4049 0.6962 0.780 0.212 0.000 0.008
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.0524 0.7515 0.988 0.004 0.000 0.008
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 1 0.5599 0.5873 0.664 0.288 0.048 0.000
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 2 0.4990 0.5846 0.008 0.640 0.000 0.352
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 1 0.5446 0.7238 0.764 0.076 0.140 0.020
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 1 0.0188 0.7499 0.996 0.000 0.000 0.004
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 2 0.5203 0.2776 0.232 0.720 0.000 0.048
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 1 0.4973 0.6584 0.644 0.348 0.000 0.008
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.4049 0.6962 0.780 0.212 0.000 0.008
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 1 0.4624 0.6694 0.660 0.340 0.000 0.000
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.5149 0.5837 0.016 0.648 0.000 0.336
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 4 0.1637 0.7405 0.000 0.000 0.060 0.940
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 2 0.4356 0.4626 0.044 0.812 0.140 0.004
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.4661 0.5857 0.000 0.652 0.000 0.348
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.4158 0.6882 0.768 0.224 0.000 0.008
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 2 0.4661 0.5857 0.000 0.652 0.000 0.348
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 2 0.3831 0.3742 0.204 0.792 0.000 0.004
#> BE56F908-42DD-4019-A8AC-48884DA788B1 1 0.6442 0.4979 0.492 0.440 0.000 0.068
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 1 0.8910 0.2926 0.480 0.124 0.140 0.256
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 1 0.6045 0.7399 0.736 0.148 0.064 0.052
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 1 0.6524 0.4227 0.560 0.016 0.376 0.048
#> 791D9EB8-42E0-4192-B064-B1126CA14481 2 0.7280 0.4843 0.044 0.636 0.140 0.180
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 2 0.4855 0.5255 0.000 0.600 0.000 0.400
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 2 0.4936 0.5624 0.000 0.624 0.004 0.372
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.0657 0.7532 0.984 0.012 0.000 0.004
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.5203 0.5942 0.576 0.416 0.000 0.008
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 3 0.0000 0.8956 0.000 0.000 1.000 0.000
#> D47C7B74-BB01-4614-B683-652F7130729C 2 0.4761 0.5686 0.000 0.628 0.000 0.372
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 2 0.6101 -0.2596 0.388 0.560 0.000 0.052
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 2 0.5130 0.3081 0.212 0.740 0.004 0.044
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.4973 0.6681 0.644 0.348 0.000 0.008
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.4661 0.5857 0.000 0.652 0.000 0.348
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.4158 0.6882 0.768 0.224 0.000 0.008
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 2 0.5343 0.1972 0.240 0.708 0.000 0.052
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 2 0.4661 0.5857 0.000 0.652 0.000 0.348
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 4 0.4655 0.2667 0.000 0.312 0.004 0.684
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 1 0.1743 0.7373 0.940 0.000 0.056 0.004
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 1 0.4722 0.6731 0.692 0.300 0.000 0.008
#> 58F11B66-AE40-417E-B465-811C6CF7311C 2 0.3710 0.3819 0.192 0.804 0.000 0.004
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.0000 0.7505 1.000 0.000 0.000 0.000
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 2 0.6637 0.2625 0.240 0.616 0.000 0.144
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 2 0.1022 0.5366 0.000 0.968 0.000 0.032
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 2 0.4661 0.5857 0.000 0.652 0.000 0.348
#> 739952C6-FF36-4E34-B881-E02FE17C4012 1 0.4182 0.7381 0.820 0.036 0.140 0.004
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 1 0.4814 0.6719 0.676 0.316 0.000 0.008
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 2 0.4661 0.5857 0.000 0.652 0.000 0.348
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 1 0.4565 0.7289 0.796 0.064 0.140 0.000
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 1 0.2578 0.7630 0.912 0.036 0.000 0.052
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 1 0.4158 0.6882 0.768 0.224 0.000 0.008
#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 1 0.4824 0.7306 0.796 0.016 0.140 0.048
#> F6B26185-139B-47A7-91EC-E885D94AC882 1 0.4636 0.7288 0.792 0.068 0.140 0.000
#> 81F30B6F-3E9A-4913-986B-C56D5F107A17 1 0.6077 0.7125 0.736 0.076 0.140 0.048
#> 2CCB3AE1-0D27-4493-B7AE-67C60BBC1C38 4 0.1743 0.7369 0.000 0.056 0.004 0.940
#> 329665BC-B959-47C5-B831-5546F94EDAC1 1 0.7375 0.2092 0.452 0.404 0.140 0.004
#> 8D4335F6-6ACB-4E38-B9F2-A2B5B647AE90 1 0.7383 0.4824 0.440 0.416 0.140 0.004
#> D181D0D8-FD8C-4259-9B34-97224CF27E1B 2 0.4053 0.5890 0.000 0.768 0.004 0.228
#> C0C10950-ABC5-4125-A33E-5AFA2D2574B0 2 0.4920 0.5605 0.000 0.628 0.004 0.368
#> 834D12DB-0925-422C-B15B-20A60A5F658C 2 0.6236 0.5550 0.032 0.700 0.068 0.200
#> 50314689-519F-4B27-884C-7816DD64CF4E 1 0.4158 0.6882 0.768 0.224 0.000 0.008
#> 2502A23E-E168-4A78-9C14-B93FBC9715B1 1 0.0188 0.7499 0.996 0.000 0.000 0.004
#> 3F8D01A3-5449-48A1-BDBA-BFE4D908AE31 1 0.6737 0.5955 0.532 0.368 0.000 0.100
#> 1C47A87B-C033-4705-B903-DB33B8C6EC34 1 0.6182 0.5640 0.520 0.428 0.000 0.052
#> 1329E1C1-743E-4541-9081-165572D4BF47 2 0.3444 0.4022 0.184 0.816 0.000 0.000
#> 1F3F8680-EEB6-4532-B81D-51957D1EA502 1 0.3668 0.7121 0.808 0.188 0.000 0.004
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#> 14DB79EF-DE2B-4197-AD32-F657E0655FCD 2 0.0707 0.5284 0.000 0.980 0.000 0.020
#> E73BCFCB-C5FE-4BF2-A236-B9E69711C121 2 0.4920 0.3164 0.192 0.756 0.000 0.052
#> CDAFAFEA-365B-4F25-AEC0-639B6E0CB626 2 0.3383 0.4746 0.076 0.872 0.000 0.052
#> 48A2AAEB-7F60-4284-808E-2058A531B17C 2 0.4661 0.5857 0.000 0.652 0.000 0.348
#> D4276C6F-9F0F-4F74-A85E-1E54272ADDED 2 0.4661 0.5857 0.000 0.652 0.000 0.348
#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 2 0.4454 0.5872 0.000 0.692 0.000 0.308
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 2 0.0188 0.5264 0.000 0.996 0.000 0.004
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 3 0.1792 0.8313 0.000 0.000 0.932 0.068
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 1 0.0188 0.7499 0.996 0.000 0.000 0.004
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 3 0.0188 0.8952 0.004 0.000 0.996 0.000
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 1 0.2944 0.7428 0.868 0.004 0.128 0.000
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 1 0.7286 0.6397 0.540 0.312 0.140 0.008
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 1 0.6020 0.6344 0.568 0.384 0.000 0.048
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 1 0.6985 0.4520 0.548 0.312 0.140 0.000
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 2 0.1389 0.5313 0.000 0.952 0.000 0.048
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 2 0.4661 0.5857 0.000 0.652 0.000 0.348
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 1 0.5334 0.5416 0.508 0.484 0.004 0.004
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 2 0.4661 0.5857 0.000 0.652 0.000 0.348
#> C7997523-47CF-40F0-8803-AB873E38033C 2 0.3743 0.5339 0.012 0.864 0.080 0.044
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 2 0.5132 0.4604 0.000 0.548 0.004 0.448
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 4 0.2149 0.7262 0.000 0.000 0.088 0.912
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 3 0.5155 0.2270 0.468 0.000 0.528 0.004
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 1 0.0376 0.7510 0.992 0.004 0.000 0.004
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 2 0.5105 0.4756 0.000 0.564 0.004 0.432
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 2 0.2469 0.5656 0.000 0.892 0.000 0.108
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 3 0.0188 0.8952 0.004 0.000 0.996 0.000
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 2 0.3569 0.5836 0.000 0.804 0.000 0.196
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 1 0.4982 0.7368 0.796 0.028 0.128 0.048
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.0188 0.7499 0.996 0.000 0.000 0.004
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 1 0.5742 0.6732 0.648 0.300 0.000 0.052
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 1 0.3377 0.7388 0.848 0.012 0.140 0.000
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 2 0.7000 0.4806 0.016 0.536 0.080 0.368
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 2 0.7978 -0.2767 0.336 0.508 0.064 0.092
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 2 0.4661 0.5857 0.000 0.652 0.000 0.348
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 2 0.4008 0.5855 0.000 0.756 0.000 0.244
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.0188 0.7499 0.996 0.000 0.000 0.004
#> E15EAAB4-0860-4716-9922-667F604CDF12 1 0.4842 0.7468 0.808 0.028 0.112 0.052
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 1 0.7319 0.6241 0.636 0.176 0.140 0.048
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 2 0.6176 -0.2544 0.424 0.524 0.000 0.052
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 1 0.6954 0.6001 0.628 0.064 0.260 0.048
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.0927 0.7536 0.976 0.016 0.000 0.008
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 2 0.4661 0.5857 0.000 0.652 0.000 0.348
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 2 0.4661 0.5857 0.000 0.652 0.000 0.348
#> E2A4C651-977F-4F40-B5EC-46DF75944141 1 0.4824 0.7306 0.796 0.016 0.140 0.048
#> 433599CC-9DF5-4494-A607-8079FFE74D95 2 0.6969 -0.2142 0.436 0.452 0.000 0.112
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 2 0.6340 0.3796 0.008 0.680 0.140 0.172
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 4 0.1807 0.7437 0.000 0.008 0.052 0.940
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.2198 0.7517 0.920 0.072 0.000 0.008
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 1 0.7278 0.6370 0.644 0.164 0.140 0.052
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 1 0.5407 0.7261 0.772 0.040 0.140 0.048
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.1302 0.8375 0.000 0.000 0.956 0.044
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 4 0.0524 0.7349 0.000 0.004 0.008 0.988
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 4 0.1888 0.7450 0.000 0.016 0.044 0.940
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.4643 0.5865 0.000 0.656 0.000 0.344
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 2 0.5649 0.0757 0.284 0.664 0.000 0.052
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.4661 0.5857 0.000 0.652 0.000 0.348
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.0000 0.7505 1.000 0.000 0.000 0.000
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 4 0.2039 0.7457 0.008 0.016 0.036 0.940
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.0524 0.7516 0.988 0.004 0.000 0.008
#> 057B580C-13FD-4185-943C-9DD5266B8554 2 0.7517 -0.5067 0.428 0.432 0.128 0.012
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 1 0.8239 0.5799 0.472 0.340 0.140 0.048
#> 287F3696-25CF-4E67-A934-E50856AD4790 2 0.5147 0.4380 0.000 0.536 0.004 0.460
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.4661 0.5857 0.000 0.652 0.000 0.348
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 1 0.7494 0.6059 0.616 0.196 0.140 0.048
#> B80A74AB-A264-4396-93F8-FD976DBC1456 4 0.1743 0.7369 0.000 0.056 0.004 0.940
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.4661 0.5857 0.000 0.652 0.000 0.348
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.6239 0.6782 0.632 0.296 0.064 0.008
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.3161 0.7616 0.864 0.124 0.000 0.012
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 2 0.5489 0.5835 0.040 0.664 0.000 0.296
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 4 0.3245 0.7115 0.000 0.056 0.064 0.880
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.4431 0.5868 0.000 0.696 0.000 0.304
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.0000 0.7505 1.000 0.000 0.000 0.000
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 2 0.3164 0.4793 0.064 0.884 0.000 0.052
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.4661 0.5857 0.000 0.652 0.000 0.348
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.3652 0.7653 0.856 0.092 0.052 0.000
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.4406 0.5862 0.000 0.700 0.000 0.300
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 4 0.5028 -0.2256 0.000 0.400 0.004 0.596
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 2 0.3710 0.3819 0.192 0.804 0.000 0.004
#> DD292494-92A2-43CB-B59B-726B2F429B29 2 0.4964 0.3545 0.168 0.764 0.068 0.000
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.3711 0.7370 0.836 0.000 0.140 0.024
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 1 0.7322 0.6612 0.568 0.316 0.064 0.052
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 2 0.2761 0.5330 0.048 0.904 0.000 0.048
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 2 0.4424 0.4861 0.028 0.836 0.080 0.056
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 1 0.6710 0.7305 0.668 0.216 0.064 0.052
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.0188 0.7499 0.996 0.000 0.000 0.004
#> 74CF740D-201D-4070-99B9-F007E7C4D472 1 0.6386 0.6110 0.648 0.212 0.140 0.000
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 2 0.9014 0.0812 0.352 0.400 0.140 0.108
#> 78F28873-E471-497A-9405-FB8955808599 4 0.5909 0.2974 0.172 0.004 0.116 0.708
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.4661 0.5857 0.000 0.652 0.000 0.348
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.4661 0.5857 0.000 0.652 0.000 0.348
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 2 0.3172 0.4450 0.160 0.840 0.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.0000 0.932260 0.000 0.000 1.000 0.000 0.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.4452 0.582000 0.500 0.000 0.000 0.496 0.004
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 4 0.3966 0.478257 0.336 0.000 0.000 0.664 0.000
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 4 0.1357 0.512432 0.048 0.000 0.000 0.948 0.004
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 4 0.3662 0.046093 0.252 0.000 0.000 0.744 0.004
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.4420 0.620929 0.548 0.000 0.000 0.448 0.004
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.0000 0.836365 0.000 1.000 0.000 0.000 0.000
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.0000 0.836365 0.000 1.000 0.000 0.000 0.000
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.4201 0.641245 0.592 0.000 0.000 0.408 0.000
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 4 0.3707 0.497383 0.000 0.284 0.000 0.716 0.000
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 2 0.5578 0.494483 0.112 0.616 0.000 0.272 0.000
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 2 0.3621 0.709999 0.020 0.788 0.000 0.000 0.192
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.4210 0.640115 0.588 0.000 0.000 0.412 0.000
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 4 0.3796 0.518542 0.300 0.000 0.000 0.700 0.000
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.4425 0.618792 0.544 0.000 0.000 0.452 0.004
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 5 0.0162 0.960490 0.000 0.000 0.004 0.000 0.996
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 4 0.5447 0.534816 0.400 0.064 0.000 0.536 0.000
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 2 0.5591 0.228152 0.076 0.528 0.000 0.396 0.000
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 4 0.1502 0.502653 0.056 0.000 0.000 0.940 0.004
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.4449 0.595405 0.512 0.000 0.000 0.484 0.004
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 1 0.5875 0.484485 0.592 0.256 0.000 0.152 0.000
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 2 0.2804 0.790533 0.016 0.880 0.000 0.012 0.092
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 1 0.5309 0.576546 0.676 0.164 0.000 0.160 0.000
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 1 0.4425 0.618792 0.544 0.000 0.000 0.452 0.004
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 4 0.5129 0.554955 0.328 0.056 0.000 0.616 0.000
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 4 0.1121 0.557975 0.044 0.000 0.000 0.956 0.000
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 4 0.1704 0.487304 0.068 0.000 0.000 0.928 0.004
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 4 0.3992 0.536100 0.124 0.080 0.000 0.796 0.000
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.1043 0.817827 0.040 0.960 0.000 0.000 0.000
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 5 0.0162 0.963701 0.000 0.004 0.000 0.000 0.996
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 2 0.4268 0.180531 0.000 0.556 0.000 0.444 0.000
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.0000 0.836365 0.000 1.000 0.000 0.000 0.000
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 4 0.1282 0.516490 0.044 0.000 0.000 0.952 0.004
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 2 0.0162 0.835593 0.004 0.996 0.000 0.000 0.000
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 4 0.4029 0.448756 0.004 0.316 0.000 0.680 0.000
#> BE56F908-42DD-4019-A8AC-48884DA788B1 4 0.4752 0.538361 0.316 0.036 0.000 0.648 0.000
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 1 0.6371 0.371502 0.544 0.220 0.000 0.004 0.232
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 1 0.2329 0.633229 0.876 0.000 0.000 0.124 0.000
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 1 0.5393 0.267309 0.608 0.000 0.312 0.080 0.000
#> 791D9EB8-42E0-4192-B064-B1126CA14481 2 0.1357 0.816347 0.048 0.948 0.000 0.004 0.000
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 2 0.0880 0.819940 0.000 0.968 0.000 0.000 0.032
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 2 0.3087 0.754219 0.008 0.836 0.000 0.004 0.152
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.4446 0.602193 0.520 0.000 0.000 0.476 0.004
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 4 0.0000 0.551888 0.000 0.000 0.000 1.000 0.000
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 3 0.0000 0.932260 0.000 0.000 1.000 0.000 0.000
#> D47C7B74-BB01-4614-B683-652F7130729C 2 0.2230 0.780771 0.000 0.884 0.000 0.000 0.116
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 4 0.4885 0.540751 0.400 0.028 0.000 0.572 0.000
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 4 0.5852 0.534716 0.372 0.104 0.000 0.524 0.000
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 4 0.0000 0.551888 0.000 0.000 0.000 1.000 0.000
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.0000 0.836365 0.000 1.000 0.000 0.000 0.000
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 4 0.0162 0.549824 0.000 0.000 0.000 0.996 0.004
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 4 0.5111 0.536016 0.408 0.040 0.000 0.552 0.000
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 2 0.0000 0.836365 0.000 1.000 0.000 0.000 0.000
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 5 0.3966 0.451088 0.000 0.336 0.000 0.000 0.664
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 1 0.5921 0.563089 0.460 0.000 0.088 0.448 0.004
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 4 0.0000 0.551888 0.000 0.000 0.000 1.000 0.000
#> 58F11B66-AE40-417E-B465-811C6CF7311C 4 0.3796 0.473413 0.000 0.300 0.000 0.700 0.000
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.4201 0.641245 0.592 0.000 0.000 0.408 0.000
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 4 0.5294 0.481492 0.324 0.044 0.000 0.620 0.012
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 2 0.4959 0.645432 0.128 0.712 0.000 0.160 0.000
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 2 0.0000 0.836365 0.000 1.000 0.000 0.000 0.000
#> 739952C6-FF36-4E34-B881-E02FE17C4012 1 0.4451 0.588851 0.504 0.000 0.000 0.492 0.004
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 4 0.0000 0.551888 0.000 0.000 0.000 1.000 0.000
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#> 135743C3-829E-46DC-BBA9-FF07C8067612 4 0.1282 0.516560 0.044 0.000 0.000 0.952 0.004
#> CBD7775A-2802-4EB7-9F62-6B80D7667AED 4 0.5555 0.575532 0.204 0.152 0.000 0.644 0.000
#> BD6DAD3D-2D5F-4560-9A4C-70D8A1D49732 4 0.4434 -0.529485 0.460 0.000 0.000 0.536 0.004
#> ED86F92E-6B39-4C0C-9A60-870984F53C4D 1 0.4452 0.581234 0.500 0.000 0.000 0.496 0.004
#> CD3B289F-FAE1-405F-875F-23C1D2609DFC 2 0.4882 0.189744 0.024 0.532 0.000 0.444 0.000
#> D1C0E70B-B2BB-4FE7-8DEC-B50659739BAA 2 0.0000 0.836365 0.000 1.000 0.000 0.000 0.000
#> D2417A9C-CBF0-47F6-B20C-FB32AF632A84 4 0.5167 0.218396 0.044 0.404 0.000 0.552 0.000
#> EF5618C6-6AFB-4FB5-A32B-7946F18E9736 4 0.1205 0.520365 0.040 0.000 0.000 0.956 0.004
#> 36040CAB-FF77-4540-BB44-7961A6A54B29 2 0.4395 0.692283 0.064 0.748 0.000 0.000 0.188
#> 3808C3A9-22DA-4DC5-9F51-884A7EF574E6 1 0.2773 0.657604 0.836 0.000 0.000 0.164 0.000
#> 24363857-9A33-40D4-8409-C17225570833 2 0.4341 0.442735 0.008 0.628 0.000 0.364 0.000
#> A57E6132-9B76-493A-A167-8462263B7CDB 4 0.3011 0.564973 0.016 0.140 0.000 0.844 0.000
#> 4C020890-E652-4DE4-B66D-5F6F71405F64 1 0.4658 -0.290335 0.504 0.012 0.000 0.484 0.000
#> 90C991CD-412E-4318-96E3-EB84B868FE9F 2 0.0000 0.836365 0.000 1.000 0.000 0.000 0.000
#> FA8E73EA-649C-43ED-854E-B9472820D1C6 4 0.5470 0.349907 0.080 0.332 0.000 0.588 0.000
#> 4D46B5DE-186A-4D35-8E1B-64701C13BC69 5 0.0162 0.963701 0.000 0.004 0.000 0.000 0.996
#> D516A82D-2F77-46B2-90F7-30BA5C78AAC8 2 0.0000 0.836365 0.000 1.000 0.000 0.000 0.000
#> 1FBD0805-13AE-4A82-8B94-640E1C921262 3 0.0000 0.932260 0.000 0.000 1.000 0.000 0.000
#> 264525A9-F7DB-4012-A93B-CF8A7626F125 5 0.0404 0.954951 0.000 0.012 0.000 0.000 0.988
#> AFF029D8-FFC9-4AA9-8049-F1E27C743F6F 4 0.4617 0.484234 0.436 0.000 0.000 0.552 0.012
#> 5B65768D-0E81-4469-9D69-69B07ED5ACD5 2 0.6203 -0.094323 0.396 0.464 0.000 0.140 0.000
#> 2CB06CA6-8D1F-4BC7-99BE-66921805B8FD 2 0.0000 0.836365 0.000 1.000 0.000 0.000 0.000
#> 956357FB-9AB3-497C-BB55-9D15B486A422 1 0.2127 0.430575 0.892 0.000 0.000 0.108 0.000
#> C8F2BAD0-7124-46BF-975C-4B44BE980F93 1 0.4425 0.618792 0.544 0.000 0.000 0.452 0.004
#> E96AE267-3E23-4EA9-93E2-D92558155A17 3 0.0000 0.932260 0.000 0.000 1.000 0.000 0.000
#> 1C8DCA5B-965B-485A-83B6-5CBEB2117E47 2 0.4808 0.653755 0.108 0.724 0.000 0.168 0.000
#> DEAB79F5-336A-49B4-8046-AEE2F567FE46 1 0.4383 0.633350 0.572 0.000 0.000 0.424 0.004
#> 767FE89E-E19F-4F56-A744-CB3C5CCC085B 4 0.5408 0.531596 0.408 0.060 0.000 0.532 0.000
#> 7B0BF632-79E5-46B5-AAC8-4A6D5A193449 5 0.0162 0.960490 0.000 0.000 0.004 0.000 0.996
#> 9A281EDE-FF96-4E66-AEF4-692BDFA8E99D 2 0.1121 0.820494 0.000 0.956 0.000 0.044 0.000
#> B8C2D019-00C9-4E1E-8383-4FE2FFB4D2D7 3 0.0000 0.932260 0.000 0.000 1.000 0.000 0.000
#> 39A9B95F-186B-4550-9271-001151B1A626 2 0.0000 0.836365 0.000 1.000 0.000 0.000 0.000
#> CAD6E491-88FB-4221-90E9-AC9C68AECCB0 4 0.5052 0.534909 0.412 0.036 0.000 0.552 0.000
#> 15EFBC5B-C713-4718-BB6F-0EBBE4D6997F 2 0.2929 0.720830 0.000 0.820 0.000 0.180 0.000
#> BBA00038-09B1-461D-9F8E-484890B0D130 4 0.4015 0.467798 0.348 0.000 0.000 0.652 0.000
#> 16EBB885-A692-42A6-9027-F6AD769E0ABB 1 0.4201 0.641245 0.592 0.000 0.000 0.408 0.000
#> 2D57E24B-97A6-4B85-BC8F-3E02DDC6C460 2 0.3003 0.724592 0.000 0.812 0.000 0.000 0.188
#> C6E39F86-9DEF-4BCA-930B-2A3993D18901 2 0.0000 0.836365 0.000 1.000 0.000 0.000 0.000
#> 5BE4D8E9-DA18-426F-8AE6-075B15010390 1 0.2127 0.638880 0.892 0.000 0.000 0.108 0.000
#> 8E9CAAC7-31D3-473C-821C-2DAD37B44D3A 2 0.0000 0.836365 0.000 1.000 0.000 0.000 0.000
#> 368CFCA3-7BAB-4D6D-9AE1-55713A9965C1 3 0.0609 0.912762 0.020 0.000 0.980 0.000 0.000
#> 14DB79EF-DE2B-4197-AD32-F657E0655FCD 2 0.4083 0.667961 0.228 0.744 0.000 0.028 0.000
#> E73BCFCB-C5FE-4BF2-A236-B9E69711C121 4 0.5175 0.535143 0.408 0.044 0.000 0.548 0.000
#> CDAFAFEA-365B-4F25-AEC0-639B6E0CB626 4 0.5175 0.535143 0.408 0.044 0.000 0.548 0.000
#> 48A2AAEB-7F60-4284-808E-2058A531B17C 2 0.0162 0.835156 0.004 0.996 0.000 0.000 0.000
#> D4276C6F-9F0F-4F74-A85E-1E54272ADDED 2 0.0000 0.836365 0.000 1.000 0.000 0.000 0.000
#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 2 0.1484 0.818427 0.048 0.944 0.000 0.008 0.000
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 2 0.4811 0.105517 0.020 0.528 0.000 0.452 0.000
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 3 0.5122 0.488514 0.312 0.000 0.628 0.000 0.060
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 1 0.4425 0.618792 0.544 0.000 0.000 0.452 0.004
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 3 0.0000 0.932260 0.000 0.000 1.000 0.000 0.000
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 1 0.4201 0.641245 0.592 0.000 0.000 0.408 0.000
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 4 0.1478 0.495753 0.064 0.000 0.000 0.936 0.000
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 4 0.4503 0.547798 0.256 0.040 0.000 0.704 0.000
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 1 0.5030 0.340924 0.604 0.352 0.000 0.044 0.000
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 2 0.4086 0.585603 0.012 0.704 0.000 0.284 0.000
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 2 0.0000 0.836365 0.000 1.000 0.000 0.000 0.000
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 4 0.4206 0.483741 0.016 0.288 0.000 0.696 0.000
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 2 0.0000 0.836365 0.000 1.000 0.000 0.000 0.000
#> C7997523-47CF-40F0-8803-AB873E38033C 2 0.0771 0.829272 0.004 0.976 0.000 0.020 0.000
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 2 0.3700 0.668593 0.008 0.752 0.000 0.000 0.240
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 5 0.0162 0.963701 0.000 0.004 0.000 0.000 0.996
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 3 0.6862 -0.160821 0.252 0.000 0.388 0.356 0.004
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 1 0.4440 0.607765 0.528 0.000 0.000 0.468 0.004
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 2 0.3003 0.725236 0.000 0.812 0.000 0.000 0.188
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 2 0.4430 0.676237 0.076 0.752 0.000 0.172 0.000
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 3 0.0000 0.932260 0.000 0.000 1.000 0.000 0.000
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 2 0.0162 0.835446 0.000 0.996 0.000 0.004 0.000
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 1 0.2127 0.638880 0.892 0.000 0.000 0.108 0.000
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.4440 0.607765 0.528 0.000 0.000 0.468 0.004
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 4 0.4101 0.481527 0.372 0.000 0.000 0.628 0.000
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 1 0.4201 0.641245 0.592 0.000 0.000 0.408 0.000
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 2 0.7005 0.288583 0.328 0.480 0.000 0.036 0.156
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 4 0.5579 0.549674 0.264 0.116 0.000 0.620 0.000
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 2 0.0000 0.836365 0.000 1.000 0.000 0.000 0.000
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 2 0.0162 0.835446 0.000 0.996 0.000 0.004 0.000
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.4425 0.618792 0.544 0.000 0.000 0.452 0.004
#> E15EAAB4-0860-4716-9922-667F604CDF12 1 0.2813 0.651620 0.832 0.000 0.000 0.168 0.000
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 1 0.2522 0.642402 0.880 0.012 0.000 0.108 0.000
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 1 0.4451 -0.249816 0.504 0.004 0.000 0.492 0.000
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 1 0.3339 0.641125 0.840 0.000 0.048 0.112 0.000
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.4452 0.581874 0.500 0.000 0.000 0.496 0.004
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 2 0.0000 0.836365 0.000 1.000 0.000 0.000 0.000
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 2 0.0000 0.836365 0.000 1.000 0.000 0.000 0.000
#> E2A4C651-977F-4F40-B5EC-46DF75944141 1 0.2732 0.658736 0.840 0.000 0.000 0.160 0.000
#> 433599CC-9DF5-4494-A607-8079FFE74D95 4 0.2827 0.511114 0.044 0.020 0.000 0.892 0.044
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 4 0.7279 0.268589 0.304 0.312 0.000 0.364 0.020
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 5 0.0162 0.963701 0.000 0.004 0.000 0.000 0.996
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 4 0.3430 0.134482 0.220 0.000 0.000 0.776 0.004
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 1 0.2189 0.597180 0.904 0.012 0.000 0.084 0.000
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 1 0.2690 0.658130 0.844 0.000 0.000 0.156 0.000
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.0000 0.932260 0.000 0.000 1.000 0.000 0.000
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 5 0.0162 0.963701 0.000 0.004 0.000 0.000 0.996
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 5 0.0162 0.963701 0.000 0.004 0.000 0.000 0.996
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.0000 0.836365 0.000 1.000 0.000 0.000 0.000
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 1 0.5509 -0.481318 0.472 0.064 0.000 0.464 0.000
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.0000 0.836365 0.000 1.000 0.000 0.000 0.000
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.4210 0.640115 0.588 0.000 0.000 0.412 0.000
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 5 0.0162 0.963701 0.000 0.004 0.000 0.000 0.996
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.4449 0.595405 0.512 0.000 0.000 0.484 0.004
#> 057B580C-13FD-4185-943C-9DD5266B8554 4 0.5577 0.520494 0.172 0.184 0.000 0.644 0.000
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 1 0.5381 -0.463751 0.516 0.056 0.000 0.428 0.000
#> 287F3696-25CF-4E67-A934-E50856AD4790 2 0.3684 0.627668 0.000 0.720 0.000 0.000 0.280
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.0000 0.836365 0.000 1.000 0.000 0.000 0.000
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 1 0.1608 0.479171 0.928 0.072 0.000 0.000 0.000
#> B80A74AB-A264-4396-93F8-FD976DBC1456 5 0.0162 0.963701 0.000 0.004 0.000 0.000 0.996
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.0000 0.836365 0.000 1.000 0.000 0.000 0.000
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 4 0.1270 0.511077 0.052 0.000 0.000 0.948 0.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 4 0.4283 -0.295416 0.456 0.000 0.000 0.544 0.000
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 2 0.4104 0.718654 0.088 0.788 0.000 0.124 0.000
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 5 0.0162 0.963701 0.000 0.004 0.000 0.000 0.996
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.0000 0.836365 0.000 1.000 0.000 0.000 0.000
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.4210 0.640115 0.588 0.000 0.000 0.412 0.000
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 4 0.5175 0.535143 0.408 0.044 0.000 0.548 0.000
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.0000 0.836365 0.000 1.000 0.000 0.000 0.000
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.4210 0.640115 0.588 0.000 0.000 0.412 0.000
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.0162 0.835581 0.004 0.996 0.000 0.000 0.000
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 2 0.7420 -0.000587 0.260 0.376 0.000 0.032 0.332
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 2 0.5915 0.453918 0.152 0.584 0.000 0.264 0.000
#> DD292494-92A2-43CB-B59B-726B2F429B29 4 0.5744 0.350318 0.108 0.320 0.000 0.572 0.000
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.3837 0.659888 0.692 0.000 0.000 0.308 0.000
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 4 0.3707 0.520328 0.284 0.000 0.000 0.716 0.000
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 2 0.4850 0.616012 0.076 0.700 0.000 0.224 0.000
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 2 0.5840 0.522805 0.152 0.620 0.000 0.224 0.004
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 4 0.4307 0.125472 0.496 0.000 0.000 0.504 0.000
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.4425 0.618792 0.544 0.000 0.000 0.452 0.004
#> 74CF740D-201D-4070-99B9-F007E7C4D472 1 0.5832 0.493504 0.600 0.248 0.000 0.152 0.000
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 2 0.4249 0.219404 0.432 0.568 0.000 0.000 0.000
#> 78F28873-E471-497A-9405-FB8955808599 5 0.0162 0.959358 0.004 0.000 0.000 0.000 0.996
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.0000 0.836365 0.000 1.000 0.000 0.000 0.000
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.0000 0.836365 0.000 1.000 0.000 0.000 0.000
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 4 0.4030 0.383566 0.000 0.352 0.000 0.648 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.0000 0.9773 0.000 0.000 1.000 0.000 0.000 0.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.2300 0.7996 0.856 0.000 0.000 0.000 0.000 0.144
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 4 0.2902 0.4739 0.004 0.000 0.000 0.800 0.000 0.196
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.2762 0.7774 0.860 0.000 0.000 0.092 0.000 0.048
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.2597 0.7784 0.824 0.000 0.000 0.000 0.000 0.176
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.2378 0.7958 0.848 0.000 0.000 0.000 0.000 0.152
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.0260 0.8298 0.008 0.992 0.000 0.000 0.000 0.000
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.0363 0.8311 0.012 0.988 0.000 0.000 0.000 0.000
#> 18971368-40F0-42D3-B1A3-707850C53B18 6 0.0146 0.7281 0.004 0.000 0.000 0.000 0.000 0.996
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 4 0.6032 0.3948 0.012 0.356 0.000 0.460 0.000 0.172
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 2 0.5308 0.4311 0.008 0.620 0.000 0.228 0.000 0.144
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 2 0.4767 0.6400 0.016 0.696 0.000 0.000 0.200 0.088
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 6 0.0146 0.7281 0.004 0.000 0.000 0.000 0.000 0.996
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 4 0.3023 0.4774 0.004 0.000 0.000 0.784 0.000 0.212
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.0713 0.8120 0.972 0.000 0.000 0.000 0.000 0.028
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 5 0.0000 0.9348 0.000 0.000 0.000 0.000 1.000 0.000
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#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 2 0.0260 0.8310 0.008 0.992 0.000 0.000 0.000 0.000
#> E2A4C651-977F-4F40-B5EC-46DF75944141 6 0.0146 0.7281 0.004 0.000 0.000 0.000 0.000 0.996
#> 433599CC-9DF5-4494-A607-8079FFE74D95 1 0.7047 0.0491 0.364 0.020 0.000 0.352 0.032 0.232
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 4 0.4554 0.3797 0.008 0.348 0.000 0.616 0.024 0.004
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 5 0.0000 0.9348 0.000 0.000 0.000 0.000 1.000 0.000
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.2260 0.8020 0.860 0.000 0.000 0.000 0.000 0.140
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 6 0.5491 0.3848 0.008 0.108 0.000 0.356 0.000 0.528
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 6 0.0146 0.7281 0.004 0.000 0.000 0.000 0.000 0.996
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.0000 0.9773 0.000 0.000 1.000 0.000 0.000 0.000
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 5 0.0000 0.9348 0.000 0.000 0.000 0.000 1.000 0.000
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 5 0.0000 0.9348 0.000 0.000 0.000 0.000 1.000 0.000
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.0260 0.8310 0.008 0.992 0.000 0.000 0.000 0.000
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 4 0.3897 0.3181 0.008 0.016 0.000 0.712 0.000 0.264
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.0146 0.8304 0.004 0.996 0.000 0.000 0.000 0.000
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 6 0.0146 0.7281 0.004 0.000 0.000 0.000 0.000 0.996
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 5 0.0000 0.9348 0.000 0.000 0.000 0.000 1.000 0.000
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.2793 0.7561 0.800 0.000 0.000 0.000 0.000 0.200
#> 057B580C-13FD-4185-943C-9DD5266B8554 6 0.5602 -0.1644 0.004 0.132 0.000 0.364 0.000 0.500
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 4 0.1701 0.5209 0.008 0.000 0.000 0.920 0.000 0.072
#> 287F3696-25CF-4E67-A934-E50856AD4790 2 0.3615 0.6236 0.008 0.700 0.000 0.000 0.292 0.000
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.0260 0.8310 0.008 0.992 0.000 0.000 0.000 0.000
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 4 0.5657 0.0357 0.008 0.160 0.000 0.556 0.000 0.276
#> B80A74AB-A264-4396-93F8-FD976DBC1456 5 0.0000 0.9348 0.000 0.000 0.000 0.000 1.000 0.000
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.0000 0.8306 0.000 1.000 0.000 0.000 0.000 0.000
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 4 0.6007 0.0936 0.324 0.000 0.000 0.424 0.000 0.252
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 6 0.5461 0.3218 0.200 0.000 0.000 0.228 0.000 0.572
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 2 0.3479 0.6654 0.008 0.768 0.000 0.212 0.000 0.012
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 5 0.0000 0.9348 0.000 0.000 0.000 0.000 1.000 0.000
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.0260 0.8310 0.008 0.992 0.000 0.000 0.000 0.000
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 6 0.1075 0.7149 0.048 0.000 0.000 0.000 0.000 0.952
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 4 0.2400 0.5784 0.008 0.116 0.000 0.872 0.000 0.004
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.0458 0.8309 0.016 0.984 0.000 0.000 0.000 0.000
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 6 0.1219 0.7091 0.004 0.000 0.000 0.048 0.000 0.948
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.2048 0.7402 0.000 0.880 0.000 0.120 0.000 0.000
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 2 0.6285 0.0416 0.008 0.392 0.000 0.276 0.324 0.000
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 2 0.3955 0.2606 0.004 0.560 0.000 0.436 0.000 0.000
#> DD292494-92A2-43CB-B59B-726B2F429B29 4 0.4716 0.3331 0.004 0.376 0.000 0.576 0.000 0.044
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 6 0.0146 0.7281 0.004 0.000 0.000 0.000 0.000 0.996
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 4 0.3890 0.3089 0.004 0.000 0.000 0.596 0.000 0.400
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 2 0.4035 0.5632 0.012 0.700 0.000 0.272 0.000 0.016
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 2 0.4334 0.4267 0.016 0.616 0.000 0.360 0.004 0.004
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 4 0.3989 -0.0508 0.004 0.000 0.000 0.528 0.000 0.468
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.1007 0.8147 0.956 0.000 0.000 0.000 0.000 0.044
#> 74CF740D-201D-4070-99B9-F007E7C4D472 6 0.2146 0.6751 0.004 0.000 0.000 0.116 0.000 0.880
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 6 0.5352 0.3101 0.004 0.316 0.000 0.116 0.000 0.564
#> 78F28873-E471-497A-9405-FB8955808599 5 0.0000 0.9348 0.000 0.000 0.000 0.000 1.000 0.000
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.0260 0.8298 0.008 0.992 0.000 0.000 0.000 0.000
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.0260 0.8298 0.008 0.992 0.000 0.000 0.000 0.000
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 4 0.5600 0.3045 0.004 0.412 0.000 0.460 0.000 0.124
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["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 17397 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 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 0.620 0.856 0.915 0.3357 0.694 0.694
#> 3 3 0.421 0.440 0.683 0.6839 0.649 0.503
#> 4 4 0.479 0.690 0.792 0.1850 0.829 0.613
#> 5 5 0.470 0.423 0.665 0.0776 0.836 0.575
#> 6 6 0.551 0.493 0.715 0.0596 0.794 0.403
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
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 2 0.2778 0.8909 0.048 0.952
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.1414 0.9107 0.980 0.020
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 1 0.0672 0.9148 0.992 0.008
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.0938 0.9141 0.988 0.012
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.0938 0.9141 0.988 0.012
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.0938 0.9141 0.988 0.012
#> 966A3A03-3879-4816-A1E9-D805F6018836 1 0.7528 0.7827 0.784 0.216
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 1 0.7745 0.7706 0.772 0.228
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.1633 0.9086 0.976 0.024
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 1 0.0000 0.9153 1.000 0.000
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 1 0.2423 0.9069 0.960 0.040
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 1 0.9248 0.5667 0.660 0.340
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.0938 0.9141 0.988 0.012
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 1 0.0672 0.9148 0.992 0.008
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.1184 0.9127 0.984 0.016
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 2 0.3274 0.8984 0.060 0.940
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 1 0.1843 0.9106 0.972 0.028
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 1 0.4022 0.8895 0.920 0.080
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.1184 0.9127 0.984 0.016
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.1184 0.9127 0.984 0.016
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 1 0.1414 0.9122 0.980 0.020
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 2 0.9209 0.5419 0.336 0.664
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 1 0.0672 0.9148 0.992 0.008
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 1 0.8955 0.4468 0.688 0.312
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 1 0.1414 0.9122 0.980 0.020
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 1 0.0000 0.9153 1.000 0.000
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.1184 0.9127 0.984 0.016
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 1 0.0376 0.9152 0.996 0.004
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 1 0.7745 0.7706 0.772 0.228
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 2 0.3274 0.8984 0.060 0.940
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 1 0.5519 0.8583 0.872 0.128
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 1 0.7745 0.7706 0.772 0.228
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.1184 0.9127 0.984 0.016
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 1 0.3584 0.8951 0.932 0.068
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 1 0.1414 0.9122 0.980 0.020
#> BE56F908-42DD-4019-A8AC-48884DA788B1 1 0.1414 0.9122 0.980 0.020
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 1 0.3274 0.8975 0.940 0.060
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 1 0.0000 0.9153 1.000 0.000
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 2 0.9552 0.5771 0.376 0.624
#> 791D9EB8-42E0-4192-B064-B1126CA14481 1 0.7299 0.7947 0.796 0.204
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 2 0.9983 0.0131 0.476 0.524
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 1 0.8016 0.7511 0.756 0.244
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.0938 0.9141 0.988 0.012
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.0938 0.9141 0.988 0.012
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 2 0.2778 0.8909 0.048 0.952
#> D47C7B74-BB01-4614-B683-652F7130729C 2 0.9944 0.1850 0.456 0.544
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 1 0.1414 0.9122 0.980 0.020
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 1 0.1414 0.9122 0.980 0.020
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.1184 0.9127 0.984 0.016
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 1 0.7745 0.7706 0.772 0.228
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.1184 0.9127 0.984 0.016
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 1 0.1414 0.9122 0.980 0.020
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 1 0.7745 0.7706 0.772 0.228
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 2 0.3274 0.8984 0.060 0.940
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 2 0.8608 0.7055 0.284 0.716
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 1 0.0376 0.9150 0.996 0.004
#> 58F11B66-AE40-417E-B465-811C6CF7311C 1 0.0000 0.9153 1.000 0.000
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.0938 0.9141 0.988 0.012
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 1 0.1414 0.9122 0.980 0.020
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 1 0.1633 0.9114 0.976 0.024
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 1 0.7745 0.7706 0.772 0.228
#> 739952C6-FF36-4E34-B881-E02FE17C4012 1 0.1414 0.9109 0.980 0.020
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 1 0.0938 0.9141 0.988 0.012
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 1 0.6712 0.8200 0.824 0.176
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 1 0.0672 0.9148 0.992 0.008
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 1 0.1184 0.9127 0.984 0.016
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 1 0.0938 0.9141 0.988 0.012
#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 1 0.0938 0.9141 0.988 0.012
#> F6B26185-139B-47A7-91EC-E885D94AC882 1 0.0000 0.9153 1.000 0.000
#> 81F30B6F-3E9A-4913-986B-C56D5F107A17 1 0.1414 0.9122 0.980 0.020
#> 2CCB3AE1-0D27-4493-B7AE-67C60BBC1C38 2 0.3274 0.8984 0.060 0.940
#> 329665BC-B959-47C5-B831-5546F94EDAC1 1 0.4431 0.8817 0.908 0.092
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#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.0938 0.9141 0.988 0.012
#> E15EAAB4-0860-4716-9922-667F604CDF12 1 0.0672 0.9148 0.992 0.008
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 1 0.2043 0.9094 0.968 0.032
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 1 0.0672 0.9148 0.992 0.008
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 2 0.8144 0.7427 0.252 0.748
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.1184 0.9127 0.984 0.016
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 1 0.7745 0.7706 0.772 0.228
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 1 0.7745 0.7706 0.772 0.228
#> E2A4C651-977F-4F40-B5EC-46DF75944141 1 0.1414 0.9109 0.980 0.020
#> 433599CC-9DF5-4494-A607-8079FFE74D95 1 0.1633 0.9114 0.976 0.024
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 1 0.3733 0.8907 0.928 0.072
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 2 0.3274 0.8984 0.060 0.940
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.1184 0.9127 0.984 0.016
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 1 0.0000 0.9153 1.000 0.000
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 1 0.2043 0.9029 0.968 0.032
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 2 0.2778 0.8909 0.048 0.952
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 2 0.3274 0.8984 0.060 0.940
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 2 0.3274 0.8984 0.060 0.940
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 1 0.7674 0.7747 0.776 0.224
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 1 0.1414 0.9122 0.980 0.020
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 1 0.7745 0.7706 0.772 0.228
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.1633 0.9086 0.976 0.024
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 2 0.3274 0.8984 0.060 0.940
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.1414 0.9107 0.980 0.020
#> 057B580C-13FD-4185-943C-9DD5266B8554 1 0.0376 0.9154 0.996 0.004
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 1 0.1184 0.9127 0.984 0.016
#> 287F3696-25CF-4E67-A934-E50856AD4790 2 0.9044 0.5767 0.320 0.680
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 1 0.7745 0.7706 0.772 0.228
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 1 0.0000 0.9153 1.000 0.000
#> B80A74AB-A264-4396-93F8-FD976DBC1456 2 0.3274 0.8984 0.060 0.940
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 1 0.3733 0.8930 0.928 0.072
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.0938 0.9141 0.988 0.012
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.0938 0.9141 0.988 0.012
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 1 0.4161 0.8872 0.916 0.084
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 2 0.3274 0.8984 0.060 0.940
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 1 0.7745 0.7706 0.772 0.228
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.1633 0.9086 0.976 0.024
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 1 0.1414 0.9122 0.980 0.020
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 1 0.7745 0.7706 0.772 0.228
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.0938 0.9141 0.988 0.012
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 1 0.6531 0.8268 0.832 0.168
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 1 0.7950 0.6751 0.760 0.240
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 1 0.1414 0.9122 0.980 0.020
#> DD292494-92A2-43CB-B59B-726B2F429B29 1 0.2778 0.9043 0.952 0.048
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.1184 0.9127 0.984 0.016
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 1 0.0000 0.9153 1.000 0.000
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 1 0.2236 0.9080 0.964 0.036
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 1 0.2423 0.9064 0.960 0.040
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 1 0.0938 0.9141 0.988 0.012
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.9815 0.2956 0.580 0.420
#> 74CF740D-201D-4070-99B9-F007E7C4D472 1 0.6148 0.7873 0.848 0.152
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 1 0.5519 0.8552 0.872 0.128
#> 78F28873-E471-497A-9405-FB8955808599 2 0.3274 0.8984 0.060 0.940
#> 29294D9A-434B-4581-9591-63D16107C7B1 1 0.7602 0.7788 0.780 0.220
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 1 0.7745 0.7706 0.772 0.228
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 1 0.1414 0.9122 0.980 0.020
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.0000 0.66329 0.000 0.000 1.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.5859 0.77722 0.656 0.344 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 1 0.6204 0.74808 0.576 0.424 0.000
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.6126 0.77337 0.600 0.400 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.6111 0.78243 0.604 0.396 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.6045 0.78063 0.620 0.380 0.000
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.5968 0.20596 0.364 0.636 0.000
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.2356 0.50189 0.072 0.928 0.000
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.6008 0.77726 0.628 0.372 0.000
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 2 0.6309 -0.63410 0.500 0.500 0.000
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 2 0.5397 0.06255 0.280 0.720 0.000
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 1 0.9907 -0.58358 0.376 0.356 0.268
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.6045 0.78063 0.620 0.380 0.000
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 1 0.6154 0.76631 0.592 0.408 0.000
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.6008 0.77726 0.628 0.372 0.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 3 0.8857 0.70176 0.344 0.132 0.524
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 2 0.4399 0.27275 0.188 0.812 0.000
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 2 0.2356 0.49782 0.072 0.928 0.000
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.6045 0.78519 0.620 0.380 0.000
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.6026 0.78259 0.624 0.376 0.000
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 2 0.6204 -0.40441 0.424 0.576 0.000
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 3 0.9752 0.57715 0.352 0.232 0.416
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 1 0.6140 0.76686 0.596 0.404 0.000
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 3 0.8056 0.11926 0.400 0.068 0.532
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 1 0.6260 -0.04209 0.552 0.448 0.000
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 1 0.6180 0.76934 0.584 0.416 0.000
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.6095 0.77675 0.608 0.392 0.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 1 0.6225 0.73787 0.568 0.432 0.000
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.2261 0.49877 0.068 0.932 0.000
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 3 0.8857 0.70176 0.344 0.132 0.524
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 2 0.3482 0.42387 0.128 0.872 0.000
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.5650 0.29602 0.312 0.688 0.000
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.6095 0.77675 0.608 0.392 0.000
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 2 0.6247 0.20768 0.376 0.620 0.004
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 2 0.5948 -0.24221 0.360 0.640 0.000
#> BE56F908-42DD-4019-A8AC-48884DA788B1 1 0.6062 -0.13806 0.616 0.384 0.000
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 2 0.7180 0.35786 0.084 0.700 0.216
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 2 0.6302 -0.54971 0.480 0.520 0.000
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 3 0.6518 0.00878 0.484 0.004 0.512
#> 791D9EB8-42E0-4192-B064-B1126CA14481 2 0.2356 0.49782 0.072 0.928 0.000
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 2 0.9417 -0.16449 0.364 0.456 0.180
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 2 0.6189 0.20119 0.364 0.632 0.004
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.6045 0.78063 0.620 0.380 0.000
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.6126 0.77337 0.600 0.400 0.000
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 3 0.0000 0.66329 0.000 0.000 1.000
#> D47C7B74-BB01-4614-B683-652F7130729C 1 0.9984 -0.63158 0.360 0.312 0.328
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 2 0.6192 -0.44455 0.420 0.580 0.000
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 2 0.5926 -0.23240 0.356 0.644 0.000
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.6045 0.78343 0.620 0.380 0.000
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.5591 0.31839 0.304 0.696 0.000
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.6095 0.77675 0.608 0.392 0.000
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 2 0.6126 -0.37007 0.400 0.600 0.000
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 2 0.2261 0.49877 0.068 0.932 0.000
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 3 0.8872 0.69884 0.348 0.132 0.520
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 3 0.6079 0.27381 0.388 0.000 0.612
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 1 0.6305 0.64090 0.516 0.484 0.000
#> 58F11B66-AE40-417E-B465-811C6CF7311C 1 0.6295 0.66955 0.528 0.472 0.000
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.6026 0.77976 0.624 0.376 0.000
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 1 0.5733 -0.19666 0.676 0.324 0.000
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 1 0.6026 -0.30490 0.624 0.376 0.000
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 2 0.4504 0.48797 0.196 0.804 0.000
#> 739952C6-FF36-4E34-B881-E02FE17C4012 1 0.6008 0.77726 0.628 0.372 0.000
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 1 0.6045 0.78063 0.620 0.380 0.000
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 2 0.5968 0.20596 0.364 0.636 0.000
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 1 0.6204 0.74309 0.576 0.424 0.000
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 1 0.6008 0.78413 0.628 0.372 0.000
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 1 0.6062 0.78518 0.616 0.384 0.000
#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 1 0.6026 0.77886 0.624 0.376 0.000
#> F6B26185-139B-47A7-91EC-E885D94AC882 1 0.6280 0.68553 0.540 0.460 0.000
#> 81F30B6F-3E9A-4913-986B-C56D5F107A17 2 0.6062 -0.29113 0.384 0.616 0.000
#> 2CCB3AE1-0D27-4493-B7AE-67C60BBC1C38 3 0.8872 0.69884 0.348 0.132 0.520
#> 329665BC-B959-47C5-B831-5546F94EDAC1 2 0.2356 0.49782 0.072 0.928 0.000
#> 8D4335F6-6ACB-4E38-B9F2-A2B5B647AE90 1 0.6282 0.77903 0.612 0.384 0.004
#> D181D0D8-FD8C-4259-9B34-97224CF27E1B 2 0.2261 0.49877 0.068 0.932 0.000
#> C0C10950-ABC5-4125-A33E-5AFA2D2574B0 2 0.5968 0.20596 0.364 0.636 0.000
#> 834D12DB-0925-422C-B15B-20A60A5F658C 2 0.2261 0.49877 0.068 0.932 0.000
#> 50314689-519F-4B27-884C-7816DD64CF4E 1 0.6111 0.77552 0.604 0.396 0.000
#> 2502A23E-E168-4A78-9C14-B93FBC9715B1 3 0.6045 0.28030 0.380 0.000 0.620
#> 3F8D01A3-5449-48A1-BDBA-BFE4D908AE31 1 0.5465 -0.20652 0.712 0.288 0.000
#> 1C47A87B-C033-4705-B903-DB33B8C6EC34 2 0.6095 -0.33817 0.392 0.608 0.000
#> 1329E1C1-743E-4541-9081-165572D4BF47 2 0.1964 0.49724 0.056 0.944 0.000
#> 1F3F8680-EEB6-4532-B81D-51957D1EA502 1 0.6095 0.78129 0.608 0.392 0.000
#> 50F69785-8B7A-4933-85B1-8DC539ACC72A 1 0.6026 0.77976 0.624 0.376 0.000
#> 9095FDD8-EEB2-4B17-85AB-3CDAC0BEC759 1 0.7328 0.75988 0.596 0.364 0.040
#> B6BF8C22-03E4-44F0-B2EF-2A3DD6ADE7D7 1 0.6095 0.77805 0.608 0.392 0.000
#> D6A907FC-3A1B-4E3B-A440-1CE9BE9B334B 2 0.5678 0.29912 0.316 0.684 0.000
#> 02588D5D-89CB-4D0B-9E96-A0270C3FF866 2 0.2066 0.50650 0.060 0.940 0.000
#> D50BBFC7-7774-4B12-938C-8D5373C12DFC 2 0.6359 0.19589 0.364 0.628 0.008
#> 6E930060-502B-49F5-A385-9B91DEBD05E4 1 0.6026 0.78460 0.624 0.376 0.000
#> F6606A8E-ACC6-4826-9547-E0017521724D 1 0.6140 0.76682 0.596 0.404 0.000
#> 981584D3-10DB-455C-8132-E8E5F44E1222 2 0.2356 0.49782 0.072 0.928 0.000
#> 47F6E197-7164-4289-95B5-8FD305A13B4C 1 0.6026 0.77886 0.624 0.376 0.000
#> 4522D871-9379-4643-B15E-9ACB556276C4 1 0.6448 0.77888 0.636 0.352 0.012
#> 7560B2B5-6AF5-4600-9F0A-BE25CF99B6B9 1 0.6126 0.76811 0.600 0.400 0.000
#> 38F5957E-0A99-432D-8F0B-B48E03F17668 1 0.6126 0.78010 0.600 0.400 0.000
#> 7A6BBBE6-2B3B-44EB-A101-C823739AB24F 2 0.4974 0.41046 0.236 0.764 0.000
#> 0782D25A-3B14-499E-A40C-3852B3A15B8B 2 0.4555 0.46087 0.200 0.800 0.000
#> 31D4B639-D1E5-479B-AEC2-34F758F2E470 1 0.7334 0.32786 0.624 0.048 0.328
#> C49078E1-E730-4E81-8EAE-5AAAB9FA1BF5 3 0.9947 0.14880 0.292 0.328 0.380
#> 48BCD3B8-917F-4E8F-BCEA-1363570A6486 2 0.4346 0.32643 0.184 0.816 0.000
#> F3BA6259-9F68-47D0-ABDD-1272AE112CAB 2 0.5431 0.35064 0.284 0.716 0.000
#> 3CA49BB1-30F6-47F3-A751-D5601E16BDBA 2 0.2356 0.49782 0.072 0.928 0.000
#> 47747595-686A-46B5-9EF4-A4CFB85D746D 3 0.2878 0.62320 0.096 0.000 0.904
#> 87974EFF-C2DE-4930-93E3-015E6D996440 3 0.9550 0.62516 0.352 0.200 0.448
#> 7D272E6C-826D-4D02-8383-6A3D5BBF3A5F 3 0.0000 0.66329 0.000 0.000 1.000
#> 070E540B-34DB-4016-B573-84924407F57F 1 0.5968 0.77166 0.636 0.364 0.000
#> 63F4281A-4D90-4589-879E-549097FB3459 1 0.6126 0.77556 0.600 0.400 0.000
#> 93A66EA0-0C74-4342-8140-72ECB01F99A1 1 0.7158 0.76311 0.596 0.372 0.032
#> C92AD683-FD09-4DD2-A5A5-C72EA5DD9B46 2 0.6286 -0.52445 0.464 0.536 0.000
#> 38D2BE9E-15D4-47BC-8FEB-55310F23825B 2 0.5058 0.41225 0.244 0.756 0.000
#> B3029936-1EEF-4378-AA28-D5B2A32CDC86 1 0.5988 0.78319 0.632 0.368 0.000
#> 9A33172F-AEEA-4B7D-9605-0C60D7872CEA 1 0.8175 0.59621 0.632 0.236 0.132
#> F2BC32E5-4117-468E-B637-9EDB6E9CC6C7 3 0.6416 0.28157 0.376 0.008 0.616
#> EC319D0D-96C5-49DB-A2C4-BB6BFED6844F 1 0.6111 0.77552 0.604 0.396 0.000
#> 8CB71499-1B35-417D-95E1-D85CE71A2D8A 1 0.6126 0.77337 0.600 0.400 0.000
#> C5986AA8-D1C7-47BB-946F-1AE00503A444 2 0.0592 0.52392 0.012 0.988 0.000
#> CDB44ECD-3F01-4865-B4CC-5190E0FB64DC 1 0.6126 0.77337 0.600 0.400 0.000
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#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.5948 0.21466 0.360 0.640 0.000
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.6008 0.77726 0.628 0.372 0.000
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 3 0.8857 0.70176 0.344 0.132 0.524
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.5882 0.78028 0.652 0.348 0.000
#> 057B580C-13FD-4185-943C-9DD5266B8554 1 0.7890 0.71802 0.544 0.396 0.060
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 1 0.6673 0.76477 0.636 0.344 0.020
#> 287F3696-25CF-4E67-A934-E50856AD4790 3 0.9877 0.53240 0.352 0.260 0.388
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.1529 0.50993 0.040 0.960 0.000
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 1 0.6204 0.74392 0.576 0.424 0.000
#> B80A74AB-A264-4396-93F8-FD976DBC1456 3 0.8857 0.70176 0.344 0.132 0.524
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.5988 0.21004 0.368 0.632 0.000
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.6095 0.77889 0.608 0.392 0.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.6079 0.77781 0.612 0.388 0.000
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 2 0.3941 0.46764 0.156 0.844 0.000
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 3 0.8857 0.70176 0.344 0.132 0.524
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.2261 0.49877 0.068 0.932 0.000
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.6026 0.77976 0.624 0.376 0.000
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 2 0.6168 -0.40520 0.412 0.588 0.000
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.5882 0.23294 0.348 0.652 0.000
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.6045 0.78063 0.620 0.380 0.000
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.2261 0.49877 0.068 0.932 0.000
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 1 0.9959 -0.60628 0.376 0.324 0.300
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 2 0.5650 0.07468 0.312 0.688 0.000
#> DD292494-92A2-43CB-B59B-726B2F429B29 2 0.2165 0.50283 0.064 0.936 0.000
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.6427 0.76078 0.640 0.348 0.012
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 1 0.6299 0.67303 0.524 0.476 0.000
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 2 0.6267 0.41806 0.452 0.548 0.000
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 2 0.6794 0.27674 0.196 0.728 0.076
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 1 0.6095 0.77471 0.608 0.392 0.000
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 3 0.6811 0.46646 0.220 0.064 0.716
#> 74CF740D-201D-4070-99B9-F007E7C4D472 1 0.6955 -0.02302 0.496 0.016 0.488
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 2 0.4749 0.47239 0.072 0.852 0.076
#> 78F28873-E471-497A-9405-FB8955808599 3 0.8906 0.69885 0.344 0.136 0.520
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.5291 0.37790 0.268 0.732 0.000
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.5291 0.37076 0.268 0.732 0.000
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 2 0.5785 -0.18750 0.332 0.668 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.4543 0.7760 0.000 0.000 0.676 0.324
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.3992 0.7145 0.800 0.008 0.188 0.004
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 1 0.4125 0.8133 0.832 0.128 0.024 0.016
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.2737 0.8192 0.888 0.104 0.008 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.3404 0.8261 0.864 0.104 0.032 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.2928 0.7855 0.880 0.012 0.108 0.000
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.2198 0.7515 0.000 0.920 0.008 0.072
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.3523 0.7407 0.112 0.856 0.032 0.000
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.3048 0.7836 0.876 0.016 0.108 0.000
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 1 0.4718 0.6822 0.708 0.280 0.012 0.000
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 1 0.7740 -0.0117 0.452 0.376 0.160 0.012
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 2 0.6313 -0.1604 0.048 0.488 0.004 0.460
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.3048 0.7879 0.876 0.016 0.108 0.000
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 1 0.4015 0.8156 0.840 0.120 0.024 0.016
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.2928 0.7855 0.880 0.012 0.108 0.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 4 0.1042 0.7164 0.000 0.020 0.008 0.972
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 2 0.3909 0.7749 0.052 0.856 0.080 0.012
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 2 0.4869 0.7598 0.104 0.800 0.084 0.012
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.3307 0.8248 0.868 0.104 0.028 0.000
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.3557 0.7975 0.856 0.036 0.108 0.000
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 2 0.5172 0.6914 0.260 0.704 0.036 0.000
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 4 0.4855 0.4794 0.000 0.400 0.000 0.600
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 1 0.2987 0.7855 0.880 0.016 0.104 0.000
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 1 0.6222 0.0495 0.532 0.000 0.412 0.056
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 2 0.5331 0.6273 0.232 0.724 0.016 0.028
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 1 0.3105 0.8200 0.868 0.120 0.012 0.000
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.3108 0.8215 0.872 0.112 0.016 0.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 1 0.3032 0.8188 0.868 0.124 0.008 0.000
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.3523 0.7407 0.112 0.856 0.032 0.000
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 4 0.1042 0.7164 0.000 0.020 0.008 0.972
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 2 0.6847 0.5386 0.252 0.604 0.140 0.004
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.1798 0.7623 0.000 0.944 0.016 0.040
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.3047 0.8204 0.872 0.116 0.012 0.000
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 2 0.3398 0.7572 0.000 0.872 0.060 0.068
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 2 0.4303 0.7615 0.076 0.840 0.064 0.020
#> BE56F908-42DD-4019-A8AC-48884DA788B1 2 0.5793 0.5229 0.288 0.664 0.012 0.036
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 2 0.7181 0.6189 0.112 0.660 0.068 0.160
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 1 0.6096 0.2544 0.504 0.460 0.024 0.012
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 1 0.5498 0.4309 0.624 0.004 0.352 0.020
#> 791D9EB8-42E0-4192-B064-B1126CA14481 2 0.3523 0.7407 0.112 0.856 0.032 0.000
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 4 0.4992 0.3160 0.000 0.476 0.000 0.524
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 2 0.4992 -0.1798 0.000 0.524 0.000 0.476
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.3464 0.7958 0.860 0.032 0.108 0.000
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.2799 0.8200 0.884 0.108 0.008 0.000
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 3 0.4585 0.7703 0.000 0.000 0.668 0.332
#> D47C7B74-BB01-4614-B683-652F7130729C 4 0.4888 0.4487 0.000 0.412 0.000 0.588
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 2 0.5800 0.4808 0.300 0.656 0.028 0.016
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 2 0.4222 0.7640 0.080 0.832 0.084 0.004
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.3051 0.8208 0.884 0.088 0.028 0.000
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.3377 0.7009 0.000 0.848 0.012 0.140
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.3047 0.8204 0.872 0.116 0.012 0.000
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 2 0.6621 0.1626 0.396 0.540 0.024 0.040
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 2 0.3523 0.7407 0.112 0.856 0.032 0.000
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 4 0.2589 0.7130 0.000 0.116 0.000 0.884
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 3 0.5793 0.3672 0.384 0.000 0.580 0.036
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 1 0.3484 0.8108 0.844 0.144 0.008 0.004
#> 58F11B66-AE40-417E-B465-811C6CF7311C 1 0.4501 0.7553 0.764 0.212 0.024 0.000
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.2928 0.7855 0.880 0.012 0.108 0.000
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 2 0.5482 0.7080 0.148 0.764 0.056 0.032
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 2 0.4258 0.7648 0.048 0.848 0.064 0.040
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 2 0.3744 0.7588 0.076 0.868 0.028 0.028
#> 739952C6-FF36-4E34-B881-E02FE17C4012 1 0.3108 0.7839 0.872 0.016 0.112 0.000
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 1 0.2928 0.7855 0.880 0.012 0.108 0.000
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 2 0.1635 0.7620 0.000 0.948 0.008 0.044
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 1 0.4419 0.7529 0.812 0.084 0.104 0.000
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 1 0.2611 0.8207 0.896 0.096 0.008 0.000
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 1 0.4114 0.8243 0.828 0.112 0.060 0.000
#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 1 0.2867 0.7913 0.884 0.000 0.104 0.012
#> F6B26185-139B-47A7-91EC-E885D94AC882 1 0.7600 -0.1147 0.440 0.384 0.172 0.004
#> 81F30B6F-3E9A-4913-986B-C56D5F107A17 2 0.5471 0.7350 0.168 0.740 0.088 0.004
#> 2CCB3AE1-0D27-4493-B7AE-67C60BBC1C38 4 0.1022 0.7187 0.000 0.032 0.000 0.968
#> 329665BC-B959-47C5-B831-5546F94EDAC1 2 0.4458 0.7445 0.116 0.808 0.076 0.000
#> 8D4335F6-6ACB-4E38-B9F2-A2B5B647AE90 1 0.2368 0.8027 0.928 0.032 0.032 0.008
#> D181D0D8-FD8C-4259-9B34-97224CF27E1B 2 0.3523 0.7407 0.112 0.856 0.032 0.000
#> C0C10950-ABC5-4125-A33E-5AFA2D2574B0 2 0.3271 0.6993 0.000 0.856 0.012 0.132
#> 834D12DB-0925-422C-B15B-20A60A5F658C 2 0.3523 0.7484 0.112 0.856 0.032 0.000
#> 50314689-519F-4B27-884C-7816DD64CF4E 1 0.3047 0.8204 0.872 0.116 0.012 0.000
#> 2502A23E-E168-4A78-9C14-B93FBC9715B1 3 0.5650 0.2321 0.432 0.000 0.544 0.024
#> 3F8D01A3-5449-48A1-BDBA-BFE4D908AE31 2 0.5000 0.7320 0.128 0.796 0.040 0.036
#> 1C47A87B-C033-4705-B903-DB33B8C6EC34 2 0.5947 0.4813 0.292 0.656 0.032 0.020
#> 1329E1C1-743E-4541-9081-165572D4BF47 2 0.3806 0.7737 0.040 0.868 0.064 0.028
#> 1F3F8680-EEB6-4532-B81D-51957D1EA502 1 0.3978 0.8046 0.836 0.056 0.108 0.000
#> 50F69785-8B7A-4933-85B1-8DC539ACC72A 1 0.2928 0.7855 0.880 0.012 0.108 0.000
#> 9095FDD8-EEB2-4B17-85AB-3CDAC0BEC759 1 0.3322 0.8202 0.884 0.076 0.024 0.016
#> B6BF8C22-03E4-44F0-B2EF-2A3DD6ADE7D7 1 0.2928 0.7855 0.880 0.012 0.108 0.000
#> D6A907FC-3A1B-4E3B-A440-1CE9BE9B334B 2 0.2867 0.7359 0.000 0.884 0.012 0.104
#> 02588D5D-89CB-4D0B-9E96-A0270C3FF866 2 0.2722 0.7649 0.064 0.904 0.032 0.000
#> D50BBFC7-7774-4B12-938C-8D5373C12DFC 2 0.4761 0.2063 0.000 0.628 0.000 0.372
#> 6E930060-502B-49F5-A385-9B91DEBD05E4 1 0.3108 0.8214 0.872 0.112 0.016 0.000
#> F6606A8E-ACC6-4826-9547-E0017521724D 1 0.3734 0.7782 0.848 0.044 0.108 0.000
#> 981584D3-10DB-455C-8132-E8E5F44E1222 2 0.3523 0.7407 0.112 0.856 0.032 0.000
#> 47F6E197-7164-4289-95B5-8FD305A13B4C 1 0.2987 0.7849 0.880 0.016 0.104 0.000
#> 4522D871-9379-4643-B15E-9ACB556276C4 1 0.3146 0.8096 0.896 0.032 0.056 0.016
#> 7560B2B5-6AF5-4600-9F0A-BE25CF99B6B9 1 0.4641 0.7662 0.812 0.052 0.120 0.016
#> 38F5957E-0A99-432D-8F0B-B48E03F17668 1 0.3850 0.8245 0.840 0.116 0.044 0.000
#> 7A6BBBE6-2B3B-44EB-A101-C823739AB24F 2 0.1624 0.7696 0.000 0.952 0.028 0.020
#> 0782D25A-3B14-499E-A40C-3852B3A15B8B 2 0.1488 0.7661 0.000 0.956 0.012 0.032
#> 31D4B639-D1E5-479B-AEC2-34F758F2E470 1 0.4418 0.7674 0.784 0.008 0.192 0.016
#> C49078E1-E730-4E81-8EAE-5AAAB9FA1BF5 4 0.8472 0.1155 0.236 0.340 0.028 0.396
#> 48BCD3B8-917F-4E8F-BCEA-1363570A6486 2 0.5230 0.7411 0.152 0.760 0.084 0.004
#> F3BA6259-9F68-47D0-ABDD-1272AE112CAB 2 0.1182 0.7691 0.000 0.968 0.016 0.016
#> 3CA49BB1-30F6-47F3-A751-D5601E16BDBA 2 0.3523 0.7407 0.112 0.856 0.032 0.000
#> 47747595-686A-46B5-9EF4-A4CFB85D746D 3 0.5160 0.7104 0.104 0.000 0.760 0.136
#> 87974EFF-C2DE-4930-93E3-015E6D996440 4 0.4431 0.6421 0.000 0.304 0.000 0.696
#> 7D272E6C-826D-4D02-8383-6A3D5BBF3A5F 3 0.4543 0.7760 0.000 0.000 0.676 0.324
#> 070E540B-34DB-4016-B573-84924407F57F 1 0.3428 0.7857 0.844 0.000 0.144 0.012
#> 63F4281A-4D90-4589-879E-549097FB3459 1 0.3652 0.8095 0.856 0.052 0.092 0.000
#> 93A66EA0-0C74-4342-8140-72ECB01F99A1 1 0.3770 0.7787 0.840 0.016 0.136 0.008
#> C92AD683-FD09-4DD2-A5A5-C72EA5DD9B46 1 0.6407 0.4238 0.580 0.348 0.068 0.004
#> 38D2BE9E-15D4-47BC-8FEB-55310F23825B 2 0.4303 0.7682 0.064 0.840 0.076 0.020
#> B3029936-1EEF-4378-AA28-D5B2A32CDC86 1 0.1302 0.8096 0.956 0.000 0.044 0.000
#> 9A33172F-AEEA-4B7D-9605-0C60D7872CEA 1 0.3450 0.7828 0.836 0.000 0.156 0.008
#> F2BC32E5-4117-468E-B637-9EDB6E9CC6C7 3 0.5114 0.4462 0.280 0.004 0.696 0.020
#> EC319D0D-96C5-49DB-A2C4-BB6BFED6844F 1 0.2859 0.8203 0.880 0.112 0.008 0.000
#> 8CB71499-1B35-417D-95E1-D85CE71A2D8A 1 0.2918 0.8199 0.876 0.116 0.008 0.000
#> C5986AA8-D1C7-47BB-946F-1AE00503A444 2 0.3202 0.7757 0.012 0.888 0.076 0.024
#> CDB44ECD-3F01-4865-B4CC-5190E0FB64DC 1 0.3932 0.8094 0.836 0.128 0.032 0.004
#> 57633DCE-DC21-42AE-82EB-81F532CE9840 4 0.4941 0.4058 0.000 0.436 0.000 0.564
#> 715C1406-D224-466D-968E-46889824CD3D 2 0.4900 0.6975 0.168 0.780 0.036 0.016
#> 86A9A426-4B69-4572-9AFF-103C2724E5EA 1 0.6082 0.5545 0.712 0.016 0.168 0.104
#> A73A2348-FC50-42A5-ADF0-6647E5ECF0EA 1 0.5159 0.7598 0.744 0.212 0.028 0.016
#> 4BF75CF9-DA61-4A0B-940C-B09C7FE864F0 1 0.3205 0.8225 0.872 0.104 0.024 0.000
#> E3D18696-51D7-4BE3-A32B-3196E5F80438 1 0.2928 0.7855 0.880 0.012 0.108 0.000
#> C4C7C112-555F-46D5-8D5D-411C7737A4C9 3 0.4088 0.7522 0.004 0.000 0.764 0.232
#> 0A3E0A3D-D396-4340-8D98-4B79DBFC312C 2 0.1975 0.7735 0.012 0.944 0.028 0.016
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#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 2 0.1510 0.7700 0.000 0.956 0.028 0.016
#> E2A4C651-977F-4F40-B5EC-46DF75944141 1 0.3109 0.7851 0.880 0.016 0.100 0.004
#> 433599CC-9DF5-4494-A607-8079FFE74D95 2 0.4696 0.7571 0.076 0.824 0.064 0.036
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 2 0.5697 0.5042 0.000 0.664 0.056 0.280
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 4 0.0707 0.7194 0.000 0.020 0.000 0.980
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.2924 0.8200 0.884 0.100 0.016 0.000
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 1 0.6485 0.3057 0.532 0.412 0.020 0.036
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 1 0.3071 0.7837 0.884 0.008 0.096 0.012
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.4564 0.7723 0.000 0.000 0.672 0.328
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 4 0.0817 0.7213 0.000 0.024 0.000 0.976
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 4 0.1042 0.7164 0.000 0.020 0.008 0.972
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.1617 0.7746 0.008 0.956 0.012 0.024
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 2 0.5878 0.5548 0.252 0.688 0.032 0.028
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.3324 0.6927 0.000 0.852 0.012 0.136
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.3046 0.7851 0.884 0.016 0.096 0.004
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 4 0.1151 0.7191 0.000 0.024 0.008 0.968
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.3367 0.8080 0.884 0.040 0.064 0.012
#> 057B580C-13FD-4185-943C-9DD5266B8554 1 0.6418 0.5958 0.652 0.256 0.076 0.016
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 1 0.3477 0.8210 0.872 0.088 0.032 0.008
#> 287F3696-25CF-4E67-A934-E50856AD4790 4 0.4799 0.6535 0.004 0.284 0.008 0.704
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.1697 0.7750 0.016 0.952 0.028 0.004
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 1 0.6381 0.5694 0.668 0.164 0.164 0.004
#> B80A74AB-A264-4396-93F8-FD976DBC1456 4 0.1004 0.7206 0.000 0.024 0.004 0.972
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.3463 0.7674 0.012 0.880 0.060 0.048
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.2714 0.8204 0.884 0.112 0.004 0.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.3052 0.8178 0.880 0.104 0.004 0.012
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 2 0.6319 0.6088 0.224 0.684 0.056 0.036
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 4 0.1151 0.7191 0.000 0.024 0.008 0.968
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.3707 0.7415 0.112 0.852 0.032 0.004
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.2928 0.7855 0.880 0.012 0.108 0.000
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 1 0.6136 0.3318 0.548 0.412 0.024 0.016
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.4546 0.5215 0.000 0.732 0.012 0.256
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.2805 0.7870 0.888 0.012 0.100 0.000
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.3117 0.7539 0.092 0.880 0.028 0.000
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 4 0.5830 0.5544 0.000 0.332 0.048 0.620
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 2 0.4569 0.7599 0.060 0.832 0.068 0.040
#> DD292494-92A2-43CB-B59B-726B2F429B29 2 0.3877 0.7706 0.024 0.864 0.064 0.048
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.3390 0.7829 0.852 0.000 0.132 0.016
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 1 0.5168 0.7494 0.736 0.224 0.024 0.016
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 2 0.4821 0.7570 0.052 0.820 0.064 0.064
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 2 0.5940 0.7317 0.160 0.736 0.064 0.040
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 1 0.2593 0.8187 0.892 0.104 0.004 0.000
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.7044 -0.2460 0.452 0.000 0.428 0.120
#> 74CF740D-201D-4070-99B9-F007E7C4D472 1 0.5709 0.5162 0.588 0.004 0.384 0.024
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 2 0.5952 0.7170 0.112 0.752 0.068 0.068
#> 78F28873-E471-497A-9405-FB8955808599 4 0.2730 0.7160 0.000 0.088 0.016 0.896
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.1767 0.7650 0.000 0.944 0.012 0.044
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.1820 0.7645 0.000 0.944 0.020 0.036
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 2 0.4222 0.7642 0.084 0.832 0.080 0.004
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.1270 0.72179 0.000 0.000 0.948 0.000 0.052
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.2511 0.73696 0.892 0.088 0.004 0.016 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 1 0.4518 0.51499 0.660 0.004 0.016 0.320 0.000
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.0693 0.71331 0.980 0.000 0.008 0.012 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.3060 0.72717 0.848 0.024 0.000 0.128 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.4802 0.70592 0.736 0.104 0.004 0.156 0.000
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.4787 0.49713 0.000 0.548 0.000 0.432 0.020
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.1121 0.53219 0.000 0.956 0.000 0.044 0.000
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.5076 0.69301 0.712 0.128 0.004 0.156 0.000
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 4 0.6566 -0.24476 0.380 0.204 0.000 0.416 0.000
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 4 0.6992 -0.05779 0.284 0.308 0.008 0.400 0.000
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 2 0.5493 0.46939 0.000 0.628 0.000 0.264 0.108
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.4841 0.70535 0.732 0.104 0.004 0.160 0.000
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 1 0.4116 0.60817 0.732 0.004 0.016 0.248 0.000
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.4994 0.69775 0.720 0.124 0.004 0.152 0.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 5 0.0162 0.81806 0.000 0.004 0.000 0.000 0.996
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 2 0.4389 0.26119 0.004 0.624 0.004 0.368 0.000
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 2 0.3367 0.43462 0.076 0.856 0.004 0.060 0.004
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.1270 0.72376 0.948 0.000 0.000 0.052 0.000
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.4683 0.70669 0.748 0.104 0.004 0.144 0.000
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 2 0.4944 0.01738 0.012 0.560 0.012 0.416 0.000
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 2 0.6657 0.30148 0.000 0.424 0.000 0.340 0.236
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 4 0.6387 -0.40300 0.416 0.144 0.004 0.436 0.000
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 1 0.5652 0.63501 0.720 0.092 0.140 0.028 0.020
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 4 0.3934 0.16523 0.012 0.188 0.012 0.784 0.004
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 1 0.4914 0.44220 0.628 0.032 0.004 0.336 0.000
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.0798 0.71151 0.976 0.000 0.008 0.016 0.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 1 0.4505 0.43736 0.620 0.004 0.008 0.368 0.000
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.0162 0.52019 0.000 0.996 0.000 0.004 0.000
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 5 0.0162 0.81806 0.000 0.004 0.000 0.000 0.996
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 2 0.5602 0.20516 0.124 0.684 0.008 0.176 0.008
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.4192 0.51677 0.000 0.596 0.000 0.404 0.000
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.0898 0.71055 0.972 0.000 0.008 0.020 0.000
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 2 0.4589 0.47549 0.000 0.520 0.004 0.472 0.004
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 4 0.4649 0.15904 0.064 0.220 0.000 0.716 0.000
#> BE56F908-42DD-4019-A8AC-48884DA788B1 4 0.4108 0.17735 0.024 0.176 0.012 0.784 0.004
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 2 0.4003 0.37525 0.000 0.780 0.004 0.036 0.180
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 4 0.7038 0.03105 0.344 0.192 0.016 0.444 0.004
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 1 0.4714 0.72591 0.772 0.108 0.016 0.100 0.004
#> 791D9EB8-42E0-4192-B064-B1126CA14481 2 0.0000 0.51817 0.000 1.000 0.000 0.000 0.000
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 4 0.6647 -0.29611 0.000 0.344 0.000 0.424 0.232
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 4 0.6530 -0.32807 0.000 0.380 0.000 0.424 0.196
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.4841 0.70535 0.732 0.104 0.004 0.160 0.000
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.0693 0.71331 0.980 0.000 0.008 0.012 0.000
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 3 0.1444 0.71688 0.000 0.000 0.948 0.012 0.040
#> D47C7B74-BB01-4614-B683-652F7130729C 4 0.6871 -0.28247 0.000 0.328 0.008 0.432 0.232
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 2 0.7072 -0.24235 0.176 0.420 0.020 0.380 0.004
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 4 0.5434 0.07654 0.060 0.356 0.004 0.580 0.000
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.0898 0.71055 0.972 0.000 0.008 0.020 0.000
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.5420 0.47432 0.000 0.524 0.000 0.416 0.060
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.0898 0.71055 0.972 0.000 0.008 0.020 0.000
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 4 0.6086 0.17548 0.340 0.072 0.020 0.564 0.004
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 2 0.1502 0.53456 0.000 0.940 0.004 0.056 0.000
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 5 0.3460 0.70755 0.000 0.128 0.000 0.044 0.828
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 1 0.6852 0.48316 0.568 0.108 0.260 0.060 0.004
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 1 0.4380 0.47113 0.676 0.020 0.000 0.304 0.000
#> 58F11B66-AE40-417E-B465-811C6CF7311C 1 0.4686 0.36012 0.596 0.020 0.000 0.384 0.000
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.4841 0.70534 0.732 0.104 0.004 0.160 0.000
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 4 0.3684 0.14877 0.016 0.192 0.000 0.788 0.004
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 4 0.4015 -0.02752 0.004 0.284 0.004 0.708 0.000
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 2 0.3895 0.53811 0.000 0.680 0.000 0.320 0.000
#> 739952C6-FF36-4E34-B881-E02FE17C4012 1 0.6253 0.62366 0.572 0.128 0.016 0.284 0.000
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 1 0.5026 0.69774 0.716 0.120 0.004 0.160 0.000
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 2 0.4249 0.50299 0.000 0.568 0.000 0.432 0.000
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 4 0.6714 -0.22240 0.312 0.180 0.008 0.496 0.004
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 1 0.0579 0.71648 0.984 0.000 0.008 0.008 0.000
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 1 0.3835 0.71835 0.796 0.048 0.000 0.156 0.000
#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 1 0.5933 0.66973 0.612 0.104 0.016 0.268 0.000
#> F6B26185-139B-47A7-91EC-E885D94AC882 4 0.6504 -0.09643 0.260 0.220 0.004 0.516 0.000
#> 81F30B6F-3E9A-4913-986B-C56D5F107A17 2 0.4531 0.10520 0.004 0.568 0.004 0.424 0.000
#> 2CCB3AE1-0D27-4493-B7AE-67C60BBC1C38 5 0.0566 0.81365 0.000 0.004 0.000 0.012 0.984
#> 329665BC-B959-47C5-B831-5546F94EDAC1 2 0.1205 0.50779 0.000 0.956 0.004 0.040 0.000
#> 8D4335F6-6ACB-4E38-B9F2-A2B5B647AE90 1 0.5455 0.68721 0.656 0.108 0.004 0.232 0.000
#> D181D0D8-FD8C-4259-9B34-97224CF27E1B 2 0.0693 0.51741 0.012 0.980 0.000 0.008 0.000
#> C0C10950-ABC5-4125-A33E-5AFA2D2574B0 2 0.4481 0.50894 0.000 0.576 0.000 0.416 0.008
#> 834D12DB-0925-422C-B15B-20A60A5F658C 2 0.0671 0.52133 0.000 0.980 0.004 0.016 0.000
#> 50314689-519F-4B27-884C-7816DD64CF4E 1 0.0798 0.71151 0.976 0.000 0.008 0.016 0.000
#> 2502A23E-E168-4A78-9C14-B93FBC9715B1 1 0.6712 0.51237 0.588 0.108 0.244 0.056 0.004
#> 3F8D01A3-5449-48A1-BDBA-BFE4D908AE31 4 0.4171 0.13710 0.012 0.204 0.016 0.764 0.004
#> 1C47A87B-C033-4705-B903-DB33B8C6EC34 4 0.7171 0.22062 0.196 0.384 0.020 0.396 0.004
#> 1329E1C1-743E-4541-9081-165572D4BF47 2 0.4658 0.41882 0.008 0.556 0.004 0.432 0.000
#> 1F3F8680-EEB6-4532-B81D-51957D1EA502 1 0.5963 0.62660 0.580 0.128 0.004 0.288 0.000
#> 50F69785-8B7A-4933-85B1-8DC539ACC72A 1 0.5070 0.69558 0.712 0.124 0.004 0.160 0.000
#> 9095FDD8-EEB2-4B17-85AB-3CDAC0BEC759 1 0.4605 0.72068 0.772 0.108 0.008 0.108 0.004
#> B6BF8C22-03E4-44F0-B2EF-2A3DD6ADE7D7 1 0.5457 0.68850 0.668 0.132 0.004 0.196 0.000
#> D6A907FC-3A1B-4E3B-A440-1CE9BE9B334B 2 0.6444 0.38745 0.004 0.436 0.004 0.424 0.132
#> 02588D5D-89CB-4D0B-9E96-A0270C3FF866 2 0.2439 0.54266 0.000 0.876 0.004 0.120 0.000
#> D50BBFC7-7774-4B12-938C-8D5373C12DFC 4 0.6439 -0.37776 0.000 0.412 0.004 0.432 0.152
#> 6E930060-502B-49F5-A385-9B91DEBD05E4 1 0.0865 0.71460 0.972 0.000 0.004 0.024 0.000
#> F6606A8E-ACC6-4826-9547-E0017521724D 4 0.6419 -0.32314 0.368 0.128 0.012 0.492 0.000
#> 981584D3-10DB-455C-8132-E8E5F44E1222 2 0.0000 0.51817 0.000 1.000 0.000 0.000 0.000
#> 47F6E197-7164-4289-95B5-8FD305A13B4C 1 0.5185 0.69245 0.700 0.128 0.004 0.168 0.000
#> 4522D871-9379-4643-B15E-9ACB556276C4 1 0.4055 0.73260 0.808 0.108 0.004 0.076 0.004
#> 7560B2B5-6AF5-4600-9F0A-BE25CF99B6B9 4 0.6936 -0.31178 0.352 0.148 0.024 0.472 0.004
#> 38F5957E-0A99-432D-8F0B-B48E03F17668 1 0.3409 0.73538 0.836 0.052 0.000 0.112 0.000
#> 7A6BBBE6-2B3B-44EB-A101-C823739AB24F 2 0.4367 0.51105 0.000 0.580 0.004 0.416 0.000
#> 0782D25A-3B14-499E-A40C-3852B3A15B8B 2 0.4235 0.50582 0.000 0.576 0.000 0.424 0.000
#> 31D4B639-D1E5-479B-AEC2-34F758F2E470 1 0.6195 0.65818 0.596 0.128 0.012 0.260 0.004
#> C49078E1-E730-4E81-8EAE-5AAAB9FA1BF5 4 0.8353 0.08664 0.240 0.148 0.012 0.428 0.172
#> 48BCD3B8-917F-4E8F-BCEA-1363570A6486 2 0.3844 0.23327 0.004 0.736 0.004 0.256 0.000
#> F3BA6259-9F68-47D0-ABDD-1272AE112CAB 2 0.4227 0.50840 0.000 0.580 0.000 0.420 0.000
#> 3CA49BB1-30F6-47F3-A751-D5601E16BDBA 2 0.0000 0.51817 0.000 1.000 0.000 0.000 0.000
#> 47747595-686A-46B5-9EF4-A4CFB85D746D 3 0.6987 0.26738 0.324 0.108 0.520 0.024 0.024
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#> E73BCFCB-C5FE-4BF2-A236-B9E69711C121 1 0.5060 0.35794 0.568 0.008 0.016 0.404 0.004
#> CDAFAFEA-365B-4F25-AEC0-639B6E0CB626 4 0.4163 0.16268 0.012 0.192 0.020 0.772 0.004
#> 48A2AAEB-7F60-4284-808E-2058A531B17C 2 0.4367 0.51010 0.000 0.580 0.000 0.416 0.004
#> D4276C6F-9F0F-4F74-A85E-1E54272ADDED 2 0.6219 0.38687 0.000 0.440 0.000 0.420 0.140
#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 2 0.4383 0.50479 0.000 0.572 0.000 0.424 0.004
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 4 0.4420 -0.37730 0.000 0.448 0.004 0.548 0.000
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 5 0.9646 -0.12913 0.248 0.128 0.132 0.188 0.304
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 1 0.5107 0.69451 0.708 0.124 0.004 0.164 0.000
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 3 0.7480 0.10766 0.348 0.112 0.464 0.060 0.016
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 2 0.6718 -0.18893 0.160 0.472 0.016 0.352 0.000
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 1 0.1444 0.73152 0.948 0.040 0.000 0.012 0.000
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 4 0.6994 0.24835 0.168 0.352 0.020 0.456 0.004
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 2 0.6333 0.07018 0.144 0.584 0.008 0.256 0.008
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 4 0.4414 -0.23172 0.004 0.376 0.004 0.616 0.000
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 2 0.3508 0.54354 0.000 0.748 0.000 0.252 0.000
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 1 0.5157 0.42162 0.600 0.024 0.016 0.360 0.000
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 2 0.2020 0.53992 0.000 0.900 0.000 0.100 0.000
#> C7997523-47CF-40F0-8803-AB873E38033C 2 0.0000 0.51817 0.000 1.000 0.000 0.000 0.000
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 4 0.6687 -0.16126 0.000 0.208 0.004 0.444 0.344
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 5 0.0162 0.81806 0.000 0.004 0.000 0.000 0.996
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 3 0.7031 0.23465 0.340 0.108 0.504 0.024 0.024
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 1 0.4841 0.70535 0.732 0.104 0.004 0.160 0.000
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 2 0.4125 0.50893 0.000 0.772 0.000 0.172 0.056
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 2 0.4443 0.47624 0.000 0.524 0.004 0.472 0.000
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 3 0.1121 0.72334 0.000 0.000 0.956 0.000 0.044
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 2 0.0162 0.52000 0.000 0.996 0.000 0.004 0.000
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 1 0.5437 0.70035 0.680 0.104 0.012 0.204 0.000
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.2248 0.73688 0.900 0.088 0.000 0.012 0.000
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 1 0.3264 0.67586 0.820 0.000 0.016 0.164 0.000
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 1 0.5150 0.69431 0.704 0.128 0.004 0.164 0.000
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 5 0.8327 0.02003 0.140 0.276 0.000 0.240 0.344
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 4 0.4771 0.18583 0.052 0.180 0.004 0.748 0.016
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 2 0.4689 0.50163 0.000 0.560 0.000 0.424 0.016
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 2 0.4383 0.50710 0.000 0.572 0.004 0.424 0.000
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.5018 0.69948 0.716 0.116 0.004 0.164 0.000
#> E15EAAB4-0860-4716-9922-667F604CDF12 1 0.5098 0.66932 0.716 0.092 0.012 0.180 0.000
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 2 0.4645 0.33517 0.004 0.752 0.004 0.168 0.072
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 1 0.3845 0.62537 0.768 0.000 0.024 0.208 0.000
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 1 0.7998 0.53564 0.488 0.116 0.128 0.248 0.020
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.0798 0.71151 0.976 0.000 0.008 0.016 0.000
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 2 0.5880 0.43394 0.000 0.484 0.000 0.416 0.100
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 2 0.4192 0.51815 0.000 0.596 0.000 0.404 0.000
#> E2A4C651-977F-4F40-B5EC-46DF75944141 1 0.6067 0.66280 0.612 0.132 0.016 0.240 0.000
#> 433599CC-9DF5-4494-A607-8079FFE74D95 4 0.3706 0.07396 0.004 0.236 0.000 0.756 0.004
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 4 0.6763 -0.31060 0.000 0.364 0.004 0.412 0.220
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 5 0.0324 0.81809 0.000 0.004 0.000 0.004 0.992
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.0693 0.71206 0.980 0.000 0.008 0.012 0.000
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 4 0.5060 0.31483 0.292 0.020 0.016 0.664 0.008
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 1 0.5472 0.69191 0.676 0.128 0.008 0.188 0.000
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.1478 0.71310 0.000 0.000 0.936 0.000 0.064
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 5 0.0324 0.81809 0.000 0.004 0.000 0.004 0.992
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 5 0.0162 0.81806 0.000 0.004 0.000 0.000 0.996
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.4590 0.50759 0.000 0.568 0.000 0.420 0.012
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 4 0.5719 0.22546 0.092 0.216 0.020 0.668 0.004
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.4597 0.50267 0.000 0.564 0.000 0.424 0.012
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.5195 0.69356 0.708 0.128 0.008 0.156 0.000
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 5 0.0162 0.81806 0.000 0.004 0.000 0.000 0.996
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.0865 0.72005 0.972 0.000 0.004 0.024 0.000
#> 057B580C-13FD-4185-943C-9DD5266B8554 1 0.6164 0.36712 0.496 0.120 0.000 0.380 0.004
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 1 0.4991 0.68746 0.724 0.092 0.004 0.176 0.004
#> 287F3696-25CF-4E67-A934-E50856AD4790 5 0.6625 0.15720 0.000 0.276 0.000 0.268 0.456
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.3424 0.54228 0.000 0.760 0.000 0.240 0.000
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 4 0.6402 -0.21560 0.320 0.168 0.004 0.508 0.000
#> B80A74AB-A264-4396-93F8-FD976DBC1456 5 0.0162 0.81806 0.000 0.004 0.000 0.000 0.996
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.4440 0.47845 0.000 0.528 0.004 0.468 0.000
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.0794 0.72176 0.972 0.000 0.000 0.028 0.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.1597 0.71532 0.940 0.000 0.012 0.048 0.000
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 4 0.6854 -0.05266 0.232 0.304 0.004 0.456 0.004
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 5 0.0324 0.81713 0.000 0.004 0.000 0.004 0.992
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.0162 0.51682 0.000 0.996 0.004 0.000 0.000
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.5076 0.69360 0.712 0.128 0.004 0.156 0.000
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 4 0.5234 -0.01706 0.436 0.036 0.004 0.524 0.000
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.5951 0.43741 0.000 0.480 0.004 0.424 0.092
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.4915 0.70680 0.724 0.104 0.004 0.168 0.000
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.0566 0.51675 0.000 0.984 0.004 0.012 0.000
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 4 0.6504 -0.12585 0.000 0.168 0.004 0.460 0.368
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 4 0.4818 0.18891 0.096 0.152 0.004 0.744 0.004
#> DD292494-92A2-43CB-B59B-726B2F429B29 4 0.6573 -0.09227 0.192 0.328 0.004 0.476 0.000
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.5644 0.69496 0.660 0.108 0.008 0.220 0.004
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 4 0.6980 -0.16733 0.336 0.184 0.016 0.460 0.004
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 4 0.6056 0.09739 0.132 0.180 0.004 0.656 0.028
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 2 0.6455 0.35150 0.044 0.604 0.008 0.260 0.084
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 1 0.0898 0.71885 0.972 0.000 0.008 0.020 0.000
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.6815 0.29217 0.536 0.100 0.320 0.020 0.024
#> 74CF740D-201D-4070-99B9-F007E7C4D472 1 0.7350 0.59467 0.524 0.144 0.076 0.252 0.004
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 2 0.3142 0.44319 0.000 0.856 0.004 0.032 0.108
#> 78F28873-E471-497A-9405-FB8955808599 5 0.2830 0.74617 0.000 0.080 0.000 0.044 0.876
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.4876 0.49799 0.000 0.544 0.008 0.436 0.012
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.4210 0.51440 0.000 0.588 0.000 0.412 0.000
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 2 0.6125 -0.06288 0.112 0.480 0.004 0.404 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.0405 0.76536 0.000 0.004 0.988 0.000 0.008 0.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.2482 0.69150 0.848 0.004 0.000 0.000 0.000 0.148
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 6 0.6053 0.35870 0.272 0.000 0.000 0.320 0.000 0.408
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.0146 0.67789 0.996 0.000 0.000 0.000 0.000 0.004
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.3050 0.62970 0.764 0.000 0.000 0.000 0.000 0.236
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.3838 0.34686 0.552 0.000 0.000 0.000 0.000 0.448
#> 966A3A03-3879-4816-A1E9-D805F6018836 4 0.2178 0.62332 0.000 0.132 0.000 0.868 0.000 0.000
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.2703 0.71437 0.000 0.824 0.000 0.172 0.000 0.004
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.3843 0.34135 0.548 0.000 0.000 0.000 0.000 0.452
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 6 0.6114 0.30845 0.236 0.004 0.000 0.348 0.000 0.412
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 6 0.5919 0.34813 0.152 0.012 0.000 0.360 0.000 0.476
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 4 0.4333 -0.04405 0.000 0.376 0.000 0.596 0.028 0.000
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.3823 0.36295 0.564 0.000 0.000 0.000 0.000 0.436
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 1 0.6054 -0.21824 0.404 0.000 0.000 0.268 0.000 0.328
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.3833 0.35328 0.556 0.000 0.000 0.000 0.000 0.444
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 5 0.0146 0.87564 0.000 0.004 0.000 0.000 0.996 0.000
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 4 0.4606 0.27365 0.000 0.268 0.000 0.656 0.000 0.076
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 4 0.5544 -0.33884 0.012 0.356 0.000 0.528 0.000 0.104
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.2300 0.68898 0.856 0.000 0.000 0.000 0.000 0.144
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.3428 0.54569 0.696 0.000 0.000 0.000 0.000 0.304
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 2 0.5492 0.41838 0.000 0.552 0.000 0.168 0.000 0.280
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 4 0.2165 0.62849 0.000 0.108 0.000 0.884 0.008 0.000
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 6 0.4361 0.37201 0.224 0.040 0.000 0.020 0.000 0.716
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 1 0.5241 0.60093 0.692 0.076 0.080 0.000 0.000 0.152
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 4 0.3861 0.52727 0.000 0.008 0.000 0.640 0.000 0.352
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 6 0.6031 0.38327 0.296 0.000 0.000 0.280 0.000 0.424
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.0000 0.67676 1.000 0.000 0.000 0.000 0.000 0.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 6 0.5788 0.40373 0.224 0.000 0.000 0.276 0.000 0.500
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.2118 0.73765 0.000 0.888 0.000 0.104 0.000 0.008
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 5 0.0000 0.87617 0.000 0.000 0.000 0.000 1.000 0.000
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 6 0.6245 -0.37912 0.004 0.320 0.000 0.320 0.000 0.356
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 4 0.3409 0.53440 0.000 0.300 0.000 0.700 0.000 0.000
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.0000 0.67676 1.000 0.000 0.000 0.000 0.000 0.000
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 4 0.0790 0.63297 0.000 0.032 0.000 0.968 0.000 0.000
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 4 0.4476 0.51781 0.044 0.008 0.000 0.668 0.000 0.280
#> BE56F908-42DD-4019-A8AC-48884DA788B1 4 0.3766 0.56163 0.000 0.012 0.000 0.684 0.000 0.304
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 2 0.5337 0.64782 0.000 0.560 0.000 0.356 0.032 0.052
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 4 0.5242 0.25230 0.096 0.000 0.000 0.492 0.000 0.412
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 1 0.4926 0.47092 0.584 0.080 0.000 0.000 0.000 0.336
#> 791D9EB8-42E0-4192-B064-B1126CA14481 2 0.3394 0.74779 0.000 0.804 0.000 0.144 0.000 0.052
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 4 0.2389 0.62423 0.000 0.128 0.000 0.864 0.008 0.000
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 4 0.2092 0.62385 0.000 0.124 0.000 0.876 0.000 0.000
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.3828 0.35675 0.560 0.000 0.000 0.000 0.000 0.440
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.0260 0.67855 0.992 0.000 0.000 0.000 0.000 0.008
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 3 0.0508 0.76522 0.000 0.012 0.984 0.000 0.000 0.004
#> D47C7B74-BB01-4614-B683-652F7130729C 4 0.2312 0.63007 0.000 0.112 0.000 0.876 0.012 0.000
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 6 0.6623 0.17890 0.064 0.184 0.000 0.260 0.000 0.492
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 4 0.4601 0.55462 0.000 0.112 0.000 0.688 0.000 0.200
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.0000 0.67676 1.000 0.000 0.000 0.000 0.000 0.000
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 4 0.2631 0.61277 0.000 0.180 0.000 0.820 0.000 0.000
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.0000 0.67676 1.000 0.000 0.000 0.000 0.000 0.000
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 6 0.5885 0.02901 0.128 0.016 0.000 0.404 0.000 0.452
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 2 0.3023 0.67717 0.000 0.784 0.000 0.212 0.000 0.004
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 5 0.3907 0.59215 0.000 0.028 0.000 0.268 0.704 0.000
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 3 0.7118 0.22256 0.252 0.076 0.352 0.000 0.000 0.320
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 4 0.6017 -0.13768 0.268 0.000 0.000 0.428 0.000 0.304
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#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 6 0.6139 0.29814 0.136 0.040 0.000 0.300 0.000 0.524
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 4 0.2573 0.64329 0.000 0.024 0.000 0.864 0.000 0.112
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 4 0.5356 -0.31652 0.000 0.332 0.000 0.560 0.008 0.100
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 1 0.0858 0.67884 0.968 0.004 0.000 0.000 0.000 0.028
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.6670 0.30865 0.492 0.084 0.276 0.000 0.000 0.148
#> 74CF740D-201D-4070-99B9-F007E7C4D472 6 0.5144 0.18374 0.212 0.076 0.032 0.004 0.000 0.676
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 2 0.5092 0.67817 0.000 0.604 0.000 0.320 0.024 0.052
#> 78F28873-E471-497A-9405-FB8955808599 5 0.3575 0.60540 0.000 0.008 0.000 0.284 0.708 0.000
#> 29294D9A-434B-4581-9591-63D16107C7B1 4 0.2482 0.61967 0.000 0.148 0.000 0.848 0.004 0.000
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 4 0.3409 0.53440 0.000 0.300 0.000 0.700 0.000 0.000
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 4 0.5718 0.10378 0.000 0.284 0.000 0.512 0.000 0.204
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["SD", "NMF"]
# you can also extract it by
# res = res_list["SD:NMF"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#> On a matrix with 17397 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 0.769 0.881 0.951 0.4684 0.536 0.536
#> 3 3 0.858 0.882 0.952 0.3159 0.683 0.488
#> 4 4 0.513 0.525 0.746 0.1794 0.760 0.464
#> 5 5 0.730 0.696 0.864 0.0822 0.813 0.441
#> 6 6 0.725 0.611 0.776 0.0484 0.900 0.589
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
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 2 0.0000 0.94777 0.000 1.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.0000 0.94492 1.000 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 1 0.0000 0.94492 1.000 0.000
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.0000 0.94492 1.000 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.0000 0.94492 1.000 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.0000 0.94492 1.000 0.000
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.0000 0.94777 0.000 1.000
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.6712 0.77452 0.176 0.824
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.0000 0.94492 1.000 0.000
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 1 0.0000 0.94492 1.000 0.000
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 1 0.0000 0.94492 1.000 0.000
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 2 0.0000 0.94777 0.000 1.000
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.0000 0.94492 1.000 0.000
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 1 0.0000 0.94492 1.000 0.000
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.0000 0.94492 1.000 0.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 2 0.0000 0.94777 0.000 1.000
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 1 0.0672 0.93921 0.992 0.008
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 1 0.0000 0.94492 1.000 0.000
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.0000 0.94492 1.000 0.000
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.0000 0.94492 1.000 0.000
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 1 0.1184 0.93326 0.984 0.016
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 2 0.0000 0.94777 0.000 1.000
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 1 0.0000 0.94492 1.000 0.000
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 1 0.0000 0.94492 1.000 0.000
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 1 0.0000 0.94492 1.000 0.000
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 1 0.0000 0.94492 1.000 0.000
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.0000 0.94492 1.000 0.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 1 0.0000 0.94492 1.000 0.000
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.1414 0.93336 0.020 0.980
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 2 0.0000 0.94777 0.000 1.000
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 1 0.0000 0.94492 1.000 0.000
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.0000 0.94777 0.000 1.000
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.0000 0.94492 1.000 0.000
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 2 0.0000 0.94777 0.000 1.000
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 1 0.0000 0.94492 1.000 0.000
#> BE56F908-42DD-4019-A8AC-48884DA788B1 1 0.0000 0.94492 1.000 0.000
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 2 0.0000 0.94777 0.000 1.000
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 1 0.0000 0.94492 1.000 0.000
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 1 0.7299 0.72145 0.796 0.204
#> 791D9EB8-42E0-4192-B064-B1126CA14481 1 0.8608 0.61704 0.716 0.284
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 2 0.0000 0.94777 0.000 1.000
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 2 0.0000 0.94777 0.000 1.000
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.0000 0.94492 1.000 0.000
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.0000 0.94492 1.000 0.000
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 2 0.0000 0.94777 0.000 1.000
#> D47C7B74-BB01-4614-B683-652F7130729C 2 0.0000 0.94777 0.000 1.000
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 1 0.0000 0.94492 1.000 0.000
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 1 0.4161 0.87602 0.916 0.084
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.0000 0.94492 1.000 0.000
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.0000 0.94777 0.000 1.000
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.0000 0.94492 1.000 0.000
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 1 0.0000 0.94492 1.000 0.000
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 2 0.7299 0.73641 0.204 0.796
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 2 0.0000 0.94777 0.000 1.000
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 1 0.0000 0.94492 1.000 0.000
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 1 0.0000 0.94492 1.000 0.000
#> 58F11B66-AE40-417E-B465-811C6CF7311C 1 0.0000 0.94492 1.000 0.000
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.0000 0.94492 1.000 0.000
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 2 0.7453 0.71990 0.212 0.788
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 2 0.9491 0.41303 0.368 0.632
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 2 0.0000 0.94777 0.000 1.000
#> 739952C6-FF36-4E34-B881-E02FE17C4012 1 0.0000 0.94492 1.000 0.000
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 1 0.0000 0.94492 1.000 0.000
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 2 0.0000 0.94777 0.000 1.000
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 1 0.0000 0.94492 1.000 0.000
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 1 0.0000 0.94492 1.000 0.000
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 1 0.0000 0.94492 1.000 0.000
#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 1 0.0000 0.94492 1.000 0.000
#> F6B26185-139B-47A7-91EC-E885D94AC882 1 0.0000 0.94492 1.000 0.000
#> 81F30B6F-3E9A-4913-986B-C56D5F107A17 1 0.9686 0.37540 0.604 0.396
#> 2CCB3AE1-0D27-4493-B7AE-67C60BBC1C38 2 0.0000 0.94777 0.000 1.000
#> 329665BC-B959-47C5-B831-5546F94EDAC1 1 0.7453 0.72946 0.788 0.212
#> 8D4335F6-6ACB-4E38-B9F2-A2B5B647AE90 1 0.0000 0.94492 1.000 0.000
#> D181D0D8-FD8C-4259-9B34-97224CF27E1B 1 0.9460 0.45459 0.636 0.364
#> C0C10950-ABC5-4125-A33E-5AFA2D2574B0 2 0.0000 0.94777 0.000 1.000
#> 834D12DB-0925-422C-B15B-20A60A5F658C 1 0.9686 0.37540 0.604 0.396
#> 50314689-519F-4B27-884C-7816DD64CF4E 1 0.0000 0.94492 1.000 0.000
#> 2502A23E-E168-4A78-9C14-B93FBC9715B1 1 0.0000 0.94492 1.000 0.000
#> 3F8D01A3-5449-48A1-BDBA-BFE4D908AE31 1 0.8763 0.59773 0.704 0.296
#> 1C47A87B-C033-4705-B903-DB33B8C6EC34 1 0.0000 0.94492 1.000 0.000
#> 1329E1C1-743E-4541-9081-165572D4BF47 1 0.0000 0.94492 1.000 0.000
#> 1F3F8680-EEB6-4532-B81D-51957D1EA502 1 0.0000 0.94492 1.000 0.000
#> 50F69785-8B7A-4933-85B1-8DC539ACC72A 1 0.0000 0.94492 1.000 0.000
#> 9095FDD8-EEB2-4B17-85AB-3CDAC0BEC759 1 0.0000 0.94492 1.000 0.000
#> B6BF8C22-03E4-44F0-B2EF-2A3DD6ADE7D7 1 0.0000 0.94492 1.000 0.000
#> D6A907FC-3A1B-4E3B-A440-1CE9BE9B334B 2 0.0000 0.94777 0.000 1.000
#> 02588D5D-89CB-4D0B-9E96-A0270C3FF866 2 0.9710 0.32373 0.400 0.600
#> D50BBFC7-7774-4B12-938C-8D5373C12DFC 2 0.0000 0.94777 0.000 1.000
#> 6E930060-502B-49F5-A385-9B91DEBD05E4 1 0.0000 0.94492 1.000 0.000
#> F6606A8E-ACC6-4826-9547-E0017521724D 1 0.0000 0.94492 1.000 0.000
#> 981584D3-10DB-455C-8132-E8E5F44E1222 2 0.7299 0.73661 0.204 0.796
#> 47F6E197-7164-4289-95B5-8FD305A13B4C 1 0.0000 0.94492 1.000 0.000
#> 4522D871-9379-4643-B15E-9ACB556276C4 1 0.4690 0.85390 0.900 0.100
#> 7560B2B5-6AF5-4600-9F0A-BE25CF99B6B9 1 0.0000 0.94492 1.000 0.000
#> 38F5957E-0A99-432D-8F0B-B48E03F17668 1 0.0000 0.94492 1.000 0.000
#> 7A6BBBE6-2B3B-44EB-A101-C823739AB24F 2 0.8763 0.57882 0.296 0.704
#> 0782D25A-3B14-499E-A40C-3852B3A15B8B 1 0.4815 0.85681 0.896 0.104
#> 31D4B639-D1E5-479B-AEC2-34F758F2E470 1 0.0000 0.94492 1.000 0.000
#> C49078E1-E730-4E81-8EAE-5AAAB9FA1BF5 2 0.0000 0.94777 0.000 1.000
#> 48BCD3B8-917F-4E8F-BCEA-1363570A6486 1 0.0000 0.94492 1.000 0.000
#> F3BA6259-9F68-47D0-ABDD-1272AE112CAB 2 0.4939 0.85395 0.108 0.892
#> 3CA49BB1-30F6-47F3-A751-D5601E16BDBA 1 0.9686 0.37537 0.604 0.396
#> 47747595-686A-46B5-9EF4-A4CFB85D746D 2 0.7815 0.69682 0.232 0.768
#> 87974EFF-C2DE-4930-93E3-015E6D996440 2 0.0000 0.94777 0.000 1.000
#> 7D272E6C-826D-4D02-8383-6A3D5BBF3A5F 2 0.0000 0.94777 0.000 1.000
#> 070E540B-34DB-4016-B573-84924407F57F 1 0.0000 0.94492 1.000 0.000
#> 63F4281A-4D90-4589-879E-549097FB3459 1 0.0000 0.94492 1.000 0.000
#> 93A66EA0-0C74-4342-8140-72ECB01F99A1 1 0.0000 0.94492 1.000 0.000
#> C92AD683-FD09-4DD2-A5A5-C72EA5DD9B46 1 0.0000 0.94492 1.000 0.000
#> 38D2BE9E-15D4-47BC-8FEB-55310F23825B 1 0.0000 0.94492 1.000 0.000
#> B3029936-1EEF-4378-AA28-D5B2A32CDC86 1 0.0000 0.94492 1.000 0.000
#> 9A33172F-AEEA-4B7D-9605-0C60D7872CEA 1 0.0000 0.94492 1.000 0.000
#> F2BC32E5-4117-468E-B637-9EDB6E9CC6C7 1 0.0000 0.94492 1.000 0.000
#> EC319D0D-96C5-49DB-A2C4-BB6BFED6844F 1 0.0000 0.94492 1.000 0.000
#> 8CB71499-1B35-417D-95E1-D85CE71A2D8A 1 0.0000 0.94492 1.000 0.000
#> C5986AA8-D1C7-47BB-946F-1AE00503A444 1 0.8443 0.63768 0.728 0.272
#> CDB44ECD-3F01-4865-B4CC-5190E0FB64DC 1 0.0000 0.94492 1.000 0.000
#> 57633DCE-DC21-42AE-82EB-81F532CE9840 2 0.0000 0.94777 0.000 1.000
#> 715C1406-D224-466D-968E-46889824CD3D 1 0.0000 0.94492 1.000 0.000
#> 86A9A426-4B69-4572-9AFF-103C2724E5EA 1 0.0000 0.94492 1.000 0.000
#> A73A2348-FC50-42A5-ADF0-6647E5ECF0EA 1 0.0000 0.94492 1.000 0.000
#> 4BF75CF9-DA61-4A0B-940C-B09C7FE864F0 1 0.0000 0.94492 1.000 0.000
#> E3D18696-51D7-4BE3-A32B-3196E5F80438 1 0.0000 0.94492 1.000 0.000
#> C4C7C112-555F-46D5-8D5D-411C7737A4C9 2 0.5294 0.83667 0.120 0.880
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#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.0000 0.94777 0.000 1.000
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 1 0.0000 0.94492 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.0000 0.9283 0.000 0.000 1.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.0000 0.9589 1.000 0.000 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 1 0.0000 0.9589 1.000 0.000 0.000
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.0000 0.9589 1.000 0.000 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.0000 0.9589 1.000 0.000 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.0000 0.9589 1.000 0.000 0.000
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.0000 0.9342 0.000 1.000 0.000
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.0000 0.9342 0.000 1.000 0.000
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.0000 0.9589 1.000 0.000 0.000
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 1 0.0000 0.9589 1.000 0.000 0.000
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 2 0.6045 0.3760 0.380 0.620 0.000
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 2 0.0424 0.9289 0.000 0.992 0.008
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.0000 0.9589 1.000 0.000 0.000
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 1 0.0000 0.9589 1.000 0.000 0.000
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.0000 0.9589 1.000 0.000 0.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 3 0.0000 0.9283 0.000 0.000 1.000
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 2 0.0000 0.9342 0.000 1.000 0.000
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 2 0.1643 0.8931 0.044 0.956 0.000
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.0000 0.9589 1.000 0.000 0.000
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.0000 0.9589 1.000 0.000 0.000
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 2 0.4555 0.7059 0.200 0.800 0.000
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 2 0.4235 0.7708 0.000 0.824 0.176
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 1 0.0000 0.9589 1.000 0.000 0.000
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 1 0.0000 0.9589 1.000 0.000 0.000
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 2 0.4235 0.7383 0.176 0.824 0.000
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 1 0.0000 0.9589 1.000 0.000 0.000
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.0000 0.9589 1.000 0.000 0.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 1 0.0000 0.9589 1.000 0.000 0.000
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.0000 0.9342 0.000 1.000 0.000
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 3 0.0000 0.9283 0.000 0.000 1.000
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 2 0.5560 0.5469 0.300 0.700 0.000
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.0000 0.9342 0.000 1.000 0.000
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.0000 0.9589 1.000 0.000 0.000
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 2 0.0000 0.9342 0.000 1.000 0.000
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 2 0.5431 0.5868 0.284 0.716 0.000
#> BE56F908-42DD-4019-A8AC-48884DA788B1 2 0.5291 0.6079 0.268 0.732 0.000
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 2 0.0000 0.9342 0.000 1.000 0.000
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 1 0.0000 0.9589 1.000 0.000 0.000
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 3 0.6305 0.1112 0.484 0.000 0.516
#> 791D9EB8-42E0-4192-B064-B1126CA14481 2 0.0000 0.9342 0.000 1.000 0.000
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 2 0.0237 0.9316 0.000 0.996 0.004
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 2 0.0000 0.9342 0.000 1.000 0.000
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.0000 0.9589 1.000 0.000 0.000
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.0000 0.9589 1.000 0.000 0.000
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 3 0.0000 0.9283 0.000 0.000 1.000
#> D47C7B74-BB01-4614-B683-652F7130729C 2 0.5327 0.6421 0.000 0.728 0.272
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 1 0.4555 0.7276 0.800 0.200 0.000
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 2 0.0000 0.9342 0.000 1.000 0.000
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.0000 0.9589 1.000 0.000 0.000
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.0000 0.9342 0.000 1.000 0.000
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.0000 0.9589 1.000 0.000 0.000
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 1 0.6062 0.3995 0.616 0.384 0.000
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 2 0.0000 0.9342 0.000 1.000 0.000
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 2 0.4750 0.7202 0.000 0.784 0.216
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 1 0.5216 0.6188 0.740 0.000 0.260
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 1 0.0000 0.9589 1.000 0.000 0.000
#> 58F11B66-AE40-417E-B465-811C6CF7311C 1 0.0424 0.9521 0.992 0.008 0.000
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.0000 0.9589 1.000 0.000 0.000
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 2 0.5291 0.6075 0.268 0.732 0.000
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 2 0.0000 0.9342 0.000 1.000 0.000
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 2 0.0000 0.9342 0.000 1.000 0.000
#> 739952C6-FF36-4E34-B881-E02FE17C4012 1 0.0000 0.9589 1.000 0.000 0.000
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 1 0.0000 0.9589 1.000 0.000 0.000
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 2 0.0000 0.9342 0.000 1.000 0.000
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 1 0.0000 0.9589 1.000 0.000 0.000
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 1 0.0000 0.9589 1.000 0.000 0.000
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 1 0.0000 0.9589 1.000 0.000 0.000
#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 1 0.0000 0.9589 1.000 0.000 0.000
#> F6B26185-139B-47A7-91EC-E885D94AC882 1 0.2165 0.8956 0.936 0.064 0.000
#> 81F30B6F-3E9A-4913-986B-C56D5F107A17 2 0.0000 0.9342 0.000 1.000 0.000
#> 2CCB3AE1-0D27-4493-B7AE-67C60BBC1C38 2 0.6302 0.1340 0.000 0.520 0.480
#> 329665BC-B959-47C5-B831-5546F94EDAC1 2 0.0237 0.9309 0.004 0.996 0.000
#> 8D4335F6-6ACB-4E38-B9F2-A2B5B647AE90 1 0.0000 0.9589 1.000 0.000 0.000
#> D181D0D8-FD8C-4259-9B34-97224CF27E1B 2 0.0000 0.9342 0.000 1.000 0.000
#> C0C10950-ABC5-4125-A33E-5AFA2D2574B0 2 0.0000 0.9342 0.000 1.000 0.000
#> 834D12DB-0925-422C-B15B-20A60A5F658C 2 0.0000 0.9342 0.000 1.000 0.000
#> 50314689-519F-4B27-884C-7816DD64CF4E 1 0.0000 0.9589 1.000 0.000 0.000
#> 2502A23E-E168-4A78-9C14-B93FBC9715B1 1 0.0000 0.9589 1.000 0.000 0.000
#> 3F8D01A3-5449-48A1-BDBA-BFE4D908AE31 2 0.5598 0.7545 0.052 0.800 0.148
#> 1C47A87B-C033-4705-B903-DB33B8C6EC34 1 0.1411 0.9260 0.964 0.036 0.000
#> 1329E1C1-743E-4541-9081-165572D4BF47 2 0.0000 0.9342 0.000 1.000 0.000
#> 1F3F8680-EEB6-4532-B81D-51957D1EA502 1 0.0000 0.9589 1.000 0.000 0.000
#> 50F69785-8B7A-4933-85B1-8DC539ACC72A 1 0.0000 0.9589 1.000 0.000 0.000
#> 9095FDD8-EEB2-4B17-85AB-3CDAC0BEC759 1 0.0000 0.9589 1.000 0.000 0.000
#> B6BF8C22-03E4-44F0-B2EF-2A3DD6ADE7D7 1 0.0000 0.9589 1.000 0.000 0.000
#> D6A907FC-3A1B-4E3B-A440-1CE9BE9B334B 2 0.0000 0.9342 0.000 1.000 0.000
#> 02588D5D-89CB-4D0B-9E96-A0270C3FF866 2 0.0000 0.9342 0.000 1.000 0.000
#> D50BBFC7-7774-4B12-938C-8D5373C12DFC 2 0.0000 0.9342 0.000 1.000 0.000
#> 6E930060-502B-49F5-A385-9B91DEBD05E4 1 0.0000 0.9589 1.000 0.000 0.000
#> F6606A8E-ACC6-4826-9547-E0017521724D 1 0.4452 0.7337 0.808 0.192 0.000
#> 981584D3-10DB-455C-8132-E8E5F44E1222 2 0.0000 0.9342 0.000 1.000 0.000
#> 47F6E197-7164-4289-95B5-8FD305A13B4C 1 0.0000 0.9589 1.000 0.000 0.000
#> 4522D871-9379-4643-B15E-9ACB556276C4 1 0.6079 0.3215 0.612 0.000 0.388
#> 7560B2B5-6AF5-4600-9F0A-BE25CF99B6B9 1 0.0000 0.9589 1.000 0.000 0.000
#> 38F5957E-0A99-432D-8F0B-B48E03F17668 1 0.0000 0.9589 1.000 0.000 0.000
#> 7A6BBBE6-2B3B-44EB-A101-C823739AB24F 2 0.0000 0.9342 0.000 1.000 0.000
#> 0782D25A-3B14-499E-A40C-3852B3A15B8B 2 0.0000 0.9342 0.000 1.000 0.000
#> 31D4B639-D1E5-479B-AEC2-34F758F2E470 1 0.0000 0.9589 1.000 0.000 0.000
#> C49078E1-E730-4E81-8EAE-5AAAB9FA1BF5 3 0.0000 0.9283 0.000 0.000 1.000
#> 48BCD3B8-917F-4E8F-BCEA-1363570A6486 2 0.0000 0.9342 0.000 1.000 0.000
#> F3BA6259-9F68-47D0-ABDD-1272AE112CAB 2 0.0000 0.9342 0.000 1.000 0.000
#> 3CA49BB1-30F6-47F3-A751-D5601E16BDBA 2 0.0000 0.9342 0.000 1.000 0.000
#> 47747595-686A-46B5-9EF4-A4CFB85D746D 3 0.4235 0.7651 0.176 0.000 0.824
#> 87974EFF-C2DE-4930-93E3-015E6D996440 2 0.6204 0.2897 0.000 0.576 0.424
#> 7D272E6C-826D-4D02-8383-6A3D5BBF3A5F 3 0.0000 0.9283 0.000 0.000 1.000
#> 070E540B-34DB-4016-B573-84924407F57F 1 0.0000 0.9589 1.000 0.000 0.000
#> 63F4281A-4D90-4589-879E-549097FB3459 1 0.0000 0.9589 1.000 0.000 0.000
#> 93A66EA0-0C74-4342-8140-72ECB01F99A1 1 0.0000 0.9589 1.000 0.000 0.000
#> C92AD683-FD09-4DD2-A5A5-C72EA5DD9B46 1 0.6140 0.3462 0.596 0.404 0.000
#> 38D2BE9E-15D4-47BC-8FEB-55310F23825B 2 0.0000 0.9342 0.000 1.000 0.000
#> B3029936-1EEF-4378-AA28-D5B2A32CDC86 1 0.1163 0.9332 0.972 0.028 0.000
#> 9A33172F-AEEA-4B7D-9605-0C60D7872CEA 1 0.0000 0.9589 1.000 0.000 0.000
#> F2BC32E5-4117-468E-B637-9EDB6E9CC6C7 1 0.3816 0.8002 0.852 0.000 0.148
#> EC319D0D-96C5-49DB-A2C4-BB6BFED6844F 1 0.0000 0.9589 1.000 0.000 0.000
#> 8CB71499-1B35-417D-95E1-D85CE71A2D8A 1 0.0000 0.9589 1.000 0.000 0.000
#> C5986AA8-D1C7-47BB-946F-1AE00503A444 2 0.0000 0.9342 0.000 1.000 0.000
#> CDB44ECD-3F01-4865-B4CC-5190E0FB64DC 1 0.2261 0.8922 0.932 0.068 0.000
#> 57633DCE-DC21-42AE-82EB-81F532CE9840 2 0.0424 0.9289 0.000 0.992 0.008
#> 715C1406-D224-466D-968E-46889824CD3D 2 0.4399 0.7170 0.188 0.812 0.000
#> 86A9A426-4B69-4572-9AFF-103C2724E5EA 1 0.0000 0.9589 1.000 0.000 0.000
#> A73A2348-FC50-42A5-ADF0-6647E5ECF0EA 1 0.0000 0.9589 1.000 0.000 0.000
#> 4BF75CF9-DA61-4A0B-940C-B09C7FE864F0 1 0.0000 0.9589 1.000 0.000 0.000
#> E3D18696-51D7-4BE3-A32B-3196E5F80438 1 0.0000 0.9589 1.000 0.000 0.000
#> C4C7C112-555F-46D5-8D5D-411C7737A4C9 3 0.3619 0.8119 0.136 0.000 0.864
#> 0A3E0A3D-D396-4340-8D98-4B79DBFC312C 2 0.0000 0.9342 0.000 1.000 0.000
#> 5513114D-2503-4D11-ADA4-35BE010510E5 1 0.1529 0.9232 0.960 0.000 0.040
#> EDDCFDBA-B3E7-4E3F-97CB-D017C9DC9EF7 1 0.0000 0.9589 1.000 0.000 0.000
#> 7046C2F2-A8DE-4AE1-B27D-094CF2EF3B3D 2 0.0000 0.9342 0.000 1.000 0.000
#> 6869ABAF-343B-4C9B-8975-B26A2C895123 2 0.5948 0.4239 0.360 0.640 0.000
#> EC0B4E94-0FD0-4DBE-8E1A-14DBB0E63772 3 0.4002 0.7699 0.000 0.160 0.840
#> 245967F0-EE1A-4B0C-BEE2-0283393DA722 1 0.0000 0.9589 1.000 0.000 0.000
#> 9E5162FF-4316-42B2-882F-9CDBE2193686 2 0.0000 0.9342 0.000 1.000 0.000
#> 64FCCF76-C73F-401D-974A-BBB4F1CBC8A0 2 0.4654 0.7304 0.000 0.792 0.208
#> 20152BF5-FA56-4B98-8F20-FFEE20F8B1CB 1 0.0000 0.9589 1.000 0.000 0.000
#> 1576BB97-F8EA-48FF-9494-EBC7A0C97312 2 0.0000 0.9342 0.000 1.000 0.000
#> 4405F995-AE79-46F9-BFEE-81CAECF42BAE 1 0.0000 0.9589 1.000 0.000 0.000
#> 681D8638-84E1-43B9-93A9-3189560D8611 1 0.0000 0.9589 1.000 0.000 0.000
#> 49B8F49B-1C21-4145-BCDC-403B3D37CCD5 1 0.0000 0.9589 1.000 0.000 0.000
#> C11294C4-9285-4BC2-B0F6-98054A63CF50 1 0.0000 0.9589 1.000 0.000 0.000
#> 688EFD86-95DA-4442-87F0-DBF9E6B549FD 3 0.0000 0.9283 0.000 0.000 1.000
#> F23B0A1A-25AE-41D9-8C49-B692C4FDE1E4 1 0.0000 0.9589 1.000 0.000 0.000
#> 1809618E-A051-4758-BC59-B04E23FB3A42 2 0.0000 0.9342 0.000 1.000 0.000
#> 9DD73399-620E-472C-8360-5565F91BBD3A 1 0.0000 0.9589 1.000 0.000 0.000
#> E85AE97F-43CF-4250-B2BF-63E6FA8044E8 2 0.1289 0.9052 0.032 0.968 0.000
#> D4E58BFB-9859-4D77-A581-1D713AA54B0B 3 0.6235 0.2662 0.436 0.000 0.564
#> 57CDEE2D-9B87-40D7-8DDA-17B7000F6965 2 0.0000 0.9342 0.000 1.000 0.000
#> 412F9B5E-324D-40CC-A8F3-FA9C1FCC83C0 1 0.0000 0.9589 1.000 0.000 0.000
#> 668765BB-DEC9-4746-B932-C8CE643B6564 2 0.0000 0.9342 0.000 1.000 0.000
#> 80379304-DD5D-49A3-8DE7-376FD06AEE17 2 0.0000 0.9342 0.000 1.000 0.000
#> BB657D53-8FE7-46AA-918E-8BE6EB5B70AD 1 0.0000 0.9589 1.000 0.000 0.000
#> 5ACFF57E-8B40-4A68-98B9-1F80D80B3F00 1 0.0000 0.9589 1.000 0.000 0.000
#> 74DDE13E-88AD-47C3-8824-5AE0C2B969D6 2 0.4504 0.7457 0.000 0.804 0.196
#> 19590D31-2415-4D46-8E50-494FC40BF639 2 0.0000 0.9342 0.000 1.000 0.000
#> 5E55B08E-C597-4DF7-8577-D8B15C404E59 2 0.6244 0.2484 0.440 0.560 0.000
#> 9061C1A3-8141-4780-B3F0-4D499B0556F3 1 0.4002 0.7805 0.840 0.160 0.000
#> FBE93EC7-CA18-41CE-8B85-50B4EC204278 1 0.0000 0.9589 1.000 0.000 0.000
#> E070D6ED-3B18-4D12-ABB4-2B62FF6033FC 1 0.0000 0.9589 1.000 0.000 0.000
#> 562291E5-AB47-4455-9C92-7904DAB14AB4 2 0.4178 0.7675 0.000 0.828 0.172
#> AE8BD116-5550-4A0F-BEBE-F092675A1F45 1 0.0000 0.9589 1.000 0.000 0.000
#> 94B73102-D49E-4CE8-9B49-7C109B3EC27C 3 0.0000 0.9283 0.000 0.000 1.000
#> AAC76EDF-5E5A-4D7E-8450-2B699A70EAA3 1 0.1411 0.9259 0.964 0.036 0.000
#> 0A1391EA-5B15-4D28-B6AE-2732FCA49897 1 0.0000 0.9589 1.000 0.000 0.000
#> F781C72C-3357-4038-AD89-5651FE3A1E20 1 0.0424 0.9521 0.992 0.008 0.000
#> 1E221CC6-319B-4B53-8836-80FDFC99FD72 1 0.0000 0.9589 1.000 0.000 0.000
#> 98E88BAB-4CE8-4A32-BBAC-7C6E711C4708 1 0.0000 0.9589 1.000 0.000 0.000
#> EE4AB031-AC4D-46A4-9334-CDDAA1C5C806 3 0.0424 0.9250 0.000 0.008 0.992
#> 8E56D859-7862-4CD3-A86C-8780C6387420 3 0.0424 0.9250 0.000 0.008 0.992
#> B2A0B149-3C97-4E86-B1B2-6D382EDED8E0 2 0.0000 0.9342 0.000 1.000 0.000
#> F006335D-4815-4E3A-9761-722302DA6930 1 0.0000 0.9589 1.000 0.000 0.000
#> F6527F1F-B7E3-4281-B97A-282C97B71C00 2 0.0000 0.9342 0.000 1.000 0.000
#> 39286936-7CC8-4045-9D84-8340D2A49CCA 1 0.0000 0.9589 1.000 0.000 0.000
#> 85EED4EA-7881-48BE-BC80-29FDCB3FACD0 2 0.0000 0.9342 0.000 1.000 0.000
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#> 1ACE6BB9-A332-42DD-BA4F-E9902DB413AA 2 0.0000 0.9342 0.000 1.000 0.000
#> E3C1D3D8-1C78-4C16-B0E5-56B5CCE3C6B4 1 0.0000 0.9589 1.000 0.000 0.000
#> 1B0FE71F-DD59-45F7-BA73-E8BEEB7349A8 1 0.0000 0.9589 1.000 0.000 0.000
#> 8756589A-8352-4CDA-9297-D4C146D1DF47 1 0.0000 0.9589 1.000 0.000 0.000
#> E013D176-4FCB-4DF5-93F0-72803590B677 3 0.0000 0.9283 0.000 0.000 1.000
#> D0CCA6E0-8557-491C-AB82-289DF53E57FA 1 0.0000 0.9589 1.000 0.000 0.000
#> 933DB910-2728-4DC4-840E-B0CD1F13A421 2 0.6286 0.1442 0.000 0.536 0.464
#> 93910528-D681-4C69-86FD-326293B2F1C1 2 0.7932 0.3028 0.064 0.552 0.384
#> 3C9FDA2A-01C8-4F17-BBF1-5CAEAE3764D4 1 0.0000 0.9589 1.000 0.000 0.000
#> 8879C57E-8876-462F-810E-EE07C2F541AD 2 0.4842 0.7087 0.000 0.776 0.224
#> 130C8FBD-8D78-4212-8DD6-301EDFA339A9 1 0.0237 0.9555 0.996 0.004 0.000
#> 6C1FF3E9-0A8B-4B02-B0E9-EEF333E53592 2 0.0000 0.9342 0.000 1.000 0.000
#> 726497B7-C557-4D5C-A926-6DDA6136C899 2 0.0000 0.9342 0.000 1.000 0.000
#> 2299CD19-BF08-404C-B1BF-B570F12CCEF8 2 0.0000 0.9342 0.000 1.000 0.000
#> E8BCBDC5-E34E-422F-86C2-A4B30400EC86 3 0.0000 0.9283 0.000 0.000 1.000
#> B9EF0525-8B4A-4306-B06B-35AC457F5F48 2 0.0000 0.9342 0.000 1.000 0.000
#> F663E106-4E34-46C8-9CD9-AE5E9B8B27F0 2 0.0000 0.9342 0.000 1.000 0.000
#> 94E26CD5-238B-4D8C-B8E8-A62C44EB2B41 2 0.4452 0.7171 0.192 0.808 0.000
#> 135743C3-829E-46DC-BBA9-FF07C8067612 1 0.0000 0.9589 1.000 0.000 0.000
#> CBD7775A-2802-4EB7-9F62-6B80D7667AED 1 0.0000 0.9589 1.000 0.000 0.000
#> BD6DAD3D-2D5F-4560-9A4C-70D8A1D49732 1 0.0000 0.9589 1.000 0.000 0.000
#> ED86F92E-6B39-4C0C-9A60-870984F53C4D 1 0.0000 0.9589 1.000 0.000 0.000
#> CD3B289F-FAE1-405F-875F-23C1D2609DFC 1 0.0592 0.9484 0.988 0.012 0.000
#> D1C0E70B-B2BB-4FE7-8DEC-B50659739BAA 2 0.0000 0.9342 0.000 1.000 0.000
#> D2417A9C-CBF0-47F6-B20C-FB32AF632A84 2 0.4062 0.7500 0.164 0.836 0.000
#> EF5618C6-6AFB-4FB5-A32B-7946F18E9736 1 0.0000 0.9589 1.000 0.000 0.000
#> 36040CAB-FF77-4540-BB44-7961A6A54B29 2 0.0000 0.9342 0.000 1.000 0.000
#> 3808C3A9-22DA-4DC5-9F51-884A7EF574E6 1 0.0000 0.9589 1.000 0.000 0.000
#> 24363857-9A33-40D4-8409-C17225570833 2 0.0000 0.9342 0.000 1.000 0.000
#> A57E6132-9B76-493A-A167-8462263B7CDB 1 0.4887 0.6857 0.772 0.228 0.000
#> 4C020890-E652-4DE4-B66D-5F6F71405F64 1 0.3482 0.8166 0.872 0.128 0.000
#> 90C991CD-412E-4318-96E3-EB84B868FE9F 2 0.0000 0.9342 0.000 1.000 0.000
#> FA8E73EA-649C-43ED-854E-B9472820D1C6 2 0.0000 0.9342 0.000 1.000 0.000
#> 4D46B5DE-186A-4D35-8E1B-64701C13BC69 3 0.0424 0.9250 0.000 0.008 0.992
#> D516A82D-2F77-46B2-90F7-30BA5C78AAC8 2 0.0000 0.9342 0.000 1.000 0.000
#> 1FBD0805-13AE-4A82-8B94-640E1C921262 3 0.0000 0.9283 0.000 0.000 1.000
#> 264525A9-F7DB-4012-A93B-CF8A7626F125 3 0.2959 0.8413 0.000 0.100 0.900
#> AFF029D8-FFC9-4AA9-8049-F1E27C743F6F 2 0.4842 0.7092 0.000 0.776 0.224
#> 5B65768D-0E81-4469-9D69-69B07ED5ACD5 2 0.0661 0.9275 0.004 0.988 0.008
#> 2CB06CA6-8D1F-4BC7-99BE-66921805B8FD 2 0.0000 0.9342 0.000 1.000 0.000
#> 956357FB-9AB3-497C-BB55-9D15B486A422 1 0.0000 0.9589 1.000 0.000 0.000
#> C8F2BAD0-7124-46BF-975C-4B44BE980F93 1 0.0000 0.9589 1.000 0.000 0.000
#> E96AE267-3E23-4EA9-93E2-D92558155A17 3 0.0000 0.9283 0.000 0.000 1.000
#> 1C8DCA5B-965B-485A-83B6-5CBEB2117E47 2 0.0000 0.9342 0.000 1.000 0.000
#> DEAB79F5-336A-49B4-8046-AEE2F567FE46 1 0.0000 0.9589 1.000 0.000 0.000
#> 767FE89E-E19F-4F56-A744-CB3C5CCC085B 2 0.0000 0.9342 0.000 1.000 0.000
#> 7B0BF632-79E5-46B5-AAC8-4A6D5A193449 3 0.0000 0.9283 0.000 0.000 1.000
#> 9A281EDE-FF96-4E66-AEF4-692BDFA8E99D 2 0.0000 0.9342 0.000 1.000 0.000
#> B8C2D019-00C9-4E1E-8383-4FE2FFB4D2D7 3 0.0000 0.9283 0.000 0.000 1.000
#> 39A9B95F-186B-4550-9271-001151B1A626 2 0.0000 0.9342 0.000 1.000 0.000
#> CAD6E491-88FB-4221-90E9-AC9C68AECCB0 1 0.0000 0.9589 1.000 0.000 0.000
#> 15EFBC5B-C713-4718-BB6F-0EBBE4D6997F 2 0.0000 0.9342 0.000 1.000 0.000
#> BBA00038-09B1-461D-9F8E-484890B0D130 1 0.0747 0.9447 0.984 0.016 0.000
#> 16EBB885-A692-42A6-9027-F6AD769E0ABB 1 0.0000 0.9589 1.000 0.000 0.000
#> 2D57E24B-97A6-4B85-BC8F-3E02DDC6C460 2 0.0000 0.9342 0.000 1.000 0.000
#> C6E39F86-9DEF-4BCA-930B-2A3993D18901 2 0.0000 0.9342 0.000 1.000 0.000
#> 5BE4D8E9-DA18-426F-8AE6-075B15010390 1 0.0000 0.9589 1.000 0.000 0.000
#> 8E9CAAC7-31D3-473C-821C-2DAD37B44D3A 2 0.0000 0.9342 0.000 1.000 0.000
#> 368CFCA3-7BAB-4D6D-9AE1-55713A9965C1 3 0.4504 0.7379 0.196 0.000 0.804
#> 14DB79EF-DE2B-4197-AD32-F657E0655FCD 2 0.0000 0.9342 0.000 1.000 0.000
#> E73BCFCB-C5FE-4BF2-A236-B9E69711C121 1 0.2066 0.9008 0.940 0.060 0.000
#> CDAFAFEA-365B-4F25-AEC0-639B6E0CB626 2 0.0000 0.9342 0.000 1.000 0.000
#> 48A2AAEB-7F60-4284-808E-2058A531B17C 2 0.0000 0.9342 0.000 1.000 0.000
#> D4276C6F-9F0F-4F74-A85E-1E54272ADDED 2 0.0000 0.9342 0.000 1.000 0.000
#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 2 0.0000 0.9342 0.000 1.000 0.000
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 2 0.0000 0.9342 0.000 1.000 0.000
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 3 0.0000 0.9283 0.000 0.000 1.000
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 1 0.0000 0.9589 1.000 0.000 0.000
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 3 0.1031 0.9121 0.024 0.000 0.976
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 1 0.0000 0.9589 1.000 0.000 0.000
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 1 0.0000 0.9589 1.000 0.000 0.000
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 1 0.1964 0.9058 0.944 0.056 0.000
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 1 0.6026 0.4161 0.624 0.376 0.000
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 2 0.0000 0.9342 0.000 1.000 0.000
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 2 0.0000 0.9342 0.000 1.000 0.000
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 1 0.0000 0.9589 1.000 0.000 0.000
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 2 0.0000 0.9342 0.000 1.000 0.000
#> C7997523-47CF-40F0-8803-AB873E38033C 2 0.0000 0.9342 0.000 1.000 0.000
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 2 0.0000 0.9342 0.000 1.000 0.000
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 3 0.0237 0.9268 0.000 0.004 0.996
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 3 0.6299 0.1399 0.476 0.000 0.524
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 1 0.0000 0.9589 1.000 0.000 0.000
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 2 0.0237 0.9316 0.000 0.996 0.004
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 2 0.0000 0.9342 0.000 1.000 0.000
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 3 0.0000 0.9283 0.000 0.000 1.000
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 2 0.0000 0.9342 0.000 1.000 0.000
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 1 0.0000 0.9589 1.000 0.000 0.000
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.0000 0.9589 1.000 0.000 0.000
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 1 0.0000 0.9589 1.000 0.000 0.000
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 1 0.0000 0.9589 1.000 0.000 0.000
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 3 0.0000 0.9283 0.000 0.000 1.000
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 1 0.9547 -0.0276 0.416 0.392 0.192
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 2 0.0000 0.9342 0.000 1.000 0.000
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 2 0.0000 0.9342 0.000 1.000 0.000
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.0000 0.9589 1.000 0.000 0.000
#> E15EAAB4-0860-4716-9922-667F604CDF12 1 0.0000 0.9589 1.000 0.000 0.000
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 2 0.2625 0.8668 0.000 0.916 0.084
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 1 0.0000 0.9589 1.000 0.000 0.000
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 3 0.0000 0.9283 0.000 0.000 1.000
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.0000 0.9589 1.000 0.000 0.000
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 2 0.0000 0.9342 0.000 1.000 0.000
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 2 0.0000 0.9342 0.000 1.000 0.000
#> E2A4C651-977F-4F40-B5EC-46DF75944141 1 0.0000 0.9589 1.000 0.000 0.000
#> 433599CC-9DF5-4494-A607-8079FFE74D95 2 0.5873 0.5339 0.312 0.684 0.004
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 2 0.0000 0.9342 0.000 1.000 0.000
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 3 0.0424 0.9250 0.000 0.008 0.992
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.0000 0.9589 1.000 0.000 0.000
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 1 0.0000 0.9589 1.000 0.000 0.000
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 1 0.0000 0.9589 1.000 0.000 0.000
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.0000 0.9283 0.000 0.000 1.000
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 3 0.0424 0.9250 0.000 0.008 0.992
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 3 0.0592 0.9222 0.000 0.012 0.988
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.0000 0.9342 0.000 1.000 0.000
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 2 0.6140 0.3476 0.404 0.596 0.000
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.0000 0.9342 0.000 1.000 0.000
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.0000 0.9589 1.000 0.000 0.000
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 3 0.1860 0.8891 0.000 0.052 0.948
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.0000 0.9589 1.000 0.000 0.000
#> 057B580C-13FD-4185-943C-9DD5266B8554 1 0.4504 0.7384 0.804 0.000 0.196
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 1 0.0237 0.9555 0.996 0.004 0.000
#> 287F3696-25CF-4E67-A934-E50856AD4790 2 0.1643 0.9016 0.000 0.956 0.044
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.0000 0.9342 0.000 1.000 0.000
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 1 0.5529 0.5828 0.704 0.296 0.000
#> B80A74AB-A264-4396-93F8-FD976DBC1456 3 0.1753 0.8930 0.000 0.048 0.952
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.0000 0.9342 0.000 1.000 0.000
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.0000 0.9589 1.000 0.000 0.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.0000 0.9589 1.000 0.000 0.000
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 2 0.0000 0.9342 0.000 1.000 0.000
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 3 0.4842 0.6707 0.000 0.224 0.776
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.0000 0.9342 0.000 1.000 0.000
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.0000 0.9589 1.000 0.000 0.000
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 1 0.6204 0.2914 0.576 0.424 0.000
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.0000 0.9342 0.000 1.000 0.000
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.0000 0.9589 1.000 0.000 0.000
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.0000 0.9342 0.000 1.000 0.000
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 2 0.0000 0.9342 0.000 1.000 0.000
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 2 0.0000 0.9342 0.000 1.000 0.000
#> DD292494-92A2-43CB-B59B-726B2F429B29 2 0.0000 0.9342 0.000 1.000 0.000
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.0000 0.9589 1.000 0.000 0.000
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 1 0.0000 0.9589 1.000 0.000 0.000
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 2 0.0000 0.9342 0.000 1.000 0.000
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 2 0.0000 0.9342 0.000 1.000 0.000
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 1 0.0000 0.9589 1.000 0.000 0.000
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.0000 0.9589 1.000 0.000 0.000
#> 74CF740D-201D-4070-99B9-F007E7C4D472 1 0.0000 0.9589 1.000 0.000 0.000
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 2 0.0000 0.9342 0.000 1.000 0.000
#> 78F28873-E471-497A-9405-FB8955808599 3 0.0424 0.9250 0.000 0.008 0.992
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.0000 0.9342 0.000 1.000 0.000
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.0000 0.9342 0.000 1.000 0.000
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 2 0.0000 0.9342 0.000 1.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.0000 0.829534 0.000 0.000 1.000 0.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.0000 0.805440 1.000 0.000 0.000 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 4 0.4967 -0.035085 0.452 0.000 0.000 0.548
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.3123 0.697706 0.844 0.000 0.000 0.156
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.0000 0.805440 1.000 0.000 0.000 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.0000 0.805440 1.000 0.000 0.000 0.000
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.0469 0.732271 0.000 0.988 0.000 0.012
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.3764 0.630050 0.000 0.784 0.000 0.216
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.4866 0.373124 0.596 0.000 0.000 0.404
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 4 0.4955 0.094478 0.444 0.000 0.000 0.556
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 4 0.7700 0.078114 0.228 0.344 0.000 0.428
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 2 0.0592 0.732718 0.000 0.984 0.000 0.016
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.2589 0.749606 0.884 0.000 0.000 0.116
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 1 0.5000 0.180064 0.504 0.000 0.000 0.496
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.1792 0.755552 0.932 0.000 0.000 0.068
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 3 0.3907 0.634662 0.000 0.232 0.768 0.000
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 4 0.3400 0.476095 0.000 0.180 0.000 0.820
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 4 0.3895 0.472900 0.012 0.184 0.000 0.804
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.2589 0.749691 0.884 0.000 0.000 0.116
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.0000 0.805440 1.000 0.000 0.000 0.000
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 2 0.4019 0.598169 0.012 0.792 0.000 0.196
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#> DC7CE58E-0EA8-4DDD-8AC4-DC5D5E8E7E3B 4 0.7644 0.163993 0.000 0.272 0.260 0.468
#> 67A7E9D8-C2A0-4B52-95BD-BDB781E7A9D5 2 0.7121 0.434442 0.000 0.544 0.292 0.164
#> 21FB1823-0E28-4F50-8546-D0F0847B1733 4 0.4643 0.213049 0.000 0.344 0.000 0.656
#> 93618EAD-7723-4616-BBB2-2D65E45EE3D2 1 0.2868 0.738638 0.864 0.000 0.000 0.136
#> 4864A82F-B571-4665-82FA-9BBEF2141C99 3 0.0817 0.821085 0.000 0.024 0.976 0.000
#> A34C537D-632D-4992-958D-5B85D190382C 1 0.0000 0.805440 1.000 0.000 0.000 0.000
#> 1ACE6BB9-A332-42DD-BA4F-E9902DB413AA 2 0.4972 0.240500 0.000 0.544 0.000 0.456
#> E3C1D3D8-1C78-4C16-B0E5-56B5CCE3C6B4 4 0.4999 -0.166879 0.492 0.000 0.000 0.508
#> 1B0FE71F-DD59-45F7-BA73-E8BEEB7349A8 1 0.3873 0.665018 0.772 0.000 0.000 0.228
#> 8756589A-8352-4CDA-9297-D4C146D1DF47 1 0.3649 0.674437 0.796 0.000 0.000 0.204
#> E013D176-4FCB-4DF5-93F0-72803590B677 3 0.0000 0.829534 0.000 0.000 1.000 0.000
#> D0CCA6E0-8557-491C-AB82-289DF53E57FA 4 0.4428 0.443517 0.276 0.000 0.004 0.720
#> 933DB910-2728-4DC4-840E-B0CD1F13A421 2 0.4436 0.640156 0.000 0.800 0.052 0.148
#> 93910528-D681-4C69-86FD-326293B2F1C1 4 0.4669 0.526655 0.000 0.100 0.104 0.796
#> 3C9FDA2A-01C8-4F17-BBF1-5CAEAE3764D4 4 0.4985 -0.080538 0.468 0.000 0.000 0.532
#> 8879C57E-8876-462F-810E-EE07C2F541AD 2 0.3219 0.636513 0.000 0.836 0.164 0.000
#> 130C8FBD-8D78-4212-8DD6-301EDFA339A9 4 0.5406 -0.145181 0.480 0.012 0.000 0.508
#> 6C1FF3E9-0A8B-4B02-B0E9-EEF333E53592 2 0.4898 0.379055 0.000 0.584 0.000 0.416
#> 726497B7-C557-4D5C-A926-6DDA6136C899 2 0.2011 0.713646 0.000 0.920 0.000 0.080
#> 2299CD19-BF08-404C-B1BF-B570F12CCEF8 2 0.3569 0.627376 0.000 0.804 0.000 0.196
#> E8BCBDC5-E34E-422F-86C2-A4B30400EC86 3 0.0000 0.829534 0.000 0.000 1.000 0.000
#> B9EF0525-8B4A-4306-B06B-35AC457F5F48 4 0.4933 0.000761 0.000 0.432 0.000 0.568
#> F663E106-4E34-46C8-9CD9-AE5E9B8B27F0 2 0.4948 0.330143 0.000 0.560 0.000 0.440
#> 94E26CD5-238B-4D8C-B8E8-A62C44EB2B41 2 0.3081 0.706546 0.048 0.888 0.000 0.064
#> 135743C3-829E-46DC-BBA9-FF07C8067612 1 0.0336 0.803341 0.992 0.000 0.000 0.008
#> CBD7775A-2802-4EB7-9F62-6B80D7667AED 4 0.4776 0.188876 0.376 0.000 0.000 0.624
#> BD6DAD3D-2D5F-4560-9A4C-70D8A1D49732 1 0.0000 0.805440 1.000 0.000 0.000 0.000
#> ED86F92E-6B39-4C0C-9A60-870984F53C4D 1 0.0000 0.805440 1.000 0.000 0.000 0.000
#> CD3B289F-FAE1-405F-875F-23C1D2609DFC 1 0.4647 0.592383 0.704 0.008 0.000 0.288
#> D1C0E70B-B2BB-4FE7-8DEC-B50659739BAA 2 0.1792 0.721728 0.000 0.932 0.000 0.068
#> D2417A9C-CBF0-47F6-B20C-FB32AF632A84 4 0.4904 0.435111 0.040 0.216 0.000 0.744
#> EF5618C6-6AFB-4FB5-A32B-7946F18E9736 1 0.3942 0.645820 0.764 0.000 0.000 0.236
#> 36040CAB-FF77-4540-BB44-7961A6A54B29 2 0.2345 0.696550 0.000 0.900 0.000 0.100
#> 3808C3A9-22DA-4DC5-9F51-884A7EF574E6 4 0.4998 -0.093902 0.488 0.000 0.000 0.512
#> 24363857-9A33-40D4-8409-C17225570833 4 0.5493 0.105882 0.016 0.456 0.000 0.528
#> A57E6132-9B76-493A-A167-8462263B7CDB 4 0.4467 0.541013 0.172 0.040 0.000 0.788
#> 4C020890-E652-4DE4-B66D-5F6F71405F64 4 0.5673 -0.053060 0.448 0.024 0.000 0.528
#> 90C991CD-412E-4318-96E3-EB84B868FE9F 2 0.0000 0.733002 0.000 1.000 0.000 0.000
#> FA8E73EA-649C-43ED-854E-B9472820D1C6 4 0.3266 0.513529 0.000 0.168 0.000 0.832
#> 4D46B5DE-186A-4D35-8E1B-64701C13BC69 2 0.4961 0.129726 0.000 0.552 0.448 0.000
#> D516A82D-2F77-46B2-90F7-30BA5C78AAC8 2 0.3610 0.634692 0.000 0.800 0.000 0.200
#> 1FBD0805-13AE-4A82-8B94-640E1C921262 3 0.0000 0.829534 0.000 0.000 1.000 0.000
#> 264525A9-F7DB-4012-A93B-CF8A7626F125 2 0.4643 0.382809 0.000 0.656 0.344 0.000
#> AFF029D8-FFC9-4AA9-8049-F1E27C743F6F 2 0.7591 0.188848 0.000 0.444 0.204 0.352
#> 5B65768D-0E81-4469-9D69-69B07ED5ACD5 2 0.3774 0.656889 0.004 0.820 0.008 0.168
#> 2CB06CA6-8D1F-4BC7-99BE-66921805B8FD 2 0.4961 0.318469 0.000 0.552 0.000 0.448
#> 956357FB-9AB3-497C-BB55-9D15B486A422 4 0.3569 0.522250 0.196 0.000 0.000 0.804
#> C8F2BAD0-7124-46BF-975C-4B44BE980F93 1 0.0921 0.789208 0.972 0.000 0.000 0.028
#> E96AE267-3E23-4EA9-93E2-D92558155A17 3 0.0000 0.829534 0.000 0.000 1.000 0.000
#> 1C8DCA5B-965B-485A-83B6-5CBEB2117E47 4 0.4134 0.387477 0.000 0.260 0.000 0.740
#> DEAB79F5-336A-49B4-8046-AEE2F567FE46 1 0.0000 0.805440 1.000 0.000 0.000 0.000
#> 767FE89E-E19F-4F56-A744-CB3C5CCC085B 4 0.4406 0.349752 0.000 0.300 0.000 0.700
#> 7B0BF632-79E5-46B5-AAC8-4A6D5A193449 3 0.1716 0.799990 0.000 0.064 0.936 0.000
#> 9A281EDE-FF96-4E66-AEF4-692BDFA8E99D 4 0.4989 -0.136062 0.000 0.472 0.000 0.528
#> B8C2D019-00C9-4E1E-8383-4FE2FFB4D2D7 3 0.0000 0.829534 0.000 0.000 1.000 0.000
#> 39A9B95F-186B-4550-9271-001151B1A626 2 0.4387 0.602078 0.200 0.776 0.000 0.024
#> CAD6E491-88FB-4221-90E9-AC9C68AECCB0 4 0.5040 0.208795 0.364 0.008 0.000 0.628
#> 15EFBC5B-C713-4718-BB6F-0EBBE4D6997F 4 0.4304 0.344242 0.000 0.284 0.000 0.716
#> BBA00038-09B1-461D-9F8E-484890B0D130 1 0.5604 0.213531 0.504 0.020 0.000 0.476
#> 16EBB885-A692-42A6-9027-F6AD769E0ABB 1 0.0000 0.805440 1.000 0.000 0.000 0.000
#> 2D57E24B-97A6-4B85-BC8F-3E02DDC6C460 2 0.0000 0.733002 0.000 1.000 0.000 0.000
#> C6E39F86-9DEF-4BCA-930B-2A3993D18901 2 0.4977 0.293724 0.000 0.540 0.000 0.460
#> 5BE4D8E9-DA18-426F-8AE6-075B15010390 1 0.4761 0.372362 0.628 0.000 0.000 0.372
#> 8E9CAAC7-31D3-473C-821C-2DAD37B44D3A 2 0.0336 0.733551 0.000 0.992 0.000 0.008
#> 368CFCA3-7BAB-4D6D-9AE1-55713A9965C1 3 0.2530 0.744751 0.000 0.000 0.888 0.112
#> 14DB79EF-DE2B-4197-AD32-F657E0655FCD 4 0.4477 0.342533 0.000 0.312 0.000 0.688
#> E73BCFCB-C5FE-4BF2-A236-B9E69711C121 4 0.3810 0.493322 0.188 0.008 0.000 0.804
#> CDAFAFEA-365B-4F25-AEC0-639B6E0CB626 4 0.4722 0.360708 0.008 0.300 0.000 0.692
#> 48A2AAEB-7F60-4284-808E-2058A531B17C 2 0.1637 0.726188 0.000 0.940 0.000 0.060
#> D4276C6F-9F0F-4F74-A85E-1E54272ADDED 2 0.1302 0.732529 0.000 0.956 0.000 0.044
#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 2 0.4304 0.528333 0.000 0.716 0.000 0.284
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 2 0.4888 0.372701 0.000 0.588 0.000 0.412
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 3 0.0336 0.827084 0.000 0.008 0.992 0.000
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 1 0.0188 0.803701 0.996 0.000 0.000 0.004
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 3 0.2647 0.736720 0.000 0.000 0.880 0.120
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 1 0.4422 0.481265 0.736 0.008 0.000 0.256
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 1 0.0000 0.805440 1.000 0.000 0.000 0.000
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 4 0.1722 0.577359 0.048 0.008 0.000 0.944
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 4 0.5185 0.529374 0.176 0.076 0.000 0.748
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 2 0.3528 0.625059 0.000 0.808 0.000 0.192
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 2 0.3311 0.670544 0.000 0.828 0.000 0.172
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 4 0.4925 0.044009 0.428 0.000 0.000 0.572
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 2 0.4776 0.443060 0.000 0.624 0.000 0.376
#> C7997523-47CF-40F0-8803-AB873E38033C 4 0.4761 0.167121 0.000 0.372 0.000 0.628
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 2 0.3649 0.633469 0.000 0.796 0.000 0.204
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 3 0.4994 0.089156 0.000 0.480 0.520 0.000
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 3 0.4981 0.244020 0.464 0.000 0.536 0.000
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 1 0.0000 0.805440 1.000 0.000 0.000 0.000
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 2 0.0817 0.731832 0.000 0.976 0.000 0.024
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 4 0.4998 -0.024285 0.000 0.488 0.000 0.512
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 3 0.0000 0.829534 0.000 0.000 1.000 0.000
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 4 0.4981 -0.114444 0.000 0.464 0.000 0.536
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 1 0.4522 0.490086 0.680 0.000 0.000 0.320
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.0000 0.805440 1.000 0.000 0.000 0.000
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 1 0.5294 0.212819 0.508 0.008 0.000 0.484
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 1 0.0188 0.803701 0.996 0.000 0.000 0.004
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 3 0.3172 0.722318 0.000 0.160 0.840 0.000
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 4 0.7121 0.260911 0.292 0.164 0.000 0.544
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 2 0.1302 0.732194 0.000 0.956 0.000 0.044
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 2 0.4916 0.379092 0.000 0.576 0.000 0.424
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.0921 0.789166 0.972 0.000 0.000 0.028
#> E15EAAB4-0860-4716-9922-667F604CDF12 1 0.4843 0.440788 0.604 0.000 0.000 0.396
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 4 0.3908 0.465965 0.000 0.212 0.004 0.784
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 4 0.4985 -0.092877 0.468 0.000 0.000 0.532
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 3 0.0000 0.829534 0.000 0.000 1.000 0.000
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.0592 0.802347 0.984 0.000 0.000 0.016
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 2 0.0592 0.733363 0.000 0.984 0.000 0.016
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 2 0.0817 0.732994 0.000 0.976 0.000 0.024
#> E2A4C651-977F-4F40-B5EC-46DF75944141 1 0.4916 0.324146 0.576 0.000 0.000 0.424
#> 433599CC-9DF5-4494-A607-8079FFE74D95 2 0.6646 0.438360 0.204 0.624 0.000 0.172
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 4 0.7228 0.139795 0.000 0.340 0.156 0.504
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 2 0.4730 0.341166 0.000 0.636 0.364 0.000
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.1637 0.776804 0.940 0.000 0.000 0.060
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 4 0.5290 0.100164 0.404 0.012 0.000 0.584
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 1 0.4543 0.532464 0.676 0.000 0.000 0.324
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.0000 0.829534 0.000 0.000 1.000 0.000
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 2 0.4999 -0.013206 0.000 0.508 0.492 0.000
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 2 0.4830 0.278448 0.000 0.608 0.392 0.000
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.4925 0.338022 0.000 0.572 0.000 0.428
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 4 0.7159 0.285280 0.272 0.180 0.000 0.548
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.1211 0.731001 0.000 0.960 0.000 0.040
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.0000 0.805440 1.000 0.000 0.000 0.000
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 2 0.4543 0.418900 0.000 0.676 0.324 0.000
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.0000 0.805440 1.000 0.000 0.000 0.000
#> 057B580C-13FD-4185-943C-9DD5266B8554 3 0.5984 0.292047 0.048 0.000 0.580 0.372
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 4 0.4808 0.435356 0.028 0.000 0.236 0.736
#> 287F3696-25CF-4E67-A934-E50856AD4790 2 0.0469 0.732855 0.000 0.988 0.000 0.012
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.4454 0.523270 0.000 0.692 0.000 0.308
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 4 0.3257 0.543468 0.152 0.004 0.000 0.844
#> B80A74AB-A264-4396-93F8-FD976DBC1456 2 0.4382 0.466578 0.000 0.704 0.296 0.000
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.3837 0.624212 0.000 0.776 0.000 0.224
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.0000 0.805440 1.000 0.000 0.000 0.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.2973 0.729227 0.856 0.000 0.000 0.144
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 2 0.2973 0.664548 0.000 0.856 0.000 0.144
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 2 0.4961 0.148689 0.000 0.552 0.448 0.000
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.4977 0.293724 0.000 0.540 0.000 0.460
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.0000 0.805440 1.000 0.000 0.000 0.000
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 4 0.3606 0.532436 0.140 0.020 0.000 0.840
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.1474 0.728011 0.000 0.948 0.000 0.052
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.0000 0.805440 1.000 0.000 0.000 0.000
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 4 0.4713 0.198387 0.000 0.360 0.000 0.640
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 2 0.1356 0.730048 0.000 0.960 0.032 0.008
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 4 0.4008 0.419937 0.000 0.244 0.000 0.756
#> DD292494-92A2-43CB-B59B-726B2F429B29 4 0.3219 0.489101 0.000 0.164 0.000 0.836
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.1474 0.788380 0.948 0.000 0.000 0.052
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 4 0.4356 0.365408 0.292 0.000 0.000 0.708
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 2 0.3837 0.591284 0.000 0.776 0.000 0.224
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 4 0.4872 0.418167 0.000 0.244 0.028 0.728
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 4 0.4992 -0.114578 0.476 0.000 0.000 0.524
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.0000 0.805440 1.000 0.000 0.000 0.000
#> 74CF740D-201D-4070-99B9-F007E7C4D472 4 0.6689 0.417312 0.184 0.000 0.196 0.620
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 4 0.4761 0.165882 0.000 0.372 0.000 0.628
#> 78F28873-E471-497A-9405-FB8955808599 3 0.1022 0.818400 0.000 0.032 0.968 0.000
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.0469 0.733608 0.000 0.988 0.000 0.012
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.1302 0.729523 0.000 0.956 0.000 0.044
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 4 0.4624 0.250179 0.000 0.340 0.000 0.660
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.0000 0.89789 0.000 0.000 1.000 0.000 0.000
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#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 2 0.0324 0.87378 0.000 0.992 0.004 0.004 0.000
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 5 0.1124 0.79746 0.000 0.036 0.000 0.004 0.960
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 4 0.0992 0.77334 0.008 0.024 0.000 0.968 0.000
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.3171 0.75626 0.000 0.816 0.000 0.008 0.176
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.0162 0.86450 0.996 0.000 0.000 0.004 0.000
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 2 0.0324 0.87378 0.000 0.992 0.004 0.004 0.000
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.0000 0.86580 1.000 0.000 0.000 0.000 0.000
#> 057B580C-13FD-4185-943C-9DD5266B8554 3 0.3491 0.66824 0.000 0.000 0.768 0.228 0.004
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 4 0.4425 0.49207 0.000 0.000 0.040 0.716 0.244
#> 287F3696-25CF-4E67-A934-E50856AD4790 2 0.0162 0.87446 0.000 0.996 0.000 0.000 0.004
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 5 0.4375 0.22462 0.000 0.420 0.000 0.004 0.576
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 5 0.2891 0.68810 0.000 0.000 0.000 0.176 0.824
#> B80A74AB-A264-4396-93F8-FD976DBC1456 2 0.0324 0.87378 0.000 0.992 0.004 0.004 0.000
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 4 0.6366 -0.10431 0.000 0.396 0.000 0.440 0.164
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.0162 0.86449 0.996 0.000 0.000 0.004 0.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.4210 0.22175 0.588 0.000 0.000 0.412 0.000
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 2 0.1638 0.84427 0.000 0.932 0.000 0.064 0.004
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 2 0.0703 0.86885 0.000 0.976 0.024 0.000 0.000
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 5 0.0510 0.80277 0.000 0.016 0.000 0.000 0.984
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.0162 0.86450 0.996 0.000 0.000 0.004 0.000
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 4 0.1478 0.74303 0.000 0.000 0.000 0.936 0.064
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.2773 0.77385 0.000 0.836 0.000 0.000 0.164
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.0000 0.86580 1.000 0.000 0.000 0.000 0.000
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 5 0.0162 0.80541 0.000 0.000 0.000 0.004 0.996
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 2 0.0162 0.87433 0.000 0.996 0.000 0.004 0.000
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 4 0.1341 0.74741 0.000 0.000 0.000 0.944 0.056
#> DD292494-92A2-43CB-B59B-726B2F429B29 5 0.3895 0.55895 0.000 0.000 0.000 0.320 0.680
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.4201 0.24289 0.592 0.000 0.000 0.408 0.000
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 4 0.0794 0.77108 0.000 0.000 0.000 0.972 0.028
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 4 0.4350 0.18348 0.004 0.408 0.000 0.588 0.000
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 5 0.6688 0.02103 0.000 0.240 0.000 0.356 0.404
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 4 0.0404 0.77545 0.012 0.000 0.000 0.988 0.000
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.0000 0.86580 1.000 0.000 0.000 0.000 0.000
#> 74CF740D-201D-4070-99B9-F007E7C4D472 5 0.4969 0.30520 0.000 0.000 0.376 0.036 0.588
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 5 0.0000 0.80483 0.000 0.000 0.000 0.000 1.000
#> 78F28873-E471-497A-9405-FB8955808599 3 0.3366 0.70959 0.000 0.212 0.784 0.004 0.000
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.0794 0.86926 0.000 0.972 0.000 0.000 0.028
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.2471 0.80115 0.000 0.864 0.000 0.000 0.136
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 5 0.4671 0.40740 0.000 0.028 0.000 0.332 0.640
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.0000 0.9068 0.000 0.000 1.000 0.000 0.000 0.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.0000 0.9117 1.000 0.000 0.000 0.000 0.000 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 6 0.3765 0.5921 0.000 0.000 0.000 0.404 0.000 0.596
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.0000 0.9117 1.000 0.000 0.000 0.000 0.000 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.0260 0.9079 0.992 0.000 0.000 0.000 0.000 0.008
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.0146 0.9097 0.996 0.000 0.000 0.000 0.000 0.004
#> 966A3A03-3879-4816-A1E9-D805F6018836 5 0.2772 0.7304 0.000 0.004 0.000 0.000 0.816 0.180
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 5 0.5104 0.5985 0.000 0.108 0.000 0.000 0.588 0.304
#> 18971368-40F0-42D3-B1A3-707850C53B18 6 0.5026 0.6660 0.028 0.088 0.000 0.204 0.000 0.680
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 6 0.5603 0.4822 0.004 0.140 0.000 0.336 0.000 0.520
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 6 0.7892 -0.4186 0.192 0.252 0.000 0.128 0.036 0.392
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 5 0.0547 0.7508 0.000 0.000 0.000 0.000 0.980 0.020
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 6 0.4851 0.5321 0.272 0.000 0.000 0.096 0.000 0.632
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 6 0.3874 0.6462 0.008 0.000 0.000 0.356 0.000 0.636
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.0000 0.9117 1.000 0.000 0.000 0.000 0.000 0.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 5 0.0713 0.7339 0.000 0.000 0.028 0.000 0.972 0.000
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 2 0.2798 0.6414 0.000 0.852 0.000 0.112 0.000 0.036
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 2 0.1633 0.6904 0.000 0.932 0.000 0.044 0.000 0.024
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.1501 0.8552 0.924 0.000 0.000 0.000 0.000 0.076
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.0000 0.9117 1.000 0.000 0.000 0.000 0.000 0.000
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 6 0.4904 0.5313 0.000 0.000 0.000 0.120 0.236 0.644
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 5 0.1387 0.7535 0.000 0.000 0.000 0.000 0.932 0.068
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 6 0.4775 0.4680 0.000 0.348 0.000 0.064 0.000 0.588
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 1 0.0000 0.9117 1.000 0.000 0.000 0.000 0.000 0.000
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 4 0.2538 0.5451 0.000 0.000 0.000 0.860 0.016 0.124
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 4 0.4178 0.5490 0.120 0.104 0.000 0.764 0.000 0.012
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.0000 0.9117 1.000 0.000 0.000 0.000 0.000 0.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 4 0.3405 0.3304 0.004 0.000 0.000 0.724 0.000 0.272
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 5 0.4654 0.6545 0.000 0.080 0.000 0.000 0.652 0.268
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 5 0.0713 0.7353 0.000 0.000 0.028 0.000 0.972 0.000
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 2 0.1003 0.7038 0.000 0.964 0.000 0.016 0.000 0.020
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 5 0.4291 0.6638 0.000 0.044 0.000 0.000 0.664 0.292
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.0000 0.9117 1.000 0.000 0.000 0.000 0.000 0.000
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 5 0.4254 0.6920 0.000 0.000 0.000 0.072 0.712 0.216
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 4 0.4402 0.2587 0.004 0.412 0.000 0.564 0.000 0.020
#> BE56F908-42DD-4019-A8AC-48884DA788B1 4 0.2003 0.5571 0.000 0.000 0.000 0.884 0.000 0.116
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 2 0.2784 0.6796 0.000 0.872 0.004 0.004 0.072 0.048
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 6 0.4278 0.6571 0.000 0.000 0.000 0.336 0.032 0.632
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 3 0.2923 0.7571 0.000 0.000 0.848 0.052 0.000 0.100
#> 791D9EB8-42E0-4192-B064-B1126CA14481 2 0.0458 0.7087 0.000 0.984 0.000 0.016 0.000 0.000
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 5 0.3424 0.7157 0.000 0.024 0.000 0.000 0.772 0.204
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 5 0.5590 0.5858 0.000 0.096 0.000 0.024 0.564 0.316
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.0000 0.9117 1.000 0.000 0.000 0.000 0.000 0.000
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 4 0.3383 0.4380 0.268 0.000 0.000 0.728 0.000 0.004
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 3 0.0000 0.9068 0.000 0.000 1.000 0.000 0.000 0.000
#> D47C7B74-BB01-4614-B683-652F7130729C 5 0.4809 0.6423 0.000 0.052 0.000 0.012 0.628 0.308
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 4 0.5551 0.2532 0.000 0.360 0.000 0.496 0.000 0.144
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 2 0.5722 0.1959 0.000 0.516 0.000 0.216 0.000 0.268
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.2595 0.7762 0.836 0.004 0.000 0.160 0.000 0.000
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.3601 0.6576 0.000 0.684 0.000 0.004 0.000 0.312
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.0000 0.9117 1.000 0.000 0.000 0.000 0.000 0.000
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 4 0.1594 0.6022 0.000 0.052 0.000 0.932 0.000 0.016
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 5 0.6122 0.1038 0.000 0.336 0.000 0.000 0.356 0.308
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 5 0.0000 0.7484 0.000 0.000 0.000 0.000 1.000 0.000
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 1 0.3330 0.5811 0.716 0.000 0.284 0.000 0.000 0.000
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 1 0.0000 0.9117 1.000 0.000 0.000 0.000 0.000 0.000
#> 58F11B66-AE40-417E-B465-811C6CF7311C 4 0.3030 0.5654 0.092 0.000 0.000 0.848 0.004 0.056
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.0146 0.9097 0.996 0.000 0.000 0.000 0.000 0.004
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 4 0.3727 0.3506 0.000 0.000 0.000 0.612 0.388 0.000
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 4 0.2136 0.6130 0.000 0.000 0.000 0.904 0.048 0.048
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 5 0.4569 0.6440 0.000 0.060 0.000 0.000 0.636 0.304
#> 739952C6-FF36-4E34-B881-E02FE17C4012 6 0.6170 0.5664 0.144 0.124 0.000 0.128 0.000 0.604
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 1 0.0146 0.9097 0.996 0.000 0.000 0.000 0.000 0.004
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 5 0.4344 0.6556 0.000 0.044 0.000 0.000 0.652 0.304
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 1 0.3126 0.6333 0.752 0.000 0.000 0.000 0.000 0.248
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 6 0.4224 0.6585 0.028 0.000 0.000 0.340 0.000 0.632
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 6 0.5085 0.5340 0.272 0.000 0.000 0.120 0.000 0.608
#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 6 0.4222 0.6788 0.016 0.016 0.000 0.292 0.000 0.676
#> F6B26185-139B-47A7-91EC-E885D94AC882 2 0.5491 -0.0240 0.000 0.504 0.068 0.024 0.000 0.404
#> 81F30B6F-3E9A-4913-986B-C56D5F107A17 6 0.4926 0.3561 0.000 0.000 0.000 0.068 0.392 0.540
#> 2CCB3AE1-0D27-4493-B7AE-67C60BBC1C38 5 0.0000 0.7484 0.000 0.000 0.000 0.000 1.000 0.000
#> 329665BC-B959-47C5-B831-5546F94EDAC1 2 0.1480 0.6970 0.000 0.940 0.000 0.020 0.000 0.040
#> 8D4335F6-6ACB-4E38-B9F2-A2B5B647AE90 2 0.2889 0.6412 0.000 0.848 0.000 0.108 0.000 0.044
#> D181D0D8-FD8C-4259-9B34-97224CF27E1B 2 0.2442 0.7099 0.000 0.852 0.000 0.004 0.000 0.144
#> C0C10950-ABC5-4125-A33E-5AFA2D2574B0 5 0.1588 0.7531 0.000 0.004 0.000 0.000 0.924 0.072
#> 834D12DB-0925-422C-B15B-20A60A5F658C 2 0.3163 0.6911 0.000 0.764 0.000 0.004 0.000 0.232
#> 50314689-519F-4B27-884C-7816DD64CF4E 1 0.0000 0.9117 1.000 0.000 0.000 0.000 0.000 0.000
#> 2502A23E-E168-4A78-9C14-B93FBC9715B1 1 0.0000 0.9117 1.000 0.000 0.000 0.000 0.000 0.000
#> 3F8D01A3-5449-48A1-BDBA-BFE4D908AE31 4 0.2581 0.5614 0.000 0.000 0.000 0.860 0.020 0.120
#> 1C47A87B-C033-4705-B903-DB33B8C6EC34 6 0.4529 0.5404 0.000 0.032 0.000 0.460 0.000 0.508
#> 1329E1C1-743E-4541-9081-165572D4BF47 2 0.3316 0.6590 0.000 0.812 0.000 0.136 0.000 0.052
#> 1F3F8680-EEB6-4532-B81D-51957D1EA502 1 0.4154 0.5105 0.676 0.296 0.000 0.012 0.000 0.016
#> 50F69785-8B7A-4933-85B1-8DC539ACC72A 1 0.0000 0.9117 1.000 0.000 0.000 0.000 0.000 0.000
#> 9095FDD8-EEB2-4B17-85AB-3CDAC0BEC759 6 0.4628 0.6540 0.008 0.000 0.016 0.332 0.016 0.628
#> B6BF8C22-03E4-44F0-B2EF-2A3DD6ADE7D7 6 0.5656 0.4175 0.108 0.324 0.000 0.020 0.000 0.548
#> D6A907FC-3A1B-4E3B-A440-1CE9BE9B334B 2 0.6095 0.2701 0.000 0.384 0.000 0.324 0.000 0.292
#> 02588D5D-89CB-4D0B-9E96-A0270C3FF866 2 0.6095 0.0631 0.000 0.388 0.000 0.000 0.304 0.308
#> D50BBFC7-7774-4B12-938C-8D5373C12DFC 5 0.6778 0.4314 0.000 0.064 0.000 0.196 0.448 0.292
#> 6E930060-502B-49F5-A385-9B91DEBD05E4 1 0.0000 0.9117 1.000 0.000 0.000 0.000 0.000 0.000
#> F6606A8E-ACC6-4826-9547-E0017521724D 6 0.5788 0.4348 0.000 0.204 0.000 0.308 0.000 0.488
#> 981584D3-10DB-455C-8132-E8E5F44E1222 2 0.0405 0.7120 0.000 0.988 0.000 0.004 0.000 0.008
#> 47F6E197-7164-4289-95B5-8FD305A13B4C 6 0.6064 0.5204 0.048 0.244 0.000 0.140 0.000 0.568
#> 4522D871-9379-4643-B15E-9ACB556276C4 3 0.1391 0.8648 0.000 0.000 0.944 0.016 0.000 0.040
#> 7560B2B5-6AF5-4600-9F0A-BE25CF99B6B9 1 0.4098 0.4793 0.676 0.000 0.000 0.032 0.000 0.292
#> 38F5957E-0A99-432D-8F0B-B48E03F17668 1 0.0000 0.9117 1.000 0.000 0.000 0.000 0.000 0.000
#> 7A6BBBE6-2B3B-44EB-A101-C823739AB24F 5 0.4971 0.6149 0.000 0.096 0.000 0.000 0.604 0.300
#> 0782D25A-3B14-499E-A40C-3852B3A15B8B 2 0.5969 0.3943 0.000 0.448 0.000 0.260 0.000 0.292
#> 31D4B639-D1E5-479B-AEC2-34F758F2E470 6 0.4320 0.6777 0.000 0.036 0.004 0.296 0.000 0.664
#> C49078E1-E730-4E81-8EAE-5AAAB9FA1BF5 3 0.0363 0.8993 0.000 0.000 0.988 0.000 0.000 0.012
#> 48BCD3B8-917F-4E8F-BCEA-1363570A6486 2 0.3403 0.5685 0.000 0.768 0.000 0.020 0.000 0.212
#> F3BA6259-9F68-47D0-ABDD-1272AE112CAB 5 0.6205 0.2386 0.000 0.288 0.000 0.004 0.392 0.316
#> 3CA49BB1-30F6-47F3-A751-D5601E16BDBA 2 0.0291 0.7122 0.000 0.992 0.000 0.004 0.000 0.004
#> 47747595-686A-46B5-9EF4-A4CFB85D746D 1 0.3854 0.1739 0.536 0.000 0.464 0.000 0.000 0.000
#> 87974EFF-C2DE-4930-93E3-015E6D996440 3 0.3076 0.6906 0.000 0.000 0.760 0.000 0.240 0.000
#> 7D272E6C-826D-4D02-8383-6A3D5BBF3A5F 3 0.0000 0.9068 0.000 0.000 1.000 0.000 0.000 0.000
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#> 9A281EDE-FF96-4E66-AEF4-692BDFA8E99D 2 0.1267 0.7152 0.000 0.940 0.000 0.000 0.000 0.060
#> B8C2D019-00C9-4E1E-8383-4FE2FFB4D2D7 3 0.0000 0.9068 0.000 0.000 1.000 0.000 0.000 0.000
#> 39A9B95F-186B-4550-9271-001151B1A626 1 0.4552 0.4537 0.648 0.064 0.000 0.000 0.000 0.288
#> CAD6E491-88FB-4221-90E9-AC9C68AECCB0 4 0.2883 0.3211 0.000 0.000 0.000 0.788 0.000 0.212
#> 15EFBC5B-C713-4718-BB6F-0EBBE4D6997F 2 0.5848 0.3914 0.000 0.480 0.000 0.296 0.000 0.224
#> BBA00038-09B1-461D-9F8E-484890B0D130 4 0.2302 0.5586 0.000 0.000 0.000 0.872 0.008 0.120
#> 16EBB885-A692-42A6-9027-F6AD769E0ABB 1 0.2048 0.8079 0.880 0.000 0.000 0.000 0.000 0.120
#> 2D57E24B-97A6-4B85-BC8F-3E02DDC6C460 5 0.0363 0.7506 0.000 0.000 0.000 0.000 0.988 0.012
#> C6E39F86-9DEF-4BCA-930B-2A3993D18901 2 0.3330 0.6725 0.000 0.716 0.000 0.000 0.000 0.284
#> 5BE4D8E9-DA18-426F-8AE6-075B15010390 6 0.4235 0.6769 0.008 0.024 0.000 0.300 0.000 0.668
#> 8E9CAAC7-31D3-473C-821C-2DAD37B44D3A 5 0.5133 0.5915 0.000 0.108 0.000 0.000 0.580 0.312
#> 368CFCA3-7BAB-4D6D-9AE1-55713A9965C1 3 0.2383 0.7971 0.000 0.000 0.880 0.024 0.000 0.096
#> 14DB79EF-DE2B-4197-AD32-F657E0655FCD 2 0.4428 0.2760 0.000 0.580 0.000 0.388 0.000 0.032
#> E73BCFCB-C5FE-4BF2-A236-B9E69711C121 4 0.2697 0.5479 0.000 0.044 0.000 0.864 0.000 0.092
#> CDAFAFEA-365B-4F25-AEC0-639B6E0CB626 4 0.1421 0.5945 0.000 0.028 0.000 0.944 0.000 0.028
#> 48A2AAEB-7F60-4284-808E-2058A531B17C 5 0.5304 0.5847 0.000 0.144 0.000 0.000 0.580 0.276
#> D4276C6F-9F0F-4F74-A85E-1E54272ADDED 5 0.5352 0.5762 0.000 0.116 0.000 0.004 0.564 0.316
#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 2 0.4770 0.6372 0.000 0.640 0.000 0.072 0.004 0.284
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 4 0.5207 0.3323 0.000 0.104 0.000 0.608 0.008 0.280
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 3 0.1350 0.8802 0.000 0.000 0.952 0.008 0.020 0.020
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 1 0.0000 0.9117 1.000 0.000 0.000 0.000 0.000 0.000
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 3 0.0000 0.9068 0.000 0.000 1.000 0.000 0.000 0.000
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 6 0.5906 0.2017 0.208 0.368 0.000 0.000 0.000 0.424
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 1 0.1765 0.8396 0.904 0.000 0.000 0.096 0.000 0.000
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 4 0.5882 -0.1400 0.000 0.200 0.000 0.420 0.000 0.380
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 2 0.1480 0.6970 0.000 0.940 0.000 0.020 0.000 0.040
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 5 0.3890 0.2073 0.000 0.000 0.000 0.400 0.596 0.004
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 5 0.5315 0.5700 0.000 0.132 0.000 0.000 0.564 0.304
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 6 0.3982 0.5269 0.000 0.004 0.000 0.460 0.000 0.536
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 2 0.4403 0.6246 0.000 0.648 0.000 0.000 0.048 0.304
#> C7997523-47CF-40F0-8803-AB873E38033C 2 0.0363 0.7119 0.000 0.988 0.000 0.000 0.000 0.012
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 4 0.6038 0.3601 0.000 0.032 0.000 0.556 0.172 0.240
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 5 0.0000 0.7484 0.000 0.000 0.000 0.000 1.000 0.000
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 1 0.0146 0.9090 0.996 0.000 0.004 0.000 0.000 0.000
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 1 0.0000 0.9117 1.000 0.000 0.000 0.000 0.000 0.000
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 5 0.3027 0.7325 0.000 0.028 0.000 0.000 0.824 0.148
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 4 0.5903 -0.0865 0.000 0.312 0.000 0.460 0.000 0.228
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 3 0.0000 0.9068 0.000 0.000 1.000 0.000 0.000 0.000
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 2 0.2762 0.7009 0.000 0.804 0.000 0.000 0.000 0.196
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 6 0.3938 0.6682 0.016 0.000 0.000 0.324 0.000 0.660
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.0000 0.9117 1.000 0.000 0.000 0.000 0.000 0.000
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 4 0.2048 0.5511 0.000 0.000 0.000 0.880 0.000 0.120
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 1 0.2135 0.7999 0.872 0.000 0.000 0.000 0.000 0.128
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 3 0.3547 0.5353 0.000 0.000 0.668 0.000 0.332 0.000
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 4 0.2696 0.6149 0.004 0.044 0.000 0.884 0.012 0.056
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 5 0.5421 0.5664 0.000 0.124 0.000 0.004 0.556 0.316
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 4 0.5813 0.1014 0.000 0.216 0.000 0.488 0.000 0.296
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.0000 0.9117 1.000 0.000 0.000 0.000 0.000 0.000
#> E15EAAB4-0860-4716-9922-667F604CDF12 6 0.4088 0.6381 0.016 0.000 0.000 0.368 0.000 0.616
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 2 0.4929 0.3833 0.000 0.620 0.000 0.000 0.100 0.280
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 4 0.3409 0.2586 0.000 0.000 0.000 0.700 0.000 0.300
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 3 0.0000 0.9068 0.000 0.000 1.000 0.000 0.000 0.000
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.0146 0.9097 0.996 0.000 0.000 0.000 0.000 0.004
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 5 0.4687 0.6344 0.000 0.068 0.000 0.000 0.624 0.308
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 5 0.5066 0.6031 0.000 0.104 0.000 0.000 0.592 0.304
#> E2A4C651-977F-4F40-B5EC-46DF75944141 6 0.5324 0.6463 0.056 0.108 0.000 0.156 0.000 0.680
#> 433599CC-9DF5-4494-A607-8079FFE74D95 5 0.1387 0.7130 0.000 0.000 0.000 0.068 0.932 0.000
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 2 0.4628 0.5501 0.000 0.712 0.156 0.124 0.000 0.008
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 5 0.0146 0.7480 0.000 0.000 0.004 0.000 0.996 0.000
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.0000 0.9117 1.000 0.000 0.000 0.000 0.000 0.000
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 4 0.3866 -0.4728 0.000 0.000 0.000 0.516 0.000 0.484
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 6 0.4856 0.6702 0.080 0.016 0.000 0.228 0.000 0.676
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.0000 0.9068 0.000 0.000 1.000 0.000 0.000 0.000
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 5 0.0547 0.7380 0.000 0.000 0.020 0.000 0.980 0.000
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 5 0.0000 0.7484 0.000 0.000 0.000 0.000 1.000 0.000
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.3861 0.6496 0.000 0.672 0.000 0.004 0.008 0.316
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 6 0.4076 0.6391 0.000 0.000 0.000 0.396 0.012 0.592
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 5 0.5679 0.5357 0.000 0.144 0.000 0.008 0.532 0.316
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.0713 0.8936 0.972 0.000 0.000 0.000 0.000 0.028
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 5 0.0000 0.7484 0.000 0.000 0.000 0.000 1.000 0.000
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.0000 0.9117 1.000 0.000 0.000 0.000 0.000 0.000
#> 057B580C-13FD-4185-943C-9DD5266B8554 3 0.4341 0.6528 0.000 0.020 0.756 0.096 0.000 0.128
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 4 0.5890 0.1236 0.000 0.204 0.368 0.428 0.000 0.000
#> 287F3696-25CF-4E67-A934-E50856AD4790 5 0.0713 0.7516 0.000 0.000 0.000 0.000 0.972 0.028
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.4616 0.6008 0.000 0.624 0.000 0.000 0.060 0.316
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 2 0.5714 -0.0947 0.000 0.464 0.000 0.168 0.000 0.368
#> B80A74AB-A264-4396-93F8-FD976DBC1456 5 0.0000 0.7484 0.000 0.000 0.000 0.000 1.000 0.000
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 4 0.5574 0.3041 0.000 0.116 0.000 0.584 0.020 0.280
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.0146 0.9097 0.996 0.000 0.000 0.000 0.000 0.004
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.5497 0.2011 0.560 0.000 0.000 0.184 0.000 0.256
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 5 0.5893 0.5507 0.000 0.016 0.000 0.172 0.540 0.272
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 5 0.0000 0.7484 0.000 0.000 0.000 0.000 1.000 0.000
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.2300 0.7122 0.000 0.856 0.000 0.000 0.000 0.144
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.1814 0.8316 0.900 0.000 0.000 0.000 0.000 0.100
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 4 0.1644 0.6050 0.000 0.076 0.000 0.920 0.000 0.004
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 5 0.5492 0.5324 0.000 0.152 0.000 0.000 0.536 0.312
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.0260 0.9076 0.992 0.000 0.000 0.000 0.000 0.008
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.1408 0.7140 0.000 0.944 0.000 0.020 0.000 0.036
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 5 0.0363 0.7459 0.000 0.000 0.000 0.012 0.988 0.000
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 4 0.1349 0.6053 0.000 0.056 0.000 0.940 0.000 0.004
#> DD292494-92A2-43CB-B59B-726B2F429B29 2 0.4265 0.4635 0.000 0.660 0.000 0.300 0.000 0.040
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 6 0.4941 0.5849 0.212 0.000 0.000 0.140 0.000 0.648
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 6 0.5422 0.2555 0.000 0.116 0.000 0.436 0.000 0.448
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 4 0.3712 0.5629 0.000 0.000 0.000 0.768 0.180 0.052
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 6 0.5962 0.4431 0.000 0.032 0.000 0.352 0.112 0.504
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 4 0.2730 0.4685 0.000 0.000 0.000 0.808 0.000 0.192
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.0000 0.9117 1.000 0.000 0.000 0.000 0.000 0.000
#> 74CF740D-201D-4070-99B9-F007E7C4D472 2 0.5543 0.1363 0.000 0.516 0.364 0.008 0.000 0.112
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 2 0.1320 0.6999 0.000 0.948 0.000 0.016 0.000 0.036
#> 78F28873-E471-497A-9405-FB8955808599 5 0.3797 0.0547 0.000 0.000 0.420 0.000 0.580 0.000
#> 29294D9A-434B-4581-9591-63D16107C7B1 5 0.4814 0.6272 0.000 0.080 0.000 0.000 0.616 0.304
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 5 0.5170 0.5859 0.000 0.112 0.000 0.000 0.576 0.312
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 6 0.5865 0.4319 0.000 0.340 0.000 0.180 0.004 0.476
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 17397 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'CV' method.
#> Subgroups are detected by 'hclust' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 3.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.633 0.863 0.934 0.2099 0.866 0.866
#> 3 3 0.343 0.699 0.841 1.0171 0.704 0.658
#> 4 4 0.304 0.742 0.833 0.2528 0.933 0.883
#> 5 5 0.359 0.579 0.779 0.1685 0.961 0.925
#> 6 6 0.387 0.500 0.715 0.0864 0.918 0.831
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
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 1 0.9552 0.4371 0.624 0.376
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.1843 0.9210 0.972 0.028
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 1 0.0000 0.9304 1.000 0.000
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.0000 0.9304 1.000 0.000
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#> 4C020890-E652-4DE4-B66D-5F6F71405F64 1 0.0672 0.9291 0.992 0.008
#> 90C991CD-412E-4318-96E3-EB84B868FE9F 1 0.5294 0.8640 0.880 0.120
#> FA8E73EA-649C-43ED-854E-B9472820D1C6 1 0.0000 0.9304 1.000 0.000
#> 4D46B5DE-186A-4D35-8E1B-64701C13BC69 2 0.6623 0.7961 0.172 0.828
#> D516A82D-2F77-46B2-90F7-30BA5C78AAC8 1 0.2948 0.9117 0.948 0.052
#> 1FBD0805-13AE-4A82-8B94-640E1C921262 1 0.9460 0.4642 0.636 0.364
#> 264525A9-F7DB-4012-A93B-CF8A7626F125 2 0.3274 0.8804 0.060 0.940
#> AFF029D8-FFC9-4AA9-8049-F1E27C743F6F 1 0.0376 0.9296 0.996 0.004
#> 5B65768D-0E81-4469-9D69-69B07ED5ACD5 1 0.1843 0.9228 0.972 0.028
#> 2CB06CA6-8D1F-4BC7-99BE-66921805B8FD 1 0.5294 0.8646 0.880 0.120
#> 956357FB-9AB3-497C-BB55-9D15B486A422 1 0.0000 0.9304 1.000 0.000
#> C8F2BAD0-7124-46BF-975C-4B44BE980F93 1 0.0000 0.9304 1.000 0.000
#> E96AE267-3E23-4EA9-93E2-D92558155A17 1 0.9552 0.4371 0.624 0.376
#> 1C8DCA5B-965B-485A-83B6-5CBEB2117E47 1 0.0672 0.9293 0.992 0.008
#> DEAB79F5-336A-49B4-8046-AEE2F567FE46 1 0.0000 0.9304 1.000 0.000
#> 767FE89E-E19F-4F56-A744-CB3C5CCC085B 1 0.1843 0.9227 0.972 0.028
#> 7B0BF632-79E5-46B5-AAC8-4A6D5A193449 2 0.0000 0.8960 0.000 1.000
#> 9A281EDE-FF96-4E66-AEF4-692BDFA8E99D 1 0.1184 0.9264 0.984 0.016
#> B8C2D019-00C9-4E1E-8383-4FE2FFB4D2D7 1 0.9552 0.4371 0.624 0.376
#> 39A9B95F-186B-4550-9271-001151B1A626 1 0.3879 0.8973 0.924 0.076
#> CAD6E491-88FB-4221-90E9-AC9C68AECCB0 1 0.0000 0.9304 1.000 0.000
#> 15EFBC5B-C713-4718-BB6F-0EBBE4D6997F 1 0.1843 0.9227 0.972 0.028
#> BBA00038-09B1-461D-9F8E-484890B0D130 1 0.0376 0.9296 0.996 0.004
#> 16EBB885-A692-42A6-9027-F6AD769E0ABB 1 0.0000 0.9304 1.000 0.000
#> 2D57E24B-97A6-4B85-BC8F-3E02DDC6C460 2 0.9460 0.4637 0.364 0.636
#> C6E39F86-9DEF-4BCA-930B-2A3993D18901 1 0.0672 0.9284 0.992 0.008
#> 5BE4D8E9-DA18-426F-8AE6-075B15010390 1 0.0000 0.9304 1.000 0.000
#> 8E9CAAC7-31D3-473C-821C-2DAD37B44D3A 1 0.4431 0.8871 0.908 0.092
#> 368CFCA3-7BAB-4D6D-9AE1-55713A9965C1 1 0.9427 0.4761 0.640 0.360
#> 14DB79EF-DE2B-4197-AD32-F657E0655FCD 1 0.0938 0.9285 0.988 0.012
#> E73BCFCB-C5FE-4BF2-A236-B9E69711C121 1 0.0000 0.9304 1.000 0.000
#> CDAFAFEA-365B-4F25-AEC0-639B6E0CB626 1 0.0000 0.9304 1.000 0.000
#> 48A2AAEB-7F60-4284-808E-2058A531B17C 1 0.3733 0.9017 0.928 0.072
#> D4276C6F-9F0F-4F74-A85E-1E54272ADDED 1 0.4298 0.8898 0.912 0.088
#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 1 0.2043 0.9212 0.968 0.032
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 1 0.0376 0.9296 0.996 0.004
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 1 0.3733 0.8970 0.928 0.072
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 1 0.0000 0.9304 1.000 0.000
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 1 0.8443 0.6494 0.728 0.272
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 1 0.0000 0.9304 1.000 0.000
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 1 0.0000 0.9304 1.000 0.000
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 1 0.0000 0.9304 1.000 0.000
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 1 0.0000 0.9304 1.000 0.000
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 1 0.1633 0.9247 0.976 0.024
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 1 0.3114 0.9095 0.944 0.056
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 1 0.0000 0.9304 1.000 0.000
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 1 0.3879 0.8973 0.924 0.076
#> C7997523-47CF-40F0-8803-AB873E38033C 1 0.0000 0.9304 1.000 0.000
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 1 0.5629 0.8472 0.868 0.132
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 2 0.0000 0.8960 0.000 1.000
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 1 0.4431 0.8740 0.908 0.092
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 1 0.0000 0.9304 1.000 0.000
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 1 0.9998 0.0428 0.508 0.492
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 1 0.0938 0.9284 0.988 0.012
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 1 0.9460 0.4642 0.636 0.364
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 1 0.0000 0.9304 1.000 0.000
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 1 0.0000 0.9304 1.000 0.000
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.0000 0.9304 1.000 0.000
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 1 0.0000 0.9304 1.000 0.000
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 1 0.0376 0.9297 0.996 0.004
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 1 0.5519 0.8476 0.872 0.128
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 1 0.8207 0.6784 0.744 0.256
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 1 0.4298 0.8900 0.912 0.088
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 1 0.1184 0.9272 0.984 0.016
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.0000 0.9304 1.000 0.000
#> E15EAAB4-0860-4716-9922-667F604CDF12 1 0.0000 0.9304 1.000 0.000
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 1 0.1414 0.9250 0.980 0.020
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 1 0.0000 0.9304 1.000 0.000
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 1 0.4562 0.8782 0.904 0.096
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.0000 0.9304 1.000 0.000
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 1 0.5408 0.8598 0.876 0.124
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 1 0.5294 0.8633 0.880 0.120
#> E2A4C651-977F-4F40-B5EC-46DF75944141 1 0.0000 0.9304 1.000 0.000
#> 433599CC-9DF5-4494-A607-8079FFE74D95 1 0.7674 0.7303 0.776 0.224
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 1 0.1184 0.9269 0.984 0.016
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 2 0.0000 0.8960 0.000 1.000
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.0000 0.9304 1.000 0.000
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 1 0.0000 0.9304 1.000 0.000
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 1 0.0672 0.9292 0.992 0.008
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 1 0.9552 0.4371 0.624 0.376
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 2 0.5629 0.8324 0.132 0.868
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 2 0.0000 0.8960 0.000 1.000
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 1 0.3114 0.9097 0.944 0.056
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 1 0.0376 0.9297 0.996 0.004
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 1 0.9522 0.4442 0.628 0.372
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.0000 0.9304 1.000 0.000
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 2 0.6973 0.7770 0.188 0.812
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.0000 0.9304 1.000 0.000
#> 057B580C-13FD-4185-943C-9DD5266B8554 1 0.0376 0.9297 0.996 0.004
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 1 0.2236 0.9176 0.964 0.036
#> 287F3696-25CF-4E67-A934-E50856AD4790 2 0.9460 0.4637 0.364 0.636
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 1 0.3733 0.8995 0.928 0.072
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 1 0.0000 0.9304 1.000 0.000
#> B80A74AB-A264-4396-93F8-FD976DBC1456 2 0.0000 0.8960 0.000 1.000
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 1 0.1184 0.9272 0.984 0.016
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.0000 0.9304 1.000 0.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.0000 0.9304 1.000 0.000
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 1 0.8608 0.6332 0.716 0.284
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 2 0.9170 0.5440 0.332 0.668
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 1 0.3879 0.8975 0.924 0.076
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.0000 0.9304 1.000 0.000
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 1 0.0000 0.9304 1.000 0.000
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 1 0.4022 0.8950 0.920 0.080
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.0000 0.9304 1.000 0.000
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 1 0.0000 0.9304 1.000 0.000
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 1 0.2043 0.9205 0.968 0.032
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 1 0.0938 0.9285 0.988 0.012
#> DD292494-92A2-43CB-B59B-726B2F429B29 1 0.0000 0.9304 1.000 0.000
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.0376 0.9298 0.996 0.004
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 1 0.0000 0.9304 1.000 0.000
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 1 0.4939 0.8734 0.892 0.108
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 1 0.0000 0.9304 1.000 0.000
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 1 0.0376 0.9298 0.996 0.004
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.4431 0.8740 0.908 0.092
#> 74CF740D-201D-4070-99B9-F007E7C4D472 1 0.0000 0.9304 1.000 0.000
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 1 0.0000 0.9304 1.000 0.000
#> 78F28873-E471-497A-9405-FB8955808599 1 0.9954 0.1933 0.540 0.460
#> 29294D9A-434B-4581-9591-63D16107C7B1 1 0.5294 0.8644 0.880 0.120
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 1 0.4298 0.8901 0.912 0.088
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 1 0.3584 0.9019 0.932 0.068
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 1 0.9953 0.1144 0.380 0.320 0.300
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.4784 0.5988 0.796 0.200 0.004
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 2 0.0592 0.8641 0.012 0.988 0.000
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.6225 0.5889 0.568 0.432 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 2 0.6235 -0.2256 0.436 0.564 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.5835 0.6912 0.660 0.340 0.000
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.3989 0.7977 0.012 0.864 0.124
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.3965 0.7875 0.008 0.860 0.132
#> 18971368-40F0-42D3-B1A3-707850C53B18 2 0.2878 0.8061 0.096 0.904 0.000
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 2 0.3038 0.7860 0.104 0.896 0.000
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 2 0.1015 0.8651 0.008 0.980 0.012
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 2 0.7072 0.0594 0.020 0.504 0.476
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 2 0.1964 0.8469 0.056 0.944 0.000
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 2 0.0892 0.8630 0.020 0.980 0.000
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.5254 0.6748 0.736 0.264 0.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 3 0.0000 0.8370 0.000 0.000 1.000
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 2 0.0424 0.8627 0.008 0.992 0.000
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 2 0.0424 0.8626 0.008 0.992 0.000
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.5948 0.6800 0.640 0.360 0.000
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.5254 0.6748 0.736 0.264 0.000
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 2 0.2356 0.8449 0.000 0.928 0.072
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 2 0.4068 0.8026 0.016 0.864 0.120
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 2 0.1529 0.8541 0.040 0.960 0.000
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 1 0.1182 0.2772 0.976 0.012 0.012
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 2 0.0829 0.8637 0.012 0.984 0.004
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 2 0.3941 0.7115 0.156 0.844 0.000
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.5785 0.6925 0.668 0.332 0.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 2 0.0848 0.8650 0.008 0.984 0.008
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.3682 0.8030 0.008 0.876 0.116
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 3 0.0237 0.8354 0.004 0.000 0.996
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 2 0.0424 0.8626 0.008 0.992 0.000
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.3771 0.8089 0.012 0.876 0.112
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.5098 0.6626 0.752 0.248 0.000
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 2 0.1031 0.8651 0.000 0.976 0.024
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 2 0.3213 0.8059 0.092 0.900 0.008
#> BE56F908-42DD-4019-A8AC-48884DA788B1 2 0.0829 0.8655 0.004 0.984 0.012
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 2 0.4861 0.6998 0.008 0.800 0.192
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 2 0.0747 0.8641 0.016 0.984 0.000
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 2 0.9456 -0.1314 0.320 0.480 0.200
#> 791D9EB8-42E0-4192-B064-B1126CA14481 2 0.0424 0.8626 0.008 0.992 0.000
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 2 0.4475 0.7729 0.016 0.840 0.144
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 2 0.4068 0.8026 0.016 0.864 0.120
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.5431 0.6871 0.716 0.284 0.000
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 2 0.6244 -0.2339 0.440 0.560 0.000
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 1 0.9947 0.1095 0.384 0.316 0.300
#> D47C7B74-BB01-4614-B683-652F7130729C 2 0.3459 0.8230 0.012 0.892 0.096
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 2 0.0000 0.8616 0.000 1.000 0.000
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 2 0.0424 0.8627 0.008 0.992 0.000
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 2 0.6154 -0.1038 0.408 0.592 0.000
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.3325 0.8378 0.020 0.904 0.076
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.5254 0.6748 0.736 0.264 0.000
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 2 0.0000 0.8616 0.000 1.000 0.000
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 2 0.2584 0.8446 0.008 0.928 0.064
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 3 0.1315 0.8313 0.008 0.020 0.972
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 1 0.5551 0.5983 0.768 0.212 0.020
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 1 0.6111 0.6419 0.604 0.396 0.000
#> 58F11B66-AE40-417E-B465-811C6CF7311C 2 0.3879 0.7142 0.152 0.848 0.000
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.6215 0.6008 0.572 0.428 0.000
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#> 5BE4D8E9-DA18-426F-8AE6-075B15010390 2 0.1411 0.8585 0.036 0.964 0.000
#> 8E9CAAC7-31D3-473C-821C-2DAD37B44D3A 2 0.3293 0.8316 0.012 0.900 0.088
#> 368CFCA3-7BAB-4D6D-9AE1-55713A9965C1 2 0.9907 -0.2922 0.312 0.400 0.288
#> 14DB79EF-DE2B-4197-AD32-F657E0655FCD 2 0.1015 0.8657 0.008 0.980 0.012
#> E73BCFCB-C5FE-4BF2-A236-B9E69711C121 2 0.0592 0.8633 0.012 0.988 0.000
#> CDAFAFEA-365B-4F25-AEC0-639B6E0CB626 2 0.0000 0.8616 0.000 1.000 0.000
#> 48A2AAEB-7F60-4284-808E-2058A531B17C 2 0.2774 0.8464 0.008 0.920 0.072
#> D4276C6F-9F0F-4F74-A85E-1E54272ADDED 2 0.3207 0.8331 0.012 0.904 0.084
#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 2 0.1525 0.8595 0.004 0.964 0.032
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 2 0.0475 0.8637 0.004 0.992 0.004
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 2 0.3764 0.8222 0.040 0.892 0.068
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 1 0.5431 0.6871 0.716 0.284 0.000
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 2 0.9440 -0.1054 0.308 0.488 0.204
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 2 0.4002 0.7007 0.160 0.840 0.000
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 2 0.6045 0.0302 0.380 0.620 0.000
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 2 0.0424 0.8639 0.008 0.992 0.000
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 2 0.0424 0.8626 0.008 0.992 0.000
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 2 0.1267 0.8650 0.004 0.972 0.024
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 2 0.2280 0.8520 0.008 0.940 0.052
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 2 0.0424 0.8636 0.008 0.992 0.000
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 2 0.2774 0.8402 0.008 0.920 0.072
#> C7997523-47CF-40F0-8803-AB873E38033C 2 0.0424 0.8626 0.008 0.992 0.000
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 2 0.5069 0.7551 0.044 0.828 0.128
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 3 0.0000 0.8370 0.000 0.000 1.000
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 1 0.1182 0.2772 0.976 0.012 0.012
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 1 0.5431 0.6871 0.716 0.284 0.000
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 2 0.6683 0.0303 0.008 0.500 0.492
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 2 0.0592 0.8647 0.000 0.988 0.012
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 1 0.9942 0.1297 0.380 0.332 0.288
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 2 0.0592 0.8622 0.012 0.988 0.000
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 2 0.1289 0.8620 0.032 0.968 0.000
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.5254 0.6748 0.736 0.264 0.000
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 2 0.1031 0.8613 0.024 0.976 0.000
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 2 0.6509 -0.3467 0.472 0.524 0.004
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 2 0.4662 0.7702 0.032 0.844 0.124
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 2 0.7634 0.4393 0.100 0.668 0.232
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 2 0.3445 0.8302 0.016 0.896 0.088
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 2 0.0983 0.8646 0.004 0.980 0.016
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.5327 0.6803 0.728 0.272 0.000
#> E15EAAB4-0860-4716-9922-667F604CDF12 2 0.1031 0.8634 0.024 0.976 0.000
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 2 0.1781 0.8633 0.020 0.960 0.020
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 2 0.0892 0.8636 0.020 0.980 0.000
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 2 0.6171 0.6613 0.144 0.776 0.080
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.5650 0.6936 0.688 0.312 0.000
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 2 0.3755 0.8023 0.008 0.872 0.120
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 2 0.3682 0.8043 0.008 0.876 0.116
#> E2A4C651-977F-4F40-B5EC-46DF75944141 2 0.1163 0.8602 0.028 0.972 0.000
#> 433599CC-9DF5-4494-A607-8079FFE74D95 1 0.9560 0.4979 0.452 0.344 0.204
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 2 0.1015 0.8665 0.008 0.980 0.012
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 3 0.0237 0.8354 0.004 0.000 0.996
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.5560 0.6925 0.700 0.300 0.000
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 2 0.0237 0.8618 0.004 0.996 0.000
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 2 0.3129 0.8182 0.088 0.904 0.008
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 1 0.9953 0.1144 0.380 0.320 0.300
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 3 0.3715 0.7345 0.004 0.128 0.868
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 3 0.0237 0.8354 0.004 0.000 0.996
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.2280 0.8537 0.008 0.940 0.052
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 2 0.0829 0.8645 0.012 0.984 0.004
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.6529 0.3546 0.012 0.620 0.368
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.6215 0.6008 0.572 0.428 0.000
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 3 0.4575 0.6508 0.004 0.184 0.812
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.5591 0.6932 0.696 0.304 0.000
#> 057B580C-13FD-4185-943C-9DD5266B8554 2 0.0661 0.8637 0.008 0.988 0.004
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 2 0.3181 0.8375 0.064 0.912 0.024
#> 287F3696-25CF-4E67-A934-E50856AD4790 3 0.6318 0.3071 0.008 0.356 0.636
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.2680 0.8419 0.008 0.924 0.068
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 2 0.0747 0.8650 0.016 0.984 0.000
#> B80A74AB-A264-4396-93F8-FD976DBC1456 3 0.0237 0.8354 0.004 0.000 0.996
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.0983 0.8646 0.004 0.980 0.016
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 2 0.4974 0.5494 0.236 0.764 0.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.6140 0.6299 0.596 0.404 0.000
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 2 0.6698 0.4952 0.036 0.684 0.280
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 3 0.6369 0.3654 0.016 0.316 0.668
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.2774 0.8403 0.008 0.920 0.072
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.6215 0.6008 0.572 0.428 0.000
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 2 0.0747 0.8650 0.016 0.984 0.000
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.3031 0.8380 0.012 0.912 0.076
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 2 0.4974 0.5494 0.236 0.764 0.000
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.0592 0.8622 0.012 0.988 0.000
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 2 0.1525 0.8641 0.004 0.964 0.032
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 2 0.1015 0.8657 0.008 0.980 0.012
#> DD292494-92A2-43CB-B59B-726B2F429B29 2 0.0592 0.8622 0.012 0.988 0.000
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 2 0.4629 0.6562 0.188 0.808 0.004
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 2 0.0237 0.8627 0.004 0.996 0.000
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 2 0.4449 0.8018 0.040 0.860 0.100
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 2 0.0237 0.8618 0.004 0.996 0.000
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 2 0.1753 0.8567 0.048 0.952 0.000
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.1182 0.2772 0.976 0.012 0.012
#> 74CF740D-201D-4070-99B9-F007E7C4D472 2 0.1163 0.8613 0.028 0.972 0.000
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 2 0.0424 0.8626 0.008 0.992 0.000
#> 78F28873-E471-497A-9405-FB8955808599 2 0.6654 0.1430 0.008 0.536 0.456
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.4136 0.8022 0.020 0.864 0.116
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.3043 0.8332 0.008 0.908 0.084
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 2 0.2261 0.8472 0.000 0.932 0.068
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.4134 0.8812 0.012 0.084 0.844 0.060
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.4030 0.6722 0.836 0.072 0.092 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 2 0.0921 0.8519 0.028 0.972 0.000 0.000
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.4690 0.7295 0.724 0.260 0.016 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.5476 0.5518 0.584 0.396 0.020 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.3400 0.7804 0.820 0.180 0.000 0.000
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.5731 0.7593 0.056 0.760 0.128 0.056
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.5417 0.7717 0.048 0.784 0.096 0.072
#> 18971368-40F0-42D3-B1A3-707850C53B18 2 0.4332 0.7461 0.160 0.800 0.040 0.000
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 2 0.3787 0.7723 0.124 0.840 0.036 0.000
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 2 0.2040 0.8556 0.012 0.936 0.048 0.004
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 2 0.8154 -0.0920 0.040 0.424 0.136 0.400
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 2 0.4155 0.7918 0.100 0.828 0.072 0.000
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 2 0.1305 0.8525 0.036 0.960 0.004 0.000
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.2654 0.7614 0.888 0.108 0.004 0.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 4 0.0592 0.7926 0.000 0.000 0.016 0.984
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 2 0.1356 0.8545 0.008 0.960 0.032 0.000
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 2 0.1837 0.8523 0.028 0.944 0.028 0.000
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.3893 0.7708 0.796 0.196 0.008 0.000
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.2654 0.7614 0.888 0.108 0.004 0.000
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 2 0.3794 0.8326 0.032 0.868 0.068 0.032
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 2 0.5976 0.7477 0.056 0.740 0.148 0.056
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 2 0.2473 0.8371 0.080 0.908 0.012 0.000
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 1 0.4964 0.1362 0.616 0.000 0.380 0.004
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 2 0.1059 0.8518 0.012 0.972 0.016 0.000
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 2 0.4485 0.6875 0.200 0.772 0.028 0.000
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.3545 0.7823 0.828 0.164 0.008 0.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 2 0.1297 0.8538 0.016 0.964 0.020 0.000
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.5064 0.7854 0.048 0.804 0.092 0.056
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 4 0.0895 0.7874 0.004 0.000 0.020 0.976
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 2 0.1733 0.8517 0.028 0.948 0.024 0.000
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.5418 0.7740 0.052 0.780 0.116 0.052
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.2401 0.7434 0.904 0.092 0.004 0.000
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 2 0.1543 0.8549 0.008 0.956 0.032 0.004
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 2 0.3638 0.7977 0.120 0.848 0.032 0.000
#> BE56F908-42DD-4019-A8AC-48884DA788B1 2 0.1004 0.8547 0.004 0.972 0.024 0.000
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 2 0.6535 0.6705 0.052 0.708 0.132 0.108
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 2 0.2983 0.8373 0.040 0.892 0.068 0.000
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 3 0.6533 0.5448 0.036 0.288 0.632 0.044
#> 791D9EB8-42E0-4192-B064-B1126CA14481 2 0.1936 0.8531 0.028 0.940 0.032 0.000
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 2 0.6110 0.7496 0.064 0.740 0.124 0.072
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 2 0.5976 0.7477 0.056 0.740 0.148 0.056
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.2704 0.7752 0.876 0.124 0.000 0.000
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.5827 0.5420 0.568 0.396 0.036 0.000
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 3 0.4252 0.8756 0.016 0.084 0.840 0.060
#> D47C7B74-BB01-4614-B683-652F7130729C 2 0.5049 0.7961 0.056 0.800 0.108 0.036
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 2 0.1042 0.8514 0.008 0.972 0.020 0.000
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 2 0.1936 0.8524 0.028 0.940 0.032 0.000
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.6031 0.4497 0.536 0.420 0.044 0.000
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.3763 0.8372 0.036 0.856 0.100 0.008
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.2654 0.7614 0.888 0.108 0.004 0.000
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 2 0.0779 0.8513 0.004 0.980 0.016 0.000
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 2 0.4071 0.8214 0.036 0.852 0.084 0.028
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 4 0.1762 0.7808 0.004 0.004 0.048 0.944
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 1 0.4771 0.6100 0.788 0.060 0.148 0.004
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 1 0.4072 0.7367 0.748 0.252 0.000 0.000
#> 58F11B66-AE40-417E-B465-811C6CF7311C 2 0.5136 0.6124 0.224 0.728 0.048 0.000
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.4483 0.7154 0.712 0.284 0.004 0.000
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 1 0.8924 0.3689 0.480 0.224 0.196 0.100
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 2 0.1543 0.8549 0.008 0.956 0.032 0.004
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 2 0.5064 0.7854 0.048 0.804 0.092 0.056
#> 739952C6-FF36-4E34-B881-E02FE17C4012 2 0.1913 0.8507 0.040 0.940 0.020 0.000
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 1 0.5018 0.6614 0.656 0.332 0.012 0.000
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 2 0.2944 0.8520 0.044 0.900 0.052 0.004
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 2 0.5763 -0.1327 0.460 0.516 0.020 0.004
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 2 0.4093 0.7954 0.096 0.832 0.072 0.000
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 1 0.4868 0.6927 0.684 0.304 0.012 0.000
#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 2 0.3168 0.8303 0.056 0.884 0.060 0.000
#> F6B26185-139B-47A7-91EC-E885D94AC882 2 0.2555 0.8552 0.040 0.920 0.032 0.008
#> 81F30B6F-3E9A-4913-986B-C56D5F107A17 2 0.4770 0.7965 0.036 0.820 0.072 0.072
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#> 7B0BF632-79E5-46B5-AAC8-4A6D5A193449 4 0.0592 0.7926 0.000 0.000 0.016 0.984
#> 9A281EDE-FF96-4E66-AEF4-692BDFA8E99D 2 0.1798 0.8523 0.016 0.944 0.040 0.000
#> B8C2D019-00C9-4E1E-8383-4FE2FFB4D2D7 3 0.4134 0.8812 0.012 0.084 0.844 0.060
#> 39A9B95F-186B-4550-9271-001151B1A626 2 0.6446 0.6669 0.196 0.684 0.096 0.024
#> CAD6E491-88FB-4221-90E9-AC9C68AECCB0 2 0.1929 0.8502 0.024 0.940 0.036 0.000
#> 15EFBC5B-C713-4718-BB6F-0EBBE4D6997F 2 0.3229 0.8523 0.048 0.880 0.072 0.000
#> BBA00038-09B1-461D-9F8E-484890B0D130 2 0.0937 0.8513 0.012 0.976 0.012 0.000
#> 16EBB885-A692-42A6-9027-F6AD769E0ABB 2 0.5472 0.4895 0.280 0.676 0.044 0.000
#> 2D57E24B-97A6-4B85-BC8F-3E02DDC6C460 4 0.7645 0.3299 0.036 0.264 0.132 0.568
#> C6E39F86-9DEF-4BCA-930B-2A3993D18901 2 0.1624 0.8544 0.020 0.952 0.028 0.000
#> 5BE4D8E9-DA18-426F-8AE6-075B15010390 2 0.3754 0.8087 0.064 0.852 0.084 0.000
#> 8E9CAAC7-31D3-473C-821C-2DAD37B44D3A 2 0.4277 0.8144 0.024 0.840 0.092 0.044
#> 368CFCA3-7BAB-4D6D-9AE1-55713A9965C1 3 0.5507 0.7061 0.020 0.184 0.744 0.052
#> 14DB79EF-DE2B-4197-AD32-F657E0655FCD 2 0.1406 0.8544 0.016 0.960 0.024 0.000
#> E73BCFCB-C5FE-4BF2-A236-B9E69711C121 2 0.1706 0.8511 0.036 0.948 0.016 0.000
#> CDAFAFEA-365B-4F25-AEC0-639B6E0CB626 2 0.0804 0.8491 0.008 0.980 0.012 0.000
#> 48A2AAEB-7F60-4284-808E-2058A531B17C 2 0.4220 0.8336 0.040 0.836 0.108 0.016
#> D4276C6F-9F0F-4F74-A85E-1E54272ADDED 2 0.4821 0.8050 0.052 0.812 0.104 0.032
#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 2 0.2652 0.8476 0.028 0.912 0.056 0.004
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 2 0.1174 0.8519 0.012 0.968 0.020 0.000
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 2 0.4006 0.8256 0.044 0.848 0.096 0.012
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 1 0.2704 0.7752 0.876 0.124 0.000 0.000
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 3 0.6480 0.5351 0.028 0.296 0.628 0.048
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 2 0.4361 0.6676 0.208 0.772 0.020 0.000
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 1 0.6140 0.3462 0.500 0.452 0.048 0.000
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 2 0.1284 0.8512 0.024 0.964 0.012 0.000
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 2 0.1837 0.8528 0.028 0.944 0.028 0.000
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 2 0.2066 0.8557 0.028 0.940 0.024 0.008
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 2 0.3659 0.8363 0.032 0.868 0.084 0.016
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 2 0.1297 0.8554 0.016 0.964 0.020 0.000
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 2 0.4160 0.8179 0.040 0.848 0.084 0.028
#> C7997523-47CF-40F0-8803-AB873E38033C 2 0.1733 0.8547 0.028 0.948 0.024 0.000
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 2 0.6012 0.7050 0.076 0.704 0.204 0.016
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 4 0.0592 0.7926 0.000 0.000 0.016 0.984
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 1 0.4964 0.1362 0.616 0.000 0.380 0.004
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 1 0.2704 0.7752 0.876 0.124 0.000 0.000
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 4 0.8173 0.1122 0.052 0.404 0.116 0.428
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 2 0.1452 0.8539 0.008 0.956 0.036 0.000
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 3 0.4312 0.8635 0.012 0.100 0.832 0.056
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 2 0.1936 0.8561 0.028 0.940 0.032 0.000
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 2 0.2256 0.8474 0.056 0.924 0.020 0.000
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.2654 0.7614 0.888 0.108 0.004 0.000
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 2 0.1767 0.8498 0.044 0.944 0.012 0.000
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 1 0.5807 0.5802 0.596 0.364 0.040 0.000
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 2 0.5956 0.7546 0.056 0.752 0.096 0.096
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 2 0.7108 0.3797 0.076 0.580 0.312 0.032
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 2 0.4664 0.8110 0.040 0.820 0.104 0.036
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 2 0.1888 0.8555 0.016 0.940 0.044 0.000
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.2773 0.7686 0.880 0.116 0.004 0.000
#> E15EAAB4-0860-4716-9922-667F604CDF12 2 0.3229 0.8317 0.048 0.880 0.072 0.000
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 2 0.3439 0.8375 0.048 0.868 0.084 0.000
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 2 0.2996 0.8371 0.044 0.892 0.064 0.000
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 2 0.6105 0.5575 0.056 0.656 0.276 0.012
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.3074 0.7839 0.848 0.152 0.000 0.000
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 2 0.5545 0.7625 0.048 0.772 0.120 0.060
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 2 0.5064 0.7824 0.048 0.800 0.108 0.044
#> E2A4C651-977F-4F40-B5EC-46DF75944141 2 0.2142 0.8468 0.056 0.928 0.016 0.000
#> 433599CC-9DF5-4494-A607-8079FFE74D95 1 0.8716 0.4125 0.512 0.208 0.180 0.100
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 2 0.2629 0.8527 0.024 0.912 0.060 0.004
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 4 0.0657 0.7886 0.004 0.000 0.012 0.984
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.2921 0.7821 0.860 0.140 0.000 0.000
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 2 0.2032 0.8478 0.028 0.936 0.036 0.000
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 2 0.4856 0.7325 0.136 0.780 0.084 0.000
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.4134 0.8812 0.012 0.084 0.844 0.060
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 4 0.4472 0.6958 0.016 0.072 0.084 0.828
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 4 0.0336 0.7901 0.000 0.000 0.008 0.992
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.3444 0.8430 0.032 0.884 0.060 0.024
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 2 0.1182 0.8538 0.016 0.968 0.016 0.000
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.8145 0.3301 0.060 0.524 0.128 0.288
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.4483 0.7154 0.712 0.284 0.004 0.000
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 4 0.5569 0.6116 0.020 0.116 0.104 0.760
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.2973 0.7831 0.856 0.144 0.000 0.000
#> 057B580C-13FD-4185-943C-9DD5266B8554 2 0.1297 0.8522 0.020 0.964 0.016 0.000
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 2 0.4253 0.8088 0.044 0.820 0.132 0.004
#> 287F3696-25CF-4E67-A934-E50856AD4790 4 0.7645 0.3299 0.036 0.264 0.132 0.568
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.4107 0.8182 0.044 0.848 0.088 0.020
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 2 0.2751 0.8473 0.040 0.904 0.056 0.000
#> B80A74AB-A264-4396-93F8-FD976DBC1456 4 0.0336 0.7901 0.000 0.000 0.008 0.992
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.1706 0.8550 0.016 0.948 0.036 0.000
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 2 0.5442 0.3800 0.336 0.636 0.028 0.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.4468 0.7444 0.752 0.232 0.016 0.000
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 2 0.7899 0.4972 0.076 0.584 0.116 0.224
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 4 0.7487 0.3159 0.032 0.244 0.136 0.588
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.3978 0.8274 0.040 0.860 0.068 0.032
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.4483 0.7154 0.712 0.284 0.004 0.000
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 2 0.2908 0.8446 0.040 0.896 0.064 0.000
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.4354 0.8183 0.040 0.836 0.096 0.028
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 2 0.5442 0.3800 0.336 0.636 0.028 0.000
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.1936 0.8561 0.028 0.940 0.032 0.000
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 2 0.2790 0.8572 0.012 0.904 0.072 0.012
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 2 0.1510 0.8556 0.016 0.956 0.028 0.000
#> DD292494-92A2-43CB-B59B-726B2F429B29 2 0.2227 0.8516 0.036 0.928 0.036 0.000
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 2 0.5537 0.5388 0.256 0.688 0.056 0.000
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 2 0.1174 0.8504 0.020 0.968 0.012 0.000
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 2 0.5468 0.7712 0.084 0.760 0.140 0.016
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 2 0.1854 0.8560 0.012 0.940 0.048 0.000
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 2 0.3810 0.8085 0.060 0.848 0.092 0.000
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.4964 0.1362 0.616 0.000 0.380 0.004
#> 74CF740D-201D-4070-99B9-F007E7C4D472 2 0.2399 0.8492 0.048 0.920 0.032 0.000
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 2 0.1837 0.8528 0.028 0.944 0.028 0.000
#> 78F28873-E471-497A-9405-FB8955808599 2 0.8497 -0.0377 0.052 0.428 0.160 0.360
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.5532 0.7827 0.064 0.776 0.108 0.052
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.4124 0.8189 0.036 0.852 0.076 0.036
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 2 0.3697 0.8348 0.028 0.872 0.068 0.032
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.2353 0.892652 0.004 0.008 0.916 0.044 0.028
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.2747 0.694100 0.884 0.012 0.088 0.016 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 4 0.1668 0.707546 0.028 0.032 0.000 0.940 0.000
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.3805 0.740499 0.784 0.008 0.016 0.192 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.4759 0.539893 0.644 0.008 0.020 0.328 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.2389 0.789067 0.880 0.000 0.004 0.116 0.000
#> 966A3A03-3879-4816-A1E9-D805F6018836 4 0.5573 -0.036734 0.020 0.428 0.020 0.524 0.008
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 4 0.4836 0.102178 0.000 0.412 0.008 0.568 0.012
#> 18971368-40F0-42D3-B1A3-707850C53B18 4 0.5046 0.577823 0.180 0.068 0.024 0.728 0.000
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 4 0.3986 0.635378 0.136 0.036 0.020 0.808 0.000
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 4 0.2629 0.695678 0.012 0.104 0.004 0.880 0.000
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 5 0.7979 -0.514196 0.004 0.260 0.068 0.300 0.368
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 4 0.5489 0.571307 0.104 0.136 0.044 0.716 0.000
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 4 0.1911 0.708951 0.036 0.028 0.004 0.932 0.000
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.1408 0.772796 0.948 0.008 0.000 0.044 0.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 5 0.0671 0.829810 0.000 0.004 0.016 0.000 0.980
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 4 0.2511 0.708197 0.016 0.088 0.004 0.892 0.000
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 4 0.2880 0.687575 0.020 0.108 0.004 0.868 0.000
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.3010 0.783942 0.860 0.016 0.008 0.116 0.000
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.1408 0.772796 0.948 0.008 0.000 0.044 0.000
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 4 0.3920 0.526435 0.000 0.268 0.004 0.724 0.004
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 4 0.5937 0.003955 0.028 0.400 0.028 0.532 0.012
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 4 0.2732 0.700755 0.088 0.020 0.008 0.884 0.000
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 1 0.5149 0.150538 0.572 0.036 0.388 0.000 0.004
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 4 0.2172 0.705640 0.016 0.076 0.000 0.908 0.000
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 4 0.4380 0.573293 0.204 0.028 0.016 0.752 0.000
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.2477 0.791173 0.892 0.008 0.008 0.092 0.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 4 0.2416 0.703689 0.012 0.100 0.000 0.888 0.000
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 4 0.4613 0.141863 0.000 0.408 0.008 0.580 0.004
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 5 0.2464 0.814375 0.004 0.048 0.044 0.000 0.904
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 4 0.2828 0.688335 0.020 0.104 0.004 0.872 0.000
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 4 0.5352 0.009277 0.004 0.412 0.020 0.548 0.016
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.1281 0.758619 0.956 0.012 0.000 0.032 0.000
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 4 0.2644 0.695770 0.012 0.088 0.012 0.888 0.000
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 4 0.4233 0.669014 0.116 0.084 0.008 0.792 0.000
#> BE56F908-42DD-4019-A8AC-48884DA788B1 4 0.2228 0.701565 0.012 0.068 0.008 0.912 0.000
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 2 0.5452 0.515855 0.004 0.508 0.040 0.444 0.004
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 4 0.4445 0.623353 0.032 0.148 0.040 0.780 0.000
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 3 0.5322 0.475712 0.012 0.044 0.688 0.240 0.016
#> 791D9EB8-42E0-4192-B064-B1126CA14481 4 0.2932 0.687411 0.020 0.112 0.004 0.864 0.000
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 4 0.6333 0.040520 0.020 0.376 0.028 0.532 0.044
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 4 0.5937 0.003955 0.028 0.400 0.028 0.532 0.012
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.1341 0.783864 0.944 0.000 0.000 0.056 0.000
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.5254 0.497118 0.612 0.028 0.020 0.340 0.000
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 3 0.2478 0.889168 0.008 0.008 0.912 0.044 0.028
#> D47C7B74-BB01-4614-B683-652F7130729C 4 0.5441 0.257788 0.024 0.364 0.012 0.588 0.012
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 4 0.1243 0.701797 0.008 0.028 0.004 0.960 0.000
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 4 0.2835 0.706724 0.036 0.080 0.004 0.880 0.000
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.5649 0.405648 0.564 0.040 0.024 0.372 0.000
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 4 0.4887 0.619787 0.012 0.176 0.068 0.740 0.004
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.1408 0.772796 0.948 0.008 0.000 0.044 0.000
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#> E013D176-4FCB-4DF5-93F0-72803590B677 3 0.2353 0.892652 0.004 0.008 0.916 0.044 0.028
#> D0CCA6E0-8557-491C-AB82-289DF53E57FA 4 0.2270 0.708045 0.020 0.076 0.000 0.904 0.000
#> 933DB910-2728-4DC4-840E-B0CD1F13A421 4 0.7814 -0.411163 0.028 0.248 0.328 0.376 0.020
#> 93910528-D681-4C69-86FD-326293B2F1C1 4 0.3860 0.678454 0.024 0.124 0.032 0.820 0.000
#> 3C9FDA2A-01C8-4F17-BBF1-5CAEAE3764D4 4 0.5042 0.595795 0.056 0.144 0.052 0.748 0.000
#> 8879C57E-8876-462F-810E-EE07C2F541AD 2 0.5452 0.515855 0.004 0.508 0.040 0.444 0.004
#> 130C8FBD-8D78-4212-8DD6-301EDFA339A9 4 0.1978 0.710167 0.024 0.044 0.004 0.928 0.000
#> 6C1FF3E9-0A8B-4B02-B0E9-EEF333E53592 4 0.3845 0.581747 0.012 0.224 0.004 0.760 0.000
#> 726497B7-C557-4D5C-A926-6DDA6136C899 4 0.4434 0.325623 0.000 0.348 0.008 0.640 0.004
#> 2299CD19-BF08-404C-B1BF-B570F12CCEF8 4 0.4351 0.571258 0.028 0.244 0.004 0.724 0.000
#> E8BCBDC5-E34E-422F-86C2-A4B30400EC86 3 0.5358 0.455730 0.008 0.044 0.680 0.248 0.020
#> B9EF0525-8B4A-4306-B06B-35AC457F5F48 4 0.2932 0.702355 0.020 0.112 0.004 0.864 0.000
#> F663E106-4E34-46C8-9CD9-AE5E9B8B27F0 2 0.5452 0.515855 0.004 0.508 0.040 0.444 0.004
#> 94E26CD5-238B-4D8C-B8E8-A62C44EB2B41 4 0.4358 0.464072 0.012 0.284 0.008 0.696 0.000
#> 135743C3-829E-46DC-BBA9-FF07C8067612 1 0.1408 0.772796 0.948 0.008 0.000 0.044 0.000
#> CBD7775A-2802-4EB7-9F62-6B80D7667AED 4 0.4023 0.683629 0.092 0.076 0.016 0.816 0.000
#> BD6DAD3D-2D5F-4560-9A4C-70D8A1D49732 1 0.1701 0.748445 0.944 0.012 0.016 0.028 0.000
#> ED86F92E-6B39-4C0C-9A60-870984F53C4D 1 0.1787 0.772985 0.936 0.004 0.016 0.044 0.000
#> CD3B289F-FAE1-405F-875F-23C1D2609DFC 4 0.4629 0.559995 0.204 0.036 0.020 0.740 0.000
#> D1C0E70B-B2BB-4FE7-8DEC-B50659739BAA 4 0.5219 -0.032608 0.000 0.420 0.020 0.544 0.016
#> D2417A9C-CBF0-47F6-B20C-FB32AF632A84 4 0.2302 0.711178 0.008 0.080 0.008 0.904 0.000
#> EF5618C6-6AFB-4FB5-A32B-7946F18E9736 1 0.1952 0.792105 0.912 0.000 0.004 0.084 0.000
#> 36040CAB-FF77-4540-BB44-7961A6A54B29 5 0.7532 -0.240351 0.004 0.364 0.052 0.172 0.408
#> 3808C3A9-22DA-4DC5-9F51-884A7EF574E6 4 0.2270 0.708045 0.020 0.076 0.000 0.904 0.000
#> 24363857-9A33-40D4-8409-C17225570833 4 0.2677 0.701607 0.016 0.112 0.000 0.872 0.000
#> A57E6132-9B76-493A-A167-8462263B7CDB 4 0.4187 0.673515 0.100 0.080 0.016 0.804 0.000
#> 4C020890-E652-4DE4-B66D-5F6F71405F64 4 0.1893 0.710547 0.024 0.048 0.000 0.928 0.000
#> 90C991CD-412E-4318-96E3-EB84B868FE9F 4 0.5120 -0.038035 0.000 0.428 0.024 0.540 0.008
#> FA8E73EA-649C-43ED-854E-B9472820D1C6 4 0.1717 0.709542 0.008 0.052 0.004 0.936 0.000
#> 4D46B5DE-186A-4D35-8E1B-64701C13BC69 5 0.5065 0.720843 0.000 0.152 0.076 0.032 0.740
#> D516A82D-2F77-46B2-90F7-30BA5C78AAC8 4 0.3989 0.544048 0.004 0.260 0.008 0.728 0.000
#> 1FBD0805-13AE-4A82-8B94-640E1C921262 3 0.2593 0.878610 0.004 0.012 0.904 0.056 0.024
#> 264525A9-F7DB-4012-A93B-CF8A7626F125 5 0.2627 0.813010 0.000 0.044 0.044 0.012 0.900
#> AFF029D8-FFC9-4AA9-8049-F1E27C743F6F 4 0.2172 0.703986 0.016 0.076 0.000 0.908 0.000
#> 5B65768D-0E81-4469-9D69-69B07ED5ACD5 4 0.3453 0.679555 0.020 0.136 0.012 0.832 0.000
#> 2CB06CA6-8D1F-4BC7-99BE-66921805B8FD 4 0.5092 0.212999 0.012 0.376 0.004 0.592 0.016
#> 956357FB-9AB3-497C-BB55-9D15B486A422 4 0.1372 0.702679 0.024 0.016 0.004 0.956 0.000
#> C8F2BAD0-7124-46BF-975C-4B44BE980F93 1 0.2177 0.791546 0.908 0.004 0.008 0.080 0.000
#> E96AE267-3E23-4EA9-93E2-D92558155A17 3 0.2353 0.892652 0.004 0.008 0.916 0.044 0.028
#> 1C8DCA5B-965B-485A-83B6-5CBEB2117E47 4 0.2173 0.708738 0.016 0.052 0.012 0.920 0.000
#> DEAB79F5-336A-49B4-8046-AEE2F567FE46 1 0.4142 0.753618 0.812 0.044 0.036 0.108 0.000
#> 767FE89E-E19F-4F56-A744-CB3C5CCC085B 4 0.4030 0.673481 0.036 0.140 0.020 0.804 0.000
#> 7B0BF632-79E5-46B5-AAC8-4A6D5A193449 5 0.0671 0.829810 0.000 0.004 0.016 0.000 0.980
#> 9A281EDE-FF96-4E66-AEF4-692BDFA8E99D 4 0.3583 0.648022 0.012 0.192 0.004 0.792 0.000
#> B8C2D019-00C9-4E1E-8383-4FE2FFB4D2D7 3 0.2353 0.892652 0.004 0.008 0.916 0.044 0.028
#> 39A9B95F-186B-4550-9271-001151B1A626 4 0.6605 0.009149 0.184 0.316 0.008 0.492 0.000
#> CAD6E491-88FB-4221-90E9-AC9C68AECCB0 4 0.2634 0.704614 0.020 0.056 0.024 0.900 0.000
#> 15EFBC5B-C713-4718-BB6F-0EBBE4D6997F 4 0.4030 0.673481 0.036 0.140 0.020 0.804 0.000
#> BBA00038-09B1-461D-9F8E-484890B0D130 4 0.2006 0.703488 0.012 0.072 0.000 0.916 0.000
#> 16EBB885-A692-42A6-9027-F6AD769E0ABB 4 0.5795 0.350825 0.308 0.064 0.024 0.604 0.000
#> 2D57E24B-97A6-4B85-BC8F-3E02DDC6C460 5 0.7011 0.238761 0.004 0.320 0.052 0.112 0.512
#> C6E39F86-9DEF-4BCA-930B-2A3993D18901 4 0.3399 0.668991 0.012 0.172 0.004 0.812 0.000
#> 5BE4D8E9-DA18-426F-8AE6-075B15010390 4 0.5042 0.595795 0.056 0.144 0.052 0.748 0.000
#> 8E9CAAC7-31D3-473C-821C-2DAD37B44D3A 4 0.4565 0.327603 0.008 0.352 0.008 0.632 0.000
#> 368CFCA3-7BAB-4D6D-9AE1-55713A9965C1 3 0.4633 0.757046 0.008 0.072 0.788 0.108 0.024
#> 14DB79EF-DE2B-4197-AD32-F657E0655FCD 4 0.2444 0.703411 0.016 0.068 0.012 0.904 0.000
#> E73BCFCB-C5FE-4BF2-A236-B9E69711C121 4 0.2900 0.708664 0.040 0.064 0.012 0.884 0.000
#> CDAFAFEA-365B-4F25-AEC0-639B6E0CB626 4 0.1059 0.698973 0.008 0.020 0.004 0.968 0.000
#> 48A2AAEB-7F60-4284-808E-2058A531B17C 4 0.4945 0.539482 0.020 0.248 0.036 0.696 0.000
#> D4276C6F-9F0F-4F74-A85E-1E54272ADDED 4 0.5113 0.360807 0.020 0.324 0.008 0.636 0.012
#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 4 0.3988 0.626643 0.008 0.192 0.024 0.776 0.000
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 4 0.1648 0.701939 0.020 0.040 0.000 0.940 0.000
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 4 0.4757 0.651398 0.032 0.100 0.076 0.784 0.008
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 1 0.1341 0.783864 0.944 0.000 0.000 0.056 0.000
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 3 0.5358 0.455730 0.008 0.044 0.680 0.248 0.020
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 4 0.4235 0.559601 0.220 0.020 0.012 0.748 0.000
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 1 0.5861 0.317578 0.520 0.044 0.028 0.408 0.000
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 4 0.1461 0.705882 0.028 0.016 0.004 0.952 0.000
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 4 0.2982 0.688726 0.020 0.116 0.004 0.860 0.000
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 4 0.3203 0.683621 0.020 0.124 0.008 0.848 0.000
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 4 0.4469 0.517100 0.012 0.268 0.016 0.704 0.000
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 4 0.1588 0.707597 0.016 0.028 0.008 0.948 0.000
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 4 0.4419 0.375168 0.004 0.344 0.008 0.644 0.000
#> C7997523-47CF-40F0-8803-AB873E38033C 4 0.2824 0.693264 0.020 0.116 0.000 0.864 0.000
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 4 0.6561 0.315237 0.032 0.244 0.132 0.588 0.004
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 5 0.0671 0.829810 0.000 0.004 0.016 0.000 0.980
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 1 0.5149 0.150538 0.572 0.036 0.388 0.000 0.004
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 1 0.1341 0.783864 0.944 0.000 0.000 0.056 0.000
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 2 0.7265 0.498073 0.004 0.412 0.020 0.228 0.336
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 4 0.2420 0.697829 0.008 0.088 0.008 0.896 0.000
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 3 0.2593 0.878610 0.004 0.012 0.904 0.056 0.024
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 4 0.2932 0.702355 0.020 0.112 0.004 0.864 0.000
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 4 0.3226 0.700955 0.056 0.060 0.016 0.868 0.000
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.1408 0.772796 0.948 0.008 0.000 0.044 0.000
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 4 0.2352 0.708628 0.048 0.032 0.008 0.912 0.000
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 1 0.5350 0.553971 0.644 0.040 0.024 0.292 0.000
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 4 0.6581 0.393337 0.016 0.236 0.048 0.616 0.084
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 4 0.6965 0.047384 0.040 0.120 0.304 0.528 0.008
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 4 0.5414 0.385466 0.020 0.308 0.024 0.636 0.012
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 4 0.2835 0.689918 0.016 0.112 0.004 0.868 0.000
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.1557 0.779566 0.940 0.008 0.000 0.052 0.000
#> E15EAAB4-0860-4716-9922-667F604CDF12 4 0.4629 0.618498 0.040 0.144 0.044 0.772 0.000
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 4 0.4834 0.577079 0.016 0.224 0.044 0.716 0.000
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 4 0.4364 0.630774 0.036 0.140 0.036 0.788 0.000
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 4 0.6488 0.230007 0.032 0.096 0.280 0.584 0.008
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.1952 0.791883 0.912 0.000 0.004 0.084 0.000
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 4 0.4962 -0.016147 0.000 0.432 0.016 0.544 0.008
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 4 0.4516 0.150817 0.004 0.416 0.004 0.576 0.000
#> E2A4C651-977F-4F40-B5EC-46DF75944141 4 0.3067 0.699570 0.068 0.040 0.016 0.876 0.000
#> 433599CC-9DF5-4494-A607-8079FFE74D95 1 0.8295 0.439045 0.524 0.112 0.144 0.148 0.072
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 4 0.3682 0.692043 0.024 0.116 0.028 0.832 0.000
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 5 0.2299 0.813949 0.004 0.052 0.032 0.000 0.912
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.1608 0.790171 0.928 0.000 0.000 0.072 0.000
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 4 0.3068 0.689908 0.032 0.072 0.020 0.876 0.000
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 4 0.5969 0.507377 0.144 0.128 0.052 0.676 0.000
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.2353 0.892652 0.004 0.008 0.916 0.044 0.028
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 5 0.4431 0.761905 0.000 0.108 0.052 0.044 0.796
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 5 0.0579 0.828427 0.000 0.008 0.008 0.000 0.984
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 4 0.4464 0.544733 0.012 0.240 0.012 0.728 0.008
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 4 0.1960 0.708608 0.020 0.048 0.004 0.928 0.000
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.7885 0.609985 0.016 0.380 0.040 0.328 0.236
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.3519 0.718441 0.776 0.008 0.000 0.216 0.000
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 5 0.5290 0.706299 0.000 0.156 0.084 0.036 0.724
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.1671 0.791216 0.924 0.000 0.000 0.076 0.000
#> 057B580C-13FD-4185-943C-9DD5266B8554 4 0.2597 0.711207 0.024 0.092 0.000 0.884 0.000
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 4 0.5282 0.607292 0.032 0.132 0.096 0.736 0.004
#> 287F3696-25CF-4E67-A934-E50856AD4790 5 0.7011 0.238761 0.004 0.320 0.052 0.112 0.512
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 4 0.4387 0.384816 0.004 0.336 0.008 0.652 0.000
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 4 0.3589 0.698938 0.036 0.084 0.032 0.848 0.000
#> B80A74AB-A264-4396-93F8-FD976DBC1456 5 0.0579 0.828427 0.000 0.008 0.008 0.000 0.984
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 4 0.3010 0.686539 0.016 0.116 0.008 0.860 0.000
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 4 0.5123 0.301309 0.376 0.020 0.016 0.588 0.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.3450 0.753188 0.808 0.008 0.008 0.176 0.000
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 4 0.8061 -0.453472 0.056 0.332 0.036 0.424 0.152
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 5 0.7169 0.325432 0.000 0.212 0.104 0.128 0.556
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 4 0.4406 0.469500 0.008 0.284 0.004 0.696 0.008
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.3519 0.718441 0.776 0.008 0.000 0.216 0.000
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 4 0.3756 0.693564 0.036 0.096 0.032 0.836 0.000
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 4 0.5079 0.393297 0.020 0.316 0.012 0.644 0.008
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 4 0.5123 0.301309 0.376 0.020 0.016 0.588 0.000
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 4 0.2880 0.703530 0.020 0.108 0.004 0.868 0.000
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 4 0.3341 0.704157 0.008 0.108 0.028 0.852 0.004
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 4 0.2689 0.703084 0.016 0.084 0.012 0.888 0.000
#> DD292494-92A2-43CB-B59B-726B2F429B29 4 0.3059 0.687533 0.028 0.108 0.004 0.860 0.000
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 4 0.5983 0.388918 0.276 0.072 0.036 0.616 0.000
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 4 0.1626 0.706232 0.016 0.044 0.000 0.940 0.000
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 4 0.6135 0.512770 0.052 0.184 0.080 0.672 0.012
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 4 0.2577 0.710838 0.008 0.084 0.016 0.892 0.000
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 4 0.5170 0.596941 0.048 0.148 0.056 0.744 0.004
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.5149 0.150538 0.572 0.036 0.388 0.000 0.004
#> 74CF740D-201D-4070-99B9-F007E7C4D472 4 0.3416 0.693660 0.032 0.096 0.020 0.852 0.000
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 4 0.2932 0.689122 0.020 0.112 0.004 0.864 0.000
#> 78F28873-E471-497A-9405-FB8955808599 2 0.7182 0.485496 0.004 0.548 0.064 0.160 0.224
#> 29294D9A-434B-4581-9591-63D16107C7B1 4 0.5568 0.208283 0.024 0.376 0.012 0.572 0.016
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 4 0.4353 0.393756 0.000 0.328 0.008 0.660 0.004
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 4 0.3920 0.527653 0.000 0.268 0.004 0.724 0.004
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.1536 0.877744 0.000 0.004 0.940 0.040 0.016 NA
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#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 4 0.5618 0.486040 0.036 0.176 0.028 0.672 0.000 NA
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 4 0.6610 0.144633 0.024 0.104 0.292 0.524 0.000 NA
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.1493 0.794918 0.936 0.004 0.004 0.056 0.000 NA
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 2 0.5042 0.590672 0.012 0.544 0.012 0.408 0.004 NA
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 2 0.4601 0.537171 0.012 0.536 0.004 0.436 0.000 NA
#> E2A4C651-977F-4F40-B5EC-46DF75944141 4 0.3563 0.611145 0.076 0.056 0.020 0.836 0.000 NA
#> 433599CC-9DF5-4494-A607-8079FFE74D95 1 0.8171 0.417777 0.504 0.120 0.116 0.088 0.044 NA
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 4 0.4501 0.586248 0.000 0.124 0.028 0.748 0.000 NA
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 5 0.3183 0.791885 0.000 0.008 0.016 0.000 0.812 NA
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.1265 0.794101 0.948 0.000 0.000 0.044 0.000 NA
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 4 0.3424 0.607195 0.024 0.076 0.020 0.848 0.000 NA
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 4 0.6769 0.388179 0.144 0.160 0.040 0.580 0.000 NA
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.1536 0.877744 0.000 0.004 0.940 0.040 0.016 NA
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 5 0.4478 0.782121 0.000 0.088 0.040 0.028 0.784 NA
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 5 0.0363 0.834721 0.000 0.000 0.000 0.000 0.988 NA
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 4 0.4538 0.130758 0.016 0.336 0.004 0.628 0.000 NA
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 4 0.1964 0.617508 0.012 0.056 0.004 0.920 0.000 NA
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.7572 0.508497 0.016 0.436 0.020 0.260 0.204 NA
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.3212 0.741596 0.800 0.016 0.000 0.180 0.000 NA
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 5 0.5274 0.732964 0.000 0.136 0.068 0.016 0.712 NA
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.1219 0.794635 0.948 0.000 0.000 0.048 0.000 NA
#> 057B580C-13FD-4185-943C-9DD5266B8554 4 0.3259 0.628017 0.012 0.104 0.000 0.836 0.000 NA
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 4 0.6202 0.447009 0.012 0.152 0.084 0.620 0.000 NA
#> 287F3696-25CF-4E67-A934-E50856AD4790 5 0.7135 0.463876 0.004 0.324 0.032 0.072 0.464 NA
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 4 0.4612 -0.332162 0.016 0.456 0.008 0.516 0.000 NA
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 4 0.4605 0.605593 0.028 0.112 0.020 0.764 0.000 NA
#> B80A74AB-A264-4396-93F8-FD976DBC1456 5 0.0363 0.834721 0.000 0.000 0.000 0.000 0.988 NA
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 4 0.3441 0.569422 0.012 0.140 0.004 0.816 0.000 NA
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 4 0.5096 0.248565 0.388 0.028 0.016 0.556 0.000 NA
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.3047 0.761510 0.832 0.012 0.008 0.144 0.000 NA
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 2 0.8025 0.486329 0.044 0.356 0.016 0.328 0.072 NA
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 5 0.7408 0.526101 0.004 0.200 0.080 0.088 0.528 NA
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 4 0.4376 -0.082226 0.012 0.384 0.000 0.592 0.000 NA
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.3212 0.741596 0.800 0.016 0.000 0.180 0.000 NA
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 4 0.4747 0.598770 0.028 0.116 0.020 0.752 0.000 NA
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 4 0.5151 -0.280939 0.024 0.416 0.012 0.528 0.000 NA
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 4 0.5096 0.248565 0.388 0.028 0.016 0.556 0.000 NA
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 4 0.3943 0.587190 0.012 0.144 0.004 0.784 0.000 NA
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 4 0.3774 0.605650 0.004 0.116 0.020 0.808 0.000 NA
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 4 0.2800 0.596002 0.008 0.112 0.004 0.860 0.000 NA
#> DD292494-92A2-43CB-B59B-726B2F429B29 4 0.4430 0.565977 0.008 0.128 0.004 0.744 0.000 NA
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 4 0.6576 0.307296 0.268 0.108 0.028 0.544 0.000 NA
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 4 0.2519 0.624516 0.008 0.056 0.000 0.888 0.000 NA
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 4 0.6628 0.250377 0.044 0.220 0.056 0.584 0.004 NA
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 4 0.3217 0.622407 0.004 0.092 0.016 0.848 0.000 NA
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 4 0.6379 0.431801 0.048 0.192 0.044 0.608 0.000 NA
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.5411 0.135021 0.512 0.000 0.364 0.000 0.000 NA
#> 74CF740D-201D-4070-99B9-F007E7C4D472 4 0.4447 0.606520 0.024 0.100 0.020 0.776 0.000 NA
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 4 0.4440 0.556614 0.004 0.136 0.004 0.736 0.000 NA
#> 78F28873-E471-497A-9405-FB8955808599 2 0.7674 -0.043785 0.000 0.400 0.028 0.112 0.176 NA
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.5290 0.507834 0.028 0.492 0.008 0.448 0.004 NA
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 4 0.4721 -0.260523 0.008 0.432 0.004 0.536 0.004 NA
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 4 0.4368 0.268722 0.000 0.296 0.000 0.656 0.000 NA
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 17397 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 0.356 0.669 0.817 0.4023 0.549 0.549
#> 3 3 0.578 0.827 0.889 0.3863 0.583 0.414
#> 4 4 0.659 0.749 0.845 0.2169 0.745 0.494
#> 5 5 0.710 0.763 0.840 0.0936 0.955 0.853
#> 6 6 0.735 0.683 0.783 0.0647 0.883 0.621
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
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 2 0.0000 0.7810 0.000 1.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.0000 0.7151 1.000 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 1 0.8207 0.7795 0.744 0.256
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.0000 0.7151 1.000 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.0000 0.7151 1.000 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.0000 0.7151 1.000 0.000
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.0938 0.7782 0.012 0.988
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.9427 0.3314 0.360 0.640
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.0000 0.7151 1.000 0.000
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 1 0.8081 0.7804 0.752 0.248
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 1 0.8386 0.7713 0.732 0.268
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 2 0.0376 0.7803 0.004 0.996
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.0000 0.7151 1.000 0.000
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 1 0.8144 0.7803 0.748 0.252
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.0000 0.7151 1.000 0.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 2 0.0000 0.7810 0.000 1.000
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 1 0.9358 0.6684 0.648 0.352
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 1 0.8267 0.7771 0.740 0.260
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.0000 0.7151 1.000 0.000
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.0000 0.7151 1.000 0.000
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 1 0.9491 0.6413 0.632 0.368
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 2 0.1843 0.7720 0.028 0.972
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 1 0.8144 0.7803 0.748 0.252
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 1 0.4939 0.5942 0.892 0.108
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 1 0.8499 0.7646 0.724 0.276
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 1 0.0000 0.7151 1.000 0.000
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.0000 0.7151 1.000 0.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 1 0.8207 0.7795 0.744 0.256
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.9661 0.2456 0.392 0.608
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 2 0.0000 0.7810 0.000 1.000
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 1 0.8267 0.7771 0.740 0.260
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.8955 0.4351 0.312 0.688
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.0000 0.7151 1.000 0.000
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 2 0.9775 0.1683 0.412 0.588
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 1 0.8144 0.7803 0.748 0.252
#> BE56F908-42DD-4019-A8AC-48884DA788B1 1 0.8499 0.7646 0.724 0.276
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 1 0.9635 0.5989 0.612 0.388
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 1 0.8144 0.7803 0.748 0.252
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 2 0.8955 0.3591 0.312 0.688
#> 791D9EB8-42E0-4192-B064-B1126CA14481 1 0.9209 0.6930 0.664 0.336
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 2 0.0376 0.7803 0.004 0.996
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 2 0.2236 0.7681 0.036 0.964
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.0000 0.7151 1.000 0.000
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.0000 0.7151 1.000 0.000
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 2 0.0000 0.7810 0.000 1.000
#> D47C7B74-BB01-4614-B683-652F7130729C 2 0.0000 0.7810 0.000 1.000
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 1 0.8207 0.7795 0.744 0.256
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 1 0.9129 0.7043 0.672 0.328
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.0000 0.7151 1.000 0.000
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.9909 0.0161 0.444 0.556
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.0000 0.7151 1.000 0.000
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 1 0.8207 0.7795 0.744 0.256
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 2 0.9580 0.2822 0.380 0.620
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 2 0.0000 0.7810 0.000 1.000
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 1 0.9815 -0.0783 0.580 0.420
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 1 0.0000 0.7151 1.000 0.000
#> 58F11B66-AE40-417E-B465-811C6CF7311C 1 0.6623 0.7624 0.828 0.172
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.0000 0.7151 1.000 0.000
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 2 0.6343 0.6623 0.160 0.840
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 1 0.9170 0.6987 0.668 0.332
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 2 0.9580 0.2822 0.380 0.620
#> 739952C6-FF36-4E34-B881-E02FE17C4012 1 0.8081 0.7804 0.752 0.248
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 1 0.0000 0.7151 1.000 0.000
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 2 0.9608 0.2715 0.384 0.616
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 1 0.0000 0.7151 1.000 0.000
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 1 0.0000 0.7151 1.000 0.000
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 1 0.0000 0.7151 1.000 0.000
#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 1 0.8144 0.7803 0.748 0.252
#> F6B26185-139B-47A7-91EC-E885D94AC882 1 0.8555 0.7607 0.720 0.280
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#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.0000 0.7151 1.000 0.000
#> E15EAAB4-0860-4716-9922-667F604CDF12 1 0.8144 0.7803 0.748 0.252
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 1 0.9998 0.2796 0.508 0.492
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 1 0.8144 0.7803 0.748 0.252
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 2 0.9775 0.0793 0.412 0.588
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.0000 0.7151 1.000 0.000
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 2 0.0938 0.7782 0.012 0.988
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 2 0.9608 0.2715 0.384 0.616
#> E2A4C651-977F-4F40-B5EC-46DF75944141 1 0.7883 0.7786 0.764 0.236
#> 433599CC-9DF5-4494-A607-8079FFE74D95 2 0.9833 0.4127 0.424 0.576
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 2 0.9833 0.1154 0.424 0.576
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 2 0.0000 0.7810 0.000 1.000
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.0000 0.7151 1.000 0.000
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 1 0.8207 0.7795 0.744 0.256
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 1 0.0000 0.7151 1.000 0.000
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 2 0.0000 0.7810 0.000 1.000
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 2 0.0000 0.7810 0.000 1.000
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 2 0.0000 0.7810 0.000 1.000
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 1 0.9977 0.3555 0.528 0.472
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 1 0.8207 0.7795 0.744 0.256
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.0938 0.7782 0.012 0.988
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.0000 0.7151 1.000 0.000
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 2 0.0000 0.7810 0.000 1.000
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.0000 0.7151 1.000 0.000
#> 057B580C-13FD-4185-943C-9DD5266B8554 1 0.8443 0.7680 0.728 0.272
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 1 0.8207 0.7795 0.744 0.256
#> 287F3696-25CF-4E67-A934-E50856AD4790 2 0.0000 0.7810 0.000 1.000
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.9775 0.1684 0.412 0.588
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 1 0.8207 0.7795 0.744 0.256
#> B80A74AB-A264-4396-93F8-FD976DBC1456 2 0.0000 0.7810 0.000 1.000
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 1 0.9491 0.6413 0.632 0.368
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.0000 0.7151 1.000 0.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.0000 0.7151 1.000 0.000
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 2 0.7453 0.5981 0.212 0.788
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 2 0.0000 0.7810 0.000 1.000
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 1 0.9491 0.6413 0.632 0.368
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.0000 0.7151 1.000 0.000
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 1 0.8207 0.7795 0.744 0.256
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.0938 0.7782 0.012 0.988
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.0000 0.7151 1.000 0.000
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 1 0.9491 0.6413 0.632 0.368
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 2 0.9833 0.1151 0.424 0.576
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 1 0.8499 0.7646 0.724 0.276
#> DD292494-92A2-43CB-B59B-726B2F429B29 1 0.9044 0.7151 0.680 0.320
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.0000 0.7151 1.000 0.000
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 1 0.8207 0.7795 0.744 0.256
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 1 0.9608 0.6081 0.616 0.384
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 1 0.9087 0.7098 0.676 0.324
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 1 0.8081 0.7804 0.752 0.248
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.4939 0.5942 0.892 0.108
#> 74CF740D-201D-4070-99B9-F007E7C4D472 1 0.8207 0.7795 0.744 0.256
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 1 0.9460 0.6485 0.636 0.364
#> 78F28873-E471-497A-9405-FB8955808599 2 0.0000 0.7810 0.000 1.000
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.8443 0.5082 0.272 0.728
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.9635 0.2596 0.388 0.612
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 1 0.8499 0.7646 0.724 0.276
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.3234 0.8651 0.072 0.020 0.908
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.2356 0.9296 0.928 0.072 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 2 0.2796 0.8604 0.092 0.908 0.000
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.2356 0.9296 0.928 0.072 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.2356 0.9296 0.928 0.072 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.2356 0.9296 0.928 0.072 0.000
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.6204 0.3282 0.000 0.576 0.424
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.4931 0.7032 0.000 0.768 0.232
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.6305 0.1766 0.516 0.484 0.000
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 2 0.2796 0.8604 0.092 0.908 0.000
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 2 0.1529 0.8735 0.040 0.960 0.000
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 2 0.6305 0.1288 0.000 0.516 0.484
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.2356 0.9296 0.928 0.072 0.000
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 2 0.2796 0.8604 0.092 0.908 0.000
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.2356 0.9296 0.928 0.072 0.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 3 0.1860 0.9107 0.000 0.052 0.948
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 2 0.0000 0.8702 0.000 1.000 0.000
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 2 0.1643 0.8730 0.044 0.956 0.000
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.2356 0.9296 0.928 0.072 0.000
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.2356 0.9296 0.928 0.072 0.000
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 2 0.0000 0.8702 0.000 1.000 0.000
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 2 0.6045 0.4437 0.000 0.620 0.380
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 2 0.2796 0.8604 0.092 0.908 0.000
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 1 0.1643 0.7931 0.956 0.000 0.044
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 2 0.1289 0.8741 0.032 0.968 0.000
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 2 0.4504 0.7527 0.196 0.804 0.000
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.2356 0.9296 0.928 0.072 0.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 2 0.2796 0.8604 0.092 0.908 0.000
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.4931 0.7032 0.000 0.768 0.232
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 3 0.1860 0.9107 0.000 0.052 0.948
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 2 0.1529 0.8736 0.040 0.960 0.000
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.4931 0.7032 0.000 0.768 0.232
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.2356 0.9296 0.928 0.072 0.000
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 2 0.2356 0.8356 0.000 0.928 0.072
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 2 0.2625 0.8640 0.084 0.916 0.000
#> BE56F908-42DD-4019-A8AC-48884DA788B1 2 0.1411 0.8737 0.036 0.964 0.000
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 2 0.0000 0.8702 0.000 1.000 0.000
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 2 0.2625 0.8640 0.084 0.916 0.000
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 2 0.8401 -0.0596 0.084 0.472 0.444
#> 791D9EB8-42E0-4192-B064-B1126CA14481 2 0.0592 0.8723 0.012 0.988 0.000
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 2 0.6252 0.2663 0.000 0.556 0.444
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 2 0.5016 0.6935 0.000 0.760 0.240
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.2356 0.9296 0.928 0.072 0.000
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.2356 0.9296 0.928 0.072 0.000
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 3 0.3091 0.8645 0.072 0.016 0.912
#> D47C7B74-BB01-4614-B683-652F7130729C 3 0.3192 0.8739 0.000 0.112 0.888
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 2 0.2261 0.8686 0.068 0.932 0.000
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 2 0.0592 0.8723 0.012 0.988 0.000
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.2356 0.9296 0.928 0.072 0.000
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.2356 0.8356 0.000 0.928 0.072
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.2356 0.9296 0.928 0.072 0.000
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 2 0.2625 0.8640 0.084 0.916 0.000
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 2 0.4931 0.7032 0.000 0.768 0.232
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 3 0.1860 0.9107 0.000 0.052 0.948
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 1 0.2066 0.7735 0.940 0.000 0.060
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 1 0.2356 0.9296 0.928 0.072 0.000
#> 58F11B66-AE40-417E-B465-811C6CF7311C 2 0.2625 0.8640 0.084 0.916 0.000
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.2356 0.9296 0.928 0.072 0.000
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 2 0.2878 0.8247 0.000 0.904 0.096
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 2 0.0000 0.8702 0.000 1.000 0.000
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 2 0.4931 0.7032 0.000 0.768 0.232
#> 739952C6-FF36-4E34-B881-E02FE17C4012 2 0.2959 0.8553 0.100 0.900 0.000
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 1 0.2356 0.9296 0.928 0.072 0.000
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 2 0.2625 0.8299 0.000 0.916 0.084
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 1 0.5859 0.5451 0.656 0.344 0.000
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 1 0.2356 0.9296 0.928 0.072 0.000
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 1 0.2356 0.9296 0.928 0.072 0.000
#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 2 0.2959 0.8553 0.100 0.900 0.000
#> F6B26185-139B-47A7-91EC-E885D94AC882 2 0.1411 0.8737 0.036 0.964 0.000
#> 81F30B6F-3E9A-4913-986B-C56D5F107A17 2 0.2356 0.8356 0.000 0.928 0.072
#> 2CCB3AE1-0D27-4493-B7AE-67C60BBC1C38 3 0.1860 0.9107 0.000 0.052 0.948
#> 329665BC-B959-47C5-B831-5546F94EDAC1 2 0.1411 0.8737 0.036 0.964 0.000
#> 8D4335F6-6ACB-4E38-B9F2-A2B5B647AE90 2 0.2878 0.8580 0.096 0.904 0.000
#> D181D0D8-FD8C-4259-9B34-97224CF27E1B 2 0.2356 0.8356 0.000 0.928 0.072
#> C0C10950-ABC5-4125-A33E-5AFA2D2574B0 3 0.3941 0.8236 0.000 0.156 0.844
#> 834D12DB-0925-422C-B15B-20A60A5F658C 2 0.0000 0.8702 0.000 1.000 0.000
#> 50314689-519F-4B27-884C-7816DD64CF4E 1 0.2356 0.9296 0.928 0.072 0.000
#> 2502A23E-E168-4A78-9C14-B93FBC9715B1 1 0.1031 0.8168 0.976 0.000 0.024
#> 3F8D01A3-5449-48A1-BDBA-BFE4D908AE31 2 0.1643 0.8730 0.044 0.956 0.000
#> 1C47A87B-C033-4705-B903-DB33B8C6EC34 2 0.2625 0.8640 0.084 0.916 0.000
#> 1329E1C1-743E-4541-9081-165572D4BF47 2 0.1411 0.8737 0.036 0.964 0.000
#> 1F3F8680-EEB6-4532-B81D-51957D1EA502 1 0.2356 0.9296 0.928 0.072 0.000
#> 50F69785-8B7A-4933-85B1-8DC539ACC72A 1 0.2356 0.9296 0.928 0.072 0.000
#> 9095FDD8-EEB2-4B17-85AB-3CDAC0BEC759 2 0.2878 0.8580 0.096 0.904 0.000
#> B6BF8C22-03E4-44F0-B2EF-2A3DD6ADE7D7 2 0.4504 0.7481 0.196 0.804 0.000
#> D6A907FC-3A1B-4E3B-A440-1CE9BE9B334B 2 0.4974 0.6989 0.000 0.764 0.236
#> 02588D5D-89CB-4D0B-9E96-A0270C3FF866 2 0.4842 0.7126 0.000 0.776 0.224
#> D50BBFC7-7774-4B12-938C-8D5373C12DFC 2 0.5058 0.6884 0.000 0.756 0.244
#> 6E930060-502B-49F5-A385-9B91DEBD05E4 1 0.2356 0.9296 0.928 0.072 0.000
#> F6606A8E-ACC6-4826-9547-E0017521724D 2 0.2625 0.8640 0.084 0.916 0.000
#> 981584D3-10DB-455C-8132-E8E5F44E1222 2 0.0000 0.8702 0.000 1.000 0.000
#> 47F6E197-7164-4289-95B5-8FD305A13B4C 2 0.3686 0.8195 0.140 0.860 0.000
#> 4522D871-9379-4643-B15E-9ACB556276C4 2 0.2261 0.8695 0.068 0.932 0.000
#> 7560B2B5-6AF5-4600-9F0A-BE25CF99B6B9 2 0.3686 0.8211 0.140 0.860 0.000
#> 38F5957E-0A99-432D-8F0B-B48E03F17668 1 0.2356 0.9296 0.928 0.072 0.000
#> 7A6BBBE6-2B3B-44EB-A101-C823739AB24F 2 0.4931 0.7032 0.000 0.768 0.232
#> 0782D25A-3B14-499E-A40C-3852B3A15B8B 2 0.0000 0.8702 0.000 1.000 0.000
#> 31D4B639-D1E5-479B-AEC2-34F758F2E470 2 0.2796 0.8604 0.092 0.908 0.000
#> C49078E1-E730-4E81-8EAE-5AAAB9FA1BF5 2 0.2959 0.8259 0.000 0.900 0.100
#> 48BCD3B8-917F-4E8F-BCEA-1363570A6486 2 0.0475 0.8705 0.004 0.992 0.004
#> F3BA6259-9F68-47D0-ABDD-1272AE112CAB 2 0.4842 0.7126 0.000 0.776 0.224
#> 3CA49BB1-30F6-47F3-A751-D5601E16BDBA 2 0.0237 0.8710 0.004 0.996 0.000
#> 47747595-686A-46B5-9EF4-A4CFB85D746D 1 0.4291 0.6222 0.820 0.000 0.180
#> 87974EFF-C2DE-4930-93E3-015E6D996440 3 0.4887 0.7443 0.000 0.228 0.772
#> 7D272E6C-826D-4D02-8383-6A3D5BBF3A5F 3 0.3234 0.8651 0.072 0.020 0.908
#> 070E540B-34DB-4016-B573-84924407F57F 2 0.2878 0.8580 0.096 0.904 0.000
#> 63F4281A-4D90-4589-879E-549097FB3459 2 0.2796 0.8604 0.092 0.908 0.000
#> 93A66EA0-0C74-4342-8140-72ECB01F99A1 2 0.2625 0.8640 0.084 0.916 0.000
#> C92AD683-FD09-4DD2-A5A5-C72EA5DD9B46 2 0.1411 0.8737 0.036 0.964 0.000
#> 38D2BE9E-15D4-47BC-8FEB-55310F23825B 2 0.1031 0.8614 0.000 0.976 0.024
#> B3029936-1EEF-4378-AA28-D5B2A32CDC86 2 0.2796 0.8604 0.092 0.908 0.000
#> 9A33172F-AEEA-4B7D-9605-0C60D7872CEA 1 0.2356 0.9296 0.928 0.072 0.000
#> F2BC32E5-4117-468E-B637-9EDB6E9CC6C7 2 0.5706 0.5157 0.320 0.680 0.000
#> EC319D0D-96C5-49DB-A2C4-BB6BFED6844F 1 0.2356 0.9296 0.928 0.072 0.000
#> 8CB71499-1B35-417D-95E1-D85CE71A2D8A 2 0.2878 0.8580 0.096 0.904 0.000
#> C5986AA8-D1C7-47BB-946F-1AE00503A444 2 0.2356 0.8356 0.000 0.928 0.072
#> CDB44ECD-3F01-4865-B4CC-5190E0FB64DC 2 0.2878 0.8580 0.096 0.904 0.000
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#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.2356 0.8356 0.000 0.928 0.072
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 2 0.1860 0.8718 0.052 0.948 0.000
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.5968 0.4827 0.000 0.636 0.364
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.2356 0.9296 0.928 0.072 0.000
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 3 0.1860 0.9107 0.000 0.052 0.948
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.2356 0.9296 0.928 0.072 0.000
#> 057B580C-13FD-4185-943C-9DD5266B8554 2 0.2625 0.8644 0.084 0.916 0.000
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 2 0.2796 0.8604 0.092 0.908 0.000
#> 287F3696-25CF-4E67-A934-E50856AD4790 3 0.1860 0.9107 0.000 0.052 0.948
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.4605 0.7344 0.000 0.796 0.204
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 2 0.2625 0.8640 0.084 0.916 0.000
#> B80A74AB-A264-4396-93F8-FD976DBC1456 3 0.1860 0.9107 0.000 0.052 0.948
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.1289 0.8576 0.000 0.968 0.032
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.2356 0.9296 0.928 0.072 0.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.2356 0.9296 0.928 0.072 0.000
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 2 0.4931 0.7044 0.000 0.768 0.232
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 3 0.1860 0.9107 0.000 0.052 0.948
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.0000 0.8702 0.000 1.000 0.000
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.2356 0.9296 0.928 0.072 0.000
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 2 0.2625 0.8640 0.084 0.916 0.000
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.5397 0.6368 0.000 0.720 0.280
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.4750 0.7714 0.784 0.216 0.000
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.0000 0.8702 0.000 1.000 0.000
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 2 0.2356 0.8356 0.000 0.928 0.072
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 2 0.1411 0.8737 0.036 0.964 0.000
#> DD292494-92A2-43CB-B59B-726B2F429B29 2 0.1411 0.8737 0.036 0.964 0.000
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.6291 0.2367 0.532 0.468 0.000
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 2 0.2796 0.8604 0.092 0.908 0.000
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 2 0.2356 0.8356 0.000 0.928 0.072
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 2 0.0237 0.8710 0.004 0.996 0.000
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 2 0.5254 0.6360 0.264 0.736 0.000
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.1643 0.7931 0.956 0.000 0.044
#> 74CF740D-201D-4070-99B9-F007E7C4D472 2 0.2796 0.8604 0.092 0.908 0.000
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 2 0.0237 0.8710 0.004 0.996 0.000
#> 78F28873-E471-497A-9405-FB8955808599 3 0.1860 0.9107 0.000 0.052 0.948
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.4974 0.6984 0.000 0.764 0.236
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.3816 0.7861 0.000 0.852 0.148
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 2 0.1031 0.8734 0.024 0.976 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.3907 0.7764 0.036 0.064 0.864 0.036
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.1211 0.9706 0.960 0.000 0.000 0.040
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 4 0.1229 0.8518 0.004 0.020 0.008 0.968
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.1211 0.9706 0.960 0.000 0.000 0.040
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.1211 0.9706 0.960 0.000 0.000 0.040
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.1211 0.9706 0.960 0.000 0.000 0.040
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.0937 0.5870 0.000 0.976 0.012 0.012
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.2081 0.6868 0.000 0.916 0.000 0.084
#> 18971368-40F0-42D3-B1A3-707850C53B18 4 0.3562 0.7823 0.072 0.020 0.032 0.876
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 4 0.0188 0.8617 0.000 0.004 0.000 0.996
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 2 0.4830 0.6604 0.000 0.608 0.000 0.392
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 2 0.0937 0.5870 0.000 0.976 0.012 0.012
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.2719 0.9244 0.916 0.020 0.024 0.040
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 4 0.0188 0.8617 0.000 0.004 0.000 0.996
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.1211 0.9706 0.960 0.000 0.000 0.040
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 3 0.4564 0.8317 0.000 0.328 0.672 0.000
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 4 0.3266 0.6920 0.000 0.168 0.000 0.832
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 4 0.1211 0.8418 0.000 0.040 0.000 0.960
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.1211 0.9706 0.960 0.000 0.000 0.040
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.1211 0.9706 0.960 0.000 0.000 0.040
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 2 0.4977 0.5155 0.000 0.540 0.000 0.460
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 2 0.1174 0.5996 0.000 0.968 0.012 0.020
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 4 0.0188 0.8617 0.000 0.004 0.000 0.996
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 1 0.0376 0.9244 0.992 0.004 0.004 0.000
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 4 0.1211 0.8418 0.000 0.040 0.000 0.960
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 4 0.1576 0.8381 0.048 0.004 0.000 0.948
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.1211 0.9706 0.960 0.000 0.000 0.040
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 4 0.0188 0.8617 0.000 0.004 0.000 0.996
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.3356 0.7504 0.000 0.824 0.000 0.176
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 3 0.4564 0.8317 0.000 0.328 0.672 0.000
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 4 0.1792 0.8218 0.000 0.068 0.000 0.932
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.1940 0.6785 0.000 0.924 0.000 0.076
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.1211 0.9706 0.960 0.000 0.000 0.040
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 2 0.4661 0.7150 0.000 0.652 0.000 0.348
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 4 0.0188 0.8617 0.000 0.004 0.000 0.996
#> BE56F908-42DD-4019-A8AC-48884DA788B1 4 0.1211 0.8418 0.000 0.040 0.000 0.960
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 4 0.3123 0.7114 0.000 0.156 0.000 0.844
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 4 0.1911 0.8413 0.004 0.020 0.032 0.944
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 4 0.6398 0.2977 0.036 0.020 0.376 0.568
#> 791D9EB8-42E0-4192-B064-B1126CA14481 4 0.4697 0.1806 0.000 0.356 0.000 0.644
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 2 0.1059 0.5942 0.000 0.972 0.012 0.016
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 2 0.2011 0.6819 0.000 0.920 0.000 0.080
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.1211 0.9706 0.960 0.000 0.000 0.040
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.1211 0.9706 0.960 0.000 0.000 0.040
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 3 0.3619 0.7678 0.036 0.100 0.860 0.004
#> D47C7B74-BB01-4614-B683-652F7130729C 2 0.1610 0.6184 0.000 0.952 0.016 0.032
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 4 0.0336 0.8603 0.000 0.008 0.000 0.992
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 4 0.1716 0.8251 0.000 0.064 0.000 0.936
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.1211 0.9706 0.960 0.000 0.000 0.040
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.4661 0.7134 0.000 0.652 0.000 0.348
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.1211 0.9706 0.960 0.000 0.000 0.040
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 4 0.0188 0.8617 0.000 0.004 0.000 0.996
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 2 0.3356 0.7499 0.000 0.824 0.000 0.176
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 3 0.4564 0.8317 0.000 0.328 0.672 0.000
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 1 0.0592 0.9189 0.984 0.000 0.016 0.000
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 1 0.1211 0.9706 0.960 0.000 0.000 0.040
#> 58F11B66-AE40-417E-B465-811C6CF7311C 4 0.3032 0.7572 0.000 0.124 0.008 0.868
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.1211 0.9706 0.960 0.000 0.000 0.040
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 2 0.4134 0.6710 0.000 0.740 0.000 0.260
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 4 0.2921 0.7364 0.000 0.140 0.000 0.860
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 2 0.2469 0.7068 0.000 0.892 0.000 0.108
#> 739952C6-FF36-4E34-B881-E02FE17C4012 4 0.0188 0.8617 0.000 0.004 0.000 0.996
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 1 0.1211 0.9706 0.960 0.000 0.000 0.040
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 2 0.3400 0.7503 0.000 0.820 0.000 0.180
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 4 0.4304 0.5719 0.284 0.000 0.000 0.716
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 4 0.6170 0.3545 0.336 0.020 0.032 0.612
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 1 0.2530 0.8788 0.888 0.000 0.000 0.112
#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 4 0.1911 0.8413 0.004 0.020 0.032 0.944
#> F6B26185-139B-47A7-91EC-E885D94AC882 4 0.1792 0.8214 0.000 0.068 0.000 0.932
#> 81F30B6F-3E9A-4913-986B-C56D5F107A17 4 0.4981 -0.2926 0.000 0.464 0.000 0.536
#> 2CCB3AE1-0D27-4493-B7AE-67C60BBC1C38 3 0.4564 0.8317 0.000 0.328 0.672 0.000
#> 329665BC-B959-47C5-B831-5546F94EDAC1 4 0.2647 0.7648 0.000 0.120 0.000 0.880
#> 8D4335F6-6ACB-4E38-B9F2-A2B5B647AE90 4 0.0188 0.8617 0.000 0.004 0.000 0.996
#> D181D0D8-FD8C-4259-9B34-97224CF27E1B 2 0.4679 0.7103 0.000 0.648 0.000 0.352
#> C0C10950-ABC5-4125-A33E-5AFA2D2574B0 2 0.3123 0.3657 0.000 0.844 0.156 0.000
#> 834D12DB-0925-422C-B15B-20A60A5F658C 2 0.4761 0.6897 0.000 0.628 0.000 0.372
#> 50314689-519F-4B27-884C-7816DD64CF4E 1 0.1211 0.9706 0.960 0.000 0.000 0.040
#> 2502A23E-E168-4A78-9C14-B93FBC9715B1 1 0.1305 0.9664 0.960 0.000 0.004 0.036
#> 3F8D01A3-5449-48A1-BDBA-BFE4D908AE31 4 0.1398 0.8417 0.004 0.040 0.000 0.956
#> 1C47A87B-C033-4705-B903-DB33B8C6EC34 4 0.0188 0.8617 0.000 0.004 0.000 0.996
#> 1329E1C1-743E-4541-9081-165572D4BF47 4 0.2760 0.7535 0.000 0.128 0.000 0.872
#> 1F3F8680-EEB6-4532-B81D-51957D1EA502 1 0.1302 0.9663 0.956 0.000 0.000 0.044
#> 50F69785-8B7A-4933-85B1-8DC539ACC72A 1 0.1211 0.9706 0.960 0.000 0.000 0.040
#> 9095FDD8-EEB2-4B17-85AB-3CDAC0BEC759 4 0.0188 0.8607 0.004 0.000 0.000 0.996
#> B6BF8C22-03E4-44F0-B2EF-2A3DD6ADE7D7 4 0.1247 0.8521 0.004 0.012 0.016 0.968
#> D6A907FC-3A1B-4E3B-A440-1CE9BE9B334B 2 0.2704 0.7177 0.000 0.876 0.000 0.124
#> 02588D5D-89CB-4D0B-9E96-A0270C3FF866 2 0.3726 0.7623 0.000 0.788 0.000 0.212
#> D50BBFC7-7774-4B12-938C-8D5373C12DFC 2 0.1940 0.6785 0.000 0.924 0.000 0.076
#> 6E930060-502B-49F5-A385-9B91DEBD05E4 1 0.1211 0.9706 0.960 0.000 0.000 0.040
#> F6606A8E-ACC6-4826-9547-E0017521724D 4 0.0188 0.8617 0.000 0.004 0.000 0.996
#> 981584D3-10DB-455C-8132-E8E5F44E1222 4 0.4989 -0.3174 0.000 0.472 0.000 0.528
#> 47F6E197-7164-4289-95B5-8FD305A13B4C 4 0.1209 0.8477 0.032 0.004 0.000 0.964
#> 4522D871-9379-4643-B15E-9ACB556276C4 4 0.2714 0.7835 0.000 0.112 0.004 0.884
#> 7560B2B5-6AF5-4600-9F0A-BE25CF99B6B9 4 0.1109 0.8508 0.028 0.004 0.000 0.968
#> 38F5957E-0A99-432D-8F0B-B48E03F17668 1 0.1211 0.9706 0.960 0.000 0.000 0.040
#> 7A6BBBE6-2B3B-44EB-A101-C823739AB24F 2 0.2081 0.6867 0.000 0.916 0.000 0.084
#> 0782D25A-3B14-499E-A40C-3852B3A15B8B 2 0.4679 0.7102 0.000 0.648 0.000 0.352
#> 31D4B639-D1E5-479B-AEC2-34F758F2E470 4 0.1911 0.8413 0.004 0.020 0.032 0.944
#> C49078E1-E730-4E81-8EAE-5AAAB9FA1BF5 4 0.4977 -0.2505 0.000 0.460 0.000 0.540
#> 48BCD3B8-917F-4E8F-BCEA-1363570A6486 2 0.4972 0.5270 0.000 0.544 0.000 0.456
#> F3BA6259-9F68-47D0-ABDD-1272AE112CAB 2 0.3688 0.7613 0.000 0.792 0.000 0.208
#> 3CA49BB1-30F6-47F3-A751-D5601E16BDBA 4 0.4977 -0.2742 0.000 0.460 0.000 0.540
#> 47747595-686A-46B5-9EF4-A4CFB85D746D 1 0.4661 0.6184 0.728 0.016 0.256 0.000
#> 87974EFF-C2DE-4930-93E3-015E6D996440 2 0.6415 0.1289 0.000 0.612 0.288 0.100
#> 7D272E6C-826D-4D02-8383-6A3D5BBF3A5F 3 0.3907 0.7764 0.036 0.064 0.864 0.036
#> 070E540B-34DB-4016-B573-84924407F57F 4 0.0188 0.8617 0.000 0.004 0.000 0.996
#> 63F4281A-4D90-4589-879E-549097FB3459 4 0.0188 0.8617 0.000 0.004 0.000 0.996
#> 93A66EA0-0C74-4342-8140-72ECB01F99A1 4 0.0524 0.8607 0.000 0.004 0.008 0.988
#> C92AD683-FD09-4DD2-A5A5-C72EA5DD9B46 4 0.3172 0.7060 0.000 0.160 0.000 0.840
#> 38D2BE9E-15D4-47BC-8FEB-55310F23825B 2 0.4776 0.6846 0.000 0.624 0.000 0.376
#> B3029936-1EEF-4378-AA28-D5B2A32CDC86 4 0.0188 0.8617 0.000 0.004 0.000 0.996
#> 9A33172F-AEEA-4B7D-9605-0C60D7872CEA 1 0.1211 0.9706 0.960 0.000 0.000 0.040
#> F2BC32E5-4117-468E-B637-9EDB6E9CC6C7 4 0.3259 0.7998 0.056 0.020 0.032 0.892
#> EC319D0D-96C5-49DB-A2C4-BB6BFED6844F 1 0.1211 0.9706 0.960 0.000 0.000 0.040
#> 8CB71499-1B35-417D-95E1-D85CE71A2D8A 4 0.0188 0.8617 0.000 0.004 0.000 0.996
#> C5986AA8-D1C7-47BB-946F-1AE00503A444 2 0.4193 0.7594 0.000 0.732 0.000 0.268
#> CDB44ECD-3F01-4865-B4CC-5190E0FB64DC 4 0.0188 0.8617 0.000 0.004 0.000 0.996
#> 57633DCE-DC21-42AE-82EB-81F532CE9840 2 0.1661 0.6479 0.000 0.944 0.004 0.052
#> 715C1406-D224-466D-968E-46889824CD3D 4 0.1211 0.8418 0.000 0.040 0.000 0.960
#> 86A9A426-4B69-4572-9AFF-103C2724E5EA 1 0.1211 0.9706 0.960 0.000 0.000 0.040
#> A73A2348-FC50-42A5-ADF0-6647E5ECF0EA 4 0.0779 0.8564 0.016 0.004 0.000 0.980
#> 4BF75CF9-DA61-4A0B-940C-B09C7FE864F0 1 0.1211 0.9706 0.960 0.000 0.000 0.040
#> E3D18696-51D7-4BE3-A32B-3196E5F80438 1 0.1211 0.9706 0.960 0.000 0.000 0.040
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#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.1211 0.9706 0.960 0.000 0.000 0.040
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 2 0.0937 0.5870 0.000 0.976 0.012 0.012
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 2 0.3400 0.7518 0.000 0.820 0.000 0.180
#> E2A4C651-977F-4F40-B5EC-46DF75944141 4 0.1598 0.8468 0.004 0.020 0.020 0.956
#> 433599CC-9DF5-4494-A607-8079FFE74D95 2 0.4741 0.2674 0.328 0.668 0.000 0.004
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 4 0.2216 0.7990 0.000 0.092 0.000 0.908
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 3 0.4564 0.8317 0.000 0.328 0.672 0.000
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.1211 0.9706 0.960 0.000 0.000 0.040
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 4 0.1911 0.8413 0.004 0.020 0.032 0.944
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 4 0.4149 0.7459 0.108 0.020 0.032 0.840
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.3907 0.7764 0.036 0.064 0.864 0.036
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 3 0.4564 0.8317 0.000 0.328 0.672 0.000
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 3 0.4564 0.8317 0.000 0.328 0.672 0.000
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.4661 0.7134 0.000 0.652 0.000 0.348
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 4 0.1909 0.8456 0.004 0.048 0.008 0.940
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.1059 0.5942 0.000 0.972 0.012 0.016
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.1211 0.9706 0.960 0.000 0.000 0.040
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 3 0.4564 0.8317 0.000 0.328 0.672 0.000
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.1211 0.9706 0.960 0.000 0.000 0.040
#> 057B580C-13FD-4185-943C-9DD5266B8554 4 0.0188 0.8617 0.000 0.004 0.000 0.996
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 4 0.0992 0.8553 0.004 0.012 0.008 0.976
#> 287F3696-25CF-4E67-A934-E50856AD4790 2 0.4898 -0.4057 0.000 0.584 0.416 0.000
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.4008 0.7667 0.000 0.756 0.000 0.244
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 4 0.1707 0.8451 0.004 0.020 0.024 0.952
#> B80A74AB-A264-4396-93F8-FD976DBC1456 3 0.4564 0.8317 0.000 0.328 0.672 0.000
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.4761 0.6897 0.000 0.628 0.000 0.372
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 4 0.5000 -0.0806 0.500 0.000 0.000 0.500
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.1302 0.9659 0.956 0.000 0.000 0.044
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 2 0.2011 0.6824 0.000 0.920 0.000 0.080
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 3 0.4564 0.8317 0.000 0.328 0.672 0.000
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.4761 0.6897 0.000 0.628 0.000 0.372
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.1211 0.9706 0.960 0.000 0.000 0.040
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 4 0.1598 0.8468 0.004 0.020 0.020 0.956
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.2179 0.6646 0.000 0.924 0.012 0.064
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 4 0.4008 0.6114 0.244 0.000 0.000 0.756
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.4761 0.6897 0.000 0.628 0.000 0.372
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 4 0.4967 -0.2390 0.000 0.452 0.000 0.548
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 4 0.1389 0.8373 0.000 0.048 0.000 0.952
#> DD292494-92A2-43CB-B59B-726B2F429B29 4 0.2281 0.7932 0.000 0.096 0.000 0.904
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 4 0.4028 0.7542 0.100 0.020 0.032 0.848
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 4 0.0188 0.8617 0.000 0.004 0.000 0.996
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 2 0.4955 0.5570 0.000 0.556 0.000 0.444
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 4 0.1211 0.8418 0.000 0.040 0.000 0.960
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 4 0.2733 0.8212 0.032 0.020 0.032 0.916
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.0376 0.9244 0.992 0.004 0.004 0.000
#> 74CF740D-201D-4070-99B9-F007E7C4D472 4 0.0188 0.8617 0.000 0.004 0.000 0.996
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 4 0.4103 0.5037 0.000 0.256 0.000 0.744
#> 78F28873-E471-497A-9405-FB8955808599 3 0.4585 0.8292 0.000 0.332 0.668 0.000
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.1940 0.6785 0.000 0.924 0.000 0.076
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.3907 0.7654 0.000 0.768 0.000 0.232
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 4 0.4989 -0.3167 0.000 0.472 0.000 0.528
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.5630 0.8911 0.000 0.044 0.528 0.016 0.412
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.0000 0.9427 1.000 0.000 0.000 0.000 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 4 0.0771 0.8116 0.000 0.004 0.020 0.976 0.000
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.0000 0.9427 1.000 0.000 0.000 0.000 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.0000 0.9427 1.000 0.000 0.000 0.000 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.0000 0.9427 1.000 0.000 0.000 0.000 0.000
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.1872 0.7705 0.000 0.928 0.020 0.000 0.052
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.0992 0.7993 0.000 0.968 0.000 0.008 0.024
#> 18971368-40F0-42D3-B1A3-707850C53B18 4 0.3906 0.6468 0.004 0.000 0.292 0.704 0.000
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 4 0.1582 0.8199 0.000 0.028 0.028 0.944 0.000
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 2 0.4973 0.6069 0.000 0.632 0.048 0.320 0.000
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 2 0.1270 0.7716 0.000 0.948 0.000 0.000 0.052
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.6085 0.3672 0.556 0.000 0.280 0.164 0.000
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 4 0.0865 0.8192 0.000 0.024 0.004 0.972 0.000
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.0000 0.9427 1.000 0.000 0.000 0.000 0.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 5 0.1197 0.9084 0.000 0.048 0.000 0.000 0.952
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 4 0.5339 0.6245 0.000 0.176 0.152 0.672 0.000
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 4 0.3752 0.7707 0.000 0.048 0.148 0.804 0.000
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.0000 0.9427 1.000 0.000 0.000 0.000 0.000
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.0000 0.9427 1.000 0.000 0.000 0.000 0.000
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 2 0.4907 0.2593 0.000 0.488 0.024 0.488 0.000
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 2 0.1872 0.7705 0.000 0.928 0.020 0.000 0.052
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 4 0.1041 0.8216 0.000 0.032 0.004 0.964 0.000
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 1 0.1106 0.9179 0.964 0.000 0.024 0.000 0.012
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 4 0.1493 0.8189 0.000 0.028 0.024 0.948 0.000
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 4 0.1885 0.8202 0.012 0.020 0.032 0.936 0.000
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.0000 0.9427 1.000 0.000 0.000 0.000 0.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 4 0.0703 0.8202 0.000 0.024 0.000 0.976 0.000
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.1195 0.8066 0.000 0.960 0.000 0.028 0.012
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 5 0.1197 0.9084 0.000 0.048 0.000 0.000 0.952
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 4 0.4309 0.7460 0.000 0.084 0.148 0.768 0.000
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.0880 0.7891 0.000 0.968 0.000 0.000 0.032
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.0000 0.9427 1.000 0.000 0.000 0.000 0.000
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 2 0.3012 0.7931 0.000 0.852 0.024 0.124 0.000
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 4 0.3532 0.7784 0.000 0.048 0.128 0.824 0.000
#> BE56F908-42DD-4019-A8AC-48884DA788B1 4 0.1082 0.8201 0.000 0.028 0.008 0.964 0.000
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 4 0.5413 0.6112 0.000 0.172 0.164 0.664 0.000
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 4 0.3906 0.6488 0.000 0.004 0.292 0.704 0.000
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 3 0.6242 0.4139 0.000 0.020 0.556 0.320 0.104
#> 791D9EB8-42E0-4192-B064-B1126CA14481 4 0.6225 0.1301 0.000 0.368 0.148 0.484 0.000
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 2 0.1270 0.7716 0.000 0.948 0.000 0.000 0.052
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 2 0.1399 0.7915 0.000 0.952 0.020 0.000 0.028
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.0000 0.9427 1.000 0.000 0.000 0.000 0.000
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.0000 0.9427 1.000 0.000 0.000 0.000 0.000
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 3 0.5564 0.8664 0.000 0.048 0.548 0.012 0.392
#> D47C7B74-BB01-4614-B683-652F7130729C 2 0.1121 0.7797 0.000 0.956 0.000 0.000 0.044
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 4 0.1668 0.8195 0.000 0.028 0.032 0.940 0.000
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 4 0.4197 0.7563 0.000 0.076 0.148 0.776 0.000
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.0000 0.9427 1.000 0.000 0.000 0.000 0.000
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.3555 0.7595 0.000 0.824 0.124 0.052 0.000
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.0000 0.9427 1.000 0.000 0.000 0.000 0.000
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 4 0.1668 0.8195 0.000 0.028 0.032 0.940 0.000
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 2 0.0609 0.8085 0.000 0.980 0.000 0.020 0.000
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 5 0.1197 0.9084 0.000 0.048 0.000 0.000 0.952
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 1 0.1704 0.8803 0.928 0.000 0.068 0.000 0.004
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 1 0.0000 0.9427 1.000 0.000 0.000 0.000 0.000
#> 58F11B66-AE40-417E-B465-811C6CF7311C 4 0.2795 0.7792 0.000 0.100 0.028 0.872 0.000
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.0000 0.9427 1.000 0.000 0.000 0.000 0.000
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 2 0.4676 0.7165 0.000 0.728 0.020 0.220 0.032
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 4 0.2843 0.7953 0.000 0.076 0.048 0.876 0.000
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 2 0.1211 0.8057 0.000 0.960 0.000 0.024 0.016
#> 739952C6-FF36-4E34-B881-E02FE17C4012 4 0.1403 0.8206 0.000 0.024 0.024 0.952 0.000
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 1 0.0000 0.9427 1.000 0.000 0.000 0.000 0.000
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 2 0.2170 0.8096 0.000 0.924 0.020 0.036 0.020
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 4 0.3461 0.6529 0.224 0.004 0.000 0.772 0.000
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 4 0.4637 0.6144 0.036 0.000 0.292 0.672 0.000
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 1 0.2471 0.7714 0.864 0.000 0.000 0.136 0.000
#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 4 0.3752 0.6486 0.000 0.000 0.292 0.708 0.000
#> F6B26185-139B-47A7-91EC-E885D94AC882 4 0.1981 0.8184 0.000 0.028 0.048 0.924 0.000
#> 81F30B6F-3E9A-4913-986B-C56D5F107A17 2 0.4798 0.4843 0.000 0.580 0.024 0.396 0.000
#> 2CCB3AE1-0D27-4493-B7AE-67C60BBC1C38 5 0.1197 0.9084 0.000 0.048 0.000 0.000 0.952
#> 329665BC-B959-47C5-B831-5546F94EDAC1 4 0.4519 0.7287 0.000 0.100 0.148 0.752 0.000
#> 8D4335F6-6ACB-4E38-B9F2-A2B5B647AE90 4 0.3710 0.7725 0.000 0.048 0.144 0.808 0.000
#> D181D0D8-FD8C-4259-9B34-97224CF27E1B 2 0.3601 0.7705 0.000 0.820 0.052 0.128 0.000
#> C0C10950-ABC5-4125-A33E-5AFA2D2574B0 2 0.4743 -0.0592 0.000 0.512 0.016 0.000 0.472
#> 834D12DB-0925-422C-B15B-20A60A5F658C 2 0.4793 0.6650 0.000 0.684 0.056 0.260 0.000
#> 50314689-519F-4B27-884C-7816DD64CF4E 1 0.0000 0.9427 1.000 0.000 0.000 0.000 0.000
#> 2502A23E-E168-4A78-9C14-B93FBC9715B1 1 0.0000 0.9427 1.000 0.000 0.000 0.000 0.000
#> 3F8D01A3-5449-48A1-BDBA-BFE4D908AE31 4 0.0992 0.8189 0.000 0.024 0.008 0.968 0.000
#> 1C47A87B-C033-4705-B903-DB33B8C6EC34 4 0.1668 0.8195 0.000 0.028 0.032 0.940 0.000
#> 1329E1C1-743E-4541-9081-165572D4BF47 4 0.5162 0.6549 0.000 0.148 0.160 0.692 0.000
#> 1F3F8680-EEB6-4532-B81D-51957D1EA502 1 0.0955 0.9080 0.968 0.000 0.004 0.028 0.000
#> 50F69785-8B7A-4933-85B1-8DC539ACC72A 1 0.0000 0.9427 1.000 0.000 0.000 0.000 0.000
#> 9095FDD8-EEB2-4B17-85AB-3CDAC0BEC759 4 0.1399 0.8164 0.000 0.020 0.028 0.952 0.000
#> B6BF8C22-03E4-44F0-B2EF-2A3DD6ADE7D7 4 0.0451 0.8176 0.000 0.008 0.004 0.988 0.000
#> D6A907FC-3A1B-4E3B-A440-1CE9BE9B334B 2 0.2012 0.7937 0.000 0.920 0.060 0.020 0.000
#> 02588D5D-89CB-4D0B-9E96-A0270C3FF866 2 0.0609 0.8085 0.000 0.980 0.000 0.020 0.000
#> D50BBFC7-7774-4B12-938C-8D5373C12DFC 2 0.1041 0.7904 0.000 0.964 0.004 0.000 0.032
#> 6E930060-502B-49F5-A385-9B91DEBD05E4 1 0.0000 0.9427 1.000 0.000 0.000 0.000 0.000
#> F6606A8E-ACC6-4826-9547-E0017521724D 4 0.1579 0.8197 0.000 0.024 0.032 0.944 0.000
#> 981584D3-10DB-455C-8132-E8E5F44E1222 2 0.6210 0.3363 0.000 0.492 0.148 0.360 0.000
#> 47F6E197-7164-4289-95B5-8FD305A13B4C 4 0.0798 0.8201 0.008 0.016 0.000 0.976 0.000
#> 4522D871-9379-4643-B15E-9ACB556276C4 4 0.4575 0.6392 0.000 0.236 0.052 0.712 0.000
#> 7560B2B5-6AF5-4600-9F0A-BE25CF99B6B9 4 0.0898 0.8199 0.008 0.020 0.000 0.972 0.000
#> 38F5957E-0A99-432D-8F0B-B48E03F17668 1 0.0000 0.9427 1.000 0.000 0.000 0.000 0.000
#> 7A6BBBE6-2B3B-44EB-A101-C823739AB24F 2 0.1211 0.8033 0.000 0.960 0.000 0.016 0.024
#> 0782D25A-3B14-499E-A40C-3852B3A15B8B 2 0.4519 0.7172 0.000 0.752 0.148 0.100 0.000
#> 31D4B639-D1E5-479B-AEC2-34F758F2E470 4 0.3752 0.6486 0.000 0.000 0.292 0.708 0.000
#> C49078E1-E730-4E81-8EAE-5AAAB9FA1BF5 2 0.4465 0.6490 0.000 0.672 0.024 0.304 0.000
#> 48BCD3B8-917F-4E8F-BCEA-1363570A6486 2 0.5996 0.4743 0.000 0.548 0.136 0.316 0.000
#> F3BA6259-9F68-47D0-ABDD-1272AE112CAB 2 0.0880 0.8101 0.000 0.968 0.000 0.032 0.000
#> 3CA49BB1-30F6-47F3-A751-D5601E16BDBA 2 0.6225 0.3143 0.000 0.484 0.148 0.368 0.000
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#> E73BCFCB-C5FE-4BF2-A236-B9E69711C121 4 0.1579 0.8197 0.000 0.024 0.032 0.944 0.000
#> CDAFAFEA-365B-4F25-AEC0-639B6E0CB626 4 0.1668 0.8195 0.000 0.028 0.032 0.940 0.000
#> 48A2AAEB-7F60-4284-808E-2058A531B17C 2 0.0865 0.8100 0.000 0.972 0.004 0.024 0.000
#> D4276C6F-9F0F-4F74-A85E-1E54272ADDED 2 0.0992 0.7994 0.000 0.968 0.000 0.008 0.024
#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 2 0.1043 0.8098 0.000 0.960 0.000 0.040 0.000
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 4 0.2209 0.8133 0.000 0.056 0.032 0.912 0.000
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 4 0.6016 0.5306 0.000 0.004 0.216 0.600 0.180
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 1 0.0000 0.9427 1.000 0.000 0.000 0.000 0.000
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 3 0.6032 0.8651 0.000 0.044 0.528 0.040 0.388
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 4 0.1082 0.8204 0.000 0.028 0.008 0.964 0.000
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 1 0.0000 0.9427 1.000 0.000 0.000 0.000 0.000
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 4 0.1893 0.8186 0.000 0.024 0.048 0.928 0.000
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 4 0.5334 0.6178 0.000 0.180 0.148 0.672 0.000
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 2 0.4141 0.7123 0.000 0.728 0.024 0.248 0.000
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 2 0.0609 0.8085 0.000 0.980 0.000 0.020 0.000
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 4 0.0703 0.8202 0.000 0.024 0.000 0.976 0.000
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 2 0.0609 0.8073 0.000 0.980 0.000 0.020 0.000
#> C7997523-47CF-40F0-8803-AB873E38033C 4 0.6155 0.2183 0.000 0.336 0.148 0.516 0.000
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 2 0.1547 0.8013 0.000 0.948 0.004 0.016 0.032
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 5 0.1197 0.9084 0.000 0.048 0.000 0.000 0.952
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 1 0.4717 0.3528 0.584 0.000 0.396 0.000 0.020
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 1 0.0000 0.9427 1.000 0.000 0.000 0.000 0.000
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 2 0.4291 -0.0442 0.000 0.536 0.000 0.000 0.464
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 2 0.4927 0.6290 0.000 0.652 0.052 0.296 0.000
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 3 0.5708 0.9003 0.000 0.044 0.528 0.020 0.408
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 2 0.4010 0.7497 0.000 0.784 0.056 0.160 0.000
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 4 0.3074 0.7206 0.000 0.000 0.196 0.804 0.000
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.0000 0.9427 1.000 0.000 0.000 0.000 0.000
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 4 0.3086 0.7300 0.004 0.000 0.180 0.816 0.000
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 1 0.0000 0.9427 1.000 0.000 0.000 0.000 0.000
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 2 0.8325 -0.0711 0.000 0.316 0.300 0.132 0.252
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 2 0.6108 0.3873 0.000 0.508 0.136 0.356 0.000
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 2 0.0880 0.7902 0.000 0.968 0.000 0.000 0.032
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 2 0.3930 0.7549 0.000 0.792 0.056 0.152 0.000
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.0000 0.9427 1.000 0.000 0.000 0.000 0.000
#> E15EAAB4-0860-4716-9922-667F604CDF12 4 0.3906 0.6488 0.000 0.004 0.292 0.704 0.000
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 4 0.4848 0.5862 0.000 0.024 0.420 0.556 0.000
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 4 0.3906 0.6488 0.000 0.004 0.292 0.704 0.000
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 4 0.1800 0.8091 0.000 0.020 0.048 0.932 0.000
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.0000 0.9427 1.000 0.000 0.000 0.000 0.000
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 2 0.1270 0.7716 0.000 0.948 0.000 0.000 0.052
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 2 0.1300 0.8072 0.000 0.956 0.000 0.028 0.016
#> E2A4C651-977F-4F40-B5EC-46DF75944141 4 0.1430 0.7979 0.000 0.004 0.052 0.944 0.000
#> 433599CC-9DF5-4494-A607-8079FFE74D95 2 0.5418 0.4412 0.324 0.620 0.020 0.004 0.032
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 4 0.4855 0.6994 0.000 0.112 0.168 0.720 0.000
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 5 0.1197 0.9084 0.000 0.048 0.000 0.000 0.952
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.0000 0.9427 1.000 0.000 0.000 0.000 0.000
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 4 0.3906 0.6488 0.000 0.004 0.292 0.704 0.000
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 4 0.3906 0.6468 0.004 0.000 0.292 0.704 0.000
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.5708 0.9003 0.000 0.044 0.528 0.020 0.408
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 5 0.1197 0.9084 0.000 0.048 0.000 0.000 0.952
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 5 0.1197 0.9084 0.000 0.048 0.000 0.000 0.952
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.1341 0.8098 0.000 0.944 0.000 0.056 0.000
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 4 0.1216 0.8179 0.000 0.020 0.020 0.960 0.000
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.1270 0.7716 0.000 0.948 0.000 0.000 0.052
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.0000 0.9427 1.000 0.000 0.000 0.000 0.000
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 5 0.1628 0.8919 0.000 0.056 0.008 0.000 0.936
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.0000 0.9427 1.000 0.000 0.000 0.000 0.000
#> 057B580C-13FD-4185-943C-9DD5266B8554 4 0.3389 0.7822 0.000 0.048 0.116 0.836 0.000
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 4 0.3993 0.7613 0.000 0.028 0.216 0.756 0.000
#> 287F3696-25CF-4E67-A934-E50856AD4790 5 0.4183 0.4438 0.000 0.324 0.008 0.000 0.668
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.0880 0.8102 0.000 0.968 0.000 0.032 0.000
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 4 0.4243 0.7364 0.000 0.024 0.264 0.712 0.000
#> B80A74AB-A264-4396-93F8-FD976DBC1456 5 0.1197 0.9084 0.000 0.048 0.000 0.000 0.952
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.3878 0.7248 0.000 0.748 0.016 0.236 0.000
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.4227 0.2162 0.580 0.000 0.000 0.420 0.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.0000 0.9427 1.000 0.000 0.000 0.000 0.000
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 2 0.1399 0.7915 0.000 0.952 0.020 0.000 0.028
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 5 0.1597 0.8951 0.000 0.048 0.012 0.000 0.940
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.2843 0.7937 0.000 0.876 0.048 0.076 0.000
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.0000 0.9427 1.000 0.000 0.000 0.000 0.000
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 4 0.2966 0.7545 0.000 0.000 0.184 0.816 0.000
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.0880 0.7891 0.000 0.968 0.000 0.000 0.032
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 4 0.2389 0.7674 0.116 0.004 0.000 0.880 0.000
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.5088 0.6630 0.000 0.680 0.092 0.228 0.000
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 2 0.5068 0.4662 0.000 0.572 0.040 0.388 0.000
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 4 0.2221 0.8146 0.000 0.036 0.052 0.912 0.000
#> DD292494-92A2-43CB-B59B-726B2F429B29 4 0.4845 0.6946 0.000 0.128 0.148 0.724 0.000
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 4 0.3906 0.6468 0.004 0.000 0.292 0.704 0.000
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 4 0.2473 0.8110 0.000 0.032 0.072 0.896 0.000
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 2 0.4404 0.6673 0.000 0.684 0.024 0.292 0.000
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 4 0.2054 0.8167 0.000 0.028 0.052 0.920 0.000
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 4 0.3906 0.6480 0.000 0.004 0.292 0.704 0.000
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.1106 0.9179 0.964 0.000 0.024 0.000 0.012
#> 74CF740D-201D-4070-99B9-F007E7C4D472 4 0.3667 0.7742 0.000 0.048 0.140 0.812 0.000
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 4 0.5957 0.3911 0.000 0.280 0.148 0.572 0.000
#> 78F28873-E471-497A-9405-FB8955808599 5 0.1872 0.8826 0.000 0.052 0.020 0.000 0.928
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.0880 0.7891 0.000 0.968 0.000 0.000 0.032
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.1626 0.8107 0.000 0.940 0.000 0.044 0.016
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 4 0.5143 -0.0454 0.000 0.428 0.040 0.532 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.4268 0.85519 0.000 0.028 0.696 0.004 0.264 0.008
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.0000 0.95996 1.000 0.000 0.000 0.000 0.000 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 4 0.3695 0.51909 0.000 0.000 0.000 0.624 0.000 0.376
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.0405 0.95662 0.988 0.000 0.004 0.000 0.000 0.008
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.0405 0.95662 0.988 0.000 0.004 0.000 0.000 0.008
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.0405 0.95662 0.988 0.000 0.004 0.000 0.000 0.008
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.1946 0.81380 0.000 0.928 0.020 0.024 0.024 0.004
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.0260 0.83508 0.000 0.992 0.000 0.008 0.000 0.000
#> 18971368-40F0-42D3-B1A3-707850C53B18 6 0.1663 0.80983 0.000 0.000 0.000 0.088 0.000 0.912
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 4 0.3990 0.56768 0.000 0.004 0.016 0.676 0.000 0.304
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 4 0.4716 0.22607 0.000 0.376 0.044 0.576 0.000 0.004
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 2 0.0547 0.82792 0.000 0.980 0.000 0.000 0.020 0.000
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 6 0.2969 0.50365 0.224 0.000 0.000 0.000 0.000 0.776
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 4 0.3795 0.52706 0.000 0.004 0.000 0.632 0.000 0.364
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.0000 0.95996 1.000 0.000 0.000 0.000 0.000 0.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 5 0.0603 0.91244 0.000 0.000 0.004 0.000 0.980 0.016
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 4 0.2988 0.53308 0.000 0.028 0.144 0.828 0.000 0.000
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 4 0.3394 0.51884 0.000 0.000 0.200 0.776 0.000 0.024
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.0405 0.95662 0.988 0.000 0.004 0.000 0.000 0.008
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.0000 0.95996 1.000 0.000 0.000 0.000 0.000 0.000
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 4 0.5842 0.47115 0.000 0.156 0.036 0.596 0.000 0.212
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 2 0.1886 0.81411 0.000 0.928 0.024 0.024 0.024 0.000
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 4 0.4167 0.52931 0.000 0.000 0.020 0.612 0.000 0.368
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 1 0.1713 0.90795 0.928 0.000 0.044 0.000 0.000 0.028
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 4 0.4436 0.52509 0.000 0.004 0.036 0.636 0.000 0.324
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 4 0.4769 0.57106 0.008 0.000 0.068 0.652 0.000 0.272
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.0000 0.95996 1.000 0.000 0.000 0.000 0.000 0.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 4 0.3659 0.52808 0.000 0.000 0.000 0.636 0.000 0.364
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.0260 0.83508 0.000 0.992 0.000 0.008 0.000 0.000
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 5 0.0363 0.91193 0.000 0.000 0.000 0.000 0.988 0.012
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 4 0.3630 0.51178 0.000 0.020 0.196 0.772 0.000 0.012
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.0260 0.83508 0.000 0.992 0.000 0.008 0.000 0.000
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.0000 0.95996 1.000 0.000 0.000 0.000 0.000 0.000
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 2 0.3242 0.74964 0.000 0.816 0.032 0.148 0.000 0.004
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 4 0.4209 0.54804 0.000 0.000 0.104 0.736 0.000 0.160
#> BE56F908-42DD-4019-A8AC-48884DA788B1 4 0.4089 0.53210 0.000 0.004 0.012 0.632 0.000 0.352
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 4 0.3194 0.52586 0.000 0.020 0.168 0.808 0.000 0.004
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 6 0.1141 0.83774 0.000 0.000 0.000 0.052 0.000 0.948
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 3 0.5297 0.59452 0.000 0.008 0.700 0.148 0.064 0.080
#> 791D9EB8-42E0-4192-B064-B1126CA14481 4 0.4403 0.45217 0.000 0.096 0.196 0.708 0.000 0.000
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 2 0.0632 0.82676 0.000 0.976 0.000 0.000 0.024 0.000
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 2 0.1962 0.81228 0.000 0.924 0.028 0.028 0.020 0.000
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.0000 0.95996 1.000 0.000 0.000 0.000 0.000 0.000
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.0717 0.94944 0.976 0.000 0.016 0.000 0.000 0.008
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 3 0.3758 0.82676 0.000 0.024 0.740 0.000 0.232 0.004
#> D47C7B74-BB01-4614-B683-652F7130729C 2 0.0458 0.82886 0.000 0.984 0.000 0.000 0.016 0.000
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 4 0.4507 0.57374 0.000 0.004 0.064 0.680 0.000 0.252
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 4 0.2959 0.55061 0.000 0.008 0.124 0.844 0.000 0.024
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.0806 0.94705 0.972 0.000 0.020 0.000 0.000 0.008
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.4780 0.56050 0.000 0.660 0.112 0.228 0.000 0.000
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.0000 0.95996 1.000 0.000 0.000 0.000 0.000 0.000
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 4 0.4328 0.57879 0.000 0.004 0.040 0.672 0.000 0.284
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 2 0.0260 0.83508 0.000 0.992 0.000 0.008 0.000 0.000
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 5 0.0260 0.90941 0.000 0.008 0.000 0.000 0.992 0.000
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 1 0.1204 0.91480 0.944 0.000 0.056 0.000 0.000 0.000
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 1 0.0000 0.95996 1.000 0.000 0.000 0.000 0.000 0.000
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#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 4 0.4527 0.57152 0.000 0.008 0.056 0.680 0.000 0.256
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 6 0.1075 0.83936 0.000 0.000 0.000 0.048 0.000 0.952
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.1713 0.90795 0.928 0.000 0.044 0.000 0.000 0.028
#> 74CF740D-201D-4070-99B9-F007E7C4D472 4 0.3796 0.55955 0.000 0.000 0.140 0.776 0.000 0.084
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 4 0.3789 0.50217 0.000 0.040 0.196 0.760 0.000 0.004
#> 78F28873-E471-497A-9405-FB8955808599 5 0.1078 0.88965 0.000 0.008 0.016 0.012 0.964 0.000
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.0000 0.83365 0.000 1.000 0.000 0.000 0.000 0.000
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.0260 0.83508 0.000 0.992 0.000 0.008 0.000 0.000
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 4 0.5169 0.52652 0.000 0.128 0.012 0.648 0.000 0.212
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 17397 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 0.835 0.921 0.965 0.5001 0.499 0.499
#> 3 3 0.700 0.855 0.926 0.3224 0.693 0.464
#> 4 4 0.880 0.873 0.942 0.1252 0.832 0.561
#> 5 5 0.794 0.745 0.881 0.0666 0.898 0.638
#> 6 6 0.788 0.712 0.840 0.0370 0.944 0.745
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
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 2 0.0000 0.9689 0.000 1.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.0000 0.9575 1.000 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 1 0.0000 0.9575 1.000 0.000
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.0000 0.9575 1.000 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.0000 0.9575 1.000 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.0000 0.9575 1.000 0.000
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.0000 0.9689 0.000 1.000
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.0000 0.9689 0.000 1.000
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.0000 0.9575 1.000 0.000
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 1 0.0000 0.9575 1.000 0.000
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 1 0.8713 0.6223 0.708 0.292
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 2 0.0000 0.9689 0.000 1.000
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.0000 0.9575 1.000 0.000
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 1 0.0000 0.9575 1.000 0.000
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.0000 0.9575 1.000 0.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 2 0.0000 0.9689 0.000 1.000
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 2 0.0672 0.9624 0.008 0.992
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 1 0.7056 0.7756 0.808 0.192
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.0000 0.9575 1.000 0.000
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.0000 0.9575 1.000 0.000
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 2 0.0000 0.9689 0.000 1.000
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 2 0.0000 0.9689 0.000 1.000
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 1 0.0000 0.9575 1.000 0.000
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 1 0.0000 0.9575 1.000 0.000
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 2 0.9998 -0.0452 0.492 0.508
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 1 0.0000 0.9575 1.000 0.000
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.0000 0.9575 1.000 0.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 1 0.2778 0.9221 0.952 0.048
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.0000 0.9689 0.000 1.000
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 2 0.0000 0.9689 0.000 1.000
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 1 0.7299 0.7601 0.796 0.204
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.0000 0.9689 0.000 1.000
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.0000 0.9575 1.000 0.000
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 2 0.0000 0.9689 0.000 1.000
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 1 0.0000 0.9575 1.000 0.000
#> BE56F908-42DD-4019-A8AC-48884DA788B1 1 0.8861 0.6023 0.696 0.304
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 2 0.0000 0.9689 0.000 1.000
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 1 0.0000 0.9575 1.000 0.000
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 1 0.5294 0.8460 0.880 0.120
#> 791D9EB8-42E0-4192-B064-B1126CA14481 2 0.6712 0.7743 0.176 0.824
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 2 0.0000 0.9689 0.000 1.000
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 2 0.0000 0.9689 0.000 1.000
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.0000 0.9575 1.000 0.000
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.0000 0.9575 1.000 0.000
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 2 0.0000 0.9689 0.000 1.000
#> D47C7B74-BB01-4614-B683-652F7130729C 2 0.0000 0.9689 0.000 1.000
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 1 0.0000 0.9575 1.000 0.000
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 2 0.5946 0.8182 0.144 0.856
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.0000 0.9575 1.000 0.000
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.0000 0.9689 0.000 1.000
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.0000 0.9575 1.000 0.000
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 1 0.2236 0.9318 0.964 0.036
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 2 0.0000 0.9689 0.000 1.000
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 2 0.0000 0.9689 0.000 1.000
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 1 0.0000 0.9575 1.000 0.000
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 1 0.0000 0.9575 1.000 0.000
#> 58F11B66-AE40-417E-B465-811C6CF7311C 1 0.0000 0.9575 1.000 0.000
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.0000 0.9575 1.000 0.000
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 2 0.7056 0.7573 0.192 0.808
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 2 0.0000 0.9689 0.000 1.000
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 2 0.0000 0.9689 0.000 1.000
#> 739952C6-FF36-4E34-B881-E02FE17C4012 1 0.0000 0.9575 1.000 0.000
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 1 0.0000 0.9575 1.000 0.000
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 2 0.0000 0.9689 0.000 1.000
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 1 0.0000 0.9575 1.000 0.000
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 1 0.0000 0.9575 1.000 0.000
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 1 0.0000 0.9575 1.000 0.000
#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 1 0.0000 0.9575 1.000 0.000
#> F6B26185-139B-47A7-91EC-E885D94AC882 1 0.9710 0.3878 0.600 0.400
#> 81F30B6F-3E9A-4913-986B-C56D5F107A17 2 0.0000 0.9689 0.000 1.000
#> 2CCB3AE1-0D27-4493-B7AE-67C60BBC1C38 2 0.0000 0.9689 0.000 1.000
#> 329665BC-B959-47C5-B831-5546F94EDAC1 1 0.9427 0.4864 0.640 0.360
#> 8D4335F6-6ACB-4E38-B9F2-A2B5B647AE90 1 0.0000 0.9575 1.000 0.000
#> D181D0D8-FD8C-4259-9B34-97224CF27E1B 2 0.0000 0.9689 0.000 1.000
#> C0C10950-ABC5-4125-A33E-5AFA2D2574B0 2 0.0000 0.9689 0.000 1.000
#> 834D12DB-0925-422C-B15B-20A60A5F658C 2 0.0000 0.9689 0.000 1.000
#> 50314689-519F-4B27-884C-7816DD64CF4E 1 0.0000 0.9575 1.000 0.000
#> 2502A23E-E168-4A78-9C14-B93FBC9715B1 1 0.0000 0.9575 1.000 0.000
#> 3F8D01A3-5449-48A1-BDBA-BFE4D908AE31 1 0.7376 0.7547 0.792 0.208
#> 1C47A87B-C033-4705-B903-DB33B8C6EC34 1 0.0000 0.9575 1.000 0.000
#> 1329E1C1-743E-4541-9081-165572D4BF47 1 0.8267 0.6783 0.740 0.260
#> 1F3F8680-EEB6-4532-B81D-51957D1EA502 1 0.0000 0.9575 1.000 0.000
#> 50F69785-8B7A-4933-85B1-8DC539ACC72A 1 0.0000 0.9575 1.000 0.000
#> 9095FDD8-EEB2-4B17-85AB-3CDAC0BEC759 1 0.0000 0.9575 1.000 0.000
#> B6BF8C22-03E4-44F0-B2EF-2A3DD6ADE7D7 1 0.0000 0.9575 1.000 0.000
#> D6A907FC-3A1B-4E3B-A440-1CE9BE9B334B 2 0.0000 0.9689 0.000 1.000
#> 02588D5D-89CB-4D0B-9E96-A0270C3FF866 2 0.0000 0.9689 0.000 1.000
#> D50BBFC7-7774-4B12-938C-8D5373C12DFC 2 0.0000 0.9689 0.000 1.000
#> 6E930060-502B-49F5-A385-9B91DEBD05E4 1 0.0000 0.9575 1.000 0.000
#> F6606A8E-ACC6-4826-9547-E0017521724D 1 0.5946 0.8315 0.856 0.144
#> 981584D3-10DB-455C-8132-E8E5F44E1222 2 0.0000 0.9689 0.000 1.000
#> 47F6E197-7164-4289-95B5-8FD305A13B4C 1 0.0000 0.9575 1.000 0.000
#> 4522D871-9379-4643-B15E-9ACB556276C4 2 0.4298 0.8855 0.088 0.912
#> 7560B2B5-6AF5-4600-9F0A-BE25CF99B6B9 1 0.0000 0.9575 1.000 0.000
#> 38F5957E-0A99-432D-8F0B-B48E03F17668 1 0.0000 0.9575 1.000 0.000
#> 7A6BBBE6-2B3B-44EB-A101-C823739AB24F 2 0.0000 0.9689 0.000 1.000
#> 0782D25A-3B14-499E-A40C-3852B3A15B8B 2 0.0000 0.9689 0.000 1.000
#> 31D4B639-D1E5-479B-AEC2-34F758F2E470 1 0.0000 0.9575 1.000 0.000
#> C49078E1-E730-4E81-8EAE-5AAAB9FA1BF5 2 0.0000 0.9689 0.000 1.000
#> 48BCD3B8-917F-4E8F-BCEA-1363570A6486 2 0.1184 0.9554 0.016 0.984
#> F3BA6259-9F68-47D0-ABDD-1272AE112CAB 2 0.0000 0.9689 0.000 1.000
#> 3CA49BB1-30F6-47F3-A751-D5601E16BDBA 2 0.0000 0.9689 0.000 1.000
#> 47747595-686A-46B5-9EF4-A4CFB85D746D 2 0.8499 0.6264 0.276 0.724
#> 87974EFF-C2DE-4930-93E3-015E6D996440 2 0.0000 0.9689 0.000 1.000
#> 7D272E6C-826D-4D02-8383-6A3D5BBF3A5F 2 0.0000 0.9689 0.000 1.000
#> 070E540B-34DB-4016-B573-84924407F57F 1 0.0000 0.9575 1.000 0.000
#> 63F4281A-4D90-4589-879E-549097FB3459 1 0.0000 0.9575 1.000 0.000
#> 93A66EA0-0C74-4342-8140-72ECB01F99A1 1 0.7139 0.7704 0.804 0.196
#> C92AD683-FD09-4DD2-A5A5-C72EA5DD9B46 1 0.7602 0.7395 0.780 0.220
#> 38D2BE9E-15D4-47BC-8FEB-55310F23825B 2 0.0000 0.9689 0.000 1.000
#> B3029936-1EEF-4378-AA28-D5B2A32CDC86 1 0.0000 0.9575 1.000 0.000
#> 9A33172F-AEEA-4B7D-9605-0C60D7872CEA 1 0.0000 0.9575 1.000 0.000
#> F2BC32E5-4117-468E-B637-9EDB6E9CC6C7 1 0.0000 0.9575 1.000 0.000
#> EC319D0D-96C5-49DB-A2C4-BB6BFED6844F 1 0.0000 0.9575 1.000 0.000
#> 8CB71499-1B35-417D-95E1-D85CE71A2D8A 1 0.0000 0.9575 1.000 0.000
#> C5986AA8-D1C7-47BB-946F-1AE00503A444 2 0.0000 0.9689 0.000 1.000
#> CDB44ECD-3F01-4865-B4CC-5190E0FB64DC 1 0.0000 0.9575 1.000 0.000
#> 57633DCE-DC21-42AE-82EB-81F532CE9840 2 0.0000 0.9689 0.000 1.000
#> 715C1406-D224-466D-968E-46889824CD3D 1 0.6531 0.8046 0.832 0.168
#> 86A9A426-4B69-4572-9AFF-103C2724E5EA 1 0.0000 0.9575 1.000 0.000
#> A73A2348-FC50-42A5-ADF0-6647E5ECF0EA 1 0.0000 0.9575 1.000 0.000
#> 4BF75CF9-DA61-4A0B-940C-B09C7FE864F0 1 0.0000 0.9575 1.000 0.000
#> E3D18696-51D7-4BE3-A32B-3196E5F80438 1 0.0000 0.9575 1.000 0.000
#> C4C7C112-555F-46D5-8D5D-411C7737A4C9 2 0.7219 0.7461 0.200 0.800
#> 0A3E0A3D-D396-4340-8D98-4B79DBFC312C 2 0.0000 0.9689 0.000 1.000
#> 5513114D-2503-4D11-ADA4-35BE010510E5 1 0.0000 0.9575 1.000 0.000
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#> 9F4AAF98-06AC-480E-95DB-EC475663AF10 2 0.0000 0.9689 0.000 1.000
#> AFA4FB45-C83D-411B-B8D8-79C736BE56F1 2 0.7219 0.7461 0.200 0.800
#> FECFA1E7-2578-405C-A707-DA877BF4B2FF 1 0.0000 0.9575 1.000 0.000
#> 62AE773F-A6EE-4704-A2C4-096A77C47DA7 1 0.2043 0.9350 0.968 0.032
#> EE9D0C01-742E-49EB-8859-8A803D17E9F2 1 0.0000 0.9575 1.000 0.000
#> 93C284BA-155E-46C5-BF1F-3F98EDF1709C 1 0.0000 0.9575 1.000 0.000
#> D630FA02-E6CB-4AD1-BC00-8BCB1BE82365 2 0.0000 0.9689 0.000 1.000
#> 81A2D108-72B9-4397-AADE-80FB5DC2354E 1 0.0000 0.9575 1.000 0.000
#> 1C3E4F12-F2EA-4A31-888F-FC70D78A9460 2 0.0000 0.9689 0.000 1.000
#> 1DD0D00E-72AA-4BCF-9A84-9A302EAD944A 2 0.0000 0.9689 0.000 1.000
#> EF184FFA-5DF2-4043-84A0-792C2AC15157 2 0.1184 0.9554 0.016 0.984
#> ACA8E16D-0BA5-4267-8483-13E1A077022B 2 0.0000 0.9689 0.000 1.000
#> DB4FD772-CAD0-48CE-810C-7BA6C16B7580 1 0.8713 0.6244 0.708 0.292
#> 771434CA-23FF-4E0E-9DBA-EE7A127E255A 2 0.0000 0.9689 0.000 1.000
#> 4DCEC4AC-4B50-4AA9-AD1B-FFE04C70EBE7 2 0.0000 0.9689 0.000 1.000
#> C4CA479C-05D8-4151-B93E-4F410CE04BF6 1 0.1843 0.9380 0.972 0.028
#> BD755511-C2CA-45C1-AD55-5BFDB8EA89B6 1 0.0000 0.9575 1.000 0.000
#> B6752B47-317E-4C9A-8BAE-E265FFC8E755 2 0.0000 0.9689 0.000 1.000
#> D50BAB19-5050-4C27-9F6B-6CB1C865552D 2 0.1184 0.9553 0.016 0.984
#> 4664FF20-60E6-4FBD-9760-5F543F725443 2 0.0000 0.9689 0.000 1.000
#> 655B32BE-AC22-4E6C-97D2-CC6B7F06B55E 1 0.0000 0.9575 1.000 0.000
#> FCE788C2-DBF8-4083-9EA2-10A08B857E9C 2 0.0000 0.9689 0.000 1.000
#> C4438C6E-8920-482D-A4A9-84FDB3EDBF21 1 0.0000 0.9575 1.000 0.000
#> F4F8D7E7-98B9-4145-9F69-5A1684997C87 2 0.0000 0.9689 0.000 1.000
#> 433CED6F-A9DE-444E-9A11-8929A3EFEC9B 1 0.0000 0.9575 1.000 0.000
#> C3FDCD45-2013-4BA2-BEAF-5ED6A3393783 1 0.0000 0.9575 1.000 0.000
#> 9ECE4E94-28D5-4692-82D4-5B7FA882543C 1 0.0000 0.9575 1.000 0.000
#> DC7CE58E-0EA8-4DDD-8AC4-DC5D5E8E7E3B 1 0.9815 0.3361 0.580 0.420
#> 67A7E9D8-C2A0-4B52-95BD-BDB781E7A9D5 2 0.0000 0.9689 0.000 1.000
#> 21FB1823-0E28-4F50-8546-D0F0847B1733 2 0.0000 0.9689 0.000 1.000
#> 93618EAD-7723-4616-BBB2-2D65E45EE3D2 1 0.0000 0.9575 1.000 0.000
#> 4864A82F-B571-4665-82FA-9BBEF2141C99 2 0.0000 0.9689 0.000 1.000
#> A34C537D-632D-4992-958D-5B85D190382C 1 0.0000 0.9575 1.000 0.000
#> 1ACE6BB9-A332-42DD-BA4F-E9902DB413AA 2 0.0000 0.9689 0.000 1.000
#> E3C1D3D8-1C78-4C16-B0E5-56B5CCE3C6B4 1 0.0000 0.9575 1.000 0.000
#> 1B0FE71F-DD59-45F7-BA73-E8BEEB7349A8 1 0.0000 0.9575 1.000 0.000
#> 8756589A-8352-4CDA-9297-D4C146D1DF47 1 0.0000 0.9575 1.000 0.000
#> E013D176-4FCB-4DF5-93F0-72803590B677 2 0.0000 0.9689 0.000 1.000
#> D0CCA6E0-8557-491C-AB82-289DF53E57FA 1 0.6801 0.7904 0.820 0.180
#> 933DB910-2728-4DC4-840E-B0CD1F13A421 2 0.0000 0.9689 0.000 1.000
#> 93910528-D681-4C69-86FD-326293B2F1C1 1 0.2423 0.9287 0.960 0.040
#> 3C9FDA2A-01C8-4F17-BBF1-5CAEAE3764D4 1 0.0000 0.9575 1.000 0.000
#> 8879C57E-8876-462F-810E-EE07C2F541AD 2 0.0000 0.9689 0.000 1.000
#> 130C8FBD-8D78-4212-8DD6-301EDFA339A9 1 0.1184 0.9467 0.984 0.016
#> 6C1FF3E9-0A8B-4B02-B0E9-EEF333E53592 2 0.3431 0.9098 0.064 0.936
#> 726497B7-C557-4D5C-A926-6DDA6136C899 2 0.0000 0.9689 0.000 1.000
#> 2299CD19-BF08-404C-B1BF-B570F12CCEF8 2 0.0000 0.9689 0.000 1.000
#> E8BCBDC5-E34E-422F-86C2-A4B30400EC86 2 0.0000 0.9689 0.000 1.000
#> B9EF0525-8B4A-4306-B06B-35AC457F5F48 2 0.0000 0.9689 0.000 1.000
#> F663E106-4E34-46C8-9CD9-AE5E9B8B27F0 2 0.0000 0.9689 0.000 1.000
#> 94E26CD5-238B-4D8C-B8E8-A62C44EB2B41 2 0.0000 0.9689 0.000 1.000
#> 135743C3-829E-46DC-BBA9-FF07C8067612 1 0.0000 0.9575 1.000 0.000
#> CBD7775A-2802-4EB7-9F62-6B80D7667AED 1 0.0000 0.9575 1.000 0.000
#> BD6DAD3D-2D5F-4560-9A4C-70D8A1D49732 1 0.0000 0.9575 1.000 0.000
#> ED86F92E-6B39-4C0C-9A60-870984F53C4D 1 0.0000 0.9575 1.000 0.000
#> CD3B289F-FAE1-405F-875F-23C1D2609DFC 1 0.0000 0.9575 1.000 0.000
#> D1C0E70B-B2BB-4FE7-8DEC-B50659739BAA 2 0.0000 0.9689 0.000 1.000
#> D2417A9C-CBF0-47F6-B20C-FB32AF632A84 1 0.0376 0.9548 0.996 0.004
#> EF5618C6-6AFB-4FB5-A32B-7946F18E9736 1 0.0000 0.9575 1.000 0.000
#> 36040CAB-FF77-4540-BB44-7961A6A54B29 2 0.0000 0.9689 0.000 1.000
#> 3808C3A9-22DA-4DC5-9F51-884A7EF574E6 1 0.7139 0.7704 0.804 0.196
#> 24363857-9A33-40D4-8409-C17225570833 2 0.5737 0.8286 0.136 0.864
#> A57E6132-9B76-493A-A167-8462263B7CDB 1 0.0000 0.9575 1.000 0.000
#> 4C020890-E652-4DE4-B66D-5F6F71405F64 1 0.0376 0.9549 0.996 0.004
#> 90C991CD-412E-4318-96E3-EB84B868FE9F 2 0.0000 0.9689 0.000 1.000
#> FA8E73EA-649C-43ED-854E-B9472820D1C6 1 0.8763 0.6171 0.704 0.296
#> 4D46B5DE-186A-4D35-8E1B-64701C13BC69 2 0.0000 0.9689 0.000 1.000
#> D516A82D-2F77-46B2-90F7-30BA5C78AAC8 2 0.0000 0.9689 0.000 1.000
#> 1FBD0805-13AE-4A82-8B94-640E1C921262 2 0.0000 0.9689 0.000 1.000
#> 264525A9-F7DB-4012-A93B-CF8A7626F125 2 0.0000 0.9689 0.000 1.000
#> AFF029D8-FFC9-4AA9-8049-F1E27C743F6F 2 0.0000 0.9689 0.000 1.000
#> 5B65768D-0E81-4469-9D69-69B07ED5ACD5 2 0.9775 0.2645 0.412 0.588
#> 2CB06CA6-8D1F-4BC7-99BE-66921805B8FD 2 0.0000 0.9689 0.000 1.000
#> 956357FB-9AB3-497C-BB55-9D15B486A422 1 0.0000 0.9575 1.000 0.000
#> C8F2BAD0-7124-46BF-975C-4B44BE980F93 1 0.0000 0.9575 1.000 0.000
#> E96AE267-3E23-4EA9-93E2-D92558155A17 2 0.0000 0.9689 0.000 1.000
#> 1C8DCA5B-965B-485A-83B6-5CBEB2117E47 2 0.8608 0.5889 0.284 0.716
#> DEAB79F5-336A-49B4-8046-AEE2F567FE46 1 0.0000 0.9575 1.000 0.000
#> 767FE89E-E19F-4F56-A744-CB3C5CCC085B 1 0.8661 0.6325 0.712 0.288
#> 7B0BF632-79E5-46B5-AAC8-4A6D5A193449 2 0.0000 0.9689 0.000 1.000
#> 9A281EDE-FF96-4E66-AEF4-692BDFA8E99D 2 0.0000 0.9689 0.000 1.000
#> B8C2D019-00C9-4E1E-8383-4FE2FFB4D2D7 2 0.0000 0.9689 0.000 1.000
#> 39A9B95F-186B-4550-9271-001151B1A626 2 0.7219 0.7464 0.200 0.800
#> CAD6E491-88FB-4221-90E9-AC9C68AECCB0 1 0.0000 0.9575 1.000 0.000
#> 15EFBC5B-C713-4718-BB6F-0EBBE4D6997F 2 0.4022 0.8930 0.080 0.920
#> BBA00038-09B1-461D-9F8E-484890B0D130 1 0.0000 0.9575 1.000 0.000
#> 16EBB885-A692-42A6-9027-F6AD769E0ABB 1 0.0000 0.9575 1.000 0.000
#> 2D57E24B-97A6-4B85-BC8F-3E02DDC6C460 2 0.0000 0.9689 0.000 1.000
#> C6E39F86-9DEF-4BCA-930B-2A3993D18901 2 0.0000 0.9689 0.000 1.000
#> 5BE4D8E9-DA18-426F-8AE6-075B15010390 1 0.0000 0.9575 1.000 0.000
#> 8E9CAAC7-31D3-473C-821C-2DAD37B44D3A 2 0.0000 0.9689 0.000 1.000
#> 368CFCA3-7BAB-4D6D-9AE1-55713A9965C1 1 0.9866 0.2207 0.568 0.432
#> 14DB79EF-DE2B-4197-AD32-F657E0655FCD 1 0.9393 0.4954 0.644 0.356
#> E73BCFCB-C5FE-4BF2-A236-B9E69711C121 1 0.3274 0.9120 0.940 0.060
#> CDAFAFEA-365B-4F25-AEC0-639B6E0CB626 1 0.7219 0.7653 0.800 0.200
#> 48A2AAEB-7F60-4284-808E-2058A531B17C 2 0.0000 0.9689 0.000 1.000
#> D4276C6F-9F0F-4F74-A85E-1E54272ADDED 2 0.0000 0.9689 0.000 1.000
#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 2 0.0000 0.9689 0.000 1.000
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 1 0.8861 0.6023 0.696 0.304
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 2 0.0000 0.9689 0.000 1.000
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 1 0.0000 0.9575 1.000 0.000
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 2 0.0000 0.9689 0.000 1.000
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 1 0.0000 0.9575 1.000 0.000
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 1 0.0000 0.9575 1.000 0.000
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 1 0.0000 0.9575 1.000 0.000
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 2 0.9608 0.3472 0.384 0.616
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 2 0.0000 0.9689 0.000 1.000
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 2 0.0000 0.9689 0.000 1.000
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 1 0.0000 0.9575 1.000 0.000
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 2 0.0000 0.9689 0.000 1.000
#> C7997523-47CF-40F0-8803-AB873E38033C 2 0.6048 0.8131 0.148 0.852
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 2 0.0000 0.9689 0.000 1.000
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 2 0.0000 0.9689 0.000 1.000
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 2 0.9686 0.3677 0.396 0.604
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 1 0.0000 0.9575 1.000 0.000
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 2 0.0000 0.9689 0.000 1.000
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 2 0.0000 0.9689 0.000 1.000
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 2 0.0000 0.9689 0.000 1.000
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 2 0.0000 0.9689 0.000 1.000
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 1 0.0000 0.9575 1.000 0.000
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.0000 0.9575 1.000 0.000
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 1 0.0000 0.9575 1.000 0.000
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 1 0.0000 0.9575 1.000 0.000
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 2 0.0000 0.9689 0.000 1.000
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 2 0.0000 0.9689 0.000 1.000
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 2 0.0000 0.9689 0.000 1.000
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 2 0.0000 0.9689 0.000 1.000
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.0000 0.9575 1.000 0.000
#> E15EAAB4-0860-4716-9922-667F604CDF12 1 0.0000 0.9575 1.000 0.000
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 2 0.0000 0.9689 0.000 1.000
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 1 0.0000 0.9575 1.000 0.000
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 2 0.0000 0.9689 0.000 1.000
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.0000 0.9575 1.000 0.000
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 2 0.0000 0.9689 0.000 1.000
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 2 0.0000 0.9689 0.000 1.000
#> E2A4C651-977F-4F40-B5EC-46DF75944141 1 0.0000 0.9575 1.000 0.000
#> 433599CC-9DF5-4494-A607-8079FFE74D95 2 0.7883 0.6930 0.236 0.764
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 2 0.0000 0.9689 0.000 1.000
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 2 0.0000 0.9689 0.000 1.000
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.0000 0.9575 1.000 0.000
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 1 0.0938 0.9495 0.988 0.012
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 1 0.0000 0.9575 1.000 0.000
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 2 0.0000 0.9689 0.000 1.000
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 2 0.0000 0.9689 0.000 1.000
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 2 0.0000 0.9689 0.000 1.000
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.0000 0.9689 0.000 1.000
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 1 0.1414 0.9439 0.980 0.020
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.0000 0.9689 0.000 1.000
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.0000 0.9575 1.000 0.000
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 2 0.0000 0.9689 0.000 1.000
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.0000 0.9575 1.000 0.000
#> 057B580C-13FD-4185-943C-9DD5266B8554 1 0.7376 0.7548 0.792 0.208
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 1 0.2043 0.9350 0.968 0.032
#> 287F3696-25CF-4E67-A934-E50856AD4790 2 0.0000 0.9689 0.000 1.000
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.0000 0.9689 0.000 1.000
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 1 0.5737 0.8401 0.864 0.136
#> B80A74AB-A264-4396-93F8-FD976DBC1456 2 0.0000 0.9689 0.000 1.000
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.0000 0.9689 0.000 1.000
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.0000 0.9575 1.000 0.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.0000 0.9575 1.000 0.000
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 2 0.0000 0.9689 0.000 1.000
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 2 0.0000 0.9689 0.000 1.000
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.0000 0.9689 0.000 1.000
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.0000 0.9575 1.000 0.000
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 1 0.0672 0.9522 0.992 0.008
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.0000 0.9689 0.000 1.000
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.0000 0.9575 1.000 0.000
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.0000 0.9689 0.000 1.000
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 2 0.0000 0.9689 0.000 1.000
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 1 0.8763 0.6173 0.704 0.296
#> DD292494-92A2-43CB-B59B-726B2F429B29 2 0.9393 0.4235 0.356 0.644
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.0000 0.9575 1.000 0.000
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 1 0.0000 0.9575 1.000 0.000
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 2 0.0000 0.9689 0.000 1.000
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 2 0.0672 0.9624 0.008 0.992
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 1 0.0000 0.9575 1.000 0.000
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.0000 0.9575 1.000 0.000
#> 74CF740D-201D-4070-99B9-F007E7C4D472 1 0.0000 0.9575 1.000 0.000
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 2 0.2236 0.9372 0.036 0.964
#> 78F28873-E471-497A-9405-FB8955808599 2 0.0000 0.9689 0.000 1.000
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.0000 0.9689 0.000 1.000
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.0000 0.9689 0.000 1.000
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 1 0.8955 0.5872 0.688 0.312
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.0000 0.905 0.000 0.000 1.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.0000 0.964 1.000 0.000 0.000
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#> 3C9FDA2A-01C8-4F17-BBF1-5CAEAE3764D4 2 0.4605 0.775 0.204 0.796 0.000
#> 8879C57E-8876-462F-810E-EE07C2F541AD 3 0.5363 0.715 0.000 0.276 0.724
#> 130C8FBD-8D78-4212-8DD6-301EDFA339A9 2 0.0000 0.896 0.000 1.000 0.000
#> 6C1FF3E9-0A8B-4B02-B0E9-EEF333E53592 2 0.4784 0.684 0.004 0.796 0.200
#> 726497B7-C557-4D5C-A926-6DDA6136C899 3 0.4605 0.801 0.000 0.204 0.796
#> 2299CD19-BF08-404C-B1BF-B570F12CCEF8 3 0.6244 0.373 0.000 0.440 0.560
#> E8BCBDC5-E34E-422F-86C2-A4B30400EC86 3 0.2625 0.851 0.000 0.084 0.916
#> B9EF0525-8B4A-4306-B06B-35AC457F5F48 2 0.0000 0.896 0.000 1.000 0.000
#> F663E106-4E34-46C8-9CD9-AE5E9B8B27F0 2 0.2356 0.843 0.000 0.928 0.072
#> 94E26CD5-238B-4D8C-B8E8-A62C44EB2B41 3 0.5882 0.599 0.000 0.348 0.652
#> 135743C3-829E-46DC-BBA9-FF07C8067612 1 0.0000 0.964 1.000 0.000 0.000
#> CBD7775A-2802-4EB7-9F62-6B80D7667AED 2 0.4605 0.775 0.204 0.796 0.000
#> BD6DAD3D-2D5F-4560-9A4C-70D8A1D49732 1 0.0000 0.964 1.000 0.000 0.000
#> ED86F92E-6B39-4C0C-9A60-870984F53C4D 1 0.0000 0.964 1.000 0.000 0.000
#> CD3B289F-FAE1-405F-875F-23C1D2609DFC 1 0.0000 0.964 1.000 0.000 0.000
#> D1C0E70B-B2BB-4FE7-8DEC-B50659739BAA 3 0.3267 0.859 0.000 0.116 0.884
#> D2417A9C-CBF0-47F6-B20C-FB32AF632A84 2 0.0000 0.896 0.000 1.000 0.000
#> EF5618C6-6AFB-4FB5-A32B-7946F18E9736 1 0.0000 0.964 1.000 0.000 0.000
#> 36040CAB-FF77-4540-BB44-7961A6A54B29 3 0.0000 0.905 0.000 0.000 1.000
#> 3808C3A9-22DA-4DC5-9F51-884A7EF574E6 2 0.2537 0.866 0.080 0.920 0.000
#> 24363857-9A33-40D4-8409-C17225570833 2 0.0000 0.896 0.000 1.000 0.000
#> A57E6132-9B76-493A-A167-8462263B7CDB 2 0.0000 0.896 0.000 1.000 0.000
#> 4C020890-E652-4DE4-B66D-5F6F71405F64 2 0.0000 0.896 0.000 1.000 0.000
#> 90C991CD-412E-4318-96E3-EB84B868FE9F 3 0.3116 0.863 0.000 0.108 0.892
#> FA8E73EA-649C-43ED-854E-B9472820D1C6 2 0.0000 0.896 0.000 1.000 0.000
#> 4D46B5DE-186A-4D35-8E1B-64701C13BC69 3 0.0000 0.905 0.000 0.000 1.000
#> D516A82D-2F77-46B2-90F7-30BA5C78AAC8 2 0.5810 0.404 0.000 0.664 0.336
#> 1FBD0805-13AE-4A82-8B94-640E1C921262 3 0.0000 0.905 0.000 0.000 1.000
#> 264525A9-F7DB-4012-A93B-CF8A7626F125 3 0.0000 0.905 0.000 0.000 1.000
#> AFF029D8-FFC9-4AA9-8049-F1E27C743F6F 2 0.0000 0.896 0.000 1.000 0.000
#> 5B65768D-0E81-4469-9D69-69B07ED5ACD5 2 0.0000 0.896 0.000 1.000 0.000
#> 2CB06CA6-8D1F-4BC7-99BE-66921805B8FD 3 0.4062 0.831 0.000 0.164 0.836
#> 956357FB-9AB3-497C-BB55-9D15B486A422 2 0.1411 0.886 0.036 0.964 0.000
#> C8F2BAD0-7124-46BF-975C-4B44BE980F93 1 0.0000 0.964 1.000 0.000 0.000
#> E96AE267-3E23-4EA9-93E2-D92558155A17 3 0.0000 0.905 0.000 0.000 1.000
#> 1C8DCA5B-965B-485A-83B6-5CBEB2117E47 2 0.0000 0.896 0.000 1.000 0.000
#> DEAB79F5-336A-49B4-8046-AEE2F567FE46 1 0.0000 0.964 1.000 0.000 0.000
#> 767FE89E-E19F-4F56-A744-CB3C5CCC085B 2 0.0000 0.896 0.000 1.000 0.000
#> 7B0BF632-79E5-46B5-AAC8-4A6D5A193449 3 0.0000 0.905 0.000 0.000 1.000
#> 9A281EDE-FF96-4E66-AEF4-692BDFA8E99D 2 0.4555 0.686 0.000 0.800 0.200
#> B8C2D019-00C9-4E1E-8383-4FE2FFB4D2D7 3 0.0000 0.905 0.000 0.000 1.000
#> 39A9B95F-186B-4550-9271-001151B1A626 1 0.4235 0.774 0.824 0.000 0.176
#> CAD6E491-88FB-4221-90E9-AC9C68AECCB0 2 0.0000 0.896 0.000 1.000 0.000
#> 15EFBC5B-C713-4718-BB6F-0EBBE4D6997F 2 0.0000 0.896 0.000 1.000 0.000
#> BBA00038-09B1-461D-9F8E-484890B0D130 2 0.4121 0.811 0.168 0.832 0.000
#> 16EBB885-A692-42A6-9027-F6AD769E0ABB 1 0.0000 0.964 1.000 0.000 0.000
#> 2D57E24B-97A6-4B85-BC8F-3E02DDC6C460 3 0.0000 0.905 0.000 0.000 1.000
#> C6E39F86-9DEF-4BCA-930B-2A3993D18901 3 0.4555 0.805 0.000 0.200 0.800
#> 5BE4D8E9-DA18-426F-8AE6-075B15010390 2 0.4291 0.800 0.180 0.820 0.000
#> 8E9CAAC7-31D3-473C-821C-2DAD37B44D3A 3 0.4555 0.805 0.000 0.200 0.800
#> 368CFCA3-7BAB-4D6D-9AE1-55713A9965C1 3 0.4963 0.717 0.008 0.200 0.792
#> 14DB79EF-DE2B-4197-AD32-F657E0655FCD 2 0.0000 0.896 0.000 1.000 0.000
#> E73BCFCB-C5FE-4BF2-A236-B9E69711C121 2 0.0000 0.896 0.000 1.000 0.000
#> CDAFAFEA-365B-4F25-AEC0-639B6E0CB626 2 0.0000 0.896 0.000 1.000 0.000
#> 48A2AAEB-7F60-4284-808E-2058A531B17C 3 0.1529 0.892 0.000 0.040 0.960
#> D4276C6F-9F0F-4F74-A85E-1E54272ADDED 3 0.0000 0.905 0.000 0.000 1.000
#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 3 0.4555 0.805 0.000 0.200 0.800
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 2 0.0000 0.896 0.000 1.000 0.000
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 3 0.4121 0.764 0.000 0.168 0.832
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 1 0.0000 0.964 1.000 0.000 0.000
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 3 0.0237 0.904 0.000 0.004 0.996
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 2 0.5859 0.488 0.344 0.656 0.000
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 1 0.0000 0.964 1.000 0.000 0.000
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 2 0.0000 0.896 0.000 1.000 0.000
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 2 0.0000 0.896 0.000 1.000 0.000
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 3 0.5216 0.742 0.000 0.260 0.740
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 3 0.4555 0.805 0.000 0.200 0.800
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 2 0.4121 0.811 0.168 0.832 0.000
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 3 0.4555 0.805 0.000 0.200 0.800
#> C7997523-47CF-40F0-8803-AB873E38033C 2 0.0000 0.896 0.000 1.000 0.000
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 3 0.0000 0.905 0.000 0.000 1.000
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 3 0.0000 0.905 0.000 0.000 1.000
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 1 0.4555 0.744 0.800 0.000 0.200
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 1 0.0000 0.964 1.000 0.000 0.000
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 3 0.0000 0.905 0.000 0.000 1.000
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 2 0.0000 0.896 0.000 1.000 0.000
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 3 0.0000 0.905 0.000 0.000 1.000
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 2 0.0000 0.896 0.000 1.000 0.000
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 2 0.4605 0.775 0.204 0.796 0.000
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.0000 0.964 1.000 0.000 0.000
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 1 0.4887 0.668 0.772 0.228 0.000
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 1 0.0000 0.964 1.000 0.000 0.000
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 3 0.0000 0.905 0.000 0.000 1.000
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 3 0.4555 0.726 0.000 0.200 0.800
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 3 0.0000 0.905 0.000 0.000 1.000
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 2 0.3482 0.784 0.000 0.872 0.128
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.0000 0.964 1.000 0.000 0.000
#> E15EAAB4-0860-4716-9922-667F604CDF12 2 0.5291 0.696 0.268 0.732 0.000
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 2 0.1860 0.872 0.000 0.948 0.052
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 2 0.4605 0.775 0.204 0.796 0.000
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 3 0.5397 0.594 0.000 0.280 0.720
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.0000 0.964 1.000 0.000 0.000
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 3 0.0000 0.905 0.000 0.000 1.000
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 3 0.4555 0.805 0.000 0.200 0.800
#> E2A4C651-977F-4F40-B5EC-46DF75944141 2 0.4291 0.800 0.180 0.820 0.000
#> 433599CC-9DF5-4494-A607-8079FFE74D95 1 0.6302 0.120 0.520 0.000 0.480
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 2 0.0000 0.896 0.000 1.000 0.000
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 3 0.0000 0.905 0.000 0.000 1.000
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.0000 0.964 1.000 0.000 0.000
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 2 0.0000 0.896 0.000 1.000 0.000
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 1 0.0000 0.964 1.000 0.000 0.000
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.0000 0.905 0.000 0.000 1.000
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 3 0.0000 0.905 0.000 0.000 1.000
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 3 0.0000 0.905 0.000 0.000 1.000
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 3 0.4555 0.805 0.000 0.200 0.800
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 2 0.0000 0.896 0.000 1.000 0.000
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 3 0.0000 0.905 0.000 0.000 1.000
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.0000 0.964 1.000 0.000 0.000
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 3 0.0000 0.905 0.000 0.000 1.000
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.0000 0.964 1.000 0.000 0.000
#> 057B580C-13FD-4185-943C-9DD5266B8554 2 0.4399 0.792 0.188 0.812 0.000
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 2 0.5241 0.799 0.048 0.820 0.132
#> 287F3696-25CF-4E67-A934-E50856AD4790 3 0.0000 0.905 0.000 0.000 1.000
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 3 0.4555 0.805 0.000 0.200 0.800
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 2 0.0000 0.896 0.000 1.000 0.000
#> B80A74AB-A264-4396-93F8-FD976DBC1456 3 0.0000 0.905 0.000 0.000 1.000
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.0237 0.894 0.000 0.996 0.004
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.0000 0.964 1.000 0.000 0.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.0000 0.964 1.000 0.000 0.000
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 3 0.0000 0.905 0.000 0.000 1.000
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 3 0.0000 0.905 0.000 0.000 1.000
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.5178 0.589 0.000 0.744 0.256
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.0000 0.964 1.000 0.000 0.000
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 2 0.0000 0.896 0.000 1.000 0.000
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 3 0.0000 0.905 0.000 0.000 1.000
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.0000 0.964 1.000 0.000 0.000
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.0000 0.896 0.000 1.000 0.000
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 2 0.5098 0.579 0.000 0.752 0.248
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 2 0.0000 0.896 0.000 1.000 0.000
#> DD292494-92A2-43CB-B59B-726B2F429B29 2 0.0000 0.896 0.000 1.000 0.000
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.0000 0.964 1.000 0.000 0.000
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 2 0.0237 0.896 0.004 0.996 0.000
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 3 0.0000 0.905 0.000 0.000 1.000
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 2 0.0000 0.896 0.000 1.000 0.000
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 1 0.4291 0.747 0.820 0.180 0.000
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.0000 0.964 1.000 0.000 0.000
#> 74CF740D-201D-4070-99B9-F007E7C4D472 2 0.4062 0.814 0.164 0.836 0.000
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 2 0.0000 0.896 0.000 1.000 0.000
#> 78F28873-E471-497A-9405-FB8955808599 3 0.0000 0.905 0.000 0.000 1.000
#> 29294D9A-434B-4581-9591-63D16107C7B1 3 0.0000 0.905 0.000 0.000 1.000
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 3 0.4555 0.805 0.000 0.200 0.800
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 2 0.0000 0.896 0.000 1.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.0000 0.9494 0.000 0.000 1.000 0.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.0000 0.9639 1.000 0.000 0.000 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 4 0.0000 0.9257 0.000 0.000 0.000 1.000
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.0000 0.9639 1.000 0.000 0.000 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.0000 0.9639 1.000 0.000 0.000 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.0000 0.9639 1.000 0.000 0.000 0.000
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.3649 0.7331 0.000 0.796 0.204 0.000
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.0000 0.9199 0.000 1.000 0.000 0.000
#> 18971368-40F0-42D3-B1A3-707850C53B18 4 0.5004 0.3439 0.392 0.000 0.004 0.604
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 4 0.0524 0.9259 0.004 0.008 0.000 0.988
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 2 0.0707 0.9130 0.000 0.980 0.000 0.020
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 2 0.4134 0.6453 0.000 0.740 0.260 0.000
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.0000 0.9639 1.000 0.000 0.000 0.000
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 4 0.0336 0.9262 0.000 0.008 0.000 0.992
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.0000 0.9639 1.000 0.000 0.000 0.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 3 0.0707 0.9519 0.000 0.020 0.980 0.000
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 4 0.4193 0.6617 0.000 0.268 0.000 0.732
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 4 0.1211 0.9079 0.000 0.040 0.000 0.960
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.0000 0.9639 1.000 0.000 0.000 0.000
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.0000 0.9639 1.000 0.000 0.000 0.000
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 2 0.1637 0.8883 0.000 0.940 0.000 0.060
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 3 0.1022 0.9440 0.000 0.032 0.968 0.000
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 4 0.0000 0.9257 0.000 0.000 0.000 1.000
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 1 0.0000 0.9639 1.000 0.000 0.000 0.000
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 4 0.0336 0.9262 0.000 0.008 0.000 0.992
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 1 0.4746 0.4018 0.632 0.000 0.000 0.368
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.0000 0.9639 1.000 0.000 0.000 0.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 4 0.0000 0.9257 0.000 0.000 0.000 1.000
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.0000 0.9199 0.000 1.000 0.000 0.000
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 3 0.0707 0.9519 0.000 0.020 0.980 0.000
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#> 130C8FBD-8D78-4212-8DD6-301EDFA339A9 4 0.0336 0.9262 0.000 0.008 0.000 0.992
#> 6C1FF3E9-0A8B-4B02-B0E9-EEF333E53592 2 0.0336 0.9182 0.000 0.992 0.000 0.008
#> 726497B7-C557-4D5C-A926-6DDA6136C899 2 0.0000 0.9199 0.000 1.000 0.000 0.000
#> 2299CD19-BF08-404C-B1BF-B570F12CCEF8 2 0.0000 0.9199 0.000 1.000 0.000 0.000
#> E8BCBDC5-E34E-422F-86C2-A4B30400EC86 3 0.0336 0.9456 0.000 0.000 0.992 0.008
#> B9EF0525-8B4A-4306-B06B-35AC457F5F48 2 0.0707 0.9130 0.000 0.980 0.000 0.020
#> F663E106-4E34-46C8-9CD9-AE5E9B8B27F0 2 0.1211 0.9058 0.000 0.960 0.000 0.040
#> 94E26CD5-238B-4D8C-B8E8-A62C44EB2B41 2 0.0188 0.9195 0.000 0.996 0.000 0.004
#> 135743C3-829E-46DC-BBA9-FF07C8067612 1 0.0000 0.9639 1.000 0.000 0.000 0.000
#> CBD7775A-2802-4EB7-9F62-6B80D7667AED 4 0.0188 0.9254 0.004 0.000 0.000 0.996
#> BD6DAD3D-2D5F-4560-9A4C-70D8A1D49732 1 0.0000 0.9639 1.000 0.000 0.000 0.000
#> ED86F92E-6B39-4C0C-9A60-870984F53C4D 1 0.0000 0.9639 1.000 0.000 0.000 0.000
#> CD3B289F-FAE1-405F-875F-23C1D2609DFC 1 0.0336 0.9576 0.992 0.008 0.000 0.000
#> D1C0E70B-B2BB-4FE7-8DEC-B50659739BAA 2 0.0000 0.9199 0.000 1.000 0.000 0.000
#> D2417A9C-CBF0-47F6-B20C-FB32AF632A84 4 0.3356 0.7796 0.000 0.176 0.000 0.824
#> EF5618C6-6AFB-4FB5-A32B-7946F18E9736 1 0.0000 0.9639 1.000 0.000 0.000 0.000
#> 36040CAB-FF77-4540-BB44-7961A6A54B29 2 0.3837 0.7109 0.000 0.776 0.224 0.000
#> 3808C3A9-22DA-4DC5-9F51-884A7EF574E6 4 0.0000 0.9257 0.000 0.000 0.000 1.000
#> 24363857-9A33-40D4-8409-C17225570833 2 0.4888 0.2975 0.000 0.588 0.000 0.412
#> A57E6132-9B76-493A-A167-8462263B7CDB 4 0.1174 0.9157 0.020 0.012 0.000 0.968
#> 4C020890-E652-4DE4-B66D-5F6F71405F64 4 0.0336 0.9262 0.000 0.008 0.000 0.992
#> 90C991CD-412E-4318-96E3-EB84B868FE9F 2 0.0000 0.9199 0.000 1.000 0.000 0.000
#> FA8E73EA-649C-43ED-854E-B9472820D1C6 4 0.0921 0.9152 0.000 0.028 0.000 0.972
#> 4D46B5DE-186A-4D35-8E1B-64701C13BC69 3 0.0707 0.9519 0.000 0.020 0.980 0.000
#> D516A82D-2F77-46B2-90F7-30BA5C78AAC8 2 0.0000 0.9199 0.000 1.000 0.000 0.000
#> 1FBD0805-13AE-4A82-8B94-640E1C921262 3 0.0000 0.9494 0.000 0.000 1.000 0.000
#> 264525A9-F7DB-4012-A93B-CF8A7626F125 3 0.0707 0.9519 0.000 0.020 0.980 0.000
#> AFF029D8-FFC9-4AA9-8049-F1E27C743F6F 4 0.0336 0.9262 0.000 0.008 0.000 0.992
#> 5B65768D-0E81-4469-9D69-69B07ED5ACD5 2 0.2888 0.8275 0.000 0.872 0.004 0.124
#> 2CB06CA6-8D1F-4BC7-99BE-66921805B8FD 2 0.0000 0.9199 0.000 1.000 0.000 0.000
#> 956357FB-9AB3-497C-BB55-9D15B486A422 4 0.0000 0.9257 0.000 0.000 0.000 1.000
#> C8F2BAD0-7124-46BF-975C-4B44BE980F93 1 0.0000 0.9639 1.000 0.000 0.000 0.000
#> E96AE267-3E23-4EA9-93E2-D92558155A17 3 0.0000 0.9494 0.000 0.000 1.000 0.000
#> 1C8DCA5B-965B-485A-83B6-5CBEB2117E47 4 0.1211 0.9133 0.000 0.040 0.000 0.960
#> DEAB79F5-336A-49B4-8046-AEE2F567FE46 1 0.0000 0.9639 1.000 0.000 0.000 0.000
#> 767FE89E-E19F-4F56-A744-CB3C5CCC085B 4 0.1022 0.9176 0.000 0.032 0.000 0.968
#> 7B0BF632-79E5-46B5-AAC8-4A6D5A193449 3 0.0707 0.9519 0.000 0.020 0.980 0.000
#> 9A281EDE-FF96-4E66-AEF4-692BDFA8E99D 2 0.1022 0.9100 0.000 0.968 0.000 0.032
#> B8C2D019-00C9-4E1E-8383-4FE2FFB4D2D7 3 0.0000 0.9494 0.000 0.000 1.000 0.000
#> 39A9B95F-186B-4550-9271-001151B1A626 1 0.0000 0.9639 1.000 0.000 0.000 0.000
#> CAD6E491-88FB-4221-90E9-AC9C68AECCB0 4 0.0336 0.9262 0.000 0.008 0.000 0.992
#> 15EFBC5B-C713-4718-BB6F-0EBBE4D6997F 2 0.4522 0.5295 0.000 0.680 0.000 0.320
#> BBA00038-09B1-461D-9F8E-484890B0D130 4 0.0188 0.9257 0.004 0.000 0.000 0.996
#> 16EBB885-A692-42A6-9027-F6AD769E0ABB 1 0.0000 0.9639 1.000 0.000 0.000 0.000
#> 2D57E24B-97A6-4B85-BC8F-3E02DDC6C460 3 0.4933 0.2033 0.000 0.432 0.568 0.000
#> C6E39F86-9DEF-4BCA-930B-2A3993D18901 2 0.0336 0.9182 0.000 0.992 0.000 0.008
#> 5BE4D8E9-DA18-426F-8AE6-075B15010390 4 0.0524 0.9242 0.008 0.000 0.004 0.988
#> 8E9CAAC7-31D3-473C-821C-2DAD37B44D3A 2 0.0000 0.9199 0.000 1.000 0.000 0.000
#> 368CFCA3-7BAB-4D6D-9AE1-55713A9965C1 3 0.0592 0.9403 0.000 0.000 0.984 0.016
#> 14DB79EF-DE2B-4197-AD32-F657E0655FCD 4 0.1022 0.9172 0.000 0.032 0.000 0.968
#> E73BCFCB-C5FE-4BF2-A236-B9E69711C121 4 0.0000 0.9257 0.000 0.000 0.000 1.000
#> CDAFAFEA-365B-4F25-AEC0-639B6E0CB626 4 0.0336 0.9262 0.000 0.008 0.000 0.992
#> 48A2AAEB-7F60-4284-808E-2058A531B17C 2 0.0336 0.9176 0.000 0.992 0.008 0.000
#> D4276C6F-9F0F-4F74-A85E-1E54272ADDED 2 0.0817 0.9101 0.000 0.976 0.024 0.000
#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 2 0.0000 0.9199 0.000 1.000 0.000 0.000
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 4 0.2011 0.8857 0.000 0.080 0.000 0.920
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 3 0.0817 0.9341 0.000 0.000 0.976 0.024
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 1 0.0000 0.9639 1.000 0.000 0.000 0.000
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 3 0.0000 0.9494 0.000 0.000 1.000 0.000
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 4 0.4814 0.5333 0.316 0.008 0.000 0.676
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 1 0.0000 0.9639 1.000 0.000 0.000 0.000
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 4 0.0000 0.9257 0.000 0.000 0.000 1.000
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 4 0.3907 0.7059 0.000 0.232 0.000 0.768
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 2 0.1022 0.9062 0.000 0.968 0.000 0.032
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 2 0.0000 0.9199 0.000 1.000 0.000 0.000
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 4 0.0000 0.9257 0.000 0.000 0.000 1.000
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 2 0.0336 0.9182 0.000 0.992 0.000 0.008
#> C7997523-47CF-40F0-8803-AB873E38033C 4 0.4998 0.0892 0.000 0.488 0.000 0.512
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 2 0.0817 0.9101 0.000 0.976 0.024 0.000
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 3 0.0707 0.9519 0.000 0.020 0.980 0.000
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 1 0.1940 0.8975 0.924 0.000 0.076 0.000
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 1 0.0000 0.9639 1.000 0.000 0.000 0.000
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 2 0.2530 0.8405 0.000 0.888 0.112 0.000
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 2 0.0817 0.9115 0.000 0.976 0.000 0.024
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 3 0.0000 0.9494 0.000 0.000 1.000 0.000
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 2 0.0707 0.9130 0.000 0.980 0.000 0.020
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 4 0.0657 0.9226 0.012 0.000 0.004 0.984
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.0000 0.9639 1.000 0.000 0.000 0.000
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 4 0.0779 0.9205 0.016 0.000 0.004 0.980
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 1 0.0000 0.9639 1.000 0.000 0.000 0.000
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 3 0.0336 0.9506 0.000 0.008 0.992 0.000
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 3 0.4244 0.7629 0.000 0.168 0.800 0.032
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 2 0.0707 0.9124 0.000 0.980 0.020 0.000
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 2 0.0469 0.9169 0.000 0.988 0.000 0.012
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.0000 0.9639 1.000 0.000 0.000 0.000
#> E15EAAB4-0860-4716-9922-667F604CDF12 4 0.0895 0.9184 0.020 0.000 0.004 0.976
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 4 0.4295 0.6769 0.000 0.008 0.240 0.752
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 4 0.0524 0.9242 0.008 0.000 0.004 0.988
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 3 0.0469 0.9432 0.000 0.000 0.988 0.012
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.0000 0.9639 1.000 0.000 0.000 0.000
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 2 0.0592 0.9144 0.000 0.984 0.016 0.000
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 2 0.0000 0.9199 0.000 1.000 0.000 0.000
#> E2A4C651-977F-4F40-B5EC-46DF75944141 4 0.0336 0.9249 0.008 0.000 0.000 0.992
#> 433599CC-9DF5-4494-A607-8079FFE74D95 3 0.5183 0.3036 0.408 0.008 0.584 0.000
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 4 0.6031 0.3091 0.000 0.048 0.388 0.564
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 3 0.0707 0.9519 0.000 0.020 0.980 0.000
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.0000 0.9639 1.000 0.000 0.000 0.000
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 4 0.0524 0.9257 0.000 0.008 0.004 0.988
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 1 0.2773 0.8536 0.880 0.000 0.004 0.116
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.0000 0.9494 0.000 0.000 1.000 0.000
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 3 0.0707 0.9519 0.000 0.020 0.980 0.000
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 3 0.0707 0.9519 0.000 0.020 0.980 0.000
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.0000 0.9199 0.000 1.000 0.000 0.000
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 4 0.0469 0.9254 0.000 0.012 0.000 0.988
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.1389 0.8954 0.000 0.952 0.048 0.000
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.0000 0.9639 1.000 0.000 0.000 0.000
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 3 0.0707 0.9519 0.000 0.020 0.980 0.000
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.0000 0.9639 1.000 0.000 0.000 0.000
#> 057B580C-13FD-4185-943C-9DD5266B8554 4 0.0336 0.9241 0.000 0.000 0.008 0.992
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 4 0.0469 0.9229 0.000 0.000 0.012 0.988
#> 287F3696-25CF-4E67-A934-E50856AD4790 3 0.2973 0.8207 0.000 0.144 0.856 0.000
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.0000 0.9199 0.000 1.000 0.000 0.000
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 4 0.0000 0.9257 0.000 0.000 0.000 1.000
#> B80A74AB-A264-4396-93F8-FD976DBC1456 3 0.0707 0.9519 0.000 0.020 0.980 0.000
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.0336 0.9183 0.000 0.992 0.000 0.008
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.0000 0.9639 1.000 0.000 0.000 0.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.0000 0.9639 1.000 0.000 0.000 0.000
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 2 0.1211 0.9005 0.000 0.960 0.040 0.000
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 3 0.0707 0.9519 0.000 0.020 0.980 0.000
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.0592 0.9171 0.000 0.984 0.000 0.016
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.0000 0.9639 1.000 0.000 0.000 0.000
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 4 0.0000 0.9257 0.000 0.000 0.000 1.000
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.0817 0.9101 0.000 0.976 0.024 0.000
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.0000 0.9639 1.000 0.000 0.000 0.000
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.0707 0.9130 0.000 0.980 0.000 0.020
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 2 0.4543 0.5110 0.000 0.676 0.000 0.324
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 4 0.1211 0.9137 0.000 0.040 0.000 0.960
#> DD292494-92A2-43CB-B59B-726B2F429B29 4 0.3569 0.7551 0.000 0.196 0.000 0.804
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.1743 0.9164 0.940 0.000 0.004 0.056
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 4 0.0000 0.9257 0.000 0.000 0.000 1.000
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 2 0.4972 0.1867 0.000 0.544 0.456 0.000
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 4 0.0817 0.9210 0.000 0.024 0.000 0.976
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 4 0.4964 0.3795 0.380 0.000 0.004 0.616
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.0000 0.9639 1.000 0.000 0.000 0.000
#> 74CF740D-201D-4070-99B9-F007E7C4D472 4 0.0336 0.9241 0.000 0.000 0.008 0.992
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 4 0.4585 0.5292 0.000 0.332 0.000 0.668
#> 78F28873-E471-497A-9405-FB8955808599 3 0.0707 0.9519 0.000 0.020 0.980 0.000
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.0707 0.9124 0.000 0.980 0.020 0.000
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.0000 0.9199 0.000 1.000 0.000 0.000
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 2 0.0817 0.9115 0.000 0.976 0.000 0.024
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.0324 0.89599 0.000 0.000 0.992 0.004 0.004
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.0000 0.95408 1.000 0.000 0.000 0.000 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 5 0.2471 0.70533 0.000 0.000 0.000 0.136 0.864
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.0000 0.95408 1.000 0.000 0.000 0.000 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.0000 0.95408 1.000 0.000 0.000 0.000 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.0000 0.95408 1.000 0.000 0.000 0.000 0.000
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.0609 0.86821 0.000 0.980 0.020 0.000 0.000
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.0000 0.87650 0.000 1.000 0.000 0.000 0.000
#> 18971368-40F0-42D3-B1A3-707850C53B18 5 0.0404 0.81161 0.012 0.000 0.000 0.000 0.988
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 4 0.4150 0.48539 0.000 0.000 0.000 0.612 0.388
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 2 0.3607 0.65800 0.000 0.752 0.000 0.244 0.004
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 2 0.2020 0.80046 0.000 0.900 0.100 0.000 0.000
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 5 0.4291 0.07485 0.464 0.000 0.000 0.000 0.536
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 5 0.4045 0.24473 0.000 0.000 0.000 0.356 0.644
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.0000 0.95408 1.000 0.000 0.000 0.000 0.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 3 0.2074 0.91602 0.000 0.104 0.896 0.000 0.000
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 4 0.0162 0.72835 0.000 0.004 0.000 0.996 0.000
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 4 0.0162 0.72916 0.000 0.000 0.000 0.996 0.004
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.0000 0.95408 1.000 0.000 0.000 0.000 0.000
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#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.1121 0.86383 0.000 0.956 0.000 0.044 0.000
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.0000 0.95408 1.000 0.000 0.000 0.000 0.000
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 5 0.4015 0.24514 0.000 0.000 0.000 0.348 0.652
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.0000 0.87650 0.000 1.000 0.000 0.000 0.000
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.0000 0.95408 1.000 0.000 0.000 0.000 0.000
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.4256 0.27560 0.000 0.564 0.000 0.436 0.000
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 2 0.5088 0.29964 0.000 0.572 0.004 0.392 0.032
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 4 0.4588 0.48255 0.000 0.016 0.000 0.604 0.380
#> DD292494-92A2-43CB-B59B-726B2F429B29 4 0.0162 0.72748 0.000 0.004 0.000 0.996 0.000
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 5 0.1121 0.79798 0.044 0.000 0.000 0.000 0.956
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 4 0.0880 0.72766 0.000 0.000 0.000 0.968 0.032
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 2 0.4656 0.54615 0.000 0.700 0.256 0.004 0.040
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 4 0.4299 0.48263 0.000 0.004 0.000 0.608 0.388
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 5 0.1430 0.79243 0.052 0.000 0.000 0.004 0.944
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.0000 0.95408 1.000 0.000 0.000 0.000 0.000
#> 74CF740D-201D-4070-99B9-F007E7C4D472 4 0.0609 0.72394 0.000 0.000 0.020 0.980 0.000
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 4 0.0290 0.72720 0.000 0.008 0.000 0.992 0.000
#> 78F28873-E471-497A-9405-FB8955808599 3 0.2074 0.91602 0.000 0.104 0.896 0.000 0.000
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.0000 0.87650 0.000 1.000 0.000 0.000 0.000
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.0290 0.87744 0.000 0.992 0.000 0.008 0.000
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 2 0.3835 0.72521 0.000 0.796 0.000 0.156 0.048
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.2697 0.89398 0.000 0.000 0.812 0.000 0.188 0.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.0000 0.95277 1.000 0.000 0.000 0.000 0.000 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 6 0.4201 0.59888 0.000 0.000 0.080 0.176 0.004 0.740
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.0000 0.95277 1.000 0.000 0.000 0.000 0.000 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.0000 0.95277 1.000 0.000 0.000 0.000 0.000 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.0000 0.95277 1.000 0.000 0.000 0.000 0.000 0.000
#> 966A3A03-3879-4816-A1E9-D805F6018836 5 0.2762 0.74847 0.000 0.196 0.000 0.000 0.804 0.000
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.0790 0.81771 0.000 0.968 0.000 0.000 0.032 0.000
#> 18971368-40F0-42D3-B1A3-707850C53B18 6 0.0260 0.80698 0.008 0.000 0.000 0.000 0.000 0.992
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 4 0.5405 0.57915 0.000 0.008 0.172 0.612 0.000 0.208
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 2 0.5204 0.29595 0.000 0.584 0.124 0.292 0.000 0.000
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 5 0.2854 0.73752 0.000 0.208 0.000 0.000 0.792 0.000
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 6 0.3390 0.48124 0.296 0.000 0.000 0.000 0.000 0.704
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 6 0.6122 -0.05019 0.000 0.008 0.180 0.360 0.004 0.448
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.0000 0.95277 1.000 0.000 0.000 0.000 0.000 0.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 5 0.0146 0.87003 0.000 0.004 0.000 0.000 0.996 0.000
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 4 0.2325 0.70774 0.000 0.048 0.060 0.892 0.000 0.000
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 4 0.0806 0.70403 0.000 0.020 0.008 0.972 0.000 0.000
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.0000 0.95277 1.000 0.000 0.000 0.000 0.000 0.000
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.0000 0.95277 1.000 0.000 0.000 0.000 0.000 0.000
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 2 0.6047 0.37028 0.000 0.584 0.180 0.200 0.028 0.008
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 5 0.0363 0.86671 0.000 0.012 0.000 0.000 0.988 0.000
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 4 0.4529 0.46078 0.000 0.000 0.064 0.676 0.004 0.256
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 1 0.0000 0.95277 1.000 0.000 0.000 0.000 0.000 0.000
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 4 0.5911 0.52380 0.000 0.012 0.180 0.552 0.004 0.252
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 1 0.5921 0.18049 0.540 0.008 0.140 0.300 0.000 0.012
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.0000 0.95277 1.000 0.000 0.000 0.000 0.000 0.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 4 0.5704 0.29799 0.000 0.004 0.136 0.520 0.004 0.336
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.0713 0.81906 0.000 0.972 0.000 0.000 0.028 0.000
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 5 0.0146 0.87003 0.000 0.004 0.000 0.000 0.996 0.000
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 4 0.1196 0.69793 0.000 0.040 0.008 0.952 0.000 0.000
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.1075 0.81039 0.000 0.952 0.000 0.000 0.048 0.000
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.0000 0.95277 1.000 0.000 0.000 0.000 0.000 0.000
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 2 0.0790 0.80415 0.000 0.968 0.032 0.000 0.000 0.000
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 4 0.2068 0.69546 0.012 0.004 0.028 0.924 0.004 0.028
#> BE56F908-42DD-4019-A8AC-48884DA788B1 4 0.6146 0.39311 0.000 0.012 0.180 0.480 0.004 0.324
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 4 0.1245 0.70424 0.000 0.032 0.016 0.952 0.000 0.000
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 6 0.0000 0.80906 0.000 0.000 0.000 0.000 0.000 1.000
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 3 0.2697 0.89398 0.000 0.000 0.812 0.000 0.188 0.000
#> 791D9EB8-42E0-4192-B064-B1126CA14481 4 0.2778 0.59978 0.000 0.168 0.008 0.824 0.000 0.000
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 5 0.2883 0.73261 0.000 0.212 0.000 0.000 0.788 0.000
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 5 0.2697 0.75683 0.000 0.188 0.000 0.000 0.812 0.000
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.0000 0.95277 1.000 0.000 0.000 0.000 0.000 0.000
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.0000 0.95277 1.000 0.000 0.000 0.000 0.000 0.000
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 3 0.2697 0.89398 0.000 0.000 0.812 0.000 0.188 0.000
#> D47C7B74-BB01-4614-B683-652F7130729C 5 0.2883 0.67557 0.000 0.212 0.000 0.000 0.788 0.000
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 4 0.5494 0.58567 0.000 0.016 0.160 0.616 0.000 0.208
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 4 0.1341 0.70992 0.000 0.024 0.028 0.948 0.000 0.000
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.0000 0.95277 1.000 0.000 0.000 0.000 0.000 0.000
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.3742 0.48666 0.000 0.648 0.004 0.348 0.000 0.000
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.0000 0.95277 1.000 0.000 0.000 0.000 0.000 0.000
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 4 0.5410 0.58480 0.000 0.012 0.160 0.620 0.000 0.208
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 2 0.0632 0.81972 0.000 0.976 0.000 0.000 0.024 0.000
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 5 0.0146 0.87003 0.000 0.004 0.000 0.000 0.996 0.000
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 1 0.3823 0.16229 0.564 0.000 0.436 0.000 0.000 0.000
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 1 0.0000 0.95277 1.000 0.000 0.000 0.000 0.000 0.000
#> 58F11B66-AE40-417E-B465-811C6CF7311C 1 0.5601 0.25725 0.556 0.008 0.144 0.000 0.000 0.292
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.0000 0.95277 1.000 0.000 0.000 0.000 0.000 0.000
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 5 0.0790 0.83862 0.032 0.000 0.000 0.000 0.968 0.000
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 4 0.6213 0.56345 0.000 0.060 0.164 0.568 0.000 0.208
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 2 0.0713 0.81906 0.000 0.972 0.000 0.000 0.028 0.000
#> 739952C6-FF36-4E34-B881-E02FE17C4012 4 0.2586 0.70485 0.004 0.000 0.096 0.876 0.004 0.020
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 1 0.0000 0.95277 1.000 0.000 0.000 0.000 0.000 0.000
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 2 0.1007 0.81158 0.000 0.956 0.000 0.000 0.044 0.000
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 1 0.0000 0.95277 1.000 0.000 0.000 0.000 0.000 0.000
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 6 0.0790 0.79552 0.032 0.000 0.000 0.000 0.000 0.968
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 1 0.0000 0.95277 1.000 0.000 0.000 0.000 0.000 0.000
#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 6 0.0000 0.80906 0.000 0.000 0.000 0.000 0.000 1.000
#> F6B26185-139B-47A7-91EC-E885D94AC882 4 0.1700 0.70942 0.000 0.000 0.080 0.916 0.000 0.004
#> 81F30B6F-3E9A-4913-986B-C56D5F107A17 2 0.6899 0.23570 0.000 0.468 0.116 0.012 0.316 0.088
#> 2CCB3AE1-0D27-4493-B7AE-67C60BBC1C38 5 0.0146 0.87003 0.000 0.004 0.000 0.000 0.996 0.000
#> 329665BC-B959-47C5-B831-5546F94EDAC1 4 0.1049 0.70087 0.000 0.032 0.008 0.960 0.000 0.000
#> 8D4335F6-6ACB-4E38-B9F2-A2B5B647AE90 1 0.4473 0.10974 0.488 0.000 0.028 0.484 0.000 0.000
#> D181D0D8-FD8C-4259-9B34-97224CF27E1B 2 0.3323 0.66334 0.000 0.780 0.008 0.204 0.008 0.000
#> C0C10950-ABC5-4125-A33E-5AFA2D2574B0 5 0.2730 0.75231 0.000 0.192 0.000 0.000 0.808 0.000
#> 834D12DB-0925-422C-B15B-20A60A5F658C 2 0.4122 0.54651 0.000 0.704 0.048 0.248 0.000 0.000
#> 50314689-519F-4B27-884C-7816DD64CF4E 1 0.0000 0.95277 1.000 0.000 0.000 0.000 0.000 0.000
#> 2502A23E-E168-4A78-9C14-B93FBC9715B1 1 0.0000 0.95277 1.000 0.000 0.000 0.000 0.000 0.000
#> 3F8D01A3-5449-48A1-BDBA-BFE4D908AE31 6 0.5992 0.24085 0.000 0.012 0.180 0.272 0.004 0.532
#> 1C47A87B-C033-4705-B903-DB33B8C6EC34 4 0.5401 0.57699 0.000 0.008 0.168 0.612 0.000 0.212
#> 1329E1C1-743E-4541-9081-165572D4BF47 4 0.1124 0.70598 0.000 0.036 0.008 0.956 0.000 0.000
#> 1F3F8680-EEB6-4532-B81D-51957D1EA502 1 0.0000 0.95277 1.000 0.000 0.000 0.000 0.000 0.000
#> 50F69785-8B7A-4933-85B1-8DC539ACC72A 1 0.0000 0.95277 1.000 0.000 0.000 0.000 0.000 0.000
#> 9095FDD8-EEB2-4B17-85AB-3CDAC0BEC759 6 0.3301 0.73891 0.000 0.004 0.084 0.072 0.004 0.836
#> B6BF8C22-03E4-44F0-B2EF-2A3DD6ADE7D7 6 0.7161 0.22653 0.284 0.000 0.068 0.268 0.004 0.376
#> D6A907FC-3A1B-4E3B-A440-1CE9BE9B334B 2 0.4238 0.28140 0.000 0.580 0.008 0.008 0.404 0.000
#> 02588D5D-89CB-4D0B-9E96-A0270C3FF866 2 0.0632 0.81972 0.000 0.976 0.000 0.000 0.024 0.000
#> D50BBFC7-7774-4B12-938C-8D5373C12DFC 2 0.4224 0.00971 0.000 0.512 0.008 0.004 0.476 0.000
#> 6E930060-502B-49F5-A385-9B91DEBD05E4 1 0.0000 0.95277 1.000 0.000 0.000 0.000 0.000 0.000
#> F6606A8E-ACC6-4826-9547-E0017521724D 4 0.5205 0.62063 0.000 0.020 0.148 0.664 0.000 0.168
#> 981584D3-10DB-455C-8132-E8E5F44E1222 4 0.3323 0.48754 0.000 0.240 0.008 0.752 0.000 0.000
#> 47F6E197-7164-4289-95B5-8FD305A13B4C 4 0.6323 0.24267 0.380 0.000 0.132 0.444 0.000 0.044
#> 4522D871-9379-4643-B15E-9ACB556276C4 3 0.2697 0.89398 0.000 0.000 0.812 0.000 0.188 0.000
#> 7560B2B5-6AF5-4600-9F0A-BE25CF99B6B9 1 0.6816 0.20824 0.524 0.008 0.176 0.088 0.000 0.204
#> 38F5957E-0A99-432D-8F0B-B48E03F17668 1 0.0000 0.95277 1.000 0.000 0.000 0.000 0.000 0.000
#> 7A6BBBE6-2B3B-44EB-A101-C823739AB24F 2 0.0713 0.81906 0.000 0.972 0.000 0.000 0.028 0.000
#> 0782D25A-3B14-499E-A40C-3852B3A15B8B 2 0.4067 0.31607 0.000 0.548 0.008 0.444 0.000 0.000
#> 31D4B639-D1E5-479B-AEC2-34F758F2E470 6 0.0000 0.80906 0.000 0.000 0.000 0.000 0.000 1.000
#> C49078E1-E730-4E81-8EAE-5AAAB9FA1BF5 3 0.2697 0.89398 0.000 0.000 0.812 0.000 0.188 0.000
#> 48BCD3B8-917F-4E8F-BCEA-1363570A6486 2 0.4234 0.44302 0.000 0.608 0.016 0.372 0.004 0.000
#> F3BA6259-9F68-47D0-ABDD-1272AE112CAB 2 0.0632 0.81972 0.000 0.976 0.000 0.000 0.024 0.000
#> 3CA49BB1-30F6-47F3-A751-D5601E16BDBA 4 0.3012 0.55955 0.000 0.196 0.008 0.796 0.000 0.000
#> 47747595-686A-46B5-9EF4-A4CFB85D746D 3 0.4604 0.75785 0.152 0.000 0.696 0.000 0.152 0.000
#> 87974EFF-C2DE-4930-93E3-015E6D996440 5 0.0146 0.87003 0.000 0.004 0.000 0.000 0.996 0.000
#> 7D272E6C-826D-4D02-8383-6A3D5BBF3A5F 3 0.2697 0.89398 0.000 0.000 0.812 0.000 0.188 0.000
#> 070E540B-34DB-4016-B573-84924407F57F 4 0.1405 0.70132 0.000 0.000 0.024 0.948 0.004 0.024
#> 63F4281A-4D90-4589-879E-549097FB3459 4 0.5894 0.52891 0.000 0.012 0.180 0.556 0.004 0.248
#> 93A66EA0-0C74-4342-8140-72ECB01F99A1 3 0.0622 0.67334 0.000 0.000 0.980 0.012 0.000 0.008
#> C92AD683-FD09-4DD2-A5A5-C72EA5DD9B46 4 0.5841 0.59267 0.000 0.044 0.156 0.608 0.000 0.192
#> 38D2BE9E-15D4-47BC-8FEB-55310F23825B 2 0.1267 0.80264 0.000 0.940 0.000 0.000 0.060 0.000
#> B3029936-1EEF-4378-AA28-D5B2A32CDC86 4 0.0436 0.70709 0.000 0.004 0.004 0.988 0.000 0.004
#> 9A33172F-AEEA-4B7D-9605-0C60D7872CEA 1 0.0000 0.95277 1.000 0.000 0.000 0.000 0.000 0.000
#> F2BC32E5-4117-468E-B637-9EDB6E9CC6C7 6 0.3126 0.49781 0.000 0.000 0.248 0.000 0.000 0.752
#> EC319D0D-96C5-49DB-A2C4-BB6BFED6844F 1 0.0000 0.95277 1.000 0.000 0.000 0.000 0.000 0.000
#> 8CB71499-1B35-417D-95E1-D85CE71A2D8A 4 0.2452 0.70268 0.000 0.000 0.084 0.884 0.004 0.028
#> C5986AA8-D1C7-47BB-946F-1AE00503A444 2 0.0458 0.81943 0.000 0.984 0.000 0.000 0.016 0.000
#> CDB44ECD-3F01-4865-B4CC-5190E0FB64DC 4 0.1078 0.70200 0.016 0.012 0.008 0.964 0.000 0.000
#> 57633DCE-DC21-42AE-82EB-81F532CE9840 5 0.2912 0.72571 0.000 0.216 0.000 0.000 0.784 0.000
#> 715C1406-D224-466D-968E-46889824CD3D 4 0.5383 0.60410 0.000 0.020 0.152 0.640 0.000 0.188
#> 86A9A426-4B69-4572-9AFF-103C2724E5EA 1 0.0000 0.95277 1.000 0.000 0.000 0.000 0.000 0.000
#> A73A2348-FC50-42A5-ADF0-6647E5ECF0EA 1 0.6144 0.36522 0.592 0.008 0.180 0.044 0.000 0.176
#> 4BF75CF9-DA61-4A0B-940C-B09C7FE864F0 1 0.0000 0.95277 1.000 0.000 0.000 0.000 0.000 0.000
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#> D4276C6F-9F0F-4F74-A85E-1E54272ADDED 2 0.0865 0.81621 0.000 0.964 0.000 0.000 0.036 0.000
#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 2 0.0458 0.81943 0.000 0.984 0.000 0.000 0.016 0.000
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 4 0.6069 0.58415 0.000 0.052 0.172 0.584 0.000 0.192
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 3 0.5701 0.58768 0.000 0.004 0.536 0.000 0.180 0.280
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 1 0.0000 0.95277 1.000 0.000 0.000 0.000 0.000 0.000
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 3 0.2697 0.89398 0.000 0.000 0.812 0.000 0.188 0.000
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 4 0.7520 0.31901 0.284 0.008 0.180 0.404 0.004 0.120
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 1 0.0000 0.95277 1.000 0.000 0.000 0.000 0.000 0.000
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 4 0.2766 0.69906 0.000 0.008 0.140 0.844 0.000 0.008
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 4 0.1333 0.69484 0.000 0.048 0.008 0.944 0.000 0.000
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 2 0.6058 0.10302 0.000 0.452 0.116 0.032 0.400 0.000
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 2 0.0632 0.81972 0.000 0.976 0.000 0.000 0.024 0.000
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 4 0.5450 0.60667 0.000 0.012 0.180 0.632 0.004 0.172
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 2 0.0717 0.81958 0.000 0.976 0.000 0.008 0.016 0.000
#> C7997523-47CF-40F0-8803-AB873E38033C 4 0.2402 0.65349 0.000 0.120 0.012 0.868 0.000 0.000
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 5 0.4227 0.06222 0.000 0.488 0.008 0.004 0.500 0.000
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 5 0.0146 0.87003 0.000 0.004 0.000 0.000 0.996 0.000
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 3 0.3789 0.31708 0.416 0.000 0.584 0.000 0.000 0.000
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 1 0.0000 0.95277 1.000 0.000 0.000 0.000 0.000 0.000
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 5 0.3409 0.58876 0.000 0.300 0.000 0.000 0.700 0.000
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 2 0.5230 0.19451 0.000 0.548 0.108 0.344 0.000 0.000
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 3 0.2697 0.89398 0.000 0.000 0.812 0.000 0.188 0.000
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 2 0.3190 0.63609 0.000 0.772 0.008 0.220 0.000 0.000
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 6 0.1138 0.79432 0.000 0.000 0.012 0.024 0.004 0.960
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.0000 0.95277 1.000 0.000 0.000 0.000 0.000 0.000
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 6 0.0436 0.80623 0.000 0.000 0.004 0.004 0.004 0.988
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 1 0.0000 0.95277 1.000 0.000 0.000 0.000 0.000 0.000
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 5 0.1663 0.79686 0.000 0.000 0.000 0.000 0.912 0.088
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 5 0.6268 0.04309 0.000 0.040 0.280 0.164 0.516 0.000
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 2 0.0790 0.81774 0.000 0.968 0.000 0.000 0.032 0.000
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 2 0.1462 0.79265 0.000 0.936 0.008 0.056 0.000 0.000
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.0000 0.95277 1.000 0.000 0.000 0.000 0.000 0.000
#> E15EAAB4-0860-4716-9922-667F604CDF12 6 0.0000 0.80906 0.000 0.000 0.000 0.000 0.000 1.000
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 6 0.3923 0.36820 0.000 0.000 0.000 0.372 0.008 0.620
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 6 0.0000 0.80906 0.000 0.000 0.000 0.000 0.000 1.000
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 3 0.2697 0.89398 0.000 0.000 0.812 0.000 0.188 0.000
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.0000 0.95277 1.000 0.000 0.000 0.000 0.000 0.000
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 2 0.1204 0.80532 0.000 0.944 0.000 0.000 0.056 0.000
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 2 0.0632 0.81972 0.000 0.976 0.000 0.000 0.024 0.000
#> E2A4C651-977F-4F40-B5EC-46DF75944141 6 0.1984 0.76769 0.000 0.000 0.056 0.032 0.000 0.912
#> 433599CC-9DF5-4494-A607-8079FFE74D95 5 0.2941 0.58046 0.220 0.000 0.000 0.000 0.780 0.000
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 4 0.1675 0.69452 0.000 0.024 0.008 0.936 0.032 0.000
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 5 0.0146 0.87003 0.000 0.004 0.000 0.000 0.996 0.000
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.0000 0.95277 1.000 0.000 0.000 0.000 0.000 0.000
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 6 0.0000 0.80906 0.000 0.000 0.000 0.000 0.000 1.000
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 6 0.0713 0.79849 0.028 0.000 0.000 0.000 0.000 0.972
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.2697 0.89398 0.000 0.000 0.812 0.000 0.188 0.000
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 5 0.0146 0.87003 0.000 0.004 0.000 0.000 0.996 0.000
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 5 0.0146 0.87003 0.000 0.004 0.000 0.000 0.996 0.000
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.0547 0.81973 0.000 0.980 0.000 0.000 0.020 0.000
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 6 0.4496 0.61712 0.000 0.008 0.176 0.084 0.004 0.728
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 5 0.3101 0.68906 0.000 0.244 0.000 0.000 0.756 0.000
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.0000 0.95277 1.000 0.000 0.000 0.000 0.000 0.000
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 5 0.0146 0.87003 0.000 0.004 0.000 0.000 0.996 0.000
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.0000 0.95277 1.000 0.000 0.000 0.000 0.000 0.000
#> 057B580C-13FD-4185-943C-9DD5266B8554 4 0.4204 0.40370 0.000 0.004 0.028 0.692 0.004 0.272
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 4 0.3772 0.56673 0.000 0.000 0.160 0.772 0.000 0.068
#> 287F3696-25CF-4E67-A934-E50856AD4790 5 0.2597 0.76858 0.000 0.176 0.000 0.000 0.824 0.000
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.0632 0.81972 0.000 0.976 0.000 0.000 0.024 0.000
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 4 0.3634 0.27664 0.000 0.000 0.000 0.644 0.000 0.356
#> B80A74AB-A264-4396-93F8-FD976DBC1456 5 0.0146 0.87003 0.000 0.004 0.000 0.000 0.996 0.000
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.1700 0.78846 0.000 0.928 0.024 0.048 0.000 0.000
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.0000 0.95277 1.000 0.000 0.000 0.000 0.000 0.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.0000 0.95277 1.000 0.000 0.000 0.000 0.000 0.000
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 5 0.2762 0.74847 0.000 0.196 0.000 0.000 0.804 0.000
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 5 0.0146 0.87003 0.000 0.004 0.000 0.000 0.996 0.000
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.0806 0.81150 0.000 0.972 0.008 0.020 0.000 0.000
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.0000 0.95277 1.000 0.000 0.000 0.000 0.000 0.000
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 6 0.3756 0.29487 0.000 0.000 0.004 0.352 0.000 0.644
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.0790 0.81771 0.000 0.968 0.000 0.000 0.032 0.000
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.0000 0.95277 1.000 0.000 0.000 0.000 0.000 0.000
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.3468 0.58868 0.000 0.728 0.008 0.264 0.000 0.000
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 5 0.6361 0.24353 0.000 0.080 0.100 0.312 0.508 0.000
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 4 0.5775 0.58992 0.000 0.036 0.160 0.608 0.000 0.196
#> DD292494-92A2-43CB-B59B-726B2F429B29 4 0.1934 0.68561 0.000 0.040 0.044 0.916 0.000 0.000
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 6 0.0632 0.80104 0.024 0.000 0.000 0.000 0.000 0.976
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 4 0.2293 0.70565 0.000 0.004 0.080 0.896 0.004 0.016
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 5 0.3361 0.76029 0.000 0.076 0.108 0.000 0.816 0.000
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 4 0.5586 0.58697 0.000 0.024 0.152 0.616 0.000 0.208
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 6 0.1010 0.79054 0.036 0.000 0.000 0.004 0.000 0.960
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.0000 0.95277 1.000 0.000 0.000 0.000 0.000 0.000
#> 74CF740D-201D-4070-99B9-F007E7C4D472 4 0.2320 0.65310 0.000 0.000 0.132 0.864 0.004 0.000
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 4 0.1584 0.68805 0.000 0.064 0.008 0.928 0.000 0.000
#> 78F28873-E471-497A-9405-FB8955808599 5 0.0146 0.87003 0.000 0.004 0.000 0.000 0.996 0.000
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.0865 0.81621 0.000 0.964 0.000 0.000 0.036 0.000
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.0547 0.81973 0.000 0.980 0.000 0.000 0.020 0.000
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 2 0.5089 0.47059 0.000 0.648 0.176 0.172 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["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 17397 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 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 0.517 0.838 0.917 0.4618 0.536 0.536
#> 3 3 0.529 0.757 0.876 0.2152 0.892 0.801
#> 4 4 0.541 0.720 0.837 0.1676 0.801 0.593
#> 5 5 0.537 0.502 0.670 0.0989 0.800 0.514
#> 6 6 0.662 0.739 0.864 0.0707 0.895 0.656
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
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 2 0.0000 0.9086 0.000 1.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.0000 0.9000 1.000 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 1 0.7219 0.7601 0.800 0.200
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.0000 0.9000 1.000 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.0000 0.9000 1.000 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.0000 0.9000 1.000 0.000
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.0000 0.9086 0.000 1.000
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.0000 0.9086 0.000 1.000
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.0376 0.8990 0.996 0.004
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 2 0.9970 0.1924 0.468 0.532
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 2 0.0672 0.9091 0.008 0.992
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 2 0.0000 0.9086 0.000 1.000
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.0000 0.9000 1.000 0.000
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 1 0.7139 0.7647 0.804 0.196
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.0000 0.9000 1.000 0.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 2 0.0000 0.9086 0.000 1.000
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 2 0.6148 0.8318 0.152 0.848
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 2 0.6148 0.8318 0.152 0.848
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.0000 0.9000 1.000 0.000
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.0000 0.9000 1.000 0.000
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 2 0.0376 0.9086 0.004 0.996
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 2 0.0000 0.9086 0.000 1.000
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 1 0.9358 0.5616 0.648 0.352
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 1 0.0000 0.9000 1.000 0.000
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#> B8C2D019-00C9-4E1E-8383-4FE2FFB4D2D7 2 0.3114 0.8893 0.056 0.944
#> 39A9B95F-186B-4550-9271-001151B1A626 2 0.7139 0.7110 0.196 0.804
#> CAD6E491-88FB-4221-90E9-AC9C68AECCB0 2 0.9795 0.3702 0.416 0.584
#> 15EFBC5B-C713-4718-BB6F-0EBBE4D6997F 2 0.5737 0.8444 0.136 0.864
#> BBA00038-09B1-461D-9F8E-484890B0D130 1 0.7299 0.7590 0.796 0.204
#> 16EBB885-A692-42A6-9027-F6AD769E0ABB 1 0.0000 0.9000 1.000 0.000
#> 2D57E24B-97A6-4B85-BC8F-3E02DDC6C460 2 0.0000 0.9086 0.000 1.000
#> C6E39F86-9DEF-4BCA-930B-2A3993D18901 2 0.0376 0.9091 0.004 0.996
#> 5BE4D8E9-DA18-426F-8AE6-075B15010390 1 0.4298 0.8549 0.912 0.088
#> 8E9CAAC7-31D3-473C-821C-2DAD37B44D3A 2 0.0376 0.9091 0.004 0.996
#> 368CFCA3-7BAB-4D6D-9AE1-55713A9965C1 2 0.9286 0.4903 0.344 0.656
#> 14DB79EF-DE2B-4197-AD32-F657E0655FCD 2 0.3584 0.8877 0.068 0.932
#> E73BCFCB-C5FE-4BF2-A236-B9E69711C121 2 0.6148 0.8318 0.152 0.848
#> CDAFAFEA-365B-4F25-AEC0-639B6E0CB626 2 0.6148 0.8318 0.152 0.848
#> 48A2AAEB-7F60-4284-808E-2058A531B17C 2 0.0000 0.9086 0.000 1.000
#> D4276C6F-9F0F-4F74-A85E-1E54272ADDED 2 0.0000 0.9086 0.000 1.000
#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 2 0.0376 0.9091 0.004 0.996
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 2 0.6148 0.8318 0.152 0.848
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 2 0.3733 0.8803 0.072 0.928
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 1 0.0000 0.9000 1.000 0.000
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 2 0.0672 0.9081 0.008 0.992
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 1 0.0000 0.9000 1.000 0.000
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 1 0.0376 0.8984 0.996 0.004
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 1 0.9754 0.3721 0.592 0.408
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 2 0.0672 0.9091 0.008 0.992
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 2 0.1414 0.9072 0.020 0.980
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 2 0.0376 0.9091 0.004 0.996
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 2 0.8267 0.7170 0.260 0.740
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 2 0.0376 0.9091 0.004 0.996
#> C7997523-47CF-40F0-8803-AB873E38033C 2 0.0672 0.9091 0.008 0.992
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 2 0.0376 0.9091 0.004 0.996
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 2 0.0000 0.9086 0.000 1.000
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 1 0.6148 0.7819 0.848 0.152
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 1 0.0000 0.9000 1.000 0.000
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 2 0.0000 0.9086 0.000 1.000
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 2 0.0672 0.9091 0.008 0.992
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 2 0.5629 0.8377 0.132 0.868
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 2 0.0672 0.9091 0.008 0.992
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 1 0.7056 0.7697 0.808 0.192
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.0000 0.9000 1.000 0.000
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 1 0.0376 0.8990 0.996 0.004
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 1 0.3733 0.8540 0.928 0.072
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 2 0.1184 0.9062 0.016 0.984
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 2 0.5737 0.8442 0.136 0.864
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 2 0.0000 0.9086 0.000 1.000
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 2 0.2948 0.8949 0.052 0.948
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.0000 0.9000 1.000 0.000
#> E15EAAB4-0860-4716-9922-667F604CDF12 1 0.4022 0.8600 0.920 0.080
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 2 0.3879 0.8802 0.076 0.924
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 2 0.7883 0.7531 0.236 0.764
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 2 0.7056 0.7896 0.192 0.808
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.0000 0.9000 1.000 0.000
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 2 0.0000 0.9086 0.000 1.000
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 2 0.0000 0.9086 0.000 1.000
#> E2A4C651-977F-4F40-B5EC-46DF75944141 1 0.6801 0.7817 0.820 0.180
#> 433599CC-9DF5-4494-A607-8079FFE74D95 1 0.4815 0.8372 0.896 0.104
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 2 0.5946 0.8374 0.144 0.856
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 2 0.0000 0.9086 0.000 1.000
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.0000 0.9000 1.000 0.000
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 2 0.5294 0.8608 0.120 0.880
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 1 0.8763 0.6650 0.704 0.296
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 2 0.2948 0.8912 0.052 0.948
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 2 0.0000 0.9086 0.000 1.000
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 2 0.0000 0.9086 0.000 1.000
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.0672 0.9091 0.008 0.992
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 2 0.7602 0.7729 0.220 0.780
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.0000 0.9086 0.000 1.000
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.0000 0.9000 1.000 0.000
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 2 0.2948 0.8913 0.052 0.948
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.0000 0.9000 1.000 0.000
#> 057B580C-13FD-4185-943C-9DD5266B8554 2 0.7674 0.7683 0.224 0.776
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 2 0.6531 0.8203 0.168 0.832
#> 287F3696-25CF-4E67-A934-E50856AD4790 2 0.0000 0.9086 0.000 1.000
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.0672 0.9091 0.008 0.992
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 2 0.0938 0.9087 0.012 0.988
#> B80A74AB-A264-4396-93F8-FD976DBC1456 2 0.0000 0.9086 0.000 1.000
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.0376 0.9091 0.004 0.996
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.0000 0.9000 1.000 0.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.0000 0.9000 1.000 0.000
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 2 0.0000 0.9086 0.000 1.000
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 2 0.0000 0.9086 0.000 1.000
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.0672 0.9091 0.008 0.992
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.0000 0.9000 1.000 0.000
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 2 0.6148 0.8318 0.152 0.848
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.0000 0.9086 0.000 1.000
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.0000 0.9000 1.000 0.000
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.0672 0.9091 0.008 0.992
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 2 0.5059 0.8611 0.112 0.888
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 2 0.4939 0.8638 0.108 0.892
#> DD292494-92A2-43CB-B59B-726B2F429B29 2 0.6148 0.8318 0.152 0.848
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.0376 0.8990 0.996 0.004
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 1 0.7139 0.7647 0.804 0.196
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 2 0.0672 0.9091 0.008 0.992
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 2 0.5629 0.8482 0.132 0.868
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 1 0.7528 0.7401 0.784 0.216
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.2948 0.8703 0.948 0.052
#> 74CF740D-201D-4070-99B9-F007E7C4D472 2 0.6438 0.8267 0.164 0.836
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 2 0.7674 0.7683 0.224 0.776
#> 78F28873-E471-497A-9405-FB8955808599 2 0.2948 0.8912 0.052 0.948
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.1414 0.9060 0.020 0.980
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.0000 0.9086 0.000 1.000
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 2 0.6148 0.8318 0.152 0.848
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.1529 0.93142 0.000 0.040 0.960
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.0000 0.84776 1.000 0.000 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 1 0.6438 0.72684 0.748 0.188 0.064
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.0000 0.84776 1.000 0.000 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.0237 0.84803 0.996 0.000 0.004
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.0000 0.84776 1.000 0.000 0.000
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.0424 0.83379 0.000 0.992 0.008
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.0237 0.83445 0.000 0.996 0.004
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.1878 0.84556 0.952 0.004 0.044
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 1 0.7489 -0.00253 0.496 0.468 0.036
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 2 0.0000 0.83558 0.000 1.000 0.000
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 2 0.0424 0.83379 0.000 0.992 0.008
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.1411 0.84671 0.964 0.000 0.036
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 1 0.6348 0.73092 0.752 0.188 0.060
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.0000 0.84776 1.000 0.000 0.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 3 0.2066 0.92115 0.000 0.060 0.940
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 2 0.6264 0.67303 0.256 0.716 0.028
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 2 0.6264 0.66883 0.256 0.716 0.028
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.0000 0.84776 1.000 0.000 0.000
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.0000 0.84776 1.000 0.000 0.000
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 2 0.1399 0.83259 0.004 0.968 0.028
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 2 0.0424 0.83379 0.000 0.992 0.008
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 1 0.7948 0.33361 0.520 0.420 0.060
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 1 0.0000 0.84776 1.000 0.000 0.000
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 2 0.6964 0.64120 0.264 0.684 0.052
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 1 0.3644 0.79623 0.872 0.124 0.004
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.0000 0.84776 1.000 0.000 0.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 1 0.7613 0.48592 0.620 0.316 0.064
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.0000 0.83558 0.000 1.000 0.000
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 3 0.3482 0.86679 0.000 0.128 0.872
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 2 0.5404 0.68276 0.256 0.740 0.004
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.0424 0.83379 0.000 0.992 0.008
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.0000 0.84776 1.000 0.000 0.000
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 2 0.0000 0.83558 0.000 1.000 0.000
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 1 0.7801 0.13027 0.520 0.428 0.052
#> BE56F908-42DD-4019-A8AC-48884DA788B1 2 0.7481 0.57915 0.296 0.640 0.064
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 2 0.6057 0.72770 0.196 0.760 0.044
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 2 0.7504 0.54818 0.312 0.628 0.060
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 3 0.0237 0.91420 0.004 0.000 0.996
#> 791D9EB8-42E0-4192-B064-B1126CA14481 2 0.0892 0.83382 0.000 0.980 0.020
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 2 0.0424 0.83379 0.000 0.992 0.008
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 2 0.0424 0.83379 0.000 0.992 0.008
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.0000 0.84776 1.000 0.000 0.000
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.0237 0.84848 0.996 0.004 0.000
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 3 0.1964 0.92380 0.000 0.056 0.944
#> D47C7B74-BB01-4614-B683-652F7130729C 2 0.0424 0.83379 0.000 0.992 0.008
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 2 0.6539 0.62534 0.288 0.684 0.028
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 2 0.6108 0.69068 0.240 0.732 0.028
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.0592 0.84550 0.988 0.012 0.000
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.0237 0.83445 0.000 0.996 0.004
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.0000 0.84776 1.000 0.000 0.000
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 2 0.6452 0.65619 0.264 0.704 0.032
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 2 0.0424 0.83379 0.000 0.992 0.008
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 2 0.2625 0.77389 0.000 0.916 0.084
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 1 0.4974 0.52459 0.764 0.000 0.236
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 1 0.0237 0.84848 0.996 0.004 0.000
#> 58F11B66-AE40-417E-B465-811C6CF7311C 2 0.6187 0.67737 0.248 0.724 0.028
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.0424 0.84814 0.992 0.000 0.008
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 2 0.5618 0.62732 0.260 0.732 0.008
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 2 0.0000 0.83558 0.000 1.000 0.000
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 2 0.0000 0.83558 0.000 1.000 0.000
#> 739952C6-FF36-4E34-B881-E02FE17C4012 1 0.6025 0.69275 0.740 0.232 0.028
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 1 0.1525 0.84721 0.964 0.004 0.032
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 2 0.0424 0.83379 0.000 0.992 0.008
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 1 0.2550 0.83642 0.936 0.024 0.040
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 1 0.1765 0.84626 0.956 0.004 0.040
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 1 0.0237 0.84848 0.996 0.004 0.000
#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 1 0.6495 0.71438 0.740 0.200 0.060
#> F6B26185-139B-47A7-91EC-E885D94AC882 2 0.1711 0.83236 0.008 0.960 0.032
#> 81F30B6F-3E9A-4913-986B-C56D5F107A17 2 0.3791 0.80471 0.048 0.892 0.060
#> 2CCB3AE1-0D27-4493-B7AE-67C60BBC1C38 2 0.4974 0.58318 0.000 0.764 0.236
#> 329665BC-B959-47C5-B831-5546F94EDAC1 2 0.6653 0.62517 0.288 0.680 0.032
#> 8D4335F6-6ACB-4E38-B9F2-A2B5B647AE90 2 0.6298 0.49714 0.388 0.608 0.004
#> D181D0D8-FD8C-4259-9B34-97224CF27E1B 2 0.0424 0.83556 0.000 0.992 0.008
#> C0C10950-ABC5-4125-A33E-5AFA2D2574B0 2 0.4233 0.68972 0.160 0.836 0.004
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#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 2 0.1399 0.83254 0.004 0.968 0.028
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 2 0.2050 0.83162 0.020 0.952 0.028
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 2 0.0000 0.83558 0.000 1.000 0.000
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 2 0.7190 0.55567 0.320 0.636 0.044
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 2 0.0000 0.83558 0.000 1.000 0.000
#> C7997523-47CF-40F0-8803-AB873E38033C 2 0.0892 0.83346 0.000 0.980 0.020
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 2 0.0592 0.83542 0.000 0.988 0.012
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 3 0.3340 0.86819 0.000 0.120 0.880
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 1 0.6095 0.14505 0.608 0.000 0.392
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 1 0.0000 0.84776 1.000 0.000 0.000
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 2 0.0424 0.83379 0.000 0.992 0.008
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 2 0.0000 0.83558 0.000 1.000 0.000
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 3 0.0424 0.91980 0.000 0.008 0.992
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 2 0.0000 0.83558 0.000 1.000 0.000
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 1 0.6283 0.74092 0.760 0.176 0.064
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.0000 0.84776 1.000 0.000 0.000
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 1 0.2200 0.84094 0.940 0.004 0.056
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 1 0.4799 0.71673 0.836 0.132 0.032
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 2 0.2486 0.81978 0.008 0.932 0.060
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 2 0.5816 0.71363 0.224 0.752 0.024
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 2 0.0424 0.83379 0.000 0.992 0.008
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 2 0.2537 0.81562 0.080 0.920 0.000
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.0000 0.84776 1.000 0.000 0.000
#> E15EAAB4-0860-4716-9922-667F604CDF12 1 0.4469 0.80769 0.864 0.076 0.060
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 2 0.3572 0.80574 0.040 0.900 0.060
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 2 0.7451 0.56376 0.304 0.636 0.060
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 2 0.6490 0.72337 0.172 0.752 0.076
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.0000 0.84776 1.000 0.000 0.000
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 2 0.0424 0.83379 0.000 0.992 0.008
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 2 0.0424 0.83379 0.000 0.992 0.008
#> E2A4C651-977F-4F40-B5EC-46DF75944141 1 0.6044 0.74879 0.772 0.172 0.056
#> 433599CC-9DF5-4494-A607-8079FFE74D95 1 0.3973 0.80311 0.880 0.088 0.032
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 2 0.6025 0.70092 0.232 0.740 0.028
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 3 0.2066 0.92115 0.000 0.060 0.940
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.0000 0.84776 1.000 0.000 0.000
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 2 0.4887 0.78705 0.096 0.844 0.060
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 1 0.7841 0.47052 0.576 0.360 0.064
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.1289 0.93225 0.000 0.032 0.968
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 2 0.4452 0.66646 0.000 0.808 0.192
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 3 0.6252 0.29244 0.000 0.444 0.556
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.0000 0.83558 0.000 1.000 0.000
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 2 0.7189 0.59539 0.292 0.656 0.052
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.0424 0.83379 0.000 0.992 0.008
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.1289 0.84670 0.968 0.000 0.032
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 2 0.2187 0.82862 0.024 0.948 0.028
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.0000 0.84776 1.000 0.000 0.000
#> 057B580C-13FD-4185-943C-9DD5266B8554 2 0.7396 0.57846 0.296 0.644 0.060
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 2 0.6703 0.64833 0.268 0.692 0.040
#> 287F3696-25CF-4E67-A934-E50856AD4790 2 0.1964 0.80018 0.000 0.944 0.056
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.0000 0.83558 0.000 1.000 0.000
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 2 0.1585 0.83224 0.008 0.964 0.028
#> B80A74AB-A264-4396-93F8-FD976DBC1456 2 0.5016 0.57323 0.000 0.760 0.240
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.0000 0.83558 0.000 1.000 0.000
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.1525 0.84762 0.964 0.004 0.032
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.1647 0.84681 0.960 0.004 0.036
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 2 0.0424 0.83379 0.000 0.992 0.008
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 2 0.0424 0.83379 0.000 0.992 0.008
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.0000 0.83558 0.000 1.000 0.000
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.1289 0.84670 0.968 0.000 0.032
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 2 0.6264 0.66883 0.256 0.716 0.028
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.0424 0.83379 0.000 0.992 0.008
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.1647 0.84681 0.960 0.004 0.036
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.0237 0.83564 0.000 0.996 0.004
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 2 0.4634 0.76577 0.164 0.824 0.012
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 2 0.4861 0.75330 0.180 0.808 0.012
#> DD292494-92A2-43CB-B59B-726B2F429B29 2 0.6264 0.66883 0.256 0.716 0.028
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.1989 0.84407 0.948 0.004 0.048
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 1 0.6348 0.73092 0.752 0.188 0.060
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 2 0.0000 0.83558 0.000 1.000 0.000
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 2 0.4605 0.73799 0.204 0.796 0.000
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 1 0.6447 0.72009 0.744 0.196 0.060
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.2959 0.75461 0.900 0.100 0.000
#> 74CF740D-201D-4070-99B9-F007E7C4D472 2 0.6576 0.71669 0.192 0.740 0.068
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 2 0.7396 0.57846 0.296 0.644 0.060
#> 78F28873-E471-497A-9405-FB8955808599 2 0.2313 0.82731 0.024 0.944 0.032
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.0829 0.83192 0.012 0.984 0.004
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.0237 0.83445 0.000 0.996 0.004
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 2 0.5138 0.68886 0.252 0.748 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.0000 0.9330 0.000 0.000 1.000 0.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.0000 0.8694 1.000 0.000 0.000 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 4 0.3311 0.7636 0.000 0.172 0.000 0.828
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.1474 0.8500 0.948 0.000 0.000 0.052
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.1557 0.8492 0.944 0.000 0.000 0.056
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.0000 0.8694 1.000 0.000 0.000 0.000
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.1118 0.8384 0.000 0.964 0.000 0.036
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.0188 0.8483 0.000 0.996 0.000 0.004
#> 18971368-40F0-42D3-B1A3-707850C53B18 4 0.4500 0.5202 0.316 0.000 0.000 0.684
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 4 0.5204 0.4930 0.012 0.376 0.000 0.612
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 2 0.0592 0.8481 0.000 0.984 0.000 0.016
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 2 0.1118 0.8384 0.000 0.964 0.000 0.036
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 4 0.4907 0.3548 0.420 0.000 0.000 0.580
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 4 0.3311 0.7636 0.000 0.172 0.000 0.828
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.0000 0.8694 1.000 0.000 0.000 0.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 3 0.3764 0.8560 0.000 0.012 0.816 0.172
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 2 0.4222 0.6241 0.000 0.728 0.000 0.272
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 2 0.4304 0.6087 0.000 0.716 0.000 0.284
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.2760 0.8062 0.872 0.000 0.000 0.128
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.0000 0.8694 1.000 0.000 0.000 0.000
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 2 0.0921 0.8459 0.000 0.972 0.000 0.028
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 2 0.1118 0.8384 0.000 0.964 0.000 0.036
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 4 0.4564 0.6444 0.000 0.328 0.000 0.672
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 1 0.0000 0.8694 1.000 0.000 0.000 0.000
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 2 0.4643 0.4907 0.000 0.656 0.000 0.344
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 1 0.6296 0.4884 0.644 0.112 0.000 0.244
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.0000 0.8694 1.000 0.000 0.000 0.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 4 0.3852 0.7626 0.012 0.180 0.000 0.808
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.0000 0.8488 0.000 1.000 0.000 0.000
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 3 0.5395 0.7831 0.000 0.092 0.736 0.172
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 2 0.4103 0.6420 0.000 0.744 0.000 0.256
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.1118 0.8384 0.000 0.964 0.000 0.036
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.0000 0.8694 1.000 0.000 0.000 0.000
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 2 0.0469 0.8484 0.000 0.988 0.000 0.012
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 4 0.5847 0.6029 0.052 0.320 0.000 0.628
#> BE56F908-42DD-4019-A8AC-48884DA788B1 4 0.3907 0.7275 0.000 0.232 0.000 0.768
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 4 0.4543 0.6403 0.000 0.324 0.000 0.676
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 4 0.4035 0.7628 0.020 0.176 0.000 0.804
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 3 0.0000 0.9330 0.000 0.000 1.000 0.000
#> 791D9EB8-42E0-4192-B064-B1126CA14481 2 0.0921 0.8461 0.000 0.972 0.000 0.028
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 2 0.1118 0.8384 0.000 0.964 0.000 0.036
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 2 0.0336 0.8488 0.000 0.992 0.000 0.008
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.0000 0.8694 1.000 0.000 0.000 0.000
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.4103 0.6766 0.744 0.000 0.000 0.256
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 3 0.0000 0.9330 0.000 0.000 1.000 0.000
#> D47C7B74-BB01-4614-B683-652F7130729C 2 0.1118 0.8384 0.000 0.964 0.000 0.036
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 2 0.4406 0.5829 0.000 0.700 0.000 0.300
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 2 0.4193 0.6358 0.000 0.732 0.000 0.268
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.3873 0.7093 0.772 0.000 0.000 0.228
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.0469 0.8484 0.000 0.988 0.000 0.012
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.0000 0.8694 1.000 0.000 0.000 0.000
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 2 0.4431 0.5755 0.000 0.696 0.000 0.304
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 2 0.0000 0.8488 0.000 1.000 0.000 0.000
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 2 0.3311 0.7267 0.000 0.828 0.000 0.172
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 1 0.5550 0.5072 0.692 0.000 0.060 0.248
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 1 0.2973 0.7996 0.856 0.000 0.000 0.144
#> 58F11B66-AE40-417E-B465-811C6CF7311C 2 0.4661 0.4511 0.000 0.652 0.000 0.348
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.1792 0.8309 0.932 0.000 0.000 0.068
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 2 0.4755 0.6411 0.200 0.760 0.000 0.040
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 2 0.0707 0.8474 0.000 0.980 0.000 0.020
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 2 0.0000 0.8488 0.000 1.000 0.000 0.000
#> 739952C6-FF36-4E34-B881-E02FE17C4012 2 0.5268 0.1398 0.008 0.540 0.000 0.452
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 4 0.4877 0.2506 0.408 0.000 0.000 0.592
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 2 0.0469 0.8484 0.000 0.988 0.000 0.012
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 4 0.4522 0.5149 0.320 0.000 0.000 0.680
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 4 0.4643 0.4886 0.344 0.000 0.000 0.656
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 1 0.4072 0.6795 0.748 0.000 0.000 0.252
#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 4 0.3311 0.7636 0.000 0.172 0.000 0.828
#> F6B26185-139B-47A7-91EC-E885D94AC882 2 0.1022 0.8445 0.000 0.968 0.000 0.032
#> 81F30B6F-3E9A-4913-986B-C56D5F107A17 4 0.4898 0.5111 0.000 0.416 0.000 0.584
#> 2CCB3AE1-0D27-4493-B7AE-67C60BBC1C38 2 0.4289 0.6989 0.000 0.796 0.032 0.172
#> 329665BC-B959-47C5-B831-5546F94EDAC1 4 0.4907 0.3383 0.000 0.420 0.000 0.580
#> 8D4335F6-6ACB-4E38-B9F2-A2B5B647AE90 2 0.6289 0.5343 0.116 0.648 0.000 0.236
#> D181D0D8-FD8C-4259-9B34-97224CF27E1B 2 0.0592 0.8487 0.000 0.984 0.000 0.016
#> C0C10950-ABC5-4125-A33E-5AFA2D2574B0 2 0.3647 0.7332 0.016 0.832 0.000 0.152
#> 834D12DB-0925-422C-B15B-20A60A5F658C 2 0.0921 0.8457 0.000 0.972 0.000 0.028
#> 50314689-519F-4B27-884C-7816DD64CF4E 1 0.2973 0.7964 0.856 0.000 0.000 0.144
#> 2502A23E-E168-4A78-9C14-B93FBC9715B1 1 0.0000 0.8694 1.000 0.000 0.000 0.000
#> 3F8D01A3-5449-48A1-BDBA-BFE4D908AE31 4 0.3311 0.7636 0.000 0.172 0.000 0.828
#> 1C47A87B-C033-4705-B903-DB33B8C6EC34 4 0.4134 0.6879 0.000 0.260 0.000 0.740
#> 1329E1C1-743E-4541-9081-165572D4BF47 2 0.4072 0.6455 0.000 0.748 0.000 0.252
#> 1F3F8680-EEB6-4532-B81D-51957D1EA502 1 0.4228 0.6927 0.760 0.008 0.000 0.232
#> 50F69785-8B7A-4933-85B1-8DC539ACC72A 1 0.1211 0.8566 0.960 0.000 0.000 0.040
#> 9095FDD8-EEB2-4B17-85AB-3CDAC0BEC759 4 0.4697 0.5461 0.296 0.008 0.000 0.696
#> B6BF8C22-03E4-44F0-B2EF-2A3DD6ADE7D7 4 0.4379 0.7579 0.036 0.172 0.000 0.792
#> D6A907FC-3A1B-4E3B-A440-1CE9BE9B334B 2 0.1118 0.8384 0.000 0.964 0.000 0.036
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#> D4276C6F-9F0F-4F74-A85E-1E54272ADDED 2 0.0000 0.8488 0.000 1.000 0.000 0.000
#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 2 0.0188 0.8489 0.000 0.996 0.000 0.004
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 2 0.4250 0.6192 0.000 0.724 0.000 0.276
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 4 0.5193 0.5084 0.000 0.412 0.008 0.580
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 1 0.0000 0.8694 1.000 0.000 0.000 0.000
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 3 0.0000 0.9330 0.000 0.000 1.000 0.000
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 4 0.3837 0.5888 0.224 0.000 0.000 0.776
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 1 0.0336 0.8680 0.992 0.000 0.000 0.008
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 2 0.4331 0.6027 0.000 0.712 0.000 0.288
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 2 0.1118 0.8436 0.000 0.964 0.000 0.036
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 2 0.1211 0.8413 0.000 0.960 0.000 0.040
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 2 0.0921 0.8415 0.000 0.972 0.000 0.028
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 4 0.4761 0.5027 0.000 0.372 0.000 0.628
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 2 0.0000 0.8488 0.000 1.000 0.000 0.000
#> C7997523-47CF-40F0-8803-AB873E38033C 2 0.0817 0.8467 0.000 0.976 0.000 0.024
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 2 0.1211 0.8399 0.000 0.960 0.000 0.040
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 3 0.5334 0.7829 0.000 0.088 0.740 0.172
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 1 0.3266 0.7096 0.832 0.000 0.168 0.000
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 1 0.0000 0.8694 1.000 0.000 0.000 0.000
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 2 0.3219 0.7361 0.000 0.836 0.000 0.164
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 2 0.0592 0.8481 0.000 0.984 0.000 0.016
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 3 0.0000 0.9330 0.000 0.000 1.000 0.000
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 2 0.0469 0.8484 0.000 0.988 0.000 0.012
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 4 0.3494 0.7635 0.004 0.172 0.000 0.824
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.0000 0.8694 1.000 0.000 0.000 0.000
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 4 0.3801 0.5923 0.220 0.000 0.000 0.780
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 4 0.4972 0.2795 0.456 0.000 0.000 0.544
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 2 0.2921 0.7654 0.000 0.860 0.000 0.140
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 2 0.3801 0.6840 0.000 0.780 0.000 0.220
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 2 0.1118 0.8384 0.000 0.964 0.000 0.036
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 2 0.1389 0.8373 0.000 0.952 0.000 0.048
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.0000 0.8694 1.000 0.000 0.000 0.000
#> E15EAAB4-0860-4716-9922-667F604CDF12 4 0.5727 0.6362 0.236 0.076 0.000 0.688
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 4 0.4888 0.5110 0.000 0.412 0.000 0.588
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 4 0.3356 0.7634 0.000 0.176 0.000 0.824
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 4 0.5349 0.6560 0.004 0.320 0.020 0.656
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.0000 0.8694 1.000 0.000 0.000 0.000
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 2 0.1118 0.8384 0.000 0.964 0.000 0.036
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 2 0.0000 0.8488 0.000 1.000 0.000 0.000
#> E2A4C651-977F-4F40-B5EC-46DF75944141 4 0.5427 0.7350 0.100 0.164 0.000 0.736
#> 433599CC-9DF5-4494-A607-8079FFE74D95 4 0.6346 0.5617 0.244 0.116 0.000 0.640
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 2 0.3907 0.6780 0.000 0.768 0.000 0.232
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 3 0.3764 0.8560 0.000 0.012 0.816 0.172
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.0000 0.8694 1.000 0.000 0.000 0.000
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 4 0.4643 0.6239 0.000 0.344 0.000 0.656
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 4 0.6586 0.6828 0.156 0.216 0.000 0.628
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.0000 0.9330 0.000 0.000 1.000 0.000
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 2 0.4257 0.7207 0.000 0.812 0.048 0.140
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 2 0.7448 -0.1500 0.000 0.428 0.400 0.172
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.0188 0.8490 0.000 0.996 0.000 0.004
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 4 0.4855 0.4060 0.000 0.400 0.000 0.600
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.1118 0.8384 0.000 0.964 0.000 0.036
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 4 0.4972 0.2795 0.456 0.000 0.000 0.544
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 2 0.4746 0.4670 0.000 0.632 0.000 0.368
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.0000 0.8694 1.000 0.000 0.000 0.000
#> 057B580C-13FD-4185-943C-9DD5266B8554 4 0.3649 0.7577 0.000 0.204 0.000 0.796
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 2 0.4585 0.5211 0.000 0.668 0.000 0.332
#> 287F3696-25CF-4E67-A934-E50856AD4790 2 0.3311 0.7267 0.000 0.828 0.000 0.172
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.0000 0.8488 0.000 1.000 0.000 0.000
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 2 0.1716 0.8309 0.000 0.936 0.000 0.064
#> B80A74AB-A264-4396-93F8-FD976DBC1456 2 0.4379 0.6948 0.000 0.792 0.036 0.172
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.0592 0.8481 0.000 0.984 0.000 0.016
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 4 0.4477 0.4750 0.312 0.000 0.000 0.688
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 4 0.4661 0.4826 0.348 0.000 0.000 0.652
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 2 0.0592 0.8481 0.000 0.984 0.000 0.016
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 2 0.1302 0.8385 0.000 0.956 0.000 0.044
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.0469 0.8484 0.000 0.988 0.000 0.012
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 4 0.4981 0.2604 0.464 0.000 0.000 0.536
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 2 0.4304 0.6087 0.000 0.716 0.000 0.284
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.1022 0.8401 0.000 0.968 0.000 0.032
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 4 0.3837 0.5888 0.224 0.000 0.000 0.776
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.0921 0.8456 0.000 0.972 0.000 0.028
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 2 0.2647 0.7877 0.000 0.880 0.000 0.120
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 2 0.2760 0.7802 0.000 0.872 0.000 0.128
#> DD292494-92A2-43CB-B59B-726B2F429B29 2 0.4164 0.6330 0.000 0.736 0.000 0.264
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 4 0.4643 0.4886 0.344 0.000 0.000 0.656
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 4 0.3311 0.7636 0.000 0.172 0.000 0.828
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 2 0.0592 0.8481 0.000 0.984 0.000 0.016
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 2 0.3356 0.7334 0.000 0.824 0.000 0.176
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 4 0.3991 0.7618 0.020 0.172 0.000 0.808
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.0000 0.8694 1.000 0.000 0.000 0.000
#> 74CF740D-201D-4070-99B9-F007E7C4D472 4 0.3975 0.7404 0.000 0.240 0.000 0.760
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 4 0.4134 0.6915 0.000 0.260 0.000 0.740
#> 78F28873-E471-497A-9405-FB8955808599 2 0.4222 0.4873 0.000 0.728 0.000 0.272
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.1305 0.8365 0.004 0.960 0.000 0.036
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.0469 0.8484 0.000 0.988 0.000 0.012
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 2 0.3837 0.6793 0.000 0.776 0.000 0.224
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.0000 0.963134 0.000 0.000 1.000 0.000 0.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.6070 0.294130 0.444 0.000 0.000 0.120 0.436
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 4 0.5293 0.206360 0.460 0.048 0.000 0.492 0.000
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.5680 0.303864 0.492 0.000 0.000 0.080 0.428
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.6384 0.288144 0.444 0.000 0.000 0.168 0.388
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.6070 0.294130 0.444 0.000 0.000 0.120 0.436
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.0794 0.788539 0.000 0.972 0.000 0.000 0.028
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.0162 0.804461 0.000 0.996 0.000 0.000 0.004
#> 18971368-40F0-42D3-B1A3-707850C53B18 4 0.1908 0.644225 0.092 0.000 0.000 0.908 0.000
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 1 0.6312 0.103020 0.524 0.200 0.000 0.276 0.000
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 2 0.2570 0.807063 0.028 0.888 0.000 0.084 0.000
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 2 0.0794 0.788539 0.000 0.972 0.000 0.000 0.028
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 4 0.2605 0.623437 0.148 0.000 0.000 0.852 0.000
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 1 0.5876 -0.092218 0.488 0.100 0.000 0.412 0.000
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.6070 0.294130 0.444 0.000 0.000 0.120 0.436
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 5 0.4256 0.217601 0.000 0.000 0.436 0.000 0.564
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 1 0.5820 0.147589 0.524 0.376 0.000 0.100 0.000
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 1 0.5902 0.213718 0.556 0.320 0.000 0.124 0.000
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.4403 0.308747 0.560 0.000 0.000 0.004 0.436
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.6070 0.294130 0.444 0.000 0.000 0.120 0.436
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 2 0.2329 0.801390 0.000 0.876 0.000 0.124 0.000
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 2 0.1668 0.807865 0.000 0.940 0.000 0.032 0.028
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 4 0.5027 0.586473 0.112 0.188 0.000 0.700 0.000
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 1 0.6070 0.294130 0.444 0.000 0.000 0.120 0.436
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 1 0.6169 0.081549 0.472 0.392 0.000 0.136 0.000
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 1 0.4295 0.265531 0.808 0.052 0.000 0.048 0.092
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.6070 0.294130 0.444 0.000 0.000 0.120 0.436
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 4 0.4617 0.643383 0.148 0.108 0.000 0.744 0.000
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.0404 0.808609 0.012 0.988 0.000 0.000 0.000
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 5 0.5341 0.355527 0.000 0.060 0.376 0.000 0.564
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 1 0.5708 0.167528 0.556 0.348 0.000 0.096 0.000
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.0794 0.788539 0.000 0.972 0.000 0.000 0.028
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.6070 0.294130 0.444 0.000 0.000 0.120 0.436
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 2 0.1830 0.815000 0.008 0.924 0.000 0.068 0.000
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 1 0.6287 0.017370 0.512 0.176 0.000 0.312 0.000
#> BE56F908-42DD-4019-A8AC-48884DA788B1 1 0.6055 -0.087507 0.472 0.120 0.000 0.408 0.000
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 4 0.6060 0.445729 0.208 0.216 0.000 0.576 0.000
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 4 0.2179 0.690657 0.100 0.004 0.000 0.896 0.000
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 3 0.0000 0.963134 0.000 0.000 1.000 0.000 0.000
#> 791D9EB8-42E0-4192-B064-B1126CA14481 2 0.4300 0.722654 0.132 0.772 0.000 0.096 0.000
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 2 0.0794 0.788539 0.000 0.972 0.000 0.000 0.028
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 2 0.1478 0.815321 0.000 0.936 0.000 0.064 0.000
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.6070 0.294130 0.444 0.000 0.000 0.120 0.436
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.4096 0.262899 0.760 0.000 0.000 0.040 0.200
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 3 0.0000 0.963134 0.000 0.000 1.000 0.000 0.000
#> D47C7B74-BB01-4614-B683-652F7130729C 2 0.0794 0.788539 0.000 0.972 0.000 0.000 0.028
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 1 0.5902 0.213718 0.556 0.320 0.000 0.124 0.000
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 1 0.6153 0.000058 0.460 0.408 0.000 0.132 0.000
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.2424 0.281652 0.868 0.000 0.000 0.000 0.132
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.2511 0.808518 0.028 0.892 0.000 0.080 0.000
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.6070 0.294130 0.444 0.000 0.000 0.120 0.436
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 1 0.5925 0.219653 0.556 0.316 0.000 0.128 0.000
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 2 0.0000 0.806486 0.000 1.000 0.000 0.000 0.000
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 2 0.4015 0.034709 0.000 0.652 0.000 0.000 0.348
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 4 0.7789 -0.047271 0.332 0.000 0.060 0.344 0.264
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 1 0.4639 0.307705 0.612 0.000 0.000 0.020 0.368
#> 58F11B66-AE40-417E-B465-811C6CF7311C 2 0.6512 0.090348 0.348 0.452 0.000 0.200 0.000
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.6734 0.166209 0.416 0.000 0.000 0.292 0.292
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 2 0.3863 0.552665 0.248 0.740 0.000 0.012 0.000
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 2 0.2946 0.798171 0.044 0.868 0.000 0.088 0.000
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 2 0.0000 0.806486 0.000 1.000 0.000 0.000 0.000
#> 739952C6-FF36-4E34-B881-E02FE17C4012 1 0.6083 0.222378 0.564 0.260 0.000 0.176 0.000
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 1 0.4404 -0.033467 0.712 0.000 0.000 0.252 0.036
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 2 0.1544 0.814934 0.000 0.932 0.000 0.068 0.000
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 4 0.3932 0.558928 0.328 0.000 0.000 0.672 0.000
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 4 0.2280 0.633192 0.120 0.000 0.000 0.880 0.000
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 1 0.1774 0.255579 0.932 0.000 0.000 0.016 0.052
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#> CD3B289F-FAE1-405F-875F-23C1D2609DFC 1 0.6524 0.134969 0.444 0.356 0.000 0.200 0.000
#> D1C0E70B-B2BB-4FE7-8DEC-B50659739BAA 2 0.0794 0.788539 0.000 0.972 0.000 0.000 0.028
#> D2417A9C-CBF0-47F6-B20C-FB32AF632A84 1 0.5865 0.197238 0.552 0.332 0.000 0.116 0.000
#> EF5618C6-6AFB-4FB5-A32B-7946F18E9736 1 0.3366 0.290917 0.768 0.000 0.000 0.000 0.232
#> 36040CAB-FF77-4540-BB44-7961A6A54B29 2 0.0794 0.788539 0.000 0.972 0.000 0.000 0.028
#> 3808C3A9-22DA-4DC5-9F51-884A7EF574E6 4 0.4216 0.651087 0.120 0.100 0.000 0.780 0.000
#> 24363857-9A33-40D4-8409-C17225570833 2 0.2189 0.813508 0.012 0.904 0.000 0.084 0.000
#> A57E6132-9B76-493A-A167-8462263B7CDB 1 0.4696 0.220516 0.736 0.108 0.000 0.156 0.000
#> 4C020890-E652-4DE4-B66D-5F6F71405F64 1 0.5933 -0.153573 0.452 0.104 0.000 0.444 0.000
#> 90C991CD-412E-4318-96E3-EB84B868FE9F 2 0.0794 0.788539 0.000 0.972 0.000 0.000 0.028
#> FA8E73EA-649C-43ED-854E-B9472820D1C6 1 0.5708 0.166938 0.556 0.348 0.000 0.096 0.000
#> 4D46B5DE-186A-4D35-8E1B-64701C13BC69 5 0.4262 0.547241 0.000 0.440 0.000 0.000 0.560
#> D516A82D-2F77-46B2-90F7-30BA5C78AAC8 2 0.2331 0.811223 0.020 0.900 0.000 0.080 0.000
#> 1FBD0805-13AE-4A82-8B94-640E1C921262 3 0.0000 0.963134 0.000 0.000 1.000 0.000 0.000
#> 264525A9-F7DB-4012-A93B-CF8A7626F125 2 0.4101 0.025337 0.000 0.628 0.000 0.000 0.372
#> AFF029D8-FFC9-4AA9-8049-F1E27C743F6F 4 0.5891 0.170360 0.432 0.100 0.000 0.468 0.000
#> 5B65768D-0E81-4469-9D69-69B07ED5ACD5 4 0.3521 0.603939 0.004 0.232 0.000 0.764 0.000
#> 2CB06CA6-8D1F-4BC7-99BE-66921805B8FD 2 0.0162 0.804540 0.000 0.996 0.000 0.000 0.004
#> 956357FB-9AB3-497C-BB55-9D15B486A422 1 0.5987 0.081092 0.556 0.140 0.000 0.304 0.000
#> C8F2BAD0-7124-46BF-975C-4B44BE980F93 1 0.6070 0.294130 0.444 0.000 0.000 0.120 0.436
#> E96AE267-3E23-4EA9-93E2-D92558155A17 3 0.0000 0.963134 0.000 0.000 1.000 0.000 0.000
#> 1C8DCA5B-965B-485A-83B6-5CBEB2117E47 2 0.3967 0.748715 0.108 0.800 0.000 0.092 0.000
#> DEAB79F5-336A-49B4-8046-AEE2F567FE46 1 0.6070 0.294130 0.444 0.000 0.000 0.120 0.436
#> 767FE89E-E19F-4F56-A744-CB3C5CCC085B 1 0.5902 0.213718 0.556 0.320 0.000 0.124 0.000
#> 7B0BF632-79E5-46B5-AAC8-4A6D5A193449 5 0.6149 0.598585 0.000 0.296 0.164 0.000 0.540
#> 9A281EDE-FF96-4E66-AEF4-692BDFA8E99D 2 0.3644 0.766173 0.096 0.824 0.000 0.080 0.000
#> B8C2D019-00C9-4E1E-8383-4FE2FFB4D2D7 3 0.0000 0.963134 0.000 0.000 1.000 0.000 0.000
#> 39A9B95F-186B-4550-9271-001151B1A626 2 0.6387 0.175301 0.180 0.588 0.000 0.020 0.212
#> CAD6E491-88FB-4221-90E9-AC9C68AECCB0 1 0.4410 -0.091812 0.556 0.004 0.000 0.440 0.000
#> 15EFBC5B-C713-4718-BB6F-0EBBE4D6997F 2 0.5571 0.376610 0.348 0.568 0.000 0.084 0.000
#> BBA00038-09B1-461D-9F8E-484890B0D130 4 0.4951 0.602886 0.196 0.100 0.000 0.704 0.000
#> 16EBB885-A692-42A6-9027-F6AD769E0ABB 4 0.3274 0.582068 0.220 0.000 0.000 0.780 0.000
#> 2D57E24B-97A6-4B85-BC8F-3E02DDC6C460 2 0.1478 0.742850 0.000 0.936 0.000 0.000 0.064
#> C6E39F86-9DEF-4BCA-930B-2A3993D18901 2 0.0693 0.811875 0.012 0.980 0.000 0.008 0.000
#> 5BE4D8E9-DA18-426F-8AE6-075B15010390 4 0.3508 0.644475 0.252 0.000 0.000 0.748 0.000
#> 8E9CAAC7-31D3-473C-821C-2DAD37B44D3A 2 0.0000 0.806486 0.000 1.000 0.000 0.000 0.000
#> 368CFCA3-7BAB-4D6D-9AE1-55713A9965C1 3 0.1908 0.846536 0.000 0.000 0.908 0.092 0.000
#> 14DB79EF-DE2B-4197-AD32-F657E0655FCD 2 0.5500 0.567595 0.236 0.640 0.000 0.124 0.000
#> E73BCFCB-C5FE-4BF2-A236-B9E69711C121 1 0.5902 0.213718 0.556 0.320 0.000 0.124 0.000
#> CDAFAFEA-365B-4F25-AEC0-639B6E0CB626 1 0.5902 0.213718 0.556 0.320 0.000 0.124 0.000
#> 48A2AAEB-7F60-4284-808E-2058A531B17C 2 0.0000 0.806486 0.000 1.000 0.000 0.000 0.000
#> D4276C6F-9F0F-4F74-A85E-1E54272ADDED 2 0.0000 0.806486 0.000 1.000 0.000 0.000 0.000
#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 2 0.1410 0.815778 0.000 0.940 0.000 0.060 0.000
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 1 0.6021 0.043130 0.476 0.408 0.000 0.116 0.000
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 4 0.3491 0.604508 0.000 0.228 0.004 0.768 0.000
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 1 0.6070 0.294130 0.444 0.000 0.000 0.120 0.436
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 3 0.0000 0.963134 0.000 0.000 1.000 0.000 0.000
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 1 0.4310 -0.301861 0.604 0.004 0.000 0.392 0.000
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 1 0.6066 0.296473 0.456 0.000 0.000 0.120 0.424
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 1 0.5902 0.213718 0.556 0.320 0.000 0.124 0.000
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 2 0.4444 0.710296 0.136 0.760 0.000 0.104 0.000
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 2 0.3055 0.793026 0.064 0.864 0.000 0.072 0.000
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 2 0.0609 0.794419 0.000 0.980 0.000 0.000 0.020
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 1 0.6246 0.112358 0.536 0.192 0.000 0.272 0.000
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 2 0.0000 0.806486 0.000 1.000 0.000 0.000 0.000
#> C7997523-47CF-40F0-8803-AB873E38033C 2 0.4247 0.727193 0.132 0.776 0.000 0.092 0.000
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 2 0.1668 0.807862 0.000 0.940 0.000 0.032 0.028
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 5 0.5386 0.366143 0.000 0.064 0.372 0.000 0.564
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 1 0.7922 0.153799 0.404 0.000 0.156 0.120 0.320
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 1 0.6070 0.294130 0.444 0.000 0.000 0.120 0.436
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 2 0.1965 0.690197 0.000 0.904 0.000 0.000 0.096
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 2 0.2511 0.809103 0.028 0.892 0.000 0.080 0.000
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 3 0.0000 0.963134 0.000 0.000 1.000 0.000 0.000
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 2 0.2962 0.799200 0.048 0.868 0.000 0.084 0.000
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 4 0.2536 0.684374 0.128 0.004 0.000 0.868 0.000
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.6070 0.294130 0.444 0.000 0.000 0.120 0.436
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 4 0.4227 0.554505 0.420 0.000 0.000 0.580 0.000
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 4 0.3274 0.582068 0.220 0.000 0.000 0.780 0.000
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 2 0.3534 0.498251 0.000 0.744 0.000 0.256 0.000
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 2 0.5700 0.250439 0.380 0.532 0.000 0.088 0.000
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 2 0.0794 0.788539 0.000 0.972 0.000 0.000 0.028
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 2 0.3955 0.745980 0.116 0.800 0.000 0.084 0.000
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.6070 0.294130 0.444 0.000 0.000 0.120 0.436
#> E15EAAB4-0860-4716-9922-667F604CDF12 4 0.1410 0.671074 0.060 0.000 0.000 0.940 0.000
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 4 0.2424 0.654737 0.000 0.132 0.000 0.868 0.000
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 4 0.2439 0.684151 0.120 0.004 0.000 0.876 0.000
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 4 0.4709 0.629377 0.044 0.196 0.020 0.740 0.000
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.6070 0.294130 0.444 0.000 0.000 0.120 0.436
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 2 0.0794 0.788539 0.000 0.972 0.000 0.000 0.028
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 2 0.0000 0.806486 0.000 1.000 0.000 0.000 0.000
#> E2A4C651-977F-4F40-B5EC-46DF75944141 4 0.2793 0.683528 0.036 0.088 0.000 0.876 0.000
#> 433599CC-9DF5-4494-A607-8079FFE74D95 1 0.5825 -0.242782 0.536 0.104 0.000 0.360 0.000
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 2 0.5889 0.160814 0.428 0.472 0.000 0.100 0.000
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 5 0.4256 0.217601 0.000 0.000 0.436 0.000 0.564
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.6070 0.294130 0.444 0.000 0.000 0.120 0.436
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 4 0.2722 0.668834 0.020 0.108 0.000 0.872 0.000
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 4 0.0794 0.677543 0.028 0.000 0.000 0.972 0.000
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.0000 0.963134 0.000 0.000 1.000 0.000 0.000
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 2 0.5232 -0.409872 0.000 0.500 0.044 0.000 0.456
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 5 0.6128 0.567001 0.000 0.232 0.204 0.000 0.564
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.0898 0.814481 0.008 0.972 0.000 0.020 0.000
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 1 0.6545 0.055980 0.448 0.208 0.000 0.344 0.000
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.0794 0.788539 0.000 0.972 0.000 0.000 0.028
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 4 0.3305 0.579341 0.224 0.000 0.000 0.776 0.000
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 2 0.6396 -0.352847 0.000 0.452 0.000 0.172 0.376
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.6101 0.293301 0.444 0.000 0.000 0.124 0.432
#> 057B580C-13FD-4185-943C-9DD5266B8554 4 0.5177 0.596224 0.180 0.132 0.000 0.688 0.000
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 1 0.6179 0.212873 0.556 0.216 0.000 0.228 0.000
#> 287F3696-25CF-4E67-A934-E50856AD4790 2 0.2074 0.678629 0.000 0.896 0.000 0.000 0.104
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.0000 0.806486 0.000 1.000 0.000 0.000 0.000
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 2 0.4807 0.676074 0.140 0.728 0.000 0.132 0.000
#> B80A74AB-A264-4396-93F8-FD976DBC1456 5 0.4833 0.594812 0.000 0.412 0.024 0.000 0.564
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.2813 0.802119 0.040 0.876 0.000 0.084 0.000
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.4404 -0.103884 0.684 0.000 0.000 0.292 0.024
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 4 0.4201 0.426658 0.408 0.000 0.000 0.592 0.000
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 2 0.2046 0.815149 0.016 0.916 0.000 0.068 0.000
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 2 0.2278 0.812081 0.000 0.908 0.000 0.060 0.032
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.2654 0.804334 0.032 0.884 0.000 0.084 0.000
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 4 0.3789 0.565918 0.224 0.000 0.000 0.760 0.016
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 1 0.5902 0.213718 0.556 0.320 0.000 0.124 0.000
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.0703 0.791670 0.000 0.976 0.000 0.000 0.024
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.4135 -0.184769 0.656 0.004 0.000 0.340 0.000
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.3401 0.783244 0.064 0.840 0.000 0.096 0.000
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 2 0.4923 0.621750 0.212 0.700 0.000 0.088 0.000
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 2 0.5140 0.573889 0.252 0.664 0.000 0.084 0.000
#> DD292494-92A2-43CB-B59B-726B2F429B29 1 0.5781 0.174312 0.552 0.344 0.000 0.104 0.000
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 4 0.3242 0.586174 0.216 0.000 0.000 0.784 0.000
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 1 0.5739 0.015415 0.556 0.100 0.000 0.344 0.000
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 2 0.2325 0.813144 0.028 0.904 0.000 0.068 0.000
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 2 0.5616 0.334907 0.364 0.552 0.000 0.084 0.000
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 4 0.2516 0.687438 0.140 0.000 0.000 0.860 0.000
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.6070 0.294130 0.444 0.000 0.000 0.120 0.436
#> 74CF740D-201D-4070-99B9-F007E7C4D472 4 0.5562 0.547745 0.200 0.156 0.000 0.644 0.000
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 4 0.6394 0.162426 0.404 0.168 0.000 0.428 0.000
#> 78F28873-E471-497A-9405-FB8955808599 2 0.4201 0.349654 0.000 0.592 0.000 0.408 0.000
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.0794 0.788539 0.000 0.972 0.000 0.000 0.028
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.1792 0.812874 0.000 0.916 0.000 0.084 0.000
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 2 0.5718 0.166081 0.420 0.496 0.000 0.084 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.0000 0.9648 0.000 0.000 1.000 0.000 0.000 0.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.0000 0.9277 1.000 0.000 0.000 0.000 0.000 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 4 0.3531 0.5043 0.000 0.000 0.000 0.672 0.000 0.328
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.0363 0.9197 0.988 0.000 0.000 0.000 0.000 0.012
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.1616 0.8808 0.932 0.000 0.000 0.020 0.000 0.048
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.0000 0.9277 1.000 0.000 0.000 0.000 0.000 0.000
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.0000 0.8064 0.000 1.000 0.000 0.000 0.000 0.000
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.0000 0.8064 0.000 1.000 0.000 0.000 0.000 0.000
#> 18971368-40F0-42D3-B1A3-707850C53B18 6 0.0000 0.7764 0.000 0.000 0.000 0.000 0.000 1.000
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 4 0.2006 0.7598 0.000 0.016 0.000 0.904 0.000 0.080
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 2 0.2823 0.8088 0.000 0.796 0.000 0.204 0.000 0.000
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 2 0.0000 0.8064 0.000 1.000 0.000 0.000 0.000 0.000
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 6 0.1663 0.7615 0.088 0.000 0.000 0.000 0.000 0.912
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 4 0.2520 0.7144 0.004 0.000 0.000 0.844 0.000 0.152
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.0000 0.9277 1.000 0.000 0.000 0.000 0.000 0.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 5 0.0000 0.8853 0.000 0.000 0.000 0.000 1.000 0.000
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 4 0.1812 0.7573 0.000 0.080 0.000 0.912 0.000 0.008
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 4 0.0000 0.7874 0.000 0.000 0.000 1.000 0.000 0.000
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.0000 0.9277 1.000 0.000 0.000 0.000 0.000 0.000
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#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 6 0.0363 0.7736 0.000 0.000 0.000 0.012 0.000 0.988
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 6 0.0000 0.7764 0.000 0.000 0.000 0.000 0.000 1.000
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.0000 0.9648 0.000 0.000 1.000 0.000 0.000 0.000
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 5 0.3857 0.6939 0.000 0.148 0.064 0.008 0.780 0.000
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 5 0.0000 0.8853 0.000 0.000 0.000 0.000 1.000 0.000
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.1204 0.8208 0.000 0.944 0.000 0.056 0.000 0.000
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 4 0.4527 0.5878 0.000 0.068 0.000 0.660 0.000 0.272
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.0000 0.8064 0.000 1.000 0.000 0.000 0.000 0.000
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 6 0.2730 0.7145 0.192 0.000 0.000 0.000 0.000 0.808
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 5 0.4109 0.5479 0.000 0.328 0.000 0.008 0.652 0.012
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.0146 0.9251 0.996 0.000 0.000 0.000 0.000 0.004
#> 057B580C-13FD-4185-943C-9DD5266B8554 6 0.3266 0.6582 0.000 0.000 0.000 0.272 0.000 0.728
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 4 0.2948 0.6409 0.000 0.008 0.000 0.804 0.000 0.188
#> 287F3696-25CF-4E67-A934-E50856AD4790 2 0.0458 0.7976 0.000 0.984 0.000 0.000 0.016 0.000
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.0000 0.8064 0.000 1.000 0.000 0.000 0.000 0.000
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 2 0.3961 0.5228 0.000 0.556 0.000 0.440 0.000 0.004
#> B80A74AB-A264-4396-93F8-FD976DBC1456 5 0.0000 0.8853 0.000 0.000 0.000 0.000 1.000 0.000
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.2996 0.7964 0.000 0.772 0.000 0.228 0.000 0.000
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 4 0.5440 0.4558 0.224 0.000 0.000 0.576 0.000 0.200
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 6 0.5738 0.2746 0.192 0.000 0.000 0.312 0.000 0.496
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 2 0.2562 0.8212 0.000 0.828 0.000 0.172 0.000 0.000
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 2 0.2442 0.8270 0.000 0.852 0.000 0.144 0.004 0.000
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.3198 0.7721 0.000 0.740 0.000 0.260 0.000 0.000
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 6 0.2969 0.6861 0.224 0.000 0.000 0.000 0.000 0.776
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 4 0.0000 0.7874 0.000 0.000 0.000 1.000 0.000 0.000
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.0000 0.8064 0.000 1.000 0.000 0.000 0.000 0.000
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 4 0.5434 0.4376 0.192 0.000 0.000 0.576 0.000 0.232
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.3330 0.7566 0.000 0.716 0.000 0.284 0.000 0.000
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 2 0.3868 0.3194 0.000 0.508 0.000 0.492 0.000 0.000
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 4 0.3866 -0.2492 0.000 0.484 0.000 0.516 0.000 0.000
#> DD292494-92A2-43CB-B59B-726B2F429B29 4 0.0363 0.7861 0.000 0.012 0.000 0.988 0.000 0.000
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 6 0.2664 0.7209 0.184 0.000 0.000 0.000 0.000 0.816
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 4 0.0146 0.7875 0.000 0.000 0.000 0.996 0.000 0.004
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 2 0.2664 0.8176 0.000 0.816 0.000 0.184 0.000 0.000
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 4 0.3607 0.2995 0.000 0.348 0.000 0.652 0.000 0.000
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 6 0.0000 0.7764 0.000 0.000 0.000 0.000 0.000 1.000
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.0000 0.9277 1.000 0.000 0.000 0.000 0.000 0.000
#> 74CF740D-201D-4070-99B9-F007E7C4D472 6 0.3737 0.4971 0.000 0.000 0.000 0.392 0.000 0.608
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 4 0.3534 0.4474 0.000 0.008 0.000 0.716 0.000 0.276
#> 78F28873-E471-497A-9405-FB8955808599 6 0.5803 -0.0614 0.000 0.408 0.000 0.180 0.000 0.412
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.0000 0.8064 0.000 1.000 0.000 0.000 0.000 0.000
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.2793 0.8097 0.000 0.800 0.000 0.200 0.000 0.000
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 4 0.3351 0.5040 0.000 0.288 0.000 0.712 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", "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 17397 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 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 0.300 0.706 0.860 0.4650 0.554 0.554
#> 3 3 0.553 0.790 0.889 0.3494 0.663 0.462
#> 4 4 0.649 0.746 0.872 0.0410 0.906 0.772
#> 5 5 0.589 0.662 0.813 0.0716 0.933 0.825
#> 6 6 0.570 0.601 0.751 0.0354 0.931 0.801
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
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 1 0.7883 0.71133 0.764 0.236
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.0000 0.87100 1.000 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 2 0.5519 0.81030 0.128 0.872
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.0000 0.87100 1.000 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.0000 0.87100 1.000 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.0000 0.87100 1.000 0.000
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.9775 0.19681 0.412 0.588
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.0000 0.80230 0.000 1.000
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.9881 0.00153 0.564 0.436
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 2 0.8555 0.67241 0.280 0.720
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 2 0.8443 0.68199 0.272 0.728
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 2 0.4690 0.74385 0.100 0.900
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.0000 0.87100 1.000 0.000
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 2 0.5519 0.81030 0.128 0.872
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.0000 0.87100 1.000 0.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 2 0.9795 0.18594 0.416 0.584
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 2 0.4939 0.81223 0.108 0.892
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 2 0.5519 0.81030 0.128 0.872
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.0000 0.87100 1.000 0.000
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.0000 0.87100 1.000 0.000
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 2 0.0000 0.80230 0.000 1.000
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 2 0.9795 0.18594 0.416 0.584
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 2 0.7883 0.70989 0.236 0.764
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 1 0.0000 0.87100 1.000 0.000
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 2 0.0938 0.80573 0.012 0.988
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 1 0.9323 0.28607 0.652 0.348
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.0000 0.87100 1.000 0.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 2 0.5519 0.81030 0.128 0.872
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.0000 0.80230 0.000 1.000
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 2 0.9795 0.18594 0.416 0.584
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 2 0.5519 0.81030 0.128 0.872
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.0000 0.80230 0.000 1.000
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.0000 0.87100 1.000 0.000
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 2 0.0000 0.80230 0.000 1.000
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 2 0.8386 0.68409 0.268 0.732
#> BE56F908-42DD-4019-A8AC-48884DA788B1 2 0.2603 0.81062 0.044 0.956
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 2 0.5519 0.81030 0.128 0.872
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 2 0.5519 0.81030 0.128 0.872
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 1 0.7883 0.71133 0.764 0.236
#> 791D9EB8-42E0-4192-B064-B1126CA14481 2 0.5519 0.81030 0.128 0.872
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 2 0.8327 0.52382 0.264 0.736
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 2 0.0000 0.80230 0.000 1.000
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.0000 0.87100 1.000 0.000
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.0000 0.87100 1.000 0.000
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 1 0.7745 0.71836 0.772 0.228
#> D47C7B74-BB01-4614-B683-652F7130729C 2 0.9815 0.17501 0.420 0.580
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 2 0.5519 0.81030 0.128 0.872
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 2 0.5519 0.81030 0.128 0.872
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.0000 0.87100 1.000 0.000
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.3114 0.81188 0.056 0.944
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.0000 0.87100 1.000 0.000
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 2 0.5519 0.81030 0.128 0.872
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 2 0.0000 0.80230 0.000 1.000
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 2 0.9795 0.18594 0.416 0.584
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 1 0.0000 0.87100 1.000 0.000
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 1 0.0000 0.87100 1.000 0.000
#> 58F11B66-AE40-417E-B465-811C6CF7311C 1 0.9323 0.28382 0.652 0.348
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.0000 0.87100 1.000 0.000
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 1 0.9775 0.22350 0.588 0.412
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 2 0.0938 0.80573 0.012 0.988
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 2 0.0000 0.80230 0.000 1.000
#> 739952C6-FF36-4E34-B881-E02FE17C4012 2 0.5519 0.81030 0.128 0.872
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 1 0.0000 0.87100 1.000 0.000
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 2 0.0000 0.80230 0.000 1.000
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 1 0.8144 0.54021 0.748 0.252
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 1 0.0000 0.87100 1.000 0.000
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 1 0.0000 0.87100 1.000 0.000
#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 2 0.5519 0.81030 0.128 0.872
#> F6B26185-139B-47A7-91EC-E885D94AC882 2 0.5519 0.81030 0.128 0.872
#> 81F30B6F-3E9A-4913-986B-C56D5F107A17 2 0.0000 0.80230 0.000 1.000
#> 2CCB3AE1-0D27-4493-B7AE-67C60BBC1C38 2 0.9795 0.18594 0.416 0.584
#> 329665BC-B959-47C5-B831-5546F94EDAC1 2 0.5519 0.81030 0.128 0.872
#> 8D4335F6-6ACB-4E38-B9F2-A2B5B647AE90 1 0.5408 0.75961 0.876 0.124
#> D181D0D8-FD8C-4259-9B34-97224CF27E1B 2 0.0000 0.80230 0.000 1.000
#> C0C10950-ABC5-4125-A33E-5AFA2D2574B0 1 0.9983 0.16152 0.524 0.476
#> 834D12DB-0925-422C-B15B-20A60A5F658C 2 0.4161 0.81296 0.084 0.916
#> 50314689-519F-4B27-884C-7816DD64CF4E 1 0.0000 0.87100 1.000 0.000
#> 2502A23E-E168-4A78-9C14-B93FBC9715B1 1 0.0000 0.87100 1.000 0.000
#> 3F8D01A3-5449-48A1-BDBA-BFE4D908AE31 2 0.2778 0.81101 0.048 0.952
#> 1C47A87B-C033-4705-B903-DB33B8C6EC34 2 0.5519 0.81030 0.128 0.872
#> 1329E1C1-743E-4541-9081-165572D4BF47 2 0.5519 0.81030 0.128 0.872
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#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 2 0.9795 0.18594 0.416 0.584
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.0000 0.87100 1.000 0.000
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 2 0.5519 0.81030 0.128 0.872
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 1 0.7745 0.56947 0.772 0.228
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 1 0.8386 0.67552 0.732 0.268
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 2 0.9795 0.18594 0.416 0.584
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 2 0.9795 0.18594 0.416 0.584
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.0376 0.80358 0.004 0.996
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 2 0.1633 0.80795 0.024 0.976
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.0000 0.80230 0.000 1.000
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.0000 0.87100 1.000 0.000
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 2 0.9795 0.18594 0.416 0.584
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.0000 0.87100 1.000 0.000
#> 057B580C-13FD-4185-943C-9DD5266B8554 2 0.4815 0.81243 0.104 0.896
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 2 0.9988 -0.06855 0.480 0.520
#> 287F3696-25CF-4E67-A934-E50856AD4790 2 0.9795 0.18594 0.416 0.584
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.0000 0.80230 0.000 1.000
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 2 0.5519 0.81030 0.128 0.872
#> B80A74AB-A264-4396-93F8-FD976DBC1456 2 0.9795 0.18594 0.416 0.584
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.0000 0.80230 0.000 1.000
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.0000 0.87100 1.000 0.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.0000 0.87100 1.000 0.000
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 2 0.3274 0.77241 0.060 0.940
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 2 0.9795 0.18594 0.416 0.584
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.1184 0.80658 0.016 0.984
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.0000 0.87100 1.000 0.000
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 2 0.5519 0.81030 0.128 0.872
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.6148 0.69117 0.152 0.848
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.0376 0.86845 0.996 0.004
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.5059 0.81200 0.112 0.888
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 2 0.0000 0.80230 0.000 1.000
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 2 0.3431 0.81226 0.064 0.936
#> DD292494-92A2-43CB-B59B-726B2F429B29 2 0.5519 0.81030 0.128 0.872
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.7139 0.62879 0.804 0.196
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 2 0.5519 0.81030 0.128 0.872
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 2 0.0000 0.80230 0.000 1.000
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 2 0.3431 0.81234 0.064 0.936
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 1 0.8327 0.49955 0.736 0.264
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.0000 0.87100 1.000 0.000
#> 74CF740D-201D-4070-99B9-F007E7C4D472 2 0.8207 0.65693 0.256 0.744
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 2 0.5519 0.81030 0.128 0.872
#> 78F28873-E471-497A-9405-FB8955808599 2 0.9795 0.18594 0.416 0.584
#> 29294D9A-434B-4581-9591-63D16107C7B1 1 0.9954 0.12871 0.540 0.460
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.0000 0.80230 0.000 1.000
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 2 0.0376 0.80358 0.004 0.996
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.2796 0.803428 0.092 0.000 0.908
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.4062 0.734988 0.836 0.000 0.164
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 2 0.6307 0.063066 0.488 0.512 0.000
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.0000 0.905910 1.000 0.000 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.0000 0.905910 1.000 0.000 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.0000 0.905910 1.000 0.000 0.000
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.6280 -0.006719 0.000 0.540 0.460
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.2066 0.832474 0.000 0.940 0.060
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.0424 0.903544 0.992 0.008 0.000
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 1 0.3784 0.824991 0.864 0.132 0.004
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 2 0.3921 0.774605 0.016 0.872 0.112
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 2 0.4346 0.701013 0.000 0.816 0.184
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.0000 0.905910 1.000 0.000 0.000
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 1 0.4555 0.766267 0.800 0.200 0.000
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.0000 0.905910 1.000 0.000 0.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 3 0.3941 0.833226 0.000 0.156 0.844
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 2 0.0000 0.865402 0.000 1.000 0.000
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 2 0.5098 0.684811 0.248 0.752 0.000
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.0000 0.905910 1.000 0.000 0.000
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.0000 0.905910 1.000 0.000 0.000
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 2 0.0000 0.865402 0.000 1.000 0.000
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 3 0.5360 0.781536 0.012 0.220 0.768
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 1 0.4521 0.784636 0.816 0.180 0.004
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 3 0.5621 0.590672 0.308 0.000 0.692
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 2 0.0000 0.865402 0.000 1.000 0.000
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 1 0.1031 0.894649 0.976 0.000 0.024
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.0000 0.905910 1.000 0.000 0.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 2 0.5327 0.644177 0.272 0.728 0.000
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.0424 0.864630 0.000 0.992 0.008
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 3 0.3941 0.833226 0.000 0.156 0.844
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 2 0.4682 0.756783 0.192 0.804 0.004
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.0747 0.861172 0.000 0.984 0.016
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.0000 0.905910 1.000 0.000 0.000
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 2 0.0237 0.865153 0.000 0.996 0.004
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 1 0.5325 0.691870 0.748 0.248 0.004
#> BE56F908-42DD-4019-A8AC-48884DA788B1 2 0.0237 0.865230 0.004 0.996 0.000
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 2 0.4750 0.726158 0.216 0.784 0.000
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 1 0.6302 0.137143 0.520 0.480 0.000
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 3 0.3482 0.789847 0.128 0.000 0.872
#> 791D9EB8-42E0-4192-B064-B1126CA14481 2 0.5480 0.662392 0.264 0.732 0.004
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 2 0.4702 0.662271 0.000 0.788 0.212
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 2 0.4002 0.733224 0.000 0.840 0.160
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.0000 0.905910 1.000 0.000 0.000
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.0000 0.905910 1.000 0.000 0.000
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 3 0.2878 0.802033 0.096 0.000 0.904
#> D47C7B74-BB01-4614-B683-652F7130729C 3 0.4453 0.834520 0.012 0.152 0.836
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 2 0.0000 0.865402 0.000 1.000 0.000
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 2 0.0892 0.860810 0.020 0.980 0.000
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.0000 0.905910 1.000 0.000 0.000
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.0848 0.865234 0.008 0.984 0.008
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.0000 0.905910 1.000 0.000 0.000
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 2 0.1964 0.848291 0.056 0.944 0.000
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 2 0.0747 0.861172 0.000 0.984 0.016
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 3 0.3941 0.833226 0.000 0.156 0.844
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 3 0.5591 0.596950 0.304 0.000 0.696
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 1 0.3340 0.796233 0.880 0.000 0.120
#> 58F11B66-AE40-417E-B465-811C6CF7311C 1 0.7325 0.239330 0.576 0.036 0.388
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.0000 0.905910 1.000 0.000 0.000
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 3 0.4960 0.836463 0.040 0.128 0.832
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 2 0.0000 0.865402 0.000 1.000 0.000
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 2 0.1031 0.856714 0.000 0.976 0.024
#> 739952C6-FF36-4E34-B881-E02FE17C4012 1 0.4750 0.742956 0.784 0.216 0.000
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 1 0.0000 0.905910 1.000 0.000 0.000
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 2 0.0424 0.864630 0.000 0.992 0.008
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 1 0.0424 0.902563 0.992 0.000 0.008
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 1 0.0000 0.905910 1.000 0.000 0.000
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 1 0.0000 0.905910 1.000 0.000 0.000
#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 1 0.4682 0.772346 0.804 0.192 0.004
#> F6B26185-139B-47A7-91EC-E885D94AC882 2 0.3551 0.801266 0.132 0.868 0.000
#> 81F30B6F-3E9A-4913-986B-C56D5F107A17 2 0.0000 0.865402 0.000 1.000 0.000
#> 2CCB3AE1-0D27-4493-B7AE-67C60BBC1C38 3 0.3941 0.833226 0.000 0.156 0.844
#> 329665BC-B959-47C5-B831-5546F94EDAC1 2 0.6026 0.460738 0.376 0.624 0.000
#> 8D4335F6-6ACB-4E38-B9F2-A2B5B647AE90 1 0.4291 0.712391 0.820 0.000 0.180
#> D181D0D8-FD8C-4259-9B34-97224CF27E1B 2 0.0424 0.864630 0.000 0.992 0.008
#> C0C10950-ABC5-4125-A33E-5AFA2D2574B0 3 0.4453 0.834520 0.012 0.152 0.836
#> 834D12DB-0925-422C-B15B-20A60A5F658C 2 0.0000 0.865402 0.000 1.000 0.000
#> 50314689-519F-4B27-884C-7816DD64CF4E 1 0.0000 0.905910 1.000 0.000 0.000
#> 2502A23E-E168-4A78-9C14-B93FBC9715B1 3 0.6008 0.490762 0.372 0.000 0.628
#> 3F8D01A3-5449-48A1-BDBA-BFE4D908AE31 2 0.0000 0.865402 0.000 1.000 0.000
#> 1C47A87B-C033-4705-B903-DB33B8C6EC34 2 0.0892 0.861667 0.020 0.980 0.000
#> 1329E1C1-743E-4541-9081-165572D4BF47 2 0.2959 0.821932 0.100 0.900 0.000
#> 1F3F8680-EEB6-4532-B81D-51957D1EA502 1 0.0000 0.905910 1.000 0.000 0.000
#> 50F69785-8B7A-4933-85B1-8DC539ACC72A 1 0.0000 0.905910 1.000 0.000 0.000
#> 9095FDD8-EEB2-4B17-85AB-3CDAC0BEC759 1 0.0424 0.903220 0.992 0.008 0.000
#> B6BF8C22-03E4-44F0-B2EF-2A3DD6ADE7D7 1 0.1163 0.895072 0.972 0.028 0.000
#> D6A907FC-3A1B-4E3B-A440-1CE9BE9B334B 2 0.5325 0.604957 0.004 0.748 0.248
#> 02588D5D-89CB-4D0B-9E96-A0270C3FF866 2 0.0424 0.864630 0.000 0.992 0.008
#> D50BBFC7-7774-4B12-938C-8D5373C12DFC 2 0.0747 0.860953 0.000 0.984 0.016
#> 6E930060-502B-49F5-A385-9B91DEBD05E4 1 0.0000 0.905910 1.000 0.000 0.000
#> F6606A8E-ACC6-4826-9547-E0017521724D 2 0.4291 0.766412 0.180 0.820 0.000
#> 981584D3-10DB-455C-8132-E8E5F44E1222 2 0.4351 0.776528 0.168 0.828 0.004
#> 47F6E197-7164-4289-95B5-8FD305A13B4C 1 0.1031 0.896308 0.976 0.024 0.000
#> 4522D871-9379-4643-B15E-9ACB556276C4 3 0.5810 0.562674 0.336 0.000 0.664
#> 7560B2B5-6AF5-4600-9F0A-BE25CF99B6B9 1 0.1129 0.897483 0.976 0.020 0.004
#> 38F5957E-0A99-432D-8F0B-B48E03F17668 1 0.0000 0.905910 1.000 0.000 0.000
#> 7A6BBBE6-2B3B-44EB-A101-C823739AB24F 3 0.6333 0.622130 0.012 0.332 0.656
#> 0782D25A-3B14-499E-A40C-3852B3A15B8B 2 0.2878 0.824526 0.096 0.904 0.000
#> 31D4B639-D1E5-479B-AEC2-34F758F2E470 1 0.4521 0.785325 0.816 0.180 0.004
#> C49078E1-E730-4E81-8EAE-5AAAB9FA1BF5 3 0.6663 0.822274 0.096 0.156 0.748
#> 48BCD3B8-917F-4E8F-BCEA-1363570A6486 2 0.0237 0.865153 0.000 0.996 0.004
#> F3BA6259-9F68-47D0-ABDD-1272AE112CAB 2 0.0424 0.864630 0.000 0.992 0.008
#> 3CA49BB1-30F6-47F3-A751-D5601E16BDBA 2 0.5070 0.717095 0.224 0.772 0.004
#> 47747595-686A-46B5-9EF4-A4CFB85D746D 3 0.5465 0.620664 0.288 0.000 0.712
#> 87974EFF-C2DE-4930-93E3-015E6D996440 3 0.6225 0.365321 0.000 0.432 0.568
#> 7D272E6C-826D-4D02-8383-6A3D5BBF3A5F 3 0.2796 0.803428 0.092 0.000 0.908
#> 070E540B-34DB-4016-B573-84924407F57F 1 0.4504 0.770547 0.804 0.196 0.000
#> 63F4281A-4D90-4589-879E-549097FB3459 1 0.4351 0.795195 0.828 0.168 0.004
#> 93A66EA0-0C74-4342-8140-72ECB01F99A1 1 0.3530 0.853646 0.900 0.068 0.032
#> C92AD683-FD09-4DD2-A5A5-C72EA5DD9B46 2 0.0983 0.862563 0.016 0.980 0.004
#> 38D2BE9E-15D4-47BC-8FEB-55310F23825B 2 0.4409 0.709416 0.004 0.824 0.172
#> B3029936-1EEF-4378-AA28-D5B2A32CDC86 1 0.4121 0.797395 0.832 0.168 0.000
#> 9A33172F-AEEA-4B7D-9605-0C60D7872CEA 1 0.5178 0.574966 0.744 0.000 0.256
#> F2BC32E5-4117-468E-B637-9EDB6E9CC6C7 3 0.5785 0.568661 0.332 0.000 0.668
#> EC319D0D-96C5-49DB-A2C4-BB6BFED6844F 1 0.0000 0.905910 1.000 0.000 0.000
#> 8CB71499-1B35-417D-95E1-D85CE71A2D8A 1 0.4178 0.794349 0.828 0.172 0.000
#> C5986AA8-D1C7-47BB-946F-1AE00503A444 2 0.0424 0.864630 0.000 0.992 0.008
#> CDB44ECD-3F01-4865-B4CC-5190E0FB64DC 1 0.2400 0.873284 0.932 0.064 0.004
#> 57633DCE-DC21-42AE-82EB-81F532CE9840 2 0.3192 0.785763 0.000 0.888 0.112
#> 715C1406-D224-466D-968E-46889824CD3D 2 0.3879 0.786375 0.152 0.848 0.000
#> 86A9A426-4B69-4572-9AFF-103C2724E5EA 3 0.6204 0.396339 0.424 0.000 0.576
#> A73A2348-FC50-42A5-ADF0-6647E5ECF0EA 1 0.1525 0.889615 0.964 0.004 0.032
#> 4BF75CF9-DA61-4A0B-940C-B09C7FE864F0 1 0.0000 0.905910 1.000 0.000 0.000
#> E3D18696-51D7-4BE3-A32B-3196E5F80438 1 0.0000 0.905910 1.000 0.000 0.000
#> C4C7C112-555F-46D5-8D5D-411C7737A4C9 3 0.3116 0.795431 0.108 0.000 0.892
#> 0A3E0A3D-D396-4340-8D98-4B79DBFC312C 2 0.0424 0.864630 0.000 0.992 0.008
#> 5513114D-2503-4D11-ADA4-35BE010510E5 1 0.4399 0.701384 0.812 0.000 0.188
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#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 1 0.5263 0.799798 0.828 0.088 0.084
#> 287F3696-25CF-4E67-A934-E50856AD4790 3 0.3941 0.833226 0.000 0.156 0.844
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.0424 0.864630 0.000 0.992 0.008
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 1 0.5968 0.451660 0.636 0.364 0.000
#> B80A74AB-A264-4396-93F8-FD976DBC1456 3 0.3941 0.833226 0.000 0.156 0.844
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.0000 0.865402 0.000 1.000 0.000
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.0000 0.905910 1.000 0.000 0.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.3816 0.759392 0.852 0.000 0.148
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 2 0.4504 0.684774 0.000 0.804 0.196
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 3 0.4121 0.824530 0.000 0.168 0.832
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.0000 0.865402 0.000 1.000 0.000
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.0000 0.905910 1.000 0.000 0.000
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 2 0.4002 0.780586 0.160 0.840 0.000
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.4555 0.679245 0.000 0.800 0.200
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.0000 0.905910 1.000 0.000 0.000
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.0424 0.864630 0.000 0.992 0.008
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 2 0.0000 0.865402 0.000 1.000 0.000
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 2 0.0000 0.865402 0.000 1.000 0.000
#> DD292494-92A2-43CB-B59B-726B2F429B29 2 0.5706 0.556594 0.320 0.680 0.000
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.0000 0.905910 1.000 0.000 0.000
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 2 0.4931 0.705636 0.232 0.768 0.000
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 2 0.0892 0.858265 0.000 0.980 0.020
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 2 0.0000 0.865402 0.000 1.000 0.000
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 1 0.0424 0.903220 0.992 0.008 0.000
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 3 0.5621 0.590672 0.308 0.000 0.692
#> 74CF740D-201D-4070-99B9-F007E7C4D472 1 0.3116 0.845788 0.892 0.108 0.000
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 2 0.4654 0.736407 0.208 0.792 0.000
#> 78F28873-E471-497A-9405-FB8955808599 3 0.4002 0.830635 0.000 0.160 0.840
#> 29294D9A-434B-4581-9591-63D16107C7B1 3 0.4634 0.829829 0.012 0.164 0.824
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.0424 0.864630 0.000 0.992 0.008
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 2 0.0000 0.865402 0.000 1.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.4585 0.77762 0.000 0.000 0.668 0.332
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.3428 0.77900 0.844 0.000 0.144 0.012
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 1 0.5838 0.16140 0.524 0.444 0.032 0.000
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.0000 0.89712 1.000 0.000 0.000 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.0000 0.89712 1.000 0.000 0.000 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.0000 0.89712 1.000 0.000 0.000 0.000
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.4767 0.64373 0.000 0.724 0.020 0.256
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.1388 0.84124 0.000 0.960 0.012 0.028
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.1284 0.89417 0.964 0.012 0.024 0.000
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 1 0.1629 0.89011 0.952 0.024 0.024 0.000
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 2 0.5290 0.70101 0.004 0.760 0.104 0.132
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 2 0.3978 0.71155 0.000 0.796 0.012 0.192
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.0336 0.89806 0.992 0.008 0.000 0.000
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 1 0.3694 0.80328 0.844 0.124 0.032 0.000
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.0188 0.89638 0.996 0.000 0.004 0.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 4 0.0469 0.75604 0.000 0.012 0.000 0.988
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 2 0.0188 0.84696 0.000 0.996 0.004 0.000
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 2 0.3577 0.74300 0.156 0.832 0.012 0.000
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.0188 0.89638 0.996 0.000 0.004 0.000
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.0188 0.89638 0.996 0.000 0.004 0.000
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 2 0.0524 0.84751 0.000 0.988 0.004 0.008
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 2 0.7205 0.30219 0.000 0.528 0.168 0.304
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 1 0.3082 0.84370 0.884 0.084 0.032 0.000
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 3 0.4417 0.61938 0.160 0.000 0.796 0.044
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 2 0.0895 0.84430 0.000 0.976 0.020 0.004
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 1 0.0469 0.89802 0.988 0.012 0.000 0.000
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.0188 0.89638 0.996 0.000 0.004 0.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 2 0.4908 0.67702 0.216 0.748 0.032 0.004
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.1059 0.84462 0.000 0.972 0.012 0.016
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 4 0.0469 0.75604 0.000 0.012 0.000 0.988
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 2 0.2859 0.78595 0.112 0.880 0.008 0.000
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.1059 0.84462 0.000 0.972 0.012 0.016
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.0188 0.89638 0.996 0.000 0.004 0.000
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 2 0.0469 0.84644 0.000 0.988 0.000 0.012
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 1 0.5773 0.38909 0.612 0.352 0.032 0.004
#> BE56F908-42DD-4019-A8AC-48884DA788B1 2 0.0336 0.84667 0.000 0.992 0.008 0.000
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 2 0.3751 0.71028 0.196 0.800 0.000 0.004
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 2 0.5793 0.32929 0.384 0.580 0.036 0.000
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 4 0.7854 -0.30938 0.272 0.000 0.344 0.384
#> 791D9EB8-42E0-4192-B064-B1126CA14481 2 0.3528 0.71529 0.192 0.808 0.000 0.000
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 2 0.4212 0.68855 0.000 0.772 0.012 0.216
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 2 0.2805 0.80383 0.000 0.888 0.012 0.100
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.0188 0.89638 0.996 0.000 0.004 0.000
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.0336 0.89806 0.992 0.008 0.000 0.000
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 3 0.2522 0.69549 0.016 0.000 0.908 0.076
#> D47C7B74-BB01-4614-B683-652F7130729C 2 0.7345 0.25585 0.000 0.508 0.184 0.308
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 2 0.1388 0.84105 0.028 0.960 0.012 0.000
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 2 0.0376 0.84695 0.004 0.992 0.004 0.000
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.0336 0.89806 0.992 0.008 0.000 0.000
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.0376 0.84820 0.004 0.992 0.000 0.004
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.0188 0.89638 0.996 0.000 0.004 0.000
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 2 0.1406 0.84214 0.024 0.960 0.016 0.000
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 2 0.1174 0.84491 0.000 0.968 0.012 0.020
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 4 0.1118 0.75572 0.000 0.036 0.000 0.964
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 3 0.4761 0.59225 0.192 0.000 0.764 0.044
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 1 0.3224 0.80121 0.864 0.000 0.120 0.016
#> 58F11B66-AE40-417E-B465-811C6CF7311C 2 0.8915 0.20307 0.312 0.440 0.096 0.152
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.0000 0.89712 1.000 0.000 0.000 0.000
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 2 0.7894 0.20303 0.012 0.488 0.228 0.272
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 2 0.0000 0.84710 0.000 1.000 0.000 0.000
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 2 0.1059 0.84462 0.000 0.972 0.012 0.016
#> 739952C6-FF36-4E34-B881-E02FE17C4012 1 0.3907 0.78407 0.828 0.140 0.032 0.000
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 1 0.0469 0.89802 0.988 0.012 0.000 0.000
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 2 0.0927 0.84546 0.000 0.976 0.008 0.016
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 1 0.0469 0.89802 0.988 0.012 0.000 0.000
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 1 0.1059 0.89621 0.972 0.012 0.016 0.000
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 1 0.0336 0.89806 0.992 0.008 0.000 0.000
#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 1 0.2919 0.85941 0.896 0.060 0.044 0.000
#> F6B26185-139B-47A7-91EC-E885D94AC882 2 0.2023 0.83519 0.028 0.940 0.028 0.004
#> 81F30B6F-3E9A-4913-986B-C56D5F107A17 2 0.0657 0.84643 0.000 0.984 0.004 0.012
#> 2CCB3AE1-0D27-4493-B7AE-67C60BBC1C38 4 0.0469 0.75604 0.000 0.012 0.000 0.988
#> 329665BC-B959-47C5-B831-5546F94EDAC1 2 0.4539 0.61222 0.272 0.720 0.008 0.000
#> 8D4335F6-6ACB-4E38-B9F2-A2B5B647AE90 1 0.5329 0.75509 0.780 0.064 0.124 0.032
#> D181D0D8-FD8C-4259-9B34-97224CF27E1B 2 0.0804 0.84618 0.000 0.980 0.008 0.012
#> C0C10950-ABC5-4125-A33E-5AFA2D2574B0 2 0.7565 0.17245 0.000 0.472 0.216 0.312
#> 834D12DB-0925-422C-B15B-20A60A5F658C 2 0.0000 0.84710 0.000 1.000 0.000 0.000
#> 50314689-519F-4B27-884C-7816DD64CF4E 1 0.0000 0.89712 1.000 0.000 0.000 0.000
#> 2502A23E-E168-4A78-9C14-B93FBC9715B1 1 0.5596 0.43198 0.632 0.000 0.332 0.036
#> 3F8D01A3-5449-48A1-BDBA-BFE4D908AE31 2 0.0592 0.84576 0.000 0.984 0.016 0.000
#> 1C47A87B-C033-4705-B903-DB33B8C6EC34 2 0.1724 0.83770 0.032 0.948 0.020 0.000
#> 1329E1C1-743E-4541-9081-165572D4BF47 2 0.1771 0.83904 0.036 0.948 0.012 0.004
#> 1F3F8680-EEB6-4532-B81D-51957D1EA502 1 0.0469 0.89802 0.988 0.012 0.000 0.000
#> 50F69785-8B7A-4933-85B1-8DC539ACC72A 1 0.0000 0.89712 1.000 0.000 0.000 0.000
#> 9095FDD8-EEB2-4B17-85AB-3CDAC0BEC759 1 0.2494 0.87129 0.916 0.048 0.036 0.000
#> B6BF8C22-03E4-44F0-B2EF-2A3DD6ADE7D7 1 0.0937 0.89616 0.976 0.012 0.012 0.000
#> D6A907FC-3A1B-4E3B-A440-1CE9BE9B334B 2 0.4019 0.71584 0.000 0.792 0.012 0.196
#> 02588D5D-89CB-4D0B-9E96-A0270C3FF866 2 0.1059 0.84462 0.000 0.972 0.012 0.016
#> D50BBFC7-7774-4B12-938C-8D5373C12DFC 2 0.1388 0.84174 0.000 0.960 0.012 0.028
#> 6E930060-502B-49F5-A385-9B91DEBD05E4 1 0.0188 0.89638 0.996 0.000 0.004 0.000
#> F6606A8E-ACC6-4826-9547-E0017521724D 2 0.4932 0.62983 0.240 0.728 0.032 0.000
#> 981584D3-10DB-455C-8132-E8E5F44E1222 2 0.2921 0.76472 0.140 0.860 0.000 0.000
#> 47F6E197-7164-4289-95B5-8FD305A13B4C 1 0.0937 0.89616 0.976 0.012 0.012 0.000
#> 4522D871-9379-4643-B15E-9ACB556276C4 2 0.8197 0.44514 0.136 0.568 0.204 0.092
#> 7560B2B5-6AF5-4600-9F0A-BE25CF99B6B9 1 0.0804 0.89689 0.980 0.012 0.008 0.000
#> 38F5957E-0A99-432D-8F0B-B48E03F17668 1 0.0000 0.89712 1.000 0.000 0.000 0.000
#> 7A6BBBE6-2B3B-44EB-A101-C823739AB24F 2 0.6683 0.49177 0.000 0.620 0.176 0.204
#> 0782D25A-3B14-499E-A40C-3852B3A15B8B 2 0.1593 0.84441 0.016 0.956 0.024 0.004
#> 31D4B639-D1E5-479B-AEC2-34F758F2E470 1 0.4935 0.76814 0.796 0.132 0.048 0.024
#> C49078E1-E730-4E81-8EAE-5AAAB9FA1BF5 4 0.6839 0.14227 0.016 0.448 0.060 0.476
#> 48BCD3B8-917F-4E8F-BCEA-1363570A6486 2 0.0188 0.84752 0.000 0.996 0.004 0.000
#> F3BA6259-9F68-47D0-ABDD-1272AE112CAB 2 0.0927 0.84546 0.000 0.976 0.008 0.016
#> 3CA49BB1-30F6-47F3-A751-D5601E16BDBA 2 0.3486 0.71999 0.188 0.812 0.000 0.000
#> 47747595-686A-46B5-9EF4-A4CFB85D746D 3 0.4370 0.62193 0.156 0.000 0.800 0.044
#> 87974EFF-C2DE-4930-93E3-015E6D996440 4 0.4372 0.49857 0.000 0.268 0.004 0.728
#> 7D272E6C-826D-4D02-8383-6A3D5BBF3A5F 3 0.4585 0.77762 0.000 0.000 0.668 0.332
#> 070E540B-34DB-4016-B573-84924407F57F 1 0.3749 0.80072 0.840 0.128 0.032 0.000
#> 63F4281A-4D90-4589-879E-549097FB3459 1 0.3399 0.83425 0.872 0.092 0.032 0.004
#> 93A66EA0-0C74-4342-8140-72ECB01F99A1 1 0.6102 0.71324 0.740 0.092 0.052 0.116
#> C92AD683-FD09-4DD2-A5A5-C72EA5DD9B46 2 0.2123 0.84130 0.004 0.936 0.028 0.032
#> 38D2BE9E-15D4-47BC-8FEB-55310F23825B 2 0.5800 0.64085 0.000 0.708 0.128 0.164
#> B3029936-1EEF-4378-AA28-D5B2A32CDC86 1 0.2797 0.85876 0.900 0.068 0.032 0.000
#> 9A33172F-AEEA-4B7D-9605-0C60D7872CEA 1 0.3806 0.76192 0.824 0.000 0.156 0.020
#> F2BC32E5-4117-468E-B637-9EDB6E9CC6C7 1 0.5900 0.59664 0.680 0.012 0.256 0.052
#> EC319D0D-96C5-49DB-A2C4-BB6BFED6844F 1 0.0000 0.89712 1.000 0.000 0.000 0.000
#> 8CB71499-1B35-417D-95E1-D85CE71A2D8A 1 0.3803 0.79348 0.836 0.132 0.032 0.000
#> C5986AA8-D1C7-47BB-946F-1AE00503A444 2 0.0927 0.84546 0.000 0.976 0.008 0.016
#> CDB44ECD-3F01-4865-B4CC-5190E0FB64DC 1 0.2585 0.86986 0.916 0.048 0.032 0.004
#> 57633DCE-DC21-42AE-82EB-81F532CE9840 2 0.2255 0.82235 0.000 0.920 0.012 0.068
#> 715C1406-D224-466D-968E-46889824CD3D 2 0.1059 0.84415 0.012 0.972 0.016 0.000
#> 86A9A426-4B69-4572-9AFF-103C2724E5EA 1 0.5999 0.27637 0.552 0.000 0.404 0.044
#> A73A2348-FC50-42A5-ADF0-6647E5ECF0EA 1 0.0469 0.89802 0.988 0.012 0.000 0.000
#> 4BF75CF9-DA61-4A0B-940C-B09C7FE864F0 1 0.0188 0.89638 0.996 0.000 0.004 0.000
#> E3D18696-51D7-4BE3-A32B-3196E5F80438 1 0.0188 0.89795 0.996 0.004 0.000 0.000
#> C4C7C112-555F-46D5-8D5D-411C7737A4C9 3 0.2300 0.68369 0.028 0.000 0.924 0.048
#> 0A3E0A3D-D396-4340-8D98-4B79DBFC312C 2 0.0524 0.84719 0.000 0.988 0.004 0.008
#> 5513114D-2503-4D11-ADA4-35BE010510E5 1 0.1822 0.88632 0.944 0.008 0.044 0.004
#> EDDCFDBA-B3E7-4E3F-97CB-D017C9DC9EF7 1 0.1284 0.89417 0.964 0.012 0.024 0.000
#> 7046C2F2-A8DE-4AE1-B27D-094CF2EF3B3D 2 0.7565 0.17245 0.000 0.472 0.216 0.312
#> 6869ABAF-343B-4C9B-8975-B26A2C895123 2 0.0927 0.84558 0.008 0.976 0.016 0.000
#> EC0B4E94-0FD0-4DBE-8E1A-14DBB0E63772 2 0.8623 0.15998 0.048 0.456 0.252 0.244
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#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 4 0.0469 0.75604 0.000 0.012 0.000 0.988
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.0188 0.89638 0.996 0.000 0.004 0.000
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 2 0.4579 0.67385 0.200 0.768 0.032 0.000
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 1 0.1406 0.89340 0.960 0.016 0.024 0.000
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 4 0.4661 0.19230 0.004 0.004 0.284 0.708
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 4 0.0921 0.75565 0.000 0.028 0.000 0.972
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 4 0.0469 0.75604 0.000 0.012 0.000 0.988
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.0672 0.84796 0.000 0.984 0.008 0.008
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 2 0.1362 0.84372 0.012 0.964 0.020 0.004
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.2542 0.81418 0.000 0.904 0.012 0.084
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.0000 0.89712 1.000 0.000 0.000 0.000
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 4 0.1576 0.75179 0.000 0.048 0.004 0.948
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.0817 0.88895 0.976 0.000 0.024 0.000
#> 057B580C-13FD-4185-943C-9DD5266B8554 2 0.4704 0.68761 0.204 0.764 0.028 0.004
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 1 0.6924 0.62915 0.680 0.104 0.064 0.152
#> 287F3696-25CF-4E67-A934-E50856AD4790 4 0.3837 0.54187 0.000 0.224 0.000 0.776
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.1284 0.84414 0.000 0.964 0.012 0.024
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 1 0.5321 0.56721 0.672 0.296 0.032 0.000
#> B80A74AB-A264-4396-93F8-FD976DBC1456 4 0.0469 0.75604 0.000 0.012 0.000 0.988
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.0000 0.84710 0.000 1.000 0.000 0.000
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.0469 0.89802 0.988 0.012 0.000 0.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.2843 0.82944 0.892 0.000 0.088 0.020
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 2 0.4019 0.71783 0.000 0.792 0.012 0.196
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 4 0.1661 0.74943 0.000 0.052 0.004 0.944
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.1182 0.84805 0.000 0.968 0.016 0.016
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.0000 0.89712 1.000 0.000 0.000 0.000
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 2 0.3547 0.75278 0.144 0.840 0.016 0.000
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.4137 0.69826 0.000 0.780 0.012 0.208
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.0469 0.89802 0.988 0.012 0.000 0.000
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.0188 0.84726 0.000 0.996 0.000 0.004
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 2 0.0469 0.84644 0.000 0.988 0.000 0.012
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 2 0.0524 0.84659 0.000 0.988 0.008 0.004
#> DD292494-92A2-43CB-B59B-726B2F429B29 2 0.5401 0.60773 0.260 0.700 0.032 0.008
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.1406 0.89340 0.960 0.016 0.024 0.000
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 2 0.5291 0.59599 0.264 0.700 0.032 0.004
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 2 0.2224 0.83730 0.000 0.928 0.032 0.040
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 2 0.0000 0.84710 0.000 1.000 0.000 0.000
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 1 0.1610 0.89078 0.952 0.016 0.032 0.000
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 3 0.4417 0.61938 0.160 0.000 0.796 0.044
#> 74CF740D-201D-4070-99B9-F007E7C4D472 1 0.4415 0.81522 0.836 0.088 0.036 0.040
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 2 0.3311 0.73474 0.172 0.828 0.000 0.000
#> 78F28873-E471-497A-9405-FB8955808599 4 0.1302 0.75469 0.000 0.044 0.000 0.956
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.7388 0.24145 0.000 0.500 0.188 0.312
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.0804 0.84618 0.000 0.980 0.008 0.012
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 2 0.0672 0.84775 0.000 0.984 0.008 0.008
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.2074 0.8135 0.000 0.000 0.896 0.000 0.104
#> 5A147DAD-7390-4C90-9921-45CB05066827 4 0.5911 -0.0808 0.456 0.000 0.040 0.472 0.032
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 1 0.5844 0.2058 0.544 0.360 0.000 0.092 0.004
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.2516 0.7724 0.860 0.000 0.000 0.140 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.2424 0.7751 0.868 0.000 0.000 0.132 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.2516 0.7724 0.860 0.000 0.000 0.140 0.000
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.5753 0.3654 0.000 0.584 0.008 0.084 0.324
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.2864 0.7773 0.000 0.884 0.008 0.044 0.064
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.0898 0.7752 0.972 0.000 0.008 0.020 0.000
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 1 0.1914 0.7594 0.924 0.016 0.000 0.060 0.000
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 2 0.7169 0.2806 0.032 0.520 0.012 0.164 0.272
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 2 0.5111 0.5436 0.000 0.680 0.008 0.064 0.248
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.2280 0.7794 0.880 0.000 0.000 0.120 0.000
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 1 0.4328 0.6508 0.780 0.108 0.000 0.108 0.004
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.3143 0.7319 0.796 0.000 0.000 0.204 0.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 5 0.1117 0.7098 0.000 0.016 0.020 0.000 0.964
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 2 0.1026 0.8051 0.004 0.968 0.000 0.024 0.004
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 2 0.4269 0.6601 0.232 0.732 0.000 0.036 0.000
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.2605 0.7691 0.852 0.000 0.000 0.148 0.000
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.3003 0.7453 0.812 0.000 0.000 0.188 0.000
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 2 0.0000 0.8037 0.000 1.000 0.000 0.000 0.000
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 5 0.7789 0.2550 0.004 0.348 0.068 0.188 0.392
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 1 0.2491 0.7469 0.896 0.036 0.000 0.068 0.000
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 4 0.4886 0.5781 0.008 0.000 0.288 0.668 0.036
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 2 0.1281 0.8017 0.032 0.956 0.000 0.012 0.000
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 1 0.1544 0.7844 0.932 0.000 0.000 0.068 0.000
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.3074 0.7390 0.804 0.000 0.000 0.196 0.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 2 0.5540 0.3853 0.400 0.540 0.000 0.052 0.008
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.1836 0.7994 0.000 0.936 0.008 0.040 0.016
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 5 0.1117 0.7098 0.000 0.016 0.020 0.000 0.964
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 2 0.3935 0.6989 0.200 0.772 0.000 0.024 0.004
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.1934 0.7988 0.000 0.932 0.008 0.040 0.020
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.3039 0.7423 0.808 0.000 0.000 0.192 0.000
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 2 0.0324 0.8030 0.000 0.992 0.000 0.004 0.004
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 1 0.4885 0.5558 0.732 0.168 0.000 0.092 0.008
#> BE56F908-42DD-4019-A8AC-48884DA788B1 2 0.1281 0.8013 0.032 0.956 0.000 0.012 0.000
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 2 0.3611 0.6809 0.208 0.780 0.000 0.004 0.008
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 2 0.6002 0.1302 0.436 0.452 0.000 0.112 0.000
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 3 0.6526 0.5487 0.108 0.004 0.648 0.136 0.104
#> 791D9EB8-42E0-4192-B064-B1126CA14481 2 0.3611 0.6806 0.208 0.780 0.000 0.008 0.004
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 2 0.5632 0.3721 0.000 0.588 0.008 0.072 0.332
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 2 0.4270 0.6690 0.000 0.764 0.008 0.040 0.188
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.2773 0.7606 0.836 0.000 0.000 0.164 0.000
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.2179 0.7791 0.888 0.000 0.000 0.112 0.000
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 3 0.4087 0.4618 0.000 0.000 0.756 0.208 0.036
#> D47C7B74-BB01-4614-B683-652F7130729C 5 0.7759 0.2620 0.004 0.324 0.060 0.208 0.404
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 2 0.3906 0.7399 0.080 0.812 0.000 0.104 0.004
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 2 0.0898 0.8042 0.020 0.972 0.000 0.008 0.000
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.2424 0.7751 0.868 0.000 0.000 0.132 0.000
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.2575 0.7904 0.036 0.904 0.000 0.016 0.044
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.3039 0.7423 0.808 0.000 0.000 0.192 0.000
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 2 0.3741 0.7408 0.108 0.816 0.000 0.076 0.000
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 2 0.2201 0.7985 0.000 0.920 0.008 0.040 0.032
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 5 0.0609 0.7109 0.000 0.020 0.000 0.000 0.980
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 4 0.4906 0.5754 0.008 0.000 0.292 0.664 0.036
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 1 0.4612 0.6752 0.736 0.000 0.084 0.180 0.000
#> 58F11B66-AE40-417E-B465-811C6CF7311C 1 0.8287 -0.0580 0.440 0.144 0.012 0.168 0.236
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.2561 0.7709 0.856 0.000 0.000 0.144 0.000
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 5 0.8268 0.1816 0.004 0.320 0.104 0.240 0.332
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 2 0.0290 0.8042 0.008 0.992 0.000 0.000 0.000
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 2 0.1934 0.7992 0.000 0.932 0.008 0.040 0.020
#> 739952C6-FF36-4E34-B881-E02FE17C4012 1 0.3579 0.7014 0.836 0.080 0.000 0.080 0.004
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 1 0.2074 0.7806 0.896 0.000 0.000 0.104 0.000
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 2 0.1772 0.8013 0.000 0.940 0.008 0.032 0.020
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 1 0.1671 0.7847 0.924 0.000 0.000 0.076 0.000
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 1 0.1831 0.7849 0.920 0.000 0.004 0.076 0.000
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 1 0.2179 0.7797 0.888 0.000 0.000 0.112 0.000
#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 1 0.3558 0.7004 0.828 0.064 0.000 0.108 0.000
#> F6B26185-139B-47A7-91EC-E885D94AC882 2 0.4023 0.7243 0.164 0.792 0.000 0.028 0.016
#> 81F30B6F-3E9A-4913-986B-C56D5F107A17 2 0.0324 0.8047 0.004 0.992 0.000 0.004 0.000
#> 2CCB3AE1-0D27-4493-B7AE-67C60BBC1C38 5 0.1117 0.7098 0.000 0.016 0.020 0.000 0.964
#> 329665BC-B959-47C5-B831-5546F94EDAC1 2 0.3809 0.6249 0.256 0.736 0.000 0.008 0.000
#> 8D4335F6-6ACB-4E38-B9F2-A2B5B647AE90 1 0.5044 0.6313 0.748 0.016 0.052 0.164 0.020
#> D181D0D8-FD8C-4259-9B34-97224CF27E1B 2 0.1538 0.8014 0.000 0.948 0.008 0.036 0.008
#> C0C10950-ABC5-4125-A33E-5AFA2D2574B0 5 0.7967 0.2430 0.004 0.296 0.076 0.228 0.396
#> 834D12DB-0925-422C-B15B-20A60A5F658C 2 0.0486 0.8036 0.004 0.988 0.000 0.004 0.004
#> 50314689-519F-4B27-884C-7816DD64CF4E 1 0.2561 0.7709 0.856 0.000 0.000 0.144 0.000
#> 2502A23E-E168-4A78-9C14-B93FBC9715B1 4 0.6195 0.5161 0.128 0.000 0.204 0.632 0.036
#> 3F8D01A3-5449-48A1-BDBA-BFE4D908AE31 2 0.1386 0.8002 0.032 0.952 0.000 0.016 0.000
#> 1C47A87B-C033-4705-B903-DB33B8C6EC34 2 0.3971 0.7275 0.100 0.800 0.000 0.100 0.000
#> 1329E1C1-743E-4541-9081-165572D4BF47 2 0.3885 0.7340 0.176 0.784 0.000 0.040 0.000
#> 1F3F8680-EEB6-4532-B81D-51957D1EA502 1 0.1965 0.7832 0.904 0.000 0.000 0.096 0.000
#> 50F69785-8B7A-4933-85B1-8DC539ACC72A 1 0.2424 0.7751 0.868 0.000 0.000 0.132 0.000
#> 9095FDD8-EEB2-4B17-85AB-3CDAC0BEC759 1 0.2773 0.7346 0.868 0.020 0.000 0.112 0.000
#> B6BF8C22-03E4-44F0-B2EF-2A3DD6ADE7D7 1 0.1251 0.7697 0.956 0.008 0.000 0.036 0.000
#> D6A907FC-3A1B-4E3B-A440-1CE9BE9B334B 2 0.5869 0.2811 0.000 0.548 0.020 0.060 0.372
#> 02588D5D-89CB-4D0B-9E96-A0270C3FF866 2 0.1731 0.7997 0.000 0.940 0.008 0.040 0.012
#> D50BBFC7-7774-4B12-938C-8D5373C12DFC 2 0.1988 0.7975 0.000 0.928 0.008 0.048 0.016
#> 6E930060-502B-49F5-A385-9B91DEBD05E4 1 0.2605 0.7691 0.852 0.000 0.000 0.148 0.000
#> F6606A8E-ACC6-4826-9547-E0017521724D 2 0.5376 0.5378 0.308 0.612 0.000 0.080 0.000
#> 981584D3-10DB-455C-8132-E8E5F44E1222 2 0.3352 0.6987 0.192 0.800 0.000 0.004 0.004
#> 47F6E197-7164-4289-95B5-8FD305A13B4C 1 0.1205 0.7721 0.956 0.004 0.000 0.040 0.000
#> 4522D871-9379-4643-B15E-9ACB556276C4 2 0.8952 -0.2631 0.044 0.344 0.116 0.212 0.284
#> 7560B2B5-6AF5-4600-9F0A-BE25CF99B6B9 1 0.0609 0.7786 0.980 0.000 0.000 0.020 0.000
#> 38F5957E-0A99-432D-8F0B-B48E03F17668 1 0.2516 0.7724 0.860 0.000 0.000 0.140 0.000
#> 7A6BBBE6-2B3B-44EB-A101-C823739AB24F 2 0.7367 0.1337 0.004 0.504 0.060 0.164 0.268
#> 0782D25A-3B14-499E-A40C-3852B3A15B8B 2 0.3997 0.7658 0.120 0.816 0.008 0.048 0.008
#> 31D4B639-D1E5-479B-AEC2-34F758F2E470 1 0.4417 0.6734 0.788 0.068 0.008 0.128 0.008
#> C49078E1-E730-4E81-8EAE-5AAAB9FA1BF5 5 0.8049 0.3003 0.020 0.304 0.092 0.140 0.444
#> 48BCD3B8-917F-4E8F-BCEA-1363570A6486 2 0.0486 0.8032 0.004 0.988 0.000 0.004 0.004
#> F3BA6259-9F68-47D0-ABDD-1272AE112CAB 2 0.1731 0.7997 0.000 0.940 0.008 0.040 0.012
#> 3CA49BB1-30F6-47F3-A751-D5601E16BDBA 2 0.3387 0.6948 0.196 0.796 0.000 0.004 0.004
#> 47747595-686A-46B5-9EF4-A4CFB85D746D 4 0.4789 0.5754 0.004 0.000 0.292 0.668 0.036
#> 87974EFF-C2DE-4930-93E3-015E6D996440 5 0.3205 0.6158 0.000 0.176 0.004 0.004 0.816
#> 7D272E6C-826D-4D02-8383-6A3D5BBF3A5F 3 0.2074 0.8135 0.000 0.000 0.896 0.000 0.104
#> 070E540B-34DB-4016-B573-84924407F57F 1 0.4194 0.6620 0.780 0.088 0.000 0.132 0.000
#> 63F4281A-4D90-4589-879E-549097FB3459 1 0.2396 0.7529 0.904 0.024 0.000 0.068 0.004
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#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 2 0.1538 0.8014 0.000 0.948 0.008 0.036 0.008
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 2 0.0566 0.8039 0.004 0.984 0.000 0.012 0.000
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 5 0.5105 0.5423 0.000 0.060 0.144 0.052 0.744
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 1 0.3039 0.7423 0.808 0.000 0.000 0.192 0.000
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 3 0.3085 0.7960 0.000 0.000 0.852 0.032 0.116
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 1 0.1981 0.7626 0.924 0.028 0.000 0.048 0.000
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 1 0.2966 0.7480 0.816 0.000 0.000 0.184 0.000
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 2 0.5232 0.5913 0.268 0.648 0.000 0.084 0.000
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 2 0.4372 0.6259 0.260 0.712 0.000 0.024 0.004
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 2 0.0162 0.8031 0.000 0.996 0.000 0.000 0.004
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 2 0.1731 0.7997 0.000 0.940 0.008 0.040 0.012
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 1 0.3898 0.6869 0.812 0.076 0.000 0.108 0.004
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 2 0.1731 0.7997 0.000 0.940 0.008 0.040 0.012
#> C7997523-47CF-40F0-8803-AB873E38033C 2 0.3544 0.6887 0.200 0.788 0.000 0.008 0.004
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 2 0.1934 0.7990 0.000 0.932 0.008 0.040 0.020
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 5 0.1117 0.7098 0.000 0.016 0.020 0.000 0.964
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 4 0.4789 0.5754 0.004 0.000 0.292 0.668 0.036
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 1 0.3039 0.7423 0.808 0.000 0.000 0.192 0.000
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 2 0.5552 0.3676 0.000 0.588 0.008 0.064 0.340
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 2 0.0324 0.8033 0.004 0.992 0.000 0.000 0.004
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 3 0.2233 0.8118 0.000 0.000 0.892 0.004 0.104
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 2 0.0955 0.8042 0.000 0.968 0.000 0.028 0.004
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 1 0.3741 0.6882 0.816 0.076 0.000 0.108 0.000
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.3143 0.7319 0.796 0.000 0.000 0.204 0.000
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 1 0.1704 0.7587 0.928 0.004 0.000 0.068 0.000
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 1 0.4485 0.7251 0.772 0.000 0.040 0.160 0.028
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 5 0.2478 0.6944 0.000 0.060 0.028 0.008 0.904
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 2 0.8350 0.0258 0.044 0.420 0.076 0.148 0.312
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 2 0.2178 0.7952 0.000 0.920 0.008 0.048 0.024
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 2 0.0727 0.8048 0.004 0.980 0.000 0.012 0.004
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.2891 0.7535 0.824 0.000 0.000 0.176 0.000
#> E15EAAB4-0860-4716-9922-667F604CDF12 1 0.2681 0.7379 0.876 0.004 0.012 0.108 0.000
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 2 0.7463 -0.0803 0.168 0.404 0.024 0.020 0.384
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 1 0.4487 0.6847 0.800 0.064 0.016 0.104 0.016
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 3 0.8446 0.3647 0.148 0.060 0.500 0.136 0.156
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.2891 0.7535 0.824 0.000 0.000 0.176 0.000
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 2 0.3551 0.7529 0.000 0.840 0.008 0.056 0.096
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 2 0.1731 0.7997 0.000 0.940 0.008 0.040 0.012
#> E2A4C651-977F-4F40-B5EC-46DF75944141 1 0.3169 0.7218 0.856 0.060 0.000 0.084 0.000
#> 433599CC-9DF5-4494-A607-8079FFE74D95 5 0.8322 0.1007 0.004 0.256 0.108 0.316 0.316
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 5 0.6720 0.2602 0.168 0.328 0.000 0.016 0.488
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 5 0.1117 0.7098 0.000 0.016 0.020 0.000 0.964
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.3039 0.7423 0.808 0.000 0.000 0.192 0.000
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 2 0.5110 0.6203 0.224 0.680 0.000 0.096 0.000
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 1 0.1444 0.7686 0.948 0.000 0.012 0.040 0.000
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.3796 0.6075 0.000 0.000 0.700 0.000 0.300
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 5 0.0798 0.7098 0.000 0.016 0.008 0.000 0.976
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 5 0.1117 0.7098 0.000 0.016 0.020 0.000 0.964
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.1731 0.8007 0.000 0.940 0.008 0.040 0.012
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 2 0.2067 0.7976 0.048 0.920 0.000 0.032 0.000
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.3758 0.7429 0.000 0.824 0.008 0.056 0.112
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.2516 0.7724 0.860 0.000 0.000 0.140 0.000
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 5 0.0955 0.7107 0.000 0.028 0.000 0.004 0.968
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.3647 0.7051 0.764 0.000 0.004 0.228 0.004
#> 057B580C-13FD-4185-943C-9DD5266B8554 2 0.6112 0.5428 0.284 0.604 0.000 0.064 0.048
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 1 0.6614 0.5300 0.672 0.068 0.072 0.136 0.052
#> 287F3696-25CF-4E67-A934-E50856AD4790 5 0.2773 0.6588 0.000 0.112 0.000 0.020 0.868
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.2027 0.7986 0.000 0.928 0.008 0.040 0.024
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 1 0.5442 0.4494 0.644 0.240 0.000 0.116 0.000
#> B80A74AB-A264-4396-93F8-FD976DBC1456 5 0.1117 0.7098 0.000 0.016 0.020 0.000 0.964
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.0324 0.8033 0.004 0.992 0.000 0.000 0.004
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.1732 0.7839 0.920 0.000 0.000 0.080 0.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.4916 0.6930 0.744 0.000 0.056 0.168 0.032
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 2 0.5945 0.3059 0.000 0.552 0.020 0.068 0.360
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 5 0.1043 0.7096 0.000 0.040 0.000 0.000 0.960
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.2948 0.7890 0.004 0.884 0.008 0.064 0.040
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.2471 0.7738 0.864 0.000 0.000 0.136 0.000
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 2 0.5139 0.5858 0.280 0.648 0.000 0.072 0.000
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.5548 0.3427 0.000 0.576 0.008 0.060 0.356
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.1792 0.7838 0.916 0.000 0.000 0.084 0.000
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.1202 0.8051 0.004 0.960 0.000 0.032 0.004
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 2 0.0566 0.8040 0.000 0.984 0.000 0.004 0.012
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 2 0.0865 0.8035 0.024 0.972 0.000 0.004 0.000
#> DD292494-92A2-43CB-B59B-726B2F429B29 2 0.6654 0.5101 0.304 0.544 0.000 0.108 0.044
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.1597 0.7658 0.940 0.000 0.012 0.048 0.000
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 2 0.5754 0.4640 0.344 0.564 0.000 0.088 0.004
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 2 0.5192 0.6262 0.012 0.720 0.008 0.076 0.184
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 2 0.0566 0.8046 0.012 0.984 0.000 0.004 0.000
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 1 0.1952 0.7530 0.912 0.000 0.004 0.084 0.000
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 4 0.4886 0.5781 0.008 0.000 0.288 0.668 0.036
#> 74CF740D-201D-4070-99B9-F007E7C4D472 1 0.3871 0.6912 0.808 0.056 0.004 0.132 0.000
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 2 0.3509 0.6925 0.196 0.792 0.000 0.008 0.004
#> 78F28873-E471-497A-9405-FB8955808599 5 0.1041 0.7119 0.000 0.032 0.004 0.000 0.964
#> 29294D9A-434B-4581-9591-63D16107C7B1 5 0.7978 0.2394 0.004 0.288 0.076 0.236 0.396
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.1538 0.8014 0.000 0.948 0.008 0.036 0.008
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 2 0.1492 0.8051 0.004 0.948 0.008 0.040 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.0790 0.85819 0.000 0.000 0.968 0.000 0.032 0.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 4 0.3774 0.42191 0.408 0.000 0.000 0.592 0.000 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 6 0.5753 0.18692 0.176 0.364 0.000 0.000 0.000 0.460
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.0146 0.78623 0.996 0.000 0.000 0.004 0.000 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.1334 0.78852 0.948 0.000 0.000 0.020 0.000 0.032
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.0713 0.78254 0.972 0.000 0.000 0.028 0.000 0.000
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.6423 0.46463 0.000 0.604 0.016 0.108 0.156 0.116
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.2201 0.75660 0.000 0.916 0.016 0.008 0.024 0.036
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.3620 0.68513 0.752 0.004 0.012 0.004 0.000 0.228
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 1 0.4204 0.61357 0.696 0.040 0.004 0.000 0.000 0.260
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 2 0.6789 0.44868 0.000 0.536 0.024 0.068 0.132 0.240
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 2 0.5089 0.62160 0.000 0.728 0.016 0.080 0.124 0.052
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.1498 0.78930 0.940 0.000 0.000 0.028 0.000 0.032
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 6 0.5724 0.15723 0.412 0.164 0.000 0.000 0.000 0.424
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.1007 0.77510 0.956 0.000 0.000 0.044 0.000 0.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 5 0.0000 0.84750 0.000 0.000 0.000 0.000 1.000 0.000
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 2 0.1588 0.77485 0.000 0.924 0.004 0.000 0.000 0.072
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 2 0.3867 0.67824 0.052 0.748 0.000 0.000 0.000 0.200
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.0891 0.78679 0.968 0.000 0.000 0.024 0.000 0.008
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.0865 0.77950 0.964 0.000 0.000 0.036 0.000 0.000
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 2 0.0653 0.77449 0.000 0.980 0.004 0.004 0.000 0.012
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 6 0.7455 -0.15388 0.000 0.176 0.008 0.284 0.132 0.400
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 1 0.4302 0.53082 0.644 0.028 0.004 0.000 0.000 0.324
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 4 0.2841 0.74894 0.012 0.000 0.164 0.824 0.000 0.000
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 2 0.1814 0.77501 0.000 0.900 0.000 0.000 0.000 0.100
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 1 0.3481 0.70184 0.772 0.004 0.004 0.000 0.012 0.208
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.0865 0.77916 0.964 0.000 0.000 0.036 0.000 0.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 2 0.5853 0.23082 0.200 0.504 0.000 0.004 0.000 0.292
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.1715 0.76328 0.000 0.940 0.016 0.008 0.020 0.016
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 5 0.0000 0.84750 0.000 0.000 0.000 0.000 1.000 0.000
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 2 0.3864 0.67768 0.048 0.744 0.000 0.000 0.000 0.208
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.1887 0.76176 0.000 0.932 0.016 0.008 0.020 0.024
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.1007 0.77510 0.956 0.000 0.000 0.044 0.000 0.000
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 2 0.0260 0.77179 0.000 0.992 0.000 0.008 0.000 0.000
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 1 0.5672 0.30239 0.532 0.076 0.008 0.020 0.000 0.364
#> BE56F908-42DD-4019-A8AC-48884DA788B1 2 0.1863 0.77088 0.000 0.896 0.000 0.000 0.000 0.104
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 2 0.4015 0.69184 0.068 0.776 0.004 0.000 0.008 0.144
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 2 0.5945 -0.14192 0.216 0.396 0.000 0.000 0.000 0.388
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 3 0.6007 0.31598 0.024 0.000 0.544 0.072 0.028 0.332
#> 791D9EB8-42E0-4192-B064-B1126CA14481 2 0.4012 0.65723 0.076 0.748 0.000 0.000 0.000 0.176
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 2 0.6015 0.51684 0.000 0.644 0.016 0.100 0.156 0.084
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 2 0.4040 0.69858 0.000 0.808 0.016 0.056 0.088 0.032
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.0632 0.78320 0.976 0.000 0.000 0.024 0.000 0.000
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.0777 0.78752 0.972 0.000 0.000 0.004 0.000 0.024
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 3 0.3351 0.56328 0.000 0.000 0.712 0.288 0.000 0.000
#> D47C7B74-BB01-4614-B683-652F7130729C 6 0.7383 -0.18423 0.000 0.128 0.016 0.304 0.132 0.420
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 2 0.3508 0.63332 0.004 0.704 0.000 0.000 0.000 0.292
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 2 0.2121 0.76556 0.012 0.892 0.000 0.000 0.000 0.096
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.0858 0.78781 0.968 0.000 0.000 0.004 0.000 0.028
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.2623 0.75309 0.016 0.852 0.000 0.000 0.000 0.132
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.1007 0.77510 0.956 0.000 0.000 0.044 0.000 0.000
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 2 0.3323 0.68857 0.008 0.752 0.000 0.000 0.000 0.240
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 2 0.1967 0.76105 0.000 0.928 0.016 0.008 0.020 0.028
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 5 0.0692 0.84346 0.000 0.004 0.000 0.020 0.976 0.000
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 4 0.3210 0.73490 0.036 0.000 0.152 0.812 0.000 0.000
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 1 0.2212 0.73755 0.880 0.000 0.000 0.112 0.000 0.008
#> 58F11B66-AE40-417E-B465-811C6CF7311C 1 0.8131 -0.18757 0.348 0.152 0.008 0.052 0.112 0.328
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.0547 0.78426 0.980 0.000 0.000 0.020 0.000 0.000
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 6 0.6879 -0.23379 0.000 0.104 0.004 0.348 0.112 0.432
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 2 0.1267 0.77612 0.000 0.940 0.000 0.000 0.000 0.060
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#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 1 0.4034 0.51600 0.624 0.000 0.008 0.004 0.000 0.364
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 4 0.2841 0.74894 0.012 0.000 0.164 0.824 0.000 0.000
#> 74CF740D-201D-4070-99B9-F007E7C4D472 6 0.4977 0.14646 0.372 0.076 0.000 0.000 0.000 0.552
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 2 0.3626 0.69529 0.068 0.788 0.000 0.000 0.000 0.144
#> 78F28873-E471-497A-9405-FB8955808599 5 0.1405 0.83533 0.000 0.004 0.000 0.024 0.948 0.024
#> 29294D9A-434B-4581-9591-63D16107C7B1 6 0.7104 -0.21662 0.000 0.112 0.008 0.316 0.128 0.436
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.0881 0.76933 0.000 0.972 0.008 0.008 0.000 0.012
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 2 0.1524 0.77846 0.000 0.932 0.008 0.000 0.000 0.060
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 17397 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 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 0.798 0.878 0.951 0.4983 0.499 0.499
#> 3 3 0.612 0.748 0.834 0.2719 0.789 0.612
#> 4 4 0.827 0.846 0.936 0.1408 0.750 0.447
#> 5 5 0.834 0.811 0.916 0.0801 0.846 0.528
#> 6 6 0.775 0.719 0.839 0.0517 0.897 0.589
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
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 2 0.0000 0.93980 0.000 1.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.0000 0.95303 1.000 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 1 0.0000 0.95303 1.000 0.000
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.0000 0.95303 1.000 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.0000 0.95303 1.000 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.0000 0.95303 1.000 0.000
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.0000 0.93980 0.000 1.000
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.0000 0.93980 0.000 1.000
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.0000 0.95303 1.000 0.000
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 1 0.0000 0.95303 1.000 0.000
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 1 0.6343 0.78440 0.840 0.160
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 2 0.0000 0.93980 0.000 1.000
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.0000 0.95303 1.000 0.000
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 1 0.0000 0.95303 1.000 0.000
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.0000 0.95303 1.000 0.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 2 0.0000 0.93980 0.000 1.000
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 2 0.4298 0.86781 0.088 0.912
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 1 0.5408 0.82930 0.876 0.124
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.0000 0.95303 1.000 0.000
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.0000 0.95303 1.000 0.000
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 2 0.0000 0.93980 0.000 1.000
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 2 0.0000 0.93980 0.000 1.000
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 1 0.0000 0.95303 1.000 0.000
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 1 0.0000 0.95303 1.000 0.000
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 2 0.9129 0.52750 0.328 0.672
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 1 0.0000 0.95303 1.000 0.000
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.0000 0.95303 1.000 0.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 1 0.0376 0.94980 0.996 0.004
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.0000 0.93980 0.000 1.000
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 2 0.0000 0.93980 0.000 1.000
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 1 0.6712 0.76254 0.824 0.176
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.0000 0.93980 0.000 1.000
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.0000 0.95303 1.000 0.000
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 2 0.0000 0.93980 0.000 1.000
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 1 0.0000 0.95303 1.000 0.000
#> BE56F908-42DD-4019-A8AC-48884DA788B1 2 0.0000 0.93980 0.000 1.000
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 2 0.0000 0.93980 0.000 1.000
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 1 0.0000 0.95303 1.000 0.000
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 2 0.8386 0.62689 0.268 0.732
#> 791D9EB8-42E0-4192-B064-B1126CA14481 2 0.9710 0.35644 0.400 0.600
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 2 0.0000 0.93980 0.000 1.000
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 2 0.0000 0.93980 0.000 1.000
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.0000 0.95303 1.000 0.000
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.0000 0.95303 1.000 0.000
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 2 0.0000 0.93980 0.000 1.000
#> D47C7B74-BB01-4614-B683-652F7130729C 2 0.0000 0.93980 0.000 1.000
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 1 0.0000 0.95303 1.000 0.000
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 2 0.8813 0.58254 0.300 0.700
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.0000 0.95303 1.000 0.000
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.0000 0.93980 0.000 1.000
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.0000 0.95303 1.000 0.000
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 1 0.0000 0.95303 1.000 0.000
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 2 0.0000 0.93980 0.000 1.000
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 2 0.0000 0.93980 0.000 1.000
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 1 0.0000 0.95303 1.000 0.000
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 1 0.0000 0.95303 1.000 0.000
#> 58F11B66-AE40-417E-B465-811C6CF7311C 1 0.0000 0.95303 1.000 0.000
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.0000 0.95303 1.000 0.000
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 2 0.0000 0.93980 0.000 1.000
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 2 0.0000 0.93980 0.000 1.000
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 2 0.0000 0.93980 0.000 1.000
#> 739952C6-FF36-4E34-B881-E02FE17C4012 1 0.0000 0.95303 1.000 0.000
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 1 0.0000 0.95303 1.000 0.000
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 2 0.0000 0.93980 0.000 1.000
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 1 0.0000 0.95303 1.000 0.000
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 1 0.0000 0.95303 1.000 0.000
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 1 0.0000 0.95303 1.000 0.000
#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 1 0.0000 0.95303 1.000 0.000
#> F6B26185-139B-47A7-91EC-E885D94AC882 2 0.9896 0.23892 0.440 0.560
#> 81F30B6F-3E9A-4913-986B-C56D5F107A17 2 0.0000 0.93980 0.000 1.000
#> 2CCB3AE1-0D27-4493-B7AE-67C60BBC1C38 2 0.0000 0.93980 0.000 1.000
#> 329665BC-B959-47C5-B831-5546F94EDAC1 1 0.9977 0.08578 0.528 0.472
#> 8D4335F6-6ACB-4E38-B9F2-A2B5B647AE90 1 0.0000 0.95303 1.000 0.000
#> D181D0D8-FD8C-4259-9B34-97224CF27E1B 2 0.0000 0.93980 0.000 1.000
#> C0C10950-ABC5-4125-A33E-5AFA2D2574B0 2 0.0000 0.93980 0.000 1.000
#> 834D12DB-0925-422C-B15B-20A60A5F658C 2 0.0000 0.93980 0.000 1.000
#> 50314689-519F-4B27-884C-7816DD64CF4E 1 0.0000 0.95303 1.000 0.000
#> 2502A23E-E168-4A78-9C14-B93FBC9715B1 1 0.0000 0.95303 1.000 0.000
#> 3F8D01A3-5449-48A1-BDBA-BFE4D908AE31 1 0.9427 0.42790 0.640 0.360
#> 1C47A87B-C033-4705-B903-DB33B8C6EC34 1 0.0000 0.95303 1.000 0.000
#> 1329E1C1-743E-4541-9081-165572D4BF47 1 0.7950 0.66625 0.760 0.240
#> 1F3F8680-EEB6-4532-B81D-51957D1EA502 1 0.0000 0.95303 1.000 0.000
#> 50F69785-8B7A-4933-85B1-8DC539ACC72A 1 0.0000 0.95303 1.000 0.000
#> 9095FDD8-EEB2-4B17-85AB-3CDAC0BEC759 1 0.0000 0.95303 1.000 0.000
#> B6BF8C22-03E4-44F0-B2EF-2A3DD6ADE7D7 1 0.0000 0.95303 1.000 0.000
#> D6A907FC-3A1B-4E3B-A440-1CE9BE9B334B 2 0.0000 0.93980 0.000 1.000
#> 02588D5D-89CB-4D0B-9E96-A0270C3FF866 2 0.0000 0.93980 0.000 1.000
#> D50BBFC7-7774-4B12-938C-8D5373C12DFC 2 0.0000 0.93980 0.000 1.000
#> 6E930060-502B-49F5-A385-9B91DEBD05E4 1 0.0000 0.95303 1.000 0.000
#> F6606A8E-ACC6-4826-9547-E0017521724D 1 0.0938 0.94322 0.988 0.012
#> 981584D3-10DB-455C-8132-E8E5F44E1222 2 0.0000 0.93980 0.000 1.000
#> 47F6E197-7164-4289-95B5-8FD305A13B4C 1 0.0000 0.95303 1.000 0.000
#> 4522D871-9379-4643-B15E-9ACB556276C4 2 0.3114 0.89417 0.056 0.944
#> 7560B2B5-6AF5-4600-9F0A-BE25CF99B6B9 1 0.0000 0.95303 1.000 0.000
#> 38F5957E-0A99-432D-8F0B-B48E03F17668 1 0.0000 0.95303 1.000 0.000
#> 7A6BBBE6-2B3B-44EB-A101-C823739AB24F 2 0.0000 0.93980 0.000 1.000
#> 0782D25A-3B14-499E-A40C-3852B3A15B8B 2 0.9170 0.51909 0.332 0.668
#> 31D4B639-D1E5-479B-AEC2-34F758F2E470 1 0.0000 0.95303 1.000 0.000
#> C49078E1-E730-4E81-8EAE-5AAAB9FA1BF5 2 0.0000 0.93980 0.000 1.000
#> 48BCD3B8-917F-4E8F-BCEA-1363570A6486 2 0.6712 0.77269 0.176 0.824
#> F3BA6259-9F68-47D0-ABDD-1272AE112CAB 2 0.0000 0.93980 0.000 1.000
#> 3CA49BB1-30F6-47F3-A751-D5601E16BDBA 2 0.8555 0.61841 0.280 0.720
#> 47747595-686A-46B5-9EF4-A4CFB85D746D 2 0.8763 0.57211 0.296 0.704
#> 87974EFF-C2DE-4930-93E3-015E6D996440 2 0.0000 0.93980 0.000 1.000
#> 7D272E6C-826D-4D02-8383-6A3D5BBF3A5F 2 0.0000 0.93980 0.000 1.000
#> 070E540B-34DB-4016-B573-84924407F57F 1 0.0000 0.95303 1.000 0.000
#> 63F4281A-4D90-4589-879E-549097FB3459 1 0.0000 0.95303 1.000 0.000
#> 93A66EA0-0C74-4342-8140-72ECB01F99A1 2 0.7219 0.74493 0.200 0.800
#> C92AD683-FD09-4DD2-A5A5-C72EA5DD9B46 1 0.6148 0.79462 0.848 0.152
#> 38D2BE9E-15D4-47BC-8FEB-55310F23825B 2 0.9977 0.12894 0.472 0.528
#> B3029936-1EEF-4378-AA28-D5B2A32CDC86 1 0.0000 0.95303 1.000 0.000
#> 9A33172F-AEEA-4B7D-9605-0C60D7872CEA 1 0.0000 0.95303 1.000 0.000
#> F2BC32E5-4117-468E-B637-9EDB6E9CC6C7 1 0.0000 0.95303 1.000 0.000
#> EC319D0D-96C5-49DB-A2C4-BB6BFED6844F 1 0.0000 0.95303 1.000 0.000
#> 8CB71499-1B35-417D-95E1-D85CE71A2D8A 1 0.0000 0.95303 1.000 0.000
#> C5986AA8-D1C7-47BB-946F-1AE00503A444 2 0.0000 0.93980 0.000 1.000
#> CDB44ECD-3F01-4865-B4CC-5190E0FB64DC 1 0.0000 0.95303 1.000 0.000
#> 57633DCE-DC21-42AE-82EB-81F532CE9840 2 0.0000 0.93980 0.000 1.000
#> 715C1406-D224-466D-968E-46889824CD3D 1 0.0938 0.94321 0.988 0.012
#> 86A9A426-4B69-4572-9AFF-103C2724E5EA 1 0.0000 0.95303 1.000 0.000
#> A73A2348-FC50-42A5-ADF0-6647E5ECF0EA 1 0.0000 0.95303 1.000 0.000
#> 4BF75CF9-DA61-4A0B-940C-B09C7FE864F0 1 0.0000 0.95303 1.000 0.000
#> E3D18696-51D7-4BE3-A32B-3196E5F80438 1 0.0000 0.95303 1.000 0.000
#> C4C7C112-555F-46D5-8D5D-411C7737A4C9 2 0.4815 0.84725 0.104 0.896
#> 0A3E0A3D-D396-4340-8D98-4B79DBFC312C 2 0.0000 0.93980 0.000 1.000
#> 5513114D-2503-4D11-ADA4-35BE010510E5 1 0.0000 0.95303 1.000 0.000
#> EDDCFDBA-B3E7-4E3F-97CB-D017C9DC9EF7 1 0.0000 0.95303 1.000 0.000
#> 7046C2F2-A8DE-4AE1-B27D-094CF2EF3B3D 2 0.0000 0.93980 0.000 1.000
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#> AFA4FB45-C83D-411B-B8D8-79C736BE56F1 2 0.7139 0.73539 0.196 0.804
#> FECFA1E7-2578-405C-A707-DA877BF4B2FF 1 0.0000 0.95303 1.000 0.000
#> 62AE773F-A6EE-4704-A2C4-096A77C47DA7 1 0.0000 0.95303 1.000 0.000
#> EE9D0C01-742E-49EB-8859-8A803D17E9F2 1 0.0000 0.95303 1.000 0.000
#> 93C284BA-155E-46C5-BF1F-3F98EDF1709C 1 0.0000 0.95303 1.000 0.000
#> D630FA02-E6CB-4AD1-BC00-8BCB1BE82365 2 0.0000 0.93980 0.000 1.000
#> 81A2D108-72B9-4397-AADE-80FB5DC2354E 1 0.0000 0.95303 1.000 0.000
#> 1C3E4F12-F2EA-4A31-888F-FC70D78A9460 2 0.0000 0.93980 0.000 1.000
#> 1DD0D00E-72AA-4BCF-9A84-9A302EAD944A 2 0.0000 0.93980 0.000 1.000
#> EF184FFA-5DF2-4043-84A0-792C2AC15157 2 0.9710 0.35657 0.400 0.600
#> ACA8E16D-0BA5-4267-8483-13E1A077022B 2 0.0000 0.93980 0.000 1.000
#> DB4FD772-CAD0-48CE-810C-7BA6C16B7580 1 0.9710 0.32369 0.600 0.400
#> 771434CA-23FF-4E0E-9DBA-EE7A127E255A 2 0.0000 0.93980 0.000 1.000
#> 4DCEC4AC-4B50-4AA9-AD1B-FFE04C70EBE7 2 0.0000 0.93980 0.000 1.000
#> C4CA479C-05D8-4151-B93E-4F410CE04BF6 1 0.0000 0.95303 1.000 0.000
#> BD755511-C2CA-45C1-AD55-5BFDB8EA89B6 1 0.0000 0.95303 1.000 0.000
#> B6752B47-317E-4C9A-8BAE-E265FFC8E755 2 0.0000 0.93980 0.000 1.000
#> D50BAB19-5050-4C27-9F6B-6CB1C865552D 2 0.1414 0.92451 0.020 0.980
#> 4664FF20-60E6-4FBD-9760-5F543F725443 2 0.0000 0.93980 0.000 1.000
#> 655B32BE-AC22-4E6C-97D2-CC6B7F06B55E 1 0.0000 0.95303 1.000 0.000
#> FCE788C2-DBF8-4083-9EA2-10A08B857E9C 2 0.0000 0.93980 0.000 1.000
#> C4438C6E-8920-482D-A4A9-84FDB3EDBF21 1 0.0000 0.95303 1.000 0.000
#> F4F8D7E7-98B9-4145-9F69-5A1684997C87 2 0.0000 0.93980 0.000 1.000
#> 433CED6F-A9DE-444E-9A11-8929A3EFEC9B 1 0.0000 0.95303 1.000 0.000
#> C3FDCD45-2013-4BA2-BEAF-5ED6A3393783 1 0.0000 0.95303 1.000 0.000
#> 9ECE4E94-28D5-4692-82D4-5B7FA882543C 1 0.0000 0.95303 1.000 0.000
#> DC7CE58E-0EA8-4DDD-8AC4-DC5D5E8E7E3B 2 0.0000 0.93980 0.000 1.000
#> 67A7E9D8-C2A0-4B52-95BD-BDB781E7A9D5 2 0.0000 0.93980 0.000 1.000
#> 21FB1823-0E28-4F50-8546-D0F0847B1733 2 0.0000 0.93980 0.000 1.000
#> 93618EAD-7723-4616-BBB2-2D65E45EE3D2 1 0.0000 0.95303 1.000 0.000
#> 4864A82F-B571-4665-82FA-9BBEF2141C99 2 0.0000 0.93980 0.000 1.000
#> A34C537D-632D-4992-958D-5B85D190382C 1 0.0000 0.95303 1.000 0.000
#> 1ACE6BB9-A332-42DD-BA4F-E9902DB413AA 2 0.0000 0.93980 0.000 1.000
#> E3C1D3D8-1C78-4C16-B0E5-56B5CCE3C6B4 1 0.0000 0.95303 1.000 0.000
#> 1B0FE71F-DD59-45F7-BA73-E8BEEB7349A8 1 0.0000 0.95303 1.000 0.000
#> 8756589A-8352-4CDA-9297-D4C146D1DF47 1 0.0000 0.95303 1.000 0.000
#> E013D176-4FCB-4DF5-93F0-72803590B677 2 0.0000 0.93980 0.000 1.000
#> D0CCA6E0-8557-491C-AB82-289DF53E57FA 1 0.4298 0.86991 0.912 0.088
#> 933DB910-2728-4DC4-840E-B0CD1F13A421 2 0.0000 0.93980 0.000 1.000
#> 93910528-D681-4C69-86FD-326293B2F1C1 1 0.0000 0.95303 1.000 0.000
#> 3C9FDA2A-01C8-4F17-BBF1-5CAEAE3764D4 1 0.0000 0.95303 1.000 0.000
#> 8879C57E-8876-462F-810E-EE07C2F541AD 2 0.0000 0.93980 0.000 1.000
#> 130C8FBD-8D78-4212-8DD6-301EDFA339A9 1 0.0000 0.95303 1.000 0.000
#> 6C1FF3E9-0A8B-4B02-B0E9-EEF333E53592 2 0.9944 0.18579 0.456 0.544
#> 726497B7-C557-4D5C-A926-6DDA6136C899 2 0.0000 0.93980 0.000 1.000
#> 2299CD19-BF08-404C-B1BF-B570F12CCEF8 2 0.1184 0.92830 0.016 0.984
#> E8BCBDC5-E34E-422F-86C2-A4B30400EC86 2 0.0000 0.93980 0.000 1.000
#> B9EF0525-8B4A-4306-B06B-35AC457F5F48 2 0.0376 0.93695 0.004 0.996
#> F663E106-4E34-46C8-9CD9-AE5E9B8B27F0 2 0.0000 0.93980 0.000 1.000
#> 94E26CD5-238B-4D8C-B8E8-A62C44EB2B41 2 0.0000 0.93980 0.000 1.000
#> 135743C3-829E-46DC-BBA9-FF07C8067612 1 0.0000 0.95303 1.000 0.000
#> CBD7775A-2802-4EB7-9F62-6B80D7667AED 1 0.0000 0.95303 1.000 0.000
#> BD6DAD3D-2D5F-4560-9A4C-70D8A1D49732 1 0.0000 0.95303 1.000 0.000
#> ED86F92E-6B39-4C0C-9A60-870984F53C4D 1 0.0000 0.95303 1.000 0.000
#> CD3B289F-FAE1-405F-875F-23C1D2609DFC 1 0.0000 0.95303 1.000 0.000
#> D1C0E70B-B2BB-4FE7-8DEC-B50659739BAA 2 0.0000 0.93980 0.000 1.000
#> D2417A9C-CBF0-47F6-B20C-FB32AF632A84 1 0.0000 0.95303 1.000 0.000
#> EF5618C6-6AFB-4FB5-A32B-7946F18E9736 1 0.0000 0.95303 1.000 0.000
#> 36040CAB-FF77-4540-BB44-7961A6A54B29 2 0.0000 0.93980 0.000 1.000
#> 3808C3A9-22DA-4DC5-9F51-884A7EF574E6 1 0.9460 0.41854 0.636 0.364
#> 24363857-9A33-40D4-8409-C17225570833 2 0.9044 0.54390 0.320 0.680
#> A57E6132-9B76-493A-A167-8462263B7CDB 1 0.0000 0.95303 1.000 0.000
#> 4C020890-E652-4DE4-B66D-5F6F71405F64 1 0.0000 0.95303 1.000 0.000
#> 90C991CD-412E-4318-96E3-EB84B868FE9F 2 0.0000 0.93980 0.000 1.000
#> FA8E73EA-649C-43ED-854E-B9472820D1C6 1 0.9608 0.36747 0.616 0.384
#> 4D46B5DE-186A-4D35-8E1B-64701C13BC69 2 0.0000 0.93980 0.000 1.000
#> D516A82D-2F77-46B2-90F7-30BA5C78AAC8 2 0.0000 0.93980 0.000 1.000
#> 1FBD0805-13AE-4A82-8B94-640E1C921262 2 0.0000 0.93980 0.000 1.000
#> 264525A9-F7DB-4012-A93B-CF8A7626F125 2 0.0000 0.93980 0.000 1.000
#> AFF029D8-FFC9-4AA9-8049-F1E27C743F6F 2 0.0000 0.93980 0.000 1.000
#> 5B65768D-0E81-4469-9D69-69B07ED5ACD5 2 0.8144 0.66727 0.252 0.748
#> 2CB06CA6-8D1F-4BC7-99BE-66921805B8FD 2 0.0000 0.93980 0.000 1.000
#> 956357FB-9AB3-497C-BB55-9D15B486A422 1 0.0000 0.95303 1.000 0.000
#> C8F2BAD0-7124-46BF-975C-4B44BE980F93 1 0.0000 0.95303 1.000 0.000
#> E96AE267-3E23-4EA9-93E2-D92558155A17 2 0.0000 0.93980 0.000 1.000
#> 1C8DCA5B-965B-485A-83B6-5CBEB2117E47 1 0.9795 0.27673 0.584 0.416
#> DEAB79F5-336A-49B4-8046-AEE2F567FE46 1 0.0000 0.95303 1.000 0.000
#> 767FE89E-E19F-4F56-A744-CB3C5CCC085B 1 0.9170 0.49241 0.668 0.332
#> 7B0BF632-79E5-46B5-AAC8-4A6D5A193449 2 0.0000 0.93980 0.000 1.000
#> 9A281EDE-FF96-4E66-AEF4-692BDFA8E99D 2 0.5408 0.83207 0.124 0.876
#> B8C2D019-00C9-4E1E-8383-4FE2FFB4D2D7 2 0.0000 0.93980 0.000 1.000
#> 39A9B95F-186B-4550-9271-001151B1A626 1 0.5946 0.80484 0.856 0.144
#> CAD6E491-88FB-4221-90E9-AC9C68AECCB0 1 0.0000 0.95303 1.000 0.000
#> 15EFBC5B-C713-4718-BB6F-0EBBE4D6997F 2 0.8955 0.55948 0.312 0.688
#> BBA00038-09B1-461D-9F8E-484890B0D130 1 0.0000 0.95303 1.000 0.000
#> 16EBB885-A692-42A6-9027-F6AD769E0ABB 1 0.0000 0.95303 1.000 0.000
#> 2D57E24B-97A6-4B85-BC8F-3E02DDC6C460 2 0.0000 0.93980 0.000 1.000
#> C6E39F86-9DEF-4BCA-930B-2A3993D18901 2 0.0000 0.93980 0.000 1.000
#> 5BE4D8E9-DA18-426F-8AE6-075B15010390 1 0.0000 0.95303 1.000 0.000
#> 8E9CAAC7-31D3-473C-821C-2DAD37B44D3A 2 0.0000 0.93980 0.000 1.000
#> 368CFCA3-7BAB-4D6D-9AE1-55713A9965C1 2 0.9710 0.33763 0.400 0.600
#> 14DB79EF-DE2B-4197-AD32-F657E0655FCD 1 0.9998 0.00598 0.508 0.492
#> E73BCFCB-C5FE-4BF2-A236-B9E69711C121 1 0.0000 0.95303 1.000 0.000
#> CDAFAFEA-365B-4F25-AEC0-639B6E0CB626 1 0.7602 0.69821 0.780 0.220
#> 48A2AAEB-7F60-4284-808E-2058A531B17C 2 0.0000 0.93980 0.000 1.000
#> D4276C6F-9F0F-4F74-A85E-1E54272ADDED 2 0.0000 0.93980 0.000 1.000
#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 2 0.0000 0.93980 0.000 1.000
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 1 0.9661 0.34589 0.608 0.392
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 2 0.0000 0.93980 0.000 1.000
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 1 0.0000 0.95303 1.000 0.000
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 2 0.0000 0.93980 0.000 1.000
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 1 0.0000 0.95303 1.000 0.000
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 1 0.0000 0.95303 1.000 0.000
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 1 0.0000 0.95303 1.000 0.000
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 1 1.0000 -0.01078 0.504 0.496
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 2 0.0000 0.93980 0.000 1.000
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 2 0.0000 0.93980 0.000 1.000
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 1 0.0000 0.95303 1.000 0.000
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 2 0.0000 0.93980 0.000 1.000
#> C7997523-47CF-40F0-8803-AB873E38033C 2 0.9491 0.43781 0.368 0.632
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 2 0.0000 0.93980 0.000 1.000
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 2 0.0000 0.93980 0.000 1.000
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 1 0.6623 0.75997 0.828 0.172
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 1 0.0000 0.95303 1.000 0.000
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 2 0.0000 0.93980 0.000 1.000
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 2 0.3879 0.87883 0.076 0.924
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 2 0.0000 0.93980 0.000 1.000
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 2 0.0000 0.93980 0.000 1.000
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 1 0.0000 0.95303 1.000 0.000
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.0000 0.95303 1.000 0.000
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 1 0.0000 0.95303 1.000 0.000
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 1 0.0000 0.95303 1.000 0.000
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 2 0.0000 0.93980 0.000 1.000
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 2 0.1414 0.92526 0.020 0.980
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 2 0.0000 0.93980 0.000 1.000
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 2 0.0000 0.93980 0.000 1.000
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.0000 0.95303 1.000 0.000
#> E15EAAB4-0860-4716-9922-667F604CDF12 1 0.0000 0.95303 1.000 0.000
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 2 0.0000 0.93980 0.000 1.000
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 1 0.0000 0.95303 1.000 0.000
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 2 0.0000 0.93980 0.000 1.000
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.0000 0.95303 1.000 0.000
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 2 0.0000 0.93980 0.000 1.000
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 2 0.0000 0.93980 0.000 1.000
#> E2A4C651-977F-4F40-B5EC-46DF75944141 1 0.0000 0.95303 1.000 0.000
#> 433599CC-9DF5-4494-A607-8079FFE74D95 2 0.7950 0.67054 0.240 0.760
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 2 0.0000 0.93980 0.000 1.000
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 2 0.0000 0.93980 0.000 1.000
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.0000 0.95303 1.000 0.000
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 1 0.1184 0.93979 0.984 0.016
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 1 0.0000 0.95303 1.000 0.000
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 2 0.0000 0.93980 0.000 1.000
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 2 0.0000 0.93980 0.000 1.000
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 2 0.0000 0.93980 0.000 1.000
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.0000 0.93980 0.000 1.000
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 1 0.0000 0.95303 1.000 0.000
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.0000 0.93980 0.000 1.000
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.0000 0.95303 1.000 0.000
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 2 0.0000 0.93980 0.000 1.000
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.0000 0.95303 1.000 0.000
#> 057B580C-13FD-4185-943C-9DD5266B8554 2 0.9896 0.23884 0.440 0.560
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 1 0.3114 0.90267 0.944 0.056
#> 287F3696-25CF-4E67-A934-E50856AD4790 2 0.0000 0.93980 0.000 1.000
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.0000 0.93980 0.000 1.000
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 1 0.1843 0.92908 0.972 0.028
#> B80A74AB-A264-4396-93F8-FD976DBC1456 2 0.0000 0.93980 0.000 1.000
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.0000 0.93980 0.000 1.000
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.0000 0.95303 1.000 0.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.0000 0.95303 1.000 0.000
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 2 0.0000 0.93980 0.000 1.000
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 2 0.0000 0.93980 0.000 1.000
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.9686 0.36720 0.396 0.604
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.0000 0.95303 1.000 0.000
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 1 0.0000 0.95303 1.000 0.000
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.0000 0.93980 0.000 1.000
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.0000 0.95303 1.000 0.000
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.6048 0.80574 0.148 0.852
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 2 0.0000 0.93980 0.000 1.000
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 1 0.9323 0.45658 0.652 0.348
#> DD292494-92A2-43CB-B59B-726B2F429B29 1 0.9815 0.26466 0.580 0.420
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.0000 0.95303 1.000 0.000
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 1 0.0000 0.95303 1.000 0.000
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 2 0.0000 0.93980 0.000 1.000
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 2 0.0000 0.93980 0.000 1.000
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 1 0.0000 0.95303 1.000 0.000
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.0000 0.95303 1.000 0.000
#> 74CF740D-201D-4070-99B9-F007E7C4D472 1 0.0000 0.95303 1.000 0.000
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 2 0.7219 0.74156 0.200 0.800
#> 78F28873-E471-497A-9405-FB8955808599 2 0.0000 0.93980 0.000 1.000
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.0000 0.93980 0.000 1.000
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.0000 0.93980 0.000 1.000
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 1 0.9393 0.43800 0.644 0.356
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.5431 0.87730 0.000 0.284 0.716
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#> A34C537D-632D-4992-958D-5B85D190382C 1 0.5431 0.82352 0.716 0.000 0.284
#> 1ACE6BB9-A332-42DD-BA4F-E9902DB413AA 2 0.2165 0.78809 0.064 0.936 0.000
#> E3C1D3D8-1C78-4C16-B0E5-56B5CCE3C6B4 1 0.0000 0.80026 1.000 0.000 0.000
#> 1B0FE71F-DD59-45F7-BA73-E8BEEB7349A8 1 0.3038 0.81379 0.896 0.000 0.104
#> 8756589A-8352-4CDA-9297-D4C146D1DF47 1 0.5431 0.82352 0.716 0.000 0.284
#> E013D176-4FCB-4DF5-93F0-72803590B677 3 0.5431 0.87730 0.000 0.284 0.716
#> D0CCA6E0-8557-491C-AB82-289DF53E57FA 1 0.0000 0.80026 1.000 0.000 0.000
#> 933DB910-2728-4DC4-840E-B0CD1F13A421 2 0.6154 -0.26374 0.000 0.592 0.408
#> 93910528-D681-4C69-86FD-326293B2F1C1 1 0.1163 0.78154 0.972 0.028 0.000
#> 3C9FDA2A-01C8-4F17-BBF1-5CAEAE3764D4 1 0.0000 0.80026 1.000 0.000 0.000
#> 8879C57E-8876-462F-810E-EE07C2F541AD 2 0.0424 0.78707 0.000 0.992 0.008
#> 130C8FBD-8D78-4212-8DD6-301EDFA339A9 1 0.2066 0.81074 0.940 0.000 0.060
#> 6C1FF3E9-0A8B-4B02-B0E9-EEF333E53592 2 0.2774 0.78608 0.072 0.920 0.008
#> 726497B7-C557-4D5C-A926-6DDA6136C899 2 0.0237 0.79327 0.004 0.996 0.000
#> 2299CD19-BF08-404C-B1BF-B570F12CCEF8 2 0.2711 0.78321 0.088 0.912 0.000
#> E8BCBDC5-E34E-422F-86C2-A4B30400EC86 3 0.5431 0.87730 0.000 0.284 0.716
#> B9EF0525-8B4A-4306-B06B-35AC457F5F48 2 0.3879 0.76050 0.152 0.848 0.000
#> F663E106-4E34-46C8-9CD9-AE5E9B8B27F0 2 0.0000 0.79253 0.000 1.000 0.000
#> 94E26CD5-238B-4D8C-B8E8-A62C44EB2B41 2 0.0000 0.79253 0.000 1.000 0.000
#> 135743C3-829E-46DC-BBA9-FF07C8067612 1 0.5431 0.82352 0.716 0.000 0.284
#> CBD7775A-2802-4EB7-9F62-6B80D7667AED 1 0.0000 0.80026 1.000 0.000 0.000
#> BD6DAD3D-2D5F-4560-9A4C-70D8A1D49732 1 0.5431 0.82352 0.716 0.000 0.284
#> ED86F92E-6B39-4C0C-9A60-870984F53C4D 1 0.5431 0.82352 0.716 0.000 0.284
#> CD3B289F-FAE1-405F-875F-23C1D2609DFC 1 0.5397 0.82364 0.720 0.000 0.280
#> D1C0E70B-B2BB-4FE7-8DEC-B50659739BAA 2 0.0237 0.78996 0.000 0.996 0.004
#> D2417A9C-CBF0-47F6-B20C-FB32AF632A84 2 0.6204 0.54344 0.424 0.576 0.000
#> EF5618C6-6AFB-4FB5-A32B-7946F18E9736 1 0.5431 0.82352 0.716 0.000 0.284
#> 36040CAB-FF77-4540-BB44-7961A6A54B29 2 0.0000 0.79253 0.000 1.000 0.000
#> 3808C3A9-22DA-4DC5-9F51-884A7EF574E6 1 0.3554 0.75194 0.900 0.064 0.036
#> 24363857-9A33-40D4-8409-C17225570833 2 0.4887 0.72462 0.228 0.772 0.000
#> A57E6132-9B76-493A-A167-8462263B7CDB 1 0.0829 0.79627 0.984 0.012 0.004
#> 4C020890-E652-4DE4-B66D-5F6F71405F64 1 0.4555 0.54689 0.800 0.200 0.000
#> 90C991CD-412E-4318-96E3-EB84B868FE9F 2 0.0000 0.79253 0.000 1.000 0.000
#> FA8E73EA-649C-43ED-854E-B9472820D1C6 2 0.5431 0.69203 0.284 0.716 0.000
#> 4D46B5DE-186A-4D35-8E1B-64701C13BC69 3 0.5431 0.87730 0.000 0.284 0.716
#> D516A82D-2F77-46B2-90F7-30BA5C78AAC8 2 0.0592 0.79361 0.012 0.988 0.000
#> 1FBD0805-13AE-4A82-8B94-640E1C921262 3 0.5431 0.87730 0.000 0.284 0.716
#> 264525A9-F7DB-4012-A93B-CF8A7626F125 3 0.6204 0.69881 0.000 0.424 0.576
#> AFF029D8-FFC9-4AA9-8049-F1E27C743F6F 3 0.5431 0.87730 0.000 0.284 0.716
#> 5B65768D-0E81-4469-9D69-69B07ED5ACD5 2 0.5431 0.69203 0.284 0.716 0.000
#> 2CB06CA6-8D1F-4BC7-99BE-66921805B8FD 2 0.0237 0.79327 0.004 0.996 0.000
#> 956357FB-9AB3-497C-BB55-9D15B486A422 1 0.0237 0.79831 0.996 0.004 0.000
#> C8F2BAD0-7124-46BF-975C-4B44BE980F93 1 0.5431 0.82352 0.716 0.000 0.284
#> E96AE267-3E23-4EA9-93E2-D92558155A17 3 0.5431 0.87730 0.000 0.284 0.716
#> 1C8DCA5B-965B-485A-83B6-5CBEB2117E47 2 0.5760 0.65410 0.328 0.672 0.000
#> DEAB79F5-336A-49B4-8046-AEE2F567FE46 1 0.5431 0.82352 0.716 0.000 0.284
#> 767FE89E-E19F-4F56-A744-CB3C5CCC085B 2 0.5431 0.69203 0.284 0.716 0.000
#> 7B0BF632-79E5-46B5-AAC8-4A6D5A193449 3 0.5431 0.87730 0.000 0.284 0.716
#> 9A281EDE-FF96-4E66-AEF4-692BDFA8E99D 2 0.0892 0.79345 0.020 0.980 0.000
#> B8C2D019-00C9-4E1E-8383-4FE2FFB4D2D7 3 0.5431 0.87730 0.000 0.284 0.716
#> 39A9B95F-186B-4550-9271-001151B1A626 2 0.8318 0.41877 0.116 0.600 0.284
#> CAD6E491-88FB-4221-90E9-AC9C68AECCB0 1 0.0237 0.79831 0.996 0.004 0.000
#> 15EFBC5B-C713-4718-BB6F-0EBBE4D6997F 2 0.5254 0.70497 0.264 0.736 0.000
#> BBA00038-09B1-461D-9F8E-484890B0D130 1 0.2878 0.81454 0.904 0.000 0.096
#> 16EBB885-A692-42A6-9027-F6AD769E0ABB 1 0.5431 0.82352 0.716 0.000 0.284
#> 2D57E24B-97A6-4B85-BC8F-3E02DDC6C460 2 0.0424 0.78707 0.000 0.992 0.008
#> C6E39F86-9DEF-4BCA-930B-2A3993D18901 2 0.0000 0.79253 0.000 1.000 0.000
#> 5BE4D8E9-DA18-426F-8AE6-075B15010390 1 0.0000 0.80026 1.000 0.000 0.000
#> 8E9CAAC7-31D3-473C-821C-2DAD37B44D3A 2 0.0000 0.79253 0.000 1.000 0.000
#> 368CFCA3-7BAB-4D6D-9AE1-55713A9965C1 3 0.6252 0.60198 0.268 0.024 0.708
#> 14DB79EF-DE2B-4197-AD32-F657E0655FCD 2 0.5431 0.69203 0.284 0.716 0.000
#> E73BCFCB-C5FE-4BF2-A236-B9E69711C121 1 0.2066 0.75356 0.940 0.060 0.000
#> CDAFAFEA-365B-4F25-AEC0-639B6E0CB626 2 0.5591 0.67608 0.304 0.696 0.000
#> 48A2AAEB-7F60-4284-808E-2058A531B17C 2 0.0000 0.79253 0.000 1.000 0.000
#> D4276C6F-9F0F-4F74-A85E-1E54272ADDED 2 0.0237 0.78996 0.000 0.996 0.004
#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 2 0.1031 0.79320 0.024 0.976 0.000
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 2 0.5431 0.69203 0.284 0.716 0.000
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 3 0.5431 0.87730 0.000 0.284 0.716
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 1 0.5431 0.82352 0.716 0.000 0.284
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 3 0.5431 0.87730 0.000 0.284 0.716
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 1 0.5431 0.82352 0.716 0.000 0.284
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 1 0.5431 0.82352 0.716 0.000 0.284
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 1 0.3482 0.67116 0.872 0.128 0.000
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 2 0.6286 0.46088 0.464 0.536 0.000
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 2 0.0424 0.79369 0.008 0.992 0.000
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 2 0.0000 0.79253 0.000 1.000 0.000
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 1 0.0000 0.80026 1.000 0.000 0.000
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 2 0.0000 0.79253 0.000 1.000 0.000
#> C7997523-47CF-40F0-8803-AB873E38033C 2 0.3116 0.77728 0.108 0.892 0.000
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 2 0.0000 0.79253 0.000 1.000 0.000
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 3 0.5431 0.87730 0.000 0.284 0.716
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 3 0.1031 0.58674 0.024 0.000 0.976
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 1 0.5431 0.82352 0.716 0.000 0.284
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 2 0.0424 0.78707 0.000 0.992 0.008
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 2 0.4887 0.72461 0.228 0.772 0.000
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 3 0.5431 0.87730 0.000 0.284 0.716
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 2 0.5431 0.69203 0.284 0.716 0.000
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 1 0.0000 0.80026 1.000 0.000 0.000
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.5431 0.82352 0.716 0.000 0.284
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 1 0.5431 0.82352 0.716 0.000 0.284
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 1 0.5431 0.82352 0.716 0.000 0.284
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 3 0.5992 0.86443 0.016 0.268 0.716
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 2 0.9601 -0.39885 0.204 0.432 0.364
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 2 0.0000 0.79253 0.000 1.000 0.000
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 2 0.2711 0.78321 0.088 0.912 0.000
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.5431 0.82352 0.716 0.000 0.284
#> E15EAAB4-0860-4716-9922-667F604CDF12 1 0.0237 0.80121 0.996 0.000 0.004
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 2 0.6195 0.69066 0.276 0.704 0.020
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 1 0.0000 0.80026 1.000 0.000 0.000
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 3 0.7031 0.67900 0.196 0.088 0.716
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.5431 0.82352 0.716 0.000 0.284
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 2 0.0237 0.78996 0.000 0.996 0.004
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 2 0.0000 0.79253 0.000 1.000 0.000
#> E2A4C651-977F-4F40-B5EC-46DF75944141 1 0.0237 0.80121 0.996 0.000 0.004
#> 433599CC-9DF5-4494-A607-8079FFE74D95 3 0.8799 0.25139 0.220 0.196 0.584
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 2 0.5291 0.70225 0.268 0.732 0.000
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 3 0.5733 0.83855 0.000 0.324 0.676
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.5431 0.82352 0.716 0.000 0.284
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 1 0.0424 0.79596 0.992 0.008 0.000
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 1 0.0000 0.80026 1.000 0.000 0.000
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.5431 0.87730 0.000 0.284 0.716
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 3 0.5465 0.87433 0.000 0.288 0.712
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 3 0.5529 0.86739 0.000 0.296 0.704
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.1031 0.79327 0.024 0.976 0.000
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 1 0.6192 -0.12599 0.580 0.420 0.000
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.0000 0.79253 0.000 1.000 0.000
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.5431 0.82352 0.716 0.000 0.284
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 3 0.5650 0.85164 0.000 0.312 0.688
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.5431 0.82352 0.716 0.000 0.284
#> 057B580C-13FD-4185-943C-9DD5266B8554 1 0.4473 0.63826 0.828 0.008 0.164
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 1 0.1015 0.78986 0.980 0.008 0.012
#> 287F3696-25CF-4E67-A934-E50856AD4790 2 0.0747 0.77985 0.000 0.984 0.016
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.0237 0.79327 0.004 0.996 0.000
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 1 0.1964 0.75733 0.944 0.056 0.000
#> B80A74AB-A264-4396-93F8-FD976DBC1456 3 0.6235 0.67830 0.000 0.436 0.564
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.2711 0.78321 0.088 0.912 0.000
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.5431 0.82352 0.716 0.000 0.284
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.5431 0.82352 0.716 0.000 0.284
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 2 0.5138 0.71184 0.252 0.748 0.000
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 3 0.6267 0.64813 0.000 0.452 0.548
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.2796 0.78225 0.092 0.908 0.000
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.5431 0.82352 0.716 0.000 0.284
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 1 0.3267 0.68892 0.884 0.116 0.000
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.0424 0.78707 0.000 0.992 0.008
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.5431 0.82352 0.716 0.000 0.284
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.5431 0.69203 0.284 0.716 0.000
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 2 0.5431 0.69203 0.284 0.716 0.000
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 2 0.5431 0.69203 0.284 0.716 0.000
#> DD292494-92A2-43CB-B59B-726B2F429B29 2 0.6295 0.44259 0.472 0.528 0.000
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.5431 0.82352 0.716 0.000 0.284
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 1 0.0424 0.79596 0.992 0.008 0.000
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 2 0.3752 0.76391 0.144 0.856 0.000
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 2 0.5431 0.69203 0.284 0.716 0.000
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 1 0.0000 0.80026 1.000 0.000 0.000
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.5431 0.82352 0.716 0.000 0.284
#> 74CF740D-201D-4070-99B9-F007E7C4D472 1 0.0000 0.80026 1.000 0.000 0.000
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 2 0.4291 0.74813 0.180 0.820 0.000
#> 78F28873-E471-497A-9405-FB8955808599 3 0.5431 0.87730 0.000 0.284 0.716
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.0000 0.79253 0.000 1.000 0.000
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.0000 0.79253 0.000 1.000 0.000
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 2 0.5431 0.69203 0.284 0.716 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.0000 0.9255 0.000 0.000 1.000 0.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.0000 0.9666 1.000 0.000 0.000 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 4 0.0188 0.9065 0.004 0.000 0.000 0.996
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.0000 0.9666 1.000 0.000 0.000 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.0000 0.9666 1.000 0.000 0.000 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.0000 0.9666 1.000 0.000 0.000 0.000
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.0000 0.9107 0.000 1.000 0.000 0.000
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.0000 0.9107 0.000 1.000 0.000 0.000
#> 18971368-40F0-42D3-B1A3-707850C53B18 4 0.1118 0.8910 0.036 0.000 0.000 0.964
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 4 0.1211 0.8885 0.040 0.000 0.000 0.960
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 2 0.0000 0.9107 0.000 1.000 0.000 0.000
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 2 0.0000 0.9107 0.000 1.000 0.000 0.000
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.4624 0.4797 0.660 0.000 0.000 0.340
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 4 0.2216 0.8460 0.092 0.000 0.000 0.908
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.0000 0.9666 1.000 0.000 0.000 0.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 3 0.1792 0.8905 0.000 0.068 0.932 0.000
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 4 0.0469 0.9019 0.000 0.012 0.000 0.988
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 4 0.0188 0.9064 0.004 0.000 0.000 0.996
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#> 4864A82F-B571-4665-82FA-9BBEF2141C99 3 0.1474 0.9000 0.000 0.052 0.948 0.000
#> A34C537D-632D-4992-958D-5B85D190382C 1 0.0000 0.9666 1.000 0.000 0.000 0.000
#> 1ACE6BB9-A332-42DD-BA4F-E9902DB413AA 2 0.4843 0.3543 0.000 0.604 0.000 0.396
#> E3C1D3D8-1C78-4C16-B0E5-56B5CCE3C6B4 4 0.0921 0.8960 0.028 0.000 0.000 0.972
#> 1B0FE71F-DD59-45F7-BA73-E8BEEB7349A8 4 0.3074 0.7872 0.152 0.000 0.000 0.848
#> 8756589A-8352-4CDA-9297-D4C146D1DF47 1 0.0188 0.9632 0.996 0.000 0.000 0.004
#> E013D176-4FCB-4DF5-93F0-72803590B677 3 0.0000 0.9255 0.000 0.000 1.000 0.000
#> D0CCA6E0-8557-491C-AB82-289DF53E57FA 4 0.0188 0.9064 0.004 0.000 0.000 0.996
#> 933DB910-2728-4DC4-840E-B0CD1F13A421 2 0.0000 0.9107 0.000 1.000 0.000 0.000
#> 93910528-D681-4C69-86FD-326293B2F1C1 4 0.0000 0.9068 0.000 0.000 0.000 1.000
#> 3C9FDA2A-01C8-4F17-BBF1-5CAEAE3764D4 4 0.0592 0.9022 0.016 0.000 0.000 0.984
#> 8879C57E-8876-462F-810E-EE07C2F541AD 2 0.0336 0.9058 0.000 0.992 0.008 0.000
#> 130C8FBD-8D78-4212-8DD6-301EDFA339A9 4 0.2413 0.8590 0.020 0.000 0.064 0.916
#> 6C1FF3E9-0A8B-4B02-B0E9-EEF333E53592 2 0.0000 0.9107 0.000 1.000 0.000 0.000
#> 726497B7-C557-4D5C-A926-6DDA6136C899 2 0.0000 0.9107 0.000 1.000 0.000 0.000
#> 2299CD19-BF08-404C-B1BF-B570F12CCEF8 2 0.0000 0.9107 0.000 1.000 0.000 0.000
#> E8BCBDC5-E34E-422F-86C2-A4B30400EC86 3 0.0000 0.9255 0.000 0.000 1.000 0.000
#> B9EF0525-8B4A-4306-B06B-35AC457F5F48 2 0.0000 0.9107 0.000 1.000 0.000 0.000
#> F663E106-4E34-46C8-9CD9-AE5E9B8B27F0 2 0.0000 0.9107 0.000 1.000 0.000 0.000
#> 94E26CD5-238B-4D8C-B8E8-A62C44EB2B41 2 0.0000 0.9107 0.000 1.000 0.000 0.000
#> 135743C3-829E-46DC-BBA9-FF07C8067612 1 0.0000 0.9666 1.000 0.000 0.000 0.000
#> CBD7775A-2802-4EB7-9F62-6B80D7667AED 4 0.0000 0.9068 0.000 0.000 0.000 1.000
#> BD6DAD3D-2D5F-4560-9A4C-70D8A1D49732 1 0.0000 0.9666 1.000 0.000 0.000 0.000
#> ED86F92E-6B39-4C0C-9A60-870984F53C4D 1 0.0000 0.9666 1.000 0.000 0.000 0.000
#> CD3B289F-FAE1-405F-875F-23C1D2609DFC 1 0.0336 0.9600 0.992 0.000 0.000 0.008
#> D1C0E70B-B2BB-4FE7-8DEC-B50659739BAA 2 0.0000 0.9107 0.000 1.000 0.000 0.000
#> D2417A9C-CBF0-47F6-B20C-FB32AF632A84 4 0.0188 0.9064 0.004 0.000 0.000 0.996
#> EF5618C6-6AFB-4FB5-A32B-7946F18E9736 1 0.0000 0.9666 1.000 0.000 0.000 0.000
#> 36040CAB-FF77-4540-BB44-7961A6A54B29 2 0.0000 0.9107 0.000 1.000 0.000 0.000
#> 3808C3A9-22DA-4DC5-9F51-884A7EF574E6 4 0.0524 0.9038 0.004 0.000 0.008 0.988
#> 24363857-9A33-40D4-8409-C17225570833 4 0.4961 0.2272 0.000 0.448 0.000 0.552
#> A57E6132-9B76-493A-A167-8462263B7CDB 4 0.2530 0.8281 0.112 0.000 0.000 0.888
#> 4C020890-E652-4DE4-B66D-5F6F71405F64 4 0.0895 0.8994 0.020 0.004 0.000 0.976
#> 90C991CD-412E-4318-96E3-EB84B868FE9F 2 0.0000 0.9107 0.000 1.000 0.000 0.000
#> FA8E73EA-649C-43ED-854E-B9472820D1C6 4 0.0000 0.9068 0.000 0.000 0.000 1.000
#> 4D46B5DE-186A-4D35-8E1B-64701C13BC69 3 0.1211 0.9073 0.000 0.040 0.960 0.000
#> D516A82D-2F77-46B2-90F7-30BA5C78AAC8 2 0.0000 0.9107 0.000 1.000 0.000 0.000
#> 1FBD0805-13AE-4A82-8B94-640E1C921262 3 0.0000 0.9255 0.000 0.000 1.000 0.000
#> 264525A9-F7DB-4012-A93B-CF8A7626F125 2 0.2469 0.8200 0.000 0.892 0.108 0.000
#> AFF029D8-FFC9-4AA9-8049-F1E27C743F6F 3 0.0707 0.9156 0.000 0.000 0.980 0.020
#> 5B65768D-0E81-4469-9D69-69B07ED5ACD5 2 0.3528 0.7094 0.000 0.808 0.000 0.192
#> 2CB06CA6-8D1F-4BC7-99BE-66921805B8FD 2 0.0000 0.9107 0.000 1.000 0.000 0.000
#> 956357FB-9AB3-497C-BB55-9D15B486A422 4 0.0000 0.9068 0.000 0.000 0.000 1.000
#> C8F2BAD0-7124-46BF-975C-4B44BE980F93 1 0.0000 0.9666 1.000 0.000 0.000 0.000
#> E96AE267-3E23-4EA9-93E2-D92558155A17 3 0.0000 0.9255 0.000 0.000 1.000 0.000
#> 1C8DCA5B-965B-485A-83B6-5CBEB2117E47 4 0.0000 0.9068 0.000 0.000 0.000 1.000
#> DEAB79F5-336A-49B4-8046-AEE2F567FE46 1 0.0000 0.9666 1.000 0.000 0.000 0.000
#> 767FE89E-E19F-4F56-A744-CB3C5CCC085B 4 0.0188 0.9061 0.000 0.004 0.000 0.996
#> 7B0BF632-79E5-46B5-AAC8-4A6D5A193449 3 0.0000 0.9255 0.000 0.000 1.000 0.000
#> 9A281EDE-FF96-4E66-AEF4-692BDFA8E99D 2 0.3569 0.7175 0.000 0.804 0.000 0.196
#> B8C2D019-00C9-4E1E-8383-4FE2FFB4D2D7 3 0.0000 0.9255 0.000 0.000 1.000 0.000
#> 39A9B95F-186B-4550-9271-001151B1A626 1 0.1389 0.9143 0.952 0.048 0.000 0.000
#> CAD6E491-88FB-4221-90E9-AC9C68AECCB0 4 0.0188 0.9065 0.004 0.000 0.000 0.996
#> 15EFBC5B-C713-4718-BB6F-0EBBE4D6997F 4 0.4989 0.0941 0.000 0.472 0.000 0.528
#> BBA00038-09B1-461D-9F8E-484890B0D130 4 0.2408 0.8350 0.104 0.000 0.000 0.896
#> 16EBB885-A692-42A6-9027-F6AD769E0ABB 1 0.0000 0.9666 1.000 0.000 0.000 0.000
#> 2D57E24B-97A6-4B85-BC8F-3E02DDC6C460 2 0.0000 0.9107 0.000 1.000 0.000 0.000
#> C6E39F86-9DEF-4BCA-930B-2A3993D18901 2 0.1022 0.8873 0.000 0.968 0.000 0.032
#> 5BE4D8E9-DA18-426F-8AE6-075B15010390 4 0.0188 0.9065 0.004 0.000 0.000 0.996
#> 8E9CAAC7-31D3-473C-821C-2DAD37B44D3A 2 0.0000 0.9107 0.000 1.000 0.000 0.000
#> 368CFCA3-7BAB-4D6D-9AE1-55713A9965C1 3 0.1716 0.8819 0.000 0.000 0.936 0.064
#> 14DB79EF-DE2B-4197-AD32-F657E0655FCD 4 0.0000 0.9068 0.000 0.000 0.000 1.000
#> E73BCFCB-C5FE-4BF2-A236-B9E69711C121 4 0.0000 0.9068 0.000 0.000 0.000 1.000
#> CDAFAFEA-365B-4F25-AEC0-639B6E0CB626 4 0.0000 0.9068 0.000 0.000 0.000 1.000
#> 48A2AAEB-7F60-4284-808E-2058A531B17C 2 0.0000 0.9107 0.000 1.000 0.000 0.000
#> D4276C6F-9F0F-4F74-A85E-1E54272ADDED 2 0.0000 0.9107 0.000 1.000 0.000 0.000
#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 2 0.0000 0.9107 0.000 1.000 0.000 0.000
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 2 0.4994 0.0147 0.000 0.520 0.000 0.480
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 3 0.0000 0.9255 0.000 0.000 1.000 0.000
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 1 0.0000 0.9666 1.000 0.000 0.000 0.000
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 3 0.0000 0.9255 0.000 0.000 1.000 0.000
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 1 0.0000 0.9666 1.000 0.000 0.000 0.000
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 1 0.0000 0.9666 1.000 0.000 0.000 0.000
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 4 0.0000 0.9068 0.000 0.000 0.000 1.000
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 4 0.0376 0.9054 0.004 0.004 0.000 0.992
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 2 0.0000 0.9107 0.000 1.000 0.000 0.000
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 2 0.0000 0.9107 0.000 1.000 0.000 0.000
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 4 0.0000 0.9068 0.000 0.000 0.000 1.000
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 2 0.0000 0.9107 0.000 1.000 0.000 0.000
#> C7997523-47CF-40F0-8803-AB873E38033C 4 0.5080 0.2638 0.004 0.420 0.000 0.576
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 2 0.0000 0.9107 0.000 1.000 0.000 0.000
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 3 0.3172 0.7982 0.000 0.160 0.840 0.000
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 1 0.0707 0.9495 0.980 0.000 0.020 0.000
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 1 0.0000 0.9666 1.000 0.000 0.000 0.000
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 2 0.0000 0.9107 0.000 1.000 0.000 0.000
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 2 0.3649 0.7092 0.000 0.796 0.000 0.204
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 3 0.0000 0.9255 0.000 0.000 1.000 0.000
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 2 0.0188 0.9083 0.000 0.996 0.000 0.004
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 4 0.0469 0.9040 0.012 0.000 0.000 0.988
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.0000 0.9666 1.000 0.000 0.000 0.000
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 4 0.4072 0.6827 0.252 0.000 0.000 0.748
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 1 0.0000 0.9666 1.000 0.000 0.000 0.000
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 3 0.5466 0.2174 0.000 0.016 0.548 0.436
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 3 0.7808 0.1395 0.000 0.360 0.388 0.252
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 2 0.0000 0.9107 0.000 1.000 0.000 0.000
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 2 0.0000 0.9107 0.000 1.000 0.000 0.000
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.0000 0.9666 1.000 0.000 0.000 0.000
#> E15EAAB4-0860-4716-9922-667F604CDF12 4 0.3444 0.7519 0.184 0.000 0.000 0.816
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 4 0.0000 0.9068 0.000 0.000 0.000 1.000
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 4 0.0592 0.9022 0.016 0.000 0.000 0.984
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 3 0.0188 0.9239 0.000 0.000 0.996 0.004
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.0000 0.9666 1.000 0.000 0.000 0.000
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 2 0.0000 0.9107 0.000 1.000 0.000 0.000
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 2 0.0000 0.9107 0.000 1.000 0.000 0.000
#> E2A4C651-977F-4F40-B5EC-46DF75944141 4 0.1022 0.8935 0.032 0.000 0.000 0.968
#> 433599CC-9DF5-4494-A607-8079FFE74D95 1 0.3764 0.6794 0.784 0.216 0.000 0.000
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 4 0.0188 0.9059 0.000 0.000 0.004 0.996
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 2 0.1940 0.8513 0.000 0.924 0.076 0.000
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.0000 0.9666 1.000 0.000 0.000 0.000
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 4 0.0188 0.9065 0.004 0.000 0.000 0.996
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 4 0.1022 0.8935 0.032 0.000 0.000 0.968
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.0000 0.9255 0.000 0.000 1.000 0.000
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 2 0.4994 0.0627 0.000 0.520 0.480 0.000
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 2 0.3311 0.7471 0.000 0.828 0.172 0.000
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.0000 0.9107 0.000 1.000 0.000 0.000
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 4 0.0895 0.8975 0.004 0.020 0.000 0.976
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.0000 0.9107 0.000 1.000 0.000 0.000
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.0000 0.9666 1.000 0.000 0.000 0.000
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 2 0.4193 0.6041 0.000 0.732 0.268 0.000
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.0000 0.9666 1.000 0.000 0.000 0.000
#> 057B580C-13FD-4185-943C-9DD5266B8554 4 0.0188 0.9064 0.004 0.000 0.000 0.996
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 4 0.0000 0.9068 0.000 0.000 0.000 1.000
#> 287F3696-25CF-4E67-A934-E50856AD4790 2 0.0000 0.9107 0.000 1.000 0.000 0.000
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.0000 0.9107 0.000 1.000 0.000 0.000
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 4 0.0000 0.9068 0.000 0.000 0.000 1.000
#> B80A74AB-A264-4396-93F8-FD976DBC1456 2 0.0592 0.9003 0.000 0.984 0.016 0.000
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.0000 0.9107 0.000 1.000 0.000 0.000
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.0000 0.9666 1.000 0.000 0.000 0.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.0188 0.9632 0.996 0.000 0.000 0.004
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 2 0.0000 0.9107 0.000 1.000 0.000 0.000
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 2 0.3266 0.7626 0.000 0.832 0.168 0.000
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.0336 0.9056 0.000 0.992 0.000 0.008
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.0000 0.9666 1.000 0.000 0.000 0.000
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 4 0.0000 0.9068 0.000 0.000 0.000 1.000
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.0000 0.9107 0.000 1.000 0.000 0.000
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.0000 0.9666 1.000 0.000 0.000 0.000
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.4164 0.6382 0.000 0.736 0.000 0.264
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 2 0.4250 0.5898 0.000 0.724 0.000 0.276
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 4 0.0000 0.9068 0.000 0.000 0.000 1.000
#> DD292494-92A2-43CB-B59B-726B2F429B29 4 0.0188 0.9064 0.004 0.000 0.000 0.996
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.0336 0.9600 0.992 0.000 0.000 0.008
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 4 0.0000 0.9068 0.000 0.000 0.000 1.000
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 2 0.0469 0.9029 0.000 0.988 0.000 0.012
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 4 0.0188 0.9061 0.000 0.004 0.000 0.996
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 4 0.0188 0.9065 0.004 0.000 0.000 0.996
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.0000 0.9666 1.000 0.000 0.000 0.000
#> 74CF740D-201D-4070-99B9-F007E7C4D472 4 0.0188 0.9059 0.000 0.000 0.004 0.996
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 4 0.5016 0.3330 0.004 0.396 0.000 0.600
#> 78F28873-E471-497A-9405-FB8955808599 3 0.1792 0.8882 0.000 0.068 0.932 0.000
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.0000 0.9107 0.000 1.000 0.000 0.000
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.0000 0.9107 0.000 1.000 0.000 0.000
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 2 0.3486 0.7164 0.000 0.812 0.000 0.188
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.0000 0.8902 0.000 0.000 1.000 0.000 0.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.0000 0.9761 1.000 0.000 0.000 0.000 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 4 0.0162 0.8978 0.000 0.000 0.000 0.996 0.004
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.0000 0.9761 1.000 0.000 0.000 0.000 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.0000 0.9761 1.000 0.000 0.000 0.000 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.0000 0.9761 1.000 0.000 0.000 0.000 0.000
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.0000 0.9117 0.000 1.000 0.000 0.000 0.000
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.0510 0.9107 0.000 0.984 0.000 0.000 0.016
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#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.1043 0.9003 0.000 0.960 0.000 0.000 0.040
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 4 0.3913 0.5046 0.000 0.000 0.000 0.676 0.324
#> B80A74AB-A264-4396-93F8-FD976DBC1456 2 0.0162 0.9113 0.000 0.996 0.000 0.004 0.000
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.2377 0.8264 0.000 0.872 0.000 0.000 0.128
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.0162 0.9724 0.996 0.000 0.000 0.004 0.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.0000 0.9761 1.000 0.000 0.000 0.000 0.000
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 2 0.1410 0.8879 0.000 0.940 0.000 0.000 0.060
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 2 0.1282 0.8892 0.000 0.952 0.044 0.004 0.000
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 5 0.0510 0.8095 0.000 0.016 0.000 0.000 0.984
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.0000 0.9761 1.000 0.000 0.000 0.000 0.000
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 4 0.1732 0.8551 0.000 0.000 0.000 0.920 0.080
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.0794 0.9065 0.000 0.972 0.000 0.000 0.028
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.0290 0.9692 0.992 0.000 0.000 0.000 0.008
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 5 0.0566 0.8107 0.000 0.012 0.000 0.004 0.984
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 2 0.3641 0.7588 0.000 0.820 0.000 0.120 0.060
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 4 0.2732 0.7709 0.000 0.000 0.000 0.840 0.160
#> DD292494-92A2-43CB-B59B-726B2F429B29 5 0.0404 0.8120 0.000 0.000 0.000 0.012 0.988
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 4 0.0609 0.8884 0.020 0.000 0.000 0.980 0.000
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 5 0.3876 0.5141 0.000 0.000 0.000 0.316 0.684
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 2 0.3942 0.6143 0.000 0.728 0.000 0.260 0.012
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 4 0.1851 0.8458 0.000 0.000 0.000 0.912 0.088
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 4 0.0162 0.8978 0.000 0.000 0.000 0.996 0.004
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.0000 0.9761 1.000 0.000 0.000 0.000 0.000
#> 74CF740D-201D-4070-99B9-F007E7C4D472 5 0.1597 0.8036 0.000 0.000 0.012 0.048 0.940
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 5 0.0451 0.8122 0.000 0.004 0.000 0.008 0.988
#> 78F28873-E471-497A-9405-FB8955808599 2 0.4251 0.4068 0.000 0.624 0.372 0.004 0.000
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.0609 0.9097 0.000 0.980 0.000 0.000 0.020
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.0510 0.9107 0.000 0.984 0.000 0.000 0.016
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 2 0.4707 0.6348 0.000 0.716 0.000 0.212 0.072
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.0000 0.9289 0.000 0.000 1.000 0.000 0.000 0.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.0000 0.9624 1.000 0.000 0.000 0.000 0.000 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 6 0.0632 0.7981 0.000 0.000 0.000 0.000 0.024 0.976
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.0000 0.9624 1.000 0.000 0.000 0.000 0.000 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.0000 0.9624 1.000 0.000 0.000 0.000 0.000 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.0806 0.9459 0.972 0.000 0.000 0.000 0.020 0.008
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.1501 0.7573 0.000 0.924 0.000 0.000 0.076 0.000
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.0260 0.8148 0.000 0.992 0.000 0.000 0.008 0.000
#> 18971368-40F0-42D3-B1A3-707850C53B18 6 0.0790 0.7971 0.000 0.000 0.000 0.000 0.032 0.968
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 4 0.6101 0.3600 0.004 0.000 0.000 0.436 0.248 0.312
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 2 0.4324 0.6815 0.068 0.748 0.000 0.020 0.164 0.000
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 5 0.3804 0.6256 0.000 0.424 0.000 0.000 0.576 0.000
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 6 0.1141 0.7806 0.052 0.000 0.000 0.000 0.000 0.948
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 6 0.0935 0.7968 0.000 0.000 0.000 0.004 0.032 0.964
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.0000 0.9624 1.000 0.000 0.000 0.000 0.000 0.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 5 0.3198 0.8652 0.000 0.260 0.000 0.000 0.740 0.000
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 4 0.1643 0.7211 0.000 0.008 0.000 0.924 0.068 0.000
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 4 0.0000 0.7152 0.000 0.000 0.000 1.000 0.000 0.000
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.0891 0.9430 0.968 0.000 0.000 0.000 0.024 0.008
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.0000 0.9624 1.000 0.000 0.000 0.000 0.000 0.000
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 5 0.5313 0.4586 0.000 0.412 0.000 0.000 0.484 0.104
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 2 0.3706 -0.0114 0.000 0.620 0.000 0.000 0.380 0.000
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 6 0.3572 0.6436 0.000 0.000 0.000 0.204 0.032 0.764
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 1 0.0000 0.9624 1.000 0.000 0.000 0.000 0.000 0.000
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 6 0.4246 0.4176 0.000 0.000 0.000 0.016 0.452 0.532
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 4 0.5160 0.6233 0.160 0.008 0.000 0.648 0.184 0.000
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.0000 0.9624 1.000 0.000 0.000 0.000 0.000 0.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 6 0.1411 0.7917 0.000 0.000 0.000 0.004 0.060 0.936
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.0260 0.8148 0.000 0.992 0.000 0.000 0.008 0.000
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 5 0.3198 0.8652 0.000 0.260 0.000 0.000 0.740 0.000
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 4 0.0363 0.7131 0.000 0.012 0.000 0.988 0.000 0.000
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.0363 0.8133 0.000 0.988 0.000 0.000 0.012 0.000
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.0000 0.9624 1.000 0.000 0.000 0.000 0.000 0.000
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 2 0.2631 0.6530 0.000 0.820 0.000 0.000 0.180 0.000
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 4 0.5403 0.2680 0.360 0.000 0.000 0.516 0.124 0.000
#> BE56F908-42DD-4019-A8AC-48884DA788B1 6 0.3048 0.7286 0.000 0.020 0.000 0.004 0.152 0.824
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 4 0.5392 -0.2575 0.000 0.112 0.000 0.452 0.436 0.000
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 6 0.0260 0.8021 0.000 0.000 0.000 0.000 0.008 0.992
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 3 0.0000 0.9289 0.000 0.000 1.000 0.000 0.000 0.000
#> 791D9EB8-42E0-4192-B064-B1126CA14481 4 0.0363 0.7131 0.000 0.012 0.000 0.988 0.000 0.000
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 2 0.0713 0.8033 0.000 0.972 0.000 0.000 0.028 0.000
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 2 0.1663 0.7482 0.000 0.912 0.000 0.000 0.088 0.000
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.0000 0.9624 1.000 0.000 0.000 0.000 0.000 0.000
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.1444 0.9056 0.928 0.000 0.000 0.000 0.072 0.000
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 3 0.0000 0.9289 0.000 0.000 1.000 0.000 0.000 0.000
#> D47C7B74-BB01-4614-B683-652F7130729C 2 0.0520 0.8146 0.000 0.984 0.008 0.000 0.008 0.000
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 4 0.4544 0.6222 0.000 0.008 0.000 0.712 0.092 0.188
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 4 0.1434 0.7206 0.000 0.012 0.000 0.940 0.048 0.000
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.3612 0.7502 0.796 0.000 0.000 0.104 0.100 0.000
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.2996 0.6967 0.000 0.772 0.000 0.228 0.000 0.000
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.0000 0.9624 1.000 0.000 0.000 0.000 0.000 0.000
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 4 0.6087 0.3342 0.000 0.004 0.000 0.428 0.232 0.336
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 2 0.0260 0.8148 0.000 0.992 0.000 0.000 0.008 0.000
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 5 0.3198 0.8652 0.000 0.260 0.000 0.000 0.740 0.000
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 1 0.3175 0.6458 0.744 0.000 0.256 0.000 0.000 0.000
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 1 0.0000 0.9624 1.000 0.000 0.000 0.000 0.000 0.000
#> 58F11B66-AE40-417E-B465-811C6CF7311C 6 0.3320 0.6813 0.016 0.000 0.000 0.000 0.212 0.772
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.0000 0.9624 1.000 0.000 0.000 0.000 0.000 0.000
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 5 0.1918 0.7349 0.000 0.088 0.000 0.000 0.904 0.008
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 5 0.4227 -0.3861 0.000 0.004 0.000 0.008 0.496 0.492
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 2 0.0363 0.8133 0.000 0.988 0.000 0.000 0.012 0.000
#> 739952C6-FF36-4E34-B881-E02FE17C4012 4 0.5264 0.3515 0.000 0.000 0.000 0.520 0.104 0.376
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 1 0.0000 0.9624 1.000 0.000 0.000 0.000 0.000 0.000
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 2 0.0713 0.8122 0.000 0.972 0.000 0.000 0.028 0.000
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 1 0.0891 0.9430 0.968 0.000 0.000 0.000 0.024 0.008
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 6 0.0260 0.8021 0.000 0.000 0.000 0.000 0.008 0.992
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 1 0.4149 0.7494 0.784 0.000 0.000 0.084 0.036 0.096
#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 6 0.0146 0.8018 0.000 0.000 0.000 0.000 0.004 0.996
#> F6B26185-139B-47A7-91EC-E885D94AC882 4 0.6885 0.5280 0.000 0.144 0.164 0.564 0.096 0.032
#> 81F30B6F-3E9A-4913-986B-C56D5F107A17 6 0.5970 -0.2454 0.000 0.228 0.000 0.000 0.356 0.416
#> 2CCB3AE1-0D27-4493-B7AE-67C60BBC1C38 5 0.3198 0.8652 0.000 0.260 0.000 0.000 0.740 0.000
#> 329665BC-B959-47C5-B831-5546F94EDAC1 4 0.0363 0.7131 0.000 0.012 0.000 0.988 0.000 0.000
#> 8D4335F6-6ACB-4E38-B9F2-A2B5B647AE90 4 0.2260 0.7048 0.000 0.000 0.000 0.860 0.140 0.000
#> D181D0D8-FD8C-4259-9B34-97224CF27E1B 4 0.3841 0.5224 0.000 0.256 0.000 0.716 0.028 0.000
#> C0C10950-ABC5-4125-A33E-5AFA2D2574B0 5 0.3198 0.8652 0.000 0.260 0.000 0.000 0.740 0.000
#> 834D12DB-0925-422C-B15B-20A60A5F658C 4 0.4550 0.1208 0.000 0.420 0.000 0.544 0.036 0.000
#> 50314689-519F-4B27-884C-7816DD64CF4E 1 0.0000 0.9624 1.000 0.000 0.000 0.000 0.000 0.000
#> 2502A23E-E168-4A78-9C14-B93FBC9715B1 1 0.0000 0.9624 1.000 0.000 0.000 0.000 0.000 0.000
#> 3F8D01A3-5449-48A1-BDBA-BFE4D908AE31 6 0.0865 0.8002 0.000 0.000 0.000 0.000 0.036 0.964
#> 1C47A87B-C033-4705-B903-DB33B8C6EC34 6 0.5980 -0.1634 0.000 0.000 0.000 0.372 0.228 0.400
#> 1329E1C1-743E-4541-9081-165572D4BF47 4 0.3370 0.6992 0.000 0.064 0.000 0.812 0.124 0.000
#> 1F3F8680-EEB6-4532-B81D-51957D1EA502 1 0.0000 0.9624 1.000 0.000 0.000 0.000 0.000 0.000
#> 50F69785-8B7A-4933-85B1-8DC539ACC72A 1 0.0000 0.9624 1.000 0.000 0.000 0.000 0.000 0.000
#> 9095FDD8-EEB2-4B17-85AB-3CDAC0BEC759 6 0.1138 0.7970 0.004 0.000 0.012 0.000 0.024 0.960
#> B6BF8C22-03E4-44F0-B2EF-2A3DD6ADE7D7 6 0.6586 0.0698 0.324 0.000 0.000 0.284 0.024 0.368
#> D6A907FC-3A1B-4E3B-A440-1CE9BE9B334B 2 0.3432 0.6893 0.000 0.764 0.000 0.216 0.020 0.000
#> 02588D5D-89CB-4D0B-9E96-A0270C3FF866 2 0.0146 0.8157 0.000 0.996 0.000 0.000 0.004 0.000
#> D50BBFC7-7774-4B12-938C-8D5373C12DFC 2 0.1700 0.8054 0.000 0.928 0.000 0.048 0.024 0.000
#> 6E930060-502B-49F5-A385-9B91DEBD05E4 1 0.0000 0.9624 1.000 0.000 0.000 0.000 0.000 0.000
#> F6606A8E-ACC6-4826-9547-E0017521724D 4 0.5203 0.5962 0.000 0.004 0.000 0.632 0.180 0.184
#> 981584D3-10DB-455C-8132-E8E5F44E1222 4 0.2178 0.6324 0.000 0.132 0.000 0.868 0.000 0.000
#> 47F6E197-7164-4289-95B5-8FD305A13B4C 6 0.7308 0.1410 0.328 0.000 0.000 0.132 0.180 0.360
#> 4522D871-9379-4643-B15E-9ACB556276C4 3 0.0881 0.9146 0.012 0.008 0.972 0.000 0.000 0.008
#> 7560B2B5-6AF5-4600-9F0A-BE25CF99B6B9 1 0.1901 0.9012 0.912 0.000 0.000 0.004 0.076 0.008
#> 38F5957E-0A99-432D-8F0B-B48E03F17668 1 0.0000 0.9624 1.000 0.000 0.000 0.000 0.000 0.000
#> 7A6BBBE6-2B3B-44EB-A101-C823739AB24F 2 0.0363 0.8133 0.000 0.988 0.000 0.000 0.012 0.000
#> 0782D25A-3B14-499E-A40C-3852B3A15B8B 4 0.4238 -0.0275 0.000 0.444 0.000 0.540 0.016 0.000
#> 31D4B639-D1E5-479B-AEC2-34F758F2E470 6 0.0260 0.8021 0.000 0.000 0.000 0.000 0.008 0.992
#> C49078E1-E730-4E81-8EAE-5AAAB9FA1BF5 3 0.0000 0.9289 0.000 0.000 1.000 0.000 0.000 0.000
#> 48BCD3B8-917F-4E8F-BCEA-1363570A6486 2 0.4459 0.5017 0.000 0.640 0.000 0.320 0.032 0.008
#> F3BA6259-9F68-47D0-ABDD-1272AE112CAB 2 0.1074 0.8126 0.000 0.960 0.000 0.028 0.012 0.000
#> 3CA49BB1-30F6-47F3-A751-D5601E16BDBA 4 0.0547 0.7104 0.000 0.020 0.000 0.980 0.000 0.000
#> 47747595-686A-46B5-9EF4-A4CFB85D746D 3 0.0000 0.9289 0.000 0.000 1.000 0.000 0.000 0.000
#> 87974EFF-C2DE-4930-93E3-015E6D996440 5 0.2340 0.6906 0.000 0.044 0.056 0.000 0.896 0.004
#> 7D272E6C-826D-4D02-8383-6A3D5BBF3A5F 3 0.0000 0.9289 0.000 0.000 1.000 0.000 0.000 0.000
#> 070E540B-34DB-4016-B573-84924407F57F 4 0.2312 0.7087 0.000 0.000 0.000 0.876 0.112 0.012
#> 63F4281A-4D90-4589-879E-549097FB3459 6 0.5764 0.1632 0.000 0.000 0.000 0.280 0.216 0.504
#> 93A66EA0-0C74-4342-8140-72ECB01F99A1 3 0.2122 0.8473 0.000 0.000 0.900 0.000 0.024 0.076
#> C92AD683-FD09-4DD2-A5A5-C72EA5DD9B46 4 0.6808 0.4307 0.000 0.060 0.000 0.444 0.232 0.264
#> 38D2BE9E-15D4-47BC-8FEB-55310F23825B 2 0.3615 0.5617 0.000 0.700 0.000 0.008 0.292 0.000
#> B3029936-1EEF-4378-AA28-D5B2A32CDC86 4 0.3190 0.6943 0.000 0.008 0.000 0.772 0.220 0.000
#> 9A33172F-AEEA-4B7D-9605-0C60D7872CEA 1 0.0000 0.9624 1.000 0.000 0.000 0.000 0.000 0.000
#> F2BC32E5-4117-468E-B637-9EDB6E9CC6C7 6 0.3314 0.5260 0.000 0.000 0.256 0.000 0.004 0.740
#> EC319D0D-96C5-49DB-A2C4-BB6BFED6844F 1 0.2003 0.8561 0.884 0.000 0.000 0.000 0.116 0.000
#> 8CB71499-1B35-417D-95E1-D85CE71A2D8A 4 0.1320 0.7158 0.000 0.000 0.000 0.948 0.036 0.016
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#> 8E9CAAC7-31D3-473C-821C-2DAD37B44D3A 2 0.0260 0.8148 0.000 0.992 0.000 0.000 0.008 0.000
#> 368CFCA3-7BAB-4D6D-9AE1-55713A9965C1 3 0.3620 0.4810 0.000 0.000 0.648 0.000 0.000 0.352
#> 14DB79EF-DE2B-4197-AD32-F657E0655FCD 4 0.6132 0.3953 0.000 0.008 0.000 0.456 0.236 0.300
#> E73BCFCB-C5FE-4BF2-A236-B9E69711C121 4 0.5934 0.3670 0.000 0.000 0.000 0.448 0.232 0.320
#> CDAFAFEA-365B-4F25-AEC0-639B6E0CB626 4 0.5673 0.4488 0.000 0.008 0.000 0.544 0.152 0.296
#> 48A2AAEB-7F60-4284-808E-2058A531B17C 2 0.0458 0.8108 0.000 0.984 0.000 0.000 0.016 0.000
#> D4276C6F-9F0F-4F74-A85E-1E54272ADDED 2 0.0260 0.8158 0.000 0.992 0.000 0.000 0.008 0.000
#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 2 0.1807 0.8015 0.000 0.920 0.000 0.060 0.020 0.000
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 2 0.5466 0.4496 0.000 0.604 0.000 0.196 0.192 0.008
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 3 0.4798 0.3635 0.000 0.000 0.564 0.000 0.060 0.376
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 1 0.0000 0.9624 1.000 0.000 0.000 0.000 0.000 0.000
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 3 0.0000 0.9289 0.000 0.000 1.000 0.000 0.000 0.000
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 1 0.1332 0.9339 0.952 0.000 0.000 0.012 0.028 0.008
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 1 0.2733 0.8373 0.864 0.000 0.000 0.080 0.056 0.000
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 4 0.4697 0.6333 0.000 0.000 0.000 0.684 0.144 0.172
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 4 0.0260 0.7137 0.000 0.008 0.000 0.992 0.000 0.000
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 5 0.3835 0.6081 0.000 0.204 0.000 0.000 0.748 0.048
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 2 0.0363 0.8133 0.000 0.988 0.000 0.000 0.012 0.000
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 6 0.4605 0.5663 0.000 0.000 0.000 0.124 0.184 0.692
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 2 0.0260 0.8148 0.000 0.992 0.000 0.000 0.008 0.000
#> C7997523-47CF-40F0-8803-AB873E38033C 4 0.2854 0.5210 0.000 0.208 0.000 0.792 0.000 0.000
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 2 0.3055 0.7736 0.000 0.840 0.000 0.064 0.096 0.000
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 5 0.3198 0.8652 0.000 0.260 0.000 0.000 0.740 0.000
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 3 0.3151 0.6679 0.252 0.000 0.748 0.000 0.000 0.000
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 1 0.0000 0.9624 1.000 0.000 0.000 0.000 0.000 0.000
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 2 0.0713 0.8028 0.000 0.972 0.000 0.000 0.028 0.000
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 2 0.5978 0.0351 0.000 0.444 0.000 0.296 0.260 0.000
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 3 0.0000 0.9289 0.000 0.000 1.000 0.000 0.000 0.000
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 4 0.4396 0.3186 0.000 0.352 0.000 0.612 0.036 0.000
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 6 0.0632 0.7981 0.000 0.000 0.000 0.000 0.024 0.976
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.0000 0.9624 1.000 0.000 0.000 0.000 0.000 0.000
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 6 0.0547 0.8019 0.000 0.000 0.000 0.000 0.020 0.980
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 1 0.0363 0.9553 0.988 0.000 0.000 0.000 0.000 0.012
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 6 0.3101 0.5822 0.000 0.000 0.000 0.000 0.244 0.756
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 5 0.7505 -0.3405 0.000 0.084 0.284 0.304 0.316 0.012
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 2 0.1812 0.7961 0.000 0.912 0.000 0.080 0.008 0.000
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 2 0.3744 0.6853 0.000 0.756 0.000 0.200 0.044 0.000
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.0000 0.9624 1.000 0.000 0.000 0.000 0.000 0.000
#> E15EAAB4-0860-4716-9922-667F604CDF12 6 0.0146 0.8021 0.000 0.000 0.000 0.000 0.004 0.996
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 5 0.4718 0.4222 0.000 0.000 0.000 0.068 0.616 0.316
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 6 0.0260 0.8021 0.000 0.000 0.000 0.000 0.008 0.992
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 3 0.1501 0.8649 0.000 0.000 0.924 0.000 0.076 0.000
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.0291 0.9583 0.992 0.000 0.000 0.000 0.004 0.004
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 2 0.0363 0.8133 0.000 0.988 0.000 0.000 0.012 0.000
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 2 0.0363 0.8133 0.000 0.988 0.000 0.000 0.012 0.000
#> E2A4C651-977F-4F40-B5EC-46DF75944141 6 0.0632 0.7995 0.000 0.000 0.000 0.000 0.024 0.976
#> 433599CC-9DF5-4494-A607-8079FFE74D95 5 0.3735 0.7698 0.092 0.124 0.000 0.000 0.784 0.000
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 4 0.2969 0.6714 0.000 0.000 0.000 0.776 0.224 0.000
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 5 0.3198 0.8652 0.000 0.260 0.000 0.000 0.740 0.000
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.0000 0.9624 1.000 0.000 0.000 0.000 0.000 0.000
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 6 0.0363 0.8018 0.000 0.000 0.000 0.000 0.012 0.988
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 6 0.0000 0.8021 0.000 0.000 0.000 0.000 0.000 1.000
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.0000 0.9289 0.000 0.000 1.000 0.000 0.000 0.000
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 5 0.3314 0.8643 0.000 0.256 0.004 0.000 0.740 0.000
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 5 0.3198 0.8652 0.000 0.260 0.000 0.000 0.740 0.000
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.1418 0.8091 0.000 0.944 0.000 0.024 0.032 0.000
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 6 0.1765 0.7683 0.000 0.000 0.000 0.000 0.096 0.904
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.0363 0.8133 0.000 0.988 0.000 0.000 0.012 0.000
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.0000 0.9624 1.000 0.000 0.000 0.000 0.000 0.000
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 5 0.3198 0.8652 0.000 0.260 0.000 0.000 0.740 0.000
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.0000 0.9624 1.000 0.000 0.000 0.000 0.000 0.000
#> 057B580C-13FD-4185-943C-9DD5266B8554 6 0.5706 0.1832 0.000 0.000 0.004 0.376 0.144 0.476
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 4 0.0692 0.7203 0.000 0.000 0.000 0.976 0.020 0.004
#> 287F3696-25CF-4E67-A934-E50856AD4790 5 0.3198 0.8652 0.000 0.260 0.000 0.000 0.740 0.000
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.0291 0.8163 0.000 0.992 0.000 0.004 0.004 0.000
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 4 0.5535 0.1749 0.000 0.000 0.000 0.440 0.132 0.428
#> B80A74AB-A264-4396-93F8-FD976DBC1456 5 0.3198 0.8652 0.000 0.260 0.000 0.000 0.740 0.000
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.2579 0.7893 0.000 0.884 0.000 0.048 0.060 0.008
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.0777 0.9468 0.972 0.000 0.000 0.004 0.024 0.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.0993 0.9405 0.964 0.000 0.000 0.000 0.024 0.012
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 2 0.5870 0.1133 0.000 0.480 0.000 0.276 0.244 0.000
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 5 0.3198 0.8652 0.000 0.260 0.000 0.000 0.740 0.000
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.3541 0.6704 0.000 0.748 0.000 0.232 0.020 0.000
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.0260 0.9581 0.992 0.000 0.000 0.000 0.000 0.008
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 6 0.5997 0.0370 0.000 0.004 0.000 0.304 0.224 0.468
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.0146 0.8157 0.000 0.996 0.000 0.000 0.004 0.000
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.2051 0.8789 0.896 0.000 0.000 0.004 0.096 0.004
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 4 0.3354 0.6306 0.000 0.168 0.000 0.796 0.036 0.000
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 5 0.3051 0.5618 0.000 0.032 0.000 0.088 0.856 0.024
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 6 0.5870 0.0724 0.000 0.000 0.000 0.292 0.232 0.476
#> DD292494-92A2-43CB-B59B-726B2F429B29 4 0.1074 0.7187 0.000 0.012 0.000 0.960 0.028 0.000
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 6 0.0146 0.8022 0.000 0.000 0.000 0.000 0.004 0.996
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 4 0.2538 0.7082 0.000 0.000 0.000 0.860 0.124 0.016
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 5 0.1552 0.6292 0.000 0.020 0.000 0.004 0.940 0.036
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 6 0.6154 -0.1848 0.000 0.004 0.000 0.356 0.248 0.392
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 6 0.0458 0.8010 0.000 0.000 0.000 0.000 0.016 0.984
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.0000 0.9624 1.000 0.000 0.000 0.000 0.000 0.000
#> 74CF740D-201D-4070-99B9-F007E7C4D472 4 0.1036 0.7145 0.000 0.000 0.004 0.964 0.024 0.008
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 4 0.0363 0.7131 0.000 0.012 0.000 0.988 0.000 0.000
#> 78F28873-E471-497A-9405-FB8955808599 5 0.3858 0.8471 0.000 0.216 0.044 0.000 0.740 0.000
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.0260 0.8148 0.000 0.992 0.000 0.000 0.008 0.000
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.0146 0.8157 0.000 0.996 0.000 0.000 0.004 0.000
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 2 0.3107 0.7397 0.000 0.832 0.000 0.016 0.136 0.016
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["MAD", "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 17397 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 0.206 0.806 0.863 0.3181 0.750 0.750
#> 3 3 0.159 0.668 0.750 0.4676 0.953 0.938
#> 4 4 0.176 0.379 0.663 0.2692 0.774 0.689
#> 5 5 0.210 0.364 0.633 0.1203 0.876 0.763
#> 6 6 0.260 0.432 0.626 0.0586 0.842 0.638
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
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 2 0.4815 0.8393 0.104 0.896
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.2603 0.8712 0.956 0.044
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 1 0.3584 0.8720 0.932 0.068
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.4161 0.8705 0.916 0.084
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.2778 0.8748 0.952 0.048
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.1843 0.8647 0.972 0.028
#> 966A3A03-3879-4816-A1E9-D805F6018836 1 0.7219 0.7952 0.800 0.200
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 1 0.4690 0.8614 0.900 0.100
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.1633 0.8641 0.976 0.024
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 1 0.3733 0.8814 0.928 0.072
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 1 0.2603 0.8693 0.956 0.044
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 1 0.8081 0.7203 0.752 0.248
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.1633 0.8641 0.976 0.024
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 1 0.3584 0.8720 0.932 0.068
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.1633 0.8641 0.976 0.024
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 2 0.5519 0.8563 0.128 0.872
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#> 264525A9-F7DB-4012-A93B-CF8A7626F125 2 0.8661 0.7454 0.288 0.712
#> AFF029D8-FFC9-4AA9-8049-F1E27C743F6F 1 0.7745 0.7781 0.772 0.228
#> 5B65768D-0E81-4469-9D69-69B07ED5ACD5 1 0.5178 0.8525 0.884 0.116
#> 2CB06CA6-8D1F-4BC7-99BE-66921805B8FD 1 0.5737 0.8428 0.864 0.136
#> 956357FB-9AB3-497C-BB55-9D15B486A422 1 0.1843 0.8647 0.972 0.028
#> C8F2BAD0-7124-46BF-975C-4B44BE980F93 1 0.1184 0.8665 0.984 0.016
#> E96AE267-3E23-4EA9-93E2-D92558155A17 2 0.6343 0.8408 0.160 0.840
#> 1C8DCA5B-965B-485A-83B6-5CBEB2117E47 1 0.5294 0.8761 0.880 0.120
#> DEAB79F5-336A-49B4-8046-AEE2F567FE46 1 0.4431 0.8682 0.908 0.092
#> 767FE89E-E19F-4F56-A744-CB3C5CCC085B 1 0.4562 0.8752 0.904 0.096
#> 7B0BF632-79E5-46B5-AAC8-4A6D5A193449 2 0.5519 0.8563 0.128 0.872
#> 9A281EDE-FF96-4E66-AEF4-692BDFA8E99D 1 0.3733 0.8688 0.928 0.072
#> B8C2D019-00C9-4E1E-8383-4FE2FFB4D2D7 2 0.5629 0.8448 0.132 0.868
#> 39A9B95F-186B-4550-9271-001151B1A626 1 0.7950 0.7466 0.760 0.240
#> CAD6E491-88FB-4221-90E9-AC9C68AECCB0 1 0.3733 0.8748 0.928 0.072
#> 15EFBC5B-C713-4718-BB6F-0EBBE4D6997F 1 0.4815 0.8738 0.896 0.104
#> BBA00038-09B1-461D-9F8E-484890B0D130 1 0.7376 0.7971 0.792 0.208
#> 16EBB885-A692-42A6-9027-F6AD769E0ABB 1 0.3879 0.8789 0.924 0.076
#> 2D57E24B-97A6-4B85-BC8F-3E02DDC6C460 1 0.8909 0.6143 0.692 0.308
#> C6E39F86-9DEF-4BCA-930B-2A3993D18901 1 0.3584 0.8682 0.932 0.068
#> 5BE4D8E9-DA18-426F-8AE6-075B15010390 1 0.2236 0.8708 0.964 0.036
#> 8E9CAAC7-31D3-473C-821C-2DAD37B44D3A 1 0.7219 0.7927 0.800 0.200
#> 368CFCA3-7BAB-4D6D-9AE1-55713A9965C1 1 0.9998 -0.1372 0.508 0.492
#> 14DB79EF-DE2B-4197-AD32-F657E0655FCD 1 0.4562 0.8759 0.904 0.096
#> E73BCFCB-C5FE-4BF2-A236-B9E69711C121 1 0.3733 0.8748 0.928 0.072
#> CDAFAFEA-365B-4F25-AEC0-639B6E0CB626 1 0.4022 0.8785 0.920 0.080
#> 48A2AAEB-7F60-4284-808E-2058A531B17C 1 0.8267 0.7159 0.740 0.260
#> D4276C6F-9F0F-4F74-A85E-1E54272ADDED 1 0.7815 0.7534 0.768 0.232
#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 1 0.5737 0.8703 0.864 0.136
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 1 0.7453 0.8051 0.788 0.212
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 1 0.9963 0.0980 0.536 0.464
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 1 0.1633 0.8641 0.976 0.024
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 1 0.9000 0.5754 0.684 0.316
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 1 0.2778 0.8673 0.952 0.048
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 1 0.2948 0.8721 0.948 0.052
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 1 0.2778 0.8743 0.952 0.048
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 1 0.8661 0.5644 0.712 0.288
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 1 0.6148 0.8560 0.848 0.152
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 1 0.6531 0.8223 0.832 0.168
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 1 0.3733 0.8738 0.928 0.072
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 1 0.4298 0.8714 0.912 0.088
#> C7997523-47CF-40F0-8803-AB873E38033C 1 0.8386 0.5795 0.732 0.268
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 2 0.7056 0.8070 0.192 0.808
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 2 0.5842 0.8564 0.140 0.860
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 1 0.9661 0.3577 0.608 0.392
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 1 0.1633 0.8641 0.976 0.024
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 1 0.6531 0.8205 0.832 0.168
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 1 0.3879 0.8742 0.924 0.076
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 2 0.9393 0.6101 0.356 0.644
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 1 0.4298 0.8556 0.912 0.088
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 1 0.2778 0.8756 0.952 0.048
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.2948 0.8725 0.948 0.052
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 1 0.7299 0.7993 0.796 0.204
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 1 0.4161 0.8701 0.916 0.084
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 1 0.9954 0.1422 0.540 0.460
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 2 0.5059 0.8284 0.112 0.888
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 1 0.8443 0.7029 0.728 0.272
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 1 0.7602 0.7818 0.780 0.220
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.1633 0.8641 0.976 0.024
#> E15EAAB4-0860-4716-9922-667F604CDF12 1 0.4161 0.8760 0.916 0.084
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 1 0.9608 0.2713 0.616 0.384
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 1 0.4022 0.8745 0.920 0.080
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 1 0.8713 0.6519 0.708 0.292
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.3431 0.8746 0.936 0.064
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 1 0.6531 0.8173 0.832 0.168
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 1 0.6712 0.8165 0.824 0.176
#> E2A4C651-977F-4F40-B5EC-46DF75944141 1 0.1843 0.8647 0.972 0.028
#> 433599CC-9DF5-4494-A607-8079FFE74D95 1 0.7602 0.7937 0.780 0.220
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 1 0.6343 0.8460 0.840 0.160
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 2 0.7139 0.8416 0.196 0.804
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.3584 0.8722 0.932 0.068
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 1 0.4815 0.8754 0.896 0.104
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 1 0.3879 0.8711 0.924 0.076
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 2 0.4690 0.8376 0.100 0.900
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 2 0.7139 0.8416 0.196 0.804
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 2 0.7056 0.8438 0.192 0.808
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 1 0.6148 0.8312 0.848 0.152
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 1 0.5519 0.8680 0.872 0.128
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 1 0.8386 0.7104 0.732 0.268
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.1843 0.8647 0.972 0.028
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 2 0.5519 0.8563 0.128 0.872
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.4022 0.8748 0.920 0.080
#> 057B580C-13FD-4185-943C-9DD5266B8554 1 0.4690 0.8741 0.900 0.100
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 1 0.3114 0.8783 0.944 0.056
#> 287F3696-25CF-4E67-A934-E50856AD4790 1 0.8955 0.5988 0.688 0.312
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 1 0.5178 0.8611 0.884 0.116
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 1 0.3274 0.8800 0.940 0.060
#> B80A74AB-A264-4396-93F8-FD976DBC1456 2 0.7056 0.8435 0.192 0.808
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 1 0.7602 0.7818 0.780 0.220
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.2423 0.8725 0.960 0.040
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.4690 0.8710 0.900 0.100
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 1 0.4815 0.8750 0.896 0.104
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 2 0.8608 0.7560 0.284 0.716
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 1 0.2948 0.8740 0.948 0.052
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.1843 0.8647 0.972 0.028
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 1 0.4022 0.8743 0.920 0.080
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 1 0.6531 0.8173 0.832 0.168
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.2423 0.8725 0.960 0.040
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 1 0.4431 0.8539 0.908 0.092
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 2 0.9580 0.5791 0.380 0.620
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 1 0.4431 0.8758 0.908 0.092
#> DD292494-92A2-43CB-B59B-726B2F429B29 1 0.3584 0.8799 0.932 0.068
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.3584 0.8771 0.932 0.068
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 1 0.4022 0.8786 0.920 0.080
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 1 0.6712 0.8385 0.824 0.176
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 1 0.5178 0.8532 0.884 0.116
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 1 0.4298 0.8725 0.912 0.088
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.9661 0.3577 0.608 0.392
#> 74CF740D-201D-4070-99B9-F007E7C4D472 1 0.9170 0.5395 0.668 0.332
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 1 0.9850 0.0450 0.572 0.428
#> 78F28873-E471-497A-9405-FB8955808599 2 0.9323 0.6449 0.348 0.652
#> 29294D9A-434B-4581-9591-63D16107C7B1 1 0.8608 0.6786 0.716 0.284
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 1 0.6531 0.8257 0.832 0.168
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 1 0.2043 0.8735 0.968 0.032
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 2 0.0848 0.68185 0.008 0.984 0.008
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.2550 0.79195 0.932 0.012 0.056
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 1 0.2772 0.79607 0.916 0.004 0.080
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.2749 0.78740 0.924 0.012 0.064
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.2496 0.79818 0.928 0.004 0.068
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.4784 0.75922 0.796 0.004 0.200
#> 966A3A03-3879-4816-A1E9-D805F6018836 1 0.7097 0.65719 0.668 0.052 0.280
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 1 0.6630 0.72686 0.672 0.028 0.300
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.3918 0.77394 0.856 0.004 0.140
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 1 0.4575 0.79961 0.812 0.004 0.184
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 1 0.5292 0.77708 0.764 0.008 0.228
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 1 0.8705 0.45834 0.524 0.116 0.360
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.3983 0.77495 0.852 0.004 0.144
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 1 0.2772 0.79607 0.916 0.004 0.080
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.3349 0.78322 0.888 0.004 0.108
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 3 0.7278 0.51753 0.028 0.456 0.516
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 1 0.5335 0.76754 0.760 0.008 0.232
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 1 0.6229 0.70274 0.700 0.020 0.280
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.2860 0.79632 0.912 0.004 0.084
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.2939 0.79218 0.916 0.012 0.072
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 1 0.5008 0.78929 0.804 0.016 0.180
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 1 0.9313 0.27581 0.512 0.200 0.288
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 1 0.4915 0.79638 0.832 0.036 0.132
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 1 0.7752 0.02714 0.496 0.456 0.048
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 1 0.6897 0.70358 0.712 0.068 0.220
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 1 0.3267 0.79852 0.884 0.000 0.116
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.2846 0.78656 0.924 0.020 0.056
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 1 0.4418 0.80404 0.848 0.020 0.132
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 1 0.7368 0.65769 0.604 0.044 0.352
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 3 0.9213 0.50416 0.160 0.356 0.484
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 1 0.6229 0.70274 0.700 0.020 0.280
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 1 0.7306 0.63837 0.616 0.044 0.340
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.2269 0.79053 0.944 0.016 0.040
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 1 0.7213 0.65900 0.680 0.068 0.252
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 1 0.4602 0.80452 0.832 0.016 0.152
#> BE56F908-42DD-4019-A8AC-48884DA788B1 2 0.9676 -0.00684 0.288 0.460 0.252
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 3 0.9065 -0.18341 0.416 0.136 0.448
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 1 0.5171 0.79732 0.784 0.012 0.204
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 1 0.7058 0.68715 0.720 0.180 0.100
#> 791D9EB8-42E0-4192-B064-B1126CA14481 1 0.7284 0.61672 0.620 0.044 0.336
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 1 0.8452 0.44730 0.556 0.104 0.340
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 1 0.9313 0.27581 0.512 0.200 0.288
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.3349 0.78424 0.888 0.004 0.108
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.3528 0.79547 0.892 0.016 0.092
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 2 0.5746 0.48111 0.180 0.780 0.040
#> D47C7B74-BB01-4614-B683-652F7130729C 1 0.8198 0.53228 0.596 0.100 0.304
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 1 0.3816 0.79606 0.852 0.000 0.148
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 1 0.4452 0.79603 0.808 0.000 0.192
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.2772 0.79308 0.916 0.004 0.080
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 1 0.7536 0.65191 0.640 0.068 0.292
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.2280 0.79127 0.940 0.008 0.052
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 1 0.3454 0.79991 0.888 0.008 0.104
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 1 0.6881 0.67798 0.648 0.032 0.320
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 3 0.9172 0.50855 0.156 0.356 0.488
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 1 0.7868 0.22273 0.524 0.420 0.056
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 1 0.3031 0.79164 0.912 0.012 0.076
#> 58F11B66-AE40-417E-B465-811C6CF7311C 1 0.4679 0.79436 0.832 0.020 0.148
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.3644 0.78132 0.872 0.004 0.124
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 1 0.6897 0.69127 0.712 0.068 0.220
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 1 0.7213 0.65900 0.680 0.068 0.252
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 1 0.7368 0.65769 0.604 0.044 0.352
#> 739952C6-FF36-4E34-B881-E02FE17C4012 1 0.4834 0.75818 0.792 0.004 0.204
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#> 368CFCA3-7BAB-4D6D-9AE1-55713A9965C1 2 0.7807 0.05817 0.432 0.516 0.052
#> 14DB79EF-DE2B-4197-AD32-F657E0655FCD 1 0.4062 0.79360 0.836 0.000 0.164
#> E73BCFCB-C5FE-4BF2-A236-B9E69711C121 1 0.3295 0.79693 0.896 0.008 0.096
#> CDAFAFEA-365B-4F25-AEC0-639B6E0CB626 1 0.4033 0.79679 0.856 0.008 0.136
#> 48A2AAEB-7F60-4284-808E-2058A531B17C 1 0.7694 0.60711 0.632 0.076 0.292
#> D4276C6F-9F0F-4F74-A85E-1E54272ADDED 1 0.7613 0.58707 0.620 0.064 0.316
#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 1 0.5633 0.78697 0.768 0.024 0.208
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 1 0.6796 0.70255 0.708 0.056 0.236
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 1 0.9772 0.01692 0.440 0.268 0.292
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 1 0.3349 0.78424 0.888 0.004 0.108
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 1 0.8308 0.42789 0.568 0.336 0.096
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 1 0.5618 0.73770 0.732 0.008 0.260
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 1 0.2955 0.79420 0.912 0.008 0.080
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 1 0.3619 0.79802 0.864 0.000 0.136
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 1 0.9338 0.26852 0.468 0.172 0.360
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 1 0.5723 0.75817 0.744 0.016 0.240
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 1 0.7214 0.65603 0.632 0.044 0.324
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 1 0.2625 0.79587 0.916 0.000 0.084
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 1 0.6800 0.71455 0.660 0.032 0.308
#> C7997523-47CF-40F0-8803-AB873E38033C 1 0.9256 0.19480 0.444 0.156 0.400
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 2 0.8614 0.27856 0.128 0.568 0.304
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 3 0.7262 0.52466 0.028 0.444 0.528
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 1 0.7752 0.02714 0.496 0.456 0.048
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 1 0.3349 0.78424 0.888 0.004 0.108
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 1 0.7741 0.59348 0.568 0.056 0.376
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 1 0.3619 0.79655 0.864 0.000 0.136
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 2 0.6839 0.28019 0.272 0.684 0.044
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 1 0.6819 0.65799 0.644 0.028 0.328
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 1 0.3682 0.79379 0.876 0.008 0.116
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.2651 0.79112 0.928 0.012 0.060
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 1 0.5631 0.74900 0.804 0.064 0.132
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 1 0.6001 0.76064 0.784 0.072 0.144
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 1 0.9709 0.06394 0.452 0.252 0.296
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 2 0.7477 0.39336 0.068 0.648 0.284
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 1 0.8000 0.57518 0.620 0.096 0.284
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 1 0.7159 0.64653 0.660 0.052 0.288
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.3030 0.78613 0.904 0.004 0.092
#> E15EAAB4-0860-4716-9922-667F604CDF12 1 0.3091 0.79724 0.912 0.016 0.072
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 3 0.9758 0.09434 0.356 0.232 0.412
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 1 0.2749 0.79175 0.924 0.012 0.064
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 1 0.8249 0.60650 0.636 0.164 0.200
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.2749 0.79184 0.924 0.012 0.064
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 1 0.6927 0.66800 0.664 0.040 0.296
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 1 0.6800 0.66201 0.660 0.032 0.308
#> E2A4C651-977F-4F40-B5EC-46DF75944141 1 0.4733 0.75973 0.800 0.004 0.196
#> 433599CC-9DF5-4494-A607-8079FFE74D95 1 0.6897 0.69127 0.712 0.068 0.220
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 1 0.6950 0.71714 0.692 0.056 0.252
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 3 0.8113 0.55997 0.068 0.428 0.504
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.2301 0.78808 0.936 0.004 0.060
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 1 0.4345 0.79260 0.848 0.016 0.136
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 1 0.5851 0.76177 0.792 0.068 0.140
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 2 0.0661 0.68247 0.008 0.988 0.004
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 3 0.8113 0.55997 0.068 0.428 0.504
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 3 0.8050 0.55375 0.064 0.436 0.500
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 1 0.6800 0.67962 0.660 0.032 0.308
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 1 0.6373 0.74330 0.704 0.028 0.268
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 1 0.7825 0.59069 0.620 0.080 0.300
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.4784 0.75779 0.796 0.004 0.200
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 3 0.7278 0.51753 0.028 0.456 0.516
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.2774 0.79009 0.920 0.008 0.072
#> 057B580C-13FD-4185-943C-9DD5266B8554 1 0.4748 0.79845 0.832 0.024 0.144
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 1 0.3995 0.80165 0.868 0.016 0.116
#> 287F3696-25CF-4E67-A934-E50856AD4790 1 0.8775 0.32423 0.500 0.116 0.384
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 1 0.5977 0.74816 0.728 0.020 0.252
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 1 0.4390 0.80222 0.840 0.012 0.148
#> B80A74AB-A264-4396-93F8-FD976DBC1456 3 0.8045 0.55595 0.064 0.432 0.504
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 1 0.7159 0.64653 0.660 0.052 0.288
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.3607 0.79351 0.880 0.008 0.112
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.3091 0.78956 0.912 0.016 0.072
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 1 0.4139 0.79026 0.860 0.016 0.124
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 3 0.8984 0.52939 0.136 0.368 0.496
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 1 0.5803 0.77235 0.736 0.016 0.248
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.4784 0.75779 0.796 0.004 0.200
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 1 0.3482 0.79496 0.872 0.000 0.128
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 1 0.6927 0.66800 0.664 0.040 0.296
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.3607 0.79351 0.880 0.008 0.112
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 1 0.6843 0.65378 0.640 0.028 0.332
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 3 0.9736 0.40501 0.240 0.324 0.436
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 1 0.3941 0.79452 0.844 0.000 0.156
#> DD292494-92A2-43CB-B59B-726B2F429B29 1 0.4521 0.79629 0.816 0.004 0.180
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.3886 0.79670 0.880 0.024 0.096
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 1 0.4473 0.79565 0.828 0.008 0.164
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 1 0.5847 0.75508 0.780 0.048 0.172
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 1 0.7447 0.71199 0.652 0.068 0.280
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 1 0.2599 0.78801 0.932 0.016 0.052
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.7752 0.02714 0.496 0.456 0.048
#> 74CF740D-201D-4070-99B9-F007E7C4D472 1 0.8442 0.38854 0.548 0.352 0.100
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 3 0.9776 0.05257 0.284 0.276 0.440
#> 78F28873-E471-497A-9405-FB8955808599 3 0.9402 0.47215 0.184 0.344 0.472
#> 29294D9A-434B-4581-9591-63D16107C7B1 1 0.8089 0.53725 0.600 0.092 0.308
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 1 0.6793 0.68330 0.672 0.036 0.292
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 1 0.4755 0.78875 0.808 0.008 0.184
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.376 0.59313 0.000 0.000 0.784 0.216
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.314 0.52029 0.888 0.080 0.024 0.008
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 1 0.299 0.53705 0.892 0.084 0.016 0.008
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.266 0.53711 0.916 0.048 0.024 0.012
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.360 0.51247 0.836 0.148 0.016 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 2 0.567 0.34330 0.464 0.516 0.016 0.004
#> 966A3A03-3879-4816-A1E9-D805F6018836 1 0.731 0.35733 0.584 0.192 0.012 0.212
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.745 0.44591 0.324 0.540 0.024 0.112
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.530 0.01547 0.612 0.372 0.016 0.000
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 1 0.622 0.38145 0.668 0.244 0.012 0.076
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 2 0.619 0.29348 0.444 0.516 0.020 0.020
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 2 0.846 0.20513 0.304 0.344 0.020 0.332
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.524 0.05762 0.628 0.356 0.016 0.000
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 1 0.299 0.53705 0.892 0.084 0.016 0.008
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.481 0.31614 0.728 0.252 0.016 0.004
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 4 0.208 0.71275 0.008 0.004 0.056 0.932
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 1 0.683 0.10363 0.580 0.336 0.052 0.032
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 2 0.710 0.39449 0.420 0.484 0.080 0.016
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.278 0.53755 0.904 0.072 0.016 0.008
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.338 0.51512 0.876 0.088 0.028 0.008
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 1 0.686 0.12147 0.572 0.344 0.032 0.052
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 1 0.821 0.16638 0.468 0.096 0.072 0.364
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 1 0.615 0.29294 0.660 0.272 0.048 0.020
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 3 0.628 0.14922 0.468 0.056 0.476 0.000
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 1 0.694 0.42113 0.644 0.132 0.024 0.200
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 1 0.531 0.48222 0.756 0.180 0.044 0.020
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.242 0.53366 0.924 0.048 0.020 0.008
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 1 0.516 0.51203 0.752 0.196 0.012 0.040
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.766 0.42273 0.288 0.528 0.016 0.168
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 4 0.549 0.66190 0.100 0.060 0.060 0.780
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 2 0.710 0.39449 0.420 0.484 0.080 0.016
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.810 0.14092 0.372 0.392 0.012 0.224
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.259 0.53095 0.916 0.056 0.020 0.008
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 1 0.763 0.36092 0.588 0.168 0.036 0.208
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 1 0.551 0.51676 0.744 0.180 0.016 0.060
#> BE56F908-42DD-4019-A8AC-48884DA788B1 4 0.964 -0.04507 0.264 0.128 0.276 0.332
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 2 0.789 0.28736 0.100 0.596 0.100 0.204
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 1 0.655 0.32521 0.628 0.292 0.032 0.048
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 1 0.707 0.28228 0.624 0.144 0.212 0.020
#> 791D9EB8-42E0-4192-B064-B1126CA14481 2 0.793 0.45299 0.352 0.500 0.076 0.072
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 1 0.815 0.20794 0.472 0.168 0.032 0.328
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 1 0.821 0.16638 0.468 0.096 0.072 0.364
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.489 0.33898 0.728 0.248 0.020 0.004
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.387 0.55510 0.856 0.096 0.024 0.024
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 3 0.669 0.55311 0.148 0.040 0.688 0.124
#> D47C7B74-BB01-4614-B683-652F7130729C 1 0.790 0.28242 0.520 0.164 0.028 0.288
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 1 0.619 0.36515 0.656 0.272 0.056 0.016
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 1 0.678 0.30191 0.616 0.292 0.052 0.040
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.307 0.48918 0.848 0.152 0.000 0.000
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 1 0.798 0.31485 0.536 0.212 0.032 0.220
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.247 0.53559 0.920 0.056 0.016 0.008
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 1 0.564 0.47873 0.728 0.204 0.044 0.024
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 1 0.808 -0.05773 0.416 0.368 0.016 0.200
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 4 0.543 0.66538 0.096 0.060 0.060 0.784
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 1 0.716 -0.06275 0.492 0.060 0.416 0.032
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 1 0.332 0.54635 0.884 0.076 0.016 0.024
#> 58F11B66-AE40-417E-B465-811C6CF7311C 1 0.584 0.51665 0.716 0.200 0.016 0.068
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.496 0.23448 0.684 0.300 0.016 0.000
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 1 0.697 0.41689 0.644 0.144 0.024 0.188
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 1 0.763 0.36092 0.588 0.168 0.036 0.208
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 2 0.766 0.42273 0.288 0.528 0.016 0.168
#> 739952C6-FF36-4E34-B881-E02FE17C4012 2 0.592 0.37078 0.440 0.528 0.028 0.004
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 1 0.528 -0.06483 0.588 0.400 0.012 0.000
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 1 0.739 0.36638 0.584 0.200 0.016 0.200
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 2 0.621 0.29961 0.480 0.480 0.024 0.016
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 1 0.213 0.53895 0.936 0.040 0.016 0.008
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 1 0.461 0.38684 0.744 0.236 0.020 0.000
#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 1 0.454 0.40046 0.772 0.204 0.016 0.008
#> F6B26185-139B-47A7-91EC-E885D94AC882 1 0.677 -0.34568 0.472 0.460 0.044 0.024
#> 81F30B6F-3E9A-4913-986B-C56D5F107A17 2 0.691 0.48765 0.328 0.580 0.028 0.064
#> 2CCB3AE1-0D27-4493-B7AE-67C60BBC1C38 4 0.353 0.72662 0.044 0.020 0.056 0.880
#> 329665BC-B959-47C5-B831-5546F94EDAC1 2 0.835 -0.05347 0.052 0.516 0.216 0.216
#> 8D4335F6-6ACB-4E38-B9F2-A2B5B647AE90 1 0.327 0.48056 0.832 0.168 0.000 0.000
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#> C6E39F86-9DEF-4BCA-930B-2A3993D18901 2 0.755 0.40940 0.392 0.492 0.060 0.056
#> 5BE4D8E9-DA18-426F-8AE6-075B15010390 1 0.482 0.36496 0.752 0.216 0.028 0.004
#> 8E9CAAC7-31D3-473C-821C-2DAD37B44D3A 1 0.759 0.30673 0.556 0.208 0.016 0.220
#> 368CFCA3-7BAB-4D6D-9AE1-55713A9965C1 3 0.745 0.23077 0.364 0.076 0.520 0.040
#> 14DB79EF-DE2B-4197-AD32-F657E0655FCD 1 0.518 0.51339 0.760 0.172 0.008 0.060
#> E73BCFCB-C5FE-4BF2-A236-B9E69711C121 1 0.510 0.51470 0.780 0.152 0.044 0.024
#> CDAFAFEA-365B-4F25-AEC0-639B6E0CB626 1 0.663 0.43928 0.668 0.224 0.056 0.052
#> 48A2AAEB-7F60-4284-808E-2058A531B17C 1 0.811 0.28954 0.536 0.184 0.044 0.236
#> D4276C6F-9F0F-4F74-A85E-1E54272ADDED 1 0.768 0.29154 0.536 0.188 0.016 0.260
#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 1 0.662 0.42780 0.648 0.236 0.016 0.100
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 1 0.745 0.40166 0.616 0.172 0.040 0.172
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 1 0.875 0.02941 0.392 0.092 0.124 0.392
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 1 0.489 0.33898 0.728 0.248 0.020 0.004
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 1 0.831 -0.15527 0.420 0.196 0.356 0.028
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 2 0.568 0.48749 0.376 0.596 0.024 0.004
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 1 0.317 0.48897 0.840 0.160 0.000 0.000
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 1 0.594 0.42162 0.692 0.236 0.056 0.016
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 2 0.900 0.36259 0.192 0.492 0.172 0.144
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 1 0.735 0.38247 0.600 0.236 0.028 0.136
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 1 0.803 0.07364 0.444 0.320 0.012 0.224
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 1 0.369 0.54635 0.864 0.092 0.016 0.028
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 1 0.787 -0.23611 0.432 0.424 0.040 0.104
#> C7997523-47CF-40F0-8803-AB873E38033C 2 0.899 0.31588 0.176 0.496 0.160 0.168
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 3 0.898 0.15423 0.084 0.172 0.396 0.348
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 4 0.191 0.71778 0.008 0.004 0.048 0.940
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 3 0.628 0.14922 0.468 0.056 0.476 0.000
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 1 0.489 0.33898 0.728 0.248 0.020 0.004
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 2 0.821 0.27462 0.308 0.428 0.016 0.248
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 1 0.461 0.51863 0.792 0.164 0.008 0.036
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 3 0.762 0.46543 0.208 0.072 0.612 0.108
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 2 0.772 0.38908 0.396 0.476 0.076 0.052
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 1 0.454 0.40046 0.772 0.204 0.016 0.008
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.317 0.52012 0.888 0.076 0.028 0.008
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 1 0.482 0.51370 0.816 0.048 0.044 0.092
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 1 0.704 -0.12358 0.536 0.364 0.084 0.016
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 1 0.873 0.07085 0.408 0.088 0.128 0.376
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 3 0.827 0.20162 0.064 0.108 0.424 0.404
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 1 0.779 0.30972 0.544 0.164 0.028 0.264
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 1 0.739 0.34099 0.572 0.192 0.012 0.224
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.468 0.35664 0.744 0.236 0.016 0.004
#> E15EAAB4-0860-4716-9922-667F604CDF12 1 0.343 0.54426 0.872 0.096 0.020 0.012
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 2 0.869 0.06628 0.092 0.500 0.160 0.248
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 1 0.284 0.54941 0.908 0.056 0.020 0.016
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 1 0.851 0.27487 0.548 0.148 0.124 0.180
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.313 0.53023 0.892 0.068 0.032 0.008
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 1 0.762 0.25219 0.524 0.248 0.008 0.220
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 1 0.748 0.30192 0.560 0.220 0.012 0.208
#> E2A4C651-977F-4F40-B5EC-46DF75944141 2 0.586 0.34160 0.468 0.504 0.024 0.004
#> 433599CC-9DF5-4494-A607-8079FFE74D95 1 0.697 0.41689 0.644 0.144 0.024 0.188
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 1 0.793 0.09042 0.532 0.308 0.064 0.096
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 4 0.308 0.73229 0.040 0.016 0.044 0.900
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.223 0.53351 0.932 0.044 0.012 0.012
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 1 0.472 0.54442 0.808 0.120 0.016 0.056
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 1 0.695 -0.12913 0.536 0.368 0.084 0.012
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.380 0.59313 0.000 0.000 0.780 0.220
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 4 0.308 0.73229 0.040 0.016 0.044 0.900
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 4 0.318 0.72950 0.032 0.020 0.052 0.896
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 1 0.775 0.18226 0.492 0.288 0.008 0.212
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 1 0.799 0.20541 0.516 0.304 0.040 0.140
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 1 0.787 0.30089 0.528 0.188 0.024 0.260
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 2 0.568 0.33217 0.476 0.504 0.016 0.004
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 4 0.208 0.71275 0.008 0.004 0.056 0.932
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.276 0.53744 0.908 0.064 0.016 0.012
#> 057B580C-13FD-4185-943C-9DD5266B8554 1 0.492 0.53076 0.792 0.144 0.024 0.040
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 1 0.473 0.46699 0.780 0.180 0.028 0.012
#> 287F3696-25CF-4E67-A934-E50856AD4790 4 0.857 -0.19180 0.332 0.244 0.032 0.392
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 1 0.753 0.28065 0.564 0.268 0.024 0.144
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 1 0.540 0.46874 0.724 0.228 0.020 0.028
#> B80A74AB-A264-4396-93F8-FD976DBC1456 4 0.308 0.73043 0.036 0.016 0.048 0.900
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 1 0.739 0.34099 0.572 0.192 0.012 0.224
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.476 0.43073 0.756 0.216 0.020 0.008
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.271 0.54924 0.916 0.040 0.028 0.016
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 1 0.496 0.53427 0.792 0.132 0.016 0.060
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 4 0.489 0.69067 0.072 0.056 0.056 0.816
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.696 0.20323 0.460 0.460 0.024 0.056
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 2 0.568 0.33217 0.476 0.504 0.016 0.004
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 1 0.427 0.53261 0.820 0.136 0.008 0.036
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 1 0.762 0.25219 0.524 0.248 0.008 0.220
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.476 0.43073 0.756 0.216 0.020 0.008
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.777 0.39368 0.392 0.476 0.076 0.056
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 4 0.632 0.58580 0.148 0.076 0.056 0.720
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 1 0.488 0.52265 0.776 0.164 0.004 0.056
#> DD292494-92A2-43CB-B59B-726B2F429B29 1 0.574 0.43542 0.720 0.212 0.032 0.036
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.456 0.47946 0.800 0.152 0.040 0.008
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 1 0.567 0.49099 0.736 0.188 0.028 0.048
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 1 0.633 0.47803 0.700 0.172 0.024 0.104
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 2 0.777 0.49146 0.268 0.572 0.080 0.080
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 1 0.209 0.53863 0.940 0.028 0.020 0.012
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 3 0.628 0.14922 0.468 0.056 0.476 0.000
#> 74CF740D-201D-4070-99B9-F007E7C4D472 1 0.843 -0.17436 0.400 0.204 0.364 0.032
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 2 0.820 -0.12095 0.032 0.500 0.228 0.240
#> 78F28873-E471-497A-9405-FB8955808599 4 0.617 0.63260 0.124 0.080 0.060 0.736
#> 29294D9A-434B-4581-9591-63D16107C7B1 1 0.790 0.28154 0.524 0.168 0.028 0.280
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 1 0.779 0.27291 0.536 0.232 0.020 0.212
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 1 0.680 0.13451 0.572 0.348 0.032 0.048
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.3086 5.99e-01 0.004 0.000 0.816 0.000 0.180
#> 5A147DAD-7390-4C90-9921-45CB05066827 4 0.2745 5.36e-01 0.052 0.028 0.024 0.896 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 4 0.3187 5.48e-01 0.036 0.096 0.008 0.860 0.000
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 4 0.1815 5.51e-01 0.024 0.016 0.020 0.940 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 4 0.3651 5.42e-01 0.060 0.108 0.004 0.828 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 2 0.5747 2.64e-01 0.076 0.564 0.008 0.352 0.000
#> 966A3A03-3879-4816-A1E9-D805F6018836 4 0.7310 1.54e-01 0.040 0.336 0.008 0.464 0.152
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.5723 3.07e-01 0.080 0.720 0.008 0.120 0.072
#> 18971368-40F0-42D3-B1A3-707850C53B18 4 0.5444 1.30e-01 0.052 0.360 0.008 0.580 0.000
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 4 0.6533 3.32e-01 0.032 0.328 0.024 0.560 0.056
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 2 0.6469 2.77e-01 0.084 0.592 0.040 0.276 0.008
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 2 0.7123 2.77e-01 0.008 0.524 0.036 0.164 0.268
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 4 0.5520 1.63e-01 0.052 0.352 0.012 0.584 0.000
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 4 0.3187 5.48e-01 0.036 0.096 0.008 0.860 0.000
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 4 0.5272 3.51e-01 0.064 0.228 0.020 0.688 0.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 5 0.0771 7.27e-01 0.004 0.000 0.020 0.000 0.976
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 4 0.6966 -1.56e-01 0.320 0.184 0.008 0.476 0.012
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 1 0.6475 5.92e-01 0.484 0.212 0.000 0.304 0.000
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 4 0.2429 5.49e-01 0.020 0.076 0.004 0.900 0.000
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 4 0.2751 5.33e-01 0.044 0.040 0.020 0.896 0.000
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 4 0.7372 -2.24e-02 0.052 0.416 0.064 0.428 0.040
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 4 0.8596 3.97e-03 0.044 0.204 0.076 0.388 0.288
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 4 0.6794 3.41e-01 0.076 0.272 0.056 0.580 0.016
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 3 0.5952 2.83e-01 0.048 0.028 0.488 0.436 0.000
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 4 0.7681 3.41e-01 0.052 0.204 0.048 0.548 0.148
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 4 0.5878 4.57e-01 0.056 0.200 0.064 0.676 0.004
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 4 0.1356 5.47e-01 0.028 0.004 0.012 0.956 0.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 4 0.6353 4.92e-01 0.096 0.176 0.028 0.664 0.036
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.4964 3.27e-01 0.016 0.760 0.012 0.084 0.128
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 5 0.5666 6.73e-01 0.020 0.140 0.076 0.040 0.724
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 1 0.6475 5.92e-01 0.484 0.212 0.000 0.304 0.000
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.6162 3.23e-01 0.012 0.620 0.004 0.184 0.180
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 4 0.2053 5.47e-01 0.028 0.012 0.024 0.932 0.004
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 4 0.7561 1.89e-01 0.032 0.300 0.028 0.480 0.160
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 4 0.5957 5.17e-01 0.124 0.140 0.008 0.688 0.040
#> BE56F908-42DD-4019-A8AC-48884DA788B1 5 0.9318 -2.29e-04 0.232 0.044 0.200 0.252 0.272
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 2 0.7456 -1.40e-01 0.340 0.440 0.028 0.016 0.176
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 4 0.6532 3.04e-01 0.028 0.352 0.056 0.540 0.024
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 4 0.6896 3.45e-01 0.056 0.140 0.204 0.592 0.008
#> 791D9EB8-42E0-4192-B064-B1126CA14481 1 0.6838 6.62e-01 0.512 0.240 0.000 0.228 0.020
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 4 0.8078 -1.42e-02 0.052 0.292 0.016 0.372 0.268
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 4 0.8596 3.97e-03 0.044 0.204 0.076 0.388 0.288
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 4 0.5125 3.77e-01 0.068 0.200 0.020 0.712 0.000
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 4 0.4394 5.60e-01 0.040 0.116 0.028 0.804 0.012
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 3 0.5918 5.82e-01 0.032 0.020 0.700 0.144 0.104
#> D47C7B74-BB01-4614-B683-652F7130729C 4 0.7871 7.84e-02 0.052 0.288 0.012 0.420 0.228
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 4 0.6645 2.81e-01 0.060 0.296 0.088 0.556 0.000
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 4 0.7727 1.06e-01 0.212 0.228 0.056 0.488 0.016
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 4 0.4093 5.24e-01 0.068 0.124 0.008 0.800 0.000
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 4 0.8079 1.47e-01 0.128 0.284 0.008 0.436 0.144
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 4 0.1836 5.48e-01 0.040 0.008 0.016 0.936 0.000
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 4 0.6390 4.28e-01 0.064 0.232 0.068 0.628 0.008
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 2 0.7112 2.85e-01 0.048 0.552 0.008 0.232 0.160
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 5 0.5593 6.76e-01 0.020 0.140 0.076 0.036 0.728
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 4 0.6632 -1.88e-01 0.032 0.056 0.412 0.480 0.020
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 4 0.3151 5.60e-01 0.036 0.060 0.012 0.880 0.012
#> 58F11B66-AE40-417E-B465-811C6CF7311C 4 0.6529 4.38e-01 0.056 0.264 0.024 0.608 0.048
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 4 0.5275 3.04e-01 0.060 0.268 0.012 0.660 0.000
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 4 0.7270 2.56e-01 0.024 0.272 0.032 0.528 0.144
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#> D0CCA6E0-8557-491C-AB82-289DF53E57FA 4 0.5640 5.41e-01 0.084 0.112 0.040 0.736 0.028
#> 933DB910-2728-4DC4-840E-B0CD1F13A421 5 0.8287 -6.48e-02 0.300 0.028 0.304 0.048 0.320
#> 93910528-D681-4C69-86FD-326293B2F1C1 4 0.8838 1.95e-01 0.132 0.204 0.076 0.448 0.140
#> 3C9FDA2A-01C8-4F17-BBF1-5CAEAE3764D4 4 0.4234 5.14e-01 0.028 0.160 0.020 0.788 0.004
#> 8879C57E-8876-462F-810E-EE07C2F541AD 5 0.1216 7.25e-01 0.020 0.000 0.020 0.000 0.960
#> 130C8FBD-8D78-4212-8DD6-301EDFA339A9 4 0.7460 3.91e-01 0.096 0.168 0.088 0.596 0.052
#> 6C1FF3E9-0A8B-4B02-B0E9-EEF333E53592 2 0.7050 1.87e-01 0.116 0.572 0.004 0.224 0.084
#> 726497B7-C557-4D5C-A926-6DDA6136C899 2 0.4652 3.39e-01 0.008 0.784 0.020 0.076 0.112
#> 2299CD19-BF08-404C-B1BF-B570F12CCEF8 4 0.7599 2.31e-01 0.032 0.296 0.044 0.496 0.132
#> E8BCBDC5-E34E-422F-86C2-A4B30400EC86 3 0.8648 2.38e-01 0.056 0.184 0.384 0.304 0.072
#> B9EF0525-8B4A-4306-B06B-35AC457F5F48 1 0.7094 6.49e-01 0.464 0.236 0.004 0.280 0.016
#> F663E106-4E34-46C8-9CD9-AE5E9B8B27F0 2 0.7456 -1.40e-01 0.340 0.440 0.028 0.016 0.176
#> 94E26CD5-238B-4D8C-B8E8-A62C44EB2B41 4 0.7272 -4.66e-02 0.048 0.424 0.060 0.428 0.040
#> 135743C3-829E-46DC-BBA9-FF07C8067612 4 0.1913 5.44e-01 0.024 0.020 0.020 0.936 0.000
#> CBD7775A-2802-4EB7-9F62-6B80D7667AED 4 0.2627 5.55e-01 0.044 0.044 0.012 0.900 0.000
#> BD6DAD3D-2D5F-4560-9A4C-70D8A1D49732 4 0.2634 5.37e-01 0.056 0.020 0.024 0.900 0.000
#> ED86F92E-6B39-4C0C-9A60-870984F53C4D 4 0.2400 5.38e-01 0.048 0.020 0.020 0.912 0.000
#> CD3B289F-FAE1-405F-875F-23C1D2609DFC 4 0.4780 5.46e-01 0.040 0.168 0.016 0.760 0.016
#> D1C0E70B-B2BB-4FE7-8DEC-B50659739BAA 2 0.5293 3.36e-01 0.008 0.704 0.004 0.104 0.180
#> D2417A9C-CBF0-47F6-B20C-FB32AF632A84 2 0.6655 6.44e-02 0.184 0.504 0.012 0.300 0.000
#> EF5618C6-6AFB-4FB5-A32B-7946F18E9736 4 0.6215 4.56e-01 0.080 0.148 0.072 0.684 0.016
#> 36040CAB-FF77-4540-BB44-7961A6A54B29 2 0.7596 2.11e-01 0.012 0.392 0.024 0.256 0.316
#> 3808C3A9-22DA-4DC5-9F51-884A7EF574E6 4 0.5601 5.41e-01 0.104 0.100 0.032 0.736 0.028
#> 24363857-9A33-40D4-8409-C17225570833 4 0.6257 5.04e-01 0.080 0.172 0.028 0.676 0.044
#> A57E6132-9B76-493A-A167-8462263B7CDB 4 0.6541 2.69e-02 0.288 0.188 0.000 0.516 0.008
#> 4C020890-E652-4DE4-B66D-5F6F71405F64 4 0.6461 4.14e-01 0.032 0.252 0.032 0.620 0.064
#> 90C991CD-412E-4318-96E3-EB84B868FE9F 2 0.7853 1.11e-01 0.028 0.352 0.020 0.336 0.264
#> FA8E73EA-649C-43ED-854E-B9472820D1C6 4 0.7951 2.81e-01 0.132 0.228 0.072 0.520 0.048
#> 4D46B5DE-186A-4D35-8E1B-64701C13BC69 5 0.3828 7.26e-01 0.008 0.064 0.060 0.024 0.844
#> D516A82D-2F77-46B2-90F7-30BA5C78AAC8 2 0.7611 1.78e-01 0.064 0.452 0.008 0.324 0.152
#> 1FBD0805-13AE-4A82-8B94-640E1C921262 3 0.5558 5.87e-01 0.036 0.080 0.740 0.028 0.116
#> 264525A9-F7DB-4012-A93B-CF8A7626F125 5 0.5437 6.81e-01 0.020 0.140 0.076 0.028 0.736
#> AFF029D8-FFC9-4AA9-8049-F1E27C743F6F 4 0.7592 3.44e-01 0.048 0.204 0.044 0.552 0.152
#> 5B65768D-0E81-4469-9D69-69B07ED5ACD5 2 0.4880 3.39e-01 0.028 0.788 0.028 0.072 0.084
#> 2CB06CA6-8D1F-4BC7-99BE-66921805B8FD 2 0.6867 3.04e-01 0.028 0.560 0.008 0.232 0.172
#> 956357FB-9AB3-497C-BB55-9D15B486A422 2 0.6518 2.70e-01 0.092 0.612 0.076 0.220 0.000
#> C8F2BAD0-7124-46BF-975C-4B44BE980F93 4 0.5094 4.00e-01 0.084 0.192 0.012 0.712 0.000
#> E96AE267-3E23-4EA9-93E2-D92558155A17 3 0.3834 6.17e-01 0.008 0.024 0.828 0.020 0.120
#> 1C8DCA5B-965B-485A-83B6-5CBEB2117E47 4 0.5982 4.85e-01 0.108 0.188 0.008 0.668 0.028
#> DEAB79F5-336A-49B4-8046-AEE2F567FE46 4 0.5615 4.20e-01 0.080 0.120 0.084 0.716 0.000
#> 767FE89E-E19F-4F56-A744-CB3C5CCC085B 4 0.5099 5.06e-01 0.052 0.204 0.012 0.720 0.012
#> 7B0BF632-79E5-46B5-AAC8-4A6D5A193449 5 0.0771 7.27e-01 0.004 0.000 0.020 0.000 0.976
#> 9A281EDE-FF96-4E66-AEF4-692BDFA8E99D 1 0.7360 5.93e-01 0.436 0.272 0.000 0.256 0.036
#> B8C2D019-00C9-4E1E-8383-4FE2FFB4D2D7 3 0.3435 6.14e-01 0.004 0.012 0.828 0.008 0.148
#> 39A9B95F-186B-4550-9271-001151B1A626 4 0.7548 1.02e-01 0.044 0.316 0.008 0.444 0.188
#> CAD6E491-88FB-4221-90E9-AC9C68AECCB0 4 0.6228 4.40e-01 0.060 0.208 0.072 0.652 0.008
#> 15EFBC5B-C713-4718-BB6F-0EBBE4D6997F 4 0.5413 5.01e-01 0.068 0.188 0.016 0.712 0.016
#> BBA00038-09B1-461D-9F8E-484890B0D130 4 0.5300 5.32e-01 0.080 0.048 0.036 0.768 0.068
#> 16EBB885-A692-42A6-9027-F6AD769E0ABB 4 0.4339 5.30e-01 0.040 0.124 0.032 0.800 0.004
#> 2D57E24B-97A6-4B85-BC8F-3E02DDC6C460 2 0.7596 2.11e-01 0.012 0.392 0.024 0.256 0.316
#> C6E39F86-9DEF-4BCA-930B-2A3993D18901 1 0.7426 6.05e-01 0.440 0.268 0.004 0.256 0.032
#> 5BE4D8E9-DA18-426F-8AE6-075B15010390 4 0.5031 3.94e-01 0.036 0.248 0.024 0.692 0.000
#> 8E9CAAC7-31D3-473C-821C-2DAD37B44D3A 4 0.7700 3.39e-02 0.060 0.348 0.008 0.416 0.168
#> 368CFCA3-7BAB-4D6D-9AE1-55713A9965C1 3 0.7057 3.57e-01 0.036 0.084 0.516 0.336 0.028
#> 14DB79EF-DE2B-4197-AD32-F657E0655FCD 4 0.5982 4.77e-01 0.108 0.188 0.008 0.668 0.028
#> E73BCFCB-C5FE-4BF2-A236-B9E69711C121 4 0.6109 4.71e-01 0.072 0.192 0.060 0.668 0.008
#> CDAFAFEA-365B-4F25-AEC0-639B6E0CB626 4 0.7157 3.40e-01 0.064 0.280 0.080 0.552 0.024
#> 48A2AAEB-7F60-4284-808E-2058A531B17C 4 0.8184 9.08e-02 0.088 0.280 0.016 0.424 0.192
#> D4276C6F-9F0F-4F74-A85E-1E54272ADDED 4 0.7535 6.12e-02 0.036 0.320 0.008 0.428 0.208
#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 4 0.7108 3.14e-01 0.152 0.256 0.008 0.540 0.044
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 4 0.7651 2.47e-01 0.048 0.296 0.040 0.500 0.116
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 4 0.9025 -5.78e-02 0.052 0.172 0.132 0.340 0.304
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 4 0.5125 3.77e-01 0.068 0.200 0.020 0.712 0.000
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 4 0.8131 -1.81e-01 0.076 0.184 0.348 0.376 0.016
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 2 0.6061 2.54e-01 0.116 0.656 0.032 0.192 0.004
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 4 0.4166 5.24e-01 0.076 0.120 0.008 0.796 0.000
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 4 0.6476 4.03e-01 0.080 0.212 0.068 0.632 0.008
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 1 0.6539 4.52e-01 0.652 0.176 0.044 0.100 0.028
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 4 0.8164 1.87e-01 0.100 0.280 0.044 0.472 0.104
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 2 0.7111 2.80e-01 0.032 0.520 0.008 0.268 0.172
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 4 0.4582 5.48e-01 0.040 0.140 0.024 0.784 0.012
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 2 0.8226 -2.53e-01 0.272 0.360 0.008 0.276 0.084
#> C7997523-47CF-40F0-8803-AB873E38033C 1 0.6196 4.57e-01 0.692 0.148 0.032 0.076 0.052
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 3 0.9169 -4.93e-03 0.284 0.096 0.284 0.068 0.268
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 5 0.1547 7.31e-01 0.004 0.016 0.032 0.000 0.948
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 3 0.5952 2.83e-01 0.048 0.028 0.488 0.436 0.000
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 4 0.5125 3.77e-01 0.068 0.200 0.020 0.712 0.000
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 2 0.6072 3.23e-01 0.012 0.656 0.020 0.116 0.196
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 4 0.5459 4.87e-01 0.108 0.180 0.008 0.696 0.008
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 3 0.7052 5.29e-01 0.028 0.088 0.616 0.180 0.088
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 1 0.7030 6.54e-01 0.464 0.248 0.004 0.272 0.012
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 4 0.4814 4.28e-01 0.036 0.220 0.016 0.724 0.004
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 4 0.2507 5.38e-01 0.044 0.028 0.020 0.908 0.000
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 4 0.5083 5.35e-01 0.080 0.036 0.036 0.780 0.068
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 4 0.6806 6.33e-03 0.056 0.376 0.088 0.480 0.000
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 4 0.9036 -3.63e-02 0.056 0.172 0.128 0.352 0.292
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 5 0.8287 -6.48e-02 0.300 0.028 0.304 0.048 0.320
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 4 0.7809 1.07e-01 0.048 0.292 0.016 0.440 0.204
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 4 0.7687 1.15e-01 0.048 0.324 0.016 0.444 0.168
#> 1DEA6525-5598-4985-9218-D61912C75437 4 0.5138 3.93e-01 0.072 0.184 0.024 0.720 0.000
#> E15EAAB4-0860-4716-9922-667F604CDF12 4 0.3668 5.55e-01 0.028 0.100 0.020 0.844 0.008
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 1 0.6473 2.92e-01 0.672 0.128 0.044 0.036 0.120
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 4 0.3356 5.58e-01 0.028 0.080 0.024 0.864 0.004
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 4 0.8288 2.69e-01 0.044 0.196 0.128 0.500 0.132
#> F37E118C-1066-4A84-B190-B9B78E265D94 4 0.2917 5.46e-01 0.040 0.048 0.024 0.888 0.000
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 2 0.7425 9.62e-02 0.044 0.416 0.004 0.364 0.172
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 4 0.7742 -1.57e-02 0.068 0.372 0.008 0.396 0.156
#> E2A4C651-977F-4F40-B5EC-46DF75944141 2 0.5928 2.60e-01 0.076 0.560 0.016 0.348 0.000
#> 433599CC-9DF5-4494-A607-8079FFE74D95 4 0.7270 2.56e-01 0.024 0.272 0.032 0.528 0.144
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 4 0.8096 -1.91e-01 0.272 0.204 0.016 0.432 0.076
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 5 0.2878 7.37e-01 0.000 0.048 0.048 0.016 0.888
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 4 0.1679 5.48e-01 0.020 0.016 0.012 0.948 0.004
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 4 0.5334 5.27e-01 0.032 0.188 0.028 0.724 0.028
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 4 0.6816 3.12e-05 0.060 0.376 0.084 0.480 0.000
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.2966 5.99e-01 0.000 0.000 0.816 0.000 0.184
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 5 0.2878 7.37e-01 0.000 0.048 0.048 0.016 0.888
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 5 0.2846 7.36e-01 0.000 0.048 0.052 0.012 0.888
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.7211 1.79e-01 0.036 0.464 0.004 0.332 0.164
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 4 0.7421 3.35e-02 0.040 0.408 0.028 0.420 0.104
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 4 0.7935 1.05e-01 0.068 0.300 0.012 0.428 0.192
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 2 0.5797 2.58e-01 0.072 0.564 0.012 0.352 0.000
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 5 0.0865 7.27e-01 0.004 0.000 0.024 0.000 0.972
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 4 0.2309 5.53e-01 0.028 0.036 0.012 0.920 0.004
#> 057B580C-13FD-4185-943C-9DD5266B8554 4 0.5828 5.38e-01 0.108 0.096 0.040 0.724 0.032
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 4 0.4910 4.76e-01 0.168 0.072 0.020 0.740 0.000
#> 287F3696-25CF-4E67-A934-E50856AD4790 2 0.7212 1.96e-01 0.008 0.448 0.024 0.176 0.344
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.7630 2.02e-02 0.128 0.396 0.000 0.376 0.100
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 4 0.6052 4.33e-01 0.152 0.196 0.020 0.632 0.000
#> B80A74AB-A264-4396-93F8-FD976DBC1456 5 0.2804 7.36e-01 0.000 0.044 0.048 0.016 0.892
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 4 0.7687 1.15e-01 0.048 0.324 0.016 0.444 0.168
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 4 0.4996 4.69e-01 0.064 0.184 0.016 0.732 0.004
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 4 0.2522 5.58e-01 0.028 0.032 0.024 0.912 0.004
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 4 0.5169 4.96e-01 0.044 0.220 0.008 0.708 0.020
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 5 0.4782 6.96e-01 0.012 0.136 0.072 0.012 0.768
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.7011 6.15e-02 0.164 0.468 0.000 0.336 0.032
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 2 0.5797 2.58e-01 0.072 0.564 0.012 0.352 0.000
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 4 0.5028 5.08e-01 0.100 0.156 0.008 0.732 0.004
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.7425 9.62e-02 0.044 0.416 0.004 0.364 0.172
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 4 0.4996 4.69e-01 0.064 0.184 0.016 0.732 0.004
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 1 0.7101 6.55e-01 0.464 0.244 0.004 0.272 0.016
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 5 0.5504 6.15e-01 0.000 0.168 0.048 0.076 0.708
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 4 0.5634 4.93e-01 0.096 0.196 0.000 0.680 0.028
#> DD292494-92A2-43CB-B59B-726B2F429B29 4 0.5762 3.61e-01 0.212 0.152 0.000 0.632 0.004
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 4 0.4799 5.01e-01 0.040 0.160 0.036 0.760 0.004
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 4 0.6421 4.44e-01 0.108 0.220 0.020 0.628 0.024
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 4 0.6714 3.69e-01 0.040 0.272 0.024 0.588 0.076
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 2 0.6254 3.10e-01 0.044 0.696 0.096 0.120 0.044
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 4 0.2429 5.51e-01 0.032 0.028 0.020 0.916 0.004
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 3 0.5952 2.83e-01 0.048 0.028 0.488 0.436 0.000
#> 74CF740D-201D-4070-99B9-F007E7C4D472 3 0.8062 1.50e-01 0.072 0.196 0.364 0.356 0.012
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 1 0.5079 1.61e-01 0.756 0.068 0.068 0.000 0.108
#> 78F28873-E471-497A-9405-FB8955808599 5 0.6314 6.46e-01 0.040 0.132 0.072 0.064 0.692
#> 29294D9A-434B-4581-9591-63D16107C7B1 4 0.7820 7.25e-02 0.048 0.296 0.012 0.420 0.224
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.7812 7.37e-02 0.088 0.392 0.004 0.364 0.152
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 4 0.7314 -2.21e-02 0.056 0.412 0.060 0.436 0.036
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.219 0.61170 0.004 0.000 0.876 0.000 0.120 0.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 4 0.365 0.57765 0.020 0.052 0.004 0.840 0.020 0.064
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 4 0.343 0.60917 0.020 0.064 0.000 0.832 0.000 0.084
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 4 0.248 0.61284 0.000 0.064 0.000 0.892 0.016 0.028
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 4 0.404 0.60482 0.040 0.048 0.000 0.796 0.004 0.112
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 6 0.410 0.56239 0.016 0.012 0.000 0.284 0.000 0.688
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.565 0.53585 0.008 0.520 0.016 0.400 0.028 0.028
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.640 -0.13843 0.056 0.452 0.008 0.060 0.012 0.412
#> 18971368-40F0-42D3-B1A3-707850C53B18 4 0.471 0.05528 0.016 0.024 0.000 0.568 0.000 0.392
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 4 0.636 0.35542 0.012 0.204 0.012 0.536 0.008 0.228
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 6 0.660 0.50003 0.032 0.136 0.028 0.216 0.012 0.576
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 2 0.748 0.40317 0.012 0.520 0.036 0.116 0.128 0.188
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 4 0.474 0.10542 0.008 0.024 0.008 0.584 0.000 0.376
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 4 0.343 0.60917 0.020 0.064 0.000 0.832 0.000 0.084
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 4 0.510 0.34629 0.032 0.036 0.000 0.652 0.012 0.268
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 5 0.254 0.76111 0.000 0.124 0.016 0.000 0.860 0.000
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 4 0.689 -0.20802 0.332 0.152 0.008 0.440 0.000 0.068
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 1 0.648 0.61840 0.520 0.124 0.000 0.272 0.000 0.084
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 4 0.291 0.61510 0.012 0.048 0.000 0.864 0.000 0.076
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 4 0.333 0.57981 0.016 0.048 0.000 0.852 0.016 0.068
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 6 0.677 0.19865 0.040 0.188 0.000 0.348 0.008 0.416
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 2 0.763 0.52265 0.028 0.400 0.096 0.332 0.136 0.008
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 4 0.696 0.34792 0.076 0.124 0.036 0.556 0.004 0.204
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 3 0.648 0.33604 0.024 0.060 0.456 0.412 0.024 0.024
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 4 0.726 -0.00894 0.028 0.292 0.032 0.500 0.068 0.080
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 4 0.550 0.49235 0.012 0.128 0.008 0.624 0.000 0.228
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 4 0.221 0.60694 0.004 0.048 0.000 0.912 0.016 0.020
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 4 0.622 0.45759 0.064 0.172 0.008 0.600 0.000 0.156
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.613 -0.01585 0.020 0.512 0.012 0.036 0.044 0.376
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 5 0.584 0.65847 0.008 0.304 0.096 0.020 0.568 0.004
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 1 0.648 0.61840 0.520 0.124 0.000 0.272 0.000 0.084
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.632 0.44188 0.012 0.588 0.008 0.132 0.040 0.220
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 4 0.280 0.60214 0.012 0.052 0.000 0.884 0.016 0.036
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 4 0.685 -0.41107 0.004 0.404 0.052 0.428 0.052 0.060
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 4 0.594 0.50375 0.088 0.160 0.004 0.644 0.004 0.100
#> BE56F908-42DD-4019-A8AC-48884DA788B1 5 0.929 0.02450 0.156 0.180 0.064 0.204 0.316 0.080
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 6 0.742 0.06626 0.352 0.092 0.016 0.004 0.152 0.384
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 4 0.699 0.29838 0.012 0.160 0.052 0.516 0.016 0.244
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 4 0.661 0.37379 0.036 0.096 0.212 0.588 0.004 0.064
#> 791D9EB8-42E0-4192-B064-B1126CA14481 1 0.656 0.70015 0.564 0.164 0.000 0.180 0.008 0.084
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 2 0.604 0.62150 0.016 0.532 0.008 0.320 0.120 0.004
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 2 0.763 0.52265 0.028 0.400 0.096 0.332 0.136 0.008
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 4 0.484 0.38543 0.028 0.036 0.000 0.680 0.008 0.248
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 4 0.441 0.58886 0.016 0.136 0.012 0.772 0.008 0.056
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 3 0.491 0.61474 0.020 0.020 0.732 0.156 0.068 0.004
#> D47C7B74-BB01-4614-B683-652F7130729C 2 0.580 0.60261 0.016 0.528 0.008 0.360 0.084 0.004
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 4 0.583 0.25231 0.016 0.124 0.000 0.480 0.000 0.380
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 4 0.768 0.05304 0.204 0.164 0.012 0.440 0.008 0.172
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 4 0.429 0.58402 0.052 0.048 0.000 0.784 0.008 0.108
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.653 0.52372 0.108 0.456 0.004 0.380 0.040 0.012
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 4 0.256 0.60809 0.008 0.048 0.000 0.896 0.016 0.032
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 4 0.615 0.38783 0.020 0.176 0.008 0.568 0.004 0.224
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 2 0.670 0.47063 0.048 0.568 0.004 0.168 0.028 0.184
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 5 0.577 0.66370 0.008 0.304 0.096 0.016 0.572 0.004
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 4 0.614 -0.20866 0.016 0.076 0.416 0.464 0.008 0.020
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 4 0.353 0.61187 0.008 0.096 0.004 0.828 0.004 0.060
#> 58F11B66-AE40-417E-B465-811C6CF7311C 4 0.614 0.27043 0.020 0.284 0.016 0.572 0.012 0.096
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 4 0.451 0.31312 0.024 0.020 0.000 0.652 0.000 0.304
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 4 0.651 -0.31420 0.016 0.388 0.024 0.476 0.040 0.056
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 4 0.685 -0.41107 0.004 0.404 0.052 0.428 0.052 0.060
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 2 0.613 -0.01585 0.020 0.512 0.012 0.036 0.044 0.376
#> 739952C6-FF36-4E34-B881-E02FE17C4012 6 0.401 0.56729 0.016 0.012 0.004 0.244 0.000 0.724
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 4 0.542 -0.08531 0.024 0.052 0.000 0.520 0.004 0.400
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 2 0.588 0.50231 0.012 0.500 0.020 0.408 0.028 0.032
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 6 0.568 0.47827 0.024 0.052 0.016 0.332 0.004 0.572
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 4 0.227 0.59931 0.008 0.040 0.016 0.912 0.000 0.024
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 4 0.438 0.48164 0.016 0.048 0.000 0.716 0.000 0.220
#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 4 0.423 0.46376 0.012 0.016 0.012 0.732 0.004 0.224
#> F6B26185-139B-47A7-91EC-E885D94AC882 6 0.655 0.53696 0.028 0.092 0.048 0.280 0.004 0.548
#> 81F30B6F-3E9A-4913-986B-C56D5F107A17 6 0.610 0.47790 0.028 0.244 0.016 0.088 0.016 0.608
#> 2CCB3AE1-0D27-4493-B7AE-67C60BBC1C38 5 0.436 0.75672 0.000 0.216 0.052 0.008 0.720 0.004
#> 329665BC-B959-47C5-B831-5546F94EDAC1 1 0.288 0.30316 0.880 0.016 0.016 0.000 0.056 0.032
#> 8D4335F6-6ACB-4E38-B9F2-A2B5B647AE90 4 0.435 0.58215 0.068 0.044 0.000 0.776 0.004 0.108
#> D181D0D8-FD8C-4259-9B34-97224CF27E1B 1 0.720 0.69882 0.484 0.184 0.004 0.216 0.008 0.104
#> C0C10950-ABC5-4125-A33E-5AFA2D2574B0 2 0.667 0.46873 0.012 0.584 0.020 0.136 0.056 0.192
#> 834D12DB-0925-422C-B15B-20A60A5F658C 1 0.720 0.69251 0.476 0.192 0.004 0.208 0.004 0.116
#> 50314689-519F-4B27-884C-7816DD64CF4E 4 0.221 0.61190 0.004 0.052 0.000 0.908 0.004 0.032
#> 2502A23E-E168-4A78-9C14-B93FBC9715B1 4 0.617 0.42005 0.040 0.060 0.064 0.672 0.024 0.140
#> 3F8D01A3-5449-48A1-BDBA-BFE4D908AE31 4 0.774 0.17651 0.052 0.216 0.036 0.512 0.096 0.088
#> 1C47A87B-C033-4705-B903-DB33B8C6EC34 4 0.598 0.34951 0.012 0.136 0.004 0.524 0.004 0.320
#> 1329E1C1-743E-4541-9081-165572D4BF47 4 0.690 0.20617 0.136 0.228 0.024 0.540 0.004 0.068
#> 1F3F8680-EEB6-4532-B81D-51957D1EA502 4 0.466 0.45138 0.040 0.032 0.000 0.692 0.000 0.236
#> 50F69785-8B7A-4933-85B1-8DC539ACC72A 4 0.536 -0.08778 0.020 0.052 0.000 0.520 0.004 0.404
#> 9095FDD8-EEB2-4B17-85AB-3CDAC0BEC759 4 0.603 0.48064 0.020 0.160 0.064 0.672 0.048 0.036
#> B6BF8C22-03E4-44F0-B2EF-2A3DD6ADE7D7 4 0.508 0.42736 0.052 0.040 0.000 0.652 0.000 0.256
#> D6A907FC-3A1B-4E3B-A440-1CE9BE9B334B 2 0.632 0.52493 0.096 0.468 0.004 0.388 0.032 0.012
#> 02588D5D-89CB-4D0B-9E96-A0270C3FF866 2 0.622 0.55230 0.032 0.584 0.000 0.220 0.020 0.144
#> D50BBFC7-7774-4B12-938C-8D5373C12DFC 5 0.875 0.14644 0.176 0.276 0.056 0.116 0.336 0.040
#> 6E930060-502B-49F5-A385-9B91DEBD05E4 4 0.291 0.61510 0.012 0.048 0.000 0.864 0.000 0.076
#> F6606A8E-ACC6-4826-9547-E0017521724D 4 0.612 0.51194 0.108 0.128 0.020 0.652 0.004 0.088
#> 981584D3-10DB-455C-8132-E8E5F44E1222 1 0.648 0.68253 0.584 0.152 0.000 0.168 0.012 0.084
#> 47F6E197-7164-4289-95B5-8FD305A13B4C 4 0.555 -0.10633 0.032 0.052 0.000 0.512 0.004 0.400
#> 4522D871-9379-4643-B15E-9ACB556276C4 4 0.560 0.47283 0.024 0.172 0.040 0.696 0.032 0.036
#> 7560B2B5-6AF5-4600-9F0A-BE25CF99B6B9 6 0.404 0.52940 0.008 0.044 0.004 0.188 0.000 0.756
#> 38F5957E-0A99-432D-8F0B-B48E03F17668 4 0.345 0.59501 0.020 0.040 0.000 0.832 0.004 0.104
#> 7A6BBBE6-2B3B-44EB-A101-C823739AB24F 2 0.598 0.57505 0.040 0.596 0.000 0.248 0.012 0.104
#> 0782D25A-3B14-499E-A40C-3852B3A15B8B 2 0.637 0.52760 0.108 0.464 0.000 0.380 0.032 0.016
#> 31D4B639-D1E5-479B-AEC2-34F758F2E470 4 0.735 -0.25997 0.016 0.064 0.196 0.392 0.004 0.328
#> C49078E1-E730-4E81-8EAE-5AAAB9FA1BF5 4 0.664 0.47481 0.036 0.116 0.104 0.620 0.008 0.116
#> 48BCD3B8-917F-4E8F-BCEA-1363570A6486 6 0.686 0.16004 0.072 0.176 0.000 0.352 0.000 0.400
#> F3BA6259-9F68-47D0-ABDD-1272AE112CAB 2 0.613 0.58505 0.032 0.584 0.000 0.248 0.020 0.116
#> 3CA49BB1-30F6-47F3-A751-D5601E16BDBA 1 0.656 0.70015 0.564 0.164 0.000 0.180 0.008 0.084
#> 47747595-686A-46B5-9EF4-A4CFB85D746D 3 0.648 0.33604 0.024 0.060 0.456 0.412 0.024 0.024
#> 87974EFF-C2DE-4930-93E3-015E6D996440 2 0.806 0.33278 0.024 0.348 0.148 0.252 0.224 0.004
#> 7D272E6C-826D-4D02-8383-6A3D5BBF3A5F 3 0.219 0.61170 0.004 0.000 0.876 0.000 0.120 0.000
#> 070E540B-34DB-4016-B573-84924407F57F 4 0.617 0.55049 0.056 0.092 0.072 0.672 0.008 0.100
#> 63F4281A-4D90-4589-879E-549097FB3459 6 0.563 0.36348 0.008 0.080 0.004 0.380 0.008 0.520
#> 93A66EA0-0C74-4342-8140-72ECB01F99A1 6 0.667 0.10980 0.028 0.060 0.056 0.396 0.008 0.452
#> C92AD683-FD09-4DD2-A5A5-C72EA5DD9B46 4 0.551 0.42387 0.032 0.192 0.028 0.680 0.004 0.064
#> 38D2BE9E-15D4-47BC-8FEB-55310F23825B 4 0.665 -0.14044 0.020 0.360 0.024 0.480 0.020 0.096
#> B3029936-1EEF-4378-AA28-D5B2A32CDC86 4 0.440 0.58114 0.072 0.044 0.000 0.772 0.004 0.108
#> 9A33172F-AEEA-4B7D-9605-0C60D7872CEA 4 0.539 -0.12257 0.024 0.048 0.000 0.508 0.004 0.416
#> F2BC32E5-4117-468E-B637-9EDB6E9CC6C7 4 0.641 -0.10574 0.020 0.060 0.068 0.488 0.000 0.364
#> EC319D0D-96C5-49DB-A2C4-BB6BFED6844F 4 0.279 0.61324 0.004 0.052 0.008 0.884 0.008 0.044
#> 8CB71499-1B35-417D-95E1-D85CE71A2D8A 4 0.366 0.60930 0.016 0.056 0.004 0.816 0.000 0.108
#> C5986AA8-D1C7-47BB-946F-1AE00503A444 4 0.719 0.14344 0.124 0.240 0.024 0.496 0.000 0.116
#> CDB44ECD-3F01-4865-B4CC-5190E0FB64DC 4 0.503 0.50301 0.188 0.092 0.000 0.688 0.000 0.032
#> 57633DCE-DC21-42AE-82EB-81F532CE9840 2 0.678 0.59900 0.008 0.524 0.020 0.280 0.116 0.052
#> 715C1406-D224-466D-968E-46889824CD3D 4 0.607 0.45719 0.120 0.152 0.020 0.640 0.000 0.068
#> 86A9A426-4B69-4572-9AFF-103C2724E5EA 4 0.642 0.47810 0.036 0.136 0.108 0.624 0.000 0.096
#> A73A2348-FC50-42A5-ADF0-6647E5ECF0EA 6 0.511 0.41313 0.016 0.064 0.004 0.288 0.000 0.628
#> 4BF75CF9-DA61-4A0B-940C-B09C7FE864F0 4 0.324 0.58283 0.016 0.048 0.000 0.860 0.020 0.056
#> E3D18696-51D7-4BE3-A32B-3196E5F80438 4 0.492 0.42402 0.032 0.036 0.000 0.696 0.016 0.220
#> C4C7C112-555F-46D5-8D5D-411C7737A4C9 3 0.468 0.53234 0.020 0.024 0.684 0.260 0.004 0.008
#> 0A3E0A3D-D396-4340-8D98-4B79DBFC312C 1 0.727 0.49990 0.404 0.244 0.004 0.276 0.008 0.064
#> 5513114D-2503-4D11-ADA4-35BE010510E5 3 0.771 0.15845 0.056 0.060 0.388 0.344 0.008 0.144
#> EDDCFDBA-B3E7-4E3F-97CB-D017C9DC9EF7 4 0.238 0.59982 0.008 0.048 0.016 0.908 0.004 0.016
#> 7046C2F2-A8DE-4AE1-B27D-094CF2EF3B3D 2 0.528 0.61378 0.012 0.560 0.000 0.364 0.056 0.008
#> 6869ABAF-343B-4C9B-8975-B26A2C895123 4 0.647 0.46482 0.136 0.120 0.024 0.620 0.004 0.096
#> EC0B4E94-0FD0-4DBE-8E1A-14DBB0E63772 2 0.650 0.58224 0.020 0.488 0.032 0.360 0.092 0.008
#> 245967F0-EE1A-4B0C-BEE2-0283393DA722 3 0.648 0.33604 0.024 0.060 0.456 0.412 0.024 0.024
#> 9E5162FF-4316-42B2-882F-9CDBE2193686 1 0.722 0.34195 0.344 0.292 0.000 0.296 0.008 0.060
#> 64FCCF76-C73F-401D-974A-BBB4F1CBC8A0 5 0.297 0.75584 0.000 0.128 0.028 0.000 0.840 0.004
#> 20152BF5-FA56-4B98-8F20-FFEE20F8B1CB 6 0.502 0.49788 0.016 0.036 0.008 0.344 0.000 0.596
#> 1576BB97-F8EA-48FF-9494-EBC7A0C97312 2 0.706 0.55979 0.020 0.460 0.052 0.364 0.056 0.048
#> 4405F995-AE79-46F9-BFEE-81CAECF42BAE 4 0.612 -0.10574 0.012 0.348 0.020 0.536 0.032 0.052
#> 681D8638-84E1-43B9-93A9-3189560D8611 6 0.633 0.14233 0.024 0.088 0.008 0.428 0.016 0.436
#> 49B8F49B-1C21-4145-BCDC-403B3D37CCD5 4 0.235 0.60032 0.008 0.052 0.012 0.908 0.004 0.016
#> C11294C4-9285-4BC2-B0F6-98054A63CF50 4 0.375 0.60969 0.064 0.060 0.000 0.824 0.004 0.048
#> 688EFD86-95DA-4442-87F0-DBF9E6B549FD 2 0.802 0.33144 0.020 0.348 0.152 0.252 0.224 0.004
#> F23B0A1A-25AE-41D9-8C49-B692C4FDE1E4 4 0.446 0.48215 0.024 0.048 0.000 0.720 0.000 0.208
#> 1809618E-A051-4758-BC59-B04E23FB3A42 2 0.624 0.52324 0.028 0.504 0.012 0.360 0.008 0.088
#> 9DD73399-620E-472C-8360-5565F91BBD3A 4 0.559 -0.09679 0.024 0.020 0.028 0.496 0.004 0.428
#> E85AE97F-43CF-4250-B2BF-63E6FA8044E8 4 0.584 0.29331 0.048 0.248 0.020 0.632 0.016 0.036
#> D4E58BFB-9859-4D77-A581-1D713AA54B0B 4 0.679 0.45684 0.036 0.112 0.120 0.604 0.008 0.120
#> 57CDEE2D-9B87-40D7-8DDA-17B7000F6965 1 0.727 0.49990 0.404 0.244 0.004 0.276 0.008 0.064
#> 412F9B5E-324D-40CC-A8F3-FA9C1FCC83C0 6 0.623 0.41709 0.172 0.140 0.000 0.076 0.008 0.604
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#> B29206B9-3682-4A5A-A7ED-3DF04361440C 2 0.537 0.58480 0.016 0.552 0.004 0.380 0.028 0.020
#> 1DEA6525-5598-4985-9218-D61912C75437 4 0.497 0.40222 0.032 0.036 0.000 0.688 0.016 0.228
#> E15EAAB4-0860-4716-9922-667F604CDF12 4 0.348 0.61386 0.012 0.052 0.008 0.844 0.008 0.076
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 1 0.522 0.36186 0.748 0.080 0.020 0.036 0.084 0.032
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 4 0.330 0.60020 0.004 0.076 0.012 0.852 0.008 0.048
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 4 0.797 0.06266 0.032 0.204 0.156 0.480 0.068 0.060
#> F37E118C-1066-4A84-B190-B9B78E265D94 4 0.334 0.60179 0.008 0.048 0.000 0.848 0.020 0.076
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 2 0.581 0.62170 0.032 0.596 0.000 0.284 0.024 0.064
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 2 0.571 0.60179 0.048 0.576 0.000 0.320 0.016 0.040
#> E2A4C651-977F-4F40-B5EC-46DF75944141 6 0.422 0.55738 0.016 0.016 0.000 0.292 0.000 0.676
#> 433599CC-9DF5-4494-A607-8079FFE74D95 4 0.651 -0.31420 0.016 0.388 0.024 0.476 0.040 0.056
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 4 0.794 -0.25514 0.272 0.212 0.016 0.396 0.048 0.056
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 5 0.420 0.76027 0.000 0.208 0.052 0.004 0.732 0.004
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 4 0.219 0.60967 0.000 0.044 0.000 0.908 0.008 0.040
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 4 0.544 0.48393 0.008 0.188 0.028 0.684 0.016 0.076
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 4 0.641 -0.12037 0.020 0.060 0.068 0.484 0.000 0.368
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.209 0.61168 0.000 0.000 0.876 0.000 0.124 0.000
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 5 0.420 0.76027 0.000 0.208 0.052 0.004 0.732 0.004
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 5 0.401 0.76062 0.000 0.200 0.052 0.000 0.744 0.004
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.592 0.59381 0.024 0.600 0.000 0.248 0.020 0.108
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 4 0.752 -0.19774 0.016 0.316 0.036 0.372 0.024 0.236
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.586 0.58857 0.040 0.520 0.004 0.372 0.060 0.004
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 6 0.424 0.55390 0.016 0.016 0.000 0.296 0.000 0.672
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 5 0.262 0.76085 0.000 0.124 0.020 0.000 0.856 0.000
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 4 0.270 0.61293 0.000 0.068 0.000 0.876 0.008 0.048
#> 057B580C-13FD-4185-943C-9DD5266B8554 4 0.582 0.53631 0.064 0.128 0.028 0.692 0.012 0.076
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 4 0.490 0.54888 0.172 0.052 0.020 0.728 0.004 0.024
#> 287F3696-25CF-4E67-A934-E50856AD4790 2 0.719 0.43653 0.008 0.536 0.024 0.132 0.188 0.112
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.645 0.44571 0.120 0.496 0.000 0.312 0.000 0.072
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 4 0.661 0.44716 0.144 0.128 0.032 0.608 0.004 0.084
#> B80A74AB-A264-4396-93F8-FD976DBC1456 5 0.417 0.76055 0.000 0.204 0.052 0.004 0.736 0.004
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.537 0.58480 0.016 0.552 0.004 0.380 0.028 0.020
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 4 0.470 0.52533 0.028 0.036 0.008 0.720 0.004 0.204
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 4 0.270 0.60918 0.004 0.064 0.016 0.884 0.000 0.032
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 4 0.554 0.39325 0.024 0.212 0.024 0.668 0.008 0.064
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 5 0.533 0.70303 0.012 0.284 0.092 0.000 0.608 0.004
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.768 -0.06717 0.148 0.288 0.000 0.272 0.004 0.288
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 6 0.424 0.55390 0.016 0.016 0.000 0.296 0.000 0.672
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 4 0.536 0.47600 0.088 0.140 0.020 0.704 0.000 0.048
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.581 0.62170 0.032 0.596 0.000 0.284 0.024 0.064
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 4 0.470 0.52533 0.028 0.036 0.008 0.720 0.004 0.204
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 1 0.720 0.69882 0.484 0.184 0.004 0.216 0.008 0.104
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 5 0.626 0.59291 0.004 0.268 0.052 0.060 0.584 0.032
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 4 0.570 0.40146 0.076 0.216 0.012 0.648 0.004 0.044
#> DD292494-92A2-43CB-B59B-726B2F429B29 4 0.580 0.36594 0.216 0.148 0.000 0.600 0.000 0.036
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 4 0.428 0.56835 0.020 0.044 0.024 0.780 0.000 0.132
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 4 0.653 0.37901 0.068 0.196 0.012 0.588 0.008 0.128
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 4 0.620 -0.00498 0.016 0.332 0.028 0.544 0.020 0.060
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 6 0.679 0.43619 0.020 0.200 0.120 0.044 0.032 0.584
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 4 0.229 0.59989 0.008 0.048 0.012 0.912 0.004 0.016
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 3 0.648 0.33604 0.024 0.060 0.456 0.412 0.024 0.024
#> 74CF740D-201D-4070-99B9-F007E7C4D472 3 0.771 0.15845 0.056 0.060 0.388 0.344 0.008 0.144
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 1 0.343 0.25924 0.844 0.012 0.028 0.000 0.084 0.032
#> 78F28873-E471-497A-9405-FB8955808599 5 0.654 0.61172 0.036 0.296 0.084 0.040 0.540 0.004
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.571 0.60951 0.016 0.528 0.004 0.364 0.084 0.004
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.591 0.59895 0.064 0.588 0.008 0.292 0.012 0.036
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 6 0.662 0.19578 0.044 0.192 0.000 0.344 0.000 0.420
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 17397 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 0.622 0.859 0.919 0.4726 0.501 0.501
#> 3 3 0.516 0.816 0.870 0.2872 0.806 0.642
#> 4 4 0.512 0.518 0.758 0.1671 0.880 0.704
#> 5 5 0.540 0.377 0.661 0.0866 0.901 0.694
#> 6 6 0.605 0.472 0.649 0.0524 0.835 0.445
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
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 2 0.0376 0.8546 0.004 0.996
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.0000 0.9600 1.000 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 1 0.0376 0.9602 0.996 0.004
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.0376 0.9602 0.996 0.004
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.0376 0.9602 0.996 0.004
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.0000 0.9600 1.000 0.000
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.3733 0.8633 0.072 0.928
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.9000 0.7113 0.316 0.684
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.0000 0.9600 1.000 0.000
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 1 0.0376 0.9602 0.996 0.004
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 1 0.1633 0.9389 0.976 0.024
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 2 0.0376 0.8546 0.004 0.996
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.0000 0.9600 1.000 0.000
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 1 0.0376 0.9602 0.996 0.004
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.0000 0.9600 1.000 0.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 2 0.0376 0.8546 0.004 0.996
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 2 0.9996 0.3314 0.488 0.512
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 1 0.2236 0.9301 0.964 0.036
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.0376 0.9602 0.996 0.004
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.0000 0.9600 1.000 0.000
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 2 0.9286 0.6771 0.344 0.656
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 2 0.0376 0.8546 0.004 0.996
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 1 0.0000 0.9600 1.000 0.000
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 1 0.0000 0.9600 1.000 0.000
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 2 0.9686 0.5649 0.396 0.604
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 1 0.0376 0.9602 0.996 0.004
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.0376 0.9602 0.996 0.004
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 1 0.0376 0.9602 0.996 0.004
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.9000 0.7113 0.316 0.684
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 2 0.0376 0.8546 0.004 0.996
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 1 0.0000 0.9600 1.000 0.000
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.3733 0.8634 0.072 0.928
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.0376 0.9602 0.996 0.004
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 2 0.3879 0.8631 0.076 0.924
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 1 0.1843 0.9391 0.972 0.028
#> BE56F908-42DD-4019-A8AC-48884DA788B1 2 0.5178 0.8534 0.116 0.884
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 2 0.8813 0.7219 0.300 0.700
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 1 0.0376 0.9602 0.996 0.004
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 1 0.0000 0.9600 1.000 0.000
#> 791D9EB8-42E0-4192-B064-B1126CA14481 2 0.9248 0.6829 0.340 0.660
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 2 0.0000 0.8547 0.000 1.000
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 2 0.3733 0.8633 0.072 0.928
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.0000 0.9600 1.000 0.000
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.0376 0.9602 0.996 0.004
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 2 0.0376 0.8546 0.004 0.996
#> D47C7B74-BB01-4614-B683-652F7130729C 2 0.0000 0.8547 0.000 1.000
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 1 0.0376 0.9602 0.996 0.004
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 1 0.9775 0.0641 0.588 0.412
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.0376 0.9602 0.996 0.004
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.3879 0.8631 0.076 0.924
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.0376 0.9602 0.996 0.004
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 1 0.0376 0.9602 0.996 0.004
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 2 0.9087 0.6987 0.324 0.676
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 2 0.0000 0.8547 0.000 1.000
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 1 0.6531 0.7668 0.832 0.168
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 1 0.0376 0.9602 0.996 0.004
#> 58F11B66-AE40-417E-B465-811C6CF7311C 1 0.0376 0.9602 0.996 0.004
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.0000 0.9600 1.000 0.000
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 2 0.3733 0.8633 0.072 0.928
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 2 0.5178 0.8534 0.116 0.884
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 2 0.4431 0.8606 0.092 0.908
#> 739952C6-FF36-4E34-B881-E02FE17C4012 1 0.0000 0.9600 1.000 0.000
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 1 0.0000 0.9600 1.000 0.000
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#> BA96CB79-F522-45D0-B0BC-E779C88393AE 1 0.3879 0.8853 0.924 0.076
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 1 0.0000 0.9600 1.000 0.000
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 2 0.0000 0.8547 0.000 1.000
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 2 0.3879 0.8633 0.076 0.924
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 2 0.3584 0.8634 0.068 0.932
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 2 0.5519 0.8481 0.128 0.872
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.0000 0.9600 1.000 0.000
#> E15EAAB4-0860-4716-9922-667F604CDF12 1 0.0376 0.9602 0.996 0.004
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 2 0.9000 0.7102 0.316 0.684
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 1 0.0376 0.9602 0.996 0.004
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 2 0.7453 0.7715 0.212 0.788
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.0376 0.9602 0.996 0.004
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 2 0.3733 0.8633 0.072 0.928
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 2 0.4939 0.8565 0.108 0.892
#> E2A4C651-977F-4F40-B5EC-46DF75944141 1 0.0000 0.9600 1.000 0.000
#> 433599CC-9DF5-4494-A607-8079FFE74D95 2 0.3733 0.8633 0.072 0.928
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 2 0.3274 0.8634 0.060 0.940
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 2 0.0000 0.8547 0.000 1.000
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.0376 0.9602 0.996 0.004
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 1 0.0376 0.9602 0.996 0.004
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 1 0.0000 0.9600 1.000 0.000
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 2 0.0376 0.8546 0.004 0.996
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 2 0.0000 0.8547 0.000 1.000
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 2 0.0376 0.8546 0.004 0.996
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.9209 0.6831 0.336 0.664
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 1 0.0376 0.9602 0.996 0.004
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.3879 0.8631 0.076 0.924
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.0000 0.9600 1.000 0.000
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 2 0.0376 0.8546 0.004 0.996
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.0376 0.9602 0.996 0.004
#> 057B580C-13FD-4185-943C-9DD5266B8554 1 0.8813 0.5424 0.700 0.300
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 1 0.0376 0.9602 0.996 0.004
#> 287F3696-25CF-4E67-A934-E50856AD4790 2 0.0376 0.8546 0.004 0.996
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.9087 0.6987 0.324 0.676
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 1 0.0000 0.9600 1.000 0.000
#> B80A74AB-A264-4396-93F8-FD976DBC1456 2 0.0000 0.8547 0.000 1.000
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.4815 0.8575 0.104 0.896
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.0376 0.9602 0.996 0.004
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.0376 0.9602 0.996 0.004
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 1 0.9983 -0.0564 0.524 0.476
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 2 0.0376 0.8546 0.004 0.996
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.9922 0.4533 0.448 0.552
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.0000 0.9600 1.000 0.000
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 1 0.0376 0.9602 0.996 0.004
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.3733 0.8633 0.072 0.928
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.0000 0.9600 1.000 0.000
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.9209 0.6831 0.336 0.664
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 2 0.0000 0.8547 0.000 1.000
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 1 0.0672 0.9575 0.992 0.008
#> DD292494-92A2-43CB-B59B-726B2F429B29 1 0.5519 0.8146 0.872 0.128
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.0000 0.9600 1.000 0.000
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 1 0.0376 0.9602 0.996 0.004
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 2 0.4298 0.8614 0.088 0.912
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 2 0.8955 0.7127 0.312 0.688
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 1 0.2948 0.9131 0.948 0.052
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.0000 0.9600 1.000 0.000
#> 74CF740D-201D-4070-99B9-F007E7C4D472 1 0.0000 0.9600 1.000 0.000
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 2 0.9087 0.7023 0.324 0.676
#> 78F28873-E471-497A-9405-FB8955808599 2 0.0376 0.8546 0.004 0.996
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.5059 0.8548 0.112 0.888
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.4298 0.8614 0.088 0.912
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 1 0.0376 0.9602 0.996 0.004
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.1453 0.8637 0.024 0.008 0.968
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.0237 0.8693 0.996 0.004 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 1 0.1315 0.8658 0.972 0.020 0.008
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.0892 0.8662 0.980 0.020 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.3722 0.8623 0.888 0.088 0.024
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.4934 0.8421 0.820 0.156 0.024
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.4453 0.8589 0.152 0.836 0.012
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.1919 0.7660 0.020 0.956 0.024
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.5053 0.8390 0.812 0.164 0.024
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 1 0.5053 0.8390 0.812 0.164 0.024
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 2 0.7186 -0.2681 0.476 0.500 0.024
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 2 0.2356 0.7567 0.000 0.928 0.072
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.4934 0.8421 0.820 0.156 0.024
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 1 0.1170 0.8672 0.976 0.016 0.008
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.5053 0.8390 0.812 0.164 0.024
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 3 0.4002 0.9074 0.000 0.160 0.840
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 2 0.1877 0.7784 0.012 0.956 0.032
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 2 0.5058 0.6556 0.148 0.820 0.032
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.0424 0.8702 0.992 0.008 0.000
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.4873 0.8432 0.824 0.152 0.024
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 2 0.2443 0.7618 0.028 0.940 0.032
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 2 0.4683 0.8540 0.140 0.836 0.024
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 1 0.5298 0.8390 0.804 0.164 0.032
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 1 0.3425 0.8031 0.884 0.004 0.112
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 2 0.4808 0.8416 0.188 0.804 0.008
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 1 0.1636 0.8685 0.964 0.016 0.020
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.0892 0.8662 0.980 0.020 0.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 1 0.1129 0.8661 0.976 0.020 0.004
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.2056 0.7656 0.024 0.952 0.024
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 3 0.4002 0.9074 0.000 0.160 0.840
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 2 0.5060 0.6505 0.156 0.816 0.028
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.4110 0.8610 0.152 0.844 0.004
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.0892 0.8662 0.980 0.020 0.000
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 2 0.4453 0.8589 0.152 0.836 0.012
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 2 0.6079 0.6052 0.388 0.612 0.000
#> BE56F908-42DD-4019-A8AC-48884DA788B1 2 0.5111 0.8491 0.168 0.808 0.024
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 2 0.4121 0.6970 0.024 0.868 0.108
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 1 0.4865 0.8580 0.832 0.136 0.032
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 1 0.1491 0.8659 0.968 0.016 0.016
#> 791D9EB8-42E0-4192-B064-B1126CA14481 2 0.2056 0.7656 0.024 0.952 0.024
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 2 0.4964 0.8388 0.116 0.836 0.048
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 2 0.4453 0.8589 0.152 0.836 0.012
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.4994 0.8407 0.816 0.160 0.024
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.0892 0.8662 0.980 0.020 0.000
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 3 0.1453 0.8637 0.024 0.008 0.968
#> D47C7B74-BB01-4614-B683-652F7130729C 2 0.4539 0.8577 0.148 0.836 0.016
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 1 0.5467 0.8361 0.792 0.176 0.032
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 2 0.5384 0.8321 0.188 0.788 0.024
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.0747 0.8674 0.984 0.016 0.000
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.4291 0.8602 0.152 0.840 0.008
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.0747 0.8674 0.984 0.016 0.000
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 1 0.1919 0.8658 0.956 0.024 0.020
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 2 0.1636 0.7700 0.016 0.964 0.020
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 3 0.4002 0.9074 0.000 0.160 0.840
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 1 0.4465 0.7658 0.820 0.004 0.176
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 1 0.1411 0.8575 0.964 0.036 0.000
#> 58F11B66-AE40-417E-B465-811C6CF7311C 1 0.0892 0.8662 0.980 0.020 0.000
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.5053 0.8390 0.812 0.164 0.024
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 2 0.4413 0.8587 0.160 0.832 0.008
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 2 0.4062 0.8582 0.164 0.836 0.000
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 2 0.0661 0.7922 0.008 0.988 0.004
#> 739952C6-FF36-4E34-B881-E02FE17C4012 1 0.5053 0.8390 0.812 0.164 0.024
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 1 0.5053 0.8390 0.812 0.164 0.024
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 2 0.4233 0.8591 0.160 0.836 0.004
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 1 0.5298 0.8390 0.804 0.164 0.032
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 1 0.1170 0.8672 0.976 0.016 0.008
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 1 0.3461 0.8644 0.900 0.076 0.024
#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 1 0.4291 0.8468 0.840 0.152 0.008
#> F6B26185-139B-47A7-91EC-E885D94AC882 1 0.5467 0.8345 0.792 0.176 0.032
#> 81F30B6F-3E9A-4913-986B-C56D5F107A17 2 0.3310 0.7380 0.064 0.908 0.028
#> 2CCB3AE1-0D27-4493-B7AE-67C60BBC1C38 3 0.4002 0.9074 0.000 0.160 0.840
#> 329665BC-B959-47C5-B831-5546F94EDAC1 2 0.2434 0.7594 0.036 0.940 0.024
#> 8D4335F6-6ACB-4E38-B9F2-A2B5B647AE90 1 0.4802 0.8433 0.824 0.156 0.020
#> D181D0D8-FD8C-4259-9B34-97224CF27E1B 2 0.1919 0.7681 0.020 0.956 0.024
#> C0C10950-ABC5-4125-A33E-5AFA2D2574B0 2 0.4453 0.8589 0.152 0.836 0.012
#> 834D12DB-0925-422C-B15B-20A60A5F658C 2 0.1919 0.7681 0.020 0.956 0.024
#> 50314689-519F-4B27-884C-7816DD64CF4E 1 0.0892 0.8662 0.980 0.020 0.000
#> 2502A23E-E168-4A78-9C14-B93FBC9715B1 1 0.7091 0.7672 0.724 0.152 0.124
#> 3F8D01A3-5449-48A1-BDBA-BFE4D908AE31 2 0.4575 0.8576 0.160 0.828 0.012
#> 1C47A87B-C033-4705-B903-DB33B8C6EC34 1 0.5180 0.8449 0.812 0.156 0.032
#> 1329E1C1-743E-4541-9081-165572D4BF47 2 0.4291 0.8522 0.180 0.820 0.000
#> 1F3F8680-EEB6-4532-B81D-51957D1EA502 1 0.5053 0.8390 0.812 0.164 0.024
#> 50F69785-8B7A-4933-85B1-8DC539ACC72A 1 0.5053 0.8390 0.812 0.164 0.024
#> 9095FDD8-EEB2-4B17-85AB-3CDAC0BEC759 1 0.1315 0.8658 0.972 0.020 0.008
#> B6BF8C22-03E4-44F0-B2EF-2A3DD6ADE7D7 1 0.5053 0.8390 0.812 0.164 0.024
#> D6A907FC-3A1B-4E3B-A440-1CE9BE9B334B 2 0.4233 0.8591 0.160 0.836 0.004
#> 02588D5D-89CB-4D0B-9E96-A0270C3FF866 2 0.0237 0.7840 0.004 0.996 0.000
#> D50BBFC7-7774-4B12-938C-8D5373C12DFC 2 0.4453 0.8589 0.152 0.836 0.012
#> 6E930060-502B-49F5-A385-9B91DEBD05E4 1 0.0000 0.8698 1.000 0.000 0.000
#> F6606A8E-ACC6-4826-9547-E0017521724D 1 0.5239 0.8408 0.808 0.160 0.032
#> 981584D3-10DB-455C-8132-E8E5F44E1222 2 0.2056 0.7656 0.024 0.952 0.024
#> 47F6E197-7164-4289-95B5-8FD305A13B4C 1 0.5053 0.8390 0.812 0.164 0.024
#> 4522D871-9379-4643-B15E-9ACB556276C4 1 0.1315 0.8658 0.972 0.020 0.008
#> 7560B2B5-6AF5-4600-9F0A-BE25CF99B6B9 1 0.5053 0.8390 0.812 0.164 0.024
#> 38F5957E-0A99-432D-8F0B-B48E03F17668 1 0.4811 0.8452 0.828 0.148 0.024
#> 7A6BBBE6-2B3B-44EB-A101-C823739AB24F 2 0.3879 0.8613 0.152 0.848 0.000
#> 0782D25A-3B14-499E-A40C-3852B3A15B8B 2 0.4062 0.8582 0.164 0.836 0.000
#> 31D4B639-D1E5-479B-AEC2-34F758F2E470 1 0.5298 0.8390 0.804 0.164 0.032
#> C49078E1-E730-4E81-8EAE-5AAAB9FA1BF5 2 0.6229 0.6704 0.064 0.764 0.172
#> 48BCD3B8-917F-4E8F-BCEA-1363570A6486 2 0.4799 0.6755 0.132 0.836 0.032
#> F3BA6259-9F68-47D0-ABDD-1272AE112CAB 2 0.4110 0.8610 0.152 0.844 0.004
#> 3CA49BB1-30F6-47F3-A751-D5601E16BDBA 2 0.2056 0.7656 0.024 0.952 0.024
#> 47747595-686A-46B5-9EF4-A4CFB85D746D 1 0.5413 0.7437 0.800 0.036 0.164
#> 87974EFF-C2DE-4930-93E3-015E6D996440 3 0.5560 0.7201 0.000 0.300 0.700
#> 7D272E6C-826D-4D02-8383-6A3D5BBF3A5F 3 0.1453 0.8637 0.024 0.008 0.968
#> 070E540B-34DB-4016-B573-84924407F57F 1 0.4999 0.8443 0.820 0.152 0.028
#> 63F4281A-4D90-4589-879E-549097FB3459 1 0.4865 0.8496 0.832 0.136 0.032
#> 93A66EA0-0C74-4342-8140-72ECB01F99A1 1 0.5298 0.8390 0.804 0.164 0.032
#> C92AD683-FD09-4DD2-A5A5-C72EA5DD9B46 1 0.4346 0.6809 0.816 0.184 0.000
#> 38D2BE9E-15D4-47BC-8FEB-55310F23825B 2 0.4409 0.8553 0.172 0.824 0.004
#> B3029936-1EEF-4378-AA28-D5B2A32CDC86 1 0.3879 0.8465 0.848 0.152 0.000
#> 9A33172F-AEEA-4B7D-9605-0C60D7872CEA 1 0.4934 0.8421 0.820 0.156 0.024
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#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 1 0.1315 0.8658 0.972 0.020 0.008
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 1 0.5298 0.8390 0.804 0.164 0.032
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.1453 0.8637 0.024 0.008 0.968
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 3 0.4002 0.9074 0.000 0.160 0.840
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 3 0.4002 0.9074 0.000 0.160 0.840
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.3879 0.8613 0.152 0.848 0.000
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 1 0.5298 0.7033 0.804 0.164 0.032
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.4453 0.8589 0.152 0.836 0.012
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.5053 0.8390 0.812 0.164 0.024
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 3 0.4002 0.9074 0.000 0.160 0.840
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.0747 0.8674 0.984 0.016 0.000
#> 057B580C-13FD-4185-943C-9DD5266B8554 1 0.1711 0.8604 0.960 0.032 0.008
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 1 0.1315 0.8658 0.972 0.020 0.008
#> 287F3696-25CF-4E67-A934-E50856AD4790 2 0.6045 0.2902 0.000 0.620 0.380
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.3816 0.8611 0.148 0.852 0.000
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 1 0.5521 0.8327 0.788 0.180 0.032
#> B80A74AB-A264-4396-93F8-FD976DBC1456 3 0.4002 0.9074 0.000 0.160 0.840
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.4233 0.8591 0.160 0.836 0.004
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.0747 0.8674 0.984 0.016 0.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.1315 0.8658 0.972 0.020 0.008
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 2 0.5024 0.8216 0.220 0.776 0.004
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 3 0.4002 0.9074 0.000 0.160 0.840
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.2187 0.7644 0.028 0.948 0.024
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.5053 0.8390 0.812 0.164 0.024
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 1 0.4531 0.6983 0.824 0.168 0.008
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.4291 0.8602 0.152 0.840 0.008
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.4934 0.8421 0.820 0.156 0.024
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.2056 0.7656 0.024 0.952 0.024
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 2 0.7363 0.2962 0.040 0.588 0.372
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 2 0.6398 0.6351 0.372 0.620 0.008
#> DD292494-92A2-43CB-B59B-726B2F429B29 2 0.4700 0.8483 0.180 0.812 0.008
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.5180 0.8421 0.812 0.156 0.032
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 1 0.2050 0.8687 0.952 0.020 0.028
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 2 0.4629 0.8448 0.188 0.808 0.004
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 2 0.2793 0.7527 0.028 0.928 0.044
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 1 0.1315 0.8658 0.972 0.020 0.008
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.4063 0.8107 0.868 0.020 0.112
#> 74CF740D-201D-4070-99B9-F007E7C4D472 1 0.6775 0.8024 0.740 0.164 0.096
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 2 0.2056 0.7656 0.024 0.952 0.024
#> 78F28873-E471-497A-9405-FB8955808599 3 0.4002 0.9074 0.000 0.160 0.840
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.4233 0.8591 0.160 0.836 0.004
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.4110 0.8610 0.152 0.844 0.004
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 2 0.6512 0.3705 0.300 0.676 0.024
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.3908 0.75892 0.004 0.000 0.784 0.212
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.1305 0.68346 0.960 0.004 0.000 0.036
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 1 0.3791 0.61397 0.796 0.004 0.000 0.200
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.0188 0.68908 0.996 0.004 0.000 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.1211 0.68177 0.960 0.000 0.000 0.040
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.4624 0.19707 0.660 0.000 0.000 0.340
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.2528 0.69375 0.004 0.908 0.080 0.008
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.4746 0.34368 0.000 0.632 0.000 0.368
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.4866 0.01016 0.596 0.000 0.000 0.404
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 4 0.5137 0.33512 0.452 0.004 0.000 0.544
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 4 0.7220 0.46649 0.196 0.260 0.000 0.544
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 2 0.4452 0.49391 0.000 0.732 0.260 0.008
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.4543 0.24107 0.676 0.000 0.000 0.324
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 1 0.3539 0.63090 0.820 0.004 0.000 0.176
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.4804 0.06947 0.616 0.000 0.000 0.384
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 3 0.2760 0.84388 0.000 0.128 0.872 0.000
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 4 0.5097 -0.09841 0.004 0.428 0.000 0.568
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 2 0.4994 0.19142 0.000 0.520 0.000 0.480
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.1305 0.68346 0.960 0.004 0.000 0.036
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.3219 0.56133 0.836 0.000 0.000 0.164
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 4 0.5022 0.27908 0.000 0.264 0.028 0.708
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 2 0.2266 0.69192 0.004 0.912 0.084 0.000
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 4 0.5080 0.34217 0.420 0.004 0.000 0.576
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 1 0.5119 0.51969 0.764 0.000 0.112 0.124
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 2 0.8202 0.35263 0.172 0.512 0.044 0.272
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 1 0.3208 0.61338 0.848 0.004 0.000 0.148
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.0188 0.68908 0.996 0.004 0.000 0.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 1 0.2831 0.66356 0.876 0.004 0.000 0.120
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.4866 0.28721 0.000 0.596 0.000 0.404
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 3 0.2760 0.84388 0.000 0.128 0.872 0.000
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 4 0.5000 -0.15621 0.000 0.500 0.000 0.500
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.0376 0.72152 0.004 0.992 0.004 0.000
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.0376 0.68898 0.992 0.004 0.000 0.004
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 2 0.3785 0.68275 0.004 0.856 0.084 0.056
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 2 0.6783 0.36636 0.304 0.572 0.000 0.124
#> BE56F908-42DD-4019-A8AC-48884DA788B1 2 0.8228 0.38600 0.144 0.524 0.060 0.272
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 4 0.6994 -0.11245 0.000 0.412 0.116 0.472
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 1 0.6148 0.23640 0.540 0.052 0.000 0.408
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 1 0.3402 0.64420 0.832 0.004 0.000 0.164
#> 791D9EB8-42E0-4192-B064-B1126CA14481 2 0.4989 0.21059 0.000 0.528 0.000 0.472
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 2 0.2944 0.65846 0.004 0.868 0.128 0.000
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 2 0.1109 0.71930 0.004 0.968 0.028 0.000
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.4522 0.24989 0.680 0.000 0.000 0.320
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.0376 0.68883 0.992 0.004 0.000 0.004
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 3 0.3982 0.75558 0.004 0.000 0.776 0.220
#> D47C7B74-BB01-4614-B683-652F7130729C 2 0.2197 0.69348 0.004 0.916 0.080 0.000
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 4 0.5143 0.34301 0.360 0.012 0.000 0.628
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 2 0.7156 0.33986 0.140 0.492 0.000 0.368
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.0376 0.68898 0.992 0.004 0.000 0.004
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.1109 0.72012 0.004 0.968 0.000 0.028
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.1305 0.68346 0.960 0.004 0.000 0.036
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 1 0.5512 0.45990 0.660 0.040 0.000 0.300
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 2 0.3219 0.64427 0.000 0.836 0.000 0.164
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 3 0.3688 0.76965 0.000 0.208 0.792 0.000
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 1 0.6184 0.39995 0.664 0.000 0.120 0.216
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 1 0.3168 0.63584 0.884 0.056 0.000 0.060
#> 58F11B66-AE40-417E-B465-811C6CF7311C 1 0.4624 0.58284 0.784 0.052 0.000 0.164
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.4804 0.06947 0.616 0.000 0.000 0.384
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 2 0.7224 0.52605 0.044 0.632 0.112 0.212
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 2 0.5839 0.61954 0.040 0.740 0.056 0.164
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 2 0.1211 0.71693 0.000 0.960 0.000 0.040
#> 739952C6-FF36-4E34-B881-E02FE17C4012 1 0.4933 -0.07297 0.568 0.000 0.000 0.432
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 1 0.4776 0.09134 0.624 0.000 0.000 0.376
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 2 0.1362 0.72064 0.004 0.964 0.020 0.012
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 4 0.4804 0.49986 0.276 0.016 0.000 0.708
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 1 0.2654 0.67168 0.888 0.004 0.000 0.108
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 1 0.1211 0.68177 0.960 0.000 0.000 0.040
#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 1 0.3837 0.62619 0.776 0.000 0.000 0.224
#> F6B26185-139B-47A7-91EC-E885D94AC882 4 0.5185 0.52452 0.176 0.076 0.000 0.748
#> 81F30B6F-3E9A-4913-986B-C56D5F107A17 4 0.5560 0.13290 0.004 0.368 0.020 0.608
#> 2CCB3AE1-0D27-4493-B7AE-67C60BBC1C38 3 0.2760 0.84388 0.000 0.128 0.872 0.000
#> 329665BC-B959-47C5-B831-5546F94EDAC1 4 0.5000 -0.14613 0.000 0.496 0.000 0.504
#> 8D4335F6-6ACB-4E38-B9F2-A2B5B647AE90 1 0.2814 0.61398 0.868 0.000 0.000 0.132
#> D181D0D8-FD8C-4259-9B34-97224CF27E1B 2 0.4955 0.26723 0.000 0.556 0.000 0.444
#> C0C10950-ABC5-4125-A33E-5AFA2D2574B0 2 0.2088 0.70390 0.004 0.928 0.064 0.004
#> 834D12DB-0925-422C-B15B-20A60A5F658C 2 0.4961 0.24478 0.000 0.552 0.000 0.448
#> 50314689-519F-4B27-884C-7816DD64CF4E 1 0.0188 0.68908 0.996 0.004 0.000 0.000
#> 2502A23E-E168-4A78-9C14-B93FBC9715B1 1 0.6134 0.40891 0.668 0.000 0.116 0.216
#> 3F8D01A3-5449-48A1-BDBA-BFE4D908AE31 2 0.7431 0.49624 0.044 0.600 0.108 0.248
#> 1C47A87B-C033-4705-B903-DB33B8C6EC34 4 0.5268 0.28193 0.396 0.012 0.000 0.592
#> 1329E1C1-743E-4541-9081-165572D4BF47 2 0.5722 0.60393 0.148 0.716 0.000 0.136
#> 1F3F8680-EEB6-4532-B81D-51957D1EA502 1 0.4916 -0.05591 0.576 0.000 0.000 0.424
#> 50F69785-8B7A-4933-85B1-8DC539ACC72A 1 0.4804 0.06947 0.616 0.000 0.000 0.384
#> 9095FDD8-EEB2-4B17-85AB-3CDAC0BEC759 1 0.4053 0.59335 0.768 0.004 0.000 0.228
#> B6BF8C22-03E4-44F0-B2EF-2A3DD6ADE7D7 1 0.4925 -0.06263 0.572 0.000 0.000 0.428
#> D6A907FC-3A1B-4E3B-A440-1CE9BE9B334B 2 0.2269 0.72169 0.028 0.932 0.008 0.032
#> 02588D5D-89CB-4D0B-9E96-A0270C3FF866 2 0.2149 0.70202 0.000 0.912 0.000 0.088
#> D50BBFC7-7774-4B12-938C-8D5373C12DFC 2 0.2216 0.68734 0.000 0.908 0.092 0.000
#> 6E930060-502B-49F5-A385-9B91DEBD05E4 1 0.1305 0.68346 0.960 0.004 0.000 0.036
#> F6606A8E-ACC6-4826-9547-E0017521724D 4 0.4605 0.43388 0.336 0.000 0.000 0.664
#> 981584D3-10DB-455C-8132-E8E5F44E1222 2 0.4989 0.21059 0.000 0.528 0.000 0.472
#> 47F6E197-7164-4289-95B5-8FD305A13B4C 1 0.4955 -0.10479 0.556 0.000 0.000 0.444
#> 4522D871-9379-4643-B15E-9ACB556276C4 1 0.2999 0.66022 0.864 0.004 0.000 0.132
#> 7560B2B5-6AF5-4600-9F0A-BE25CF99B6B9 4 0.4477 0.46497 0.312 0.000 0.000 0.688
#> 38F5957E-0A99-432D-8F0B-B48E03F17668 1 0.1302 0.67921 0.956 0.000 0.000 0.044
#> 7A6BBBE6-2B3B-44EB-A101-C823739AB24F 2 0.0895 0.72034 0.004 0.976 0.000 0.020
#> 0782D25A-3B14-499E-A40C-3852B3A15B8B 2 0.1661 0.71703 0.004 0.944 0.000 0.052
#> 31D4B639-D1E5-479B-AEC2-34F758F2E470 4 0.4933 0.27278 0.432 0.000 0.000 0.568
#> C49078E1-E730-4E81-8EAE-5AAAB9FA1BF5 2 0.6531 0.52325 0.008 0.640 0.104 0.248
#> 48BCD3B8-917F-4E8F-BCEA-1363570A6486 4 0.4898 0.04331 0.000 0.416 0.000 0.584
#> F3BA6259-9F68-47D0-ABDD-1272AE112CAB 2 0.0779 0.72084 0.004 0.980 0.000 0.016
#> 3CA49BB1-30F6-47F3-A751-D5601E16BDBA 2 0.4981 0.22170 0.000 0.536 0.000 0.464
#> 47747595-686A-46B5-9EF4-A4CFB85D746D 1 0.6875 0.32803 0.608 0.008 0.128 0.256
#> 87974EFF-C2DE-4930-93E3-015E6D996440 3 0.4989 0.24745 0.000 0.472 0.528 0.000
#> 7D272E6C-826D-4D02-8383-6A3D5BBF3A5F 3 0.3908 0.75892 0.004 0.000 0.784 0.212
#> 070E540B-34DB-4016-B573-84924407F57F 1 0.4907 0.22059 0.580 0.000 0.000 0.420
#> 63F4281A-4D90-4589-879E-549097FB3459 1 0.4948 0.25450 0.560 0.000 0.000 0.440
#> 93A66EA0-0C74-4342-8140-72ECB01F99A1 4 0.4304 0.46998 0.284 0.000 0.000 0.716
#> C92AD683-FD09-4DD2-A5A5-C72EA5DD9B46 1 0.6115 0.43410 0.680 0.172 0.000 0.148
#> 38D2BE9E-15D4-47BC-8FEB-55310F23825B 2 0.5767 0.57293 0.152 0.712 0.000 0.136
#> B3029936-1EEF-4378-AA28-D5B2A32CDC86 1 0.1557 0.68174 0.944 0.000 0.000 0.056
#> 9A33172F-AEEA-4B7D-9605-0C60D7872CEA 1 0.4500 0.26038 0.684 0.000 0.000 0.316
#> F2BC32E5-4117-468E-B637-9EDB6E9CC6C7 4 0.4746 0.30342 0.368 0.000 0.000 0.632
#> EC319D0D-96C5-49DB-A2C4-BB6BFED6844F 1 0.0188 0.68908 0.996 0.004 0.000 0.000
#> 8CB71499-1B35-417D-95E1-D85CE71A2D8A 1 0.0657 0.68930 0.984 0.004 0.000 0.012
#> C5986AA8-D1C7-47BB-946F-1AE00503A444 2 0.2197 0.70882 0.004 0.916 0.000 0.080
#> CDB44ECD-3F01-4865-B4CC-5190E0FB64DC 1 0.0524 0.68801 0.988 0.004 0.000 0.008
#> 57633DCE-DC21-42AE-82EB-81F532CE9840 2 0.3680 0.63107 0.004 0.828 0.160 0.008
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#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.4804 0.06947 0.616 0.000 0.000 0.384
#> E15EAAB4-0860-4716-9922-667F604CDF12 1 0.4248 0.59568 0.768 0.012 0.000 0.220
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 4 0.5693 -0.15034 0.000 0.472 0.024 0.504
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 1 0.3831 0.61505 0.792 0.004 0.000 0.204
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 3 0.6495 0.59347 0.108 0.000 0.608 0.284
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.0376 0.68898 0.992 0.004 0.000 0.004
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 2 0.0779 0.72088 0.004 0.980 0.016 0.000
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 2 0.1109 0.71935 0.004 0.968 0.000 0.028
#> E2A4C651-977F-4F40-B5EC-46DF75944141 4 0.4989 0.24509 0.472 0.000 0.000 0.528
#> 433599CC-9DF5-4494-A607-8079FFE74D95 2 0.6749 0.57325 0.044 0.684 0.112 0.160
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 2 0.5260 0.63467 0.004 0.760 0.144 0.092
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 3 0.2760 0.84388 0.000 0.128 0.872 0.000
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.0188 0.68908 0.996 0.004 0.000 0.000
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 1 0.6422 0.41189 0.616 0.104 0.000 0.280
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 4 0.4981 0.20847 0.464 0.000 0.000 0.536
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.3908 0.75892 0.004 0.000 0.784 0.212
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 3 0.2760 0.84388 0.000 0.128 0.872 0.000
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 3 0.2760 0.84388 0.000 0.128 0.872 0.000
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.0657 0.72118 0.004 0.984 0.000 0.012
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 1 0.7871 -0.01615 0.384 0.332 0.000 0.284
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.0657 0.72121 0.004 0.984 0.012 0.000
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.4888 -0.01056 0.588 0.000 0.000 0.412
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 3 0.2760 0.84388 0.000 0.128 0.872 0.000
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.0779 0.68947 0.980 0.004 0.000 0.016
#> 057B580C-13FD-4185-943C-9DD5266B8554 1 0.4322 0.63057 0.804 0.044 0.000 0.152
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 1 0.3831 0.61759 0.792 0.004 0.000 0.204
#> 287F3696-25CF-4E67-A934-E50856AD4790 2 0.4872 0.29663 0.000 0.640 0.356 0.004
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.2266 0.70579 0.004 0.912 0.000 0.084
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 4 0.4635 0.49910 0.268 0.012 0.000 0.720
#> B80A74AB-A264-4396-93F8-FD976DBC1456 3 0.2760 0.84388 0.000 0.128 0.872 0.000
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.2376 0.71426 0.040 0.928 0.020 0.012
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.0188 0.68908 0.996 0.004 0.000 0.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.2530 0.67409 0.896 0.004 0.000 0.100
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 2 0.5879 0.49770 0.248 0.672 0.000 0.080
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 3 0.2760 0.84388 0.000 0.128 0.872 0.000
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.4955 0.25058 0.000 0.556 0.000 0.444
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.4817 0.05695 0.612 0.000 0.000 0.388
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 1 0.6495 0.38123 0.608 0.108 0.000 0.284
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.0657 0.72106 0.004 0.984 0.000 0.012
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.4454 0.28244 0.692 0.000 0.000 0.308
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.4981 0.22170 0.000 0.536 0.000 0.464
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 3 0.5295 0.15972 0.000 0.488 0.504 0.008
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 2 0.7366 0.28627 0.252 0.524 0.000 0.224
#> DD292494-92A2-43CB-B59B-726B2F429B29 2 0.5708 0.59288 0.160 0.716 0.000 0.124
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.4989 0.02566 0.528 0.000 0.000 0.472
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 1 0.4837 0.43336 0.648 0.004 0.000 0.348
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 2 0.7762 0.43158 0.220 0.576 0.040 0.164
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 4 0.6383 0.06400 0.000 0.356 0.076 0.568
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 1 0.2714 0.66996 0.884 0.004 0.000 0.112
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.5119 0.51969 0.764 0.000 0.112 0.124
#> 74CF740D-201D-4070-99B9-F007E7C4D472 4 0.3569 0.45317 0.196 0.000 0.000 0.804
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 2 0.4989 0.21059 0.000 0.528 0.000 0.472
#> 78F28873-E471-497A-9405-FB8955808599 3 0.2760 0.84388 0.000 0.128 0.872 0.000
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.0524 0.72131 0.004 0.988 0.008 0.000
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.0188 0.72130 0.004 0.996 0.000 0.000
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 4 0.5917 0.23180 0.056 0.320 0.000 0.624
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 5 0.4291 0.376116 0.000 0.000 0.464 0.000 0.536
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.0912 0.566107 0.972 0.000 0.012 0.016 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 1 0.6445 0.237604 0.456 0.000 0.360 0.184 0.000
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.2719 0.553946 0.884 0.000 0.068 0.048 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.0865 0.570315 0.972 0.000 0.004 0.024 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.5329 0.349004 0.656 0.000 0.108 0.236 0.000
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.2751 0.661748 0.004 0.888 0.000 0.052 0.056
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.4520 0.340789 0.000 0.684 0.032 0.284 0.000
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.6155 0.178322 0.516 0.000 0.148 0.336 0.000
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 4 0.6705 0.028113 0.320 0.000 0.260 0.420 0.000
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 4 0.7156 0.353199 0.128 0.152 0.148 0.572 0.000
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 5 0.5736 0.135563 0.000 0.400 0.000 0.088 0.512
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.5195 0.373223 0.676 0.000 0.108 0.216 0.000
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 1 0.6462 0.237146 0.456 0.000 0.356 0.188 0.000
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.5618 0.283951 0.608 0.000 0.112 0.280 0.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 5 0.0162 0.782845 0.000 0.004 0.000 0.000 0.996
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 4 0.5142 0.169775 0.000 0.244 0.088 0.668 0.000
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 4 0.4537 0.128621 0.000 0.396 0.012 0.592 0.000
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.0703 0.569638 0.976 0.000 0.000 0.024 0.000
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.4312 0.464812 0.772 0.000 0.104 0.124 0.000
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 4 0.4761 0.389945 0.000 0.104 0.168 0.728 0.000
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 2 0.1877 0.670023 0.000 0.924 0.000 0.012 0.064
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 4 0.6627 0.174735 0.244 0.000 0.308 0.448 0.000
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 1 0.3123 0.438945 0.812 0.000 0.184 0.004 0.000
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 4 0.8348 0.012991 0.140 0.288 0.244 0.328 0.000
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 1 0.6021 0.312824 0.580 0.000 0.188 0.232 0.000
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.1836 0.565050 0.932 0.000 0.032 0.036 0.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 1 0.4985 0.467180 0.680 0.000 0.244 0.076 0.000
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.4930 0.148642 0.000 0.580 0.032 0.388 0.000
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 5 0.0162 0.782845 0.000 0.004 0.000 0.000 0.996
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 4 0.4527 0.138343 0.000 0.392 0.012 0.596 0.000
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.0798 0.681038 0.000 0.976 0.000 0.008 0.016
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.1211 0.569151 0.960 0.000 0.016 0.024 0.000
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 2 0.4192 0.601239 0.004 0.784 0.000 0.144 0.068
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 2 0.7863 0.216458 0.124 0.460 0.236 0.180 0.000
#> BE56F908-42DD-4019-A8AC-48884DA788B1 4 0.8413 -0.008703 0.124 0.300 0.252 0.320 0.004
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 4 0.5729 0.175325 0.000 0.300 0.004 0.596 0.100
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 3 0.7249 -0.087995 0.268 0.024 0.416 0.292 0.000
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 1 0.5759 0.379413 0.568 0.000 0.324 0.108 0.000
#> 791D9EB8-42E0-4192-B064-B1126CA14481 4 0.4375 0.094411 0.000 0.420 0.004 0.576 0.000
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 2 0.2629 0.636112 0.000 0.860 0.000 0.004 0.136
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 2 0.1059 0.680979 0.004 0.968 0.000 0.008 0.020
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.5102 0.388339 0.684 0.000 0.100 0.216 0.000
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.2782 0.552647 0.880 0.000 0.072 0.048 0.000
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 5 0.4302 0.344988 0.000 0.000 0.480 0.000 0.520
#> D47C7B74-BB01-4614-B683-652F7130729C 2 0.2464 0.657621 0.004 0.892 0.000 0.012 0.092
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 4 0.6010 0.154202 0.204 0.000 0.212 0.584 0.000
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 4 0.7642 0.022695 0.072 0.272 0.208 0.448 0.000
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.1211 0.568597 0.960 0.000 0.016 0.024 0.000
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.1522 0.675378 0.000 0.944 0.000 0.044 0.012
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.0451 0.570729 0.988 0.000 0.004 0.008 0.000
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 1 0.7344 0.124688 0.380 0.028 0.252 0.340 0.000
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 2 0.2773 0.596104 0.000 0.836 0.000 0.164 0.000
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 5 0.3242 0.600182 0.000 0.216 0.000 0.000 0.784
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 1 0.4443 0.112498 0.524 0.000 0.472 0.004 0.000
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 1 0.5419 0.434538 0.712 0.032 0.156 0.100 0.000
#> 58F11B66-AE40-417E-B465-811C6CF7311C 1 0.7605 0.190334 0.460 0.076 0.192 0.272 0.000
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.5472 0.315094 0.632 0.000 0.108 0.260 0.000
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 2 0.8397 0.228353 0.092 0.432 0.160 0.280 0.036
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 2 0.7049 0.344271 0.032 0.532 0.144 0.280 0.012
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 2 0.1851 0.643045 0.000 0.912 0.000 0.088 0.000
#> 739952C6-FF36-4E34-B881-E02FE17C4012 1 0.5873 0.188653 0.540 0.000 0.112 0.348 0.000
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 1 0.5382 0.333199 0.644 0.000 0.104 0.252 0.000
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 2 0.1913 0.674222 0.008 0.932 0.000 0.044 0.016
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 4 0.5391 0.358821 0.116 0.000 0.232 0.652 0.000
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 1 0.4735 0.457846 0.680 0.000 0.272 0.048 0.000
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 1 0.0794 0.568775 0.972 0.000 0.000 0.028 0.000
#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 1 0.6221 0.354434 0.528 0.000 0.300 0.172 0.000
#> F6B26185-139B-47A7-91EC-E885D94AC882 4 0.4949 0.357975 0.056 0.000 0.288 0.656 0.000
#> 81F30B6F-3E9A-4913-986B-C56D5F107A17 4 0.5353 0.384066 0.000 0.156 0.156 0.684 0.004
#> 2CCB3AE1-0D27-4493-B7AE-67C60BBC1C38 5 0.0162 0.782845 0.000 0.004 0.000 0.000 0.996
#> 329665BC-B959-47C5-B831-5546F94EDAC1 4 0.4101 0.227979 0.000 0.332 0.004 0.664 0.000
#> 8D4335F6-6ACB-4E38-B9F2-A2B5B647AE90 1 0.4150 0.514292 0.788 0.004 0.068 0.140 0.000
#> D181D0D8-FD8C-4259-9B34-97224CF27E1B 4 0.4305 -0.070164 0.000 0.488 0.000 0.512 0.000
#> C0C10950-ABC5-4125-A33E-5AFA2D2574B0 2 0.1626 0.675885 0.000 0.940 0.000 0.016 0.044
#> 834D12DB-0925-422C-B15B-20A60A5F658C 4 0.4278 0.036642 0.000 0.452 0.000 0.548 0.000
#> 50314689-519F-4B27-884C-7816DD64CF4E 1 0.2153 0.562110 0.916 0.000 0.040 0.044 0.000
#> 2502A23E-E168-4A78-9C14-B93FBC9715B1 1 0.4484 0.296579 0.668 0.000 0.308 0.024 0.000
#> 3F8D01A3-5449-48A1-BDBA-BFE4D908AE31 2 0.8464 0.120144 0.092 0.368 0.228 0.292 0.020
#> 1C47A87B-C033-4705-B903-DB33B8C6EC34 4 0.6458 0.108360 0.224 0.000 0.280 0.496 0.000
#> 1329E1C1-743E-4541-9081-165572D4BF47 2 0.6791 0.298060 0.032 0.464 0.124 0.380 0.000
#> 1F3F8680-EEB6-4532-B81D-51957D1EA502 1 0.5717 0.238130 0.572 0.000 0.104 0.324 0.000
#> 50F69785-8B7A-4933-85B1-8DC539ACC72A 1 0.5618 0.283951 0.608 0.000 0.112 0.280 0.000
#> 9095FDD8-EEB2-4B17-85AB-3CDAC0BEC759 1 0.6546 0.202111 0.428 0.008 0.412 0.152 0.000
#> B6BF8C22-03E4-44F0-B2EF-2A3DD6ADE7D7 1 0.5873 0.195899 0.540 0.000 0.112 0.348 0.000
#> D6A907FC-3A1B-4E3B-A440-1CE9BE9B334B 2 0.2804 0.664648 0.012 0.880 0.000 0.092 0.016
#> 02588D5D-89CB-4D0B-9E96-A0270C3FF866 2 0.2648 0.606125 0.000 0.848 0.000 0.152 0.000
#> D50BBFC7-7774-4B12-938C-8D5373C12DFC 2 0.2264 0.669159 0.004 0.912 0.000 0.024 0.060
#> 6E930060-502B-49F5-A385-9B91DEBD05E4 1 0.0703 0.569638 0.976 0.000 0.000 0.024 0.000
#> F6606A8E-ACC6-4826-9547-E0017521724D 4 0.6273 0.274340 0.172 0.000 0.316 0.512 0.000
#> 981584D3-10DB-455C-8132-E8E5F44E1222 4 0.4383 0.088177 0.000 0.424 0.004 0.572 0.000
#> 47F6E197-7164-4289-95B5-8FD305A13B4C 1 0.5996 0.155263 0.512 0.000 0.120 0.368 0.000
#> 4522D871-9379-4643-B15E-9ACB556276C4 1 0.5512 0.431524 0.632 0.008 0.280 0.080 0.000
#> 7560B2B5-6AF5-4600-9F0A-BE25CF99B6B9 4 0.5500 0.346409 0.140 0.000 0.212 0.648 0.000
#> 38F5957E-0A99-432D-8F0B-B48E03F17668 1 0.0955 0.567934 0.968 0.000 0.004 0.028 0.000
#> 7A6BBBE6-2B3B-44EB-A101-C823739AB24F 2 0.0404 0.677892 0.000 0.988 0.000 0.012 0.000
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#> CAD6E491-88FB-4221-90E9-AC9C68AECCB0 1 0.7279 0.161192 0.404 0.024 0.292 0.280 0.000
#> 15EFBC5B-C713-4718-BB6F-0EBBE4D6997F 2 0.3391 0.648779 0.024 0.852 0.024 0.100 0.000
#> BBA00038-09B1-461D-9F8E-484890B0D130 1 0.7704 0.125663 0.380 0.068 0.352 0.200 0.000
#> 16EBB885-A692-42A6-9027-F6AD769E0ABB 1 0.3690 0.508214 0.780 0.000 0.200 0.020 0.000
#> 2D57E24B-97A6-4B85-BC8F-3E02DDC6C460 2 0.4059 0.592770 0.000 0.776 0.000 0.052 0.172
#> C6E39F86-9DEF-4BCA-930B-2A3993D18901 2 0.3837 0.467589 0.000 0.692 0.000 0.308 0.000
#> 5BE4D8E9-DA18-426F-8AE6-075B15010390 4 0.6804 0.062534 0.300 0.000 0.332 0.368 0.000
#> 8E9CAAC7-31D3-473C-821C-2DAD37B44D3A 2 0.0798 0.681038 0.000 0.976 0.000 0.008 0.016
#> 368CFCA3-7BAB-4D6D-9AE1-55713A9965C1 3 0.5447 0.322943 0.176 0.000 0.696 0.020 0.108
#> 14DB79EF-DE2B-4197-AD32-F657E0655FCD 2 0.6534 0.315331 0.008 0.480 0.160 0.352 0.000
#> E73BCFCB-C5FE-4BF2-A236-B9E69711C121 1 0.7328 0.150744 0.396 0.028 0.324 0.252 0.000
#> CDAFAFEA-365B-4F25-AEC0-639B6E0CB626 4 0.8445 0.018892 0.136 0.280 0.240 0.340 0.004
#> 48A2AAEB-7F60-4284-808E-2058A531B17C 2 0.0880 0.673769 0.000 0.968 0.000 0.032 0.000
#> D4276C6F-9F0F-4F74-A85E-1E54272ADDED 2 0.0771 0.681885 0.004 0.976 0.000 0.000 0.020
#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 2 0.1478 0.666153 0.000 0.936 0.000 0.064 0.000
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 2 0.6541 0.403606 0.044 0.588 0.124 0.244 0.000
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 5 0.0162 0.778300 0.000 0.000 0.004 0.000 0.996
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 1 0.5666 0.259034 0.592 0.000 0.108 0.300 0.000
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 3 0.5312 0.324386 0.188 0.000 0.700 0.016 0.096
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 4 0.4612 0.360404 0.180 0.000 0.084 0.736 0.000
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 1 0.0671 0.570656 0.980 0.000 0.016 0.004 0.000
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 4 0.6696 -0.008350 0.292 0.004 0.236 0.468 0.000
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 4 0.4486 0.275407 0.012 0.288 0.012 0.688 0.000
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 2 0.6417 0.450720 0.020 0.616 0.104 0.240 0.020
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 2 0.2329 0.622933 0.000 0.876 0.000 0.124 0.000
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 1 0.6408 0.279521 0.508 0.000 0.272 0.220 0.000
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 2 0.3480 0.527782 0.000 0.752 0.000 0.248 0.000
#> C7997523-47CF-40F0-8803-AB873E38033C 4 0.4383 0.088177 0.000 0.424 0.004 0.572 0.000
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 2 0.4583 0.512478 0.004 0.704 0.000 0.036 0.256
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 5 0.0162 0.782845 0.000 0.004 0.000 0.000 0.996
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 3 0.4449 0.085352 0.484 0.000 0.512 0.000 0.004
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 1 0.3532 0.496088 0.824 0.000 0.048 0.128 0.000
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 2 0.3622 0.626993 0.000 0.832 0.004 0.096 0.068
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 2 0.4775 0.581062 0.028 0.768 0.100 0.104 0.000
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 3 0.4307 -0.335017 0.000 0.000 0.500 0.000 0.500
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 4 0.4273 0.043871 0.000 0.448 0.000 0.552 0.000
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 1 0.5391 0.422569 0.616 0.000 0.300 0.084 0.000
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.1549 0.557212 0.944 0.000 0.016 0.040 0.000
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 1 0.6743 0.246282 0.464 0.020 0.368 0.148 0.000
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 1 0.6756 0.037360 0.388 0.000 0.268 0.344 0.000
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 2 0.6452 0.224969 0.000 0.528 0.112 0.024 0.336
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 4 0.8552 -0.011485 0.124 0.288 0.232 0.344 0.012
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 2 0.0771 0.681885 0.004 0.976 0.000 0.000 0.020
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 2 0.0671 0.681365 0.016 0.980 0.000 0.004 0.000
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.5449 0.313047 0.632 0.000 0.104 0.264 0.000
#> E15EAAB4-0860-4716-9922-667F604CDF12 1 0.6418 0.287346 0.496 0.008 0.352 0.144 0.000
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 4 0.4655 0.129113 0.000 0.384 0.004 0.600 0.012
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 1 0.6476 0.244169 0.460 0.008 0.388 0.144 0.000
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 3 0.7906 0.135602 0.056 0.004 0.340 0.308 0.292
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.1399 0.568774 0.952 0.000 0.028 0.020 0.000
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 2 0.0671 0.681484 0.000 0.980 0.000 0.004 0.016
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 2 0.0703 0.674926 0.000 0.976 0.000 0.024 0.000
#> E2A4C651-977F-4F40-B5EC-46DF75944141 4 0.6751 0.105696 0.296 0.000 0.296 0.408 0.000
#> 433599CC-9DF5-4494-A607-8079FFE74D95 2 0.8600 0.284971 0.092 0.460 0.144 0.232 0.072
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 2 0.7491 0.402570 0.008 0.512 0.096 0.272 0.112
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 5 0.0162 0.782845 0.000 0.004 0.000 0.000 0.996
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.1915 0.564074 0.928 0.000 0.032 0.040 0.000
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 1 0.7921 0.071341 0.340 0.076 0.336 0.248 0.000
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 4 0.6808 0.056738 0.308 0.000 0.324 0.368 0.000
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 5 0.4291 0.376116 0.000 0.000 0.464 0.000 0.536
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 5 0.0162 0.782845 0.000 0.004 0.000 0.000 0.996
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 5 0.0162 0.782845 0.000 0.004 0.000 0.000 0.996
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.0290 0.680290 0.000 0.992 0.000 0.008 0.000
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 4 0.8305 -0.074581 0.280 0.124 0.292 0.304 0.000
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.0771 0.681885 0.004 0.976 0.000 0.000 0.020
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.5939 0.190002 0.536 0.000 0.120 0.344 0.000
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 5 0.0162 0.782845 0.000 0.004 0.000 0.000 0.996
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.2104 0.567337 0.916 0.000 0.060 0.024 0.000
#> 057B580C-13FD-4185-943C-9DD5266B8554 1 0.6382 0.375188 0.568 0.032 0.296 0.104 0.000
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 1 0.6301 0.356819 0.548 0.008 0.292 0.152 0.000
#> 287F3696-25CF-4E67-A934-E50856AD4790 2 0.4743 0.037700 0.000 0.512 0.000 0.016 0.472
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.2280 0.634738 0.000 0.880 0.000 0.120 0.000
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 4 0.5600 0.315354 0.096 0.000 0.316 0.588 0.000
#> B80A74AB-A264-4396-93F8-FD976DBC1456 5 0.0162 0.782845 0.000 0.004 0.000 0.000 0.996
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.2445 0.662901 0.020 0.908 0.000 0.056 0.016
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.2370 0.560299 0.904 0.000 0.056 0.040 0.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.5059 0.456774 0.668 0.000 0.256 0.076 0.000
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 2 0.6275 0.425644 0.128 0.632 0.044 0.196 0.000
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 5 0.0162 0.782845 0.000 0.004 0.000 0.000 0.996
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 4 0.4294 -0.000745 0.000 0.468 0.000 0.532 0.000
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.5771 0.234671 0.572 0.000 0.112 0.316 0.000
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 1 0.7789 0.104324 0.364 0.064 0.328 0.244 0.000
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.0693 0.680768 0.000 0.980 0.000 0.008 0.012
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.5250 0.366974 0.668 0.000 0.108 0.224 0.000
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 4 0.4256 0.067805 0.000 0.436 0.000 0.564 0.000
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 5 0.5707 0.453760 0.000 0.256 0.060 0.036 0.648
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 2 0.8339 0.062851 0.148 0.356 0.248 0.248 0.000
#> DD292494-92A2-43CB-B59B-726B2F429B29 2 0.7388 0.304221 0.072 0.484 0.156 0.288 0.000
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.6802 0.090846 0.368 0.000 0.336 0.296 0.000
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 1 0.6748 0.127970 0.372 0.000 0.260 0.368 0.000
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 2 0.8213 0.159910 0.136 0.412 0.184 0.264 0.004
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 4 0.6380 0.336224 0.000 0.220 0.144 0.604 0.032
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 1 0.5551 0.421994 0.624 0.008 0.288 0.080 0.000
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.3209 0.441711 0.812 0.000 0.180 0.008 0.000
#> 74CF740D-201D-4070-99B9-F007E7C4D472 4 0.6134 0.284219 0.144 0.000 0.340 0.516 0.000
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 4 0.4359 0.109713 0.000 0.412 0.004 0.584 0.000
#> 78F28873-E471-497A-9405-FB8955808599 5 0.0162 0.782845 0.000 0.004 0.000 0.000 0.996
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.0671 0.682035 0.004 0.980 0.000 0.000 0.016
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.0290 0.678723 0.000 0.992 0.000 0.008 0.000
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 4 0.6403 0.293026 0.024 0.216 0.168 0.592 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.5826 -0.05293 0.000 0.000 0.448 0.008 0.400 0.144
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.0146 0.69600 0.996 0.000 0.000 0.000 0.000 0.004
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 4 0.5577 0.46031 0.212 0.000 0.004 0.572 0.000 0.212
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.1588 0.68470 0.924 0.000 0.004 0.072 0.000 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.0146 0.69784 0.996 0.000 0.000 0.004 0.000 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.3634 0.28266 0.644 0.000 0.000 0.000 0.000 0.356
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.1116 0.72724 0.000 0.960 0.004 0.028 0.008 0.000
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.6194 0.40113 0.000 0.596 0.104 0.128 0.000 0.172
#> 18971368-40F0-42D3-B1A3-707850C53B18 6 0.4519 0.31644 0.384 0.000 0.008 0.024 0.000 0.584
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 4 0.5811 0.22102 0.292 0.000 0.004 0.512 0.000 0.192
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 6 0.6983 0.37732 0.052 0.152 0.036 0.252 0.000 0.508
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 5 0.5696 0.02317 0.000 0.440 0.036 0.048 0.468 0.008
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.3795 0.25835 0.632 0.000 0.000 0.004 0.000 0.364
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 4 0.5309 0.48161 0.228 0.000 0.000 0.596 0.000 0.176
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.3967 0.25054 0.632 0.000 0.000 0.012 0.000 0.356
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 5 0.0000 0.91588 0.000 0.000 0.000 0.000 1.000 0.000
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 3 0.5551 0.22531 0.000 0.024 0.484 0.420 0.000 0.072
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 3 0.6702 0.44176 0.000 0.128 0.532 0.160 0.000 0.180
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.0000 0.69713 1.000 0.000 0.000 0.000 0.000 0.000
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.3076 0.46777 0.760 0.000 0.000 0.000 0.000 0.240
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 6 0.5747 0.35851 0.000 0.024 0.092 0.420 0.000 0.464
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 2 0.1015 0.73575 0.000 0.968 0.004 0.012 0.012 0.004
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 6 0.4462 0.62952 0.120 0.000 0.036 0.088 0.000 0.756
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 1 0.2555 0.63262 0.876 0.000 0.096 0.008 0.000 0.020
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 4 0.4214 0.59379 0.032 0.200 0.000 0.740 0.000 0.028
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 4 0.4277 0.45286 0.356 0.000 0.000 0.616 0.000 0.028
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.0713 0.69674 0.972 0.000 0.000 0.028 0.000 0.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 1 0.5487 0.39762 0.600 0.000 0.008 0.184 0.000 0.208
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.6690 0.27935 0.000 0.516 0.136 0.112 0.000 0.236
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 5 0.0146 0.91545 0.000 0.000 0.000 0.004 0.996 0.000
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 3 0.6709 0.44064 0.000 0.132 0.532 0.160 0.000 0.176
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.0696 0.73973 0.000 0.980 0.008 0.004 0.004 0.004
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.0458 0.69818 0.984 0.000 0.000 0.016 0.000 0.000
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 2 0.2851 0.63335 0.000 0.844 0.004 0.132 0.020 0.000
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 4 0.7704 0.40592 0.144 0.280 0.104 0.424 0.000 0.048
#> BE56F908-42DD-4019-A8AC-48884DA788B1 4 0.3845 0.58725 0.012 0.204 0.000 0.756 0.000 0.028
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 3 0.7240 0.42513 0.000 0.064 0.524 0.156 0.064 0.192
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 4 0.5166 0.42381 0.060 0.016 0.004 0.604 0.000 0.316
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 1 0.6216 0.11819 0.416 0.000 0.008 0.244 0.000 0.332
#> 791D9EB8-42E0-4192-B064-B1126CA14481 3 0.6712 0.43720 0.000 0.136 0.532 0.156 0.000 0.176
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 2 0.1082 0.72939 0.000 0.956 0.000 0.004 0.040 0.000
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 2 0.0893 0.73759 0.000 0.972 0.004 0.016 0.004 0.004
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.3330 0.40291 0.716 0.000 0.000 0.000 0.000 0.284
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.1908 0.67445 0.900 0.000 0.004 0.096 0.000 0.000
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 3 0.6007 -0.02231 0.000 0.000 0.452 0.012 0.372 0.164
#> D47C7B74-BB01-4614-B683-652F7130729C 2 0.1109 0.73381 0.000 0.964 0.004 0.016 0.012 0.004
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#> CAF246CF-659B-4C64-B0AA-125B11D23E43 4 0.6121 0.55164 0.192 0.040 0.024 0.616 0.000 0.128
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.0405 0.73958 0.000 0.988 0.008 0.000 0.000 0.004
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.3695 0.24186 0.624 0.000 0.000 0.000 0.000 0.376
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 3 0.6721 0.43045 0.000 0.144 0.532 0.156 0.000 0.168
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 5 0.4513 0.60569 0.000 0.172 0.000 0.124 0.704 0.000
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 4 0.5681 0.48272 0.032 0.340 0.008 0.556 0.000 0.064
#> DD292494-92A2-43CB-B59B-726B2F429B29 4 0.6728 0.18738 0.028 0.220 0.344 0.400 0.000 0.008
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 6 0.4513 0.52143 0.212 0.000 0.004 0.084 0.000 0.700
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 4 0.4662 0.55301 0.168 0.000 0.016 0.716 0.000 0.100
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 4 0.4768 0.30784 0.004 0.440 0.016 0.524 0.000 0.016
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 6 0.6658 0.28120 0.000 0.192 0.028 0.284 0.016 0.480
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 1 0.5724 0.34341 0.552 0.000 0.008 0.180 0.000 0.260
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.2454 0.63637 0.884 0.000 0.088 0.008 0.000 0.020
#> 74CF740D-201D-4070-99B9-F007E7C4D472 6 0.3832 0.57930 0.020 0.000 0.108 0.072 0.000 0.800
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 3 0.6725 0.44235 0.000 0.128 0.528 0.160 0.000 0.184
#> 78F28873-E471-497A-9405-FB8955808599 5 0.0146 0.91545 0.000 0.000 0.000 0.004 0.996 0.000
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.0146 0.73982 0.000 0.996 0.000 0.000 0.004 0.000
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.0405 0.73958 0.000 0.988 0.008 0.000 0.000 0.004
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 4 0.5987 0.20763 0.016 0.060 0.124 0.640 0.000 0.160
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 17397 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 0.971 0.961 0.984 0.5014 0.499 0.499
#> 3 3 0.605 0.744 0.867 0.3082 0.790 0.604
#> 4 4 0.576 0.293 0.619 0.1272 0.758 0.431
#> 5 5 0.617 0.473 0.691 0.0717 0.800 0.401
#> 6 6 0.708 0.605 0.768 0.0429 0.890 0.555
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
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 2 0.0000 0.9843 0.000 1.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.0000 0.9817 1.000 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 1 0.0000 0.9817 1.000 0.000
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.0000 0.9817 1.000 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.0000 0.9817 1.000 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.0000 0.9817 1.000 0.000
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.0000 0.9843 0.000 1.000
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.0000 0.9843 0.000 1.000
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.0000 0.9817 1.000 0.000
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 1 0.0000 0.9817 1.000 0.000
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 1 0.5294 0.8591 0.880 0.120
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 2 0.0000 0.9843 0.000 1.000
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.0000 0.9817 1.000 0.000
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 1 0.0000 0.9817 1.000 0.000
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.0000 0.9817 1.000 0.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 2 0.0000 0.9843 0.000 1.000
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 2 0.0376 0.9810 0.004 0.996
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 1 0.3274 0.9255 0.940 0.060
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.0000 0.9817 1.000 0.000
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.0000 0.9817 1.000 0.000
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 2 0.0000 0.9843 0.000 1.000
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 2 0.0000 0.9843 0.000 1.000
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 1 0.0000 0.9817 1.000 0.000
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 1 0.0000 0.9817 1.000 0.000
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 2 0.1184 0.9704 0.016 0.984
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 1 0.0000 0.9817 1.000 0.000
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.0000 0.9817 1.000 0.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 1 0.0000 0.9817 1.000 0.000
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.0000 0.9843 0.000 1.000
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 2 0.0000 0.9843 0.000 1.000
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 1 0.0000 0.9817 1.000 0.000
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.0000 0.9843 0.000 1.000
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.0000 0.9817 1.000 0.000
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 2 0.0000 0.9843 0.000 1.000
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 1 0.9988 0.0763 0.520 0.480
#> BE56F908-42DD-4019-A8AC-48884DA788B1 2 0.0000 0.9843 0.000 1.000
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 2 0.0000 0.9843 0.000 1.000
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 1 0.0000 0.9817 1.000 0.000
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 1 0.0000 0.9817 1.000 0.000
#> 791D9EB8-42E0-4192-B064-B1126CA14481 2 0.0000 0.9843 0.000 1.000
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 2 0.0000 0.9843 0.000 1.000
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 2 0.0000 0.9843 0.000 1.000
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.0000 0.9817 1.000 0.000
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.0000 0.9817 1.000 0.000
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 2 0.0000 0.9843 0.000 1.000
#> D47C7B74-BB01-4614-B683-652F7130729C 2 0.0000 0.9843 0.000 1.000
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 1 0.0000 0.9817 1.000 0.000
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 2 0.8267 0.6524 0.260 0.740
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.0000 0.9817 1.000 0.000
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.0000 0.9843 0.000 1.000
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.0000 0.9817 1.000 0.000
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 1 0.0000 0.9817 1.000 0.000
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 2 0.0000 0.9843 0.000 1.000
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 2 0.0000 0.9843 0.000 1.000
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 1 0.0000 0.9817 1.000 0.000
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 1 0.0000 0.9817 1.000 0.000
#> 58F11B66-AE40-417E-B465-811C6CF7311C 1 0.0000 0.9817 1.000 0.000
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.0000 0.9817 1.000 0.000
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 2 0.0000 0.9843 0.000 1.000
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 2 0.0000 0.9843 0.000 1.000
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 2 0.0000 0.9843 0.000 1.000
#> 739952C6-FF36-4E34-B881-E02FE17C4012 1 0.0000 0.9817 1.000 0.000
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 1 0.0000 0.9817 1.000 0.000
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 2 0.0000 0.9843 0.000 1.000
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 1 0.0000 0.9817 1.000 0.000
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 1 0.0000 0.9817 1.000 0.000
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 1 0.0000 0.9817 1.000 0.000
#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 1 0.0000 0.9817 1.000 0.000
#> F6B26185-139B-47A7-91EC-E885D94AC882 1 0.0672 0.9749 0.992 0.008
#> 81F30B6F-3E9A-4913-986B-C56D5F107A17 2 0.7219 0.7511 0.200 0.800
#> 2CCB3AE1-0D27-4493-B7AE-67C60BBC1C38 2 0.0000 0.9843 0.000 1.000
#> 329665BC-B959-47C5-B831-5546F94EDAC1 2 0.1633 0.9628 0.024 0.976
#> 8D4335F6-6ACB-4E38-B9F2-A2B5B647AE90 1 0.0000 0.9817 1.000 0.000
#> D181D0D8-FD8C-4259-9B34-97224CF27E1B 2 0.0000 0.9843 0.000 1.000
#> C0C10950-ABC5-4125-A33E-5AFA2D2574B0 2 0.0000 0.9843 0.000 1.000
#> 834D12DB-0925-422C-B15B-20A60A5F658C 2 0.0000 0.9843 0.000 1.000
#> 50314689-519F-4B27-884C-7816DD64CF4E 1 0.0000 0.9817 1.000 0.000
#> 2502A23E-E168-4A78-9C14-B93FBC9715B1 1 0.0000 0.9817 1.000 0.000
#> 3F8D01A3-5449-48A1-BDBA-BFE4D908AE31 2 0.0000 0.9843 0.000 1.000
#> 1C47A87B-C033-4705-B903-DB33B8C6EC34 1 0.0000 0.9817 1.000 0.000
#> 1329E1C1-743E-4541-9081-165572D4BF47 2 0.9170 0.5068 0.332 0.668
#> 1F3F8680-EEB6-4532-B81D-51957D1EA502 1 0.0000 0.9817 1.000 0.000
#> 50F69785-8B7A-4933-85B1-8DC539ACC72A 1 0.0000 0.9817 1.000 0.000
#> 9095FDD8-EEB2-4B17-85AB-3CDAC0BEC759 1 0.0000 0.9817 1.000 0.000
#> B6BF8C22-03E4-44F0-B2EF-2A3DD6ADE7D7 1 0.0000 0.9817 1.000 0.000
#> D6A907FC-3A1B-4E3B-A440-1CE9BE9B334B 2 0.0000 0.9843 0.000 1.000
#> 02588D5D-89CB-4D0B-9E96-A0270C3FF866 2 0.0000 0.9843 0.000 1.000
#> D50BBFC7-7774-4B12-938C-8D5373C12DFC 2 0.0000 0.9843 0.000 1.000
#> 6E930060-502B-49F5-A385-9B91DEBD05E4 1 0.0000 0.9817 1.000 0.000
#> F6606A8E-ACC6-4826-9547-E0017521724D 1 0.0000 0.9817 1.000 0.000
#> 981584D3-10DB-455C-8132-E8E5F44E1222 2 0.0000 0.9843 0.000 1.000
#> 47F6E197-7164-4289-95B5-8FD305A13B4C 1 0.0000 0.9817 1.000 0.000
#> 4522D871-9379-4643-B15E-9ACB556276C4 1 0.0000 0.9817 1.000 0.000
#> 7560B2B5-6AF5-4600-9F0A-BE25CF99B6B9 1 0.0000 0.9817 1.000 0.000
#> 38F5957E-0A99-432D-8F0B-B48E03F17668 1 0.0000 0.9817 1.000 0.000
#> 7A6BBBE6-2B3B-44EB-A101-C823739AB24F 2 0.0000 0.9843 0.000 1.000
#> 0782D25A-3B14-499E-A40C-3852B3A15B8B 2 0.0000 0.9843 0.000 1.000
#> 31D4B639-D1E5-479B-AEC2-34F758F2E470 1 0.0000 0.9817 1.000 0.000
#> C49078E1-E730-4E81-8EAE-5AAAB9FA1BF5 2 0.0000 0.9843 0.000 1.000
#> 48BCD3B8-917F-4E8F-BCEA-1363570A6486 1 0.2948 0.9337 0.948 0.052
#> F3BA6259-9F68-47D0-ABDD-1272AE112CAB 2 0.0000 0.9843 0.000 1.000
#> 3CA49BB1-30F6-47F3-A751-D5601E16BDBA 2 0.0000 0.9843 0.000 1.000
#> 47747595-686A-46B5-9EF4-A4CFB85D746D 1 0.7528 0.7282 0.784 0.216
#> 87974EFF-C2DE-4930-93E3-015E6D996440 2 0.0000 0.9843 0.000 1.000
#> 7D272E6C-826D-4D02-8383-6A3D5BBF3A5F 2 0.0000 0.9843 0.000 1.000
#> 070E540B-34DB-4016-B573-84924407F57F 1 0.0000 0.9817 1.000 0.000
#> 63F4281A-4D90-4589-879E-549097FB3459 1 0.0000 0.9817 1.000 0.000
#> 93A66EA0-0C74-4342-8140-72ECB01F99A1 1 0.0000 0.9817 1.000 0.000
#> C92AD683-FD09-4DD2-A5A5-C72EA5DD9B46 1 0.0000 0.9817 1.000 0.000
#> 38D2BE9E-15D4-47BC-8FEB-55310F23825B 2 0.7602 0.7230 0.220 0.780
#> B3029936-1EEF-4378-AA28-D5B2A32CDC86 1 0.0000 0.9817 1.000 0.000
#> 9A33172F-AEEA-4B7D-9605-0C60D7872CEA 1 0.0000 0.9817 1.000 0.000
#> F2BC32E5-4117-468E-B637-9EDB6E9CC6C7 1 0.0000 0.9817 1.000 0.000
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#> 74CF740D-201D-4070-99B9-F007E7C4D472 1 0.0000 0.9817 1.000 0.000
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 2 0.0000 0.9843 0.000 1.000
#> 78F28873-E471-497A-9405-FB8955808599 2 0.0000 0.9843 0.000 1.000
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.0000 0.9843 0.000 1.000
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.0000 0.9843 0.000 1.000
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 1 0.0000 0.9817 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.0000 0.86127 0.000 0.000 1.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.0000 0.86190 1.000 0.000 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 1 0.0000 0.86190 1.000 0.000 0.000
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.0000 0.86190 1.000 0.000 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.0000 0.86190 1.000 0.000 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.4931 0.79834 0.768 0.232 0.000
#> 966A3A03-3879-4816-A1E9-D805F6018836 3 0.5988 0.23096 0.000 0.368 0.632
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.0000 0.78052 0.000 1.000 0.000
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.4931 0.79834 0.768 0.232 0.000
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 1 0.5254 0.77400 0.736 0.264 0.000
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 2 0.5968 0.10532 0.364 0.636 0.000
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 3 0.0000 0.86127 0.000 0.000 1.000
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.4931 0.79834 0.768 0.232 0.000
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 1 0.0000 0.86190 1.000 0.000 0.000
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.4931 0.79834 0.768 0.232 0.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 3 0.0000 0.86127 0.000 0.000 1.000
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 2 0.0000 0.78052 0.000 1.000 0.000
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 2 0.0000 0.78052 0.000 1.000 0.000
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.0000 0.86190 1.000 0.000 0.000
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.4555 0.81100 0.800 0.200 0.000
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 2 0.4555 0.63438 0.000 0.800 0.200
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 3 0.0000 0.86127 0.000 0.000 1.000
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 1 0.4974 0.79574 0.764 0.236 0.000
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 1 0.0000 0.86190 1.000 0.000 0.000
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 3 0.9601 0.15964 0.224 0.312 0.464
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 1 0.0000 0.86190 1.000 0.000 0.000
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.0000 0.86190 1.000 0.000 0.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 1 0.0000 0.86190 1.000 0.000 0.000
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.0000 0.78052 0.000 1.000 0.000
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 3 0.0000 0.86127 0.000 0.000 1.000
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 2 0.0000 0.78052 0.000 1.000 0.000
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.4931 0.74152 0.000 0.768 0.232
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.0000 0.86190 1.000 0.000 0.000
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 2 0.6305 0.34334 0.000 0.516 0.484
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 2 0.6225 0.37283 0.432 0.568 0.000
#> BE56F908-42DD-4019-A8AC-48884DA788B1 3 0.1163 0.84035 0.000 0.028 0.972
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 2 0.4555 0.63438 0.000 0.800 0.200
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 1 0.4605 0.80957 0.796 0.204 0.000
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 1 0.5882 0.38185 0.652 0.000 0.348
#> 791D9EB8-42E0-4192-B064-B1126CA14481 2 0.0000 0.78052 0.000 1.000 0.000
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 3 0.2878 0.78400 0.000 0.096 0.904
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 3 0.4291 0.67328 0.000 0.180 0.820
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.4931 0.79834 0.768 0.232 0.000
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.0000 0.86190 1.000 0.000 0.000
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 3 0.0000 0.86127 0.000 0.000 1.000
#> D47C7B74-BB01-4614-B683-652F7130729C 3 0.0000 0.86127 0.000 0.000 1.000
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 1 0.5431 0.75482 0.716 0.284 0.000
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 2 0.7211 0.65375 0.128 0.716 0.156
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.0000 0.86190 1.000 0.000 0.000
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.5254 0.71589 0.000 0.736 0.264
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.0000 0.86190 1.000 0.000 0.000
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 1 0.0000 0.86190 1.000 0.000 0.000
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 2 0.0000 0.78052 0.000 1.000 0.000
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 3 0.0000 0.86127 0.000 0.000 1.000
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 1 0.5178 0.57546 0.744 0.000 0.256
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 1 0.0000 0.86190 1.000 0.000 0.000
#> 58F11B66-AE40-417E-B465-811C6CF7311C 1 0.0000 0.86190 1.000 0.000 0.000
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.4931 0.79834 0.768 0.232 0.000
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 3 0.0000 0.86127 0.000 0.000 1.000
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 3 0.6295 -0.20504 0.000 0.472 0.528
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 2 0.4931 0.74152 0.000 0.768 0.232
#> 739952C6-FF36-4E34-B881-E02FE17C4012 1 0.4931 0.79834 0.768 0.232 0.000
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 1 0.4931 0.79834 0.768 0.232 0.000
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 2 0.5254 0.71589 0.000 0.736 0.264
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 1 0.5291 0.77031 0.732 0.268 0.000
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 1 0.0000 0.86190 1.000 0.000 0.000
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 1 0.0000 0.86190 1.000 0.000 0.000
#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 1 0.4555 0.81100 0.800 0.200 0.000
#> F6B26185-139B-47A7-91EC-E885D94AC882 1 0.8434 0.57636 0.560 0.336 0.104
#> 81F30B6F-3E9A-4913-986B-C56D5F107A17 2 0.4702 0.61978 0.000 0.788 0.212
#> 2CCB3AE1-0D27-4493-B7AE-67C60BBC1C38 3 0.0000 0.86127 0.000 0.000 1.000
#> 329665BC-B959-47C5-B831-5546F94EDAC1 2 0.0000 0.78052 0.000 1.000 0.000
#> 8D4335F6-6ACB-4E38-B9F2-A2B5B647AE90 1 0.4931 0.79834 0.768 0.232 0.000
#> D181D0D8-FD8C-4259-9B34-97224CF27E1B 2 0.0000 0.78052 0.000 1.000 0.000
#> C0C10950-ABC5-4125-A33E-5AFA2D2574B0 2 0.5363 0.70421 0.000 0.724 0.276
#> 834D12DB-0925-422C-B15B-20A60A5F658C 2 0.0000 0.78052 0.000 1.000 0.000
#> 50314689-519F-4B27-884C-7816DD64CF4E 1 0.0000 0.86190 1.000 0.000 0.000
#> 2502A23E-E168-4A78-9C14-B93FBC9715B1 1 0.4555 0.81100 0.800 0.200 0.000
#> 3F8D01A3-5449-48A1-BDBA-BFE4D908AE31 3 0.3340 0.74297 0.000 0.120 0.880
#> 1C47A87B-C033-4705-B903-DB33B8C6EC34 1 0.5254 0.77400 0.736 0.264 0.000
#> 1329E1C1-743E-4541-9081-165572D4BF47 2 0.4887 0.67205 0.228 0.772 0.000
#> 1F3F8680-EEB6-4532-B81D-51957D1EA502 1 0.4931 0.79834 0.768 0.232 0.000
#> 50F69785-8B7A-4933-85B1-8DC539ACC72A 1 0.4931 0.79834 0.768 0.232 0.000
#> 9095FDD8-EEB2-4B17-85AB-3CDAC0BEC759 3 0.5098 0.61399 0.248 0.000 0.752
#> B6BF8C22-03E4-44F0-B2EF-2A3DD6ADE7D7 1 0.4931 0.79834 0.768 0.232 0.000
#> D6A907FC-3A1B-4E3B-A440-1CE9BE9B334B 2 0.5988 0.56225 0.000 0.632 0.368
#> 02588D5D-89CB-4D0B-9E96-A0270C3FF866 2 0.0000 0.78052 0.000 1.000 0.000
#> D50BBFC7-7774-4B12-938C-8D5373C12DFC 3 0.6244 -0.09847 0.000 0.440 0.560
#> 6E930060-502B-49F5-A385-9B91DEBD05E4 1 0.0000 0.86190 1.000 0.000 0.000
#> F6606A8E-ACC6-4826-9547-E0017521724D 1 0.4931 0.79834 0.768 0.232 0.000
#> 981584D3-10DB-455C-8132-E8E5F44E1222 2 0.0000 0.78052 0.000 1.000 0.000
#> 47F6E197-7164-4289-95B5-8FD305A13B4C 1 0.4931 0.79834 0.768 0.232 0.000
#> 4522D871-9379-4643-B15E-9ACB556276C4 1 0.6280 0.04225 0.540 0.000 0.460
#> 7560B2B5-6AF5-4600-9F0A-BE25CF99B6B9 1 0.4931 0.79834 0.768 0.232 0.000
#> 38F5957E-0A99-432D-8F0B-B48E03F17668 1 0.0000 0.86190 1.000 0.000 0.000
#> 7A6BBBE6-2B3B-44EB-A101-C823739AB24F 2 0.4931 0.74152 0.000 0.768 0.232
#> 0782D25A-3B14-499E-A40C-3852B3A15B8B 2 0.4931 0.74152 0.000 0.768 0.232
#> 31D4B639-D1E5-479B-AEC2-34F758F2E470 1 0.5639 0.78994 0.752 0.232 0.016
#> C49078E1-E730-4E81-8EAE-5AAAB9FA1BF5 3 0.0000 0.86127 0.000 0.000 1.000
#> 48BCD3B8-917F-4E8F-BCEA-1363570A6486 2 0.0892 0.76867 0.020 0.980 0.000
#> F3BA6259-9F68-47D0-ABDD-1272AE112CAB 2 0.4931 0.74152 0.000 0.768 0.232
#> 3CA49BB1-30F6-47F3-A751-D5601E16BDBA 2 0.0000 0.78052 0.000 1.000 0.000
#> 47747595-686A-46B5-9EF4-A4CFB85D746D 3 0.5892 0.70035 0.100 0.104 0.796
#> 87974EFF-C2DE-4930-93E3-015E6D996440 3 0.0000 0.86127 0.000 0.000 1.000
#> 7D272E6C-826D-4D02-8383-6A3D5BBF3A5F 3 0.0000 0.86127 0.000 0.000 1.000
#> 070E540B-34DB-4016-B573-84924407F57F 1 0.4931 0.79834 0.768 0.232 0.000
#> 63F4281A-4D90-4589-879E-549097FB3459 1 0.4555 0.81100 0.800 0.200 0.000
#> 93A66EA0-0C74-4342-8140-72ECB01F99A1 3 0.9666 0.06782 0.316 0.232 0.452
#> C92AD683-FD09-4DD2-A5A5-C72EA5DD9B46 1 0.2066 0.82378 0.940 0.060 0.000
#> 38D2BE9E-15D4-47BC-8FEB-55310F23825B 2 0.4750 0.68170 0.216 0.784 0.000
#> B3029936-1EEF-4378-AA28-D5B2A32CDC86 1 0.4654 0.80827 0.792 0.208 0.000
#> 9A33172F-AEEA-4B7D-9605-0C60D7872CEA 1 0.4931 0.79834 0.768 0.232 0.000
#> F2BC32E5-4117-468E-B637-9EDB6E9CC6C7 1 0.9730 0.29174 0.428 0.232 0.340
#> EC319D0D-96C5-49DB-A2C4-BB6BFED6844F 1 0.0000 0.86190 1.000 0.000 0.000
#> 8CB71499-1B35-417D-95E1-D85CE71A2D8A 1 0.0000 0.86190 1.000 0.000 0.000
#> C5986AA8-D1C7-47BB-946F-1AE00503A444 2 0.4931 0.74152 0.000 0.768 0.232
#> CDB44ECD-3F01-4865-B4CC-5190E0FB64DC 1 0.0000 0.86190 1.000 0.000 0.000
#> 57633DCE-DC21-42AE-82EB-81F532CE9840 3 0.4062 0.68116 0.000 0.164 0.836
#> 715C1406-D224-466D-968E-46889824CD3D 1 0.6140 0.18556 0.596 0.404 0.000
#> 86A9A426-4B69-4572-9AFF-103C2724E5EA 1 0.0424 0.85809 0.992 0.000 0.008
#> A73A2348-FC50-42A5-ADF0-6647E5ECF0EA 1 0.0000 0.86190 1.000 0.000 0.000
#> 4BF75CF9-DA61-4A0B-940C-B09C7FE864F0 1 0.0000 0.86190 1.000 0.000 0.000
#> E3D18696-51D7-4BE3-A32B-3196E5F80438 1 0.4931 0.79834 0.768 0.232 0.000
#> C4C7C112-555F-46D5-8D5D-411C7737A4C9 3 0.5497 0.67736 0.148 0.048 0.804
#> 0A3E0A3D-D396-4340-8D98-4B79DBFC312C 2 0.4931 0.74152 0.000 0.768 0.232
#> 5513114D-2503-4D11-ADA4-35BE010510E5 1 0.8901 0.60113 0.572 0.232 0.196
#> EDDCFDBA-B3E7-4E3F-97CB-D017C9DC9EF7 1 0.0000 0.86190 1.000 0.000 0.000
#> 7046C2F2-A8DE-4AE1-B27D-094CF2EF3B3D 2 0.5291 0.71177 0.000 0.732 0.268
#> 6869ABAF-343B-4C9B-8975-B26A2C895123 2 0.1289 0.75910 0.032 0.968 0.000
#> EC0B4E94-0FD0-4DBE-8E1A-14DBB0E63772 3 0.3267 0.75363 0.000 0.116 0.884
#> 245967F0-EE1A-4B0C-BEE2-0283393DA722 1 0.0000 0.86190 1.000 0.000 0.000
#> 9E5162FF-4316-42B2-882F-9CDBE2193686 2 0.4931 0.74152 0.000 0.768 0.232
#> 64FCCF76-C73F-401D-974A-BBB4F1CBC8A0 3 0.1411 0.83431 0.000 0.036 0.964
#> 20152BF5-FA56-4B98-8F20-FFEE20F8B1CB 1 0.4931 0.79834 0.768 0.232 0.000
#> 1576BB97-F8EA-48FF-9494-EBC7A0C97312 2 0.6225 0.46334 0.000 0.568 0.432
#> 4405F995-AE79-46F9-BFEE-81CAECF42BAE 3 0.6225 0.29786 0.432 0.000 0.568
#> 681D8638-84E1-43B9-93A9-3189560D8611 1 0.4931 0.79834 0.768 0.232 0.000
#> 49B8F49B-1C21-4145-BCDC-403B3D37CCD5 1 0.0000 0.86190 1.000 0.000 0.000
#> C11294C4-9285-4BC2-B0F6-98054A63CF50 1 0.0000 0.86190 1.000 0.000 0.000
#> 688EFD86-95DA-4442-87F0-DBF9E6B549FD 3 0.0000 0.86127 0.000 0.000 1.000
#> F23B0A1A-25AE-41D9-8C49-B692C4FDE1E4 1 0.4931 0.79834 0.768 0.232 0.000
#> 1809618E-A051-4758-BC59-B04E23FB3A42 2 0.4931 0.74152 0.000 0.768 0.232
#> 9DD73399-620E-472C-8360-5565F91BBD3A 1 0.4931 0.79834 0.768 0.232 0.000
#> E85AE97F-43CF-4250-B2BF-63E6FA8044E8 3 0.9547 0.28437 0.292 0.228 0.480
#> D4E58BFB-9859-4D77-A581-1D713AA54B0B 3 0.5774 0.58662 0.020 0.232 0.748
#> 57CDEE2D-9B87-40D7-8DDA-17B7000F6965 2 0.4931 0.74152 0.000 0.768 0.232
#> 412F9B5E-324D-40CC-A8F3-FA9C1FCC83C0 1 0.5291 0.77031 0.732 0.268 0.000
#> 668765BB-DEC9-4746-B932-C8CE643B6564 2 0.4931 0.74152 0.000 0.768 0.232
#> 80379304-DD5D-49A3-8DE7-376FD06AEE17 3 0.3116 0.76474 0.000 0.108 0.892
#> BB657D53-8FE7-46AA-918E-8BE6EB5B70AD 1 0.4931 0.79834 0.768 0.232 0.000
#> 5ACFF57E-8B40-4A68-98B9-1F80D80B3F00 1 0.0000 0.86190 1.000 0.000 0.000
#> 74DDE13E-88AD-47C3-8824-5AE0C2B969D6 3 0.0424 0.85588 0.000 0.008 0.992
#> 19590D31-2415-4D46-8E50-494FC40BF639 2 0.5178 0.72313 0.000 0.744 0.256
#> 5E55B08E-C597-4DF7-8577-D8B15C404E59 1 0.5785 0.39025 0.668 0.332 0.000
#> 9061C1A3-8141-4780-B3F0-4D499B0556F3 1 0.4235 0.79222 0.824 0.176 0.000
#> FBE93EC7-CA18-41CE-8B85-50B4EC204278 1 0.0000 0.86190 1.000 0.000 0.000
#> E070D6ED-3B18-4D12-ABB4-2B62FF6033FC 1 0.4931 0.79834 0.768 0.232 0.000
#> 562291E5-AB47-4455-9C92-7904DAB14AB4 2 0.5760 0.39916 0.000 0.672 0.328
#> AE8BD116-5550-4A0F-BEBE-F092675A1F45 1 0.4931 0.79834 0.768 0.232 0.000
#> 94B73102-D49E-4CE8-9B49-7C109B3EC27C 3 0.0000 0.86127 0.000 0.000 1.000
#> AAC76EDF-5E5A-4D7E-8450-2B699A70EAA3 1 0.0424 0.85808 0.992 0.008 0.000
#> 0A1391EA-5B15-4D28-B6AE-2732FCA49897 1 0.0000 0.86190 1.000 0.000 0.000
#> F781C72C-3357-4038-AD89-5651FE3A1E20 1 0.4931 0.79834 0.768 0.232 0.000
#> 1E221CC6-319B-4B53-8836-80FDFC99FD72 1 0.4931 0.79834 0.768 0.232 0.000
#> 98E88BAB-4CE8-4A32-BBAC-7C6E711C4708 1 0.0000 0.86190 1.000 0.000 0.000
#> EE4AB031-AC4D-46A4-9334-CDDAA1C5C806 3 0.0000 0.86127 0.000 0.000 1.000
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#> 9ECE4E94-28D5-4692-82D4-5B7FA882543C 1 0.4931 0.79834 0.768 0.232 0.000
#> DC7CE58E-0EA8-4DDD-8AC4-DC5D5E8E7E3B 3 0.0000 0.86127 0.000 0.000 1.000
#> 67A7E9D8-C2A0-4B52-95BD-BDB781E7A9D5 3 0.0892 0.84738 0.000 0.020 0.980
#> 21FB1823-0E28-4F50-8546-D0F0847B1733 2 0.5254 0.71589 0.000 0.736 0.264
#> 93618EAD-7723-4616-BBB2-2D65E45EE3D2 1 0.0000 0.86190 1.000 0.000 0.000
#> 4864A82F-B571-4665-82FA-9BBEF2141C99 3 0.0000 0.86127 0.000 0.000 1.000
#> A34C537D-632D-4992-958D-5B85D190382C 1 0.0000 0.86190 1.000 0.000 0.000
#> 1ACE6BB9-A332-42DD-BA4F-E9902DB413AA 2 0.4931 0.74152 0.000 0.768 0.232
#> E3C1D3D8-1C78-4C16-B0E5-56B5CCE3C6B4 1 0.0000 0.86190 1.000 0.000 0.000
#> 1B0FE71F-DD59-45F7-BA73-E8BEEB7349A8 1 0.4931 0.79834 0.768 0.232 0.000
#> 8756589A-8352-4CDA-9297-D4C146D1DF47 1 0.0000 0.86190 1.000 0.000 0.000
#> E013D176-4FCB-4DF5-93F0-72803590B677 3 0.0000 0.86127 0.000 0.000 1.000
#> D0CCA6E0-8557-491C-AB82-289DF53E57FA 1 0.4931 0.79834 0.768 0.232 0.000
#> 933DB910-2728-4DC4-840E-B0CD1F13A421 3 0.0000 0.86127 0.000 0.000 1.000
#> 93910528-D681-4C69-86FD-326293B2F1C1 3 0.4974 0.60060 0.000 0.236 0.764
#> 3C9FDA2A-01C8-4F17-BBF1-5CAEAE3764D4 1 0.0000 0.86190 1.000 0.000 0.000
#> 8879C57E-8876-462F-810E-EE07C2F541AD 3 0.0237 0.85865 0.000 0.004 0.996
#> 130C8FBD-8D78-4212-8DD6-301EDFA339A9 1 0.4605 0.65276 0.796 0.000 0.204
#> 6C1FF3E9-0A8B-4B02-B0E9-EEF333E53592 2 0.0000 0.78052 0.000 1.000 0.000
#> 726497B7-C557-4D5C-A926-6DDA6136C899 2 0.0000 0.78052 0.000 1.000 0.000
#> 2299CD19-BF08-404C-B1BF-B570F12CCEF8 2 0.5938 0.72131 0.020 0.732 0.248
#> E8BCBDC5-E34E-422F-86C2-A4B30400EC86 3 0.4931 0.60440 0.000 0.232 0.768
#> B9EF0525-8B4A-4306-B06B-35AC457F5F48 2 0.4796 0.74708 0.000 0.780 0.220
#> F663E106-4E34-46C8-9CD9-AE5E9B8B27F0 2 0.3192 0.72036 0.000 0.888 0.112
#> 94E26CD5-238B-4D8C-B8E8-A62C44EB2B41 2 0.0592 0.77376 0.012 0.988 0.000
#> 135743C3-829E-46DC-BBA9-FF07C8067612 1 0.0000 0.86190 1.000 0.000 0.000
#> CBD7775A-2802-4EB7-9F62-6B80D7667AED 1 0.0000 0.86190 1.000 0.000 0.000
#> BD6DAD3D-2D5F-4560-9A4C-70D8A1D49732 1 0.0000 0.86190 1.000 0.000 0.000
#> ED86F92E-6B39-4C0C-9A60-870984F53C4D 1 0.0000 0.86190 1.000 0.000 0.000
#> CD3B289F-FAE1-405F-875F-23C1D2609DFC 1 0.0000 0.86190 1.000 0.000 0.000
#> D1C0E70B-B2BB-4FE7-8DEC-B50659739BAA 2 0.0000 0.78052 0.000 1.000 0.000
#> D2417A9C-CBF0-47F6-B20C-FB32AF632A84 2 0.0000 0.78052 0.000 1.000 0.000
#> EF5618C6-6AFB-4FB5-A32B-7946F18E9736 1 0.0000 0.86190 1.000 0.000 0.000
#> 36040CAB-FF77-4540-BB44-7961A6A54B29 3 0.4605 0.61511 0.000 0.204 0.796
#> 3808C3A9-22DA-4DC5-9F51-884A7EF574E6 1 0.0000 0.86190 1.000 0.000 0.000
#> 24363857-9A33-40D4-8409-C17225570833 1 0.6305 -0.12594 0.516 0.484 0.000
#> A57E6132-9B76-493A-A167-8462263B7CDB 2 0.2356 0.72561 0.072 0.928 0.000
#> 4C020890-E652-4DE4-B66D-5F6F71405F64 1 0.0000 0.86190 1.000 0.000 0.000
#> 90C991CD-412E-4318-96E3-EB84B868FE9F 2 0.5327 0.70792 0.000 0.728 0.272
#> FA8E73EA-649C-43ED-854E-B9472820D1C6 2 0.0237 0.78035 0.004 0.996 0.000
#> 4D46B5DE-186A-4D35-8E1B-64701C13BC69 3 0.0000 0.86127 0.000 0.000 1.000
#> D516A82D-2F77-46B2-90F7-30BA5C78AAC8 2 0.4931 0.74152 0.000 0.768 0.232
#> 1FBD0805-13AE-4A82-8B94-640E1C921262 3 0.4931 0.60440 0.000 0.232 0.768
#> 264525A9-F7DB-4012-A93B-CF8A7626F125 3 0.0000 0.86127 0.000 0.000 1.000
#> AFF029D8-FFC9-4AA9-8049-F1E27C743F6F 3 0.0000 0.86127 0.000 0.000 1.000
#> 5B65768D-0E81-4469-9D69-69B07ED5ACD5 2 0.4750 0.61443 0.000 0.784 0.216
#> 2CB06CA6-8D1F-4BC7-99BE-66921805B8FD 2 0.0000 0.78052 0.000 1.000 0.000
#> 956357FB-9AB3-497C-BB55-9D15B486A422 1 0.4931 0.79834 0.768 0.232 0.000
#> C8F2BAD0-7124-46BF-975C-4B44BE980F93 1 0.4931 0.79834 0.768 0.232 0.000
#> E96AE267-3E23-4EA9-93E2-D92558155A17 3 0.0000 0.86127 0.000 0.000 1.000
#> 1C8DCA5B-965B-485A-83B6-5CBEB2117E47 2 0.4931 0.66875 0.232 0.768 0.000
#> DEAB79F5-336A-49B4-8046-AEE2F567FE46 1 0.4555 0.81100 0.800 0.200 0.000
#> 767FE89E-E19F-4F56-A744-CB3C5CCC085B 1 0.6719 0.60949 0.744 0.160 0.096
#> 7B0BF632-79E5-46B5-AAC8-4A6D5A193449 3 0.0000 0.86127 0.000 0.000 1.000
#> 9A281EDE-FF96-4E66-AEF4-692BDFA8E99D 2 0.0000 0.78052 0.000 1.000 0.000
#> B8C2D019-00C9-4E1E-8383-4FE2FFB4D2D7 3 0.0000 0.86127 0.000 0.000 1.000
#> 39A9B95F-186B-4550-9271-001151B1A626 2 0.5254 0.71589 0.000 0.736 0.264
#> CAD6E491-88FB-4221-90E9-AC9C68AECCB0 1 0.0000 0.86190 1.000 0.000 0.000
#> 15EFBC5B-C713-4718-BB6F-0EBBE4D6997F 2 0.4931 0.66875 0.232 0.768 0.000
#> BBA00038-09B1-461D-9F8E-484890B0D130 1 0.4555 0.66294 0.800 0.000 0.200
#> 16EBB885-A692-42A6-9027-F6AD769E0ABB 1 0.0000 0.86190 1.000 0.000 0.000
#> 2D57E24B-97A6-4B85-BC8F-3E02DDC6C460 3 0.4887 0.56836 0.000 0.228 0.772
#> C6E39F86-9DEF-4BCA-930B-2A3993D18901 2 0.0000 0.78052 0.000 1.000 0.000
#> 5BE4D8E9-DA18-426F-8AE6-075B15010390 1 0.4931 0.79834 0.768 0.232 0.000
#> 8E9CAAC7-31D3-473C-821C-2DAD37B44D3A 2 0.4931 0.74152 0.000 0.768 0.232
#> 368CFCA3-7BAB-4D6D-9AE1-55713A9965C1 3 0.6252 0.26634 0.444 0.000 0.556
#> 14DB79EF-DE2B-4197-AD32-F657E0655FCD 2 0.0000 0.78052 0.000 1.000 0.000
#> E73BCFCB-C5FE-4BF2-A236-B9E69711C121 1 0.0000 0.86190 1.000 0.000 0.000
#> CDAFAFEA-365B-4F25-AEC0-639B6E0CB626 2 0.8821 0.52277 0.232 0.580 0.188
#> 48A2AAEB-7F60-4284-808E-2058A531B17C 2 0.5058 0.73292 0.000 0.756 0.244
#> D4276C6F-9F0F-4F74-A85E-1E54272ADDED 2 0.5591 0.66678 0.000 0.696 0.304
#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 2 0.4931 0.74152 0.000 0.768 0.232
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 2 0.5360 0.67629 0.220 0.768 0.012
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 3 0.0000 0.86127 0.000 0.000 1.000
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 1 0.4931 0.79834 0.768 0.232 0.000
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 3 0.9006 0.34666 0.256 0.188 0.556
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 1 0.5678 0.71840 0.684 0.316 0.000
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 1 0.0000 0.86190 1.000 0.000 0.000
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 1 0.3192 0.80384 0.888 0.112 0.000
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 2 0.0592 0.77586 0.000 0.988 0.012
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 2 0.5327 0.71250 0.000 0.728 0.272
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 2 0.0000 0.78052 0.000 1.000 0.000
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 1 0.0000 0.86190 1.000 0.000 0.000
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 2 0.4452 0.75734 0.000 0.808 0.192
#> C7997523-47CF-40F0-8803-AB873E38033C 2 0.0000 0.78052 0.000 1.000 0.000
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 3 0.2959 0.77034 0.000 0.100 0.900
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 3 0.0000 0.86127 0.000 0.000 1.000
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 1 0.6168 0.20158 0.588 0.000 0.412
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 1 0.4555 0.81100 0.800 0.200 0.000
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 2 0.5098 0.73185 0.000 0.752 0.248
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 2 0.4931 0.66875 0.232 0.768 0.000
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 3 0.0000 0.86127 0.000 0.000 1.000
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 2 0.0000 0.78052 0.000 1.000 0.000
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 1 0.0000 0.86190 1.000 0.000 0.000
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.0000 0.86190 1.000 0.000 0.000
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 1 0.0000 0.86190 1.000 0.000 0.000
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 1 0.4931 0.79834 0.768 0.232 0.000
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 3 0.0000 0.86127 0.000 0.000 1.000
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 3 0.0000 0.86127 0.000 0.000 1.000
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 2 0.5733 0.63720 0.000 0.676 0.324
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 2 0.4931 0.74152 0.000 0.768 0.232
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.4931 0.79834 0.768 0.232 0.000
#> E15EAAB4-0860-4716-9922-667F604CDF12 1 0.0892 0.85105 0.980 0.000 0.020
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 2 0.6140 0.22201 0.000 0.596 0.404
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 1 0.0000 0.86190 1.000 0.000 0.000
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 3 0.4555 0.64529 0.000 0.200 0.800
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.0000 0.86190 1.000 0.000 0.000
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 2 0.5254 0.71589 0.000 0.736 0.264
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 2 0.4931 0.74152 0.000 0.768 0.232
#> E2A4C651-977F-4F40-B5EC-46DF75944141 1 0.4931 0.79834 0.768 0.232 0.000
#> 433599CC-9DF5-4494-A607-8079FFE74D95 3 0.0000 0.86127 0.000 0.000 1.000
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 3 0.0237 0.85865 0.000 0.004 0.996
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 3 0.0000 0.86127 0.000 0.000 1.000
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.0000 0.86190 1.000 0.000 0.000
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 1 0.4974 0.60634 0.764 0.000 0.236
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 1 0.4931 0.79834 0.768 0.232 0.000
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.0000 0.86127 0.000 0.000 1.000
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 3 0.0000 0.86127 0.000 0.000 1.000
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 3 0.0000 0.86127 0.000 0.000 1.000
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.4887 0.74347 0.000 0.772 0.228
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 1 0.2448 0.84375 0.924 0.076 0.000
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.5254 0.71589 0.000 0.736 0.264
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.4931 0.79834 0.768 0.232 0.000
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 3 0.0000 0.86127 0.000 0.000 1.000
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.0000 0.86190 1.000 0.000 0.000
#> 057B580C-13FD-4185-943C-9DD5266B8554 3 0.4974 0.62471 0.236 0.000 0.764
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 1 0.1163 0.84622 0.972 0.000 0.028
#> 287F3696-25CF-4E67-A934-E50856AD4790 3 0.0000 0.86127 0.000 0.000 1.000
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.4555 0.75453 0.000 0.800 0.200
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 1 0.5058 0.79016 0.756 0.244 0.000
#> B80A74AB-A264-4396-93F8-FD976DBC1456 3 0.0000 0.86127 0.000 0.000 1.000
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.5138 0.72652 0.000 0.748 0.252
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.0000 0.86190 1.000 0.000 0.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.0000 0.86190 1.000 0.000 0.000
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 2 0.9480 0.33771 0.236 0.496 0.268
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 3 0.0000 0.86127 0.000 0.000 1.000
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.0000 0.78052 0.000 1.000 0.000
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.4931 0.79834 0.768 0.232 0.000
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 1 0.0592 0.85574 0.988 0.012 0.000
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.5254 0.71589 0.000 0.736 0.264
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.4931 0.79834 0.768 0.232 0.000
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.0000 0.78052 0.000 1.000 0.000
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 3 0.0000 0.86127 0.000 0.000 1.000
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 1 0.6308 -0.15328 0.508 0.492 0.000
#> DD292494-92A2-43CB-B59B-726B2F429B29 2 0.4931 0.66875 0.232 0.768 0.000
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.4887 0.80006 0.772 0.228 0.000
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 1 0.0000 0.86190 1.000 0.000 0.000
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 3 0.4702 0.64980 0.212 0.000 0.788
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 3 0.5706 0.50016 0.000 0.320 0.680
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 1 0.0000 0.86190 1.000 0.000 0.000
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.0000 0.86190 1.000 0.000 0.000
#> 74CF740D-201D-4070-99B9-F007E7C4D472 1 0.9150 0.55282 0.544 0.232 0.224
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 2 0.0000 0.78052 0.000 1.000 0.000
#> 78F28873-E471-497A-9405-FB8955808599 3 0.0000 0.86127 0.000 0.000 1.000
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.5254 0.71589 0.000 0.736 0.264
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.4931 0.74152 0.000 0.768 0.232
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 2 0.3879 0.64190 0.152 0.848 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.4713 0.57190 0.360 0.000 0.640 0.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.4730 0.61052 0.636 0.000 0.000 0.364
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 4 0.4843 -0.26057 0.396 0.000 0.000 0.604
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.4817 0.60486 0.612 0.000 0.000 0.388
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.4730 0.61052 0.636 0.000 0.000 0.364
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 2 0.7878 -0.22327 0.284 0.376 0.000 0.340
#> 966A3A03-3879-4816-A1E9-D805F6018836 3 0.6421 0.42718 0.000 0.076 0.556 0.368
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.1256 0.45915 0.000 0.964 0.008 0.028
#> 18971368-40F0-42D3-B1A3-707850C53B18 2 0.7847 -0.20882 0.268 0.384 0.000 0.348
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 4 0.7647 -0.01904 0.208 0.388 0.000 0.404
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 2 0.5836 0.07594 0.056 0.640 0.000 0.304
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 3 0.0188 0.71575 0.000 0.000 0.996 0.004
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 2 0.7878 -0.22327 0.284 0.376 0.000 0.340
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#> C4438C6E-8920-482D-A4A9-84FDB3EDBF21 1 0.4790 0.60962 0.620 0.000 0.000 0.380
#> F4F8D7E7-98B9-4145-9F69-5A1684997C87 3 0.4713 0.57190 0.360 0.000 0.640 0.000
#> 433CED6F-A9DE-444E-9A11-8929A3EFEC9B 4 0.4972 -0.34428 0.456 0.000 0.000 0.544
#> C3FDCD45-2013-4BA2-BEAF-5ED6A3393783 1 0.4730 0.61052 0.636 0.000 0.000 0.364
#> 9ECE4E94-28D5-4692-82D4-5B7FA882543C 2 0.7701 -0.15152 0.220 0.392 0.000 0.388
#> DC7CE58E-0EA8-4DDD-8AC4-DC5D5E8E7E3B 3 0.0000 0.71707 0.000 0.000 1.000 0.000
#> 67A7E9D8-C2A0-4B52-95BD-BDB781E7A9D5 3 0.5219 0.57919 0.000 0.044 0.712 0.244
#> 21FB1823-0E28-4F50-8546-D0F0847B1733 2 0.6820 0.34078 0.000 0.528 0.108 0.364
#> 93618EAD-7723-4616-BBB2-2D65E45EE3D2 1 0.4431 0.26703 0.696 0.000 0.000 0.304
#> 4864A82F-B571-4665-82FA-9BBEF2141C99 3 0.0000 0.71707 0.000 0.000 1.000 0.000
#> A34C537D-632D-4992-958D-5B85D190382C 1 0.4730 0.61052 0.636 0.000 0.000 0.364
#> 1ACE6BB9-A332-42DD-BA4F-E9902DB413AA 2 0.5713 0.41354 0.000 0.604 0.036 0.360
#> E3C1D3D8-1C78-4C16-B0E5-56B5CCE3C6B4 1 0.4955 0.54703 0.556 0.000 0.000 0.444
#> 1B0FE71F-DD59-45F7-BA73-E8BEEB7349A8 1 0.7440 -0.05596 0.440 0.388 0.000 0.172
#> 8756589A-8352-4CDA-9297-D4C146D1DF47 4 0.4992 -0.33818 0.476 0.000 0.000 0.524
#> E013D176-4FCB-4DF5-93F0-72803590B677 3 0.4713 0.57190 0.360 0.000 0.640 0.000
#> D0CCA6E0-8557-491C-AB82-289DF53E57FA 2 0.7621 -0.02598 0.236 0.468 0.000 0.296
#> 933DB910-2728-4DC4-840E-B0CD1F13A421 3 0.0336 0.71475 0.000 0.000 0.992 0.008
#> 93910528-D681-4C69-86FD-326293B2F1C1 3 0.6652 0.50596 0.316 0.108 0.576 0.000
#> 3C9FDA2A-01C8-4F17-BBF1-5CAEAE3764D4 4 0.4955 -0.28287 0.444 0.000 0.000 0.556
#> 8879C57E-8876-462F-810E-EE07C2F541AD 3 0.0000 0.71707 0.000 0.000 1.000 0.000
#> 130C8FBD-8D78-4212-8DD6-301EDFA339A9 4 0.5979 -0.21333 0.372 0.008 0.032 0.588
#> 6C1FF3E9-0A8B-4B02-B0E9-EEF333E53592 2 0.4356 0.44364 0.000 0.708 0.000 0.292
#> 726497B7-C557-4D5C-A926-6DDA6136C899 2 0.4095 0.37405 0.000 0.792 0.192 0.016
#> 2299CD19-BF08-404C-B1BF-B570F12CCEF8 4 0.7804 -0.25650 0.004 0.212 0.356 0.428
#> E8BCBDC5-E34E-422F-86C2-A4B30400EC86 3 0.4889 0.56923 0.360 0.000 0.636 0.004
#> B9EF0525-8B4A-4306-B06B-35AC457F5F48 2 0.5728 0.41194 0.000 0.600 0.036 0.364
#> F663E106-4E34-46C8-9CD9-AE5E9B8B27F0 2 0.2469 0.41384 0.000 0.892 0.108 0.000
#> 94E26CD5-238B-4D8C-B8E8-A62C44EB2B41 2 0.1798 0.45313 0.000 0.944 0.016 0.040
#> 135743C3-829E-46DC-BBA9-FF07C8067612 1 0.4790 0.60962 0.620 0.000 0.000 0.380
#> CBD7775A-2802-4EB7-9F62-6B80D7667AED 1 0.4888 0.58220 0.588 0.000 0.000 0.412
#> BD6DAD3D-2D5F-4560-9A4C-70D8A1D49732 1 0.4746 0.61136 0.632 0.000 0.000 0.368
#> ED86F92E-6B39-4C0C-9A60-870984F53C4D 1 0.4713 0.60839 0.640 0.000 0.000 0.360
#> CD3B289F-FAE1-405F-875F-23C1D2609DFC 1 0.4898 0.57886 0.584 0.000 0.000 0.416
#> D1C0E70B-B2BB-4FE7-8DEC-B50659739BAA 2 0.6355 0.39039 0.000 0.576 0.076 0.348
#> D2417A9C-CBF0-47F6-B20C-FB32AF632A84 2 0.0000 0.45732 0.000 1.000 0.000 0.000
#> EF5618C6-6AFB-4FB5-A32B-7946F18E9736 4 0.4830 -0.25431 0.392 0.000 0.000 0.608
#> 36040CAB-FF77-4540-BB44-7961A6A54B29 3 0.5284 0.49348 0.000 0.016 0.616 0.368
#> 3808C3A9-22DA-4DC5-9F51-884A7EF574E6 1 0.4830 0.31021 0.608 0.000 0.000 0.392
#> 24363857-9A33-40D4-8409-C17225570833 4 0.6514 -0.00986 0.104 0.172 0.032 0.692
#> A57E6132-9B76-493A-A167-8462263B7CDB 2 0.1489 0.43475 0.044 0.952 0.000 0.004
#> 4C020890-E652-4DE4-B66D-5F6F71405F64 4 0.4776 -0.23345 0.376 0.000 0.000 0.624
#> 90C991CD-412E-4318-96E3-EB84B868FE9F 3 0.7853 0.08655 0.000 0.268 0.368 0.364
#> FA8E73EA-649C-43ED-854E-B9472820D1C6 2 0.5691 0.40127 0.000 0.564 0.028 0.408
#> 4D46B5DE-186A-4D35-8E1B-64701C13BC69 3 0.0000 0.71707 0.000 0.000 1.000 0.000
#> D516A82D-2F77-46B2-90F7-30BA5C78AAC8 2 0.5728 0.41194 0.000 0.600 0.036 0.364
#> 1FBD0805-13AE-4A82-8B94-640E1C921262 3 0.4713 0.57190 0.360 0.000 0.640 0.000
#> 264525A9-F7DB-4012-A93B-CF8A7626F125 3 0.0000 0.71707 0.000 0.000 1.000 0.000
#> AFF029D8-FFC9-4AA9-8049-F1E27C743F6F 3 0.1792 0.69486 0.000 0.000 0.932 0.068
#> 5B65768D-0E81-4469-9D69-69B07ED5ACD5 2 0.5980 -0.03569 0.008 0.512 0.456 0.024
#> 2CB06CA6-8D1F-4BC7-99BE-66921805B8FD 2 0.0336 0.45813 0.000 0.992 0.000 0.008
#> 956357FB-9AB3-497C-BB55-9D15B486A422 4 0.6253 0.14398 0.060 0.396 0.000 0.544
#> C8F2BAD0-7124-46BF-975C-4B44BE980F93 2 0.7869 -0.21634 0.280 0.380 0.000 0.340
#> E96AE267-3E23-4EA9-93E2-D92558155A17 3 0.4889 0.56923 0.360 0.000 0.636 0.004
#> 1C8DCA5B-965B-485A-83B6-5CBEB2117E47 4 0.6871 -0.33173 0.004 0.440 0.088 0.468
#> DEAB79F5-336A-49B4-8046-AEE2F567FE46 1 0.6374 0.49085 0.592 0.084 0.000 0.324
#> 767FE89E-E19F-4F56-A744-CB3C5CCC085B 4 0.4336 0.17258 0.060 0.000 0.128 0.812
#> 7B0BF632-79E5-46B5-AAC8-4A6D5A193449 3 0.0000 0.71707 0.000 0.000 1.000 0.000
#> 9A281EDE-FF96-4E66-AEF4-692BDFA8E99D 2 0.0000 0.45732 0.000 1.000 0.000 0.000
#> B8C2D019-00C9-4E1E-8383-4FE2FFB4D2D7 3 0.4713 0.57190 0.360 0.000 0.640 0.000
#> 39A9B95F-186B-4550-9271-001151B1A626 2 0.6163 0.39172 0.000 0.576 0.060 0.364
#> CAD6E491-88FB-4221-90E9-AC9C68AECCB0 4 0.4776 -0.23345 0.376 0.000 0.000 0.624
#> 15EFBC5B-C713-4718-BB6F-0EBBE4D6997F 2 0.5016 0.41678 0.000 0.600 0.004 0.396
#> BBA00038-09B1-461D-9F8E-484890B0D130 4 0.7088 -0.17608 0.392 0.000 0.128 0.480
#> 16EBB885-A692-42A6-9027-F6AD769E0ABB 1 0.4661 0.59680 0.652 0.000 0.000 0.348
#> 2D57E24B-97A6-4B85-BC8F-3E02DDC6C460 3 0.5371 0.49212 0.000 0.020 0.616 0.364
#> C6E39F86-9DEF-4BCA-930B-2A3993D18901 2 0.5713 0.41354 0.000 0.604 0.036 0.360
#> 5BE4D8E9-DA18-426F-8AE6-075B15010390 4 0.6617 0.12550 0.088 0.380 0.000 0.532
#> 8E9CAAC7-31D3-473C-821C-2DAD37B44D3A 2 0.7688 0.18968 0.000 0.416 0.220 0.364
#> 368CFCA3-7BAB-4D6D-9AE1-55713A9965C1 3 0.7488 0.35747 0.384 0.000 0.436 0.180
#> 14DB79EF-DE2B-4197-AD32-F657E0655FCD 2 0.4888 0.41499 0.000 0.588 0.000 0.412
#> E73BCFCB-C5FE-4BF2-A236-B9E69711C121 4 0.4776 -0.23345 0.376 0.000 0.000 0.624
#> CDAFAFEA-365B-4F25-AEC0-639B6E0CB626 4 0.5391 -0.18504 0.012 0.012 0.320 0.656
#> 48A2AAEB-7F60-4284-808E-2058A531B17C 2 0.5713 0.41354 0.000 0.604 0.036 0.360
#> D4276C6F-9F0F-4F74-A85E-1E54272ADDED 4 0.7910 -0.23012 0.000 0.320 0.316 0.364
#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 2 0.5728 0.41194 0.000 0.600 0.036 0.364
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 4 0.6965 -0.32844 0.000 0.428 0.112 0.460
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 3 0.4605 0.58316 0.336 0.000 0.664 0.000
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 2 0.7860 -0.21039 0.276 0.384 0.000 0.340
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 3 0.7221 0.34445 0.424 0.000 0.436 0.140
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 2 0.7188 -0.00216 0.244 0.552 0.000 0.204
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 1 0.4746 0.61136 0.632 0.000 0.000 0.368
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 4 0.6544 0.06405 0.112 0.284 0.000 0.604
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 2 0.1182 0.44340 0.016 0.968 0.000 0.016
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 4 0.7523 -0.31177 0.000 0.184 0.400 0.416
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 2 0.5713 0.41354 0.000 0.604 0.036 0.360
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 1 0.5112 0.55403 0.560 0.004 0.000 0.436
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 2 0.5713 0.41354 0.000 0.604 0.036 0.360
#> C7997523-47CF-40F0-8803-AB873E38033C 2 0.0000 0.45732 0.000 1.000 0.000 0.000
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 3 0.4905 0.50693 0.000 0.004 0.632 0.364
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 3 0.0000 0.71707 0.000 0.000 1.000 0.000
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 1 0.3400 0.20945 0.820 0.000 0.180 0.000
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 1 0.6494 0.48937 0.572 0.088 0.000 0.340
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 3 0.7500 0.27998 0.000 0.252 0.500 0.248
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 2 0.4925 0.40565 0.000 0.572 0.000 0.428
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 3 0.4713 0.57190 0.360 0.000 0.640 0.000
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 2 0.0000 0.45732 0.000 1.000 0.000 0.000
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 4 0.4999 -0.31031 0.492 0.000 0.000 0.508
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.4730 0.60527 0.636 0.000 0.000 0.364
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 4 0.4866 -0.27157 0.404 0.000 0.000 0.596
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 2 0.7856 -0.20285 0.276 0.388 0.000 0.336
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 3 0.0592 0.71117 0.016 0.000 0.984 0.000
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 3 0.5158 0.59079 0.028 0.008 0.724 0.240
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 4 0.7883 -0.25102 0.000 0.284 0.352 0.364
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 2 0.6097 0.39552 0.000 0.580 0.056 0.364
#> 1DEA6525-5598-4985-9218-D61912C75437 2 0.7869 -0.21634 0.280 0.380 0.000 0.340
#> E15EAAB4-0860-4716-9922-667F604CDF12 1 0.4817 0.23873 0.612 0.000 0.000 0.388
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 2 0.4304 0.24953 0.000 0.716 0.284 0.000
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 4 0.4830 -0.25297 0.392 0.000 0.000 0.608
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 3 0.4713 0.57190 0.360 0.000 0.640 0.000
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.4746 0.61136 0.632 0.000 0.000 0.368
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 2 0.7843 0.11253 0.000 0.372 0.264 0.364
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 2 0.5957 0.40380 0.000 0.588 0.048 0.364
#> E2A4C651-977F-4F40-B5EC-46DF75944141 4 0.6875 0.10845 0.108 0.388 0.000 0.504
#> 433599CC-9DF5-4494-A607-8079FFE74D95 3 0.5290 0.47815 0.012 0.000 0.584 0.404
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 3 0.3716 0.66514 0.000 0.052 0.852 0.096
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 3 0.0000 0.71707 0.000 0.000 1.000 0.000
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.4790 0.60962 0.620 0.000 0.000 0.380
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 1 0.7558 0.09326 0.428 0.000 0.192 0.380
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 2 0.7866 -0.10074 0.336 0.384 0.000 0.280
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.4713 0.57190 0.360 0.000 0.640 0.000
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 3 0.0000 0.71707 0.000 0.000 1.000 0.000
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 3 0.0000 0.71707 0.000 0.000 1.000 0.000
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.5728 0.41194 0.000 0.600 0.036 0.364
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 4 0.5569 0.11618 0.044 0.296 0.000 0.660
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.7436 0.25286 0.000 0.460 0.176 0.364
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 2 0.7850 -0.20502 0.272 0.388 0.000 0.340
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 3 0.0000 0.71707 0.000 0.000 1.000 0.000
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.4746 0.61136 0.632 0.000 0.000 0.368
#> 057B580C-13FD-4185-943C-9DD5266B8554 1 0.4720 -0.10983 0.672 0.000 0.324 0.004
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 1 0.3764 0.18122 0.784 0.000 0.000 0.216
#> 287F3696-25CF-4E67-A934-E50856AD4790 3 0.0188 0.71575 0.000 0.000 0.996 0.004
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.5713 0.41354 0.000 0.604 0.036 0.360
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 2 0.7666 0.01099 0.392 0.396 0.000 0.212
#> B80A74AB-A264-4396-93F8-FD976DBC1456 3 0.0000 0.71707 0.000 0.000 1.000 0.000
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 4 0.7781 -0.24545 0.000 0.248 0.344 0.408
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.4790 0.60962 0.620 0.000 0.000 0.380
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.4804 0.60882 0.616 0.000 0.000 0.384
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 4 0.8043 -0.22175 0.020 0.192 0.320 0.468
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 3 0.0000 0.71707 0.000 0.000 1.000 0.000
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.0336 0.45813 0.000 0.992 0.000 0.008
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 2 0.7860 -0.21039 0.276 0.384 0.000 0.340
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 4 0.5099 -0.23461 0.380 0.008 0.000 0.612
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.7111 0.30961 0.000 0.500 0.136 0.364
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 2 0.7878 -0.22327 0.284 0.376 0.000 0.340
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.0000 0.45732 0.000 1.000 0.000 0.000
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 3 0.1867 0.69013 0.000 0.000 0.928 0.072
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 4 0.4287 0.14563 0.080 0.012 0.072 0.836
#> DD292494-92A2-43CB-B59B-726B2F429B29 2 0.5126 0.38535 0.004 0.552 0.000 0.444
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 2 0.7866 -0.10520 0.348 0.376 0.000 0.276
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 4 0.5599 -0.21426 0.352 0.032 0.000 0.616
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 3 0.5764 0.43768 0.028 0.000 0.520 0.452
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 3 0.7759 0.18418 0.120 0.376 0.476 0.028
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 4 0.4996 -0.34005 0.484 0.000 0.000 0.516
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.0336 0.32082 0.992 0.000 0.000 0.008
#> 74CF740D-201D-4070-99B9-F007E7C4D472 1 0.7759 -0.07407 0.420 0.396 0.008 0.176
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 2 0.0000 0.45732 0.000 1.000 0.000 0.000
#> 78F28873-E471-497A-9405-FB8955808599 3 0.0000 0.71707 0.000 0.000 1.000 0.000
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.7740 0.16889 0.000 0.404 0.232 0.364
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.7688 0.18987 0.000 0.416 0.220 0.364
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 2 0.3910 0.33671 0.156 0.820 0.000 0.024
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.1410 0.75808 0.000 0.000 0.940 0.000 0.060
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.0404 0.70967 0.988 0.000 0.000 0.012 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 4 0.7667 0.26918 0.276 0.000 0.052 0.388 0.284
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.0000 0.71009 1.000 0.000 0.000 0.000 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.0510 0.70857 0.984 0.000 0.000 0.016 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.4287 0.10558 0.540 0.000 0.000 0.460 0.000
#> 966A3A03-3879-4816-A1E9-D805F6018836 5 0.3966 0.50574 0.000 0.336 0.000 0.000 0.664
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.3183 0.68186 0.000 0.828 0.000 0.156 0.016
#> 18971368-40F0-42D3-B1A3-707850C53B18 4 0.5077 0.08388 0.428 0.000 0.036 0.536 0.000
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 4 0.6420 0.20032 0.324 0.000 0.000 0.484 0.192
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 4 0.5749 0.34718 0.172 0.172 0.000 0.648 0.008
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 5 0.4329 0.70052 0.000 0.032 0.252 0.000 0.716
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.4300 0.07432 0.524 0.000 0.000 0.476 0.000
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 4 0.7503 0.25995 0.292 0.000 0.040 0.400 0.268
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.4307 0.01984 0.504 0.000 0.000 0.496 0.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 5 0.4292 0.70334 0.000 0.024 0.272 0.000 0.704
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 2 0.5941 0.43631 0.000 0.584 0.000 0.160 0.256
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 2 0.3636 0.61407 0.000 0.728 0.000 0.272 0.000
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.0404 0.70967 0.988 0.000 0.000 0.012 0.000
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.3424 0.49429 0.760 0.000 0.000 0.240 0.000
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 4 0.5771 0.31225 0.000 0.120 0.020 0.660 0.200
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 5 0.4602 0.69870 0.000 0.052 0.240 0.000 0.708
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 4 0.5114 0.09906 0.424 0.008 0.024 0.544 0.000
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 1 0.3857 0.42605 0.688 0.000 0.312 0.000 0.000
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 5 0.6188 -0.09410 0.104 0.004 0.008 0.344 0.540
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 1 0.6731 -0.12390 0.416 0.000 0.000 0.304 0.280
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.0000 0.71009 1.000 0.000 0.000 0.000 0.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 1 0.1412 0.69220 0.952 0.000 0.036 0.008 0.004
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.3819 0.64155 0.000 0.756 0.000 0.228 0.016
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 5 0.4292 0.70334 0.000 0.024 0.272 0.000 0.704
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 2 0.3586 0.61830 0.000 0.736 0.000 0.264 0.000
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.4287 -0.01969 0.000 0.540 0.000 0.000 0.460
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.0000 0.71009 1.000 0.000 0.000 0.000 0.000
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 5 0.3684 0.57401 0.000 0.280 0.000 0.000 0.720
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 2 0.5861 0.43703 0.228 0.648 0.000 0.028 0.096
#> BE56F908-42DD-4019-A8AC-48884DA788B1 5 0.5121 0.14378 0.040 0.000 0.012 0.300 0.648
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 2 0.6946 0.44990 0.000 0.528 0.036 0.244 0.192
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 4 0.5647 0.42043 0.036 0.000 0.056 0.652 0.256
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 3 0.1074 0.74631 0.016 0.000 0.968 0.012 0.004
#> 791D9EB8-42E0-4192-B064-B1126CA14481 2 0.3480 0.63095 0.000 0.752 0.000 0.248 0.000
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 5 0.4843 0.57056 0.000 0.292 0.048 0.000 0.660
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 5 0.5274 0.51135 0.000 0.336 0.064 0.000 0.600
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.4171 0.22906 0.604 0.000 0.000 0.396 0.000
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.0404 0.70559 0.988 0.000 0.000 0.012 0.000
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 3 0.1410 0.75808 0.000 0.000 0.940 0.000 0.060
#> D47C7B74-BB01-4614-B683-652F7130729C 5 0.6153 0.55962 0.000 0.232 0.208 0.000 0.560
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 4 0.5930 0.40364 0.072 0.032 0.000 0.616 0.280
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 4 0.6616 0.17672 0.000 0.252 0.000 0.456 0.292
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.0000 0.71009 1.000 0.000 0.000 0.000 0.000
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.2074 0.66718 0.000 0.896 0.000 0.000 0.104
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.0162 0.71019 0.996 0.000 0.000 0.004 0.000
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 4 0.6736 0.29774 0.252 0.004 0.000 0.460 0.284
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 2 0.0404 0.71827 0.000 0.988 0.000 0.000 0.012
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 5 0.4292 0.70334 0.000 0.024 0.272 0.000 0.704
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 3 0.3766 0.54439 0.268 0.000 0.728 0.004 0.000
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 1 0.4114 0.50007 0.776 0.000 0.000 0.060 0.164
#> 58F11B66-AE40-417E-B465-811C6CF7311C 1 0.3966 0.53547 0.796 0.000 0.000 0.132 0.072
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.4305 0.04084 0.512 0.000 0.000 0.488 0.000
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 5 0.1686 0.57296 0.004 0.004 0.012 0.036 0.944
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 5 0.3193 0.50413 0.004 0.032 0.000 0.112 0.852
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 2 0.2020 0.67186 0.000 0.900 0.000 0.000 0.100
#> 739952C6-FF36-4E34-B881-E02FE17C4012 4 0.4430 0.06507 0.456 0.004 0.000 0.540 0.000
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 1 0.4219 0.19097 0.584 0.000 0.000 0.416 0.000
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 5 0.4307 0.12087 0.000 0.496 0.000 0.000 0.504
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 4 0.4756 0.34582 0.240 0.052 0.004 0.704 0.000
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 1 0.3384 0.61175 0.848 0.000 0.060 0.088 0.004
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 1 0.0510 0.70857 0.984 0.000 0.000 0.016 0.000
#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 1 0.5591 0.15911 0.496 0.000 0.060 0.440 0.004
#> F6B26185-139B-47A7-91EC-E885D94AC882 4 0.4930 0.06707 0.000 0.032 0.388 0.580 0.000
#> 81F30B6F-3E9A-4913-986B-C56D5F107A17 4 0.5606 0.14474 0.000 0.072 0.004 0.564 0.360
#> 2CCB3AE1-0D27-4493-B7AE-67C60BBC1C38 5 0.4292 0.70334 0.000 0.024 0.272 0.000 0.704
#> 329665BC-B959-47C5-B831-5546F94EDAC1 2 0.3895 0.55376 0.000 0.680 0.000 0.320 0.000
#> 8D4335F6-6ACB-4E38-B9F2-A2B5B647AE90 1 0.6261 0.30215 0.600 0.040 0.092 0.268 0.000
#> D181D0D8-FD8C-4259-9B34-97224CF27E1B 2 0.1908 0.71134 0.000 0.908 0.000 0.092 0.000
#> C0C10950-ABC5-4125-A33E-5AFA2D2574B0 5 0.4074 0.46742 0.000 0.364 0.000 0.000 0.636
#> 834D12DB-0925-422C-B15B-20A60A5F658C 2 0.3424 0.63610 0.000 0.760 0.000 0.240 0.000
#> 50314689-519F-4B27-884C-7816DD64CF4E 1 0.0000 0.71009 1.000 0.000 0.000 0.000 0.000
#> 2502A23E-E168-4A78-9C14-B93FBC9715B1 3 0.4718 0.44986 0.344 0.000 0.628 0.028 0.000
#> 3F8D01A3-5449-48A1-BDBA-BFE4D908AE31 5 0.2733 0.50899 0.004 0.000 0.012 0.112 0.872
#> 1C47A87B-C033-4705-B903-DB33B8C6EC34 4 0.5637 0.39624 0.100 0.004 0.000 0.616 0.280
#> 1329E1C1-743E-4541-9081-165572D4BF47 2 0.4890 0.52861 0.000 0.680 0.000 0.064 0.256
#> 1F3F8680-EEB6-4532-B81D-51957D1EA502 4 0.4450 0.00191 0.488 0.004 0.000 0.508 0.000
#> 50F69785-8B7A-4933-85B1-8DC539ACC72A 4 0.4307 -0.02694 0.500 0.000 0.000 0.500 0.000
#> 9095FDD8-EEB2-4B17-85AB-3CDAC0BEC759 3 0.3649 0.68652 0.064 0.000 0.848 0.032 0.056
#> B6BF8C22-03E4-44F0-B2EF-2A3DD6ADE7D7 4 0.4300 0.02876 0.476 0.000 0.000 0.524 0.000
#> D6A907FC-3A1B-4E3B-A440-1CE9BE9B334B 2 0.3074 0.56411 0.000 0.804 0.000 0.000 0.196
#> 02588D5D-89CB-4D0B-9E96-A0270C3FF866 2 0.0404 0.71827 0.000 0.988 0.000 0.000 0.012
#> D50BBFC7-7774-4B12-938C-8D5373C12DFC 5 0.3969 0.55545 0.000 0.304 0.004 0.000 0.692
#> 6E930060-502B-49F5-A385-9B91DEBD05E4 1 0.0404 0.70967 0.988 0.000 0.000 0.012 0.000
#> F6606A8E-ACC6-4826-9547-E0017521724D 4 0.2795 0.45007 0.080 0.008 0.028 0.884 0.000
#> 981584D3-10DB-455C-8132-E8E5F44E1222 2 0.3480 0.63095 0.000 0.752 0.000 0.248 0.000
#> 47F6E197-7164-4289-95B5-8FD305A13B4C 4 0.4440 0.04264 0.468 0.004 0.000 0.528 0.000
#> 4522D871-9379-4643-B15E-9ACB556276C4 3 0.4096 0.54587 0.260 0.000 0.724 0.012 0.004
#> 7560B2B5-6AF5-4600-9F0A-BE25CF99B6B9 4 0.3231 0.39574 0.196 0.004 0.000 0.800 0.000
#> 38F5957E-0A99-432D-8F0B-B48E03F17668 1 0.0794 0.70393 0.972 0.000 0.000 0.028 0.000
#> 7A6BBBE6-2B3B-44EB-A101-C823739AB24F 2 0.0510 0.71699 0.000 0.984 0.000 0.000 0.016
#> 0782D25A-3B14-499E-A40C-3852B3A15B8B 2 0.1197 0.70225 0.000 0.952 0.000 0.000 0.048
#> 31D4B639-D1E5-479B-AEC2-34F758F2E470 4 0.4299 0.09590 0.004 0.000 0.388 0.608 0.000
#> C49078E1-E730-4E81-8EAE-5AAAB9FA1BF5 3 0.2890 0.62595 0.000 0.004 0.836 0.000 0.160
#> 48BCD3B8-917F-4E8F-BCEA-1363570A6486 2 0.4240 0.56817 0.008 0.684 0.004 0.304 0.000
#> F3BA6259-9F68-47D0-ABDD-1272AE112CAB 2 0.0794 0.71345 0.000 0.972 0.000 0.000 0.028
#> 3CA49BB1-30F6-47F3-A751-D5601E16BDBA 2 0.3480 0.63095 0.000 0.752 0.000 0.248 0.000
#> 47747595-686A-46B5-9EF4-A4CFB85D746D 3 0.4183 0.50446 0.324 0.008 0.668 0.000 0.000
#> 87974EFF-C2DE-4930-93E3-015E6D996440 5 0.4292 0.70334 0.000 0.024 0.272 0.000 0.704
#> 7D272E6C-826D-4D02-8383-6A3D5BBF3A5F 3 0.1410 0.75808 0.000 0.000 0.940 0.000 0.060
#> 070E540B-34DB-4016-B573-84924407F57F 4 0.5883 0.33977 0.188 0.000 0.188 0.620 0.004
#> 63F4281A-4D90-4589-879E-549097FB3459 4 0.4981 0.38556 0.188 0.000 0.000 0.704 0.108
#> 93A66EA0-0C74-4342-8140-72ECB01F99A1 4 0.3305 0.32834 0.000 0.000 0.224 0.776 0.000
#> C92AD683-FD09-4DD2-A5A5-C72EA5DD9B46 1 0.4893 0.42988 0.704 0.020 0.000 0.240 0.036
#> 38D2BE9E-15D4-47BC-8FEB-55310F23825B 2 0.7919 0.11641 0.096 0.408 0.000 0.204 0.292
#> B3029936-1EEF-4378-AA28-D5B2A32CDC86 1 0.3885 0.47890 0.724 0.000 0.008 0.268 0.000
#> 9A33172F-AEEA-4B7D-9605-0C60D7872CEA 1 0.4201 0.20719 0.592 0.000 0.000 0.408 0.000
#> F2BC32E5-4117-468E-B637-9EDB6E9CC6C7 3 0.4273 0.18768 0.000 0.000 0.552 0.448 0.000
#> EC319D0D-96C5-49DB-A2C4-BB6BFED6844F 1 0.0000 0.71009 1.000 0.000 0.000 0.000 0.000
#> 8CB71499-1B35-417D-95E1-D85CE71A2D8A 1 0.1522 0.68030 0.944 0.000 0.000 0.012 0.044
#> C5986AA8-D1C7-47BB-946F-1AE00503A444 2 0.1082 0.71791 0.000 0.964 0.000 0.008 0.028
#> CDB44ECD-3F01-4865-B4CC-5190E0FB64DC 1 0.1200 0.69994 0.964 0.008 0.000 0.012 0.016
#> 57633DCE-DC21-42AE-82EB-81F532CE9840 5 0.4452 0.59359 0.000 0.272 0.032 0.000 0.696
#> 715C1406-D224-466D-968E-46889824CD3D 4 0.6863 0.30984 0.236 0.012 0.000 0.472 0.280
#> 86A9A426-4B69-4572-9AFF-103C2724E5EA 1 0.3602 0.57265 0.796 0.000 0.180 0.024 0.000
#> A73A2348-FC50-42A5-ADF0-6647E5ECF0EA 4 0.6523 0.31414 0.248 0.000 0.000 0.484 0.268
#> 4BF75CF9-DA61-4A0B-940C-B09C7FE864F0 1 0.0162 0.71019 0.996 0.000 0.000 0.004 0.000
#> E3D18696-51D7-4BE3-A32B-3196E5F80438 1 0.3586 0.45821 0.736 0.000 0.000 0.264 0.000
#> C4C7C112-555F-46D5-8D5D-411C7737A4C9 3 0.1502 0.74659 0.056 0.000 0.940 0.000 0.004
#> 0A3E0A3D-D396-4340-8D98-4B79DBFC312C 2 0.0290 0.71816 0.000 0.992 0.000 0.000 0.008
#> 5513114D-2503-4D11-ADA4-35BE010510E5 3 0.4424 0.51586 0.048 0.000 0.728 0.224 0.000
#> EDDCFDBA-B3E7-4E3F-97CB-D017C9DC9EF7 1 0.3327 0.61580 0.852 0.000 0.060 0.084 0.004
#> 7046C2F2-A8DE-4AE1-B27D-094CF2EF3B3D 2 0.4297 -0.05891 0.000 0.528 0.000 0.000 0.472
#> 6869ABAF-343B-4C9B-8975-B26A2C895123 2 0.3649 0.67692 0.040 0.808 0.000 0.152 0.000
#> EC0B4E94-0FD0-4DBE-8E1A-14DBB0E63772 3 0.6523 0.08566 0.000 0.268 0.484 0.000 0.248
#> 245967F0-EE1A-4B0C-BEE2-0283393DA722 1 0.4291 0.02254 0.536 0.000 0.464 0.000 0.000
#> 9E5162FF-4316-42B2-882F-9CDBE2193686 2 0.0566 0.71912 0.000 0.984 0.000 0.004 0.012
#> 64FCCF76-C73F-401D-974A-BBB4F1CBC8A0 5 0.4292 0.70334 0.000 0.024 0.272 0.000 0.704
#> 20152BF5-FA56-4B98-8F20-FFEE20F8B1CB 4 0.3494 0.43575 0.096 0.000 0.060 0.840 0.004
#> 1576BB97-F8EA-48FF-9494-EBC7A0C97312 5 0.3366 0.59608 0.000 0.232 0.000 0.000 0.768
#> 4405F995-AE79-46F9-BFEE-81CAECF42BAE 1 0.4219 0.18351 0.584 0.000 0.000 0.000 0.416
#> 681D8638-84E1-43B9-93A9-3189560D8611 4 0.3222 0.43761 0.108 0.000 0.036 0.852 0.004
#> 49B8F49B-1C21-4145-BCDC-403B3D37CCD5 1 0.3701 0.58642 0.824 0.000 0.060 0.112 0.004
#> C11294C4-9285-4BC2-B0F6-98054A63CF50 1 0.0000 0.71009 1.000 0.000 0.000 0.000 0.000
#> 688EFD86-95DA-4442-87F0-DBF9E6B549FD 3 0.2127 0.71015 0.000 0.000 0.892 0.000 0.108
#> F23B0A1A-25AE-41D9-8C49-B692C4FDE1E4 1 0.4302 0.05971 0.520 0.000 0.000 0.480 0.000
#> 1809618E-A051-4758-BC59-B04E23FB3A42 2 0.0609 0.71664 0.000 0.980 0.000 0.000 0.020
#> 9DD73399-620E-472C-8360-5565F91BBD3A 4 0.3910 0.28142 0.008 0.000 0.272 0.720 0.000
#> E85AE97F-43CF-4250-B2BF-63E6FA8044E8 3 0.8482 0.20127 0.236 0.296 0.352 0.100 0.016
#> D4E58BFB-9859-4D77-A581-1D713AA54B0B 3 0.4300 0.13281 0.000 0.000 0.524 0.476 0.000
#> 57CDEE2D-9B87-40D7-8DDA-17B7000F6965 2 0.0162 0.71850 0.000 0.996 0.000 0.000 0.004
#> 412F9B5E-324D-40CC-A8F3-FA9C1FCC83C0 4 0.3340 0.45595 0.064 0.048 0.024 0.864 0.000
#> 668765BB-DEC9-4746-B932-C8CE643B6564 2 0.4171 0.18829 0.000 0.604 0.000 0.000 0.396
#> 80379304-DD5D-49A3-8DE7-376FD06AEE17 5 0.4481 0.42901 0.004 0.080 0.004 0.140 0.772
#> BB657D53-8FE7-46AA-918E-8BE6EB5B70AD 4 0.1764 0.45804 0.064 0.008 0.000 0.928 0.000
#> 5ACFF57E-8B40-4A68-98B9-1F80D80B3F00 4 0.7650 0.29008 0.248 0.000 0.060 0.424 0.268
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#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 4 0.5824 0.31030 0.224 0.000 0.168 0.608 0.000
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.1410 0.75808 0.000 0.000 0.940 0.000 0.060
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 5 0.4292 0.70334 0.000 0.024 0.272 0.000 0.704
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 5 0.4292 0.70334 0.000 0.024 0.272 0.000 0.704
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.0404 0.71827 0.000 0.988 0.000 0.000 0.012
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 4 0.6223 0.38746 0.108 0.000 0.024 0.584 0.284
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.3534 0.48519 0.000 0.744 0.000 0.000 0.256
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 4 0.4542 0.06211 0.456 0.000 0.008 0.536 0.000
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 5 0.4292 0.70334 0.000 0.024 0.272 0.000 0.704
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.0324 0.70895 0.992 0.000 0.004 0.004 0.000
#> 057B580C-13FD-4185-943C-9DD5266B8554 3 0.3690 0.60194 0.224 0.000 0.764 0.000 0.012
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 3 0.6585 0.41184 0.256 0.008 0.552 0.176 0.008
#> 287F3696-25CF-4E67-A934-E50856AD4790 5 0.4612 0.69763 0.000 0.056 0.232 0.000 0.712
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.0290 0.71875 0.000 0.992 0.000 0.000 0.008
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 4 0.4251 0.16765 0.000 0.012 0.316 0.672 0.000
#> B80A74AB-A264-4396-93F8-FD976DBC1456 5 0.4292 0.70334 0.000 0.024 0.272 0.000 0.704
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.5697 0.05164 0.004 0.480 0.000 0.068 0.448
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.0000 0.71009 1.000 0.000 0.000 0.000 0.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.1830 0.68141 0.932 0.000 0.052 0.012 0.004
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 1 0.8230 -0.12395 0.336 0.292 0.000 0.116 0.256
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 5 0.4292 0.70334 0.000 0.024 0.272 0.000 0.704
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.3242 0.64542 0.000 0.784 0.000 0.216 0.000
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 4 0.4302 0.02074 0.480 0.000 0.000 0.520 0.000
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 4 0.7517 0.26831 0.276 0.012 0.020 0.408 0.284
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.3452 0.50796 0.000 0.756 0.000 0.000 0.244
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.4297 0.07827 0.528 0.000 0.000 0.472 0.000
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.3452 0.63415 0.000 0.756 0.000 0.244 0.000
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 5 0.4292 0.70334 0.000 0.024 0.272 0.000 0.704
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 4 0.8070 0.22146 0.312 0.048 0.016 0.344 0.280
#> DD292494-92A2-43CB-B59B-726B2F429B29 2 0.7303 0.30342 0.096 0.508 0.000 0.116 0.280
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 4 0.6262 0.31027 0.192 0.000 0.244 0.560 0.004
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 4 0.6399 0.35116 0.188 0.000 0.004 0.528 0.280
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 5 0.4736 0.35863 0.124 0.020 0.000 0.092 0.764
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 4 0.6639 -0.09818 0.000 0.004 0.188 0.412 0.396
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 1 0.3327 0.61580 0.852 0.000 0.060 0.084 0.004
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.3752 0.46171 0.708 0.000 0.292 0.000 0.000
#> 74CF740D-201D-4070-99B9-F007E7C4D472 3 0.4533 0.19932 0.000 0.008 0.544 0.448 0.000
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 2 0.3561 0.62024 0.000 0.740 0.000 0.260 0.000
#> 78F28873-E471-497A-9405-FB8955808599 5 0.4292 0.70334 0.000 0.024 0.272 0.000 0.704
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.4150 0.21111 0.000 0.612 0.000 0.000 0.388
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.3837 0.38856 0.000 0.692 0.000 0.000 0.308
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 2 0.6804 0.24710 0.188 0.484 0.000 0.312 0.016
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.1075 0.87345 0.000 0.000 0.952 0.000 0.048 0.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.0000 0.80509 1.000 0.000 0.000 0.000 0.000 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 4 0.4215 0.64968 0.056 0.000 0.000 0.700 0.000 0.244
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.0000 0.80509 1.000 0.000 0.000 0.000 0.000 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.0000 0.80509 1.000 0.000 0.000 0.000 0.000 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 6 0.3838 0.36451 0.448 0.000 0.000 0.000 0.000 0.552
#> 966A3A03-3879-4816-A1E9-D805F6018836 5 0.4042 0.51561 0.000 0.316 0.000 0.016 0.664 0.004
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.1010 0.71259 0.000 0.960 0.000 0.000 0.004 0.036
#> 18971368-40F0-42D3-B1A3-707850C53B18 6 0.3175 0.59351 0.256 0.000 0.000 0.000 0.000 0.744
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 1 0.5951 -0.08118 0.412 0.000 0.000 0.368 0.000 0.220
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 6 0.5762 0.58274 0.108 0.036 0.000 0.248 0.004 0.604
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 5 0.1398 0.82982 0.000 0.052 0.008 0.000 0.940 0.000
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 6 0.3854 0.32679 0.464 0.000 0.000 0.000 0.000 0.536
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 4 0.4239 0.64838 0.056 0.000 0.000 0.696 0.000 0.248
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 6 0.3868 0.24128 0.496 0.000 0.000 0.000 0.000 0.504
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 5 0.0632 0.85225 0.000 0.000 0.024 0.000 0.976 0.000
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 2 0.6083 0.32702 0.000 0.452 0.048 0.408 0.000 0.092
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 2 0.5604 0.62626 0.000 0.644 0.048 0.168 0.000 0.140
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.0000 0.80509 1.000 0.000 0.000 0.000 0.000 0.000
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.3101 0.49839 0.756 0.000 0.000 0.000 0.000 0.244
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 6 0.6681 0.41494 0.000 0.116 0.000 0.172 0.180 0.532
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 5 0.1088 0.84305 0.000 0.024 0.016 0.000 0.960 0.000
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 6 0.3690 0.55122 0.308 0.000 0.000 0.008 0.000 0.684
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 3 0.3672 0.41300 0.368 0.000 0.632 0.000 0.000 0.000
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 4 0.3214 0.68849 0.004 0.004 0.000 0.812 0.164 0.016
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 4 0.2902 0.62998 0.196 0.000 0.000 0.800 0.000 0.004
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.0000 0.80509 1.000 0.000 0.000 0.000 0.000 0.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 1 0.2300 0.69839 0.856 0.000 0.000 0.000 0.000 0.144
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.1970 0.70172 0.000 0.900 0.000 0.000 0.008 0.092
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 5 0.0632 0.85225 0.000 0.000 0.024 0.000 0.976 0.000
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 2 0.5445 0.63891 0.000 0.664 0.048 0.148 0.000 0.140
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.4344 0.15168 0.000 0.556 0.000 0.016 0.424 0.004
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.0000 0.80509 1.000 0.000 0.000 0.000 0.000 0.000
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 5 0.2149 0.79043 0.000 0.080 0.000 0.016 0.900 0.004
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 2 0.7803 0.28674 0.240 0.428 0.036 0.220 0.020 0.056
#> BE56F908-42DD-4019-A8AC-48884DA788B1 4 0.3525 0.68024 0.000 0.004 0.000 0.784 0.180 0.032
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 2 0.7284 0.53689 0.000 0.528 0.048 0.108 0.172 0.144
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 6 0.3998 -0.37647 0.004 0.000 0.000 0.492 0.000 0.504
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 3 0.1341 0.86176 0.000 0.000 0.948 0.000 0.024 0.028
#> 791D9EB8-42E0-4192-B064-B1126CA14481 2 0.5411 0.64132 0.000 0.668 0.048 0.144 0.000 0.140
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 5 0.3437 0.63551 0.000 0.236 0.000 0.008 0.752 0.004
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 5 0.4025 0.50807 0.000 0.312 0.000 0.016 0.668 0.004
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.3607 0.25117 0.652 0.000 0.000 0.000 0.000 0.348
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.0146 0.80319 0.996 0.000 0.000 0.004 0.000 0.000
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 3 0.1075 0.87345 0.000 0.000 0.952 0.000 0.048 0.000
#> D47C7B74-BB01-4614-B683-652F7130729C 5 0.5062 0.55693 0.000 0.240 0.080 0.016 0.660 0.004
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 4 0.1605 0.68590 0.000 0.016 0.004 0.936 0.000 0.044
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 4 0.2034 0.67100 0.000 0.024 0.004 0.912 0.000 0.060
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.0000 0.80509 1.000 0.000 0.000 0.000 0.000 0.000
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.3329 0.61018 0.000 0.792 0.004 0.020 0.184 0.000
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.0000 0.80509 1.000 0.000 0.000 0.000 0.000 0.000
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 4 0.2250 0.70967 0.040 0.000 0.000 0.896 0.000 0.064
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 2 0.0146 0.71407 0.000 0.996 0.000 0.004 0.000 0.000
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 5 0.0632 0.85225 0.000 0.000 0.024 0.000 0.976 0.000
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 3 0.1863 0.83426 0.044 0.000 0.920 0.000 0.000 0.036
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 1 0.0363 0.79884 0.988 0.000 0.000 0.012 0.000 0.000
#> 58F11B66-AE40-417E-B465-811C6CF7311C 1 0.2553 0.69494 0.848 0.000 0.000 0.144 0.000 0.008
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 6 0.3828 0.37994 0.440 0.000 0.000 0.000 0.000 0.560
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 5 0.3899 0.14457 0.000 0.004 0.000 0.404 0.592 0.000
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 4 0.4346 0.50344 0.000 0.028 0.000 0.632 0.336 0.004
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 2 0.1010 0.70976 0.000 0.960 0.000 0.000 0.036 0.004
#> 739952C6-FF36-4E34-B881-E02FE17C4012 6 0.4037 0.47085 0.380 0.000 0.000 0.012 0.000 0.608
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 1 0.3717 0.14380 0.616 0.000 0.000 0.000 0.000 0.384
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 2 0.4537 -0.06528 0.000 0.488 0.000 0.024 0.484 0.004
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 6 0.4892 0.61499 0.164 0.000 0.000 0.176 0.000 0.660
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 1 0.3888 0.49362 0.672 0.000 0.000 0.016 0.000 0.312
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 1 0.0000 0.80509 1.000 0.000 0.000 0.000 0.000 0.000
#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 6 0.2581 0.62310 0.128 0.000 0.000 0.016 0.000 0.856
#> F6B26185-139B-47A7-91EC-E885D94AC882 6 0.4808 0.49301 0.000 0.000 0.272 0.092 0.000 0.636
#> 81F30B6F-3E9A-4913-986B-C56D5F107A17 6 0.5431 0.46652 0.000 0.028 0.000 0.092 0.268 0.612
#> 2CCB3AE1-0D27-4493-B7AE-67C60BBC1C38 5 0.0632 0.85225 0.000 0.000 0.024 0.000 0.976 0.000
#> 329665BC-B959-47C5-B831-5546F94EDAC1 2 0.5578 0.63044 0.000 0.648 0.048 0.148 0.000 0.156
#> 8D4335F6-6ACB-4E38-B9F2-A2B5B647AE90 1 0.4631 0.59008 0.760 0.052 0.028 0.028 0.000 0.132
#> D181D0D8-FD8C-4259-9B34-97224CF27E1B 2 0.5021 0.65817 0.000 0.708 0.048 0.144 0.000 0.100
#> C0C10950-ABC5-4125-A33E-5AFA2D2574B0 5 0.4148 0.46197 0.000 0.344 0.000 0.016 0.636 0.004
#> 834D12DB-0925-422C-B15B-20A60A5F658C 2 0.5377 0.64386 0.000 0.672 0.048 0.140 0.000 0.140
#> 50314689-519F-4B27-884C-7816DD64CF4E 1 0.0000 0.80509 1.000 0.000 0.000 0.000 0.000 0.000
#> 2502A23E-E168-4A78-9C14-B93FBC9715B1 3 0.2510 0.78593 0.100 0.000 0.872 0.000 0.000 0.028
#> 3F8D01A3-5449-48A1-BDBA-BFE4D908AE31 4 0.3819 0.47114 0.000 0.004 0.000 0.624 0.372 0.000
#> 1C47A87B-C033-4705-B903-DB33B8C6EC34 4 0.1958 0.69879 0.004 0.000 0.000 0.896 0.000 0.100
#> 1329E1C1-743E-4541-9081-165572D4BF47 2 0.5800 0.44066 0.000 0.512 0.048 0.372 0.000 0.068
#> 1F3F8680-EEB6-4532-B81D-51957D1EA502 1 0.3789 0.04050 0.584 0.000 0.000 0.000 0.000 0.416
#> 50F69785-8B7A-4933-85B1-8DC539ACC72A 1 0.3866 -0.19844 0.516 0.000 0.000 0.000 0.000 0.484
#> 9095FDD8-EEB2-4B17-85AB-3CDAC0BEC759 4 0.7422 0.30530 0.008 0.000 0.252 0.368 0.092 0.280
#> B6BF8C22-03E4-44F0-B2EF-2A3DD6ADE7D7 6 0.3899 0.44103 0.404 0.000 0.000 0.004 0.000 0.592
#> D6A907FC-3A1B-4E3B-A440-1CE9BE9B334B 2 0.6423 0.41639 0.000 0.516 0.044 0.076 0.332 0.032
#> 02588D5D-89CB-4D0B-9E96-A0270C3FF866 2 0.0291 0.71348 0.000 0.992 0.000 0.004 0.000 0.004
#> D50BBFC7-7774-4B12-938C-8D5373C12DFC 5 0.2454 0.77175 0.000 0.104 0.000 0.016 0.876 0.004
#> 6E930060-502B-49F5-A385-9B91DEBD05E4 1 0.0000 0.80509 1.000 0.000 0.000 0.000 0.000 0.000
#> F6606A8E-ACC6-4826-9547-E0017521724D 6 0.3445 0.55755 0.000 0.000 0.012 0.244 0.000 0.744
#> 981584D3-10DB-455C-8132-E8E5F44E1222 2 0.5411 0.64132 0.000 0.668 0.048 0.144 0.000 0.140
#> 47F6E197-7164-4289-95B5-8FD305A13B4C 6 0.3765 0.43608 0.404 0.000 0.000 0.000 0.000 0.596
#> 4522D871-9379-4643-B15E-9ACB556276C4 3 0.2979 0.78070 0.044 0.000 0.840 0.000 0.000 0.116
#> 7560B2B5-6AF5-4600-9F0A-BE25CF99B6B9 6 0.4915 0.58969 0.108 0.000 0.000 0.260 0.000 0.632
#> 38F5957E-0A99-432D-8F0B-B48E03F17668 1 0.0000 0.80509 1.000 0.000 0.000 0.000 0.000 0.000
#> 7A6BBBE6-2B3B-44EB-A101-C823739AB24F 2 0.1232 0.70665 0.000 0.956 0.000 0.016 0.024 0.004
#> 0782D25A-3B14-499E-A40C-3852B3A15B8B 2 0.5254 0.69616 0.000 0.728 0.044 0.088 0.100 0.040
#> 31D4B639-D1E5-479B-AEC2-34F758F2E470 6 0.2146 0.60929 0.000 0.000 0.116 0.004 0.000 0.880
#> C49078E1-E730-4E81-8EAE-5AAAB9FA1BF5 5 0.3857 0.09829 0.000 0.000 0.468 0.000 0.532 0.000
#> 48BCD3B8-917F-4E8F-BCEA-1363570A6486 2 0.6004 0.61060 0.008 0.616 0.048 0.164 0.000 0.164
#> F3BA6259-9F68-47D0-ABDD-1272AE112CAB 2 0.1313 0.70626 0.000 0.952 0.000 0.016 0.028 0.004
#> 3CA49BB1-30F6-47F3-A751-D5601E16BDBA 2 0.5411 0.64132 0.000 0.668 0.048 0.144 0.000 0.140
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#> 1C8DCA5B-965B-485A-83B6-5CBEB2117E47 4 0.4063 0.57913 0.000 0.184 0.016 0.760 0.004 0.036
#> DEAB79F5-336A-49B4-8046-AEE2F567FE46 6 0.3789 0.38873 0.416 0.000 0.000 0.000 0.000 0.584
#> 767FE89E-E19F-4F56-A744-CB3C5CCC085B 4 0.2507 0.71704 0.032 0.004 0.000 0.888 0.004 0.072
#> 7B0BF632-79E5-46B5-AAC8-4A6D5A193449 5 0.0632 0.85225 0.000 0.000 0.024 0.000 0.976 0.000
#> 9A281EDE-FF96-4E66-AEF4-692BDFA8E99D 2 0.5269 0.65050 0.000 0.684 0.048 0.136 0.000 0.132
#> B8C2D019-00C9-4E1E-8383-4FE2FFB4D2D7 3 0.1075 0.87345 0.000 0.000 0.952 0.000 0.048 0.000
#> 39A9B95F-186B-4550-9271-001151B1A626 2 0.3309 0.59398 0.000 0.788 0.000 0.016 0.192 0.004
#> CAD6E491-88FB-4221-90E9-AC9C68AECCB0 4 0.3083 0.70620 0.040 0.000 0.000 0.828 0.000 0.132
#> 15EFBC5B-C713-4718-BB6F-0EBBE4D6997F 2 0.5233 0.64588 0.000 0.680 0.044 0.216 0.020 0.040
#> BBA00038-09B1-461D-9F8E-484890B0D130 4 0.4130 0.65411 0.044 0.000 0.000 0.696 0.000 0.260
#> 16EBB885-A692-42A6-9027-F6AD769E0ABB 1 0.3426 0.55575 0.720 0.000 0.000 0.004 0.000 0.276
#> 2D57E24B-97A6-4B85-BC8F-3E02DDC6C460 5 0.1672 0.81144 0.000 0.048 0.000 0.016 0.932 0.004
#> C6E39F86-9DEF-4BCA-930B-2A3993D18901 2 0.3759 0.69535 0.000 0.816 0.048 0.084 0.000 0.052
#> 5BE4D8E9-DA18-426F-8AE6-075B15010390 6 0.1984 0.61901 0.032 0.000 0.000 0.056 0.000 0.912
#> 8E9CAAC7-31D3-473C-821C-2DAD37B44D3A 2 0.3895 0.46581 0.000 0.696 0.000 0.016 0.284 0.004
#> 368CFCA3-7BAB-4D6D-9AE1-55713A9965C1 3 0.1341 0.86176 0.000 0.000 0.948 0.000 0.024 0.028
#> 14DB79EF-DE2B-4197-AD32-F657E0655FCD 4 0.4010 0.55777 0.000 0.152 0.024 0.776 0.000 0.048
#> E73BCFCB-C5FE-4BF2-A236-B9E69711C121 4 0.3422 0.69558 0.040 0.000 0.000 0.792 0.000 0.168
#> CDAFAFEA-365B-4F25-AEC0-639B6E0CB626 4 0.2198 0.71311 0.012 0.008 0.000 0.908 0.008 0.064
#> 48A2AAEB-7F60-4284-808E-2058A531B17C 2 0.3124 0.63008 0.000 0.816 0.004 0.012 0.164 0.004
#> D4276C6F-9F0F-4F74-A85E-1E54272ADDED 2 0.4356 0.12987 0.000 0.548 0.000 0.016 0.432 0.004
#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 2 0.4478 0.70812 0.000 0.784 0.036 0.076 0.076 0.028
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 4 0.3646 0.54824 0.000 0.292 0.000 0.700 0.004 0.004
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 5 0.3847 0.09058 0.000 0.000 0.456 0.000 0.544 0.000
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 6 0.3823 0.38669 0.436 0.000 0.000 0.000 0.000 0.564
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 3 0.1341 0.86176 0.000 0.000 0.948 0.000 0.024 0.028
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 6 0.5510 0.59801 0.172 0.028 0.000 0.164 0.000 0.636
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 1 0.0000 0.80509 1.000 0.000 0.000 0.000 0.000 0.000
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 4 0.1838 0.69822 0.016 0.000 0.000 0.916 0.000 0.068
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 6 0.6467 0.03601 0.000 0.304 0.060 0.144 0.000 0.492
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 4 0.4710 0.62658 0.000 0.112 0.000 0.688 0.196 0.004
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 2 0.0551 0.71298 0.000 0.984 0.000 0.004 0.008 0.004
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 4 0.3852 0.39313 0.384 0.000 0.000 0.612 0.000 0.004
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 2 0.0622 0.71594 0.000 0.980 0.012 0.008 0.000 0.000
#> C7997523-47CF-40F0-8803-AB873E38033C 2 0.5411 0.64132 0.000 0.668 0.048 0.144 0.000 0.140
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 5 0.0914 0.83193 0.000 0.016 0.000 0.016 0.968 0.000
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 5 0.0632 0.85225 0.000 0.000 0.024 0.000 0.976 0.000
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 3 0.1444 0.83011 0.072 0.000 0.928 0.000 0.000 0.000
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 1 0.1765 0.72656 0.904 0.000 0.000 0.000 0.000 0.096
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 2 0.3975 -0.03969 0.000 0.544 0.000 0.000 0.452 0.004
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 4 0.5189 0.11239 0.000 0.372 0.028 0.564 0.008 0.028
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 3 0.1075 0.87345 0.000 0.000 0.952 0.000 0.048 0.000
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 2 0.5269 0.65039 0.000 0.684 0.048 0.136 0.000 0.132
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 6 0.3220 0.59616 0.108 0.000 0.004 0.056 0.000 0.832
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.0146 0.80295 0.996 0.000 0.000 0.000 0.000 0.004
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 4 0.5620 0.49510 0.168 0.000 0.000 0.512 0.000 0.320
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 6 0.3244 0.58535 0.268 0.000 0.000 0.000 0.000 0.732
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 5 0.0632 0.85225 0.000 0.000 0.024 0.000 0.976 0.000
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 4 0.4274 0.30242 0.000 0.004 0.012 0.552 0.432 0.000
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 5 0.4384 0.15479 0.000 0.460 0.000 0.016 0.520 0.004
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 2 0.3705 0.52905 0.000 0.748 0.000 0.224 0.024 0.004
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.3804 0.00486 0.576 0.000 0.000 0.000 0.000 0.424
#> E15EAAB4-0860-4716-9922-667F604CDF12 6 0.6091 -0.19893 0.292 0.000 0.000 0.320 0.000 0.388
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 2 0.7512 0.46876 0.000 0.472 0.048 0.100 0.244 0.136
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 4 0.5487 0.52130 0.148 0.000 0.000 0.532 0.000 0.320
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 3 0.1075 0.87345 0.000 0.000 0.952 0.000 0.048 0.000
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.0000 0.80509 1.000 0.000 0.000 0.000 0.000 0.000
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 2 0.4325 0.18808 0.000 0.568 0.000 0.016 0.412 0.004
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 2 0.1370 0.70656 0.000 0.948 0.000 0.012 0.036 0.004
#> E2A4C651-977F-4F40-B5EC-46DF75944141 6 0.2214 0.65855 0.096 0.000 0.000 0.016 0.000 0.888
#> 433599CC-9DF5-4494-A607-8079FFE74D95 5 0.1757 0.80460 0.000 0.008 0.000 0.076 0.916 0.000
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 5 0.5935 0.34268 0.000 0.024 0.048 0.280 0.592 0.056
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 5 0.0632 0.85225 0.000 0.000 0.024 0.000 0.976 0.000
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.0000 0.80509 1.000 0.000 0.000 0.000 0.000 0.000
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 4 0.4127 0.64787 0.036 0.000 0.000 0.680 0.000 0.284
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 6 0.2112 0.65045 0.088 0.000 0.016 0.000 0.000 0.896
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.1075 0.87345 0.000 0.000 0.952 0.000 0.048 0.000
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 5 0.0632 0.85225 0.000 0.000 0.024 0.000 0.976 0.000
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 5 0.0632 0.85225 0.000 0.000 0.024 0.000 0.976 0.000
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.1232 0.70665 0.000 0.956 0.000 0.016 0.024 0.004
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 4 0.2773 0.69830 0.004 0.004 0.000 0.828 0.000 0.164
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.4134 0.36031 0.000 0.640 0.000 0.016 0.340 0.004
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 6 0.3797 0.56839 0.292 0.000 0.000 0.016 0.000 0.692
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 5 0.0632 0.85225 0.000 0.000 0.024 0.000 0.976 0.000
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.0713 0.79207 0.972 0.000 0.000 0.000 0.000 0.028
#> 057B580C-13FD-4185-943C-9DD5266B8554 3 0.2081 0.84137 0.036 0.000 0.916 0.000 0.012 0.036
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 3 0.5284 0.56720 0.020 0.000 0.648 0.128 0.000 0.204
#> 287F3696-25CF-4E67-A934-E50856AD4790 5 0.1408 0.83752 0.000 0.036 0.020 0.000 0.944 0.000
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.0717 0.71137 0.000 0.976 0.000 0.008 0.016 0.000
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 6 0.3728 0.53652 0.000 0.004 0.044 0.180 0.000 0.772
#> B80A74AB-A264-4396-93F8-FD976DBC1456 5 0.0632 0.85225 0.000 0.000 0.024 0.000 0.976 0.000
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.5519 -0.10062 0.000 0.452 0.000 0.432 0.112 0.004
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.0000 0.80509 1.000 0.000 0.000 0.000 0.000 0.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.2491 0.68110 0.836 0.000 0.000 0.000 0.000 0.164
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 1 0.7282 0.05845 0.412 0.336 0.000 0.140 0.092 0.020
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 5 0.0632 0.85225 0.000 0.000 0.024 0.000 0.976 0.000
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.4614 0.67899 0.000 0.748 0.048 0.088 0.000 0.116
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 6 0.3789 0.42239 0.416 0.000 0.000 0.000 0.000 0.584
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 4 0.4016 0.68043 0.036 0.000 0.016 0.752 0.000 0.196
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.3767 0.50522 0.000 0.720 0.000 0.016 0.260 0.004
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 6 0.3860 0.31057 0.472 0.000 0.000 0.000 0.000 0.528
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.5411 0.64132 0.000 0.668 0.048 0.144 0.000 0.140
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 5 0.0632 0.85225 0.000 0.000 0.024 0.000 0.976 0.000
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 4 0.5119 0.68060 0.068 0.060 0.000 0.704 0.004 0.164
#> DD292494-92A2-43CB-B59B-726B2F429B29 4 0.5073 0.44370 0.004 0.180 0.048 0.700 0.000 0.068
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 6 0.2814 0.63493 0.080 0.000 0.052 0.004 0.000 0.864
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 4 0.2872 0.70016 0.024 0.000 0.000 0.836 0.000 0.140
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 4 0.4855 0.46224 0.012 0.028 0.000 0.592 0.360 0.008
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 5 0.6242 -0.08864 0.000 0.004 0.124 0.032 0.444 0.396
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 1 0.3784 0.50351 0.680 0.000 0.000 0.012 0.000 0.308
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 3 0.3782 0.30167 0.412 0.000 0.588 0.000 0.000 0.000
#> 74CF740D-201D-4070-99B9-F007E7C4D472 6 0.3868 0.12942 0.000 0.000 0.496 0.000 0.000 0.504
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 2 0.5616 0.63579 0.000 0.656 0.048 0.148 0.004 0.144
#> 78F28873-E471-497A-9405-FB8955808599 5 0.0632 0.85225 0.000 0.000 0.024 0.000 0.976 0.000
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.4332 0.17704 0.000 0.564 0.000 0.016 0.416 0.004
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.3309 0.59479 0.000 0.788 0.000 0.016 0.192 0.004
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 2 0.6540 0.39900 0.196 0.564 0.008 0.148 0.000 0.084
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["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 17397 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 6.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.372 0.534 0.757 0.4840 0.519 0.519
#> 3 3 0.347 0.335 0.706 0.2686 0.628 0.411
#> 4 4 0.401 0.529 0.741 0.1076 0.713 0.398
#> 5 5 0.553 0.557 0.783 0.1019 0.819 0.492
#> 6 6 0.656 0.594 0.798 0.0698 0.850 0.487
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 6
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
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 1 0.9850 0.6129 0.572 0.428
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.9815 0.6191 0.580 0.420
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 1 0.0376 0.5852 0.996 0.004
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.0000 0.5837 1.000 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.0672 0.5865 0.992 0.008
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.9815 0.6191 0.580 0.420
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.9815 0.5556 0.420 0.580
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.5059 0.5033 0.112 0.888
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.9815 0.6191 0.580 0.420
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 1 0.2236 0.5583 0.964 0.036
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 1 0.2236 0.5586 0.964 0.036
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 2 0.0000 0.6146 0.000 1.000
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.5294 0.5963 0.880 0.120
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 1 0.0000 0.5837 1.000 0.000
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.9815 0.6191 0.580 0.420
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 2 0.0938 0.6092 0.012 0.988
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 2 0.9248 0.0681 0.340 0.660
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 2 0.7219 0.3575 0.200 0.800
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.0000 0.5837 1.000 0.000
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.0000 0.5837 1.000 0.000
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 1 0.9866 0.6122 0.568 0.432
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 2 0.2778 0.5821 0.048 0.952
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 1 0.9815 0.6191 0.580 0.420
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 1 0.0376 0.5816 0.996 0.004
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 1 0.5059 0.4607 0.888 0.112
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 1 0.2236 0.5583 0.964 0.036
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.4431 0.4690 0.908 0.092
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 1 0.3431 0.5942 0.936 0.064
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.4939 0.5099 0.108 0.892
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 2 0.0938 0.6092 0.012 0.988
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 1 0.9996 0.5375 0.512 0.488
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.9580 0.5644 0.380 0.620
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.0000 0.5837 1.000 0.000
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 2 0.9815 0.5556 0.420 0.580
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 1 0.7745 0.1964 0.772 0.228
#> BE56F908-42DD-4019-A8AC-48884DA788B1 1 0.6247 0.3708 0.844 0.156
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 1 0.9833 0.6158 0.576 0.424
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 1 0.2778 0.5898 0.952 0.048
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 1 0.9815 0.6191 0.580 0.420
#> 791D9EB8-42E0-4192-B064-B1126CA14481 2 0.7219 0.3557 0.200 0.800
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 2 0.0000 0.6146 0.000 1.000
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 2 0.0000 0.6146 0.000 1.000
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.2236 0.5897 0.964 0.036
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.2236 0.5583 0.964 0.036
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 1 0.9998 0.5334 0.508 0.492
#> D47C7B74-BB01-4614-B683-652F7130729C 2 0.7453 0.6011 0.212 0.788
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 1 0.2778 0.5458 0.952 0.048
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 1 0.9970 0.5544 0.532 0.468
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.1633 0.5687 0.976 0.024
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.0376 0.6143 0.004 0.996
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.0000 0.5837 1.000 0.000
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 1 0.2603 0.5498 0.956 0.044
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 2 0.2043 0.5962 0.032 0.968
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 2 0.0000 0.6146 0.000 1.000
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 1 0.9815 0.6191 0.580 0.420
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 1 0.8144 0.1432 0.748 0.252
#> 58F11B66-AE40-417E-B465-811C6CF7311C 1 0.6148 0.3786 0.848 0.152
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.9815 0.6191 0.580 0.420
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 1 0.9522 -0.2011 0.628 0.372
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 2 0.9954 0.5204 0.460 0.540
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 2 0.0000 0.6146 0.000 1.000
#> 739952C6-FF36-4E34-B881-E02FE17C4012 1 0.9815 0.6191 0.580 0.420
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 1 0.2423 0.5932 0.960 0.040
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 2 0.9833 0.5545 0.424 0.576
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 1 0.9815 0.6191 0.580 0.420
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 1 0.0000 0.5837 1.000 0.000
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 1 0.0000 0.5837 1.000 0.000
#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 1 0.9815 0.6191 0.580 0.420
#> F6B26185-139B-47A7-91EC-E885D94AC882 1 0.9815 0.6191 0.580 0.420
#> 81F30B6F-3E9A-4913-986B-C56D5F107A17 1 0.9815 0.6191 0.580 0.420
#> 2CCB3AE1-0D27-4493-B7AE-67C60BBC1C38 2 0.0000 0.6146 0.000 1.000
#> 329665BC-B959-47C5-B831-5546F94EDAC1 2 1.0000 -0.4946 0.496 0.504
#> 8D4335F6-6ACB-4E38-B9F2-A2B5B647AE90 1 0.9909 0.6006 0.556 0.444
#> D181D0D8-FD8C-4259-9B34-97224CF27E1B 2 0.0938 0.6168 0.012 0.988
#> C0C10950-ABC5-4125-A33E-5AFA2D2574B0 2 0.9815 0.5556 0.420 0.580
#> 834D12DB-0925-422C-B15B-20A60A5F658C 2 0.3879 0.5556 0.076 0.924
#> 50314689-519F-4B27-884C-7816DD64CF4E 1 0.0000 0.5837 1.000 0.000
#> 2502A23E-E168-4A78-9C14-B93FBC9715B1 1 0.9815 0.6191 0.580 0.420
#> 3F8D01A3-5449-48A1-BDBA-BFE4D908AE31 1 0.8443 0.0886 0.728 0.272
#> 1C47A87B-C033-4705-B903-DB33B8C6EC34 1 0.0938 0.5760 0.988 0.012
#> 1329E1C1-743E-4541-9081-165572D4BF47 1 0.8861 -0.0228 0.696 0.304
#> 1F3F8680-EEB6-4532-B81D-51957D1EA502 1 0.0000 0.5837 1.000 0.000
#> 50F69785-8B7A-4933-85B1-8DC539ACC72A 1 0.9491 0.6162 0.632 0.368
#> 9095FDD8-EEB2-4B17-85AB-3CDAC0BEC759 1 0.9815 0.6191 0.580 0.420
#> B6BF8C22-03E4-44F0-B2EF-2A3DD6ADE7D7 1 0.9522 0.6163 0.628 0.372
#> D6A907FC-3A1B-4E3B-A440-1CE9BE9B334B 2 0.7376 0.6014 0.208 0.792
#> 02588D5D-89CB-4D0B-9E96-A0270C3FF866 2 0.0376 0.6143 0.004 0.996
#> D50BBFC7-7774-4B12-938C-8D5373C12DFC 2 0.9815 0.5556 0.420 0.580
#> 6E930060-502B-49F5-A385-9B91DEBD05E4 1 0.0000 0.5837 1.000 0.000
#> F6606A8E-ACC6-4826-9547-E0017521724D 1 0.9815 0.6191 0.580 0.420
#> 981584D3-10DB-455C-8132-E8E5F44E1222 2 0.7528 0.3271 0.216 0.784
#> 47F6E197-7164-4289-95B5-8FD305A13B4C 1 0.9608 0.6181 0.616 0.384
#> 4522D871-9379-4643-B15E-9ACB556276C4 1 0.9909 0.6006 0.556 0.444
#> 7560B2B5-6AF5-4600-9F0A-BE25CF99B6B9 1 0.9460 0.6161 0.636 0.364
#> 38F5957E-0A99-432D-8F0B-B48E03F17668 1 0.0000 0.5837 1.000 0.000
#> 7A6BBBE6-2B3B-44EB-A101-C823739AB24F 2 0.9833 0.5545 0.424 0.576
#> 0782D25A-3B14-499E-A40C-3852B3A15B8B 2 0.8144 0.5939 0.252 0.748
#> 31D4B639-D1E5-479B-AEC2-34F758F2E470 1 0.9815 0.6191 0.580 0.420
#> C49078E1-E730-4E81-8EAE-5AAAB9FA1BF5 1 0.9998 0.5345 0.508 0.492
#> 48BCD3B8-917F-4E8F-BCEA-1363570A6486 1 0.9815 0.6191 0.580 0.420
#> F3BA6259-9F68-47D0-ABDD-1272AE112CAB 2 0.9815 0.5556 0.420 0.580
#> 3CA49BB1-30F6-47F3-A751-D5601E16BDBA 2 0.6531 0.4179 0.168 0.832
#> 47747595-686A-46B5-9EF4-A4CFB85D746D 2 0.9996 -0.5046 0.488 0.512
#> 87974EFF-C2DE-4930-93E3-015E6D996440 2 0.5408 0.4860 0.124 0.876
#> 7D272E6C-826D-4D02-8383-6A3D5BBF3A5F 1 0.9850 0.6129 0.572 0.428
#> 070E540B-34DB-4016-B573-84924407F57F 1 0.9815 0.6191 0.580 0.420
#> 63F4281A-4D90-4589-879E-549097FB3459 1 0.1843 0.5655 0.972 0.028
#> 93A66EA0-0C74-4342-8140-72ECB01F99A1 1 0.9815 0.6191 0.580 0.420
#> C92AD683-FD09-4DD2-A5A5-C72EA5DD9B46 2 1.0000 0.4797 0.496 0.504
#> 38D2BE9E-15D4-47BC-8FEB-55310F23825B 1 0.5059 0.4623 0.888 0.112
#> B3029936-1EEF-4378-AA28-D5B2A32CDC86 1 0.9909 0.6006 0.556 0.444
#> 9A33172F-AEEA-4B7D-9605-0C60D7872CEA 1 0.9815 0.6191 0.580 0.420
#> F2BC32E5-4117-468E-B637-9EDB6E9CC6C7 1 0.9815 0.6191 0.580 0.420
#> EC319D0D-96C5-49DB-A2C4-BB6BFED6844F 1 0.0938 0.5760 0.988 0.012
#> 8CB71499-1B35-417D-95E1-D85CE71A2D8A 1 0.0938 0.5774 0.988 0.012
#> C5986AA8-D1C7-47BB-946F-1AE00503A444 2 0.9833 0.5545 0.424 0.576
#> CDB44ECD-3F01-4865-B4CC-5190E0FB64DC 1 0.8813 0.5911 0.700 0.300
#> 57633DCE-DC21-42AE-82EB-81F532CE9840 2 0.9815 0.5556 0.420 0.580
#> 715C1406-D224-466D-968E-46889824CD3D 1 0.4562 0.4772 0.904 0.096
#> 86A9A426-4B69-4572-9AFF-103C2724E5EA 1 0.9996 0.5406 0.512 0.488
#> A73A2348-FC50-42A5-ADF0-6647E5ECF0EA 1 0.2236 0.5552 0.964 0.036
#> 4BF75CF9-DA61-4A0B-940C-B09C7FE864F0 1 0.0376 0.5814 0.996 0.004
#> E3D18696-51D7-4BE3-A32B-3196E5F80438 1 0.9815 0.6191 0.580 0.420
#> C4C7C112-555F-46D5-8D5D-411C7737A4C9 1 0.9833 0.6158 0.576 0.424
#> 0A3E0A3D-D396-4340-8D98-4B79DBFC312C 2 0.0376 0.6143 0.004 0.996
#> 5513114D-2503-4D11-ADA4-35BE010510E5 1 0.9815 0.6191 0.580 0.420
#> EDDCFDBA-B3E7-4E3F-97CB-D017C9DC9EF7 1 0.1414 0.5880 0.980 0.020
#> 7046C2F2-A8DE-4AE1-B27D-094CF2EF3B3D 2 0.9775 0.5586 0.412 0.588
#> 6869ABAF-343B-4C9B-8975-B26A2C895123 2 1.0000 0.4741 0.500 0.500
#> EC0B4E94-0FD0-4DBE-8E1A-14DBB0E63772 2 0.0376 0.6143 0.004 0.996
#> 245967F0-EE1A-4B0C-BEE2-0283393DA722 1 0.9815 0.6191 0.580 0.420
#> 9E5162FF-4316-42B2-882F-9CDBE2193686 2 0.9833 0.5545 0.424 0.576
#> 64FCCF76-C73F-401D-974A-BBB4F1CBC8A0 2 0.8813 0.0318 0.300 0.700
#> 20152BF5-FA56-4B98-8F20-FFEE20F8B1CB 1 0.9795 0.6199 0.584 0.416
#> 1576BB97-F8EA-48FF-9494-EBC7A0C97312 2 0.9815 0.5556 0.420 0.580
#> 4405F995-AE79-46F9-BFEE-81CAECF42BAE 1 0.8955 -0.0526 0.688 0.312
#> 681D8638-84E1-43B9-93A9-3189560D8611 1 0.9608 0.6181 0.616 0.384
#> 49B8F49B-1C21-4145-BCDC-403B3D37CCD5 1 0.2043 0.5893 0.968 0.032
#> C11294C4-9285-4BC2-B0F6-98054A63CF50 1 0.1843 0.5655 0.972 0.028
#> 688EFD86-95DA-4442-87F0-DBF9E6B549FD 1 0.9896 0.6012 0.560 0.440
#> F23B0A1A-25AE-41D9-8C49-B692C4FDE1E4 1 0.9491 0.6162 0.632 0.368
#> 1809618E-A051-4758-BC59-B04E23FB3A42 2 0.9833 0.5545 0.424 0.576
#> 9DD73399-620E-472C-8360-5565F91BBD3A 1 0.9815 0.6191 0.580 0.420
#> E85AE97F-43CF-4250-B2BF-63E6FA8044E8 1 0.9988 -0.4257 0.520 0.480
#> D4E58BFB-9859-4D77-A581-1D713AA54B0B 1 0.9815 0.6191 0.580 0.420
#> 57CDEE2D-9B87-40D7-8DDA-17B7000F6965 2 0.3114 0.6166 0.056 0.944
#> 412F9B5E-324D-40CC-A8F3-FA9C1FCC83C0 1 0.9815 0.6191 0.580 0.420
#> 668765BB-DEC9-4746-B932-C8CE643B6564 2 0.9815 0.5556 0.420 0.580
#> 80379304-DD5D-49A3-8DE7-376FD06AEE17 2 0.9970 0.5003 0.468 0.532
#> BB657D53-8FE7-46AA-918E-8BE6EB5B70AD 1 0.9815 0.6191 0.580 0.420
#> 5ACFF57E-8B40-4A68-98B9-1F80D80B3F00 1 0.9815 0.6191 0.580 0.420
#> 74DDE13E-88AD-47C3-8824-5AE0C2B969D6 2 0.9580 0.5616 0.380 0.620
#> 19590D31-2415-4D46-8E50-494FC40BF639 2 0.9815 0.5556 0.420 0.580
#> 5E55B08E-C597-4DF7-8577-D8B15C404E59 1 0.9635 0.6167 0.612 0.388
#> 9061C1A3-8141-4780-B3F0-4D499B0556F3 1 0.2236 0.5583 0.964 0.036
#> FBE93EC7-CA18-41CE-8B85-50B4EC204278 1 0.4939 0.4412 0.892 0.108
#> E070D6ED-3B18-4D12-ABB4-2B62FF6033FC 1 0.9815 0.6191 0.580 0.420
#> 562291E5-AB47-4455-9C92-7904DAB14AB4 2 0.9850 -0.3365 0.428 0.572
#> AE8BD116-5550-4A0F-BEBE-F092675A1F45 1 0.0000 0.5837 1.000 0.000
#> 94B73102-D49E-4CE8-9B49-7C109B3EC27C 2 0.2236 0.5921 0.036 0.964
#> AAC76EDF-5E5A-4D7E-8450-2B699A70EAA3 1 0.2043 0.5616 0.968 0.032
#> 0A1391EA-5B15-4D28-B6AE-2732FCA49897 1 0.0376 0.5819 0.996 0.004
#> F781C72C-3357-4038-AD89-5651FE3A1E20 1 0.0938 0.5760 0.988 0.012
#> 1E221CC6-319B-4B53-8836-80FDFC99FD72 1 0.0000 0.5837 1.000 0.000
#> 98E88BAB-4CE8-4A32-BBAC-7C6E711C4708 1 0.1184 0.5874 0.984 0.016
#> EE4AB031-AC4D-46A4-9334-CDDAA1C5C806 2 0.3431 0.6200 0.064 0.936
#> 8E56D859-7862-4CD3-A86C-8780C6387420 2 0.6048 0.4494 0.148 0.852
#> B2A0B149-3C97-4E86-B1B2-6D382EDED8E0 1 0.9954 0.5810 0.540 0.460
#> F006335D-4815-4E3A-9761-722302DA6930 1 0.9815 0.6191 0.580 0.420
#> F6527F1F-B7E3-4281-B97A-282C97B71C00 2 0.9815 0.5556 0.420 0.580
#> 39286936-7CC8-4045-9D84-8340D2A49CCA 1 0.9815 0.6191 0.580 0.420
#> 85EED4EA-7881-48BE-BC80-29FDCB3FACD0 2 0.9983 0.5051 0.476 0.524
#> C12206E3-0D85-44AA-864F-97B833FA1F0A 2 0.9850 0.5514 0.428 0.572
#> 282EB724-805E-48BC-B2E7-E0637008652B 1 0.9993 0.5499 0.516 0.484
#> F01CD56E-E7F4-43CB-BB7E-183C37C1780D 2 0.0000 0.6146 0.000 1.000
#> 332B5EDB-2E8B-4D99-A58E-2DB147D08611 1 0.9909 0.6006 0.556 0.444
#> 4CD103C8-2FD7-4550-90D1-21B4B7DA86A9 1 0.9944 0.5802 0.544 0.456
#> 4135380D-3C13-4D97-BEB9-2C59457AD356 1 0.9833 0.6158 0.576 0.424
#> 0E4F9C8A-3DE5-4893-8ED9-BBF12169F199 1 0.2236 0.5583 0.964 0.036
#> BE0FF70F-61AB-48F4-B883-FDB77EE262FE 1 0.9815 0.6191 0.580 0.420
#> 553423BC-7594-4EA3-B04F-2857AE5EC7E5 2 0.0000 0.6146 0.000 1.000
#> 51EB8800-9AA0-4160-AE4A-E00DD193894F 1 0.6438 0.3365 0.836 0.164
#> 96071C27-44A0-4365-9314-296F12B3327E 1 0.9815 0.6191 0.580 0.420
#> 03AD3E27-DEFB-4952-8C37-08A90D493788 2 0.8443 0.1445 0.272 0.728
#> 9A222C45-33E0-493D-AA66-CDA9BC5188A3 2 0.7219 0.6031 0.200 0.800
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#> CD3B289F-FAE1-405F-875F-23C1D2609DFC 1 0.2236 0.5583 0.964 0.036
#> D1C0E70B-B2BB-4FE7-8DEC-B50659739BAA 2 0.0000 0.6146 0.000 1.000
#> D2417A9C-CBF0-47F6-B20C-FB32AF632A84 1 0.9833 0.5712 0.576 0.424
#> EF5618C6-6AFB-4FB5-A32B-7946F18E9736 1 0.0000 0.5837 1.000 0.000
#> 36040CAB-FF77-4540-BB44-7961A6A54B29 2 0.9815 0.5556 0.420 0.580
#> 3808C3A9-22DA-4DC5-9F51-884A7EF574E6 1 0.9815 0.6191 0.580 0.420
#> 24363857-9A33-40D4-8409-C17225570833 1 0.5059 0.4611 0.888 0.112
#> A57E6132-9B76-493A-A167-8462263B7CDB 1 0.9522 0.6163 0.628 0.372
#> 4C020890-E652-4DE4-B66D-5F6F71405F64 1 0.1184 0.5733 0.984 0.016
#> 90C991CD-412E-4318-96E3-EB84B868FE9F 2 0.9815 0.5556 0.420 0.580
#> FA8E73EA-649C-43ED-854E-B9472820D1C6 1 0.2603 0.5519 0.956 0.044
#> 4D46B5DE-186A-4D35-8E1B-64701C13BC69 2 0.0000 0.6146 0.000 1.000
#> D516A82D-2F77-46B2-90F7-30BA5C78AAC8 2 0.9833 0.5545 0.424 0.576
#> 1FBD0805-13AE-4A82-8B94-640E1C921262 1 0.9815 0.6191 0.580 0.420
#> 264525A9-F7DB-4012-A93B-CF8A7626F125 2 0.0000 0.6146 0.000 1.000
#> AFF029D8-FFC9-4AA9-8049-F1E27C743F6F 1 0.4815 0.4749 0.896 0.104
#> 5B65768D-0E81-4469-9D69-69B07ED5ACD5 2 0.9815 -0.3253 0.420 0.580
#> 2CB06CA6-8D1F-4BC7-99BE-66921805B8FD 2 0.7376 0.3129 0.208 0.792
#> 956357FB-9AB3-497C-BB55-9D15B486A422 1 0.9815 0.6191 0.580 0.420
#> C8F2BAD0-7124-46BF-975C-4B44BE980F93 1 0.9815 0.6191 0.580 0.420
#> E96AE267-3E23-4EA9-93E2-D92558155A17 1 0.9933 0.5925 0.548 0.452
#> 1C8DCA5B-965B-485A-83B6-5CBEB2117E47 2 0.9850 0.5425 0.428 0.572
#> DEAB79F5-336A-49B4-8046-AEE2F567FE46 1 0.9815 0.6191 0.580 0.420
#> 767FE89E-E19F-4F56-A744-CB3C5CCC085B 2 0.9850 0.5513 0.428 0.572
#> 7B0BF632-79E5-46B5-AAC8-4A6D5A193449 2 0.1843 0.5987 0.028 0.972
#> 9A281EDE-FF96-4E66-AEF4-692BDFA8E99D 2 0.0376 0.6143 0.004 0.996
#> B8C2D019-00C9-4E1E-8383-4FE2FFB4D2D7 1 0.9933 0.5855 0.548 0.452
#> 39A9B95F-186B-4550-9271-001151B1A626 2 0.9795 0.5576 0.416 0.584
#> CAD6E491-88FB-4221-90E9-AC9C68AECCB0 1 0.2423 0.5542 0.960 0.040
#> 15EFBC5B-C713-4718-BB6F-0EBBE4D6997F 2 0.9833 0.5545 0.424 0.576
#> BBA00038-09B1-461D-9F8E-484890B0D130 1 0.1633 0.5643 0.976 0.024
#> 16EBB885-A692-42A6-9027-F6AD769E0ABB 1 0.3584 0.5923 0.932 0.068
#> 2D57E24B-97A6-4B85-BC8F-3E02DDC6C460 2 0.9815 0.5556 0.420 0.580
#> C6E39F86-9DEF-4BCA-930B-2A3993D18901 2 0.0376 0.6143 0.004 0.996
#> 5BE4D8E9-DA18-426F-8AE6-075B15010390 1 0.9795 0.6196 0.584 0.416
#> 8E9CAAC7-31D3-473C-821C-2DAD37B44D3A 2 0.9775 0.5594 0.412 0.588
#> 368CFCA3-7BAB-4D6D-9AE1-55713A9965C1 1 0.9815 0.6191 0.580 0.420
#> 14DB79EF-DE2B-4197-AD32-F657E0655FCD 1 0.9988 -0.4351 0.520 0.480
#> E73BCFCB-C5FE-4BF2-A236-B9E69711C121 1 0.4815 0.4646 0.896 0.104
#> CDAFAFEA-365B-4F25-AEC0-639B6E0CB626 2 0.9866 0.5468 0.432 0.568
#> 48A2AAEB-7F60-4284-808E-2058A531B17C 2 0.1843 0.6007 0.028 0.972
#> D4276C6F-9F0F-4F74-A85E-1E54272ADDED 2 0.0938 0.6161 0.012 0.988
#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 2 0.9795 0.5584 0.416 0.584
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 2 0.9833 0.5545 0.424 0.576
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 1 0.9954 0.5843 0.540 0.460
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 1 0.9815 0.6191 0.580 0.420
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 1 0.9850 0.6141 0.572 0.428
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 1 0.9815 0.6191 0.580 0.420
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 1 0.3733 0.5795 0.928 0.072
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 1 0.0938 0.5772 0.988 0.012
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 1 0.9833 0.6158 0.576 0.424
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 2 0.9833 0.5545 0.424 0.576
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 2 0.0376 0.6143 0.004 0.996
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 1 0.1633 0.5687 0.976 0.024
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 2 0.0376 0.6143 0.004 0.996
#> C7997523-47CF-40F0-8803-AB873E38033C 2 0.8909 0.0128 0.308 0.692
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 2 0.9815 0.5556 0.420 0.580
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 2 0.0000 0.6146 0.000 1.000
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 1 0.9833 0.6162 0.576 0.424
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 1 0.2236 0.5897 0.964 0.036
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 2 0.0000 0.6146 0.000 1.000
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 2 0.9933 0.5315 0.452 0.548
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 1 0.9833 0.6158 0.576 0.424
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 2 0.2603 0.6172 0.044 0.956
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 1 0.9815 0.6191 0.580 0.420
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.0000 0.5837 1.000 0.000
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 1 0.2043 0.5555 0.968 0.032
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 1 0.9815 0.6191 0.580 0.420
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 2 0.5842 0.4607 0.140 0.860
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 2 1.0000 0.4813 0.500 0.500
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 2 0.9732 0.5604 0.404 0.596
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 2 0.9833 0.5545 0.424 0.576
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.9795 0.6197 0.584 0.416
#> E15EAAB4-0860-4716-9922-667F604CDF12 1 0.2778 0.5898 0.952 0.048
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 1 0.9833 0.6158 0.576 0.424
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 1 0.2236 0.5583 0.964 0.036
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 1 0.9815 0.6191 0.580 0.420
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.0000 0.5837 1.000 0.000
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 2 0.9732 0.5607 0.404 0.596
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 2 0.6801 0.6067 0.180 0.820
#> E2A4C651-977F-4F40-B5EC-46DF75944141 1 0.9815 0.6191 0.580 0.420
#> 433599CC-9DF5-4494-A607-8079FFE74D95 2 0.9896 0.5385 0.440 0.560
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 2 0.7602 0.2938 0.220 0.780
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 2 0.0000 0.6146 0.000 1.000
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.0000 0.5837 1.000 0.000
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 1 0.2948 0.5887 0.948 0.052
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 1 0.9815 0.6191 0.580 0.420
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 1 1.0000 0.5017 0.500 0.500
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 2 0.0000 0.6146 0.000 1.000
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 2 0.0000 0.6146 0.000 1.000
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.4815 0.5862 0.104 0.896
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 1 0.3114 0.5367 0.944 0.056
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.9795 0.5577 0.416 0.584
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.9815 0.6191 0.580 0.420
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 2 0.2236 0.5921 0.036 0.964
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.0000 0.5837 1.000 0.000
#> 057B580C-13FD-4185-943C-9DD5266B8554 1 0.9850 0.6135 0.572 0.428
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 1 0.9815 0.6191 0.580 0.420
#> 287F3696-25CF-4E67-A934-E50856AD4790 2 0.0000 0.6146 0.000 1.000
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.7950 0.5966 0.240 0.760
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 1 0.9815 0.6191 0.580 0.420
#> B80A74AB-A264-4396-93F8-FD976DBC1456 2 0.0000 0.6146 0.000 1.000
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.9833 0.5545 0.424 0.576
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.9795 0.6197 0.584 0.416
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.0000 0.5837 1.000 0.000
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 2 0.9775 0.5589 0.412 0.588
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 2 0.1414 0.6051 0.020 0.980
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.0672 0.6129 0.008 0.992
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.9815 0.6191 0.580 0.420
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 1 0.9522 -0.2421 0.628 0.372
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.0000 0.6146 0.000 1.000
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.9710 0.6204 0.600 0.400
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.0376 0.6143 0.004 0.996
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 2 0.9686 0.5620 0.396 0.604
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 1 0.8016 0.1506 0.756 0.244
#> DD292494-92A2-43CB-B59B-726B2F429B29 2 0.9909 0.3865 0.444 0.556
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.9815 0.6191 0.580 0.420
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 1 0.0376 0.5852 0.996 0.004
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 2 0.9933 0.5315 0.452 0.548
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 2 1.0000 -0.4846 0.500 0.500
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 1 0.0672 0.5796 0.992 0.008
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.9795 0.6201 0.584 0.416
#> 74CF740D-201D-4070-99B9-F007E7C4D472 1 0.9815 0.6191 0.580 0.420
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 2 0.9881 -0.3576 0.436 0.564
#> 78F28873-E471-497A-9405-FB8955808599 1 0.9998 0.5363 0.508 0.492
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.9833 0.5545 0.424 0.576
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.9815 0.5556 0.420 0.580
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 1 0.8386 0.5420 0.732 0.268
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 2 0.6111 0.31173 0.000 0.604 0.396
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.6308 -0.01409 0.508 0.492 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 1 0.3267 0.62387 0.884 0.116 0.000
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.0000 0.66988 1.000 0.000 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.0424 0.66808 0.992 0.008 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.6192 0.13528 0.580 0.420 0.000
#> 966A3A03-3879-4816-A1E9-D805F6018836 3 0.6111 0.74938 0.000 0.396 0.604
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.3551 0.16873 0.000 0.868 0.132
#> 18971368-40F0-42D3-B1A3-707850C53B18 2 0.6286 0.09519 0.464 0.536 0.000
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 1 0.3573 0.62729 0.876 0.120 0.004
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 1 0.3454 0.63225 0.888 0.104 0.008
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 3 0.5591 0.78640 0.000 0.304 0.696
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.4178 0.53880 0.828 0.172 0.000
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 1 0.0000 0.66988 1.000 0.000 0.000
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.6192 0.13528 0.580 0.420 0.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 3 0.0237 0.67755 0.000 0.004 0.996
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 2 0.5698 0.25003 0.252 0.736 0.012
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 2 0.0424 0.33964 0.008 0.992 0.000
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.0000 0.66988 1.000 0.000 0.000
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.0000 0.66988 1.000 0.000 0.000
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 2 0.6314 0.21062 0.392 0.604 0.004
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 2 0.4555 0.03996 0.000 0.800 0.200
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 2 0.6111 0.20690 0.396 0.604 0.000
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 1 0.0000 0.66988 1.000 0.000 0.000
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 1 0.5137 0.58788 0.832 0.104 0.064
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 1 0.1031 0.65805 0.976 0.024 0.000
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.0000 0.66988 1.000 0.000 0.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 1 0.0592 0.66699 0.988 0.012 0.000
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.7569 0.10764 0.088 0.664 0.248
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 3 0.3412 0.77768 0.000 0.124 0.876
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 2 0.5650 0.25697 0.312 0.688 0.000
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 3 0.6079 0.75531 0.000 0.388 0.612
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.0000 0.66988 1.000 0.000 0.000
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 2 0.9846 -0.42247 0.252 0.396 0.352
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 1 0.6470 0.38503 0.632 0.356 0.012
#> BE56F908-42DD-4019-A8AC-48884DA788B1 1 0.3722 0.61923 0.888 0.024 0.088
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 2 0.7104 0.22929 0.360 0.608 0.032
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 1 0.5497 0.46209 0.708 0.292 0.000
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 2 0.6111 0.20690 0.396 0.604 0.000
#> 791D9EB8-42E0-4192-B064-B1126CA14481 2 0.0592 0.34341 0.012 0.988 0.000
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 3 0.5905 0.77597 0.000 0.352 0.648
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 3 0.6299 0.65713 0.000 0.476 0.524
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.3879 0.57918 0.848 0.152 0.000
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.1289 0.65308 0.968 0.032 0.000
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 2 0.8566 0.29701 0.188 0.608 0.204
#> D47C7B74-BB01-4614-B683-652F7130729C 3 0.6095 0.75248 0.000 0.392 0.608
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 1 0.1411 0.65134 0.964 0.036 0.000
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 2 0.6008 0.20332 0.372 0.628 0.000
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.1411 0.65031 0.964 0.036 0.000
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.5216 -0.08595 0.000 0.740 0.260
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#> 9A281EDE-FF96-4E66-AEF4-692BDFA8E99D 2 0.5803 -0.04014 0.016 0.736 0.248
#> B8C2D019-00C9-4E1E-8383-4FE2FFB4D2D7 2 0.8595 0.29750 0.180 0.604 0.216
#> 39A9B95F-186B-4550-9271-001151B1A626 2 0.9842 -0.27738 0.328 0.412 0.260
#> CAD6E491-88FB-4221-90E9-AC9C68AECCB0 1 0.3500 0.63155 0.880 0.116 0.004
#> 15EFBC5B-C713-4718-BB6F-0EBBE4D6997F 1 0.9491 -0.24837 0.420 0.396 0.184
#> BBA00038-09B1-461D-9F8E-484890B0D130 1 0.3769 0.62606 0.880 0.104 0.016
#> 16EBB885-A692-42A6-9027-F6AD769E0ABB 1 0.3192 0.60093 0.888 0.112 0.000
#> 2D57E24B-97A6-4B85-BC8F-3E02DDC6C460 3 0.5882 0.77751 0.000 0.348 0.652
#> C6E39F86-9DEF-4BCA-930B-2A3993D18901 2 0.5216 -0.08595 0.000 0.740 0.260
#> 5BE4D8E9-DA18-426F-8AE6-075B15010390 1 0.6291 0.06224 0.532 0.468 0.000
#> 8E9CAAC7-31D3-473C-821C-2DAD37B44D3A 3 0.7250 0.72172 0.032 0.396 0.572
#> 368CFCA3-7BAB-4D6D-9AE1-55713A9965C1 2 0.8511 0.27622 0.244 0.604 0.152
#> 14DB79EF-DE2B-4197-AD32-F657E0655FCD 2 0.7192 0.01073 0.380 0.588 0.032
#> E73BCFCB-C5FE-4BF2-A236-B9E69711C121 1 0.5553 0.51056 0.724 0.272 0.004
#> CDAFAFEA-365B-4F25-AEC0-639B6E0CB626 1 0.9274 -0.18601 0.456 0.384 0.160
#> 48A2AAEB-7F60-4284-808E-2058A531B17C 2 0.4291 0.07292 0.000 0.820 0.180
#> D4276C6F-9F0F-4F74-A85E-1E54272ADDED 2 0.6129 -0.25960 0.008 0.668 0.324
#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 2 0.9863 -0.27541 0.340 0.400 0.260
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 2 0.9820 -0.25992 0.360 0.396 0.244
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 2 0.7209 0.31919 0.036 0.604 0.360
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 1 0.6192 0.13528 0.580 0.420 0.000
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 2 0.8478 0.27955 0.240 0.608 0.152
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 2 0.6291 0.07389 0.468 0.532 0.000
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 1 0.5760 0.44957 0.672 0.328 0.000
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 1 0.3619 0.61590 0.864 0.136 0.000
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 2 0.6095 0.21131 0.392 0.608 0.000
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 2 0.9868 -0.27481 0.344 0.396 0.260
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 2 0.5138 -0.06938 0.000 0.748 0.252
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 1 0.3192 0.62484 0.888 0.112 0.000
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 2 0.5138 -0.06938 0.000 0.748 0.252
#> C7997523-47CF-40F0-8803-AB873E38033C 2 0.4326 0.35398 0.144 0.844 0.012
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 3 0.5859 0.77888 0.000 0.344 0.656
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 3 0.3879 0.79274 0.000 0.152 0.848
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 1 0.9141 0.06756 0.488 0.360 0.152
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 1 0.3879 0.57918 0.848 0.152 0.000
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 3 0.5859 0.77888 0.000 0.344 0.656
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 2 0.9014 -0.14624 0.408 0.460 0.132
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 2 0.8528 0.27853 0.240 0.604 0.156
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 2 0.7851 -0.18444 0.100 0.644 0.256
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 1 0.6295 0.05289 0.528 0.472 0.000
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.0000 0.66988 1.000 0.000 0.000
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 1 0.0000 0.66988 1.000 0.000 0.000
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 2 0.6111 0.20690 0.396 0.604 0.000
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 2 0.7853 -0.48173 0.060 0.556 0.384
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 1 0.9409 -0.18034 0.460 0.360 0.180
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 3 0.6045 0.76066 0.000 0.380 0.620
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 2 0.9868 -0.27481 0.344 0.396 0.260
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.6180 0.14322 0.584 0.416 0.000
#> E15EAAB4-0860-4716-9922-667F604CDF12 1 0.4750 0.54392 0.784 0.216 0.000
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 2 0.6095 0.21131 0.392 0.608 0.000
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 1 0.4172 0.60668 0.840 0.156 0.004
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 2 0.6111 0.20690 0.396 0.604 0.000
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.0000 0.66988 1.000 0.000 0.000
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 3 0.6111 0.74938 0.000 0.396 0.604
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 3 0.8608 0.62613 0.100 0.412 0.488
#> E2A4C651-977F-4F40-B5EC-46DF75944141 2 0.6291 0.07389 0.468 0.532 0.000
#> 433599CC-9DF5-4494-A607-8079FFE74D95 1 0.9998 -0.44138 0.340 0.324 0.336
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 2 0.4891 0.36722 0.040 0.836 0.124
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 3 0.3879 0.79274 0.000 0.152 0.848
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.0000 0.66988 1.000 0.000 0.000
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 1 0.5497 0.46209 0.708 0.292 0.000
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 2 0.6111 0.20690 0.396 0.604 0.000
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.5216 0.31973 0.000 0.260 0.740
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 3 0.3879 0.79274 0.000 0.152 0.848
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 3 0.3879 0.79274 0.000 0.152 0.848
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.5559 0.03039 0.028 0.780 0.192
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 1 0.1989 0.64500 0.948 0.048 0.004
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 3 0.6111 0.74938 0.000 0.396 0.604
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.6192 0.13528 0.580 0.420 0.000
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 3 0.3941 0.79113 0.000 0.156 0.844
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.0000 0.66988 1.000 0.000 0.000
#> 057B580C-13FD-4185-943C-9DD5266B8554 2 0.6095 0.21131 0.392 0.608 0.000
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 2 0.6095 0.21131 0.392 0.608 0.000
#> 287F3696-25CF-4E67-A934-E50856AD4790 3 0.5497 0.78776 0.000 0.292 0.708
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.9626 -0.28132 0.268 0.472 0.260
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 2 0.6095 0.21131 0.392 0.608 0.000
#> B80A74AB-A264-4396-93F8-FD976DBC1456 3 0.3879 0.79274 0.000 0.152 0.848
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.9868 -0.27481 0.344 0.396 0.260
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 2 0.6154 0.18798 0.408 0.592 0.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.0237 0.66941 0.996 0.004 0.000
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 2 0.9690 -0.25081 0.324 0.444 0.232
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 3 0.5098 0.70920 0.000 0.248 0.752
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.4931 -0.02879 0.000 0.768 0.232
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.6192 0.13528 0.580 0.420 0.000
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 1 0.7832 0.11262 0.496 0.452 0.052
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.5216 -0.08595 0.000 0.740 0.260
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.6126 0.17460 0.600 0.400 0.000
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.5138 -0.06938 0.000 0.748 0.252
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 3 0.4413 0.79225 0.008 0.160 0.832
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 1 0.6247 0.35916 0.620 0.376 0.004
#> DD292494-92A2-43CB-B59B-726B2F429B29 2 0.6008 0.08933 0.332 0.664 0.004
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.6295 0.05289 0.528 0.472 0.000
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 1 0.4235 0.59026 0.824 0.176 0.000
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 2 0.8884 -0.13348 0.420 0.460 0.120
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 2 0.8263 0.30066 0.176 0.636 0.188
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 1 0.1964 0.65661 0.944 0.056 0.000
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.5926 0.24187 0.644 0.356 0.000
#> 74CF740D-201D-4070-99B9-F007E7C4D472 2 0.6095 0.21131 0.392 0.608 0.000
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 2 0.5325 0.30834 0.248 0.748 0.004
#> 78F28873-E471-497A-9405-FB8955808599 2 0.9001 0.26524 0.144 0.512 0.344
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.9878 -0.28065 0.340 0.396 0.264
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 3 0.6330 0.74667 0.004 0.396 0.600
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 1 0.7504 0.40211 0.628 0.312 0.060
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.2469 0.84308 0.000 0.000 0.892 0.108
#> 5A147DAD-7390-4C90-9921-45CB05066827 4 0.4992 0.49876 0.476 0.000 0.000 0.524
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 1 0.3172 0.63542 0.840 0.000 0.000 0.160
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.0000 0.70173 1.000 0.000 0.000 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.2081 0.66125 0.916 0.000 0.000 0.084
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 4 0.4877 0.58023 0.408 0.000 0.000 0.592
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.0000 0.64542 0.000 1.000 0.000 0.000
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.4564 0.49388 0.000 0.672 0.000 0.328
#> 18971368-40F0-42D3-B1A3-707850C53B18 4 0.4164 0.69861 0.264 0.000 0.000 0.736
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 1 0.3550 0.67157 0.860 0.096 0.000 0.044
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 1 0.6549 0.43121 0.612 0.120 0.000 0.268
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 2 0.5964 0.46151 0.000 0.684 0.108 0.208
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.4804 0.02256 0.616 0.000 0.000 0.384
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 1 0.0188 0.70129 0.996 0.000 0.000 0.004
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 4 0.4877 0.58023 0.408 0.000 0.000 0.592
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 3 0.7566 0.35781 0.000 0.320 0.468 0.212
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 1 0.7660 0.06129 0.448 0.228 0.000 0.324
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 4 0.6669 0.21445 0.108 0.320 0.000 0.572
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.0336 0.70159 0.992 0.000 0.000 0.008
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.3837 0.50748 0.776 0.000 0.000 0.224
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 4 0.6016 0.64900 0.208 0.112 0.000 0.680
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 2 0.4331 0.54883 0.000 0.712 0.000 0.288
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 4 0.3726 0.70769 0.212 0.000 0.000 0.788
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 1 0.3801 0.50511 0.780 0.000 0.000 0.220
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 1 0.3806 0.64469 0.824 0.156 0.000 0.020
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 1 0.0524 0.70228 0.988 0.008 0.000 0.004
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.0000 0.70173 1.000 0.000 0.000 0.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 1 0.2469 0.64273 0.892 0.000 0.000 0.108
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.4608 0.52126 0.004 0.692 0.000 0.304
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 2 0.6201 0.42868 0.000 0.664 0.124 0.212
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 4 0.6042 0.45518 0.368 0.052 0.000 0.580
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.1042 0.63926 0.000 0.972 0.020 0.008
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.0000 0.70173 1.000 0.000 0.000 0.000
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 2 0.3764 0.61808 0.216 0.784 0.000 0.000
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 1 0.5160 0.60881 0.760 0.136 0.000 0.104
#> BE56F908-42DD-4019-A8AC-48884DA788B1 1 0.3142 0.66503 0.860 0.132 0.000 0.008
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 4 0.3300 0.67914 0.144 0.008 0.000 0.848
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 1 0.4972 0.11395 0.544 0.000 0.000 0.456
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 4 0.4422 0.68277 0.256 0.000 0.008 0.736
#> 791D9EB8-42E0-4192-B064-B1126CA14481 4 0.4522 0.31661 0.000 0.320 0.000 0.680
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 2 0.2928 0.60118 0.000 0.880 0.108 0.012
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 2 0.1389 0.65005 0.000 0.952 0.000 0.048
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.4761 0.15362 0.628 0.000 0.000 0.372
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.0376 0.70206 0.992 0.004 0.000 0.004
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 3 0.2469 0.84308 0.000 0.000 0.892 0.108
#> D47C7B74-BB01-4614-B683-652F7130729C 2 0.1474 0.63210 0.000 0.948 0.052 0.000
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 1 0.0895 0.69920 0.976 0.020 0.000 0.004
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 4 0.6200 0.36140 0.444 0.052 0.000 0.504
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.0376 0.70206 0.992 0.004 0.000 0.004
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.4008 0.59042 0.000 0.756 0.000 0.244
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.0000 0.70173 1.000 0.000 0.000 0.000
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 1 0.3778 0.66534 0.848 0.100 0.000 0.052
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 2 0.4193 0.56838 0.000 0.732 0.000 0.268
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 2 0.3818 0.58129 0.000 0.844 0.108 0.048
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 3 0.7096 0.14364 0.344 0.000 0.516 0.140
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 1 0.0188 0.70179 0.996 0.004 0.000 0.000
#> 58F11B66-AE40-417E-B465-811C6CF7311C 1 0.2714 0.67486 0.884 0.112 0.000 0.004
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 4 0.4996 0.46616 0.484 0.000 0.000 0.516
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 1 0.6781 0.39944 0.620 0.260 0.108 0.012
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 1 0.5132 0.04467 0.548 0.448 0.000 0.004
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 2 0.0000 0.64542 0.000 1.000 0.000 0.000
#> 739952C6-FF36-4E34-B881-E02FE17C4012 4 0.4855 0.58961 0.400 0.000 0.000 0.600
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#> 5B65768D-0E81-4469-9D69-69B07ED5ACD5 4 0.7152 0.45590 0.172 0.284 0.000 0.544
#> 2CB06CA6-8D1F-4BC7-99BE-66921805B8FD 2 0.4804 0.39516 0.000 0.616 0.000 0.384
#> 956357FB-9AB3-497C-BB55-9D15B486A422 4 0.3726 0.70769 0.212 0.000 0.000 0.788
#> C8F2BAD0-7124-46BF-975C-4B44BE980F93 4 0.4877 0.58023 0.408 0.000 0.000 0.592
#> E96AE267-3E23-4EA9-93E2-D92558155A17 3 0.2469 0.84308 0.000 0.000 0.892 0.108
#> 1C8DCA5B-965B-485A-83B6-5CBEB2117E47 2 0.6743 0.23420 0.392 0.512 0.000 0.096
#> DEAB79F5-336A-49B4-8046-AEE2F567FE46 4 0.4996 0.46616 0.484 0.000 0.000 0.516
#> 767FE89E-E19F-4F56-A744-CB3C5CCC085B 1 0.5112 0.07706 0.560 0.436 0.000 0.004
#> 7B0BF632-79E5-46B5-AAC8-4A6D5A193449 3 0.7244 0.49132 0.000 0.244 0.544 0.212
#> 9A281EDE-FF96-4E66-AEF4-692BDFA8E99D 2 0.4406 0.54396 0.000 0.700 0.000 0.300
#> B8C2D019-00C9-4E1E-8383-4FE2FFB4D2D7 3 0.2469 0.84308 0.000 0.000 0.892 0.108
#> 39A9B95F-186B-4550-9271-001151B1A626 2 0.4262 0.60138 0.236 0.756 0.000 0.008
#> CAD6E491-88FB-4221-90E9-AC9C68AECCB0 1 0.3463 0.67357 0.864 0.096 0.000 0.040
#> 15EFBC5B-C713-4718-BB6F-0EBBE4D6997F 2 0.5143 0.21270 0.456 0.540 0.000 0.004
#> BBA00038-09B1-461D-9F8E-484890B0D130 1 0.3249 0.64110 0.852 0.008 0.000 0.140
#> 16EBB885-A692-42A6-9027-F6AD769E0ABB 1 0.4500 0.28600 0.684 0.000 0.000 0.316
#> 2D57E24B-97A6-4B85-BC8F-3E02DDC6C460 2 0.2928 0.60118 0.000 0.880 0.108 0.012
#> C6E39F86-9DEF-4BCA-930B-2A3993D18901 2 0.4008 0.59042 0.000 0.756 0.000 0.244
#> 5BE4D8E9-DA18-426F-8AE6-075B15010390 4 0.4661 0.62345 0.348 0.000 0.000 0.652
#> 8E9CAAC7-31D3-473C-821C-2DAD37B44D3A 2 0.0592 0.64842 0.016 0.984 0.000 0.000
#> 368CFCA3-7BAB-4D6D-9AE1-55713A9965C1 3 0.2469 0.84308 0.000 0.000 0.892 0.108
#> 14DB79EF-DE2B-4197-AD32-F657E0655FCD 2 0.6875 0.13195 0.420 0.476 0.000 0.104
#> E73BCFCB-C5FE-4BF2-A236-B9E69711C121 1 0.4706 0.62254 0.788 0.072 0.000 0.140
#> CDAFAFEA-365B-4F25-AEC0-639B6E0CB626 1 0.4950 0.24117 0.620 0.376 0.000 0.004
#> 48A2AAEB-7F60-4284-808E-2058A531B17C 2 0.4356 0.54356 0.000 0.708 0.000 0.292
#> D4276C6F-9F0F-4F74-A85E-1E54272ADDED 2 0.3400 0.62811 0.000 0.820 0.000 0.180
#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 2 0.4220 0.58963 0.248 0.748 0.000 0.004
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 1 0.5000 -0.11326 0.504 0.496 0.000 0.000
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 4 0.4994 -0.12114 0.000 0.000 0.480 0.520
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 4 0.4877 0.58023 0.408 0.000 0.000 0.592
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 4 0.6850 0.26283 0.108 0.000 0.376 0.516
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 4 0.4193 0.68942 0.268 0.000 0.000 0.732
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 1 0.4422 0.51301 0.736 0.008 0.000 0.256
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 1 0.3962 0.63607 0.820 0.028 0.000 0.152
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 4 0.3870 0.70755 0.208 0.004 0.000 0.788
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 2 0.4967 0.25642 0.452 0.548 0.000 0.000
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 2 0.4103 0.57960 0.000 0.744 0.000 0.256
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 1 0.3196 0.64571 0.856 0.008 0.000 0.136
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 2 0.4040 0.58707 0.000 0.752 0.000 0.248
#> C7997523-47CF-40F0-8803-AB873E38033C 4 0.4925 0.09383 0.000 0.428 0.000 0.572
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 2 0.2928 0.60118 0.000 0.880 0.108 0.012
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 2 0.6152 0.43473 0.000 0.668 0.120 0.212
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 3 0.2814 0.75405 0.132 0.000 0.868 0.000
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 1 0.4855 0.06007 0.600 0.000 0.000 0.400
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 2 0.2867 0.60318 0.000 0.884 0.104 0.012
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 2 0.5856 0.13845 0.464 0.504 0.000 0.032
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 3 0.2469 0.84308 0.000 0.000 0.892 0.108
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 2 0.5458 0.58121 0.060 0.704 0.000 0.236
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 4 0.4679 0.62177 0.352 0.000 0.000 0.648
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.4222 0.41973 0.728 0.000 0.000 0.272
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 1 0.0000 0.70173 1.000 0.000 0.000 0.000
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 4 0.3726 0.70769 0.212 0.000 0.000 0.788
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 2 0.6264 0.51426 0.084 0.720 0.044 0.152
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 1 0.6978 0.05272 0.536 0.380 0.036 0.048
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 2 0.0188 0.64477 0.000 0.996 0.004 0.000
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 2 0.4454 0.51963 0.308 0.692 0.000 0.000
#> 1DEA6525-5598-4985-9218-D61912C75437 4 0.4877 0.58023 0.408 0.000 0.000 0.592
#> E15EAAB4-0860-4716-9922-667F604CDF12 1 0.4855 0.23103 0.600 0.000 0.000 0.400
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 4 0.3870 0.70755 0.208 0.004 0.000 0.788
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 1 0.3840 0.66239 0.844 0.104 0.000 0.052
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 4 0.4544 0.69070 0.164 0.000 0.048 0.788
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.2760 0.62252 0.872 0.000 0.000 0.128
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 2 0.0000 0.64542 0.000 1.000 0.000 0.000
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 2 0.2060 0.65459 0.052 0.932 0.000 0.016
#> E2A4C651-977F-4F40-B5EC-46DF75944141 4 0.4193 0.68942 0.268 0.000 0.000 0.732
#> 433599CC-9DF5-4494-A607-8079FFE74D95 2 0.7129 0.41094 0.360 0.528 0.100 0.012
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 4 0.6222 0.17680 0.080 0.304 0.000 0.616
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 2 0.5998 0.44909 0.000 0.680 0.108 0.212
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.0000 0.70173 1.000 0.000 0.000 0.000
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 1 0.5383 0.11412 0.536 0.012 0.000 0.452
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 4 0.3726 0.70769 0.212 0.000 0.000 0.788
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.0000 0.78160 0.000 0.000 1.000 0.000
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 2 0.5998 0.44909 0.000 0.680 0.108 0.212
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 2 0.5998 0.44909 0.000 0.680 0.108 0.212
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.4797 0.57584 0.020 0.720 0.000 0.260
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 1 0.2593 0.67863 0.892 0.104 0.000 0.004
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.0000 0.64542 0.000 1.000 0.000 0.000
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 4 0.4888 0.57837 0.412 0.000 0.000 0.588
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 2 0.5998 0.44909 0.000 0.680 0.108 0.212
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.3486 0.55123 0.812 0.000 0.000 0.188
#> 057B580C-13FD-4185-943C-9DD5266B8554 4 0.4955 0.43772 0.444 0.000 0.000 0.556
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 4 0.5151 0.37647 0.464 0.004 0.000 0.532
#> 287F3696-25CF-4E67-A934-E50856AD4790 2 0.5998 0.44909 0.000 0.680 0.108 0.212
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.4745 0.61904 0.208 0.756 0.000 0.036
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 4 0.3870 0.70755 0.208 0.004 0.000 0.788
#> B80A74AB-A264-4396-93F8-FD976DBC1456 2 0.5998 0.44909 0.000 0.680 0.108 0.212
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.4008 0.59588 0.244 0.756 0.000 0.000
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 4 0.4996 0.33595 0.484 0.000 0.000 0.516
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.3486 0.55123 0.812 0.000 0.000 0.188
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 2 0.5161 0.51118 0.300 0.676 0.000 0.024
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 2 0.6450 0.39645 0.000 0.616 0.108 0.276
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.4331 0.54754 0.000 0.712 0.000 0.288
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 4 0.4888 0.57837 0.412 0.000 0.000 0.588
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 1 0.5835 0.44816 0.656 0.280 0.000 0.064
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.4008 0.59042 0.000 0.756 0.000 0.244
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 4 0.4830 0.59858 0.392 0.000 0.000 0.608
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.4134 0.57667 0.000 0.740 0.000 0.260
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 2 0.6365 0.45302 0.012 0.676 0.108 0.204
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 1 0.4894 0.62096 0.780 0.120 0.000 0.100
#> DD292494-92A2-43CB-B59B-726B2F429B29 1 0.7363 0.34311 0.520 0.208 0.000 0.272
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 4 0.4643 0.62909 0.344 0.000 0.000 0.656
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 1 0.3726 0.57980 0.788 0.000 0.000 0.212
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 1 0.5766 0.15286 0.564 0.404 0.000 0.032
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 4 0.5993 0.40682 0.160 0.148 0.000 0.692
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 1 0.2011 0.68425 0.920 0.000 0.000 0.080
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 4 0.5000 0.44517 0.496 0.000 0.000 0.504
#> 74CF740D-201D-4070-99B9-F007E7C4D472 4 0.3870 0.70752 0.208 0.000 0.004 0.788
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 4 0.4614 0.60372 0.064 0.144 0.000 0.792
#> 78F28873-E471-497A-9405-FB8955808599 4 0.5747 0.12507 0.000 0.196 0.100 0.704
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.4008 0.59588 0.244 0.756 0.000 0.000
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.0000 0.64542 0.000 1.000 0.000 0.000
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 1 0.6437 0.46542 0.648 0.184 0.000 0.168
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.0000 0.91019 0.000 0.000 1.000 0.000 0.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.5648 0.20452 0.484 0.064 0.000 0.448 0.004
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 4 0.4135 0.49428 0.340 0.000 0.000 0.656 0.004
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 4 0.1478 0.64556 0.064 0.000 0.000 0.936 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 4 0.4138 0.28442 0.384 0.000 0.000 0.616 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.2732 0.63991 0.840 0.000 0.000 0.160 0.000
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.1478 0.75228 0.000 0.936 0.000 0.000 0.064
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.1544 0.75994 0.068 0.932 0.000 0.000 0.000
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.1043 0.67896 0.960 0.000 0.000 0.040 0.000
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 4 0.5316 0.43391 0.084 0.284 0.000 0.632 0.000
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 2 0.6452 0.18737 0.352 0.480 0.000 0.164 0.004
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 5 0.2280 0.76187 0.000 0.120 0.000 0.000 0.880
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.4114 0.39976 0.624 0.000 0.000 0.376 0.000
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 4 0.2439 0.61723 0.120 0.000 0.000 0.876 0.004
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.2732 0.63991 0.840 0.000 0.000 0.160 0.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 5 0.0290 0.80757 0.000 0.000 0.008 0.000 0.992
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 2 0.5531 0.12179 0.056 0.508 0.000 0.432 0.004
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 2 0.5343 0.51305 0.252 0.656 0.000 0.088 0.004
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 4 0.2424 0.61355 0.132 0.000 0.000 0.868 0.000
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.4015 0.45415 0.652 0.000 0.000 0.348 0.000
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 1 0.3969 0.50977 0.692 0.304 0.000 0.000 0.004
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 2 0.0579 0.76405 0.008 0.984 0.000 0.000 0.008
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 1 0.1892 0.67451 0.916 0.080 0.000 0.000 0.004
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 4 0.4307 -0.18494 0.496 0.000 0.000 0.504 0.000
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 4 0.5543 0.15358 0.064 0.376 0.000 0.556 0.004
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 4 0.2278 0.64470 0.060 0.032 0.000 0.908 0.000
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 4 0.1608 0.64496 0.072 0.000 0.000 0.928 0.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 4 0.4015 0.33698 0.348 0.000 0.000 0.652 0.000
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.4088 0.45098 0.368 0.632 0.000 0.000 0.000
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 5 0.0290 0.81437 0.000 0.008 0.000 0.000 0.992
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 2 0.6936 -0.08467 0.324 0.372 0.000 0.300 0.004
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.3612 0.49910 0.000 0.732 0.000 0.000 0.268
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 4 0.1410 0.64537 0.060 0.000 0.000 0.940 0.000
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 2 0.2077 0.76551 0.000 0.908 0.000 0.084 0.008
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 4 0.5777 0.00643 0.088 0.444 0.000 0.468 0.000
#> BE56F908-42DD-4019-A8AC-48884DA788B1 4 0.4102 0.62464 0.120 0.080 0.000 0.796 0.004
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 1 0.3471 0.64626 0.836 0.092 0.000 0.000 0.072
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 1 0.4251 0.35471 0.624 0.000 0.000 0.372 0.004
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 1 0.5369 0.56898 0.692 0.064 0.020 0.220 0.004
#> 791D9EB8-42E0-4192-B064-B1126CA14481 2 0.4135 0.41970 0.340 0.656 0.000 0.000 0.004
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 5 0.4273 0.38118 0.000 0.448 0.000 0.000 0.552
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 2 0.1341 0.75723 0.000 0.944 0.000 0.000 0.056
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.3274 0.60897 0.780 0.000 0.000 0.220 0.000
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 4 0.1478 0.64603 0.064 0.000 0.000 0.936 0.000
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#> E3C1D3D8-1C78-4C16-B0E5-56B5CCE3C6B4 4 0.5706 0.24821 0.080 0.360 0.000 0.556 0.004
#> 1B0FE71F-DD59-45F7-BA73-E8BEEB7349A8 1 0.1205 0.68111 0.956 0.040 0.000 0.000 0.004
#> 8756589A-8352-4CDA-9297-D4C146D1DF47 4 0.4415 0.11319 0.444 0.000 0.000 0.552 0.004
#> E013D176-4FCB-4DF5-93F0-72803590B677 3 0.0000 0.91019 0.000 0.000 1.000 0.000 0.000
#> D0CCA6E0-8557-491C-AB82-289DF53E57FA 1 0.1638 0.67597 0.932 0.064 0.000 0.000 0.004
#> 933DB910-2728-4DC4-840E-B0CD1F13A421 5 0.4798 0.46797 0.000 0.396 0.024 0.000 0.580
#> 93910528-D681-4C69-86FD-326293B2F1C1 1 0.3862 0.63439 0.812 0.064 0.000 0.120 0.004
#> 3C9FDA2A-01C8-4F17-BBF1-5CAEAE3764D4 1 0.4390 0.33906 0.568 0.000 0.000 0.428 0.004
#> 8879C57E-8876-462F-810E-EE07C2F541AD 5 0.0162 0.81095 0.000 0.004 0.000 0.000 0.996
#> 130C8FBD-8D78-4212-8DD6-301EDFA339A9 4 0.3231 0.61068 0.196 0.000 0.000 0.800 0.004
#> 6C1FF3E9-0A8B-4B02-B0E9-EEF333E53592 2 0.1544 0.75994 0.068 0.932 0.000 0.000 0.000
#> 726497B7-C557-4D5C-A926-6DDA6136C899 2 0.0566 0.76525 0.012 0.984 0.000 0.000 0.004
#> 2299CD19-BF08-404C-B1BF-B570F12CCEF8 2 0.2329 0.74945 0.000 0.876 0.000 0.124 0.000
#> E8BCBDC5-E34E-422F-86C2-A4B30400EC86 3 0.4860 0.61419 0.228 0.064 0.704 0.000 0.004
#> B9EF0525-8B4A-4306-B06B-35AC457F5F48 2 0.2561 0.74038 0.000 0.856 0.000 0.144 0.000
#> F663E106-4E34-46C8-9CD9-AE5E9B8B27F0 1 0.6016 0.43586 0.580 0.236 0.000 0.000 0.184
#> 94E26CD5-238B-4D8C-B8E8-A62C44EB2B41 2 0.4126 0.37783 0.380 0.620 0.000 0.000 0.000
#> 135743C3-829E-46DC-BBA9-FF07C8067612 4 0.1792 0.64334 0.084 0.000 0.000 0.916 0.000
#> CBD7775A-2802-4EB7-9F62-6B80D7667AED 4 0.3513 0.61912 0.180 0.020 0.000 0.800 0.000
#> BD6DAD3D-2D5F-4560-9A4C-70D8A1D49732 4 0.2966 0.57691 0.184 0.000 0.000 0.816 0.000
#> ED86F92E-6B39-4C0C-9A60-870984F53C4D 4 0.4249 -0.00551 0.432 0.000 0.000 0.568 0.000
#> CD3B289F-FAE1-405F-875F-23C1D2609DFC 2 0.5807 0.11424 0.092 0.484 0.000 0.424 0.000
#> D1C0E70B-B2BB-4FE7-8DEC-B50659739BAA 2 0.1544 0.75994 0.068 0.932 0.000 0.000 0.000
#> D2417A9C-CBF0-47F6-B20C-FB32AF632A84 2 0.6188 0.17408 0.144 0.492 0.000 0.364 0.000
#> EF5618C6-6AFB-4FB5-A32B-7946F18E9736 4 0.1851 0.64481 0.088 0.000 0.000 0.912 0.000
#> 36040CAB-FF77-4540-BB44-7961A6A54B29 5 0.4565 0.44316 0.000 0.408 0.000 0.012 0.580
#> 3808C3A9-22DA-4DC5-9F51-884A7EF574E6 1 0.4515 0.58866 0.748 0.064 0.000 0.184 0.004
#> 24363857-9A33-40D4-8409-C17225570833 2 0.6248 0.20504 0.140 0.516 0.000 0.340 0.004
#> A57E6132-9B76-493A-A167-8462263B7CDB 4 0.4291 0.26758 0.464 0.000 0.000 0.536 0.000
#> 4C020890-E652-4DE4-B66D-5F6F71405F64 4 0.5706 0.18011 0.380 0.076 0.000 0.540 0.004
#> 90C991CD-412E-4318-96E3-EB84B868FE9F 2 0.1544 0.75010 0.000 0.932 0.000 0.000 0.068
#> FA8E73EA-649C-43ED-854E-B9472820D1C6 4 0.5775 0.02121 0.088 0.440 0.000 0.472 0.000
#> 4D46B5DE-186A-4D35-8E1B-64701C13BC69 5 0.0290 0.81437 0.000 0.008 0.000 0.000 0.992
#> D516A82D-2F77-46B2-90F7-30BA5C78AAC8 2 0.1478 0.77105 0.000 0.936 0.000 0.064 0.000
#> 1FBD0805-13AE-4A82-8B94-640E1C921262 3 0.2628 0.81148 0.088 0.028 0.884 0.000 0.000
#> 264525A9-F7DB-4012-A93B-CF8A7626F125 5 0.0290 0.81437 0.000 0.008 0.000 0.000 0.992
#> AFF029D8-FFC9-4AA9-8049-F1E27C743F6F 4 0.5981 0.50312 0.212 0.012 0.000 0.624 0.152
#> 5B65768D-0E81-4469-9D69-69B07ED5ACD5 2 0.5689 0.09329 0.440 0.480 0.000 0.080 0.000
#> 2CB06CA6-8D1F-4BC7-99BE-66921805B8FD 2 0.2230 0.74361 0.116 0.884 0.000 0.000 0.000
#> 956357FB-9AB3-497C-BB55-9D15B486A422 1 0.1638 0.67597 0.932 0.064 0.000 0.000 0.004
#> C8F2BAD0-7124-46BF-975C-4B44BE980F93 1 0.2929 0.62900 0.820 0.000 0.000 0.180 0.000
#> E96AE267-3E23-4EA9-93E2-D92558155A17 3 0.0000 0.91019 0.000 0.000 1.000 0.000 0.000
#> 1C8DCA5B-965B-485A-83B6-5CBEB2117E47 2 0.3171 0.71627 0.008 0.816 0.000 0.176 0.000
#> DEAB79F5-336A-49B4-8046-AEE2F567FE46 1 0.3534 0.55088 0.744 0.000 0.000 0.256 0.000
#> 767FE89E-E19F-4F56-A744-CB3C5CCC085B 4 0.4454 0.49035 0.028 0.260 0.000 0.708 0.004
#> 7B0BF632-79E5-46B5-AAC8-4A6D5A193449 5 0.0290 0.80757 0.000 0.000 0.008 0.000 0.992
#> 9A281EDE-FF96-4E66-AEF4-692BDFA8E99D 2 0.2806 0.65063 0.152 0.844 0.000 0.000 0.004
#> B8C2D019-00C9-4E1E-8383-4FE2FFB4D2D7 3 0.0000 0.91019 0.000 0.000 1.000 0.000 0.000
#> 39A9B95F-186B-4550-9271-001151B1A626 2 0.1478 0.77105 0.000 0.936 0.000 0.064 0.000
#> CAD6E491-88FB-4221-90E9-AC9C68AECCB0 4 0.2459 0.63354 0.040 0.052 0.000 0.904 0.004
#> 15EFBC5B-C713-4718-BB6F-0EBBE4D6997F 2 0.2813 0.72671 0.000 0.832 0.000 0.168 0.000
#> BBA00038-09B1-461D-9F8E-484890B0D130 4 0.4029 0.52903 0.316 0.000 0.000 0.680 0.004
#> 16EBB885-A692-42A6-9027-F6AD769E0ABB 1 0.4287 0.26622 0.540 0.000 0.000 0.460 0.000
#> 2D57E24B-97A6-4B85-BC8F-3E02DDC6C460 5 0.4219 0.44367 0.000 0.416 0.000 0.000 0.584
#> C6E39F86-9DEF-4BCA-930B-2A3993D18901 2 0.0000 0.76688 0.000 1.000 0.000 0.000 0.000
#> 5BE4D8E9-DA18-426F-8AE6-075B15010390 1 0.4118 0.45057 0.660 0.000 0.000 0.336 0.004
#> 8E9CAAC7-31D3-473C-821C-2DAD37B44D3A 2 0.1478 0.75228 0.000 0.936 0.000 0.000 0.064
#> 368CFCA3-7BAB-4D6D-9AE1-55713A9965C1 3 0.1341 0.86831 0.000 0.000 0.944 0.056 0.000
#> 14DB79EF-DE2B-4197-AD32-F657E0655FCD 2 0.4149 0.69977 0.040 0.768 0.000 0.188 0.004
#> E73BCFCB-C5FE-4BF2-A236-B9E69711C121 4 0.4091 0.59694 0.076 0.124 0.000 0.796 0.004
#> CDAFAFEA-365B-4F25-AEC0-639B6E0CB626 4 0.3916 0.57065 0.028 0.188 0.000 0.780 0.004
#> 48A2AAEB-7F60-4284-808E-2058A531B17C 2 0.0290 0.76599 0.008 0.992 0.000 0.000 0.000
#> D4276C6F-9F0F-4F74-A85E-1E54272ADDED 2 0.0510 0.76669 0.000 0.984 0.000 0.000 0.016
#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 2 0.1478 0.77105 0.000 0.936 0.000 0.064 0.000
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 2 0.4161 0.41376 0.000 0.608 0.000 0.392 0.000
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 3 0.8529 0.23838 0.252 0.064 0.376 0.040 0.268
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 1 0.2605 0.64548 0.852 0.000 0.000 0.148 0.000
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 3 0.5424 0.40122 0.336 0.064 0.596 0.000 0.004
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 1 0.1731 0.67879 0.932 0.004 0.000 0.060 0.004
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 4 0.3328 0.61914 0.176 0.008 0.000 0.812 0.004
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 4 0.6036 0.47372 0.156 0.252 0.000 0.588 0.004
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 1 0.2068 0.67075 0.904 0.092 0.000 0.000 0.004
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 2 0.4101 0.45964 0.000 0.628 0.000 0.372 0.000
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 2 0.0000 0.76688 0.000 1.000 0.000 0.000 0.000
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 4 0.4025 0.63682 0.132 0.076 0.000 0.792 0.000
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 2 0.0000 0.76688 0.000 1.000 0.000 0.000 0.000
#> C7997523-47CF-40F0-8803-AB873E38033C 2 0.3949 0.48503 0.300 0.696 0.000 0.000 0.004
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 5 0.4227 0.43646 0.000 0.420 0.000 0.000 0.580
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 5 0.0290 0.81437 0.000 0.008 0.000 0.000 0.992
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 3 0.1211 0.88218 0.024 0.000 0.960 0.016 0.000
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 1 0.3039 0.62440 0.808 0.000 0.000 0.192 0.000
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 2 0.4268 -0.05880 0.000 0.556 0.000 0.000 0.444
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 2 0.3196 0.70197 0.000 0.804 0.000 0.192 0.004
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 3 0.0000 0.91019 0.000 0.000 1.000 0.000 0.000
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 2 0.1043 0.76928 0.040 0.960 0.000 0.000 0.000
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 1 0.5338 0.46787 0.608 0.060 0.000 0.328 0.004
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.3857 0.50362 0.688 0.000 0.000 0.312 0.000
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 4 0.2970 0.58213 0.168 0.000 0.000 0.828 0.004
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 1 0.2419 0.67635 0.904 0.064 0.000 0.028 0.004
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 2 0.7767 -0.14119 0.056 0.344 0.000 0.284 0.316
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 4 0.7649 0.42681 0.156 0.208 0.020 0.536 0.080
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 2 0.2929 0.64688 0.000 0.820 0.000 0.000 0.180
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 2 0.2020 0.76254 0.000 0.900 0.000 0.100 0.000
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.2929 0.62900 0.820 0.000 0.000 0.180 0.000
#> E15EAAB4-0860-4716-9922-667F604CDF12 1 0.4410 0.22651 0.556 0.000 0.000 0.440 0.004
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 1 0.1798 0.67566 0.928 0.064 0.000 0.004 0.004
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 4 0.5185 0.56909 0.168 0.128 0.000 0.700 0.004
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 1 0.2740 0.66577 0.888 0.064 0.044 0.000 0.004
#> F37E118C-1066-4A84-B190-B9B78E265D94 4 0.3857 0.36955 0.312 0.000 0.000 0.688 0.000
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 2 0.1478 0.75228 0.000 0.936 0.000 0.000 0.064
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 2 0.1725 0.76200 0.044 0.936 0.000 0.000 0.020
#> E2A4C651-977F-4F40-B5EC-46DF75944141 1 0.0880 0.67814 0.968 0.000 0.000 0.032 0.000
#> 433599CC-9DF5-4494-A607-8079FFE74D95 4 0.7356 -0.11647 0.024 0.336 0.000 0.340 0.300
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 2 0.7023 0.32701 0.288 0.528 0.000 0.072 0.112
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 5 0.0290 0.81437 0.000 0.008 0.000 0.000 0.992
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 4 0.3003 0.57699 0.188 0.000 0.000 0.812 0.000
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 1 0.4481 0.27688 0.576 0.000 0.000 0.416 0.008
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 1 0.0000 0.67862 1.000 0.000 0.000 0.000 0.000
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.0000 0.91019 0.000 0.000 1.000 0.000 0.000
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 5 0.0290 0.81437 0.000 0.008 0.000 0.000 0.992
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 5 0.0290 0.81437 0.000 0.008 0.000 0.000 0.992
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.0451 0.76986 0.000 0.988 0.000 0.008 0.004
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 4 0.4166 0.59265 0.056 0.160 0.000 0.780 0.004
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.1478 0.75228 0.000 0.936 0.000 0.000 0.064
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.2471 0.64986 0.864 0.000 0.000 0.136 0.000
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 5 0.0290 0.81437 0.000 0.008 0.000 0.000 0.992
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 4 0.4171 0.16128 0.396 0.000 0.000 0.604 0.000
#> 057B580C-13FD-4185-943C-9DD5266B8554 1 0.5831 0.04673 0.516 0.084 0.000 0.396 0.004
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 4 0.5687 0.10885 0.432 0.068 0.000 0.496 0.004
#> 287F3696-25CF-4E67-A934-E50856AD4790 5 0.2424 0.75389 0.000 0.132 0.000 0.000 0.868
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.1341 0.77268 0.000 0.944 0.000 0.056 0.000
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 1 0.3021 0.65367 0.872 0.064 0.000 0.060 0.004
#> B80A74AB-A264-4396-93F8-FD976DBC1456 5 0.0290 0.81437 0.000 0.008 0.000 0.000 0.992
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.1478 0.77105 0.000 0.936 0.000 0.064 0.000
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 4 0.5579 0.26301 0.392 0.064 0.000 0.540 0.004
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 4 0.4201 0.18612 0.408 0.000 0.000 0.592 0.000
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 2 0.1908 0.76390 0.000 0.908 0.000 0.092 0.000
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 5 0.0290 0.81437 0.000 0.008 0.000 0.000 0.992
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.1608 0.76060 0.072 0.928 0.000 0.000 0.000
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.2471 0.64986 0.864 0.000 0.000 0.136 0.000
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 4 0.3812 0.58450 0.032 0.168 0.000 0.796 0.004
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.0000 0.76688 0.000 1.000 0.000 0.000 0.000
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.1608 0.67483 0.928 0.000 0.000 0.072 0.000
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.0000 0.76688 0.000 1.000 0.000 0.000 0.000
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 5 0.2806 0.74189 0.000 0.152 0.000 0.004 0.844
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 4 0.4803 -0.19329 0.012 0.488 0.000 0.496 0.004
#> DD292494-92A2-43CB-B59B-726B2F429B29 4 0.6156 -0.03805 0.132 0.412 0.000 0.456 0.000
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.2605 0.63990 0.852 0.000 0.000 0.148 0.000
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 4 0.4114 0.44130 0.376 0.000 0.000 0.624 0.000
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 2 0.3884 0.58907 0.000 0.708 0.000 0.288 0.004
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 2 0.6821 0.48157 0.120 0.608 0.000 0.152 0.120
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 4 0.3579 0.58047 0.240 0.000 0.000 0.756 0.004
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.4235 0.33742 0.576 0.000 0.000 0.424 0.000
#> 74CF740D-201D-4070-99B9-F007E7C4D472 1 0.2237 0.67291 0.904 0.084 0.008 0.000 0.004
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 1 0.3720 0.55929 0.760 0.228 0.000 0.000 0.012
#> 78F28873-E471-497A-9405-FB8955808599 5 0.3932 0.56107 0.140 0.064 0.000 0.000 0.796
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.1478 0.77105 0.000 0.936 0.000 0.064 0.000
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.1571 0.75475 0.000 0.936 0.000 0.004 0.060
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 2 0.6288 0.09952 0.156 0.472 0.000 0.372 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
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#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.1007 0.67672 0.956 0.000 0.000 0.000 0.000 0.044
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 4 0.0547 0.67266 0.020 0.000 0.000 0.980 0.000 0.000
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 6 0.0458 0.66035 0.016 0.000 0.000 0.000 0.000 0.984
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 4 0.4995 0.55212 0.000 0.056 0.000 0.708 0.160 0.076
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 4 0.6046 0.35761 0.024 0.288 0.008 0.560 0.004 0.116
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 2 0.2562 0.66485 0.000 0.828 0.000 0.000 0.172 0.000
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 2 0.0790 0.79605 0.000 0.968 0.000 0.032 0.000 0.000
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.0713 0.68260 0.972 0.000 0.000 0.000 0.000 0.028
#> E15EAAB4-0860-4716-9922-667F604CDF12 4 0.2858 0.65594 0.032 0.000 0.000 0.844 0.000 0.124
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 6 0.0146 0.65702 0.000 0.000 0.000 0.004 0.000 0.996
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 4 0.0547 0.67266 0.020 0.000 0.000 0.980 0.000 0.000
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 6 0.2697 0.60074 0.000 0.000 0.044 0.092 0.000 0.864
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.3695 0.70159 0.712 0.000 0.000 0.272 0.000 0.016
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 2 0.0000 0.80176 0.000 1.000 0.000 0.000 0.000 0.000
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 2 0.0000 0.80176 0.000 1.000 0.000 0.000 0.000 0.000
#> E2A4C651-977F-4F40-B5EC-46DF75944141 6 0.2996 0.61729 0.228 0.000 0.000 0.000 0.000 0.772
#> 433599CC-9DF5-4494-A607-8079FFE74D95 2 0.7152 -0.14282 0.028 0.324 0.000 0.304 0.320 0.024
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 6 0.6941 0.06262 0.000 0.348 0.000 0.104 0.140 0.408
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 5 0.0000 0.82989 0.000 0.000 0.000 0.000 1.000 0.000
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.3431 0.72484 0.756 0.000 0.000 0.228 0.000 0.016
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 4 0.1219 0.67997 0.004 0.000 0.000 0.948 0.000 0.048
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 6 0.2996 0.61729 0.228 0.000 0.000 0.000 0.000 0.772
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.0000 0.93738 0.000 0.000 1.000 0.000 0.000 0.000
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 5 0.0000 0.82989 0.000 0.000 0.000 0.000 1.000 0.000
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 5 0.0000 0.82989 0.000 0.000 0.000 0.000 1.000 0.000
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.0363 0.80103 0.000 0.988 0.000 0.000 0.000 0.012
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 4 0.0405 0.67658 0.004 0.008 0.000 0.988 0.000 0.000
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.0000 0.80176 0.000 1.000 0.000 0.000 0.000 0.000
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 6 0.3672 0.49092 0.368 0.000 0.000 0.000 0.000 0.632
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 5 0.0000 0.82989 0.000 0.000 0.000 0.000 1.000 0.000
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.5763 0.51682 0.500 0.000 0.000 0.292 0.000 0.208
#> 057B580C-13FD-4185-943C-9DD5266B8554 6 0.2401 0.63022 0.008 0.028 0.000 0.072 0.000 0.892
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 4 0.4178 0.37976 0.020 0.000 0.000 0.608 0.000 0.372
#> 287F3696-25CF-4E67-A934-E50856AD4790 5 0.2941 0.68672 0.000 0.220 0.000 0.000 0.780 0.000
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.0000 0.80176 0.000 1.000 0.000 0.000 0.000 0.000
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 4 0.3817 0.31439 0.000 0.000 0.000 0.568 0.000 0.432
#> B80A74AB-A264-4396-93F8-FD976DBC1456 5 0.0000 0.82989 0.000 0.000 0.000 0.000 1.000 0.000
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.0000 0.80176 0.000 1.000 0.000 0.000 0.000 0.000
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 6 0.4640 0.10849 0.376 0.000 0.000 0.048 0.000 0.576
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 4 0.5887 0.07311 0.224 0.000 0.000 0.464 0.000 0.312
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 2 0.2092 0.75139 0.000 0.876 0.000 0.124 0.000 0.000
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 5 0.0000 0.82989 0.000 0.000 0.000 0.000 1.000 0.000
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.1714 0.76521 0.092 0.908 0.000 0.000 0.000 0.000
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 6 0.3672 0.49092 0.368 0.000 0.000 0.000 0.000 0.632
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 4 0.0000 0.67388 0.000 0.000 0.000 1.000 0.000 0.000
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.0000 0.80176 0.000 1.000 0.000 0.000 0.000 0.000
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 6 0.3101 0.60973 0.244 0.000 0.000 0.000 0.000 0.756
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.0146 0.80175 0.000 0.996 0.000 0.000 0.000 0.004
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 5 0.4012 0.68069 0.000 0.176 0.000 0.076 0.748 0.000
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 4 0.3862 0.18448 0.004 0.388 0.000 0.608 0.000 0.000
#> DD292494-92A2-43CB-B59B-726B2F429B29 2 0.5567 0.49498 0.012 0.596 0.000 0.220 0.000 0.172
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 6 0.3834 0.59989 0.232 0.000 0.000 0.036 0.000 0.732
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 6 0.4252 0.39022 0.036 0.000 0.000 0.312 0.000 0.652
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 2 0.3578 0.50270 0.000 0.660 0.000 0.340 0.000 0.000
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 2 0.5186 0.28280 0.000 0.544 0.000 0.356 0.000 0.100
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 4 0.3315 0.56540 0.020 0.000 0.000 0.780 0.000 0.200
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.0363 0.69068 0.988 0.000 0.000 0.000 0.000 0.012
#> 74CF740D-201D-4070-99B9-F007E7C4D472 6 0.0000 0.65763 0.000 0.000 0.000 0.000 0.000 1.000
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 6 0.2300 0.57840 0.000 0.144 0.000 0.000 0.000 0.856
#> 78F28873-E471-497A-9405-FB8955808599 5 0.2793 0.58953 0.000 0.000 0.000 0.000 0.800 0.200
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.0000 0.80176 0.000 1.000 0.000 0.000 0.000 0.000
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.0000 0.80176 0.000 1.000 0.000 0.000 0.000 0.000
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 2 0.5764 0.30526 0.072 0.580 0.000 0.060 0.000 0.288
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 17397 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 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 0.577 0.863 0.917 0.3415 0.684 0.684
#> 3 3 0.333 0.560 0.739 0.6787 0.657 0.522
#> 4 4 0.435 0.597 0.690 0.1841 0.823 0.620
#> 5 5 0.493 0.507 0.741 0.0512 0.840 0.597
#> 6 6 0.583 0.648 0.773 0.0653 0.822 0.484
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
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 2 0.3114 0.886 0.056 0.944
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.0938 0.907 0.988 0.012
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 1 0.0000 0.914 1.000 0.000
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.0000 0.914 1.000 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.0000 0.914 1.000 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.0376 0.912 0.996 0.004
#> 966A3A03-3879-4816-A1E9-D805F6018836 1 0.7056 0.830 0.808 0.192
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 1 0.7139 0.829 0.804 0.196
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.0938 0.907 0.988 0.012
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 1 0.1184 0.913 0.984 0.016
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 1 0.2778 0.906 0.952 0.048
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 1 0.9710 0.466 0.600 0.400
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.0000 0.914 1.000 0.000
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 1 0.0000 0.914 1.000 0.000
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.0938 0.907 0.988 0.012
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 2 0.1633 0.893 0.024 0.976
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 1 0.2948 0.905 0.948 0.052
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 1 0.7219 0.825 0.800 0.200
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.0000 0.914 1.000 0.000
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.0000 0.914 1.000 0.000
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 1 0.1843 0.911 0.972 0.028
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 2 0.9087 0.516 0.324 0.676
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 1 0.0000 0.914 1.000 0.000
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 1 0.9970 -0.196 0.532 0.468
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 1 0.1843 0.911 0.972 0.028
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 1 0.0672 0.914 0.992 0.008
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.0000 0.914 1.000 0.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 1 0.0000 0.914 1.000 0.000
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 1 0.7219 0.825 0.800 0.200
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 2 0.1633 0.893 0.024 0.976
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 1 0.7219 0.825 0.800 0.200
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 1 0.7219 0.825 0.800 0.200
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.0000 0.914 1.000 0.000
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 1 0.6712 0.841 0.824 0.176
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 1 0.1843 0.911 0.972 0.028
#> BE56F908-42DD-4019-A8AC-48884DA788B1 1 0.1843 0.911 0.972 0.028
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 1 0.7056 0.829 0.808 0.192
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 1 0.0000 0.914 1.000 0.000
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 2 0.9522 0.607 0.372 0.628
#> 791D9EB8-42E0-4192-B064-B1126CA14481 1 0.7219 0.825 0.800 0.200
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 2 0.8443 0.630 0.272 0.728
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 1 0.7139 0.829 0.804 0.196
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.0000 0.914 1.000 0.000
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.0000 0.914 1.000 0.000
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 2 0.3114 0.886 0.056 0.944
#> D47C7B74-BB01-4614-B683-652F7130729C 2 0.8386 0.640 0.268 0.732
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 1 0.1843 0.911 0.972 0.028
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 1 0.2778 0.906 0.952 0.048
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.0000 0.914 1.000 0.000
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 1 0.7219 0.825 0.800 0.200
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.0000 0.914 1.000 0.000
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 1 0.0938 0.913 0.988 0.012
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 1 0.7219 0.825 0.800 0.200
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 2 0.1633 0.893 0.024 0.976
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 2 0.9491 0.608 0.368 0.632
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#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 1 0.7139 0.827 0.804 0.196
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 1 0.6712 0.843 0.824 0.176
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 2 0.3114 0.886 0.056 0.944
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 1 0.7219 0.825 0.800 0.200
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 1 0.0938 0.907 0.988 0.012
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.0376 0.912 0.996 0.004
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 1 0.0000 0.914 1.000 0.000
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 1 0.1184 0.905 0.984 0.016
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 2 0.1633 0.893 0.024 0.976
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 1 0.2778 0.906 0.952 0.048
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 1 0.7139 0.829 0.804 0.196
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 1 0.7139 0.829 0.804 0.196
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.0376 0.912 0.996 0.004
#> E15EAAB4-0860-4716-9922-667F604CDF12 1 0.0000 0.914 1.000 0.000
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 1 0.6973 0.832 0.812 0.188
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 1 0.0000 0.914 1.000 0.000
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 2 0.7453 0.784 0.212 0.788
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.0000 0.914 1.000 0.000
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 1 0.7219 0.825 0.800 0.200
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 1 0.7139 0.829 0.804 0.196
#> E2A4C651-977F-4F40-B5EC-46DF75944141 1 0.0938 0.907 0.988 0.012
#> 433599CC-9DF5-4494-A607-8079FFE74D95 1 0.2603 0.907 0.956 0.044
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 1 0.7056 0.829 0.808 0.192
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 2 0.1633 0.893 0.024 0.976
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.0000 0.914 1.000 0.000
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 1 0.0000 0.914 1.000 0.000
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 1 0.1184 0.905 0.984 0.016
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 2 0.2603 0.887 0.044 0.956
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 2 0.1633 0.893 0.024 0.976
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 2 0.1633 0.893 0.024 0.976
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 1 0.7139 0.829 0.804 0.196
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 1 0.1633 0.912 0.976 0.024
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 1 0.7219 0.825 0.800 0.200
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.0938 0.907 0.988 0.012
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 2 0.1633 0.893 0.024 0.976
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.0376 0.912 0.996 0.004
#> 057B580C-13FD-4185-943C-9DD5266B8554 1 0.1414 0.911 0.980 0.020
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 1 0.0376 0.912 0.996 0.004
#> 287F3696-25CF-4E67-A934-E50856AD4790 2 0.8327 0.633 0.264 0.736
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 1 0.7139 0.829 0.804 0.196
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 1 0.0376 0.914 0.996 0.004
#> B80A74AB-A264-4396-93F8-FD976DBC1456 2 0.1633 0.893 0.024 0.976
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 1 0.5408 0.874 0.876 0.124
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.0000 0.914 1.000 0.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.0000 0.914 1.000 0.000
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 1 0.2043 0.911 0.968 0.032
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 2 0.1633 0.893 0.024 0.976
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 1 0.7219 0.825 0.800 0.200
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.0938 0.907 0.988 0.012
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 1 0.0376 0.914 0.996 0.004
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 1 0.7219 0.825 0.800 0.200
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.0000 0.914 1.000 0.000
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 1 0.7219 0.825 0.800 0.200
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 2 0.4562 0.853 0.096 0.904
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 1 0.1414 0.913 0.980 0.020
#> DD292494-92A2-43CB-B59B-726B2F429B29 1 0.4161 0.893 0.916 0.084
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.1184 0.906 0.984 0.016
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 1 0.0672 0.914 0.992 0.008
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 1 0.0672 0.914 0.992 0.008
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 1 0.5737 0.866 0.864 0.136
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 1 0.0000 0.914 1.000 0.000
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.2603 0.886 0.956 0.044
#> 74CF740D-201D-4070-99B9-F007E7C4D472 1 0.5629 0.792 0.868 0.132
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 1 0.7139 0.827 0.804 0.196
#> 78F28873-E471-497A-9405-FB8955808599 2 0.1633 0.893 0.024 0.976
#> 29294D9A-434B-4581-9591-63D16107C7B1 1 0.7139 0.829 0.804 0.196
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 1 0.7139 0.829 0.804 0.196
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 1 0.2603 0.907 0.956 0.044
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.0237 0.65177 0.000 0.004 0.996
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.1620 0.77247 0.964 0.012 0.024
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 1 0.3879 0.74739 0.848 0.152 0.000
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.3482 0.75829 0.872 0.128 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.3192 0.76670 0.888 0.112 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.0475 0.77190 0.992 0.004 0.004
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.5497 0.53777 0.064 0.812 0.124
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.6460 0.33173 0.440 0.556 0.004
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.2584 0.73913 0.928 0.008 0.064
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 1 0.3551 0.75315 0.868 0.132 0.000
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 1 0.3500 0.69497 0.880 0.116 0.004
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 2 0.7605 0.27357 0.124 0.684 0.192
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.0237 0.77237 0.996 0.004 0.000
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 1 0.3752 0.75199 0.856 0.144 0.000
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.2955 0.72804 0.912 0.008 0.080
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 3 0.6192 0.65708 0.000 0.420 0.580
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 2 0.6825 0.17086 0.492 0.496 0.012
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 1 0.6286 -0.14284 0.536 0.464 0.000
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.4821 0.75331 0.840 0.120 0.040
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.0237 0.77480 0.996 0.004 0.000
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 1 0.5733 0.33919 0.676 0.324 0.000
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 2 0.6224 0.09285 0.016 0.688 0.296
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 1 0.1031 0.77063 0.976 0.024 0.000
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 1 0.6255 0.45261 0.668 0.012 0.320
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 2 0.5835 0.50557 0.340 0.660 0.000
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 1 0.3816 0.74916 0.852 0.148 0.000
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.4483 0.75445 0.848 0.128 0.024
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 1 0.3686 0.75391 0.860 0.140 0.000
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.6495 0.28187 0.460 0.536 0.004
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 3 0.6192 0.65708 0.000 0.420 0.580
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 1 0.6095 0.10700 0.608 0.392 0.000
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.2711 0.62930 0.088 0.912 0.000
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.3482 0.75829 0.872 0.128 0.000
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 2 0.5757 0.50484 0.056 0.792 0.152
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 1 0.6495 0.06229 0.536 0.460 0.004
#> BE56F908-42DD-4019-A8AC-48884DA788B1 2 0.5650 0.54159 0.312 0.688 0.000
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 2 0.9187 0.39304 0.412 0.440 0.148
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 1 0.4002 0.72553 0.840 0.160 0.000
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 1 0.5968 0.40759 0.636 0.000 0.364
#> 791D9EB8-42E0-4192-B064-B1126CA14481 1 0.6309 -0.22423 0.504 0.496 0.000
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 2 0.5105 0.52177 0.048 0.828 0.124
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 2 0.3181 0.60326 0.064 0.912 0.024
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.1453 0.77142 0.968 0.008 0.024
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.3482 0.75829 0.872 0.128 0.000
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 3 0.0000 0.65041 0.000 0.000 1.000
#> D47C7B74-BB01-4614-B683-652F7130729C 2 0.6348 0.46248 0.060 0.752 0.188
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 1 0.5058 0.63616 0.756 0.244 0.000
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 1 0.6434 0.26649 0.612 0.380 0.008
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.3267 0.76423 0.884 0.116 0.000
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.2959 0.63972 0.100 0.900 0.000
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.4779 0.75259 0.840 0.124 0.036
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 1 0.4750 0.68454 0.784 0.216 0.000
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 2 0.6309 0.25662 0.496 0.504 0.000
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 3 0.6274 0.60060 0.000 0.456 0.544
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 3 0.6295 -0.03997 0.472 0.000 0.528
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 1 0.4750 0.68447 0.784 0.216 0.000
#> 58F11B66-AE40-417E-B465-811C6CF7311C 1 0.4002 0.74198 0.840 0.160 0.000
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.1711 0.76099 0.960 0.008 0.032
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 2 0.5690 0.57015 0.288 0.708 0.004
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 2 0.5502 0.59108 0.248 0.744 0.008
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 2 0.5497 0.60755 0.292 0.708 0.000
#> 739952C6-FF36-4E34-B881-E02FE17C4012 1 0.2584 0.73913 0.928 0.008 0.064
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 1 0.0237 0.77237 0.996 0.004 0.000
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 2 0.2772 0.62394 0.080 0.916 0.004
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 1 0.2165 0.75266 0.936 0.064 0.000
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 1 0.3267 0.76423 0.884 0.116 0.000
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 1 0.4676 0.75756 0.848 0.112 0.040
#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 1 0.1267 0.77063 0.972 0.004 0.024
#> F6B26185-139B-47A7-91EC-E885D94AC882 1 0.1267 0.77010 0.972 0.024 0.004
#> 81F30B6F-3E9A-4913-986B-C56D5F107A17 1 0.6282 0.31287 0.664 0.324 0.012
#> 2CCB3AE1-0D27-4493-B7AE-67C60BBC1C38 3 0.6192 0.65708 0.000 0.420 0.580
#> 329665BC-B959-47C5-B831-5546F94EDAC1 2 0.6509 0.24856 0.472 0.524 0.004
#> 8D4335F6-6ACB-4E38-B9F2-A2B5B647AE90 1 0.0237 0.77414 0.996 0.000 0.004
#> D181D0D8-FD8C-4259-9B34-97224CF27E1B 1 0.6309 -0.23938 0.504 0.496 0.000
#> C0C10950-ABC5-4125-A33E-5AFA2D2574B0 2 0.2280 0.59557 0.052 0.940 0.008
#> 834D12DB-0925-422C-B15B-20A60A5F658C 1 0.6521 -0.26445 0.500 0.496 0.004
#> 50314689-519F-4B27-884C-7816DD64CF4E 1 0.3482 0.75829 0.872 0.128 0.000
#> 2502A23E-E168-4A78-9C14-B93FBC9715B1 3 0.6500 -0.02807 0.464 0.004 0.532
#> 3F8D01A3-5449-48A1-BDBA-BFE4D908AE31 2 0.5480 0.57674 0.264 0.732 0.004
#> 1C47A87B-C033-4705-B903-DB33B8C6EC34 1 0.5926 0.42312 0.644 0.356 0.000
#> 1329E1C1-743E-4541-9081-165572D4BF47 2 0.6264 0.42647 0.380 0.616 0.004
#> 1F3F8680-EEB6-4532-B81D-51957D1EA502 1 0.1031 0.77858 0.976 0.024 0.000
#> 50F69785-8B7A-4933-85B1-8DC539ACC72A 1 0.2173 0.75046 0.944 0.008 0.048
#> 9095FDD8-EEB2-4B17-85AB-3CDAC0BEC759 1 0.2050 0.77768 0.952 0.028 0.020
#> B6BF8C22-03E4-44F0-B2EF-2A3DD6ADE7D7 1 0.1031 0.77063 0.976 0.024 0.000
#> D6A907FC-3A1B-4E3B-A440-1CE9BE9B334B 2 0.2878 0.63668 0.096 0.904 0.000
#> 02588D5D-89CB-4D0B-9E96-A0270C3FF866 2 0.6244 0.39968 0.440 0.560 0.000
#> D50BBFC7-7774-4B12-938C-8D5373C12DFC 2 0.5408 0.51762 0.052 0.812 0.136
#> 6E930060-502B-49F5-A385-9B91DEBD05E4 1 0.4591 0.75669 0.848 0.120 0.032
#> F6606A8E-ACC6-4826-9547-E0017521724D 1 0.0237 0.77237 0.996 0.004 0.000
#> 981584D3-10DB-455C-8132-E8E5F44E1222 2 0.6505 0.26015 0.468 0.528 0.004
#> 47F6E197-7164-4289-95B5-8FD305A13B4C 1 0.0424 0.77098 0.992 0.008 0.000
#> 4522D871-9379-4643-B15E-9ACB556276C4 1 0.3120 0.75438 0.908 0.012 0.080
#> 7560B2B5-6AF5-4600-9F0A-BE25CF99B6B9 1 0.0592 0.77145 0.988 0.012 0.000
#> 38F5957E-0A99-432D-8F0B-B48E03F17668 1 0.4209 0.75960 0.860 0.120 0.020
#> 7A6BBBE6-2B3B-44EB-A101-C823739AB24F 2 0.3267 0.64469 0.116 0.884 0.000
#> 0782D25A-3B14-499E-A40C-3852B3A15B8B 2 0.3116 0.64390 0.108 0.892 0.000
#> 31D4B639-D1E5-479B-AEC2-34F758F2E470 1 0.5070 0.59173 0.772 0.004 0.224
#> C49078E1-E730-4E81-8EAE-5AAAB9FA1BF5 1 0.8107 0.23058 0.604 0.300 0.096
#> 48BCD3B8-917F-4E8F-BCEA-1363570A6486 1 0.6075 0.28604 0.676 0.316 0.008
#> F3BA6259-9F68-47D0-ABDD-1272AE112CAB 2 0.3116 0.64390 0.108 0.892 0.000
#> 3CA49BB1-30F6-47F3-A751-D5601E16BDBA 2 0.6505 0.26015 0.468 0.528 0.004
#> 47747595-686A-46B5-9EF4-A4CFB85D746D 3 0.5541 0.44684 0.252 0.008 0.740
#> 87974EFF-C2DE-4930-93E3-015E6D996440 2 0.6954 -0.46054 0.016 0.500 0.484
#> 7D272E6C-826D-4D02-8383-6A3D5BBF3A5F 3 0.0237 0.65177 0.000 0.004 0.996
#> 070E540B-34DB-4016-B573-84924407F57F 1 0.1878 0.75888 0.952 0.004 0.044
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#> 433599CC-9DF5-4494-A607-8079FFE74D95 2 0.5763 0.58542 0.276 0.716 0.008
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 2 0.7129 0.51138 0.104 0.716 0.180
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 3 0.6192 0.65708 0.000 0.420 0.580
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.3412 0.76042 0.876 0.124 0.000
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 1 0.4555 0.70452 0.800 0.200 0.000
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 1 0.3129 0.72215 0.904 0.008 0.088
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.0237 0.65177 0.000 0.004 0.996
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 3 0.6192 0.65708 0.000 0.420 0.580
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 3 0.6192 0.65708 0.000 0.420 0.580
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.6026 0.38979 0.376 0.624 0.000
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 1 0.5650 0.51477 0.688 0.312 0.000
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.2711 0.63193 0.088 0.912 0.000
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.2063 0.75006 0.948 0.008 0.044
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 3 0.6192 0.65708 0.000 0.420 0.580
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.2187 0.77637 0.948 0.028 0.024
#> 057B580C-13FD-4185-943C-9DD5266B8554 1 0.6714 0.63640 0.748 0.112 0.140
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 1 0.3983 0.76751 0.884 0.068 0.048
#> 287F3696-25CF-4E67-A934-E50856AD4790 2 0.6553 -0.27318 0.008 0.580 0.412
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.5926 0.44808 0.356 0.644 0.000
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 1 0.1337 0.76866 0.972 0.016 0.012
#> B80A74AB-A264-4396-93F8-FD976DBC1456 3 0.6192 0.65708 0.000 0.420 0.580
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.4399 0.61801 0.092 0.864 0.044
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.3412 0.76042 0.876 0.124 0.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.3482 0.75829 0.872 0.128 0.000
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 1 0.5656 0.62888 0.728 0.264 0.008
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 3 0.6192 0.65708 0.000 0.420 0.580
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 1 0.6308 -0.22687 0.508 0.492 0.000
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.2280 0.74624 0.940 0.008 0.052
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 1 0.4062 0.73880 0.836 0.164 0.000
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.2711 0.63193 0.088 0.912 0.000
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.0000 0.77362 1.000 0.000 0.000
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.6305 0.29172 0.484 0.516 0.000
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 2 0.6437 0.40105 0.048 0.732 0.220
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 1 0.5722 0.56197 0.704 0.292 0.004
#> DD292494-92A2-43CB-B59B-726B2F429B29 2 0.6102 0.51871 0.320 0.672 0.008
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.3112 0.71952 0.900 0.004 0.096
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 1 0.3816 0.75032 0.852 0.148 0.000
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 2 0.6598 0.28877 0.428 0.564 0.008
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 1 0.9399 -0.24908 0.452 0.372 0.176
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 1 0.4280 0.75784 0.856 0.124 0.020
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.6527 0.45530 0.660 0.020 0.320
#> 74CF740D-201D-4070-99B9-F007E7C4D472 1 0.6505 0.12163 0.528 0.004 0.468
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 2 0.6489 0.29245 0.456 0.540 0.004
#> 78F28873-E471-497A-9405-FB8955808599 3 0.6204 0.65155 0.000 0.424 0.576
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.3340 0.64753 0.120 0.880 0.000
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.2711 0.63058 0.088 0.912 0.000
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 1 0.6192 0.16024 0.580 0.420 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.0188 0.73614 0.000 0.000 0.996 0.004
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.1296 0.78853 0.964 0.028 0.004 0.004
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 1 0.4053 0.75906 0.768 0.228 0.000 0.004
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.2814 0.79044 0.868 0.132 0.000 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.3695 0.79105 0.828 0.156 0.000 0.016
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.3402 0.75350 0.832 0.004 0.000 0.164
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.4560 0.46290 0.000 0.700 0.004 0.296
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.4746 0.57835 0.056 0.776 0.000 0.168
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.3751 0.73472 0.800 0.004 0.000 0.196
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 1 0.5523 0.54036 0.596 0.380 0.000 0.024
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 1 0.6552 0.55300 0.576 0.096 0.000 0.328
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 2 0.8054 -0.07144 0.024 0.460 0.172 0.344
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.3355 0.75529 0.836 0.004 0.000 0.160
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 1 0.4018 0.76134 0.772 0.224 0.000 0.004
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.3751 0.73472 0.800 0.004 0.000 0.196
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 4 0.6432 0.64472 0.000 0.076 0.372 0.552
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 2 0.3978 0.61402 0.012 0.796 0.000 0.192
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 2 0.5462 0.56931 0.152 0.736 0.000 0.112
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.2773 0.79699 0.880 0.116 0.000 0.004
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.3450 0.75972 0.836 0.008 0.000 0.156
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 2 0.6850 0.51243 0.108 0.516 0.000 0.376
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 4 0.6583 0.46577 0.000 0.388 0.084 0.528
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 1 0.6468 0.57841 0.568 0.084 0.000 0.348
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 1 0.4093 0.72053 0.836 0.012 0.120 0.032
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 2 0.6845 0.43276 0.168 0.596 0.000 0.236
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 1 0.4194 0.75738 0.764 0.228 0.000 0.008
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.2216 0.79774 0.908 0.092 0.000 0.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 1 0.3311 0.78283 0.828 0.172 0.000 0.000
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.4746 0.57835 0.056 0.776 0.000 0.168
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 4 0.6443 0.64219 0.000 0.076 0.376 0.548
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 2 0.7442 0.10549 0.368 0.456 0.000 0.176
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.2760 0.57663 0.000 0.872 0.000 0.128
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.2345 0.79758 0.900 0.100 0.000 0.000
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 2 0.5016 0.41540 0.000 0.600 0.004 0.396
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 2 0.6776 0.45794 0.176 0.608 0.000 0.216
#> BE56F908-42DD-4019-A8AC-48884DA788B1 2 0.7105 0.38991 0.176 0.556 0.000 0.268
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 2 0.6500 0.55664 0.056 0.696 0.064 0.184
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 1 0.5730 0.59694 0.616 0.344 0.000 0.040
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 1 0.2573 0.76154 0.920 0.012 0.044 0.024
#> 791D9EB8-42E0-4192-B064-B1126CA14481 2 0.4746 0.57835 0.056 0.776 0.000 0.168
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 2 0.5168 -0.25577 0.000 0.500 0.004 0.496
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 2 0.4866 0.04923 0.000 0.596 0.000 0.404
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.3498 0.75801 0.832 0.008 0.000 0.160
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.2921 0.78814 0.860 0.140 0.000 0.000
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 3 0.0188 0.73443 0.000 0.000 0.996 0.004
#> D47C7B74-BB01-4614-B683-652F7130729C 4 0.6508 0.46094 0.000 0.344 0.088 0.568
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 1 0.5663 0.39505 0.536 0.440 0.000 0.024
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 2 0.5272 0.58705 0.084 0.744 0.000 0.172
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.1637 0.79233 0.940 0.060 0.000 0.000
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.4072 0.43584 0.000 0.748 0.000 0.252
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.2345 0.79758 0.900 0.100 0.000 0.000
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 1 0.5614 0.63207 0.652 0.304 0.000 0.044
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 2 0.4669 0.58111 0.052 0.780 0.000 0.168
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 4 0.7392 0.67222 0.000 0.232 0.248 0.520
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 3 0.5760 0.30376 0.448 0.000 0.524 0.028
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 1 0.6120 0.60132 0.628 0.296 0.000 0.076
#> 58F11B66-AE40-417E-B465-811C6CF7311C 1 0.4123 0.75950 0.772 0.220 0.000 0.008
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.3448 0.75152 0.828 0.004 0.000 0.168
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 2 0.5985 0.47358 0.052 0.596 0.000 0.352
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 2 0.4837 0.49940 0.004 0.648 0.000 0.348
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 2 0.3787 0.60094 0.036 0.840 0.000 0.124
#> 739952C6-FF36-4E34-B881-E02FE17C4012 1 0.3791 0.73450 0.796 0.004 0.000 0.200
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 1 0.3402 0.75350 0.832 0.004 0.000 0.164
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 2 0.3726 0.56470 0.000 0.788 0.000 0.212
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 1 0.6731 0.59238 0.604 0.148 0.000 0.248
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 1 0.1637 0.79233 0.940 0.060 0.000 0.000
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 1 0.3196 0.79296 0.856 0.136 0.000 0.008
#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 1 0.0592 0.78039 0.984 0.000 0.000 0.016
#> F6B26185-139B-47A7-91EC-E885D94AC882 1 0.5822 0.55080 0.576 0.028 0.004 0.392
#> 81F30B6F-3E9A-4913-986B-C56D5F107A17 2 0.6179 0.53566 0.056 0.552 0.000 0.392
#> 2CCB3AE1-0D27-4493-B7AE-67C60BBC1C38 4 0.6916 0.66053 0.000 0.148 0.280 0.572
#> 329665BC-B959-47C5-B831-5546F94EDAC1 2 0.4746 0.57835 0.056 0.776 0.000 0.168
#> 8D4335F6-6ACB-4E38-B9F2-A2B5B647AE90 1 0.4230 0.70536 0.776 0.008 0.004 0.212
#> D181D0D8-FD8C-4259-9B34-97224CF27E1B 2 0.4544 0.58541 0.048 0.788 0.000 0.164
#> C0C10950-ABC5-4125-A33E-5AFA2D2574B0 2 0.4356 0.40953 0.000 0.708 0.000 0.292
#> 834D12DB-0925-422C-B15B-20A60A5F658C 2 0.4713 0.58203 0.052 0.776 0.000 0.172
#> 50314689-519F-4B27-884C-7816DD64CF4E 1 0.2469 0.79570 0.892 0.108 0.000 0.000
#> 2502A23E-E168-4A78-9C14-B93FBC9715B1 3 0.6351 0.31952 0.428 0.004 0.516 0.052
#> 3F8D01A3-5449-48A1-BDBA-BFE4D908AE31 2 0.5649 0.49138 0.036 0.620 0.000 0.344
#> 1C47A87B-C033-4705-B903-DB33B8C6EC34 2 0.6500 -0.13136 0.444 0.484 0.000 0.072
#> 1329E1C1-743E-4541-9081-165572D4BF47 2 0.4307 0.60668 0.024 0.784 0.000 0.192
#> 1F3F8680-EEB6-4532-B81D-51957D1EA502 1 0.5690 0.74779 0.716 0.116 0.000 0.168
#> 50F69785-8B7A-4933-85B1-8DC539ACC72A 1 0.3539 0.74685 0.820 0.004 0.000 0.176
#> 9095FDD8-EEB2-4B17-85AB-3CDAC0BEC759 1 0.3455 0.79447 0.852 0.132 0.004 0.012
#> B6BF8C22-03E4-44F0-B2EF-2A3DD6ADE7D7 1 0.5250 0.71887 0.744 0.080 0.000 0.176
#> D6A907FC-3A1B-4E3B-A440-1CE9BE9B334B 2 0.4053 0.47756 0.004 0.768 0.000 0.228
#> 02588D5D-89CB-4D0B-9E96-A0270C3FF866 2 0.3790 0.59877 0.016 0.820 0.000 0.164
#> D50BBFC7-7774-4B12-938C-8D5373C12DFC 2 0.5040 0.18365 0.000 0.628 0.008 0.364
#> 6E930060-502B-49F5-A385-9B91DEBD05E4 1 0.2345 0.79758 0.900 0.100 0.000 0.000
#> F6606A8E-ACC6-4826-9547-E0017521724D 1 0.4897 0.65558 0.668 0.004 0.004 0.324
#> 981584D3-10DB-455C-8132-E8E5F44E1222 2 0.4746 0.57835 0.056 0.776 0.000 0.168
#> 47F6E197-7164-4289-95B5-8FD305A13B4C 1 0.3751 0.73472 0.800 0.004 0.000 0.196
#> 4522D871-9379-4643-B15E-9ACB556276C4 1 0.4561 0.71197 0.800 0.040 0.008 0.152
#> 7560B2B5-6AF5-4600-9F0A-BE25CF99B6B9 1 0.3831 0.73459 0.792 0.004 0.000 0.204
#> 38F5957E-0A99-432D-8F0B-B48E03F17668 1 0.3545 0.78749 0.828 0.164 0.000 0.008
#> 7A6BBBE6-2B3B-44EB-A101-C823739AB24F 2 0.1305 0.61910 0.004 0.960 0.000 0.036
#> 0782D25A-3B14-499E-A40C-3852B3A15B8B 2 0.3032 0.58111 0.008 0.868 0.000 0.124
#> 31D4B639-D1E5-479B-AEC2-34F758F2E470 1 0.5100 0.66219 0.752 0.004 0.052 0.192
#> C49078E1-E730-4E81-8EAE-5AAAB9FA1BF5 4 0.7418 0.00383 0.156 0.308 0.008 0.528
#> 48BCD3B8-917F-4E8F-BCEA-1363570A6486 2 0.6058 0.55559 0.060 0.604 0.000 0.336
#> F3BA6259-9F68-47D0-ABDD-1272AE112CAB 2 0.2401 0.59471 0.004 0.904 0.000 0.092
#> 3CA49BB1-30F6-47F3-A751-D5601E16BDBA 2 0.4746 0.57835 0.056 0.776 0.000 0.168
#> 47747595-686A-46B5-9EF4-A4CFB85D746D 3 0.6981 0.57347 0.236 0.020 0.624 0.120
#> 87974EFF-C2DE-4930-93E3-015E6D996440 4 0.7245 0.58365 0.000 0.324 0.164 0.512
#> 7D272E6C-826D-4D02-8383-6A3D5BBF3A5F 3 0.0000 0.73771 0.000 0.000 1.000 0.000
#> 070E540B-34DB-4016-B573-84924407F57F 1 0.2053 0.76569 0.924 0.000 0.004 0.072
#> 63F4281A-4D90-4589-879E-549097FB3459 1 0.4352 0.79084 0.816 0.104 0.000 0.080
#> 93A66EA0-0C74-4342-8140-72ECB01F99A1 1 0.4328 0.70783 0.748 0.008 0.000 0.244
#> C92AD683-FD09-4DD2-A5A5-C72EA5DD9B46 1 0.6362 0.67928 0.656 0.176 0.000 0.168
#> 38D2BE9E-15D4-47BC-8FEB-55310F23825B 2 0.4562 0.59472 0.028 0.764 0.000 0.208
#> B3029936-1EEF-4378-AA28-D5B2A32CDC86 1 0.2999 0.74404 0.864 0.004 0.000 0.132
#> 9A33172F-AEEA-4B7D-9605-0C60D7872CEA 1 0.2593 0.75979 0.892 0.004 0.000 0.104
#> F2BC32E5-4117-468E-B637-9EDB6E9CC6C7 3 0.7785 0.33358 0.348 0.000 0.404 0.248
#> EC319D0D-96C5-49DB-A2C4-BB6BFED6844F 1 0.2647 0.79338 0.880 0.120 0.000 0.000
#> 8CB71499-1B35-417D-95E1-D85CE71A2D8A 1 0.3837 0.76268 0.776 0.224 0.000 0.000
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#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 4 0.7744 0.65563 0.012 0.260 0.212 0.516
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 2 0.6409 0.44011 0.076 0.560 0.000 0.364
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 2 0.4304 0.39340 0.000 0.716 0.000 0.284
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 2 0.2675 0.59401 0.008 0.892 0.000 0.100
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.3402 0.75350 0.832 0.004 0.000 0.164
#> E15EAAB4-0860-4716-9922-667F604CDF12 1 0.3032 0.79399 0.868 0.124 0.000 0.008
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 2 0.6009 0.57277 0.056 0.656 0.008 0.280
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 1 0.3105 0.78790 0.856 0.140 0.000 0.004
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 1 0.7751 0.11481 0.484 0.008 0.200 0.308
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.1792 0.79579 0.932 0.068 0.000 0.000
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 2 0.4040 0.44238 0.000 0.752 0.000 0.248
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 2 0.0921 0.62434 0.000 0.972 0.000 0.028
#> E2A4C651-977F-4F40-B5EC-46DF75944141 1 0.3908 0.72388 0.784 0.004 0.000 0.212
#> 433599CC-9DF5-4494-A607-8079FFE74D95 2 0.5793 0.47396 0.040 0.600 0.000 0.360
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 2 0.6648 0.25029 0.000 0.612 0.140 0.248
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 4 0.6482 0.65706 0.000 0.084 0.352 0.564
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.1792 0.79411 0.932 0.068 0.000 0.000
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 1 0.5106 0.72901 0.720 0.240 0.000 0.040
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 1 0.4198 0.71126 0.768 0.004 0.004 0.224
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.0817 0.72083 0.000 0.000 0.976 0.024
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 4 0.6536 0.65796 0.000 0.088 0.352 0.560
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 4 0.6443 0.64219 0.000 0.076 0.376 0.548
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.2256 0.63423 0.020 0.924 0.000 0.056
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 2 0.6000 0.23795 0.356 0.592 0.000 0.052
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.3569 0.51412 0.000 0.804 0.000 0.196
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.3870 0.72967 0.788 0.004 0.000 0.208
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 4 0.6443 0.64219 0.000 0.076 0.376 0.548
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.1902 0.79121 0.932 0.064 0.000 0.004
#> 057B580C-13FD-4185-943C-9DD5266B8554 1 0.6116 0.69517 0.692 0.136 0.004 0.168
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 1 0.5205 0.70490 0.768 0.064 0.012 0.156
#> 287F3696-25CF-4E67-A934-E50856AD4790 4 0.7237 0.62235 0.000 0.296 0.176 0.528
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.0672 0.62609 0.008 0.984 0.000 0.008
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 1 0.5361 0.62338 0.636 0.016 0.004 0.344
#> B80A74AB-A264-4396-93F8-FD976DBC1456 4 0.6508 0.65428 0.000 0.084 0.360 0.556
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.4769 0.53897 0.008 0.684 0.000 0.308
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.2704 0.79275 0.876 0.124 0.000 0.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.2401 0.79563 0.904 0.092 0.000 0.004
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 1 0.6754 0.61514 0.612 0.204 0.000 0.184
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 4 0.6554 0.64798 0.000 0.084 0.376 0.540
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.4746 0.57835 0.056 0.776 0.000 0.168
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.3710 0.73731 0.804 0.004 0.000 0.192
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 1 0.6664 0.64339 0.616 0.232 0.000 0.152
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.3764 0.50489 0.000 0.784 0.000 0.216
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.2999 0.76412 0.864 0.004 0.000 0.132
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.4669 0.58111 0.052 0.780 0.000 0.168
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 4 0.7164 0.58627 0.000 0.320 0.156 0.524
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 2 0.7717 -0.08187 0.384 0.392 0.000 0.224
#> DD292494-92A2-43CB-B59B-726B2F429B29 2 0.5198 0.57609 0.040 0.708 0.000 0.252
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.2860 0.75486 0.888 0.008 0.004 0.100
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 1 0.4434 0.75742 0.756 0.228 0.000 0.016
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 1 0.7529 0.37773 0.488 0.224 0.000 0.288
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 4 0.7088 -0.39173 0.100 0.392 0.008 0.500
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 1 0.1902 0.79121 0.932 0.064 0.000 0.004
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.4693 0.67542 0.788 0.012 0.032 0.168
#> 74CF740D-201D-4070-99B9-F007E7C4D472 1 0.7156 0.32100 0.520 0.000 0.152 0.328
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 2 0.4789 0.57902 0.056 0.772 0.000 0.172
#> 78F28873-E471-497A-9405-FB8955808599 4 0.7178 0.66731 0.000 0.156 0.324 0.520
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.3142 0.57730 0.008 0.860 0.000 0.132
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.2281 0.59868 0.000 0.904 0.000 0.096
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 2 0.5457 0.58704 0.088 0.728 0.000 0.184
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.0963 0.7964 0.000 0.000 0.964 0.000 0.036
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.2732 0.6848 0.840 0.000 0.000 0.160 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 1 0.0771 0.7043 0.976 0.020 0.000 0.004 0.000
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.0566 0.7037 0.984 0.012 0.004 0.000 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.2727 0.7042 0.888 0.012 0.020 0.080 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.4227 0.4474 0.580 0.000 0.000 0.420 0.000
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.2060 0.7075 0.008 0.924 0.000 0.016 0.052
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.4595 -0.3476 0.000 0.504 0.004 0.488 0.004
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.4297 0.3500 0.528 0.000 0.000 0.472 0.000
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 1 0.5887 0.1792 0.476 0.100 0.000 0.424 0.000
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 4 0.5868 0.2015 0.292 0.132 0.000 0.576 0.000
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 2 0.5878 -0.0320 0.000 0.572 0.004 0.316 0.108
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.4781 0.4238 0.552 0.000 0.020 0.428 0.000
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 1 0.0671 0.7046 0.980 0.016 0.000 0.004 0.000
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.4904 0.3293 0.504 0.000 0.024 0.472 0.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 5 0.0162 0.8325 0.000 0.000 0.004 0.000 0.996
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 4 0.4627 0.2486 0.012 0.444 0.000 0.544 0.000
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 4 0.5243 0.4536 0.048 0.412 0.000 0.540 0.000
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.1116 0.7108 0.964 0.004 0.004 0.028 0.000
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.4045 0.5365 0.644 0.000 0.000 0.356 0.000
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 4 0.4375 0.2494 0.000 0.364 0.004 0.628 0.004
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 2 0.5043 0.5443 0.000 0.692 0.000 0.100 0.208
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 4 0.4219 -0.1764 0.416 0.000 0.000 0.584 0.000
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 1 0.3196 0.6789 0.804 0.000 0.004 0.192 0.000
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 2 0.3968 0.6458 0.024 0.768 0.000 0.204 0.004
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 1 0.2390 0.6816 0.896 0.020 0.000 0.084 0.000
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.0613 0.7039 0.984 0.008 0.004 0.004 0.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 1 0.0798 0.7052 0.976 0.016 0.000 0.008 0.000
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 4 0.4562 0.4180 0.000 0.444 0.004 0.548 0.004
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 5 0.0162 0.8325 0.000 0.000 0.004 0.000 0.996
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 4 0.5329 0.4890 0.108 0.236 0.000 0.656 0.000
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.0290 0.6899 0.000 0.992 0.000 0.008 0.000
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.0992 0.7020 0.968 0.008 0.024 0.000 0.000
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 2 0.2446 0.7103 0.000 0.900 0.000 0.056 0.044
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 2 0.5822 0.3217 0.292 0.592 0.000 0.112 0.004
#> BE56F908-42DD-4019-A8AC-48884DA788B1 2 0.4955 0.6393 0.036 0.724 0.000 0.204 0.036
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 4 0.5058 0.4344 0.000 0.380 0.004 0.584 0.032
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 4 0.6415 -0.0623 0.420 0.148 0.000 0.428 0.004
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 1 0.3039 0.6767 0.808 0.000 0.000 0.192 0.000
#> 791D9EB8-42E0-4192-B064-B1126CA14481 4 0.4524 0.4357 0.000 0.420 0.004 0.572 0.004
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 2 0.3160 0.6163 0.000 0.808 0.000 0.004 0.188
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 2 0.3160 0.6151 0.000 0.808 0.000 0.004 0.188
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.4855 0.4284 0.552 0.000 0.024 0.424 0.000
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.0671 0.7026 0.980 0.016 0.004 0.000 0.000
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 3 0.1168 0.7968 0.000 0.000 0.960 0.008 0.032
#> D47C7B74-BB01-4614-B683-652F7130729C 2 0.4465 0.5960 0.000 0.736 0.000 0.060 0.204
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 4 0.5922 0.0258 0.388 0.108 0.000 0.504 0.000
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 2 0.5357 0.3940 0.068 0.588 0.000 0.344 0.000
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.1243 0.7019 0.960 0.004 0.028 0.008 0.000
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.4127 0.6557 0.000 0.784 0.000 0.080 0.136
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.1243 0.7018 0.960 0.008 0.028 0.004 0.000
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 1 0.4087 0.5687 0.784 0.040 0.000 0.168 0.008
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 4 0.4383 0.4325 0.000 0.424 0.004 0.572 0.000
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 5 0.4084 0.5046 0.000 0.328 0.000 0.004 0.668
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 1 0.5572 0.5679 0.644 0.000 0.164 0.192 0.000
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 1 0.3982 0.6031 0.812 0.060 0.000 0.116 0.012
#> 58F11B66-AE40-417E-B465-811C6CF7311C 1 0.2835 0.6521 0.868 0.016 0.004 0.112 0.000
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.4287 0.3759 0.540 0.000 0.000 0.460 0.000
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 2 0.4035 0.6495 0.008 0.756 0.000 0.220 0.016
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 2 0.3707 0.6472 0.008 0.768 0.000 0.220 0.004
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 2 0.3790 0.2238 0.000 0.724 0.004 0.272 0.000
#> 739952C6-FF36-4E34-B881-E02FE17C4012 1 0.4297 0.3500 0.528 0.000 0.000 0.472 0.000
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 1 0.4886 0.3878 0.528 0.000 0.024 0.448 0.000
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 2 0.0579 0.6968 0.008 0.984 0.000 0.008 0.000
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 4 0.5052 0.0526 0.340 0.048 0.000 0.612 0.000
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 1 0.0486 0.7055 0.988 0.004 0.004 0.004 0.000
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 1 0.2563 0.6986 0.872 0.008 0.000 0.120 0.000
#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 1 0.3932 0.5747 0.672 0.000 0.000 0.328 0.000
#> F6B26185-139B-47A7-91EC-E885D94AC882 4 0.4639 -0.0225 0.344 0.024 0.000 0.632 0.000
#> 81F30B6F-3E9A-4913-986B-C56D5F107A17 4 0.4225 0.2518 0.000 0.364 0.004 0.632 0.000
#> 2CCB3AE1-0D27-4493-B7AE-67C60BBC1C38 5 0.0162 0.8302 0.000 0.004 0.000 0.000 0.996
#> 329665BC-B959-47C5-B831-5546F94EDAC1 4 0.4375 0.4370 0.000 0.420 0.004 0.576 0.000
#> 8D4335F6-6ACB-4E38-B9F2-A2B5B647AE90 1 0.4201 0.5205 0.592 0.000 0.000 0.408 0.000
#> D181D0D8-FD8C-4259-9B34-97224CF27E1B 4 0.4242 0.4287 0.000 0.428 0.000 0.572 0.000
#> C0C10950-ABC5-4125-A33E-5AFA2D2574B0 2 0.0794 0.6998 0.000 0.972 0.000 0.000 0.028
#> 834D12DB-0925-422C-B15B-20A60A5F658C 4 0.4425 0.4064 0.000 0.452 0.004 0.544 0.000
#> 50314689-519F-4B27-884C-7816DD64CF4E 1 0.0451 0.7042 0.988 0.008 0.004 0.000 0.000
#> 2502A23E-E168-4A78-9C14-B93FBC9715B1 1 0.6221 0.3965 0.528 0.000 0.172 0.300 0.000
#> 3F8D01A3-5449-48A1-BDBA-BFE4D908AE31 2 0.3828 0.6482 0.008 0.764 0.000 0.220 0.008
#> 1C47A87B-C033-4705-B903-DB33B8C6EC34 4 0.6433 0.1697 0.352 0.184 0.000 0.464 0.000
#> 1329E1C1-743E-4541-9081-165572D4BF47 2 0.4891 0.5684 0.112 0.716 0.000 0.172 0.000
#> 1F3F8680-EEB6-4532-B81D-51957D1EA502 4 0.5049 -0.2849 0.472 0.004 0.024 0.500 0.000
#> 50F69785-8B7A-4933-85B1-8DC539ACC72A 1 0.4287 0.3759 0.540 0.000 0.000 0.460 0.000
#> 9095FDD8-EEB2-4B17-85AB-3CDAC0BEC759 1 0.3424 0.6433 0.760 0.000 0.000 0.240 0.000
#> B6BF8C22-03E4-44F0-B2EF-2A3DD6ADE7D7 1 0.4829 0.3243 0.500 0.000 0.020 0.480 0.000
#> D6A907FC-3A1B-4E3B-A440-1CE9BE9B334B 2 0.2727 0.7049 0.024 0.896 0.000 0.024 0.056
#> 02588D5D-89CB-4D0B-9E96-A0270C3FF866 4 0.4434 0.3454 0.000 0.460 0.004 0.536 0.000
#> D50BBFC7-7774-4B12-938C-8D5373C12DFC 2 0.2970 0.6402 0.000 0.828 0.000 0.004 0.168
#> 6E930060-502B-49F5-A385-9B91DEBD05E4 1 0.0854 0.7057 0.976 0.008 0.012 0.004 0.000
#> F6606A8E-ACC6-4826-9547-E0017521724D 4 0.4304 -0.3318 0.484 0.000 0.000 0.516 0.000
#> 981584D3-10DB-455C-8132-E8E5F44E1222 4 0.4524 0.4357 0.000 0.420 0.004 0.572 0.004
#> 47F6E197-7164-4289-95B5-8FD305A13B4C 1 0.4300 0.3465 0.524 0.000 0.000 0.476 0.000
#> 4522D871-9379-4643-B15E-9ACB556276C4 1 0.3336 0.6643 0.772 0.000 0.000 0.228 0.000
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#> CAD6E491-88FB-4221-90E9-AC9C68AECCB0 1 0.3415 0.6137 0.840 0.028 0.004 0.124 0.004
#> 15EFBC5B-C713-4718-BB6F-0EBBE4D6997F 2 0.4782 0.5671 0.196 0.732 0.000 0.060 0.012
#> BBA00038-09B1-461D-9F8E-484890B0D130 1 0.5065 0.4370 0.664 0.284 0.000 0.036 0.016
#> 16EBB885-A692-42A6-9027-F6AD769E0ABB 1 0.1124 0.7078 0.960 0.000 0.004 0.036 0.000
#> 2D57E24B-97A6-4B85-BC8F-3E02DDC6C460 2 0.3327 0.6706 0.000 0.828 0.000 0.028 0.144
#> C6E39F86-9DEF-4BCA-930B-2A3993D18901 4 0.4383 0.4325 0.000 0.424 0.004 0.572 0.000
#> 5BE4D8E9-DA18-426F-8AE6-075B15010390 1 0.4256 0.4171 0.564 0.000 0.000 0.436 0.000
#> 8E9CAAC7-31D3-473C-821C-2DAD37B44D3A 2 0.1518 0.7043 0.004 0.944 0.000 0.004 0.048
#> 368CFCA3-7BAB-4D6D-9AE1-55713A9965C1 3 0.6761 -0.1247 0.352 0.000 0.380 0.268 0.000
#> 14DB79EF-DE2B-4197-AD32-F657E0655FCD 2 0.2020 0.6826 0.000 0.900 0.000 0.100 0.000
#> E73BCFCB-C5FE-4BF2-A236-B9E69711C121 1 0.1278 0.7008 0.960 0.016 0.004 0.020 0.000
#> CDAFAFEA-365B-4F25-AEC0-639B6E0CB626 2 0.3757 0.6466 0.020 0.772 0.000 0.208 0.000
#> 48A2AAEB-7F60-4284-808E-2058A531B17C 2 0.1430 0.6779 0.000 0.944 0.000 0.052 0.004
#> D4276C6F-9F0F-4F74-A85E-1E54272ADDED 2 0.3336 0.6597 0.008 0.832 0.000 0.016 0.144
#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 2 0.2632 0.6800 0.000 0.888 0.000 0.072 0.040
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 2 0.3053 0.6783 0.008 0.828 0.000 0.164 0.000
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 5 0.8658 0.0289 0.076 0.060 0.304 0.168 0.392
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 1 0.4826 0.3334 0.508 0.000 0.020 0.472 0.000
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 1 0.6706 0.1956 0.404 0.000 0.248 0.348 0.000
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 4 0.6083 0.4852 0.176 0.208 0.004 0.608 0.004
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 1 0.2653 0.7057 0.880 0.000 0.024 0.096 0.000
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 1 0.6068 0.1997 0.532 0.140 0.000 0.328 0.000
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 4 0.5237 0.4880 0.100 0.236 0.000 0.664 0.000
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 2 0.3086 0.6706 0.004 0.816 0.000 0.180 0.000
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 4 0.4594 0.3492 0.000 0.484 0.004 0.508 0.004
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 1 0.0898 0.7050 0.972 0.020 0.000 0.008 0.000
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 4 0.4446 0.2977 0.000 0.476 0.004 0.520 0.000
#> C7997523-47CF-40F0-8803-AB873E38033C 4 0.4524 0.4357 0.000 0.420 0.004 0.572 0.004
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 2 0.4251 0.4581 0.000 0.672 0.000 0.012 0.316
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 5 0.0404 0.8297 0.000 0.000 0.012 0.000 0.988
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 1 0.6160 0.4681 0.544 0.000 0.172 0.284 0.000
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 1 0.4709 0.5215 0.612 0.000 0.024 0.364 0.000
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 2 0.5078 -0.1995 0.000 0.576 0.004 0.388 0.032
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 2 0.1725 0.6997 0.020 0.936 0.000 0.044 0.000
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 3 0.1168 0.7968 0.000 0.000 0.960 0.008 0.032
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 4 0.4383 0.4325 0.000 0.424 0.004 0.572 0.000
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 1 0.2852 0.6804 0.828 0.000 0.000 0.172 0.000
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.2605 0.6837 0.852 0.000 0.000 0.148 0.000
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 1 0.1682 0.6985 0.940 0.044 0.004 0.012 0.000
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 1 0.4297 0.3593 0.528 0.000 0.000 0.472 0.000
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 2 0.6464 0.4396 0.044 0.588 0.000 0.108 0.260
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 2 0.5305 0.6269 0.052 0.692 0.000 0.224 0.032
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 2 0.1492 0.7048 0.008 0.948 0.000 0.004 0.040
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 2 0.0162 0.6934 0.004 0.996 0.000 0.000 0.000
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.4900 0.3484 0.512 0.000 0.024 0.464 0.000
#> E15EAAB4-0860-4716-9922-667F604CDF12 1 0.2286 0.7080 0.888 0.004 0.000 0.108 0.000
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 4 0.4576 0.3732 0.000 0.456 0.004 0.536 0.004
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 1 0.1074 0.7027 0.968 0.016 0.004 0.012 0.000
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 4 0.6421 0.0685 0.276 0.004 0.172 0.544 0.004
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.0324 0.7049 0.992 0.004 0.004 0.000 0.000
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 2 0.2719 0.6593 0.000 0.852 0.000 0.004 0.144
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 2 0.0703 0.6841 0.000 0.976 0.000 0.024 0.000
#> E2A4C651-977F-4F40-B5EC-46DF75944141 1 0.4304 0.3265 0.516 0.000 0.000 0.484 0.000
#> 433599CC-9DF5-4494-A607-8079FFE74D95 2 0.4215 0.6496 0.008 0.748 0.000 0.220 0.024
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 2 0.3081 0.6676 0.000 0.832 0.000 0.012 0.156
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 5 0.0000 0.8325 0.000 0.000 0.000 0.000 1.000
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.0451 0.7042 0.988 0.008 0.004 0.000 0.000
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 1 0.6742 0.1076 0.464 0.344 0.000 0.180 0.012
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 1 0.4297 0.3587 0.528 0.000 0.000 0.472 0.000
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.2813 0.6572 0.000 0.000 0.832 0.000 0.168
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 5 0.0000 0.8325 0.000 0.000 0.000 0.000 1.000
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 5 0.0162 0.8325 0.000 0.000 0.004 0.000 0.996
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.1646 0.6870 0.020 0.944 0.000 0.032 0.004
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 2 0.6745 -0.1497 0.280 0.408 0.000 0.312 0.000
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.2635 0.6995 0.008 0.888 0.000 0.016 0.088
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.4297 0.3500 0.528 0.000 0.000 0.472 0.000
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 5 0.0404 0.8297 0.000 0.000 0.012 0.000 0.988
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.1116 0.7045 0.964 0.004 0.004 0.028 0.000
#> 057B580C-13FD-4185-943C-9DD5266B8554 1 0.4184 0.6472 0.740 0.024 0.004 0.232 0.000
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 1 0.2732 0.6941 0.840 0.000 0.000 0.160 0.000
#> 287F3696-25CF-4E67-A934-E50856AD4790 5 0.6638 0.1960 0.000 0.276 0.000 0.272 0.452
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.3730 0.4257 0.000 0.712 0.000 0.288 0.000
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 4 0.4359 -0.1901 0.412 0.004 0.000 0.584 0.000
#> B80A74AB-A264-4396-93F8-FD976DBC1456 5 0.0000 0.8325 0.000 0.000 0.000 0.000 1.000
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.0963 0.6971 0.000 0.964 0.000 0.036 0.000
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.0579 0.7064 0.984 0.008 0.000 0.008 0.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.0833 0.7042 0.976 0.004 0.004 0.016 0.000
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 1 0.5792 0.3533 0.628 0.240 0.000 0.124 0.008
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 5 0.2130 0.7813 0.000 0.080 0.012 0.000 0.908
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 4 0.4524 0.4357 0.000 0.420 0.004 0.572 0.004
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.4297 0.3500 0.528 0.000 0.000 0.472 0.000
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 1 0.3664 0.6318 0.824 0.052 0.004 0.120 0.000
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.1544 0.7030 0.000 0.932 0.000 0.000 0.068
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.4060 0.5326 0.640 0.000 0.000 0.360 0.000
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 4 0.4524 0.4357 0.000 0.420 0.004 0.572 0.004
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 2 0.4537 0.2998 0.000 0.592 0.000 0.012 0.396
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 2 0.6411 0.0730 0.424 0.444 0.000 0.120 0.012
#> DD292494-92A2-43CB-B59B-726B2F429B29 2 0.5553 0.4924 0.216 0.660 0.000 0.116 0.008
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.4283 0.3976 0.544 0.000 0.000 0.456 0.000
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 1 0.3399 0.6661 0.812 0.020 0.000 0.168 0.000
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 2 0.6412 0.4657 0.244 0.592 0.000 0.132 0.032
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 4 0.5989 0.3468 0.072 0.396 0.000 0.516 0.016
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 1 0.0833 0.7042 0.976 0.004 0.004 0.016 0.000
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.4157 0.6406 0.716 0.000 0.020 0.264 0.000
#> 74CF740D-201D-4070-99B9-F007E7C4D472 4 0.4798 -0.1471 0.396 0.000 0.024 0.580 0.000
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 4 0.4524 0.4357 0.000 0.420 0.004 0.572 0.004
#> 78F28873-E471-497A-9405-FB8955808599 5 0.2890 0.7111 0.000 0.160 0.004 0.000 0.836
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.0854 0.6999 0.008 0.976 0.000 0.004 0.012
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.0000 0.6920 0.000 1.000 0.000 0.000 0.000
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 4 0.6508 0.3677 0.264 0.248 0.000 0.488 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.0146 0.9849 0.000 0.000 0.996 0.000 0.004 0.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 6 0.3817 0.6058 0.432 0.000 0.000 0.000 0.000 0.568
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 1 0.2361 0.7175 0.884 0.000 0.000 0.028 0.000 0.088
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.0260 0.7221 0.992 0.000 0.000 0.000 0.000 0.008
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.2805 0.6525 0.812 0.004 0.000 0.000 0.000 0.184
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 6 0.3765 0.6913 0.404 0.000 0.000 0.000 0.000 0.596
#> 966A3A03-3879-4816-A1E9-D805F6018836 4 0.0547 0.7709 0.000 0.020 0.000 0.980 0.000 0.000
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.3136 0.7824 0.000 0.768 0.000 0.228 0.000 0.004
#> 18971368-40F0-42D3-B1A3-707850C53B18 6 0.3695 0.6988 0.376 0.000 0.000 0.000 0.000 0.624
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 1 0.5693 0.4698 0.612 0.056 0.000 0.088 0.000 0.244
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 6 0.6063 0.5601 0.152 0.076 0.000 0.168 0.000 0.604
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 4 0.4483 0.1548 0.000 0.320 0.000 0.636 0.040 0.004
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 6 0.3911 0.6907 0.368 0.008 0.000 0.000 0.000 0.624
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 1 0.2383 0.7116 0.880 0.000 0.000 0.024 0.000 0.096
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 6 0.3911 0.7076 0.368 0.008 0.000 0.000 0.000 0.624
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 5 0.0000 0.9072 0.000 0.000 0.000 0.000 1.000 0.000
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 4 0.3641 0.6386 0.000 0.248 0.000 0.732 0.000 0.020
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 2 0.7435 0.3235 0.144 0.368 0.000 0.216 0.000 0.272
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.2340 0.6650 0.852 0.000 0.000 0.000 0.000 0.148
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 6 0.3851 0.6316 0.460 0.000 0.000 0.000 0.000 0.540
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 2 0.4234 0.5444 0.016 0.732 0.000 0.208 0.000 0.044
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 4 0.0291 0.7706 0.000 0.004 0.000 0.992 0.000 0.004
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 6 0.4009 0.6902 0.304 0.012 0.000 0.008 0.000 0.676
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 6 0.3881 0.6244 0.396 0.004 0.000 0.000 0.000 0.600
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 4 0.3840 0.7195 0.024 0.128 0.000 0.796 0.000 0.052
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 1 0.4378 0.6511 0.756 0.056 0.000 0.040 0.000 0.148
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.0000 0.7213 1.000 0.000 0.000 0.000 0.000 0.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 1 0.2100 0.7081 0.884 0.004 0.000 0.000 0.000 0.112
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.2805 0.7916 0.000 0.812 0.000 0.184 0.000 0.004
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 5 0.0000 0.9072 0.000 0.000 0.000 0.000 1.000 0.000
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 6 0.5876 0.2821 0.024 0.224 0.000 0.180 0.000 0.572
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 4 0.1444 0.7538 0.000 0.072 0.000 0.928 0.000 0.000
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.0972 0.7148 0.964 0.008 0.000 0.000 0.000 0.028
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 4 0.0632 0.7719 0.000 0.024 0.000 0.976 0.000 0.000
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 4 0.4752 0.6285 0.156 0.036 0.000 0.724 0.000 0.084
#> BE56F908-42DD-4019-A8AC-48884DA788B1 4 0.3952 0.7173 0.028 0.120 0.000 0.792 0.000 0.060
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 2 0.2871 0.7863 0.000 0.804 0.000 0.192 0.000 0.004
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 4 0.6172 0.3104 0.336 0.092 0.000 0.508 0.000 0.064
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 6 0.3244 0.6310 0.268 0.000 0.000 0.000 0.000 0.732
#> 791D9EB8-42E0-4192-B064-B1126CA14481 2 0.2632 0.7875 0.000 0.832 0.000 0.164 0.000 0.004
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 4 0.0547 0.7686 0.000 0.020 0.000 0.980 0.000 0.000
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 4 0.0547 0.7671 0.000 0.020 0.000 0.980 0.000 0.000
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 6 0.3789 0.6812 0.332 0.008 0.000 0.000 0.000 0.660
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.0000 0.7213 1.000 0.000 0.000 0.000 0.000 0.000
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 3 0.0551 0.9804 0.000 0.000 0.984 0.004 0.004 0.008
#> D47C7B74-BB01-4614-B683-652F7130729C 4 0.0717 0.7726 0.000 0.008 0.000 0.976 0.000 0.016
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 1 0.6933 0.3593 0.476 0.148 0.000 0.124 0.000 0.252
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#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 4 0.0865 0.7653 0.000 0.036 0.000 0.964 0.000 0.000
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 6 0.3789 0.6818 0.416 0.000 0.000 0.000 0.000 0.584
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.2632 0.7875 0.000 0.832 0.000 0.164 0.000 0.004
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 4 0.3136 0.6930 0.000 0.016 0.000 0.796 0.188 0.000
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 4 0.4698 0.6531 0.128 0.052 0.000 0.740 0.000 0.080
#> DD292494-92A2-43CB-B59B-726B2F429B29 4 0.3430 0.7321 0.060 0.076 0.000 0.836 0.000 0.028
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 6 0.3351 0.7051 0.288 0.000 0.000 0.000 0.000 0.712
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 1 0.5188 0.5664 0.684 0.072 0.000 0.060 0.000 0.184
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 4 0.3788 0.7355 0.056 0.092 0.000 0.812 0.000 0.040
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 2 0.6235 0.4352 0.000 0.460 0.000 0.308 0.016 0.216
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 1 0.1501 0.7097 0.924 0.000 0.000 0.000 0.000 0.076
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 6 0.4356 0.6461 0.304 0.004 0.004 0.028 0.000 0.660
#> 74CF740D-201D-4070-99B9-F007E7C4D472 6 0.2408 0.6124 0.068 0.008 0.004 0.024 0.000 0.896
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 2 0.2738 0.7914 0.000 0.820 0.000 0.176 0.000 0.004
#> 78F28873-E471-497A-9405-FB8955808599 5 0.2562 0.7378 0.000 0.000 0.000 0.172 0.828 0.000
#> 29294D9A-434B-4581-9591-63D16107C7B1 4 0.0458 0.7689 0.000 0.016 0.000 0.984 0.000 0.000
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 4 0.1387 0.7560 0.000 0.068 0.000 0.932 0.000 0.000
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 4 0.6644 0.3968 0.096 0.192 0.000 0.528 0.000 0.184
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["MAD", "NMF"]
# you can also extract it by
# res = res_list["MAD:NMF"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#> On a matrix with 17397 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 0.764 0.875 0.948 0.4703 0.531 0.531
#> 3 3 0.730 0.834 0.928 0.3162 0.704 0.510
#> 4 4 0.575 0.587 0.780 0.1680 0.807 0.551
#> 5 5 0.659 0.685 0.832 0.0842 0.814 0.459
#> 6 6 0.643 0.502 0.679 0.0443 0.919 0.662
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
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 2 0.0000 0.9309 0.000 1.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.0000 0.9504 1.000 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 1 0.0000 0.9504 1.000 0.000
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.0000 0.9504 1.000 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.0000 0.9504 1.000 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.0000 0.9504 1.000 0.000
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.0000 0.9309 0.000 1.000
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.9710 0.3652 0.400 0.600
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.0000 0.9504 1.000 0.000
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 1 0.0000 0.9504 1.000 0.000
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 1 0.0000 0.9504 1.000 0.000
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 2 0.0000 0.9309 0.000 1.000
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.0000 0.9504 1.000 0.000
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 1 0.0000 0.9504 1.000 0.000
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.0000 0.9504 1.000 0.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 2 0.0000 0.9309 0.000 1.000
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 1 0.0000 0.9504 1.000 0.000
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 1 0.0000 0.9504 1.000 0.000
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.0000 0.9504 1.000 0.000
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.0000 0.9504 1.000 0.000
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 1 0.0000 0.9504 1.000 0.000
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 2 0.0000 0.9309 0.000 1.000
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 1 0.0000 0.9504 1.000 0.000
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 1 0.0000 0.9504 1.000 0.000
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 1 0.5629 0.8222 0.868 0.132
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 1 0.0000 0.9504 1.000 0.000
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.0000 0.9504 1.000 0.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 1 0.0000 0.9504 1.000 0.000
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.9710 0.3652 0.400 0.600
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 2 0.0000 0.9309 0.000 1.000
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 1 0.0000 0.9504 1.000 0.000
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.0000 0.9309 0.000 1.000
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.0000 0.9504 1.000 0.000
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 2 0.0000 0.9309 0.000 1.000
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 1 0.0000 0.9504 1.000 0.000
#> BE56F908-42DD-4019-A8AC-48884DA788B1 1 0.9686 0.3302 0.604 0.396
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 2 0.7139 0.7398 0.196 0.804
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 1 0.0000 0.9504 1.000 0.000
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 1 0.7674 0.6965 0.776 0.224
#> 791D9EB8-42E0-4192-B064-B1126CA14481 1 0.5178 0.8444 0.884 0.116
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 2 0.0000 0.9309 0.000 1.000
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 2 0.0000 0.9309 0.000 1.000
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.0000 0.9504 1.000 0.000
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.0000 0.9504 1.000 0.000
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 2 0.0000 0.9309 0.000 1.000
#> D47C7B74-BB01-4614-B683-652F7130729C 2 0.0000 0.9309 0.000 1.000
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 1 0.0000 0.9504 1.000 0.000
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 1 0.0000 0.9504 1.000 0.000
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.0000 0.9504 1.000 0.000
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.0000 0.9309 0.000 1.000
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.0000 0.9504 1.000 0.000
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 1 0.0000 0.9504 1.000 0.000
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 2 0.9944 0.2007 0.456 0.544
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 2 0.0000 0.9309 0.000 1.000
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 1 0.9358 0.4446 0.648 0.352
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 1 0.0000 0.9504 1.000 0.000
#> 58F11B66-AE40-417E-B465-811C6CF7311C 1 0.0000 0.9504 1.000 0.000
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.0000 0.9504 1.000 0.000
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 2 0.0000 0.9309 0.000 1.000
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 2 0.2423 0.9034 0.040 0.960
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 2 0.0000 0.9309 0.000 1.000
#> 739952C6-FF36-4E34-B881-E02FE17C4012 1 0.0000 0.9504 1.000 0.000
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 1 0.0000 0.9504 1.000 0.000
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 2 0.0000 0.9309 0.000 1.000
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 1 0.0000 0.9504 1.000 0.000
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 1 0.0000 0.9504 1.000 0.000
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 1 0.0000 0.9504 1.000 0.000
#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 1 0.0000 0.9504 1.000 0.000
#> F6B26185-139B-47A7-91EC-E885D94AC882 1 0.0000 0.9504 1.000 0.000
#> 81F30B6F-3E9A-4913-986B-C56D5F107A17 1 0.8763 0.5722 0.704 0.296
#> 2CCB3AE1-0D27-4493-B7AE-67C60BBC1C38 2 0.0000 0.9309 0.000 1.000
#> 329665BC-B959-47C5-B831-5546F94EDAC1 1 0.3584 0.8935 0.932 0.068
#> 8D4335F6-6ACB-4E38-B9F2-A2B5B647AE90 1 0.0000 0.9504 1.000 0.000
#> D181D0D8-FD8C-4259-9B34-97224CF27E1B 1 0.7376 0.7266 0.792 0.208
#> C0C10950-ABC5-4125-A33E-5AFA2D2574B0 2 0.0000 0.9309 0.000 1.000
#> 834D12DB-0925-422C-B15B-20A60A5F658C 1 0.8608 0.5960 0.716 0.284
#> 50314689-519F-4B27-884C-7816DD64CF4E 1 0.0000 0.9504 1.000 0.000
#> 2502A23E-E168-4A78-9C14-B93FBC9715B1 1 0.0000 0.9504 1.000 0.000
#> 3F8D01A3-5449-48A1-BDBA-BFE4D908AE31 2 0.1414 0.9175 0.020 0.980
#> 1C47A87B-C033-4705-B903-DB33B8C6EC34 1 0.0000 0.9504 1.000 0.000
#> 1329E1C1-743E-4541-9081-165572D4BF47 1 0.0000 0.9504 1.000 0.000
#> 1F3F8680-EEB6-4532-B81D-51957D1EA502 1 0.0000 0.9504 1.000 0.000
#> 50F69785-8B7A-4933-85B1-8DC539ACC72A 1 0.0000 0.9504 1.000 0.000
#> 9095FDD8-EEB2-4B17-85AB-3CDAC0BEC759 1 0.9358 0.4496 0.648 0.352
#> B6BF8C22-03E4-44F0-B2EF-2A3DD6ADE7D7 1 0.0000 0.9504 1.000 0.000
#> D6A907FC-3A1B-4E3B-A440-1CE9BE9B334B 2 0.0000 0.9309 0.000 1.000
#> 02588D5D-89CB-4D0B-9E96-A0270C3FF866 1 0.9850 0.2288 0.572 0.428
#> D50BBFC7-7774-4B12-938C-8D5373C12DFC 2 0.0000 0.9309 0.000 1.000
#> 6E930060-502B-49F5-A385-9B91DEBD05E4 1 0.0000 0.9504 1.000 0.000
#> F6606A8E-ACC6-4826-9547-E0017521724D 1 0.0000 0.9504 1.000 0.000
#> 981584D3-10DB-455C-8132-E8E5F44E1222 2 0.9815 0.3117 0.420 0.580
#> 47F6E197-7164-4289-95B5-8FD305A13B4C 1 0.0000 0.9504 1.000 0.000
#> 4522D871-9379-4643-B15E-9ACB556276C4 1 0.9209 0.4809 0.664 0.336
#> 7560B2B5-6AF5-4600-9F0A-BE25CF99B6B9 1 0.0000 0.9504 1.000 0.000
#> 38F5957E-0A99-432D-8F0B-B48E03F17668 1 0.0000 0.9504 1.000 0.000
#> 7A6BBBE6-2B3B-44EB-A101-C823739AB24F 2 0.8081 0.6706 0.248 0.752
#> 0782D25A-3B14-499E-A40C-3852B3A15B8B 1 0.8144 0.6518 0.748 0.252
#> 31D4B639-D1E5-479B-AEC2-34F758F2E470 1 0.0000 0.9504 1.000 0.000
#> C49078E1-E730-4E81-8EAE-5AAAB9FA1BF5 2 0.0000 0.9309 0.000 1.000
#> 48BCD3B8-917F-4E8F-BCEA-1363570A6486 1 0.0000 0.9504 1.000 0.000
#> F3BA6259-9F68-47D0-ABDD-1272AE112CAB 2 0.3879 0.8734 0.076 0.924
#> 3CA49BB1-30F6-47F3-A751-D5601E16BDBA 1 0.7453 0.7204 0.788 0.212
#> 47747595-686A-46B5-9EF4-A4CFB85D746D 2 0.6887 0.7575 0.184 0.816
#> 87974EFF-C2DE-4930-93E3-015E6D996440 2 0.0000 0.9309 0.000 1.000
#> 7D272E6C-826D-4D02-8383-6A3D5BBF3A5F 2 0.0000 0.9309 0.000 1.000
#> 070E540B-34DB-4016-B573-84924407F57F 1 0.0000 0.9504 1.000 0.000
#> 63F4281A-4D90-4589-879E-549097FB3459 1 0.0000 0.9504 1.000 0.000
#> 93A66EA0-0C74-4342-8140-72ECB01F99A1 1 0.0000 0.9504 1.000 0.000
#> C92AD683-FD09-4DD2-A5A5-C72EA5DD9B46 1 0.0000 0.9504 1.000 0.000
#> 38D2BE9E-15D4-47BC-8FEB-55310F23825B 1 0.0000 0.9504 1.000 0.000
#> B3029936-1EEF-4378-AA28-D5B2A32CDC86 1 0.0000 0.9504 1.000 0.000
#> 9A33172F-AEEA-4B7D-9605-0C60D7872CEA 1 0.0000 0.9504 1.000 0.000
#> F2BC32E5-4117-468E-B637-9EDB6E9CC6C7 1 0.0000 0.9504 1.000 0.000
#> EC319D0D-96C5-49DB-A2C4-BB6BFED6844F 1 0.0000 0.9504 1.000 0.000
#> 8CB71499-1B35-417D-95E1-D85CE71A2D8A 1 0.0000 0.9504 1.000 0.000
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#> 74CF740D-201D-4070-99B9-F007E7C4D472 1 0.0000 0.9504 1.000 0.000
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 2 0.9909 0.2389 0.444 0.556
#> 78F28873-E471-497A-9405-FB8955808599 2 0.0000 0.9309 0.000 1.000
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.2603 0.9003 0.044 0.956
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.0000 0.9309 0.000 1.000
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 1 0.0000 0.9504 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.0000 0.8535 0.000 0.000 1.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.0000 0.9378 1.000 0.000 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 1 0.0000 0.9378 1.000 0.000 0.000
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.0000 0.9378 1.000 0.000 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.0000 0.9378 1.000 0.000 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.0000 0.9378 1.000 0.000 0.000
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.0424 0.9064 0.000 0.992 0.008
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.0237 0.9070 0.004 0.996 0.000
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.0000 0.9378 1.000 0.000 0.000
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 1 0.0892 0.9248 0.980 0.020 0.000
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 1 0.5431 0.6148 0.716 0.284 0.000
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 2 0.2165 0.8719 0.000 0.936 0.064
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.0000 0.9378 1.000 0.000 0.000
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 1 0.0000 0.9378 1.000 0.000 0.000
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.0000 0.9378 1.000 0.000 0.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 3 0.0000 0.8535 0.000 0.000 1.000
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 2 0.0237 0.9070 0.004 0.996 0.000
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 1 0.5591 0.5887 0.696 0.304 0.000
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.0000 0.9378 1.000 0.000 0.000
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.0000 0.9378 1.000 0.000 0.000
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 2 0.4750 0.6694 0.216 0.784 0.000
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 2 0.4702 0.7286 0.000 0.788 0.212
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 1 0.0592 0.9305 0.988 0.012 0.000
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 1 0.3551 0.8110 0.868 0.000 0.132
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 2 0.4555 0.6907 0.200 0.800 0.000
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 1 0.0000 0.9378 1.000 0.000 0.000
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.0000 0.9378 1.000 0.000 0.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 1 0.0000 0.9378 1.000 0.000 0.000
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.0237 0.9070 0.004 0.996 0.000
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 3 0.0000 0.8535 0.000 0.000 1.000
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 1 0.5254 0.6479 0.736 0.264 0.000
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.0000 0.9086 0.000 1.000 0.000
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.0000 0.9378 1.000 0.000 0.000
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 2 0.0237 0.9077 0.000 0.996 0.004
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 2 0.5363 0.5754 0.276 0.724 0.000
#> BE56F908-42DD-4019-A8AC-48884DA788B1 2 0.6899 0.4066 0.364 0.612 0.024
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 2 0.0237 0.9078 0.000 0.996 0.004
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 1 0.0747 0.9277 0.984 0.016 0.000
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 3 0.6154 0.3417 0.408 0.000 0.592
#> 791D9EB8-42E0-4192-B064-B1126CA14481 2 0.4555 0.6827 0.200 0.800 0.000
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 2 0.1031 0.8995 0.000 0.976 0.024
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 2 0.0592 0.9048 0.000 0.988 0.012
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.0000 0.9378 1.000 0.000 0.000
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.0000 0.9378 1.000 0.000 0.000
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 3 0.0000 0.8535 0.000 0.000 1.000
#> D47C7B74-BB01-4614-B683-652F7130729C 2 0.5497 0.6055 0.000 0.708 0.292
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 1 0.2537 0.8705 0.920 0.080 0.000
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 2 0.2066 0.8614 0.060 0.940 0.000
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.0000 0.9378 1.000 0.000 0.000
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.0237 0.9077 0.000 0.996 0.004
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.0000 0.9378 1.000 0.000 0.000
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 1 0.0592 0.9306 0.988 0.012 0.000
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 2 0.0000 0.9086 0.000 1.000 0.000
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 2 0.5254 0.6514 0.000 0.736 0.264
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 3 0.5291 0.6215 0.268 0.000 0.732
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 1 0.4452 0.7494 0.808 0.192 0.000
#> 58F11B66-AE40-417E-B465-811C6CF7311C 1 0.0747 0.9284 0.984 0.016 0.000
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.0000 0.9378 1.000 0.000 0.000
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 2 0.4978 0.7171 0.004 0.780 0.216
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 2 0.0000 0.9086 0.000 1.000 0.000
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 2 0.0000 0.9086 0.000 1.000 0.000
#> 739952C6-FF36-4E34-B881-E02FE17C4012 1 0.0000 0.9378 1.000 0.000 0.000
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 1 0.0000 0.9378 1.000 0.000 0.000
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 2 0.0000 0.9086 0.000 1.000 0.000
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 1 0.0237 0.9356 0.996 0.004 0.000
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 1 0.0000 0.9378 1.000 0.000 0.000
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 1 0.0000 0.9378 1.000 0.000 0.000
#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 1 0.0000 0.9378 1.000 0.000 0.000
#> F6B26185-139B-47A7-91EC-E885D94AC882 1 0.0000 0.9378 1.000 0.000 0.000
#> 81F30B6F-3E9A-4913-986B-C56D5F107A17 2 0.6062 0.5537 0.276 0.708 0.016
#> 2CCB3AE1-0D27-4493-B7AE-67C60BBC1C38 2 0.5291 0.6438 0.000 0.732 0.268
#> 329665BC-B959-47C5-B831-5546F94EDAC1 1 0.6309 0.0708 0.504 0.496 0.000
#> 8D4335F6-6ACB-4E38-B9F2-A2B5B647AE90 1 0.0000 0.9378 1.000 0.000 0.000
#> D181D0D8-FD8C-4259-9B34-97224CF27E1B 2 0.0000 0.9086 0.000 1.000 0.000
#> C0C10950-ABC5-4125-A33E-5AFA2D2574B0 2 0.0000 0.9086 0.000 1.000 0.000
#> 834D12DB-0925-422C-B15B-20A60A5F658C 2 0.0000 0.9086 0.000 1.000 0.000
#> 50314689-519F-4B27-884C-7816DD64CF4E 1 0.0000 0.9378 1.000 0.000 0.000
#> 2502A23E-E168-4A78-9C14-B93FBC9715B1 1 0.2261 0.8814 0.932 0.000 0.068
#> 3F8D01A3-5449-48A1-BDBA-BFE4D908AE31 2 0.5470 0.7458 0.036 0.796 0.168
#> 1C47A87B-C033-4705-B903-DB33B8C6EC34 1 0.1163 0.9187 0.972 0.028 0.000
#> 1329E1C1-743E-4541-9081-165572D4BF47 2 0.0237 0.9070 0.004 0.996 0.000
#> 1F3F8680-EEB6-4532-B81D-51957D1EA502 1 0.0892 0.9253 0.980 0.020 0.000
#> 50F69785-8B7A-4933-85B1-8DC539ACC72A 1 0.0000 0.9378 1.000 0.000 0.000
#> 9095FDD8-EEB2-4B17-85AB-3CDAC0BEC759 1 0.5431 0.5699 0.716 0.000 0.284
#> B6BF8C22-03E4-44F0-B2EF-2A3DD6ADE7D7 1 0.0424 0.9331 0.992 0.008 0.000
#> D6A907FC-3A1B-4E3B-A440-1CE9BE9B334B 2 0.0892 0.9010 0.000 0.980 0.020
#> 02588D5D-89CB-4D0B-9E96-A0270C3FF866 2 0.0000 0.9086 0.000 1.000 0.000
#> D50BBFC7-7774-4B12-938C-8D5373C12DFC 2 0.0592 0.9048 0.000 0.988 0.012
#> 6E930060-502B-49F5-A385-9B91DEBD05E4 1 0.0000 0.9378 1.000 0.000 0.000
#> F6606A8E-ACC6-4826-9547-E0017521724D 1 0.0592 0.9301 0.988 0.012 0.000
#> 981584D3-10DB-455C-8132-E8E5F44E1222 2 0.0237 0.9070 0.004 0.996 0.000
#> 47F6E197-7164-4289-95B5-8FD305A13B4C 1 0.0237 0.9356 0.996 0.004 0.000
#> 4522D871-9379-4643-B15E-9ACB556276C4 3 0.6204 0.2988 0.424 0.000 0.576
#> 7560B2B5-6AF5-4600-9F0A-BE25CF99B6B9 1 0.0000 0.9378 1.000 0.000 0.000
#> 38F5957E-0A99-432D-8F0B-B48E03F17668 1 0.0000 0.9378 1.000 0.000 0.000
#> 7A6BBBE6-2B3B-44EB-A101-C823739AB24F 2 0.0000 0.9086 0.000 1.000 0.000
#> 0782D25A-3B14-499E-A40C-3852B3A15B8B 2 0.0237 0.9077 0.000 0.996 0.004
#> 31D4B639-D1E5-479B-AEC2-34F758F2E470 1 0.0000 0.9378 1.000 0.000 0.000
#> C49078E1-E730-4E81-8EAE-5AAAB9FA1BF5 3 0.0592 0.8491 0.000 0.012 0.988
#> 48BCD3B8-917F-4E8F-BCEA-1363570A6486 1 0.6079 0.4184 0.612 0.388 0.000
#> F3BA6259-9F68-47D0-ABDD-1272AE112CAB 2 0.0000 0.9086 0.000 1.000 0.000
#> 3CA49BB1-30F6-47F3-A751-D5601E16BDBA 2 0.1529 0.8792 0.040 0.960 0.000
#> 47747595-686A-46B5-9EF4-A4CFB85D746D 3 0.1643 0.8341 0.044 0.000 0.956
#> 87974EFF-C2DE-4930-93E3-015E6D996440 3 0.1753 0.8301 0.000 0.048 0.952
#> 7D272E6C-826D-4D02-8383-6A3D5BBF3A5F 3 0.0000 0.8535 0.000 0.000 1.000
#> 070E540B-34DB-4016-B573-84924407F57F 1 0.0000 0.9378 1.000 0.000 0.000
#> 63F4281A-4D90-4589-879E-549097FB3459 1 0.0000 0.9378 1.000 0.000 0.000
#> 93A66EA0-0C74-4342-8140-72ECB01F99A1 1 0.0000 0.9378 1.000 0.000 0.000
#> C92AD683-FD09-4DD2-A5A5-C72EA5DD9B46 1 0.4654 0.7229 0.792 0.208 0.000
#> 38D2BE9E-15D4-47BC-8FEB-55310F23825B 2 0.0000 0.9086 0.000 1.000 0.000
#> B3029936-1EEF-4378-AA28-D5B2A32CDC86 1 0.0000 0.9378 1.000 0.000 0.000
#> 9A33172F-AEEA-4B7D-9605-0C60D7872CEA 1 0.0000 0.9378 1.000 0.000 0.000
#> F2BC32E5-4117-468E-B637-9EDB6E9CC6C7 3 0.6286 0.2135 0.464 0.000 0.536
#> EC319D0D-96C5-49DB-A2C4-BB6BFED6844F 1 0.0000 0.9378 1.000 0.000 0.000
#> 8CB71499-1B35-417D-95E1-D85CE71A2D8A 1 0.0000 0.9378 1.000 0.000 0.000
#> C5986AA8-D1C7-47BB-946F-1AE00503A444 2 0.0000 0.9086 0.000 1.000 0.000
#> CDB44ECD-3F01-4865-B4CC-5190E0FB64DC 1 0.1529 0.9067 0.960 0.040 0.000
#> 57633DCE-DC21-42AE-82EB-81F532CE9840 2 0.4555 0.7388 0.000 0.800 0.200
#> 715C1406-D224-466D-968E-46889824CD3D 1 0.5291 0.6537 0.732 0.268 0.000
#> 86A9A426-4B69-4572-9AFF-103C2724E5EA 1 0.0424 0.9331 0.992 0.008 0.000
#> A73A2348-FC50-42A5-ADF0-6647E5ECF0EA 1 0.0000 0.9378 1.000 0.000 0.000
#> 4BF75CF9-DA61-4A0B-940C-B09C7FE864F0 1 0.0000 0.9378 1.000 0.000 0.000
#> E3D18696-51D7-4BE3-A32B-3196E5F80438 1 0.0000 0.9378 1.000 0.000 0.000
#> C4C7C112-555F-46D5-8D5D-411C7737A4C9 3 0.1529 0.8359 0.040 0.000 0.960
#> 0A3E0A3D-D396-4340-8D98-4B79DBFC312C 2 0.0000 0.9086 0.000 1.000 0.000
#> 5513114D-2503-4D11-ADA4-35BE010510E5 3 0.6215 0.2896 0.428 0.000 0.572
#> EDDCFDBA-B3E7-4E3F-97CB-D017C9DC9EF7 1 0.0000 0.9378 1.000 0.000 0.000
#> 7046C2F2-A8DE-4AE1-B27D-094CF2EF3B3D 2 0.0000 0.9086 0.000 1.000 0.000
#> 6869ABAF-343B-4C9B-8975-B26A2C895123 1 0.4796 0.7053 0.780 0.220 0.000
#> EC0B4E94-0FD0-4DBE-8E1A-14DBB0E63772 3 0.2066 0.8203 0.000 0.060 0.940
#> 245967F0-EE1A-4B0C-BEE2-0283393DA722 1 0.5706 0.5001 0.680 0.000 0.320
#> 9E5162FF-4316-42B2-882F-9CDBE2193686 2 0.0000 0.9086 0.000 1.000 0.000
#> 64FCCF76-C73F-401D-974A-BBB4F1CBC8A0 2 0.4555 0.7360 0.000 0.800 0.200
#> 20152BF5-FA56-4B98-8F20-FFEE20F8B1CB 1 0.0000 0.9378 1.000 0.000 0.000
#> 1576BB97-F8EA-48FF-9494-EBC7A0C97312 2 0.0000 0.9086 0.000 1.000 0.000
#> 4405F995-AE79-46F9-BFEE-81CAECF42BAE 1 0.6796 0.4397 0.632 0.344 0.024
#> 681D8638-84E1-43B9-93A9-3189560D8611 1 0.0000 0.9378 1.000 0.000 0.000
#> 49B8F49B-1C21-4145-BCDC-403B3D37CCD5 1 0.0000 0.9378 1.000 0.000 0.000
#> C11294C4-9285-4BC2-B0F6-98054A63CF50 1 0.0000 0.9378 1.000 0.000 0.000
#> 688EFD86-95DA-4442-87F0-DBF9E6B549FD 3 0.0000 0.8535 0.000 0.000 1.000
#> F23B0A1A-25AE-41D9-8C49-B692C4FDE1E4 1 0.0000 0.9378 1.000 0.000 0.000
#> 1809618E-A051-4758-BC59-B04E23FB3A42 2 0.0000 0.9086 0.000 1.000 0.000
#> 9DD73399-620E-472C-8360-5565F91BBD3A 1 0.0000 0.9378 1.000 0.000 0.000
#> E85AE97F-43CF-4250-B2BF-63E6FA8044E8 1 0.8925 0.3923 0.564 0.256 0.180
#> D4E58BFB-9859-4D77-A581-1D713AA54B0B 3 0.6489 0.2287 0.456 0.004 0.540
#> 57CDEE2D-9B87-40D7-8DDA-17B7000F6965 2 0.0000 0.9086 0.000 1.000 0.000
#> 412F9B5E-324D-40CC-A8F3-FA9C1FCC83C0 1 0.0892 0.9248 0.980 0.020 0.000
#> 668765BB-DEC9-4746-B932-C8CE643B6564 2 0.0000 0.9086 0.000 1.000 0.000
#> 80379304-DD5D-49A3-8DE7-376FD06AEE17 2 0.0424 0.9064 0.000 0.992 0.008
#> BB657D53-8FE7-46AA-918E-8BE6EB5B70AD 1 0.0000 0.9378 1.000 0.000 0.000
#> 5ACFF57E-8B40-4A68-98B9-1F80D80B3F00 1 0.0000 0.9378 1.000 0.000 0.000
#> 74DDE13E-88AD-47C3-8824-5AE0C2B969D6 2 0.4654 0.7287 0.000 0.792 0.208
#> 19590D31-2415-4D46-8E50-494FC40BF639 2 0.0000 0.9086 0.000 1.000 0.000
#> 5E55B08E-C597-4DF7-8577-D8B15C404E59 1 0.4002 0.7812 0.840 0.160 0.000
#> 9061C1A3-8141-4780-B3F0-4D499B0556F3 1 0.3879 0.7904 0.848 0.152 0.000
#> FBE93EC7-CA18-41CE-8B85-50B4EC204278 1 0.0237 0.9354 0.996 0.004 0.000
#> E070D6ED-3B18-4D12-ABB4-2B62FF6033FC 1 0.0000 0.9378 1.000 0.000 0.000
#> 562291E5-AB47-4455-9C92-7904DAB14AB4 3 0.8576 0.5260 0.160 0.240 0.600
#> AE8BD116-5550-4A0F-BEBE-F092675A1F45 1 0.0000 0.9378 1.000 0.000 0.000
#> 94B73102-D49E-4CE8-9B49-7C109B3EC27C 3 0.0000 0.8535 0.000 0.000 1.000
#> AAC76EDF-5E5A-4D7E-8450-2B699A70EAA3 1 0.4002 0.7726 0.840 0.160 0.000
#> 0A1391EA-5B15-4D28-B6AE-2732FCA49897 1 0.0747 0.9271 0.984 0.016 0.000
#> F781C72C-3357-4038-AD89-5651FE3A1E20 1 0.0000 0.9378 1.000 0.000 0.000
#> 1E221CC6-319B-4B53-8836-80FDFC99FD72 1 0.0000 0.9378 1.000 0.000 0.000
#> 98E88BAB-4CE8-4A32-BBAC-7C6E711C4708 1 0.0000 0.9378 1.000 0.000 0.000
#> EE4AB031-AC4D-46A4-9334-CDDAA1C5C806 3 0.5016 0.6385 0.000 0.240 0.760
#> 8E56D859-7862-4CD3-A86C-8780C6387420 3 0.0592 0.8489 0.000 0.012 0.988
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#> DC7CE58E-0EA8-4DDD-8AC4-DC5D5E8E7E3B 3 0.5859 0.4441 0.000 0.344 0.656
#> 67A7E9D8-C2A0-4B52-95BD-BDB781E7A9D5 2 0.1860 0.8842 0.000 0.948 0.052
#> 21FB1823-0E28-4F50-8546-D0F0847B1733 2 0.0592 0.9048 0.000 0.988 0.012
#> 93618EAD-7723-4616-BBB2-2D65E45EE3D2 1 0.0000 0.9378 1.000 0.000 0.000
#> 4864A82F-B571-4665-82FA-9BBEF2141C99 3 0.0000 0.8535 0.000 0.000 1.000
#> A34C537D-632D-4992-958D-5B85D190382C 1 0.0000 0.9378 1.000 0.000 0.000
#> 1ACE6BB9-A332-42DD-BA4F-E9902DB413AA 2 0.0000 0.9086 0.000 1.000 0.000
#> E3C1D3D8-1C78-4C16-B0E5-56B5CCE3C6B4 1 0.0000 0.9378 1.000 0.000 0.000
#> 1B0FE71F-DD59-45F7-BA73-E8BEEB7349A8 1 0.0000 0.9378 1.000 0.000 0.000
#> 8756589A-8352-4CDA-9297-D4C146D1DF47 1 0.0000 0.9378 1.000 0.000 0.000
#> E013D176-4FCB-4DF5-93F0-72803590B677 3 0.0000 0.8535 0.000 0.000 1.000
#> D0CCA6E0-8557-491C-AB82-289DF53E57FA 1 0.0000 0.9378 1.000 0.000 0.000
#> 933DB910-2728-4DC4-840E-B0CD1F13A421 3 0.4291 0.7116 0.000 0.180 0.820
#> 93910528-D681-4C69-86FD-326293B2F1C1 3 0.7106 0.6567 0.224 0.076 0.700
#> 3C9FDA2A-01C8-4F17-BBF1-5CAEAE3764D4 1 0.0000 0.9378 1.000 0.000 0.000
#> 8879C57E-8876-462F-810E-EE07C2F541AD 2 0.4555 0.7375 0.000 0.800 0.200
#> 130C8FBD-8D78-4212-8DD6-301EDFA339A9 1 0.4178 0.7516 0.828 0.172 0.000
#> 6C1FF3E9-0A8B-4B02-B0E9-EEF333E53592 2 0.0000 0.9086 0.000 1.000 0.000
#> 726497B7-C557-4D5C-A926-6DDA6136C899 2 0.0000 0.9086 0.000 1.000 0.000
#> 2299CD19-BF08-404C-B1BF-B570F12CCEF8 2 0.0237 0.9077 0.000 0.996 0.004
#> E8BCBDC5-E34E-422F-86C2-A4B30400EC86 3 0.0000 0.8535 0.000 0.000 1.000
#> B9EF0525-8B4A-4306-B06B-35AC457F5F48 2 0.0000 0.9086 0.000 1.000 0.000
#> F663E106-4E34-46C8-9CD9-AE5E9B8B27F0 2 0.0000 0.9086 0.000 1.000 0.000
#> 94E26CD5-238B-4D8C-B8E8-A62C44EB2B41 2 0.3879 0.7587 0.152 0.848 0.000
#> 135743C3-829E-46DC-BBA9-FF07C8067612 1 0.0000 0.9378 1.000 0.000 0.000
#> CBD7775A-2802-4EB7-9F62-6B80D7667AED 1 0.0000 0.9378 1.000 0.000 0.000
#> BD6DAD3D-2D5F-4560-9A4C-70D8A1D49732 1 0.0000 0.9378 1.000 0.000 0.000
#> ED86F92E-6B39-4C0C-9A60-870984F53C4D 1 0.0000 0.9378 1.000 0.000 0.000
#> CD3B289F-FAE1-405F-875F-23C1D2609DFC 1 0.1529 0.9095 0.960 0.040 0.000
#> D1C0E70B-B2BB-4FE7-8DEC-B50659739BAA 2 0.0000 0.9086 0.000 1.000 0.000
#> D2417A9C-CBF0-47F6-B20C-FB32AF632A84 1 0.5529 0.6013 0.704 0.296 0.000
#> EF5618C6-6AFB-4FB5-A32B-7946F18E9736 1 0.0000 0.9378 1.000 0.000 0.000
#> 36040CAB-FF77-4540-BB44-7961A6A54B29 2 0.0592 0.9048 0.000 0.988 0.012
#> 3808C3A9-22DA-4DC5-9F51-884A7EF574E6 1 0.0000 0.9378 1.000 0.000 0.000
#> 24363857-9A33-40D4-8409-C17225570833 2 0.4887 0.6553 0.228 0.772 0.000
#> A57E6132-9B76-493A-A167-8462263B7CDB 1 0.4750 0.7138 0.784 0.216 0.000
#> 4C020890-E652-4DE4-B66D-5F6F71405F64 1 0.5497 0.5775 0.708 0.292 0.000
#> 90C991CD-412E-4318-96E3-EB84B868FE9F 2 0.0000 0.9086 0.000 1.000 0.000
#> FA8E73EA-649C-43ED-854E-B9472820D1C6 2 0.0000 0.9086 0.000 1.000 0.000
#> 4D46B5DE-186A-4D35-8E1B-64701C13BC69 3 0.1860 0.8278 0.000 0.052 0.948
#> D516A82D-2F77-46B2-90F7-30BA5C78AAC8 2 0.0000 0.9086 0.000 1.000 0.000
#> 1FBD0805-13AE-4A82-8B94-640E1C921262 3 0.0000 0.8535 0.000 0.000 1.000
#> 264525A9-F7DB-4012-A93B-CF8A7626F125 3 0.5733 0.4933 0.000 0.324 0.676
#> AFF029D8-FFC9-4AA9-8049-F1E27C743F6F 2 0.5948 0.4687 0.000 0.640 0.360
#> 5B65768D-0E81-4469-9D69-69B07ED5ACD5 2 0.5938 0.5971 0.248 0.732 0.020
#> 2CB06CA6-8D1F-4BC7-99BE-66921805B8FD 2 0.4452 0.6940 0.192 0.808 0.000
#> 956357FB-9AB3-497C-BB55-9D15B486A422 1 0.0000 0.9378 1.000 0.000 0.000
#> C8F2BAD0-7124-46BF-975C-4B44BE980F93 1 0.0000 0.9378 1.000 0.000 0.000
#> E96AE267-3E23-4EA9-93E2-D92558155A17 3 0.0000 0.8535 0.000 0.000 1.000
#> 1C8DCA5B-965B-485A-83B6-5CBEB2117E47 2 0.0000 0.9086 0.000 1.000 0.000
#> DEAB79F5-336A-49B4-8046-AEE2F567FE46 1 0.0000 0.9378 1.000 0.000 0.000
#> 767FE89E-E19F-4F56-A744-CB3C5CCC085B 2 0.5292 0.6449 0.228 0.764 0.008
#> 7B0BF632-79E5-46B5-AAC8-4A6D5A193449 3 0.0000 0.8535 0.000 0.000 1.000
#> 9A281EDE-FF96-4E66-AEF4-692BDFA8E99D 2 0.0000 0.9086 0.000 1.000 0.000
#> B8C2D019-00C9-4E1E-8383-4FE2FFB4D2D7 3 0.0000 0.8535 0.000 0.000 1.000
#> 39A9B95F-186B-4550-9271-001151B1A626 2 0.0424 0.9064 0.000 0.992 0.008
#> CAD6E491-88FB-4221-90E9-AC9C68AECCB0 1 0.0424 0.9329 0.992 0.008 0.000
#> 15EFBC5B-C713-4718-BB6F-0EBBE4D6997F 2 0.0000 0.9086 0.000 1.000 0.000
#> BBA00038-09B1-461D-9F8E-484890B0D130 1 0.6217 0.5831 0.712 0.264 0.024
#> 16EBB885-A692-42A6-9027-F6AD769E0ABB 1 0.0000 0.9378 1.000 0.000 0.000
#> 2D57E24B-97A6-4B85-BC8F-3E02DDC6C460 2 0.0592 0.9052 0.000 0.988 0.012
#> C6E39F86-9DEF-4BCA-930B-2A3993D18901 2 0.0000 0.9086 0.000 1.000 0.000
#> 5BE4D8E9-DA18-426F-8AE6-075B15010390 1 0.0000 0.9378 1.000 0.000 0.000
#> 8E9CAAC7-31D3-473C-821C-2DAD37B44D3A 2 0.0000 0.9086 0.000 1.000 0.000
#> 368CFCA3-7BAB-4D6D-9AE1-55713A9965C1 3 0.4605 0.7053 0.204 0.000 0.796
#> 14DB79EF-DE2B-4197-AD32-F657E0655FCD 2 0.0000 0.9086 0.000 1.000 0.000
#> E73BCFCB-C5FE-4BF2-A236-B9E69711C121 1 0.0000 0.9378 1.000 0.000 0.000
#> CDAFAFEA-365B-4F25-AEC0-639B6E0CB626 2 0.2711 0.8366 0.088 0.912 0.000
#> 48A2AAEB-7F60-4284-808E-2058A531B17C 2 0.0000 0.9086 0.000 1.000 0.000
#> D4276C6F-9F0F-4F74-A85E-1E54272ADDED 2 0.0592 0.9048 0.000 0.988 0.012
#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 2 0.0000 0.9086 0.000 1.000 0.000
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 2 0.0000 0.9086 0.000 1.000 0.000
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 3 0.0000 0.8535 0.000 0.000 1.000
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 1 0.0000 0.9378 1.000 0.000 0.000
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 3 0.4654 0.7004 0.208 0.000 0.792
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 1 0.0747 0.9277 0.984 0.016 0.000
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 1 0.0000 0.9378 1.000 0.000 0.000
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 1 0.1411 0.9133 0.964 0.036 0.000
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 1 0.4555 0.7301 0.800 0.200 0.000
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 2 0.0000 0.9086 0.000 1.000 0.000
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 2 0.0000 0.9086 0.000 1.000 0.000
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 1 0.0000 0.9378 1.000 0.000 0.000
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 2 0.0000 0.9086 0.000 1.000 0.000
#> C7997523-47CF-40F0-8803-AB873E38033C 2 0.4062 0.7331 0.164 0.836 0.000
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 2 0.1031 0.8987 0.000 0.976 0.024
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 3 0.4235 0.7206 0.000 0.176 0.824
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 3 0.5098 0.6503 0.248 0.000 0.752
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 1 0.0000 0.9378 1.000 0.000 0.000
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 2 0.0000 0.9086 0.000 1.000 0.000
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 2 0.0000 0.9086 0.000 1.000 0.000
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 3 0.0000 0.8535 0.000 0.000 1.000
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 2 0.0000 0.9086 0.000 1.000 0.000
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 1 0.0000 0.9378 1.000 0.000 0.000
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.0000 0.9378 1.000 0.000 0.000
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 1 0.1753 0.8979 0.952 0.048 0.000
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 1 0.0000 0.9378 1.000 0.000 0.000
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 3 0.0000 0.8535 0.000 0.000 1.000
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 1 0.9918 -0.2099 0.384 0.276 0.340
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 2 0.0424 0.9064 0.000 0.992 0.008
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 2 0.0000 0.9086 0.000 1.000 0.000
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.0000 0.9378 1.000 0.000 0.000
#> E15EAAB4-0860-4716-9922-667F604CDF12 1 0.0000 0.9378 1.000 0.000 0.000
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 2 0.0829 0.9045 0.004 0.984 0.012
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 1 0.0237 0.9354 0.996 0.004 0.000
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 3 0.0000 0.8535 0.000 0.000 1.000
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.0000 0.9378 1.000 0.000 0.000
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 2 0.0237 0.9077 0.000 0.996 0.004
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 2 0.0000 0.9086 0.000 1.000 0.000
#> E2A4C651-977F-4F40-B5EC-46DF75944141 1 0.0000 0.9378 1.000 0.000 0.000
#> 433599CC-9DF5-4494-A607-8079FFE74D95 2 0.4750 0.7201 0.000 0.784 0.216
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 2 0.2625 0.8583 0.000 0.916 0.084
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 3 0.3941 0.7447 0.000 0.156 0.844
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.0000 0.9378 1.000 0.000 0.000
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 1 0.1529 0.9058 0.960 0.040 0.000
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 1 0.0000 0.9378 1.000 0.000 0.000
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.0000 0.8535 0.000 0.000 1.000
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 3 0.4235 0.7212 0.000 0.176 0.824
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 3 0.5785 0.4728 0.000 0.332 0.668
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.0000 0.9086 0.000 1.000 0.000
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 2 0.6295 0.1289 0.472 0.528 0.000
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.0424 0.9064 0.000 0.992 0.008
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.0000 0.9378 1.000 0.000 0.000
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 2 0.6299 0.1278 0.000 0.524 0.476
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.0000 0.9378 1.000 0.000 0.000
#> 057B580C-13FD-4185-943C-9DD5266B8554 3 0.3340 0.7876 0.120 0.000 0.880
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 1 0.4235 0.7549 0.824 0.000 0.176
#> 287F3696-25CF-4E67-A934-E50856AD4790 2 0.4178 0.7705 0.000 0.828 0.172
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.0000 0.9086 0.000 1.000 0.000
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 1 0.4002 0.7796 0.840 0.160 0.000
#> B80A74AB-A264-4396-93F8-FD976DBC1456 2 0.5926 0.4750 0.000 0.644 0.356
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.0237 0.9077 0.000 0.996 0.004
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.0000 0.9378 1.000 0.000 0.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.0000 0.9378 1.000 0.000 0.000
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 2 0.4861 0.6903 0.192 0.800 0.008
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 3 0.6295 0.0682 0.000 0.472 0.528
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.1031 0.8931 0.024 0.976 0.000
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.0000 0.9378 1.000 0.000 0.000
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 1 0.5216 0.6603 0.740 0.260 0.000
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.0000 0.9086 0.000 1.000 0.000
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.0000 0.9378 1.000 0.000 0.000
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.0000 0.9086 0.000 1.000 0.000
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 2 0.4452 0.7497 0.000 0.808 0.192
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 2 0.0592 0.9023 0.012 0.988 0.000
#> DD292494-92A2-43CB-B59B-726B2F429B29 2 0.1289 0.8867 0.032 0.968 0.000
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.0000 0.9378 1.000 0.000 0.000
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 1 0.0000 0.9378 1.000 0.000 0.000
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 2 0.3340 0.8296 0.000 0.880 0.120
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 3 0.9754 0.3242 0.264 0.292 0.444
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 1 0.1163 0.9174 0.972 0.000 0.028
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.0424 0.9328 0.992 0.000 0.008
#> 74CF740D-201D-4070-99B9-F007E7C4D472 1 0.1529 0.9063 0.960 0.000 0.040
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 2 0.0237 0.9070 0.004 0.996 0.000
#> 78F28873-E471-497A-9405-FB8955808599 3 0.2165 0.8198 0.000 0.064 0.936
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.0000 0.9086 0.000 1.000 0.000
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.0000 0.9086 0.000 1.000 0.000
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 2 0.3482 0.7834 0.128 0.872 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.0000 0.89110 0.000 0.000 1.000 0.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.4222 0.71057 0.728 0.000 0.000 0.272
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 1 0.0779 0.73686 0.980 0.016 0.000 0.004
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.0592 0.73789 0.984 0.016 0.000 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.4331 0.70122 0.712 0.000 0.000 0.288
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.4500 0.68084 0.684 0.000 0.000 0.316
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.0921 0.74376 0.028 0.972 0.000 0.000
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.4500 0.42171 0.000 0.684 0.000 0.316
#> 18971368-40F0-42D3-B1A3-707850C53B18 4 0.4967 -0.29555 0.452 0.000 0.000 0.548
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 1 0.4855 0.59869 0.600 0.000 0.000 0.400
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 4 0.6790 0.31282 0.192 0.200 0.000 0.608
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 2 0.1978 0.72243 0.000 0.928 0.004 0.068
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.4661 0.65091 0.652 0.000 0.000 0.348
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 1 0.0707 0.74878 0.980 0.000 0.000 0.020
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#> F4F8D7E7-98B9-4145-9F69-5A1684997C87 3 0.0000 0.89110 0.000 0.000 1.000 0.000
#> 433CED6F-A9DE-444E-9A11-8929A3EFEC9B 1 0.0188 0.74440 0.996 0.000 0.000 0.004
#> C3FDCD45-2013-4BA2-BEAF-5ED6A3393783 1 0.3219 0.74406 0.836 0.000 0.000 0.164
#> 9ECE4E94-28D5-4692-82D4-5B7FA882543C 4 0.2814 0.50569 0.132 0.000 0.000 0.868
#> DC7CE58E-0EA8-4DDD-8AC4-DC5D5E8E7E3B 3 0.5252 0.44451 0.020 0.336 0.644 0.000
#> 67A7E9D8-C2A0-4B52-95BD-BDB781E7A9D5 2 0.7179 0.35283 0.000 0.544 0.276 0.180
#> 21FB1823-0E28-4F50-8546-D0F0847B1733 4 0.7668 0.01462 0.220 0.348 0.000 0.432
#> 93618EAD-7723-4616-BBB2-2D65E45EE3D2 1 0.4072 0.72032 0.748 0.000 0.000 0.252
#> 4864A82F-B571-4665-82FA-9BBEF2141C99 3 0.0336 0.88877 0.000 0.008 0.992 0.000
#> A34C537D-632D-4992-958D-5B85D190382C 1 0.4103 0.71849 0.744 0.000 0.000 0.256
#> 1ACE6BB9-A332-42DD-BA4F-E9902DB413AA 4 0.4955 0.23865 0.000 0.444 0.000 0.556
#> E3C1D3D8-1C78-4C16-B0E5-56B5CCE3C6B4 1 0.0188 0.74440 0.996 0.000 0.000 0.004
#> 1B0FE71F-DD59-45F7-BA73-E8BEEB7349A8 1 0.4898 0.56441 0.584 0.000 0.000 0.416
#> 8756589A-8352-4CDA-9297-D4C146D1DF47 1 0.0592 0.73789 0.984 0.016 0.000 0.000
#> E013D176-4FCB-4DF5-93F0-72803590B677 3 0.0000 0.89110 0.000 0.000 1.000 0.000
#> D0CCA6E0-8557-491C-AB82-289DF53E57FA 4 0.5408 -0.39885 0.488 0.000 0.012 0.500
#> 933DB910-2728-4DC4-840E-B0CD1F13A421 2 0.5222 0.56633 0.280 0.688 0.032 0.000
#> 93910528-D681-4C69-86FD-326293B2F1C1 3 0.5538 0.46371 0.000 0.036 0.644 0.320
#> 3C9FDA2A-01C8-4F17-BBF1-5CAEAE3764D4 1 0.0469 0.74680 0.988 0.000 0.000 0.012
#> 8879C57E-8876-462F-810E-EE07C2F541AD 2 0.2021 0.73959 0.000 0.936 0.040 0.024
#> 130C8FBD-8D78-4212-8DD6-301EDFA339A9 1 0.1398 0.72253 0.956 0.040 0.000 0.004
#> 6C1FF3E9-0A8B-4B02-B0E9-EEF333E53592 4 0.4790 0.36451 0.000 0.380 0.000 0.620
#> 726497B7-C557-4D5C-A926-6DDA6136C899 2 0.3123 0.65144 0.000 0.844 0.000 0.156
#> 2299CD19-BF08-404C-B1BF-B570F12CCEF8 2 0.4277 0.58005 0.280 0.720 0.000 0.000
#> E8BCBDC5-E34E-422F-86C2-A4B30400EC86 3 0.0000 0.89110 0.000 0.000 1.000 0.000
#> B9EF0525-8B4A-4306-B06B-35AC457F5F48 2 0.6471 0.12572 0.072 0.512 0.000 0.416
#> F663E106-4E34-46C8-9CD9-AE5E9B8B27F0 4 0.4382 0.47382 0.000 0.296 0.000 0.704
#> 94E26CD5-238B-4D8C-B8E8-A62C44EB2B41 2 0.5823 0.48650 0.176 0.704 0.000 0.120
#> 135743C3-829E-46DC-BBA9-FF07C8067612 1 0.0000 0.74498 1.000 0.000 0.000 0.000
#> CBD7775A-2802-4EB7-9F62-6B80D7667AED 1 0.0376 0.74276 0.992 0.004 0.000 0.004
#> BD6DAD3D-2D5F-4560-9A4C-70D8A1D49732 1 0.3649 0.73586 0.796 0.000 0.000 0.204
#> ED86F92E-6B39-4C0C-9A60-870984F53C4D 1 0.4193 0.71273 0.732 0.000 0.000 0.268
#> CD3B289F-FAE1-405F-875F-23C1D2609DFC 1 0.1211 0.72369 0.960 0.040 0.000 0.000
#> D1C0E70B-B2BB-4FE7-8DEC-B50659739BAA 2 0.3311 0.63580 0.000 0.828 0.000 0.172
#> D2417A9C-CBF0-47F6-B20C-FB32AF632A84 4 0.0707 0.60903 0.000 0.020 0.000 0.980
#> EF5618C6-6AFB-4FB5-A32B-7946F18E9736 1 0.0376 0.74276 0.992 0.004 0.000 0.004
#> 36040CAB-FF77-4540-BB44-7961A6A54B29 2 0.2281 0.71841 0.096 0.904 0.000 0.000
#> 3808C3A9-22DA-4DC5-9F51-884A7EF574E6 1 0.5508 0.69729 0.692 0.000 0.056 0.252
#> 24363857-9A33-40D4-8409-C17225570833 2 0.3355 0.63006 0.160 0.836 0.000 0.004
#> A57E6132-9B76-493A-A167-8462263B7CDB 4 0.0657 0.60610 0.012 0.004 0.000 0.984
#> 4C020890-E652-4DE4-B66D-5F6F71405F64 1 0.2773 0.65544 0.880 0.116 0.000 0.004
#> 90C991CD-412E-4318-96E3-EB84B868FE9F 2 0.0592 0.74274 0.000 0.984 0.000 0.016
#> FA8E73EA-649C-43ED-854E-B9472820D1C6 2 0.6192 0.07546 0.052 0.512 0.000 0.436
#> 4D46B5DE-186A-4D35-8E1B-64701C13BC69 2 0.4907 0.27234 0.000 0.580 0.420 0.000
#> D516A82D-2F77-46B2-90F7-30BA5C78AAC8 2 0.3764 0.59395 0.000 0.784 0.000 0.216
#> 1FBD0805-13AE-4A82-8B94-640E1C921262 3 0.0000 0.89110 0.000 0.000 1.000 0.000
#> 264525A9-F7DB-4012-A93B-CF8A7626F125 2 0.4331 0.55066 0.000 0.712 0.288 0.000
#> AFF029D8-FFC9-4AA9-8049-F1E27C743F6F 2 0.7079 0.45538 0.276 0.556 0.168 0.000
#> 5B65768D-0E81-4469-9D69-69B07ED5ACD5 2 0.5137 0.16293 0.000 0.544 0.004 0.452
#> 2CB06CA6-8D1F-4BC7-99BE-66921805B8FD 4 0.3074 0.58189 0.000 0.152 0.000 0.848
#> 956357FB-9AB3-497C-BB55-9D15B486A422 4 0.4843 -0.16499 0.396 0.000 0.000 0.604
#> C8F2BAD0-7124-46BF-975C-4B44BE980F93 1 0.5000 0.40496 0.500 0.000 0.000 0.500
#> E96AE267-3E23-4EA9-93E2-D92558155A17 3 0.0000 0.89110 0.000 0.000 1.000 0.000
#> 1C8DCA5B-965B-485A-83B6-5CBEB2117E47 2 0.7516 0.36119 0.264 0.496 0.000 0.240
#> DEAB79F5-336A-49B4-8046-AEE2F567FE46 1 0.4406 0.69338 0.700 0.000 0.000 0.300
#> 767FE89E-E19F-4F56-A744-CB3C5CCC085B 1 0.4155 0.49914 0.756 0.240 0.000 0.004
#> 7B0BF632-79E5-46B5-AAC8-4A6D5A193449 3 0.1022 0.87904 0.000 0.032 0.968 0.000
#> 9A281EDE-FF96-4E66-AEF4-692BDFA8E99D 4 0.4164 0.50703 0.000 0.264 0.000 0.736
#> B8C2D019-00C9-4E1E-8383-4FE2FFB4D2D7 3 0.0000 0.89110 0.000 0.000 1.000 0.000
#> 39A9B95F-186B-4550-9271-001151B1A626 2 0.4542 0.55089 0.020 0.752 0.000 0.228
#> CAD6E491-88FB-4221-90E9-AC9C68AECCB0 1 0.1004 0.73254 0.972 0.024 0.000 0.004
#> 15EFBC5B-C713-4718-BB6F-0EBBE4D6997F 4 0.7571 0.15992 0.244 0.272 0.000 0.484
#> BBA00038-09B1-461D-9F8E-484890B0D130 1 0.1867 0.69831 0.928 0.072 0.000 0.000
#> 16EBB885-A692-42A6-9027-F6AD769E0ABB 1 0.1302 0.75150 0.956 0.000 0.000 0.044
#> 2D57E24B-97A6-4B85-BC8F-3E02DDC6C460 2 0.0336 0.74411 0.000 0.992 0.000 0.008
#> C6E39F86-9DEF-4BCA-930B-2A3993D18901 4 0.4382 0.47289 0.000 0.296 0.000 0.704
#> 5BE4D8E9-DA18-426F-8AE6-075B15010390 1 0.4454 0.69108 0.692 0.000 0.000 0.308
#> 8E9CAAC7-31D3-473C-821C-2DAD37B44D3A 2 0.0336 0.74461 0.000 0.992 0.000 0.008
#> 368CFCA3-7BAB-4D6D-9AE1-55713A9965C1 3 0.0000 0.89110 0.000 0.000 1.000 0.000
#> 14DB79EF-DE2B-4197-AD32-F657E0655FCD 2 0.4985 0.04991 0.000 0.532 0.000 0.468
#> E73BCFCB-C5FE-4BF2-A236-B9E69711C121 1 0.1174 0.73330 0.968 0.012 0.000 0.020
#> CDAFAFEA-365B-4F25-AEC0-639B6E0CB626 2 0.5088 0.40234 0.424 0.572 0.000 0.004
#> 48A2AAEB-7F60-4284-808E-2058A531B17C 2 0.4304 0.49329 0.000 0.716 0.000 0.284
#> D4276C6F-9F0F-4F74-A85E-1E54272ADDED 2 0.1940 0.72816 0.076 0.924 0.000 0.000
#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 2 0.4546 0.50296 0.012 0.732 0.000 0.256
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 2 0.4744 0.57308 0.284 0.704 0.000 0.012
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 3 0.0000 0.89110 0.000 0.000 1.000 0.000
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 1 0.4830 0.59898 0.608 0.000 0.000 0.392
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 3 0.0000 0.89110 0.000 0.000 1.000 0.000
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 4 0.3933 0.40193 0.200 0.008 0.000 0.792
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 1 0.4222 0.71336 0.728 0.000 0.000 0.272
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 1 0.1610 0.72855 0.952 0.016 0.000 0.032
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 4 0.0657 0.60610 0.012 0.004 0.000 0.984
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 2 0.2408 0.71401 0.104 0.896 0.000 0.000
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 2 0.4193 0.51289 0.000 0.732 0.000 0.268
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 1 0.0188 0.74440 0.996 0.000 0.000 0.004
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 4 0.4776 0.36865 0.000 0.376 0.000 0.624
#> C7997523-47CF-40F0-8803-AB873E38033C 4 0.3356 0.56836 0.000 0.176 0.000 0.824
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 2 0.4134 0.59769 0.260 0.740 0.000 0.000
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 2 0.4643 0.45960 0.000 0.656 0.344 0.000
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 3 0.1302 0.85870 0.044 0.000 0.956 0.000
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 1 0.4454 0.68789 0.692 0.000 0.000 0.308
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 2 0.2589 0.68732 0.000 0.884 0.000 0.116
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 2 0.4610 0.54190 0.020 0.744 0.000 0.236
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 3 0.0000 0.89110 0.000 0.000 1.000 0.000
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 4 0.4543 0.43588 0.000 0.324 0.000 0.676
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 1 0.4072 0.72020 0.748 0.000 0.000 0.252
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.4103 0.71836 0.744 0.000 0.000 0.256
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 1 0.1022 0.72876 0.968 0.032 0.000 0.000
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 1 0.4746 0.62856 0.632 0.000 0.000 0.368
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 3 0.3907 0.67315 0.000 0.232 0.768 0.000
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 1 0.3751 0.55702 0.800 0.196 0.000 0.004
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 2 0.1151 0.74452 0.024 0.968 0.000 0.008
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 2 0.6181 0.57051 0.204 0.668 0.000 0.128
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.4996 0.44124 0.516 0.000 0.000 0.484
#> E15EAAB4-0860-4716-9922-667F604CDF12 1 0.0188 0.74440 0.996 0.000 0.000 0.004
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 4 0.4428 0.49584 0.000 0.276 0.004 0.720
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 1 0.0779 0.73686 0.980 0.016 0.000 0.004
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 3 0.0000 0.89110 0.000 0.000 1.000 0.000
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.0707 0.74951 0.980 0.000 0.000 0.020
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 2 0.0707 0.74191 0.000 0.980 0.000 0.020
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 2 0.1022 0.73935 0.000 0.968 0.000 0.032
#> E2A4C651-977F-4F40-B5EC-46DF75944141 4 0.4985 -0.33784 0.468 0.000 0.000 0.532
#> 433599CC-9DF5-4494-A607-8079FFE74D95 2 0.4584 0.56021 0.300 0.696 0.004 0.000
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 2 0.6023 0.30759 0.000 0.612 0.060 0.328
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 2 0.4605 0.46503 0.000 0.664 0.336 0.000
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.0000 0.74498 1.000 0.000 0.000 0.000
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 1 0.1398 0.72271 0.956 0.040 0.000 0.004
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 1 0.4989 0.46792 0.528 0.000 0.000 0.472
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.0000 0.89110 0.000 0.000 1.000 0.000
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 2 0.4776 0.38677 0.000 0.624 0.376 0.000
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 2 0.3356 0.68070 0.000 0.824 0.176 0.000
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.4605 0.39206 0.000 0.664 0.000 0.336
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 1 0.5465 0.29440 0.588 0.392 0.000 0.020
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.2329 0.72049 0.012 0.916 0.000 0.072
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.4661 0.65091 0.652 0.000 0.000 0.348
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 2 0.4155 0.61678 0.000 0.756 0.240 0.004
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.0592 0.74883 0.984 0.000 0.000 0.016
#> 057B580C-13FD-4185-943C-9DD5266B8554 3 0.1211 0.86828 0.040 0.000 0.960 0.000
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 1 0.7798 -0.15664 0.432 0.004 0.212 0.352
#> 287F3696-25CF-4E67-A934-E50856AD4790 2 0.1661 0.73107 0.000 0.944 0.004 0.052
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 4 0.5000 0.06775 0.000 0.500 0.000 0.500
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 4 0.0592 0.60396 0.016 0.000 0.000 0.984
#> B80A74AB-A264-4396-93F8-FD976DBC1456 2 0.1637 0.73751 0.000 0.940 0.060 0.000
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.4134 0.59769 0.260 0.740 0.000 0.000
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.2921 0.74753 0.860 0.000 0.000 0.140
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.0000 0.74498 1.000 0.000 0.000 0.000
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 2 0.4697 0.50105 0.356 0.644 0.000 0.000
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 3 0.4992 0.06622 0.000 0.476 0.524 0.000
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 4 0.3942 0.53177 0.000 0.236 0.000 0.764
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.4643 0.65515 0.656 0.000 0.000 0.344
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 1 0.5894 0.03962 0.568 0.040 0.000 0.392
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.2011 0.71959 0.000 0.920 0.000 0.080
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.4431 0.69041 0.696 0.000 0.000 0.304
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 4 0.4277 0.49122 0.000 0.280 0.000 0.720
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 2 0.0188 0.74517 0.000 0.996 0.004 0.000
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 2 0.4535 0.56656 0.292 0.704 0.000 0.004
#> DD292494-92A2-43CB-B59B-726B2F429B29 4 0.7508 0.18904 0.272 0.232 0.000 0.496
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.4500 0.68097 0.684 0.000 0.000 0.316
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 1 0.1118 0.75113 0.964 0.000 0.000 0.036
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 2 0.4950 0.47469 0.376 0.620 0.004 0.000
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 4 0.7081 -0.01381 0.000 0.424 0.124 0.452
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 1 0.0592 0.73789 0.984 0.016 0.000 0.000
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.6309 0.60214 0.588 0.000 0.076 0.336
#> 74CF740D-201D-4070-99B9-F007E7C4D472 4 0.3166 0.53313 0.016 0.000 0.116 0.868
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 4 0.4134 0.51066 0.000 0.260 0.000 0.740
#> 78F28873-E471-497A-9405-FB8955808599 3 0.3123 0.74439 0.000 0.156 0.844 0.000
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.0469 0.74435 0.000 0.988 0.000 0.012
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.0921 0.74105 0.000 0.972 0.000 0.028
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 4 0.7845 0.33814 0.280 0.320 0.000 0.400
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.0000 8.56e-01 0.000 0.000 1.000 0.000 0.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.0609 8.39e-01 0.980 0.000 0.000 0.020 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 4 0.3210 6.67e-01 0.212 0.000 0.000 0.788 0.000
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 4 0.4182 4.64e-01 0.400 0.000 0.000 0.600 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.0510 8.40e-01 0.984 0.000 0.000 0.016 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.0000 8.39e-01 1.000 0.000 0.000 0.000 0.000
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.0963 8.24e-01 0.000 0.964 0.000 0.036 0.000
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.1904 8.11e-01 0.016 0.936 0.000 0.020 0.028
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.1914 8.32e-01 0.928 0.008 0.000 0.056 0.008
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 1 0.2648 7.85e-01 0.848 0.000 0.000 0.152 0.000
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 1 0.6001 5.14e-01 0.640 0.236 0.000 0.080 0.044
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 2 0.1106 8.23e-01 0.012 0.964 0.000 0.024 0.000
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.0162 8.40e-01 0.996 0.000 0.000 0.004 0.000
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 1 0.2929 7.81e-01 0.820 0.000 0.000 0.180 0.000
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.0451 8.37e-01 0.988 0.000 0.000 0.004 0.008
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 3 0.4836 4.57e-01 0.000 0.336 0.628 0.036 0.000
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 5 0.1117 8.34e-01 0.000 0.020 0.000 0.016 0.964
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 5 0.0000 8.31e-01 0.000 0.000 0.000 0.000 1.000
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.0794 8.41e-01 0.972 0.000 0.000 0.028 0.000
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.0404 8.40e-01 0.988 0.000 0.000 0.012 0.000
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 2 0.4263 6.47e-01 0.180 0.760 0.000 0.060 0.000
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 2 0.1399 8.23e-01 0.000 0.952 0.028 0.020 0.000
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 1 0.5315 2.35e-01 0.532 0.020 0.000 0.020 0.428
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 1 0.1772 8.33e-01 0.940 0.008 0.020 0.032 0.000
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 4 0.2338 7.08e-01 0.004 0.112 0.000 0.884 0.000
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 4 0.2424 7.25e-01 0.132 0.000 0.000 0.868 0.000
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 4 0.3999 5.64e-01 0.344 0.000 0.000 0.656 0.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 1 0.4262 2.88e-02 0.560 0.000 0.000 0.440 0.000
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.1989 8.09e-01 0.020 0.932 0.000 0.016 0.032
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 3 0.4925 4.66e-01 0.000 0.324 0.632 0.044 0.000
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 5 0.0000 8.31e-01 0.000 0.000 0.000 0.000 1.000
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.0404 8.20e-01 0.000 0.988 0.000 0.012 0.000
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.3561 5.76e-01 0.740 0.000 0.000 0.260 0.000
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 2 0.1851 8.19e-01 0.000 0.912 0.000 0.088 0.000
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 4 0.5635 5.05e-01 0.080 0.012 0.000 0.624 0.284
#> BE56F908-42DD-4019-A8AC-48884DA788B1 4 0.2450 7.47e-01 0.048 0.052 0.000 0.900 0.000
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 5 0.3086 7.37e-01 0.004 0.180 0.000 0.000 0.816
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 1 0.3969 6.37e-01 0.692 0.004 0.000 0.304 0.000
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 3 0.2074 8.11e-01 0.036 0.000 0.920 0.044 0.000
#> 791D9EB8-42E0-4192-B064-B1126CA14481 5 0.0000 8.31e-01 0.000 0.000 0.000 0.000 1.000
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 2 0.0703 8.23e-01 0.000 0.976 0.000 0.024 0.000
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 2 0.5104 5.34e-01 0.000 0.632 0.016 0.324 0.028
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.0579 8.38e-01 0.984 0.000 0.000 0.008 0.008
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 4 0.3636 5.49e-01 0.272 0.000 0.000 0.728 0.000
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 3 0.0000 8.56e-01 0.000 0.000 1.000 0.000 0.000
#> D47C7B74-BB01-4614-B683-652F7130729C 4 0.4946 3.24e-01 0.000 0.368 0.036 0.596 0.000
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 4 0.3579 7.12e-01 0.072 0.000 0.000 0.828 0.100
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 5 0.6687 2.37e-01 0.004 0.344 0.000 0.208 0.444
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 4 0.3366 6.73e-01 0.232 0.000 0.000 0.768 0.000
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 5 0.2946 8.07e-01 0.000 0.088 0.000 0.044 0.868
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.2891 7.18e-01 0.824 0.000 0.000 0.176 0.000
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 4 0.2149 7.38e-01 0.048 0.000 0.000 0.916 0.036
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 2 0.4514 5.94e-01 0.008 0.728 0.000 0.036 0.228
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 2 0.2149 8.15e-01 0.000 0.916 0.036 0.048 0.000
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 3 0.3837 5.58e-01 0.308 0.000 0.692 0.000 0.000
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 4 0.3684 6.42e-01 0.280 0.000 0.000 0.720 0.000
#> 58F11B66-AE40-417E-B465-811C6CF7311C 4 0.4269 5.10e-01 0.300 0.016 0.000 0.684 0.000
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.0000 8.39e-01 1.000 0.000 0.000 0.000 0.000
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 4 0.3074 6.37e-01 0.000 0.196 0.000 0.804 0.000
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 4 0.2561 6.84e-01 0.000 0.144 0.000 0.856 0.000
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 2 0.0898 8.18e-01 0.000 0.972 0.000 0.020 0.008
#> 739952C6-FF36-4E34-B881-E02FE17C4012 1 0.0579 8.39e-01 0.984 0.000 0.000 0.008 0.008
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 1 0.1205 8.29e-01 0.956 0.000 0.000 0.004 0.040
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 2 0.2020 8.14e-01 0.000 0.900 0.000 0.100 0.000
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 1 0.0613 8.38e-01 0.984 0.004 0.000 0.004 0.008
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 1 0.3210 7.58e-01 0.788 0.000 0.000 0.212 0.000
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 1 0.1121 8.40e-01 0.956 0.000 0.000 0.044 0.000
#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 1 0.2329 8.11e-01 0.876 0.000 0.000 0.124 0.000
#> F6B26185-139B-47A7-91EC-E885D94AC882 1 0.5583 2.11e-01 0.528 0.008 0.036 0.008 0.420
#> 81F30B6F-3E9A-4913-986B-C56D5F107A17 2 0.3920 7.11e-01 0.156 0.796 0.000 0.044 0.004
#> 2CCB3AE1-0D27-4493-B7AE-67C60BBC1C38 2 0.1981 8.18e-01 0.000 0.920 0.016 0.064 0.000
#> 329665BC-B959-47C5-B831-5546F94EDAC1 5 0.0000 8.31e-01 0.000 0.000 0.000 0.000 1.000
#> 8D4335F6-6ACB-4E38-B9F2-A2B5B647AE90 5 0.0324 8.31e-01 0.004 0.000 0.000 0.004 0.992
#> D181D0D8-FD8C-4259-9B34-97224CF27E1B 5 0.0880 8.30e-01 0.000 0.000 0.000 0.032 0.968
#> C0C10950-ABC5-4125-A33E-5AFA2D2574B0 2 0.0000 8.21e-01 0.000 1.000 0.000 0.000 0.000
#> 834D12DB-0925-422C-B15B-20A60A5F658C 5 0.2813 8.14e-01 0.000 0.084 0.000 0.040 0.876
#> 50314689-519F-4B27-884C-7816DD64CF4E 1 0.3966 3.78e-01 0.664 0.000 0.000 0.336 0.000
#> 2502A23E-E168-4A78-9C14-B93FBC9715B1 1 0.3534 6.22e-01 0.744 0.000 0.256 0.000 0.000
#> 3F8D01A3-5449-48A1-BDBA-BFE4D908AE31 4 0.2516 6.93e-01 0.000 0.140 0.000 0.860 0.000
#> 1C47A87B-C033-4705-B903-DB33B8C6EC34 1 0.4270 5.93e-01 0.668 0.000 0.000 0.320 0.012
#> 1329E1C1-743E-4541-9081-165572D4BF47 5 0.3837 5.07e-01 0.000 0.000 0.000 0.308 0.692
#> 1F3F8680-EEB6-4532-B81D-51957D1EA502 1 0.3366 6.95e-01 0.784 0.000 0.000 0.004 0.212
#> 50F69785-8B7A-4933-85B1-8DC539ACC72A 1 0.0000 8.39e-01 1.000 0.000 0.000 0.000 0.000
#> 9095FDD8-EEB2-4B17-85AB-3CDAC0BEC759 1 0.3710 7.36e-01 0.784 0.000 0.192 0.024 0.000
#> B6BF8C22-03E4-44F0-B2EF-2A3DD6ADE7D7 1 0.1341 8.19e-01 0.944 0.000 0.000 0.000 0.056
#> D6A907FC-3A1B-4E3B-A440-1CE9BE9B334B 4 0.5329 3.25e-01 0.000 0.068 0.000 0.596 0.336
#> 02588D5D-89CB-4D0B-9E96-A0270C3FF866 2 0.3412 7.09e-01 0.000 0.820 0.000 0.028 0.152
#> D50BBFC7-7774-4B12-938C-8D5373C12DFC 2 0.4305 2.40e-01 0.000 0.512 0.000 0.488 0.000
#> 6E930060-502B-49F5-A385-9B91DEBD05E4 1 0.0703 8.39e-01 0.976 0.000 0.000 0.024 0.000
#> F6606A8E-ACC6-4826-9547-E0017521724D 5 0.3280 6.96e-01 0.012 0.000 0.000 0.176 0.812
#> 981584D3-10DB-455C-8132-E8E5F44E1222 5 0.0000 8.31e-01 0.000 0.000 0.000 0.000 1.000
#> 47F6E197-7164-4289-95B5-8FD305A13B4C 1 0.4305 7.47e-01 0.780 0.004 0.000 0.088 0.128
#> 4522D871-9379-4643-B15E-9ACB556276C4 3 0.1704 8.14e-01 0.068 0.000 0.928 0.004 0.000
#> 7560B2B5-6AF5-4600-9F0A-BE25CF99B6B9 1 0.1671 8.29e-01 0.924 0.000 0.000 0.076 0.000
#> 38F5957E-0A99-432D-8F0B-B48E03F17668 1 0.0609 8.40e-01 0.980 0.000 0.000 0.020 0.000
#> 7A6BBBE6-2B3B-44EB-A101-C823739AB24F 2 0.1364 8.14e-01 0.000 0.952 0.000 0.036 0.012
#> 0782D25A-3B14-499E-A40C-3852B3A15B8B 4 0.5432 1.93e-01 0.000 0.064 0.000 0.544 0.392
#> 31D4B639-D1E5-479B-AEC2-34F758F2E470 1 0.4604 7.36e-01 0.760 0.000 0.072 0.156 0.012
#> C49078E1-E730-4E81-8EAE-5AAAB9FA1BF5 3 0.4522 5.13e-01 0.024 0.316 0.660 0.000 0.000
#> 48BCD3B8-917F-4E8F-BCEA-1363570A6486 5 0.1399 8.29e-01 0.020 0.028 0.000 0.000 0.952
#> F3BA6259-9F68-47D0-ABDD-1272AE112CAB 2 0.3409 7.64e-01 0.000 0.836 0.000 0.112 0.052
#> 3CA49BB1-30F6-47F3-A751-D5601E16BDBA 5 0.0000 8.31e-01 0.000 0.000 0.000 0.000 1.000
#> 47747595-686A-46B5-9EF4-A4CFB85D746D 3 0.3569 7.41e-01 0.152 0.028 0.816 0.004 0.000
#> 87974EFF-C2DE-4930-93E3-015E6D996440 3 0.2074 8.27e-01 0.000 0.036 0.920 0.044 0.000
#> 7D272E6C-826D-4D02-8383-6A3D5BBF3A5F 3 0.0000 8.56e-01 0.000 0.000 1.000 0.000 0.000
#> 070E540B-34DB-4016-B573-84924407F57F 5 0.6130 3.56e-01 0.268 0.000 0.008 0.144 0.580
#> 63F4281A-4D90-4589-879E-549097FB3459 1 0.2648 7.88e-01 0.848 0.000 0.000 0.152 0.000
#> 93A66EA0-0C74-4342-8140-72ECB01F99A1 1 0.3810 7.55e-01 0.792 0.000 0.040 0.168 0.000
#> C92AD683-FD09-4DD2-A5A5-C72EA5DD9B46 4 0.1661 7.33e-01 0.024 0.000 0.000 0.940 0.036
#> 38D2BE9E-15D4-47BC-8FEB-55310F23825B 2 0.1197 8.21e-01 0.000 0.952 0.000 0.048 0.000
#> B3029936-1EEF-4378-AA28-D5B2A32CDC86 5 0.2127 8.05e-01 0.000 0.000 0.000 0.108 0.892
#> 9A33172F-AEEA-4B7D-9605-0C60D7872CEA 1 0.0324 8.38e-01 0.992 0.000 0.000 0.004 0.004
#> F2BC32E5-4117-468E-B637-9EDB6E9CC6C7 1 0.4235 2.98e-01 0.576 0.000 0.424 0.000 0.000
#> EC319D0D-96C5-49DB-A2C4-BB6BFED6844F 4 0.3561 6.59e-01 0.260 0.000 0.000 0.740 0.000
#> 8CB71499-1B35-417D-95E1-D85CE71A2D8A 4 0.3814 6.41e-01 0.276 0.000 0.000 0.720 0.004
#> C5986AA8-D1C7-47BB-946F-1AE00503A444 2 0.4511 3.48e-01 0.000 0.628 0.000 0.016 0.356
#> CDB44ECD-3F01-4865-B4CC-5190E0FB64DC 5 0.0404 8.30e-01 0.000 0.000 0.000 0.012 0.988
#> 57633DCE-DC21-42AE-82EB-81F532CE9840 2 0.1478 8.20e-01 0.000 0.936 0.000 0.064 0.000
#> 715C1406-D224-466D-968E-46889824CD3D 4 0.2068 7.10e-01 0.004 0.000 0.000 0.904 0.092
#> 86A9A426-4B69-4572-9AFF-103C2724E5EA 1 0.1573 8.19e-01 0.948 0.036 0.008 0.004 0.004
#> A73A2348-FC50-42A5-ADF0-6647E5ECF0EA 1 0.2690 8.00e-01 0.844 0.000 0.000 0.156 0.000
#> 4BF75CF9-DA61-4A0B-940C-B09C7FE864F0 1 0.1043 8.35e-01 0.960 0.000 0.000 0.040 0.000
#> E3D18696-51D7-4BE3-A32B-3196E5F80438 1 0.2411 7.89e-01 0.884 0.000 0.000 0.008 0.108
#> C4C7C112-555F-46D5-8D5D-411C7737A4C9 3 0.0290 8.52e-01 0.000 0.000 0.992 0.000 0.008
#> 0A3E0A3D-D396-4340-8D98-4B79DBFC312C 5 0.3035 8.01e-01 0.000 0.112 0.000 0.032 0.856
#> 5513114D-2503-4D11-ADA4-35BE010510E5 3 0.0000 8.56e-01 0.000 0.000 1.000 0.000 0.000
#> EDDCFDBA-B3E7-4E3F-97CB-D017C9DC9EF7 1 0.4305 2.23e-01 0.512 0.000 0.000 0.488 0.000
#> 7046C2F2-A8DE-4AE1-B27D-094CF2EF3B3D 2 0.1197 8.17e-01 0.000 0.952 0.000 0.048 0.000
#> 6869ABAF-343B-4C9B-8975-B26A2C895123 5 0.2514 8.19e-01 0.000 0.044 0.000 0.060 0.896
#> EC0B4E94-0FD0-4DBE-8E1A-14DBB0E63772 3 0.5819 5.37e-01 0.000 0.200 0.612 0.188 0.000
#> 245967F0-EE1A-4B0C-BEE2-0283393DA722 3 0.5406 5.99e-01 0.260 0.032 0.672 0.024 0.012
#> 9E5162FF-4316-42B2-882F-9CDBE2193686 5 0.4325 7.12e-01 0.000 0.064 0.000 0.180 0.756
#> 64FCCF76-C73F-401D-974A-BBB4F1CBC8A0 2 0.1571 8.20e-01 0.000 0.936 0.004 0.060 0.000
#> 20152BF5-FA56-4B98-8F20-FFEE20F8B1CB 1 0.2773 7.76e-01 0.836 0.000 0.000 0.164 0.000
#> 1576BB97-F8EA-48FF-9494-EBC7A0C97312 2 0.1410 8.20e-01 0.000 0.940 0.000 0.060 0.000
#> 4405F995-AE79-46F9-BFEE-81CAECF42BAE 4 0.5594 1.03e-01 0.072 0.436 0.000 0.492 0.000
#> 681D8638-84E1-43B9-93A9-3189560D8611 1 0.1908 8.28e-01 0.908 0.000 0.000 0.092 0.000
#> 49B8F49B-1C21-4145-BCDC-403B3D37CCD5 1 0.4297 1.92e-01 0.528 0.000 0.000 0.472 0.000
#> C11294C4-9285-4BC2-B0F6-98054A63CF50 4 0.4235 4.01e-01 0.424 0.000 0.000 0.576 0.000
#> 688EFD86-95DA-4442-87F0-DBF9E6B549FD 3 0.0000 8.56e-01 0.000 0.000 1.000 0.000 0.000
#> F23B0A1A-25AE-41D9-8C49-B692C4FDE1E4 1 0.1792 8.24e-01 0.916 0.000 0.000 0.084 0.000
#> 1809618E-A051-4758-BC59-B04E23FB3A42 2 0.0000 8.21e-01 0.000 1.000 0.000 0.000 0.000
#> 9DD73399-620E-472C-8360-5565F91BBD3A 1 0.3438 7.63e-01 0.808 0.000 0.000 0.172 0.020
#> E85AE97F-43CF-4250-B2BF-63E6FA8044E8 4 0.1173 7.31e-01 0.004 0.012 0.000 0.964 0.020
#> D4E58BFB-9859-4D77-A581-1D713AA54B0B 3 0.3489 7.30e-01 0.144 0.000 0.820 0.036 0.000
#> 57CDEE2D-9B87-40D7-8DDA-17B7000F6965 5 0.2992 8.07e-01 0.000 0.068 0.000 0.064 0.868
#> 412F9B5E-324D-40CC-A8F3-FA9C1FCC83C0 1 0.3114 8.14e-01 0.872 0.036 0.000 0.076 0.016
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#> B29206B9-3682-4A5A-A7ED-3DF04361440C 4 0.5032 5.70e-01 0.000 0.168 0.000 0.704 0.128
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.0451 8.37e-01 0.988 0.000 0.000 0.004 0.008
#> E15EAAB4-0860-4716-9922-667F604CDF12 1 0.3508 7.03e-01 0.748 0.000 0.000 0.252 0.000
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 5 0.0000 8.31e-01 0.000 0.000 0.000 0.000 1.000
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 4 0.2280 7.32e-01 0.120 0.000 0.000 0.880 0.000
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 3 0.0000 8.56e-01 0.000 0.000 1.000 0.000 0.000
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.1965 8.28e-01 0.904 0.000 0.000 0.096 0.000
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 2 0.1270 8.16e-01 0.000 0.948 0.000 0.052 0.000
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 2 0.0880 8.17e-01 0.000 0.968 0.000 0.032 0.000
#> E2A4C651-977F-4F40-B5EC-46DF75944141 1 0.1557 8.35e-01 0.940 0.000 0.000 0.052 0.008
#> 433599CC-9DF5-4494-A607-8079FFE74D95 4 0.4268 1.45e-01 0.000 0.444 0.000 0.556 0.000
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 5 0.3666 7.76e-01 0.000 0.048 0.092 0.020 0.840
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 2 0.4136 6.84e-01 0.000 0.764 0.188 0.048 0.000
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.4182 1.80e-01 0.600 0.000 0.000 0.400 0.000
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 4 0.1478 7.46e-01 0.064 0.000 0.000 0.936 0.000
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 1 0.1369 8.38e-01 0.956 0.008 0.000 0.028 0.008
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.0000 8.56e-01 0.000 0.000 1.000 0.000 0.000
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 2 0.5188 3.83e-01 0.000 0.600 0.344 0.056 0.000
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 2 0.2514 8.03e-01 0.000 0.896 0.060 0.044 0.000
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 5 0.5220 2.31e-01 0.000 0.440 0.000 0.044 0.516
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 1 0.6289 2.89e-01 0.484 0.160 0.000 0.356 0.000
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.5345 2.64e-01 0.000 0.540 0.000 0.404 0.056
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.0000 8.39e-01 1.000 0.000 0.000 0.000 0.000
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 2 0.2946 7.85e-01 0.000 0.868 0.088 0.044 0.000
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.1478 8.33e-01 0.936 0.000 0.000 0.064 0.000
#> 057B580C-13FD-4185-943C-9DD5266B8554 3 0.0833 8.47e-01 0.004 0.000 0.976 0.016 0.004
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 4 0.5431 1.70e-01 0.000 0.000 0.060 0.516 0.424
#> 287F3696-25CF-4E67-A934-E50856AD4790 2 0.1282 8.21e-01 0.004 0.952 0.000 0.044 0.000
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 5 0.5236 1.53e-01 0.000 0.464 0.000 0.044 0.492
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 5 0.1638 8.06e-01 0.004 0.000 0.000 0.064 0.932
#> B80A74AB-A264-4396-93F8-FD976DBC1456 2 0.2012 8.17e-01 0.000 0.920 0.020 0.060 0.000
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 4 0.3480 5.89e-01 0.000 0.248 0.000 0.752 0.000
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.1197 8.32e-01 0.952 0.000 0.000 0.048 0.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.2230 8.06e-01 0.884 0.000 0.000 0.116 0.000
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 4 0.3861 4.86e-01 0.004 0.284 0.000 0.712 0.000
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 2 0.4233 6.67e-01 0.000 0.748 0.208 0.044 0.000
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 5 0.2966 7.90e-01 0.016 0.136 0.000 0.000 0.848
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.0000 8.39e-01 1.000 0.000 0.000 0.000 0.000
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 4 0.1732 7.11e-01 0.000 0.000 0.000 0.920 0.080
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.1648 8.10e-01 0.000 0.940 0.000 0.040 0.020
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.0404 8.40e-01 0.988 0.000 0.000 0.012 0.000
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 5 0.0451 8.33e-01 0.000 0.004 0.000 0.008 0.988
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 2 0.2069 8.17e-01 0.000 0.912 0.012 0.076 0.000
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 4 0.1124 7.28e-01 0.000 0.036 0.000 0.960 0.004
#> DD292494-92A2-43CB-B59B-726B2F429B29 4 0.4306 2.71e-02 0.000 0.000 0.000 0.508 0.492
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.0290 8.40e-01 0.992 0.000 0.000 0.008 0.000
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 4 0.3921 6.95e-01 0.172 0.000 0.000 0.784 0.044
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 4 0.2377 6.75e-01 0.000 0.128 0.000 0.872 0.000
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 2 0.9070 2.37e-01 0.072 0.388 0.136 0.256 0.148
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 4 0.2561 7.29e-01 0.144 0.000 0.000 0.856 0.000
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.3955 7.44e-01 0.832 0.044 0.088 0.032 0.004
#> 74CF740D-201D-4070-99B9-F007E7C4D472 5 0.2806 7.23e-01 0.004 0.000 0.152 0.000 0.844
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 5 0.0000 8.31e-01 0.000 0.000 0.000 0.000 1.000
#> 78F28873-E471-497A-9405-FB8955808599 3 0.5088 1.48e-01 0.000 0.436 0.528 0.036 0.000
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.1270 8.16e-01 0.000 0.948 0.000 0.052 0.000
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.1197 8.17e-01 0.000 0.952 0.000 0.048 0.000
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 2 0.6669 3.59e-01 0.232 0.552 0.000 0.024 0.192
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.0000 0.85289 0.000 0.000 1.000 0.000 0.000 0.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.3592 0.67280 0.656 0.344 0.000 0.000 0.000 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 4 0.4234 0.46908 0.372 0.016 0.000 0.608 0.004 0.000
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 4 0.6111 -0.12017 0.340 0.296 0.000 0.364 0.000 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.3101 0.68890 0.756 0.244 0.000 0.000 0.000 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.3508 0.68626 0.704 0.292 0.000 0.004 0.000 0.000
#> 966A3A03-3879-4816-A1E9-D805F6018836 5 0.3136 0.46219 0.000 0.228 0.000 0.004 0.768 0.000
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 5 0.4227 -0.29014 0.004 0.492 0.000 0.008 0.496 0.000
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.2101 0.61661 0.912 0.052 0.000 0.028 0.000 0.008
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 1 0.4284 0.47568 0.728 0.064 0.000 0.200 0.000 0.008
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 2 0.5157 0.26395 0.172 0.684 0.000 0.116 0.024 0.004
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 5 0.1471 0.62319 0.000 0.064 0.000 0.004 0.932 0.000
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.1152 0.66313 0.952 0.044 0.000 0.004 0.000 0.000
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 1 0.3782 0.45260 0.740 0.036 0.000 0.224 0.000 0.000
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.3668 0.67838 0.668 0.328 0.000 0.004 0.000 0.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 5 0.3868 -0.10445 0.000 0.000 0.492 0.000 0.508 0.000
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 6 0.3222 0.73417 0.032 0.044 0.000 0.056 0.008 0.860
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 6 0.0291 0.74804 0.000 0.004 0.000 0.004 0.000 0.992
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.2263 0.67449 0.884 0.100 0.000 0.016 0.000 0.000
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.3563 0.67567 0.664 0.336 0.000 0.000 0.000 0.000
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 5 0.5101 0.22294 0.392 0.044 0.000 0.020 0.544 0.000
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 5 0.4165 0.50379 0.000 0.160 0.100 0.000 0.740 0.000
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 6 0.5037 0.28310 0.448 0.040 0.000 0.016 0.000 0.496
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 1 0.4057 0.64650 0.600 0.388 0.000 0.012 0.000 0.000
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 4 0.3851 0.63940 0.056 0.008 0.000 0.776 0.160 0.000
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 4 0.1391 0.68002 0.040 0.016 0.000 0.944 0.000 0.000
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.6108 0.26977 0.364 0.344 0.000 0.292 0.000 0.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 1 0.4620 -0.00848 0.532 0.040 0.000 0.428 0.000 0.000
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 5 0.4274 -0.13161 0.004 0.432 0.000 0.012 0.552 0.000
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 3 0.3860 0.15370 0.000 0.000 0.528 0.000 0.472 0.000
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 6 0.0146 0.74735 0.000 0.004 0.000 0.000 0.000 0.996
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 5 0.3833 -0.13638 0.000 0.444 0.000 0.000 0.556 0.000
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.4653 0.63564 0.588 0.360 0.000 0.052 0.000 0.000
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 5 0.2912 0.58295 0.000 0.076 0.000 0.072 0.852 0.000
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 4 0.5994 0.39025 0.104 0.052 0.000 0.556 0.000 0.288
#> BE56F908-42DD-4019-A8AC-48884DA788B1 4 0.3240 0.66883 0.056 0.012 0.000 0.840 0.092 0.000
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 6 0.3191 0.68925 0.024 0.016 0.000 0.000 0.128 0.832
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 1 0.5850 0.24611 0.604 0.056 0.000 0.228 0.112 0.000
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 3 0.0858 0.83397 0.028 0.000 0.968 0.004 0.000 0.000
#> 791D9EB8-42E0-4192-B064-B1126CA14481 6 0.0363 0.74622 0.000 0.012 0.000 0.000 0.000 0.988
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 5 0.3898 0.15327 0.000 0.336 0.000 0.012 0.652 0.000
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 2 0.5054 0.42094 0.000 0.508 0.000 0.048 0.432 0.012
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.3592 0.67280 0.656 0.344 0.000 0.000 0.000 0.000
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 4 0.3301 0.59841 0.188 0.024 0.000 0.788 0.000 0.000
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 3 0.0000 0.85289 0.000 0.000 1.000 0.000 0.000 0.000
#> D47C7B74-BB01-4614-B683-652F7130729C 2 0.5805 0.40203 0.000 0.492 0.020 0.112 0.376 0.000
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 4 0.5144 0.52107 0.180 0.052 0.000 0.688 0.000 0.080
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 6 0.8042 0.20891 0.268 0.060 0.000 0.264 0.080 0.328
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 4 0.5868 0.10163 0.204 0.348 0.000 0.448 0.000 0.000
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.4929 0.26035 0.000 0.544 0.000 0.016 0.036 0.404
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.4367 0.64880 0.604 0.364 0.000 0.032 0.000 0.000
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 4 0.0820 0.67489 0.016 0.012 0.000 0.972 0.000 0.000
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 2 0.4463 0.38847 0.000 0.516 0.000 0.000 0.456 0.028
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 5 0.1858 0.63059 0.000 0.004 0.092 0.000 0.904 0.000
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 3 0.4065 0.46157 0.300 0.028 0.672 0.000 0.000 0.000
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 2 0.6082 -0.39041 0.284 0.392 0.000 0.324 0.000 0.000
#> 58F11B66-AE40-417E-B465-811C6CF7311C 4 0.5802 0.28895 0.236 0.196 0.000 0.556 0.012 0.000
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.3221 0.68763 0.736 0.264 0.000 0.000 0.000 0.000
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 4 0.3266 0.55289 0.000 0.000 0.000 0.728 0.272 0.000
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 4 0.1010 0.67561 0.000 0.004 0.000 0.960 0.036 0.000
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 5 0.3867 -0.27764 0.000 0.488 0.000 0.000 0.512 0.000
#> 739952C6-FF36-4E34-B881-E02FE17C4012 1 0.1918 0.67369 0.904 0.088 0.000 0.008 0.000 0.000
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 1 0.4193 0.66562 0.624 0.352 0.000 0.000 0.000 0.024
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 5 0.4224 -0.12250 0.000 0.432 0.000 0.016 0.552 0.000
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 1 0.1914 0.65555 0.920 0.056 0.000 0.016 0.000 0.008
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 1 0.3797 0.39494 0.692 0.016 0.000 0.292 0.000 0.000
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 1 0.1124 0.64549 0.956 0.036 0.000 0.008 0.000 0.000
#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 1 0.1572 0.63254 0.936 0.028 0.000 0.036 0.000 0.000
#> F6B26185-139B-47A7-91EC-E885D94AC882 1 0.6129 0.27654 0.604 0.048 0.092 0.024 0.000 0.232
#> 81F30B6F-3E9A-4913-986B-C56D5F107A17 5 0.5048 0.31751 0.316 0.068 0.000 0.012 0.604 0.000
#> 2CCB3AE1-0D27-4493-B7AE-67C60BBC1C38 5 0.0260 0.64438 0.000 0.000 0.008 0.000 0.992 0.000
#> 329665BC-B959-47C5-B831-5546F94EDAC1 6 0.0000 0.74732 0.000 0.000 0.000 0.000 0.000 1.000
#> 8D4335F6-6ACB-4E38-B9F2-A2B5B647AE90 6 0.2262 0.74173 0.008 0.016 0.000 0.080 0.000 0.896
#> D181D0D8-FD8C-4259-9B34-97224CF27E1B 6 0.3967 0.33195 0.000 0.356 0.000 0.012 0.000 0.632
#> C0C10950-ABC5-4125-A33E-5AFA2D2574B0 5 0.3578 0.24076 0.000 0.340 0.000 0.000 0.660 0.000
#> 834D12DB-0925-422C-B15B-20A60A5F658C 6 0.4757 0.29983 0.012 0.372 0.000 0.012 0.016 0.588
#> 50314689-519F-4B27-884C-7816DD64CF4E 1 0.5160 0.60533 0.564 0.332 0.000 0.104 0.000 0.000
#> 2502A23E-E168-4A78-9C14-B93FBC9715B1 1 0.4868 0.64140 0.592 0.332 0.076 0.000 0.000 0.000
#> 3F8D01A3-5449-48A1-BDBA-BFE4D908AE31 4 0.4354 0.59487 0.044 0.012 0.000 0.704 0.240 0.000
#> 1C47A87B-C033-4705-B903-DB33B8C6EC34 1 0.5256 -0.06484 0.476 0.060 0.000 0.452 0.008 0.004
#> 1329E1C1-743E-4541-9081-165572D4BF47 6 0.4444 0.48526 0.000 0.068 0.000 0.256 0.000 0.676
#> 1F3F8680-EEB6-4532-B81D-51957D1EA502 1 0.4886 0.65942 0.648 0.252 0.000 0.004 0.000 0.096
#> 50F69785-8B7A-4933-85B1-8DC539ACC72A 1 0.3446 0.68327 0.692 0.308 0.000 0.000 0.000 0.000
#> 9095FDD8-EEB2-4B17-85AB-3CDAC0BEC759 1 0.4902 0.51950 0.744 0.020 0.104 0.096 0.036 0.000
#> B6BF8C22-03E4-44F0-B2EF-2A3DD6ADE7D7 1 0.2766 0.59804 0.852 0.020 0.000 0.004 0.000 0.124
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#> 36040CAB-FF77-4540-BB44-7961A6A54B29 5 0.4120 0.46561 0.000 0.160 0.000 0.096 0.744 0.000
#> 3808C3A9-22DA-4DC5-9F51-884A7EF574E6 1 0.6298 0.18229 0.528 0.016 0.000 0.180 0.016 0.260
#> 24363857-9A33-40D4-8409-C17225570833 4 0.5543 0.51724 0.116 0.016 0.000 0.576 0.292 0.000
#> A57E6132-9B76-493A-A167-8462263B7CDB 6 0.0260 0.74676 0.000 0.008 0.000 0.000 0.000 0.992
#> 4C020890-E652-4DE4-B66D-5F6F71405F64 4 0.4404 0.63768 0.164 0.012 0.000 0.736 0.088 0.000
#> 90C991CD-412E-4318-96E3-EB84B868FE9F 5 0.3371 0.35202 0.000 0.292 0.000 0.000 0.708 0.000
#> FA8E73EA-649C-43ED-854E-B9472820D1C6 6 0.4436 0.29483 0.000 0.008 0.000 0.380 0.020 0.592
#> 4D46B5DE-186A-4D35-8E1B-64701C13BC69 5 0.3810 0.13874 0.000 0.000 0.428 0.000 0.572 0.000
#> D516A82D-2F77-46B2-90F7-30BA5C78AAC8 2 0.4773 0.47053 0.000 0.556 0.000 0.000 0.388 0.056
#> 1FBD0805-13AE-4A82-8B94-640E1C921262 3 0.0000 0.85289 0.000 0.000 1.000 0.000 0.000 0.000
#> 264525A9-F7DB-4012-A93B-CF8A7626F125 5 0.2178 0.61241 0.000 0.000 0.132 0.000 0.868 0.000
#> AFF029D8-FFC9-4AA9-8049-F1E27C743F6F 4 0.5280 0.52936 0.012 0.004 0.096 0.624 0.264 0.000
#> 5B65768D-0E81-4469-9D69-69B07ED5ACD5 5 0.6019 0.32149 0.208 0.240 0.000 0.012 0.536 0.004
#> 2CB06CA6-8D1F-4BC7-99BE-66921805B8FD 2 0.6017 0.47876 0.004 0.516 0.000 0.008 0.272 0.200
#> 956357FB-9AB3-497C-BB55-9D15B486A422 6 0.6868 0.25719 0.332 0.060 0.000 0.212 0.000 0.396
#> C8F2BAD0-7124-46BF-975C-4B44BE980F93 1 0.3758 0.67993 0.668 0.324 0.000 0.000 0.000 0.008
#> E96AE267-3E23-4EA9-93E2-D92558155A17 3 0.0000 0.85289 0.000 0.000 1.000 0.000 0.000 0.000
#> 1C8DCA5B-965B-485A-83B6-5CBEB2117E47 4 0.2006 0.64991 0.000 0.104 0.000 0.892 0.004 0.000
#> DEAB79F5-336A-49B4-8046-AEE2F567FE46 1 0.3351 0.68488 0.712 0.288 0.000 0.000 0.000 0.000
#> 767FE89E-E19F-4F56-A744-CB3C5CCC085B 4 0.0767 0.67368 0.004 0.008 0.000 0.976 0.012 0.000
#> 7B0BF632-79E5-46B5-AAC8-4A6D5A193449 3 0.3309 0.61318 0.000 0.000 0.720 0.000 0.280 0.000
#> 9A281EDE-FF96-4E66-AEF4-692BDFA8E99D 6 0.0146 0.74737 0.000 0.004 0.000 0.000 0.000 0.996
#> B8C2D019-00C9-4E1E-8383-4FE2FFB4D2D7 3 0.0000 0.85289 0.000 0.000 1.000 0.000 0.000 0.000
#> 39A9B95F-186B-4550-9271-001151B1A626 2 0.2282 0.36299 0.024 0.888 0.000 0.000 0.088 0.000
#> CAD6E491-88FB-4221-90E9-AC9C68AECCB0 4 0.1584 0.67761 0.064 0.008 0.000 0.928 0.000 0.000
#> 15EFBC5B-C713-4718-BB6F-0EBBE4D6997F 2 0.5925 0.15271 0.000 0.456 0.000 0.236 0.000 0.308
#> BBA00038-09B1-461D-9F8E-484890B0D130 4 0.3386 0.63866 0.188 0.016 0.000 0.788 0.008 0.000
#> 16EBB885-A692-42A6-9027-F6AD769E0ABB 1 0.3710 0.68277 0.696 0.292 0.000 0.012 0.000 0.000
#> 2D57E24B-97A6-4B85-BC8F-3E02DDC6C460 5 0.2416 0.55741 0.000 0.156 0.000 0.000 0.844 0.000
#> C6E39F86-9DEF-4BCA-930B-2A3993D18901 6 0.2454 0.65206 0.000 0.160 0.000 0.000 0.000 0.840
#> 5BE4D8E9-DA18-426F-8AE6-075B15010390 1 0.4024 0.46551 0.752 0.064 0.000 0.180 0.000 0.004
#> 8E9CAAC7-31D3-473C-821C-2DAD37B44D3A 2 0.3986 0.37942 0.000 0.532 0.000 0.004 0.464 0.000
#> 368CFCA3-7BAB-4D6D-9AE1-55713A9965C1 3 0.0291 0.84925 0.004 0.004 0.992 0.000 0.000 0.000
#> 14DB79EF-DE2B-4197-AD32-F657E0655FCD 6 0.7449 0.23900 0.108 0.048 0.000 0.360 0.088 0.396
#> E73BCFCB-C5FE-4BF2-A236-B9E69711C121 4 0.1408 0.67375 0.036 0.020 0.000 0.944 0.000 0.000
#> CDAFAFEA-365B-4F25-AEC0-639B6E0CB626 4 0.1370 0.67185 0.004 0.012 0.000 0.948 0.036 0.000
#> 48A2AAEB-7F60-4284-808E-2058A531B17C 5 0.4170 0.20358 0.000 0.308 0.000 0.000 0.660 0.032
#> D4276C6F-9F0F-4F74-A85E-1E54272ADDED 2 0.3899 0.44449 0.000 0.592 0.000 0.004 0.404 0.000
#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 2 0.6397 0.23875 0.000 0.472 0.000 0.180 0.036 0.312
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 4 0.4363 0.38380 0.000 0.324 0.000 0.636 0.040 0.000
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 3 0.0551 0.84757 0.000 0.008 0.984 0.004 0.004 0.000
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 1 0.3547 0.67709 0.668 0.332 0.000 0.000 0.000 0.000
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 3 0.0000 0.85289 0.000 0.000 1.000 0.000 0.000 0.000
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 1 0.5166 0.26579 0.628 0.060 0.000 0.012 0.012 0.288
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 1 0.5827 0.55319 0.476 0.316 0.000 0.208 0.000 0.000
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 4 0.5163 0.52438 0.260 0.048 0.000 0.644 0.000 0.048
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 6 0.0622 0.74748 0.000 0.012 0.000 0.008 0.000 0.980
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 5 0.3756 0.19444 0.000 0.000 0.000 0.400 0.600 0.000
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 5 0.4195 -0.16415 0.000 0.440 0.000 0.004 0.548 0.008
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 4 0.3575 0.56284 0.284 0.008 0.000 0.708 0.000 0.000
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 2 0.6056 0.40951 0.000 0.412 0.000 0.000 0.292 0.296
#> C7997523-47CF-40F0-8803-AB873E38033C 6 0.0146 0.74735 0.000 0.004 0.000 0.000 0.000 0.996
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 4 0.4464 0.46335 0.000 0.264 0.000 0.676 0.056 0.004
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 5 0.0937 0.64497 0.000 0.000 0.040 0.000 0.960 0.000
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 3 0.5837 0.08178 0.188 0.396 0.416 0.000 0.000 0.000
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 1 0.3592 0.67280 0.656 0.344 0.000 0.000 0.000 0.000
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 5 0.3575 0.35670 0.000 0.284 0.000 0.008 0.708 0.000
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 4 0.5953 0.27808 0.000 0.268 0.000 0.540 0.020 0.172
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 3 0.0146 0.85167 0.000 0.000 0.996 0.000 0.004 0.000
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 6 0.3753 0.45988 0.000 0.292 0.000 0.008 0.004 0.696
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 1 0.2350 0.62388 0.888 0.036 0.000 0.076 0.000 0.000
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.3547 0.67724 0.668 0.332 0.000 0.000 0.000 0.000
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 4 0.2932 0.66021 0.164 0.016 0.000 0.820 0.000 0.000
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 1 0.1700 0.67327 0.916 0.080 0.000 0.004 0.000 0.000
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 3 0.2948 0.71867 0.000 0.008 0.804 0.000 0.188 0.000
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 4 0.3306 0.65273 0.036 0.136 0.000 0.820 0.008 0.000
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 2 0.4141 0.42416 0.000 0.556 0.000 0.012 0.432 0.000
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 4 0.5767 0.20768 0.000 0.360 0.000 0.524 0.044 0.072
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.3912 0.67386 0.648 0.340 0.000 0.012 0.000 0.000
#> E15EAAB4-0860-4716-9922-667F604CDF12 1 0.3758 0.38943 0.700 0.016 0.000 0.284 0.000 0.000
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 6 0.0717 0.74794 0.016 0.008 0.000 0.000 0.000 0.976
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 4 0.2170 0.68345 0.100 0.012 0.000 0.888 0.000 0.000
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 3 0.0291 0.85074 0.004 0.000 0.992 0.000 0.004 0.000
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.3641 0.68455 0.748 0.224 0.000 0.028 0.000 0.000
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 2 0.3851 0.38370 0.000 0.540 0.000 0.000 0.460 0.000
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 5 0.3866 -0.27305 0.000 0.484 0.000 0.000 0.516 0.000
#> E2A4C651-977F-4F40-B5EC-46DF75944141 1 0.2068 0.62496 0.916 0.048 0.000 0.020 0.000 0.016
#> 433599CC-9DF5-4494-A607-8079FFE74D95 5 0.3993 0.17396 0.000 0.008 0.000 0.400 0.592 0.000
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 6 0.2851 0.71582 0.000 0.000 0.036 0.080 0.016 0.868
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 5 0.2838 0.57687 0.000 0.004 0.188 0.000 0.808 0.000
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.5510 0.54447 0.516 0.340 0.000 0.144 0.000 0.000
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 4 0.2673 0.66553 0.132 0.012 0.000 0.852 0.004 0.000
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 1 0.1657 0.62507 0.928 0.056 0.000 0.016 0.000 0.000
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.0000 0.85289 0.000 0.000 1.000 0.000 0.000 0.000
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 5 0.3101 0.51951 0.000 0.000 0.244 0.000 0.756 0.000
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 5 0.0790 0.64665 0.000 0.000 0.032 0.000 0.968 0.000
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.5524 0.50334 0.000 0.572 0.000 0.008 0.280 0.140
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 4 0.6814 0.22929 0.340 0.052 0.000 0.388 0.220 0.000
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.5253 0.45953 0.000 0.536 0.000 0.056 0.388 0.020
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.2703 0.68714 0.824 0.172 0.000 0.004 0.000 0.000
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 5 0.0713 0.64410 0.000 0.000 0.028 0.000 0.972 0.000
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.3936 0.67967 0.688 0.288 0.000 0.024 0.000 0.000
#> 057B580C-13FD-4185-943C-9DD5266B8554 3 0.3099 0.77250 0.072 0.012 0.868 0.024 0.004 0.020
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 4 0.4497 0.25154 0.000 0.012 0.020 0.600 0.000 0.368
#> 287F3696-25CF-4E67-A934-E50856AD4790 5 0.2234 0.58471 0.000 0.124 0.000 0.004 0.872 0.000
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.5200 0.50690 0.000 0.588 0.000 0.004 0.304 0.104
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 6 0.5129 0.61702 0.100 0.040 0.000 0.172 0.000 0.688
#> B80A74AB-A264-4396-93F8-FD976DBC1456 5 0.1219 0.64404 0.000 0.004 0.048 0.000 0.948 0.000
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 4 0.4392 0.48021 0.000 0.256 0.000 0.680 0.064 0.000
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.4641 0.66065 0.664 0.248 0.000 0.088 0.000 0.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.3619 0.51193 0.744 0.024 0.000 0.232 0.000 0.000
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 2 0.5764 0.34275 0.004 0.528 0.000 0.272 0.196 0.000
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 5 0.2003 0.60964 0.000 0.000 0.116 0.000 0.884 0.000
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 6 0.4292 0.57322 0.008 0.176 0.000 0.008 0.060 0.748
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.2340 0.68433 0.852 0.148 0.000 0.000 0.000 0.000
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 4 0.0717 0.67095 0.000 0.016 0.000 0.976 0.000 0.008
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.3860 0.36253 0.000 0.528 0.000 0.000 0.472 0.000
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.3266 0.68926 0.728 0.272 0.000 0.000 0.000 0.000
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 6 0.2743 0.64569 0.000 0.164 0.000 0.008 0.000 0.828
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 5 0.0717 0.64161 0.000 0.000 0.008 0.016 0.976 0.000
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 4 0.0520 0.67316 0.000 0.008 0.000 0.984 0.008 0.000
#> DD292494-92A2-43CB-B59B-726B2F429B29 4 0.5547 0.07961 0.000 0.120 0.004 0.488 0.000 0.388
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.0692 0.64595 0.976 0.020 0.000 0.004 0.000 0.000
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 4 0.6222 0.39983 0.216 0.016 0.000 0.504 0.004 0.260
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 4 0.2389 0.66437 0.000 0.060 0.000 0.888 0.052 0.000
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 4 0.8676 0.07023 0.252 0.276 0.084 0.288 0.076 0.024
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 4 0.3381 0.66925 0.148 0.040 0.004 0.808 0.000 0.000
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 2 0.4524 -0.52205 0.452 0.520 0.024 0.004 0.000 0.000
#> 74CF740D-201D-4070-99B9-F007E7C4D472 6 0.3626 0.70744 0.072 0.024 0.084 0.000 0.000 0.820
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 6 0.0000 0.74732 0.000 0.000 0.000 0.000 0.000 1.000
#> 78F28873-E471-497A-9405-FB8955808599 5 0.3866 -0.23111 0.000 0.000 0.484 0.000 0.516 0.000
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.3833 0.40571 0.000 0.556 0.000 0.000 0.444 0.000
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.3860 0.36253 0.000 0.528 0.000 0.000 0.472 0.000
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 1 0.6884 0.22696 0.528 0.168 0.000 0.020 0.212 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["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 17397 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 0.403 0.805 0.892 0.4287 0.554 0.554
#> 3 3 0.351 0.474 0.765 0.4219 0.633 0.432
#> 4 4 0.419 0.633 0.748 0.1305 0.787 0.517
#> 5 5 0.489 0.647 0.736 0.0745 0.950 0.836
#> 6 6 0.548 0.595 0.746 0.0395 0.956 0.841
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
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 2 0.0000 0.8782 0.000 1.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 2 0.3584 0.8752 0.068 0.932
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 2 0.0000 0.8782 0.000 1.000
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 2 0.0938 0.8815 0.012 0.988
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 2 0.9850 0.3281 0.428 0.572
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.7139 0.8044 0.804 0.196
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.1184 0.8819 0.016 0.984
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 1 0.0000 0.8611 1.000 0.000
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.0000 0.8611 1.000 0.000
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 1 0.4690 0.8584 0.900 0.100
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 1 0.6887 0.8157 0.816 0.184
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 1 0.6623 0.8234 0.828 0.172
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.0938 0.8633 0.988 0.012
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 2 0.8016 0.7372 0.244 0.756
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.0000 0.8611 1.000 0.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 2 0.0000 0.8782 0.000 1.000
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 1 0.7139 0.8049 0.804 0.196
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 1 0.6438 0.8304 0.836 0.164
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 2 0.8608 0.6783 0.284 0.716
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.3584 0.8645 0.932 0.068
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 1 0.5178 0.8534 0.884 0.116
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 2 0.4690 0.8621 0.100 0.900
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 1 0.0000 0.8611 1.000 0.000
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 2 0.4939 0.8489 0.108 0.892
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 2 0.2043 0.8829 0.032 0.968
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 2 0.8861 0.6472 0.304 0.696
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 2 0.0672 0.8807 0.008 0.992
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 2 0.5408 0.8494 0.124 0.876
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 1 0.0000 0.8611 1.000 0.000
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 2 0.0000 0.8782 0.000 1.000
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 1 0.8267 0.7179 0.740 0.260
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.1633 0.8829 0.024 0.976
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 2 0.2236 0.8821 0.036 0.964
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 2 0.2236 0.8828 0.036 0.964
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 2 0.7815 0.7544 0.232 0.768
#> BE56F908-42DD-4019-A8AC-48884DA788B1 2 0.0000 0.8782 0.000 1.000
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 1 0.4815 0.8571 0.896 0.104
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 1 0.4690 0.8584 0.900 0.100
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 2 0.6148 0.8296 0.152 0.848
#> 791D9EB8-42E0-4192-B064-B1126CA14481 1 0.6531 0.8272 0.832 0.168
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 2 0.0000 0.8782 0.000 1.000
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 2 0.3431 0.8769 0.064 0.936
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.0938 0.8633 0.988 0.012
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 2 0.4022 0.8705 0.080 0.920
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 2 0.4939 0.8489 0.108 0.892
#> D47C7B74-BB01-4614-B683-652F7130729C 2 0.0000 0.8782 0.000 1.000
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 1 0.6801 0.8186 0.820 0.180
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 2 0.5946 0.8356 0.144 0.856
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 2 0.4939 0.8581 0.108 0.892
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.1184 0.8819 0.016 0.984
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 2 0.7674 0.7618 0.224 0.776
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 2 0.8955 0.6322 0.312 0.688
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 1 0.7453 0.7851 0.788 0.212
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 2 0.0000 0.8782 0.000 1.000
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 2 0.0000 0.8782 0.000 1.000
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 2 0.4562 0.8641 0.096 0.904
#> 58F11B66-AE40-417E-B465-811C6CF7311C 2 0.8386 0.7050 0.268 0.732
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.2603 0.8652 0.956 0.044
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 2 0.0000 0.8782 0.000 1.000
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 2 0.2043 0.8831 0.032 0.968
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 1 0.6801 0.8181 0.820 0.180
#> 739952C6-FF36-4E34-B881-E02FE17C4012 1 0.0000 0.8611 1.000 0.000
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 1 0.0000 0.8611 1.000 0.000
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 2 0.1633 0.8828 0.024 0.976
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 1 0.6973 0.8119 0.812 0.188
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 2 0.8327 0.7063 0.264 0.736
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 1 0.7745 0.7657 0.772 0.228
#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 2 0.9286 0.5633 0.344 0.656
#> F6B26185-139B-47A7-91EC-E885D94AC882 1 0.6973 0.8119 0.812 0.188
#> 81F30B6F-3E9A-4913-986B-C56D5F107A17 1 0.0672 0.8626 0.992 0.008
#> 2CCB3AE1-0D27-4493-B7AE-67C60BBC1C38 2 0.0000 0.8782 0.000 1.000
#> 329665BC-B959-47C5-B831-5546F94EDAC1 1 0.0000 0.8611 1.000 0.000
#> 8D4335F6-6ACB-4E38-B9F2-A2B5B647AE90 1 0.8955 0.6229 0.688 0.312
#> D181D0D8-FD8C-4259-9B34-97224CF27E1B 1 0.9129 0.5851 0.672 0.328
#> C0C10950-ABC5-4125-A33E-5AFA2D2574B0 2 0.5737 0.8410 0.136 0.864
#> 834D12DB-0925-422C-B15B-20A60A5F658C 1 0.7674 0.7713 0.776 0.224
#> 50314689-519F-4B27-884C-7816DD64CF4E 2 0.2603 0.8815 0.044 0.956
#> 2502A23E-E168-4A78-9C14-B93FBC9715B1 1 0.6148 0.8371 0.848 0.152
#> 3F8D01A3-5449-48A1-BDBA-BFE4D908AE31 2 0.1414 0.8824 0.020 0.980
#> 1C47A87B-C033-4705-B903-DB33B8C6EC34 2 0.9954 0.2022 0.460 0.540
#> 1329E1C1-743E-4541-9081-165572D4BF47 2 0.1843 0.8828 0.028 0.972
#> 1F3F8680-EEB6-4532-B81D-51957D1EA502 1 0.3879 0.8632 0.924 0.076
#> 50F69785-8B7A-4933-85B1-8DC539ACC72A 1 0.0000 0.8611 1.000 0.000
#> 9095FDD8-EEB2-4B17-85AB-3CDAC0BEC759 2 0.6148 0.8306 0.152 0.848
#> B6BF8C22-03E4-44F0-B2EF-2A3DD6ADE7D7 1 0.3879 0.8630 0.924 0.076
#> D6A907FC-3A1B-4E3B-A440-1CE9BE9B334B 2 0.0000 0.8782 0.000 1.000
#> 02588D5D-89CB-4D0B-9E96-A0270C3FF866 2 0.9983 0.1302 0.476 0.524
#> D50BBFC7-7774-4B12-938C-8D5373C12DFC 2 0.0000 0.8782 0.000 1.000
#> 6E930060-502B-49F5-A385-9B91DEBD05E4 2 0.8608 0.6783 0.284 0.716
#> F6606A8E-ACC6-4826-9547-E0017521724D 1 0.4939 0.8564 0.892 0.108
#> 981584D3-10DB-455C-8132-E8E5F44E1222 1 0.4431 0.8603 0.908 0.092
#> 47F6E197-7164-4289-95B5-8FD305A13B4C 1 0.0000 0.8611 1.000 0.000
#> 4522D871-9379-4643-B15E-9ACB556276C4 2 0.8144 0.7269 0.252 0.748
#> 7560B2B5-6AF5-4600-9F0A-BE25CF99B6B9 1 0.0000 0.8611 1.000 0.000
#> 38F5957E-0A99-432D-8F0B-B48E03F17668 2 0.9983 0.1262 0.476 0.524
#> 7A6BBBE6-2B3B-44EB-A101-C823739AB24F 2 0.7219 0.7880 0.200 0.800
#> 0782D25A-3B14-499E-A40C-3852B3A15B8B 2 0.0938 0.8811 0.012 0.988
#> 31D4B639-D1E5-479B-AEC2-34F758F2E470 1 0.0000 0.8611 1.000 0.000
#> C49078E1-E730-4E81-8EAE-5AAAB9FA1BF5 1 0.9833 0.3025 0.576 0.424
#> 48BCD3B8-917F-4E8F-BCEA-1363570A6486 1 0.5629 0.8470 0.868 0.132
#> F3BA6259-9F68-47D0-ABDD-1272AE112CAB 2 0.2236 0.8824 0.036 0.964
#> 3CA49BB1-30F6-47F3-A751-D5601E16BDBA 1 0.6531 0.8272 0.832 0.168
#> 47747595-686A-46B5-9EF4-A4CFB85D746D 2 0.4939 0.8489 0.108 0.892
#> 87974EFF-C2DE-4930-93E3-015E6D996440 2 0.0938 0.8814 0.012 0.988
#> 7D272E6C-826D-4D02-8383-6A3D5BBF3A5F 2 0.0000 0.8782 0.000 1.000
#> 070E540B-34DB-4016-B573-84924407F57F 1 0.7056 0.8080 0.808 0.192
#> 63F4281A-4D90-4589-879E-549097FB3459 1 0.0000 0.8611 1.000 0.000
#> 93A66EA0-0C74-4342-8140-72ECB01F99A1 1 0.7056 0.8084 0.808 0.192
#> C92AD683-FD09-4DD2-A5A5-C72EA5DD9B46 2 0.2778 0.8809 0.048 0.952
#> 38D2BE9E-15D4-47BC-8FEB-55310F23825B 2 0.6247 0.8271 0.156 0.844
#> B3029936-1EEF-4378-AA28-D5B2A32CDC86 1 0.4161 0.8625 0.916 0.084
#> 9A33172F-AEEA-4B7D-9605-0C60D7872CEA 1 0.0000 0.8611 1.000 0.000
#> F2BC32E5-4117-468E-B637-9EDB6E9CC6C7 1 0.2043 0.8650 0.968 0.032
#> EC319D0D-96C5-49DB-A2C4-BB6BFED6844F 2 0.2778 0.8811 0.048 0.952
#> 8CB71499-1B35-417D-95E1-D85CE71A2D8A 2 0.3114 0.8790 0.056 0.944
#> C5986AA8-D1C7-47BB-946F-1AE00503A444 2 0.6801 0.8050 0.180 0.820
#> CDB44ECD-3F01-4865-B4CC-5190E0FB64DC 2 0.5946 0.8356 0.144 0.856
#> 57633DCE-DC21-42AE-82EB-81F532CE9840 2 0.7376 0.7789 0.208 0.792
#> 715C1406-D224-466D-968E-46889824CD3D 2 0.8016 0.7372 0.244 0.756
#> 86A9A426-4B69-4572-9AFF-103C2724E5EA 1 0.9993 0.0402 0.516 0.484
#> A73A2348-FC50-42A5-ADF0-6647E5ECF0EA 2 0.8608 0.6812 0.284 0.716
#> 4BF75CF9-DA61-4A0B-940C-B09C7FE864F0 2 0.7528 0.7706 0.216 0.784
#> E3D18696-51D7-4BE3-A32B-3196E5F80438 1 0.4939 0.8564 0.892 0.108
#> C4C7C112-555F-46D5-8D5D-411C7737A4C9 2 0.4939 0.8489 0.108 0.892
#> 0A3E0A3D-D396-4340-8D98-4B79DBFC312C 2 0.1843 0.8832 0.028 0.972
#> 5513114D-2503-4D11-ADA4-35BE010510E5 1 0.4815 0.8578 0.896 0.104
#> EDDCFDBA-B3E7-4E3F-97CB-D017C9DC9EF7 2 0.6148 0.8267 0.152 0.848
#> 7046C2F2-A8DE-4AE1-B27D-094CF2EF3B3D 2 0.2236 0.8813 0.036 0.964
#> 6869ABAF-343B-4C9B-8975-B26A2C895123 2 0.8955 0.6330 0.312 0.688
#> EC0B4E94-0FD0-4DBE-8E1A-14DBB0E63772 2 0.0000 0.8782 0.000 1.000
#> 245967F0-EE1A-4B0C-BEE2-0283393DA722 2 0.4939 0.8489 0.108 0.892
#> 9E5162FF-4316-42B2-882F-9CDBE2193686 2 0.3431 0.8766 0.064 0.936
#> 64FCCF76-C73F-401D-974A-BBB4F1CBC8A0 2 0.8813 0.6528 0.300 0.700
#> 20152BF5-FA56-4B98-8F20-FFEE20F8B1CB 1 0.0000 0.8611 1.000 0.000
#> 1576BB97-F8EA-48FF-9494-EBC7A0C97312 2 0.7376 0.7785 0.208 0.792
#> 4405F995-AE79-46F9-BFEE-81CAECF42BAE 2 0.0000 0.8782 0.000 1.000
#> 681D8638-84E1-43B9-93A9-3189560D8611 1 0.8386 0.7030 0.732 0.268
#> 49B8F49B-1C21-4145-BCDC-403B3D37CCD5 2 0.1633 0.8825 0.024 0.976
#> C11294C4-9285-4BC2-B0F6-98054A63CF50 2 0.2948 0.8797 0.052 0.948
#> 688EFD86-95DA-4442-87F0-DBF9E6B549FD 2 0.0938 0.8814 0.012 0.988
#> F23B0A1A-25AE-41D9-8C49-B692C4FDE1E4 1 0.0000 0.8611 1.000 0.000
#> 1809618E-A051-4758-BC59-B04E23FB3A42 2 0.7219 0.7865 0.200 0.800
#> 9DD73399-620E-472C-8360-5565F91BBD3A 1 0.0000 0.8611 1.000 0.000
#> E85AE97F-43CF-4250-B2BF-63E6FA8044E8 2 0.3431 0.8768 0.064 0.936
#> D4E58BFB-9859-4D77-A581-1D713AA54B0B 1 0.4815 0.8581 0.896 0.104
#> 57CDEE2D-9B87-40D7-8DDA-17B7000F6965 2 0.1843 0.8832 0.028 0.972
#> 412F9B5E-324D-40CC-A8F3-FA9C1FCC83C0 1 0.0000 0.8611 1.000 0.000
#> 668765BB-DEC9-4746-B932-C8CE643B6564 2 0.1414 0.8826 0.020 0.980
#> 80379304-DD5D-49A3-8DE7-376FD06AEE17 2 0.1843 0.8828 0.028 0.972
#> BB657D53-8FE7-46AA-918E-8BE6EB5B70AD 1 0.7139 0.8045 0.804 0.196
#> 5ACFF57E-8B40-4A68-98B9-1F80D80B3F00 2 0.5737 0.8420 0.136 0.864
#> 74DDE13E-88AD-47C3-8824-5AE0C2B969D6 2 0.0000 0.8782 0.000 1.000
#> 19590D31-2415-4D46-8E50-494FC40BF639 2 0.0000 0.8782 0.000 1.000
#> 5E55B08E-C597-4DF7-8577-D8B15C404E59 2 0.7815 0.7515 0.232 0.768
#> 9061C1A3-8141-4780-B3F0-4D499B0556F3 2 0.8016 0.7372 0.244 0.756
#> FBE93EC7-CA18-41CE-8B85-50B4EC204278 2 0.0000 0.8782 0.000 1.000
#> E070D6ED-3B18-4D12-ABB4-2B62FF6033FC 1 0.5737 0.8447 0.864 0.136
#> 562291E5-AB47-4455-9C92-7904DAB14AB4 1 0.9129 0.5851 0.672 0.328
#> AE8BD116-5550-4A0F-BEBE-F092675A1F45 1 0.0000 0.8611 1.000 0.000
#> 94B73102-D49E-4CE8-9B49-7C109B3EC27C 2 0.8861 0.6451 0.304 0.696
#> AAC76EDF-5E5A-4D7E-8450-2B699A70EAA3 2 0.0000 0.8782 0.000 1.000
#> 0A1391EA-5B15-4D28-B6AE-2732FCA49897 2 0.0000 0.8782 0.000 1.000
#> F781C72C-3357-4038-AD89-5651FE3A1E20 1 0.6801 0.8186 0.820 0.180
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#> E3C1D3D8-1C78-4C16-B0E5-56B5CCE3C6B4 2 0.8443 0.6974 0.272 0.728
#> 1B0FE71F-DD59-45F7-BA73-E8BEEB7349A8 1 0.2043 0.8650 0.968 0.032
#> 8756589A-8352-4CDA-9297-D4C146D1DF47 2 0.2423 0.8824 0.040 0.960
#> E013D176-4FCB-4DF5-93F0-72803590B677 2 0.0000 0.8782 0.000 1.000
#> D0CCA6E0-8557-491C-AB82-289DF53E57FA 2 0.6801 0.8055 0.180 0.820
#> 933DB910-2728-4DC4-840E-B0CD1F13A421 2 0.0000 0.8782 0.000 1.000
#> 93910528-D681-4C69-86FD-326293B2F1C1 1 0.9209 0.5653 0.664 0.336
#> 3C9FDA2A-01C8-4F17-BBF1-5CAEAE3764D4 2 0.9286 0.5638 0.344 0.656
#> 8879C57E-8876-462F-810E-EE07C2F541AD 2 0.0000 0.8782 0.000 1.000
#> 130C8FBD-8D78-4212-8DD6-301EDFA339A9 2 0.0938 0.8814 0.012 0.988
#> 6C1FF3E9-0A8B-4B02-B0E9-EEF333E53592 1 0.1414 0.8641 0.980 0.020
#> 726497B7-C557-4D5C-A926-6DDA6136C899 1 0.0000 0.8611 1.000 0.000
#> 2299CD19-BF08-404C-B1BF-B570F12CCEF8 2 0.0000 0.8782 0.000 1.000
#> E8BCBDC5-E34E-422F-86C2-A4B30400EC86 1 0.8081 0.7371 0.752 0.248
#> B9EF0525-8B4A-4306-B06B-35AC457F5F48 2 0.3879 0.8726 0.076 0.924
#> F663E106-4E34-46C8-9CD9-AE5E9B8B27F0 1 0.4815 0.8571 0.896 0.104
#> 94E26CD5-238B-4D8C-B8E8-A62C44EB2B41 2 1.0000 0.0214 0.500 0.500
#> 135743C3-829E-46DC-BBA9-FF07C8067612 2 0.4815 0.8601 0.104 0.896
#> CBD7775A-2802-4EB7-9F62-6B80D7667AED 2 0.0000 0.8782 0.000 1.000
#> BD6DAD3D-2D5F-4560-9A4C-70D8A1D49732 2 0.3584 0.8752 0.068 0.932
#> ED86F92E-6B39-4C0C-9A60-870984F53C4D 1 0.7453 0.7862 0.788 0.212
#> CD3B289F-FAE1-405F-875F-23C1D2609DFC 2 0.6887 0.8024 0.184 0.816
#> D1C0E70B-B2BB-4FE7-8DEC-B50659739BAA 1 0.0000 0.8611 1.000 0.000
#> D2417A9C-CBF0-47F6-B20C-FB32AF632A84 1 0.0000 0.8611 1.000 0.000
#> EF5618C6-6AFB-4FB5-A32B-7946F18E9736 2 0.0376 0.8794 0.004 0.996
#> 36040CAB-FF77-4540-BB44-7961A6A54B29 2 0.0376 0.8794 0.004 0.996
#> 3808C3A9-22DA-4DC5-9F51-884A7EF574E6 2 0.5408 0.8500 0.124 0.876
#> 24363857-9A33-40D4-8409-C17225570833 2 0.7219 0.7865 0.200 0.800
#> A57E6132-9B76-493A-A167-8462263B7CDB 1 0.3431 0.8638 0.936 0.064
#> 4C020890-E652-4DE4-B66D-5F6F71405F64 2 0.1184 0.8820 0.016 0.984
#> 90C991CD-412E-4318-96E3-EB84B868FE9F 2 0.7376 0.7789 0.208 0.792
#> FA8E73EA-649C-43ED-854E-B9472820D1C6 2 0.7139 0.7902 0.196 0.804
#> 4D46B5DE-186A-4D35-8E1B-64701C13BC69 2 0.0000 0.8782 0.000 1.000
#> D516A82D-2F77-46B2-90F7-30BA5C78AAC8 2 0.7219 0.7880 0.200 0.800
#> 1FBD0805-13AE-4A82-8B94-640E1C921262 1 0.6148 0.8371 0.848 0.152
#> 264525A9-F7DB-4012-A93B-CF8A7626F125 2 0.1184 0.8821 0.016 0.984
#> AFF029D8-FFC9-4AA9-8049-F1E27C743F6F 2 0.4690 0.8625 0.100 0.900
#> 5B65768D-0E81-4469-9D69-69B07ED5ACD5 1 0.0000 0.8611 1.000 0.000
#> 2CB06CA6-8D1F-4BC7-99BE-66921805B8FD 1 0.9710 0.3878 0.600 0.400
#> 956357FB-9AB3-497C-BB55-9D15B486A422 1 0.7139 0.8045 0.804 0.196
#> C8F2BAD0-7124-46BF-975C-4B44BE980F93 1 0.3879 0.8632 0.924 0.076
#> E96AE267-3E23-4EA9-93E2-D92558155A17 2 0.0000 0.8782 0.000 1.000
#> 1C8DCA5B-965B-485A-83B6-5CBEB2117E47 2 0.2043 0.8833 0.032 0.968
#> DEAB79F5-336A-49B4-8046-AEE2F567FE46 1 0.7219 0.7998 0.800 0.200
#> 767FE89E-E19F-4F56-A744-CB3C5CCC085B 2 0.0000 0.8782 0.000 1.000
#> 7B0BF632-79E5-46B5-AAC8-4A6D5A193449 2 0.0000 0.8782 0.000 1.000
#> 9A281EDE-FF96-4E66-AEF4-692BDFA8E99D 1 0.4690 0.8584 0.900 0.100
#> B8C2D019-00C9-4E1E-8383-4FE2FFB4D2D7 2 0.0000 0.8782 0.000 1.000
#> 39A9B95F-186B-4550-9271-001151B1A626 2 0.0000 0.8782 0.000 1.000
#> CAD6E491-88FB-4221-90E9-AC9C68AECCB0 2 0.5629 0.8446 0.132 0.868
#> 15EFBC5B-C713-4718-BB6F-0EBBE4D6997F 2 0.2948 0.8800 0.052 0.948
#> BBA00038-09B1-461D-9F8E-484890B0D130 2 0.0000 0.8782 0.000 1.000
#> 16EBB885-A692-42A6-9027-F6AD769E0ABB 2 0.4431 0.8661 0.092 0.908
#> 2D57E24B-97A6-4B85-BC8F-3E02DDC6C460 2 0.2043 0.8831 0.032 0.968
#> C6E39F86-9DEF-4BCA-930B-2A3993D18901 1 0.7602 0.7758 0.780 0.220
#> 5BE4D8E9-DA18-426F-8AE6-075B15010390 1 0.0000 0.8611 1.000 0.000
#> 8E9CAAC7-31D3-473C-821C-2DAD37B44D3A 2 0.1414 0.8826 0.020 0.980
#> 368CFCA3-7BAB-4D6D-9AE1-55713A9965C1 2 0.0000 0.8782 0.000 1.000
#> 14DB79EF-DE2B-4197-AD32-F657E0655FCD 1 0.9358 0.5228 0.648 0.352
#> E73BCFCB-C5FE-4BF2-A236-B9E69711C121 2 0.5737 0.8419 0.136 0.864
#> CDAFAFEA-365B-4F25-AEC0-639B6E0CB626 2 0.2778 0.8809 0.048 0.952
#> 48A2AAEB-7F60-4284-808E-2058A531B17C 2 0.1843 0.8828 0.028 0.972
#> D4276C6F-9F0F-4F74-A85E-1E54272ADDED 2 0.2236 0.8827 0.036 0.964
#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 2 0.2236 0.8828 0.036 0.964
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 2 0.1184 0.8818 0.016 0.984
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 2 0.1184 0.8824 0.016 0.984
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 1 0.0000 0.8611 1.000 0.000
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 2 0.6973 0.7945 0.188 0.812
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 1 0.0000 0.8611 1.000 0.000
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 1 0.8144 0.7313 0.748 0.252
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 2 0.4161 0.8693 0.084 0.916
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 1 0.0000 0.8611 1.000 0.000
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 2 0.2236 0.8829 0.036 0.964
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 1 0.6623 0.8234 0.828 0.172
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 2 0.8144 0.7274 0.252 0.748
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 1 0.7299 0.7937 0.796 0.204
#> C7997523-47CF-40F0-8803-AB873E38033C 1 0.0000 0.8611 1.000 0.000
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 2 0.0000 0.8782 0.000 1.000
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 2 0.8443 0.6951 0.272 0.728
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 2 0.0000 0.8782 0.000 1.000
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 1 0.6887 0.8148 0.816 0.184
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 1 0.0000 0.8611 1.000 0.000
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 2 0.5946 0.8356 0.144 0.856
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 2 0.0000 0.8782 0.000 1.000
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 1 0.6531 0.8272 0.832 0.168
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 2 0.9323 0.5536 0.348 0.652
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.9522 0.4736 0.628 0.372
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 2 0.0000 0.8782 0.000 1.000
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 1 0.2043 0.8650 0.968 0.032
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 2 0.1414 0.8826 0.020 0.980
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 2 0.0000 0.8782 0.000 1.000
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 2 0.1184 0.8818 0.016 0.984
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 2 0.1184 0.8818 0.016 0.984
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.0938 0.8633 0.988 0.012
#> E15EAAB4-0860-4716-9922-667F604CDF12 2 0.9170 0.5899 0.332 0.668
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 1 0.3431 0.8638 0.936 0.064
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 2 0.1633 0.8825 0.024 0.976
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 1 0.9129 0.5862 0.672 0.328
#> F37E118C-1066-4A84-B190-B9B78E265D94 2 0.3584 0.8752 0.068 0.932
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 2 0.2236 0.8830 0.036 0.964
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 2 0.7602 0.7656 0.220 0.780
#> E2A4C651-977F-4F40-B5EC-46DF75944141 1 0.0000 0.8611 1.000 0.000
#> 433599CC-9DF5-4494-A607-8079FFE74D95 2 0.0000 0.8782 0.000 1.000
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 2 0.2043 0.8833 0.032 0.968
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 2 0.0000 0.8782 0.000 1.000
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 2 0.0672 0.8804 0.008 0.992
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 2 0.2603 0.8813 0.044 0.956
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 1 0.0000 0.8611 1.000 0.000
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 2 0.0000 0.8782 0.000 1.000
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 2 0.0376 0.8795 0.004 0.996
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 2 0.0376 0.8793 0.004 0.996
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.9993 0.1044 0.484 0.516
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 1 0.9323 0.5335 0.652 0.348
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.0000 0.8782 0.000 1.000
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.0000 0.8611 1.000 0.000
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 2 0.9970 0.1682 0.468 0.532
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 2 0.1633 0.8825 0.024 0.976
#> 057B580C-13FD-4185-943C-9DD5266B8554 2 0.1184 0.8821 0.016 0.984
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 2 0.0000 0.8782 0.000 1.000
#> 287F3696-25CF-4E67-A934-E50856AD4790 2 0.3584 0.8757 0.068 0.932
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.2236 0.8827 0.036 0.964
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 1 0.7056 0.8080 0.808 0.192
#> B80A74AB-A264-4396-93F8-FD976DBC1456 2 0.0000 0.8782 0.000 1.000
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.0672 0.8803 0.008 0.992
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 2 0.7528 0.7715 0.216 0.784
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 2 0.1633 0.8825 0.024 0.976
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 2 0.1414 0.8824 0.020 0.980
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 2 0.9000 0.6223 0.316 0.684
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 1 0.4690 0.8584 0.900 0.100
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.0000 0.8611 1.000 0.000
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 2 0.0376 0.8791 0.004 0.996
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.4939 0.8576 0.108 0.892
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.7139 0.8044 0.804 0.196
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 1 0.6531 0.8272 0.832 0.168
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 2 0.0000 0.8782 0.000 1.000
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 2 0.7056 0.7954 0.192 0.808
#> DD292494-92A2-43CB-B59B-726B2F429B29 2 0.0376 0.8791 0.004 0.996
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.2236 0.8651 0.964 0.036
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 2 0.4431 0.8653 0.092 0.908
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 2 0.1414 0.8824 0.020 0.980
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 1 0.0000 0.8611 1.000 0.000
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 2 0.0000 0.8782 0.000 1.000
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 2 0.4939 0.8489 0.108 0.892
#> 74CF740D-201D-4070-99B9-F007E7C4D472 1 0.0000 0.8611 1.000 0.000
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 1 0.4690 0.8584 0.900 0.100
#> 78F28873-E471-497A-9405-FB8955808599 2 0.8555 0.6871 0.280 0.720
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.0000 0.8782 0.000 1.000
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.7376 0.7789 0.208 0.792
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 1 0.5519 0.8485 0.872 0.128
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.3116 0.76911 0.108 0.000 0.892
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.6936 0.03359 0.524 0.016 0.460
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 3 0.4121 0.74578 0.168 0.000 0.832
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 3 0.5882 0.51263 0.348 0.000 0.652
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.5042 0.55364 0.836 0.104 0.060
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.6244 -0.18675 0.560 0.440 0.000
#> 966A3A03-3879-4816-A1E9-D805F6018836 3 0.6026 0.48511 0.376 0.000 0.624
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.0000 0.86171 0.000 1.000 0.000
#> 18971368-40F0-42D3-B1A3-707850C53B18 2 0.0000 0.86171 0.000 1.000 0.000
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 2 0.6295 0.41867 0.472 0.528 0.000
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 1 0.6295 -0.26507 0.528 0.472 0.000
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 1 0.6267 -0.23896 0.548 0.452 0.000
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 2 0.1964 0.84668 0.056 0.944 0.000
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 1 0.4413 0.54233 0.832 0.008 0.160
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 2 0.0000 0.86171 0.000 1.000 0.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 3 0.1163 0.77541 0.028 0.000 0.972
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 1 0.6204 -0.15687 0.576 0.424 0.000
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 1 0.6280 -0.25887 0.540 0.460 0.000
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.5346 0.55549 0.808 0.040 0.152
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 2 0.5254 0.69823 0.264 0.736 0.000
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 2 0.6252 0.46674 0.444 0.556 0.000
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 1 0.5785 0.33756 0.668 0.000 0.332
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 2 0.1031 0.85776 0.024 0.976 0.000
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 3 0.5397 0.55830 0.280 0.000 0.720
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 1 0.6307 -0.10459 0.512 0.000 0.488
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 1 0.4821 0.56179 0.840 0.040 0.120
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 3 0.5431 0.62457 0.284 0.000 0.716
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 1 0.6381 0.34286 0.648 0.012 0.340
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.0000 0.86171 0.000 1.000 0.000
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 3 0.2066 0.78131 0.060 0.000 0.940
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 1 0.5968 0.00591 0.636 0.364 0.000
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#> 24363857-9A33-40D4-8409-C17225570833 1 0.4605 0.50995 0.796 0.000 0.204
#> A57E6132-9B76-493A-A167-8462263B7CDB 2 0.3879 0.78472 0.152 0.848 0.000
#> 4C020890-E652-4DE4-B66D-5F6F71405F64 3 0.5733 0.55537 0.324 0.000 0.676
#> 90C991CD-412E-4318-96E3-EB84B868FE9F 1 0.4504 0.51618 0.804 0.000 0.196
#> FA8E73EA-649C-43ED-854E-B9472820D1C6 1 0.4654 0.50601 0.792 0.000 0.208
#> 4D46B5DE-186A-4D35-8E1B-64701C13BC69 3 0.1289 0.77740 0.032 0.000 0.968
#> D516A82D-2F77-46B2-90F7-30BA5C78AAC8 1 0.4784 0.51376 0.796 0.004 0.200
#> 1FBD0805-13AE-4A82-8B94-640E1C921262 1 0.6308 -0.33060 0.508 0.492 0.000
#> 264525A9-F7DB-4012-A93B-CF8A7626F125 3 0.4062 0.74927 0.164 0.000 0.836
#> AFF029D8-FFC9-4AA9-8049-F1E27C743F6F 1 0.6008 0.25701 0.628 0.000 0.372
#> 5B65768D-0E81-4469-9D69-69B07ED5ACD5 2 0.0000 0.86171 0.000 1.000 0.000
#> 2CB06CA6-8D1F-4BC7-99BE-66921805B8FD 1 0.5858 0.32380 0.740 0.240 0.020
#> 956357FB-9AB3-497C-BB55-9D15B486A422 1 0.6235 -0.18209 0.564 0.436 0.000
#> C8F2BAD0-7124-46BF-975C-4B44BE980F93 2 0.5733 0.63123 0.324 0.676 0.000
#> E96AE267-3E23-4EA9-93E2-D92558155A17 3 0.0592 0.77316 0.012 0.000 0.988
#> 1C8DCA5B-965B-485A-83B6-5CBEB2117E47 3 0.6095 0.42961 0.392 0.000 0.608
#> DEAB79F5-336A-49B4-8046-AEE2F567FE46 1 0.6244 -0.18444 0.560 0.440 0.000
#> 767FE89E-E19F-4F56-A744-CB3C5CCC085B 3 0.1289 0.78149 0.032 0.000 0.968
#> 7B0BF632-79E5-46B5-AAC8-4A6D5A193449 3 0.1411 0.77718 0.036 0.000 0.964
#> 9A281EDE-FF96-4E66-AEF4-692BDFA8E99D 2 0.6299 0.41356 0.476 0.524 0.000
#> B8C2D019-00C9-4E1E-8383-4FE2FFB4D2D7 3 0.0592 0.77316 0.012 0.000 0.988
#> 39A9B95F-186B-4550-9271-001151B1A626 3 0.3192 0.77739 0.112 0.000 0.888
#> CAD6E491-88FB-4221-90E9-AC9C68AECCB0 1 0.5902 0.37733 0.680 0.004 0.316
#> 15EFBC5B-C713-4718-BB6F-0EBBE4D6997F 1 0.6252 0.05960 0.556 0.000 0.444
#> BBA00038-09B1-461D-9F8E-484890B0D130 3 0.0237 0.76823 0.004 0.000 0.996
#> 16EBB885-A692-42A6-9027-F6AD769E0ABB 1 0.6264 0.24214 0.616 0.004 0.380
#> 2D57E24B-97A6-4B85-BC8F-3E02DDC6C460 3 0.6286 0.25439 0.464 0.000 0.536
#> C6E39F86-9DEF-4BCA-930B-2A3993D18901 1 0.6126 -0.09651 0.600 0.400 0.000
#> 5BE4D8E9-DA18-426F-8AE6-075B15010390 2 0.0592 0.86026 0.012 0.988 0.000
#> 8E9CAAC7-31D3-473C-821C-2DAD37B44D3A 3 0.6095 0.43570 0.392 0.000 0.608
#> 368CFCA3-7BAB-4D6D-9AE1-55713A9965C1 3 0.3752 0.75924 0.144 0.000 0.856
#> 14DB79EF-DE2B-4197-AD32-F657E0655FCD 1 0.6388 0.25222 0.692 0.284 0.024
#> E73BCFCB-C5FE-4BF2-A236-B9E69711C121 1 0.5873 0.38466 0.684 0.004 0.312
#> CDAFAFEA-365B-4F25-AEC0-639B6E0CB626 1 0.6302 -0.08414 0.520 0.000 0.480
#> 48A2AAEB-7F60-4284-808E-2058A531B17C 3 0.6260 0.31213 0.448 0.000 0.552
#> D4276C6F-9F0F-4F74-A85E-1E54272ADDED 1 0.6291 -0.04079 0.532 0.000 0.468
#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 1 0.6299 -0.06442 0.524 0.000 0.476
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 3 0.5529 0.58416 0.296 0.000 0.704
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 3 0.6168 0.39812 0.412 0.000 0.588
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 2 0.0000 0.86171 0.000 1.000 0.000
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 3 0.7672 0.09049 0.468 0.044 0.488
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 2 0.0000 0.86171 0.000 1.000 0.000
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 1 0.6062 -0.04335 0.616 0.384 0.000
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 1 0.6062 0.23204 0.616 0.000 0.384
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 2 0.0237 0.86143 0.004 0.996 0.000
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 3 0.6215 0.34678 0.428 0.000 0.572
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 1 0.6280 -0.25225 0.540 0.460 0.000
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 1 0.3983 0.54757 0.852 0.004 0.144
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 1 0.6180 -0.14476 0.584 0.416 0.000
#> C7997523-47CF-40F0-8803-AB873E38033C 2 0.0000 0.86171 0.000 1.000 0.000
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 3 0.0747 0.77467 0.016 0.000 0.984
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 1 0.3412 0.54626 0.876 0.000 0.124
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 3 0.2796 0.77494 0.092 0.000 0.908
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 1 0.6299 -0.28243 0.524 0.476 0.000
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 2 0.0237 0.86132 0.004 0.996 0.000
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 1 0.5465 0.41778 0.712 0.000 0.288
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 3 0.3412 0.76884 0.124 0.000 0.876
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 1 0.6280 -0.25633 0.540 0.460 0.000
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 1 0.5467 0.56105 0.816 0.072 0.112
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.7056 0.23747 0.656 0.300 0.044
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 3 0.0237 0.76823 0.004 0.000 0.996
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 2 0.4504 0.75521 0.196 0.804 0.000
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 3 0.5138 0.67258 0.252 0.000 0.748
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 3 0.0000 0.76548 0.000 0.000 1.000
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 3 0.5591 0.57742 0.304 0.000 0.696
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 3 0.5591 0.57742 0.304 0.000 0.696
#> 1DEA6525-5598-4985-9218-D61912C75437 2 0.1964 0.84668 0.056 0.944 0.000
#> E15EAAB4-0860-4716-9922-667F604CDF12 1 0.4994 0.56256 0.836 0.052 0.112
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 2 0.3816 0.78655 0.148 0.852 0.000
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 3 0.6305 0.17431 0.484 0.000 0.516
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 1 0.6553 0.16574 0.656 0.324 0.020
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.6771 0.09020 0.548 0.012 0.440
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 1 0.6307 -0.10205 0.512 0.000 0.488
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 1 0.4521 0.52770 0.816 0.004 0.180
#> E2A4C651-977F-4F40-B5EC-46DF75944141 2 0.0000 0.86171 0.000 1.000 0.000
#> 433599CC-9DF5-4494-A607-8079FFE74D95 3 0.0424 0.77000 0.008 0.000 0.992
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 3 0.6095 0.42942 0.392 0.000 0.608
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 3 0.1529 0.78143 0.040 0.000 0.960
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 3 0.5948 0.49304 0.360 0.000 0.640
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 1 0.6267 0.02455 0.548 0.000 0.452
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 2 0.0000 0.86171 0.000 1.000 0.000
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.1964 0.78011 0.056 0.000 0.944
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 3 0.3752 0.76667 0.144 0.000 0.856
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 3 0.2066 0.78004 0.060 0.000 0.940
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 1 0.5558 0.50508 0.800 0.152 0.048
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 1 0.6420 0.24304 0.688 0.288 0.024
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 3 0.0892 0.77608 0.020 0.000 0.980
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 2 0.0000 0.86171 0.000 1.000 0.000
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 1 0.3030 0.50669 0.904 0.092 0.004
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.6299 -0.05922 0.524 0.000 0.476
#> 057B580C-13FD-4185-943C-9DD5266B8554 3 0.6225 0.32383 0.432 0.000 0.568
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 3 0.3267 0.76740 0.116 0.000 0.884
#> 287F3696-25CF-4E67-A934-E50856AD4790 1 0.6204 0.11052 0.576 0.000 0.424
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 1 0.6516 -0.06672 0.516 0.004 0.480
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 1 0.6267 -0.24371 0.548 0.452 0.000
#> B80A74AB-A264-4396-93F8-FD976DBC1456 3 0.1289 0.77740 0.032 0.000 0.968
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 3 0.4842 0.67790 0.224 0.000 0.776
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.5687 0.51304 0.756 0.020 0.224
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 3 0.6302 0.17865 0.480 0.000 0.520
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 3 0.6235 0.30074 0.436 0.000 0.564
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 1 0.2165 0.55527 0.936 0.000 0.064
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.6299 0.41356 0.476 0.524 0.000
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 2 0.0000 0.86171 0.000 1.000 0.000
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 3 0.1163 0.77962 0.028 0.000 0.972
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 1 0.6169 0.29993 0.636 0.004 0.360
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.6244 -0.18675 0.560 0.440 0.000
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 1 0.6280 -0.25633 0.540 0.460 0.000
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 3 0.4346 0.73369 0.184 0.000 0.816
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 1 0.5024 0.50004 0.776 0.004 0.220
#> DD292494-92A2-43CB-B59B-726B2F429B29 3 0.1289 0.78122 0.032 0.000 0.968
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 2 0.4605 0.75513 0.204 0.796 0.000
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 1 0.6045 0.23682 0.620 0.000 0.380
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 3 0.6305 0.16508 0.484 0.000 0.516
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 2 0.0000 0.86171 0.000 1.000 0.000
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 3 0.2711 0.77785 0.088 0.000 0.912
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 3 0.5397 0.55830 0.280 0.000 0.720
#> 74CF740D-201D-4070-99B9-F007E7C4D472 2 0.0000 0.86171 0.000 1.000 0.000
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 2 0.6299 0.41356 0.476 0.524 0.000
#> 78F28873-E471-497A-9405-FB8955808599 1 0.3349 0.55510 0.888 0.004 0.108
#> 29294D9A-434B-4581-9591-63D16107C7B1 3 0.2356 0.78550 0.072 0.000 0.928
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 1 0.4504 0.51618 0.804 0.000 0.196
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 2 0.6291 0.42283 0.468 0.532 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.7588 0.48663 0.312 0.220 0.468 0.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.5421 0.62248 0.724 0.076 0.200 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 3 0.4500 0.64043 0.316 0.000 0.684 0.000
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.5163 -0.02811 0.516 0.004 0.480 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.5143 0.31959 0.628 0.360 0.000 0.012
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 2 0.5929 0.83079 0.108 0.688 0.000 0.204
#> 966A3A03-3879-4816-A1E9-D805F6018836 1 0.4843 0.27478 0.604 0.000 0.396 0.000
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 4 0.0000 0.88340 0.000 0.000 0.000 1.000
#> 18971368-40F0-42D3-B1A3-707850C53B18 4 0.0000 0.88340 0.000 0.000 0.000 1.000
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 2 0.5972 0.75526 0.068 0.640 0.000 0.292
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 2 0.6025 0.81973 0.096 0.668 0.000 0.236
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 2 0.6265 0.82003 0.124 0.656 0.000 0.220
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 4 0.2611 0.81929 0.008 0.096 0.000 0.896
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 1 0.2773 0.67620 0.880 0.116 0.004 0.000
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 4 0.0000 0.88340 0.000 0.000 0.000 1.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 3 0.1978 0.77980 0.068 0.004 0.928 0.000
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 2 0.6295 0.83249 0.144 0.660 0.000 0.196
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 2 0.6064 0.82864 0.108 0.672 0.000 0.220
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.3893 0.62244 0.796 0.196 0.008 0.000
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 4 0.5929 0.08588 0.048 0.356 0.000 0.596
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 2 0.6292 0.72101 0.076 0.592 0.000 0.332
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 1 0.3899 0.69518 0.840 0.052 0.108 0.000
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 4 0.1637 0.85919 0.000 0.060 0.000 0.940
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 1 0.7671 -0.15525 0.456 0.244 0.300 0.000
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 1 0.4372 0.55714 0.728 0.004 0.268 0.000
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 1 0.3768 0.61493 0.808 0.184 0.000 0.008
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 3 0.5147 0.28240 0.460 0.004 0.536 0.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 1 0.4150 0.69331 0.824 0.056 0.120 0.000
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 4 0.0000 0.88340 0.000 0.000 0.000 1.000
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 3 0.3208 0.78027 0.148 0.004 0.848 0.000
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 2 0.6308 0.80342 0.208 0.656 0.000 0.136
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 1 0.4585 0.44510 0.668 0.000 0.332 0.000
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.4546 0.57211 0.732 0.012 0.256 0.000
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 1 0.3975 0.59220 0.760 0.000 0.240 0.000
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 1 0.2408 0.68923 0.896 0.104 0.000 0.000
#> BE56F908-42DD-4019-A8AC-48884DA788B1 3 0.1716 0.77800 0.064 0.000 0.936 0.000
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 2 0.5916 0.77663 0.072 0.656 0.000 0.272
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 2 0.6036 0.75749 0.072 0.636 0.000 0.292
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 1 0.6695 0.54422 0.616 0.220 0.164 0.000
#> 791D9EB8-42E0-4192-B064-B1126CA14481 2 0.6116 0.82931 0.112 0.668 0.000 0.220
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 3 0.2814 0.78385 0.132 0.000 0.868 0.000
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 1 0.4638 0.65851 0.776 0.044 0.180 0.000
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 4 0.2611 0.81929 0.008 0.096 0.000 0.896
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.3760 0.67911 0.836 0.028 0.136 0.000
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#> BD6DAD3D-2D5F-4560-9A4C-70D8A1D49732 1 0.5421 0.62248 0.724 0.076 0.200 0.000
#> ED86F92E-6B39-4C0C-9A60-870984F53C4D 2 0.6537 0.82789 0.164 0.636 0.000 0.200
#> CD3B289F-FAE1-405F-875F-23C1D2609DFC 1 0.2943 0.70390 0.892 0.076 0.032 0.000
#> D1C0E70B-B2BB-4FE7-8DEC-B50659739BAA 4 0.0817 0.87719 0.000 0.024 0.000 0.976
#> D2417A9C-CBF0-47F6-B20C-FB32AF632A84 4 0.0000 0.88340 0.000 0.000 0.000 1.000
#> EF5618C6-6AFB-4FB5-A32B-7946F18E9736 3 0.4560 0.64306 0.296 0.004 0.700 0.000
#> 36040CAB-FF77-4540-BB44-7961A6A54B29 3 0.3402 0.76661 0.164 0.004 0.832 0.000
#> 3808C3A9-22DA-4DC5-9F51-884A7EF574E6 1 0.4150 0.69236 0.824 0.056 0.120 0.000
#> 24363857-9A33-40D4-8409-C17225570833 1 0.2048 0.69882 0.928 0.064 0.008 0.000
#> A57E6132-9B76-493A-A167-8462263B7CDB 4 0.4365 0.67605 0.028 0.188 0.000 0.784
#> 4C020890-E652-4DE4-B66D-5F6F71405F64 3 0.4998 0.13785 0.488 0.000 0.512 0.000
#> 90C991CD-412E-4318-96E3-EB84B868FE9F 1 0.2473 0.69721 0.908 0.080 0.012 0.000
#> FA8E73EA-649C-43ED-854E-B9472820D1C6 1 0.1807 0.69698 0.940 0.052 0.008 0.000
#> 4D46B5DE-186A-4D35-8E1B-64701C13BC69 3 0.2197 0.78319 0.080 0.004 0.916 0.000
#> D516A82D-2F77-46B2-90F7-30BA5C78AAC8 1 0.2198 0.69773 0.920 0.072 0.008 0.000
#> 1FBD0805-13AE-4A82-8B94-640E1C921262 2 0.5619 0.78782 0.064 0.688 0.000 0.248
#> 264525A9-F7DB-4012-A93B-CF8A7626F125 3 0.4343 0.69207 0.264 0.004 0.732 0.000
#> AFF029D8-FFC9-4AA9-8049-F1E27C743F6F 1 0.4057 0.67754 0.816 0.032 0.152 0.000
#> 5B65768D-0E81-4469-9D69-69B07ED5ACD5 4 0.0000 0.88340 0.000 0.000 0.000 1.000
#> 2CB06CA6-8D1F-4BC7-99BE-66921805B8FD 2 0.6292 0.46507 0.416 0.524 0.000 0.060
#> 956357FB-9AB3-497C-BB55-9D15B486A422 2 0.5710 0.82882 0.100 0.708 0.000 0.192
#> C8F2BAD0-7124-46BF-975C-4B44BE980F93 4 0.6277 -0.38528 0.056 0.468 0.000 0.476
#> E96AE267-3E23-4EA9-93E2-D92558155A17 3 0.6095 0.66870 0.108 0.224 0.668 0.000
#> 1C8DCA5B-965B-485A-83B6-5CBEB2117E47 1 0.4907 0.21448 0.580 0.000 0.420 0.000
#> DEAB79F5-336A-49B4-8046-AEE2F567FE46 2 0.5839 0.82994 0.104 0.696 0.000 0.200
#> 767FE89E-E19F-4F56-A744-CB3C5CCC085B 3 0.2654 0.78480 0.108 0.004 0.888 0.000
#> 7B0BF632-79E5-46B5-AAC8-4A6D5A193449 3 0.2266 0.78305 0.084 0.004 0.912 0.000
#> 9A281EDE-FF96-4E66-AEF4-692BDFA8E99D 2 0.5925 0.76346 0.068 0.648 0.000 0.284
#> B8C2D019-00C9-4E1E-8383-4FE2FFB4D2D7 3 0.6095 0.66870 0.108 0.224 0.668 0.000
#> 39A9B95F-186B-4550-9271-001151B1A626 3 0.4453 0.72310 0.244 0.012 0.744 0.000
#> CAD6E491-88FB-4221-90E9-AC9C68AECCB0 1 0.3978 0.69947 0.836 0.056 0.108 0.000
#> 15EFBC5B-C713-4718-BB6F-0EBBE4D6997F 1 0.4406 0.63690 0.780 0.028 0.192 0.000
#> BBA00038-09B1-461D-9F8E-484890B0D130 3 0.1820 0.75885 0.036 0.020 0.944 0.000
#> 16EBB885-A692-42A6-9027-F6AD769E0ABB 1 0.4322 0.67491 0.804 0.044 0.152 0.000
#> 2D57E24B-97A6-4B85-BC8F-3E02DDC6C460 1 0.4673 0.51003 0.700 0.008 0.292 0.000
#> C6E39F86-9DEF-4BCA-930B-2A3993D18901 2 0.6476 0.81727 0.176 0.644 0.000 0.180
#> 5BE4D8E9-DA18-426F-8AE6-075B15010390 4 0.1118 0.87247 0.000 0.036 0.000 0.964
#> 8E9CAAC7-31D3-473C-821C-2DAD37B44D3A 1 0.5070 0.21462 0.580 0.004 0.416 0.000
#> 368CFCA3-7BAB-4D6D-9AE1-55713A9965C1 3 0.7453 0.48136 0.324 0.192 0.484 0.000
#> 14DB79EF-DE2B-4197-AD32-F657E0655FCD 2 0.6407 0.62304 0.332 0.584 0.000 0.084
#> E73BCFCB-C5FE-4BF2-A236-B9E69711C121 1 0.3919 0.70032 0.840 0.056 0.104 0.000
#> CDAFAFEA-365B-4F25-AEC0-639B6E0CB626 1 0.4134 0.57704 0.740 0.000 0.260 0.000
#> 48A2AAEB-7F60-4284-808E-2058A531B17C 1 0.4522 0.47673 0.680 0.000 0.320 0.000
#> D4276C6F-9F0F-4F74-A85E-1E54272ADDED 1 0.4088 0.59892 0.764 0.004 0.232 0.000
#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 1 0.4122 0.59730 0.760 0.004 0.236 0.000
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 3 0.5097 0.32815 0.428 0.004 0.568 0.000
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 1 0.4978 0.33030 0.612 0.004 0.384 0.000
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 4 0.0336 0.88256 0.000 0.008 0.000 0.992
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 1 0.7322 0.33116 0.572 0.272 0.140 0.016
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 4 0.0000 0.88340 0.000 0.000 0.000 1.000
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 2 0.6608 0.80750 0.204 0.628 0.000 0.168
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 1 0.3577 0.66899 0.832 0.012 0.156 0.000
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 4 0.1637 0.85828 0.000 0.060 0.000 0.940
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 1 0.4804 0.33704 0.616 0.000 0.384 0.000
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 2 0.6327 0.81716 0.124 0.648 0.000 0.228
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 1 0.2921 0.66574 0.860 0.140 0.000 0.000
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 2 0.6339 0.82391 0.148 0.656 0.000 0.196
#> C7997523-47CF-40F0-8803-AB873E38033C 4 0.0000 0.88340 0.000 0.000 0.000 1.000
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 3 0.2197 0.78399 0.080 0.004 0.916 0.000
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 1 0.4745 0.60514 0.756 0.208 0.036 0.000
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 3 0.7506 0.51852 0.288 0.220 0.492 0.000
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 2 0.6300 0.81190 0.108 0.640 0.000 0.252
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 4 0.0817 0.87719 0.000 0.024 0.000 0.976
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 1 0.3383 0.70367 0.872 0.052 0.076 0.000
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 3 0.7453 0.52171 0.300 0.204 0.496 0.000
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 2 0.6116 0.82931 0.112 0.668 0.000 0.220
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 1 0.4799 0.49585 0.704 0.284 0.004 0.008
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 2 0.7444 0.59355 0.360 0.480 0.004 0.156
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 3 0.1820 0.75885 0.036 0.020 0.944 0.000
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 4 0.4857 0.47116 0.016 0.284 0.000 0.700
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 3 0.5155 0.29015 0.468 0.004 0.528 0.000
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 3 0.1356 0.73481 0.008 0.032 0.960 0.000
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 3 0.5097 0.30731 0.428 0.004 0.568 0.000
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 3 0.5097 0.30731 0.428 0.004 0.568 0.000
#> 1DEA6525-5598-4985-9218-D61912C75437 4 0.2611 0.81929 0.008 0.096 0.000 0.896
#> E15EAAB4-0860-4716-9922-667F604CDF12 1 0.4368 0.55462 0.748 0.244 0.004 0.004
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 4 0.4323 0.68249 0.028 0.184 0.000 0.788
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 1 0.4535 0.52029 0.704 0.004 0.292 0.000
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 2 0.6726 0.70964 0.292 0.584 0.000 0.124
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.5035 0.63315 0.744 0.052 0.204 0.000
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 1 0.4647 0.54152 0.704 0.008 0.288 0.000
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 1 0.2530 0.69241 0.896 0.100 0.004 0.000
#> E2A4C651-977F-4F40-B5EC-46DF75944141 4 0.0000 0.88340 0.000 0.000 0.000 1.000
#> 433599CC-9DF5-4494-A607-8079FFE74D95 3 0.1743 0.77491 0.056 0.004 0.940 0.000
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 1 0.4907 0.21705 0.580 0.000 0.420 0.000
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 3 0.2466 0.78610 0.096 0.004 0.900 0.000
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.5119 0.12230 0.556 0.004 0.440 0.000
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 1 0.4158 0.61882 0.768 0.008 0.224 0.000
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 4 0.0000 0.88340 0.000 0.000 0.000 1.000
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.7148 0.60122 0.220 0.220 0.560 0.000
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 3 0.4720 0.62810 0.324 0.004 0.672 0.000
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 3 0.2888 0.78287 0.124 0.004 0.872 0.000
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 1 0.5768 -0.06071 0.516 0.456 0.000 0.028
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 2 0.6338 0.64554 0.316 0.600 0.000 0.084
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 3 0.2255 0.77861 0.068 0.012 0.920 0.000
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 4 0.0336 0.88256 0.000 0.008 0.000 0.992
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 1 0.5447 -0.00522 0.528 0.460 0.008 0.004
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.4364 0.59885 0.764 0.016 0.220 0.000
#> 057B580C-13FD-4185-943C-9DD5266B8554 1 0.4990 0.40074 0.640 0.008 0.352 0.000
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 3 0.3945 0.73380 0.216 0.004 0.780 0.000
#> 287F3696-25CF-4E67-A934-E50856AD4790 1 0.4540 0.64781 0.772 0.032 0.196 0.000
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 1 0.4364 0.60452 0.764 0.016 0.220 0.000
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 2 0.6281 0.82497 0.128 0.656 0.000 0.216
#> B80A74AB-A264-4396-93F8-FD976DBC1456 3 0.2266 0.78377 0.084 0.004 0.912 0.000
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 3 0.4741 0.55435 0.328 0.004 0.668 0.000
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.3787 0.69919 0.840 0.124 0.036 0.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.4647 0.53149 0.704 0.008 0.288 0.000
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 1 0.5269 0.37303 0.620 0.016 0.364 0.000
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 1 0.4647 0.49774 0.704 0.288 0.008 0.000
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.5925 0.76346 0.068 0.648 0.000 0.284
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 4 0.0336 0.88256 0.000 0.008 0.000 0.992
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 3 0.2466 0.78620 0.096 0.004 0.900 0.000
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 1 0.3763 0.68088 0.832 0.024 0.144 0.000
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 2 0.5929 0.83079 0.108 0.688 0.000 0.204
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.6116 0.82931 0.112 0.668 0.000 0.220
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 3 0.4535 0.64424 0.292 0.004 0.704 0.000
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 1 0.3525 0.70476 0.860 0.100 0.040 0.000
#> DD292494-92A2-43CB-B59B-726B2F429B29 3 0.2831 0.78702 0.120 0.004 0.876 0.000
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 4 0.5343 0.31719 0.028 0.316 0.000 0.656
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 1 0.3300 0.67284 0.848 0.008 0.144 0.000
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 1 0.4594 0.53846 0.712 0.008 0.280 0.000
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 4 0.0000 0.88340 0.000 0.000 0.000 1.000
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 3 0.3306 0.76878 0.156 0.004 0.840 0.000
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.7671 -0.15525 0.456 0.244 0.300 0.000
#> 74CF740D-201D-4070-99B9-F007E7C4D472 4 0.0000 0.88340 0.000 0.000 0.000 1.000
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 2 0.5949 0.75897 0.068 0.644 0.000 0.288
#> 78F28873-E471-497A-9405-FB8955808599 1 0.4155 0.57333 0.756 0.240 0.004 0.000
#> 29294D9A-434B-4581-9591-63D16107C7B1 3 0.3024 0.77954 0.148 0.000 0.852 0.000
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 1 0.2473 0.69721 0.908 0.080 0.012 0.000
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 2 0.6222 0.75642 0.080 0.616 0.000 0.304
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.4783 8.02e-01 0.000 0.100 0.724 0.176 0.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 4 0.5684 6.09e-01 0.056 0.088 0.156 0.700 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 2 0.4956 5.87e-01 0.000 0.636 0.048 0.316 0.000
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 4 0.5431 8.44e-05 0.004 0.448 0.048 0.500 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 4 0.5695 3.30e-01 0.356 0.004 0.080 0.560 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.3647 8.10e-01 0.840 0.000 0.028 0.032 0.100
#> 966A3A03-3879-4816-A1E9-D805F6018836 4 0.5443 3.78e-01 0.000 0.312 0.084 0.604 0.000
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 5 0.0000 8.95e-01 0.000 0.000 0.000 0.000 1.000
#> 18971368-40F0-42D3-B1A3-707850C53B18 5 0.0000 8.95e-01 0.000 0.000 0.000 0.000 1.000
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 1 0.3752 7.57e-01 0.788 0.004 0.008 0.008 0.192
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 1 0.3834 8.08e-01 0.812 0.000 0.012 0.036 0.140
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 1 0.4237 7.98e-01 0.796 0.004 0.012 0.052 0.136
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 5 0.2561 8.14e-01 0.144 0.000 0.000 0.000 0.856
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 4 0.4389 6.40e-01 0.084 0.012 0.120 0.784 0.000
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 5 0.0000 8.95e-01 0.000 0.000 0.000 0.000 1.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 2 0.2464 7.28e-01 0.004 0.904 0.044 0.048 0.000
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 1 0.3989 8.12e-01 0.820 0.004 0.012 0.060 0.104
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 1 0.3652 8.08e-01 0.832 0.004 0.008 0.036 0.120
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 4 0.5282 6.00e-01 0.148 0.008 0.144 0.700 0.000
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 5 0.4849 8.52e-02 0.432 0.000 0.004 0.016 0.548
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 1 0.4209 7.21e-01 0.732 0.000 0.008 0.016 0.244
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 4 0.3831 6.92e-01 0.020 0.072 0.076 0.832 0.000
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 5 0.2020 8.56e-01 0.100 0.000 0.000 0.000 0.900
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 3 0.4638 6.96e-01 0.008 0.048 0.728 0.216 0.000
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 4 0.4627 6.00e-01 0.000 0.188 0.080 0.732 0.000
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 4 0.5159 5.91e-01 0.156 0.004 0.136 0.704 0.000
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#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 2 0.4132 6.89e-01 0.004 0.760 0.032 0.204 0.000
#> 287F3696-25CF-4E67-A934-E50856AD4790 4 0.4795 6.56e-01 0.012 0.120 0.116 0.752 0.000
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 4 0.4790 6.29e-01 0.012 0.108 0.128 0.752 0.000
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 1 0.4212 8.08e-01 0.792 0.000 0.012 0.060 0.136
#> B80A74AB-A264-4396-93F8-FD976DBC1456 2 0.2913 7.44e-01 0.004 0.876 0.040 0.080 0.000
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.4602 5.61e-01 0.000 0.656 0.028 0.316 0.000
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 4 0.4636 6.60e-01 0.092 0.024 0.108 0.776 0.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 4 0.5219 5.70e-01 0.012 0.208 0.084 0.696 0.000
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 4 0.5587 4.39e-01 0.012 0.296 0.072 0.620 0.000
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 4 0.6415 4.07e-01 0.296 0.012 0.152 0.540 0.000
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 1 0.3681 7.63e-01 0.796 0.004 0.008 0.008 0.184
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 5 0.0880 8.90e-01 0.032 0.000 0.000 0.000 0.968
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 2 0.2482 7.46e-01 0.000 0.892 0.024 0.084 0.000
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 4 0.4563 6.80e-01 0.028 0.104 0.084 0.784 0.000
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.3647 8.10e-01 0.840 0.000 0.028 0.032 0.100
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 1 0.3620 8.08e-01 0.828 0.000 0.012 0.032 0.128
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 2 0.5008 5.81e-01 0.000 0.644 0.056 0.300 0.000
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 4 0.4201 6.75e-01 0.072 0.024 0.096 0.808 0.000
#> DD292494-92A2-43CB-B59B-726B2F429B29 2 0.3386 7.48e-01 0.000 0.832 0.040 0.128 0.000
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 5 0.4182 2.76e-01 0.400 0.000 0.000 0.000 0.600
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 4 0.3427 6.81e-01 0.000 0.108 0.056 0.836 0.000
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 4 0.4901 5.91e-01 0.004 0.196 0.084 0.716 0.000
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 5 0.0000 8.95e-01 0.000 0.000 0.000 0.000 1.000
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 2 0.3241 7.33e-01 0.000 0.832 0.024 0.144 0.000
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 3 0.4638 6.96e-01 0.008 0.048 0.728 0.216 0.000
#> 74CF740D-201D-4070-99B9-F007E7C4D472 5 0.0000 8.95e-01 0.000 0.000 0.000 0.000 1.000
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 1 0.3717 7.60e-01 0.792 0.004 0.008 0.008 0.188
#> 78F28873-E471-497A-9405-FB8955808599 4 0.5737 4.98e-01 0.252 0.008 0.112 0.628 0.000
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.3615 7.41e-01 0.000 0.808 0.036 0.156 0.000
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 4 0.3556 6.61e-01 0.044 0.012 0.104 0.840 0.000
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 1 0.3972 7.50e-01 0.764 0.000 0.008 0.016 0.212
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.3108 0.79362 0.000 0.000 0.828 0.128 0.044 0.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 4 0.4744 0.59111 0.044 0.032 0.104 0.764 0.056 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 5 0.4717 0.57318 0.000 0.032 0.012 0.372 0.584 0.000
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 4 0.4877 0.09249 0.004 0.012 0.028 0.536 0.420 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 4 0.6602 -0.12385 0.324 0.236 0.024 0.412 0.004 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.2999 0.75808 0.868 0.056 0.008 0.012 0.000 0.056
#> 966A3A03-3879-4816-A1E9-D805F6018836 4 0.3969 0.42112 0.000 0.012 0.012 0.700 0.276 0.000
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 6 0.0000 0.88571 0.000 0.000 0.000 0.000 0.000 1.000
#> 18971368-40F0-42D3-B1A3-707850C53B18 6 0.0000 0.88571 0.000 0.000 0.000 0.000 0.000 1.000
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 1 0.3555 0.72736 0.804 0.028 0.012 0.000 0.004 0.152
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 1 0.3366 0.76079 0.844 0.048 0.012 0.012 0.000 0.084
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 1 0.4203 0.73411 0.792 0.080 0.012 0.016 0.004 0.096
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 6 0.2454 0.80356 0.160 0.000 0.000 0.000 0.000 0.840
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 4 0.5158 0.38900 0.060 0.288 0.016 0.628 0.008 0.000
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 6 0.0000 0.88571 0.000 0.000 0.000 0.000 0.000 1.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 5 0.2279 0.74667 0.000 0.016 0.024 0.056 0.904 0.000
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 1 0.3725 0.75371 0.828 0.068 0.008 0.020 0.004 0.072
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 1 0.3024 0.75966 0.864 0.032 0.004 0.012 0.004 0.084
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 4 0.5616 0.29423 0.124 0.304 0.008 0.560 0.004 0.000
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 6 0.4255 0.07396 0.476 0.004 0.004 0.004 0.000 0.512
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 1 0.3620 0.69766 0.772 0.016 0.008 0.004 0.000 0.200
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 4 0.4149 0.61711 0.012 0.144 0.012 0.776 0.056 0.000
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 6 0.2003 0.84413 0.116 0.000 0.000 0.000 0.000 0.884
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 3 0.4469 0.60106 0.000 0.172 0.728 0.088 0.012 0.000
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 4 0.3257 0.62562 0.000 0.012 0.020 0.816 0.152 0.000
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 4 0.5811 0.20221 0.128 0.328 0.012 0.528 0.004 0.000
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 4 0.5367 -0.03397 0.004 0.036 0.036 0.540 0.384 0.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 4 0.3622 0.62656 0.024 0.104 0.020 0.828 0.024 0.000
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 6 0.0000 0.88571 0.000 0.000 0.000 0.000 0.000 1.000
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 5 0.3883 0.74800 0.000 0.020 0.024 0.196 0.760 0.000
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 1 0.4236 0.72490 0.804 0.084 0.024 0.052 0.004 0.032
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 4 0.3878 0.53607 0.000 0.008 0.032 0.748 0.212 0.000
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 4 0.3525 0.63086 0.004 0.016 0.032 0.816 0.132 0.000
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 4 0.2699 0.63134 0.000 0.012 0.008 0.856 0.124 0.000
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 4 0.4792 0.43729 0.076 0.240 0.012 0.672 0.000 0.000
#> BE56F908-42DD-4019-A8AC-48884DA788B1 5 0.3210 0.74595 0.000 0.048 0.032 0.068 0.852 0.000
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 1 0.3360 0.73870 0.824 0.028 0.012 0.000 0.004 0.132
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 1 0.3646 0.72758 0.800 0.028 0.016 0.000 0.004 0.152
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 4 0.6436 0.29336 0.084 0.120 0.188 0.592 0.016 0.000
#> 791D9EB8-42E0-4192-B064-B1126CA14481 1 0.2867 0.76187 0.876 0.032 0.008 0.016 0.000 0.068
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 5 0.3282 0.76999 0.000 0.012 0.016 0.164 0.808 0.000
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 4 0.3615 0.63783 0.012 0.072 0.012 0.828 0.076 0.000
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 6 0.2454 0.80356 0.160 0.000 0.000 0.000 0.000 0.840
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 4 0.3886 0.64151 0.016 0.076 0.032 0.820 0.056 0.000
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 3 0.4355 0.60253 0.000 0.176 0.736 0.076 0.012 0.000
#> D47C7B74-BB01-4614-B683-652F7130729C 5 0.3447 0.76919 0.000 0.012 0.024 0.164 0.800 0.000
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 1 0.3017 0.76031 0.872 0.020 0.012 0.020 0.004 0.072
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 4 0.3458 0.59234 0.012 0.168 0.004 0.800 0.016 0.000
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 4 0.4703 0.61801 0.056 0.084 0.036 0.772 0.052 0.000
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 4 0.4076 0.26406 0.000 0.004 0.012 0.636 0.348 0.000
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 4 0.4682 0.48280 0.064 0.240 0.008 0.684 0.004 0.000
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 4 0.5912 0.16216 0.140 0.332 0.012 0.512 0.004 0.000
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 1 0.4809 0.70437 0.732 0.156 0.016 0.012 0.004 0.080
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 5 0.3630 0.75880 0.000 0.024 0.024 0.156 0.796 0.000
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 3 0.5201 0.61030 0.000 0.004 0.608 0.268 0.120 0.000
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 4 0.3773 0.63150 0.016 0.108 0.016 0.816 0.044 0.000
#> 58F11B66-AE40-417E-B465-811C6CF7311C 4 0.5284 0.34851 0.096 0.296 0.012 0.596 0.000 0.000
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 6 0.4222 0.06470 0.472 0.008 0.004 0.000 0.000 0.516
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 5 0.4029 0.63990 0.000 0.096 0.080 0.032 0.792 0.000
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 4 0.2711 0.63164 0.000 0.012 0.012 0.860 0.116 0.000
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 1 0.3969 0.74027 0.804 0.084 0.012 0.008 0.004 0.088
#> 739952C6-FF36-4E34-B881-E02FE17C4012 6 0.1410 0.87758 0.044 0.004 0.008 0.000 0.000 0.944
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 6 0.0000 0.88571 0.000 0.000 0.000 0.000 0.000 1.000
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 4 0.3221 0.55001 0.000 0.004 0.004 0.772 0.220 0.000
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 1 0.2707 0.75494 0.884 0.044 0.008 0.008 0.000 0.056
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 4 0.5288 0.36760 0.084 0.320 0.004 0.584 0.008 0.000
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 1 0.4275 0.70478 0.756 0.012 0.004 0.072 0.000 0.156
#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 4 0.6217 0.04102 0.236 0.300 0.012 0.452 0.000 0.000
#> F6B26185-139B-47A7-91EC-E885D94AC882 1 0.2707 0.75494 0.884 0.044 0.008 0.008 0.000 0.056
#> 81F30B6F-3E9A-4913-986B-C56D5F107A17 6 0.2048 0.84382 0.120 0.000 0.000 0.000 0.000 0.880
#> 2CCB3AE1-0D27-4493-B7AE-67C60BBC1C38 5 0.2508 0.75756 0.000 0.016 0.016 0.084 0.884 0.000
#> 329665BC-B959-47C5-B831-5546F94EDAC1 6 0.0000 0.88571 0.000 0.000 0.000 0.000 0.000 1.000
#> 8D4335F6-6ACB-4E38-B9F2-A2B5B647AE90 1 0.4604 0.65299 0.764 0.044 0.020 0.136 0.004 0.032
#> D181D0D8-FD8C-4259-9B34-97224CF27E1B 1 0.4805 0.62336 0.732 0.160 0.020 0.068 0.000 0.020
#> C0C10950-ABC5-4125-A33E-5AFA2D2574B0 4 0.3981 0.59816 0.004 0.164 0.036 0.776 0.020 0.000
#> 834D12DB-0925-422C-B15B-20A60A5F658C 1 0.3001 0.75250 0.872 0.056 0.008 0.024 0.000 0.040
#> 50314689-519F-4B27-884C-7816DD64CF4E 4 0.3312 0.64192 0.008 0.020 0.040 0.848 0.084 0.000
#> 2502A23E-E168-4A78-9C14-B93FBC9715B1 1 0.2975 0.75706 0.860 0.040 0.008 0.004 0.000 0.088
#> 3F8D01A3-5449-48A1-BDBA-BFE4D908AE31 5 0.4991 0.28381 0.000 0.024 0.028 0.436 0.512 0.000
#> 1C47A87B-C033-4705-B903-DB33B8C6EC34 4 0.6163 -0.10199 0.404 0.140 0.020 0.432 0.004 0.000
#> 1329E1C1-743E-4541-9081-165572D4BF47 4 0.2500 0.62847 0.000 0.004 0.012 0.868 0.116 0.000
#> 1F3F8680-EEB6-4532-B81D-51957D1EA502 1 0.4528 0.46224 0.624 0.024 0.008 0.000 0.004 0.340
#> 50F69785-8B7A-4933-85B1-8DC539ACC72A 6 0.0000 0.88571 0.000 0.000 0.000 0.000 0.000 1.000
#> 9095FDD8-EEB2-4B17-85AB-3CDAC0BEC759 4 0.4200 0.58839 0.028 0.164 0.012 0.768 0.028 0.000
#> B6BF8C22-03E4-44F0-B2EF-2A3DD6ADE7D7 1 0.4495 0.51923 0.648 0.028 0.008 0.000 0.004 0.312
#> D6A907FC-3A1B-4E3B-A440-1CE9BE9B334B 5 0.3299 0.74627 0.000 0.028 0.048 0.080 0.844 0.000
#> 02588D5D-89CB-4D0B-9E96-A0270C3FF866 1 0.6472 -0.20075 0.400 0.260 0.020 0.320 0.000 0.000
#> D50BBFC7-7774-4B12-938C-8D5373C12DFC 5 0.3408 0.76778 0.000 0.036 0.024 0.112 0.828 0.000
#> 6E930060-502B-49F5-A385-9B91DEBD05E4 4 0.5616 0.29423 0.124 0.304 0.008 0.560 0.004 0.000
#> F6606A8E-ACC6-4826-9547-E0017521724D 1 0.3197 0.71646 0.804 0.008 0.012 0.000 0.000 0.176
#> 981584D3-10DB-455C-8132-E8E5F44E1222 1 0.3839 0.70764 0.776 0.032 0.012 0.000 0.004 0.176
#> 47F6E197-7164-4289-95B5-8FD305A13B4C 6 0.0000 0.88571 0.000 0.000 0.000 0.000 0.000 1.000
#> 4522D871-9379-4643-B15E-9ACB556276C4 4 0.5701 0.38215 0.092 0.288 0.020 0.588 0.012 0.000
#> 7560B2B5-6AF5-4600-9F0A-BE25CF99B6B9 6 0.3111 0.80400 0.156 0.008 0.016 0.000 0.000 0.820
#> 38F5957E-0A99-432D-8F0B-B48E03F17668 1 0.6189 -0.10402 0.424 0.144 0.020 0.408 0.004 0.000
#> 7A6BBBE6-2B3B-44EB-A101-C823739AB24F 4 0.4275 0.45430 0.020 0.276 0.012 0.688 0.004 0.000
#> 0782D25A-3B14-499E-A40C-3852B3A15B8B 5 0.3972 0.62419 0.000 0.004 0.012 0.320 0.664 0.000
#> 31D4B639-D1E5-479B-AEC2-34F758F2E470 6 0.0000 0.88571 0.000 0.000 0.000 0.000 0.000 1.000
#> C49078E1-E730-4E81-8EAE-5AAAB9FA1BF5 1 0.5972 0.26537 0.568 0.208 0.020 0.200 0.000 0.004
#> 48BCD3B8-917F-4E8F-BCEA-1363570A6486 1 0.3277 0.74897 0.832 0.028 0.012 0.004 0.000 0.124
#> F3BA6259-9F68-47D0-ABDD-1272AE112CAB 4 0.2877 0.62647 0.000 0.020 0.008 0.848 0.124 0.000
#> 3CA49BB1-30F6-47F3-A751-D5601E16BDBA 1 0.2867 0.76187 0.876 0.032 0.008 0.016 0.000 0.068
#> 47747595-686A-46B5-9EF4-A4CFB85D746D 3 0.4373 0.60573 0.000 0.172 0.736 0.080 0.012 0.000
#> 87974EFF-C2DE-4930-93E3-015E6D996440 5 0.4274 0.68643 0.000 0.012 0.024 0.288 0.676 0.000
#> 7D272E6C-826D-4D02-8383-6A3D5BBF3A5F 3 0.3108 0.79362 0.000 0.000 0.828 0.128 0.044 0.000
#> 070E540B-34DB-4016-B573-84924407F57F 1 0.3642 0.75876 0.828 0.040 0.012 0.024 0.000 0.096
#> 63F4281A-4D90-4589-879E-549097FB3459 6 0.1485 0.87555 0.024 0.004 0.028 0.000 0.000 0.944
#> 93A66EA0-0C74-4342-8140-72ECB01F99A1 1 0.3175 0.76265 0.864 0.032 0.020 0.020 0.000 0.064
#> C92AD683-FD09-4DD2-A5A5-C72EA5DD9B46 4 0.3319 0.64290 0.012 0.020 0.044 0.852 0.072 0.000
#> 38D2BE9E-15D4-47BC-8FEB-55310F23825B 4 0.4275 0.57101 0.020 0.192 0.004 0.744 0.040 0.000
#> B3029936-1EEF-4378-AA28-D5B2A32CDC86 1 0.4273 0.45229 0.628 0.012 0.012 0.000 0.000 0.348
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#> BBA00038-09B1-461D-9F8E-484890B0D130 5 0.4029 0.64152 0.000 0.096 0.080 0.032 0.792 0.000
#> 16EBB885-A692-42A6-9027-F6AD769E0ABB 4 0.3511 0.64092 0.020 0.072 0.024 0.844 0.040 0.000
#> 2D57E24B-97A6-4B85-BC8F-3E02DDC6C460 4 0.4229 0.57730 0.000 0.028 0.044 0.752 0.176 0.000
#> C6E39F86-9DEF-4BCA-930B-2A3993D18901 1 0.4316 0.72793 0.776 0.124 0.012 0.012 0.004 0.072
#> 5BE4D8E9-DA18-426F-8AE6-075B15010390 6 0.1556 0.86504 0.080 0.000 0.000 0.000 0.000 0.920
#> 8E9CAAC7-31D3-473C-821C-2DAD37B44D3A 4 0.4113 0.36773 0.000 0.008 0.016 0.668 0.308 0.000
#> 368CFCA3-7BAB-4D6D-9AE1-55713A9965C1 3 0.5201 0.61030 0.000 0.004 0.608 0.268 0.120 0.000
#> 14DB79EF-DE2B-4197-AD32-F657E0655FCD 1 0.5562 0.51782 0.672 0.120 0.020 0.164 0.004 0.020
#> E73BCFCB-C5FE-4BF2-A236-B9E69711C121 4 0.4718 0.61247 0.044 0.140 0.024 0.752 0.040 0.000
#> CDAFAFEA-365B-4F25-AEC0-639B6E0CB626 4 0.3649 0.62127 0.000 0.036 0.016 0.796 0.152 0.000
#> 48A2AAEB-7F60-4284-808E-2058A531B17C 4 0.3457 0.56939 0.000 0.012 0.012 0.780 0.196 0.000
#> D4276C6F-9F0F-4F74-A85E-1E54272ADDED 4 0.2666 0.63327 0.000 0.012 0.012 0.864 0.112 0.000
#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 4 0.2566 0.63039 0.000 0.012 0.008 0.868 0.112 0.000
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 4 0.4580 -0.18259 0.000 0.012 0.016 0.488 0.484 0.000
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 4 0.4521 0.46159 0.004 0.012 0.036 0.680 0.268 0.000
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 6 0.1152 0.87846 0.044 0.004 0.000 0.000 0.000 0.952
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 3 0.7117 0.17649 0.112 0.204 0.504 0.168 0.008 0.004
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 6 0.0000 0.88571 0.000 0.000 0.000 0.000 0.000 1.000
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 1 0.3858 0.72546 0.820 0.036 0.012 0.080 0.000 0.052
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 4 0.4164 0.64513 0.016 0.092 0.012 0.788 0.092 0.000
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 6 0.2584 0.82142 0.144 0.004 0.004 0.000 0.000 0.848
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 4 0.4395 0.44521 0.000 0.028 0.016 0.676 0.280 0.000
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 1 0.4295 0.73301 0.784 0.080 0.012 0.016 0.004 0.104
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 4 0.5187 0.39092 0.092 0.264 0.016 0.628 0.000 0.000
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 1 0.4380 0.73238 0.784 0.092 0.016 0.020 0.004 0.084
#> C7997523-47CF-40F0-8803-AB873E38033C 6 0.0146 0.88500 0.000 0.000 0.004 0.000 0.000 0.996
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 5 0.3408 0.76778 0.000 0.036 0.024 0.112 0.828 0.000
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 2 0.5087 0.87187 0.056 0.664 0.016 0.248 0.016 0.000
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 3 0.3689 0.79774 0.000 0.004 0.792 0.136 0.068 0.000
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 1 0.3211 0.76125 0.844 0.012 0.008 0.028 0.000 0.108
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 6 0.1485 0.87555 0.024 0.004 0.028 0.000 0.000 0.944
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 4 0.3458 0.59234 0.012 0.168 0.004 0.800 0.016 0.000
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 3 0.4817 0.71488 0.000 0.004 0.676 0.200 0.120 0.000
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 1 0.2867 0.76187 0.876 0.032 0.008 0.016 0.000 0.068
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 4 0.6063 0.05224 0.244 0.300 0.004 0.452 0.000 0.000
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.6130 0.41607 0.596 0.220 0.004 0.124 0.004 0.052
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 5 0.4029 0.64152 0.000 0.096 0.080 0.032 0.792 0.000
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 6 0.4490 0.38059 0.372 0.008 0.024 0.000 0.000 0.596
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 4 0.5082 -0.10723 0.000 0.020 0.040 0.524 0.416 0.000
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 5 0.4600 0.49673 0.032 0.152 0.080 0.000 0.736 0.000
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 5 0.4308 0.21562 0.000 0.004 0.012 0.468 0.516 0.000
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 5 0.4310 0.20274 0.000 0.004 0.012 0.472 0.512 0.000
#> 1DEA6525-5598-4985-9218-D61912C75437 6 0.2454 0.80356 0.160 0.000 0.000 0.000 0.000 0.840
#> E15EAAB4-0860-4716-9922-667F604CDF12 4 0.5773 0.15711 0.164 0.340 0.004 0.492 0.000 0.000
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 6 0.3996 0.70784 0.212 0.012 0.020 0.008 0.000 0.748
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 4 0.3526 0.59744 0.004 0.004 0.028 0.792 0.172 0.000
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 1 0.5144 0.58404 0.704 0.124 0.020 0.136 0.000 0.016
#> F37E118C-1066-4A84-B190-B9B78E265D94 4 0.4219 0.62533 0.040 0.032 0.048 0.804 0.076 0.000
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 4 0.3997 0.58345 0.000 0.044 0.004 0.736 0.216 0.000
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 4 0.4661 0.32603 0.028 0.360 0.008 0.600 0.004 0.000
#> E2A4C651-977F-4F40-B5EC-46DF75944141 6 0.0508 0.88491 0.012 0.004 0.000 0.000 0.000 0.984
#> 433599CC-9DF5-4494-A607-8079FFE74D95 5 0.3239 0.72408 0.000 0.056 0.040 0.052 0.852 0.000
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 4 0.4554 0.37296 0.000 0.028 0.016 0.640 0.316 0.000
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 5 0.3110 0.76720 0.000 0.016 0.020 0.128 0.836 0.000
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 4 0.4649 0.29792 0.004 0.012 0.028 0.628 0.328 0.000
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 4 0.3397 0.64400 0.000 0.032 0.032 0.832 0.104 0.000
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 6 0.0508 0.88491 0.012 0.004 0.000 0.000 0.000 0.984
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.4162 0.79062 0.000 0.004 0.752 0.100 0.144 0.000
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 5 0.4931 0.54946 0.000 0.020 0.036 0.368 0.576 0.000
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 5 0.3743 0.76033 0.000 0.032 0.024 0.152 0.792 0.000
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 1 0.6334 -0.00892 0.480 0.200 0.020 0.296 0.000 0.004
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 1 0.5361 0.53985 0.688 0.108 0.016 0.164 0.004 0.020
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 5 0.3299 0.74627 0.000 0.028 0.048 0.080 0.844 0.000
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 6 0.1644 0.87393 0.052 0.004 0.012 0.000 0.000 0.932
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 2 0.5421 0.42484 0.308 0.588 0.016 0.084 0.004 0.000
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 4 0.3050 0.63542 0.012 0.000 0.044 0.852 0.092 0.000
#> 057B580C-13FD-4185-943C-9DD5266B8554 4 0.4499 0.50418 0.004 0.020 0.040 0.712 0.224 0.000
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 5 0.4557 0.71042 0.004 0.036 0.020 0.244 0.696 0.000
#> 287F3696-25CF-4E67-A934-E50856AD4790 4 0.4573 0.61679 0.000 0.092 0.060 0.756 0.092 0.000
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 4 0.3510 0.63224 0.012 0.004 0.084 0.828 0.072 0.000
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 1 0.3642 0.75876 0.828 0.040 0.012 0.024 0.000 0.096
#> B80A74AB-A264-4396-93F8-FD976DBC1456 5 0.2796 0.76247 0.000 0.020 0.016 0.100 0.864 0.000
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 5 0.4252 0.53466 0.000 0.008 0.016 0.344 0.632 0.000
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 4 0.5238 0.48904 0.072 0.224 0.020 0.668 0.016 0.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 4 0.3811 0.60119 0.012 0.008 0.032 0.788 0.160 0.000
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 4 0.4389 0.49387 0.012 0.004 0.032 0.696 0.256 0.000
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 2 0.5188 0.84971 0.112 0.672 0.020 0.192 0.004 0.000
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 1 0.3479 0.73346 0.812 0.028 0.012 0.000 0.004 0.144
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 6 0.1152 0.87846 0.044 0.004 0.000 0.000 0.000 0.952
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 5 0.3127 0.76520 0.000 0.040 0.012 0.104 0.844 0.000
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 4 0.4281 0.61484 0.012 0.140 0.004 0.760 0.084 0.000
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.2999 0.75808 0.868 0.056 0.008 0.012 0.000 0.056
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 1 0.2867 0.76187 0.876 0.032 0.008 0.016 0.000 0.068
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 5 0.4358 0.58848 0.000 0.012 0.016 0.348 0.624 0.000
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 4 0.5217 0.51698 0.064 0.212 0.024 0.680 0.020 0.000
#> DD292494-92A2-43CB-B59B-726B2F429B29 5 0.3734 0.77022 0.000 0.040 0.012 0.164 0.784 0.000
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 6 0.4158 0.26786 0.416 0.008 0.004 0.000 0.000 0.572
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 4 0.3748 0.63677 0.000 0.112 0.004 0.792 0.092 0.000
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 4 0.3493 0.61671 0.004 0.008 0.032 0.808 0.148 0.000
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 6 0.0000 0.88571 0.000 0.000 0.000 0.000 0.000 1.000
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 5 0.3791 0.74922 0.000 0.036 0.016 0.168 0.780 0.000
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 3 0.4469 0.60106 0.000 0.172 0.728 0.088 0.012 0.000
#> 74CF740D-201D-4070-99B9-F007E7C4D472 6 0.0000 0.88571 0.000 0.000 0.000 0.000 0.000 1.000
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 1 0.3518 0.72991 0.808 0.028 0.012 0.000 0.004 0.148
#> 78F28873-E471-497A-9405-FB8955808599 2 0.5526 0.77691 0.112 0.588 0.012 0.284 0.004 0.000
#> 29294D9A-434B-4581-9591-63D16107C7B1 5 0.3394 0.76436 0.000 0.012 0.012 0.188 0.788 0.000
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 4 0.4457 0.43054 0.012 0.308 0.012 0.656 0.012 0.000
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 1 0.3690 0.71955 0.784 0.024 0.012 0.004 0.000 0.176
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 17397 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'ATC' method.
#> Subgroups are detected by 'kmeans' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.986 0.994 0.4491 0.552 0.552
#> 3 3 0.775 0.853 0.917 0.3948 0.683 0.488
#> 4 4 0.600 0.691 0.792 0.1292 0.750 0.439
#> 5 5 0.670 0.683 0.761 0.0811 0.915 0.720
#> 6 6 0.707 0.699 0.820 0.0580 0.886 0.588
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
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 2 0.0000 0.9955 0.000 1.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 2 0.0000 0.9955 0.000 1.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 2 0.0000 0.9955 0.000 1.000
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 2 0.0000 0.9955 0.000 1.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.0000 0.9920 1.000 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.0000 0.9920 1.000 0.000
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.0000 0.9955 0.000 1.000
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 1 0.0000 0.9920 1.000 0.000
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.0000 0.9920 1.000 0.000
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#> 956357FB-9AB3-497C-BB55-9D15B486A422 1 0.0000 0.9920 1.000 0.000
#> C8F2BAD0-7124-46BF-975C-4B44BE980F93 1 0.0000 0.9920 1.000 0.000
#> E96AE267-3E23-4EA9-93E2-D92558155A17 2 0.0000 0.9955 0.000 1.000
#> 1C8DCA5B-965B-485A-83B6-5CBEB2117E47 2 0.0000 0.9955 0.000 1.000
#> DEAB79F5-336A-49B4-8046-AEE2F567FE46 1 0.0000 0.9920 1.000 0.000
#> 767FE89E-E19F-4F56-A744-CB3C5CCC085B 2 0.0000 0.9955 0.000 1.000
#> 7B0BF632-79E5-46B5-AAC8-4A6D5A193449 2 0.0000 0.9955 0.000 1.000
#> 9A281EDE-FF96-4E66-AEF4-692BDFA8E99D 1 0.0000 0.9920 1.000 0.000
#> B8C2D019-00C9-4E1E-8383-4FE2FFB4D2D7 2 0.0000 0.9955 0.000 1.000
#> 39A9B95F-186B-4550-9271-001151B1A626 2 0.0000 0.9955 0.000 1.000
#> CAD6E491-88FB-4221-90E9-AC9C68AECCB0 2 0.0000 0.9955 0.000 1.000
#> 15EFBC5B-C713-4718-BB6F-0EBBE4D6997F 2 0.0000 0.9955 0.000 1.000
#> BBA00038-09B1-461D-9F8E-484890B0D130 2 0.0000 0.9955 0.000 1.000
#> 16EBB885-A692-42A6-9027-F6AD769E0ABB 2 0.0000 0.9955 0.000 1.000
#> 2D57E24B-97A6-4B85-BC8F-3E02DDC6C460 2 0.0000 0.9955 0.000 1.000
#> C6E39F86-9DEF-4BCA-930B-2A3993D18901 1 0.0000 0.9920 1.000 0.000
#> 5BE4D8E9-DA18-426F-8AE6-075B15010390 1 0.0000 0.9920 1.000 0.000
#> 8E9CAAC7-31D3-473C-821C-2DAD37B44D3A 2 0.0000 0.9955 0.000 1.000
#> 368CFCA3-7BAB-4D6D-9AE1-55713A9965C1 2 0.0000 0.9955 0.000 1.000
#> 14DB79EF-DE2B-4197-AD32-F657E0655FCD 1 0.9988 0.0757 0.520 0.480
#> E73BCFCB-C5FE-4BF2-A236-B9E69711C121 2 0.0000 0.9955 0.000 1.000
#> CDAFAFEA-365B-4F25-AEC0-639B6E0CB626 2 0.0000 0.9955 0.000 1.000
#> 48A2AAEB-7F60-4284-808E-2058A531B17C 2 0.0000 0.9955 0.000 1.000
#> D4276C6F-9F0F-4F74-A85E-1E54272ADDED 2 0.0000 0.9955 0.000 1.000
#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 2 0.0000 0.9955 0.000 1.000
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 2 0.0000 0.9955 0.000 1.000
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 2 0.0000 0.9955 0.000 1.000
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 1 0.0000 0.9920 1.000 0.000
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 2 0.0000 0.9955 0.000 1.000
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 1 0.0000 0.9920 1.000 0.000
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 1 0.9754 0.3136 0.592 0.408
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 2 0.0000 0.9955 0.000 1.000
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 1 0.0000 0.9920 1.000 0.000
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 2 0.0000 0.9955 0.000 1.000
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 1 0.0000 0.9920 1.000 0.000
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 2 0.0000 0.9955 0.000 1.000
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 1 0.0000 0.9920 1.000 0.000
#> C7997523-47CF-40F0-8803-AB873E38033C 1 0.0000 0.9920 1.000 0.000
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 2 0.0000 0.9955 0.000 1.000
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 2 0.0000 0.9955 0.000 1.000
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 2 0.0000 0.9955 0.000 1.000
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 1 0.0000 0.9920 1.000 0.000
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 1 0.0000 0.9920 1.000 0.000
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 2 0.0000 0.9955 0.000 1.000
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 2 0.0000 0.9955 0.000 1.000
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 1 0.0000 0.9920 1.000 0.000
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 1 0.0000 0.9920 1.000 0.000
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.0000 0.9920 1.000 0.000
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 2 0.0000 0.9955 0.000 1.000
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 1 0.0000 0.9920 1.000 0.000
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 2 0.0000 0.9955 0.000 1.000
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 2 0.0000 0.9955 0.000 1.000
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 2 0.0000 0.9955 0.000 1.000
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 2 0.0000 0.9955 0.000 1.000
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.0000 0.9920 1.000 0.000
#> E15EAAB4-0860-4716-9922-667F604CDF12 2 0.0000 0.9955 0.000 1.000
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 1 0.0000 0.9920 1.000 0.000
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 2 0.0000 0.9955 0.000 1.000
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 2 0.6048 0.8260 0.148 0.852
#> F37E118C-1066-4A84-B190-B9B78E265D94 2 0.0000 0.9955 0.000 1.000
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 2 0.0000 0.9955 0.000 1.000
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 2 0.0000 0.9955 0.000 1.000
#> E2A4C651-977F-4F40-B5EC-46DF75944141 1 0.0000 0.9920 1.000 0.000
#> 433599CC-9DF5-4494-A607-8079FFE74D95 2 0.0000 0.9955 0.000 1.000
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 2 0.0000 0.9955 0.000 1.000
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 2 0.0000 0.9955 0.000 1.000
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 2 0.0000 0.9955 0.000 1.000
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 2 0.0000 0.9955 0.000 1.000
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 1 0.0000 0.9920 1.000 0.000
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 2 0.0000 0.9955 0.000 1.000
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 2 0.0000 0.9955 0.000 1.000
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 2 0.0000 0.9955 0.000 1.000
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.3274 0.9338 0.060 0.940
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 1 0.0000 0.9920 1.000 0.000
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.0000 0.9955 0.000 1.000
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.0000 0.9920 1.000 0.000
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 1 0.0000 0.9920 1.000 0.000
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 2 0.0000 0.9955 0.000 1.000
#> 057B580C-13FD-4185-943C-9DD5266B8554 2 0.0000 0.9955 0.000 1.000
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 2 0.0000 0.9955 0.000 1.000
#> 287F3696-25CF-4E67-A934-E50856AD4790 2 0.0000 0.9955 0.000 1.000
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.0000 0.9955 0.000 1.000
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 1 0.0000 0.9920 1.000 0.000
#> B80A74AB-A264-4396-93F8-FD976DBC1456 2 0.0000 0.9955 0.000 1.000
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.0000 0.9955 0.000 1.000
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 2 0.0000 0.9955 0.000 1.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 2 0.0000 0.9955 0.000 1.000
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 2 0.0000 0.9955 0.000 1.000
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 2 0.0000 0.9955 0.000 1.000
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 1 0.0000 0.9920 1.000 0.000
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.0000 0.9920 1.000 0.000
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 2 0.0000 0.9955 0.000 1.000
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.0000 0.9955 0.000 1.000
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.0000 0.9920 1.000 0.000
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 1 0.0000 0.9920 1.000 0.000
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 2 0.0000 0.9955 0.000 1.000
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 2 0.0000 0.9955 0.000 1.000
#> DD292494-92A2-43CB-B59B-726B2F429B29 2 0.0000 0.9955 0.000 1.000
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.0000 0.9920 1.000 0.000
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 2 0.0000 0.9955 0.000 1.000
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 2 0.0000 0.9955 0.000 1.000
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 1 0.0000 0.9920 1.000 0.000
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 2 0.0000 0.9955 0.000 1.000
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 2 0.0000 0.9955 0.000 1.000
#> 74CF740D-201D-4070-99B9-F007E7C4D472 1 0.0000 0.9920 1.000 0.000
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 1 0.0000 0.9920 1.000 0.000
#> 78F28873-E471-497A-9405-FB8955808599 2 0.0000 0.9955 0.000 1.000
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.0000 0.9955 0.000 1.000
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.0000 0.9955 0.000 1.000
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 1 0.0000 0.9920 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.5216 0.67634 0.260 0.000 0.740
#> 5A147DAD-7390-4C90-9921-45CB05066827 3 0.4399 0.81220 0.188 0.000 0.812
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 3 0.1753 0.93187 0.048 0.000 0.952
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 3 0.1529 0.93426 0.040 0.000 0.960
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.1860 0.86513 0.948 0.052 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.2448 0.85479 0.924 0.076 0.000
#> 966A3A03-3879-4816-A1E9-D805F6018836 3 0.1163 0.93549 0.028 0.000 0.972
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.0000 0.97065 0.000 1.000 0.000
#> 18971368-40F0-42D3-B1A3-707850C53B18 2 0.0000 0.97065 0.000 1.000 0.000
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 1 0.3412 0.82564 0.876 0.124 0.000
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 1 0.4504 0.75477 0.804 0.196 0.000
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 1 0.4887 0.71398 0.772 0.228 0.000
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 2 0.0000 0.97065 0.000 1.000 0.000
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 1 0.1860 0.87935 0.948 0.000 0.052
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 2 0.0000 0.97065 0.000 1.000 0.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 3 0.0892 0.91969 0.020 0.000 0.980
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 1 0.2796 0.84737 0.908 0.092 0.000
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 1 0.3412 0.82564 0.876 0.124 0.000
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.1860 0.87935 0.948 0.000 0.052
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 2 0.0000 0.97065 0.000 1.000 0.000
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 2 0.0424 0.96469 0.008 0.992 0.000
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 1 0.5835 0.52491 0.660 0.000 0.340
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 2 0.0000 0.97065 0.000 1.000 0.000
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 3 0.3412 0.90914 0.124 0.000 0.876
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 3 0.1753 0.93187 0.048 0.000 0.952
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 1 0.1860 0.87935 0.948 0.000 0.052
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 3 0.2066 0.92730 0.060 0.000 0.940
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 1 0.6168 0.28130 0.588 0.000 0.412
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.0000 0.97065 0.000 1.000 0.000
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 3 0.0592 0.92380 0.012 0.000 0.988
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 1 0.2796 0.84737 0.908 0.092 0.000
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 3 0.1643 0.93349 0.044 0.000 0.956
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 3 0.2066 0.92730 0.060 0.000 0.940
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 3 0.4062 0.83339 0.164 0.000 0.836
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 1 0.1860 0.87935 0.948 0.000 0.052
#> BE56F908-42DD-4019-A8AC-48884DA788B1 3 0.1163 0.93549 0.028 0.000 0.972
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 1 0.3038 0.83991 0.896 0.104 0.000
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 1 0.3412 0.82564 0.876 0.124 0.000
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 1 0.6295 0.09374 0.528 0.000 0.472
#> 791D9EB8-42E0-4192-B064-B1126CA14481 1 0.6305 0.11962 0.516 0.484 0.000
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 3 0.0000 0.92907 0.000 0.000 1.000
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 3 0.1643 0.93349 0.044 0.000 0.956
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 2 0.0000 0.97065 0.000 1.000 0.000
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.6309 -0.03415 0.504 0.000 0.496
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 1 0.1529 0.84339 0.960 0.000 0.040
#> D47C7B74-BB01-4614-B683-652F7130729C 3 0.0000 0.92907 0.000 0.000 1.000
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 1 0.3267 0.83202 0.884 0.116 0.000
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 1 0.6215 0.22975 0.572 0.000 0.428
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 3 0.6225 0.29318 0.432 0.000 0.568
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 3 0.1163 0.93549 0.028 0.000 0.972
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.1860 0.87935 0.948 0.000 0.052
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 1 0.1860 0.87935 0.948 0.000 0.052
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 1 0.2796 0.84737 0.908 0.092 0.000
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 3 0.0000 0.92907 0.000 0.000 1.000
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 3 0.1964 0.89915 0.056 0.000 0.944
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 3 0.4399 0.80684 0.188 0.000 0.812
#> 58F11B66-AE40-417E-B465-811C6CF7311C 1 0.1860 0.87935 0.948 0.000 0.052
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 2 0.1964 0.92529 0.056 0.944 0.000
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 3 0.1031 0.93517 0.024 0.000 0.976
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 3 0.1964 0.92833 0.056 0.000 0.944
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 1 0.3412 0.82564 0.876 0.124 0.000
#> 739952C6-FF36-4E34-B881-E02FE17C4012 2 0.0000 0.97065 0.000 1.000 0.000
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 2 0.0000 0.97065 0.000 1.000 0.000
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 3 0.1163 0.93549 0.028 0.000 0.972
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 1 0.4504 0.75477 0.804 0.196 0.000
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 1 0.1860 0.87935 0.948 0.000 0.052
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 1 0.3941 0.80099 0.844 0.156 0.000
#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 1 0.1860 0.87935 0.948 0.000 0.052
#> F6B26185-139B-47A7-91EC-E885D94AC882 1 0.4504 0.75477 0.804 0.196 0.000
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#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 3 0.1753 0.93187 0.048 0.000 0.952
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 3 0.1529 0.93426 0.040 0.000 0.960
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 3 0.0000 0.92907 0.000 0.000 1.000
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 2 0.0000 0.97065 0.000 1.000 0.000
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 1 0.1163 0.84840 0.972 0.000 0.028
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 2 0.0000 0.97065 0.000 1.000 0.000
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 1 0.2152 0.87092 0.948 0.036 0.016
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 3 0.5810 0.54761 0.336 0.000 0.664
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 2 0.0000 0.97065 0.000 1.000 0.000
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 3 0.1529 0.93426 0.040 0.000 0.960
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 1 0.5733 0.55763 0.676 0.324 0.000
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 1 0.1860 0.87935 0.948 0.000 0.052
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 1 0.2796 0.84737 0.908 0.092 0.000
#> C7997523-47CF-40F0-8803-AB873E38033C 2 0.0000 0.97065 0.000 1.000 0.000
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 3 0.0000 0.92907 0.000 0.000 1.000
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 3 0.0592 0.92928 0.012 0.000 0.988
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 3 0.1964 0.89915 0.056 0.000 0.944
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 1 0.4605 0.74553 0.796 0.204 0.000
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 2 0.0000 0.97065 0.000 1.000 0.000
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 3 0.5560 0.62386 0.300 0.000 0.700
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 3 0.1964 0.89915 0.056 0.000 0.944
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 2 0.5216 0.63435 0.260 0.740 0.000
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 1 0.1860 0.86513 0.948 0.052 0.000
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.1860 0.86513 0.948 0.052 0.000
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 3 0.1163 0.93549 0.028 0.000 0.972
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 2 0.0000 0.97065 0.000 1.000 0.000
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 3 0.0000 0.92907 0.000 0.000 1.000
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 3 0.1643 0.90468 0.044 0.000 0.956
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 3 0.1163 0.93549 0.028 0.000 0.972
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 3 0.1529 0.93426 0.040 0.000 0.960
#> 1DEA6525-5598-4985-9218-D61912C75437 2 0.0000 0.97065 0.000 1.000 0.000
#> E15EAAB4-0860-4716-9922-667F604CDF12 1 0.1860 0.87935 0.948 0.000 0.052
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 2 0.1964 0.92541 0.056 0.944 0.000
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 3 0.2066 0.92730 0.060 0.000 0.940
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 1 0.2063 0.87830 0.948 0.008 0.044
#> F37E118C-1066-4A84-B190-B9B78E265D94 3 0.2066 0.92730 0.060 0.000 0.940
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 3 0.1031 0.93517 0.024 0.000 0.976
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 1 0.1964 0.87820 0.944 0.000 0.056
#> E2A4C651-977F-4F40-B5EC-46DF75944141 2 0.0000 0.97065 0.000 1.000 0.000
#> 433599CC-9DF5-4494-A607-8079FFE74D95 3 0.1031 0.93517 0.024 0.000 0.976
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 3 0.1411 0.93491 0.036 0.000 0.964
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 3 0.0592 0.92380 0.012 0.000 0.988
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 3 0.1860 0.93105 0.052 0.000 0.948
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 3 0.2066 0.92730 0.060 0.000 0.940
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 2 0.0000 0.97065 0.000 1.000 0.000
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.1964 0.89915 0.056 0.000 0.944
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 3 0.0000 0.92907 0.000 0.000 1.000
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 3 0.0000 0.92907 0.000 0.000 1.000
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 1 0.1860 0.87935 0.948 0.000 0.052
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 1 0.1964 0.86417 0.944 0.056 0.000
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 3 0.0000 0.92907 0.000 0.000 1.000
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 2 0.0000 0.97065 0.000 1.000 0.000
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 1 0.3038 0.83991 0.896 0.104 0.000
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 3 0.2066 0.92730 0.060 0.000 0.940
#> 057B580C-13FD-4185-943C-9DD5266B8554 3 0.1529 0.93567 0.040 0.000 0.960
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 3 0.1289 0.93556 0.032 0.000 0.968
#> 287F3696-25CF-4E67-A934-E50856AD4790 3 0.0592 0.92928 0.012 0.000 0.988
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 3 0.2356 0.91986 0.072 0.000 0.928
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 1 0.3340 0.82876 0.880 0.120 0.000
#> B80A74AB-A264-4396-93F8-FD976DBC1456 3 0.0000 0.92907 0.000 0.000 1.000
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 3 0.1163 0.93549 0.028 0.000 0.972
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.1860 0.87935 0.948 0.000 0.052
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 3 0.1860 0.93105 0.052 0.000 0.948
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 3 0.1529 0.93475 0.040 0.000 0.960
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 1 0.2796 0.86707 0.908 0.000 0.092
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.4654 0.72642 0.208 0.792 0.000
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 2 0.0000 0.97065 0.000 1.000 0.000
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 3 0.1529 0.93426 0.040 0.000 0.960
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 3 0.1529 0.93406 0.040 0.000 0.960
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.2711 0.84905 0.912 0.088 0.000
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 1 0.4887 0.71398 0.772 0.228 0.000
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 3 0.1163 0.93549 0.028 0.000 0.972
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 1 0.2066 0.87463 0.940 0.000 0.060
#> DD292494-92A2-43CB-B59B-726B2F429B29 3 0.1411 0.93491 0.036 0.000 0.964
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 2 0.1860 0.92898 0.052 0.948 0.000
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 1 0.6252 0.17379 0.556 0.000 0.444
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 3 0.1529 0.93475 0.040 0.000 0.960
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 2 0.0000 0.97065 0.000 1.000 0.000
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 3 0.1411 0.93561 0.036 0.000 0.964
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.0000 0.86140 1.000 0.000 0.000
#> 74CF740D-201D-4070-99B9-F007E7C4D472 2 0.0000 0.97065 0.000 1.000 0.000
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 2 0.2537 0.90119 0.080 0.920 0.000
#> 78F28873-E471-497A-9405-FB8955808599 1 0.2625 0.85867 0.916 0.000 0.084
#> 29294D9A-434B-4581-9591-63D16107C7B1 3 0.1163 0.93549 0.028 0.000 0.972
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 1 0.1964 0.87820 0.944 0.000 0.056
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 1 0.4654 0.74284 0.792 0.208 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 1 0.2011 0.4649 0.920 0.000 0.080 0.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.5842 0.6864 0.688 0.092 0.220 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 3 0.2081 0.7973 0.084 0.000 0.916 0.000
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 3 0.1940 0.8187 0.076 0.000 0.924 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 2 0.0000 0.8542 0.000 1.000 0.000 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 2 0.0000 0.8542 0.000 1.000 0.000 0.000
#> 966A3A03-3879-4816-A1E9-D805F6018836 3 0.1118 0.8268 0.036 0.000 0.964 0.000
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 4 0.0000 0.9634 0.000 0.000 0.000 1.000
#> 18971368-40F0-42D3-B1A3-707850C53B18 4 0.0000 0.9634 0.000 0.000 0.000 1.000
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 2 0.0188 0.8547 0.000 0.996 0.000 0.004
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 2 0.1474 0.8402 0.000 0.948 0.000 0.052
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 2 0.1716 0.8331 0.000 0.936 0.000 0.064
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 2 0.4730 0.4001 0.000 0.636 0.000 0.364
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 1 0.6833 0.6816 0.584 0.272 0.144 0.000
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 4 0.0000 0.9634 0.000 0.000 0.000 1.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 3 0.2973 0.7671 0.144 0.000 0.856 0.000
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 2 0.0000 0.8542 0.000 1.000 0.000 0.000
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 2 0.0188 0.8547 0.000 0.996 0.000 0.004
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.4948 0.4800 0.560 0.440 0.000 0.000
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 2 0.4277 0.5729 0.000 0.720 0.000 0.280
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 2 0.4040 0.6262 0.000 0.752 0.000 0.248
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 1 0.6264 0.6317 0.560 0.064 0.376 0.000
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 4 0.4999 0.0024 0.000 0.492 0.000 0.508
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 1 0.2149 0.5890 0.912 0.000 0.088 0.000
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 3 0.3074 0.7150 0.152 0.000 0.848 0.000
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 1 0.4948 0.4800 0.560 0.440 0.000 0.000
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 3 0.3123 0.7498 0.156 0.000 0.844 0.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 1 0.6375 0.6856 0.624 0.104 0.272 0.000
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 4 0.0000 0.9634 0.000 0.000 0.000 1.000
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 3 0.3024 0.7678 0.148 0.000 0.852 0.000
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 2 0.0000 0.8542 0.000 1.000 0.000 0.000
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 1 0.5112 0.5565 0.560 0.004 0.436 0.000
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 3 0.4746 0.2351 0.368 0.000 0.632 0.000
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 1 0.5112 0.5565 0.560 0.004 0.436 0.000
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 1 0.6791 0.6487 0.564 0.316 0.120 0.000
#> BE56F908-42DD-4019-A8AC-48884DA788B1 3 0.0469 0.8335 0.012 0.000 0.988 0.000
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 2 0.0000 0.8542 0.000 1.000 0.000 0.000
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 2 0.0188 0.8547 0.000 0.996 0.000 0.004
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 1 0.6646 0.7029 0.620 0.156 0.224 0.000
#> 791D9EB8-42E0-4192-B064-B1126CA14481 2 0.2281 0.8087 0.000 0.904 0.000 0.096
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 3 0.0817 0.8288 0.024 0.000 0.976 0.000
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 1 0.5112 0.5565 0.560 0.004 0.436 0.000
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 4 0.0000 0.9634 0.000 0.000 0.000 1.000
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.6285 0.6793 0.624 0.092 0.284 0.000
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 1 0.3610 0.3215 0.800 0.200 0.000 0.000
#> D47C7B74-BB01-4614-B683-652F7130729C 3 0.1211 0.8230 0.040 0.000 0.960 0.000
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 2 0.0188 0.8547 0.000 0.996 0.000 0.004
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 1 0.6445 0.6802 0.600 0.096 0.304 0.000
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.6452 0.6887 0.620 0.112 0.268 0.000
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 3 0.1302 0.8235 0.044 0.000 0.956 0.000
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.6640 0.6798 0.604 0.268 0.128 0.000
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 1 0.4948 0.4800 0.560 0.440 0.000 0.000
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 2 0.0000 0.8542 0.000 1.000 0.000 0.000
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 3 0.3024 0.7678 0.148 0.000 0.852 0.000
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 1 0.4761 -0.2370 0.628 0.000 0.372 0.000
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 1 0.5671 0.6024 0.572 0.028 0.400 0.000
#> 58F11B66-AE40-417E-B465-811C6CF7311C 1 0.6150 0.5969 0.580 0.360 0.060 0.000
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 2 0.3528 0.7072 0.000 0.808 0.000 0.192
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 3 0.0336 0.8336 0.008 0.000 0.992 0.000
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 1 0.4999 0.4444 0.508 0.000 0.492 0.000
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 2 0.0336 0.8543 0.000 0.992 0.000 0.008
#> 739952C6-FF36-4E34-B881-E02FE17C4012 4 0.0000 0.9634 0.000 0.000 0.000 1.000
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 4 0.0000 0.9634 0.000 0.000 0.000 1.000
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 3 0.1302 0.8235 0.044 0.000 0.956 0.000
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 2 0.1474 0.8402 0.000 0.948 0.000 0.052
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 1 0.4933 0.4908 0.568 0.432 0.000 0.000
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 2 0.0188 0.8547 0.000 0.996 0.000 0.004
#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 2 0.4522 0.2769 0.320 0.680 0.000 0.000
#> F6B26185-139B-47A7-91EC-E885D94AC882 2 0.1474 0.8402 0.000 0.948 0.000 0.052
#> 81F30B6F-3E9A-4913-986B-C56D5F107A17 2 0.4746 0.3891 0.000 0.632 0.000 0.368
#> 2CCB3AE1-0D27-4493-B7AE-67C60BBC1C38 3 0.3024 0.7678 0.148 0.000 0.852 0.000
#> 329665BC-B959-47C5-B831-5546F94EDAC1 4 0.0000 0.9634 0.000 0.000 0.000 1.000
#> 8D4335F6-6ACB-4E38-B9F2-A2B5B647AE90 2 0.0000 0.8542 0.000 1.000 0.000 0.000
#> D181D0D8-FD8C-4259-9B34-97224CF27E1B 2 0.0000 0.8542 0.000 1.000 0.000 0.000
#> C0C10950-ABC5-4125-A33E-5AFA2D2574B0 1 0.5112 0.5565 0.560 0.004 0.436 0.000
#> 834D12DB-0925-422C-B15B-20A60A5F658C 2 0.0000 0.8542 0.000 1.000 0.000 0.000
#> 50314689-519F-4B27-884C-7816DD64CF4E 1 0.4877 0.5411 0.592 0.000 0.408 0.000
#> 2502A23E-E168-4A78-9C14-B93FBC9715B1 2 0.1474 0.8402 0.000 0.948 0.000 0.052
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#> 8E9CAAC7-31D3-473C-821C-2DAD37B44D3A 3 0.1302 0.8235 0.044 0.000 0.956 0.000
#> 368CFCA3-7BAB-4D6D-9AE1-55713A9965C1 1 0.4072 0.1230 0.748 0.000 0.252 0.000
#> 14DB79EF-DE2B-4197-AD32-F657E0655FCD 2 0.0000 0.8542 0.000 1.000 0.000 0.000
#> E73BCFCB-C5FE-4BF2-A236-B9E69711C121 1 0.6637 0.6962 0.616 0.240 0.144 0.000
#> CDAFAFEA-365B-4F25-AEC0-639B6E0CB626 1 0.5611 0.5902 0.564 0.024 0.412 0.000
#> 48A2AAEB-7F60-4284-808E-2058A531B17C 3 0.2973 0.7047 0.144 0.000 0.856 0.000
#> D4276C6F-9F0F-4F74-A85E-1E54272ADDED 3 0.4222 0.3971 0.272 0.000 0.728 0.000
#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 1 0.5105 0.5570 0.564 0.004 0.432 0.000
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 3 0.1389 0.8252 0.048 0.000 0.952 0.000
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 1 0.4998 -0.1431 0.512 0.000 0.488 0.000
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 4 0.0000 0.9634 0.000 0.000 0.000 1.000
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 1 0.2760 0.5283 0.872 0.128 0.000 0.000
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 4 0.0000 0.9634 0.000 0.000 0.000 1.000
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 2 0.2868 0.6992 0.136 0.864 0.000 0.000
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 1 0.6261 0.6696 0.608 0.080 0.312 0.000
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 4 0.0000 0.9634 0.000 0.000 0.000 1.000
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 3 0.1302 0.8235 0.044 0.000 0.956 0.000
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 2 0.2011 0.8214 0.000 0.920 0.000 0.080
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 1 0.5847 0.5427 0.560 0.404 0.036 0.000
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 2 0.0000 0.8542 0.000 1.000 0.000 0.000
#> C7997523-47CF-40F0-8803-AB873E38033C 4 0.0000 0.9634 0.000 0.000 0.000 1.000
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 3 0.1302 0.8240 0.044 0.000 0.956 0.000
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 1 0.4920 0.4141 0.628 0.004 0.368 0.000
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 3 0.4961 0.5202 0.448 0.000 0.552 0.000
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 2 0.1474 0.8402 0.000 0.948 0.000 0.052
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 4 0.0000 0.9634 0.000 0.000 0.000 1.000
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 1 0.6299 0.6692 0.600 0.080 0.320 0.000
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 3 0.4972 0.5131 0.456 0.000 0.544 0.000
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 2 0.2408 0.8021 0.000 0.896 0.000 0.104
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 2 0.0336 0.8492 0.008 0.992 0.000 0.000
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 2 0.0000 0.8542 0.000 1.000 0.000 0.000
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 3 0.0707 0.8326 0.020 0.000 0.980 0.000
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 2 0.4977 0.1250 0.000 0.540 0.000 0.460
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 3 0.2469 0.7458 0.108 0.000 0.892 0.000
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 3 0.2530 0.7989 0.112 0.000 0.888 0.000
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 3 0.0707 0.8311 0.020 0.000 0.980 0.000
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 3 0.1302 0.8235 0.044 0.000 0.956 0.000
#> 1DEA6525-5598-4985-9218-D61912C75437 2 0.4866 0.3099 0.000 0.596 0.000 0.404
#> E15EAAB4-0860-4716-9922-667F604CDF12 2 0.4967 -0.2042 0.452 0.548 0.000 0.000
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 2 0.3444 0.7180 0.000 0.816 0.000 0.184
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 3 0.3528 0.6964 0.192 0.000 0.808 0.000
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 2 0.1118 0.8247 0.036 0.964 0.000 0.000
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.5452 0.6124 0.616 0.024 0.360 0.000
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 3 0.0188 0.8324 0.004 0.000 0.996 0.000
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 1 0.6409 0.5901 0.560 0.364 0.076 0.000
#> E2A4C651-977F-4F40-B5EC-46DF75944141 4 0.0000 0.9634 0.000 0.000 0.000 1.000
#> 433599CC-9DF5-4494-A607-8079FFE74D95 3 0.0336 0.8336 0.008 0.000 0.992 0.000
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 3 0.1302 0.8235 0.044 0.000 0.956 0.000
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 3 0.2973 0.7671 0.144 0.000 0.856 0.000
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 3 0.2868 0.7728 0.136 0.000 0.864 0.000
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 3 0.3649 0.6709 0.204 0.000 0.796 0.000
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 4 0.0000 0.9634 0.000 0.000 0.000 1.000
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.4972 0.5131 0.456 0.000 0.544 0.000
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 3 0.3024 0.7678 0.148 0.000 0.852 0.000
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 3 0.3024 0.7678 0.148 0.000 0.852 0.000
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.4500 0.2943 0.316 0.684 0.000 0.000
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 2 0.0000 0.8542 0.000 1.000 0.000 0.000
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 3 0.0000 0.8331 0.000 0.000 1.000 0.000
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 4 0.0000 0.9634 0.000 0.000 0.000 1.000
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 2 0.0000 0.8542 0.000 1.000 0.000 0.000
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.4950 0.5901 0.620 0.004 0.376 0.000
#> 057B580C-13FD-4185-943C-9DD5266B8554 3 0.2408 0.8023 0.104 0.000 0.896 0.000
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 3 0.1716 0.8152 0.064 0.000 0.936 0.000
#> 287F3696-25CF-4E67-A934-E50856AD4790 1 0.4964 0.4296 0.616 0.004 0.380 0.000
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 1 0.5105 0.5033 0.564 0.004 0.432 0.000
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 2 0.0188 0.8547 0.000 0.996 0.000 0.004
#> B80A74AB-A264-4396-93F8-FD976DBC1456 3 0.3024 0.7678 0.148 0.000 0.852 0.000
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 3 0.1211 0.8253 0.040 0.000 0.960 0.000
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.6258 0.6309 0.600 0.324 0.076 0.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 3 0.4697 0.2814 0.356 0.000 0.644 0.000
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 3 0.2408 0.8023 0.104 0.000 0.896 0.000
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 2 0.5143 -0.2386 0.456 0.540 0.004 0.000
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.2408 0.8021 0.000 0.896 0.000 0.104
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 4 0.0000 0.9634 0.000 0.000 0.000 1.000
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 3 0.1637 0.8231 0.060 0.000 0.940 0.000
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 1 0.5112 0.5565 0.560 0.004 0.436 0.000
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 2 0.0000 0.8542 0.000 1.000 0.000 0.000
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.1716 0.8331 0.000 0.936 0.000 0.064
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 3 0.1211 0.8253 0.040 0.000 0.960 0.000
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 1 0.6852 0.7100 0.600 0.208 0.192 0.000
#> DD292494-92A2-43CB-B59B-726B2F429B29 3 0.1389 0.8252 0.048 0.000 0.952 0.000
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 2 0.3688 0.6858 0.000 0.792 0.000 0.208
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 1 0.6425 0.6805 0.604 0.096 0.300 0.000
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 3 0.3123 0.7505 0.156 0.000 0.844 0.000
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 4 0.0000 0.9634 0.000 0.000 0.000 1.000
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 3 0.1557 0.8197 0.056 0.000 0.944 0.000
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.3074 0.5630 0.848 0.152 0.000 0.000
#> 74CF740D-201D-4070-99B9-F007E7C4D472 4 0.0000 0.9634 0.000 0.000 0.000 1.000
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 2 0.3356 0.7277 0.000 0.824 0.000 0.176
#> 78F28873-E471-497A-9405-FB8955808599 1 0.7058 0.6858 0.560 0.272 0.168 0.000
#> 29294D9A-434B-4581-9591-63D16107C7B1 3 0.1118 0.8268 0.036 0.000 0.964 0.000
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 1 0.6147 0.5755 0.564 0.380 0.056 0.000
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 2 0.1022 0.8486 0.000 0.968 0.000 0.032
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.3636 0.8164 0.000 0.000 0.728 0.272 0.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 4 0.1270 0.6555 0.000 0.000 0.052 0.948 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 2 0.4403 0.5546 0.000 0.608 0.008 0.384 0.000
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 2 0.4046 0.5974 0.000 0.696 0.008 0.296 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.2984 0.8147 0.860 0.000 0.108 0.032 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.2462 0.8325 0.880 0.000 0.112 0.008 0.000
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.4269 0.6389 0.000 0.776 0.116 0.108 0.000
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 5 0.0000 0.9629 0.000 0.000 0.000 0.000 1.000
#> 18971368-40F0-42D3-B1A3-707850C53B18 5 0.0000 0.9629 0.000 0.000 0.000 0.000 1.000
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 1 0.0162 0.8834 0.996 0.000 0.004 0.000 0.000
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 1 0.0451 0.8843 0.988 0.000 0.004 0.008 0.000
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 1 0.0404 0.8834 0.988 0.000 0.012 0.000 0.000
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.2376 0.8468 0.904 0.000 0.044 0.000 0.052
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 4 0.2864 0.6766 0.024 0.000 0.112 0.864 0.000
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 5 0.0000 0.9629 0.000 0.000 0.000 0.000 1.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 2 0.0963 0.7080 0.000 0.964 0.036 0.000 0.000
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 1 0.0162 0.8834 0.996 0.000 0.004 0.000 0.000
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 1 0.0324 0.8840 0.992 0.000 0.004 0.004 0.000
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 4 0.3828 0.6514 0.072 0.000 0.120 0.808 0.000
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.1992 0.8617 0.924 0.000 0.044 0.000 0.032
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 1 0.1830 0.8650 0.932 0.000 0.040 0.000 0.028
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 4 0.6281 0.4309 0.008 0.304 0.144 0.544 0.000
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 1 0.3003 0.8147 0.864 0.000 0.044 0.000 0.092
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 3 0.3796 0.7820 0.000 0.000 0.700 0.300 0.000
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 4 0.5088 -0.2399 0.000 0.436 0.036 0.528 0.000
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 4 0.3359 0.6657 0.052 0.000 0.108 0.840 0.000
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 4 0.4894 -0.2690 0.000 0.456 0.024 0.520 0.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 4 0.0510 0.6742 0.000 0.000 0.016 0.984 0.000
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 5 0.0000 0.9629 0.000 0.000 0.000 0.000 1.000
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 2 0.3359 0.6790 0.000 0.840 0.108 0.052 0.000
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 1 0.2358 0.8354 0.888 0.000 0.104 0.008 0.000
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 4 0.6270 0.2095 0.008 0.404 0.116 0.472 0.000
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 4 0.4204 0.4545 0.000 0.196 0.048 0.756 0.000
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 4 0.6057 0.4078 0.008 0.312 0.116 0.564 0.000
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 4 0.4272 0.6626 0.052 0.000 0.196 0.752 0.000
#> BE56F908-42DD-4019-A8AC-48884DA788B1 2 0.3093 0.6844 0.000 0.824 0.008 0.168 0.000
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 1 0.0703 0.8802 0.976 0.000 0.024 0.000 0.000
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 1 0.0162 0.8834 0.996 0.000 0.004 0.000 0.000
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 4 0.1195 0.6716 0.012 0.000 0.028 0.960 0.000
#> 791D9EB8-42E0-4192-B064-B1126CA14481 1 0.1195 0.8786 0.960 0.000 0.028 0.000 0.012
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 2 0.0880 0.7155 0.000 0.968 0.032 0.000 0.000
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 4 0.5968 0.2996 0.000 0.372 0.116 0.512 0.000
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 5 0.0963 0.9499 0.000 0.000 0.036 0.000 0.964
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 4 0.0510 0.6742 0.000 0.000 0.016 0.984 0.000
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 3 0.3868 0.6998 0.060 0.000 0.800 0.140 0.000
#> D47C7B74-BB01-4614-B683-652F7130729C 2 0.2221 0.7131 0.000 0.912 0.036 0.052 0.000
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 1 0.0451 0.8841 0.988 0.000 0.004 0.008 0.000
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 4 0.0566 0.6804 0.004 0.000 0.012 0.984 0.000
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 4 0.0794 0.6688 0.000 0.000 0.028 0.972 0.000
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.3691 0.6750 0.000 0.820 0.076 0.104 0.000
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 4 0.3012 0.6725 0.024 0.000 0.124 0.852 0.000
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 4 0.3493 0.6615 0.060 0.000 0.108 0.832 0.000
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 1 0.2179 0.8335 0.888 0.000 0.112 0.000 0.000
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 2 0.4665 0.6137 0.000 0.740 0.148 0.112 0.000
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 3 0.4054 0.8280 0.000 0.020 0.732 0.248 0.000
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 4 0.2077 0.6672 0.000 0.008 0.084 0.908 0.000
#> 58F11B66-AE40-417E-B465-811C6CF7311C 4 0.3365 0.6671 0.044 0.000 0.120 0.836 0.000
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.1818 0.8673 0.932 0.000 0.044 0.000 0.024
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 2 0.1408 0.7253 0.000 0.948 0.008 0.044 0.000
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 4 0.3035 0.6453 0.000 0.032 0.112 0.856 0.000
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 1 0.0290 0.8835 0.992 0.000 0.008 0.000 0.000
#> 739952C6-FF36-4E34-B881-E02FE17C4012 5 0.0290 0.9610 0.000 0.000 0.008 0.000 0.992
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#> BD6DAD3D-2D5F-4560-9A4C-70D8A1D49732 4 0.3913 0.1457 0.000 0.000 0.324 0.676 0.000
#> ED86F92E-6B39-4C0C-9A60-870984F53C4D 1 0.0290 0.8841 0.992 0.000 0.000 0.008 0.000
#> CD3B289F-FAE1-405F-875F-23C1D2609DFC 4 0.3238 0.6794 0.028 0.000 0.136 0.836 0.000
#> D1C0E70B-B2BB-4FE7-8DEC-B50659739BAA 5 0.3090 0.8473 0.104 0.000 0.040 0.000 0.856
#> D2417A9C-CBF0-47F6-B20C-FB32AF632A84 5 0.0000 0.9629 0.000 0.000 0.000 0.000 1.000
#> EF5618C6-6AFB-4FB5-A32B-7946F18E9736 2 0.4152 0.5938 0.000 0.692 0.012 0.296 0.000
#> 36040CAB-FF77-4540-BB44-7961A6A54B29 2 0.0290 0.7185 0.000 0.992 0.008 0.000 0.000
#> 3808C3A9-22DA-4DC5-9F51-884A7EF574E6 4 0.0703 0.6708 0.000 0.000 0.024 0.976 0.000
#> 24363857-9A33-40D4-8409-C17225570833 4 0.4333 0.6610 0.060 0.000 0.188 0.752 0.000
#> A57E6132-9B76-493A-A167-8462263B7CDB 1 0.0451 0.8841 0.988 0.000 0.004 0.008 0.000
#> 4C020890-E652-4DE4-B66D-5F6F71405F64 2 0.4046 0.5974 0.000 0.696 0.008 0.296 0.000
#> 90C991CD-412E-4318-96E3-EB84B868FE9F 4 0.6238 0.2732 0.008 0.380 0.116 0.496 0.000
#> FA8E73EA-649C-43ED-854E-B9472820D1C6 4 0.4400 0.6603 0.052 0.000 0.212 0.736 0.000
#> 4D46B5DE-186A-4D35-8E1B-64701C13BC69 2 0.1121 0.7064 0.000 0.956 0.044 0.000 0.000
#> D516A82D-2F77-46B2-90F7-30BA5C78AAC8 4 0.6739 0.4526 0.008 0.288 0.224 0.480 0.000
#> 1FBD0805-13AE-4A82-8B94-640E1C921262 1 0.0451 0.8843 0.988 0.000 0.004 0.008 0.000
#> 264525A9-F7DB-4012-A93B-CF8A7626F125 2 0.4444 0.6311 0.000 0.760 0.136 0.104 0.000
#> AFF029D8-FFC9-4AA9-8049-F1E27C743F6F 4 0.0162 0.6788 0.000 0.004 0.000 0.996 0.000
#> 5B65768D-0E81-4469-9D69-69B07ED5ACD5 5 0.0000 0.9629 0.000 0.000 0.000 0.000 1.000
#> 2CB06CA6-8D1F-4BC7-99BE-66921805B8FD 1 0.2179 0.8331 0.888 0.000 0.112 0.000 0.000
#> 956357FB-9AB3-497C-BB55-9D15B486A422 1 0.0451 0.8843 0.988 0.000 0.004 0.008 0.000
#> C8F2BAD0-7124-46BF-975C-4B44BE980F93 1 0.1444 0.8747 0.948 0.000 0.040 0.000 0.012
#> E96AE267-3E23-4EA9-93E2-D92558155A17 3 0.3752 0.6369 0.000 0.292 0.708 0.000 0.000
#> 1C8DCA5B-965B-485A-83B6-5CBEB2117E47 4 0.5086 -0.1120 0.000 0.396 0.040 0.564 0.000
#> DEAB79F5-336A-49B4-8046-AEE2F567FE46 1 0.0451 0.8843 0.988 0.000 0.004 0.008 0.000
#> 767FE89E-E19F-4F56-A744-CB3C5CCC085B 2 0.4003 0.6042 0.000 0.704 0.008 0.288 0.000
#> 7B0BF632-79E5-46B5-AAC8-4A6D5A193449 2 0.2074 0.6883 0.000 0.896 0.104 0.000 0.000
#> 9A281EDE-FF96-4E66-AEF4-692BDFA8E99D 1 0.0404 0.8834 0.988 0.000 0.012 0.000 0.000
#> B8C2D019-00C9-4E1E-8383-4FE2FFB4D2D7 3 0.3752 0.6369 0.000 0.292 0.708 0.000 0.000
#> 39A9B95F-186B-4550-9271-001151B1A626 2 0.0510 0.7235 0.000 0.984 0.000 0.016 0.000
#> CAD6E491-88FB-4221-90E9-AC9C68AECCB0 4 0.0404 0.6758 0.000 0.000 0.012 0.988 0.000
#> 15EFBC5B-C713-4718-BB6F-0EBBE4D6997F 4 0.1331 0.6702 0.000 0.008 0.040 0.952 0.000
#> BBA00038-09B1-461D-9F8E-484890B0D130 2 0.3934 0.6138 0.000 0.716 0.008 0.276 0.000
#> 16EBB885-A692-42A6-9027-F6AD769E0ABB 4 0.1697 0.6647 0.000 0.008 0.060 0.932 0.000
#> 2D57E24B-97A6-4B85-BC8F-3E02DDC6C460 2 0.4172 0.6454 0.000 0.784 0.108 0.108 0.000
#> C6E39F86-9DEF-4BCA-930B-2A3993D18901 1 0.2020 0.8417 0.900 0.000 0.100 0.000 0.000
#> 5BE4D8E9-DA18-426F-8AE6-075B15010390 5 0.0963 0.9499 0.000 0.000 0.036 0.000 0.964
#> 8E9CAAC7-31D3-473C-821C-2DAD37B44D3A 2 0.3226 0.6931 0.000 0.852 0.060 0.088 0.000
#> 368CFCA3-7BAB-4D6D-9AE1-55713A9965C1 3 0.3988 0.8275 0.000 0.016 0.732 0.252 0.000
#> 14DB79EF-DE2B-4197-AD32-F657E0655FCD 1 0.4364 0.7097 0.768 0.000 0.112 0.120 0.000
#> E73BCFCB-C5FE-4BF2-A236-B9E69711C121 4 0.2825 0.6735 0.016 0.000 0.124 0.860 0.000
#> CDAFAFEA-365B-4F25-AEC0-639B6E0CB626 4 0.1894 0.6714 0.000 0.008 0.072 0.920 0.000
#> 48A2AAEB-7F60-4284-808E-2058A531B17C 2 0.5104 0.5496 0.000 0.692 0.116 0.192 0.000
#> D4276C6F-9F0F-4F74-A85E-1E54272ADDED 2 0.5102 0.5646 0.000 0.696 0.128 0.176 0.000
#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 4 0.3780 0.6310 0.000 0.072 0.116 0.812 0.000
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 2 0.4046 0.5974 0.000 0.696 0.008 0.296 0.000
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 2 0.5819 0.0838 0.000 0.456 0.092 0.452 0.000
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 5 0.0963 0.9499 0.000 0.000 0.036 0.000 0.964
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 3 0.2891 0.7200 0.000 0.000 0.824 0.176 0.000
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 5 0.0000 0.9629 0.000 0.000 0.000 0.000 1.000
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 1 0.5515 0.5119 0.628 0.000 0.112 0.260 0.000
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 4 0.0000 0.6790 0.000 0.000 0.000 1.000 0.000
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 5 0.0963 0.9499 0.000 0.000 0.036 0.000 0.964
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 2 0.4425 0.6396 0.000 0.680 0.024 0.296 0.000
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 1 0.0880 0.8799 0.968 0.000 0.032 0.000 0.000
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 4 0.3216 0.6690 0.044 0.000 0.108 0.848 0.000
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 1 0.2338 0.8317 0.884 0.000 0.112 0.004 0.000
#> C7997523-47CF-40F0-8803-AB873E38033C 5 0.0404 0.9594 0.000 0.000 0.012 0.000 0.988
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 2 0.1408 0.7253 0.000 0.948 0.008 0.044 0.000
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 4 0.6504 0.1917 0.008 0.388 0.148 0.456 0.000
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 3 0.4627 0.8177 0.000 0.080 0.732 0.188 0.000
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 1 0.0992 0.8828 0.968 0.000 0.024 0.008 0.000
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 5 0.2824 0.8606 0.096 0.000 0.032 0.000 0.872
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 4 0.0955 0.6790 0.004 0.000 0.028 0.968 0.000
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 3 0.4627 0.8177 0.000 0.080 0.732 0.188 0.000
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 1 0.1281 0.8772 0.956 0.000 0.032 0.000 0.012
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 1 0.3849 0.7698 0.808 0.000 0.112 0.080 0.000
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.2864 0.8212 0.864 0.000 0.112 0.024 0.000
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 2 0.3934 0.6138 0.000 0.716 0.008 0.276 0.000
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 1 0.4129 0.6652 0.756 0.000 0.040 0.000 0.204
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 2 0.4679 0.6068 0.000 0.740 0.124 0.136 0.000
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 2 0.2592 0.7029 0.000 0.892 0.056 0.052 0.000
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 2 0.0510 0.7235 0.000 0.984 0.000 0.016 0.000
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 2 0.3790 0.6203 0.000 0.724 0.004 0.272 0.000
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.2446 0.8431 0.900 0.000 0.044 0.000 0.056
#> E15EAAB4-0860-4716-9922-667F604CDF12 4 0.5811 0.3389 0.340 0.000 0.108 0.552 0.000
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 1 0.1661 0.8694 0.940 0.000 0.036 0.000 0.024
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 4 0.4980 -0.0340 0.000 0.380 0.036 0.584 0.000
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 1 0.3359 0.7981 0.840 0.000 0.108 0.052 0.000
#> F37E118C-1066-4A84-B190-B9B78E265D94 4 0.1124 0.6641 0.000 0.004 0.036 0.960 0.000
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 2 0.1800 0.7140 0.000 0.932 0.048 0.020 0.000
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 4 0.6774 0.4388 0.008 0.300 0.224 0.468 0.000
#> E2A4C651-977F-4F40-B5EC-46DF75944141 5 0.0000 0.9629 0.000 0.000 0.000 0.000 1.000
#> 433599CC-9DF5-4494-A607-8079FFE74D95 2 0.1408 0.7253 0.000 0.948 0.008 0.044 0.000
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 2 0.4288 0.5653 0.000 0.612 0.004 0.384 0.000
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 2 0.1043 0.7069 0.000 0.960 0.040 0.000 0.000
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 2 0.4416 0.5165 0.000 0.632 0.012 0.356 0.000
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 4 0.4863 0.2341 0.000 0.296 0.048 0.656 0.000
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 5 0.0290 0.9610 0.000 0.000 0.008 0.000 0.992
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.4627 0.8177 0.000 0.080 0.732 0.188 0.000
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 2 0.2573 0.6893 0.000 0.880 0.104 0.016 0.000
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 2 0.4617 0.6174 0.000 0.744 0.148 0.108 0.000
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 1 0.5934 0.0920 0.496 0.000 0.108 0.396 0.000
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 1 0.1408 0.8702 0.948 0.000 0.044 0.008 0.000
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.0671 0.7232 0.000 0.980 0.004 0.016 0.000
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 5 0.0963 0.9499 0.000 0.000 0.036 0.000 0.964
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 1 0.2497 0.8316 0.880 0.004 0.112 0.004 0.000
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 4 0.1364 0.6613 0.000 0.012 0.036 0.952 0.000
#> 057B580C-13FD-4185-943C-9DD5266B8554 2 0.5256 0.4738 0.000 0.532 0.048 0.420 0.000
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 2 0.4152 0.5938 0.000 0.692 0.012 0.296 0.000
#> 287F3696-25CF-4E67-A934-E50856AD4790 4 0.6528 0.2487 0.008 0.364 0.156 0.472 0.000
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 4 0.1872 0.6632 0.000 0.020 0.052 0.928 0.000
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 1 0.0451 0.8843 0.988 0.000 0.004 0.008 0.000
#> B80A74AB-A264-4396-93F8-FD976DBC1456 2 0.2280 0.6807 0.000 0.880 0.120 0.000 0.000
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.0794 0.7264 0.000 0.972 0.000 0.028 0.000
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 4 0.3012 0.6725 0.024 0.000 0.124 0.852 0.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 4 0.4640 0.3071 0.000 0.256 0.048 0.696 0.000
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 2 0.4798 0.5287 0.000 0.580 0.024 0.396 0.000
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 4 0.8387 0.2562 0.280 0.168 0.208 0.344 0.000
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 1 0.1041 0.8786 0.964 0.000 0.032 0.000 0.004
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 5 0.0963 0.9499 0.000 0.000 0.036 0.000 0.964
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 2 0.4046 0.5974 0.000 0.696 0.008 0.296 0.000
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 4 0.6224 0.2902 0.008 0.372 0.116 0.504 0.000
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.0451 0.8843 0.988 0.000 0.004 0.008 0.000
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 1 0.0510 0.8830 0.984 0.000 0.016 0.000 0.000
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 2 0.1282 0.7261 0.000 0.952 0.004 0.044 0.000
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 4 0.2677 0.6779 0.016 0.000 0.112 0.872 0.000
#> DD292494-92A2-43CB-B59B-726B2F429B29 2 0.4046 0.5974 0.000 0.696 0.008 0.296 0.000
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.1818 0.8673 0.932 0.000 0.044 0.000 0.024
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 4 0.0162 0.6798 0.000 0.000 0.004 0.996 0.000
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 4 0.5131 -0.1955 0.000 0.420 0.040 0.540 0.000
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 5 0.0000 0.9629 0.000 0.000 0.000 0.000 1.000
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 2 0.4152 0.5938 0.000 0.692 0.012 0.296 0.000
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 3 0.3305 0.6638 0.000 0.000 0.776 0.224 0.000
#> 74CF740D-201D-4070-99B9-F007E7C4D472 5 0.0000 0.9629 0.000 0.000 0.000 0.000 1.000
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 1 0.1579 0.8710 0.944 0.000 0.032 0.000 0.024
#> 78F28873-E471-497A-9405-FB8955808599 4 0.6662 0.4490 0.008 0.296 0.204 0.492 0.000
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.2669 0.7039 0.000 0.876 0.020 0.104 0.000
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 4 0.7202 0.4800 0.052 0.236 0.200 0.512 0.000
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 1 0.0794 0.8809 0.972 0.000 0.028 0.000 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.1921 0.8936 0.052 0.000 0.916 0.000 0.032 0.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.3836 0.7146 0.788 0.000 0.124 0.008 0.080 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 4 0.3602 0.6950 0.088 0.000 0.000 0.796 0.116 0.000
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 4 0.1918 0.7394 0.088 0.000 0.000 0.904 0.008 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 6 0.5218 0.4261 0.376 0.000 0.012 0.000 0.068 0.544
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 6 0.2805 0.7636 0.184 0.000 0.004 0.000 0.000 0.812
#> 966A3A03-3879-4816-A1E9-D805F6018836 5 0.3109 0.6109 0.004 0.000 0.000 0.224 0.772 0.000
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.0405 0.9401 0.000 0.988 0.000 0.008 0.004 0.000
#> 18971368-40F0-42D3-B1A3-707850C53B18 2 0.0260 0.9408 0.000 0.992 0.000 0.008 0.000 0.000
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 6 0.2290 0.8603 0.004 0.000 0.020 0.000 0.084 0.892
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 6 0.0692 0.8690 0.020 0.000 0.004 0.000 0.000 0.976
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 6 0.2492 0.8551 0.004 0.000 0.020 0.000 0.100 0.876
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 6 0.2108 0.8543 0.000 0.016 0.056 0.000 0.016 0.912
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 1 0.1141 0.7743 0.948 0.000 0.000 0.000 0.052 0.000
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 2 0.0260 0.9408 0.000 0.992 0.000 0.008 0.000 0.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 4 0.3729 0.4229 0.000 0.000 0.012 0.692 0.296 0.000
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 6 0.2455 0.8583 0.016 0.000 0.016 0.000 0.080 0.888
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 6 0.2294 0.8614 0.008 0.000 0.020 0.000 0.076 0.896
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#> 433599CC-9DF5-4494-A607-8079FFE74D95 4 0.0520 0.7434 0.008 0.000 0.000 0.984 0.008 0.000
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 4 0.4232 0.6770 0.072 0.000 0.032 0.772 0.124 0.000
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 4 0.4057 0.2438 0.000 0.000 0.012 0.600 0.388 0.000
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 4 0.3767 0.6625 0.172 0.000 0.020 0.780 0.028 0.000
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 4 0.6750 0.0987 0.384 0.000 0.104 0.404 0.108 0.000
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 2 0.0000 0.9414 0.000 1.000 0.000 0.000 0.000 0.000
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.2027 0.8949 0.032 0.000 0.920 0.016 0.032 0.000
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 5 0.3984 0.3231 0.000 0.000 0.008 0.396 0.596 0.000
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 5 0.2841 0.6600 0.000 0.000 0.012 0.164 0.824 0.000
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 1 0.5145 0.4917 0.624 0.000 0.000 0.000 0.176 0.200
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 6 0.4425 0.7737 0.104 0.000 0.016 0.000 0.136 0.744
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 4 0.1010 0.7287 0.000 0.000 0.004 0.960 0.036 0.000
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 2 0.2450 0.8941 0.000 0.896 0.048 0.000 0.016 0.040
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 6 0.5616 0.3729 0.104 0.000 0.012 0.000 0.400 0.484
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.5195 0.6499 0.704 0.000 0.108 0.084 0.104 0.000
#> 057B580C-13FD-4185-943C-9DD5266B8554 4 0.5702 0.5718 0.144 0.000 0.116 0.652 0.088 0.000
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 4 0.1866 0.7413 0.084 0.000 0.000 0.908 0.008 0.000
#> 287F3696-25CF-4E67-A934-E50856AD4790 5 0.2771 0.7265 0.068 0.000 0.004 0.060 0.868 0.000
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 1 0.4884 0.6755 0.712 0.000 0.108 0.032 0.148 0.000
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 6 0.0692 0.8690 0.020 0.000 0.004 0.000 0.000 0.976
#> B80A74AB-A264-4396-93F8-FD976DBC1456 5 0.4136 0.2534 0.000 0.000 0.012 0.428 0.560 0.000
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 4 0.0603 0.7386 0.004 0.000 0.000 0.980 0.016 0.000
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.1116 0.7770 0.960 0.000 0.004 0.008 0.028 0.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 4 0.6656 0.3140 0.312 0.000 0.108 0.476 0.104 0.000
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 4 0.5066 0.6347 0.096 0.000 0.104 0.716 0.084 0.000
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 5 0.4291 0.5100 0.240 0.000 0.012 0.000 0.708 0.040
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 6 0.2889 0.8567 0.004 0.000 0.044 0.000 0.096 0.856
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 2 0.2585 0.8883 0.000 0.888 0.048 0.000 0.016 0.048
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 4 0.1866 0.7413 0.084 0.000 0.000 0.908 0.008 0.000
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 5 0.2680 0.7303 0.076 0.000 0.000 0.056 0.868 0.000
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 6 0.1152 0.8637 0.044 0.000 0.004 0.000 0.000 0.952
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 6 0.2373 0.8614 0.004 0.000 0.024 0.000 0.084 0.888
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 4 0.0692 0.7396 0.004 0.000 0.000 0.976 0.020 0.000
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 1 0.1500 0.7750 0.936 0.000 0.000 0.012 0.052 0.000
#> DD292494-92A2-43CB-B59B-726B2F429B29 4 0.1757 0.7434 0.076 0.000 0.000 0.916 0.008 0.000
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 6 0.2196 0.8543 0.000 0.016 0.056 0.000 0.020 0.908
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 1 0.2912 0.7227 0.816 0.000 0.000 0.012 0.172 0.000
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 4 0.6384 0.4264 0.252 0.000 0.108 0.544 0.096 0.000
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 2 0.0260 0.9408 0.000 0.992 0.000 0.008 0.000 0.000
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 4 0.1866 0.7413 0.084 0.000 0.000 0.908 0.008 0.000
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 3 0.2996 0.7485 0.228 0.000 0.772 0.000 0.000 0.000
#> 74CF740D-201D-4070-99B9-F007E7C4D472 2 0.0260 0.9408 0.000 0.992 0.000 0.008 0.000 0.000
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 6 0.2954 0.8563 0.004 0.000 0.048 0.000 0.096 0.852
#> 78F28873-E471-497A-9405-FB8955808599 5 0.3426 0.5460 0.276 0.000 0.000 0.000 0.720 0.004
#> 29294D9A-434B-4581-9591-63D16107C7B1 4 0.3109 0.6132 0.004 0.000 0.000 0.772 0.224 0.000
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 5 0.4627 0.1008 0.456 0.000 0.000 0.008 0.512 0.024
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 6 0.2651 0.8599 0.004 0.000 0.036 0.000 0.088 0.872
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 17397 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'ATC' method.
#> Subgroups are detected by 'skmeans' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.968 0.987 0.4897 0.510 0.510
#> 3 3 0.823 0.877 0.939 0.3420 0.793 0.609
#> 4 4 0.857 0.902 0.937 0.0748 0.876 0.673
#> 5 5 0.796 0.770 0.886 0.0605 0.889 0.656
#> 6 6 0.693 0.538 0.722 0.0547 0.905 0.653
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
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 2 0.0000 0.9908 0.000 1.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 2 0.0000 0.9908 0.000 1.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 2 0.0000 0.9908 0.000 1.000
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 2 0.0000 0.9908 0.000 1.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.0000 0.9814 1.000 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.0000 0.9814 1.000 0.000
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.0000 0.9908 0.000 1.000
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 1 0.0000 0.9814 1.000 0.000
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.0000 0.9814 1.000 0.000
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 1 0.0000 0.9814 1.000 0.000
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 1 0.0000 0.9814 1.000 0.000
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 1 0.0000 0.9814 1.000 0.000
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.0000 0.9814 1.000 0.000
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 2 0.0000 0.9908 0.000 1.000
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.0000 0.9814 1.000 0.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 2 0.0000 0.9908 0.000 1.000
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 1 0.0000 0.9814 1.000 0.000
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 1 0.0000 0.9814 1.000 0.000
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.0000 0.9814 1.000 0.000
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.0000 0.9814 1.000 0.000
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 1 0.0000 0.9814 1.000 0.000
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 2 0.0000 0.9908 0.000 1.000
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 1 0.0000 0.9814 1.000 0.000
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 2 0.0000 0.9908 0.000 1.000
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 2 0.0000 0.9908 0.000 1.000
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 1 0.4939 0.8710 0.892 0.108
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 2 0.0000 0.9908 0.000 1.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 2 0.0000 0.9908 0.000 1.000
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 1 0.0000 0.9814 1.000 0.000
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 2 0.0000 0.9908 0.000 1.000
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 1 0.0000 0.9814 1.000 0.000
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.0000 0.9908 0.000 1.000
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 2 0.0000 0.9908 0.000 1.000
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 2 0.0000 0.9908 0.000 1.000
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 2 0.9460 0.4252 0.364 0.636
#> BE56F908-42DD-4019-A8AC-48884DA788B1 2 0.0000 0.9908 0.000 1.000
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 1 0.0000 0.9814 1.000 0.000
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 1 0.0000 0.9814 1.000 0.000
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 2 0.0000 0.9908 0.000 1.000
#> 791D9EB8-42E0-4192-B064-B1126CA14481 1 0.0000 0.9814 1.000 0.000
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 2 0.0000 0.9908 0.000 1.000
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 2 0.0000 0.9908 0.000 1.000
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.0000 0.9814 1.000 0.000
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 2 0.0000 0.9908 0.000 1.000
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 1 0.0000 0.9814 1.000 0.000
#> D47C7B74-BB01-4614-B683-652F7130729C 2 0.0000 0.9908 0.000 1.000
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 1 0.0000 0.9814 1.000 0.000
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 2 0.0000 0.9908 0.000 1.000
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 2 0.0000 0.9908 0.000 1.000
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.0000 0.9908 0.000 1.000
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 2 0.0376 0.9870 0.004 0.996
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 1 0.0000 0.9814 1.000 0.000
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 1 0.0000 0.9814 1.000 0.000
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 2 0.0000 0.9908 0.000 1.000
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 2 0.0000 0.9908 0.000 1.000
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 2 0.0000 0.9908 0.000 1.000
#> 58F11B66-AE40-417E-B465-811C6CF7311C 2 0.6247 0.8119 0.156 0.844
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.0000 0.9814 1.000 0.000
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 2 0.0000 0.9908 0.000 1.000
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 2 0.0000 0.9908 0.000 1.000
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 1 0.0000 0.9814 1.000 0.000
#> 739952C6-FF36-4E34-B881-E02FE17C4012 1 0.0000 0.9814 1.000 0.000
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 1 0.0000 0.9814 1.000 0.000
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 2 0.0000 0.9908 0.000 1.000
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 1 0.0000 0.9814 1.000 0.000
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 1 0.2603 0.9399 0.956 0.044
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 1 0.0000 0.9814 1.000 0.000
#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 1 0.0000 0.9814 1.000 0.000
#> F6B26185-139B-47A7-91EC-E885D94AC882 1 0.0000 0.9814 1.000 0.000
#> 81F30B6F-3E9A-4913-986B-C56D5F107A17 1 0.0000 0.9814 1.000 0.000
#> 2CCB3AE1-0D27-4493-B7AE-67C60BBC1C38 2 0.0000 0.9908 0.000 1.000
#> 329665BC-B959-47C5-B831-5546F94EDAC1 1 0.0000 0.9814 1.000 0.000
#> 8D4335F6-6ACB-4E38-B9F2-A2B5B647AE90 1 0.0000 0.9814 1.000 0.000
#> D181D0D8-FD8C-4259-9B34-97224CF27E1B 1 0.0000 0.9814 1.000 0.000
#> C0C10950-ABC5-4125-A33E-5AFA2D2574B0 2 0.0000 0.9908 0.000 1.000
#> 834D12DB-0925-422C-B15B-20A60A5F658C 1 0.0000 0.9814 1.000 0.000
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#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 2 0.0000 0.9908 0.000 1.000
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 1 0.0000 0.9814 1.000 0.000
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 2 0.0000 0.9908 0.000 1.000
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 2 0.0000 0.9908 0.000 1.000
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 2 0.0000 0.9908 0.000 1.000
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 1 0.0000 0.9814 1.000 0.000
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 1 0.0000 0.9814 1.000 0.000
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.0000 0.9908 0.000 1.000
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.0000 0.9814 1.000 0.000
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 1 0.0000 0.9814 1.000 0.000
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 2 0.0000 0.9908 0.000 1.000
#> 057B580C-13FD-4185-943C-9DD5266B8554 2 0.0000 0.9908 0.000 1.000
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 2 0.0000 0.9908 0.000 1.000
#> 287F3696-25CF-4E67-A934-E50856AD4790 2 0.0000 0.9908 0.000 1.000
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.0000 0.9908 0.000 1.000
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 1 0.0000 0.9814 1.000 0.000
#> B80A74AB-A264-4396-93F8-FD976DBC1456 2 0.0000 0.9908 0.000 1.000
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.0000 0.9908 0.000 1.000
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 2 0.0000 0.9908 0.000 1.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 2 0.0000 0.9908 0.000 1.000
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 2 0.0000 0.9908 0.000 1.000
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 1 0.0000 0.9814 1.000 0.000
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 1 0.0000 0.9814 1.000 0.000
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.0000 0.9814 1.000 0.000
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 2 0.0000 0.9908 0.000 1.000
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.0000 0.9908 0.000 1.000
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.0000 0.9814 1.000 0.000
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 1 0.0000 0.9814 1.000 0.000
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 2 0.0000 0.9908 0.000 1.000
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 2 0.0000 0.9908 0.000 1.000
#> DD292494-92A2-43CB-B59B-726B2F429B29 2 0.0000 0.9908 0.000 1.000
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.0000 0.9814 1.000 0.000
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 2 0.0000 0.9908 0.000 1.000
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 2 0.0000 0.9908 0.000 1.000
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 1 0.0000 0.9814 1.000 0.000
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 2 0.0000 0.9908 0.000 1.000
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 2 0.0000 0.9908 0.000 1.000
#> 74CF740D-201D-4070-99B9-F007E7C4D472 1 0.0000 0.9814 1.000 0.000
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 1 0.0000 0.9814 1.000 0.000
#> 78F28873-E471-497A-9405-FB8955808599 2 0.0000 0.9908 0.000 1.000
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.0000 0.9908 0.000 1.000
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 1 0.7745 0.7024 0.772 0.228
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 1 0.0000 0.9814 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.4654 0.7672 0.000 0.208 0.792
#> 5A147DAD-7390-4C90-9921-45CB05066827 3 0.0000 0.8835 0.000 0.000 1.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 2 0.4796 0.7764 0.000 0.780 0.220
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 3 0.4002 0.7401 0.000 0.160 0.840
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.0000 0.9852 1.000 0.000 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.0000 0.9852 1.000 0.000 0.000
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.0000 0.9003 0.000 1.000 0.000
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 1 0.0000 0.9852 1.000 0.000 0.000
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.0000 0.9852 1.000 0.000 0.000
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 1 0.0000 0.9852 1.000 0.000 0.000
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 1 0.0000 0.9852 1.000 0.000 0.000
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 1 0.0000 0.9852 1.000 0.000 0.000
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.0000 0.9852 1.000 0.000 0.000
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 2 0.5138 0.7423 0.000 0.748 0.252
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.0000 0.9852 1.000 0.000 0.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 2 0.0000 0.9003 0.000 1.000 0.000
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 1 0.0000 0.9852 1.000 0.000 0.000
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 1 0.0000 0.9852 1.000 0.000 0.000
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 3 0.6154 0.2942 0.408 0.000 0.592
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.0000 0.9852 1.000 0.000 0.000
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 1 0.0000 0.9852 1.000 0.000 0.000
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 2 0.0000 0.9003 0.000 1.000 0.000
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 1 0.0000 0.9852 1.000 0.000 0.000
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 3 0.0000 0.8835 0.000 0.000 1.000
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 2 0.4654 0.7862 0.000 0.792 0.208
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 3 0.5733 0.4953 0.324 0.000 0.676
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 3 0.0000 0.8835 0.000 0.000 1.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 3 0.0000 0.8835 0.000 0.000 1.000
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 1 0.0000 0.9852 1.000 0.000 0.000
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 2 0.0000 0.9003 0.000 1.000 0.000
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 1 0.0000 0.9852 1.000 0.000 0.000
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.0000 0.9003 0.000 1.000 0.000
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 3 0.0000 0.8835 0.000 0.000 1.000
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 2 0.0000 0.9003 0.000 1.000 0.000
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 2 0.3028 0.8660 0.032 0.920 0.048
#> BE56F908-42DD-4019-A8AC-48884DA788B1 2 0.2878 0.8556 0.000 0.904 0.096
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 1 0.0000 0.9852 1.000 0.000 0.000
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 1 0.0000 0.9852 1.000 0.000 0.000
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 3 0.4504 0.7761 0.000 0.196 0.804
#> 791D9EB8-42E0-4192-B064-B1126CA14481 1 0.0000 0.9852 1.000 0.000 0.000
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 2 0.0000 0.9003 0.000 1.000 0.000
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 2 0.0000 0.9003 0.000 1.000 0.000
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.0000 0.9852 1.000 0.000 0.000
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 3 0.0000 0.8835 0.000 0.000 1.000
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 1 0.8527 0.4277 0.612 0.196 0.192
#> D47C7B74-BB01-4614-B683-652F7130729C 2 0.0000 0.9003 0.000 1.000 0.000
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 1 0.0000 0.9852 1.000 0.000 0.000
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 2 0.4842 0.7729 0.000 0.776 0.224
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 3 0.0000 0.8835 0.000 0.000 1.000
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.0000 0.9003 0.000 1.000 0.000
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 3 0.0000 0.8835 0.000 0.000 1.000
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 1 0.4796 0.7019 0.780 0.000 0.220
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 1 0.0000 0.9852 1.000 0.000 0.000
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 2 0.0000 0.9003 0.000 1.000 0.000
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 3 0.3038 0.8347 0.000 0.104 0.896
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 2 0.4654 0.7862 0.000 0.792 0.208
#> 58F11B66-AE40-417E-B465-811C6CF7311C 3 0.0747 0.8746 0.016 0.000 0.984
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.0000 0.9852 1.000 0.000 0.000
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 2 0.1163 0.8890 0.000 0.972 0.028
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 2 0.4654 0.7862 0.000 0.792 0.208
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 1 0.0000 0.9852 1.000 0.000 0.000
#> 739952C6-FF36-4E34-B881-E02FE17C4012 1 0.0000 0.9852 1.000 0.000 0.000
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 1 0.0000 0.9852 1.000 0.000 0.000
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 2 0.0000 0.9003 0.000 1.000 0.000
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 1 0.0000 0.9852 1.000 0.000 0.000
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 3 0.3412 0.7890 0.124 0.000 0.876
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 1 0.0000 0.9852 1.000 0.000 0.000
#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 1 0.0000 0.9852 1.000 0.000 0.000
#> F6B26185-139B-47A7-91EC-E885D94AC882 1 0.0000 0.9852 1.000 0.000 0.000
#> 81F30B6F-3E9A-4913-986B-C56D5F107A17 1 0.0000 0.9852 1.000 0.000 0.000
#> 2CCB3AE1-0D27-4493-B7AE-67C60BBC1C38 2 0.0000 0.9003 0.000 1.000 0.000
#> 329665BC-B959-47C5-B831-5546F94EDAC1 1 0.0000 0.9852 1.000 0.000 0.000
#> 8D4335F6-6ACB-4E38-B9F2-A2B5B647AE90 1 0.0000 0.9852 1.000 0.000 0.000
#> D181D0D8-FD8C-4259-9B34-97224CF27E1B 1 0.0000 0.9852 1.000 0.000 0.000
#> C0C10950-ABC5-4125-A33E-5AFA2D2574B0 2 0.0000 0.9003 0.000 1.000 0.000
#> 834D12DB-0925-422C-B15B-20A60A5F658C 1 0.0000 0.9852 1.000 0.000 0.000
#> 50314689-519F-4B27-884C-7816DD64CF4E 3 0.0000 0.8835 0.000 0.000 1.000
#> 2502A23E-E168-4A78-9C14-B93FBC9715B1 1 0.0000 0.9852 1.000 0.000 0.000
#> 3F8D01A3-5449-48A1-BDBA-BFE4D908AE31 2 0.4654 0.7862 0.000 0.792 0.208
#> 1C47A87B-C033-4705-B903-DB33B8C6EC34 1 0.0000 0.9852 1.000 0.000 0.000
#> 1329E1C1-743E-4541-9081-165572D4BF47 2 0.4654 0.7862 0.000 0.792 0.208
#> 1F3F8680-EEB6-4532-B81D-51957D1EA502 1 0.0000 0.9852 1.000 0.000 0.000
#> 50F69785-8B7A-4933-85B1-8DC539ACC72A 1 0.0000 0.9852 1.000 0.000 0.000
#> 9095FDD8-EEB2-4B17-85AB-3CDAC0BEC759 3 0.0892 0.8724 0.000 0.020 0.980
#> B6BF8C22-03E4-44F0-B2EF-2A3DD6ADE7D7 1 0.0000 0.9852 1.000 0.000 0.000
#> D6A907FC-3A1B-4E3B-A440-1CE9BE9B334B 2 0.0000 0.9003 0.000 1.000 0.000
#> 02588D5D-89CB-4D0B-9E96-A0270C3FF866 1 0.0000 0.9852 1.000 0.000 0.000
#> D50BBFC7-7774-4B12-938C-8D5373C12DFC 2 0.0000 0.9003 0.000 1.000 0.000
#> 6E930060-502B-49F5-A385-9B91DEBD05E4 3 0.0000 0.8835 0.000 0.000 1.000
#> F6606A8E-ACC6-4826-9547-E0017521724D 1 0.0000 0.9852 1.000 0.000 0.000
#> 981584D3-10DB-455C-8132-E8E5F44E1222 1 0.0000 0.9852 1.000 0.000 0.000
#> 47F6E197-7164-4289-95B5-8FD305A13B4C 1 0.0000 0.9852 1.000 0.000 0.000
#> 4522D871-9379-4643-B15E-9ACB556276C4 3 0.0000 0.8835 0.000 0.000 1.000
#> 7560B2B5-6AF5-4600-9F0A-BE25CF99B6B9 1 0.0000 0.9852 1.000 0.000 0.000
#> 38F5957E-0A99-432D-8F0B-B48E03F17668 1 0.0000 0.9852 1.000 0.000 0.000
#> 7A6BBBE6-2B3B-44EB-A101-C823739AB24F 2 0.0000 0.9003 0.000 1.000 0.000
#> 0782D25A-3B14-499E-A40C-3852B3A15B8B 2 0.0000 0.9003 0.000 1.000 0.000
#> 31D4B639-D1E5-479B-AEC2-34F758F2E470 1 0.0000 0.9852 1.000 0.000 0.000
#> C49078E1-E730-4E81-8EAE-5AAAB9FA1BF5 1 0.0000 0.9852 1.000 0.000 0.000
#> 48BCD3B8-917F-4E8F-BCEA-1363570A6486 1 0.0000 0.9852 1.000 0.000 0.000
#> F3BA6259-9F68-47D0-ABDD-1272AE112CAB 2 0.0000 0.9003 0.000 1.000 0.000
#> 3CA49BB1-30F6-47F3-A751-D5601E16BDBA 1 0.0000 0.9852 1.000 0.000 0.000
#> 47747595-686A-46B5-9EF4-A4CFB85D746D 3 0.4654 0.7672 0.000 0.208 0.792
#> 87974EFF-C2DE-4930-93E3-015E6D996440 2 0.0000 0.9003 0.000 1.000 0.000
#> 7D272E6C-826D-4D02-8383-6A3D5BBF3A5F 3 0.4654 0.7672 0.000 0.208 0.792
#> 070E540B-34DB-4016-B573-84924407F57F 1 0.0000 0.9852 1.000 0.000 0.000
#> 63F4281A-4D90-4589-879E-549097FB3459 1 0.0000 0.9852 1.000 0.000 0.000
#> 93A66EA0-0C74-4342-8140-72ECB01F99A1 1 0.0000 0.9852 1.000 0.000 0.000
#> C92AD683-FD09-4DD2-A5A5-C72EA5DD9B46 3 0.0000 0.8835 0.000 0.000 1.000
#> 38D2BE9E-15D4-47BC-8FEB-55310F23825B 2 0.4654 0.7862 0.000 0.792 0.208
#> B3029936-1EEF-4378-AA28-D5B2A32CDC86 1 0.0000 0.9852 1.000 0.000 0.000
#> 9A33172F-AEEA-4B7D-9605-0C60D7872CEA 1 0.0000 0.9852 1.000 0.000 0.000
#> F2BC32E5-4117-468E-B637-9EDB6E9CC6C7 1 0.0000 0.9852 1.000 0.000 0.000
#> EC319D0D-96C5-49DB-A2C4-BB6BFED6844F 3 0.0000 0.8835 0.000 0.000 1.000
#> 8CB71499-1B35-417D-95E1-D85CE71A2D8A 3 0.0000 0.8835 0.000 0.000 1.000
#> C5986AA8-D1C7-47BB-946F-1AE00503A444 2 0.0000 0.9003 0.000 1.000 0.000
#> CDB44ECD-3F01-4865-B4CC-5190E0FB64DC 2 0.5058 0.7527 0.000 0.756 0.244
#> 57633DCE-DC21-42AE-82EB-81F532CE9840 2 0.0000 0.9003 0.000 1.000 0.000
#> 715C1406-D224-466D-968E-46889824CD3D 2 0.4654 0.7862 0.000 0.792 0.208
#> 86A9A426-4B69-4572-9AFF-103C2724E5EA 1 0.0747 0.9679 0.984 0.016 0.000
#> A73A2348-FC50-42A5-ADF0-6647E5ECF0EA 3 0.0000 0.8835 0.000 0.000 1.000
#> 4BF75CF9-DA61-4A0B-940C-B09C7FE864F0 3 0.0000 0.8835 0.000 0.000 1.000
#> E3D18696-51D7-4BE3-A32B-3196E5F80438 1 0.0000 0.9852 1.000 0.000 0.000
#> C4C7C112-555F-46D5-8D5D-411C7737A4C9 3 0.4654 0.7672 0.000 0.208 0.792
#> 0A3E0A3D-D396-4340-8D98-4B79DBFC312C 2 0.0000 0.9003 0.000 1.000 0.000
#> 5513114D-2503-4D11-ADA4-35BE010510E5 1 0.0000 0.9852 1.000 0.000 0.000
#> EDDCFDBA-B3E7-4E3F-97CB-D017C9DC9EF7 3 0.0000 0.8835 0.000 0.000 1.000
#> 7046C2F2-A8DE-4AE1-B27D-094CF2EF3B3D 2 0.0000 0.9003 0.000 1.000 0.000
#> 6869ABAF-343B-4C9B-8975-B26A2C895123 1 0.0237 0.9808 0.996 0.004 0.000
#> EC0B4E94-0FD0-4DBE-8E1A-14DBB0E63772 2 0.1643 0.8706 0.000 0.956 0.044
#> 245967F0-EE1A-4B0C-BEE2-0283393DA722 3 0.4346 0.7845 0.000 0.184 0.816
#> 9E5162FF-4316-42B2-882F-9CDBE2193686 2 0.4654 0.7862 0.000 0.792 0.208
#> 64FCCF76-C73F-401D-974A-BBB4F1CBC8A0 2 0.0000 0.9003 0.000 1.000 0.000
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#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 2 0.4842 0.7729 0.000 0.776 0.224
#> DD292494-92A2-43CB-B59B-726B2F429B29 2 0.4654 0.7862 0.000 0.792 0.208
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.0000 0.9852 1.000 0.000 0.000
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 2 0.4842 0.7729 0.000 0.776 0.224
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 3 0.0000 0.8835 0.000 0.000 1.000
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 1 0.0000 0.9852 1.000 0.000 0.000
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 3 0.0000 0.8835 0.000 0.000 1.000
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 3 0.1964 0.8595 0.000 0.056 0.944
#> 74CF740D-201D-4070-99B9-F007E7C4D472 1 0.0000 0.9852 1.000 0.000 0.000
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 1 0.0000 0.9852 1.000 0.000 0.000
#> 78F28873-E471-497A-9405-FB8955808599 2 0.0000 0.9003 0.000 1.000 0.000
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.0000 0.9003 0.000 1.000 0.000
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.5465 0.5410 0.288 0.712 0.000
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 1 0.0000 0.9852 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.0000 0.927 0.000 0.000 1.000 0.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 3 0.0000 0.927 0.000 0.000 1.000 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 1 0.3444 0.817 0.816 0.184 0.000 0.000
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.4344 0.851 0.816 0.108 0.076 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 4 0.0817 0.971 0.024 0.000 0.000 0.976
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.0188 0.936 0.004 0.996 0.000 0.000
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> 18971368-40F0-42D3-B1A3-707850C53B18 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 1 0.1022 0.853 0.968 0.032 0.000 0.000
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 2 0.0336 0.936 0.008 0.992 0.000 0.000
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.4401 0.524 0.724 0.000 0.004 0.272
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 2 0.0592 0.928 0.016 0.984 0.000 0.000
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 3 0.0000 0.927 0.000 0.000 1.000 0.000
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 1 0.3764 0.826 0.816 0.172 0.012 0.000
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 1 0.0657 0.844 0.984 0.004 0.012 0.000
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.4114 0.859 0.828 0.060 0.112 0.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 1 0.2773 0.862 0.900 0.028 0.072 0.000
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 2 0.0188 0.936 0.004 0.996 0.000 0.000
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.0336 0.932 0.008 0.992 0.000 0.000
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.4114 0.859 0.828 0.060 0.112 0.000
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 2 0.0469 0.930 0.012 0.988 0.000 0.000
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 2 0.3606 0.794 0.140 0.840 0.000 0.020
#> BE56F908-42DD-4019-A8AC-48884DA788B1 2 0.2973 0.846 0.144 0.856 0.000 0.000
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 3 0.0000 0.927 0.000 0.000 1.000 0.000
#> 791D9EB8-42E0-4192-B064-B1126CA14481 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 2 0.0188 0.936 0.004 0.996 0.000 0.000
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 2 0.0188 0.936 0.004 0.996 0.000 0.000
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.1356 0.852 0.960 0.008 0.032 0.000
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 3 0.2814 0.780 0.000 0.000 0.868 0.132
#> D47C7B74-BB01-4614-B683-652F7130729C 2 0.0188 0.936 0.004 0.996 0.000 0.000
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 1 0.3208 0.839 0.848 0.148 0.004 0.000
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.3726 0.792 0.788 0.000 0.212 0.000
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.1118 0.931 0.036 0.964 0.000 0.000
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.0817 0.839 0.976 0.000 0.024 0.000
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 1 0.1867 0.787 0.928 0.000 0.000 0.072
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 2 0.0469 0.930 0.012 0.988 0.000 0.000
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 3 0.0000 0.927 0.000 0.000 1.000 0.000
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 1 0.3444 0.817 0.816 0.184 0.000 0.000
#> 58F11B66-AE40-417E-B465-811C6CF7311C 1 0.1339 0.840 0.964 0.008 0.024 0.004
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 2 0.2704 0.869 0.124 0.876 0.000 0.000
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 2 0.2408 0.888 0.104 0.896 0.000 0.000
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> 739952C6-FF36-4E34-B881-E02FE17C4012 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 2 0.1211 0.929 0.040 0.960 0.000 0.000
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 1 0.2675 0.792 0.908 0.000 0.048 0.044
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> F6B26185-139B-47A7-91EC-E885D94AC882 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> 81F30B6F-3E9A-4913-986B-C56D5F107A17 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> 2CCB3AE1-0D27-4493-B7AE-67C60BBC1C38 2 0.0188 0.936 0.004 0.996 0.000 0.000
#> 329665BC-B959-47C5-B831-5546F94EDAC1 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> 8D4335F6-6ACB-4E38-B9F2-A2B5B647AE90 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> D181D0D8-FD8C-4259-9B34-97224CF27E1B 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> C0C10950-ABC5-4125-A33E-5AFA2D2574B0 2 0.0188 0.936 0.004 0.996 0.000 0.000
#> 834D12DB-0925-422C-B15B-20A60A5F658C 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> 50314689-519F-4B27-884C-7816DD64CF4E 1 0.4037 0.859 0.832 0.056 0.112 0.000
#> 2502A23E-E168-4A78-9C14-B93FBC9715B1 4 0.0469 0.981 0.000 0.000 0.012 0.988
#> 3F8D01A3-5449-48A1-BDBA-BFE4D908AE31 2 0.3569 0.776 0.196 0.804 0.000 0.000
#> 1C47A87B-C033-4705-B903-DB33B8C6EC34 4 0.0336 0.984 0.008 0.000 0.000 0.992
#> 1329E1C1-743E-4541-9081-165572D4BF47 1 0.3172 0.832 0.840 0.160 0.000 0.000
#> 1F3F8680-EEB6-4532-B81D-51957D1EA502 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> 50F69785-8B7A-4933-85B1-8DC539ACC72A 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> 9095FDD8-EEB2-4B17-85AB-3CDAC0BEC759 1 0.1302 0.847 0.956 0.000 0.044 0.000
#> B6BF8C22-03E4-44F0-B2EF-2A3DD6ADE7D7 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> D6A907FC-3A1B-4E3B-A440-1CE9BE9B334B 2 0.2149 0.900 0.088 0.912 0.000 0.000
#> 02588D5D-89CB-4D0B-9E96-A0270C3FF866 4 0.3257 0.787 0.004 0.152 0.000 0.844
#> D50BBFC7-7774-4B12-938C-8D5373C12DFC 2 0.0336 0.936 0.008 0.992 0.000 0.000
#> 6E930060-502B-49F5-A385-9B91DEBD05E4 1 0.3402 0.787 0.832 0.000 0.164 0.004
#> F6606A8E-ACC6-4826-9547-E0017521724D 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> 981584D3-10DB-455C-8132-E8E5F44E1222 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> 47F6E197-7164-4289-95B5-8FD305A13B4C 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> 4522D871-9379-4643-B15E-9ACB556276C4 3 0.0000 0.927 0.000 0.000 1.000 0.000
#> 7560B2B5-6AF5-4600-9F0A-BE25CF99B6B9 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> 38F5957E-0A99-432D-8F0B-B48E03F17668 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> 7A6BBBE6-2B3B-44EB-A101-C823739AB24F 2 0.0592 0.928 0.016 0.984 0.000 0.000
#> 0782D25A-3B14-499E-A40C-3852B3A15B8B 2 0.2081 0.903 0.084 0.916 0.000 0.000
#> 31D4B639-D1E5-479B-AEC2-34F758F2E470 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> C49078E1-E730-4E81-8EAE-5AAAB9FA1BF5 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> 48BCD3B8-917F-4E8F-BCEA-1363570A6486 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> F3BA6259-9F68-47D0-ABDD-1272AE112CAB 2 0.1022 0.932 0.032 0.968 0.000 0.000
#> 3CA49BB1-30F6-47F3-A751-D5601E16BDBA 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> 47747595-686A-46B5-9EF4-A4CFB85D746D 3 0.0000 0.927 0.000 0.000 1.000 0.000
#> 87974EFF-C2DE-4930-93E3-015E6D996440 2 0.2149 0.900 0.088 0.912 0.000 0.000
#> 7D272E6C-826D-4D02-8383-6A3D5BBF3A5F 3 0.0000 0.927 0.000 0.000 1.000 0.000
#> 070E540B-34DB-4016-B573-84924407F57F 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> 63F4281A-4D90-4589-879E-549097FB3459 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> 93A66EA0-0C74-4342-8140-72ECB01F99A1 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> C92AD683-FD09-4DD2-A5A5-C72EA5DD9B46 1 0.3523 0.856 0.856 0.032 0.112 0.000
#> 38D2BE9E-15D4-47BC-8FEB-55310F23825B 2 0.2081 0.907 0.084 0.916 0.000 0.000
#> B3029936-1EEF-4378-AA28-D5B2A32CDC86 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> 9A33172F-AEEA-4B7D-9605-0C60D7872CEA 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> F2BC32E5-4117-468E-B637-9EDB6E9CC6C7 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> EC319D0D-96C5-49DB-A2C4-BB6BFED6844F 1 0.3074 0.836 0.848 0.000 0.152 0.000
#> 8CB71499-1B35-417D-95E1-D85CE71A2D8A 1 0.1297 0.854 0.964 0.016 0.020 0.000
#> C5986AA8-D1C7-47BB-946F-1AE00503A444 2 0.0592 0.928 0.016 0.984 0.000 0.000
#> CDB44ECD-3F01-4865-B4CC-5190E0FB64DC 1 0.1256 0.854 0.964 0.028 0.008 0.000
#> 57633DCE-DC21-42AE-82EB-81F532CE9840 2 0.0592 0.928 0.016 0.984 0.000 0.000
#> 715C1406-D224-466D-968E-46889824CD3D 1 0.0592 0.848 0.984 0.016 0.000 0.000
#> 86A9A426-4B69-4572-9AFF-103C2724E5EA 4 0.0817 0.965 0.000 0.024 0.000 0.976
#> A73A2348-FC50-42A5-ADF0-6647E5ECF0EA 1 0.1792 0.815 0.932 0.000 0.068 0.000
#> 4BF75CF9-DA61-4A0B-940C-B09C7FE864F0 1 0.2081 0.809 0.916 0.000 0.084 0.000
#> E3D18696-51D7-4BE3-A32B-3196E5F80438 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> C4C7C112-555F-46D5-8D5D-411C7737A4C9 3 0.0000 0.927 0.000 0.000 1.000 0.000
#> 0A3E0A3D-D396-4340-8D98-4B79DBFC312C 2 0.0336 0.932 0.008 0.992 0.000 0.000
#> 5513114D-2503-4D11-ADA4-35BE010510E5 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> EDDCFDBA-B3E7-4E3F-97CB-D017C9DC9EF7 1 0.1042 0.850 0.972 0.008 0.020 0.000
#> 7046C2F2-A8DE-4AE1-B27D-094CF2EF3B3D 2 0.0188 0.936 0.004 0.996 0.000 0.000
#> 6869ABAF-343B-4C9B-8975-B26A2C895123 4 0.0779 0.975 0.016 0.000 0.004 0.980
#> EC0B4E94-0FD0-4DBE-8E1A-14DBB0E63772 2 0.4224 0.823 0.100 0.824 0.076 0.000
#> 245967F0-EE1A-4B0C-BEE2-0283393DA722 3 0.0000 0.927 0.000 0.000 1.000 0.000
#> 9E5162FF-4316-42B2-882F-9CDBE2193686 2 0.1637 0.919 0.060 0.940 0.000 0.000
#> 64FCCF76-C73F-401D-974A-BBB4F1CBC8A0 2 0.0592 0.928 0.016 0.984 0.000 0.000
#> 20152BF5-FA56-4B98-8F20-FFEE20F8B1CB 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> 1576BB97-F8EA-48FF-9494-EBC7A0C97312 2 0.0592 0.928 0.016 0.984 0.000 0.000
#> 4405F995-AE79-46F9-BFEE-81CAECF42BAE 1 0.5482 0.502 0.608 0.368 0.024 0.000
#> 681D8638-84E1-43B9-93A9-3189560D8611 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> 49B8F49B-1C21-4145-BCDC-403B3D37CCD5 1 0.4114 0.859 0.828 0.060 0.112 0.000
#> C11294C4-9285-4BC2-B0F6-98054A63CF50 1 0.4104 0.861 0.832 0.080 0.088 0.000
#> 688EFD86-95DA-4442-87F0-DBF9E6B549FD 2 0.0707 0.935 0.020 0.980 0.000 0.000
#> F23B0A1A-25AE-41D9-8C49-B692C4FDE1E4 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> 1809618E-A051-4758-BC59-B04E23FB3A42 2 0.0592 0.928 0.016 0.984 0.000 0.000
#> 9DD73399-620E-472C-8360-5565F91BBD3A 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> E85AE97F-43CF-4250-B2BF-63E6FA8044E8 2 0.6698 0.493 0.140 0.604 0.256 0.000
#> D4E58BFB-9859-4D77-A581-1D713AA54B0B 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> 57CDEE2D-9B87-40D7-8DDA-17B7000F6965 2 0.1118 0.931 0.036 0.964 0.000 0.000
#> 412F9B5E-324D-40CC-A8F3-FA9C1FCC83C0 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> 668765BB-DEC9-4746-B932-C8CE643B6564 2 0.2081 0.903 0.084 0.916 0.000 0.000
#> 80379304-DD5D-49A3-8DE7-376FD06AEE17 2 0.2149 0.900 0.088 0.912 0.000 0.000
#> BB657D53-8FE7-46AA-918E-8BE6EB5B70AD 4 0.0000 0.991 0.000 0.000 0.000 1.000
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#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 2 0.2469 0.885 0.108 0.892 0.000 0.000
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 1 0.0592 0.848 0.984 0.016 0.000 0.000
#> DD292494-92A2-43CB-B59B-726B2F429B29 1 0.3681 0.823 0.816 0.176 0.008 0.000
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 1 0.1256 0.854 0.964 0.028 0.008 0.000
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 1 0.4114 0.859 0.828 0.060 0.112 0.000
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 1 0.4332 0.856 0.816 0.072 0.112 0.000
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 3 0.0000 0.927 0.000 0.000 1.000 0.000
#> 74CF740D-201D-4070-99B9-F007E7C4D472 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> 78F28873-E471-497A-9405-FB8955808599 2 0.0592 0.928 0.016 0.984 0.000 0.000
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.1022 0.932 0.032 0.968 0.000 0.000
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.4012 0.685 0.016 0.800 0.000 0.184
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 4 0.0000 0.991 0.000 0.000 0.000 1.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.0000 0.89811 0.000 0.000 1.000 0.000 0.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 3 0.0000 0.89811 0.000 0.000 1.000 0.000 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 4 0.0000 0.85955 0.000 0.000 0.000 1.000 0.000
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 4 0.0000 0.85955 0.000 0.000 0.000 1.000 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 5 0.3534 0.57658 0.256 0.000 0.000 0.000 0.744
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.3586 0.63372 0.736 0.000 0.000 0.000 0.264
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.2773 0.80269 0.000 0.836 0.000 0.164 0.000
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 1 0.0000 0.95054 1.000 0.000 0.000 0.000 0.000
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.0000 0.95054 1.000 0.000 0.000 0.000 0.000
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 1 0.1197 0.92932 0.952 0.000 0.000 0.000 0.048
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 1 0.0510 0.94732 0.984 0.000 0.000 0.000 0.016
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 1 0.1197 0.92932 0.952 0.000 0.000 0.000 0.048
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.0404 0.94841 0.988 0.000 0.000 0.000 0.012
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 5 0.4287 0.14320 0.000 0.000 0.000 0.460 0.540
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.0000 0.95054 1.000 0.000 0.000 0.000 0.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 2 0.3424 0.76203 0.000 0.760 0.000 0.240 0.000
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 1 0.1197 0.92932 0.952 0.000 0.000 0.000 0.048
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 1 0.1197 0.92932 0.952 0.000 0.000 0.000 0.048
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 5 0.3863 0.67441 0.152 0.000 0.000 0.052 0.796
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.0404 0.94841 0.988 0.000 0.000 0.000 0.012
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 1 0.0000 0.95054 1.000 0.000 0.000 0.000 0.000
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 2 0.0000 0.74522 0.000 1.000 0.000 0.000 0.000
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 1 0.0000 0.95054 1.000 0.000 0.000 0.000 0.000
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 3 0.0000 0.89811 0.000 0.000 1.000 0.000 0.000
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 4 0.0000 0.85955 0.000 0.000 0.000 1.000 0.000
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 5 0.1410 0.72567 0.000 0.000 0.000 0.060 0.940
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 4 0.0324 0.85879 0.000 0.000 0.004 0.992 0.004
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 4 0.3550 0.61735 0.000 0.000 0.004 0.760 0.236
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 1 0.0000 0.95054 1.000 0.000 0.000 0.000 0.000
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 2 0.2852 0.80093 0.000 0.828 0.000 0.172 0.000
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 1 0.0290 0.94935 0.992 0.000 0.000 0.000 0.008
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.0963 0.76402 0.000 0.964 0.000 0.036 0.000
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 4 0.0324 0.85879 0.000 0.000 0.004 0.992 0.004
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 2 0.0794 0.75994 0.000 0.972 0.000 0.028 0.000
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 2 0.3109 0.62041 0.000 0.800 0.000 0.000 0.200
#> BE56F908-42DD-4019-A8AC-48884DA788B1 4 0.1197 0.83166 0.000 0.048 0.000 0.952 0.000
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 1 0.1197 0.92932 0.952 0.000 0.000 0.000 0.048
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 1 0.1197 0.92932 0.952 0.000 0.000 0.000 0.048
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 3 0.0000 0.89811 0.000 0.000 1.000 0.000 0.000
#> 791D9EB8-42E0-4192-B064-B1126CA14481 1 0.0000 0.95054 1.000 0.000 0.000 0.000 0.000
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 2 0.2852 0.80093 0.000 0.828 0.000 0.172 0.000
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 2 0.2773 0.80269 0.000 0.836 0.000 0.164 0.000
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.0162 0.95006 0.996 0.000 0.000 0.000 0.004
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 4 0.4166 0.40531 0.000 0.000 0.004 0.648 0.348
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 3 0.0510 0.87668 0.016 0.000 0.984 0.000 0.000
#> D47C7B74-BB01-4614-B683-652F7130729C 2 0.3274 0.77652 0.000 0.780 0.000 0.220 0.000
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 1 0.1197 0.92932 0.952 0.000 0.000 0.000 0.048
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 4 0.0609 0.85456 0.000 0.000 0.000 0.980 0.020
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 5 0.6757 0.19851 0.000 0.000 0.320 0.280 0.400
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.4268 0.51349 0.000 0.556 0.000 0.444 0.000
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 5 0.1478 0.72589 0.000 0.000 0.000 0.064 0.936
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 5 0.0510 0.70836 0.000 0.000 0.000 0.016 0.984
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 1 0.1197 0.92932 0.952 0.000 0.000 0.000 0.048
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 2 0.0404 0.75181 0.000 0.988 0.000 0.012 0.000
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 3 0.0000 0.89811 0.000 0.000 1.000 0.000 0.000
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 4 0.0000 0.85955 0.000 0.000 0.000 1.000 0.000
#> 58F11B66-AE40-417E-B465-811C6CF7311C 5 0.2011 0.72048 0.000 0.000 0.004 0.088 0.908
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.0510 0.94732 0.984 0.000 0.000 0.000 0.016
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 4 0.1197 0.83166 0.000 0.048 0.000 0.952 0.000
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 4 0.1410 0.82346 0.000 0.060 0.000 0.940 0.000
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 1 0.1197 0.92932 0.952 0.000 0.000 0.000 0.048
#> 739952C6-FF36-4E34-B881-E02FE17C4012 1 0.0404 0.94841 0.988 0.000 0.000 0.000 0.012
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 1 0.0000 0.95054 1.000 0.000 0.000 0.000 0.000
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 2 0.4300 0.43956 0.000 0.524 0.000 0.476 0.000
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 1 0.0510 0.94732 0.984 0.000 0.000 0.000 0.016
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 5 0.1571 0.72669 0.004 0.000 0.000 0.060 0.936
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 1 0.3003 0.75470 0.812 0.000 0.000 0.000 0.188
#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 1 0.3730 0.58990 0.712 0.000 0.000 0.000 0.288
#> F6B26185-139B-47A7-91EC-E885D94AC882 1 0.0510 0.94732 0.984 0.000 0.000 0.000 0.016
#> 81F30B6F-3E9A-4913-986B-C56D5F107A17 1 0.0000 0.95054 1.000 0.000 0.000 0.000 0.000
#> 2CCB3AE1-0D27-4493-B7AE-67C60BBC1C38 2 0.2773 0.80269 0.000 0.836 0.000 0.164 0.000
#> 329665BC-B959-47C5-B831-5546F94EDAC1 1 0.0000 0.95054 1.000 0.000 0.000 0.000 0.000
#> 8D4335F6-6ACB-4E38-B9F2-A2B5B647AE90 1 0.0000 0.95054 1.000 0.000 0.000 0.000 0.000
#> D181D0D8-FD8C-4259-9B34-97224CF27E1B 1 0.0000 0.95054 1.000 0.000 0.000 0.000 0.000
#> C0C10950-ABC5-4125-A33E-5AFA2D2574B0 2 0.2561 0.80246 0.000 0.856 0.000 0.144 0.000
#> 834D12DB-0925-422C-B15B-20A60A5F658C 1 0.0963 0.93597 0.964 0.000 0.000 0.000 0.036
#> 50314689-519F-4B27-884C-7816DD64CF4E 4 0.0566 0.85589 0.000 0.000 0.004 0.984 0.012
#> 2502A23E-E168-4A78-9C14-B93FBC9715B1 1 0.1041 0.93623 0.964 0.000 0.004 0.000 0.032
#> 3F8D01A3-5449-48A1-BDBA-BFE4D908AE31 4 0.0963 0.84016 0.000 0.036 0.000 0.964 0.000
#> 1C47A87B-C033-4705-B903-DB33B8C6EC34 5 0.4201 0.32719 0.408 0.000 0.000 0.000 0.592
#> 1329E1C1-743E-4541-9081-165572D4BF47 4 0.0451 0.85888 0.000 0.004 0.000 0.988 0.008
#> 1F3F8680-EEB6-4532-B81D-51957D1EA502 1 0.1043 0.93381 0.960 0.000 0.000 0.000 0.040
#> 50F69785-8B7A-4933-85B1-8DC539ACC72A 1 0.0000 0.95054 1.000 0.000 0.000 0.000 0.000
#> 9095FDD8-EEB2-4B17-85AB-3CDAC0BEC759 4 0.4182 0.39937 0.000 0.000 0.004 0.644 0.352
#> B6BF8C22-03E4-44F0-B2EF-2A3DD6ADE7D7 1 0.1121 0.93163 0.956 0.000 0.000 0.000 0.044
#> D6A907FC-3A1B-4E3B-A440-1CE9BE9B334B 4 0.1792 0.79623 0.000 0.084 0.000 0.916 0.000
#> 02588D5D-89CB-4D0B-9E96-A0270C3FF866 1 0.4687 0.52516 0.672 0.288 0.000 0.000 0.040
#> D50BBFC7-7774-4B12-938C-8D5373C12DFC 2 0.3336 0.77094 0.000 0.772 0.000 0.228 0.000
#> 6E930060-502B-49F5-A385-9B91DEBD05E4 5 0.3043 0.69105 0.000 0.000 0.080 0.056 0.864
#> F6606A8E-ACC6-4826-9547-E0017521724D 1 0.0404 0.94841 0.988 0.000 0.000 0.000 0.012
#> 981584D3-10DB-455C-8132-E8E5F44E1222 1 0.0963 0.93597 0.964 0.000 0.000 0.000 0.036
#> 47F6E197-7164-4289-95B5-8FD305A13B4C 1 0.0000 0.95054 1.000 0.000 0.000 0.000 0.000
#> 4522D871-9379-4643-B15E-9ACB556276C4 3 0.0000 0.89811 0.000 0.000 1.000 0.000 0.000
#> 7560B2B5-6AF5-4600-9F0A-BE25CF99B6B9 1 0.0404 0.94841 0.988 0.000 0.000 0.000 0.012
#> 38F5957E-0A99-432D-8F0B-B48E03F17668 1 0.4307 0.03681 0.504 0.000 0.000 0.000 0.496
#> 7A6BBBE6-2B3B-44EB-A101-C823739AB24F 2 0.0000 0.74522 0.000 1.000 0.000 0.000 0.000
#> 0782D25A-3B14-499E-A40C-3852B3A15B8B 4 0.1608 0.80891 0.000 0.072 0.000 0.928 0.000
#> 31D4B639-D1E5-479B-AEC2-34F758F2E470 1 0.0000 0.95054 1.000 0.000 0.000 0.000 0.000
#> C49078E1-E730-4E81-8EAE-5AAAB9FA1BF5 1 0.0963 0.93597 0.964 0.000 0.000 0.000 0.036
#> 48BCD3B8-917F-4E8F-BCEA-1363570A6486 1 0.1197 0.92932 0.952 0.000 0.000 0.000 0.048
#> F3BA6259-9F68-47D0-ABDD-1272AE112CAB 2 0.4268 0.51352 0.000 0.556 0.000 0.444 0.000
#> 3CA49BB1-30F6-47F3-A751-D5601E16BDBA 1 0.0000 0.95054 1.000 0.000 0.000 0.000 0.000
#> 47747595-686A-46B5-9EF4-A4CFB85D746D 3 0.0000 0.89811 0.000 0.000 1.000 0.000 0.000
#> 87974EFF-C2DE-4930-93E3-015E6D996440 4 0.3857 0.34505 0.000 0.312 0.000 0.688 0.000
#> 7D272E6C-826D-4D02-8383-6A3D5BBF3A5F 3 0.0000 0.89811 0.000 0.000 1.000 0.000 0.000
#> 070E540B-34DB-4016-B573-84924407F57F 1 0.0510 0.94732 0.984 0.000 0.000 0.000 0.016
#> 63F4281A-4D90-4589-879E-549097FB3459 1 0.0000 0.95054 1.000 0.000 0.000 0.000 0.000
#> 93A66EA0-0C74-4342-8140-72ECB01F99A1 1 0.0510 0.94732 0.984 0.000 0.000 0.000 0.016
#> C92AD683-FD09-4DD2-A5A5-C72EA5DD9B46 4 0.0955 0.84765 0.000 0.000 0.004 0.968 0.028
#> 38D2BE9E-15D4-47BC-8FEB-55310F23825B 4 0.4264 0.41881 0.000 0.376 0.000 0.620 0.004
#> B3029936-1EEF-4378-AA28-D5B2A32CDC86 1 0.0404 0.94841 0.988 0.000 0.000 0.000 0.012
#> 9A33172F-AEEA-4B7D-9605-0C60D7872CEA 1 0.0000 0.95054 1.000 0.000 0.000 0.000 0.000
#> F2BC32E5-4117-468E-B637-9EDB6E9CC6C7 1 0.0510 0.94732 0.984 0.000 0.000 0.000 0.016
#> EC319D0D-96C5-49DB-A2C4-BB6BFED6844F 4 0.2351 0.79287 0.000 0.000 0.016 0.896 0.088
#> 8CB71499-1B35-417D-95E1-D85CE71A2D8A 4 0.4182 0.39739 0.000 0.000 0.004 0.644 0.352
#> C5986AA8-D1C7-47BB-946F-1AE00503A444 2 0.0290 0.74975 0.000 0.992 0.000 0.008 0.000
#> CDB44ECD-3F01-4865-B4CC-5190E0FB64DC 4 0.3999 0.41940 0.000 0.000 0.000 0.656 0.344
#> 57633DCE-DC21-42AE-82EB-81F532CE9840 2 0.0000 0.74522 0.000 1.000 0.000 0.000 0.000
#> 715C1406-D224-466D-968E-46889824CD3D 5 0.4030 0.42256 0.000 0.000 0.000 0.352 0.648
#> 86A9A426-4B69-4572-9AFF-103C2724E5EA 1 0.5139 0.48674 0.648 0.072 0.000 0.000 0.280
#> A73A2348-FC50-42A5-ADF0-6647E5ECF0EA 5 0.1478 0.72589 0.000 0.000 0.000 0.064 0.936
#> 4BF75CF9-DA61-4A0B-940C-B09C7FE864F0 5 0.1478 0.72589 0.000 0.000 0.000 0.064 0.936
#> E3D18696-51D7-4BE3-A32B-3196E5F80438 1 0.0510 0.94732 0.984 0.000 0.000 0.000 0.016
#> C4C7C112-555F-46D5-8D5D-411C7737A4C9 3 0.0000 0.89811 0.000 0.000 1.000 0.000 0.000
#> 0A3E0A3D-D396-4340-8D98-4B79DBFC312C 2 0.0880 0.76219 0.000 0.968 0.000 0.032 0.000
#> 5513114D-2503-4D11-ADA4-35BE010510E5 1 0.0510 0.94732 0.984 0.000 0.000 0.000 0.016
#> EDDCFDBA-B3E7-4E3F-97CB-D017C9DC9EF7 4 0.4430 0.12938 0.000 0.000 0.004 0.540 0.456
#> 7046C2F2-A8DE-4AE1-B27D-094CF2EF3B3D 2 0.2516 0.80147 0.000 0.860 0.000 0.140 0.000
#> 6869ABAF-343B-4C9B-8975-B26A2C895123 5 0.4656 0.10937 0.480 0.000 0.012 0.000 0.508
#> EC0B4E94-0FD0-4DBE-8E1A-14DBB0E63772 4 0.1792 0.79623 0.000 0.084 0.000 0.916 0.000
#> 245967F0-EE1A-4B0C-BEE2-0283393DA722 3 0.0000 0.89811 0.000 0.000 1.000 0.000 0.000
#> 9E5162FF-4316-42B2-882F-9CDBE2193686 4 0.3707 0.42167 0.000 0.284 0.000 0.716 0.000
#> 64FCCF76-C73F-401D-974A-BBB4F1CBC8A0 2 0.1043 0.71610 0.000 0.960 0.000 0.000 0.040
#> 20152BF5-FA56-4B98-8F20-FFEE20F8B1CB 1 0.0000 0.95054 1.000 0.000 0.000 0.000 0.000
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#> B29206B9-3682-4A5A-A7ED-3DF04361440C 4 0.1197 0.83166 0.000 0.048 0.000 0.952 0.000
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.0510 0.94732 0.984 0.000 0.000 0.000 0.016
#> E15EAAB4-0860-4716-9922-667F604CDF12 1 0.4283 0.10838 0.544 0.000 0.000 0.000 0.456
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 1 0.0000 0.95054 1.000 0.000 0.000 0.000 0.000
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 4 0.0324 0.85879 0.000 0.000 0.004 0.992 0.004
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 1 0.0609 0.94591 0.980 0.000 0.000 0.000 0.020
#> F37E118C-1066-4A84-B190-B9B78E265D94 4 0.1124 0.84219 0.000 0.000 0.036 0.960 0.004
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 2 0.3274 0.77656 0.000 0.780 0.000 0.220 0.000
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 2 0.0000 0.74522 0.000 1.000 0.000 0.000 0.000
#> E2A4C651-977F-4F40-B5EC-46DF75944141 1 0.0162 0.95006 0.996 0.000 0.000 0.000 0.004
#> 433599CC-9DF5-4494-A607-8079FFE74D95 4 0.1270 0.82828 0.000 0.052 0.000 0.948 0.000
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 4 0.1043 0.83745 0.000 0.040 0.000 0.960 0.000
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 2 0.2966 0.79643 0.000 0.816 0.000 0.184 0.000
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 4 0.0324 0.85879 0.000 0.000 0.004 0.992 0.004
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 4 0.0000 0.85955 0.000 0.000 0.000 1.000 0.000
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 1 0.0000 0.95054 1.000 0.000 0.000 0.000 0.000
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.0000 0.89811 0.000 0.000 1.000 0.000 0.000
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 2 0.2852 0.80093 0.000 0.828 0.000 0.172 0.000
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 2 0.0880 0.76234 0.000 0.968 0.000 0.032 0.000
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 1 0.0000 0.95054 1.000 0.000 0.000 0.000 0.000
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 1 0.1197 0.92932 0.952 0.000 0.000 0.000 0.048
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.4273 0.50552 0.000 0.552 0.000 0.448 0.000
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.0510 0.94732 0.984 0.000 0.000 0.000 0.016
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 1 0.3578 0.78171 0.820 0.132 0.000 0.000 0.048
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 4 0.2864 0.75777 0.000 0.000 0.136 0.852 0.012
#> 057B580C-13FD-4185-943C-9DD5266B8554 4 0.0609 0.85483 0.000 0.000 0.020 0.980 0.000
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 4 0.0162 0.85940 0.000 0.000 0.004 0.996 0.000
#> 287F3696-25CF-4E67-A934-E50856AD4790 2 0.2732 0.80311 0.000 0.840 0.000 0.160 0.000
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 4 0.1430 0.83102 0.000 0.052 0.004 0.944 0.000
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 1 0.0510 0.94732 0.984 0.000 0.000 0.000 0.016
#> B80A74AB-A264-4396-93F8-FD976DBC1456 2 0.2377 0.79817 0.000 0.872 0.000 0.128 0.000
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 4 0.4219 -0.08658 0.000 0.416 0.000 0.584 0.000
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 5 0.2426 0.71603 0.000 0.000 0.036 0.064 0.900
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 4 0.0324 0.85879 0.000 0.000 0.004 0.992 0.004
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 4 0.0162 0.85940 0.000 0.000 0.004 0.996 0.000
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 2 0.2719 0.64328 0.068 0.884 0.000 0.000 0.048
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 1 0.1197 0.92932 0.952 0.000 0.000 0.000 0.048
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.0510 0.94732 0.984 0.000 0.000 0.000 0.016
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 4 0.0000 0.85955 0.000 0.000 0.000 1.000 0.000
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.0510 0.75377 0.000 0.984 0.000 0.016 0.000
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.0880 0.93828 0.968 0.000 0.000 0.000 0.032
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 1 0.0963 0.93597 0.964 0.000 0.000 0.000 0.036
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 4 0.2424 0.73626 0.000 0.132 0.000 0.868 0.000
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 4 0.4302 0.03161 0.000 0.000 0.000 0.520 0.480
#> DD292494-92A2-43CB-B59B-726B2F429B29 4 0.0000 0.85955 0.000 0.000 0.000 1.000 0.000
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.0404 0.94841 0.988 0.000 0.000 0.000 0.012
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 4 0.4045 0.39323 0.000 0.000 0.000 0.644 0.356
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 4 0.0162 0.85940 0.000 0.000 0.004 0.996 0.000
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 1 0.0000 0.95054 1.000 0.000 0.000 0.000 0.000
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 4 0.0162 0.85940 0.000 0.000 0.004 0.996 0.000
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 3 0.0162 0.89437 0.000 0.000 0.996 0.000 0.004
#> 74CF740D-201D-4070-99B9-F007E7C4D472 1 0.0000 0.95054 1.000 0.000 0.000 0.000 0.000
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 1 0.1197 0.92932 0.952 0.000 0.000 0.000 0.048
#> 78F28873-E471-497A-9405-FB8955808599 2 0.0290 0.74038 0.000 0.992 0.000 0.000 0.008
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.4278 0.49736 0.000 0.548 0.000 0.452 0.000
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.0794 0.72927 0.028 0.972 0.000 0.000 0.000
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 1 0.1197 0.92932 0.952 0.000 0.000 0.000 0.048
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.0000 0.88762 0.000 0.000 1.000 0.000 0.000 0.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 3 0.5405 0.43175 0.200 0.000 0.644 0.028 0.000 0.128
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 4 0.0508 0.72574 0.004 0.000 0.000 0.984 0.012 0.000
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 4 0.1429 0.71442 0.052 0.000 0.000 0.940 0.004 0.004
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 2 0.4381 -0.17379 0.440 0.536 0.000 0.000 0.000 0.024
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 6 0.3686 0.58915 0.032 0.220 0.000 0.000 0.000 0.748
#> 966A3A03-3879-4816-A1E9-D805F6018836 5 0.2378 0.76256 0.000 0.000 0.000 0.152 0.848 0.000
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.3482 0.59434 0.000 0.684 0.000 0.000 0.000 0.316
#> 18971368-40F0-42D3-B1A3-707850C53B18 2 0.3499 0.59221 0.000 0.680 0.000 0.000 0.000 0.320
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 2 0.0260 0.46063 0.000 0.992 0.000 0.000 0.000 0.008
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 6 0.3515 0.67261 0.000 0.324 0.000 0.000 0.000 0.676
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 2 0.0146 0.46406 0.000 0.996 0.000 0.000 0.000 0.004
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 2 0.3804 0.38366 0.000 0.576 0.000 0.000 0.000 0.424
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 1 0.4326 0.55398 0.656 0.000 0.000 0.300 0.000 0.044
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 2 0.3515 0.58747 0.000 0.676 0.000 0.000 0.000 0.324
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 5 0.2964 0.71166 0.000 0.000 0.000 0.204 0.792 0.004
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 2 0.0363 0.45683 0.000 0.988 0.000 0.000 0.000 0.012
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 2 0.0260 0.46602 0.000 0.992 0.000 0.000 0.000 0.008
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.3043 0.62257 0.796 0.004 0.000 0.004 0.000 0.196
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 2 0.3847 0.27801 0.000 0.544 0.000 0.000 0.000 0.456
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 2 0.3482 0.59434 0.000 0.684 0.000 0.000 0.000 0.316
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 5 0.1910 0.71545 0.000 0.000 0.000 0.000 0.892 0.108
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 2 0.3482 0.59434 0.000 0.684 0.000 0.000 0.000 0.316
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 3 0.0000 0.88762 0.000 0.000 1.000 0.000 0.000 0.000
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 4 0.0891 0.72699 0.008 0.000 0.000 0.968 0.024 0.000
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 1 0.1630 0.62633 0.940 0.020 0.000 0.024 0.000 0.016
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 4 0.2905 0.65246 0.092 0.000 0.004 0.856 0.000 0.048
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 4 0.5549 -0.03557 0.352 0.000 0.004 0.516 0.000 0.128
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.3482 0.59434 0.000 0.684 0.000 0.000 0.000 0.316
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 5 0.2482 0.76378 0.000 0.000 0.000 0.148 0.848 0.004
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 2 0.3737 0.42356 0.000 0.608 0.000 0.000 0.000 0.392
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 5 0.0972 0.76745 0.000 0.000 0.000 0.028 0.964 0.008
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 4 0.2905 0.65188 0.092 0.000 0.004 0.856 0.000 0.048
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 5 0.1320 0.76671 0.000 0.000 0.000 0.036 0.948 0.016
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 5 0.5876 0.28137 0.380 0.008 0.000 0.068 0.508 0.036
#> BE56F908-42DD-4019-A8AC-48884DA788B1 4 0.2300 0.70512 0.000 0.000 0.000 0.856 0.144 0.000
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 2 0.0363 0.45683 0.000 0.988 0.000 0.000 0.000 0.012
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 2 0.0260 0.46063 0.000 0.992 0.000 0.000 0.000 0.008
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 3 0.0000 0.88762 0.000 0.000 1.000 0.000 0.000 0.000
#> 791D9EB8-42E0-4192-B064-B1126CA14481 2 0.3482 0.59434 0.000 0.684 0.000 0.000 0.000 0.316
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 5 0.2520 0.76269 0.000 0.000 0.000 0.152 0.844 0.004
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 5 0.2378 0.76182 0.000 0.000 0.000 0.152 0.848 0.000
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 2 0.3717 0.48390 0.000 0.616 0.000 0.000 0.000 0.384
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.5034 0.25914 0.472 0.000 0.000 0.456 0.000 0.072
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 3 0.0146 0.88161 0.000 0.004 0.996 0.000 0.000 0.000
#> D47C7B74-BB01-4614-B683-652F7130729C 5 0.2941 0.69665 0.000 0.000 0.000 0.220 0.780 0.000
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 2 0.0363 0.46808 0.000 0.988 0.000 0.000 0.000 0.012
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 4 0.3213 0.61166 0.132 0.000 0.000 0.820 0.000 0.048
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.7328 0.41135 0.396 0.000 0.200 0.268 0.000 0.136
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 4 0.3868 0.02388 0.000 0.000 0.000 0.508 0.492 0.000
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.3712 0.64075 0.768 0.000 0.000 0.052 0.000 0.180
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 1 0.2239 0.61385 0.900 0.072 0.000 0.008 0.000 0.020
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 2 0.0146 0.46406 0.000 0.996 0.000 0.000 0.000 0.004
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 5 0.0820 0.76169 0.000 0.000 0.000 0.016 0.972 0.012
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 3 0.0000 0.88762 0.000 0.000 1.000 0.000 0.000 0.000
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 4 0.0458 0.72158 0.016 0.000 0.000 0.984 0.000 0.000
#> 58F11B66-AE40-417E-B465-811C6CF7311C 1 0.2384 0.65515 0.888 0.000 0.000 0.064 0.000 0.048
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 2 0.3843 0.27043 0.000 0.548 0.000 0.000 0.000 0.452
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 4 0.2003 0.71963 0.000 0.000 0.000 0.884 0.116 0.000
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 4 0.2389 0.70770 0.008 0.000 0.000 0.864 0.128 0.000
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 2 0.0146 0.46406 0.000 0.996 0.000 0.000 0.000 0.004
#> 739952C6-FF36-4E34-B881-E02FE17C4012 2 0.3860 0.21440 0.000 0.528 0.000 0.000 0.000 0.472
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 2 0.3499 0.59221 0.000 0.680 0.000 0.000 0.000 0.320
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 4 0.3838 0.17698 0.000 0.000 0.000 0.552 0.448 0.000
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 6 0.3464 0.68170 0.000 0.312 0.000 0.000 0.000 0.688
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 1 0.2553 0.64057 0.848 0.000 0.000 0.008 0.000 0.144
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 2 0.3967 0.52778 0.012 0.632 0.000 0.000 0.000 0.356
#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 6 0.4356 0.43583 0.136 0.140 0.000 0.000 0.000 0.724
#> F6B26185-139B-47A7-91EC-E885D94AC882 6 0.3464 0.68170 0.000 0.312 0.000 0.000 0.000 0.688
#> 81F30B6F-3E9A-4913-986B-C56D5F107A17 2 0.3607 0.55193 0.000 0.652 0.000 0.000 0.000 0.348
#> 2CCB3AE1-0D27-4493-B7AE-67C60BBC1C38 5 0.2482 0.76378 0.000 0.000 0.000 0.148 0.848 0.004
#> 329665BC-B959-47C5-B831-5546F94EDAC1 2 0.3482 0.59434 0.000 0.684 0.000 0.000 0.000 0.316
#> 8D4335F6-6ACB-4E38-B9F2-A2B5B647AE90 2 0.3499 0.59221 0.000 0.680 0.000 0.000 0.000 0.320
#> D181D0D8-FD8C-4259-9B34-97224CF27E1B 2 0.3482 0.59434 0.000 0.684 0.000 0.000 0.000 0.316
#> C0C10950-ABC5-4125-A33E-5AFA2D2574B0 5 0.2146 0.77166 0.000 0.000 0.000 0.116 0.880 0.004
#> 834D12DB-0925-422C-B15B-20A60A5F658C 2 0.2883 0.28668 0.000 0.788 0.000 0.000 0.000 0.212
#> 50314689-519F-4B27-884C-7816DD64CF4E 4 0.2954 0.64845 0.096 0.000 0.004 0.852 0.000 0.048
#> 2502A23E-E168-4A78-9C14-B93FBC9715B1 6 0.3646 0.67690 0.004 0.292 0.004 0.000 0.000 0.700
#> 3F8D01A3-5449-48A1-BDBA-BFE4D908AE31 4 0.1584 0.72748 0.008 0.000 0.000 0.928 0.064 0.000
#> 1C47A87B-C033-4705-B903-DB33B8C6EC34 2 0.3784 0.10693 0.308 0.680 0.000 0.000 0.000 0.012
#> 1329E1C1-743E-4541-9081-165572D4BF47 4 0.3907 0.64798 0.152 0.000 0.000 0.764 0.084 0.000
#> 1F3F8680-EEB6-4532-B81D-51957D1EA502 2 0.0363 0.46909 0.000 0.988 0.000 0.000 0.000 0.012
#> 50F69785-8B7A-4933-85B1-8DC539ACC72A 2 0.3499 0.59221 0.000 0.680 0.000 0.000 0.000 0.320
#> 9095FDD8-EEB2-4B17-85AB-3CDAC0BEC759 4 0.5300 -0.19646 0.400 0.000 0.000 0.496 0.000 0.104
#> B6BF8C22-03E4-44F0-B2EF-2A3DD6ADE7D7 2 0.0260 0.47019 0.000 0.992 0.000 0.000 0.000 0.008
#> D6A907FC-3A1B-4E3B-A440-1CE9BE9B334B 4 0.2562 0.68382 0.000 0.000 0.000 0.828 0.172 0.000
#> 02588D5D-89CB-4D0B-9E96-A0270C3FF866 2 0.5769 -0.06805 0.000 0.504 0.000 0.000 0.220 0.276
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#> 24363857-9A33-40D4-8409-C17225570833 5 0.5915 0.55072 0.052 0.088 0.000 0.052 0.672 0.136
#> A57E6132-9B76-493A-A167-8462263B7CDB 2 0.3482 0.59434 0.000 0.684 0.000 0.000 0.000 0.316
#> 4C020890-E652-4DE4-B66D-5F6F71405F64 4 0.0363 0.72174 0.012 0.000 0.000 0.988 0.000 0.000
#> 90C991CD-412E-4318-96E3-EB84B868FE9F 5 0.1531 0.73364 0.000 0.000 0.000 0.004 0.928 0.068
#> FA8E73EA-649C-43ED-854E-B9472820D1C6 1 0.7624 0.38823 0.428 0.048 0.000 0.276 0.168 0.080
#> 4D46B5DE-186A-4D35-8E1B-64701C13BC69 5 0.2558 0.75863 0.000 0.000 0.000 0.156 0.840 0.004
#> D516A82D-2F77-46B2-90F7-30BA5C78AAC8 5 0.3396 0.69497 0.020 0.000 0.000 0.040 0.828 0.112
#> 1FBD0805-13AE-4A82-8B94-640E1C921262 6 0.3584 0.68146 0.000 0.308 0.004 0.000 0.000 0.688
#> 264525A9-F7DB-4012-A93B-CF8A7626F125 5 0.2482 0.76378 0.000 0.000 0.000 0.148 0.848 0.004
#> AFF029D8-FFC9-4AA9-8049-F1E27C743F6F 4 0.3804 0.25454 0.336 0.000 0.000 0.656 0.000 0.008
#> 5B65768D-0E81-4469-9D69-69B07ED5ACD5 2 0.3499 0.59221 0.000 0.680 0.000 0.000 0.000 0.320
#> 2CB06CA6-8D1F-4BC7-99BE-66921805B8FD 6 0.3684 0.59645 0.000 0.372 0.000 0.000 0.000 0.628
#> 956357FB-9AB3-497C-BB55-9D15B486A422 6 0.3528 0.67872 0.004 0.296 0.000 0.000 0.000 0.700
#> C8F2BAD0-7124-46BF-975C-4B44BE980F93 2 0.0363 0.46909 0.000 0.988 0.000 0.000 0.000 0.012
#> E96AE267-3E23-4EA9-93E2-D92558155A17 3 0.0000 0.88762 0.000 0.000 1.000 0.000 0.000 0.000
#> 1C8DCA5B-965B-485A-83B6-5CBEB2117E47 4 0.1124 0.72783 0.008 0.000 0.000 0.956 0.036 0.000
#> DEAB79F5-336A-49B4-8046-AEE2F567FE46 6 0.3508 0.67656 0.004 0.292 0.000 0.000 0.000 0.704
#> 767FE89E-E19F-4F56-A744-CB3C5CCC085B 4 0.0725 0.72536 0.012 0.000 0.000 0.976 0.012 0.000
#> 7B0BF632-79E5-46B5-AAC8-4A6D5A193449 5 0.2482 0.76378 0.000 0.000 0.000 0.148 0.848 0.004
#> 9A281EDE-FF96-4E66-AEF4-692BDFA8E99D 2 0.0146 0.46406 0.000 0.996 0.000 0.000 0.000 0.004
#> B8C2D019-00C9-4E1E-8383-4FE2FFB4D2D7 3 0.0000 0.88762 0.000 0.000 1.000 0.000 0.000 0.000
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#> 15EFBC5B-C713-4718-BB6F-0EBBE4D6997F 4 0.0858 0.72907 0.004 0.000 0.000 0.968 0.028 0.000
#> BBA00038-09B1-461D-9F8E-484890B0D130 4 0.0820 0.72635 0.012 0.000 0.000 0.972 0.016 0.000
#> 16EBB885-A692-42A6-9027-F6AD769E0ABB 4 0.3264 0.63051 0.076 0.000 0.004 0.832 0.000 0.088
#> 2D57E24B-97A6-4B85-BC8F-3E02DDC6C460 5 0.2697 0.72887 0.000 0.000 0.000 0.188 0.812 0.000
#> C6E39F86-9DEF-4BCA-930B-2A3993D18901 2 0.0146 0.46406 0.000 0.996 0.000 0.000 0.000 0.004
#> 5BE4D8E9-DA18-426F-8AE6-075B15010390 2 0.3789 0.40643 0.000 0.584 0.000 0.000 0.000 0.416
#> 8E9CAAC7-31D3-473C-821C-2DAD37B44D3A 4 0.3868 0.02388 0.000 0.000 0.000 0.508 0.492 0.000
#> 368CFCA3-7BAB-4D6D-9AE1-55713A9965C1 3 0.0000 0.88762 0.000 0.000 1.000 0.000 0.000 0.000
#> 14DB79EF-DE2B-4197-AD32-F657E0655FCD 2 0.2309 0.34542 0.084 0.888 0.000 0.000 0.000 0.028
#> E73BCFCB-C5FE-4BF2-A236-B9E69711C121 1 0.2146 0.64181 0.880 0.000 0.000 0.116 0.000 0.004
#> CDAFAFEA-365B-4F25-AEC0-639B6E0CB626 4 0.3733 0.40456 0.288 0.000 0.000 0.700 0.008 0.004
#> 48A2AAEB-7F60-4284-808E-2058A531B17C 5 0.1714 0.77357 0.000 0.000 0.000 0.092 0.908 0.000
#> D4276C6F-9F0F-4F74-A85E-1E54272ADDED 4 0.3866 0.05526 0.000 0.000 0.000 0.516 0.484 0.000
#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 4 0.3823 0.21268 0.000 0.000 0.000 0.564 0.436 0.000
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 4 0.0777 0.72729 0.004 0.000 0.000 0.972 0.024 0.000
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 4 0.4823 0.33817 0.000 0.000 0.388 0.552 0.060 0.000
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 6 0.3833 0.24180 0.000 0.444 0.000 0.000 0.000 0.556
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 3 0.0000 0.88762 0.000 0.000 1.000 0.000 0.000 0.000
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 2 0.3482 0.59434 0.000 0.684 0.000 0.000 0.000 0.316
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 2 0.5750 -0.04010 0.172 0.448 0.000 0.000 0.000 0.380
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 4 0.2814 0.60374 0.172 0.000 0.000 0.820 0.000 0.008
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 2 0.3782 0.41716 0.000 0.588 0.000 0.000 0.000 0.412
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 4 0.2257 0.71479 0.008 0.000 0.000 0.876 0.116 0.000
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 2 0.1141 0.48690 0.000 0.948 0.000 0.000 0.000 0.052
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 1 0.1471 0.64138 0.932 0.000 0.000 0.064 0.000 0.004
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 2 0.0363 0.45683 0.000 0.988 0.000 0.000 0.000 0.012
#> C7997523-47CF-40F0-8803-AB873E38033C 2 0.3499 0.59221 0.000 0.680 0.000 0.000 0.000 0.320
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 4 0.3499 0.49089 0.000 0.000 0.000 0.680 0.320 0.000
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 5 0.1957 0.71342 0.000 0.000 0.000 0.000 0.888 0.112
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 3 0.0000 0.88762 0.000 0.000 1.000 0.000 0.000 0.000
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 6 0.3601 0.67944 0.004 0.312 0.000 0.000 0.000 0.684
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 2 0.3482 0.59434 0.000 0.684 0.000 0.000 0.000 0.316
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 4 0.2333 0.66845 0.092 0.000 0.000 0.884 0.000 0.024
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 3 0.0000 0.88762 0.000 0.000 1.000 0.000 0.000 0.000
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 2 0.1141 0.48749 0.000 0.948 0.000 0.000 0.000 0.052
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 6 0.3719 0.61698 0.024 0.248 0.000 0.000 0.000 0.728
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 6 0.5113 0.48730 0.144 0.236 0.000 0.000 0.000 0.620
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 4 0.0914 0.72649 0.016 0.000 0.000 0.968 0.016 0.000
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 6 0.3531 0.66640 0.000 0.328 0.000 0.000 0.000 0.672
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 5 0.3489 0.58594 0.000 0.000 0.000 0.288 0.708 0.004
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 4 0.2135 0.71506 0.000 0.000 0.000 0.872 0.128 0.000
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 4 0.3847 0.15328 0.000 0.000 0.000 0.544 0.456 0.000
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 4 0.2212 0.71663 0.008 0.000 0.000 0.880 0.112 0.000
#> 1DEA6525-5598-4985-9218-D61912C75437 2 0.3867 0.13591 0.000 0.512 0.000 0.000 0.000 0.488
#> E15EAAB4-0860-4716-9922-667F604CDF12 2 0.6091 -0.18909 0.280 0.376 0.000 0.000 0.000 0.344
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 2 0.3482 0.59434 0.000 0.684 0.000 0.000 0.000 0.316
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 4 0.2670 0.66681 0.084 0.000 0.004 0.872 0.000 0.040
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 6 0.3584 0.68129 0.004 0.308 0.000 0.000 0.000 0.688
#> F37E118C-1066-4A84-B190-B9B78E265D94 4 0.5180 0.36616 0.208 0.000 0.012 0.648 0.000 0.132
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 5 0.2996 0.68905 0.000 0.000 0.000 0.228 0.772 0.000
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 5 0.2846 0.69289 0.008 0.016 0.000 0.004 0.856 0.116
#> E2A4C651-977F-4F40-B5EC-46DF75944141 2 0.3782 0.41745 0.000 0.588 0.000 0.000 0.000 0.412
#> 433599CC-9DF5-4494-A607-8079FFE74D95 4 0.1957 0.72200 0.000 0.000 0.000 0.888 0.112 0.000
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 4 0.1398 0.72830 0.008 0.000 0.000 0.940 0.052 0.000
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 5 0.2595 0.75582 0.000 0.000 0.000 0.160 0.836 0.004
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 4 0.2737 0.66376 0.084 0.000 0.004 0.868 0.000 0.044
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 4 0.2468 0.68030 0.060 0.000 0.004 0.888 0.000 0.048
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 2 0.3706 0.49259 0.000 0.620 0.000 0.000 0.000 0.380
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.0000 0.88762 0.000 0.000 1.000 0.000 0.000 0.000
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 5 0.2482 0.76378 0.000 0.000 0.000 0.148 0.848 0.004
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 5 0.0909 0.76351 0.000 0.000 0.000 0.020 0.968 0.012
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.3464 0.59367 0.000 0.688 0.000 0.000 0.000 0.312
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 2 0.1500 0.40048 0.052 0.936 0.000 0.000 0.000 0.012
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 4 0.3867 0.03996 0.000 0.000 0.000 0.512 0.488 0.000
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 6 0.3531 0.66640 0.000 0.328 0.000 0.000 0.000 0.672
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 2 0.4336 0.17528 0.000 0.724 0.000 0.000 0.160 0.116
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 4 0.5937 0.28126 0.212 0.000 0.064 0.604 0.000 0.120
#> 057B580C-13FD-4185-943C-9DD5266B8554 4 0.1769 0.70320 0.060 0.000 0.004 0.924 0.000 0.012
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 4 0.2113 0.69325 0.060 0.000 0.004 0.908 0.000 0.028
#> 287F3696-25CF-4E67-A934-E50856AD4790 5 0.2362 0.76749 0.000 0.000 0.000 0.136 0.860 0.004
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 4 0.1440 0.73190 0.004 0.000 0.004 0.944 0.044 0.004
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 6 0.3515 0.67261 0.000 0.324 0.000 0.000 0.000 0.676
#> B80A74AB-A264-4396-93F8-FD976DBC1456 5 0.1753 0.77352 0.000 0.000 0.000 0.084 0.912 0.004
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 4 0.3578 0.43531 0.000 0.000 0.000 0.660 0.340 0.000
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.4259 0.63698 0.740 0.000 0.008 0.076 0.000 0.176
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 4 0.2069 0.69326 0.068 0.000 0.004 0.908 0.000 0.020
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 4 0.1555 0.70753 0.060 0.000 0.004 0.932 0.000 0.004
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 5 0.5303 0.30912 0.000 0.332 0.000 0.000 0.548 0.120
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.0146 0.46406 0.000 0.996 0.000 0.000 0.000 0.004
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 6 0.3833 0.24210 0.000 0.444 0.000 0.000 0.000 0.556
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 4 0.0291 0.72300 0.004 0.000 0.000 0.992 0.004 0.000
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 5 0.0547 0.76533 0.000 0.000 0.000 0.020 0.980 0.000
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 6 0.3508 0.67656 0.004 0.292 0.000 0.000 0.000 0.704
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.1141 0.48723 0.000 0.948 0.000 0.000 0.000 0.052
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 4 0.1957 0.72080 0.000 0.000 0.000 0.888 0.112 0.000
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 1 0.3634 0.45353 0.644 0.000 0.000 0.356 0.000 0.000
#> DD292494-92A2-43CB-B59B-726B2F429B29 4 0.0891 0.72699 0.008 0.000 0.000 0.968 0.024 0.000
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 2 0.3833 0.32129 0.000 0.556 0.000 0.000 0.000 0.444
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 4 0.4405 -0.20431 0.472 0.000 0.000 0.504 0.000 0.024
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 4 0.1728 0.70320 0.064 0.000 0.004 0.924 0.000 0.008
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 2 0.3499 0.59221 0.000 0.680 0.000 0.000 0.000 0.320
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 4 0.1769 0.70320 0.060 0.000 0.004 0.924 0.000 0.012
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 3 0.0146 0.88369 0.000 0.000 0.996 0.000 0.000 0.004
#> 74CF740D-201D-4070-99B9-F007E7C4D472 2 0.3515 0.58747 0.000 0.676 0.000 0.000 0.000 0.324
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 2 0.0146 0.46406 0.000 0.996 0.000 0.000 0.000 0.004
#> 78F28873-E471-497A-9405-FB8955808599 5 0.2445 0.70182 0.004 0.008 0.000 0.000 0.868 0.120
#> 29294D9A-434B-4581-9591-63D16107C7B1 4 0.3866 0.05526 0.000 0.000 0.000 0.516 0.484 0.000
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 5 0.3043 0.69688 0.008 0.020 0.000 0.008 0.848 0.116
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 2 0.0146 0.46406 0.000 0.996 0.000 0.000 0.000 0.004
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["ATC", "pam"]
# you can also extract it by
# res = res_list["ATC:pam"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#> On a matrix with 17397 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 0.946 0.923 0.970 0.4156 0.596 0.596
#> 3 3 0.731 0.840 0.923 0.5058 0.734 0.566
#> 4 4 0.747 0.704 0.860 0.0974 0.911 0.770
#> 5 5 0.747 0.790 0.881 0.0674 0.901 0.709
#> 6 6 0.676 0.684 0.831 0.0468 0.969 0.884
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
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 2 0.0000 0.9664 0.000 1.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 2 0.0000 0.9664 0.000 1.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 2 0.0000 0.9664 0.000 1.000
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 2 0.0000 0.9664 0.000 1.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 2 0.9580 0.4054 0.380 0.620
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 1.0000 -0.0194 0.504 0.496
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.0000 0.9664 0.000 1.000
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 1 0.0000 0.9728 1.000 0.000
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.0000 0.9728 1.000 0.000
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 1 0.0000 0.9728 1.000 0.000
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 1 0.0000 0.9728 1.000 0.000
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 1 0.0000 0.9728 1.000 0.000
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.0000 0.9728 1.000 0.000
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 2 0.0000 0.9664 0.000 1.000
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.0000 0.9728 1.000 0.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 2 0.0000 0.9664 0.000 1.000
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 2 0.9833 0.2890 0.424 0.576
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 1 0.0000 0.9728 1.000 0.000
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 2 0.0376 0.9630 0.004 0.996
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.0000 0.9728 1.000 0.000
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 1 0.0000 0.9728 1.000 0.000
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 2 0.0000 0.9664 0.000 1.000
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 1 0.0000 0.9728 1.000 0.000
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 2 0.0000 0.9664 0.000 1.000
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#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 2 0.0000 0.9664 0.000 1.000
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#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 2 0.0000 0.9664 0.000 1.000
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#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 2 0.0000 0.9664 0.000 1.000
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 1 0.9795 0.2670 0.584 0.416
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.0000 0.9664 0.000 1.000
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#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 2 0.0000 0.9664 0.000 1.000
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.0000 0.9664 0.000 1.000
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#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 2 0.0672 0.9596 0.008 0.992
#> F6B26185-139B-47A7-91EC-E885D94AC882 1 0.0000 0.9728 1.000 0.000
#> 81F30B6F-3E9A-4913-986B-C56D5F107A17 1 0.0000 0.9728 1.000 0.000
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#> D181D0D8-FD8C-4259-9B34-97224CF27E1B 2 0.9754 0.3336 0.408 0.592
#> C0C10950-ABC5-4125-A33E-5AFA2D2574B0 2 0.0000 0.9664 0.000 1.000
#> 834D12DB-0925-422C-B15B-20A60A5F658C 1 0.4022 0.8910 0.920 0.080
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#> 38F5957E-0A99-432D-8F0B-B48E03F17668 1 0.9552 0.3786 0.624 0.376
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#> 130C8FBD-8D78-4212-8DD6-301EDFA339A9 2 0.0000 0.9664 0.000 1.000
#> 6C1FF3E9-0A8B-4B02-B0E9-EEF333E53592 1 0.0000 0.9728 1.000 0.000
#> 726497B7-C557-4D5C-A926-6DDA6136C899 1 0.0000 0.9728 1.000 0.000
#> 2299CD19-BF08-404C-B1BF-B570F12CCEF8 2 0.0000 0.9664 0.000 1.000
#> E8BCBDC5-E34E-422F-86C2-A4B30400EC86 1 0.0376 0.9691 0.996 0.004
#> B9EF0525-8B4A-4306-B06B-35AC457F5F48 2 0.0000 0.9664 0.000 1.000
#> F663E106-4E34-46C8-9CD9-AE5E9B8B27F0 1 0.0000 0.9728 1.000 0.000
#> 94E26CD5-238B-4D8C-B8E8-A62C44EB2B41 2 0.9522 0.4246 0.372 0.628
#> 135743C3-829E-46DC-BBA9-FF07C8067612 2 0.0000 0.9664 0.000 1.000
#> CBD7775A-2802-4EB7-9F62-6B80D7667AED 2 0.0000 0.9664 0.000 1.000
#> BD6DAD3D-2D5F-4560-9A4C-70D8A1D49732 2 0.0000 0.9664 0.000 1.000
#> ED86F92E-6B39-4C0C-9A60-870984F53C4D 2 0.9963 0.1625 0.464 0.536
#> CD3B289F-FAE1-405F-875F-23C1D2609DFC 2 0.0000 0.9664 0.000 1.000
#> D1C0E70B-B2BB-4FE7-8DEC-B50659739BAA 1 0.0000 0.9728 1.000 0.000
#> D2417A9C-CBF0-47F6-B20C-FB32AF632A84 1 0.0000 0.9728 1.000 0.000
#> EF5618C6-6AFB-4FB5-A32B-7946F18E9736 2 0.0000 0.9664 0.000 1.000
#> 36040CAB-FF77-4540-BB44-7961A6A54B29 2 0.0000 0.9664 0.000 1.000
#> 3808C3A9-22DA-4DC5-9F51-884A7EF574E6 2 0.0000 0.9664 0.000 1.000
#> 24363857-9A33-40D4-8409-C17225570833 2 0.0000 0.9664 0.000 1.000
#> A57E6132-9B76-493A-A167-8462263B7CDB 1 0.0000 0.9728 1.000 0.000
#> 4C020890-E652-4DE4-B66D-5F6F71405F64 2 0.0000 0.9664 0.000 1.000
#> 90C991CD-412E-4318-96E3-EB84B868FE9F 2 0.0000 0.9664 0.000 1.000
#> FA8E73EA-649C-43ED-854E-B9472820D1C6 2 0.0000 0.9664 0.000 1.000
#> 4D46B5DE-186A-4D35-8E1B-64701C13BC69 2 0.0000 0.9664 0.000 1.000
#> D516A82D-2F77-46B2-90F7-30BA5C78AAC8 2 0.0000 0.9664 0.000 1.000
#> 1FBD0805-13AE-4A82-8B94-640E1C921262 1 0.0000 0.9728 1.000 0.000
#> 264525A9-F7DB-4012-A93B-CF8A7626F125 2 0.0000 0.9664 0.000 1.000
#> AFF029D8-FFC9-4AA9-8049-F1E27C743F6F 2 0.0000 0.9664 0.000 1.000
#> 5B65768D-0E81-4469-9D69-69B07ED5ACD5 1 0.0000 0.9728 1.000 0.000
#> 2CB06CA6-8D1F-4BC7-99BE-66921805B8FD 2 0.9580 0.4054 0.380 0.620
#> 956357FB-9AB3-497C-BB55-9D15B486A422 1 0.3879 0.8956 0.924 0.076
#> C8F2BAD0-7124-46BF-975C-4B44BE980F93 1 0.0000 0.9728 1.000 0.000
#> E96AE267-3E23-4EA9-93E2-D92558155A17 2 0.0000 0.9664 0.000 1.000
#> 1C8DCA5B-965B-485A-83B6-5CBEB2117E47 2 0.0000 0.9664 0.000 1.000
#> DEAB79F5-336A-49B4-8046-AEE2F567FE46 1 0.0000 0.9728 1.000 0.000
#> 767FE89E-E19F-4F56-A744-CB3C5CCC085B 2 0.0000 0.9664 0.000 1.000
#> 7B0BF632-79E5-46B5-AAC8-4A6D5A193449 2 0.0000 0.9664 0.000 1.000
#> 9A281EDE-FF96-4E66-AEF4-692BDFA8E99D 1 0.0000 0.9728 1.000 0.000
#> B8C2D019-00C9-4E1E-8383-4FE2FFB4D2D7 2 0.0000 0.9664 0.000 1.000
#> 39A9B95F-186B-4550-9271-001151B1A626 2 0.0000 0.9664 0.000 1.000
#> CAD6E491-88FB-4221-90E9-AC9C68AECCB0 2 0.0000 0.9664 0.000 1.000
#> 15EFBC5B-C713-4718-BB6F-0EBBE4D6997F 2 0.0000 0.9664 0.000 1.000
#> BBA00038-09B1-461D-9F8E-484890B0D130 2 0.0000 0.9664 0.000 1.000
#> 16EBB885-A692-42A6-9027-F6AD769E0ABB 2 0.0000 0.9664 0.000 1.000
#> 2D57E24B-97A6-4B85-BC8F-3E02DDC6C460 2 0.0000 0.9664 0.000 1.000
#> C6E39F86-9DEF-4BCA-930B-2A3993D18901 1 0.9710 0.3135 0.600 0.400
#> 5BE4D8E9-DA18-426F-8AE6-075B15010390 1 0.0000 0.9728 1.000 0.000
#> 8E9CAAC7-31D3-473C-821C-2DAD37B44D3A 2 0.0000 0.9664 0.000 1.000
#> 368CFCA3-7BAB-4D6D-9AE1-55713A9965C1 2 0.0000 0.9664 0.000 1.000
#> 14DB79EF-DE2B-4197-AD32-F657E0655FCD 2 0.9427 0.4522 0.360 0.640
#> E73BCFCB-C5FE-4BF2-A236-B9E69711C121 2 0.0000 0.9664 0.000 1.000
#> CDAFAFEA-365B-4F25-AEC0-639B6E0CB626 2 0.0000 0.9664 0.000 1.000
#> 48A2AAEB-7F60-4284-808E-2058A531B17C 2 0.0000 0.9664 0.000 1.000
#> D4276C6F-9F0F-4F74-A85E-1E54272ADDED 2 0.0000 0.9664 0.000 1.000
#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 2 0.0000 0.9664 0.000 1.000
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 2 0.0000 0.9664 0.000 1.000
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 2 0.0000 0.9664 0.000 1.000
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 1 0.0000 0.9728 1.000 0.000
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 2 0.0000 0.9664 0.000 1.000
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 1 0.0000 0.9728 1.000 0.000
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 2 0.2043 0.9383 0.032 0.968
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 2 0.0000 0.9664 0.000 1.000
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 1 0.0000 0.9728 1.000 0.000
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 2 0.0000 0.9664 0.000 1.000
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 1 0.0000 0.9728 1.000 0.000
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 2 0.0000 0.9664 0.000 1.000
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 2 0.9775 0.3227 0.412 0.588
#> C7997523-47CF-40F0-8803-AB873E38033C 1 0.0000 0.9728 1.000 0.000
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 2 0.0000 0.9664 0.000 1.000
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 2 0.0000 0.9664 0.000 1.000
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 2 0.0000 0.9664 0.000 1.000
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 1 0.0000 0.9728 1.000 0.000
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 1 0.0000 0.9728 1.000 0.000
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 2 0.0000 0.9664 0.000 1.000
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 2 0.0000 0.9664 0.000 1.000
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 1 0.0000 0.9728 1.000 0.000
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 2 0.9000 0.5442 0.316 0.684
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 2 0.9580 0.4054 0.380 0.620
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 2 0.0000 0.9664 0.000 1.000
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 1 0.0000 0.9728 1.000 0.000
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 2 0.0000 0.9664 0.000 1.000
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 2 0.0000 0.9664 0.000 1.000
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 2 0.0000 0.9664 0.000 1.000
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 2 0.0000 0.9664 0.000 1.000
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.0000 0.9728 1.000 0.000
#> E15EAAB4-0860-4716-9922-667F604CDF12 2 0.0000 0.9664 0.000 1.000
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 1 0.0000 0.9728 1.000 0.000
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 2 0.0000 0.9664 0.000 1.000
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 2 0.1843 0.9420 0.028 0.972
#> F37E118C-1066-4A84-B190-B9B78E265D94 2 0.0000 0.9664 0.000 1.000
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 2 0.0000 0.9664 0.000 1.000
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 2 0.0000 0.9664 0.000 1.000
#> E2A4C651-977F-4F40-B5EC-46DF75944141 1 0.0000 0.9728 1.000 0.000
#> 433599CC-9DF5-4494-A607-8079FFE74D95 2 0.0000 0.9664 0.000 1.000
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 2 0.0000 0.9664 0.000 1.000
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 2 0.0000 0.9664 0.000 1.000
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 2 0.0000 0.9664 0.000 1.000
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 2 0.0000 0.9664 0.000 1.000
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 1 0.0000 0.9728 1.000 0.000
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 2 0.0000 0.9664 0.000 1.000
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 2 0.0000 0.9664 0.000 1.000
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 2 0.0000 0.9664 0.000 1.000
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.2236 0.9344 0.036 0.964
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 2 0.9833 0.2890 0.424 0.576
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.0000 0.9664 0.000 1.000
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.0000 0.9728 1.000 0.000
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 2 0.9775 0.3227 0.412 0.588
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 2 0.0000 0.9664 0.000 1.000
#> 057B580C-13FD-4185-943C-9DD5266B8554 2 0.0000 0.9664 0.000 1.000
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 2 0.0000 0.9664 0.000 1.000
#> 287F3696-25CF-4E67-A934-E50856AD4790 2 0.0000 0.9664 0.000 1.000
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.0000 0.9664 0.000 1.000
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 1 0.0000 0.9728 1.000 0.000
#> B80A74AB-A264-4396-93F8-FD976DBC1456 2 0.0000 0.9664 0.000 1.000
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.0000 0.9664 0.000 1.000
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 2 0.0000 0.9664 0.000 1.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 2 0.0000 0.9664 0.000 1.000
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 2 0.0000 0.9664 0.000 1.000
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 2 0.0376 0.9630 0.004 0.996
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 1 0.0000 0.9728 1.000 0.000
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.0000 0.9728 1.000 0.000
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 2 0.0000 0.9664 0.000 1.000
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.0000 0.9664 0.000 1.000
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.7745 0.6876 0.772 0.228
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 1 0.0000 0.9728 1.000 0.000
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 2 0.0000 0.9664 0.000 1.000
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 2 0.0000 0.9664 0.000 1.000
#> DD292494-92A2-43CB-B59B-726B2F429B29 2 0.0000 0.9664 0.000 1.000
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.0000 0.9728 1.000 0.000
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 2 0.0000 0.9664 0.000 1.000
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 2 0.0000 0.9664 0.000 1.000
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 1 0.0000 0.9728 1.000 0.000
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 2 0.0000 0.9664 0.000 1.000
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 2 0.0000 0.9664 0.000 1.000
#> 74CF740D-201D-4070-99B9-F007E7C4D472 1 0.0000 0.9728 1.000 0.000
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 1 0.0000 0.9728 1.000 0.000
#> 78F28873-E471-497A-9405-FB8955808599 2 0.0000 0.9664 0.000 1.000
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.0000 0.9664 0.000 1.000
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.0000 0.9664 0.000 1.000
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 1 0.0000 0.9728 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 2 0.4605 0.71789 0.000 0.796 0.204
#> 5A147DAD-7390-4C90-9921-45CB05066827 2 0.0892 0.91041 0.000 0.980 0.020
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 3 0.4605 0.80679 0.000 0.204 0.796
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 3 0.4605 0.80679 0.000 0.204 0.796
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 2 0.0000 0.91795 0.000 1.000 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 2 0.3340 0.79896 0.120 0.880 0.000
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.6308 -0.27204 0.000 0.508 0.492
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 1 0.0000 0.97508 1.000 0.000 0.000
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.0000 0.97508 1.000 0.000 0.000
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 1 0.0892 0.96571 0.980 0.020 0.000
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 1 0.0892 0.96571 0.980 0.020 0.000
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 1 0.0892 0.96571 0.980 0.020 0.000
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.0000 0.97508 1.000 0.000 0.000
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 2 0.0000 0.91795 0.000 1.000 0.000
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.0000 0.97508 1.000 0.000 0.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 3 0.0000 0.81361 0.000 0.000 1.000
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 2 0.0000 0.91795 0.000 1.000 0.000
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 1 0.0892 0.96571 0.980 0.020 0.000
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 2 0.0000 0.91795 0.000 1.000 0.000
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.0000 0.97508 1.000 0.000 0.000
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 1 0.0237 0.97418 0.996 0.004 0.000
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 2 0.0000 0.91795 0.000 1.000 0.000
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 1 0.0000 0.97508 1.000 0.000 0.000
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 2 0.3038 0.82243 0.000 0.896 0.104
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 2 0.5216 0.53909 0.000 0.740 0.260
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 2 0.0000 0.91795 0.000 1.000 0.000
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 3 0.5810 0.66368 0.000 0.336 0.664
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 2 0.0000 0.91795 0.000 1.000 0.000
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 1 0.0000 0.97508 1.000 0.000 0.000
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 3 0.0000 0.81361 0.000 0.000 1.000
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 2 0.4235 0.72977 0.176 0.824 0.000
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.1411 0.89930 0.000 0.964 0.036
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 2 0.5591 0.43202 0.000 0.696 0.304
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 2 0.1031 0.90776 0.000 0.976 0.024
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 2 0.0000 0.91795 0.000 1.000 0.000
#> BE56F908-42DD-4019-A8AC-48884DA788B1 3 0.4555 0.80834 0.000 0.200 0.800
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 1 0.6126 0.34049 0.600 0.400 0.000
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 1 0.0892 0.96571 0.980 0.020 0.000
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 2 0.4346 0.73712 0.000 0.816 0.184
#> 791D9EB8-42E0-4192-B064-B1126CA14481 1 0.0424 0.97238 0.992 0.008 0.000
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 3 0.0892 0.82640 0.000 0.020 0.980
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 2 0.0892 0.91041 0.000 0.980 0.020
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#> 956357FB-9AB3-497C-BB55-9D15B486A422 1 0.6305 0.07186 0.516 0.484 0.000
#> C8F2BAD0-7124-46BF-975C-4B44BE980F93 1 0.0237 0.97418 0.996 0.004 0.000
#> E96AE267-3E23-4EA9-93E2-D92558155A17 3 0.0000 0.81361 0.000 0.000 1.000
#> 1C8DCA5B-965B-485A-83B6-5CBEB2117E47 2 0.0892 0.91041 0.000 0.980 0.020
#> DEAB79F5-336A-49B4-8046-AEE2F567FE46 1 0.0892 0.96571 0.980 0.020 0.000
#> 767FE89E-E19F-4F56-A744-CB3C5CCC085B 3 0.4605 0.80679 0.000 0.204 0.796
#> 7B0BF632-79E5-46B5-AAC8-4A6D5A193449 3 0.2537 0.81519 0.000 0.080 0.920
#> 9A281EDE-FF96-4E66-AEF4-692BDFA8E99D 1 0.0892 0.96571 0.980 0.020 0.000
#> B8C2D019-00C9-4E1E-8383-4FE2FFB4D2D7 3 0.0000 0.81361 0.000 0.000 1.000
#> 39A9B95F-186B-4550-9271-001151B1A626 3 0.0892 0.82640 0.000 0.020 0.980
#> CAD6E491-88FB-4221-90E9-AC9C68AECCB0 2 0.0892 0.91041 0.000 0.980 0.020
#> 15EFBC5B-C713-4718-BB6F-0EBBE4D6997F 2 0.0892 0.91041 0.000 0.980 0.020
#> BBA00038-09B1-461D-9F8E-484890B0D130 3 0.4555 0.80834 0.000 0.200 0.800
#> 16EBB885-A692-42A6-9027-F6AD769E0ABB 2 0.1163 0.90477 0.000 0.972 0.028
#> 2D57E24B-97A6-4B85-BC8F-3E02DDC6C460 3 0.2959 0.80847 0.000 0.100 0.900
#> C6E39F86-9DEF-4BCA-930B-2A3993D18901 2 0.4235 0.72984 0.176 0.824 0.000
#> 5BE4D8E9-DA18-426F-8AE6-075B15010390 1 0.0000 0.97508 1.000 0.000 0.000
#> 8E9CAAC7-31D3-473C-821C-2DAD37B44D3A 3 0.5760 0.68703 0.000 0.328 0.672
#> 368CFCA3-7BAB-4D6D-9AE1-55713A9965C1 3 0.5678 0.50390 0.000 0.316 0.684
#> 14DB79EF-DE2B-4197-AD32-F657E0655FCD 2 0.0000 0.91795 0.000 1.000 0.000
#> E73BCFCB-C5FE-4BF2-A236-B9E69711C121 2 0.0000 0.91795 0.000 1.000 0.000
#> CDAFAFEA-365B-4F25-AEC0-639B6E0CB626 2 0.0892 0.91041 0.000 0.980 0.020
#> 48A2AAEB-7F60-4284-808E-2058A531B17C 3 0.4702 0.72115 0.000 0.212 0.788
#> D4276C6F-9F0F-4F74-A85E-1E54272ADDED 2 0.2537 0.85133 0.000 0.920 0.080
#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 2 0.0892 0.91041 0.000 0.980 0.020
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 3 0.4605 0.80679 0.000 0.204 0.796
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 2 0.2711 0.85931 0.000 0.912 0.088
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 1 0.0000 0.97508 1.000 0.000 0.000
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 2 0.4346 0.73712 0.000 0.816 0.184
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 1 0.0000 0.97508 1.000 0.000 0.000
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 2 0.0000 0.91795 0.000 1.000 0.000
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 2 0.0892 0.91041 0.000 0.980 0.020
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 1 0.0000 0.97508 1.000 0.000 0.000
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 3 0.5760 0.68703 0.000 0.328 0.672
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 1 0.0747 0.96812 0.984 0.016 0.000
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 2 0.0000 0.91795 0.000 1.000 0.000
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 2 0.0000 0.91795 0.000 1.000 0.000
#> C7997523-47CF-40F0-8803-AB873E38033C 1 0.0000 0.97508 1.000 0.000 0.000
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 3 0.4605 0.80679 0.000 0.204 0.796
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 2 0.6295 0.10944 0.000 0.528 0.472
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 3 0.0000 0.81361 0.000 0.000 1.000
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 1 0.0237 0.97418 0.996 0.004 0.000
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 1 0.0000 0.97508 1.000 0.000 0.000
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 2 0.0892 0.91041 0.000 0.980 0.020
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 3 0.0000 0.81361 0.000 0.000 1.000
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 1 0.0237 0.97418 0.996 0.004 0.000
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 2 0.0000 0.91795 0.000 1.000 0.000
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 2 0.0000 0.91795 0.000 1.000 0.000
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 3 0.4555 0.80834 0.000 0.200 0.800
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 1 0.0000 0.97508 1.000 0.000 0.000
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 3 0.6215 0.40891 0.000 0.428 0.572
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 3 0.0892 0.82640 0.000 0.020 0.980
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 3 0.6008 0.61764 0.000 0.372 0.628
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 2 0.6111 0.11539 0.000 0.604 0.396
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.0000 0.97508 1.000 0.000 0.000
#> E15EAAB4-0860-4716-9922-667F604CDF12 2 0.0000 0.91795 0.000 1.000 0.000
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 1 0.0237 0.97418 0.996 0.004 0.000
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 2 0.1031 0.90776 0.000 0.976 0.024
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 2 0.0000 0.91795 0.000 1.000 0.000
#> F37E118C-1066-4A84-B190-B9B78E265D94 3 0.5733 0.68214 0.000 0.324 0.676
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 3 0.5810 0.67574 0.000 0.336 0.664
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 2 0.0000 0.91795 0.000 1.000 0.000
#> E2A4C651-977F-4F40-B5EC-46DF75944141 1 0.0000 0.97508 1.000 0.000 0.000
#> 433599CC-9DF5-4494-A607-8079FFE74D95 3 0.0892 0.82640 0.000 0.020 0.980
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 3 0.5760 0.68703 0.000 0.328 0.672
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 3 0.0892 0.82640 0.000 0.020 0.980
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 3 0.4605 0.80679 0.000 0.204 0.796
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 2 0.6299 -0.19890 0.000 0.524 0.476
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 1 0.0000 0.97508 1.000 0.000 0.000
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.0000 0.81361 0.000 0.000 1.000
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 3 0.4235 0.75828 0.000 0.176 0.824
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 3 0.4887 0.70197 0.000 0.228 0.772
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.0000 0.91795 0.000 1.000 0.000
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 2 0.0000 0.91795 0.000 1.000 0.000
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 3 0.0892 0.82640 0.000 0.020 0.980
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.0000 0.97508 1.000 0.000 0.000
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 2 0.4346 0.73712 0.000 0.816 0.184
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 2 0.0892 0.91041 0.000 0.980 0.020
#> 057B580C-13FD-4185-943C-9DD5266B8554 3 0.5098 0.77272 0.000 0.248 0.752
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 3 0.4121 0.81670 0.000 0.168 0.832
#> 287F3696-25CF-4E67-A934-E50856AD4790 2 0.4555 0.72987 0.000 0.800 0.200
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 2 0.5465 0.47335 0.000 0.712 0.288
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 1 0.0892 0.96571 0.980 0.020 0.000
#> B80A74AB-A264-4396-93F8-FD976DBC1456 3 0.0892 0.82640 0.000 0.020 0.980
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 3 0.4605 0.80679 0.000 0.204 0.796
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 2 0.0000 0.91795 0.000 1.000 0.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 2 0.0892 0.91041 0.000 0.980 0.020
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 3 0.4605 0.80679 0.000 0.204 0.796
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 2 0.1643 0.88659 0.000 0.956 0.044
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 1 0.0237 0.97418 0.996 0.004 0.000
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.0000 0.97508 1.000 0.000 0.000
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 3 0.6111 0.57065 0.000 0.396 0.604
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.3686 0.78953 0.000 0.860 0.140
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 2 0.5882 0.45307 0.348 0.652 0.000
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 1 0.0892 0.96571 0.980 0.020 0.000
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 3 0.6204 0.51153 0.000 0.424 0.576
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 2 0.0000 0.91795 0.000 1.000 0.000
#> DD292494-92A2-43CB-B59B-726B2F429B29 3 0.4605 0.80679 0.000 0.204 0.796
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.0237 0.97418 0.996 0.004 0.000
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 2 0.0747 0.91211 0.000 0.984 0.016
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 2 0.1031 0.90776 0.000 0.976 0.024
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 1 0.0000 0.97508 1.000 0.000 0.000
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 3 0.4605 0.80679 0.000 0.204 0.796
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 2 0.3879 0.77571 0.000 0.848 0.152
#> 74CF740D-201D-4070-99B9-F007E7C4D472 1 0.0000 0.97508 1.000 0.000 0.000
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 1 0.0237 0.97418 0.996 0.004 0.000
#> 78F28873-E471-497A-9405-FB8955808599 2 0.4399 0.73340 0.000 0.812 0.188
#> 29294D9A-434B-4581-9591-63D16107C7B1 3 0.4750 0.79923 0.000 0.216 0.784
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.0000 0.91795 0.000 1.000 0.000
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 1 0.0747 0.96813 0.984 0.016 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.6384 0.4316 0.400 0.068 0.532 0.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.0000 0.8680 1.000 0.000 0.000 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 4 0.0000 0.8351 0.000 0.000 0.000 1.000
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 4 0.3610 0.5425 0.200 0.000 0.000 0.800
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.4713 0.4717 0.640 0.360 0.000 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 2 0.4888 0.0463 0.412 0.588 0.000 0.000
#> 966A3A03-3879-4816-A1E9-D805F6018836 4 0.3764 0.5214 0.216 0.000 0.000 0.784
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.4985 0.6317 0.000 0.532 0.468 0.000
#> 18971368-40F0-42D3-B1A3-707850C53B18 2 0.4985 0.6317 0.000 0.532 0.468 0.000
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 2 0.0000 0.7723 0.000 1.000 0.000 0.000
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 2 0.0000 0.7723 0.000 1.000 0.000 0.000
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 2 0.0000 0.7723 0.000 1.000 0.000 0.000
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 2 0.0000 0.7723 0.000 1.000 0.000 0.000
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 1 0.0000 0.8680 1.000 0.000 0.000 0.000
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 2 0.4985 0.6317 0.000 0.532 0.468 0.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 4 0.0000 0.8351 0.000 0.000 0.000 1.000
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 1 0.4985 0.3276 0.532 0.468 0.000 0.000
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 2 0.0000 0.7723 0.000 1.000 0.000 0.000
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.0188 0.8653 0.996 0.004 0.000 0.000
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 2 0.0000 0.7723 0.000 1.000 0.000 0.000
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 2 0.0000 0.7723 0.000 1.000 0.000 0.000
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 1 0.0000 0.8680 1.000 0.000 0.000 0.000
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 2 0.0000 0.7723 0.000 1.000 0.000 0.000
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 1 0.0188 0.8649 0.996 0.000 0.000 0.004
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 1 0.4134 0.5125 0.740 0.000 0.000 0.260
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 1 0.0000 0.8680 1.000 0.000 0.000 0.000
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 4 0.4916 0.1263 0.424 0.000 0.000 0.576
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 1 0.0000 0.8680 1.000 0.000 0.000 0.000
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.4985 0.6317 0.000 0.532 0.468 0.000
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 4 0.0000 0.8351 0.000 0.000 0.000 1.000
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 2 0.4697 0.2318 0.356 0.644 0.000 0.000
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 1 0.1637 0.8048 0.940 0.000 0.000 0.060
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.4431 0.4375 0.696 0.000 0.000 0.304
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 1 0.0817 0.8481 0.976 0.000 0.000 0.024
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 1 0.0000 0.8680 1.000 0.000 0.000 0.000
#> BE56F908-42DD-4019-A8AC-48884DA788B1 4 0.0000 0.8351 0.000 0.000 0.000 1.000
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 2 0.0000 0.7723 0.000 1.000 0.000 0.000
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 2 0.0000 0.7723 0.000 1.000 0.000 0.000
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 1 0.0000 0.8680 1.000 0.000 0.000 0.000
#> 791D9EB8-42E0-4192-B064-B1126CA14481 2 0.0000 0.7723 0.000 1.000 0.000 0.000
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 4 0.0000 0.8351 0.000 0.000 0.000 1.000
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 1 0.0000 0.8680 1.000 0.000 0.000 0.000
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 2 0.4925 0.6436 0.000 0.572 0.428 0.000
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.0000 0.8680 1.000 0.000 0.000 0.000
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 3 0.5668 0.0262 0.024 0.444 0.532 0.000
#> D47C7B74-BB01-4614-B683-652F7130729C 4 0.0000 0.8351 0.000 0.000 0.000 1.000
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 2 0.0000 0.7723 0.000 1.000 0.000 0.000
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 1 0.0000 0.8680 1.000 0.000 0.000 0.000
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.0000 0.8680 1.000 0.000 0.000 0.000
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 4 0.4761 0.2571 0.372 0.000 0.000 0.628
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.0000 0.8680 1.000 0.000 0.000 0.000
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 1 0.0000 0.8680 1.000 0.000 0.000 0.000
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 1 0.4985 0.3276 0.532 0.468 0.000 0.000
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 4 0.0000 0.8351 0.000 0.000 0.000 1.000
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 1 0.6673 0.2322 0.608 0.000 0.140 0.252
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 1 0.0000 0.8680 1.000 0.000 0.000 0.000
#> 58F11B66-AE40-417E-B465-811C6CF7311C 1 0.0000 0.8680 1.000 0.000 0.000 0.000
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#> 5B65768D-0E81-4469-9D69-69B07ED5ACD5 2 0.4985 0.6317 0.000 0.532 0.468 0.000
#> 2CB06CA6-8D1F-4BC7-99BE-66921805B8FD 1 0.4985 0.3276 0.532 0.468 0.000 0.000
#> 956357FB-9AB3-497C-BB55-9D15B486A422 2 0.1716 0.7061 0.064 0.936 0.000 0.000
#> C8F2BAD0-7124-46BF-975C-4B44BE980F93 2 0.0000 0.7723 0.000 1.000 0.000 0.000
#> E96AE267-3E23-4EA9-93E2-D92558155A17 3 0.4985 0.4014 0.000 0.000 0.532 0.468
#> 1C8DCA5B-965B-485A-83B6-5CBEB2117E47 1 0.0592 0.8552 0.984 0.000 0.000 0.016
#> DEAB79F5-336A-49B4-8046-AEE2F567FE46 2 0.0000 0.7723 0.000 1.000 0.000 0.000
#> 767FE89E-E19F-4F56-A744-CB3C5CCC085B 4 0.0000 0.8351 0.000 0.000 0.000 1.000
#> 7B0BF632-79E5-46B5-AAC8-4A6D5A193449 4 0.0000 0.8351 0.000 0.000 0.000 1.000
#> 9A281EDE-FF96-4E66-AEF4-692BDFA8E99D 2 0.0000 0.7723 0.000 1.000 0.000 0.000
#> B8C2D019-00C9-4E1E-8383-4FE2FFB4D2D7 3 0.4985 0.4014 0.000 0.000 0.532 0.468
#> 39A9B95F-186B-4550-9271-001151B1A626 4 0.0000 0.8351 0.000 0.000 0.000 1.000
#> CAD6E491-88FB-4221-90E9-AC9C68AECCB0 1 0.0000 0.8680 1.000 0.000 0.000 0.000
#> 15EFBC5B-C713-4718-BB6F-0EBBE4D6997F 1 0.0000 0.8680 1.000 0.000 0.000 0.000
#> BBA00038-09B1-461D-9F8E-484890B0D130 4 0.0000 0.8351 0.000 0.000 0.000 1.000
#> 16EBB885-A692-42A6-9027-F6AD769E0ABB 1 0.0921 0.8445 0.972 0.000 0.000 0.028
#> 2D57E24B-97A6-4B85-BC8F-3E02DDC6C460 4 0.0000 0.8351 0.000 0.000 0.000 1.000
#> C6E39F86-9DEF-4BCA-930B-2A3993D18901 2 0.4697 0.2323 0.356 0.644 0.000 0.000
#> 5BE4D8E9-DA18-426F-8AE6-075B15010390 2 0.4985 0.6317 0.000 0.532 0.468 0.000
#> 8E9CAAC7-31D3-473C-821C-2DAD37B44D3A 4 0.1211 0.7994 0.040 0.000 0.000 0.960
#> 368CFCA3-7BAB-4D6D-9AE1-55713A9965C1 3 0.6773 0.4584 0.104 0.000 0.532 0.364
#> 14DB79EF-DE2B-4197-AD32-F657E0655FCD 1 0.3837 0.6463 0.776 0.224 0.000 0.000
#> E73BCFCB-C5FE-4BF2-A236-B9E69711C121 1 0.0000 0.8680 1.000 0.000 0.000 0.000
#> CDAFAFEA-365B-4F25-AEC0-639B6E0CB626 1 0.0000 0.8680 1.000 0.000 0.000 0.000
#> 48A2AAEB-7F60-4284-808E-2058A531B17C 4 0.2408 0.7129 0.104 0.000 0.000 0.896
#> D4276C6F-9F0F-4F74-A85E-1E54272ADDED 1 0.1940 0.7936 0.924 0.000 0.000 0.076
#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 1 0.0000 0.8680 1.000 0.000 0.000 0.000
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 4 0.1022 0.8040 0.032 0.000 0.000 0.968
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 1 0.0000 0.8680 1.000 0.000 0.000 0.000
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 2 0.4941 0.6411 0.000 0.564 0.436 0.000
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 1 0.5677 0.4497 0.628 0.332 0.040 0.000
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 2 0.4985 0.6317 0.000 0.532 0.468 0.000
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 1 0.3356 0.6990 0.824 0.176 0.000 0.000
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 1 0.0000 0.8680 1.000 0.000 0.000 0.000
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 2 0.4134 0.6973 0.000 0.740 0.260 0.000
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 4 0.1118 0.8024 0.036 0.000 0.000 0.964
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 2 0.0000 0.7723 0.000 1.000 0.000 0.000
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 1 0.0000 0.8680 1.000 0.000 0.000 0.000
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 1 0.4972 0.3439 0.544 0.456 0.000 0.000
#> C7997523-47CF-40F0-8803-AB873E38033C 2 0.4985 0.6317 0.000 0.532 0.468 0.000
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 4 0.3649 0.5349 0.204 0.000 0.000 0.796
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 4 0.4948 0.0363 0.440 0.000 0.000 0.560
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 3 0.4985 0.4014 0.000 0.000 0.532 0.468
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 2 0.0000 0.7723 0.000 1.000 0.000 0.000
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 2 0.4331 0.6885 0.000 0.712 0.288 0.000
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 1 0.0000 0.8680 1.000 0.000 0.000 0.000
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 3 0.4985 0.4014 0.000 0.000 0.532 0.468
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 2 0.0000 0.7723 0.000 1.000 0.000 0.000
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 1 0.4134 0.6011 0.740 0.260 0.000 0.000
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.4985 0.3276 0.532 0.468 0.000 0.000
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 4 0.0000 0.8351 0.000 0.000 0.000 1.000
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 2 0.0000 0.7723 0.000 1.000 0.000 0.000
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 4 0.3907 0.4920 0.232 0.000 0.000 0.768
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 4 0.0000 0.8351 0.000 0.000 0.000 1.000
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 4 0.4661 0.2797 0.348 0.000 0.000 0.652
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 1 0.4843 0.2451 0.604 0.000 0.000 0.396
#> 1DEA6525-5598-4985-9218-D61912C75437 2 0.0000 0.7723 0.000 1.000 0.000 0.000
#> E15EAAB4-0860-4716-9922-667F604CDF12 1 0.0000 0.8680 1.000 0.000 0.000 0.000
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 2 0.0000 0.7723 0.000 1.000 0.000 0.000
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 1 0.0707 0.8517 0.980 0.000 0.000 0.020
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 1 0.4730 0.4623 0.636 0.364 0.000 0.000
#> F37E118C-1066-4A84-B190-B9B78E265D94 4 0.4888 0.1472 0.412 0.000 0.000 0.588
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 4 0.2408 0.7230 0.104 0.000 0.000 0.896
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 1 0.0000 0.8680 1.000 0.000 0.000 0.000
#> E2A4C651-977F-4F40-B5EC-46DF75944141 2 0.4985 0.6317 0.000 0.532 0.468 0.000
#> 433599CC-9DF5-4494-A607-8079FFE74D95 4 0.0000 0.8351 0.000 0.000 0.000 1.000
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 4 0.1211 0.7995 0.040 0.000 0.000 0.960
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 4 0.0000 0.8351 0.000 0.000 0.000 1.000
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 4 0.3569 0.5500 0.196 0.000 0.000 0.804
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 1 0.4941 0.1553 0.564 0.000 0.000 0.436
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 2 0.4985 0.6317 0.000 0.532 0.468 0.000
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.4985 0.4014 0.000 0.000 0.532 0.468
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 4 0.1792 0.7653 0.068 0.000 0.000 0.932
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 4 0.2647 0.6893 0.120 0.000 0.000 0.880
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 1 0.1637 0.8181 0.940 0.060 0.000 0.000
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 1 0.4985 0.3276 0.532 0.468 0.000 0.000
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 4 0.0000 0.8351 0.000 0.000 0.000 1.000
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 2 0.4985 0.6317 0.000 0.532 0.468 0.000
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 1 0.4967 0.3492 0.548 0.452 0.000 0.000
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.0000 0.8680 1.000 0.000 0.000 0.000
#> 057B580C-13FD-4185-943C-9DD5266B8554 4 0.4477 0.3259 0.312 0.000 0.000 0.688
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 4 0.0000 0.8351 0.000 0.000 0.000 1.000
#> 287F3696-25CF-4E67-A934-E50856AD4790 1 0.3486 0.6012 0.812 0.000 0.000 0.188
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 1 0.4331 0.4687 0.712 0.000 0.000 0.288
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 2 0.0000 0.7723 0.000 1.000 0.000 0.000
#> B80A74AB-A264-4396-93F8-FD976DBC1456 4 0.0000 0.8351 0.000 0.000 0.000 1.000
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 4 0.0000 0.8351 0.000 0.000 0.000 1.000
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.0000 0.8680 1.000 0.000 0.000 0.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.0188 0.8650 0.996 0.000 0.000 0.004
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 4 0.0000 0.8351 0.000 0.000 0.000 1.000
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 1 0.4164 0.5864 0.736 0.264 0.000 0.000
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.0000 0.7723 0.000 1.000 0.000 0.000
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 2 0.4985 0.6317 0.000 0.532 0.468 0.000
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 4 0.4855 0.1679 0.400 0.000 0.000 0.600
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 1 0.0000 0.8680 1.000 0.000 0.000 0.000
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 2 0.3444 0.5426 0.184 0.816 0.000 0.000
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.0000 0.7723 0.000 1.000 0.000 0.000
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 4 0.4898 0.1597 0.416 0.000 0.000 0.584
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 1 0.0000 0.8680 1.000 0.000 0.000 0.000
#> DD292494-92A2-43CB-B59B-726B2F429B29 4 0.0000 0.8351 0.000 0.000 0.000 1.000
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 2 0.0000 0.7723 0.000 1.000 0.000 0.000
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 1 0.0000 0.8680 1.000 0.000 0.000 0.000
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 1 0.0817 0.8481 0.976 0.000 0.000 0.024
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 2 0.4985 0.6317 0.000 0.532 0.468 0.000
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 4 0.2011 0.7425 0.080 0.000 0.000 0.920
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.0000 0.8680 1.000 0.000 0.000 0.000
#> 74CF740D-201D-4070-99B9-F007E7C4D472 2 0.4985 0.6317 0.000 0.532 0.468 0.000
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 2 0.0000 0.7723 0.000 1.000 0.000 0.000
#> 78F28873-E471-497A-9405-FB8955808599 1 0.2011 0.7786 0.920 0.000 0.000 0.080
#> 29294D9A-434B-4581-9591-63D16107C7B1 4 0.0000 0.8351 0.000 0.000 0.000 1.000
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 1 0.0000 0.8680 1.000 0.000 0.000 0.000
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 2 0.0000 0.7723 0.000 1.000 0.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.3109 0.7144 0.000 0.000 0.800 0.200 0.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 4 0.0000 0.9107 0.000 0.000 0.000 1.000 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 2 0.0000 0.8425 0.000 1.000 0.000 0.000 0.000
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 2 0.2280 0.7497 0.000 0.880 0.000 0.120 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 4 0.4304 0.1826 0.484 0.000 0.000 0.516 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.1872 0.8183 0.928 0.000 0.000 0.052 0.020
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.3143 0.6350 0.000 0.796 0.000 0.204 0.000
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 5 0.1732 0.8865 0.080 0.000 0.000 0.000 0.920
#> 18971368-40F0-42D3-B1A3-707850C53B18 5 0.1732 0.8865 0.080 0.000 0.000 0.000 0.920
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 1 0.0609 0.8326 0.980 0.000 0.000 0.000 0.020
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 1 0.1502 0.8275 0.940 0.000 0.004 0.000 0.056
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 1 0.0000 0.8306 1.000 0.000 0.000 0.000 0.000
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.4370 0.7179 0.744 0.000 0.200 0.000 0.056
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 4 0.0609 0.9031 0.020 0.000 0.000 0.980 0.000
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 5 0.1732 0.8865 0.080 0.000 0.000 0.000 0.920
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 2 0.1732 0.8270 0.000 0.920 0.000 0.000 0.080
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 1 0.2377 0.7369 0.872 0.000 0.000 0.128 0.000
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 1 0.0609 0.8326 0.980 0.000 0.000 0.000 0.020
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 4 0.2605 0.7947 0.148 0.000 0.000 0.852 0.000
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.4370 0.7179 0.744 0.000 0.200 0.000 0.056
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 1 0.3930 0.7561 0.792 0.000 0.152 0.000 0.056
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 4 0.0162 0.9095 0.004 0.000 0.000 0.996 0.000
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 1 0.4370 0.7179 0.744 0.000 0.200 0.000 0.056
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 4 0.0510 0.9015 0.000 0.016 0.000 0.984 0.000
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 4 0.3636 0.5649 0.000 0.272 0.000 0.728 0.000
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 4 0.0000 0.9107 0.000 0.000 0.000 1.000 0.000
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 2 0.4219 0.3199 0.000 0.584 0.000 0.416 0.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 4 0.0000 0.9107 0.000 0.000 0.000 1.000 0.000
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 5 0.1732 0.8865 0.080 0.000 0.000 0.000 0.920
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 2 0.1732 0.8270 0.000 0.920 0.000 0.000 0.080
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 1 0.0794 0.8222 0.972 0.000 0.000 0.028 0.000
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 4 0.1124 0.8876 0.004 0.036 0.000 0.960 0.000
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 4 0.3796 0.5205 0.000 0.300 0.000 0.700 0.000
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 4 0.2036 0.8728 0.056 0.024 0.000 0.920 0.000
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 4 0.0000 0.9107 0.000 0.000 0.000 1.000 0.000
#> BE56F908-42DD-4019-A8AC-48884DA788B1 2 0.0000 0.8425 0.000 1.000 0.000 0.000 0.000
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 1 0.0000 0.8306 1.000 0.000 0.000 0.000 0.000
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 1 0.0000 0.8306 1.000 0.000 0.000 0.000 0.000
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 4 0.0000 0.9107 0.000 0.000 0.000 1.000 0.000
#> 791D9EB8-42E0-4192-B064-B1126CA14481 1 0.1893 0.8277 0.928 0.000 0.024 0.000 0.048
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 2 0.1732 0.8270 0.000 0.920 0.000 0.000 0.080
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 4 0.0000 0.9107 0.000 0.000 0.000 1.000 0.000
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 5 0.6008 0.7285 0.216 0.000 0.200 0.000 0.584
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 4 0.0000 0.9107 0.000 0.000 0.000 1.000 0.000
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 3 0.4182 0.2474 0.400 0.000 0.600 0.000 0.000
#> D47C7B74-BB01-4614-B683-652F7130729C 2 0.1478 0.8307 0.000 0.936 0.000 0.000 0.064
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#> 933DB910-2728-4DC4-840E-B0CD1F13A421 2 0.0000 0.8425 0.000 1.000 0.000 0.000 0.000
#> 93910528-D681-4C69-86FD-326293B2F1C1 1 0.2929 0.6788 0.820 0.000 0.000 0.180 0.000
#> 3C9FDA2A-01C8-4F17-BBF1-5CAEAE3764D4 4 0.0162 0.9096 0.004 0.000 0.000 0.996 0.000
#> 8879C57E-8876-462F-810E-EE07C2F541AD 2 0.4502 0.6281 0.000 0.744 0.000 0.180 0.076
#> 130C8FBD-8D78-4212-8DD6-301EDFA339A9 2 0.0000 0.8425 0.000 1.000 0.000 0.000 0.000
#> 6C1FF3E9-0A8B-4B02-B0E9-EEF333E53592 1 0.1943 0.8247 0.924 0.000 0.020 0.000 0.056
#> 726497B7-C557-4D5C-A926-6DDA6136C899 5 0.4558 0.8466 0.080 0.000 0.180 0.000 0.740
#> 2299CD19-BF08-404C-B1BF-B570F12CCEF8 2 0.0000 0.8425 0.000 1.000 0.000 0.000 0.000
#> E8BCBDC5-E34E-422F-86C2-A4B30400EC86 1 0.0000 0.8306 1.000 0.000 0.000 0.000 0.000
#> B9EF0525-8B4A-4306-B06B-35AC457F5F48 4 0.0000 0.9107 0.000 0.000 0.000 1.000 0.000
#> F663E106-4E34-46C8-9CD9-AE5E9B8B27F0 1 0.0771 0.8328 0.976 0.000 0.004 0.000 0.020
#> 94E26CD5-238B-4D8C-B8E8-A62C44EB2B41 1 0.2280 0.7490 0.880 0.000 0.000 0.120 0.000
#> 135743C3-829E-46DC-BBA9-FF07C8067612 4 0.0000 0.9107 0.000 0.000 0.000 1.000 0.000
#> CBD7775A-2802-4EB7-9F62-6B80D7667AED 2 0.4126 0.3783 0.000 0.620 0.000 0.380 0.000
#> BD6DAD3D-2D5F-4560-9A4C-70D8A1D49732 4 0.0510 0.9015 0.000 0.016 0.000 0.984 0.000
#> ED86F92E-6B39-4C0C-9A60-870984F53C4D 1 0.2753 0.7549 0.856 0.000 0.000 0.136 0.008
#> CD3B289F-FAE1-405F-875F-23C1D2609DFC 4 0.0609 0.9031 0.020 0.000 0.000 0.980 0.000
#> D1C0E70B-B2BB-4FE7-8DEC-B50659739BAA 5 0.5904 0.7465 0.200 0.000 0.200 0.000 0.600
#> D2417A9C-CBF0-47F6-B20C-FB32AF632A84 5 0.1732 0.8865 0.080 0.000 0.000 0.000 0.920
#> EF5618C6-6AFB-4FB5-A32B-7946F18E9736 2 0.0000 0.8425 0.000 1.000 0.000 0.000 0.000
#> 36040CAB-FF77-4540-BB44-7961A6A54B29 2 0.0510 0.8406 0.000 0.984 0.000 0.000 0.016
#> 3808C3A9-22DA-4DC5-9F51-884A7EF574E6 4 0.0162 0.9095 0.004 0.000 0.000 0.996 0.000
#> 24363857-9A33-40D4-8409-C17225570833 4 0.1410 0.8796 0.060 0.000 0.000 0.940 0.000
#> A57E6132-9B76-493A-A167-8462263B7CDB 1 0.3046 0.8186 0.880 0.000 0.020 0.048 0.052
#> 4C020890-E652-4DE4-B66D-5F6F71405F64 2 0.0000 0.8425 0.000 1.000 0.000 0.000 0.000
#> 90C991CD-412E-4318-96E3-EB84B868FE9F 4 0.0000 0.9107 0.000 0.000 0.000 1.000 0.000
#> FA8E73EA-649C-43ED-854E-B9472820D1C6 4 0.0963 0.8916 0.036 0.000 0.000 0.964 0.000
#> 4D46B5DE-186A-4D35-8E1B-64701C13BC69 2 0.1732 0.8270 0.000 0.920 0.000 0.000 0.080
#> D516A82D-2F77-46B2-90F7-30BA5C78AAC8 4 0.1121 0.8890 0.044 0.000 0.000 0.956 0.000
#> 1FBD0805-13AE-4A82-8B94-640E1C921262 1 0.1364 0.8327 0.952 0.000 0.012 0.000 0.036
#> 264525A9-F7DB-4012-A93B-CF8A7626F125 2 0.1732 0.8270 0.000 0.920 0.000 0.000 0.080
#> AFF029D8-FFC9-4AA9-8049-F1E27C743F6F 4 0.0000 0.9107 0.000 0.000 0.000 1.000 0.000
#> 5B65768D-0E81-4469-9D69-69B07ED5ACD5 5 0.1732 0.8865 0.080 0.000 0.000 0.000 0.920
#> 2CB06CA6-8D1F-4BC7-99BE-66921805B8FD 1 0.1732 0.7828 0.920 0.000 0.000 0.080 0.000
#> 956357FB-9AB3-497C-BB55-9D15B486A422 1 0.0000 0.8306 1.000 0.000 0.000 0.000 0.000
#> C8F2BAD0-7124-46BF-975C-4B44BE980F93 1 0.4337 0.7209 0.748 0.000 0.196 0.000 0.056
#> E96AE267-3E23-4EA9-93E2-D92558155A17 3 0.3109 0.7989 0.000 0.200 0.800 0.000 0.000
#> 1C8DCA5B-965B-485A-83B6-5CBEB2117E47 4 0.0510 0.9021 0.000 0.016 0.000 0.984 0.000
#> DEAB79F5-336A-49B4-8046-AEE2F567FE46 1 0.0963 0.8318 0.964 0.000 0.000 0.000 0.036
#> 767FE89E-E19F-4F56-A744-CB3C5CCC085B 2 0.0000 0.8425 0.000 1.000 0.000 0.000 0.000
#> 7B0BF632-79E5-46B5-AAC8-4A6D5A193449 2 0.1732 0.8270 0.000 0.920 0.000 0.000 0.080
#> 9A281EDE-FF96-4E66-AEF4-692BDFA8E99D 1 0.0609 0.8326 0.980 0.000 0.000 0.000 0.020
#> B8C2D019-00C9-4E1E-8383-4FE2FFB4D2D7 3 0.3109 0.7989 0.000 0.200 0.800 0.000 0.000
#> 39A9B95F-186B-4550-9271-001151B1A626 2 0.0000 0.8425 0.000 1.000 0.000 0.000 0.000
#> CAD6E491-88FB-4221-90E9-AC9C68AECCB0 4 0.0000 0.9107 0.000 0.000 0.000 1.000 0.000
#> 15EFBC5B-C713-4718-BB6F-0EBBE4D6997F 4 0.0000 0.9107 0.000 0.000 0.000 1.000 0.000
#> BBA00038-09B1-461D-9F8E-484890B0D130 2 0.0000 0.8425 0.000 1.000 0.000 0.000 0.000
#> 16EBB885-A692-42A6-9027-F6AD769E0ABB 4 0.0794 0.8934 0.000 0.028 0.000 0.972 0.000
#> 2D57E24B-97A6-4B85-BC8F-3E02DDC6C460 2 0.1732 0.8060 0.000 0.920 0.000 0.080 0.000
#> C6E39F86-9DEF-4BCA-930B-2A3993D18901 1 0.0404 0.8274 0.988 0.000 0.000 0.012 0.000
#> 5BE4D8E9-DA18-426F-8AE6-075B15010390 5 0.5295 0.8240 0.128 0.000 0.200 0.000 0.672
#> 8E9CAAC7-31D3-473C-821C-2DAD37B44D3A 2 0.1732 0.8070 0.000 0.920 0.000 0.080 0.000
#> 368CFCA3-7BAB-4D6D-9AE1-55713A9965C1 3 0.3109 0.7989 0.000 0.200 0.800 0.000 0.000
#> 14DB79EF-DE2B-4197-AD32-F657E0655FCD 4 0.4088 0.4939 0.368 0.000 0.000 0.632 0.000
#> E73BCFCB-C5FE-4BF2-A236-B9E69711C121 4 0.0000 0.9107 0.000 0.000 0.000 1.000 0.000
#> CDAFAFEA-365B-4F25-AEC0-639B6E0CB626 4 0.0000 0.9107 0.000 0.000 0.000 1.000 0.000
#> 48A2AAEB-7F60-4284-808E-2058A531B17C 2 0.2806 0.7344 0.000 0.844 0.000 0.152 0.004
#> D4276C6F-9F0F-4F74-A85E-1E54272ADDED 4 0.1792 0.8396 0.000 0.084 0.000 0.916 0.000
#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 4 0.0000 0.9107 0.000 0.000 0.000 1.000 0.000
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 2 0.0880 0.8357 0.000 0.968 0.000 0.032 0.000
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 4 0.0000 0.9107 0.000 0.000 0.000 1.000 0.000
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 5 0.5728 0.7843 0.176 0.000 0.200 0.000 0.624
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 1 0.4608 0.4675 0.640 0.000 0.024 0.336 0.000
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 5 0.1732 0.8865 0.080 0.000 0.000 0.000 0.920
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 4 0.2813 0.7603 0.168 0.000 0.000 0.832 0.000
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 4 0.0000 0.9107 0.000 0.000 0.000 1.000 0.000
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 1 0.6327 0.2395 0.520 0.000 0.200 0.000 0.280
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 2 0.0510 0.8412 0.000 0.984 0.000 0.016 0.000
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 1 0.1012 0.8341 0.968 0.000 0.020 0.000 0.012
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 4 0.0000 0.9107 0.000 0.000 0.000 1.000 0.000
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 1 0.1851 0.7779 0.912 0.000 0.000 0.088 0.000
#> C7997523-47CF-40F0-8803-AB873E38033C 5 0.4725 0.8407 0.080 0.000 0.200 0.000 0.720
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 2 0.2329 0.7448 0.000 0.876 0.000 0.124 0.000
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 2 0.6463 0.1702 0.036 0.480 0.000 0.404 0.080
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 3 0.3242 0.7875 0.000 0.216 0.784 0.000 0.000
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 1 0.1502 0.8275 0.940 0.000 0.004 0.000 0.056
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 5 0.5631 0.7896 0.164 0.000 0.200 0.000 0.636
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 4 0.0000 0.9107 0.000 0.000 0.000 1.000 0.000
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 3 0.3109 0.7989 0.000 0.200 0.800 0.000 0.000
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 1 0.3043 0.8019 0.864 0.000 0.080 0.000 0.056
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 4 0.3796 0.5908 0.300 0.000 0.000 0.700 0.000
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.2813 0.7072 0.832 0.000 0.000 0.168 0.000
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 2 0.0000 0.8425 0.000 1.000 0.000 0.000 0.000
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 1 0.4370 0.7179 0.744 0.000 0.200 0.000 0.056
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 2 0.3636 0.5593 0.000 0.728 0.000 0.272 0.000
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 2 0.0000 0.8425 0.000 1.000 0.000 0.000 0.000
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 2 0.3876 0.4968 0.000 0.684 0.000 0.316 0.000
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 4 0.4182 0.2817 0.000 0.400 0.000 0.600 0.000
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.4370 0.7179 0.744 0.000 0.200 0.000 0.056
#> E15EAAB4-0860-4716-9922-667F604CDF12 4 0.0162 0.9096 0.004 0.000 0.000 0.996 0.000
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 1 0.3890 0.7573 0.792 0.000 0.168 0.036 0.004
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 4 0.0609 0.8993 0.000 0.020 0.000 0.980 0.000
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 1 0.2966 0.6745 0.816 0.000 0.000 0.184 0.000
#> F37E118C-1066-4A84-B190-B9B78E265D94 2 0.4182 0.3471 0.000 0.600 0.000 0.400 0.000
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 2 0.2377 0.7623 0.000 0.872 0.000 0.128 0.000
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 4 0.1410 0.8796 0.060 0.000 0.000 0.940 0.000
#> E2A4C651-977F-4F40-B5EC-46DF75944141 5 0.1732 0.8865 0.080 0.000 0.000 0.000 0.920
#> 433599CC-9DF5-4494-A607-8079FFE74D95 2 0.0000 0.8425 0.000 1.000 0.000 0.000 0.000
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 2 0.1792 0.8030 0.000 0.916 0.000 0.084 0.000
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 2 0.1732 0.8270 0.000 0.920 0.000 0.000 0.080
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 2 0.2966 0.6884 0.000 0.816 0.000 0.184 0.000
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 4 0.4182 0.2817 0.000 0.400 0.000 0.600 0.000
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 5 0.5136 0.8336 0.128 0.000 0.180 0.000 0.692
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.3109 0.7989 0.000 0.200 0.800 0.000 0.000
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 2 0.2511 0.8138 0.000 0.892 0.000 0.028 0.080
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 2 0.3479 0.7591 0.000 0.836 0.000 0.084 0.080
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 4 0.4273 0.2259 0.448 0.000 0.000 0.552 0.000
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 1 0.2516 0.7304 0.860 0.000 0.000 0.140 0.000
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.0000 0.8425 0.000 1.000 0.000 0.000 0.000
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 5 0.5631 0.7962 0.164 0.000 0.200 0.000 0.636
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 1 0.2676 0.7733 0.884 0.000 0.000 0.036 0.080
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 4 0.0000 0.9107 0.000 0.000 0.000 1.000 0.000
#> 057B580C-13FD-4185-943C-9DD5266B8554 2 0.3816 0.5111 0.000 0.696 0.000 0.304 0.000
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 2 0.0000 0.8425 0.000 1.000 0.000 0.000 0.000
#> 287F3696-25CF-4E67-A934-E50856AD4790 4 0.3648 0.7678 0.020 0.096 0.000 0.840 0.044
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 4 0.3752 0.5361 0.000 0.292 0.000 0.708 0.000
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 1 0.0000 0.8306 1.000 0.000 0.000 0.000 0.000
#> B80A74AB-A264-4396-93F8-FD976DBC1456 2 0.1732 0.8270 0.000 0.920 0.000 0.000 0.080
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.0000 0.8425 0.000 1.000 0.000 0.000 0.000
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 4 0.0000 0.9107 0.000 0.000 0.000 1.000 0.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 4 0.0162 0.9089 0.000 0.004 0.000 0.996 0.000
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 2 0.0000 0.8425 0.000 1.000 0.000 0.000 0.000
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 1 0.3999 0.4542 0.656 0.000 0.000 0.344 0.000
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 1 0.2511 0.8158 0.892 0.000 0.080 0.000 0.028
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 5 0.5631 0.7962 0.164 0.000 0.200 0.000 0.636
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 2 0.3966 0.4270 0.000 0.664 0.000 0.336 0.000
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 4 0.0000 0.9107 0.000 0.000 0.000 1.000 0.000
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.0963 0.8318 0.964 0.000 0.000 0.000 0.036
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 1 0.0609 0.8326 0.980 0.000 0.000 0.000 0.020
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 2 0.4114 0.3980 0.000 0.624 0.000 0.376 0.000
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 4 0.0000 0.9107 0.000 0.000 0.000 1.000 0.000
#> DD292494-92A2-43CB-B59B-726B2F429B29 2 0.0000 0.8425 0.000 1.000 0.000 0.000 0.000
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.4234 0.7317 0.760 0.000 0.184 0.000 0.056
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 4 0.0000 0.9107 0.000 0.000 0.000 1.000 0.000
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 4 0.0703 0.8963 0.000 0.024 0.000 0.976 0.000
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 5 0.1732 0.8865 0.080 0.000 0.000 0.000 0.920
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 2 0.1270 0.8182 0.000 0.948 0.000 0.052 0.000
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 4 0.0703 0.9019 0.024 0.000 0.000 0.976 0.000
#> 74CF740D-201D-4070-99B9-F007E7C4D472 5 0.1732 0.8865 0.080 0.000 0.000 0.000 0.920
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 1 0.3319 0.7689 0.820 0.000 0.160 0.000 0.020
#> 78F28873-E471-497A-9405-FB8955808599 4 0.2278 0.8572 0.060 0.032 0.000 0.908 0.000
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.1671 0.8094 0.000 0.924 0.000 0.076 0.000
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 4 0.0290 0.9087 0.008 0.000 0.000 0.992 0.000
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 1 0.0771 0.8328 0.976 0.000 0.004 0.000 0.020
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.0146 0.7756 0.000 0.000 0.996 0.004 0.000 0.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 4 0.2491 0.8163 0.000 0.000 0.164 0.836 0.000 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 5 0.0363 0.7664 0.000 0.000 0.012 0.000 0.988 0.000
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 5 0.1285 0.7496 0.000 0.000 0.004 0.052 0.944 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 4 0.4177 0.2285 0.012 0.000 0.000 0.520 0.000 0.468
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 6 0.1296 0.6792 0.044 0.004 0.000 0.004 0.000 0.948
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#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 5 0.0000 0.7669 0.000 0.000 0.000 0.000 1.000 0.000
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 5 0.5616 0.4095 0.000 0.000 0.164 0.328 0.508 0.000
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 4 0.5267 0.4932 0.000 0.000 0.164 0.600 0.236 0.000
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.3301 0.7789 0.788 0.024 0.000 0.000 0.000 0.188
#> E15EAAB4-0860-4716-9922-667F604CDF12 4 0.0146 0.8579 0.000 0.000 0.000 0.996 0.000 0.004
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 6 0.3834 0.5179 0.216 0.008 0.000 0.028 0.000 0.748
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 4 0.3053 0.8038 0.000 0.000 0.168 0.812 0.020 0.000
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 6 0.2653 0.5765 0.012 0.000 0.000 0.144 0.000 0.844
#> F37E118C-1066-4A84-B190-B9B78E265D94 5 0.5655 0.3604 0.000 0.000 0.172 0.324 0.504 0.000
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 5 0.5316 0.5392 0.000 0.000 0.168 0.240 0.592 0.000
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 4 0.1967 0.8158 0.012 0.000 0.000 0.904 0.000 0.084
#> E2A4C651-977F-4F40-B5EC-46DF75944141 2 0.0000 0.9062 0.000 1.000 0.000 0.000 0.000 0.000
#> 433599CC-9DF5-4494-A607-8079FFE74D95 5 0.0000 0.7669 0.000 0.000 0.000 0.000 1.000 0.000
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 5 0.5145 0.5806 0.000 0.000 0.176 0.200 0.624 0.000
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 5 0.2793 0.7252 0.200 0.000 0.000 0.000 0.800 0.000
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 5 0.2454 0.6927 0.000 0.000 0.000 0.160 0.840 0.000
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 4 0.5346 0.4671 0.000 0.000 0.164 0.584 0.252 0.000
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 2 0.5105 0.2837 0.340 0.564 0.000 0.000 0.000 0.096
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.2597 0.7991 0.000 0.000 0.824 0.000 0.176 0.000
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 5 0.5145 0.6522 0.200 0.000 0.176 0.000 0.624 0.000
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 5 0.5145 0.6522 0.200 0.000 0.176 0.000 0.624 0.000
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 4 0.3862 0.1602 0.000 0.000 0.000 0.524 0.000 0.476
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 6 0.4929 -0.0415 0.428 0.000 0.000 0.064 0.000 0.508
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 5 0.0713 0.7654 0.028 0.000 0.000 0.000 0.972 0.000
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.3667 0.7830 0.788 0.080 0.000 0.000 0.000 0.132
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 1 0.4405 0.0638 0.504 0.000 0.000 0.024 0.000 0.472
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 4 0.2491 0.8163 0.000 0.000 0.164 0.836 0.000 0.000
#> 057B580C-13FD-4185-943C-9DD5266B8554 5 0.5046 0.5262 0.000 0.000 0.124 0.256 0.620 0.000
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 5 0.0000 0.7669 0.000 0.000 0.000 0.000 1.000 0.000
#> 287F3696-25CF-4E67-A934-E50856AD4790 4 0.5272 0.7442 0.068 0.000 0.164 0.704 0.040 0.024
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 4 0.4953 0.6082 0.000 0.000 0.176 0.652 0.172 0.000
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 6 0.0260 0.6786 0.008 0.000 0.000 0.000 0.000 0.992
#> B80A74AB-A264-4396-93F8-FD976DBC1456 5 0.3141 0.7227 0.200 0.000 0.012 0.000 0.788 0.000
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 5 0.0000 0.7669 0.000 0.000 0.000 0.000 1.000 0.000
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 4 0.0000 0.8579 0.000 0.000 0.000 1.000 0.000 0.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 4 0.2632 0.8144 0.000 0.000 0.164 0.832 0.004 0.000
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 5 0.2491 0.7036 0.000 0.000 0.164 0.000 0.836 0.000
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 6 0.3784 0.4112 0.012 0.000 0.000 0.308 0.000 0.680
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 1 0.4218 0.3435 0.556 0.016 0.000 0.000 0.000 0.428
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.3667 0.7830 0.788 0.080 0.000 0.000 0.000 0.132
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 5 0.3371 0.5259 0.000 0.000 0.000 0.292 0.708 0.000
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 4 0.1444 0.8542 0.000 0.000 0.072 0.928 0.000 0.000
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 6 0.1265 0.6777 0.044 0.008 0.000 0.000 0.000 0.948
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 6 0.0717 0.6779 0.008 0.016 0.000 0.000 0.000 0.976
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 5 0.5771 0.2413 0.000 0.000 0.176 0.380 0.444 0.000
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 4 0.0000 0.8579 0.000 0.000 0.000 1.000 0.000 0.000
#> DD292494-92A2-43CB-B59B-726B2F429B29 5 0.0000 0.7669 0.000 0.000 0.000 0.000 1.000 0.000
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.4011 0.6056 0.672 0.024 0.000 0.000 0.000 0.304
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 4 0.0260 0.8592 0.000 0.000 0.008 0.992 0.000 0.000
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 4 0.3098 0.8027 0.000 0.000 0.164 0.812 0.024 0.000
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 2 0.0000 0.9062 0.000 1.000 0.000 0.000 0.000 0.000
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 5 0.0547 0.7630 0.000 0.000 0.000 0.020 0.980 0.000
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 4 0.0713 0.8517 0.000 0.000 0.000 0.972 0.000 0.028
#> 74CF740D-201D-4070-99B9-F007E7C4D472 2 0.0000 0.9062 0.000 1.000 0.000 0.000 0.000 0.000
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 1 0.4026 0.5744 0.636 0.016 0.000 0.000 0.000 0.348
#> 78F28873-E471-497A-9405-FB8955808599 4 0.2110 0.8143 0.012 0.000 0.000 0.900 0.004 0.084
#> 29294D9A-434B-4581-9591-63D16107C7B1 5 0.4795 0.6243 0.000 0.000 0.176 0.152 0.672 0.000
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 4 0.0260 0.8574 0.000 0.000 0.000 0.992 0.000 0.008
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 6 0.4234 -0.0525 0.440 0.016 0.000 0.000 0.000 0.544
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 17397 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 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 0.430 0.626 0.843 0.3496 0.742 0.742
#> 3 3 0.670 0.840 0.897 0.6419 0.598 0.492
#> 4 4 0.676 0.779 0.904 0.1739 0.685 0.419
#> 5 5 0.644 0.706 0.837 0.0718 0.869 0.646
#> 6 6 0.641 0.668 0.808 0.0569 0.930 0.765
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
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 2 0.0000 0.6565 0.000 1.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.7376 0.6635 0.792 0.208
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 1 0.0000 0.7930 1.000 0.000
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.0000 0.7930 1.000 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.0000 0.7930 1.000 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.9170 0.5309 0.668 0.332
#> 966A3A03-3879-4816-A1E9-D805F6018836 1 0.9580 -0.1135 0.620 0.380
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 1 0.9754 0.4387 0.592 0.408
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.9815 0.4221 0.580 0.420
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 1 0.0000 0.7930 1.000 0.000
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 1 0.9552 0.4778 0.624 0.376
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 1 0.2043 0.7751 0.968 0.032
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.9393 0.5011 0.644 0.356
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 1 0.0000 0.7930 1.000 0.000
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.9815 0.4221 0.580 0.420
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 2 0.9815 0.6668 0.420 0.580
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 1 0.0000 0.7930 1.000 0.000
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 1 0.0376 0.7927 0.996 0.004
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.1414 0.7889 0.980 0.020
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.8955 0.5506 0.688 0.312
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 1 0.0000 0.7930 1.000 0.000
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 1 0.9661 -0.1625 0.608 0.392
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 1 0.7139 0.6690 0.804 0.196
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 2 0.7299 0.4633 0.204 0.796
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 1 0.0000 0.7930 1.000 0.000
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 1 0.1414 0.7843 0.980 0.020
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.0000 0.7930 1.000 0.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 1 0.0000 0.7930 1.000 0.000
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 1 0.9710 0.4481 0.600 0.400
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 2 0.9815 0.6668 0.420 0.580
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 1 0.2603 0.7792 0.956 0.044
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 1 0.9491 -0.0622 0.632 0.368
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.0000 0.7930 1.000 0.000
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 1 0.3879 0.7198 0.924 0.076
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 1 0.0000 0.7930 1.000 0.000
#> BE56F908-42DD-4019-A8AC-48884DA788B1 1 0.0938 0.7861 0.988 0.012
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 1 0.0000 0.7930 1.000 0.000
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 1 0.0000 0.7930 1.000 0.000
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 1 0.7815 0.6437 0.768 0.232
#> 791D9EB8-42E0-4192-B064-B1126CA14481 1 0.0672 0.7923 0.992 0.008
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 2 0.9815 0.6668 0.420 0.580
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 1 0.7883 0.4180 0.764 0.236
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.9635 0.4632 0.612 0.388
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.0000 0.7930 1.000 0.000
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 2 0.0000 0.6565 0.000 1.000
#> D47C7B74-BB01-4614-B683-652F7130729C 2 0.9970 0.5751 0.468 0.532
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 1 0.1633 0.7879 0.976 0.024
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 1 0.0000 0.7930 1.000 0.000
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.2236 0.7844 0.964 0.036
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 1 0.6048 0.6112 0.852 0.148
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.0000 0.7930 1.000 0.000
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 1 0.0376 0.7921 0.996 0.004
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 1 0.0000 0.7930 1.000 0.000
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 2 0.9815 0.6668 0.420 0.580
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 2 0.0376 0.6550 0.004 0.996
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 1 0.0000 0.7930 1.000 0.000
#> 58F11B66-AE40-417E-B465-811C6CF7311C 1 0.0000 0.7930 1.000 0.000
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.8016 0.6230 0.756 0.244
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 1 0.0376 0.7911 0.996 0.004
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 1 0.0000 0.7930 1.000 0.000
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#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 2 0.0000 0.6565 0.000 1.000
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 1 0.0000 0.7930 1.000 0.000
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 1 0.9710 0.4494 0.600 0.400
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.7219 0.6657 0.800 0.200
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 1 0.0000 0.7930 1.000 0.000
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 1 0.9815 0.4221 0.580 0.420
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 1 0.9993 -0.4659 0.516 0.484
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 1 0.9635 -0.0843 0.612 0.388
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 1 0.7950 0.4068 0.760 0.240
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 1 0.0000 0.7930 1.000 0.000
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.9635 0.4632 0.612 0.388
#> E15EAAB4-0860-4716-9922-667F604CDF12 1 0.1414 0.7889 0.980 0.020
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 1 0.0938 0.7915 0.988 0.012
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 1 0.0376 0.7921 0.996 0.004
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 1 0.7139 0.6693 0.804 0.196
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.3431 0.7711 0.936 0.064
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 1 0.9977 -0.4358 0.528 0.472
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 1 0.6148 0.6053 0.848 0.152
#> E2A4C651-977F-4F40-B5EC-46DF75944141 1 0.9815 0.4221 0.580 0.420
#> 433599CC-9DF5-4494-A607-8079FFE74D95 1 0.0376 0.7911 0.996 0.004
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 1 0.0000 0.7930 1.000 0.000
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 2 0.9815 0.6668 0.420 0.580
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.0376 0.7921 0.996 0.004
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 1 0.0672 0.7924 0.992 0.008
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 1 0.9795 0.4277 0.584 0.416
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 2 0.0000 0.6565 0.000 1.000
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 2 0.9815 0.6668 0.420 0.580
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 2 0.9815 0.6668 0.420 0.580
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 1 0.0000 0.7930 1.000 0.000
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 1 0.0000 0.7930 1.000 0.000
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 1 0.9866 -0.3101 0.568 0.432
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.9815 0.4221 0.580 0.420
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 2 1.0000 0.5057 0.496 0.504
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.2423 0.7816 0.960 0.040
#> 057B580C-13FD-4185-943C-9DD5266B8554 1 0.5178 0.7336 0.884 0.116
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 1 0.2236 0.7828 0.964 0.036
#> 287F3696-25CF-4E67-A934-E50856AD4790 2 0.9996 0.5268 0.488 0.512
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 1 0.0376 0.7911 0.996 0.004
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 1 0.7299 0.6621 0.796 0.204
#> B80A74AB-A264-4396-93F8-FD976DBC1456 2 0.9815 0.6668 0.420 0.580
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 1 0.0672 0.7887 0.992 0.008
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.2423 0.7810 0.960 0.040
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.0938 0.7908 0.988 0.012
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 1 0.2603 0.7805 0.956 0.044
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 1 1.0000 -0.4926 0.504 0.496
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 1 0.0000 0.7930 1.000 0.000
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.9635 0.4632 0.612 0.388
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 1 0.0376 0.7921 0.996 0.004
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 1 0.9580 -0.1135 0.620 0.380
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.9209 0.5237 0.664 0.336
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 1 0.0000 0.7930 1.000 0.000
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 1 0.0672 0.7888 0.992 0.008
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 1 0.0000 0.7930 1.000 0.000
#> DD292494-92A2-43CB-B59B-726B2F429B29 1 0.0000 0.7930 1.000 0.000
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.9522 0.4826 0.628 0.372
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 1 0.0000 0.7930 1.000 0.000
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 1 0.2948 0.7738 0.948 0.052
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 1 0.9815 0.4221 0.580 0.420
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 1 0.1633 0.7846 0.976 0.024
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 2 0.9635 0.0118 0.388 0.612
#> 74CF740D-201D-4070-99B9-F007E7C4D472 1 0.9815 0.4221 0.580 0.420
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 1 0.1414 0.7835 0.980 0.020
#> 78F28873-E471-497A-9405-FB8955808599 1 0.8499 0.3041 0.724 0.276
#> 29294D9A-434B-4581-9591-63D16107C7B1 1 0.5294 0.6577 0.880 0.120
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 1 0.0376 0.7911 0.996 0.004
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 1 0.0000 0.7930 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.4002 0.9509 0.160 0.000 0.840
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.4291 0.8392 0.820 0.000 0.180
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 2 0.3715 0.8132 0.128 0.868 0.004
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.5180 0.8368 0.812 0.032 0.156
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.9174 0.4083 0.504 0.332 0.164
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.1753 0.8521 0.952 0.000 0.048
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.0000 0.9263 0.000 1.000 0.000
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 1 0.0661 0.8589 0.988 0.004 0.008
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.0829 0.8577 0.984 0.004 0.012
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 1 0.5815 0.5843 0.692 0.304 0.004
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 1 0.1163 0.8585 0.972 0.000 0.028
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 2 0.1267 0.9162 0.024 0.972 0.004
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.0661 0.8589 0.988 0.004 0.008
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 1 0.6927 0.5897 0.664 0.296 0.040
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.0983 0.8561 0.980 0.004 0.016
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 2 0.0237 0.9258 0.000 0.996 0.004
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 2 0.6373 0.2389 0.408 0.588 0.004
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 1 0.3532 0.8578 0.884 0.008 0.108
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.4645 0.8399 0.816 0.008 0.176
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.0424 0.8597 0.992 0.000 0.008
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 1 0.0829 0.8598 0.984 0.012 0.004
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 2 0.0000 0.9263 0.000 1.000 0.000
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 1 0.0661 0.8589 0.988 0.004 0.008
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 3 0.3816 0.9021 0.148 0.000 0.852
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 2 0.6181 0.7186 0.072 0.772 0.156
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 2 0.8487 0.2197 0.364 0.536 0.100
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.4994 0.8389 0.816 0.024 0.160
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 1 0.5060 0.8382 0.816 0.028 0.156
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 1 0.0661 0.8589 0.988 0.004 0.008
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 2 0.0237 0.9258 0.000 0.996 0.004
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 1 0.3879 0.8488 0.848 0.000 0.152
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.0000 0.9263 0.000 1.000 0.000
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.4921 0.8396 0.816 0.020 0.164
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 2 0.0000 0.9263 0.000 1.000 0.000
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 2 0.1765 0.9086 0.040 0.956 0.004
#> BE56F908-42DD-4019-A8AC-48884DA788B1 2 0.1529 0.9105 0.040 0.960 0.000
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 2 0.2301 0.8885 0.060 0.936 0.004
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 1 0.3644 0.8137 0.872 0.124 0.004
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 1 0.4883 0.6523 0.788 0.004 0.208
#> 791D9EB8-42E0-4192-B064-B1126CA14481 1 0.0829 0.8598 0.984 0.012 0.004
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 2 0.0237 0.9258 0.000 0.996 0.004
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 2 0.0000 0.9263 0.000 1.000 0.000
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.0661 0.8589 0.988 0.004 0.008
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.4840 0.8398 0.816 0.016 0.168
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 3 0.4002 0.9509 0.160 0.000 0.840
#> D47C7B74-BB01-4614-B683-652F7130729C 2 0.0237 0.9258 0.000 0.996 0.004
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 1 0.7165 0.7599 0.716 0.112 0.172
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 2 0.4834 0.7021 0.204 0.792 0.004
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.4346 0.8386 0.816 0.000 0.184
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.0237 0.9270 0.004 0.996 0.000
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.4994 0.8389 0.816 0.024 0.160
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 1 0.9008 0.4799 0.540 0.296 0.164
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 2 0.1267 0.9162 0.024 0.972 0.004
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 2 0.0237 0.9258 0.000 0.996 0.004
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 3 0.4002 0.9509 0.160 0.000 0.840
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 2 0.2772 0.8722 0.080 0.916 0.004
#> 58F11B66-AE40-417E-B465-811C6CF7311C 1 0.4840 0.8398 0.816 0.016 0.168
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.0661 0.8589 0.988 0.004 0.008
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 2 0.0661 0.9253 0.008 0.988 0.004
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 2 0.1031 0.9213 0.024 0.976 0.000
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 2 0.1267 0.9162 0.024 0.972 0.004
#> 739952C6-FF36-4E34-B881-E02FE17C4012 1 0.0983 0.8561 0.980 0.004 0.016
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 1 0.0829 0.8577 0.984 0.004 0.012
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 2 0.0237 0.9270 0.004 0.996 0.000
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 1 0.0829 0.8578 0.984 0.004 0.012
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 1 0.4645 0.8399 0.816 0.008 0.176
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 1 0.4178 0.8422 0.828 0.000 0.172
#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 1 0.1163 0.8591 0.972 0.000 0.028
#> F6B26185-139B-47A7-91EC-E885D94AC882 1 0.1525 0.8508 0.964 0.004 0.032
#> 81F30B6F-3E9A-4913-986B-C56D5F107A17 1 0.0661 0.8589 0.988 0.004 0.008
#> 2CCB3AE1-0D27-4493-B7AE-67C60BBC1C38 2 0.0237 0.9258 0.000 0.996 0.004
#> 329665BC-B959-47C5-B831-5546F94EDAC1 1 0.0661 0.8589 0.988 0.004 0.008
#> 8D4335F6-6ACB-4E38-B9F2-A2B5B647AE90 1 0.1170 0.8622 0.976 0.016 0.008
#> D181D0D8-FD8C-4259-9B34-97224CF27E1B 1 0.0983 0.8618 0.980 0.016 0.004
#> C0C10950-ABC5-4125-A33E-5AFA2D2574B0 2 0.0237 0.9258 0.000 0.996 0.004
#> 834D12DB-0925-422C-B15B-20A60A5F658C 1 0.0983 0.8607 0.980 0.016 0.004
#> 50314689-519F-4B27-884C-7816DD64CF4E 1 0.4921 0.8396 0.816 0.020 0.164
#> 2502A23E-E168-4A78-9C14-B93FBC9715B1 3 0.4465 0.9384 0.176 0.004 0.820
#> 3F8D01A3-5449-48A1-BDBA-BFE4D908AE31 2 0.1129 0.9213 0.020 0.976 0.004
#> 1C47A87B-C033-4705-B903-DB33B8C6EC34 2 0.2845 0.8830 0.068 0.920 0.012
#> 1329E1C1-743E-4541-9081-165572D4BF47 2 0.3030 0.8588 0.092 0.904 0.004
#> 1F3F8680-EEB6-4532-B81D-51957D1EA502 1 0.0829 0.8598 0.984 0.012 0.004
#> 50F69785-8B7A-4933-85B1-8DC539ACC72A 1 0.0983 0.8561 0.980 0.004 0.016
#> 9095FDD8-EEB2-4B17-85AB-3CDAC0BEC759 1 0.4196 0.8551 0.864 0.024 0.112
#> B6BF8C22-03E4-44F0-B2EF-2A3DD6ADE7D7 1 0.0829 0.8598 0.984 0.012 0.004
#> D6A907FC-3A1B-4E3B-A440-1CE9BE9B334B 2 0.0424 0.9263 0.008 0.992 0.000
#> 02588D5D-89CB-4D0B-9E96-A0270C3FF866 2 0.0661 0.9244 0.008 0.988 0.004
#> D50BBFC7-7774-4B12-938C-8D5373C12DFC 2 0.0237 0.9270 0.004 0.996 0.000
#> 6E930060-502B-49F5-A385-9B91DEBD05E4 1 0.4099 0.8512 0.852 0.008 0.140
#> F6606A8E-ACC6-4826-9547-E0017521724D 1 0.0983 0.8631 0.980 0.004 0.016
#> 981584D3-10DB-455C-8132-E8E5F44E1222 1 0.2682 0.8347 0.920 0.076 0.004
#> 47F6E197-7164-4289-95B5-8FD305A13B4C 1 0.0983 0.8561 0.980 0.004 0.016
#> 4522D871-9379-4643-B15E-9ACB556276C4 1 0.1774 0.8617 0.960 0.016 0.024
#> 7560B2B5-6AF5-4600-9F0A-BE25CF99B6B9 1 0.0661 0.8589 0.988 0.004 0.008
#> 38F5957E-0A99-432D-8F0B-B48E03F17668 1 0.3293 0.8602 0.900 0.012 0.088
#> 7A6BBBE6-2B3B-44EB-A101-C823739AB24F 2 0.0000 0.9263 0.000 1.000 0.000
#> 0782D25A-3B14-499E-A40C-3852B3A15B8B 2 0.0829 0.9236 0.012 0.984 0.004
#> 31D4B639-D1E5-479B-AEC2-34F758F2E470 1 0.0983 0.8561 0.980 0.004 0.016
#> C49078E1-E730-4E81-8EAE-5AAAB9FA1BF5 2 0.4733 0.7100 0.196 0.800 0.004
#> 48BCD3B8-917F-4E8F-BCEA-1363570A6486 1 0.4293 0.7881 0.832 0.164 0.004
#> F3BA6259-9F68-47D0-ABDD-1272AE112CAB 2 0.0237 0.9270 0.004 0.996 0.000
#> 3CA49BB1-30F6-47F3-A751-D5601E16BDBA 1 0.0848 0.8598 0.984 0.008 0.008
#> 47747595-686A-46B5-9EF4-A4CFB85D746D 3 0.4002 0.9509 0.160 0.000 0.840
#> 87974EFF-C2DE-4930-93E3-015E6D996440 2 0.0661 0.9253 0.008 0.988 0.004
#> 7D272E6C-826D-4D02-8383-6A3D5BBF3A5F 3 0.4002 0.9509 0.160 0.000 0.840
#> 070E540B-34DB-4016-B573-84924407F57F 1 0.0592 0.8600 0.988 0.000 0.012
#> 63F4281A-4D90-4589-879E-549097FB3459 1 0.1878 0.8637 0.952 0.004 0.044
#> 93A66EA0-0C74-4342-8140-72ECB01F99A1 1 0.0661 0.8589 0.988 0.004 0.008
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#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 2 0.0237 0.9258 0.000 0.996 0.004
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.5060 0.8382 0.816 0.028 0.156
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 1 0.4015 0.8046 0.876 0.096 0.028
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 1 0.0983 0.8561 0.980 0.004 0.016
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.4002 0.9509 0.160 0.000 0.840
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 2 0.0237 0.9258 0.000 0.996 0.004
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 2 0.0237 0.9258 0.000 0.996 0.004
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 1 0.2682 0.8333 0.920 0.076 0.004
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 2 0.4293 0.7526 0.164 0.832 0.004
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.0237 0.9270 0.004 0.996 0.000
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.1399 0.8499 0.968 0.004 0.028
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 2 0.0424 0.9246 0.000 0.992 0.008
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.4521 0.8389 0.816 0.004 0.180
#> 057B580C-13FD-4185-943C-9DD5266B8554 1 0.6994 0.0286 0.556 0.020 0.424
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 1 0.4840 0.8398 0.816 0.016 0.168
#> 287F3696-25CF-4E67-A934-E50856AD4790 2 0.4291 0.7570 0.152 0.840 0.008
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 1 0.8063 0.6050 0.644 0.224 0.132
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 1 0.0661 0.8589 0.988 0.004 0.008
#> B80A74AB-A264-4396-93F8-FD976DBC1456 2 0.0237 0.9258 0.000 0.996 0.004
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.0237 0.9270 0.004 0.996 0.000
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.4645 0.8399 0.816 0.008 0.176
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.4840 0.8398 0.816 0.016 0.168
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 1 0.5062 0.8351 0.800 0.016 0.184
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 2 0.0424 0.9246 0.000 0.992 0.008
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 1 0.5656 0.6019 0.712 0.284 0.004
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.0983 0.8561 0.980 0.004 0.016
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 1 0.5982 0.5614 0.668 0.328 0.004
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.0000 0.9263 0.000 1.000 0.000
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.1411 0.8548 0.964 0.000 0.036
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 1 0.5873 0.5516 0.684 0.312 0.004
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 2 0.0661 0.9253 0.008 0.988 0.004
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 1 0.6892 0.7716 0.736 0.112 0.152
#> DD292494-92A2-43CB-B59B-726B2F429B29 2 0.3030 0.8606 0.092 0.904 0.004
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.0661 0.8589 0.988 0.004 0.008
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 2 0.5357 0.7808 0.064 0.820 0.116
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 1 0.5062 0.8343 0.800 0.016 0.184
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 1 0.0829 0.8577 0.984 0.004 0.012
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 1 0.4921 0.8396 0.816 0.020 0.164
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 3 0.4452 0.9193 0.192 0.000 0.808
#> 74CF740D-201D-4070-99B9-F007E7C4D472 1 0.0983 0.8561 0.980 0.004 0.016
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 2 0.5656 0.5620 0.284 0.712 0.004
#> 78F28873-E471-497A-9405-FB8955808599 2 0.0237 0.9250 0.000 0.996 0.004
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.0237 0.9270 0.004 0.996 0.000
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.0000 0.9263 0.000 1.000 0.000
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 1 0.5785 0.5513 0.668 0.332 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.0000 0.9217 0.000 0.000 1.000 0.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.0000 0.8665 1.000 0.000 0.000 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 1 0.0000 0.8665 1.000 0.000 0.000 0.000
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.0000 0.8665 1.000 0.000 0.000 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.0000 0.8665 1.000 0.000 0.000 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.3768 0.6922 0.808 0.000 0.184 0.008
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.0000 0.8581 0.000 1.000 0.000 0.000
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 4 0.0000 0.9123 0.000 0.000 0.000 1.000
#> 18971368-40F0-42D3-B1A3-707850C53B18 4 0.0000 0.9123 0.000 0.000 0.000 1.000
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 1 0.1890 0.8388 0.936 0.008 0.000 0.056
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 1 0.4985 0.2711 0.532 0.000 0.000 0.468
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 4 0.3569 0.7148 0.000 0.196 0.000 0.804
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 4 0.1211 0.8776 0.040 0.000 0.000 0.960
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 1 0.0000 0.8665 1.000 0.000 0.000 0.000
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 4 0.0000 0.9123 0.000 0.000 0.000 1.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 2 0.0000 0.8581 0.000 1.000 0.000 0.000
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 1 0.4420 0.6991 0.748 0.012 0.000 0.240
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 1 0.3649 0.7462 0.796 0.000 0.000 0.204
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.0000 0.8665 1.000 0.000 0.000 0.000
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.4522 0.5182 0.680 0.000 0.000 0.320
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 4 0.0000 0.9123 0.000 0.000 0.000 1.000
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 2 0.0000 0.8581 0.000 1.000 0.000 0.000
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 4 0.0000 0.9123 0.000 0.000 0.000 1.000
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 3 0.6110 0.5515 0.100 0.000 0.660 0.240
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 1 0.1940 0.8280 0.924 0.076 0.000 0.000
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 1 0.0000 0.8665 1.000 0.000 0.000 0.000
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.0000 0.8665 1.000 0.000 0.000 0.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 1 0.0000 0.8665 1.000 0.000 0.000 0.000
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 4 0.0000 0.9123 0.000 0.000 0.000 1.000
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 2 0.0000 0.8581 0.000 1.000 0.000 0.000
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 1 0.0000 0.8665 1.000 0.000 0.000 0.000
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.0000 0.8581 0.000 1.000 0.000 0.000
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.0000 0.8665 1.000 0.000 0.000 0.000
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 2 0.0000 0.8581 0.000 1.000 0.000 0.000
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 1 0.6946 0.5129 0.588 0.212 0.000 0.200
#> BE56F908-42DD-4019-A8AC-48884DA788B1 1 0.4465 0.7663 0.800 0.056 0.000 0.144
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 4 0.4378 0.7258 0.040 0.164 0.000 0.796
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 4 0.5506 -0.0686 0.472 0.016 0.000 0.512
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 1 0.6834 0.5257 0.596 0.000 0.164 0.240
#> 791D9EB8-42E0-4192-B064-B1126CA14481 4 0.0000 0.9123 0.000 0.000 0.000 1.000
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 2 0.0000 0.8581 0.000 1.000 0.000 0.000
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 2 0.2589 0.7770 0.116 0.884 0.000 0.000
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 4 0.0336 0.9068 0.008 0.000 0.000 0.992
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.0000 0.8665 1.000 0.000 0.000 0.000
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 3 0.0188 0.9205 0.000 0.000 0.996 0.004
#> D47C7B74-BB01-4614-B683-652F7130729C 2 0.0000 0.8581 0.000 1.000 0.000 0.000
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 1 0.0000 0.8665 1.000 0.000 0.000 0.000
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 1 0.0000 0.8665 1.000 0.000 0.000 0.000
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.0000 0.8665 1.000 0.000 0.000 0.000
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.3486 0.7065 0.188 0.812 0.000 0.000
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.0000 0.8665 1.000 0.000 0.000 0.000
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 1 0.0000 0.8665 1.000 0.000 0.000 0.000
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 2 0.4967 0.0793 0.000 0.548 0.000 0.452
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 2 0.0000 0.8581 0.000 1.000 0.000 0.000
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 3 0.3837 0.6677 0.000 0.000 0.776 0.224
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 1 0.0000 0.8665 1.000 0.000 0.000 0.000
#> 58F11B66-AE40-417E-B465-811C6CF7311C 1 0.0000 0.8665 1.000 0.000 0.000 0.000
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 4 0.4304 0.5350 0.284 0.000 0.000 0.716
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 1 0.3837 0.6979 0.776 0.224 0.000 0.000
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 1 0.4522 0.5488 0.680 0.320 0.000 0.000
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 4 0.4406 0.5637 0.000 0.300 0.000 0.700
#> 739952C6-FF36-4E34-B881-E02FE17C4012 4 0.0000 0.9123 0.000 0.000 0.000 1.000
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 4 0.0000 0.9123 0.000 0.000 0.000 1.000
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 2 0.4331 0.5895 0.288 0.712 0.000 0.000
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 4 0.0336 0.9081 0.000 0.000 0.008 0.992
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 1 0.0000 0.8665 1.000 0.000 0.000 0.000
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 1 0.0000 0.8665 1.000 0.000 0.000 0.000
#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 1 0.1474 0.8454 0.948 0.000 0.000 0.052
#> F6B26185-139B-47A7-91EC-E885D94AC882 4 0.3444 0.7363 0.000 0.000 0.184 0.816
#> 81F30B6F-3E9A-4913-986B-C56D5F107A17 4 0.0000 0.9123 0.000 0.000 0.000 1.000
#> 2CCB3AE1-0D27-4493-B7AE-67C60BBC1C38 2 0.0000 0.8581 0.000 1.000 0.000 0.000
#> 329665BC-B959-47C5-B831-5546F94EDAC1 4 0.0000 0.9123 0.000 0.000 0.000 1.000
#> 8D4335F6-6ACB-4E38-B9F2-A2B5B647AE90 1 0.4431 0.6211 0.696 0.000 0.000 0.304
#> D181D0D8-FD8C-4259-9B34-97224CF27E1B 4 0.2814 0.7593 0.132 0.000 0.000 0.868
#> C0C10950-ABC5-4125-A33E-5AFA2D2574B0 2 0.0000 0.8581 0.000 1.000 0.000 0.000
#> 834D12DB-0925-422C-B15B-20A60A5F658C 4 0.3208 0.7401 0.148 0.004 0.000 0.848
#> 50314689-519F-4B27-884C-7816DD64CF4E 1 0.0000 0.8665 1.000 0.000 0.000 0.000
#> 2502A23E-E168-4A78-9C14-B93FBC9715B1 3 0.3975 0.6417 0.000 0.000 0.760 0.240
#> 3F8D01A3-5449-48A1-BDBA-BFE4D908AE31 1 0.4916 0.2918 0.576 0.424 0.000 0.000
#> 1C47A87B-C033-4705-B903-DB33B8C6EC34 1 0.0000 0.8665 1.000 0.000 0.000 0.000
#> 1329E1C1-743E-4541-9081-165572D4BF47 1 0.0000 0.8665 1.000 0.000 0.000 0.000
#> 1F3F8680-EEB6-4532-B81D-51957D1EA502 1 0.4746 0.3966 0.632 0.000 0.000 0.368
#> 50F69785-8B7A-4933-85B1-8DC539ACC72A 4 0.0000 0.9123 0.000 0.000 0.000 1.000
#> 9095FDD8-EEB2-4B17-85AB-3CDAC0BEC759 1 0.0000 0.8665 1.000 0.000 0.000 0.000
#> B6BF8C22-03E4-44F0-B2EF-2A3DD6ADE7D7 4 0.0000 0.9123 0.000 0.000 0.000 1.000
#> D6A907FC-3A1B-4E3B-A440-1CE9BE9B334B 1 0.4877 0.3395 0.592 0.408 0.000 0.000
#> 02588D5D-89CB-4D0B-9E96-A0270C3FF866 2 0.3972 0.6075 0.008 0.788 0.000 0.204
#> D50BBFC7-7774-4B12-938C-8D5373C12DFC 2 0.3123 0.7394 0.156 0.844 0.000 0.000
#> 6E930060-502B-49F5-A385-9B91DEBD05E4 1 0.0000 0.8665 1.000 0.000 0.000 0.000
#> F6606A8E-ACC6-4826-9547-E0017521724D 4 0.4406 0.5044 0.300 0.000 0.000 0.700
#> 981584D3-10DB-455C-8132-E8E5F44E1222 4 0.0707 0.9001 0.000 0.020 0.000 0.980
#> 47F6E197-7164-4289-95B5-8FD305A13B4C 4 0.0000 0.9123 0.000 0.000 0.000 1.000
#> 4522D871-9379-4643-B15E-9ACB556276C4 1 0.3975 0.7063 0.760 0.000 0.000 0.240
#> 7560B2B5-6AF5-4600-9F0A-BE25CF99B6B9 4 0.0000 0.9123 0.000 0.000 0.000 1.000
#> 38F5957E-0A99-432D-8F0B-B48E03F17668 1 0.0000 0.8665 1.000 0.000 0.000 0.000
#> 7A6BBBE6-2B3B-44EB-A101-C823739AB24F 2 0.0524 0.8536 0.008 0.988 0.000 0.004
#> 0782D25A-3B14-499E-A40C-3852B3A15B8B 1 0.4948 0.2395 0.560 0.440 0.000 0.000
#> 31D4B639-D1E5-479B-AEC2-34F758F2E470 4 0.0000 0.9123 0.000 0.000 0.000 1.000
#> C49078E1-E730-4E81-8EAE-5AAAB9FA1BF5 2 0.4989 0.0134 0.000 0.528 0.000 0.472
#> 48BCD3B8-917F-4E8F-BCEA-1363570A6486 1 0.5097 0.3612 0.568 0.004 0.000 0.428
#> F3BA6259-9F68-47D0-ABDD-1272AE112CAB 2 0.4072 0.6346 0.252 0.748 0.000 0.000
#> 3CA49BB1-30F6-47F3-A751-D5601E16BDBA 4 0.0000 0.9123 0.000 0.000 0.000 1.000
#> 47747595-686A-46B5-9EF4-A4CFB85D746D 3 0.0188 0.9205 0.000 0.000 0.996 0.004
#> 87974EFF-C2DE-4930-93E3-015E6D996440 2 0.4843 0.3361 0.396 0.604 0.000 0.000
#> 7D272E6C-826D-4D02-8383-6A3D5BBF3A5F 3 0.0000 0.9217 0.000 0.000 1.000 0.000
#> 070E540B-34DB-4016-B573-84924407F57F 1 0.4790 0.4947 0.620 0.000 0.000 0.380
#> 63F4281A-4D90-4589-879E-549097FB3459 4 0.4277 0.5366 0.280 0.000 0.000 0.720
#> 93A66EA0-0C74-4342-8140-72ECB01F99A1 4 0.0817 0.8925 0.024 0.000 0.000 0.976
#> C92AD683-FD09-4DD2-A5A5-C72EA5DD9B46 1 0.0000 0.8665 1.000 0.000 0.000 0.000
#> 38D2BE9E-15D4-47BC-8FEB-55310F23825B 2 0.4999 -0.0472 0.492 0.508 0.000 0.000
#> B3029936-1EEF-4378-AA28-D5B2A32CDC86 1 0.4843 0.4399 0.604 0.000 0.000 0.396
#> 9A33172F-AEEA-4B7D-9605-0C60D7872CEA 4 0.0000 0.9123 0.000 0.000 0.000 1.000
#> F2BC32E5-4117-468E-B637-9EDB6E9CC6C7 4 0.2814 0.7998 0.000 0.000 0.132 0.868
#> EC319D0D-96C5-49DB-A2C4-BB6BFED6844F 1 0.0000 0.8665 1.000 0.000 0.000 0.000
#> 8CB71499-1B35-417D-95E1-D85CE71A2D8A 1 0.0000 0.8665 1.000 0.000 0.000 0.000
#> C5986AA8-D1C7-47BB-946F-1AE00503A444 2 0.5155 0.1024 0.468 0.528 0.000 0.004
#> CDB44ECD-3F01-4865-B4CC-5190E0FB64DC 1 0.0000 0.8665 1.000 0.000 0.000 0.000
#> 57633DCE-DC21-42AE-82EB-81F532CE9840 2 0.0000 0.8581 0.000 1.000 0.000 0.000
#> 715C1406-D224-466D-968E-46889824CD3D 1 0.0000 0.8665 1.000 0.000 0.000 0.000
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#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 2 0.0000 0.8581 0.000 1.000 0.000 0.000
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 2 0.1716 0.7999 0.000 0.936 0.000 0.064
#> E2A4C651-977F-4F40-B5EC-46DF75944141 4 0.0000 0.9123 0.000 0.000 0.000 1.000
#> 433599CC-9DF5-4494-A607-8079FFE74D95 1 0.4356 0.6006 0.708 0.292 0.000 0.000
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 1 0.4164 0.6442 0.736 0.264 0.000 0.000
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 2 0.0000 0.8581 0.000 1.000 0.000 0.000
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.0000 0.8665 1.000 0.000 0.000 0.000
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 1 0.0469 0.8603 0.988 0.000 0.012 0.000
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 4 0.0000 0.9123 0.000 0.000 0.000 1.000
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.0000 0.9217 0.000 0.000 1.000 0.000
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 2 0.0000 0.8581 0.000 1.000 0.000 0.000
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 2 0.0000 0.8581 0.000 1.000 0.000 0.000
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 1 0.3975 0.7063 0.760 0.000 0.000 0.240
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 1 0.4182 0.7539 0.796 0.024 0.000 0.180
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.0000 0.8581 0.000 1.000 0.000 0.000
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 4 0.0188 0.9103 0.000 0.000 0.004 0.996
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 2 0.0000 0.8581 0.000 1.000 0.000 0.000
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.0000 0.8665 1.000 0.000 0.000 0.000
#> 057B580C-13FD-4185-943C-9DD5266B8554 1 0.3801 0.7279 0.780 0.000 0.000 0.220
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 1 0.0000 0.8665 1.000 0.000 0.000 0.000
#> 287F3696-25CF-4E67-A934-E50856AD4790 2 0.0188 0.8556 0.000 0.996 0.000 0.004
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 1 0.3610 0.7468 0.800 0.000 0.000 0.200
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 4 0.4679 0.3746 0.352 0.000 0.000 0.648
#> B80A74AB-A264-4396-93F8-FD976DBC1456 2 0.0000 0.8581 0.000 1.000 0.000 0.000
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.1637 0.8231 0.060 0.940 0.000 0.000
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.0000 0.8665 1.000 0.000 0.000 0.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.0000 0.8665 1.000 0.000 0.000 0.000
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 1 0.0000 0.8665 1.000 0.000 0.000 0.000
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 2 0.0000 0.8581 0.000 1.000 0.000 0.000
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 4 0.1302 0.8815 0.000 0.044 0.000 0.956
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 4 0.0000 0.9123 0.000 0.000 0.000 1.000
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 1 0.0000 0.8665 1.000 0.000 0.000 0.000
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.0000 0.8581 0.000 1.000 0.000 0.000
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.6111 0.5757 0.652 0.000 0.092 0.256
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 4 0.1867 0.8566 0.000 0.072 0.000 0.928
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 2 0.4679 0.4527 0.352 0.648 0.000 0.000
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 1 0.0000 0.8665 1.000 0.000 0.000 0.000
#> DD292494-92A2-43CB-B59B-726B2F429B29 1 0.0000 0.8665 1.000 0.000 0.000 0.000
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 4 0.0000 0.9123 0.000 0.000 0.000 1.000
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 1 0.0000 0.8665 1.000 0.000 0.000 0.000
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 1 0.3444 0.7594 0.816 0.000 0.000 0.184
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 4 0.0000 0.9123 0.000 0.000 0.000 1.000
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 1 0.0000 0.8665 1.000 0.000 0.000 0.000
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 3 0.4840 0.6222 0.028 0.000 0.732 0.240
#> 74CF740D-201D-4070-99B9-F007E7C4D472 4 0.0000 0.9123 0.000 0.000 0.000 1.000
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 4 0.2589 0.8113 0.000 0.116 0.000 0.884
#> 78F28873-E471-497A-9405-FB8955808599 2 0.0000 0.8581 0.000 1.000 0.000 0.000
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.2408 0.7887 0.104 0.896 0.000 0.000
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.0817 0.8406 0.000 0.976 0.000 0.024
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 1 0.5296 0.1361 0.496 0.008 0.000 0.496
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.0000 0.8717 0.000 0.000 1.000 0.000 0.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 4 0.1544 0.8537 0.068 0.000 0.000 0.932 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 4 0.2377 0.8306 0.000 0.128 0.000 0.872 0.000
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 4 0.0290 0.8776 0.000 0.008 0.000 0.992 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 4 0.1043 0.8724 0.000 0.040 0.000 0.960 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 4 0.6004 0.6037 0.160 0.000 0.152 0.656 0.032
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.1908 0.5946 0.000 0.908 0.000 0.000 0.092
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 1 0.2377 0.8203 0.872 0.000 0.000 0.000 0.128
#> 18971368-40F0-42D3-B1A3-707850C53B18 1 0.1205 0.8258 0.956 0.000 0.000 0.004 0.040
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 4 0.6253 0.5716 0.040 0.208 0.000 0.628 0.124
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 1 0.5518 0.0133 0.500 0.000 0.012 0.448 0.040
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 2 0.5600 0.4774 0.096 0.588 0.000 0.000 0.316
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 1 0.2136 0.7778 0.904 0.000 0.000 0.088 0.008
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 4 0.1965 0.8496 0.000 0.096 0.000 0.904 0.000
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 1 0.1282 0.8224 0.952 0.000 0.000 0.004 0.044
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 5 0.3837 0.9363 0.000 0.308 0.000 0.000 0.692
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 2 0.7179 0.1824 0.032 0.404 0.000 0.380 0.184
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 4 0.2284 0.8641 0.056 0.028 0.000 0.912 0.004
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 4 0.0000 0.8776 0.000 0.000 0.000 1.000 0.000
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.4862 0.3330 0.604 0.000 0.000 0.364 0.032
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 1 0.3687 0.7511 0.792 0.028 0.000 0.000 0.180
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 2 0.1965 0.5930 0.000 0.904 0.000 0.000 0.096
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 1 0.1792 0.8255 0.916 0.000 0.000 0.000 0.084
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 4 0.5744 0.2306 0.076 0.000 0.400 0.520 0.004
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 4 0.1965 0.8434 0.000 0.096 0.000 0.904 0.000
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 4 0.0703 0.8764 0.000 0.024 0.000 0.976 0.000
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 4 0.0000 0.8776 0.000 0.000 0.000 1.000 0.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 4 0.0703 0.8764 0.000 0.024 0.000 0.976 0.000
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 1 0.2377 0.8183 0.872 0.000 0.000 0.000 0.128
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 5 0.3837 0.9363 0.000 0.308 0.000 0.000 0.692
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 4 0.0162 0.8770 0.004 0.000 0.000 0.996 0.000
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.2230 0.6011 0.000 0.884 0.000 0.000 0.116
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 4 0.0000 0.8776 0.000 0.000 0.000 1.000 0.000
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 2 0.2074 0.6004 0.000 0.896 0.000 0.000 0.104
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 2 0.5084 0.4789 0.000 0.616 0.000 0.332 0.052
#> BE56F908-42DD-4019-A8AC-48884DA788B1 2 0.4443 0.0869 0.004 0.524 0.000 0.472 0.000
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 2 0.5656 0.4721 0.104 0.588 0.000 0.000 0.308
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 4 0.7961 0.0193 0.100 0.280 0.000 0.408 0.212
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 4 0.7090 0.5611 0.152 0.056 0.140 0.616 0.036
#> 791D9EB8-42E0-4192-B064-B1126CA14481 1 0.2233 0.8195 0.892 0.004 0.000 0.000 0.104
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 2 0.3242 0.4339 0.000 0.784 0.000 0.000 0.216
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 2 0.1365 0.6579 0.004 0.952 0.000 0.040 0.004
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 1 0.1168 0.8181 0.960 0.000 0.000 0.032 0.008
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 4 0.0000 0.8776 0.000 0.000 0.000 1.000 0.000
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 3 0.0898 0.8617 0.020 0.000 0.972 0.000 0.008
#> D47C7B74-BB01-4614-B683-652F7130729C 2 0.2127 0.5849 0.000 0.892 0.000 0.000 0.108
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 4 0.1484 0.8694 0.008 0.048 0.000 0.944 0.000
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 4 0.2179 0.8422 0.000 0.112 0.000 0.888 0.000
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 4 0.0794 0.8717 0.028 0.000 0.000 0.972 0.000
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.1544 0.6568 0.000 0.932 0.000 0.068 0.000
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 4 0.0404 0.8777 0.000 0.012 0.000 0.988 0.000
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 4 0.0794 0.8754 0.000 0.028 0.000 0.972 0.000
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 2 0.4339 0.5527 0.020 0.684 0.000 0.000 0.296
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 5 0.3796 0.9443 0.000 0.300 0.000 0.000 0.700
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 3 0.5247 0.4921 0.072 0.000 0.652 0.272 0.004
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 4 0.2329 0.8334 0.000 0.124 0.000 0.876 0.000
#> 58F11B66-AE40-417E-B465-811C6CF7311C 4 0.0000 0.8776 0.000 0.000 0.000 1.000 0.000
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.3266 0.6452 0.796 0.000 0.000 0.200 0.004
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 2 0.4256 0.2324 0.000 0.564 0.000 0.436 0.000
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 2 0.4101 0.4170 0.000 0.628 0.000 0.372 0.000
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 2 0.5674 0.4624 0.100 0.576 0.000 0.000 0.324
#> 739952C6-FF36-4E34-B881-E02FE17C4012 1 0.0566 0.8261 0.984 0.000 0.000 0.004 0.012
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 1 0.0865 0.8283 0.972 0.000 0.000 0.004 0.024
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 2 0.1851 0.6505 0.000 0.912 0.000 0.088 0.000
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 1 0.2011 0.8284 0.908 0.000 0.000 0.004 0.088
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 4 0.0000 0.8776 0.000 0.000 0.000 1.000 0.000
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 4 0.1608 0.8513 0.072 0.000 0.000 0.928 0.000
#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 4 0.3099 0.8000 0.124 0.000 0.000 0.848 0.028
#> F6B26185-139B-47A7-91EC-E885D94AC882 1 0.3243 0.7370 0.848 0.000 0.116 0.004 0.032
#> 81F30B6F-3E9A-4913-986B-C56D5F107A17 1 0.1792 0.8255 0.916 0.000 0.000 0.000 0.084
#> 2CCB3AE1-0D27-4493-B7AE-67C60BBC1C38 5 0.3796 0.9443 0.000 0.300 0.000 0.000 0.700
#> 329665BC-B959-47C5-B831-5546F94EDAC1 1 0.2280 0.8216 0.880 0.000 0.000 0.000 0.120
#> 8D4335F6-6ACB-4E38-B9F2-A2B5B647AE90 4 0.5619 0.5173 0.288 0.032 0.000 0.632 0.048
#> D181D0D8-FD8C-4259-9B34-97224CF27E1B 2 0.7500 0.2102 0.364 0.424 0.000 0.112 0.100
#> C0C10950-ABC5-4125-A33E-5AFA2D2574B0 2 0.1952 0.6061 0.004 0.912 0.000 0.000 0.084
#> 834D12DB-0925-422C-B15B-20A60A5F658C 1 0.8185 0.0455 0.356 0.268 0.000 0.264 0.112
#> 50314689-519F-4B27-884C-7816DD64CF4E 4 0.0000 0.8776 0.000 0.000 0.000 1.000 0.000
#> 2502A23E-E168-4A78-9C14-B93FBC9715B1 3 0.4581 0.3981 0.360 0.000 0.624 0.004 0.012
#> 3F8D01A3-5449-48A1-BDBA-BFE4D908AE31 2 0.3774 0.5041 0.000 0.704 0.000 0.296 0.000
#> 1C47A87B-C033-4705-B903-DB33B8C6EC34 4 0.2517 0.8433 0.008 0.104 0.000 0.884 0.004
#> 1329E1C1-743E-4541-9081-165572D4BF47 4 0.2516 0.8218 0.000 0.140 0.000 0.860 0.000
#> 1F3F8680-EEB6-4532-B81D-51957D1EA502 4 0.4589 0.5362 0.316 0.004 0.000 0.660 0.020
#> 50F69785-8B7A-4933-85B1-8DC539ACC72A 1 0.1282 0.8224 0.952 0.000 0.000 0.004 0.044
#> 9095FDD8-EEB2-4B17-85AB-3CDAC0BEC759 4 0.0794 0.8755 0.000 0.028 0.000 0.972 0.000
#> B6BF8C22-03E4-44F0-B2EF-2A3DD6ADE7D7 1 0.3849 0.7169 0.752 0.016 0.000 0.000 0.232
#> D6A907FC-3A1B-4E3B-A440-1CE9BE9B334B 2 0.2813 0.6150 0.000 0.832 0.000 0.168 0.000
#> 02588D5D-89CB-4D0B-9E96-A0270C3FF866 2 0.3756 0.5677 0.008 0.744 0.000 0.000 0.248
#> D50BBFC7-7774-4B12-938C-8D5373C12DFC 2 0.1591 0.6584 0.004 0.940 0.000 0.052 0.004
#> 6E930060-502B-49F5-A385-9B91DEBD05E4 4 0.0162 0.8770 0.004 0.000 0.000 0.996 0.000
#> F6606A8E-ACC6-4826-9547-E0017521724D 1 0.3039 0.6975 0.836 0.000 0.000 0.152 0.012
#> 981584D3-10DB-455C-8132-E8E5F44E1222 1 0.6814 -0.1224 0.352 0.344 0.000 0.000 0.304
#> 47F6E197-7164-4289-95B5-8FD305A13B4C 1 0.1357 0.8274 0.948 0.000 0.000 0.004 0.048
#> 4522D871-9379-4643-B15E-9ACB556276C4 4 0.4330 0.7487 0.152 0.036 0.000 0.784 0.028
#> 7560B2B5-6AF5-4600-9F0A-BE25CF99B6B9 1 0.0771 0.8241 0.976 0.000 0.000 0.004 0.020
#> 38F5957E-0A99-432D-8F0B-B48E03F17668 4 0.0000 0.8776 0.000 0.000 0.000 1.000 0.000
#> 7A6BBBE6-2B3B-44EB-A101-C823739AB24F 2 0.3366 0.6009 0.004 0.784 0.000 0.000 0.212
#> 0782D25A-3B14-499E-A40C-3852B3A15B8B 2 0.3242 0.5772 0.000 0.784 0.000 0.216 0.000
#> 31D4B639-D1E5-479B-AEC2-34F758F2E470 1 0.0955 0.8263 0.968 0.000 0.000 0.004 0.028
#> C49078E1-E730-4E81-8EAE-5AAAB9FA1BF5 2 0.5060 0.5295 0.104 0.692 0.000 0.000 0.204
#> 48BCD3B8-917F-4E8F-BCEA-1363570A6486 2 0.7705 0.2568 0.080 0.408 0.000 0.336 0.176
#> F3BA6259-9F68-47D0-ABDD-1272AE112CAB 2 0.1638 0.6584 0.000 0.932 0.000 0.064 0.004
#> 3CA49BB1-30F6-47F3-A751-D5601E16BDBA 1 0.1792 0.8267 0.916 0.000 0.000 0.000 0.084
#> 47747595-686A-46B5-9EF4-A4CFB85D746D 3 0.1990 0.8366 0.068 0.000 0.920 0.004 0.008
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#> 48A2AAEB-7F60-4284-808E-2058A531B17C 2 0.2127 0.5849 0.000 0.892 0.000 0.000 0.108
#> D4276C6F-9F0F-4F74-A85E-1E54272ADDED 2 0.1205 0.6543 0.004 0.956 0.000 0.040 0.000
#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 2 0.3274 0.5778 0.000 0.780 0.000 0.220 0.000
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 4 0.2424 0.8285 0.000 0.132 0.000 0.868 0.000
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 2 0.4927 0.5532 0.040 0.696 0.000 0.248 0.016
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 1 0.0771 0.8241 0.976 0.000 0.000 0.004 0.020
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 3 0.2011 0.8247 0.088 0.000 0.908 0.000 0.004
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 1 0.2280 0.8216 0.880 0.000 0.000 0.000 0.120
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 4 0.3412 0.7720 0.152 0.000 0.000 0.820 0.028
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 4 0.0794 0.8751 0.000 0.028 0.000 0.972 0.000
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 1 0.0451 0.8270 0.988 0.000 0.000 0.004 0.008
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 2 0.3932 0.4794 0.000 0.672 0.000 0.328 0.000
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 2 0.6175 0.4104 0.160 0.528 0.000 0.000 0.312
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 4 0.0703 0.8763 0.000 0.024 0.000 0.976 0.000
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 2 0.5063 0.5224 0.056 0.632 0.000 0.000 0.312
#> C7997523-47CF-40F0-8803-AB873E38033C 1 0.1671 0.8274 0.924 0.000 0.000 0.000 0.076
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 2 0.2629 0.6464 0.004 0.880 0.000 0.104 0.012
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 5 0.3707 0.9337 0.000 0.284 0.000 0.000 0.716
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 3 0.1478 0.8418 0.064 0.000 0.936 0.000 0.000
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 4 0.4836 0.5035 0.336 0.000 0.000 0.628 0.036
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 5 0.6279 0.2380 0.280 0.192 0.000 0.000 0.528
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 4 0.2280 0.8363 0.000 0.120 0.000 0.880 0.000
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 3 0.0290 0.8701 0.008 0.000 0.992 0.000 0.000
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 1 0.5400 0.6637 0.700 0.104 0.000 0.020 0.176
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 4 0.3574 0.7550 0.168 0.000 0.000 0.804 0.028
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 4 0.1831 0.8479 0.076 0.000 0.000 0.920 0.004
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 4 0.2127 0.8440 0.000 0.108 0.000 0.892 0.000
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 1 0.1372 0.8194 0.956 0.000 0.016 0.004 0.024
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 2 0.1243 0.6377 0.004 0.960 0.000 0.008 0.028
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 4 0.7290 0.1965 0.084 0.332 0.052 0.504 0.028
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 2 0.1792 0.6513 0.000 0.916 0.000 0.084 0.000
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 4 0.4045 0.4966 0.000 0.356 0.000 0.644 0.000
#> 1DEA6525-5598-4985-9218-D61912C75437 1 0.1740 0.7990 0.932 0.000 0.000 0.056 0.012
#> E15EAAB4-0860-4716-9922-667F604CDF12 4 0.0000 0.8776 0.000 0.000 0.000 1.000 0.000
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 1 0.4596 0.7292 0.776 0.092 0.000 0.020 0.112
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 4 0.0000 0.8776 0.000 0.000 0.000 1.000 0.000
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 4 0.5515 0.6139 0.268 0.048 0.000 0.652 0.032
#> F37E118C-1066-4A84-B190-B9B78E265D94 4 0.0000 0.8776 0.000 0.000 0.000 1.000 0.000
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 2 0.1544 0.6121 0.000 0.932 0.000 0.000 0.068
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 2 0.3177 0.5820 0.000 0.792 0.000 0.000 0.208
#> E2A4C651-977F-4F40-B5EC-46DF75944141 1 0.1282 0.8224 0.952 0.000 0.000 0.004 0.044
#> 433599CC-9DF5-4494-A607-8079FFE74D95 2 0.3452 0.5579 0.000 0.756 0.000 0.244 0.000
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 2 0.4182 0.3451 0.000 0.600 0.000 0.400 0.000
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 5 0.3796 0.9443 0.000 0.300 0.000 0.000 0.700
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 4 0.0000 0.8776 0.000 0.000 0.000 1.000 0.000
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 4 0.0693 0.8781 0.008 0.012 0.000 0.980 0.000
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 1 0.0566 0.8295 0.984 0.000 0.000 0.004 0.012
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.0000 0.8717 0.000 0.000 1.000 0.000 0.000
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 5 0.4101 0.8569 0.000 0.372 0.000 0.000 0.628
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 5 0.3796 0.9443 0.000 0.300 0.000 0.000 0.700
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.6034 0.4903 0.032 0.608 0.000 0.280 0.080
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 4 0.6878 -0.0285 0.020 0.372 0.000 0.440 0.168
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.1410 0.6178 0.000 0.940 0.000 0.000 0.060
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 1 0.1173 0.8226 0.964 0.000 0.012 0.004 0.020
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 5 0.3395 0.8793 0.000 0.236 0.000 0.000 0.764
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 4 0.0000 0.8776 0.000 0.000 0.000 1.000 0.000
#> 057B580C-13FD-4185-943C-9DD5266B8554 4 0.2968 0.8143 0.092 0.008 0.000 0.872 0.028
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 4 0.0451 0.8749 0.004 0.000 0.000 0.988 0.008
#> 287F3696-25CF-4E67-A934-E50856AD4790 2 0.3462 0.4827 0.012 0.792 0.000 0.000 0.196
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 4 0.2124 0.8328 0.004 0.096 0.000 0.900 0.000
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 1 0.4608 0.4040 0.640 0.000 0.000 0.336 0.024
#> B80A74AB-A264-4396-93F8-FD976DBC1456 5 0.3796 0.9443 0.000 0.300 0.000 0.000 0.700
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.1124 0.6380 0.000 0.960 0.000 0.004 0.036
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 4 0.0000 0.8776 0.000 0.000 0.000 1.000 0.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 4 0.0000 0.8776 0.000 0.000 0.000 1.000 0.000
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 4 0.0324 0.8771 0.004 0.000 0.000 0.992 0.004
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 5 0.4294 0.5239 0.000 0.468 0.000 0.000 0.532
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.6114 0.4200 0.152 0.536 0.000 0.000 0.312
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.0451 0.8270 0.988 0.000 0.000 0.004 0.008
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 4 0.1851 0.8549 0.000 0.088 0.000 0.912 0.000
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.2074 0.5875 0.000 0.896 0.000 0.000 0.104
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 4 0.6304 0.3800 0.340 0.000 0.072 0.548 0.040
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.6086 0.4256 0.152 0.544 0.000 0.000 0.304
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 2 0.2377 0.6341 0.000 0.872 0.000 0.128 0.000
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 4 0.1732 0.8574 0.000 0.080 0.000 0.920 0.000
#> DD292494-92A2-43CB-B59B-726B2F429B29 4 0.2127 0.8449 0.000 0.108 0.000 0.892 0.000
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.0671 0.8315 0.980 0.000 0.000 0.004 0.016
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 4 0.1732 0.8578 0.000 0.080 0.000 0.920 0.000
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 4 0.1408 0.8568 0.044 0.000 0.000 0.948 0.008
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 1 0.1831 0.8299 0.920 0.000 0.000 0.004 0.076
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 4 0.0000 0.8776 0.000 0.000 0.000 1.000 0.000
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 3 0.6494 0.0638 0.144 0.000 0.432 0.416 0.008
#> 74CF740D-201D-4070-99B9-F007E7C4D472 1 0.1282 0.8224 0.952 0.000 0.000 0.004 0.044
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 2 0.6063 0.4261 0.144 0.540 0.000 0.000 0.316
#> 78F28873-E471-497A-9405-FB8955808599 2 0.2011 0.6038 0.004 0.908 0.000 0.000 0.088
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.0932 0.6492 0.004 0.972 0.000 0.020 0.004
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.3010 0.6118 0.004 0.824 0.000 0.000 0.172
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 2 0.7446 0.2178 0.044 0.396 0.000 0.352 0.208
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.0000 0.8950 0.000 0.000 1.000 0.000 0.000 0.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 4 0.2862 0.8020 0.048 0.000 0.008 0.864 0.000 0.080
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 4 0.4677 0.7183 0.076 0.196 0.000 0.708 0.020 0.000
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 4 0.0405 0.8451 0.008 0.004 0.000 0.988 0.000 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 4 0.1802 0.8342 0.012 0.072 0.000 0.916 0.000 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 4 0.6597 0.4983 0.076 0.000 0.092 0.572 0.032 0.228
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.2562 0.6727 0.000 0.828 0.000 0.000 0.172 0.000
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 1 0.4794 0.2002 0.508 0.000 0.000 0.000 0.052 0.440
#> 18971368-40F0-42D3-B1A3-707850C53B18 6 0.3107 0.6720 0.116 0.000 0.000 0.000 0.052 0.832
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 4 0.6757 0.0534 0.332 0.256 0.000 0.380 0.008 0.024
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 6 0.3756 0.6214 0.080 0.000 0.004 0.064 0.032 0.820
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 1 0.4550 0.4259 0.652 0.296 0.000 0.000 0.044 0.008
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 6 0.0547 0.7111 0.020 0.000 0.000 0.000 0.000 0.980
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 4 0.3453 0.7919 0.064 0.132 0.000 0.804 0.000 0.000
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 6 0.2971 0.6799 0.104 0.000 0.000 0.000 0.052 0.844
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 5 0.2092 0.9446 0.000 0.124 0.000 0.000 0.876 0.000
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 2 0.5515 0.2768 0.440 0.476 0.000 0.060 0.016 0.008
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 4 0.5361 0.6346 0.032 0.212 0.000 0.648 0.000 0.108
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 4 0.0000 0.8440 0.000 0.000 0.000 1.000 0.000 0.000
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 6 0.2113 0.6888 0.048 0.000 0.000 0.032 0.008 0.912
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 1 0.3785 0.5923 0.764 0.028 0.000 0.000 0.012 0.196
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 2 0.2631 0.6690 0.000 0.820 0.000 0.000 0.180 0.000
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 1 0.4157 0.2584 0.544 0.000 0.000 0.000 0.012 0.444
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 4 0.6397 0.4920 0.076 0.000 0.204 0.568 0.004 0.148
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 4 0.3627 0.7779 0.080 0.128 0.000 0.792 0.000 0.000
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 4 0.1434 0.8398 0.012 0.048 0.000 0.940 0.000 0.000
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 4 0.0146 0.8442 0.004 0.000 0.000 0.996 0.000 0.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 4 0.1563 0.8382 0.012 0.056 0.000 0.932 0.000 0.000
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 1 0.4794 0.2129 0.508 0.000 0.000 0.000 0.052 0.440
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 5 0.2003 0.9555 0.000 0.116 0.000 0.000 0.884 0.000
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 4 0.1176 0.8336 0.020 0.000 0.000 0.956 0.000 0.024
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.2946 0.6718 0.012 0.812 0.000 0.000 0.176 0.000
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 4 0.0146 0.8442 0.004 0.000 0.000 0.996 0.000 0.000
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 2 0.2527 0.6770 0.000 0.832 0.000 0.000 0.168 0.000
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 2 0.3837 0.6287 0.052 0.752 0.000 0.196 0.000 0.000
#> BE56F908-42DD-4019-A8AC-48884DA788B1 4 0.4984 0.2177 0.056 0.460 0.000 0.480 0.004 0.000
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 2 0.4959 0.3443 0.388 0.556 0.000 0.000 0.040 0.016
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 1 0.6890 -0.0697 0.432 0.368 0.000 0.116 0.020 0.064
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 4 0.5745 0.6568 0.064 0.000 0.080 0.680 0.032 0.144
#> 791D9EB8-42E0-4192-B064-B1126CA14481 1 0.3652 0.5461 0.720 0.016 0.000 0.000 0.000 0.264
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 2 0.3634 0.4184 0.000 0.644 0.000 0.000 0.356 0.000
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 2 0.1088 0.7459 0.000 0.960 0.000 0.016 0.024 0.000
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 6 0.0777 0.7116 0.024 0.000 0.000 0.000 0.004 0.972
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 4 0.0146 0.8442 0.004 0.000 0.000 0.996 0.000 0.000
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 3 0.2414 0.8573 0.056 0.000 0.896 0.000 0.012 0.036
#> D47C7B74-BB01-4614-B683-652F7130729C 2 0.2597 0.6734 0.000 0.824 0.000 0.000 0.176 0.000
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 4 0.1888 0.8363 0.012 0.068 0.000 0.916 0.000 0.004
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 4 0.3893 0.7657 0.080 0.156 0.000 0.764 0.000 0.000
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 4 0.1297 0.8302 0.040 0.000 0.000 0.948 0.000 0.012
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.1408 0.7418 0.000 0.944 0.000 0.036 0.020 0.000
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 4 0.0891 0.8446 0.008 0.024 0.000 0.968 0.000 0.000
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 4 0.1500 0.8391 0.012 0.052 0.000 0.936 0.000 0.000
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 2 0.4293 0.6358 0.200 0.716 0.000 0.000 0.084 0.000
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 5 0.1910 0.9621 0.000 0.108 0.000 0.000 0.892 0.000
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 3 0.6121 0.3133 0.064 0.000 0.528 0.316 0.000 0.092
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 4 0.4461 0.7477 0.076 0.168 0.000 0.736 0.020 0.000
#> 58F11B66-AE40-417E-B465-811C6CF7311C 4 0.0260 0.8428 0.008 0.000 0.000 0.992 0.000 0.000
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 6 0.0865 0.7099 0.036 0.000 0.000 0.000 0.000 0.964
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#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 4 0.0146 0.8439 0.000 0.000 0.000 0.996 0.000 0.004
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 4 0.7154 0.3066 0.088 0.000 0.236 0.480 0.016 0.180
#> 74CF740D-201D-4070-99B9-F007E7C4D472 6 0.3150 0.6689 0.120 0.000 0.000 0.000 0.052 0.828
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 1 0.4010 0.5824 0.764 0.176 0.000 0.000 0.040 0.020
#> 78F28873-E471-497A-9405-FB8955808599 2 0.2907 0.6854 0.020 0.828 0.000 0.000 0.152 0.000
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.0922 0.7478 0.004 0.968 0.000 0.024 0.004 0.000
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.3694 0.6840 0.140 0.784 0.000 0.000 0.076 0.000
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 1 0.5896 -0.0365 0.496 0.400 0.000 0.052 0.020 0.032
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["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 17397 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 0.898 0.924 0.969 0.2620 0.742 0.742
#> 3 3 0.668 0.808 0.912 1.2378 0.620 0.503
#> 4 4 0.522 0.601 0.783 0.1651 0.789 0.544
#> 5 5 0.553 0.580 0.779 0.1024 0.874 0.630
#> 6 6 0.602 0.552 0.762 0.0636 0.836 0.464
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
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 1 0.0000 0.976 1.000 0.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.0000 0.976 1.000 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 1 0.0000 0.976 1.000 0.000
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.0000 0.976 1.000 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.3114 0.919 0.944 0.056
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.0672 0.969 0.992 0.008
#> 966A3A03-3879-4816-A1E9-D805F6018836 1 0.0000 0.976 1.000 0.000
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 2 0.0000 0.904 0.000 1.000
#> 18971368-40F0-42D3-B1A3-707850C53B18 2 0.0000 0.904 0.000 1.000
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 2 0.9580 0.490 0.380 0.620
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 1 0.6048 0.804 0.852 0.148
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 1 0.1184 0.962 0.984 0.016
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 2 0.9129 0.592 0.328 0.672
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 1 0.0000 0.976 1.000 0.000
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 2 0.0000 0.904 0.000 1.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 1 0.0000 0.976 1.000 0.000
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 1 0.3274 0.915 0.940 0.060
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 1 0.9358 0.398 0.648 0.352
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.0000 0.976 1.000 0.000
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 2 0.9044 0.605 0.320 0.680
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 1 0.0376 0.973 0.996 0.004
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 1 0.0000 0.976 1.000 0.000
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 2 0.6438 0.803 0.164 0.836
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 1 0.0000 0.976 1.000 0.000
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 1 0.0000 0.976 1.000 0.000
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 1 0.0000 0.976 1.000 0.000
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.0000 0.976 1.000 0.000
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 1 0.0000 0.976 1.000 0.000
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 2 0.0000 0.904 0.000 1.000
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 1 0.0000 0.976 1.000 0.000
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 1 0.0000 0.976 1.000 0.000
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 1 0.0000 0.976 1.000 0.000
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.0000 0.976 1.000 0.000
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 1 0.0000 0.976 1.000 0.000
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 1 0.0000 0.976 1.000 0.000
#> BE56F908-42DD-4019-A8AC-48884DA788B1 1 0.0000 0.976 1.000 0.000
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 1 0.9286 0.420 0.656 0.344
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 1 0.9710 0.254 0.600 0.400
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 1 0.0000 0.976 1.000 0.000
#> 791D9EB8-42E0-4192-B064-B1126CA14481 1 0.0000 0.976 1.000 0.000
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 1 0.0000 0.976 1.000 0.000
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 1 0.0000 0.976 1.000 0.000
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 2 0.0000 0.904 0.000 1.000
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.0000 0.976 1.000 0.000
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 1 0.0000 0.976 1.000 0.000
#> D47C7B74-BB01-4614-B683-652F7130729C 1 0.0000 0.976 1.000 0.000
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 1 0.9661 0.279 0.608 0.392
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 1 0.0000 0.976 1.000 0.000
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.0000 0.976 1.000 0.000
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 1 0.0000 0.976 1.000 0.000
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.0000 0.976 1.000 0.000
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 1 0.0000 0.976 1.000 0.000
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 1 0.0000 0.976 1.000 0.000
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 1 0.0000 0.976 1.000 0.000
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 1 0.0000 0.976 1.000 0.000
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 1 0.0000 0.976 1.000 0.000
#> 58F11B66-AE40-417E-B465-811C6CF7311C 1 0.0000 0.976 1.000 0.000
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 2 0.9491 0.515 0.368 0.632
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 1 0.0000 0.976 1.000 0.000
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 1 0.0000 0.976 1.000 0.000
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 1 0.2603 0.933 0.956 0.044
#> 739952C6-FF36-4E34-B881-E02FE17C4012 2 0.0000 0.904 0.000 1.000
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 2 0.0000 0.904 0.000 1.000
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 1 0.0000 0.976 1.000 0.000
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 1 0.0000 0.976 1.000 0.000
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 1 0.0000 0.976 1.000 0.000
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 1 0.9710 0.253 0.600 0.400
#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 1 0.0000 0.976 1.000 0.000
#> F6B26185-139B-47A7-91EC-E885D94AC882 1 0.0672 0.969 0.992 0.008
#> 81F30B6F-3E9A-4913-986B-C56D5F107A17 2 0.9922 0.307 0.448 0.552
#> 2CCB3AE1-0D27-4493-B7AE-67C60BBC1C38 1 0.0000 0.976 1.000 0.000
#> 329665BC-B959-47C5-B831-5546F94EDAC1 2 0.0000 0.904 0.000 1.000
#> 8D4335F6-6ACB-4E38-B9F2-A2B5B647AE90 1 0.0000 0.976 1.000 0.000
#> D181D0D8-FD8C-4259-9B34-97224CF27E1B 1 0.0000 0.976 1.000 0.000
#> C0C10950-ABC5-4125-A33E-5AFA2D2574B0 1 0.0000 0.976 1.000 0.000
#> 834D12DB-0925-422C-B15B-20A60A5F658C 1 0.0000 0.976 1.000 0.000
#> 50314689-519F-4B27-884C-7816DD64CF4E 1 0.0000 0.976 1.000 0.000
#> 2502A23E-E168-4A78-9C14-B93FBC9715B1 1 0.0000 0.976 1.000 0.000
#> 3F8D01A3-5449-48A1-BDBA-BFE4D908AE31 1 0.0000 0.976 1.000 0.000
#> 1C47A87B-C033-4705-B903-DB33B8C6EC34 1 0.9608 0.304 0.616 0.384
#> 1329E1C1-743E-4541-9081-165572D4BF47 1 0.0000 0.976 1.000 0.000
#> 1F3F8680-EEB6-4532-B81D-51957D1EA502 2 0.9608 0.480 0.384 0.616
#> 50F69785-8B7A-4933-85B1-8DC539ACC72A 2 0.0000 0.904 0.000 1.000
#> 9095FDD8-EEB2-4B17-85AB-3CDAC0BEC759 1 0.0000 0.976 1.000 0.000
#> B6BF8C22-03E4-44F0-B2EF-2A3DD6ADE7D7 2 0.2043 0.893 0.032 0.968
#> D6A907FC-3A1B-4E3B-A440-1CE9BE9B334B 1 0.0000 0.976 1.000 0.000
#> 02588D5D-89CB-4D0B-9E96-A0270C3FF866 1 0.0000 0.976 1.000 0.000
#> D50BBFC7-7774-4B12-938C-8D5373C12DFC 1 0.0000 0.976 1.000 0.000
#> 6E930060-502B-49F5-A385-9B91DEBD05E4 1 0.0000 0.976 1.000 0.000
#> F6606A8E-ACC6-4826-9547-E0017521724D 1 0.9248 0.430 0.660 0.340
#> 981584D3-10DB-455C-8132-E8E5F44E1222 1 0.9170 0.452 0.668 0.332
#> 47F6E197-7164-4289-95B5-8FD305A13B4C 2 0.0000 0.904 0.000 1.000
#> 4522D871-9379-4643-B15E-9ACB556276C4 1 0.0000 0.976 1.000 0.000
#> 7560B2B5-6AF5-4600-9F0A-BE25CF99B6B9 2 0.9795 0.401 0.416 0.584
#> 38F5957E-0A99-432D-8F0B-B48E03F17668 1 0.7139 0.729 0.804 0.196
#> 7A6BBBE6-2B3B-44EB-A101-C823739AB24F 1 0.0000 0.976 1.000 0.000
#> 0782D25A-3B14-499E-A40C-3852B3A15B8B 1 0.0000 0.976 1.000 0.000
#> 31D4B639-D1E5-479B-AEC2-34F758F2E470 2 0.0000 0.904 0.000 1.000
#> C49078E1-E730-4E81-8EAE-5AAAB9FA1BF5 1 0.0000 0.976 1.000 0.000
#> 48BCD3B8-917F-4E8F-BCEA-1363570A6486 1 0.0000 0.976 1.000 0.000
#> F3BA6259-9F68-47D0-ABDD-1272AE112CAB 1 0.0000 0.976 1.000 0.000
#> 3CA49BB1-30F6-47F3-A751-D5601E16BDBA 1 0.0000 0.976 1.000 0.000
#> 47747595-686A-46B5-9EF4-A4CFB85D746D 1 0.0000 0.976 1.000 0.000
#> 87974EFF-C2DE-4930-93E3-015E6D996440 1 0.0000 0.976 1.000 0.000
#> 7D272E6C-826D-4D02-8383-6A3D5BBF3A5F 1 0.0000 0.976 1.000 0.000
#> 070E540B-34DB-4016-B573-84924407F57F 1 0.0000 0.976 1.000 0.000
#> 63F4281A-4D90-4589-879E-549097FB3459 2 0.3879 0.869 0.076 0.924
#> 93A66EA0-0C74-4342-8140-72ECB01F99A1 1 0.0000 0.976 1.000 0.000
#> C92AD683-FD09-4DD2-A5A5-C72EA5DD9B46 1 0.0000 0.976 1.000 0.000
#> 38D2BE9E-15D4-47BC-8FEB-55310F23825B 1 0.0000 0.976 1.000 0.000
#> B3029936-1EEF-4378-AA28-D5B2A32CDC86 1 0.0000 0.976 1.000 0.000
#> 9A33172F-AEEA-4B7D-9605-0C60D7872CEA 2 0.0000 0.904 0.000 1.000
#> F2BC32E5-4117-468E-B637-9EDB6E9CC6C7 1 0.1184 0.962 0.984 0.016
#> EC319D0D-96C5-49DB-A2C4-BB6BFED6844F 1 0.0000 0.976 1.000 0.000
#> 8CB71499-1B35-417D-95E1-D85CE71A2D8A 1 0.0000 0.976 1.000 0.000
#> C5986AA8-D1C7-47BB-946F-1AE00503A444 1 0.0000 0.976 1.000 0.000
#> CDB44ECD-3F01-4865-B4CC-5190E0FB64DC 1 0.0000 0.976 1.000 0.000
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#> A73A2348-FC50-42A5-ADF0-6647E5ECF0EA 1 0.0000 0.976 1.000 0.000
#> 4BF75CF9-DA61-4A0B-940C-B09C7FE864F0 1 0.0000 0.976 1.000 0.000
#> E3D18696-51D7-4BE3-A32B-3196E5F80438 1 0.9933 0.064 0.548 0.452
#> C4C7C112-555F-46D5-8D5D-411C7737A4C9 1 0.0000 0.976 1.000 0.000
#> 0A3E0A3D-D396-4340-8D98-4B79DBFC312C 1 0.0000 0.976 1.000 0.000
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#> EDDCFDBA-B3E7-4E3F-97CB-D017C9DC9EF7 1 0.0000 0.976 1.000 0.000
#> 7046C2F2-A8DE-4AE1-B27D-094CF2EF3B3D 1 0.0000 0.976 1.000 0.000
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#> EC0B4E94-0FD0-4DBE-8E1A-14DBB0E63772 1 0.0000 0.976 1.000 0.000
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#> 93C284BA-155E-46C5-BF1F-3F98EDF1709C 1 0.5059 0.851 0.888 0.112
#> D630FA02-E6CB-4AD1-BC00-8BCB1BE82365 1 0.0000 0.976 1.000 0.000
#> 81A2D108-72B9-4397-AADE-80FB5DC2354E 1 0.0000 0.976 1.000 0.000
#> 1C3E4F12-F2EA-4A31-888F-FC70D78A9460 1 0.0000 0.976 1.000 0.000
#> 1DD0D00E-72AA-4BCF-9A84-9A302EAD944A 1 0.0000 0.976 1.000 0.000
#> EF184FFA-5DF2-4043-84A0-792C2AC15157 1 0.0000 0.976 1.000 0.000
#> ACA8E16D-0BA5-4267-8483-13E1A077022B 1 0.0000 0.976 1.000 0.000
#> DB4FD772-CAD0-48CE-810C-7BA6C16B7580 1 0.0000 0.976 1.000 0.000
#> 771434CA-23FF-4E0E-9DBA-EE7A127E255A 1 0.0000 0.976 1.000 0.000
#> 4DCEC4AC-4B50-4AA9-AD1B-FFE04C70EBE7 1 0.0000 0.976 1.000 0.000
#> C4CA479C-05D8-4151-B93E-4F410CE04BF6 2 0.0000 0.904 0.000 1.000
#> BD755511-C2CA-45C1-AD55-5BFDB8EA89B6 1 0.2778 0.928 0.952 0.048
#> B6752B47-317E-4C9A-8BAE-E265FFC8E755 1 0.0000 0.976 1.000 0.000
#> D50BAB19-5050-4C27-9F6B-6CB1C865552D 1 0.0000 0.976 1.000 0.000
#> 4664FF20-60E6-4FBD-9760-5F543F725443 1 0.0000 0.976 1.000 0.000
#> 655B32BE-AC22-4E6C-97D2-CC6B7F06B55E 1 0.0000 0.976 1.000 0.000
#> FCE788C2-DBF8-4083-9EA2-10A08B857E9C 1 0.0000 0.976 1.000 0.000
#> C4438C6E-8920-482D-A4A9-84FDB3EDBF21 1 0.0000 0.976 1.000 0.000
#> F4F8D7E7-98B9-4145-9F69-5A1684997C87 1 0.0000 0.976 1.000 0.000
#> 433CED6F-A9DE-444E-9A11-8929A3EFEC9B 1 0.0000 0.976 1.000 0.000
#> C3FDCD45-2013-4BA2-BEAF-5ED6A3393783 1 0.0000 0.976 1.000 0.000
#> 9ECE4E94-28D5-4692-82D4-5B7FA882543C 1 0.0000 0.976 1.000 0.000
#> DC7CE58E-0EA8-4DDD-8AC4-DC5D5E8E7E3B 1 0.0000 0.976 1.000 0.000
#> 67A7E9D8-C2A0-4B52-95BD-BDB781E7A9D5 1 0.0000 0.976 1.000 0.000
#> 21FB1823-0E28-4F50-8546-D0F0847B1733 1 0.0000 0.976 1.000 0.000
#> 93618EAD-7723-4616-BBB2-2D65E45EE3D2 1 0.0000 0.976 1.000 0.000
#> 4864A82F-B571-4665-82FA-9BBEF2141C99 1 0.0000 0.976 1.000 0.000
#> A34C537D-632D-4992-958D-5B85D190382C 1 0.0000 0.976 1.000 0.000
#> 1ACE6BB9-A332-42DD-BA4F-E9902DB413AA 1 0.0000 0.976 1.000 0.000
#> E3C1D3D8-1C78-4C16-B0E5-56B5CCE3C6B4 1 0.0000 0.976 1.000 0.000
#> 1B0FE71F-DD59-45F7-BA73-E8BEEB7349A8 1 0.9661 0.281 0.608 0.392
#> 8756589A-8352-4CDA-9297-D4C146D1DF47 1 0.0000 0.976 1.000 0.000
#> E013D176-4FCB-4DF5-93F0-72803590B677 1 0.0000 0.976 1.000 0.000
#> D0CCA6E0-8557-491C-AB82-289DF53E57FA 1 0.0000 0.976 1.000 0.000
#> 933DB910-2728-4DC4-840E-B0CD1F13A421 1 0.0000 0.976 1.000 0.000
#> 93910528-D681-4C69-86FD-326293B2F1C1 1 0.0000 0.976 1.000 0.000
#> 3C9FDA2A-01C8-4F17-BBF1-5CAEAE3764D4 1 0.0000 0.976 1.000 0.000
#> 8879C57E-8876-462F-810E-EE07C2F541AD 1 0.0000 0.976 1.000 0.000
#> 130C8FBD-8D78-4212-8DD6-301EDFA339A9 1 0.0000 0.976 1.000 0.000
#> 6C1FF3E9-0A8B-4B02-B0E9-EEF333E53592 2 0.9881 0.347 0.436 0.564
#> 726497B7-C557-4D5C-A926-6DDA6136C899 2 0.0376 0.903 0.004 0.996
#> 2299CD19-BF08-404C-B1BF-B570F12CCEF8 1 0.0000 0.976 1.000 0.000
#> E8BCBDC5-E34E-422F-86C2-A4B30400EC86 1 0.0000 0.976 1.000 0.000
#> B9EF0525-8B4A-4306-B06B-35AC457F5F48 1 0.0000 0.976 1.000 0.000
#> F663E106-4E34-46C8-9CD9-AE5E9B8B27F0 2 0.9491 0.516 0.368 0.632
#> 94E26CD5-238B-4D8C-B8E8-A62C44EB2B41 1 0.0000 0.976 1.000 0.000
#> 135743C3-829E-46DC-BBA9-FF07C8067612 1 0.0000 0.976 1.000 0.000
#> CBD7775A-2802-4EB7-9F62-6B80D7667AED 1 0.0000 0.976 1.000 0.000
#> BD6DAD3D-2D5F-4560-9A4C-70D8A1D49732 1 0.0000 0.976 1.000 0.000
#> ED86F92E-6B39-4C0C-9A60-870984F53C4D 1 0.0000 0.976 1.000 0.000
#> CD3B289F-FAE1-405F-875F-23C1D2609DFC 1 0.0000 0.976 1.000 0.000
#> D1C0E70B-B2BB-4FE7-8DEC-B50659739BAA 2 0.0672 0.902 0.008 0.992
#> D2417A9C-CBF0-47F6-B20C-FB32AF632A84 2 0.0000 0.904 0.000 1.000
#> EF5618C6-6AFB-4FB5-A32B-7946F18E9736 1 0.0000 0.976 1.000 0.000
#> 36040CAB-FF77-4540-BB44-7961A6A54B29 1 0.0000 0.976 1.000 0.000
#> 3808C3A9-22DA-4DC5-9F51-884A7EF574E6 1 0.0000 0.976 1.000 0.000
#> 24363857-9A33-40D4-8409-C17225570833 1 0.0000 0.976 1.000 0.000
#> A57E6132-9B76-493A-A167-8462263B7CDB 1 0.6531 0.773 0.832 0.168
#> 4C020890-E652-4DE4-B66D-5F6F71405F64 1 0.0000 0.976 1.000 0.000
#> 90C991CD-412E-4318-96E3-EB84B868FE9F 1 0.0000 0.976 1.000 0.000
#> FA8E73EA-649C-43ED-854E-B9472820D1C6 1 0.0000 0.976 1.000 0.000
#> 4D46B5DE-186A-4D35-8E1B-64701C13BC69 1 0.0000 0.976 1.000 0.000
#> D516A82D-2F77-46B2-90F7-30BA5C78AAC8 1 0.0000 0.976 1.000 0.000
#> 1FBD0805-13AE-4A82-8B94-640E1C921262 1 0.0672 0.969 0.992 0.008
#> 264525A9-F7DB-4012-A93B-CF8A7626F125 1 0.0000 0.976 1.000 0.000
#> AFF029D8-FFC9-4AA9-8049-F1E27C743F6F 1 0.0000 0.976 1.000 0.000
#> 5B65768D-0E81-4469-9D69-69B07ED5ACD5 2 0.0000 0.904 0.000 1.000
#> 2CB06CA6-8D1F-4BC7-99BE-66921805B8FD 1 0.0000 0.976 1.000 0.000
#> 956357FB-9AB3-497C-BB55-9D15B486A422 1 0.0376 0.973 0.996 0.004
#> C8F2BAD0-7124-46BF-975C-4B44BE980F93 2 0.7602 0.745 0.220 0.780
#> E96AE267-3E23-4EA9-93E2-D92558155A17 1 0.0000 0.976 1.000 0.000
#> 1C8DCA5B-965B-485A-83B6-5CBEB2117E47 1 0.0000 0.976 1.000 0.000
#> DEAB79F5-336A-49B4-8046-AEE2F567FE46 1 0.0672 0.969 0.992 0.008
#> 767FE89E-E19F-4F56-A744-CB3C5CCC085B 1 0.0000 0.976 1.000 0.000
#> 7B0BF632-79E5-46B5-AAC8-4A6D5A193449 1 0.0000 0.976 1.000 0.000
#> 9A281EDE-FF96-4E66-AEF4-692BDFA8E99D 1 0.9896 0.109 0.560 0.440
#> B8C2D019-00C9-4E1E-8383-4FE2FFB4D2D7 1 0.0000 0.976 1.000 0.000
#> 39A9B95F-186B-4550-9271-001151B1A626 1 0.0000 0.976 1.000 0.000
#> CAD6E491-88FB-4221-90E9-AC9C68AECCB0 1 0.0000 0.976 1.000 0.000
#> 15EFBC5B-C713-4718-BB6F-0EBBE4D6997F 1 0.0000 0.976 1.000 0.000
#> BBA00038-09B1-461D-9F8E-484890B0D130 1 0.0000 0.976 1.000 0.000
#> 16EBB885-A692-42A6-9027-F6AD769E0ABB 1 0.0000 0.976 1.000 0.000
#> 2D57E24B-97A6-4B85-BC8F-3E02DDC6C460 1 0.0000 0.976 1.000 0.000
#> C6E39F86-9DEF-4BCA-930B-2A3993D18901 1 0.0000 0.976 1.000 0.000
#> 5BE4D8E9-DA18-426F-8AE6-075B15010390 2 0.1633 0.896 0.024 0.976
#> 8E9CAAC7-31D3-473C-821C-2DAD37B44D3A 1 0.0000 0.976 1.000 0.000
#> 368CFCA3-7BAB-4D6D-9AE1-55713A9965C1 1 0.0000 0.976 1.000 0.000
#> 14DB79EF-DE2B-4197-AD32-F657E0655FCD 1 0.4431 0.877 0.908 0.092
#> E73BCFCB-C5FE-4BF2-A236-B9E69711C121 1 0.0000 0.976 1.000 0.000
#> CDAFAFEA-365B-4F25-AEC0-639B6E0CB626 1 0.0000 0.976 1.000 0.000
#> 48A2AAEB-7F60-4284-808E-2058A531B17C 1 0.0000 0.976 1.000 0.000
#> D4276C6F-9F0F-4F74-A85E-1E54272ADDED 1 0.0000 0.976 1.000 0.000
#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 1 0.0000 0.976 1.000 0.000
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 1 0.0000 0.976 1.000 0.000
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 1 0.0000 0.976 1.000 0.000
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 2 0.2948 0.882 0.052 0.948
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 1 0.0000 0.976 1.000 0.000
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 2 0.0000 0.904 0.000 1.000
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 1 0.0000 0.976 1.000 0.000
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 1 0.0000 0.976 1.000 0.000
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 1 0.7219 0.722 0.800 0.200
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 1 0.0000 0.976 1.000 0.000
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 1 0.8955 0.500 0.688 0.312
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 1 0.0000 0.976 1.000 0.000
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 1 0.0000 0.976 1.000 0.000
#> C7997523-47CF-40F0-8803-AB873E38033C 2 0.2043 0.893 0.032 0.968
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 1 0.0000 0.976 1.000 0.000
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 1 0.0000 0.976 1.000 0.000
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 1 0.0000 0.976 1.000 0.000
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 1 0.7453 0.703 0.788 0.212
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 2 0.6531 0.801 0.168 0.832
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 1 0.0000 0.976 1.000 0.000
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 1 0.0000 0.976 1.000 0.000
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 1 0.6048 0.802 0.852 0.148
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 1 0.0000 0.976 1.000 0.000
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.0000 0.976 1.000 0.000
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 1 0.0000 0.976 1.000 0.000
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 1 0.4022 0.892 0.920 0.080
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 1 0.0000 0.976 1.000 0.000
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 1 0.0000 0.976 1.000 0.000
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 1 0.0000 0.976 1.000 0.000
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 1 0.0000 0.976 1.000 0.000
#> 1DEA6525-5598-4985-9218-D61912C75437 2 0.5519 0.833 0.128 0.872
#> E15EAAB4-0860-4716-9922-667F604CDF12 1 0.0000 0.976 1.000 0.000
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 1 0.0000 0.976 1.000 0.000
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 1 0.0000 0.976 1.000 0.000
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 1 0.0000 0.976 1.000 0.000
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.0000 0.976 1.000 0.000
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 1 0.0000 0.976 1.000 0.000
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 1 0.0000 0.976 1.000 0.000
#> E2A4C651-977F-4F40-B5EC-46DF75944141 2 0.0000 0.904 0.000 1.000
#> 433599CC-9DF5-4494-A607-8079FFE74D95 1 0.0000 0.976 1.000 0.000
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 1 0.0000 0.976 1.000 0.000
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 1 0.0000 0.976 1.000 0.000
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.0000 0.976 1.000 0.000
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 1 0.0000 0.976 1.000 0.000
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 2 0.0000 0.904 0.000 1.000
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 1 0.0000 0.976 1.000 0.000
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 1 0.0000 0.976 1.000 0.000
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 1 0.0000 0.976 1.000 0.000
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 1 0.0000 0.976 1.000 0.000
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 1 0.8661 0.554 0.712 0.288
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 1 0.0000 0.976 1.000 0.000
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 2 0.1633 0.897 0.024 0.976
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 1 0.0000 0.976 1.000 0.000
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.0000 0.976 1.000 0.000
#> 057B580C-13FD-4185-943C-9DD5266B8554 1 0.0000 0.976 1.000 0.000
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 1 0.0000 0.976 1.000 0.000
#> 287F3696-25CF-4E67-A934-E50856AD4790 1 0.0000 0.976 1.000 0.000
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 1 0.0000 0.976 1.000 0.000
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 1 0.0000 0.976 1.000 0.000
#> B80A74AB-A264-4396-93F8-FD976DBC1456 1 0.0000 0.976 1.000 0.000
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 1 0.0000 0.976 1.000 0.000
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.0000 0.976 1.000 0.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.0000 0.976 1.000 0.000
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 1 0.0000 0.976 1.000 0.000
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 1 0.0000 0.976 1.000 0.000
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.9323 0.556 0.348 0.652
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 2 0.1414 0.898 0.020 0.980
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 1 0.0000 0.976 1.000 0.000
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 1 0.0000 0.976 1.000 0.000
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.0672 0.969 0.992 0.008
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 1 0.1414 0.957 0.980 0.020
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 1 0.0000 0.976 1.000 0.000
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 1 0.0000 0.976 1.000 0.000
#> DD292494-92A2-43CB-B59B-726B2F429B29 1 0.0000 0.976 1.000 0.000
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 2 0.9896 0.332 0.440 0.560
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 1 0.0000 0.976 1.000 0.000
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 1 0.0000 0.976 1.000 0.000
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 2 0.0000 0.904 0.000 1.000
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 1 0.0000 0.976 1.000 0.000
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.0000 0.976 1.000 0.000
#> 74CF740D-201D-4070-99B9-F007E7C4D472 2 0.0000 0.904 0.000 1.000
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 1 0.9552 0.330 0.624 0.376
#> 78F28873-E471-497A-9405-FB8955808599 1 0.0000 0.976 1.000 0.000
#> 29294D9A-434B-4581-9591-63D16107C7B1 1 0.0000 0.976 1.000 0.000
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 1 0.0000 0.976 1.000 0.000
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 2 0.9732 0.433 0.404 0.596
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 1 0.1643 0.8877 0.956 0.044 0.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.0000 0.9010 1.000 0.000 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 1 0.5327 0.6716 0.728 0.272 0.000
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.1163 0.9034 0.972 0.028 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 2 0.5319 0.7656 0.072 0.824 0.104
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.0000 0.9010 1.000 0.000 0.000
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.0000 0.8853 0.000 1.000 0.000
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#> 93910528-D681-4C69-86FD-326293B2F1C1 2 0.1877 0.8716 0.032 0.956 0.012
#> 3C9FDA2A-01C8-4F17-BBF1-5CAEAE3764D4 1 0.0892 0.9039 0.980 0.020 0.000
#> 8879C57E-8876-462F-810E-EE07C2F541AD 2 0.0000 0.8853 0.000 1.000 0.000
#> 130C8FBD-8D78-4212-8DD6-301EDFA339A9 1 0.1031 0.9037 0.976 0.024 0.000
#> 6C1FF3E9-0A8B-4B02-B0E9-EEF333E53592 2 0.2165 0.8498 0.000 0.936 0.064
#> 726497B7-C557-4D5C-A926-6DDA6136C899 2 0.6215 0.1755 0.000 0.572 0.428
#> 2299CD19-BF08-404C-B1BF-B570F12CCEF8 1 0.5138 0.7057 0.748 0.252 0.000
#> E8BCBDC5-E34E-422F-86C2-A4B30400EC86 1 0.1529 0.8895 0.960 0.040 0.000
#> B9EF0525-8B4A-4306-B06B-35AC457F5F48 2 0.4702 0.7114 0.212 0.788 0.000
#> F663E106-4E34-46C8-9CD9-AE5E9B8B27F0 2 0.1860 0.8591 0.000 0.948 0.052
#> 94E26CD5-238B-4D8C-B8E8-A62C44EB2B41 2 0.0000 0.8853 0.000 1.000 0.000
#> 135743C3-829E-46DC-BBA9-FF07C8067612 1 0.1163 0.9030 0.972 0.028 0.000
#> CBD7775A-2802-4EB7-9F62-6B80D7667AED 1 0.1031 0.9037 0.976 0.024 0.000
#> BD6DAD3D-2D5F-4560-9A4C-70D8A1D49732 1 0.0000 0.9010 1.000 0.000 0.000
#> ED86F92E-6B39-4C0C-9A60-870984F53C4D 1 0.0592 0.9000 0.988 0.000 0.012
#> CD3B289F-FAE1-405F-875F-23C1D2609DFC 2 0.1643 0.8692 0.044 0.956 0.000
#> D1C0E70B-B2BB-4FE7-8DEC-B50659739BAA 2 0.3192 0.8000 0.000 0.888 0.112
#> D2417A9C-CBF0-47F6-B20C-FB32AF632A84 3 0.0000 0.8776 0.000 0.000 1.000
#> EF5618C6-6AFB-4FB5-A32B-7946F18E9736 1 0.1031 0.9037 0.976 0.024 0.000
#> 36040CAB-FF77-4540-BB44-7961A6A54B29 2 0.0000 0.8853 0.000 1.000 0.000
#> 3808C3A9-22DA-4DC5-9F51-884A7EF574E6 1 0.1031 0.9037 0.976 0.024 0.000
#> 24363857-9A33-40D4-8409-C17225570833 2 0.0747 0.8820 0.016 0.984 0.000
#> A57E6132-9B76-493A-A167-8462263B7CDB 2 0.5743 0.7341 0.172 0.784 0.044
#> 4C020890-E652-4DE4-B66D-5F6F71405F64 1 0.3038 0.8625 0.896 0.104 0.000
#> 90C991CD-412E-4318-96E3-EB84B868FE9F 2 0.0000 0.8853 0.000 1.000 0.000
#> FA8E73EA-649C-43ED-854E-B9472820D1C6 2 0.1529 0.8713 0.040 0.960 0.000
#> 4D46B5DE-186A-4D35-8E1B-64701C13BC69 2 0.0000 0.8853 0.000 1.000 0.000
#> D516A82D-2F77-46B2-90F7-30BA5C78AAC8 2 0.0000 0.8853 0.000 1.000 0.000
#> 1FBD0805-13AE-4A82-8B94-640E1C921262 1 0.1529 0.8895 0.960 0.040 0.000
#> 264525A9-F7DB-4012-A93B-CF8A7626F125 2 0.5560 0.5652 0.300 0.700 0.000
#> AFF029D8-FFC9-4AA9-8049-F1E27C743F6F 1 0.3267 0.8537 0.884 0.116 0.000
#> 5B65768D-0E81-4469-9D69-69B07ED5ACD5 3 0.0000 0.8776 0.000 0.000 1.000
#> 2CB06CA6-8D1F-4BC7-99BE-66921805B8FD 1 0.5497 0.6695 0.708 0.292 0.000
#> 956357FB-9AB3-497C-BB55-9D15B486A422 1 0.3910 0.8410 0.876 0.020 0.104
#> C8F2BAD0-7124-46BF-975C-4B44BE980F93 3 0.6111 0.3702 0.000 0.396 0.604
#> E96AE267-3E23-4EA9-93E2-D92558155A17 1 0.1529 0.8895 0.960 0.040 0.000
#> 1C8DCA5B-965B-485A-83B6-5CBEB2117E47 1 0.3412 0.8467 0.876 0.124 0.000
#> DEAB79F5-336A-49B4-8046-AEE2F567FE46 1 0.0000 0.9010 1.000 0.000 0.000
#> 767FE89E-E19F-4F56-A744-CB3C5CCC085B 1 0.2625 0.8768 0.916 0.084 0.000
#> 7B0BF632-79E5-46B5-AAC8-4A6D5A193449 2 0.1031 0.8731 0.024 0.976 0.000
#> 9A281EDE-FF96-4E66-AEF4-692BDFA8E99D 2 0.1031 0.8763 0.000 0.976 0.024
#> B8C2D019-00C9-4E1E-8383-4FE2FFB4D2D7 1 0.1529 0.8895 0.960 0.040 0.000
#> 39A9B95F-186B-4550-9271-001151B1A626 1 0.6126 0.4341 0.600 0.400 0.000
#> CAD6E491-88FB-4221-90E9-AC9C68AECCB0 1 0.2066 0.8908 0.940 0.060 0.000
#> 15EFBC5B-C713-4718-BB6F-0EBBE4D6997F 1 0.2066 0.8917 0.940 0.060 0.000
#> BBA00038-09B1-461D-9F8E-484890B0D130 1 0.2165 0.8891 0.936 0.064 0.000
#> 16EBB885-A692-42A6-9027-F6AD769E0ABB 1 0.0892 0.9039 0.980 0.020 0.000
#> 2D57E24B-97A6-4B85-BC8F-3E02DDC6C460 2 0.6260 0.1077 0.448 0.552 0.000
#> C6E39F86-9DEF-4BCA-930B-2A3993D18901 2 0.0000 0.8853 0.000 1.000 0.000
#> 5BE4D8E9-DA18-426F-8AE6-075B15010390 3 0.4796 0.7010 0.220 0.000 0.780
#> 8E9CAAC7-31D3-473C-821C-2DAD37B44D3A 2 0.0000 0.8853 0.000 1.000 0.000
#> 368CFCA3-7BAB-4D6D-9AE1-55713A9965C1 1 0.0000 0.9010 1.000 0.000 0.000
#> 14DB79EF-DE2B-4197-AD32-F657E0655FCD 2 0.1643 0.8646 0.000 0.956 0.044
#> E73BCFCB-C5FE-4BF2-A236-B9E69711C121 1 0.1031 0.9037 0.976 0.024 0.000
#> CDAFAFEA-365B-4F25-AEC0-639B6E0CB626 2 0.2537 0.8491 0.080 0.920 0.000
#> 48A2AAEB-7F60-4284-808E-2058A531B17C 2 0.0000 0.8853 0.000 1.000 0.000
#> D4276C6F-9F0F-4F74-A85E-1E54272ADDED 1 0.4002 0.8271 0.840 0.160 0.000
#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 2 0.6307 -0.0343 0.488 0.512 0.000
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 1 0.5291 0.6805 0.732 0.268 0.000
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 1 0.2537 0.8746 0.920 0.080 0.000
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 3 0.6008 0.4224 0.372 0.000 0.628
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 1 0.1529 0.8895 0.960 0.040 0.000
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 3 0.0000 0.8776 0.000 0.000 1.000
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 1 0.0000 0.9010 1.000 0.000 0.000
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 1 0.4796 0.7509 0.780 0.220 0.000
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 1 0.1289 0.8878 0.968 0.000 0.032
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 2 0.6154 0.2779 0.408 0.592 0.000
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 2 0.0000 0.8853 0.000 1.000 0.000
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 1 0.3340 0.8497 0.880 0.120 0.000
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 2 0.0000 0.8853 0.000 1.000 0.000
#> C7997523-47CF-40F0-8803-AB873E38033C 3 0.0000 0.8776 0.000 0.000 1.000
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 1 0.3686 0.8443 0.860 0.140 0.000
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 2 0.0000 0.8853 0.000 1.000 0.000
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 1 0.0000 0.9010 1.000 0.000 0.000
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 1 0.2959 0.8464 0.900 0.000 0.100
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 2 0.1643 0.8598 0.000 0.956 0.044
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 2 0.6204 0.2569 0.424 0.576 0.000
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 1 0.1529 0.8895 0.960 0.040 0.000
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 2 0.1643 0.8646 0.000 0.956 0.044
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 1 0.0000 0.9010 1.000 0.000 0.000
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.0000 0.9010 1.000 0.000 0.000
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 1 0.1860 0.8953 0.948 0.052 0.000
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 1 0.0237 0.9002 0.996 0.000 0.004
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 1 0.3482 0.8441 0.872 0.128 0.000
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 1 0.0592 0.9027 0.988 0.012 0.000
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 2 0.2165 0.8505 0.064 0.936 0.000
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 2 0.3879 0.7800 0.152 0.848 0.000
#> 1DEA6525-5598-4985-9218-D61912C75437 3 0.5859 0.4861 0.344 0.000 0.656
#> E15EAAB4-0860-4716-9922-667F604CDF12 1 0.0892 0.9039 0.980 0.020 0.000
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 2 0.0237 0.8847 0.004 0.996 0.000
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 1 0.1031 0.9037 0.976 0.024 0.000
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 1 0.0000 0.9010 1.000 0.000 0.000
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.0424 0.9028 0.992 0.008 0.000
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 2 0.2625 0.8325 0.084 0.916 0.000
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 2 0.0000 0.8853 0.000 1.000 0.000
#> E2A4C651-977F-4F40-B5EC-46DF75944141 3 0.0000 0.8776 0.000 0.000 1.000
#> 433599CC-9DF5-4494-A607-8079FFE74D95 1 0.4702 0.7781 0.788 0.212 0.000
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 1 0.5882 0.5555 0.652 0.348 0.000
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 2 0.3340 0.8096 0.120 0.880 0.000
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.0892 0.9039 0.980 0.020 0.000
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 1 0.1031 0.9037 0.976 0.024 0.000
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 3 0.0000 0.8776 0.000 0.000 1.000
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 1 0.1643 0.8877 0.956 0.044 0.000
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 2 0.0000 0.8853 0.000 1.000 0.000
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 2 0.0000 0.8853 0.000 1.000 0.000
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.3752 0.7795 0.144 0.856 0.000
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 2 0.1753 0.8622 0.000 0.952 0.048
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.0000 0.8853 0.000 1.000 0.000
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 3 0.5706 0.5448 0.320 0.000 0.680
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 2 0.0000 0.8853 0.000 1.000 0.000
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.0000 0.9010 1.000 0.000 0.000
#> 057B580C-13FD-4185-943C-9DD5266B8554 1 0.0000 0.9010 1.000 0.000 0.000
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 1 0.0000 0.9010 1.000 0.000 0.000
#> 287F3696-25CF-4E67-A934-E50856AD4790 1 0.5178 0.7108 0.744 0.256 0.000
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 1 0.2537 0.8798 0.920 0.080 0.000
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 1 0.1753 0.8859 0.952 0.000 0.048
#> B80A74AB-A264-4396-93F8-FD976DBC1456 2 0.0000 0.8853 0.000 1.000 0.000
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.0592 0.8832 0.012 0.988 0.000
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.0892 0.9039 0.980 0.020 0.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.0747 0.9038 0.984 0.016 0.000
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 1 0.0000 0.9010 1.000 0.000 0.000
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 2 0.0000 0.8853 0.000 1.000 0.000
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.1964 0.8560 0.000 0.944 0.056
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 3 0.4702 0.7105 0.212 0.000 0.788
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 1 0.3340 0.8499 0.880 0.120 0.000
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.0424 0.8838 0.008 0.992 0.000
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.0000 0.9010 1.000 0.000 0.000
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.0592 0.8816 0.000 0.988 0.012
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 2 0.4178 0.7378 0.172 0.828 0.000
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 1 0.6204 0.3151 0.576 0.424 0.000
#> DD292494-92A2-43CB-B59B-726B2F429B29 1 0.4504 0.7776 0.804 0.196 0.000
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 3 0.6286 0.1398 0.464 0.000 0.536
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 1 0.6302 0.1082 0.520 0.480 0.000
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 1 0.0000 0.9010 1.000 0.000 0.000
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 3 0.0000 0.8776 0.000 0.000 1.000
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 1 0.0000 0.9010 1.000 0.000 0.000
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 1 0.0000 0.9010 1.000 0.000 0.000
#> 74CF740D-201D-4070-99B9-F007E7C4D472 3 0.0000 0.8776 0.000 0.000 1.000
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 2 0.0000 0.8853 0.000 1.000 0.000
#> 78F28873-E471-497A-9405-FB8955808599 2 0.0000 0.8853 0.000 1.000 0.000
#> 29294D9A-434B-4581-9591-63D16107C7B1 1 0.6154 0.4171 0.592 0.408 0.000
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.0000 0.8853 0.000 1.000 0.000
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 2 0.1753 0.8619 0.000 0.952 0.048
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.4730 0.65890 0.364 0.000 0.636 0.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.1022 0.75349 0.968 0.000 0.032 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 1 0.4699 0.46546 0.676 0.320 0.004 0.000
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.3751 0.70065 0.800 0.004 0.196 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.5574 0.33242 0.604 0.372 0.020 0.004
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.1743 0.74376 0.940 0.000 0.056 0.004
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.0657 0.77485 0.004 0.984 0.012 0.000
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 4 0.1004 0.80358 0.000 0.004 0.024 0.972
#> 18971368-40F0-42D3-B1A3-707850C53B18 4 0.0188 0.80774 0.000 0.000 0.004 0.996
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 2 0.1182 0.77033 0.000 0.968 0.016 0.016
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 1 0.3009 0.70723 0.892 0.000 0.056 0.052
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 2 0.0524 0.77385 0.000 0.988 0.008 0.004
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 4 0.5784 0.33563 0.412 0.000 0.032 0.556
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 1 0.5174 0.34450 0.620 0.368 0.012 0.000
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 4 0.0188 0.80774 0.000 0.000 0.004 0.996
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 3 0.2813 0.46482 0.024 0.080 0.896 0.000
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 2 0.0336 0.77529 0.000 0.992 0.008 0.000
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 2 0.7057 0.24910 0.400 0.508 0.020 0.072
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.0817 0.76829 0.976 0.000 0.024 0.000
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.4964 0.48269 0.724 0.000 0.032 0.244
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 2 0.0336 0.77540 0.000 0.992 0.008 0.000
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 2 0.1792 0.74080 0.000 0.932 0.068 0.000
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 4 0.5981 0.50843 0.036 0.268 0.024 0.672
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 1 0.4866 -0.14230 0.596 0.000 0.404 0.000
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 1 0.5384 0.58675 0.648 0.028 0.324 0.000
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 1 0.5569 0.65292 0.724 0.104 0.172 0.000
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#> E3C1D3D8-1C78-4C16-B0E5-56B5CCE3C6B4 1 0.0707 0.76778 0.980 0.000 0.020 0.000
#> 1B0FE71F-DD59-45F7-BA73-E8BEEB7349A8 4 0.7187 0.14174 0.424 0.000 0.136 0.440
#> 8756589A-8352-4CDA-9297-D4C146D1DF47 1 0.1398 0.76665 0.956 0.004 0.040 0.000
#> E013D176-4FCB-4DF5-93F0-72803590B677 3 0.4730 0.65890 0.364 0.000 0.636 0.000
#> D0CCA6E0-8557-491C-AB82-289DF53E57FA 1 0.5440 0.31436 0.596 0.384 0.020 0.000
#> 933DB910-2728-4DC4-840E-B0CD1F13A421 3 0.4679 0.65708 0.352 0.000 0.648 0.000
#> 93910528-D681-4C69-86FD-326293B2F1C1 2 0.3900 0.68891 0.164 0.816 0.020 0.000
#> 3C9FDA2A-01C8-4F17-BBF1-5CAEAE3764D4 1 0.1635 0.75628 0.948 0.008 0.044 0.000
#> 8879C57E-8876-462F-810E-EE07C2F541AD 2 0.0921 0.77156 0.000 0.972 0.028 0.000
#> 130C8FBD-8D78-4212-8DD6-301EDFA339A9 1 0.4343 0.65267 0.732 0.004 0.264 0.000
#> 6C1FF3E9-0A8B-4B02-B0E9-EEF333E53592 2 0.7864 0.26883 0.044 0.504 0.344 0.108
#> 726497B7-C557-4D5C-A926-6DDA6136C899 2 0.5292 0.03333 0.000 0.512 0.008 0.480
#> 2299CD19-BF08-404C-B1BF-B570F12CCEF8 1 0.5530 0.57188 0.632 0.032 0.336 0.000
#> E8BCBDC5-E34E-422F-86C2-A4B30400EC86 3 0.4746 0.64660 0.368 0.000 0.632 0.000
#> B9EF0525-8B4A-4306-B06B-35AC457F5F48 1 0.5685 0.04821 0.516 0.460 0.024 0.000
#> F663E106-4E34-46C8-9CD9-AE5E9B8B27F0 2 0.0927 0.77197 0.000 0.976 0.016 0.008
#> 94E26CD5-238B-4D8C-B8E8-A62C44EB2B41 2 0.0188 0.77472 0.000 0.996 0.004 0.000
#> 135743C3-829E-46DC-BBA9-FF07C8067612 1 0.1398 0.76686 0.956 0.004 0.040 0.000
#> CBD7775A-2802-4EB7-9F62-6B80D7667AED 1 0.1824 0.76361 0.936 0.004 0.060 0.000
#> BD6DAD3D-2D5F-4560-9A4C-70D8A1D49732 1 0.0469 0.76201 0.988 0.000 0.012 0.000
#> ED86F92E-6B39-4C0C-9A60-870984F53C4D 1 0.0817 0.76866 0.976 0.000 0.024 0.000
#> CD3B289F-FAE1-405F-875F-23C1D2609DFC 1 0.5285 0.06643 0.524 0.468 0.008 0.000
#> D1C0E70B-B2BB-4FE7-8DEC-B50659739BAA 2 0.3108 0.70715 0.000 0.872 0.016 0.112
#> D2417A9C-CBF0-47F6-B20C-FB32AF632A84 4 0.3444 0.73253 0.000 0.000 0.184 0.816
#> EF5618C6-6AFB-4FB5-A32B-7946F18E9736 1 0.0376 0.76437 0.992 0.004 0.004 0.000
#> 36040CAB-FF77-4540-BB44-7961A6A54B29 2 0.0927 0.77533 0.008 0.976 0.016 0.000
#> 3808C3A9-22DA-4DC5-9F51-884A7EF574E6 1 0.1854 0.75577 0.940 0.012 0.048 0.000
#> 24363857-9A33-40D4-8409-C17225570833 2 0.2125 0.75373 0.076 0.920 0.004 0.000
#> A57E6132-9B76-493A-A167-8462263B7CDB 1 0.6463 0.53147 0.584 0.056 0.348 0.012
#> 4C020890-E652-4DE4-B66D-5F6F71405F64 1 0.1452 0.75824 0.956 0.008 0.036 0.000
#> 90C991CD-412E-4318-96E3-EB84B868FE9F 2 0.0707 0.77281 0.000 0.980 0.020 0.000
#> FA8E73EA-649C-43ED-854E-B9472820D1C6 2 0.4011 0.65340 0.208 0.784 0.008 0.000
#> 4D46B5DE-186A-4D35-8E1B-64701C13BC69 3 0.4888 0.30372 0.000 0.412 0.588 0.000
#> D516A82D-2F77-46B2-90F7-30BA5C78AAC8 2 0.0469 0.77346 0.000 0.988 0.012 0.000
#> 1FBD0805-13AE-4A82-8B94-640E1C921262 3 0.4889 0.64957 0.360 0.000 0.636 0.004
#> 264525A9-F7DB-4012-A93B-CF8A7626F125 3 0.5614 0.41560 0.036 0.336 0.628 0.000
#> AFF029D8-FFC9-4AA9-8049-F1E27C743F6F 1 0.5149 0.58447 0.648 0.016 0.336 0.000
#> 5B65768D-0E81-4469-9D69-69B07ED5ACD5 4 0.0188 0.80774 0.000 0.000 0.004 0.996
#> 2CB06CA6-8D1F-4BC7-99BE-66921805B8FD 1 0.8069 -0.41587 0.356 0.332 0.308 0.004
#> 956357FB-9AB3-497C-BB55-9D15B486A422 1 0.1489 0.75500 0.952 0.000 0.044 0.004
#> C8F2BAD0-7124-46BF-975C-4B44BE980F93 4 0.6399 0.26117 0.032 0.372 0.024 0.572
#> E96AE267-3E23-4EA9-93E2-D92558155A17 3 0.4730 0.65775 0.364 0.000 0.636 0.000
#> 1C8DCA5B-965B-485A-83B6-5CBEB2117E47 1 0.4891 0.61334 0.680 0.012 0.308 0.000
#> DEAB79F5-336A-49B4-8046-AEE2F567FE46 1 0.3142 0.65956 0.860 0.000 0.132 0.008
#> 767FE89E-E19F-4F56-A744-CB3C5CCC085B 1 0.4360 0.66319 0.744 0.008 0.248 0.000
#> 7B0BF632-79E5-46B5-AAC8-4A6D5A193449 3 0.4936 0.35321 0.004 0.372 0.624 0.000
#> 9A281EDE-FF96-4E66-AEF4-692BDFA8E99D 2 0.0657 0.77349 0.000 0.984 0.012 0.004
#> B8C2D019-00C9-4E1E-8383-4FE2FFB4D2D7 3 0.4730 0.65890 0.364 0.000 0.636 0.000
#> 39A9B95F-186B-4550-9271-001151B1A626 2 0.5282 0.55745 0.276 0.688 0.036 0.000
#> CAD6E491-88FB-4221-90E9-AC9C68AECCB0 1 0.4353 0.67540 0.756 0.012 0.232 0.000
#> 15EFBC5B-C713-4718-BB6F-0EBBE4D6997F 1 0.4800 0.58911 0.656 0.004 0.340 0.000
#> BBA00038-09B1-461D-9F8E-484890B0D130 1 0.1970 0.76337 0.932 0.008 0.060 0.000
#> 16EBB885-A692-42A6-9027-F6AD769E0ABB 1 0.1635 0.75449 0.948 0.008 0.044 0.000
#> 2D57E24B-97A6-4B85-BC8F-3E02DDC6C460 3 0.5731 0.25830 0.028 0.428 0.544 0.000
#> C6E39F86-9DEF-4BCA-930B-2A3993D18901 2 0.0524 0.77421 0.000 0.988 0.008 0.004
#> 5BE4D8E9-DA18-426F-8AE6-075B15010390 4 0.5604 0.19200 0.476 0.000 0.020 0.504
#> 8E9CAAC7-31D3-473C-821C-2DAD37B44D3A 2 0.1297 0.77484 0.020 0.964 0.016 0.000
#> 368CFCA3-7BAB-4D6D-9AE1-55713A9965C1 3 0.4790 0.64377 0.380 0.000 0.620 0.000
#> 14DB79EF-DE2B-4197-AD32-F657E0655FCD 2 0.0657 0.77604 0.004 0.984 0.012 0.000
#> E73BCFCB-C5FE-4BF2-A236-B9E69711C121 1 0.4741 0.59845 0.668 0.004 0.328 0.000
#> CDAFAFEA-365B-4F25-AEC0-639B6E0CB626 1 0.5847 0.22668 0.560 0.404 0.036 0.000
#> 48A2AAEB-7F60-4284-808E-2058A531B17C 2 0.0376 0.77650 0.004 0.992 0.004 0.000
#> D4276C6F-9F0F-4F74-A85E-1E54272ADDED 1 0.5936 -0.07159 0.576 0.044 0.380 0.000
#> 0E1705B5-F5D0-421B-9E6B-FAAA4CFEB386 1 0.6960 0.02134 0.468 0.420 0.112 0.000
#> F38BBE3D-3C37-4ED8-A194-B7D723DDD39C 1 0.5018 0.59109 0.656 0.012 0.332 0.000
#> 7337C0EA-0D5E-4B6A-A30C-23664EBC901A 3 0.4804 0.64549 0.384 0.000 0.616 0.000
#> 368ACD26-C7FB-4974-BB7F-0AE22670CB0E 1 0.6148 -0.18788 0.484 0.000 0.048 0.468
#> FD6F6227-0FA2-4FDD-9BDD-E5604FB96D87 3 0.4746 0.65566 0.368 0.000 0.632 0.000
#> 1E4EB005-99B0-4A92-B010-2A91C76D6FEA 4 0.0336 0.80702 0.000 0.000 0.008 0.992
#> 06C726FC-E014-4401-9D9B-E4E8164E0FA6 1 0.4331 0.63584 0.712 0.000 0.288 0.000
#> F244B7C9-5521-42F5-B1B9-6DDF412D5FCA 1 0.3966 0.72529 0.840 0.072 0.088 0.000
#> 3B02D2AE-6DBB-4439-A976-A3B186DFA3AD 1 0.7270 0.00257 0.520 0.000 0.176 0.304
#> D3FDEFAA-36C8-4933-98B0-0E392177FB5E 3 0.7920 -0.18627 0.340 0.316 0.344 0.000
#> 575CE889-DD6F-43B0-BA1A-326A1DE34E37 2 0.0376 0.77383 0.000 0.992 0.004 0.004
#> 2635B074-43E4-4731-AE5E-86BBFA30809D 1 0.4897 0.59341 0.660 0.008 0.332 0.000
#> 4F556BC6-3A10-4EB1-A835-DE1B9E64D292 2 0.0524 0.77421 0.000 0.988 0.008 0.004
#> C7997523-47CF-40F0-8803-AB873E38033C 4 0.5386 0.61704 0.024 0.000 0.344 0.632
#> 3459C5E7-E111-4B45-BFEE-3FFC1D77D5EA 3 0.4353 0.34158 0.232 0.012 0.756 0.000
#> 3C8AFB34-4FB9-404E-A6FD-DDFD6703E956 2 0.4916 0.08985 0.000 0.576 0.424 0.000
#> FFA5B992-AD5F-4527-B79B-B5EA62721684 3 0.4804 0.63895 0.384 0.000 0.616 0.000
#> 29DE9C1A-36DC-44E0-84A4-67BF57CF6FAF 1 0.1743 0.74808 0.940 0.000 0.056 0.004
#> 36765D6C-D93E-46A0-A8C6-1FC776AC9FEB 3 0.5579 0.20833 0.000 0.252 0.688 0.060
#> 9F59F086-C9D1-4624-8023-DB2EB9377743 1 0.5112 0.31789 0.608 0.384 0.008 0.000
#> A470C3F2-6C74-45E1-B4C9-0A6612490FC5 3 0.4761 0.65256 0.372 0.000 0.628 0.000
#> CFB4B8F6-675D-4A70-BCBB-10C87EC514C4 2 0.0336 0.77529 0.000 0.992 0.008 0.000
#> A5ABD7A2-7946-49ED-97D9-6E136F644E96 1 0.0817 0.75681 0.976 0.000 0.024 0.000
#> A0A315C5-8AF1-4FA8-9E1F-45819F3F68F3 1 0.1211 0.75205 0.960 0.000 0.040 0.000
#> BA96CB79-F522-45D0-B0BC-E779C88393AE 1 0.1452 0.76770 0.956 0.008 0.036 0.000
#> CC0DD2EF-C9E3-4871-AC87-D3C9331FAC8E 1 0.7414 -0.07611 0.480 0.000 0.180 0.340
#> 7B8AB60E-77DA-48E4-9320-CC5595D12131 3 0.5123 0.62408 0.232 0.044 0.724 0.000
#> 0038E71C-CAA3-417D-8C16-2986863A4D9A 1 0.2466 0.70661 0.900 0.004 0.096 0.000
#> 0CC397C4-80BE-48CE-A1C9-7AC62547979E 2 0.5491 0.54947 0.052 0.688 0.260 0.000
#> B29206B9-3682-4A5A-A7ED-3DF04361440C 1 0.7665 0.20509 0.456 0.304 0.240 0.000
#> 1DEA6525-5598-4985-9218-D61912C75437 4 0.6079 0.31869 0.408 0.000 0.048 0.544
#> E15EAAB4-0860-4716-9922-667F604CDF12 1 0.1305 0.76704 0.960 0.004 0.036 0.000
#> 0D20BF4B-C0F9-48F3-8845-2A92D4E3248C 2 0.6485 0.33888 0.036 0.532 0.412 0.020
#> 9DE372FA-FA7F-41AB-BE52-B0B7D957CF9D 1 0.2773 0.74498 0.880 0.004 0.116 0.000
#> 5F86DB7A-1906-4E2F-BD50-0AEE3C80B17D 3 0.4996 0.43591 0.484 0.000 0.516 0.000
#> F37E118C-1066-4A84-B190-B9B78E265D94 1 0.0592 0.76003 0.984 0.000 0.016 0.000
#> F4CFA6BD-7516-4A58-BDA7-2CAC24ACAEF7 2 0.4677 0.48743 0.004 0.680 0.316 0.000
#> 0E4AD9E3-52AB-4BA5-9A46-CC60EF0A28E4 2 0.0336 0.77416 0.000 0.992 0.008 0.000
#> E2A4C651-977F-4F40-B5EC-46DF75944141 4 0.0779 0.80425 0.004 0.000 0.016 0.980
#> 433599CC-9DF5-4494-A607-8079FFE74D95 1 0.7007 0.49794 0.580 0.208 0.212 0.000
#> 4C02B5A8-A87E-4AEF-9451-C4B9EEA6B60D 1 0.5856 0.21726 0.556 0.408 0.036 0.000
#> C1522FA7-3B21-4F3E-B32D-844B5090D2D3 3 0.5055 0.35845 0.008 0.368 0.624 0.000
#> 37B86425-204C-40FC-995E-EBD0E797B1DB 1 0.1305 0.76705 0.960 0.004 0.036 0.000
#> 4AEE4E66-F11A-4D09-BFDC-9F3FA94312CC 1 0.1722 0.75321 0.944 0.008 0.048 0.000
#> 235D18D4-E859-4FE9-8B09-AA8DEE3CF2E8 4 0.0592 0.80518 0.000 0.000 0.016 0.984
#> 4E8288D6-E7E7-42F2-9090-9F5EC2E52C44 3 0.4713 0.66047 0.360 0.000 0.640 0.000
#> 4ADDBE21-DCF2-4270-83C9-A3A39F6C8BBC 2 0.4304 0.46092 0.000 0.716 0.284 0.000
#> 5A413BB9-038F-4C3A-9477-7AC0C8EB9864 2 0.5000 -0.12886 0.000 0.504 0.496 0.000
#> B43F52DD-D081-4B9D-9E5B-F76FCCDB6E3A 2 0.4348 0.65982 0.196 0.780 0.024 0.000
#> 946A06A0-1A8B-430B-A8FD-5165A3FEE5DB 2 0.0657 0.77604 0.004 0.984 0.012 0.000
#> 294F1DC6-4610-4DC3-8879-2FB7E4AB30CA 2 0.0937 0.77590 0.012 0.976 0.012 0.000
#> 81A1567C-ACC1-4DE7-A7F5-257DCAF2EEA7 4 0.6443 0.29150 0.400 0.000 0.072 0.528
#> 3D23319C-990C-4A8C-A3E1-E07D49E2A08D 2 0.0707 0.76755 0.000 0.980 0.020 0.000
#> F34C6373-2BC9-49FC-A920-1889E9356D9E 1 0.1557 0.76528 0.944 0.000 0.056 0.000
#> 057B580C-13FD-4185-943C-9DD5266B8554 1 0.2345 0.69460 0.900 0.000 0.100 0.000
#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 1 0.0895 0.75959 0.976 0.004 0.020 0.000
#> 287F3696-25CF-4E67-A934-E50856AD4790 3 0.5075 0.66431 0.344 0.012 0.644 0.000
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 1 0.0524 0.76560 0.988 0.004 0.008 0.000
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 1 0.3001 0.72381 0.896 0.004 0.064 0.036
#> B80A74AB-A264-4396-93F8-FD976DBC1456 3 0.4994 0.17553 0.000 0.480 0.520 0.000
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.3790 0.68841 0.164 0.820 0.016 0.000
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.0336 0.76263 0.992 0.000 0.008 0.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.1978 0.76203 0.928 0.004 0.068 0.000
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 1 0.1489 0.76346 0.952 0.004 0.044 0.000
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 2 0.3172 0.63866 0.000 0.840 0.160 0.000
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.0927 0.77197 0.000 0.976 0.016 0.008
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 4 0.5971 0.37181 0.368 0.000 0.048 0.584
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 1 0.5102 0.67871 0.764 0.100 0.136 0.000
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.4509 0.47734 0.004 0.708 0.288 0.000
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.1637 0.74223 0.940 0.000 0.060 0.000
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.0188 0.77533 0.000 0.996 0.004 0.000
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 2 0.5229 0.63519 0.084 0.748 0.168 0.000
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 1 0.6522 0.52057 0.632 0.224 0.144 0.000
#> DD292494-92A2-43CB-B59B-726B2F429B29 1 0.5623 0.59919 0.660 0.048 0.292 0.000
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 4 0.6740 0.30102 0.412 0.016 0.056 0.516
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 1 0.5367 0.47164 0.664 0.304 0.032 0.000
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 1 0.4283 0.66035 0.740 0.004 0.256 0.000
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 4 0.0188 0.80774 0.000 0.000 0.004 0.996
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 1 0.2053 0.76121 0.924 0.004 0.072 0.000
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 3 0.4888 0.60154 0.412 0.000 0.588 0.000
#> 74CF740D-201D-4070-99B9-F007E7C4D472 4 0.0000 0.80769 0.000 0.000 0.000 1.000
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 2 0.0657 0.77349 0.000 0.984 0.012 0.004
#> 78F28873-E471-497A-9405-FB8955808599 2 0.3486 0.60123 0.000 0.812 0.188 0.000
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.5901 0.52912 0.280 0.652 0.068 0.000
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.2281 0.73802 0.000 0.904 0.096 0.000
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 2 0.0524 0.77445 0.000 0.988 0.008 0.004
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.1043 0.74252 0.040 0.000 0.960 0.000 0.000
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.3427 0.69117 0.836 0.000 0.108 0.056 0.000
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 1 0.4487 0.58760 0.756 0.140 0.000 0.104 0.000
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 1 0.4235 0.26176 0.576 0.000 0.000 0.424 0.000
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.2249 0.65991 0.896 0.096 0.000 0.008 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 1 0.4532 0.51924 0.672 0.000 0.304 0.004 0.020
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.0912 0.77653 0.000 0.972 0.016 0.012 0.000
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 5 0.3398 0.72960 0.000 0.004 0.000 0.216 0.780
#> 18971368-40F0-42D3-B1A3-707850C53B18 5 0.0794 0.81432 0.000 0.000 0.000 0.028 0.972
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#> 25A9EC4A-F646-4B58-A565-14E9AE3C5944 1 0.2569 0.70796 0.892 0.000 0.040 0.068 0.000
#> 287F3696-25CF-4E67-A934-E50856AD4790 3 0.0290 0.74024 0.000 0.008 0.992 0.000 0.000
#> D9349C09-2AFC-4D21-92FB-63A65DE3ADEC 1 0.4372 0.66569 0.756 0.000 0.072 0.172 0.000
#> 84A40FCB-DE48-48B2-A70D-BC10BD75B9EE 1 0.4128 0.64126 0.800 0.004 0.136 0.008 0.052
#> B80A74AB-A264-4396-93F8-FD976DBC1456 3 0.4327 0.50019 0.000 0.360 0.632 0.008 0.000
#> 160972CF-CFDE-439F-A990-4869F96EEA3A 2 0.2270 0.75972 0.016 0.908 0.004 0.072 0.000
#> 4CA054A8-5D75-40B7-94E4-0B5744832FEE 1 0.2580 0.70921 0.892 0.000 0.044 0.064 0.000
#> 3701DD5A-B7CC-4C80-BDB6-F0FE811975A5 1 0.3990 0.52234 0.688 0.000 0.004 0.308 0.000
#> 2AE27B42-030A-4801-8B03-0AFF4F1AEA3E 1 0.5329 0.62180 0.672 0.000 0.184 0.144 0.000
#> DD9F618C-1CE7-4FA9-AA64-13B5FB938AD0 2 0.2284 0.73647 0.004 0.896 0.096 0.004 0.000
#> 3B8267C3-6FCC-4753-BA84-96950B342E39 2 0.2308 0.76631 0.048 0.912 0.000 0.004 0.036
#> 1CF552FF-CF95-475F-AE0B-63BDBF753FD1 1 0.6728 0.18948 0.464 0.000 0.264 0.004 0.268
#> CAF246CF-659B-4C64-B0AA-125B11D23E43 1 0.4114 0.49659 0.712 0.016 0.000 0.272 0.000
#> 33DE9BAA-3B78-4026-96C5-A1A82FB61274 2 0.4996 0.07745 0.000 0.548 0.420 0.032 0.000
#> 5D29C0B1-A2DC-45B2-BF53-DE0C0F798841 1 0.4692 0.49154 0.652 0.000 0.320 0.004 0.024
#> B939F186-F96D-4F4D-A19F-27A9DCACEF6B 2 0.0451 0.78010 0.008 0.988 0.004 0.000 0.000
#> 09565F89-3CBA-4FE4-9DF1-3EFA35A570B6 2 0.5904 0.21237 0.112 0.528 0.000 0.360 0.000
#> A7734BCC-B913-4229-A50D-4A7B6111CD1B 4 0.5159 0.42861 0.400 0.044 0.000 0.556 0.000
#> DD292494-92A2-43CB-B59B-726B2F429B29 4 0.4074 0.49068 0.364 0.000 0.000 0.636 0.000
#> 4D9B6519-2084-4FA7-8199-7AFFC2CE9579 1 0.5349 0.48380 0.684 0.016 0.052 0.008 0.240
#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 1 0.3535 0.62806 0.808 0.028 0.000 0.164 0.000
#> 15AF0A2E-8C09-4B6E-9BA0-9CA1E1CC4884 4 0.3636 0.59582 0.272 0.000 0.000 0.728 0.000
#> 9133A8E4-DE95-4F2B-8F2F-CB52355D8045 5 0.1478 0.80795 0.000 0.000 0.000 0.064 0.936
#> 5E10DA5D-9542-4B4A-9388-12D7BE89B688 1 0.3884 0.56760 0.708 0.000 0.004 0.288 0.000
#> D6BD2E37-B0ED-4351-8A9C-09C648A2DA9E 3 0.3689 0.58946 0.256 0.000 0.740 0.004 0.000
#> 74CF740D-201D-4070-99B9-F007E7C4D472 5 0.0290 0.81398 0.000 0.000 0.000 0.008 0.992
#> CDB7C7C5-AA40-4A19-9FDB-B0FEF096FC33 2 0.1285 0.77597 0.036 0.956 0.000 0.004 0.004
#> 78F28873-E471-497A-9405-FB8955808599 2 0.2170 0.74645 0.004 0.904 0.088 0.004 0.000
#> 29294D9A-434B-4581-9591-63D16107C7B1 2 0.5094 0.64013 0.020 0.724 0.176 0.080 0.000
#> B4DC0995-06D9-4AC9-82D4-CE98A3958283 2 0.5442 0.26634 0.000 0.536 0.052 0.408 0.004
#> D1923C58-76B5-4AA4-B93D-49342748AFAD 2 0.2740 0.76554 0.044 0.888 0.000 0.004 0.064
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> B7D18227-6A93-4E18-9BC4-28CA5502AE4E 3 0.0993 0.80621 0.024 0.000 0.964 0.000 0.000 0.012
#> 5A147DAD-7390-4C90-9921-45CB05066827 1 0.6205 0.24812 0.528 0.000 0.200 0.032 0.000 0.240
#> 71836734-C824-4BD1-9D8F-BD794DBBC9A2 1 0.6630 0.37526 0.528 0.108 0.000 0.140 0.000 0.224
#> 4C2829F9-2672-4C6C-9901-778B3721ACAF 4 0.4315 0.35744 0.328 0.000 0.000 0.636 0.000 0.036
#> 4CBE0475-73DA-4DB3-AB71-29FE1AE332F6 1 0.0909 0.66917 0.968 0.020 0.000 0.012 0.000 0.000
#> 2B2A92C8-005A-4724-9AE0-55450D65A809 6 0.0363 0.74243 0.012 0.000 0.000 0.000 0.000 0.988
#> 966A3A03-3879-4816-A1E9-D805F6018836 2 0.0937 0.73274 0.000 0.960 0.000 0.040 0.000 0.000
#> 0A5B5D18-1A0E-44C3-BEEC-C3AD867DFE84 5 0.3725 0.59366 0.000 0.000 0.008 0.316 0.676 0.000
#> 18971368-40F0-42D3-B1A3-707850C53B18 5 0.0717 0.81687 0.000 0.000 0.000 0.016 0.976 0.008
#> A8D65DDB-516A-4F8C-8038-483A254D41B1 1 0.5322 0.04930 0.504 0.420 0.004 0.012 0.060 0.000
#> 55CE136A-D378-4F33-8EDF-FA35AEF90523 6 0.4857 0.62731 0.208 0.000 0.020 0.000 0.084 0.688
#> 674D36EC-24EA-488F-9B77-59FD7BFA362C 2 0.1820 0.72884 0.044 0.928 0.016 0.012 0.000 0.000
#> 96968BEE-8A40-430E-B634-3EADBE8B7A28 6 0.3819 0.51305 0.020 0.000 0.000 0.000 0.280 0.700
#> 65947DEA-8A0D-4180-82DF-DF21895FF368 1 0.4402 0.58817 0.756 0.124 0.004 0.100 0.000 0.016
#> E4EFC6A1-F139-42AD-ACE3-79CB66804595 5 0.0937 0.81640 0.000 0.000 0.000 0.040 0.960 0.000
#> 71EAF17C-F7E7-4ED5-9DB0-6F3680CD89BA 3 0.2224 0.77207 0.000 0.064 0.904 0.012 0.000 0.020
#> 383EF488-AA5B-432F-93B4-C136E4AA9A74 2 0.4443 0.12355 0.480 0.500 0.004 0.012 0.004 0.000
#> A29E97C5-27A2-4113-B215-0ED606E64F7A 1 0.2622 0.64482 0.896 0.052 0.012 0.012 0.024 0.004
#> 44E0B86A-690F-4AE9-9EA8-FDCC3C826B4F 1 0.5409 0.37671 0.524 0.000 0.000 0.128 0.000 0.348
#> 21F95DBD-67B5-4D03-9A20-22883C4473A1 1 0.6157 0.13894 0.464 0.000 0.004 0.004 0.276 0.252
#> E05A16D7-DD3D-48DC-98D0-8F0DD825E2F0 2 0.0260 0.73616 0.000 0.992 0.000 0.000 0.000 0.008
#> E39D9DB8-83DF-48A1-A43C-D24E78D53E78 2 0.1078 0.73505 0.000 0.964 0.016 0.012 0.000 0.008
#> 47F50B4A-1646-48CB-867C-0FD49C7D3664 5 0.5531 0.36951 0.000 0.108 0.000 0.012 0.544 0.336
#> 252C3486-FBA8-4A82-AA02-480A88E0C508 3 0.4785 0.62906 0.196 0.000 0.696 0.016 0.000 0.092
#> BEDD1191-F918-42BE-A6BE-581BFD10A53B 4 0.1942 0.64008 0.064 0.008 0.000 0.916 0.000 0.012
#> 8606CA64-EA89-48DA-B8F3-9F244737CB0E 1 0.1007 0.67800 0.956 0.000 0.000 0.044 0.000 0.000
#> 2D448C52-038B-4A02-B3FC-8F1A7DB515DE 1 0.2842 0.67797 0.852 0.000 0.000 0.044 0.000 0.104
#> AA26E72A-924D-423E-90F6-96C67A7DFBBE 1 0.2190 0.68302 0.908 0.008 0.000 0.044 0.000 0.040
#> CB39F4AA-36F7-4FBD-9D98-A7B3F35A88D0 5 0.2357 0.78602 0.008 0.072 0.004 0.008 0.900 0.008
#> 87967EBF-B02F-4A23-A484-CDF8F2F2FD94 3 0.1821 0.78219 0.000 0.040 0.928 0.008 0.000 0.024
#> 944BB71C-6508-4743-BFE3-3F2970AEB780 1 0.1409 0.68256 0.948 0.000 0.012 0.008 0.000 0.032
#> 6B1F8A0B-FE7F-4EDF-8F1E-8C703B8234EB 2 0.0260 0.73519 0.000 0.992 0.000 0.008 0.000 0.000
#> 9CF4E7DC-E6E5-4D15-97A4-859D05551775 1 0.5093 0.31445 0.528 0.000 0.000 0.388 0.000 0.084
#> CE6CF8DB-3607-4AD6-84CA-242BDA3189C2 2 0.0520 0.73610 0.008 0.984 0.000 0.008 0.000 0.000
#> 5BB1F89E-5334-4763-8790-793D60E8A9DC 4 0.2262 0.61123 0.016 0.080 0.000 0.896 0.008 0.000
#> BE56F908-42DD-4019-A8AC-48884DA788B1 6 0.7077 -0.07831 0.088 0.224 0.000 0.272 0.000 0.416
#> 5C99DD01-9C8A-4DD2-8DEF-22037BAECD9D 2 0.5086 0.51307 0.288 0.636 0.016 0.012 0.048 0.000
#> 388D4E50-F135-45A2-91FB-3640C65DC4C5 1 0.5222 0.27786 0.588 0.340 0.016 0.012 0.044 0.000
#> 9BA9A60C-977E-4FC9-8B9B-CE66EBE6960F 3 0.3695 0.71135 0.044 0.000 0.776 0.004 0.000 0.176
#> 791D9EB8-42E0-4192-B064-B1126CA14481 2 0.3975 0.60574 0.228 0.740 0.004 0.008 0.012 0.008
#> C3C9CF41-BD87-43B6-A064-E336ABB61CAF 2 0.2195 0.72698 0.000 0.912 0.024 0.036 0.000 0.028
#> 0DE42FC5-00AF-4DA9-BD6A-3E0CF47CA89E 2 0.1458 0.73761 0.020 0.948 0.016 0.016 0.000 0.000
#> D2101E37-DF46-42AC-B1CD-B1B3BAA71104 5 0.3977 0.63960 0.096 0.000 0.000 0.000 0.760 0.144
#> B933A84B-7F0A-4FCB-B864-ABDF0F2DF1AD 1 0.4309 0.51472 0.660 0.000 0.000 0.296 0.000 0.044
#> 9293F2BB-99B2-45DF-AEDD-83F734641FFD 3 0.0806 0.80526 0.020 0.000 0.972 0.000 0.000 0.008
#> D47C7B74-BB01-4614-B683-652F7130729C 2 0.3740 0.63114 0.000 0.764 0.200 0.012 0.000 0.024
#> E8A40DF2-019A-4EA8-BFCD-DA39A5942A45 1 0.1553 0.66326 0.944 0.032 0.008 0.012 0.004 0.000
#> 5C689B08-91FF-45D3-8294-2A8E84D9A018 1 0.1820 0.65708 0.924 0.056 0.008 0.012 0.000 0.000
#> D20402E2-E3CC-4535-922D-3D7BBFA48AD7 1 0.4855 0.58627 0.700 0.000 0.016 0.148 0.000 0.136
#> 3C5F7739-5DCC-4EAA-BB35-369C99B721C5 2 0.1644 0.73167 0.028 0.932 0.000 0.040 0.000 0.000
#> 653C0A98-1A7B-435D-837F-5F866E8496C0 1 0.1155 0.68248 0.956 0.004 0.000 0.004 0.000 0.036
#> 52B323DD-011C-417C-B0F3-311037D7C0F0 1 0.0551 0.67271 0.984 0.008 0.004 0.004 0.000 0.000
#> 9C2C1195-DB04-4A0C-BD6D-CF3408FF1CA0 2 0.1616 0.73282 0.028 0.940 0.020 0.012 0.000 0.000
#> A6B67C26-3357-4E70-A056-E7BE7FAEE36A 2 0.4102 0.41692 0.000 0.628 0.356 0.004 0.000 0.012
#> A6EFEFFB-AD43-4CB3-8D3C-D7A972206678 3 0.3765 0.72118 0.048 0.000 0.780 0.008 0.000 0.164
#> DDAAF948-34BA-471B-AB9C-B43F3BE265CF 1 0.3996 0.58376 0.768 0.160 0.004 0.064 0.000 0.004
#> 58F11B66-AE40-417E-B465-811C6CF7311C 4 0.2178 0.62853 0.132 0.000 0.000 0.868 0.000 0.000
#> 3DA9560E-8181-4BAD-A90E-E4EE558E6EAF 1 0.5886 0.39429 0.616 0.012 0.012 0.008 0.172 0.180
#> CC112597-9D59-44C2-9AFC-1850CB5A8107 4 0.5638 0.47045 0.052 0.272 0.000 0.600 0.000 0.076
#> 1897D384-012E-4A19-A294-FE11EF21EFA3 1 0.5698 0.30156 0.536 0.312 0.004 0.144 0.000 0.004
#> 268EA4BE-77B2-4916-B1DE-4DB07C56DCA2 2 0.1857 0.73090 0.028 0.928 0.032 0.012 0.000 0.000
#> 739952C6-FF36-4E34-B881-E02FE17C4012 6 0.3463 0.56344 0.008 0.000 0.000 0.004 0.240 0.748
#> E5F34574-DEDC-4A72-939B-DD9F6CFA3869 4 0.3966 -0.14738 0.000 0.000 0.004 0.552 0.444 0.000
#> E6ECEA27-510A-46F2-9AF0-1E0286ABD9B5 2 0.4555 0.16751 0.016 0.532 0.000 0.440 0.000 0.012
#> 6E704444-91A5-4DBC-8F7A-07BA3A3CFE61 6 0.0405 0.73962 0.008 0.004 0.000 0.000 0.000 0.988
#> 90C2DE9B-904B-4206-A31A-B682239FD8A8 1 0.2579 0.67264 0.872 0.000 0.000 0.088 0.000 0.040
#> 78599DAC-E520-48F9-9B79-7929439DE4E7 4 0.3063 0.60542 0.092 0.000 0.000 0.840 0.068 0.000
#> 604E7A74-7B6D-4E9B-8FDF-A1CCEE6FD2E6 6 0.1584 0.74556 0.064 0.000 0.008 0.000 0.000 0.928
#> F6B26185-139B-47A7-91EC-E885D94AC882 6 0.0912 0.73637 0.008 0.004 0.004 0.012 0.000 0.972
#> 81F30B6F-3E9A-4913-986B-C56D5F107A17 6 0.3744 0.61605 0.004 0.036 0.008 0.000 0.168 0.784
#> 2CCB3AE1-0D27-4493-B7AE-67C60BBC1C38 2 0.1644 0.72908 0.000 0.920 0.076 0.000 0.000 0.004
#> 329665BC-B959-47C5-B831-5546F94EDAC1 5 0.5004 0.63525 0.172 0.052 0.012 0.012 0.724 0.028
#> 8D4335F6-6ACB-4E38-B9F2-A2B5B647AE90 1 0.2179 0.66139 0.916 0.012 0.024 0.008 0.040 0.000
#> D181D0D8-FD8C-4259-9B34-97224CF27E1B 2 0.2619 0.72145 0.072 0.884 0.008 0.004 0.000 0.032
#> C0C10950-ABC5-4125-A33E-5AFA2D2574B0 2 0.6027 0.38291 0.000 0.528 0.268 0.184 0.000 0.020
#> 834D12DB-0925-422C-B15B-20A60A5F658C 2 0.6948 0.23459 0.336 0.456 0.008 0.012 0.056 0.132
#> 50314689-519F-4B27-884C-7816DD64CF4E 4 0.4813 0.45352 0.248 0.000 0.000 0.648 0.000 0.104
#> 2502A23E-E168-4A78-9C14-B93FBC9715B1 3 0.5531 0.41221 0.184 0.000 0.552 0.000 0.000 0.264
#> 3F8D01A3-5449-48A1-BDBA-BFE4D908AE31 4 0.6087 0.13045 0.148 0.408 0.000 0.424 0.000 0.020
#> 1C47A87B-C033-4705-B903-DB33B8C6EC34 1 0.4661 0.25440 0.584 0.380 0.004 0.020 0.000 0.012
#> 1329E1C1-743E-4541-9081-165572D4BF47 1 0.5419 0.24301 0.532 0.064 0.008 0.384 0.000 0.012
#> 1F3F8680-EEB6-4532-B81D-51957D1EA502 1 0.6520 0.37336 0.584 0.188 0.004 0.012 0.140 0.072
#> 50F69785-8B7A-4933-85B1-8DC539ACC72A 5 0.1444 0.80819 0.000 0.000 0.000 0.072 0.928 0.000
#> 9095FDD8-EEB2-4B17-85AB-3CDAC0BEC759 1 0.2444 0.68601 0.904 0.020 0.008 0.032 0.000 0.036
#> B6BF8C22-03E4-44F0-B2EF-2A3DD6ADE7D7 2 0.6794 0.23325 0.352 0.432 0.012 0.012 0.172 0.020
#> D6A907FC-3A1B-4E3B-A440-1CE9BE9B334B 2 0.5655 0.01915 0.428 0.472 0.000 0.064 0.000 0.036
#> 02588D5D-89CB-4D0B-9E96-A0270C3FF866 2 0.4379 0.57829 0.000 0.700 0.008 0.052 0.000 0.240
#> D50BBFC7-7774-4B12-938C-8D5373C12DFC 2 0.4127 0.30234 0.008 0.588 0.004 0.400 0.000 0.000
#> 6E930060-502B-49F5-A385-9B91DEBD05E4 6 0.1807 0.74134 0.060 0.000 0.000 0.020 0.000 0.920
#> F6606A8E-ACC6-4826-9547-E0017521724D 1 0.2427 0.65089 0.904 0.000 0.028 0.012 0.044 0.012
#> 981584D3-10DB-455C-8132-E8E5F44E1222 2 0.3782 0.67512 0.132 0.804 0.012 0.012 0.040 0.000
#> 47F6E197-7164-4289-95B5-8FD305A13B4C 5 0.1327 0.81093 0.000 0.000 0.000 0.064 0.936 0.000
#> 4522D871-9379-4643-B15E-9ACB556276C4 3 0.3930 0.28172 0.420 0.000 0.576 0.000 0.000 0.004
#> 7560B2B5-6AF5-4600-9F0A-BE25CF99B6B9 1 0.5774 0.27106 0.556 0.000 0.020 0.004 0.112 0.308
#> 38F5957E-0A99-432D-8F0B-B48E03F17668 6 0.3713 0.63356 0.224 0.000 0.000 0.000 0.032 0.744
#> 7A6BBBE6-2B3B-44EB-A101-C823739AB24F 2 0.0790 0.73442 0.000 0.968 0.000 0.032 0.000 0.000
#> 0782D25A-3B14-499E-A40C-3852B3A15B8B 2 0.5790 0.15800 0.128 0.516 0.000 0.340 0.000 0.016
#> 31D4B639-D1E5-479B-AEC2-34F758F2E470 5 0.2401 0.80000 0.004 0.000 0.060 0.016 0.900 0.020
#> C49078E1-E730-4E81-8EAE-5AAAB9FA1BF5 2 0.3878 0.64725 0.000 0.764 0.056 0.000 0.004 0.176
#> 48BCD3B8-917F-4E8F-BCEA-1363570A6486 1 0.4385 0.23740 0.588 0.388 0.012 0.012 0.000 0.000
#> F3BA6259-9F68-47D0-ABDD-1272AE112CAB 2 0.4466 0.17180 0.016 0.536 0.000 0.440 0.000 0.008
#> 3CA49BB1-30F6-47F3-A751-D5601E16BDBA 2 0.2806 0.71913 0.068 0.880 0.004 0.004 0.012 0.032
#> 47747595-686A-46B5-9EF4-A4CFB85D746D 3 0.1536 0.80789 0.024 0.000 0.944 0.012 0.000 0.020
#> 87974EFF-C2DE-4930-93E3-015E6D996440 3 0.5247 0.52433 0.260 0.092 0.628 0.020 0.000 0.000
#> 7D272E6C-826D-4D02-8383-6A3D5BBF3A5F 3 0.1074 0.80588 0.028 0.000 0.960 0.000 0.000 0.012
#> 070E540B-34DB-4016-B573-84924407F57F 1 0.3087 0.65479 0.868 0.000 0.044 0.012 0.020 0.056
#> 63F4281A-4D90-4589-879E-549097FB3459 4 0.2504 0.49688 0.004 0.000 0.004 0.856 0.136 0.000
#> 93A66EA0-0C74-4342-8140-72ECB01F99A1 6 0.1900 0.72042 0.008 0.000 0.008 0.000 0.068 0.916
#> C92AD683-FD09-4DD2-A5A5-C72EA5DD9B46 1 0.1542 0.67854 0.936 0.000 0.008 0.052 0.000 0.004
#> 38D2BE9E-15D4-47BC-8FEB-55310F23825B 2 0.2563 0.72150 0.084 0.880 0.000 0.028 0.000 0.008
#> B3029936-1EEF-4378-AA28-D5B2A32CDC86 1 0.2699 0.67151 0.880 0.000 0.068 0.032 0.000 0.020
#> 9A33172F-AEEA-4B7D-9605-0C60D7872CEA 5 0.3265 0.68421 0.000 0.000 0.004 0.248 0.748 0.000
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#> 24AE4256-3483-404F-BDE5-3ED03028ADEA 1 0.3304 0.64774 0.836 0.048 0.000 0.100 0.000 0.016
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#> D1923C58-76B5-4AA4-B93D-49342748AFAD 2 0.4389 0.63821 0.168 0.736 0.000 0.012 0.084 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
sessionInfo()
#> R version 3.6.0 (2019-04-26)
#> Platform: x86_64-pc-linux-gnu (64-bit)
#> Running under: CentOS Linux 7 (Core)
#>
#> Matrix products: default
#> BLAS: /usr/lib64/libblas.so.3.4.2
#> LAPACK: /usr/lib64/liblapack.so.3.4.2
#>
#> locale:
#> [1] LC_CTYPE=en_GB.UTF-8 LC_NUMERIC=C LC_TIME=en_GB.UTF-8
#> [4] LC_COLLATE=en_GB.UTF-8 LC_MONETARY=en_GB.UTF-8 LC_MESSAGES=en_GB.UTF-8
#> [7] LC_PAPER=en_GB.UTF-8 LC_NAME=C LC_ADDRESS=C
#> [10] LC_TELEPHONE=C LC_MEASUREMENT=en_GB.UTF-8 LC_IDENTIFICATION=C
#>
#> attached base packages:
#> [1] grid stats graphics grDevices utils datasets methods base
#>
#> other attached packages:
#> [1] genefilter_1.66.0 ComplexHeatmap_2.3.1 markdown_1.1 knitr_1.26
#> [5] GetoptLong_0.1.7 cola_1.3.2
#>
#> loaded via a namespace (and not attached):
#> [1] circlize_0.4.8 shape_1.4.4 xfun_0.11 slam_0.1-46
#> [5] lattice_0.20-38 splines_3.6.0 colorspace_1.4-1 vctrs_0.2.0
#> [9] stats4_3.6.0 blob_1.2.0 XML_3.98-1.20 survival_2.44-1.1
#> [13] rlang_0.4.2 pillar_1.4.2 DBI_1.0.0 BiocGenerics_0.30.0
#> [17] bit64_0.9-7 RColorBrewer_1.1-2 matrixStats_0.55.0 stringr_1.4.0
#> [21] GlobalOptions_0.1.1 evaluate_0.14 memoise_1.1.0 Biobase_2.44.0
#> [25] IRanges_2.18.3 parallel_3.6.0 AnnotationDbi_1.46.1 highr_0.8
#> [29] Rcpp_1.0.3 xtable_1.8-4 backports_1.1.5 S4Vectors_0.22.1
#> [33] annotate_1.62.0 skmeans_0.2-11 bit_1.1-14 microbenchmark_1.4-7
#> [37] brew_1.0-6 impute_1.58.0 rjson_0.2.20 png_0.1-7
#> [41] digest_0.6.23 stringi_1.4.3 polyclip_1.10-0 clue_0.3-57
#> [45] tools_3.6.0 bitops_1.0-6 magrittr_1.5 eulerr_6.0.0
#> [49] RCurl_1.95-4.12 RSQLite_2.1.4 tibble_2.1.3 cluster_2.1.0
#> [53] crayon_1.3.4 pkgconfig_2.0.3 zeallot_0.1.0 Matrix_1.2-17
#> [57] xml2_1.2.2 httr_1.4.1 R6_2.4.1 mclust_5.4.5
#> [61] compiler_3.6.0