Date: 2019-12-26 01:33:11 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 17888 rows and 430 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] 17888 430
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 | 0.982 | 0.993 | ** |
| ATC:skmeans | 2 | 1.000 | 0.970 | 0.988 | ** |
| ATC:NMF | 2 | 1.000 | 0.968 | 0.987 | ** |
| ATC:pam | 2 | 0.995 | 0.950 | 0.980 | ** |
| SD:NMF | 2 | 0.871 | 0.915 | 0.959 | |
| CV:NMF | 2 | 0.846 | 0.911 | 0.962 | |
| CV:skmeans | 3 | 0.808 | 0.869 | 0.940 | |
| SD:skmeans | 4 | 0.773 | 0.807 | 0.897 | |
| CV:kmeans | 2 | 0.737 | 0.850 | 0.940 | |
| MAD:skmeans | 4 | 0.726 | 0.792 | 0.887 | |
| SD:kmeans | 3 | 0.676 | 0.642 | 0.849 | |
| MAD:mclust | 4 | 0.657 | 0.744 | 0.866 | |
| MAD:kmeans | 3 | 0.641 | 0.733 | 0.885 | |
| ATC:mclust | 4 | 0.615 | 0.806 | 0.877 | |
| MAD:NMF | 2 | 0.462 | 0.768 | 0.862 | |
| CV:mclust | 2 | 0.412 | 0.751 | 0.874 | |
| SD:mclust | 3 | 0.390 | 0.713 | 0.763 | |
| ATC:hclust | 2 | 0.354 | 0.703 | 0.861 | |
| SD:pam | 3 | 0.342 | 0.533 | 0.770 | |
| CV:pam | 2 | 0.341 | 0.742 | 0.869 | |
| MAD:pam | 3 | 0.313 | 0.495 | 0.761 | |
| CV:hclust | 5 | 0.221 | 0.527 | 0.709 | |
| SD:hclust | 3 | 0.136 | 0.509 | 0.713 | |
| MAD:hclust | 3 | 0.106 | 0.486 | 0.668 |
**: 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 0.8713 0.915 0.959 0.464 0.541 0.541
#> CV:NMF 2 0.8458 0.911 0.962 0.496 0.505 0.505
#> MAD:NMF 2 0.4621 0.768 0.862 0.475 0.523 0.523
#> ATC:NMF 2 1.0000 0.968 0.987 0.373 0.630 0.630
#> SD:skmeans 2 0.4338 0.740 0.889 0.500 0.499 0.499
#> CV:skmeans 2 0.7529 0.843 0.937 0.498 0.501 0.501
#> MAD:skmeans 2 0.4314 0.642 0.854 0.500 0.499 0.499
#> ATC:skmeans 2 1.0000 0.970 0.988 0.497 0.503 0.503
#> SD:mclust 2 0.2575 0.681 0.816 0.448 0.533 0.533
#> CV:mclust 2 0.4118 0.751 0.874 0.433 0.552 0.552
#> MAD:mclust 2 0.1428 0.546 0.761 0.427 0.521 0.521
#> ATC:mclust 2 0.4158 0.681 0.817 0.361 0.635 0.635
#> SD:kmeans 2 0.3114 0.724 0.822 0.483 0.509 0.509
#> CV:kmeans 2 0.7373 0.850 0.940 0.471 0.532 0.532
#> MAD:kmeans 2 0.3349 0.613 0.805 0.486 0.499 0.499
#> ATC:kmeans 2 1.0000 0.982 0.993 0.473 0.529 0.529
#> SD:pam 2 0.0973 0.274 0.679 0.487 0.502 0.502
#> CV:pam 2 0.3412 0.742 0.869 0.492 0.499 0.499
#> MAD:pam 2 0.1703 0.328 0.738 0.482 0.500 0.500
#> ATC:pam 2 0.9948 0.950 0.980 0.474 0.529 0.529
#> SD:hclust 2 0.0739 0.570 0.771 0.426 0.597 0.597
#> CV:hclust 2 0.2850 0.712 0.856 0.269 0.874 0.874
#> MAD:hclust 2 0.0556 0.572 0.749 0.423 0.630 0.630
#> ATC:hclust 2 0.3539 0.703 0.861 0.457 0.502 0.502
get_stats(res_list, k = 3)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 3 0.628 0.711 0.873 0.423 0.716 0.511
#> CV:NMF 3 0.599 0.683 0.865 0.336 0.713 0.490
#> MAD:NMF 3 0.592 0.589 0.805 0.393 0.794 0.617
#> ATC:NMF 3 0.663 0.801 0.907 0.667 0.674 0.512
#> SD:skmeans 3 0.704 0.746 0.899 0.333 0.698 0.467
#> CV:skmeans 3 0.808 0.869 0.940 0.335 0.726 0.507
#> MAD:skmeans 3 0.694 0.764 0.899 0.335 0.719 0.496
#> ATC:skmeans 3 0.788 0.866 0.931 0.302 0.788 0.599
#> SD:mclust 3 0.390 0.713 0.763 0.331 0.618 0.416
#> CV:mclust 3 0.367 0.512 0.782 0.424 0.714 0.523
#> MAD:mclust 3 0.378 0.686 0.751 0.406 0.606 0.396
#> ATC:mclust 3 0.476 0.790 0.859 0.663 0.673 0.512
#> SD:kmeans 3 0.676 0.642 0.849 0.367 0.681 0.454
#> CV:kmeans 3 0.536 0.788 0.844 0.308 0.690 0.487
#> MAD:kmeans 3 0.641 0.733 0.885 0.361 0.731 0.513
#> ATC:kmeans 3 0.774 0.886 0.944 0.392 0.686 0.469
#> SD:pam 3 0.342 0.533 0.770 0.340 0.669 0.437
#> CV:pam 3 0.224 0.426 0.699 0.257 0.858 0.729
#> MAD:pam 3 0.313 0.495 0.761 0.353 0.571 0.327
#> ATC:pam 3 0.657 0.729 0.856 0.393 0.730 0.525
#> SD:hclust 3 0.136 0.509 0.713 0.431 0.671 0.480
#> CV:hclust 3 0.132 0.521 0.753 0.700 0.692 0.651
#> MAD:hclust 3 0.106 0.486 0.668 0.424 0.650 0.471
#> ATC:hclust 3 0.382 0.666 0.757 0.368 0.701 0.479
get_stats(res_list, k = 4)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 4 0.633 0.634 0.814 0.1289 0.816 0.526
#> CV:NMF 4 0.637 0.736 0.841 0.1242 0.809 0.507
#> MAD:NMF 4 0.641 0.722 0.846 0.1274 0.764 0.436
#> ATC:NMF 4 0.474 0.545 0.751 0.1637 0.782 0.495
#> SD:skmeans 4 0.773 0.807 0.897 0.1205 0.852 0.596
#> CV:skmeans 4 0.696 0.638 0.812 0.1166 0.883 0.675
#> MAD:skmeans 4 0.726 0.792 0.887 0.1207 0.852 0.596
#> ATC:skmeans 4 0.696 0.777 0.862 0.0994 0.895 0.714
#> SD:mclust 4 0.627 0.700 0.851 0.2241 0.810 0.553
#> CV:mclust 4 0.462 0.612 0.782 0.0470 0.780 0.556
#> MAD:mclust 4 0.657 0.744 0.866 0.2128 0.797 0.529
#> ATC:mclust 4 0.615 0.806 0.877 0.1300 0.701 0.401
#> SD:kmeans 4 0.646 0.657 0.814 0.1255 0.789 0.473
#> CV:kmeans 4 0.624 0.677 0.836 0.1520 0.887 0.710
#> MAD:kmeans 4 0.605 0.729 0.814 0.1225 0.809 0.510
#> ATC:kmeans 4 0.769 0.777 0.900 0.1330 0.784 0.467
#> SD:pam 4 0.432 0.533 0.711 0.1330 0.830 0.560
#> CV:pam 4 0.390 0.588 0.744 0.1368 0.794 0.547
#> MAD:pam 4 0.392 0.485 0.706 0.1334 0.788 0.478
#> ATC:pam 4 0.538 0.577 0.714 0.0947 0.907 0.739
#> SD:hclust 4 0.240 0.354 0.643 0.1222 0.966 0.905
#> CV:hclust 4 0.170 0.524 0.725 0.2015 0.884 0.806
#> MAD:hclust 4 0.219 0.385 0.637 0.1254 0.882 0.701
#> ATC:hclust 4 0.438 0.515 0.676 0.1328 0.785 0.476
get_stats(res_list, k = 5)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 5 0.634 0.603 0.776 0.0671 0.839 0.475
#> CV:NMF 5 0.626 0.454 0.696 0.0614 0.872 0.568
#> MAD:NMF 5 0.667 0.634 0.806 0.0690 0.873 0.563
#> ATC:NMF 5 0.527 0.515 0.713 0.0749 0.797 0.405
#> SD:skmeans 5 0.696 0.604 0.756 0.0627 0.926 0.724
#> CV:skmeans 5 0.703 0.682 0.826 0.0669 0.883 0.606
#> MAD:skmeans 5 0.703 0.558 0.751 0.0624 0.936 0.763
#> ATC:skmeans 5 0.794 0.766 0.886 0.0742 0.921 0.736
#> SD:mclust 5 0.664 0.687 0.821 0.0709 0.848 0.514
#> CV:mclust 5 0.533 0.526 0.757 0.1296 0.784 0.508
#> MAD:mclust 5 0.641 0.663 0.804 0.0675 0.851 0.527
#> ATC:mclust 5 0.666 0.737 0.835 0.0547 0.943 0.832
#> SD:kmeans 5 0.623 0.587 0.749 0.0650 0.875 0.565
#> CV:kmeans 5 0.654 0.602 0.803 0.0881 0.864 0.591
#> MAD:kmeans 5 0.643 0.559 0.740 0.0655 0.924 0.720
#> ATC:kmeans 5 0.661 0.583 0.771 0.0618 0.866 0.547
#> SD:pam 5 0.487 0.406 0.642 0.0666 0.923 0.721
#> CV:pam 5 0.485 0.488 0.722 0.0921 0.866 0.588
#> MAD:pam 5 0.507 0.479 0.714 0.0683 0.868 0.550
#> ATC:pam 5 0.618 0.524 0.761 0.0775 0.802 0.437
#> SD:hclust 5 0.294 0.367 0.590 0.0613 0.867 0.646
#> CV:hclust 5 0.221 0.527 0.709 0.1201 0.932 0.865
#> MAD:hclust 5 0.279 0.357 0.600 0.0630 0.933 0.806
#> ATC:hclust 5 0.488 0.454 0.682 0.0708 0.834 0.504
get_stats(res_list, k = 6)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 6 0.667 0.620 0.766 0.0409 0.912 0.614
#> CV:NMF 6 0.675 0.526 0.747 0.0414 0.843 0.424
#> MAD:NMF 6 0.672 0.592 0.765 0.0398 0.906 0.593
#> ATC:NMF 6 0.550 0.403 0.624 0.0521 0.869 0.498
#> SD:skmeans 6 0.698 0.485 0.736 0.0405 0.900 0.590
#> CV:skmeans 6 0.691 0.519 0.732 0.0407 0.912 0.623
#> MAD:skmeans 6 0.714 0.613 0.765 0.0405 0.896 0.583
#> ATC:skmeans 6 0.735 0.682 0.825 0.0431 0.960 0.834
#> SD:mclust 6 0.687 0.657 0.784 0.0355 0.926 0.681
#> CV:mclust 6 0.547 0.513 0.698 0.0536 0.805 0.409
#> MAD:mclust 6 0.645 0.557 0.718 0.0354 0.908 0.629
#> ATC:mclust 6 0.656 0.669 0.809 0.0560 0.949 0.834
#> SD:kmeans 6 0.664 0.467 0.689 0.0439 0.938 0.725
#> CV:kmeans 6 0.623 0.510 0.703 0.0456 0.873 0.526
#> MAD:kmeans 6 0.667 0.537 0.717 0.0433 0.879 0.524
#> ATC:kmeans 6 0.704 0.655 0.798 0.0420 0.914 0.626
#> SD:pam 6 0.580 0.342 0.628 0.0464 0.805 0.337
#> CV:pam 6 0.560 0.528 0.724 0.0428 0.868 0.522
#> MAD:pam 6 0.550 0.388 0.657 0.0441 0.907 0.598
#> ATC:pam 6 0.668 0.601 0.789 0.0543 0.886 0.553
#> SD:hclust 6 0.353 0.415 0.610 0.0440 0.835 0.530
#> CV:hclust 6 0.256 0.475 0.689 0.0717 0.965 0.923
#> MAD:hclust 6 0.339 0.366 0.586 0.0512 0.882 0.640
#> ATC:hclust 6 0.521 0.449 0.624 0.0463 0.911 0.672
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 17888 rows and 430 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 0.0739 0.570 0.771 0.4258 0.597 0.597
#> 3 3 0.1362 0.509 0.713 0.4306 0.671 0.480
#> 4 4 0.2401 0.354 0.643 0.1222 0.966 0.905
#> 5 5 0.2943 0.367 0.590 0.0613 0.867 0.646
#> 6 6 0.3530 0.415 0.610 0.0440 0.835 0.530
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
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 1 0.949 0.51073 0.632 0.368
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 1 0.946 0.48799 0.636 0.364
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 1 0.999 0.07969 0.516 0.484
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.242 0.71806 0.040 0.960
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 1 0.971 0.42745 0.600 0.400
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 2 0.327 0.72897 0.060 0.940
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 1 0.988 0.32412 0.564 0.436
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 2 0.985 0.27838 0.428 0.572
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.456 0.72610 0.096 0.904
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.311 0.72155 0.056 0.944
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.506 0.72914 0.112 0.888
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 1 0.402 0.71709 0.920 0.080
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 2 0.775 0.62844 0.228 0.772
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.416 0.72325 0.084 0.916
#> ECB2DF14-CF68-44D4-8719-973AE448B992 2 0.909 0.57201 0.324 0.676
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 2 0.969 0.39523 0.396 0.604
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 1 0.595 0.68962 0.856 0.144
#> 3282F146-2782-4877-9EFE-6020AC277A8C 1 0.987 0.33195 0.568 0.432
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 2 1.000 0.02659 0.488 0.512
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 2 0.595 0.72519 0.144 0.856
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.482 0.72052 0.104 0.896
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#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 2 0.991 0.18554 0.444 0.556
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 2 0.358 0.70067 0.068 0.932
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 1 0.260 0.65702 0.956 0.044
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 2 0.788 0.60448 0.236 0.764
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 2 0.311 0.69721 0.056 0.944
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 2 0.781 0.61761 0.232 0.768
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.278 0.71976 0.048 0.952
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 1 0.795 0.66971 0.760 0.240
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 2 0.634 0.71268 0.160 0.840
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 2 0.714 0.70691 0.196 0.804
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 2 0.416 0.70939 0.084 0.916
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 1 0.946 0.49776 0.636 0.364
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 2 0.795 0.66439 0.240 0.760
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 2 0.939 0.49526 0.356 0.644
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 1 0.833 0.63780 0.736 0.264
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 1 0.518 0.72034 0.884 0.116
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 1 0.921 0.55076 0.664 0.336
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 2 0.760 0.62394 0.220 0.780
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 2 0.788 0.61081 0.236 0.764
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 2 0.998 0.08470 0.476 0.524
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.753 0.66120 0.216 0.784
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.753 0.66120 0.216 0.784
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 1 0.969 0.41380 0.604 0.396
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 1 0.929 0.54188 0.656 0.344
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.260 0.71895 0.044 0.956
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 1 0.997 0.15327 0.532 0.468
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 1 0.987 0.30090 0.568 0.432
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 1 0.998 0.17857 0.524 0.476
#> CA356591-D24F-41A8-8C9A-1178C7781510 1 0.921 0.55838 0.664 0.336
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 1 0.402 0.71032 0.920 0.080
#> 825309CC-4841-4475-BF77-8250C5EEADD8 2 0.311 0.69721 0.056 0.944
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 3 0.6849 0.43712 0.020 0.380 0.600
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.6345 0.27141 0.004 0.400 0.596
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 3 0.7996 0.17557 0.060 0.464 0.476
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.1163 0.67768 0.028 0.972 0.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 3 0.8333 0.49885 0.100 0.328 0.572
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 2 0.7561 0.03415 0.444 0.516 0.040
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 3 0.7256 0.28570 0.028 0.440 0.532
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 2 0.8108 0.12216 0.072 0.536 0.392
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.3134 0.69483 0.032 0.916 0.052
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.1620 0.68405 0.024 0.964 0.012
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.6625 0.62450 0.176 0.744 0.080
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.4035 0.66295 0.040 0.080 0.880
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.8303 0.56736 0.632 0.196 0.172
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.2806 0.69360 0.032 0.928 0.040
#> ECB2DF14-CF68-44D4-8719-973AE448B992 1 0.9792 0.14409 0.436 0.276 0.288
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 2 0.8705 0.14523 0.116 0.524 0.360
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 3 0.5119 0.54504 0.152 0.032 0.816
#> 3282F146-2782-4877-9EFE-6020AC277A8C 3 0.7353 0.29217 0.032 0.436 0.532
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 3 0.9631 0.38079 0.288 0.244 0.468
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 2 0.7515 0.56559 0.220 0.680 0.100
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.2743 0.69064 0.020 0.928 0.052
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 3 0.9367 0.27823 0.344 0.180 0.476
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.0892 0.67858 0.020 0.980 0.000
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 1 0.5842 0.65584 0.768 0.036 0.196
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 3 0.6721 0.65217 0.116 0.136 0.748
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 3 0.9470 0.30016 0.324 0.200 0.476
#> C945DDA9-0194-46F4-89E2-13883284D5A4 3 0.4712 0.66513 0.044 0.108 0.848
#> 79B11925-9772-474F-A729-D00315959710 1 0.4609 0.71975 0.856 0.092 0.052
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 2 0.5470 0.64586 0.036 0.796 0.168
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 1 0.5292 0.65599 0.800 0.028 0.172
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 3 0.9725 0.30271 0.320 0.240 0.440
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.6823 0.66955 0.740 0.108 0.152
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.6542 0.59780 0.060 0.736 0.204
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 1 0.6895 0.63021 0.708 0.064 0.228
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.5585 0.65380 0.092 0.096 0.812
#> 26796E5F-C0C2-466C-9012-882F6D29C149 3 0.8747 0.32704 0.112 0.396 0.492
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 0.5298 0.66033 0.804 0.032 0.164
#> 1492D21A-6458-4B49-B530-7A327FCDD031 1 0.7211 0.67531 0.716 0.128 0.156
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 2 0.9842 -0.21444 0.248 0.384 0.368
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 3 0.9868 0.26799 0.256 0.360 0.384
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.8518 0.56780 0.612 0.208 0.180
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 3 0.9768 0.25232 0.296 0.264 0.440
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.2176 0.68965 0.032 0.948 0.020
#> E846120D-D9E6-46F8-9647-2272AB064072 1 0.5955 0.65562 0.772 0.048 0.180
#> 36880C8C-91A9-49A9-A2D5-957161737F31 2 0.6126 0.30026 0.352 0.644 0.004
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.1129 0.68059 0.020 0.976 0.004
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 2 0.5122 0.62563 0.200 0.788 0.012
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 1 0.5850 0.65790 0.772 0.040 0.188
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 1 0.8298 0.58176 0.628 0.152 0.220
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 2 0.4749 0.65021 0.172 0.816 0.012
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 3 0.3610 0.66103 0.016 0.096 0.888
#> 116F3F29-AB89-4F00-9003-559041E285EB 3 0.7394 0.15647 0.032 0.472 0.496
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.5785 0.39330 0.300 0.696 0.004
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 3 0.9612 0.29734 0.332 0.216 0.452
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 2 0.6964 0.49991 0.052 0.684 0.264
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 3 0.9515 0.41671 0.216 0.304 0.480
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 1 0.3532 0.69750 0.884 0.108 0.008
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 2 0.5791 0.65267 0.060 0.792 0.148
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 2 0.6398 0.61261 0.060 0.748 0.192
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.2165 0.70045 0.936 0.064 0.000
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 3 0.4146 0.66339 0.044 0.080 0.876
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.1289 0.67780 0.032 0.968 0.000
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 3 0.5331 0.66770 0.076 0.100 0.824
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 1 0.9364 0.41049 0.512 0.220 0.268
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 2 0.9228 -0.14557 0.152 0.432 0.416
#> CD576099-5450-4232-9B59-08341BED8FFA 2 0.8297 0.22933 0.092 0.560 0.348
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 2 0.5891 0.63568 0.052 0.780 0.168
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 1 0.2584 0.70452 0.928 0.064 0.008
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 1 0.2599 0.69860 0.932 0.052 0.016
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 2 0.4399 0.68666 0.044 0.864 0.092
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 3 0.7600 0.49456 0.060 0.328 0.612
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 3 0.3983 0.65393 0.004 0.144 0.852
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 1 0.2066 0.70302 0.940 0.060 0.000
#> 57E380FC-B6AB-466F-9936-D52192888008 1 0.8113 0.50856 0.588 0.324 0.088
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 3 0.6168 0.61697 0.036 0.224 0.740
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 1 0.2165 0.70409 0.936 0.064 0.000
#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 2 0.6159 0.62645 0.048 0.756 0.196
#> 1D4F0B66-720D-484D-B8D5-2B290ED208A8 3 0.3983 0.65393 0.004 0.144 0.852
#> C886CA33-5080-4E3E-88A2-F9A3CF03A857 3 0.6128 0.61995 0.084 0.136 0.780
#> 9AC963E4-F82D-460E-9CAD-C651B879780A 2 0.7057 0.51212 0.056 0.680 0.264
#> 1B6CF403-D0AE-4FFE-A884-660A58F32660 2 0.8206 -0.08246 0.072 0.480 0.448
#> B33316E1-11FD-4C10-956A-C9C6F78508C5 1 0.5848 0.71368 0.796 0.124 0.080
#> BB02EF6A-C57D-4A79-99C1-ED43A72FFAF7 2 0.3134 0.69147 0.032 0.916 0.052
#> 4DBA59AD-9393-4BE6-88CB-852C62C4A334 3 0.2955 0.65251 0.008 0.080 0.912
#> 7887EDC4-A0D7-4E57-B3A1-330A5683457D 3 0.9736 0.29261 0.324 0.240 0.436
#> 2CD3AC14-46FB-4260-AE5C-4305C68D49BC 2 0.8312 0.27867 0.100 0.576 0.324
#> BAB8FA79-208A-488D-B955-806263E5D6BB 3 0.7517 0.42000 0.048 0.364 0.588
#> 98C990E7-7E3B-4200-A88D-E641931302EA 1 0.2749 0.70526 0.924 0.064 0.012
#> 894EE382-5ACA-4DEB-9267-99ADBEF6DA19 2 0.7920 0.22418 0.068 0.572 0.360
#> 98795F95-D26D-438A-AF46-B3BC3553F020 3 0.4891 0.65477 0.040 0.124 0.836
#> 9AD4C328-1554-4C92-931C-30CE8F305FDE 2 0.6148 0.29477 0.356 0.640 0.004
#> 4D1518D9-D968-4E7F-A702-5157A1A2E83E 1 0.7176 0.63896 0.684 0.248 0.068
#> A6E8AF8C-5D7B-4197-990B-786A869ACB96 1 0.4964 0.71162 0.836 0.116 0.048
#> DF8B4E19-8C78-4A68-8FAE-DFF01076BC97 2 0.7400 0.20897 0.036 0.552 0.412
#> 8D2C608F-3280-4CA2-B996-9AE3DBDBBD28 2 0.7366 0.11583 0.032 0.524 0.444
#> E7BCBD8D-1219-4A99-948A-47A258A5CD8B 2 0.9735 -0.01249 0.244 0.440 0.316
#> 2C9633A5-8ACB-4D16-8120-F098BA14BB04 2 0.2056 0.69048 0.024 0.952 0.024
#> 985D9304-E4DA-4038-B235-067CBFEAC902 2 0.1267 0.67924 0.024 0.972 0.004
#> D34CE243-6F4F-4158-9FC4-77E1640E8A91 2 0.1031 0.67714 0.024 0.976 0.000
#> 65131575-48D3-42C2-B411-3DB871EF5EE1 3 0.9900 0.32120 0.292 0.304 0.404
#> 1AE13DFA-670C-43EE-9898-8FA831AEDDB3 3 0.3267 0.65263 0.000 0.116 0.884
#> 3ACDCD29-1B8D-455D-9EE9-D6C903B16D09 3 0.9736 0.29415 0.324 0.240 0.436
#> C6FBC35B-0113-4F00-BE1A-831D2C551055 1 0.9228 0.11317 0.432 0.152 0.416
#> A8F3285D-A85E-4E73-9D20-9D14AA51916B 3 0.2878 0.65056 0.000 0.096 0.904
#> 51601A73-2D75-4056-AEBB-8FF8DB813450 3 0.3155 0.62401 0.044 0.040 0.916
#> 75021778-A96B-4F57-8C26-68E8F33D7EB7 2 0.8393 0.06339 0.088 0.516 0.396
#> 71FFB439-22A1-4EBB-AEA6-A6BCA8CA6648 3 0.5662 0.64646 0.100 0.092 0.808
#> BEDB0135-0A26-44EF-9028-C4907403B110 3 0.5393 0.66656 0.072 0.108 0.820
#> 3B8BA56B-0E7B-4754-8729-8D613D0484E1 1 0.2599 0.69860 0.932 0.052 0.016
#> 100BF963-6103-45E6-A760-E44649580CF5 3 0.9715 0.23802 0.220 0.380 0.400
#> C26F21EA-5911-483F-BF64-03904BF93A20 2 0.8345 0.50222 0.172 0.628 0.200
#> 9E50162D-8149-41D2-86C1-1C892EB98DFA 3 0.9757 0.36901 0.288 0.268 0.444
#> 09521B29-B002-4AAD-93F1-6E600DD31515 2 0.4196 0.67838 0.024 0.864 0.112
#> 45FD44A6-7976-4453-BD3F-99D21DA3ECC2 1 0.6798 0.45916 0.584 0.016 0.400
#> 9EE0976F-1422-4F65-8837-93A192984CDF 3 0.3856 0.61924 0.072 0.040 0.888
#> 2FBAA1AA-39F7-4C58-A7DA-76B1F4B26B2E 2 0.1031 0.67714 0.024 0.976 0.000
#> B7A695A4-0B74-41E9-8662-4010C8CA38F0 3 0.9736 0.29415 0.324 0.240 0.436
#> E9013476-D037-41EA-921E-E9E62E93B75C 1 0.5811 0.71726 0.800 0.092 0.108
#> 13FD88E9-3B06-4CB6-949F-395DDDE4B75B 2 0.7222 0.55941 0.084 0.696 0.220
#> 9103E60E-D1FC-4F0F-B2CD-751921E14EBA 3 0.4443 0.61849 0.084 0.052 0.864
#> 4AEFB9F1-A55D-472E-A963-5BB3364D9D8C 2 0.5147 0.64899 0.020 0.800 0.180
#> 05B80211-2230-436E-BA34-FD48337A5DE0 2 0.4217 0.68734 0.100 0.868 0.032
#> 6B206166-85BC-4A1A-BDD2-B249652FC09E 1 0.8138 0.57383 0.644 0.152 0.204
#> 3EA60F08-5232-4A97-A656-2A0A2F5CED07 3 0.6796 0.38278 0.020 0.368 0.612
#> 9C55C086-682B-4D21-9C77-085CFE45A07E 1 0.9823 0.04311 0.412 0.252 0.336
#> B0CE5521-96E9-4087-89EE-309D785C0F96 2 0.6016 0.55495 0.020 0.724 0.256
#> 6BF76FE6-F1DA-48F2-B55D-CB106905EA8F 2 0.6849 0.33225 0.020 0.600 0.380
#> D2ECDADA-9D0D-4044-8C61-353CCE45C0E6 2 0.9574 0.05608 0.220 0.468 0.312
#> 9565D04D-EC61-4EF8-8519-0D84CFB0C794 2 0.1905 0.69082 0.028 0.956 0.016
#> EBAFE057-B387-4D2B-8D91-25C83221816D 2 0.7372 0.55121 0.092 0.688 0.220
#> 2CDB897D-ABAF-4EBB-837C-05CC7691D20E 3 0.9841 0.22038 0.348 0.252 0.400
#> FD2F4E8A-F89C-4016-B275-13FC6B4121E9 2 0.5678 0.62711 0.032 0.776 0.192
#> 1E27DDFF-D487-4CBF-80BC-506CC7C7C74D 3 0.7442 0.42580 0.044 0.368 0.588
#> 1DD990EF-74A8-4503-B801-C01D6C171E2E 2 0.2414 0.69068 0.040 0.940 0.020
#> 4D2DF3FF-343A-4D29-9230-015131B45BD2 2 0.2793 0.69119 0.028 0.928 0.044
#> B9949248-D762-4591-B8D6-C296C2B28D8C 2 0.6632 0.28882 0.012 0.596 0.392
#> 2D839843-4C8D-400D-8EFF-2BF9B94A27AA 3 0.9410 0.38572 0.276 0.220 0.504
#> 78C429CC-D631-43EA-9049-DAC326C98BDD 2 0.7031 0.59410 0.088 0.716 0.196
#> 71241674-DF93-4CA0-A81D-AF85B6479F62 3 0.7660 0.49897 0.064 0.324 0.612
#> 76277FC9-E447-49A4-9407-81917C90ECBD 2 0.9547 0.13902 0.228 0.480 0.292
#> 79DE0216-2CBB-4057-AC90-0366A494F106 1 0.7091 0.63311 0.688 0.248 0.064
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#> 950933A3-5757-4914-9DC5-C220C2A455FD 3 0.2772 0.64924 0.004 0.080 0.916
#> DBDFE95C-F941-407A-BE7D-D43D50143C4D 2 0.2651 0.68368 0.060 0.928 0.012
#> D024393C-29D0-41C4-AB86-7E94581FDD26 3 0.7328 0.46680 0.044 0.344 0.612
#> 4975AB35-93E5-400D-A429-CEA81BA89FFE 1 0.7666 0.66790 0.684 0.148 0.168
#> 666ADCA2-1AE4-4843-B1C8-8EE29C44AE74 1 0.9367 0.30691 0.504 0.204 0.292
#> A8F79C08-3943-4707-ADCB-890A955B5394 2 0.3253 0.69563 0.052 0.912 0.036
#> A81614ED-14CB-4EBC-988E-F67FBCBF62D8 2 0.5253 0.59327 0.188 0.792 0.020
#> E27E65C8-5B57-4C91-9D20-C075AEA2F2C5 1 0.7525 0.61168 0.676 0.228 0.096
#> 745F18CA-080D-42FE-BAA6-89AD7E3D3408 2 0.5637 0.64446 0.040 0.788 0.172
#> E755A625-799D-4A39-9D56-080228E0B669 2 0.6761 0.55918 0.252 0.700 0.048
#> 3D94EFB8-94D4-4FDE-97D8-18A159279996 3 0.9514 0.15269 0.328 0.204 0.468
#> 3D305C2E-6C86-4684-AA2A-155291AB4CC3 1 0.2384 0.70380 0.936 0.056 0.008
#> E140052A-5434-4C44-9873-0318D1D272CA 2 0.1267 0.68187 0.024 0.972 0.004
#> 68E56692-D46D-4A27-86CD-717E10AADDDA 3 0.2625 0.64898 0.000 0.084 0.916
#> 00A0586E-5F05-47B3-925C-87E811B0893B 3 0.3983 0.62835 0.068 0.048 0.884
#> E2B019A7-7C95-40FE-800C-D30E9730825C 1 0.8745 0.36704 0.524 0.120 0.356
#> 1B9ABB69-5CC6-4B6B-ABBC-71CC3274C7F0 1 0.8290 0.56179 0.632 0.164 0.204
#> FAE396AA-3C3C-4AF9-953D-385C41B2DB5B 1 0.9182 0.37042 0.536 0.204 0.260
#> 6BE4397D-1E5B-4486-83B4-EE0EC146C805 2 0.3039 0.69410 0.036 0.920 0.044
#> EE38BD4E-5A08-4639-912F-04203F53762F 1 0.6803 0.59222 0.680 0.280 0.040
#> 4050E7F8-80B6-46F2-8FF0-D4EC313E975B 3 0.8285 0.53080 0.112 0.288 0.600
#> F3565161-FFBE-4138-9773-558DB386710C 1 0.2165 0.70409 0.936 0.064 0.000
#> BA9ABEB1-D3F0-4F09-A647-25211C47C3D0 2 0.1031 0.67714 0.024 0.976 0.000
#> 9E41E79A-4028-4F60-8250-411F191B665C 1 0.2400 0.70251 0.932 0.064 0.004
#> 5F1D3EFD-ECDA-4C92-8D81-491484F09C95 3 0.1860 0.57770 0.052 0.000 0.948
#> 0DBA04CB-417D-4E2B-BE83-3563F45291C4 2 0.7895 0.03107 0.436 0.508 0.056
#> B9B882A5-194B-4F5C-B702-0CF71CA6D9D2 2 0.6424 0.62725 0.068 0.752 0.180
#> 67FE7638-B8F5-4631-B178-AC23B0382983 1 0.4172 0.71598 0.868 0.104 0.028
#> FE03FC2C-9A4E-4F89-8681-E33DFECCC692 2 0.5659 0.66249 0.152 0.796 0.052
#> 2B22B4B7-8A39-435C-BE3B-86FA84C8F941 2 0.6292 0.61003 0.044 0.740 0.216
#> 00844B35-C108-4AEC-A687-4A91A2F33E6D 1 0.2066 0.70302 0.940 0.060 0.000
#> C221EE7A-6343-4B6D-B322-0A2C0F0B29AF 1 0.2066 0.70302 0.940 0.060 0.000
#> B28A6D56-7654-4829-BF1F-657C3C2C10D8 1 0.8408 0.58409 0.616 0.152 0.232
#> F4C7BCEC-3CD4-4D9A-89EA-0ED58EA0DCFE 1 0.8484 0.53579 0.616 0.196 0.188
#> F06FBFAB-D143-47AE-BEE7-51B48164764F 1 0.9424 0.39647 0.504 0.228 0.268
#> 525F522B-E865-4479-AE65-510903ABF46F 2 0.6565 0.58271 0.048 0.720 0.232
#> F0CB60E3-C412-46A2-918F-8C5C099AB224 3 0.9900 0.32120 0.292 0.304 0.404
#> 587F307F-6E1B-487E-8E47-A99AB43DC5B4 3 0.3780 0.62506 0.064 0.044 0.892
#> 883D9145-8414-4571-A3E1-516F03452C46 1 0.9243 0.45458 0.532 0.236 0.232
#> 4A917271-7EA0-4F43-B474-7F5EA756EB05 2 0.6247 0.24660 0.376 0.620 0.004
#> BB33015D-218C-4A1E-8839-95837D6E9B88 1 0.7451 0.64730 0.700 0.144 0.156
#> 021CC81F-710D-4EEA-B1D8-012A81715ACC 1 0.9527 0.15801 0.464 0.204 0.332
#> B00C4925-47E3-4442-ABEB-82D714A26587 3 0.8423 0.58052 0.156 0.228 0.616
#> F79B27D3-0426-47BB-9756-7E0759246E5E 2 0.2550 0.69055 0.024 0.936 0.040
#> 1F179559-D93E-491C-B499-64F86C31DAE0 3 0.5393 0.66656 0.072 0.108 0.820
#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 3 0.5863 0.66892 0.084 0.120 0.796
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 1 0.5826 0.65205 0.764 0.032 0.204
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 1 0.7056 0.42738 0.572 0.024 0.404
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 2 0.2414 0.69068 0.040 0.940 0.020
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 2 0.9498 0.05013 0.356 0.452 0.192
#> ED9794C0-AC60-4B54-8214-D26714871BBF 1 0.3415 0.70125 0.900 0.080 0.020
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 2 0.8261 0.23391 0.092 0.568 0.340
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 2 0.1031 0.67714 0.024 0.976 0.000
#> 18D816AF-394A-482F-B22E-896A43B1E481 2 0.2031 0.68841 0.032 0.952 0.016
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 1 0.9663 0.21095 0.464 0.256 0.280
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 3 0.2625 0.64898 0.000 0.084 0.916
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 2 0.3886 0.68314 0.024 0.880 0.096
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 3 0.5722 0.66895 0.068 0.132 0.800
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 3 0.9501 0.30451 0.324 0.204 0.472
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 2 0.6723 0.58815 0.064 0.724 0.212
#> 7E809698-2473-4EFE-B896-1637983EC596 2 0.7782 0.50684 0.100 0.652 0.248
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 3 0.3850 0.66458 0.028 0.088 0.884
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 3 0.3181 0.64835 0.024 0.064 0.912
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 2 0.5269 0.63167 0.016 0.784 0.200
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.4165 0.70822 0.876 0.076 0.048
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.2749 0.70526 0.924 0.064 0.012
#> 73F28A79-7D35-4FE9-849D-FFE681483928 3 0.8614 0.01768 0.416 0.100 0.484
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 1 0.6148 0.70466 0.776 0.148 0.076
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 3 0.3610 0.66103 0.016 0.096 0.888
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 1 0.5746 0.66023 0.780 0.040 0.180
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.2636 0.68980 0.020 0.932 0.048
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.2066 0.70029 0.940 0.060 0.000
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 1 0.8138 0.57383 0.644 0.152 0.204
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 1 0.6462 0.70772 0.764 0.116 0.120
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 3 0.9777 0.10969 0.324 0.248 0.428
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.3590 0.65246 0.028 0.076 0.896
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.2165 0.70045 0.936 0.064 0.000
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.4342 0.67987 0.120 0.856 0.024
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 2 0.8743 -0.13765 0.108 0.452 0.440
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.3530 0.69146 0.032 0.900 0.068
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 2 0.4874 0.66398 0.028 0.828 0.144
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 2 0.8277 -0.17664 0.076 0.468 0.456
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 2 0.9559 0.06765 0.220 0.472 0.308
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 2 0.7601 0.10484 0.044 0.540 0.416
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.2749 0.70526 0.924 0.064 0.012
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.1860 0.57770 0.052 0.000 0.948
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.5292 0.65439 0.800 0.028 0.172
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.2448 0.70618 0.924 0.076 0.000
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.5236 0.65446 0.804 0.028 0.168
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.1751 0.68602 0.028 0.960 0.012
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 3 0.6792 0.63309 0.132 0.124 0.744
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.6243 0.70441 0.776 0.100 0.124
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 1 0.9199 0.36281 0.504 0.328 0.168
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.5094 0.70999 0.824 0.136 0.040
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 3 0.7842 0.49590 0.072 0.328 0.600
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 2 0.6000 0.61111 0.040 0.760 0.200
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 2 0.9245 0.15872 0.176 0.504 0.320
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 3 0.6662 0.58653 0.044 0.252 0.704
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 3 0.4261 0.65697 0.012 0.140 0.848
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 3 0.7683 0.55451 0.080 0.280 0.640
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.5239 0.66142 0.808 0.032 0.160
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.5689 0.65793 0.780 0.036 0.184
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 3 0.9680 0.35177 0.300 0.244 0.456
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.5355 0.63847 0.032 0.800 0.168
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.5355 0.63847 0.032 0.800 0.168
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 3 0.7597 0.38923 0.048 0.384 0.568
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.6796 0.38278 0.020 0.368 0.612
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.1399 0.68008 0.028 0.968 0.004
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 3 0.7289 0.17320 0.028 0.468 0.504
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 3 0.7969 0.35238 0.064 0.396 0.540
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.7915 0.03562 0.056 0.456 0.488
#> CA356591-D24F-41A8-8C9A-1178C7781510 3 0.6448 0.47413 0.012 0.352 0.636
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.3797 0.64017 0.052 0.056 0.892
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.1860 0.70026 0.948 0.052 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 3 0.6380 0.421839 0.012 0.300 0.624 0.064
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.6677 0.212776 0.000 0.364 0.540 0.096
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 3 0.7669 0.203530 0.044 0.384 0.488 0.084
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.1209 0.684782 0.004 0.964 0.000 0.032
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 3 0.7639 0.468717 0.080 0.256 0.588 0.076
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 2 0.7501 -0.028788 0.436 0.448 0.032 0.084
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 3 0.6671 0.259482 0.012 0.372 0.552 0.064
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 2 0.7784 0.112395 0.056 0.468 0.400 0.076
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.3025 0.700901 0.016 0.900 0.060 0.024
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.1739 0.693341 0.008 0.952 0.016 0.024
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.5951 0.629402 0.140 0.744 0.052 0.064
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.4413 0.328365 0.028 0.012 0.808 0.152
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.7817 -0.068251 0.452 0.100 0.040 0.408
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.2405 0.701098 0.020 0.928 0.036 0.016
#> ECB2DF14-CF68-44D4-8719-973AE448B992 1 0.9340 0.086569 0.420 0.204 0.252 0.124
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 2 0.8355 0.096025 0.100 0.456 0.364 0.080
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 3 0.6853 -0.232969 0.120 0.004 0.584 0.292
#> 3282F146-2782-4877-9EFE-6020AC277A8C 3 0.7118 0.284125 0.020 0.356 0.540 0.084
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 3 0.9458 0.265007 0.252 0.156 0.412 0.180
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 2 0.6903 0.560420 0.208 0.656 0.096 0.040
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.2716 0.700080 0.008 0.912 0.052 0.028
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 3 0.9117 0.076193 0.316 0.112 0.416 0.156
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.0967 0.689007 0.004 0.976 0.004 0.016
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 1 0.5796 0.196505 0.672 0.004 0.056 0.268
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 3 0.7007 0.385318 0.076 0.072 0.664 0.188
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 3 0.9495 0.179060 0.284 0.148 0.388 0.180
#> C945DDA9-0194-46F4-89E2-13883284D5A4 3 0.4256 0.435103 0.020 0.048 0.840 0.092
#> 79B11925-9772-474F-A729-D00315959710 1 0.4395 0.454943 0.816 0.044 0.008 0.132
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 2 0.5009 0.646290 0.020 0.776 0.168 0.036
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 1 0.5626 0.210605 0.696 0.004 0.056 0.244
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 3 0.9511 0.212839 0.292 0.148 0.380 0.180
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.6290 0.392423 0.728 0.056 0.096 0.120
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.6284 0.596664 0.048 0.704 0.192 0.056
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 1 0.7119 0.088337 0.600 0.028 0.096 0.276
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.5740 0.273584 0.056 0.028 0.736 0.180
#> 26796E5F-C0C2-466C-9012-882F6D29C149 3 0.8161 0.335305 0.096 0.324 0.504 0.076
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 0.5445 0.227913 0.708 0.004 0.048 0.240
#> 1492D21A-6458-4B49-B530-7A327FCDD031 1 0.6109 0.408262 0.744 0.072 0.104 0.080
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 3 0.9711 0.259646 0.220 0.300 0.328 0.152
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 3 0.9412 0.303471 0.252 0.272 0.372 0.104
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.8050 0.290260 0.596 0.136 0.152 0.116
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 3 0.9691 0.090082 0.272 0.200 0.360 0.168
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.1762 0.697739 0.016 0.952 0.020 0.012
#> E846120D-D9E6-46F8-9647-2272AB064072 1 0.5619 0.155210 0.640 0.000 0.040 0.320
#> 36880C8C-91A9-49A9-A2D5-957161737F31 2 0.7468 0.169314 0.228 0.504 0.000 0.268
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.0967 0.688407 0.004 0.976 0.004 0.016
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 2 0.4860 0.618116 0.184 0.768 0.004 0.044
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 1 0.5640 0.210278 0.688 0.004 0.052 0.256
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 1 0.7332 0.300169 0.644 0.080 0.184 0.092
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 2 0.4854 0.637638 0.152 0.788 0.012 0.048
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 3 0.2958 0.410868 0.004 0.028 0.896 0.072
#> 116F3F29-AB89-4F00-9003-559041E285EB 3 0.6992 0.170051 0.020 0.396 0.516 0.068
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#> 7E809698-2473-4EFE-B896-1637983EC596 2 0.7538 0.488395 0.080 0.604 0.240 0.076
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 3 0.3942 0.383491 0.016 0.028 0.848 0.108
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 3 0.4100 0.297110 0.012 0.016 0.820 0.152
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 2 0.4720 0.648617 0.004 0.768 0.196 0.032
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.4295 0.350981 0.752 0.008 0.000 0.240
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.3455 0.425448 0.852 0.012 0.004 0.132
#> 73F28A79-7D35-4FE9-849D-FFE681483928 1 0.8926 -0.165488 0.376 0.056 0.328 0.240
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 1 0.6105 0.420665 0.732 0.072 0.048 0.148
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 3 0.2958 0.410868 0.004 0.028 0.896 0.072
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 1 0.5781 0.226570 0.708 0.008 0.072 0.212
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.2594 0.697674 0.004 0.916 0.044 0.036
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.3105 0.423311 0.868 0.012 0.000 0.120
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 1 0.7703 0.321508 0.624 0.092 0.148 0.136
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 1 0.5525 0.416000 0.780 0.060 0.072 0.088
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 3 0.9843 -0.300886 0.300 0.200 0.304 0.196
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.4693 0.294942 0.012 0.032 0.788 0.168
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.3161 0.421390 0.864 0.012 0.000 0.124
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.3591 0.687016 0.080 0.872 0.016 0.032
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 3 0.8740 0.157336 0.080 0.384 0.396 0.140
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.3120 0.699059 0.012 0.896 0.056 0.036
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 2 0.4673 0.664584 0.016 0.796 0.156 0.032
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 3 0.7940 0.199954 0.072 0.384 0.472 0.072
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 2 0.9230 -0.015333 0.208 0.396 0.300 0.096
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 2 0.7129 0.066645 0.024 0.476 0.432 0.068
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.3455 0.425448 0.852 0.012 0.004 0.132
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.5105 -0.156153 0.004 0.000 0.564 0.432
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.5434 0.206242 0.696 0.000 0.052 0.252
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.1520 0.461900 0.956 0.024 0.000 0.020
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.5463 0.204509 0.692 0.000 0.052 0.256
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.1139 0.693341 0.008 0.972 0.008 0.012
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 3 0.7311 0.312463 0.092 0.060 0.628 0.220
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.5530 0.413867 0.768 0.028 0.088 0.116
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 1 0.8682 0.209593 0.500 0.260 0.136 0.104
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.5064 0.438420 0.788 0.060 0.020 0.132
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 3 0.7211 0.468676 0.044 0.264 0.608 0.084
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 2 0.5774 0.599479 0.020 0.720 0.204 0.056
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 2 0.8822 0.129049 0.156 0.456 0.300 0.088
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 3 0.6113 0.488941 0.032 0.180 0.716 0.072
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 3 0.3170 0.428404 0.008 0.044 0.892 0.056
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 3 0.6950 0.473467 0.068 0.196 0.664 0.072
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.5445 0.231490 0.708 0.004 0.048 0.240
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.5723 0.204101 0.676 0.004 0.052 0.268
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 3 0.9482 0.250097 0.268 0.152 0.400 0.180
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.4866 0.647174 0.012 0.784 0.160 0.044
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.4866 0.647174 0.012 0.784 0.160 0.044
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 3 0.7136 0.389822 0.024 0.320 0.568 0.088
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.6511 0.330546 0.004 0.316 0.596 0.084
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.1229 0.687895 0.008 0.968 0.004 0.020
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 3 0.6827 0.181199 0.016 0.392 0.528 0.064
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 3 0.7155 0.358192 0.048 0.324 0.572 0.056
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 2 0.8109 0.042872 0.048 0.436 0.400 0.116
#> CA356591-D24F-41A8-8C9A-1178C7781510 3 0.6375 0.439208 0.008 0.276 0.636 0.080
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.4919 0.232543 0.028 0.008 0.752 0.212
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.1256 0.455293 0.964 0.008 0.000 0.028
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 4 0.5993 3.33e-01 0.004 0.244 0.156 0.596 0.000
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 2 0.7215 -2.42e-01 0.000 0.348 0.336 0.300 0.016
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 4 0.5949 3.70e-01 0.020 0.316 0.068 0.592 0.004
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.0671 6.67e-01 0.000 0.980 0.004 0.000 0.016
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 4 0.6767 3.63e-01 0.044 0.188 0.112 0.628 0.028
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 2 0.7828 -1.28e-01 0.380 0.404 0.016 0.108 0.092
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 4 0.5996 3.63e-01 0.000 0.296 0.128 0.572 0.004
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 4 0.6058 9.81e-02 0.020 0.404 0.044 0.520 0.012
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.2563 7.16e-01 0.008 0.872 0.000 0.120 0.000
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.1369 6.87e-01 0.000 0.956 0.008 0.028 0.008
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.6098 6.05e-01 0.120 0.696 0.032 0.120 0.032
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 4 0.5007 -5.67e-01 0.012 0.000 0.472 0.504 0.012
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 5 0.6407 1.61e-01 0.272 0.036 0.096 0.004 0.592
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.2747 7.14e-01 0.008 0.880 0.004 0.100 0.008
#> ECB2DF14-CF68-44D4-8719-973AE448B992 4 0.7976 7.61e-02 0.356 0.128 0.060 0.420 0.036
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 4 0.6481 1.29e-01 0.064 0.404 0.040 0.488 0.004
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 3 0.6691 5.57e-01 0.092 0.000 0.576 0.260 0.072
#> 3282F146-2782-4877-9EFE-6020AC277A8C 4 0.5714 3.94e-01 0.004 0.284 0.092 0.616 0.004
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 4 0.7357 3.70e-01 0.176 0.076 0.100 0.600 0.048
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 2 0.6657 5.38e-01 0.160 0.612 0.016 0.184 0.028
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.2770 7.16e-01 0.000 0.864 0.008 0.124 0.004
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 4 0.7634 2.72e-01 0.248 0.060 0.140 0.524 0.028
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.0290 6.81e-01 0.000 0.992 0.000 0.008 0.000
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 1 0.5877 3.88e-01 0.596 0.000 0.108 0.008 0.288
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 4 0.5318 -1.05e-01 0.032 0.008 0.316 0.632 0.012
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 4 0.7674 3.45e-01 0.216 0.080 0.112 0.552 0.040
#> C945DDA9-0194-46F4-89E2-13883284D5A4 4 0.4536 -2.37e-01 0.000 0.004 0.324 0.656 0.016
#> 79B11925-9772-474F-A729-D00315959710 1 0.4919 5.47e-01 0.768 0.016 0.032 0.044 0.140
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 2 0.4357 6.30e-01 0.008 0.720 0.008 0.256 0.008
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 1 0.5655 3.72e-01 0.600 0.000 0.092 0.004 0.304
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 4 0.7492 3.56e-01 0.208 0.068 0.096 0.576 0.052
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.6024 5.35e-01 0.676 0.020 0.064 0.200 0.040
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.5319 5.48e-01 0.028 0.636 0.016 0.312 0.008
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 1 0.7409 3.67e-01 0.524 0.020 0.124 0.056 0.276
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 4 0.6249 -5.43e-01 0.036 0.012 0.428 0.488 0.036
#> 26796E5F-C0C2-466C-9012-882F6D29C149 4 0.7125 4.18e-01 0.060 0.248 0.120 0.560 0.012
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 0.5509 3.81e-01 0.612 0.000 0.080 0.004 0.304
#> 1492D21A-6458-4B49-B530-7A327FCDD031 1 0.6089 5.41e-01 0.672 0.040 0.040 0.208 0.040
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 4 0.7588 4.36e-01 0.164 0.224 0.052 0.532 0.028
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 4 0.7418 4.38e-01 0.184 0.204 0.044 0.544 0.024
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.7306 4.22e-01 0.540 0.080 0.040 0.288 0.052
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 4 0.8605 2.76e-01 0.212 0.148 0.160 0.444 0.036
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.2052 7.06e-01 0.004 0.912 0.000 0.080 0.004
#> E846120D-D9E6-46F8-9647-2272AB064072 1 0.5874 2.98e-01 0.528 0.000 0.108 0.000 0.364
#> 36880C8C-91A9-49A9-A2D5-957161737F31 5 0.6368 7.79e-01 0.092 0.328 0.032 0.000 0.548
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.0451 6.79e-01 0.000 0.988 0.000 0.008 0.004
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 2 0.5040 5.49e-01 0.172 0.744 0.012 0.048 0.024
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 1 0.5790 3.95e-01 0.604 0.000 0.100 0.008 0.288
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 1 0.6863 4.20e-01 0.568 0.040 0.076 0.288 0.028
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 2 0.5208 5.70e-01 0.136 0.752 0.012 0.052 0.048
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 4 0.4804 -3.44e-01 0.000 0.008 0.364 0.612 0.016
#> 116F3F29-AB89-4F00-9003-559041E285EB 4 0.6283 3.15e-01 0.008 0.320 0.100 0.560 0.012
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 5 0.6186 6.65e-01 0.052 0.412 0.040 0.000 0.496
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 4 0.7501 3.55e-01 0.236 0.064 0.104 0.556 0.040
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 2 0.5584 4.00e-01 0.012 0.572 0.036 0.372 0.008
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 4 0.7308 4.15e-01 0.116 0.144 0.096 0.608 0.036
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 1 0.4589 3.79e-01 0.660 0.020 0.000 0.004 0.316
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 2 0.4667 6.43e-01 0.012 0.708 0.016 0.256 0.008
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 2 0.5934 6.27e-01 0.024 0.684 0.080 0.188 0.024
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.3300 4.77e-01 0.792 0.000 0.000 0.004 0.204
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 4 0.5341 -4.98e-01 0.016 0.008 0.452 0.512 0.012
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.0771 6.66e-01 0.000 0.976 0.004 0.000 0.020
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 4 0.5449 -3.94e-01 0.016 0.012 0.396 0.560 0.016
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 1 0.9450 1.30e-01 0.372 0.164 0.148 0.120 0.196
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 4 0.7567 3.86e-01 0.084 0.284 0.080 0.520 0.032
#> CD576099-5450-4232-9B59-08341BED8FFA 4 0.6572 7.98e-02 0.036 0.424 0.052 0.472 0.016
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 2 0.4778 6.09e-01 0.012 0.676 0.012 0.292 0.008
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 1 0.3167 4.96e-01 0.820 0.000 0.004 0.004 0.172
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 1 0.3001 5.05e-01 0.844 0.000 0.008 0.004 0.144
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 2 0.3909 6.97e-01 0.012 0.796 0.012 0.172 0.008
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 4 0.6072 3.88e-01 0.024 0.168 0.112 0.676 0.020
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 4 0.5463 -3.18e-01 0.004 0.036 0.340 0.604 0.016
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 1 0.1988 5.36e-01 0.928 0.000 0.008 0.016 0.048
#> 57E380FC-B6AB-466F-9936-D52192888008 1 0.7617 3.53e-01 0.536 0.208 0.024 0.168 0.064
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 4 0.5738 1.57e-01 0.008 0.080 0.224 0.668 0.020
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 1 0.2359 5.36e-01 0.912 0.004 0.008 0.016 0.060
#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 2 0.5374 6.10e-01 0.016 0.664 0.036 0.272 0.012
#> 1D4F0B66-720D-484D-B8D5-2B290ED208A8 4 0.5463 -3.18e-01 0.004 0.036 0.340 0.604 0.016
#> C886CA33-5080-4E3E-88A2-F9A3CF03A857 3 0.7360 5.86e-01 0.032 0.084 0.500 0.332 0.052
#> 9AC963E4-F82D-460E-9CAD-C651B879780A 2 0.5716 4.48e-01 0.024 0.584 0.032 0.352 0.008
#> 1B6CF403-D0AE-4FFE-A884-660A58F32660 4 0.6729 2.53e-01 0.028 0.340 0.080 0.532 0.020
#> B33316E1-11FD-4C10-956A-C9C6F78508C5 1 0.5464 5.61e-01 0.748 0.036 0.028 0.108 0.080
#> BB02EF6A-C57D-4A79-99C1-ED43A72FFAF7 2 0.2787 7.10e-01 0.004 0.856 0.000 0.136 0.004
#> 4DBA59AD-9393-4BE6-88CB-852C62C4A334 4 0.4658 -4.29e-01 0.000 0.000 0.408 0.576 0.016
#> 7887EDC4-A0D7-4E57-B3A1-330A5683457D 4 0.7472 3.52e-01 0.212 0.068 0.092 0.576 0.052
#> 2CD3AC14-46FB-4260-AE5C-4305C68D49BC 4 0.6660 3.39e-02 0.040 0.424 0.048 0.468 0.020
#> BAB8FA79-208A-488D-B955-806263E5D6BB 4 0.5918 3.86e-01 0.008 0.228 0.108 0.644 0.012
#> 98C990E7-7E3B-4200-A88D-E641931302EA 1 0.3365 4.90e-01 0.808 0.000 0.008 0.004 0.180
#> 894EE382-5ACA-4DEB-9267-99ADBEF6DA19 4 0.5766 7.57e-02 0.016 0.416 0.036 0.524 0.008
#> 98795F95-D26D-438A-AF46-B3BC3553F020 3 0.6270 5.86e-01 0.004 0.056 0.480 0.428 0.032
#> 9AD4C328-1554-4C92-931C-30CE8F305FDE 5 0.6399 7.81e-01 0.096 0.324 0.032 0.000 0.548
#> 4D1518D9-D968-4E7F-A702-5157A1A2E83E 1 0.7123 4.53e-01 0.616 0.144 0.024 0.120 0.096
#> A6E8AF8C-5D7B-4197-990B-786A869ACB96 1 0.4710 5.63e-01 0.788 0.020 0.028 0.120 0.044
#> DF8B4E19-8C78-4A68-8FAE-DFF01076BC97 2 0.7454 3.19e-01 0.024 0.512 0.248 0.184 0.032
#> 8D2C608F-3280-4CA2-B996-9AE3DBDBBD28 2 0.6805 2.38e-01 0.000 0.464 0.176 0.344 0.016
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#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.3616 6.80e-01 0.064 0.856 0.012 0.052 0.016
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 4 0.6569 3.46e-01 0.044 0.308 0.068 0.568 0.012
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.3189 7.06e-01 0.008 0.872 0.028 0.080 0.012
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 2 0.4083 6.58e-01 0.008 0.728 0.008 0.256 0.000
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 4 0.6337 3.73e-01 0.048 0.312 0.072 0.568 0.000
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 4 0.7494 2.59e-01 0.148 0.336 0.048 0.456 0.012
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 4 0.5954 1.50e-01 0.012 0.400 0.056 0.524 0.008
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.3365 4.90e-01 0.808 0.000 0.008 0.004 0.180
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.4364 4.81e-01 0.000 0.000 0.768 0.120 0.112
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.5551 3.71e-01 0.600 0.000 0.096 0.000 0.304
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.2700 5.34e-01 0.900 0.016 0.008 0.016 0.060
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.5507 3.65e-01 0.596 0.000 0.088 0.000 0.316
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.1041 6.93e-01 0.004 0.964 0.000 0.032 0.000
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 4 0.6450 -1.74e-01 0.056 0.016 0.356 0.540 0.032
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.5357 5.58e-01 0.744 0.012 0.036 0.116 0.092
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 1 0.8000 1.59e-01 0.436 0.192 0.036 0.296 0.040
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.5490 5.10e-01 0.724 0.040 0.024 0.040 0.172
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 4 0.6480 3.52e-01 0.028 0.196 0.152 0.616 0.008
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 2 0.4704 5.58e-01 0.008 0.656 0.008 0.320 0.008
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 4 0.7250 8.98e-02 0.124 0.392 0.024 0.436 0.024
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 4 0.5291 2.60e-01 0.004 0.108 0.152 0.720 0.016
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 4 0.5259 -3.44e-01 0.000 0.024 0.340 0.612 0.024
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 4 0.6589 3.36e-01 0.040 0.136 0.164 0.640 0.020
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.5491 3.85e-01 0.616 0.000 0.080 0.004 0.300
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.5919 3.80e-01 0.580 0.000 0.104 0.008 0.308
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 4 0.7394 3.68e-01 0.188 0.072 0.100 0.592 0.048
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.4804 6.67e-01 0.000 0.756 0.072 0.148 0.024
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.4804 6.67e-01 0.000 0.756 0.072 0.148 0.024
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 4 0.6003 3.59e-01 0.000 0.252 0.152 0.592 0.004
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 4 0.7318 -9.60e-02 0.000 0.292 0.268 0.412 0.028
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.0486 6.77e-01 0.004 0.988 0.000 0.004 0.004
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 4 0.6226 3.23e-01 0.008 0.316 0.096 0.568 0.012
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 4 0.6554 3.94e-01 0.024 0.268 0.112 0.584 0.012
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 2 0.8092 9.44e-02 0.036 0.412 0.304 0.208 0.040
#> CA356591-D24F-41A8-8C9A-1178C7781510 4 0.6015 3.07e-01 0.000 0.212 0.156 0.620 0.012
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.5035 6.27e-01 0.020 0.000 0.548 0.424 0.008
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.2050 5.33e-01 0.920 0.000 0.008 0.008 0.064
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 3 0.620 0.36590 0.000 0.236 0.576 0.032 0.140 0.016
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.617 0.23995 0.004 0.344 0.520 0.092 0.020 0.020
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 3 0.678 0.13153 0.000 0.328 0.400 0.024 0.236 0.012
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.164 0.67332 0.000 0.924 0.000 0.008 0.000 0.068
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 3 0.702 0.25279 0.004 0.188 0.444 0.048 0.304 0.012
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 2 0.795 -0.12528 0.240 0.380 0.008 0.024 0.236 0.112
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 3 0.663 0.30900 0.000 0.284 0.492 0.032 0.176 0.016
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 2 0.668 0.15888 0.000 0.416 0.268 0.028 0.284 0.004
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.260 0.72051 0.000 0.896 0.032 0.012 0.044 0.016
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.207 0.69015 0.000 0.912 0.016 0.004 0.004 0.064
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.583 0.62204 0.056 0.692 0.028 0.028 0.148 0.048
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.491 0.28269 0.000 0.000 0.672 0.160 0.164 0.004
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 6 0.621 0.01444 0.388 0.004 0.004 0.168 0.008 0.428
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.267 0.71754 0.004 0.892 0.028 0.004 0.052 0.020
#> ECB2DF14-CF68-44D4-8719-973AE448B992 5 0.685 0.54993 0.168 0.132 0.080 0.036 0.580 0.004
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 2 0.731 0.10542 0.016 0.408 0.244 0.032 0.284 0.016
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 3 0.733 -0.36508 0.084 0.000 0.412 0.320 0.164 0.020
#> 3282F146-2782-4877-9EFE-6020AC277A8C 3 0.701 0.25397 0.000 0.276 0.456 0.052 0.200 0.016
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 5 0.492 0.45599 0.004 0.068 0.176 0.040 0.712 0.000
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 2 0.597 0.53967 0.080 0.620 0.036 0.004 0.236 0.024
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.317 0.71777 0.000 0.864 0.056 0.012 0.044 0.024
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 5 0.735 0.39520 0.100 0.052 0.252 0.072 0.512 0.012
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.128 0.68482 0.000 0.944 0.004 0.000 0.000 0.052
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 1 0.469 0.55362 0.704 0.000 0.000 0.212 0.052 0.032
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 3 0.607 0.28800 0.004 0.008 0.476 0.148 0.360 0.004
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 5 0.585 0.47254 0.040 0.068 0.172 0.056 0.664 0.000
#> C945DDA9-0194-46F4-89E2-13883284D5A4 3 0.464 0.40602 0.000 0.004 0.716 0.096 0.176 0.008
#> 79B11925-9772-474F-A729-D00315959710 1 0.491 0.61139 0.704 0.008 0.000 0.032 0.200 0.056
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 2 0.449 0.66291 0.000 0.748 0.112 0.016 0.120 0.004
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 1 0.417 0.54849 0.744 0.000 0.000 0.196 0.020 0.040
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 5 0.480 0.48421 0.012 0.064 0.144 0.040 0.740 0.000
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 5 0.570 -0.05754 0.396 0.004 0.008 0.056 0.512 0.024
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.515 0.60879 0.000 0.660 0.096 0.016 0.224 0.004
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 1 0.584 0.53134 0.652 0.020 0.028 0.216 0.060 0.024
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.618 0.20301 0.020 0.012 0.576 0.196 0.192 0.004
#> 26796E5F-C0C2-466C-9012-882F6D29C149 5 0.672 -0.04988 0.000 0.256 0.332 0.028 0.380 0.004
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 0.387 0.55361 0.764 0.000 0.000 0.188 0.012 0.036
#> 1492D21A-6458-4B49-B530-7A327FCDD031 5 0.595 -0.06314 0.436 0.036 0.012 0.032 0.468 0.016
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 5 0.640 0.42054 0.032 0.208 0.136 0.024 0.592 0.008
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 5 0.625 0.38239 0.024 0.196 0.192 0.012 0.572 0.004
#> B823982D-4102-4D21-B9CB-8C42830784F4 5 0.732 0.29159 0.292 0.072 0.060 0.032 0.500 0.044
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 5 0.823 0.35725 0.112 0.152 0.168 0.084 0.464 0.020
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.166 0.71057 0.000 0.936 0.012 0.004 0.044 0.004
#> E846120D-D9E6-46F8-9647-2272AB064072 1 0.515 0.47801 0.668 0.000 0.004 0.188 0.012 0.128
#> 36880C8C-91A9-49A9-A2D5-957161737F31 6 0.328 0.82403 0.032 0.152 0.000 0.000 0.004 0.812
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.135 0.68349 0.000 0.940 0.004 0.000 0.000 0.056
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 2 0.521 0.59756 0.080 0.724 0.004 0.012 0.120 0.060
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 1 0.469 0.56018 0.708 0.000 0.000 0.204 0.056 0.032
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 5 0.657 0.27888 0.320 0.036 0.072 0.028 0.528 0.016
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 2 0.531 0.60621 0.068 0.720 0.008 0.008 0.104 0.092
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 3 0.316 0.38435 0.000 0.000 0.840 0.104 0.048 0.008
#> 116F3F29-AB89-4F00-9003-559041E285EB 3 0.694 0.18046 0.000 0.320 0.400 0.036 0.232 0.012
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 6 0.341 0.72686 0.004 0.212 0.000 0.008 0.004 0.772
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 5 0.633 0.46814 0.060 0.060 0.200 0.040 0.628 0.012
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 2 0.582 0.50373 0.000 0.588 0.204 0.012 0.188 0.008
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 5 0.613 0.37835 0.012 0.140 0.196 0.048 0.604 0.000
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 1 0.455 0.54917 0.716 0.000 0.000 0.024 0.056 0.204
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 2 0.477 0.66950 0.004 0.728 0.084 0.020 0.160 0.004
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 2 0.580 0.63752 0.012 0.684 0.128 0.024 0.112 0.040
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.347 0.62381 0.816 0.000 0.000 0.004 0.084 0.096
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 3 0.493 0.33641 0.000 0.004 0.664 0.132 0.200 0.000
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.170 0.67217 0.000 0.920 0.000 0.008 0.000 0.072
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 3 0.536 0.36288 0.012 0.008 0.632 0.104 0.244 0.000
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 1 0.870 0.21237 0.416 0.168 0.084 0.172 0.120 0.040
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 5 0.735 0.06646 0.020 0.288 0.284 0.024 0.368 0.016
#> CD576099-5450-4232-9B59-08341BED8FFA 2 0.643 0.17639 0.000 0.436 0.220 0.012 0.324 0.008
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 2 0.515 0.64867 0.000 0.696 0.128 0.024 0.144 0.008
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 1 0.384 0.63568 0.796 0.000 0.000 0.016 0.112 0.076
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 1 0.355 0.64756 0.824 0.000 0.000 0.028 0.100 0.048
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 2 0.349 0.70845 0.000 0.828 0.048 0.016 0.104 0.004
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 3 0.674 0.25841 0.000 0.160 0.504 0.044 0.272 0.020
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 3 0.341 0.43989 0.000 0.028 0.840 0.040 0.088 0.004
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 1 0.450 0.59397 0.728 0.000 0.000 0.040 0.192 0.040
#> 57E380FC-B6AB-466F-9936-D52192888008 5 0.774 0.17593 0.328 0.184 0.016 0.028 0.380 0.064
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 3 0.567 0.45166 0.000 0.080 0.672 0.084 0.152 0.012
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 1 0.480 0.59029 0.708 0.000 0.000 0.048 0.192 0.052
#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 2 0.545 0.64413 0.000 0.660 0.128 0.012 0.180 0.020
#> 1D4F0B66-720D-484D-B8D5-2B290ED208A8 3 0.341 0.43989 0.000 0.028 0.840 0.040 0.088 0.004
#> C886CA33-5080-4E3E-88A2-F9A3CF03A857 3 0.719 0.06830 0.012 0.084 0.512 0.232 0.144 0.016
#> 9AC963E4-F82D-460E-9CAD-C651B879780A 2 0.577 0.54398 0.000 0.608 0.196 0.024 0.168 0.004
#> 1B6CF403-D0AE-4FFE-A884-660A58F32660 3 0.741 0.09639 0.008 0.336 0.348 0.048 0.244 0.016
#> B33316E1-11FD-4C10-956A-C9C6F78508C5 1 0.637 0.38252 0.512 0.032 0.008 0.052 0.356 0.040
#> BB02EF6A-C57D-4A79-99C1-ED43A72FFAF7 2 0.265 0.71253 0.000 0.880 0.028 0.008 0.080 0.004
#> 4DBA59AD-9393-4BE6-88CB-852C62C4A334 3 0.295 0.37882 0.000 0.000 0.848 0.092 0.060 0.000
#> 7887EDC4-A0D7-4E57-B3A1-330A5683457D 5 0.489 0.48738 0.016 0.064 0.144 0.040 0.736 0.000
#> 2CD3AC14-46FB-4260-AE5C-4305C68D49BC 2 0.637 0.19817 0.000 0.440 0.200 0.012 0.340 0.008
#> BAB8FA79-208A-488D-B955-806263E5D6BB 3 0.675 0.29575 0.000 0.224 0.520 0.052 0.188 0.016
#> 98C990E7-7E3B-4200-A88D-E641931302EA 1 0.375 0.63126 0.804 0.000 0.000 0.016 0.104 0.076
#> 894EE382-5ACA-4DEB-9267-99ADBEF6DA19 2 0.670 0.14073 0.000 0.424 0.300 0.020 0.244 0.012
#> 98795F95-D26D-438A-AF46-B3BC3553F020 3 0.627 0.25134 0.004 0.060 0.600 0.196 0.132 0.008
#> 9AD4C328-1554-4C92-931C-30CE8F305FDE 6 0.331 0.82636 0.036 0.148 0.000 0.000 0.004 0.812
#> 4D1518D9-D968-4E7F-A702-5157A1A2E83E 1 0.732 0.20767 0.452 0.132 0.004 0.048 0.312 0.052
#> A6E8AF8C-5D7B-4197-990B-786A869ACB96 1 0.515 0.39027 0.564 0.016 0.000 0.028 0.376 0.016
#> DF8B4E19-8C78-4A68-8FAE-DFF01076BC97 2 0.668 0.27809 0.016 0.516 0.320 0.068 0.064 0.016
#> 8D2C608F-3280-4CA2-B996-9AE3DBDBBD28 2 0.661 0.27307 0.000 0.468 0.336 0.024 0.148 0.024
#> E7BCBD8D-1219-4A99-948A-47A258A5CD8B 5 0.734 0.20013 0.044 0.296 0.224 0.020 0.408 0.008
#> 2C9633A5-8ACB-4D16-8120-F098BA14BB04 2 0.189 0.70513 0.000 0.928 0.016 0.004 0.012 0.040
#> 985D9304-E4DA-4038-B235-067CBFEAC902 2 0.149 0.68122 0.000 0.936 0.004 0.004 0.000 0.056
#> D34CE243-6F4F-4158-9FC4-77E1640E8A91 2 0.135 0.67907 0.000 0.940 0.000 0.004 0.000 0.056
#> 65131575-48D3-42C2-B411-3DB871EF5EE1 5 0.630 0.44390 0.040 0.136 0.184 0.020 0.612 0.008
#> 1AE13DFA-670C-43EE-9898-8FA831AEDDB3 3 0.279 0.39830 0.000 0.004 0.880 0.064 0.028 0.024
#> 3ACDCD29-1B8D-455D-9EE9-D6C903B16D09 5 0.476 0.48571 0.012 0.064 0.140 0.040 0.744 0.000
#> C6FBC35B-0113-4F00-BE1A-831D2C551055 5 0.789 0.43293 0.196 0.040 0.200 0.092 0.456 0.016
#> A8F3285D-A85E-4E73-9D20-9D14AA51916B 3 0.214 0.38244 0.000 0.004 0.908 0.052 0.036 0.000
#> 51601A73-2D75-4056-AEBB-8FF8DB813450 3 0.502 0.04678 0.000 0.000 0.628 0.284 0.076 0.012
#> 75021778-A96B-4F57-8C26-68E8F33D7EB7 2 0.685 0.11371 0.004 0.400 0.196 0.040 0.356 0.004
#> 71FFB439-22A1-4EBB-AEA6-A6BCA8CA6648 3 0.623 0.17166 0.024 0.008 0.564 0.196 0.204 0.004
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#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.440 0.54318 0.736 0.000 0.000 0.184 0.024 0.056
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.122 0.69564 0.000 0.956 0.004 0.000 0.012 0.028
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 5 0.613 -0.23017 0.004 0.008 0.404 0.176 0.408 0.000
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.558 0.45072 0.568 0.008 0.012 0.032 0.348 0.032
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 5 0.694 0.44050 0.200 0.188 0.036 0.028 0.536 0.012
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.558 0.59181 0.664 0.032 0.000 0.024 0.196 0.084
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 3 0.670 0.32479 0.004 0.196 0.512 0.044 0.236 0.008
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 2 0.541 0.60056 0.000 0.660 0.140 0.020 0.172 0.008
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 2 0.679 0.00656 0.044 0.404 0.136 0.012 0.400 0.004
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 3 0.593 0.41155 0.000 0.108 0.640 0.056 0.180 0.016
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 3 0.403 0.44296 0.000 0.024 0.792 0.064 0.116 0.004
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 3 0.618 0.32100 0.000 0.128 0.584 0.044 0.232 0.012
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.399 0.55688 0.760 0.000 0.000 0.184 0.016 0.040
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.446 0.55516 0.716 0.000 0.000 0.216 0.028 0.040
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 5 0.500 0.46435 0.008 0.064 0.172 0.044 0.712 0.000
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.503 0.66179 0.004 0.744 0.116 0.020 0.060 0.056
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.503 0.66179 0.004 0.744 0.116 0.020 0.060 0.056
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 3 0.694 0.28625 0.000 0.276 0.456 0.060 0.200 0.008
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.632 0.31136 0.000 0.292 0.536 0.080 0.088 0.004
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.157 0.68201 0.000 0.936 0.004 0.004 0.004 0.052
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 3 0.688 0.19746 0.000 0.316 0.420 0.036 0.216 0.012
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 3 0.666 0.26141 0.004 0.272 0.512 0.028 0.164 0.020
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 2 0.746 0.04212 0.016 0.416 0.348 0.108 0.092 0.020
#> CA356591-D24F-41A8-8C9A-1178C7781510 3 0.631 0.39364 0.000 0.212 0.580 0.052 0.144 0.012
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.557 0.06954 0.004 0.000 0.584 0.248 0.160 0.004
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.414 0.61296 0.768 0.000 0.000 0.036 0.156 0.040
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["SD", "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 17888 rows and 430 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 0.311 0.724 0.822 0.4831 0.509 0.509
#> 3 3 0.676 0.642 0.849 0.3675 0.681 0.454
#> 4 4 0.646 0.657 0.814 0.1255 0.789 0.473
#> 5 5 0.623 0.587 0.749 0.0650 0.875 0.565
#> 6 6 0.664 0.467 0.689 0.0439 0.938 0.725
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 3
Following shows the table of the partitions (You need to click the show/hide
code output link to see it). The membership matrix (columns with name p*)
is inferred by
clue::cl_consensus()
function with the SE method. Basically the value in the membership matrix
represents the probability to belong to a certain group. The finall class
label for an item is determined with the group with highest probability it
belongs to.
In get_classes() function, the entropy is calculated from the membership
matrix and the silhouette score is calculated from the consensus matrix.
cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#> class entropy silhouette p1 p2
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 2 0.0938 0.83240 0.012 0.988
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 2 0.8763 0.64439 0.296 0.704
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 2 0.1184 0.83205 0.016 0.984
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.1633 0.82870 0.024 0.976
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 2 0.9710 0.48852 0.400 0.600
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 1 0.9954 0.38767 0.540 0.460
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 2 0.6887 0.73372 0.184 0.816
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 2 0.1184 0.83205 0.016 0.984
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.0376 0.83450 0.004 0.996
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.0376 0.83450 0.004 0.996
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.9087 0.34536 0.324 0.676
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 1 0.7219 0.63723 0.800 0.200
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.0000 0.77029 1.000 0.000
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.0376 0.83450 0.004 0.996
#> ECB2DF14-CF68-44D4-8719-973AE448B992 1 0.6887 0.80887 0.816 0.184
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 2 0.1184 0.83205 0.016 0.984
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 1 0.1633 0.76094 0.976 0.024
#> 3282F146-2782-4877-9EFE-6020AC277A8C 2 0.0000 0.83472 0.000 1.000
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 2 0.2778 0.81336 0.048 0.952
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 2 0.1843 0.82853 0.028 0.972
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.0000 0.83472 0.000 1.000
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 2 0.9491 0.26285 0.368 0.632
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.1414 0.83019 0.020 0.980
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 1 0.0000 0.77029 1.000 0.000
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 1 0.8608 0.48512 0.716 0.284
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 2 0.0000 0.83472 0.000 1.000
#> C945DDA9-0194-46F4-89E2-13883284D5A4 2 0.9983 0.32375 0.476 0.524
#> 79B11925-9772-474F-A729-D00315959710 1 0.6973 0.80788 0.812 0.188
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 2 0.0000 0.83472 0.000 1.000
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 1 0.0000 0.77029 1.000 0.000
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 1 0.7376 0.62596 0.792 0.208
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.6973 0.80788 0.812 0.188
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.1633 0.82870 0.024 0.976
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 1 0.0000 0.77029 1.000 0.000
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 1 0.7602 0.60861 0.780 0.220
#> 26796E5F-C0C2-466C-9012-882F6D29C149 2 0.0938 0.83240 0.012 0.988
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 0.0376 0.77209 0.996 0.004
#> 1492D21A-6458-4B49-B530-7A327FCDD031 1 0.7056 0.80552 0.808 0.192
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 2 0.7299 0.63705 0.204 0.796
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 2 0.1184 0.83205 0.016 0.984
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.7139 0.80237 0.804 0.196
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 1 0.7883 0.78075 0.764 0.236
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.1633 0.82870 0.024 0.976
#> E846120D-D9E6-46F8-9647-2272AB064072 1 0.0000 0.77029 1.000 0.000
#> 36880C8C-91A9-49A9-A2D5-957161737F31 2 0.3733 0.78891 0.072 0.928
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.1633 0.82870 0.024 0.976
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 2 0.4022 0.78081 0.080 0.920
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 1 0.0000 0.77029 1.000 0.000
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 1 0.8861 0.71294 0.696 0.304
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 2 0.4298 0.77222 0.088 0.912
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 2 0.9661 0.51267 0.392 0.608
#> 116F3F29-AB89-4F00-9003-559041E285EB 2 0.7056 0.72893 0.192 0.808
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.1843 0.82666 0.028 0.972
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 1 0.4431 0.73845 0.908 0.092
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 2 0.0000 0.83472 0.000 1.000
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 2 0.6801 0.65690 0.180 0.820
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 1 0.6973 0.80788 0.812 0.188
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 2 0.0000 0.83472 0.000 1.000
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 2 0.7299 0.72319 0.204 0.796
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.7056 0.80552 0.808 0.192
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 1 0.7528 0.61460 0.784 0.216
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.1633 0.82870 0.024 0.976
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 1 0.9954 -0.11321 0.540 0.460
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 1 0.0000 0.77029 1.000 0.000
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 2 0.0000 0.83472 0.000 1.000
#> CD576099-5450-4232-9B59-08341BED8FFA 2 0.0000 0.83472 0.000 1.000
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 2 0.0000 0.83472 0.000 1.000
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 1 0.7056 0.80552 0.808 0.192
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 1 0.6623 0.81116 0.828 0.172
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 2 0.0000 0.83472 0.000 1.000
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 2 0.1184 0.83205 0.016 0.984
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 2 0.9815 0.46024 0.420 0.580
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 1 0.7056 0.80552 0.808 0.192
#> 57E380FC-B6AB-466F-9936-D52192888008 1 0.9522 0.56024 0.628 0.372
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 2 0.1414 0.83053 0.020 0.980
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 1 0.7056 0.80552 0.808 0.192
#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 2 0.0000 0.83472 0.000 1.000
#> 1D4F0B66-720D-484D-B8D5-2B290ED208A8 2 0.7376 0.72371 0.208 0.792
#> C886CA33-5080-4E3E-88A2-F9A3CF03A857 1 0.4690 0.73142 0.900 0.100
#> 9AC963E4-F82D-460E-9CAD-C651B879780A 2 0.0000 0.83472 0.000 1.000
#> 1B6CF403-D0AE-4FFE-A884-660A58F32660 2 0.9000 0.62142 0.316 0.684
#> B33316E1-11FD-4C10-956A-C9C6F78508C5 1 0.6531 0.81146 0.832 0.168
#> BB02EF6A-C57D-4A79-99C1-ED43A72FFAF7 2 0.0376 0.83450 0.004 0.996
#> 4DBA59AD-9393-4BE6-88CB-852C62C4A334 2 0.9661 0.51267 0.392 0.608
#> 7887EDC4-A0D7-4E57-B3A1-330A5683457D 1 0.6973 0.80788 0.812 0.188
#> 2CD3AC14-46FB-4260-AE5C-4305C68D49BC 2 0.0000 0.83472 0.000 1.000
#> BAB8FA79-208A-488D-B955-806263E5D6BB 2 0.0672 0.83410 0.008 0.992
#> 98C990E7-7E3B-4200-A88D-E641931302EA 1 0.7056 0.80552 0.808 0.192
#> 894EE382-5ACA-4DEB-9267-99ADBEF6DA19 2 0.0000 0.83472 0.000 1.000
#> 98795F95-D26D-438A-AF46-B3BC3553F020 1 0.9044 0.40304 0.680 0.320
#> 9AD4C328-1554-4C92-931C-30CE8F305FDE 1 0.7139 0.80339 0.804 0.196
#> 4D1518D9-D968-4E7F-A702-5157A1A2E83E 1 0.7056 0.80552 0.808 0.192
#> A6E8AF8C-5D7B-4197-990B-786A869ACB96 1 0.6973 0.80788 0.812 0.188
#> DF8B4E19-8C78-4A68-8FAE-DFF01076BC97 2 0.7139 0.72727 0.196 0.804
#> 8D2C608F-3280-4CA2-B996-9AE3DBDBBD28 2 0.7950 0.69829 0.240 0.760
#> E7BCBD8D-1219-4A99-948A-47A258A5CD8B 2 0.0000 0.83472 0.000 1.000
#> 2C9633A5-8ACB-4D16-8120-F098BA14BB04 2 0.1633 0.82870 0.024 0.976
#> 985D9304-E4DA-4038-B235-067CBFEAC902 2 0.1633 0.82870 0.024 0.976
#> D34CE243-6F4F-4158-9FC4-77E1640E8A91 2 0.1633 0.82870 0.024 0.976
#> 65131575-48D3-42C2-B411-3DB871EF5EE1 2 0.1633 0.82881 0.024 0.976
#> 1AE13DFA-670C-43EE-9898-8FA831AEDDB3 2 0.7219 0.72716 0.200 0.800
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#> ECC62CBA-16AB-45F0-9C5A-72F302B4A188 2 0.0000 0.83472 0.000 1.000
#> 5AF4899F-D8E1-4CB6-B3DC-F0C60C808838 2 0.7139 0.72727 0.196 0.804
#> BBCEA0D1-DE66-4C0C-8D3C-D1398D04B472 2 0.0938 0.83279 0.012 0.988
#> 154764CD-AC69-4F48-A212-8B27C076C91A 2 0.9833 0.45206 0.424 0.576
#> 33266777-E07B-49D0-9E24-2EDE2577CF16 1 0.5629 0.80870 0.868 0.132
#> 7DAE9720-3922-4680-9F95-75C029B7FDA9 2 0.8608 0.65767 0.284 0.716
#> 1BC2ECED-0425-4382-BB94-F57ED2687F18 1 0.1843 0.78138 0.972 0.028
#> 0901D931-77BE-47B0-AE5F-C26C6A144CA0 1 0.7219 0.80111 0.800 0.200
#> 77AFFD5F-F715-4242-95C9-5F36E061B3E2 1 0.6973 0.80788 0.812 0.188
#> FAB4A6D6-E978-4172-9FE1-79FC50C0F849 2 0.0672 0.83410 0.008 0.992
#> 32C4DF54-39DD-4F62-B938-82ED2A0E0FFD 1 0.6973 0.80788 0.812 0.188
#> 9911D83E-6DDF-4048-9A34-22BFA1D68BBD 2 0.9944 0.36919 0.456 0.544
#> 4BAC0A03-BB88-4D19-86F9-FF093330C9B3 2 0.8608 0.67008 0.284 0.716
#> 18F63ADA-1828-43DD-AE1F-F36706C204CD 2 0.9552 0.53356 0.376 0.624
#> 66729295-C0AA-42C7-92C9-05194EF02276 1 0.7299 0.63168 0.796 0.204
#> 4CCA3104-B557-403D-AC06-A6D4936DDC04 2 0.9686 0.50535 0.396 0.604
#> 77D4165E-7CB1-4D69-AFE5-C8D914531651 2 0.0000 0.83472 0.000 1.000
#> BA12A05A-622A-424D-8108-3F5916405EB0 1 0.6343 0.68344 0.840 0.160
#> DED4EA4D-9DC2-4419-83EC-2BFE75DC1830 2 0.0376 0.83450 0.004 0.996
#> 13A35364-57C5-4F5A-B077-3BA2689BFDD3 1 0.7056 0.80552 0.808 0.192
#> 2641B816-1D21-496E-85AD-1C690C9146A6 1 0.5946 0.69767 0.856 0.144
#> 96E2AD09-7287-4B91-840E-81444A61D56F 2 0.6712 0.73907 0.176 0.824
#> 62F3327F-FB16-4AD0-BCF5-B180F28281A9 2 0.0938 0.83278 0.012 0.988
#> 112F7032-0212-4939-9449-D67E3600CCD5 2 0.7139 0.72727 0.196 0.804
#> A3B4DE21-DDF0-4468-A300-7BECBAFD0BCD 1 0.6623 0.81116 0.828 0.172
#> 0A03E593-6931-419C-AE47-51D75185C2C0 2 0.9710 0.49791 0.400 0.600
#> 2416A3DC-A563-4FD1-A139-0E6EF7185211 2 0.0938 0.83278 0.012 0.988
#> 18B29573-822C-405F-B793-DBC8924866CE 2 0.1633 0.82870 0.024 0.976
#> 994EC227-B239-4CEE-AC96-EB5CC0AF583E 1 0.6973 0.80788 0.812 0.188
#> 950933A3-5757-4914-9DC5-C220C2A455FD 2 0.9661 0.51267 0.392 0.608
#> DBDFE95C-F941-407A-BE7D-D43D50143C4D 2 0.1633 0.82870 0.024 0.976
#> D024393C-29D0-41C4-AB86-7E94581FDD26 2 0.1184 0.83205 0.016 0.984
#> 4975AB35-93E5-400D-A429-CEA81BA89FFE 1 0.6623 0.81116 0.828 0.172
#> 666ADCA2-1AE4-4843-B1C8-8EE29C44AE74 1 0.7815 0.78344 0.768 0.232
#> A8F79C08-3943-4707-ADCB-890A955B5394 2 0.1633 0.82870 0.024 0.976
#> A81614ED-14CB-4EBC-988E-F67FBCBF62D8 2 0.7376 0.60628 0.208 0.792
#> E27E65C8-5B57-4C91-9D20-C075AEA2F2C5 1 0.0000 0.77029 1.000 0.000
#> 745F18CA-080D-42FE-BAA6-89AD7E3D3408 2 0.0376 0.83450 0.004 0.996
#> E755A625-799D-4A39-9D56-080228E0B669 2 0.4022 0.78081 0.080 0.920
#> 3D94EFB8-94D4-4FDE-97D8-18A159279996 2 0.8763 0.64439 0.296 0.704
#> 3D305C2E-6C86-4684-AA2A-155291AB4CC3 1 0.6623 0.81116 0.828 0.172
#> E140052A-5434-4C44-9873-0318D1D272CA 2 0.1633 0.82870 0.024 0.976
#> 68E56692-D46D-4A27-86CD-717E10AADDDA 2 0.9460 0.56058 0.364 0.636
#> 00A0586E-5F05-47B3-925C-87E811B0893B 1 0.7219 0.63723 0.800 0.200
#> E2B019A7-7C95-40FE-800C-D30E9730825C 1 0.1414 0.76279 0.980 0.020
#> 1B9ABB69-5CC6-4B6B-ABBC-71CC3274C7F0 1 0.7056 0.80552 0.808 0.192
#> FAE396AA-3C3C-4AF9-953D-385C41B2DB5B 1 0.7056 0.80552 0.808 0.192
#> 6BE4397D-1E5B-4486-83B4-EE0EC146C805 2 0.1633 0.82870 0.024 0.976
#> EE38BD4E-5A08-4639-912F-04203F53762F 1 0.7376 0.79207 0.792 0.208
#> 4050E7F8-80B6-46F2-8FF0-D4EC313E975B 1 0.7219 0.63779 0.800 0.200
#> F3565161-FFBE-4138-9773-558DB386710C 1 0.7056 0.80552 0.808 0.192
#> BA9ABEB1-D3F0-4F09-A647-25211C47C3D0 2 0.1633 0.82870 0.024 0.976
#> 9E41E79A-4028-4F60-8250-411F191B665C 1 0.7056 0.80552 0.808 0.192
#> 5F1D3EFD-ECDA-4C92-8D81-491484F09C95 1 0.3584 0.74604 0.932 0.068
#> 0DBA04CB-417D-4E2B-BE83-3563F45291C4 1 0.9491 0.57145 0.632 0.368
#> B9B882A5-194B-4F5C-B702-0CF71CA6D9D2 2 0.0376 0.83450 0.004 0.996
#> 67FE7638-B8F5-4631-B178-AC23B0382983 1 0.6973 0.80788 0.812 0.188
#> FE03FC2C-9A4E-4F89-8681-E33DFECCC692 2 0.8661 0.44584 0.288 0.712
#> 2B22B4B7-8A39-435C-BE3B-86FA84C8F941 2 0.6623 0.74158 0.172 0.828
#> 00844B35-C108-4AEC-A687-4A91A2F33E6D 1 0.6973 0.80788 0.812 0.188
#> C221EE7A-6343-4B6D-B322-0A2C0F0B29AF 1 0.6973 0.80788 0.812 0.188
#> B28A6D56-7654-4829-BF1F-657C3C2C10D8 1 0.0938 0.77541 0.988 0.012
#> F4C7BCEC-3CD4-4D9A-89EA-0ED58EA0DCFE 1 0.7056 0.80552 0.808 0.192
#> F06FBFAB-D143-47AE-BEE7-51B48164764F 1 0.1414 0.76738 0.980 0.020
#> 525F522B-E865-4479-AE65-510903ABF46F 2 0.7056 0.72893 0.192 0.808
#> F0CB60E3-C412-46A2-918F-8C5C099AB224 1 0.9323 0.67011 0.652 0.348
#> 587F307F-6E1B-487E-8E47-A99AB43DC5B4 1 0.4815 0.72774 0.896 0.104
#> 883D9145-8414-4571-A3E1-516F03452C46 1 0.6973 0.80788 0.812 0.188
#> 4A917271-7EA0-4F43-B474-7F5EA756EB05 1 0.7056 0.80552 0.808 0.192
#> BB33015D-218C-4A1E-8839-95837D6E9B88 1 0.7056 0.80552 0.808 0.192
#> 021CC81F-710D-4EEA-B1D8-012A81715ACC 1 0.6973 0.80788 0.812 0.188
#> B00C4925-47E3-4442-ABEB-82D714A26587 1 0.9754 0.57194 0.592 0.408
#> F79B27D3-0426-47BB-9756-7E0759246E5E 2 0.0000 0.83472 0.000 1.000
#> 1F179559-D93E-491C-B499-64F86C31DAE0 1 0.5946 0.69756 0.856 0.144
#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 1 0.8763 0.45655 0.704 0.296
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 1 0.0000 0.77029 1.000 0.000
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 1 0.0376 0.76879 0.996 0.004
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 2 0.1633 0.82870 0.024 0.976
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 1 0.9954 0.41127 0.540 0.460
#> ED9794C0-AC60-4B54-8214-D26714871BBF 1 0.6148 0.81123 0.848 0.152
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 2 0.0000 0.83472 0.000 1.000
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 2 0.1633 0.82870 0.024 0.976
#> 18D816AF-394A-482F-B22E-896A43B1E481 2 0.0672 0.83375 0.008 0.992
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 1 0.9286 0.64517 0.656 0.344
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 2 0.9635 0.52003 0.388 0.612
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 2 0.0000 0.83472 0.000 1.000
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 1 0.7745 0.59618 0.772 0.228
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 2 0.5408 0.73891 0.124 0.876
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 2 0.0000 0.83472 0.000 1.000
#> 7E809698-2473-4EFE-B896-1637983EC596 2 0.0000 0.83472 0.000 1.000
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 1 0.9635 0.18238 0.612 0.388
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 1 0.7139 0.64248 0.804 0.196
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 2 0.0000 0.83472 0.000 1.000
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.6438 0.81153 0.836 0.164
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.6973 0.80788 0.812 0.188
#> 73F28A79-7D35-4FE9-849D-FFE681483928 1 0.7453 0.80372 0.788 0.212
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 1 0.6148 0.81123 0.848 0.152
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 2 0.9833 0.45206 0.424 0.576
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 1 0.0000 0.77029 1.000 0.000
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.0000 0.83472 0.000 1.000
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.7056 0.80552 0.808 0.192
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 1 0.6973 0.80788 0.812 0.188
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 1 0.6623 0.81116 0.828 0.172
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 1 0.2948 0.75933 0.948 0.052
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 2 0.9661 0.51267 0.392 0.608
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.7056 0.80552 0.808 0.192
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.1633 0.82870 0.024 0.976
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 2 0.4690 0.76443 0.100 0.900
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.1633 0.82870 0.024 0.976
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 2 0.0000 0.83472 0.000 1.000
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 2 0.0000 0.83472 0.000 1.000
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 2 0.3274 0.81449 0.060 0.940
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 2 0.0672 0.83410 0.008 0.992
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.6973 0.80788 0.812 0.188
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 1 0.4815 0.72775 0.896 0.104
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.0000 0.77029 1.000 0.000
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.9661 0.52823 0.608 0.392
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.0000 0.77029 1.000 0.000
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.1633 0.82870 0.024 0.976
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 1 0.4161 0.73874 0.916 0.084
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.6623 0.81116 0.828 0.172
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 2 0.8763 0.45907 0.296 0.704
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.6973 0.80788 0.812 0.188
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 2 0.1843 0.82669 0.028 0.972
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 2 0.0000 0.83472 0.000 1.000
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 2 0.4562 0.77976 0.096 0.904
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 2 0.1184 0.83205 0.016 0.984
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 2 0.9248 0.59647 0.340 0.660
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 2 0.9248 0.59647 0.340 0.660
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.0000 0.77029 1.000 0.000
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.0000 0.77029 1.000 0.000
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 1 0.9323 0.31302 0.652 0.348
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.6623 0.74158 0.172 0.828
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.0376 0.83450 0.004 0.996
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 2 0.7376 0.72444 0.208 0.792
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 2 0.7139 0.72727 0.196 0.804
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.5629 0.71965 0.132 0.868
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 2 0.0000 0.83472 0.000 1.000
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 2 0.0938 0.83322 0.012 0.988
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 2 0.9866 0.42041 0.432 0.568
#> CA356591-D24F-41A8-8C9A-1178C7781510 2 0.6887 0.73372 0.184 0.816
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 1 0.6973 0.65227 0.812 0.188
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.6973 0.80788 0.812 0.188
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 3 0.4235 0.59813 0.000 0.176 0.824
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 2 0.3983 0.05093 0.004 0.852 0.144
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 3 0.0000 0.46749 0.000 0.000 1.000
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.6111 0.83397 0.000 0.604 0.396
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 3 0.6111 0.71229 0.000 0.396 0.604
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 1 0.5968 0.45622 0.636 0.364 0.000
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 3 0.6111 0.71229 0.000 0.396 0.604
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 3 0.3879 0.18604 0.000 0.152 0.848
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.6111 0.83397 0.000 0.604 0.396
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.6111 0.83397 0.000 0.604 0.396
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.7209 0.79943 0.036 0.604 0.360
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.6330 0.71220 0.004 0.396 0.600
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.1031 0.91139 0.976 0.024 0.000
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.6126 0.83267 0.000 0.600 0.400
#> ECB2DF14-CF68-44D4-8719-973AE448B992 1 0.4002 0.77086 0.840 0.000 0.160
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 3 0.4555 0.05298 0.000 0.200 0.800
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 1 0.9627 -0.12650 0.400 0.396 0.204
#> 3282F146-2782-4877-9EFE-6020AC277A8C 3 0.0747 0.45130 0.000 0.016 0.984
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 3 0.0747 0.45130 0.000 0.016 0.984
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 2 0.6111 0.83397 0.000 0.604 0.396
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.6126 0.83267 0.000 0.600 0.400
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 3 0.4232 0.31646 0.044 0.084 0.872
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.6111 0.83397 0.000 0.604 0.396
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 1 0.0000 0.92839 1.000 0.000 0.000
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 3 0.6111 0.71229 0.000 0.396 0.604
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 3 0.2625 0.33966 0.000 0.084 0.916
#> C945DDA9-0194-46F4-89E2-13883284D5A4 3 0.6111 0.71229 0.000 0.396 0.604
#> 79B11925-9772-474F-A729-D00315959710 1 0.0237 0.92829 0.996 0.004 0.000
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 2 0.6126 0.83267 0.000 0.600 0.400
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 1 0.0000 0.92839 1.000 0.000 0.000
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 3 0.6111 0.71229 0.000 0.396 0.604
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.0237 0.92829 0.996 0.004 0.000
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.6111 0.83397 0.000 0.604 0.396
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 1 0.4399 0.73988 0.812 0.188 0.000
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.6330 0.71220 0.004 0.396 0.600
#> 26796E5F-C0C2-466C-9012-882F6D29C149 3 0.5397 0.65941 0.000 0.280 0.720
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#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 3 0.6330 0.71220 0.004 0.396 0.600
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 1 0.0000 0.92839 1.000 0.000 0.000
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.6126 0.83267 0.000 0.600 0.400
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.0237 0.92829 0.996 0.004 0.000
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 1 0.4702 0.70147 0.788 0.000 0.212
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 1 0.0000 0.92839 1.000 0.000 0.000
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 1 0.3325 0.85265 0.904 0.020 0.076
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.6330 0.71220 0.004 0.396 0.600
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.0237 0.92829 0.996 0.004 0.000
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.6111 0.83397 0.000 0.604 0.396
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 3 0.0237 0.46367 0.000 0.004 0.996
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.6111 0.83397 0.000 0.604 0.396
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 2 0.6126 0.83267 0.000 0.600 0.400
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 3 0.4555 0.05298 0.000 0.200 0.800
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 3 0.0892 0.44546 0.000 0.020 0.980
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 3 0.0747 0.45130 0.000 0.016 0.984
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.0237 0.92829 0.996 0.004 0.000
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.6330 0.71220 0.004 0.396 0.600
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.0000 0.92839 1.000 0.000 0.000
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.0237 0.92829 0.996 0.004 0.000
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.0000 0.92839 1.000 0.000 0.000
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.6111 0.83397 0.000 0.604 0.396
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 3 0.6330 0.71220 0.004 0.396 0.600
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.0000 0.92839 1.000 0.000 0.000
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 2 0.9770 0.09403 0.368 0.400 0.232
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.0237 0.92829 0.996 0.004 0.000
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 3 0.0592 0.45557 0.000 0.012 0.988
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 3 0.5968 -0.43281 0.000 0.364 0.636
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 3 0.5431 -0.21565 0.000 0.284 0.716
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 3 0.0424 0.47473 0.000 0.008 0.992
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 3 0.6111 0.71229 0.000 0.396 0.604
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 3 0.6111 0.71229 0.000 0.396 0.604
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.0000 0.92839 1.000 0.000 0.000
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.0000 0.92839 1.000 0.000 0.000
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 3 0.6111 0.71229 0.000 0.396 0.604
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.6126 0.83267 0.000 0.600 0.400
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.6126 0.83267 0.000 0.600 0.400
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 3 0.6111 0.71229 0.000 0.396 0.604
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.6140 0.70766 0.000 0.404 0.596
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.6111 0.83397 0.000 0.604 0.396
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 3 0.4605 0.03964 0.000 0.204 0.796
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 3 0.0000 0.46749 0.000 0.000 1.000
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 2 0.4784 -0.08734 0.004 0.796 0.200
#> CA356591-D24F-41A8-8C9A-1178C7781510 3 0.6111 0.71229 0.000 0.396 0.604
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.6330 0.71220 0.004 0.396 0.600
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.0237 0.92829 0.996 0.004 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 3 0.5928 -0.37304 0.000 0.036 0.508 0.456
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.4855 0.31782 0.000 0.400 0.600 0.000
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 4 0.6398 0.59937 0.000 0.080 0.344 0.576
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.0000 0.88871 0.000 1.000 0.000 0.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 4 0.4977 0.46412 0.000 0.000 0.460 0.540
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 1 0.5671 0.31043 0.572 0.400 0.000 0.028
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 3 0.4948 -0.25515 0.000 0.000 0.560 0.440
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 4 0.6295 0.63203 0.000 0.088 0.296 0.616
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.0000 0.88871 0.000 1.000 0.000 0.000
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.0000 0.88871 0.000 1.000 0.000 0.000
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.0188 0.88633 0.000 0.996 0.000 0.004
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.4222 0.68180 0.000 0.000 0.728 0.272
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.1510 0.84694 0.956 0.000 0.028 0.016
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.0000 0.88871 0.000 1.000 0.000 0.000
#> ECB2DF14-CF68-44D4-8719-973AE448B992 4 0.0895 0.65377 0.020 0.000 0.004 0.976
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 4 0.6295 0.63169 0.000 0.088 0.296 0.616
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 3 0.5847 0.61358 0.052 0.000 0.628 0.320
#> 3282F146-2782-4877-9EFE-6020AC277A8C 4 0.6482 0.60044 0.000 0.084 0.352 0.564
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 4 0.4655 0.68076 0.000 0.088 0.116 0.796
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 2 0.4790 0.35584 0.000 0.620 0.000 0.380
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.0000 0.88871 0.000 1.000 0.000 0.000
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 4 0.1305 0.66676 0.000 0.036 0.004 0.960
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.0000 0.88871 0.000 1.000 0.000 0.000
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 1 0.2197 0.84676 0.916 0.000 0.004 0.080
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 4 0.2760 0.62895 0.000 0.000 0.128 0.872
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 4 0.2300 0.67221 0.000 0.064 0.016 0.920
#> C945DDA9-0194-46F4-89E2-13883284D5A4 3 0.4925 -0.15309 0.000 0.000 0.572 0.428
#> 79B11925-9772-474F-A729-D00315959710 1 0.0817 0.86327 0.976 0.000 0.000 0.024
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 2 0.5929 0.40492 0.000 0.640 0.064 0.296
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 1 0.2053 0.84724 0.924 0.000 0.004 0.072
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 4 0.1867 0.64082 0.000 0.000 0.072 0.928
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.1867 0.85640 0.928 0.000 0.000 0.072
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.4059 0.65980 0.000 0.788 0.012 0.200
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 1 0.4030 0.78582 0.836 0.000 0.092 0.072
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.4605 0.63267 0.000 0.000 0.664 0.336
#> 26796E5F-C0C2-466C-9012-882F6D29C149 4 0.5620 0.54231 0.000 0.024 0.416 0.560
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 0.0921 0.85797 0.972 0.000 0.000 0.028
#> 1492D21A-6458-4B49-B530-7A327FCDD031 4 0.4843 -0.09957 0.396 0.000 0.000 0.604
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 4 0.2695 0.67780 0.008 0.056 0.024 0.912
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 4 0.6182 0.64333 0.000 0.088 0.276 0.636
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.2345 0.84092 0.900 0.000 0.000 0.100
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 4 0.1256 0.64894 0.028 0.000 0.008 0.964
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.0000 0.88871 0.000 1.000 0.000 0.000
#> E846120D-D9E6-46F8-9647-2272AB064072 1 0.0707 0.85672 0.980 0.000 0.000 0.020
#> 36880C8C-91A9-49A9-A2D5-957161737F31 2 0.0469 0.88057 0.012 0.988 0.000 0.000
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.0000 0.88871 0.000 1.000 0.000 0.000
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 2 0.0000 0.88871 0.000 1.000 0.000 0.000
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 1 0.1867 0.84841 0.928 0.000 0.000 0.072
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 4 0.0779 0.65630 0.016 0.000 0.004 0.980
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 2 0.0000 0.88871 0.000 1.000 0.000 0.000
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 3 0.0592 0.73561 0.000 0.000 0.984 0.016
#> 116F3F29-AB89-4F00-9003-559041E285EB 3 0.1557 0.69809 0.000 0.000 0.944 0.056
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.0000 0.88871 0.000 1.000 0.000 0.000
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 3 0.4605 0.63200 0.000 0.000 0.664 0.336
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 2 0.7827 -0.25654 0.000 0.388 0.260 0.352
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 4 0.2124 0.67251 0.000 0.068 0.008 0.924
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 1 0.0000 0.85986 1.000 0.000 0.000 0.000
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 2 0.4635 0.54635 0.000 0.720 0.012 0.268
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 3 0.5915 0.26982 0.000 0.400 0.560 0.040
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.0817 0.86327 0.976 0.000 0.000 0.024
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 3 0.3942 0.70038 0.000 0.000 0.764 0.236
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.0000 0.88871 0.000 1.000 0.000 0.000
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 3 0.4356 0.66881 0.000 0.000 0.708 0.292
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 1 0.4889 0.63824 0.636 0.000 0.004 0.360
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 4 0.6887 0.60784 0.000 0.132 0.308 0.560
#> CD576099-5450-4232-9B59-08341BED8FFA 4 0.5940 0.65978 0.000 0.088 0.240 0.672
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 4 0.6757 0.61235 0.000 0.120 0.308 0.572
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 1 0.0817 0.86327 0.976 0.000 0.000 0.024
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 1 0.0592 0.86275 0.984 0.000 0.000 0.016
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 2 0.0657 0.88119 0.000 0.984 0.012 0.004
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 4 0.6439 0.60189 0.000 0.084 0.340 0.576
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 3 0.0469 0.73687 0.000 0.000 0.988 0.012
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 1 0.0817 0.86327 0.976 0.000 0.000 0.024
#> 57E380FC-B6AB-466F-9936-D52192888008 1 0.4985 0.34676 0.532 0.000 0.000 0.468
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 4 0.6529 0.55773 0.000 0.080 0.388 0.532
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 1 0.0817 0.86327 0.976 0.000 0.000 0.024
#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 4 0.6757 0.61169 0.000 0.120 0.308 0.572
#> 1D4F0B66-720D-484D-B8D5-2B290ED208A8 3 0.0592 0.73561 0.000 0.000 0.984 0.016
#> C886CA33-5080-4E3E-88A2-F9A3CF03A857 3 0.4477 0.65401 0.000 0.000 0.688 0.312
#> 9AC963E4-F82D-460E-9CAD-C651B879780A 2 0.6688 0.11526 0.000 0.536 0.096 0.368
#> 1B6CF403-D0AE-4FFE-A884-660A58F32660 3 0.2589 0.62019 0.000 0.000 0.884 0.116
#> B33316E1-11FD-4C10-956A-C9C6F78508C5 1 0.4605 0.68250 0.664 0.000 0.000 0.336
#> BB02EF6A-C57D-4A79-99C1-ED43A72FFAF7 2 0.0469 0.88337 0.000 0.988 0.012 0.000
#> 4DBA59AD-9393-4BE6-88CB-852C62C4A334 3 0.0592 0.73561 0.000 0.000 0.984 0.016
#> 7887EDC4-A0D7-4E57-B3A1-330A5683457D 4 0.0895 0.65452 0.020 0.000 0.004 0.976
#> 2CD3AC14-46FB-4260-AE5C-4305C68D49BC 4 0.6081 0.65265 0.000 0.088 0.260 0.652
#> BAB8FA79-208A-488D-B955-806263E5D6BB 4 0.6478 0.60379 0.000 0.088 0.336 0.576
#> 98C990E7-7E3B-4200-A88D-E641931302EA 1 0.0817 0.86327 0.976 0.000 0.000 0.024
#> 894EE382-5ACA-4DEB-9267-99ADBEF6DA19 4 0.6536 0.61671 0.000 0.096 0.324 0.580
#> 98795F95-D26D-438A-AF46-B3BC3553F020 3 0.3528 0.71836 0.000 0.000 0.808 0.192
#> 9AD4C328-1554-4C92-931C-30CE8F305FDE 1 0.0592 0.86275 0.984 0.000 0.000 0.016
#> 4D1518D9-D968-4E7F-A702-5157A1A2E83E 1 0.0817 0.86327 0.976 0.000 0.000 0.024
#> A6E8AF8C-5D7B-4197-990B-786A869ACB96 1 0.1474 0.86295 0.948 0.000 0.000 0.052
#> DF8B4E19-8C78-4A68-8FAE-DFF01076BC97 2 0.4907 0.22708 0.000 0.580 0.420 0.000
#> 8D2C608F-3280-4CA2-B996-9AE3DBDBBD28 3 0.3831 0.70629 0.000 0.004 0.792 0.204
#> E7BCBD8D-1219-4A99-948A-47A258A5CD8B 4 0.6391 0.61970 0.000 0.084 0.328 0.588
#> 2C9633A5-8ACB-4D16-8120-F098BA14BB04 2 0.0000 0.88871 0.000 1.000 0.000 0.000
#> 985D9304-E4DA-4038-B235-067CBFEAC902 2 0.0000 0.88871 0.000 1.000 0.000 0.000
#> D34CE243-6F4F-4158-9FC4-77E1640E8A91 2 0.0000 0.88871 0.000 1.000 0.000 0.000
#> 65131575-48D3-42C2-B411-3DB871EF5EE1 4 0.5030 0.67595 0.000 0.060 0.188 0.752
#> 1AE13DFA-670C-43EE-9898-8FA831AEDDB3 3 0.0817 0.73227 0.000 0.000 0.976 0.024
#> 3ACDCD29-1B8D-455D-9EE9-D6C903B16D09 4 0.0927 0.65453 0.016 0.000 0.008 0.976
#> C6FBC35B-0113-4F00-BE1A-831D2C551055 4 0.4819 0.03388 0.344 0.000 0.004 0.652
#> A8F3285D-A85E-4E73-9D20-9D14AA51916B 3 0.0592 0.73561 0.000 0.000 0.984 0.016
#> 51601A73-2D75-4056-AEBB-8FF8DB813450 3 0.1637 0.74498 0.000 0.000 0.940 0.060
#> 75021778-A96B-4F57-8C26-68E8F33D7EB7 4 0.4093 0.67974 0.000 0.072 0.096 0.832
#> 71FFB439-22A1-4EBB-AEA6-A6BCA8CA6648 3 0.4382 0.66598 0.000 0.000 0.704 0.296
#> BEDB0135-0A26-44EF-9028-C4907403B110 3 0.4277 0.67820 0.000 0.000 0.720 0.280
#> 3B8BA56B-0E7B-4754-8729-8D613D0484E1 1 0.0592 0.86275 0.984 0.000 0.000 0.016
#> 100BF963-6103-45E6-A760-E44649580CF5 4 0.5939 0.65531 0.000 0.084 0.248 0.668
#> C26F21EA-5911-483F-BF64-03904BF93A20 4 0.4054 0.64565 0.000 0.188 0.016 0.796
#> 9E50162D-8149-41D2-86C1-1C892EB98DFA 4 0.4735 0.68243 0.000 0.068 0.148 0.784
#> 09521B29-B002-4AAD-93F1-6E600DD31515 2 0.0000 0.88871 0.000 1.000 0.000 0.000
#> 45FD44A6-7976-4453-BD3F-99D21DA3ECC2 1 0.4584 0.70458 0.696 0.000 0.004 0.300
#> 9EE0976F-1422-4F65-8837-93A192984CDF 3 0.1716 0.74494 0.000 0.000 0.936 0.064
#> 2FBAA1AA-39F7-4C58-A7DA-76B1F4B26B2E 2 0.0000 0.88871 0.000 1.000 0.000 0.000
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#> 65D42DF3-62D8-4B1E-B6EB-A0FEEA01FD70 4 0.1022 0.64564 0.000 0.000 0.032 0.968
#> 7A42FA71-7FD7-47B6-842B-0BEF0ECD7FB5 2 0.0000 0.88871 0.000 1.000 0.000 0.000
#> 57F784E9-1827-476B-9AA6-524E842641EA 3 0.2589 0.73880 0.000 0.000 0.884 0.116
#> 5E79792E-CE89-4ECF-BD4E-B12877E63949 4 0.6323 0.64079 0.000 0.100 0.272 0.628
#> E9DB46D8-5CE4-472C-8F21-9180F2D4C880 3 0.4998 -0.36317 0.000 0.000 0.512 0.488
#> 7C712EF3-7368-4D97-BB9A-717CF8522C7F 3 0.2081 0.74427 0.000 0.000 0.916 0.084
#> 30312D82-4966-4EAA-A067-F91852FA8663 2 0.0000 0.88871 0.000 1.000 0.000 0.000
#> ECC62CBA-16AB-45F0-9C5A-72F302B4A188 2 0.3681 0.70849 0.000 0.816 0.176 0.008
#> 5AF4899F-D8E1-4CB6-B3DC-F0C60C808838 2 0.4898 0.23801 0.000 0.584 0.416 0.000
#> BBCEA0D1-DE66-4C0C-8D3C-D1398D04B472 2 0.0000 0.88871 0.000 1.000 0.000 0.000
#> 154764CD-AC69-4F48-A212-8B27C076C91A 3 0.0592 0.73561 0.000 0.000 0.984 0.016
#> 33266777-E07B-49D0-9E24-2EDE2577CF16 1 0.0469 0.85881 0.988 0.000 0.000 0.012
#> 7DAE9720-3922-4680-9F95-75C029B7FDA9 3 0.5039 0.30863 0.000 0.404 0.592 0.004
#> 1BC2ECED-0425-4382-BB94-F57ED2687F18 1 0.4454 0.69434 0.692 0.000 0.000 0.308
#> 0901D931-77BE-47B0-AE5F-C26C6A144CA0 1 0.1211 0.85553 0.960 0.000 0.000 0.040
#> 77AFFD5F-F715-4242-95C9-5F36E061B3E2 4 0.4925 -0.21379 0.428 0.000 0.000 0.572
#> FAB4A6D6-E978-4172-9FE1-79FC50C0F849 4 0.6478 0.60379 0.000 0.088 0.336 0.576
#> 32C4DF54-39DD-4F62-B938-82ED2A0E0FFD 4 0.4925 -0.11278 0.428 0.000 0.000 0.572
#> 9911D83E-6DDF-4048-9A34-22BFA1D68BBD 3 0.1867 0.74459 0.000 0.000 0.928 0.072
#> 4BAC0A03-BB88-4D19-86F9-FF093330C9B3 4 0.3688 0.63816 0.000 0.000 0.208 0.792
#> 18F63ADA-1828-43DD-AE1F-F36706C204CD 3 0.0469 0.73942 0.000 0.000 0.988 0.012
#> 66729295-C0AA-42C7-92C9-05194EF02276 3 0.3610 0.71437 0.000 0.000 0.800 0.200
#> 4CCA3104-B557-403D-AC06-A6D4936DDC04 3 0.0592 0.73830 0.000 0.000 0.984 0.016
#> 77D4165E-7CB1-4D69-AFE5-C8D914531651 2 0.4914 0.45496 0.000 0.676 0.012 0.312
#> BA12A05A-622A-424D-8108-3F5916405EB0 3 0.4500 0.65234 0.000 0.000 0.684 0.316
#> DED4EA4D-9DC2-4419-83EC-2BFE75DC1830 2 0.0000 0.88871 0.000 1.000 0.000 0.000
#> 13A35364-57C5-4F5A-B077-3BA2689BFDD3 1 0.3907 0.75365 0.768 0.000 0.000 0.232
#> 2641B816-1D21-496E-85AD-1C690C9146A6 3 0.4008 0.69671 0.000 0.000 0.756 0.244
#> 96E2AD09-7287-4B91-840E-81444A61D56F 2 0.5126 0.17345 0.000 0.552 0.444 0.004
#> 62F3327F-FB16-4AD0-BCF5-B180F28281A9 2 0.4262 0.60689 0.000 0.756 0.008 0.236
#> 112F7032-0212-4939-9449-D67E3600CCD5 2 0.4855 0.28086 0.000 0.600 0.400 0.000
#> A3B4DE21-DDF0-4468-A300-7BECBAFD0BCD 4 0.4936 -0.03553 0.372 0.000 0.004 0.624
#> 0A03E593-6931-419C-AE47-51D75185C2C0 3 0.4040 0.69091 0.000 0.000 0.752 0.248
#> 2416A3DC-A563-4FD1-A139-0E6EF7185211 2 0.0469 0.88337 0.000 0.988 0.012 0.000
#> 18B29573-822C-405F-B793-DBC8924866CE 2 0.0000 0.88871 0.000 1.000 0.000 0.000
#> 994EC227-B239-4CEE-AC96-EB5CC0AF583E 1 0.4382 0.69981 0.704 0.000 0.000 0.296
#> 950933A3-5757-4914-9DC5-C220C2A455FD 3 0.0469 0.73687 0.000 0.000 0.988 0.012
#> DBDFE95C-F941-407A-BE7D-D43D50143C4D 2 0.0188 0.88637 0.004 0.996 0.000 0.000
#> D024393C-29D0-41C4-AB86-7E94581FDD26 4 0.6478 0.60379 0.000 0.088 0.336 0.576
#> 4975AB35-93E5-400D-A429-CEA81BA89FFE 4 0.4624 0.05488 0.340 0.000 0.000 0.660
#> 666ADCA2-1AE4-4843-B1C8-8EE29C44AE74 4 0.7501 0.22935 0.332 0.000 0.196 0.472
#> A8F79C08-3943-4707-ADCB-890A955B5394 2 0.0000 0.88871 0.000 1.000 0.000 0.000
#> A81614ED-14CB-4EBC-988E-F67FBCBF62D8 2 0.0188 0.88638 0.004 0.996 0.000 0.000
#> E27E65C8-5B57-4C91-9D20-C075AEA2F2C5 1 0.0336 0.85861 0.992 0.000 0.000 0.008
#> 745F18CA-080D-42FE-BAA6-89AD7E3D3408 4 0.7034 0.59699 0.000 0.204 0.220 0.576
#> E755A625-799D-4A39-9D56-080228E0B669 2 0.1637 0.83766 0.060 0.940 0.000 0.000
#> 3D94EFB8-94D4-4FDE-97D8-18A159279996 3 0.4991 0.32993 0.000 0.388 0.608 0.004
#> 3D305C2E-6C86-4684-AA2A-155291AB4CC3 1 0.1118 0.86369 0.964 0.000 0.000 0.036
#> E140052A-5434-4C44-9873-0318D1D272CA 2 0.0000 0.88871 0.000 1.000 0.000 0.000
#> 68E56692-D46D-4A27-86CD-717E10AADDDA 3 0.0469 0.73687 0.000 0.000 0.988 0.012
#> 00A0586E-5F05-47B3-925C-87E811B0893B 3 0.4679 0.61896 0.000 0.000 0.648 0.352
#> E2B019A7-7C95-40FE-800C-D30E9730825C 1 0.7419 0.36973 0.436 0.000 0.168 0.396
#> 1B9ABB69-5CC6-4B6B-ABBC-71CC3274C7F0 1 0.4933 0.47572 0.568 0.000 0.000 0.432
#> FAE396AA-3C3C-4AF9-953D-385C41B2DB5B 4 0.1867 0.65010 0.072 0.000 0.000 0.928
#> 6BE4397D-1E5B-4486-83B4-EE0EC146C805 2 0.0000 0.88871 0.000 1.000 0.000 0.000
#> EE38BD4E-5A08-4639-912F-04203F53762F 1 0.0921 0.86300 0.972 0.000 0.000 0.028
#> 4050E7F8-80B6-46F2-8FF0-D4EC313E975B 3 0.4431 0.65641 0.000 0.000 0.696 0.304
#> F3565161-FFBE-4138-9773-558DB386710C 1 0.0817 0.86327 0.976 0.000 0.000 0.024
#> BA9ABEB1-D3F0-4F09-A647-25211C47C3D0 2 0.0000 0.88871 0.000 1.000 0.000 0.000
#> 9E41E79A-4028-4F60-8250-411F191B665C 1 0.0817 0.86327 0.976 0.000 0.000 0.024
#> 5F1D3EFD-ECDA-4C92-8D81-491484F09C95 3 0.4564 0.64401 0.000 0.000 0.672 0.328
#> 0DBA04CB-417D-4E2B-BE83-3563F45291C4 1 0.0817 0.86327 0.976 0.000 0.000 0.024
#> B9B882A5-194B-4F5C-B702-0CF71CA6D9D2 4 0.6684 0.45508 0.000 0.336 0.104 0.560
#> 67FE7638-B8F5-4631-B178-AC23B0382983 1 0.2216 0.85439 0.908 0.000 0.000 0.092
#> FE03FC2C-9A4E-4F89-8681-E33DFECCC692 2 0.1489 0.85015 0.044 0.952 0.000 0.004
#> 2B22B4B7-8A39-435C-BE3B-86FA84C8F941 3 0.7235 -0.20830 0.000 0.148 0.480 0.372
#> 00844B35-C108-4AEC-A687-4A91A2F33E6D 1 0.0817 0.86327 0.976 0.000 0.000 0.024
#> C221EE7A-6343-4B6D-B322-0A2C0F0B29AF 1 0.1211 0.86328 0.960 0.000 0.000 0.040
#> B28A6D56-7654-4829-BF1F-657C3C2C10D8 1 0.2704 0.83556 0.876 0.000 0.000 0.124
#> F4C7BCEC-3CD4-4D9A-89EA-0ED58EA0DCFE 1 0.4304 0.70704 0.716 0.000 0.000 0.284
#> F06FBFAB-D143-47AE-BEE7-51B48164764F 1 0.5534 0.68642 0.724 0.200 0.004 0.072
#> 525F522B-E865-4479-AE65-510903ABF46F 3 0.7181 0.30447 0.000 0.336 0.512 0.152
#> F0CB60E3-C412-46A2-918F-8C5C099AB224 4 0.1182 0.66148 0.016 0.000 0.016 0.968
#> 587F307F-6E1B-487E-8E47-A99AB43DC5B4 3 0.4431 0.65945 0.000 0.000 0.696 0.304
#> 883D9145-8414-4571-A3E1-516F03452C46 4 0.3311 0.52272 0.172 0.000 0.000 0.828
#> 4A917271-7EA0-4F43-B474-7F5EA756EB05 1 0.0817 0.86327 0.976 0.000 0.000 0.024
#> BB33015D-218C-4A1E-8839-95837D6E9B88 4 0.4790 0.07436 0.380 0.000 0.000 0.620
#> 021CC81F-710D-4EEA-B1D8-012A81715ACC 1 0.4543 0.66260 0.676 0.000 0.000 0.324
#> B00C4925-47E3-4442-ABEB-82D714A26587 4 0.1593 0.66143 0.016 0.004 0.024 0.956
#> F79B27D3-0426-47BB-9756-7E0759246E5E 2 0.0336 0.88427 0.000 0.992 0.008 0.000
#> 1F179559-D93E-491C-B499-64F86C31DAE0 3 0.4955 0.48767 0.000 0.000 0.556 0.444
#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 4 0.4164 0.50677 0.000 0.000 0.264 0.736
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 1 0.2271 0.84594 0.916 0.000 0.008 0.076
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 1 0.5453 0.58487 0.592 0.000 0.020 0.388
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 2 0.0000 0.88871 0.000 1.000 0.000 0.000
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 4 0.2053 0.65205 0.072 0.000 0.004 0.924
#> ED9794C0-AC60-4B54-8214-D26714871BBF 1 0.0000 0.85986 1.000 0.000 0.000 0.000
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 4 0.6478 0.61175 0.000 0.088 0.336 0.576
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 2 0.0000 0.88871 0.000 1.000 0.000 0.000
#> 18D816AF-394A-482F-B22E-896A43B1E481 2 0.0000 0.88871 0.000 1.000 0.000 0.000
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 4 0.4829 0.66381 0.068 0.000 0.156 0.776
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 3 0.0469 0.73687 0.000 0.000 0.988 0.012
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 2 0.0657 0.88119 0.000 0.984 0.012 0.004
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 3 0.4250 0.67953 0.000 0.000 0.724 0.276
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 4 0.2596 0.67715 0.000 0.068 0.024 0.908
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 4 0.6763 0.48391 0.000 0.320 0.116 0.564
#> 7E809698-2473-4EFE-B896-1637983EC596 4 0.7064 0.58962 0.000 0.220 0.208 0.572
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 3 0.1867 0.74475 0.000 0.000 0.928 0.072
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 3 0.4164 0.68606 0.000 0.000 0.736 0.264
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 2 0.0779 0.88053 0.000 0.980 0.016 0.004
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.0707 0.86301 0.980 0.000 0.000 0.020
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.0817 0.86327 0.976 0.000 0.000 0.024
#> 73F28A79-7D35-4FE9-849D-FFE681483928 4 0.0927 0.65453 0.016 0.000 0.008 0.976
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 1 0.4193 0.72161 0.732 0.000 0.000 0.268
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 3 0.0469 0.73687 0.000 0.000 0.988 0.012
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 1 0.1118 0.85544 0.964 0.000 0.000 0.036
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.0000 0.88871 0.000 1.000 0.000 0.000
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.0817 0.86327 0.976 0.000 0.000 0.024
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 4 0.2973 0.59525 0.144 0.000 0.000 0.856
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 1 0.3444 0.80915 0.816 0.000 0.000 0.184
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 1 0.7206 0.41134 0.460 0.000 0.140 0.400
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.1118 0.74299 0.000 0.000 0.964 0.036
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.0817 0.86327 0.976 0.000 0.000 0.024
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.0000 0.88871 0.000 1.000 0.000 0.000
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 4 0.4215 0.68029 0.000 0.072 0.104 0.824
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.0000 0.88871 0.000 1.000 0.000 0.000
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 2 0.7106 -0.01015 0.000 0.488 0.132 0.380
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 4 0.6700 0.61239 0.000 0.112 0.316 0.572
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 4 0.4832 0.68056 0.000 0.056 0.176 0.768
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 4 0.6494 0.60342 0.000 0.088 0.340 0.572
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.0817 0.86327 0.976 0.000 0.000 0.024
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.4331 0.67171 0.000 0.000 0.712 0.288
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.1389 0.85321 0.952 0.000 0.000 0.048
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.1004 0.86237 0.972 0.004 0.000 0.024
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.0592 0.85793 0.984 0.000 0.000 0.016
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.0000 0.88871 0.000 1.000 0.000 0.000
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 4 0.2973 0.53874 0.000 0.000 0.144 0.856
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.4356 0.69779 0.708 0.000 0.000 0.292
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 4 0.1139 0.66239 0.008 0.008 0.012 0.972
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.0817 0.86327 0.976 0.000 0.000 0.024
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 4 0.6172 0.63913 0.000 0.084 0.284 0.632
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 4 0.6893 0.60551 0.000 0.136 0.300 0.564
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 4 0.2197 0.67194 0.000 0.080 0.004 0.916
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 4 0.6440 0.59074 0.000 0.080 0.356 0.564
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 3 0.0592 0.73561 0.000 0.000 0.984 0.016
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 3 0.2081 0.67653 0.000 0.000 0.916 0.084
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.1389 0.85321 0.952 0.000 0.000 0.048
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.1716 0.84860 0.936 0.000 0.000 0.064
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 4 0.1792 0.64044 0.000 0.000 0.068 0.932
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.0469 0.88175 0.000 0.988 0.012 0.000
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.0336 0.88534 0.000 0.992 0.008 0.000
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 4 0.4981 0.45756 0.000 0.000 0.464 0.536
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.0336 0.73036 0.000 0.000 0.992 0.008
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.0000 0.88871 0.000 1.000 0.000 0.000
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 4 0.6783 0.61214 0.000 0.124 0.304 0.572
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 4 0.6468 0.59510 0.000 0.084 0.348 0.568
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.5055 0.38643 0.000 0.368 0.624 0.008
#> CA356591-D24F-41A8-8C9A-1178C7781510 4 0.4972 0.46237 0.000 0.000 0.456 0.544
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.4304 0.67443 0.000 0.000 0.716 0.284
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.0817 0.86327 0.976 0.000 0.000 0.024
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 4 0.3492 0.62427 0.000 0.000 0.188 0.796 0.016
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.5847 0.31875 0.000 0.376 0.544 0.016 0.064
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 4 0.2677 0.67793 0.000 0.000 0.112 0.872 0.016
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.0162 0.88303 0.000 0.996 0.000 0.004 0.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 4 0.4100 0.63431 0.000 0.000 0.192 0.764 0.044
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 2 0.6809 0.13042 0.240 0.464 0.008 0.000 0.288
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 4 0.3492 0.61552 0.000 0.000 0.188 0.796 0.016
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 4 0.2940 0.67683 0.000 0.004 0.072 0.876 0.048
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.0162 0.88303 0.000 0.996 0.000 0.004 0.000
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#> DBDFE95C-F941-407A-BE7D-D43D50143C4D 2 0.1093 0.87280 0.004 0.968 0.004 0.004 0.020
#> D024393C-29D0-41C4-AB86-7E94581FDD26 4 0.3031 0.67592 0.000 0.004 0.120 0.856 0.020
#> 4975AB35-93E5-400D-A429-CEA81BA89FFE 5 0.4104 0.61797 0.032 0.000 0.016 0.164 0.788
#> 666ADCA2-1AE4-4843-B1C8-8EE29C44AE74 5 0.7572 0.35074 0.328 0.000 0.060 0.196 0.416
#> A8F79C08-3943-4707-ADCB-890A955B5394 2 0.0162 0.88303 0.000 0.996 0.000 0.004 0.000
#> A81614ED-14CB-4EBC-988E-F67FBCBF62D8 2 0.1347 0.86611 0.008 0.960 0.008 0.004 0.020
#> E27E65C8-5B57-4C91-9D20-C075AEA2F2C5 1 0.3320 0.74806 0.820 0.000 0.012 0.004 0.164
#> 745F18CA-080D-42FE-BAA6-89AD7E3D3408 4 0.3459 0.65112 0.000 0.072 0.004 0.844 0.080
#> E755A625-799D-4A39-9D56-080228E0B669 2 0.2179 0.85295 0.024 0.928 0.012 0.008 0.028
#> 3D94EFB8-94D4-4FDE-97D8-18A159279996 3 0.7048 0.39286 0.000 0.300 0.520 0.084 0.096
#> 3D305C2E-6C86-4684-AA2A-155291AB4CC3 1 0.1965 0.75587 0.904 0.000 0.000 0.000 0.096
#> E140052A-5434-4C44-9873-0318D1D272CA 2 0.0162 0.88303 0.000 0.996 0.000 0.004 0.000
#> 68E56692-D46D-4A27-86CD-717E10AADDDA 3 0.3109 0.69128 0.000 0.000 0.800 0.200 0.000
#> 00A0586E-5F05-47B3-925C-87E811B0893B 3 0.3656 0.66268 0.000 0.000 0.784 0.020 0.196
#> E2B019A7-7C95-40FE-800C-D30E9730825C 5 0.5316 0.22243 0.040 0.000 0.348 0.012 0.600
#> 1B9ABB69-5CC6-4B6B-ABBC-71CC3274C7F0 5 0.5091 0.39254 0.372 0.000 0.000 0.044 0.584
#> FAE396AA-3C3C-4AF9-953D-385C41B2DB5B 5 0.6376 0.52870 0.276 0.000 0.020 0.136 0.568
#> 6BE4397D-1E5B-4486-83B4-EE0EC146C805 2 0.0162 0.88303 0.000 0.996 0.000 0.004 0.000
#> EE38BD4E-5A08-4639-912F-04203F53762F 1 0.3213 0.68080 0.836 0.000 0.016 0.004 0.144
#> 4050E7F8-80B6-46F2-8FF0-D4EC313E975B 3 0.3720 0.65408 0.000 0.000 0.760 0.012 0.228
#> F3565161-FFBE-4138-9773-558DB386710C 1 0.0404 0.78280 0.988 0.000 0.000 0.000 0.012
#> BA9ABEB1-D3F0-4F09-A647-25211C47C3D0 2 0.0162 0.88303 0.000 0.996 0.000 0.004 0.000
#> 9E41E79A-4028-4F60-8250-411F191B665C 1 0.0854 0.78025 0.976 0.000 0.008 0.004 0.012
#> 5F1D3EFD-ECDA-4C92-8D81-491484F09C95 3 0.2753 0.70620 0.000 0.000 0.856 0.008 0.136
#> 0DBA04CB-417D-4E2B-BE83-3563F45291C4 1 0.3741 0.70369 0.836 0.040 0.016 0.004 0.104
#> B9B882A5-194B-4F5C-B702-0CF71CA6D9D2 4 0.3619 0.64343 0.000 0.124 0.008 0.828 0.040
#> 67FE7638-B8F5-4631-B178-AC23B0382983 1 0.3966 0.64851 0.664 0.000 0.000 0.000 0.336
#> FE03FC2C-9A4E-4F89-8681-E33DFECCC692 2 0.2268 0.85116 0.008 0.916 0.008 0.008 0.060
#> 2B22B4B7-8A39-435C-BE3B-86FA84C8F941 4 0.5143 0.56468 0.000 0.080 0.104 0.752 0.064
#> 00844B35-C108-4AEC-A687-4A91A2F33E6D 1 0.0404 0.78280 0.988 0.000 0.000 0.000 0.012
#> C221EE7A-6343-4B6D-B322-0A2C0F0B29AF 1 0.1608 0.77715 0.928 0.000 0.000 0.000 0.072
#> B28A6D56-7654-4829-BF1F-657C3C2C10D8 5 0.4227 -0.28902 0.420 0.000 0.000 0.000 0.580
#> F4C7BCEC-3CD4-4D9A-89EA-0ED58EA0DCFE 5 0.4810 0.33659 0.400 0.000 0.008 0.012 0.580
#> F06FBFAB-D143-47AE-BEE7-51B48164764F 1 0.7334 0.39361 0.400 0.180 0.044 0.000 0.376
#> 525F522B-E865-4479-AE65-510903ABF46F 4 0.7738 -0.18332 0.000 0.188 0.356 0.380 0.076
#> F0CB60E3-C412-46A2-918F-8C5C099AB224 5 0.4885 0.48589 0.000 0.000 0.028 0.400 0.572
#> 587F307F-6E1B-487E-8E47-A99AB43DC5B4 3 0.3282 0.68507 0.000 0.000 0.804 0.008 0.188
#> 883D9145-8414-4571-A3E1-516F03452C46 5 0.2339 0.60090 0.004 0.000 0.004 0.100 0.892
#> 4A917271-7EA0-4F43-B474-7F5EA756EB05 1 0.1074 0.77812 0.968 0.000 0.016 0.004 0.012
#> BB33015D-218C-4A1E-8839-95837D6E9B88 5 0.5325 0.49022 0.308 0.000 0.000 0.076 0.616
#> 021CC81F-710D-4EEA-B1D8-012A81715ACC 5 0.5607 0.22880 0.448 0.000 0.016 0.040 0.496
#> B00C4925-47E3-4442-ABEB-82D714A26587 5 0.6066 0.39337 0.000 0.000 0.124 0.388 0.488
#> F79B27D3-0426-47BB-9756-7E0759246E5E 2 0.2696 0.83764 0.000 0.900 0.032 0.028 0.040
#> 1F179559-D93E-491C-B499-64F86C31DAE0 3 0.5440 0.40063 0.000 0.000 0.612 0.088 0.300
#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 3 0.6205 -0.06089 0.000 0.000 0.512 0.332 0.156
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 1 0.5085 0.62245 0.612 0.004 0.040 0.000 0.344
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 5 0.4754 0.37992 0.072 0.000 0.184 0.008 0.736
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 2 0.0162 0.88303 0.000 0.996 0.000 0.004 0.000
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 5 0.6124 0.56940 0.128 0.000 0.012 0.276 0.584
#> ED9794C0-AC60-4B54-8214-D26714871BBF 1 0.0451 0.78190 0.988 0.000 0.008 0.004 0.000
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 4 0.0960 0.68518 0.000 0.004 0.016 0.972 0.008
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 2 0.0162 0.88303 0.000 0.996 0.000 0.004 0.000
#> 18D816AF-394A-482F-B22E-896A43B1E481 2 0.0162 0.88303 0.000 0.996 0.000 0.004 0.000
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 5 0.8141 0.31540 0.272 0.000 0.100 0.292 0.336
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 3 0.2966 0.69988 0.000 0.000 0.816 0.184 0.000
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 2 0.3837 0.57251 0.000 0.692 0.000 0.308 0.000
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 3 0.2416 0.72082 0.000 0.000 0.888 0.012 0.100
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 4 0.5624 -0.07295 0.000 0.000 0.080 0.532 0.388
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 4 0.4912 0.58646 0.000 0.128 0.008 0.736 0.128
#> 7E809698-2473-4EFE-B896-1637983EC596 4 0.4778 0.60200 0.000 0.100 0.012 0.752 0.136
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 3 0.1386 0.73607 0.000 0.000 0.952 0.032 0.016
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 3 0.2361 0.72333 0.000 0.000 0.892 0.012 0.096
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 2 0.4790 0.49290 0.000 0.628 0.004 0.344 0.024
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.0566 0.78143 0.984 0.000 0.012 0.004 0.000
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.0727 0.78079 0.980 0.000 0.012 0.004 0.004
#> 73F28A79-7D35-4FE9-849D-FFE681483928 5 0.5719 0.48454 0.000 0.000 0.096 0.352 0.552
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 1 0.4735 0.25851 0.608 0.000 0.008 0.012 0.372
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 3 0.3039 0.69627 0.000 0.000 0.808 0.192 0.000
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 1 0.4024 0.70323 0.728 0.004 0.004 0.004 0.260
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.0162 0.88303 0.000 0.996 0.000 0.004 0.000
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.0613 0.78143 0.984 0.000 0.008 0.004 0.004
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 5 0.6309 0.58725 0.124 0.000 0.024 0.268 0.584
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 5 0.3837 0.10645 0.308 0.000 0.000 0.000 0.692
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 5 0.4008 0.43643 0.052 0.004 0.108 0.016 0.820
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.2513 0.73753 0.000 0.000 0.876 0.116 0.008
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.0613 0.78143 0.984 0.000 0.008 0.004 0.004
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.0162 0.88303 0.000 0.996 0.000 0.004 0.000
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 4 0.5547 0.44153 0.000 0.000 0.148 0.644 0.208
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.0693 0.87791 0.000 0.980 0.000 0.008 0.012
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 4 0.4711 0.60121 0.000 0.152 0.040 0.764 0.044
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 4 0.2302 0.68735 0.000 0.016 0.048 0.916 0.020
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 5 0.4627 0.37517 0.000 0.000 0.012 0.444 0.544
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 4 0.2833 0.67686 0.000 0.004 0.120 0.864 0.012
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.0451 0.78190 0.988 0.000 0.008 0.004 0.000
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.2470 0.72022 0.000 0.000 0.884 0.012 0.104
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.4170 0.68613 0.712 0.004 0.012 0.000 0.272
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.2575 0.74359 0.904 0.060 0.016 0.004 0.016
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.3480 0.71066 0.752 0.000 0.000 0.000 0.248
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.0162 0.88303 0.000 0.996 0.000 0.004 0.000
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 5 0.6535 0.42221 0.000 0.000 0.276 0.244 0.480
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.4746 -0.07129 0.504 0.000 0.016 0.000 0.480
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 5 0.4317 0.53541 0.000 0.004 0.008 0.320 0.668
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.0613 0.78143 0.984 0.000 0.008 0.004 0.004
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 4 0.4573 0.60087 0.000 0.000 0.164 0.744 0.092
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 4 0.1485 0.68469 0.000 0.032 0.020 0.948 0.000
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 5 0.4610 0.41495 0.000 0.000 0.012 0.432 0.556
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 4 0.3194 0.66616 0.000 0.000 0.148 0.832 0.020
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 3 0.3942 0.63859 0.000 0.000 0.728 0.260 0.012
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 3 0.4555 0.23520 0.000 0.000 0.520 0.472 0.008
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.3586 0.70039 0.736 0.000 0.000 0.000 0.264
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.4130 0.67696 0.696 0.000 0.012 0.000 0.292
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 5 0.6042 0.38975 0.000 0.000 0.120 0.396 0.484
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.3046 0.83023 0.000 0.880 0.020 0.052 0.048
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.2754 0.82863 0.000 0.880 0.000 0.080 0.040
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 4 0.4193 0.63628 0.000 0.000 0.212 0.748 0.040
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.5176 0.54761 0.000 0.000 0.572 0.380 0.048
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.0775 0.87738 0.004 0.980 0.004 0.004 0.008
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 4 0.1626 0.68759 0.000 0.016 0.044 0.940 0.000
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 4 0.2935 0.67598 0.000 0.004 0.120 0.860 0.016
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.5413 0.55961 0.000 0.244 0.664 0.012 0.080
#> CA356591-D24F-41A8-8C9A-1178C7781510 4 0.3163 0.65925 0.000 0.000 0.164 0.824 0.012
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.2361 0.72333 0.000 0.000 0.892 0.012 0.096
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.0290 0.78280 0.992 0.000 0.000 0.000 0.008
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 4 0.4758 0.19649 0.000 0.000 0.060 0.580 0.000 0.360
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.6566 0.12421 0.000 0.328 0.400 0.028 0.000 0.244
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 4 0.4378 0.38962 0.000 0.000 0.044 0.700 0.012 0.244
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.0146 0.85561 0.000 0.996 0.000 0.000 0.000 0.004
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 4 0.6072 0.24463 0.000 0.000 0.052 0.540 0.108 0.300
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 2 0.7366 0.07139 0.140 0.388 0.000 0.000 0.204 0.268
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 4 0.4389 0.21432 0.000 0.000 0.032 0.596 0.000 0.372
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 4 0.3892 0.44539 0.000 0.000 0.028 0.780 0.032 0.160
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.0146 0.85504 0.000 0.996 0.000 0.004 0.000 0.000
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.0146 0.85561 0.000 0.996 0.000 0.000 0.000 0.004
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.2950 0.78186 0.000 0.828 0.000 0.000 0.024 0.148
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.0972 0.58820 0.000 0.000 0.964 0.000 0.028 0.008
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.4986 0.64273 0.676 0.000 0.048 0.000 0.048 0.228
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.0458 0.85103 0.000 0.984 0.000 0.016 0.000 0.000
#> ECB2DF14-CF68-44D4-8719-973AE448B992 5 0.2985 0.63326 0.000 0.000 0.000 0.100 0.844 0.056
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 4 0.4186 0.44440 0.000 0.000 0.024 0.752 0.044 0.180
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 3 0.3786 0.48649 0.000 0.000 0.768 0.000 0.064 0.168
#> 3282F146-2782-4877-9EFE-6020AC277A8C 4 0.3863 0.40075 0.000 0.000 0.020 0.728 0.008 0.244
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 4 0.5984 0.27738 0.000 0.000 0.164 0.564 0.240 0.032
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 5 0.7142 0.19865 0.000 0.144 0.000 0.216 0.456 0.184
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.2163 0.80653 0.000 0.892 0.000 0.016 0.000 0.092
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 5 0.4973 0.58295 0.000 0.000 0.020 0.140 0.692 0.148
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.0000 0.85570 0.000 1.000 0.000 0.000 0.000 0.000
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 1 0.6903 0.46378 0.388 0.000 0.068 0.000 0.196 0.348
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 3 0.6716 -0.15202 0.000 0.000 0.404 0.248 0.308 0.040
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 4 0.5149 0.30751 0.000 0.000 0.020 0.620 0.288 0.072
#> C945DDA9-0194-46F4-89E2-13883284D5A4 3 0.5558 0.07461 0.000 0.000 0.560 0.336 0.040 0.064
#> 79B11925-9772-474F-A729-D00315959710 1 0.0858 0.74076 0.968 0.000 0.000 0.000 0.004 0.028
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 4 0.2667 0.43258 0.000 0.128 0.000 0.852 0.000 0.020
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 1 0.6569 0.52657 0.464 0.000 0.064 0.000 0.144 0.328
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 5 0.5889 0.44154 0.000 0.000 0.268 0.152 0.556 0.024
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.5180 -0.01939 0.504 0.000 0.004 0.000 0.416 0.076
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 4 0.5780 0.24372 0.000 0.352 0.000 0.528 0.080 0.040
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 1 0.6771 0.49060 0.420 0.000 0.080 0.000 0.144 0.356
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.2692 0.56110 0.000 0.000 0.840 0.000 0.148 0.012
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#> 3D94EFB8-94D4-4FDE-97D8-18A159279996 3 0.7695 0.03380 0.000 0.088 0.356 0.224 0.028 0.304
#> 3D305C2E-6C86-4684-AA2A-155291AB4CC3 1 0.2801 0.70594 0.860 0.000 0.000 0.000 0.068 0.072
#> E140052A-5434-4C44-9873-0318D1D272CA 2 0.0000 0.85570 0.000 1.000 0.000 0.000 0.000 0.000
#> 68E56692-D46D-4A27-86CD-717E10AADDDA 3 0.4751 0.30197 0.000 0.000 0.616 0.072 0.000 0.312
#> 00A0586E-5F05-47B3-925C-87E811B0893B 3 0.2278 0.57370 0.000 0.000 0.900 0.004 0.044 0.052
#> E2B019A7-7C95-40FE-800C-D30E9730825C 3 0.5672 0.15766 0.000 0.000 0.528 0.000 0.260 0.212
#> 1B9ABB69-5CC6-4B6B-ABBC-71CC3274C7F0 5 0.4432 0.39947 0.364 0.000 0.000 0.000 0.600 0.036
#> FAE396AA-3C3C-4AF9-953D-385C41B2DB5B 5 0.4892 0.47450 0.320 0.000 0.024 0.024 0.624 0.008
#> 6BE4397D-1E5B-4486-83B4-EE0EC146C805 2 0.0000 0.85570 0.000 1.000 0.000 0.000 0.000 0.000
#> EE38BD4E-5A08-4639-912F-04203F53762F 1 0.3948 0.50638 0.748 0.000 0.000 0.000 0.188 0.064
#> 4050E7F8-80B6-46F2-8FF0-D4EC313E975B 3 0.5224 0.46376 0.000 0.000 0.616 0.004 0.244 0.136
#> F3565161-FFBE-4138-9773-558DB386710C 1 0.1434 0.73947 0.940 0.000 0.000 0.000 0.012 0.048
#> BA9ABEB1-D3F0-4F09-A647-25211C47C3D0 2 0.0000 0.85570 0.000 1.000 0.000 0.000 0.000 0.000
#> 9E41E79A-4028-4F60-8250-411F191B665C 1 0.1010 0.73664 0.960 0.000 0.000 0.000 0.004 0.036
#> 5F1D3EFD-ECDA-4C92-8D81-491484F09C95 3 0.1498 0.58273 0.000 0.000 0.940 0.000 0.032 0.028
#> 0DBA04CB-417D-4E2B-BE83-3563F45291C4 1 0.5060 0.50977 0.712 0.072 0.000 0.000 0.132 0.084
#> B9B882A5-194B-4F5C-B702-0CF71CA6D9D2 4 0.2629 0.47061 0.000 0.048 0.000 0.888 0.028 0.036
#> 67FE7638-B8F5-4631-B178-AC23B0382983 1 0.5887 0.34470 0.432 0.000 0.000 0.000 0.364 0.204
#> FE03FC2C-9A4E-4F89-8681-E33DFECCC692 2 0.2581 0.80141 0.000 0.856 0.000 0.000 0.016 0.128
#> 2B22B4B7-8A39-435C-BE3B-86FA84C8F941 4 0.4869 0.22842 0.000 0.044 0.028 0.688 0.008 0.232
#> 00844B35-C108-4AEC-A687-4A91A2F33E6D 1 0.1500 0.73926 0.936 0.000 0.000 0.000 0.012 0.052
#> C221EE7A-6343-4B6D-B322-0A2C0F0B29AF 1 0.3225 0.71549 0.828 0.000 0.000 0.000 0.092 0.080
#> B28A6D56-7654-4829-BF1F-657C3C2C10D8 5 0.5789 0.15769 0.132 0.000 0.012 0.000 0.492 0.364
#> F4C7BCEC-3CD4-4D9A-89EA-0ED58EA0DCFE 5 0.4734 0.43930 0.348 0.000 0.016 0.000 0.604 0.032
#> F06FBFAB-D143-47AE-BEE7-51B48164764F 6 0.7978 -0.33489 0.224 0.136 0.048 0.000 0.184 0.408
#> 525F522B-E865-4479-AE65-510903ABF46F 4 0.7059 -0.11286 0.000 0.056 0.220 0.436 0.012 0.276
#> F0CB60E3-C412-46A2-918F-8C5C099AB224 5 0.3607 0.58912 0.000 0.000 0.016 0.204 0.768 0.012
#> 587F307F-6E1B-487E-8E47-A99AB43DC5B4 3 0.3419 0.54578 0.000 0.000 0.792 0.004 0.176 0.028
#> 883D9145-8414-4571-A3E1-516F03452C46 5 0.2692 0.60146 0.000 0.000 0.000 0.012 0.840 0.148
#> 4A917271-7EA0-4F43-B474-7F5EA756EB05 1 0.1010 0.72904 0.960 0.000 0.000 0.000 0.004 0.036
#> BB33015D-218C-4A1E-8839-95837D6E9B88 5 0.4724 0.49628 0.288 0.000 0.000 0.012 0.648 0.052
#> 021CC81F-710D-4EEA-B1D8-012A81715ACC 5 0.4181 0.37633 0.384 0.000 0.000 0.004 0.600 0.012
#> B00C4925-47E3-4442-ABEB-82D714A26587 5 0.4989 0.56029 0.000 0.000 0.116 0.168 0.692 0.024
#> F79B27D3-0426-47BB-9756-7E0759246E5E 2 0.3376 0.68898 0.000 0.764 0.000 0.016 0.000 0.220
#> 1F179559-D93E-491C-B499-64F86C31DAE0 3 0.4353 0.38589 0.000 0.000 0.696 0.004 0.244 0.056
#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 3 0.6123 0.17291 0.000 0.000 0.560 0.136 0.252 0.052
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 1 0.6840 0.48476 0.408 0.000 0.076 0.000 0.164 0.352
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 5 0.5902 0.31220 0.000 0.000 0.268 0.000 0.472 0.260
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 2 0.0405 0.85526 0.000 0.988 0.000 0.000 0.008 0.004
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 5 0.5685 0.57093 0.196 0.000 0.000 0.104 0.636 0.064
#> ED9794C0-AC60-4B54-8214-D26714871BBF 1 0.0146 0.73853 0.996 0.000 0.000 0.000 0.000 0.004
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 4 0.1643 0.47177 0.000 0.000 0.000 0.924 0.008 0.068
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 2 0.0000 0.85570 0.000 1.000 0.000 0.000 0.000 0.000
#> 18D816AF-394A-482F-B22E-896A43B1E481 2 0.0146 0.85514 0.000 0.996 0.000 0.004 0.000 0.000
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 5 0.7928 0.18963 0.324 0.000 0.032 0.128 0.324 0.192
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 3 0.4604 0.32858 0.000 0.000 0.636 0.064 0.000 0.300
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 4 0.4445 0.17417 0.000 0.396 0.000 0.572 0.000 0.032
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 3 0.1333 0.59101 0.000 0.000 0.944 0.000 0.048 0.008
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 5 0.5937 0.27577 0.000 0.000 0.124 0.356 0.496 0.024
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 4 0.4986 0.40708 0.000 0.044 0.000 0.696 0.188 0.072
#> 7E809698-2473-4EFE-B896-1637983EC596 4 0.4755 0.42092 0.000 0.048 0.000 0.724 0.164 0.064
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 3 0.0632 0.58857 0.000 0.000 0.976 0.000 0.000 0.024
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 3 0.1168 0.58657 0.000 0.000 0.956 0.000 0.028 0.016
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 4 0.5625 0.16490 0.000 0.276 0.000 0.532 0.000 0.192
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.0603 0.73517 0.980 0.000 0.000 0.000 0.004 0.016
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.0603 0.73517 0.980 0.000 0.000 0.000 0.004 0.016
#> 73F28A79-7D35-4FE9-849D-FFE681483928 5 0.5322 0.54353 0.000 0.000 0.148 0.164 0.660 0.028
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 1 0.4903 -0.20346 0.476 0.000 0.000 0.000 0.464 0.060
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 3 0.4604 0.33073 0.000 0.000 0.636 0.064 0.000 0.300
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 1 0.5504 0.60938 0.600 0.000 0.020 0.000 0.116 0.264
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.0146 0.85552 0.000 0.996 0.000 0.000 0.000 0.004
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.0000 0.73913 1.000 0.000 0.000 0.000 0.000 0.000
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 5 0.4931 0.58956 0.184 0.000 0.008 0.084 0.704 0.020
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 5 0.4934 0.36361 0.112 0.000 0.000 0.000 0.632 0.256
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 5 0.4879 0.38465 0.008 0.000 0.052 0.000 0.584 0.356
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.3206 0.55087 0.000 0.000 0.828 0.104 0.000 0.068
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.0000 0.73913 1.000 0.000 0.000 0.000 0.000 0.000
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.0603 0.85242 0.000 0.980 0.000 0.000 0.004 0.016
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 4 0.6265 0.11649 0.000 0.000 0.164 0.484 0.320 0.032
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.1588 0.83663 0.000 0.924 0.000 0.000 0.004 0.072
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 4 0.3715 0.33035 0.000 0.048 0.000 0.764 0.000 0.188
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 4 0.3959 0.40163 0.000 0.000 0.020 0.724 0.012 0.244
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 5 0.3720 0.55138 0.000 0.000 0.000 0.236 0.736 0.028
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 4 0.4438 0.38688 0.000 0.000 0.048 0.696 0.012 0.244
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.0146 0.73853 0.996 0.000 0.000 0.000 0.000 0.004
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.1334 0.58702 0.000 0.000 0.948 0.000 0.020 0.032
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.5609 0.60385 0.580 0.000 0.020 0.000 0.120 0.280
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.2515 0.69530 0.892 0.040 0.000 0.000 0.016 0.052
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.5131 0.62942 0.620 0.000 0.008 0.000 0.100 0.272
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.0000 0.85570 0.000 1.000 0.000 0.000 0.000 0.000
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 5 0.5758 0.19903 0.000 0.000 0.444 0.068 0.448 0.040
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 5 0.4835 0.38701 0.380 0.000 0.024 0.000 0.572 0.024
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 5 0.4314 0.58570 0.000 0.000 0.000 0.184 0.720 0.096
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.0291 0.73776 0.992 0.000 0.000 0.000 0.004 0.004
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 4 0.4842 0.42228 0.000 0.000 0.184 0.708 0.068 0.040
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 4 0.0692 0.46955 0.000 0.000 0.004 0.976 0.000 0.020
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 5 0.4243 0.51051 0.000 0.000 0.008 0.272 0.688 0.032
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 4 0.4837 0.36085 0.000 0.000 0.076 0.664 0.012 0.248
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 3 0.5781 -0.12008 0.000 0.000 0.428 0.176 0.000 0.396
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 4 0.6049 -0.15771 0.000 0.000 0.220 0.436 0.004 0.340
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.5665 0.59513 0.564 0.000 0.016 0.000 0.132 0.288
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.5924 0.56961 0.520 0.000 0.020 0.000 0.144 0.316
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 5 0.5977 0.44694 0.000 0.000 0.216 0.192 0.564 0.028
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.4727 0.60700 0.000 0.676 0.000 0.096 0.004 0.224
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.4585 0.62942 0.000 0.704 0.000 0.200 0.008 0.088
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 4 0.6341 0.34976 0.000 0.000 0.200 0.572 0.108 0.120
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 4 0.6158 -0.27640 0.000 0.004 0.368 0.380 0.000 0.248
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.0858 0.84805 0.000 0.968 0.000 0.000 0.004 0.028
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 4 0.2805 0.44344 0.000 0.000 0.012 0.828 0.000 0.160
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 4 0.4543 0.37507 0.000 0.000 0.052 0.684 0.012 0.252
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.6292 0.31049 0.000 0.180 0.528 0.012 0.020 0.260
#> CA356591-D24F-41A8-8C9A-1178C7781510 4 0.4532 0.30520 0.000 0.000 0.056 0.636 0.000 0.308
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.1168 0.58657 0.000 0.000 0.956 0.000 0.028 0.016
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.1075 0.74067 0.952 0.000 0.000 0.000 0.000 0.048
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
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 17888 rows and 430 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 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 0.434 0.740 0.889 0.5004 0.499 0.499
#> 3 3 0.704 0.746 0.899 0.3335 0.698 0.467
#> 4 4 0.773 0.807 0.897 0.1205 0.852 0.596
#> 5 5 0.696 0.604 0.756 0.0627 0.926 0.724
#> 6 6 0.698 0.485 0.736 0.0405 0.900 0.590
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
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 2 0.1414 0.86403 0.020 0.980
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 2 0.9710 0.38402 0.400 0.600
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 2 0.0376 0.87349 0.004 0.996
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.0000 0.87572 0.000 1.000
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#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.0000 0.84380 1.000 0.000
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.7219 0.75344 0.800 0.200
#> 73F28A79-7D35-4FE9-849D-FFE681483928 1 0.7219 0.75344 0.800 0.200
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 1 0.0000 0.84380 1.000 0.000
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 1 0.6887 0.68755 0.816 0.184
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 1 0.0000 0.84380 1.000 0.000
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.0000 0.87572 0.000 1.000
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.7219 0.75344 0.800 0.200
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 1 0.7219 0.75344 0.800 0.200
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 1 0.0000 0.84380 1.000 0.000
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 1 0.0000 0.84380 1.000 0.000
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 1 0.9963 0.05873 0.536 0.464
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.7219 0.75344 0.800 0.200
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.0000 0.87572 0.000 1.000
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 2 0.8144 0.57167 0.252 0.748
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.0000 0.87572 0.000 1.000
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 2 0.0000 0.87572 0.000 1.000
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 2 0.0000 0.87572 0.000 1.000
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 2 0.4022 0.81181 0.080 0.920
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 2 0.0000 0.87572 0.000 1.000
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.7219 0.75344 0.800 0.200
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 1 0.0000 0.84380 1.000 0.000
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.0000 0.84380 1.000 0.000
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 2 0.9970 -0.01062 0.468 0.532
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.0000 0.84380 1.000 0.000
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.0000 0.87572 0.000 1.000
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 1 0.0000 0.84380 1.000 0.000
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.0000 0.84380 1.000 0.000
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 1 0.9754 0.44536 0.592 0.408
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.7219 0.75344 0.800 0.200
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 2 0.6247 0.72329 0.156 0.844
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 2 0.0000 0.87572 0.000 1.000
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 2 0.7745 0.61766 0.228 0.772
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 2 0.0376 0.87349 0.004 0.996
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 2 0.9815 0.33501 0.420 0.580
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 2 0.9427 0.48237 0.360 0.640
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.0000 0.84380 1.000 0.000
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.0000 0.84380 1.000 0.000
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 1 0.0000 0.84380 1.000 0.000
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.7219 0.72218 0.200 0.800
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.0000 0.87572 0.000 1.000
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 2 0.7219 0.72218 0.200 0.800
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 2 0.7219 0.72218 0.200 0.800
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.0000 0.87572 0.000 1.000
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 2 0.0000 0.87572 0.000 1.000
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 2 0.0000 0.87572 0.000 1.000
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 1 0.9552 0.31677 0.624 0.376
#> CA356591-D24F-41A8-8C9A-1178C7781510 2 0.7219 0.72218 0.200 0.800
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 1 0.0000 0.84380 1.000 0.000
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.7219 0.75344 0.800 0.200
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 3 0.2448 0.7659 0.000 0.076 0.924
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 2 0.6235 0.2239 0.000 0.564 0.436
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 3 0.5431 0.5512 0.000 0.284 0.716
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.0000 0.8662 0.000 1.000 0.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 3 0.0000 0.8133 0.000 0.000 1.000
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 1 0.4750 0.7056 0.784 0.216 0.000
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 3 0.0000 0.8133 0.000 0.000 1.000
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 2 0.6126 0.2484 0.000 0.600 0.400
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.0000 0.8662 0.000 1.000 0.000
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.0000 0.8662 0.000 1.000 0.000
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.4121 0.7073 0.168 0.832 0.000
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.0000 0.8133 0.000 0.000 1.000
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.3686 0.8039 0.860 0.000 0.140
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.0000 0.8662 0.000 1.000 0.000
#> ECB2DF14-CF68-44D4-8719-973AE448B992 1 0.0000 0.9477 1.000 0.000 0.000
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 2 0.6111 0.2592 0.000 0.604 0.396
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 3 0.6126 0.2769 0.400 0.000 0.600
#> 3282F146-2782-4877-9EFE-6020AC277A8C 3 0.6154 0.3485 0.000 0.408 0.592
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 3 0.6126 0.3672 0.000 0.400 0.600
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 2 0.4062 0.7119 0.164 0.836 0.000
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.0000 0.8662 0.000 1.000 0.000
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 1 0.3589 0.8652 0.900 0.048 0.052
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.0000 0.8662 0.000 1.000 0.000
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 1 0.0000 0.9477 1.000 0.000 0.000
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 3 0.0000 0.8133 0.000 0.000 1.000
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 2 0.0237 0.8634 0.000 0.996 0.004
#> C945DDA9-0194-46F4-89E2-13883284D5A4 3 0.0000 0.8133 0.000 0.000 1.000
#> 79B11925-9772-474F-A729-D00315959710 1 0.0000 0.9477 1.000 0.000 0.000
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 2 0.0000 0.8662 0.000 1.000 0.000
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 1 0.0000 0.9477 1.000 0.000 0.000
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 3 0.0000 0.8133 0.000 0.000 1.000
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.0000 0.9477 1.000 0.000 0.000
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.0000 0.8662 0.000 1.000 0.000
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 1 0.4346 0.7441 0.816 0.000 0.184
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.0000 0.8133 0.000 0.000 1.000
#> 26796E5F-C0C2-466C-9012-882F6D29C149 3 0.0000 0.8133 0.000 0.000 1.000
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 0.0000 0.9477 1.000 0.000 0.000
#> 1492D21A-6458-4B49-B530-7A327FCDD031 1 0.0000 0.9477 1.000 0.000 0.000
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 2 0.6661 0.2296 0.012 0.588 0.400
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 2 0.6274 0.0713 0.000 0.544 0.456
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.0000 0.9477 1.000 0.000 0.000
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 1 0.0000 0.9477 1.000 0.000 0.000
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.0000 0.8662 0.000 1.000 0.000
#> E846120D-D9E6-46F8-9647-2272AB064072 1 0.0000 0.9477 1.000 0.000 0.000
#> 36880C8C-91A9-49A9-A2D5-957161737F31 2 0.0000 0.8662 0.000 1.000 0.000
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.0000 0.8662 0.000 1.000 0.000
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 2 0.0000 0.8662 0.000 1.000 0.000
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 1 0.0000 0.9477 1.000 0.000 0.000
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 1 0.6140 0.2979 0.596 0.000 0.404
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 2 0.0000 0.8662 0.000 1.000 0.000
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 3 0.0000 0.8133 0.000 0.000 1.000
#> 116F3F29-AB89-4F00-9003-559041E285EB 3 0.0000 0.8133 0.000 0.000 1.000
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.0000 0.8662 0.000 1.000 0.000
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 3 0.0000 0.8133 0.000 0.000 1.000
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 2 0.4121 0.6956 0.000 0.832 0.168
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 3 0.6126 0.3672 0.000 0.400 0.600
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 1 0.0000 0.9477 1.000 0.000 0.000
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 2 0.0000 0.8662 0.000 1.000 0.000
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 2 0.6126 0.3125 0.000 0.600 0.400
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.0000 0.9477 1.000 0.000 0.000
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 3 0.0000 0.8133 0.000 0.000 1.000
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.0000 0.8662 0.000 1.000 0.000
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 3 0.0000 0.8133 0.000 0.000 1.000
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 1 0.0000 0.9477 1.000 0.000 0.000
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 2 0.5560 0.4811 0.000 0.700 0.300
#> CD576099-5450-4232-9B59-08341BED8FFA 2 0.6126 0.2484 0.000 0.600 0.400
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 2 0.5591 0.4737 0.000 0.696 0.304
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 1 0.0000 0.9477 1.000 0.000 0.000
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 1 0.0000 0.9477 1.000 0.000 0.000
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 2 0.0000 0.8662 0.000 1.000 0.000
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 3 0.6126 0.3672 0.000 0.400 0.600
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 3 0.0000 0.8133 0.000 0.000 1.000
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 1 0.0000 0.9477 1.000 0.000 0.000
#> 57E380FC-B6AB-466F-9936-D52192888008 1 0.0000 0.9477 1.000 0.000 0.000
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 3 0.5016 0.6081 0.000 0.240 0.760
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 1 0.0000 0.9477 1.000 0.000 0.000
#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 2 0.4399 0.6684 0.000 0.812 0.188
#> 1D4F0B66-720D-484D-B8D5-2B290ED208A8 3 0.0000 0.8133 0.000 0.000 1.000
#> C886CA33-5080-4E3E-88A2-F9A3CF03A857 3 0.6126 0.2769 0.400 0.000 0.600
#> 9AC963E4-F82D-460E-9CAD-C651B879780A 2 0.0000 0.8662 0.000 1.000 0.000
#> 1B6CF403-D0AE-4FFE-A884-660A58F32660 3 0.0000 0.8133 0.000 0.000 1.000
#> B33316E1-11FD-4C10-956A-C9C6F78508C5 1 0.0000 0.9477 1.000 0.000 0.000
#> BB02EF6A-C57D-4A79-99C1-ED43A72FFAF7 2 0.0000 0.8662 0.000 1.000 0.000
#> 4DBA59AD-9393-4BE6-88CB-852C62C4A334 3 0.0000 0.8133 0.000 0.000 1.000
#> 7887EDC4-A0D7-4E57-B3A1-330A5683457D 1 0.2711 0.8654 0.912 0.000 0.088
#> 2CD3AC14-46FB-4260-AE5C-4305C68D49BC 2 0.5591 0.4669 0.000 0.696 0.304
#> BAB8FA79-208A-488D-B955-806263E5D6BB 3 0.6126 0.3672 0.000 0.400 0.600
#> 98C990E7-7E3B-4200-A88D-E641931302EA 1 0.0000 0.9477 1.000 0.000 0.000
#> 894EE382-5ACA-4DEB-9267-99ADBEF6DA19 2 0.6111 0.2584 0.000 0.604 0.396
#> 98795F95-D26D-438A-AF46-B3BC3553F020 3 0.1411 0.7940 0.036 0.000 0.964
#> 9AD4C328-1554-4C92-931C-30CE8F305FDE 1 0.0000 0.9477 1.000 0.000 0.000
#> 4D1518D9-D968-4E7F-A702-5157A1A2E83E 1 0.0000 0.9477 1.000 0.000 0.000
#> A6E8AF8C-5D7B-4197-990B-786A869ACB96 1 0.0000 0.9477 1.000 0.000 0.000
#> DF8B4E19-8C78-4A68-8FAE-DFF01076BC97 2 0.6126 0.3125 0.000 0.600 0.400
#> 8D2C608F-3280-4CA2-B996-9AE3DBDBBD28 3 0.5016 0.5763 0.000 0.240 0.760
#> E7BCBD8D-1219-4A99-948A-47A258A5CD8B 3 0.6126 0.3672 0.000 0.400 0.600
#> 2C9633A5-8ACB-4D16-8120-F098BA14BB04 2 0.0000 0.8662 0.000 1.000 0.000
#> 985D9304-E4DA-4038-B235-067CBFEAC902 2 0.0000 0.8662 0.000 1.000 0.000
#> D34CE243-6F4F-4158-9FC4-77E1640E8A91 2 0.0000 0.8662 0.000 1.000 0.000
#> 65131575-48D3-42C2-B411-3DB871EF5EE1 3 0.6126 0.3672 0.000 0.400 0.600
#> 1AE13DFA-670C-43EE-9898-8FA831AEDDB3 3 0.0000 0.8133 0.000 0.000 1.000
#> 3ACDCD29-1B8D-455D-9EE9-D6C903B16D09 1 0.1031 0.9278 0.976 0.000 0.024
#> C6FBC35B-0113-4F00-BE1A-831D2C551055 1 0.0000 0.9477 1.000 0.000 0.000
#> A8F3285D-A85E-4E73-9D20-9D14AA51916B 3 0.0000 0.8133 0.000 0.000 1.000
#> 51601A73-2D75-4056-AEBB-8FF8DB813450 3 0.0000 0.8133 0.000 0.000 1.000
#> 75021778-A96B-4F57-8C26-68E8F33D7EB7 3 0.6126 0.3672 0.000 0.400 0.600
#> 71FFB439-22A1-4EBB-AEA6-A6BCA8CA6648 3 0.0000 0.8133 0.000 0.000 1.000
#> BEDB0135-0A26-44EF-9028-C4907403B110 3 0.0000 0.8133 0.000 0.000 1.000
#> 3B8BA56B-0E7B-4754-8729-8D613D0484E1 1 0.0000 0.9477 1.000 0.000 0.000
#> 100BF963-6103-45E6-A760-E44649580CF5 3 0.6126 0.3672 0.000 0.400 0.600
#> C26F21EA-5911-483F-BF64-03904BF93A20 2 0.0000 0.8662 0.000 1.000 0.000
#> 9E50162D-8149-41D2-86C1-1C892EB98DFA 3 0.6126 0.3672 0.000 0.400 0.600
#> 09521B29-B002-4AAD-93F1-6E600DD31515 2 0.0000 0.8662 0.000 1.000 0.000
#> 45FD44A6-7976-4453-BD3F-99D21DA3ECC2 1 0.0000 0.9477 1.000 0.000 0.000
#> 9EE0976F-1422-4F65-8837-93A192984CDF 3 0.0000 0.8133 0.000 0.000 1.000
#> 2FBAA1AA-39F7-4C58-A7DA-76B1F4B26B2E 2 0.0000 0.8662 0.000 1.000 0.000
#> B7A695A4-0B74-41E9-8662-4010C8CA38F0 3 0.6126 0.3049 0.400 0.000 0.600
#> E9013476-D037-41EA-921E-E9E62E93B75C 1 0.0000 0.9477 1.000 0.000 0.000
#> 13FD88E9-3B06-4CB6-949F-395DDDE4B75B 2 0.0000 0.8662 0.000 1.000 0.000
#> 9103E60E-D1FC-4F0F-B2CD-751921E14EBA 3 0.0000 0.8133 0.000 0.000 1.000
#> 4AEFB9F1-A55D-472E-A963-5BB3364D9D8C 2 0.0000 0.8662 0.000 1.000 0.000
#> 05B80211-2230-436E-BA34-FD48337A5DE0 2 0.0000 0.8662 0.000 1.000 0.000
#> 6B206166-85BC-4A1A-BDD2-B249652FC09E 1 0.0000 0.9477 1.000 0.000 0.000
#> 3EA60F08-5232-4A97-A656-2A0A2F5CED07 3 0.3192 0.7299 0.000 0.112 0.888
#> 9C55C086-682B-4D21-9C77-085CFE45A07E 1 0.6274 0.1446 0.544 0.000 0.456
#> B0CE5521-96E9-4087-89EE-309D785C0F96 2 0.5397 0.5358 0.000 0.720 0.280
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#> BA12A05A-622A-424D-8108-3F5916405EB0 3 0.3879 0.7074 0.152 0.000 0.848
#> DED4EA4D-9DC2-4419-83EC-2BFE75DC1830 2 0.0000 0.8662 0.000 1.000 0.000
#> 13A35364-57C5-4F5A-B077-3BA2689BFDD3 1 0.0000 0.9477 1.000 0.000 0.000
#> 2641B816-1D21-496E-85AD-1C690C9146A6 3 0.0000 0.8133 0.000 0.000 1.000
#> 96E2AD09-7287-4B91-840E-81444A61D56F 2 0.6126 0.3125 0.000 0.600 0.400
#> 62F3327F-FB16-4AD0-BCF5-B180F28281A9 2 0.0000 0.8662 0.000 1.000 0.000
#> 112F7032-0212-4939-9449-D67E3600CCD5 2 0.6126 0.3125 0.000 0.600 0.400
#> A3B4DE21-DDF0-4468-A300-7BECBAFD0BCD 1 0.0000 0.9477 1.000 0.000 0.000
#> 0A03E593-6931-419C-AE47-51D75185C2C0 3 0.0000 0.8133 0.000 0.000 1.000
#> 2416A3DC-A563-4FD1-A139-0E6EF7185211 2 0.0000 0.8662 0.000 1.000 0.000
#> 18B29573-822C-405F-B793-DBC8924866CE 2 0.0000 0.8662 0.000 1.000 0.000
#> 994EC227-B239-4CEE-AC96-EB5CC0AF583E 1 0.0000 0.9477 1.000 0.000 0.000
#> 950933A3-5757-4914-9DC5-C220C2A455FD 3 0.0000 0.8133 0.000 0.000 1.000
#> DBDFE95C-F941-407A-BE7D-D43D50143C4D 2 0.1411 0.8376 0.036 0.964 0.000
#> D024393C-29D0-41C4-AB86-7E94581FDD26 3 0.6126 0.3672 0.000 0.400 0.600
#> 4975AB35-93E5-400D-A429-CEA81BA89FFE 1 0.0000 0.9477 1.000 0.000 0.000
#> 666ADCA2-1AE4-4843-B1C8-8EE29C44AE74 1 0.2537 0.8751 0.920 0.000 0.080
#> A8F79C08-3943-4707-ADCB-890A955B5394 2 0.0000 0.8662 0.000 1.000 0.000
#> A81614ED-14CB-4EBC-988E-F67FBCBF62D8 2 0.0000 0.8662 0.000 1.000 0.000
#> E27E65C8-5B57-4C91-9D20-C075AEA2F2C5 1 0.0000 0.9477 1.000 0.000 0.000
#> 745F18CA-080D-42FE-BAA6-89AD7E3D3408 2 0.0000 0.8662 0.000 1.000 0.000
#> E755A625-799D-4A39-9D56-080228E0B669 2 0.3686 0.7383 0.140 0.860 0.000
#> 3D94EFB8-94D4-4FDE-97D8-18A159279996 2 0.6140 0.3034 0.000 0.596 0.404
#> 3D305C2E-6C86-4684-AA2A-155291AB4CC3 1 0.0000 0.9477 1.000 0.000 0.000
#> E140052A-5434-4C44-9873-0318D1D272CA 2 0.0000 0.8662 0.000 1.000 0.000
#> 68E56692-D46D-4A27-86CD-717E10AADDDA 3 0.0000 0.8133 0.000 0.000 1.000
#> 00A0586E-5F05-47B3-925C-87E811B0893B 3 0.0000 0.8133 0.000 0.000 1.000
#> E2B019A7-7C95-40FE-800C-D30E9730825C 1 0.6302 0.0468 0.520 0.000 0.480
#> 1B9ABB69-5CC6-4B6B-ABBC-71CC3274C7F0 1 0.0000 0.9477 1.000 0.000 0.000
#> FAE396AA-3C3C-4AF9-953D-385C41B2DB5B 1 0.0000 0.9477 1.000 0.000 0.000
#> 6BE4397D-1E5B-4486-83B4-EE0EC146C805 2 0.0000 0.8662 0.000 1.000 0.000
#> EE38BD4E-5A08-4639-912F-04203F53762F 1 0.0000 0.9477 1.000 0.000 0.000
#> 4050E7F8-80B6-46F2-8FF0-D4EC313E975B 3 0.2356 0.7705 0.072 0.000 0.928
#> F3565161-FFBE-4138-9773-558DB386710C 1 0.0000 0.9477 1.000 0.000 0.000
#> BA9ABEB1-D3F0-4F09-A647-25211C47C3D0 2 0.0000 0.8662 0.000 1.000 0.000
#> 9E41E79A-4028-4F60-8250-411F191B665C 1 0.0000 0.9477 1.000 0.000 0.000
#> 5F1D3EFD-ECDA-4C92-8D81-491484F09C95 3 0.1643 0.7890 0.044 0.000 0.956
#> 0DBA04CB-417D-4E2B-BE83-3563F45291C4 1 0.0000 0.9477 1.000 0.000 0.000
#> B9B882A5-194B-4F5C-B702-0CF71CA6D9D2 2 0.0000 0.8662 0.000 1.000 0.000
#> 67FE7638-B8F5-4631-B178-AC23B0382983 1 0.0000 0.9477 1.000 0.000 0.000
#> FE03FC2C-9A4E-4F89-8681-E33DFECCC692 2 0.5968 0.3782 0.364 0.636 0.000
#> 2B22B4B7-8A39-435C-BE3B-86FA84C8F941 2 0.6095 0.3289 0.000 0.608 0.392
#> 00844B35-C108-4AEC-A687-4A91A2F33E6D 1 0.0000 0.9477 1.000 0.000 0.000
#> C221EE7A-6343-4B6D-B322-0A2C0F0B29AF 1 0.0000 0.9477 1.000 0.000 0.000
#> B28A6D56-7654-4829-BF1F-657C3C2C10D8 1 0.0000 0.9477 1.000 0.000 0.000
#> F4C7BCEC-3CD4-4D9A-89EA-0ED58EA0DCFE 1 0.0000 0.9477 1.000 0.000 0.000
#> F06FBFAB-D143-47AE-BEE7-51B48164764F 1 0.0424 0.9413 0.992 0.008 0.000
#> 525F522B-E865-4479-AE65-510903ABF46F 2 0.6126 0.3125 0.000 0.600 0.400
#> F0CB60E3-C412-46A2-918F-8C5C099AB224 3 0.6126 0.3049 0.400 0.000 0.600
#> 587F307F-6E1B-487E-8E47-A99AB43DC5B4 3 0.0000 0.8133 0.000 0.000 1.000
#> 883D9145-8414-4571-A3E1-516F03452C46 1 0.0000 0.9477 1.000 0.000 0.000
#> 4A917271-7EA0-4F43-B474-7F5EA756EB05 1 0.0000 0.9477 1.000 0.000 0.000
#> BB33015D-218C-4A1E-8839-95837D6E9B88 1 0.0000 0.9477 1.000 0.000 0.000
#> 021CC81F-710D-4EEA-B1D8-012A81715ACC 1 0.0000 0.9477 1.000 0.000 0.000
#> B00C4925-47E3-4442-ABEB-82D714A26587 3 0.6026 0.3603 0.376 0.000 0.624
#> F79B27D3-0426-47BB-9756-7E0759246E5E 2 0.0000 0.8662 0.000 1.000 0.000
#> 1F179559-D93E-491C-B499-64F86C31DAE0 3 0.0000 0.8133 0.000 0.000 1.000
#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 3 0.0000 0.8133 0.000 0.000 1.000
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 1 0.0000 0.9477 1.000 0.000 0.000
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 1 0.0000 0.9477 1.000 0.000 0.000
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 2 0.0000 0.8662 0.000 1.000 0.000
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 1 0.0000 0.9477 1.000 0.000 0.000
#> ED9794C0-AC60-4B54-8214-D26714871BBF 1 0.0000 0.9477 1.000 0.000 0.000
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 2 0.6225 0.1524 0.000 0.568 0.432
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 2 0.0000 0.8662 0.000 1.000 0.000
#> 18D816AF-394A-482F-B22E-896A43B1E481 2 0.0000 0.8662 0.000 1.000 0.000
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 1 0.5905 0.4247 0.648 0.000 0.352
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 3 0.0000 0.8133 0.000 0.000 1.000
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 2 0.0000 0.8662 0.000 1.000 0.000
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 3 0.0000 0.8133 0.000 0.000 1.000
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 3 0.6126 0.3672 0.000 0.400 0.600
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 2 0.0000 0.8662 0.000 1.000 0.000
#> 7E809698-2473-4EFE-B896-1637983EC596 2 0.0000 0.8662 0.000 1.000 0.000
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 3 0.0000 0.8133 0.000 0.000 1.000
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 3 0.0000 0.8133 0.000 0.000 1.000
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 2 0.0000 0.8662 0.000 1.000 0.000
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.0000 0.9477 1.000 0.000 0.000
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.0000 0.9477 1.000 0.000 0.000
#> 73F28A79-7D35-4FE9-849D-FFE681483928 3 0.6291 0.1222 0.468 0.000 0.532
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 1 0.0000 0.9477 1.000 0.000 0.000
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 3 0.0000 0.8133 0.000 0.000 1.000
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 1 0.0000 0.9477 1.000 0.000 0.000
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.0000 0.8662 0.000 1.000 0.000
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.0000 0.9477 1.000 0.000 0.000
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 1 0.0000 0.9477 1.000 0.000 0.000
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 1 0.0000 0.9477 1.000 0.000 0.000
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 1 0.3267 0.8333 0.884 0.000 0.116
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.0000 0.8133 0.000 0.000 1.000
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.0000 0.9477 1.000 0.000 0.000
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.0000 0.8662 0.000 1.000 0.000
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 3 0.6126 0.3672 0.000 0.400 0.600
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.0000 0.8662 0.000 1.000 0.000
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 2 0.0000 0.8662 0.000 1.000 0.000
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 2 0.5760 0.4171 0.000 0.672 0.328
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 3 0.9756 0.2753 0.316 0.248 0.436
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 3 0.6126 0.3672 0.000 0.400 0.600
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.0000 0.9477 1.000 0.000 0.000
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.1289 0.7962 0.032 0.000 0.968
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.0000 0.9477 1.000 0.000 0.000
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.0000 0.9477 1.000 0.000 0.000
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.0000 0.9477 1.000 0.000 0.000
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.0000 0.8662 0.000 1.000 0.000
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 3 0.1643 0.7891 0.044 0.000 0.956
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.0000 0.9477 1.000 0.000 0.000
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 1 0.5465 0.5837 0.712 0.288 0.000
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.0000 0.9477 1.000 0.000 0.000
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 3 0.6126 0.3672 0.000 0.400 0.600
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 2 0.2878 0.7807 0.000 0.904 0.096
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 2 0.5173 0.7031 0.148 0.816 0.036
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 3 0.5058 0.6033 0.000 0.244 0.756
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 3 0.0000 0.8133 0.000 0.000 1.000
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 3 0.0000 0.8133 0.000 0.000 1.000
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.0000 0.9477 1.000 0.000 0.000
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.0000 0.9477 1.000 0.000 0.000
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 3 0.0000 0.8133 0.000 0.000 1.000
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.1031 0.8480 0.000 0.976 0.024
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.0000 0.8662 0.000 1.000 0.000
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 3 0.0000 0.8133 0.000 0.000 1.000
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.3482 0.7144 0.000 0.128 0.872
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.0000 0.8662 0.000 1.000 0.000
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 2 0.4702 0.6333 0.000 0.788 0.212
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 3 0.6126 0.3672 0.000 0.400 0.600
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.6126 0.2628 0.000 0.400 0.600
#> CA356591-D24F-41A8-8C9A-1178C7781510 3 0.0000 0.8133 0.000 0.000 1.000
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.0000 0.8133 0.000 0.000 1.000
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.0000 0.9477 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 4 0.4277 0.75322 0.000 0.000 0.280 0.720
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.4843 0.41416 0.000 0.396 0.604 0.000
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 4 0.3688 0.80975 0.000 0.000 0.208 0.792
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.0000 0.92078 0.000 1.000 0.000 0.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 4 0.4382 0.75421 0.000 0.000 0.296 0.704
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 1 0.4277 0.61428 0.720 0.280 0.000 0.000
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 4 0.4730 0.62691 0.000 0.000 0.364 0.636
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 4 0.3610 0.81119 0.000 0.000 0.200 0.800
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.0000 0.92078 0.000 1.000 0.000 0.000
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.0000 0.92078 0.000 1.000 0.000 0.000
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.0000 0.92078 0.000 1.000 0.000 0.000
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.3610 0.77936 0.000 0.000 0.800 0.200
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.2589 0.84003 0.884 0.000 0.116 0.000
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.0000 0.92078 0.000 1.000 0.000 0.000
#> ECB2DF14-CF68-44D4-8719-973AE448B992 1 0.3925 0.78040 0.808 0.000 0.016 0.176
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 4 0.3791 0.81085 0.000 0.004 0.200 0.796
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 3 0.4423 0.77579 0.040 0.000 0.792 0.168
#> 3282F146-2782-4877-9EFE-6020AC277A8C 4 0.3688 0.80975 0.000 0.000 0.208 0.792
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 4 0.0000 0.80131 0.000 0.000 0.000 1.000
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 2 0.0000 0.92078 0.000 1.000 0.000 0.000
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.0000 0.92078 0.000 1.000 0.000 0.000
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 4 0.3444 0.67085 0.184 0.000 0.000 0.816
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.0000 0.92078 0.000 1.000 0.000 0.000
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 1 0.0000 0.95173 1.000 0.000 0.000 0.000
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 4 0.3024 0.70968 0.000 0.000 0.148 0.852
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 4 0.2965 0.76283 0.000 0.072 0.036 0.892
#> C945DDA9-0194-46F4-89E2-13883284D5A4 4 0.3311 0.69686 0.000 0.000 0.172 0.828
#> 79B11925-9772-474F-A729-D00315959710 1 0.0000 0.95173 1.000 0.000 0.000 0.000
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 2 0.2805 0.83428 0.000 0.888 0.012 0.100
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 1 0.0000 0.95173 1.000 0.000 0.000 0.000
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 4 0.2469 0.74682 0.000 0.000 0.108 0.892
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.0000 0.95173 1.000 0.000 0.000 0.000
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.0817 0.90644 0.000 0.976 0.000 0.024
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 1 0.3569 0.72712 0.804 0.000 0.196 0.000
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.3610 0.77936 0.000 0.000 0.800 0.200
#> 26796E5F-C0C2-466C-9012-882F6D29C149 4 0.3688 0.80975 0.000 0.000 0.208 0.792
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 0.0000 0.95173 1.000 0.000 0.000 0.000
#> 1492D21A-6458-4B49-B530-7A327FCDD031 1 0.0000 0.95173 1.000 0.000 0.000 0.000
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 4 0.0000 0.80131 0.000 0.000 0.000 1.000
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 4 0.3610 0.81119 0.000 0.000 0.200 0.800
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.0000 0.95173 1.000 0.000 0.000 0.000
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 1 0.4574 0.71633 0.756 0.000 0.024 0.220
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.0000 0.92078 0.000 1.000 0.000 0.000
#> E846120D-D9E6-46F8-9647-2272AB064072 1 0.0000 0.95173 1.000 0.000 0.000 0.000
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#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 4 0.0000 0.80131 0.000 0.000 0.000 1.000
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 4 0.4972 0.14589 0.000 0.456 0.000 0.544
#> 7E809698-2473-4EFE-B896-1637983EC596 2 0.5428 0.34372 0.000 0.600 0.020 0.380
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 3 0.3569 0.78120 0.000 0.000 0.804 0.196
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 3 0.3610 0.77936 0.000 0.000 0.800 0.200
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 2 0.0000 0.92078 0.000 1.000 0.000 0.000
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.0000 0.95173 1.000 0.000 0.000 0.000
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.0000 0.95173 1.000 0.000 0.000 0.000
#> 73F28A79-7D35-4FE9-849D-FFE681483928 4 0.2530 0.75168 0.004 0.000 0.100 0.896
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 1 0.0000 0.95173 1.000 0.000 0.000 0.000
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 3 0.0707 0.79509 0.000 0.000 0.980 0.020
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 1 0.0000 0.95173 1.000 0.000 0.000 0.000
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.0000 0.92078 0.000 1.000 0.000 0.000
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.0000 0.95173 1.000 0.000 0.000 0.000
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 1 0.2081 0.88950 0.916 0.000 0.000 0.084
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 1 0.0000 0.95173 1.000 0.000 0.000 0.000
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 1 0.3486 0.74002 0.812 0.000 0.188 0.000
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.2408 0.80340 0.000 0.000 0.896 0.104
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.0000 0.95173 1.000 0.000 0.000 0.000
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.0000 0.92078 0.000 1.000 0.000 0.000
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 4 0.0469 0.79751 0.000 0.000 0.012 0.988
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.0000 0.92078 0.000 1.000 0.000 0.000
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 2 0.2867 0.83109 0.000 0.884 0.012 0.104
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 4 0.3831 0.80979 0.000 0.004 0.204 0.792
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 4 0.3933 0.80998 0.008 0.000 0.200 0.792
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 4 0.3688 0.80975 0.000 0.000 0.208 0.792
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.0000 0.95173 1.000 0.000 0.000 0.000
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.3610 0.77936 0.000 0.000 0.800 0.200
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.0000 0.95173 1.000 0.000 0.000 0.000
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.0000 0.95173 1.000 0.000 0.000 0.000
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.0000 0.95173 1.000 0.000 0.000 0.000
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.0000 0.92078 0.000 1.000 0.000 0.000
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 3 0.3688 0.77449 0.000 0.000 0.792 0.208
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.0000 0.95173 1.000 0.000 0.000 0.000
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 1 0.4983 0.60906 0.704 0.272 0.000 0.024
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.0000 0.95173 1.000 0.000 0.000 0.000
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 4 0.0000 0.80131 0.000 0.000 0.000 1.000
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 4 0.4284 0.80347 0.000 0.020 0.200 0.780
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 4 0.1211 0.78627 0.000 0.040 0.000 0.960
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 4 0.3688 0.80975 0.000 0.000 0.208 0.792
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 3 0.1940 0.76372 0.000 0.000 0.924 0.076
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 3 0.2408 0.73954 0.000 0.000 0.896 0.104
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.0000 0.95173 1.000 0.000 0.000 0.000
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.0000 0.95173 1.000 0.000 0.000 0.000
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 4 0.1940 0.76928 0.000 0.000 0.076 0.924
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.0000 0.92078 0.000 1.000 0.000 0.000
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.0000 0.92078 0.000 1.000 0.000 0.000
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 4 0.3688 0.81010 0.000 0.000 0.208 0.792
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.2081 0.76008 0.000 0.000 0.916 0.084
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.0000 0.92078 0.000 1.000 0.000 0.000
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 4 0.3933 0.80908 0.000 0.008 0.200 0.792
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 4 0.3688 0.80975 0.000 0.000 0.208 0.792
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.4331 0.60942 0.000 0.288 0.712 0.000
#> CA356591-D24F-41A8-8C9A-1178C7781510 4 0.3688 0.80975 0.000 0.000 0.208 0.792
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.3610 0.77936 0.000 0.000 0.800 0.200
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.0000 0.95173 1.000 0.000 0.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 4 0.6432 0.70033 0.000 0.000 0.196 0.484 0.320
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.4321 0.40386 0.000 0.396 0.600 0.004 0.000
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 4 0.6442 0.70115 0.000 0.000 0.196 0.480 0.324
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.0000 0.86025 0.000 1.000 0.000 0.000 0.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 4 0.6728 0.60981 0.000 0.000 0.268 0.412 0.320
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 1 0.4657 0.41620 0.668 0.296 0.000 0.036 0.000
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 4 0.6423 0.60410 0.000 0.000 0.276 0.504 0.220
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 4 0.6507 0.65830 0.000 0.000 0.192 0.432 0.376
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.0000 0.86025 0.000 1.000 0.000 0.000 0.000
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.0000 0.86025 0.000 1.000 0.000 0.000 0.000
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.0000 0.86025 0.000 1.000 0.000 0.000 0.000
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.3039 0.69947 0.000 0.000 0.808 0.000 0.192
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.4789 0.70894 0.728 0.000 0.156 0.116 0.000
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.0000 0.86025 0.000 1.000 0.000 0.000 0.000
#> ECB2DF14-CF68-44D4-8719-973AE448B992 5 0.4972 0.41270 0.352 0.000 0.004 0.032 0.612
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 4 0.6461 0.69704 0.000 0.000 0.196 0.472 0.332
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 3 0.4547 0.65824 0.072 0.000 0.736 0.000 0.192
#> 3282F146-2782-4877-9EFE-6020AC277A8C 4 0.6372 0.69861 0.000 0.000 0.184 0.492 0.324
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 5 0.1410 0.53591 0.000 0.000 0.000 0.060 0.940
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 2 0.3964 0.69785 0.176 0.788 0.000 0.016 0.020
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.0000 0.86025 0.000 1.000 0.000 0.000 0.000
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 5 0.4354 0.44155 0.368 0.000 0.000 0.008 0.624
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.0162 0.85894 0.000 0.996 0.000 0.004 0.000
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 1 0.1300 0.71453 0.956 0.000 0.016 0.000 0.028
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 5 0.1364 0.56112 0.000 0.000 0.036 0.012 0.952
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 5 0.3707 0.28508 0.000 0.000 0.000 0.284 0.716
#> C945DDA9-0194-46F4-89E2-13883284D5A4 5 0.5895 0.19095 0.000 0.000 0.260 0.152 0.588
#> 79B11925-9772-474F-A729-D00315959710 1 0.3895 0.80404 0.680 0.000 0.000 0.320 0.000
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 4 0.5932 0.21570 0.000 0.356 0.000 0.528 0.116
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 1 0.1300 0.71453 0.956 0.000 0.016 0.000 0.028
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 5 0.0992 0.56680 0.000 0.000 0.024 0.008 0.968
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.4620 0.79482 0.652 0.000 0.000 0.320 0.028
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.5516 0.58149 0.000 0.644 0.000 0.220 0.136
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 1 0.1579 0.70634 0.944 0.000 0.032 0.000 0.024
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.3074 0.69678 0.000 0.000 0.804 0.000 0.196
#> 26796E5F-C0C2-466C-9012-882F6D29C149 4 0.4288 0.55886 0.000 0.000 0.012 0.664 0.324
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 0.0162 0.73367 0.996 0.000 0.000 0.000 0.004
#> 1492D21A-6458-4B49-B530-7A327FCDD031 1 0.3184 0.69639 0.852 0.000 0.000 0.048 0.100
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 5 0.1908 0.51217 0.000 0.000 0.000 0.092 0.908
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 4 0.6478 0.65959 0.000 0.000 0.188 0.444 0.368
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.4165 0.80126 0.672 0.000 0.000 0.320 0.008
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 5 0.4327 0.44566 0.360 0.000 0.008 0.000 0.632
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.0703 0.85086 0.000 0.976 0.000 0.024 0.000
#> E846120D-D9E6-46F8-9647-2272AB064072 1 0.0898 0.74122 0.972 0.000 0.008 0.020 0.000
#> 36880C8C-91A9-49A9-A2D5-957161737F31 2 0.0000 0.86025 0.000 1.000 0.000 0.000 0.000
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.0000 0.86025 0.000 1.000 0.000 0.000 0.000
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 2 0.0162 0.85829 0.000 0.996 0.000 0.004 0.000
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 1 0.0955 0.72028 0.968 0.000 0.004 0.000 0.028
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 5 0.1862 0.56786 0.004 0.000 0.016 0.048 0.932
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 2 0.0000 0.86025 0.000 1.000 0.000 0.000 0.000
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 3 0.2230 0.67269 0.000 0.000 0.884 0.116 0.000
#> 116F3F29-AB89-4F00-9003-559041E285EB 3 0.4283 0.01743 0.000 0.000 0.544 0.456 0.000
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.0000 0.86025 0.000 1.000 0.000 0.000 0.000
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 3 0.3845 0.67585 0.004 0.000 0.760 0.012 0.224
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 4 0.7329 0.38768 0.000 0.336 0.144 0.456 0.064
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 5 0.0794 0.55478 0.000 0.000 0.000 0.028 0.972
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 1 0.3876 0.80430 0.684 0.000 0.000 0.316 0.000
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 2 0.6227 0.40307 0.000 0.536 0.000 0.280 0.184
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 3 0.6021 0.19409 0.032 0.436 0.484 0.048 0.000
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.3895 0.80404 0.680 0.000 0.000 0.320 0.000
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 3 0.3074 0.69723 0.000 0.000 0.804 0.000 0.196
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.0000 0.86025 0.000 1.000 0.000 0.000 0.000
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 3 0.3395 0.67676 0.000 0.000 0.764 0.000 0.236
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 1 0.1106 0.71811 0.964 0.000 0.012 0.000 0.024
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 4 0.7057 0.43524 0.000 0.296 0.200 0.476 0.028
#> CD576099-5450-4232-9B59-08341BED8FFA 4 0.4305 0.25556 0.000 0.000 0.000 0.512 0.488
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 4 0.3999 0.52415 0.000 0.000 0.000 0.656 0.344
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 1 0.3895 0.80404 0.680 0.000 0.000 0.320 0.000
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 1 0.3876 0.80430 0.684 0.000 0.000 0.316 0.000
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 2 0.3430 0.71203 0.000 0.776 0.000 0.220 0.004
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 4 0.6452 0.69871 0.000 0.000 0.196 0.476 0.328
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 3 0.2605 0.64245 0.000 0.000 0.852 0.148 0.000
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 1 0.4029 0.80394 0.680 0.000 0.000 0.316 0.004
#> 57E380FC-B6AB-466F-9936-D52192888008 1 0.4047 0.80365 0.676 0.000 0.000 0.320 0.004
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 4 0.6598 0.67281 0.000 0.000 0.228 0.448 0.324
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 1 0.3895 0.80404 0.680 0.000 0.000 0.320 0.000
#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 4 0.5857 0.39925 0.000 0.248 0.024 0.636 0.092
#> 1D4F0B66-720D-484D-B8D5-2B290ED208A8 3 0.4192 0.16832 0.000 0.000 0.596 0.404 0.000
#> C886CA33-5080-4E3E-88A2-F9A3CF03A857 3 0.3109 0.63280 0.200 0.000 0.800 0.000 0.000
#> 9AC963E4-F82D-460E-9CAD-C651B879780A 4 0.5602 0.08946 0.000 0.468 0.004 0.468 0.060
#> 1B6CF403-D0AE-4FFE-A884-660A58F32660 3 0.3857 0.41073 0.000 0.000 0.688 0.312 0.000
#> B33316E1-11FD-4C10-956A-C9C6F78508C5 1 0.2624 0.77182 0.872 0.000 0.000 0.116 0.012
#> BB02EF6A-C57D-4A79-99C1-ED43A72FFAF7 2 0.3300 0.72660 0.000 0.792 0.000 0.204 0.004
#> 4DBA59AD-9393-4BE6-88CB-852C62C4A334 3 0.2648 0.64058 0.000 0.000 0.848 0.152 0.000
#> 7887EDC4-A0D7-4E57-B3A1-330A5683457D 5 0.1864 0.56236 0.004 0.000 0.004 0.068 0.924
#> 2CD3AC14-46FB-4260-AE5C-4305C68D49BC 5 0.4278 -0.12537 0.000 0.000 0.000 0.452 0.548
#> BAB8FA79-208A-488D-B955-806263E5D6BB 4 0.6442 0.70115 0.000 0.000 0.196 0.480 0.324
#> 98C990E7-7E3B-4200-A88D-E641931302EA 1 0.3895 0.80404 0.680 0.000 0.000 0.320 0.000
#> 894EE382-5ACA-4DEB-9267-99ADBEF6DA19 4 0.4015 0.51922 0.000 0.000 0.000 0.652 0.348
#> 98795F95-D26D-438A-AF46-B3BC3553F020 3 0.0000 0.73289 0.000 0.000 1.000 0.000 0.000
#> 9AD4C328-1554-4C92-931C-30CE8F305FDE 1 0.3876 0.80430 0.684 0.000 0.000 0.316 0.000
#> 4D1518D9-D968-4E7F-A702-5157A1A2E83E 1 0.3876 0.80430 0.684 0.000 0.000 0.316 0.000
#> A6E8AF8C-5D7B-4197-990B-786A869ACB96 1 0.3462 0.78795 0.792 0.000 0.000 0.196 0.012
#> DF8B4E19-8C78-4A68-8FAE-DFF01076BC97 2 0.4430 0.00064 0.000 0.540 0.456 0.004 0.000
#> 8D2C608F-3280-4CA2-B996-9AE3DBDBBD28 3 0.5013 0.62045 0.000 0.000 0.680 0.240 0.080
#> E7BCBD8D-1219-4A99-948A-47A258A5CD8B 4 0.6442 0.70115 0.000 0.000 0.196 0.480 0.324
#> 2C9633A5-8ACB-4D16-8120-F098BA14BB04 2 0.0000 0.86025 0.000 1.000 0.000 0.000 0.000
#> 985D9304-E4DA-4038-B235-067CBFEAC902 2 0.0000 0.86025 0.000 1.000 0.000 0.000 0.000
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#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.4697 0.79293 0.648 0.000 0.000 0.320 0.032
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 5 0.8036 0.30072 0.312 0.096 0.000 0.228 0.364
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.3876 0.80430 0.684 0.000 0.000 0.316 0.000
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 5 0.4152 0.11590 0.000 0.000 0.012 0.296 0.692
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 4 0.3966 0.53335 0.000 0.000 0.000 0.664 0.336
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 5 0.1043 0.55255 0.000 0.000 0.000 0.040 0.960
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 4 0.6526 0.68872 0.000 0.000 0.212 0.464 0.324
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 3 0.3612 0.47480 0.000 0.000 0.732 0.268 0.000
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 3 0.4182 0.16981 0.000 0.000 0.600 0.400 0.000
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.0451 0.73029 0.988 0.000 0.004 0.000 0.008
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.0798 0.72454 0.976 0.000 0.008 0.000 0.016
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 5 0.0451 0.56614 0.000 0.000 0.008 0.004 0.988
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.2020 0.80956 0.000 0.900 0.000 0.100 0.000
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.2329 0.79161 0.000 0.876 0.000 0.124 0.000
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 5 0.6436 -0.35041 0.000 0.000 0.232 0.264 0.504
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.4251 0.58727 0.000 0.000 0.624 0.372 0.004
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.0000 0.86025 0.000 1.000 0.000 0.000 0.000
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 4 0.6383 0.69728 0.000 0.000 0.184 0.488 0.328
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 4 0.6442 0.70115 0.000 0.000 0.196 0.480 0.324
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.3508 0.62735 0.000 0.252 0.748 0.000 0.000
#> CA356591-D24F-41A8-8C9A-1178C7781510 4 0.6432 0.70033 0.000 0.000 0.196 0.484 0.320
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.3074 0.69723 0.000 0.000 0.804 0.000 0.196
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.3895 0.80404 0.680 0.000 0.000 0.320 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 6 0.0603 0.727606 0.000 0.000 0.004 0.016 0.000 0.980
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.5901 0.339715 0.000 0.372 0.504 0.068 0.056 0.000
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 6 0.0551 0.728422 0.000 0.000 0.004 0.008 0.004 0.984
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.0000 0.853197 0.000 1.000 0.000 0.000 0.000 0.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 6 0.1821 0.706269 0.000 0.000 0.024 0.040 0.008 0.928
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 5 0.5880 0.192619 0.200 0.376 0.000 0.000 0.424 0.000
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 6 0.1003 0.725096 0.000 0.000 0.004 0.028 0.004 0.964
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 6 0.2445 0.670934 0.000 0.000 0.004 0.120 0.008 0.868
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.0000 0.853197 0.000 1.000 0.000 0.000 0.000 0.000
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.0000 0.853197 0.000 1.000 0.000 0.000 0.000 0.000
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.0806 0.845766 0.000 0.972 0.000 0.020 0.008 0.000
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.0713 0.699978 0.000 0.000 0.972 0.000 0.028 0.000
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.4550 0.346937 0.676 0.000 0.084 0.000 0.240 0.000
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.0632 0.845353 0.000 0.976 0.000 0.024 0.000 0.000
#> ECB2DF14-CF68-44D4-8719-973AE448B992 5 0.6039 -0.132701 0.044 0.000 0.092 0.428 0.436 0.000
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 6 0.2039 0.702631 0.000 0.000 0.000 0.076 0.020 0.904
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 3 0.2632 0.639364 0.004 0.000 0.832 0.000 0.164 0.000
#> 3282F146-2782-4877-9EFE-6020AC277A8C 6 0.0291 0.729325 0.000 0.000 0.004 0.004 0.000 0.992
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 4 0.7216 0.424464 0.000 0.000 0.164 0.444 0.172 0.220
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 2 0.4309 0.647721 0.000 0.724 0.000 0.172 0.104 0.000
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.1909 0.815276 0.000 0.920 0.004 0.052 0.024 0.000
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 5 0.5734 -0.063825 0.024 0.000 0.080 0.392 0.500 0.004
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.0458 0.849456 0.000 0.984 0.000 0.016 0.000 0.000
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 5 0.4165 0.121225 0.452 0.000 0.012 0.000 0.536 0.000
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 4 0.6266 0.397705 0.000 0.000 0.280 0.528 0.140 0.052
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 4 0.2741 0.467739 0.000 0.000 0.008 0.868 0.032 0.092
#> C945DDA9-0194-46F4-89E2-13883284D5A4 3 0.6400 -0.087688 0.000 0.000 0.472 0.200 0.032 0.296
#> 79B11925-9772-474F-A729-D00315959710 1 0.0363 0.707037 0.988 0.000 0.000 0.000 0.012 0.000
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 6 0.5474 0.338987 0.000 0.132 0.004 0.312 0.000 0.552
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 5 0.4076 0.120425 0.452 0.000 0.008 0.000 0.540 0.000
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 4 0.6714 0.338441 0.000 0.000 0.236 0.440 0.276 0.048
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.3312 0.581758 0.792 0.000 0.000 0.028 0.180 0.000
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 4 0.4433 0.000873 0.000 0.416 0.000 0.560 0.008 0.016
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 1 0.4185 -0.066122 0.496 0.000 0.012 0.000 0.492 0.000
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.1141 0.703025 0.000 0.000 0.948 0.000 0.052 0.000
#> 26796E5F-C0C2-466C-9012-882F6D29C149 6 0.2737 0.640427 0.000 0.000 0.004 0.160 0.004 0.832
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 0.3843 0.062886 0.548 0.000 0.000 0.000 0.452 0.000
#> 1492D21A-6458-4B49-B530-7A327FCDD031 5 0.5391 0.167147 0.392 0.000 0.000 0.116 0.492 0.000
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 5 0.7822 -0.286760 0.044 0.000 0.076 0.244 0.356 0.280
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 6 0.1970 0.690285 0.000 0.000 0.000 0.008 0.092 0.900
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.2092 0.633379 0.876 0.000 0.000 0.000 0.124 0.000
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 5 0.6218 -0.095192 0.028 0.000 0.152 0.372 0.448 0.000
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.1267 0.824682 0.000 0.940 0.000 0.060 0.000 0.000
#> E846120D-D9E6-46F8-9647-2272AB064072 1 0.4301 0.154472 0.584 0.000 0.024 0.000 0.392 0.000
#> 36880C8C-91A9-49A9-A2D5-957161737F31 2 0.0508 0.848327 0.012 0.984 0.000 0.000 0.004 0.000
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.0000 0.853197 0.000 1.000 0.000 0.000 0.000 0.000
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 2 0.0146 0.852295 0.000 0.996 0.000 0.000 0.004 0.000
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 5 0.3982 0.105051 0.460 0.000 0.004 0.000 0.536 0.000
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 5 0.6963 -0.242073 0.044 0.000 0.068 0.392 0.420 0.076
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 2 0.0146 0.852295 0.000 0.996 0.000 0.000 0.004 0.000
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 3 0.4034 0.532830 0.000 0.000 0.624 0.004 0.008 0.364
#> 116F3F29-AB89-4F00-9003-559041E285EB 6 0.3867 0.548595 0.000 0.000 0.176 0.048 0.008 0.768
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.0508 0.848148 0.012 0.984 0.000 0.000 0.004 0.000
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 3 0.3691 0.600135 0.020 0.000 0.784 0.024 0.172 0.000
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 6 0.4032 0.630849 0.000 0.080 0.012 0.120 0.004 0.784
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 4 0.6514 0.419211 0.000 0.000 0.156 0.544 0.208 0.092
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 1 0.0790 0.699141 0.968 0.000 0.000 0.000 0.032 0.000
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 4 0.4597 0.286936 0.000 0.276 0.000 0.652 0.000 0.072
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 3 0.7343 0.220475 0.000 0.280 0.348 0.264 0.108 0.000
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.0000 0.707081 1.000 0.000 0.000 0.000 0.000 0.000
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 3 0.1124 0.698681 0.000 0.000 0.956 0.008 0.036 0.000
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.0146 0.852295 0.000 0.996 0.000 0.000 0.004 0.000
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 3 0.1257 0.694454 0.000 0.000 0.952 0.020 0.028 0.000
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 5 0.4093 0.073630 0.476 0.000 0.008 0.000 0.516 0.000
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 6 0.1657 0.709158 0.000 0.056 0.016 0.000 0.000 0.928
#> CD576099-5450-4232-9B59-08341BED8FFA 6 0.4693 0.204252 0.000 0.000 0.008 0.456 0.028 0.508
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 6 0.3684 0.422475 0.000 0.000 0.000 0.372 0.000 0.628
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 1 0.0000 0.707081 1.000 0.000 0.000 0.000 0.000 0.000
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 1 0.0713 0.703449 0.972 0.000 0.000 0.000 0.028 0.000
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 2 0.3979 0.477299 0.000 0.628 0.000 0.360 0.000 0.012
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 6 0.0363 0.728589 0.000 0.000 0.000 0.012 0.000 0.988
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 3 0.4144 0.463208 0.000 0.000 0.580 0.004 0.008 0.408
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 1 0.1500 0.688587 0.936 0.000 0.000 0.012 0.052 0.000
#> 57E380FC-B6AB-466F-9936-D52192888008 1 0.3046 0.574474 0.800 0.000 0.000 0.012 0.188 0.000
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 6 0.0405 0.727557 0.000 0.000 0.008 0.004 0.000 0.988
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 1 0.0603 0.705630 0.980 0.000 0.000 0.004 0.016 0.000
#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 6 0.5144 0.389863 0.000 0.044 0.008 0.376 0.012 0.560
#> 1D4F0B66-720D-484D-B8D5-2B290ED208A8 6 0.4045 0.228416 0.000 0.000 0.336 0.008 0.008 0.648
#> C886CA33-5080-4E3E-88A2-F9A3CF03A857 3 0.3508 0.660034 0.132 0.000 0.800 0.000 0.068 0.000
#> 9AC963E4-F82D-460E-9CAD-C651B879780A 6 0.4864 0.439254 0.000 0.256 0.004 0.092 0.000 0.648
#> 1B6CF403-D0AE-4FFE-A884-660A58F32660 6 0.4538 -0.149720 0.000 0.000 0.436 0.020 0.008 0.536
#> B33316E1-11FD-4C10-956A-C9C6F78508C5 1 0.4245 0.355359 0.644 0.000 0.004 0.024 0.328 0.000
#> BB02EF6A-C57D-4A79-99C1-ED43A72FFAF7 2 0.3499 0.546281 0.000 0.680 0.000 0.320 0.000 0.000
#> 4DBA59AD-9393-4BE6-88CB-852C62C4A334 3 0.4135 0.470505 0.000 0.000 0.584 0.004 0.008 0.404
#> 7887EDC4-A0D7-4E57-B3A1-330A5683457D 4 0.6782 0.291906 0.016 0.000 0.140 0.444 0.352 0.048
#> 2CD3AC14-46FB-4260-AE5C-4305C68D49BC 4 0.4757 -0.130294 0.000 0.000 0.000 0.484 0.048 0.468
#> BAB8FA79-208A-488D-B955-806263E5D6BB 6 0.0260 0.729377 0.000 0.000 0.000 0.008 0.000 0.992
#> 98C990E7-7E3B-4200-A88D-E641931302EA 1 0.0000 0.707081 1.000 0.000 0.000 0.000 0.000 0.000
#> 894EE382-5ACA-4DEB-9267-99ADBEF6DA19 6 0.3805 0.471560 0.000 0.000 0.004 0.328 0.004 0.664
#> 98795F95-D26D-438A-AF46-B3BC3553F020 3 0.3062 0.707540 0.000 0.000 0.816 0.000 0.024 0.160
#> 9AD4C328-1554-4C92-931C-30CE8F305FDE 1 0.0363 0.706467 0.988 0.000 0.000 0.000 0.012 0.000
#> 4D1518D9-D968-4E7F-A702-5157A1A2E83E 1 0.0363 0.706467 0.988 0.000 0.000 0.000 0.012 0.000
#> A6E8AF8C-5D7B-4197-990B-786A869ACB96 1 0.3163 0.531608 0.764 0.000 0.000 0.004 0.232 0.000
#> DF8B4E19-8C78-4A68-8FAE-DFF01076BC97 2 0.6175 -0.096648 0.000 0.452 0.400 0.092 0.056 0.000
#> 8D2C608F-3280-4CA2-B996-9AE3DBDBBD28 4 0.5055 -0.239645 0.000 0.000 0.420 0.516 0.056 0.008
#> E7BCBD8D-1219-4A99-948A-47A258A5CD8B 6 0.0146 0.729270 0.000 0.000 0.004 0.000 0.000 0.996
#> 2C9633A5-8ACB-4D16-8120-F098BA14BB04 2 0.0146 0.852502 0.000 0.996 0.004 0.000 0.000 0.000
#> 985D9304-E4DA-4038-B235-067CBFEAC902 2 0.0000 0.853197 0.000 1.000 0.000 0.000 0.000 0.000
#> D34CE243-6F4F-4158-9FC4-77E1640E8A91 2 0.0000 0.853197 0.000 1.000 0.000 0.000 0.000 0.000
#> 65131575-48D3-42C2-B411-3DB871EF5EE1 4 0.6332 0.293103 0.000 0.000 0.016 0.424 0.232 0.328
#> 1AE13DFA-670C-43EE-9898-8FA831AEDDB3 6 0.4193 0.356522 0.000 0.000 0.276 0.028 0.008 0.688
#> 3ACDCD29-1B8D-455D-9EE9-D6C903B16D09 4 0.6394 0.293641 0.004 0.000 0.144 0.460 0.356 0.036
#> C6FBC35B-0113-4F00-BE1A-831D2C551055 5 0.5740 0.181955 0.060 0.000 0.100 0.220 0.620 0.000
#> A8F3285D-A85E-4E73-9D20-9D14AA51916B 3 0.4274 0.431069 0.000 0.000 0.560 0.008 0.008 0.424
#> 51601A73-2D75-4056-AEBB-8FF8DB813450 3 0.2772 0.702921 0.000 0.000 0.816 0.000 0.004 0.180
#> 75021778-A96B-4F57-8C26-68E8F33D7EB7 4 0.6352 0.446872 0.000 0.000 0.164 0.580 0.136 0.120
#> 71FFB439-22A1-4EBB-AEA6-A6BCA8CA6648 3 0.1265 0.707288 0.000 0.000 0.948 0.000 0.044 0.008
#> BEDB0135-0A26-44EF-9028-C4907403B110 3 0.3738 0.511265 0.000 0.000 0.752 0.040 0.208 0.000
#> 3B8BA56B-0E7B-4754-8729-8D613D0484E1 1 0.0632 0.704668 0.976 0.000 0.000 0.000 0.024 0.000
#> 100BF963-6103-45E6-A760-E44649580CF5 6 0.2519 0.684042 0.000 0.000 0.008 0.048 0.056 0.888
#> C26F21EA-5911-483F-BF64-03904BF93A20 4 0.4362 0.075187 0.000 0.392 0.000 0.584 0.020 0.004
#> 9E50162D-8149-41D2-86C1-1C892EB98DFA 6 0.2905 0.670054 0.004 0.000 0.008 0.036 0.088 0.864
#> 09521B29-B002-4AAD-93F1-6E600DD31515 2 0.1644 0.817844 0.000 0.920 0.004 0.076 0.000 0.000
#> 45FD44A6-7976-4453-BD3F-99D21DA3ECC2 5 0.4499 0.150701 0.428 0.000 0.032 0.000 0.540 0.000
#> 9EE0976F-1422-4F65-8837-93A192984CDF 3 0.2706 0.710398 0.000 0.000 0.832 0.000 0.008 0.160
#> 2FBAA1AA-39F7-4C58-A7DA-76B1F4B26B2E 2 0.0146 0.852295 0.000 0.996 0.000 0.000 0.004 0.000
#> B7A695A4-0B74-41E9-8662-4010C8CA38F0 4 0.6461 0.344817 0.000 0.000 0.140 0.488 0.312 0.060
#> E9013476-D037-41EA-921E-E9E62E93B75C 5 0.3860 0.080297 0.472 0.000 0.000 0.000 0.528 0.000
#> 13FD88E9-3B06-4CB6-949F-395DDDE4B75B 4 0.2703 0.464211 0.000 0.028 0.000 0.876 0.016 0.080
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#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.0260 0.706956 0.992 0.000 0.000 0.000 0.008 0.000
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 6 0.6400 0.203638 0.000 0.000 0.164 0.200 0.080 0.556
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 6 0.3601 0.492155 0.000 0.000 0.004 0.312 0.000 0.684
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 4 0.5478 0.399100 0.000 0.000 0.060 0.616 0.268 0.056
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 6 0.0291 0.728922 0.000 0.000 0.004 0.004 0.000 0.992
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 6 0.4317 -0.208780 0.000 0.000 0.464 0.008 0.008 0.520
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 6 0.2100 0.668838 0.000 0.000 0.112 0.004 0.000 0.884
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.3989 0.012716 0.528 0.000 0.004 0.000 0.468 0.000
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.3991 0.002503 0.524 0.000 0.004 0.000 0.472 0.000
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 4 0.6490 0.358420 0.000 0.000 0.212 0.480 0.268 0.040
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.4668 0.581921 0.000 0.652 0.008 0.284 0.056 0.000
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.3126 0.658933 0.000 0.752 0.000 0.248 0.000 0.000
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 4 0.5964 0.113558 0.000 0.000 0.152 0.424 0.012 0.412
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.5628 0.404215 0.000 0.000 0.516 0.384 0.052 0.048
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.0146 0.852295 0.000 0.996 0.000 0.000 0.004 0.000
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 6 0.1010 0.724433 0.000 0.000 0.004 0.036 0.000 0.960
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 6 0.0000 0.728856 0.000 0.000 0.000 0.000 0.000 1.000
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.5019 0.569603 0.000 0.224 0.676 0.052 0.048 0.000
#> CA356591-D24F-41A8-8C9A-1178C7781510 6 0.0891 0.725164 0.000 0.000 0.000 0.024 0.008 0.968
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.0865 0.698625 0.000 0.000 0.964 0.000 0.036 0.000
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.0458 0.705928 0.984 0.000 0.000 0.000 0.016 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["SD", "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 17888 rows and 430 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'SD' method.
#> Subgroups are detected by 'pam' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 3.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.0973 0.274 0.679 0.4868 0.502 0.502
#> 3 3 0.3423 0.533 0.770 0.3400 0.669 0.437
#> 4 4 0.4325 0.533 0.711 0.1330 0.830 0.560
#> 5 5 0.4868 0.406 0.642 0.0666 0.923 0.721
#> 6 6 0.5799 0.342 0.628 0.0464 0.805 0.337
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
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 2 0.0376 0.44637 0.004 0.996
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 2 0.9552 0.22610 0.376 0.624
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 2 0.5519 0.46174 0.128 0.872
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 1 0.9795 0.13196 0.584 0.416
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 2 0.7139 0.45147 0.196 0.804
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 1 0.2948 0.50204 0.948 0.052
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 2 0.0000 0.44594 0.000 1.000
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 1 0.9775 0.14183 0.588 0.412
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.9977 0.01850 0.472 0.528
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.9963 0.02758 0.464 0.536
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 1 0.4690 0.47439 0.900 0.100
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 2 0.9795 0.21554 0.416 0.584
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.7950 0.29899 0.760 0.240
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 1 0.9993 0.03657 0.516 0.484
#> ECB2DF14-CF68-44D4-8719-973AE448B992 1 0.8207 0.38015 0.744 0.256
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 1 0.8267 0.37330 0.740 0.260
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 2 0.9993 0.09305 0.484 0.516
#> 3282F146-2782-4877-9EFE-6020AC277A8C 2 0.1633 0.44414 0.024 0.976
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 2 0.9775 0.26068 0.412 0.588
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 1 0.9522 0.13446 0.628 0.372
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.9983 0.00990 0.476 0.524
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 1 0.4939 0.47555 0.892 0.108
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.9954 0.03304 0.460 0.540
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 1 0.9710 0.10418 0.600 0.400
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 2 0.8909 0.36741 0.308 0.692
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 1 0.9608 0.21733 0.616 0.384
#> C945DDA9-0194-46F4-89E2-13883284D5A4 2 0.8861 0.37166 0.304 0.696
#> 79B11925-9772-474F-A729-D00315959710 1 0.4815 0.49848 0.896 0.104
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 2 0.9775 0.04297 0.412 0.588
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 1 1.0000 -0.06726 0.504 0.496
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 2 0.9833 0.20303 0.424 0.576
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.7299 0.41529 0.796 0.204
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 1 0.9775 0.13151 0.588 0.412
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 1 0.9552 0.08338 0.624 0.376
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 2 0.9248 0.33321 0.340 0.660
#> 26796E5F-C0C2-466C-9012-882F6D29C149 2 0.6623 0.45921 0.172 0.828
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 0.0000 0.52412 1.000 0.000
#> 1492D21A-6458-4B49-B530-7A327FCDD031 1 0.4815 0.49848 0.896 0.104
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 1 0.8713 0.32612 0.708 0.292
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 2 0.9795 0.23333 0.416 0.584
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.4815 0.49848 0.896 0.104
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 1 0.8207 0.39750 0.744 0.256
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 1 0.9993 0.03657 0.516 0.484
#> E846120D-D9E6-46F8-9647-2272AB064072 1 0.9661 0.04985 0.608 0.392
#> 36880C8C-91A9-49A9-A2D5-957161737F31 1 0.9000 0.24340 0.684 0.316
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 1 0.9970 0.05997 0.532 0.468
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 1 0.8661 0.29185 0.712 0.288
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 1 0.8499 0.23234 0.724 0.276
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 1 0.9000 0.26546 0.684 0.316
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 1 0.7299 0.37507 0.796 0.204
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 2 0.9732 0.23435 0.404 0.596
#> 116F3F29-AB89-4F00-9003-559041E285EB 2 0.7299 0.45005 0.204 0.796
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 1 0.6712 0.41332 0.824 0.176
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 2 0.9998 0.09182 0.492 0.508
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 2 0.8813 0.38082 0.300 0.700
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 1 0.9358 0.25800 0.648 0.352
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 1 0.0000 0.52412 1.000 0.000
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 2 0.6438 0.35758 0.164 0.836
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 1 0.6438 0.41850 0.836 0.164
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.0000 0.52412 1.000 0.000
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 2 0.9983 0.11403 0.476 0.524
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 1 0.9754 0.13118 0.592 0.408
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 2 0.9866 0.21253 0.432 0.568
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 1 0.9129 0.16279 0.672 0.328
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 2 0.9087 0.15032 0.324 0.676
#> CD576099-5450-4232-9B59-08341BED8FFA 2 0.8763 0.38880 0.296 0.704
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 2 0.4298 0.41335 0.088 0.912
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 1 0.0000 0.52412 1.000 0.000
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 1 0.0938 0.52482 0.988 0.012
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 2 0.9754 0.05957 0.408 0.592
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 2 0.5629 0.39809 0.132 0.868
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 2 0.7815 0.42873 0.232 0.768
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 1 0.4815 0.49848 0.896 0.104
#> 57E380FC-B6AB-466F-9936-D52192888008 1 0.4815 0.49848 0.896 0.104
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 2 0.8713 0.39038 0.292 0.708
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 1 0.0000 0.52412 1.000 0.000
#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 2 0.6048 0.39372 0.148 0.852
#> 1D4F0B66-720D-484D-B8D5-2B290ED208A8 2 0.8016 0.41794 0.244 0.756
#> C886CA33-5080-4E3E-88A2-F9A3CF03A857 1 0.9993 -0.11825 0.516 0.484
#> 9AC963E4-F82D-460E-9CAD-C651B879780A 1 0.9993 0.03657 0.516 0.484
#> 1B6CF403-D0AE-4FFE-A884-660A58F32660 2 0.6048 0.46285 0.148 0.852
#> B33316E1-11FD-4C10-956A-C9C6F78508C5 1 0.6712 0.44322 0.824 0.176
#> BB02EF6A-C57D-4A79-99C1-ED43A72FFAF7 1 1.0000 0.01171 0.500 0.500
#> 4DBA59AD-9393-4BE6-88CB-852C62C4A334 2 0.9427 0.29711 0.360 0.640
#> 7887EDC4-A0D7-4E57-B3A1-330A5683457D 2 0.9996 0.09436 0.488 0.512
#> 2CD3AC14-46FB-4260-AE5C-4305C68D49BC 2 0.6247 0.38637 0.156 0.844
#> BAB8FA79-208A-488D-B955-806263E5D6BB 2 0.7056 0.32888 0.192 0.808
#> 98C990E7-7E3B-4200-A88D-E641931302EA 1 0.0000 0.52412 1.000 0.000
#> 894EE382-5ACA-4DEB-9267-99ADBEF6DA19 2 0.1184 0.44677 0.016 0.984
#> 98795F95-D26D-438A-AF46-B3BC3553F020 2 0.9954 0.15609 0.460 0.540
#> 9AD4C328-1554-4C92-931C-30CE8F305FDE 1 0.0000 0.52412 1.000 0.000
#> 4D1518D9-D968-4E7F-A702-5157A1A2E83E 1 0.0000 0.52412 1.000 0.000
#> A6E8AF8C-5D7B-4197-990B-786A869ACB96 1 0.4815 0.49848 0.896 0.104
#> DF8B4E19-8C78-4A68-8FAE-DFF01076BC97 2 0.9996 0.02443 0.488 0.512
#> 8D2C608F-3280-4CA2-B996-9AE3DBDBBD28 2 0.7950 0.42941 0.240 0.760
#> E7BCBD8D-1219-4A99-948A-47A258A5CD8B 2 0.7883 0.42976 0.236 0.764
#> 2C9633A5-8ACB-4D16-8120-F098BA14BB04 1 0.9896 0.09948 0.560 0.440
#> 985D9304-E4DA-4038-B235-067CBFEAC902 1 0.9795 0.12121 0.584 0.416
#> D34CE243-6F4F-4158-9FC4-77E1640E8A91 1 0.9933 0.07992 0.548 0.452
#> 65131575-48D3-42C2-B411-3DB871EF5EE1 1 0.9833 0.07663 0.576 0.424
#> 1AE13DFA-670C-43EE-9898-8FA831AEDDB3 2 0.0376 0.44741 0.004 0.996
#> 3ACDCD29-1B8D-455D-9EE9-D6C903B16D09 1 0.9909 0.02022 0.556 0.444
#> C6FBC35B-0113-4F00-BE1A-831D2C551055 1 0.6801 0.44582 0.820 0.180
#> A8F3285D-A85E-4E73-9D20-9D14AA51916B 2 0.6438 0.45993 0.164 0.836
#> 51601A73-2D75-4056-AEBB-8FF8DB813450 2 0.9963 0.13540 0.464 0.536
#> 75021778-A96B-4F57-8C26-68E8F33D7EB7 2 0.8555 0.39820 0.280 0.720
#> 71FFB439-22A1-4EBB-AEA6-A6BCA8CA6648 2 0.9881 0.18909 0.436 0.564
#> BEDB0135-0A26-44EF-9028-C4907403B110 2 0.9866 0.18685 0.432 0.568
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#> 77AFFD5F-F715-4242-95C9-5F36E061B3E2 1 0.9552 0.13527 0.624 0.376
#> FAB4A6D6-E978-4172-9FE1-79FC50C0F849 2 0.3274 0.43575 0.060 0.940
#> 32C4DF54-39DD-4F62-B938-82ED2A0E0FFD 1 0.6148 0.46580 0.848 0.152
#> 9911D83E-6DDF-4048-9A34-22BFA1D68BBD 2 0.8861 0.37166 0.304 0.696
#> 4BAC0A03-BB88-4D19-86F9-FF093330C9B3 2 0.9710 0.25373 0.400 0.600
#> 18F63ADA-1828-43DD-AE1F-F36706C204CD 2 0.6531 0.45898 0.168 0.832
#> 66729295-C0AA-42C7-92C9-05194EF02276 2 0.9795 0.21554 0.416 0.584
#> 4CCA3104-B557-403D-AC06-A6D4936DDC04 2 0.8813 0.38193 0.300 0.700
#> 77D4165E-7CB1-4D69-AFE5-C8D914531651 2 0.9393 0.10961 0.356 0.644
#> BA12A05A-622A-424D-8108-3F5916405EB0 1 0.9944 -0.05338 0.544 0.456
#> DED4EA4D-9DC2-4419-83EC-2BFE75DC1830 2 0.9954 0.03304 0.460 0.540
#> 13A35364-57C5-4F5A-B077-3BA2689BFDD3 1 0.0672 0.52390 0.992 0.008
#> 2641B816-1D21-496E-85AD-1C690C9146A6 2 0.9866 0.18685 0.432 0.568
#> 96E2AD09-7287-4B91-840E-81444A61D56F 2 0.4815 0.39938 0.104 0.896
#> 62F3327F-FB16-4AD0-BCF5-B180F28281A9 2 0.9608 0.07903 0.384 0.616
#> 112F7032-0212-4939-9449-D67E3600CCD5 2 0.8386 0.27282 0.268 0.732
#> A3B4DE21-DDF0-4468-A300-7BECBAFD0BCD 1 0.9954 0.00171 0.540 0.460
#> 0A03E593-6931-419C-AE47-51D75185C2C0 2 0.9933 0.18616 0.452 0.548
#> 2416A3DC-A563-4FD1-A139-0E6EF7185211 1 0.9996 0.03044 0.512 0.488
#> 18B29573-822C-405F-B793-DBC8924866CE 1 0.9996 0.03044 0.512 0.488
#> 994EC227-B239-4CEE-AC96-EB5CC0AF583E 1 0.8555 0.29454 0.720 0.280
#> 950933A3-5757-4914-9DC5-C220C2A455FD 2 0.9552 0.28033 0.376 0.624
#> DBDFE95C-F941-407A-BE7D-D43D50143C4D 1 0.8144 0.31102 0.748 0.252
#> D024393C-29D0-41C4-AB86-7E94581FDD26 2 0.2778 0.44065 0.048 0.952
#> 4975AB35-93E5-400D-A429-CEA81BA89FFE 1 0.6712 0.44322 0.824 0.176
#> 666ADCA2-1AE4-4843-B1C8-8EE29C44AE74 1 0.9815 0.13325 0.580 0.420
#> A8F79C08-3943-4707-ADCB-890A955B5394 1 0.9833 0.11959 0.576 0.424
#> A81614ED-14CB-4EBC-988E-F67FBCBF62D8 1 0.0000 0.52412 1.000 0.000
#> E27E65C8-5B57-4C91-9D20-C075AEA2F2C5 1 0.8207 0.27889 0.744 0.256
#> 745F18CA-080D-42FE-BAA6-89AD7E3D3408 2 0.9833 0.02600 0.424 0.576
#> E755A625-799D-4A39-9D56-080228E0B669 1 0.7950 0.33018 0.760 0.240
#> 3D94EFB8-94D4-4FDE-97D8-18A159279996 1 0.5737 0.45603 0.864 0.136
#> 3D305C2E-6C86-4684-AA2A-155291AB4CC3 1 0.9954 0.00171 0.540 0.460
#> E140052A-5434-4C44-9873-0318D1D272CA 2 0.9983 0.00990 0.476 0.524
#> 68E56692-D46D-4A27-86CD-717E10AADDDA 2 0.6343 0.46108 0.160 0.840
#> 00A0586E-5F05-47B3-925C-87E811B0893B 2 0.9087 0.35110 0.324 0.676
#> E2B019A7-7C95-40FE-800C-D30E9730825C 1 0.9954 0.00171 0.540 0.460
#> 1B9ABB69-5CC6-4B6B-ABBC-71CC3274C7F0 1 0.4815 0.49848 0.896 0.104
#> FAE396AA-3C3C-4AF9-953D-385C41B2DB5B 1 0.9850 0.07345 0.572 0.428
#> 6BE4397D-1E5B-4486-83B4-EE0EC146C805 1 0.9963 0.06138 0.536 0.464
#> EE38BD4E-5A08-4639-912F-04203F53762F 1 0.0000 0.52412 1.000 0.000
#> 4050E7F8-80B6-46F2-8FF0-D4EC313E975B 1 0.9963 -0.07518 0.536 0.464
#> F3565161-FFBE-4138-9773-558DB386710C 1 0.0000 0.52412 1.000 0.000
#> BA9ABEB1-D3F0-4F09-A647-25211C47C3D0 2 1.0000 -0.02093 0.500 0.500
#> 9E41E79A-4028-4F60-8250-411F191B665C 1 0.0000 0.52412 1.000 0.000
#> 5F1D3EFD-ECDA-4C92-8D81-491484F09C95 2 0.9795 0.21554 0.416 0.584
#> 0DBA04CB-417D-4E2B-BE83-3563F45291C4 1 0.0000 0.52412 1.000 0.000
#> B9B882A5-194B-4F5C-B702-0CF71CA6D9D2 1 0.5946 0.43749 0.856 0.144
#> 67FE7638-B8F5-4631-B178-AC23B0382983 1 0.4815 0.49848 0.896 0.104
#> FE03FC2C-9A4E-4F89-8681-E33DFECCC692 1 0.7883 0.35561 0.764 0.236
#> 2B22B4B7-8A39-435C-BE3B-86FA84C8F941 2 0.0000 0.44594 0.000 1.000
#> 00844B35-C108-4AEC-A687-4A91A2F33E6D 1 0.4815 0.49848 0.896 0.104
#> C221EE7A-6343-4B6D-B322-0A2C0F0B29AF 1 0.4815 0.49848 0.896 0.104
#> B28A6D56-7654-4829-BF1F-657C3C2C10D8 1 0.2603 0.51398 0.956 0.044
#> F4C7BCEC-3CD4-4D9A-89EA-0ED58EA0DCFE 1 0.4815 0.49848 0.896 0.104
#> F06FBFAB-D143-47AE-BEE7-51B48164764F 1 0.5737 0.45620 0.864 0.136
#> 525F522B-E865-4479-AE65-510903ABF46F 2 0.6247 0.37550 0.156 0.844
#> F0CB60E3-C412-46A2-918F-8C5C099AB224 1 0.9944 0.01792 0.544 0.456
#> 587F307F-6E1B-487E-8E47-A99AB43DC5B4 2 0.9983 0.10945 0.476 0.524
#> 883D9145-8414-4571-A3E1-516F03452C46 1 0.6801 0.46160 0.820 0.180
#> 4A917271-7EA0-4F43-B474-7F5EA756EB05 1 0.0000 0.52412 1.000 0.000
#> BB33015D-218C-4A1E-8839-95837D6E9B88 1 0.6712 0.44322 0.824 0.176
#> 021CC81F-710D-4EEA-B1D8-012A81715ACC 1 0.7745 0.39259 0.772 0.228
#> B00C4925-47E3-4442-ABEB-82D714A26587 2 0.8443 0.39866 0.272 0.728
#> F79B27D3-0426-47BB-9756-7E0759246E5E 2 0.9963 0.02464 0.464 0.536
#> 1F179559-D93E-491C-B499-64F86C31DAE0 2 0.9815 0.20992 0.420 0.580
#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 2 0.8555 0.39750 0.280 0.720
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 1 0.4161 0.49249 0.916 0.084
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 1 0.9954 0.00171 0.540 0.460
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 2 0.9954 0.03304 0.460 0.540
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 1 0.2948 0.51936 0.948 0.052
#> ED9794C0-AC60-4B54-8214-D26714871BBF 1 0.0376 0.52381 0.996 0.004
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 2 0.5519 0.43329 0.128 0.872
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 1 0.9996 0.03044 0.512 0.488
#> 18D816AF-394A-482F-B22E-896A43B1E481 2 0.9996 -0.00411 0.488 0.512
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 1 0.6801 0.44010 0.820 0.180
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 2 0.6531 0.45919 0.168 0.832
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 2 0.8909 0.17560 0.308 0.692
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 2 0.9922 0.16255 0.448 0.552
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 1 0.9909 0.08781 0.556 0.444
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 2 0.6048 0.37087 0.148 0.852
#> 7E809698-2473-4EFE-B896-1637983EC596 2 0.9393 0.10961 0.356 0.644
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 2 0.9044 0.35473 0.320 0.680
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 2 0.9087 0.34982 0.324 0.676
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 2 0.6623 0.35261 0.172 0.828
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.0000 0.52412 1.000 0.000
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.0000 0.52412 1.000 0.000
#> 73F28A79-7D35-4FE9-849D-FFE681483928 2 0.9944 0.16460 0.456 0.544
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 1 0.3879 0.49922 0.924 0.076
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 2 0.9710 0.23945 0.400 0.600
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 1 0.0376 0.52381 0.996 0.004
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.9954 0.03304 0.460 0.540
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.0000 0.52412 1.000 0.000
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 1 0.9983 -0.02777 0.524 0.476
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 1 0.9944 0.00643 0.544 0.456
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 1 0.7219 0.34328 0.800 0.200
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 2 0.7883 0.42872 0.236 0.764
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.0000 0.52412 1.000 0.000
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 1 0.9661 0.17438 0.608 0.392
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 2 0.7528 0.44805 0.216 0.784
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 1 0.9795 0.12078 0.584 0.416
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 2 0.4161 0.41531 0.084 0.916
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 2 0.9881 0.01008 0.436 0.564
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 1 0.5737 0.48063 0.864 0.136
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 2 0.5629 0.39788 0.132 0.868
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.0000 0.52412 1.000 0.000
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 2 0.9896 0.18003 0.440 0.560
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.8608 0.22049 0.716 0.284
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.2236 0.50642 0.964 0.036
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.9522 0.08860 0.628 0.372
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 1 0.9833 0.11030 0.576 0.424
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 1 0.9993 -0.04705 0.516 0.484
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.9552 0.08455 0.624 0.376
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 1 0.8813 0.19816 0.700 0.300
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.0000 0.52412 1.000 0.000
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 2 0.7815 0.43366 0.232 0.768
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 2 0.8144 0.26269 0.252 0.748
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 1 0.8207 0.37072 0.744 0.256
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 2 0.6438 0.46060 0.164 0.836
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 2 0.7883 0.42437 0.236 0.764
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 2 0.8081 0.42164 0.248 0.752
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.2043 0.51657 0.968 0.032
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.2778 0.50543 0.952 0.048
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 2 0.9833 0.22489 0.424 0.576
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.9954 0.03304 0.460 0.540
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.9954 0.03304 0.460 0.540
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 2 0.8016 0.42222 0.244 0.756
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 2 0.1633 0.44596 0.024 0.976
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 1 0.8909 0.25241 0.692 0.308
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 2 0.9323 0.33212 0.348 0.652
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 2 0.6148 0.45210 0.152 0.848
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 1 0.9460 0.10185 0.636 0.364
#> CA356591-D24F-41A8-8C9A-1178C7781510 2 0.2603 0.45784 0.044 0.956
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 2 0.9552 0.27895 0.376 0.624
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.0000 0.52412 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 3 0.5327 0.420714 0.000 0.272 0.728
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.9410 0.242593 0.276 0.220 0.504
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 3 0.5480 0.426800 0.004 0.264 0.732
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.1031 0.815561 0.024 0.976 0.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 3 0.1643 0.610457 0.044 0.000 0.956
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 1 0.3030 0.752184 0.904 0.092 0.004
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 3 0.0000 0.614794 0.000 0.000 1.000
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 3 0.9462 -0.033505 0.180 0.400 0.420
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.0424 0.812650 0.008 0.992 0.000
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.0747 0.815050 0.016 0.984 0.000
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 1 0.6247 0.480860 0.620 0.376 0.004
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.5968 0.336094 0.364 0.000 0.636
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.8073 0.375536 0.576 0.080 0.344
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.0747 0.815050 0.016 0.984 0.000
#> ECB2DF14-CF68-44D4-8719-973AE448B992 1 0.2173 0.723291 0.944 0.008 0.048
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 1 0.9451 -0.049489 0.452 0.184 0.364
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 3 0.6267 0.145022 0.452 0.000 0.548
#> 3282F146-2782-4877-9EFE-6020AC277A8C 3 0.7713 0.354397 0.080 0.284 0.636
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 3 0.8700 0.306244 0.148 0.276 0.576
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 1 0.8345 0.560176 0.628 0.172 0.200
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.3377 0.781778 0.092 0.896 0.012
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 1 0.3193 0.754040 0.896 0.100 0.004
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.0747 0.815050 0.016 0.984 0.000
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 1 0.4700 0.625774 0.812 0.008 0.180
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 3 0.0000 0.614794 0.000 0.000 1.000
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 1 0.7328 0.330339 0.596 0.364 0.040
#> C945DDA9-0194-46F4-89E2-13883284D5A4 3 0.3120 0.601356 0.080 0.012 0.908
#> 79B11925-9772-474F-A729-D00315959710 1 0.0000 0.741587 1.000 0.000 0.000
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 2 0.6424 0.679783 0.180 0.752 0.068
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 1 0.5138 0.560452 0.748 0.000 0.252
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 3 0.5431 0.434704 0.284 0.000 0.716
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.1163 0.738506 0.972 0.000 0.028
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.6208 0.663208 0.200 0.752 0.048
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 1 0.6518 0.642582 0.752 0.080 0.168
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.5905 0.351844 0.352 0.000 0.648
#> 26796E5F-C0C2-466C-9012-882F6D29C149 3 0.1529 0.611370 0.040 0.000 0.960
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 0.2537 0.753057 0.920 0.080 0.000
#> 1492D21A-6458-4B49-B530-7A327FCDD031 1 0.3886 0.673149 0.880 0.024 0.096
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 2 0.7876 0.232874 0.424 0.520 0.056
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 3 0.9061 0.298419 0.188 0.264 0.548
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.0592 0.736993 0.988 0.012 0.000
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 1 0.6067 0.550844 0.736 0.028 0.236
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.0892 0.815605 0.020 0.980 0.000
#> E846120D-D9E6-46F8-9647-2272AB064072 1 0.6973 0.239988 0.564 0.020 0.416
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#> 340E8861-0515-4EC4-B22E-4C9521A16C15 3 0.6244 0.153271 0.440 0.000 0.560
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 1 0.4531 0.627407 0.824 0.008 0.168
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 1 0.7256 0.596224 0.696 0.088 0.216
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.0592 0.615168 0.012 0.000 0.988
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.2959 0.748711 0.900 0.100 0.000
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.1031 0.815561 0.024 0.976 0.000
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 3 0.7653 0.364652 0.080 0.276 0.644
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.1031 0.815764 0.024 0.976 0.000
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 2 0.6168 0.208497 0.000 0.588 0.412
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 2 0.8361 0.283570 0.092 0.544 0.364
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 1 0.8386 0.345534 0.620 0.224 0.156
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 3 0.8421 0.342379 0.140 0.252 0.608
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.2796 0.751111 0.908 0.092 0.000
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.6252 0.163740 0.444 0.000 0.556
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.4556 0.738813 0.860 0.080 0.060
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.6252 0.134224 0.556 0.444 0.000
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.4994 0.677463 0.816 0.024 0.160
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.1031 0.815561 0.024 0.976 0.000
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 3 0.5760 0.377869 0.328 0.000 0.672
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 3 0.6309 0.011253 0.500 0.000 0.500
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 1 0.7742 0.497856 0.632 0.080 0.288
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.2537 0.753057 0.920 0.080 0.000
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 3 0.9549 0.236848 0.276 0.240 0.484
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 2 0.8515 0.112797 0.092 0.476 0.432
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 1 0.3589 0.708926 0.900 0.048 0.052
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 3 0.7728 0.362055 0.084 0.276 0.640
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 3 0.3539 0.578287 0.100 0.012 0.888
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 3 0.0424 0.614970 0.000 0.008 0.992
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.2537 0.753057 0.920 0.080 0.000
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.6252 0.662004 0.772 0.084 0.144
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 3 0.4399 0.566676 0.188 0.000 0.812
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.0983 0.814689 0.016 0.980 0.004
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.0983 0.814689 0.016 0.980 0.004
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 3 0.4458 0.593592 0.080 0.056 0.864
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.7213 0.483852 0.088 0.212 0.700
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.4842 0.646070 0.224 0.776 0.000
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 3 0.6662 0.426032 0.044 0.252 0.704
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 3 0.6662 0.423076 0.044 0.252 0.704
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 1 0.8457 0.346736 0.544 0.100 0.356
#> CA356591-D24F-41A8-8C9A-1178C7781510 3 0.7523 0.386250 0.080 0.260 0.660
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.5591 0.407935 0.304 0.000 0.696
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.2537 0.753057 0.920 0.080 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 4 0.6238 0.40158 0.000 0.084 0.296 0.620
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 1 0.7868 0.07983 0.372 0.276 0.352 0.000
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 4 0.7077 0.44078 0.036 0.084 0.268 0.612
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.0524 0.80810 0.004 0.988 0.000 0.008
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 3 0.4957 0.56233 0.048 0.000 0.748 0.204
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 1 0.5363 0.71130 0.772 0.136 0.024 0.068
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 3 0.3873 0.55467 0.000 0.000 0.772 0.228
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 4 0.3169 0.64436 0.028 0.084 0.004 0.884
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.2530 0.79576 0.000 0.896 0.004 0.100
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.0712 0.80823 0.004 0.984 0.008 0.004
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 1 0.7314 0.63737 0.592 0.276 0.040 0.092
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.3688 0.59031 0.208 0.000 0.792 0.000
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.5773 0.57926 0.712 0.092 0.192 0.004
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.2342 0.80225 0.000 0.912 0.008 0.080
#> ECB2DF14-CF68-44D4-8719-973AE448B992 1 0.6430 0.51302 0.596 0.000 0.092 0.312
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 4 0.2983 0.63521 0.068 0.040 0.000 0.892
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 1 0.4989 0.11239 0.528 0.000 0.472 0.000
#> 3282F146-2782-4877-9EFE-6020AC277A8C 4 0.3521 0.63256 0.000 0.084 0.052 0.864
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 4 0.4514 0.62813 0.000 0.064 0.136 0.800
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 1 0.9298 0.23974 0.408 0.128 0.296 0.168
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.5087 0.71667 0.064 0.804 0.084 0.048
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 1 0.7669 0.63054 0.604 0.200 0.056 0.140
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.2706 0.79942 0.000 0.900 0.020 0.080
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 1 0.4078 0.64012 0.816 0.012 0.160 0.012
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 3 0.1637 0.59381 0.000 0.000 0.940 0.060
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 1 0.8776 0.26743 0.392 0.176 0.064 0.368
#> C945DDA9-0194-46F4-89E2-13883284D5A4 4 0.4746 0.42772 0.000 0.000 0.368 0.632
#> 79B11925-9772-474F-A729-D00315959710 1 0.2760 0.70836 0.872 0.000 0.000 0.128
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 2 0.7241 0.44007 0.088 0.560 0.028 0.324
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 1 0.3583 0.60386 0.816 0.000 0.180 0.004
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 3 0.2224 0.60665 0.040 0.000 0.928 0.032
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.3071 0.71841 0.888 0.000 0.044 0.068
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.5995 0.65273 0.132 0.728 0.020 0.120
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 1 0.5507 0.64663 0.732 0.156 0.112 0.000
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.3249 0.62129 0.140 0.000 0.852 0.008
#> 26796E5F-C0C2-466C-9012-882F6D29C149 3 0.5564 0.53649 0.076 0.000 0.708 0.216
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 0.1305 0.71851 0.960 0.036 0.000 0.004
#> 1492D21A-6458-4B49-B530-7A327FCDD031 4 0.7398 0.00720 0.376 0.000 0.168 0.456
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 2 0.9802 -0.14428 0.196 0.316 0.188 0.300
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 4 0.5421 0.60626 0.008 0.064 0.188 0.740
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.4529 0.68841 0.776 0.004 0.024 0.196
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 1 0.8922 0.10482 0.388 0.060 0.224 0.328
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.3285 0.79512 0.016 0.884 0.020 0.080
#> E846120D-D9E6-46F8-9647-2272AB064072 1 0.4509 0.45451 0.708 0.000 0.288 0.004
#> 36880C8C-91A9-49A9-A2D5-957161737F31 2 0.0895 0.80092 0.004 0.976 0.000 0.020
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.1716 0.80713 0.000 0.936 0.000 0.064
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 2 0.4424 0.76290 0.088 0.812 0.000 0.100
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 1 0.4920 0.69663 0.808 0.088 0.028 0.076
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 4 0.7914 0.01360 0.308 0.000 0.340 0.352
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 2 0.5998 0.55857 0.212 0.680 0.000 0.108
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 3 0.4843 0.34320 0.000 0.000 0.604 0.396
#> 116F3F29-AB89-4F00-9003-559041E285EB 4 0.4994 -0.00439 0.000 0.000 0.480 0.520
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.3933 0.67336 0.200 0.792 0.008 0.000
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 3 0.1888 0.61382 0.044 0.000 0.940 0.016
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 3 0.5090 0.45683 0.004 0.012 0.672 0.312
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 3 0.8640 -0.21020 0.240 0.036 0.368 0.356
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 1 0.5798 0.69165 0.704 0.184 0.000 0.112
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 2 0.4782 0.74608 0.000 0.780 0.068 0.152
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 1 0.7842 0.59433 0.556 0.284 0.072 0.088
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.2714 0.70841 0.884 0.004 0.000 0.112
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 3 0.6665 0.31672 0.360 0.000 0.544 0.096
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.1305 0.79469 0.004 0.960 0.000 0.036
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 3 0.1004 0.60893 0.024 0.000 0.972 0.004
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 1 0.5140 0.67260 0.760 0.144 0.096 0.000
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 4 0.6570 0.26896 0.024 0.376 0.040 0.560
#> CD576099-5450-4232-9B59-08341BED8FFA 3 0.6521 0.28245 0.116 0.004 0.636 0.244
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 4 0.5179 0.56810 0.000 0.220 0.052 0.728
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 1 0.4209 0.72018 0.840 0.064 0.012 0.084
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 1 0.1716 0.71576 0.936 0.000 0.000 0.064
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 2 0.4390 0.76822 0.016 0.828 0.048 0.108
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 4 0.3450 0.64416 0.040 0.084 0.004 0.872
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 3 0.4382 0.48767 0.000 0.000 0.704 0.296
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 1 0.4740 0.67223 0.788 0.000 0.080 0.132
#> 57E380FC-B6AB-466F-9936-D52192888008 1 0.5143 0.64557 0.720 0.004 0.032 0.244
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 4 0.5265 0.58526 0.124 0.016 0.084 0.776
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 1 0.1302 0.71945 0.956 0.000 0.000 0.044
#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 4 0.5033 0.55450 0.004 0.220 0.036 0.740
#> 1D4F0B66-720D-484D-B8D5-2B290ED208A8 3 0.4008 0.55148 0.000 0.000 0.756 0.244
#> C886CA33-5080-4E3E-88A2-F9A3CF03A857 3 0.4103 0.52768 0.256 0.000 0.744 0.000
#> 9AC963E4-F82D-460E-9CAD-C651B879780A 4 0.5465 0.32308 0.020 0.392 0.000 0.588
#> 1B6CF403-D0AE-4FFE-A884-660A58F32660 3 0.6022 0.38186 0.000 0.084 0.656 0.260
#> B33316E1-11FD-4C10-956A-C9C6F78508C5 1 0.3821 0.71012 0.840 0.000 0.040 0.120
#> BB02EF6A-C57D-4A79-99C1-ED43A72FFAF7 2 0.1938 0.80954 0.000 0.936 0.012 0.052
#> 4DBA59AD-9393-4BE6-88CB-852C62C4A334 4 0.4331 0.40063 0.000 0.000 0.288 0.712
#> 7887EDC4-A0D7-4E57-B3A1-330A5683457D 3 0.7249 0.19335 0.348 0.000 0.496 0.156
#> 2CD3AC14-46FB-4260-AE5C-4305C68D49BC 3 0.8356 -0.20983 0.056 0.132 0.436 0.376
#> BAB8FA79-208A-488D-B955-806263E5D6BB 4 0.4363 0.63910 0.060 0.084 0.020 0.836
#> 98C990E7-7E3B-4200-A88D-E641931302EA 1 0.2816 0.72116 0.900 0.036 0.000 0.064
#> 894EE382-5ACA-4DEB-9267-99ADBEF6DA19 4 0.6564 0.47247 0.000 0.084 0.380 0.536
#> 98795F95-D26D-438A-AF46-B3BC3553F020 3 0.3355 0.61291 0.160 0.000 0.836 0.004
#> 9AD4C328-1554-4C92-931C-30CE8F305FDE 1 0.6178 0.66893 0.660 0.228 0.000 0.112
#> 4D1518D9-D968-4E7F-A702-5157A1A2E83E 1 0.6190 0.67821 0.692 0.216 0.024 0.068
#> A6E8AF8C-5D7B-4197-990B-786A869ACB96 1 0.3143 0.71655 0.876 0.000 0.024 0.100
#> DF8B4E19-8C78-4A68-8FAE-DFF01076BC97 2 0.7764 -0.13590 0.324 0.424 0.252 0.000
#> 8D2C608F-3280-4CA2-B996-9AE3DBDBBD28 3 0.2944 0.61942 0.128 0.000 0.868 0.004
#> E7BCBD8D-1219-4A99-948A-47A258A5CD8B 4 0.5648 0.46001 0.000 0.064 0.252 0.684
#> 2C9633A5-8ACB-4D16-8120-F098BA14BB04 2 0.1661 0.80710 0.004 0.944 0.000 0.052
#> 985D9304-E4DA-4038-B235-067CBFEAC902 2 0.0336 0.80531 0.000 0.992 0.000 0.008
#> D34CE243-6F4F-4158-9FC4-77E1640E8A91 2 0.1902 0.80809 0.004 0.932 0.000 0.064
#> 65131575-48D3-42C2-B411-3DB871EF5EE1 4 0.5130 0.61239 0.016 0.064 0.140 0.780
#> 1AE13DFA-670C-43EE-9898-8FA831AEDDB3 4 0.6221 0.38216 0.000 0.076 0.316 0.608
#> 3ACDCD29-1B8D-455D-9EE9-D6C903B16D09 3 0.5354 0.38703 0.056 0.000 0.712 0.232
#> C6FBC35B-0113-4F00-BE1A-831D2C551055 1 0.8245 0.56915 0.556 0.076 0.164 0.204
#> A8F3285D-A85E-4E73-9D20-9D14AA51916B 3 0.5000 0.05093 0.000 0.000 0.504 0.496
#> 51601A73-2D75-4056-AEBB-8FF8DB813450 3 0.4549 0.58129 0.036 0.000 0.776 0.188
#> 75021778-A96B-4F57-8C26-68E8F33D7EB7 4 0.5922 0.30553 0.008 0.032 0.356 0.604
#> 71FFB439-22A1-4EBB-AEA6-A6BCA8CA6648 3 0.2255 0.59702 0.012 0.000 0.920 0.068
#> BEDB0135-0A26-44EF-9028-C4907403B110 3 0.7714 0.34117 0.260 0.000 0.448 0.292
#> 3B8BA56B-0E7B-4754-8729-8D613D0484E1 1 0.0188 0.71627 0.996 0.000 0.000 0.004
#> 100BF963-6103-45E6-A760-E44649580CF5 4 0.6669 0.55744 0.160 0.040 0.112 0.688
#> C26F21EA-5911-483F-BF64-03904BF93A20 1 0.6705 0.65480 0.672 0.104 0.032 0.192
#> 9E50162D-8149-41D2-86C1-1C892EB98DFA 4 0.7392 0.50867 0.164 0.056 0.144 0.636
#> 09521B29-B002-4AAD-93F1-6E600DD31515 2 0.3991 0.72645 0.000 0.808 0.020 0.172
#> 45FD44A6-7976-4453-BD3F-99D21DA3ECC2 3 0.5388 0.18292 0.456 0.000 0.532 0.012
#> 9EE0976F-1422-4F65-8837-93A192984CDF 3 0.4079 0.57966 0.020 0.000 0.800 0.180
#> 2FBAA1AA-39F7-4C58-A7DA-76B1F4B26B2E 2 0.1902 0.77789 0.004 0.932 0.000 0.064
#> B7A695A4-0B74-41E9-8662-4010C8CA38F0 3 0.4718 0.33199 0.012 0.000 0.708 0.280
#> E9013476-D037-41EA-921E-E9E62E93B75C 1 0.3325 0.70913 0.864 0.000 0.024 0.112
#> 13FD88E9-3B06-4CB6-949F-395DDDE4B75B 1 0.9216 0.32058 0.408 0.236 0.092 0.264
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#> 5E79792E-CE89-4ECF-BD4E-B12877E63949 4 0.6028 0.59535 0.004 0.084 0.236 0.676
#> E9DB46D8-5CE4-472C-8F21-9180F2D4C880 4 0.5212 0.13658 0.000 0.008 0.420 0.572
#> 7C712EF3-7368-4D97-BB9A-717CF8522C7F 3 0.4054 0.60686 0.188 0.000 0.796 0.016
#> 30312D82-4966-4EAA-A067-F91852FA8663 2 0.5726 0.64495 0.132 0.744 0.016 0.108
#> ECC62CBA-16AB-45F0-9C5A-72F302B4A188 2 0.9188 0.39556 0.176 0.468 0.196 0.160
#> 5AF4899F-D8E1-4CB6-B3DC-F0C60C808838 3 0.5498 0.29443 0.020 0.404 0.576 0.000
#> BBCEA0D1-DE66-4C0C-8D3C-D1398D04B472 2 0.2011 0.80341 0.000 0.920 0.000 0.080
#> 154764CD-AC69-4F48-A212-8B27C076C91A 3 0.5080 0.31404 0.004 0.000 0.576 0.420
#> 33266777-E07B-49D0-9E24-2EDE2577CF16 1 0.1406 0.72016 0.960 0.000 0.024 0.016
#> 7DAE9720-3922-4680-9F95-75C029B7FDA9 1 0.7640 0.36605 0.456 0.228 0.316 0.000
#> 1BC2ECED-0425-4382-BB94-F57ED2687F18 1 0.4697 0.38429 0.644 0.000 0.356 0.000
#> 0901D931-77BE-47B0-AE5F-C26C6A144CA0 1 0.5361 0.67750 0.748 0.192 0.024 0.036
#> 77AFFD5F-F715-4242-95C9-5F36E061B3E2 1 0.5062 0.60161 0.692 0.000 0.024 0.284
#> FAB4A6D6-E978-4172-9FE1-79FC50C0F849 4 0.3862 0.64055 0.060 0.084 0.004 0.852
#> 32C4DF54-39DD-4F62-B938-82ED2A0E0FFD 1 0.5536 0.61055 0.680 0.008 0.032 0.280
#> 9911D83E-6DDF-4048-9A34-22BFA1D68BBD 3 0.1118 0.59593 0.000 0.000 0.964 0.036
#> 4BAC0A03-BB88-4D19-86F9-FF093330C9B3 3 0.7687 -0.01238 0.312 0.000 0.448 0.240
#> 18F63ADA-1828-43DD-AE1F-F36706C204CD 3 0.3749 0.60194 0.032 0.000 0.840 0.128
#> 66729295-C0AA-42C7-92C9-05194EF02276 3 0.4188 0.55174 0.004 0.000 0.752 0.244
#> 4CCA3104-B557-403D-AC06-A6D4936DDC04 3 0.4123 0.55998 0.008 0.000 0.772 0.220
#> 77D4165E-7CB1-4D69-AFE5-C8D914531651 2 0.4797 0.63231 0.000 0.720 0.020 0.260
#> BA12A05A-622A-424D-8108-3F5916405EB0 1 0.5155 0.11944 0.528 0.004 0.468 0.000
#> DED4EA4D-9DC2-4419-83EC-2BFE75DC1830 2 0.2342 0.80225 0.000 0.912 0.008 0.080
#> 13A35364-57C5-4F5A-B077-3BA2689BFDD3 1 0.6702 0.67185 0.704 0.084 0.120 0.092
#> 2641B816-1D21-496E-85AD-1C690C9146A6 3 0.3908 0.58729 0.212 0.000 0.784 0.004
#> 96E2AD09-7287-4B91-840E-81444A61D56F 3 0.3710 0.52882 0.000 0.192 0.804 0.004
#> 62F3327F-FB16-4AD0-BCF5-B180F28281A9 2 0.5352 0.60622 0.008 0.676 0.020 0.296
#> 112F7032-0212-4939-9449-D67E3600CCD5 2 0.5748 0.64875 0.024 0.736 0.176 0.064
#> A3B4DE21-DDF0-4468-A300-7BECBAFD0BCD 3 0.5693 0.37633 0.072 0.000 0.688 0.240
#> 0A03E593-6931-419C-AE47-51D75185C2C0 3 0.7637 0.13499 0.212 0.012 0.536 0.240
#> 2416A3DC-A563-4FD1-A139-0E6EF7185211 2 0.3852 0.72468 0.000 0.808 0.012 0.180
#> 18B29573-822C-405F-B793-DBC8924866CE 2 0.2342 0.80225 0.000 0.912 0.008 0.080
#> 994EC227-B239-4CEE-AC96-EB5CC0AF583E 1 0.2742 0.71871 0.900 0.000 0.024 0.076
#> 950933A3-5757-4914-9DC5-C220C2A455FD 3 0.4977 0.19588 0.000 0.000 0.540 0.460
#> DBDFE95C-F941-407A-BE7D-D43D50143C4D 2 0.5217 0.64995 0.136 0.756 0.000 0.108
#> D024393C-29D0-41C4-AB86-7E94581FDD26 4 0.3208 0.63064 0.000 0.148 0.004 0.848
#> 4975AB35-93E5-400D-A429-CEA81BA89FFE 1 0.5090 0.66769 0.728 0.000 0.044 0.228
#> 666ADCA2-1AE4-4843-B1C8-8EE29C44AE74 1 0.7174 0.53251 0.572 0.004 0.180 0.244
#> A8F79C08-3943-4707-ADCB-890A955B5394 2 0.0188 0.80733 0.000 0.996 0.000 0.004
#> A81614ED-14CB-4EBC-988E-F67FBCBF62D8 1 0.6144 0.43351 0.544 0.416 0.024 0.016
#> E27E65C8-5B57-4C91-9D20-C075AEA2F2C5 1 0.4475 0.52939 0.748 0.008 0.240 0.004
#> 745F18CA-080D-42FE-BAA6-89AD7E3D3408 2 0.4606 0.64557 0.000 0.724 0.012 0.264
#> E755A625-799D-4A39-9D56-080228E0B669 2 0.6439 0.49471 0.228 0.656 0.008 0.108
#> 3D94EFB8-94D4-4FDE-97D8-18A159279996 1 0.7389 0.66406 0.596 0.220 0.024 0.160
#> 3D305C2E-6C86-4684-AA2A-155291AB4CC3 1 0.3266 0.71587 0.876 0.000 0.040 0.084
#> E140052A-5434-4C44-9873-0318D1D272CA 2 0.2011 0.80341 0.000 0.920 0.000 0.080
#> 68E56692-D46D-4A27-86CD-717E10AADDDA 3 0.4843 0.34070 0.000 0.000 0.604 0.396
#> 00A0586E-5F05-47B3-925C-87E811B0893B 3 0.1182 0.60585 0.016 0.000 0.968 0.016
#> E2B019A7-7C95-40FE-800C-D30E9730825C 3 0.4661 0.37417 0.348 0.000 0.652 0.000
#> 1B9ABB69-5CC6-4B6B-ABBC-71CC3274C7F0 1 0.5519 0.59802 0.660 0.008 0.024 0.308
#> FAE396AA-3C3C-4AF9-953D-385C41B2DB5B 1 0.8786 0.21504 0.412 0.048 0.264 0.276
#> 6BE4397D-1E5B-4486-83B4-EE0EC146C805 2 0.2891 0.79888 0.004 0.896 0.020 0.080
#> EE38BD4E-5A08-4639-912F-04203F53762F 1 0.5935 0.69693 0.736 0.132 0.024 0.108
#> 4050E7F8-80B6-46F2-8FF0-D4EC313E975B 3 0.3649 0.59395 0.204 0.000 0.796 0.000
#> F3565161-FFBE-4138-9773-558DB386710C 1 0.1716 0.71576 0.936 0.000 0.000 0.064
#> BA9ABEB1-D3F0-4F09-A647-25211C47C3D0 2 0.2342 0.80225 0.000 0.912 0.008 0.080
#> 9E41E79A-4028-4F60-8250-411F191B665C 1 0.3219 0.71102 0.868 0.020 0.000 0.112
#> 5F1D3EFD-ECDA-4C92-8D81-491484F09C95 3 0.5056 0.60286 0.076 0.000 0.760 0.164
#> 0DBA04CB-417D-4E2B-BE83-3563F45291C4 1 0.5674 0.70514 0.756 0.112 0.024 0.108
#> B9B882A5-194B-4F5C-B702-0CF71CA6D9D2 4 0.8526 -0.07698 0.252 0.340 0.028 0.380
#> 67FE7638-B8F5-4631-B178-AC23B0382983 1 0.2282 0.72088 0.924 0.000 0.024 0.052
#> FE03FC2C-9A4E-4F89-8681-E33DFECCC692 1 0.5088 0.31456 0.572 0.424 0.000 0.004
#> 2B22B4B7-8A39-435C-BE3B-86FA84C8F941 3 0.6462 0.24438 0.000 0.332 0.580 0.088
#> 00844B35-C108-4AEC-A687-4A91A2F33E6D 1 0.0921 0.71779 0.972 0.000 0.000 0.028
#> C221EE7A-6343-4B6D-B322-0A2C0F0B29AF 1 0.1211 0.71589 0.960 0.000 0.000 0.040
#> B28A6D56-7654-4829-BF1F-657C3C2C10D8 1 0.6330 0.67239 0.692 0.196 0.024 0.088
#> F4C7BCEC-3CD4-4D9A-89EA-0ED58EA0DCFE 1 0.4529 0.67783 0.776 0.004 0.024 0.196
#> F06FBFAB-D143-47AE-BEE7-51B48164764F 1 0.6498 0.62365 0.660 0.220 0.108 0.012
#> 525F522B-E865-4479-AE65-510903ABF46F 3 0.4035 0.53362 0.000 0.176 0.804 0.020
#> F0CB60E3-C412-46A2-918F-8C5C099AB224 3 0.4560 0.34070 0.004 0.000 0.700 0.296
#> 587F307F-6E1B-487E-8E47-A99AB43DC5B4 3 0.3801 0.57842 0.220 0.000 0.780 0.000
#> 883D9145-8414-4571-A3E1-516F03452C46 1 0.6524 0.68424 0.680 0.076 0.036 0.208
#> 4A917271-7EA0-4F43-B474-7F5EA756EB05 1 0.3958 0.71511 0.836 0.052 0.000 0.112
#> BB33015D-218C-4A1E-8839-95837D6E9B88 1 0.7346 0.35105 0.520 0.000 0.280 0.200
#> 021CC81F-710D-4EEA-B1D8-012A81715ACC 1 0.7081 0.11958 0.472 0.004 0.416 0.108
#> B00C4925-47E3-4442-ABEB-82D714A26587 4 0.8251 0.37206 0.100 0.072 0.364 0.464
#> F79B27D3-0426-47BB-9756-7E0759246E5E 2 0.6245 0.63028 0.024 0.696 0.200 0.080
#> 1F179559-D93E-491C-B499-64F86C31DAE0 4 0.6835 0.41362 0.136 0.000 0.288 0.576
#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 3 0.4999 -0.19517 0.000 0.000 0.508 0.492
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 1 0.4226 0.70192 0.844 0.088 0.028 0.040
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 3 0.3123 0.60910 0.156 0.000 0.844 0.000
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 2 0.0336 0.80506 0.008 0.992 0.000 0.000
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 1 0.6332 0.69194 0.712 0.080 0.044 0.164
#> ED9794C0-AC60-4B54-8214-D26714871BBF 1 0.0921 0.71796 0.972 0.000 0.000 0.028
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 4 0.5744 0.60608 0.000 0.108 0.184 0.708
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 2 0.2593 0.80064 0.000 0.904 0.016 0.080
#> 18D816AF-394A-482F-B22E-896A43B1E481 2 0.2706 0.79942 0.000 0.900 0.020 0.080
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 4 0.3356 0.55618 0.176 0.000 0.000 0.824
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 3 0.4996 0.11982 0.000 0.000 0.516 0.484
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 2 0.4323 0.68882 0.000 0.776 0.020 0.204
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 3 0.4004 0.61512 0.164 0.000 0.812 0.024
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 4 0.5700 0.55702 0.084 0.016 0.160 0.740
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 4 0.4235 0.63207 0.000 0.084 0.092 0.824
#> 7E809698-2473-4EFE-B896-1637983EC596 4 0.5792 0.41865 0.000 0.296 0.056 0.648
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 3 0.3907 0.59945 0.032 0.000 0.828 0.140
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 3 0.2111 0.62140 0.044 0.000 0.932 0.024
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 2 0.4820 0.57712 0.000 0.692 0.012 0.296
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.3900 0.72131 0.848 0.096 0.004 0.052
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.2799 0.71205 0.884 0.008 0.000 0.108
#> 73F28A79-7D35-4FE9-849D-FFE681483928 3 0.8273 0.00617 0.176 0.040 0.484 0.300
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 1 0.5025 0.68626 0.780 0.004 0.108 0.108
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 3 0.4843 0.34729 0.000 0.000 0.604 0.396
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 1 0.3634 0.71951 0.856 0.096 0.000 0.048
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.0712 0.80760 0.004 0.984 0.004 0.008
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.1902 0.71582 0.932 0.004 0.000 0.064
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 3 0.6439 0.35037 0.180 0.000 0.648 0.172
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 1 0.6110 0.52179 0.660 0.000 0.240 0.100
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 1 0.7024 0.65081 0.668 0.140 0.140 0.052
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.1022 0.59606 0.000 0.000 0.968 0.032
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.2996 0.72032 0.892 0.044 0.000 0.064
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.0592 0.80426 0.016 0.984 0.000 0.000
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 4 0.6454 0.42257 0.000 0.076 0.380 0.544
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.0592 0.80426 0.016 0.984 0.000 0.000
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 3 0.5989 0.34587 0.000 0.264 0.656 0.080
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 4 0.4092 0.61101 0.008 0.184 0.008 0.800
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 4 0.6895 0.29556 0.276 0.000 0.148 0.576
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 4 0.7539 0.50755 0.132 0.096 0.132 0.640
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.2413 0.72085 0.916 0.020 0.000 0.064
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.4972 0.07458 0.456 0.000 0.544 0.000
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.3914 0.69290 0.840 0.120 0.036 0.004
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.6969 0.06035 0.448 0.440 0.000 0.112
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.2714 0.66658 0.884 0.000 0.112 0.004
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.2412 0.80109 0.000 0.908 0.008 0.084
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 3 0.1520 0.60666 0.024 0.000 0.956 0.020
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 3 0.6061 0.24034 0.400 0.000 0.552 0.048
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 1 0.7805 0.61751 0.612 0.104 0.176 0.108
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.2513 0.72662 0.924 0.036 0.024 0.016
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 4 0.4788 0.64266 0.072 0.068 0.040 0.820
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 4 0.4088 0.62969 0.008 0.144 0.024 0.824
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 1 0.8045 0.38367 0.488 0.032 0.156 0.324
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 4 0.3081 0.63373 0.000 0.064 0.048 0.888
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 4 0.5938 -0.06376 0.036 0.000 0.480 0.484
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 4 0.5000 -0.11117 0.000 0.000 0.496 0.504
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.2401 0.70728 0.904 0.092 0.000 0.004
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.4947 0.67791 0.800 0.124 0.040 0.036
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 3 0.4175 0.43462 0.012 0.000 0.776 0.212
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.3667 0.78952 0.000 0.856 0.056 0.088
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.4254 0.78383 0.004 0.824 0.052 0.120
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 4 0.3486 0.52549 0.000 0.000 0.188 0.812
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.7670 0.36991 0.056 0.168 0.608 0.168
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.3390 0.73147 0.132 0.852 0.000 0.016
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 4 0.6961 0.50681 0.052 0.084 0.208 0.656
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 4 0.5159 0.55600 0.004 0.064 0.176 0.756
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 1 0.7629 0.35111 0.452 0.220 0.328 0.000
#> CA356591-D24F-41A8-8C9A-1178C7781510 4 0.4106 0.62222 0.000 0.084 0.084 0.832
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.1406 0.60603 0.016 0.000 0.960 0.024
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.0707 0.71694 0.980 0.000 0.000 0.020
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 4 0.3039 0.56553 0.000 0.012 0.152 0.836 0.000
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 1 0.8161 0.09749 0.364 0.176 0.320 0.000 0.140
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 4 0.3333 0.55868 0.000 0.008 0.164 0.820 0.008
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.1216 0.76693 0.000 0.960 0.000 0.020 0.020
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 3 0.5492 0.55263 0.020 0.000 0.692 0.176 0.112
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 1 0.4969 0.35469 0.652 0.056 0.000 0.000 0.292
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 3 0.3983 0.44971 0.000 0.000 0.660 0.340 0.000
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 4 0.0898 0.65768 0.020 0.000 0.000 0.972 0.008
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.2873 0.77355 0.000 0.856 0.000 0.128 0.016
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.0693 0.76528 0.000 0.980 0.000 0.012 0.008
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 1 0.7179 0.20410 0.440 0.124 0.048 0.004 0.384
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.4503 0.50863 0.312 0.000 0.664 0.000 0.024
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#> A8F79C08-3943-4707-ADCB-890A955B5394 2 0.2932 0.74835 0.000 0.864 0.000 0.032 0.104
#> A81614ED-14CB-4EBC-988E-F67FBCBF62D8 1 0.6642 0.18401 0.420 0.352 0.000 0.000 0.228
#> E27E65C8-5B57-4C91-9D20-C075AEA2F2C5 1 0.5982 0.19785 0.552 0.000 0.136 0.000 0.312
#> 745F18CA-080D-42FE-BAA6-89AD7E3D3408 2 0.3565 0.75452 0.000 0.800 0.024 0.176 0.000
#> E755A625-799D-4A39-9D56-080228E0B669 5 0.4829 -0.20250 0.020 0.484 0.000 0.000 0.496
#> 3D94EFB8-94D4-4FDE-97D8-18A159279996 1 0.6298 0.41275 0.648 0.112 0.004 0.052 0.184
#> 3D305C2E-6C86-4684-AA2A-155291AB4CC3 1 0.2179 0.41340 0.888 0.000 0.000 0.000 0.112
#> E140052A-5434-4C44-9873-0318D1D272CA 2 0.2513 0.77156 0.000 0.876 0.000 0.116 0.008
#> 68E56692-D46D-4A27-86CD-717E10AADDDA 3 0.4171 0.35909 0.000 0.000 0.604 0.396 0.000
#> 00A0586E-5F05-47B3-925C-87E811B0893B 3 0.2492 0.60355 0.020 0.000 0.900 0.008 0.072
#> E2B019A7-7C95-40FE-800C-D30E9730825C 3 0.4779 0.29956 0.448 0.000 0.536 0.004 0.012
#> 1B9ABB69-5CC6-4B6B-ABBC-71CC3274C7F0 1 0.5716 0.07363 0.552 0.004 0.000 0.080 0.364
#> FAE396AA-3C3C-4AF9-953D-385C41B2DB5B 1 0.8481 -0.14596 0.348 0.004 0.172 0.188 0.288
#> 6BE4397D-1E5B-4486-83B4-EE0EC146C805 2 0.2771 0.76654 0.000 0.860 0.012 0.128 0.000
#> EE38BD4E-5A08-4639-912F-04203F53762F 5 0.5114 -0.07650 0.472 0.036 0.000 0.000 0.492
#> 4050E7F8-80B6-46F2-8FF0-D4EC313E975B 3 0.5073 0.53863 0.212 0.000 0.688 0.000 0.100
#> F3565161-FFBE-4138-9773-558DB386710C 5 0.4443 0.22508 0.472 0.004 0.000 0.000 0.524
#> BA9ABEB1-D3F0-4F09-A647-25211C47C3D0 2 0.2230 0.76974 0.000 0.884 0.000 0.116 0.000
#> 9E41E79A-4028-4F60-8250-411F191B665C 5 0.4166 0.32724 0.348 0.004 0.000 0.000 0.648
#> 5F1D3EFD-ECDA-4C92-8D81-491484F09C95 3 0.5429 0.60830 0.124 0.000 0.696 0.164 0.016
#> 0DBA04CB-417D-4E2B-BE83-3563F45291C4 1 0.5112 0.03021 0.496 0.036 0.000 0.000 0.468
#> B9B882A5-194B-4F5C-B702-0CF71CA6D9D2 4 0.8013 0.04826 0.220 0.124 0.000 0.432 0.224
#> 67FE7638-B8F5-4631-B178-AC23B0382983 1 0.4585 0.02259 0.636 0.004 0.004 0.008 0.348
#> FE03FC2C-9A4E-4F89-8681-E33DFECCC692 1 0.6476 0.21520 0.476 0.320 0.000 0.000 0.204
#> 2B22B4B7-8A39-435C-BE3B-86FA84C8F941 3 0.5858 0.36245 0.000 0.204 0.632 0.156 0.008
#> 00844B35-C108-4AEC-A687-4A91A2F33E6D 1 0.4375 -0.01440 0.576 0.004 0.000 0.000 0.420
#> C221EE7A-6343-4B6D-B322-0A2C0F0B29AF 1 0.4114 0.16745 0.624 0.000 0.000 0.000 0.376
#> B28A6D56-7654-4829-BF1F-657C3C2C10D8 1 0.3779 0.43323 0.752 0.012 0.000 0.000 0.236
#> F4C7BCEC-3CD4-4D9A-89EA-0ED58EA0DCFE 1 0.6005 0.08646 0.580 0.012 0.000 0.104 0.304
#> F06FBFAB-D143-47AE-BEE7-51B48164764F 1 0.5870 0.42653 0.696 0.116 0.040 0.008 0.140
#> 525F522B-E865-4479-AE65-510903ABF46F 3 0.3918 0.56601 0.000 0.144 0.804 0.044 0.008
#> F0CB60E3-C412-46A2-918F-8C5C099AB224 3 0.6455 0.18385 0.004 0.000 0.528 0.228 0.240
#> 587F307F-6E1B-487E-8E47-A99AB43DC5B4 3 0.3796 0.52083 0.300 0.000 0.700 0.000 0.000
#> 883D9145-8414-4571-A3E1-516F03452C46 1 0.5028 0.41149 0.732 0.008 0.004 0.100 0.156
#> 4A917271-7EA0-4F43-B474-7F5EA756EB05 5 0.4555 0.33158 0.344 0.020 0.000 0.000 0.636
#> BB33015D-218C-4A1E-8839-95837D6E9B88 5 0.7675 0.22200 0.312 0.004 0.176 0.068 0.440
#> 021CC81F-710D-4EEA-B1D8-012A81715ACC 1 0.6882 -0.09213 0.428 0.004 0.220 0.004 0.344
#> B00C4925-47E3-4442-ABEB-82D714A26587 4 0.7343 -0.01901 0.024 0.000 0.296 0.364 0.316
#> F79B27D3-0426-47BB-9756-7E0759246E5E 2 0.7895 0.42351 0.000 0.432 0.288 0.152 0.128
#> 1F179559-D93E-491C-B499-64F86C31DAE0 4 0.8292 0.22301 0.260 0.000 0.156 0.376 0.208
#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 4 0.6429 0.44064 0.000 0.000 0.296 0.496 0.208
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 1 0.3003 0.42161 0.864 0.092 0.000 0.000 0.044
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 3 0.5127 0.53949 0.184 0.000 0.692 0.000 0.124
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 2 0.2690 0.70905 0.000 0.844 0.000 0.000 0.156
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 1 0.5302 0.09898 0.556 0.028 0.004 0.008 0.404
#> ED9794C0-AC60-4B54-8214-D26714871BBF 1 0.4291 -0.10772 0.536 0.000 0.000 0.000 0.464
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 4 0.5778 0.58462 0.000 0.016 0.168 0.660 0.156
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 2 0.2574 0.76787 0.000 0.876 0.012 0.112 0.000
#> 18D816AF-394A-482F-B22E-896A43B1E481 2 0.2771 0.76654 0.000 0.860 0.012 0.128 0.000
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 4 0.5552 0.28987 0.088 0.000 0.000 0.584 0.328
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 4 0.4256 0.07084 0.000 0.000 0.436 0.564 0.000
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 2 0.3039 0.76260 0.000 0.836 0.012 0.152 0.000
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 3 0.4464 0.52592 0.304 0.000 0.676 0.012 0.008
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 4 0.5966 0.51935 0.004 0.000 0.164 0.604 0.228
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 4 0.2857 0.63043 0.000 0.008 0.112 0.868 0.012
#> 7E809698-2473-4EFE-B896-1637983EC596 4 0.4652 0.53011 0.000 0.144 0.092 0.756 0.008
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 3 0.3243 0.61595 0.032 0.000 0.848 0.116 0.004
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 3 0.2026 0.64029 0.056 0.000 0.924 0.008 0.012
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 2 0.4449 0.30867 0.000 0.512 0.004 0.484 0.000
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.5778 0.13225 0.528 0.096 0.000 0.000 0.376
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 5 0.4497 0.31862 0.352 0.016 0.000 0.000 0.632
#> 73F28A79-7D35-4FE9-849D-FFE681483928 3 0.7834 -0.17964 0.092 0.000 0.408 0.184 0.316
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 1 0.6211 0.08108 0.512 0.004 0.132 0.000 0.352
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 3 0.4302 0.19902 0.000 0.000 0.520 0.480 0.000
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 1 0.5538 0.21063 0.596 0.092 0.000 0.000 0.312
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.0992 0.76216 0.000 0.968 0.000 0.008 0.024
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 5 0.4375 0.28788 0.420 0.004 0.000 0.000 0.576
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 3 0.5491 0.04778 0.044 0.000 0.480 0.008 0.468
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 1 0.6962 0.02263 0.432 0.000 0.136 0.036 0.396
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 1 0.5536 0.44490 0.736 0.108 0.024 0.028 0.104
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.0798 0.61390 0.000 0.000 0.976 0.016 0.008
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 5 0.4640 0.29947 0.400 0.016 0.000 0.000 0.584
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.3141 0.71337 0.000 0.832 0.000 0.016 0.152
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 4 0.5748 0.46539 0.000 0.000 0.300 0.584 0.116
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.3039 0.71262 0.000 0.836 0.000 0.012 0.152
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 3 0.5645 0.43348 0.000 0.176 0.660 0.156 0.008
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 4 0.1628 0.65267 0.000 0.056 0.000 0.936 0.008
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 4 0.7666 0.32902 0.124 0.000 0.128 0.468 0.280
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 4 0.5303 0.59938 0.072 0.036 0.076 0.768 0.048
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 5 0.4425 0.30195 0.392 0.008 0.000 0.000 0.600
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.4273 0.22374 0.448 0.000 0.552 0.000 0.000
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.5655 0.22516 0.600 0.092 0.004 0.000 0.304
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 5 0.4636 0.28927 0.132 0.124 0.000 0.000 0.744
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.5213 0.21304 0.640 0.000 0.076 0.000 0.284
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.2411 0.77268 0.000 0.884 0.000 0.108 0.008
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 3 0.3320 0.58115 0.012 0.000 0.828 0.008 0.152
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 3 0.6655 0.18820 0.348 0.000 0.448 0.004 0.200
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 1 0.6192 0.17490 0.508 0.024 0.076 0.000 0.392
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.3247 0.40900 0.840 0.016 0.000 0.008 0.136
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 4 0.3537 0.64956 0.052 0.000 0.040 0.856 0.052
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 4 0.1074 0.65094 0.000 0.012 0.016 0.968 0.004
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 5 0.7717 0.26164 0.276 0.000 0.132 0.128 0.464
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 4 0.2471 0.64884 0.000 0.000 0.000 0.864 0.136
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 4 0.4446 -0.03976 0.004 0.000 0.476 0.520 0.000
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 4 0.4150 0.18350 0.000 0.000 0.388 0.612 0.000
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.5365 0.22050 0.628 0.088 0.000 0.000 0.284
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.6082 0.22708 0.576 0.092 0.020 0.000 0.312
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 3 0.5758 0.36723 0.008 0.000 0.636 0.128 0.228
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.5636 0.69136 0.000 0.676 0.152 0.156 0.016
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.6867 0.69203 0.000 0.592 0.084 0.184 0.140
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 4 0.2824 0.65111 0.000 0.000 0.020 0.864 0.116
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.6950 0.43495 0.048 0.164 0.612 0.152 0.024
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.3687 0.67926 0.028 0.792 0.000 0.000 0.180
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 4 0.3613 0.60268 0.020 0.004 0.112 0.840 0.024
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 4 0.4158 0.62925 0.000 0.000 0.092 0.784 0.124
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 1 0.7863 0.24692 0.424 0.116 0.304 0.000 0.156
#> CA356591-D24F-41A8-8C9A-1178C7781510 4 0.0955 0.65291 0.000 0.000 0.028 0.968 0.004
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.1885 0.62796 0.044 0.000 0.932 0.004 0.020
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.3876 0.14235 0.684 0.000 0.000 0.000 0.316
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 6 0.3593 0.60690 0.000 0.004 0.164 0.044 0.000 0.788
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.8397 0.10107 0.036 0.168 0.388 0.140 0.240 0.028
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 6 0.4283 0.50101 0.000 0.004 0.036 0.288 0.000 0.672
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.1267 0.73727 0.000 0.940 0.000 0.060 0.000 0.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 3 0.6251 0.34823 0.040 0.000 0.592 0.072 0.048 0.248
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 3 0.8853 -0.16553 0.192 0.004 0.312 0.132 0.192 0.168
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 3 0.4018 0.26510 0.000 0.000 0.656 0.020 0.000 0.324
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 6 0.1788 0.64441 0.000 0.004 0.000 0.040 0.028 0.928
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.0865 0.74960 0.000 0.964 0.000 0.036 0.000 0.000
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.0547 0.75192 0.000 0.980 0.000 0.020 0.000 0.000
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 4 0.8811 -0.09910 0.064 0.032 0.192 0.364 0.164 0.184
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.1483 0.44337 0.008 0.000 0.944 0.012 0.036 0.000
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.4409 0.54777 0.716 0.000 0.060 0.012 0.212 0.000
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.1285 0.74421 0.000 0.944 0.000 0.052 0.000 0.004
#> ECB2DF14-CF68-44D4-8719-973AE448B992 5 0.7905 0.22928 0.088 0.000 0.120 0.248 0.436 0.108
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 6 0.2793 0.60761 0.000 0.000 0.000 0.000 0.200 0.800
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 3 0.4959 0.14089 0.072 0.000 0.616 0.008 0.304 0.000
#> 3282F146-2782-4877-9EFE-6020AC277A8C 6 0.3245 0.60917 0.000 0.004 0.000 0.184 0.016 0.796
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 6 0.3563 0.46622 0.000 0.000 0.000 0.000 0.336 0.664
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 4 0.5300 0.44917 0.036 0.012 0.048 0.728 0.136 0.040
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.7791 0.23601 0.044 0.396 0.040 0.336 0.032 0.152
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 5 0.6363 0.20095 0.032 0.004 0.252 0.096 0.580 0.036
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.1957 0.72581 0.000 0.888 0.000 0.112 0.000 0.000
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 1 0.6327 0.19507 0.364 0.000 0.304 0.008 0.324 0.000
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 3 0.4962 0.33944 0.000 0.000 0.640 0.060 0.280 0.020
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 4 0.6285 0.32313 0.012 0.016 0.216 0.596 0.132 0.028
#> C945DDA9-0194-46F4-89E2-13883284D5A4 5 0.4136 -0.02279 0.000 0.000 0.012 0.000 0.560 0.428
#> 79B11925-9772-474F-A729-D00315959710 1 0.2277 0.56238 0.892 0.000 0.000 0.000 0.032 0.076
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 2 0.7720 0.12163 0.088 0.376 0.000 0.156 0.048 0.332
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 1 0.5264 0.44191 0.588 0.000 0.100 0.008 0.304 0.000
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 3 0.3894 0.37122 0.004 0.000 0.708 0.020 0.268 0.000
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 5 0.4877 0.26844 0.148 0.000 0.192 0.000 0.660 0.000
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.6217 0.29765 0.032 0.432 0.000 0.428 0.012 0.096
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 1 0.6325 0.19847 0.368 0.000 0.316 0.008 0.308 0.000
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.2762 0.44608 0.000 0.000 0.860 0.092 0.048 0.000
#> 26796E5F-C0C2-466C-9012-882F6D29C149 4 0.5005 0.36322 0.020 0.000 0.300 0.632 0.008 0.040
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 0.3543 0.56368 0.756 0.000 0.016 0.004 0.224 0.000
#> 1492D21A-6458-4B49-B530-7A327FCDD031 5 0.4010 0.26448 0.020 0.000 0.004 0.004 0.708 0.264
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#> 68E56692-D46D-4A27-86CD-717E10AADDDA 3 0.3993 0.14110 0.000 0.000 0.592 0.008 0.000 0.400
#> 00A0586E-5F05-47B3-925C-87E811B0893B 3 0.3563 0.30278 0.000 0.000 0.664 0.000 0.336 0.000
#> E2B019A7-7C95-40FE-800C-D30E9730825C 3 0.2020 0.40447 0.008 0.000 0.896 0.000 0.096 0.000
#> 1B9ABB69-5CC6-4B6B-ABBC-71CC3274C7F0 3 0.8016 -0.19984 0.244 0.000 0.300 0.020 0.268 0.168
#> FAE396AA-3C3C-4AF9-953D-385C41B2DB5B 3 0.7141 -0.04248 0.140 0.000 0.520 0.020 0.152 0.168
#> 6BE4397D-1E5B-4486-83B4-EE0EC146C805 2 0.2402 0.71324 0.000 0.856 0.000 0.140 0.000 0.004
#> EE38BD4E-5A08-4639-912F-04203F53762F 3 0.8774 -0.15722 0.244 0.004 0.300 0.140 0.116 0.196
#> 4050E7F8-80B6-46F2-8FF0-D4EC313E975B 3 0.2537 0.44559 0.024 0.000 0.880 0.088 0.000 0.008
#> F3565161-FFBE-4138-9773-558DB386710C 1 0.1788 0.57541 0.916 0.000 0.004 0.000 0.004 0.076
#> BA9ABEB1-D3F0-4F09-A647-25211C47C3D0 2 0.0632 0.75034 0.000 0.976 0.000 0.024 0.000 0.000
#> 9E41E79A-4028-4F60-8250-411F191B665C 1 0.3487 0.52202 0.788 0.000 0.000 0.000 0.044 0.168
#> 5F1D3EFD-ECDA-4C92-8D81-491484F09C95 3 0.3421 0.43069 0.000 0.000 0.804 0.016 0.020 0.160
#> 0DBA04CB-417D-4E2B-BE83-3563F45291C4 3 0.9042 -0.16292 0.240 0.020 0.292 0.140 0.112 0.196
#> B9B882A5-194B-4F5C-B702-0CF71CA6D9D2 6 0.7181 0.08293 0.052 0.032 0.188 0.192 0.012 0.524
#> 67FE7638-B8F5-4631-B178-AC23B0382983 1 0.7451 0.25624 0.388 0.000 0.228 0.000 0.216 0.168
#> FE03FC2C-9A4E-4F89-8681-E33DFECCC692 5 0.9652 -0.09467 0.100 0.220 0.120 0.184 0.260 0.116
#> 2B22B4B7-8A39-435C-BE3B-86FA84C8F941 4 0.3073 0.53149 0.000 0.016 0.164 0.816 0.000 0.004
#> 00844B35-C108-4AEC-A687-4A91A2F33E6D 1 0.3210 0.58932 0.844 0.000 0.012 0.000 0.072 0.072
#> C221EE7A-6343-4B6D-B322-0A2C0F0B29AF 1 0.3431 0.56431 0.756 0.000 0.016 0.000 0.228 0.000
#> B28A6D56-7654-4829-BF1F-657C3C2C10D8 5 0.7158 0.05745 0.132 0.000 0.316 0.080 0.448 0.024
#> F4C7BCEC-3CD4-4D9A-89EA-0ED58EA0DCFE 5 0.7801 0.10557 0.100 0.000 0.284 0.044 0.396 0.176
#> F06FBFAB-D143-47AE-BEE7-51B48164764F 3 0.8166 -0.06859 0.108 0.028 0.384 0.164 0.288 0.028
#> 525F522B-E865-4479-AE65-510903ABF46F 4 0.3791 0.48550 0.000 0.032 0.236 0.732 0.000 0.000
#> F0CB60E3-C412-46A2-918F-8C5C099AB224 5 0.4332 0.21039 0.000 0.000 0.352 0.000 0.616 0.032
#> 587F307F-6E1B-487E-8E47-A99AB43DC5B4 3 0.0405 0.44693 0.004 0.000 0.988 0.008 0.000 0.000
#> 883D9145-8414-4571-A3E1-516F03452C46 5 0.7170 0.09925 0.080 0.004 0.320 0.048 0.472 0.076
#> 4A917271-7EA0-4F43-B474-7F5EA756EB05 1 0.4556 0.51885 0.744 0.004 0.000 0.036 0.056 0.160
#> BB33015D-218C-4A1E-8839-95837D6E9B88 5 0.8802 0.16190 0.176 0.000 0.236 0.136 0.280 0.172
#> 021CC81F-710D-4EEA-B1D8-012A81715ACC 3 0.6737 -0.01248 0.248 0.000 0.496 0.000 0.088 0.168
#> B00C4925-47E3-4442-ABEB-82D714A26587 5 0.7438 0.23123 0.080 0.004 0.036 0.140 0.460 0.280
#> F79B27D3-0426-47BB-9756-7E0759246E5E 4 0.6072 -0.06942 0.000 0.384 0.128 0.460 0.000 0.028
#> 1F179559-D93E-491C-B499-64F86C31DAE0 5 0.3043 0.31781 0.000 0.000 0.008 0.000 0.792 0.200
#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 5 0.5430 0.18432 0.000 0.000 0.084 0.032 0.612 0.272
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 1 0.6225 0.26565 0.424 0.000 0.260 0.008 0.308 0.000
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 3 0.3669 0.39989 0.028 0.000 0.760 0.000 0.208 0.004
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 2 0.4047 0.59361 0.000 0.676 0.000 0.296 0.000 0.028
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 3 0.8655 -0.15446 0.244 0.000 0.296 0.100 0.164 0.196
#> ED9794C0-AC60-4B54-8214-D26714871BBF 1 0.3210 0.59382 0.844 0.000 0.012 0.000 0.072 0.072
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 6 0.4561 0.26643 0.000 0.000 0.000 0.036 0.428 0.536
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 2 0.0790 0.74800 0.000 0.968 0.000 0.032 0.000 0.000
#> 18D816AF-394A-482F-B22E-896A43B1E481 2 0.1204 0.74298 0.000 0.944 0.000 0.056 0.000 0.000
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 6 0.3860 0.44330 0.164 0.000 0.000 0.000 0.072 0.764
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 6 0.4150 0.32830 0.000 0.000 0.392 0.016 0.000 0.592
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 2 0.3189 0.57742 0.000 0.760 0.000 0.236 0.000 0.004
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 3 0.2918 0.44402 0.004 0.000 0.856 0.104 0.032 0.004
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 5 0.4396 0.11504 0.000 0.000 0.000 0.036 0.612 0.352
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 4 0.4077 0.38024 0.000 0.004 0.000 0.724 0.044 0.228
#> 7E809698-2473-4EFE-B896-1637983EC596 4 0.4443 0.15330 0.000 0.036 0.000 0.596 0.000 0.368
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 3 0.4145 0.35353 0.000 0.000 0.700 0.252 0.000 0.048
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 3 0.4281 0.36881 0.000 0.000 0.704 0.228 0.068 0.000
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 2 0.6080 -0.01986 0.000 0.396 0.000 0.316 0.000 0.288
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.6633 0.55392 0.616 0.012 0.076 0.036 0.164 0.096
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.4416 0.50905 0.744 0.000 0.000 0.032 0.056 0.168
#> 73F28A79-7D35-4FE9-849D-FFE681483928 5 0.7666 0.13828 0.084 0.000 0.300 0.040 0.396 0.180
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 3 0.7594 -0.07022 0.248 0.000 0.408 0.012 0.160 0.172
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 3 0.3950 0.07755 0.004 0.000 0.564 0.000 0.000 0.432
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 1 0.3721 0.56477 0.728 0.000 0.016 0.004 0.252 0.000
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.1010 0.74891 0.000 0.960 0.000 0.036 0.000 0.004
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.2048 0.56493 0.880 0.000 0.000 0.000 0.000 0.120
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 5 0.4855 0.21724 0.076 0.000 0.328 0.000 0.596 0.000
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 5 0.3043 0.24227 0.196 0.000 0.000 0.004 0.796 0.004
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 3 0.7943 -0.09628 0.080 0.012 0.372 0.116 0.352 0.068
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.3986 0.06013 0.000 0.000 0.532 0.464 0.004 0.000
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.1858 0.57284 0.912 0.000 0.000 0.012 0.000 0.076
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.3529 0.66053 0.000 0.764 0.000 0.208 0.000 0.028
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 5 0.5880 0.13599 0.000 0.000 0.052 0.088 0.560 0.300
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.3481 0.66406 0.000 0.776 0.000 0.192 0.000 0.032
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 4 0.3341 0.50545 0.000 0.012 0.208 0.776 0.000 0.004
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 6 0.3763 0.63491 0.000 0.100 0.000 0.044 0.044 0.812
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 5 0.5352 0.19900 0.008 0.000 0.048 0.032 0.608 0.304
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 6 0.1230 0.63005 0.000 0.008 0.028 0.008 0.000 0.956
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.4031 0.52694 0.768 0.000 0.000 0.028 0.036 0.168
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.5248 0.34556 0.004 0.000 0.616 0.144 0.236 0.000
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.3543 0.56368 0.756 0.000 0.016 0.004 0.224 0.000
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.6534 0.39732 0.592 0.044 0.000 0.148 0.044 0.172
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.3543 0.56368 0.756 0.000 0.016 0.004 0.224 0.000
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.0632 0.75034 0.000 0.976 0.000 0.024 0.000 0.000
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 3 0.4880 0.35831 0.028 0.000 0.664 0.040 0.264 0.004
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 3 0.4935 0.26281 0.032 0.000 0.708 0.000 0.120 0.140
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 5 0.8823 0.00956 0.092 0.004 0.228 0.224 0.260 0.192
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 3 0.8367 -0.17001 0.180 0.000 0.316 0.096 0.300 0.108
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 6 0.2717 0.62847 0.004 0.004 0.000 0.024 0.100 0.868
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 6 0.3290 0.56173 0.000 0.004 0.000 0.252 0.000 0.744
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 5 0.7891 0.21672 0.220 0.000 0.076 0.084 0.432 0.188
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 6 0.2793 0.60761 0.000 0.000 0.000 0.000 0.200 0.800
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 6 0.5885 0.23651 0.000 0.000 0.276 0.248 0.000 0.476
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 6 0.3930 0.39151 0.000 0.000 0.364 0.004 0.004 0.628
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.3543 0.56368 0.756 0.000 0.016 0.004 0.224 0.000
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.3624 0.56427 0.756 0.000 0.016 0.008 0.220 0.000
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 5 0.5292 0.07164 0.016 0.000 0.420 0.032 0.516 0.016
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 4 0.3997 0.40146 0.000 0.288 0.020 0.688 0.000 0.004
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 4 0.2234 0.50225 0.000 0.124 0.000 0.872 0.000 0.004
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 6 0.3534 0.62796 0.000 0.000 0.000 0.124 0.076 0.800
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 4 0.4787 0.52028 0.004 0.016 0.176 0.732 0.024 0.048
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.4377 0.64088 0.056 0.744 0.000 0.172 0.000 0.028
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 6 0.2194 0.64315 0.000 0.004 0.036 0.040 0.008 0.912
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 6 0.3627 0.63242 0.000 0.000 0.028 0.020 0.156 0.796
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.6890 0.18107 0.000 0.032 0.440 0.336 0.164 0.028
#> CA356591-D24F-41A8-8C9A-1178C7781510 6 0.3316 0.62059 0.000 0.004 0.000 0.164 0.028 0.804
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.4402 0.38324 0.000 0.000 0.712 0.184 0.104 0.000
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.3614 0.58720 0.792 0.000 0.016 0.000 0.164 0.028
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 17888 rows and 430 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'SD' method.
#> Subgroups are detected by 'mclust' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 3.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.258 0.681 0.816 0.4484 0.533 0.533
#> 3 3 0.390 0.713 0.763 0.3311 0.618 0.416
#> 4 4 0.627 0.700 0.851 0.2241 0.810 0.553
#> 5 5 0.664 0.687 0.821 0.0709 0.848 0.514
#> 6 6 0.687 0.657 0.784 0.0355 0.926 0.681
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
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 2 0.6438 0.80776 0.164 0.836
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 2 0.8386 0.80748 0.268 0.732
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 2 0.3274 0.63896 0.060 0.940
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.7815 0.81399 0.232 0.768
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 2 0.6438 0.55086 0.164 0.836
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 1 0.9896 -0.23500 0.560 0.440
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#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 2 0.4161 0.60840 0.084 0.916
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#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 2 0.9732 0.61654 0.404 0.596
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 2 0.8144 0.80818 0.252 0.748
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.1414 0.81804 0.980 0.020
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.1633 0.81899 0.976 0.024
#> 73F28A79-7D35-4FE9-849D-FFE681483928 1 0.9209 0.66107 0.664 0.336
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 1 0.1633 0.81899 0.976 0.024
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 2 0.8661 0.77998 0.288 0.712
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 1 0.0000 0.81046 1.000 0.000
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.8016 0.81279 0.244 0.756
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.1633 0.81899 0.976 0.024
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 1 0.9358 0.65299 0.648 0.352
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 1 0.1843 0.81868 0.972 0.028
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 1 0.7528 0.54133 0.784 0.216
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 2 0.7745 0.81191 0.228 0.772
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.1633 0.81899 0.976 0.024
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.8499 0.78986 0.276 0.724
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 2 0.9323 -0.03429 0.348 0.652
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.7883 0.81328 0.236 0.764
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 2 0.7056 0.81505 0.192 0.808
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 2 0.0376 0.68626 0.004 0.996
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 2 0.9170 0.71321 0.332 0.668
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 2 0.0938 0.69135 0.012 0.988
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.1633 0.81899 0.976 0.024
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 1 0.9933 -0.22281 0.548 0.452
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.0000 0.81046 1.000 0.000
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.1633 0.81899 0.976 0.024
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.0000 0.81046 1.000 0.000
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.7815 0.81399 0.232 0.768
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 1 0.9635 0.60924 0.612 0.388
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.5629 0.76566 0.868 0.132
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 1 0.9552 0.18575 0.624 0.376
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.1633 0.81899 0.976 0.024
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 2 0.3733 0.62866 0.072 0.928
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 2 0.0000 0.68258 0.000 1.000
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 2 0.8955 0.13686 0.312 0.688
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 2 0.2948 0.66488 0.052 0.948
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 2 0.7745 0.81191 0.228 0.772
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 2 0.4298 0.75208 0.088 0.912
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.0000 0.81046 1.000 0.000
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.0000 0.81046 1.000 0.000
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 1 0.9996 0.45860 0.512 0.488
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.8386 0.80778 0.268 0.732
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.7815 0.81399 0.232 0.768
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 2 0.5059 0.77448 0.112 0.888
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 2 0.7745 0.81242 0.228 0.772
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.9686 0.62230 0.396 0.604
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 2 0.2603 0.72353 0.044 0.956
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 2 0.0938 0.69135 0.012 0.988
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 2 0.8386 0.80748 0.268 0.732
#> CA356591-D24F-41A8-8C9A-1178C7781510 2 0.7219 0.81561 0.200 0.800
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 2 0.9996 0.40116 0.488 0.512
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.1633 0.81899 0.976 0.024
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 3 0.4861 0.7582 0.008 0.192 0.800
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 2 0.7489 0.6714 0.256 0.664 0.080
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 3 0.0000 0.7640 0.000 0.000 1.000
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.7437 0.8256 0.200 0.692 0.108
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 3 0.0000 0.7640 0.000 0.000 1.000
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 2 0.8703 0.7423 0.332 0.544 0.124
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 3 0.5678 0.7571 0.032 0.192 0.776
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 3 0.0424 0.7645 0.000 0.008 0.992
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.7437 0.8256 0.200 0.692 0.108
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.7437 0.8256 0.200 0.692 0.108
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.8600 0.7873 0.284 0.580 0.136
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.7640 0.7035 0.056 0.352 0.592
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.0000 0.8859 1.000 0.000 0.000
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.7437 0.8256 0.200 0.692 0.108
#> ECB2DF14-CF68-44D4-8719-973AE448B992 3 0.3752 0.7200 0.144 0.000 0.856
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 3 0.2793 0.7583 0.028 0.044 0.928
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 3 0.8637 0.6918 0.152 0.260 0.588
#> 3282F146-2782-4877-9EFE-6020AC277A8C 3 0.0747 0.7669 0.000 0.016 0.984
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 3 0.0000 0.7640 0.000 0.000 1.000
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 2 0.9850 0.5885 0.264 0.412 0.324
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.7835 0.8178 0.232 0.656 0.112
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 3 0.5058 0.6189 0.244 0.000 0.756
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.7437 0.8256 0.200 0.692 0.108
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 1 0.0000 0.8859 1.000 0.000 0.000
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 3 0.1643 0.7675 0.000 0.044 0.956
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 3 0.0237 0.7624 0.000 0.004 0.996
#> C945DDA9-0194-46F4-89E2-13883284D5A4 3 0.5891 0.7542 0.036 0.200 0.764
#> 79B11925-9772-474F-A729-D00315959710 1 0.1163 0.8862 0.972 0.000 0.028
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 3 0.7069 -0.3011 0.020 0.472 0.508
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 1 0.0000 0.8859 1.000 0.000 0.000
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 3 0.0592 0.7657 0.000 0.012 0.988
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.2356 0.8565 0.928 0.000 0.072
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.9281 0.6349 0.172 0.488 0.340
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 1 0.0000 0.8859 1.000 0.000 0.000
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.7640 0.7035 0.056 0.352 0.592
#> 26796E5F-C0C2-466C-9012-882F6D29C149 3 0.2066 0.7671 0.000 0.060 0.940
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 0.0000 0.8859 1.000 0.000 0.000
#> 1492D21A-6458-4B49-B530-7A327FCDD031 3 0.3879 0.7179 0.152 0.000 0.848
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 3 0.0000 0.7640 0.000 0.000 1.000
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 3 0.0000 0.7640 0.000 0.000 1.000
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.2448 0.8577 0.924 0.000 0.076
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 3 0.4978 0.6561 0.216 0.004 0.780
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.7437 0.8256 0.200 0.692 0.108
#> E846120D-D9E6-46F8-9647-2272AB064072 1 0.0000 0.8859 1.000 0.000 0.000
#> 36880C8C-91A9-49A9-A2D5-957161737F31 2 0.7915 0.8049 0.248 0.644 0.108
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.7437 0.8256 0.200 0.692 0.108
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 2 0.8311 0.7934 0.252 0.616 0.132
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 1 0.0000 0.8859 1.000 0.000 0.000
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 3 0.0000 0.7640 0.000 0.000 1.000
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 2 0.8048 0.7927 0.264 0.628 0.108
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 3 0.8043 0.7008 0.084 0.324 0.592
#> 116F3F29-AB89-4F00-9003-559041E285EB 3 0.7825 0.7118 0.080 0.300 0.620
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.8430 0.7988 0.260 0.604 0.136
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 3 0.3610 0.7634 0.096 0.016 0.888
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 3 0.4892 0.7123 0.112 0.048 0.840
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 3 0.0000 0.7640 0.000 0.000 1.000
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 1 0.0592 0.8830 0.988 0.012 0.000
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 2 0.7920 0.3626 0.056 0.476 0.468
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 2 0.9862 0.1093 0.256 0.392 0.352
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.0592 0.8875 0.988 0.000 0.012
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 3 0.7640 0.7035 0.056 0.352 0.592
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.7610 0.8151 0.216 0.676 0.108
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 3 0.7637 0.7240 0.076 0.284 0.640
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 1 0.3879 0.7049 0.848 0.000 0.152
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 3 0.3875 0.7438 0.068 0.044 0.888
#> CD576099-5450-4232-9B59-08341BED8FFA 3 0.0000 0.7640 0.000 0.000 1.000
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 3 0.0592 0.7626 0.000 0.012 0.988
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 1 0.1411 0.8837 0.964 0.000 0.036
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 1 0.1289 0.8851 0.968 0.000 0.032
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 2 0.8138 0.8128 0.232 0.636 0.132
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 3 0.0237 0.7649 0.000 0.004 0.996
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 3 0.7640 0.7035 0.056 0.352 0.592
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 1 0.2066 0.8686 0.940 0.000 0.060
#> 57E380FC-B6AB-466F-9936-D52192888008 1 0.8803 0.1179 0.544 0.136 0.320
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 3 0.0000 0.7640 0.000 0.000 1.000
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 1 0.1411 0.8837 0.964 0.000 0.036
#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 3 0.7657 0.6538 0.208 0.116 0.676
#> 1D4F0B66-720D-484D-B8D5-2B290ED208A8 3 0.7267 0.7325 0.064 0.268 0.668
#> C886CA33-5080-4E3E-88A2-F9A3CF03A857 3 0.8726 0.6611 0.196 0.212 0.592
#> 9AC963E4-F82D-460E-9CAD-C651B879780A 3 0.7584 -0.3411 0.040 0.472 0.488
#> 1B6CF403-D0AE-4FFE-A884-660A58F32660 3 0.6854 0.7444 0.068 0.216 0.716
#> B33316E1-11FD-4C10-956A-C9C6F78508C5 1 0.1964 0.8691 0.944 0.000 0.056
#> BB02EF6A-C57D-4A79-99C1-ED43A72FFAF7 2 0.7437 0.8256 0.200 0.692 0.108
#> 4DBA59AD-9393-4BE6-88CB-852C62C4A334 3 0.7640 0.7035 0.056 0.352 0.592
#> 7887EDC4-A0D7-4E57-B3A1-330A5683457D 3 0.0000 0.7640 0.000 0.000 1.000
#> 2CD3AC14-46FB-4260-AE5C-4305C68D49BC 3 0.0237 0.7624 0.000 0.004 0.996
#> BAB8FA79-208A-488D-B955-806263E5D6BB 3 0.0000 0.7640 0.000 0.000 1.000
#> 98C990E7-7E3B-4200-A88D-E641931302EA 1 0.0592 0.8875 0.988 0.000 0.012
#> 894EE382-5ACA-4DEB-9267-99ADBEF6DA19 3 0.0000 0.7640 0.000 0.000 1.000
#> 98795F95-D26D-438A-AF46-B3BC3553F020 3 0.8137 0.6990 0.092 0.316 0.592
#> 9AD4C328-1554-4C92-931C-30CE8F305FDE 1 0.1015 0.8808 0.980 0.012 0.008
#> 4D1518D9-D968-4E7F-A702-5157A1A2E83E 1 0.0592 0.8830 0.988 0.012 0.000
#> A6E8AF8C-5D7B-4197-990B-786A869ACB96 1 0.1411 0.8837 0.964 0.000 0.036
#> DF8B4E19-8C78-4A68-8FAE-DFF01076BC97 2 0.7076 0.7073 0.256 0.684 0.060
#> 8D2C608F-3280-4CA2-B996-9AE3DBDBBD28 3 0.7787 0.7016 0.064 0.348 0.588
#> E7BCBD8D-1219-4A99-948A-47A258A5CD8B 3 0.0000 0.7640 0.000 0.000 1.000
#> 2C9633A5-8ACB-4D16-8120-F098BA14BB04 2 0.7437 0.8256 0.200 0.692 0.108
#> 985D9304-E4DA-4038-B235-067CBFEAC902 2 0.7437 0.8256 0.200 0.692 0.108
#> D34CE243-6F4F-4158-9FC4-77E1640E8A91 2 0.7437 0.8256 0.200 0.692 0.108
#> 65131575-48D3-42C2-B411-3DB871EF5EE1 3 0.0000 0.7640 0.000 0.000 1.000
#> 1AE13DFA-670C-43EE-9898-8FA831AEDDB3 3 0.8172 0.7082 0.112 0.272 0.616
#> 3ACDCD29-1B8D-455D-9EE9-D6C903B16D09 3 0.0424 0.7633 0.008 0.000 0.992
#> C6FBC35B-0113-4F00-BE1A-831D2C551055 3 0.2625 0.7604 0.084 0.000 0.916
#> A8F3285D-A85E-4E73-9D20-9D14AA51916B 3 0.7640 0.7035 0.056 0.352 0.592
#> 51601A73-2D75-4056-AEBB-8FF8DB813450 3 0.7705 0.7035 0.060 0.348 0.592
#> 75021778-A96B-4F57-8C26-68E8F33D7EB7 3 0.0000 0.7640 0.000 0.000 1.000
#> 71FFB439-22A1-4EBB-AEA6-A6BCA8CA6648 3 0.7768 0.7032 0.064 0.344 0.592
#> BEDB0135-0A26-44EF-9028-C4907403B110 3 0.7694 0.7135 0.068 0.316 0.616
#> 3B8BA56B-0E7B-4754-8729-8D613D0484E1 1 0.1411 0.8837 0.964 0.000 0.036
#> 100BF963-6103-45E6-A760-E44649580CF5 3 0.0000 0.7640 0.000 0.000 1.000
#> C26F21EA-5911-483F-BF64-03904BF93A20 3 0.6337 0.5719 0.264 0.028 0.708
#> 9E50162D-8149-41D2-86C1-1C892EB98DFA 3 0.0000 0.7640 0.000 0.000 1.000
#> 09521B29-B002-4AAD-93F1-6E600DD31515 2 0.7525 0.8258 0.208 0.684 0.108
#> 45FD44A6-7976-4453-BD3F-99D21DA3ECC2 1 0.0000 0.8859 1.000 0.000 0.000
#> 9EE0976F-1422-4F65-8837-93A192984CDF 3 0.8181 0.6980 0.096 0.312 0.592
#> 2FBAA1AA-39F7-4C58-A7DA-76B1F4B26B2E 2 0.7651 0.8115 0.220 0.672 0.108
#> B7A695A4-0B74-41E9-8662-4010C8CA38F0 3 0.0000 0.7640 0.000 0.000 1.000
#> E9013476-D037-41EA-921E-E9E62E93B75C 1 0.0424 0.8877 0.992 0.000 0.008
#> 13FD88E9-3B06-4CB6-949F-395DDDE4B75B 3 0.0237 0.7624 0.000 0.004 0.996
#> 9103E60E-D1FC-4F0F-B2CD-751921E14EBA 3 0.7640 0.7035 0.056 0.352 0.592
#> 4AEFB9F1-A55D-472E-A963-5BB3364D9D8C 2 0.8138 0.8104 0.232 0.636 0.132
#> 05B80211-2230-436E-BA34-FD48337A5DE0 2 0.7915 0.8124 0.248 0.644 0.108
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#> 9911D83E-6DDF-4048-9A34-22BFA1D68BBD 3 0.7640 0.7035 0.056 0.352 0.592
#> 4BAC0A03-BB88-4D19-86F9-FF093330C9B3 3 0.5851 0.7578 0.068 0.140 0.792
#> 18F63ADA-1828-43DD-AE1F-F36706C204CD 3 0.8137 0.6990 0.092 0.316 0.592
#> 66729295-C0AA-42C7-92C9-05194EF02276 3 0.7613 0.7150 0.064 0.316 0.620
#> 4CCA3104-B557-403D-AC06-A6D4936DDC04 3 0.7640 0.7035 0.056 0.352 0.592
#> 77D4165E-7CB1-4D69-AFE5-C8D914531651 3 0.6819 -0.2910 0.012 0.476 0.512
#> BA12A05A-622A-424D-8108-3F5916405EB0 3 0.8043 0.7024 0.084 0.324 0.592
#> DED4EA4D-9DC2-4419-83EC-2BFE75DC1830 2 0.7437 0.8256 0.200 0.692 0.108
#> 13A35364-57C5-4F5A-B077-3BA2689BFDD3 3 0.5363 0.5779 0.276 0.000 0.724
#> 2641B816-1D21-496E-85AD-1C690C9146A6 3 0.7640 0.7035 0.056 0.352 0.592
#> 96E2AD09-7287-4B91-840E-81444A61D56F 2 0.9120 0.5447 0.256 0.544 0.200
#> 62F3327F-FB16-4AD0-BCF5-B180F28281A9 2 0.8273 0.4405 0.076 0.476 0.448
#> 112F7032-0212-4939-9449-D67E3600CCD5 2 0.6490 0.7239 0.256 0.708 0.036
#> A3B4DE21-DDF0-4468-A300-7BECBAFD0BCD 3 0.0892 0.7661 0.020 0.000 0.980
#> 0A03E593-6931-419C-AE47-51D75185C2C0 3 0.8408 0.6032 0.244 0.144 0.612
#> 2416A3DC-A563-4FD1-A139-0E6EF7185211 2 0.7769 0.8210 0.232 0.660 0.108
#> 18B29573-822C-405F-B793-DBC8924866CE 2 0.7437 0.8256 0.200 0.692 0.108
#> 994EC227-B239-4CEE-AC96-EB5CC0AF583E 3 0.6079 0.4735 0.388 0.000 0.612
#> 950933A3-5757-4914-9DC5-C220C2A455FD 3 0.7640 0.7035 0.056 0.352 0.592
#> DBDFE95C-F941-407A-BE7D-D43D50143C4D 2 0.8405 0.7991 0.264 0.604 0.132
#> D024393C-29D0-41C4-AB86-7E94581FDD26 3 0.0000 0.7640 0.000 0.000 1.000
#> 4975AB35-93E5-400D-A429-CEA81BA89FFE 3 0.4796 0.6540 0.220 0.000 0.780
#> 666ADCA2-1AE4-4843-B1C8-8EE29C44AE74 3 0.4452 0.6702 0.192 0.000 0.808
#> A8F79C08-3943-4707-ADCB-890A955B5394 2 0.7437 0.8256 0.200 0.692 0.108
#> A81614ED-14CB-4EBC-988E-F67FBCBF62D8 2 0.8079 0.7923 0.268 0.624 0.108
#> E27E65C8-5B57-4C91-9D20-C075AEA2F2C5 1 0.0000 0.8859 1.000 0.000 0.000
#> 745F18CA-080D-42FE-BAA6-89AD7E3D3408 3 0.3267 0.7051 0.000 0.116 0.884
#> E755A625-799D-4A39-9D56-080228E0B669 2 0.8600 0.7873 0.284 0.580 0.136
#> 3D94EFB8-94D4-4FDE-97D8-18A159279996 2 0.9824 0.1613 0.256 0.416 0.328
#> 3D305C2E-6C86-4684-AA2A-155291AB4CC3 1 0.1860 0.8748 0.948 0.000 0.052
#> E140052A-5434-4C44-9873-0318D1D272CA 2 0.7437 0.8256 0.200 0.692 0.108
#> 68E56692-D46D-4A27-86CD-717E10AADDDA 3 0.7640 0.7035 0.056 0.352 0.592
#> 00A0586E-5F05-47B3-925C-87E811B0893B 3 0.7640 0.7035 0.056 0.352 0.592
#> E2B019A7-7C95-40FE-800C-D30E9730825C 3 0.4485 0.7528 0.136 0.020 0.844
#> 1B9ABB69-5CC6-4B6B-ABBC-71CC3274C7F0 3 0.4974 0.6372 0.236 0.000 0.764
#> FAE396AA-3C3C-4AF9-953D-385C41B2DB5B 3 0.0000 0.7640 0.000 0.000 1.000
#> 6BE4397D-1E5B-4486-83B4-EE0EC146C805 2 0.7437 0.8256 0.200 0.692 0.108
#> EE38BD4E-5A08-4639-912F-04203F53762F 1 0.2711 0.8305 0.912 0.000 0.088
#> 4050E7F8-80B6-46F2-8FF0-D4EC313E975B 3 0.8318 0.6230 0.260 0.128 0.612
#> F3565161-FFBE-4138-9773-558DB386710C 1 0.1411 0.8837 0.964 0.000 0.036
#> BA9ABEB1-D3F0-4F09-A647-25211C47C3D0 2 0.7437 0.8256 0.200 0.692 0.108
#> 9E41E79A-4028-4F60-8250-411F191B665C 1 0.0592 0.8830 0.988 0.012 0.000
#> 5F1D3EFD-ECDA-4C92-8D81-491484F09C95 3 0.7911 0.7165 0.096 0.272 0.632
#> 0DBA04CB-417D-4E2B-BE83-3563F45291C4 1 0.2383 0.8485 0.940 0.016 0.044
#> B9B882A5-194B-4F5C-B702-0CF71CA6D9D2 3 0.5492 0.6790 0.104 0.080 0.816
#> 67FE7638-B8F5-4631-B178-AC23B0382983 1 0.1411 0.8837 0.964 0.000 0.036
#> FE03FC2C-9A4E-4F89-8681-E33DFECCC692 2 0.8625 0.7842 0.288 0.576 0.136
#> 2B22B4B7-8A39-435C-BE3B-86FA84C8F941 3 0.8478 0.6668 0.152 0.240 0.608
#> 00844B35-C108-4AEC-A687-4A91A2F33E6D 1 0.1411 0.8837 0.964 0.000 0.036
#> C221EE7A-6343-4B6D-B322-0A2C0F0B29AF 1 0.1411 0.8837 0.964 0.000 0.036
#> B28A6D56-7654-4829-BF1F-657C3C2C10D8 1 0.0237 0.8872 0.996 0.000 0.004
#> F4C7BCEC-3CD4-4D9A-89EA-0ED58EA0DCFE 1 0.3816 0.7786 0.852 0.000 0.148
#> F06FBFAB-D143-47AE-BEE7-51B48164764F 1 0.4733 0.5752 0.800 0.196 0.004
#> 525F522B-E865-4479-AE65-510903ABF46F 3 0.9550 0.2283 0.192 0.404 0.404
#> F0CB60E3-C412-46A2-918F-8C5C099AB224 3 0.0000 0.7640 0.000 0.000 1.000
#> 587F307F-6E1B-487E-8E47-A99AB43DC5B4 3 0.7640 0.7035 0.056 0.352 0.592
#> 883D9145-8414-4571-A3E1-516F03452C46 3 0.5254 0.5904 0.264 0.000 0.736
#> 4A917271-7EA0-4F43-B474-7F5EA756EB05 1 0.0592 0.8830 0.988 0.012 0.000
#> BB33015D-218C-4A1E-8839-95837D6E9B88 3 0.5138 0.5998 0.252 0.000 0.748
#> 021CC81F-710D-4EEA-B1D8-012A81715ACC 3 0.2878 0.7382 0.096 0.000 0.904
#> B00C4925-47E3-4442-ABEB-82D714A26587 3 0.0000 0.7640 0.000 0.000 1.000
#> F79B27D3-0426-47BB-9756-7E0759246E5E 2 0.6375 0.7331 0.244 0.720 0.036
#> 1F179559-D93E-491C-B499-64F86C31DAE0 3 0.7188 0.7290 0.056 0.280 0.664
#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 3 0.4280 0.7645 0.020 0.124 0.856
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 1 0.0000 0.8859 1.000 0.000 0.000
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 1 0.5585 0.6224 0.772 0.024 0.204
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 2 0.7437 0.8256 0.200 0.692 0.108
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 3 0.4235 0.6574 0.176 0.000 0.824
#> ED9794C0-AC60-4B54-8214-D26714871BBF 1 0.0000 0.8859 1.000 0.000 0.000
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 3 0.1753 0.7634 0.000 0.048 0.952
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 2 0.7437 0.8256 0.200 0.692 0.108
#> 18D816AF-394A-482F-B22E-896A43B1E481 2 0.7437 0.8256 0.200 0.692 0.108
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 3 0.0000 0.7640 0.000 0.000 1.000
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 3 0.7640 0.7035 0.056 0.352 0.592
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 2 0.8752 0.6862 0.144 0.564 0.292
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 3 0.7640 0.7035 0.056 0.352 0.592
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 3 0.0000 0.7640 0.000 0.000 1.000
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 3 0.3030 0.7292 0.004 0.092 0.904
#> 7E809698-2473-4EFE-B896-1637983EC596 3 0.3028 0.7536 0.032 0.048 0.920
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 3 0.7640 0.7035 0.056 0.352 0.592
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 3 0.7640 0.7035 0.056 0.352 0.592
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 2 0.6662 0.7471 0.252 0.704 0.044
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.0592 0.8875 0.988 0.000 0.012
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.0592 0.8830 0.988 0.012 0.000
#> 73F28A79-7D35-4FE9-849D-FFE681483928 3 0.0000 0.7640 0.000 0.000 1.000
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 1 0.5529 0.4792 0.704 0.000 0.296
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 3 0.7640 0.7035 0.056 0.352 0.592
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 1 0.0000 0.8859 1.000 0.000 0.000
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.6141 0.7463 0.232 0.736 0.032
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.1031 0.8870 0.976 0.000 0.024
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 3 0.0000 0.7640 0.000 0.000 1.000
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 1 0.1529 0.8819 0.960 0.000 0.040
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 3 0.6490 0.5583 0.360 0.012 0.628
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.7640 0.7035 0.056 0.352 0.592
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.0592 0.8830 0.988 0.012 0.000
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.7651 0.8115 0.220 0.672 0.108
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 3 0.0000 0.7640 0.000 0.000 1.000
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.7769 0.8210 0.232 0.660 0.108
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 3 0.8577 0.1877 0.108 0.356 0.536
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 3 0.1753 0.7559 0.000 0.048 0.952
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 3 0.4178 0.6991 0.172 0.000 0.828
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 3 0.0000 0.7640 0.000 0.000 1.000
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.0592 0.8830 0.988 0.012 0.000
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.7640 0.7035 0.056 0.352 0.592
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.0000 0.8859 1.000 0.000 0.000
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.0592 0.8830 0.988 0.012 0.000
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.0000 0.8859 1.000 0.000 0.000
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.7437 0.8256 0.200 0.692 0.108
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 3 0.2663 0.7714 0.044 0.024 0.932
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.5016 0.6776 0.760 0.000 0.240
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 3 0.5098 0.6074 0.248 0.000 0.752
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.0592 0.8875 0.988 0.000 0.012
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 3 0.0000 0.7640 0.000 0.000 1.000
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 3 0.1411 0.7613 0.000 0.036 0.964
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 3 0.0000 0.7640 0.000 0.000 1.000
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 3 0.0424 0.7656 0.000 0.008 0.992
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 3 0.7940 0.7021 0.076 0.332 0.592
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 3 0.5070 0.7509 0.004 0.224 0.772
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.0000 0.8859 1.000 0.000 0.000
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.0000 0.8859 1.000 0.000 0.000
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 3 0.0592 0.7657 0.000 0.012 0.988
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.6375 0.7331 0.244 0.720 0.036
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.7835 0.8205 0.232 0.656 0.112
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 3 0.5219 0.7559 0.016 0.196 0.788
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.8159 0.6968 0.092 0.320 0.588
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.7880 0.7866 0.244 0.648 0.108
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 3 0.1643 0.7600 0.000 0.044 0.956
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 3 0.0000 0.7640 0.000 0.000 1.000
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 2 0.9560 0.3757 0.256 0.484 0.260
#> CA356591-D24F-41A8-8C9A-1178C7781510 3 0.5956 0.7562 0.044 0.188 0.768
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.7640 0.7035 0.056 0.352 0.592
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.1411 0.8837 0.964 0.000 0.036
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 4 0.4730 0.5228 0.000 0.000 0.364 0.636
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.4855 0.2718 0.000 0.400 0.600 0.000
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 4 0.3837 0.6880 0.000 0.000 0.224 0.776
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.0000 0.9040 0.000 1.000 0.000 0.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 4 0.3726 0.6961 0.000 0.000 0.212 0.788
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 1 0.4972 0.1239 0.544 0.456 0.000 0.000
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 4 0.4222 0.6555 0.000 0.000 0.272 0.728
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 4 0.3610 0.7011 0.000 0.000 0.200 0.800
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.0000 0.9040 0.000 1.000 0.000 0.000
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.0000 0.9040 0.000 1.000 0.000 0.000
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.4382 0.5535 0.296 0.704 0.000 0.000
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.3837 0.7419 0.000 0.000 0.776 0.224
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.0000 0.8971 1.000 0.000 0.000 0.000
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.0000 0.9040 0.000 1.000 0.000 0.000
#> ECB2DF14-CF68-44D4-8719-973AE448B992 4 0.3569 0.6365 0.196 0.000 0.000 0.804
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 4 0.3444 0.7090 0.000 0.000 0.184 0.816
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 3 0.5292 0.7163 0.064 0.000 0.728 0.208
#> 3282F146-2782-4877-9EFE-6020AC277A8C 4 0.3764 0.6931 0.000 0.000 0.216 0.784
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 4 0.0336 0.7378 0.000 0.000 0.008 0.992
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 4 0.6233 0.6120 0.124 0.216 0.000 0.660
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.0000 0.9040 0.000 1.000 0.000 0.000
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 4 0.1716 0.7252 0.064 0.000 0.000 0.936
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.0000 0.9040 0.000 1.000 0.000 0.000
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 1 0.0817 0.8862 0.976 0.000 0.000 0.024
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 4 0.1792 0.7127 0.000 0.000 0.068 0.932
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 4 0.0188 0.7373 0.000 0.000 0.004 0.996
#> C945DDA9-0194-46F4-89E2-13883284D5A4 3 0.4500 0.3479 0.000 0.000 0.684 0.316
#> 79B11925-9772-474F-A729-D00315959710 1 0.0000 0.8971 1.000 0.000 0.000 0.000
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 4 0.4843 0.3411 0.000 0.396 0.000 0.604
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 1 0.0000 0.8971 1.000 0.000 0.000 0.000
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 4 0.2408 0.7223 0.044 0.000 0.036 0.920
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.0336 0.8938 0.992 0.000 0.000 0.008
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 4 0.4843 0.4208 0.000 0.396 0.000 0.604
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 1 0.1211 0.8627 0.960 0.000 0.040 0.000
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.4790 0.5779 0.000 0.000 0.620 0.380
#> 26796E5F-C0C2-466C-9012-882F6D29C149 4 0.3801 0.6907 0.000 0.000 0.220 0.780
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 0.0000 0.8971 1.000 0.000 0.000 0.000
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#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 4 0.3688 0.6977 0.000 0.000 0.208 0.792
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 2 0.0000 0.9040 0.000 1.000 0.000 0.000
#> 18D816AF-394A-482F-B22E-896A43B1E481 2 0.0000 0.9040 0.000 1.000 0.000 0.000
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 4 0.2892 0.7359 0.068 0.000 0.036 0.896
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 3 0.0000 0.7658 0.000 0.000 1.000 0.000
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 2 0.3219 0.7606 0.000 0.836 0.000 0.164
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 3 0.4222 0.7071 0.000 0.000 0.728 0.272
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 4 0.0188 0.7374 0.000 0.000 0.004 0.996
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 4 0.3933 0.6521 0.000 0.200 0.008 0.792
#> 7E809698-2473-4EFE-B896-1637983EC596 4 0.3933 0.6521 0.000 0.200 0.008 0.792
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 3 0.2647 0.7734 0.000 0.000 0.880 0.120
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 3 0.3569 0.7518 0.000 0.000 0.804 0.196
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 2 0.0336 0.8992 0.000 0.992 0.008 0.000
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.0000 0.8971 1.000 0.000 0.000 0.000
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.0000 0.8971 1.000 0.000 0.000 0.000
#> 73F28A79-7D35-4FE9-849D-FFE681483928 4 0.1940 0.7199 0.076 0.000 0.000 0.924
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 1 0.3649 0.7525 0.796 0.000 0.000 0.204
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 3 0.0000 0.7658 0.000 0.000 1.000 0.000
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 1 0.0000 0.8971 1.000 0.000 0.000 0.000
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.0000 0.9040 0.000 1.000 0.000 0.000
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.0000 0.8971 1.000 0.000 0.000 0.000
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 4 0.1792 0.7234 0.068 0.000 0.000 0.932
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 1 0.1022 0.8815 0.968 0.000 0.000 0.032
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 4 0.5088 0.5040 0.288 0.000 0.024 0.688
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.2868 0.7726 0.000 0.000 0.864 0.136
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.0000 0.8971 1.000 0.000 0.000 0.000
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.0000 0.9040 0.000 1.000 0.000 0.000
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 4 0.0469 0.7383 0.000 0.000 0.012 0.988
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.0000 0.9040 0.000 1.000 0.000 0.000
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 4 0.4360 0.6093 0.000 0.248 0.008 0.744
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 4 0.4098 0.6958 0.000 0.012 0.204 0.784
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 4 0.1724 0.7403 0.032 0.000 0.020 0.948
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 4 0.3873 0.6851 0.000 0.000 0.228 0.772
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.0000 0.8971 1.000 0.000 0.000 0.000
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.3610 0.7498 0.000 0.000 0.800 0.200
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.0000 0.8971 1.000 0.000 0.000 0.000
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.0000 0.8971 1.000 0.000 0.000 0.000
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.0000 0.8971 1.000 0.000 0.000 0.000
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.0000 0.9040 0.000 1.000 0.000 0.000
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 4 0.4509 0.3685 0.004 0.000 0.288 0.708
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.3688 0.7496 0.792 0.000 0.000 0.208
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 4 0.1637 0.7266 0.060 0.000 0.000 0.940
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.0000 0.8971 1.000 0.000 0.000 0.000
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 4 0.2814 0.7264 0.000 0.000 0.132 0.868
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 4 0.3972 0.6973 0.000 0.008 0.204 0.788
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 4 0.0000 0.7367 0.000 0.000 0.000 1.000
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 4 0.4103 0.6625 0.000 0.000 0.256 0.744
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 3 0.0592 0.7627 0.000 0.000 0.984 0.016
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 3 0.4817 0.0676 0.000 0.000 0.612 0.388
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.0000 0.8971 1.000 0.000 0.000 0.000
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.0000 0.8971 1.000 0.000 0.000 0.000
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 4 0.1022 0.7288 0.000 0.000 0.032 0.968
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.4103 0.6130 0.000 0.744 0.256 0.000
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.0000 0.9040 0.000 1.000 0.000 0.000
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 4 0.4830 0.5071 0.000 0.000 0.392 0.608
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.2973 0.6895 0.000 0.000 0.856 0.144
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.0000 0.9040 0.000 1.000 0.000 0.000
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 4 0.3831 0.6987 0.000 0.004 0.204 0.792
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 4 0.4103 0.6624 0.000 0.000 0.256 0.744
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.5769 0.4985 0.000 0.292 0.652 0.056
#> CA356591-D24F-41A8-8C9A-1178C7781510 4 0.4661 0.5852 0.000 0.000 0.348 0.652
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.3649 0.7493 0.000 0.000 0.796 0.204
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.0000 0.8971 1.000 0.000 0.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 4 0.3816 6.60e-01 0.000 0.000 0.304 0.696 0.000
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.6314 3.21e-01 0.000 0.380 0.504 0.020 0.096
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 4 0.3177 7.58e-01 0.000 0.000 0.208 0.792 0.000
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.0000 8.72e-01 0.000 1.000 0.000 0.000 0.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 4 0.4900 3.49e-01 0.000 0.000 0.464 0.512 0.024
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 1 0.4415 3.60e-01 0.604 0.388 0.000 0.000 0.008
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 3 0.4305 -7.47e-02 0.000 0.000 0.512 0.488 0.000
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 4 0.2773 7.88e-01 0.000 0.000 0.164 0.836 0.000
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.0404 8.69e-01 0.000 0.988 0.000 0.012 0.000
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.0000 8.72e-01 0.000 1.000 0.000 0.000 0.000
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.3980 5.51e-01 0.284 0.708 0.000 0.000 0.008
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.3203 6.96e-01 0.000 0.000 0.820 0.012 0.168
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.0609 8.77e-01 0.980 0.000 0.000 0.000 0.020
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.0290 8.70e-01 0.000 0.992 0.000 0.008 0.000
#> ECB2DF14-CF68-44D4-8719-973AE448B992 5 0.3209 8.33e-01 0.068 0.000 0.008 0.060 0.864
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 4 0.2516 7.92e-01 0.000 0.000 0.140 0.860 0.000
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 3 0.4536 6.41e-01 0.048 0.000 0.712 0.000 0.240
#> 3282F146-2782-4877-9EFE-6020AC277A8C 4 0.2813 7.82e-01 0.000 0.000 0.168 0.832 0.000
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 4 0.3745 5.87e-01 0.000 0.000 0.024 0.780 0.196
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 2 0.9403 1.16e-01 0.116 0.356 0.148 0.248 0.132
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.1331 8.56e-01 0.000 0.952 0.000 0.008 0.040
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 5 0.5120 6.76e-01 0.000 0.000 0.164 0.140 0.696
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.0000 8.72e-01 0.000 1.000 0.000 0.000 0.000
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 1 0.2074 8.34e-01 0.896 0.000 0.000 0.000 0.104
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 3 0.6009 4.24e-01 0.000 0.000 0.544 0.136 0.320
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 4 0.2824 7.04e-01 0.000 0.000 0.020 0.864 0.116
#> C945DDA9-0194-46F4-89E2-13883284D5A4 3 0.2249 6.86e-01 0.000 0.000 0.896 0.096 0.008
#> 79B11925-9772-474F-A729-D00315959710 1 0.0000 8.80e-01 1.000 0.000 0.000 0.000 0.000
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 4 0.1478 7.73e-01 0.000 0.064 0.000 0.936 0.000
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 1 0.0510 8.78e-01 0.984 0.000 0.000 0.000 0.016
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 5 0.6035 2.94e-01 0.000 0.000 0.328 0.136 0.536
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.1043 8.68e-01 0.960 0.000 0.000 0.000 0.040
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 4 0.4227 1.94e-01 0.000 0.420 0.000 0.580 0.000
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 1 0.0880 8.76e-01 0.968 0.000 0.000 0.000 0.032
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.3970 6.47e-01 0.000 0.000 0.744 0.020 0.236
#> 26796E5F-C0C2-466C-9012-882F6D29C149 4 0.2020 8.00e-01 0.000 0.000 0.100 0.900 0.000
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 0.0510 8.78e-01 0.984 0.000 0.000 0.000 0.016
#> 1492D21A-6458-4B49-B530-7A327FCDD031 5 0.2795 8.12e-01 0.100 0.000 0.000 0.028 0.872
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 5 0.3399 8.09e-01 0.000 0.000 0.020 0.168 0.812
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 4 0.3536 7.49e-01 0.000 0.000 0.084 0.832 0.084
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.1671 8.34e-01 0.924 0.000 0.000 0.000 0.076
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 5 0.5627 6.44e-01 0.060 0.000 0.180 0.064 0.696
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.0290 8.70e-01 0.000 0.992 0.000 0.008 0.000
#> E846120D-D9E6-46F8-9647-2272AB064072 1 0.0609 8.77e-01 0.980 0.000 0.000 0.000 0.020
#> 36880C8C-91A9-49A9-A2D5-957161737F31 2 0.0162 8.71e-01 0.000 0.996 0.000 0.000 0.004
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.0000 8.72e-01 0.000 1.000 0.000 0.000 0.000
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 2 0.0000 8.72e-01 0.000 1.000 0.000 0.000 0.000
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 1 0.0510 8.78e-01 0.984 0.000 0.000 0.000 0.016
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 5 0.2920 8.29e-01 0.000 0.000 0.016 0.132 0.852
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 2 0.0000 8.72e-01 0.000 1.000 0.000 0.000 0.000
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 3 0.0703 7.05e-01 0.000 0.000 0.976 0.024 0.000
#> 116F3F29-AB89-4F00-9003-559041E285EB 3 0.3730 5.23e-01 0.000 0.000 0.712 0.288 0.000
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.1638 8.30e-01 0.064 0.932 0.000 0.000 0.004
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 3 0.6661 1.78e-01 0.064 0.000 0.476 0.064 0.396
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 4 0.2280 7.98e-01 0.000 0.000 0.120 0.880 0.000
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 5 0.4626 5.38e-01 0.000 0.000 0.020 0.364 0.616
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 1 0.0404 8.79e-01 0.988 0.000 0.000 0.000 0.012
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 4 0.1197 7.80e-01 0.000 0.048 0.000 0.952 0.000
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 3 0.6843 5.28e-01 0.000 0.060 0.540 0.292 0.108
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.0000 8.80e-01 1.000 0.000 0.000 0.000 0.000
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 3 0.3163 6.98e-01 0.000 0.000 0.824 0.012 0.164
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.0000 8.72e-01 0.000 1.000 0.000 0.000 0.000
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 3 0.5080 5.22e-01 0.000 0.000 0.628 0.056 0.316
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 1 0.4084 5.37e-01 0.668 0.000 0.000 0.004 0.328
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 4 0.1608 8.01e-01 0.000 0.000 0.072 0.928 0.000
#> CD576099-5450-4232-9B59-08341BED8FFA 4 0.3152 6.85e-01 0.000 0.000 0.024 0.840 0.136
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 4 0.0510 7.93e-01 0.000 0.000 0.016 0.984 0.000
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 1 0.0162 8.80e-01 0.996 0.000 0.000 0.000 0.004
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 1 0.0000 8.80e-01 1.000 0.000 0.000 0.000 0.000
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 2 0.4126 4.10e-01 0.000 0.620 0.000 0.380 0.000
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 4 0.2929 7.77e-01 0.000 0.000 0.180 0.820 0.000
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 3 0.0703 7.05e-01 0.000 0.000 0.976 0.024 0.000
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 1 0.0000 8.80e-01 1.000 0.000 0.000 0.000 0.000
#> 57E380FC-B6AB-466F-9936-D52192888008 1 0.4366 5.01e-01 0.664 0.000 0.000 0.016 0.320
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 4 0.4114 5.65e-01 0.000 0.000 0.376 0.624 0.000
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 1 0.0000 8.80e-01 1.000 0.000 0.000 0.000 0.000
#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 4 0.2329 7.25e-01 0.000 0.000 0.124 0.876 0.000
#> 1D4F0B66-720D-484D-B8D5-2B290ED208A8 3 0.2732 6.49e-01 0.000 0.000 0.840 0.160 0.000
#> C886CA33-5080-4E3E-88A2-F9A3CF03A857 3 0.3317 6.93e-01 0.004 0.000 0.804 0.004 0.188
#> 9AC963E4-F82D-460E-9CAD-C651B879780A 4 0.1197 7.80e-01 0.000 0.048 0.000 0.952 0.000
#> 1B6CF403-D0AE-4FFE-A884-660A58F32660 3 0.3636 5.42e-01 0.000 0.000 0.728 0.272 0.000
#> B33316E1-11FD-4C10-956A-C9C6F78508C5 1 0.3612 6.20e-01 0.732 0.000 0.000 0.000 0.268
#> BB02EF6A-C57D-4A79-99C1-ED43A72FFAF7 2 0.2230 7.94e-01 0.000 0.884 0.000 0.116 0.000
#> 4DBA59AD-9393-4BE6-88CB-852C62C4A334 3 0.0703 7.05e-01 0.000 0.000 0.976 0.024 0.000
#> 7887EDC4-A0D7-4E57-B3A1-330A5683457D 5 0.3031 8.32e-01 0.004 0.000 0.016 0.128 0.852
#> 2CD3AC14-46FB-4260-AE5C-4305C68D49BC 4 0.0510 7.88e-01 0.000 0.000 0.016 0.984 0.000
#> BAB8FA79-208A-488D-B955-806263E5D6BB 4 0.2891 7.78e-01 0.000 0.000 0.176 0.824 0.000
#> 98C990E7-7E3B-4200-A88D-E641931302EA 1 0.0000 8.80e-01 1.000 0.000 0.000 0.000 0.000
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#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.1788 8.44e-01 0.000 0.932 0.004 0.008 0.056
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.0000 8.80e-01 1.000 0.000 0.000 0.000 0.000
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 5 0.2770 8.31e-01 0.004 0.000 0.008 0.124 0.864
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 1 0.1851 8.36e-01 0.912 0.000 0.000 0.000 0.088
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 3 0.6962 3.14e-01 0.188 0.000 0.476 0.024 0.312
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.3055 7.12e-01 0.000 0.000 0.840 0.016 0.144
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.0000 8.80e-01 1.000 0.000 0.000 0.000 0.000
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.0000 8.72e-01 0.000 1.000 0.000 0.000 0.000
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 4 0.4733 2.28e-01 0.000 0.000 0.028 0.624 0.348
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.0000 8.72e-01 0.000 1.000 0.000 0.000 0.000
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 4 0.1197 7.80e-01 0.000 0.048 0.000 0.952 0.000
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 4 0.2280 7.98e-01 0.000 0.000 0.120 0.880 0.000
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 5 0.5264 6.77e-01 0.000 0.000 0.128 0.196 0.676
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 4 0.2891 7.78e-01 0.000 0.000 0.176 0.824 0.000
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.0000 8.80e-01 1.000 0.000 0.000 0.000 0.000
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.3086 6.95e-01 0.000 0.000 0.816 0.004 0.180
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.0609 8.77e-01 0.980 0.000 0.000 0.000 0.020
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.0290 8.78e-01 0.992 0.000 0.000 0.000 0.008
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.0510 8.78e-01 0.984 0.000 0.000 0.000 0.016
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.0290 8.70e-01 0.000 0.992 0.000 0.008 0.000
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 5 0.6647 2.23e-03 0.048 0.000 0.408 0.080 0.464
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 5 0.4161 3.07e-01 0.392 0.000 0.000 0.000 0.608
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 5 0.2909 8.28e-01 0.000 0.000 0.012 0.140 0.848
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.0000 8.80e-01 1.000 0.000 0.000 0.000 0.000
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 4 0.3691 7.51e-01 0.000 0.000 0.104 0.820 0.076
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 4 0.0510 7.93e-01 0.000 0.000 0.016 0.984 0.000
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 5 0.3141 8.23e-01 0.000 0.000 0.016 0.152 0.832
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 4 0.3636 6.98e-01 0.000 0.000 0.272 0.728 0.000
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 3 0.0865 7.05e-01 0.000 0.000 0.972 0.024 0.004
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 3 0.2280 6.69e-01 0.000 0.000 0.880 0.120 0.000
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.0510 8.78e-01 0.984 0.000 0.000 0.000 0.016
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.0510 8.78e-01 0.984 0.000 0.000 0.000 0.016
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 5 0.6108 1.85e-01 0.000 0.000 0.356 0.136 0.508
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.6223 2.89e-01 0.000 0.564 0.316 0.024 0.096
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.1205 8.53e-01 0.000 0.956 0.000 0.040 0.004
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 3 0.3741 5.51e-01 0.000 0.000 0.732 0.264 0.004
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.5613 5.50e-01 0.000 0.000 0.576 0.332 0.092
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.0290 8.69e-01 0.000 0.992 0.000 0.000 0.008
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 4 0.2020 8.00e-01 0.000 0.000 0.100 0.900 0.000
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 4 0.3395 7.35e-01 0.000 0.000 0.236 0.764 0.000
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.6139 5.79e-01 0.000 0.236 0.632 0.056 0.076
#> CA356591-D24F-41A8-8C9A-1178C7781510 3 0.4060 3.73e-01 0.000 0.000 0.640 0.360 0.000
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.3163 6.98e-01 0.000 0.000 0.824 0.012 0.164
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.0000 8.80e-01 1.000 0.000 0.000 0.000 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 4 0.3934 0.6789 0.000 0.000 0.260 0.708 0.000 0.032
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 6 0.5409 0.5522 0.000 0.352 0.100 0.008 0.000 0.540
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 4 0.3541 0.7060 0.000 0.000 0.232 0.748 0.000 0.020
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.0363 0.8924 0.000 0.988 0.000 0.000 0.000 0.012
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 4 0.5691 0.5436 0.000 0.000 0.332 0.548 0.088 0.032
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 1 0.5588 0.3322 0.516 0.376 0.000 0.000 0.020 0.088
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 4 0.4007 0.7000 0.000 0.000 0.220 0.728 0.000 0.052
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 4 0.3139 0.7376 0.000 0.000 0.160 0.812 0.000 0.028
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.1261 0.8728 0.000 0.952 0.000 0.024 0.000 0.024
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.0547 0.8898 0.000 0.980 0.000 0.000 0.000 0.020
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.5187 -0.0872 0.440 0.472 0.000 0.000 0.000 0.088
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.3757 0.7415 0.000 0.000 0.780 0.000 0.084 0.136
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.2747 0.7880 0.860 0.000 0.000 0.000 0.096 0.044
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.0891 0.8857 0.000 0.968 0.000 0.008 0.000 0.024
#> ECB2DF14-CF68-44D4-8719-973AE448B992 5 0.2356 0.7970 0.004 0.000 0.000 0.096 0.884 0.016
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 4 0.2973 0.7454 0.000 0.000 0.136 0.836 0.004 0.024
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 3 0.4133 0.6714 0.024 0.000 0.732 0.000 0.220 0.024
#> 3282F146-2782-4877-9EFE-6020AC277A8C 4 0.3088 0.7329 0.000 0.000 0.172 0.808 0.000 0.020
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 4 0.3918 0.6357 0.000 0.000 0.000 0.768 0.108 0.124
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 1 0.7924 -0.0147 0.344 0.052 0.004 0.304 0.232 0.064
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.2805 0.6862 0.000 0.812 0.000 0.004 0.000 0.184
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 5 0.3879 0.7960 0.032 0.000 0.004 0.116 0.804 0.044
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.0547 0.8891 0.000 0.980 0.000 0.000 0.000 0.020
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 1 0.3641 0.7680 0.748 0.000 0.000 0.000 0.224 0.028
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 3 0.7347 0.0785 0.000 0.000 0.360 0.180 0.320 0.140
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 4 0.2020 0.7208 0.000 0.000 0.000 0.896 0.096 0.008
#> C945DDA9-0194-46F4-89E2-13883284D5A4 3 0.4253 0.6972 0.000 0.000 0.756 0.100 0.012 0.132
#> 79B11925-9772-474F-A729-D00315959710 1 0.0000 0.8025 1.000 0.000 0.000 0.000 0.000 0.000
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 4 0.0458 0.7459 0.000 0.000 0.000 0.984 0.000 0.016
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 1 0.2383 0.7901 0.880 0.000 0.000 0.000 0.096 0.024
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 5 0.5504 0.7256 0.004 0.000 0.072 0.112 0.680 0.132
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.2520 0.7664 0.844 0.000 0.000 0.000 0.152 0.004
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 4 0.3351 0.5859 0.000 0.160 0.000 0.800 0.000 0.040
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 1 0.3312 0.7856 0.792 0.000 0.000 0.000 0.180 0.028
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.4343 0.7115 0.000 0.000 0.724 0.000 0.156 0.120
#> 26796E5F-C0C2-466C-9012-882F6D29C149 4 0.1921 0.7587 0.000 0.000 0.052 0.916 0.000 0.032
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 0.2383 0.7901 0.880 0.000 0.000 0.000 0.096 0.024
#> 1492D21A-6458-4B49-B530-7A327FCDD031 5 0.2384 0.7771 0.040 0.000 0.000 0.056 0.896 0.008
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 5 0.4580 0.7499 0.004 0.000 0.000 0.168 0.708 0.120
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 4 0.3717 0.7361 0.000 0.000 0.104 0.812 0.056 0.028
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.2841 0.7280 0.824 0.000 0.000 0.000 0.164 0.012
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 5 0.4446 0.7422 0.100 0.000 0.008 0.096 0.768 0.028
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.0891 0.8866 0.000 0.968 0.000 0.008 0.000 0.024
#> E846120D-D9E6-46F8-9647-2272AB064072 1 0.2383 0.7901 0.880 0.000 0.000 0.000 0.096 0.024
#> 36880C8C-91A9-49A9-A2D5-957161737F31 2 0.1141 0.8790 0.000 0.948 0.000 0.000 0.000 0.052
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.0363 0.8924 0.000 0.988 0.000 0.000 0.000 0.012
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 2 0.0603 0.8903 0.004 0.980 0.000 0.000 0.000 0.016
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 1 0.2432 0.7908 0.876 0.000 0.000 0.000 0.100 0.024
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 5 0.3782 0.7853 0.000 0.000 0.000 0.096 0.780 0.124
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 2 0.0458 0.8908 0.000 0.984 0.000 0.000 0.000 0.016
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 3 0.0790 0.7072 0.000 0.000 0.968 0.000 0.000 0.032
#> 116F3F29-AB89-4F00-9003-559041E285EB 4 0.5190 0.2586 0.000 0.000 0.448 0.464 0.000 0.088
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.3732 0.6444 0.144 0.780 0.000 0.000 0.000 0.076
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 3 0.7137 0.2445 0.016 0.000 0.444 0.096 0.316 0.128
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 4 0.2039 0.7572 0.000 0.000 0.076 0.904 0.000 0.020
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 5 0.5390 0.4939 0.000 0.000 0.000 0.340 0.532 0.128
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 1 0.2956 0.7846 0.848 0.000 0.000 0.000 0.064 0.088
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 4 0.0790 0.7461 0.000 0.000 0.000 0.968 0.000 0.032
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 6 0.6662 0.5587 0.000 0.028 0.132 0.300 0.036 0.504
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.0000 0.8025 1.000 0.000 0.000 0.000 0.000 0.000
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 3 0.3718 0.7416 0.000 0.000 0.784 0.000 0.084 0.132
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.0000 0.8946 0.000 1.000 0.000 0.000 0.000 0.000
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 3 0.6000 0.5513 0.000 0.000 0.576 0.048 0.244 0.132
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 1 0.4574 0.5205 0.524 0.000 0.000 0.000 0.440 0.036
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 4 0.1564 0.7575 0.000 0.000 0.040 0.936 0.000 0.024
#> CD576099-5450-4232-9B59-08341BED8FFA 4 0.2519 0.7233 0.000 0.000 0.004 0.884 0.068 0.044
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 4 0.0363 0.7499 0.000 0.000 0.000 0.988 0.000 0.012
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 1 0.0508 0.8042 0.984 0.000 0.000 0.000 0.012 0.004
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 1 0.0000 0.8025 1.000 0.000 0.000 0.000 0.000 0.000
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 4 0.4062 0.2505 0.000 0.316 0.000 0.660 0.000 0.024
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 4 0.3481 0.7219 0.000 0.000 0.192 0.776 0.000 0.032
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 3 0.0260 0.7134 0.000 0.000 0.992 0.000 0.000 0.008
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 1 0.0000 0.8025 1.000 0.000 0.000 0.000 0.000 0.000
#> 57E380FC-B6AB-466F-9936-D52192888008 1 0.4127 0.5117 0.620 0.004 0.000 0.000 0.364 0.012
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 4 0.4273 0.5543 0.000 0.000 0.380 0.596 0.000 0.024
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 1 0.0000 0.8025 1.000 0.000 0.000 0.000 0.000 0.000
#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 4 0.1082 0.7409 0.000 0.000 0.004 0.956 0.000 0.040
#> 1D4F0B66-720D-484D-B8D5-2B290ED208A8 3 0.4147 0.4923 0.000 0.000 0.716 0.224 0.000 0.060
#> C886CA33-5080-4E3E-88A2-F9A3CF03A857 3 0.3364 0.7000 0.000 0.000 0.780 0.000 0.196 0.024
#> 9AC963E4-F82D-460E-9CAD-C651B879780A 4 0.0363 0.7461 0.000 0.000 0.000 0.988 0.000 0.012
#> 1B6CF403-D0AE-4FFE-A884-660A58F32660 3 0.4763 0.2204 0.000 0.000 0.592 0.344 0.000 0.064
#> B33316E1-11FD-4C10-956A-C9C6F78508C5 1 0.4101 0.5273 0.632 0.000 0.000 0.008 0.352 0.008
#> BB02EF6A-C57D-4A79-99C1-ED43A72FFAF7 2 0.3065 0.6656 0.000 0.820 0.000 0.152 0.000 0.028
#> 4DBA59AD-9393-4BE6-88CB-852C62C4A334 3 0.0363 0.7116 0.000 0.000 0.988 0.000 0.000 0.012
#> 7887EDC4-A0D7-4E57-B3A1-330A5683457D 5 0.3782 0.7853 0.000 0.000 0.000 0.096 0.780 0.124
#> 2CD3AC14-46FB-4260-AE5C-4305C68D49BC 4 0.0146 0.7488 0.000 0.000 0.000 0.996 0.000 0.004
#> BAB8FA79-208A-488D-B955-806263E5D6BB 4 0.3269 0.7275 0.000 0.000 0.184 0.792 0.000 0.024
#> 98C990E7-7E3B-4200-A88D-E641931302EA 1 0.0000 0.8025 1.000 0.000 0.000 0.000 0.000 0.000
#> 894EE382-5ACA-4DEB-9267-99ADBEF6DA19 4 0.0363 0.7499 0.000 0.000 0.000 0.988 0.000 0.012
#> 98795F95-D26D-438A-AF46-B3BC3553F020 3 0.3175 0.7269 0.000 0.000 0.808 0.000 0.164 0.028
#> 9AD4C328-1554-4C92-931C-30CE8F305FDE 1 0.3140 0.7819 0.844 0.008 0.000 0.000 0.056 0.092
#> 4D1518D9-D968-4E7F-A702-5157A1A2E83E 1 0.1501 0.7880 0.924 0.000 0.000 0.000 0.000 0.076
#> A6E8AF8C-5D7B-4197-990B-786A869ACB96 1 0.2053 0.7836 0.888 0.000 0.000 0.000 0.108 0.004
#> DF8B4E19-8C78-4A68-8FAE-DFF01076BC97 6 0.4664 0.5499 0.000 0.364 0.052 0.000 0.000 0.584
#> 8D2C608F-3280-4CA2-B996-9AE3DBDBBD28 3 0.5031 0.4329 0.000 0.000 0.584 0.352 0.028 0.036
#> E7BCBD8D-1219-4A99-948A-47A258A5CD8B 4 0.2945 0.7396 0.000 0.000 0.156 0.824 0.000 0.020
#> 2C9633A5-8ACB-4D16-8120-F098BA14BB04 2 0.0547 0.8899 0.000 0.980 0.000 0.000 0.000 0.020
#> 985D9304-E4DA-4038-B235-067CBFEAC902 2 0.0547 0.8891 0.000 0.980 0.000 0.000 0.000 0.020
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#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 1 0.6344 0.3509 0.496 0.004 0.044 0.056 0.372 0.028
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.3627 0.7453 0.000 0.000 0.792 0.000 0.080 0.128
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.0000 0.8025 1.000 0.000 0.000 0.000 0.000 0.000
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.0458 0.8908 0.000 0.984 0.000 0.000 0.000 0.016
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 4 0.5116 0.3279 0.000 0.000 0.000 0.612 0.256 0.132
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.0632 0.8882 0.000 0.976 0.000 0.000 0.000 0.024
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 4 0.0363 0.7461 0.000 0.000 0.000 0.988 0.000 0.012
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 4 0.2494 0.7497 0.000 0.000 0.120 0.864 0.000 0.016
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 5 0.4982 0.6411 0.008 0.000 0.028 0.276 0.652 0.036
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 4 0.3141 0.7245 0.000 0.000 0.200 0.788 0.000 0.012
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.0000 0.8025 1.000 0.000 0.000 0.000 0.000 0.000
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.3767 0.7422 0.000 0.000 0.780 0.000 0.088 0.132
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.2383 0.7901 0.880 0.000 0.000 0.000 0.096 0.024
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.1714 0.7838 0.908 0.000 0.000 0.000 0.000 0.092
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.2383 0.7901 0.880 0.000 0.000 0.000 0.096 0.024
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.0692 0.8892 0.000 0.976 0.000 0.004 0.000 0.020
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 5 0.6698 0.3279 0.004 0.000 0.284 0.092 0.500 0.120
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 5 0.4101 0.2790 0.352 0.000 0.000 0.008 0.632 0.008
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 5 0.3168 0.7741 0.000 0.000 0.000 0.172 0.804 0.024
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.0508 0.8041 0.984 0.000 0.000 0.000 0.012 0.004
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 4 0.4191 0.6823 0.000 0.000 0.036 0.780 0.080 0.104
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 4 0.0363 0.7490 0.000 0.000 0.000 0.988 0.000 0.012
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 5 0.4000 0.7303 0.000 0.000 0.000 0.228 0.724 0.048
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 4 0.3789 0.6855 0.000 0.000 0.260 0.716 0.000 0.024
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 3 0.0865 0.7048 0.000 0.000 0.964 0.000 0.000 0.036
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 3 0.3284 0.5886 0.000 0.000 0.800 0.168 0.000 0.032
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.2383 0.7901 0.880 0.000 0.000 0.000 0.096 0.024
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.2383 0.7901 0.880 0.000 0.000 0.000 0.096 0.024
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 5 0.5408 0.7255 0.000 0.000 0.044 0.164 0.664 0.128
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 6 0.4497 0.5256 0.000 0.368 0.012 0.020 0.000 0.600
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.1921 0.8378 0.000 0.916 0.000 0.052 0.000 0.032
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 4 0.5248 0.3577 0.000 0.000 0.404 0.508 0.004 0.084
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 6 0.6060 0.3829 0.000 0.000 0.264 0.344 0.000 0.392
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.0865 0.8852 0.000 0.964 0.000 0.000 0.000 0.036
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 4 0.1682 0.7580 0.000 0.000 0.052 0.928 0.000 0.020
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 4 0.3695 0.6952 0.000 0.000 0.244 0.732 0.000 0.024
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.6713 -0.2694 0.000 0.232 0.380 0.040 0.000 0.348
#> CA356591-D24F-41A8-8C9A-1178C7781510 4 0.4130 0.6745 0.000 0.000 0.260 0.696 0.000 0.044
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.3718 0.7416 0.000 0.000 0.784 0.000 0.084 0.132
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.0000 0.8025 1.000 0.000 0.000 0.000 0.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["SD", "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 17888 rows and 430 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'SD' method.
#> Subgroups are detected by 'NMF' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.871 0.915 0.959 0.4642 0.541 0.541
#> 3 3 0.628 0.711 0.873 0.4234 0.716 0.511
#> 4 4 0.633 0.634 0.814 0.1289 0.816 0.526
#> 5 5 0.634 0.603 0.776 0.0671 0.839 0.475
#> 6 6 0.667 0.620 0.766 0.0409 0.912 0.614
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
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 2 0.0000 0.9561 0.000 1.000
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 2 0.0000 0.9561 0.000 1.000
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 2 0.0000 0.9561 0.000 1.000
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.2236 0.9477 0.036 0.964
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 2 0.0000 0.9561 0.000 1.000
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 1 0.2778 0.9279 0.952 0.048
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 2 0.0000 0.9561 0.000 1.000
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 2 0.1184 0.9561 0.016 0.984
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.1414 0.9550 0.020 0.980
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.1184 0.9561 0.016 0.984
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 1 0.5059 0.8644 0.888 0.112
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 2 0.0000 0.9561 0.000 1.000
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.1184 0.9531 0.984 0.016
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.1414 0.9550 0.020 0.980
#> ECB2DF14-CF68-44D4-8719-973AE448B992 1 0.1414 0.9514 0.980 0.020
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 2 0.1184 0.9561 0.016 0.984
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 1 0.2778 0.9341 0.952 0.048
#> 3282F146-2782-4877-9EFE-6020AC277A8C 2 0.0938 0.9564 0.012 0.988
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 2 0.1184 0.9561 0.016 0.984
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 2 0.7815 0.7278 0.232 0.768
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.1184 0.9561 0.016 0.984
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 2 0.2778 0.9395 0.048 0.952
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.2043 0.9500 0.032 0.968
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 1 0.1184 0.9531 0.984 0.016
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 2 0.0000 0.9561 0.000 1.000
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 2 0.1184 0.9561 0.016 0.984
#> C945DDA9-0194-46F4-89E2-13883284D5A4 2 0.0000 0.9561 0.000 1.000
#> 79B11925-9772-474F-A729-D00315959710 1 0.0000 0.9611 1.000 0.000
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 2 0.1184 0.9561 0.016 0.984
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 1 0.1184 0.9531 0.984 0.016
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 2 0.1843 0.9428 0.028 0.972
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.0000 0.9611 1.000 0.000
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.2043 0.9500 0.032 0.968
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 1 0.1184 0.9531 0.984 0.016
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 2 0.0672 0.9537 0.008 0.992
#> 26796E5F-C0C2-466C-9012-882F6D29C149 2 0.0000 0.9561 0.000 1.000
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 0.0000 0.9611 1.000 0.000
#> 1492D21A-6458-4B49-B530-7A327FCDD031 1 0.0000 0.9611 1.000 0.000
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 1 0.9427 0.4231 0.640 0.360
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 2 0.1633 0.9535 0.024 0.976
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.0000 0.9611 1.000 0.000
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 1 0.0938 0.9549 0.988 0.012
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.2236 0.9477 0.036 0.964
#> E846120D-D9E6-46F8-9647-2272AB064072 1 0.1184 0.9531 0.984 0.016
#> 36880C8C-91A9-49A9-A2D5-957161737F31 2 0.9866 0.2848 0.432 0.568
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.2043 0.9500 0.032 0.968
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 2 0.7950 0.7130 0.240 0.760
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 1 0.0000 0.9611 1.000 0.000
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 1 0.9427 0.4263 0.640 0.360
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 1 0.7745 0.7069 0.772 0.228
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 2 0.0000 0.9561 0.000 1.000
#> 116F3F29-AB89-4F00-9003-559041E285EB 2 0.0000 0.9561 0.000 1.000
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.2603 0.9424 0.044 0.956
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 1 0.3733 0.9184 0.928 0.072
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 2 0.1184 0.9561 0.016 0.984
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 2 0.1414 0.9555 0.020 0.980
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 1 0.0000 0.9611 1.000 0.000
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 2 0.1184 0.9561 0.016 0.984
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 2 0.0938 0.9564 0.012 0.988
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.0000 0.9611 1.000 0.000
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 2 0.0000 0.9561 0.000 1.000
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.4298 0.9042 0.088 0.912
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 2 0.0000 0.9561 0.000 1.000
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 1 0.0000 0.9611 1.000 0.000
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 2 0.1184 0.9561 0.016 0.984
#> CD576099-5450-4232-9B59-08341BED8FFA 2 0.1184 0.9561 0.016 0.984
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 2 0.0938 0.9564 0.012 0.988
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 1 0.0000 0.9611 1.000 0.000
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 1 0.0000 0.9611 1.000 0.000
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 2 0.1184 0.9561 0.016 0.984
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 2 0.0000 0.9561 0.000 1.000
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 2 0.0000 0.9561 0.000 1.000
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 1 0.0000 0.9611 1.000 0.000
#> 57E380FC-B6AB-466F-9936-D52192888008 1 0.0000 0.9611 1.000 0.000
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 2 0.1184 0.9561 0.016 0.984
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 1 0.0000 0.9611 1.000 0.000
#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 2 0.0000 0.9561 0.000 1.000
#> 1D4F0B66-720D-484D-B8D5-2B290ED208A8 2 0.0000 0.9561 0.000 1.000
#> C886CA33-5080-4E3E-88A2-F9A3CF03A857 2 0.8267 0.6442 0.260 0.740
#> 9AC963E4-F82D-460E-9CAD-C651B879780A 2 0.1633 0.9535 0.024 0.976
#> 1B6CF403-D0AE-4FFE-A884-660A58F32660 2 0.0000 0.9561 0.000 1.000
#> B33316E1-11FD-4C10-956A-C9C6F78508C5 1 0.0000 0.9611 1.000 0.000
#> BB02EF6A-C57D-4A79-99C1-ED43A72FFAF7 2 0.1184 0.9561 0.016 0.984
#> 4DBA59AD-9393-4BE6-88CB-852C62C4A334 2 0.0000 0.9561 0.000 1.000
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#> F96A4D39-CA48-4D92-94D7-951B746407B5 2 0.0000 0.9561 0.000 1.000
#> DDB6A47A-3E0A-4738-9D1E-EAB8682485C3 2 0.0938 0.9564 0.012 0.988
#> 914276B4-F36B-49F9-8F2A-05296459F3EB 2 0.1184 0.9561 0.016 0.984
#> 94D3B158-1C7B-43A2-AE00-64E115344C52 2 0.2423 0.9451 0.040 0.960
#> 8A125E59-3E7E-4A77-9F5C-94AAD54C95E5 1 0.0672 0.9573 0.992 0.008
#> F1AD0BF7-6094-4B0D-9FE1-F8439124269A 1 0.2423 0.9346 0.960 0.040
#> 3F7EC434-13A6-46C4-8791-C8992192C3D6 2 0.1184 0.9561 0.016 0.984
#> 65D42DF3-62D8-4B1E-B6EB-A0FEEA01FD70 1 0.7219 0.7750 0.800 0.200
#> 7A42FA71-7FD7-47B6-842B-0BEF0ECD7FB5 1 0.9993 0.0178 0.516 0.484
#> 57F784E9-1827-476B-9AA6-524E842641EA 2 0.0000 0.9561 0.000 1.000
#> 5E79792E-CE89-4ECF-BD4E-B12877E63949 2 0.0000 0.9561 0.000 1.000
#> E9DB46D8-5CE4-472C-8F21-9180F2D4C880 2 0.0000 0.9561 0.000 1.000
#> 7C712EF3-7368-4D97-BB9A-717CF8522C7F 2 0.0000 0.9561 0.000 1.000
#> 30312D82-4966-4EAA-A067-F91852FA8663 2 0.9983 0.1309 0.476 0.524
#> ECC62CBA-16AB-45F0-9C5A-72F302B4A188 2 0.0938 0.9564 0.012 0.988
#> 5AF4899F-D8E1-4CB6-B3DC-F0C60C808838 2 0.0000 0.9561 0.000 1.000
#> BBCEA0D1-DE66-4C0C-8D3C-D1398D04B472 2 0.1633 0.9535 0.024 0.976
#> 154764CD-AC69-4F48-A212-8B27C076C91A 2 0.0000 0.9561 0.000 1.000
#> 33266777-E07B-49D0-9E24-2EDE2577CF16 1 0.0000 0.9611 1.000 0.000
#> 7DAE9720-3922-4680-9F95-75C029B7FDA9 2 0.0000 0.9561 0.000 1.000
#> 1BC2ECED-0425-4382-BB94-F57ED2687F18 1 0.0000 0.9611 1.000 0.000
#> 0901D931-77BE-47B0-AE5F-C26C6A144CA0 1 0.0000 0.9611 1.000 0.000
#> 77AFFD5F-F715-4242-95C9-5F36E061B3E2 1 0.0000 0.9611 1.000 0.000
#> FAB4A6D6-E978-4172-9FE1-79FC50C0F849 2 0.1184 0.9561 0.016 0.984
#> 32C4DF54-39DD-4F62-B938-82ED2A0E0FFD 1 0.0000 0.9611 1.000 0.000
#> 9911D83E-6DDF-4048-9A34-22BFA1D68BBD 2 0.0000 0.9561 0.000 1.000
#> 4BAC0A03-BB88-4D19-86F9-FF093330C9B3 2 0.0000 0.9561 0.000 1.000
#> 18F63ADA-1828-43DD-AE1F-F36706C204CD 2 0.0000 0.9561 0.000 1.000
#> 66729295-C0AA-42C7-92C9-05194EF02276 2 0.0000 0.9561 0.000 1.000
#> 4CCA3104-B557-403D-AC06-A6D4936DDC04 2 0.0000 0.9561 0.000 1.000
#> 77D4165E-7CB1-4D69-AFE5-C8D914531651 2 0.1184 0.9561 0.016 0.984
#> BA12A05A-622A-424D-8108-3F5916405EB0 1 0.9954 0.1957 0.540 0.460
#> DED4EA4D-9DC2-4419-83EC-2BFE75DC1830 2 0.1184 0.9561 0.016 0.984
#> 13A35364-57C5-4F5A-B077-3BA2689BFDD3 1 0.7376 0.7375 0.792 0.208
#> 2641B816-1D21-496E-85AD-1C690C9146A6 2 0.2043 0.9389 0.032 0.968
#> 96E2AD09-7287-4B91-840E-81444A61D56F 2 0.0000 0.9561 0.000 1.000
#> 62F3327F-FB16-4AD0-BCF5-B180F28281A9 2 0.2043 0.9500 0.032 0.968
#> 112F7032-0212-4939-9449-D67E3600CCD5 2 0.0000 0.9561 0.000 1.000
#> A3B4DE21-DDF0-4468-A300-7BECBAFD0BCD 1 0.0000 0.9611 1.000 0.000
#> 0A03E593-6931-419C-AE47-51D75185C2C0 2 0.0000 0.9561 0.000 1.000
#> 2416A3DC-A563-4FD1-A139-0E6EF7185211 2 0.2043 0.9500 0.032 0.968
#> 18B29573-822C-405F-B793-DBC8924866CE 2 0.2043 0.9500 0.032 0.968
#> 994EC227-B239-4CEE-AC96-EB5CC0AF583E 1 0.0000 0.9611 1.000 0.000
#> 950933A3-5757-4914-9DC5-C220C2A455FD 2 0.0000 0.9561 0.000 1.000
#> DBDFE95C-F941-407A-BE7D-D43D50143C4D 2 0.9580 0.4323 0.380 0.620
#> D024393C-29D0-41C4-AB86-7E94581FDD26 2 0.1184 0.9561 0.016 0.984
#> 4975AB35-93E5-400D-A429-CEA81BA89FFE 1 0.0376 0.9592 0.996 0.004
#> 666ADCA2-1AE4-4843-B1C8-8EE29C44AE74 1 0.4690 0.8809 0.900 0.100
#> A8F79C08-3943-4707-ADCB-890A955B5394 2 0.2236 0.9477 0.036 0.964
#> A81614ED-14CB-4EBC-988E-F67FBCBF62D8 1 0.0000 0.9611 1.000 0.000
#> E27E65C8-5B57-4C91-9D20-C075AEA2F2C5 1 0.0000 0.9611 1.000 0.000
#> 745F18CA-080D-42FE-BAA6-89AD7E3D3408 2 0.2043 0.9500 0.032 0.968
#> E755A625-799D-4A39-9D56-080228E0B669 1 0.7528 0.7246 0.784 0.216
#> 3D94EFB8-94D4-4FDE-97D8-18A159279996 2 0.0000 0.9561 0.000 1.000
#> 3D305C2E-6C86-4684-AA2A-155291AB4CC3 1 0.0000 0.9611 1.000 0.000
#> E140052A-5434-4C44-9873-0318D1D272CA 2 0.2043 0.9500 0.032 0.968
#> 68E56692-D46D-4A27-86CD-717E10AADDDA 2 0.0000 0.9561 0.000 1.000
#> 00A0586E-5F05-47B3-925C-87E811B0893B 2 0.0376 0.9550 0.004 0.996
#> E2B019A7-7C95-40FE-800C-D30E9730825C 1 0.1633 0.9492 0.976 0.024
#> 1B9ABB69-5CC6-4B6B-ABBC-71CC3274C7F0 1 0.0000 0.9611 1.000 0.000
#> FAE396AA-3C3C-4AF9-953D-385C41B2DB5B 1 0.0000 0.9611 1.000 0.000
#> 6BE4397D-1E5B-4486-83B4-EE0EC146C805 2 0.2043 0.9500 0.032 0.968
#> EE38BD4E-5A08-4639-912F-04203F53762F 1 0.0000 0.9611 1.000 0.000
#> 4050E7F8-80B6-46F2-8FF0-D4EC313E975B 2 0.0938 0.9521 0.012 0.988
#> F3565161-FFBE-4138-9773-558DB386710C 1 0.0000 0.9611 1.000 0.000
#> BA9ABEB1-D3F0-4F09-A647-25211C47C3D0 2 0.2043 0.9500 0.032 0.968
#> 9E41E79A-4028-4F60-8250-411F191B665C 1 0.0000 0.9611 1.000 0.000
#> 5F1D3EFD-ECDA-4C92-8D81-491484F09C95 2 0.9170 0.4989 0.332 0.668
#> 0DBA04CB-417D-4E2B-BE83-3563F45291C4 1 0.0000 0.9611 1.000 0.000
#> B9B882A5-194B-4F5C-B702-0CF71CA6D9D2 2 0.1184 0.9561 0.016 0.984
#> 67FE7638-B8F5-4631-B178-AC23B0382983 1 0.0000 0.9611 1.000 0.000
#> FE03FC2C-9A4E-4F89-8681-E33DFECCC692 1 0.0000 0.9611 1.000 0.000
#> 2B22B4B7-8A39-435C-BE3B-86FA84C8F941 2 0.0000 0.9561 0.000 1.000
#> 00844B35-C108-4AEC-A687-4A91A2F33E6D 1 0.0000 0.9611 1.000 0.000
#> C221EE7A-6343-4B6D-B322-0A2C0F0B29AF 1 0.0000 0.9611 1.000 0.000
#> B28A6D56-7654-4829-BF1F-657C3C2C10D8 1 0.0000 0.9611 1.000 0.000
#> F4C7BCEC-3CD4-4D9A-89EA-0ED58EA0DCFE 1 0.0000 0.9611 1.000 0.000
#> F06FBFAB-D143-47AE-BEE7-51B48164764F 1 0.0000 0.9611 1.000 0.000
#> 525F522B-E865-4479-AE65-510903ABF46F 2 0.0000 0.9561 0.000 1.000
#> F0CB60E3-C412-46A2-918F-8C5C099AB224 2 0.9393 0.4948 0.356 0.644
#> 587F307F-6E1B-487E-8E47-A99AB43DC5B4 1 0.8016 0.7046 0.756 0.244
#> 883D9145-8414-4571-A3E1-516F03452C46 1 0.0376 0.9593 0.996 0.004
#> 4A917271-7EA0-4F43-B474-7F5EA756EB05 1 0.0000 0.9611 1.000 0.000
#> BB33015D-218C-4A1E-8839-95837D6E9B88 1 0.0000 0.9611 1.000 0.000
#> 021CC81F-710D-4EEA-B1D8-012A81715ACC 1 0.0000 0.9611 1.000 0.000
#> B00C4925-47E3-4442-ABEB-82D714A26587 2 0.6623 0.8035 0.172 0.828
#> F79B27D3-0426-47BB-9756-7E0759246E5E 2 0.0672 0.9565 0.008 0.992
#> 1F179559-D93E-491C-B499-64F86C31DAE0 2 0.0000 0.9561 0.000 1.000
#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 2 0.0000 0.9561 0.000 1.000
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 1 0.1184 0.9531 0.984 0.016
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 1 0.1843 0.9465 0.972 0.028
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 2 0.2043 0.9500 0.032 0.968
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 1 0.0376 0.9592 0.996 0.004
#> ED9794C0-AC60-4B54-8214-D26714871BBF 1 0.0000 0.9611 1.000 0.000
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 2 0.0938 0.9564 0.012 0.988
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 2 0.2043 0.9500 0.032 0.968
#> 18D816AF-394A-482F-B22E-896A43B1E481 2 0.1843 0.9519 0.028 0.972
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 2 0.9754 0.3594 0.408 0.592
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 2 0.0000 0.9561 0.000 1.000
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 2 0.1184 0.9561 0.016 0.984
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 2 0.0938 0.9520 0.012 0.988
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 2 0.1843 0.9519 0.028 0.972
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 2 0.1184 0.9561 0.016 0.984
#> 7E809698-2473-4EFE-B896-1637983EC596 2 0.1184 0.9561 0.016 0.984
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 2 0.0000 0.9561 0.000 1.000
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 2 0.0672 0.9537 0.008 0.992
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 2 0.0672 0.9565 0.008 0.992
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.0000 0.9611 1.000 0.000
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.0000 0.9611 1.000 0.000
#> 73F28A79-7D35-4FE9-849D-FFE681483928 1 0.7139 0.7528 0.804 0.196
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 1 0.0000 0.9611 1.000 0.000
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 2 0.0000 0.9561 0.000 1.000
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 1 0.1184 0.9531 0.984 0.016
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.1184 0.9561 0.016 0.984
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.0000 0.9611 1.000 0.000
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 1 0.0938 0.9549 0.988 0.012
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 1 0.0000 0.9611 1.000 0.000
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 1 0.1633 0.9492 0.976 0.024
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 2 0.0000 0.9561 0.000 1.000
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.0000 0.9611 1.000 0.000
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.3274 0.9299 0.060 0.940
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 2 0.0938 0.9564 0.012 0.988
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.1184 0.9561 0.016 0.984
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 2 0.0000 0.9561 0.000 1.000
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 2 0.1184 0.9561 0.016 0.984
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 2 0.3879 0.9173 0.076 0.924
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 2 0.1184 0.9561 0.016 0.984
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.0000 0.9611 1.000 0.000
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 2 0.3879 0.9005 0.076 0.924
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.1184 0.9531 0.984 0.016
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.0000 0.9611 1.000 0.000
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.0938 0.9552 0.988 0.012
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.2043 0.9500 0.032 0.968
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 1 0.5294 0.8681 0.880 0.120
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.0000 0.9611 1.000 0.000
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 2 0.9963 0.1835 0.464 0.536
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.0000 0.9611 1.000 0.000
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 2 0.0000 0.9561 0.000 1.000
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 2 0.1184 0.9561 0.016 0.984
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 2 0.8327 0.6784 0.264 0.736
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 2 0.0672 0.9565 0.008 0.992
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 2 0.0000 0.9561 0.000 1.000
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 2 0.0000 0.9561 0.000 1.000
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.0000 0.9611 1.000 0.000
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.0000 0.9611 1.000 0.000
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 2 0.1184 0.9501 0.016 0.984
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.0000 0.9561 0.000 1.000
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.1184 0.9561 0.016 0.984
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 2 0.0000 0.9561 0.000 1.000
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 2 0.0000 0.9561 0.000 1.000
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 1 0.1633 0.9469 0.976 0.024
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 2 0.1184 0.9561 0.016 0.984
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 2 0.0938 0.9564 0.012 0.988
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 2 0.0000 0.9561 0.000 1.000
#> CA356591-D24F-41A8-8C9A-1178C7781510 2 0.0000 0.9561 0.000 1.000
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 2 0.5629 0.8366 0.132 0.868
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.0000 0.9611 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 3 0.5948 0.53445 0.000 0.360 0.640
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.6244 0.12100 0.000 0.440 0.560
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 3 0.5016 0.65379 0.000 0.240 0.760
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.0000 0.86165 0.000 1.000 0.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 3 0.0237 0.76947 0.000 0.004 0.996
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 1 0.6204 0.28760 0.576 0.424 0.000
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 3 0.5138 0.64376 0.000 0.252 0.748
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 3 0.6154 0.46522 0.000 0.408 0.592
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.0000 0.86165 0.000 1.000 0.000
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.0000 0.86165 0.000 1.000 0.000
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.5465 0.52358 0.288 0.712 0.000
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.0000 0.76986 0.000 0.000 1.000
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.3267 0.83426 0.884 0.000 0.116
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.0000 0.86165 0.000 1.000 0.000
#> ECB2DF14-CF68-44D4-8719-973AE448B992 1 0.3619 0.81757 0.864 0.000 0.136
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 3 0.6309 0.24600 0.000 0.496 0.504
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 1 0.6302 0.21920 0.520 0.000 0.480
#> 3282F146-2782-4877-9EFE-6020AC277A8C 3 0.6168 0.45671 0.000 0.412 0.588
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 3 0.6126 0.48017 0.000 0.400 0.600
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 2 0.5859 0.40736 0.344 0.656 0.000
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.0000 0.86165 0.000 1.000 0.000
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 2 0.2625 0.79478 0.000 0.916 0.084
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.0000 0.86165 0.000 1.000 0.000
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 1 0.1411 0.90104 0.964 0.000 0.036
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 3 0.0747 0.76710 0.000 0.016 0.984
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#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 2 0.6026 0.20875 0.000 0.624 0.376
#> 7E809698-2473-4EFE-B896-1637983EC596 2 0.3038 0.77146 0.000 0.896 0.104
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 3 0.0000 0.76986 0.000 0.000 1.000
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 3 0.0000 0.76986 0.000 0.000 1.000
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 2 0.0424 0.85836 0.000 0.992 0.008
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.0000 0.92236 1.000 0.000 0.000
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.0000 0.92236 1.000 0.000 0.000
#> 73F28A79-7D35-4FE9-849D-FFE681483928 3 0.5591 0.53164 0.304 0.000 0.696
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 1 0.0000 0.92236 1.000 0.000 0.000
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 3 0.0000 0.76986 0.000 0.000 1.000
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 1 0.0592 0.91624 0.988 0.000 0.012
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.0000 0.86165 0.000 1.000 0.000
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.0000 0.92236 1.000 0.000 0.000
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 1 0.1031 0.90668 0.976 0.000 0.024
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 1 0.0000 0.92236 1.000 0.000 0.000
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 1 0.3752 0.80672 0.856 0.000 0.144
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.0000 0.76986 0.000 0.000 1.000
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.0000 0.92236 1.000 0.000 0.000
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.0237 0.85958 0.004 0.996 0.000
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 3 0.5882 0.54887 0.000 0.348 0.652
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.0000 0.86165 0.000 1.000 0.000
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 3 0.6274 0.36264 0.000 0.456 0.544
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 2 0.5560 0.42000 0.000 0.700 0.300
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 3 0.6816 0.16551 0.472 0.012 0.516
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 3 0.6309 0.24508 0.000 0.496 0.504
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.0000 0.92236 1.000 0.000 0.000
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.0000 0.76986 0.000 0.000 1.000
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.0747 0.91399 0.984 0.000 0.016
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.5465 0.58885 0.712 0.288 0.000
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.0237 0.92050 0.996 0.000 0.004
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.0000 0.86165 0.000 1.000 0.000
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 3 0.0747 0.76275 0.016 0.000 0.984
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.0000 0.92236 1.000 0.000 0.000
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 1 0.5020 0.79175 0.836 0.056 0.108
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.0000 0.92236 1.000 0.000 0.000
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 3 0.4842 0.66607 0.000 0.224 0.776
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 2 0.6140 0.11311 0.000 0.596 0.404
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 2 0.9897 0.00013 0.344 0.388 0.268
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 3 0.6111 0.48604 0.000 0.396 0.604
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 3 0.0237 0.76947 0.000 0.004 0.996
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 3 0.0237 0.76947 0.000 0.004 0.996
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.0000 0.92236 1.000 0.000 0.000
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.0000 0.92236 1.000 0.000 0.000
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 3 0.0000 0.76986 0.000 0.000 1.000
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.0000 0.86165 0.000 1.000 0.000
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.0000 0.86165 0.000 1.000 0.000
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 3 0.5905 0.54390 0.000 0.352 0.648
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.0000 0.76986 0.000 0.000 1.000
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.5254 0.56415 0.264 0.736 0.000
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 3 0.6305 0.28156 0.000 0.484 0.516
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 3 0.6079 0.49768 0.000 0.388 0.612
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.6126 0.22482 0.000 0.400 0.600
#> CA356591-D24F-41A8-8C9A-1178C7781510 3 0.5988 0.52446 0.000 0.368 0.632
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.0000 0.76986 0.000 0.000 1.000
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.0000 0.92236 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 4 0.4898 0.5268 0.000 0.000 0.416 0.584
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.3215 0.6248 0.032 0.092 0.876 0.000
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 4 0.4643 0.5914 0.000 0.000 0.344 0.656
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.0000 0.9107 0.000 1.000 0.000 0.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 4 0.4877 0.5371 0.000 0.000 0.408 0.592
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 2 0.5682 0.0597 0.456 0.520 0.024 0.000
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 4 0.4761 0.5638 0.000 0.000 0.372 0.628
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 4 0.2999 0.6698 0.004 0.000 0.132 0.864
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.0336 0.9085 0.000 0.992 0.000 0.008
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.0000 0.9107 0.000 1.000 0.000 0.000
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.0336 0.9072 0.008 0.992 0.000 0.000
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.4643 0.5288 0.000 0.000 0.656 0.344
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 3 0.4972 0.1044 0.456 0.000 0.544 0.000
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.0336 0.9085 0.000 0.992 0.000 0.008
#> ECB2DF14-CF68-44D4-8719-973AE448B992 1 0.6168 0.4976 0.556 0.000 0.056 0.388
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 4 0.5078 0.6296 0.000 0.028 0.272 0.700
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 3 0.6723 0.5066 0.188 0.000 0.616 0.196
#> 3282F146-2782-4877-9EFE-6020AC277A8C 4 0.5400 0.5661 0.000 0.020 0.372 0.608
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 4 0.0000 0.6541 0.000 0.000 0.000 1.000
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 1 0.7285 0.4881 0.520 0.180 0.000 0.300
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.0000 0.9107 0.000 1.000 0.000 0.000
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 4 0.3071 0.5973 0.068 0.044 0.000 0.888
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.0000 0.9107 0.000 1.000 0.000 0.000
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 1 0.6656 0.6067 0.620 0.000 0.160 0.220
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 4 0.0336 0.6569 0.000 0.000 0.008 0.992
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 4 0.0188 0.6555 0.000 0.000 0.004 0.996
#> C945DDA9-0194-46F4-89E2-13883284D5A4 4 0.4222 0.6206 0.000 0.000 0.272 0.728
#> 79B11925-9772-474F-A729-D00315959710 1 0.0000 0.8338 1.000 0.000 0.000 0.000
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 4 0.6716 0.4602 0.000 0.320 0.112 0.568
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 1 0.3597 0.7447 0.836 0.000 0.148 0.016
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 4 0.0469 0.6577 0.000 0.000 0.012 0.988
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.1940 0.8231 0.924 0.000 0.000 0.076
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 4 0.2924 0.5999 0.016 0.100 0.000 0.884
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 3 0.7140 0.0498 0.404 0.000 0.464 0.132
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.4277 0.5730 0.000 0.000 0.720 0.280
#> 26796E5F-C0C2-466C-9012-882F6D29C149 4 0.4431 0.6035 0.000 0.000 0.304 0.696
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 0.0707 0.8314 0.980 0.000 0.020 0.000
#> 1492D21A-6458-4B49-B530-7A327FCDD031 1 0.3074 0.7840 0.848 0.000 0.000 0.152
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 4 0.3088 0.5647 0.128 0.000 0.008 0.864
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 4 0.4624 0.5966 0.000 0.000 0.340 0.660
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.0804 0.8344 0.980 0.000 0.008 0.012
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 4 0.5168 -0.3462 0.492 0.000 0.004 0.504
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.0336 0.9085 0.000 0.992 0.000 0.008
#> E846120D-D9E6-46F8-9647-2272AB064072 1 0.4406 0.5379 0.700 0.000 0.300 0.000
#> 36880C8C-91A9-49A9-A2D5-957161737F31 2 0.0000 0.9107 0.000 1.000 0.000 0.000
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.0000 0.9107 0.000 1.000 0.000 0.000
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 2 0.5070 0.2375 0.416 0.580 0.000 0.004
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 1 0.2984 0.8159 0.888 0.000 0.028 0.084
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 4 0.2174 0.6394 0.052 0.000 0.020 0.928
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 2 0.1022 0.8915 0.032 0.968 0.000 0.000
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 3 0.1792 0.6282 0.000 0.000 0.932 0.068
#> 116F3F29-AB89-4F00-9003-559041E285EB 3 0.5000 -0.3655 0.000 0.000 0.504 0.496
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.0000 0.9107 0.000 1.000 0.000 0.000
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 3 0.3088 0.6512 0.052 0.000 0.888 0.060
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 4 0.7120 0.2399 0.000 0.436 0.128 0.436
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 4 0.0469 0.6577 0.000 0.000 0.012 0.988
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 1 0.1716 0.8139 0.936 0.000 0.064 0.000
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 4 0.2334 0.6294 0.000 0.088 0.004 0.908
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 2 0.0188 0.9097 0.000 0.996 0.000 0.004
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.0336 0.8331 0.992 0.000 0.008 0.000
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 3 0.4916 0.4574 0.000 0.000 0.576 0.424
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.0000 0.9107 0.000 1.000 0.000 0.000
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 4 0.4994 -0.3068 0.000 0.000 0.480 0.520
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 1 0.3611 0.7994 0.860 0.000 0.080 0.060
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 4 0.6417 0.5158 0.000 0.072 0.388 0.540
#> CD576099-5450-4232-9B59-08341BED8FFA 4 0.0592 0.6600 0.000 0.000 0.016 0.984
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 4 0.3836 0.6557 0.000 0.016 0.168 0.816
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 1 0.0188 0.8335 0.996 0.000 0.004 0.000
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 1 0.0000 0.8338 1.000 0.000 0.000 0.000
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 2 0.1302 0.8829 0.000 0.956 0.000 0.044
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 4 0.4679 0.5870 0.000 0.000 0.352 0.648
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 3 0.4250 0.3342 0.000 0.000 0.724 0.276
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 1 0.1792 0.8249 0.932 0.000 0.000 0.068
#> 57E380FC-B6AB-466F-9936-D52192888008 1 0.1474 0.8293 0.948 0.000 0.000 0.052
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 4 0.4804 0.5627 0.000 0.000 0.384 0.616
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 1 0.0817 0.8336 0.976 0.000 0.000 0.024
#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 4 0.5594 0.6012 0.000 0.092 0.192 0.716
#> 1D4F0B66-720D-484D-B8D5-2B290ED208A8 3 0.4888 -0.1100 0.000 0.000 0.588 0.412
#> C886CA33-5080-4E3E-88A2-F9A3CF03A857 3 0.6382 0.4957 0.196 0.136 0.664 0.004
#> 9AC963E4-F82D-460E-9CAD-C651B879780A 2 0.5288 -0.0501 0.000 0.520 0.008 0.472
#> 1B6CF403-D0AE-4FFE-A884-660A58F32660 4 0.4941 0.4976 0.000 0.000 0.436 0.564
#> B33316E1-11FD-4C10-956A-C9C6F78508C5 1 0.3219 0.7703 0.836 0.000 0.000 0.164
#> BB02EF6A-C57D-4A79-99C1-ED43A72FFAF7 2 0.0188 0.9101 0.000 0.996 0.000 0.004
#> 4DBA59AD-9393-4BE6-88CB-852C62C4A334 3 0.4941 -0.2086 0.000 0.000 0.564 0.436
#> 7887EDC4-A0D7-4E57-B3A1-330A5683457D 4 0.4431 0.2690 0.304 0.000 0.000 0.696
#> 2CD3AC14-46FB-4260-AE5C-4305C68D49BC 4 0.0469 0.6578 0.000 0.000 0.012 0.988
#> BAB8FA79-208A-488D-B955-806263E5D6BB 4 0.4730 0.5791 0.000 0.000 0.364 0.636
#> 98C990E7-7E3B-4200-A88D-E641931302EA 1 0.0336 0.8331 0.992 0.000 0.008 0.000
#> 894EE382-5ACA-4DEB-9267-99ADBEF6DA19 4 0.3598 0.6648 0.000 0.028 0.124 0.848
#> 98795F95-D26D-438A-AF46-B3BC3553F020 3 0.2530 0.6385 0.100 0.000 0.896 0.004
#> 9AD4C328-1554-4C92-931C-30CE8F305FDE 1 0.1302 0.8234 0.956 0.000 0.044 0.000
#> 4D1518D9-D968-4E7F-A702-5157A1A2E83E 1 0.0707 0.8314 0.980 0.000 0.020 0.000
#> A6E8AF8C-5D7B-4197-990B-786A869ACB96 1 0.3764 0.7357 0.784 0.000 0.000 0.216
#> DF8B4E19-8C78-4A68-8FAE-DFF01076BC97 2 0.0000 0.9107 0.000 1.000 0.000 0.000
#> 8D2C608F-3280-4CA2-B996-9AE3DBDBBD28 4 0.4996 -0.3472 0.000 0.000 0.484 0.516
#> E7BCBD8D-1219-4A99-948A-47A258A5CD8B 4 0.4804 0.5627 0.000 0.000 0.384 0.616
#> 2C9633A5-8ACB-4D16-8120-F098BA14BB04 2 0.0376 0.9090 0.000 0.992 0.004 0.004
#> 985D9304-E4DA-4038-B235-067CBFEAC902 2 0.0000 0.9107 0.000 1.000 0.000 0.000
#> D34CE243-6F4F-4158-9FC4-77E1640E8A91 2 0.0000 0.9107 0.000 1.000 0.000 0.000
#> 65131575-48D3-42C2-B411-3DB871EF5EE1 4 0.0817 0.6626 0.000 0.000 0.024 0.976
#> 1AE13DFA-670C-43EE-9898-8FA831AEDDB3 4 0.4955 0.4783 0.000 0.000 0.444 0.556
#> 3ACDCD29-1B8D-455D-9EE9-D6C903B16D09 4 0.3123 0.5236 0.156 0.000 0.000 0.844
#> C6FBC35B-0113-4F00-BE1A-831D2C551055 1 0.4888 0.5233 0.588 0.000 0.000 0.412
#> A8F3285D-A85E-4E73-9D20-9D14AA51916B 3 0.2469 0.5971 0.000 0.000 0.892 0.108
#> 51601A73-2D75-4056-AEBB-8FF8DB813450 3 0.0188 0.6519 0.000 0.000 0.996 0.004
#> 75021778-A96B-4F57-8C26-68E8F33D7EB7 4 0.0188 0.6527 0.004 0.000 0.000 0.996
#> 71FFB439-22A1-4EBB-AEA6-A6BCA8CA6648 3 0.1389 0.6519 0.000 0.000 0.952 0.048
#> BEDB0135-0A26-44EF-9028-C4907403B110 4 0.1637 0.6424 0.000 0.000 0.060 0.940
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#> F96A4D39-CA48-4D92-94D7-951B746407B5 3 0.1724 0.6556 0.000 0.032 0.948 0.020
#> DDB6A47A-3E0A-4738-9D1E-EAB8682485C3 2 0.0336 0.9074 0.000 0.992 0.008 0.000
#> 914276B4-F36B-49F9-8F2A-05296459F3EB 2 0.0000 0.9107 0.000 1.000 0.000 0.000
#> 94D3B158-1C7B-43A2-AE00-64E115344C52 2 0.0336 0.9085 0.000 0.992 0.000 0.008
#> 8A125E59-3E7E-4A77-9F5C-94AAD54C95E5 2 0.2522 0.8448 0.076 0.908 0.016 0.000
#> F1AD0BF7-6094-4B0D-9FE1-F8439124269A 2 0.2921 0.7891 0.140 0.860 0.000 0.000
#> 3F7EC434-13A6-46C4-8791-C8992192C3D6 4 0.4730 0.5793 0.000 0.000 0.364 0.636
#> 65D42DF3-62D8-4B1E-B6EB-A0FEEA01FD70 4 0.0657 0.6486 0.012 0.000 0.004 0.984
#> 7A42FA71-7FD7-47B6-842B-0BEF0ECD7FB5 1 0.6824 0.3888 0.548 0.336 0.000 0.116
#> 57F784E9-1827-476B-9AA6-524E842641EA 3 0.4972 0.4219 0.000 0.000 0.544 0.456
#> 5E79792E-CE89-4ECF-BD4E-B12877E63949 4 0.1284 0.6557 0.000 0.024 0.012 0.964
#> E9DB46D8-5CE4-472C-8F21-9180F2D4C880 4 0.4855 0.5451 0.000 0.000 0.400 0.600
#> 7C712EF3-7368-4D97-BB9A-717CF8522C7F 3 0.0592 0.6518 0.000 0.000 0.984 0.016
#> 30312D82-4966-4EAA-A067-F91852FA8663 2 0.0000 0.9107 0.000 1.000 0.000 0.000
#> ECC62CBA-16AB-45F0-9C5A-72F302B4A188 2 0.5407 0.6260 0.000 0.740 0.152 0.108
#> 5AF4899F-D8E1-4CB6-B3DC-F0C60C808838 2 0.1867 0.8620 0.000 0.928 0.072 0.000
#> BBCEA0D1-DE66-4C0C-8D3C-D1398D04B472 2 0.0188 0.9097 0.000 0.996 0.000 0.004
#> 154764CD-AC69-4F48-A212-8B27C076C91A 3 0.3444 0.4956 0.000 0.000 0.816 0.184
#> 33266777-E07B-49D0-9E24-2EDE2577CF16 1 0.1059 0.8342 0.972 0.000 0.016 0.012
#> 7DAE9720-3922-4680-9F95-75C029B7FDA9 2 0.2530 0.8332 0.000 0.896 0.100 0.004
#> 1BC2ECED-0425-4382-BB94-F57ED2687F18 1 0.0336 0.8336 0.992 0.000 0.008 0.000
#> 0901D931-77BE-47B0-AE5F-C26C6A144CA0 1 0.1114 0.8339 0.972 0.004 0.016 0.008
#> 77AFFD5F-F715-4242-95C9-5F36E061B3E2 1 0.4790 0.5723 0.620 0.000 0.000 0.380
#> FAB4A6D6-E978-4172-9FE1-79FC50C0F849 4 0.4730 0.5793 0.000 0.000 0.364 0.636
#> 32C4DF54-39DD-4F62-B938-82ED2A0E0FFD 1 0.4072 0.7104 0.748 0.000 0.000 0.252
#> 9911D83E-6DDF-4048-9A34-22BFA1D68BBD 3 0.4331 0.5757 0.000 0.000 0.712 0.288
#> 4BAC0A03-BB88-4D19-86F9-FF093330C9B3 4 0.3024 0.6419 0.000 0.000 0.148 0.852
#> 18F63ADA-1828-43DD-AE1F-F36706C204CD 3 0.5006 0.6109 0.000 0.124 0.772 0.104
#> 66729295-C0AA-42C7-92C9-05194EF02276 4 0.4072 0.6151 0.000 0.000 0.252 0.748
#> 4CCA3104-B557-403D-AC06-A6D4936DDC04 3 0.1716 0.6329 0.000 0.000 0.936 0.064
#> 77D4165E-7CB1-4D69-AFE5-C8D914531651 4 0.2814 0.6124 0.000 0.132 0.000 0.868
#> BA12A05A-622A-424D-8108-3F5916405EB0 3 0.2589 0.6295 0.116 0.000 0.884 0.000
#> DED4EA4D-9DC2-4419-83EC-2BFE75DC1830 2 0.0000 0.9107 0.000 1.000 0.000 0.000
#> 13A35364-57C5-4F5A-B077-3BA2689BFDD3 1 0.1610 0.8255 0.952 0.032 0.016 0.000
#> 2641B816-1D21-496E-85AD-1C690C9146A6 3 0.0592 0.6536 0.000 0.000 0.984 0.016
#> 96E2AD09-7287-4B91-840E-81444A61D56F 2 0.4516 0.6174 0.000 0.736 0.252 0.012
#> 62F3327F-FB16-4AD0-BCF5-B180F28281A9 4 0.5746 0.2396 0.020 0.444 0.004 0.532
#> 112F7032-0212-4939-9449-D67E3600CCD5 2 0.1637 0.8709 0.000 0.940 0.060 0.000
#> A3B4DE21-DDF0-4468-A300-7BECBAFD0BCD 1 0.4406 0.6629 0.700 0.000 0.000 0.300
#> 0A03E593-6931-419C-AE47-51D75185C2C0 3 0.1743 0.6513 0.004 0.000 0.940 0.056
#> 2416A3DC-A563-4FD1-A139-0E6EF7185211 2 0.3649 0.6837 0.000 0.796 0.000 0.204
#> 18B29573-822C-405F-B793-DBC8924866CE 2 0.0000 0.9107 0.000 1.000 0.000 0.000
#> 994EC227-B239-4CEE-AC96-EB5CC0AF583E 1 0.0804 0.8344 0.980 0.000 0.012 0.008
#> 950933A3-5757-4914-9DC5-C220C2A455FD 3 0.1867 0.6276 0.000 0.000 0.928 0.072
#> DBDFE95C-F941-407A-BE7D-D43D50143C4D 2 0.3196 0.7888 0.136 0.856 0.008 0.000
#> D024393C-29D0-41C4-AB86-7E94581FDD26 4 0.4730 0.5776 0.000 0.000 0.364 0.636
#> 4975AB35-93E5-400D-A429-CEA81BA89FFE 1 0.2281 0.8149 0.904 0.000 0.000 0.096
#> 666ADCA2-1AE4-4843-B1C8-8EE29C44AE74 1 0.3649 0.6911 0.796 0.000 0.204 0.000
#> A8F79C08-3943-4707-ADCB-890A955B5394 2 0.0188 0.9101 0.000 0.996 0.000 0.004
#> A81614ED-14CB-4EBC-988E-F67FBCBF62D8 1 0.4898 0.3104 0.584 0.416 0.000 0.000
#> E27E65C8-5B57-4C91-9D20-C075AEA2F2C5 1 0.2216 0.7967 0.908 0.000 0.092 0.000
#> 745F18CA-080D-42FE-BAA6-89AD7E3D3408 4 0.4719 0.6585 0.000 0.048 0.180 0.772
#> E755A625-799D-4A39-9D56-080228E0B669 2 0.5546 0.5608 0.268 0.680 0.052 0.000
#> 3D94EFB8-94D4-4FDE-97D8-18A159279996 3 0.4855 0.2221 0.000 0.400 0.600 0.000
#> 3D305C2E-6C86-4684-AA2A-155291AB4CC3 1 0.0336 0.8342 0.992 0.000 0.000 0.008
#> E140052A-5434-4C44-9873-0318D1D272CA 2 0.0188 0.9101 0.000 0.996 0.000 0.004
#> 68E56692-D46D-4A27-86CD-717E10AADDDA 3 0.3801 0.4527 0.000 0.000 0.780 0.220
#> 00A0586E-5F05-47B3-925C-87E811B0893B 3 0.5193 0.4513 0.008 0.000 0.580 0.412
#> E2B019A7-7C95-40FE-800C-D30E9730825C 3 0.6396 0.4790 0.076 0.000 0.564 0.360
#> 1B9ABB69-5CC6-4B6B-ABBC-71CC3274C7F0 1 0.1118 0.8310 0.964 0.000 0.000 0.036
#> FAE396AA-3C3C-4AF9-953D-385C41B2DB5B 1 0.2197 0.8170 0.916 0.000 0.004 0.080
#> 6BE4397D-1E5B-4486-83B4-EE0EC146C805 2 0.0336 0.9085 0.000 0.992 0.000 0.008
#> EE38BD4E-5A08-4639-912F-04203F53762F 1 0.0336 0.8331 0.992 0.000 0.008 0.000
#> 4050E7F8-80B6-46F2-8FF0-D4EC313E975B 3 0.0592 0.6520 0.000 0.000 0.984 0.016
#> F3565161-FFBE-4138-9773-558DB386710C 1 0.0469 0.8344 0.988 0.000 0.000 0.012
#> BA9ABEB1-D3F0-4F09-A647-25211C47C3D0 2 0.0000 0.9107 0.000 1.000 0.000 0.000
#> 9E41E79A-4028-4F60-8250-411F191B665C 1 0.0188 0.8338 0.996 0.000 0.000 0.004
#> 5F1D3EFD-ECDA-4C92-8D81-491484F09C95 3 0.4998 0.3394 0.000 0.000 0.512 0.488
#> 0DBA04CB-417D-4E2B-BE83-3563F45291C4 1 0.0336 0.8331 0.992 0.000 0.008 0.000
#> B9B882A5-194B-4F5C-B702-0CF71CA6D9D2 4 0.7587 0.4295 0.000 0.244 0.276 0.480
#> 67FE7638-B8F5-4631-B178-AC23B0382983 1 0.3569 0.7501 0.804 0.000 0.000 0.196
#> FE03FC2C-9A4E-4F89-8681-E33DFECCC692 2 0.2101 0.8616 0.060 0.928 0.012 0.000
#> 2B22B4B7-8A39-435C-BE3B-86FA84C8F941 4 0.5766 0.5183 0.000 0.192 0.104 0.704
#> 00844B35-C108-4AEC-A687-4A91A2F33E6D 1 0.0000 0.8338 1.000 0.000 0.000 0.000
#> C221EE7A-6343-4B6D-B322-0A2C0F0B29AF 1 0.1302 0.8314 0.956 0.000 0.000 0.044
#> B28A6D56-7654-4829-BF1F-657C3C2C10D8 1 0.0657 0.8348 0.984 0.000 0.004 0.012
#> F4C7BCEC-3CD4-4D9A-89EA-0ED58EA0DCFE 1 0.4830 0.5540 0.608 0.000 0.000 0.392
#> F06FBFAB-D143-47AE-BEE7-51B48164764F 3 0.7752 0.0490 0.360 0.236 0.404 0.000
#> 525F522B-E865-4479-AE65-510903ABF46F 4 0.7888 -0.2490 0.000 0.288 0.344 0.368
#> F0CB60E3-C412-46A2-918F-8C5C099AB224 4 0.4957 0.6057 0.012 0.000 0.320 0.668
#> 587F307F-6E1B-487E-8E47-A99AB43DC5B4 3 0.0779 0.6541 0.016 0.000 0.980 0.004
#> 883D9145-8414-4571-A3E1-516F03452C46 1 0.4343 0.6941 0.732 0.000 0.004 0.264
#> 4A917271-7EA0-4F43-B474-7F5EA756EB05 1 0.0336 0.8331 0.992 0.000 0.008 0.000
#> BB33015D-218C-4A1E-8839-95837D6E9B88 1 0.0817 0.8351 0.976 0.000 0.000 0.024
#> 021CC81F-710D-4EEA-B1D8-012A81715ACC 1 0.0895 0.8323 0.976 0.000 0.020 0.004
#> B00C4925-47E3-4442-ABEB-82D714A26587 4 0.2149 0.6666 0.000 0.000 0.088 0.912
#> F79B27D3-0426-47BB-9756-7E0759246E5E 2 0.1118 0.8891 0.000 0.964 0.036 0.000
#> 1F179559-D93E-491C-B499-64F86C31DAE0 4 0.0817 0.6577 0.000 0.000 0.024 0.976
#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 4 0.1302 0.6589 0.000 0.000 0.044 0.956
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 1 0.5378 0.1758 0.540 0.000 0.448 0.012
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 3 0.5466 0.1414 0.436 0.000 0.548 0.016
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 2 0.0000 0.9107 0.000 1.000 0.000 0.000
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 1 0.0927 0.8341 0.976 0.000 0.008 0.016
#> ED9794C0-AC60-4B54-8214-D26714871BBF 1 0.1557 0.8180 0.944 0.000 0.056 0.000
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 4 0.4820 0.6149 0.000 0.012 0.296 0.692
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 2 0.0188 0.9101 0.000 0.996 0.000 0.004
#> 18D816AF-394A-482F-B22E-896A43B1E481 2 0.0188 0.9101 0.000 0.996 0.000 0.004
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 3 0.7902 -0.2116 0.304 0.000 0.368 0.328
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 3 0.4585 0.1758 0.000 0.000 0.668 0.332
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 2 0.4985 -0.0123 0.000 0.532 0.000 0.468
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 3 0.4406 0.5676 0.000 0.000 0.700 0.300
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 4 0.0188 0.6527 0.004 0.000 0.000 0.996
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 4 0.0779 0.6569 0.000 0.016 0.004 0.980
#> 7E809698-2473-4EFE-B896-1637983EC596 4 0.4220 0.5473 0.000 0.248 0.004 0.748
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 3 0.4304 0.5298 0.000 0.000 0.716 0.284
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 3 0.4356 0.5707 0.000 0.000 0.708 0.292
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 2 0.0376 0.9087 0.000 0.992 0.004 0.004
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.1118 0.8269 0.964 0.000 0.036 0.000
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.0707 0.8313 0.980 0.000 0.020 0.000
#> 73F28A79-7D35-4FE9-849D-FFE681483928 4 0.0804 0.6544 0.012 0.000 0.008 0.980
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 1 0.2081 0.8018 0.916 0.000 0.084 0.000
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 3 0.4331 0.2909 0.000 0.000 0.712 0.288
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 1 0.3837 0.6578 0.776 0.000 0.224 0.000
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.0921 0.8951 0.000 0.972 0.028 0.000
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.0188 0.8335 0.996 0.000 0.004 0.000
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 1 0.2174 0.8210 0.928 0.000 0.020 0.052
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 1 0.4304 0.6760 0.716 0.000 0.000 0.284
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 1 0.4855 0.3180 0.600 0.000 0.400 0.000
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.4564 0.5476 0.000 0.000 0.672 0.328
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.0000 0.8338 1.000 0.000 0.000 0.000
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.0000 0.9107 0.000 1.000 0.000 0.000
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 4 0.0188 0.6557 0.000 0.000 0.004 0.996
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.0188 0.9092 0.004 0.996 0.000 0.000
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 4 0.6739 0.5210 0.000 0.216 0.172 0.612
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 4 0.5573 0.5664 0.000 0.028 0.368 0.604
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 1 0.7539 0.0891 0.492 0.000 0.256 0.252
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 4 0.5231 0.5587 0.000 0.012 0.384 0.604
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.0188 0.8335 0.996 0.000 0.004 0.000
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.3024 0.6384 0.000 0.000 0.852 0.148
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.3837 0.6598 0.776 0.000 0.224 0.000
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.2918 0.7766 0.876 0.116 0.000 0.008
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.2345 0.7909 0.900 0.000 0.100 0.000
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.0188 0.9101 0.000 0.996 0.000 0.004
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 4 0.4452 0.2416 0.008 0.000 0.260 0.732
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.0921 0.8324 0.972 0.000 0.000 0.028
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 1 0.4916 0.5029 0.576 0.000 0.000 0.424
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.0000 0.8338 1.000 0.000 0.000 0.000
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 4 0.2814 0.6630 0.000 0.000 0.132 0.868
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 4 0.5935 0.6126 0.000 0.080 0.256 0.664
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 4 0.2704 0.5609 0.124 0.000 0.000 0.876
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 4 0.4746 0.5762 0.000 0.000 0.368 0.632
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 3 0.4500 0.2163 0.000 0.000 0.684 0.316
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 4 0.4941 0.4995 0.000 0.000 0.436 0.564
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.1635 0.8242 0.948 0.000 0.044 0.008
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.2266 0.8014 0.912 0.000 0.084 0.004
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 4 0.0469 0.6557 0.000 0.000 0.012 0.988
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.0000 0.9107 0.000 1.000 0.000 0.000
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.0336 0.9091 0.000 0.992 0.000 0.008
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 4 0.3219 0.6539 0.000 0.000 0.164 0.836
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.2921 0.6361 0.000 0.000 0.860 0.140
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.0921 0.8944 0.028 0.972 0.000 0.000
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 4 0.5313 0.5643 0.000 0.016 0.376 0.608
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 4 0.4877 0.5373 0.000 0.000 0.408 0.592
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.6187 0.4678 0.108 0.236 0.656 0.000
#> CA356591-D24F-41A8-8C9A-1178C7781510 4 0.4830 0.5535 0.000 0.000 0.392 0.608
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.4746 0.5008 0.000 0.000 0.632 0.368
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.0000 0.8338 1.000 0.000 0.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 4 0.2074 0.65867 0.000 0.000 0.104 0.896 0.000
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.5532 0.56948 0.048 0.052 0.684 0.216 0.000
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#> A3B4DE21-DDF0-4468-A300-7BECBAFD0BCD 5 0.4346 0.37002 0.304 0.000 0.012 0.004 0.680
#> 0A03E593-6931-419C-AE47-51D75185C2C0 3 0.4879 0.47932 0.020 0.000 0.680 0.276 0.024
#> 2416A3DC-A563-4FD1-A139-0E6EF7185211 2 0.3710 0.68089 0.000 0.784 0.000 0.192 0.024
#> 18B29573-822C-405F-B793-DBC8924866CE 2 0.0000 0.90934 0.000 1.000 0.000 0.000 0.000
#> 994EC227-B239-4CEE-AC96-EB5CC0AF583E 1 0.1965 0.82287 0.904 0.000 0.000 0.000 0.096
#> 950933A3-5757-4914-9DC5-C220C2A455FD 4 0.4307 -0.12835 0.000 0.000 0.500 0.500 0.000
#> DBDFE95C-F941-407A-BE7D-D43D50143C4D 2 0.3209 0.73174 0.180 0.812 0.000 0.008 0.000
#> D024393C-29D0-41C4-AB86-7E94581FDD26 4 0.2127 0.66667 0.000 0.000 0.000 0.892 0.108
#> 4975AB35-93E5-400D-A429-CEA81BA89FFE 5 0.5046 -0.24288 0.468 0.000 0.032 0.000 0.500
#> 666ADCA2-1AE4-4843-B1C8-8EE29C44AE74 1 0.5236 0.55044 0.692 0.000 0.120 0.184 0.004
#> A8F79C08-3943-4707-ADCB-890A955B5394 2 0.0000 0.90934 0.000 1.000 0.000 0.000 0.000
#> A81614ED-14CB-4EBC-988E-F67FBCBF62D8 2 0.3916 0.61580 0.256 0.732 0.000 0.000 0.012
#> E27E65C8-5B57-4C91-9D20-C075AEA2F2C5 1 0.1430 0.81399 0.944 0.000 0.052 0.000 0.004
#> 745F18CA-080D-42FE-BAA6-89AD7E3D3408 4 0.5711 0.47675 0.000 0.016 0.120 0.660 0.204
#> E755A625-799D-4A39-9D56-080228E0B669 1 0.5542 0.59800 0.708 0.104 0.156 0.028 0.004
#> 3D94EFB8-94D4-4FDE-97D8-18A159279996 3 0.5154 0.39571 0.000 0.372 0.580 0.000 0.048
#> 3D305C2E-6C86-4684-AA2A-155291AB4CC3 1 0.2230 0.81598 0.884 0.000 0.000 0.000 0.116
#> E140052A-5434-4C44-9873-0318D1D272CA 2 0.0000 0.90934 0.000 1.000 0.000 0.000 0.000
#> 68E56692-D46D-4A27-86CD-717E10AADDDA 4 0.3932 0.44414 0.000 0.000 0.328 0.672 0.000
#> 00A0586E-5F05-47B3-925C-87E811B0893B 3 0.4201 0.35023 0.000 0.000 0.592 0.000 0.408
#> E2B019A7-7C95-40FE-800C-D30E9730825C 3 0.6618 0.38945 0.264 0.000 0.524 0.012 0.200
#> 1B9ABB69-5CC6-4B6B-ABBC-71CC3274C7F0 1 0.4376 0.76824 0.768 0.000 0.048 0.012 0.172
#> FAE396AA-3C3C-4AF9-953D-385C41B2DB5B 1 0.3735 0.74204 0.828 0.000 0.116 0.016 0.040
#> 6BE4397D-1E5B-4486-83B4-EE0EC146C805 2 0.1082 0.89376 0.000 0.964 0.008 0.028 0.000
#> EE38BD4E-5A08-4639-912F-04203F53762F 1 0.0324 0.83071 0.992 0.000 0.004 0.000 0.004
#> 4050E7F8-80B6-46F2-8FF0-D4EC313E975B 3 0.5998 0.23631 0.104 0.000 0.520 0.372 0.004
#> F3565161-FFBE-4138-9773-558DB386710C 1 0.2970 0.78861 0.828 0.000 0.004 0.000 0.168
#> BA9ABEB1-D3F0-4F09-A647-25211C47C3D0 2 0.0000 0.90934 0.000 1.000 0.000 0.000 0.000
#> 9E41E79A-4028-4F60-8250-411F191B665C 1 0.1892 0.82695 0.916 0.000 0.004 0.000 0.080
#> 5F1D3EFD-ECDA-4C92-8D81-491484F09C95 3 0.4657 0.47947 0.000 0.000 0.668 0.036 0.296
#> 0DBA04CB-417D-4E2B-BE83-3563F45291C4 1 0.0162 0.82976 0.996 0.000 0.000 0.000 0.004
#> B9B882A5-194B-4F5C-B702-0CF71CA6D9D2 4 0.1695 0.68510 0.000 0.044 0.008 0.940 0.008
#> 67FE7638-B8F5-4631-B178-AC23B0382983 5 0.4498 0.31969 0.280 0.000 0.032 0.000 0.688
#> FE03FC2C-9A4E-4F89-8681-E33DFECCC692 2 0.0290 0.90653 0.008 0.992 0.000 0.000 0.000
#> 2B22B4B7-8A39-435C-BE3B-86FA84C8F941 2 0.8300 -0.13160 0.000 0.392 0.188 0.224 0.196
#> 00844B35-C108-4AEC-A687-4A91A2F33E6D 1 0.2068 0.82410 0.904 0.000 0.004 0.000 0.092
#> C221EE7A-6343-4B6D-B322-0A2C0F0B29AF 1 0.4339 0.60362 0.652 0.000 0.012 0.000 0.336
#> B28A6D56-7654-4829-BF1F-657C3C2C10D8 1 0.4592 0.61483 0.644 0.000 0.024 0.000 0.332
#> F4C7BCEC-3CD4-4D9A-89EA-0ED58EA0DCFE 5 0.4995 0.46536 0.264 0.000 0.068 0.000 0.668
#> F06FBFAB-D143-47AE-BEE7-51B48164764F 3 0.6611 0.35776 0.012 0.356 0.476 0.000 0.156
#> 525F522B-E865-4479-AE65-510903ABF46F 3 0.6722 0.43443 0.000 0.272 0.488 0.008 0.232
#> F0CB60E3-C412-46A2-918F-8C5C099AB224 4 0.4577 0.45757 0.004 0.000 0.024 0.676 0.296
#> 587F307F-6E1B-487E-8E47-A99AB43DC5B4 3 0.3996 0.63675 0.040 0.000 0.800 0.148 0.012
#> 883D9145-8414-4571-A3E1-516F03452C46 5 0.3477 0.54929 0.112 0.000 0.056 0.000 0.832
#> 4A917271-7EA0-4F43-B474-7F5EA756EB05 1 0.0000 0.82891 1.000 0.000 0.000 0.000 0.000
#> BB33015D-218C-4A1E-8839-95837D6E9B88 1 0.2989 0.82256 0.872 0.000 0.044 0.004 0.080
#> 021CC81F-710D-4EEA-B1D8-012A81715ACC 1 0.2026 0.82347 0.928 0.000 0.044 0.012 0.016
#> B00C4925-47E3-4442-ABEB-82D714A26587 5 0.6724 0.23289 0.012 0.000 0.168 0.384 0.436
#> F79B27D3-0426-47BB-9756-7E0759246E5E 2 0.3164 0.79226 0.000 0.852 0.044 0.104 0.000
#> 1F179559-D93E-491C-B499-64F86C31DAE0 5 0.2889 0.62082 0.000 0.000 0.044 0.084 0.872
#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 5 0.5841 0.48281 0.000 0.000 0.148 0.256 0.596
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 3 0.5954 0.48403 0.192 0.000 0.592 0.000 0.216
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 1 0.4807 0.15944 0.532 0.000 0.448 0.000 0.020
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 2 0.0000 0.90934 0.000 1.000 0.000 0.000 0.000
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 1 0.1828 0.83192 0.936 0.000 0.032 0.004 0.028
#> ED9794C0-AC60-4B54-8214-D26714871BBF 1 0.0703 0.82529 0.976 0.000 0.024 0.000 0.000
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 4 0.4392 0.57288 0.000 0.004 0.048 0.748 0.200
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 2 0.0162 0.90812 0.000 0.996 0.000 0.004 0.000
#> 18D816AF-394A-482F-B22E-896A43B1E481 2 0.0000 0.90934 0.000 1.000 0.000 0.000 0.000
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 4 0.4985 0.10039 0.452 0.000 0.008 0.524 0.016
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 4 0.3424 0.54419 0.000 0.000 0.240 0.760 0.000
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 2 0.5044 -0.01100 0.000 0.504 0.000 0.464 0.032
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 3 0.4306 0.54313 0.000 0.000 0.660 0.012 0.328
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 5 0.4644 0.50171 0.000 0.000 0.040 0.280 0.680
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 5 0.5925 0.57184 0.000 0.076 0.076 0.168 0.680
#> 7E809698-2473-4EFE-B896-1637983EC596 5 0.7630 0.42275 0.000 0.180 0.100 0.232 0.488
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 3 0.4054 0.63632 0.000 0.000 0.788 0.072 0.140
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 3 0.3039 0.64936 0.000 0.000 0.836 0.012 0.152
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 2 0.0963 0.89176 0.000 0.964 0.000 0.036 0.000
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.1571 0.81233 0.936 0.000 0.060 0.000 0.004
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.0290 0.82831 0.992 0.000 0.008 0.000 0.000
#> 73F28A79-7D35-4FE9-849D-FFE681483928 5 0.6338 0.42165 0.004 0.000 0.172 0.292 0.532
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 1 0.1357 0.81574 0.948 0.000 0.048 0.000 0.004
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 4 0.3109 0.56115 0.000 0.000 0.200 0.800 0.000
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 1 0.4141 0.60725 0.728 0.000 0.248 0.000 0.024
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.1197 0.88171 0.000 0.952 0.000 0.048 0.000
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.1341 0.83045 0.944 0.000 0.000 0.000 0.056
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 1 0.3844 0.75925 0.788 0.000 0.004 0.028 0.180
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 5 0.3745 0.47074 0.196 0.000 0.024 0.000 0.780
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 1 0.5631 0.40635 0.588 0.000 0.344 0.044 0.024
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.3355 0.62349 0.000 0.000 0.804 0.012 0.184
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.1410 0.83013 0.940 0.000 0.000 0.000 0.060
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.0000 0.90934 0.000 1.000 0.000 0.000 0.000
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 5 0.5847 0.46944 0.000 0.000 0.144 0.264 0.592
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.1630 0.88105 0.016 0.944 0.036 0.004 0.000
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 4 0.6485 0.48907 0.000 0.204 0.160 0.600 0.036
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 4 0.1341 0.68443 0.000 0.000 0.000 0.944 0.056
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 4 0.6504 0.14937 0.220 0.000 0.004 0.516 0.260
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 4 0.0955 0.69163 0.000 0.000 0.028 0.968 0.004
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.0609 0.83210 0.980 0.000 0.000 0.000 0.020
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.1728 0.68015 0.004 0.000 0.940 0.036 0.020
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.3013 0.75591 0.832 0.000 0.160 0.000 0.008
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.3586 0.78010 0.828 0.096 0.000 0.000 0.076
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.2358 0.79830 0.888 0.000 0.104 0.000 0.008
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.0000 0.90934 0.000 1.000 0.000 0.000 0.000
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 5 0.4359 0.20180 0.000 0.000 0.412 0.004 0.584
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.1331 0.83273 0.952 0.000 0.008 0.000 0.040
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 5 0.1990 0.61549 0.012 0.004 0.052 0.004 0.928
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.1357 0.83170 0.948 0.000 0.004 0.000 0.048
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 4 0.5841 0.35346 0.000 0.000 0.148 0.596 0.256
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 4 0.4696 0.61547 0.000 0.032 0.068 0.772 0.128
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 5 0.3541 0.61943 0.020 0.000 0.012 0.144 0.824
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 4 0.2648 0.63931 0.000 0.000 0.000 0.848 0.152
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 4 0.3048 0.58390 0.000 0.000 0.176 0.820 0.004
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 4 0.2020 0.65299 0.000 0.000 0.100 0.900 0.000
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.3550 0.72732 0.760 0.000 0.004 0.000 0.236
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.5617 0.58439 0.636 0.004 0.116 0.000 0.244
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 5 0.5413 0.55979 0.000 0.000 0.172 0.164 0.664
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.0000 0.90934 0.000 1.000 0.000 0.000 0.000
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.0000 0.90934 0.000 1.000 0.000 0.000 0.000
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 4 0.6439 -0.13485 0.000 0.000 0.176 0.420 0.404
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.3213 0.66982 0.000 0.004 0.860 0.072 0.064
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.0162 0.90803 0.004 0.996 0.000 0.000 0.000
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 4 0.1768 0.68234 0.000 0.000 0.004 0.924 0.072
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 4 0.0566 0.68854 0.000 0.000 0.012 0.984 0.004
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.3812 0.61495 0.024 0.204 0.772 0.000 0.000
#> CA356591-D24F-41A8-8C9A-1178C7781510 4 0.1357 0.68855 0.000 0.000 0.004 0.948 0.048
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.3707 0.54473 0.000 0.000 0.716 0.000 0.284
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.1732 0.82709 0.920 0.000 0.000 0.000 0.080
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 6 0.2633 0.7223 0.000 0.000 0.104 0.032 0.000 0.864
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.4317 0.6211 0.020 0.004 0.748 0.004 0.036 0.188
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 4 0.5483 0.3643 0.040 0.000 0.040 0.596 0.012 0.312
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.0000 0.9058 0.000 1.000 0.000 0.000 0.000 0.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 6 0.6713 0.5041 0.100 0.000 0.112 0.220 0.016 0.552
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 5 0.4883 0.5049 0.088 0.248 0.008 0.000 0.656 0.000
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 6 0.4230 0.6300 0.000 0.000 0.056 0.224 0.004 0.716
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 6 0.5508 0.3674 0.008 0.000 0.000 0.284 0.136 0.572
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.1728 0.8678 0.000 0.924 0.000 0.004 0.008 0.064
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.0000 0.9058 0.000 1.000 0.000 0.000 0.000 0.000
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.0405 0.9052 0.004 0.988 0.000 0.008 0.000 0.000
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.4023 0.6692 0.000 0.000 0.752 0.188 0.052 0.008
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.3163 0.6773 0.808 0.000 0.172 0.000 0.012 0.008
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.0520 0.9043 0.000 0.984 0.000 0.008 0.000 0.008
#> ECB2DF14-CF68-44D4-8719-973AE448B992 4 0.5104 0.5887 0.008 0.000 0.172 0.656 0.164 0.000
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 6 0.5204 0.1687 0.000 0.000 0.008 0.072 0.392 0.528
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 3 0.2740 0.6864 0.000 0.000 0.852 0.028 0.120 0.000
#> 3282F146-2782-4877-9EFE-6020AC277A8C 6 0.1296 0.7375 0.000 0.000 0.004 0.032 0.012 0.952
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 4 0.4301 0.6653 0.004 0.000 0.004 0.748 0.144 0.100
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 5 0.4938 0.5575 0.000 0.172 0.060 0.060 0.708 0.000
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.0000 0.9058 0.000 1.000 0.000 0.000 0.000 0.000
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 5 0.3467 0.6116 0.000 0.016 0.020 0.120 0.828 0.016
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.0260 0.9051 0.000 0.992 0.000 0.008 0.000 0.000
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 5 0.3750 0.5768 0.016 0.000 0.200 0.020 0.764 0.000
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 4 0.1716 0.7161 0.000 0.000 0.028 0.932 0.036 0.004
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 4 0.2680 0.7120 0.000 0.000 0.056 0.868 0.076 0.000
#> C945DDA9-0194-46F4-89E2-13883284D5A4 4 0.5202 0.1588 0.000 0.000 0.032 0.532 0.036 0.400
#> 79B11925-9772-474F-A729-D00315959710 1 0.2664 0.7234 0.816 0.000 0.000 0.000 0.184 0.000
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 6 0.6764 0.2895 0.036 0.164 0.004 0.288 0.016 0.492
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#> A8F79C08-3943-4707-ADCB-890A955B5394 2 0.0146 0.9055 0.000 0.996 0.000 0.004 0.000 0.000
#> A81614ED-14CB-4EBC-988E-F67FBCBF62D8 2 0.3190 0.6819 0.220 0.772 0.000 0.000 0.008 0.000
#> E27E65C8-5B57-4C91-9D20-C075AEA2F2C5 1 0.1745 0.7740 0.924 0.000 0.020 0.000 0.056 0.000
#> 745F18CA-080D-42FE-BAA6-89AD7E3D3408 4 0.5089 0.4656 0.032 0.004 0.008 0.644 0.028 0.284
#> E755A625-799D-4A39-9D56-080228E0B669 1 0.4824 0.5486 0.708 0.184 0.084 0.000 0.004 0.020
#> 3D94EFB8-94D4-4FDE-97D8-18A159279996 3 0.4481 0.6578 0.000 0.128 0.732 0.004 0.132 0.004
#> 3D305C2E-6C86-4684-AA2A-155291AB4CC3 1 0.3723 0.6691 0.736 0.000 0.004 0.004 0.244 0.012
#> E140052A-5434-4C44-9873-0318D1D272CA 2 0.0000 0.9058 0.000 1.000 0.000 0.000 0.000 0.000
#> 68E56692-D46D-4A27-86CD-717E10AADDDA 6 0.5166 0.2102 0.000 0.000 0.384 0.092 0.000 0.524
#> 00A0586E-5F05-47B3-925C-87E811B0893B 3 0.5911 0.3697 0.000 0.000 0.468 0.280 0.252 0.000
#> E2B019A7-7C95-40FE-800C-D30E9730825C 3 0.7546 0.4516 0.176 0.000 0.460 0.192 0.148 0.024
#> 1B9ABB69-5CC6-4B6B-ABBC-71CC3274C7F0 1 0.5591 0.5434 0.608 0.000 0.088 0.012 0.272 0.020
#> FAE396AA-3C3C-4AF9-953D-385C41B2DB5B 1 0.4678 0.4194 0.632 0.000 0.020 0.324 0.016 0.008
#> 6BE4397D-1E5B-4486-83B4-EE0EC146C805 2 0.0862 0.9006 0.004 0.972 0.000 0.016 0.000 0.008
#> EE38BD4E-5A08-4639-912F-04203F53762F 1 0.1440 0.7748 0.944 0.000 0.004 0.004 0.044 0.004
#> 4050E7F8-80B6-46F2-8FF0-D4EC313E975B 3 0.7493 0.4220 0.240 0.000 0.440 0.156 0.016 0.148
#> F3565161-FFBE-4138-9773-558DB386710C 1 0.4109 0.4222 0.596 0.000 0.000 0.004 0.392 0.008
#> BA9ABEB1-D3F0-4F09-A647-25211C47C3D0 2 0.0000 0.9058 0.000 1.000 0.000 0.000 0.000 0.000
#> 9E41E79A-4028-4F60-8250-411F191B665C 1 0.2100 0.7617 0.884 0.000 0.000 0.004 0.112 0.000
#> 5F1D3EFD-ECDA-4C92-8D81-491484F09C95 4 0.3384 0.6024 0.008 0.000 0.168 0.800 0.024 0.000
#> 0DBA04CB-417D-4E2B-BE83-3563F45291C4 1 0.1700 0.7718 0.916 0.000 0.000 0.000 0.080 0.004
#> B9B882A5-194B-4F5C-B702-0CF71CA6D9D2 6 0.3498 0.7373 0.008 0.036 0.048 0.024 0.028 0.856
#> 67FE7638-B8F5-4631-B178-AC23B0382983 5 0.4173 0.6639 0.084 0.000 0.064 0.064 0.788 0.000
#> FE03FC2C-9A4E-4F89-8681-E33DFECCC692 2 0.0858 0.8964 0.028 0.968 0.000 0.004 0.000 0.000
#> 2B22B4B7-8A39-435C-BE3B-86FA84C8F941 4 0.4897 0.6273 0.000 0.136 0.080 0.736 0.020 0.028
#> 00844B35-C108-4AEC-A687-4A91A2F33E6D 1 0.3615 0.6038 0.700 0.000 0.000 0.000 0.292 0.008
#> C221EE7A-6343-4B6D-B322-0A2C0F0B29AF 5 0.4203 0.2564 0.376 0.000 0.004 0.008 0.608 0.004
#> B28A6D56-7654-4829-BF1F-657C3C2C10D8 5 0.3523 0.5842 0.180 0.000 0.040 0.000 0.780 0.000
#> F4C7BCEC-3CD4-4D9A-89EA-0ED58EA0DCFE 4 0.5424 0.4483 0.216 0.000 0.008 0.608 0.168 0.000
#> F06FBFAB-D143-47AE-BEE7-51B48164764F 3 0.5630 0.4734 0.012 0.192 0.588 0.000 0.208 0.000
#> 525F522B-E865-4479-AE65-510903ABF46F 2 0.6667 -0.1345 0.000 0.420 0.364 0.152 0.064 0.000
#> F0CB60E3-C412-46A2-918F-8C5C099AB224 6 0.5286 0.6142 0.028 0.000 0.008 0.124 0.156 0.684
#> 587F307F-6E1B-487E-8E47-A99AB43DC5B4 3 0.3113 0.6921 0.012 0.000 0.856 0.004 0.076 0.052
#> 883D9145-8414-4571-A3E1-516F03452C46 5 0.2077 0.6715 0.008 0.000 0.040 0.024 0.920 0.008
#> 4A917271-7EA0-4F43-B474-7F5EA756EB05 1 0.1610 0.7686 0.916 0.000 0.000 0.000 0.084 0.000
#> BB33015D-218C-4A1E-8839-95837D6E9B88 1 0.5221 0.6348 0.708 0.000 0.124 0.080 0.084 0.004
#> 021CC81F-710D-4EEA-B1D8-012A81715ACC 1 0.4029 0.7205 0.804 0.000 0.084 0.012 0.076 0.024
#> B00C4925-47E3-4442-ABEB-82D714A26587 4 0.2765 0.7183 0.004 0.000 0.044 0.884 0.024 0.044
#> F79B27D3-0426-47BB-9756-7E0759246E5E 2 0.3678 0.7319 0.000 0.788 0.084 0.000 0.000 0.128
#> 1F179559-D93E-491C-B499-64F86C31DAE0 5 0.4718 0.5278 0.000 0.000 0.032 0.172 0.720 0.076
#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 4 0.3962 0.7025 0.000 0.000 0.020 0.788 0.120 0.072
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 3 0.3934 0.5419 0.032 0.000 0.708 0.000 0.260 0.000
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 1 0.6121 0.1651 0.488 0.000 0.364 0.052 0.096 0.000
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 2 0.0000 0.9058 0.000 1.000 0.000 0.000 0.000 0.000
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 1 0.3911 0.7355 0.812 0.000 0.048 0.024 0.100 0.016
#> ED9794C0-AC60-4B54-8214-D26714871BBF 1 0.1049 0.7727 0.960 0.000 0.008 0.000 0.032 0.000
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 6 0.3776 0.6392 0.000 0.000 0.000 0.188 0.052 0.760
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 2 0.0291 0.9055 0.000 0.992 0.000 0.004 0.000 0.004
#> 18D816AF-394A-482F-B22E-896A43B1E481 2 0.0146 0.9055 0.000 0.996 0.000 0.004 0.000 0.000
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 6 0.5006 0.5095 0.292 0.000 0.000 0.044 0.032 0.632
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 6 0.4553 0.4592 0.000 0.000 0.328 0.052 0.000 0.620
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 2 0.3722 0.6853 0.004 0.764 0.000 0.196 0.000 0.036
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 3 0.5422 0.6202 0.000 0.000 0.632 0.124 0.220 0.024
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 4 0.5562 0.4003 0.004 0.000 0.000 0.520 0.344 0.132
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 4 0.5735 0.5381 0.000 0.052 0.012 0.596 0.288 0.052
#> 7E809698-2473-4EFE-B896-1637983EC596 4 0.5427 0.6265 0.000 0.172 0.032 0.692 0.064 0.040
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 3 0.4670 0.5699 0.000 0.000 0.640 0.308 0.020 0.032
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 3 0.4293 0.6000 0.000 0.000 0.672 0.292 0.024 0.012
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 2 0.2416 0.7976 0.000 0.844 0.000 0.000 0.000 0.156
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.1231 0.7639 0.960 0.000 0.012 0.012 0.012 0.004
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.0862 0.7712 0.972 0.000 0.004 0.008 0.016 0.000
#> 73F28A79-7D35-4FE9-849D-FFE681483928 4 0.2922 0.7084 0.028 0.000 0.060 0.876 0.028 0.008
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 1 0.1442 0.7606 0.944 0.000 0.040 0.004 0.012 0.000
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 6 0.2442 0.6952 0.000 0.000 0.144 0.004 0.000 0.852
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 1 0.4215 0.5830 0.700 0.000 0.244 0.000 0.056 0.000
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.1802 0.8626 0.000 0.916 0.012 0.000 0.000 0.072
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.2006 0.7628 0.892 0.000 0.000 0.004 0.104 0.000
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 1 0.5496 0.5040 0.624 0.000 0.004 0.040 0.260 0.072
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 5 0.2426 0.6751 0.048 0.000 0.012 0.044 0.896 0.000
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 3 0.7110 -0.1627 0.300 0.000 0.324 0.004 0.316 0.056
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.3629 0.6120 0.000 0.000 0.712 0.276 0.012 0.000
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.1858 0.7664 0.904 0.000 0.000 0.004 0.092 0.000
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.0405 0.9051 0.000 0.988 0.004 0.008 0.000 0.000
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 4 0.1426 0.7179 0.000 0.000 0.016 0.948 0.028 0.008
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.2121 0.8472 0.096 0.892 0.012 0.000 0.000 0.000
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 4 0.5825 0.5645 0.032 0.172 0.084 0.672 0.016 0.024
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 6 0.1909 0.7314 0.004 0.000 0.000 0.052 0.024 0.920
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 5 0.5424 0.0598 0.040 0.000 0.000 0.040 0.460 0.460
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 6 0.2495 0.7417 0.032 0.000 0.016 0.060 0.000 0.892
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.1471 0.7719 0.932 0.000 0.000 0.004 0.064 0.000
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.4644 0.5632 0.052 0.000 0.628 0.316 0.004 0.000
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.5217 0.5621 0.608 0.000 0.232 0.000 0.160 0.000
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.4236 0.7033 0.756 0.064 0.000 0.004 0.164 0.012
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.4143 0.7168 0.756 0.000 0.120 0.004 0.120 0.000
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.0622 0.9029 0.000 0.980 0.000 0.000 0.012 0.008
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 4 0.2651 0.6783 0.004 0.000 0.088 0.872 0.036 0.000
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.1858 0.7433 0.912 0.000 0.000 0.076 0.012 0.000
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 5 0.4157 0.3152 0.000 0.008 0.004 0.360 0.624 0.004
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.1531 0.7714 0.928 0.000 0.000 0.004 0.068 0.000
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 4 0.3006 0.7003 0.012 0.000 0.028 0.856 0.004 0.100
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 6 0.5632 0.2068 0.008 0.048 0.008 0.400 0.020 0.516
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 4 0.4788 0.4579 0.004 0.000 0.016 0.588 0.368 0.024
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 6 0.2320 0.7254 0.000 0.000 0.004 0.080 0.024 0.892
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 6 0.2653 0.6868 0.000 0.000 0.144 0.012 0.000 0.844
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 6 0.1644 0.7230 0.000 0.000 0.076 0.004 0.000 0.920
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 5 0.4080 0.0767 0.456 0.000 0.008 0.000 0.536 0.000
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 5 0.5077 -0.0140 0.464 0.000 0.064 0.004 0.468 0.000
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 4 0.2085 0.7193 0.000 0.000 0.024 0.912 0.056 0.008
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.0000 0.9058 0.000 1.000 0.000 0.000 0.000 0.000
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.0363 0.9047 0.000 0.988 0.000 0.012 0.000 0.000
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 4 0.4604 0.6813 0.000 0.000 0.052 0.744 0.064 0.140
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.3979 0.6239 0.000 0.000 0.708 0.264 0.008 0.020
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.0146 0.9054 0.000 0.996 0.000 0.000 0.004 0.000
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 6 0.2824 0.7451 0.004 0.008 0.044 0.048 0.012 0.884
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 6 0.1364 0.7337 0.000 0.000 0.048 0.004 0.004 0.944
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.3587 0.6664 0.012 0.164 0.796 0.000 0.024 0.004
#> CA356591-D24F-41A8-8C9A-1178C7781510 6 0.1908 0.7390 0.000 0.000 0.020 0.044 0.012 0.924
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.4173 0.6224 0.000 0.000 0.712 0.228 0.060 0.000
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.2597 0.7280 0.824 0.000 0.000 0.000 0.176 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["CV", "hclust"]
# you can also extract it by
# res = res_list["CV:hclust"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#> On a matrix with 17888 rows and 430 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 5.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.285 0.712 0.856 0.2690 0.874 0.874
#> 3 3 0.132 0.521 0.753 0.7004 0.692 0.651
#> 4 4 0.170 0.524 0.725 0.2015 0.884 0.806
#> 5 5 0.221 0.527 0.709 0.1201 0.932 0.865
#> 6 6 0.256 0.475 0.689 0.0717 0.965 0.923
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 5
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
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 2 0.1184 0.83050 0.016 0.984
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 2 0.2603 0.82884 0.044 0.956
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 2 0.1843 0.83261 0.028 0.972
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.9427 0.44315 0.360 0.640
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 2 0.0376 0.82837 0.004 0.996
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 2 0.8016 0.70703 0.244 0.756
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 2 0.0672 0.82813 0.008 0.992
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 2 0.1184 0.83085 0.016 0.984
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.9087 0.50248 0.324 0.676
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.9795 0.26869 0.416 0.584
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.6623 0.76333 0.172 0.828
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 2 0.1414 0.82932 0.020 0.980
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.1633 0.74187 0.976 0.024
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.7674 0.70065 0.224 0.776
#> ECB2DF14-CF68-44D4-8719-973AE448B992 2 0.4939 0.81779 0.108 0.892
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 2 0.2043 0.83286 0.032 0.968
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 2 0.4562 0.81629 0.096 0.904
#> 3282F146-2782-4877-9EFE-6020AC277A8C 2 0.0672 0.82813 0.008 0.992
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 2 0.3584 0.82427 0.068 0.932
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 2 0.5059 0.82254 0.112 0.888
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.7528 0.69487 0.216 0.784
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 2 0.4022 0.82721 0.080 0.920
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.8661 0.59575 0.288 0.712
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 2 0.4815 0.81223 0.104 0.896
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 2 0.3114 0.82531 0.056 0.944
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 2 0.2043 0.83239 0.032 0.968
#> C945DDA9-0194-46F4-89E2-13883284D5A4 2 0.0376 0.82803 0.004 0.996
#> 79B11925-9772-474F-A729-D00315959710 2 0.9795 0.22514 0.416 0.584
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 2 0.1414 0.82939 0.020 0.980
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 2 0.6531 0.76019 0.168 0.832
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 2 0.3584 0.82427 0.068 0.932
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 2 0.4298 0.81861 0.088 0.912
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.2236 0.83389 0.036 0.964
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 2 0.4815 0.81092 0.104 0.896
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 2 0.1184 0.83030 0.016 0.984
#> 26796E5F-C0C2-466C-9012-882F6D29C149 2 0.0376 0.82803 0.004 0.996
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 2 0.7299 0.72649 0.204 0.796
#> 1492D21A-6458-4B49-B530-7A327FCDD031 2 0.5059 0.80801 0.112 0.888
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 2 0.5408 0.80131 0.124 0.876
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 2 0.5842 0.78892 0.140 0.860
#> B823982D-4102-4D21-B9CB-8C42830784F4 2 0.9970 -0.00721 0.468 0.532
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 2 0.5629 0.81068 0.132 0.868
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.8144 0.65762 0.252 0.748
#> E846120D-D9E6-46F8-9647-2272AB064072 2 0.9635 0.28021 0.388 0.612
#> 36880C8C-91A9-49A9-A2D5-957161737F31 1 0.3584 0.76524 0.932 0.068
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.9922 0.16572 0.448 0.552
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 2 0.6531 0.76823 0.168 0.832
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 2 0.6887 0.74261 0.184 0.816
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 2 0.5059 0.81670 0.112 0.888
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 2 0.6623 0.76588 0.172 0.828
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 2 0.0376 0.83006 0.004 0.996
#> 116F3F29-AB89-4F00-9003-559041E285EB 2 0.0672 0.82813 0.008 0.992
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.9833 0.25023 0.424 0.576
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 2 0.4022 0.82565 0.080 0.920
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 2 0.3114 0.82929 0.056 0.944
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 2 0.2603 0.83491 0.044 0.956
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 1 0.1633 0.74187 0.976 0.024
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 2 0.5629 0.79205 0.132 0.868
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 2 0.1633 0.83271 0.024 0.976
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.0672 0.72850 0.992 0.008
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 2 0.0938 0.82888 0.012 0.988
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.9970 0.08157 0.468 0.532
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 2 0.3733 0.83101 0.072 0.928
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 2 0.5629 0.80747 0.132 0.868
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 2 0.2236 0.83496 0.036 0.964
#> CD576099-5450-4232-9B59-08341BED8FFA 2 0.1633 0.83452 0.024 0.976
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 2 0.0938 0.82921 0.012 0.988
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 1 0.3431 0.76481 0.936 0.064
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 1 0.9988 0.23123 0.520 0.480
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 2 0.5737 0.78912 0.136 0.864
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 2 0.1184 0.83108 0.016 0.984
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 2 0.0938 0.82938 0.012 0.988
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 2 0.9427 0.41841 0.360 0.640
#> 57E380FC-B6AB-466F-9936-D52192888008 2 1.0000 -0.13995 0.496 0.504
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 2 0.0376 0.83006 0.004 0.996
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 2 0.9393 0.41494 0.356 0.644
#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 2 0.7745 0.67671 0.228 0.772
#> 1D4F0B66-720D-484D-B8D5-2B290ED208A8 2 0.0938 0.82938 0.012 0.988
#> C886CA33-5080-4E3E-88A2-F9A3CF03A857 2 0.2236 0.83313 0.036 0.964
#> 9AC963E4-F82D-460E-9CAD-C651B879780A 2 0.2778 0.82984 0.048 0.952
#> 1B6CF403-D0AE-4FFE-A884-660A58F32660 2 0.0672 0.82950 0.008 0.992
#> B33316E1-11FD-4C10-956A-C9C6F78508C5 2 0.6887 0.75380 0.184 0.816
#> BB02EF6A-C57D-4A79-99C1-ED43A72FFAF7 2 0.6623 0.75935 0.172 0.828
#> 4DBA59AD-9393-4BE6-88CB-852C62C4A334 2 0.0672 0.82813 0.008 0.992
#> 7887EDC4-A0D7-4E57-B3A1-330A5683457D 2 0.3584 0.82427 0.068 0.932
#> 2CD3AC14-46FB-4260-AE5C-4305C68D49BC 2 0.1633 0.83452 0.024 0.976
#> BAB8FA79-208A-488D-B955-806263E5D6BB 2 0.0672 0.82813 0.008 0.992
#> 98C990E7-7E3B-4200-A88D-E641931302EA 1 0.2948 0.75991 0.948 0.052
#> 894EE382-5ACA-4DEB-9267-99ADBEF6DA19 2 0.4815 0.81244 0.104 0.896
#> 98795F95-D26D-438A-AF46-B3BC3553F020 2 0.3114 0.83102 0.056 0.944
#> 9AD4C328-1554-4C92-931C-30CE8F305FDE 1 0.1633 0.74187 0.976 0.024
#> 4D1518D9-D968-4E7F-A702-5157A1A2E83E 1 0.7453 0.73969 0.788 0.212
#> A6E8AF8C-5D7B-4197-990B-786A869ACB96 2 0.6712 0.76555 0.176 0.824
#> DF8B4E19-8C78-4A68-8FAE-DFF01076BC97 2 0.4022 0.81681 0.080 0.920
#> 8D2C608F-3280-4CA2-B996-9AE3DBDBBD28 2 0.0938 0.83205 0.012 0.988
#> E7BCBD8D-1219-4A99-948A-47A258A5CD8B 2 0.0376 0.82837 0.004 0.996
#> 2C9633A5-8ACB-4D16-8120-F098BA14BB04 2 0.7674 0.67797 0.224 0.776
#> 985D9304-E4DA-4038-B235-067CBFEAC902 2 0.9775 0.28183 0.412 0.588
#> D34CE243-6F4F-4158-9FC4-77E1640E8A91 2 0.9896 0.19391 0.440 0.560
#> 65131575-48D3-42C2-B411-3DB871EF5EE1 2 0.3733 0.82927 0.072 0.928
#> 1AE13DFA-670C-43EE-9898-8FA831AEDDB3 2 0.0672 0.82813 0.008 0.992
#> 3ACDCD29-1B8D-455D-9EE9-D6C903B16D09 2 0.3584 0.82452 0.068 0.932
#> C6FBC35B-0113-4F00-BE1A-831D2C551055 2 0.3879 0.82911 0.076 0.924
#> A8F3285D-A85E-4E73-9D20-9D14AA51916B 2 0.0938 0.82938 0.012 0.988
#> 51601A73-2D75-4056-AEBB-8FF8DB813450 2 0.2236 0.83619 0.036 0.964
#> 75021778-A96B-4F57-8C26-68E8F33D7EB7 2 0.2043 0.83520 0.032 0.968
#> 71FFB439-22A1-4EBB-AEA6-A6BCA8CA6648 2 0.1414 0.83094 0.020 0.980
#> BEDB0135-0A26-44EF-9028-C4907403B110 2 0.0938 0.82900 0.012 0.988
#> 3B8BA56B-0E7B-4754-8729-8D613D0484E1 2 0.9661 0.26001 0.392 0.608
#> 100BF963-6103-45E6-A760-E44649580CF5 2 0.4939 0.82496 0.108 0.892
#> C26F21EA-5911-483F-BF64-03904BF93A20 2 0.5629 0.79779 0.132 0.868
#> 9E50162D-8149-41D2-86C1-1C892EB98DFA 2 0.3274 0.83092 0.060 0.940
#> 09521B29-B002-4AAD-93F1-6E600DD31515 2 0.4939 0.80237 0.108 0.892
#> 45FD44A6-7976-4453-BD3F-99D21DA3ECC2 2 0.7453 0.70514 0.212 0.788
#> 9EE0976F-1422-4F65-8837-93A192984CDF 2 0.0672 0.82838 0.008 0.992
#> 2FBAA1AA-39F7-4C58-A7DA-76B1F4B26B2E 2 0.9909 0.18018 0.444 0.556
#> B7A695A4-0B74-41E9-8662-4010C8CA38F0 2 0.3584 0.82452 0.068 0.932
#> E9013476-D037-41EA-921E-E9E62E93B75C 2 0.4939 0.80962 0.108 0.892
#> 13FD88E9-3B06-4CB6-949F-395DDDE4B75B 2 0.1633 0.83352 0.024 0.976
#> 9103E60E-D1FC-4F0F-B2CD-751921E14EBA 2 0.3114 0.82894 0.056 0.944
#> 4AEFB9F1-A55D-472E-A963-5BB3364D9D8C 2 0.4562 0.81099 0.096 0.904
#> 05B80211-2230-436E-BA34-FD48337A5DE0 2 0.5629 0.80425 0.132 0.868
#> 6B206166-85BC-4A1A-BDD2-B249652FC09E 2 0.8909 0.56278 0.308 0.692
#> 3EA60F08-5232-4A97-A656-2A0A2F5CED07 2 0.2948 0.83405 0.052 0.948
#> 9C55C086-682B-4D21-9C77-085CFE45A07E 2 0.1184 0.83085 0.016 0.984
#> B0CE5521-96E9-4087-89EE-309D785C0F96 2 0.4022 0.81715 0.080 0.920
#> 6BF76FE6-F1DA-48F2-B55D-CB106905EA8F 2 0.4562 0.81043 0.096 0.904
#> D2ECDADA-9D0D-4044-8C61-353CCE45C0E6 2 0.6531 0.77850 0.168 0.832
#> 9565D04D-EC61-4EF8-8519-0D84CFB0C794 2 0.8713 0.56968 0.292 0.708
#> EBAFE057-B387-4D2B-8D91-25C83221816D 2 0.8861 0.57395 0.304 0.696
#> 2CDB897D-ABAF-4EBB-837C-05CC7691D20E 2 0.3584 0.82427 0.068 0.932
#> FD2F4E8A-F89C-4016-B275-13FC6B4121E9 2 0.1184 0.83019 0.016 0.984
#> 1E27DDFF-D487-4CBF-80BC-506CC7C7C74D 2 0.0938 0.83013 0.012 0.988
#> 1DD990EF-74A8-4503-B801-C01D6C171E2E 2 0.9491 0.39184 0.368 0.632
#> 4D2DF3FF-343A-4D29-9230-015131B45BD2 2 0.6438 0.76509 0.164 0.836
#> B9949248-D762-4591-B8D6-C296C2B28D8C 2 0.4690 0.80893 0.100 0.900
#> 2D839843-4C8D-400D-8EFF-2BF9B94A27AA 2 0.4161 0.82854 0.084 0.916
#> 78C429CC-D631-43EA-9049-DAC326C98BDD 2 0.3431 0.82612 0.064 0.936
#> 71241674-DF93-4CA0-A81D-AF85B6479F62 2 0.1184 0.83108 0.016 0.984
#> 76277FC9-E447-49A4-9407-81917C90ECBD 2 0.8763 0.58876 0.296 0.704
#> 79DE0216-2CBB-4057-AC90-0366A494F106 2 0.8955 0.54626 0.312 0.688
#> 3B842084-AE30-4666-B80A-8FA36EF628F3 2 0.0672 0.83010 0.008 0.992
#> 57200367-96F1-48B9-AB7F-DC11EFE866C4 2 0.4298 0.82870 0.088 0.912
#> 219B7654-6065-41D3-964B-C829364CD87B 2 0.1414 0.83369 0.020 0.980
#> 26923D9B-CE8E-400E-93CD-E0EE1401CB9D 2 0.3274 0.83267 0.060 0.940
#> 21B783EB-B0D0-4B28-9468-D0B130D13E26 2 0.1843 0.83557 0.028 0.972
#> 67D465A4-8068-4325-ABC5-5917B7D726BB 2 0.6712 0.74648 0.176 0.824
#> 30A8ABA0-ECB4-4B44-9630-5FFF862A157F 2 0.9427 0.42801 0.360 0.640
#> 71040F61-834D-4A75-960D-5DABBCADD3A0 1 0.6148 0.76851 0.848 0.152
#> A4EC5E62-AF75-435A-903F-D35B171CEA2C 2 0.9129 0.49356 0.328 0.672
#> 2F6A0808-8F01-4721-938D-F1FC7C5D8357 2 0.2043 0.83160 0.032 0.968
#> F1A142BF-9737-442D-B9A1-AA03958916D8 2 0.3584 0.82707 0.068 0.932
#> 2DC1CF96-6822-412A-B002-3DC1239D17A7 2 0.1184 0.83050 0.016 0.984
#> 9C57AC2A-83C8-41EB-8DC3-9A897D8F8110 2 0.6801 0.76579 0.180 0.820
#> D22198BE-2B03-4A06-9EB6-696B67E8CEFB 2 0.0376 0.82837 0.004 0.996
#> 68BACBAD-DC56-4ADF-BB44-86750A866657 1 0.7674 0.70725 0.776 0.224
#> 7DFBA494-6746-4FF7-9948-FC9BA297F499 2 0.4690 0.81272 0.100 0.900
#> 00B39945-A227-46EB-B737-27D12370FE6A 2 0.2043 0.83292 0.032 0.968
#> 6FA15950-94D4-4D46-A0E5-45D899089443 2 0.2043 0.83149 0.032 0.968
#> DE451B99-D33B-4A35-BB0E-AAED631B56C3 2 0.2043 0.83149 0.032 0.968
#> 1DE68F26-5F22-4B90-A0F4-4775865D5E35 2 0.8861 0.56493 0.304 0.696
#> 7E84698B-0394-4498-A8D4-F3F96F49E669 2 0.9491 0.39184 0.368 0.632
#> D29F2335-9151-406E-8C3A-58AA99B7EB69 2 0.3584 0.82881 0.068 0.932
#> 92CEB4B5-0400-45DD-9DEE-E988CB4BB76D 2 0.1633 0.83305 0.024 0.976
#> 1848D6A6-9725-46BA-A953-CE76F6CC7684 2 0.5519 0.81128 0.128 0.872
#> F0B60FEF-0246-412D-8E1D-50E4A5F7790A 2 0.3431 0.83098 0.064 0.936
#> 763F284D-B99A-4646-A84C-5EFB15C07376 2 0.6531 0.76019 0.168 0.832
#> 994BE7F6-D486-4E45-9C4F-7AA200B04AED 2 0.4562 0.82125 0.096 0.904
#> 54C0AB23-0161-4346-AF6D-466B68B5AB79 2 0.7056 0.76184 0.192 0.808
#> 7A48C8F9-C13C-42AA-B7D2-C7618C6F81AA 2 0.9323 0.46112 0.348 0.652
#> 54C21CDF-5B83-4F88-8B00-6458A171BCE8 2 0.6247 0.79057 0.156 0.844
#> 063AEE90-0DBB-4B0F-A7F3-DE0600DEA9AD 2 0.3733 0.82632 0.072 0.928
#> 54B452B4-B06A-433F-A627-B2D2AFE048FE 2 0.5408 0.81652 0.124 0.876
#> 876D3927-036E-4BF9-AA43-DC1CAF39F6AA 2 0.4161 0.81968 0.084 0.916
#> 9CBEB375-516F-45EE-9A66-6EAB4E9DBD65 2 0.1184 0.83145 0.016 0.984
#> 039BECB9-7CEB-4057-9825-B3601C9CFC6B 2 0.2236 0.83124 0.036 0.964
#> 2CCA6EB5-C215-41A9-BCD6-6A77813D319C 2 0.1184 0.83019 0.016 0.984
#> 2CCA5192-4A24-4502-99DE-EC03B553A03D 2 0.5294 0.80990 0.120 0.880
#> 0D24351E-EBD6-4BD1-9A88-24DE07339221 2 0.0376 0.82803 0.004 0.996
#> 6F1E493F-EB93-4661-BD3D-51C934E8AAD2 2 0.2043 0.83419 0.032 0.968
#> 34091E7A-BBEB-4A71-BCEF-9CE85DA47841 2 0.1184 0.83019 0.016 0.984
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#> ED9794C0-AC60-4B54-8214-D26714871BBF 1 0.5629 0.77374 0.868 0.132
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 2 0.7139 0.74026 0.196 0.804
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 2 0.9522 0.40069 0.372 0.628
#> 18D816AF-394A-482F-B22E-896A43B1E481 2 0.9460 0.40191 0.364 0.636
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 2 0.6148 0.79622 0.152 0.848
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 2 0.0376 0.82837 0.004 0.996
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 2 0.7219 0.72694 0.200 0.800
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 2 0.2603 0.83471 0.044 0.956
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 2 0.2948 0.82583 0.052 0.948
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 2 0.2236 0.83486 0.036 0.964
#> 7E809698-2473-4EFE-B896-1637983EC596 2 0.4298 0.81588 0.088 0.912
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 2 0.0938 0.82888 0.012 0.988
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 2 0.1414 0.83039 0.020 0.980
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 2 0.2236 0.83197 0.036 0.964
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 2 0.9933 0.08624 0.452 0.548
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.5629 0.77356 0.868 0.132
#> 73F28A79-7D35-4FE9-849D-FFE681483928 2 0.2043 0.82693 0.032 0.968
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 2 0.9754 0.25307 0.408 0.592
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 2 0.0376 0.83006 0.004 0.996
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 2 0.9044 0.50158 0.320 0.680
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.9833 0.24227 0.424 0.576
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.2423 0.75368 0.960 0.040
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 2 0.8661 0.60507 0.288 0.712
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 2 0.6887 0.74261 0.184 0.816
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 2 0.9522 0.40943 0.372 0.628
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 2 0.0672 0.82881 0.008 0.992
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.3274 0.76324 0.940 0.060
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.9775 0.28839 0.412 0.588
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 2 0.3733 0.83237 0.072 0.928
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.9087 0.54213 0.324 0.676
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 2 0.1633 0.83092 0.024 0.976
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 2 0.2603 0.83028 0.044 0.956
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 2 0.6438 0.78368 0.164 0.836
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 2 0.1843 0.83235 0.028 0.972
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.5737 0.77299 0.864 0.136
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 2 0.2236 0.82609 0.036 0.964
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 2 0.9427 0.39559 0.360 0.640
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.9988 0.12512 0.520 0.480
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 2 0.8608 0.59201 0.284 0.716
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.9427 0.42801 0.360 0.640
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 2 0.2423 0.82612 0.040 0.960
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 2 0.6531 0.77491 0.168 0.832
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 2 0.6801 0.77481 0.180 0.820
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.8144 0.70457 0.748 0.252
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 2 0.2778 0.83744 0.048 0.952
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 2 0.1184 0.82896 0.016 0.984
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 2 0.5294 0.81530 0.120 0.880
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 2 0.0672 0.82813 0.008 0.992
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 2 0.0938 0.82938 0.012 0.988
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 2 0.0672 0.82813 0.008 0.992
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 2 0.7950 0.67554 0.240 0.760
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 2 0.6712 0.75893 0.176 0.824
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 2 0.3584 0.82427 0.068 0.932
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.4939 0.80444 0.108 0.892
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.4562 0.80941 0.096 0.904
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 2 0.0672 0.83032 0.008 0.992
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 2 0.2236 0.83124 0.036 0.964
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 1 0.9996 0.08526 0.512 0.488
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 2 0.2236 0.83438 0.036 0.964
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 2 0.0672 0.83130 0.008 0.992
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 2 0.3733 0.82538 0.072 0.928
#> CA356591-D24F-41A8-8C9A-1178C7781510 2 0.0938 0.82921 0.012 0.988
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 2 0.3114 0.82531 0.056 0.944
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.9909 0.33435 0.556 0.444
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 3 0.1289 0.74451 0.000 0.032 0.968
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.3325 0.74313 0.020 0.076 0.904
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 3 0.2810 0.75806 0.036 0.036 0.928
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 3 0.6468 -0.00957 0.004 0.444 0.552
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 3 0.1315 0.75017 0.020 0.008 0.972
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 3 0.9070 0.12708 0.292 0.172 0.536
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 3 0.1170 0.74761 0.008 0.016 0.976
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 3 0.2297 0.75655 0.036 0.020 0.944
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 3 0.6140 0.15997 0.000 0.404 0.596
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.6308 0.26334 0.000 0.508 0.492
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 3 0.5894 0.60025 0.028 0.220 0.752
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.2537 0.73675 0.080 0.000 0.920
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 2 0.3784 0.29371 0.132 0.864 0.004
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 3 0.5656 0.51284 0.004 0.284 0.712
#> ECB2DF14-CF68-44D4-8719-973AE448B992 3 0.7353 -0.16840 0.436 0.032 0.532
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 3 0.2096 0.74789 0.004 0.052 0.944
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 3 0.6867 0.29770 0.336 0.028 0.636
#> 3282F146-2782-4877-9EFE-6020AC277A8C 3 0.0592 0.74581 0.000 0.012 0.988
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 1 0.5138 0.65529 0.748 0.000 0.252
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 3 0.6857 0.53442 0.252 0.052 0.696
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 3 0.5431 0.49999 0.000 0.284 0.716
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 3 0.5092 0.67275 0.176 0.020 0.804
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 3 0.6339 0.30796 0.008 0.360 0.632
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 3 0.6522 0.47673 0.272 0.032 0.696
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 1 0.5621 0.63398 0.692 0.000 0.308
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 3 0.3120 0.74391 0.080 0.012 0.908
#> C945DDA9-0194-46F4-89E2-13883284D5A4 3 0.1411 0.74516 0.036 0.000 0.964
#> 79B11925-9772-474F-A729-D00315959710 1 0.9026 0.55079 0.556 0.248 0.196
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 3 0.1989 0.74549 0.004 0.048 0.948
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 3 0.8068 -0.29509 0.456 0.064 0.480
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 1 0.5138 0.65529 0.748 0.000 0.252
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.5138 0.65431 0.748 0.000 0.252
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 3 0.3155 0.75882 0.044 0.040 0.916
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 3 0.6630 0.43119 0.300 0.028 0.672
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.2261 0.74306 0.068 0.000 0.932
#> 26796E5F-C0C2-466C-9012-882F6D29C149 3 0.1482 0.75062 0.020 0.012 0.968
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 3 0.8570 -0.29225 0.428 0.096 0.476
#> 1492D21A-6458-4B49-B530-7A327FCDD031 3 0.7034 0.41868 0.284 0.048 0.668
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 1 0.5012 0.62884 0.788 0.008 0.204
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 3 0.4979 0.67913 0.020 0.168 0.812
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.9248 0.47182 0.516 0.296 0.188
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 1 0.9028 0.31381 0.436 0.132 0.432
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 3 0.6282 0.41429 0.012 0.324 0.664
#> E846120D-D9E6-46F8-9647-2272AB064072 1 0.6313 0.48079 0.768 0.148 0.084
#> 36880C8C-91A9-49A9-A2D5-957161737F31 2 0.5069 0.32012 0.128 0.828 0.044
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.6280 0.34523 0.000 0.540 0.460
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 3 0.5967 0.61024 0.032 0.216 0.752
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 1 0.8275 0.38105 0.472 0.076 0.452
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 3 0.6646 0.56954 0.240 0.048 0.712
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 3 0.6247 0.60629 0.044 0.212 0.744
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 3 0.1919 0.75329 0.024 0.020 0.956
#> 116F3F29-AB89-4F00-9003-559041E285EB 3 0.0592 0.74539 0.000 0.012 0.988
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.6308 0.27183 0.000 0.508 0.492
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 3 0.6337 0.52655 0.264 0.028 0.708
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 3 0.2625 0.73393 0.000 0.084 0.916
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 3 0.4136 0.72080 0.116 0.020 0.864
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 2 0.3784 0.29371 0.132 0.864 0.004
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 3 0.4749 0.67000 0.012 0.172 0.816
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 3 0.2269 0.75477 0.016 0.040 0.944
#> 299CB633-58A3-4275-BC08-E6F3669C365A 2 0.4235 0.26547 0.176 0.824 0.000
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 3 0.1860 0.74188 0.052 0.000 0.948
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.6451 0.38829 0.004 0.560 0.436
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 3 0.5660 0.63646 0.200 0.028 0.772
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 3 0.7213 0.47029 0.272 0.060 0.668
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 3 0.3134 0.75423 0.032 0.052 0.916
#> CD576099-5450-4232-9B59-08341BED8FFA 3 0.3141 0.75367 0.068 0.020 0.912
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 3 0.1647 0.74407 0.004 0.036 0.960
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 2 0.5431 0.24141 0.284 0.716 0.000
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 1 0.8475 0.41199 0.568 0.320 0.112
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 3 0.4645 0.66863 0.008 0.176 0.816
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 3 0.2031 0.75601 0.032 0.016 0.952
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 3 0.0892 0.74469 0.000 0.020 0.980
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 1 0.8926 0.58365 0.568 0.192 0.240
#> 57E380FC-B6AB-466F-9936-D52192888008 1 0.8196 0.39796 0.608 0.284 0.108
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 3 0.1919 0.75329 0.024 0.020 0.956
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 1 0.8873 0.59080 0.576 0.200 0.224
#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 3 0.8872 0.07794 0.156 0.288 0.556
#> 1D4F0B66-720D-484D-B8D5-2B290ED208A8 3 0.0892 0.74469 0.000 0.020 0.980
#> C886CA33-5080-4E3E-88A2-F9A3CF03A857 3 0.3445 0.73822 0.088 0.016 0.896
#> 9AC963E4-F82D-460E-9CAD-C651B879780A 3 0.2711 0.73281 0.000 0.088 0.912
#> 1B6CF403-D0AE-4FFE-A884-660A58F32660 3 0.1774 0.75101 0.016 0.024 0.960
#> B33316E1-11FD-4C10-956A-C9C6F78508C5 3 0.8337 -0.33811 0.444 0.080 0.476
#> BB02EF6A-C57D-4A79-99C1-ED43A72FFAF7 3 0.5201 0.59706 0.004 0.236 0.760
#> 4DBA59AD-9393-4BE6-88CB-852C62C4A334 3 0.1015 0.74950 0.012 0.008 0.980
#> 7887EDC4-A0D7-4E57-B3A1-330A5683457D 1 0.5098 0.65486 0.752 0.000 0.248
#> 2CD3AC14-46FB-4260-AE5C-4305C68D49BC 3 0.3141 0.75367 0.068 0.020 0.912
#> BAB8FA79-208A-488D-B955-806263E5D6BB 3 0.1170 0.74882 0.016 0.008 0.976
#> 98C990E7-7E3B-4200-A88D-E641931302EA 2 0.5216 0.24732 0.260 0.740 0.000
#> 894EE382-5ACA-4DEB-9267-99ADBEF6DA19 3 0.4209 0.71707 0.016 0.128 0.856
#> 98795F95-D26D-438A-AF46-B3BC3553F020 3 0.5348 0.66848 0.176 0.028 0.796
#> 9AD4C328-1554-4C92-931C-30CE8F305FDE 2 0.3784 0.29371 0.132 0.864 0.004
#> 4D1518D9-D968-4E7F-A702-5157A1A2E83E 2 0.7961 0.14096 0.336 0.588 0.076
#> A6E8AF8C-5D7B-4197-990B-786A869ACB96 3 0.8337 -0.28112 0.444 0.080 0.476
#> DF8B4E19-8C78-4A68-8FAE-DFF01076BC97 3 0.3532 0.72560 0.008 0.108 0.884
#> 8D2C608F-3280-4CA2-B996-9AE3DBDBBD28 3 0.1919 0.75373 0.024 0.020 0.956
#> E7BCBD8D-1219-4A99-948A-47A258A5CD8B 3 0.1636 0.75179 0.016 0.020 0.964
#> 2C9633A5-8ACB-4D16-8120-F098BA14BB04 3 0.5497 0.48485 0.000 0.292 0.708
#> 985D9304-E4DA-4038-B235-067CBFEAC902 3 0.6309 -0.23648 0.000 0.496 0.504
#> D34CE243-6F4F-4158-9FC4-77E1640E8A91 2 0.6291 0.32705 0.000 0.532 0.468
#> 65131575-48D3-42C2-B411-3DB871EF5EE1 3 0.5298 0.68049 0.164 0.032 0.804
#> 1AE13DFA-670C-43EE-9898-8FA831AEDDB3 3 0.0747 0.74461 0.000 0.016 0.984
#> 3ACDCD29-1B8D-455D-9EE9-D6C903B16D09 1 0.5254 0.65608 0.736 0.000 0.264
#> C6FBC35B-0113-4F00-BE1A-831D2C551055 3 0.5414 0.63321 0.212 0.016 0.772
#> A8F3285D-A85E-4E73-9D20-9D14AA51916B 3 0.0892 0.74469 0.000 0.020 0.980
#> 51601A73-2D75-4056-AEBB-8FF8DB813450 3 0.2918 0.75677 0.032 0.044 0.924
#> 75021778-A96B-4F57-8C26-68E8F33D7EB7 3 0.2550 0.76045 0.040 0.024 0.936
#> 71FFB439-22A1-4EBB-AEA6-A6BCA8CA6648 3 0.2945 0.74000 0.088 0.004 0.908
#> BEDB0135-0A26-44EF-9028-C4907403B110 3 0.1753 0.74270 0.048 0.000 0.952
#> 3B8BA56B-0E7B-4754-8729-8D613D0484E1 1 0.4931 0.40893 0.828 0.140 0.032
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#> 5E79792E-CE89-4ECF-BD4E-B12877E63949 3 0.1878 0.74873 0.044 0.004 0.952
#> E9DB46D8-5CE4-472C-8F21-9180F2D4C880 3 0.0829 0.74682 0.004 0.012 0.984
#> 7C712EF3-7368-4D97-BB9A-717CF8522C7F 3 0.3141 0.75162 0.068 0.020 0.912
#> 30312D82-4966-4EAA-A067-F91852FA8663 2 0.8085 0.39866 0.084 0.584 0.332
#> ECC62CBA-16AB-45F0-9C5A-72F302B4A188 3 0.6779 -0.08655 0.012 0.444 0.544
#> 5AF4899F-D8E1-4CB6-B3DC-F0C60C808838 3 0.3532 0.72560 0.008 0.108 0.884
#> BBCEA0D1-DE66-4C0C-8D3C-D1398D04B472 3 0.6200 0.43547 0.012 0.312 0.676
#> 154764CD-AC69-4F48-A212-8B27C076C91A 3 0.3370 0.75232 0.072 0.024 0.904
#> 33266777-E07B-49D0-9E24-2EDE2577CF16 1 0.8985 0.58234 0.564 0.216 0.220
#> 7DAE9720-3922-4680-9F95-75C029B7FDA9 3 0.3918 0.69771 0.004 0.140 0.856
#> 1BC2ECED-0425-4382-BB94-F57ED2687F18 1 0.9133 0.57246 0.524 0.172 0.304
#> 0901D931-77BE-47B0-AE5F-C26C6A144CA0 1 0.9133 0.57246 0.524 0.172 0.304
#> 77AFFD5F-F715-4242-95C9-5F36E061B3E2 1 0.5058 0.65289 0.756 0.000 0.244
#> FAB4A6D6-E978-4172-9FE1-79FC50C0F849 3 0.1170 0.74909 0.008 0.016 0.976
#> 32C4DF54-39DD-4F62-B938-82ED2A0E0FFD 3 0.6762 0.45265 0.288 0.036 0.676
#> 9911D83E-6DDF-4048-9A34-22BFA1D68BBD 3 0.1964 0.74592 0.056 0.000 0.944
#> 4BAC0A03-BB88-4D19-86F9-FF093330C9B3 3 0.7091 0.34539 0.040 0.320 0.640
#> 18F63ADA-1828-43DD-AE1F-F36706C204CD 3 0.1491 0.75237 0.016 0.016 0.968
#> 66729295-C0AA-42C7-92C9-05194EF02276 3 0.1753 0.74270 0.048 0.000 0.952
#> 4CCA3104-B557-403D-AC06-A6D4936DDC04 3 0.3091 0.75389 0.072 0.016 0.912
#> 77D4165E-7CB1-4D69-AFE5-C8D914531651 3 0.3987 0.73289 0.020 0.108 0.872
#> BA12A05A-622A-424D-8108-3F5916405EB0 3 0.3445 0.74805 0.088 0.016 0.896
#> DED4EA4D-9DC2-4419-83EC-2BFE75DC1830 3 0.5785 0.39123 0.000 0.332 0.668
#> 13A35364-57C5-4F5A-B077-3BA2689BFDD3 3 0.6407 0.66653 0.160 0.080 0.760
#> 2641B816-1D21-496E-85AD-1C690C9146A6 3 0.1860 0.74752 0.052 0.000 0.948
#> 96E2AD09-7287-4B91-840E-81444A61D56F 3 0.3551 0.70227 0.000 0.132 0.868
#> 62F3327F-FB16-4AD0-BCF5-B180F28281A9 3 0.7138 0.62901 0.120 0.160 0.720
#> 112F7032-0212-4939-9449-D67E3600CCD5 3 0.4784 0.63425 0.004 0.200 0.796
#> A3B4DE21-DDF0-4468-A300-7BECBAFD0BCD 1 0.7851 0.49024 0.532 0.056 0.412
#> 0A03E593-6931-419C-AE47-51D75185C2C0 3 0.3134 0.75422 0.032 0.052 0.916
#> 2416A3DC-A563-4FD1-A139-0E6EF7185211 3 0.6148 0.32151 0.004 0.356 0.640
#> 18B29573-822C-405F-B793-DBC8924866CE 2 0.6308 0.26334 0.000 0.508 0.492
#> 994EC227-B239-4CEE-AC96-EB5CC0AF583E 3 0.9162 0.16793 0.196 0.268 0.536
#> 950933A3-5757-4914-9DC5-C220C2A455FD 3 0.1781 0.75291 0.020 0.020 0.960
#> DBDFE95C-F941-407A-BE7D-D43D50143C4D 2 0.6451 0.38829 0.004 0.560 0.436
#> D024393C-29D0-41C4-AB86-7E94581FDD26 3 0.1031 0.74567 0.000 0.024 0.976
#> 4975AB35-93E5-400D-A429-CEA81BA89FFE 3 0.6665 0.46712 0.276 0.036 0.688
#> 666ADCA2-1AE4-4843-B1C8-8EE29C44AE74 3 0.8645 0.03484 0.344 0.116 0.540
#> A8F79C08-3943-4707-ADCB-890A955B5394 3 0.6264 0.55609 0.028 0.256 0.716
#> A81614ED-14CB-4EBC-988E-F67FBCBF62D8 3 0.6823 -0.24720 0.012 0.484 0.504
#> E27E65C8-5B57-4C91-9D20-C075AEA2F2C5 1 0.9792 0.47189 0.392 0.236 0.372
#> 745F18CA-080D-42FE-BAA6-89AD7E3D3408 3 0.5680 0.63710 0.024 0.212 0.764
#> E755A625-799D-4A39-9D56-080228E0B669 3 0.8264 -0.17014 0.076 0.436 0.488
#> 3D94EFB8-94D4-4FDE-97D8-18A159279996 3 0.4206 0.74982 0.088 0.040 0.872
#> 3D305C2E-6C86-4684-AA2A-155291AB4CC3 1 0.8876 0.58136 0.576 0.204 0.220
#> E140052A-5434-4C44-9873-0318D1D272CA 3 0.6180 0.11309 0.000 0.416 0.584
#> 68E56692-D46D-4A27-86CD-717E10AADDDA 3 0.0475 0.74739 0.004 0.004 0.992
#> 00A0586E-5F05-47B3-925C-87E811B0893B 3 0.3983 0.69103 0.144 0.004 0.852
#> E2B019A7-7C95-40FE-800C-D30E9730825C 3 0.8097 -0.01328 0.388 0.072 0.540
#> 1B9ABB69-5CC6-4B6B-ABBC-71CC3274C7F0 3 0.7712 0.04589 0.392 0.052 0.556
#> FAE396AA-3C3C-4AF9-953D-385C41B2DB5B 3 0.7728 0.40087 0.276 0.084 0.640
#> 6BE4397D-1E5B-4486-83B4-EE0EC146C805 3 0.6779 -0.10260 0.012 0.444 0.544
#> EE38BD4E-5A08-4639-912F-04203F53762F 2 0.8594 0.34113 0.144 0.588 0.268
#> 4050E7F8-80B6-46F2-8FF0-D4EC313E975B 3 0.1399 0.75211 0.028 0.004 0.968
#> F3565161-FFBE-4138-9773-558DB386710C 1 0.8873 0.59080 0.576 0.200 0.224
#> BA9ABEB1-D3F0-4F09-A647-25211C47C3D0 2 0.6308 0.26334 0.000 0.508 0.492
#> 9E41E79A-4028-4F60-8250-411F191B665C 1 0.8604 0.30913 0.540 0.348 0.112
#> 5F1D3EFD-ECDA-4C92-8D81-491484F09C95 3 0.2796 0.72456 0.092 0.000 0.908
#> 0DBA04CB-417D-4E2B-BE83-3563F45291C4 3 0.9252 -0.09136 0.356 0.164 0.480
#> B9B882A5-194B-4F5C-B702-0CF71CA6D9D2 3 0.3042 0.76111 0.040 0.040 0.920
#> 67FE7638-B8F5-4631-B178-AC23B0382983 3 0.8141 -0.36374 0.460 0.068 0.472
#> FE03FC2C-9A4E-4F89-8681-E33DFECCC692 3 0.6264 0.55018 0.028 0.256 0.716
#> 2B22B4B7-8A39-435C-BE3B-86FA84C8F941 3 0.1999 0.75305 0.012 0.036 0.952
#> 00844B35-C108-4AEC-A687-4A91A2F33E6D 1 0.8746 0.59056 0.588 0.184 0.228
#> C221EE7A-6343-4B6D-B322-0A2C0F0B29AF 1 0.8746 0.59056 0.588 0.184 0.228
#> B28A6D56-7654-4829-BF1F-657C3C2C10D8 3 0.9335 -0.08641 0.324 0.184 0.492
#> F4C7BCEC-3CD4-4D9A-89EA-0ED58EA0DCFE 1 0.5061 0.63705 0.784 0.008 0.208
#> F06FBFAB-D143-47AE-BEE7-51B48164764F 3 0.6201 0.61950 0.044 0.208 0.748
#> 525F522B-E865-4479-AE65-510903ABF46F 3 0.1919 0.75546 0.020 0.024 0.956
#> F0CB60E3-C412-46A2-918F-8C5C099AB224 1 0.6664 0.41359 0.528 0.008 0.464
#> 587F307F-6E1B-487E-8E47-A99AB43DC5B4 3 0.3120 0.74895 0.080 0.012 0.908
#> 883D9145-8414-4571-A3E1-516F03452C46 3 0.6126 0.51554 0.268 0.020 0.712
#> 4A917271-7EA0-4F43-B474-7F5EA756EB05 2 0.8743 -0.14462 0.372 0.512 0.116
#> BB33015D-218C-4A1E-8839-95837D6E9B88 3 0.6402 0.57545 0.236 0.040 0.724
#> 021CC81F-710D-4EEA-B1D8-012A81715ACC 3 0.9311 -0.41346 0.384 0.164 0.452
#> B00C4925-47E3-4442-ABEB-82D714A26587 1 0.5797 0.64144 0.712 0.008 0.280
#> F79B27D3-0426-47BB-9756-7E0759246E5E 3 0.5785 0.39123 0.000 0.332 0.668
#> 1F179559-D93E-491C-B499-64F86C31DAE0 3 0.6047 0.41390 0.312 0.008 0.680
#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 1 0.5497 0.64087 0.708 0.000 0.292
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 3 0.6522 0.47614 0.272 0.032 0.696
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 1 0.7901 0.42768 0.504 0.056 0.440
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 2 0.9666 0.33374 0.216 0.428 0.356
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 3 0.4609 0.72415 0.128 0.028 0.844
#> ED9794C0-AC60-4B54-8214-D26714871BBF 2 0.7139 0.26426 0.244 0.688 0.068
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 3 0.5378 0.58795 0.008 0.236 0.756
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 3 0.6274 -0.06570 0.000 0.456 0.544
#> 18D816AF-394A-482F-B22E-896A43B1E481 2 0.9579 0.34490 0.200 0.432 0.368
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 3 0.7931 0.33890 0.284 0.092 0.624
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 3 0.1129 0.74910 0.020 0.004 0.976
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 3 0.5325 0.57664 0.004 0.248 0.748
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 3 0.3755 0.72751 0.120 0.008 0.872
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 3 0.4521 0.66262 0.180 0.004 0.816
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 3 0.2663 0.75812 0.024 0.044 0.932
#> 7E809698-2473-4EFE-B896-1637983EC596 3 0.3921 0.72694 0.016 0.112 0.872
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 3 0.1643 0.74349 0.044 0.000 0.956
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 3 0.1964 0.74665 0.056 0.000 0.944
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 3 0.2625 0.72936 0.000 0.084 0.916
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 3 0.9633 -0.17540 0.216 0.340 0.444
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 2 0.7064 0.27931 0.220 0.704 0.076
#> 73F28A79-7D35-4FE9-849D-FFE681483928 3 0.4291 0.66012 0.180 0.000 0.820
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 3 0.9929 -0.40332 0.296 0.312 0.392
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 3 0.1919 0.75329 0.024 0.020 0.956
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 1 0.9335 0.58065 0.492 0.184 0.324
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.6516 0.30090 0.004 0.516 0.480
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 2 0.5058 0.24990 0.244 0.756 0.000
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 1 0.9395 0.44954 0.432 0.172 0.396
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 1 0.8273 0.39251 0.476 0.076 0.448
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 3 0.9820 -0.24832 0.296 0.276 0.428
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.1878 0.74756 0.044 0.004 0.952
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 2 0.5291 0.24507 0.268 0.732 0.000
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.6309 0.23089 0.000 0.500 0.500
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 3 0.4232 0.74652 0.044 0.084 0.872
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 3 0.7624 0.16797 0.052 0.368 0.580
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 3 0.2229 0.75087 0.012 0.044 0.944
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 3 0.2261 0.73993 0.000 0.068 0.932
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 3 0.6918 0.64368 0.136 0.128 0.736
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 3 0.1643 0.74549 0.000 0.044 0.956
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 2 0.7144 0.28015 0.220 0.700 0.080
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.2796 0.72456 0.092 0.000 0.908
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.9055 0.59509 0.552 0.196 0.252
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 2 0.8841 0.36948 0.136 0.536 0.328
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.8712 0.58886 0.556 0.132 0.312
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 3 0.6260 -0.03097 0.000 0.448 0.552
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 3 0.5882 0.27795 0.348 0.000 0.652
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 3 0.7948 0.36560 0.268 0.100 0.632
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 3 0.8559 -0.07917 0.388 0.100 0.512
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 2 0.8528 0.20057 0.240 0.604 0.156
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 3 0.4137 0.74617 0.096 0.032 0.872
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 3 0.1878 0.74574 0.004 0.044 0.952
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 3 0.6402 0.56447 0.236 0.040 0.724
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 3 0.0592 0.74581 0.000 0.012 0.988
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 3 0.1031 0.74360 0.000 0.024 0.976
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 3 0.0592 0.74581 0.000 0.012 0.988
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.8671 0.47266 0.480 0.104 0.416
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 3 0.8076 -0.07852 0.408 0.068 0.524
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 1 0.5138 0.65529 0.748 0.000 0.252
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 3 0.3941 0.68623 0.000 0.156 0.844
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 3 0.3551 0.70481 0.000 0.132 0.868
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 3 0.1753 0.74695 0.048 0.000 0.952
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.2651 0.75047 0.012 0.060 0.928
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.7997 0.43127 0.072 0.568 0.360
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 3 0.3042 0.75974 0.040 0.040 0.920
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 3 0.1919 0.75366 0.020 0.024 0.956
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.4056 0.74153 0.032 0.092 0.876
#> CA356591-D24F-41A8-8C9A-1178C7781510 3 0.1289 0.74231 0.000 0.032 0.968
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 1 0.5497 0.64087 0.708 0.000 0.292
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.8812 0.33031 0.516 0.360 0.124
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 3 0.1389 0.69759 0.000 0.048 0.952 0.000
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.3962 0.65760 0.028 0.152 0.820 0.000
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 3 0.2546 0.71274 0.028 0.060 0.912 0.000
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.5333 0.76610 0.008 0.624 0.360 0.008
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 3 0.1411 0.70546 0.020 0.020 0.960 0.000
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 3 0.8933 -0.21549 0.324 0.204 0.404 0.068
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 3 0.1004 0.70099 0.004 0.024 0.972 0.000
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 3 0.1936 0.71309 0.032 0.028 0.940 0.000
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.4977 0.56680 0.000 0.540 0.460 0.000
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.4406 0.81352 0.000 0.700 0.300 0.000
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 3 0.6031 0.17933 0.016 0.348 0.608 0.028
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.2363 0.70509 0.056 0.024 0.920 0.000
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 4 0.3182 0.74489 0.028 0.096 0.000 0.876
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 3 0.5161 0.00335 0.000 0.400 0.592 0.008
#> ECB2DF14-CF68-44D4-8719-973AE448B992 3 0.6551 -0.14702 0.456 0.048 0.484 0.012
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 3 0.2676 0.70050 0.012 0.092 0.896 0.000
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 3 0.6665 0.28409 0.332 0.044 0.592 0.032
#> 3282F146-2782-4877-9EFE-6020AC277A8C 3 0.1022 0.69900 0.000 0.032 0.968 0.000
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 1 0.4692 0.57061 0.780 0.040 0.176 0.004
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 3 0.6459 0.49603 0.280 0.076 0.632 0.012
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 3 0.4925 -0.13031 0.000 0.428 0.572 0.000
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#> B28A6D56-7654-4829-BF1F-657C3C2C10D8 3 0.9159 -0.33050 0.332 0.108 0.396 0.164
#> F4C7BCEC-3CD4-4D9A-89EA-0ED58EA0DCFE 1 0.4395 0.53850 0.816 0.044 0.132 0.008
#> F06FBFAB-D143-47AE-BEE7-51B48164764F 3 0.6204 0.31817 0.032 0.304 0.636 0.028
#> 525F522B-E865-4479-AE65-510903ABF46F 3 0.2142 0.70511 0.016 0.056 0.928 0.000
#> F0CB60E3-C412-46A2-918F-8C5C099AB224 1 0.6044 0.35319 0.528 0.044 0.428 0.000
#> 587F307F-6E1B-487E-8E47-A99AB43DC5B4 3 0.3128 0.70509 0.076 0.040 0.884 0.000
#> 883D9145-8414-4571-A3E1-516F03452C46 3 0.6080 0.46090 0.292 0.056 0.644 0.008
#> 4A917271-7EA0-4F43-B474-7F5EA756EB05 4 0.8044 0.32090 0.368 0.144 0.032 0.456
#> BB33015D-218C-4A1E-8839-95837D6E9B88 3 0.6392 0.52880 0.240 0.108 0.648 0.004
#> 021CC81F-710D-4EEA-B1D8-012A81715ACC 1 0.8833 0.43640 0.392 0.120 0.384 0.104
#> B00C4925-47E3-4442-ABEB-82D714A26587 1 0.5323 0.56413 0.728 0.052 0.216 0.004
#> F79B27D3-0426-47BB-9756-7E0759246E5E 3 0.4961 -0.22233 0.000 0.448 0.552 0.000
#> 1F179559-D93E-491C-B499-64F86C31DAE0 3 0.5658 0.39346 0.328 0.040 0.632 0.000
#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 1 0.5153 0.56653 0.732 0.040 0.224 0.004
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 3 0.6644 0.38637 0.292 0.084 0.612 0.012
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 1 0.7368 0.57171 0.552 0.084 0.328 0.036
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 2 0.7646 0.51237 0.216 0.548 0.220 0.016
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 3 0.4680 0.67767 0.124 0.064 0.804 0.008
#> ED9794C0-AC60-4B54-8214-D26714871BBF 4 0.5106 0.73910 0.144 0.060 0.016 0.780
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 3 0.5652 0.26704 0.016 0.328 0.640 0.016
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 2 0.4817 0.73995 0.000 0.612 0.388 0.000
#> 18D816AF-394A-482F-B22E-896A43B1E481 2 0.7260 0.54456 0.204 0.564 0.228 0.004
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 3 0.7562 0.20893 0.312 0.092 0.552 0.044
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 3 0.0657 0.70075 0.004 0.012 0.984 0.000
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 3 0.4761 0.29468 0.000 0.332 0.664 0.004
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 3 0.3219 0.69694 0.112 0.020 0.868 0.000
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 3 0.4511 0.63804 0.176 0.040 0.784 0.000
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 3 0.3080 0.70139 0.024 0.096 0.880 0.000
#> 7E809698-2473-4EFE-B896-1637983EC596 3 0.3597 0.66686 0.016 0.148 0.836 0.000
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 3 0.1297 0.70068 0.020 0.016 0.964 0.000
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 3 0.1584 0.70634 0.036 0.012 0.952 0.000
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 3 0.3219 0.64595 0.000 0.164 0.836 0.000
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 3 0.8655 -0.30624 0.196 0.048 0.396 0.360
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 4 0.5235 0.74634 0.124 0.064 0.028 0.784
#> 73F28A79-7D35-4FE9-849D-FFE681483928 3 0.4188 0.65647 0.148 0.040 0.812 0.000
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 1 0.9532 0.34715 0.316 0.108 0.288 0.288
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 3 0.2021 0.70473 0.024 0.040 0.936 0.000
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 1 0.8566 0.53902 0.540 0.124 0.192 0.144
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.4762 0.81549 0.004 0.692 0.300 0.004
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 4 0.4168 0.73662 0.080 0.092 0.000 0.828
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 1 0.9039 0.53476 0.460 0.120 0.264 0.156
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 1 0.7653 0.57594 0.540 0.104 0.316 0.040
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 1 0.9661 0.31081 0.324 0.144 0.316 0.216
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.1297 0.70483 0.016 0.020 0.964 0.000
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 4 0.4036 0.72681 0.088 0.076 0.000 0.836
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.4454 0.81197 0.000 0.692 0.308 0.000
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 3 0.4130 0.67668 0.036 0.136 0.824 0.004
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.7439 0.62230 0.036 0.492 0.396 0.076
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 3 0.2859 0.68328 0.008 0.112 0.880 0.000
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 3 0.2530 0.68525 0.000 0.112 0.888 0.000
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 3 0.7252 0.45465 0.152 0.156 0.644 0.048
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 3 0.1792 0.69754 0.000 0.068 0.932 0.000
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 4 0.5329 0.74450 0.124 0.064 0.032 0.780
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.2816 0.69413 0.064 0.036 0.900 0.000
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.8017 0.46904 0.600 0.144 0.120 0.136
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 2 0.8696 0.18584 0.132 0.524 0.140 0.204
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.8059 0.55783 0.588 0.148 0.172 0.092
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.5004 0.73117 0.004 0.604 0.392 0.000
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 3 0.5695 0.33901 0.336 0.040 0.624 0.000
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 3 0.7973 0.21763 0.276 0.084 0.552 0.088
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 3 0.7760 -0.20323 0.428 0.088 0.440 0.044
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 4 0.7326 0.61093 0.192 0.100 0.068 0.640
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 3 0.4337 0.69205 0.100 0.072 0.824 0.004
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 3 0.2334 0.69004 0.004 0.088 0.908 0.000
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 3 0.5690 0.55664 0.244 0.040 0.700 0.016
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 3 0.0921 0.69759 0.000 0.028 0.972 0.000
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 3 0.1211 0.69680 0.000 0.040 0.960 0.000
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 3 0.1022 0.69887 0.000 0.032 0.968 0.000
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.8205 0.57144 0.528 0.120 0.280 0.072
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.7844 0.31105 0.448 0.096 0.412 0.044
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 1 0.4692 0.57061 0.780 0.040 0.176 0.004
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 3 0.4406 0.40777 0.000 0.300 0.700 0.000
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 3 0.3942 0.52857 0.000 0.236 0.764 0.000
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 3 0.1256 0.70623 0.028 0.008 0.964 0.000
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.2334 0.69708 0.004 0.088 0.908 0.000
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.7663 0.46861 0.060 0.612 0.164 0.164
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 3 0.2680 0.71424 0.036 0.048 0.912 0.004
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 3 0.2002 0.70562 0.020 0.044 0.936 0.000
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.4334 0.66068 0.032 0.160 0.804 0.004
#> CA356591-D24F-41A8-8C9A-1178C7781510 3 0.1389 0.69532 0.000 0.048 0.952 0.000
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 1 0.5153 0.56653 0.732 0.040 0.224 0.004
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.7951 -0.05514 0.496 0.124 0.040 0.340
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 3 0.153 0.70437 0.004 0.036 0.948 0.000 0.012
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.428 0.66493 0.036 0.164 0.780 0.000 0.020
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 3 0.332 0.72080 0.012 0.056 0.860 0.000 0.072
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.437 0.73894 0.012 0.700 0.280 0.004 0.004
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 3 0.151 0.71705 0.012 0.012 0.952 0.000 0.024
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 1 0.861 0.33313 0.348 0.204 0.324 0.032 0.092
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 3 0.159 0.70806 0.008 0.028 0.948 0.000 0.016
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 3 0.239 0.72195 0.032 0.012 0.912 0.000 0.044
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.450 0.52470 0.004 0.584 0.408 0.000 0.004
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.337 0.75428 0.000 0.784 0.212 0.000 0.004
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 3 0.560 0.09347 0.020 0.388 0.560 0.012 0.020
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.288 0.71294 0.052 0.016 0.888 0.000 0.044
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 4 0.369 0.77005 0.072 0.080 0.000 0.836 0.012
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 3 0.482 -0.01009 0.004 0.440 0.544 0.004 0.008
#> ECB2DF14-CF68-44D4-8719-973AE448B992 3 0.729 -0.31760 0.252 0.024 0.364 0.000 0.360
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 3 0.320 0.71404 0.028 0.080 0.868 0.000 0.024
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 3 0.697 0.06495 0.224 0.012 0.476 0.004 0.284
#> 3282F146-2782-4877-9EFE-6020AC277A8C 3 0.124 0.70448 0.004 0.028 0.960 0.000 0.008
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 5 0.399 0.80577 0.152 0.000 0.060 0.000 0.788
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 3 0.709 0.38544 0.256 0.080 0.552 0.004 0.108
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 3 0.459 -0.16309 0.004 0.472 0.520 0.000 0.004
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 3 0.513 0.64560 0.148 0.044 0.740 0.000 0.068
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.497 0.52243 0.012 0.572 0.404 0.008 0.004
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 3 0.702 0.17594 0.316 0.064 0.508 0.000 0.112
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 5 0.455 0.74746 0.128 0.000 0.120 0.000 0.752
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 3 0.365 0.71686 0.072 0.040 0.848 0.000 0.040
#> C945DDA9-0194-46F4-89E2-13883284D5A4 3 0.156 0.70934 0.004 0.020 0.948 0.000 0.028
#> 79B11925-9772-474F-A729-D00315959710 1 0.461 0.37222 0.808 0.036 0.032 0.080 0.044
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 3 0.280 0.69837 0.016 0.092 0.880 0.000 0.012
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 1 0.662 0.50041 0.580 0.060 0.260 0.000 0.100
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 5 0.399 0.80577 0.152 0.000 0.060 0.000 0.788
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 5 0.522 0.71714 0.240 0.004 0.084 0.000 0.672
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 3 0.309 0.71705 0.032 0.080 0.872 0.000 0.016
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 3 0.660 0.19784 0.324 0.032 0.528 0.000 0.116
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.283 0.71252 0.052 0.024 0.892 0.000 0.032
#> 26796E5F-C0C2-466C-9012-882F6D29C149 3 0.184 0.71683 0.012 0.040 0.936 0.000 0.012
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 0.750 0.50327 0.536 0.080 0.268 0.032 0.084
#> 1492D21A-6458-4B49-B530-7A327FCDD031 3 0.715 0.08572 0.316 0.056 0.488 0.000 0.140
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 5 0.429 0.75194 0.172 0.016 0.024 0.008 0.780
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 3 0.511 0.55792 0.048 0.228 0.700 0.000 0.024
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.664 0.25080 0.664 0.088 0.032 0.080 0.136
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 5 0.742 0.18836 0.076 0.176 0.248 0.000 0.500
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.541 0.40385 0.008 0.524 0.436 0.012 0.020
#> E846120D-D9E6-46F8-9647-2272AB064072 1 0.706 -0.15653 0.504 0.044 0.016 0.092 0.344
#> 36880C8C-91A9-49A9-A2D5-957161737F31 4 0.429 0.76813 0.064 0.104 0.012 0.808 0.012
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.309 0.71320 0.004 0.828 0.164 0.000 0.004
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 3 0.582 0.22735 0.028 0.352 0.580 0.012 0.028
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 1 0.639 0.51500 0.620 0.060 0.220 0.000 0.100
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 3 0.664 0.41426 0.260 0.068 0.580 0.000 0.092
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 3 0.627 0.15063 0.044 0.364 0.544 0.012 0.036
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 3 0.315 0.70578 0.040 0.056 0.876 0.000 0.028
#> 116F3F29-AB89-4F00-9003-559041E285EB 3 0.131 0.70527 0.016 0.016 0.960 0.000 0.008
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.423 0.74975 0.016 0.740 0.232 0.000 0.012
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 3 0.740 0.23725 0.212 0.088 0.520 0.000 0.180
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 3 0.334 0.68095 0.008 0.136 0.836 0.000 0.020
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 3 0.507 0.67625 0.080 0.040 0.748 0.000 0.132
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 4 0.375 0.77137 0.076 0.080 0.000 0.832 0.012
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 3 0.439 0.54475 0.016 0.256 0.716 0.000 0.012
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 3 0.273 0.71180 0.016 0.080 0.888 0.000 0.016
#> 299CB633-58A3-4275-BC08-E6F3669C365A 4 0.348 0.76638 0.088 0.032 0.000 0.852 0.028
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 3 0.236 0.71309 0.028 0.024 0.916 0.000 0.032
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.359 0.68407 0.020 0.824 0.144 0.004 0.008
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 3 0.604 0.56097 0.176 0.044 0.660 0.000 0.120
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 3 0.725 0.23150 0.296 0.080 0.512 0.004 0.108
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 3 0.460 0.67796 0.076 0.124 0.776 0.000 0.024
#> CD576099-5450-4232-9B59-08341BED8FFA 3 0.267 0.72135 0.048 0.024 0.900 0.000 0.028
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 3 0.240 0.71003 0.012 0.072 0.904 0.000 0.012
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 4 0.471 0.73780 0.092 0.044 0.000 0.780 0.084
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 1 0.433 0.13963 0.784 0.016 0.000 0.144 0.056
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 3 0.436 0.51342 0.012 0.284 0.696 0.000 0.008
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 3 0.269 0.72019 0.012 0.036 0.896 0.000 0.056
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 3 0.136 0.70481 0.004 0.028 0.956 0.000 0.012
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 1 0.381 0.40872 0.852 0.052 0.036 0.016 0.044
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#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 4 0.467 0.75847 0.128 0.044 0.000 0.776 0.052
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 1 0.803 0.48600 0.552 0.084 0.160 0.088 0.116
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 1 0.636 0.51452 0.624 0.060 0.216 0.000 0.100
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 1 0.914 0.40711 0.376 0.120 0.264 0.156 0.084
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.200 0.71221 0.016 0.024 0.932 0.000 0.028
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 4 0.448 0.74466 0.084 0.040 0.000 0.796 0.080
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.349 0.75761 0.004 0.768 0.228 0.000 0.000
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 3 0.485 0.68241 0.040 0.128 0.764 0.000 0.068
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.673 0.63554 0.048 0.564 0.308 0.056 0.024
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 3 0.293 0.68796 0.004 0.128 0.856 0.000 0.012
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 3 0.288 0.69740 0.004 0.108 0.868 0.000 0.020
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 3 0.684 0.49487 0.184 0.132 0.616 0.020 0.048
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 3 0.207 0.70720 0.004 0.060 0.920 0.000 0.016
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 4 0.542 0.76169 0.252 0.040 0.012 0.676 0.020
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.378 0.69221 0.036 0.036 0.836 0.000 0.092
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.538 0.37677 0.764 0.056 0.044 0.052 0.084
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 2 0.758 0.05483 0.272 0.520 0.044 0.124 0.040
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.549 0.45479 0.740 0.072 0.080 0.008 0.100
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.405 0.69633 0.004 0.676 0.320 0.000 0.000
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 3 0.618 0.23233 0.096 0.016 0.532 0.000 0.356
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 3 0.835 0.00362 0.244 0.072 0.464 0.052 0.168
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 3 0.839 -0.32180 0.288 0.064 0.384 0.032 0.232
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 4 0.660 0.61599 0.352 0.080 0.024 0.528 0.016
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 3 0.464 0.69673 0.080 0.056 0.788 0.000 0.076
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 3 0.275 0.69763 0.016 0.088 0.884 0.000 0.012
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 3 0.659 0.44643 0.232 0.060 0.596 0.000 0.112
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 3 0.119 0.70431 0.008 0.020 0.964 0.000 0.008
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 3 0.137 0.70322 0.004 0.024 0.956 0.000 0.016
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 3 0.140 0.70686 0.016 0.020 0.956 0.000 0.008
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.707 0.52269 0.612 0.076 0.196 0.036 0.080
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.725 0.45187 0.492 0.064 0.344 0.016 0.084
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 5 0.399 0.80577 0.152 0.000 0.060 0.000 0.788
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 3 0.427 0.38794 0.004 0.336 0.656 0.000 0.004
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 3 0.382 0.54559 0.004 0.252 0.740 0.000 0.004
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 3 0.187 0.71516 0.012 0.016 0.936 0.000 0.036
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.270 0.70858 0.012 0.100 0.880 0.000 0.008
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.712 0.41283 0.128 0.628 0.096 0.112 0.036
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 3 0.300 0.72355 0.044 0.040 0.888 0.004 0.024
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 3 0.290 0.70945 0.032 0.056 0.888 0.000 0.024
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.464 0.67686 0.036 0.160 0.764 0.000 0.040
#> CA356591-D24F-41A8-8C9A-1178C7781510 3 0.153 0.70219 0.004 0.036 0.948 0.000 0.012
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 5 0.436 0.77546 0.128 0.000 0.104 0.000 0.768
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.535 0.00970 0.704 0.020 0.012 0.212 0.052
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 3 0.201 0.68160 0.000 0.036 0.916 0.044 0.004 0.000
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.415 0.63938 0.028 0.176 0.764 0.020 0.012 0.000
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 3 0.400 0.70056 0.016 0.056 0.816 0.056 0.056 0.000
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.371 0.70110 0.004 0.748 0.228 0.016 0.000 0.004
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 3 0.232 0.70188 0.020 0.012 0.912 0.024 0.032 0.000
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 1 0.850 0.38002 0.368 0.196 0.264 0.076 0.060 0.036
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 3 0.188 0.68592 0.004 0.020 0.928 0.040 0.008 0.000
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 3 0.266 0.70418 0.040 0.008 0.892 0.040 0.020 0.000
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.405 0.52931 0.004 0.620 0.368 0.008 0.000 0.000
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.281 0.69469 0.000 0.832 0.156 0.008 0.000 0.004
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 3 0.538 0.02173 0.008 0.404 0.524 0.048 0.004 0.012
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.380 0.68939 0.064 0.008 0.824 0.060 0.044 0.000
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 6 0.137 0.20384 0.012 0.036 0.000 0.004 0.000 0.948
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 3 0.466 -0.08834 0.004 0.464 0.504 0.024 0.000 0.004
#> ECB2DF14-CF68-44D4-8719-973AE448B992 5 0.733 -0.17504 0.276 0.020 0.284 0.052 0.368 0.000
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 3 0.376 0.68812 0.032 0.076 0.828 0.048 0.016 0.000
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 3 0.718 -0.01108 0.264 0.008 0.408 0.068 0.252 0.000
#> 3282F146-2782-4877-9EFE-6020AC277A8C 3 0.171 0.68273 0.000 0.024 0.932 0.040 0.004 0.000
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 5 0.159 0.77101 0.052 0.000 0.016 0.000 0.932 0.000
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 3 0.711 0.34770 0.288 0.080 0.500 0.044 0.084 0.004
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.447 0.23319 0.004 0.500 0.476 0.020 0.000 0.000
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 3 0.542 0.63407 0.160 0.044 0.700 0.052 0.044 0.000
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.445 0.52841 0.004 0.608 0.364 0.016 0.000 0.008
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 3 0.691 0.08169 0.364 0.048 0.452 0.072 0.064 0.000
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 5 0.253 0.74581 0.048 0.000 0.064 0.004 0.884 0.000
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 3 0.419 0.69653 0.096 0.044 0.800 0.028 0.032 0.000
#> C945DDA9-0194-46F4-89E2-13883284D5A4 3 0.239 0.69108 0.020 0.012 0.908 0.036 0.024 0.000
#> 79B11925-9772-474F-A729-D00315959710 1 0.498 0.32740 0.748 0.012 0.012 0.112 0.040 0.076
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 3 0.314 0.67231 0.008 0.096 0.848 0.044 0.004 0.000
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 1 0.568 0.54637 0.664 0.040 0.204 0.032 0.056 0.004
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 5 0.159 0.77101 0.052 0.000 0.016 0.000 0.932 0.000
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 5 0.467 0.66403 0.208 0.000 0.036 0.048 0.708 0.000
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 3 0.344 0.70021 0.036 0.072 0.848 0.024 0.020 0.000
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 3 0.656 0.11163 0.380 0.028 0.464 0.060 0.068 0.000
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.375 0.68849 0.076 0.016 0.828 0.052 0.028 0.000
#> 26796E5F-C0C2-466C-9012-882F6D29C149 3 0.228 0.69757 0.028 0.036 0.912 0.008 0.016 0.000
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 0.683 0.53937 0.580 0.060 0.232 0.040 0.056 0.032
#> 1492D21A-6458-4B49-B530-7A327FCDD031 3 0.743 0.01292 0.332 0.036 0.428 0.064 0.132 0.008
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 5 0.319 0.72822 0.060 0.008 0.008 0.072 0.852 0.000
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 3 0.550 0.49744 0.040 0.232 0.644 0.076 0.008 0.000
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.694 0.19309 0.600 0.048 0.020 0.164 0.088 0.080
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 5 0.673 0.31078 0.044 0.180 0.168 0.044 0.564 0.000
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.512 0.43774 0.004 0.556 0.388 0.032 0.008 0.012
#> E846120D-D9E6-46F8-9647-2272AB064072 1 0.664 -0.00989 0.472 0.000 0.008 0.220 0.268 0.032
#> 36880C8C-91A9-49A9-A2D5-957161737F31 6 0.176 0.21426 0.008 0.076 0.000 0.000 0.000 0.916
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.237 0.63335 0.000 0.880 0.104 0.008 0.000 0.008
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 3 0.556 0.18237 0.012 0.368 0.548 0.052 0.008 0.012
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 1 0.565 0.55328 0.692 0.048 0.156 0.028 0.068 0.008
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 3 0.699 0.32982 0.284 0.048 0.516 0.076 0.072 0.004
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 3 0.611 0.09079 0.024 0.380 0.508 0.056 0.020 0.012
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 3 0.344 0.68648 0.032 0.064 0.848 0.044 0.012 0.000
#> 116F3F29-AB89-4F00-9003-559041E285EB 3 0.171 0.68397 0.004 0.012 0.928 0.056 0.000 0.000
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.434 0.67354 0.004 0.744 0.188 0.048 0.004 0.012
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 3 0.787 0.11608 0.228 0.092 0.440 0.076 0.164 0.000
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 3 0.358 0.65537 0.000 0.144 0.800 0.048 0.008 0.000
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 3 0.616 0.62600 0.088 0.056 0.656 0.072 0.128 0.000
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 6 0.148 0.20265 0.012 0.036 0.000 0.008 0.000 0.944
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 3 0.447 0.51122 0.012 0.264 0.688 0.028 0.008 0.000
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 3 0.321 0.69754 0.020 0.084 0.856 0.024 0.016 0.000
#> 299CB633-58A3-4275-BC08-E6F3669C365A 6 0.400 -0.19043 0.028 0.004 0.000 0.260 0.000 0.708
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 3 0.304 0.69360 0.044 0.012 0.872 0.048 0.024 0.000
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.318 0.59904 0.032 0.856 0.084 0.012 0.000 0.016
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 3 0.662 0.51773 0.164 0.036 0.596 0.080 0.124 0.000
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 3 0.724 0.13039 0.344 0.076 0.448 0.060 0.068 0.004
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 3 0.532 0.63203 0.056 0.136 0.712 0.072 0.024 0.000
#> CD576099-5450-4232-9B59-08341BED8FFA 3 0.308 0.70651 0.052 0.024 0.872 0.032 0.020 0.000
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 3 0.277 0.68519 0.000 0.072 0.868 0.056 0.004 0.000
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 4 0.497 0.06011 0.016 0.016 0.000 0.484 0.012 0.472
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 1 0.539 0.14722 0.656 0.000 0.000 0.200 0.044 0.100
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 3 0.456 0.46389 0.016 0.296 0.660 0.020 0.008 0.000
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 3 0.338 0.69689 0.012 0.028 0.852 0.052 0.056 0.000
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 3 0.169 0.68189 0.000 0.020 0.932 0.044 0.004 0.000
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 1 0.440 0.37597 0.776 0.016 0.020 0.140 0.036 0.012
#> 57E380FC-B6AB-466F-9936-D52192888008 1 0.727 0.08056 0.520 0.028 0.012 0.208 0.160 0.072
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 3 0.344 0.68648 0.032 0.064 0.848 0.044 0.012 0.000
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 1 0.454 0.37920 0.776 0.020 0.020 0.128 0.036 0.020
#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 2 0.703 0.41333 0.004 0.380 0.316 0.056 0.244 0.000
#> 1D4F0B66-720D-484D-B8D5-2B290ED208A8 3 0.161 0.68000 0.000 0.016 0.936 0.044 0.004 0.000
#> C886CA33-5080-4E3E-88A2-F9A3CF03A857 3 0.486 0.67767 0.112 0.028 0.752 0.068 0.040 0.000
#> 9AC963E4-F82D-460E-9CAD-C651B879780A 3 0.404 0.61754 0.004 0.188 0.756 0.044 0.008 0.000
#> 1B6CF403-D0AE-4FFE-A884-660A58F32660 3 0.224 0.69315 0.012 0.048 0.912 0.012 0.016 0.000
#> B33316E1-11FD-4C10-956A-C9C6F78508C5 1 0.723 0.42675 0.504 0.020 0.236 0.060 0.164 0.016
#> BB02EF6A-C57D-4A79-99C1-ED43A72FFAF7 2 0.470 0.16690 0.020 0.484 0.484 0.008 0.000 0.004
#> 4DBA59AD-9393-4BE6-88CB-852C62C4A334 3 0.229 0.69051 0.004 0.032 0.908 0.044 0.012 0.000
#> 7887EDC4-A0D7-4E57-B3A1-330A5683457D 5 0.174 0.76965 0.052 0.000 0.016 0.004 0.928 0.000
#> 2CD3AC14-46FB-4260-AE5C-4305C68D49BC 3 0.289 0.70515 0.052 0.016 0.880 0.036 0.016 0.000
#> BAB8FA79-208A-488D-B955-806263E5D6BB 3 0.166 0.68743 0.004 0.020 0.940 0.028 0.008 0.000
#> 98C990E7-7E3B-4200-A88D-E641931302EA 6 0.503 -0.48495 0.020 0.016 0.000 0.440 0.012 0.512
#> 894EE382-5ACA-4DEB-9267-99ADBEF6DA19 3 0.462 0.61988 0.020 0.164 0.736 0.072 0.008 0.000
#> 98795F95-D26D-438A-AF46-B3BC3553F020 3 0.701 0.50516 0.188 0.084 0.560 0.060 0.108 0.000
#> 9AD4C328-1554-4C92-931C-30CE8F305FDE 6 0.127 0.20180 0.008 0.036 0.000 0.004 0.000 0.952
#> 4D1518D9-D968-4E7F-A702-5157A1A2E83E 4 0.716 0.05295 0.180 0.056 0.008 0.376 0.008 0.372
#> A6E8AF8C-5D7B-4197-990B-786A869ACB96 1 0.614 0.52851 0.620 0.036 0.232 0.032 0.068 0.012
#> DF8B4E19-8C78-4A68-8FAE-DFF01076BC97 3 0.365 0.55022 0.004 0.232 0.748 0.012 0.004 0.000
#> 8D2C608F-3280-4CA2-B996-9AE3DBDBBD28 3 0.281 0.68904 0.020 0.088 0.872 0.012 0.008 0.000
#> E7BCBD8D-1219-4A99-948A-47A258A5CD8B 3 0.266 0.69335 0.020 0.056 0.888 0.032 0.004 0.000
#> 2C9633A5-8ACB-4D16-8120-F098BA14BB04 3 0.438 -0.07780 0.004 0.460 0.520 0.016 0.000 0.000
#> 985D9304-E4DA-4038-B235-067CBFEAC902 2 0.420 0.68264 0.024 0.744 0.204 0.016 0.000 0.012
#> D34CE243-6F4F-4158-9FC4-77E1640E8A91 2 0.261 0.67683 0.000 0.852 0.136 0.008 0.000 0.004
#> 65131575-48D3-42C2-B411-3DB871EF5EE1 3 0.597 0.62118 0.132 0.044 0.668 0.064 0.092 0.000
#> 1AE13DFA-670C-43EE-9898-8FA831AEDDB3 3 0.178 0.68067 0.000 0.024 0.928 0.044 0.004 0.000
#> 3ACDCD29-1B8D-455D-9EE9-D6C903B16D09 5 0.205 0.77306 0.060 0.000 0.032 0.000 0.908 0.000
#> C6FBC35B-0113-4F00-BE1A-831D2C551055 3 0.568 0.56691 0.204 0.024 0.656 0.072 0.044 0.000
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#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 3 0.264 0.68501 0.000 0.064 0.880 0.048 0.008 0.000
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 6 0.607 0.15423 0.160 0.036 0.004 0.224 0.000 0.576
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.507 0.64729 0.076 0.028 0.740 0.104 0.052 0.000
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.615 0.37744 0.688 0.040 0.036 0.100 0.072 0.064
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 2 0.733 -0.00772 0.228 0.492 0.032 0.120 0.000 0.128
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.469 0.48403 0.788 0.036 0.048 0.048 0.064 0.016
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.343 0.66579 0.000 0.720 0.276 0.004 0.000 0.000
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 3 0.658 0.16002 0.120 0.008 0.464 0.056 0.352 0.000
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 3 0.858 -0.10230 0.244 0.064 0.392 0.096 0.164 0.040
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 3 0.819 -0.29370 0.256 0.044 0.356 0.064 0.256 0.024
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 6 0.725 0.05828 0.284 0.068 0.020 0.168 0.004 0.456
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 3 0.513 0.67080 0.080 0.048 0.744 0.060 0.068 0.000
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 3 0.309 0.67216 0.008 0.092 0.852 0.044 0.004 0.000
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 3 0.677 0.36556 0.284 0.052 0.528 0.060 0.076 0.000
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 3 0.151 0.68182 0.000 0.012 0.940 0.044 0.004 0.000
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 3 0.181 0.68034 0.000 0.020 0.928 0.044 0.008 0.000
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 3 0.182 0.68456 0.004 0.016 0.928 0.048 0.004 0.000
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.617 0.56006 0.668 0.052 0.156 0.040 0.052 0.032
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.652 0.47062 0.540 0.048 0.312 0.036 0.052 0.012
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 5 0.159 0.77101 0.052 0.000 0.016 0.000 0.932 0.000
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 3 0.405 0.30149 0.004 0.368 0.620 0.008 0.000 0.000
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 3 0.365 0.49700 0.004 0.272 0.716 0.008 0.000 0.000
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 3 0.232 0.69731 0.028 0.012 0.912 0.020 0.028 0.000
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.310 0.69340 0.012 0.108 0.848 0.028 0.004 0.000
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.639 0.31757 0.088 0.636 0.052 0.104 0.000 0.120
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 3 0.364 0.70598 0.032 0.044 0.844 0.056 0.020 0.004
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 3 0.329 0.68816 0.024 0.064 0.856 0.044 0.012 0.000
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.468 0.65359 0.044 0.168 0.740 0.024 0.024 0.000
#> CA356591-D24F-41A8-8C9A-1178C7781510 3 0.200 0.67976 0.000 0.032 0.916 0.048 0.004 0.000
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 5 0.228 0.75905 0.044 0.000 0.052 0.004 0.900 0.000
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.598 -0.01547 0.592 0.000 0.000 0.196 0.048 0.164
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 17888 rows and 430 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'CV' method.
#> Subgroups are detected by 'kmeans' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.737 0.850 0.940 0.4711 0.532 0.532
#> 3 3 0.536 0.788 0.844 0.3081 0.690 0.487
#> 4 4 0.624 0.677 0.836 0.1520 0.887 0.710
#> 5 5 0.654 0.602 0.803 0.0881 0.864 0.591
#> 6 6 0.623 0.510 0.703 0.0456 0.873 0.526
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
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 2 0.0000 0.93655 0.000 1.000
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 2 0.0000 0.93655 0.000 1.000
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 2 0.0000 0.93655 0.000 1.000
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.0000 0.93655 0.000 1.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 2 0.0000 0.93655 0.000 1.000
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 1 0.7219 0.74309 0.800 0.200
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 2 0.0000 0.93655 0.000 1.000
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 2 0.0000 0.93655 0.000 1.000
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.0000 0.93655 0.000 1.000
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.0000 0.93655 0.000 1.000
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.0000 0.93655 0.000 1.000
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 2 0.7745 0.68141 0.228 0.772
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.0000 0.92461 1.000 0.000
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.0000 0.93655 0.000 1.000
#> ECB2DF14-CF68-44D4-8719-973AE448B992 1 0.0000 0.92461 1.000 0.000
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 2 0.0000 0.93655 0.000 1.000
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 1 0.0000 0.92461 1.000 0.000
#> 3282F146-2782-4877-9EFE-6020AC277A8C 2 0.0000 0.93655 0.000 1.000
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 1 0.6887 0.74880 0.816 0.184
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 2 0.9522 0.40166 0.372 0.628
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.0000 0.93655 0.000 1.000
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 2 0.0000 0.93655 0.000 1.000
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.0000 0.93655 0.000 1.000
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 1 0.5629 0.82141 0.868 0.132
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 2 0.9922 0.19076 0.448 0.552
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 2 0.0376 0.93369 0.004 0.996
#> C945DDA9-0194-46F4-89E2-13883284D5A4 2 0.0000 0.93655 0.000 1.000
#> 79B11925-9772-474F-A729-D00315959710 1 0.0000 0.92461 1.000 0.000
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 2 0.0000 0.93655 0.000 1.000
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 1 0.5946 0.80895 0.856 0.144
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 1 0.0000 0.92461 1.000 0.000
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.0000 0.92461 1.000 0.000
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.0000 0.93655 0.000 1.000
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 2 0.9881 0.22819 0.436 0.564
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 2 0.9833 0.26504 0.424 0.576
#> 26796E5F-C0C2-466C-9012-882F6D29C149 2 0.0000 0.93655 0.000 1.000
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 0.0000 0.92461 1.000 0.000
#> 1492D21A-6458-4B49-B530-7A327FCDD031 1 0.0000 0.92461 1.000 0.000
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 1 0.0000 0.92461 1.000 0.000
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 2 0.0000 0.93655 0.000 1.000
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.0000 0.92461 1.000 0.000
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 1 0.0000 0.92461 1.000 0.000
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.0000 0.93655 0.000 1.000
#> E846120D-D9E6-46F8-9647-2272AB064072 1 0.0000 0.92461 1.000 0.000
#> 36880C8C-91A9-49A9-A2D5-957161737F31 1 0.9881 0.24716 0.564 0.436
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.0000 0.93655 0.000 1.000
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 2 0.0000 0.93655 0.000 1.000
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 1 0.0000 0.92461 1.000 0.000
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 1 0.9286 0.48857 0.656 0.344
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 2 0.0000 0.93655 0.000 1.000
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 2 0.0000 0.93655 0.000 1.000
#> 116F3F29-AB89-4F00-9003-559041E285EB 2 0.0000 0.93655 0.000 1.000
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.0000 0.93655 0.000 1.000
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 1 0.0000 0.92461 1.000 0.000
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 2 0.0000 0.93655 0.000 1.000
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 1 0.8386 0.63999 0.732 0.268
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 1 0.0000 0.92461 1.000 0.000
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 2 0.0000 0.93655 0.000 1.000
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 2 0.0000 0.93655 0.000 1.000
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.0000 0.92461 1.000 0.000
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 2 0.0000 0.93655 0.000 1.000
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.2236 0.90702 0.036 0.964
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 2 0.9954 0.14822 0.460 0.540
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 1 0.9522 0.42118 0.628 0.372
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 2 0.0376 0.93351 0.004 0.996
#> CD576099-5450-4232-9B59-08341BED8FFA 2 0.0000 0.93655 0.000 1.000
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 2 0.0000 0.93655 0.000 1.000
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 1 0.0000 0.92461 1.000 0.000
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 1 0.0000 0.92461 1.000 0.000
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 2 0.0000 0.93655 0.000 1.000
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 2 0.0672 0.93102 0.008 0.992
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 2 0.0000 0.93655 0.000 1.000
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 1 0.0000 0.92461 1.000 0.000
#> 57E380FC-B6AB-466F-9936-D52192888008 1 0.0000 0.92461 1.000 0.000
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 2 0.0000 0.93655 0.000 1.000
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 1 0.0000 0.92461 1.000 0.000
#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 2 0.4298 0.85603 0.088 0.912
#> 1D4F0B66-720D-484D-B8D5-2B290ED208A8 2 0.0000 0.93655 0.000 1.000
#> C886CA33-5080-4E3E-88A2-F9A3CF03A857 2 0.9286 0.46688 0.344 0.656
#> 9AC963E4-F82D-460E-9CAD-C651B879780A 2 0.0000 0.93655 0.000 1.000
#> 1B6CF403-D0AE-4FFE-A884-660A58F32660 2 0.0000 0.93655 0.000 1.000
#> B33316E1-11FD-4C10-956A-C9C6F78508C5 1 0.0000 0.92461 1.000 0.000
#> BB02EF6A-C57D-4A79-99C1-ED43A72FFAF7 2 0.0000 0.93655 0.000 1.000
#> 4DBA59AD-9393-4BE6-88CB-852C62C4A334 2 0.0000 0.93655 0.000 1.000
#> 7887EDC4-A0D7-4E57-B3A1-330A5683457D 1 0.0000 0.92461 1.000 0.000
#> 2CD3AC14-46FB-4260-AE5C-4305C68D49BC 2 0.0000 0.93655 0.000 1.000
#> BAB8FA79-208A-488D-B955-806263E5D6BB 2 0.0000 0.93655 0.000 1.000
#> 98C990E7-7E3B-4200-A88D-E641931302EA 1 0.0000 0.92461 1.000 0.000
#> 894EE382-5ACA-4DEB-9267-99ADBEF6DA19 2 0.0000 0.93655 0.000 1.000
#> 98795F95-D26D-438A-AF46-B3BC3553F020 1 0.1633 0.90898 0.976 0.024
#> 9AD4C328-1554-4C92-931C-30CE8F305FDE 1 0.0000 0.92461 1.000 0.000
#> 4D1518D9-D968-4E7F-A702-5157A1A2E83E 1 0.0000 0.92461 1.000 0.000
#> A6E8AF8C-5D7B-4197-990B-786A869ACB96 1 0.1843 0.90769 0.972 0.028
#> DF8B4E19-8C78-4A68-8FAE-DFF01076BC97 2 0.0000 0.93655 0.000 1.000
#> 8D2C608F-3280-4CA2-B996-9AE3DBDBBD28 2 0.0000 0.93655 0.000 1.000
#> E7BCBD8D-1219-4A99-948A-47A258A5CD8B 2 0.0000 0.93655 0.000 1.000
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#> 7C712EF3-7368-4D97-BB9A-717CF8522C7F 2 0.5629 0.81032 0.132 0.868
#> 30312D82-4966-4EAA-A067-F91852FA8663 2 0.6801 0.74538 0.180 0.820
#> ECC62CBA-16AB-45F0-9C5A-72F302B4A188 2 0.0000 0.93655 0.000 1.000
#> 5AF4899F-D8E1-4CB6-B3DC-F0C60C808838 2 0.0000 0.93655 0.000 1.000
#> BBCEA0D1-DE66-4C0C-8D3C-D1398D04B472 2 0.0000 0.93655 0.000 1.000
#> 154764CD-AC69-4F48-A212-8B27C076C91A 2 0.0672 0.93035 0.008 0.992
#> 33266777-E07B-49D0-9E24-2EDE2577CF16 1 0.0000 0.92461 1.000 0.000
#> 7DAE9720-3922-4680-9F95-75C029B7FDA9 2 0.0000 0.93655 0.000 1.000
#> 1BC2ECED-0425-4382-BB94-F57ED2687F18 1 0.0000 0.92461 1.000 0.000
#> 0901D931-77BE-47B0-AE5F-C26C6A144CA0 1 0.0000 0.92461 1.000 0.000
#> 77AFFD5F-F715-4242-95C9-5F36E061B3E2 1 0.0000 0.92461 1.000 0.000
#> FAB4A6D6-E978-4172-9FE1-79FC50C0F849 2 0.0000 0.93655 0.000 1.000
#> 32C4DF54-39DD-4F62-B938-82ED2A0E0FFD 1 0.7602 0.71591 0.780 0.220
#> 9911D83E-6DDF-4048-9A34-22BFA1D68BBD 2 0.0000 0.93655 0.000 1.000
#> 4BAC0A03-BB88-4D19-86F9-FF093330C9B3 2 0.9460 0.41284 0.364 0.636
#> 18F63ADA-1828-43DD-AE1F-F36706C204CD 2 0.0000 0.93655 0.000 1.000
#> 66729295-C0AA-42C7-92C9-05194EF02276 2 0.0672 0.93068 0.008 0.992
#> 4CCA3104-B557-403D-AC06-A6D4936DDC04 2 0.0000 0.93655 0.000 1.000
#> 77D4165E-7CB1-4D69-AFE5-C8D914531651 2 0.0000 0.93655 0.000 1.000
#> BA12A05A-622A-424D-8108-3F5916405EB0 2 0.9754 0.30996 0.408 0.592
#> DED4EA4D-9DC2-4419-83EC-2BFE75DC1830 2 0.0000 0.93655 0.000 1.000
#> 13A35364-57C5-4F5A-B077-3BA2689BFDD3 2 0.9323 0.45723 0.348 0.652
#> 2641B816-1D21-496E-85AD-1C690C9146A6 2 0.7528 0.69974 0.216 0.784
#> 96E2AD09-7287-4B91-840E-81444A61D56F 2 0.0000 0.93655 0.000 1.000
#> 62F3327F-FB16-4AD0-BCF5-B180F28281A9 2 0.0000 0.93655 0.000 1.000
#> 112F7032-0212-4939-9449-D67E3600CCD5 2 0.0000 0.93655 0.000 1.000
#> A3B4DE21-DDF0-4468-A300-7BECBAFD0BCD 1 0.0000 0.92461 1.000 0.000
#> 0A03E593-6931-419C-AE47-51D75185C2C0 2 0.0000 0.93655 0.000 1.000
#> 2416A3DC-A563-4FD1-A139-0E6EF7185211 2 0.0000 0.93655 0.000 1.000
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#> 994EC227-B239-4CEE-AC96-EB5CC0AF583E 1 0.0000 0.92461 1.000 0.000
#> 950933A3-5757-4914-9DC5-C220C2A455FD 2 0.0000 0.93655 0.000 1.000
#> DBDFE95C-F941-407A-BE7D-D43D50143C4D 1 0.9815 0.29229 0.580 0.420
#> D024393C-29D0-41C4-AB86-7E94581FDD26 2 0.0000 0.93655 0.000 1.000
#> 4975AB35-93E5-400D-A429-CEA81BA89FFE 1 0.2603 0.89691 0.956 0.044
#> 666ADCA2-1AE4-4843-B1C8-8EE29C44AE74 1 0.0000 0.92461 1.000 0.000
#> A8F79C08-3943-4707-ADCB-890A955B5394 2 0.0000 0.93655 0.000 1.000
#> A81614ED-14CB-4EBC-988E-F67FBCBF62D8 1 0.0938 0.91784 0.988 0.012
#> E27E65C8-5B57-4C91-9D20-C075AEA2F2C5 1 0.0000 0.92461 1.000 0.000
#> 745F18CA-080D-42FE-BAA6-89AD7E3D3408 2 0.0000 0.93655 0.000 1.000
#> E755A625-799D-4A39-9D56-080228E0B669 1 0.9795 0.30268 0.584 0.416
#> 3D94EFB8-94D4-4FDE-97D8-18A159279996 2 0.0000 0.93655 0.000 1.000
#> 3D305C2E-6C86-4684-AA2A-155291AB4CC3 1 0.0000 0.92461 1.000 0.000
#> E140052A-5434-4C44-9873-0318D1D272CA 2 0.0000 0.93655 0.000 1.000
#> 68E56692-D46D-4A27-86CD-717E10AADDDA 2 0.0000 0.93655 0.000 1.000
#> 00A0586E-5F05-47B3-925C-87E811B0893B 2 0.9833 0.26504 0.424 0.576
#> E2B019A7-7C95-40FE-800C-D30E9730825C 1 0.0000 0.92461 1.000 0.000
#> 1B9ABB69-5CC6-4B6B-ABBC-71CC3274C7F0 1 0.7883 0.69211 0.764 0.236
#> FAE396AA-3C3C-4AF9-953D-385C41B2DB5B 1 0.0000 0.92461 1.000 0.000
#> 6BE4397D-1E5B-4486-83B4-EE0EC146C805 2 0.0000 0.93655 0.000 1.000
#> EE38BD4E-5A08-4639-912F-04203F53762F 1 0.0000 0.92461 1.000 0.000
#> 4050E7F8-80B6-46F2-8FF0-D4EC313E975B 2 0.0376 0.93369 0.004 0.996
#> F3565161-FFBE-4138-9773-558DB386710C 1 0.0000 0.92461 1.000 0.000
#> BA9ABEB1-D3F0-4F09-A647-25211C47C3D0 2 0.0000 0.93655 0.000 1.000
#> 9E41E79A-4028-4F60-8250-411F191B665C 1 0.0000 0.92461 1.000 0.000
#> 5F1D3EFD-ECDA-4C92-8D81-491484F09C95 2 0.9833 0.26494 0.424 0.576
#> 0DBA04CB-417D-4E2B-BE83-3563F45291C4 1 0.0000 0.92461 1.000 0.000
#> B9B882A5-194B-4F5C-B702-0CF71CA6D9D2 2 0.0000 0.93655 0.000 1.000
#> 67FE7638-B8F5-4631-B178-AC23B0382983 1 0.0000 0.92461 1.000 0.000
#> FE03FC2C-9A4E-4F89-8681-E33DFECCC692 2 0.4562 0.84756 0.096 0.904
#> 2B22B4B7-8A39-435C-BE3B-86FA84C8F941 2 0.0000 0.93655 0.000 1.000
#> 00844B35-C108-4AEC-A687-4A91A2F33E6D 1 0.0000 0.92461 1.000 0.000
#> C221EE7A-6343-4B6D-B322-0A2C0F0B29AF 1 0.0000 0.92461 1.000 0.000
#> B28A6D56-7654-4829-BF1F-657C3C2C10D8 1 0.0000 0.92461 1.000 0.000
#> F4C7BCEC-3CD4-4D9A-89EA-0ED58EA0DCFE 1 0.0000 0.92461 1.000 0.000
#> F06FBFAB-D143-47AE-BEE7-51B48164764F 2 0.9686 0.34097 0.396 0.604
#> 525F522B-E865-4479-AE65-510903ABF46F 2 0.0000 0.93655 0.000 1.000
#> F0CB60E3-C412-46A2-918F-8C5C099AB224 1 0.5737 0.80646 0.864 0.136
#> 587F307F-6E1B-487E-8E47-A99AB43DC5B4 2 0.7453 0.70548 0.212 0.788
#> 883D9145-8414-4571-A3E1-516F03452C46 2 0.7883 0.66903 0.236 0.764
#> 4A917271-7EA0-4F43-B474-7F5EA756EB05 1 0.0000 0.92461 1.000 0.000
#> BB33015D-218C-4A1E-8839-95837D6E9B88 1 0.6973 0.75874 0.812 0.188
#> 021CC81F-710D-4EEA-B1D8-012A81715ACC 1 0.0000 0.92461 1.000 0.000
#> B00C4925-47E3-4442-ABEB-82D714A26587 1 0.0000 0.92461 1.000 0.000
#> F79B27D3-0426-47BB-9756-7E0759246E5E 2 0.0000 0.93655 0.000 1.000
#> 1F179559-D93E-491C-B499-64F86C31DAE0 2 0.9608 0.37297 0.384 0.616
#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 1 0.0000 0.92461 1.000 0.000
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 1 0.8443 0.63340 0.728 0.272
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 1 0.0000 0.92461 1.000 0.000
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 2 0.6887 0.73797 0.184 0.816
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 1 0.4161 0.86616 0.916 0.084
#> ED9794C0-AC60-4B54-8214-D26714871BBF 1 0.0000 0.92461 1.000 0.000
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 2 0.0000 0.93655 0.000 1.000
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 2 0.0000 0.93655 0.000 1.000
#> 18D816AF-394A-482F-B22E-896A43B1E481 2 0.6801 0.74341 0.180 0.820
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 1 0.9933 0.23889 0.548 0.452
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 2 0.0000 0.93655 0.000 1.000
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 2 0.0000 0.93655 0.000 1.000
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 2 0.9850 0.25300 0.428 0.572
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 2 0.6148 0.78866 0.152 0.848
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 2 0.0000 0.93655 0.000 1.000
#> 7E809698-2473-4EFE-B896-1637983EC596 2 0.0000 0.93655 0.000 1.000
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 2 0.0000 0.93655 0.000 1.000
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 2 0.9833 0.26504 0.424 0.576
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 2 0.0000 0.93655 0.000 1.000
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.0000 0.92461 1.000 0.000
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.0000 0.92461 1.000 0.000
#> 73F28A79-7D35-4FE9-849D-FFE681483928 2 0.9833 0.26503 0.424 0.576
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 1 0.0000 0.92461 1.000 0.000
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 2 0.0000 0.93655 0.000 1.000
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 1 0.0000 0.92461 1.000 0.000
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.0000 0.93655 0.000 1.000
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.0000 0.92461 1.000 0.000
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 1 0.0376 0.92241 0.996 0.004
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 1 0.0000 0.92461 1.000 0.000
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 1 0.0000 0.92461 1.000 0.000
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 2 0.0000 0.93655 0.000 1.000
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.0000 0.92461 1.000 0.000
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.0000 0.93655 0.000 1.000
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 2 0.0000 0.93655 0.000 1.000
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.3733 0.87274 0.072 0.928
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 2 0.0000 0.93655 0.000 1.000
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 2 0.0000 0.93655 0.000 1.000
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 1 0.9248 0.51837 0.660 0.340
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 2 0.0000 0.93655 0.000 1.000
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.0000 0.92461 1.000 0.000
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 2 0.9795 0.28797 0.416 0.584
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.0000 0.92461 1.000 0.000
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.0000 0.92461 1.000 0.000
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.0000 0.92461 1.000 0.000
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.0000 0.93655 0.000 1.000
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 1 0.0938 0.91797 0.988 0.012
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.0000 0.92461 1.000 0.000
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 1 0.6973 0.75861 0.812 0.188
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.0000 0.92461 1.000 0.000
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 2 0.1414 0.92118 0.020 0.980
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 2 0.0000 0.93655 0.000 1.000
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 1 0.4161 0.86614 0.916 0.084
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 2 0.0000 0.93655 0.000 1.000
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 2 0.0000 0.93655 0.000 1.000
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 2 0.0000 0.93655 0.000 1.000
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.0000 0.92461 1.000 0.000
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.0000 0.92461 1.000 0.000
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 1 0.0000 0.92461 1.000 0.000
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.0000 0.93655 0.000 1.000
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.0000 0.93655 0.000 1.000
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 2 0.0000 0.93655 0.000 1.000
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 2 0.0000 0.93655 0.000 1.000
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 1 0.9850 0.27006 0.572 0.428
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 2 0.0000 0.93655 0.000 1.000
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 2 0.0000 0.93655 0.000 1.000
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 2 0.0000 0.93655 0.000 1.000
#> CA356591-D24F-41A8-8C9A-1178C7781510 2 0.0000 0.93655 0.000 1.000
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 1 0.0000 0.92461 1.000 0.000
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.0000 0.92461 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 3 0.3752 0.7706 0.000 0.144 0.856
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 2 0.5327 0.8366 0.000 0.728 0.272
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 3 0.1411 0.8567 0.000 0.036 0.964
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.4796 0.8915 0.000 0.780 0.220
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 3 0.0424 0.8569 0.000 0.008 0.992
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 1 0.6699 0.6421 0.744 0.164 0.092
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 3 0.3038 0.8116 0.000 0.104 0.896
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 3 0.1289 0.8580 0.000 0.032 0.968
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.4796 0.8915 0.000 0.780 0.220
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.4796 0.8915 0.000 0.780 0.220
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.4842 0.8883 0.000 0.776 0.224
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.0592 0.8607 0.000 0.012 0.988
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.0000 0.8909 1.000 0.000 0.000
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.4796 0.8915 0.000 0.780 0.220
#> ECB2DF14-CF68-44D4-8719-973AE448B992 1 0.7781 0.7397 0.664 0.220 0.116
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 3 0.3941 0.7561 0.000 0.156 0.844
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 3 0.8081 0.5164 0.136 0.220 0.644
#> 3282F146-2782-4877-9EFE-6020AC277A8C 3 0.3038 0.8116 0.000 0.104 0.896
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 3 0.6897 0.6092 0.068 0.220 0.712
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 3 0.6291 0.6578 0.080 0.152 0.768
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.4796 0.8915 0.000 0.780 0.220
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 3 0.1163 0.8592 0.000 0.028 0.972
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.4796 0.8915 0.000 0.780 0.220
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 3 0.5378 0.6370 0.236 0.008 0.756
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 3 0.4796 0.6707 0.000 0.220 0.780
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 3 0.0892 0.8607 0.000 0.020 0.980
#> C945DDA9-0194-46F4-89E2-13883284D5A4 3 0.0892 0.8607 0.000 0.020 0.980
#> 79B11925-9772-474F-A729-D00315959710 1 0.0000 0.8909 1.000 0.000 0.000
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 2 0.5621 0.7836 0.000 0.692 0.308
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 1 0.5553 0.6844 0.724 0.004 0.272
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 3 0.7444 0.5829 0.096 0.220 0.684
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.5643 0.7978 0.760 0.220 0.020
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.6305 0.3811 0.000 0.516 0.484
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 3 0.1877 0.8519 0.032 0.012 0.956
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.0424 0.8569 0.000 0.008 0.992
#> 26796E5F-C0C2-466C-9012-882F6D29C149 3 0.0892 0.8607 0.000 0.020 0.980
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#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.4796 0.8915 0.000 0.780 0.220
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.0000 0.8909 1.000 0.000 0.000
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 1 0.1163 0.8851 0.972 0.000 0.028
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 1 0.0892 0.8877 0.980 0.000 0.020
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 1 0.0000 0.8909 1.000 0.000 0.000
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.0892 0.8607 0.000 0.020 0.980
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.0000 0.8909 1.000 0.000 0.000
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.4796 0.8915 0.000 0.780 0.220
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 3 0.0424 0.8569 0.000 0.008 0.992
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.5414 0.6516 0.212 0.772 0.016
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 3 0.4062 0.7528 0.000 0.164 0.836
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 3 0.5016 0.6240 0.000 0.240 0.760
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 1 0.8179 0.3953 0.564 0.084 0.352
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 3 0.4399 0.7110 0.000 0.188 0.812
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.0000 0.8909 1.000 0.000 0.000
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.0424 0.8569 0.000 0.008 0.992
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.0000 0.8909 1.000 0.000 0.000
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.0237 0.8892 0.996 0.004 0.000
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.0000 0.8909 1.000 0.000 0.000
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.4796 0.8915 0.000 0.780 0.220
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 3 0.5894 0.6518 0.028 0.220 0.752
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.1315 0.8858 0.972 0.008 0.020
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 1 0.9082 0.3146 0.468 0.140 0.392
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.0000 0.8909 1.000 0.000 0.000
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 3 0.0424 0.8569 0.000 0.008 0.992
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 3 0.3752 0.7706 0.000 0.144 0.856
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 3 0.4099 0.7539 0.140 0.008 0.852
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 3 0.1031 0.8601 0.000 0.024 0.976
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 3 0.3038 0.8116 0.000 0.104 0.896
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 3 0.1031 0.8601 0.000 0.024 0.976
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.0000 0.8909 1.000 0.000 0.000
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.4605 0.7544 0.796 0.000 0.204
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 1 0.8675 0.6762 0.596 0.220 0.184
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.4796 0.8915 0.000 0.780 0.220
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.4796 0.8915 0.000 0.780 0.220
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 3 0.1031 0.8601 0.000 0.024 0.976
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.3941 0.7624 0.000 0.156 0.844
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.5216 0.5820 0.260 0.740 0.000
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 3 0.3116 0.8085 0.000 0.108 0.892
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 3 0.3038 0.8116 0.000 0.104 0.896
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 2 0.6274 0.5078 0.000 0.544 0.456
#> CA356591-D24F-41A8-8C9A-1178C7781510 3 0.3412 0.7924 0.000 0.124 0.876
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.6722 0.6177 0.060 0.220 0.720
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.0000 0.8909 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 3 0.0779 7.61e-01 0.000 0.016 0.980 0.004
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 2 0.2924 8.26e-01 0.000 0.884 0.100 0.016
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 3 0.0524 7.62e-01 0.000 0.008 0.988 0.004
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.0817 8.94e-01 0.000 0.976 0.024 0.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 3 0.0188 7.63e-01 0.000 0.004 0.996 0.000
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 1 0.5080 6.10e-01 0.744 0.216 0.012 0.028
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 3 0.0779 7.61e-01 0.000 0.016 0.980 0.004
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 3 0.0804 7.62e-01 0.000 0.008 0.980 0.012
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.0817 8.94e-01 0.000 0.976 0.024 0.000
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.0817 8.94e-01 0.000 0.976 0.024 0.000
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.1042 8.91e-01 0.000 0.972 0.020 0.008
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.4228 6.98e-01 0.000 0.008 0.760 0.232
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.0469 8.62e-01 0.988 0.012 0.000 0.000
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.1004 8.94e-01 0.000 0.972 0.024 0.004
#> ECB2DF14-CF68-44D4-8719-973AE448B992 4 0.0657 7.30e-01 0.012 0.000 0.004 0.984
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 3 0.1575 7.53e-01 0.012 0.028 0.956 0.004
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 4 0.0779 7.29e-01 0.004 0.000 0.016 0.980
#> 3282F146-2782-4877-9EFE-6020AC277A8C 3 0.0592 7.61e-01 0.000 0.016 0.984 0.000
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 4 0.1824 7.10e-01 0.004 0.000 0.060 0.936
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 4 0.7899 1.46e-01 0.004 0.280 0.276 0.440
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.1151 8.93e-01 0.000 0.968 0.024 0.008
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 3 0.4360 6.94e-01 0.000 0.008 0.744 0.248
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.0817 8.94e-01 0.000 0.976 0.024 0.000
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 3 0.6257 3.58e-01 0.048 0.004 0.536 0.412
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 4 0.0469 7.31e-01 0.000 0.000 0.012 0.988
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 3 0.4690 6.60e-01 0.000 0.012 0.712 0.276
#> C945DDA9-0194-46F4-89E2-13883284D5A4 3 0.2928 7.59e-01 0.000 0.012 0.880 0.108
#> 79B11925-9772-474F-A729-D00315959710 1 0.0469 8.62e-01 0.988 0.012 0.000 0.000
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 2 0.5070 3.81e-01 0.000 0.580 0.416 0.004
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 4 0.7971 3.29e-01 0.312 0.004 0.272 0.412
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 4 0.0524 7.30e-01 0.004 0.000 0.008 0.988
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 4 0.3311 5.75e-01 0.172 0.000 0.000 0.828
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.5497 3.07e-02 0.000 0.524 0.460 0.016
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 3 0.5444 4.86e-01 0.008 0.008 0.592 0.392
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.5334 4.62e-01 0.008 0.004 0.588 0.400
#> 26796E5F-C0C2-466C-9012-882F6D29C149 3 0.1970 7.67e-01 0.000 0.008 0.932 0.060
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 0.1209 8.44e-01 0.964 0.000 0.004 0.032
#> 1492D21A-6458-4B49-B530-7A327FCDD031 1 0.5236 2.16e-01 0.560 0.000 0.008 0.432
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 4 0.3569 5.39e-01 0.196 0.000 0.000 0.804
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 3 0.1247 7.55e-01 0.012 0.016 0.968 0.004
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.0469 8.62e-01 0.988 0.012 0.000 0.000
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 4 0.0376 7.30e-01 0.004 0.000 0.004 0.992
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.0817 8.94e-01 0.000 0.976 0.024 0.000
#> E846120D-D9E6-46F8-9647-2272AB064072 1 0.1970 8.32e-01 0.932 0.008 0.000 0.060
#> 36880C8C-91A9-49A9-A2D5-957161737F31 2 0.4992 4.95e-02 0.476 0.524 0.000 0.000
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.0817 8.71e-01 0.024 0.976 0.000 0.000
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 2 0.0895 8.91e-01 0.000 0.976 0.020 0.004
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 1 0.2888 7.73e-01 0.872 0.000 0.004 0.124
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 3 0.5452 4.02e-01 0.016 0.000 0.556 0.428
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 2 0.0895 8.91e-01 0.000 0.976 0.020 0.004
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 3 0.0707 7.61e-01 0.000 0.020 0.980 0.000
#> 116F3F29-AB89-4F00-9003-559041E285EB 3 0.0592 7.62e-01 0.000 0.016 0.984 0.000
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.1302 8.84e-01 0.000 0.956 0.044 0.000
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 3 0.7614 1.31e-01 0.140 0.012 0.436 0.412
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 3 0.2654 7.14e-01 0.000 0.108 0.888 0.004
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 4 0.5193 8.84e-05 0.000 0.008 0.412 0.580
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 1 0.0469 8.62e-01 0.988 0.012 0.000 0.000
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 2 0.2329 8.59e-01 0.000 0.916 0.072 0.012
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 3 0.5582 6.48e-01 0.000 0.168 0.724 0.108
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.0469 8.62e-01 0.988 0.012 0.000 0.000
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 3 0.3808 7.35e-01 0.000 0.012 0.812 0.176
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.0707 8.73e-01 0.020 0.980 0.000 0.000
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 3 0.5080 4.40e-01 0.000 0.004 0.576 0.420
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 3 0.6801 2.71e-01 0.084 0.004 0.496 0.416
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 3 0.2088 7.39e-01 0.004 0.064 0.928 0.004
#> CD576099-5450-4232-9B59-08341BED8FFA 3 0.2610 7.64e-01 0.000 0.012 0.900 0.088
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 3 0.1970 7.39e-01 0.000 0.060 0.932 0.008
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 1 0.0469 8.62e-01 0.988 0.012 0.000 0.000
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 1 0.0469 8.62e-01 0.988 0.012 0.000 0.000
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 2 0.1356 8.91e-01 0.000 0.960 0.032 0.008
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 3 0.0927 7.60e-01 0.000 0.008 0.976 0.016
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 3 0.0376 7.62e-01 0.000 0.004 0.992 0.004
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 1 0.0376 8.58e-01 0.992 0.000 0.004 0.004
#> 57E380FC-B6AB-466F-9936-D52192888008 1 0.2149 8.14e-01 0.912 0.000 0.000 0.088
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 3 0.0707 7.61e-01 0.000 0.020 0.980 0.000
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 1 0.0188 8.58e-01 0.996 0.000 0.004 0.000
#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 3 0.6762 1.01e-01 0.000 0.104 0.536 0.360
#> 1D4F0B66-720D-484D-B8D5-2B290ED208A8 3 0.0188 7.63e-01 0.000 0.004 0.996 0.000
#> C886CA33-5080-4E3E-88A2-F9A3CF03A857 3 0.5363 5.20e-01 0.012 0.004 0.612 0.372
#> 9AC963E4-F82D-460E-9CAD-C651B879780A 2 0.3356 7.80e-01 0.000 0.824 0.176 0.000
#> 1B6CF403-D0AE-4FFE-A884-660A58F32660 3 0.1388 7.67e-01 0.000 0.012 0.960 0.028
#> B33316E1-11FD-4C10-956A-C9C6F78508C5 1 0.4585 4.84e-01 0.668 0.000 0.000 0.332
#> BB02EF6A-C57D-4A79-99C1-ED43A72FFAF7 2 0.1151 8.93e-01 0.000 0.968 0.024 0.008
#> 4DBA59AD-9393-4BE6-88CB-852C62C4A334 3 0.0707 7.61e-01 0.000 0.020 0.980 0.000
#> 7887EDC4-A0D7-4E57-B3A1-330A5683457D 4 0.2408 6.60e-01 0.104 0.000 0.000 0.896
#> 2CD3AC14-46FB-4260-AE5C-4305C68D49BC 3 0.4482 6.65e-01 0.000 0.008 0.728 0.264
#> BAB8FA79-208A-488D-B955-806263E5D6BB 3 0.0469 7.62e-01 0.000 0.012 0.988 0.000
#> 98C990E7-7E3B-4200-A88D-E641931302EA 1 0.0469 8.62e-01 0.988 0.012 0.000 0.000
#> 894EE382-5ACA-4DEB-9267-99ADBEF6DA19 3 0.0804 7.61e-01 0.000 0.012 0.980 0.008
#> 98795F95-D26D-438A-AF46-B3BC3553F020 3 0.7770 1.33e-01 0.164 0.012 0.448 0.376
#> 9AD4C328-1554-4C92-931C-30CE8F305FDE 1 0.0469 8.62e-01 0.988 0.012 0.000 0.000
#> 4D1518D9-D968-4E7F-A702-5157A1A2E83E 1 0.0469 8.62e-01 0.988 0.012 0.000 0.000
#> A6E8AF8C-5D7B-4197-990B-786A869ACB96 1 0.6580 3.95e-01 0.640 0.004 0.136 0.220
#> DF8B4E19-8C78-4A68-8FAE-DFF01076BC97 2 0.3672 7.69e-01 0.000 0.824 0.164 0.012
#> 8D2C608F-3280-4CA2-B996-9AE3DBDBBD28 3 0.5436 7.05e-01 0.000 0.092 0.732 0.176
#> E7BCBD8D-1219-4A99-948A-47A258A5CD8B 3 0.0592 7.62e-01 0.000 0.016 0.984 0.000
#> 2C9633A5-8ACB-4D16-8120-F098BA14BB04 2 0.0895 8.92e-01 0.000 0.976 0.020 0.004
#> 985D9304-E4DA-4038-B235-067CBFEAC902 2 0.0817 8.94e-01 0.000 0.976 0.024 0.000
#> D34CE243-6F4F-4158-9FC4-77E1640E8A91 2 0.0707 8.91e-01 0.000 0.980 0.020 0.000
#> 65131575-48D3-42C2-B411-3DB871EF5EE1 3 0.2859 7.53e-01 0.008 0.000 0.880 0.112
#> 1AE13DFA-670C-43EE-9898-8FA831AEDDB3 3 0.0469 7.62e-01 0.000 0.012 0.988 0.000
#> 3ACDCD29-1B8D-455D-9EE9-D6C903B16D09 4 0.1004 7.26e-01 0.024 0.000 0.004 0.972
#> C6FBC35B-0113-4F00-BE1A-831D2C551055 3 0.6834 2.81e-01 0.068 0.012 0.496 0.424
#> A8F3285D-A85E-4E73-9D20-9D14AA51916B 3 0.0707 7.61e-01 0.000 0.020 0.980 0.000
#> 51601A73-2D75-4056-AEBB-8FF8DB813450 3 0.3231 7.55e-01 0.004 0.012 0.868 0.116
#> 75021778-A96B-4F57-8C26-68E8F33D7EB7 3 0.4452 6.81e-01 0.000 0.008 0.732 0.260
#> 71FFB439-22A1-4EBB-AEA6-A6BCA8CA6648 3 0.5731 4.20e-01 0.012 0.012 0.564 0.412
#> BEDB0135-0A26-44EF-9028-C4907403B110 3 0.3498 7.42e-01 0.000 0.008 0.832 0.160
#> 3B8BA56B-0E7B-4754-8729-8D613D0484E1 1 0.2408 7.99e-01 0.896 0.000 0.000 0.104
#> 100BF963-6103-45E6-A760-E44649580CF5 4 0.5748 3.39e-01 0.012 0.012 0.420 0.556
#> C26F21EA-5911-483F-BF64-03904BF93A20 3 0.7174 4.87e-01 0.012 0.132 0.576 0.280
#> 9E50162D-8149-41D2-86C1-1C892EB98DFA 3 0.1394 7.55e-01 0.016 0.012 0.964 0.008
#> 09521B29-B002-4AAD-93F1-6E600DD31515 2 0.1004 8.94e-01 0.000 0.972 0.024 0.004
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#> CA356591-D24F-41A8-8C9A-1178C7781510 3 0.0779 7.61e-01 0.000 0.016 0.980 0.004
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 4 0.0657 7.30e-01 0.004 0.000 0.012 0.984
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.0469 8.62e-01 0.988 0.012 0.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 4 0.0290 0.672104 0.000 0.000 0.008 0.992 0.000
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 2 0.3774 0.698865 0.000 0.780 0.200 0.012 0.008
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 4 0.1892 0.643743 0.000 0.000 0.080 0.916 0.004
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.0162 0.858864 0.000 0.996 0.000 0.004 0.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 4 0.0510 0.673074 0.000 0.000 0.016 0.984 0.000
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 3 0.6523 -0.143267 0.380 0.152 0.460 0.000 0.008
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 4 0.0162 0.672707 0.000 0.000 0.004 0.996 0.000
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 4 0.1041 0.667894 0.000 0.000 0.032 0.964 0.004
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.0290 0.858704 0.000 0.992 0.000 0.008 0.000
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.0162 0.858864 0.000 0.996 0.000 0.004 0.000
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.0579 0.855454 0.000 0.984 0.008 0.000 0.008
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 4 0.4538 0.262398 0.000 0.000 0.452 0.540 0.008
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.0000 0.849886 1.000 0.000 0.000 0.000 0.000
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.0290 0.858704 0.000 0.992 0.000 0.008 0.000
#> ECB2DF14-CF68-44D4-8719-973AE448B992 5 0.0510 0.917886 0.000 0.000 0.016 0.000 0.984
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 4 0.1851 0.649694 0.000 0.000 0.088 0.912 0.000
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 5 0.2605 0.789553 0.000 0.000 0.148 0.000 0.852
#> 3282F146-2782-4877-9EFE-6020AC277A8C 4 0.0162 0.673324 0.000 0.000 0.004 0.996 0.000
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 5 0.0771 0.908807 0.000 0.000 0.020 0.004 0.976
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 3 0.4883 0.650527 0.000 0.072 0.772 0.088 0.068
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.0290 0.858704 0.000 0.992 0.000 0.008 0.000
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 3 0.4323 0.341151 0.000 0.000 0.656 0.332 0.012
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.0162 0.858864 0.000 0.996 0.000 0.004 0.000
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 3 0.2520 0.658746 0.004 0.000 0.888 0.096 0.012
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 5 0.0510 0.917747 0.000 0.000 0.016 0.000 0.984
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 3 0.4894 -0.009941 0.000 0.000 0.520 0.456 0.024
#> C945DDA9-0194-46F4-89E2-13883284D5A4 4 0.4327 0.431128 0.000 0.000 0.360 0.632 0.008
#> 79B11925-9772-474F-A729-D00315959710 1 0.0290 0.850579 0.992 0.000 0.008 0.000 0.000
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 4 0.3582 0.494157 0.000 0.224 0.008 0.768 0.000
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 3 0.2922 0.662995 0.024 0.000 0.880 0.080 0.016
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 5 0.0404 0.919077 0.000 0.000 0.012 0.000 0.988
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 5 0.0898 0.908141 0.020 0.000 0.008 0.000 0.972
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.6476 0.356244 0.000 0.564 0.232 0.188 0.016
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 3 0.3081 0.633980 0.000 0.000 0.832 0.156 0.012
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.4054 0.527280 0.000 0.000 0.732 0.248 0.020
#> 26796E5F-C0C2-466C-9012-882F6D29C149 4 0.4290 0.497291 0.000 0.000 0.304 0.680 0.016
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 0.3366 0.760751 0.784 0.000 0.212 0.000 0.004
#> 1492D21A-6458-4B49-B530-7A327FCDD031 3 0.6349 0.140156 0.244 0.000 0.524 0.000 0.232
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 5 0.0912 0.902036 0.016 0.000 0.012 0.000 0.972
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 4 0.2719 0.618344 0.000 0.004 0.144 0.852 0.000
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.0162 0.850278 0.996 0.000 0.004 0.000 0.000
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 5 0.0510 0.917747 0.000 0.000 0.016 0.000 0.984
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.0162 0.858864 0.000 0.996 0.000 0.004 0.000
#> E846120D-D9E6-46F8-9647-2272AB064072 1 0.1082 0.843076 0.964 0.000 0.008 0.000 0.028
#> 36880C8C-91A9-49A9-A2D5-957161737F31 2 0.4559 0.116792 0.480 0.512 0.008 0.000 0.000
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.0324 0.856683 0.004 0.992 0.004 0.000 0.000
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 2 0.0000 0.858283 0.000 1.000 0.000 0.000 0.000
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 1 0.4510 0.438492 0.560 0.000 0.432 0.000 0.008
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 3 0.3620 0.658974 0.000 0.000 0.824 0.108 0.068
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 2 0.0000 0.858283 0.000 1.000 0.000 0.000 0.000
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 4 0.2068 0.643791 0.000 0.004 0.092 0.904 0.000
#> 116F3F29-AB89-4F00-9003-559041E285EB 4 0.1205 0.667356 0.000 0.004 0.040 0.956 0.000
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.2125 0.821765 0.000 0.920 0.052 0.024 0.004
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 3 0.3304 0.657767 0.028 0.004 0.872 0.040 0.056
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 4 0.0867 0.671870 0.000 0.008 0.008 0.976 0.008
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 3 0.6406 0.358462 0.000 0.000 0.484 0.188 0.328
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 1 0.0000 0.849886 1.000 0.000 0.000 0.000 0.000
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 2 0.5178 0.614116 0.000 0.704 0.076 0.204 0.016
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 4 0.6405 0.346801 0.000 0.120 0.352 0.512 0.016
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.0000 0.849886 1.000 0.000 0.000 0.000 0.000
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 4 0.4533 0.268932 0.000 0.000 0.448 0.544 0.008
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.0000 0.858283 0.000 1.000 0.000 0.000 0.000
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 3 0.4325 0.547759 0.000 0.000 0.736 0.220 0.044
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 3 0.2130 0.661360 0.000 0.000 0.908 0.080 0.012
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 4 0.3519 0.551214 0.000 0.008 0.216 0.776 0.000
#> CD576099-5450-4232-9B59-08341BED8FFA 4 0.4713 0.304215 0.000 0.000 0.440 0.544 0.016
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 4 0.1892 0.643625 0.000 0.004 0.080 0.916 0.000
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 1 0.0162 0.849913 0.996 0.000 0.004 0.000 0.000
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 1 0.0324 0.850437 0.992 0.000 0.004 0.000 0.004
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 2 0.3099 0.756907 0.000 0.848 0.012 0.132 0.008
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 4 0.2077 0.642201 0.000 0.000 0.084 0.908 0.008
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 4 0.1043 0.668743 0.000 0.000 0.040 0.960 0.000
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 1 0.2966 0.816102 0.848 0.000 0.136 0.000 0.016
#> 57E380FC-B6AB-466F-9936-D52192888008 1 0.3649 0.802486 0.824 0.000 0.088 0.000 0.088
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 4 0.2068 0.643791 0.000 0.004 0.092 0.904 0.000
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 1 0.2286 0.830397 0.888 0.000 0.108 0.000 0.004
#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 4 0.5484 0.288725 0.000 0.008 0.072 0.624 0.296
#> 1D4F0B66-720D-484D-B8D5-2B290ED208A8 4 0.0510 0.672641 0.000 0.000 0.016 0.984 0.000
#> C886CA33-5080-4E3E-88A2-F9A3CF03A857 3 0.2777 0.650498 0.000 0.000 0.864 0.120 0.016
#> 9AC963E4-F82D-460E-9CAD-C651B879780A 2 0.4196 0.501902 0.000 0.640 0.004 0.356 0.000
#> 1B6CF403-D0AE-4FFE-A884-660A58F32660 4 0.4251 0.482470 0.000 0.000 0.316 0.672 0.012
#> B33316E1-11FD-4C10-956A-C9C6F78508C5 1 0.6012 0.352319 0.484 0.000 0.400 0.000 0.116
#> BB02EF6A-C57D-4A79-99C1-ED43A72FFAF7 2 0.0579 0.856908 0.000 0.984 0.000 0.008 0.008
#> 4DBA59AD-9393-4BE6-88CB-852C62C4A334 4 0.1502 0.662808 0.000 0.004 0.056 0.940 0.000
#> 7887EDC4-A0D7-4E57-B3A1-330A5683457D 5 0.0566 0.918103 0.004 0.000 0.012 0.000 0.984
#> 2CD3AC14-46FB-4260-AE5C-4305C68D49BC 4 0.5240 0.350204 0.000 0.000 0.360 0.584 0.056
#> BAB8FA79-208A-488D-B955-806263E5D6BB 4 0.0290 0.673126 0.000 0.000 0.008 0.992 0.000
#> 98C990E7-7E3B-4200-A88D-E641931302EA 1 0.0290 0.848975 0.992 0.000 0.008 0.000 0.000
#> 894EE382-5ACA-4DEB-9267-99ADBEF6DA19 4 0.2771 0.638429 0.000 0.000 0.128 0.860 0.012
#> 98795F95-D26D-438A-AF46-B3BC3553F020 3 0.4183 0.640751 0.040 0.004 0.820 0.088 0.048
#> 9AD4C328-1554-4C92-931C-30CE8F305FDE 1 0.0000 0.849886 1.000 0.000 0.000 0.000 0.000
#> 4D1518D9-D968-4E7F-A702-5157A1A2E83E 1 0.0162 0.849913 0.996 0.000 0.004 0.000 0.000
#> A6E8AF8C-5D7B-4197-990B-786A869ACB96 3 0.6209 -0.028036 0.396 0.000 0.508 0.060 0.036
#> DF8B4E19-8C78-4A68-8FAE-DFF01076BC97 2 0.4015 0.708357 0.000 0.800 0.140 0.052 0.008
#> 8D2C608F-3280-4CA2-B996-9AE3DBDBBD28 4 0.4928 0.330273 0.000 0.008 0.412 0.564 0.016
#> E7BCBD8D-1219-4A99-948A-47A258A5CD8B 4 0.0703 0.671603 0.000 0.000 0.024 0.976 0.000
#> 2C9633A5-8ACB-4D16-8120-F098BA14BB04 2 0.0162 0.858328 0.000 0.996 0.000 0.004 0.000
#> 985D9304-E4DA-4038-B235-067CBFEAC902 2 0.0671 0.854428 0.000 0.980 0.016 0.004 0.000
#> D34CE243-6F4F-4158-9FC4-77E1640E8A91 2 0.0000 0.858283 0.000 1.000 0.000 0.000 0.000
#> 65131575-48D3-42C2-B411-3DB871EF5EE1 4 0.4717 0.200625 0.000 0.000 0.396 0.584 0.020
#> 1AE13DFA-670C-43EE-9898-8FA831AEDDB3 4 0.0290 0.672670 0.000 0.000 0.008 0.992 0.000
#> 3ACDCD29-1B8D-455D-9EE9-D6C903B16D09 5 0.0404 0.919077 0.000 0.000 0.012 0.000 0.988
#> C6FBC35B-0113-4F00-BE1A-831D2C551055 3 0.2927 0.664290 0.000 0.000 0.872 0.068 0.060
#> A8F3285D-A85E-4E73-9D20-9D14AA51916B 4 0.1704 0.657440 0.000 0.004 0.068 0.928 0.000
#> 51601A73-2D75-4056-AEBB-8FF8DB813450 3 0.4706 -0.260392 0.000 0.004 0.500 0.488 0.008
#> 75021778-A96B-4F57-8C26-68E8F33D7EB7 4 0.4803 0.294781 0.000 0.000 0.444 0.536 0.020
#> 71FFB439-22A1-4EBB-AEA6-A6BCA8CA6648 3 0.2784 0.644153 0.000 0.004 0.872 0.108 0.016
#> BEDB0135-0A26-44EF-9028-C4907403B110 4 0.4473 0.365482 0.000 0.000 0.412 0.580 0.008
#> 3B8BA56B-0E7B-4754-8729-8D613D0484E1 1 0.1484 0.833977 0.944 0.000 0.008 0.000 0.048
#> 100BF963-6103-45E6-A760-E44649580CF5 4 0.6819 -0.027689 0.000 0.004 0.300 0.432 0.264
#> C26F21EA-5911-483F-BF64-03904BF93A20 3 0.5482 0.554271 0.000 0.112 0.704 0.156 0.028
#> 9E50162D-8149-41D2-86C1-1C892EB98DFA 4 0.3845 0.503170 0.000 0.004 0.224 0.760 0.012
#> 09521B29-B002-4AAD-93F1-6E600DD31515 2 0.0290 0.858704 0.000 0.992 0.000 0.008 0.000
#> 45FD44A6-7976-4453-BD3F-99D21DA3ECC2 5 0.0865 0.903973 0.024 0.000 0.004 0.000 0.972
#> 9EE0976F-1422-4F65-8837-93A192984CDF 4 0.4595 0.418974 0.000 0.004 0.400 0.588 0.008
#> 2FBAA1AA-39F7-4C58-A7DA-76B1F4B26B2E 2 0.0162 0.857682 0.004 0.996 0.000 0.000 0.000
#> B7A695A4-0B74-41E9-8662-4010C8CA38F0 5 0.0404 0.919077 0.000 0.000 0.012 0.000 0.988
#> E9013476-D037-41EA-921E-E9E62E93B75C 3 0.2464 0.653064 0.000 0.004 0.892 0.092 0.012
#> 13FD88E9-3B06-4CB6-949F-395DDDE4B75B 4 0.4953 0.254739 0.000 0.000 0.440 0.532 0.028
#> 9103E60E-D1FC-4F0F-B2CD-751921E14EBA 5 0.2011 0.849417 0.000 0.000 0.088 0.004 0.908
#> 4AEFB9F1-A55D-472E-A963-5BB3364D9D8C 2 0.4030 0.507198 0.000 0.648 0.000 0.352 0.000
#> 05B80211-2230-436E-BA34-FD48337A5DE0 2 0.0609 0.850749 0.000 0.980 0.020 0.000 0.000
#> 6B206166-85BC-4A1A-BDD2-B249652FC09E 1 0.1117 0.849822 0.964 0.000 0.020 0.000 0.016
#> 3EA60F08-5232-4A97-A656-2A0A2F5CED07 3 0.4090 0.486751 0.000 0.000 0.716 0.268 0.016
#> 9C55C086-682B-4D21-9C77-085CFE45A07E 4 0.3961 0.408865 0.000 0.000 0.248 0.736 0.016
#> B0CE5521-96E9-4087-89EE-309D785C0F96 2 0.1538 0.838696 0.000 0.948 0.036 0.008 0.008
#> 6BF76FE6-F1DA-48F2-B55D-CB106905EA8F 2 0.0579 0.856908 0.000 0.984 0.000 0.008 0.008
#> D2ECDADA-9D0D-4044-8C61-353CCE45C0E6 3 0.4793 0.564083 0.024 0.004 0.760 0.156 0.056
#> 9565D04D-EC61-4EF8-8519-0D84CFB0C794 2 0.0000 0.858283 0.000 1.000 0.000 0.000 0.000
#> EBAFE057-B387-4D2B-8D91-25C83221816D 2 0.6665 0.143483 0.004 0.476 0.336 0.180 0.004
#> 2CDB897D-ABAF-4EBB-837C-05CC7691D20E 5 0.0671 0.911393 0.016 0.000 0.004 0.000 0.980
#> FD2F4E8A-F89C-4016-B275-13FC6B4121E9 4 0.4300 -0.121958 0.000 0.476 0.000 0.524 0.000
#> 1E27DDFF-D487-4CBF-80BC-506CC7C7C74D 4 0.0794 0.668515 0.000 0.000 0.028 0.972 0.000
#> 1DD990EF-74A8-4503-B801-C01D6C171E2E 2 0.2127 0.786218 0.000 0.892 0.000 0.000 0.108
#> 4D2DF3FF-343A-4D29-9230-015131B45BD2 2 0.0579 0.856908 0.000 0.984 0.000 0.008 0.008
#> B9949248-D762-4591-B8D6-C296C2B28D8C 2 0.1770 0.830238 0.000 0.936 0.048 0.008 0.008
#> 2D839843-4C8D-400D-8EFF-2BF9B94A27AA 3 0.3988 0.517392 0.000 0.000 0.732 0.252 0.016
#> 78C429CC-D631-43EA-9049-DAC326C98BDD 3 0.6964 0.000704 0.000 0.232 0.428 0.328 0.012
#> 71241674-DF93-4CA0-A81D-AF85B6479F62 4 0.1991 0.658365 0.000 0.004 0.076 0.916 0.004
#> 76277FC9-E447-49A4-9407-81917C90ECBD 3 0.6393 0.286256 0.260 0.000 0.600 0.068 0.072
#> 79DE0216-2CBB-4057-AC90-0366A494F106 1 0.5000 0.497717 0.576 0.000 0.388 0.000 0.036
#> 3B842084-AE30-4666-B80A-8FA36EF628F3 4 0.6325 0.216053 0.000 0.100 0.432 0.452 0.016
#> 57200367-96F1-48B9-AB7F-DC11EFE866C4 4 0.3236 0.624533 0.000 0.000 0.152 0.828 0.020
#> 219B7654-6065-41D3-964B-C829364CD87B 4 0.4671 0.448364 0.000 0.240 0.040 0.712 0.008
#> 26923D9B-CE8E-400E-93CD-E0EE1401CB9D 4 0.3999 0.522481 0.000 0.000 0.240 0.740 0.020
#> 21B783EB-B0D0-4B28-9468-D0B130D13E26 4 0.4403 0.421691 0.000 0.000 0.384 0.608 0.008
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#> 4BAC0A03-BB88-4D19-86F9-FF093330C9B3 3 0.4693 0.536377 0.000 0.000 0.700 0.244 0.056
#> 18F63ADA-1828-43DD-AE1F-F36706C204CD 4 0.4511 0.428250 0.000 0.000 0.356 0.628 0.016
#> 66729295-C0AA-42C7-92C9-05194EF02276 4 0.4455 0.375756 0.000 0.000 0.404 0.588 0.008
#> 4CCA3104-B557-403D-AC06-A6D4936DDC04 4 0.4419 0.480618 0.000 0.004 0.344 0.644 0.008
#> 77D4165E-7CB1-4D69-AFE5-C8D914531651 2 0.4457 0.545139 0.000 0.656 0.012 0.328 0.004
#> BA12A05A-622A-424D-8108-3F5916405EB0 3 0.4244 0.411342 0.000 0.004 0.712 0.268 0.016
#> DED4EA4D-9DC2-4419-83EC-2BFE75DC1830 2 0.0162 0.858328 0.000 0.996 0.000 0.004 0.000
#> 13A35364-57C5-4F5A-B077-3BA2689BFDD3 3 0.5729 0.591155 0.100 0.004 0.672 0.204 0.020
#> 2641B816-1D21-496E-85AD-1C690C9146A6 4 0.4538 0.280153 0.000 0.000 0.452 0.540 0.008
#> 96E2AD09-7287-4B91-840E-81444A61D56F 2 0.5939 0.460426 0.000 0.624 0.180 0.188 0.008
#> 62F3327F-FB16-4AD0-BCF5-B180F28281A9 2 0.5222 0.606547 0.000 0.680 0.124 0.196 0.000
#> 112F7032-0212-4939-9449-D67E3600CCD5 2 0.0290 0.857640 0.000 0.992 0.000 0.000 0.008
#> A3B4DE21-DDF0-4468-A300-7BECBAFD0BCD 3 0.4908 0.315055 0.044 0.000 0.636 0.000 0.320
#> 0A03E593-6931-419C-AE47-51D75185C2C0 4 0.4054 0.504550 0.000 0.036 0.204 0.760 0.000
#> 2416A3DC-A563-4FD1-A139-0E6EF7185211 2 0.0290 0.858704 0.000 0.992 0.000 0.008 0.000
#> 18B29573-822C-405F-B793-DBC8924866CE 2 0.0162 0.858864 0.000 0.996 0.000 0.004 0.000
#> 994EC227-B239-4CEE-AC96-EB5CC0AF583E 1 0.4627 0.428156 0.544 0.000 0.444 0.000 0.012
#> 950933A3-5757-4914-9DC5-C220C2A455FD 4 0.1952 0.649002 0.000 0.004 0.084 0.912 0.000
#> DBDFE95C-F941-407A-BE7D-D43D50143C4D 2 0.4359 0.315607 0.412 0.584 0.004 0.000 0.000
#> D024393C-29D0-41C4-AB86-7E94581FDD26 4 0.0609 0.669785 0.000 0.000 0.020 0.980 0.000
#> 4975AB35-93E5-400D-A429-CEA81BA89FFE 3 0.2792 0.658014 0.000 0.004 0.884 0.072 0.040
#> 666ADCA2-1AE4-4843-B1C8-8EE29C44AE74 1 0.0880 0.851156 0.968 0.000 0.032 0.000 0.000
#> A8F79C08-3943-4707-ADCB-890A955B5394 2 0.0162 0.858864 0.000 0.996 0.000 0.004 0.000
#> A81614ED-14CB-4EBC-988E-F67FBCBF62D8 1 0.6608 0.443046 0.492 0.276 0.228 0.000 0.004
#> E27E65C8-5B57-4C91-9D20-C075AEA2F2C5 1 0.0290 0.850810 0.992 0.000 0.008 0.000 0.000
#> 745F18CA-080D-42FE-BAA6-89AD7E3D3408 4 0.4944 0.509148 0.000 0.044 0.240 0.700 0.016
#> E755A625-799D-4A39-9D56-080228E0B669 1 0.4383 0.177442 0.572 0.424 0.004 0.000 0.000
#> 3D94EFB8-94D4-4FDE-97D8-18A159279996 3 0.6057 0.329264 0.000 0.312 0.564 0.116 0.008
#> 3D305C2E-6C86-4684-AA2A-155291AB4CC3 1 0.4337 0.742009 0.744 0.000 0.204 0.000 0.052
#> E140052A-5434-4C44-9873-0318D1D272CA 2 0.0000 0.858283 0.000 1.000 0.000 0.000 0.000
#> 68E56692-D46D-4A27-86CD-717E10AADDDA 4 0.0510 0.671582 0.000 0.000 0.016 0.984 0.000
#> 00A0586E-5F05-47B3-925C-87E811B0893B 3 0.3849 0.543189 0.000 0.000 0.752 0.232 0.016
#> E2B019A7-7C95-40FE-800C-D30E9730825C 3 0.7258 0.033435 0.156 0.000 0.416 0.048 0.380
#> 1B9ABB69-5CC6-4B6B-ABBC-71CC3274C7F0 3 0.4691 0.636418 0.068 0.004 0.792 0.064 0.072
#> FAE396AA-3C3C-4AF9-953D-385C41B2DB5B 1 0.5440 0.591862 0.612 0.000 0.300 0.000 0.088
#> 6BE4397D-1E5B-4486-83B4-EE0EC146C805 2 0.0865 0.850215 0.000 0.972 0.024 0.004 0.000
#> EE38BD4E-5A08-4639-912F-04203F53762F 1 0.0162 0.849913 0.996 0.000 0.004 0.000 0.000
#> 4050E7F8-80B6-46F2-8FF0-D4EC313E975B 4 0.4604 0.384438 0.000 0.004 0.404 0.584 0.008
#> F3565161-FFBE-4138-9773-558DB386710C 1 0.2286 0.830397 0.888 0.000 0.108 0.000 0.004
#> BA9ABEB1-D3F0-4F09-A647-25211C47C3D0 2 0.0162 0.858864 0.000 0.996 0.000 0.004 0.000
#> 9E41E79A-4028-4F60-8250-411F191B665C 1 0.0162 0.850278 0.996 0.000 0.004 0.000 0.000
#> 5F1D3EFD-ECDA-4C92-8D81-491484F09C95 3 0.4829 -0.189755 0.000 0.000 0.500 0.480 0.020
#> 0DBA04CB-417D-4E2B-BE83-3563F45291C4 1 0.2127 0.832715 0.892 0.000 0.108 0.000 0.000
#> B9B882A5-194B-4F5C-B702-0CF71CA6D9D2 3 0.6922 -0.060163 0.000 0.240 0.408 0.344 0.008
#> 67FE7638-B8F5-4631-B178-AC23B0382983 5 0.4854 0.563495 0.060 0.000 0.260 0.000 0.680
#> FE03FC2C-9A4E-4F89-8681-E33DFECCC692 2 0.0000 0.858283 0.000 1.000 0.000 0.000 0.000
#> 2B22B4B7-8A39-435C-BE3B-86FA84C8F941 4 0.1012 0.673158 0.000 0.000 0.020 0.968 0.012
#> 00844B35-C108-4AEC-A687-4A91A2F33E6D 1 0.2011 0.836966 0.908 0.000 0.088 0.000 0.004
#> C221EE7A-6343-4B6D-B322-0A2C0F0B29AF 1 0.3527 0.777408 0.792 0.000 0.192 0.000 0.016
#> B28A6D56-7654-4829-BF1F-657C3C2C10D8 3 0.5352 -0.102434 0.408 0.000 0.536 0.000 0.056
#> F4C7BCEC-3CD4-4D9A-89EA-0ED58EA0DCFE 5 0.0955 0.898672 0.028 0.000 0.004 0.000 0.968
#> F06FBFAB-D143-47AE-BEE7-51B48164764F 2 0.5260 0.072751 0.000 0.508 0.456 0.016 0.020
#> 525F522B-E865-4479-AE65-510903ABF46F 4 0.4538 0.416945 0.000 0.000 0.364 0.620 0.016
#> F0CB60E3-C412-46A2-918F-8C5C099AB224 5 0.0566 0.917532 0.000 0.000 0.012 0.004 0.984
#> 587F307F-6E1B-487E-8E47-A99AB43DC5B4 3 0.4460 0.029850 0.000 0.004 0.600 0.392 0.004
#> 883D9145-8414-4571-A3E1-516F03452C46 3 0.3154 0.631658 0.000 0.004 0.836 0.148 0.012
#> 4A917271-7EA0-4F43-B474-7F5EA756EB05 1 0.0000 0.849886 1.000 0.000 0.000 0.000 0.000
#> BB33015D-218C-4A1E-8839-95837D6E9B88 3 0.1969 0.659411 0.008 0.004 0.932 0.044 0.012
#> 021CC81F-710D-4EEA-B1D8-012A81715ACC 1 0.4205 0.775829 0.776 0.004 0.164 0.000 0.056
#> B00C4925-47E3-4442-ABEB-82D714A26587 5 0.0510 0.917843 0.000 0.000 0.016 0.000 0.984
#> F79B27D3-0426-47BB-9756-7E0759246E5E 2 0.0162 0.858328 0.000 0.996 0.000 0.004 0.000
#> 1F179559-D93E-491C-B499-64F86C31DAE0 5 0.4570 0.354233 0.000 0.000 0.348 0.020 0.632
#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 5 0.0404 0.919077 0.000 0.000 0.012 0.000 0.988
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 3 0.2166 0.654223 0.000 0.004 0.912 0.072 0.012
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 3 0.4540 0.290076 0.020 0.000 0.640 0.000 0.340
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 2 0.3109 0.688460 0.000 0.800 0.000 0.000 0.200
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 3 0.5305 0.494182 0.180 0.012 0.724 0.024 0.060
#> ED9794C0-AC60-4B54-8214-D26714871BBF 1 0.0162 0.849913 0.996 0.000 0.004 0.000 0.000
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 4 0.4070 0.476281 0.000 0.012 0.256 0.728 0.004
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 2 0.0162 0.858864 0.000 0.996 0.000 0.004 0.000
#> 18D816AF-394A-482F-B22E-896A43B1E481 2 0.4030 0.446161 0.000 0.648 0.000 0.000 0.352
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 3 0.6285 0.269727 0.108 0.000 0.484 0.396 0.012
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 4 0.3123 0.597529 0.000 0.000 0.184 0.812 0.004
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 2 0.2077 0.808320 0.000 0.908 0.000 0.084 0.008
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 3 0.4229 0.480695 0.000 0.000 0.704 0.276 0.020
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 3 0.4983 0.522491 0.000 0.000 0.664 0.272 0.064
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 4 0.1522 0.670769 0.000 0.000 0.044 0.944 0.012
#> 7E809698-2473-4EFE-B896-1637983EC596 4 0.2825 0.641181 0.000 0.000 0.124 0.860 0.016
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 4 0.4327 0.437108 0.000 0.000 0.360 0.632 0.008
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 4 0.4811 0.244460 0.000 0.000 0.452 0.528 0.020
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 2 0.4045 0.506839 0.000 0.644 0.000 0.356 0.000
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.1197 0.846738 0.952 0.000 0.048 0.000 0.000
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.0290 0.848975 0.992 0.000 0.008 0.000 0.000
#> 73F28A79-7D35-4FE9-849D-FFE681483928 4 0.6471 0.211166 0.000 0.000 0.236 0.496 0.268
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 1 0.1282 0.842246 0.952 0.000 0.044 0.000 0.004
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 4 0.2068 0.643791 0.000 0.004 0.092 0.904 0.000
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 1 0.0404 0.850764 0.988 0.000 0.012 0.000 0.000
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.0000 0.858283 0.000 1.000 0.000 0.000 0.000
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.0000 0.849886 1.000 0.000 0.000 0.000 0.000
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 3 0.5368 0.203950 0.308 0.000 0.620 0.004 0.068
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 3 0.5583 -0.163625 0.424 0.000 0.504 0.000 0.072
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 1 0.5399 0.376559 0.496 0.000 0.448 0.000 0.056
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 4 0.4467 0.454062 0.000 0.000 0.344 0.640 0.016
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.0000 0.849886 1.000 0.000 0.000 0.000 0.000
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.0000 0.858283 0.000 1.000 0.000 0.000 0.000
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 4 0.5092 0.232037 0.000 0.000 0.440 0.524 0.036
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.0162 0.857728 0.000 0.996 0.004 0.000 0.000
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 4 0.0807 0.672627 0.000 0.012 0.000 0.976 0.012
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 4 0.1701 0.665918 0.000 0.016 0.048 0.936 0.000
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 3 0.4258 0.542268 0.004 0.000 0.744 0.220 0.032
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 4 0.1197 0.661271 0.000 0.000 0.048 0.952 0.000
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.0290 0.848975 0.992 0.000 0.008 0.000 0.000
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.4897 -0.148672 0.000 0.000 0.516 0.460 0.024
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.3048 0.802591 0.820 0.000 0.176 0.000 0.004
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.1851 0.837621 0.912 0.000 0.088 0.000 0.000
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.2763 0.816885 0.848 0.000 0.148 0.000 0.004
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.0000 0.858283 0.000 1.000 0.000 0.000 0.000
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 5 0.0609 0.915852 0.000 0.000 0.020 0.000 0.980
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.4444 0.730858 0.748 0.000 0.180 0.000 0.072
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 3 0.5630 0.415117 0.000 0.000 0.580 0.096 0.324
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.0290 0.848975 0.992 0.000 0.008 0.000 0.000
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 4 0.4958 0.282390 0.000 0.000 0.400 0.568 0.032
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 4 0.0162 0.673324 0.000 0.000 0.004 0.996 0.000
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 3 0.3346 0.647882 0.000 0.000 0.844 0.092 0.064
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 4 0.0404 0.673266 0.000 0.000 0.012 0.988 0.000
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 4 0.0290 0.673209 0.000 0.000 0.008 0.992 0.000
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 4 0.1571 0.661269 0.000 0.004 0.060 0.936 0.000
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.2806 0.812069 0.844 0.000 0.152 0.000 0.004
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 3 0.3067 0.637005 0.120 0.000 0.856 0.012 0.012
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 5 0.0290 0.917742 0.000 0.000 0.008 0.000 0.992
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.0579 0.856908 0.000 0.984 0.000 0.008 0.008
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.0579 0.856908 0.000 0.984 0.000 0.008 0.008
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 4 0.0798 0.674401 0.000 0.000 0.016 0.976 0.008
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 4 0.1369 0.663345 0.000 0.028 0.008 0.956 0.008
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.2773 0.737746 0.164 0.836 0.000 0.000 0.000
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 4 0.2068 0.651169 0.000 0.004 0.092 0.904 0.000
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 4 0.2068 0.643791 0.000 0.004 0.092 0.904 0.000
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 2 0.5286 0.135802 0.000 0.516 0.444 0.032 0.008
#> CA356591-D24F-41A8-8C9A-1178C7781510 4 0.0162 0.672895 0.000 0.000 0.004 0.996 0.000
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 5 0.0609 0.915852 0.000 0.000 0.020 0.000 0.980
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.0451 0.850283 0.988 0.000 0.008 0.000 0.004
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 6 0.3810 0.7035 0.000 0.000 0.428 0.000 0.000 0.572
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 2 0.5832 0.5569 0.000 0.560 0.300 0.000 0.040 0.100
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 6 0.4085 0.4223 0.000 0.000 0.232 0.000 0.052 0.716
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.0000 0.8236 0.000 1.000 0.000 0.000 0.000 0.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 6 0.3810 0.7031 0.000 0.000 0.428 0.000 0.000 0.572
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 5 0.5070 0.3283 0.168 0.092 0.008 0.012 0.708 0.012
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 6 0.3847 0.6785 0.000 0.000 0.456 0.000 0.000 0.544
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 6 0.3930 0.6766 0.000 0.000 0.420 0.000 0.004 0.576
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.1082 0.8245 0.000 0.956 0.040 0.000 0.000 0.004
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.0000 0.8236 0.000 1.000 0.000 0.000 0.000 0.000
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.2920 0.7855 0.000 0.820 0.168 0.000 0.004 0.008
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.3637 0.5099 0.000 0.000 0.780 0.000 0.164 0.056
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.0405 0.7681 0.988 0.000 0.000 0.004 0.000 0.008
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.1588 0.8214 0.000 0.924 0.072 0.000 0.000 0.004
#> ECB2DF14-CF68-44D4-8719-973AE448B992 4 0.0146 0.9135 0.000 0.000 0.000 0.996 0.004 0.000
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 6 0.4458 0.7009 0.000 0.000 0.352 0.000 0.040 0.608
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 4 0.4605 0.5349 0.000 0.000 0.184 0.692 0.124 0.000
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#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 3 0.4171 0.0752 0.000 0.008 0.716 0.000 0.040 0.236
#> 7E809698-2473-4EFE-B896-1637983EC596 3 0.5180 0.1064 0.000 0.004 0.504 0.000 0.076 0.416
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 3 0.3370 0.5061 0.000 0.000 0.812 0.000 0.124 0.064
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 3 0.3752 0.5143 0.000 0.000 0.776 0.004 0.168 0.052
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 2 0.4715 0.3004 0.000 0.536 0.048 0.000 0.000 0.416
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.2258 0.7340 0.896 0.000 0.000 0.000 0.044 0.060
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.0520 0.7669 0.984 0.000 0.000 0.000 0.008 0.008
#> 73F28A79-7D35-4FE9-849D-FFE681483928 3 0.5655 0.4308 0.000 0.000 0.644 0.160 0.140 0.056
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 1 0.1913 0.7463 0.908 0.000 0.000 0.000 0.080 0.012
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 6 0.4511 0.6533 0.000 0.000 0.332 0.000 0.048 0.620
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#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 5 0.5074 0.2452 0.252 0.000 0.000 0.028 0.652 0.068
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.2680 0.5086 0.000 0.000 0.868 0.000 0.056 0.076
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.0000 0.7687 1.000 0.000 0.000 0.000 0.000 0.000
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.0260 0.8221 0.000 0.992 0.000 0.000 0.000 0.008
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 3 0.6515 0.2068 0.000 0.000 0.364 0.020 0.272 0.344
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.1405 0.8229 0.000 0.948 0.024 0.004 0.000 0.024
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 3 0.3536 -0.0692 0.000 0.008 0.736 0.000 0.004 0.252
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 6 0.3986 0.7160 0.000 0.004 0.384 0.000 0.004 0.608
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 5 0.4872 0.4767 0.000 0.000 0.072 0.012 0.652 0.264
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 6 0.3967 0.6898 0.000 0.000 0.356 0.000 0.012 0.632
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.0520 0.7669 0.984 0.000 0.000 0.000 0.008 0.008
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.5814 0.3498 0.000 0.000 0.516 0.004 0.200 0.280
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 5 0.5675 -0.3146 0.428 0.000 0.000 0.008 0.444 0.120
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.4628 0.5500 0.608 0.000 0.000 0.004 0.344 0.044
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.5259 0.3487 0.468 0.000 0.000 0.008 0.452 0.072
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.0146 0.8230 0.000 0.996 0.000 0.000 0.000 0.004
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 4 0.0458 0.9077 0.000 0.000 0.000 0.984 0.016 0.000
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.5453 0.5306 0.584 0.000 0.000 0.032 0.312 0.072
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 5 0.5096 0.5577 0.000 0.000 0.132 0.172 0.676 0.020
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.0520 0.7669 0.984 0.000 0.000 0.000 0.008 0.008
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 6 0.6378 -0.1580 0.000 0.000 0.284 0.016 0.276 0.424
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 6 0.3979 0.6870 0.000 0.004 0.456 0.000 0.000 0.540
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 5 0.5918 0.3542 0.000 0.000 0.192 0.020 0.556 0.232
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 6 0.3817 0.7010 0.000 0.000 0.432 0.000 0.000 0.568
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 6 0.3810 0.7031 0.000 0.000 0.428 0.000 0.000 0.572
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 6 0.4251 0.7064 0.000 0.000 0.348 0.000 0.028 0.624
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 5 0.4740 -0.2465 0.436 0.000 0.000 0.008 0.524 0.032
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 5 0.5163 0.4954 0.032 0.000 0.260 0.004 0.648 0.056
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 4 0.0291 0.9128 0.000 0.000 0.000 0.992 0.004 0.004
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.3043 0.7657 0.000 0.796 0.196 0.000 0.004 0.004
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.3074 0.7629 0.000 0.792 0.200 0.000 0.004 0.004
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 3 0.3881 -0.3886 0.000 0.000 0.600 0.000 0.004 0.396
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.4278 -0.3474 0.000 0.020 0.616 0.000 0.004 0.360
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.2454 0.7560 0.104 0.876 0.000 0.004 0.000 0.016
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 6 0.4219 0.7004 0.000 0.000 0.304 0.000 0.036 0.660
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 6 0.4332 0.6783 0.000 0.000 0.288 0.000 0.048 0.664
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.6143 -0.0895 0.000 0.356 0.492 0.000 0.052 0.100
#> CA356591-D24F-41A8-8C9A-1178C7781510 6 0.3817 0.7023 0.000 0.000 0.432 0.000 0.000 0.568
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 4 0.0458 0.9077 0.000 0.000 0.000 0.984 0.016 0.000
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.3568 0.7160 0.788 0.000 0.000 0.008 0.172 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["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 17888 rows and 430 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'CV' method.
#> Subgroups are detected by 'skmeans' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 3.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.753 0.843 0.937 0.4976 0.501 0.501
#> 3 3 0.808 0.869 0.940 0.3350 0.726 0.507
#> 4 4 0.696 0.638 0.812 0.1166 0.883 0.675
#> 5 5 0.703 0.682 0.826 0.0669 0.883 0.606
#> 6 6 0.691 0.519 0.732 0.0407 0.912 0.623
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
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 2 0.0000 0.9429 0.000 1.000
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 2 0.0000 0.9429 0.000 1.000
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 2 0.0000 0.9429 0.000 1.000
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.0000 0.9429 0.000 1.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 2 0.0000 0.9429 0.000 1.000
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 1 0.0000 0.9138 1.000 0.000
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 2 0.0000 0.9429 0.000 1.000
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 2 0.0000 0.9429 0.000 1.000
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.0000 0.9429 0.000 1.000
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.0000 0.9429 0.000 1.000
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.0938 0.9342 0.012 0.988
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 2 0.9993 -0.0495 0.484 0.516
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.0000 0.9138 1.000 0.000
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.0000 0.9429 0.000 1.000
#> ECB2DF14-CF68-44D4-8719-973AE448B992 1 0.0000 0.9138 1.000 0.000
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 2 0.0000 0.9429 0.000 1.000
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 1 0.0000 0.9138 1.000 0.000
#> 3282F146-2782-4877-9EFE-6020AC277A8C 2 0.0000 0.9429 0.000 1.000
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 1 0.0000 0.9138 1.000 0.000
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 1 0.7528 0.7130 0.784 0.216
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.0000 0.9429 0.000 1.000
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 2 0.0000 0.9429 0.000 1.000
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.0000 0.9429 0.000 1.000
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 1 0.0000 0.9138 1.000 0.000
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 1 0.5408 0.8147 0.876 0.124
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 2 0.7674 0.6676 0.224 0.776
#> C945DDA9-0194-46F4-89E2-13883284D5A4 2 0.1184 0.9310 0.016 0.984
#> 79B11925-9772-474F-A729-D00315959710 1 0.0000 0.9138 1.000 0.000
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 2 0.0000 0.9429 0.000 1.000
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 1 0.0000 0.9138 1.000 0.000
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 1 0.0000 0.9138 1.000 0.000
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.0000 0.9138 1.000 0.000
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.0000 0.9429 0.000 1.000
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 1 0.8499 0.6310 0.724 0.276
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 1 0.9209 0.5331 0.664 0.336
#> 26796E5F-C0C2-466C-9012-882F6D29C149 2 0.0000 0.9429 0.000 1.000
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 0.0000 0.9138 1.000 0.000
#> 1492D21A-6458-4B49-B530-7A327FCDD031 1 0.0000 0.9138 1.000 0.000
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 1 0.0000 0.9138 1.000 0.000
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 2 0.0000 0.9429 0.000 1.000
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.0000 0.9138 1.000 0.000
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 1 0.0000 0.9138 1.000 0.000
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.0000 0.9429 0.000 1.000
#> E846120D-D9E6-46F8-9647-2272AB064072 1 0.0000 0.9138 1.000 0.000
#> 36880C8C-91A9-49A9-A2D5-957161737F31 2 0.9732 0.3247 0.404 0.596
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.2603 0.9063 0.044 0.956
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 2 0.0000 0.9429 0.000 1.000
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 1 0.0000 0.9138 1.000 0.000
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 1 0.4690 0.8362 0.900 0.100
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 2 0.0000 0.9429 0.000 1.000
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 2 0.0000 0.9429 0.000 1.000
#> 116F3F29-AB89-4F00-9003-559041E285EB 2 0.0000 0.9429 0.000 1.000
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.5059 0.8344 0.112 0.888
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 1 0.0000 0.9138 1.000 0.000
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 2 0.0000 0.9429 0.000 1.000
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 1 0.0000 0.9138 1.000 0.000
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 1 0.0000 0.9138 1.000 0.000
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 2 0.0000 0.9429 0.000 1.000
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 2 0.0000 0.9429 0.000 1.000
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.0000 0.9138 1.000 0.000
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 2 0.1843 0.9210 0.028 0.972
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.9358 0.4490 0.352 0.648
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 1 0.9248 0.5257 0.660 0.340
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 1 0.0672 0.9089 0.992 0.008
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 2 0.7602 0.6900 0.220 0.780
#> CD576099-5450-4232-9B59-08341BED8FFA 2 0.0000 0.9429 0.000 1.000
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 2 0.0000 0.9429 0.000 1.000
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 1 0.0000 0.9138 1.000 0.000
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 1 0.0000 0.9138 1.000 0.000
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 2 0.0000 0.9429 0.000 1.000
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 1 0.9998 0.0294 0.508 0.492
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 2 0.2603 0.9062 0.044 0.956
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 1 0.0000 0.9138 1.000 0.000
#> 57E380FC-B6AB-466F-9936-D52192888008 1 0.0000 0.9138 1.000 0.000
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 2 0.0000 0.9429 0.000 1.000
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 1 0.0000 0.9138 1.000 0.000
#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 2 0.9580 0.3838 0.380 0.620
#> 1D4F0B66-720D-484D-B8D5-2B290ED208A8 2 0.0000 0.9429 0.000 1.000
#> C886CA33-5080-4E3E-88A2-F9A3CF03A857 1 0.9248 0.5253 0.660 0.340
#> 9AC963E4-F82D-460E-9CAD-C651B879780A 2 0.0000 0.9429 0.000 1.000
#> 1B6CF403-D0AE-4FFE-A884-660A58F32660 2 0.0000 0.9429 0.000 1.000
#> B33316E1-11FD-4C10-956A-C9C6F78508C5 1 0.0000 0.9138 1.000 0.000
#> BB02EF6A-C57D-4A79-99C1-ED43A72FFAF7 2 0.0000 0.9429 0.000 1.000
#> 4DBA59AD-9393-4BE6-88CB-852C62C4A334 2 0.0000 0.9429 0.000 1.000
#> 7887EDC4-A0D7-4E57-B3A1-330A5683457D 1 0.0000 0.9138 1.000 0.000
#> 2CD3AC14-46FB-4260-AE5C-4305C68D49BC 2 0.0000 0.9429 0.000 1.000
#> BAB8FA79-208A-488D-B955-806263E5D6BB 2 0.0000 0.9429 0.000 1.000
#> 98C990E7-7E3B-4200-A88D-E641931302EA 1 0.0000 0.9138 1.000 0.000
#> 894EE382-5ACA-4DEB-9267-99ADBEF6DA19 2 0.0000 0.9429 0.000 1.000
#> 98795F95-D26D-438A-AF46-B3BC3553F020 1 0.0000 0.9138 1.000 0.000
#> 9AD4C328-1554-4C92-931C-30CE8F305FDE 1 0.0000 0.9138 1.000 0.000
#> 4D1518D9-D968-4E7F-A702-5157A1A2E83E 1 0.0000 0.9138 1.000 0.000
#> A6E8AF8C-5D7B-4197-990B-786A869ACB96 1 0.0000 0.9138 1.000 0.000
#> DF8B4E19-8C78-4A68-8FAE-DFF01076BC97 2 0.0000 0.9429 0.000 1.000
#> 8D2C608F-3280-4CA2-B996-9AE3DBDBBD28 2 0.0000 0.9429 0.000 1.000
#> E7BCBD8D-1219-4A99-948A-47A258A5CD8B 2 0.0000 0.9429 0.000 1.000
#> 2C9633A5-8ACB-4D16-8120-F098BA14BB04 2 0.0000 0.9429 0.000 1.000
#> 985D9304-E4DA-4038-B235-067CBFEAC902 2 0.0000 0.9429 0.000 1.000
#> D34CE243-6F4F-4158-9FC4-77E1640E8A91 2 0.0000 0.9429 0.000 1.000
#> 65131575-48D3-42C2-B411-3DB871EF5EE1 2 0.6712 0.7463 0.176 0.824
#> 1AE13DFA-670C-43EE-9898-8FA831AEDDB3 2 0.0000 0.9429 0.000 1.000
#> 3ACDCD29-1B8D-455D-9EE9-D6C903B16D09 1 0.0000 0.9138 1.000 0.000
#> C6FBC35B-0113-4F00-BE1A-831D2C551055 1 0.0000 0.9138 1.000 0.000
#> A8F3285D-A85E-4E73-9D20-9D14AA51916B 2 0.0000 0.9429 0.000 1.000
#> 51601A73-2D75-4056-AEBB-8FF8DB813450 1 0.8661 0.6141 0.712 0.288
#> 75021778-A96B-4F57-8C26-68E8F33D7EB7 2 0.5737 0.8025 0.136 0.864
#> 71FFB439-22A1-4EBB-AEA6-A6BCA8CA6648 1 0.0000 0.9138 1.000 0.000
#> BEDB0135-0A26-44EF-9028-C4907403B110 2 0.1184 0.9310 0.016 0.984
#> 3B8BA56B-0E7B-4754-8729-8D613D0484E1 1 0.0000 0.9138 1.000 0.000
#> 100BF963-6103-45E6-A760-E44649580CF5 1 0.1633 0.8969 0.976 0.024
#> C26F21EA-5911-483F-BF64-03904BF93A20 1 0.9754 0.2860 0.592 0.408
#> 9E50162D-8149-41D2-86C1-1C892EB98DFA 1 0.0000 0.9138 1.000 0.000
#> 09521B29-B002-4AAD-93F1-6E600DD31515 2 0.0000 0.9429 0.000 1.000
#> 45FD44A6-7976-4453-BD3F-99D21DA3ECC2 1 0.0000 0.9138 1.000 0.000
#> 9EE0976F-1422-4F65-8837-93A192984CDF 2 0.1843 0.9209 0.028 0.972
#> 2FBAA1AA-39F7-4C58-A7DA-76B1F4B26B2E 2 0.9170 0.4914 0.332 0.668
#> B7A695A4-0B74-41E9-8662-4010C8CA38F0 1 0.0000 0.9138 1.000 0.000
#> E9013476-D037-41EA-921E-E9E62E93B75C 1 0.6623 0.7650 0.828 0.172
#> 13FD88E9-3B06-4CB6-949F-395DDDE4B75B 2 0.0376 0.9401 0.004 0.996
#> 9103E60E-D1FC-4F0F-B2CD-751921E14EBA 1 0.0000 0.9138 1.000 0.000
#> 4AEFB9F1-A55D-472E-A963-5BB3364D9D8C 2 0.0000 0.9429 0.000 1.000
#> 05B80211-2230-436E-BA34-FD48337A5DE0 2 0.2236 0.9142 0.036 0.964
#> 6B206166-85BC-4A1A-BDD2-B249652FC09E 1 0.0000 0.9138 1.000 0.000
#> 3EA60F08-5232-4A97-A656-2A0A2F5CED07 2 0.0376 0.9401 0.004 0.996
#> 9C55C086-682B-4D21-9C77-085CFE45A07E 1 0.9963 0.2241 0.536 0.464
#> B0CE5521-96E9-4087-89EE-309D785C0F96 2 0.0000 0.9429 0.000 1.000
#> 6BF76FE6-F1DA-48F2-B55D-CB106905EA8F 2 0.0000 0.9429 0.000 1.000
#> D2ECDADA-9D0D-4044-8C61-353CCE45C0E6 1 0.0938 0.9056 0.988 0.012
#> 9565D04D-EC61-4EF8-8519-0D84CFB0C794 2 0.0376 0.9401 0.004 0.996
#> EBAFE057-B387-4D2B-8D91-25C83221816D 2 0.9933 0.1852 0.452 0.548
#> 2CDB897D-ABAF-4EBB-837C-05CC7691D20E 1 0.0000 0.9138 1.000 0.000
#> FD2F4E8A-F89C-4016-B275-13FC6B4121E9 2 0.0000 0.9429 0.000 1.000
#> 1E27DDFF-D487-4CBF-80BC-506CC7C7C74D 2 0.0000 0.9429 0.000 1.000
#> 1DD990EF-74A8-4503-B801-C01D6C171E2E 2 0.7950 0.6604 0.240 0.760
#> 4D2DF3FF-343A-4D29-9230-015131B45BD2 2 0.0000 0.9429 0.000 1.000
#> B9949248-D762-4591-B8D6-C296C2B28D8C 2 0.0000 0.9429 0.000 1.000
#> 2D839843-4C8D-400D-8EFF-2BF9B94A27AA 1 1.0000 0.1162 0.504 0.496
#> 78C429CC-D631-43EA-9049-DAC326C98BDD 2 0.0000 0.9429 0.000 1.000
#> 71241674-DF93-4CA0-A81D-AF85B6479F62 1 0.9661 0.4192 0.608 0.392
#> 76277FC9-E447-49A4-9407-81917C90ECBD 1 0.0000 0.9138 1.000 0.000
#> 79DE0216-2CBB-4057-AC90-0366A494F106 1 0.0000 0.9138 1.000 0.000
#> 3B842084-AE30-4666-B80A-8FA36EF628F3 2 0.0000 0.9429 0.000 1.000
#> 57200367-96F1-48B9-AB7F-DC11EFE866C4 2 0.6712 0.7460 0.176 0.824
#> 219B7654-6065-41D3-964B-C829364CD87B 2 0.0000 0.9429 0.000 1.000
#> 26923D9B-CE8E-400E-93CD-E0EE1401CB9D 2 0.0000 0.9429 0.000 1.000
#> 21B783EB-B0D0-4B28-9468-D0B130D13E26 2 0.0000 0.9429 0.000 1.000
#> 67D465A4-8068-4325-ABC5-5917B7D726BB 2 0.0000 0.9429 0.000 1.000
#> 30A8ABA0-ECB4-4B44-9630-5FFF862A157F 2 0.0000 0.9429 0.000 1.000
#> 71040F61-834D-4A75-960D-5DABBCADD3A0 1 0.0000 0.9138 1.000 0.000
#> A4EC5E62-AF75-435A-903F-D35B171CEA2C 2 0.0000 0.9429 0.000 1.000
#> 2F6A0808-8F01-4721-938D-F1FC7C5D8357 2 0.9993 -0.0496 0.484 0.516
#> F1A142BF-9737-442D-B9A1-AA03958916D8 2 0.0000 0.9429 0.000 1.000
#> 2DC1CF96-6822-412A-B002-3DC1239D17A7 2 0.0000 0.9429 0.000 1.000
#> 9C57AC2A-83C8-41EB-8DC3-9A897D8F8110 2 0.7528 0.6976 0.216 0.784
#> D22198BE-2B03-4A06-9EB6-696B67E8CEFB 2 0.0000 0.9429 0.000 1.000
#> 68BACBAD-DC56-4ADF-BB44-86750A866657 1 0.0000 0.9138 1.000 0.000
#> 7DFBA494-6746-4FF7-9948-FC9BA297F499 2 0.0000 0.9429 0.000 1.000
#> 00B39945-A227-46EB-B737-27D12370FE6A 2 0.0000 0.9429 0.000 1.000
#> 6FA15950-94D4-4D46-A0E5-45D899089443 2 0.0000 0.9429 0.000 1.000
#> DE451B99-D33B-4A35-BB0E-AAED631B56C3 2 0.0000 0.9429 0.000 1.000
#> 1DE68F26-5F22-4B90-A0F4-4775865D5E35 1 0.0000 0.9138 1.000 0.000
#> 7E84698B-0394-4498-A8D4-F3F96F49E669 2 0.9754 0.3140 0.408 0.592
#> D29F2335-9151-406E-8C3A-58AA99B7EB69 1 0.0000 0.9138 1.000 0.000
#> 92CEB4B5-0400-45DD-9DEE-E988CB4BB76D 2 0.0000 0.9429 0.000 1.000
#> 1848D6A6-9725-46BA-A953-CE76F6CC7684 2 0.1633 0.9245 0.024 0.976
#> F0B60FEF-0246-412D-8E1D-50E4A5F7790A 1 0.9522 0.4625 0.628 0.372
#> 763F284D-B99A-4646-A84C-5EFB15C07376 1 0.0000 0.9138 1.000 0.000
#> 994BE7F6-D486-4E45-9C4F-7AA200B04AED 1 0.0000 0.9138 1.000 0.000
#> 54C0AB23-0161-4346-AF6D-466B68B5AB79 1 0.0000 0.9138 1.000 0.000
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#> 1F179559-D93E-491C-B499-64F86C31DAE0 1 0.7950 0.6814 0.760 0.240
#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 1 0.0000 0.9138 1.000 0.000
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 1 0.0000 0.9138 1.000 0.000
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 1 0.0000 0.9138 1.000 0.000
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 2 0.9522 0.4038 0.372 0.628
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 1 0.0000 0.9138 1.000 0.000
#> ED9794C0-AC60-4B54-8214-D26714871BBF 1 0.0000 0.9138 1.000 0.000
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 2 0.0000 0.9429 0.000 1.000
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 2 0.0000 0.9429 0.000 1.000
#> 18D816AF-394A-482F-B22E-896A43B1E481 2 0.9129 0.4990 0.328 0.672
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 1 0.0938 0.9071 0.988 0.012
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 2 0.0000 0.9429 0.000 1.000
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 2 0.0000 0.9429 0.000 1.000
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 1 0.9710 0.4007 0.600 0.400
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 1 0.9686 0.4100 0.604 0.396
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 2 0.0000 0.9429 0.000 1.000
#> 7E809698-2473-4EFE-B896-1637983EC596 2 0.0000 0.9429 0.000 1.000
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 2 0.1184 0.9310 0.016 0.984
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 1 0.9710 0.4007 0.600 0.400
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 2 0.0000 0.9429 0.000 1.000
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.0000 0.9138 1.000 0.000
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.0000 0.9138 1.000 0.000
#> 73F28A79-7D35-4FE9-849D-FFE681483928 1 0.9710 0.4007 0.600 0.400
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 1 0.0000 0.9138 1.000 0.000
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 2 0.0000 0.9429 0.000 1.000
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 1 0.0000 0.9138 1.000 0.000
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.0000 0.9429 0.000 1.000
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.0000 0.9138 1.000 0.000
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 1 0.0000 0.9138 1.000 0.000
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 1 0.0000 0.9138 1.000 0.000
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 1 0.0000 0.9138 1.000 0.000
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 2 0.0000 0.9429 0.000 1.000
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.0000 0.9138 1.000 0.000
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.0000 0.9429 0.000 1.000
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 2 0.6801 0.7424 0.180 0.820
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.9522 0.4038 0.372 0.628
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 2 0.0000 0.9429 0.000 1.000
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 2 0.0000 0.9429 0.000 1.000
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 1 0.0000 0.9138 1.000 0.000
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 2 0.0000 0.9429 0.000 1.000
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.0000 0.9138 1.000 0.000
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 1 0.8909 0.5805 0.692 0.308
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.0000 0.9138 1.000 0.000
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.0000 0.9138 1.000 0.000
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.0000 0.9138 1.000 0.000
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.0000 0.9429 0.000 1.000
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 1 0.0000 0.9138 1.000 0.000
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.0000 0.9138 1.000 0.000
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 1 0.0000 0.9138 1.000 0.000
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.0000 0.9138 1.000 0.000
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 1 0.9286 0.5243 0.656 0.344
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 2 0.0000 0.9429 0.000 1.000
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 1 0.0000 0.9138 1.000 0.000
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 2 0.0000 0.9429 0.000 1.000
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 2 0.0000 0.9429 0.000 1.000
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 2 0.0000 0.9429 0.000 1.000
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.0000 0.9138 1.000 0.000
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.0000 0.9138 1.000 0.000
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 1 0.0000 0.9138 1.000 0.000
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.0000 0.9429 0.000 1.000
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.0000 0.9429 0.000 1.000
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 2 0.0000 0.9429 0.000 1.000
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 2 0.0000 0.9429 0.000 1.000
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.9866 0.2468 0.432 0.568
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 2 0.0000 0.9429 0.000 1.000
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 2 0.0000 0.9429 0.000 1.000
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 2 0.0000 0.9429 0.000 1.000
#> CA356591-D24F-41A8-8C9A-1178C7781510 2 0.0000 0.9429 0.000 1.000
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 1 0.0000 0.9138 1.000 0.000
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.0000 0.9138 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 3 0.0892 0.932 0.000 0.020 0.980
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 2 0.0000 0.928 0.000 1.000 0.000
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 3 0.0000 0.931 0.000 0.000 1.000
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.0000 0.928 0.000 1.000 0.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 3 0.0000 0.931 0.000 0.000 1.000
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 1 0.6008 0.407 0.628 0.372 0.000
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 3 0.0237 0.931 0.000 0.004 0.996
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 3 0.0424 0.930 0.000 0.008 0.992
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.0000 0.928 0.000 1.000 0.000
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.0000 0.928 0.000 1.000 0.000
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.0000 0.928 0.000 1.000 0.000
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.0592 0.935 0.000 0.012 0.988
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.0000 0.946 1.000 0.000 0.000
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.0000 0.928 0.000 1.000 0.000
#> ECB2DF14-CF68-44D4-8719-973AE448B992 1 0.0592 0.943 0.988 0.000 0.012
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 3 0.4702 0.734 0.000 0.212 0.788
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 1 0.0892 0.940 0.980 0.000 0.020
#> 3282F146-2782-4877-9EFE-6020AC277A8C 3 0.0747 0.934 0.000 0.016 0.984
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 1 0.3482 0.842 0.872 0.000 0.128
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 2 0.5621 0.535 0.308 0.692 0.000
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.0000 0.928 0.000 1.000 0.000
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 3 0.1163 0.928 0.000 0.028 0.972
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.0000 0.928 0.000 1.000 0.000
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 1 0.0424 0.943 0.992 0.000 0.008
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 3 0.0000 0.931 0.000 0.000 1.000
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 3 0.0592 0.935 0.000 0.012 0.988
#> C945DDA9-0194-46F4-89E2-13883284D5A4 3 0.0592 0.935 0.000 0.012 0.988
#> 79B11925-9772-474F-A729-D00315959710 1 0.0000 0.946 1.000 0.000 0.000
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 2 0.0237 0.925 0.000 0.996 0.004
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 1 0.0747 0.938 0.984 0.000 0.016
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 1 0.1031 0.937 0.976 0.000 0.024
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.0592 0.943 0.988 0.000 0.012
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.4346 0.746 0.000 0.816 0.184
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 1 0.8286 0.534 0.624 0.140 0.236
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.0000 0.931 0.000 0.000 1.000
#> 26796E5F-C0C2-466C-9012-882F6D29C149 3 0.0592 0.935 0.000 0.012 0.988
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 0.0000 0.946 1.000 0.000 0.000
#> 1492D21A-6458-4B49-B530-7A327FCDD031 1 0.0237 0.945 0.996 0.000 0.004
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 1 0.0592 0.943 0.988 0.000 0.012
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 3 0.3038 0.865 0.000 0.104 0.896
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.0000 0.946 1.000 0.000 0.000
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 1 0.0592 0.943 0.988 0.000 0.012
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.0000 0.928 0.000 1.000 0.000
#> E846120D-D9E6-46F8-9647-2272AB064072 1 0.0000 0.946 1.000 0.000 0.000
#> 36880C8C-91A9-49A9-A2D5-957161737F31 2 0.2959 0.855 0.100 0.900 0.000
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.0592 0.921 0.012 0.988 0.000
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 2 0.0000 0.928 0.000 1.000 0.000
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 1 0.0000 0.946 1.000 0.000 0.000
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 1 0.4931 0.727 0.784 0.004 0.212
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 2 0.0237 0.926 0.004 0.996 0.000
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 3 0.0747 0.934 0.000 0.016 0.984
#> 116F3F29-AB89-4F00-9003-559041E285EB 3 0.0592 0.935 0.000 0.012 0.988
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.0424 0.923 0.008 0.992 0.000
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 1 0.0237 0.944 0.996 0.000 0.004
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 2 0.6295 0.105 0.000 0.528 0.472
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 1 0.0747 0.941 0.984 0.000 0.016
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 1 0.0000 0.946 1.000 0.000 0.000
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 2 0.3482 0.812 0.000 0.872 0.128
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 3 0.4555 0.759 0.000 0.200 0.800
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.0000 0.946 1.000 0.000 0.000
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 3 0.0592 0.935 0.000 0.012 0.988
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.0592 0.921 0.012 0.988 0.000
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 3 0.5859 0.432 0.344 0.000 0.656
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 1 0.0475 0.943 0.992 0.004 0.004
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 2 0.5147 0.757 0.180 0.800 0.020
#> CD576099-5450-4232-9B59-08341BED8FFA 3 0.0892 0.932 0.000 0.020 0.980
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 3 0.4555 0.734 0.000 0.200 0.800
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 1 0.0000 0.946 1.000 0.000 0.000
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 1 0.0000 0.946 1.000 0.000 0.000
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 2 0.0000 0.928 0.000 1.000 0.000
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 3 0.0237 0.931 0.000 0.004 0.996
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 3 0.0000 0.931 0.000 0.000 1.000
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 1 0.0000 0.946 1.000 0.000 0.000
#> 57E380FC-B6AB-466F-9936-D52192888008 1 0.0000 0.946 1.000 0.000 0.000
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 3 0.0592 0.935 0.000 0.012 0.988
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 1 0.0000 0.946 1.000 0.000 0.000
#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 2 0.9125 0.429 0.192 0.540 0.268
#> 1D4F0B66-720D-484D-B8D5-2B290ED208A8 3 0.0747 0.934 0.000 0.016 0.984
#> C886CA33-5080-4E3E-88A2-F9A3CF03A857 3 0.9787 0.148 0.252 0.320 0.428
#> 9AC963E4-F82D-460E-9CAD-C651B879780A 2 0.0000 0.928 0.000 1.000 0.000
#> 1B6CF403-D0AE-4FFE-A884-660A58F32660 3 0.0592 0.935 0.000 0.012 0.988
#> B33316E1-11FD-4C10-956A-C9C6F78508C5 1 0.0000 0.946 1.000 0.000 0.000
#> BB02EF6A-C57D-4A79-99C1-ED43A72FFAF7 2 0.0000 0.928 0.000 1.000 0.000
#> 4DBA59AD-9393-4BE6-88CB-852C62C4A334 3 0.0592 0.935 0.000 0.012 0.988
#> 7887EDC4-A0D7-4E57-B3A1-330A5683457D 1 0.0592 0.943 0.988 0.000 0.012
#> 2CD3AC14-46FB-4260-AE5C-4305C68D49BC 3 0.0424 0.930 0.000 0.008 0.992
#> BAB8FA79-208A-488D-B955-806263E5D6BB 3 0.0592 0.935 0.000 0.012 0.988
#> 98C990E7-7E3B-4200-A88D-E641931302EA 1 0.0000 0.946 1.000 0.000 0.000
#> 894EE382-5ACA-4DEB-9267-99ADBEF6DA19 3 0.0592 0.935 0.000 0.012 0.988
#> 98795F95-D26D-438A-AF46-B3BC3553F020 1 0.0592 0.941 0.988 0.000 0.012
#> 9AD4C328-1554-4C92-931C-30CE8F305FDE 1 0.0000 0.946 1.000 0.000 0.000
#> 4D1518D9-D968-4E7F-A702-5157A1A2E83E 1 0.0000 0.946 1.000 0.000 0.000
#> A6E8AF8C-5D7B-4197-990B-786A869ACB96 1 0.0000 0.946 1.000 0.000 0.000
#> DF8B4E19-8C78-4A68-8FAE-DFF01076BC97 2 0.0000 0.928 0.000 1.000 0.000
#> 8D2C608F-3280-4CA2-B996-9AE3DBDBBD28 3 0.1411 0.923 0.000 0.036 0.964
#> E7BCBD8D-1219-4A99-948A-47A258A5CD8B 3 0.0747 0.934 0.000 0.016 0.984
#> 2C9633A5-8ACB-4D16-8120-F098BA14BB04 2 0.0000 0.928 0.000 1.000 0.000
#> 985D9304-E4DA-4038-B235-067CBFEAC902 2 0.0237 0.926 0.004 0.996 0.000
#> D34CE243-6F4F-4158-9FC4-77E1640E8A91 2 0.0000 0.928 0.000 1.000 0.000
#> 65131575-48D3-42C2-B411-3DB871EF5EE1 3 0.0000 0.931 0.000 0.000 1.000
#> 1AE13DFA-670C-43EE-9898-8FA831AEDDB3 3 0.0592 0.935 0.000 0.012 0.988
#> 3ACDCD29-1B8D-455D-9EE9-D6C903B16D09 1 0.0592 0.943 0.988 0.000 0.012
#> C6FBC35B-0113-4F00-BE1A-831D2C551055 1 0.3412 0.842 0.876 0.000 0.124
#> A8F3285D-A85E-4E73-9D20-9D14AA51916B 3 0.0592 0.935 0.000 0.012 0.988
#> 51601A73-2D75-4056-AEBB-8FF8DB813450 3 0.0892 0.925 0.020 0.000 0.980
#> 75021778-A96B-4F57-8C26-68E8F33D7EB7 3 0.0000 0.931 0.000 0.000 1.000
#> 71FFB439-22A1-4EBB-AEA6-A6BCA8CA6648 3 0.0000 0.931 0.000 0.000 1.000
#> BEDB0135-0A26-44EF-9028-C4907403B110 3 0.0592 0.935 0.000 0.012 0.988
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#> 30312D82-4966-4EAA-A067-F91852FA8663 2 0.0592 0.921 0.012 0.988 0.000
#> ECC62CBA-16AB-45F0-9C5A-72F302B4A188 2 0.6081 0.496 0.004 0.652 0.344
#> 5AF4899F-D8E1-4CB6-B3DC-F0C60C808838 2 0.0000 0.928 0.000 1.000 0.000
#> BBCEA0D1-DE66-4C0C-8D3C-D1398D04B472 2 0.0000 0.928 0.000 1.000 0.000
#> 154764CD-AC69-4F48-A212-8B27C076C91A 3 0.4346 0.762 0.184 0.000 0.816
#> 33266777-E07B-49D0-9E24-2EDE2577CF16 1 0.0000 0.946 1.000 0.000 0.000
#> 7DAE9720-3922-4680-9F95-75C029B7FDA9 2 0.0000 0.928 0.000 1.000 0.000
#> 1BC2ECED-0425-4382-BB94-F57ED2687F18 1 0.0000 0.946 1.000 0.000 0.000
#> 0901D931-77BE-47B0-AE5F-C26C6A144CA0 1 0.0000 0.946 1.000 0.000 0.000
#> 77AFFD5F-F715-4242-95C9-5F36E061B3E2 1 0.0592 0.943 0.988 0.000 0.012
#> FAB4A6D6-E978-4172-9FE1-79FC50C0F849 3 0.0892 0.932 0.000 0.020 0.980
#> 32C4DF54-39DD-4F62-B938-82ED2A0E0FFD 1 0.4452 0.759 0.808 0.000 0.192
#> 9911D83E-6DDF-4048-9A34-22BFA1D68BBD 3 0.0000 0.931 0.000 0.000 1.000
#> 4BAC0A03-BB88-4D19-86F9-FF093330C9B3 1 0.4654 0.750 0.792 0.000 0.208
#> 18F63ADA-1828-43DD-AE1F-F36706C204CD 3 0.1529 0.920 0.000 0.040 0.960
#> 66729295-C0AA-42C7-92C9-05194EF02276 3 0.0424 0.934 0.000 0.008 0.992
#> 4CCA3104-B557-403D-AC06-A6D4936DDC04 3 0.0592 0.935 0.000 0.012 0.988
#> 77D4165E-7CB1-4D69-AFE5-C8D914531651 2 0.0000 0.928 0.000 1.000 0.000
#> BA12A05A-622A-424D-8108-3F5916405EB0 3 0.3752 0.825 0.000 0.144 0.856
#> DED4EA4D-9DC2-4419-83EC-2BFE75DC1830 2 0.0000 0.928 0.000 1.000 0.000
#> 13A35364-57C5-4F5A-B077-3BA2689BFDD3 1 0.7945 0.588 0.652 0.124 0.224
#> 2641B816-1D21-496E-85AD-1C690C9146A6 3 0.0592 0.935 0.000 0.012 0.988
#> 96E2AD09-7287-4B91-840E-81444A61D56F 2 0.0747 0.917 0.000 0.984 0.016
#> 62F3327F-FB16-4AD0-BCF5-B180F28281A9 2 0.0000 0.928 0.000 1.000 0.000
#> 112F7032-0212-4939-9449-D67E3600CCD5 2 0.0000 0.928 0.000 1.000 0.000
#> A3B4DE21-DDF0-4468-A300-7BECBAFD0BCD 1 0.0592 0.943 0.988 0.000 0.012
#> 0A03E593-6931-419C-AE47-51D75185C2C0 3 0.6498 0.360 0.008 0.396 0.596
#> 2416A3DC-A563-4FD1-A139-0E6EF7185211 2 0.0000 0.928 0.000 1.000 0.000
#> 18B29573-822C-405F-B793-DBC8924866CE 2 0.0000 0.928 0.000 1.000 0.000
#> 994EC227-B239-4CEE-AC96-EB5CC0AF583E 1 0.0000 0.946 1.000 0.000 0.000
#> 950933A3-5757-4914-9DC5-C220C2A455FD 3 0.0592 0.935 0.000 0.012 0.988
#> DBDFE95C-F941-407A-BE7D-D43D50143C4D 2 0.4555 0.741 0.200 0.800 0.000
#> D024393C-29D0-41C4-AB86-7E94581FDD26 3 0.0892 0.932 0.000 0.020 0.980
#> 4975AB35-93E5-400D-A429-CEA81BA89FFE 1 0.0424 0.944 0.992 0.000 0.008
#> 666ADCA2-1AE4-4843-B1C8-8EE29C44AE74 1 0.0000 0.946 1.000 0.000 0.000
#> A8F79C08-3943-4707-ADCB-890A955B5394 2 0.0000 0.928 0.000 1.000 0.000
#> A81614ED-14CB-4EBC-988E-F67FBCBF62D8 2 0.6154 0.343 0.408 0.592 0.000
#> E27E65C8-5B57-4C91-9D20-C075AEA2F2C5 1 0.0000 0.946 1.000 0.000 0.000
#> 745F18CA-080D-42FE-BAA6-89AD7E3D3408 2 0.6079 0.370 0.000 0.612 0.388
#> E755A625-799D-4A39-9D56-080228E0B669 2 0.4121 0.781 0.168 0.832 0.000
#> 3D94EFB8-94D4-4FDE-97D8-18A159279996 2 0.3752 0.789 0.000 0.856 0.144
#> 3D305C2E-6C86-4684-AA2A-155291AB4CC3 1 0.0000 0.946 1.000 0.000 0.000
#> E140052A-5434-4C44-9873-0318D1D272CA 2 0.0000 0.928 0.000 1.000 0.000
#> 68E56692-D46D-4A27-86CD-717E10AADDDA 3 0.0592 0.935 0.000 0.012 0.988
#> 00A0586E-5F05-47B3-925C-87E811B0893B 3 0.0000 0.931 0.000 0.000 1.000
#> E2B019A7-7C95-40FE-800C-D30E9730825C 1 0.0592 0.943 0.988 0.000 0.012
#> 1B9ABB69-5CC6-4B6B-ABBC-71CC3274C7F0 1 0.3816 0.814 0.852 0.000 0.148
#> FAE396AA-3C3C-4AF9-953D-385C41B2DB5B 1 0.0592 0.943 0.988 0.000 0.012
#> 6BE4397D-1E5B-4486-83B4-EE0EC146C805 2 0.0000 0.928 0.000 1.000 0.000
#> EE38BD4E-5A08-4639-912F-04203F53762F 1 0.0000 0.946 1.000 0.000 0.000
#> 4050E7F8-80B6-46F2-8FF0-D4EC313E975B 3 0.0592 0.935 0.000 0.012 0.988
#> F3565161-FFBE-4138-9773-558DB386710C 1 0.0000 0.946 1.000 0.000 0.000
#> BA9ABEB1-D3F0-4F09-A647-25211C47C3D0 2 0.0000 0.928 0.000 1.000 0.000
#> 9E41E79A-4028-4F60-8250-411F191B665C 1 0.0000 0.946 1.000 0.000 0.000
#> 5F1D3EFD-ECDA-4C92-8D81-491484F09C95 3 0.0000 0.931 0.000 0.000 1.000
#> 0DBA04CB-417D-4E2B-BE83-3563F45291C4 1 0.0000 0.946 1.000 0.000 0.000
#> B9B882A5-194B-4F5C-B702-0CF71CA6D9D2 2 0.0000 0.928 0.000 1.000 0.000
#> 67FE7638-B8F5-4631-B178-AC23B0382983 1 0.0237 0.945 0.996 0.000 0.004
#> FE03FC2C-9A4E-4F89-8681-E33DFECCC692 2 0.0592 0.921 0.012 0.988 0.000
#> 2B22B4B7-8A39-435C-BE3B-86FA84C8F941 3 0.0892 0.933 0.000 0.020 0.980
#> 00844B35-C108-4AEC-A687-4A91A2F33E6D 1 0.0000 0.946 1.000 0.000 0.000
#> C221EE7A-6343-4B6D-B322-0A2C0F0B29AF 1 0.0000 0.946 1.000 0.000 0.000
#> B28A6D56-7654-4829-BF1F-657C3C2C10D8 1 0.0000 0.946 1.000 0.000 0.000
#> F4C7BCEC-3CD4-4D9A-89EA-0ED58EA0DCFE 1 0.0592 0.943 0.988 0.000 0.012
#> F06FBFAB-D143-47AE-BEE7-51B48164764F 2 0.5443 0.625 0.260 0.736 0.004
#> 525F522B-E865-4479-AE65-510903ABF46F 3 0.1031 0.930 0.000 0.024 0.976
#> F0CB60E3-C412-46A2-918F-8C5C099AB224 1 0.6180 0.308 0.584 0.000 0.416
#> 587F307F-6E1B-487E-8E47-A99AB43DC5B4 3 0.5344 0.805 0.092 0.084 0.824
#> 883D9145-8414-4571-A3E1-516F03452C46 3 0.4178 0.793 0.000 0.172 0.828
#> 4A917271-7EA0-4F43-B474-7F5EA756EB05 1 0.0000 0.946 1.000 0.000 0.000
#> BB33015D-218C-4A1E-8839-95837D6E9B88 1 0.0424 0.943 0.992 0.000 0.008
#> 021CC81F-710D-4EEA-B1D8-012A81715ACC 1 0.0000 0.946 1.000 0.000 0.000
#> B00C4925-47E3-4442-ABEB-82D714A26587 1 0.0592 0.943 0.988 0.000 0.012
#> F79B27D3-0426-47BB-9756-7E0759246E5E 2 0.0000 0.928 0.000 1.000 0.000
#> 1F179559-D93E-491C-B499-64F86C31DAE0 3 0.0000 0.931 0.000 0.000 1.000
#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 1 0.6225 0.260 0.568 0.000 0.432
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 1 0.0892 0.936 0.980 0.000 0.020
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 1 0.0592 0.943 0.988 0.000 0.012
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 2 0.0829 0.919 0.004 0.984 0.012
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 1 0.0000 0.946 1.000 0.000 0.000
#> ED9794C0-AC60-4B54-8214-D26714871BBF 1 0.0000 0.946 1.000 0.000 0.000
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 2 0.6126 0.367 0.000 0.600 0.400
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 2 0.0000 0.928 0.000 1.000 0.000
#> 18D816AF-394A-482F-B22E-896A43B1E481 2 0.2116 0.896 0.040 0.948 0.012
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 1 0.4235 0.780 0.824 0.000 0.176
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 3 0.0592 0.935 0.000 0.012 0.988
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 2 0.0424 0.923 0.000 0.992 0.008
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 3 0.0424 0.934 0.000 0.008 0.992
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 3 0.0592 0.935 0.000 0.012 0.988
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 3 0.1753 0.915 0.000 0.048 0.952
#> 7E809698-2473-4EFE-B896-1637983EC596 3 0.4931 0.703 0.000 0.232 0.768
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 3 0.0592 0.935 0.000 0.012 0.988
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 3 0.0000 0.931 0.000 0.000 1.000
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 2 0.0000 0.928 0.000 1.000 0.000
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.0000 0.946 1.000 0.000 0.000
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.0000 0.946 1.000 0.000 0.000
#> 73F28A79-7D35-4FE9-849D-FFE681483928 3 0.0000 0.931 0.000 0.000 1.000
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 1 0.0000 0.946 1.000 0.000 0.000
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 3 0.0592 0.935 0.000 0.012 0.988
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 1 0.0000 0.946 1.000 0.000 0.000
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.0000 0.928 0.000 1.000 0.000
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.0000 0.946 1.000 0.000 0.000
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 1 0.0000 0.946 1.000 0.000 0.000
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 1 0.0000 0.946 1.000 0.000 0.000
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 1 0.0000 0.946 1.000 0.000 0.000
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.0592 0.935 0.000 0.012 0.988
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.0000 0.946 1.000 0.000 0.000
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.0000 0.928 0.000 1.000 0.000
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 3 0.0000 0.931 0.000 0.000 1.000
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.0592 0.921 0.012 0.988 0.000
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 3 0.2959 0.878 0.000 0.100 0.900
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 3 0.4796 0.725 0.000 0.220 0.780
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 1 0.0000 0.946 1.000 0.000 0.000
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 3 0.3879 0.813 0.000 0.152 0.848
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.0000 0.946 1.000 0.000 0.000
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.0000 0.931 0.000 0.000 1.000
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.0000 0.946 1.000 0.000 0.000
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.1411 0.920 0.964 0.036 0.000
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.0000 0.946 1.000 0.000 0.000
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.0000 0.928 0.000 1.000 0.000
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 1 0.3551 0.846 0.868 0.000 0.132
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.0424 0.944 0.992 0.000 0.008
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 1 0.0747 0.942 0.984 0.000 0.016
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.0000 0.946 1.000 0.000 0.000
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 3 0.0000 0.931 0.000 0.000 1.000
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 3 0.0892 0.932 0.000 0.020 0.980
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 1 0.0592 0.943 0.988 0.000 0.012
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 3 0.0592 0.935 0.000 0.012 0.988
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 3 0.0747 0.934 0.000 0.016 0.984
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 3 0.0592 0.935 0.000 0.012 0.988
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.0000 0.946 1.000 0.000 0.000
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.0237 0.944 0.996 0.000 0.004
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 1 0.0592 0.943 0.988 0.000 0.012
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.0000 0.928 0.000 1.000 0.000
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.0000 0.928 0.000 1.000 0.000
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 3 0.0592 0.935 0.000 0.012 0.988
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.2959 0.875 0.000 0.100 0.900
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.0592 0.921 0.012 0.988 0.000
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 3 0.1031 0.930 0.000 0.024 0.976
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 3 0.0747 0.934 0.000 0.016 0.984
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 2 0.0000 0.928 0.000 1.000 0.000
#> CA356591-D24F-41A8-8C9A-1178C7781510 3 0.0892 0.932 0.000 0.020 0.980
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 1 0.5859 0.494 0.656 0.000 0.344
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.0000 0.946 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 3 0.4855 0.66437 0.000 0.000 0.600 0.400
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 2 0.0000 0.88071 0.000 1.000 0.000 0.000
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 3 0.4855 0.66437 0.000 0.000 0.600 0.400
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.0000 0.88071 0.000 1.000 0.000 0.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 3 0.4925 0.64443 0.000 0.000 0.572 0.428
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 1 0.2704 0.73033 0.876 0.124 0.000 0.000
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 3 0.4933 0.64104 0.000 0.000 0.568 0.432
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 3 0.4866 0.66195 0.000 0.000 0.596 0.404
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.0000 0.88071 0.000 1.000 0.000 0.000
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.0000 0.88071 0.000 1.000 0.000 0.000
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.0000 0.88071 0.000 1.000 0.000 0.000
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.0188 0.63746 0.000 0.000 0.996 0.004
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.0000 0.86699 1.000 0.000 0.000 0.000
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.0000 0.88071 0.000 1.000 0.000 0.000
#> ECB2DF14-CF68-44D4-8719-973AE448B992 4 0.5016 0.43886 0.396 0.000 0.004 0.600
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 3 0.4855 0.66437 0.000 0.000 0.600 0.400
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 4 0.4855 0.43159 0.000 0.000 0.400 0.600
#> 3282F146-2782-4877-9EFE-6020AC277A8C 3 0.4855 0.66437 0.000 0.000 0.600 0.400
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 4 0.0707 0.40260 0.000 0.000 0.020 0.980
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 2 0.5186 0.62779 0.164 0.752 0.000 0.084
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.0000 0.88071 0.000 1.000 0.000 0.000
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 3 0.0657 0.63370 0.000 0.012 0.984 0.004
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.0000 0.88071 0.000 1.000 0.000 0.000
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 1 0.5028 0.29867 0.596 0.000 0.400 0.004
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 4 0.4855 0.43159 0.000 0.000 0.400 0.600
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 3 0.0188 0.63746 0.000 0.000 0.996 0.004
#> C945DDA9-0194-46F4-89E2-13883284D5A4 3 0.0000 0.63939 0.000 0.000 1.000 0.000
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#> BB33015D-218C-4A1E-8839-95837D6E9B88 1 0.4677 0.43244 0.680 0.000 0.316 0.004
#> 021CC81F-710D-4EEA-B1D8-012A81715ACC 1 0.2589 0.75737 0.884 0.000 0.000 0.116
#> B00C4925-47E3-4442-ABEB-82D714A26587 4 0.4855 0.43454 0.400 0.000 0.000 0.600
#> F79B27D3-0426-47BB-9756-7E0759246E5E 2 0.0000 0.88071 0.000 1.000 0.000 0.000
#> 1F179559-D93E-491C-B499-64F86C31DAE0 4 0.4855 0.43159 0.000 0.000 0.400 0.600
#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 4 0.1022 0.40730 0.000 0.000 0.032 0.968
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 1 0.5028 0.29867 0.596 0.000 0.400 0.004
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 4 0.5250 0.35629 0.440 0.000 0.008 0.552
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 2 0.3649 0.69329 0.000 0.796 0.000 0.204
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 1 0.0000 0.86699 1.000 0.000 0.000 0.000
#> ED9794C0-AC60-4B54-8214-D26714871BBF 1 0.0000 0.86699 1.000 0.000 0.000 0.000
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 3 0.7500 0.47519 0.000 0.180 0.412 0.408
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 2 0.0000 0.88071 0.000 1.000 0.000 0.000
#> 18D816AF-394A-482F-B22E-896A43B1E481 2 0.4830 0.40069 0.000 0.608 0.000 0.392
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 1 0.2840 0.77130 0.900 0.000 0.044 0.056
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 3 0.0707 0.64476 0.000 0.000 0.980 0.020
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 2 0.0469 0.87312 0.000 0.988 0.012 0.000
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 3 0.2011 0.58147 0.000 0.000 0.920 0.080
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 3 0.4500 0.64027 0.000 0.000 0.684 0.316
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 3 0.4855 0.66437 0.000 0.000 0.600 0.400
#> 7E809698-2473-4EFE-B896-1637983EC596 3 0.5028 0.66206 0.000 0.004 0.596 0.400
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 3 0.0188 0.64077 0.000 0.000 0.996 0.004
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 3 0.1118 0.61932 0.000 0.000 0.964 0.036
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 2 0.4830 0.43960 0.000 0.608 0.000 0.392
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.0000 0.86699 1.000 0.000 0.000 0.000
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.0000 0.86699 1.000 0.000 0.000 0.000
#> 73F28A79-7D35-4FE9-849D-FFE681483928 3 0.3219 0.48023 0.000 0.000 0.836 0.164
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 1 0.0000 0.86699 1.000 0.000 0.000 0.000
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 3 0.4855 0.66437 0.000 0.000 0.600 0.400
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 1 0.0000 0.86699 1.000 0.000 0.000 0.000
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.0000 0.88071 0.000 1.000 0.000 0.000
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.0000 0.86699 1.000 0.000 0.000 0.000
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 1 0.0000 0.86699 1.000 0.000 0.000 0.000
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 1 0.0188 0.86475 0.996 0.000 0.000 0.004
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 1 0.0000 0.86699 1.000 0.000 0.000 0.000
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.0469 0.64290 0.000 0.000 0.988 0.012
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.0000 0.86699 1.000 0.000 0.000 0.000
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.0000 0.88071 0.000 1.000 0.000 0.000
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 3 0.4624 0.63968 0.000 0.000 0.660 0.340
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.0000 0.88071 0.000 1.000 0.000 0.000
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 3 0.6491 0.61142 0.000 0.076 0.528 0.396
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 3 0.5028 0.66219 0.000 0.004 0.596 0.400
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 1 0.0336 0.86132 0.992 0.000 0.000 0.008
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 3 0.4855 0.66437 0.000 0.000 0.600 0.400
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.0000 0.86699 1.000 0.000 0.000 0.000
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.1302 0.61401 0.000 0.000 0.956 0.044
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.0000 0.86699 1.000 0.000 0.000 0.000
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.0000 0.86699 1.000 0.000 0.000 0.000
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.0000 0.86699 1.000 0.000 0.000 0.000
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.0000 0.88071 0.000 1.000 0.000 0.000
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 4 0.4855 0.43159 0.000 0.000 0.400 0.600
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.2814 0.74360 0.868 0.000 0.000 0.132
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 4 0.4866 0.42959 0.404 0.000 0.000 0.596
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.0000 0.86699 1.000 0.000 0.000 0.000
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 3 0.4981 0.61609 0.000 0.000 0.536 0.464
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 3 0.4855 0.66437 0.000 0.000 0.600 0.400
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 1 0.3142 0.73981 0.860 0.000 0.008 0.132
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 3 0.4855 0.66437 0.000 0.000 0.600 0.400
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 3 0.4855 0.66437 0.000 0.000 0.600 0.400
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 3 0.4855 0.66437 0.000 0.000 0.600 0.400
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.0000 0.86699 1.000 0.000 0.000 0.000
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.5004 0.31050 0.604 0.000 0.392 0.004
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 4 0.5428 0.45399 0.380 0.000 0.020 0.600
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.0000 0.88071 0.000 1.000 0.000 0.000
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.0000 0.88071 0.000 1.000 0.000 0.000
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 3 0.4855 0.66437 0.000 0.000 0.600 0.400
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.7273 0.53614 0.000 0.148 0.452 0.400
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.3764 0.67466 0.216 0.784 0.000 0.000
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 3 0.4855 0.66437 0.000 0.000 0.600 0.400
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 3 0.4855 0.66437 0.000 0.000 0.600 0.400
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 2 0.0000 0.88071 0.000 1.000 0.000 0.000
#> CA356591-D24F-41A8-8C9A-1178C7781510 3 0.4855 0.66437 0.000 0.000 0.600 0.400
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 4 0.4855 0.43159 0.000 0.000 0.400 0.600
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.0000 0.86699 1.000 0.000 0.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 4 0.0162 0.73140 0.000 0.000 0.004 0.996 0.000
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 2 0.2516 0.78755 0.000 0.860 0.140 0.000 0.000
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 4 0.2852 0.65000 0.000 0.000 0.172 0.828 0.000
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.0000 0.87469 0.000 1.000 0.000 0.000 0.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 4 0.1626 0.73034 0.000 0.000 0.016 0.940 0.044
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 1 0.3741 0.78739 0.816 0.108 0.076 0.000 0.000
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 4 0.1197 0.72985 0.000 0.000 0.000 0.952 0.048
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 4 0.0290 0.73135 0.000 0.000 0.008 0.992 0.000
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.0000 0.87469 0.000 1.000 0.000 0.000 0.000
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.0000 0.87469 0.000 1.000 0.000 0.000 0.000
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.0000 0.87469 0.000 1.000 0.000 0.000 0.000
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.4249 0.64746 0.000 0.000 0.568 0.432 0.000
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.0000 0.88945 1.000 0.000 0.000 0.000 0.000
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.0000 0.87469 0.000 1.000 0.000 0.000 0.000
#> ECB2DF14-CF68-44D4-8719-973AE448B992 5 0.0000 0.86725 0.000 0.000 0.000 0.000 1.000
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 4 0.1608 0.72634 0.000 0.000 0.072 0.928 0.000
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 5 0.2230 0.78326 0.000 0.000 0.116 0.000 0.884
#> 3282F146-2782-4877-9EFE-6020AC277A8C 4 0.0290 0.73107 0.000 0.000 0.008 0.992 0.000
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 5 0.0000 0.86725 0.000 0.000 0.000 0.000 1.000
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 2 0.4781 0.22486 0.000 0.552 0.020 0.000 0.428
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.0000 0.87469 0.000 1.000 0.000 0.000 0.000
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 3 0.3612 0.66946 0.000 0.008 0.764 0.228 0.000
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.0000 0.87469 0.000 1.000 0.000 0.000 0.000
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 3 0.3816 0.45010 0.304 0.000 0.696 0.000 0.000
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 5 0.0000 0.86725 0.000 0.000 0.000 0.000 1.000
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 3 0.3837 0.68073 0.000 0.000 0.692 0.308 0.000
#> C945DDA9-0194-46F4-89E2-13883284D5A4 3 0.4227 0.64984 0.000 0.000 0.580 0.420 0.000
#> 79B11925-9772-474F-A729-D00315959710 1 0.0162 0.88912 0.996 0.000 0.004 0.000 0.000
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 4 0.4161 0.34750 0.000 0.392 0.000 0.608 0.000
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 3 0.3966 0.38833 0.336 0.000 0.664 0.000 0.000
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 5 0.0000 0.86725 0.000 0.000 0.000 0.000 1.000
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 5 0.0000 0.86725 0.000 0.000 0.000 0.000 1.000
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.5263 0.58800 0.000 0.680 0.176 0.144 0.000
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 3 0.4669 0.65493 0.048 0.032 0.764 0.156 0.000
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.3684 0.67872 0.000 0.000 0.720 0.280 0.000
#> 26796E5F-C0C2-466C-9012-882F6D29C149 4 0.3730 0.12121 0.000 0.000 0.288 0.712 0.000
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 0.0609 0.88613 0.980 0.000 0.020 0.000 0.000
#> 1492D21A-6458-4B49-B530-7A327FCDD031 5 0.4768 0.28625 0.384 0.000 0.024 0.000 0.592
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 5 0.0000 0.86725 0.000 0.000 0.000 0.000 1.000
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 4 0.3508 0.66476 0.000 0.000 0.252 0.748 0.000
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.0162 0.88912 0.996 0.000 0.004 0.000 0.000
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 5 0.0000 0.86725 0.000 0.000 0.000 0.000 1.000
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.0000 0.87469 0.000 1.000 0.000 0.000 0.000
#> E846120D-D9E6-46F8-9647-2272AB064072 1 0.2329 0.81478 0.876 0.000 0.000 0.000 0.124
#> 36880C8C-91A9-49A9-A2D5-957161737F31 2 0.4256 0.27875 0.436 0.564 0.000 0.000 0.000
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.0000 0.87469 0.000 1.000 0.000 0.000 0.000
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 2 0.0000 0.87469 0.000 1.000 0.000 0.000 0.000
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 1 0.2179 0.84083 0.888 0.000 0.112 0.000 0.000
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 3 0.8080 0.02014 0.316 0.000 0.384 0.144 0.156
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 2 0.0000 0.87469 0.000 1.000 0.000 0.000 0.000
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 4 0.2605 0.69926 0.000 0.000 0.148 0.852 0.000
#> 116F3F29-AB89-4F00-9003-559041E285EB 4 0.2377 0.70946 0.000 0.000 0.128 0.872 0.000
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.3916 0.74937 0.104 0.804 0.092 0.000 0.000
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 1 0.6114 0.42905 0.564 0.000 0.192 0.000 0.244
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 4 0.1410 0.71046 0.000 0.060 0.000 0.940 0.000
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 5 0.2068 0.81502 0.000 0.000 0.092 0.004 0.904
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 1 0.0000 0.88945 1.000 0.000 0.000 0.000 0.000
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 2 0.5305 0.58434 0.000 0.676 0.172 0.152 0.000
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 3 0.6222 0.56058 0.000 0.216 0.548 0.236 0.000
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.0000 0.88945 1.000 0.000 0.000 0.000 0.000
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 3 0.4074 0.66782 0.000 0.000 0.636 0.364 0.000
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.0162 0.87286 0.004 0.996 0.000 0.000 0.000
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 3 0.4734 0.55217 0.000 0.000 0.732 0.160 0.108
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 1 0.3109 0.79107 0.800 0.000 0.200 0.000 0.000
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 4 0.6207 0.58074 0.092 0.068 0.172 0.664 0.004
#> CD576099-5450-4232-9B59-08341BED8FFA 4 0.4489 -0.27045 0.000 0.008 0.420 0.572 0.000
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 4 0.2970 0.65148 0.000 0.004 0.168 0.828 0.000
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 1 0.0609 0.88337 0.980 0.000 0.000 0.000 0.020
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 1 0.0000 0.88945 1.000 0.000 0.000 0.000 0.000
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 2 0.2300 0.82501 0.000 0.908 0.052 0.040 0.000
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 4 0.5229 0.21909 0.000 0.000 0.048 0.548 0.404
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 4 0.3639 0.63665 0.000 0.000 0.024 0.792 0.184
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 1 0.0404 0.88804 0.988 0.000 0.012 0.000 0.000
#> 57E380FC-B6AB-466F-9936-D52192888008 1 0.2179 0.82342 0.888 0.000 0.000 0.000 0.112
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 4 0.2605 0.69926 0.000 0.000 0.148 0.852 0.000
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 1 0.0290 0.88858 0.992 0.000 0.008 0.000 0.000
#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 5 0.5094 0.14188 0.000 0.004 0.028 0.436 0.532
#> 1D4F0B66-720D-484D-B8D5-2B290ED208A8 4 0.0290 0.73311 0.000 0.000 0.008 0.992 0.000
#> C886CA33-5080-4E3E-88A2-F9A3CF03A857 3 0.5540 0.56290 0.128 0.136 0.704 0.032 0.000
#> 9AC963E4-F82D-460E-9CAD-C651B879780A 2 0.4249 0.17666 0.000 0.568 0.000 0.432 0.000
#> 1B6CF403-D0AE-4FFE-A884-660A58F32660 4 0.4192 -0.35780 0.000 0.000 0.404 0.596 0.000
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#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.4283 0.59363 0.000 0.000 0.544 0.456 0.000
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.0000 0.88945 1.000 0.000 0.000 0.000 0.000
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.0000 0.87469 0.000 1.000 0.000 0.000 0.000
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 4 0.6667 -0.00556 0.000 0.000 0.348 0.416 0.236
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.0404 0.86969 0.012 0.988 0.000 0.000 0.000
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 4 0.1270 0.72178 0.000 0.052 0.000 0.948 0.000
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 4 0.2707 0.71484 0.000 0.024 0.100 0.876 0.000
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 1 0.3086 0.79519 0.816 0.000 0.180 0.000 0.004
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 4 0.0703 0.73297 0.000 0.000 0.024 0.976 0.000
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.0000 0.88945 1.000 0.000 0.000 0.000 0.000
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.3689 0.62809 0.000 0.000 0.740 0.256 0.004
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.2424 0.81948 0.868 0.000 0.132 0.000 0.000
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.0290 0.88858 0.992 0.000 0.008 0.000 0.000
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.0703 0.88544 0.976 0.000 0.024 0.000 0.000
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.0000 0.87469 0.000 1.000 0.000 0.000 0.000
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 5 0.0000 0.86725 0.000 0.000 0.000 0.000 1.000
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.3074 0.74230 0.804 0.000 0.000 0.000 0.196
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 5 0.0000 0.86725 0.000 0.000 0.000 0.000 1.000
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.0000 0.88945 1.000 0.000 0.000 0.000 0.000
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 4 0.6102 0.33674 0.000 0.000 0.264 0.560 0.176
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 4 0.0162 0.73101 0.000 0.000 0.004 0.996 0.000
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 5 0.6568 0.34986 0.252 0.000 0.276 0.000 0.472
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 4 0.0404 0.73068 0.000 0.000 0.012 0.988 0.000
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 4 0.0290 0.73107 0.000 0.000 0.008 0.992 0.000
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 4 0.2561 0.70057 0.000 0.000 0.144 0.856 0.000
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.0404 0.88790 0.988 0.000 0.012 0.000 0.000
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.4114 0.34257 0.624 0.000 0.376 0.000 0.000
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 5 0.0000 0.86725 0.000 0.000 0.000 0.000 1.000
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.0000 0.87469 0.000 1.000 0.000 0.000 0.000
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.0000 0.87469 0.000 1.000 0.000 0.000 0.000
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 4 0.1851 0.68154 0.000 0.000 0.088 0.912 0.000
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 4 0.3194 0.65527 0.000 0.148 0.020 0.832 0.000
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.3684 0.60834 0.280 0.720 0.000 0.000 0.000
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 4 0.2561 0.70057 0.000 0.000 0.144 0.856 0.000
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 4 0.2561 0.70057 0.000 0.000 0.144 0.856 0.000
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 2 0.2648 0.78343 0.000 0.848 0.152 0.000 0.000
#> CA356591-D24F-41A8-8C9A-1178C7781510 4 0.0000 0.73080 0.000 0.000 0.000 1.000 0.000
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 5 0.0000 0.86725 0.000 0.000 0.000 0.000 1.000
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.0162 0.88912 0.996 0.000 0.004 0.000 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 6 0.3072 0.65690 0.000 0.000 0.076 0.084 0.000 0.840
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 2 0.5258 0.63101 0.000 0.676 0.036 0.136 0.000 0.152
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 4 0.4025 -0.08631 0.000 0.000 0.008 0.576 0.000 0.416
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.0000 0.86239 0.000 1.000 0.000 0.000 0.000 0.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 6 0.3219 0.65922 0.000 0.000 0.068 0.064 0.020 0.848
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 1 0.4635 0.52404 0.608 0.056 0.336 0.000 0.000 0.000
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 6 0.3883 0.64735 0.000 0.000 0.088 0.088 0.024 0.800
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 6 0.3412 0.64451 0.000 0.000 0.128 0.064 0.000 0.808
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.0146 0.86193 0.000 0.996 0.004 0.000 0.000 0.000
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.0000 0.86239 0.000 1.000 0.000 0.000 0.000 0.000
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.1327 0.84337 0.000 0.936 0.000 0.064 0.000 0.000
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.5937 0.05298 0.000 0.000 0.428 0.352 0.000 0.220
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.0000 0.84091 1.000 0.000 0.000 0.000 0.000 0.000
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.0000 0.86239 0.000 1.000 0.000 0.000 0.000 0.000
#> ECB2DF14-CF68-44D4-8719-973AE448B992 5 0.0000 0.86922 0.000 0.000 0.000 0.000 1.000 0.000
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 6 0.3344 0.63931 0.000 0.000 0.152 0.044 0.000 0.804
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 5 0.2070 0.80994 0.000 0.000 0.100 0.008 0.892 0.000
#> 3282F146-2782-4877-9EFE-6020AC277A8C 6 0.3118 0.65395 0.000 0.000 0.092 0.072 0.000 0.836
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 5 0.0000 0.86922 0.000 0.000 0.000 0.000 1.000 0.000
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 2 0.6360 0.09834 0.000 0.392 0.352 0.008 0.244 0.004
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.1168 0.85303 0.000 0.956 0.016 0.028 0.000 0.000
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 3 0.2979 0.34243 0.000 0.000 0.840 0.116 0.000 0.044
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.0000 0.86239 0.000 1.000 0.000 0.000 0.000 0.000
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 3 0.2442 0.39081 0.144 0.000 0.852 0.004 0.000 0.000
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 5 0.0000 0.86922 0.000 0.000 0.000 0.000 1.000 0.000
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 3 0.4819 0.17326 0.000 0.000 0.628 0.284 0.000 0.088
#> C945DDA9-0194-46F4-89E2-13883284D5A4 3 0.6001 0.05172 0.000 0.000 0.424 0.328 0.000 0.248
#> 79B11925-9772-474F-A729-D00315959710 1 0.1267 0.83076 0.940 0.000 0.060 0.000 0.000 0.000
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 6 0.4545 0.34379 0.000 0.344 0.032 0.008 0.000 0.616
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 3 0.2664 0.38520 0.184 0.000 0.816 0.000 0.000 0.000
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 5 0.0000 0.86922 0.000 0.000 0.000 0.000 1.000 0.000
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 5 0.0000 0.86922 0.000 0.000 0.000 0.000 1.000 0.000
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 4 0.3850 0.19377 0.000 0.340 0.004 0.652 0.000 0.004
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 3 0.2593 0.37125 0.012 0.000 0.884 0.068 0.000 0.036
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.4775 0.18502 0.000 0.000 0.588 0.348 0.000 0.064
#> 26796E5F-C0C2-466C-9012-882F6D29C149 4 0.6054 0.09343 0.000 0.000 0.268 0.404 0.000 0.328
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 0.3446 0.61232 0.692 0.000 0.308 0.000 0.000 0.000
#> 1492D21A-6458-4B49-B530-7A327FCDD031 5 0.5501 0.39460 0.236 0.000 0.200 0.000 0.564 0.000
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 5 0.0000 0.86922 0.000 0.000 0.000 0.000 1.000 0.000
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 6 0.3582 0.48379 0.000 0.000 0.036 0.196 0.000 0.768
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.0363 0.84040 0.988 0.000 0.012 0.000 0.000 0.000
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 5 0.0000 0.86922 0.000 0.000 0.000 0.000 1.000 0.000
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.0000 0.86239 0.000 1.000 0.000 0.000 0.000 0.000
#> E846120D-D9E6-46F8-9647-2272AB064072 1 0.2997 0.79348 0.844 0.000 0.060 0.000 0.096 0.000
#> 36880C8C-91A9-49A9-A2D5-957161737F31 1 0.3998 -0.03514 0.504 0.492 0.000 0.004 0.000 0.000
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.0260 0.86002 0.008 0.992 0.000 0.000 0.000 0.000
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 2 0.0000 0.86239 0.000 1.000 0.000 0.000 0.000 0.000
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 3 0.3869 -0.28622 0.500 0.000 0.500 0.000 0.000 0.000
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 3 0.5453 0.31492 0.112 0.000 0.680 0.160 0.032 0.016
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 2 0.0000 0.86239 0.000 1.000 0.000 0.000 0.000 0.000
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 6 0.2554 0.59545 0.000 0.000 0.048 0.076 0.000 0.876
#> 116F3F29-AB89-4F00-9003-559041E285EB 6 0.2006 0.66035 0.000 0.000 0.080 0.016 0.000 0.904
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.4993 0.41793 0.080 0.600 0.004 0.316 0.000 0.000
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 1 0.7459 0.25940 0.464 0.000 0.244 0.044 0.076 0.172
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 6 0.4932 0.59459 0.000 0.084 0.092 0.096 0.000 0.728
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 5 0.3446 0.57747 0.000 0.000 0.000 0.308 0.692 0.000
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 1 0.0000 0.84091 1.000 0.000 0.000 0.000 0.000 0.000
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 4 0.3521 0.26255 0.000 0.268 0.004 0.724 0.000 0.004
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 4 0.7510 0.13725 0.000 0.168 0.264 0.360 0.000 0.208
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.0000 0.84091 1.000 0.000 0.000 0.000 0.000 0.000
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 3 0.5798 0.06765 0.000 0.000 0.460 0.352 0.000 0.188
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.0260 0.85980 0.008 0.992 0.000 0.000 0.000 0.000
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 4 0.5131 -0.03148 0.000 0.000 0.396 0.540 0.036 0.028
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 3 0.4466 0.10887 0.336 0.000 0.620 0.044 0.000 0.000
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 6 0.3695 0.52797 0.032 0.012 0.040 0.088 0.000 0.828
#> CD576099-5450-4232-9B59-08341BED8FFA 4 0.5649 0.14844 0.000 0.000 0.228 0.536 0.000 0.236
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 6 0.3961 0.30159 0.000 0.000 0.004 0.440 0.000 0.556
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 1 0.0692 0.83563 0.976 0.000 0.000 0.004 0.020 0.000
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 1 0.1204 0.83170 0.944 0.000 0.056 0.000 0.000 0.000
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 2 0.4224 0.56274 0.000 0.640 0.016 0.336 0.000 0.008
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 6 0.5697 0.26443 0.000 0.000 0.000 0.200 0.284 0.516
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 6 0.2743 0.57658 0.000 0.000 0.008 0.000 0.164 0.828
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 1 0.2003 0.80833 0.884 0.000 0.116 0.000 0.000 0.000
#> 57E380FC-B6AB-466F-9936-D52192888008 1 0.2357 0.78598 0.872 0.000 0.012 0.000 0.116 0.000
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 6 0.1930 0.61446 0.000 0.000 0.048 0.036 0.000 0.916
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 1 0.1714 0.81923 0.908 0.000 0.092 0.000 0.000 0.000
#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 5 0.6125 0.06288 0.000 0.000 0.000 0.340 0.348 0.312
#> 1D4F0B66-720D-484D-B8D5-2B290ED208A8 6 0.2912 0.65885 0.000 0.000 0.076 0.072 0.000 0.852
#> C886CA33-5080-4E3E-88A2-F9A3CF03A857 3 0.4870 0.29622 0.040 0.044 0.716 0.188 0.000 0.012
#> 9AC963E4-F82D-460E-9CAD-C651B879780A 2 0.3706 0.33596 0.000 0.620 0.000 0.000 0.000 0.380
#> 1B6CF403-D0AE-4FFE-A884-660A58F32660 4 0.6097 0.06386 0.000 0.000 0.284 0.372 0.000 0.344
#> B33316E1-11FD-4C10-956A-C9C6F78508C5 1 0.5521 0.20870 0.468 0.000 0.132 0.000 0.400 0.000
#> BB02EF6A-C57D-4A79-99C1-ED43A72FFAF7 2 0.0725 0.85852 0.000 0.976 0.012 0.012 0.000 0.000
#> 4DBA59AD-9393-4BE6-88CB-852C62C4A334 6 0.2365 0.62651 0.000 0.000 0.040 0.072 0.000 0.888
#> 7887EDC4-A0D7-4E57-B3A1-330A5683457D 5 0.0000 0.86922 0.000 0.000 0.000 0.000 1.000 0.000
#> 2CD3AC14-46FB-4260-AE5C-4305C68D49BC 4 0.6320 0.04855 0.000 0.000 0.052 0.464 0.364 0.120
#> BAB8FA79-208A-488D-B955-806263E5D6BB 6 0.4599 0.53911 0.000 0.000 0.164 0.140 0.000 0.696
#> 98C990E7-7E3B-4200-A88D-E641931302EA 1 0.0146 0.84076 0.996 0.000 0.000 0.004 0.000 0.000
#> 894EE382-5ACA-4DEB-9267-99ADBEF6DA19 4 0.4532 0.21274 0.000 0.000 0.108 0.696 0.000 0.196
#> 98795F95-D26D-438A-AF46-B3BC3553F020 5 0.5103 0.65803 0.040 0.000 0.048 0.032 0.720 0.160
#> 9AD4C328-1554-4C92-931C-30CE8F305FDE 1 0.0000 0.84091 1.000 0.000 0.000 0.000 0.000 0.000
#> 4D1518D9-D968-4E7F-A702-5157A1A2E83E 1 0.0146 0.84076 0.996 0.000 0.000 0.004 0.000 0.000
#> A6E8AF8C-5D7B-4197-990B-786A869ACB96 1 0.3864 0.31532 0.520 0.000 0.480 0.000 0.000 0.000
#> DF8B4E19-8C78-4A68-8FAE-DFF01076BC97 2 0.3398 0.69958 0.000 0.768 0.012 0.216 0.000 0.004
#> 8D2C608F-3280-4CA2-B996-9AE3DBDBBD28 4 0.6170 0.02520 0.000 0.012 0.380 0.412 0.000 0.196
#> E7BCBD8D-1219-4A99-948A-47A258A5CD8B 6 0.3112 0.65808 0.000 0.004 0.104 0.052 0.000 0.840
#> 2C9633A5-8ACB-4D16-8120-F098BA14BB04 2 0.0146 0.86210 0.000 0.996 0.004 0.000 0.000 0.000
#> 985D9304-E4DA-4038-B235-067CBFEAC902 2 0.2219 0.77254 0.000 0.864 0.000 0.136 0.000 0.000
#> D34CE243-6F4F-4158-9FC4-77E1640E8A91 2 0.0000 0.86239 0.000 1.000 0.000 0.000 0.000 0.000
#> 65131575-48D3-42C2-B411-3DB871EF5EE1 6 0.6228 0.21114 0.000 0.000 0.232 0.312 0.012 0.444
#> 1AE13DFA-670C-43EE-9898-8FA831AEDDB3 6 0.3227 0.65000 0.000 0.000 0.084 0.088 0.000 0.828
#> 3ACDCD29-1B8D-455D-9EE9-D6C903B16D09 5 0.0000 0.86922 0.000 0.000 0.000 0.000 1.000 0.000
#> C6FBC35B-0113-4F00-BE1A-831D2C551055 3 0.5180 0.32681 0.084 0.000 0.708 0.156 0.016 0.036
#> A8F3285D-A85E-4E73-9D20-9D14AA51916B 6 0.1007 0.62188 0.000 0.000 0.044 0.000 0.000 0.956
#> 51601A73-2D75-4056-AEBB-8FF8DB813450 6 0.6307 -0.17874 0.008 0.000 0.344 0.280 0.000 0.368
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#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 6 0.2071 0.66085 0.000 0.012 0.044 0.028 0.000 0.916
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 1 0.5535 0.18918 0.436 0.000 0.132 0.432 0.000 0.000
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 6 0.2858 0.64817 0.000 0.000 0.032 0.124 0.000 0.844
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.0146 0.84076 0.996 0.000 0.000 0.004 0.000 0.000
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 4 0.3519 0.15213 0.008 0.000 0.232 0.752 0.000 0.008
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.3752 0.73525 0.772 0.000 0.164 0.000 0.000 0.064
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.0790 0.83785 0.968 0.000 0.032 0.000 0.000 0.000
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.2854 0.73206 0.792 0.000 0.208 0.000 0.000 0.000
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.0000 0.86239 0.000 1.000 0.000 0.000 0.000 0.000
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 5 0.0000 0.86922 0.000 0.000 0.000 0.000 1.000 0.000
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.2768 0.74957 0.832 0.000 0.000 0.012 0.156 0.000
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 5 0.0000 0.86922 0.000 0.000 0.000 0.000 1.000 0.000
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.0146 0.84076 0.996 0.000 0.000 0.004 0.000 0.000
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 4 0.4545 0.21293 0.000 0.000 0.008 0.704 0.080 0.208
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 6 0.3502 0.64781 0.000 0.004 0.108 0.076 0.000 0.812
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 4 0.6113 0.05384 0.076 0.000 0.284 0.552 0.088 0.000
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 6 0.3107 0.65456 0.000 0.000 0.116 0.052 0.000 0.832
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 6 0.3063 0.65583 0.000 0.000 0.092 0.068 0.000 0.840
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 6 0.0865 0.62613 0.000 0.000 0.036 0.000 0.000 0.964
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.3175 0.67705 0.744 0.000 0.256 0.000 0.000 0.000
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.4086 0.27438 0.528 0.000 0.464 0.008 0.000 0.000
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 5 0.0000 0.86922 0.000 0.000 0.000 0.000 1.000 0.000
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.1895 0.83521 0.000 0.912 0.016 0.072 0.000 0.000
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.2039 0.83234 0.000 0.904 0.020 0.076 0.000 0.000
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 6 0.5644 0.30134 0.000 0.000 0.188 0.288 0.000 0.524
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 6 0.5174 0.53280 0.000 0.120 0.036 0.160 0.000 0.684
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.3330 0.57397 0.284 0.716 0.000 0.000 0.000 0.000
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 6 0.1007 0.62188 0.000 0.000 0.044 0.000 0.000 0.956
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 6 0.1219 0.61998 0.000 0.000 0.048 0.004 0.000 0.948
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 2 0.5414 0.57720 0.000 0.644 0.032 0.208 0.000 0.116
#> CA356591-D24F-41A8-8C9A-1178C7781510 6 0.3072 0.65514 0.000 0.000 0.084 0.076 0.000 0.840
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 5 0.0000 0.86922 0.000 0.000 0.000 0.000 1.000 0.000
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.1267 0.83064 0.940 0.000 0.060 0.000 0.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["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 17888 rows and 430 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 0.341 0.742 0.869 0.4915 0.499 0.499
#> 3 3 0.224 0.426 0.699 0.2570 0.858 0.729
#> 4 4 0.390 0.588 0.744 0.1368 0.794 0.547
#> 5 5 0.485 0.488 0.722 0.0921 0.866 0.588
#> 6 6 0.560 0.528 0.724 0.0428 0.868 0.522
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
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 2 0.6712 0.7836 0.176 0.824
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 2 0.0376 0.8416 0.004 0.996
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 2 0.7376 0.7666 0.208 0.792
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.0000 0.8410 0.000 1.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 2 0.7376 0.7666 0.208 0.792
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 2 0.5059 0.8001 0.112 0.888
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 1 0.5737 0.7994 0.864 0.136
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 1 0.3431 0.8351 0.936 0.064
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.0000 0.8410 0.000 1.000
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.0376 0.8409 0.004 0.996
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.0000 0.8410 0.000 1.000
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 1 0.9933 0.1063 0.548 0.452
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 2 0.7376 0.7761 0.208 0.792
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.0000 0.8410 0.000 1.000
#> ECB2DF14-CF68-44D4-8719-973AE448B992 1 0.2043 0.8434 0.968 0.032
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 1 0.8081 0.7323 0.752 0.248
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 1 0.8016 0.6604 0.756 0.244
#> 3282F146-2782-4877-9EFE-6020AC277A8C 2 0.9996 -0.1026 0.488 0.512
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 1 0.1633 0.8432 0.976 0.024
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 2 0.5294 0.8168 0.120 0.880
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.0000 0.8410 0.000 1.000
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 2 0.7883 0.6411 0.236 0.764
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.0000 0.8410 0.000 1.000
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 1 0.9815 0.2221 0.580 0.420
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 2 0.9686 0.4744 0.396 0.604
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 2 0.0938 0.8420 0.012 0.988
#> C945DDA9-0194-46F4-89E2-13883284D5A4 1 0.9044 0.5226 0.680 0.320
#> 79B11925-9772-474F-A729-D00315959710 1 0.4939 0.8001 0.892 0.108
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 2 0.0000 0.8410 0.000 1.000
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 1 0.7299 0.7200 0.796 0.204
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 1 0.3733 0.8305 0.928 0.072
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.0000 0.8427 1.000 0.000
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.9000 0.4701 0.316 0.684
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 2 0.7219 0.7712 0.200 0.800
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 1 0.9522 0.4041 0.628 0.372
#> 26796E5F-C0C2-466C-9012-882F6D29C149 2 0.8267 0.7151 0.260 0.740
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 1.0000 -0.1071 0.504 0.496
#> 1492D21A-6458-4B49-B530-7A327FCDD031 1 0.0000 0.8427 1.000 0.000
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 1 0.1414 0.8407 0.980 0.020
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 1 0.5408 0.8226 0.876 0.124
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.0000 0.8427 1.000 0.000
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 1 0.4022 0.8276 0.920 0.080
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.3584 0.8063 0.068 0.932
#> E846120D-D9E6-46F8-9647-2272AB064072 1 0.4690 0.8045 0.900 0.100
#> 36880C8C-91A9-49A9-A2D5-957161737F31 2 0.2948 0.8181 0.052 0.948
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.0672 0.8392 0.008 0.992
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 2 0.2778 0.8203 0.048 0.952
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 1 0.0672 0.8432 0.992 0.008
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 1 0.4298 0.8151 0.912 0.088
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 2 0.2423 0.8251 0.040 0.960
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 1 0.6438 0.7718 0.836 0.164
#> 116F3F29-AB89-4F00-9003-559041E285EB 2 0.6531 0.7920 0.168 0.832
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 1 0.8327 0.7108 0.736 0.264
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 1 0.9896 0.1142 0.560 0.440
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 2 0.7139 0.7735 0.196 0.804
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 1 0.8386 0.6844 0.732 0.268
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 2 0.5519 0.7939 0.128 0.872
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 2 0.1184 0.8420 0.016 0.984
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 2 0.0672 0.8419 0.008 0.992
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.6438 0.7537 0.836 0.164
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 2 0.9129 0.6089 0.328 0.672
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.3274 0.8183 0.060 0.940
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 1 0.4690 0.8113 0.900 0.100
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 1 0.4298 0.8259 0.912 0.088
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 2 0.7299 0.7295 0.204 0.796
#> CD576099-5450-4232-9B59-08341BED8FFA 2 0.7219 0.7018 0.200 0.800
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 1 0.9170 0.6368 0.668 0.332
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 1 0.5842 0.7747 0.860 0.140
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 1 0.0000 0.8427 1.000 0.000
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 2 0.0938 0.8407 0.012 0.988
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 1 0.1184 0.8438 0.984 0.016
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 1 0.4022 0.8276 0.920 0.080
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 1 0.0000 0.8427 1.000 0.000
#> 57E380FC-B6AB-466F-9936-D52192888008 1 0.0000 0.8427 1.000 0.000
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 1 0.7299 0.7292 0.796 0.204
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 1 0.4431 0.8085 0.908 0.092
#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 1 0.7674 0.7592 0.776 0.224
#> 1D4F0B66-720D-484D-B8D5-2B290ED208A8 1 0.4022 0.8276 0.920 0.080
#> C886CA33-5080-4E3E-88A2-F9A3CF03A857 2 0.7219 0.7722 0.200 0.800
#> 9AC963E4-F82D-460E-9CAD-C651B879780A 2 0.0376 0.8404 0.004 0.996
#> 1B6CF403-D0AE-4FFE-A884-660A58F32660 2 0.2603 0.8390 0.044 0.956
#> B33316E1-11FD-4C10-956A-C9C6F78508C5 1 0.1843 0.8406 0.972 0.028
#> BB02EF6A-C57D-4A79-99C1-ED43A72FFAF7 2 0.0000 0.8410 0.000 1.000
#> 4DBA59AD-9393-4BE6-88CB-852C62C4A334 2 0.9460 0.5365 0.364 0.636
#> 7887EDC4-A0D7-4E57-B3A1-330A5683457D 1 0.0000 0.8427 1.000 0.000
#> 2CD3AC14-46FB-4260-AE5C-4305C68D49BC 1 0.7674 0.7430 0.776 0.224
#> BAB8FA79-208A-488D-B955-806263E5D6BB 2 0.7219 0.7712 0.200 0.800
#> 98C990E7-7E3B-4200-A88D-E641931302EA 1 0.6438 0.7564 0.836 0.164
#> 894EE382-5ACA-4DEB-9267-99ADBEF6DA19 1 0.6801 0.7929 0.820 0.180
#> 98795F95-D26D-438A-AF46-B3BC3553F020 1 0.6623 0.7633 0.828 0.172
#> 9AD4C328-1554-4C92-931C-30CE8F305FDE 2 0.4161 0.7976 0.084 0.916
#> 4D1518D9-D968-4E7F-A702-5157A1A2E83E 1 0.6623 0.7498 0.828 0.172
#> A6E8AF8C-5D7B-4197-990B-786A869ACB96 1 0.0376 0.8428 0.996 0.004
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#> 7A42FA71-7FD7-47B6-842B-0BEF0ECD7FB5 1 0.6887 0.7372 0.816 0.184
#> 57F784E9-1827-476B-9AA6-524E842641EA 1 0.9710 0.3014 0.600 0.400
#> 5E79792E-CE89-4ECF-BD4E-B12877E63949 2 0.0672 0.8419 0.008 0.992
#> E9DB46D8-5CE4-472C-8F21-9180F2D4C880 2 0.9963 0.2491 0.464 0.536
#> 7C712EF3-7368-4D97-BB9A-717CF8522C7F 2 0.8813 0.6579 0.300 0.700
#> 30312D82-4966-4EAA-A067-F91852FA8663 2 0.0000 0.8410 0.000 1.000
#> ECC62CBA-16AB-45F0-9C5A-72F302B4A188 1 0.7815 0.6914 0.768 0.232
#> 5AF4899F-D8E1-4CB6-B3DC-F0C60C808838 2 0.3114 0.8350 0.056 0.944
#> BBCEA0D1-DE66-4C0C-8D3C-D1398D04B472 2 0.0000 0.8410 0.000 1.000
#> 154764CD-AC69-4F48-A212-8B27C076C91A 1 0.3584 0.8336 0.932 0.068
#> 33266777-E07B-49D0-9E24-2EDE2577CF16 1 0.0000 0.8427 1.000 0.000
#> 7DAE9720-3922-4680-9F95-75C029B7FDA9 2 0.0376 0.8416 0.004 0.996
#> 1BC2ECED-0425-4382-BB94-F57ED2687F18 1 0.0000 0.8427 1.000 0.000
#> 0901D931-77BE-47B0-AE5F-C26C6A144CA0 2 0.9427 0.5130 0.360 0.640
#> 77AFFD5F-F715-4242-95C9-5F36E061B3E2 1 0.0000 0.8427 1.000 0.000
#> FAB4A6D6-E978-4172-9FE1-79FC50C0F849 1 0.7883 0.6833 0.764 0.236
#> 32C4DF54-39DD-4F62-B938-82ED2A0E0FFD 1 0.1633 0.8433 0.976 0.024
#> 9911D83E-6DDF-4048-9A34-22BFA1D68BBD 2 0.8207 0.7175 0.256 0.744
#> 4BAC0A03-BB88-4D19-86F9-FF093330C9B3 1 0.3584 0.8319 0.932 0.068
#> 18F63ADA-1828-43DD-AE1F-F36706C204CD 2 0.0672 0.8419 0.008 0.992
#> 66729295-C0AA-42C7-92C9-05194EF02276 1 0.9732 0.2908 0.596 0.404
#> 4CCA3104-B557-403D-AC06-A6D4936DDC04 2 0.7376 0.7666 0.208 0.792
#> 77D4165E-7CB1-4D69-AFE5-C8D914531651 1 0.9661 0.3794 0.608 0.392
#> BA12A05A-622A-424D-8108-3F5916405EB0 2 0.9087 0.6455 0.324 0.676
#> DED4EA4D-9DC2-4419-83EC-2BFE75DC1830 2 0.0000 0.8410 0.000 1.000
#> 13A35364-57C5-4F5A-B077-3BA2689BFDD3 2 0.8499 0.7230 0.276 0.724
#> 2641B816-1D21-496E-85AD-1C690C9146A6 2 0.7139 0.7735 0.196 0.804
#> 96E2AD09-7287-4B91-840E-81444A61D56F 2 0.0672 0.8419 0.008 0.992
#> 62F3327F-FB16-4AD0-BCF5-B180F28281A9 2 0.8713 0.6824 0.292 0.708
#> 112F7032-0212-4939-9449-D67E3600CCD5 2 0.0000 0.8410 0.000 1.000
#> A3B4DE21-DDF0-4468-A300-7BECBAFD0BCD 1 0.0000 0.8427 1.000 0.000
#> 0A03E593-6931-419C-AE47-51D75185C2C0 1 0.8861 0.5707 0.696 0.304
#> 2416A3DC-A563-4FD1-A139-0E6EF7185211 2 0.0000 0.8410 0.000 1.000
#> 18B29573-822C-405F-B793-DBC8924866CE 2 0.0000 0.8410 0.000 1.000
#> 994EC227-B239-4CEE-AC96-EB5CC0AF583E 1 0.0000 0.8427 1.000 0.000
#> 950933A3-5757-4914-9DC5-C220C2A455FD 2 0.7219 0.7712 0.200 0.800
#> DBDFE95C-F941-407A-BE7D-D43D50143C4D 1 0.8608 0.6398 0.716 0.284
#> D024393C-29D0-41C4-AB86-7E94581FDD26 1 0.4161 0.8266 0.916 0.084
#> 4975AB35-93E5-400D-A429-CEA81BA89FFE 1 0.0376 0.8432 0.996 0.004
#> 666ADCA2-1AE4-4843-B1C8-8EE29C44AE74 1 0.1414 0.8435 0.980 0.020
#> A8F79C08-3943-4707-ADCB-890A955B5394 2 0.0000 0.8410 0.000 1.000
#> A81614ED-14CB-4EBC-988E-F67FBCBF62D8 1 0.6973 0.7334 0.812 0.188
#> E27E65C8-5B57-4C91-9D20-C075AEA2F2C5 2 0.7139 0.7751 0.196 0.804
#> 745F18CA-080D-42FE-BAA6-89AD7E3D3408 1 0.8661 0.6919 0.712 0.288
#> E755A625-799D-4A39-9D56-080228E0B669 2 0.4022 0.7990 0.080 0.920
#> 3D94EFB8-94D4-4FDE-97D8-18A159279996 2 0.5408 0.7713 0.124 0.876
#> 3D305C2E-6C86-4684-AA2A-155291AB4CC3 1 0.0000 0.8427 1.000 0.000
#> E140052A-5434-4C44-9873-0318D1D272CA 2 0.0000 0.8410 0.000 1.000
#> 68E56692-D46D-4A27-86CD-717E10AADDDA 1 0.4431 0.8240 0.908 0.092
#> 00A0586E-5F05-47B3-925C-87E811B0893B 1 0.9000 0.5457 0.684 0.316
#> E2B019A7-7C95-40FE-800C-D30E9730825C 1 0.0000 0.8427 1.000 0.000
#> 1B9ABB69-5CC6-4B6B-ABBC-71CC3274C7F0 1 0.0000 0.8427 1.000 0.000
#> FAE396AA-3C3C-4AF9-953D-385C41B2DB5B 1 0.0000 0.8427 1.000 0.000
#> 6BE4397D-1E5B-4486-83B4-EE0EC146C805 2 0.0000 0.8410 0.000 1.000
#> EE38BD4E-5A08-4639-912F-04203F53762F 1 0.6623 0.7498 0.828 0.172
#> 4050E7F8-80B6-46F2-8FF0-D4EC313E975B 2 0.7139 0.7735 0.196 0.804
#> F3565161-FFBE-4138-9773-558DB386710C 1 0.0000 0.8427 1.000 0.000
#> BA9ABEB1-D3F0-4F09-A647-25211C47C3D0 2 0.0376 0.8405 0.004 0.996
#> 9E41E79A-4028-4F60-8250-411F191B665C 1 0.0000 0.8427 1.000 0.000
#> 5F1D3EFD-ECDA-4C92-8D81-491484F09C95 2 0.9833 0.3764 0.424 0.576
#> 0DBA04CB-417D-4E2B-BE83-3563F45291C4 1 0.6531 0.7509 0.832 0.168
#> B9B882A5-194B-4F5C-B702-0CF71CA6D9D2 2 0.2043 0.8348 0.032 0.968
#> 67FE7638-B8F5-4631-B178-AC23B0382983 1 0.2948 0.8334 0.948 0.052
#> FE03FC2C-9A4E-4F89-8681-E33DFECCC692 2 0.0000 0.8410 0.000 1.000
#> 2B22B4B7-8A39-435C-BE3B-86FA84C8F941 2 0.1414 0.8417 0.020 0.980
#> 00844B35-C108-4AEC-A687-4A91A2F33E6D 1 0.0000 0.8427 1.000 0.000
#> C221EE7A-6343-4B6D-B322-0A2C0F0B29AF 1 0.0000 0.8427 1.000 0.000
#> B28A6D56-7654-4829-BF1F-657C3C2C10D8 1 0.0000 0.8427 1.000 0.000
#> F4C7BCEC-3CD4-4D9A-89EA-0ED58EA0DCFE 1 0.0000 0.8427 1.000 0.000
#> F06FBFAB-D143-47AE-BEE7-51B48164764F 2 0.6531 0.7928 0.168 0.832
#> 525F522B-E865-4479-AE65-510903ABF46F 2 0.1633 0.8412 0.024 0.976
#> F0CB60E3-C412-46A2-918F-8C5C099AB224 1 0.3584 0.8319 0.932 0.068
#> 587F307F-6E1B-487E-8E47-A99AB43DC5B4 2 0.7602 0.7557 0.220 0.780
#> 883D9145-8414-4571-A3E1-516F03452C46 2 0.7376 0.7657 0.208 0.792
#> 4A917271-7EA0-4F43-B474-7F5EA756EB05 1 0.6343 0.7584 0.840 0.160
#> BB33015D-218C-4A1E-8839-95837D6E9B88 1 0.9635 0.4821 0.612 0.388
#> 021CC81F-710D-4EEA-B1D8-012A81715ACC 1 0.0000 0.8427 1.000 0.000
#> B00C4925-47E3-4442-ABEB-82D714A26587 1 0.0672 0.8434 0.992 0.008
#> F79B27D3-0426-47BB-9756-7E0759246E5E 2 0.0000 0.8410 0.000 1.000
#> 1F179559-D93E-491C-B499-64F86C31DAE0 1 0.3733 0.8305 0.928 0.072
#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 1 0.3274 0.8363 0.940 0.060
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 2 0.9933 0.3006 0.452 0.548
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 1 0.0000 0.8427 1.000 0.000
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 2 0.0000 0.8410 0.000 1.000
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 1 0.9754 0.1831 0.592 0.408
#> ED9794C0-AC60-4B54-8214-D26714871BBF 1 0.6438 0.7537 0.836 0.164
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 1 0.7528 0.7652 0.784 0.216
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 2 0.0000 0.8410 0.000 1.000
#> 18D816AF-394A-482F-B22E-896A43B1E481 2 0.7139 0.6572 0.196 0.804
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 1 0.6438 0.7599 0.836 0.164
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 2 0.7219 0.7712 0.200 0.800
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 2 0.0000 0.8410 0.000 1.000
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 1 0.5294 0.8091 0.880 0.120
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 1 0.0376 0.8433 0.996 0.004
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 2 0.1184 0.8429 0.016 0.984
#> 7E809698-2473-4EFE-B896-1637983EC596 2 0.0000 0.8410 0.000 1.000
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 2 0.7299 0.7686 0.204 0.796
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 1 1.0000 -0.1170 0.500 0.500
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 2 0.0000 0.8410 0.000 1.000
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.7674 0.7239 0.776 0.224
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 2 0.9896 0.1644 0.440 0.560
#> 73F28A79-7D35-4FE9-849D-FFE681483928 1 0.4022 0.8276 0.920 0.080
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 2 0.8713 0.7067 0.292 0.708
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 1 0.9170 0.4933 0.668 0.332
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 2 0.5946 0.8045 0.144 0.856
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.0000 0.8410 0.000 1.000
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.3431 0.8250 0.936 0.064
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 1 0.6531 0.7303 0.832 0.168
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 1 0.0000 0.8427 1.000 0.000
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 1 0.0000 0.8427 1.000 0.000
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 2 0.9491 0.4895 0.368 0.632
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.5059 0.7966 0.888 0.112
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.0000 0.8410 0.000 1.000
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 1 0.4022 0.8276 0.920 0.080
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.0000 0.8410 0.000 1.000
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 2 0.1633 0.8412 0.024 0.976
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 1 0.8661 0.6925 0.712 0.288
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 1 0.6438 0.7537 0.836 0.164
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 1 0.4431 0.8147 0.908 0.092
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.6438 0.7537 0.836 0.164
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 1 0.9427 0.4163 0.640 0.360
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.8713 0.5182 0.708 0.292
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 2 0.4562 0.7968 0.096 0.904
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.0000 0.8427 1.000 0.000
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.9710 0.1399 0.400 0.600
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 1 0.8144 0.6538 0.748 0.252
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.8327 0.6230 0.736 0.264
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 1 0.1414 0.8438 0.980 0.020
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.9963 -0.1080 0.536 0.464
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 2 0.9866 0.3759 0.432 0.568
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 2 0.0672 0.8395 0.008 0.992
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 1 0.4161 0.8147 0.916 0.084
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 1 0.5294 0.8106 0.880 0.120
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 2 0.9522 0.3977 0.372 0.628
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 2 0.9996 0.1564 0.488 0.512
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 2 0.9988 0.3168 0.480 0.520
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 2 0.9209 0.5986 0.336 0.664
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 1 0.0000 0.8427 1.000 0.000
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.0000 0.8410 0.000 1.000
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.0000 0.8410 0.000 1.000
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 2 0.9815 0.3956 0.420 0.580
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 2 0.1843 0.8346 0.028 0.972
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.3879 0.8015 0.076 0.924
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 1 0.9209 0.4825 0.664 0.336
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 2 0.9963 0.2673 0.464 0.536
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 2 0.0938 0.8420 0.012 0.988
#> CA356591-D24F-41A8-8C9A-1178C7781510 1 0.4690 0.8259 0.900 0.100
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 1 0.4022 0.8276 0.920 0.080
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.0000 0.8427 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 3 0.6393 0.51752 0.112 0.120 0.768
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.5892 0.36924 0.100 0.104 0.796
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 3 0.4465 0.55206 0.176 0.004 0.820
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.6295 0.50295 0.000 0.528 0.472
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 3 0.4121 0.55399 0.168 0.000 0.832
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 3 0.8284 0.17496 0.224 0.148 0.628
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 1 0.5835 0.55915 0.660 0.000 0.340
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 1 0.5595 0.68063 0.756 0.016 0.228
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 3 0.6309 -0.46755 0.000 0.496 0.504
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 3 0.6505 -0.41634 0.004 0.468 0.528
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 3 0.4002 0.38902 0.000 0.160 0.840
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.6267 0.03543 0.452 0.000 0.548
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 2 0.9576 0.08169 0.196 0.408 0.396
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 3 0.6468 -0.36321 0.004 0.444 0.552
#> ECB2DF14-CF68-44D4-8719-973AE448B992 1 0.6299 0.71278 0.772 0.096 0.132
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 1 0.7298 0.54388 0.692 0.220 0.088
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 1 0.8814 0.51978 0.548 0.140 0.312
#> 3282F146-2782-4877-9EFE-6020AC277A8C 3 0.6154 -0.00136 0.408 0.000 0.592
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 1 0.7104 0.68763 0.724 0.140 0.136
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 3 0.3771 0.55319 0.112 0.012 0.876
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 3 0.3619 0.40480 0.000 0.136 0.864
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 3 0.6726 0.35134 0.332 0.024 0.644
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 3 0.6291 -0.41245 0.000 0.468 0.532
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 1 0.7508 0.14668 0.544 0.040 0.416
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 3 0.8452 0.33645 0.256 0.140 0.604
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 3 0.2860 0.49927 0.084 0.004 0.912
#> C945DDA9-0194-46F4-89E2-13883284D5A4 1 0.6235 0.34900 0.564 0.000 0.436
#> 79B11925-9772-474F-A729-D00315959710 1 0.5948 0.49831 0.640 0.360 0.000
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 3 0.6252 -0.35782 0.000 0.444 0.556
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 1 0.5901 0.64108 0.768 0.040 0.192
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 1 0.7932 0.65267 0.660 0.140 0.200
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.6892 0.69174 0.736 0.152 0.112
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#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.5558 0.64150 0.800 0.152 0.048
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 2 0.9707 -0.09103 0.352 0.424 0.224
#> 73F28A79-7D35-4FE9-849D-FFE681483928 1 0.4654 0.67399 0.792 0.000 0.208
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 3 0.7898 0.39550 0.232 0.116 0.652
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 1 0.6274 0.30244 0.544 0.000 0.456
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 3 0.9736 -0.04035 0.228 0.356 0.416
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.6295 0.50328 0.000 0.528 0.472
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.6308 0.38190 0.508 0.492 0.000
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 1 0.7634 0.58500 0.668 0.100 0.232
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 1 0.3989 0.71895 0.864 0.012 0.124
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 1 0.6008 0.49157 0.628 0.372 0.000
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.5327 0.47206 0.272 0.000 0.728
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 2 0.6252 -0.34777 0.444 0.556 0.000
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.6302 0.49417 0.000 0.520 0.480
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 1 0.4504 0.67752 0.804 0.000 0.196
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.6483 0.51760 0.004 0.544 0.452
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 3 0.0661 0.54380 0.008 0.004 0.988
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 1 0.9472 0.07629 0.480 0.316 0.204
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 1 0.3856 0.67040 0.888 0.072 0.040
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 1 0.6586 0.65053 0.728 0.056 0.216
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.6410 0.42416 0.576 0.420 0.004
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 1 0.7230 0.36943 0.616 0.040 0.344
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.8845 0.41288 0.576 0.240 0.184
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 2 0.9118 0.28923 0.144 0.468 0.388
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.4351 0.64264 0.828 0.168 0.004
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.8085 0.49417 0.068 0.520 0.412
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 1 0.8362 0.49145 0.556 0.096 0.348
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.5982 0.55960 0.668 0.004 0.328
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 1 0.3941 0.71187 0.844 0.000 0.156
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 2 0.9865 -0.04597 0.332 0.404 0.264
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 3 0.5859 0.39205 0.344 0.000 0.656
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 3 0.6754 -0.34690 0.012 0.432 0.556
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 1 0.4137 0.70079 0.872 0.032 0.096
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 1 0.5216 0.64533 0.740 0.000 0.260
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 2 0.9305 0.36935 0.164 0.456 0.380
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 3 0.6215 0.12832 0.428 0.000 0.572
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.9795 0.13510 0.428 0.256 0.316
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 3 0.7571 0.37261 0.356 0.052 0.592
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 1 0.6714 0.69166 0.748 0.140 0.112
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 3 0.5785 -0.08402 0.000 0.332 0.668
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 3 0.6192 -0.31494 0.000 0.420 0.580
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 3 0.5733 0.41175 0.324 0.000 0.676
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.6617 -0.35019 0.008 0.436 0.556
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.6180 0.52231 0.000 0.584 0.416
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 3 0.6305 -0.11894 0.484 0.000 0.516
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 3 0.8754 0.24803 0.344 0.124 0.532
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.2537 0.50102 0.000 0.080 0.920
#> CA356591-D24F-41A8-8C9A-1178C7781510 1 0.6827 0.58736 0.728 0.192 0.080
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 1 0.7932 0.65267 0.660 0.140 0.200
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.6079 0.47690 0.612 0.388 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 3 0.2313 0.723487 0.000 0.032 0.924 0.044
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.3286 0.671380 0.044 0.080 0.876 0.000
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 3 0.4585 0.546770 0.000 0.000 0.668 0.332
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.5590 0.849368 0.064 0.692 0.244 0.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 3 0.4585 0.517458 0.000 0.000 0.668 0.332
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 3 0.7226 0.269422 0.376 0.096 0.512 0.016
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 4 0.4175 0.633710 0.000 0.012 0.212 0.776
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 4 0.6025 0.430836 0.032 0.012 0.352 0.604
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.4454 0.856205 0.000 0.692 0.308 0.000
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.5233 0.859674 0.012 0.684 0.292 0.012
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 3 0.1940 0.687868 0.000 0.076 0.924 0.000
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 4 0.4933 0.395206 0.016 0.000 0.296 0.688
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.3161 0.714929 0.864 0.012 0.124 0.000
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.4720 0.850207 0.000 0.672 0.324 0.004
#> ECB2DF14-CF68-44D4-8719-973AE448B992 4 0.4426 0.612248 0.024 0.204 0.000 0.772
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 4 0.4819 0.444009 0.004 0.344 0.000 0.652
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 4 0.6466 0.569135 0.032 0.236 0.064 0.668
#> 3282F146-2782-4877-9EFE-6020AC277A8C 4 0.5666 0.108404 0.004 0.016 0.460 0.520
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 4 0.6152 0.535365 0.052 0.296 0.012 0.640
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 3 0.4720 0.657356 0.008 0.020 0.760 0.212
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 3 0.1867 0.690167 0.000 0.072 0.928 0.000
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 3 0.4755 0.579750 0.004 0.012 0.724 0.260
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.4477 0.855432 0.000 0.688 0.312 0.000
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 3 0.7297 0.039408 0.152 0.000 0.456 0.392
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 4 0.8488 0.222152 0.024 0.296 0.292 0.388
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 3 0.0804 0.729874 0.000 0.008 0.980 0.012
#> C945DDA9-0194-46F4-89E2-13883284D5A4 4 0.5437 0.391964 0.008 0.012 0.356 0.624
#> 79B11925-9772-474F-A729-D00315959710 1 0.1302 0.774883 0.956 0.000 0.000 0.044
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 2 0.4564 0.848043 0.000 0.672 0.328 0.000
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 4 0.4919 0.610219 0.152 0.000 0.076 0.772
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 4 0.5314 0.544847 0.024 0.296 0.004 0.676
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 4 0.5745 0.530299 0.044 0.296 0.004 0.656
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 3 0.5173 0.476685 0.000 0.020 0.660 0.320
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 3 0.1610 0.730112 0.032 0.000 0.952 0.016
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 4 0.5193 0.277351 0.008 0.000 0.412 0.580
#> 26796E5F-C0C2-466C-9012-882F6D29C149 3 0.4713 0.466095 0.000 0.000 0.640 0.360
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 0.7858 0.159590 0.396 0.000 0.288 0.316
#> 1492D21A-6458-4B49-B530-7A327FCDD031 4 0.3980 0.649826 0.092 0.052 0.008 0.848
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 4 0.7205 0.422251 0.172 0.296 0.000 0.532
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 4 0.2860 0.662001 0.008 0.100 0.004 0.888
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.2546 0.753977 0.900 0.008 0.000 0.092
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 4 0.4538 0.597687 0.024 0.216 0.000 0.760
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.4843 0.763493 0.000 0.604 0.396 0.000
#> E846120D-D9E6-46F8-9647-2272AB064072 1 0.5631 0.640098 0.696 0.232 0.000 0.072
#> 36880C8C-91A9-49A9-A2D5-957161737F31 2 0.6585 0.764446 0.188 0.632 0.180 0.000
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.5911 0.824573 0.112 0.692 0.196 0.000
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 3 0.3446 0.682740 0.092 0.028 0.872 0.008
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 4 0.5744 0.130136 0.436 0.000 0.028 0.536
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 4 0.2342 0.660390 0.080 0.000 0.008 0.912
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 3 0.6339 0.439114 0.196 0.148 0.656 0.000
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 4 0.3224 0.660137 0.000 0.016 0.120 0.864
#> 116F3F29-AB89-4F00-9003-559041E285EB 3 0.7518 0.212658 0.000 0.260 0.496 0.244
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 4 0.8341 0.263457 0.108 0.340 0.076 0.476
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 4 0.4795 0.500814 0.012 0.000 0.292 0.696
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 3 0.5204 0.465311 0.000 0.012 0.612 0.376
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 4 0.6888 0.498497 0.112 0.004 0.320 0.564
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 1 0.1488 0.761332 0.956 0.012 0.032 0.000
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 3 0.0188 0.725276 0.000 0.004 0.996 0.000
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 3 0.0336 0.728337 0.000 0.000 0.992 0.008
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.1059 0.771846 0.972 0.016 0.000 0.012
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 3 0.4533 0.652206 0.008 0.012 0.764 0.216
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.5962 0.812998 0.128 0.692 0.180 0.000
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 4 0.3279 0.674130 0.032 0.000 0.096 0.872
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 4 0.6447 0.529151 0.132 0.012 0.180 0.676
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 2 0.5758 0.848076 0.008 0.680 0.264 0.048
#> CD576099-5450-4232-9B59-08341BED8FFA 3 0.5813 0.184320 0.012 0.012 0.504 0.472
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 2 0.6261 0.674750 0.004 0.672 0.120 0.204
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 1 0.3208 0.731838 0.848 0.148 0.000 0.004
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 1 0.1302 0.775378 0.956 0.000 0.000 0.044
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 3 0.1042 0.722950 0.000 0.020 0.972 0.008
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 4 0.2497 0.671815 0.040 0.016 0.020 0.924
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 4 0.2408 0.670391 0.016 0.060 0.004 0.920
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 1 0.4353 0.645820 0.756 0.000 0.012 0.232
#> 57E380FC-B6AB-466F-9936-D52192888008 1 0.5816 0.574453 0.688 0.088 0.000 0.224
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 4 0.3529 0.649766 0.000 0.012 0.152 0.836
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 1 0.2011 0.767924 0.920 0.000 0.000 0.080
#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 4 0.7033 0.326921 0.020 0.424 0.068 0.488
#> 1D4F0B66-720D-484D-B8D5-2B290ED208A8 4 0.1930 0.668230 0.004 0.056 0.004 0.936
#> C886CA33-5080-4E3E-88A2-F9A3CF03A857 3 0.6524 0.491172 0.012 0.068 0.604 0.316
#> 9AC963E4-F82D-460E-9CAD-C651B879780A 2 0.5874 0.817319 0.008 0.704 0.208 0.080
#> 1B6CF403-D0AE-4FFE-A884-660A58F32660 3 0.0376 0.727170 0.000 0.004 0.992 0.004
#> B33316E1-11FD-4C10-956A-C9C6F78508C5 4 0.4840 0.631181 0.144 0.028 0.032 0.796
#> BB02EF6A-C57D-4A79-99C1-ED43A72FFAF7 3 0.0817 0.723597 0.000 0.024 0.976 0.000
#> 4DBA59AD-9393-4BE6-88CB-852C62C4A334 3 0.3479 0.693400 0.000 0.012 0.840 0.148
#> 7887EDC4-A0D7-4E57-B3A1-330A5683457D 4 0.6037 0.527381 0.060 0.296 0.004 0.640
#> 2CD3AC14-46FB-4260-AE5C-4305C68D49BC 4 0.3399 0.677883 0.032 0.004 0.092 0.872
#> BAB8FA79-208A-488D-B955-806263E5D6BB 3 0.0921 0.730850 0.000 0.000 0.972 0.028
#> 98C990E7-7E3B-4200-A88D-E641931302EA 1 0.1484 0.774907 0.960 0.020 0.004 0.016
#> 894EE382-5ACA-4DEB-9267-99ADBEF6DA19 4 0.3926 0.653729 0.004 0.016 0.160 0.820
#> 98795F95-D26D-438A-AF46-B3BC3553F020 4 0.5651 0.643187 0.008 0.124 0.128 0.740
#> 9AD4C328-1554-4C92-931C-30CE8F305FDE 1 0.1510 0.761081 0.956 0.016 0.028 0.000
#> 4D1518D9-D968-4E7F-A702-5157A1A2E83E 1 0.1369 0.766858 0.964 0.016 0.016 0.004
#> A6E8AF8C-5D7B-4197-990B-786A869ACB96 4 0.4833 0.547280 0.228 0.000 0.032 0.740
#> DF8B4E19-8C78-4A68-8FAE-DFF01076BC97 3 0.0921 0.717177 0.000 0.028 0.972 0.000
#> 8D2C608F-3280-4CA2-B996-9AE3DBDBBD28 3 0.0188 0.725276 0.000 0.004 0.996 0.000
#> E7BCBD8D-1219-4A99-948A-47A258A5CD8B 2 0.5964 0.795240 0.000 0.676 0.228 0.096
#> 2C9633A5-8ACB-4D16-8120-F098BA14BB04 2 0.5759 0.810714 0.000 0.688 0.232 0.080
#> 985D9304-E4DA-4038-B235-067CBFEAC902 2 0.6177 0.699008 0.016 0.704 0.108 0.172
#> D34CE243-6F4F-4158-9FC4-77E1640E8A91 2 0.5962 0.812998 0.128 0.692 0.180 0.000
#> 65131575-48D3-42C2-B411-3DB871EF5EE1 4 0.2081 0.653862 0.084 0.000 0.000 0.916
#> 1AE13DFA-670C-43EE-9898-8FA831AEDDB3 3 0.2741 0.709625 0.000 0.012 0.892 0.096
#> 3ACDCD29-1B8D-455D-9EE9-D6C903B16D09 4 0.5110 0.546292 0.016 0.296 0.004 0.684
#> C6FBC35B-0113-4F00-BE1A-831D2C551055 4 0.3945 0.562947 0.216 0.000 0.004 0.780
#> A8F3285D-A85E-4E73-9D20-9D14AA51916B 3 0.7567 0.247714 0.000 0.192 0.412 0.396
#> 51601A73-2D75-4056-AEBB-8FF8DB813450 3 0.5279 0.427545 0.000 0.012 0.588 0.400
#> 75021778-A96B-4F57-8C26-68E8F33D7EB7 3 0.5673 0.324645 0.008 0.012 0.536 0.444
#> 71FFB439-22A1-4EBB-AEA6-A6BCA8CA6648 4 0.1042 0.666215 0.020 0.000 0.008 0.972
#> BEDB0135-0A26-44EF-9028-C4907403B110 3 0.5135 0.555916 0.008 0.012 0.684 0.296
#> 3B8BA56B-0E7B-4754-8729-8D613D0484E1 1 0.3157 0.725292 0.852 0.144 0.000 0.004
#> 100BF963-6103-45E6-A760-E44649580CF5 4 0.5846 0.647696 0.112 0.048 0.084 0.756
#> C26F21EA-5911-483F-BF64-03904BF93A20 4 0.6790 0.485010 0.132 0.012 0.220 0.636
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#> DDB6A47A-3E0A-4738-9D1E-EAB8682485C3 3 0.5220 0.023849 0.000 0.352 0.632 0.016
#> 914276B4-F36B-49F9-8F2A-05296459F3EB 2 0.5756 0.839800 0.084 0.692 0.224 0.000
#> 94D3B158-1C7B-43A2-AE00-64E115344C52 2 0.4817 0.769259 0.000 0.612 0.388 0.000
#> 8A125E59-3E7E-4A77-9F5C-94AAD54C95E5 3 0.2924 0.684178 0.100 0.016 0.884 0.000
#> F1AD0BF7-6094-4B0D-9FE1-F8439124269A 1 0.6428 0.324223 0.624 0.264 0.112 0.000
#> 3F7EC434-13A6-46C4-8791-C8992192C3D6 4 0.5519 0.468589 0.004 0.316 0.028 0.652
#> 65D42DF3-62D8-4B1E-B6EB-A0FEEA01FD70 4 0.5666 0.538823 0.040 0.296 0.004 0.660
#> 7A42FA71-7FD7-47B6-842B-0BEF0ECD7FB5 1 0.5558 0.146321 0.528 0.004 0.012 0.456
#> 57F784E9-1827-476B-9AA6-524E842641EA 3 0.5444 0.228953 0.016 0.000 0.560 0.424
#> 5E79792E-CE89-4ECF-BD4E-B12877E63949 3 0.0657 0.729022 0.000 0.004 0.984 0.012
#> E9DB46D8-5CE4-472C-8F21-9180F2D4C880 4 0.5372 0.027933 0.000 0.012 0.444 0.544
#> 7C712EF3-7368-4D97-BB9A-717CF8522C7F 3 0.5268 0.442222 0.000 0.012 0.592 0.396
#> 30312D82-4966-4EAA-A067-F91852FA8663 3 0.2131 0.707307 0.032 0.036 0.932 0.000
#> ECC62CBA-16AB-45F0-9C5A-72F302B4A188 3 0.5165 -0.105990 0.000 0.004 0.512 0.484
#> 5AF4899F-D8E1-4CB6-B3DC-F0C60C808838 3 0.0817 0.719203 0.000 0.024 0.976 0.000
#> BBCEA0D1-DE66-4C0C-8D3C-D1398D04B472 2 0.4522 0.852144 0.000 0.680 0.320 0.000
#> 154764CD-AC69-4F48-A212-8B27C076C91A 4 0.3748 0.664733 0.008 0.088 0.044 0.860
#> 33266777-E07B-49D0-9E24-2EDE2577CF16 1 0.3761 0.748307 0.852 0.080 0.000 0.068
#> 7DAE9720-3922-4680-9F95-75C029B7FDA9 3 0.1661 0.706187 0.004 0.052 0.944 0.000
#> 1BC2ECED-0425-4382-BB94-F57ED2687F18 4 0.3181 0.667701 0.064 0.044 0.004 0.888
#> 0901D931-77BE-47B0-AE5F-C26C6A144CA0 1 0.8606 0.426606 0.524 0.096 0.172 0.208
#> 77AFFD5F-F715-4242-95C9-5F36E061B3E2 4 0.7846 0.189702 0.300 0.296 0.000 0.404
#> FAB4A6D6-E978-4172-9FE1-79FC50C0F849 4 0.7729 0.077165 0.004 0.328 0.208 0.460
#> 32C4DF54-39DD-4F62-B938-82ED2A0E0FFD 4 0.2831 0.648295 0.120 0.000 0.004 0.876
#> 9911D83E-6DDF-4048-9A34-22BFA1D68BBD 3 0.5244 0.411073 0.012 0.000 0.600 0.388
#> 4BAC0A03-BB88-4D19-86F9-FF093330C9B3 4 0.4356 0.624337 0.148 0.000 0.048 0.804
#> 18F63ADA-1828-43DD-AE1F-F36706C204CD 3 0.0817 0.719439 0.000 0.024 0.976 0.000
#> 66729295-C0AA-42C7-92C9-05194EF02276 4 0.4604 0.540650 0.008 0.012 0.224 0.756
#> 4CCA3104-B557-403D-AC06-A6D4936DDC04 3 0.3764 0.660575 0.000 0.000 0.784 0.216
#> 77D4165E-7CB1-4D69-AFE5-C8D914531651 4 0.7317 0.332042 0.004 0.212 0.228 0.556
#> BA12A05A-622A-424D-8108-3F5916405EB0 3 0.6729 0.431608 0.116 0.000 0.572 0.312
#> DED4EA4D-9DC2-4419-83EC-2BFE75DC1830 2 0.4564 0.848043 0.000 0.672 0.328 0.000
#> 13A35364-57C5-4F5A-B077-3BA2689BFDD3 3 0.7753 0.450359 0.184 0.024 0.548 0.244
#> 2641B816-1D21-496E-85AD-1C690C9146A6 3 0.5632 0.388361 0.008 0.012 0.560 0.420
#> 96E2AD09-7287-4B91-840E-81444A61D56F 3 0.0188 0.725276 0.000 0.004 0.996 0.000
#> 62F3327F-FB16-4AD0-BCF5-B180F28281A9 3 0.7529 0.104353 0.000 0.224 0.488 0.288
#> 112F7032-0212-4939-9449-D67E3600CCD5 3 0.4925 -0.307681 0.000 0.428 0.572 0.000
#> A3B4DE21-DDF0-4468-A300-7BECBAFD0BCD 4 0.2670 0.656451 0.024 0.072 0.000 0.904
#> 0A03E593-6931-419C-AE47-51D75185C2C0 4 0.6336 0.434624 0.004 0.076 0.304 0.616
#> 2416A3DC-A563-4FD1-A139-0E6EF7185211 2 0.4522 0.852144 0.000 0.680 0.320 0.000
#> 18B29573-822C-405F-B793-DBC8924866CE 2 0.5131 0.858774 0.028 0.692 0.280 0.000
#> 994EC227-B239-4CEE-AC96-EB5CC0AF583E 4 0.4328 0.510114 0.244 0.008 0.000 0.748
#> 950933A3-5757-4914-9DC5-C220C2A455FD 3 0.3978 0.682581 0.000 0.012 0.796 0.192
#> DBDFE95C-F941-407A-BE7D-D43D50143C4D 2 0.5343 0.505296 0.316 0.656 0.028 0.000
#> D024393C-29D0-41C4-AB86-7E94581FDD26 4 0.2363 0.670007 0.000 0.056 0.024 0.920
#> 4975AB35-93E5-400D-A429-CEA81BA89FFE 4 0.2074 0.673115 0.032 0.012 0.016 0.940
#> 666ADCA2-1AE4-4843-B1C8-8EE29C44AE74 4 0.4687 0.614546 0.176 0.012 0.028 0.784
#> A8F79C08-3943-4707-ADCB-890A955B5394 2 0.4898 0.717899 0.000 0.584 0.416 0.000
#> A81614ED-14CB-4EBC-988E-F67FBCBF62D8 1 0.5438 0.119118 0.536 0.004 0.008 0.452
#> E27E65C8-5B57-4C91-9D20-C075AEA2F2C5 3 0.3617 0.692210 0.108 0.012 0.860 0.020
#> 745F18CA-080D-42FE-BAA6-89AD7E3D3408 4 0.5662 0.237685 0.004 0.016 0.456 0.524
#> E755A625-799D-4A39-9D56-080228E0B669 2 0.7149 0.659505 0.264 0.552 0.184 0.000
#> 3D94EFB8-94D4-4FDE-97D8-18A159279996 3 0.5494 0.624598 0.060 0.060 0.780 0.100
#> 3D305C2E-6C86-4684-AA2A-155291AB4CC3 1 0.7188 -0.002873 0.436 0.136 0.000 0.428
#> E140052A-5434-4C44-9873-0318D1D272CA 2 0.4713 0.812501 0.000 0.640 0.360 0.000
#> 68E56692-D46D-4A27-86CD-717E10AADDDA 4 0.3749 0.656218 0.000 0.032 0.128 0.840
#> 00A0586E-5F05-47B3-925C-87E811B0893B 4 0.4095 0.637680 0.024 0.000 0.172 0.804
#> E2B019A7-7C95-40FE-800C-D30E9730825C 4 0.2859 0.656603 0.112 0.000 0.008 0.880
#> 1B9ABB69-5CC6-4B6B-ABBC-71CC3274C7F0 4 0.4343 0.495347 0.264 0.000 0.004 0.732
#> FAE396AA-3C3C-4AF9-953D-385C41B2DB5B 4 0.5232 0.620772 0.100 0.132 0.004 0.764
#> 6BE4397D-1E5B-4486-83B4-EE0EC146C805 2 0.5088 0.858947 0.024 0.688 0.288 0.000
#> EE38BD4E-5A08-4639-912F-04203F53762F 1 0.3255 0.763687 0.880 0.016 0.012 0.092
#> 4050E7F8-80B6-46F2-8FF0-D4EC313E975B 3 0.3583 0.678770 0.000 0.004 0.816 0.180
#> F3565161-FFBE-4138-9773-558DB386710C 1 0.2149 0.764102 0.912 0.000 0.000 0.088
#> BA9ABEB1-D3F0-4F09-A647-25211C47C3D0 2 0.5195 0.857953 0.032 0.692 0.276 0.000
#> 9E41E79A-4028-4F60-8250-411F191B665C 1 0.2335 0.774895 0.920 0.020 0.000 0.060
#> 5F1D3EFD-ECDA-4C92-8D81-491484F09C95 4 0.5497 0.199789 0.008 0.012 0.372 0.608
#> 0DBA04CB-417D-4E2B-BE83-3563F45291C4 1 0.5967 0.169982 0.540 0.012 0.020 0.428
#> B9B882A5-194B-4F5C-B702-0CF71CA6D9D2 2 0.6021 0.808485 0.008 0.696 0.204 0.092
#> 67FE7638-B8F5-4631-B178-AC23B0382983 1 0.7551 0.141099 0.432 0.132 0.012 0.424
#> FE03FC2C-9A4E-4F89-8681-E33DFECCC692 3 0.5434 0.545280 0.128 0.132 0.740 0.000
#> 2B22B4B7-8A39-435C-BE3B-86FA84C8F941 3 0.0188 0.725276 0.000 0.004 0.996 0.000
#> 00844B35-C108-4AEC-A687-4A91A2F33E6D 1 0.1792 0.771512 0.932 0.000 0.000 0.068
#> C221EE7A-6343-4B6D-B322-0A2C0F0B29AF 1 0.3873 0.674185 0.772 0.000 0.000 0.228
#> B28A6D56-7654-4829-BF1F-657C3C2C10D8 4 0.4857 0.504033 0.284 0.000 0.016 0.700
#> F4C7BCEC-3CD4-4D9A-89EA-0ED58EA0DCFE 4 0.7828 0.201522 0.292 0.296 0.000 0.412
#> F06FBFAB-D143-47AE-BEE7-51B48164764F 3 0.1489 0.723637 0.044 0.000 0.952 0.004
#> 525F522B-E865-4479-AE65-510903ABF46F 3 0.0188 0.725276 0.000 0.004 0.996 0.000
#> F0CB60E3-C412-46A2-918F-8C5C099AB224 4 0.5114 0.560193 0.020 0.280 0.004 0.696
#> 587F307F-6E1B-487E-8E47-A99AB43DC5B4 3 0.5597 0.264866 0.020 0.000 0.516 0.464
#> 883D9145-8414-4571-A3E1-516F03452C46 3 0.3196 0.697810 0.008 0.000 0.856 0.136
#> 4A917271-7EA0-4F43-B474-7F5EA756EB05 1 0.1059 0.772892 0.972 0.012 0.000 0.016
#> BB33015D-218C-4A1E-8839-95837D6E9B88 4 0.5510 0.145376 0.016 0.000 0.480 0.504
#> 021CC81F-710D-4EEA-B1D8-012A81715ACC 4 0.4991 0.463737 0.316 0.008 0.004 0.672
#> B00C4925-47E3-4442-ABEB-82D714A26587 4 0.4944 0.596379 0.032 0.220 0.004 0.744
#> F79B27D3-0426-47BB-9756-7E0759246E5E 2 0.4564 0.848043 0.000 0.672 0.328 0.000
#> 1F179559-D93E-491C-B499-64F86C31DAE0 4 0.2099 0.668798 0.020 0.040 0.004 0.936
#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 4 0.5110 0.546292 0.016 0.296 0.004 0.684
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 3 0.7106 0.280092 0.148 0.000 0.528 0.324
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 4 0.4501 0.601337 0.024 0.212 0.000 0.764
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 3 0.2593 0.685063 0.016 0.080 0.904 0.000
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 3 0.7661 -0.149413 0.212 0.000 0.412 0.376
#> ED9794C0-AC60-4B54-8214-D26714871BBF 1 0.1209 0.776362 0.964 0.000 0.004 0.032
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 4 0.7101 0.432881 0.020 0.288 0.104 0.588
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 2 0.4454 0.856205 0.000 0.692 0.308 0.000
#> 18D816AF-394A-482F-B22E-896A43B1E481 2 0.2660 0.628452 0.036 0.908 0.056 0.000
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 4 0.3391 0.627345 0.148 0.004 0.004 0.844
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 3 0.2676 0.711633 0.000 0.012 0.896 0.092
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 3 0.4948 -0.343663 0.000 0.440 0.560 0.000
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 4 0.2111 0.672171 0.024 0.000 0.044 0.932
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 4 0.2473 0.659305 0.080 0.000 0.012 0.908
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 3 0.1042 0.724319 0.000 0.020 0.972 0.008
#> 7E809698-2473-4EFE-B896-1637983EC596 3 0.0376 0.726911 0.000 0.004 0.992 0.004
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 3 0.2799 0.720892 0.008 0.000 0.884 0.108
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 4 0.5352 0.203097 0.016 0.000 0.388 0.596
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 2 0.4720 0.848556 0.000 0.672 0.324 0.004
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 4 0.7119 0.355397 0.304 0.024 0.092 0.580
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.1271 0.773029 0.968 0.012 0.008 0.012
#> 73F28A79-7D35-4FE9-849D-FFE681483928 4 0.2002 0.673881 0.020 0.000 0.044 0.936
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 3 0.7410 0.379445 0.256 0.000 0.516 0.228
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 4 0.4663 0.504435 0.000 0.012 0.272 0.716
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 1 0.3088 0.719463 0.864 0.000 0.128 0.008
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.5993 0.851800 0.048 0.692 0.236 0.024
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.0779 0.769868 0.980 0.016 0.000 0.004
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 4 0.7221 0.512973 0.072 0.168 0.104 0.656
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 4 0.2797 0.666841 0.068 0.000 0.032 0.900
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 1 0.4868 0.575358 0.720 0.024 0.000 0.256
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.4631 0.626211 0.004 0.008 0.728 0.260
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.1211 0.764074 0.960 0.040 0.000 0.000
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.5696 0.843902 0.076 0.692 0.232 0.000
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 4 0.0817 0.664656 0.024 0.000 0.000 0.976
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.5962 0.812998 0.128 0.692 0.180 0.000
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 3 0.0188 0.725276 0.000 0.004 0.996 0.000
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 2 0.6826 0.000841 0.004 0.456 0.084 0.456
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 4 0.6190 0.444964 0.268 0.004 0.080 0.648
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 4 0.4037 0.658575 0.016 0.040 0.096 0.848
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.1059 0.772892 0.972 0.012 0.000 0.016
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 4 0.7065 0.468235 0.124 0.012 0.276 0.588
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.5827 0.458857 0.632 0.000 0.052 0.316
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.6534 0.514228 0.704 0.100 0.148 0.048
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.4776 0.376948 0.624 0.000 0.000 0.376
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.6171 0.833575 0.080 0.704 0.192 0.024
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 4 0.6489 0.556445 0.012 0.248 0.092 0.648
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 4 0.4779 0.648745 0.028 0.036 0.132 0.804
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 4 0.4219 0.671780 0.056 0.020 0.080 0.844
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.2820 0.773026 0.904 0.008 0.020 0.068
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 3 0.5318 0.455639 0.004 0.012 0.624 0.360
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 2 0.5549 0.823007 0.000 0.672 0.280 0.048
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 4 0.4761 0.587056 0.184 0.000 0.048 0.768
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 4 0.5334 0.414563 0.004 0.012 0.364 0.620
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 2 0.6208 0.736172 0.004 0.684 0.144 0.168
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 4 0.5159 0.260552 0.000 0.012 0.364 0.624
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.6523 0.557226 0.636 0.000 0.156 0.208
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 3 0.6469 0.500350 0.124 0.000 0.628 0.248
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 4 0.5314 0.546164 0.024 0.296 0.004 0.676
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 3 0.4967 -0.384044 0.000 0.452 0.548 0.000
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.4730 0.818136 0.000 0.636 0.364 0.000
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 3 0.4516 0.603538 0.000 0.012 0.736 0.252
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 2 0.5207 0.849076 0.000 0.680 0.292 0.028
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.6031 0.795901 0.144 0.688 0.168 0.000
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 4 0.4957 0.421395 0.000 0.012 0.320 0.668
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 4 0.6398 0.219584 0.000 0.080 0.344 0.576
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.2799 0.654134 0.008 0.108 0.884 0.000
#> CA356591-D24F-41A8-8C9A-1178C7781510 4 0.6413 0.409385 0.004 0.320 0.076 0.600
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 4 0.5314 0.544847 0.024 0.296 0.004 0.676
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.0817 0.774986 0.976 0.000 0.000 0.024
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 3 0.2672 0.73054 0.000 0.116 0.872 0.004 0.008
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.2535 0.71855 0.032 0.076 0.892 0.000 0.000
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#> 112F7032-0212-4939-9449-D67E3600CCD5 3 0.4256 -0.18640 0.000 0.436 0.564 0.000 0.000
#> A3B4DE21-DDF0-4468-A300-7BECBAFD0BCD 4 0.3366 0.40155 0.000 0.000 0.000 0.768 0.232
#> 0A03E593-6931-419C-AE47-51D75185C2C0 5 0.8138 0.32054 0.000 0.156 0.256 0.176 0.412
#> 2416A3DC-A563-4FD1-A139-0E6EF7185211 2 0.3508 0.79730 0.000 0.748 0.252 0.000 0.000
#> 18B29573-822C-405F-B793-DBC8924866CE 2 0.3690 0.80507 0.012 0.764 0.224 0.000 0.000
#> 994EC227-B239-4CEE-AC96-EB5CC0AF583E 4 0.3846 0.50833 0.056 0.144 0.000 0.800 0.000
#> 950933A3-5757-4914-9DC5-C220C2A455FD 3 0.5275 0.54266 0.000 0.216 0.684 0.008 0.092
#> DBDFE95C-F941-407A-BE7D-D43D50143C4D 2 0.3895 0.50799 0.320 0.680 0.000 0.000 0.000
#> D024393C-29D0-41C4-AB86-7E94581FDD26 4 0.6942 -0.10312 0.000 0.296 0.004 0.352 0.348
#> 4975AB35-93E5-400D-A429-CEA81BA89FFE 5 0.7013 0.21513 0.024 0.168 0.004 0.324 0.480
#> 666ADCA2-1AE4-4843-B1C8-8EE29C44AE74 5 0.8127 0.20798 0.088 0.184 0.012 0.312 0.404
#> A8F79C08-3943-4707-ADCB-890A955B5394 2 0.4350 0.61707 0.004 0.588 0.408 0.000 0.000
#> A81614ED-14CB-4EBC-988E-F67FBCBF62D8 1 0.4420 0.24932 0.548 0.004 0.000 0.448 0.000
#> E27E65C8-5B57-4C91-9D20-C075AEA2F2C5 3 0.2477 0.73214 0.092 0.008 0.892 0.008 0.000
#> 745F18CA-080D-42FE-BAA6-89AD7E3D3408 4 0.5548 0.12869 0.000 0.068 0.440 0.492 0.000
#> E755A625-799D-4A39-9D56-080228E0B669 2 0.5314 0.72338 0.192 0.672 0.136 0.000 0.000
#> 3D94EFB8-94D4-4FDE-97D8-18A159279996 3 0.4985 0.61228 0.016 0.124 0.740 0.120 0.000
#> 3D305C2E-6C86-4684-AA2A-155291AB4CC3 5 0.6465 0.23618 0.288 0.000 0.000 0.220 0.492
#> E140052A-5434-4C44-9873-0318D1D272CA 2 0.4182 0.72257 0.004 0.644 0.352 0.000 0.000
#> 68E56692-D46D-4A27-86CD-717E10AADDDA 5 0.7897 0.35835 0.000 0.260 0.120 0.176 0.444
#> 00A0586E-5F05-47B3-925C-87E811B0893B 4 0.5388 0.16111 0.000 0.016 0.044 0.616 0.324
#> E2B019A7-7C95-40FE-800C-D30E9730825C 4 0.6297 -0.10738 0.048 0.040 0.004 0.464 0.444
#> 1B9ABB69-5CC6-4B6B-ABBC-71CC3274C7F0 4 0.3081 0.52940 0.056 0.072 0.000 0.868 0.004
#> FAE396AA-3C3C-4AF9-953D-385C41B2DB5B 4 0.5968 0.14813 0.116 0.000 0.000 0.512 0.372
#> 6BE4397D-1E5B-4486-83B4-EE0EC146C805 2 0.3336 0.80296 0.000 0.772 0.228 0.000 0.000
#> EE38BD4E-5A08-4639-912F-04203F53762F 1 0.1768 0.83169 0.924 0.000 0.004 0.072 0.000
#> 4050E7F8-80B6-46F2-8FF0-D4EC313E975B 3 0.5354 0.39346 0.000 0.080 0.644 0.004 0.272
#> F3565161-FFBE-4138-9773-558DB386710C 1 0.1270 0.83606 0.948 0.000 0.000 0.052 0.000
#> BA9ABEB1-D3F0-4F09-A647-25211C47C3D0 2 0.3366 0.80407 0.004 0.784 0.212 0.000 0.000
#> 9E41E79A-4028-4F60-8250-411F191B665C 1 0.0510 0.84440 0.984 0.000 0.000 0.016 0.000
#> 5F1D3EFD-ECDA-4C92-8D81-491484F09C95 5 0.7794 0.37397 0.000 0.224 0.128 0.172 0.476
#> 0DBA04CB-417D-4E2B-BE83-3563F45291C4 4 0.4557 0.15024 0.440 0.004 0.004 0.552 0.000
#> B9B882A5-194B-4F5C-B702-0CF71CA6D9D2 2 0.1492 0.69848 0.008 0.948 0.040 0.004 0.000
#> 67FE7638-B8F5-4631-B178-AC23B0382983 4 0.6309 0.21102 0.236 0.000 0.000 0.532 0.232
#> FE03FC2C-9A4E-4F89-8681-E33DFECCC692 3 0.4535 0.61193 0.108 0.140 0.752 0.000 0.000
#> 2B22B4B7-8A39-435C-BE3B-86FA84C8F941 3 0.0510 0.75551 0.000 0.016 0.984 0.000 0.000
#> 00844B35-C108-4AEC-A687-4A91A2F33E6D 1 0.1544 0.82966 0.932 0.000 0.000 0.068 0.000
#> C221EE7A-6343-4B6D-B322-0A2C0F0B29AF 4 0.5168 -0.06182 0.452 0.000 0.000 0.508 0.040
#> B28A6D56-7654-4829-BF1F-657C3C2C10D8 4 0.2608 0.52121 0.088 0.004 0.000 0.888 0.020
#> F4C7BCEC-3CD4-4D9A-89EA-0ED58EA0DCFE 5 0.6354 -0.04609 0.216 0.000 0.000 0.264 0.520
#> F06FBFAB-D143-47AE-BEE7-51B48164764F 3 0.1282 0.75295 0.044 0.000 0.952 0.000 0.004
#> 525F522B-E865-4479-AE65-510903ABF46F 3 0.0510 0.75601 0.000 0.016 0.984 0.000 0.000
#> F0CB60E3-C412-46A2-918F-8C5C099AB224 5 0.4235 0.01440 0.000 0.000 0.000 0.424 0.576
#> 587F307F-6E1B-487E-8E47-A99AB43DC5B4 5 0.7421 0.32566 0.004 0.052 0.192 0.264 0.488
#> 883D9145-8414-4571-A3E1-516F03452C46 3 0.5318 0.41914 0.000 0.024 0.628 0.316 0.032
#> 4A917271-7EA0-4F43-B474-7F5EA756EB05 1 0.0000 0.84267 1.000 0.000 0.000 0.000 0.000
#> BB33015D-218C-4A1E-8839-95837D6E9B88 4 0.4763 0.31477 0.000 0.000 0.336 0.632 0.032
#> 021CC81F-710D-4EEA-B1D8-012A81715ACC 5 0.6674 0.24000 0.280 0.000 0.000 0.280 0.440
#> B00C4925-47E3-4442-ABEB-82D714A26587 5 0.4147 0.34204 0.008 0.000 0.000 0.316 0.676
#> F79B27D3-0426-47BB-9756-7E0759246E5E 2 0.3857 0.76659 0.000 0.688 0.312 0.000 0.000
#> 1F179559-D93E-491C-B499-64F86C31DAE0 4 0.4924 0.06303 0.000 0.028 0.000 0.552 0.420
#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 5 0.2471 0.39699 0.000 0.000 0.000 0.136 0.864
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 4 0.6815 0.14269 0.024 0.056 0.392 0.488 0.040
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 5 0.4273 0.08975 0.000 0.000 0.000 0.448 0.552
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 3 0.2533 0.71718 0.008 0.096 0.888 0.000 0.008
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 3 0.7208 0.25344 0.084 0.000 0.536 0.240 0.140
#> ED9794C0-AC60-4B54-8214-D26714871BBF 1 0.0404 0.84458 0.988 0.000 0.000 0.012 0.000
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 4 0.5815 0.34360 0.000 0.272 0.136 0.592 0.000
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 2 0.3534 0.79486 0.000 0.744 0.256 0.000 0.000
#> 18D816AF-394A-482F-B22E-896A43B1E481 2 0.3999 0.62922 0.000 0.740 0.020 0.000 0.240
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 4 0.6437 0.35797 0.080 0.080 0.004 0.636 0.200
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 3 0.3167 0.66756 0.000 0.172 0.820 0.004 0.004
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 3 0.4273 -0.27785 0.000 0.448 0.552 0.000 0.000
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 4 0.5416 -0.08289 0.000 0.028 0.016 0.488 0.468
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 4 0.1168 0.53063 0.000 0.032 0.000 0.960 0.008
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 3 0.1124 0.75268 0.000 0.036 0.960 0.000 0.004
#> 7E809698-2473-4EFE-B896-1637983EC596 3 0.0609 0.75556 0.000 0.020 0.980 0.000 0.000
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 3 0.4296 0.68700 0.000 0.080 0.804 0.088 0.028
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 5 0.6215 0.21808 0.000 0.004 0.124 0.392 0.480
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 2 0.3336 0.80306 0.000 0.772 0.228 0.000 0.000
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 4 0.7191 0.39321 0.112 0.172 0.152 0.564 0.000
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.0162 0.84358 0.996 0.000 0.000 0.004 0.000
#> 73F28A79-7D35-4FE9-849D-FFE681483928 4 0.3353 0.50418 0.000 0.020 0.024 0.852 0.104
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 5 0.8244 0.35887 0.176 0.008 0.300 0.120 0.396
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 5 0.7997 0.38101 0.000 0.212 0.196 0.144 0.448
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 1 0.3132 0.69131 0.820 0.000 0.172 0.008 0.000
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.2966 0.80303 0.000 0.816 0.184 0.000 0.000
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.0162 0.84358 0.996 0.000 0.000 0.004 0.000
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 5 0.7068 0.20907 0.036 0.092 0.020 0.372 0.480
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 4 0.4505 0.20018 0.008 0.004 0.004 0.656 0.328
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 1 0.3906 0.63533 0.744 0.000 0.000 0.240 0.016
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.5772 0.55440 0.000 0.092 0.692 0.056 0.160
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.0324 0.84385 0.992 0.000 0.000 0.004 0.004
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.4468 0.79427 0.044 0.716 0.240 0.000 0.000
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 4 0.2304 0.52693 0.000 0.044 0.000 0.908 0.048
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.4361 0.77995 0.108 0.768 0.124 0.000 0.000
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 3 0.0510 0.75699 0.000 0.016 0.984 0.000 0.000
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 2 0.4622 0.25779 0.000 0.696 0.028 0.268 0.008
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 4 0.5264 0.46216 0.048 0.052 0.152 0.740 0.008
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 4 0.8298 -0.03158 0.020 0.276 0.064 0.352 0.288
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.0162 0.84358 0.996 0.000 0.000 0.004 0.000
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 5 0.8998 0.22704 0.024 0.188 0.284 0.208 0.296
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 4 0.7267 0.16164 0.364 0.004 0.032 0.424 0.176
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.4653 0.59075 0.752 0.112 0.132 0.004 0.000
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 4 0.4564 0.25783 0.372 0.000 0.000 0.612 0.016
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.3336 0.78336 0.060 0.844 0.096 0.000 0.000
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 5 0.3047 0.41822 0.000 0.004 0.004 0.160 0.832
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 4 0.4618 0.17693 0.004 0.000 0.016 0.636 0.344
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 5 0.7150 0.19935 0.040 0.076 0.028 0.416 0.440
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.2068 0.81242 0.904 0.000 0.000 0.092 0.004
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 3 0.7453 0.11423 0.000 0.184 0.456 0.300 0.060
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 2 0.2020 0.73894 0.000 0.900 0.100 0.000 0.000
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 4 0.1393 0.52763 0.008 0.000 0.012 0.956 0.024
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 4 0.6695 0.30230 0.000 0.232 0.224 0.528 0.016
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 2 0.1483 0.66706 0.000 0.952 0.028 0.012 0.008
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 5 0.7900 0.40128 0.000 0.248 0.184 0.120 0.448
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 4 0.7032 0.15095 0.352 0.004 0.048 0.484 0.112
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 3 0.7241 0.01338 0.024 0.092 0.436 0.408 0.040
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 5 0.3662 0.24841 0.004 0.000 0.000 0.252 0.744
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 3 0.4297 -0.32553 0.000 0.472 0.528 0.000 0.000
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.3876 0.74837 0.000 0.684 0.316 0.000 0.000
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 3 0.5329 0.53432 0.000 0.220 0.672 0.104 0.004
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 2 0.2329 0.78923 0.000 0.876 0.124 0.000 0.000
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.4357 0.76407 0.128 0.768 0.104 0.000 0.000
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 5 0.7895 0.39207 0.000 0.264 0.168 0.124 0.444
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 5 0.7488 0.38942 0.000 0.332 0.148 0.076 0.444
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.2513 0.68535 0.008 0.116 0.876 0.000 0.000
#> CA356591-D24F-41A8-8C9A-1178C7781510 4 0.5605 0.26875 0.000 0.464 0.052 0.476 0.008
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 5 0.0290 0.46009 0.000 0.000 0.000 0.008 0.992
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.0290 0.84413 0.992 0.000 0.000 0.008 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 3 0.4344 0.40607 0.000 0.032 0.612 0.000 0.000 0.356
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.2178 0.71183 0.000 0.132 0.868 0.000 0.000 0.000
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 3 0.5443 0.58695 0.000 0.028 0.684 0.020 0.120 0.148
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.2456 0.77546 0.004 0.880 0.100 0.004 0.000 0.012
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 3 0.5986 0.48397 0.000 0.040 0.620 0.020 0.212 0.108
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 3 0.7092 0.45146 0.128 0.228 0.536 0.060 0.040 0.008
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 6 0.6800 0.36844 0.000 0.040 0.172 0.020 0.284 0.484
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 6 0.3989 0.42240 0.008 0.000 0.252 0.000 0.024 0.716
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.2520 0.77976 0.000 0.844 0.152 0.004 0.000 0.000
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.3144 0.76976 0.000 0.808 0.172 0.004 0.000 0.016
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 3 0.3176 0.69583 0.000 0.156 0.812 0.032 0.000 0.000
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 5 0.3128 0.51914 0.000 0.004 0.032 0.012 0.848 0.104
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.5558 0.55755 0.644 0.120 0.204 0.024 0.004 0.004
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.3692 0.74489 0.000 0.736 0.244 0.008 0.000 0.012
#> ECB2DF14-CF68-44D4-8719-973AE448B992 4 0.6053 -0.03587 0.000 0.000 0.000 0.412 0.280 0.308
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 6 0.3037 0.46745 0.000 0.176 0.000 0.000 0.016 0.808
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 5 0.3934 0.37401 0.000 0.000 0.000 0.260 0.708 0.032
#> 3282F146-2782-4877-9EFE-6020AC277A8C 6 0.2017 0.52000 0.000 0.004 0.048 0.020 0.008 0.920
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 4 0.1444 0.83932 0.000 0.000 0.000 0.928 0.000 0.072
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 3 0.5402 0.45169 0.000 0.012 0.592 0.036 0.324 0.036
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 3 0.1910 0.71615 0.000 0.108 0.892 0.000 0.000 0.000
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 3 0.5906 0.34868 0.000 0.028 0.576 0.000 0.212 0.184
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.3275 0.77271 0.000 0.820 0.140 0.032 0.000 0.008
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 5 0.4343 0.50352 0.000 0.008 0.204 0.024 0.736 0.028
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 4 0.1564 0.85851 0.000 0.000 0.000 0.936 0.040 0.024
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 3 0.1262 0.73830 0.000 0.020 0.956 0.000 0.008 0.016
#> C945DDA9-0194-46F4-89E2-13883284D5A4 6 0.5242 0.29222 0.000 0.000 0.176 0.000 0.216 0.608
#> 79B11925-9772-474F-A729-D00315959710 1 0.1500 0.81743 0.936 0.052 0.000 0.000 0.012 0.000
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#> 4975AB35-93E5-400D-A429-CEA81BA89FFE 5 0.4836 0.31638 0.024 0.004 0.012 0.020 0.668 0.272
#> 666ADCA2-1AE4-4843-B1C8-8EE29C44AE74 5 0.6713 -0.07966 0.132 0.008 0.028 0.016 0.428 0.388
#> A8F79C08-3943-4707-ADCB-890A955B5394 2 0.4521 0.55083 0.000 0.568 0.400 0.028 0.004 0.000
#> A81614ED-14CB-4EBC-988E-F67FBCBF62D8 1 0.5722 0.53114 0.636 0.012 0.000 0.028 0.132 0.192
#> E27E65C8-5B57-4C91-9D20-C075AEA2F2C5 3 0.2939 0.71896 0.100 0.032 0.856 0.000 0.012 0.000
#> 745F18CA-080D-42FE-BAA6-89AD7E3D3408 3 0.5044 0.28789 0.000 0.024 0.576 0.000 0.040 0.360
#> E755A625-799D-4A39-9D56-080228E0B669 2 0.4753 0.65229 0.148 0.716 0.120 0.012 0.000 0.004
#> 3D94EFB8-94D4-4FDE-97D8-18A159279996 3 0.5556 0.60174 0.000 0.184 0.664 0.040 0.012 0.100
#> 3D305C2E-6C86-4684-AA2A-155291AB4CC3 5 0.6390 0.23285 0.296 0.004 0.000 0.132 0.516 0.052
#> E140052A-5434-4C44-9873-0318D1D272CA 2 0.3653 0.69840 0.000 0.692 0.300 0.008 0.000 0.000
#> 68E56692-D46D-4A27-86CD-717E10AADDDA 6 0.4175 0.46128 0.000 0.000 0.028 0.016 0.240 0.716
#> 00A0586E-5F05-47B3-925C-87E811B0893B 5 0.0964 0.57261 0.000 0.004 0.016 0.000 0.968 0.012
#> E2B019A7-7C95-40FE-800C-D30E9730825C 5 0.3931 0.49138 0.044 0.000 0.004 0.028 0.796 0.128
#> 1B9ABB69-5CC6-4B6B-ABBC-71CC3274C7F0 5 0.5209 0.42812 0.088 0.004 0.000 0.000 0.548 0.360
#> FAE396AA-3C3C-4AF9-953D-385C41B2DB5B 6 0.7151 -0.03207 0.324 0.000 0.000 0.212 0.092 0.372
#> 6BE4397D-1E5B-4486-83B4-EE0EC146C805 2 0.3308 0.77342 0.000 0.832 0.120 0.032 0.004 0.012
#> EE38BD4E-5A08-4639-912F-04203F53762F 1 0.1655 0.81562 0.936 0.004 0.000 0.004 0.044 0.012
#> 4050E7F8-80B6-46F2-8FF0-D4EC313E975B 3 0.4824 0.56127 0.000 0.008 0.708 0.012 0.180 0.092
#> F3565161-FFBE-4138-9773-558DB386710C 1 0.0146 0.82841 0.996 0.000 0.000 0.000 0.004 0.000
#> BA9ABEB1-D3F0-4F09-A647-25211C47C3D0 2 0.2822 0.77427 0.000 0.852 0.124 0.004 0.004 0.016
#> 9E41E79A-4028-4F60-8250-411F191B665C 1 0.0000 0.82834 1.000 0.000 0.000 0.000 0.000 0.000
#> 5F1D3EFD-ECDA-4C92-8D81-491484F09C95 5 0.4830 -0.05051 0.000 0.000 0.024 0.020 0.540 0.416
#> 0DBA04CB-417D-4E2B-BE83-3563F45291C4 1 0.7382 0.06419 0.428 0.072 0.000 0.028 0.288 0.184
#> B9B882A5-194B-4F5C-B702-0CF71CA6D9D2 2 0.4841 0.64348 0.004 0.696 0.084 0.004 0.008 0.204
#> 67FE7638-B8F5-4631-B178-AC23B0382983 5 0.4552 0.54889 0.160 0.000 0.000 0.052 0.740 0.048
#> FE03FC2C-9A4E-4F89-8681-E33DFECCC692 3 0.4467 0.53171 0.028 0.332 0.632 0.004 0.000 0.004
#> 2B22B4B7-8A39-435C-BE3B-86FA84C8F941 3 0.2106 0.73326 0.000 0.064 0.904 0.032 0.000 0.000
#> 00844B35-C108-4AEC-A687-4A91A2F33E6D 1 0.0508 0.82857 0.984 0.000 0.000 0.004 0.012 0.000
#> C221EE7A-6343-4B6D-B322-0A2C0F0B29AF 5 0.3850 0.50095 0.260 0.000 0.000 0.020 0.716 0.004
#> B28A6D56-7654-4829-BF1F-657C3C2C10D8 5 0.5188 0.52656 0.072 0.004 0.000 0.024 0.648 0.252
#> F4C7BCEC-3CD4-4D9A-89EA-0ED58EA0DCFE 4 0.1890 0.79726 0.060 0.000 0.000 0.916 0.000 0.024
#> F06FBFAB-D143-47AE-BEE7-51B48164764F 3 0.1769 0.73867 0.012 0.060 0.924 0.004 0.000 0.000
#> 525F522B-E865-4479-AE65-510903ABF46F 3 0.1010 0.73520 0.000 0.036 0.960 0.000 0.004 0.000
#> F0CB60E3-C412-46A2-918F-8C5C099AB224 4 0.3634 0.54347 0.000 0.000 0.000 0.696 0.008 0.296
#> 587F307F-6E1B-487E-8E47-A99AB43DC5B4 5 0.5676 0.14087 0.000 0.012 0.080 0.020 0.572 0.316
#> 883D9145-8414-4571-A3E1-516F03452C46 5 0.4315 0.11355 0.000 0.004 0.488 0.000 0.496 0.012
#> 4A917271-7EA0-4F43-B474-7F5EA756EB05 1 0.0146 0.82809 0.996 0.004 0.000 0.000 0.000 0.000
#> BB33015D-218C-4A1E-8839-95837D6E9B88 5 0.5643 0.37528 0.000 0.012 0.296 0.000 0.556 0.136
#> 021CC81F-710D-4EEA-B1D8-012A81715ACC 5 0.6930 -0.00319 0.304 0.024 0.000 0.020 0.404 0.248
#> B00C4925-47E3-4442-ABEB-82D714A26587 5 0.5574 0.22444 0.008 0.004 0.000 0.312 0.560 0.116
#> F79B27D3-0426-47BB-9756-7E0759246E5E 2 0.3351 0.71724 0.000 0.712 0.288 0.000 0.000 0.000
#> 1F179559-D93E-491C-B499-64F86C31DAE0 5 0.1779 0.55219 0.000 0.000 0.000 0.016 0.920 0.064
#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 4 0.1657 0.85007 0.000 0.000 0.000 0.928 0.016 0.056
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 5 0.4940 0.45273 0.004 0.008 0.268 0.024 0.664 0.032
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 5 0.3529 0.45862 0.000 0.000 0.000 0.208 0.764 0.028
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 3 0.3419 0.68548 0.000 0.152 0.804 0.040 0.004 0.000
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 3 0.6827 0.48297 0.056 0.056 0.604 0.032 0.060 0.192
#> ED9794C0-AC60-4B54-8214-D26714871BBF 1 0.0000 0.82834 1.000 0.000 0.000 0.000 0.000 0.000
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 6 0.7209 0.23999 0.000 0.252 0.172 0.000 0.144 0.432
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 2 0.2531 0.77730 0.000 0.860 0.128 0.004 0.000 0.008
#> 18D816AF-394A-482F-B22E-896A43B1E481 2 0.3665 0.62154 0.000 0.760 0.012 0.212 0.000 0.016
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 5 0.6443 0.24529 0.120 0.008 0.004 0.032 0.424 0.412
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 3 0.3274 0.62061 0.000 0.004 0.780 0.004 0.004 0.208
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 3 0.3864 -0.25147 0.000 0.480 0.520 0.000 0.000 0.000
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 5 0.2809 0.52560 0.000 0.012 0.008 0.020 0.872 0.088
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 5 0.3835 0.51439 0.000 0.004 0.004 0.000 0.656 0.336
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 3 0.1605 0.73394 0.000 0.044 0.936 0.016 0.004 0.000
#> 7E809698-2473-4EFE-B896-1637983EC596 3 0.2106 0.73193 0.000 0.064 0.904 0.032 0.000 0.000
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 3 0.3424 0.67794 0.000 0.008 0.816 0.000 0.128 0.048
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 5 0.3517 0.50416 0.000 0.004 0.060 0.020 0.832 0.084
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 2 0.4569 0.75450 0.000 0.700 0.200 0.000 0.004 0.096
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 6 0.7924 0.11483 0.132 0.004 0.200 0.032 0.220 0.412
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.0000 0.82834 1.000 0.000 0.000 0.000 0.000 0.000
#> 73F28A79-7D35-4FE9-849D-FFE681483928 5 0.3985 0.57789 0.000 0.008 0.040 0.000 0.744 0.208
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 5 0.7903 -0.01061 0.232 0.032 0.292 0.020 0.368 0.056
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 6 0.4598 0.45408 0.000 0.004 0.040 0.020 0.240 0.696
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 1 0.3415 0.66454 0.800 0.004 0.168 0.024 0.004 0.000
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.3381 0.77023 0.000 0.808 0.148 0.004 0.000 0.040
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.0146 0.82809 0.996 0.004 0.000 0.000 0.000 0.000
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 5 0.4398 0.48764 0.044 0.036 0.016 0.020 0.800 0.084
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 5 0.0603 0.57139 0.000 0.004 0.000 0.000 0.980 0.016
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 1 0.4505 0.66383 0.724 0.016 0.000 0.028 0.020 0.212
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.5297 0.64561 0.000 0.068 0.724 0.028 0.100 0.080
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.0146 0.82775 0.996 0.000 0.000 0.004 0.000 0.000
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.2845 0.77015 0.000 0.836 0.148 0.008 0.000 0.008
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 5 0.3371 0.54531 0.000 0.000 0.000 0.000 0.708 0.292
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.1936 0.72593 0.028 0.928 0.028 0.008 0.000 0.008
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 3 0.1232 0.73658 0.000 0.016 0.956 0.024 0.004 0.000
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 6 0.4149 0.38117 0.000 0.248 0.016 0.000 0.024 0.712
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 6 0.7514 -0.14177 0.068 0.004 0.164 0.032 0.348 0.384
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 6 0.2451 0.51418 0.000 0.004 0.004 0.008 0.108 0.876
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.0000 0.82834 1.000 0.000 0.000 0.000 0.000 0.000
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.6494 0.03011 0.000 0.000 0.412 0.044 0.160 0.384
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 5 0.5838 0.47512 0.228 0.072 0.016 0.024 0.640 0.020
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.4973 0.57759 0.656 0.260 0.064 0.016 0.000 0.004
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 5 0.5434 0.29919 0.396 0.000 0.000 0.024 0.516 0.064
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.2468 0.73984 0.004 0.896 0.068 0.004 0.008 0.020
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 4 0.4728 0.49230 0.000 0.000 0.004 0.604 0.340 0.052
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 5 0.0653 0.56981 0.000 0.004 0.004 0.000 0.980 0.012
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 5 0.6189 0.37958 0.044 0.060 0.064 0.020 0.668 0.144
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.2145 0.79642 0.900 0.000 0.000 0.028 0.072 0.000
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 3 0.5249 0.08103 0.000 0.004 0.464 0.004 0.068 0.460
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 2 0.5007 0.67450 0.000 0.680 0.136 0.008 0.004 0.172
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 5 0.3937 0.53896 0.004 0.008 0.008 0.000 0.700 0.280
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 6 0.2457 0.50065 0.000 0.000 0.084 0.000 0.036 0.880
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 6 0.4413 -0.21895 0.000 0.488 0.008 0.000 0.012 0.492
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 6 0.4619 0.45321 0.000 0.008 0.032 0.020 0.248 0.692
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 5 0.4046 0.53037 0.208 0.008 0.012 0.024 0.748 0.000
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 5 0.5498 0.38908 0.004 0.004 0.296 0.020 0.600 0.076
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 4 0.1584 0.84543 0.000 0.000 0.000 0.928 0.008 0.064
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.4499 0.33527 0.000 0.540 0.428 0.032 0.000 0.000
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.4283 0.70063 0.000 0.680 0.280 0.032 0.008 0.000
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 3 0.4238 0.23014 0.000 0.000 0.540 0.000 0.016 0.444
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 2 0.3958 0.73974 0.000 0.792 0.112 0.008 0.008 0.080
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.2567 0.71526 0.028 0.896 0.036 0.036 0.000 0.004
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 6 0.4406 0.45631 0.004 0.008 0.016 0.020 0.240 0.712
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 6 0.4296 0.46145 0.000 0.024 0.016 0.008 0.232 0.720
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.3642 0.66365 0.000 0.204 0.760 0.036 0.000 0.000
#> CA356591-D24F-41A8-8C9A-1178C7781510 6 0.1700 0.50266 0.000 0.080 0.000 0.000 0.004 0.916
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 4 0.1564 0.85851 0.000 0.000 0.000 0.936 0.040 0.024
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.0146 0.82809 0.996 0.004 0.000 0.000 0.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["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 17888 rows and 430 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'CV' method.
#> Subgroups are detected by 'mclust' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.412 0.751 0.874 0.4326 0.552 0.552
#> 3 3 0.367 0.512 0.782 0.4240 0.714 0.523
#> 4 4 0.462 0.612 0.782 0.0470 0.780 0.556
#> 5 5 0.533 0.526 0.757 0.1296 0.784 0.508
#> 6 6 0.547 0.513 0.698 0.0536 0.805 0.409
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
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 2 0.0376 0.8821 0.004 0.996
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 2 0.1633 0.8725 0.024 0.976
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 2 0.3274 0.8443 0.060 0.940
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.7528 0.7008 0.216 0.784
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 2 0.0376 0.8821 0.004 0.996
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 2 0.9661 0.2786 0.392 0.608
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 2 0.3584 0.8356 0.068 0.932
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 2 0.1414 0.8748 0.020 0.980
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.7528 0.7008 0.216 0.784
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.7528 0.7008 0.216 0.784
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.2423 0.8619 0.040 0.960
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 2 0.0000 0.8817 0.000 1.000
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.0000 0.7530 1.000 0.000
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.7453 0.7051 0.212 0.788
#> ECB2DF14-CF68-44D4-8719-973AE448B992 1 0.7453 0.8237 0.788 0.212
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 2 0.0376 0.8821 0.004 0.996
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 1 0.8861 0.7450 0.696 0.304
#> 3282F146-2782-4877-9EFE-6020AC277A8C 2 0.0376 0.8821 0.004 0.996
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 1 0.7453 0.8237 0.788 0.212
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 2 0.1184 0.8771 0.016 0.984
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.7376 0.7094 0.208 0.792
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 2 0.0000 0.8817 0.000 1.000
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.7528 0.7008 0.216 0.784
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 2 0.5408 0.7702 0.124 0.876
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 1 0.7453 0.8237 0.788 0.212
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 2 0.0000 0.8817 0.000 1.000
#> C945DDA9-0194-46F4-89E2-13883284D5A4 2 0.0000 0.8817 0.000 1.000
#> 79B11925-9772-474F-A729-D00315959710 1 0.0000 0.7530 1.000 0.000
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 2 0.0376 0.8821 0.004 0.996
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 2 0.7528 0.6257 0.216 0.784
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 1 0.7453 0.8237 0.788 0.212
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.7453 0.8237 0.788 0.212
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.0376 0.8821 0.004 0.996
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 2 0.1184 0.8772 0.016 0.984
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 2 0.0000 0.8817 0.000 1.000
#> 26796E5F-C0C2-466C-9012-882F6D29C149 2 0.0000 0.8817 0.000 1.000
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 0.7602 0.8187 0.780 0.220
#> 1492D21A-6458-4B49-B530-7A327FCDD031 1 0.7453 0.8237 0.788 0.212
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 1 0.7453 0.8237 0.788 0.212
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 2 0.0376 0.8821 0.004 0.996
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.0000 0.7530 1.000 0.000
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 1 0.7453 0.8237 0.788 0.212
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.8813 0.6110 0.300 0.700
#> E846120D-D9E6-46F8-9647-2272AB064072 1 0.7453 0.8237 0.788 0.212
#> 36880C8C-91A9-49A9-A2D5-957161737F31 1 0.8713 0.5050 0.708 0.292
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.9775 0.3931 0.412 0.588
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 2 0.7453 0.7051 0.212 0.788
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 1 0.7453 0.8237 0.788 0.212
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 2 0.6887 0.6827 0.184 0.816
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 2 0.7453 0.7051 0.212 0.788
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 2 0.0376 0.8811 0.004 0.996
#> 116F3F29-AB89-4F00-9003-559041E285EB 2 0.0000 0.8817 0.000 1.000
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.7883 0.6862 0.236 0.764
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 2 0.9933 -0.1617 0.452 0.548
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 2 0.0376 0.8821 0.004 0.996
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 1 0.7453 0.8237 0.788 0.212
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 1 0.0000 0.7530 1.000 0.000
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 2 0.8499 0.4654 0.276 0.724
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 2 0.0000 0.8817 0.000 1.000
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.0000 0.7530 1.000 0.000
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 2 0.0000 0.8817 0.000 1.000
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 1 0.9815 0.1806 0.580 0.420
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 2 0.6438 0.7097 0.164 0.836
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 2 0.3274 0.8445 0.060 0.940
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 2 0.1843 0.8702 0.028 0.972
#> CD576099-5450-4232-9B59-08341BED8FFA 2 0.0376 0.8821 0.004 0.996
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 2 0.8267 0.5157 0.260 0.740
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 1 0.0000 0.7530 1.000 0.000
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 1 0.3733 0.7822 0.928 0.072
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 2 0.0376 0.8821 0.004 0.996
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 2 0.9933 -0.1800 0.452 0.548
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 2 0.2778 0.8553 0.048 0.952
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 1 0.7453 0.8237 0.788 0.212
#> 57E380FC-B6AB-466F-9936-D52192888008 1 0.3274 0.7766 0.940 0.060
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 2 0.0376 0.8811 0.004 0.996
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 1 0.0000 0.7530 1.000 0.000
#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 2 1.0000 -0.3376 0.496 0.504
#> 1D4F0B66-720D-484D-B8D5-2B290ED208A8 2 0.0376 0.8821 0.004 0.996
#> C886CA33-5080-4E3E-88A2-F9A3CF03A857 2 0.0672 0.8809 0.008 0.992
#> 9AC963E4-F82D-460E-9CAD-C651B879780A 2 0.0672 0.8812 0.008 0.992
#> 1B6CF403-D0AE-4FFE-A884-660A58F32660 2 0.0000 0.8817 0.000 1.000
#> B33316E1-11FD-4C10-956A-C9C6F78508C5 1 0.7453 0.8237 0.788 0.212
#> BB02EF6A-C57D-4A79-99C1-ED43A72FFAF7 2 0.5178 0.8005 0.116 0.884
#> 4DBA59AD-9393-4BE6-88CB-852C62C4A334 2 0.0000 0.8817 0.000 1.000
#> 7887EDC4-A0D7-4E57-B3A1-330A5683457D 1 0.7453 0.8237 0.788 0.212
#> 2CD3AC14-46FB-4260-AE5C-4305C68D49BC 2 0.3733 0.8296 0.072 0.928
#> BAB8FA79-208A-488D-B955-806263E5D6BB 2 0.0000 0.8817 0.000 1.000
#> 98C990E7-7E3B-4200-A88D-E641931302EA 1 0.0000 0.7530 1.000 0.000
#> 894EE382-5ACA-4DEB-9267-99ADBEF6DA19 2 0.0000 0.8817 0.000 1.000
#> 98795F95-D26D-438A-AF46-B3BC3553F020 2 0.9983 -0.2725 0.476 0.524
#> 9AD4C328-1554-4C92-931C-30CE8F305FDE 1 0.0000 0.7530 1.000 0.000
#> 4D1518D9-D968-4E7F-A702-5157A1A2E83E 1 0.0000 0.7530 1.000 0.000
#> A6E8AF8C-5D7B-4197-990B-786A869ACB96 1 0.9580 0.6105 0.620 0.380
#> DF8B4E19-8C78-4A68-8FAE-DFF01076BC97 2 0.0376 0.8821 0.004 0.996
#> 8D2C608F-3280-4CA2-B996-9AE3DBDBBD28 2 0.0000 0.8817 0.000 1.000
#> E7BCBD8D-1219-4A99-948A-47A258A5CD8B 2 0.0376 0.8821 0.004 0.996
#> 2C9633A5-8ACB-4D16-8120-F098BA14BB04 2 0.4298 0.8249 0.088 0.912
#> 985D9304-E4DA-4038-B235-067CBFEAC902 2 0.7528 0.7008 0.216 0.784
#> D34CE243-6F4F-4158-9FC4-77E1640E8A91 2 0.7528 0.7008 0.216 0.784
#> 65131575-48D3-42C2-B411-3DB871EF5EE1 2 0.0938 0.8793 0.012 0.988
#> 1AE13DFA-670C-43EE-9898-8FA831AEDDB3 2 0.0376 0.8821 0.004 0.996
#> 3ACDCD29-1B8D-455D-9EE9-D6C903B16D09 1 0.7453 0.8237 0.788 0.212
#> C6FBC35B-0113-4F00-BE1A-831D2C551055 2 0.8267 0.5284 0.260 0.740
#> A8F3285D-A85E-4E73-9D20-9D14AA51916B 2 0.0000 0.8817 0.000 1.000
#> 51601A73-2D75-4056-AEBB-8FF8DB813450 2 0.0000 0.8817 0.000 1.000
#> 75021778-A96B-4F57-8C26-68E8F33D7EB7 2 0.4690 0.7975 0.100 0.900
#> 71FFB439-22A1-4EBB-AEA6-A6BCA8CA6648 2 0.1633 0.8709 0.024 0.976
#> BEDB0135-0A26-44EF-9028-C4907403B110 2 0.0000 0.8817 0.000 1.000
#> 3B8BA56B-0E7B-4754-8729-8D613D0484E1 1 0.0000 0.7530 1.000 0.000
#> 100BF963-6103-45E6-A760-E44649580CF5 1 0.8713 0.7537 0.708 0.292
#> C26F21EA-5911-483F-BF64-03904BF93A20 2 0.9933 -0.1923 0.452 0.548
#> 9E50162D-8149-41D2-86C1-1C892EB98DFA 2 0.4562 0.8094 0.096 0.904
#> 09521B29-B002-4AAD-93F1-6E600DD31515 2 0.7528 0.7008 0.216 0.784
#> 45FD44A6-7976-4453-BD3F-99D21DA3ECC2 1 0.7453 0.8237 0.788 0.212
#> 9EE0976F-1422-4F65-8837-93A192984CDF 2 0.0000 0.8817 0.000 1.000
#> 2FBAA1AA-39F7-4C58-A7DA-76B1F4B26B2E 1 0.9850 0.1524 0.572 0.428
#> B7A695A4-0B74-41E9-8662-4010C8CA38F0 1 0.7453 0.8237 0.788 0.212
#> E9013476-D037-41EA-921E-E9E62E93B75C 2 0.0938 0.8774 0.012 0.988
#> 13FD88E9-3B06-4CB6-949F-395DDDE4B75B 2 0.0000 0.8817 0.000 1.000
#> 9103E60E-D1FC-4F0F-B2CD-751921E14EBA 1 0.9996 0.3861 0.512 0.488
#> 4AEFB9F1-A55D-472E-A963-5BB3364D9D8C 2 0.4562 0.8182 0.096 0.904
#> 05B80211-2230-436E-BA34-FD48337A5DE0 2 0.7602 0.7000 0.220 0.780
#> 6B206166-85BC-4A1A-BDD2-B249652FC09E 1 0.7453 0.8237 0.788 0.212
#> 3EA60F08-5232-4A97-A656-2A0A2F5CED07 2 0.0376 0.8821 0.004 0.996
#> 9C55C086-682B-4D21-9C77-085CFE45A07E 2 0.1184 0.8772 0.016 0.984
#> B0CE5521-96E9-4087-89EE-309D785C0F96 2 0.0376 0.8821 0.004 0.996
#> 6BF76FE6-F1DA-48F2-B55D-CB106905EA8F 2 0.0376 0.8821 0.004 0.996
#> D2ECDADA-9D0D-4044-8C61-353CCE45C0E6 2 1.0000 -0.3376 0.496 0.504
#> 9565D04D-EC61-4EF8-8519-0D84CFB0C794 2 0.7528 0.7008 0.216 0.784
#> EBAFE057-B387-4D2B-8D91-25C83221816D 1 0.9661 0.4620 0.608 0.392
#> 2CDB897D-ABAF-4EBB-837C-05CC7691D20E 1 0.7453 0.8237 0.788 0.212
#> FD2F4E8A-F89C-4016-B275-13FC6B4121E9 2 0.0376 0.8821 0.004 0.996
#> 1E27DDFF-D487-4CBF-80BC-506CC7C7C74D 2 0.0376 0.8821 0.004 0.996
#> 1DD990EF-74A8-4503-B801-C01D6C171E2E 1 0.8955 0.4670 0.688 0.312
#> 4D2DF3FF-343A-4D29-9230-015131B45BD2 2 0.0376 0.8821 0.004 0.996
#> B9949248-D762-4591-B8D6-C296C2B28D8C 2 0.0376 0.8821 0.004 0.996
#> 2D839843-4C8D-400D-8EFF-2BF9B94A27AA 2 0.0376 0.8821 0.004 0.996
#> 78C429CC-D631-43EA-9049-DAC326C98BDD 2 0.0376 0.8821 0.004 0.996
#> 71241674-DF93-4CA0-A81D-AF85B6479F62 2 0.3114 0.8468 0.056 0.944
#> 76277FC9-E447-49A4-9407-81917C90ECBD 1 0.7453 0.8237 0.788 0.212
#> 79DE0216-2CBB-4057-AC90-0366A494F106 1 0.7453 0.8237 0.788 0.212
#> 3B842084-AE30-4666-B80A-8FA36EF628F3 2 0.0000 0.8817 0.000 1.000
#> 57200367-96F1-48B9-AB7F-DC11EFE866C4 2 0.0376 0.8821 0.004 0.996
#> 219B7654-6065-41D3-964B-C829364CD87B 2 0.0376 0.8821 0.004 0.996
#> 26923D9B-CE8E-400E-93CD-E0EE1401CB9D 2 0.9833 -0.0752 0.424 0.576
#> 21B783EB-B0D0-4B28-9468-D0B130D13E26 2 0.0000 0.8817 0.000 1.000
#> 67D465A4-8068-4325-ABC5-5917B7D726BB 2 0.7528 0.7008 0.216 0.784
#> 30A8ABA0-ECB4-4B44-9630-5FFF862A157F 2 0.7528 0.7008 0.216 0.784
#> 71040F61-834D-4A75-960D-5DABBCADD3A0 1 0.0000 0.7530 1.000 0.000
#> A4EC5E62-AF75-435A-903F-D35B171CEA2C 2 0.7528 0.7008 0.216 0.784
#> 2F6A0808-8F01-4721-938D-F1FC7C5D8357 2 0.6712 0.6847 0.176 0.824
#> F1A142BF-9737-442D-B9A1-AA03958916D8 2 0.0376 0.8821 0.004 0.996
#> 2DC1CF96-6822-412A-B002-3DC1239D17A7 2 0.0376 0.8821 0.004 0.996
#> 9C57AC2A-83C8-41EB-8DC3-9A897D8F8110 2 0.1843 0.8700 0.028 0.972
#> D22198BE-2B03-4A06-9EB6-696B67E8CEFB 2 0.0000 0.8817 0.000 1.000
#> 68BACBAD-DC56-4ADF-BB44-86750A866657 1 0.4161 0.7347 0.916 0.084
#> 7DFBA494-6746-4FF7-9948-FC9BA297F499 2 0.3879 0.8346 0.076 0.924
#> 00B39945-A227-46EB-B737-27D12370FE6A 2 0.0376 0.8821 0.004 0.996
#> 6FA15950-94D4-4D46-A0E5-45D899089443 2 0.0000 0.8817 0.000 1.000
#> DE451B99-D33B-4A35-BB0E-AAED631B56C3 2 0.0376 0.8821 0.004 0.996
#> 1DE68F26-5F22-4B90-A0F4-4775865D5E35 1 0.7453 0.8237 0.788 0.212
#> 7E84698B-0394-4498-A8D4-F3F96F49E669 1 0.8713 0.5117 0.708 0.292
#> D29F2335-9151-406E-8C3A-58AA99B7EB69 1 0.9998 0.3746 0.508 0.492
#> 92CEB4B5-0400-45DD-9DEE-E988CB4BB76D 2 0.0376 0.8821 0.004 0.996
#> 1848D6A6-9725-46BA-A953-CE76F6CC7684 2 0.0376 0.8821 0.004 0.996
#> F0B60FEF-0246-412D-8E1D-50E4A5F7790A 2 0.0672 0.8790 0.008 0.992
#> 763F284D-B99A-4646-A84C-5EFB15C07376 2 0.6887 0.6827 0.184 0.816
#> 994BE7F6-D486-4E45-9C4F-7AA200B04AED 2 0.3584 0.8361 0.068 0.932
#> 54C0AB23-0161-4346-AF6D-466B68B5AB79 1 0.8713 0.7463 0.708 0.292
#> 7A48C8F9-C13C-42AA-B7D2-C7618C6F81AA 2 0.7528 0.7008 0.216 0.784
#> 54C21CDF-5B83-4F88-8B00-6458A171BCE8 1 0.7453 0.8237 0.788 0.212
#> 063AEE90-0DBB-4B0F-A7F3-DE0600DEA9AD 2 0.3584 0.8364 0.068 0.932
#> 54B452B4-B06A-433F-A627-B2D2AFE048FE 1 0.8955 0.7271 0.688 0.312
#> 876D3927-036E-4BF9-AA43-DC1CAF39F6AA 2 0.2778 0.8563 0.048 0.952
#> 9CBEB375-516F-45EE-9A66-6EAB4E9DBD65 2 0.0000 0.8817 0.000 1.000
#> 039BECB9-7CEB-4057-9825-B3601C9CFC6B 2 0.0376 0.8821 0.004 0.996
#> 2CCA6EB5-C215-41A9-BCD6-6A77813D319C 2 0.0376 0.8821 0.004 0.996
#> 2CCA5192-4A24-4502-99DE-EC03B553A03D 2 0.0938 0.8774 0.012 0.988
#> 0D24351E-EBD6-4BD1-9A88-24DE07339221 2 0.0000 0.8817 0.000 1.000
#> 6F1E493F-EB93-4661-BD3D-51C934E8AAD2 2 0.0672 0.8811 0.008 0.992
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#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 2 0.1184 0.8768 0.016 0.984
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 2 0.7528 0.7008 0.216 0.784
#> 18D816AF-394A-482F-B22E-896A43B1E481 1 0.9286 0.4919 0.656 0.344
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 2 0.2948 0.8501 0.052 0.948
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 2 0.0000 0.8817 0.000 1.000
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 2 0.0376 0.8821 0.004 0.996
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 2 0.0672 0.8790 0.008 0.992
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 2 0.4298 0.8164 0.088 0.912
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 2 0.0376 0.8821 0.004 0.996
#> 7E809698-2473-4EFE-B896-1637983EC596 2 0.0376 0.8821 0.004 0.996
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 2 0.0000 0.8817 0.000 1.000
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 2 0.0376 0.8808 0.004 0.996
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 2 0.7528 0.7008 0.216 0.784
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.7528 0.8209 0.784 0.216
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.0000 0.7530 1.000 0.000
#> 73F28A79-7D35-4FE9-849D-FFE681483928 2 0.7139 0.6553 0.196 0.804
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 1 0.8327 0.7824 0.736 0.264
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 2 0.0000 0.8817 0.000 1.000
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 1 0.7453 0.8237 0.788 0.212
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.7528 0.7008 0.216 0.784
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.0000 0.7530 1.000 0.000
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 1 0.8661 0.7567 0.712 0.288
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 1 0.7453 0.8237 0.788 0.212
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 1 0.7453 0.8237 0.788 0.212
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 2 0.0000 0.8817 0.000 1.000
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.0000 0.7530 1.000 0.000
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.7528 0.7008 0.216 0.784
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 2 0.9635 0.0873 0.388 0.612
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 1 0.9998 -0.1058 0.508 0.492
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 2 0.0376 0.8821 0.004 0.996
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 2 0.0376 0.8821 0.004 0.996
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 2 0.8016 0.5568 0.244 0.756
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 2 0.0376 0.8821 0.004 0.996
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.0000 0.7530 1.000 0.000
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 2 0.5519 0.7584 0.128 0.872
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.7453 0.8237 0.788 0.212
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.0376 0.7529 0.996 0.004
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.7453 0.8237 0.788 0.212
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.7528 0.7008 0.216 0.784
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 1 0.7528 0.8213 0.784 0.216
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.7453 0.8237 0.788 0.212
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 1 0.9248 0.6937 0.660 0.340
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.0000 0.7530 1.000 0.000
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 2 0.9580 0.1257 0.380 0.620
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 2 0.0376 0.8821 0.004 0.996
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 1 1.0000 0.3387 0.500 0.500
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 2 0.0376 0.8821 0.004 0.996
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 2 0.0376 0.8821 0.004 0.996
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 2 0.0000 0.8817 0.000 1.000
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.7453 0.8237 0.788 0.212
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 2 0.9044 0.3617 0.320 0.680
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 1 0.7453 0.8237 0.788 0.212
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.3431 0.8441 0.064 0.936
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.0376 0.8821 0.004 0.996
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 2 0.0000 0.8817 0.000 1.000
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 2 0.0376 0.8821 0.004 0.996
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 1 0.8713 0.5050 0.708 0.292
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 2 0.0376 0.8821 0.004 0.996
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 2 0.0672 0.8811 0.008 0.992
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 2 0.0376 0.8821 0.004 0.996
#> CA356591-D24F-41A8-8C9A-1178C7781510 2 0.0376 0.8821 0.004 0.996
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 1 0.7528 0.8213 0.784 0.216
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.0000 0.7530 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 2 0.6291 0.22702 0.000 0.532 0.468
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.7895 -0.05462 0.056 0.436 0.508
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 3 0.2063 0.70364 0.008 0.044 0.948
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.0592 0.68826 0.000 0.988 0.012
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 3 0.1031 0.70419 0.000 0.024 0.976
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 1 0.4172 0.73388 0.840 0.004 0.156
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 3 0.3618 0.68238 0.012 0.104 0.884
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 3 0.1163 0.70379 0.000 0.028 0.972
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.0592 0.68900 0.000 0.988 0.012
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.0424 0.68825 0.000 0.992 0.008
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.9578 0.21743 0.248 0.480 0.272
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.1860 0.70059 0.000 0.052 0.948
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.0747 0.75597 0.984 0.000 0.016
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.0424 0.68825 0.000 0.992 0.008
#> ECB2DF14-CF68-44D4-8719-973AE448B992 1 0.5443 0.61395 0.736 0.004 0.260
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 3 0.5988 0.25429 0.000 0.368 0.632
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 1 0.6180 0.44124 0.584 0.000 0.416
#> 3282F146-2782-4877-9EFE-6020AC277A8C 2 0.6305 0.18521 0.000 0.516 0.484
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 1 0.5618 0.61293 0.732 0.008 0.260
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 3 0.0237 0.70340 0.000 0.004 0.996
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.0424 0.68825 0.000 0.992 0.008
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 3 0.6295 -0.06704 0.000 0.472 0.528
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.0424 0.68825 0.000 0.992 0.008
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 3 0.5058 0.38127 0.244 0.000 0.756
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 1 0.5618 0.61293 0.732 0.008 0.260
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 3 0.5178 0.52103 0.000 0.256 0.744
#> C945DDA9-0194-46F4-89E2-13883284D5A4 3 0.5465 0.47789 0.000 0.288 0.712
#> 79B11925-9772-474F-A729-D00315959710 1 0.4452 0.71256 0.808 0.000 0.192
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 2 0.5760 0.47102 0.000 0.672 0.328
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 3 0.5216 0.34638 0.260 0.000 0.740
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 1 0.5618 0.61293 0.732 0.008 0.260
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.2173 0.75950 0.944 0.008 0.048
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.6302 0.20282 0.000 0.520 0.480
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 3 0.3784 0.59131 0.132 0.004 0.864
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.0424 0.70410 0.000 0.008 0.992
#> 26796E5F-C0C2-466C-9012-882F6D29C149 3 0.4931 0.55911 0.000 0.232 0.768
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 0.6307 0.37435 0.512 0.000 0.488
#> 1492D21A-6458-4B49-B530-7A327FCDD031 3 0.6235 -0.10703 0.436 0.000 0.564
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 1 0.2173 0.75950 0.944 0.008 0.048
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 3 0.3551 0.65194 0.000 0.132 0.868
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.1860 0.76302 0.948 0.000 0.052
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 1 0.5618 0.61293 0.732 0.008 0.260
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.5551 0.45062 0.212 0.768 0.020
#> E846120D-D9E6-46F8-9647-2272AB064072 1 0.3038 0.75313 0.896 0.000 0.104
#> 36880C8C-91A9-49A9-A2D5-957161737F31 1 0.6126 0.41967 0.600 0.400 0.000
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.5024 0.43749 0.220 0.776 0.004
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 2 0.6188 0.56858 0.040 0.744 0.216
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 1 0.6140 0.48536 0.596 0.000 0.404
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 3 0.0237 0.70243 0.004 0.000 0.996
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 2 0.8371 0.44135 0.212 0.624 0.164
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 3 0.3192 0.66688 0.000 0.112 0.888
#> 116F3F29-AB89-4F00-9003-559041E285EB 3 0.6291 -0.05537 0.000 0.468 0.532
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.5331 0.50410 0.184 0.792 0.024
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 3 0.5058 0.39517 0.244 0.000 0.756
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 2 0.6280 0.24438 0.000 0.540 0.460
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 1 0.5722 0.57154 0.704 0.004 0.292
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 1 0.0892 0.75769 0.980 0.000 0.020
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 3 0.9282 0.18477 0.368 0.164 0.468
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 3 0.6308 -0.12817 0.000 0.492 0.508
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.0892 0.75769 0.980 0.000 0.020
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 3 0.4796 0.57525 0.000 0.220 0.780
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.6359 0.00412 0.404 0.592 0.004
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 3 0.0661 0.70452 0.004 0.008 0.988
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 3 0.4346 0.50362 0.184 0.000 0.816
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 3 0.4475 0.64344 0.016 0.144 0.840
#> CD576099-5450-4232-9B59-08341BED8FFA 2 0.6308 0.16539 0.000 0.508 0.492
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 3 0.6922 0.51918 0.080 0.200 0.720
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 1 0.0983 0.75604 0.980 0.004 0.016
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 1 0.2625 0.75757 0.916 0.000 0.084
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 2 0.8543 0.24165 0.096 0.496 0.408
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 3 0.2537 0.69162 0.080 0.000 0.920
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 3 0.1315 0.70557 0.008 0.020 0.972
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 1 0.4796 0.69088 0.780 0.000 0.220
#> 57E380FC-B6AB-466F-9936-D52192888008 1 0.0592 0.75562 0.988 0.000 0.012
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 3 0.3267 0.66549 0.000 0.116 0.884
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 1 0.5926 0.55486 0.644 0.000 0.356
#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 1 0.7517 0.27104 0.588 0.048 0.364
#> 1D4F0B66-720D-484D-B8D5-2B290ED208A8 3 0.5327 0.48178 0.000 0.272 0.728
#> C886CA33-5080-4E3E-88A2-F9A3CF03A857 3 0.0000 0.70249 0.000 0.000 1.000
#> 9AC963E4-F82D-460E-9CAD-C651B879780A 2 0.1753 0.68213 0.000 0.952 0.048
#> 1B6CF403-D0AE-4FFE-A884-660A58F32660 3 0.6291 -0.04557 0.000 0.468 0.532
#> B33316E1-11FD-4C10-956A-C9C6F78508C5 1 0.3551 0.75397 0.868 0.000 0.132
#> BB02EF6A-C57D-4A79-99C1-ED43A72FFAF7 2 0.0424 0.68825 0.000 0.992 0.008
#> 4DBA59AD-9393-4BE6-88CB-852C62C4A334 3 0.4555 0.59208 0.000 0.200 0.800
#> 7887EDC4-A0D7-4E57-B3A1-330A5683457D 1 0.2173 0.75950 0.944 0.008 0.048
#> 2CD3AC14-46FB-4260-AE5C-4305C68D49BC 3 0.1031 0.70413 0.000 0.024 0.976
#> BAB8FA79-208A-488D-B955-806263E5D6BB 3 0.6154 0.18818 0.000 0.408 0.592
#> 98C990E7-7E3B-4200-A88D-E641931302EA 1 0.0892 0.75769 0.980 0.000 0.020
#> 894EE382-5ACA-4DEB-9267-99ADBEF6DA19 3 0.5650 0.41944 0.000 0.312 0.688
#> 98795F95-D26D-438A-AF46-B3BC3553F020 3 0.3619 0.60313 0.136 0.000 0.864
#> 9AD4C328-1554-4C92-931C-30CE8F305FDE 1 0.0592 0.75413 0.988 0.000 0.012
#> 4D1518D9-D968-4E7F-A702-5157A1A2E83E 1 0.0892 0.75769 0.980 0.000 0.020
#> A6E8AF8C-5D7B-4197-990B-786A869ACB96 1 0.6299 0.35519 0.524 0.000 0.476
#> DF8B4E19-8C78-4A68-8FAE-DFF01076BC97 2 0.6309 0.16867 0.000 0.504 0.496
#> 8D2C608F-3280-4CA2-B996-9AE3DBDBBD28 3 0.6286 -0.03554 0.000 0.464 0.536
#> E7BCBD8D-1219-4A99-948A-47A258A5CD8B 3 0.6308 -0.12700 0.000 0.492 0.508
#> 2C9633A5-8ACB-4D16-8120-F098BA14BB04 2 0.0747 0.68900 0.000 0.984 0.016
#> 985D9304-E4DA-4038-B235-067CBFEAC902 2 0.1482 0.68203 0.012 0.968 0.020
#> D34CE243-6F4F-4158-9FC4-77E1640E8A91 2 0.1129 0.68545 0.004 0.976 0.020
#> 65131575-48D3-42C2-B411-3DB871EF5EE1 3 0.1031 0.70413 0.000 0.024 0.976
#> 1AE13DFA-670C-43EE-9898-8FA831AEDDB3 3 0.4291 0.63047 0.000 0.180 0.820
#> 3ACDCD29-1B8D-455D-9EE9-D6C903B16D09 1 0.5502 0.62822 0.744 0.008 0.248
#> C6FBC35B-0113-4F00-BE1A-831D2C551055 3 0.4291 0.51015 0.180 0.000 0.820
#> A8F3285D-A85E-4E73-9D20-9D14AA51916B 3 0.4974 0.53463 0.000 0.236 0.764
#> 51601A73-2D75-4056-AEBB-8FF8DB813450 3 0.0237 0.70340 0.000 0.004 0.996
#> 75021778-A96B-4F57-8C26-68E8F33D7EB7 3 0.1453 0.70553 0.008 0.024 0.968
#> 71FFB439-22A1-4EBB-AEA6-A6BCA8CA6648 3 0.0000 0.70249 0.000 0.000 1.000
#> BEDB0135-0A26-44EF-9028-C4907403B110 3 0.5016 0.55146 0.000 0.240 0.760
#> 3B8BA56B-0E7B-4754-8729-8D613D0484E1 1 0.0892 0.75769 0.980 0.000 0.020
#> 100BF963-6103-45E6-A760-E44649580CF5 3 0.6057 0.23504 0.340 0.004 0.656
#> C26F21EA-5911-483F-BF64-03904BF93A20 3 0.7534 0.28803 0.368 0.048 0.584
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#> 30312D82-4966-4EAA-A067-F91852FA8663 1 0.5656 0.58109 0.712 0.284 0.004
#> ECC62CBA-16AB-45F0-9C5A-72F302B4A188 3 0.6099 0.53239 0.032 0.228 0.740
#> 5AF4899F-D8E1-4CB6-B3DC-F0C60C808838 2 0.6302 0.19893 0.000 0.520 0.480
#> BBCEA0D1-DE66-4C0C-8D3C-D1398D04B472 2 0.0424 0.68825 0.000 0.992 0.008
#> 154764CD-AC69-4F48-A212-8B27C076C91A 3 0.1031 0.70388 0.000 0.024 0.976
#> 33266777-E07B-49D0-9E24-2EDE2577CF16 1 0.5178 0.66376 0.744 0.000 0.256
#> 7DAE9720-3922-4680-9F95-75C029B7FDA9 2 0.6008 0.37661 0.000 0.628 0.372
#> 1BC2ECED-0425-4382-BB94-F57ED2687F18 3 0.6204 -0.15965 0.424 0.000 0.576
#> 0901D931-77BE-47B0-AE5F-C26C6A144CA0 1 0.5216 0.66545 0.740 0.000 0.260
#> 77AFFD5F-F715-4242-95C9-5F36E061B3E2 1 0.2173 0.75950 0.944 0.008 0.048
#> FAB4A6D6-E978-4172-9FE1-79FC50C0F849 3 0.3267 0.68236 0.000 0.116 0.884
#> 32C4DF54-39DD-4F62-B938-82ED2A0E0FFD 3 0.4887 0.41351 0.228 0.000 0.772
#> 9911D83E-6DDF-4048-9A34-22BFA1D68BBD 3 0.1711 0.70479 0.008 0.032 0.960
#> 4BAC0A03-BB88-4D19-86F9-FF093330C9B3 3 0.3192 0.65610 0.112 0.000 0.888
#> 18F63ADA-1828-43DD-AE1F-F36706C204CD 3 0.6307 -0.11281 0.000 0.488 0.512
#> 66729295-C0AA-42C7-92C9-05194EF02276 3 0.3879 0.64179 0.000 0.152 0.848
#> 4CCA3104-B557-403D-AC06-A6D4936DDC04 3 0.5988 0.27206 0.000 0.368 0.632
#> 77D4165E-7CB1-4D69-AFE5-C8D914531651 2 0.5016 0.56154 0.000 0.760 0.240
#> BA12A05A-622A-424D-8108-3F5916405EB0 3 0.0000 0.70249 0.000 0.000 1.000
#> DED4EA4D-9DC2-4419-83EC-2BFE75DC1830 2 0.0592 0.68900 0.000 0.988 0.012
#> 13A35364-57C5-4F5A-B077-3BA2689BFDD3 3 0.0661 0.70452 0.004 0.008 0.988
#> 2641B816-1D21-496E-85AD-1C690C9146A6 3 0.0892 0.70542 0.000 0.020 0.980
#> 96E2AD09-7287-4B91-840E-81444A61D56F 2 0.6291 0.22771 0.000 0.532 0.468
#> 62F3327F-FB16-4AD0-BCF5-B180F28281A9 3 0.4068 0.66406 0.016 0.120 0.864
#> 112F7032-0212-4939-9449-D67E3600CCD5 2 0.2682 0.67086 0.004 0.920 0.076
#> A3B4DE21-DDF0-4468-A300-7BECBAFD0BCD 1 0.6095 0.52790 0.608 0.000 0.392
#> 0A03E593-6931-419C-AE47-51D75185C2C0 3 0.3551 0.65522 0.000 0.132 0.868
#> 2416A3DC-A563-4FD1-A139-0E6EF7185211 2 0.0592 0.68900 0.000 0.988 0.012
#> 18B29573-822C-405F-B793-DBC8924866CE 2 0.0424 0.68825 0.000 0.992 0.008
#> 994EC227-B239-4CEE-AC96-EB5CC0AF583E 3 0.5760 0.21241 0.328 0.000 0.672
#> 950933A3-5757-4914-9DC5-C220C2A455FD 3 0.3879 0.63642 0.000 0.152 0.848
#> DBDFE95C-F941-407A-BE7D-D43D50143C4D 1 0.6111 0.42611 0.604 0.396 0.000
#> D024393C-29D0-41C4-AB86-7E94581FDD26 3 0.6267 0.04514 0.000 0.452 0.548
#> 4975AB35-93E5-400D-A429-CEA81BA89FFE 3 0.3879 0.56048 0.152 0.000 0.848
#> 666ADCA2-1AE4-4843-B1C8-8EE29C44AE74 1 0.6274 0.40636 0.544 0.000 0.456
#> A8F79C08-3943-4707-ADCB-890A955B5394 2 0.0592 0.68900 0.000 0.988 0.012
#> A81614ED-14CB-4EBC-988E-F67FBCBF62D8 1 0.3686 0.69525 0.860 0.140 0.000
#> E27E65C8-5B57-4C91-9D20-C075AEA2F2C5 1 0.5650 0.62338 0.688 0.000 0.312
#> 745F18CA-080D-42FE-BAA6-89AD7E3D3408 3 0.6819 -0.09486 0.012 0.476 0.512
#> E755A625-799D-4A39-9D56-080228E0B669 1 0.5178 0.61418 0.744 0.256 0.000
#> 3D94EFB8-94D4-4FDE-97D8-18A159279996 3 0.6295 -0.08235 0.000 0.472 0.528
#> 3D305C2E-6C86-4684-AA2A-155291AB4CC3 1 0.2625 0.76201 0.916 0.000 0.084
#> E140052A-5434-4C44-9873-0318D1D272CA 2 0.1411 0.68215 0.000 0.964 0.036
#> 68E56692-D46D-4A27-86CD-717E10AADDDA 3 0.4452 0.61731 0.000 0.192 0.808
#> 00A0586E-5F05-47B3-925C-87E811B0893B 3 0.0424 0.70410 0.000 0.008 0.992
#> E2B019A7-7C95-40FE-800C-D30E9730825C 1 0.5431 0.66337 0.716 0.000 0.284
#> 1B9ABB69-5CC6-4B6B-ABBC-71CC3274C7F0 3 0.4974 0.39585 0.236 0.000 0.764
#> FAE396AA-3C3C-4AF9-953D-385C41B2DB5B 1 0.2400 0.76185 0.932 0.004 0.064
#> 6BE4397D-1E5B-4486-83B4-EE0EC146C805 2 0.4136 0.58742 0.116 0.864 0.020
#> EE38BD4E-5A08-4639-912F-04203F53762F 1 0.0892 0.75769 0.980 0.000 0.020
#> 4050E7F8-80B6-46F2-8FF0-D4EC313E975B 3 0.0892 0.70425 0.000 0.020 0.980
#> F3565161-FFBE-4138-9773-558DB386710C 1 0.6111 0.49768 0.604 0.000 0.396
#> BA9ABEB1-D3F0-4F09-A647-25211C47C3D0 2 0.0424 0.68825 0.000 0.992 0.008
#> 9E41E79A-4028-4F60-8250-411F191B665C 1 0.0892 0.75769 0.980 0.000 0.020
#> 5F1D3EFD-ECDA-4C92-8D81-491484F09C95 3 0.0848 0.70496 0.008 0.008 0.984
#> 0DBA04CB-417D-4E2B-BE83-3563F45291C4 1 0.2261 0.76044 0.932 0.000 0.068
#> B9B882A5-194B-4F5C-B702-0CF71CA6D9D2 3 0.6305 -0.12321 0.000 0.484 0.516
#> 67FE7638-B8F5-4631-B178-AC23B0382983 1 0.3686 0.75193 0.860 0.000 0.140
#> FE03FC2C-9A4E-4F89-8681-E33DFECCC692 1 0.6805 0.57419 0.688 0.268 0.044
#> 2B22B4B7-8A39-435C-BE3B-86FA84C8F941 2 0.6286 0.23555 0.000 0.536 0.464
#> 00844B35-C108-4AEC-A687-4A91A2F33E6D 1 0.5706 0.59819 0.680 0.000 0.320
#> C221EE7A-6343-4B6D-B322-0A2C0F0B29AF 1 0.5926 0.55541 0.644 0.000 0.356
#> B28A6D56-7654-4829-BF1F-657C3C2C10D8 1 0.6305 0.37998 0.516 0.000 0.484
#> F4C7BCEC-3CD4-4D9A-89EA-0ED58EA0DCFE 1 0.1950 0.75862 0.952 0.008 0.040
#> F06FBFAB-D143-47AE-BEE7-51B48164764F 3 0.9213 0.34441 0.236 0.228 0.536
#> 525F522B-E865-4479-AE65-510903ABF46F 2 0.6309 0.15340 0.000 0.504 0.496
#> F0CB60E3-C412-46A2-918F-8C5C099AB224 1 0.6434 0.36597 0.612 0.008 0.380
#> 587F307F-6E1B-487E-8E47-A99AB43DC5B4 3 0.0000 0.70249 0.000 0.000 1.000
#> 883D9145-8414-4571-A3E1-516F03452C46 3 0.2625 0.68373 0.000 0.084 0.916
#> 4A917271-7EA0-4F43-B474-7F5EA756EB05 1 0.0892 0.75769 0.980 0.000 0.020
#> BB33015D-218C-4A1E-8839-95837D6E9B88 3 0.0747 0.69996 0.016 0.000 0.984
#> 021CC81F-710D-4EEA-B1D8-012A81715ACC 1 0.6291 0.40569 0.532 0.000 0.468
#> B00C4925-47E3-4442-ABEB-82D714A26587 1 0.5618 0.61293 0.732 0.008 0.260
#> F79B27D3-0426-47BB-9756-7E0759246E5E 2 0.0592 0.68900 0.000 0.988 0.012
#> 1F179559-D93E-491C-B499-64F86C31DAE0 3 0.6396 0.40247 0.320 0.016 0.664
#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 1 0.5618 0.61293 0.732 0.008 0.260
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 3 0.5216 0.34638 0.260 0.000 0.740
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 1 0.4796 0.71822 0.780 0.000 0.220
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 1 0.7069 0.38024 0.568 0.408 0.024
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 3 0.5254 0.33691 0.264 0.000 0.736
#> ED9794C0-AC60-4B54-8214-D26714871BBF 1 0.0892 0.75769 0.980 0.000 0.020
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 3 0.4539 0.64511 0.016 0.148 0.836
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 2 0.0892 0.68656 0.000 0.980 0.020
#> 18D816AF-394A-482F-B22E-896A43B1E481 1 0.6140 0.41799 0.596 0.404 0.000
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 3 0.3500 0.61874 0.116 0.004 0.880
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 3 0.5529 0.46601 0.000 0.296 0.704
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 2 0.3038 0.65955 0.000 0.896 0.104
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 3 0.0424 0.70410 0.000 0.008 0.992
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 3 0.0892 0.70433 0.000 0.020 0.980
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 3 0.6305 -0.08931 0.000 0.484 0.516
#> 7E809698-2473-4EFE-B896-1637983EC596 2 0.6495 0.23704 0.004 0.536 0.460
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 3 0.3412 0.67052 0.000 0.124 0.876
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 3 0.1170 0.70535 0.008 0.016 0.976
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 2 0.1129 0.68754 0.004 0.976 0.020
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.6180 0.46196 0.584 0.000 0.416
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.0892 0.75769 0.980 0.000 0.020
#> 73F28A79-7D35-4FE9-849D-FFE681483928 3 0.0892 0.70433 0.000 0.020 0.980
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 3 0.6308 -0.26008 0.492 0.000 0.508
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 3 0.3116 0.67094 0.000 0.108 0.892
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 1 0.2711 0.75685 0.912 0.000 0.088
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.0592 0.68826 0.000 0.988 0.012
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.0892 0.75769 0.980 0.000 0.020
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 3 0.5254 0.33937 0.264 0.000 0.736
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 1 0.6295 0.40711 0.528 0.000 0.472
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 1 0.6215 0.43415 0.572 0.000 0.428
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.5327 0.50956 0.000 0.272 0.728
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.0892 0.75769 0.980 0.000 0.020
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.1129 0.68545 0.004 0.976 0.020
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 3 0.2625 0.68843 0.084 0.000 0.916
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.6521 -0.22302 0.492 0.504 0.004
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 2 0.6291 0.22702 0.000 0.532 0.468
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 2 0.5810 0.45819 0.000 0.664 0.336
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 3 0.5315 0.46141 0.216 0.012 0.772
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 3 0.6299 -0.04908 0.000 0.476 0.524
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.0892 0.75769 0.980 0.000 0.020
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.0892 0.70165 0.020 0.000 0.980
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.6291 0.40726 0.532 0.000 0.468
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.1411 0.75909 0.964 0.000 0.036
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.6168 0.48493 0.588 0.000 0.412
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.0892 0.68819 0.000 0.980 0.020
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 1 0.5618 0.61293 0.732 0.008 0.260
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.3686 0.75189 0.860 0.000 0.140
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 3 0.5397 0.33719 0.280 0.000 0.720
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.0892 0.75769 0.980 0.000 0.020
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 3 0.2625 0.68893 0.084 0.000 0.916
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 2 0.6291 0.22702 0.000 0.532 0.468
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 3 0.4121 0.56816 0.168 0.000 0.832
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 3 0.6045 0.26652 0.000 0.380 0.620
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 3 0.6309 -0.15647 0.000 0.500 0.500
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 3 0.4002 0.63293 0.000 0.160 0.840
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.5621 0.61102 0.692 0.000 0.308
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 3 0.5291 0.34075 0.268 0.000 0.732
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 1 0.5618 0.61293 0.732 0.008 0.260
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.0424 0.68825 0.000 0.992 0.008
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.6192 0.30804 0.000 0.580 0.420
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 3 0.5988 0.29932 0.000 0.368 0.632
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 2 0.6286 0.23555 0.000 0.536 0.464
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 1 0.5988 0.47092 0.632 0.368 0.000
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 3 0.3879 0.63538 0.000 0.152 0.848
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 3 0.3686 0.64628 0.000 0.140 0.860
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.6260 -0.02319 0.000 0.448 0.552
#> CA356591-D24F-41A8-8C9A-1178C7781510 3 0.6225 0.10574 0.000 0.432 0.568
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 1 0.5618 0.61293 0.732 0.008 0.260
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.2066 0.76226 0.940 0.000 0.060
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 3 0.2565 0.73883 0.000 0.056 0.912 0.032
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.4800 0.70690 0.116 0.052 0.808 0.024
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 3 0.1486 0.75192 0.008 0.024 0.960 0.008
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.0336 0.72899 0.000 0.992 0.008 0.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 3 0.2546 0.76121 0.000 0.008 0.900 0.092
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 1 0.5571 0.46354 0.716 0.008 0.056 0.220
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 3 0.1509 0.75240 0.008 0.012 0.960 0.020
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 3 0.0672 0.75284 0.000 0.008 0.984 0.008
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.2124 0.72052 0.000 0.932 0.040 0.028
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.0188 0.72871 0.000 0.996 0.004 0.000
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 3 0.8175 0.25732 0.036 0.392 0.424 0.148
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.4086 0.71817 0.000 0.008 0.776 0.216
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.0000 0.74747 1.000 0.000 0.000 0.000
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.3172 0.66724 0.000 0.840 0.160 0.000
#> ECB2DF14-CF68-44D4-8719-973AE448B992 1 0.7889 -0.17523 0.364 0.000 0.288 0.348
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 3 0.2402 0.75437 0.000 0.012 0.912 0.076
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 3 0.7884 0.01519 0.356 0.000 0.360 0.284
#> 3282F146-2782-4877-9EFE-6020AC277A8C 3 0.2483 0.73955 0.000 0.052 0.916 0.032
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 4 0.3842 0.74976 0.128 0.000 0.036 0.836
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 3 0.4828 0.70306 0.008 0.008 0.716 0.268
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.2589 0.69506 0.000 0.884 0.116 0.000
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 3 0.4724 0.75631 0.000 0.076 0.788 0.136
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.0188 0.72871 0.000 0.996 0.004 0.000
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 3 0.5220 0.63363 0.016 0.000 0.632 0.352
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#> 525F522B-E865-4479-AE65-510903ABF46F 3 0.2214 0.74179 0.000 0.044 0.928 0.028
#> F0CB60E3-C412-46A2-918F-8C5C099AB224 4 0.5484 0.62952 0.132 0.000 0.132 0.736
#> 587F307F-6E1B-487E-8E47-A99AB43DC5B4 3 0.5624 0.67955 0.052 0.000 0.668 0.280
#> 883D9145-8414-4571-A3E1-516F03452C46 3 0.4903 0.72406 0.000 0.028 0.724 0.248
#> 4A917271-7EA0-4F43-B474-7F5EA756EB05 1 0.0000 0.74747 1.000 0.000 0.000 0.000
#> BB33015D-218C-4A1E-8839-95837D6E9B88 3 0.7134 0.49627 0.156 0.000 0.532 0.312
#> 021CC81F-710D-4EEA-B1D8-012A81715ACC 1 0.4011 0.59991 0.784 0.000 0.008 0.208
#> B00C4925-47E3-4442-ABEB-82D714A26587 4 0.2814 0.77884 0.132 0.000 0.000 0.868
#> F79B27D3-0426-47BB-9756-7E0759246E5E 2 0.4122 0.62777 0.000 0.760 0.236 0.004
#> 1F179559-D93E-491C-B499-64F86C31DAE0 3 0.6656 0.58764 0.136 0.000 0.608 0.256
#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 4 0.2760 0.78057 0.128 0.000 0.000 0.872
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 3 0.5220 0.63356 0.016 0.000 0.632 0.352
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 1 0.7469 -0.04214 0.488 0.000 0.200 0.312
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 2 0.5542 0.49488 0.328 0.644 0.012 0.016
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 3 0.7811 0.20045 0.260 0.000 0.404 0.336
#> ED9794C0-AC60-4B54-8214-D26714871BBF 1 0.0000 0.74747 1.000 0.000 0.000 0.000
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 3 0.2021 0.75512 0.000 0.024 0.936 0.040
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 2 0.0336 0.72899 0.000 0.992 0.008 0.000
#> 18D816AF-394A-482F-B22E-896A43B1E481 2 0.5701 0.47599 0.340 0.628 0.012 0.020
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 3 0.5471 0.69302 0.048 0.000 0.684 0.268
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 3 0.2882 0.76058 0.000 0.024 0.892 0.084
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 3 0.4867 0.58100 0.000 0.232 0.736 0.032
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 3 0.4539 0.68357 0.000 0.008 0.720 0.272
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 3 0.4475 0.70603 0.004 0.008 0.748 0.240
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 3 0.1724 0.74373 0.000 0.020 0.948 0.032
#> 7E809698-2473-4EFE-B896-1637983EC596 3 0.2918 0.72888 0.000 0.116 0.876 0.008
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 3 0.3494 0.74478 0.000 0.004 0.824 0.172
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 3 0.4508 0.68779 0.004 0.008 0.744 0.244
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 2 0.4163 0.65022 0.000 0.792 0.188 0.020
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.2125 0.71690 0.920 0.000 0.004 0.076
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.0000 0.74747 1.000 0.000 0.000 0.000
#> 73F28A79-7D35-4FE9-849D-FFE681483928 3 0.4718 0.66349 0.004 0.008 0.716 0.272
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 1 0.6273 0.24907 0.636 0.000 0.100 0.264
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 3 0.3074 0.75760 0.000 0.000 0.848 0.152
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 1 0.0188 0.74680 0.996 0.000 0.000 0.004
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.0336 0.72899 0.000 0.992 0.008 0.000
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.0000 0.74747 1.000 0.000 0.000 0.000
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 3 0.7904 0.07139 0.300 0.000 0.360 0.340
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 1 0.4795 0.46105 0.696 0.000 0.012 0.292
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 1 0.5254 0.38817 0.672 0.000 0.028 0.300
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.2775 0.75812 0.000 0.020 0.896 0.084
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.0000 0.74747 1.000 0.000 0.000 0.000
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.0376 0.72863 0.004 0.992 0.004 0.000
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 3 0.4989 0.74050 0.056 0.020 0.792 0.132
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.4730 0.47081 0.364 0.636 0.000 0.000
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 3 0.1833 0.74225 0.000 0.024 0.944 0.032
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 3 0.3015 0.73476 0.000 0.092 0.884 0.024
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 3 0.7360 0.49358 0.192 0.004 0.544 0.260
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 3 0.2224 0.74606 0.000 0.040 0.928 0.032
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.0000 0.74747 1.000 0.000 0.000 0.000
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.5690 0.67513 0.040 0.016 0.700 0.244
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.2329 0.71150 0.916 0.000 0.012 0.072
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.0000 0.74747 1.000 0.000 0.000 0.000
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.2021 0.72332 0.932 0.000 0.012 0.056
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.2124 0.71828 0.000 0.924 0.068 0.008
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 4 0.6896 0.27212 0.140 0.000 0.292 0.568
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.3539 0.59897 0.820 0.000 0.004 0.176
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 3 0.5837 0.62747 0.048 0.008 0.668 0.276
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.0000 0.74747 1.000 0.000 0.000 0.000
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 3 0.5356 0.72845 0.060 0.020 0.764 0.156
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 3 0.2483 0.73955 0.000 0.052 0.916 0.032
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 3 0.7992 0.28419 0.260 0.008 0.444 0.288
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 3 0.1042 0.75333 0.000 0.020 0.972 0.008
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 3 0.2483 0.74589 0.000 0.052 0.916 0.032
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 3 0.1824 0.75579 0.000 0.004 0.936 0.060
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.1389 0.73519 0.952 0.000 0.000 0.048
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 3 0.8036 0.14545 0.296 0.004 0.384 0.316
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 4 0.2760 0.78057 0.128 0.000 0.000 0.872
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.4193 0.56377 0.000 0.732 0.268 0.000
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 3 0.5311 0.46435 0.000 0.328 0.648 0.024
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 3 0.1624 0.74547 0.000 0.020 0.952 0.028
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.2928 0.73140 0.000 0.108 0.880 0.012
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.4761 0.45610 0.372 0.628 0.000 0.000
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 3 0.2081 0.75333 0.000 0.000 0.916 0.084
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 3 0.2466 0.75145 0.004 0.000 0.900 0.096
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.4508 0.76340 0.012 0.060 0.820 0.108
#> CA356591-D24F-41A8-8C9A-1178C7781510 3 0.1510 0.74587 0.000 0.016 0.956 0.028
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 4 0.2944 0.77876 0.128 0.000 0.004 0.868
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.0000 0.74747 1.000 0.000 0.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 4 0.0162 0.69294 0.000 0.004 0.000 0.996 0.000
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 4 0.6370 0.40830 0.044 0.068 0.312 0.572 0.004
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 4 0.3505 0.68267 0.004 0.056 0.056 0.860 0.024
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.1341 0.78140 0.000 0.944 0.000 0.056 0.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 4 0.3675 0.59698 0.000 0.008 0.216 0.772 0.004
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 1 0.5167 0.57304 0.564 0.004 0.396 0.036 0.000
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 4 0.2689 0.68915 0.004 0.040 0.056 0.896 0.004
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 4 0.2866 0.67871 0.000 0.024 0.100 0.872 0.004
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.3214 0.76095 0.000 0.844 0.036 0.120 0.000
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.1341 0.78140 0.000 0.944 0.000 0.056 0.000
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 3 0.6068 0.03103 0.020 0.440 0.472 0.068 0.000
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 4 0.4451 -0.19183 0.000 0.000 0.492 0.504 0.004
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.0162 0.81024 0.996 0.004 0.000 0.000 0.000
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.4866 0.44341 0.000 0.580 0.028 0.392 0.000
#> ECB2DF14-CF68-44D4-8719-973AE448B992 3 0.5785 0.22862 0.128 0.004 0.616 0.000 0.252
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 4 0.2753 0.67332 0.000 0.008 0.136 0.856 0.000
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 3 0.4684 0.40483 0.072 0.000 0.744 0.008 0.176
#> 3282F146-2782-4877-9EFE-6020AC277A8C 4 0.0566 0.69470 0.000 0.004 0.012 0.984 0.000
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 5 0.0510 0.81066 0.016 0.000 0.000 0.000 0.984
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 3 0.4553 0.38013 0.004 0.008 0.604 0.384 0.000
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.3007 0.75990 0.000 0.864 0.028 0.104 0.004
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 4 0.4390 -0.00501 0.000 0.004 0.428 0.568 0.000
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.1341 0.78140 0.000 0.944 0.000 0.056 0.000
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 3 0.1357 0.57872 0.004 0.000 0.948 0.048 0.000
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 5 0.0671 0.81006 0.016 0.000 0.004 0.000 0.980
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 4 0.4425 -0.08462 0.000 0.004 0.452 0.544 0.000
#> C945DDA9-0194-46F4-89E2-13883284D5A4 4 0.4268 -0.04981 0.000 0.000 0.444 0.556 0.000
#> 79B11925-9772-474F-A729-D00315959710 1 0.1270 0.82149 0.948 0.000 0.052 0.000 0.000
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 4 0.1310 0.69636 0.000 0.020 0.024 0.956 0.000
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 3 0.1485 0.55393 0.032 0.000 0.948 0.020 0.000
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 5 0.0510 0.81066 0.016 0.000 0.000 0.000 0.984
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 5 0.2270 0.76388 0.076 0.000 0.020 0.000 0.904
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 4 0.3846 0.65288 0.008 0.144 0.032 0.812 0.004
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 3 0.4325 0.49948 0.004 0.012 0.684 0.300 0.000
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.4658 0.30512 0.000 0.008 0.556 0.432 0.004
#> 26796E5F-C0C2-466C-9012-882F6D29C149 4 0.1792 0.68607 0.000 0.000 0.084 0.916 0.000
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 3 0.3242 0.30278 0.216 0.000 0.784 0.000 0.000
#> 1492D21A-6458-4B49-B530-7A327FCDD031 3 0.5408 0.12867 0.120 0.000 0.652 0.000 0.228
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 5 0.0794 0.80681 0.028 0.000 0.000 0.000 0.972
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 4 0.3246 0.64642 0.000 0.008 0.184 0.808 0.000
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.0963 0.82020 0.964 0.000 0.036 0.000 0.000
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 5 0.4404 0.46455 0.024 0.000 0.292 0.000 0.684
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.2705 0.77721 0.036 0.900 0.012 0.048 0.004
#> E846120D-D9E6-46F8-9647-2272AB064072 1 0.3521 0.77319 0.764 0.000 0.232 0.000 0.004
#> 36880C8C-91A9-49A9-A2D5-957161737F31 2 0.4199 0.57615 0.296 0.692 0.008 0.004 0.000
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.3934 0.71915 0.160 0.796 0.008 0.036 0.000
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 2 0.5375 0.54848 0.004 0.640 0.080 0.276 0.000
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 1 0.4015 0.69266 0.652 0.000 0.348 0.000 0.000
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 3 0.3327 0.58435 0.004 0.008 0.824 0.160 0.004
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 2 0.4774 0.70941 0.036 0.768 0.128 0.068 0.000
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 4 0.4688 0.43700 0.004 0.012 0.348 0.632 0.004
#> 116F3F29-AB89-4F00-9003-559041E285EB 4 0.1571 0.69740 0.000 0.004 0.060 0.936 0.000
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.2681 0.77920 0.012 0.900 0.028 0.056 0.004
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 3 0.2006 0.52786 0.072 0.000 0.916 0.012 0.000
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 4 0.0912 0.68882 0.000 0.012 0.016 0.972 0.000
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 3 0.8966 0.30096 0.088 0.056 0.316 0.240 0.300
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 1 0.0162 0.81252 0.996 0.000 0.004 0.000 0.000
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 4 0.6280 0.47406 0.056 0.232 0.024 0.644 0.044
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 4 0.3989 0.45503 0.000 0.008 0.260 0.728 0.004
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.0324 0.80953 0.992 0.004 0.004 0.000 0.000
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 4 0.4425 -0.08532 0.000 0.004 0.452 0.544 0.000
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.3840 0.68742 0.208 0.772 0.008 0.012 0.000
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 3 0.5103 0.27773 0.000 0.028 0.524 0.444 0.004
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 3 0.2570 0.59739 0.004 0.008 0.880 0.108 0.000
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 4 0.3797 0.60171 0.004 0.008 0.232 0.756 0.000
#> CD576099-5450-4232-9B59-08341BED8FFA 4 0.1124 0.69598 0.000 0.004 0.036 0.960 0.000
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 4 0.3985 0.67262 0.016 0.068 0.048 0.840 0.028
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 1 0.0727 0.80379 0.980 0.004 0.004 0.000 0.012
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 1 0.0880 0.81877 0.968 0.000 0.032 0.000 0.000
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 4 0.5196 0.49162 0.012 0.276 0.036 0.668 0.008
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 4 0.5190 0.62436 0.028 0.040 0.140 0.756 0.036
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 4 0.3599 0.65431 0.000 0.020 0.160 0.812 0.008
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 1 0.4847 0.73560 0.692 0.000 0.240 0.000 0.068
#> 57E380FC-B6AB-466F-9936-D52192888008 1 0.2149 0.81393 0.916 0.000 0.048 0.000 0.036
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 4 0.3686 0.63087 0.000 0.012 0.204 0.780 0.004
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#> DBE10F31-6457-4799-A91A-0969ED58A0F4 3 0.4025 0.24134 0.292 0.008 0.700 0.000 0.000
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 3 0.4791 0.14096 0.000 0.012 0.524 0.460 0.004
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 1 0.1544 0.82124 0.932 0.000 0.068 0.000 0.000
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.1341 0.78140 0.000 0.944 0.000 0.056 0.000
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.0324 0.80953 0.992 0.004 0.004 0.000 0.000
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 3 0.1924 0.51884 0.064 0.000 0.924 0.004 0.008
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 3 0.4818 -0.47277 0.460 0.000 0.520 0.000 0.020
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 1 0.5848 0.62051 0.576 0.000 0.296 0.000 0.128
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 4 0.3885 0.42704 0.000 0.008 0.268 0.724 0.000
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.0486 0.80928 0.988 0.004 0.004 0.000 0.004
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.1430 0.78100 0.004 0.944 0.000 0.052 0.000
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 4 0.6426 0.32079 0.020 0.052 0.300 0.588 0.040
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.3907 0.69175 0.204 0.772 0.008 0.016 0.000
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 4 0.0324 0.69374 0.000 0.004 0.004 0.992 0.000
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 4 0.0865 0.69775 0.000 0.004 0.024 0.972 0.000
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 3 0.3810 0.47973 0.036 0.000 0.788 0.176 0.000
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 4 0.0865 0.69804 0.000 0.004 0.024 0.972 0.000
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.0162 0.81024 0.996 0.004 0.000 0.000 0.000
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.5802 0.35737 0.008 0.032 0.552 0.384 0.024
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.3814 0.74862 0.720 0.000 0.276 0.000 0.004
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.1041 0.81748 0.964 0.004 0.032 0.000 0.000
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.3910 0.74984 0.720 0.000 0.272 0.000 0.008
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.3033 0.76920 0.000 0.864 0.052 0.084 0.000
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 5 0.4961 0.08645 0.028 0.000 0.448 0.000 0.524
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.5516 0.65849 0.608 0.000 0.296 0.000 0.096
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 3 0.6572 0.52129 0.024 0.012 0.608 0.196 0.160
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.0324 0.81253 0.992 0.004 0.004 0.000 0.000
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 4 0.6616 0.31706 0.028 0.060 0.296 0.580 0.036
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 4 0.0000 0.69276 0.000 0.000 0.000 1.000 0.000
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 3 0.4911 0.59660 0.064 0.024 0.776 0.116 0.020
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 4 0.1502 0.69573 0.000 0.004 0.056 0.940 0.000
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 4 0.1205 0.69718 0.000 0.004 0.040 0.956 0.000
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 4 0.2909 0.67435 0.000 0.012 0.140 0.848 0.000
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.3684 0.74753 0.720 0.000 0.280 0.000 0.000
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 3 0.2456 0.54530 0.064 0.008 0.904 0.024 0.000
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 5 0.0510 0.81066 0.016 0.000 0.000 0.000 0.984
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.5122 0.25628 0.000 0.496 0.028 0.472 0.004
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 4 0.4258 0.53219 0.000 0.220 0.032 0.744 0.004
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 4 0.0794 0.69599 0.000 0.000 0.028 0.972 0.000
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 4 0.2236 0.67881 0.000 0.068 0.024 0.908 0.000
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.4338 0.57282 0.300 0.684 0.008 0.008 0.000
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 4 0.3081 0.66588 0.000 0.012 0.156 0.832 0.000
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 4 0.3618 0.63723 0.000 0.012 0.196 0.788 0.004
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.5442 0.26431 0.000 0.056 0.560 0.380 0.004
#> CA356591-D24F-41A8-8C9A-1178C7781510 4 0.0290 0.69421 0.000 0.000 0.008 0.992 0.000
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 5 0.3492 0.65181 0.016 0.000 0.188 0.000 0.796
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.0880 0.81971 0.968 0.000 0.032 0.000 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 4 0.4105 0.46677 0.000 0.004 0.332 0.648 0.016 0.000
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 4 0.7800 0.29805 0.040 0.084 0.304 0.356 0.216 0.000
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 3 0.5464 -0.05523 0.000 0.012 0.484 0.428 0.072 0.004
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.1285 0.74155 0.000 0.944 0.004 0.052 0.000 0.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 3 0.3806 0.56430 0.000 0.000 0.752 0.200 0.048 0.000
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 5 0.5570 0.55217 0.228 0.060 0.080 0.000 0.632 0.000
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 3 0.5020 -0.06645 0.000 0.004 0.500 0.436 0.060 0.000
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 3 0.4627 0.06741 0.000 0.000 0.560 0.396 0.044 0.000
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.4719 0.54512 0.000 0.592 0.008 0.360 0.040 0.000
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.2006 0.73728 0.000 0.892 0.004 0.104 0.000 0.000
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.7214 0.26874 0.004 0.440 0.268 0.128 0.160 0.000
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.1745 0.66768 0.000 0.000 0.920 0.068 0.012 0.000
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.0935 0.87121 0.964 0.000 0.000 0.032 0.004 0.000
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 4 0.5382 0.05665 0.000 0.400 0.008 0.504 0.088 0.000
#> ECB2DF14-CF68-44D4-8719-973AE448B992 5 0.7110 0.52649 0.132 0.000 0.152 0.012 0.504 0.200
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 4 0.5086 0.33680 0.000 0.000 0.384 0.532 0.084 0.000
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 5 0.6193 0.60917 0.060 0.000 0.292 0.024 0.564 0.060
#> 3282F146-2782-4877-9EFE-6020AC277A8C 4 0.4086 0.19281 0.000 0.000 0.464 0.528 0.008 0.000
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 6 0.0000 0.79632 0.000 0.000 0.000 0.000 0.000 1.000
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 3 0.3673 0.57258 0.000 0.004 0.736 0.016 0.244 0.000
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.5278 0.47232 0.000 0.584 0.008 0.308 0.100 0.000
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 3 0.2070 0.66546 0.000 0.000 0.896 0.092 0.012 0.000
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.1908 0.73875 0.000 0.900 0.004 0.096 0.000 0.000
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 5 0.3699 0.59258 0.000 0.000 0.336 0.004 0.660 0.000
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 6 0.0146 0.79528 0.004 0.000 0.000 0.000 0.000 0.996
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 3 0.2020 0.65957 0.000 0.000 0.896 0.096 0.008 0.000
#> C945DDA9-0194-46F4-89E2-13883284D5A4 3 0.1814 0.66007 0.000 0.000 0.900 0.100 0.000 0.000
#> 79B11925-9772-474F-A729-D00315959710 1 0.2669 0.79722 0.836 0.000 0.008 0.000 0.156 0.000
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 4 0.3672 0.52871 0.000 0.004 0.276 0.712 0.008 0.000
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 5 0.3421 0.64068 0.000 0.000 0.256 0.008 0.736 0.000
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 6 0.0000 0.79632 0.000 0.000 0.000 0.000 0.000 1.000
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 6 0.3864 0.61370 0.048 0.000 0.000 0.000 0.208 0.744
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 4 0.6129 0.51990 0.000 0.084 0.288 0.548 0.080 0.000
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 3 0.3547 0.44911 0.000 0.000 0.696 0.004 0.300 0.000
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.2001 0.66397 0.000 0.004 0.900 0.004 0.092 0.000
#> 26796E5F-C0C2-466C-9012-882F6D29C149 3 0.3287 0.55951 0.000 0.000 0.768 0.220 0.012 0.000
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 5 0.4269 0.66644 0.092 0.000 0.184 0.000 0.724 0.000
#> 1492D21A-6458-4B49-B530-7A327FCDD031 5 0.5457 0.62553 0.108 0.000 0.084 0.004 0.688 0.116
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 6 0.0146 0.79496 0.004 0.000 0.000 0.000 0.000 0.996
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 3 0.5201 0.08467 0.000 0.000 0.500 0.408 0.092 0.000
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.1643 0.86474 0.924 0.000 0.008 0.000 0.068 0.000
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 6 0.4794 0.47564 0.004 0.000 0.100 0.000 0.228 0.668
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.1465 0.74320 0.020 0.948 0.004 0.024 0.004 0.000
#> E846120D-D9E6-46F8-9647-2272AB064072 5 0.3937 0.25833 0.424 0.000 0.004 0.000 0.572 0.000
#> 36880C8C-91A9-49A9-A2D5-957161737F31 2 0.4494 0.55962 0.224 0.696 0.000 0.076 0.004 0.000
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.3309 0.65442 0.172 0.800 0.000 0.024 0.004 0.000
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 2 0.6914 0.22765 0.000 0.444 0.108 0.308 0.140 0.000
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 5 0.4078 0.43622 0.340 0.000 0.020 0.000 0.640 0.000
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 5 0.3869 0.20343 0.000 0.000 0.500 0.000 0.500 0.000
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 2 0.6482 0.59726 0.024 0.596 0.072 0.136 0.172 0.000
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 3 0.4016 0.64288 0.004 0.000 0.768 0.120 0.108 0.000
#> 116F3F29-AB89-4F00-9003-559041E285EB 3 0.4224 0.11046 0.000 0.000 0.552 0.432 0.016 0.000
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.1540 0.74019 0.012 0.948 0.012 0.012 0.016 0.000
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 5 0.4181 0.65926 0.052 0.000 0.248 0.000 0.700 0.000
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 4 0.3828 0.51020 0.000 0.004 0.288 0.696 0.012 0.000
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 3 0.7611 0.24885 0.032 0.016 0.452 0.064 0.168 0.268
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 1 0.1515 0.87299 0.944 0.008 0.000 0.028 0.020 0.000
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 4 0.5469 0.40140 0.032 0.160 0.028 0.708 0.052 0.020
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 3 0.3500 0.60115 0.000 0.000 0.768 0.204 0.028 0.000
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.0000 0.87326 1.000 0.000 0.000 0.000 0.000 0.000
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 3 0.2020 0.65794 0.000 0.000 0.896 0.096 0.008 0.000
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.4183 0.61142 0.180 0.740 0.000 0.076 0.004 0.000
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 3 0.3043 0.65132 0.000 0.008 0.836 0.024 0.132 0.000
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 5 0.3872 0.47498 0.000 0.000 0.392 0.004 0.604 0.000
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 4 0.5647 0.37178 0.004 0.004 0.288 0.556 0.148 0.000
#> CD576099-5450-4232-9B59-08341BED8FFA 3 0.4199 0.25394 0.000 0.000 0.600 0.380 0.020 0.000
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 4 0.5405 0.48286 0.000 0.016 0.268 0.624 0.080 0.012
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 1 0.0146 0.87270 0.996 0.000 0.000 0.000 0.000 0.004
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 1 0.1501 0.86416 0.924 0.000 0.000 0.000 0.076 0.000
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 4 0.5775 0.44191 0.000 0.196 0.068 0.628 0.108 0.000
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 3 0.5915 0.04290 0.004 0.008 0.464 0.416 0.096 0.012
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 3 0.5243 0.18967 0.000 0.004 0.532 0.376 0.088 0.000
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 1 0.5044 0.25284 0.536 0.000 0.000 0.000 0.384 0.080
#> 57E380FC-B6AB-466F-9936-D52192888008 1 0.2544 0.83382 0.864 0.000 0.004 0.000 0.120 0.012
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 3 0.4594 0.54183 0.000 0.000 0.676 0.232 0.092 0.000
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 1 0.3468 0.62402 0.728 0.000 0.008 0.000 0.264 0.000
#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 4 0.6925 0.43292 0.036 0.048 0.208 0.588 0.068 0.052
#> 1D4F0B66-720D-484D-B8D5-2B290ED208A8 3 0.4086 -0.02612 0.000 0.000 0.528 0.464 0.008 0.000
#> C886CA33-5080-4E3E-88A2-F9A3CF03A857 3 0.2848 0.62448 0.000 0.004 0.828 0.008 0.160 0.000
#> 9AC963E4-F82D-460E-9CAD-C651B879780A 4 0.4625 0.44653 0.000 0.220 0.040 0.704 0.036 0.000
#> 1B6CF403-D0AE-4FFE-A884-660A58F32660 3 0.2668 0.63443 0.000 0.000 0.828 0.168 0.004 0.000
#> B33316E1-11FD-4C10-956A-C9C6F78508C5 5 0.4303 0.32897 0.392 0.000 0.012 0.000 0.588 0.008
#> BB02EF6A-C57D-4A79-99C1-ED43A72FFAF7 4 0.5407 0.22878 0.000 0.324 0.008 0.560 0.108 0.000
#> 4DBA59AD-9393-4BE6-88CB-852C62C4A334 3 0.4038 0.56107 0.000 0.000 0.728 0.216 0.056 0.000
#> 7887EDC4-A0D7-4E57-B3A1-330A5683457D 6 0.0000 0.79632 0.000 0.000 0.000 0.000 0.000 1.000
#> 2CD3AC14-46FB-4260-AE5C-4305C68D49BC 3 0.4991 0.20050 0.000 0.012 0.572 0.364 0.052 0.000
#> BAB8FA79-208A-488D-B955-806263E5D6BB 3 0.3991 0.00835 0.000 0.000 0.524 0.472 0.004 0.000
#> 98C990E7-7E3B-4200-A88D-E641931302EA 1 0.0146 0.87270 0.996 0.000 0.000 0.000 0.000 0.004
#> 894EE382-5ACA-4DEB-9267-99ADBEF6DA19 3 0.4076 0.05923 0.000 0.000 0.540 0.452 0.008 0.000
#> 98795F95-D26D-438A-AF46-B3BC3553F020 5 0.5058 0.48088 0.076 0.000 0.424 0.000 0.500 0.000
#> 9AD4C328-1554-4C92-931C-30CE8F305FDE 1 0.0964 0.86899 0.968 0.016 0.000 0.012 0.004 0.000
#> 4D1518D9-D968-4E7F-A702-5157A1A2E83E 1 0.0000 0.87326 1.000 0.000 0.000 0.000 0.000 0.000
#> A6E8AF8C-5D7B-4197-990B-786A869ACB96 5 0.4062 0.59362 0.176 0.000 0.080 0.000 0.744 0.000
#> DF8B4E19-8C78-4A68-8FAE-DFF01076BC97 4 0.6644 0.43671 0.000 0.064 0.316 0.460 0.160 0.000
#> 8D2C608F-3280-4CA2-B996-9AE3DBDBBD28 3 0.2473 0.64731 0.000 0.000 0.856 0.136 0.008 0.000
#> E7BCBD8D-1219-4A99-948A-47A258A5CD8B 3 0.4083 0.00114 0.000 0.000 0.532 0.460 0.008 0.000
#> 2C9633A5-8ACB-4D16-8120-F098BA14BB04 4 0.6559 0.51913 0.000 0.136 0.180 0.552 0.132 0.000
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#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 5 0.4491 0.61285 0.188 0.000 0.076 0.004 0.724 0.008
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 5 0.4956 0.41480 0.316 0.000 0.008 0.000 0.608 0.068
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.2454 0.62311 0.000 0.000 0.840 0.160 0.000 0.000
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.0146 0.87270 0.996 0.000 0.000 0.000 0.000 0.004
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.1219 0.74226 0.000 0.948 0.004 0.048 0.000 0.000
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 3 0.5208 0.54683 0.004 0.008 0.672 0.216 0.084 0.016
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.3958 0.63796 0.180 0.764 0.000 0.040 0.016 0.000
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 4 0.3911 0.41446 0.000 0.000 0.368 0.624 0.008 0.000
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 4 0.3940 0.48078 0.000 0.000 0.348 0.640 0.012 0.000
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 5 0.5501 0.48871 0.004 0.000 0.260 0.144 0.588 0.004
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 4 0.3965 0.40954 0.000 0.000 0.388 0.604 0.008 0.000
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.0000 0.87326 1.000 0.000 0.000 0.000 0.000 0.000
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.3442 0.64589 0.004 0.008 0.836 0.044 0.100 0.008
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 5 0.4066 0.34185 0.392 0.000 0.012 0.000 0.596 0.000
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.3099 0.84201 0.860 0.016 0.004 0.064 0.056 0.000
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 5 0.4018 0.29395 0.412 0.000 0.008 0.000 0.580 0.000
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.5584 0.55049 0.000 0.600 0.060 0.280 0.060 0.000
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 6 0.5995 0.31919 0.004 0.000 0.208 0.020 0.204 0.564
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 5 0.4825 0.43163 0.312 0.000 0.012 0.000 0.624 0.052
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 5 0.5832 0.39305 0.000 0.004 0.372 0.032 0.512 0.080
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.1285 0.87303 0.944 0.004 0.000 0.000 0.052 0.000
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 3 0.5526 0.46559 0.004 0.012 0.620 0.264 0.088 0.012
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 4 0.4051 0.29054 0.000 0.000 0.432 0.560 0.008 0.000
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 5 0.5698 0.45886 0.032 0.008 0.384 0.040 0.528 0.008
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 3 0.4062 0.06235 0.000 0.000 0.552 0.440 0.008 0.000
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 3 0.4179 -0.05911 0.000 0.000 0.516 0.472 0.012 0.000
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 3 0.4553 0.36087 0.000 0.000 0.620 0.328 0.052 0.000
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 5 0.3993 0.32015 0.400 0.000 0.008 0.000 0.592 0.000
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 5 0.4470 0.65678 0.040 0.004 0.264 0.008 0.684 0.000
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 6 0.0000 0.79632 0.000 0.000 0.000 0.000 0.000 1.000
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 4 0.5690 0.19332 0.000 0.320 0.008 0.528 0.144 0.000
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 4 0.5402 0.40798 0.000 0.196 0.036 0.652 0.116 0.000
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 3 0.3872 0.25855 0.000 0.000 0.604 0.392 0.004 0.000
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 4 0.4734 0.52133 0.000 0.048 0.284 0.652 0.016 0.000
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.4670 0.55702 0.220 0.692 0.000 0.076 0.012 0.000
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 3 0.5065 0.11870 0.000 0.000 0.524 0.396 0.080 0.000
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 3 0.5313 0.09472 0.000 0.000 0.484 0.412 0.104 0.000
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.4512 0.61063 0.000 0.032 0.748 0.088 0.132 0.000
#> CA356591-D24F-41A8-8C9A-1178C7781510 4 0.4076 0.23096 0.000 0.000 0.452 0.540 0.008 0.000
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 6 0.3283 0.65404 0.000 0.000 0.160 0.000 0.036 0.804
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.0790 0.87490 0.968 0.000 0.000 0.000 0.032 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["CV", "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 17888 rows and 430 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 0.846 0.911 0.962 0.4959 0.505 0.505
#> 3 3 0.599 0.683 0.865 0.3363 0.713 0.490
#> 4 4 0.637 0.736 0.841 0.1242 0.809 0.507
#> 5 5 0.626 0.454 0.696 0.0614 0.872 0.568
#> 6 6 0.675 0.526 0.747 0.0414 0.843 0.424
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
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 2 0.0000 0.9613 0.000 1.000
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 2 0.0000 0.9613 0.000 1.000
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 2 0.0000 0.9613 0.000 1.000
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.0000 0.9613 0.000 1.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 2 0.0672 0.9557 0.008 0.992
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 1 0.0672 0.9534 0.992 0.008
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 2 0.0000 0.9613 0.000 1.000
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 2 0.0376 0.9585 0.004 0.996
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.0000 0.9613 0.000 1.000
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.0000 0.9613 0.000 1.000
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.2948 0.9166 0.052 0.948
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 2 0.7602 0.7025 0.220 0.780
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.0000 0.9588 1.000 0.000
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.0000 0.9613 0.000 1.000
#> ECB2DF14-CF68-44D4-8719-973AE448B992 1 0.0000 0.9588 1.000 0.000
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 2 0.0000 0.9613 0.000 1.000
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 1 0.0000 0.9588 1.000 0.000
#> 3282F146-2782-4877-9EFE-6020AC277A8C 2 0.0000 0.9613 0.000 1.000
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 1 0.0000 0.9588 1.000 0.000
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 2 0.9993 0.0117 0.484 0.516
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.0000 0.9613 0.000 1.000
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 2 0.0000 0.9613 0.000 1.000
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.0000 0.9613 0.000 1.000
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 1 0.0000 0.9588 1.000 0.000
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 1 0.2236 0.9322 0.964 0.036
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 2 0.0000 0.9613 0.000 1.000
#> C945DDA9-0194-46F4-89E2-13883284D5A4 2 0.0000 0.9613 0.000 1.000
#> 79B11925-9772-474F-A729-D00315959710 1 0.0000 0.9588 1.000 0.000
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 2 0.0000 0.9613 0.000 1.000
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 1 0.0000 0.9588 1.000 0.000
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 1 0.0000 0.9588 1.000 0.000
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.0000 0.9588 1.000 0.000
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.0000 0.9613 0.000 1.000
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 1 0.0000 0.9588 1.000 0.000
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 1 0.6887 0.7796 0.816 0.184
#> 26796E5F-C0C2-466C-9012-882F6D29C149 2 0.0000 0.9613 0.000 1.000
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 0.0000 0.9588 1.000 0.000
#> 1492D21A-6458-4B49-B530-7A327FCDD031 1 0.0000 0.9588 1.000 0.000
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 1 0.0000 0.9588 1.000 0.000
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 2 0.7056 0.7627 0.192 0.808
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.0000 0.9588 1.000 0.000
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 1 0.0000 0.9588 1.000 0.000
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.0000 0.9613 0.000 1.000
#> E846120D-D9E6-46F8-9647-2272AB064072 1 0.0000 0.9588 1.000 0.000
#> 36880C8C-91A9-49A9-A2D5-957161737F31 2 0.5178 0.8568 0.116 0.884
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.0000 0.9613 0.000 1.000
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 2 0.0000 0.9613 0.000 1.000
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 1 0.0000 0.9588 1.000 0.000
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 1 0.4022 0.8939 0.920 0.080
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 2 0.0000 0.9613 0.000 1.000
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 2 0.7056 0.7624 0.192 0.808
#> 116F3F29-AB89-4F00-9003-559041E285EB 2 0.0000 0.9613 0.000 1.000
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.0000 0.9613 0.000 1.000
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 1 0.0000 0.9588 1.000 0.000
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 2 0.0000 0.9613 0.000 1.000
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 1 0.6973 0.7744 0.812 0.188
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 1 0.0000 0.9588 1.000 0.000
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 2 0.0000 0.9613 0.000 1.000
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 2 0.0000 0.9613 0.000 1.000
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.0000 0.9588 1.000 0.000
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 2 0.0000 0.9613 0.000 1.000
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.1184 0.9497 0.016 0.984
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 1 0.9754 0.3537 0.592 0.408
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 1 0.0000 0.9588 1.000 0.000
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 2 0.1414 0.9465 0.020 0.980
#> CD576099-5450-4232-9B59-08341BED8FFA 2 0.0000 0.9613 0.000 1.000
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 2 0.0000 0.9613 0.000 1.000
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 1 0.0000 0.9588 1.000 0.000
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 1 0.0000 0.9588 1.000 0.000
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 2 0.0000 0.9613 0.000 1.000
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 2 0.9710 0.3646 0.400 0.600
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 2 0.4562 0.8768 0.096 0.904
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 1 0.0000 0.9588 1.000 0.000
#> 57E380FC-B6AB-466F-9936-D52192888008 1 0.0000 0.9588 1.000 0.000
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 2 0.7056 0.7624 0.192 0.808
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 1 0.0000 0.9588 1.000 0.000
#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 2 0.2948 0.9193 0.052 0.948
#> 1D4F0B66-720D-484D-B8D5-2B290ED208A8 2 0.0000 0.9613 0.000 1.000
#> C886CA33-5080-4E3E-88A2-F9A3CF03A857 1 0.1184 0.9478 0.984 0.016
#> 9AC963E4-F82D-460E-9CAD-C651B879780A 2 0.0000 0.9613 0.000 1.000
#> 1B6CF403-D0AE-4FFE-A884-660A58F32660 2 0.0000 0.9613 0.000 1.000
#> B33316E1-11FD-4C10-956A-C9C6F78508C5 1 0.0000 0.9588 1.000 0.000
#> BB02EF6A-C57D-4A79-99C1-ED43A72FFAF7 2 0.0000 0.9613 0.000 1.000
#> 4DBA59AD-9393-4BE6-88CB-852C62C4A334 2 0.0000 0.9613 0.000 1.000
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#> 94D3B158-1C7B-43A2-AE00-64E115344C52 2 0.0000 0.9613 0.000 1.000
#> 8A125E59-3E7E-4A77-9F5C-94AAD54C95E5 2 0.9993 0.0087 0.484 0.516
#> F1AD0BF7-6094-4B0D-9FE1-F8439124269A 2 0.9044 0.5131 0.320 0.680
#> 3F7EC434-13A6-46C4-8791-C8992192C3D6 2 0.0000 0.9613 0.000 1.000
#> 65D42DF3-62D8-4B1E-B6EB-A0FEEA01FD70 1 0.0000 0.9588 1.000 0.000
#> 7A42FA71-7FD7-47B6-842B-0BEF0ECD7FB5 1 0.0000 0.9588 1.000 0.000
#> 57F784E9-1827-476B-9AA6-524E842641EA 2 0.0000 0.9613 0.000 1.000
#> 5E79792E-CE89-4ECF-BD4E-B12877E63949 2 0.0000 0.9613 0.000 1.000
#> E9DB46D8-5CE4-472C-8F21-9180F2D4C880 2 0.0000 0.9613 0.000 1.000
#> 7C712EF3-7368-4D97-BB9A-717CF8522C7F 1 0.6623 0.7896 0.828 0.172
#> 30312D82-4966-4EAA-A067-F91852FA8663 2 0.0000 0.9613 0.000 1.000
#> ECC62CBA-16AB-45F0-9C5A-72F302B4A188 2 0.0000 0.9613 0.000 1.000
#> 5AF4899F-D8E1-4CB6-B3DC-F0C60C808838 2 0.0000 0.9613 0.000 1.000
#> BBCEA0D1-DE66-4C0C-8D3C-D1398D04B472 2 0.0000 0.9613 0.000 1.000
#> 154764CD-AC69-4F48-A212-8B27C076C91A 2 0.9922 0.2249 0.448 0.552
#> 33266777-E07B-49D0-9E24-2EDE2577CF16 1 0.0000 0.9588 1.000 0.000
#> 7DAE9720-3922-4680-9F95-75C029B7FDA9 2 0.0000 0.9613 0.000 1.000
#> 1BC2ECED-0425-4382-BB94-F57ED2687F18 1 0.0000 0.9588 1.000 0.000
#> 0901D931-77BE-47B0-AE5F-C26C6A144CA0 1 0.0000 0.9588 1.000 0.000
#> 77AFFD5F-F715-4242-95C9-5F36E061B3E2 1 0.0000 0.9588 1.000 0.000
#> FAB4A6D6-E978-4172-9FE1-79FC50C0F849 2 0.0000 0.9613 0.000 1.000
#> 32C4DF54-39DD-4F62-B938-82ED2A0E0FFD 1 0.0000 0.9588 1.000 0.000
#> 9911D83E-6DDF-4048-9A34-22BFA1D68BBD 2 0.2236 0.9336 0.036 0.964
#> 4BAC0A03-BB88-4D19-86F9-FF093330C9B3 1 0.3733 0.8992 0.928 0.072
#> 18F63ADA-1828-43DD-AE1F-F36706C204CD 2 0.0000 0.9613 0.000 1.000
#> 66729295-C0AA-42C7-92C9-05194EF02276 2 0.5294 0.8517 0.120 0.880
#> 4CCA3104-B557-403D-AC06-A6D4936DDC04 2 0.0000 0.9613 0.000 1.000
#> 77D4165E-7CB1-4D69-AFE5-C8D914531651 2 0.0000 0.9613 0.000 1.000
#> BA12A05A-622A-424D-8108-3F5916405EB0 1 0.2423 0.9293 0.960 0.040
#> DED4EA4D-9DC2-4419-83EC-2BFE75DC1830 2 0.0000 0.9613 0.000 1.000
#> 13A35364-57C5-4F5A-B077-3BA2689BFDD3 1 0.9608 0.4169 0.616 0.384
#> 2641B816-1D21-496E-85AD-1C690C9146A6 1 0.9635 0.4065 0.612 0.388
#> 96E2AD09-7287-4B91-840E-81444A61D56F 2 0.0000 0.9613 0.000 1.000
#> 62F3327F-FB16-4AD0-BCF5-B180F28281A9 2 0.6712 0.7839 0.176 0.824
#> 112F7032-0212-4939-9449-D67E3600CCD5 2 0.0000 0.9613 0.000 1.000
#> A3B4DE21-DDF0-4468-A300-7BECBAFD0BCD 1 0.0000 0.9588 1.000 0.000
#> 0A03E593-6931-419C-AE47-51D75185C2C0 2 0.0000 0.9613 0.000 1.000
#> 2416A3DC-A563-4FD1-A139-0E6EF7185211 2 0.0000 0.9613 0.000 1.000
#> 18B29573-822C-405F-B793-DBC8924866CE 2 0.0000 0.9613 0.000 1.000
#> 994EC227-B239-4CEE-AC96-EB5CC0AF583E 1 0.0000 0.9588 1.000 0.000
#> 950933A3-5757-4914-9DC5-C220C2A455FD 2 0.0376 0.9585 0.004 0.996
#> DBDFE95C-F941-407A-BE7D-D43D50143C4D 2 0.9944 0.1987 0.456 0.544
#> D024393C-29D0-41C4-AB86-7E94581FDD26 2 0.0000 0.9613 0.000 1.000
#> 4975AB35-93E5-400D-A429-CEA81BA89FFE 1 0.0000 0.9588 1.000 0.000
#> 666ADCA2-1AE4-4843-B1C8-8EE29C44AE74 1 0.0000 0.9588 1.000 0.000
#> A8F79C08-3943-4707-ADCB-890A955B5394 2 0.0000 0.9613 0.000 1.000
#> A81614ED-14CB-4EBC-988E-F67FBCBF62D8 1 0.0000 0.9588 1.000 0.000
#> E27E65C8-5B57-4C91-9D20-C075AEA2F2C5 1 0.0000 0.9588 1.000 0.000
#> 745F18CA-080D-42FE-BAA6-89AD7E3D3408 2 0.0000 0.9613 0.000 1.000
#> E755A625-799D-4A39-9D56-080228E0B669 1 0.2603 0.9241 0.956 0.044
#> 3D94EFB8-94D4-4FDE-97D8-18A159279996 2 0.0000 0.9613 0.000 1.000
#> 3D305C2E-6C86-4684-AA2A-155291AB4CC3 1 0.0000 0.9588 1.000 0.000
#> E140052A-5434-4C44-9873-0318D1D272CA 2 0.0000 0.9613 0.000 1.000
#> 68E56692-D46D-4A27-86CD-717E10AADDDA 2 0.0000 0.9613 0.000 1.000
#> 00A0586E-5F05-47B3-925C-87E811B0893B 1 0.6048 0.8236 0.852 0.148
#> E2B019A7-7C95-40FE-800C-D30E9730825C 1 0.0000 0.9588 1.000 0.000
#> 1B9ABB69-5CC6-4B6B-ABBC-71CC3274C7F0 1 0.0000 0.9588 1.000 0.000
#> FAE396AA-3C3C-4AF9-953D-385C41B2DB5B 1 0.0000 0.9588 1.000 0.000
#> 6BE4397D-1E5B-4486-83B4-EE0EC146C805 2 0.0000 0.9613 0.000 1.000
#> EE38BD4E-5A08-4639-912F-04203F53762F 1 0.0000 0.9588 1.000 0.000
#> 4050E7F8-80B6-46F2-8FF0-D4EC313E975B 2 0.3733 0.9010 0.072 0.928
#> F3565161-FFBE-4138-9773-558DB386710C 1 0.0000 0.9588 1.000 0.000
#> BA9ABEB1-D3F0-4F09-A647-25211C47C3D0 2 0.0000 0.9613 0.000 1.000
#> 9E41E79A-4028-4F60-8250-411F191B665C 1 0.0000 0.9588 1.000 0.000
#> 5F1D3EFD-ECDA-4C92-8D81-491484F09C95 1 0.7056 0.7692 0.808 0.192
#> 0DBA04CB-417D-4E2B-BE83-3563F45291C4 1 0.0000 0.9588 1.000 0.000
#> B9B882A5-194B-4F5C-B702-0CF71CA6D9D2 2 0.0000 0.9613 0.000 1.000
#> 67FE7638-B8F5-4631-B178-AC23B0382983 1 0.0000 0.9588 1.000 0.000
#> FE03FC2C-9A4E-4F89-8681-E33DFECCC692 2 0.0000 0.9613 0.000 1.000
#> 2B22B4B7-8A39-435C-BE3B-86FA84C8F941 2 0.0000 0.9613 0.000 1.000
#> 00844B35-C108-4AEC-A687-4A91A2F33E6D 1 0.0000 0.9588 1.000 0.000
#> C221EE7A-6343-4B6D-B322-0A2C0F0B29AF 1 0.0000 0.9588 1.000 0.000
#> B28A6D56-7654-4829-BF1F-657C3C2C10D8 1 0.0000 0.9588 1.000 0.000
#> F4C7BCEC-3CD4-4D9A-89EA-0ED58EA0DCFE 1 0.0000 0.9588 1.000 0.000
#> F06FBFAB-D143-47AE-BEE7-51B48164764F 1 0.9000 0.5653 0.684 0.316
#> 525F522B-E865-4479-AE65-510903ABF46F 2 0.0000 0.9613 0.000 1.000
#> F0CB60E3-C412-46A2-918F-8C5C099AB224 1 0.0000 0.9588 1.000 0.000
#> 587F307F-6E1B-487E-8E47-A99AB43DC5B4 1 0.0000 0.9588 1.000 0.000
#> 883D9145-8414-4571-A3E1-516F03452C46 2 0.9881 0.1878 0.436 0.564
#> 4A917271-7EA0-4F43-B474-7F5EA756EB05 1 0.0000 0.9588 1.000 0.000
#> BB33015D-218C-4A1E-8839-95837D6E9B88 1 0.0000 0.9588 1.000 0.000
#> 021CC81F-710D-4EEA-B1D8-012A81715ACC 1 0.0000 0.9588 1.000 0.000
#> B00C4925-47E3-4442-ABEB-82D714A26587 1 0.0000 0.9588 1.000 0.000
#> F79B27D3-0426-47BB-9756-7E0759246E5E 2 0.0000 0.9613 0.000 1.000
#> 1F179559-D93E-491C-B499-64F86C31DAE0 1 0.0000 0.9588 1.000 0.000
#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 1 0.0000 0.9588 1.000 0.000
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 1 0.0000 0.9588 1.000 0.000
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 1 0.0000 0.9588 1.000 0.000
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 2 0.2236 0.9337 0.036 0.964
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 1 0.0000 0.9588 1.000 0.000
#> ED9794C0-AC60-4B54-8214-D26714871BBF 1 0.0000 0.9588 1.000 0.000
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 2 0.2236 0.9336 0.036 0.964
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 2 0.0000 0.9613 0.000 1.000
#> 18D816AF-394A-482F-B22E-896A43B1E481 2 0.0000 0.9613 0.000 1.000
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 1 0.0000 0.9588 1.000 0.000
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 2 0.0000 0.9613 0.000 1.000
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 2 0.0000 0.9613 0.000 1.000
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 1 0.9580 0.4264 0.620 0.380
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 2 0.7453 0.7169 0.212 0.788
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 2 0.0000 0.9613 0.000 1.000
#> 7E809698-2473-4EFE-B896-1637983EC596 2 0.0000 0.9613 0.000 1.000
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 2 0.0000 0.9613 0.000 1.000
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 1 0.1843 0.9391 0.972 0.028
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 2 0.0000 0.9613 0.000 1.000
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.0000 0.9588 1.000 0.000
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.0000 0.9588 1.000 0.000
#> 73F28A79-7D35-4FE9-849D-FFE681483928 1 0.8267 0.6690 0.740 0.260
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 1 0.0000 0.9588 1.000 0.000
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 2 0.6048 0.8188 0.148 0.852
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 1 0.0000 0.9588 1.000 0.000
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.0000 0.9613 0.000 1.000
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.0000 0.9588 1.000 0.000
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 1 0.0000 0.9588 1.000 0.000
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 1 0.0000 0.9588 1.000 0.000
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 1 0.0000 0.9588 1.000 0.000
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 2 0.0000 0.9613 0.000 1.000
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.0000 0.9588 1.000 0.000
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.0000 0.9613 0.000 1.000
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 2 0.0000 0.9613 0.000 1.000
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.0000 0.9613 0.000 1.000
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 2 0.0000 0.9613 0.000 1.000
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 2 0.0000 0.9613 0.000 1.000
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 1 0.0000 0.9588 1.000 0.000
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 2 0.0000 0.9613 0.000 1.000
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.0000 0.9588 1.000 0.000
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 1 0.7815 0.7129 0.768 0.232
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.0000 0.9588 1.000 0.000
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.0000 0.9588 1.000 0.000
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.0000 0.9588 1.000 0.000
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.0000 0.9613 0.000 1.000
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 1 0.0000 0.9588 1.000 0.000
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.0000 0.9588 1.000 0.000
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 1 0.0000 0.9588 1.000 0.000
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.0000 0.9588 1.000 0.000
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 2 0.0000 0.9613 0.000 1.000
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 2 0.0000 0.9613 0.000 1.000
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 1 0.2603 0.9258 0.956 0.044
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 2 0.0000 0.9613 0.000 1.000
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 2 0.0000 0.9613 0.000 1.000
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 2 0.0938 0.9527 0.012 0.988
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.0000 0.9588 1.000 0.000
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.0000 0.9588 1.000 0.000
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 1 0.0000 0.9588 1.000 0.000
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.0000 0.9613 0.000 1.000
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.0000 0.9613 0.000 1.000
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 2 0.0000 0.9613 0.000 1.000
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 2 0.0000 0.9613 0.000 1.000
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.7528 0.7246 0.216 0.784
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 2 0.4161 0.8889 0.084 0.916
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 2 0.5519 0.8422 0.128 0.872
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 2 0.0000 0.9613 0.000 1.000
#> CA356591-D24F-41A8-8C9A-1178C7781510 2 0.0000 0.9613 0.000 1.000
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 1 0.0000 0.9588 1.000 0.000
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.0000 0.9588 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 2 0.6307 -0.04356 0.000 0.512 0.488
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 2 0.3879 0.70438 0.152 0.848 0.000
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 3 0.0000 0.74893 0.000 0.000 1.000
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.0000 0.84690 0.000 1.000 0.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 3 0.0592 0.74806 0.000 0.012 0.988
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 1 0.0000 0.90452 1.000 0.000 0.000
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 3 0.0424 0.74774 0.000 0.008 0.992
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 3 0.0000 0.74893 0.000 0.000 1.000
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.0000 0.84690 0.000 1.000 0.000
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.0000 0.84690 0.000 1.000 0.000
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.4178 0.69361 0.172 0.828 0.000
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.3816 0.69628 0.000 0.148 0.852
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.0237 0.90217 0.996 0.004 0.000
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.0000 0.84690 0.000 1.000 0.000
#> ECB2DF14-CF68-44D4-8719-973AE448B992 3 0.6291 -0.10782 0.468 0.000 0.532
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 2 0.6161 0.54281 0.020 0.708 0.272
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 1 0.6260 0.33241 0.552 0.000 0.448
#> 3282F146-2782-4877-9EFE-6020AC277A8C 2 0.6267 0.09754 0.000 0.548 0.452
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 3 0.0000 0.74893 0.000 0.000 1.000
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 2 0.6280 0.14950 0.460 0.540 0.000
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.0000 0.84690 0.000 1.000 0.000
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 2 0.0000 0.84690 0.000 1.000 0.000
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.0000 0.84690 0.000 1.000 0.000
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 1 0.0000 0.90452 1.000 0.000 0.000
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 3 0.0000 0.74893 0.000 0.000 1.000
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 3 0.6026 0.42453 0.000 0.376 0.624
#> C945DDA9-0194-46F4-89E2-13883284D5A4 3 0.4002 0.68884 0.000 0.160 0.840
#> 79B11925-9772-474F-A729-D00315959710 1 0.0000 0.90452 1.000 0.000 0.000
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 2 0.4887 0.62321 0.000 0.772 0.228
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#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.0000 0.90452 1.000 0.000 0.000
#> 73F28A79-7D35-4FE9-849D-FFE681483928 3 0.0000 0.74893 0.000 0.000 1.000
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 1 0.0000 0.90452 1.000 0.000 0.000
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 3 0.8568 0.51771 0.200 0.192 0.608
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 1 0.0000 0.90452 1.000 0.000 0.000
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.0000 0.84690 0.000 1.000 0.000
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.0000 0.90452 1.000 0.000 0.000
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 1 0.0000 0.90452 1.000 0.000 0.000
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 1 0.0747 0.89669 0.984 0.000 0.016
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 1 0.0000 0.90452 1.000 0.000 0.000
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.4605 0.65554 0.000 0.204 0.796
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.0000 0.90452 1.000 0.000 0.000
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.0000 0.84690 0.000 1.000 0.000
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 3 0.0000 0.74893 0.000 0.000 1.000
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.0000 0.84690 0.000 1.000 0.000
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 2 0.6274 0.08181 0.000 0.544 0.456
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 2 0.5621 0.48745 0.000 0.692 0.308
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 1 0.0000 0.90452 1.000 0.000 0.000
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 3 0.5733 0.51639 0.000 0.324 0.676
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.0000 0.90452 1.000 0.000 0.000
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.0424 0.74801 0.008 0.000 0.992
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.0000 0.90452 1.000 0.000 0.000
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.0424 0.89945 0.992 0.008 0.000
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.0000 0.90452 1.000 0.000 0.000
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.0000 0.84690 0.000 1.000 0.000
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 3 0.4452 0.58021 0.192 0.000 0.808
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.4062 0.77538 0.836 0.000 0.164
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 3 0.6192 0.05805 0.420 0.000 0.580
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.0000 0.90452 1.000 0.000 0.000
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 3 0.0000 0.74893 0.000 0.000 1.000
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 2 0.5926 0.38145 0.000 0.644 0.356
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 1 0.6309 0.20361 0.504 0.000 0.496
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 3 0.5968 0.44826 0.000 0.364 0.636
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 2 0.6204 0.19123 0.000 0.576 0.424
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 3 0.8033 0.54374 0.120 0.240 0.640
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.0000 0.90452 1.000 0.000 0.000
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.0000 0.90452 1.000 0.000 0.000
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 3 0.1753 0.73449 0.048 0.000 0.952
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.0000 0.84690 0.000 1.000 0.000
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.0000 0.84690 0.000 1.000 0.000
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 3 0.4399 0.67176 0.000 0.188 0.812
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 2 0.5968 0.35870 0.000 0.636 0.364
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.6244 0.18075 0.440 0.560 0.000
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 3 0.9456 0.28104 0.200 0.320 0.480
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 3 0.9313 0.35505 0.200 0.288 0.512
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 2 0.1289 0.82522 0.032 0.968 0.000
#> CA356591-D24F-41A8-8C9A-1178C7781510 3 0.6026 0.42373 0.000 0.376 0.624
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.0747 0.74638 0.016 0.000 0.984
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.0000 0.90452 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 3 0.2814 0.7850 0.000 0.132 0.868 0.000
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 2 0.6508 0.3433 0.088 0.568 0.344 0.000
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 3 0.4690 0.5075 0.000 0.012 0.712 0.276
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.0000 0.8659 0.000 1.000 0.000 0.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 3 0.2921 0.7170 0.000 0.000 0.860 0.140
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 1 0.3908 0.7077 0.784 0.212 0.004 0.000
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 3 0.4941 0.2792 0.000 0.000 0.564 0.436
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 4 0.4972 0.1645 0.000 0.000 0.456 0.544
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.0188 0.8650 0.000 0.996 0.004 0.000
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.0000 0.8659 0.000 1.000 0.000 0.000
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.0524 0.8624 0.004 0.988 0.008 0.000
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.5781 0.1853 0.000 0.036 0.584 0.380
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.0000 0.8883 1.000 0.000 0.000 0.000
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.0469 0.8632 0.000 0.988 0.012 0.000
#> ECB2DF14-CF68-44D4-8719-973AE448B992 4 0.0000 0.8064 0.000 0.000 0.000 1.000
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 3 0.4758 0.7818 0.064 0.156 0.780 0.000
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 4 0.1545 0.7889 0.040 0.000 0.008 0.952
#> 3282F146-2782-4877-9EFE-6020AC277A8C 3 0.3074 0.7857 0.000 0.152 0.848 0.000
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 4 0.1474 0.8108 0.000 0.000 0.052 0.948
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 2 0.5229 0.2340 0.000 0.564 0.008 0.428
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.0000 0.8659 0.000 1.000 0.000 0.000
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 2 0.0657 0.8616 0.012 0.984 0.004 0.000
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.0000 0.8659 0.000 1.000 0.000 0.000
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 1 0.1452 0.8836 0.956 0.000 0.008 0.036
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 4 0.1867 0.8095 0.000 0.000 0.072 0.928
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 4 0.7067 0.4665 0.000 0.160 0.288 0.552
#> C945DDA9-0194-46F4-89E2-13883284D5A4 3 0.3810 0.7527 0.000 0.060 0.848 0.092
#> 79B11925-9772-474F-A729-D00315959710 1 0.0000 0.8883 1.000 0.000 0.000 0.000
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 3 0.4406 0.6876 0.000 0.300 0.700 0.000
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 1 0.1356 0.8839 0.960 0.000 0.008 0.032
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 4 0.0000 0.8064 0.000 0.000 0.000 1.000
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 4 0.2676 0.7545 0.092 0.000 0.012 0.896
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.4532 0.7004 0.000 0.792 0.156 0.052
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 1 0.7593 0.1544 0.464 0.372 0.008 0.156
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 4 0.4936 0.6926 0.000 0.020 0.280 0.700
#> 26796E5F-C0C2-466C-9012-882F6D29C149 3 0.4406 0.6868 0.000 0.300 0.700 0.000
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 0.0000 0.8883 1.000 0.000 0.000 0.000
#> 1492D21A-6458-4B49-B530-7A327FCDD031 1 0.4539 0.6565 0.720 0.000 0.008 0.272
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 4 0.0000 0.8064 0.000 0.000 0.000 1.000
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 3 0.0817 0.7727 0.000 0.024 0.976 0.000
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.1151 0.8861 0.968 0.000 0.024 0.008
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 4 0.1706 0.8124 0.016 0.000 0.036 0.948
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.0188 0.8649 0.000 0.996 0.004 0.000
#> E846120D-D9E6-46F8-9647-2272AB064072 1 0.2179 0.8707 0.924 0.000 0.012 0.064
#> 36880C8C-91A9-49A9-A2D5-957161737F31 2 0.5193 0.3182 0.412 0.580 0.008 0.000
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.0188 0.8650 0.004 0.996 0.000 0.000
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 2 0.0000 0.8659 0.000 1.000 0.000 0.000
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 1 0.1118 0.8793 0.964 0.000 0.000 0.036
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 4 0.6538 0.6766 0.232 0.000 0.140 0.628
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 2 0.0000 0.8659 0.000 1.000 0.000 0.000
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 3 0.4371 0.7165 0.080 0.020 0.836 0.064
#> 116F3F29-AB89-4F00-9003-559041E285EB 3 0.3400 0.7462 0.000 0.180 0.820 0.000
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.3768 0.7174 0.184 0.808 0.008 0.000
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 1 0.6366 0.3187 0.512 0.000 0.424 0.064
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 3 0.4072 0.7264 0.000 0.252 0.748 0.000
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 4 0.3266 0.7937 0.000 0.000 0.168 0.832
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 1 0.0336 0.8877 0.992 0.000 0.008 0.000
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 2 0.7363 0.0351 0.000 0.476 0.168 0.356
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 2 0.0336 0.8635 0.000 0.992 0.008 0.000
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.0000 0.8883 1.000 0.000 0.000 0.000
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 4 0.6887 0.2152 0.000 0.104 0.440 0.456
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.0336 0.8640 0.008 0.992 0.000 0.000
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 4 0.4955 0.7062 0.000 0.024 0.268 0.708
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 1 0.1545 0.8804 0.952 0.000 0.008 0.040
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 3 0.0779 0.7693 0.004 0.016 0.980 0.000
#> CD576099-5450-4232-9B59-08341BED8FFA 2 0.4677 0.4978 0.000 0.680 0.316 0.004
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 3 0.4730 0.3113 0.000 0.000 0.636 0.364
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 1 0.0188 0.8882 0.996 0.000 0.004 0.000
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 1 0.0000 0.8883 1.000 0.000 0.000 0.000
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 2 0.1637 0.8316 0.000 0.940 0.060 0.000
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 3 0.4134 0.5410 0.000 0.000 0.740 0.260
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 3 0.2868 0.7160 0.000 0.000 0.864 0.136
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 1 0.2589 0.8216 0.884 0.000 0.000 0.116
#> 57E380FC-B6AB-466F-9936-D52192888008 1 0.4746 0.4657 0.632 0.000 0.000 0.368
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 3 0.3938 0.7196 0.080 0.008 0.852 0.060
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 1 0.0188 0.8883 0.996 0.000 0.000 0.004
#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 4 0.3444 0.7859 0.000 0.000 0.184 0.816
#> 1D4F0B66-720D-484D-B8D5-2B290ED208A8 3 0.3176 0.7838 0.000 0.084 0.880 0.036
#> C886CA33-5080-4E3E-88A2-F9A3CF03A857 1 0.1229 0.8849 0.968 0.020 0.008 0.004
#> 9AC963E4-F82D-460E-9CAD-C651B879780A 2 0.4730 0.2459 0.000 0.636 0.364 0.000
#> 1B6CF403-D0AE-4FFE-A884-660A58F32660 3 0.2868 0.7840 0.000 0.136 0.864 0.000
#> B33316E1-11FD-4C10-956A-C9C6F78508C5 1 0.4661 0.4698 0.652 0.000 0.000 0.348
#> BB02EF6A-C57D-4A79-99C1-ED43A72FFAF7 2 0.0000 0.8659 0.000 1.000 0.000 0.000
#> 4DBA59AD-9393-4BE6-88CB-852C62C4A334 3 0.3157 0.7645 0.004 0.144 0.852 0.000
#> 7887EDC4-A0D7-4E57-B3A1-330A5683457D 4 0.0000 0.8064 0.000 0.000 0.000 1.000
#> 2CD3AC14-46FB-4260-AE5C-4305C68D49BC 4 0.3486 0.7850 0.000 0.000 0.188 0.812
#> BAB8FA79-208A-488D-B955-806263E5D6BB 3 0.3404 0.7806 0.000 0.104 0.864 0.032
#> 98C990E7-7E3B-4200-A88D-E641931302EA 1 0.0336 0.8877 0.992 0.000 0.008 0.000
#> 894EE382-5ACA-4DEB-9267-99ADBEF6DA19 4 0.7687 0.3360 0.000 0.240 0.312 0.448
#> 98795F95-D26D-438A-AF46-B3BC3553F020 1 0.6440 0.4597 0.564 0.000 0.356 0.080
#> 9AD4C328-1554-4C92-931C-30CE8F305FDE 1 0.0336 0.8877 0.992 0.000 0.008 0.000
#> 4D1518D9-D968-4E7F-A702-5157A1A2E83E 1 0.0336 0.8877 0.992 0.000 0.008 0.000
#> A6E8AF8C-5D7B-4197-990B-786A869ACB96 1 0.3668 0.7516 0.808 0.000 0.004 0.188
#> DF8B4E19-8C78-4A68-8FAE-DFF01076BC97 2 0.1557 0.8378 0.000 0.944 0.056 0.000
#> 8D2C608F-3280-4CA2-B996-9AE3DBDBBD28 2 0.5947 0.2718 0.000 0.572 0.044 0.384
#> E7BCBD8D-1219-4A99-948A-47A258A5CD8B 3 0.4277 0.7076 0.000 0.280 0.720 0.000
#> 2C9633A5-8ACB-4D16-8120-F098BA14BB04 2 0.0817 0.8549 0.000 0.976 0.024 0.000
#> 985D9304-E4DA-4038-B235-067CBFEAC902 2 0.0657 0.8606 0.012 0.984 0.004 0.000
#> D34CE243-6F4F-4158-9FC4-77E1640E8A91 2 0.0000 0.8659 0.000 1.000 0.000 0.000
#> 65131575-48D3-42C2-B411-3DB871EF5EE1 4 0.2973 0.8022 0.000 0.000 0.144 0.856
#> 1AE13DFA-670C-43EE-9898-8FA831AEDDB3 3 0.3372 0.7809 0.000 0.096 0.868 0.036
#> 3ACDCD29-1B8D-455D-9EE9-D6C903B16D09 4 0.0000 0.8064 0.000 0.000 0.000 1.000
#> C6FBC35B-0113-4F00-BE1A-831D2C551055 4 0.6338 0.4675 0.316 0.000 0.084 0.600
#> A8F3285D-A85E-4E73-9D20-9D14AA51916B 3 0.1822 0.7777 0.004 0.044 0.944 0.008
#> 51601A73-2D75-4056-AEBB-8FF8DB813450 3 0.2530 0.7337 0.100 0.000 0.896 0.004
#> 75021778-A96B-4F57-8C26-68E8F33D7EB7 4 0.2011 0.8084 0.000 0.000 0.080 0.920
#> 71FFB439-22A1-4EBB-AEA6-A6BCA8CA6648 3 0.6383 0.3490 0.292 0.000 0.612 0.096
#> BEDB0135-0A26-44EF-9028-C4907403B110 3 0.3907 0.7489 0.000 0.232 0.768 0.000
#> 3B8BA56B-0E7B-4754-8729-8D613D0484E1 1 0.2329 0.8670 0.916 0.000 0.012 0.072
#> 100BF963-6103-45E6-A760-E44649580CF5 3 0.4222 0.6668 0.000 0.000 0.728 0.272
#> C26F21EA-5911-483F-BF64-03904BF93A20 2 0.9030 0.0549 0.136 0.432 0.120 0.312
#> 9E50162D-8149-41D2-86C1-1C892EB98DFA 3 0.4100 0.6997 0.092 0.000 0.832 0.076
#> 09521B29-B002-4AAD-93F1-6E600DD31515 2 0.0188 0.8650 0.000 0.996 0.004 0.000
#> 45FD44A6-7976-4453-BD3F-99D21DA3ECC2 1 0.5383 0.3544 0.536 0.000 0.012 0.452
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#> 3F7EC434-13A6-46C4-8791-C8992192C3D6 3 0.3166 0.7850 0.000 0.116 0.868 0.016
#> 65D42DF3-62D8-4B1E-B6EB-A0FEEA01FD70 4 0.0000 0.8064 0.000 0.000 0.000 1.000
#> 7A42FA71-7FD7-47B6-842B-0BEF0ECD7FB5 4 0.5563 0.7486 0.160 0.004 0.100 0.736
#> 57F784E9-1827-476B-9AA6-524E842641EA 4 0.6054 0.6552 0.000 0.088 0.256 0.656
#> 5E79792E-CE89-4ECF-BD4E-B12877E63949 2 0.3672 0.7223 0.000 0.824 0.164 0.012
#> E9DB46D8-5CE4-472C-8F21-9180F2D4C880 3 0.1305 0.7787 0.000 0.036 0.960 0.004
#> 7C712EF3-7368-4D97-BB9A-717CF8522C7F 3 0.4104 0.7000 0.088 0.000 0.832 0.080
#> 30312D82-4966-4EAA-A067-F91852FA8663 2 0.2593 0.8152 0.080 0.904 0.016 0.000
#> ECC62CBA-16AB-45F0-9C5A-72F302B4A188 2 0.7550 0.4134 0.020 0.564 0.248 0.168
#> 5AF4899F-D8E1-4CB6-B3DC-F0C60C808838 2 0.0188 0.8650 0.000 0.996 0.004 0.000
#> BBCEA0D1-DE66-4C0C-8D3C-D1398D04B472 2 0.0000 0.8659 0.000 1.000 0.000 0.000
#> 154764CD-AC69-4F48-A212-8B27C076C91A 3 0.4036 0.7029 0.088 0.000 0.836 0.076
#> 33266777-E07B-49D0-9E24-2EDE2577CF16 1 0.1356 0.8833 0.960 0.000 0.008 0.032
#> 7DAE9720-3922-4680-9F95-75C029B7FDA9 2 0.0000 0.8659 0.000 1.000 0.000 0.000
#> 1BC2ECED-0425-4382-BB94-F57ED2687F18 1 0.4599 0.8072 0.800 0.000 0.112 0.088
#> 0901D931-77BE-47B0-AE5F-C26C6A144CA0 1 0.1584 0.8816 0.952 0.000 0.012 0.036
#> 77AFFD5F-F715-4242-95C9-5F36E061B3E2 4 0.0000 0.8064 0.000 0.000 0.000 1.000
#> FAB4A6D6-E978-4172-9FE1-79FC50C0F849 3 0.3547 0.7687 0.000 0.072 0.864 0.064
#> 32C4DF54-39DD-4F62-B938-82ED2A0E0FFD 1 0.5891 0.7282 0.700 0.000 0.132 0.168
#> 9911D83E-6DDF-4048-9A34-22BFA1D68BBD 4 0.3801 0.7379 0.000 0.000 0.220 0.780
#> 4BAC0A03-BB88-4D19-86F9-FF093330C9B3 4 0.3494 0.7922 0.004 0.000 0.172 0.824
#> 18F63ADA-1828-43DD-AE1F-F36706C204CD 2 0.1109 0.8538 0.000 0.968 0.028 0.004
#> 66729295-C0AA-42C7-92C9-05194EF02276 4 0.4072 0.7210 0.000 0.000 0.252 0.748
#> 4CCA3104-B557-403D-AC06-A6D4936DDC04 3 0.2928 0.7963 0.000 0.108 0.880 0.012
#> 77D4165E-7CB1-4D69-AFE5-C8D914531651 2 0.2635 0.8142 0.000 0.904 0.076 0.020
#> BA12A05A-622A-424D-8108-3F5916405EB0 3 0.6611 -0.1692 0.460 0.000 0.460 0.080
#> DED4EA4D-9DC2-4419-83EC-2BFE75DC1830 2 0.0592 0.8595 0.000 0.984 0.016 0.000
#> 13A35364-57C5-4F5A-B077-3BA2689BFDD3 1 0.2546 0.8475 0.912 0.060 0.028 0.000
#> 2641B816-1D21-496E-85AD-1C690C9146A6 3 0.0895 0.7631 0.000 0.004 0.976 0.020
#> 96E2AD09-7287-4B91-840E-81444A61D56F 2 0.0592 0.8595 0.000 0.984 0.016 0.000
#> 62F3327F-FB16-4AD0-BCF5-B180F28281A9 3 0.4636 0.7273 0.000 0.140 0.792 0.068
#> 112F7032-0212-4939-9449-D67E3600CCD5 2 0.0000 0.8659 0.000 1.000 0.000 0.000
#> A3B4DE21-DDF0-4468-A300-7BECBAFD0BCD 4 0.3725 0.7099 0.180 0.000 0.008 0.812
#> 0A03E593-6931-419C-AE47-51D75185C2C0 3 0.4392 0.7628 0.012 0.216 0.768 0.004
#> 2416A3DC-A563-4FD1-A139-0E6EF7185211 2 0.0188 0.8650 0.000 0.996 0.004 0.000
#> 18B29573-822C-405F-B793-DBC8924866CE 2 0.0000 0.8659 0.000 1.000 0.000 0.000
#> 994EC227-B239-4CEE-AC96-EB5CC0AF583E 1 0.0336 0.8877 0.992 0.000 0.008 0.000
#> 950933A3-5757-4914-9DC5-C220C2A455FD 3 0.3215 0.7459 0.076 0.016 0.888 0.020
#> DBDFE95C-F941-407A-BE7D-D43D50143C4D 1 0.3837 0.7042 0.776 0.224 0.000 0.000
#> D024393C-29D0-41C4-AB86-7E94581FDD26 3 0.3166 0.7850 0.000 0.116 0.868 0.016
#> 4975AB35-93E5-400D-A429-CEA81BA89FFE 1 0.5222 0.7798 0.756 0.000 0.132 0.112
#> 666ADCA2-1AE4-4843-B1C8-8EE29C44AE74 1 0.1302 0.8797 0.956 0.000 0.044 0.000
#> A8F79C08-3943-4707-ADCB-890A955B5394 2 0.0000 0.8659 0.000 1.000 0.000 0.000
#> A81614ED-14CB-4EBC-988E-F67FBCBF62D8 2 0.5085 0.4082 0.376 0.616 0.008 0.000
#> E27E65C8-5B57-4C91-9D20-C075AEA2F2C5 1 0.0000 0.8883 1.000 0.000 0.000 0.000
#> 745F18CA-080D-42FE-BAA6-89AD7E3D3408 2 0.7441 0.1722 0.000 0.488 0.320 0.192
#> E755A625-799D-4A39-9D56-080228E0B669 1 0.2714 0.8491 0.884 0.004 0.112 0.000
#> 3D94EFB8-94D4-4FDE-97D8-18A159279996 3 0.4401 0.7092 0.004 0.272 0.724 0.000
#> 3D305C2E-6C86-4684-AA2A-155291AB4CC3 1 0.2255 0.8696 0.920 0.000 0.012 0.068
#> E140052A-5434-4C44-9873-0318D1D272CA 2 0.2011 0.8135 0.000 0.920 0.080 0.000
#> 68E56692-D46D-4A27-86CD-717E10AADDDA 3 0.3105 0.7267 0.000 0.012 0.868 0.120
#> 00A0586E-5F05-47B3-925C-87E811B0893B 4 0.3356 0.7910 0.000 0.000 0.176 0.824
#> E2B019A7-7C95-40FE-800C-D30E9730825C 4 0.0336 0.8060 0.008 0.000 0.000 0.992
#> 1B9ABB69-5CC6-4B6B-ABBC-71CC3274C7F0 1 0.4206 0.8134 0.816 0.000 0.136 0.048
#> FAE396AA-3C3C-4AF9-953D-385C41B2DB5B 4 0.6936 0.5538 0.292 0.000 0.144 0.564
#> 6BE4397D-1E5B-4486-83B4-EE0EC146C805 2 0.2408 0.7957 0.000 0.896 0.104 0.000
#> EE38BD4E-5A08-4639-912F-04203F53762F 1 0.0336 0.8877 0.992 0.000 0.008 0.000
#> 4050E7F8-80B6-46F2-8FF0-D4EC313E975B 3 0.5021 0.7013 0.000 0.036 0.724 0.240
#> F3565161-FFBE-4138-9773-558DB386710C 1 0.0000 0.8883 1.000 0.000 0.000 0.000
#> BA9ABEB1-D3F0-4F09-A647-25211C47C3D0 2 0.0000 0.8659 0.000 1.000 0.000 0.000
#> 9E41E79A-4028-4F60-8250-411F191B665C 1 0.0000 0.8883 1.000 0.000 0.000 0.000
#> 5F1D3EFD-ECDA-4C92-8D81-491484F09C95 4 0.3356 0.7906 0.000 0.000 0.176 0.824
#> 0DBA04CB-417D-4E2B-BE83-3563F45291C4 1 0.0336 0.8880 0.992 0.000 0.008 0.000
#> B9B882A5-194B-4F5C-B702-0CF71CA6D9D2 3 0.4661 0.6210 0.000 0.348 0.652 0.000
#> 67FE7638-B8F5-4631-B178-AC23B0382983 4 0.5244 0.0951 0.436 0.000 0.008 0.556
#> FE03FC2C-9A4E-4F89-8681-E33DFECCC692 2 0.1637 0.8349 0.060 0.940 0.000 0.000
#> 2B22B4B7-8A39-435C-BE3B-86FA84C8F941 2 0.3908 0.6831 0.000 0.784 0.212 0.004
#> 00844B35-C108-4AEC-A687-4A91A2F33E6D 1 0.0937 0.8868 0.976 0.000 0.012 0.012
#> C221EE7A-6343-4B6D-B322-0A2C0F0B29AF 1 0.1545 0.8822 0.952 0.000 0.008 0.040
#> B28A6D56-7654-4829-BF1F-657C3C2C10D8 1 0.0188 0.8883 0.996 0.000 0.004 0.000
#> F4C7BCEC-3CD4-4D9A-89EA-0ED58EA0DCFE 4 0.0188 0.8066 0.004 0.000 0.000 0.996
#> F06FBFAB-D143-47AE-BEE7-51B48164764F 2 0.2032 0.8368 0.036 0.936 0.028 0.000
#> 525F522B-E865-4479-AE65-510903ABF46F 2 0.0188 0.8650 0.000 0.996 0.004 0.000
#> F0CB60E3-C412-46A2-918F-8C5C099AB224 4 0.0000 0.8064 0.000 0.000 0.000 1.000
#> 587F307F-6E1B-487E-8E47-A99AB43DC5B4 1 0.6575 0.3083 0.508 0.000 0.412 0.080
#> 883D9145-8414-4571-A3E1-516F03452C46 1 0.7636 0.4285 0.528 0.272 0.012 0.188
#> 4A917271-7EA0-4F43-B474-7F5EA756EB05 1 0.0000 0.8883 1.000 0.000 0.000 0.000
#> BB33015D-218C-4A1E-8839-95837D6E9B88 1 0.3931 0.8238 0.832 0.000 0.128 0.040
#> 021CC81F-710D-4EEA-B1D8-012A81715ACC 1 0.4841 0.7891 0.780 0.000 0.140 0.080
#> B00C4925-47E3-4442-ABEB-82D714A26587 4 0.1716 0.8133 0.000 0.000 0.064 0.936
#> F79B27D3-0426-47BB-9756-7E0759246E5E 2 0.0817 0.8586 0.000 0.976 0.024 0.000
#> 1F179559-D93E-491C-B499-64F86C31DAE0 4 0.0188 0.8070 0.000 0.000 0.004 0.996
#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 4 0.0469 0.8085 0.000 0.000 0.012 0.988
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 1 0.0937 0.8875 0.976 0.000 0.012 0.012
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 1 0.4700 0.7987 0.792 0.000 0.124 0.084
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 2 0.0672 0.8614 0.000 0.984 0.008 0.008
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 1 0.3367 0.8525 0.876 0.012 0.092 0.020
#> ED9794C0-AC60-4B54-8214-D26714871BBF 1 0.0336 0.8877 0.992 0.000 0.008 0.000
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 4 0.6966 0.5570 0.000 0.160 0.268 0.572
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 2 0.0000 0.8659 0.000 1.000 0.000 0.000
#> 18D816AF-394A-482F-B22E-896A43B1E481 2 0.4790 0.4202 0.000 0.620 0.000 0.380
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 1 0.0188 0.8882 0.996 0.000 0.004 0.000
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 3 0.3105 0.7851 0.000 0.120 0.868 0.012
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 2 0.2081 0.8205 0.000 0.916 0.084 0.000
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 4 0.4454 0.6589 0.000 0.000 0.308 0.692
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 4 0.4904 0.7459 0.000 0.040 0.216 0.744
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 2 0.6315 0.1828 0.000 0.540 0.064 0.396
#> 7E809698-2473-4EFE-B896-1637983EC596 2 0.3610 0.6965 0.000 0.800 0.200 0.000
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 3 0.3024 0.7013 0.000 0.000 0.852 0.148
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 4 0.3907 0.7573 0.000 0.000 0.232 0.768
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 2 0.4103 0.5350 0.000 0.744 0.256 0.000
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.0336 0.8877 0.992 0.000 0.008 0.000
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.0336 0.8877 0.992 0.000 0.008 0.000
#> 73F28A79-7D35-4FE9-849D-FFE681483928 4 0.4008 0.7464 0.000 0.000 0.244 0.756
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 1 0.0188 0.8882 0.996 0.000 0.004 0.000
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 3 0.3861 0.7220 0.080 0.008 0.856 0.056
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 1 0.0000 0.8883 1.000 0.000 0.000 0.000
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.3649 0.6398 0.000 0.796 0.204 0.000
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.0188 0.8882 0.996 0.000 0.004 0.000
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 1 0.0524 0.8878 0.988 0.000 0.008 0.004
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 1 0.4522 0.5110 0.680 0.000 0.000 0.320
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 1 0.1452 0.8832 0.956 0.000 0.036 0.008
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.3858 0.7706 0.000 0.100 0.844 0.056
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.0336 0.8877 0.992 0.000 0.008 0.000
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.0000 0.8659 0.000 1.000 0.000 0.000
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 4 0.3356 0.7905 0.000 0.000 0.176 0.824
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.3688 0.6848 0.208 0.792 0.000 0.000
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 3 0.4543 0.6578 0.000 0.324 0.676 0.000
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 3 0.3726 0.7639 0.000 0.212 0.788 0.000
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 1 0.0336 0.8877 0.992 0.000 0.008 0.000
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 3 0.3243 0.7542 0.000 0.036 0.876 0.088
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.0336 0.8877 0.992 0.000 0.008 0.000
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 4 0.4679 0.6083 0.000 0.000 0.352 0.648
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.3161 0.8396 0.864 0.000 0.124 0.012
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.0336 0.8881 0.992 0.008 0.000 0.000
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.3581 0.8363 0.852 0.000 0.116 0.032
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.0592 0.8595 0.000 0.984 0.016 0.000
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 4 0.1022 0.8110 0.000 0.000 0.032 0.968
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.2882 0.8359 0.892 0.000 0.024 0.084
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 4 0.0000 0.8064 0.000 0.000 0.000 1.000
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.0336 0.8877 0.992 0.000 0.008 0.000
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 4 0.3870 0.7726 0.000 0.004 0.208 0.788
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 3 0.4382 0.6918 0.000 0.296 0.704 0.000
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 4 0.4791 0.7903 0.080 0.000 0.136 0.784
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 3 0.2814 0.7850 0.000 0.132 0.868 0.000
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 3 0.2868 0.7840 0.000 0.136 0.864 0.000
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 3 0.1297 0.7708 0.000 0.020 0.964 0.016
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.0336 0.8877 0.992 0.000 0.008 0.000
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.0524 0.8867 0.988 0.004 0.008 0.000
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 4 0.0469 0.8088 0.000 0.000 0.012 0.988
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.0000 0.8659 0.000 1.000 0.000 0.000
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.0000 0.8659 0.000 1.000 0.000 0.000
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 3 0.4168 0.7516 0.000 0.080 0.828 0.092
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.3123 0.7778 0.000 0.156 0.844 0.000
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.4360 0.6407 0.248 0.744 0.008 0.000
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 3 0.4296 0.7435 0.080 0.060 0.840 0.020
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 3 0.3989 0.7219 0.080 0.012 0.852 0.056
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 2 0.4700 0.7114 0.084 0.792 0.124 0.000
#> CA356591-D24F-41A8-8C9A-1178C7781510 3 0.3533 0.7779 0.000 0.080 0.864 0.056
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 4 0.0000 0.8064 0.000 0.000 0.000 1.000
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.0336 0.8880 0.992 0.000 0.008 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 4 0.0404 0.58037 0.000 0.000 0.012 0.988 0.000
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 1 0.6952 -0.12622 0.472 0.304 0.020 0.204 0.000
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 4 0.5803 0.10951 0.000 0.000 0.420 0.488 0.092
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.0000 0.86387 0.000 1.000 0.000 0.000 0.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 4 0.1728 0.58829 0.036 0.000 0.020 0.940 0.004
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 2 0.6651 -0.12875 0.336 0.428 0.236 0.000 0.000
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 4 0.4891 0.37275 0.000 0.000 0.044 0.640 0.316
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 4 0.4730 0.44629 0.000 0.000 0.052 0.688 0.260
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#> DBDFE95C-F941-407A-BE7D-D43D50143C4D 1 0.6637 0.26842 0.424 0.348 0.228 0.000 0.000
#> D024393C-29D0-41C4-AB86-7E94581FDD26 4 0.0703 0.57685 0.000 0.000 0.024 0.976 0.000
#> 4975AB35-93E5-400D-A429-CEA81BA89FFE 1 0.6009 0.17192 0.636 0.000 0.084 0.040 0.240
#> 666ADCA2-1AE4-4843-B1C8-8EE29C44AE74 1 0.4709 0.59680 0.612 0.000 0.364 0.024 0.000
#> A8F79C08-3943-4707-ADCB-890A955B5394 2 0.0000 0.86387 0.000 1.000 0.000 0.000 0.000
#> A81614ED-14CB-4EBC-988E-F67FBCBF62D8 3 0.6246 -0.14087 0.180 0.292 0.528 0.000 0.000
#> E27E65C8-5B57-4C91-9D20-C075AEA2F2C5 1 0.4219 0.59520 0.584 0.000 0.416 0.000 0.000
#> 745F18CA-080D-42FE-BAA6-89AD7E3D3408 3 0.6607 -0.00851 0.000 0.124 0.436 0.420 0.020
#> E755A625-799D-4A39-9D56-080228E0B669 1 0.1571 0.47342 0.936 0.000 0.060 0.004 0.000
#> 3D94EFB8-94D4-4FDE-97D8-18A159279996 1 0.7695 -0.26873 0.420 0.216 0.068 0.296 0.000
#> 3D305C2E-6C86-4684-AA2A-155291AB4CC3 1 0.5770 0.53434 0.532 0.000 0.372 0.000 0.096
#> E140052A-5434-4C44-9873-0318D1D272CA 2 0.1638 0.82728 0.064 0.932 0.000 0.004 0.000
#> 68E56692-D46D-4A27-86CD-717E10AADDDA 4 0.2377 0.52409 0.000 0.000 0.128 0.872 0.000
#> 00A0586E-5F05-47B3-925C-87E811B0893B 3 0.6706 0.11197 0.000 0.000 0.404 0.348 0.248
#> E2B019A7-7C95-40FE-800C-D30E9730825C 5 0.2423 0.70939 0.024 0.000 0.080 0.000 0.896
#> 1B9ABB69-5CC6-4B6B-ABBC-71CC3274C7F0 1 0.2053 0.45666 0.924 0.000 0.048 0.024 0.004
#> FAE396AA-3C3C-4AF9-953D-385C41B2DB5B 3 0.7683 0.28743 0.248 0.000 0.444 0.236 0.072
#> 6BE4397D-1E5B-4486-83B4-EE0EC146C805 2 0.3829 0.63604 0.000 0.776 0.028 0.196 0.000
#> EE38BD4E-5A08-4639-912F-04203F53762F 1 0.4450 0.54383 0.508 0.004 0.488 0.000 0.000
#> 4050E7F8-80B6-46F2-8FF0-D4EC313E975B 4 0.7868 0.14004 0.124 0.004 0.116 0.380 0.376
#> F3565161-FFBE-4138-9773-558DB386710C 1 0.5003 0.55702 0.544 0.000 0.424 0.000 0.032
#> BA9ABEB1-D3F0-4F09-A647-25211C47C3D0 2 0.0162 0.86392 0.000 0.996 0.000 0.004 0.000
#> 9E41E79A-4028-4F60-8250-411F191B665C 1 0.4045 0.61578 0.644 0.000 0.356 0.000 0.000
#> 5F1D3EFD-ECDA-4C92-8D81-491484F09C95 3 0.6607 0.15546 0.000 0.000 0.448 0.320 0.232
#> 0DBA04CB-417D-4E2B-BE83-3563F45291C4 1 0.3949 0.61701 0.668 0.000 0.332 0.000 0.000
#> B9B882A5-194B-4F5C-B702-0CF71CA6D9D2 4 0.5880 0.36875 0.128 0.304 0.000 0.568 0.000
#> 67FE7638-B8F5-4631-B178-AC23B0382983 5 0.4527 0.54436 0.064 0.000 0.204 0.000 0.732
#> FE03FC2C-9A4E-4F89-8681-E33DFECCC692 2 0.0865 0.85176 0.024 0.972 0.004 0.000 0.000
#> 2B22B4B7-8A39-435C-BE3B-86FA84C8F941 4 0.7673 0.03022 0.000 0.292 0.304 0.356 0.048
#> 00844B35-C108-4AEC-A687-4A91A2F33E6D 1 0.4166 0.61277 0.648 0.000 0.348 0.000 0.004
#> C221EE7A-6343-4B6D-B322-0A2C0F0B29AF 1 0.6273 0.42910 0.436 0.000 0.416 0.000 0.148
#> B28A6D56-7654-4829-BF1F-657C3C2C10D8 1 0.4235 0.57892 0.576 0.000 0.424 0.000 0.000
#> F4C7BCEC-3CD4-4D9A-89EA-0ED58EA0DCFE 5 0.1121 0.74206 0.000 0.000 0.044 0.000 0.956
#> F06FBFAB-D143-47AE-BEE7-51B48164764F 2 0.0000 0.86387 0.000 1.000 0.000 0.000 0.000
#> 525F522B-E865-4479-AE65-510903ABF46F 2 0.0162 0.86392 0.000 0.996 0.000 0.004 0.000
#> F0CB60E3-C412-46A2-918F-8C5C099AB224 5 0.1282 0.73719 0.000 0.000 0.004 0.044 0.952
#> 587F307F-6E1B-487E-8E47-A99AB43DC5B4 1 0.4491 0.14310 0.708 0.000 0.024 0.260 0.008
#> 883D9145-8414-4571-A3E1-516F03452C46 2 0.9010 -0.19678 0.268 0.296 0.128 0.036 0.272
#> 4A917271-7EA0-4F43-B474-7F5EA756EB05 1 0.4015 0.61621 0.652 0.000 0.348 0.000 0.000
#> BB33015D-218C-4A1E-8839-95837D6E9B88 1 0.1116 0.45793 0.964 0.000 0.028 0.004 0.004
#> 021CC81F-710D-4EEA-B1D8-012A81715ACC 1 0.1768 0.42257 0.924 0.000 0.000 0.072 0.004
#> B00C4925-47E3-4442-ABEB-82D714A26587 5 0.1701 0.72445 0.000 0.000 0.016 0.048 0.936
#> F79B27D3-0426-47BB-9756-7E0759246E5E 2 0.0290 0.86273 0.000 0.992 0.000 0.008 0.000
#> 1F179559-D93E-491C-B499-64F86C31DAE0 5 0.1732 0.72554 0.000 0.000 0.080 0.000 0.920
#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 5 0.0162 0.75305 0.000 0.000 0.004 0.000 0.996
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 1 0.3969 0.61366 0.692 0.000 0.304 0.000 0.004
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 1 0.2597 0.41693 0.884 0.000 0.024 0.000 0.092
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 2 0.0162 0.86300 0.000 0.996 0.000 0.000 0.004
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 1 0.1768 0.49850 0.924 0.000 0.072 0.000 0.004
#> ED9794C0-AC60-4B54-8214-D26714871BBF 1 0.4306 0.54214 0.508 0.000 0.492 0.000 0.000
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 4 0.5798 0.23568 0.000 0.036 0.328 0.592 0.044
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 2 0.0162 0.86392 0.000 0.996 0.000 0.004 0.000
#> 18D816AF-394A-482F-B22E-896A43B1E481 2 0.4297 0.14382 0.000 0.528 0.000 0.000 0.472
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 1 0.4455 0.60272 0.588 0.000 0.404 0.008 0.000
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 4 0.1197 0.57847 0.000 0.000 0.048 0.952 0.000
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 2 0.2424 0.76358 0.000 0.868 0.000 0.132 0.000
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 4 0.7056 -0.06590 0.016 0.000 0.224 0.400 0.360
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 4 0.6805 -0.15617 0.000 0.000 0.344 0.360 0.296
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 2 0.5614 0.55623 0.000 0.676 0.096 0.024 0.204
#> 7E809698-2473-4EFE-B896-1637983EC596 4 0.6511 0.03570 0.000 0.164 0.404 0.428 0.004
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 4 0.5409 0.30657 0.000 0.000 0.316 0.604 0.080
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 4 0.6785 -0.08505 0.000 0.000 0.360 0.360 0.280
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 2 0.4030 0.43297 0.000 0.648 0.000 0.352 0.000
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.4306 0.54214 0.508 0.000 0.492 0.000 0.000
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 3 0.4452 -0.54388 0.496 0.004 0.500 0.000 0.000
#> 73F28A79-7D35-4FE9-849D-FFE681483928 5 0.6526 0.02303 0.000 0.000 0.204 0.344 0.452
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 1 0.4306 0.53943 0.508 0.000 0.492 0.000 0.000
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 4 0.4127 0.53709 0.312 0.000 0.008 0.680 0.000
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 1 0.3876 0.61883 0.684 0.000 0.316 0.000 0.000
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.3395 0.64219 0.000 0.764 0.000 0.236 0.000
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.4256 0.58644 0.564 0.000 0.436 0.000 0.000
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 1 0.4138 0.60256 0.616 0.000 0.384 0.000 0.000
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 3 0.6581 -0.14350 0.224 0.000 0.452 0.000 0.324
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 1 0.3816 0.62007 0.696 0.000 0.304 0.000 0.000
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 4 0.5589 0.23118 0.000 0.000 0.372 0.548 0.080
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.4294 0.56592 0.532 0.000 0.468 0.000 0.000
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.0000 0.86387 0.000 1.000 0.000 0.000 0.000
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 3 0.6616 0.14410 0.000 0.000 0.432 0.344 0.224
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.5673 0.49291 0.216 0.628 0.156 0.000 0.000
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 2 0.6838 0.23754 0.000 0.536 0.136 0.284 0.044
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 4 0.3534 0.55819 0.256 0.000 0.000 0.744 0.000
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 3 0.4359 -0.48617 0.412 0.000 0.584 0.004 0.000
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 4 0.0510 0.57927 0.000 0.000 0.016 0.984 0.000
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.4307 0.54224 0.504 0.000 0.496 0.000 0.000
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.6181 0.11625 0.012 0.000 0.536 0.344 0.108
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.1341 0.51021 0.944 0.000 0.056 0.000 0.000
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.4686 0.59467 0.596 0.020 0.384 0.000 0.000
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.1965 0.53314 0.904 0.000 0.096 0.000 0.000
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.0510 0.85952 0.000 0.984 0.000 0.016 0.000
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 5 0.3550 0.53822 0.000 0.000 0.236 0.004 0.760
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.4971 0.51544 0.504 0.000 0.472 0.020 0.004
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 5 0.1571 0.73374 0.004 0.000 0.060 0.000 0.936
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 3 0.4450 -0.54167 0.488 0.004 0.508 0.000 0.000
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 3 0.6109 0.17348 0.000 0.000 0.532 0.320 0.148
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 4 0.3932 0.39533 0.000 0.328 0.000 0.672 0.000
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 3 0.5733 0.20749 0.000 0.000 0.608 0.136 0.256
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 4 0.0703 0.58652 0.024 0.000 0.000 0.976 0.000
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 4 0.0609 0.57822 0.000 0.000 0.020 0.980 0.000
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 4 0.3774 0.54354 0.296 0.000 0.000 0.704 0.000
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.4138 0.61089 0.616 0.000 0.384 0.000 0.000
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.4452 0.53603 0.500 0.004 0.496 0.000 0.000
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 5 0.0404 0.75117 0.000 0.000 0.012 0.000 0.988
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.0162 0.86392 0.000 0.996 0.000 0.004 0.000
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.0000 0.86387 0.000 1.000 0.000 0.000 0.000
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 4 0.4114 0.40573 0.000 0.000 0.244 0.732 0.024
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 4 0.4697 0.33271 0.000 0.012 0.360 0.620 0.008
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.4541 0.45059 0.032 0.680 0.288 0.000 0.000
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 4 0.3796 0.54173 0.300 0.000 0.000 0.700 0.000
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 4 0.3876 0.53389 0.316 0.000 0.000 0.684 0.000
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 2 0.5968 0.35809 0.372 0.544 0.028 0.056 0.000
#> CA356591-D24F-41A8-8C9A-1178C7781510 4 0.0162 0.58205 0.000 0.000 0.004 0.996 0.000
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 5 0.0000 0.75389 0.000 0.000 0.000 0.000 1.000
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.3949 0.61701 0.668 0.000 0.332 0.000 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 6 0.3797 0.192208 0.000 0.000 0.000 0.420 0.000 0.580
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 6 0.7320 0.231455 0.064 0.224 0.012 0.032 0.160 0.508
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 4 0.3097 0.638912 0.060 0.000 0.012 0.864 0.012 0.052
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.0000 0.876976 0.000 1.000 0.000 0.000 0.000 0.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 6 0.4351 0.222363 0.000 0.000 0.008 0.416 0.012 0.564
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 5 0.3017 0.633556 0.052 0.108 0.000 0.000 0.840 0.000
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 6 0.5960 0.176053 0.000 0.000 0.284 0.228 0.004 0.484
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 6 0.5315 0.095000 0.000 0.000 0.064 0.416 0.016 0.504
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.0000 0.876976 0.000 1.000 0.000 0.000 0.000 0.000
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.0000 0.876976 0.000 1.000 0.000 0.000 0.000 0.000
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.0000 0.876976 0.000 1.000 0.000 0.000 0.000 0.000
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 4 0.3072 0.610757 0.000 0.000 0.036 0.836 0.124 0.004
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.4568 0.487527 0.688 0.000 0.000 0.004 0.080 0.228
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.0508 0.871106 0.004 0.984 0.000 0.012 0.000 0.000
#> ECB2DF14-CF68-44D4-8719-973AE448B992 3 0.0547 0.870143 0.000 0.000 0.980 0.020 0.000 0.000
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 6 0.5530 0.272386 0.000 0.000 0.000 0.220 0.220 0.560
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 3 0.2437 0.808216 0.000 0.000 0.888 0.036 0.072 0.004
#> 3282F146-2782-4877-9EFE-6020AC277A8C 6 0.3907 0.207476 0.000 0.000 0.000 0.408 0.004 0.588
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 3 0.0935 0.864755 0.000 0.000 0.964 0.032 0.004 0.000
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 5 0.5757 0.354688 0.000 0.324 0.152 0.008 0.516 0.000
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.0000 0.876976 0.000 1.000 0.000 0.000 0.000 0.000
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 5 0.5747 0.193109 0.012 0.392 0.024 0.064 0.508 0.000
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.0000 0.876976 0.000 1.000 0.000 0.000 0.000 0.000
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 5 0.2633 0.645193 0.112 0.000 0.020 0.004 0.864 0.000
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 3 0.1075 0.859019 0.000 0.000 0.952 0.048 0.000 0.000
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 4 0.3497 0.604588 0.000 0.000 0.036 0.800 0.156 0.008
#> C945DDA9-0194-46F4-89E2-13883284D5A4 4 0.3287 0.515246 0.000 0.000 0.000 0.768 0.012 0.220
#> 79B11925-9772-474F-A729-D00315959710 5 0.3971 0.131411 0.448 0.000 0.000 0.004 0.548 0.000
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 6 0.5428 0.309655 0.000 0.252 0.000 0.176 0.000 0.572
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 5 0.2822 0.680954 0.056 0.000 0.076 0.004 0.864 0.000
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 3 0.0458 0.870860 0.000 0.000 0.984 0.016 0.000 0.000
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 3 0.0458 0.864978 0.000 0.000 0.984 0.000 0.016 0.000
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 4 0.4644 0.537773 0.016 0.196 0.000 0.708 0.080 0.000
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 2 0.6499 0.046107 0.168 0.452 0.028 0.008 0.344 0.000
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 4 0.2034 0.634176 0.004 0.000 0.044 0.920 0.024 0.008
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#> 745F18CA-080D-42FE-BAA6-89AD7E3D3408 4 0.3884 0.629362 0.088 0.036 0.000 0.820 0.024 0.032
#> E755A625-799D-4A39-9D56-080228E0B669 1 0.6002 0.309992 0.488 0.000 0.004 0.012 0.148 0.348
#> 3D94EFB8-94D4-4FDE-97D8-18A159279996 6 0.8166 0.243912 0.044 0.276 0.012 0.104 0.188 0.376
#> 3D305C2E-6C86-4684-AA2A-155291AB4CC3 5 0.5723 0.445852 0.284 0.000 0.108 0.004 0.580 0.024
#> E140052A-5434-4C44-9873-0318D1D272CA 2 0.1556 0.826848 0.000 0.920 0.000 0.000 0.000 0.080
#> 68E56692-D46D-4A27-86CD-717E10AADDDA 4 0.3804 0.190134 0.000 0.000 0.000 0.576 0.000 0.424
#> 00A0586E-5F05-47B3-925C-87E811B0893B 4 0.4305 0.544047 0.004 0.000 0.048 0.692 0.256 0.000
#> E2B019A7-7C95-40FE-800C-D30E9730825C 3 0.4135 0.183046 0.008 0.000 0.584 0.004 0.404 0.000
#> 1B9ABB69-5CC6-4B6B-ABBC-71CC3274C7F0 5 0.5464 0.348178 0.144 0.000 0.004 0.004 0.596 0.252
#> FAE396AA-3C3C-4AF9-953D-385C41B2DB5B 1 0.3846 0.550029 0.784 0.000 0.048 0.152 0.016 0.000
#> 6BE4397D-1E5B-4486-83B4-EE0EC146C805 2 0.4251 0.668368 0.152 0.748 0.000 0.092 0.008 0.000
#> EE38BD4E-5A08-4639-912F-04203F53762F 1 0.1297 0.638645 0.948 0.000 0.000 0.012 0.040 0.000
#> 4050E7F8-80B6-46F2-8FF0-D4EC313E975B 3 0.6374 0.469408 0.000 0.012 0.584 0.124 0.072 0.208
#> F3565161-FFBE-4138-9773-558DB386710C 5 0.3617 0.567501 0.244 0.000 0.020 0.000 0.736 0.000
#> BA9ABEB1-D3F0-4F09-A647-25211C47C3D0 2 0.0000 0.876976 0.000 1.000 0.000 0.000 0.000 0.000
#> 9E41E79A-4028-4F60-8250-411F191B665C 1 0.4009 0.346898 0.632 0.000 0.000 0.004 0.356 0.008
#> 5F1D3EFD-ECDA-4C92-8D81-491484F09C95 4 0.4807 0.548909 0.212 0.000 0.092 0.684 0.012 0.000
#> 0DBA04CB-417D-4E2B-BE83-3563F45291C4 1 0.5783 0.217731 0.492 0.000 0.004 0.004 0.360 0.140
#> B9B882A5-194B-4F5C-B702-0CF71CA6D9D2 2 0.5572 0.135509 0.000 0.504 0.000 0.016 0.092 0.388
#> 67FE7638-B8F5-4631-B178-AC23B0382983 3 0.4498 0.014742 0.024 0.000 0.544 0.004 0.428 0.000
#> FE03FC2C-9A4E-4F89-8681-E33DFECCC692 2 0.1588 0.831660 0.072 0.924 0.000 0.000 0.000 0.004
#> 2B22B4B7-8A39-435C-BE3B-86FA84C8F941 4 0.2633 0.616260 0.000 0.112 0.020 0.864 0.000 0.004
#> 00844B35-C108-4AEC-A687-4A91A2F33E6D 5 0.4272 0.433295 0.292 0.000 0.012 0.004 0.676 0.016
#> C221EE7A-6343-4B6D-B322-0A2C0F0B29AF 5 0.3423 0.672319 0.088 0.000 0.100 0.000 0.812 0.000
#> B28A6D56-7654-4829-BF1F-657C3C2C10D8 5 0.2593 0.639644 0.148 0.000 0.008 0.000 0.844 0.000
#> F4C7BCEC-3CD4-4D9A-89EA-0ED58EA0DCFE 3 0.0820 0.867878 0.000 0.000 0.972 0.016 0.012 0.000
#> F06FBFAB-D143-47AE-BEE7-51B48164764F 2 0.0146 0.875658 0.000 0.996 0.004 0.000 0.000 0.000
#> 525F522B-E865-4479-AE65-510903ABF46F 2 0.0865 0.859745 0.000 0.964 0.000 0.036 0.000 0.000
#> F0CB60E3-C412-46A2-918F-8C5C099AB224 3 0.0717 0.864571 0.000 0.000 0.976 0.000 0.008 0.016
#> 587F307F-6E1B-487E-8E47-A99AB43DC5B4 6 0.6540 0.232310 0.148 0.000 0.016 0.056 0.224 0.556
#> 883D9145-8414-4571-A3E1-516F03452C46 5 0.3011 0.678614 0.008 0.016 0.104 0.016 0.856 0.000
#> 4A917271-7EA0-4F43-B474-7F5EA756EB05 1 0.4315 0.344452 0.624 0.000 0.000 0.004 0.348 0.024
#> BB33015D-218C-4A1E-8839-95837D6E9B88 6 0.6847 -0.145366 0.336 0.000 0.012 0.032 0.216 0.404
#> 021CC81F-710D-4EEA-B1D8-012A81715ACC 6 0.6788 -0.020112 0.268 0.000 0.016 0.028 0.232 0.456
#> B00C4925-47E3-4442-ABEB-82D714A26587 3 0.1556 0.835200 0.000 0.000 0.920 0.080 0.000 0.000
#> F79B27D3-0426-47BB-9756-7E0759246E5E 2 0.0000 0.876976 0.000 1.000 0.000 0.000 0.000 0.000
#> 1F179559-D93E-491C-B499-64F86C31DAE0 3 0.2255 0.809542 0.000 0.000 0.892 0.028 0.080 0.000
#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 3 0.0363 0.870703 0.000 0.000 0.988 0.012 0.000 0.000
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 1 0.6828 0.257432 0.436 0.000 0.012 0.032 0.236 0.284
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 5 0.7279 0.000504 0.240 0.000 0.036 0.032 0.376 0.316
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 2 0.0146 0.875741 0.000 0.996 0.004 0.000 0.000 0.000
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 5 0.5407 0.336677 0.216 0.000 0.008 0.004 0.624 0.148
#> ED9794C0-AC60-4B54-8214-D26714871BBF 1 0.0777 0.640379 0.972 0.000 0.000 0.004 0.024 0.000
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 4 0.6397 0.459446 0.152 0.000 0.008 0.560 0.056 0.224
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 2 0.0000 0.876976 0.000 1.000 0.000 0.000 0.000 0.000
#> 18D816AF-394A-482F-B22E-896A43B1E481 3 0.3101 0.633785 0.000 0.244 0.756 0.000 0.000 0.000
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 1 0.4466 0.297842 0.612 0.000 0.000 0.004 0.352 0.032
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 4 0.4221 0.145841 0.000 0.000 0.008 0.588 0.008 0.396
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 2 0.3012 0.673591 0.000 0.796 0.000 0.196 0.000 0.008
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 4 0.4978 0.233426 0.000 0.000 0.072 0.532 0.396 0.000
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 4 0.4570 0.531633 0.000 0.000 0.092 0.680 0.228 0.000
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 2 0.5827 0.539160 0.000 0.644 0.064 0.176 0.108 0.008
#> 7E809698-2473-4EFE-B896-1637983EC596 4 0.3911 0.628400 0.108 0.028 0.008 0.816 0.016 0.024
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 4 0.2631 0.618569 0.000 0.000 0.044 0.876 0.004 0.076
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 4 0.2212 0.634039 0.000 0.000 0.112 0.880 0.000 0.008
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 2 0.3830 0.385359 0.000 0.620 0.000 0.004 0.000 0.376
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.1003 0.637158 0.964 0.000 0.000 0.020 0.016 0.000
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.1418 0.632674 0.944 0.000 0.000 0.032 0.024 0.000
#> 73F28A79-7D35-4FE9-849D-FFE681483928 4 0.3983 0.501899 0.004 0.000 0.348 0.640 0.000 0.008
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 1 0.1155 0.635651 0.956 0.000 0.000 0.004 0.036 0.004
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 6 0.2251 0.515350 0.000 0.000 0.008 0.052 0.036 0.904
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 1 0.5032 0.170599 0.512 0.000 0.008 0.008 0.436 0.036
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.3547 0.539643 0.000 0.696 0.000 0.004 0.000 0.300
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.2946 0.564936 0.808 0.000 0.000 0.004 0.184 0.004
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 5 0.2593 0.636525 0.148 0.000 0.000 0.008 0.844 0.000
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 5 0.3343 0.673180 0.032 0.000 0.128 0.016 0.824 0.000
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 1 0.6171 0.241505 0.428 0.000 0.004 0.004 0.216 0.348
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 4 0.1794 0.632150 0.000 0.000 0.036 0.924 0.000 0.040
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.1493 0.636639 0.936 0.000 0.000 0.004 0.056 0.004
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.0000 0.876976 0.000 1.000 0.000 0.000 0.000 0.000
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 4 0.4006 0.624679 0.096 0.000 0.084 0.792 0.028 0.000
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 1 0.6502 0.391599 0.576 0.260 0.008 0.064 0.040 0.052
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 2 0.5409 -0.065479 0.000 0.468 0.020 0.448 0.000 0.064
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 6 0.2730 0.453178 0.000 0.000 0.000 0.192 0.000 0.808
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 5 0.5140 0.290883 0.360 0.000 0.000 0.052 0.568 0.020
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 6 0.3782 0.207205 0.000 0.000 0.000 0.412 0.000 0.588
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.1074 0.638388 0.960 0.000 0.000 0.012 0.028 0.000
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 4 0.4531 0.493878 0.272 0.000 0.044 0.672 0.012 0.000
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.6503 0.122725 0.368 0.000 0.004 0.012 0.340 0.276
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 5 0.5497 0.321029 0.308 0.124 0.000 0.000 0.560 0.008
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 5 0.5723 0.144499 0.320 0.000 0.004 0.012 0.544 0.120
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.0260 0.874086 0.000 0.992 0.000 0.000 0.000 0.008
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 3 0.2562 0.736469 0.000 0.000 0.828 0.172 0.000 0.000
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.1480 0.638326 0.940 0.000 0.000 0.040 0.020 0.000
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 3 0.1196 0.855212 0.000 0.000 0.952 0.008 0.040 0.000
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.1633 0.632644 0.932 0.000 0.000 0.024 0.044 0.000
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 4 0.3469 0.623073 0.132 0.000 0.032 0.816 0.020 0.000
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 6 0.5486 0.297813 0.000 0.208 0.000 0.224 0.000 0.568
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 4 0.6286 0.383223 0.172 0.000 0.044 0.528 0.256 0.000
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 6 0.3965 0.235317 0.000 0.000 0.000 0.388 0.008 0.604
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 6 0.4010 0.207237 0.000 0.000 0.000 0.408 0.008 0.584
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 6 0.1910 0.499234 0.000 0.000 0.000 0.108 0.000 0.892
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 5 0.3996 0.026111 0.484 0.000 0.000 0.004 0.512 0.000
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.1257 0.635954 0.952 0.000 0.000 0.020 0.028 0.000
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 3 0.0547 0.869872 0.000 0.000 0.980 0.020 0.000 0.000
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.0000 0.876976 0.000 1.000 0.000 0.000 0.000 0.000
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.0000 0.876976 0.000 1.000 0.000 0.000 0.000 0.000
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 4 0.3617 0.504661 0.000 0.000 0.000 0.736 0.020 0.244
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 4 0.2257 0.599095 0.000 0.000 0.008 0.876 0.000 0.116
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.3786 0.650983 0.064 0.768 0.000 0.000 0.168 0.000
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 6 0.0937 0.518405 0.000 0.000 0.000 0.040 0.000 0.960
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 6 0.0713 0.519440 0.000 0.000 0.000 0.028 0.000 0.972
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 2 0.7165 0.037079 0.064 0.416 0.008 0.056 0.064 0.392
#> CA356591-D24F-41A8-8C9A-1178C7781510 6 0.3765 0.222199 0.000 0.000 0.000 0.404 0.000 0.596
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.0458 0.870860 0.000 0.000 0.984 0.016 0.000 0.000
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.4584 0.121111 0.520 0.000 0.004 0.004 0.452 0.020
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["MAD", "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 17888 rows and 430 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 0.0556 0.572 0.749 0.4228 0.630 0.630
#> 3 3 0.1057 0.486 0.668 0.4242 0.650 0.471
#> 4 4 0.2191 0.385 0.637 0.1254 0.882 0.701
#> 5 5 0.2785 0.357 0.600 0.0630 0.933 0.806
#> 6 6 0.3394 0.366 0.586 0.0512 0.882 0.640
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
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 1 0.9996 0.25243 0.512 0.488
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 1 0.9635 0.57799 0.612 0.388
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 2 0.9044 0.47075 0.320 0.680
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.0376 0.70171 0.004 0.996
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 2 0.9922 0.12147 0.448 0.552
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 2 0.5408 0.71419 0.124 0.876
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 2 0.9896 0.08699 0.440 0.560
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 2 0.8267 0.59288 0.260 0.740
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.1633 0.70693 0.024 0.976
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.2043 0.70863 0.032 0.968
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.5946 0.71599 0.144 0.856
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 1 0.5737 0.74938 0.864 0.136
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 2 0.9732 0.38309 0.404 0.596
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.2778 0.70914 0.048 0.952
#> ECB2DF14-CF68-44D4-8719-973AE448B992 2 0.8763 0.65311 0.296 0.704
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 2 0.8443 0.58699 0.272 0.728
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 1 0.5178 0.72837 0.884 0.116
#> 3282F146-2782-4877-9EFE-6020AC277A8C 2 0.9775 0.24217 0.412 0.588
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 2 0.9944 0.15269 0.456 0.544
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 2 0.6712 0.69437 0.176 0.824
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.4022 0.71396 0.080 0.920
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 2 0.9993 0.09703 0.484 0.516
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.0376 0.70171 0.004 0.996
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 2 0.9686 0.42700 0.396 0.604
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 1 0.8661 0.66594 0.712 0.288
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 2 0.9833 0.34213 0.424 0.576
#> C945DDA9-0194-46F4-89E2-13883284D5A4 1 0.7139 0.73820 0.804 0.196
#> 79B11925-9772-474F-A729-D00315959710 2 0.6247 0.64834 0.156 0.844
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 2 0.4022 0.70777 0.080 0.920
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 2 0.9635 0.43976 0.388 0.612
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 2 0.9710 0.38028 0.400 0.600
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 2 0.8267 0.67632 0.260 0.740
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.6623 0.67905 0.172 0.828
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 2 0.9635 0.43798 0.388 0.612
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 1 0.7219 0.75231 0.800 0.200
#> 26796E5F-C0C2-466C-9012-882F6D29C149 2 0.9775 0.30181 0.412 0.588
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 2 0.9608 0.44900 0.384 0.616
#> 1492D21A-6458-4B49-B530-7A327FCDD031 2 0.6973 0.69645 0.188 0.812
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 2 0.8081 0.63034 0.248 0.752
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 2 0.9248 0.49579 0.340 0.660
#> B823982D-4102-4D21-B9CB-8C42830784F4 2 0.7674 0.69357 0.224 0.776
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 2 0.9608 0.44431 0.384 0.616
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.2043 0.70773 0.032 0.968
#> E846120D-D9E6-46F8-9647-2272AB064072 2 0.9954 0.31747 0.460 0.540
#> 36880C8C-91A9-49A9-A2D5-957161737F31 2 0.3879 0.68977 0.076 0.924
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.0672 0.70414 0.008 0.992
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 2 0.2423 0.71135 0.040 0.960
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 2 0.9580 0.45328 0.380 0.620
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 2 0.8555 0.65017 0.280 0.720
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 2 0.2236 0.70964 0.036 0.964
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 1 0.5842 0.74376 0.860 0.140
#> 116F3F29-AB89-4F00-9003-559041E285EB 2 1.0000 -0.19652 0.500 0.500
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.3879 0.68977 0.076 0.924
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 2 0.9954 0.19939 0.460 0.540
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 2 0.6343 0.68960 0.160 0.840
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 2 0.9909 0.25212 0.444 0.556
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 2 0.5519 0.66881 0.128 0.872
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 2 0.6801 0.66763 0.180 0.820
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 2 0.8955 0.44657 0.312 0.688
#> 299CB633-58A3-4275-BC08-E6F3669C365A 2 0.6148 0.64266 0.152 0.848
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 1 0.6048 0.75556 0.852 0.148
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.0376 0.70171 0.004 0.996
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 1 0.7376 0.75181 0.792 0.208
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 2 0.9552 0.49484 0.376 0.624
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 2 0.8608 0.57354 0.284 0.716
#> CD576099-5450-4232-9B59-08341BED8FFA 2 0.6973 0.66814 0.188 0.812
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 2 0.6148 0.69105 0.152 0.848
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 2 0.6712 0.64851 0.176 0.824
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 2 0.6048 0.64393 0.148 0.852
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 2 0.4690 0.70136 0.100 0.900
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 2 0.9775 0.24711 0.412 0.588
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 1 0.7745 0.73924 0.772 0.228
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 2 0.6148 0.64266 0.152 0.848
#> 57E380FC-B6AB-466F-9936-D52192888008 2 0.6623 0.71132 0.172 0.828
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 1 0.9491 0.53293 0.632 0.368
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 2 0.6148 0.64266 0.152 0.848
#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 2 0.7674 0.63709 0.224 0.776
#> 1D4F0B66-720D-484D-B8D5-2B290ED208A8 1 0.7745 0.73924 0.772 0.228
#> C886CA33-5080-4E3E-88A2-F9A3CF03A857 1 0.6801 0.73849 0.820 0.180
#> 9AC963E4-F82D-460E-9CAD-C651B879780A 2 0.7219 0.66305 0.200 0.800
#> 1B6CF403-D0AE-4FFE-A884-660A58F32660 2 0.9866 0.14991 0.432 0.568
#> B33316E1-11FD-4C10-956A-C9C6F78508C5 2 0.7139 0.67429 0.196 0.804
#> BB02EF6A-C57D-4A79-99C1-ED43A72FFAF7 2 0.3114 0.70960 0.056 0.944
#> 4DBA59AD-9393-4BE6-88CB-852C62C4A334 1 0.5946 0.74346 0.856 0.144
#> 7887EDC4-A0D7-4E57-B3A1-330A5683457D 2 0.9686 0.39168 0.396 0.604
#> 2CD3AC14-46FB-4260-AE5C-4305C68D49BC 2 0.7139 0.66145 0.196 0.804
#> BAB8FA79-208A-488D-B955-806263E5D6BB 2 0.9896 0.13818 0.440 0.560
#> 98C990E7-7E3B-4200-A88D-E641931302EA 2 0.6438 0.64325 0.164 0.836
#> 894EE382-5ACA-4DEB-9267-99ADBEF6DA19 2 0.8608 0.55492 0.284 0.716
#> 98795F95-D26D-438A-AF46-B3BC3553F020 1 0.8144 0.73713 0.748 0.252
#> 9AD4C328-1554-4C92-931C-30CE8F305FDE 2 0.3879 0.68977 0.076 0.924
#> 4D1518D9-D968-4E7F-A702-5157A1A2E83E 2 0.6973 0.69177 0.188 0.812
#> A6E8AF8C-5D7B-4197-990B-786A869ACB96 2 0.7745 0.65358 0.228 0.772
#> DF8B4E19-8C78-4A68-8FAE-DFF01076BC97 2 0.9944 -0.04201 0.456 0.544
#> 8D2C608F-3280-4CA2-B996-9AE3DBDBBD28 2 0.9983 -0.17769 0.476 0.524
#> E7BCBD8D-1219-4A99-948A-47A258A5CD8B 2 0.8207 0.59664 0.256 0.744
#> 2C9633A5-8ACB-4D16-8120-F098BA14BB04 2 0.2778 0.71177 0.048 0.952
#> 985D9304-E4DA-4038-B235-067CBFEAC902 2 0.0376 0.70171 0.004 0.996
#> D34CE243-6F4F-4158-9FC4-77E1640E8A91 2 0.0672 0.70332 0.008 0.992
#> 65131575-48D3-42C2-B411-3DB871EF5EE1 2 0.9491 0.46464 0.368 0.632
#> 1AE13DFA-670C-43EE-9898-8FA831AEDDB3 1 0.6531 0.74157 0.832 0.168
#> 3ACDCD29-1B8D-455D-9EE9-D6C903B16D09 2 0.9732 0.37116 0.404 0.596
#> C6FBC35B-0113-4F00-BE1A-831D2C551055 2 0.9427 0.52743 0.360 0.640
#> A8F3285D-A85E-4E73-9D20-9D14AA51916B 1 0.6438 0.74230 0.836 0.164
#> 51601A73-2D75-4056-AEBB-8FF8DB813450 1 0.4939 0.73734 0.892 0.108
#> 75021778-A96B-4F57-8C26-68E8F33D7EB7 2 0.8763 0.58376 0.296 0.704
#> 71FFB439-22A1-4EBB-AEA6-A6BCA8CA6648 1 0.7219 0.75231 0.800 0.200
#> BEDB0135-0A26-44EF-9028-C4907403B110 1 0.7602 0.72417 0.780 0.220
#> 3B8BA56B-0E7B-4754-8729-8D613D0484E1 2 0.6148 0.64441 0.152 0.848
#> 100BF963-6103-45E6-A760-E44649580CF5 2 0.8955 0.51184 0.312 0.688
#> C26F21EA-5911-483F-BF64-03904BF93A20 2 0.6247 0.69668 0.156 0.844
#> 9E50162D-8149-41D2-86C1-1C892EB98DFA 2 0.9209 0.53429 0.336 0.664
#> 09521B29-B002-4AAD-93F1-6E600DD31515 2 0.3114 0.71148 0.056 0.944
#> 45FD44A6-7976-4453-BD3F-99D21DA3ECC2 1 0.9998 -0.15734 0.508 0.492
#> 9EE0976F-1422-4F65-8837-93A192984CDF 1 0.5178 0.74261 0.884 0.116
#> 2FBAA1AA-39F7-4C58-A7DA-76B1F4B26B2E 2 0.0672 0.70332 0.008 0.992
#> B7A695A4-0B74-41E9-8662-4010C8CA38F0 2 0.9732 0.37116 0.404 0.596
#> E9013476-D037-41EA-921E-E9E62E93B75C 2 0.8267 0.62451 0.260 0.740
#> 13FD88E9-3B06-4CB6-949F-395DDDE4B75B 2 0.8327 0.63370 0.264 0.736
#> 9103E60E-D1FC-4F0F-B2CD-751921E14EBA 1 0.5294 0.74594 0.880 0.120
#> 4AEFB9F1-A55D-472E-A963-5BB3364D9D8C 2 0.5408 0.70119 0.124 0.876
#> 05B80211-2230-436E-BA34-FD48337A5DE0 2 0.4562 0.71634 0.096 0.904
#> 6B206166-85BC-4A1A-BDD2-B249652FC09E 2 0.8608 0.66605 0.284 0.716
#> 3EA60F08-5232-4A97-A656-2A0A2F5CED07 1 0.9815 0.52991 0.580 0.420
#> 9C55C086-682B-4D21-9C77-085CFE45A07E 2 0.8267 0.65007 0.260 0.740
#> B0CE5521-96E9-4087-89EE-309D785C0F96 2 0.9754 0.10473 0.408 0.592
#> 6BF76FE6-F1DA-48F2-B55D-CB106905EA8F 2 0.9944 -0.08730 0.456 0.544
#> D2ECDADA-9D0D-4044-8C61-353CCE45C0E6 2 0.8499 0.64395 0.276 0.724
#> 9565D04D-EC61-4EF8-8519-0D84CFB0C794 2 0.2603 0.70853 0.044 0.956
#> EBAFE057-B387-4D2B-8D91-25C83221816D 2 0.6801 0.67318 0.180 0.820
#> 2CDB897D-ABAF-4EBB-837C-05CC7691D20E 2 0.9323 0.49756 0.348 0.652
#> FD2F4E8A-F89C-4016-B275-13FC6B4121E9 2 0.6148 0.68926 0.152 0.848
#> 1E27DDFF-D487-4CBF-80BC-506CC7C7C74D 2 0.9850 0.16699 0.428 0.572
#> 1DD990EF-74A8-4503-B801-C01D6C171E2E 2 0.2948 0.71071 0.052 0.948
#> 4D2DF3FF-343A-4D29-9230-015131B45BD2 2 0.3274 0.70757 0.060 0.940
#> B9949248-D762-4591-B8D6-C296C2B28D8C 1 0.9954 0.43556 0.540 0.460
#> 2D839843-4C8D-400D-8EFF-2BF9B94A27AA 1 0.9775 0.38939 0.588 0.412
#> 78C429CC-D631-43EA-9049-DAC326C98BDD 2 0.6623 0.67512 0.172 0.828
#> 71241674-DF93-4CA0-A81D-AF85B6479F62 2 0.9833 0.20520 0.424 0.576
#> 76277FC9-E447-49A4-9407-81917C90ECBD 2 0.7950 0.66071 0.240 0.760
#> 79DE0216-2CBB-4057-AC90-0366A494F106 2 0.6247 0.70314 0.156 0.844
#> 3B842084-AE30-4666-B80A-8FA36EF628F3 2 0.8443 0.67162 0.272 0.728
#> 57200367-96F1-48B9-AB7F-DC11EFE866C4 1 0.8499 0.71451 0.724 0.276
#> 219B7654-6065-41D3-964B-C829364CD87B 1 0.9248 0.65075 0.660 0.340
#> 26923D9B-CE8E-400E-93CD-E0EE1401CB9D 2 0.8267 0.61876 0.260 0.740
#> 21B783EB-B0D0-4B28-9468-D0B130D13E26 1 0.9988 0.22597 0.520 0.480
#> 67D465A4-8068-4325-ABC5-5917B7D726BB 2 0.2236 0.70692 0.036 0.964
#> 30A8ABA0-ECB4-4B44-9630-5FFF862A157F 2 0.0672 0.70322 0.008 0.992
#> 71040F61-834D-4A75-960D-5DABBCADD3A0 2 0.6623 0.65240 0.172 0.828
#> A4EC5E62-AF75-435A-903F-D35B171CEA2C 2 0.0376 0.70171 0.004 0.996
#> 2F6A0808-8F01-4721-938D-F1FC7C5D8357 1 0.7139 0.75008 0.804 0.196
#> F1A142BF-9737-442D-B9A1-AA03958916D8 2 1.0000 -0.17928 0.496 0.504
#> 2DC1CF96-6822-412A-B002-3DC1239D17A7 1 0.9635 0.55255 0.612 0.388
#> 9C57AC2A-83C8-41EB-8DC3-9A897D8F8110 2 0.4562 0.71787 0.096 0.904
#> D22198BE-2B03-4A06-9EB6-696B67E8CEFB 1 0.6343 0.75515 0.840 0.160
#> 68BACBAD-DC56-4ADF-BB44-86750A866657 2 0.4690 0.68410 0.100 0.900
#> 7DFBA494-6746-4FF7-9948-FC9BA297F499 2 0.1633 0.70783 0.024 0.976
#> 00B39945-A227-46EB-B737-27D12370FE6A 2 0.9000 0.50152 0.316 0.684
#> 6FA15950-94D4-4D46-A0E5-45D899089443 2 0.8763 0.55366 0.296 0.704
#> DE451B99-D33B-4A35-BB0E-AAED631B56C3 2 0.8763 0.55366 0.296 0.704
#> 1DE68F26-5F22-4B90-A0F4-4775865D5E35 2 0.8267 0.67427 0.260 0.740
#> 7E84698B-0394-4498-A8D4-F3F96F49E669 2 0.0376 0.70171 0.004 0.996
#> D29F2335-9151-406E-8C3A-58AA99B7EB69 2 0.9977 0.17510 0.472 0.528
#> 92CEB4B5-0400-45DD-9DEE-E988CB4BB76D 1 0.9000 0.66322 0.684 0.316
#> 1848D6A6-9725-46BA-A953-CE76F6CC7684 2 0.6623 0.71426 0.172 0.828
#> F0B60FEF-0246-412D-8E1D-50E4A5F7790A 2 0.8555 0.65017 0.280 0.720
#> 763F284D-B99A-4646-A84C-5EFB15C07376 2 0.9580 0.45328 0.380 0.620
#> 994BE7F6-D486-4E45-9C4F-7AA200B04AED 2 0.8144 0.67369 0.252 0.748
#> 54C0AB23-0161-4346-AF6D-466B68B5AB79 2 0.8327 0.67606 0.264 0.736
#> 7A48C8F9-C13C-42AA-B7D2-C7618C6F81AA 2 0.0376 0.70171 0.004 0.996
#> 54C21CDF-5B83-4F88-8B00-6458A171BCE8 2 0.8861 0.64298 0.304 0.696
#> 063AEE90-0DBB-4B0F-A7F3-DE0600DEA9AD 2 0.9460 0.47391 0.364 0.636
#> 54B452B4-B06A-433F-A627-B2D2AFE048FE 2 0.8763 0.57463 0.296 0.704
#> 876D3927-036E-4BF9-AA43-DC1CAF39F6AA 2 0.8661 0.60872 0.288 0.712
#> 9CBEB375-516F-45EE-9A66-6EAB4E9DBD65 2 0.9754 0.26688 0.408 0.592
#> 039BECB9-7CEB-4057-9825-B3601C9CFC6B 1 0.9358 0.64817 0.648 0.352
#> 2CCA6EB5-C215-41A9-BCD6-6A77813D319C 2 0.7299 0.65509 0.204 0.796
#> 2CCA5192-4A24-4502-99DE-EC03B553A03D 2 0.9993 0.15563 0.484 0.516
#> 0D24351E-EBD6-4BD1-9A88-24DE07339221 2 0.9970 0.20165 0.468 0.532
#> 6F1E493F-EB93-4661-BD3D-51C934E8AAD2 1 0.9815 0.43655 0.580 0.420
#> 34091E7A-BBEB-4A71-BCEF-9CE85DA47841 2 0.8207 0.59192 0.256 0.744
#> B8284A02-7485-4A4B-BE86-6125A735E222 2 0.6438 0.64982 0.164 0.836
#> 69E0F82A-A67A-44CA-9B03-24E40F902427 1 0.8207 0.73502 0.744 0.256
#> 6BF81116-B1DF-4632-8352-AE89A43BABCD 2 0.6887 0.66611 0.184 0.816
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#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 1 0.6048 0.74200 0.852 0.148
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 2 0.2778 0.70946 0.048 0.952
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 1 0.6712 0.75811 0.824 0.176
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 2 0.9944 0.23618 0.456 0.544
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 2 0.7219 0.65675 0.200 0.800
#> 7E809698-2473-4EFE-B896-1637983EC596 2 0.7219 0.65837 0.200 0.800
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 1 0.6148 0.75357 0.848 0.152
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 1 0.5294 0.74290 0.880 0.120
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 2 0.7376 0.63345 0.208 0.792
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 2 0.6887 0.63630 0.184 0.816
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 2 0.6438 0.64325 0.164 0.836
#> 73F28A79-7D35-4FE9-849D-FFE681483928 2 0.9795 0.43556 0.416 0.584
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 2 0.7602 0.65875 0.220 0.780
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 1 0.5842 0.74376 0.860 0.140
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 2 0.9732 0.42112 0.404 0.596
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.2603 0.71031 0.044 0.956
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 2 0.6148 0.64266 0.152 0.848
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 2 0.8608 0.66605 0.284 0.716
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 2 0.8016 0.65230 0.244 0.756
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 1 1.0000 0.03381 0.500 0.500
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 1 0.5946 0.75391 0.856 0.144
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 2 0.6148 0.64266 0.152 0.848
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.4690 0.71731 0.100 0.900
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 2 0.8909 0.53976 0.308 0.692
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.2603 0.71247 0.044 0.956
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 2 0.5519 0.69990 0.128 0.872
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 2 0.9248 0.43706 0.340 0.660
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 2 0.8499 0.64153 0.276 0.724
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 2 0.9427 0.38033 0.360 0.640
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 2 0.6438 0.64325 0.164 0.836
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 1 0.0000 0.64743 1.000 0.000
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 2 0.9635 0.44951 0.388 0.612
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 2 0.6148 0.64266 0.152 0.848
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 2 0.9635 0.44555 0.388 0.612
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.0672 0.70322 0.008 0.992
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 1 0.7056 0.75053 0.808 0.192
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 2 0.8555 0.65947 0.280 0.720
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 2 0.7528 0.70260 0.216 0.784
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 2 0.7376 0.64979 0.208 0.792
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 2 0.9988 -0.09618 0.480 0.520
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 2 0.6148 0.68410 0.152 0.848
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 2 0.8327 0.64242 0.264 0.736
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 1 0.9460 0.55907 0.636 0.364
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 1 0.7883 0.74128 0.764 0.236
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 1 0.9881 0.37423 0.564 0.436
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 2 0.9580 0.45751 0.380 0.620
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 2 0.9635 0.43798 0.388 0.612
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 2 0.9815 0.29297 0.420 0.580
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.7950 0.57440 0.240 0.760
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.7950 0.57440 0.240 0.760
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 1 0.8861 0.63447 0.696 0.304
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 1 0.9815 0.52991 0.580 0.420
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.0672 0.70332 0.008 0.992
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 2 0.9248 0.44459 0.340 0.660
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 2 0.9209 0.44724 0.336 0.664
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 1 0.9795 0.47535 0.584 0.416
#> CA356591-D24F-41A8-8C9A-1178C7781510 2 0.9970 -0.03260 0.468 0.532
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 1 0.4939 0.73870 0.892 0.108
#> 825309CC-4841-4475-BF77-8250C5EEADD8 2 0.6148 0.64266 0.152 0.848
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 3 0.759 0.23432 0.044 0.412 0.544
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.712 0.39541 0.032 0.364 0.604
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 2 0.802 0.34968 0.076 0.576 0.348
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.226 0.64070 0.068 0.932 0.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 3 0.910 0.18187 0.144 0.380 0.476
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 1 0.821 0.17376 0.468 0.460 0.072
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 2 0.739 0.04349 0.032 0.500 0.468
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 2 0.762 0.48154 0.072 0.636 0.292
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.249 0.65602 0.048 0.936 0.016
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.308 0.64846 0.060 0.916 0.024
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.706 0.59160 0.180 0.720 0.100
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.350 0.66700 0.028 0.072 0.900
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.933 0.35251 0.512 0.204 0.284
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.379 0.66836 0.060 0.892 0.048
#> ECB2DF14-CF68-44D4-8719-973AE448B992 1 0.975 0.29491 0.440 0.308 0.252
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 2 0.742 0.48160 0.064 0.648 0.288
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 3 0.399 0.58398 0.108 0.020 0.872
#> 3282F146-2782-4877-9EFE-6020AC277A8C 2 0.755 0.16398 0.040 0.524 0.436
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 3 0.958 0.29417 0.228 0.300 0.472
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 2 0.881 0.45693 0.264 0.572 0.164
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.389 0.66738 0.048 0.888 0.064
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 3 0.952 0.20531 0.320 0.208 0.472
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.216 0.64025 0.064 0.936 0.000
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 1 0.622 0.54561 0.728 0.032 0.240
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 3 0.697 0.62079 0.104 0.168 0.728
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 3 0.990 0.18868 0.304 0.292 0.404
#> C945DDA9-0194-46F4-89E2-13883284D5A4 3 0.540 0.65926 0.060 0.124 0.816
#> 79B11925-9772-474F-A729-D00315959710 1 0.426 0.67568 0.848 0.140 0.012
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 2 0.466 0.66302 0.048 0.852 0.100
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 1 0.594 0.55362 0.748 0.028 0.224
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 3 0.988 0.16970 0.324 0.272 0.404
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.801 0.61975 0.656 0.192 0.152
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.623 0.62856 0.064 0.764 0.172
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 1 0.610 0.55184 0.740 0.032 0.228
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.542 0.64484 0.100 0.080 0.820
#> 26796E5F-C0C2-466C-9012-882F6D29C149 3 0.927 0.01870 0.156 0.416 0.428
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 0.589 0.55546 0.752 0.028 0.220
#> 1492D21A-6458-4B49-B530-7A327FCDD031 1 0.746 0.65515 0.692 0.196 0.112
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 2 0.909 0.39475 0.200 0.548 0.252
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 2 0.985 0.04817 0.252 0.396 0.352
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.929 0.35641 0.492 0.332 0.176
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 3 0.996 0.03639 0.344 0.292 0.364
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.234 0.66273 0.048 0.940 0.012
#> E846120D-D9E6-46F8-9647-2272AB064072 1 0.648 0.48047 0.680 0.024 0.296
#> 36880C8C-91A9-49A9-A2D5-957161737F31 2 0.650 0.23301 0.336 0.648 0.016
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.230 0.65061 0.060 0.936 0.004
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 2 0.462 0.63668 0.136 0.840 0.024
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 1 0.597 0.55946 0.752 0.032 0.216
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 1 0.911 0.48027 0.544 0.196 0.260
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 2 0.478 0.61048 0.164 0.820 0.016
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 3 0.353 0.67008 0.016 0.092 0.892
#> 116F3F29-AB89-4F00-9003-559041E285EB 3 0.736 0.17526 0.032 0.440 0.528
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.634 0.28626 0.312 0.672 0.016
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 3 0.969 0.27353 0.296 0.248 0.456
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 2 0.524 0.64636 0.036 0.812 0.152
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 3 0.971 0.23209 0.240 0.316 0.444
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 1 0.590 0.60139 0.744 0.232 0.024
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 2 0.660 0.62061 0.084 0.748 0.168
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 2 0.745 0.41558 0.064 0.644 0.292
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.383 0.67028 0.868 0.124 0.008
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 3 0.479 0.67536 0.056 0.096 0.848
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.226 0.64394 0.068 0.932 0.000
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 3 0.499 0.67610 0.052 0.112 0.836
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 1 0.922 0.44650 0.532 0.212 0.256
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 2 0.816 0.43843 0.096 0.596 0.308
#> CD576099-5450-4232-9B59-08341BED8FFA 2 0.667 0.60516 0.068 0.732 0.200
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 2 0.562 0.63991 0.048 0.796 0.156
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 1 0.489 0.68217 0.836 0.124 0.040
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 1 0.341 0.67102 0.876 0.124 0.000
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 2 0.471 0.66408 0.056 0.852 0.092
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 2 0.806 0.10666 0.064 0.492 0.444
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 3 0.506 0.64521 0.016 0.184 0.800
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 1 0.364 0.67234 0.872 0.124 0.004
#> 57E380FC-B6AB-466F-9936-D52192888008 1 0.887 0.24231 0.476 0.404 0.120
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 3 0.738 0.50581 0.068 0.272 0.660
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 1 0.390 0.67217 0.864 0.128 0.008
#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 2 0.638 0.58938 0.044 0.732 0.224
#> 1D4F0B66-720D-484D-B8D5-2B290ED208A8 3 0.506 0.64521 0.016 0.184 0.800
#> C886CA33-5080-4E3E-88A2-F9A3CF03A857 3 0.589 0.62722 0.100 0.104 0.796
#> 9AC963E4-F82D-460E-9CAD-C651B879780A 2 0.645 0.60665 0.056 0.740 0.204
#> 1B6CF403-D0AE-4FFE-A884-660A58F32660 2 0.863 -0.00162 0.100 0.464 0.436
#> B33316E1-11FD-4C10-956A-C9C6F78508C5 1 0.684 0.67838 0.732 0.180 0.088
#> BB02EF6A-C57D-4A79-99C1-ED43A72FFAF7 2 0.357 0.66765 0.060 0.900 0.040
#> 4DBA59AD-9393-4BE6-88CB-852C62C4A334 3 0.375 0.67026 0.020 0.096 0.884
#> 7887EDC4-A0D7-4E57-B3A1-330A5683457D 3 0.989 0.15723 0.328 0.272 0.400
#> 2CD3AC14-46FB-4260-AE5C-4305C68D49BC 2 0.658 0.60559 0.068 0.740 0.192
#> BAB8FA79-208A-488D-B955-806263E5D6BB 2 0.807 0.02952 0.064 0.468 0.468
#> 98C990E7-7E3B-4200-A88D-E641931302EA 1 0.440 0.67473 0.856 0.116 0.028
#> 894EE382-5ACA-4DEB-9267-99ADBEF6DA19 2 0.731 0.47718 0.056 0.648 0.296
#> 98795F95-D26D-438A-AF46-B3BC3553F020 3 0.589 0.65529 0.052 0.168 0.780
#> 9AD4C328-1554-4C92-931C-30CE8F305FDE 2 0.652 0.22742 0.340 0.644 0.016
#> 4D1518D9-D968-4E7F-A702-5157A1A2E83E 1 0.787 0.58525 0.620 0.296 0.084
#> A6E8AF8C-5D7B-4197-990B-786A869ACB96 1 0.606 0.68347 0.784 0.132 0.084
#> DF8B4E19-8C78-4A68-8FAE-DFF01076BC97 2 0.825 0.00349 0.076 0.500 0.424
#> 8D2C608F-3280-4CA2-B996-9AE3DBDBBD28 2 0.749 -0.04348 0.036 0.496 0.468
#> E7BCBD8D-1219-4A99-948A-47A258A5CD8B 2 0.878 0.42256 0.148 0.564 0.288
#> 2C9633A5-8ACB-4D16-8120-F098BA14BB04 2 0.358 0.66648 0.056 0.900 0.044
#> 985D9304-E4DA-4038-B235-067CBFEAC902 2 0.196 0.64368 0.056 0.944 0.000
#> D34CE243-6F4F-4158-9FC4-77E1640E8A91 2 0.230 0.64710 0.060 0.936 0.004
#> 65131575-48D3-42C2-B411-3DB871EF5EE1 2 0.988 0.00224 0.260 0.376 0.364
#> 1AE13DFA-670C-43EE-9898-8FA831AEDDB3 3 0.378 0.66240 0.004 0.132 0.864
#> 3ACDCD29-1B8D-455D-9EE9-D6C903B16D09 3 0.989 0.17896 0.320 0.276 0.404
#> C6FBC35B-0113-4F00-BE1A-831D2C551055 1 0.961 0.30848 0.452 0.216 0.332
#> A8F3285D-A85E-4E73-9D20-9D14AA51916B 3 0.371 0.66367 0.004 0.128 0.868
#> 51601A73-2D75-4056-AEBB-8FF8DB813450 3 0.378 0.63167 0.064 0.044 0.892
#> 75021778-A96B-4F57-8C26-68E8F33D7EB7 2 0.817 0.43521 0.100 0.600 0.300
#> 71FFB439-22A1-4EBB-AEA6-A6BCA8CA6648 3 0.541 0.64226 0.104 0.076 0.820
#> BEDB0135-0A26-44EF-9028-C4907403B110 3 0.608 0.65488 0.088 0.128 0.784
#> 3B8BA56B-0E7B-4754-8729-8D613D0484E1 1 0.392 0.67502 0.868 0.120 0.012
#> 100BF963-6103-45E6-A760-E44649580CF5 2 0.915 0.24986 0.156 0.496 0.348
#> C26F21EA-5911-483F-BF64-03904BF93A20 2 0.739 0.59678 0.160 0.704 0.136
#> 9E50162D-8149-41D2-86C1-1C892EB98DFA 2 0.987 0.07312 0.264 0.404 0.332
#> 09521B29-B002-4AAD-93F1-6E600DD31515 2 0.380 0.66886 0.052 0.892 0.056
#> 45FD44A6-7976-4453-BD3F-99D21DA3ECC2 1 0.734 0.37926 0.572 0.036 0.392
#> 9EE0976F-1422-4F65-8837-93A192984CDF 3 0.365 0.62463 0.068 0.036 0.896
#> 2FBAA1AA-39F7-4C58-A7DA-76B1F4B26B2E 2 0.230 0.64710 0.060 0.936 0.004
#> B7A695A4-0B74-41E9-8662-4010C8CA38F0 3 0.989 0.18586 0.316 0.280 0.404
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#> 77AFFD5F-F715-4242-95C9-5F36E061B3E2 1 0.941 0.37694 0.508 0.244 0.248
#> FAB4A6D6-E978-4172-9FE1-79FC50C0F849 2 0.821 0.03438 0.072 0.472 0.456
#> 32C4DF54-39DD-4F62-B938-82ED2A0E0FFD 1 0.787 0.63374 0.664 0.200 0.136
#> 9911D83E-6DDF-4048-9A34-22BFA1D68BBD 3 0.315 0.64634 0.036 0.048 0.916
#> 4BAC0A03-BB88-4D19-86F9-FF093330C9B3 2 0.858 -0.02017 0.096 0.460 0.444
#> 18F63ADA-1828-43DD-AE1F-F36706C204CD 3 0.672 0.59857 0.068 0.204 0.728
#> 66729295-C0AA-42C7-92C9-05194EF02276 3 0.614 0.65434 0.088 0.132 0.780
#> 4CCA3104-B557-403D-AC06-A6D4936DDC04 3 0.693 0.62626 0.076 0.208 0.716
#> 77D4165E-7CB1-4D69-AFE5-C8D914531651 2 0.572 0.66407 0.084 0.804 0.112
#> BA12A05A-622A-424D-8108-3F5916405EB0 3 0.952 0.22783 0.340 0.200 0.460
#> DED4EA4D-9DC2-4419-83EC-2BFE75DC1830 2 0.295 0.65268 0.060 0.920 0.020
#> 13A35364-57C5-4F5A-B077-3BA2689BFDD3 1 0.796 0.40394 0.544 0.392 0.064
#> 2641B816-1D21-496E-85AD-1C690C9146A6 3 0.359 0.64227 0.052 0.048 0.900
#> 96E2AD09-7287-4B91-840E-81444A61D56F 3 0.745 0.32696 0.040 0.396 0.564
#> 62F3327F-FB16-4AD0-BCF5-B180F28281A9 2 0.526 0.66961 0.080 0.828 0.092
#> 112F7032-0212-4939-9449-D67E3600CCD5 3 0.811 0.23588 0.068 0.428 0.504
#> A3B4DE21-DDF0-4468-A300-7BECBAFD0BCD 1 0.840 0.56281 0.624 0.180 0.196
#> 0A03E593-6931-419C-AE47-51D75185C2C0 3 0.884 0.10965 0.116 0.424 0.460
#> 2416A3DC-A563-4FD1-A139-0E6EF7185211 2 0.326 0.66657 0.048 0.912 0.040
#> 18B29573-822C-405F-B793-DBC8924866CE 2 0.216 0.64025 0.064 0.936 0.000
#> 994EC227-B239-4CEE-AC96-EB5CC0AF583E 1 0.739 0.67728 0.692 0.208 0.100
#> 950933A3-5757-4914-9DC5-C220C2A455FD 3 0.354 0.66910 0.012 0.100 0.888
#> DBDFE95C-F941-407A-BE7D-D43D50143C4D 2 0.337 0.65044 0.072 0.904 0.024
#> D024393C-29D0-41C4-AB86-7E94581FDD26 2 0.799 0.07302 0.060 0.484 0.456
#> 4975AB35-93E5-400D-A429-CEA81BA89FFE 1 0.781 0.65113 0.672 0.184 0.144
#> 666ADCA2-1AE4-4843-B1C8-8EE29C44AE74 1 0.996 0.07121 0.364 0.344 0.292
#> A8F79C08-3943-4707-ADCB-890A955B5394 2 0.425 0.66905 0.080 0.872 0.048
#> A81614ED-14CB-4EBC-988E-F67FBCBF62D8 2 0.511 0.58427 0.168 0.808 0.024
#> E27E65C8-5B57-4C91-9D20-C075AEA2F2C5 1 0.858 0.51050 0.568 0.308 0.124
#> 745F18CA-080D-42FE-BAA6-89AD7E3D3408 2 0.617 0.63225 0.064 0.768 0.168
#> E755A625-799D-4A39-9D56-080228E0B669 2 0.557 0.62899 0.160 0.796 0.044
#> 3D94EFB8-94D4-4FDE-97D8-18A159279996 3 0.962 0.07353 0.376 0.204 0.420
#> 3D305C2E-6C86-4684-AA2A-155291AB4CC3 1 0.390 0.67334 0.864 0.128 0.008
#> E140052A-5434-4C44-9873-0318D1D272CA 2 0.230 0.65061 0.060 0.936 0.004
#> 68E56692-D46D-4A27-86CD-717E10AADDDA 3 0.350 0.66499 0.004 0.116 0.880
#> 00A0586E-5F05-47B3-925C-87E811B0893B 3 0.388 0.63345 0.068 0.044 0.888
#> E2B019A7-7C95-40FE-800C-D30E9730825C 3 0.847 -0.15812 0.452 0.088 0.460
#> 1B9ABB69-5CC6-4B6B-ABBC-71CC3274C7F0 1 0.864 0.56138 0.592 0.248 0.160
#> FAE396AA-3C3C-4AF9-953D-385C41B2DB5B 1 0.948 0.38511 0.492 0.284 0.224
#> 6BE4397D-1E5B-4486-83B4-EE0EC146C805 2 0.358 0.66780 0.056 0.900 0.044
#> EE38BD4E-5A08-4639-912F-04203F53762F 1 0.804 0.45508 0.572 0.352 0.076
#> 4050E7F8-80B6-46F2-8FF0-D4EC313E975B 3 0.767 0.57468 0.088 0.260 0.652
#> F3565161-FFBE-4138-9773-558DB386710C 1 0.390 0.67217 0.864 0.128 0.008
#> BA9ABEB1-D3F0-4F09-A647-25211C47C3D0 2 0.196 0.64368 0.056 0.944 0.000
#> 9E41E79A-4028-4F60-8250-411F191B665C 1 0.383 0.67046 0.868 0.124 0.008
#> 5F1D3EFD-ECDA-4C92-8D81-491484F09C95 3 0.334 0.53211 0.120 0.000 0.880
#> 0DBA04CB-417D-4E2B-BE83-3563F45291C4 2 0.827 -0.04923 0.440 0.484 0.076
#> B9B882A5-194B-4F5C-B702-0CF71CA6D9D2 2 0.671 0.62762 0.084 0.740 0.176
#> 67FE7638-B8F5-4631-B178-AC23B0382983 1 0.627 0.68467 0.772 0.140 0.088
#> FE03FC2C-9A4E-4F89-8681-E33DFECCC692 2 0.793 0.52454 0.216 0.656 0.128
#> 2B22B4B7-8A39-435C-BE3B-86FA84C8F941 2 0.662 0.53754 0.044 0.708 0.248
#> 00844B35-C108-4AEC-A687-4A91A2F33E6D 1 0.364 0.67234 0.872 0.124 0.004
#> C221EE7A-6343-4B6D-B322-0A2C0F0B29AF 1 0.364 0.67234 0.872 0.124 0.004
#> B28A6D56-7654-4829-BF1F-657C3C2C10D8 1 0.889 0.56372 0.572 0.192 0.236
#> F4C7BCEC-3CD4-4D9A-89EA-0ED58EA0DCFE 1 0.750 0.63469 0.684 0.212 0.104
#> F06FBFAB-D143-47AE-BEE7-51B48164764F 1 0.930 0.43815 0.524 0.228 0.248
#> 525F522B-E865-4479-AE65-510903ABF46F 2 0.708 0.42986 0.044 0.652 0.304
#> F0CB60E3-C412-46A2-918F-8C5C099AB224 2 0.988 0.01076 0.260 0.380 0.360
#> 587F307F-6E1B-487E-8E47-A99AB43DC5B4 3 0.406 0.63138 0.076 0.044 0.880
#> 883D9145-8414-4571-A3E1-516F03452C46 1 0.968 0.35409 0.444 0.328 0.228
#> 4A917271-7EA0-4F43-B474-7F5EA756EB05 2 0.663 0.18929 0.360 0.624 0.016
#> BB33015D-218C-4A1E-8839-95837D6E9B88 1 0.840 0.59890 0.620 0.220 0.160
#> 021CC81F-710D-4EEA-B1D8-012A81715ACC 1 0.993 0.14157 0.388 0.320 0.292
#> B00C4925-47E3-4442-ABEB-82D714A26587 3 0.946 0.04548 0.180 0.404 0.416
#> F79B27D3-0426-47BB-9756-7E0759246E5E 2 0.512 0.61170 0.028 0.812 0.160
#> 1F179559-D93E-491C-B499-64F86C31DAE0 3 0.608 0.65488 0.088 0.128 0.784
#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 3 0.551 0.66068 0.044 0.156 0.800
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 1 0.618 0.54571 0.732 0.032 0.236
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 1 0.766 0.33696 0.548 0.048 0.404
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 2 0.357 0.65552 0.060 0.900 0.040
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 2 0.948 0.13768 0.336 0.468 0.196
#> ED9794C0-AC60-4B54-8214-D26714871BBF 1 0.536 0.63168 0.820 0.064 0.116
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 2 0.759 0.43870 0.064 0.624 0.312
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 2 0.216 0.64500 0.064 0.936 0.000
#> 18D816AF-394A-482F-B22E-896A43B1E481 2 0.249 0.66265 0.048 0.936 0.016
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 1 0.961 0.27465 0.452 0.332 0.216
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 3 0.335 0.66797 0.004 0.108 0.888
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 2 0.359 0.66802 0.052 0.900 0.048
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 3 0.461 0.67485 0.052 0.092 0.856
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 3 0.980 0.24987 0.300 0.268 0.432
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 2 0.686 0.60952 0.084 0.728 0.188
#> 7E809698-2473-4EFE-B896-1637983EC596 2 0.672 0.59110 0.068 0.728 0.204
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 3 0.383 0.67237 0.036 0.076 0.888
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 3 0.347 0.65188 0.040 0.056 0.904
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 2 0.558 0.59443 0.024 0.772 0.204
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.492 0.66934 0.840 0.108 0.052
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.440 0.67473 0.856 0.116 0.028
#> 73F28A79-7D35-4FE9-849D-FFE681483928 1 0.936 0.20877 0.460 0.172 0.368
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 1 0.718 0.68243 0.708 0.196 0.096
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 3 0.353 0.67008 0.016 0.092 0.892
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 1 0.665 0.53396 0.712 0.048 0.240
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.367 0.65286 0.064 0.896 0.040
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.383 0.67028 0.868 0.124 0.008
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 1 0.840 0.56281 0.624 0.180 0.196
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 1 0.632 0.67805 0.772 0.112 0.116
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 3 0.968 0.25478 0.320 0.232 0.448
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.412 0.66662 0.040 0.084 0.876
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.383 0.67028 0.868 0.124 0.008
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.579 0.64645 0.148 0.792 0.060
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 2 0.868 0.35003 0.124 0.548 0.328
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.343 0.66064 0.064 0.904 0.032
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 2 0.507 0.65449 0.044 0.828 0.128
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 2 0.844 0.29922 0.096 0.536 0.368
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 2 0.973 0.22177 0.292 0.448 0.260
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 2 0.796 0.27483 0.064 0.544 0.392
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.440 0.67473 0.856 0.116 0.028
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.341 0.52904 0.124 0.000 0.876
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.598 0.55036 0.744 0.028 0.228
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.403 0.67178 0.856 0.136 0.008
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.577 0.55437 0.756 0.024 0.220
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.220 0.64742 0.056 0.940 0.004
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 3 0.494 0.67509 0.056 0.104 0.840
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.792 0.65684 0.664 0.180 0.156
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 1 0.855 0.53068 0.584 0.284 0.132
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.659 0.68586 0.744 0.180 0.076
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 3 0.822 0.20191 0.076 0.408 0.516
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 2 0.604 0.62839 0.056 0.772 0.172
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 2 0.892 0.41266 0.172 0.560 0.268
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 3 0.735 0.51573 0.068 0.268 0.664
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 3 0.520 0.64746 0.020 0.184 0.796
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 3 0.818 0.41867 0.096 0.312 0.592
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.599 0.55976 0.756 0.036 0.208
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.621 0.55371 0.736 0.036 0.228
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 3 0.976 0.22881 0.260 0.300 0.440
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.589 0.54996 0.028 0.752 0.220
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.589 0.54996 0.028 0.752 0.220
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 3 0.698 0.58679 0.072 0.220 0.708
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.725 0.43061 0.036 0.368 0.596
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.230 0.64710 0.060 0.936 0.004
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 2 0.795 0.32033 0.068 0.564 0.368
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 2 0.834 0.30992 0.088 0.536 0.376
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.823 0.38671 0.084 0.364 0.552
#> CA356591-D24F-41A8-8C9A-1178C7781510 3 0.749 0.06139 0.036 0.464 0.500
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.315 0.64264 0.040 0.044 0.916
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.357 0.67235 0.876 0.120 0.004
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 3 0.603 0.35926 0.016 0.328 0.624 0.032
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.771 0.18939 0.004 0.340 0.456 0.200
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 2 0.702 0.07916 0.060 0.480 0.436 0.024
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.211 0.65866 0.024 0.932 0.000 0.044
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 3 0.779 0.39357 0.132 0.276 0.552 0.040
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 1 0.789 0.26651 0.488 0.364 0.100 0.048
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 3 0.571 0.19221 0.012 0.404 0.572 0.012
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 2 0.670 0.31579 0.060 0.556 0.368 0.016
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.242 0.67852 0.020 0.928 0.032 0.020
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.294 0.67048 0.032 0.908 0.028 0.032
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.655 0.56876 0.184 0.680 0.112 0.024
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.462 0.24830 0.016 0.012 0.772 0.200
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 4 0.790 -0.02154 0.336 0.136 0.032 0.496
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.337 0.68244 0.036 0.880 0.076 0.008
#> ECB2DF14-CF68-44D4-8719-973AE448B992 1 0.858 0.18253 0.460 0.216 0.276 0.048
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 2 0.652 0.30677 0.048 0.560 0.376 0.016
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 3 0.655 -0.33132 0.068 0.004 0.528 0.400
#> 3282F146-2782-4877-9EFE-6020AC277A8C 3 0.608 0.10369 0.016 0.432 0.532 0.020
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 3 0.809 0.41316 0.236 0.192 0.532 0.040
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 2 0.786 0.34728 0.284 0.512 0.184 0.020
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.367 0.68255 0.032 0.864 0.092 0.012
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 3 0.857 0.19283 0.336 0.116 0.460 0.088
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.183 0.66128 0.024 0.944 0.000 0.032
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 1 0.583 0.30568 0.620 0.000 0.048 0.332
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 3 0.618 0.45070 0.092 0.072 0.740 0.096
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 3 0.870 0.25934 0.320 0.192 0.432 0.056
#> C945DDA9-0194-46F4-89E2-13883284D5A4 3 0.506 0.41110 0.040 0.052 0.800 0.108
#> 79B11925-9772-474F-A729-D00315959710 1 0.318 0.56748 0.880 0.036 0.000 0.084
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 2 0.443 0.65151 0.032 0.804 0.156 0.008
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 1 0.553 0.31378 0.632 0.000 0.032 0.336
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 3 0.871 0.24076 0.332 0.172 0.432 0.064
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.626 0.56169 0.728 0.068 0.136 0.068
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.562 0.60235 0.048 0.720 0.216 0.016
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 1 0.577 0.31056 0.620 0.000 0.044 0.336
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.621 0.20173 0.080 0.024 0.700 0.196
#> 26796E5F-C0C2-466C-9012-882F6D29C149 3 0.821 0.30282 0.164 0.308 0.488 0.040
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#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 1 0.838 0.23490 0.484 0.216 0.260 0.040
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 3 0.328 0.35696 0.004 0.020 0.872 0.104
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 2 0.341 0.68000 0.032 0.876 0.084 0.008
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 3 0.515 0.32414 0.016 0.048 0.768 0.168
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 3 0.854 0.28542 0.308 0.164 0.468 0.060
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 2 0.649 0.56496 0.068 0.652 0.256 0.024
#> 7E809698-2473-4EFE-B896-1637983EC596 2 0.630 0.51889 0.052 0.656 0.268 0.024
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 3 0.445 0.28918 0.016 0.016 0.796 0.172
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 3 0.512 0.10354 0.024 0.008 0.720 0.248
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 2 0.498 0.59619 0.008 0.720 0.256 0.016
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.443 0.50510 0.772 0.024 0.000 0.204
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.358 0.54412 0.852 0.020 0.004 0.124
#> 73F28A79-7D35-4FE9-849D-FFE681483928 1 0.845 0.27407 0.484 0.064 0.304 0.148
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 1 0.531 0.57604 0.792 0.076 0.052 0.080
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 3 0.373 0.31838 0.004 0.016 0.836 0.144
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 1 0.626 0.30303 0.620 0.012 0.052 0.316
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.320 0.67358 0.024 0.896 0.048 0.032
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.280 0.54905 0.888 0.012 0.000 0.100
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 1 0.655 0.52699 0.672 0.060 0.224 0.044
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 1 0.440 0.58192 0.836 0.028 0.088 0.048
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 3 0.969 0.06868 0.268 0.172 0.364 0.196
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.544 0.23295 0.016 0.036 0.724 0.224
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.280 0.54905 0.888 0.012 0.000 0.100
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.557 0.63733 0.148 0.748 0.092 0.012
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 2 0.790 0.08311 0.096 0.452 0.404 0.048
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.331 0.68071 0.044 0.892 0.036 0.028
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 2 0.498 0.64309 0.032 0.768 0.184 0.016
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 3 0.730 -0.01875 0.088 0.444 0.448 0.020
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 2 0.846 -0.10453 0.308 0.348 0.324 0.020
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 3 0.661 0.01538 0.040 0.460 0.480 0.020
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.358 0.54412 0.852 0.020 0.004 0.124
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 4 0.540 0.56329 0.016 0.000 0.404 0.580
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.557 0.30571 0.624 0.000 0.032 0.344
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.284 0.56222 0.896 0.028 0.000 0.076
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.560 0.31770 0.632 0.000 0.036 0.332
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.180 0.66789 0.016 0.948 0.004 0.032
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 3 0.536 0.34095 0.052 0.028 0.768 0.152
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.628 0.57641 0.728 0.064 0.132 0.076
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 1 0.737 0.48861 0.620 0.180 0.164 0.036
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.471 0.57027 0.820 0.064 0.028 0.088
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 3 0.695 0.38741 0.084 0.292 0.600 0.024
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 2 0.563 0.57885 0.044 0.704 0.240 0.012
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 2 0.818 0.18573 0.156 0.484 0.320 0.040
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 3 0.572 0.51050 0.052 0.160 0.748 0.040
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 3 0.415 0.44735 0.008 0.088 0.840 0.064
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 3 0.688 0.50447 0.092 0.212 0.656 0.040
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.544 0.32918 0.636 0.000 0.028 0.336
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.577 0.31710 0.620 0.000 0.044 0.336
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 3 0.831 0.36138 0.268 0.200 0.492 0.040
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.531 0.57188 0.020 0.720 0.240 0.020
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.531 0.57188 0.020 0.720 0.240 0.020
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 3 0.623 0.49395 0.052 0.136 0.728 0.084
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.687 0.37112 0.016 0.316 0.584 0.084
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.181 0.66919 0.028 0.948 0.004 0.020
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 3 0.644 -0.05703 0.056 0.468 0.472 0.004
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 3 0.701 -0.02976 0.072 0.456 0.456 0.016
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.832 0.25137 0.052 0.348 0.460 0.140
#> CA356591-D24F-41A8-8C9A-1178C7781510 3 0.604 0.25984 0.016 0.376 0.584 0.024
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.521 0.09248 0.024 0.008 0.708 0.260
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.240 0.55615 0.912 0.012 0.000 0.076
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 4 0.584 0.38949 0.000 0.272 0.080 0.624 0.024
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.742 0.12491 0.000 0.332 0.336 0.304 0.028
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 4 0.694 0.00616 0.040 0.424 0.036 0.452 0.048
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.161 0.64517 0.000 0.928 0.000 0.000 0.072
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 4 0.736 0.43404 0.100 0.208 0.064 0.584 0.044
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 1 0.787 0.19759 0.444 0.316 0.012 0.088 0.140
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 4 0.563 0.24239 0.000 0.344 0.044 0.588 0.024
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 2 0.657 0.24500 0.048 0.500 0.020 0.396 0.036
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.212 0.68525 0.008 0.924 0.000 0.032 0.036
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.246 0.65919 0.000 0.904 0.008 0.024 0.064
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.621 0.55957 0.148 0.676 0.020 0.120 0.036
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 4 0.498 -0.25446 0.008 0.000 0.324 0.636 0.032
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 5 0.718 0.30310 0.192 0.028 0.304 0.004 0.472
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.307 0.69323 0.020 0.876 0.008 0.084 0.012
#> ECB2DF14-CF68-44D4-8719-973AE448B992 1 0.821 0.18103 0.420 0.172 0.044 0.312 0.052
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 2 0.590 0.25560 0.016 0.516 0.020 0.420 0.028
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 3 0.564 0.64658 0.064 0.000 0.608 0.312 0.016
#> 3282F146-2782-4877-9EFE-6020AC277A8C 4 0.551 0.17327 0.000 0.372 0.024 0.572 0.032
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 4 0.770 0.39714 0.188 0.136 0.084 0.556 0.036
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 2 0.745 0.32126 0.244 0.504 0.012 0.196 0.044
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.357 0.69621 0.020 0.840 0.004 0.116 0.020
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 4 0.803 0.16341 0.304 0.084 0.100 0.468 0.044
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.127 0.65447 0.000 0.948 0.000 0.000 0.052
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 1 0.614 0.36872 0.588 0.000 0.244 0.008 0.160
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 4 0.569 0.21943 0.052 0.024 0.180 0.708 0.036
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 4 0.839 0.25807 0.272 0.148 0.096 0.444 0.040
#> C945DDA9-0194-46F4-89E2-13883284D5A4 4 0.416 0.11152 0.008 0.012 0.160 0.792 0.028
#> 79B11925-9772-474F-A729-D00315959710 1 0.318 0.53944 0.864 0.008 0.020 0.008 0.100
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 2 0.442 0.65472 0.024 0.780 0.012 0.164 0.020
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 1 0.585 0.36401 0.600 0.000 0.240 0.000 0.160
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 4 0.833 0.23067 0.284 0.124 0.092 0.452 0.048
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.630 0.55179 0.696 0.052 0.064 0.128 0.060
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.512 0.60657 0.024 0.696 0.008 0.244 0.028
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 1 0.611 0.36686 0.596 0.000 0.228 0.008 0.168
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 4 0.657 -0.29038 0.060 0.008 0.316 0.560 0.056
#> 26796E5F-C0C2-466C-9012-882F6D29C149 4 0.774 0.35459 0.128 0.260 0.048 0.516 0.048
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 0.586 0.36364 0.600 0.000 0.236 0.000 0.164
#> 1492D21A-6458-4B49-B530-7A327FCDD031 1 0.572 0.56569 0.732 0.072 0.036 0.120 0.040
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 2 0.832 -0.03369 0.188 0.388 0.048 0.328 0.048
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 4 0.787 0.33083 0.244 0.228 0.040 0.460 0.028
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.794 0.29882 0.488 0.200 0.024 0.220 0.068
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 4 0.845 0.16011 0.308 0.152 0.104 0.404 0.032
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.261 0.69211 0.020 0.908 0.008 0.044 0.020
#> E846120D-D9E6-46F8-9647-2272AB064072 1 0.659 0.22372 0.476 0.000 0.324 0.004 0.196
#> 36880C8C-91A9-49A9-A2D5-957161737F31 5 0.497 0.77318 0.052 0.304 0.000 0.000 0.644
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.144 0.66871 0.004 0.948 0.000 0.004 0.044
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 2 0.377 0.64560 0.088 0.836 0.000 0.024 0.052
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 1 0.585 0.37314 0.604 0.000 0.228 0.000 0.168
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 1 0.691 0.46024 0.592 0.060 0.064 0.252 0.032
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 2 0.432 0.60284 0.128 0.792 0.000 0.020 0.060
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 4 0.434 -0.13815 0.000 0.000 0.280 0.696 0.024
#> 116F3F29-AB89-4F00-9003-559041E285EB 4 0.630 0.32835 0.012 0.304 0.076 0.584 0.024
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 5 0.487 0.74113 0.040 0.328 0.000 0.000 0.632
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 4 0.878 0.22884 0.260 0.116 0.120 0.428 0.076
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 2 0.481 0.62947 0.012 0.732 0.012 0.212 0.032
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 4 0.822 0.37904 0.204 0.156 0.096 0.500 0.044
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 1 0.583 0.21812 0.584 0.040 0.024 0.008 0.344
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 2 0.568 0.61162 0.032 0.672 0.016 0.240 0.040
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 2 0.622 0.48417 0.028 0.616 0.068 0.272 0.016
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.287 0.51382 0.860 0.000 0.020 0.000 0.120
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 4 0.522 -0.12173 0.024 0.016 0.268 0.676 0.016
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.224 0.64335 0.008 0.904 0.000 0.004 0.084
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 4 0.522 0.01372 0.024 0.020 0.216 0.712 0.028
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 1 0.848 0.35291 0.496 0.144 0.124 0.172 0.064
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 2 0.699 0.20753 0.052 0.492 0.028 0.376 0.052
#> CD576099-5450-4232-9B59-08341BED8FFA 2 0.599 0.52232 0.044 0.632 0.012 0.272 0.040
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 2 0.527 0.58761 0.024 0.688 0.016 0.248 0.024
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 1 0.419 0.51958 0.800 0.012 0.032 0.012 0.144
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 1 0.266 0.52967 0.884 0.000 0.020 0.004 0.092
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 2 0.433 0.67663 0.020 0.800 0.012 0.132 0.036
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 4 0.624 0.26516 0.008 0.324 0.040 0.576 0.052
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 4 0.431 0.12646 0.000 0.044 0.172 0.772 0.012
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 1 0.235 0.53228 0.904 0.008 0.012 0.000 0.076
#> 57E380FC-B6AB-466F-9936-D52192888008 1 0.786 0.26904 0.476 0.260 0.016 0.176 0.072
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 4 0.548 0.36053 0.016 0.120 0.096 0.736 0.032
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 1 0.259 0.52740 0.888 0.008 0.012 0.000 0.092
#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 2 0.566 0.59499 0.020 0.652 0.032 0.272 0.024
#> 1D4F0B66-720D-484D-B8D5-2B290ED208A8 4 0.431 0.12646 0.000 0.044 0.172 0.772 0.012
#> C886CA33-5080-4E3E-88A2-F9A3CF03A857 3 0.686 0.58081 0.048 0.060 0.508 0.364 0.020
#> 9AC963E4-F82D-460E-9CAD-C651B879780A 2 0.539 0.56496 0.032 0.660 0.008 0.276 0.024
#> 1B6CF403-D0AE-4FFE-A884-660A58F32660 4 0.732 0.21922 0.060 0.332 0.056 0.508 0.044
#> B33316E1-11FD-4C10-956A-C9C6F78508C5 1 0.453 0.57682 0.816 0.048 0.032 0.052 0.052
#> BB02EF6A-C57D-4A79-99C1-ED43A72FFAF7 2 0.339 0.69307 0.024 0.864 0.008 0.080 0.024
#> 4DBA59AD-9393-4BE6-88CB-852C62C4A334 4 0.430 -0.12343 0.000 0.000 0.260 0.712 0.028
#> 7887EDC4-A0D7-4E57-B3A1-330A5683457D 4 0.834 0.22086 0.288 0.124 0.092 0.448 0.048
#> 2CD3AC14-46FB-4260-AE5C-4305C68D49BC 2 0.608 0.52677 0.048 0.632 0.012 0.264 0.044
#> BAB8FA79-208A-488D-B955-806263E5D6BB 4 0.617 0.28700 0.020 0.320 0.028 0.588 0.044
#> 98C990E7-7E3B-4200-A88D-E641931302EA 1 0.393 0.49973 0.808 0.008 0.036 0.004 0.144
#> 894EE382-5ACA-4DEB-9267-99ADBEF6DA19 2 0.628 0.27948 0.040 0.512 0.012 0.400 0.036
#> 98795F95-D26D-438A-AF46-B3BC3553F020 4 0.659 -0.26275 0.020 0.096 0.316 0.552 0.016
#> 9AD4C328-1554-4C92-931C-30CE8F305FDE 5 0.530 0.78989 0.084 0.280 0.000 0.000 0.636
#> 4D1518D9-D968-4E7F-A702-5157A1A2E83E 1 0.658 0.48032 0.652 0.184 0.032 0.064 0.068
#> A6E8AF8C-5D7B-4197-990B-786A869ACB96 1 0.408 0.57148 0.840 0.028 0.032 0.048 0.052
#> DF8B4E19-8C78-4A68-8FAE-DFF01076BC97 2 0.757 0.18837 0.044 0.476 0.152 0.308 0.020
#> 8D2C608F-3280-4CA2-B996-9AE3DBDBBD28 4 0.643 -0.07752 0.004 0.424 0.096 0.460 0.016
#> E7BCBD8D-1219-4A99-948A-47A258A5CD8B 2 0.751 0.09006 0.112 0.444 0.024 0.372 0.048
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#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 4 0.679 0.42336 0.056 0.244 0.068 0.604 0.028
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 2 0.550 0.57696 0.036 0.676 0.016 0.248 0.024
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 2 0.764 0.09290 0.120 0.440 0.048 0.364 0.028
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 4 0.505 0.35715 0.020 0.104 0.072 0.772 0.032
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 4 0.427 0.15852 0.000 0.056 0.148 0.784 0.012
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 4 0.720 0.40829 0.068 0.164 0.088 0.620 0.060
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.581 0.37022 0.612 0.000 0.216 0.000 0.172
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.612 0.37148 0.596 0.000 0.224 0.008 0.172
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 4 0.808 0.35094 0.228 0.148 0.088 0.500 0.036
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.479 0.60062 0.000 0.716 0.040 0.228 0.016
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.479 0.60062 0.000 0.716 0.040 0.228 0.016
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 4 0.577 0.30706 0.024 0.092 0.128 0.720 0.036
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 4 0.718 0.09292 0.008 0.292 0.160 0.504 0.036
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.141 0.66156 0.008 0.948 0.000 0.000 0.044
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 4 0.623 0.02349 0.040 0.416 0.012 0.500 0.032
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 4 0.691 0.05399 0.048 0.420 0.024 0.456 0.052
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 4 0.798 -0.03595 0.044 0.340 0.248 0.352 0.016
#> CA356591-D24F-41A8-8C9A-1178C7781510 4 0.585 0.29200 0.004 0.324 0.048 0.596 0.028
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 4 0.550 -0.53125 0.020 0.000 0.468 0.484 0.028
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.235 0.52834 0.896 0.000 0.016 0.000 0.088
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 3 0.584 0.35887 0.000 0.256 0.604 0.024 0.096 0.020
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.716 -0.00710 0.012 0.328 0.356 0.268 0.016 0.020
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 2 0.651 0.10696 0.000 0.412 0.352 0.008 0.212 0.016
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.181 0.65769 0.000 0.908 0.000 0.004 0.000 0.088
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 3 0.687 0.10099 0.012 0.204 0.436 0.024 0.316 0.008
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 5 0.793 0.26364 0.236 0.284 0.012 0.012 0.340 0.116
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 3 0.612 0.18138 0.000 0.340 0.512 0.024 0.112 0.012
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 2 0.624 0.33835 0.000 0.488 0.268 0.008 0.228 0.008
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.225 0.68634 0.000 0.912 0.020 0.004 0.024 0.040
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.307 0.65624 0.000 0.860 0.028 0.012 0.012 0.088
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.617 0.52403 0.064 0.648 0.044 0.012 0.184 0.048
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.564 -0.15868 0.016 0.000 0.600 0.260 0.116 0.008
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 6 0.638 0.24467 0.324 0.000 0.008 0.260 0.004 0.404
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.302 0.68376 0.000 0.860 0.040 0.004 0.084 0.012
#> ECB2DF14-CF68-44D4-8719-973AE448B992 5 0.674 0.52843 0.200 0.140 0.108 0.008 0.544 0.000
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 2 0.631 0.33683 0.000 0.500 0.272 0.012 0.204 0.012
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 4 0.626 0.68480 0.072 0.000 0.308 0.520 0.100 0.000
#> 3282F146-2782-4877-9EFE-6020AC277A8C 3 0.625 0.09163 0.000 0.368 0.476 0.020 0.120 0.016
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 5 0.644 0.28694 0.016 0.116 0.280 0.040 0.544 0.004
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 2 0.715 0.21212 0.128 0.488 0.084 0.008 0.276 0.016
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.345 0.69118 0.000 0.836 0.060 0.012 0.084 0.008
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 5 0.804 0.30820 0.180 0.068 0.292 0.060 0.388 0.012
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.167 0.66620 0.000 0.924 0.000 0.004 0.004 0.068
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 1 0.438 0.50909 0.752 0.000 0.004 0.168 0.036 0.040
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 3 0.664 0.22017 0.012 0.028 0.504 0.160 0.288 0.008
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 5 0.725 0.42425 0.072 0.124 0.204 0.040 0.544 0.016
#> C945DDA9-0194-46F4-89E2-13883284D5A4 3 0.509 0.22675 0.004 0.008 0.684 0.148 0.152 0.004
#> 79B11925-9772-474F-A729-D00315959710 1 0.423 0.60550 0.732 0.000 0.000 0.016 0.208 0.044
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 2 0.422 0.65249 0.000 0.760 0.112 0.000 0.116 0.012
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 1 0.379 0.50797 0.780 0.000 0.000 0.168 0.016 0.036
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 5 0.631 0.45838 0.048 0.096 0.180 0.044 0.628 0.004
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 5 0.532 0.03166 0.360 0.028 0.000 0.032 0.568 0.012
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.503 0.62674 0.000 0.680 0.112 0.008 0.192 0.008
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 1 0.398 0.50890 0.780 0.000 0.004 0.156 0.020 0.040
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.704 -0.23134 0.060 0.000 0.496 0.220 0.200 0.024
#> 26796E5F-C0C2-466C-9012-882F6D29C149 5 0.709 0.05651 0.012 0.244 0.340 0.028 0.368 0.008
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 0.376 0.50812 0.784 0.000 0.000 0.164 0.016 0.036
#> 1492D21A-6458-4B49-B530-7A327FCDD031 1 0.628 0.13480 0.448 0.048 0.024 0.024 0.436 0.020
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 5 0.678 0.15213 0.032 0.368 0.148 0.012 0.432 0.008
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 5 0.673 0.39323 0.036 0.200 0.220 0.008 0.524 0.012
#> B823982D-4102-4D21-B9CB-8C42830784F4 5 0.644 0.49606 0.180 0.164 0.048 0.000 0.584 0.024
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 5 0.857 0.30113 0.168 0.136 0.224 0.068 0.384 0.020
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.217 0.68075 0.000 0.900 0.012 0.000 0.080 0.008
#> E846120D-D9E6-46F8-9647-2272AB064072 1 0.510 0.36532 0.632 0.000 0.008 0.280 0.008 0.072
#> 36880C8C-91A9-49A9-A2D5-957161737F31 6 0.308 0.76759 0.012 0.192 0.000 0.000 0.000 0.796
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.172 0.67340 0.000 0.932 0.004 0.004 0.012 0.048
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 2 0.410 0.64803 0.028 0.808 0.008 0.008 0.076 0.072
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 1 0.388 0.51657 0.784 0.000 0.000 0.152 0.024 0.040
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 5 0.666 0.28934 0.308 0.028 0.104 0.024 0.520 0.016
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 2 0.474 0.60772 0.048 0.760 0.004 0.008 0.088 0.092
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 3 0.370 0.05693 0.008 0.000 0.800 0.148 0.032 0.012
#> 116F3F29-AB89-4F00-9003-559041E285EB 3 0.637 0.30602 0.000 0.288 0.536 0.028 0.124 0.024
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 6 0.334 0.73542 0.000 0.208 0.000 0.012 0.004 0.776
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 5 0.749 0.31922 0.084 0.092 0.260 0.064 0.492 0.008
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 2 0.475 0.63538 0.000 0.724 0.136 0.008 0.120 0.012
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 5 0.664 0.34640 0.024 0.132 0.224 0.044 0.568 0.008
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 1 0.579 0.34162 0.572 0.008 0.000 0.024 0.100 0.296
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 2 0.527 0.62366 0.000 0.664 0.136 0.012 0.180 0.008
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 2 0.636 0.48657 0.012 0.596 0.236 0.040 0.092 0.024
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.438 0.60357 0.732 0.000 0.000 0.016 0.188 0.064
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 3 0.590 -0.01527 0.012 0.020 0.612 0.212 0.140 0.004
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.240 0.65346 0.008 0.880 0.000 0.004 0.004 0.104
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 3 0.565 0.11062 0.008 0.016 0.644 0.136 0.188 0.008
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 1 0.880 0.09597 0.372 0.128 0.132 0.120 0.224 0.024
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 2 0.676 0.28401 0.016 0.476 0.248 0.008 0.236 0.016
#> CD576099-5450-4232-9B59-08341BED8FFA 2 0.548 0.53997 0.000 0.612 0.148 0.004 0.228 0.008
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 2 0.518 0.60422 0.000 0.676 0.164 0.012 0.140 0.008
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 1 0.503 0.59462 0.688 0.008 0.000 0.028 0.212 0.064
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 1 0.394 0.60981 0.768 0.000 0.000 0.020 0.176 0.036
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 2 0.401 0.67646 0.000 0.796 0.072 0.004 0.104 0.024
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 3 0.655 0.19327 0.000 0.308 0.472 0.016 0.184 0.020
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 3 0.345 0.28214 0.000 0.032 0.848 0.036 0.068 0.016
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 1 0.480 0.58305 0.692 0.000 0.000 0.032 0.220 0.056
#> 57E380FC-B6AB-466F-9936-D52192888008 5 0.658 0.47977 0.176 0.220 0.024 0.000 0.544 0.036
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 3 0.637 0.38616 0.000 0.124 0.612 0.088 0.156 0.020
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 1 0.503 0.58028 0.672 0.000 0.000 0.032 0.224 0.072
#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 2 0.562 0.61050 0.000 0.648 0.196 0.024 0.116 0.016
#> 1D4F0B66-720D-484D-B8D5-2B290ED208A8 3 0.345 0.28214 0.000 0.032 0.848 0.036 0.068 0.016
#> C886CA33-5080-4E3E-88A2-F9A3CF03A857 4 0.746 0.56948 0.032 0.060 0.360 0.408 0.124 0.016
#> 9AC963E4-F82D-460E-9CAD-C651B879780A 2 0.517 0.58705 0.000 0.652 0.168 0.004 0.172 0.004
#> 1B6CF403-D0AE-4FFE-A884-660A58F32660 3 0.701 0.13738 0.008 0.328 0.392 0.020 0.236 0.016
#> B33316E1-11FD-4C10-956A-C9C6F78508C5 1 0.535 0.36168 0.528 0.032 0.000 0.020 0.404 0.016
#> BB02EF6A-C57D-4A79-99C1-ED43A72FFAF7 2 0.285 0.68674 0.000 0.868 0.036 0.000 0.080 0.016
#> 4DBA59AD-9393-4BE6-88CB-852C62C4A334 3 0.371 0.08139 0.012 0.000 0.808 0.132 0.036 0.012
#> 7887EDC4-A0D7-4E57-B3A1-330A5683457D 5 0.628 0.46302 0.048 0.096 0.176 0.044 0.632 0.004
#> 2CD3AC14-46FB-4260-AE5C-4305C68D49BC 2 0.555 0.53730 0.000 0.612 0.144 0.008 0.228 0.008
#> BAB8FA79-208A-488D-B955-806263E5D6BB 3 0.626 0.21205 0.000 0.308 0.508 0.024 0.152 0.008
#> 98C990E7-7E3B-4200-A88D-E641931302EA 1 0.461 0.59579 0.732 0.004 0.000 0.024 0.172 0.068
#> 894EE382-5ACA-4DEB-9267-99ADBEF6DA19 2 0.628 0.35307 0.000 0.504 0.276 0.008 0.196 0.016
#> 98795F95-D26D-438A-AF46-B3BC3553F020 3 0.675 -0.08907 0.016 0.092 0.568 0.212 0.104 0.008
#> 9AD4C328-1554-4C92-931C-30CE8F305FDE 6 0.350 0.78829 0.032 0.164 0.000 0.000 0.008 0.796
#> 4D1518D9-D968-4E7F-A702-5157A1A2E83E 1 0.721 0.14934 0.420 0.160 0.016 0.028 0.348 0.028
#> A6E8AF8C-5D7B-4197-990B-786A869ACB96 1 0.496 0.41749 0.564 0.012 0.000 0.020 0.388 0.016
#> DF8B4E19-8C78-4A68-8FAE-DFF01076BC97 2 0.741 0.18878 0.012 0.460 0.304 0.096 0.100 0.028
#> 8D2C608F-3280-4CA2-B996-9AE3DBDBBD28 2 0.639 0.07722 0.000 0.424 0.424 0.064 0.080 0.008
#> E7BCBD8D-1219-4A99-948A-47A258A5CD8B 2 0.654 0.15839 0.012 0.436 0.240 0.000 0.300 0.012
#> 2C9633A5-8ACB-4D16-8120-F098BA14BB04 2 0.210 0.68644 0.000 0.920 0.032 0.004 0.020 0.024
#> 985D9304-E4DA-4038-B235-067CBFEAC902 2 0.135 0.66673 0.000 0.940 0.000 0.004 0.000 0.056
#> D34CE243-6F4F-4158-9FC4-77E1640E8A91 2 0.143 0.66803 0.000 0.940 0.000 0.004 0.004 0.052
#> 65131575-48D3-42C2-B411-3DB871EF5EE1 5 0.684 0.39812 0.044 0.184 0.240 0.008 0.512 0.012
#> 1AE13DFA-670C-43EE-9898-8FA831AEDDB3 3 0.227 0.22379 0.000 0.004 0.904 0.064 0.008 0.020
#> 3ACDCD29-1B8D-455D-9EE9-D6C903B16D09 5 0.639 0.45590 0.048 0.104 0.180 0.044 0.620 0.004
#> C6FBC35B-0113-4F00-BE1A-831D2C551055 5 0.816 0.32897 0.264 0.076 0.120 0.092 0.428 0.020
#> A8F3285D-A85E-4E73-9D20-9D14AA51916B 3 0.274 0.19462 0.000 0.008 0.880 0.076 0.020 0.016
#> 51601A73-2D75-4056-AEBB-8FF8DB813450 4 0.560 0.62786 0.024 0.000 0.432 0.476 0.064 0.004
#> 75021778-A96B-4F57-8C26-68E8F33D7EB7 2 0.662 0.23187 0.000 0.444 0.216 0.032 0.304 0.004
#> 71FFB439-22A1-4EBB-AEA6-A6BCA8CA6648 3 0.706 -0.23937 0.064 0.000 0.496 0.224 0.192 0.024
#> BEDB0135-0A26-44EF-9028-C4907403B110 3 0.597 0.23914 0.028 0.004 0.628 0.160 0.164 0.016
#> 3B8BA56B-0E7B-4754-8729-8D613D0484E1 1 0.396 0.61878 0.772 0.000 0.000 0.028 0.168 0.032
#> 100BF963-6103-45E6-A760-E44649580CF5 5 0.670 0.16715 0.012 0.312 0.244 0.004 0.416 0.012
#> C26F21EA-5911-483F-BF64-03904BF93A20 2 0.644 0.51379 0.048 0.592 0.088 0.012 0.236 0.024
#> 9E50162D-8149-41D2-86C1-1C892EB98DFA 5 0.608 0.41387 0.032 0.208 0.156 0.012 0.592 0.000
#> 09521B29-B002-4AAD-93F1-6E600DD31515 2 0.349 0.68670 0.000 0.836 0.056 0.012 0.084 0.012
#> 45FD44A6-7976-4453-BD3F-99D21DA3ECC2 1 0.661 0.39656 0.544 0.000 0.024 0.248 0.136 0.048
#> 9EE0976F-1422-4F65-8837-93A192984CDF 4 0.588 0.68877 0.020 0.000 0.364 0.504 0.108 0.004
#> 2FBAA1AA-39F7-4C58-A7DA-76B1F4B26B2E 2 0.169 0.66939 0.004 0.932 0.000 0.004 0.008 0.052
#> B7A695A4-0B74-41E9-8662-4010C8CA38F0 5 0.643 0.45508 0.048 0.108 0.180 0.044 0.616 0.004
#> E9013476-D037-41EA-921E-E9E62E93B75C 1 0.570 0.53127 0.620 0.016 0.012 0.056 0.272 0.024
#> 13FD88E9-3B06-4CB6-949F-395DDDE4B75B 2 0.635 0.35637 0.016 0.500 0.136 0.016 0.328 0.004
#> 9103E60E-D1FC-4F0F-B2CD-751921E14EBA 3 0.600 -0.57799 0.028 0.004 0.460 0.408 0.100 0.000
#> 4AEFB9F1-A55D-472E-A963-5BB3364D9D8C 2 0.391 0.66719 0.000 0.800 0.120 0.004 0.048 0.028
#> 05B80211-2230-436E-BA34-FD48337A5DE0 2 0.523 0.62419 0.040 0.716 0.032 0.016 0.172 0.024
#> 6B206166-85BC-4A1A-BDD2-B249652FC09E 5 0.458 0.23749 0.264 0.016 0.012 0.008 0.688 0.012
#> 3EA60F08-5232-4A97-A656-2A0A2F5CED07 3 0.700 0.23217 0.016 0.284 0.516 0.084 0.080 0.020
#> 9C55C086-682B-4D21-9C77-085CFE45A07E 5 0.778 0.51668 0.196 0.140 0.144 0.024 0.476 0.020
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#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 3 0.658 0.34289 0.012 0.084 0.592 0.128 0.176 0.008
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.700 0.23217 0.016 0.284 0.516 0.084 0.080 0.020
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.181 0.66999 0.004 0.924 0.000 0.004 0.008 0.060
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 2 0.646 0.07926 0.000 0.412 0.384 0.016 0.176 0.012
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 2 0.662 0.05712 0.004 0.412 0.356 0.012 0.204 0.012
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.790 0.10911 0.028 0.332 0.356 0.180 0.092 0.012
#> CA356591-D24F-41A8-8C9A-1178C7781510 3 0.619 0.26641 0.000 0.308 0.536 0.024 0.112 0.020
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.594 -0.48398 0.036 0.000 0.500 0.364 0.100 0.000
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.454 0.59827 0.728 0.000 0.000 0.032 0.184 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["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 17888 rows and 430 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'MAD' method.
#> Subgroups are detected by 'kmeans' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 3.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.335 0.613 0.805 0.4865 0.499 0.499
#> 3 3 0.641 0.733 0.885 0.3612 0.731 0.513
#> 4 4 0.605 0.729 0.814 0.1225 0.809 0.510
#> 5 5 0.643 0.559 0.740 0.0655 0.924 0.720
#> 6 6 0.667 0.537 0.717 0.0433 0.879 0.524
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
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 2 0.0938 0.81371 0.012 0.988
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 2 1.0000 0.08586 0.496 0.504
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 2 0.0672 0.81633 0.008 0.992
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.2236 0.80979 0.036 0.964
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 2 0.9732 0.16104 0.404 0.596
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 2 0.9993 -0.23381 0.484 0.516
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 2 0.8327 0.55541 0.264 0.736
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 2 0.0672 0.81633 0.008 0.992
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.0938 0.81678 0.012 0.988
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.1184 0.81618 0.016 0.984
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.8713 0.40557 0.292 0.708
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 1 0.4690 0.66318 0.900 0.100
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.0376 0.68255 0.996 0.004
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.0376 0.81727 0.004 0.996
#> ECB2DF14-CF68-44D4-8719-973AE448B992 1 0.8386 0.64981 0.732 0.268
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 2 0.0672 0.81633 0.008 0.992
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 1 0.2236 0.67682 0.964 0.036
#> 3282F146-2782-4877-9EFE-6020AC277A8C 2 0.0376 0.81687 0.004 0.996
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 2 0.1843 0.80626 0.028 0.972
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 2 0.2423 0.80870 0.040 0.960
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.0672 0.81695 0.008 0.992
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 1 0.9866 0.47910 0.568 0.432
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.2236 0.80979 0.036 0.964
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 1 0.0000 0.68249 1.000 0.000
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 1 0.5059 0.65589 0.888 0.112
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 2 0.0376 0.81687 0.004 0.996
#> C945DDA9-0194-46F4-89E2-13883284D5A4 1 0.9393 0.31946 0.644 0.356
#> 79B11925-9772-474F-A729-D00315959710 1 0.8713 0.63571 0.708 0.292
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 2 0.0376 0.81687 0.004 0.996
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 1 0.0000 0.68249 1.000 0.000
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 1 0.4815 0.66456 0.896 0.104
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.8661 0.63684 0.712 0.288
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.2043 0.81102 0.032 0.968
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 1 0.0376 0.68255 0.996 0.004
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 1 0.4690 0.66318 0.900 0.100
#> 26796E5F-C0C2-466C-9012-882F6D29C149 2 0.0938 0.81371 0.012 0.988
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 0.0938 0.68424 0.988 0.012
#> 1492D21A-6458-4B49-B530-7A327FCDD031 1 0.8813 0.62619 0.700 0.300
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 2 0.5294 0.73537 0.120 0.880
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 2 0.0672 0.81633 0.008 0.992
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.9129 0.59388 0.672 0.328
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 1 0.8327 0.65965 0.736 0.264
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.2236 0.80979 0.036 0.964
#> E846120D-D9E6-46F8-9647-2272AB064072 1 0.0376 0.68255 0.996 0.004
#> 36880C8C-91A9-49A9-A2D5-957161737F31 2 0.2948 0.79699 0.052 0.948
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.2236 0.80979 0.036 0.964
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 2 0.4161 0.76368 0.084 0.916
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 1 0.0376 0.68255 0.996 0.004
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 1 0.9286 0.61700 0.656 0.344
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 2 0.4161 0.76368 0.084 0.916
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 1 0.9963 0.05003 0.536 0.464
#> 116F3F29-AB89-4F00-9003-559041E285EB 2 0.8713 0.51964 0.292 0.708
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.2236 0.80979 0.036 0.964
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 1 0.2603 0.67683 0.956 0.044
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 2 0.0376 0.81687 0.004 0.996
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 2 0.7376 0.55374 0.208 0.792
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 1 0.8713 0.63571 0.708 0.292
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 2 0.0376 0.81687 0.004 0.996
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 2 0.9552 0.39879 0.376 0.624
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.8861 0.62472 0.696 0.304
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 1 0.4690 0.66318 0.900 0.100
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.2236 0.80979 0.036 0.964
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 1 0.7883 0.52911 0.764 0.236
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 1 0.0376 0.68255 0.996 0.004
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 2 0.0376 0.81687 0.004 0.996
#> CD576099-5450-4232-9B59-08341BED8FFA 2 0.0672 0.81633 0.008 0.992
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 2 0.0376 0.81687 0.004 0.996
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 1 0.8861 0.62472 0.696 0.304
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 1 0.8144 0.65806 0.748 0.252
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 2 0.0376 0.81727 0.004 0.996
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 2 0.1414 0.81121 0.020 0.980
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 1 0.9909 0.10852 0.556 0.444
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 1 0.8861 0.62472 0.696 0.304
#> 57E380FC-B6AB-466F-9936-D52192888008 2 0.9795 0.05050 0.416 0.584
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 2 0.1633 0.80885 0.024 0.976
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 1 0.8861 0.62472 0.696 0.304
#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 2 0.0376 0.81687 0.004 0.996
#> 1D4F0B66-720D-484D-B8D5-2B290ED208A8 2 0.8955 0.49572 0.312 0.688
#> C886CA33-5080-4E3E-88A2-F9A3CF03A857 1 0.3431 0.67374 0.936 0.064
#> 9AC963E4-F82D-460E-9CAD-C651B879780A 2 0.0000 0.81714 0.000 1.000
#> 1B6CF403-D0AE-4FFE-A884-660A58F32660 2 0.9993 0.11597 0.484 0.516
#> B33316E1-11FD-4C10-956A-C9C6F78508C5 1 0.7815 0.66547 0.768 0.232
#> BB02EF6A-C57D-4A79-99C1-ED43A72FFAF7 2 0.0376 0.81727 0.004 0.996
#> 4DBA59AD-9393-4BE6-88CB-852C62C4A334 1 0.9922 0.09721 0.552 0.448
#> 7887EDC4-A0D7-4E57-B3A1-330A5683457D 1 0.8909 0.62681 0.692 0.308
#> 2CD3AC14-46FB-4260-AE5C-4305C68D49BC 2 0.0376 0.81687 0.004 0.996
#> BAB8FA79-208A-488D-B955-806263E5D6BB 2 0.0672 0.81633 0.008 0.992
#> 98C990E7-7E3B-4200-A88D-E641931302EA 1 0.8861 0.62472 0.696 0.304
#> 894EE382-5ACA-4DEB-9267-99ADBEF6DA19 2 0.0376 0.81687 0.004 0.996
#> 98795F95-D26D-438A-AF46-B3BC3553F020 1 0.8661 0.45455 0.712 0.288
#> 9AD4C328-1554-4C92-931C-30CE8F305FDE 1 0.8955 0.61800 0.688 0.312
#> 4D1518D9-D968-4E7F-A702-5157A1A2E83E 1 0.8861 0.62472 0.696 0.304
#> A6E8AF8C-5D7B-4197-990B-786A869ACB96 1 0.8861 0.62472 0.696 0.304
#> DF8B4E19-8C78-4A68-8FAE-DFF01076BC97 2 0.9170 0.47433 0.332 0.668
#> 8D2C608F-3280-4CA2-B996-9AE3DBDBBD28 2 0.9815 0.29138 0.420 0.580
#> E7BCBD8D-1219-4A99-948A-47A258A5CD8B 2 0.0376 0.81687 0.004 0.996
#> 2C9633A5-8ACB-4D16-8120-F098BA14BB04 2 0.1414 0.81534 0.020 0.980
#> 985D9304-E4DA-4038-B235-067CBFEAC902 2 0.2236 0.80979 0.036 0.964
#> D34CE243-6F4F-4158-9FC4-77E1640E8A91 2 0.2236 0.80979 0.036 0.964
#> 65131575-48D3-42C2-B411-3DB871EF5EE1 2 0.2778 0.79030 0.048 0.952
#> 1AE13DFA-670C-43EE-9898-8FA831AEDDB3 2 0.8909 0.50080 0.308 0.692
#> 3ACDCD29-1B8D-455D-9EE9-D6C903B16D09 1 0.8909 0.62681 0.692 0.308
#> C6FBC35B-0113-4F00-BE1A-831D2C551055 1 0.8555 0.64798 0.720 0.280
#> A8F3285D-A85E-4E73-9D20-9D14AA51916B 2 1.0000 0.08485 0.496 0.504
#> 51601A73-2D75-4056-AEBB-8FF8DB813450 1 0.4690 0.66318 0.900 0.100
#> 75021778-A96B-4F57-8C26-68E8F33D7EB7 2 0.4431 0.74394 0.092 0.908
#> 71FFB439-22A1-4EBB-AEA6-A6BCA8CA6648 1 0.4690 0.66318 0.900 0.100
#> BEDB0135-0A26-44EF-9028-C4907403B110 1 0.4690 0.66318 0.900 0.100
#> 3B8BA56B-0E7B-4754-8729-8D613D0484E1 1 0.7674 0.66874 0.776 0.224
#> 100BF963-6103-45E6-A760-E44649580CF5 2 0.2043 0.80344 0.032 0.968
#> C26F21EA-5911-483F-BF64-03904BF93A20 2 0.2236 0.80979 0.036 0.964
#> 9E50162D-8149-41D2-86C1-1C892EB98DFA 2 0.4431 0.74451 0.092 0.908
#> 09521B29-B002-4AAD-93F1-6E600DD31515 2 0.0376 0.81727 0.004 0.996
#> 45FD44A6-7976-4453-BD3F-99D21DA3ECC2 1 0.0000 0.68249 1.000 0.000
#> 9EE0976F-1422-4F65-8837-93A192984CDF 1 0.4690 0.66318 0.900 0.100
#> 2FBAA1AA-39F7-4C58-A7DA-76B1F4B26B2E 2 0.2948 0.79699 0.052 0.948
#> B7A695A4-0B74-41E9-8662-4010C8CA38F0 1 0.9754 0.55127 0.592 0.408
#> E9013476-D037-41EA-921E-E9E62E93B75C 1 0.6801 0.67941 0.820 0.180
#> 13FD88E9-3B06-4CB6-949F-395DDDE4B75B 2 0.1414 0.81534 0.020 0.980
#> 9103E60E-D1FC-4F0F-B2CD-751921E14EBA 1 0.4298 0.66748 0.912 0.088
#> 4AEFB9F1-A55D-472E-A963-5BB3364D9D8C 2 0.0000 0.81714 0.000 1.000
#> 05B80211-2230-436E-BA34-FD48337A5DE0 2 0.2236 0.80979 0.036 0.964
#> 6B206166-85BC-4A1A-BDD2-B249652FC09E 1 0.8555 0.64798 0.720 0.280
#> 3EA60F08-5232-4A97-A656-2A0A2F5CED07 2 0.9998 0.08543 0.492 0.508
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#> A3B4DE21-DDF0-4468-A300-7BECBAFD0BCD 1 0.7950 0.66627 0.760 0.240
#> 0A03E593-6931-419C-AE47-51D75185C2C0 1 0.9896 0.12017 0.560 0.440
#> 2416A3DC-A563-4FD1-A139-0E6EF7185211 2 0.0672 0.81746 0.008 0.992
#> 18B29573-822C-405F-B793-DBC8924866CE 2 0.2236 0.80979 0.036 0.964
#> 994EC227-B239-4CEE-AC96-EB5CC0AF583E 1 0.8713 0.63571 0.708 0.292
#> 950933A3-5757-4914-9DC5-C220C2A455FD 1 0.9944 0.07375 0.544 0.456
#> DBDFE95C-F941-407A-BE7D-D43D50143C4D 2 0.2236 0.80979 0.036 0.964
#> D024393C-29D0-41C4-AB86-7E94581FDD26 2 0.0672 0.81633 0.008 0.992
#> 4975AB35-93E5-400D-A429-CEA81BA89FFE 1 0.8016 0.66239 0.756 0.244
#> 666ADCA2-1AE4-4843-B1C8-8EE29C44AE74 1 0.9209 0.62415 0.664 0.336
#> A8F79C08-3943-4707-ADCB-890A955B5394 2 0.2236 0.80979 0.036 0.964
#> A81614ED-14CB-4EBC-988E-F67FBCBF62D8 2 0.4815 0.74132 0.104 0.896
#> E27E65C8-5B57-4C91-9D20-C075AEA2F2C5 1 0.0376 0.68255 0.996 0.004
#> 745F18CA-080D-42FE-BAA6-89AD7E3D3408 2 0.0376 0.81687 0.004 0.996
#> E755A625-799D-4A39-9D56-080228E0B669 2 0.2948 0.79699 0.052 0.948
#> 3D94EFB8-94D4-4FDE-97D8-18A159279996 2 0.9977 0.16279 0.472 0.528
#> 3D305C2E-6C86-4684-AA2A-155291AB4CC3 1 0.7815 0.66547 0.768 0.232
#> E140052A-5434-4C44-9873-0318D1D272CA 2 0.2236 0.80979 0.036 0.964
#> 68E56692-D46D-4A27-86CD-717E10AADDDA 1 0.9970 0.03359 0.532 0.468
#> 00A0586E-5F05-47B3-925C-87E811B0893B 1 0.4690 0.66318 0.900 0.100
#> E2B019A7-7C95-40FE-800C-D30E9730825C 1 0.2236 0.67682 0.964 0.036
#> 1B9ABB69-5CC6-4B6B-ABBC-71CC3274C7F0 1 0.8861 0.62212 0.696 0.304
#> FAE396AA-3C3C-4AF9-953D-385C41B2DB5B 1 0.8955 0.62478 0.688 0.312
#> 6BE4397D-1E5B-4486-83B4-EE0EC146C805 2 0.1414 0.81534 0.020 0.980
#> EE38BD4E-5A08-4639-912F-04203F53762F 1 0.9248 0.57593 0.660 0.340
#> 4050E7F8-80B6-46F2-8FF0-D4EC313E975B 1 0.4690 0.66318 0.900 0.100
#> F3565161-FFBE-4138-9773-558DB386710C 1 0.8861 0.62472 0.696 0.304
#> BA9ABEB1-D3F0-4F09-A647-25211C47C3D0 2 0.2236 0.80979 0.036 0.964
#> 9E41E79A-4028-4F60-8250-411F191B665C 1 0.8909 0.62027 0.692 0.308
#> 5F1D3EFD-ECDA-4C92-8D81-491484F09C95 1 0.2778 0.67574 0.952 0.048
#> 0DBA04CB-417D-4E2B-BE83-3563F45291C4 2 0.9922 -0.07422 0.448 0.552
#> B9B882A5-194B-4F5C-B702-0CF71CA6D9D2 2 0.0376 0.81687 0.004 0.996
#> 67FE7638-B8F5-4631-B178-AC23B0382983 1 0.8713 0.63571 0.708 0.292
#> FE03FC2C-9A4E-4F89-8681-E33DFECCC692 2 0.8608 0.44993 0.284 0.716
#> 2B22B4B7-8A39-435C-BE3B-86FA84C8F941 2 0.8327 0.55539 0.264 0.736
#> 00844B35-C108-4AEC-A687-4A91A2F33E6D 1 0.8713 0.63571 0.708 0.292
#> C221EE7A-6343-4B6D-B322-0A2C0F0B29AF 1 0.8713 0.63571 0.708 0.292
#> B28A6D56-7654-4829-BF1F-657C3C2C10D8 1 0.0672 0.68460 0.992 0.008
#> F4C7BCEC-3CD4-4D9A-89EA-0ED58EA0DCFE 1 0.8909 0.62027 0.692 0.308
#> F06FBFAB-D143-47AE-BEE7-51B48164764F 1 0.0672 0.68212 0.992 0.008
#> 525F522B-E865-4479-AE65-510903ABF46F 2 0.8813 0.50955 0.300 0.700
#> F0CB60E3-C412-46A2-918F-8C5C099AB224 1 0.9954 0.45716 0.540 0.460
#> 587F307F-6E1B-487E-8E47-A99AB43DC5B4 1 0.4562 0.66473 0.904 0.096
#> 883D9145-8414-4571-A3E1-516F03452C46 1 0.8661 0.63684 0.712 0.288
#> 4A917271-7EA0-4F43-B474-7F5EA756EB05 1 0.8861 0.62472 0.696 0.304
#> BB33015D-218C-4A1E-8839-95837D6E9B88 1 0.8861 0.62212 0.696 0.304
#> 021CC81F-710D-4EEA-B1D8-012A81715ACC 1 0.8813 0.62619 0.700 0.300
#> B00C4925-47E3-4442-ABEB-82D714A26587 1 0.9970 0.44499 0.532 0.468
#> F79B27D3-0426-47BB-9756-7E0759246E5E 2 0.0672 0.81695 0.008 0.992
#> 1F179559-D93E-491C-B499-64F86C31DAE0 1 0.4298 0.66748 0.912 0.088
#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 1 0.7745 0.53902 0.772 0.228
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 1 0.0376 0.68255 0.996 0.004
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 1 0.1184 0.68073 0.984 0.016
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 2 0.2236 0.80979 0.036 0.964
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 2 0.9491 0.22377 0.368 0.632
#> ED9794C0-AC60-4B54-8214-D26714871BBF 1 0.6438 0.68214 0.836 0.164
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 2 0.0376 0.81687 0.004 0.996
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 2 0.2236 0.80979 0.036 0.964
#> 18D816AF-394A-482F-B22E-896A43B1E481 2 0.1414 0.81534 0.020 0.980
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 2 1.0000 -0.24742 0.496 0.504
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 1 0.9922 0.09721 0.552 0.448
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 2 0.0000 0.81714 0.000 1.000
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 1 0.4690 0.66318 0.900 0.100
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 2 0.6343 0.64576 0.160 0.840
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 2 0.0376 0.81687 0.004 0.996
#> 7E809698-2473-4EFE-B896-1637983EC596 2 0.0376 0.81687 0.004 0.996
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 1 0.6531 0.60890 0.832 0.168
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 1 0.4690 0.66318 0.900 0.100
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 2 0.0000 0.81714 0.000 1.000
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.7453 0.67227 0.788 0.212
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.8713 0.63571 0.708 0.292
#> 73F28A79-7D35-4FE9-849D-FFE681483928 1 0.9209 0.62243 0.664 0.336
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 1 0.5737 0.68575 0.864 0.136
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 1 0.9881 0.13016 0.564 0.436
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 1 0.0376 0.68255 0.996 0.004
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.0376 0.81727 0.004 0.996
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.8861 0.62472 0.696 0.304
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 1 0.8909 0.62681 0.692 0.308
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 1 0.7745 0.66690 0.772 0.228
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 1 0.4161 0.66518 0.916 0.084
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 1 0.9922 0.09721 0.552 0.448
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.8909 0.62027 0.692 0.308
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.2236 0.80979 0.036 0.964
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 2 0.5294 0.70813 0.120 0.880
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.2236 0.80979 0.036 0.964
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 2 0.0376 0.81687 0.004 0.996
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 2 0.0376 0.81687 0.004 0.996
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 2 0.1633 0.80931 0.024 0.976
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 2 0.0672 0.81633 0.008 0.992
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.8763 0.63233 0.704 0.296
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 1 0.4022 0.66976 0.920 0.080
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.0376 0.68255 0.996 0.004
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 2 0.9922 -0.07422 0.448 0.552
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.0376 0.68255 0.996 0.004
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.2236 0.80979 0.036 0.964
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 1 0.3274 0.67411 0.940 0.060
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.8386 0.65219 0.732 0.268
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 2 0.9286 0.24638 0.344 0.656
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.8713 0.63571 0.708 0.292
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 2 0.2043 0.80344 0.032 0.968
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 2 0.0376 0.81687 0.004 0.996
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 2 0.4562 0.76107 0.096 0.904
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 2 0.1414 0.81121 0.020 0.980
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 2 0.9998 0.09834 0.492 0.508
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 2 0.9954 0.19678 0.460 0.540
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.0376 0.68255 0.996 0.004
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.0376 0.68255 0.996 0.004
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 1 0.8207 0.49958 0.744 0.256
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.8081 0.57663 0.248 0.752
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.1184 0.81618 0.016 0.984
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 2 0.8909 0.50608 0.308 0.692
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 2 0.9044 0.48295 0.320 0.680
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.4161 0.76368 0.084 0.916
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 2 0.0376 0.81687 0.004 0.996
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 2 0.0672 0.81633 0.008 0.992
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 1 0.9686 0.23499 0.604 0.396
#> CA356591-D24F-41A8-8C9A-1178C7781510 2 0.8267 0.56286 0.260 0.740
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 1 0.4690 0.66318 0.900 0.100
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.8713 0.63571 0.708 0.292
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 3 0.5785 0.3282 0.000 0.332 0.668
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.6126 0.3557 0.000 0.400 0.600
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 3 0.6180 0.0584 0.000 0.416 0.584
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.0000 0.8161 0.000 1.000 0.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 3 0.0000 0.8734 0.000 0.000 1.000
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 1 0.4931 0.6822 0.768 0.232 0.000
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 3 0.3116 0.7597 0.000 0.108 0.892
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 2 0.6111 0.4804 0.000 0.604 0.396
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.0000 0.8161 0.000 1.000 0.000
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.0000 0.8161 0.000 1.000 0.000
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.6008 0.2697 0.372 0.628 0.000
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.0000 0.8734 0.000 0.000 1.000
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.4842 0.6971 0.776 0.000 0.224
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.0000 0.8161 0.000 1.000 0.000
#> ECB2DF14-CF68-44D4-8719-973AE448B992 1 0.3551 0.8004 0.868 0.000 0.132
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 2 0.5835 0.5532 0.000 0.660 0.340
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 3 0.5859 0.3878 0.344 0.000 0.656
#> 3282F146-2782-4877-9EFE-6020AC277A8C 2 0.6154 0.4618 0.000 0.592 0.408
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 2 0.6180 0.4483 0.000 0.584 0.416
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 2 0.2165 0.7711 0.064 0.936 0.000
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.0000 0.8161 0.000 1.000 0.000
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 1 0.8386 0.4304 0.584 0.112 0.304
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.0000 0.8161 0.000 1.000 0.000
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 1 0.3116 0.8275 0.892 0.000 0.108
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 3 0.0000 0.8734 0.000 0.000 1.000
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 2 0.6168 0.4545 0.000 0.588 0.412
#> C945DDA9-0194-46F4-89E2-13883284D5A4 3 0.0000 0.8734 0.000 0.000 1.000
#> 79B11925-9772-474F-A729-D00315959710 1 0.0000 0.8955 1.000 0.000 0.000
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 2 0.0000 0.8161 0.000 1.000 0.000
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 1 0.3116 0.8275 0.892 0.000 0.108
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 3 0.0000 0.8734 0.000 0.000 1.000
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.0000 0.8955 1.000 0.000 0.000
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.0000 0.8161 0.000 1.000 0.000
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 1 0.4555 0.7299 0.800 0.000 0.200
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.0000 0.8734 0.000 0.000 1.000
#> 26796E5F-C0C2-466C-9012-882F6D29C149 3 0.4235 0.6633 0.000 0.176 0.824
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 0.0000 0.8955 1.000 0.000 0.000
#> 1492D21A-6458-4B49-B530-7A327FCDD031 1 0.0592 0.8899 0.988 0.000 0.012
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 2 0.6008 0.5132 0.000 0.628 0.372
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 2 0.6126 0.4745 0.000 0.600 0.400
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.0000 0.8955 1.000 0.000 0.000
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 1 0.1877 0.8747 0.956 0.012 0.032
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.0000 0.8161 0.000 1.000 0.000
#> E846120D-D9E6-46F8-9647-2272AB064072 1 0.3686 0.7982 0.860 0.000 0.140
#> 36880C8C-91A9-49A9-A2D5-957161737F31 2 0.0000 0.8161 0.000 1.000 0.000
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.0000 0.8161 0.000 1.000 0.000
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 2 0.0000 0.8161 0.000 1.000 0.000
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 1 0.0000 0.8955 1.000 0.000 0.000
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 1 0.6180 0.3429 0.584 0.000 0.416
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 2 0.0592 0.8086 0.012 0.988 0.000
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 3 0.0000 0.8734 0.000 0.000 1.000
#> 116F3F29-AB89-4F00-9003-559041E285EB 3 0.0000 0.8734 0.000 0.000 1.000
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.0000 0.8161 0.000 1.000 0.000
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 3 0.0000 0.8734 0.000 0.000 1.000
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 2 0.4555 0.6922 0.000 0.800 0.200
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 2 0.6180 0.4483 0.000 0.584 0.416
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 1 0.0000 0.8955 1.000 0.000 0.000
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 2 0.0000 0.8161 0.000 1.000 0.000
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 3 0.6235 0.2811 0.000 0.436 0.564
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.0000 0.8955 1.000 0.000 0.000
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#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 3 0.0000 0.8734 0.000 0.000 1.000
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 3 0.0000 0.8734 0.000 0.000 1.000
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.0000 0.8955 1.000 0.000 0.000
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.3116 0.8275 0.892 0.000 0.108
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 3 0.0000 0.8734 0.000 0.000 1.000
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.1753 0.7816 0.000 0.952 0.048
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.0000 0.8161 0.000 1.000 0.000
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 3 0.0000 0.8734 0.000 0.000 1.000
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.0000 0.8734 0.000 0.000 1.000
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.0000 0.8161 0.000 1.000 0.000
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 2 0.4974 0.6627 0.000 0.764 0.236
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 2 0.6180 0.4483 0.000 0.584 0.416
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.5363 0.5719 0.000 0.276 0.724
#> CA356591-D24F-41A8-8C9A-1178C7781510 3 0.3941 0.6945 0.000 0.156 0.844
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.0000 0.8734 0.000 0.000 1.000
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.0000 0.8955 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 4 0.5346 0.5813 0.000 0.076 0.192 0.732
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.5453 0.5497 0.000 0.320 0.648 0.032
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 4 0.3895 0.7506 0.000 0.132 0.036 0.832
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.0336 0.9191 0.000 0.992 0.000 0.008
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 4 0.3569 0.5942 0.000 0.000 0.196 0.804
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 1 0.5889 0.5068 0.640 0.312 0.008 0.040
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 4 0.4295 0.5033 0.000 0.008 0.240 0.752
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 4 0.3257 0.7547 0.000 0.152 0.004 0.844
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.0336 0.9191 0.000 0.992 0.000 0.008
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.0000 0.9170 0.000 1.000 0.000 0.000
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.1509 0.8914 0.012 0.960 0.008 0.020
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.0592 0.7761 0.000 0.000 0.984 0.016
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.4877 0.6664 0.752 0.000 0.204 0.044
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.0336 0.9191 0.000 0.992 0.000 0.008
#> ECB2DF14-CF68-44D4-8719-973AE448B992 4 0.5781 0.6691 0.072 0.008 0.212 0.708
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 4 0.3257 0.7547 0.000 0.152 0.004 0.844
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 3 0.2224 0.7462 0.032 0.000 0.928 0.040
#> 3282F146-2782-4877-9EFE-6020AC277A8C 4 0.3708 0.7512 0.000 0.148 0.020 0.832
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 4 0.5950 0.7594 0.000 0.148 0.156 0.696
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 2 0.5259 0.2854 0.004 0.612 0.008 0.376
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.0336 0.9136 0.000 0.992 0.000 0.008
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 4 0.5872 0.7134 0.012 0.068 0.216 0.704
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.0336 0.9191 0.000 0.992 0.000 0.008
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 1 0.3894 0.7978 0.844 0.000 0.068 0.088
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 4 0.4790 0.6100 0.000 0.000 0.380 0.620
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 4 0.6201 0.7313 0.000 0.124 0.212 0.664
#> C945DDA9-0194-46F4-89E2-13883284D5A4 4 0.4746 0.3653 0.000 0.000 0.368 0.632
#> 79B11925-9772-474F-A729-D00315959710 1 0.1118 0.8437 0.964 0.000 0.000 0.036
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 4 0.4972 0.3296 0.000 0.456 0.000 0.544
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 1 0.3894 0.7978 0.844 0.000 0.068 0.088
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 4 0.4522 0.6621 0.000 0.000 0.320 0.680
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.1118 0.8437 0.964 0.000 0.000 0.036
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.2868 0.7758 0.000 0.864 0.000 0.136
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 1 0.5324 0.7218 0.760 0.008 0.148 0.084
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.0921 0.7704 0.000 0.000 0.972 0.028
#> 26796E5F-C0C2-466C-9012-882F6D29C149 4 0.3598 0.6666 0.000 0.028 0.124 0.848
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 0.1557 0.8335 0.944 0.000 0.000 0.056
#> 1492D21A-6458-4B49-B530-7A327FCDD031 1 0.7299 0.4380 0.520 0.000 0.184 0.296
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 4 0.5940 0.7452 0.000 0.120 0.188 0.692
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 4 0.3479 0.7565 0.000 0.148 0.012 0.840
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.3392 0.8182 0.872 0.000 0.056 0.072
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 4 0.7332 0.4252 0.196 0.008 0.228 0.568
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.0336 0.9191 0.000 0.992 0.000 0.008
#> E846120D-D9E6-46F8-9647-2272AB064072 1 0.3778 0.7831 0.848 0.000 0.100 0.052
#> 36880C8C-91A9-49A9-A2D5-957161737F31 2 0.0672 0.9167 0.000 0.984 0.008 0.008
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.0336 0.9191 0.000 0.992 0.000 0.008
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 2 0.1377 0.9032 0.008 0.964 0.008 0.020
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 1 0.2730 0.8238 0.896 0.000 0.016 0.088
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 4 0.5756 0.6764 0.084 0.000 0.224 0.692
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 2 0.0336 0.9148 0.000 0.992 0.008 0.000
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 3 0.3942 0.7912 0.000 0.000 0.764 0.236
#> 116F3F29-AB89-4F00-9003-559041E285EB 4 0.4994 -0.2911 0.000 0.000 0.480 0.520
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.0672 0.9110 0.000 0.984 0.008 0.008
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 3 0.1302 0.7702 0.000 0.000 0.956 0.044
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 4 0.4868 0.5997 0.000 0.304 0.012 0.684
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 4 0.5705 0.7357 0.000 0.092 0.204 0.704
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 1 0.0804 0.8399 0.980 0.000 0.008 0.012
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 2 0.4746 0.2509 0.000 0.632 0.000 0.368
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 3 0.6160 0.5091 0.000 0.316 0.612 0.072
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.1118 0.8437 0.964 0.000 0.000 0.036
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 3 0.0707 0.7820 0.000 0.000 0.980 0.020
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.0336 0.9191 0.000 0.992 0.000 0.008
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 3 0.1302 0.7731 0.000 0.000 0.956 0.044
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 1 0.5938 0.7260 0.676 0.000 0.232 0.092
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 4 0.3583 0.7427 0.000 0.180 0.004 0.816
#> CD576099-5450-4232-9B59-08341BED8FFA 4 0.5234 0.7668 0.000 0.152 0.096 0.752
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 4 0.3306 0.7542 0.000 0.156 0.004 0.840
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 1 0.1118 0.8437 0.964 0.000 0.000 0.036
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 1 0.0188 0.8422 0.996 0.000 0.000 0.004
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 2 0.0592 0.9155 0.000 0.984 0.000 0.016
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 4 0.3958 0.7513 0.000 0.144 0.032 0.824
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 3 0.3907 0.7918 0.000 0.000 0.768 0.232
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 1 0.1118 0.8437 0.964 0.000 0.000 0.036
#> 57E380FC-B6AB-466F-9936-D52192888008 1 0.8402 0.1553 0.444 0.044 0.168 0.344
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 4 0.4088 0.7500 0.000 0.140 0.040 0.820
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 1 0.1118 0.8437 0.964 0.000 0.000 0.036
#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 4 0.3208 0.7545 0.000 0.148 0.004 0.848
#> 1D4F0B66-720D-484D-B8D5-2B290ED208A8 3 0.4040 0.7867 0.000 0.000 0.752 0.248
#> C886CA33-5080-4E3E-88A2-F9A3CF03A857 3 0.0707 0.7708 0.000 0.000 0.980 0.020
#> 9AC963E4-F82D-460E-9CAD-C651B879780A 4 0.4746 0.5391 0.000 0.368 0.000 0.632
#> 1B6CF403-D0AE-4FFE-A884-660A58F32660 3 0.4941 0.4863 0.000 0.000 0.564 0.436
#> B33316E1-11FD-4C10-956A-C9C6F78508C5 1 0.5204 0.7649 0.752 0.000 0.160 0.088
#> BB02EF6A-C57D-4A79-99C1-ED43A72FFAF7 2 0.0592 0.9155 0.000 0.984 0.000 0.016
#> 4DBA59AD-9393-4BE6-88CB-852C62C4A334 3 0.3907 0.7918 0.000 0.000 0.768 0.232
#> 7887EDC4-A0D7-4E57-B3A1-330A5683457D 4 0.5809 0.6687 0.092 0.000 0.216 0.692
#> 2CD3AC14-46FB-4260-AE5C-4305C68D49BC 4 0.4452 0.7660 0.000 0.156 0.048 0.796
#> BAB8FA79-208A-488D-B955-806263E5D6BB 4 0.3913 0.7521 0.000 0.148 0.028 0.824
#> 98C990E7-7E3B-4200-A88D-E641931302EA 1 0.1118 0.8437 0.964 0.000 0.000 0.036
#> 894EE382-5ACA-4DEB-9267-99ADBEF6DA19 4 0.3351 0.7548 0.000 0.148 0.008 0.844
#> 98795F95-D26D-438A-AF46-B3BC3553F020 3 0.2921 0.8077 0.000 0.000 0.860 0.140
#> 9AD4C328-1554-4C92-931C-30CE8F305FDE 1 0.0672 0.8428 0.984 0.000 0.008 0.008
#> 4D1518D9-D968-4E7F-A702-5157A1A2E83E 1 0.1256 0.8438 0.964 0.000 0.008 0.028
#> A6E8AF8C-5D7B-4197-990B-786A869ACB96 1 0.1211 0.8441 0.960 0.000 0.000 0.040
#> DF8B4E19-8C78-4A68-8FAE-DFF01076BC97 3 0.5602 0.3729 0.000 0.408 0.568 0.024
#> 8D2C608F-3280-4CA2-B996-9AE3DBDBBD28 3 0.2101 0.7714 0.000 0.012 0.928 0.060
#> E7BCBD8D-1219-4A99-948A-47A258A5CD8B 4 0.3479 0.7538 0.000 0.148 0.012 0.840
#> 2C9633A5-8ACB-4D16-8120-F098BA14BB04 2 0.0336 0.9191 0.000 0.992 0.000 0.008
#> 985D9304-E4DA-4038-B235-067CBFEAC902 2 0.0336 0.9191 0.000 0.992 0.000 0.008
#> D34CE243-6F4F-4158-9FC4-77E1640E8A91 2 0.0336 0.9191 0.000 0.992 0.000 0.008
#> 65131575-48D3-42C2-B411-3DB871EF5EE1 4 0.4780 0.7688 0.000 0.116 0.096 0.788
#> 1AE13DFA-670C-43EE-9898-8FA831AEDDB3 3 0.4008 0.7888 0.000 0.000 0.756 0.244
#> 3ACDCD29-1B8D-455D-9EE9-D6C903B16D09 4 0.5723 0.6715 0.084 0.000 0.220 0.696
#> C6FBC35B-0113-4F00-BE1A-831D2C551055 1 0.7363 0.4844 0.520 0.000 0.208 0.272
#> A8F3285D-A85E-4E73-9D20-9D14AA51916B 3 0.3975 0.7906 0.000 0.000 0.760 0.240
#> 51601A73-2D75-4056-AEBB-8FF8DB813450 3 0.3444 0.8042 0.000 0.000 0.816 0.184
#> 75021778-A96B-4F57-8C26-68E8F33D7EB7 4 0.6027 0.7445 0.000 0.124 0.192 0.684
#> 71FFB439-22A1-4EBB-AEA6-A6BCA8CA6648 3 0.0592 0.7761 0.000 0.000 0.984 0.016
#> BEDB0135-0A26-44EF-9028-C4907403B110 3 0.2081 0.7522 0.000 0.000 0.916 0.084
#> 3B8BA56B-0E7B-4754-8729-8D613D0484E1 1 0.0336 0.8416 0.992 0.000 0.000 0.008
#> 100BF963-6103-45E6-A760-E44649580CF5 4 0.3552 0.7633 0.000 0.128 0.024 0.848
#> C26F21EA-5911-483F-BF64-03904BF93A20 4 0.6075 0.6465 0.000 0.288 0.076 0.636
#> 9E50162D-8149-41D2-86C1-1C892EB98DFA 4 0.4898 0.7683 0.000 0.116 0.104 0.780
#> 09521B29-B002-4AAD-93F1-6E600DD31515 2 0.0336 0.9191 0.000 0.992 0.000 0.008
#> 45FD44A6-7976-4453-BD3F-99D21DA3ECC2 1 0.5250 0.7547 0.744 0.000 0.176 0.080
#> 9EE0976F-1422-4F65-8837-93A192984CDF 3 0.3486 0.8035 0.000 0.000 0.812 0.188
#> 2FBAA1AA-39F7-4C58-A7DA-76B1F4B26B2E 2 0.0336 0.9191 0.000 0.992 0.000 0.008
#> B7A695A4-0B74-41E9-8662-4010C8CA38F0 4 0.5800 0.6928 0.060 0.012 0.224 0.704
#> E9013476-D037-41EA-921E-E9E62E93B75C 1 0.2081 0.8300 0.916 0.000 0.000 0.084
#> 13FD88E9-3B06-4CB6-949F-395DDDE4B75B 4 0.6534 0.7083 0.000 0.220 0.148 0.632
#> 9103E60E-D1FC-4F0F-B2CD-751921E14EBA 3 0.0469 0.7784 0.000 0.000 0.988 0.012
#> 4AEFB9F1-A55D-472E-A963-5BB3364D9D8C 2 0.1022 0.9048 0.000 0.968 0.000 0.032
#> 05B80211-2230-436E-BA34-FD48337A5DE0 2 0.0376 0.9176 0.000 0.992 0.004 0.004
#> 6B206166-85BC-4A1A-BDD2-B249652FC09E 1 0.4636 0.7559 0.772 0.000 0.188 0.040
#> 3EA60F08-5232-4A97-A656-2A0A2F5CED07 3 0.3837 0.8002 0.000 0.000 0.776 0.224
#> 9C55C086-682B-4D21-9C77-085CFE45A07E 4 0.5392 0.6841 0.072 0.000 0.204 0.724
#> B0CE5521-96E9-4087-89EE-309D785C0F96 2 0.5728 0.2503 0.000 0.600 0.364 0.036
#> 6BF76FE6-F1DA-48F2-B55D-CB106905EA8F 2 0.5928 -0.0756 0.000 0.508 0.456 0.036
#> D2ECDADA-9D0D-4044-8C61-353CCE45C0E6 2 0.5172 0.1017 0.000 0.588 0.008 0.404
#> 9565D04D-EC61-4EF8-8519-0D84CFB0C794 2 0.0336 0.9191 0.000 0.992 0.000 0.008
#> EBAFE057-B387-4D2B-8D91-25C83221816D 2 0.2345 0.8271 0.000 0.900 0.000 0.100
#> 2CDB897D-ABAF-4EBB-837C-05CC7691D20E 4 0.5661 0.6717 0.080 0.000 0.220 0.700
#> FD2F4E8A-F89C-4016-B275-13FC6B4121E9 4 0.4985 0.2578 0.000 0.468 0.000 0.532
#> 1E27DDFF-D487-4CBF-80BC-506CC7C7C74D 4 0.3913 0.7521 0.000 0.148 0.028 0.824
#> 1DD990EF-74A8-4503-B801-C01D6C171E2E 2 0.0188 0.9153 0.000 0.996 0.000 0.004
#> 4D2DF3FF-343A-4D29-9230-015131B45BD2 2 0.0592 0.9155 0.000 0.984 0.000 0.016
#> B9949248-D762-4591-B8D6-C296C2B28D8C 3 0.5691 0.3730 0.000 0.408 0.564 0.028
#> 2D839843-4C8D-400D-8EFF-2BF9B94A27AA 4 0.4564 0.6528 0.000 0.000 0.328 0.672
#> 78C429CC-D631-43EA-9049-DAC326C98BDD 2 0.4866 0.1232 0.000 0.596 0.000 0.404
#> 71241674-DF93-4CA0-A81D-AF85B6479F62 4 0.3399 0.7506 0.000 0.092 0.040 0.868
#> 76277FC9-E447-49A4-9407-81917C90ECBD 4 0.6389 0.7122 0.072 0.036 0.200 0.692
#> 79DE0216-2CBB-4057-AC90-0366A494F106 1 0.1118 0.8437 0.964 0.000 0.000 0.036
#> 3B842084-AE30-4666-B80A-8FA36EF628F3 4 0.7229 0.2457 0.356 0.008 0.120 0.516
#> 57200367-96F1-48B9-AB7F-DC11EFE866C4 4 0.3123 0.6413 0.000 0.000 0.156 0.844
#> 219B7654-6065-41D3-964B-C829364CD87B 3 0.4188 0.7887 0.000 0.004 0.752 0.244
#> 26923D9B-CE8E-400E-93CD-E0EE1401CB9D 4 0.4322 0.7663 0.000 0.152 0.044 0.804
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#> 62F3327F-FB16-4AD0-BCF5-B180F28281A9 2 0.4605 0.3489 0.000 0.664 0.000 0.336
#> 112F7032-0212-4939-9449-D67E3600CCD5 2 0.5681 0.1395 0.000 0.568 0.404 0.028
#> A3B4DE21-DDF0-4468-A300-7BECBAFD0BCD 1 0.7325 0.4758 0.528 0.000 0.208 0.264
#> 0A03E593-6931-419C-AE47-51D75185C2C0 3 0.4049 0.7898 0.000 0.008 0.780 0.212
#> 2416A3DC-A563-4FD1-A139-0E6EF7185211 2 0.0592 0.9155 0.000 0.984 0.000 0.016
#> 18B29573-822C-405F-B793-DBC8924866CE 2 0.0336 0.9191 0.000 0.992 0.000 0.008
#> 994EC227-B239-4CEE-AC96-EB5CC0AF583E 1 0.5003 0.7592 0.768 0.000 0.148 0.084
#> 950933A3-5757-4914-9DC5-C220C2A455FD 3 0.3873 0.7925 0.000 0.000 0.772 0.228
#> DBDFE95C-F941-407A-BE7D-D43D50143C4D 2 0.0804 0.9085 0.000 0.980 0.008 0.012
#> D024393C-29D0-41C4-AB86-7E94581FDD26 4 0.3913 0.7521 0.000 0.148 0.028 0.824
#> 4975AB35-93E5-400D-A429-CEA81BA89FFE 1 0.7521 0.4424 0.488 0.000 0.220 0.292
#> 666ADCA2-1AE4-4843-B1C8-8EE29C44AE74 4 0.5256 0.6212 0.204 0.000 0.064 0.732
#> A8F79C08-3943-4707-ADCB-890A955B5394 2 0.0336 0.9191 0.000 0.992 0.000 0.008
#> A81614ED-14CB-4EBC-988E-F67FBCBF62D8 2 0.0336 0.9148 0.000 0.992 0.008 0.000
#> E27E65C8-5B57-4C91-9D20-C075AEA2F2C5 1 0.1302 0.8346 0.956 0.000 0.000 0.044
#> 745F18CA-080D-42FE-BAA6-89AD7E3D3408 4 0.3837 0.7185 0.000 0.224 0.000 0.776
#> E755A625-799D-4A39-9D56-080228E0B669 2 0.2732 0.8336 0.076 0.904 0.008 0.012
#> 3D94EFB8-94D4-4FDE-97D8-18A159279996 3 0.5182 0.5910 0.000 0.288 0.684 0.028
#> 3D305C2E-6C86-4684-AA2A-155291AB4CC3 1 0.1118 0.8437 0.964 0.000 0.000 0.036
#> E140052A-5434-4C44-9873-0318D1D272CA 2 0.0336 0.9191 0.000 0.992 0.000 0.008
#> 68E56692-D46D-4A27-86CD-717E10AADDDA 3 0.3907 0.7918 0.000 0.000 0.768 0.232
#> 00A0586E-5F05-47B3-925C-87E811B0893B 3 0.1211 0.7655 0.000 0.000 0.960 0.040
#> E2B019A7-7C95-40FE-800C-D30E9730825C 1 0.6722 0.4684 0.500 0.000 0.408 0.092
#> 1B9ABB69-5CC6-4B6B-ABBC-71CC3274C7F0 1 0.5834 0.6903 0.704 0.000 0.172 0.124
#> FAE396AA-3C3C-4AF9-953D-385C41B2DB5B 4 0.6576 0.6212 0.168 0.000 0.200 0.632
#> 6BE4397D-1E5B-4486-83B4-EE0EC146C805 2 0.0336 0.9191 0.000 0.992 0.000 0.008
#> EE38BD4E-5A08-4639-912F-04203F53762F 1 0.1452 0.8429 0.956 0.000 0.008 0.036
#> 4050E7F8-80B6-46F2-8FF0-D4EC313E975B 3 0.1022 0.7795 0.000 0.000 0.968 0.032
#> F3565161-FFBE-4138-9773-558DB386710C 1 0.1118 0.8437 0.964 0.000 0.000 0.036
#> BA9ABEB1-D3F0-4F09-A647-25211C47C3D0 2 0.0336 0.9191 0.000 0.992 0.000 0.008
#> 9E41E79A-4028-4F60-8250-411F191B665C 1 0.1452 0.8429 0.956 0.000 0.008 0.036
#> 5F1D3EFD-ECDA-4C92-8D81-491484F09C95 3 0.1807 0.7470 0.008 0.000 0.940 0.052
#> 0DBA04CB-417D-4E2B-BE83-3563F45291C4 1 0.2990 0.8240 0.900 0.056 0.008 0.036
#> B9B882A5-194B-4F5C-B702-0CF71CA6D9D2 4 0.4304 0.6619 0.000 0.284 0.000 0.716
#> 67FE7638-B8F5-4631-B178-AC23B0382983 1 0.2011 0.8416 0.920 0.000 0.000 0.080
#> FE03FC2C-9A4E-4F89-8681-E33DFECCC692 2 0.3791 0.7834 0.108 0.852 0.008 0.032
#> 2B22B4B7-8A39-435C-BE3B-86FA84C8F941 4 0.6393 0.4868 0.000 0.160 0.188 0.652
#> 00844B35-C108-4AEC-A687-4A91A2F33E6D 1 0.1118 0.8437 0.964 0.000 0.000 0.036
#> C221EE7A-6343-4B6D-B322-0A2C0F0B29AF 1 0.1302 0.8450 0.956 0.000 0.000 0.044
#> B28A6D56-7654-4829-BF1F-657C3C2C10D8 1 0.2949 0.8249 0.888 0.000 0.024 0.088
#> F4C7BCEC-3CD4-4D9A-89EA-0ED58EA0DCFE 1 0.2996 0.8278 0.892 0.000 0.064 0.044
#> F06FBFAB-D143-47AE-BEE7-51B48164764F 1 0.4890 0.7826 0.808 0.024 0.084 0.084
#> 525F522B-E865-4479-AE65-510903ABF46F 3 0.6746 0.4947 0.000 0.316 0.568 0.116
#> F0CB60E3-C412-46A2-918F-8C5C099AB224 4 0.5323 0.7131 0.076 0.004 0.172 0.748
#> 587F307F-6E1B-487E-8E47-A99AB43DC5B4 3 0.0592 0.7761 0.000 0.000 0.984 0.016
#> 883D9145-8414-4571-A3E1-516F03452C46 4 0.7942 -0.0560 0.352 0.008 0.216 0.424
#> 4A917271-7EA0-4F43-B474-7F5EA756EB05 1 0.1452 0.8429 0.956 0.000 0.008 0.036
#> BB33015D-218C-4A1E-8839-95837D6E9B88 1 0.7558 0.0731 0.428 0.000 0.192 0.380
#> 021CC81F-710D-4EEA-B1D8-012A81715ACC 1 0.6142 0.6602 0.676 0.000 0.184 0.140
#> B00C4925-47E3-4442-ABEB-82D714A26587 4 0.6040 0.7049 0.044 0.028 0.240 0.688
#> F79B27D3-0426-47BB-9756-7E0759246E5E 2 0.1109 0.8948 0.000 0.968 0.004 0.028
#> 1F179559-D93E-491C-B499-64F86C31DAE0 3 0.2408 0.7308 0.000 0.000 0.896 0.104
#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 4 0.4977 0.3430 0.000 0.000 0.460 0.540
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 1 0.4411 0.7699 0.812 0.000 0.108 0.080
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 1 0.6398 0.5960 0.576 0.000 0.344 0.080
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 2 0.0188 0.9153 0.000 0.996 0.000 0.004
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 4 0.7004 0.6146 0.168 0.012 0.200 0.620
#> ED9794C0-AC60-4B54-8214-D26714871BBF 1 0.0469 0.8398 0.988 0.000 0.000 0.012
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 4 0.3351 0.7548 0.000 0.148 0.008 0.844
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 2 0.0336 0.9191 0.000 0.992 0.000 0.008
#> 18D816AF-394A-482F-B22E-896A43B1E481 2 0.0336 0.9191 0.000 0.992 0.000 0.008
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 4 0.5485 0.6763 0.168 0.008 0.080 0.744
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 3 0.3907 0.7918 0.000 0.000 0.768 0.232
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 2 0.0592 0.9155 0.000 0.984 0.000 0.016
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 3 0.0592 0.7761 0.000 0.000 0.984 0.016
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 4 0.5705 0.7357 0.000 0.092 0.204 0.704
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 4 0.4500 0.6252 0.000 0.316 0.000 0.684
#> 7E809698-2473-4EFE-B896-1637983EC596 4 0.3975 0.7067 0.000 0.240 0.000 0.760
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 3 0.2216 0.8011 0.000 0.000 0.908 0.092
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 3 0.0469 0.7784 0.000 0.000 0.988 0.012
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 2 0.1022 0.9098 0.000 0.968 0.000 0.032
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.0592 0.8428 0.984 0.000 0.000 0.016
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.1022 0.8439 0.968 0.000 0.000 0.032
#> 73F28A79-7D35-4FE9-849D-FFE681483928 4 0.5816 0.6733 0.088 0.000 0.224 0.688
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 1 0.4423 0.7718 0.792 0.000 0.168 0.040
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 3 0.3907 0.7918 0.000 0.000 0.768 0.232
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 1 0.3679 0.7973 0.856 0.000 0.084 0.060
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.0592 0.9164 0.000 0.984 0.000 0.016
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.1118 0.8437 0.964 0.000 0.000 0.036
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 4 0.6695 0.6062 0.164 0.000 0.220 0.616
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 1 0.2882 0.8359 0.892 0.000 0.024 0.084
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 3 0.4996 0.6274 0.076 0.008 0.784 0.132
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.3688 0.8010 0.000 0.000 0.792 0.208
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.1118 0.8437 0.964 0.000 0.000 0.036
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.0188 0.9161 0.000 0.996 0.004 0.000
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 4 0.5863 0.7505 0.000 0.120 0.180 0.700
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.0657 0.9098 0.000 0.984 0.004 0.012
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 4 0.5004 0.4415 0.000 0.392 0.004 0.604
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 4 0.3625 0.7513 0.000 0.160 0.012 0.828
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 4 0.3764 0.7681 0.000 0.116 0.040 0.844
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 4 0.3913 0.7521 0.000 0.148 0.028 0.824
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.1022 0.8439 0.968 0.000 0.000 0.032
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.0469 0.7784 0.000 0.000 0.988 0.012
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.3617 0.7975 0.860 0.000 0.076 0.064
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.2039 0.8396 0.940 0.016 0.008 0.036
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.2142 0.8283 0.928 0.000 0.016 0.056
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.0336 0.9191 0.000 0.992 0.000 0.008
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 3 0.5088 -0.1338 0.004 0.000 0.572 0.424
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.4467 0.7676 0.788 0.000 0.172 0.040
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 4 0.6075 0.7005 0.044 0.040 0.212 0.704
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.1022 0.8439 0.968 0.000 0.000 0.032
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 4 0.4415 0.7643 0.000 0.140 0.056 0.804
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 4 0.3355 0.7525 0.000 0.160 0.004 0.836
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 4 0.6215 0.7400 0.000 0.140 0.192 0.668
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 4 0.4088 0.7500 0.000 0.140 0.040 0.820
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 3 0.3975 0.7906 0.000 0.000 0.760 0.240
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 3 0.4941 0.4760 0.000 0.000 0.564 0.436
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.2300 0.8275 0.920 0.000 0.016 0.064
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.3894 0.7978 0.844 0.000 0.068 0.088
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 4 0.4605 0.6507 0.000 0.000 0.336 0.664
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.2032 0.8601 0.000 0.936 0.036 0.028
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.0188 0.9153 0.000 0.996 0.000 0.004
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 4 0.4072 0.5054 0.000 0.000 0.252 0.748
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.4040 0.7886 0.000 0.000 0.752 0.248
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.0376 0.9176 0.000 0.992 0.004 0.004
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 4 0.3306 0.7542 0.000 0.156 0.004 0.840
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 4 0.3913 0.7521 0.000 0.148 0.028 0.824
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.4253 0.7019 0.000 0.208 0.776 0.016
#> CA356591-D24F-41A8-8C9A-1178C7781510 4 0.4319 0.5373 0.000 0.012 0.228 0.760
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.0469 0.7784 0.000 0.000 0.988 0.012
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.0921 0.8440 0.972 0.000 0.000 0.028
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 4 0.3318 0.60364 0.000 0.000 0.180 0.808 0.012
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.6175 0.49552 0.000 0.288 0.596 0.044 0.072
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 4 0.2644 0.68226 0.000 0.012 0.088 0.888 0.012
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.0000 0.90199 0.000 1.000 0.000 0.000 0.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 4 0.3224 0.63649 0.000 0.000 0.160 0.824 0.016
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 1 0.6353 0.14763 0.480 0.348 0.000 0.000 0.172
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 4 0.3419 0.57487 0.000 0.000 0.180 0.804 0.016
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 4 0.2696 0.69270 0.000 0.012 0.052 0.896 0.040
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.0000 0.90199 0.000 1.000 0.000 0.000 0.000
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.0000 0.90199 0.000 1.000 0.000 0.000 0.000
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.2077 0.86368 0.008 0.908 0.000 0.000 0.084
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.3517 0.71330 0.084 0.000 0.840 0.004 0.072
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.4010 0.46670 0.792 0.000 0.136 0.000 0.072
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.0324 0.89977 0.000 0.992 0.000 0.004 0.004
#> ECB2DF14-CF68-44D4-8719-973AE448B992 5 0.6369 -0.11512 0.092 0.000 0.024 0.392 0.492
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 4 0.2551 0.69289 0.000 0.012 0.044 0.904 0.040
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 3 0.5013 0.61077 0.204 0.000 0.696 0.000 0.100
#> 3282F146-2782-4877-9EFE-6020AC277A8C 4 0.1877 0.68341 0.000 0.012 0.064 0.924 0.000
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 4 0.4275 0.66069 0.000 0.012 0.056 0.784 0.148
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 4 0.7797 0.21799 0.056 0.240 0.004 0.396 0.304
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.0912 0.89360 0.000 0.972 0.000 0.012 0.016
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 5 0.6945 0.04366 0.172 0.000 0.024 0.348 0.456
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.0000 0.90199 0.000 1.000 0.000 0.000 0.000
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 1 0.1399 0.49105 0.952 0.000 0.020 0.000 0.028
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 4 0.6459 0.42748 0.004 0.000 0.304 0.508 0.184
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 4 0.5369 0.50707 0.004 0.012 0.036 0.608 0.340
#> C945DDA9-0194-46F4-89E2-13883284D5A4 4 0.4779 0.47085 0.000 0.000 0.388 0.588 0.024
#> 79B11925-9772-474F-A729-D00315959710 1 0.4268 0.53789 0.556 0.000 0.000 0.000 0.444
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 4 0.3430 0.55597 0.000 0.220 0.000 0.776 0.004
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 1 0.1117 0.49681 0.964 0.000 0.016 0.000 0.020
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 4 0.6109 0.43858 0.000 0.000 0.148 0.532 0.320
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 5 0.4182 -0.25666 0.400 0.000 0.000 0.000 0.600
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.4522 0.67931 0.000 0.736 0.000 0.196 0.068
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 1 0.1485 0.48597 0.948 0.000 0.020 0.000 0.032
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.4270 0.68607 0.060 0.000 0.772 0.004 0.164
#> 26796E5F-C0C2-466C-9012-882F6D29C149 4 0.0955 0.68312 0.000 0.000 0.028 0.968 0.004
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#> 2B22B4B7-8A39-435C-BE3B-86FA84C8F941 4 0.5041 0.45919 0.000 0.028 0.152 0.740 0.080
#> 00844B35-C108-4AEC-A687-4A91A2F33E6D 1 0.4262 0.53849 0.560 0.000 0.000 0.000 0.440
#> C221EE7A-6343-4B6D-B322-0A2C0F0B29AF 1 0.4201 0.54180 0.592 0.000 0.000 0.000 0.408
#> B28A6D56-7654-4829-BF1F-657C3C2C10D8 1 0.2813 0.32666 0.832 0.000 0.000 0.000 0.168
#> F4C7BCEC-3CD4-4D9A-89EA-0ED58EA0DCFE 5 0.3318 0.32182 0.192 0.000 0.000 0.008 0.800
#> F06FBFAB-D143-47AE-BEE7-51B48164764F 1 0.3481 0.41264 0.852 0.044 0.020 0.000 0.084
#> 525F522B-E865-4479-AE65-510903ABF46F 3 0.7338 0.50964 0.000 0.128 0.500 0.284 0.088
#> F0CB60E3-C412-46A2-918F-8C5C099AB224 4 0.4856 0.44198 0.000 0.000 0.028 0.584 0.388
#> 587F307F-6E1B-487E-8E47-A99AB43DC5B4 3 0.3085 0.72488 0.060 0.000 0.868 0.004 0.068
#> 883D9145-8414-4571-A3E1-516F03452C46 5 0.6440 0.38215 0.348 0.000 0.008 0.148 0.496
#> 4A917271-7EA0-4F43-B474-7F5EA756EB05 1 0.4283 0.53505 0.544 0.000 0.000 0.000 0.456
#> BB33015D-218C-4A1E-8839-95837D6E9B88 5 0.3210 0.48072 0.036 0.000 0.020 0.076 0.868
#> 021CC81F-710D-4EEA-B1D8-012A81715ACC 5 0.3891 0.40176 0.136 0.000 0.016 0.036 0.812
#> B00C4925-47E3-4442-ABEB-82D714A26587 4 0.5961 0.43488 0.000 0.004 0.104 0.536 0.356
#> F79B27D3-0426-47BB-9756-7E0759246E5E 2 0.3880 0.78088 0.000 0.828 0.096 0.024 0.052
#> 1F179559-D93E-491C-B499-64F86C31DAE0 3 0.6613 0.32066 0.356 0.000 0.500 0.028 0.116
#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 4 0.5921 0.28331 0.004 0.000 0.452 0.456 0.088
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 1 0.1399 0.49105 0.952 0.000 0.020 0.000 0.028
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 1 0.6279 -0.09313 0.504 0.000 0.168 0.000 0.328
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 2 0.0324 0.90037 0.004 0.992 0.000 0.000 0.004
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 5 0.3700 0.43562 0.000 0.000 0.008 0.240 0.752
#> ED9794C0-AC60-4B54-8214-D26714871BBF 1 0.4262 0.54257 0.560 0.000 0.000 0.000 0.440
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 4 0.1267 0.68784 0.000 0.012 0.024 0.960 0.004
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 2 0.0000 0.90199 0.000 1.000 0.000 0.000 0.000
#> 18D816AF-394A-482F-B22E-896A43B1E481 2 0.0000 0.90199 0.000 1.000 0.000 0.000 0.000
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 5 0.5388 0.36687 0.012 0.000 0.084 0.232 0.672
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 3 0.1638 0.74728 0.000 0.000 0.932 0.064 0.004
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 2 0.3671 0.69911 0.000 0.756 0.000 0.236 0.008
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 3 0.3805 0.70492 0.092 0.000 0.820 0.004 0.084
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 4 0.5031 0.46120 0.000 0.008 0.024 0.584 0.384
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 4 0.3955 0.65257 0.000 0.064 0.004 0.804 0.128
#> 7E809698-2473-4EFE-B896-1637983EC596 4 0.3556 0.67093 0.000 0.036 0.012 0.836 0.116
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 3 0.1750 0.74074 0.028 0.000 0.936 0.000 0.036
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 3 0.3629 0.70934 0.092 0.000 0.832 0.004 0.072
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 2 0.5079 0.56043 0.000 0.640 0.020 0.316 0.024
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.4262 0.54257 0.560 0.000 0.000 0.000 0.440
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.4273 0.53849 0.552 0.000 0.000 0.000 0.448
#> 73F28A79-7D35-4FE9-849D-FFE681483928 4 0.5808 0.37698 0.000 0.000 0.096 0.512 0.392
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 5 0.3875 0.21723 0.228 0.000 0.012 0.004 0.756
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 3 0.2179 0.74228 0.000 0.000 0.896 0.100 0.004
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 1 0.1522 0.51193 0.944 0.000 0.012 0.000 0.044
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.0162 0.90045 0.000 0.996 0.000 0.004 0.000
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.4268 0.53956 0.556 0.000 0.000 0.000 0.444
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 5 0.4759 0.19863 0.004 0.000 0.024 0.336 0.636
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 1 0.4015 0.16316 0.652 0.000 0.000 0.000 0.348
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 1 0.6745 -0.18248 0.444 0.000 0.124 0.028 0.404
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.1043 0.75068 0.000 0.000 0.960 0.040 0.000
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.4273 0.53849 0.552 0.000 0.000 0.000 0.448
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.0000 0.90199 0.000 1.000 0.000 0.000 0.000
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 4 0.5258 0.62674 0.000 0.012 0.124 0.708 0.156
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.0771 0.89438 0.000 0.976 0.000 0.004 0.020
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 4 0.4364 0.58434 0.000 0.052 0.092 0.804 0.052
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 4 0.1883 0.68714 0.000 0.012 0.048 0.932 0.008
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 4 0.4928 0.47547 0.000 0.008 0.020 0.596 0.376
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 4 0.2407 0.68091 0.000 0.012 0.088 0.896 0.004
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.4268 0.54087 0.556 0.000 0.000 0.000 0.444
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.3689 0.70882 0.092 0.000 0.828 0.004 0.076
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.1018 0.51313 0.968 0.000 0.016 0.000 0.016
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.5295 0.48474 0.488 0.048 0.000 0.000 0.464
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.0955 0.51932 0.968 0.000 0.004 0.000 0.028
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.0000 0.90199 0.000 1.000 0.000 0.000 0.000
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 3 0.7674 -0.20047 0.048 0.000 0.340 0.280 0.332
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 5 0.3720 0.23070 0.228 0.000 0.012 0.000 0.760
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 4 0.5411 0.33115 0.028 0.000 0.016 0.500 0.456
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.4273 0.53849 0.552 0.000 0.000 0.000 0.448
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 4 0.3316 0.69056 0.000 0.012 0.056 0.860 0.072
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 4 0.1179 0.68387 0.000 0.016 0.016 0.964 0.004
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 4 0.5021 0.42370 0.000 0.008 0.020 0.556 0.416
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 4 0.2756 0.68098 0.000 0.012 0.096 0.880 0.012
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 3 0.3992 0.64817 0.000 0.000 0.720 0.268 0.012
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 4 0.4331 0.12440 0.000 0.000 0.400 0.596 0.004
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.0404 0.51503 0.988 0.000 0.000 0.000 0.012
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.0451 0.50859 0.988 0.000 0.008 0.000 0.004
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 4 0.5958 0.41016 0.004 0.000 0.100 0.524 0.372
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.4062 0.78400 0.000 0.820 0.084 0.028 0.068
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.2888 0.84456 0.000 0.880 0.004 0.056 0.060
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 4 0.4054 0.65040 0.000 0.000 0.204 0.760 0.036
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.5274 0.60584 0.000 0.000 0.600 0.336 0.064
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.0290 0.89937 0.000 0.992 0.000 0.000 0.008
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 4 0.1356 0.68706 0.000 0.012 0.028 0.956 0.004
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 4 0.2532 0.68128 0.000 0.012 0.088 0.892 0.008
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.5470 0.66518 0.012 0.172 0.716 0.024 0.076
#> CA356591-D24F-41A8-8C9A-1178C7781510 4 0.2723 0.65323 0.000 0.000 0.124 0.864 0.012
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.3629 0.70934 0.092 0.000 0.832 0.004 0.072
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.4249 0.54310 0.568 0.000 0.000 0.000 0.432
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 4 0.1630 0.65638 0.000 0.000 0.016 0.940 0.024 0.020
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.7408 0.49500 0.000 0.220 0.480 0.092 0.036 0.172
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 4 0.2623 0.69160 0.000 0.000 0.016 0.852 0.132 0.000
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.0146 0.87607 0.000 0.996 0.004 0.000 0.000 0.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 4 0.4101 0.64066 0.000 0.000 0.032 0.768 0.160 0.040
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 6 0.6918 0.26543 0.216 0.280 0.004 0.000 0.060 0.440
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 4 0.1515 0.63895 0.000 0.000 0.020 0.944 0.008 0.028
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 4 0.3672 0.66331 0.000 0.000 0.008 0.780 0.176 0.036
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.0000 0.87644 0.000 1.000 0.000 0.000 0.000 0.000
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.0146 0.87607 0.000 0.996 0.004 0.000 0.000 0.000
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.3890 0.78055 0.004 0.804 0.004 0.016 0.056 0.116
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.1720 0.67003 0.000 0.000 0.928 0.000 0.040 0.032
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.5196 -0.46756 0.520 0.000 0.080 0.004 0.000 0.396
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.0405 0.87367 0.000 0.988 0.000 0.008 0.000 0.004
#> ECB2DF14-CF68-44D4-8719-973AE448B992 5 0.2357 0.62894 0.004 0.000 0.004 0.012 0.888 0.092
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 4 0.3737 0.66310 0.000 0.000 0.008 0.772 0.184 0.036
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 3 0.3440 0.53228 0.000 0.000 0.776 0.000 0.028 0.196
#> 3282F146-2782-4877-9EFE-6020AC277A8C 4 0.2191 0.69448 0.000 0.000 0.004 0.876 0.120 0.000
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 4 0.6156 0.11590 0.000 0.000 0.096 0.460 0.392 0.052
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 5 0.5501 0.49412 0.000 0.076 0.008 0.032 0.628 0.256
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.2709 0.82834 0.000 0.884 0.000 0.044 0.032 0.040
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 5 0.3792 0.58714 0.004 0.000 0.004 0.032 0.764 0.196
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.0000 0.87644 0.000 1.000 0.000 0.000 0.000 0.000
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 6 0.4606 0.67062 0.312 0.000 0.032 0.000 0.016 0.640
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 5 0.5964 0.41643 0.000 0.000 0.332 0.092 0.528 0.048
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 5 0.5250 0.46862 0.000 0.000 0.008 0.172 0.636 0.184
#> C945DDA9-0194-46F4-89E2-13883284D5A4 3 0.6300 -0.12573 0.000 0.000 0.416 0.324 0.248 0.012
#> 79B11925-9772-474F-A729-D00315959710 1 0.1398 0.63147 0.940 0.000 0.000 0.000 0.008 0.052
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 4 0.5554 0.59221 0.000 0.104 0.004 0.680 0.100 0.112
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 6 0.4437 0.66015 0.348 0.000 0.020 0.000 0.012 0.620
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 5 0.4836 0.59478 0.000 0.000 0.164 0.080 0.716 0.040
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.4847 0.52705 0.656 0.000 0.000 0.000 0.220 0.124
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.6657 0.36216 0.000 0.540 0.004 0.096 0.208 0.152
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 6 0.4667 0.66999 0.328 0.000 0.032 0.000 0.016 0.624
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.3388 0.62979 0.000 0.000 0.804 0.004 0.156 0.036
#> 26796E5F-C0C2-466C-9012-882F6D29C149 4 0.3633 0.67370 0.000 0.000 0.004 0.800 0.120 0.076
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 6 0.3847 0.58366 0.456 0.000 0.000 0.000 0.000 0.544
#> 1492D21A-6458-4B49-B530-7A327FCDD031 5 0.3739 0.53559 0.040 0.000 0.008 0.000 0.776 0.176
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 5 0.4767 0.26736 0.000 0.000 0.008 0.356 0.592 0.044
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 4 0.3570 0.62677 0.000 0.000 0.004 0.752 0.228 0.016
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.4977 0.43647 0.552 0.000 0.000 0.000 0.372 0.076
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 5 0.4775 0.48130 0.004 0.000 0.084 0.000 0.656 0.256
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.0000 0.87644 0.000 1.000 0.000 0.000 0.000 0.000
#> E846120D-D9E6-46F8-9647-2272AB064072 6 0.4589 0.57234 0.460 0.000 0.036 0.000 0.000 0.504
#> 36880C8C-91A9-49A9-A2D5-957161737F31 2 0.1534 0.85138 0.032 0.944 0.004 0.000 0.004 0.016
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.0000 0.87644 0.000 1.000 0.000 0.000 0.000 0.000
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 2 0.0767 0.86979 0.000 0.976 0.004 0.000 0.008 0.012
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 6 0.4278 0.65523 0.352 0.000 0.008 0.000 0.016 0.624
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 5 0.3063 0.63764 0.004 0.000 0.016 0.080 0.860 0.040
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 2 0.0767 0.86979 0.000 0.976 0.004 0.000 0.008 0.012
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 3 0.4392 0.54399 0.000 0.000 0.628 0.332 0.000 0.040
#> 116F3F29-AB89-4F00-9003-559041E285EB 4 0.2222 0.60779 0.000 0.000 0.040 0.908 0.012 0.040
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.1317 0.86204 0.016 0.956 0.004 0.000 0.008 0.016
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 3 0.5003 0.39421 0.000 0.000 0.596 0.012 0.332 0.060
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 4 0.4452 0.65524 0.000 0.032 0.004 0.764 0.108 0.092
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 5 0.4468 0.58884 0.000 0.000 0.056 0.144 0.752 0.048
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 1 0.0806 0.63466 0.972 0.000 0.000 0.000 0.008 0.020
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 5 0.7617 0.07227 0.000 0.232 0.004 0.220 0.372 0.172
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 5 0.7853 0.17702 0.000 0.080 0.084 0.128 0.376 0.332
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.0146 0.64031 0.996 0.000 0.000 0.000 0.004 0.000
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 3 0.1341 0.67383 0.000 0.000 0.948 0.000 0.024 0.028
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#> 587F307F-6E1B-487E-8E47-A99AB43DC5B4 3 0.0964 0.68280 0.000 0.000 0.968 0.004 0.012 0.016
#> 883D9145-8414-4571-A3E1-516F03452C46 5 0.3489 0.42477 0.004 0.000 0.000 0.000 0.708 0.288
#> 4A917271-7EA0-4F43-B474-7F5EA756EB05 1 0.0622 0.64001 0.980 0.000 0.000 0.000 0.008 0.012
#> BB33015D-218C-4A1E-8839-95837D6E9B88 5 0.5071 -0.12454 0.400 0.000 0.004 0.000 0.528 0.068
#> 021CC81F-710D-4EEA-B1D8-012A81715ACC 1 0.5244 0.35518 0.496 0.000 0.008 0.000 0.424 0.072
#> B00C4925-47E3-4442-ABEB-82D714A26587 5 0.4487 0.60587 0.000 0.000 0.120 0.096 0.752 0.032
#> F79B27D3-0426-47BB-9756-7E0759246E5E 2 0.5377 0.65637 0.000 0.700 0.020 0.136 0.040 0.104
#> 1F179559-D93E-491C-B499-64F86C31DAE0 3 0.5172 0.22993 0.000 0.000 0.592 0.000 0.284 0.124
#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 3 0.5815 -0.05842 0.000 0.000 0.492 0.124 0.368 0.016
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 6 0.4552 0.66966 0.320 0.000 0.032 0.000 0.012 0.636
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 6 0.5895 0.41085 0.008 0.000 0.220 0.000 0.248 0.524
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 2 0.0405 0.87526 0.000 0.988 0.004 0.000 0.008 0.000
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 5 0.5359 -0.08488 0.388 0.000 0.000 0.036 0.532 0.044
#> ED9794C0-AC60-4B54-8214-D26714871BBF 1 0.0405 0.63467 0.988 0.000 0.000 0.000 0.004 0.008
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 4 0.2882 0.68963 0.000 0.000 0.004 0.848 0.120 0.028
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 2 0.0000 0.87644 0.000 1.000 0.000 0.000 0.000 0.000
#> 18D816AF-394A-482F-B22E-896A43B1E481 2 0.0000 0.87644 0.000 1.000 0.000 0.000 0.000 0.000
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 1 0.6794 0.32394 0.472 0.000 0.016 0.200 0.276 0.036
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 3 0.3582 0.63742 0.000 0.000 0.776 0.192 0.008 0.024
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 2 0.5027 0.48752 0.000 0.624 0.004 0.272 0.000 0.100
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 3 0.1649 0.67282 0.000 0.000 0.932 0.000 0.036 0.032
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 5 0.4086 0.57127 0.000 0.000 0.016 0.188 0.752 0.044
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 5 0.6515 0.12892 0.000 0.036 0.004 0.328 0.460 0.172
#> 7E809698-2473-4EFE-B896-1637983EC596 5 0.6360 0.11038 0.000 0.024 0.004 0.344 0.456 0.172
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 3 0.0964 0.68097 0.000 0.000 0.968 0.004 0.016 0.012
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 3 0.1498 0.67214 0.000 0.000 0.940 0.000 0.032 0.028
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 4 0.5497 0.01952 0.000 0.392 0.000 0.504 0.012 0.092
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.0551 0.63513 0.984 0.000 0.004 0.000 0.004 0.008
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.0291 0.63755 0.992 0.000 0.000 0.000 0.004 0.004
#> 73F28A79-7D35-4FE9-849D-FFE681483928 5 0.4626 0.62328 0.000 0.000 0.120 0.076 0.748 0.056
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 1 0.5105 0.45387 0.564 0.000 0.000 0.000 0.340 0.096
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 3 0.3888 0.61418 0.000 0.000 0.740 0.224 0.008 0.028
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 6 0.3996 0.57002 0.484 0.000 0.004 0.000 0.000 0.512
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.0260 0.87545 0.000 0.992 0.000 0.008 0.000 0.000
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.0291 0.64004 0.992 0.000 0.000 0.000 0.004 0.004
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 5 0.6043 0.29116 0.244 0.000 0.004 0.104 0.588 0.060
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 6 0.5829 0.36768 0.164 0.000 0.004 0.000 0.376 0.456
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 6 0.5457 0.28991 0.004 0.000 0.104 0.004 0.344 0.544
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.1262 0.68968 0.000 0.000 0.956 0.020 0.008 0.016
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.0146 0.64031 0.996 0.000 0.000 0.000 0.004 0.000
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.0436 0.87420 0.000 0.988 0.004 0.000 0.004 0.004
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 5 0.6035 0.40830 0.000 0.000 0.132 0.240 0.576 0.052
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.2259 0.84298 0.000 0.912 0.004 0.024 0.036 0.024
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 4 0.4374 0.55446 0.000 0.020 0.004 0.752 0.064 0.160
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 4 0.2092 0.69389 0.000 0.000 0.000 0.876 0.124 0.000
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 5 0.3409 0.59131 0.000 0.000 0.004 0.184 0.788 0.024
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 4 0.2446 0.69373 0.000 0.000 0.012 0.864 0.124 0.000
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.0291 0.63755 0.992 0.000 0.000 0.000 0.004 0.004
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.1296 0.67365 0.004 0.000 0.952 0.000 0.012 0.032
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 6 0.3966 0.60098 0.444 0.000 0.004 0.000 0.000 0.552
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.2367 0.61199 0.900 0.064 0.004 0.000 0.020 0.012
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 6 0.3828 0.59132 0.440 0.000 0.000 0.000 0.000 0.560
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.0000 0.87644 0.000 1.000 0.000 0.000 0.000 0.000
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 5 0.5221 0.35986 0.000 0.000 0.372 0.020 0.552 0.056
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.5319 0.44081 0.540 0.000 0.008 0.000 0.364 0.088
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 5 0.2903 0.64985 0.004 0.000 0.004 0.052 0.864 0.076
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.0146 0.63926 0.996 0.000 0.000 0.000 0.004 0.000
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 4 0.5481 0.52438 0.000 0.000 0.076 0.632 0.240 0.052
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 4 0.3917 0.66243 0.000 0.004 0.004 0.784 0.124 0.084
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 5 0.3108 0.61308 0.000 0.000 0.000 0.128 0.828 0.044
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 4 0.3014 0.68530 0.000 0.000 0.036 0.832 0.132 0.000
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 4 0.4885 -0.32015 0.000 0.000 0.464 0.484 0.004 0.048
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 4 0.3429 0.55521 0.000 0.000 0.144 0.812 0.016 0.028
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 6 0.3833 0.59915 0.444 0.000 0.000 0.000 0.000 0.556
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 6 0.4165 0.62644 0.420 0.000 0.008 0.000 0.004 0.568
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 5 0.4658 0.60461 0.000 0.000 0.124 0.080 0.744 0.052
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.5169 0.68801 0.000 0.716 0.012 0.128 0.048 0.096
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.4285 0.75079 0.000 0.772 0.004 0.040 0.048 0.136
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 4 0.6372 0.05767 0.000 0.000 0.180 0.412 0.380 0.028
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.6639 0.43262 0.000 0.000 0.432 0.300 0.040 0.228
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.0436 0.87406 0.000 0.988 0.004 0.000 0.004 0.004
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 4 0.2815 0.68917 0.000 0.000 0.000 0.848 0.120 0.032
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 4 0.2489 0.69285 0.000 0.000 0.012 0.860 0.128 0.000
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.6949 0.57789 0.000 0.132 0.560 0.076 0.048 0.184
#> CA356591-D24F-41A8-8C9A-1178C7781510 4 0.2349 0.68511 0.000 0.000 0.020 0.892 0.080 0.008
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.1498 0.67214 0.000 0.000 0.940 0.000 0.032 0.028
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.1219 0.62702 0.948 0.000 0.000 0.000 0.004 0.048
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
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 17888 rows and 430 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 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 0.431 0.642 0.854 0.4997 0.499 0.499
#> 3 3 0.694 0.764 0.899 0.3350 0.719 0.496
#> 4 4 0.726 0.792 0.887 0.1207 0.852 0.596
#> 5 5 0.703 0.558 0.751 0.0624 0.936 0.763
#> 6 6 0.714 0.613 0.765 0.0405 0.896 0.583
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
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 2 0.2043 0.8107 0.032 0.968
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 1 0.9710 0.2240 0.600 0.400
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 2 0.0000 0.8349 0.000 1.000
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.0000 0.8349 0.000 1.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 1 0.7376 0.5803 0.792 0.208
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 2 0.9552 0.1588 0.376 0.624
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 2 0.9635 0.3731 0.388 0.612
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 2 0.0000 0.8349 0.000 1.000
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.0000 0.8349 0.000 1.000
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.0000 0.8349 0.000 1.000
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.6048 0.6695 0.148 0.852
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 1 0.0000 0.7642 1.000 0.000
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.0000 0.7642 1.000 0.000
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.0000 0.8349 0.000 1.000
#> ECB2DF14-CF68-44D4-8719-973AE448B992 1 0.0000 0.7642 1.000 0.000
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 2 0.0000 0.8349 0.000 1.000
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 1 0.0000 0.7642 1.000 0.000
#> 3282F146-2782-4877-9EFE-6020AC277A8C 2 0.0000 0.8349 0.000 1.000
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 2 0.1633 0.8149 0.024 0.976
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 2 0.0000 0.8349 0.000 1.000
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.0000 0.8349 0.000 1.000
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 1 0.9608 0.4705 0.616 0.384
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.0000 0.8349 0.000 1.000
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 1 0.0000 0.7642 1.000 0.000
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 1 0.0000 0.7642 1.000 0.000
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 2 0.0000 0.8349 0.000 1.000
#> C945DDA9-0194-46F4-89E2-13883284D5A4 1 0.4815 0.6905 0.896 0.104
#> 79B11925-9772-474F-A729-D00315959710 1 0.9635 0.4658 0.612 0.388
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 2 0.0000 0.8349 0.000 1.000
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 1 0.0000 0.7642 1.000 0.000
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 1 0.0000 0.7642 1.000 0.000
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.9635 0.4658 0.612 0.388
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.0000 0.8349 0.000 1.000
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 1 0.0000 0.7642 1.000 0.000
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 1 0.0000 0.7642 1.000 0.000
#> 26796E5F-C0C2-466C-9012-882F6D29C149 2 0.9635 0.3731 0.388 0.612
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 0.0000 0.7642 1.000 0.000
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#> F177F929-546B-4A0F-A7F9-32477B32C1DA 2 0.9833 0.2973 0.424 0.576
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.0000 0.7642 1.000 0.000
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.0000 0.7642 1.000 0.000
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 1 0.0000 0.7642 1.000 0.000
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.9393 0.4226 0.356 0.644
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.0000 0.8349 0.000 1.000
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 2 0.9661 0.3664 0.392 0.608
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 2 0.9661 0.3664 0.392 0.608
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.0000 0.8349 0.000 1.000
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 2 0.0000 0.8349 0.000 1.000
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 2 0.0000 0.8349 0.000 1.000
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 1 0.7299 0.5835 0.796 0.204
#> CA356591-D24F-41A8-8C9A-1178C7781510 2 0.9491 0.4044 0.368 0.632
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 1 0.0000 0.7642 1.000 0.000
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.9635 0.4658 0.612 0.388
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 3 0.4504 0.6193 0.000 0.196 0.804
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.6126 0.4086 0.000 0.400 0.600
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 3 0.6126 0.1195 0.000 0.400 0.600
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.0000 0.8538 0.000 1.000 0.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 3 0.0000 0.8554 0.000 0.000 1.000
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 1 0.4555 0.7339 0.800 0.200 0.000
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 3 0.0000 0.8554 0.000 0.000 1.000
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 2 0.5591 0.6012 0.000 0.696 0.304
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.0000 0.8538 0.000 1.000 0.000
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.0000 0.8538 0.000 1.000 0.000
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 1 0.6204 0.3255 0.576 0.424 0.000
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.0000 0.8554 0.000 0.000 1.000
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.5785 0.4828 0.668 0.000 0.332
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.0000 0.8538 0.000 1.000 0.000
#> ECB2DF14-CF68-44D4-8719-973AE448B992 1 0.0000 0.9226 1.000 0.000 0.000
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 2 0.4796 0.6956 0.000 0.780 0.220
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 3 0.6126 0.3174 0.400 0.000 0.600
#> 3282F146-2782-4877-9EFE-6020AC277A8C 2 0.6126 0.4684 0.000 0.600 0.400
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 2 0.6126 0.4684 0.000 0.600 0.400
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 2 0.5810 0.4085 0.336 0.664 0.000
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.0000 0.8538 0.000 1.000 0.000
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 1 0.0592 0.9151 0.988 0.012 0.000
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.0000 0.8538 0.000 1.000 0.000
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 1 0.1860 0.8887 0.948 0.000 0.052
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 3 0.0000 0.8554 0.000 0.000 1.000
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 2 0.0000 0.8538 0.000 1.000 0.000
#> C945DDA9-0194-46F4-89E2-13883284D5A4 3 0.0000 0.8554 0.000 0.000 1.000
#> 79B11925-9772-474F-A729-D00315959710 1 0.0000 0.9226 1.000 0.000 0.000
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 2 0.0000 0.8538 0.000 1.000 0.000
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 1 0.1860 0.8887 0.948 0.000 0.052
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 3 0.0000 0.8554 0.000 0.000 1.000
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.0000 0.9226 1.000 0.000 0.000
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.0000 0.8538 0.000 1.000 0.000
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 1 0.4555 0.7247 0.800 0.000 0.200
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.0000 0.8554 0.000 0.000 1.000
#> 26796E5F-C0C2-466C-9012-882F6D29C149 3 0.0237 0.8524 0.000 0.004 0.996
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 0.0000 0.9226 1.000 0.000 0.000
#> 1492D21A-6458-4B49-B530-7A327FCDD031 1 0.0000 0.9226 1.000 0.000 0.000
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 2 0.4702 0.7033 0.000 0.788 0.212
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 2 0.6126 0.4684 0.000 0.600 0.400
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.0000 0.9226 1.000 0.000 0.000
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 1 0.0000 0.9226 1.000 0.000 0.000
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.0000 0.8538 0.000 1.000 0.000
#> E846120D-D9E6-46F8-9647-2272AB064072 1 0.3267 0.8300 0.884 0.000 0.116
#> 36880C8C-91A9-49A9-A2D5-957161737F31 2 0.0000 0.8538 0.000 1.000 0.000
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.0000 0.8538 0.000 1.000 0.000
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 2 0.0000 0.8538 0.000 1.000 0.000
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 1 0.0000 0.9226 1.000 0.000 0.000
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 1 0.6062 0.3870 0.616 0.000 0.384
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 2 0.0747 0.8421 0.016 0.984 0.000
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 3 0.0000 0.8554 0.000 0.000 1.000
#> 116F3F29-AB89-4F00-9003-559041E285EB 3 0.0000 0.8554 0.000 0.000 1.000
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.0000 0.8538 0.000 1.000 0.000
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 3 0.0000 0.8554 0.000 0.000 1.000
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 2 0.2448 0.8094 0.000 0.924 0.076
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 2 0.6126 0.4684 0.000 0.600 0.400
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 1 0.0000 0.9226 1.000 0.000 0.000
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 2 0.0000 0.8538 0.000 1.000 0.000
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 3 0.6126 0.4086 0.000 0.400 0.600
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.0000 0.9226 1.000 0.000 0.000
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 3 0.0000 0.8554 0.000 0.000 1.000
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.0000 0.8538 0.000 1.000 0.000
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 3 0.0000 0.8554 0.000 0.000 1.000
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 1 0.1860 0.8887 0.948 0.000 0.052
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 2 0.4504 0.7179 0.000 0.804 0.196
#> CD576099-5450-4232-9B59-08341BED8FFA 2 0.4750 0.6994 0.000 0.784 0.216
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 2 0.4555 0.7143 0.000 0.800 0.200
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 1 0.0000 0.9226 1.000 0.000 0.000
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 1 0.0000 0.9226 1.000 0.000 0.000
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 2 0.0000 0.8538 0.000 1.000 0.000
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 2 0.6192 0.4281 0.000 0.580 0.420
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 3 0.0000 0.8554 0.000 0.000 1.000
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 1 0.0000 0.9226 1.000 0.000 0.000
#> 57E380FC-B6AB-466F-9936-D52192888008 1 0.1411 0.8967 0.964 0.036 0.000
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 3 0.6126 0.1195 0.000 0.400 0.600
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 1 0.0000 0.9226 1.000 0.000 0.000
#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 2 0.4291 0.7314 0.000 0.820 0.180
#> 1D4F0B66-720D-484D-B8D5-2B290ED208A8 3 0.0000 0.8554 0.000 0.000 1.000
#> C886CA33-5080-4E3E-88A2-F9A3CF03A857 3 0.5785 0.4680 0.332 0.000 0.668
#> 9AC963E4-F82D-460E-9CAD-C651B879780A 2 0.0000 0.8538 0.000 1.000 0.000
#> 1B6CF403-D0AE-4FFE-A884-660A58F32660 3 0.0000 0.8554 0.000 0.000 1.000
#> B33316E1-11FD-4C10-956A-C9C6F78508C5 1 0.0000 0.9226 1.000 0.000 0.000
#> BB02EF6A-C57D-4A79-99C1-ED43A72FFAF7 2 0.0000 0.8538 0.000 1.000 0.000
#> 4DBA59AD-9393-4BE6-88CB-852C62C4A334 3 0.0000 0.8554 0.000 0.000 1.000
#> 7887EDC4-A0D7-4E57-B3A1-330A5683457D 1 0.0237 0.9203 0.996 0.000 0.004
#> 2CD3AC14-46FB-4260-AE5C-4305C68D49BC 2 0.1163 0.8391 0.000 0.972 0.028
#> BAB8FA79-208A-488D-B955-806263E5D6BB 2 0.6126 0.4684 0.000 0.600 0.400
#> 98C990E7-7E3B-4200-A88D-E641931302EA 1 0.0000 0.9226 1.000 0.000 0.000
#> 894EE382-5ACA-4DEB-9267-99ADBEF6DA19 2 0.5760 0.5702 0.000 0.672 0.328
#> 98795F95-D26D-438A-AF46-B3BC3553F020 3 0.0000 0.8554 0.000 0.000 1.000
#> 9AD4C328-1554-4C92-931C-30CE8F305FDE 1 0.0000 0.9226 1.000 0.000 0.000
#> 4D1518D9-D968-4E7F-A702-5157A1A2E83E 1 0.0000 0.9226 1.000 0.000 0.000
#> A6E8AF8C-5D7B-4197-990B-786A869ACB96 1 0.0000 0.9226 1.000 0.000 0.000
#> DF8B4E19-8C78-4A68-8FAE-DFF01076BC97 3 0.6126 0.4086 0.000 0.400 0.600
#> 8D2C608F-3280-4CA2-B996-9AE3DBDBBD28 3 0.4555 0.6875 0.000 0.200 0.800
#> E7BCBD8D-1219-4A99-948A-47A258A5CD8B 2 0.6126 0.4684 0.000 0.600 0.400
#> 2C9633A5-8ACB-4D16-8120-F098BA14BB04 2 0.0000 0.8538 0.000 1.000 0.000
#> 985D9304-E4DA-4038-B235-067CBFEAC902 2 0.0000 0.8538 0.000 1.000 0.000
#> D34CE243-6F4F-4158-9FC4-77E1640E8A91 2 0.0000 0.8538 0.000 1.000 0.000
#> 65131575-48D3-42C2-B411-3DB871EF5EE1 2 0.6126 0.4684 0.000 0.600 0.400
#> 1AE13DFA-670C-43EE-9898-8FA831AEDDB3 3 0.0000 0.8554 0.000 0.000 1.000
#> 3ACDCD29-1B8D-455D-9EE9-D6C903B16D09 1 0.0237 0.9203 0.996 0.000 0.004
#> C6FBC35B-0113-4F00-BE1A-831D2C551055 1 0.0000 0.9226 1.000 0.000 0.000
#> A8F3285D-A85E-4E73-9D20-9D14AA51916B 3 0.0000 0.8554 0.000 0.000 1.000
#> 51601A73-2D75-4056-AEBB-8FF8DB813450 3 0.0000 0.8554 0.000 0.000 1.000
#> 75021778-A96B-4F57-8C26-68E8F33D7EB7 2 0.6126 0.4684 0.000 0.600 0.400
#> 71FFB439-22A1-4EBB-AEA6-A6BCA8CA6648 3 0.0000 0.8554 0.000 0.000 1.000
#> BEDB0135-0A26-44EF-9028-C4907403B110 3 0.0000 0.8554 0.000 0.000 1.000
#> 3B8BA56B-0E7B-4754-8729-8D613D0484E1 1 0.0000 0.9226 1.000 0.000 0.000
#> 100BF963-6103-45E6-A760-E44649580CF5 2 0.6126 0.4684 0.000 0.600 0.400
#> C26F21EA-5911-483F-BF64-03904BF93A20 2 0.0000 0.8538 0.000 1.000 0.000
#> 9E50162D-8149-41D2-86C1-1C892EB98DFA 2 0.6126 0.4684 0.000 0.600 0.400
#> 09521B29-B002-4AAD-93F1-6E600DD31515 2 0.0000 0.8538 0.000 1.000 0.000
#> 45FD44A6-7976-4453-BD3F-99D21DA3ECC2 1 0.3551 0.8127 0.868 0.000 0.132
#> 9EE0976F-1422-4F65-8837-93A192984CDF 3 0.0000 0.8554 0.000 0.000 1.000
#> 2FBAA1AA-39F7-4C58-A7DA-76B1F4B26B2E 2 0.0000 0.8538 0.000 1.000 0.000
#> B7A695A4-0B74-41E9-8662-4010C8CA38F0 1 0.6126 0.3501 0.600 0.000 0.400
#> E9013476-D037-41EA-921E-E9E62E93B75C 1 0.0000 0.9226 1.000 0.000 0.000
#> 13FD88E9-3B06-4CB6-949F-395DDDE4B75B 2 0.0000 0.8538 0.000 1.000 0.000
#> 9103E60E-D1FC-4F0F-B2CD-751921E14EBA 3 0.0000 0.8554 0.000 0.000 1.000
#> 4AEFB9F1-A55D-472E-A963-5BB3364D9D8C 2 0.0000 0.8538 0.000 1.000 0.000
#> 05B80211-2230-436E-BA34-FD48337A5DE0 2 0.0000 0.8538 0.000 1.000 0.000
#> 6B206166-85BC-4A1A-BDD2-B249652FC09E 1 0.0000 0.9226 1.000 0.000 0.000
#> 3EA60F08-5232-4A97-A656-2A0A2F5CED07 3 0.0592 0.8490 0.000 0.012 0.988
#> 9C55C086-682B-4D21-9C77-085CFE45A07E 1 0.6126 0.3501 0.600 0.000 0.400
#> B0CE5521-96E9-4087-89EE-309D785C0F96 2 0.6126 0.1726 0.000 0.600 0.400
#> 6BF76FE6-F1DA-48F2-B55D-CB106905EA8F 2 0.6252 0.0245 0.000 0.556 0.444
#> D2ECDADA-9D0D-4044-8C61-353CCE45C0E6 2 0.0000 0.8538 0.000 1.000 0.000
#> 9565D04D-EC61-4EF8-8519-0D84CFB0C794 2 0.0000 0.8538 0.000 1.000 0.000
#> EBAFE057-B387-4D2B-8D91-25C83221816D 2 0.0000 0.8538 0.000 1.000 0.000
#> 2CDB897D-ABAF-4EBB-837C-05CC7691D20E 1 0.0747 0.9128 0.984 0.000 0.016
#> FD2F4E8A-F89C-4016-B275-13FC6B4121E9 2 0.0000 0.8538 0.000 1.000 0.000
#> 1E27DDFF-D487-4CBF-80BC-506CC7C7C74D 2 0.6140 0.4608 0.000 0.596 0.404
#> 1DD990EF-74A8-4503-B801-C01D6C171E2E 2 0.0000 0.8538 0.000 1.000 0.000
#> 4D2DF3FF-343A-4D29-9230-015131B45BD2 2 0.0000 0.8538 0.000 1.000 0.000
#> B9949248-D762-4591-B8D6-C296C2B28D8C 3 0.6126 0.4086 0.000 0.400 0.600
#> 2D839843-4C8D-400D-8EFF-2BF9B94A27AA 3 0.0000 0.8554 0.000 0.000 1.000
#> 78C429CC-D631-43EA-9049-DAC326C98BDD 2 0.0000 0.8538 0.000 1.000 0.000
#> 71241674-DF93-4CA0-A81D-AF85B6479F62 3 0.6126 0.1195 0.000 0.400 0.600
#> 76277FC9-E447-49A4-9407-81917C90ECBD 2 0.7112 0.2605 0.424 0.552 0.024
#> 79DE0216-2CBB-4057-AC90-0366A494F106 1 0.0000 0.9226 1.000 0.000 0.000
#> 3B842084-AE30-4666-B80A-8FA36EF628F3 1 0.0000 0.9226 1.000 0.000 0.000
#> 57200367-96F1-48B9-AB7F-DC11EFE866C4 3 0.0000 0.8554 0.000 0.000 1.000
#> 219B7654-6065-41D3-964B-C829364CD87B 3 0.3941 0.7333 0.000 0.156 0.844
#> 26923D9B-CE8E-400E-93CD-E0EE1401CB9D 2 0.4605 0.7108 0.000 0.796 0.204
#> 21B783EB-B0D0-4B28-9468-D0B130D13E26 3 0.0000 0.8554 0.000 0.000 1.000
#> 67D465A4-8068-4325-ABC5-5917B7D726BB 2 0.0000 0.8538 0.000 1.000 0.000
#> 30A8ABA0-ECB4-4B44-9630-5FFF862A157F 2 0.0000 0.8538 0.000 1.000 0.000
#> 71040F61-834D-4A75-960D-5DABBCADD3A0 1 0.0000 0.9226 1.000 0.000 0.000
#> A4EC5E62-AF75-435A-903F-D35B171CEA2C 2 0.0000 0.8538 0.000 1.000 0.000
#> 2F6A0808-8F01-4721-938D-F1FC7C5D8357 3 0.0000 0.8554 0.000 0.000 1.000
#> F1A142BF-9737-442D-B9A1-AA03958916D8 3 0.8650 0.5230 0.200 0.200 0.600
#> 2DC1CF96-6822-412A-B002-3DC1239D17A7 3 0.0000 0.8554 0.000 0.000 1.000
#> 9C57AC2A-83C8-41EB-8DC3-9A897D8F8110 2 0.0000 0.8538 0.000 1.000 0.000
#> D22198BE-2B03-4A06-9EB6-696B67E8CEFB 3 0.0000 0.8554 0.000 0.000 1.000
#> 68BACBAD-DC56-4ADF-BB44-86750A866657 1 0.0000 0.9226 1.000 0.000 0.000
#> 7DFBA494-6746-4FF7-9948-FC9BA297F499 2 0.0000 0.8538 0.000 1.000 0.000
#> 00B39945-A227-46EB-B737-27D12370FE6A 2 0.6126 0.4684 0.000 0.600 0.400
#> 6FA15950-94D4-4D46-A0E5-45D899089443 2 0.0000 0.8538 0.000 1.000 0.000
#> DE451B99-D33B-4A35-BB0E-AAED631B56C3 2 0.6126 0.1726 0.000 0.600 0.400
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#> BA9ABEB1-D3F0-4F09-A647-25211C47C3D0 2 0.0000 0.8538 0.000 1.000 0.000
#> 9E41E79A-4028-4F60-8250-411F191B665C 1 0.0000 0.9226 1.000 0.000 0.000
#> 5F1D3EFD-ECDA-4C92-8D81-491484F09C95 3 0.4504 0.6879 0.196 0.000 0.804
#> 0DBA04CB-417D-4E2B-BE83-3563F45291C4 1 0.0000 0.9226 1.000 0.000 0.000
#> B9B882A5-194B-4F5C-B702-0CF71CA6D9D2 2 0.0000 0.8538 0.000 1.000 0.000
#> 67FE7638-B8F5-4631-B178-AC23B0382983 1 0.0000 0.9226 1.000 0.000 0.000
#> FE03FC2C-9A4E-4F89-8681-E33DFECCC692 1 0.6126 0.3795 0.600 0.400 0.000
#> 2B22B4B7-8A39-435C-BE3B-86FA84C8F941 2 0.6154 0.1475 0.000 0.592 0.408
#> 00844B35-C108-4AEC-A687-4A91A2F33E6D 1 0.0000 0.9226 1.000 0.000 0.000
#> C221EE7A-6343-4B6D-B322-0A2C0F0B29AF 1 0.0000 0.9226 1.000 0.000 0.000
#> B28A6D56-7654-4829-BF1F-657C3C2C10D8 1 0.0000 0.9226 1.000 0.000 0.000
#> F4C7BCEC-3CD4-4D9A-89EA-0ED58EA0DCFE 1 0.0000 0.9226 1.000 0.000 0.000
#> F06FBFAB-D143-47AE-BEE7-51B48164764F 1 0.3192 0.8342 0.888 0.000 0.112
#> 525F522B-E865-4479-AE65-510903ABF46F 3 0.6140 0.4007 0.000 0.404 0.596
#> F0CB60E3-C412-46A2-918F-8C5C099AB224 3 0.6299 0.0142 0.476 0.000 0.524
#> 587F307F-6E1B-487E-8E47-A99AB43DC5B4 3 0.0000 0.8554 0.000 0.000 1.000
#> 883D9145-8414-4571-A3E1-516F03452C46 1 0.0000 0.9226 1.000 0.000 0.000
#> 4A917271-7EA0-4F43-B474-7F5EA756EB05 1 0.0000 0.9226 1.000 0.000 0.000
#> BB33015D-218C-4A1E-8839-95837D6E9B88 1 0.0000 0.9226 1.000 0.000 0.000
#> 021CC81F-710D-4EEA-B1D8-012A81715ACC 1 0.0000 0.9226 1.000 0.000 0.000
#> B00C4925-47E3-4442-ABEB-82D714A26587 3 0.6306 0.6313 0.200 0.052 0.748
#> F79B27D3-0426-47BB-9756-7E0759246E5E 2 0.0237 0.8510 0.000 0.996 0.004
#> 1F179559-D93E-491C-B499-64F86C31DAE0 3 0.0000 0.8554 0.000 0.000 1.000
#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 3 0.0000 0.8554 0.000 0.000 1.000
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 1 0.3619 0.8082 0.864 0.000 0.136
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 1 0.3816 0.7941 0.852 0.000 0.148
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 2 0.0000 0.8538 0.000 1.000 0.000
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 1 0.0000 0.9226 1.000 0.000 0.000
#> ED9794C0-AC60-4B54-8214-D26714871BBF 1 0.0000 0.9226 1.000 0.000 0.000
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 2 0.6111 0.4745 0.000 0.604 0.396
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 2 0.0000 0.8538 0.000 1.000 0.000
#> 18D816AF-394A-482F-B22E-896A43B1E481 2 0.0000 0.8538 0.000 1.000 0.000
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 1 0.6095 0.3690 0.608 0.000 0.392
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 3 0.0000 0.8554 0.000 0.000 1.000
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 2 0.0000 0.8538 0.000 1.000 0.000
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 3 0.0000 0.8554 0.000 0.000 1.000
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 2 0.6126 0.4684 0.000 0.600 0.400
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 2 0.0000 0.8538 0.000 1.000 0.000
#> 7E809698-2473-4EFE-B896-1637983EC596 2 0.0000 0.8538 0.000 1.000 0.000
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 3 0.0000 0.8554 0.000 0.000 1.000
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 3 0.0000 0.8554 0.000 0.000 1.000
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 2 0.0000 0.8538 0.000 1.000 0.000
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.0000 0.9226 1.000 0.000 0.000
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.0000 0.9226 1.000 0.000 0.000
#> 73F28A79-7D35-4FE9-849D-FFE681483928 1 0.4452 0.7248 0.808 0.000 0.192
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 1 0.0000 0.9226 1.000 0.000 0.000
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 3 0.0000 0.8554 0.000 0.000 1.000
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 1 0.1860 0.8887 0.948 0.000 0.052
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.0000 0.8538 0.000 1.000 0.000
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.0000 0.9226 1.000 0.000 0.000
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 1 0.0000 0.9226 1.000 0.000 0.000
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 1 0.0000 0.9226 1.000 0.000 0.000
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 1 0.6168 0.2789 0.588 0.000 0.412
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.0000 0.8554 0.000 0.000 1.000
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.0000 0.9226 1.000 0.000 0.000
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.0000 0.8538 0.000 1.000 0.000
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 2 0.6140 0.4608 0.000 0.596 0.404
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.0000 0.8538 0.000 1.000 0.000
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 2 0.0000 0.8538 0.000 1.000 0.000
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 2 0.4555 0.7146 0.000 0.800 0.200
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 2 0.6910 0.4533 0.020 0.584 0.396
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 2 0.6126 0.4684 0.000 0.600 0.400
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.0000 0.9226 1.000 0.000 0.000
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.4504 0.6879 0.196 0.000 0.804
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.1860 0.8887 0.948 0.000 0.052
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.0000 0.9226 1.000 0.000 0.000
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.0000 0.9226 1.000 0.000 0.000
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.0000 0.8538 0.000 1.000 0.000
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 3 0.5058 0.6214 0.244 0.000 0.756
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.0000 0.9226 1.000 0.000 0.000
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 1 0.4452 0.7456 0.808 0.192 0.000
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.0000 0.9226 1.000 0.000 0.000
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 2 0.6140 0.4608 0.000 0.596 0.404
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 2 0.4291 0.7318 0.000 0.820 0.180
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 2 0.4209 0.7545 0.120 0.860 0.020
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 3 0.6126 0.1195 0.000 0.400 0.600
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 3 0.0000 0.8554 0.000 0.000 1.000
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 3 0.0000 0.8554 0.000 0.000 1.000
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.0000 0.9226 1.000 0.000 0.000
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.1860 0.8887 0.948 0.000 0.052
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 3 0.0000 0.8554 0.000 0.000 1.000
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.3686 0.7166 0.000 0.860 0.140
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.0000 0.8538 0.000 1.000 0.000
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 3 0.0000 0.8554 0.000 0.000 1.000
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.0592 0.8490 0.000 0.012 0.988
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.0000 0.8538 0.000 1.000 0.000
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 2 0.4555 0.7143 0.000 0.800 0.200
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 2 0.6126 0.4684 0.000 0.600 0.400
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.7492 0.4673 0.052 0.340 0.608
#> CA356591-D24F-41A8-8C9A-1178C7781510 3 0.1643 0.8169 0.000 0.044 0.956
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.0000 0.8554 0.000 0.000 1.000
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.0000 0.9226 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 4 0.0817 0.8217 0.000 0.000 0.024 0.976
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.4477 0.5879 0.000 0.312 0.688 0.000
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 4 0.0000 0.8362 0.000 0.000 0.000 1.000
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.0000 0.9240 0.000 1.000 0.000 0.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 4 0.0188 0.8361 0.000 0.000 0.004 0.996
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 1 0.4008 0.6646 0.756 0.244 0.000 0.000
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 4 0.2760 0.7025 0.000 0.000 0.128 0.872
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 4 0.0000 0.8362 0.000 0.000 0.000 1.000
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.0000 0.9240 0.000 1.000 0.000 0.000
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.0000 0.9240 0.000 1.000 0.000 0.000
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.0000 0.9240 0.000 1.000 0.000 0.000
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.0000 0.7828 0.000 0.000 1.000 0.000
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.4585 0.4960 0.668 0.000 0.332 0.000
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.0000 0.9240 0.000 1.000 0.000 0.000
#> ECB2DF14-CF68-44D4-8719-973AE448B992 1 0.3528 0.7631 0.808 0.000 0.192 0.000
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 4 0.1302 0.8114 0.000 0.044 0.000 0.956
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 3 0.0707 0.7819 0.020 0.000 0.980 0.000
#> 3282F146-2782-4877-9EFE-6020AC277A8C 4 0.0000 0.8362 0.000 0.000 0.000 1.000
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 4 0.3610 0.8041 0.000 0.000 0.200 0.800
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 2 0.0000 0.9240 0.000 1.000 0.000 0.000
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.0000 0.9240 0.000 1.000 0.000 0.000
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 1 0.7300 0.3396 0.556 0.004 0.196 0.244
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.0000 0.9240 0.000 1.000 0.000 0.000
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 1 0.3444 0.7624 0.816 0.000 0.184 0.000
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 4 0.4817 0.6282 0.000 0.000 0.388 0.612
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 4 0.4922 0.7735 0.000 0.036 0.228 0.736
#> C945DDA9-0194-46F4-89E2-13883284D5A4 4 0.4564 0.7072 0.000 0.000 0.328 0.672
#> 79B11925-9772-474F-A729-D00315959710 1 0.0000 0.9170 1.000 0.000 0.000 0.000
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 2 0.4304 0.6296 0.000 0.716 0.000 0.284
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 1 0.3356 0.7721 0.824 0.000 0.176 0.000
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 4 0.4250 0.7575 0.000 0.000 0.276 0.724
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.0000 0.9170 1.000 0.000 0.000 0.000
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.0000 0.9240 0.000 1.000 0.000 0.000
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 1 0.3726 0.7242 0.788 0.000 0.212 0.000
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.0000 0.7828 0.000 0.000 1.000 0.000
#> 26796E5F-C0C2-466C-9012-882F6D29C149 4 0.0000 0.8362 0.000 0.000 0.000 1.000
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 0.0000 0.9170 1.000 0.000 0.000 0.000
#> 1492D21A-6458-4B49-B530-7A327FCDD031 1 0.0000 0.9170 1.000 0.000 0.000 0.000
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 4 0.3610 0.8041 0.000 0.000 0.200 0.800
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 4 0.0000 0.8362 0.000 0.000 0.000 1.000
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.0000 0.9170 1.000 0.000 0.000 0.000
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 1 0.3569 0.7585 0.804 0.000 0.196 0.000
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.0000 0.9240 0.000 1.000 0.000 0.000
#> E846120D-D9E6-46F8-9647-2272AB064072 1 0.3444 0.7624 0.816 0.000 0.184 0.000
#> 36880C8C-91A9-49A9-A2D5-957161737F31 2 0.0000 0.9240 0.000 1.000 0.000 0.000
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.0000 0.9240 0.000 1.000 0.000 0.000
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 2 0.0000 0.9240 0.000 1.000 0.000 0.000
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 1 0.0000 0.9170 1.000 0.000 0.000 0.000
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 4 0.5609 0.7590 0.088 0.000 0.200 0.712
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 2 0.0000 0.9240 0.000 1.000 0.000 0.000
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 3 0.3569 0.7890 0.000 0.000 0.804 0.196
#> 116F3F29-AB89-4F00-9003-559041E285EB 3 0.4925 0.5375 0.000 0.000 0.572 0.428
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.0000 0.9240 0.000 1.000 0.000 0.000
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 3 0.0000 0.7828 0.000 0.000 1.000 0.000
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 2 0.4543 0.5539 0.000 0.676 0.000 0.324
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 4 0.3610 0.8041 0.000 0.000 0.200 0.800
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 1 0.0000 0.9170 1.000 0.000 0.000 0.000
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 2 0.2149 0.8581 0.000 0.912 0.000 0.088
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 3 0.4898 0.3899 0.000 0.416 0.584 0.000
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.0000 0.9170 1.000 0.000 0.000 0.000
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 3 0.0000 0.7828 0.000 0.000 1.000 0.000
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.0000 0.9240 0.000 1.000 0.000 0.000
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 3 0.0000 0.7828 0.000 0.000 1.000 0.000
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 1 0.3356 0.7721 0.824 0.000 0.176 0.000
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 2 0.4866 0.3739 0.000 0.596 0.000 0.404
#> CD576099-5450-4232-9B59-08341BED8FFA 4 0.3486 0.8078 0.000 0.000 0.188 0.812
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 4 0.0000 0.8362 0.000 0.000 0.000 1.000
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 1 0.0000 0.9170 1.000 0.000 0.000 0.000
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 1 0.0000 0.9170 1.000 0.000 0.000 0.000
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 2 0.0000 0.9240 0.000 1.000 0.000 0.000
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 4 0.0188 0.8361 0.000 0.000 0.004 0.996
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 3 0.3975 0.7670 0.000 0.000 0.760 0.240
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 1 0.0000 0.9170 1.000 0.000 0.000 0.000
#> 57E380FC-B6AB-466F-9936-D52192888008 1 0.0336 0.9129 0.992 0.008 0.000 0.000
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 4 0.0188 0.8361 0.000 0.000 0.004 0.996
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#> B3D17D9D-B753-40E0-A289-72F94F478C4C 3 0.0000 0.7828 0.000 0.000 1.000 0.000
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.0000 0.9170 1.000 0.000 0.000 0.000
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 1 0.4214 0.7169 0.780 0.204 0.016 0.000
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.0000 0.9170 1.000 0.000 0.000 0.000
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 4 0.3610 0.8041 0.000 0.000 0.200 0.800
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 4 0.0000 0.8362 0.000 0.000 0.000 1.000
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 4 0.3893 0.8024 0.000 0.008 0.196 0.796
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 4 0.0188 0.8361 0.000 0.000 0.004 0.996
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 3 0.4040 0.7612 0.000 0.000 0.752 0.248
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 3 0.4998 0.4016 0.000 0.000 0.512 0.488
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.0000 0.9170 1.000 0.000 0.000 0.000
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.3356 0.7721 0.824 0.000 0.176 0.000
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 4 0.4008 0.7809 0.000 0.000 0.244 0.756
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.0000 0.9240 0.000 1.000 0.000 0.000
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.0000 0.9240 0.000 1.000 0.000 0.000
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 4 0.2704 0.8082 0.000 0.000 0.124 0.876
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.3610 0.7883 0.000 0.000 0.800 0.200
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.0000 0.9240 0.000 1.000 0.000 0.000
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 4 0.0000 0.8362 0.000 0.000 0.000 1.000
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 4 0.0000 0.8362 0.000 0.000 0.000 1.000
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.3610 0.7212 0.000 0.200 0.800 0.000
#> CA356591-D24F-41A8-8C9A-1178C7781510 4 0.0707 0.8245 0.000 0.000 0.020 0.980
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.0000 0.7828 0.000 0.000 1.000 0.000
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.0000 0.9170 1.000 0.000 0.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 4 0.6463 0.52613 0.000 0.000 0.192 0.464 0.344
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.3766 0.62303 0.000 0.268 0.728 0.000 0.004
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 4 0.6386 0.53550 0.000 0.000 0.180 0.480 0.340
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.0000 0.85654 0.000 1.000 0.000 0.000 0.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 4 0.6612 0.49394 0.000 0.000 0.240 0.452 0.308
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 5 0.6673 -0.19109 0.384 0.232 0.000 0.000 0.384
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 5 0.6807 -0.37833 0.000 0.000 0.336 0.300 0.364
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 4 0.6163 0.53231 0.000 0.000 0.144 0.504 0.352
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.0162 0.85578 0.000 0.996 0.000 0.000 0.004
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.0000 0.85654 0.000 1.000 0.000 0.000 0.000
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.0000 0.85654 0.000 1.000 0.000 0.000 0.000
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.3171 0.73677 0.000 0.000 0.816 0.176 0.008
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.5246 0.29575 0.596 0.000 0.344 0.000 0.060
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.0162 0.85578 0.000 0.996 0.000 0.000 0.004
#> ECB2DF14-CF68-44D4-8719-973AE448B992 4 0.6081 -0.19353 0.128 0.000 0.000 0.496 0.376
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 4 0.7552 0.48360 0.000 0.064 0.180 0.420 0.336
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 3 0.5445 0.63375 0.012 0.000 0.688 0.172 0.128
#> 3282F146-2782-4877-9EFE-6020AC277A8C 4 0.6296 0.53267 0.000 0.000 0.160 0.480 0.360
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 4 0.1704 0.51937 0.000 0.000 0.004 0.928 0.068
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 2 0.3662 0.58262 0.000 0.744 0.000 0.004 0.252
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.0290 0.85468 0.000 0.992 0.000 0.000 0.008
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 5 0.5782 0.22098 0.076 0.000 0.004 0.432 0.488
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.0000 0.85654 0.000 1.000 0.000 0.000 0.000
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 1 0.4440 0.47546 0.528 0.000 0.004 0.000 0.468
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 4 0.1522 0.49531 0.000 0.000 0.044 0.944 0.012
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 4 0.3242 0.48128 0.000 0.000 0.012 0.816 0.172
#> C945DDA9-0194-46F4-89E2-13883284D5A4 4 0.3958 0.44167 0.000 0.000 0.184 0.776 0.040
#> 79B11925-9772-474F-A729-D00315959710 1 0.0000 0.73097 1.000 0.000 0.000 0.000 0.000
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 5 0.6779 -0.11953 0.000 0.308 0.000 0.300 0.392
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 1 0.4440 0.47546 0.528 0.000 0.004 0.000 0.468
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 4 0.1041 0.49235 0.000 0.000 0.032 0.964 0.004
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.1124 0.71562 0.960 0.000 0.000 0.036 0.004
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.4612 0.66360 0.000 0.736 0.000 0.084 0.180
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 1 0.4650 0.46554 0.520 0.000 0.012 0.000 0.468
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.3171 0.73677 0.000 0.000 0.816 0.176 0.008
#> 26796E5F-C0C2-466C-9012-882F6D29C149 4 0.5458 0.48534 0.000 0.000 0.060 0.476 0.464
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 0.4287 0.48581 0.540 0.000 0.000 0.000 0.460
#> 1492D21A-6458-4B49-B530-7A327FCDD031 1 0.5556 0.45632 0.524 0.000 0.000 0.072 0.404
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 4 0.2074 0.52618 0.000 0.000 0.000 0.896 0.104
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 4 0.6253 0.53632 0.000 0.000 0.156 0.492 0.352
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.0955 0.71934 0.968 0.000 0.000 0.028 0.004
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 5 0.5701 0.20206 0.052 0.000 0.012 0.464 0.472
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.0290 0.85468 0.000 0.992 0.000 0.000 0.008
#> E846120D-D9E6-46F8-9647-2272AB064072 1 0.5083 0.46818 0.532 0.000 0.036 0.000 0.432
#> 36880C8C-91A9-49A9-A2D5-957161737F31 2 0.0000 0.85654 0.000 1.000 0.000 0.000 0.000
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.0000 0.85654 0.000 1.000 0.000 0.000 0.000
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 2 0.1671 0.79539 0.076 0.924 0.000 0.000 0.000
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 1 0.4294 0.47922 0.532 0.000 0.000 0.000 0.468
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 4 0.3399 0.33619 0.172 0.000 0.004 0.812 0.012
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 2 0.0000 0.85654 0.000 1.000 0.000 0.000 0.000
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 3 0.1831 0.73063 0.000 0.000 0.920 0.004 0.076
#> 116F3F29-AB89-4F00-9003-559041E285EB 3 0.4624 0.40151 0.000 0.000 0.636 0.024 0.340
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.0000 0.85654 0.000 1.000 0.000 0.000 0.000
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 3 0.3671 0.71158 0.000 0.000 0.756 0.236 0.008
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 2 0.7080 0.07044 0.000 0.424 0.044 0.136 0.396
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 4 0.0324 0.50052 0.000 0.000 0.004 0.992 0.004
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 1 0.0000 0.73097 1.000 0.000 0.000 0.000 0.000
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 2 0.5740 0.51826 0.000 0.620 0.000 0.164 0.216
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 2 0.6657 -0.08585 0.000 0.416 0.352 0.000 0.232
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.0000 0.73097 1.000 0.000 0.000 0.000 0.000
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 3 0.3209 0.73513 0.000 0.000 0.812 0.180 0.008
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.0000 0.85654 0.000 1.000 0.000 0.000 0.000
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 3 0.3551 0.71975 0.000 0.000 0.772 0.220 0.008
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 1 0.4440 0.47546 0.528 0.000 0.004 0.000 0.468
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 2 0.7835 -0.09707 0.000 0.396 0.180 0.092 0.332
#> CD576099-5450-4232-9B59-08341BED8FFA 4 0.4030 0.47541 0.000 0.000 0.000 0.648 0.352
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 5 0.4304 -0.47145 0.000 0.000 0.000 0.484 0.516
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 1 0.0290 0.72843 0.992 0.000 0.000 0.008 0.000
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 1 0.0290 0.73052 0.992 0.000 0.000 0.000 0.008
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 2 0.2966 0.73768 0.000 0.816 0.000 0.000 0.184
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 4 0.6386 0.53550 0.000 0.000 0.180 0.480 0.340
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 3 0.2719 0.68654 0.000 0.000 0.852 0.004 0.144
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 1 0.0324 0.72904 0.992 0.000 0.000 0.004 0.004
#> 57E380FC-B6AB-466F-9936-D52192888008 1 0.1653 0.70504 0.944 0.028 0.000 0.024 0.004
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 4 0.6386 0.53550 0.000 0.000 0.180 0.480 0.340
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 1 0.0162 0.73016 0.996 0.000 0.000 0.000 0.004
#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 5 0.6577 -0.09678 0.000 0.416 0.064 0.056 0.464
#> 1D4F0B66-720D-484D-B8D5-2B290ED208A8 3 0.3990 0.48959 0.000 0.000 0.688 0.004 0.308
#> C886CA33-5080-4E3E-88A2-F9A3CF03A857 3 0.3209 0.64876 0.180 0.000 0.812 0.000 0.008
#> 9AC963E4-F82D-460E-9CAD-C651B879780A 5 0.6408 -0.03755 0.000 0.388 0.000 0.172 0.440
#> 1B6CF403-D0AE-4FFE-A884-660A58F32660 3 0.3398 0.62109 0.000 0.000 0.780 0.004 0.216
#> B33316E1-11FD-4C10-956A-C9C6F78508C5 1 0.3636 0.61528 0.728 0.000 0.000 0.000 0.272
#> BB02EF6A-C57D-4A79-99C1-ED43A72FFAF7 2 0.2891 0.74303 0.000 0.824 0.000 0.000 0.176
#> 4DBA59AD-9393-4BE6-88CB-852C62C4A334 3 0.2674 0.68945 0.000 0.000 0.856 0.004 0.140
#> 7887EDC4-A0D7-4E57-B3A1-330A5683457D 4 0.2775 0.40080 0.100 0.000 0.004 0.876 0.020
#> 2CD3AC14-46FB-4260-AE5C-4305C68D49BC 4 0.4060 0.47282 0.000 0.000 0.000 0.640 0.360
#> BAB8FA79-208A-488D-B955-806263E5D6BB 4 0.6386 0.53550 0.000 0.000 0.180 0.480 0.340
#> 98C990E7-7E3B-4200-A88D-E641931302EA 1 0.0000 0.73097 1.000 0.000 0.000 0.000 0.000
#> 894EE382-5ACA-4DEB-9267-99ADBEF6DA19 5 0.4306 -0.47461 0.000 0.000 0.000 0.492 0.508
#> 98795F95-D26D-438A-AF46-B3BC3553F020 3 0.0290 0.75808 0.000 0.000 0.992 0.000 0.008
#> 9AD4C328-1554-4C92-931C-30CE8F305FDE 1 0.0000 0.73097 1.000 0.000 0.000 0.000 0.000
#> 4D1518D9-D968-4E7F-A702-5157A1A2E83E 1 0.0000 0.73097 1.000 0.000 0.000 0.000 0.000
#> A6E8AF8C-5D7B-4197-990B-786A869ACB96 1 0.2020 0.70303 0.900 0.000 0.000 0.000 0.100
#> DF8B4E19-8C78-4A68-8FAE-DFF01076BC97 3 0.4375 0.39356 0.000 0.420 0.576 0.000 0.004
#> 8D2C608F-3280-4CA2-B996-9AE3DBDBBD28 3 0.4333 0.69038 0.000 0.000 0.752 0.060 0.188
#> E7BCBD8D-1219-4A99-948A-47A258A5CD8B 4 0.6386 0.53550 0.000 0.000 0.180 0.480 0.340
#> 2C9633A5-8ACB-4D16-8120-F098BA14BB04 2 0.0162 0.85578 0.000 0.996 0.000 0.000 0.004
#> 985D9304-E4DA-4038-B235-067CBFEAC902 2 0.0000 0.85654 0.000 1.000 0.000 0.000 0.000
#> D34CE243-6F4F-4158-9FC4-77E1640E8A91 2 0.0000 0.85654 0.000 1.000 0.000 0.000 0.000
#> 65131575-48D3-42C2-B411-3DB871EF5EE1 4 0.3970 0.54470 0.000 0.000 0.104 0.800 0.096
#> 1AE13DFA-670C-43EE-9898-8FA831AEDDB3 3 0.4288 0.45677 0.000 0.000 0.664 0.012 0.324
#> 3ACDCD29-1B8D-455D-9EE9-D6C903B16D09 4 0.1808 0.45606 0.020 0.000 0.004 0.936 0.040
#> C6FBC35B-0113-4F00-BE1A-831D2C551055 5 0.5996 0.21817 0.076 0.000 0.012 0.448 0.464
#> A8F3285D-A85E-4E73-9D20-9D14AA51916B 3 0.2890 0.67404 0.000 0.000 0.836 0.004 0.160
#> 51601A73-2D75-4056-AEBB-8FF8DB813450 3 0.0290 0.75980 0.000 0.000 0.992 0.000 0.008
#> 75021778-A96B-4F57-8C26-68E8F33D7EB7 4 0.1557 0.51105 0.000 0.000 0.008 0.940 0.052
#> 71FFB439-22A1-4EBB-AEA6-A6BCA8CA6648 3 0.3013 0.74440 0.000 0.000 0.832 0.160 0.008
#> BEDB0135-0A26-44EF-9028-C4907403B110 5 0.6615 0.06778 0.000 0.000 0.324 0.232 0.444
#> 3B8BA56B-0E7B-4754-8729-8D613D0484E1 1 0.0000 0.73097 1.000 0.000 0.000 0.000 0.000
#> 100BF963-6103-45E6-A760-E44649580CF5 4 0.6248 0.53839 0.000 0.000 0.176 0.524 0.300
#> C26F21EA-5911-483F-BF64-03904BF93A20 2 0.4522 0.67272 0.000 0.744 0.000 0.080 0.176
#> 9E50162D-8149-41D2-86C1-1C892EB98DFA 4 0.6219 0.53921 0.000 0.000 0.176 0.532 0.292
#> 09521B29-B002-4AAD-93F1-6E600DD31515 2 0.0290 0.85468 0.000 0.992 0.000 0.000 0.008
#> 45FD44A6-7976-4453-BD3F-99D21DA3ECC2 1 0.4549 0.47479 0.528 0.000 0.008 0.000 0.464
#> 9EE0976F-1422-4F65-8837-93A192984CDF 3 0.0290 0.75980 0.000 0.000 0.992 0.000 0.008
#> 2FBAA1AA-39F7-4C58-A7DA-76B1F4B26B2E 2 0.0000 0.85654 0.000 1.000 0.000 0.000 0.000
#> B7A695A4-0B74-41E9-8662-4010C8CA38F0 4 0.0324 0.49844 0.000 0.000 0.004 0.992 0.004
#> E9013476-D037-41EA-921E-E9E62E93B75C 1 0.4287 0.48581 0.540 0.000 0.000 0.000 0.460
#> 13FD88E9-3B06-4CB6-949F-395DDDE4B75B 4 0.4714 0.40370 0.000 0.084 0.000 0.724 0.192
#> 9103E60E-D1FC-4F0F-B2CD-751921E14EBA 3 0.3171 0.73677 0.000 0.000 0.816 0.176 0.008
#> 4AEFB9F1-A55D-472E-A963-5BB3364D9D8C 2 0.4924 0.35905 0.000 0.552 0.000 0.028 0.420
#> 05B80211-2230-436E-BA34-FD48337A5DE0 2 0.0000 0.85654 0.000 1.000 0.000 0.000 0.000
#> 6B206166-85BC-4A1A-BDD2-B249652FC09E 1 0.2233 0.66384 0.892 0.000 0.000 0.104 0.004
#> 3EA60F08-5232-4A97-A656-2A0A2F5CED07 3 0.2074 0.75387 0.000 0.000 0.896 0.000 0.104
#> 9C55C086-682B-4D21-9C77-085CFE45A07E 4 0.4101 0.45253 0.000 0.000 0.048 0.768 0.184
#> B0CE5521-96E9-4087-89EE-309D785C0F96 2 0.5375 0.20929 0.000 0.568 0.368 0.000 0.064
#> 6BF76FE6-F1DA-48F2-B55D-CB106905EA8F 3 0.6465 0.18323 0.000 0.376 0.440 0.000 0.184
#> D2ECDADA-9D0D-4044-8C61-353CCE45C0E6 2 0.0404 0.85077 0.000 0.988 0.000 0.000 0.012
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#> 5E79792E-CE89-4ECF-BD4E-B12877E63949 4 0.4479 0.44204 0.000 0.036 0.000 0.700 0.264
#> E9DB46D8-5CE4-472C-8F21-9180F2D4C880 4 0.6386 0.53550 0.000 0.000 0.180 0.480 0.340
#> 7C712EF3-7368-4D97-BB9A-717CF8522C7F 3 0.1251 0.76465 0.000 0.000 0.956 0.036 0.008
#> 30312D82-4966-4EAA-A067-F91852FA8663 2 0.0000 0.85654 0.000 1.000 0.000 0.000 0.000
#> ECC62CBA-16AB-45F0-9C5A-72F302B4A188 2 0.2852 0.74521 0.000 0.828 0.000 0.000 0.172
#> 5AF4899F-D8E1-4CB6-B3DC-F0C60C808838 3 0.4473 0.40526 0.000 0.412 0.580 0.000 0.008
#> BBCEA0D1-DE66-4C0C-8D3C-D1398D04B472 2 0.0290 0.85458 0.000 0.992 0.000 0.000 0.008
#> 154764CD-AC69-4F48-A212-8B27C076C91A 3 0.3196 0.64322 0.000 0.000 0.804 0.004 0.192
#> 33266777-E07B-49D0-9E24-2EDE2577CF16 1 0.3561 0.62348 0.740 0.000 0.000 0.000 0.260
#> 7DAE9720-3922-4680-9F95-75C029B7FDA9 3 0.4525 0.50180 0.000 0.360 0.624 0.000 0.016
#> 1BC2ECED-0425-4382-BB94-F57ED2687F18 1 0.4287 0.48837 0.540 0.000 0.000 0.000 0.460
#> 0901D931-77BE-47B0-AE5F-C26C6A144CA0 1 0.4273 0.49590 0.552 0.000 0.000 0.000 0.448
#> 77AFFD5F-F715-4242-95C9-5F36E061B3E2 1 0.6121 0.14770 0.464 0.000 0.000 0.408 0.128
#> FAB4A6D6-E978-4172-9FE1-79FC50C0F849 4 0.6386 0.53550 0.000 0.000 0.180 0.480 0.340
#> 32C4DF54-39DD-4F62-B938-82ED2A0E0FFD 1 0.2124 0.67166 0.900 0.000 0.000 0.096 0.004
#> 9911D83E-6DDF-4048-9A34-22BFA1D68BBD 3 0.2798 0.75190 0.000 0.000 0.852 0.140 0.008
#> 4BAC0A03-BB88-4D19-86F9-FF093330C9B3 3 0.5024 0.45623 0.000 0.000 0.528 0.440 0.032
#> 18F63ADA-1828-43DD-AE1F-F36706C204CD 3 0.2074 0.75401 0.000 0.000 0.896 0.000 0.104
#> 66729295-C0AA-42C7-92C9-05194EF02276 3 0.3280 0.73541 0.000 0.000 0.812 0.176 0.012
#> 4CCA3104-B557-403D-AC06-A6D4936DDC04 3 0.0404 0.75726 0.000 0.000 0.988 0.000 0.012
#> 77D4165E-7CB1-4D69-AFE5-C8D914531651 2 0.6106 0.41427 0.000 0.568 0.000 0.204 0.228
#> BA12A05A-622A-424D-8108-3F5916405EB0 3 0.4491 0.70580 0.008 0.000 0.760 0.168 0.064
#> DED4EA4D-9DC2-4419-83EC-2BFE75DC1830 2 0.0000 0.85654 0.000 1.000 0.000 0.000 0.000
#> 13A35364-57C5-4F5A-B077-3BA2689BFDD3 1 0.0000 0.73097 1.000 0.000 0.000 0.000 0.000
#> 2641B816-1D21-496E-85AD-1C690C9146A6 3 0.2971 0.74606 0.000 0.000 0.836 0.156 0.008
#> 96E2AD09-7287-4B91-840E-81444A61D56F 3 0.6080 0.48904 0.000 0.248 0.568 0.000 0.184
#> 62F3327F-FB16-4AD0-BCF5-B180F28281A9 2 0.5763 0.48263 0.000 0.620 0.000 0.188 0.192
#> 112F7032-0212-4939-9449-D67E3600CCD5 2 0.4403 0.03234 0.000 0.560 0.436 0.000 0.004
#> A3B4DE21-DDF0-4468-A300-7BECBAFD0BCD 4 0.6575 -0.20779 0.392 0.000 0.004 0.428 0.176
#> 0A03E593-6931-419C-AE47-51D75185C2C0 3 0.1831 0.73068 0.000 0.000 0.920 0.004 0.076
#> 2416A3DC-A563-4FD1-A139-0E6EF7185211 2 0.2891 0.74166 0.000 0.824 0.000 0.000 0.176
#> 18B29573-822C-405F-B793-DBC8924866CE 2 0.0000 0.85654 0.000 1.000 0.000 0.000 0.000
#> 994EC227-B239-4CEE-AC96-EB5CC0AF583E 1 0.0000 0.73097 1.000 0.000 0.000 0.000 0.000
#> 950933A3-5757-4914-9DC5-C220C2A455FD 3 0.0510 0.75634 0.000 0.000 0.984 0.000 0.016
#> DBDFE95C-F941-407A-BE7D-D43D50143C4D 2 0.0000 0.85654 0.000 1.000 0.000 0.000 0.000
#> D024393C-29D0-41C4-AB86-7E94581FDD26 4 0.6386 0.53550 0.000 0.000 0.180 0.480 0.340
#> 4975AB35-93E5-400D-A429-CEA81BA89FFE 1 0.4735 0.47560 0.524 0.000 0.000 0.016 0.460
#> 666ADCA2-1AE4-4843-B1C8-8EE29C44AE74 1 0.6521 0.17217 0.584 0.000 0.180 0.028 0.208
#> A8F79C08-3943-4707-ADCB-890A955B5394 2 0.0000 0.85654 0.000 1.000 0.000 0.000 0.000
#> A81614ED-14CB-4EBC-988E-F67FBCBF62D8 2 0.0000 0.85654 0.000 1.000 0.000 0.000 0.000
#> E27E65C8-5B57-4C91-9D20-C075AEA2F2C5 1 0.3684 0.60437 0.720 0.000 0.000 0.000 0.280
#> 745F18CA-080D-42FE-BAA6-89AD7E3D3408 4 0.5334 0.42484 0.000 0.052 0.000 0.512 0.436
#> E755A625-799D-4A39-9D56-080228E0B669 2 0.3274 0.62196 0.220 0.780 0.000 0.000 0.000
#> 3D94EFB8-94D4-4FDE-97D8-18A159279996 3 0.4565 0.57133 0.000 0.308 0.664 0.000 0.028
#> 3D305C2E-6C86-4684-AA2A-155291AB4CC3 1 0.1638 0.71653 0.932 0.000 0.000 0.004 0.064
#> E140052A-5434-4C44-9873-0318D1D272CA 2 0.0000 0.85654 0.000 1.000 0.000 0.000 0.000
#> 68E56692-D46D-4A27-86CD-717E10AADDDA 3 0.1671 0.73273 0.000 0.000 0.924 0.000 0.076
#> 00A0586E-5F05-47B3-925C-87E811B0893B 3 0.4734 0.67563 0.000 0.000 0.724 0.188 0.088
#> E2B019A7-7C95-40FE-800C-D30E9730825C 5 0.8265 0.14937 0.180 0.000 0.200 0.220 0.400
#> 1B9ABB69-5CC6-4B6B-ABBC-71CC3274C7F0 1 0.1041 0.71693 0.964 0.000 0.000 0.032 0.004
#> FAE396AA-3C3C-4AF9-953D-385C41B2DB5B 1 0.3519 0.52768 0.776 0.000 0.000 0.216 0.008
#> 6BE4397D-1E5B-4486-83B4-EE0EC146C805 2 0.0162 0.85578 0.000 0.996 0.000 0.000 0.004
#> EE38BD4E-5A08-4639-912F-04203F53762F 1 0.0000 0.73097 1.000 0.000 0.000 0.000 0.000
#> 4050E7F8-80B6-46F2-8FF0-D4EC313E975B 3 0.1329 0.75902 0.032 0.000 0.956 0.008 0.004
#> F3565161-FFBE-4138-9773-558DB386710C 1 0.0000 0.73097 1.000 0.000 0.000 0.000 0.000
#> BA9ABEB1-D3F0-4F09-A647-25211C47C3D0 2 0.0000 0.85654 0.000 1.000 0.000 0.000 0.000
#> 9E41E79A-4028-4F60-8250-411F191B665C 1 0.0000 0.73097 1.000 0.000 0.000 0.000 0.000
#> 5F1D3EFD-ECDA-4C92-8D81-491484F09C95 3 0.6130 0.48207 0.004 0.000 0.584 0.196 0.216
#> 0DBA04CB-417D-4E2B-BE83-3563F45291C4 1 0.0609 0.72111 0.980 0.020 0.000 0.000 0.000
#> B9B882A5-194B-4F5C-B702-0CF71CA6D9D2 2 0.6418 0.19004 0.000 0.472 0.000 0.184 0.344
#> 67FE7638-B8F5-4631-B178-AC23B0382983 1 0.4138 0.54157 0.616 0.000 0.000 0.000 0.384
#> FE03FC2C-9A4E-4F89-8681-E33DFECCC692 2 0.0162 0.85481 0.004 0.996 0.000 0.000 0.000
#> 2B22B4B7-8A39-435C-BE3B-86FA84C8F941 5 0.7123 -0.30641 0.000 0.120 0.404 0.056 0.420
#> 00844B35-C108-4AEC-A687-4A91A2F33E6D 1 0.0162 0.73016 0.996 0.000 0.000 0.000 0.004
#> C221EE7A-6343-4B6D-B322-0A2C0F0B29AF 1 0.3452 0.63253 0.756 0.000 0.000 0.000 0.244
#> B28A6D56-7654-4829-BF1F-657C3C2C10D8 1 0.4294 0.47922 0.532 0.000 0.000 0.000 0.468
#> F4C7BCEC-3CD4-4D9A-89EA-0ED58EA0DCFE 1 0.1831 0.68448 0.920 0.000 0.000 0.076 0.004
#> F06FBFAB-D143-47AE-BEE7-51B48164764F 1 0.4440 0.47546 0.528 0.000 0.004 0.000 0.468
#> 525F522B-E865-4479-AE65-510903ABF46F 3 0.6290 0.52333 0.000 0.188 0.584 0.012 0.216
#> F0CB60E3-C412-46A2-918F-8C5C099AB224 4 0.6036 0.53782 0.004 0.000 0.164 0.592 0.240
#> 587F307F-6E1B-487E-8E47-A99AB43DC5B4 3 0.2886 0.74895 0.000 0.000 0.844 0.148 0.008
#> 883D9145-8414-4571-A3E1-516F03452C46 1 0.5177 0.43466 0.488 0.000 0.000 0.040 0.472
#> 4A917271-7EA0-4F43-B474-7F5EA756EB05 1 0.0000 0.73097 1.000 0.000 0.000 0.000 0.000
#> BB33015D-218C-4A1E-8839-95837D6E9B88 1 0.0771 0.72268 0.976 0.000 0.000 0.020 0.004
#> 021CC81F-710D-4EEA-B1D8-012A81715ACC 1 0.1571 0.69923 0.936 0.000 0.000 0.060 0.004
#> B00C4925-47E3-4442-ABEB-82D714A26587 4 0.0932 0.49998 0.004 0.000 0.020 0.972 0.004
#> F79B27D3-0426-47BB-9756-7E0759246E5E 2 0.0579 0.85132 0.000 0.984 0.008 0.000 0.008
#> 1F179559-D93E-491C-B499-64F86C31DAE0 5 0.6477 0.21373 0.000 0.000 0.196 0.340 0.464
#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 4 0.4400 0.35035 0.000 0.000 0.212 0.736 0.052
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 1 0.4440 0.47546 0.528 0.000 0.004 0.000 0.468
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 5 0.7764 -0.14695 0.332 0.000 0.096 0.160 0.412
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 2 0.0000 0.85654 0.000 1.000 0.000 0.000 0.000
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 1 0.1484 0.70465 0.944 0.000 0.000 0.048 0.008
#> ED9794C0-AC60-4B54-8214-D26714871BBF 1 0.0000 0.73097 1.000 0.000 0.000 0.000 0.000
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 4 0.5648 0.49581 0.000 0.000 0.076 0.476 0.448
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 2 0.0162 0.85578 0.000 0.996 0.000 0.000 0.004
#> 18D816AF-394A-482F-B22E-896A43B1E481 2 0.0404 0.85376 0.000 0.988 0.000 0.000 0.012
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 1 0.7293 -0.00248 0.488 0.000 0.176 0.056 0.280
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 3 0.0609 0.75552 0.000 0.000 0.980 0.000 0.020
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 2 0.3882 0.68400 0.000 0.756 0.000 0.020 0.224
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 3 0.3171 0.73677 0.000 0.000 0.816 0.176 0.008
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 4 0.0290 0.50273 0.000 0.000 0.000 0.992 0.008
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 4 0.6349 0.25815 0.000 0.212 0.000 0.520 0.268
#> 7E809698-2473-4EFE-B896-1637983EC596 2 0.6754 0.04109 0.000 0.396 0.000 0.332 0.272
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 3 0.2971 0.74647 0.000 0.000 0.836 0.156 0.008
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 3 0.3171 0.73677 0.000 0.000 0.816 0.176 0.008
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 2 0.4218 0.56202 0.000 0.660 0.008 0.000 0.332
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.0000 0.73097 1.000 0.000 0.000 0.000 0.000
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.0000 0.73097 1.000 0.000 0.000 0.000 0.000
#> 73F28A79-7D35-4FE9-849D-FFE681483928 4 0.0727 0.49686 0.004 0.000 0.012 0.980 0.004
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 1 0.0000 0.73097 1.000 0.000 0.000 0.000 0.000
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 3 0.0794 0.75285 0.000 0.000 0.972 0.000 0.028
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 1 0.4437 0.47939 0.532 0.000 0.004 0.000 0.464
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.0162 0.85578 0.000 0.996 0.000 0.000 0.004
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.0000 0.73097 1.000 0.000 0.000 0.000 0.000
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 1 0.2707 0.63184 0.860 0.000 0.000 0.132 0.008
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 1 0.4821 0.46773 0.516 0.000 0.000 0.020 0.464
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 5 0.6642 -0.27239 0.408 0.000 0.168 0.008 0.416
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.1697 0.76653 0.000 0.000 0.932 0.060 0.008
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.0000 0.73097 1.000 0.000 0.000 0.000 0.000
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.0000 0.85654 0.000 1.000 0.000 0.000 0.000
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 4 0.1205 0.50885 0.000 0.000 0.004 0.956 0.040
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.0000 0.85654 0.000 1.000 0.000 0.000 0.000
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 5 0.6918 -0.16913 0.000 0.256 0.008 0.308 0.428
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 4 0.6296 0.53267 0.000 0.000 0.160 0.480 0.360
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 4 0.6326 0.53381 0.000 0.000 0.172 0.492 0.336
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 4 0.6386 0.53550 0.000 0.000 0.180 0.480 0.340
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.0000 0.73097 1.000 0.000 0.000 0.000 0.000
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.3365 0.73376 0.004 0.000 0.808 0.180 0.008
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.4440 0.47546 0.528 0.000 0.004 0.000 0.468
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.0703 0.71864 0.976 0.024 0.000 0.000 0.000
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.4283 0.48948 0.544 0.000 0.000 0.000 0.456
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.0000 0.85654 0.000 1.000 0.000 0.000 0.000
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 4 0.5826 -0.29517 0.000 0.000 0.404 0.500 0.096
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.1124 0.71606 0.960 0.000 0.000 0.036 0.004
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 5 0.7344 0.20577 0.172 0.072 0.000 0.248 0.508
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.0000 0.73097 1.000 0.000 0.000 0.000 0.000
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 4 0.3171 0.53704 0.000 0.000 0.008 0.816 0.176
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 5 0.4656 -0.47608 0.000 0.000 0.012 0.480 0.508
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 4 0.1851 0.49790 0.000 0.000 0.000 0.912 0.088
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 4 0.6386 0.53550 0.000 0.000 0.180 0.480 0.340
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 3 0.3333 0.62585 0.000 0.000 0.788 0.004 0.208
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 3 0.4857 0.39239 0.000 0.000 0.636 0.040 0.324
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.4294 0.47922 0.532 0.000 0.000 0.000 0.468
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.4440 0.47546 0.528 0.000 0.004 0.000 0.468
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 4 0.0609 0.49674 0.000 0.000 0.020 0.980 0.000
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.1124 0.84148 0.000 0.960 0.004 0.000 0.036
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.1197 0.83599 0.000 0.952 0.000 0.000 0.048
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 4 0.5273 0.54419 0.000 0.000 0.164 0.680 0.156
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.3003 0.72094 0.000 0.000 0.812 0.000 0.188
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.0000 0.85654 0.000 1.000 0.000 0.000 0.000
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 4 0.6142 0.52148 0.000 0.000 0.132 0.472 0.396
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 4 0.6386 0.53550 0.000 0.000 0.180 0.480 0.340
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.3388 0.68179 0.000 0.200 0.792 0.000 0.008
#> CA356591-D24F-41A8-8C9A-1178C7781510 4 0.6441 0.52918 0.000 0.000 0.188 0.468 0.344
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.3171 0.73677 0.000 0.000 0.816 0.176 0.008
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.0000 0.73097 1.000 0.000 0.000 0.000 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 6 0.0717 0.75466 0.000 0.000 0.008 0.016 0.000 0.976
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.5650 0.58927 0.000 0.228 0.624 0.056 0.092 0.000
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 6 0.0146 0.75849 0.000 0.000 0.000 0.004 0.000 0.996
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.0260 0.86154 0.000 0.992 0.000 0.000 0.008 0.000
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#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 4 0.5499 0.69414 0.000 0.000 0.100 0.676 0.112 0.112
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.1074 0.85377 0.000 0.960 0.000 0.012 0.028 0.000
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 6 0.6185 0.47645 0.000 0.044 0.012 0.292 0.100 0.552
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 6 0.0260 0.75900 0.000 0.000 0.000 0.008 0.000 0.992
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 6 0.3454 0.66516 0.004 0.004 0.000 0.036 0.148 0.808
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 6 0.0000 0.75870 0.000 0.000 0.000 0.000 0.000 1.000
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.0146 0.76810 0.996 0.000 0.000 0.000 0.004 0.000
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#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 5 0.3944 0.68222 0.428 0.000 0.004 0.000 0.568 0.000
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.1863 0.72027 0.920 0.060 0.000 0.004 0.016 0.000
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 5 0.3828 0.66842 0.440 0.000 0.000 0.000 0.560 0.000
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.0146 0.86278 0.000 0.996 0.000 0.004 0.000 0.000
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 4 0.5114 0.59981 0.004 0.000 0.292 0.604 0.100 0.000
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#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.0146 0.76810 0.996 0.000 0.000 0.000 0.004 0.000
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 6 0.5593 0.37138 0.000 0.000 0.104 0.216 0.048 0.632
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 6 0.3409 0.65889 0.000 0.000 0.000 0.192 0.028 0.780
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 4 0.4411 0.69389 0.000 0.000 0.004 0.712 0.204 0.080
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 6 0.0146 0.75868 0.000 0.000 0.000 0.004 0.000 0.996
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 3 0.4472 0.28880 0.000 0.000 0.496 0.028 0.000 0.476
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 6 0.1918 0.71188 0.000 0.000 0.088 0.008 0.000 0.904
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 5 0.3950 0.67871 0.432 0.000 0.004 0.000 0.564 0.000
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 5 0.3937 0.68585 0.424 0.000 0.004 0.000 0.572 0.000
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 4 0.5570 0.70095 0.000 0.000 0.152 0.652 0.144 0.052
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.4989 0.68193 0.000 0.692 0.024 0.168 0.116 0.000
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.2494 0.80905 0.000 0.864 0.000 0.120 0.016 0.000
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 4 0.5704 0.43750 0.000 0.000 0.192 0.508 0.000 0.300
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.6035 0.60935 0.000 0.004 0.604 0.212 0.116 0.064
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.0508 0.85947 0.000 0.984 0.000 0.004 0.012 0.000
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 6 0.1528 0.75168 0.000 0.000 0.000 0.048 0.016 0.936
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 6 0.0000 0.75870 0.000 0.000 0.000 0.000 0.000 1.000
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.5005 0.63843 0.000 0.188 0.692 0.036 0.084 0.000
#> CA356591-D24F-41A8-8C9A-1178C7781510 6 0.1682 0.74449 0.000 0.000 0.020 0.052 0.000 0.928
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.0713 0.72143 0.000 0.000 0.972 0.000 0.028 0.000
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.0000 0.76954 1.000 0.000 0.000 0.000 0.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["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 17888 rows and 430 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'MAD' method.
#> Subgroups are detected by 'pam' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 3.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.170 0.328 0.738 0.4819 0.500 0.500
#> 3 3 0.313 0.495 0.761 0.3528 0.571 0.327
#> 4 4 0.392 0.485 0.706 0.1334 0.788 0.478
#> 5 5 0.507 0.479 0.714 0.0683 0.868 0.550
#> 6 6 0.550 0.388 0.657 0.0441 0.907 0.598
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
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 1 0.9983 -0.008412 0.524 0.476
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 1 0.4939 0.514689 0.892 0.108
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 2 0.9963 0.076448 0.464 0.536
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.0938 0.567773 0.012 0.988
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 2 0.9775 0.129371 0.412 0.588
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 2 0.9983 -0.006944 0.476 0.524
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 1 0.9983 -0.008412 0.524 0.476
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 2 0.2948 0.563022 0.052 0.948
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.5178 0.513568 0.116 0.884
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.7745 0.413789 0.228 0.772
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.9963 0.009802 0.464 0.536
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 1 0.0938 0.545721 0.988 0.012
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.5294 0.510027 0.880 0.120
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.3114 0.550454 0.056 0.944
#> ECB2DF14-CF68-44D4-8719-973AE448B992 1 1.0000 0.042555 0.504 0.496
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 2 0.9944 0.206476 0.456 0.544
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 1 0.0000 0.545550 1.000 0.000
#> 3282F146-2782-4877-9EFE-6020AC277A8C 2 0.8713 0.336376 0.292 0.708
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 2 0.8144 0.453786 0.252 0.748
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 2 0.5519 0.535782 0.128 0.872
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.6247 0.479888 0.156 0.844
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 2 0.9988 -0.017623 0.480 0.520
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.1633 0.564534 0.024 0.976
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 1 0.9358 0.289352 0.648 0.352
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 1 0.2236 0.545714 0.964 0.036
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 2 0.8081 0.456804 0.248 0.752
#> C945DDA9-0194-46F4-89E2-13883284D5A4 1 0.8608 0.466056 0.716 0.284
#> 79B11925-9772-474F-A729-D00315959710 1 1.0000 0.042555 0.504 0.496
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 2 0.2043 0.564920 0.032 0.968
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 1 0.4431 0.537838 0.908 0.092
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 1 0.8144 0.466834 0.748 0.252
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.9996 0.056820 0.512 0.488
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.3879 0.550767 0.076 0.924
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 1 0.2603 0.540894 0.956 0.044
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 1 0.3274 0.528671 0.940 0.060
#> 26796E5F-C0C2-466C-9012-882F6D29C149 2 0.9732 0.149358 0.404 0.596
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 2 0.9983 -0.006944 0.476 0.524
#> 1492D21A-6458-4B49-B530-7A327FCDD031 1 1.0000 0.042555 0.504 0.496
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 2 0.6887 0.500132 0.184 0.816
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 2 0.8386 0.487069 0.268 0.732
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 1.0000 0.042555 0.504 0.496
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 1 0.8443 0.296990 0.728 0.272
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.0000 0.567860 0.000 1.000
#> E846120D-D9E6-46F8-9647-2272AB064072 1 0.2423 0.542249 0.960 0.040
#> 36880C8C-91A9-49A9-A2D5-957161737F31 2 0.3584 0.558061 0.068 0.932
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.0938 0.568148 0.012 0.988
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 2 0.4562 0.542578 0.096 0.904
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 1 0.8443 0.455921 0.728 0.272
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 1 0.9323 0.324957 0.652 0.348
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 2 0.9954 0.015505 0.460 0.540
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 1 0.4298 0.511205 0.912 0.088
#> 116F3F29-AB89-4F00-9003-559041E285EB 2 0.9170 0.336432 0.332 0.668
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 1 0.8955 0.264699 0.688 0.312
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 1 0.7674 0.476336 0.776 0.224
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 2 0.6623 0.505482 0.172 0.828
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 2 0.8016 0.450560 0.244 0.756
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 2 0.9983 -0.006944 0.476 0.524
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 2 0.2236 0.564741 0.036 0.964
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 1 0.8861 0.278360 0.696 0.304
#> 299CB633-58A3-4275-BC08-E6F3669C365A 2 0.9983 -0.006944 0.476 0.524
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 1 0.0672 0.546057 0.992 0.008
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.0938 0.568252 0.012 0.988
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 1 0.6801 0.524409 0.820 0.180
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 1 0.8386 0.457981 0.732 0.268
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 2 0.6531 0.495731 0.168 0.832
#> CD576099-5450-4232-9B59-08341BED8FFA 2 0.8386 0.378778 0.268 0.732
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 2 0.5842 0.515767 0.140 0.860
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 2 0.9983 -0.006944 0.476 0.524
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 2 0.9983 -0.006944 0.476 0.524
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 2 0.1414 0.567504 0.020 0.980
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 2 0.8443 0.394094 0.272 0.728
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 1 0.9358 0.153825 0.648 0.352
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 1 1.0000 0.042555 0.504 0.496
#> 57E380FC-B6AB-466F-9936-D52192888008 1 1.0000 0.042555 0.504 0.496
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 2 0.9795 0.147833 0.416 0.584
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 2 0.9983 -0.006944 0.476 0.524
#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 2 0.8443 0.401177 0.272 0.728
#> 1D4F0B66-720D-484D-B8D5-2B290ED208A8 1 0.9922 0.025451 0.552 0.448
#> C886CA33-5080-4E3E-88A2-F9A3CF03A857 1 0.2043 0.542593 0.968 0.032
#> 9AC963E4-F82D-460E-9CAD-C651B879780A 2 0.0376 0.567851 0.004 0.996
#> 1B6CF403-D0AE-4FFE-A884-660A58F32660 1 0.9970 0.000969 0.532 0.468
#> B33316E1-11FD-4C10-956A-C9C6F78508C5 1 0.9996 0.056820 0.512 0.488
#> BB02EF6A-C57D-4A79-99C1-ED43A72FFAF7 2 0.1184 0.568118 0.016 0.984
#> 4DBA59AD-9393-4BE6-88CB-852C62C4A334 1 0.4431 0.513019 0.908 0.092
#> 7887EDC4-A0D7-4E57-B3A1-330A5683457D 1 0.8813 0.406745 0.700 0.300
#> 2CD3AC14-46FB-4260-AE5C-4305C68D49BC 2 0.2948 0.560079 0.052 0.948
#> BAB8FA79-208A-488D-B955-806263E5D6BB 2 0.2423 0.562580 0.040 0.960
#> 98C990E7-7E3B-4200-A88D-E641931302EA 2 0.9983 -0.006944 0.476 0.524
#> 894EE382-5ACA-4DEB-9267-99ADBEF6DA19 2 0.7453 0.411725 0.212 0.788
#> 98795F95-D26D-438A-AF46-B3BC3553F020 1 0.4690 0.512917 0.900 0.100
#> 9AD4C328-1554-4C92-931C-30CE8F305FDE 2 0.9977 -0.005287 0.472 0.528
#> 4D1518D9-D968-4E7F-A702-5157A1A2E83E 2 0.9983 -0.006944 0.476 0.524
#> A6E8AF8C-5D7B-4197-990B-786A869ACB96 2 1.0000 -0.044445 0.500 0.500
#> DF8B4E19-8C78-4A68-8FAE-DFF01076BC97 1 0.9661 0.203999 0.608 0.392
#> 8D2C608F-3280-4CA2-B996-9AE3DBDBBD28 1 0.2423 0.540545 0.960 0.040
#> E7BCBD8D-1219-4A99-948A-47A258A5CD8B 2 0.9491 0.195224 0.368 0.632
#> 2C9633A5-8ACB-4D16-8120-F098BA14BB04 2 0.0938 0.568148 0.012 0.988
#> 985D9304-E4DA-4038-B235-067CBFEAC902 2 0.0376 0.568253 0.004 0.996
#> D34CE243-6F4F-4158-9FC4-77E1640E8A91 2 0.0938 0.568249 0.012 0.988
#> 65131575-48D3-42C2-B411-3DB871EF5EE1 2 0.9358 0.299237 0.352 0.648
#> 1AE13DFA-670C-43EE-9898-8FA831AEDDB3 1 0.9983 -0.008412 0.524 0.476
#> 3ACDCD29-1B8D-455D-9EE9-D6C903B16D09 1 0.9933 0.129702 0.548 0.452
#> C6FBC35B-0113-4F00-BE1A-831D2C551055 1 0.8207 0.463113 0.744 0.256
#> A8F3285D-A85E-4E73-9D20-9D14AA51916B 1 0.9922 0.025451 0.552 0.448
#> 51601A73-2D75-4056-AEBB-8FF8DB813450 1 0.4161 0.513660 0.916 0.084
#> 75021778-A96B-4F57-8C26-68E8F33D7EB7 2 0.9998 -0.001899 0.492 0.508
#> 71FFB439-22A1-4EBB-AEA6-A6BCA8CA6648 1 0.4562 0.511579 0.904 0.096
#> BEDB0135-0A26-44EF-9028-C4907403B110 1 0.1414 0.547512 0.980 0.020
#> 3B8BA56B-0E7B-4754-8729-8D613D0484E1 1 0.9775 0.254662 0.588 0.412
#> 100BF963-6103-45E6-A760-E44649580CF5 2 0.7815 0.465851 0.232 0.768
#> C26F21EA-5911-483F-BF64-03904BF93A20 2 1.0000 -0.030983 0.496 0.504
#> 9E50162D-8149-41D2-86C1-1C892EB98DFA 2 0.7883 0.459427 0.236 0.764
#> 09521B29-B002-4AAD-93F1-6E600DD31515 2 0.7674 0.418131 0.224 0.776
#> 45FD44A6-7976-4453-BD3F-99D21DA3ECC2 1 0.7883 0.469464 0.764 0.236
#> 9EE0976F-1422-4F65-8837-93A192984CDF 1 0.4161 0.513660 0.916 0.084
#> 2FBAA1AA-39F7-4C58-A7DA-76B1F4B26B2E 2 0.3584 0.555497 0.068 0.932
#> B7A695A4-0B74-41E9-8662-4010C8CA38F0 1 0.7883 0.469464 0.764 0.236
#> E9013476-D037-41EA-921E-E9E62E93B75C 1 1.0000 0.042555 0.504 0.496
#> 13FD88E9-3B06-4CB6-949F-395DDDE4B75B 2 0.4939 0.540460 0.108 0.892
#> 9103E60E-D1FC-4F0F-B2CD-751921E14EBA 1 0.0000 0.545550 1.000 0.000
#> 4AEFB9F1-A55D-472E-A963-5BB3364D9D8C 2 0.8207 0.405523 0.256 0.744
#> 05B80211-2230-436E-BA34-FD48337A5DE0 2 0.4022 0.553662 0.080 0.920
#> 6B206166-85BC-4A1A-BDD2-B249652FC09E 1 0.7815 0.471163 0.768 0.232
#> 3EA60F08-5232-4A97-A656-2A0A2F5CED07 1 0.9754 0.095144 0.592 0.408
#> 9C55C086-682B-4D21-9C77-085CFE45A07E 1 0.9970 0.087095 0.532 0.468
#> B0CE5521-96E9-4087-89EE-309D785C0F96 2 0.7883 0.405735 0.236 0.764
#> 6BF76FE6-F1DA-48F2-B55D-CB106905EA8F 2 0.9977 0.050919 0.472 0.528
#> D2ECDADA-9D0D-4044-8C61-353CCE45C0E6 2 1.0000 -0.034630 0.496 0.504
#> 9565D04D-EC61-4EF8-8519-0D84CFB0C794 2 0.3274 0.557600 0.060 0.940
#> EBAFE057-B387-4D2B-8D91-25C83221816D 2 0.2236 0.564741 0.036 0.964
#> 2CDB897D-ABAF-4EBB-837C-05CC7691D20E 1 0.9286 0.334892 0.656 0.344
#> FD2F4E8A-F89C-4016-B275-13FC6B4121E9 2 0.2043 0.564920 0.032 0.968
#> 1E27DDFF-D487-4CBF-80BC-506CC7C7C74D 2 0.9393 0.302610 0.356 0.644
#> 1DD990EF-74A8-4503-B801-C01D6C171E2E 2 0.4939 0.543042 0.108 0.892
#> 4D2DF3FF-343A-4D29-9230-015131B45BD2 2 0.1184 0.567336 0.016 0.984
#> B9949248-D762-4591-B8D6-C296C2B28D8C 2 0.9933 0.141316 0.452 0.548
#> 2D839843-4C8D-400D-8EFF-2BF9B94A27AA 1 0.7745 0.479183 0.772 0.228
#> 78C429CC-D631-43EA-9049-DAC326C98BDD 2 0.8813 0.351484 0.300 0.700
#> 71241674-DF93-4CA0-A81D-AF85B6479F62 2 0.9922 0.066759 0.448 0.552
#> 76277FC9-E447-49A4-9407-81917C90ECBD 2 0.8861 0.366888 0.304 0.696
#> 79DE0216-2CBB-4057-AC90-0366A494F106 1 1.0000 0.042555 0.504 0.496
#> 3B842084-AE30-4666-B80A-8FA36EF628F3 1 1.0000 0.042555 0.504 0.496
#> 57200367-96F1-48B9-AB7F-DC11EFE866C4 1 0.5737 0.483044 0.864 0.136
#> 219B7654-6065-41D3-964B-C829364CD87B 1 0.9909 0.062674 0.556 0.444
#> 26923D9B-CE8E-400E-93CD-E0EE1401CB9D 2 0.2778 0.562102 0.048 0.952
#> 21B783EB-B0D0-4B28-9468-D0B130D13E26 1 0.9635 0.059735 0.612 0.388
#> 67D465A4-8068-4325-ABC5-5917B7D726BB 2 0.3274 0.549001 0.060 0.940
#> 30A8ABA0-ECB4-4B44-9630-5FFF862A157F 2 0.7674 0.415964 0.224 0.776
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#> 1B9ABB69-5CC6-4B6B-ABBC-71CC3274C7F0 1 1.0000 0.042555 0.504 0.496
#> FAE396AA-3C3C-4AF9-953D-385C41B2DB5B 2 0.8327 0.431532 0.264 0.736
#> 6BE4397D-1E5B-4486-83B4-EE0EC146C805 2 0.0672 0.567587 0.008 0.992
#> EE38BD4E-5A08-4639-912F-04203F53762F 2 0.9983 -0.006944 0.476 0.524
#> 4050E7F8-80B6-46F2-8FF0-D4EC313E975B 1 0.6438 0.531618 0.836 0.164
#> F3565161-FFBE-4138-9773-558DB386710C 2 0.9983 -0.006944 0.476 0.524
#> BA9ABEB1-D3F0-4F09-A647-25211C47C3D0 2 0.2948 0.553104 0.052 0.948
#> 9E41E79A-4028-4F60-8250-411F191B665C 2 0.9983 -0.006944 0.476 0.524
#> 5F1D3EFD-ECDA-4C92-8D81-491484F09C95 1 0.0672 0.545077 0.992 0.008
#> 0DBA04CB-417D-4E2B-BE83-3563F45291C4 2 0.9983 -0.006944 0.476 0.524
#> B9B882A5-194B-4F5C-B702-0CF71CA6D9D2 2 0.9170 0.268102 0.332 0.668
#> 67FE7638-B8F5-4631-B178-AC23B0382983 1 1.0000 0.042555 0.504 0.496
#> FE03FC2C-9A4E-4F89-8681-E33DFECCC692 2 0.9954 0.015505 0.460 0.540
#> 2B22B4B7-8A39-435C-BE3B-86FA84C8F941 1 0.9983 -0.008412 0.524 0.476
#> 00844B35-C108-4AEC-A687-4A91A2F33E6D 1 1.0000 0.042555 0.504 0.496
#> C221EE7A-6343-4B6D-B322-0A2C0F0B29AF 1 1.0000 0.042555 0.504 0.496
#> B28A6D56-7654-4829-BF1F-657C3C2C10D8 1 0.9970 0.128834 0.532 0.468
#> F4C7BCEC-3CD4-4D9A-89EA-0ED58EA0DCFE 1 1.0000 0.042555 0.504 0.496
#> F06FBFAB-D143-47AE-BEE7-51B48164764F 1 0.9000 0.393439 0.684 0.316
#> 525F522B-E865-4479-AE65-510903ABF46F 2 0.6623 0.471663 0.172 0.828
#> F0CB60E3-C412-46A2-918F-8C5C099AB224 2 0.8955 0.387062 0.312 0.688
#> 587F307F-6E1B-487E-8E47-A99AB43DC5B4 1 0.0672 0.546057 0.992 0.008
#> 883D9145-8414-4571-A3E1-516F03452C46 2 0.9988 -0.022167 0.480 0.520
#> 4A917271-7EA0-4F43-B474-7F5EA756EB05 2 0.9983 -0.006944 0.476 0.524
#> BB33015D-218C-4A1E-8839-95837D6E9B88 1 0.9996 0.056820 0.512 0.488
#> 021CC81F-710D-4EEA-B1D8-012A81715ACC 1 0.9944 0.121578 0.544 0.456
#> B00C4925-47E3-4442-ABEB-82D714A26587 2 0.9815 0.192977 0.420 0.580
#> F79B27D3-0426-47BB-9756-7E0759246E5E 2 0.7883 0.415809 0.236 0.764
#> 1F179559-D93E-491C-B499-64F86C31DAE0 1 0.0672 0.545077 0.992 0.008
#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 1 0.4431 0.509625 0.908 0.092
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 1 0.9909 0.137143 0.556 0.444
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 1 0.7674 0.476336 0.776 0.224
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 2 0.1633 0.568736 0.024 0.976
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 2 0.9881 0.017045 0.436 0.564
#> ED9794C0-AC60-4B54-8214-D26714871BBF 2 0.9983 -0.006944 0.476 0.524
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 2 0.8955 0.353312 0.312 0.688
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 2 0.0938 0.566969 0.012 0.988
#> 18D816AF-394A-482F-B22E-896A43B1E481 2 0.0672 0.567364 0.008 0.992
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 2 0.9833 0.057199 0.424 0.576
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 1 0.8207 0.313383 0.744 0.256
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 2 0.6531 0.491667 0.168 0.832
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 1 0.0000 0.545550 1.000 0.000
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 2 0.8144 0.440103 0.252 0.748
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 2 0.5519 0.522735 0.128 0.872
#> 7E809698-2473-4EFE-B896-1637983EC596 2 0.2043 0.565752 0.032 0.968
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 1 0.0672 0.545077 0.992 0.008
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 1 0.3274 0.528634 0.940 0.060
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 2 0.8267 0.401244 0.260 0.740
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 2 0.9983 -0.006944 0.476 0.524
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 2 0.9983 -0.006944 0.476 0.524
#> 73F28A79-7D35-4FE9-849D-FFE681483928 2 0.8813 0.396942 0.300 0.700
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 1 0.9993 0.100551 0.516 0.484
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 1 0.4431 0.509625 0.908 0.092
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 1 0.9209 0.263785 0.664 0.336
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.7883 0.405735 0.236 0.764
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 2 0.9983 -0.006944 0.476 0.524
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 1 0.8386 0.447232 0.732 0.268
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 1 0.9000 0.379410 0.684 0.316
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 1 0.8016 0.417239 0.756 0.244
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 1 0.4690 0.503278 0.900 0.100
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 2 0.9983 -0.006944 0.476 0.524
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.4431 0.543413 0.092 0.908
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 2 0.5629 0.524078 0.132 0.868
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.7815 0.417972 0.232 0.768
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 2 0.6247 0.504456 0.156 0.844
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 2 0.2423 0.565509 0.040 0.960
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 2 0.9944 -0.004435 0.456 0.544
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 2 0.7056 0.475566 0.192 0.808
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 2 0.9983 -0.006944 0.476 0.524
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 1 0.1184 0.544873 0.984 0.016
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.8207 0.469629 0.744 0.256
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 2 0.9970 0.004082 0.468 0.532
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.8207 0.464862 0.744 0.256
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.0672 0.567672 0.008 0.992
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 1 0.7883 0.469464 0.764 0.236
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.8144 0.466353 0.748 0.252
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 1 0.8443 0.455921 0.728 0.272
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 2 0.9983 -0.006944 0.476 0.524
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 2 0.6887 0.446414 0.184 0.816
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 2 0.2423 0.563896 0.040 0.960
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 2 0.8207 0.425310 0.256 0.744
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 2 0.9710 0.204224 0.400 0.600
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 1 0.9896 0.028673 0.560 0.440
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 1 0.8763 0.251177 0.704 0.296
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.9833 0.233376 0.576 0.424
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.8813 0.290164 0.700 0.300
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 1 0.8016 0.468211 0.756 0.244
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.7883 0.405735 0.236 0.764
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.4562 0.550109 0.096 0.904
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 1 0.9129 0.193512 0.672 0.328
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 1 0.9963 0.006479 0.536 0.464
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.4815 0.538908 0.104 0.896
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 2 0.5519 0.546501 0.128 0.872
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 1 0.9977 0.000236 0.528 0.472
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 1 0.2236 0.540859 0.964 0.036
#> CA356591-D24F-41A8-8C9A-1178C7781510 1 0.9963 0.005863 0.536 0.464
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 1 0.3584 0.524557 0.932 0.068
#> 825309CC-4841-4475-BF77-8250C5EEADD8 2 0.9983 -0.006944 0.476 0.524
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 3 0.5291 0.37322 0.000 0.268 0.732
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.7378 0.25643 0.404 0.036 0.560
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 3 0.8966 0.23608 0.176 0.268 0.556
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.0000 0.78503 0.000 1.000 0.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 3 0.5115 0.45218 0.228 0.004 0.768
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 1 0.1163 0.71022 0.972 0.028 0.000
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 3 0.0592 0.61748 0.000 0.012 0.988
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 2 0.9884 0.03479 0.260 0.376 0.364
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.0237 0.78448 0.000 0.996 0.004
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.1753 0.77211 0.000 0.952 0.048
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 1 0.5016 0.60766 0.760 0.240 0.000
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.5621 0.44509 0.308 0.000 0.692
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.6823 -0.06358 0.504 0.012 0.484
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.0661 0.78536 0.004 0.988 0.008
#> ECB2DF14-CF68-44D4-8719-973AE448B992 1 0.4615 0.63060 0.836 0.020 0.144
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 3 0.9853 0.01413 0.360 0.252 0.388
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 3 0.6280 0.18374 0.460 0.000 0.540
#> 3282F146-2782-4877-9EFE-6020AC277A8C 3 0.8186 0.28958 0.104 0.292 0.604
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 3 0.9969 0.05712 0.308 0.320 0.372
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 1 0.9501 0.32098 0.488 0.224 0.288
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.5559 0.64668 0.192 0.780 0.028
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 1 0.1289 0.70822 0.968 0.032 0.000
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.0237 0.78448 0.000 0.996 0.004
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 1 0.5986 0.46372 0.736 0.024 0.240
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 3 0.2229 0.61597 0.044 0.012 0.944
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 1 0.8250 0.37036 0.600 0.292 0.108
#> C945DDA9-0194-46F4-89E2-13883284D5A4 3 0.3771 0.57898 0.112 0.012 0.876
#> 79B11925-9772-474F-A729-D00315959710 1 0.0747 0.70938 0.984 0.016 0.000
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 2 0.7815 0.51454 0.260 0.644 0.096
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 1 0.5919 0.40468 0.712 0.012 0.276
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 3 0.6075 0.43108 0.316 0.008 0.676
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.0475 0.70737 0.992 0.004 0.004
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.7757 0.53322 0.224 0.664 0.112
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 1 0.6051 0.38723 0.696 0.012 0.292
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.4504 0.54809 0.196 0.000 0.804
#> 26796E5F-C0C2-466C-9012-882F6D29C149 3 0.5285 0.43355 0.244 0.004 0.752
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 0.1031 0.70939 0.976 0.024 0.000
#> 1492D21A-6458-4B49-B530-7A327FCDD031 1 0.5921 0.55179 0.756 0.032 0.212
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 1 0.9189 0.02991 0.436 0.416 0.148
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 3 0.7379 0.27295 0.048 0.336 0.616
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.1753 0.70764 0.952 0.048 0.000
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 1 0.6950 0.23896 0.572 0.020 0.408
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.0892 0.78343 0.020 0.980 0.000
#> E846120D-D9E6-46F8-9647-2272AB064072 1 0.6267 0.03864 0.548 0.000 0.452
#> 36880C8C-91A9-49A9-A2D5-957161737F31 2 0.1163 0.78209 0.028 0.972 0.000
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.0592 0.78385 0.012 0.988 0.000
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 2 0.4974 0.60327 0.236 0.764 0.000
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 1 0.1774 0.70537 0.960 0.024 0.016
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 1 0.8132 0.32896 0.600 0.096 0.304
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 1 0.6307 -0.04617 0.512 0.488 0.000
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 3 0.1031 0.61766 0.024 0.000 0.976
#> 116F3F29-AB89-4F00-9003-559041E285EB 3 0.1031 0.61837 0.000 0.024 0.976
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.7143 0.28905 0.396 0.576 0.028
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 3 0.6359 0.32115 0.404 0.004 0.592
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 3 0.6526 0.55619 0.112 0.128 0.760
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 1 0.9846 0.04186 0.420 0.276 0.304
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 1 0.2537 0.70363 0.920 0.080 0.000
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 2 0.2804 0.76437 0.016 0.924 0.060
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 1 0.7824 0.51326 0.664 0.212 0.124
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.2066 0.70799 0.940 0.060 0.000
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 3 0.6180 0.26865 0.416 0.000 0.584
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.3267 0.72700 0.116 0.884 0.000
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 3 0.5443 0.49765 0.260 0.004 0.736
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 1 0.3502 0.66724 0.896 0.020 0.084
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 2 0.7874 0.45642 0.076 0.604 0.320
#> CD576099-5450-4232-9B59-08341BED8FFA 3 0.8645 0.31586 0.268 0.148 0.584
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 2 0.6629 0.42987 0.016 0.624 0.360
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 1 0.2959 0.69609 0.900 0.100 0.000
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 1 0.1163 0.70964 0.972 0.028 0.000
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 2 0.4121 0.74379 0.108 0.868 0.024
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 3 0.8958 0.19364 0.168 0.280 0.552
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 3 0.0237 0.61722 0.004 0.000 0.996
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 1 0.1525 0.71128 0.964 0.032 0.004
#> 57E380FC-B6AB-466F-9936-D52192888008 1 0.6255 0.61842 0.776 0.112 0.112
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 3 0.8405 0.34826 0.264 0.132 0.604
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 1 0.0892 0.70930 0.980 0.020 0.000
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#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 3 0.6264 0.40366 0.032 0.244 0.724
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.7319 0.21577 0.420 0.032 0.548
#> CA356591-D24F-41A8-8C9A-1178C7781510 3 0.5775 0.37477 0.012 0.260 0.728
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.4346 0.55284 0.184 0.000 0.816
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.1031 0.70939 0.976 0.024 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 3 0.6552 0.45117 0.000 0.144 0.628 0.228
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.7042 0.27731 0.352 0.132 0.516 0.000
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 3 0.8439 0.30066 0.092 0.144 0.536 0.228
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.0469 0.77096 0.012 0.988 0.000 0.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 3 0.6065 0.27359 0.080 0.000 0.644 0.276
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 1 0.5080 0.62821 0.764 0.092 0.000 0.144
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 3 0.4093 0.60772 0.000 0.072 0.832 0.096
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 4 0.6165 0.56897 0.104 0.140 0.032 0.724
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.2363 0.76612 0.000 0.920 0.024 0.056
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.2483 0.76585 0.012 0.920 0.056 0.012
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 1 0.7105 0.49124 0.560 0.184 0.000 0.256
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.4228 0.54955 0.232 0.000 0.760 0.008
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.5260 0.16337 0.568 0.004 0.424 0.004
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.2761 0.76339 0.000 0.904 0.048 0.048
#> ECB2DF14-CF68-44D4-8719-973AE448B992 4 0.5473 0.41863 0.236 0.008 0.044 0.712
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 4 0.7338 0.44750 0.136 0.092 0.116 0.656
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 1 0.5004 0.25073 0.604 0.000 0.392 0.004
#> 3282F146-2782-4877-9EFE-6020AC277A8C 4 0.5628 0.45414 0.000 0.144 0.132 0.724
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 4 0.5006 0.54339 0.016 0.136 0.060 0.788
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 4 0.9353 0.23965 0.304 0.208 0.108 0.380
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.7232 0.30876 0.080 0.588 0.292 0.040
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 1 0.4663 0.57114 0.788 0.064 0.000 0.148
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.2300 0.76667 0.000 0.924 0.028 0.048
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 1 0.2593 0.59904 0.892 0.004 0.000 0.104
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 3 0.4981 0.06744 0.000 0.000 0.536 0.464
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 4 0.8963 0.30215 0.332 0.180 0.080 0.408
#> C945DDA9-0194-46F4-89E2-13883284D5A4 4 0.3311 0.54409 0.000 0.000 0.172 0.828
#> 79B11925-9772-474F-A729-D00315959710 1 0.4522 0.54241 0.680 0.000 0.000 0.320
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 2 0.8315 0.20865 0.108 0.468 0.072 0.352
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 1 0.3464 0.59265 0.860 0.000 0.032 0.108
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 4 0.8379 0.46710 0.184 0.048 0.276 0.492
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.4331 0.57221 0.712 0.000 0.000 0.288
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.5971 0.57878 0.124 0.704 0.004 0.168
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 1 0.4072 0.58739 0.828 0.052 0.120 0.000
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.1837 0.64614 0.028 0.000 0.944 0.028
#> 26796E5F-C0C2-466C-9012-882F6D29C149 3 0.6450 0.21247 0.108 0.000 0.616 0.276
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 0.0376 0.64548 0.992 0.004 0.000 0.004
#> 1492D21A-6458-4B49-B530-7A327FCDD031 4 0.4535 0.49633 0.240 0.000 0.016 0.744
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 4 0.6330 0.47007 0.208 0.112 0.008 0.672
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 4 0.6596 0.38021 0.016 0.296 0.072 0.616
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.5203 0.51224 0.636 0.016 0.000 0.348
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 1 0.6323 -0.13675 0.500 0.000 0.060 0.440
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.2486 0.76634 0.004 0.920 0.028 0.048
#> E846120D-D9E6-46F8-9647-2272AB064072 1 0.4122 0.51198 0.760 0.000 0.236 0.004
#> 36880C8C-91A9-49A9-A2D5-957161737F31 2 0.1174 0.76505 0.012 0.968 0.000 0.020
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.0000 0.77257 0.000 1.000 0.000 0.000
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 2 0.6194 0.45068 0.132 0.668 0.000 0.200
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 1 0.2714 0.59522 0.884 0.004 0.000 0.112
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 4 0.4833 0.42161 0.228 0.000 0.032 0.740
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 2 0.7250 0.19461 0.168 0.516 0.000 0.316
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 3 0.4088 0.63379 0.040 0.000 0.820 0.140
#> 116F3F29-AB89-4F00-9003-559041E285EB 3 0.5298 0.35259 0.000 0.016 0.612 0.372
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.4655 0.50677 0.312 0.684 0.004 0.000
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 3 0.7536 -0.03551 0.244 0.000 0.492 0.264
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 3 0.7640 -0.02171 0.100 0.032 0.484 0.384
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 4 0.5859 0.49335 0.216 0.036 0.036 0.712
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 1 0.6620 0.50529 0.576 0.104 0.000 0.320
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 2 0.4039 0.73205 0.000 0.836 0.080 0.084
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 1 0.7338 0.31441 0.556 0.116 0.308 0.020
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.5090 0.53090 0.660 0.016 0.000 0.324
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 3 0.4730 0.35640 0.364 0.000 0.636 0.000
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.2224 0.75052 0.032 0.928 0.000 0.040
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 3 0.3659 0.59105 0.024 0.000 0.840 0.136
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 1 0.1661 0.64434 0.944 0.052 0.000 0.004
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 3 0.7969 0.05107 0.012 0.372 0.420 0.196
#> CD576099-5450-4232-9B59-08341BED8FFA 4 0.4788 0.53371 0.008 0.016 0.232 0.744
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 2 0.6615 0.25542 0.000 0.512 0.084 0.404
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 1 0.7059 0.47527 0.568 0.088 0.020 0.324
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 1 0.3801 0.58884 0.780 0.000 0.000 0.220
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 2 0.6337 0.65014 0.072 0.728 0.084 0.116
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 3 0.6876 0.40091 0.000 0.144 0.576 0.280
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 3 0.4477 0.44488 0.000 0.000 0.688 0.312
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 1 0.4973 0.51169 0.644 0.008 0.000 0.348
#> 57E380FC-B6AB-466F-9936-D52192888008 4 0.6200 0.18948 0.356 0.064 0.000 0.580
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 4 0.5234 0.58079 0.104 0.012 0.108 0.776
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 1 0.3726 0.60363 0.788 0.000 0.000 0.212
#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 4 0.7587 -0.00835 0.000 0.196 0.392 0.412
#> 1D4F0B66-720D-484D-B8D5-2B290ED208A8 3 0.2647 0.63171 0.000 0.000 0.880 0.120
#> C886CA33-5080-4E3E-88A2-F9A3CF03A857 3 0.4776 0.31624 0.376 0.000 0.624 0.000
#> 9AC963E4-F82D-460E-9CAD-C651B879780A 2 0.7394 0.33797 0.004 0.508 0.160 0.328
#> 1B6CF403-D0AE-4FFE-A884-660A58F32660 3 0.5331 0.55681 0.004 0.140 0.756 0.100
#> B33316E1-11FD-4C10-956A-C9C6F78508C5 1 0.4477 0.54127 0.688 0.000 0.000 0.312
#> BB02EF6A-C57D-4A79-99C1-ED43A72FFAF7 2 0.2218 0.77100 0.004 0.932 0.036 0.028
#> 4DBA59AD-9393-4BE6-88CB-852C62C4A334 3 0.5971 0.31669 0.040 0.000 0.532 0.428
#> 7887EDC4-A0D7-4E57-B3A1-330A5683457D 4 0.7182 0.39258 0.240 0.004 0.184 0.572
#> 2CD3AC14-46FB-4260-AE5C-4305C68D49BC 4 0.8713 0.50187 0.100 0.240 0.156 0.504
#> BAB8FA79-208A-488D-B955-806263E5D6BB 4 0.7821 0.50946 0.104 0.144 0.136 0.616
#> 98C990E7-7E3B-4200-A88D-E641931302EA 1 0.5901 0.54427 0.692 0.084 0.004 0.220
#> 894EE382-5ACA-4DEB-9267-99ADBEF6DA19 4 0.6248 0.51304 0.004 0.144 0.172 0.680
#> 98795F95-D26D-438A-AF46-B3BC3553F020 3 0.2179 0.64268 0.064 0.000 0.924 0.012
#> 9AD4C328-1554-4C92-931C-30CE8F305FDE 1 0.8165 0.30734 0.412 0.256 0.012 0.320
#> 4D1518D9-D968-4E7F-A702-5157A1A2E83E 1 0.6034 0.56369 0.688 0.148 0.000 0.164
#> A6E8AF8C-5D7B-4197-990B-786A869ACB96 1 0.3726 0.59172 0.788 0.000 0.000 0.212
#> DF8B4E19-8C78-4A68-8FAE-DFF01076BC97 3 0.6295 0.54387 0.132 0.212 0.656 0.000
#> 8D2C608F-3280-4CA2-B996-9AE3DBDBBD28 3 0.6977 0.33047 0.212 0.000 0.584 0.204
#> E7BCBD8D-1219-4A99-948A-47A258A5CD8B 4 0.7186 0.01865 0.000 0.136 0.420 0.444
#> 2C9633A5-8ACB-4D16-8120-F098BA14BB04 2 0.0188 0.77218 0.004 0.996 0.000 0.000
#> 985D9304-E4DA-4038-B235-067CBFEAC902 2 0.0895 0.76788 0.004 0.976 0.000 0.020
#> D34CE243-6F4F-4158-9FC4-77E1640E8A91 2 0.0336 0.77209 0.008 0.992 0.000 0.000
#> 65131575-48D3-42C2-B411-3DB871EF5EE1 4 0.5013 0.56261 0.040 0.136 0.032 0.792
#> 1AE13DFA-670C-43EE-9898-8FA831AEDDB3 3 0.4831 0.57010 0.000 0.040 0.752 0.208
#> 3ACDCD29-1B8D-455D-9EE9-D6C903B16D09 4 0.6983 0.53379 0.128 0.036 0.180 0.656
#> C6FBC35B-0113-4F00-BE1A-831D2C551055 1 0.5903 0.55604 0.616 0.052 0.000 0.332
#> A8F3285D-A85E-4E73-9D20-9D14AA51916B 3 0.3569 0.59813 0.000 0.000 0.804 0.196
#> 51601A73-2D75-4056-AEBB-8FF8DB813450 3 0.2255 0.64490 0.068 0.000 0.920 0.012
#> 75021778-A96B-4F57-8C26-68E8F33D7EB7 4 0.6247 0.58089 0.100 0.032 0.152 0.716
#> 71FFB439-22A1-4EBB-AEA6-A6BCA8CA6648 3 0.2227 0.64397 0.036 0.000 0.928 0.036
#> BEDB0135-0A26-44EF-9028-C4907403B110 4 0.7756 0.19292 0.364 0.000 0.236 0.400
#> 3B8BA56B-0E7B-4754-8729-8D613D0484E1 1 0.0469 0.64672 0.988 0.000 0.000 0.012
#> 100BF963-6103-45E6-A760-E44649580CF5 4 0.4535 0.57338 0.108 0.028 0.040 0.824
#> C26F21EA-5911-483F-BF64-03904BF93A20 1 0.6096 0.50508 0.724 0.068 0.040 0.168
#> 9E50162D-8149-41D2-86C1-1C892EB98DFA 4 0.6858 0.56705 0.144 0.072 0.096 0.688
#> 09521B29-B002-4AAD-93F1-6E600DD31515 2 0.3404 0.73389 0.000 0.864 0.032 0.104
#> 45FD44A6-7976-4453-BD3F-99D21DA3ECC2 1 0.4405 0.58192 0.800 0.000 0.152 0.048
#> 9EE0976F-1422-4F65-8837-93A192984CDF 3 0.2053 0.64207 0.072 0.000 0.924 0.004
#> 2FBAA1AA-39F7-4C58-A7DA-76B1F4B26B2E 2 0.2944 0.69214 0.004 0.868 0.000 0.128
#> B7A695A4-0B74-41E9-8662-4010C8CA38F0 4 0.8791 0.36262 0.200 0.080 0.240 0.480
#> E9013476-D037-41EA-921E-E9E62E93B75C 1 0.2973 0.58478 0.856 0.000 0.000 0.144
#> 13FD88E9-3B06-4CB6-949F-395DDDE4B75B 4 0.8487 0.30571 0.264 0.268 0.032 0.436
#> 9103E60E-D1FC-4F0F-B2CD-751921E14EBA 3 0.4477 0.43408 0.312 0.000 0.688 0.000
#> 4AEFB9F1-A55D-472E-A963-5BB3364D9D8C 2 0.5436 0.63258 0.000 0.732 0.092 0.176
#> 05B80211-2230-436E-BA34-FD48337A5DE0 2 0.6664 0.28431 0.112 0.580 0.000 0.308
#> 6B206166-85BC-4A1A-BDD2-B249652FC09E 1 0.7504 0.31628 0.464 0.000 0.192 0.344
#> 3EA60F08-5232-4A97-A656-2A0A2F5CED07 3 0.2124 0.64795 0.040 0.000 0.932 0.028
#> 9C55C086-682B-4D21-9C77-085CFE45A07E 4 0.4677 0.38550 0.316 0.000 0.004 0.680
#> B0CE5521-96E9-4087-89EE-309D785C0F96 3 0.6312 0.26284 0.008 0.380 0.564 0.048
#> 6BF76FE6-F1DA-48F2-B55D-CB106905EA8F 3 0.5469 0.44983 0.012 0.336 0.640 0.012
#> D2ECDADA-9D0D-4044-8C61-353CCE45C0E6 4 0.7714 0.31688 0.292 0.260 0.000 0.448
#> 9565D04D-EC61-4EF8-8519-0D84CFB0C794 2 0.0188 0.77218 0.004 0.996 0.000 0.000
#> EBAFE057-B387-4D2B-8D91-25C83221816D 2 0.3707 0.72023 0.000 0.840 0.028 0.132
#> 2CDB897D-ABAF-4EBB-837C-05CC7691D20E 1 0.4989 0.02545 0.528 0.000 0.000 0.472
#> FD2F4E8A-F89C-4016-B275-13FC6B4121E9 2 0.7552 0.47668 0.076 0.584 0.068 0.272
#> 1E27DDFF-D487-4CBF-80BC-506CC7C7C74D 4 0.7088 0.16044 0.004 0.144 0.288 0.564
#> 1DD990EF-74A8-4503-B801-C01D6C171E2E 2 0.2814 0.70639 0.132 0.868 0.000 0.000
#> 4D2DF3FF-343A-4D29-9230-015131B45BD2 2 0.6986 0.59017 0.108 0.684 0.088 0.120
#> B9949248-D762-4591-B8D6-C296C2B28D8C 3 0.6653 0.53287 0.072 0.232 0.660 0.036
#> 2D839843-4C8D-400D-8EFF-2BF9B94A27AA 4 0.3569 0.54933 0.000 0.000 0.196 0.804
#> 78C429CC-D631-43EA-9049-DAC326C98BDD 4 0.7417 0.29733 0.128 0.320 0.016 0.536
#> 71241674-DF93-4CA0-A81D-AF85B6479F62 4 0.5926 0.54551 0.104 0.028 0.128 0.740
#> 76277FC9-E447-49A4-9407-81917C90ECBD 4 0.4012 0.48098 0.184 0.016 0.000 0.800
#> 79DE0216-2CBB-4057-AC90-0366A494F106 1 0.4585 0.51807 0.668 0.000 0.000 0.332
#> 3B842084-AE30-4666-B80A-8FA36EF628F3 1 0.5500 0.24341 0.520 0.016 0.000 0.464
#> 57200367-96F1-48B9-AB7F-DC11EFE866C4 4 0.4866 0.09722 0.000 0.000 0.404 0.596
#> 219B7654-6065-41D3-964B-C829364CD87B 3 0.1837 0.64977 0.000 0.028 0.944 0.028
#> 26923D9B-CE8E-400E-93CD-E0EE1401CB9D 4 0.5892 0.53122 0.008 0.148 0.124 0.720
#> 21B783EB-B0D0-4B28-9468-D0B130D13E26 4 0.7504 0.31919 0.060 0.080 0.276 0.584
#> 67D465A4-8068-4325-ABC5-5917B7D726BB 2 0.2670 0.76429 0.000 0.908 0.040 0.052
#> 30A8ABA0-ECB4-4B44-9630-5FFF862A157F 2 0.0376 0.77246 0.004 0.992 0.000 0.004
#> 71040F61-834D-4A75-960D-5DABBCADD3A0 1 0.5905 0.50811 0.624 0.008 0.036 0.332
#> A4EC5E62-AF75-435A-903F-D35B171CEA2C 2 0.0188 0.77218 0.004 0.996 0.000 0.000
#> 2F6A0808-8F01-4721-938D-F1FC7C5D8357 3 0.4746 0.47686 0.056 0.000 0.776 0.168
#> F1A142BF-9737-442D-B9A1-AA03958916D8 1 0.6371 0.35377 0.608 0.092 0.300 0.000
#> 2DC1CF96-6822-412A-B002-3DC1239D17A7 3 0.3074 0.62806 0.000 0.000 0.848 0.152
#> 9C57AC2A-83C8-41EB-8DC3-9A897D8F8110 2 0.6930 0.49047 0.192 0.636 0.016 0.156
#> D22198BE-2B03-4A06-9EB6-696B67E8CEFB 3 0.2021 0.64608 0.012 0.000 0.932 0.056
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#> 4975AB35-93E5-400D-A429-CEA81BA89FFE 1 0.4585 0.52873 0.668 0.000 0.000 0.332
#> 666ADCA2-1AE4-4843-B1C8-8EE29C44AE74 4 0.8314 0.14398 0.276 0.016 0.316 0.392
#> A8F79C08-3943-4707-ADCB-890A955B5394 2 0.0564 0.77310 0.004 0.988 0.004 0.004
#> A81614ED-14CB-4EBC-988E-F67FBCBF62D8 2 0.5821 0.11788 0.432 0.536 0.000 0.032
#> E27E65C8-5B57-4C91-9D20-C075AEA2F2C5 1 0.2839 0.61423 0.884 0.004 0.108 0.004
#> 745F18CA-080D-42FE-BAA6-89AD7E3D3408 2 0.4192 0.70945 0.004 0.812 0.028 0.156
#> E755A625-799D-4A39-9D56-080228E0B669 2 0.9442 -0.02582 0.176 0.372 0.136 0.316
#> 3D94EFB8-94D4-4FDE-97D8-18A159279996 1 0.7130 0.47109 0.628 0.084 0.240 0.048
#> 3D305C2E-6C86-4684-AA2A-155291AB4CC3 1 0.2647 0.63920 0.880 0.000 0.000 0.120
#> E140052A-5434-4C44-9873-0318D1D272CA 2 0.1004 0.77358 0.000 0.972 0.004 0.024
#> 68E56692-D46D-4A27-86CD-717E10AADDDA 3 0.3024 0.62441 0.000 0.000 0.852 0.148
#> 00A0586E-5F05-47B3-925C-87E811B0893B 3 0.7573 0.15461 0.332 0.000 0.460 0.208
#> E2B019A7-7C95-40FE-800C-D30E9730825C 1 0.5436 0.55936 0.732 0.000 0.176 0.092
#> 1B9ABB69-5CC6-4B6B-ABBC-71CC3274C7F0 1 0.5112 0.46935 0.608 0.008 0.000 0.384
#> FAE396AA-3C3C-4AF9-953D-385C41B2DB5B 4 0.7271 0.41085 0.264 0.036 0.100 0.600
#> 6BE4397D-1E5B-4486-83B4-EE0EC146C805 2 0.2486 0.76634 0.004 0.920 0.028 0.048
#> EE38BD4E-5A08-4639-912F-04203F53762F 1 0.6852 0.48033 0.556 0.124 0.000 0.320
#> 4050E7F8-80B6-46F2-8FF0-D4EC313E975B 3 0.6352 0.36517 0.188 0.000 0.656 0.156
#> F3565161-FFBE-4138-9773-558DB386710C 1 0.3726 0.59467 0.788 0.000 0.000 0.212
#> BA9ABEB1-D3F0-4F09-A647-25211C47C3D0 2 0.1929 0.76954 0.000 0.940 0.024 0.036
#> 9E41E79A-4028-4F60-8250-411F191B665C 1 0.7031 0.44282 0.536 0.140 0.000 0.324
#> 5F1D3EFD-ECDA-4C92-8D81-491484F09C95 1 0.6966 0.28003 0.532 0.000 0.340 0.128
#> 0DBA04CB-417D-4E2B-BE83-3563F45291C4 1 0.7756 0.31723 0.428 0.252 0.000 0.320
#> B9B882A5-194B-4F5C-B702-0CF71CA6D9D2 1 0.7986 0.27892 0.400 0.268 0.004 0.328
#> 67FE7638-B8F5-4631-B178-AC23B0382983 1 0.3933 0.59447 0.792 0.008 0.000 0.200
#> FE03FC2C-9A4E-4F89-8681-E33DFECCC692 1 0.4283 0.49658 0.740 0.256 0.004 0.000
#> 2B22B4B7-8A39-435C-BE3B-86FA84C8F941 3 0.5148 0.53250 0.000 0.208 0.736 0.056
#> 00844B35-C108-4AEC-A687-4A91A2F33E6D 1 0.3486 0.60974 0.812 0.000 0.000 0.188
#> C221EE7A-6343-4B6D-B322-0A2C0F0B29AF 1 0.0817 0.64500 0.976 0.000 0.000 0.024
#> B28A6D56-7654-4829-BF1F-657C3C2C10D8 1 0.4037 0.59151 0.832 0.056 0.000 0.112
#> F4C7BCEC-3CD4-4D9A-89EA-0ED58EA0DCFE 1 0.5768 0.24098 0.516 0.028 0.000 0.456
#> F06FBFAB-D143-47AE-BEE7-51B48164764F 1 0.4313 0.59944 0.824 0.108 0.064 0.004
#> 525F522B-E865-4479-AE65-510903ABF46F 3 0.7595 0.28287 0.024 0.180 0.572 0.224
#> F0CB60E3-C412-46A2-918F-8C5C099AB224 4 0.6010 0.52350 0.008 0.080 0.224 0.688
#> 587F307F-6E1B-487E-8E47-A99AB43DC5B4 3 0.4522 0.41715 0.320 0.000 0.680 0.000
#> 883D9145-8414-4571-A3E1-516F03452C46 1 0.4532 0.62747 0.792 0.052 0.000 0.156
#> 4A917271-7EA0-4F43-B474-7F5EA756EB05 1 0.7128 0.42393 0.528 0.152 0.000 0.320
#> BB33015D-218C-4A1E-8839-95837D6E9B88 4 0.7011 0.34726 0.288 0.008 0.124 0.580
#> 021CC81F-710D-4EEA-B1D8-012A81715ACC 1 0.6504 0.50279 0.604 0.020 0.052 0.324
#> B00C4925-47E3-4442-ABEB-82D714A26587 4 0.6561 0.01722 0.008 0.056 0.444 0.492
#> F79B27D3-0426-47BB-9756-7E0759246E5E 3 0.6192 0.27607 0.004 0.384 0.564 0.048
#> 1F179559-D93E-491C-B499-64F86C31DAE0 4 0.6925 0.31287 0.328 0.000 0.128 0.544
#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 4 0.4888 0.12973 0.000 0.000 0.412 0.588
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 1 0.2731 0.60944 0.896 0.004 0.092 0.008
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 1 0.7346 0.40585 0.520 0.000 0.200 0.280
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 2 0.1474 0.75747 0.052 0.948 0.000 0.000
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 1 0.7749 0.41885 0.520 0.124 0.032 0.324
#> ED9794C0-AC60-4B54-8214-D26714871BBF 1 0.3032 0.63901 0.868 0.000 0.008 0.124
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 4 0.6403 0.31296 0.000 0.128 0.232 0.640
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 2 0.2300 0.76700 0.000 0.924 0.028 0.048
#> 18D816AF-394A-482F-B22E-896A43B1E481 2 0.2300 0.76667 0.000 0.924 0.028 0.048
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 4 0.6204 0.46038 0.168 0.000 0.160 0.672
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 3 0.2589 0.63538 0.000 0.000 0.884 0.116
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 2 0.3907 0.72004 0.000 0.836 0.044 0.120
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 3 0.7426 0.20470 0.376 0.000 0.452 0.172
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 4 0.2497 0.59321 0.040 0.020 0.016 0.924
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 4 0.6158 0.31143 0.000 0.292 0.080 0.628
#> 7E809698-2473-4EFE-B896-1637983EC596 2 0.6921 0.13163 0.000 0.468 0.108 0.424
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 3 0.4331 0.47244 0.288 0.000 0.712 0.000
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 3 0.2300 0.63735 0.016 0.000 0.920 0.064
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 3 0.7178 0.26681 0.000 0.324 0.520 0.156
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.2831 0.65005 0.876 0.004 0.000 0.120
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.5277 0.54289 0.668 0.028 0.000 0.304
#> 73F28A79-7D35-4FE9-849D-FFE681483928 4 0.7268 0.50243 0.160 0.024 0.204 0.612
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 1 0.5884 0.52673 0.636 0.012 0.032 0.320
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 3 0.3931 0.63457 0.040 0.000 0.832 0.128
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 1 0.4489 0.56106 0.780 0.004 0.192 0.024
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.3855 0.66388 0.004 0.820 0.164 0.012
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.4123 0.58728 0.772 0.008 0.000 0.220
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 4 0.7068 0.41676 0.168 0.012 0.208 0.612
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 1 0.3249 0.58388 0.852 0.000 0.008 0.140
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 1 0.5337 0.52490 0.732 0.028 0.220 0.020
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.2342 0.63362 0.008 0.000 0.912 0.080
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.5956 0.55114 0.680 0.100 0.000 0.220
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.0469 0.77096 0.012 0.988 0.000 0.000
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 4 0.5423 0.53210 0.000 0.144 0.116 0.740
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.3731 0.70922 0.032 0.856 0.104 0.008
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 3 0.8283 0.25691 0.100 0.288 0.520 0.092
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 4 0.5517 0.11614 0.000 0.412 0.020 0.568
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 4 0.4544 0.52838 0.164 0.000 0.048 0.788
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 3 0.8054 0.08959 0.104 0.052 0.440 0.404
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.4853 0.57778 0.744 0.036 0.000 0.220
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.4697 0.38934 0.356 0.000 0.644 0.000
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.0564 0.64576 0.988 0.004 0.004 0.004
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 2 0.7778 -0.04573 0.256 0.420 0.000 0.324
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.0524 0.64611 0.988 0.000 0.004 0.008
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.1820 0.77114 0.000 0.944 0.020 0.036
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 4 0.7908 0.08397 0.304 0.000 0.336 0.360
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.6336 0.49637 0.608 0.000 0.088 0.304
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 1 0.8750 0.28605 0.424 0.168 0.068 0.340
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.1356 0.65270 0.960 0.008 0.000 0.032
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 4 0.5326 0.57990 0.104 0.032 0.080 0.784
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 4 0.8254 0.29478 0.076 0.288 0.116 0.520
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 4 0.6349 0.40830 0.232 0.076 0.020 0.672
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 4 0.6373 0.34698 0.000 0.136 0.216 0.648
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 3 0.4544 0.60967 0.048 0.000 0.788 0.164
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 3 0.4331 0.54253 0.000 0.000 0.712 0.288
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.0564 0.64578 0.988 0.004 0.004 0.004
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.4023 0.59386 0.840 0.052 0.104 0.004
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 4 0.5018 0.45652 0.012 0.000 0.332 0.656
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 3 0.5682 0.36571 0.000 0.352 0.612 0.036
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.6277 0.64431 0.088 0.732 0.068 0.112
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 4 0.5163 -0.11136 0.000 0.004 0.480 0.516
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.3304 0.63939 0.052 0.012 0.888 0.048
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.3501 0.69330 0.132 0.848 0.000 0.020
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 4 0.7224 0.55352 0.104 0.156 0.080 0.660
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 3 0.7197 0.20410 0.000 0.140 0.468 0.392
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.7136 0.18193 0.376 0.136 0.488 0.000
#> CA356591-D24F-41A8-8C9A-1178C7781510 4 0.6491 0.01189 0.000 0.076 0.396 0.528
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.5328 0.49133 0.064 0.000 0.724 0.212
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.1022 0.65004 0.968 0.000 0.000 0.032
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 3 0.5329 0.32760 0.008 0.040 0.564 0.388 0.000
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.6264 0.14313 0.080 0.024 0.484 0.000 0.412
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 3 0.7261 0.08969 0.176 0.040 0.396 0.388 0.000
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.1121 0.82146 0.044 0.956 0.000 0.000 0.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 3 0.4956 0.13157 0.400 0.004 0.572 0.024 0.000
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 5 0.4604 0.24630 0.428 0.012 0.000 0.000 0.560
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 3 0.4464 0.45209 0.000 0.028 0.684 0.288 0.000
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 4 0.4096 0.43909 0.260 0.004 0.012 0.724 0.000
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.0833 0.81858 0.016 0.976 0.004 0.004 0.000
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.1808 0.82346 0.040 0.936 0.020 0.004 0.000
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 5 0.5109 -0.00744 0.460 0.036 0.000 0.000 0.504
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.4338 0.51989 0.016 0.000 0.712 0.008 0.264
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 3 0.6191 0.01573 0.136 0.000 0.440 0.000 0.424
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.2193 0.80635 0.028 0.920 0.008 0.044 0.000
#> ECB2DF14-CF68-44D4-8719-973AE448B992 4 0.7101 -0.01918 0.344 0.000 0.040 0.460 0.156
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 4 0.3095 0.58261 0.008 0.096 0.004 0.868 0.024
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 5 0.3550 0.58930 0.000 0.000 0.236 0.004 0.760
#> 3282F146-2782-4877-9EFE-6020AC277A8C 4 0.0898 0.59492 0.000 0.020 0.008 0.972 0.000
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 4 0.0613 0.59750 0.000 0.004 0.004 0.984 0.008
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 4 0.9041 0.20472 0.136 0.056 0.200 0.388 0.220
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 1 0.7464 -0.05683 0.388 0.316 0.260 0.036 0.000
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 5 0.4298 0.59810 0.060 0.000 0.000 0.184 0.756
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.2067 0.80772 0.028 0.924 0.004 0.044 0.000
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 5 0.0290 0.67304 0.008 0.000 0.000 0.000 0.992
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 4 0.3913 0.39946 0.000 0.000 0.324 0.676 0.000
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 1 0.8225 0.22777 0.332 0.020 0.056 0.324 0.268
#> C945DDA9-0194-46F4-89E2-13883284D5A4 4 0.2900 0.59467 0.028 0.000 0.108 0.864 0.000
#> 79B11925-9772-474F-A729-D00315959710 1 0.2516 0.58550 0.860 0.000 0.000 0.000 0.140
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 1 0.6947 0.23701 0.472 0.356 0.040 0.132 0.000
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 5 0.3573 0.62972 0.152 0.000 0.036 0.000 0.812
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 3 0.8433 -0.24748 0.272 0.004 0.308 0.292 0.124
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 5 0.6138 0.16159 0.272 0.000 0.000 0.176 0.552
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.6452 0.61033 0.124 0.628 0.000 0.184 0.064
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 5 0.0671 0.67477 0.016 0.000 0.000 0.004 0.980
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.1012 0.65227 0.000 0.000 0.968 0.020 0.012
#> 26796E5F-C0C2-466C-9012-882F6D29C149 3 0.6538 0.09913 0.352 0.000 0.444 0.204 0.000
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 5 0.2813 0.61914 0.168 0.000 0.000 0.000 0.832
#> 1492D21A-6458-4B49-B530-7A327FCDD031 4 0.4693 0.51871 0.084 0.000 0.012 0.756 0.148
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 1 0.7634 0.36100 0.496 0.128 0.008 0.272 0.096
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 4 0.2304 0.59177 0.000 0.008 0.100 0.892 0.000
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.4640 0.59034 0.696 0.000 0.000 0.048 0.256
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 4 0.4335 0.50419 0.004 0.000 0.036 0.740 0.220
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.2067 0.80868 0.028 0.924 0.004 0.044 0.000
#> E846120D-D9E6-46F8-9647-2272AB064072 5 0.4829 0.60408 0.164 0.000 0.100 0.004 0.732
#> 36880C8C-91A9-49A9-A2D5-957161737F31 2 0.3366 0.68622 0.232 0.768 0.000 0.000 0.000
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#> 587F307F-6E1B-487E-8E47-A99AB43DC5B4 3 0.3715 0.49950 0.000 0.000 0.736 0.004 0.260
#> 883D9145-8414-4571-A3E1-516F03452C46 5 0.2490 0.66648 0.080 0.000 0.004 0.020 0.896
#> 4A917271-7EA0-4F43-B474-7F5EA756EB05 1 0.1965 0.59614 0.904 0.000 0.000 0.000 0.096
#> BB33015D-218C-4A1E-8839-95837D6E9B88 1 0.5734 0.55206 0.700 0.000 0.108 0.136 0.056
#> 021CC81F-710D-4EEA-B1D8-012A81715ACC 1 0.5051 0.58128 0.684 0.000 0.060 0.008 0.248
#> B00C4925-47E3-4442-ABEB-82D714A26587 4 0.6684 0.25015 0.236 0.000 0.372 0.392 0.000
#> F79B27D3-0426-47BB-9756-7E0759246E5E 3 0.7395 0.40990 0.056 0.268 0.544 0.096 0.036
#> 1F179559-D93E-491C-B499-64F86C31DAE0 4 0.4963 0.24575 0.000 0.000 0.040 0.608 0.352
#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 4 0.2852 0.54788 0.000 0.000 0.172 0.828 0.000
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 5 0.2648 0.62724 0.152 0.000 0.000 0.000 0.848
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 5 0.6811 -0.08729 0.352 0.000 0.236 0.004 0.408
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 2 0.2127 0.80403 0.108 0.892 0.000 0.000 0.000
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 1 0.4510 0.60220 0.740 0.012 0.020 0.008 0.220
#> ED9794C0-AC60-4B54-8214-D26714871BBF 5 0.4425 0.22082 0.452 0.000 0.004 0.000 0.544
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 4 0.0771 0.59796 0.000 0.004 0.020 0.976 0.000
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 2 0.0867 0.81849 0.008 0.976 0.008 0.008 0.000
#> 18D816AF-394A-482F-B22E-896A43B1E481 2 0.1885 0.80959 0.020 0.932 0.004 0.044 0.000
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 1 0.5400 0.42126 0.656 0.000 0.056 0.268 0.020
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 3 0.3074 0.57425 0.000 0.000 0.804 0.196 0.000
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 2 0.2379 0.80384 0.028 0.912 0.012 0.048 0.000
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 5 0.6122 0.24279 0.000 0.000 0.348 0.140 0.512
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 4 0.3883 0.45784 0.244 0.000 0.004 0.744 0.008
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 4 0.2269 0.59499 0.020 0.028 0.032 0.920 0.000
#> 7E809698-2473-4EFE-B896-1637983EC596 4 0.5833 0.26739 0.028 0.312 0.060 0.600 0.000
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 3 0.3635 0.54215 0.000 0.000 0.748 0.004 0.248
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 3 0.1408 0.64635 0.000 0.000 0.948 0.044 0.008
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 3 0.7280 0.15914 0.020 0.292 0.352 0.336 0.000
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 5 0.4287 0.22869 0.460 0.000 0.000 0.000 0.540
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.2813 0.57320 0.832 0.000 0.000 0.000 0.168
#> 73F28A79-7D35-4FE9-849D-FFE681483928 1 0.7126 0.22422 0.484 0.000 0.176 0.300 0.040
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 1 0.4820 0.58909 0.696 0.000 0.068 0.000 0.236
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 3 0.3480 0.53077 0.000 0.000 0.752 0.248 0.000
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 5 0.4039 0.62007 0.184 0.000 0.036 0.004 0.776
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.2438 0.80959 0.040 0.900 0.060 0.000 0.000
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.3109 0.54359 0.800 0.000 0.000 0.000 0.200
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 1 0.7745 0.27705 0.472 0.000 0.172 0.244 0.112
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 5 0.5733 0.51288 0.160 0.000 0.000 0.220 0.620
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 5 0.3420 0.66467 0.076 0.000 0.084 0.000 0.840
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.1952 0.64641 0.000 0.000 0.912 0.084 0.004
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.3074 0.53552 0.804 0.000 0.000 0.000 0.196
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.4017 0.78847 0.104 0.820 0.000 0.036 0.040
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 4 0.1571 0.60082 0.000 0.004 0.060 0.936 0.000
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.6029 0.69732 0.128 0.704 0.100 0.032 0.036
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 3 0.7298 0.42417 0.180 0.144 0.552 0.124 0.000
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 4 0.4015 0.45033 0.004 0.264 0.008 0.724 0.000
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 4 0.5436 0.46798 0.172 0.000 0.028 0.704 0.096
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 4 0.7592 0.17900 0.280 0.044 0.296 0.380 0.000
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.2891 0.55491 0.824 0.000 0.000 0.000 0.176
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.3837 0.47032 0.000 0.000 0.692 0.000 0.308
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 5 0.3088 0.62099 0.164 0.000 0.004 0.004 0.828
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.2179 0.57342 0.896 0.100 0.000 0.000 0.004
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 5 0.2773 0.61976 0.164 0.000 0.000 0.000 0.836
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.0486 0.82090 0.004 0.988 0.004 0.004 0.000
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 3 0.7658 -0.20564 0.364 0.000 0.396 0.084 0.156
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.5960 0.35025 0.504 0.000 0.096 0.004 0.396
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 1 0.6057 0.39016 0.556 0.016 0.056 0.012 0.360
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 5 0.2891 0.59095 0.176 0.000 0.000 0.000 0.824
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 4 0.5086 0.21120 0.396 0.000 0.040 0.564 0.000
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 4 0.5757 0.47376 0.164 0.088 0.056 0.692 0.000
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 1 0.6041 0.37295 0.576 0.000 0.016 0.312 0.096
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 4 0.0566 0.59825 0.000 0.004 0.012 0.984 0.000
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 3 0.3630 0.59169 0.000 0.000 0.780 0.204 0.016
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 3 0.4297 0.19484 0.000 0.000 0.528 0.472 0.000
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 5 0.2813 0.61914 0.168 0.000 0.000 0.000 0.832
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 5 0.3231 0.61371 0.196 0.000 0.004 0.000 0.800
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 4 0.6504 0.34546 0.208 0.000 0.276 0.512 0.004
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 3 0.6836 0.38541 0.048 0.300 0.548 0.096 0.008
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.6881 0.47251 0.280 0.548 0.036 0.128 0.008
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 4 0.3143 0.46208 0.000 0.000 0.204 0.796 0.000
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.4573 0.62107 0.032 0.048 0.800 0.104 0.016
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.4562 0.62041 0.292 0.676 0.000 0.000 0.032
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 4 0.5486 0.42832 0.260 0.004 0.096 0.640 0.000
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 4 0.4426 0.20278 0.004 0.004 0.380 0.612 0.000
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.6141 0.29191 0.104 0.012 0.540 0.000 0.344
#> CA356591-D24F-41A8-8C9A-1178C7781510 4 0.2966 0.47839 0.000 0.000 0.184 0.816 0.000
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.3224 0.55597 0.000 0.000 0.824 0.160 0.016
#> 825309CC-4841-4475-BF77-8250C5EEADD8 5 0.3949 0.49391 0.332 0.000 0.000 0.000 0.668
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 6 0.5785 0.157526 0.008 0.000 0.224 0.220 0.000 0.548
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.6575 0.181459 0.000 0.044 0.420 0.180 0.356 0.000
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 4 0.7074 0.274133 0.104 0.000 0.184 0.428 0.000 0.284
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.1267 0.753294 0.000 0.940 0.000 0.060 0.000 0.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 3 0.5471 -0.052658 0.440 0.000 0.472 0.072 0.004 0.012
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 5 0.5765 0.150846 0.340 0.028 0.000 0.100 0.532 0.000
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 3 0.5718 -0.026463 0.000 0.000 0.440 0.396 0.000 0.164
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 6 0.3886 0.440814 0.140 0.000 0.004 0.080 0.000 0.776
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.1462 0.760358 0.000 0.936 0.000 0.056 0.000 0.008
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.0790 0.770717 0.000 0.968 0.000 0.032 0.000 0.000
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 1 0.6848 0.275971 0.380 0.048 0.000 0.260 0.312 0.000
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.5143 0.448654 0.012 0.000 0.640 0.108 0.240 0.000
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 3 0.6965 0.076909 0.272 0.000 0.384 0.060 0.284 0.000
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.3003 0.698673 0.000 0.812 0.000 0.172 0.000 0.016
#> ECB2DF14-CF68-44D4-8719-973AE448B992 6 0.7872 -0.000624 0.308 0.000 0.036 0.216 0.100 0.340
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 6 0.0603 0.514223 0.000 0.016 0.004 0.000 0.000 0.980
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 5 0.3592 0.391060 0.000 0.000 0.344 0.000 0.656 0.000
#> 3282F146-2782-4877-9EFE-6020AC277A8C 6 0.3136 0.363472 0.000 0.000 0.004 0.228 0.000 0.768
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 6 0.1294 0.518250 0.008 0.000 0.004 0.024 0.008 0.956
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 4 0.5823 0.395161 0.008 0.028 0.032 0.664 0.180 0.088
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 4 0.7431 -0.096076 0.284 0.272 0.036 0.376 0.016 0.016
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 5 0.4494 0.493500 0.000 0.000 0.000 0.092 0.692 0.216
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.3003 0.699506 0.000 0.812 0.000 0.172 0.000 0.016
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 5 0.0937 0.611379 0.040 0.000 0.000 0.000 0.960 0.000
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 4 0.6480 0.083185 0.008 0.000 0.280 0.404 0.008 0.300
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 4 0.7452 0.336843 0.100 0.000 0.060 0.508 0.192 0.140
#> C945DDA9-0194-46F4-89E2-13883284D5A4 6 0.2875 0.523596 0.028 0.000 0.032 0.052 0.008 0.880
#> 79B11925-9772-474F-A729-D00315959710 1 0.1141 0.512713 0.948 0.000 0.000 0.000 0.052 0.000
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 1 0.7810 0.104503 0.384 0.260 0.024 0.192 0.000 0.140
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 5 0.3617 0.540785 0.244 0.000 0.020 0.000 0.736 0.000
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 3 0.8372 -0.066303 0.272 0.000 0.332 0.100 0.100 0.196
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 5 0.5956 0.097042 0.308 0.000 0.000 0.008 0.492 0.192
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.6397 0.378198 0.000 0.444 0.000 0.384 0.104 0.068
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 5 0.1789 0.614660 0.032 0.000 0.044 0.000 0.924 0.000
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.0622 0.591877 0.000 0.000 0.980 0.000 0.012 0.008
#> 26796E5F-C0C2-466C-9012-882F6D29C149 4 0.7161 0.287804 0.168 0.000 0.288 0.440 0.008 0.096
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 5 0.3515 0.483966 0.324 0.000 0.000 0.000 0.676 0.000
#> 1492D21A-6458-4B49-B530-7A327FCDD031 6 0.4448 0.489625 0.028 0.000 0.008 0.072 0.128 0.764
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 1 0.7608 0.321939 0.480 0.156 0.000 0.104 0.056 0.204
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 6 0.1936 0.520418 0.012 0.000 0.016 0.036 0.008 0.928
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.4058 0.465509 0.660 0.000 0.000 0.004 0.320 0.016
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 6 0.6357 0.279849 0.020 0.000 0.016 0.256 0.180 0.528
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.3037 0.706263 0.004 0.820 0.000 0.160 0.000 0.016
#> E846120D-D9E6-46F8-9647-2272AB064072 5 0.6007 0.325770 0.324 0.000 0.252 0.000 0.424 0.000
#> 36880C8C-91A9-49A9-A2D5-957161737F31 2 0.3432 0.654273 0.148 0.800 0.000 0.052 0.000 0.000
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.0000 0.771404 0.000 1.000 0.000 0.000 0.000 0.000
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 1 0.6144 0.390111 0.520 0.164 0.000 0.292 0.016 0.008
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 5 0.1779 0.611454 0.064 0.000 0.000 0.000 0.920 0.016
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 6 0.7180 0.182711 0.280 0.000 0.044 0.080 0.108 0.488
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 1 0.5767 0.466376 0.572 0.180 0.000 0.232 0.016 0.000
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 3 0.4368 0.495332 0.000 0.000 0.708 0.088 0.000 0.204
#> 116F3F29-AB89-4F00-9003-559041E285EB 6 0.6012 -0.151862 0.000 0.000 0.244 0.348 0.000 0.408
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.3231 0.690385 0.008 0.832 0.000 0.044 0.116 0.000
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 3 0.4838 0.126510 0.372 0.000 0.564 0.000 0.064 0.000
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 6 0.7609 0.203568 0.192 0.024 0.264 0.092 0.004 0.424
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 1 0.7144 0.285636 0.488 0.000 0.036 0.196 0.052 0.228
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 1 0.1984 0.507452 0.912 0.000 0.000 0.032 0.056 0.000
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 4 0.4534 0.295725 0.000 0.352 0.020 0.612 0.000 0.016
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 4 0.4793 0.341062 0.000 0.012 0.080 0.676 0.232 0.000
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.1141 0.512939 0.948 0.000 0.000 0.000 0.052 0.000
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 3 0.4683 0.510357 0.000 0.000 0.652 0.068 0.276 0.004
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.0000 0.771404 0.000 1.000 0.000 0.000 0.000 0.000
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 3 0.5559 0.382772 0.232 0.000 0.600 0.156 0.004 0.008
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 5 0.1075 0.605634 0.000 0.000 0.000 0.048 0.952 0.000
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 4 0.8205 0.328273 0.068 0.276 0.240 0.320 0.000 0.096
#> CD576099-5450-4232-9B59-08341BED8FFA 6 0.7513 0.216389 0.228 0.000 0.116 0.268 0.008 0.380
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 4 0.5047 0.363487 0.000 0.080 0.004 0.584 0.000 0.332
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 1 0.4348 0.564356 0.768 0.004 0.024 0.112 0.092 0.000
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#> 021CC81F-710D-4EEA-B1D8-012A81715ACC 1 0.4648 0.465126 0.636 0.000 0.044 0.004 0.312 0.004
#> B00C4925-47E3-4442-ABEB-82D714A26587 1 0.7788 -0.041088 0.296 0.000 0.280 0.156 0.008 0.260
#> F79B27D3-0426-47BB-9756-7E0759246E5E 4 0.6475 0.194796 0.000 0.184 0.352 0.436 0.016 0.012
#> 1F179559-D93E-491C-B499-64F86C31DAE0 6 0.5271 0.236586 0.012 0.000 0.000 0.084 0.328 0.576
#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 6 0.3333 0.512015 0.012 0.000 0.040 0.100 0.008 0.840
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 5 0.3136 0.547171 0.228 0.000 0.004 0.000 0.768 0.000
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 5 0.6228 -0.078826 0.316 0.000 0.304 0.004 0.376 0.000
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 2 0.3606 0.618608 0.000 0.728 0.000 0.256 0.016 0.000
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 1 0.4780 0.485410 0.648 0.008 0.016 0.032 0.296 0.000
#> ED9794C0-AC60-4B54-8214-D26714871BBF 1 0.3659 0.041420 0.636 0.000 0.000 0.000 0.364 0.000
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 6 0.0520 0.513957 0.000 0.000 0.008 0.008 0.000 0.984
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 2 0.1204 0.760241 0.000 0.944 0.000 0.056 0.000 0.000
#> 18D816AF-394A-482F-B22E-896A43B1E481 2 0.2704 0.715655 0.000 0.844 0.000 0.140 0.000 0.016
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 1 0.5464 0.350653 0.608 0.000 0.080 0.020 0.008 0.284
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 3 0.5327 0.361109 0.000 0.000 0.596 0.208 0.000 0.196
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 2 0.3431 0.641786 0.000 0.756 0.000 0.228 0.000 0.016
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 5 0.6100 -0.006354 0.000 0.000 0.372 0.044 0.480 0.104
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 6 0.4828 0.412684 0.216 0.000 0.000 0.084 0.016 0.684
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 4 0.4806 0.280668 0.008 0.004 0.020 0.580 0.008 0.380
#> 7E809698-2473-4EFE-B896-1637983EC596 4 0.6344 0.139435 0.004 0.096 0.056 0.424 0.000 0.420
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 3 0.4765 0.524128 0.000 0.000 0.680 0.112 0.204 0.004
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 3 0.1053 0.588635 0.000 0.000 0.964 0.012 0.004 0.020
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 4 0.7201 0.313030 0.000 0.192 0.120 0.416 0.000 0.272
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.3482 0.124615 0.684 0.000 0.000 0.000 0.316 0.000
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.2039 0.507852 0.904 0.000 0.000 0.020 0.076 0.000
#> 73F28A79-7D35-4FE9-849D-FFE681483928 1 0.7006 0.263453 0.484 0.000 0.240 0.064 0.016 0.196
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 1 0.4564 0.478298 0.656 0.000 0.040 0.012 0.292 0.000
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 3 0.5467 0.379200 0.000 0.000 0.580 0.072 0.032 0.316
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 5 0.4993 0.472193 0.344 0.000 0.084 0.000 0.572 0.000
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.1779 0.729230 0.000 0.920 0.064 0.016 0.000 0.000
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.2219 0.450414 0.864 0.000 0.000 0.000 0.136 0.000
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 6 0.7931 0.053957 0.320 0.000 0.204 0.072 0.064 0.340
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 5 0.6899 0.333128 0.256 0.000 0.000 0.068 0.436 0.240
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 5 0.3966 0.586222 0.040 0.000 0.072 0.088 0.800 0.000
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.2510 0.549633 0.000 0.000 0.872 0.100 0.000 0.028
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.2872 0.438829 0.836 0.000 0.000 0.024 0.140 0.000
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.4622 0.591078 0.000 0.648 0.000 0.300 0.036 0.016
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 6 0.4414 0.490530 0.012 0.000 0.080 0.148 0.008 0.752
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.5274 0.543522 0.012 0.600 0.012 0.332 0.028 0.016
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 4 0.5731 0.472498 0.032 0.092 0.232 0.628 0.000 0.016
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 6 0.4150 0.385136 0.000 0.136 0.008 0.096 0.000 0.760
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 6 0.4878 0.499914 0.096 0.000 0.012 0.072 0.072 0.748
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 6 0.6658 0.270774 0.220 0.008 0.152 0.080 0.000 0.540
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.2972 0.452334 0.836 0.000 0.000 0.036 0.128 0.000
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.4846 0.368494 0.000 0.000 0.576 0.068 0.356 0.000
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 5 0.4593 0.485797 0.324 0.000 0.056 0.000 0.620 0.000
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.5457 0.479480 0.624 0.184 0.000 0.176 0.016 0.000
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 5 0.3852 0.485546 0.324 0.000 0.012 0.000 0.664 0.000
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.0937 0.764843 0.000 0.960 0.000 0.040 0.000 0.000
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 3 0.6811 -0.069640 0.376 0.000 0.440 0.032 0.104 0.048
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.5688 0.304846 0.488 0.000 0.144 0.000 0.364 0.004
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 1 0.6572 0.331393 0.476 0.008 0.060 0.076 0.368 0.012
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 5 0.3101 0.476933 0.244 0.000 0.000 0.000 0.756 0.000
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 6 0.5115 0.135151 0.392 0.000 0.024 0.040 0.000 0.544
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 6 0.4901 0.231970 0.024 0.008 0.028 0.304 0.000 0.636
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 1 0.5961 0.390124 0.612 0.000 0.008 0.096 0.060 0.224
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 6 0.0146 0.512743 0.000 0.000 0.004 0.000 0.000 0.996
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 3 0.5156 0.329856 0.000 0.000 0.580 0.112 0.000 0.308
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 6 0.5001 0.194561 0.000 0.000 0.308 0.096 0.000 0.596
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 5 0.3515 0.483966 0.324 0.000 0.000 0.000 0.676 0.000
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 5 0.4076 0.465404 0.348 0.000 0.012 0.004 0.636 0.000
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 6 0.7087 0.189535 0.060 0.000 0.224 0.264 0.012 0.440
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 4 0.5350 0.431495 0.000 0.212 0.196 0.592 0.000 0.000
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 4 0.4219 0.428969 0.032 0.168 0.008 0.768 0.008 0.016
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 6 0.4014 0.378694 0.000 0.000 0.096 0.148 0.000 0.756
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.4724 0.127898 0.004 0.008 0.548 0.420 0.008 0.012
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.6174 0.462124 0.144 0.568 0.000 0.228 0.060 0.000
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 6 0.5060 0.420874 0.132 0.000 0.072 0.084 0.000 0.712
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 6 0.4026 0.381174 0.000 0.000 0.160 0.088 0.000 0.752
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.6684 0.260430 0.000 0.044 0.440 0.264 0.252 0.000
#> CA356591-D24F-41A8-8C9A-1178C7781510 6 0.3967 0.382561 0.000 0.000 0.092 0.148 0.000 0.760
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.2146 0.543475 0.000 0.000 0.880 0.004 0.000 0.116
#> 825309CC-4841-4475-BF77-8250C5EEADD8 5 0.3869 0.291241 0.500 0.000 0.000 0.000 0.500 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["MAD", "mclust"]
# you can also extract it by
# res = res_list["MAD:mclust"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#> On a matrix with 17888 rows and 430 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 0.143 0.546 0.761 0.4266 0.521 0.521
#> 3 3 0.378 0.686 0.751 0.4062 0.606 0.396
#> 4 4 0.657 0.744 0.866 0.2128 0.797 0.529
#> 5 5 0.641 0.663 0.804 0.0675 0.851 0.527
#> 6 6 0.645 0.557 0.718 0.0354 0.908 0.629
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
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 2 0.689 0.684302 0.184 0.816
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 2 0.373 0.695157 0.072 0.928
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 2 0.999 0.244373 0.480 0.520
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.494 0.730884 0.108 0.892
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 1 0.981 -0.072380 0.580 0.420
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 2 0.943 0.390915 0.360 0.640
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 2 0.662 0.726349 0.172 0.828
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 1 0.996 -0.092615 0.536 0.464
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.494 0.730884 0.108 0.892
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.494 0.730884 0.108 0.892
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.821 0.609127 0.256 0.744
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 2 0.871 0.329238 0.292 0.708
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.980 0.564045 0.584 0.416
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.494 0.730884 0.108 0.892
#> ECB2DF14-CF68-44D4-8719-973AE448B992 1 0.993 0.399843 0.548 0.452
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 2 0.753 0.638775 0.216 0.784
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 2 0.999 -0.393915 0.480 0.520
#> 3282F146-2782-4877-9EFE-6020AC277A8C 2 0.939 0.429485 0.356 0.644
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 1 0.983 -0.000445 0.576 0.424
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 2 0.781 0.652210 0.232 0.768
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.506 0.730892 0.112 0.888
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 2 0.983 0.087611 0.424 0.576
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.494 0.730884 0.108 0.892
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 1 0.980 0.564045 0.584 0.416
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 1 0.689 0.415274 0.816 0.184
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 2 0.994 0.316086 0.456 0.544
#> C945DDA9-0194-46F4-89E2-13883284D5A4 2 0.983 0.415366 0.424 0.576
#> 79B11925-9772-474F-A729-D00315959710 1 0.904 0.620289 0.680 0.320
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 2 0.913 0.475091 0.328 0.672
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 1 0.980 0.564045 0.584 0.416
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 1 0.850 0.271894 0.724 0.276
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.904 0.618544 0.680 0.320
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.662 0.675976 0.172 0.828
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 1 0.980 0.564045 0.584 0.416
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 2 0.671 0.611354 0.176 0.824
#> 26796E5F-C0C2-466C-9012-882F6D29C149 2 0.917 0.484905 0.332 0.668
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 0.980 0.564045 0.584 0.416
#> 1492D21A-6458-4B49-B530-7A327FCDD031 1 0.722 0.575668 0.800 0.200
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 1 0.929 0.152211 0.656 0.344
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 2 0.990 0.313383 0.440 0.560
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.900 0.623045 0.684 0.316
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#> F177F929-546B-4A0F-A7F9-32477B32C1DA 2 0.955 0.494778 0.376 0.624
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.980 0.564045 0.584 0.416
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.980 0.564045 0.584 0.416
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 1 0.738 0.386519 0.792 0.208
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.278 0.701232 0.048 0.952
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.494 0.730884 0.108 0.892
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 2 0.760 0.704711 0.220 0.780
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 2 0.358 0.703282 0.068 0.932
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.625 0.696945 0.156 0.844
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 2 0.881 0.518456 0.300 0.700
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 2 0.980 0.341686 0.416 0.584
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 2 0.402 0.691029 0.080 0.920
#> CA356591-D24F-41A8-8C9A-1178C7781510 2 0.644 0.726906 0.164 0.836
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 2 0.871 0.328030 0.292 0.708
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.904 0.620289 0.680 0.320
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 3 0.2448 0.73842 0.000 0.076 0.924
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 2 0.8308 0.34917 0.096 0.568 0.336
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 3 0.3686 0.73190 0.000 0.140 0.860
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.0000 0.80220 0.000 1.000 0.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 3 0.3619 0.73279 0.000 0.136 0.864
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 2 0.3551 0.68354 0.132 0.868 0.000
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 3 0.2187 0.73533 0.024 0.028 0.948
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 3 0.3752 0.72992 0.000 0.144 0.856
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.0000 0.80220 0.000 1.000 0.000
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.0000 0.80220 0.000 1.000 0.000
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.1529 0.78345 0.040 0.960 0.000
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.5785 0.65526 0.332 0.000 0.668
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.5578 0.85609 0.748 0.240 0.012
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.0237 0.80196 0.004 0.996 0.000
#> ECB2DF14-CF68-44D4-8719-973AE448B992 3 0.6630 0.60920 0.028 0.300 0.672
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 3 0.5115 0.68868 0.004 0.228 0.768
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 3 0.7061 0.62771 0.332 0.036 0.632
#> 3282F146-2782-4877-9EFE-6020AC277A8C 3 0.3752 0.72992 0.000 0.144 0.856
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 3 0.3686 0.73190 0.000 0.140 0.860
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 2 0.5874 0.57427 0.032 0.760 0.208
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.0237 0.80196 0.004 0.996 0.000
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 3 0.7083 0.49538 0.028 0.380 0.592
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.0000 0.80220 0.000 1.000 0.000
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 1 0.5244 0.86179 0.756 0.240 0.004
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 3 0.2301 0.74033 0.004 0.060 0.936
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 3 0.3918 0.73246 0.004 0.140 0.856
#> C945DDA9-0194-46F4-89E2-13883284D5A4 3 0.1905 0.73535 0.028 0.016 0.956
#> 79B11925-9772-474F-A729-D00315959710 1 0.7015 0.87313 0.696 0.240 0.064
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 2 0.6299 0.13510 0.000 0.524 0.476
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 1 0.5244 0.86179 0.756 0.240 0.004
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 3 0.3755 0.73789 0.008 0.120 0.872
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.7495 0.83752 0.668 0.248 0.084
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.4409 0.66711 0.004 0.824 0.172
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 1 0.5578 0.85609 0.748 0.240 0.012
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.5785 0.65526 0.332 0.000 0.668
#> 26796E5F-C0C2-466C-9012-882F6D29C149 3 0.3267 0.73662 0.000 0.116 0.884
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 0.5016 0.86332 0.760 0.240 0.000
#> 1492D21A-6458-4B49-B530-7A327FCDD031 3 0.8573 0.45175 0.116 0.328 0.556
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 3 0.3686 0.73190 0.000 0.140 0.860
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 3 0.3752 0.72992 0.000 0.144 0.856
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.7416 0.83286 0.656 0.276 0.068
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 3 0.7175 0.49348 0.032 0.376 0.592
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.0000 0.80220 0.000 1.000 0.000
#> E846120D-D9E6-46F8-9647-2272AB064072 1 0.5244 0.86179 0.756 0.240 0.004
#> 36880C8C-91A9-49A9-A2D5-957161737F31 2 0.0000 0.80220 0.000 1.000 0.000
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.0000 0.80220 0.000 1.000 0.000
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 2 0.1031 0.79266 0.024 0.976 0.000
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 1 0.5016 0.86332 0.760 0.240 0.000
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 3 0.3686 0.73190 0.000 0.140 0.860
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 2 0.0424 0.80086 0.008 0.992 0.000
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 3 0.6075 0.66028 0.316 0.008 0.676
#> 116F3F29-AB89-4F00-9003-559041E285EB 3 0.5473 0.71267 0.140 0.052 0.808
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.1585 0.78820 0.028 0.964 0.008
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 3 0.3742 0.74290 0.036 0.072 0.892
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 3 0.4682 0.71221 0.004 0.192 0.804
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 3 0.3686 0.73190 0.000 0.140 0.860
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 1 0.5497 0.84409 0.708 0.292 0.000
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 2 0.6600 0.33431 0.012 0.604 0.384
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 2 0.8507 0.14862 0.092 0.484 0.424
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.7015 0.87313 0.696 0.240 0.064
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 3 0.5785 0.65526 0.332 0.000 0.668
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.0000 0.80220 0.000 1.000 0.000
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 3 0.5517 0.68128 0.268 0.004 0.728
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 1 0.5244 0.86353 0.756 0.240 0.004
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 3 0.4291 0.71818 0.000 0.180 0.820
#> CD576099-5450-4232-9B59-08341BED8FFA 3 0.3752 0.72992 0.000 0.144 0.856
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 3 0.3816 0.72951 0.000 0.148 0.852
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 1 0.7199 0.85640 0.676 0.260 0.064
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 1 0.7015 0.87313 0.696 0.240 0.064
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 2 0.1878 0.77906 0.004 0.952 0.044
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 3 0.3686 0.73190 0.000 0.140 0.860
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 3 0.5591 0.66865 0.304 0.000 0.696
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 1 0.7015 0.87313 0.696 0.240 0.064
#> 57E380FC-B6AB-466F-9936-D52192888008 2 0.8556 0.31299 0.164 0.604 0.232
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 3 0.3686 0.73190 0.000 0.140 0.860
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 1 0.7015 0.87313 0.696 0.240 0.064
#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 3 0.6794 0.52316 0.028 0.324 0.648
#> 1D4F0B66-720D-484D-B8D5-2B290ED208A8 3 0.4808 0.70374 0.188 0.008 0.804
#> C886CA33-5080-4E3E-88A2-F9A3CF03A857 3 0.7673 0.51769 0.100 0.236 0.664
#> 9AC963E4-F82D-460E-9CAD-C651B879780A 2 0.6442 0.23801 0.004 0.564 0.432
#> 1B6CF403-D0AE-4FFE-A884-660A58F32660 3 0.2636 0.73309 0.048 0.020 0.932
#> B33316E1-11FD-4C10-956A-C9C6F78508C5 1 0.7416 0.83622 0.656 0.276 0.068
#> BB02EF6A-C57D-4A79-99C1-ED43A72FFAF7 2 0.0000 0.80220 0.000 1.000 0.000
#> 4DBA59AD-9393-4BE6-88CB-852C62C4A334 3 0.5621 0.66700 0.308 0.000 0.692
#> 7887EDC4-A0D7-4E57-B3A1-330A5683457D 3 0.3851 0.73209 0.004 0.136 0.860
#> 2CD3AC14-46FB-4260-AE5C-4305C68D49BC 3 0.3686 0.73190 0.000 0.140 0.860
#> BAB8FA79-208A-488D-B955-806263E5D6BB 3 0.3686 0.73190 0.000 0.140 0.860
#> 98C990E7-7E3B-4200-A88D-E641931302EA 1 0.7015 0.87313 0.696 0.240 0.064
#> 894EE382-5ACA-4DEB-9267-99ADBEF6DA19 3 0.3686 0.73190 0.000 0.140 0.860
#> 98795F95-D26D-438A-AF46-B3BC3553F020 3 0.6744 0.65203 0.300 0.032 0.668
#> 9AD4C328-1554-4C92-931C-30CE8F305FDE 1 0.5926 0.78772 0.644 0.356 0.000
#> 4D1518D9-D968-4E7F-A702-5157A1A2E83E 1 0.5982 0.82714 0.668 0.328 0.004
#> A6E8AF8C-5D7B-4197-990B-786A869ACB96 1 0.7015 0.87313 0.696 0.240 0.064
#> DF8B4E19-8C78-4A68-8FAE-DFF01076BC97 2 0.6410 0.58758 0.092 0.764 0.144
#> 8D2C608F-3280-4CA2-B996-9AE3DBDBBD28 3 0.5982 0.65527 0.328 0.004 0.668
#> E7BCBD8D-1219-4A99-948A-47A258A5CD8B 3 0.3686 0.73190 0.000 0.140 0.860
#> 2C9633A5-8ACB-4D16-8120-F098BA14BB04 2 0.0000 0.80220 0.000 1.000 0.000
#> 985D9304-E4DA-4038-B235-067CBFEAC902 2 0.0000 0.80220 0.000 1.000 0.000
#> D34CE243-6F4F-4158-9FC4-77E1640E8A91 2 0.0000 0.80220 0.000 1.000 0.000
#> 65131575-48D3-42C2-B411-3DB871EF5EE1 3 0.3686 0.73190 0.000 0.140 0.860
#> 1AE13DFA-670C-43EE-9898-8FA831AEDDB3 3 0.6526 0.67099 0.260 0.036 0.704
#> 3ACDCD29-1B8D-455D-9EE9-D6C903B16D09 3 0.4128 0.73323 0.012 0.132 0.856
#> C6FBC35B-0113-4F00-BE1A-831D2C551055 3 0.7412 0.63137 0.112 0.192 0.696
#> A8F3285D-A85E-4E73-9D20-9D14AA51916B 3 0.5785 0.65526 0.332 0.000 0.668
#> 51601A73-2D75-4056-AEBB-8FF8DB813450 3 0.5785 0.65526 0.332 0.000 0.668
#> 75021778-A96B-4F57-8C26-68E8F33D7EB7 3 0.3686 0.73190 0.000 0.140 0.860
#> 71FFB439-22A1-4EBB-AEA6-A6BCA8CA6648 3 0.5785 0.65526 0.332 0.000 0.668
#> BEDB0135-0A26-44EF-9028-C4907403B110 3 0.5754 0.67098 0.296 0.004 0.700
#> 3B8BA56B-0E7B-4754-8729-8D613D0484E1 1 0.7015 0.87313 0.696 0.240 0.064
#> 100BF963-6103-45E6-A760-E44649580CF5 3 0.3686 0.73190 0.000 0.140 0.860
#> C26F21EA-5911-483F-BF64-03904BF93A20 3 0.7143 0.46947 0.028 0.396 0.576
#> 9E50162D-8149-41D2-86C1-1C892EB98DFA 3 0.3686 0.73190 0.000 0.140 0.860
#> 09521B29-B002-4AAD-93F1-6E600DD31515 2 0.0237 0.80196 0.004 0.996 0.000
#> 45FD44A6-7976-4453-BD3F-99D21DA3ECC2 1 0.5578 0.85888 0.748 0.240 0.012
#> 9EE0976F-1422-4F65-8837-93A192984CDF 3 0.6897 0.65046 0.292 0.040 0.668
#> 2FBAA1AA-39F7-4C58-A7DA-76B1F4B26B2E 2 0.0000 0.80220 0.000 1.000 0.000
#> B7A695A4-0B74-41E9-8662-4010C8CA38F0 3 0.3686 0.73190 0.000 0.140 0.860
#> E9013476-D037-41EA-921E-E9E62E93B75C 1 0.6108 0.87279 0.732 0.240 0.028
#> 13FD88E9-3B06-4CB6-949F-395DDDE4B75B 3 0.3752 0.72992 0.000 0.144 0.856
#> 9103E60E-D1FC-4F0F-B2CD-751921E14EBA 3 0.5785 0.65526 0.332 0.000 0.668
#> 4AEFB9F1-A55D-472E-A963-5BB3364D9D8C 2 0.0829 0.79907 0.004 0.984 0.012
#> 05B80211-2230-436E-BA34-FD48337A5DE0 2 0.0237 0.80196 0.004 0.996 0.000
#> 6B206166-85BC-4A1A-BDD2-B249652FC09E 1 0.7969 0.23044 0.508 0.060 0.432
#> 3EA60F08-5232-4A97-A656-2A0A2F5CED07 3 0.6255 0.65482 0.320 0.012 0.668
#> 9C55C086-682B-4D21-9C77-085CFE45A07E 3 0.3686 0.73190 0.000 0.140 0.860
#> B0CE5521-96E9-4087-89EE-309D785C0F96 2 0.5507 0.63739 0.056 0.808 0.136
#> 6BF76FE6-F1DA-48F2-B55D-CB106905EA8F 2 0.5760 0.62364 0.064 0.796 0.140
#> D2ECDADA-9D0D-4044-8C61-353CCE45C0E6 2 0.4874 0.66018 0.028 0.828 0.144
#> 9565D04D-EC61-4EF8-8519-0D84CFB0C794 2 0.0000 0.80220 0.000 1.000 0.000
#> EBAFE057-B387-4D2B-8D91-25C83221816D 2 0.3983 0.69334 0.004 0.852 0.144
#> 2CDB897D-ABAF-4EBB-837C-05CC7691D20E 3 0.4591 0.73368 0.032 0.120 0.848
#> FD2F4E8A-F89C-4016-B275-13FC6B4121E9 2 0.6225 0.24341 0.000 0.568 0.432
#> 1E27DDFF-D487-4CBF-80BC-506CC7C7C74D 3 0.3686 0.73190 0.000 0.140 0.860
#> 1DD990EF-74A8-4503-B801-C01D6C171E2E 2 0.0237 0.80196 0.004 0.996 0.000
#> 4D2DF3FF-343A-4D29-9230-015131B45BD2 2 0.2772 0.75266 0.004 0.916 0.080
#> B9949248-D762-4591-B8D6-C296C2B28D8C 2 0.6410 0.58758 0.092 0.764 0.144
#> 2D839843-4C8D-400D-8EFF-2BF9B94A27AA 3 0.2063 0.73899 0.008 0.044 0.948
#> 78C429CC-D631-43EA-9049-DAC326C98BDD 2 0.5508 0.60288 0.028 0.784 0.188
#> 71241674-DF93-4CA0-A81D-AF85B6479F62 3 0.3686 0.73190 0.000 0.140 0.860
#> 76277FC9-E447-49A4-9407-81917C90ECBD 3 0.3686 0.73190 0.000 0.140 0.860
#> 79DE0216-2CBB-4057-AC90-0366A494F106 1 0.7363 0.83396 0.656 0.280 0.064
#> 3B842084-AE30-4666-B80A-8FA36EF628F3 3 0.7514 0.54564 0.056 0.328 0.616
#> 57200367-96F1-48B9-AB7F-DC11EFE866C4 3 0.1964 0.73847 0.000 0.056 0.944
#> 219B7654-6065-41D3-964B-C829364CD87B 3 0.7558 0.62866 0.284 0.072 0.644
#> 26923D9B-CE8E-400E-93CD-E0EE1401CB9D 3 0.3752 0.72992 0.000 0.144 0.856
#> 21B783EB-B0D0-4B28-9468-D0B130D13E26 3 0.0000 0.72947 0.000 0.000 1.000
#> 67D465A4-8068-4325-ABC5-5917B7D726BB 2 0.0000 0.80220 0.000 1.000 0.000
#> 30A8ABA0-ECB4-4B44-9630-5FFF862A157F 2 0.0000 0.80220 0.000 1.000 0.000
#> 71040F61-834D-4A75-960D-5DABBCADD3A0 1 0.6546 0.87450 0.716 0.240 0.044
#> A4EC5E62-AF75-435A-903F-D35B171CEA2C 2 0.0000 0.80220 0.000 1.000 0.000
#> 2F6A0808-8F01-4721-938D-F1FC7C5D8357 3 0.3213 0.72511 0.092 0.008 0.900
#> F1A142BF-9737-442D-B9A1-AA03958916D8 3 0.7810 0.47297 0.092 0.268 0.640
#> 2DC1CF96-6822-412A-B002-3DC1239D17A7 3 0.6562 0.66925 0.264 0.036 0.700
#> 9C57AC2A-83C8-41EB-8DC3-9A897D8F8110 2 0.0424 0.80086 0.008 0.992 0.000
#> D22198BE-2B03-4A06-9EB6-696B67E8CEFB 3 0.5785 0.65526 0.332 0.000 0.668
#> 68BACBAD-DC56-4ADF-BB44-86750A866657 1 0.5591 0.83512 0.696 0.304 0.000
#> 7DFBA494-6746-4FF7-9948-FC9BA297F499 2 0.0000 0.80220 0.000 1.000 0.000
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#> 1B9ABB69-5CC6-4B6B-ABBC-71CC3274C7F0 3 0.8924 0.31647 0.268 0.172 0.560
#> FAE396AA-3C3C-4AF9-953D-385C41B2DB5B 3 0.3686 0.73190 0.000 0.140 0.860
#> 6BE4397D-1E5B-4486-83B4-EE0EC146C805 2 0.0237 0.80196 0.004 0.996 0.000
#> EE38BD4E-5A08-4639-912F-04203F53762F 1 0.7509 0.80762 0.636 0.300 0.064
#> 4050E7F8-80B6-46F2-8FF0-D4EC313E975B 3 0.6107 0.62501 0.052 0.184 0.764
#> F3565161-FFBE-4138-9773-558DB386710C 1 0.7015 0.87313 0.696 0.240 0.064
#> BA9ABEB1-D3F0-4F09-A647-25211C47C3D0 2 0.0000 0.80220 0.000 1.000 0.000
#> 9E41E79A-4028-4F60-8250-411F191B665C 1 0.5785 0.84003 0.696 0.300 0.004
#> 5F1D3EFD-ECDA-4C92-8D81-491484F09C95 3 0.6082 0.66583 0.296 0.012 0.692
#> 0DBA04CB-417D-4E2B-BE83-3563F45291C4 2 0.6904 0.32724 0.268 0.684 0.048
#> B9B882A5-194B-4F5C-B702-0CF71CA6D9D2 3 0.4399 0.70779 0.000 0.188 0.812
#> 67FE7638-B8F5-4631-B178-AC23B0382983 1 0.7015 0.87313 0.696 0.240 0.064
#> FE03FC2C-9A4E-4F89-8681-E33DFECCC692 2 0.1711 0.78565 0.032 0.960 0.008
#> 2B22B4B7-8A39-435C-BE3B-86FA84C8F941 3 0.7319 0.64033 0.128 0.164 0.708
#> 00844B35-C108-4AEC-A687-4A91A2F33E6D 1 0.7015 0.87313 0.696 0.240 0.064
#> C221EE7A-6343-4B6D-B322-0A2C0F0B29AF 1 0.7015 0.87313 0.696 0.240 0.064
#> B28A6D56-7654-4829-BF1F-657C3C2C10D8 1 0.5420 0.86713 0.752 0.240 0.008
#> F4C7BCEC-3CD4-4D9A-89EA-0ED58EA0DCFE 1 0.8103 0.79143 0.632 0.248 0.120
#> F06FBFAB-D143-47AE-BEE7-51B48164764F 1 0.5244 0.86179 0.756 0.240 0.004
#> 525F522B-E865-4479-AE65-510903ABF46F 3 0.9356 0.14780 0.172 0.368 0.460
#> F0CB60E3-C412-46A2-918F-8C5C099AB224 3 0.3686 0.73190 0.000 0.140 0.860
#> 587F307F-6E1B-487E-8E47-A99AB43DC5B4 3 0.5785 0.65526 0.332 0.000 0.668
#> 883D9145-8414-4571-A3E1-516F03452C46 3 0.7442 0.49147 0.044 0.368 0.588
#> 4A917271-7EA0-4F43-B474-7F5EA756EB05 1 0.5591 0.83512 0.696 0.304 0.000
#> BB33015D-218C-4A1E-8839-95837D6E9B88 3 0.7032 0.51395 0.028 0.368 0.604
#> 021CC81F-710D-4EEA-B1D8-012A81715ACC 3 0.4995 0.72079 0.092 0.068 0.840
#> B00C4925-47E3-4442-ABEB-82D714A26587 3 0.3686 0.73190 0.000 0.140 0.860
#> F79B27D3-0426-47BB-9756-7E0759246E5E 2 0.4609 0.66754 0.028 0.844 0.128
#> 1F179559-D93E-491C-B499-64F86C31DAE0 3 0.5365 0.68527 0.252 0.004 0.744
#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 3 0.1163 0.73126 0.028 0.000 0.972
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 1 0.5244 0.86179 0.756 0.240 0.004
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 1 0.8504 0.65770 0.612 0.216 0.172
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 2 0.0237 0.80196 0.004 0.996 0.000
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 3 0.5588 0.64374 0.004 0.276 0.720
#> ED9794C0-AC60-4B54-8214-D26714871BBF 1 0.5016 0.86332 0.760 0.240 0.000
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 3 0.3816 0.72951 0.000 0.148 0.852
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 2 0.0000 0.80220 0.000 1.000 0.000
#> 18D816AF-394A-482F-B22E-896A43B1E481 2 0.0000 0.80220 0.000 1.000 0.000
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 3 0.3686 0.73190 0.000 0.140 0.860
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 3 0.5785 0.65526 0.332 0.000 0.668
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 2 0.6307 0.45629 0.012 0.660 0.328
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 3 0.5785 0.65526 0.332 0.000 0.668
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 3 0.3686 0.73190 0.000 0.140 0.860
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 3 0.5285 0.64740 0.004 0.244 0.752
#> 7E809698-2473-4EFE-B896-1637983EC596 3 0.5012 0.70273 0.008 0.204 0.788
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 3 0.5785 0.65526 0.332 0.000 0.668
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 3 0.5785 0.65526 0.332 0.000 0.668
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 2 0.3459 0.72371 0.012 0.892 0.096
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.6108 0.87279 0.732 0.240 0.028
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.7015 0.87313 0.696 0.240 0.064
#> 73F28A79-7D35-4FE9-849D-FFE681483928 3 0.4099 0.73310 0.008 0.140 0.852
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 3 0.9925 -0.20540 0.336 0.280 0.384
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 3 0.5621 0.66700 0.308 0.000 0.692
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 1 0.5244 0.86179 0.756 0.240 0.004
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.2860 0.73076 0.004 0.912 0.084
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.7015 0.87313 0.696 0.240 0.064
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 3 0.3686 0.73190 0.000 0.140 0.860
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 1 0.7015 0.87313 0.696 0.240 0.064
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 3 0.8375 0.49329 0.132 0.260 0.608
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.5785 0.65526 0.332 0.000 0.668
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.6441 0.86137 0.696 0.276 0.028
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.0000 0.80220 0.000 1.000 0.000
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 3 0.3686 0.73190 0.000 0.140 0.860
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.0424 0.80083 0.008 0.992 0.000
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 3 0.6111 0.27491 0.000 0.396 0.604
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 3 0.3752 0.72992 0.000 0.144 0.856
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 3 0.7032 0.51562 0.028 0.368 0.604
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 3 0.3752 0.72992 0.000 0.144 0.856
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.7015 0.87313 0.696 0.240 0.064
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.5785 0.65526 0.332 0.000 0.668
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.5016 0.86332 0.760 0.240 0.000
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.5591 0.83512 0.696 0.304 0.000
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.5016 0.86332 0.760 0.240 0.000
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.0000 0.80220 0.000 1.000 0.000
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 3 0.3802 0.74307 0.032 0.080 0.888
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.8950 0.64111 0.568 0.212 0.220
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 3 0.7083 0.49538 0.028 0.380 0.592
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.7015 0.87313 0.696 0.240 0.064
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 3 0.3686 0.73190 0.000 0.140 0.860
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 3 0.3752 0.72992 0.000 0.144 0.856
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 3 0.3752 0.72992 0.000 0.144 0.856
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 3 0.3686 0.73190 0.000 0.140 0.860
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 3 0.5621 0.66700 0.308 0.000 0.692
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 3 0.0237 0.72956 0.004 0.000 0.996
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.5016 0.86332 0.760 0.240 0.000
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.5244 0.86179 0.756 0.240 0.004
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 3 0.3412 0.73526 0.000 0.124 0.876
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.4677 0.66713 0.028 0.840 0.132
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.0424 0.80083 0.008 0.992 0.000
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 3 0.2173 0.73149 0.048 0.008 0.944
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.6897 0.65046 0.292 0.040 0.668
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.0000 0.80220 0.000 1.000 0.000
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 3 0.3752 0.72992 0.000 0.144 0.856
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 3 0.3686 0.73190 0.000 0.140 0.860
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 2 0.8327 0.34392 0.096 0.564 0.340
#> CA356591-D24F-41A8-8C9A-1178C7781510 3 0.3009 0.73308 0.028 0.052 0.920
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.5785 0.65526 0.332 0.000 0.668
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.7015 0.87313 0.696 0.240 0.064
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 4 0.3610 0.77524 0.000 0.000 0.200 0.800
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.4855 0.31818 0.000 0.400 0.600 0.000
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 4 0.3610 0.77524 0.000 0.000 0.200 0.800
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.0188 0.90914 0.000 0.996 0.000 0.004
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 4 0.3610 0.77524 0.000 0.000 0.200 0.800
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 1 0.5016 0.30026 0.600 0.396 0.004 0.000
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 4 0.3942 0.76178 0.000 0.000 0.236 0.764
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 4 0.3610 0.77524 0.000 0.000 0.200 0.800
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.0188 0.90914 0.000 0.996 0.000 0.004
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.0188 0.90914 0.000 0.996 0.000 0.004
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.2382 0.84037 0.080 0.912 0.004 0.004
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.3610 0.75972 0.000 0.000 0.800 0.200
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.1489 0.87827 0.952 0.004 0.044 0.000
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.0188 0.90914 0.000 0.996 0.000 0.004
#> ECB2DF14-CF68-44D4-8719-973AE448B992 4 0.2197 0.76436 0.080 0.000 0.004 0.916
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 4 0.3933 0.77256 0.000 0.008 0.200 0.792
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 3 0.3610 0.75972 0.000 0.000 0.800 0.200
#> 3282F146-2782-4877-9EFE-6020AC277A8C 4 0.3610 0.77524 0.000 0.000 0.200 0.800
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 4 0.1389 0.80357 0.000 0.000 0.048 0.952
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 4 0.5901 0.66137 0.084 0.220 0.004 0.692
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.0188 0.90914 0.000 0.996 0.000 0.004
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 4 0.1824 0.77681 0.060 0.000 0.004 0.936
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.0188 0.90914 0.000 0.996 0.000 0.004
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 1 0.0992 0.90157 0.976 0.004 0.008 0.012
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 4 0.1389 0.78034 0.000 0.000 0.048 0.952
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 4 0.0000 0.79549 0.000 0.000 0.000 1.000
#> C945DDA9-0194-46F4-89E2-13883284D5A4 4 0.4981 0.41514 0.000 0.000 0.464 0.536
#> 79B11925-9772-474F-A729-D00315959710 1 0.0000 0.90703 1.000 0.000 0.000 0.000
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 4 0.3873 0.68245 0.000 0.228 0.000 0.772
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 1 0.0376 0.90617 0.992 0.004 0.004 0.000
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 4 0.1557 0.78301 0.000 0.000 0.056 0.944
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.0188 0.90678 0.996 0.000 0.000 0.004
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 4 0.4907 0.38681 0.000 0.420 0.000 0.580
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 1 0.1489 0.87864 0.952 0.004 0.044 0.000
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.3610 0.75972 0.000 0.000 0.800 0.200
#> 26796E5F-C0C2-466C-9012-882F6D29C149 4 0.3610 0.77524 0.000 0.000 0.200 0.800
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 0.0376 0.90617 0.992 0.004 0.004 0.000
#> 1492D21A-6458-4B49-B530-7A327FCDD031 4 0.4072 0.58008 0.252 0.000 0.000 0.748
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 4 0.0188 0.79663 0.000 0.000 0.004 0.996
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 4 0.3486 0.78041 0.000 0.000 0.188 0.812
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.2408 0.84559 0.896 0.000 0.000 0.104
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 4 0.3032 0.72968 0.124 0.000 0.008 0.868
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.0188 0.90914 0.000 0.996 0.000 0.004
#> E846120D-D9E6-46F8-9647-2272AB064072 1 0.0376 0.90617 0.992 0.004 0.004 0.000
#> 36880C8C-91A9-49A9-A2D5-957161737F31 2 0.0188 0.90914 0.000 0.996 0.000 0.004
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.0188 0.90914 0.000 0.996 0.000 0.004
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 2 0.3636 0.72479 0.008 0.820 0.000 0.172
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 1 0.0376 0.90617 0.992 0.004 0.004 0.000
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 4 0.0707 0.79276 0.020 0.000 0.000 0.980
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 2 0.0188 0.90914 0.000 0.996 0.000 0.004
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 3 0.0000 0.77922 0.000 0.000 1.000 0.000
#> 116F3F29-AB89-4F00-9003-559041E285EB 4 0.4406 0.70789 0.000 0.000 0.300 0.700
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.0712 0.90248 0.008 0.984 0.004 0.004
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 4 0.2342 0.75610 0.008 0.000 0.080 0.912
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 4 0.3610 0.77524 0.000 0.000 0.200 0.800
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 4 0.0000 0.79549 0.000 0.000 0.000 1.000
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 1 0.0188 0.90665 0.996 0.000 0.004 0.000
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 4 0.3837 0.68830 0.000 0.224 0.000 0.776
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 3 0.7537 0.31103 0.000 0.196 0.456 0.348
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.0000 0.90703 1.000 0.000 0.000 0.000
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 3 0.3610 0.75972 0.000 0.000 0.800 0.200
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.0188 0.90914 0.000 0.996 0.000 0.004
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 4 0.4955 -0.15975 0.000 0.000 0.444 0.556
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 1 0.3973 0.76135 0.792 0.004 0.004 0.200
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 4 0.3751 0.77587 0.000 0.004 0.196 0.800
#> CD576099-5450-4232-9B59-08341BED8FFA 4 0.1211 0.80286 0.000 0.000 0.040 0.960
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 4 0.3610 0.77524 0.000 0.000 0.200 0.800
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 1 0.0188 0.90678 0.996 0.000 0.000 0.004
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#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 4 0.4012 0.71997 0.000 0.184 0.016 0.800
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 4 0.3610 0.77524 0.000 0.000 0.200 0.800
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 4 0.1389 0.80376 0.000 0.000 0.048 0.952
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 4 0.3610 0.77524 0.000 0.000 0.200 0.800
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.0000 0.90703 1.000 0.000 0.000 0.000
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.3610 0.75972 0.000 0.000 0.800 0.200
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.0376 0.90617 0.992 0.004 0.004 0.000
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.0000 0.90703 1.000 0.000 0.000 0.000
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.0376 0.90617 0.992 0.004 0.004 0.000
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.0188 0.90914 0.000 0.996 0.000 0.004
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 4 0.2216 0.74872 0.000 0.000 0.092 0.908
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.3610 0.76532 0.800 0.000 0.000 0.200
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 4 0.1211 0.78715 0.040 0.000 0.000 0.960
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.0000 0.90703 1.000 0.000 0.000 0.000
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 4 0.3400 0.78306 0.000 0.000 0.180 0.820
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 4 0.3610 0.77524 0.000 0.000 0.200 0.800
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 4 0.0000 0.79549 0.000 0.000 0.000 1.000
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 4 0.3610 0.77524 0.000 0.000 0.200 0.800
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 3 0.1302 0.76647 0.000 0.000 0.956 0.044
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 4 0.4277 0.72937 0.000 0.000 0.280 0.720
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.0376 0.90617 0.992 0.004 0.004 0.000
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.0376 0.90617 0.992 0.004 0.004 0.000
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 4 0.0817 0.79077 0.000 0.000 0.024 0.976
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.2266 0.83353 0.000 0.912 0.084 0.004
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.0188 0.90914 0.000 0.996 0.000 0.004
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 4 0.4193 0.73989 0.000 0.000 0.268 0.732
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.3528 0.63581 0.000 0.000 0.808 0.192
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.0188 0.90914 0.000 0.996 0.000 0.004
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 4 0.3610 0.77524 0.000 0.000 0.200 0.800
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 4 0.3610 0.77524 0.000 0.000 0.200 0.800
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.3610 0.62869 0.000 0.200 0.800 0.000
#> CA356591-D24F-41A8-8C9A-1178C7781510 4 0.4008 0.75715 0.000 0.000 0.244 0.756
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.3610 0.75972 0.000 0.000 0.800 0.200
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.0188 0.90678 0.996 0.000 0.000 0.004
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 4 0.3983 0.57548 0.000 0.000 0.340 0.660 0.000
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.5766 0.60727 0.000 0.212 0.660 0.024 0.104
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 4 0.3074 0.68541 0.000 0.000 0.196 0.804 0.000
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.0000 0.88081 0.000 1.000 0.000 0.000 0.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 4 0.4045 0.55438 0.000 0.000 0.356 0.644 0.000
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 1 0.3966 0.46776 0.664 0.336 0.000 0.000 0.000
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 4 0.4446 0.31062 0.000 0.000 0.476 0.520 0.004
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 4 0.2179 0.71595 0.000 0.000 0.112 0.888 0.000
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.0000 0.88081 0.000 1.000 0.000 0.000 0.000
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.0000 0.88081 0.000 1.000 0.000 0.000 0.000
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.4151 0.42319 0.344 0.652 0.000 0.004 0.000
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.3196 0.71251 0.000 0.000 0.804 0.004 0.192
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.3086 0.80163 0.816 0.000 0.000 0.004 0.180
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.0162 0.87930 0.000 0.996 0.000 0.004 0.000
#> ECB2DF14-CF68-44D4-8719-973AE448B992 5 0.4871 0.76842 0.084 0.000 0.000 0.212 0.704
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 4 0.1568 0.72202 0.000 0.020 0.036 0.944 0.000
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 3 0.3109 0.71170 0.000 0.000 0.800 0.000 0.200
#> 3282F146-2782-4877-9EFE-6020AC277A8C 4 0.2966 0.69164 0.000 0.000 0.184 0.816 0.000
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 4 0.3282 0.50590 0.000 0.000 0.008 0.804 0.188
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 2 0.7389 0.13274 0.172 0.416 0.052 0.360 0.000
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.1792 0.84764 0.000 0.916 0.000 0.000 0.084
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 5 0.7178 0.63625 0.092 0.000 0.124 0.244 0.540
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.0000 0.88081 0.000 1.000 0.000 0.000 0.000
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 1 0.3177 0.79639 0.792 0.000 0.000 0.000 0.208
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 3 0.6323 0.34740 0.000 0.000 0.516 0.292 0.192
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 4 0.3305 0.48491 0.000 0.000 0.000 0.776 0.224
#> C945DDA9-0194-46F4-89E2-13883284D5A4 3 0.3635 0.46515 0.000 0.000 0.748 0.248 0.004
#> 79B11925-9772-474F-A729-D00315959710 1 0.0000 0.84633 1.000 0.000 0.000 0.000 0.000
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 4 0.1671 0.68325 0.000 0.076 0.000 0.924 0.000
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 1 0.2929 0.80240 0.820 0.000 0.000 0.000 0.180
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 3 0.6788 -0.04566 0.000 0.000 0.384 0.296 0.320
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.0000 0.84633 1.000 0.000 0.000 0.000 0.000
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.3913 0.55422 0.000 0.676 0.000 0.324 0.000
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 1 0.2929 0.80240 0.820 0.000 0.000 0.000 0.180
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.3196 0.71251 0.000 0.000 0.804 0.004 0.192
#> 26796E5F-C0C2-466C-9012-882F6D29C149 4 0.2280 0.71571 0.000 0.000 0.120 0.880 0.000
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 0.2929 0.80240 0.820 0.000 0.000 0.000 0.180
#> 1492D21A-6458-4B49-B530-7A327FCDD031 5 0.4475 0.59692 0.276 0.000 0.000 0.032 0.692
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 5 0.4291 0.45004 0.000 0.000 0.000 0.464 0.536
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 4 0.0865 0.72045 0.000 0.000 0.024 0.972 0.004
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.2648 0.75276 0.848 0.000 0.000 0.000 0.152
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 5 0.8173 0.35811 0.132 0.000 0.272 0.208 0.388
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.0000 0.88081 0.000 1.000 0.000 0.000 0.000
#> E846120D-D9E6-46F8-9647-2272AB064072 1 0.2929 0.80240 0.820 0.000 0.000 0.000 0.180
#> 36880C8C-91A9-49A9-A2D5-957161737F31 2 0.0290 0.87702 0.000 0.992 0.000 0.008 0.000
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.0000 0.88081 0.000 1.000 0.000 0.000 0.000
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 2 0.1282 0.85646 0.044 0.952 0.000 0.004 0.000
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 1 0.2929 0.80240 0.820 0.000 0.000 0.000 0.180
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 5 0.3752 0.75097 0.000 0.000 0.000 0.292 0.708
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 2 0.1197 0.85370 0.048 0.952 0.000 0.000 0.000
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 3 0.0162 0.72846 0.000 0.000 0.996 0.004 0.000
#> 116F3F29-AB89-4F00-9003-559041E285EB 3 0.4046 0.37564 0.000 0.000 0.696 0.296 0.008
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.2694 0.82504 0.076 0.888 0.000 0.004 0.032
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 3 0.7647 0.19124 0.076 0.000 0.456 0.208 0.260
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 4 0.0963 0.72170 0.000 0.000 0.036 0.964 0.000
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 4 0.4268 -0.18548 0.000 0.000 0.000 0.556 0.444
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 1 0.0579 0.84594 0.984 0.000 0.000 0.008 0.008
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 4 0.0963 0.70716 0.000 0.036 0.000 0.964 0.000
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 3 0.5654 0.66062 0.004 0.016 0.680 0.188 0.112
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.0000 0.84633 1.000 0.000 0.000 0.000 0.000
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 3 0.3196 0.71251 0.000 0.000 0.804 0.004 0.192
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.0000 0.88081 0.000 1.000 0.000 0.000 0.000
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 3 0.4429 0.68284 0.000 0.000 0.744 0.064 0.192
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 1 0.4225 0.64360 0.632 0.000 0.000 0.004 0.364
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 4 0.0510 0.71745 0.000 0.000 0.016 0.984 0.000
#> CD576099-5450-4232-9B59-08341BED8FFA 4 0.1831 0.67165 0.000 0.000 0.004 0.920 0.076
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 4 0.0566 0.71707 0.000 0.004 0.012 0.984 0.000
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 1 0.0000 0.84633 1.000 0.000 0.000 0.000 0.000
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 1 0.0000 0.84633 1.000 0.000 0.000 0.000 0.000
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 2 0.3932 0.56196 0.000 0.672 0.000 0.328 0.000
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 4 0.3074 0.68541 0.000 0.000 0.196 0.804 0.000
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 3 0.0162 0.72846 0.000 0.000 0.996 0.004 0.000
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 1 0.0000 0.84633 1.000 0.000 0.000 0.000 0.000
#> 57E380FC-B6AB-466F-9936-D52192888008 1 0.5264 0.59686 0.700 0.100 0.000 0.012 0.188
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 4 0.3913 0.58920 0.000 0.000 0.324 0.676 0.000
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 1 0.0000 0.84633 1.000 0.000 0.000 0.000 0.000
#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 4 0.3556 0.59497 0.000 0.020 0.168 0.808 0.004
#> 1D4F0B66-720D-484D-B8D5-2B290ED208A8 3 0.2753 0.64750 0.000 0.000 0.856 0.136 0.008
#> C886CA33-5080-4E3E-88A2-F9A3CF03A857 3 0.3387 0.71033 0.004 0.000 0.796 0.004 0.196
#> 9AC963E4-F82D-460E-9CAD-C651B879780A 4 0.0703 0.71150 0.000 0.024 0.000 0.976 0.000
#> 1B6CF403-D0AE-4FFE-A884-660A58F32660 3 0.3752 0.38529 0.000 0.000 0.708 0.292 0.000
#> B33316E1-11FD-4C10-956A-C9C6F78508C5 1 0.3231 0.67808 0.800 0.000 0.000 0.004 0.196
#> BB02EF6A-C57D-4A79-99C1-ED43A72FFAF7 2 0.2020 0.81625 0.000 0.900 0.000 0.100 0.000
#> 4DBA59AD-9393-4BE6-88CB-852C62C4A334 3 0.0162 0.72846 0.000 0.000 0.996 0.004 0.000
#> 7887EDC4-A0D7-4E57-B3A1-330A5683457D 5 0.4326 0.77061 0.028 0.000 0.000 0.264 0.708
#> 2CD3AC14-46FB-4260-AE5C-4305C68D49BC 4 0.0613 0.71416 0.000 0.004 0.008 0.984 0.004
#> BAB8FA79-208A-488D-B955-806263E5D6BB 4 0.3074 0.68541 0.000 0.000 0.196 0.804 0.000
#> 98C990E7-7E3B-4200-A88D-E641931302EA 1 0.0000 0.84633 1.000 0.000 0.000 0.000 0.000
#> 894EE382-5ACA-4DEB-9267-99ADBEF6DA19 4 0.0609 0.71868 0.000 0.000 0.020 0.980 0.000
#> 98795F95-D26D-438A-AF46-B3BC3553F020 3 0.3123 0.71676 0.000 0.000 0.812 0.004 0.184
#> 9AD4C328-1554-4C92-931C-30CE8F305FDE 1 0.0579 0.84594 0.984 0.000 0.000 0.008 0.008
#> 4D1518D9-D968-4E7F-A702-5157A1A2E83E 1 0.0162 0.84589 0.996 0.000 0.000 0.004 0.000
#> A6E8AF8C-5D7B-4197-990B-786A869ACB96 1 0.0000 0.84633 1.000 0.000 0.000 0.000 0.000
#> DF8B4E19-8C78-4A68-8FAE-DFF01076BC97 3 0.5883 0.32208 0.000 0.368 0.524 0.000 0.108
#> 8D2C608F-3280-4CA2-B996-9AE3DBDBBD28 3 0.3888 0.72183 0.000 0.000 0.796 0.148 0.056
#> E7BCBD8D-1219-4A99-948A-47A258A5CD8B 4 0.2773 0.70023 0.000 0.000 0.164 0.836 0.000
#> 2C9633A5-8ACB-4D16-8120-F098BA14BB04 2 0.0000 0.88081 0.000 1.000 0.000 0.000 0.000
#> 985D9304-E4DA-4038-B235-067CBFEAC902 2 0.0000 0.88081 0.000 1.000 0.000 0.000 0.000
#> D34CE243-6F4F-4158-9FC4-77E1640E8A91 2 0.0000 0.88081 0.000 1.000 0.000 0.000 0.000
#> 65131575-48D3-42C2-B411-3DB871EF5EE1 4 0.3809 0.39894 0.000 0.000 0.008 0.736 0.256
#> 1AE13DFA-670C-43EE-9898-8FA831AEDDB3 3 0.1399 0.72254 0.000 0.000 0.952 0.020 0.028
#> 3ACDCD29-1B8D-455D-9EE9-D6C903B16D09 5 0.4612 0.77513 0.056 0.000 0.000 0.232 0.712
#> C6FBC35B-0113-4F00-BE1A-831D2C551055 5 0.4793 0.68576 0.216 0.000 0.000 0.076 0.708
#> A8F3285D-A85E-4E73-9D20-9D14AA51916B 3 0.0162 0.72846 0.000 0.000 0.996 0.004 0.000
#> 51601A73-2D75-4056-AEBB-8FF8DB813450 3 0.0162 0.72846 0.000 0.000 0.996 0.004 0.000
#> 75021778-A96B-4F57-8C26-68E8F33D7EB7 4 0.3861 0.33791 0.000 0.000 0.004 0.712 0.284
#> 71FFB439-22A1-4EBB-AEA6-A6BCA8CA6648 3 0.3086 0.71892 0.000 0.000 0.816 0.004 0.180
#> BEDB0135-0A26-44EF-9028-C4907403B110 3 0.3196 0.71251 0.000 0.000 0.804 0.004 0.192
#> 3B8BA56B-0E7B-4754-8729-8D613D0484E1 1 0.0000 0.84633 1.000 0.000 0.000 0.000 0.000
#> 100BF963-6103-45E6-A760-E44649580CF5 4 0.3681 0.67677 0.000 0.000 0.148 0.808 0.044
#> C26F21EA-5911-483F-BF64-03904BF93A20 4 0.6162 0.02014 0.000 0.444 0.076 0.460 0.020
#> 9E50162D-8149-41D2-86C1-1C892EB98DFA 4 0.4288 0.23422 0.000 0.000 0.012 0.664 0.324
#> 09521B29-B002-4AAD-93F1-6E600DD31515 2 0.0451 0.87738 0.000 0.988 0.000 0.004 0.008
#> 45FD44A6-7976-4453-BD3F-99D21DA3ECC2 1 0.3949 0.69827 0.668 0.000 0.000 0.000 0.332
#> 9EE0976F-1422-4F65-8837-93A192984CDF 3 0.0000 0.72919 0.000 0.000 1.000 0.000 0.000
#> 2FBAA1AA-39F7-4C58-A7DA-76B1F4B26B2E 2 0.0000 0.88081 0.000 1.000 0.000 0.000 0.000
#> B7A695A4-0B74-41E9-8662-4010C8CA38F0 5 0.3906 0.74922 0.000 0.000 0.004 0.292 0.704
#> E9013476-D037-41EA-921E-E9E62E93B75C 1 0.0404 0.84409 0.988 0.000 0.000 0.000 0.012
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#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.3196 0.71251 0.000 0.000 0.804 0.004 0.192
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.0000 0.84633 1.000 0.000 0.000 0.000 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 4 0.5991 0.58589 0.000 0.000 0.260 0.480 0.256 0.004
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 6 0.7645 0.70966 0.000 0.216 0.268 0.200 0.000 0.316
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 4 0.5586 0.63116 0.000 0.000 0.196 0.544 0.260 0.000
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.0291 0.85831 0.000 0.992 0.000 0.004 0.000 0.004
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 4 0.5870 0.58794 0.000 0.000 0.244 0.480 0.276 0.000
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 1 0.5695 0.24512 0.488 0.412 0.000 0.004 0.068 0.028
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 4 0.5951 0.62927 0.000 0.000 0.204 0.524 0.260 0.012
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 4 0.4749 0.67705 0.000 0.000 0.092 0.648 0.260 0.000
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.0146 0.85676 0.000 0.996 0.000 0.000 0.000 0.004
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.0363 0.85416 0.000 0.988 0.000 0.000 0.000 0.012
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.4165 0.33319 0.308 0.664 0.000 0.004 0.000 0.024
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.3552 0.71110 0.000 0.000 0.800 0.000 0.116 0.084
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.3717 0.65699 0.616 0.000 0.000 0.000 0.000 0.384
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.0508 0.85340 0.000 0.984 0.000 0.004 0.000 0.012
#> ECB2DF14-CF68-44D4-8719-973AE448B992 5 0.1829 0.66009 0.024 0.000 0.000 0.000 0.920 0.056
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 4 0.4150 0.68910 0.000 0.004 0.024 0.708 0.256 0.008
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 3 0.3319 0.68268 0.000 0.000 0.800 0.000 0.164 0.036
#> 3282F146-2782-4877-9EFE-6020AC277A8C 4 0.5622 0.64059 0.000 0.000 0.180 0.556 0.260 0.004
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 4 0.5020 0.49791 0.000 0.000 0.000 0.548 0.372 0.080
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 5 0.8297 0.21941 0.256 0.112 0.004 0.128 0.392 0.108
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.3163 0.52998 0.000 0.764 0.000 0.004 0.000 0.232
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 5 0.3025 0.64773 0.092 0.000 0.004 0.008 0.856 0.040
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.0146 0.85814 0.000 0.996 0.000 0.000 0.000 0.004
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 1 0.4808 0.64820 0.536 0.000 0.000 0.000 0.056 0.408
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 5 0.6305 0.32109 0.000 0.000 0.244 0.112 0.556 0.088
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 4 0.4562 0.53739 0.000 0.000 0.004 0.576 0.388 0.032
#> C945DDA9-0194-46F4-89E2-13883284D5A4 3 0.6253 0.18292 0.000 0.000 0.540 0.104 0.280 0.076
#> 79B11925-9772-474F-A729-D00315959710 1 0.0000 0.73632 1.000 0.000 0.000 0.000 0.000 0.000
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 4 0.3852 0.68297 0.000 0.008 0.000 0.720 0.256 0.016
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 1 0.3706 0.65770 0.620 0.000 0.000 0.000 0.000 0.380
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 5 0.4177 0.58306 0.000 0.000 0.096 0.032 0.780 0.092
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.3312 0.67010 0.792 0.000 0.000 0.000 0.180 0.028
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 4 0.6220 0.23280 0.000 0.360 0.000 0.484 0.092 0.064
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 1 0.3881 0.65786 0.600 0.000 0.000 0.000 0.004 0.396
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.3508 0.70963 0.000 0.000 0.800 0.000 0.132 0.068
#> 26796E5F-C0C2-466C-9012-882F6D29C149 4 0.4659 0.67891 0.000 0.000 0.084 0.656 0.260 0.000
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 0.3706 0.65770 0.620 0.000 0.000 0.000 0.000 0.380
#> 1492D21A-6458-4B49-B530-7A327FCDD031 5 0.3874 0.43699 0.228 0.000 0.000 0.000 0.732 0.040
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 5 0.4210 0.25615 0.000 0.000 0.000 0.288 0.672 0.040
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 4 0.3834 0.68519 0.000 0.000 0.024 0.708 0.268 0.000
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.4066 0.55799 0.692 0.000 0.000 0.000 0.272 0.036
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 5 0.4077 0.57254 0.180 0.000 0.008 0.000 0.752 0.060
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.0291 0.85831 0.000 0.992 0.000 0.004 0.000 0.004
#> E846120D-D9E6-46F8-9647-2272AB064072 1 0.3706 0.65770 0.620 0.000 0.000 0.000 0.000 0.380
#> 36880C8C-91A9-49A9-A2D5-957161737F31 2 0.0603 0.85430 0.000 0.980 0.000 0.004 0.000 0.016
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.0291 0.85831 0.000 0.992 0.000 0.004 0.000 0.004
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 2 0.1370 0.82033 0.036 0.948 0.000 0.000 0.004 0.012
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 1 0.3727 0.65817 0.612 0.000 0.000 0.000 0.000 0.388
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 5 0.0937 0.66364 0.000 0.000 0.000 0.000 0.960 0.040
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 2 0.1296 0.82383 0.032 0.952 0.000 0.004 0.000 0.012
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 3 0.0000 0.69822 0.000 0.000 1.000 0.000 0.000 0.000
#> 116F3F29-AB89-4F00-9003-559041E285EB 4 0.6795 0.47573 0.000 0.000 0.336 0.372 0.248 0.044
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.4730 0.44017 0.064 0.704 0.000 0.028 0.000 0.204
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 5 0.4735 0.35872 0.000 0.000 0.296 0.000 0.628 0.076
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 4 0.4029 0.68847 0.000 0.000 0.020 0.712 0.256 0.012
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 5 0.4680 0.27094 0.000 0.000 0.000 0.264 0.652 0.084
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 1 0.2378 0.73219 0.848 0.000 0.000 0.000 0.000 0.152
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 4 0.3956 0.68267 0.000 0.000 0.000 0.712 0.252 0.036
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 4 0.6944 -0.59012 0.024 0.004 0.196 0.392 0.020 0.364
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.0000 0.73632 1.000 0.000 0.000 0.000 0.000 0.000
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 3 0.3552 0.71110 0.000 0.000 0.800 0.000 0.116 0.084
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.0291 0.85831 0.000 0.992 0.000 0.004 0.000 0.004
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 3 0.4995 0.62142 0.000 0.000 0.656 0.016 0.244 0.084
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 1 0.5802 0.55939 0.420 0.000 0.000 0.000 0.180 0.400
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 4 0.3421 0.68349 0.000 0.000 0.000 0.736 0.256 0.008
#> CD576099-5450-4232-9B59-08341BED8FFA 4 0.3835 0.63729 0.000 0.000 0.000 0.668 0.320 0.012
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 4 0.3518 0.68447 0.000 0.000 0.000 0.732 0.256 0.012
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 1 0.0405 0.73770 0.988 0.000 0.000 0.000 0.008 0.004
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 1 0.0146 0.73698 0.996 0.000 0.000 0.000 0.000 0.004
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 4 0.5498 0.18100 0.000 0.384 0.000 0.524 0.060 0.032
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 4 0.5586 0.63116 0.000 0.000 0.196 0.544 0.260 0.000
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 3 0.0000 0.69822 0.000 0.000 1.000 0.000 0.000 0.000
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 1 0.0146 0.73646 0.996 0.000 0.000 0.000 0.004 0.000
#> 57E380FC-B6AB-466F-9936-D52192888008 1 0.5209 0.41719 0.572 0.020 0.000 0.004 0.356 0.048
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 4 0.5749 0.61296 0.000 0.000 0.228 0.512 0.260 0.000
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 1 0.0000 0.73632 1.000 0.000 0.000 0.000 0.000 0.000
#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 4 0.4026 0.68069 0.000 0.000 0.004 0.712 0.252 0.032
#> 1D4F0B66-720D-484D-B8D5-2B290ED208A8 3 0.5669 -0.00445 0.000 0.000 0.568 0.192 0.232 0.008
#> C886CA33-5080-4E3E-88A2-F9A3CF03A857 3 0.3459 0.67712 0.000 0.000 0.792 0.004 0.172 0.032
#> 9AC963E4-F82D-460E-9CAD-C651B879780A 4 0.3518 0.68335 0.000 0.000 0.000 0.732 0.256 0.012
#> 1B6CF403-D0AE-4FFE-A884-660A58F32660 3 0.6146 -0.27937 0.000 0.000 0.480 0.244 0.264 0.012
#> B33316E1-11FD-4C10-956A-C9C6F78508C5 1 0.4269 0.52171 0.648 0.000 0.000 0.000 0.316 0.036
#> BB02EF6A-C57D-4A79-99C1-ED43A72FFAF7 2 0.2070 0.71603 0.000 0.892 0.000 0.100 0.000 0.008
#> 4DBA59AD-9393-4BE6-88CB-852C62C4A334 3 0.0000 0.69822 0.000 0.000 1.000 0.000 0.000 0.000
#> 7887EDC4-A0D7-4E57-B3A1-330A5683457D 5 0.0937 0.66402 0.000 0.000 0.000 0.000 0.960 0.040
#> 2CD3AC14-46FB-4260-AE5C-4305C68D49BC 4 0.4002 0.68159 0.000 0.000 0.000 0.704 0.260 0.036
#> BAB8FA79-208A-488D-B955-806263E5D6BB 4 0.5586 0.63116 0.000 0.000 0.196 0.544 0.260 0.000
#> 98C990E7-7E3B-4200-A88D-E641931302EA 1 0.0000 0.73632 1.000 0.000 0.000 0.000 0.000 0.000
#> 894EE382-5ACA-4DEB-9267-99ADBEF6DA19 4 0.3337 0.68408 0.000 0.000 0.000 0.736 0.260 0.004
#> 98795F95-D26D-438A-AF46-B3BC3553F020 3 0.2810 0.70730 0.000 0.000 0.832 0.004 0.156 0.008
#> 9AD4C328-1554-4C92-931C-30CE8F305FDE 1 0.2170 0.73274 0.888 0.012 0.000 0.000 0.000 0.100
#> 4D1518D9-D968-4E7F-A702-5157A1A2E83E 1 0.0458 0.73382 0.984 0.000 0.000 0.000 0.000 0.016
#> A6E8AF8C-5D7B-4197-990B-786A869ACB96 1 0.0603 0.73758 0.980 0.000 0.000 0.000 0.004 0.016
#> DF8B4E19-8C78-4A68-8FAE-DFF01076BC97 6 0.7373 0.90131 0.000 0.260 0.124 0.244 0.000 0.372
#> 8D2C608F-3280-4CA2-B996-9AE3DBDBBD28 3 0.4523 0.59820 0.000 0.000 0.712 0.216 0.028 0.044
#> E7BCBD8D-1219-4A99-948A-47A258A5CD8B 4 0.5169 0.66050 0.000 0.000 0.136 0.604 0.260 0.000
#> 2C9633A5-8ACB-4D16-8120-F098BA14BB04 2 0.0260 0.85515 0.000 0.992 0.000 0.000 0.000 0.008
#> 985D9304-E4DA-4038-B235-067CBFEAC902 2 0.0291 0.85831 0.000 0.992 0.000 0.004 0.000 0.004
#> D34CE243-6F4F-4158-9FC4-77E1640E8A91 2 0.0291 0.85831 0.000 0.992 0.000 0.004 0.000 0.004
#> 65131575-48D3-42C2-B411-3DB871EF5EE1 5 0.5113 -0.30910 0.000 0.000 0.000 0.448 0.472 0.080
#> 1AE13DFA-670C-43EE-9898-8FA831AEDDB3 3 0.3172 0.57435 0.000 0.000 0.816 0.148 0.000 0.036
#> 3ACDCD29-1B8D-455D-9EE9-D6C903B16D09 5 0.0937 0.66402 0.000 0.000 0.000 0.000 0.960 0.040
#> C6FBC35B-0113-4F00-BE1A-831D2C551055 5 0.3139 0.57147 0.152 0.000 0.000 0.000 0.816 0.032
#> A8F3285D-A85E-4E73-9D20-9D14AA51916B 3 0.0000 0.69822 0.000 0.000 1.000 0.000 0.000 0.000
#> 51601A73-2D75-4056-AEBB-8FF8DB813450 3 0.0000 0.69822 0.000 0.000 1.000 0.000 0.000 0.000
#> 75021778-A96B-4F57-8C26-68E8F33D7EB7 5 0.5181 -0.26005 0.000 0.000 0.000 0.428 0.484 0.088
#> 71FFB439-22A1-4EBB-AEA6-A6BCA8CA6648 3 0.3469 0.71374 0.000 0.000 0.808 0.000 0.104 0.088
#> BEDB0135-0A26-44EF-9028-C4907403B110 3 0.3544 0.71066 0.000 0.000 0.800 0.000 0.120 0.080
#> 3B8BA56B-0E7B-4754-8729-8D613D0484E1 1 0.0260 0.73752 0.992 0.000 0.000 0.000 0.000 0.008
#> 100BF963-6103-45E6-A760-E44649580CF5 4 0.5710 0.58313 0.000 0.000 0.128 0.520 0.340 0.012
#> C26F21EA-5911-483F-BF64-03904BF93A20 5 0.7985 -0.19954 0.076 0.064 0.008 0.332 0.368 0.152
#> 9E50162D-8149-41D2-86C1-1C892EB98DFA 5 0.5389 -0.26089 0.000 0.000 0.044 0.408 0.512 0.036
#> 09521B29-B002-4AAD-93F1-6E600DD31515 2 0.1349 0.82065 0.000 0.940 0.000 0.004 0.000 0.056
#> 45FD44A6-7976-4453-BD3F-99D21DA3ECC2 1 0.5568 0.61254 0.468 0.000 0.004 0.000 0.120 0.408
#> 9EE0976F-1422-4F65-8837-93A192984CDF 3 0.0146 0.69696 0.000 0.000 0.996 0.000 0.000 0.004
#> 2FBAA1AA-39F7-4C58-A7DA-76B1F4B26B2E 2 0.0291 0.85831 0.000 0.992 0.000 0.004 0.000 0.004
#> B7A695A4-0B74-41E9-8662-4010C8CA38F0 5 0.1967 0.64466 0.000 0.000 0.000 0.012 0.904 0.084
#> E9013476-D037-41EA-921E-E9E62E93B75C 1 0.4045 0.71084 0.756 0.000 0.000 0.000 0.120 0.124
#> 13FD88E9-3B06-4CB6-949F-395DDDE4B75B 4 0.4919 0.51467 0.000 0.000 0.000 0.544 0.388 0.068
#> 9103E60E-D1FC-4F0F-B2CD-751921E14EBA 3 0.3534 0.71018 0.000 0.000 0.800 0.000 0.124 0.076
#> 4AEFB9F1-A55D-472E-A963-5BB3364D9D8C 4 0.5458 0.18288 0.000 0.344 0.000 0.560 0.032 0.064
#> 05B80211-2230-436E-BA34-FD48337A5DE0 2 0.0363 0.85332 0.000 0.988 0.000 0.000 0.000 0.012
#> 6B206166-85BC-4A1A-BDD2-B249652FC09E 5 0.4029 0.31637 0.292 0.000 0.000 0.000 0.680 0.028
#> 3EA60F08-5232-4A97-A656-2A0A2F5CED07 3 0.4121 0.56250 0.000 0.000 0.720 0.220 0.000 0.060
#> 9C55C086-682B-4D21-9C77-085CFE45A07E 5 0.0547 0.66500 0.000 0.000 0.000 0.000 0.980 0.020
#> B0CE5521-96E9-4087-89EE-309D785C0F96 6 0.7238 0.88693 0.000 0.256 0.096 0.276 0.000 0.372
#> 6BF76FE6-F1DA-48F2-B55D-CB106905EA8F 4 0.6220 -0.63839 0.000 0.052 0.104 0.456 0.000 0.388
#> D2ECDADA-9D0D-4044-8C61-353CCE45C0E6 5 0.7962 0.25331 0.184 0.220 0.000 0.104 0.424 0.068
#> 9565D04D-EC61-4EF8-8519-0D84CFB0C794 2 0.0291 0.85831 0.000 0.992 0.000 0.004 0.000 0.004
#> EBAFE057-B387-4D2B-8D91-25C83221816D 2 0.5686 0.07237 0.000 0.512 0.000 0.376 0.084 0.028
#> 2CDB897D-ABAF-4EBB-837C-05CC7691D20E 5 0.1556 0.65297 0.000 0.000 0.000 0.000 0.920 0.080
#> FD2F4E8A-F89C-4016-B275-13FC6B4121E9 4 0.4149 0.67871 0.000 0.016 0.000 0.712 0.248 0.024
#> 1E27DDFF-D487-4CBF-80BC-506CC7C7C74D 4 0.5608 0.62985 0.000 0.000 0.200 0.540 0.260 0.000
#> 1DD990EF-74A8-4503-B801-C01D6C171E2E 2 0.0363 0.85416 0.000 0.988 0.000 0.000 0.000 0.012
#> 4D2DF3FF-343A-4D29-9230-015131B45BD2 2 0.6026 -0.11945 0.000 0.440 0.000 0.408 0.128 0.024
#> B9949248-D762-4591-B8D6-C296C2B28D8C 6 0.7440 0.89667 0.000 0.248 0.140 0.244 0.000 0.368
#> 2D839843-4C8D-400D-8EFF-2BF9B94A27AA 5 0.6353 0.25848 0.000 0.000 0.152 0.192 0.568 0.088
#> 78C429CC-D631-43EA-9049-DAC326C98BDD 4 0.5623 0.64175 0.000 0.060 0.000 0.612 0.256 0.072
#> 71241674-DF93-4CA0-A81D-AF85B6479F62 4 0.6127 0.52013 0.000 0.000 0.248 0.420 0.328 0.004
#> 76277FC9-E447-49A4-9407-81917C90ECBD 5 0.1572 0.65062 0.000 0.000 0.000 0.036 0.936 0.028
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#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 4 0.3841 0.68270 0.000 0.000 0.000 0.716 0.256 0.028
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#> 42F39521-E1B9-47BB-B160-DA35133A9C87 3 0.3125 0.71926 0.000 0.000 0.836 0.000 0.080 0.084
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#> B1713B79-888A-4077-A9F3-C47FC754EBD4 4 0.6232 -0.69665 0.000 0.248 0.008 0.408 0.000 0.336
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.3083 0.73794 0.828 0.000 0.000 0.000 0.040 0.132
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.1003 0.74177 0.964 0.000 0.000 0.000 0.016 0.020
#> 73F28A79-7D35-4FE9-849D-FFE681483928 5 0.1556 0.65297 0.000 0.000 0.000 0.000 0.920 0.080
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 1 0.5035 0.43679 0.556 0.000 0.000 0.000 0.360 0.084
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 3 0.0000 0.69822 0.000 0.000 1.000 0.000 0.000 0.000
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 1 0.3695 0.65864 0.624 0.000 0.000 0.000 0.000 0.376
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.5040 0.06207 0.000 0.616 0.004 0.096 0.000 0.284
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#> 340E8861-0515-4EC4-B22E-4C9521A16C15 5 0.0547 0.66217 0.000 0.000 0.000 0.000 0.980 0.020
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 1 0.3582 0.66000 0.768 0.000 0.000 0.000 0.196 0.036
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 5 0.7159 0.14257 0.260 0.004 0.272 0.012 0.408 0.044
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.3221 0.71987 0.000 0.000 0.828 0.000 0.096 0.076
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.0146 0.73574 0.996 0.000 0.000 0.000 0.000 0.004
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.0146 0.85676 0.000 0.996 0.000 0.000 0.000 0.004
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 4 0.5260 0.35469 0.000 0.000 0.000 0.464 0.440 0.096
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.1141 0.82258 0.000 0.948 0.000 0.000 0.000 0.052
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 4 0.3606 0.68348 0.000 0.000 0.000 0.728 0.256 0.016
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 4 0.3850 0.68750 0.000 0.000 0.020 0.716 0.260 0.004
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 5 0.4949 -0.25146 0.008 0.000 0.016 0.448 0.508 0.020
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 4 0.5608 0.62985 0.000 0.000 0.200 0.540 0.260 0.000
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.0000 0.73632 1.000 0.000 0.000 0.000 0.000 0.000
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.3493 0.70982 0.000 0.000 0.800 0.000 0.136 0.064
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.3706 0.65770 0.620 0.000 0.000 0.000 0.000 0.380
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.1657 0.70996 0.928 0.056 0.000 0.000 0.000 0.016
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.3706 0.65770 0.620 0.000 0.000 0.000 0.000 0.380
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.0146 0.85814 0.000 0.996 0.000 0.000 0.000 0.004
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 5 0.4500 0.44564 0.000 0.000 0.248 0.000 0.676 0.076
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 5 0.4523 -0.12276 0.452 0.000 0.000 0.000 0.516 0.032
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 5 0.3436 0.63946 0.064 0.000 0.004 0.040 0.844 0.048
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.0260 0.73761 0.992 0.000 0.000 0.000 0.008 0.000
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 4 0.5882 0.60918 0.000 0.000 0.116 0.544 0.308 0.032
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 4 0.3560 0.68501 0.000 0.000 0.004 0.732 0.256 0.008
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 5 0.3907 0.33495 0.000 0.000 0.000 0.268 0.704 0.028
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 4 0.5712 0.61922 0.000 0.000 0.220 0.520 0.260 0.000
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 3 0.0547 0.69171 0.000 0.000 0.980 0.020 0.000 0.000
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 3 0.5734 -0.21211 0.000 0.000 0.516 0.228 0.256 0.000
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.3706 0.65770 0.620 0.000 0.000 0.000 0.000 0.380
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.3706 0.65770 0.620 0.000 0.000 0.000 0.000 0.380
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 5 0.5702 0.41320 0.000 0.000 0.116 0.144 0.652 0.088
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 6 0.6918 0.82715 0.000 0.320 0.056 0.248 0.000 0.376
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.1829 0.79383 0.000 0.928 0.000 0.008 0.036 0.028
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 3 0.6391 -0.42999 0.000 0.000 0.412 0.312 0.260 0.016
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.5925 -0.04362 0.000 0.000 0.416 0.372 0.000 0.212
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.0405 0.85591 0.000 0.988 0.000 0.004 0.000 0.008
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 4 0.3764 0.68668 0.000 0.000 0.012 0.724 0.256 0.008
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 4 0.5608 0.62985 0.000 0.000 0.200 0.540 0.260 0.000
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.7122 -0.31792 0.000 0.176 0.440 0.124 0.000 0.260
#> CA356591-D24F-41A8-8C9A-1178C7781510 4 0.5927 0.62129 0.000 0.000 0.220 0.516 0.256 0.008
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.3558 0.71134 0.000 0.000 0.800 0.000 0.112 0.088
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.0000 0.73632 1.000 0.000 0.000 0.000 0.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["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 17888 rows and 430 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 0.462 0.768 0.862 0.4746 0.523 0.523
#> 3 3 0.592 0.589 0.805 0.3933 0.794 0.617
#> 4 4 0.641 0.722 0.846 0.1274 0.764 0.436
#> 5 5 0.667 0.634 0.806 0.0690 0.873 0.563
#> 6 6 0.672 0.592 0.765 0.0398 0.906 0.593
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
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 2 0.0672 0.7867 0.008 0.992
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 2 0.1843 0.7727 0.028 0.972
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 2 0.6973 0.8116 0.188 0.812
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.8386 0.8013 0.268 0.732
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 2 0.0000 0.7841 0.000 1.000
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 1 0.0000 0.8747 1.000 0.000
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 2 0.0000 0.7841 0.000 1.000
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 2 0.8207 0.8102 0.256 0.744
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.8207 0.8102 0.256 0.744
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.8207 0.8102 0.256 0.744
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 1 0.3733 0.8126 0.928 0.072
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 2 0.3114 0.7538 0.056 0.944
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.8207 0.6968 0.744 0.256
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.8207 0.8102 0.256 0.744
#> ECB2DF14-CF68-44D4-8719-973AE448B992 1 0.8207 0.6968 0.744 0.256
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 2 0.8207 0.8102 0.256 0.744
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 1 0.8386 0.6873 0.732 0.268
#> 3282F146-2782-4877-9EFE-6020AC277A8C 2 0.8016 0.8130 0.244 0.756
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 2 0.8207 0.8102 0.256 0.744
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 1 0.3431 0.8199 0.936 0.064
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.8144 0.8115 0.252 0.748
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 2 0.9775 0.5912 0.412 0.588
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.8207 0.8102 0.256 0.744
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 1 0.8207 0.6968 0.744 0.256
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 2 0.0000 0.7841 0.000 1.000
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 2 0.8207 0.8102 0.256 0.744
#> C945DDA9-0194-46F4-89E2-13883284D5A4 2 0.0000 0.7841 0.000 1.000
#> 79B11925-9772-474F-A729-D00315959710 1 0.0000 0.8747 1.000 0.000
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 2 0.8207 0.8102 0.256 0.744
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 1 0.8144 0.7000 0.748 0.252
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 2 0.3114 0.7542 0.056 0.944
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.0000 0.8747 1.000 0.000
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.8327 0.8047 0.264 0.736
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 1 0.8207 0.6968 0.744 0.256
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 2 0.5408 0.6862 0.124 0.876
#> 26796E5F-C0C2-466C-9012-882F6D29C149 2 0.0000 0.7841 0.000 1.000
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 0.0000 0.8747 1.000 0.000
#> 1492D21A-6458-4B49-B530-7A327FCDD031 1 0.0000 0.8747 1.000 0.000
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 2 0.9881 0.5433 0.436 0.564
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 2 0.8207 0.8102 0.256 0.744
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.0000 0.8747 1.000 0.000
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 1 0.0000 0.8747 1.000 0.000
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.8386 0.8013 0.268 0.732
#> E846120D-D9E6-46F8-9647-2272AB064072 1 0.8207 0.6968 0.744 0.256
#> 36880C8C-91A9-49A9-A2D5-957161737F31 1 0.9954 -0.2381 0.540 0.460
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.8327 0.8047 0.264 0.736
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 1 0.9896 -0.1654 0.560 0.440
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 1 0.5178 0.8028 0.884 0.116
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 1 0.0000 0.8747 1.000 0.000
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 1 0.2043 0.8521 0.968 0.032
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 2 0.0000 0.7841 0.000 1.000
#> 116F3F29-AB89-4F00-9003-559041E285EB 2 0.0000 0.7841 0.000 1.000
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.8555 0.7899 0.280 0.720
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 1 0.8813 0.6618 0.700 0.300
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 2 0.8207 0.8102 0.256 0.744
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 2 0.8608 0.7887 0.284 0.716
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 1 0.0000 0.8747 1.000 0.000
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 2 0.8081 0.8124 0.248 0.752
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 2 0.8081 0.8124 0.248 0.752
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.0000 0.8747 1.000 0.000
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 2 0.2043 0.7705 0.032 0.968
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.8861 0.7627 0.304 0.696
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 2 0.2236 0.7681 0.036 0.964
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 1 0.7528 0.7288 0.784 0.216
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 2 0.8207 0.8102 0.256 0.744
#> CD576099-5450-4232-9B59-08341BED8FFA 2 0.8207 0.8102 0.256 0.744
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 2 0.8016 0.8130 0.244 0.756
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 1 0.0000 0.8747 1.000 0.000
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 1 0.0000 0.8747 1.000 0.000
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 2 0.8207 0.8102 0.256 0.744
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 2 0.7453 0.8131 0.212 0.788
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 2 0.0672 0.7815 0.008 0.992
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 1 0.0000 0.8747 1.000 0.000
#> 57E380FC-B6AB-466F-9936-D52192888008 1 0.0376 0.8720 0.996 0.004
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 2 0.8016 0.8130 0.244 0.756
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 1 0.0000 0.8747 1.000 0.000
#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 2 0.6801 0.8109 0.180 0.820
#> 1D4F0B66-720D-484D-B8D5-2B290ED208A8 2 0.0000 0.7841 0.000 1.000
#> C886CA33-5080-4E3E-88A2-F9A3CF03A857 1 0.9988 0.3684 0.520 0.480
#> 9AC963E4-F82D-460E-9CAD-C651B879780A 2 0.8207 0.8102 0.256 0.744
#> 1B6CF403-D0AE-4FFE-A884-660A58F32660 2 0.0000 0.7841 0.000 1.000
#> B33316E1-11FD-4C10-956A-C9C6F78508C5 1 0.0376 0.8730 0.996 0.004
#> BB02EF6A-C57D-4A79-99C1-ED43A72FFAF7 2 0.8207 0.8102 0.256 0.744
#> 4DBA59AD-9393-4BE6-88CB-852C62C4A334 2 0.0000 0.7841 0.000 1.000
#> 7887EDC4-A0D7-4E57-B3A1-330A5683457D 1 0.0000 0.8747 1.000 0.000
#> 2CD3AC14-46FB-4260-AE5C-4305C68D49BC 2 0.8207 0.8102 0.256 0.744
#> BAB8FA79-208A-488D-B955-806263E5D6BB 2 0.8144 0.8115 0.252 0.748
#> 98C990E7-7E3B-4200-A88D-E641931302EA 1 0.0000 0.8747 1.000 0.000
#> 894EE382-5ACA-4DEB-9267-99ADBEF6DA19 2 0.8016 0.8130 0.244 0.756
#> 98795F95-D26D-438A-AF46-B3BC3553F020 2 0.2236 0.7681 0.036 0.964
#> 9AD4C328-1554-4C92-931C-30CE8F305FDE 1 0.0000 0.8747 1.000 0.000
#> 4D1518D9-D968-4E7F-A702-5157A1A2E83E 1 0.0000 0.8747 1.000 0.000
#> A6E8AF8C-5D7B-4197-990B-786A869ACB96 1 0.0000 0.8747 1.000 0.000
#> DF8B4E19-8C78-4A68-8FAE-DFF01076BC97 2 0.2043 0.7916 0.032 0.968
#> 8D2C608F-3280-4CA2-B996-9AE3DBDBBD28 2 0.0000 0.7841 0.000 1.000
#> E7BCBD8D-1219-4A99-948A-47A258A5CD8B 2 0.8081 0.8124 0.248 0.752
#> 2C9633A5-8ACB-4D16-8120-F098BA14BB04 2 0.8207 0.8102 0.256 0.744
#> 985D9304-E4DA-4038-B235-067CBFEAC902 2 0.8327 0.8047 0.264 0.736
#> D34CE243-6F4F-4158-9FC4-77E1640E8A91 2 0.8327 0.8047 0.264 0.736
#> 65131575-48D3-42C2-B411-3DB871EF5EE1 2 0.8081 0.8124 0.248 0.752
#> 1AE13DFA-670C-43EE-9898-8FA831AEDDB3 2 0.0000 0.7841 0.000 1.000
#> 3ACDCD29-1B8D-455D-9EE9-D6C903B16D09 1 0.0000 0.8747 1.000 0.000
#> C6FBC35B-0113-4F00-BE1A-831D2C551055 1 0.0000 0.8747 1.000 0.000
#> A8F3285D-A85E-4E73-9D20-9D14AA51916B 2 0.0000 0.7841 0.000 1.000
#> 51601A73-2D75-4056-AEBB-8FF8DB813450 2 0.2423 0.7655 0.040 0.960
#> 75021778-A96B-4F57-8C26-68E8F33D7EB7 2 0.8207 0.8102 0.256 0.744
#> 71FFB439-22A1-4EBB-AEA6-A6BCA8CA6648 2 0.9881 -0.1200 0.436 0.564
#> BEDB0135-0A26-44EF-9028-C4907403B110 2 0.2043 0.7705 0.032 0.968
#> 3B8BA56B-0E7B-4754-8729-8D613D0484E1 1 0.0000 0.8747 1.000 0.000
#> 100BF963-6103-45E6-A760-E44649580CF5 2 0.8207 0.8102 0.256 0.744
#> C26F21EA-5911-483F-BF64-03904BF93A20 2 0.8327 0.8047 0.264 0.736
#> 9E50162D-8149-41D2-86C1-1C892EB98DFA 2 0.8386 0.8013 0.268 0.732
#> 09521B29-B002-4AAD-93F1-6E600DD31515 2 0.8144 0.8115 0.252 0.748
#> 45FD44A6-7976-4453-BD3F-99D21DA3ECC2 1 0.8207 0.6968 0.744 0.256
#> 9EE0976F-1422-4F65-8837-93A192984CDF 2 0.2236 0.7681 0.036 0.964
#> 2FBAA1AA-39F7-4C58-A7DA-76B1F4B26B2E 1 0.9732 -0.0117 0.596 0.404
#> B7A695A4-0B74-41E9-8662-4010C8CA38F0 1 0.4562 0.7858 0.904 0.096
#> E9013476-D037-41EA-921E-E9E62E93B75C 1 0.0000 0.8747 1.000 0.000
#> 13FD88E9-3B06-4CB6-949F-395DDDE4B75B 2 0.8386 0.8013 0.268 0.732
#> 9103E60E-D1FC-4F0F-B2CD-751921E14EBA 2 0.3733 0.7407 0.072 0.928
#> 4AEFB9F1-A55D-472E-A963-5BB3364D9D8C 2 0.8207 0.8102 0.256 0.744
#> 05B80211-2230-436E-BA34-FD48337A5DE0 2 0.8713 0.7770 0.292 0.708
#> 6B206166-85BC-4A1A-BDD2-B249652FC09E 1 0.0000 0.8747 1.000 0.000
#> 3EA60F08-5232-4A97-A656-2A0A2F5CED07 2 0.1843 0.7727 0.028 0.972
#> 9C55C086-682B-4D21-9C77-085CFE45A07E 1 0.9732 -0.0570 0.596 0.404
#> B0CE5521-96E9-4087-89EE-309D785C0F96 2 0.0000 0.7841 0.000 1.000
#> 6BF76FE6-F1DA-48F2-B55D-CB106905EA8F 2 0.0000 0.7841 0.000 1.000
#> D2ECDADA-9D0D-4044-8C61-353CCE45C0E6 1 0.7528 0.5916 0.784 0.216
#> 9565D04D-EC61-4EF8-8519-0D84CFB0C794 2 0.9087 0.7369 0.324 0.676
#> EBAFE057-B387-4D2B-8D91-25C83221816D 2 0.8327 0.8047 0.264 0.736
#> 2CDB897D-ABAF-4EBB-837C-05CC7691D20E 1 0.0000 0.8747 1.000 0.000
#> FD2F4E8A-F89C-4016-B275-13FC6B4121E9 2 0.8207 0.8102 0.256 0.744
#> 1E27DDFF-D487-4CBF-80BC-506CC7C7C74D 2 0.7950 0.8134 0.240 0.760
#> 1DD990EF-74A8-4503-B801-C01D6C171E2E 2 0.8499 0.7940 0.276 0.724
#> 4D2DF3FF-343A-4D29-9230-015131B45BD2 2 0.8207 0.8102 0.256 0.744
#> B9949248-D762-4591-B8D6-C296C2B28D8C 2 0.0000 0.7841 0.000 1.000
#> 2D839843-4C8D-400D-8EFF-2BF9B94A27AA 2 0.0000 0.7841 0.000 1.000
#> 78C429CC-D631-43EA-9049-DAC326C98BDD 2 0.8207 0.8102 0.256 0.744
#> 71241674-DF93-4CA0-A81D-AF85B6479F62 2 0.8016 0.8130 0.244 0.756
#> 76277FC9-E447-49A4-9407-81917C90ECBD 1 0.1633 0.8588 0.976 0.024
#> 79DE0216-2CBB-4057-AC90-0366A494F106 1 0.0000 0.8747 1.000 0.000
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#> 00A0586E-5F05-47B3-925C-87E811B0893B 2 0.8386 0.4279 0.268 0.732
#> E2B019A7-7C95-40FE-800C-D30E9730825C 1 0.8207 0.6968 0.744 0.256
#> 1B9ABB69-5CC6-4B6B-ABBC-71CC3274C7F0 1 0.0000 0.8747 1.000 0.000
#> FAE396AA-3C3C-4AF9-953D-385C41B2DB5B 1 0.0376 0.8724 0.996 0.004
#> 6BE4397D-1E5B-4486-83B4-EE0EC146C805 2 0.8207 0.8102 0.256 0.744
#> EE38BD4E-5A08-4639-912F-04203F53762F 1 0.0000 0.8747 1.000 0.000
#> 4050E7F8-80B6-46F2-8FF0-D4EC313E975B 2 0.4690 0.7147 0.100 0.900
#> F3565161-FFBE-4138-9773-558DB386710C 1 0.0000 0.8747 1.000 0.000
#> BA9ABEB1-D3F0-4F09-A647-25211C47C3D0 2 0.8207 0.8102 0.256 0.744
#> 9E41E79A-4028-4F60-8250-411F191B665C 1 0.0000 0.8747 1.000 0.000
#> 5F1D3EFD-ECDA-4C92-8D81-491484F09C95 1 0.9933 0.4286 0.548 0.452
#> 0DBA04CB-417D-4E2B-BE83-3563F45291C4 1 0.0000 0.8747 1.000 0.000
#> B9B882A5-194B-4F5C-B702-0CF71CA6D9D2 2 0.8207 0.8102 0.256 0.744
#> 67FE7638-B8F5-4631-B178-AC23B0382983 1 0.0000 0.8747 1.000 0.000
#> FE03FC2C-9A4E-4F89-8681-E33DFECCC692 1 0.0000 0.8747 1.000 0.000
#> 2B22B4B7-8A39-435C-BE3B-86FA84C8F941 2 0.0000 0.7841 0.000 1.000
#> 00844B35-C108-4AEC-A687-4A91A2F33E6D 1 0.0000 0.8747 1.000 0.000
#> C221EE7A-6343-4B6D-B322-0A2C0F0B29AF 1 0.0000 0.8747 1.000 0.000
#> B28A6D56-7654-4829-BF1F-657C3C2C10D8 1 0.0000 0.8747 1.000 0.000
#> F4C7BCEC-3CD4-4D9A-89EA-0ED58EA0DCFE 1 0.0000 0.8747 1.000 0.000
#> F06FBFAB-D143-47AE-BEE7-51B48164764F 1 0.7453 0.7317 0.788 0.212
#> 525F522B-E865-4479-AE65-510903ABF46F 2 0.0000 0.7841 0.000 1.000
#> F0CB60E3-C412-46A2-918F-8C5C099AB224 2 0.9815 0.5968 0.420 0.580
#> 587F307F-6E1B-487E-8E47-A99AB43DC5B4 2 0.9850 -0.0975 0.428 0.572
#> 883D9145-8414-4571-A3E1-516F03452C46 1 0.0000 0.8747 1.000 0.000
#> 4A917271-7EA0-4F43-B474-7F5EA756EB05 1 0.0000 0.8747 1.000 0.000
#> BB33015D-218C-4A1E-8839-95837D6E9B88 1 0.0000 0.8747 1.000 0.000
#> 021CC81F-710D-4EEA-B1D8-012A81715ACC 1 0.0000 0.8747 1.000 0.000
#> B00C4925-47E3-4442-ABEB-82D714A26587 2 0.9754 0.6052 0.408 0.592
#> F79B27D3-0426-47BB-9756-7E0759246E5E 2 0.7219 0.8131 0.200 0.800
#> 1F179559-D93E-491C-B499-64F86C31DAE0 2 0.2043 0.7705 0.032 0.968
#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 2 0.0000 0.7841 0.000 1.000
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 1 0.8207 0.6968 0.744 0.256
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 1 0.8207 0.6968 0.744 0.256
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 2 0.8327 0.8047 0.264 0.736
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 1 0.0000 0.8747 1.000 0.000
#> ED9794C0-AC60-4B54-8214-D26714871BBF 1 0.0000 0.8747 1.000 0.000
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 2 0.7950 0.8134 0.240 0.760
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 2 0.8327 0.8047 0.264 0.736
#> 18D816AF-394A-482F-B22E-896A43B1E481 2 0.8207 0.8102 0.256 0.744
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 1 0.9944 -0.2292 0.544 0.456
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 2 0.0000 0.7841 0.000 1.000
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 2 0.8207 0.8102 0.256 0.744
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 2 0.4431 0.7225 0.092 0.908
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 2 0.8207 0.8102 0.256 0.744
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 2 0.8081 0.8124 0.248 0.752
#> 7E809698-2473-4EFE-B896-1637983EC596 2 0.8207 0.8102 0.256 0.744
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 2 0.1633 0.7747 0.024 0.976
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 2 0.2948 0.7569 0.052 0.948
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 2 0.7815 0.8137 0.232 0.768
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.0000 0.8747 1.000 0.000
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.0000 0.8747 1.000 0.000
#> 73F28A79-7D35-4FE9-849D-FFE681483928 1 0.0938 0.8673 0.988 0.012
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 1 0.7139 0.7441 0.804 0.196
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 2 0.0000 0.7841 0.000 1.000
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 1 0.8016 0.7061 0.756 0.244
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.8081 0.8124 0.248 0.752
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.0000 0.8747 1.000 0.000
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 1 0.0000 0.8747 1.000 0.000
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 1 0.0000 0.8747 1.000 0.000
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 1 0.8267 0.6939 0.740 0.260
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 2 0.0376 0.7828 0.004 0.996
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.0000 0.8747 1.000 0.000
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.9732 0.6068 0.404 0.596
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 2 0.8016 0.8130 0.244 0.756
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.8267 0.8082 0.260 0.740
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 2 0.1633 0.7906 0.024 0.976
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 2 0.8207 0.8102 0.256 0.744
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 2 0.8661 0.7888 0.288 0.712
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 2 0.8207 0.8102 0.256 0.744
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.0000 0.8747 1.000 0.000
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 2 0.5059 0.7011 0.112 0.888
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.8081 0.7030 0.752 0.248
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.0376 0.8720 0.996 0.004
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.8081 0.7030 0.752 0.248
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.8207 0.8102 0.256 0.744
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 1 0.8499 0.6808 0.724 0.276
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.0000 0.8747 1.000 0.000
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 1 0.2423 0.8442 0.960 0.040
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.0000 0.8747 1.000 0.000
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 2 0.7139 0.8121 0.196 0.804
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 2 0.8081 0.8124 0.248 0.752
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 1 0.6887 0.6530 0.816 0.184
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 2 0.7883 0.8136 0.236 0.764
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 2 0.0000 0.7841 0.000 1.000
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 2 0.0000 0.7841 0.000 1.000
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.4298 0.8221 0.912 0.088
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.0000 0.8747 1.000 0.000
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 2 0.3431 0.7484 0.064 0.936
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.1633 0.7904 0.024 0.976
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.8207 0.8102 0.256 0.744
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 2 0.0000 0.7841 0.000 1.000
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 2 0.0000 0.7841 0.000 1.000
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 1 0.2423 0.8431 0.960 0.040
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 2 0.8207 0.8102 0.256 0.744
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 2 0.8016 0.8130 0.244 0.756
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 2 0.2423 0.7655 0.040 0.960
#> CA356591-D24F-41A8-8C9A-1178C7781510 2 0.0376 0.7855 0.004 0.996
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 2 0.6048 0.6540 0.148 0.852
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.0000 0.8747 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 2 0.3192 0.36134 0.000 0.888 0.112
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.1643 0.31386 0.000 0.044 0.956
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 2 0.4062 0.24517 0.000 0.836 0.164
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.6688 0.66029 0.012 0.580 0.408
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 3 0.6244 0.78248 0.000 0.440 0.560
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 1 0.5138 0.65728 0.748 0.000 0.252
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 2 0.3941 0.26583 0.000 0.844 0.156
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 2 0.0424 0.51798 0.000 0.992 0.008
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.6154 0.66491 0.000 0.592 0.408
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.6154 0.66491 0.000 0.592 0.408
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 1 0.8373 0.30706 0.524 0.088 0.388
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.6154 0.81279 0.000 0.408 0.592
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.6180 0.39642 0.584 0.000 0.416
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.6154 0.66491 0.000 0.592 0.408
#> ECB2DF14-CF68-44D4-8719-973AE448B992 1 0.6008 0.44431 0.628 0.000 0.372
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 2 0.0424 0.51798 0.000 0.992 0.008
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 3 0.7080 0.12872 0.412 0.024 0.564
#> 3282F146-2782-4877-9EFE-6020AC277A8C 2 0.1163 0.48564 0.000 0.972 0.028
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 2 0.2537 0.41422 0.000 0.920 0.080
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 1 0.5180 0.72589 0.812 0.032 0.156
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.6154 0.66491 0.000 0.592 0.408
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 2 0.8322 0.02798 0.428 0.492 0.080
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.6154 0.66491 0.000 0.592 0.408
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 1 0.5760 0.51984 0.672 0.000 0.328
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 3 0.6309 0.69836 0.000 0.496 0.504
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 2 0.1860 0.45499 0.000 0.948 0.052
#> C945DDA9-0194-46F4-89E2-13883284D5A4 3 0.6204 0.79994 0.000 0.424 0.576
#> 79B11925-9772-474F-A729-D00315959710 1 0.0000 0.84255 1.000 0.000 0.000
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 2 0.4178 0.61601 0.000 0.828 0.172
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 1 0.5138 0.63046 0.748 0.000 0.252
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 3 0.6154 0.81279 0.000 0.408 0.592
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.0000 0.84255 1.000 0.000 0.000
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.6345 0.66570 0.004 0.596 0.400
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 1 0.5760 0.51587 0.672 0.000 0.328
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.6154 0.81279 0.000 0.408 0.592
#> 26796E5F-C0C2-466C-9012-882F6D29C149 2 0.4178 0.22488 0.000 0.828 0.172
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 0.0000 0.84255 1.000 0.000 0.000
#> 1492D21A-6458-4B49-B530-7A327FCDD031 1 0.0237 0.84161 0.996 0.004 0.000
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 2 0.6398 0.05036 0.372 0.620 0.008
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 2 0.0000 0.51173 0.000 1.000 0.000
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.0000 0.84255 1.000 0.000 0.000
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 1 0.0848 0.84058 0.984 0.008 0.008
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.6540 0.66216 0.008 0.584 0.408
#> E846120D-D9E6-46F8-9647-2272AB064072 1 0.5810 0.50472 0.664 0.000 0.336
#> 36880C8C-91A9-49A9-A2D5-957161737F31 3 0.9746 -0.33309 0.364 0.228 0.408
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.6373 0.66358 0.004 0.588 0.408
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 1 0.9334 0.06912 0.428 0.164 0.408
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 1 0.0747 0.83900 0.984 0.000 0.016
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 1 0.7639 0.44166 0.656 0.256 0.088
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 1 0.8578 0.26510 0.504 0.100 0.396
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 3 0.6168 0.81000 0.000 0.412 0.588
#> 116F3F29-AB89-4F00-9003-559041E285EB 2 0.4291 0.20505 0.000 0.820 0.180
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.6950 0.65656 0.020 0.572 0.408
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 3 0.7874 0.75969 0.064 0.368 0.568
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 2 0.5733 0.65894 0.000 0.676 0.324
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 2 0.4235 0.21042 0.000 0.824 0.176
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 1 0.0000 0.84255 1.000 0.000 0.000
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 2 0.2959 0.58165 0.000 0.900 0.100
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 2 0.6154 0.66491 0.000 0.592 0.408
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.0000 0.84255 1.000 0.000 0.000
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 3 0.6154 0.81279 0.000 0.408 0.592
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.8543 0.60217 0.096 0.496 0.408
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 3 0.6154 0.81279 0.000 0.408 0.592
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 1 0.2448 0.80486 0.924 0.000 0.076
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 2 0.2356 0.56424 0.000 0.928 0.072
#> CD576099-5450-4232-9B59-08341BED8FFA 2 0.0892 0.52795 0.000 0.980 0.020
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 2 0.0892 0.50157 0.000 0.980 0.020
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 1 0.0000 0.84255 1.000 0.000 0.000
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 1 0.0000 0.84255 1.000 0.000 0.000
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 2 0.6140 0.66534 0.000 0.596 0.404
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 2 0.3267 0.35226 0.000 0.884 0.116
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 3 0.6154 0.81279 0.000 0.408 0.592
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 1 0.0000 0.84255 1.000 0.000 0.000
#> 57E380FC-B6AB-466F-9936-D52192888008 1 0.1585 0.82827 0.964 0.028 0.008
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 2 0.3038 0.37512 0.000 0.896 0.104
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 1 0.0000 0.84255 1.000 0.000 0.000
#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 2 0.2261 0.43426 0.000 0.932 0.068
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#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 2 0.2261 0.43357 0.000 0.932 0.068
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.0848 0.27073 0.008 0.008 0.984
#> CA356591-D24F-41A8-8C9A-1178C7781510 2 0.3116 0.36897 0.000 0.892 0.108
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.6154 0.81279 0.000 0.408 0.592
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.0000 0.84255 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 4 0.2412 0.76322 0.000 0.008 0.084 0.908
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.4612 0.67039 0.020 0.188 0.780 0.012
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 4 0.1661 0.78017 0.000 0.004 0.052 0.944
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.0000 0.91805 0.000 1.000 0.000 0.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 4 0.1940 0.76949 0.000 0.000 0.076 0.924
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 1 0.5193 0.50987 0.656 0.324 0.020 0.000
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 4 0.2271 0.76764 0.000 0.008 0.076 0.916
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 4 0.1362 0.79121 0.012 0.004 0.020 0.964
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.0188 0.91705 0.000 0.996 0.000 0.004
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.0000 0.91805 0.000 1.000 0.000 0.000
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.2011 0.86609 0.080 0.920 0.000 0.000
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.1792 0.72714 0.000 0.000 0.932 0.068
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 3 0.4673 0.59526 0.292 0.008 0.700 0.000
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.1302 0.89342 0.000 0.956 0.000 0.044
#> ECB2DF14-CF68-44D4-8719-973AE448B992 3 0.5296 -0.20832 0.492 0.000 0.500 0.008
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 4 0.1909 0.78675 0.004 0.048 0.008 0.940
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 3 0.1474 0.72050 0.052 0.000 0.948 0.000
#> 3282F146-2782-4877-9EFE-6020AC277A8C 4 0.1635 0.78320 0.000 0.008 0.044 0.948
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 4 0.3528 0.74191 0.000 0.000 0.192 0.808
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 1 0.6017 0.70963 0.720 0.064 0.184 0.032
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.0000 0.91805 0.000 1.000 0.000 0.000
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 1 0.7353 0.43974 0.548 0.004 0.200 0.248
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.0000 0.91805 0.000 1.000 0.000 0.000
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 3 0.4991 0.26874 0.388 0.000 0.608 0.004
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 4 0.3528 0.74401 0.000 0.000 0.192 0.808
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 4 0.3791 0.73652 0.004 0.000 0.200 0.796
#> C945DDA9-0194-46F4-89E2-13883284D5A4 4 0.2345 0.78090 0.000 0.000 0.100 0.900
#> 79B11925-9772-474F-A729-D00315959710 1 0.0188 0.85487 0.996 0.000 0.004 0.000
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 4 0.1661 0.78627 0.000 0.052 0.004 0.944
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 1 0.4916 0.14269 0.576 0.000 0.424 0.000
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 4 0.2760 0.77292 0.000 0.000 0.128 0.872
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.1302 0.85195 0.956 0.000 0.000 0.044
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 4 0.6903 0.61738 0.012 0.168 0.188 0.632
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 3 0.3873 0.62333 0.228 0.000 0.772 0.000
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.2530 0.75523 0.000 0.000 0.888 0.112
#> 26796E5F-C0C2-466C-9012-882F6D29C149 4 0.2053 0.77474 0.000 0.004 0.072 0.924
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 0.0707 0.84997 0.980 0.000 0.020 0.000
#> 1492D21A-6458-4B49-B530-7A327FCDD031 1 0.2197 0.83720 0.916 0.000 0.004 0.080
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 4 0.6542 0.58810 0.196 0.000 0.168 0.636
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 4 0.0376 0.78890 0.004 0.004 0.000 0.992
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.0817 0.85602 0.976 0.000 0.000 0.024
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 1 0.5522 0.68838 0.716 0.000 0.204 0.080
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.0779 0.91198 0.000 0.980 0.004 0.016
#> E846120D-D9E6-46F8-9647-2272AB064072 3 0.4866 0.40003 0.404 0.000 0.596 0.000
#> 36880C8C-91A9-49A9-A2D5-957161737F31 2 0.0469 0.91336 0.012 0.988 0.000 0.000
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.0000 0.91805 0.000 1.000 0.000 0.000
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 1 0.5189 0.41914 0.616 0.372 0.000 0.012
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 1 0.1743 0.83771 0.940 0.000 0.056 0.004
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 4 0.5127 0.41531 0.356 0.000 0.012 0.632
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 2 0.4193 0.61373 0.268 0.732 0.000 0.000
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 3 0.4999 0.25195 0.000 0.000 0.508 0.492
#> 116F3F29-AB89-4F00-9003-559041E285EB 4 0.2805 0.75086 0.000 0.012 0.100 0.888
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.0000 0.91805 0.000 1.000 0.000 0.000
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 3 0.5062 0.65732 0.020 0.000 0.680 0.300
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 4 0.4866 0.37388 0.000 0.404 0.000 0.596
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 4 0.3668 0.74248 0.004 0.000 0.188 0.808
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 1 0.2335 0.82068 0.920 0.020 0.060 0.000
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 4 0.5947 0.69356 0.000 0.112 0.200 0.688
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 2 0.0817 0.90891 0.000 0.976 0.024 0.000
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.0188 0.85487 0.996 0.000 0.004 0.000
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 3 0.1792 0.71779 0.000 0.000 0.932 0.068
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.0000 0.91805 0.000 1.000 0.000 0.000
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 3 0.3123 0.66691 0.000 0.000 0.844 0.156
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 1 0.4331 0.53183 0.712 0.000 0.288 0.000
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 4 0.2408 0.76091 0.000 0.104 0.000 0.896
#> CD576099-5450-4232-9B59-08341BED8FFA 4 0.4301 0.74013 0.012 0.008 0.192 0.788
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 4 0.3037 0.79030 0.000 0.020 0.100 0.880
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 1 0.0376 0.85569 0.992 0.000 0.004 0.004
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 1 0.0188 0.85487 0.996 0.000 0.004 0.000
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 2 0.2197 0.86152 0.000 0.916 0.004 0.080
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 4 0.1661 0.78017 0.000 0.004 0.052 0.944
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 4 0.4776 0.23650 0.000 0.000 0.376 0.624
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 1 0.1302 0.85195 0.956 0.000 0.000 0.044
#> 57E380FC-B6AB-466F-9936-D52192888008 1 0.1474 0.84930 0.948 0.000 0.000 0.052
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 4 0.0921 0.78725 0.000 0.000 0.028 0.972
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 1 0.0707 0.85626 0.980 0.000 0.000 0.020
#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 4 0.5598 0.59917 0.000 0.220 0.076 0.704
#> 1D4F0B66-720D-484D-B8D5-2B290ED208A8 4 0.3801 0.61118 0.000 0.000 0.220 0.780
#> C886CA33-5080-4E3E-88A2-F9A3CF03A857 3 0.4464 0.66840 0.224 0.012 0.760 0.004
#> 9AC963E4-F82D-460E-9CAD-C651B879780A 4 0.4477 0.56880 0.000 0.312 0.000 0.688
#> 1B6CF403-D0AE-4FFE-A884-660A58F32660 4 0.2704 0.73385 0.000 0.000 0.124 0.876
#> B33316E1-11FD-4C10-956A-C9C6F78508C5 1 0.0707 0.85567 0.980 0.000 0.020 0.000
#> BB02EF6A-C57D-4A79-99C1-ED43A72FFAF7 2 0.0524 0.91501 0.000 0.988 0.004 0.008
#> 4DBA59AD-9393-4BE6-88CB-852C62C4A334 4 0.2868 0.72168 0.000 0.000 0.136 0.864
#> 7887EDC4-A0D7-4E57-B3A1-330A5683457D 1 0.7271 0.38342 0.532 0.000 0.192 0.276
#> 2CD3AC14-46FB-4260-AE5C-4305C68D49BC 4 0.3710 0.74338 0.000 0.004 0.192 0.804
#> BAB8FA79-208A-488D-B955-806263E5D6BB 4 0.1109 0.78709 0.000 0.004 0.028 0.968
#> 98C990E7-7E3B-4200-A88D-E641931302EA 1 0.0188 0.85487 0.996 0.000 0.004 0.000
#> 894EE382-5ACA-4DEB-9267-99ADBEF6DA19 4 0.3215 0.78996 0.000 0.032 0.092 0.876
#> 98795F95-D26D-438A-AF46-B3BC3553F020 3 0.4182 0.74798 0.024 0.000 0.796 0.180
#> 9AD4C328-1554-4C92-931C-30CE8F305FDE 1 0.2300 0.82373 0.920 0.064 0.016 0.000
#> 4D1518D9-D968-4E7F-A702-5157A1A2E83E 1 0.0188 0.85487 0.996 0.000 0.004 0.000
#> A6E8AF8C-5D7B-4197-990B-786A869ACB96 1 0.2256 0.84320 0.924 0.000 0.056 0.020
#> DF8B4E19-8C78-4A68-8FAE-DFF01076BC97 2 0.0000 0.91805 0.000 1.000 0.000 0.000
#> 8D2C608F-3280-4CA2-B996-9AE3DBDBBD28 3 0.2589 0.67161 0.000 0.000 0.884 0.116
#> E7BCBD8D-1219-4A99-948A-47A258A5CD8B 4 0.1576 0.78164 0.000 0.004 0.048 0.948
#> 2C9633A5-8ACB-4D16-8120-F098BA14BB04 2 0.0000 0.91805 0.000 1.000 0.000 0.000
#> 985D9304-E4DA-4038-B235-067CBFEAC902 2 0.0000 0.91805 0.000 1.000 0.000 0.000
#> D34CE243-6F4F-4158-9FC4-77E1640E8A91 2 0.0000 0.91805 0.000 1.000 0.000 0.000
#> 65131575-48D3-42C2-B411-3DB871EF5EE1 4 0.3105 0.76651 0.004 0.000 0.140 0.856
#> 1AE13DFA-670C-43EE-9898-8FA831AEDDB3 4 0.3428 0.70858 0.000 0.012 0.144 0.844
#> 3ACDCD29-1B8D-455D-9EE9-D6C903B16D09 4 0.7589 0.04665 0.396 0.000 0.196 0.408
#> C6FBC35B-0113-4F00-BE1A-831D2C551055 1 0.5486 0.69137 0.720 0.000 0.200 0.080
#> A8F3285D-A85E-4E73-9D20-9D14AA51916B 3 0.4989 0.31628 0.000 0.000 0.528 0.472
#> 51601A73-2D75-4056-AEBB-8FF8DB813450 3 0.3649 0.74033 0.000 0.000 0.796 0.204
#> 75021778-A96B-4F57-8C26-68E8F33D7EB7 4 0.3668 0.74303 0.004 0.000 0.188 0.808
#> 71FFB439-22A1-4EBB-AEA6-A6BCA8CA6648 3 0.3764 0.73659 0.000 0.000 0.784 0.216
#> BEDB0135-0A26-44EF-9028-C4907403B110 4 0.4103 0.73860 0.000 0.000 0.256 0.744
#> 3B8BA56B-0E7B-4754-8729-8D613D0484E1 1 0.0188 0.85487 0.996 0.000 0.004 0.000
#> 100BF963-6103-45E6-A760-E44649580CF5 4 0.0469 0.78804 0.012 0.000 0.000 0.988
#> C26F21EA-5911-483F-BF64-03904BF93A20 2 0.6634 0.64062 0.072 0.688 0.184 0.056
#> 9E50162D-8149-41D2-86C1-1C892EB98DFA 4 0.1109 0.78559 0.028 0.004 0.000 0.968
#> 09521B29-B002-4AAD-93F1-6E600DD31515 2 0.0817 0.90677 0.000 0.976 0.000 0.024
#> 45FD44A6-7976-4453-BD3F-99D21DA3ECC2 3 0.4522 0.55897 0.320 0.000 0.680 0.000
#> 9EE0976F-1422-4F65-8837-93A192984CDF 3 0.3649 0.74033 0.000 0.000 0.796 0.204
#> 2FBAA1AA-39F7-4C58-A7DA-76B1F4B26B2E 2 0.2760 0.81734 0.128 0.872 0.000 0.000
#> B7A695A4-0B74-41E9-8662-4010C8CA38F0 4 0.4713 0.72995 0.052 0.000 0.172 0.776
#> E9013476-D037-41EA-921E-E9E62E93B75C 1 0.1211 0.85310 0.960 0.000 0.040 0.000
#> 13FD88E9-3B06-4CB6-949F-395DDDE4B75B 4 0.4465 0.73002 0.020 0.004 0.200 0.776
#> 9103E60E-D1FC-4F0F-B2CD-751921E14EBA 3 0.3610 0.74325 0.000 0.000 0.800 0.200
#> 4AEFB9F1-A55D-472E-A963-5BB3364D9D8C 2 0.3024 0.78972 0.000 0.852 0.000 0.148
#> 05B80211-2230-436E-BA34-FD48337A5DE0 2 0.0707 0.90964 0.020 0.980 0.000 0.000
#> 6B206166-85BC-4A1A-BDD2-B249652FC09E 1 0.0921 0.85554 0.972 0.000 0.000 0.028
#> 3EA60F08-5232-4A97-A656-2A0A2F5CED07 3 0.3649 0.74033 0.000 0.000 0.796 0.204
#> 9C55C086-682B-4D21-9C77-085CFE45A07E 4 0.2281 0.75358 0.096 0.000 0.000 0.904
#> B0CE5521-96E9-4087-89EE-309D785C0F96 2 0.0000 0.91805 0.000 1.000 0.000 0.000
#> 6BF76FE6-F1DA-48F2-B55D-CB106905EA8F 2 0.1059 0.90852 0.000 0.972 0.016 0.012
#> D2ECDADA-9D0D-4044-8C61-353CCE45C0E6 1 0.4639 0.67548 0.752 0.228 0.012 0.008
#> 9565D04D-EC61-4EF8-8519-0D84CFB0C794 2 0.2081 0.85935 0.084 0.916 0.000 0.000
#> EBAFE057-B387-4D2B-8D91-25C83221816D 4 0.4182 0.70469 0.024 0.180 0.000 0.796
#> 2CDB897D-ABAF-4EBB-837C-05CC7691D20E 1 0.5386 0.42683 0.612 0.000 0.020 0.368
#> FD2F4E8A-F89C-4016-B275-13FC6B4121E9 4 0.2469 0.76038 0.000 0.108 0.000 0.892
#> 1E27DDFF-D487-4CBF-80BC-506CC7C7C74D 4 0.1489 0.78320 0.000 0.004 0.044 0.952
#> 1DD990EF-74A8-4503-B801-C01D6C171E2E 2 0.0469 0.91498 0.000 0.988 0.012 0.000
#> 4D2DF3FF-343A-4D29-9230-015131B45BD2 2 0.1940 0.86599 0.000 0.924 0.000 0.076
#> B9949248-D762-4591-B8D6-C296C2B28D8C 2 0.0336 0.91481 0.000 0.992 0.008 0.000
#> 2D839843-4C8D-400D-8EFF-2BF9B94A27AA 4 0.3726 0.73959 0.000 0.000 0.212 0.788
#> 78C429CC-D631-43EA-9049-DAC326C98BDD 2 0.7733 -0.04248 0.004 0.432 0.196 0.368
#> 71241674-DF93-4CA0-A81D-AF85B6479F62 4 0.0817 0.78786 0.000 0.000 0.024 0.976
#> 76277FC9-E447-49A4-9407-81917C90ECBD 1 0.6262 0.26742 0.540 0.000 0.060 0.400
#> 79DE0216-2CBB-4057-AC90-0366A494F106 1 0.0921 0.85557 0.972 0.000 0.000 0.028
#> 3B842084-AE30-4666-B80A-8FA36EF628F3 1 0.5474 0.57122 0.672 0.292 0.004 0.032
#> 57200367-96F1-48B9-AB7F-DC11EFE866C4 4 0.1557 0.77964 0.000 0.000 0.056 0.944
#> 219B7654-6065-41D3-964B-C829364CD87B 3 0.4327 0.73532 0.000 0.016 0.768 0.216
#> 26923D9B-CE8E-400E-93CD-E0EE1401CB9D 4 0.3448 0.75322 0.004 0.000 0.168 0.828
#> 21B783EB-B0D0-4B28-9468-D0B130D13E26 4 0.3610 0.76540 0.000 0.000 0.200 0.800
#> 67D465A4-8068-4325-ABC5-5917B7D726BB 2 0.0000 0.91805 0.000 1.000 0.000 0.000
#> 30A8ABA0-ECB4-4B44-9630-5FFF862A157F 2 0.0000 0.91805 0.000 1.000 0.000 0.000
#> 71040F61-834D-4A75-960D-5DABBCADD3A0 1 0.2647 0.77714 0.880 0.000 0.120 0.000
#> A4EC5E62-AF75-435A-903F-D35B171CEA2C 2 0.0000 0.91805 0.000 1.000 0.000 0.000
#> 2F6A0808-8F01-4721-938D-F1FC7C5D8357 3 0.4985 -0.22087 0.000 0.000 0.532 0.468
#> F1A142BF-9737-442D-B9A1-AA03958916D8 3 0.4174 0.69777 0.044 0.140 0.816 0.000
#> 2DC1CF96-6822-412A-B002-3DC1239D17A7 4 0.4624 0.34582 0.000 0.000 0.340 0.660
#> 9C57AC2A-83C8-41EB-8DC3-9A897D8F8110 2 0.0000 0.91805 0.000 1.000 0.000 0.000
#> D22198BE-2B03-4A06-9EB6-696B67E8CEFB 4 0.4992 -0.15937 0.000 0.000 0.476 0.524
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#> 4975AB35-93E5-400D-A429-CEA81BA89FFE 1 0.0188 0.85641 0.996 0.000 0.000 0.004
#> 666ADCA2-1AE4-4843-B1C8-8EE29C44AE74 1 0.4406 0.67139 0.780 0.000 0.028 0.192
#> A8F79C08-3943-4707-ADCB-890A955B5394 2 0.0000 0.91805 0.000 1.000 0.000 0.000
#> A81614ED-14CB-4EBC-988E-F67FBCBF62D8 1 0.4331 0.60746 0.712 0.288 0.000 0.000
#> E27E65C8-5B57-4C91-9D20-C075AEA2F2C5 1 0.3356 0.71169 0.824 0.000 0.176 0.000
#> 745F18CA-080D-42FE-BAA6-89AD7E3D3408 4 0.1404 0.79068 0.012 0.012 0.012 0.964
#> E755A625-799D-4A39-9D56-080228E0B669 2 0.2542 0.85409 0.084 0.904 0.012 0.000
#> 3D94EFB8-94D4-4FDE-97D8-18A159279996 3 0.3870 0.64904 0.004 0.208 0.788 0.000
#> 3D305C2E-6C86-4684-AA2A-155291AB4CC3 1 0.0469 0.85639 0.988 0.000 0.000 0.012
#> E140052A-5434-4C44-9873-0318D1D272CA 2 0.0000 0.91805 0.000 1.000 0.000 0.000
#> 68E56692-D46D-4A27-86CD-717E10AADDDA 4 0.4877 0.12375 0.000 0.000 0.408 0.592
#> 00A0586E-5F05-47B3-925C-87E811B0893B 3 0.0707 0.72570 0.000 0.000 0.980 0.020
#> E2B019A7-7C95-40FE-800C-D30E9730825C 3 0.5328 0.68982 0.212 0.000 0.724 0.064
#> 1B9ABB69-5CC6-4B6B-ABBC-71CC3274C7F0 1 0.1716 0.84457 0.936 0.000 0.000 0.064
#> FAE396AA-3C3C-4AF9-953D-385C41B2DB5B 1 0.2281 0.82806 0.904 0.000 0.000 0.096
#> 6BE4397D-1E5B-4486-83B4-EE0EC146C805 2 0.0707 0.90983 0.000 0.980 0.000 0.020
#> EE38BD4E-5A08-4639-912F-04203F53762F 1 0.0336 0.85630 0.992 0.000 0.000 0.008
#> 4050E7F8-80B6-46F2-8FF0-D4EC313E975B 3 0.3764 0.73659 0.000 0.000 0.784 0.216
#> F3565161-FFBE-4138-9773-558DB386710C 1 0.0707 0.85626 0.980 0.000 0.000 0.020
#> BA9ABEB1-D3F0-4F09-A647-25211C47C3D0 2 0.0000 0.91805 0.000 1.000 0.000 0.000
#> 9E41E79A-4028-4F60-8250-411F191B665C 1 0.0188 0.85605 0.996 0.000 0.000 0.004
#> 5F1D3EFD-ECDA-4C92-8D81-491484F09C95 3 0.3311 0.69402 0.000 0.000 0.828 0.172
#> 0DBA04CB-417D-4E2B-BE83-3563F45291C4 1 0.0376 0.85647 0.992 0.004 0.000 0.004
#> B9B882A5-194B-4F5C-B702-0CF71CA6D9D2 4 0.3494 0.72380 0.004 0.172 0.000 0.824
#> 67FE7638-B8F5-4631-B178-AC23B0382983 1 0.1706 0.85101 0.948 0.000 0.036 0.016
#> FE03FC2C-9A4E-4F89-8681-E33DFECCC692 2 0.3606 0.79714 0.132 0.844 0.024 0.000
#> 2B22B4B7-8A39-435C-BE3B-86FA84C8F941 4 0.7168 0.58249 0.000 0.192 0.256 0.552
#> 00844B35-C108-4AEC-A687-4A91A2F33E6D 1 0.0188 0.85605 0.996 0.000 0.000 0.004
#> C221EE7A-6343-4B6D-B322-0A2C0F0B29AF 1 0.0817 0.85602 0.976 0.000 0.000 0.024
#> B28A6D56-7654-4829-BF1F-657C3C2C10D8 1 0.0188 0.85487 0.996 0.000 0.004 0.000
#> F4C7BCEC-3CD4-4D9A-89EA-0ED58EA0DCFE 1 0.4030 0.79478 0.836 0.000 0.092 0.072
#> F06FBFAB-D143-47AE-BEE7-51B48164764F 3 0.6883 0.51265 0.212 0.192 0.596 0.000
#> 525F522B-E865-4479-AE65-510903ABF46F 3 0.5628 0.53855 0.000 0.144 0.724 0.132
#> F0CB60E3-C412-46A2-918F-8C5C099AB224 4 0.0921 0.78544 0.028 0.000 0.000 0.972
#> 587F307F-6E1B-487E-8E47-A99AB43DC5B4 3 0.3710 0.74459 0.004 0.000 0.804 0.192
#> 883D9145-8414-4571-A3E1-516F03452C46 1 0.3587 0.80256 0.856 0.000 0.104 0.040
#> 4A917271-7EA0-4F43-B474-7F5EA756EB05 1 0.0376 0.85469 0.992 0.004 0.004 0.000
#> BB33015D-218C-4A1E-8839-95837D6E9B88 1 0.2224 0.84639 0.928 0.000 0.040 0.032
#> 021CC81F-710D-4EEA-B1D8-012A81715ACC 1 0.1022 0.85479 0.968 0.000 0.000 0.032
#> B00C4925-47E3-4442-ABEB-82D714A26587 4 0.1042 0.78932 0.020 0.000 0.008 0.972
#> F79B27D3-0426-47BB-9756-7E0759246E5E 2 0.0000 0.91805 0.000 1.000 0.000 0.000
#> 1F179559-D93E-491C-B499-64F86C31DAE0 4 0.3528 0.75662 0.000 0.000 0.192 0.808
#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 4 0.2149 0.79065 0.000 0.000 0.088 0.912
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 3 0.4679 0.49955 0.352 0.000 0.648 0.000
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 3 0.4356 0.60015 0.292 0.000 0.708 0.000
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 2 0.0188 0.91728 0.000 0.996 0.004 0.000
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 1 0.1118 0.85388 0.964 0.000 0.000 0.036
#> ED9794C0-AC60-4B54-8214-D26714871BBF 1 0.1302 0.83830 0.956 0.000 0.044 0.000
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 4 0.1584 0.78555 0.000 0.012 0.036 0.952
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 2 0.0188 0.91705 0.000 0.996 0.000 0.004
#> 18D816AF-394A-482F-B22E-896A43B1E481 2 0.0000 0.91805 0.000 1.000 0.000 0.000
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 1 0.5163 0.19392 0.516 0.004 0.000 0.480
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 4 0.4382 0.46195 0.000 0.000 0.296 0.704
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 4 0.4746 0.46734 0.000 0.368 0.000 0.632
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 3 0.1867 0.74098 0.000 0.000 0.928 0.072
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 4 0.3937 0.74000 0.012 0.000 0.188 0.800
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 4 0.4214 0.73751 0.000 0.016 0.204 0.780
#> 7E809698-2473-4EFE-B896-1637983EC596 4 0.5628 0.66504 0.000 0.216 0.080 0.704
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 3 0.4356 0.63713 0.000 0.000 0.708 0.292
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 3 0.3024 0.74944 0.000 0.000 0.852 0.148
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 2 0.0921 0.90508 0.000 0.972 0.000 0.028
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.0921 0.84724 0.972 0.000 0.028 0.000
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.0707 0.85019 0.980 0.000 0.020 0.000
#> 73F28A79-7D35-4FE9-849D-FFE681483928 4 0.4956 0.71689 0.056 0.000 0.188 0.756
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 1 0.3400 0.70655 0.820 0.000 0.180 0.000
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 4 0.3942 0.58481 0.000 0.000 0.236 0.764
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 3 0.4992 0.21005 0.476 0.000 0.524 0.000
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.0000 0.91805 0.000 1.000 0.000 0.000
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.0188 0.85487 0.996 0.000 0.004 0.000
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 1 0.2216 0.83031 0.908 0.000 0.000 0.092
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 1 0.2124 0.84669 0.932 0.000 0.040 0.028
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 3 0.4406 0.58928 0.300 0.000 0.700 0.000
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.2149 0.71036 0.000 0.000 0.912 0.088
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.0376 0.85569 0.992 0.000 0.004 0.004
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.0707 0.90964 0.020 0.980 0.000 0.000
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 4 0.3172 0.75769 0.000 0.000 0.160 0.840
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.0188 0.91709 0.000 0.996 0.004 0.000
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 4 0.4114 0.75209 0.000 0.112 0.060 0.828
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 4 0.1398 0.78722 0.004 0.040 0.000 0.956
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 4 0.5888 0.47007 0.308 0.004 0.048 0.640
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 4 0.1821 0.78754 0.008 0.012 0.032 0.948
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.0336 0.85385 0.992 0.000 0.008 0.000
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.2760 0.75564 0.000 0.000 0.872 0.128
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.4981 -0.00444 0.536 0.000 0.464 0.000
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.2987 0.80634 0.880 0.104 0.000 0.016
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.3764 0.65422 0.784 0.000 0.216 0.000
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.0000 0.91805 0.000 1.000 0.000 0.000
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 3 0.4574 0.56652 0.024 0.000 0.756 0.220
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.1022 0.85480 0.968 0.000 0.000 0.032
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 1 0.4937 0.72921 0.764 0.000 0.172 0.064
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.0188 0.85487 0.996 0.000 0.004 0.000
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 4 0.1389 0.79136 0.000 0.000 0.048 0.952
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 4 0.1182 0.78909 0.000 0.016 0.016 0.968
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 4 0.7561 0.20484 0.348 0.000 0.200 0.452
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 4 0.1118 0.78566 0.000 0.000 0.036 0.964
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 4 0.4585 0.36761 0.000 0.000 0.332 0.668
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 4 0.2149 0.76158 0.000 0.000 0.088 0.912
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.2469 0.78860 0.892 0.000 0.108 0.000
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.4295 0.60458 0.752 0.008 0.240 0.000
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 4 0.3649 0.74529 0.000 0.000 0.204 0.796
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.0000 0.91805 0.000 1.000 0.000 0.000
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.0336 0.91634 0.000 0.992 0.008 0.000
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 4 0.3172 0.77826 0.000 0.000 0.160 0.840
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.3801 0.73343 0.000 0.000 0.780 0.220
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.3400 0.75311 0.180 0.820 0.000 0.000
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 4 0.1406 0.79085 0.000 0.024 0.016 0.960
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 4 0.1661 0.78017 0.000 0.004 0.052 0.944
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.4839 0.64656 0.044 0.200 0.756 0.000
#> CA356591-D24F-41A8-8C9A-1178C7781510 4 0.2222 0.77483 0.000 0.016 0.060 0.924
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.1389 0.73708 0.000 0.000 0.952 0.048
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.0376 0.85569 0.992 0.000 0.004 0.004
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 4 0.1502 0.72560 0.000 0.000 0.056 0.940 0.004
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.3609 0.70969 0.000 0.148 0.816 0.032 0.004
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 4 0.1399 0.73098 0.000 0.000 0.028 0.952 0.020
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.0000 0.89372 0.000 1.000 0.000 0.000 0.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 4 0.2482 0.71247 0.024 0.000 0.084 0.892 0.000
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 2 0.6401 -0.04716 0.404 0.456 0.008 0.000 0.132
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 4 0.1043 0.72875 0.000 0.000 0.040 0.960 0.000
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 4 0.4430 -0.03588 0.004 0.000 0.000 0.540 0.456
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.0162 0.89338 0.000 0.996 0.000 0.004 0.000
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.0000 0.89372 0.000 1.000 0.000 0.000 0.000
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.0162 0.89324 0.004 0.996 0.000 0.000 0.000
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.1410 0.76768 0.000 0.000 0.940 0.000 0.060
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.4335 0.44969 0.664 0.000 0.324 0.008 0.004
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.0703 0.88737 0.000 0.976 0.000 0.024 0.000
#> ECB2DF14-CF68-44D4-8719-973AE448B992 5 0.4448 -0.16921 0.004 0.000 0.480 0.000 0.516
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 5 0.4595 0.36028 0.004 0.008 0.000 0.400 0.588
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 3 0.1792 0.76095 0.000 0.000 0.916 0.000 0.084
#> 3282F146-2782-4877-9EFE-6020AC277A8C 4 0.0609 0.72859 0.000 0.000 0.000 0.980 0.020
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 5 0.4422 0.52468 0.004 0.000 0.012 0.320 0.664
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 5 0.4905 0.43258 0.000 0.224 0.080 0.000 0.696
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.0960 0.88799 0.000 0.972 0.008 0.016 0.004
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 5 0.0613 0.66114 0.000 0.004 0.008 0.004 0.984
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.0000 0.89372 0.000 1.000 0.000 0.000 0.000
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 3 0.5953 0.39906 0.112 0.000 0.504 0.000 0.384
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 5 0.4609 0.64044 0.000 0.000 0.104 0.152 0.744
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 5 0.5595 0.60288 0.000 0.004 0.140 0.204 0.652
#> C945DDA9-0194-46F4-89E2-13883284D5A4 4 0.4719 0.52319 0.000 0.000 0.056 0.696 0.248
#> 79B11925-9772-474F-A729-D00315959710 1 0.1270 0.82434 0.948 0.000 0.000 0.000 0.052
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 4 0.3379 0.66171 0.008 0.016 0.000 0.828 0.148
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 1 0.6697 -0.00285 0.380 0.000 0.380 0.000 0.240
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 5 0.5294 0.38291 0.000 0.000 0.056 0.380 0.564
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.2230 0.80620 0.884 0.000 0.000 0.000 0.116
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 5 0.4629 0.65382 0.004 0.076 0.008 0.148 0.764
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 3 0.5508 0.59829 0.096 0.004 0.636 0.000 0.264
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.0671 0.77270 0.000 0.000 0.980 0.004 0.016
#> 26796E5F-C0C2-466C-9012-882F6D29C149 4 0.1331 0.73217 0.000 0.000 0.040 0.952 0.008
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 0.3132 0.77261 0.820 0.000 0.008 0.000 0.172
#> 1492D21A-6458-4B49-B530-7A327FCDD031 5 0.4722 0.20054 0.368 0.000 0.000 0.024 0.608
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 5 0.6250 0.44046 0.120 0.000 0.012 0.328 0.540
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 4 0.4030 0.34544 0.000 0.000 0.000 0.648 0.352
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.1043 0.82488 0.960 0.000 0.000 0.000 0.040
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 5 0.1892 0.63606 0.000 0.004 0.080 0.000 0.916
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.0404 0.89150 0.000 0.988 0.000 0.012 0.000
#> E846120D-D9E6-46F8-9647-2272AB064072 1 0.4030 0.40981 0.648 0.000 0.352 0.000 0.000
#> 36880C8C-91A9-49A9-A2D5-957161737F31 2 0.0324 0.89340 0.004 0.992 0.000 0.000 0.004
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#> 587F307F-6E1B-487E-8E47-A99AB43DC5B4 3 0.1168 0.77244 0.000 0.000 0.960 0.032 0.008
#> 883D9145-8414-4571-A3E1-516F03452C46 5 0.3117 0.60577 0.100 0.004 0.036 0.000 0.860
#> 4A917271-7EA0-4F43-B474-7F5EA756EB05 1 0.0771 0.82447 0.976 0.000 0.004 0.000 0.020
#> BB33015D-218C-4A1E-8839-95837D6E9B88 1 0.2914 0.79822 0.872 0.000 0.076 0.000 0.052
#> 021CC81F-710D-4EEA-B1D8-012A81715ACC 1 0.0486 0.82168 0.988 0.000 0.004 0.004 0.004
#> B00C4925-47E3-4442-ABEB-82D714A26587 4 0.6236 0.09529 0.008 0.000 0.120 0.512 0.360
#> F79B27D3-0426-47BB-9756-7E0759246E5E 2 0.1356 0.88109 0.000 0.956 0.012 0.028 0.004
#> 1F179559-D93E-491C-B499-64F86C31DAE0 5 0.2331 0.67063 0.000 0.000 0.020 0.080 0.900
#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 5 0.5028 0.37175 0.000 0.000 0.036 0.400 0.564
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 3 0.4929 0.66756 0.148 0.000 0.716 0.000 0.136
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 3 0.4356 0.46181 0.340 0.000 0.648 0.000 0.012
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 2 0.0000 0.89372 0.000 1.000 0.000 0.000 0.000
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 1 0.0771 0.82546 0.976 0.000 0.004 0.000 0.020
#> ED9794C0-AC60-4B54-8214-D26714871BBF 1 0.0794 0.81647 0.972 0.000 0.028 0.000 0.000
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 4 0.3612 0.51174 0.000 0.000 0.000 0.732 0.268
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 2 0.0404 0.89191 0.000 0.988 0.000 0.012 0.000
#> 18D816AF-394A-482F-B22E-896A43B1E481 2 0.0162 0.89338 0.000 0.996 0.000 0.004 0.000
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 1 0.4744 0.24538 0.572 0.000 0.000 0.408 0.020
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 4 0.3684 0.54455 0.000 0.000 0.280 0.720 0.000
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 2 0.5153 0.11846 0.000 0.524 0.000 0.436 0.040
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 3 0.2389 0.75228 0.000 0.000 0.880 0.004 0.116
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 5 0.3790 0.58422 0.004 0.000 0.000 0.272 0.724
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 5 0.3631 0.66488 0.000 0.024 0.012 0.144 0.820
#> 7E809698-2473-4EFE-B896-1637983EC596 5 0.5268 0.58976 0.000 0.112 0.000 0.220 0.668
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 3 0.3116 0.76310 0.000 0.000 0.860 0.064 0.076
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 3 0.1764 0.77217 0.000 0.000 0.928 0.008 0.064
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 2 0.1768 0.85835 0.000 0.924 0.000 0.072 0.004
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.0703 0.81820 0.976 0.000 0.024 0.000 0.000
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.0162 0.82055 0.996 0.000 0.004 0.000 0.000
#> 73F28A79-7D35-4FE9-849D-FFE681483928 5 0.6620 0.50146 0.020 0.000 0.164 0.280 0.536
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 1 0.1732 0.79408 0.920 0.000 0.080 0.000 0.000
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 4 0.2690 0.67379 0.000 0.000 0.156 0.844 0.000
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 3 0.5406 0.04424 0.468 0.000 0.476 0.000 0.056
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.0451 0.89247 0.000 0.988 0.000 0.008 0.004
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.1270 0.82434 0.948 0.000 0.000 0.000 0.052
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 1 0.1628 0.80987 0.936 0.000 0.000 0.008 0.056
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 5 0.4065 0.35602 0.264 0.000 0.016 0.000 0.720
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 3 0.5770 0.26892 0.388 0.000 0.528 0.004 0.080
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.1732 0.76150 0.000 0.000 0.920 0.000 0.080
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.1544 0.82184 0.932 0.000 0.000 0.000 0.068
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.0162 0.89324 0.004 0.996 0.000 0.000 0.000
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 5 0.4830 0.58023 0.000 0.000 0.060 0.256 0.684
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.0740 0.89090 0.008 0.980 0.008 0.000 0.004
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 4 0.4819 0.59628 0.000 0.164 0.112 0.724 0.000
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 4 0.2127 0.69943 0.000 0.000 0.000 0.892 0.108
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 4 0.6133 0.27848 0.216 0.000 0.000 0.564 0.220
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 4 0.0854 0.73040 0.008 0.000 0.012 0.976 0.004
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.1041 0.82587 0.964 0.000 0.004 0.000 0.032
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.1018 0.77241 0.000 0.000 0.968 0.016 0.016
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.4973 0.42924 0.632 0.000 0.320 0.000 0.048
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.3532 0.76901 0.832 0.092 0.000 0.000 0.076
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.1608 0.79834 0.928 0.000 0.072 0.000 0.000
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.0404 0.89184 0.000 0.988 0.000 0.012 0.000
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 3 0.4300 0.23686 0.000 0.000 0.524 0.000 0.476
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.0794 0.82507 0.972 0.000 0.000 0.000 0.028
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 5 0.2157 0.66404 0.040 0.004 0.036 0.000 0.920
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.1041 0.82563 0.964 0.000 0.004 0.000 0.032
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 4 0.4284 0.55571 0.000 0.000 0.040 0.736 0.224
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 4 0.3565 0.64066 0.000 0.000 0.024 0.800 0.176
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 5 0.3310 0.66914 0.024 0.000 0.004 0.136 0.836
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 4 0.3452 0.54085 0.000 0.000 0.000 0.756 0.244
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 4 0.3243 0.63691 0.004 0.000 0.180 0.812 0.004
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 4 0.1341 0.72428 0.000 0.000 0.056 0.944 0.000
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.4548 0.69992 0.716 0.000 0.052 0.000 0.232
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.7046 0.03719 0.384 0.012 0.356 0.000 0.248
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 5 0.4972 0.57391 0.000 0.000 0.068 0.260 0.672
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.0000 0.89372 0.000 1.000 0.000 0.000 0.000
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.0000 0.89372 0.000 1.000 0.000 0.000 0.000
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 5 0.5576 0.35639 0.000 0.000 0.076 0.388 0.536
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.2017 0.75884 0.000 0.008 0.912 0.080 0.000
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.0798 0.88665 0.008 0.976 0.000 0.000 0.016
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 4 0.2813 0.64722 0.000 0.000 0.000 0.832 0.168
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 4 0.0162 0.72927 0.000 0.000 0.000 0.996 0.004
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.3003 0.68665 0.000 0.188 0.812 0.000 0.000
#> CA356591-D24F-41A8-8C9A-1178C7781510 4 0.1282 0.72677 0.000 0.000 0.004 0.952 0.044
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.2127 0.75360 0.000 0.000 0.892 0.000 0.108
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.1732 0.81828 0.920 0.000 0.000 0.000 0.080
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 6 0.2510 0.74394 0.008 0.000 0.088 0.016 0.004 0.884
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.2969 0.77173 0.008 0.064 0.872 0.000 0.036 0.020
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 6 0.6340 0.11285 0.080 0.000 0.024 0.408 0.036 0.452
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.0291 0.88602 0.000 0.992 0.000 0.004 0.004 0.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 6 0.7853 0.31132 0.320 0.000 0.148 0.120 0.044 0.368
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 5 0.5131 0.42467 0.180 0.160 0.008 0.000 0.652 0.000
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 6 0.3138 0.73464 0.000 0.000 0.060 0.096 0.004 0.840
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 4 0.5595 0.29200 0.000 0.000 0.000 0.464 0.144 0.392
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.2070 0.83598 0.000 0.892 0.000 0.000 0.008 0.100
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.0000 0.88570 0.000 1.000 0.000 0.000 0.000 0.000
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.0508 0.88574 0.000 0.984 0.000 0.012 0.004 0.000
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.2579 0.78102 0.000 0.000 0.872 0.088 0.040 0.000
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.4241 0.37432 0.656 0.000 0.316 0.000 0.016 0.012
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.0291 0.88676 0.000 0.992 0.000 0.004 0.000 0.004
#> ECB2DF14-CF68-44D4-8719-973AE448B992 4 0.5417 0.54211 0.016 0.000 0.216 0.624 0.144 0.000
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 6 0.4899 0.05330 0.000 0.000 0.000 0.060 0.452 0.488
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 3 0.2773 0.75646 0.004 0.000 0.836 0.008 0.152 0.000
#> 3282F146-2782-4877-9EFE-6020AC277A8C 6 0.0891 0.74175 0.000 0.000 0.000 0.024 0.008 0.968
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 4 0.4279 0.69226 0.004 0.000 0.000 0.740 0.152 0.104
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 5 0.5451 0.44764 0.000 0.176 0.060 0.100 0.664 0.000
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.0363 0.88546 0.000 0.988 0.012 0.000 0.000 0.000
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 5 0.3526 0.47525 0.000 0.004 0.020 0.156 0.804 0.016
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.0508 0.88564 0.000 0.984 0.000 0.012 0.004 0.000
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 5 0.5102 0.28841 0.068 0.000 0.308 0.016 0.608 0.000
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 4 0.1924 0.73312 0.000 0.000 0.028 0.920 0.048 0.004
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 4 0.2316 0.73845 0.000 0.004 0.064 0.900 0.028 0.004
#> C945DDA9-0194-46F4-89E2-13883284D5A4 4 0.5003 0.58929 0.000 0.000 0.044 0.660 0.044 0.252
#> 79B11925-9772-474F-A729-D00315959710 1 0.3619 0.49041 0.680 0.000 0.000 0.004 0.316 0.000
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 4 0.6093 0.33938 0.056 0.020 0.008 0.532 0.032 0.352
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 5 0.5059 0.41958 0.232 0.000 0.140 0.000 0.628 0.000
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 4 0.2738 0.73397 0.012 0.000 0.020 0.888 0.052 0.028
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.3745 0.61188 0.732 0.000 0.000 0.028 0.240 0.000
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 4 0.4849 0.66500 0.000 0.104 0.004 0.700 0.180 0.012
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 3 0.5133 0.40706 0.048 0.000 0.552 0.020 0.380 0.000
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.1826 0.78774 0.004 0.000 0.924 0.052 0.020 0.000
#> 26796E5F-C0C2-466C-9012-882F6D29C149 4 0.7015 0.28124 0.044 0.000 0.136 0.484 0.044 0.292
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 5 0.3997 0.00601 0.488 0.000 0.004 0.000 0.508 0.000
#> 1492D21A-6458-4B49-B530-7A327FCDD031 5 0.5002 0.49330 0.232 0.000 0.000 0.040 0.672 0.056
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 4 0.6016 0.56990 0.184 0.000 0.000 0.604 0.144 0.068
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 6 0.3458 0.67107 0.000 0.000 0.000 0.112 0.080 0.808
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.3693 0.54311 0.708 0.000 0.000 0.004 0.280 0.008
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 5 0.4229 0.33649 0.000 0.000 0.040 0.292 0.668 0.000
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.1643 0.86286 0.008 0.924 0.000 0.068 0.000 0.000
#> E846120D-D9E6-46F8-9647-2272AB064072 1 0.4923 0.22992 0.560 0.000 0.368 0.000 0.072 0.000
#> 36880C8C-91A9-49A9-A2D5-957161737F31 2 0.1471 0.86227 0.064 0.932 0.000 0.000 0.004 0.000
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.0291 0.88605 0.004 0.992 0.000 0.000 0.004 0.000
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 1 0.4794 0.21831 0.556 0.404 0.000 0.020 0.016 0.004
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 5 0.3453 0.52685 0.164 0.000 0.044 0.000 0.792 0.000
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 5 0.7192 0.21213 0.296 0.000 0.004 0.228 0.392 0.080
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 2 0.0405 0.88649 0.008 0.988 0.000 0.004 0.000 0.000
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 6 0.2178 0.72160 0.000 0.000 0.132 0.000 0.000 0.868
#> 116F3F29-AB89-4F00-9003-559041E285EB 6 0.2473 0.72995 0.000 0.000 0.136 0.000 0.008 0.856
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.0260 0.88631 0.000 0.992 0.000 0.000 0.008 0.000
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 1 0.7112 -0.16302 0.400 0.000 0.372 0.148 0.036 0.044
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 2 0.5205 0.35584 0.016 0.580 0.000 0.344 0.004 0.056
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 4 0.2001 0.73099 0.012 0.000 0.028 0.924 0.032 0.004
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 1 0.1524 0.67961 0.932 0.000 0.008 0.000 0.060 0.000
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 4 0.2364 0.72952 0.000 0.052 0.020 0.904 0.020 0.004
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 2 0.2357 0.82464 0.000 0.872 0.012 0.116 0.000 0.000
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.1267 0.67920 0.940 0.000 0.000 0.000 0.060 0.000
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 3 0.3860 0.73225 0.000 0.000 0.764 0.072 0.164 0.000
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.0146 0.88585 0.000 0.996 0.000 0.000 0.004 0.000
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 3 0.5176 0.38019 0.000 0.000 0.532 0.384 0.080 0.004
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 5 0.4124 0.50949 0.132 0.000 0.120 0.000 0.748 0.000
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 6 0.2077 0.74744 0.044 0.000 0.032 0.004 0.004 0.916
#> CD576099-5450-4232-9B59-08341BED8FFA 4 0.3909 0.70957 0.012 0.000 0.004 0.772 0.176 0.036
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 4 0.2263 0.73693 0.000 0.000 0.000 0.884 0.016 0.100
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 1 0.1421 0.65914 0.944 0.000 0.000 0.028 0.028 0.000
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 1 0.3499 0.47308 0.680 0.000 0.000 0.000 0.320 0.000
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#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 4 0.5636 0.59534 0.000 0.000 0.016 0.596 0.180 0.208
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 3 0.4431 0.61987 0.076 0.000 0.688 0.000 0.236 0.000
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 3 0.6178 0.25504 0.392 0.000 0.460 0.060 0.088 0.000
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 2 0.0260 0.88567 0.000 0.992 0.000 0.008 0.000 0.000
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 1 0.2889 0.66706 0.848 0.000 0.000 0.044 0.108 0.000
#> ED9794C0-AC60-4B54-8214-D26714871BBF 1 0.1010 0.67782 0.960 0.000 0.004 0.000 0.036 0.000
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 6 0.2527 0.70711 0.000 0.000 0.000 0.108 0.024 0.868
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 2 0.0458 0.88518 0.000 0.984 0.000 0.000 0.000 0.016
#> 18D816AF-394A-482F-B22E-896A43B1E481 2 0.0146 0.88577 0.000 0.996 0.000 0.004 0.000 0.000
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 1 0.5272 -0.03350 0.468 0.000 0.000 0.020 0.052 0.460
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 6 0.4390 0.19908 0.000 0.000 0.472 0.016 0.004 0.508
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 2 0.4348 0.54249 0.000 0.676 0.000 0.268 0.000 0.056
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 3 0.3144 0.74285 0.000 0.000 0.808 0.016 0.172 0.004
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 4 0.5027 0.59594 0.004 0.000 0.000 0.624 0.272 0.100
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 4 0.4781 0.65557 0.000 0.020 0.012 0.684 0.248 0.036
#> 7E809698-2473-4EFE-B896-1637983EC596 4 0.4799 0.68606 0.000 0.088 0.000 0.720 0.156 0.036
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 3 0.3924 0.73888 0.000 0.000 0.772 0.164 0.052 0.012
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 3 0.3548 0.74591 0.004 0.000 0.796 0.152 0.048 0.000
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 2 0.3819 0.49776 0.000 0.652 0.008 0.000 0.000 0.340
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.1346 0.65862 0.952 0.000 0.016 0.008 0.024 0.000
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.0725 0.67196 0.976 0.000 0.012 0.000 0.012 0.000
#> 73F28A79-7D35-4FE9-849D-FFE681483928 4 0.2924 0.71703 0.036 0.000 0.040 0.876 0.044 0.004
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 1 0.1895 0.64499 0.912 0.000 0.072 0.000 0.016 0.000
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 6 0.1814 0.73746 0.000 0.000 0.100 0.000 0.000 0.900
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 1 0.5607 -0.01731 0.448 0.000 0.408 0.000 0.144 0.000
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.1152 0.87632 0.000 0.952 0.000 0.000 0.004 0.044
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.2871 0.62908 0.804 0.000 0.000 0.004 0.192 0.000
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 1 0.4133 0.61807 0.776 0.000 0.004 0.040 0.148 0.032
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 5 0.3090 0.55980 0.140 0.000 0.004 0.028 0.828 0.000
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 5 0.6206 0.23291 0.288 0.000 0.268 0.000 0.436 0.008
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.2658 0.77880 0.000 0.000 0.864 0.100 0.036 0.000
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.2805 0.63508 0.812 0.000 0.000 0.004 0.184 0.000
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.0603 0.88515 0.000 0.980 0.000 0.016 0.004 0.000
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 4 0.1251 0.73881 0.000 0.000 0.008 0.956 0.024 0.012
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.1812 0.86166 0.060 0.924 0.008 0.004 0.004 0.000
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 4 0.7408 0.47072 0.108 0.120 0.152 0.556 0.036 0.028
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 6 0.1245 0.73843 0.000 0.000 0.000 0.032 0.016 0.952
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 5 0.5027 0.32662 0.068 0.000 0.004 0.000 0.552 0.376
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 6 0.2788 0.73841 0.056 0.000 0.016 0.044 0.004 0.880
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.1910 0.67141 0.892 0.000 0.000 0.000 0.108 0.000
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.3833 0.71343 0.028 0.000 0.772 0.180 0.020 0.000
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.5921 0.09218 0.460 0.000 0.240 0.000 0.300 0.000
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.4188 0.57819 0.712 0.048 0.000 0.004 0.236 0.000
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.3670 0.59492 0.736 0.000 0.024 0.000 0.240 0.000
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.0632 0.88302 0.000 0.976 0.000 0.000 0.000 0.024
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 4 0.2800 0.69788 0.004 0.000 0.100 0.860 0.036 0.000
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.2658 0.61436 0.864 0.000 0.000 0.100 0.036 0.000
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 4 0.4656 0.25268 0.008 0.004 0.012 0.524 0.448 0.004
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.2092 0.66726 0.876 0.000 0.000 0.000 0.124 0.000
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 4 0.4038 0.68177 0.016 0.000 0.008 0.776 0.040 0.160
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 4 0.4653 0.35460 0.000 0.004 0.008 0.580 0.024 0.384
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 4 0.3702 0.65175 0.000 0.000 0.004 0.720 0.264 0.012
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 6 0.2088 0.72533 0.000 0.000 0.000 0.068 0.028 0.904
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 6 0.2632 0.70022 0.004 0.000 0.164 0.000 0.000 0.832
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 6 0.1364 0.74563 0.004 0.000 0.048 0.004 0.000 0.944
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 5 0.4569 0.24150 0.396 0.000 0.040 0.000 0.564 0.000
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 5 0.5297 0.26890 0.364 0.004 0.096 0.000 0.536 0.000
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 4 0.1675 0.73535 0.000 0.000 0.024 0.936 0.032 0.008
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.0146 0.88585 0.000 0.996 0.000 0.000 0.004 0.000
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.0632 0.88322 0.000 0.976 0.000 0.024 0.000 0.000
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 4 0.4241 0.73345 0.000 0.000 0.036 0.776 0.104 0.084
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.2094 0.78033 0.000 0.004 0.912 0.060 0.004 0.020
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.0291 0.88624 0.004 0.992 0.000 0.000 0.004 0.000
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 6 0.3078 0.71064 0.000 0.000 0.012 0.112 0.032 0.844
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 6 0.0146 0.74271 0.000 0.000 0.004 0.000 0.000 0.996
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.3279 0.72434 0.008 0.148 0.816 0.000 0.028 0.000
#> CA356591-D24F-41A8-8C9A-1178C7781510 6 0.1346 0.74466 0.000 0.000 0.016 0.024 0.008 0.952
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.2506 0.78003 0.000 0.000 0.880 0.052 0.068 0.000
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.3619 0.48842 0.680 0.000 0.000 0.004 0.316 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["ATC", "hclust"]
# you can also extract it by
# res = res_list["ATC:hclust"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#> On a matrix with 17888 rows and 430 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 0.354 0.703 0.861 0.4570 0.502 0.502
#> 3 3 0.382 0.666 0.757 0.3681 0.701 0.479
#> 4 4 0.438 0.515 0.676 0.1328 0.785 0.476
#> 5 5 0.488 0.454 0.682 0.0708 0.834 0.504
#> 6 6 0.521 0.449 0.624 0.0463 0.911 0.672
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
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 1 0.9963 0.2062 0.536 0.464
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 1 0.0000 0.8092 1.000 0.000
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 2 0.4161 0.8265 0.084 0.916
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.3114 0.8354 0.056 0.944
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 1 0.9833 0.3412 0.576 0.424
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 2 0.9000 0.5482 0.316 0.684
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 1 0.9522 0.4916 0.628 0.372
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 2 0.1184 0.8384 0.016 0.984
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.3114 0.8350 0.056 0.944
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 1 0.9358 0.5322 0.648 0.352
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 1 0.9988 0.1405 0.520 0.480
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 1 0.0000 0.8092 1.000 0.000
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.3879 0.8018 0.924 0.076
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.2236 0.8389 0.036 0.964
#> ECB2DF14-CF68-44D4-8719-973AE448B992 2 0.9996 -0.0105 0.488 0.512
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 1 0.9491 0.4965 0.632 0.368
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 1 0.0000 0.8092 1.000 0.000
#> 3282F146-2782-4877-9EFE-6020AC277A8C 2 0.8763 0.6019 0.296 0.704
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 2 0.3274 0.8347 0.060 0.940
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 2 0.9775 0.3122 0.412 0.588
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.9963 0.1126 0.464 0.536
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 2 0.8813 0.5866 0.300 0.700
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.6247 0.7778 0.156 0.844
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 1 0.0376 0.8098 0.996 0.004
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 1 0.7528 0.7316 0.784 0.216
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 1 0.9710 0.4126 0.600 0.400
#> C945DDA9-0194-46F4-89E2-13883284D5A4 1 0.7815 0.7160 0.768 0.232
#> 79B11925-9772-474F-A729-D00315959710 2 0.1843 0.8389 0.028 0.972
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 2 0.0376 0.8358 0.004 0.996
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 1 0.0000 0.8092 1.000 0.000
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 2 0.9983 0.0599 0.476 0.524
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 2 0.0376 0.8359 0.004 0.996
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.2236 0.8379 0.036 0.964
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 1 0.0000 0.8092 1.000 0.000
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 1 0.0000 0.8092 1.000 0.000
#> 26796E5F-C0C2-466C-9012-882F6D29C149 1 0.9044 0.5978 0.680 0.320
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 0.8813 0.6272 0.700 0.300
#> 1492D21A-6458-4B49-B530-7A327FCDD031 2 0.2603 0.8383 0.044 0.956
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 2 0.0000 0.8345 0.000 1.000
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 2 0.5629 0.7987 0.132 0.868
#> B823982D-4102-4D21-B9CB-8C42830784F4 2 0.0000 0.8345 0.000 1.000
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 1 0.7602 0.7296 0.780 0.220
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.0000 0.8345 0.000 1.000
#> E846120D-D9E6-46F8-9647-2272AB064072 1 0.3879 0.8018 0.924 0.076
#> 36880C8C-91A9-49A9-A2D5-957161737F31 2 0.0672 0.8369 0.008 0.992
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.0000 0.8345 0.000 1.000
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#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 1 0.0000 0.8092 1.000 0.000
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.0672 0.8371 0.008 0.992
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 2 0.5737 0.7957 0.136 0.864
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 2 0.2778 0.8374 0.048 0.952
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 1 0.0000 0.8092 1.000 0.000
#> CA356591-D24F-41A8-8C9A-1178C7781510 1 0.8955 0.6038 0.688 0.312
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 1 0.0000 0.8092 1.000 0.000
#> 825309CC-4841-4475-BF77-8250C5EEADD8 2 0.0000 0.8345 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 2 0.4094 0.69040 0.100 0.872 0.028
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.1753 0.89899 0.000 0.048 0.952
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 1 0.6008 0.63846 0.628 0.372 0.000
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 1 0.5706 0.71116 0.680 0.320 0.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 2 0.4058 0.69864 0.076 0.880 0.044
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 2 0.6033 0.37045 0.336 0.660 0.004
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 2 0.4443 0.71029 0.052 0.864 0.084
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 1 0.3340 0.80691 0.880 0.120 0.000
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 1 0.5497 0.73721 0.708 0.292 0.000
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.4092 0.70776 0.036 0.876 0.088
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.4196 0.68554 0.112 0.864 0.024
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.0000 0.89454 0.000 0.000 1.000
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 3 0.6026 0.48867 0.000 0.376 0.624
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 1 0.5254 0.76230 0.736 0.264 0.000
#> ECB2DF14-CF68-44D4-8719-973AE448B992 2 0.5060 0.66359 0.156 0.816 0.028
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 2 0.4339 0.70864 0.048 0.868 0.084
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 3 0.0747 0.89927 0.000 0.016 0.984
#> 3282F146-2782-4877-9EFE-6020AC277A8C 2 0.6566 0.19793 0.376 0.612 0.012
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 1 0.5291 0.76353 0.732 0.268 0.000
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 2 0.5024 0.57717 0.220 0.776 0.004
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.4233 0.64342 0.160 0.836 0.004
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 2 0.6081 0.32110 0.344 0.652 0.004
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 1 0.6309 0.34138 0.500 0.500 0.000
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 3 0.4002 0.83862 0.000 0.160 0.840
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 2 0.4796 0.58679 0.000 0.780 0.220
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 2 0.5346 0.70747 0.088 0.824 0.088
#> C945DDA9-0194-46F4-89E2-13883284D5A4 2 0.4346 0.61996 0.000 0.816 0.184
#> 79B11925-9772-474F-A729-D00315959710 1 0.4702 0.78903 0.788 0.212 0.000
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 1 0.4002 0.81010 0.840 0.160 0.000
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 3 0.3551 0.86143 0.000 0.132 0.868
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 2 0.4862 0.65626 0.160 0.820 0.020
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.2448 0.80307 0.924 0.076 0.000
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 1 0.4796 0.78900 0.780 0.220 0.000
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 3 0.3619 0.86021 0.000 0.136 0.864
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.0000 0.89454 0.000 0.000 1.000
#> 26796E5F-C0C2-466C-9012-882F6D29C149 2 0.5307 0.69455 0.048 0.816 0.136
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 2 0.5678 0.64751 0.032 0.776 0.192
#> 1492D21A-6458-4B49-B530-7A327FCDD031 1 0.4887 0.78648 0.772 0.228 0.000
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 1 0.0747 0.76453 0.984 0.016 0.000
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 1 0.6235 0.50725 0.564 0.436 0.000
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.0747 0.76358 0.984 0.016 0.000
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 2 0.5156 0.60437 0.008 0.776 0.216
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 1 0.3192 0.80996 0.888 0.112 0.000
#> E846120D-D9E6-46F8-9647-2272AB064072 3 0.6026 0.48867 0.000 0.376 0.624
#> 36880C8C-91A9-49A9-A2D5-957161737F31 1 0.4235 0.80617 0.824 0.176 0.000
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 1 0.3192 0.80904 0.888 0.112 0.000
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 1 0.2165 0.79605 0.936 0.064 0.000
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 2 0.4842 0.59396 0.000 0.776 0.224
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 1 0.3879 0.80813 0.848 0.152 0.000
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 1 0.4178 0.80736 0.828 0.172 0.000
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 2 0.6252 0.56133 0.024 0.708 0.268
#> 116F3F29-AB89-4F00-9003-559041E285EB 2 0.3583 0.70446 0.044 0.900 0.056
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.3356 0.70584 0.036 0.908 0.056
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 2 0.4443 0.70853 0.052 0.864 0.084
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 1 0.6260 0.49777 0.552 0.448 0.000
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 1 0.5988 0.62120 0.632 0.368 0.000
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 2 0.6565 0.09756 0.416 0.576 0.008
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 2 0.4676 0.68700 0.112 0.848 0.040
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 3 0.3340 0.86180 0.000 0.120 0.880
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.0592 0.75611 0.988 0.012 0.000
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 3 0.3038 0.88079 0.000 0.104 0.896
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 1 0.4931 0.78194 0.768 0.232 0.000
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 3 0.3116 0.87870 0.000 0.108 0.892
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 2 0.5656 0.51596 0.004 0.712 0.284
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 2 0.5159 0.68126 0.140 0.820 0.040
#> CD576099-5450-4232-9B59-08341BED8FFA 1 0.5785 0.69060 0.668 0.332 0.000
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 2 0.5486 0.61556 0.196 0.780 0.024
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 1 0.4002 0.80784 0.840 0.160 0.000
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 2 0.5656 0.47549 0.284 0.712 0.004
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 2 0.6330 0.13421 0.396 0.600 0.004
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 2 0.4059 0.67293 0.128 0.860 0.012
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 3 0.4291 0.81178 0.000 0.180 0.820
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 1 0.0592 0.75611 0.988 0.012 0.000
#> 57E380FC-B6AB-466F-9936-D52192888008 1 0.3619 0.81163 0.864 0.136 0.000
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 1 0.6308 0.35580 0.508 0.492 0.000
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 1 0.0592 0.75611 0.988 0.012 0.000
#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 2 0.3669 0.70554 0.040 0.896 0.064
#> 1D4F0B66-720D-484D-B8D5-2B290ED208A8 2 0.6899 0.32004 0.024 0.612 0.364
#> C886CA33-5080-4E3E-88A2-F9A3CF03A857 3 0.0892 0.89963 0.000 0.020 0.980
#> 9AC963E4-F82D-460E-9CAD-C651B879780A 1 0.5760 0.69880 0.672 0.328 0.000
#> 1B6CF403-D0AE-4FFE-A884-660A58F32660 2 0.4136 0.67572 0.116 0.864 0.020
#> B33316E1-11FD-4C10-956A-C9C6F78508C5 2 0.4413 0.68239 0.124 0.852 0.024
#> BB02EF6A-C57D-4A79-99C1-ED43A72FFAF7 2 0.6420 0.47999 0.288 0.688 0.024
#> 4DBA59AD-9393-4BE6-88CB-852C62C4A334 3 0.2448 0.89338 0.000 0.076 0.924
#> 7887EDC4-A0D7-4E57-B3A1-330A5683457D 1 0.5327 0.74773 0.728 0.272 0.000
#> 2CD3AC14-46FB-4260-AE5C-4305C68D49BC 1 0.5363 0.75130 0.724 0.276 0.000
#> BAB8FA79-208A-488D-B955-806263E5D6BB 1 0.4796 0.79180 0.780 0.220 0.000
#> 98C990E7-7E3B-4200-A88D-E641931302EA 1 0.4002 0.80784 0.840 0.160 0.000
#> 894EE382-5ACA-4DEB-9267-99ADBEF6DA19 1 0.6215 0.54007 0.572 0.428 0.000
#> 98795F95-D26D-438A-AF46-B3BC3553F020 3 0.0892 0.89963 0.000 0.020 0.980
#> 9AD4C328-1554-4C92-931C-30CE8F305FDE 2 0.6577 0.07855 0.420 0.572 0.008
#> 4D1518D9-D968-4E7F-A702-5157A1A2E83E 1 0.4235 0.80780 0.824 0.176 0.000
#> A6E8AF8C-5D7B-4197-990B-786A869ACB96 1 0.4121 0.80740 0.832 0.168 0.000
#> DF8B4E19-8C78-4A68-8FAE-DFF01076BC97 3 0.2537 0.89079 0.000 0.080 0.920
#> 8D2C608F-3280-4CA2-B996-9AE3DBDBBD28 3 0.0424 0.89690 0.000 0.008 0.992
#> E7BCBD8D-1219-4A99-948A-47A258A5CD8B 2 0.6026 0.24170 0.376 0.624 0.000
#> 2C9633A5-8ACB-4D16-8120-F098BA14BB04 1 0.2878 0.80586 0.904 0.096 0.000
#> 985D9304-E4DA-4038-B235-067CBFEAC902 1 0.4178 0.80468 0.828 0.172 0.000
#> D34CE243-6F4F-4158-9FC4-77E1640E8A91 1 0.5706 0.71199 0.680 0.320 0.000
#> 65131575-48D3-42C2-B411-3DB871EF5EE1 1 0.5905 0.66811 0.648 0.352 0.000
#> 1AE13DFA-670C-43EE-9898-8FA831AEDDB3 3 0.0237 0.89581 0.000 0.004 0.996
#> 3ACDCD29-1B8D-455D-9EE9-D6C903B16D09 1 0.2796 0.80575 0.908 0.092 0.000
#> C6FBC35B-0113-4F00-BE1A-831D2C551055 2 0.6432 0.03640 0.428 0.568 0.004
#> A8F3285D-A85E-4E73-9D20-9D14AA51916B 3 0.0237 0.89581 0.000 0.004 0.996
#> 51601A73-2D75-4056-AEBB-8FF8DB813450 3 0.0424 0.89749 0.000 0.008 0.992
#> 75021778-A96B-4F57-8C26-68E8F33D7EB7 1 0.5926 0.66160 0.644 0.356 0.000
#> 71FFB439-22A1-4EBB-AEA6-A6BCA8CA6648 3 0.2066 0.89626 0.000 0.060 0.940
#> BEDB0135-0A26-44EF-9028-C4907403B110 2 0.5591 0.46453 0.000 0.696 0.304
#> 3B8BA56B-0E7B-4754-8729-8D613D0484E1 1 0.6154 0.51611 0.592 0.408 0.000
#> 100BF963-6103-45E6-A760-E44649580CF5 1 0.1529 0.78902 0.960 0.040 0.000
#> C26F21EA-5911-483F-BF64-03904BF93A20 2 0.5785 0.35508 0.332 0.668 0.000
#> 9E50162D-8149-41D2-86C1-1C892EB98DFA 1 0.5216 0.76898 0.740 0.260 0.000
#> 09521B29-B002-4AAD-93F1-6E600DD31515 2 0.3856 0.69886 0.072 0.888 0.040
#> 45FD44A6-7976-4453-BD3F-99D21DA3ECC2 3 0.6168 0.41030 0.000 0.412 0.588
#> 9EE0976F-1422-4F65-8837-93A192984CDF 3 0.0000 0.89454 0.000 0.000 1.000
#> 2FBAA1AA-39F7-4C58-A7DA-76B1F4B26B2E 1 0.1289 0.78119 0.968 0.032 0.000
#> B7A695A4-0B74-41E9-8662-4010C8CA38F0 1 0.4399 0.80145 0.812 0.188 0.000
#> E9013476-D037-41EA-921E-E9E62E93B75C 2 0.5968 0.27450 0.364 0.636 0.000
#> 13FD88E9-3B06-4CB6-949F-395DDDE4B75B 1 0.6204 0.52895 0.576 0.424 0.000
#> 9103E60E-D1FC-4F0F-B2CD-751921E14EBA 3 0.6204 0.37630 0.000 0.424 0.576
#> 4AEFB9F1-A55D-472E-A963-5BB3364D9D8C 1 0.5948 0.65300 0.640 0.360 0.000
#> 05B80211-2230-436E-BA34-FD48337A5DE0 2 0.6228 0.41107 0.316 0.672 0.012
#> 6B206166-85BC-4A1A-BDD2-B249652FC09E 1 0.3551 0.80900 0.868 0.132 0.000
#> 3EA60F08-5232-4A97-A656-2A0A2F5CED07 3 0.0237 0.89581 0.000 0.004 0.996
#> 9C55C086-682B-4D21-9C77-085CFE45A07E 2 0.5785 0.43725 0.300 0.696 0.004
#> B0CE5521-96E9-4087-89EE-309D785C0F96 3 0.1031 0.89912 0.000 0.024 0.976
#> 6BF76FE6-F1DA-48F2-B55D-CB106905EA8F 3 0.1163 0.90007 0.000 0.028 0.972
#> D2ECDADA-9D0D-4044-8C61-353CCE45C0E6 2 0.5905 0.30074 0.352 0.648 0.000
#> 9565D04D-EC61-4EF8-8519-0D84CFB0C794 1 0.1529 0.78637 0.960 0.040 0.000
#> EBAFE057-B387-4D2B-8D91-25C83221816D 1 0.3267 0.80967 0.884 0.116 0.000
#> 2CDB897D-ABAF-4EBB-837C-05CC7691D20E 1 0.5058 0.77668 0.756 0.244 0.000
#> FD2F4E8A-F89C-4016-B275-13FC6B4121E9 1 0.5138 0.76787 0.748 0.252 0.000
#> 1E27DDFF-D487-4CBF-80BC-506CC7C7C74D 2 0.5574 0.63933 0.184 0.784 0.032
#> 1DD990EF-74A8-4503-B801-C01D6C171E2E 2 0.3207 0.69656 0.012 0.904 0.084
#> 4D2DF3FF-343A-4D29-9230-015131B45BD2 2 0.6045 0.18835 0.380 0.620 0.000
#> B9949248-D762-4591-B8D6-C296C2B28D8C 3 0.0747 0.89933 0.000 0.016 0.984
#> 2D839843-4C8D-400D-8EFF-2BF9B94A27AA 2 0.4555 0.60585 0.000 0.800 0.200
#> 78C429CC-D631-43EA-9049-DAC326C98BDD 2 0.5660 0.62234 0.200 0.772 0.028
#> 71241674-DF93-4CA0-A81D-AF85B6479F62 2 0.6309 -0.33239 0.500 0.500 0.000
#> 76277FC9-E447-49A4-9407-81917C90ECBD 1 0.2165 0.79746 0.936 0.064 0.000
#> 79DE0216-2CBB-4057-AC90-0366A494F106 1 0.1031 0.77976 0.976 0.024 0.000
#> 3B842084-AE30-4666-B80A-8FA36EF628F3 2 0.6180 0.06999 0.416 0.584 0.000
#> 57200367-96F1-48B9-AB7F-DC11EFE866C4 2 0.4682 0.61252 0.192 0.804 0.004
#> 219B7654-6065-41D3-964B-C829364CD87B 3 0.0592 0.89859 0.000 0.012 0.988
#> 26923D9B-CE8E-400E-93CD-E0EE1401CB9D 1 0.6495 0.41606 0.536 0.460 0.004
#> 21B783EB-B0D0-4B28-9468-D0B130D13E26 2 0.4555 0.60781 0.000 0.800 0.200
#> 67D465A4-8068-4325-ABC5-5917B7D726BB 2 0.5111 0.67355 0.144 0.820 0.036
#> 30A8ABA0-ECB4-4B44-9630-5FFF862A157F 2 0.5092 0.64073 0.176 0.804 0.020
#> 71040F61-834D-4A75-960D-5DABBCADD3A0 1 0.5905 0.66094 0.648 0.352 0.000
#> A4EC5E62-AF75-435A-903F-D35B171CEA2C 1 0.5733 0.70350 0.676 0.324 0.000
#> 2F6A0808-8F01-4721-938D-F1FC7C5D8357 2 0.5988 0.32431 0.000 0.632 0.368
#> F1A142BF-9737-442D-B9A1-AA03958916D8 3 0.2165 0.89630 0.000 0.064 0.936
#> 2DC1CF96-6822-412A-B002-3DC1239D17A7 3 0.4887 0.75574 0.000 0.228 0.772
#> 9C57AC2A-83C8-41EB-8DC3-9A897D8F8110 2 0.5659 0.54955 0.248 0.740 0.012
#> D22198BE-2B03-4A06-9EB6-696B67E8CEFB 3 0.2625 0.89005 0.000 0.084 0.916
#> 68BACBAD-DC56-4ADF-BB44-86750A866657 1 0.4555 0.79816 0.800 0.200 0.000
#> 7DFBA494-6746-4FF7-9948-FC9BA297F499 1 0.3816 0.81041 0.852 0.148 0.000
#> 00B39945-A227-46EB-B737-27D12370FE6A 2 0.6172 0.43130 0.308 0.680 0.012
#> 6FA15950-94D4-4D46-A0E5-45D899089443 2 0.4346 0.62364 0.000 0.816 0.184
#> DE451B99-D33B-4A35-BB0E-AAED631B56C3 2 0.5760 0.42756 0.000 0.672 0.328
#> 1DE68F26-5F22-4B90-A0F4-4775865D5E35 1 0.6008 0.60377 0.628 0.372 0.000
#> 7E84698B-0394-4498-A8D4-F3F96F49E669 1 0.3482 0.81175 0.872 0.128 0.000
#> D29F2335-9151-406E-8C3A-58AA99B7EB69 3 0.1860 0.89678 0.000 0.052 0.948
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#> BA9ABEB1-D3F0-4F09-A647-25211C47C3D0 1 0.4178 0.80468 0.828 0.172 0.000
#> 9E41E79A-4028-4F60-8250-411F191B665C 1 0.1031 0.78000 0.976 0.024 0.000
#> 5F1D3EFD-ECDA-4C92-8D81-491484F09C95 2 0.5553 0.53032 0.004 0.724 0.272
#> 0DBA04CB-417D-4E2B-BE83-3563F45291C4 1 0.0747 0.76358 0.984 0.016 0.000
#> B9B882A5-194B-4F5C-B702-0CF71CA6D9D2 2 0.5810 0.35251 0.336 0.664 0.000
#> 67FE7638-B8F5-4631-B178-AC23B0382983 2 0.6307 -0.24121 0.488 0.512 0.000
#> FE03FC2C-9A4E-4F89-8681-E33DFECCC692 2 0.5202 0.60034 0.008 0.772 0.220
#> 2B22B4B7-8A39-435C-BE3B-86FA84C8F941 3 0.1163 0.89864 0.000 0.028 0.972
#> 00844B35-C108-4AEC-A687-4A91A2F33E6D 1 0.0424 0.75889 0.992 0.008 0.000
#> C221EE7A-6343-4B6D-B322-0A2C0F0B29AF 1 0.0424 0.75889 0.992 0.008 0.000
#> B28A6D56-7654-4829-BF1F-657C3C2C10D8 2 0.4861 0.63796 0.008 0.800 0.192
#> F4C7BCEC-3CD4-4D9A-89EA-0ED58EA0DCFE 1 0.0892 0.76309 0.980 0.020 0.000
#> F06FBFAB-D143-47AE-BEE7-51B48164764F 2 0.5754 0.49207 0.004 0.700 0.296
#> 525F522B-E865-4479-AE65-510903ABF46F 3 0.1163 0.89864 0.000 0.028 0.972
#> F0CB60E3-C412-46A2-918F-8C5C099AB224 1 0.3816 0.81091 0.852 0.148 0.000
#> 587F307F-6E1B-487E-8E47-A99AB43DC5B4 3 0.0747 0.89927 0.000 0.016 0.984
#> 883D9145-8414-4571-A3E1-516F03452C46 2 0.4645 0.65171 0.008 0.816 0.176
#> 4A917271-7EA0-4F43-B474-7F5EA756EB05 1 0.0592 0.75611 0.988 0.012 0.000
#> BB33015D-218C-4A1E-8839-95837D6E9B88 1 0.5968 0.63225 0.636 0.364 0.000
#> 021CC81F-710D-4EEA-B1D8-012A81715ACC 1 0.2165 0.79859 0.936 0.064 0.000
#> B00C4925-47E3-4442-ABEB-82D714A26587 2 0.5285 0.69968 0.112 0.824 0.064
#> F79B27D3-0426-47BB-9756-7E0759246E5E 2 0.5239 0.67503 0.032 0.808 0.160
#> 1F179559-D93E-491C-B499-64F86C31DAE0 2 0.5397 0.50295 0.000 0.720 0.280
#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 2 0.4974 0.57241 0.000 0.764 0.236
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 3 0.2356 0.89245 0.000 0.072 0.928
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 3 0.5098 0.72546 0.000 0.248 0.752
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 2 0.3207 0.69656 0.012 0.904 0.084
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 1 0.4178 0.80736 0.828 0.172 0.000
#> ED9794C0-AC60-4B54-8214-D26714871BBF 1 0.6244 0.47142 0.560 0.440 0.000
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 1 0.6095 0.60530 0.608 0.392 0.000
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 1 0.2625 0.80207 0.916 0.084 0.000
#> 18D816AF-394A-482F-B22E-896A43B1E481 1 0.5327 0.75353 0.728 0.272 0.000
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 1 0.0592 0.76202 0.988 0.012 0.000
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 3 0.0237 0.89581 0.000 0.004 0.996
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 2 0.6518 -0.27047 0.484 0.512 0.004
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 2 0.5785 0.41431 0.000 0.668 0.332
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 1 0.4654 0.79199 0.792 0.208 0.000
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 2 0.4676 0.68700 0.112 0.848 0.040
#> 7E809698-2473-4EFE-B896-1637983EC596 1 0.6045 0.62521 0.620 0.380 0.000
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 3 0.2448 0.89338 0.000 0.076 0.924
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 3 0.0000 0.89454 0.000 0.000 1.000
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 2 0.6267 0.07700 0.000 0.548 0.452
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.6267 0.45351 0.548 0.452 0.000
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.5733 0.70255 0.676 0.324 0.000
#> 73F28A79-7D35-4FE9-849D-FFE681483928 1 0.0892 0.77331 0.980 0.020 0.000
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 2 0.5631 0.66445 0.044 0.792 0.164
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 3 0.6126 0.42908 0.000 0.400 0.600
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 3 0.3192 0.87366 0.000 0.112 0.888
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.3851 0.66876 0.004 0.860 0.136
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.0592 0.75611 0.988 0.012 0.000
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 1 0.5621 0.70205 0.692 0.308 0.000
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 2 0.5414 0.60740 0.212 0.772 0.016
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 2 0.5754 0.49332 0.004 0.700 0.296
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.0424 0.89749 0.000 0.008 0.992
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.0592 0.75611 0.988 0.012 0.000
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 1 0.2796 0.80698 0.908 0.092 0.000
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 1 0.6460 0.48049 0.556 0.440 0.004
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.4629 0.63830 0.004 0.808 0.188
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 2 0.4172 0.64532 0.156 0.840 0.004
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 1 0.1643 0.78961 0.956 0.044 0.000
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 2 0.5365 0.53329 0.252 0.744 0.004
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 1 0.1529 0.78709 0.960 0.040 0.000
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.4750 0.79384 0.784 0.216 0.000
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.0892 0.89963 0.000 0.020 0.980
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 3 0.3116 0.87617 0.000 0.108 0.892
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.0592 0.75611 0.988 0.012 0.000
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 2 0.4912 0.61907 0.008 0.796 0.196
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 1 0.5591 0.72838 0.696 0.304 0.000
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 2 0.5785 0.41520 0.000 0.668 0.332
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.3941 0.80735 0.844 0.156 0.000
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 2 0.7016 0.67401 0.156 0.728 0.116
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.4555 0.79816 0.800 0.200 0.000
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 2 0.4682 0.61252 0.192 0.804 0.004
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 1 0.5785 0.69144 0.668 0.332 0.000
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 1 0.6062 0.61448 0.616 0.384 0.000
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 1 0.6079 0.60780 0.612 0.388 0.000
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 3 0.4291 0.81178 0.000 0.180 0.820
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 2 0.4269 0.70078 0.076 0.872 0.052
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 2 0.5363 0.52474 0.000 0.724 0.276
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 3 0.4002 0.83862 0.000 0.160 0.840
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 2 0.5028 0.68256 0.132 0.828 0.040
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 3 0.2448 0.88780 0.000 0.076 0.924
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.6247 0.21876 0.376 0.620 0.004
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 2 0.4555 0.60585 0.000 0.800 0.200
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.0747 0.89787 0.000 0.016 0.984
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 1 0.3941 0.80995 0.844 0.156 0.000
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 1 0.6215 0.52860 0.572 0.428 0.000
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 1 0.5678 0.71244 0.684 0.316 0.000
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.0892 0.89963 0.000 0.020 0.980
#> CA356591-D24F-41A8-8C9A-1178C7781510 2 0.3846 0.69340 0.016 0.876 0.108
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.0000 0.89454 0.000 0.000 1.000
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.0592 0.75611 0.988 0.012 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 4 0.5388 0.39678 0.012 0.456 0.000 0.532
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.2281 0.87536 0.000 0.000 0.904 0.096
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 2 0.6058 0.37051 0.296 0.632 0.000 0.072
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.5108 0.27519 0.308 0.672 0.000 0.020
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 4 0.5605 0.45892 0.008 0.408 0.012 0.572
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 2 0.7039 0.39174 0.144 0.540 0.000 0.316
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 4 0.5068 0.61759 0.012 0.308 0.004 0.676
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 1 0.5024 0.59397 0.632 0.360 0.000 0.008
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.5452 0.20046 0.360 0.616 0.000 0.024
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 4 0.4720 0.61727 0.000 0.324 0.004 0.672
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.5268 -0.23538 0.008 0.540 0.000 0.452
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.0524 0.87633 0.000 0.004 0.988 0.008
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 3 0.6273 0.31572 0.000 0.056 0.488 0.456
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.5371 0.13803 0.364 0.616 0.000 0.020
#> ECB2DF14-CF68-44D4-8719-973AE448B992 4 0.6443 0.12662 0.056 0.464 0.004 0.476
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 4 0.4872 0.58587 0.000 0.356 0.004 0.640
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 3 0.1489 0.88190 0.000 0.004 0.952 0.044
#> 3282F146-2782-4877-9EFE-6020AC277A8C 2 0.6338 0.54134 0.120 0.644 0.000 0.236
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 2 0.5453 0.05787 0.388 0.592 0.000 0.020
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 2 0.5929 0.21252 0.048 0.596 0.000 0.356
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.5827 -0.09153 0.032 0.532 0.000 0.436
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 2 0.6296 0.49052 0.112 0.644 0.000 0.244
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.4817 0.49787 0.128 0.784 0.000 0.088
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 3 0.4453 0.75705 0.000 0.012 0.744 0.244
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 4 0.3754 0.71268 0.000 0.084 0.064 0.852
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 4 0.5865 0.46526 0.008 0.392 0.024 0.576
#> C945DDA9-0194-46F4-89E2-13883284D5A4 4 0.3706 0.70895 0.000 0.112 0.040 0.848
#> 79B11925-9772-474F-A729-D00315959710 2 0.5597 -0.29105 0.464 0.516 0.000 0.020
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 1 0.5277 0.41829 0.532 0.460 0.000 0.008
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 3 0.3978 0.80905 0.000 0.012 0.796 0.192
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 2 0.5940 -0.14179 0.028 0.508 0.004 0.460
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.4040 0.69760 0.752 0.248 0.000 0.000
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.5483 -0.14669 0.448 0.536 0.000 0.016
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 3 0.4011 0.80554 0.000 0.008 0.784 0.208
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.0188 0.87387 0.000 0.004 0.996 0.000
#> 26796E5F-C0C2-466C-9012-882F6D29C149 4 0.5674 0.65725 0.004 0.284 0.044 0.668
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 4 0.5550 0.62662 0.000 0.248 0.060 0.692
#> 1492D21A-6458-4B49-B530-7A327FCDD031 1 0.5861 0.27456 0.492 0.476 0.000 0.032
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 1 0.2216 0.70100 0.908 0.092 0.000 0.000
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 2 0.5716 0.46469 0.212 0.700 0.000 0.088
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.1557 0.68201 0.944 0.056 0.000 0.000
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 4 0.5186 0.71814 0.000 0.164 0.084 0.752
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 1 0.4991 0.57878 0.608 0.388 0.000 0.004
#> E846120D-D9E6-46F8-9647-2272AB064072 3 0.6273 0.31572 0.000 0.056 0.488 0.456
#> 36880C8C-91A9-49A9-A2D5-957161737F31 2 0.5137 -0.19816 0.452 0.544 0.000 0.004
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 1 0.5080 0.51983 0.576 0.420 0.000 0.004
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 1 0.4313 0.70413 0.736 0.260 0.000 0.004
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 4 0.4541 0.67231 0.000 0.144 0.060 0.796
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 1 0.5236 0.48273 0.560 0.432 0.000 0.008
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 1 0.5592 0.47647 0.572 0.404 0.000 0.024
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 4 0.5883 0.70935 0.000 0.172 0.128 0.700
#> 116F3F29-AB89-4F00-9003-559041E285EB 4 0.4855 0.58727 0.004 0.352 0.000 0.644
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 4 0.4817 0.56921 0.000 0.388 0.000 0.612
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 4 0.5543 0.56198 0.000 0.360 0.028 0.612
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 2 0.5496 0.47760 0.188 0.724 0.000 0.088
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 2 0.6219 0.29116 0.344 0.588 0.000 0.068
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 2 0.7050 0.47003 0.172 0.564 0.000 0.264
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 4 0.5493 0.36840 0.016 0.456 0.000 0.528
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 3 0.3790 0.81840 0.000 0.016 0.820 0.164
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.0000 0.65356 1.000 0.000 0.000 0.000
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 3 0.3636 0.83795 0.000 0.008 0.820 0.172
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.5004 0.00622 0.392 0.604 0.000 0.004
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 3 0.3681 0.83453 0.000 0.008 0.816 0.176
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 4 0.4888 0.69790 0.000 0.096 0.124 0.780
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 2 0.5775 -0.30148 0.020 0.488 0.004 0.488
#> CD576099-5450-4232-9B59-08341BED8FFA 2 0.4963 0.32946 0.284 0.696 0.000 0.020
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 2 0.6182 -0.06930 0.052 0.520 0.000 0.428
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 1 0.4994 0.40892 0.520 0.480 0.000 0.000
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 2 0.6648 0.23944 0.092 0.536 0.000 0.372
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 2 0.6373 0.53057 0.148 0.652 0.000 0.200
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 2 0.5506 -0.22782 0.016 0.512 0.000 0.472
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 3 0.4737 0.73484 0.000 0.020 0.728 0.252
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 1 0.0000 0.65356 1.000 0.000 0.000 0.000
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#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.1545 0.88120 0.000 0.008 0.952 0.040
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 3 0.3751 0.81288 0.000 0.004 0.800 0.196
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.0000 0.65356 1.000 0.000 0.000 0.000
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 4 0.4677 0.66610 0.000 0.176 0.048 0.776
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.5271 0.25562 0.320 0.656 0.000 0.024
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 4 0.5314 0.67958 0.000 0.084 0.176 0.740
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.5143 0.59568 0.628 0.360 0.000 0.012
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 4 0.6534 0.49749 0.060 0.284 0.024 0.632
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 2 0.5285 -0.31094 0.468 0.524 0.000 0.008
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 2 0.5735 0.06711 0.032 0.576 0.000 0.392
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 2 0.4963 0.33131 0.284 0.696 0.000 0.020
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 2 0.4964 0.40972 0.244 0.724 0.000 0.032
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 2 0.5448 0.42153 0.244 0.700 0.000 0.056
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 3 0.4737 0.73484 0.000 0.020 0.728 0.252
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 4 0.5802 0.46850 0.008 0.404 0.020 0.568
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 4 0.5171 0.65803 0.000 0.128 0.112 0.760
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 3 0.4453 0.75705 0.000 0.012 0.744 0.244
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 4 0.5980 0.29916 0.024 0.456 0.008 0.512
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 3 0.2924 0.85808 0.000 0.016 0.884 0.100
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.6308 0.53313 0.136 0.656 0.000 0.208
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 4 0.3612 0.70929 0.000 0.100 0.044 0.856
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.1109 0.87763 0.000 0.004 0.968 0.028
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 1 0.4941 0.49863 0.564 0.436 0.000 0.000
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 2 0.5907 0.44424 0.252 0.668 0.000 0.080
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 2 0.5300 0.30142 0.308 0.664 0.000 0.028
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.1545 0.88120 0.000 0.008 0.952 0.040
#> CA356591-D24F-41A8-8C9A-1178C7781510 4 0.4748 0.66257 0.000 0.268 0.016 0.716
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.0188 0.87387 0.000 0.004 0.996 0.000
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.0000 0.65356 1.000 0.000 0.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 4 0.4289 0.55755 0.000 0.176 0.000 0.760 0.064
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.2825 0.82753 0.000 0.000 0.860 0.016 0.124
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 2 0.5081 0.59546 0.092 0.740 0.000 0.140 0.028
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.3561 0.58027 0.060 0.844 0.000 0.084 0.012
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 4 0.5460 0.50362 0.000 0.156 0.004 0.672 0.168
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 2 0.7072 -0.05903 0.032 0.424 0.000 0.380 0.164
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 4 0.4724 0.48337 0.000 0.104 0.000 0.732 0.164
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 2 0.4924 -0.08345 0.420 0.552 0.000 0.028 0.000
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.4006 0.57069 0.112 0.804 0.000 0.080 0.004
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 4 0.4450 0.48103 0.004 0.080 0.000 0.764 0.152
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 4 0.4769 0.55551 0.000 0.256 0.000 0.688 0.056
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.1041 0.84174 0.004 0.000 0.964 0.000 0.032
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 5 0.5693 0.08997 0.028 0.004 0.384 0.028 0.556
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.3787 0.55704 0.104 0.824 0.000 0.064 0.008
#> ECB2DF14-CF68-44D4-8719-973AE448B992 4 0.5884 0.51751 0.004 0.244 0.008 0.628 0.116
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 4 0.4422 0.50388 0.000 0.104 0.004 0.772 0.120
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 3 0.1670 0.84479 0.000 0.000 0.936 0.012 0.052
#> 3282F146-2782-4877-9EFE-6020AC277A8C 2 0.4981 0.22959 0.004 0.560 0.000 0.412 0.024
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 2 0.4311 0.54833 0.144 0.776 0.000 0.076 0.004
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 4 0.4921 0.42066 0.000 0.340 0.000 0.620 0.040
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 4 0.5005 0.53821 0.000 0.276 0.000 0.660 0.064
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 2 0.5831 0.00216 0.016 0.492 0.000 0.436 0.056
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.4505 0.51693 0.020 0.720 0.000 0.244 0.016
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 3 0.4716 0.62092 0.000 0.000 0.656 0.036 0.308
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 4 0.4990 0.01787 0.000 0.000 0.036 0.580 0.384
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 4 0.6130 0.48124 0.004 0.168 0.016 0.632 0.180
#> C945DDA9-0194-46F4-89E2-13883284D5A4 4 0.4706 0.13484 0.000 0.004 0.020 0.632 0.344
#> 79B11925-9772-474F-A729-D00315959710 2 0.5968 0.31052 0.260 0.628 0.000 0.040 0.072
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 2 0.4540 0.32870 0.268 0.700 0.000 0.024 0.008
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 3 0.4250 0.70877 0.000 0.000 0.720 0.028 0.252
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 4 0.5136 0.53371 0.000 0.260 0.000 0.660 0.080
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.4791 0.50472 0.588 0.392 0.000 0.008 0.012
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.4359 0.48202 0.188 0.756 0.000 0.052 0.004
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 3 0.4350 0.69433 0.000 0.000 0.704 0.028 0.268
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.0324 0.83786 0.004 0.000 0.992 0.000 0.004
#> 26796E5F-C0C2-466C-9012-882F6D29C149 4 0.5861 0.38514 0.000 0.096 0.028 0.648 0.228
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 5 0.6039 0.28196 0.028 0.056 0.004 0.344 0.568
#> 1492D21A-6458-4B49-B530-7A327FCDD031 2 0.5876 0.36019 0.280 0.620 0.000 0.068 0.032
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 1 0.3534 0.71198 0.744 0.256 0.000 0.000 0.000
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 2 0.4438 0.59106 0.032 0.732 0.000 0.228 0.008
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.2971 0.72798 0.836 0.156 0.000 0.000 0.008
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 4 0.5603 0.10037 0.000 0.024 0.044 0.596 0.336
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.4654 0.10140 0.348 0.632 0.000 0.012 0.008
#> E846120D-D9E6-46F8-9647-2272AB064072 5 0.5693 0.08997 0.028 0.004 0.384 0.028 0.556
#> 36880C8C-91A9-49A9-A2D5-957161737F31 2 0.3674 0.48881 0.148 0.816 0.000 0.024 0.012
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.4288 0.19765 0.324 0.664 0.000 0.012 0.000
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 1 0.4804 0.43242 0.524 0.460 0.000 0.008 0.008
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 5 0.5090 0.41614 0.028 0.012 0.004 0.308 0.648
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 2 0.5616 0.12611 0.360 0.576 0.000 0.024 0.040
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 2 0.5436 0.18405 0.356 0.588 0.000 0.040 0.016
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 4 0.6617 -0.21059 0.004 0.036 0.080 0.464 0.416
#> 116F3F29-AB89-4F00-9003-559041E285EB 4 0.4665 0.50800 0.000 0.112 0.000 0.740 0.148
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 4 0.4350 0.49278 0.016 0.104 0.000 0.792 0.088
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 4 0.6199 0.30511 0.020 0.104 0.000 0.568 0.308
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 2 0.3996 0.56821 0.008 0.752 0.000 0.228 0.012
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 2 0.5847 0.53810 0.160 0.652 0.000 0.172 0.016
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 2 0.6959 0.18289 0.044 0.500 0.000 0.320 0.136
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 4 0.5185 0.53996 0.004 0.220 0.000 0.684 0.092
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 3 0.4167 0.74719 0.004 0.000 0.788 0.072 0.136
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.1764 0.70150 0.928 0.064 0.000 0.000 0.008
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 3 0.4233 0.75325 0.000 0.000 0.748 0.044 0.208
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.3423 0.52900 0.108 0.844 0.000 0.040 0.008
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 3 0.4302 0.74784 0.000 0.000 0.744 0.048 0.208
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 5 0.6274 0.36503 0.008 0.016 0.072 0.420 0.484
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 4 0.4919 0.55391 0.004 0.228 0.000 0.700 0.068
#> CD576099-5450-4232-9B59-08341BED8FFA 2 0.2938 0.58730 0.032 0.876 0.000 0.084 0.008
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 4 0.5715 0.47119 0.004 0.332 0.000 0.576 0.088
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 2 0.5038 0.28980 0.276 0.672 0.000 0.020 0.032
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 2 0.7711 -0.11365 0.052 0.344 0.000 0.332 0.272
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 2 0.5021 0.30591 0.008 0.588 0.000 0.380 0.024
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 4 0.4855 0.55445 0.004 0.236 0.000 0.700 0.060
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 3 0.5337 0.61120 0.004 0.000 0.668 0.100 0.228
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 1 0.1764 0.70150 0.928 0.064 0.000 0.000 0.008
#> 57E380FC-B6AB-466F-9936-D52192888008 2 0.5020 -0.01729 0.408 0.564 0.000 0.016 0.012
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 2 0.4583 0.50279 0.012 0.696 0.000 0.272 0.020
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 1 0.1764 0.70150 0.928 0.064 0.000 0.000 0.008
#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 4 0.4704 0.50411 0.000 0.112 0.000 0.736 0.152
#> 1D4F0B66-720D-484D-B8D5-2B290ED208A8 4 0.7800 -0.12901 0.004 0.080 0.268 0.452 0.196
#> C886CA33-5080-4E3E-88A2-F9A3CF03A857 3 0.1628 0.84396 0.000 0.000 0.936 0.008 0.056
#> 9AC963E4-F82D-460E-9CAD-C651B879780A 2 0.3178 0.58709 0.048 0.860 0.000 0.088 0.004
#> 1B6CF403-D0AE-4FFE-A884-660A58F32660 4 0.5277 0.53005 0.000 0.228 0.000 0.664 0.108
#> B33316E1-11FD-4C10-956A-C9C6F78508C5 4 0.5216 0.52991 0.008 0.208 0.000 0.692 0.092
#> BB02EF6A-C57D-4A79-99C1-ED43A72FFAF7 4 0.5593 0.22269 0.008 0.440 0.000 0.500 0.052
#> 4DBA59AD-9393-4BE6-88CB-852C62C4A334 3 0.3773 0.79875 0.004 0.000 0.800 0.032 0.164
#> 7887EDC4-A0D7-4E57-B3A1-330A5683457D 2 0.6299 0.40262 0.268 0.592 0.000 0.108 0.032
#> 2CD3AC14-46FB-4260-AE5C-4305C68D49BC 2 0.3334 0.57159 0.080 0.852 0.000 0.064 0.004
#> BAB8FA79-208A-488D-B955-806263E5D6BB 2 0.4077 0.49826 0.172 0.780 0.000 0.044 0.004
#> 98C990E7-7E3B-4200-A88D-E641931302EA 2 0.5038 0.28980 0.276 0.672 0.000 0.020 0.032
#> 894EE382-5ACA-4DEB-9267-99ADBEF6DA19 2 0.4015 0.59438 0.016 0.768 0.000 0.204 0.012
#> 98795F95-D26D-438A-AF46-B3BC3553F020 3 0.1697 0.84428 0.000 0.000 0.932 0.008 0.060
#> 9AD4C328-1554-4C92-931C-30CE8F305FDE 2 0.6947 0.19681 0.044 0.504 0.000 0.316 0.136
#> 4D1518D9-D968-4E7F-A702-5157A1A2E83E 2 0.5161 0.33428 0.272 0.668 0.000 0.020 0.040
#> A6E8AF8C-5D7B-4197-990B-786A869ACB96 2 0.5699 0.08199 0.388 0.548 0.000 0.032 0.032
#> DF8B4E19-8C78-4A68-8FAE-DFF01076BC97 3 0.3616 0.79670 0.000 0.000 0.804 0.032 0.164
#> 8D2C608F-3280-4CA2-B996-9AE3DBDBBD28 3 0.0960 0.84137 0.004 0.000 0.972 0.008 0.016
#> E7BCBD8D-1219-4A99-948A-47A258A5CD8B 2 0.5849 0.02293 0.032 0.472 0.000 0.460 0.036
#> 2C9633A5-8ACB-4D16-8120-F098BA14BB04 2 0.4470 -0.07413 0.396 0.596 0.000 0.004 0.004
#> 985D9304-E4DA-4038-B235-067CBFEAC902 2 0.3544 0.42301 0.200 0.788 0.000 0.008 0.004
#> D34CE243-6F4F-4158-9FC4-77E1640E8A91 2 0.3154 0.58496 0.040 0.864 0.000 0.088 0.008
#> 65131575-48D3-42C2-B411-3DB871EF5EE1 2 0.3666 0.60093 0.040 0.824 0.000 0.128 0.008
#> 1AE13DFA-670C-43EE-9898-8FA831AEDDB3 3 0.1124 0.83897 0.004 0.000 0.960 0.000 0.036
#> 3ACDCD29-1B8D-455D-9EE9-D6C903B16D09 1 0.5164 0.47463 0.572 0.392 0.000 0.020 0.016
#> C6FBC35B-0113-4F00-BE1A-831D2C551055 2 0.6529 0.21092 0.048 0.516 0.000 0.360 0.076
#> A8F3285D-A85E-4E73-9D20-9D14AA51916B 3 0.0955 0.83727 0.004 0.000 0.968 0.000 0.028
#> 51601A73-2D75-4056-AEBB-8FF8DB813450 3 0.0955 0.84425 0.000 0.000 0.968 0.004 0.028
#> 75021778-A96B-4F57-8C26-68E8F33D7EB7 2 0.3182 0.59682 0.032 0.844 0.000 0.124 0.000
#> 71FFB439-22A1-4EBB-AEA6-A6BCA8CA6648 3 0.3243 0.79462 0.004 0.000 0.812 0.004 0.180
#> BEDB0135-0A26-44EF-9028-C4907403B110 4 0.5775 -0.24001 0.000 0.000 0.088 0.472 0.440
#> 3B8BA56B-0E7B-4754-8729-8D613D0484E1 2 0.7237 0.31806 0.176 0.536 0.000 0.076 0.212
#> 100BF963-6103-45E6-A760-E44649580CF5 1 0.4410 0.52679 0.556 0.440 0.000 0.000 0.004
#> C26F21EA-5911-483F-BF64-03904BF93A20 2 0.5156 0.02535 0.008 0.504 0.000 0.464 0.024
#> 9E50162D-8149-41D2-86C1-1C892EB98DFA 2 0.4237 0.55353 0.152 0.772 0.000 0.076 0.000
#> 09521B29-B002-4AAD-93F1-6E600DD31515 4 0.4930 0.51981 0.012 0.156 0.000 0.736 0.096
#> 45FD44A6-7976-4453-BD3F-99D21DA3ECC2 5 0.6712 0.39023 0.004 0.004 0.336 0.188 0.468
#> 9EE0976F-1422-4F65-8837-93A192984CDF 3 0.0324 0.83786 0.004 0.000 0.992 0.000 0.004
#> 2FBAA1AA-39F7-4C58-A7DA-76B1F4B26B2E 1 0.4171 0.60063 0.604 0.396 0.000 0.000 0.000
#> B7A695A4-0B74-41E9-8662-4010C8CA38F0 2 0.5455 0.21736 0.372 0.572 0.000 0.044 0.012
#> E9013476-D037-41EA-921E-E9E62E93B75C 2 0.7343 0.07965 0.052 0.448 0.000 0.328 0.172
#> 13FD88E9-3B06-4CB6-949F-395DDDE4B75B 2 0.3770 0.59812 0.016 0.788 0.000 0.188 0.008
#> 9103E60E-D1FC-4F0F-B2CD-751921E14EBA 5 0.6211 0.44403 0.012 0.000 0.296 0.128 0.564
#> 4AEFB9F1-A55D-472E-A963-5BB3364D9D8C 2 0.2984 0.59538 0.016 0.856 0.000 0.124 0.004
#> 05B80211-2230-436E-BA34-FD48337A5DE0 4 0.5366 0.18818 0.012 0.428 0.000 0.528 0.032
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#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.1764 0.70150 0.928 0.064 0.000 0.000 0.008
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 5 0.5607 0.48409 0.000 0.180 0.000 0.152 0.632 0.036
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.3930 0.78071 0.000 0.144 0.764 0.000 0.000 0.092
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 4 0.5537 0.56032 0.080 0.012 0.000 0.664 0.196 0.048
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 4 0.3366 0.57889 0.044 0.012 0.000 0.852 0.064 0.028
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 5 0.5193 0.40853 0.000 0.212 0.000 0.092 0.664 0.032
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 5 0.7156 0.22183 0.016 0.064 0.000 0.252 0.448 0.220
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 5 0.5781 0.20857 0.000 0.352 0.000 0.092 0.524 0.032
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 4 0.4444 0.01855 0.396 0.000 0.000 0.576 0.024 0.004
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 4 0.3342 0.57712 0.092 0.004 0.000 0.836 0.060 0.008
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 5 0.6033 0.21770 0.000 0.316 0.000 0.088 0.536 0.060
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 5 0.5965 0.53249 0.000 0.144 0.000 0.200 0.600 0.056
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.1633 0.81730 0.000 0.044 0.932 0.000 0.000 0.024
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 6 0.6120 0.22921 0.000 0.228 0.308 0.000 0.008 0.456
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 4 0.3350 0.56797 0.084 0.004 0.000 0.844 0.044 0.024
#> ECB2DF14-CF68-44D4-8719-973AE448B992 5 0.5654 0.52259 0.008 0.132 0.000 0.160 0.656 0.044
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 5 0.6162 0.28231 0.000 0.268 0.004 0.100 0.564 0.064
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 3 0.2318 0.81708 0.000 0.064 0.892 0.000 0.000 0.044
#> 3282F146-2782-4877-9EFE-6020AC277A8C 4 0.5569 0.00880 0.000 0.092 0.000 0.540 0.348 0.020
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 4 0.3860 0.56211 0.124 0.004 0.000 0.796 0.064 0.012
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 5 0.5282 0.56352 0.000 0.056 0.000 0.240 0.648 0.056
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 5 0.4349 0.55734 0.000 0.064 0.000 0.184 0.736 0.016
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 5 0.5867 0.34978 0.008 0.040 0.000 0.368 0.520 0.064
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 4 0.4279 0.44823 0.000 0.044 0.000 0.740 0.192 0.024
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 3 0.5451 0.57072 0.000 0.296 0.564 0.000 0.004 0.136
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 2 0.4463 0.52337 0.004 0.660 0.012 0.004 0.304 0.016
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 5 0.6412 0.31129 0.000 0.280 0.004 0.112 0.532 0.072
#> C945DDA9-0194-46F4-89E2-13883284D5A4 2 0.4386 0.46257 0.004 0.620 0.000 0.000 0.348 0.028
#> 79B11925-9772-474F-A729-D00315959710 4 0.7063 0.22319 0.236 0.000 0.000 0.460 0.124 0.180
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 4 0.4111 0.37370 0.244 0.000 0.000 0.716 0.012 0.028
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 3 0.4886 0.67388 0.000 0.252 0.648 0.000 0.004 0.096
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 5 0.5095 0.54291 0.000 0.100 0.000 0.176 0.688 0.036
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.5752 0.45275 0.576 0.008 0.000 0.308 0.040 0.068
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 4 0.4443 0.50149 0.172 0.008 0.000 0.748 0.044 0.028
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 3 0.5084 0.66152 0.000 0.264 0.612 0.000 0.000 0.124
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.0717 0.80988 0.000 0.008 0.976 0.000 0.000 0.016
#> 26796E5F-C0C2-466C-9012-882F6D29C149 5 0.5514 0.09027 0.000 0.380 0.004 0.068 0.528 0.020
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 6 0.6507 0.52881 0.000 0.248 0.004 0.020 0.288 0.440
#> 1492D21A-6458-4B49-B530-7A327FCDD031 4 0.6864 0.28258 0.268 0.012 0.000 0.500 0.140 0.080
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 1 0.3198 0.63819 0.740 0.000 0.000 0.260 0.000 0.000
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 4 0.4688 0.50097 0.024 0.016 0.000 0.696 0.240 0.024
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.3234 0.67872 0.836 0.004 0.000 0.120 0.012 0.028
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 2 0.5429 0.44154 0.000 0.572 0.016 0.028 0.348 0.036
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 4 0.4154 0.18971 0.324 0.000 0.000 0.652 0.004 0.020
#> E846120D-D9E6-46F8-9647-2272AB064072 6 0.6120 0.22921 0.000 0.228 0.308 0.000 0.008 0.456
#> 36880C8C-91A9-49A9-A2D5-957161737F31 4 0.4475 0.49840 0.124 0.004 0.000 0.764 0.052 0.056
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 4 0.3991 0.26165 0.300 0.000 0.000 0.680 0.012 0.008
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 1 0.4944 0.34827 0.500 0.008 0.000 0.456 0.012 0.024
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 6 0.5977 0.54742 0.000 0.336 0.004 0.000 0.204 0.456
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 4 0.6807 0.09905 0.336 0.008 0.000 0.456 0.080 0.120
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 4 0.6168 0.17982 0.332 0.008 0.000 0.524 0.052 0.084
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 2 0.7078 0.20312 0.000 0.420 0.052 0.020 0.332 0.176
#> 116F3F29-AB89-4F00-9003-559041E285EB 5 0.5538 0.31691 0.000 0.272 0.000 0.088 0.604 0.036
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 5 0.6189 0.30150 0.000 0.244 0.000 0.104 0.568 0.084
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 5 0.6225 0.23406 0.004 0.220 0.000 0.044 0.564 0.168
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 4 0.4206 0.48711 0.004 0.028 0.000 0.744 0.200 0.024
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 4 0.6619 0.46264 0.152 0.008 0.000 0.532 0.240 0.068
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 5 0.6978 0.21379 0.016 0.036 0.000 0.324 0.404 0.220
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 5 0.6482 0.42775 0.000 0.196 0.000 0.212 0.528 0.064
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 3 0.4503 0.73282 0.004 0.184 0.736 0.000 0.032 0.044
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.1426 0.64608 0.948 0.008 0.000 0.016 0.000 0.028
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 3 0.4729 0.71344 0.000 0.248 0.656 0.000 0.000 0.096
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 4 0.3516 0.54005 0.096 0.004 0.000 0.832 0.032 0.036
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 3 0.4750 0.70925 0.000 0.252 0.652 0.000 0.000 0.096
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 2 0.6509 0.32081 0.000 0.512 0.036 0.008 0.248 0.196
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 5 0.6113 0.50314 0.000 0.180 0.000 0.220 0.560 0.040
#> CD576099-5450-4232-9B59-08341BED8FFA 4 0.2503 0.58799 0.024 0.008 0.000 0.896 0.060 0.012
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 5 0.6569 0.46180 0.000 0.160 0.000 0.324 0.460 0.056
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 4 0.6490 0.25255 0.248 0.004 0.000 0.544 0.088 0.116
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 5 0.7021 -0.06633 0.024 0.052 0.000 0.148 0.420 0.356
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 4 0.5344 0.13927 0.004 0.056 0.000 0.576 0.340 0.024
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 5 0.5555 0.52663 0.000 0.120 0.000 0.204 0.636 0.040
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 3 0.5736 0.54338 0.000 0.304 0.556 0.000 0.024 0.116
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 1 0.1515 0.64777 0.944 0.008 0.000 0.020 0.000 0.028
#> 57E380FC-B6AB-466F-9936-D52192888008 4 0.5759 -0.01835 0.384 0.004 0.000 0.512 0.048 0.052
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 4 0.4791 0.37270 0.016 0.008 0.000 0.656 0.284 0.036
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 1 0.1426 0.64608 0.948 0.008 0.000 0.016 0.000 0.028
#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 5 0.5650 0.28833 0.000 0.284 0.000 0.088 0.588 0.040
#> 1D4F0B66-720D-484D-B8D5-2B290ED208A8 5 0.7960 -0.30546 0.000 0.276 0.204 0.052 0.372 0.096
#> C886CA33-5080-4E3E-88A2-F9A3CF03A857 3 0.2250 0.81654 0.000 0.064 0.896 0.000 0.000 0.040
#> 9AC963E4-F82D-460E-9CAD-C651B879780A 4 0.2392 0.58676 0.032 0.004 0.000 0.896 0.064 0.004
#> 1B6CF403-D0AE-4FFE-A884-660A58F32660 5 0.5179 0.50586 0.000 0.124 0.000 0.128 0.696 0.052
#> B33316E1-11FD-4C10-956A-C9C6F78508C5 5 0.5444 0.50278 0.004 0.128 0.000 0.120 0.684 0.064
#> BB02EF6A-C57D-4A79-99C1-ED43A72FFAF7 4 0.6149 -0.31494 0.004 0.112 0.000 0.460 0.392 0.032
#> 4DBA59AD-9393-4BE6-88CB-852C62C4A334 3 0.4294 0.76646 0.000 0.188 0.728 0.000 0.004 0.080
#> 7887EDC4-A0D7-4E57-B3A1-330A5683457D 4 0.6998 0.32551 0.264 0.008 0.000 0.476 0.164 0.088
#> 2CD3AC14-46FB-4260-AE5C-4305C68D49BC 4 0.3374 0.58031 0.068 0.008 0.000 0.848 0.052 0.024
#> BAB8FA79-208A-488D-B955-806263E5D6BB 4 0.3910 0.51617 0.156 0.004 0.000 0.784 0.036 0.020
#> 98C990E7-7E3B-4200-A88D-E641931302EA 4 0.6490 0.25255 0.248 0.004 0.000 0.544 0.088 0.116
#> 894EE382-5ACA-4DEB-9267-99ADBEF6DA19 4 0.3819 0.52971 0.012 0.024 0.000 0.768 0.192 0.004
#> 98795F95-D26D-438A-AF46-B3BC3553F020 3 0.2318 0.81696 0.000 0.064 0.892 0.000 0.000 0.044
#> 9AD4C328-1554-4C92-931C-30CE8F305FDE 5 0.6982 0.20453 0.016 0.036 0.000 0.328 0.400 0.220
#> 4D1518D9-D968-4E7F-A702-5157A1A2E83E 4 0.6507 0.28329 0.248 0.004 0.000 0.540 0.080 0.128
#> A6E8AF8C-5D7B-4197-990B-786A869ACB96 4 0.6614 -0.01996 0.380 0.004 0.000 0.436 0.092 0.088
#> DF8B4E19-8C78-4A68-8FAE-DFF01076BC97 3 0.4343 0.76770 0.000 0.188 0.724 0.000 0.004 0.084
#> 8D2C608F-3280-4CA2-B996-9AE3DBDBBD28 3 0.1829 0.81555 0.000 0.036 0.928 0.000 0.008 0.028
#> E7BCBD8D-1219-4A99-948A-47A258A5CD8B 5 0.6131 0.31713 0.028 0.032 0.000 0.404 0.476 0.060
#> 2C9633A5-8ACB-4D16-8120-F098BA14BB04 4 0.4513 0.04640 0.372 0.000 0.000 0.596 0.016 0.016
#> 985D9304-E4DA-4038-B235-067CBFEAC902 4 0.3288 0.45085 0.176 0.000 0.000 0.800 0.008 0.016
#> D34CE243-6F4F-4158-9FC4-77E1640E8A91 4 0.2709 0.58463 0.028 0.004 0.000 0.884 0.064 0.020
#> 65131575-48D3-42C2-B411-3DB871EF5EE1 4 0.3980 0.59857 0.032 0.008 0.000 0.796 0.128 0.036
#> 1AE13DFA-670C-43EE-9898-8FA831AEDDB3 3 0.1829 0.81233 0.000 0.056 0.920 0.000 0.000 0.024
#> 3ACDCD29-1B8D-455D-9EE9-D6C903B16D09 1 0.6126 0.44364 0.556 0.008 0.000 0.296 0.072 0.068
#> C6FBC35B-0113-4F00-BE1A-831D2C551055 5 0.6607 0.18406 0.036 0.036 0.000 0.376 0.460 0.092
#> A8F3285D-A85E-4E73-9D20-9D14AA51916B 3 0.1908 0.81091 0.000 0.056 0.916 0.000 0.000 0.028
#> 51601A73-2D75-4056-AEBB-8FF8DB813450 3 0.1492 0.81768 0.000 0.036 0.940 0.000 0.000 0.024
#> 75021778-A96B-4F57-8C26-68E8F33D7EB7 4 0.3358 0.59556 0.024 0.008 0.000 0.832 0.120 0.016
#> 71FFB439-22A1-4EBB-AEA6-A6BCA8CA6648 3 0.4074 0.75871 0.000 0.160 0.748 0.000 0.000 0.092
#> BEDB0135-0A26-44EF-9028-C4907403B110 2 0.4448 0.53348 0.000 0.724 0.040 0.000 0.204 0.032
#> 3B8BA56B-0E7B-4754-8729-8D613D0484E1 4 0.7740 0.20043 0.140 0.020 0.000 0.360 0.172 0.308
#> 100BF963-6103-45E6-A760-E44649580CF5 1 0.4305 0.43677 0.544 0.000 0.000 0.436 0.000 0.020
#> C26F21EA-5911-483F-BF64-03904BF93A20 4 0.5653 -0.21154 0.004 0.040 0.000 0.472 0.436 0.048
#> 9E50162D-8149-41D2-86C1-1C892EB98DFA 4 0.4636 0.55919 0.136 0.004 0.000 0.740 0.096 0.024
#> 09521B29-B002-4AAD-93F1-6E600DD31515 5 0.6339 0.36738 0.000 0.228 0.000 0.160 0.548 0.064
#> 45FD44A6-7976-4453-BD3F-99D21DA3ECC2 2 0.6375 0.18587 0.004 0.556 0.224 0.000 0.060 0.156
#> 9EE0976F-1422-4F65-8837-93A192984CDF 3 0.0717 0.80988 0.000 0.008 0.976 0.000 0.000 0.016
#> 2FBAA1AA-39F7-4C58-A7DA-76B1F4B26B2E 1 0.3774 0.49635 0.592 0.000 0.000 0.408 0.000 0.000
#> B7A695A4-0B74-41E9-8662-4010C8CA38F0 4 0.6513 0.14793 0.364 0.008 0.000 0.464 0.104 0.060
#> E9013476-D037-41EA-921E-E9E62E93B75C 5 0.6937 0.18332 0.024 0.032 0.000 0.216 0.456 0.272
#> 13FD88E9-3B06-4CB6-949F-395DDDE4B75B 4 0.3865 0.53331 0.008 0.012 0.000 0.772 0.184 0.024
#> 9103E60E-D1FC-4F0F-B2CD-751921E14EBA 2 0.6548 -0.08240 0.000 0.460 0.212 0.000 0.040 0.288
#> 4AEFB9F1-A55D-472E-A963-5BB3364D9D8C 4 0.2504 0.59204 0.012 0.004 0.000 0.876 0.104 0.004
#> 05B80211-2230-436E-BA34-FD48337A5DE0 5 0.5984 0.40060 0.016 0.068 0.000 0.380 0.504 0.032
#> 6B206166-85BC-4A1A-BDD2-B249652FC09E 4 0.6603 0.00183 0.368 0.004 0.000 0.444 0.068 0.116
#> 3EA60F08-5232-4A97-A656-2A0A2F5CED07 3 0.1789 0.81408 0.000 0.044 0.924 0.000 0.000 0.032
#> 9C55C086-682B-4D21-9C77-085CFE45A07E 5 0.5803 0.44836 0.008 0.036 0.000 0.328 0.556 0.072
#> B0CE5521-96E9-4087-89EE-309D785C0F96 3 0.2452 0.81008 0.000 0.084 0.884 0.000 0.004 0.028
#> 6BF76FE6-F1DA-48F2-B55D-CB106905EA8F 3 0.2351 0.81817 0.000 0.052 0.900 0.000 0.012 0.036
#> D2ECDADA-9D0D-4044-8C61-353CCE45C0E6 5 0.5573 0.25412 0.004 0.028 0.000 0.432 0.480 0.056
#> 9565D04D-EC61-4EF8-8519-0D84CFB0C794 1 0.3986 0.39992 0.532 0.000 0.000 0.464 0.000 0.004
#> EBAFE057-B387-4D2B-8D91-25C83221816D 4 0.4056 0.30048 0.276 0.000 0.000 0.696 0.012 0.016
#> 2CDB897D-ABAF-4EBB-837C-05CC7691D20E 4 0.6901 0.32265 0.252 0.012 0.000 0.504 0.148 0.084
#> FD2F4E8A-F89C-4016-B275-13FC6B4121E9 4 0.2615 0.55683 0.088 0.000 0.000 0.876 0.028 0.008
#> 1E27DDFF-D487-4CBF-80BC-506CC7C7C74D 5 0.5953 0.49200 0.000 0.172 0.000 0.268 0.540 0.020
#> 1DD990EF-74A8-4503-B801-C01D6C171E2E 5 0.5975 0.02307 0.000 0.376 0.000 0.048 0.492 0.084
#> 4D2DF3FF-343A-4D29-9230-015131B45BD2 4 0.4990 0.10007 0.000 0.048 0.000 0.552 0.388 0.012
#> B9949248-D762-4591-B8D6-C296C2B28D8C 3 0.2255 0.81780 0.000 0.080 0.892 0.000 0.000 0.028
#> 2D839843-4C8D-400D-8EFF-2BF9B94A27AA 2 0.4260 0.48131 0.004 0.640 0.000 0.000 0.332 0.024
#> 78C429CC-D631-43EA-9049-DAC326C98BDD 5 0.5796 0.55417 0.008 0.092 0.000 0.188 0.644 0.068
#> 71241674-DF93-4CA0-A81D-AF85B6479F62 4 0.4974 0.31124 0.016 0.008 0.000 0.624 0.312 0.040
#> 76277FC9-E447-49A4-9407-81917C90ECBD 1 0.5914 0.36833 0.520 0.004 0.000 0.360 0.052 0.064
#> 79DE0216-2CBB-4057-AC90-0366A494F106 1 0.4130 0.62582 0.700 0.000 0.000 0.264 0.008 0.028
#> 3B842084-AE30-4666-B80A-8FA36EF628F3 5 0.5819 0.15583 0.024 0.012 0.000 0.416 0.480 0.068
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#> F06FBFAB-D143-47AE-BEE7-51B48164764F 2 0.6431 0.31608 0.000 0.528 0.036 0.008 0.240 0.188
#> 525F522B-E865-4479-AE65-510903ABF46F 3 0.2504 0.80908 0.000 0.088 0.880 0.000 0.004 0.028
#> F0CB60E3-C412-46A2-918F-8C5C099AB224 4 0.5296 0.25429 0.320 0.004 0.000 0.596 0.052 0.028
#> 587F307F-6E1B-487E-8E47-A99AB43DC5B4 3 0.2376 0.81703 0.000 0.068 0.888 0.000 0.000 0.044
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#> 4A917271-7EA0-4F43-B474-7F5EA756EB05 1 0.1426 0.64608 0.948 0.008 0.000 0.016 0.000 0.028
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#> B00C4925-47E3-4442-ABEB-82D714A26587 5 0.6321 0.45479 0.004 0.208 0.004 0.164 0.572 0.048
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#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 5 0.5975 0.02307 0.000 0.376 0.000 0.048 0.492 0.084
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 4 0.6168 0.17982 0.332 0.008 0.000 0.524 0.052 0.084
#> ED9794C0-AC60-4B54-8214-D26714871BBF 4 0.6969 0.21585 0.044 0.008 0.000 0.400 0.244 0.304
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 4 0.3032 0.56750 0.004 0.004 0.000 0.840 0.128 0.024
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 4 0.4090 0.04836 0.384 0.000 0.000 0.604 0.008 0.004
#> 18D816AF-394A-482F-B22E-896A43B1E481 4 0.2788 0.57047 0.056 0.004 0.000 0.880 0.044 0.016
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 1 0.3166 0.67877 0.816 0.004 0.000 0.156 0.000 0.024
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 3 0.1908 0.81262 0.000 0.056 0.916 0.000 0.000 0.028
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 4 0.4505 0.40806 0.004 0.044 0.000 0.708 0.228 0.016
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 2 0.7022 0.33483 0.000 0.464 0.092 0.004 0.256 0.184
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 4 0.6548 0.28750 0.288 0.008 0.000 0.516 0.124 0.064
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 5 0.6482 0.42775 0.000 0.196 0.000 0.212 0.528 0.064
#> 7E809698-2473-4EFE-B896-1637983EC596 4 0.3476 0.56674 0.016 0.008 0.000 0.812 0.148 0.016
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 3 0.4414 0.75433 0.000 0.204 0.704 0.000 0.000 0.092
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 3 0.0993 0.81268 0.000 0.012 0.964 0.000 0.000 0.024
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 2 0.7314 0.31138 0.004 0.416 0.248 0.012 0.256 0.064
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 4 0.7062 0.21749 0.056 0.008 0.000 0.412 0.284 0.240
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 4 0.6851 0.36727 0.084 0.004 0.000 0.500 0.212 0.200
#> 73F28A79-7D35-4FE9-849D-FFE681483928 1 0.3101 0.67507 0.820 0.000 0.000 0.148 0.000 0.032
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 6 0.6565 0.39506 0.004 0.272 0.000 0.016 0.332 0.376
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 2 0.6844 0.14134 0.000 0.444 0.300 0.000 0.076 0.180
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 3 0.5011 0.64584 0.000 0.264 0.620 0.000 0.000 0.116
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 5 0.6534 -0.13967 0.000 0.412 0.032 0.044 0.436 0.076
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.1426 0.64608 0.948 0.008 0.000 0.016 0.000 0.028
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 4 0.7122 0.37513 0.228 0.004 0.000 0.460 0.204 0.104
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 5 0.6548 0.34650 0.012 0.080 0.000 0.156 0.572 0.180
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 2 0.6664 0.37992 0.004 0.516 0.044 0.008 0.248 0.180
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.1633 0.81733 0.000 0.044 0.932 0.000 0.000 0.024
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.1426 0.64608 0.948 0.008 0.000 0.016 0.000 0.028
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 4 0.4353 -0.00564 0.384 0.000 0.000 0.588 0.000 0.028
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 4 0.3965 0.48204 0.004 0.012 0.000 0.732 0.236 0.016
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.6772 0.13953 0.004 0.420 0.040 0.044 0.416 0.076
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 5 0.4229 0.55559 0.000 0.064 0.000 0.180 0.744 0.012
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 1 0.3854 0.40565 0.536 0.000 0.000 0.464 0.000 0.000
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 5 0.5721 0.53599 0.008 0.056 0.000 0.248 0.620 0.068
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 1 0.4195 0.43884 0.548 0.004 0.000 0.440 0.000 0.008
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 4 0.6656 0.32040 0.188 0.004 0.000 0.548 0.108 0.152
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.2250 0.81654 0.000 0.064 0.896 0.000 0.000 0.040
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 3 0.4910 0.67219 0.000 0.244 0.640 0.000 0.000 0.116
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.1426 0.64608 0.948 0.008 0.000 0.016 0.000 0.028
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 6 0.5948 0.57563 0.008 0.284 0.000 0.000 0.204 0.504
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 4 0.2737 0.57920 0.036 0.004 0.000 0.884 0.056 0.020
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 2 0.5480 0.53112 0.004 0.636 0.068 0.004 0.252 0.036
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.6729 0.17678 0.424 0.004 0.000 0.376 0.080 0.116
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 5 0.7358 0.07294 0.016 0.328 0.000 0.112 0.404 0.140
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 4 0.6685 0.30565 0.208 0.004 0.000 0.536 0.096 0.156
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 5 0.4812 0.56073 0.000 0.056 0.000 0.212 0.696 0.036
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 4 0.2462 0.58965 0.024 0.008 0.000 0.896 0.064 0.008
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 4 0.3248 0.57392 0.008 0.008 0.000 0.824 0.144 0.016
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 4 0.3362 0.57222 0.016 0.008 0.000 0.828 0.128 0.020
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 3 0.5770 0.53830 0.000 0.304 0.552 0.000 0.024 0.120
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 5 0.5332 0.39346 0.000 0.224 0.000 0.092 0.648 0.036
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 6 0.6214 0.52517 0.000 0.336 0.020 0.000 0.184 0.460
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 3 0.5451 0.57072 0.000 0.296 0.564 0.000 0.004 0.136
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 5 0.5420 0.50736 0.000 0.144 0.000 0.148 0.664 0.044
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 3 0.3824 0.77560 0.004 0.124 0.804 0.000 0.028 0.040
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 4 0.5593 0.04149 0.004 0.056 0.000 0.544 0.360 0.036
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 2 0.4154 0.48667 0.004 0.652 0.000 0.000 0.324 0.020
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.2164 0.81141 0.000 0.068 0.900 0.000 0.000 0.032
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 4 0.4402 0.27476 0.296 0.000 0.000 0.664 0.020 0.020
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 4 0.5252 0.52855 0.060 0.012 0.000 0.684 0.200 0.044
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 4 0.2885 0.59238 0.044 0.004 0.000 0.868 0.076 0.008
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.2318 0.81696 0.000 0.064 0.892 0.000 0.000 0.044
#> CA356591-D24F-41A8-8C9A-1178C7781510 5 0.5771 0.05730 0.000 0.392 0.004 0.052 0.504 0.048
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.0806 0.81098 0.000 0.008 0.972 0.000 0.000 0.020
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.1426 0.64608 0.948 0.008 0.000 0.016 0.000 0.028
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 17888 rows and 430 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 0.982 0.993 0.4726 0.529 0.529
#> 3 3 0.774 0.886 0.944 0.3922 0.686 0.469
#> 4 4 0.769 0.777 0.900 0.1330 0.784 0.467
#> 5 5 0.661 0.583 0.771 0.0618 0.866 0.547
#> 6 6 0.704 0.655 0.798 0.0420 0.914 0.626
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
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 2 0.0000 0.9917 0.000 1.000
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 1 0.0000 0.9940 1.000 0.000
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 2 0.0000 0.9917 0.000 1.000
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.0000 0.9917 0.000 1.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 2 0.0000 0.9917 0.000 1.000
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 2 0.0000 0.9917 0.000 1.000
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 1 0.9977 0.0932 0.528 0.472
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 2 0.0000 0.9917 0.000 1.000
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.0000 0.9917 0.000 1.000
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 1 0.0938 0.9829 0.988 0.012
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.0000 0.9917 0.000 1.000
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 1 0.0000 0.9940 1.000 0.000
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.0000 0.9940 1.000 0.000
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.0000 0.9917 0.000 1.000
#> ECB2DF14-CF68-44D4-8719-973AE448B992 2 0.9909 0.2081 0.444 0.556
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 2 0.0000 0.9917 0.000 1.000
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 1 0.0000 0.9940 1.000 0.000
#> 3282F146-2782-4877-9EFE-6020AC277A8C 2 0.0000 0.9917 0.000 1.000
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 2 0.0000 0.9917 0.000 1.000
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 2 0.0000 0.9917 0.000 1.000
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.0000 0.9917 0.000 1.000
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 2 0.0000 0.9917 0.000 1.000
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.0000 0.9917 0.000 1.000
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 1 0.0000 0.9940 1.000 0.000
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 1 0.0000 0.9940 1.000 0.000
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 2 0.0000 0.9917 0.000 1.000
#> C945DDA9-0194-46F4-89E2-13883284D5A4 1 0.0000 0.9940 1.000 0.000
#> 79B11925-9772-474F-A729-D00315959710 2 0.0000 0.9917 0.000 1.000
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 2 0.0000 0.9917 0.000 1.000
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 1 0.0000 0.9940 1.000 0.000
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 2 0.0000 0.9917 0.000 1.000
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 2 0.0000 0.9917 0.000 1.000
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.0000 0.9917 0.000 1.000
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 1 0.0000 0.9940 1.000 0.000
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 1 0.0000 0.9940 1.000 0.000
#> 26796E5F-C0C2-466C-9012-882F6D29C149 2 0.3733 0.9190 0.072 0.928
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 2 0.5408 0.8564 0.124 0.876
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#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 2 0.0000 0.9917 0.000 1.000
#> B823982D-4102-4D21-B9CB-8C42830784F4 2 0.0000 0.9917 0.000 1.000
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 2 0.5059 0.8723 0.112 0.888
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.0000 0.9917 0.000 1.000
#> E846120D-D9E6-46F8-9647-2272AB064072 1 0.0000 0.9940 1.000 0.000
#> 36880C8C-91A9-49A9-A2D5-957161737F31 2 0.0000 0.9917 0.000 1.000
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.0000 0.9917 0.000 1.000
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 2 0.0000 0.9917 0.000 1.000
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 1 0.0376 0.9904 0.996 0.004
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 2 0.0000 0.9917 0.000 1.000
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 2 0.0000 0.9917 0.000 1.000
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 1 0.0672 0.9867 0.992 0.008
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#> C1AEFA60-4226-4929-A709-A0F67DCD7838 2 0.0000 0.9917 0.000 1.000
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#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 1 0.0000 0.9940 1.000 0.000
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 2 0.0000 0.9917 0.000 1.000
#> 57E380FC-B6AB-466F-9936-D52192888008 2 0.0000 0.9917 0.000 1.000
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 2 0.0000 0.9917 0.000 1.000
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#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 2 0.7602 0.7203 0.220 0.780
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#> 79DE0216-2CBB-4057-AC90-0366A494F106 2 0.0000 0.9917 0.000 1.000
#> 3B842084-AE30-4666-B80A-8FA36EF628F3 2 0.0000 0.9917 0.000 1.000
#> 57200367-96F1-48B9-AB7F-DC11EFE866C4 2 0.0000 0.9917 0.000 1.000
#> 219B7654-6065-41D3-964B-C829364CD87B 1 0.0000 0.9940 1.000 0.000
#> 26923D9B-CE8E-400E-93CD-E0EE1401CB9D 2 0.0000 0.9917 0.000 1.000
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#> F3565161-FFBE-4138-9773-558DB386710C 2 0.0000 0.9917 0.000 1.000
#> BA9ABEB1-D3F0-4F09-A647-25211C47C3D0 2 0.0000 0.9917 0.000 1.000
#> 9E41E79A-4028-4F60-8250-411F191B665C 2 0.0000 0.9917 0.000 1.000
#> 5F1D3EFD-ECDA-4C92-8D81-491484F09C95 1 0.0376 0.9904 0.996 0.004
#> 0DBA04CB-417D-4E2B-BE83-3563F45291C4 2 0.0000 0.9917 0.000 1.000
#> B9B882A5-194B-4F5C-B702-0CF71CA6D9D2 2 0.0000 0.9917 0.000 1.000
#> 67FE7638-B8F5-4631-B178-AC23B0382983 2 0.0000 0.9917 0.000 1.000
#> FE03FC2C-9A4E-4F89-8681-E33DFECCC692 1 0.0000 0.9940 1.000 0.000
#> 2B22B4B7-8A39-435C-BE3B-86FA84C8F941 1 0.0000 0.9940 1.000 0.000
#> 00844B35-C108-4AEC-A687-4A91A2F33E6D 2 0.0000 0.9917 0.000 1.000
#> C221EE7A-6343-4B6D-B322-0A2C0F0B29AF 2 0.0000 0.9917 0.000 1.000
#> B28A6D56-7654-4829-BF1F-657C3C2C10D8 1 0.0000 0.9940 1.000 0.000
#> F4C7BCEC-3CD4-4D9A-89EA-0ED58EA0DCFE 2 0.0000 0.9917 0.000 1.000
#> F06FBFAB-D143-47AE-BEE7-51B48164764F 1 0.0000 0.9940 1.000 0.000
#> 525F522B-E865-4479-AE65-510903ABF46F 1 0.0000 0.9940 1.000 0.000
#> F0CB60E3-C412-46A2-918F-8C5C099AB224 2 0.0000 0.9917 0.000 1.000
#> 587F307F-6E1B-487E-8E47-A99AB43DC5B4 1 0.0000 0.9940 1.000 0.000
#> 883D9145-8414-4571-A3E1-516F03452C46 1 0.0000 0.9940 1.000 0.000
#> 4A917271-7EA0-4F43-B474-7F5EA756EB05 2 0.0000 0.9917 0.000 1.000
#> BB33015D-218C-4A1E-8839-95837D6E9B88 2 0.0000 0.9917 0.000 1.000
#> 021CC81F-710D-4EEA-B1D8-012A81715ACC 2 0.0000 0.9917 0.000 1.000
#> B00C4925-47E3-4442-ABEB-82D714A26587 2 0.0000 0.9917 0.000 1.000
#> F79B27D3-0426-47BB-9756-7E0759246E5E 1 0.0938 0.9829 0.988 0.012
#> 1F179559-D93E-491C-B499-64F86C31DAE0 1 0.0000 0.9940 1.000 0.000
#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 1 0.0000 0.9940 1.000 0.000
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 1 0.0000 0.9940 1.000 0.000
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 1 0.0000 0.9940 1.000 0.000
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 1 0.4022 0.9111 0.920 0.080
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 2 0.0000 0.9917 0.000 1.000
#> ED9794C0-AC60-4B54-8214-D26714871BBF 2 0.0000 0.9917 0.000 1.000
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 2 0.0000 0.9917 0.000 1.000
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 2 0.0000 0.9917 0.000 1.000
#> 18D816AF-394A-482F-B22E-896A43B1E481 2 0.0000 0.9917 0.000 1.000
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 2 0.0000 0.9917 0.000 1.000
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 1 0.0000 0.9940 1.000 0.000
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 2 0.0000 0.9917 0.000 1.000
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 1 0.0000 0.9940 1.000 0.000
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 2 0.0000 0.9917 0.000 1.000
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 2 0.0000 0.9917 0.000 1.000
#> 7E809698-2473-4EFE-B896-1637983EC596 2 0.0000 0.9917 0.000 1.000
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 1 0.0000 0.9940 1.000 0.000
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 1 0.0000 0.9940 1.000 0.000
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 1 0.0000 0.9940 1.000 0.000
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 2 0.0000 0.9917 0.000 1.000
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 2 0.0000 0.9917 0.000 1.000
#> 73F28A79-7D35-4FE9-849D-FFE681483928 2 0.0000 0.9917 0.000 1.000
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 2 0.0000 0.9917 0.000 1.000
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 1 0.0000 0.9940 1.000 0.000
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 1 0.0000 0.9940 1.000 0.000
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 1 0.0000 0.9940 1.000 0.000
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 2 0.0000 0.9917 0.000 1.000
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 2 0.0000 0.9917 0.000 1.000
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 2 0.0000 0.9917 0.000 1.000
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 1 0.0000 0.9940 1.000 0.000
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 1 0.0000 0.9940 1.000 0.000
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 2 0.0000 0.9917 0.000 1.000
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.0000 0.9917 0.000 1.000
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 2 0.0000 0.9917 0.000 1.000
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 1 0.0000 0.9940 1.000 0.000
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 2 0.0000 0.9917 0.000 1.000
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 2 0.0000 0.9917 0.000 1.000
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 2 0.0000 0.9917 0.000 1.000
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 2 0.0000 0.9917 0.000 1.000
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 2 0.0000 0.9917 0.000 1.000
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 1 0.0000 0.9940 1.000 0.000
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.0000 0.9940 1.000 0.000
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 2 0.0000 0.9917 0.000 1.000
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.0000 0.9940 1.000 0.000
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.0000 0.9917 0.000 1.000
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 1 0.0000 0.9940 1.000 0.000
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 2 0.0000 0.9917 0.000 1.000
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 2 0.0000 0.9917 0.000 1.000
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 2 0.0000 0.9917 0.000 1.000
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 2 0.0000 0.9917 0.000 1.000
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 2 0.0000 0.9917 0.000 1.000
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 2 0.0000 0.9917 0.000 1.000
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 2 0.0000 0.9917 0.000 1.000
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 1 0.0000 0.9940 1.000 0.000
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 1 0.0000 0.9940 1.000 0.000
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.0000 0.9940 1.000 0.000
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.0000 0.9940 1.000 0.000
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 1 0.0000 0.9940 1.000 0.000
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 1 0.0000 0.9940 1.000 0.000
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.0000 0.9917 0.000 1.000
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 1 0.0000 0.9940 1.000 0.000
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 1 0.0000 0.9940 1.000 0.000
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.0000 0.9917 0.000 1.000
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 2 0.0000 0.9917 0.000 1.000
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 2 0.0000 0.9917 0.000 1.000
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 1 0.0000 0.9940 1.000 0.000
#> CA356591-D24F-41A8-8C9A-1178C7781510 1 0.0000 0.9940 1.000 0.000
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 1 0.0000 0.9940 1.000 0.000
#> 825309CC-4841-4475-BF77-8250C5EEADD8 2 0.0000 0.9917 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 2 0.0000 0.9235 0.000 1.000 0.000
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.0000 0.9850 0.000 0.000 1.000
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 1 0.3482 0.8663 0.872 0.128 0.000
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.4887 0.6816 0.228 0.772 0.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 2 0.0000 0.9235 0.000 1.000 0.000
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 2 0.2165 0.8909 0.064 0.936 0.000
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 2 0.0000 0.9235 0.000 1.000 0.000
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 1 0.2796 0.8868 0.908 0.092 0.000
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 1 0.4121 0.8325 0.832 0.168 0.000
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.0000 0.9235 0.000 1.000 0.000
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.0000 0.9235 0.000 1.000 0.000
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.0000 0.9850 0.000 0.000 1.000
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 3 0.0000 0.9850 0.000 0.000 1.000
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 1 0.4654 0.7917 0.792 0.208 0.000
#> ECB2DF14-CF68-44D4-8719-973AE448B992 2 0.0000 0.9235 0.000 1.000 0.000
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 2 0.0000 0.9235 0.000 1.000 0.000
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 3 0.0000 0.9850 0.000 0.000 1.000
#> 3282F146-2782-4877-9EFE-6020AC277A8C 2 0.0000 0.9235 0.000 1.000 0.000
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 1 0.6215 0.3853 0.572 0.428 0.000
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 2 0.0000 0.9235 0.000 1.000 0.000
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.0000 0.9235 0.000 1.000 0.000
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 2 0.0000 0.9235 0.000 1.000 0.000
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.1411 0.9032 0.036 0.964 0.000
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 3 0.0000 0.9850 0.000 0.000 1.000
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 2 0.3816 0.8228 0.000 0.852 0.148
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 2 0.0000 0.9235 0.000 1.000 0.000
#> C945DDA9-0194-46F4-89E2-13883284D5A4 2 0.3340 0.8483 0.000 0.880 0.120
#> 79B11925-9772-474F-A729-D00315959710 1 0.0000 0.9177 1.000 0.000 0.000
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 1 0.3412 0.8689 0.876 0.124 0.000
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 3 0.0000 0.9850 0.000 0.000 1.000
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 2 0.1643 0.9034 0.044 0.956 0.000
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.0000 0.9177 1.000 0.000 0.000
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 1 0.3412 0.8689 0.876 0.124 0.000
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 3 0.0000 0.9850 0.000 0.000 1.000
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.0000 0.9850 0.000 0.000 1.000
#> 26796E5F-C0C2-466C-9012-882F6D29C149 2 0.0000 0.9235 0.000 1.000 0.000
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 2 0.3587 0.8652 0.088 0.892 0.020
#> 1492D21A-6458-4B49-B530-7A327FCDD031 1 0.0000 0.9177 1.000 0.000 0.000
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 1 0.0000 0.9177 1.000 0.000 0.000
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 2 0.3038 0.8455 0.104 0.896 0.000
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.0000 0.9177 1.000 0.000 0.000
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 2 0.0000 0.9235 0.000 1.000 0.000
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 1 0.2796 0.8868 0.908 0.092 0.000
#> E846120D-D9E6-46F8-9647-2272AB064072 3 0.0000 0.9850 0.000 0.000 1.000
#> 36880C8C-91A9-49A9-A2D5-957161737F31 1 0.3686 0.8570 0.860 0.140 0.000
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 1 0.2878 0.8850 0.904 0.096 0.000
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 1 0.0000 0.9177 1.000 0.000 0.000
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 2 0.4413 0.8057 0.008 0.832 0.160
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 1 0.6307 0.0163 0.512 0.488 0.000
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 1 0.0000 0.9177 1.000 0.000 0.000
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 2 0.0892 0.9155 0.000 0.980 0.020
#> 116F3F29-AB89-4F00-9003-559041E285EB 2 0.0000 0.9235 0.000 1.000 0.000
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.0000 0.9235 0.000 1.000 0.000
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 2 0.2878 0.8686 0.000 0.904 0.096
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 2 0.1860 0.8918 0.052 0.948 0.000
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 2 0.1753 0.8949 0.048 0.952 0.000
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 2 0.2356 0.8854 0.072 0.928 0.000
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 2 0.0000 0.9235 0.000 1.000 0.000
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 3 0.0000 0.9850 0.000 0.000 1.000
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.0000 0.9177 1.000 0.000 0.000
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 3 0.0000 0.9850 0.000 0.000 1.000
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 1 0.3116 0.8790 0.892 0.108 0.000
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 3 0.0000 0.9850 0.000 0.000 1.000
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 2 0.4702 0.7459 0.000 0.788 0.212
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 2 0.0000 0.9235 0.000 1.000 0.000
#> CD576099-5450-4232-9B59-08341BED8FFA 2 0.4555 0.7264 0.200 0.800 0.000
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 2 0.0000 0.9235 0.000 1.000 0.000
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 1 0.0000 0.9177 1.000 0.000 0.000
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 2 0.4796 0.7392 0.220 0.780 0.000
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 2 0.0000 0.9235 0.000 1.000 0.000
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 2 0.0000 0.9235 0.000 1.000 0.000
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 3 0.0000 0.9850 0.000 0.000 1.000
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 1 0.0000 0.9177 1.000 0.000 0.000
#> 57E380FC-B6AB-466F-9936-D52192888008 1 0.0000 0.9177 1.000 0.000 0.000
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 2 0.4235 0.7590 0.176 0.824 0.000
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 1 0.0000 0.9177 1.000 0.000 0.000
#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 2 0.0000 0.9235 0.000 1.000 0.000
#> 1D4F0B66-720D-484D-B8D5-2B290ED208A8 3 0.5968 0.3853 0.000 0.364 0.636
#> C886CA33-5080-4E3E-88A2-F9A3CF03A857 3 0.0000 0.9850 0.000 0.000 1.000
#> 9AC963E4-F82D-460E-9CAD-C651B879780A 1 0.4654 0.7917 0.792 0.208 0.000
#> 1B6CF403-D0AE-4FFE-A884-660A58F32660 2 0.0000 0.9235 0.000 1.000 0.000
#> B33316E1-11FD-4C10-956A-C9C6F78508C5 2 0.0237 0.9221 0.004 0.996 0.000
#> BB02EF6A-C57D-4A79-99C1-ED43A72FFAF7 2 0.0000 0.9235 0.000 1.000 0.000
#> 4DBA59AD-9393-4BE6-88CB-852C62C4A334 3 0.0000 0.9850 0.000 0.000 1.000
#> 7887EDC4-A0D7-4E57-B3A1-330A5683457D 1 0.0892 0.9098 0.980 0.020 0.000
#> 2CD3AC14-46FB-4260-AE5C-4305C68D49BC 1 0.2796 0.8868 0.908 0.092 0.000
#> BAB8FA79-208A-488D-B955-806263E5D6BB 1 0.4555 0.8005 0.800 0.200 0.000
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#> E87FB9EC-A661-41EA-A6E3-BEB629BB3309 3 0.0000 0.9850 0.000 0.000 1.000
#> 5B41C173-0A28-498B-8245-18C35D31ECCC 3 0.0000 0.9850 0.000 0.000 1.000
#> EE2DCABE-DDD1-4C21-9D42-2E12D2FE16C3 3 0.0000 0.9850 0.000 0.000 1.000
#> 7493CB4A-C641-42A4-9BE9-394F2AE9287D 1 0.0000 0.9177 1.000 0.000 0.000
#> 7AF6E8FF-2E16-4D5B-A475-8C2492BE0325 3 0.0000 0.9850 0.000 0.000 1.000
#> AF9B58D8-D875-412B-99F5-1E7768C18080 1 0.0000 0.9177 1.000 0.000 0.000
#> 0EEEDCFE-9FB9-4F12-9ADB-701AF3324B0F 3 0.0237 0.9816 0.000 0.004 0.996
#> F96A4D39-CA48-4D92-94D7-951B746407B5 3 0.0000 0.9850 0.000 0.000 1.000
#> DDB6A47A-3E0A-4738-9D1E-EAB8682485C3 2 0.0000 0.9235 0.000 1.000 0.000
#> 914276B4-F36B-49F9-8F2A-05296459F3EB 2 0.0000 0.9235 0.000 1.000 0.000
#> 94D3B158-1C7B-43A2-AE00-64E115344C52 1 0.3192 0.8766 0.888 0.112 0.000
#> 8A125E59-3E7E-4A77-9F5C-94AAD54C95E5 2 0.3116 0.8588 0.000 0.892 0.108
#> F1AD0BF7-6094-4B0D-9FE1-F8439124269A 1 0.0000 0.9177 1.000 0.000 0.000
#> 3F7EC434-13A6-46C4-8791-C8992192C3D6 2 0.3340 0.8285 0.120 0.880 0.000
#> 65D42DF3-62D8-4B1E-B6EB-A0FEEA01FD70 2 0.4002 0.8094 0.000 0.840 0.160
#> 7A42FA71-7FD7-47B6-842B-0BEF0ECD7FB5 1 0.0000 0.9177 1.000 0.000 0.000
#> 57F784E9-1827-476B-9AA6-524E842641EA 3 0.0000 0.9850 0.000 0.000 1.000
#> 5E79792E-CE89-4ECF-BD4E-B12877E63949 2 0.4235 0.7923 0.000 0.824 0.176
#> E9DB46D8-5CE4-472C-8F21-9180F2D4C880 2 0.0000 0.9235 0.000 1.000 0.000
#> 7C712EF3-7368-4D97-BB9A-717CF8522C7F 3 0.0000 0.9850 0.000 0.000 1.000
#> 30312D82-4966-4EAA-A067-F91852FA8663 2 0.0000 0.9235 0.000 1.000 0.000
#> ECC62CBA-16AB-45F0-9C5A-72F302B4A188 2 0.5138 0.6876 0.000 0.748 0.252
#> 5AF4899F-D8E1-4CB6-B3DC-F0C60C808838 2 0.6215 0.3026 0.000 0.572 0.428
#> BBCEA0D1-DE66-4C0C-8D3C-D1398D04B472 2 0.0000 0.9235 0.000 1.000 0.000
#> 154764CD-AC69-4F48-A212-8B27C076C91A 2 0.0000 0.9235 0.000 1.000 0.000
#> 33266777-E07B-49D0-9E24-2EDE2577CF16 2 0.4931 0.7227 0.232 0.768 0.000
#> 7DAE9720-3922-4680-9F95-75C029B7FDA9 3 0.0000 0.9850 0.000 0.000 1.000
#> 1BC2ECED-0425-4382-BB94-F57ED2687F18 1 0.4974 0.6787 0.764 0.236 0.000
#> 0901D931-77BE-47B0-AE5F-C26C6A144CA0 2 0.1643 0.9034 0.044 0.956 0.000
#> 77AFFD5F-F715-4242-95C9-5F36E061B3E2 1 0.3879 0.7978 0.848 0.152 0.000
#> FAB4A6D6-E978-4172-9FE1-79FC50C0F849 2 0.4504 0.7315 0.196 0.804 0.000
#> 32C4DF54-39DD-4F62-B938-82ED2A0E0FFD 1 0.0000 0.9177 1.000 0.000 0.000
#> 9911D83E-6DDF-4048-9A34-22BFA1D68BBD 3 0.0000 0.9850 0.000 0.000 1.000
#> 4BAC0A03-BB88-4D19-86F9-FF093330C9B3 2 0.4291 0.7888 0.000 0.820 0.180
#> 18F63ADA-1828-43DD-AE1F-F36706C204CD 3 0.0000 0.9850 0.000 0.000 1.000
#> 66729295-C0AA-42C7-92C9-05194EF02276 3 0.0000 0.9850 0.000 0.000 1.000
#> 4CCA3104-B557-403D-AC06-A6D4936DDC04 3 0.0000 0.9850 0.000 0.000 1.000
#> 77D4165E-7CB1-4D69-AFE5-C8D914531651 2 0.0000 0.9235 0.000 1.000 0.000
#> BA12A05A-622A-424D-8108-3F5916405EB0 3 0.0000 0.9850 0.000 0.000 1.000
#> DED4EA4D-9DC2-4419-83EC-2BFE75DC1830 2 0.0000 0.9235 0.000 1.000 0.000
#> 13A35364-57C5-4F5A-B077-3BA2689BFDD3 1 0.0000 0.9177 1.000 0.000 0.000
#> 2641B816-1D21-496E-85AD-1C690C9146A6 3 0.0000 0.9850 0.000 0.000 1.000
#> 96E2AD09-7287-4B91-840E-81444A61D56F 2 0.3116 0.8588 0.000 0.892 0.108
#> 62F3327F-FB16-4AD0-BCF5-B180F28281A9 1 0.2356 0.8950 0.928 0.072 0.000
#> 112F7032-0212-4939-9449-D67E3600CCD5 3 0.0000 0.9850 0.000 0.000 1.000
#> A3B4DE21-DDF0-4468-A300-7BECBAFD0BCD 1 0.0592 0.9133 0.988 0.012 0.000
#> 0A03E593-6931-419C-AE47-51D75185C2C0 2 0.3941 0.8135 0.000 0.844 0.156
#> 2416A3DC-A563-4FD1-A139-0E6EF7185211 1 0.3038 0.8811 0.896 0.104 0.000
#> 18B29573-822C-405F-B793-DBC8924866CE 1 0.4178 0.8286 0.828 0.172 0.000
#> 994EC227-B239-4CEE-AC96-EB5CC0AF583E 2 0.0237 0.9221 0.004 0.996 0.000
#> 950933A3-5757-4914-9DC5-C220C2A455FD 3 0.0000 0.9850 0.000 0.000 1.000
#> DBDFE95C-F941-407A-BE7D-D43D50143C4D 2 0.1529 0.9053 0.000 0.960 0.040
#> D024393C-29D0-41C4-AB86-7E94581FDD26 1 0.4702 0.7869 0.788 0.212 0.000
#> 4975AB35-93E5-400D-A429-CEA81BA89FFE 2 0.0000 0.9235 0.000 1.000 0.000
#> 666ADCA2-1AE4-4843-B1C8-8EE29C44AE74 2 0.5760 0.5522 0.328 0.672 0.000
#> A8F79C08-3943-4707-ADCB-890A955B5394 1 0.2356 0.8949 0.928 0.072 0.000
#> A81614ED-14CB-4EBC-988E-F67FBCBF62D8 2 0.0000 0.9235 0.000 1.000 0.000
#> E27E65C8-5B57-4C91-9D20-C075AEA2F2C5 2 0.2711 0.8733 0.088 0.912 0.000
#> 745F18CA-080D-42FE-BAA6-89AD7E3D3408 1 0.3412 0.8689 0.876 0.124 0.000
#> E755A625-799D-4A39-9D56-080228E0B669 2 0.0000 0.9235 0.000 1.000 0.000
#> 3D94EFB8-94D4-4FDE-97D8-18A159279996 3 0.0000 0.9850 0.000 0.000 1.000
#> 3D305C2E-6C86-4684-AA2A-155291AB4CC3 1 0.0000 0.9177 1.000 0.000 0.000
#> E140052A-5434-4C44-9873-0318D1D272CA 1 0.3116 0.8790 0.892 0.108 0.000
#> 68E56692-D46D-4A27-86CD-717E10AADDDA 3 0.0000 0.9850 0.000 0.000 1.000
#> 00A0586E-5F05-47B3-925C-87E811B0893B 3 0.0000 0.9850 0.000 0.000 1.000
#> E2B019A7-7C95-40FE-800C-D30E9730825C 2 0.4291 0.7878 0.180 0.820 0.000
#> 1B9ABB69-5CC6-4B6B-ABBC-71CC3274C7F0 1 0.0000 0.9177 1.000 0.000 0.000
#> FAE396AA-3C3C-4AF9-953D-385C41B2DB5B 1 0.0000 0.9177 1.000 0.000 0.000
#> 6BE4397D-1E5B-4486-83B4-EE0EC146C805 1 0.4654 0.7917 0.792 0.208 0.000
#> EE38BD4E-5A08-4639-912F-04203F53762F 1 0.0000 0.9177 1.000 0.000 0.000
#> 4050E7F8-80B6-46F2-8FF0-D4EC313E975B 2 0.3412 0.8445 0.000 0.876 0.124
#> F3565161-FFBE-4138-9773-558DB386710C 1 0.0000 0.9177 1.000 0.000 0.000
#> BA9ABEB1-D3F0-4F09-A647-25211C47C3D0 1 0.4654 0.7917 0.792 0.208 0.000
#> 9E41E79A-4028-4F60-8250-411F191B665C 1 0.0000 0.9177 1.000 0.000 0.000
#> 5F1D3EFD-ECDA-4C92-8D81-491484F09C95 2 0.2878 0.8686 0.000 0.904 0.096
#> 0DBA04CB-417D-4E2B-BE83-3563F45291C4 1 0.0000 0.9177 1.000 0.000 0.000
#> B9B882A5-194B-4F5C-B702-0CF71CA6D9D2 2 0.0000 0.9235 0.000 1.000 0.000
#> 67FE7638-B8F5-4631-B178-AC23B0382983 1 0.5621 0.5397 0.692 0.308 0.000
#> FE03FC2C-9A4E-4F89-8681-E33DFECCC692 2 0.3038 0.8622 0.000 0.896 0.104
#> 2B22B4B7-8A39-435C-BE3B-86FA84C8F941 3 0.0000 0.9850 0.000 0.000 1.000
#> 00844B35-C108-4AEC-A687-4A91A2F33E6D 1 0.0000 0.9177 1.000 0.000 0.000
#> C221EE7A-6343-4B6D-B322-0A2C0F0B29AF 1 0.0000 0.9177 1.000 0.000 0.000
#> B28A6D56-7654-4829-BF1F-657C3C2C10D8 2 0.3412 0.8452 0.000 0.876 0.124
#> F4C7BCEC-3CD4-4D9A-89EA-0ED58EA0DCFE 1 0.0000 0.9177 1.000 0.000 0.000
#> F06FBFAB-D143-47AE-BEE7-51B48164764F 3 0.2537 0.9040 0.000 0.080 0.920
#> 525F522B-E865-4479-AE65-510903ABF46F 3 0.0000 0.9850 0.000 0.000 1.000
#> F0CB60E3-C412-46A2-918F-8C5C099AB224 1 0.0000 0.9177 1.000 0.000 0.000
#> 587F307F-6E1B-487E-8E47-A99AB43DC5B4 3 0.0000 0.9850 0.000 0.000 1.000
#> 883D9145-8414-4571-A3E1-516F03452C46 2 0.3482 0.8413 0.000 0.872 0.128
#> 4A917271-7EA0-4F43-B474-7F5EA756EB05 1 0.0000 0.9177 1.000 0.000 0.000
#> BB33015D-218C-4A1E-8839-95837D6E9B88 1 0.0237 0.9169 0.996 0.004 0.000
#> 021CC81F-710D-4EEA-B1D8-012A81715ACC 1 0.0000 0.9177 1.000 0.000 0.000
#> B00C4925-47E3-4442-ABEB-82D714A26587 2 0.0000 0.9235 0.000 1.000 0.000
#> F79B27D3-0426-47BB-9756-7E0759246E5E 2 0.0000 0.9235 0.000 1.000 0.000
#> 1F179559-D93E-491C-B499-64F86C31DAE0 2 0.4702 0.7464 0.000 0.788 0.212
#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 2 0.3267 0.8518 0.000 0.884 0.116
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 3 0.0000 0.9850 0.000 0.000 1.000
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 3 0.0000 0.9850 0.000 0.000 1.000
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 2 0.0000 0.9235 0.000 1.000 0.000
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 1 0.0000 0.9177 1.000 0.000 0.000
#> ED9794C0-AC60-4B54-8214-D26714871BBF 1 0.1643 0.8970 0.956 0.044 0.000
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 2 0.2261 0.8788 0.068 0.932 0.000
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 1 0.2796 0.8868 0.908 0.092 0.000
#> 18D816AF-394A-482F-B22E-896A43B1E481 1 0.4654 0.7917 0.792 0.208 0.000
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 1 0.0000 0.9177 1.000 0.000 0.000
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 3 0.0000 0.9850 0.000 0.000 1.000
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 2 0.0424 0.9198 0.008 0.992 0.000
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 3 0.0237 0.9816 0.000 0.004 0.996
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 1 0.5138 0.7353 0.748 0.252 0.000
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 2 0.0000 0.9235 0.000 1.000 0.000
#> 7E809698-2473-4EFE-B896-1637983EC596 2 0.3192 0.8372 0.112 0.888 0.000
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 3 0.0000 0.9850 0.000 0.000 1.000
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 3 0.0000 0.9850 0.000 0.000 1.000
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 2 0.1529 0.9046 0.000 0.960 0.040
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.6291 0.0656 0.532 0.468 0.000
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.1860 0.8920 0.948 0.052 0.000
#> 73F28A79-7D35-4FE9-849D-FFE681483928 1 0.0000 0.9177 1.000 0.000 0.000
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 2 0.2711 0.8733 0.088 0.912 0.000
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 3 0.0000 0.9850 0.000 0.000 1.000
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 3 0.0000 0.9850 0.000 0.000 1.000
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.5905 0.4788 0.000 0.648 0.352
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.0000 0.9177 1.000 0.000 0.000
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 1 0.6295 0.1597 0.528 0.472 0.000
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 2 0.2959 0.8647 0.100 0.900 0.000
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 3 0.0424 0.9780 0.000 0.008 0.992
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.0000 0.9850 0.000 0.000 1.000
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.0000 0.9177 1.000 0.000 0.000
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 1 0.2796 0.8868 0.908 0.092 0.000
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 2 0.0000 0.9235 0.000 1.000 0.000
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.6095 0.3992 0.000 0.608 0.392
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 2 0.0000 0.9235 0.000 1.000 0.000
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 1 0.2537 0.8917 0.920 0.080 0.000
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 2 0.0000 0.9235 0.000 1.000 0.000
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 1 0.0237 0.9169 0.996 0.004 0.000
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.0000 0.9177 1.000 0.000 0.000
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.0000 0.9850 0.000 0.000 1.000
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 3 0.0000 0.9850 0.000 0.000 1.000
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.0000 0.9177 1.000 0.000 0.000
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 2 0.5443 0.6742 0.004 0.736 0.260
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.0747 0.9155 0.016 0.984 0.000
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 2 0.4796 0.7352 0.000 0.780 0.220
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.0000 0.9177 1.000 0.000 0.000
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 2 0.0000 0.9235 0.000 1.000 0.000
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.0000 0.9177 1.000 0.000 0.000
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 2 0.0000 0.9235 0.000 1.000 0.000
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 1 0.4654 0.7917 0.792 0.208 0.000
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 2 0.4555 0.7250 0.200 0.800 0.000
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 2 0.4504 0.7320 0.196 0.804 0.000
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 3 0.0000 0.9850 0.000 0.000 1.000
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 2 0.1411 0.9075 0.000 0.964 0.036
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 3 0.1289 0.9553 0.000 0.032 0.968
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 3 0.0000 0.9850 0.000 0.000 1.000
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 2 0.0892 0.9155 0.000 0.980 0.020
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 3 0.0000 0.9850 0.000 0.000 1.000
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.0000 0.9235 0.000 1.000 0.000
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 2 0.1753 0.9009 0.000 0.952 0.048
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.0000 0.9850 0.000 0.000 1.000
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 1 0.3116 0.8790 0.892 0.108 0.000
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 1 0.6295 0.2534 0.528 0.472 0.000
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 2 0.3941 0.7855 0.156 0.844 0.000
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.0000 0.9850 0.000 0.000 1.000
#> CA356591-D24F-41A8-8C9A-1178C7781510 2 0.0000 0.9235 0.000 1.000 0.000
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.0000 0.9850 0.000 0.000 1.000
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.0000 0.9177 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 2 0.2149 0.7830 0.000 0.912 0.000 0.088
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.0000 0.9845 0.000 0.000 1.000 0.000
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 2 0.0188 0.8126 0.004 0.996 0.000 0.000
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.0188 0.8153 0.000 0.996 0.000 0.004
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 4 0.0336 0.8696 0.000 0.008 0.000 0.992
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 4 0.4401 0.6371 0.004 0.272 0.000 0.724
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 4 0.3172 0.7487 0.000 0.160 0.000 0.840
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 2 0.4697 0.4051 0.356 0.644 0.000 0.000
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#> F3565161-FFBE-4138-9773-558DB386710C 1 0.0188 0.8826 0.996 0.004 0.000 0.000
#> BA9ABEB1-D3F0-4F09-A647-25211C47C3D0 2 0.0469 0.8093 0.012 0.988 0.000 0.000
#> 9E41E79A-4028-4F60-8250-411F191B665C 1 0.0188 0.8826 0.996 0.004 0.000 0.000
#> 5F1D3EFD-ECDA-4C92-8D81-491484F09C95 4 0.0000 0.8691 0.000 0.000 0.000 1.000
#> 0DBA04CB-417D-4E2B-BE83-3563F45291C4 1 0.0188 0.8826 0.996 0.004 0.000 0.000
#> B9B882A5-194B-4F5C-B702-0CF71CA6D9D2 2 0.1211 0.8062 0.000 0.960 0.000 0.040
#> 67FE7638-B8F5-4631-B178-AC23B0382983 1 0.6595 0.1966 0.492 0.428 0.000 0.080
#> FE03FC2C-9A4E-4F89-8681-E33DFECCC692 4 0.0188 0.8698 0.000 0.004 0.000 0.996
#> 2B22B4B7-8A39-435C-BE3B-86FA84C8F941 3 0.0000 0.9845 0.000 0.000 1.000 0.000
#> 00844B35-C108-4AEC-A687-4A91A2F33E6D 1 0.0188 0.8815 0.996 0.000 0.000 0.004
#> C221EE7A-6343-4B6D-B322-0A2C0F0B29AF 1 0.0188 0.8815 0.996 0.000 0.000 0.004
#> B28A6D56-7654-4829-BF1F-657C3C2C10D8 4 0.0188 0.8698 0.000 0.004 0.000 0.996
#> F4C7BCEC-3CD4-4D9A-89EA-0ED58EA0DCFE 1 0.0188 0.8826 0.996 0.004 0.000 0.000
#> F06FBFAB-D143-47AE-BEE7-51B48164764F 4 0.1211 0.8523 0.000 0.000 0.040 0.960
#> 525F522B-E865-4479-AE65-510903ABF46F 3 0.0000 0.9845 0.000 0.000 1.000 0.000
#> F0CB60E3-C412-46A2-918F-8C5C099AB224 1 0.2647 0.8177 0.880 0.120 0.000 0.000
#> 587F307F-6E1B-487E-8E47-A99AB43DC5B4 3 0.0000 0.9845 0.000 0.000 1.000 0.000
#> 883D9145-8414-4571-A3E1-516F03452C46 4 0.0188 0.8698 0.000 0.004 0.000 0.996
#> 4A917271-7EA0-4F43-B474-7F5EA756EB05 1 0.0188 0.8826 0.996 0.004 0.000 0.000
#> BB33015D-218C-4A1E-8839-95837D6E9B88 2 0.5155 0.0196 0.468 0.528 0.000 0.004
#> 021CC81F-710D-4EEA-B1D8-012A81715ACC 1 0.0188 0.8815 0.996 0.000 0.000 0.004
#> B00C4925-47E3-4442-ABEB-82D714A26587 4 0.1389 0.8555 0.000 0.048 0.000 0.952
#> F79B27D3-0426-47BB-9756-7E0759246E5E 4 0.2704 0.7879 0.000 0.124 0.000 0.876
#> 1F179559-D93E-491C-B499-64F86C31DAE0 4 0.0336 0.8679 0.000 0.000 0.008 0.992
#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 4 0.0188 0.8698 0.000 0.004 0.000 0.996
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 3 0.0000 0.9845 0.000 0.000 1.000 0.000
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 3 0.2469 0.8869 0.000 0.000 0.892 0.108
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 4 0.3172 0.7488 0.000 0.160 0.000 0.840
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 1 0.4584 0.5751 0.696 0.300 0.000 0.004
#> ED9794C0-AC60-4B54-8214-D26714871BBF 1 0.3791 0.7135 0.796 0.200 0.000 0.004
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 2 0.0188 0.8153 0.000 0.996 0.000 0.004
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 2 0.4877 0.2965 0.408 0.592 0.000 0.000
#> 18D816AF-394A-482F-B22E-896A43B1E481 2 0.0188 0.8126 0.004 0.996 0.000 0.000
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 1 0.0188 0.8826 0.996 0.004 0.000 0.000
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 3 0.0000 0.9845 0.000 0.000 1.000 0.000
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 2 0.0188 0.8153 0.000 0.996 0.000 0.004
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 4 0.1211 0.8523 0.000 0.000 0.040 0.960
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 2 0.0000 0.8141 0.000 1.000 0.000 0.000
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 4 0.4500 0.5334 0.000 0.316 0.000 0.684
#> 7E809698-2473-4EFE-B896-1637983EC596 2 0.0188 0.8153 0.000 0.996 0.000 0.004
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 3 0.0000 0.9845 0.000 0.000 1.000 0.000
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 3 0.0000 0.9845 0.000 0.000 1.000 0.000
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 4 0.4431 0.5048 0.000 0.304 0.000 0.696
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.6188 0.3065 0.548 0.396 0.000 0.056
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.3791 0.7135 0.796 0.200 0.000 0.004
#> 73F28A79-7D35-4FE9-849D-FFE681483928 1 0.0188 0.8826 0.996 0.004 0.000 0.000
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 4 0.0524 0.8686 0.004 0.008 0.000 0.988
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 3 0.2081 0.9134 0.000 0.000 0.916 0.084
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 3 0.0000 0.9845 0.000 0.000 1.000 0.000
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 4 0.3873 0.6509 0.000 0.228 0.000 0.772
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.0188 0.8826 0.996 0.004 0.000 0.000
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 2 0.3539 0.6622 0.176 0.820 0.000 0.004
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 4 0.5083 0.6540 0.036 0.248 0.000 0.716
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 4 0.0336 0.8679 0.000 0.000 0.008 0.992
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.0000 0.9845 0.000 0.000 1.000 0.000
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.0188 0.8826 0.996 0.004 0.000 0.000
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.4898 0.2225 0.416 0.584 0.000 0.000
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 2 0.1118 0.8077 0.000 0.964 0.000 0.036
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 4 0.4088 0.6745 0.000 0.004 0.232 0.764
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 2 0.4933 0.2328 0.000 0.568 0.000 0.432
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 1 0.4955 0.1829 0.556 0.444 0.000 0.000
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 4 0.3400 0.7567 0.000 0.180 0.000 0.820
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 1 0.2921 0.7921 0.860 0.140 0.000 0.000
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.0188 0.8815 0.996 0.000 0.000 0.004
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.0000 0.9845 0.000 0.000 1.000 0.000
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 3 0.0000 0.9845 0.000 0.000 1.000 0.000
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.0188 0.8826 0.996 0.004 0.000 0.000
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 4 0.1118 0.8531 0.036 0.000 0.000 0.964
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.0188 0.8153 0.000 0.996 0.000 0.004
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 4 0.0336 0.8679 0.000 0.000 0.008 0.992
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.1978 0.8509 0.928 0.068 0.000 0.004
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 4 0.0592 0.8676 0.000 0.016 0.000 0.984
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.0376 0.8811 0.992 0.004 0.000 0.004
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 2 0.1118 0.8077 0.000 0.964 0.000 0.036
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 2 0.0188 0.8126 0.004 0.996 0.000 0.000
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 2 0.0188 0.8153 0.000 0.996 0.000 0.004
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 2 0.0188 0.8153 0.000 0.996 0.000 0.004
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 3 0.0000 0.9845 0.000 0.000 1.000 0.000
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 4 0.0188 0.8698 0.000 0.004 0.000 0.996
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 4 0.1302 0.8496 0.000 0.000 0.044 0.956
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 3 0.0000 0.9845 0.000 0.000 1.000 0.000
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 4 0.0188 0.8698 0.000 0.004 0.000 0.996
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 3 0.0000 0.9845 0.000 0.000 1.000 0.000
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.1211 0.8062 0.000 0.960 0.000 0.040
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 4 0.0188 0.8698 0.000 0.004 0.000 0.996
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.0000 0.9845 0.000 0.000 1.000 0.000
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.3907 0.5931 0.232 0.768 0.000 0.000
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 2 0.0000 0.8141 0.000 1.000 0.000 0.000
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 2 0.0188 0.8153 0.000 0.996 0.000 0.004
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.0000 0.9845 0.000 0.000 1.000 0.000
#> CA356591-D24F-41A8-8C9A-1178C7781510 4 0.3172 0.7488 0.000 0.160 0.000 0.840
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.0000 0.9845 0.000 0.000 1.000 0.000
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.0188 0.8815 0.996 0.000 0.000 0.004
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 4 0.3636 0.58335 0.000 0.272 0.000 0.728 0.000
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.3366 0.76796 0.000 0.000 0.768 0.000 0.232
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 2 0.1478 0.78578 0.000 0.936 0.000 0.064 0.000
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.0404 0.80513 0.000 0.988 0.000 0.012 0.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 4 0.3304 0.50521 0.000 0.016 0.000 0.816 0.168
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 4 0.4945 0.16753 0.004 0.020 0.000 0.536 0.440
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 4 0.3536 0.56881 0.000 0.084 0.000 0.832 0.084
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 2 0.3661 0.55430 0.276 0.724 0.000 0.000 0.000
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.0703 0.79766 0.024 0.976 0.000 0.000 0.000
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 4 0.3767 0.58542 0.000 0.120 0.000 0.812 0.068
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 4 0.3630 0.60484 0.000 0.204 0.000 0.780 0.016
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.0510 0.89542 0.000 0.000 0.984 0.000 0.016
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 3 0.4304 0.29663 0.000 0.000 0.516 0.000 0.484
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.0162 0.80556 0.000 0.996 0.000 0.004 0.000
#> ECB2DF14-CF68-44D4-8719-973AE448B992 4 0.3932 0.30980 0.000 0.000 0.000 0.672 0.328
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 4 0.3366 0.59914 0.000 0.232 0.000 0.768 0.000
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 3 0.2329 0.85723 0.000 0.000 0.876 0.000 0.124
#> 3282F146-2782-4877-9EFE-6020AC277A8C 2 0.4302 -0.09961 0.000 0.520 0.000 0.480 0.000
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 2 0.0162 0.80556 0.000 0.996 0.000 0.004 0.000
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 4 0.4135 0.32968 0.000 0.004 0.000 0.656 0.340
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 4 0.4292 0.57781 0.000 0.272 0.000 0.704 0.024
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 4 0.6071 0.43730 0.000 0.236 0.000 0.572 0.192
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.1043 0.79825 0.000 0.960 0.000 0.040 0.000
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 3 0.4305 0.27718 0.000 0.000 0.512 0.000 0.488
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 5 0.3966 0.46804 0.000 0.000 0.000 0.336 0.664
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 4 0.4086 0.44260 0.000 0.024 0.000 0.736 0.240
#> C945DDA9-0194-46F4-89E2-13883284D5A4 4 0.3816 0.27696 0.000 0.000 0.000 0.696 0.304
#> 79B11925-9772-474F-A729-D00315959710 1 0.3841 0.76875 0.836 0.060 0.000 0.032 0.072
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 2 0.0290 0.80262 0.008 0.992 0.000 0.000 0.000
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 3 0.3774 0.66392 0.000 0.000 0.704 0.000 0.296
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 4 0.5870 0.23717 0.012 0.076 0.000 0.552 0.360
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.2829 0.78464 0.892 0.052 0.000 0.024 0.032
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.0963 0.79266 0.036 0.964 0.000 0.000 0.000
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 3 0.3561 0.72508 0.000 0.000 0.740 0.000 0.260
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.0000 0.89500 0.000 0.000 1.000 0.000 0.000
#> 26796E5F-C0C2-466C-9012-882F6D29C149 4 0.2932 0.55032 0.000 0.032 0.000 0.864 0.104
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 5 0.4074 0.18791 0.000 0.000 0.000 0.364 0.636
#> 1492D21A-6458-4B49-B530-7A327FCDD031 1 0.5280 0.70521 0.724 0.152 0.000 0.032 0.092
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 1 0.1197 0.77656 0.952 0.048 0.000 0.000 0.000
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 2 0.2179 0.73938 0.000 0.888 0.000 0.112 0.000
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.0162 0.79582 0.996 0.004 0.000 0.000 0.000
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 4 0.4114 0.22678 0.000 0.000 0.000 0.624 0.376
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.3876 0.48165 0.316 0.684 0.000 0.000 0.000
#> E846120D-D9E6-46F8-9647-2272AB064072 5 0.4287 -0.14188 0.000 0.000 0.460 0.000 0.540
#> 36880C8C-91A9-49A9-A2D5-957161737F31 2 0.0451 0.80329 0.004 0.988 0.000 0.008 0.000
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.3561 0.57966 0.260 0.740 0.000 0.000 0.000
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 1 0.3752 0.53602 0.708 0.292 0.000 0.000 0.000
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 5 0.2929 0.48676 0.000 0.000 0.000 0.180 0.820
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 2 0.8106 0.12736 0.164 0.420 0.000 0.164 0.252
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 2 0.5839 0.56268 0.108 0.700 0.000 0.100 0.092
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 5 0.4192 0.29077 0.000 0.000 0.000 0.404 0.596
#> 116F3F29-AB89-4F00-9003-559041E285EB 4 0.3116 0.56804 0.000 0.064 0.000 0.860 0.076
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 4 0.3366 0.59952 0.000 0.232 0.000 0.768 0.000
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 5 0.4302 0.08210 0.000 0.000 0.000 0.480 0.520
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 2 0.0794 0.80235 0.000 0.972 0.000 0.028 0.000
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 2 0.3171 0.70452 0.000 0.816 0.000 0.176 0.008
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 4 0.4420 0.16986 0.004 0.000 0.000 0.548 0.448
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 4 0.3461 0.60019 0.000 0.224 0.000 0.772 0.004
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 3 0.2110 0.87820 0.000 0.000 0.912 0.016 0.072
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.0324 0.79590 0.992 0.004 0.000 0.004 0.000
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 3 0.1608 0.88401 0.000 0.000 0.928 0.000 0.072
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.2127 0.74299 0.108 0.892 0.000 0.000 0.000
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 5 0.5009 -0.11193 0.000 0.000 0.428 0.032 0.540
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#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 3 0.0609 0.89508 0.000 0.000 0.980 0.000 0.020
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 2 0.1410 0.78461 0.000 0.940 0.000 0.060 0.000
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 5 0.3282 0.55261 0.000 0.000 0.008 0.188 0.804
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 2 0.1544 0.79345 0.000 0.932 0.000 0.068 0.000
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 4 0.3359 0.59910 0.000 0.164 0.000 0.816 0.020
#> 7E809698-2473-4EFE-B896-1637983EC596 2 0.1043 0.79746 0.000 0.960 0.000 0.040 0.000
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 3 0.2561 0.85720 0.000 0.000 0.856 0.000 0.144
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 3 0.0000 0.89500 0.000 0.000 1.000 0.000 0.000
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 4 0.5164 0.42039 0.000 0.096 0.000 0.672 0.232
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 5 0.8509 -0.11877 0.256 0.184 0.000 0.248 0.312
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.7455 0.54482 0.532 0.180 0.000 0.124 0.164
#> 73F28A79-7D35-4FE9-849D-FFE681483928 1 0.0290 0.79533 0.992 0.000 0.000 0.008 0.000
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 5 0.4397 0.07182 0.004 0.000 0.000 0.432 0.564
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 3 0.4747 0.28813 0.000 0.000 0.496 0.016 0.488
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 3 0.1270 0.89140 0.000 0.000 0.948 0.000 0.052
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 4 0.5519 0.24683 0.000 0.084 0.000 0.584 0.332
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.0162 0.79582 0.996 0.004 0.000 0.000 0.000
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 2 0.6719 0.48793 0.088 0.612 0.000 0.168 0.132
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 5 0.5262 -0.02774 0.016 0.020 0.000 0.460 0.504
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 5 0.3109 0.54803 0.000 0.000 0.000 0.200 0.800
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.0703 0.89299 0.000 0.000 0.976 0.000 0.024
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.0162 0.79582 0.996 0.004 0.000 0.000 0.000
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.2773 0.68878 0.164 0.836 0.000 0.000 0.000
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 2 0.3177 0.61779 0.000 0.792 0.000 0.208 0.000
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 4 0.5461 0.29465 0.000 0.008 0.092 0.656 0.244
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 4 0.3398 0.60238 0.000 0.216 0.000 0.780 0.004
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 1 0.4300 0.03996 0.524 0.476 0.000 0.000 0.000
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 4 0.3400 0.52804 0.000 0.036 0.000 0.828 0.136
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 1 0.4138 0.32923 0.616 0.384 0.000 0.000 0.000
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.4449 0.75091 0.792 0.076 0.000 0.028 0.104
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.2280 0.85902 0.000 0.000 0.880 0.000 0.120
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 3 0.4060 0.55525 0.000 0.000 0.640 0.000 0.360
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.0162 0.79582 0.996 0.004 0.000 0.000 0.000
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 5 0.2424 0.48444 0.000 0.000 0.000 0.132 0.868
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.1121 0.79649 0.000 0.956 0.000 0.044 0.000
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 5 0.3999 0.45682 0.000 0.000 0.000 0.344 0.656
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.7134 0.57673 0.568 0.180 0.000 0.104 0.148
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 4 0.4166 0.26308 0.004 0.000 0.000 0.648 0.348
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.6432 0.65431 0.644 0.124 0.000 0.088 0.144
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 2 0.5188 0.42082 0.000 0.600 0.000 0.344 0.056
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 2 0.0162 0.80556 0.000 0.996 0.000 0.004 0.000
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 2 0.1792 0.78966 0.000 0.916 0.000 0.084 0.000
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 2 0.0609 0.80390 0.000 0.980 0.000 0.020 0.000
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 3 0.1981 0.88996 0.000 0.000 0.920 0.016 0.064
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 4 0.4138 0.09575 0.000 0.000 0.000 0.616 0.384
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 5 0.3319 0.55573 0.000 0.000 0.020 0.160 0.820
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 3 0.3876 0.64753 0.000 0.000 0.684 0.000 0.316
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 4 0.4074 0.25541 0.000 0.000 0.000 0.636 0.364
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 3 0.1117 0.89190 0.000 0.000 0.964 0.016 0.020
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 4 0.4030 0.50754 0.000 0.352 0.000 0.648 0.000
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 4 0.4229 0.32542 0.000 0.020 0.000 0.704 0.276
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.1117 0.89190 0.000 0.000 0.964 0.016 0.020
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.1908 0.75614 0.092 0.908 0.000 0.000 0.000
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 2 0.0162 0.80556 0.000 0.996 0.000 0.004 0.000
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 2 0.0404 0.80519 0.000 0.988 0.000 0.012 0.000
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.2230 0.86122 0.000 0.000 0.884 0.000 0.116
#> CA356591-D24F-41A8-8C9A-1178C7781510 4 0.4933 0.41469 0.000 0.080 0.000 0.692 0.228
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.0000 0.89500 0.000 0.000 1.000 0.000 0.000
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.0451 0.79514 0.988 0.000 0.000 0.008 0.004
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 2 0.1716 0.785373 0.000 0.932 0.000 0.036 0.028 0.004
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.5631 0.380115 0.000 0.012 0.516 0.008 0.084 0.380
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 4 0.3240 0.750979 0.000 0.040 0.000 0.812 0.148 0.000
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 4 0.1462 0.807385 0.000 0.056 0.000 0.936 0.008 0.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 2 0.4226 0.669147 0.000 0.736 0.000 0.000 0.152 0.112
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 5 0.4151 0.647773 0.000 0.164 0.000 0.004 0.748 0.084
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 2 0.2384 0.775510 0.000 0.900 0.000 0.016 0.040 0.044
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 4 0.2106 0.777521 0.064 0.000 0.000 0.904 0.032 0.000
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 4 0.0436 0.815563 0.004 0.004 0.000 0.988 0.004 0.000
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.1989 0.775484 0.000 0.916 0.000 0.028 0.052 0.004
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.1092 0.787592 0.000 0.960 0.000 0.020 0.020 0.000
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.0837 0.874758 0.000 0.004 0.972 0.000 0.020 0.004
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 6 0.4240 0.691274 0.000 0.012 0.120 0.008 0.088 0.772
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 4 0.0291 0.815902 0.004 0.004 0.000 0.992 0.000 0.000
#> ECB2DF14-CF68-44D4-8719-973AE448B992 2 0.5184 0.322980 0.000 0.572 0.000 0.000 0.316 0.112
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 2 0.1074 0.788278 0.000 0.960 0.000 0.028 0.012 0.000
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 3 0.4926 0.640134 0.000 0.012 0.656 0.008 0.056 0.268
#> 3282F146-2782-4877-9EFE-6020AC277A8C 2 0.3679 0.635221 0.000 0.772 0.000 0.176 0.052 0.000
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 4 0.1838 0.806386 0.000 0.016 0.000 0.916 0.068 0.000
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 5 0.4656 0.286079 0.000 0.404 0.000 0.004 0.556 0.036
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.2350 0.763912 0.000 0.888 0.000 0.036 0.076 0.000
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 2 0.5020 0.031064 0.000 0.500 0.000 0.060 0.436 0.004
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 4 0.2218 0.786280 0.000 0.104 0.000 0.884 0.012 0.000
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 6 0.3240 0.741261 0.000 0.000 0.148 0.000 0.040 0.812
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 6 0.3784 0.743167 0.000 0.144 0.000 0.000 0.080 0.776
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 2 0.4382 0.560119 0.000 0.696 0.000 0.000 0.228 0.076
#> C945DDA9-0194-46F4-89E2-13883284D5A4 2 0.4520 0.596406 0.000 0.688 0.000 0.000 0.092 0.220
#> 79B11925-9772-474F-A729-D00315959710 1 0.4339 0.577944 0.684 0.000 0.000 0.060 0.256 0.000
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 4 0.0508 0.816626 0.000 0.004 0.000 0.984 0.012 0.000
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 6 0.4430 0.503169 0.000 0.000 0.280 0.004 0.048 0.668
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 5 0.3975 0.640411 0.000 0.180 0.000 0.036 0.764 0.020
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.3332 0.686225 0.808 0.000 0.000 0.048 0.144 0.000
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 4 0.0520 0.814365 0.008 0.000 0.000 0.984 0.008 0.000
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 6 0.4671 0.169014 0.000 0.000 0.424 0.000 0.044 0.532
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.0146 0.874081 0.000 0.000 0.996 0.000 0.000 0.004
#> 26796E5F-C0C2-466C-9012-882F6D29C149 2 0.2070 0.772652 0.000 0.908 0.000 0.000 0.048 0.044
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 5 0.5144 0.343900 0.000 0.092 0.000 0.000 0.536 0.372
#> 1492D21A-6458-4B49-B530-7A327FCDD031 5 0.5572 0.060993 0.364 0.004 0.000 0.128 0.504 0.000
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 1 0.1588 0.729756 0.924 0.000 0.000 0.072 0.004 0.000
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 4 0.4414 0.661211 0.000 0.180 0.000 0.712 0.108 0.000
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.0000 0.762497 1.000 0.000 0.000 0.000 0.000 0.000
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 2 0.5468 0.319242 0.000 0.552 0.000 0.000 0.288 0.160
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 4 0.2748 0.711277 0.128 0.000 0.000 0.848 0.024 0.000
#> E846120D-D9E6-46F8-9647-2272AB064072 6 0.4021 0.715276 0.000 0.012 0.100 0.008 0.088 0.792
#> 36880C8C-91A9-49A9-A2D5-957161737F31 4 0.1003 0.815074 0.000 0.016 0.000 0.964 0.020 0.000
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 4 0.2066 0.770638 0.072 0.000 0.000 0.904 0.024 0.000
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 1 0.4348 0.333994 0.560 0.000 0.000 0.416 0.024 0.000
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 6 0.2821 0.721647 0.000 0.016 0.000 0.000 0.152 0.832
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 5 0.4278 0.626401 0.036 0.036 0.000 0.164 0.760 0.004
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 4 0.4504 0.220559 0.024 0.004 0.000 0.540 0.432 0.000
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 6 0.5336 0.413826 0.000 0.144 0.000 0.000 0.284 0.572
#> 116F3F29-AB89-4F00-9003-559041E285EB 2 0.2122 0.776586 0.000 0.912 0.000 0.008 0.040 0.040
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.1049 0.788585 0.000 0.960 0.000 0.032 0.008 0.000
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 5 0.5618 0.290844 0.000 0.152 0.000 0.000 0.480 0.368
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 4 0.2474 0.794423 0.000 0.080 0.000 0.880 0.040 0.000
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 4 0.5079 0.294738 0.000 0.084 0.000 0.536 0.380 0.000
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 5 0.4589 0.629024 0.000 0.172 0.000 0.000 0.696 0.132
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 2 0.0858 0.789329 0.000 0.968 0.000 0.028 0.000 0.004
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 3 0.3065 0.835220 0.000 0.012 0.852 0.000 0.088 0.048
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.0000 0.762497 1.000 0.000 0.000 0.000 0.000 0.000
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 3 0.2771 0.851342 0.000 0.004 0.868 0.000 0.060 0.068
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 4 0.1176 0.807261 0.020 0.000 0.000 0.956 0.024 0.000
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 6 0.3792 0.728805 0.000 0.000 0.108 0.000 0.112 0.780
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 6 0.1462 0.788744 0.000 0.008 0.000 0.000 0.056 0.936
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 2 0.1225 0.786662 0.000 0.952 0.000 0.036 0.012 0.000
#> CD576099-5450-4232-9B59-08341BED8FFA 4 0.3013 0.777853 0.000 0.068 0.000 0.844 0.088 0.000
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 2 0.1391 0.785093 0.000 0.944 0.000 0.040 0.016 0.000
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 1 0.0806 0.759511 0.972 0.000 0.000 0.008 0.020 0.000
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 5 0.5026 0.657907 0.032 0.112 0.000 0.008 0.716 0.132
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 2 0.4463 0.267463 0.000 0.588 0.000 0.376 0.036 0.000
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 2 0.1723 0.784879 0.000 0.928 0.000 0.036 0.036 0.000
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 3 0.4089 0.833806 0.000 0.020 0.784 0.008 0.136 0.052
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 1 0.0146 0.761905 0.996 0.000 0.000 0.000 0.004 0.000
#> 57E380FC-B6AB-466F-9936-D52192888008 4 0.3020 0.772335 0.076 0.000 0.000 0.844 0.080 0.000
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 4 0.3894 0.702357 0.000 0.072 0.000 0.760 0.168 0.000
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 1 0.0000 0.762497 1.000 0.000 0.000 0.000 0.000 0.000
#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 2 0.1116 0.789005 0.000 0.960 0.000 0.028 0.008 0.004
#> 1D4F0B66-720D-484D-B8D5-2B290ED208A8 2 0.5933 -0.057920 0.000 0.440 0.004 0.008 0.140 0.408
#> C886CA33-5080-4E3E-88A2-F9A3CF03A857 3 0.4138 0.781523 0.000 0.012 0.768 0.008 0.052 0.160
#> 9AC963E4-F82D-460E-9CAD-C651B879780A 4 0.0291 0.815902 0.004 0.004 0.000 0.992 0.000 0.000
#> 1B6CF403-D0AE-4FFE-A884-660A58F32660 2 0.5233 0.139594 0.000 0.500 0.000 0.000 0.404 0.096
#> B33316E1-11FD-4C10-956A-C9C6F78508C5 5 0.5597 0.293070 0.000 0.372 0.000 0.000 0.480 0.148
#> BB02EF6A-C57D-4A79-99C1-ED43A72FFAF7 2 0.2266 0.740347 0.000 0.880 0.000 0.108 0.012 0.000
#> 4DBA59AD-9393-4BE6-88CB-852C62C4A334 3 0.3364 0.828188 0.000 0.008 0.828 0.000 0.096 0.068
#> 7887EDC4-A0D7-4E57-B3A1-330A5683457D 5 0.5479 0.264907 0.092 0.012 0.000 0.380 0.516 0.000
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#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 6 0.0777 0.796984 0.000 0.004 0.000 0.000 0.024 0.972
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 4 0.4223 0.617564 0.000 0.060 0.000 0.704 0.236 0.000
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 2 0.0777 0.789638 0.000 0.972 0.000 0.024 0.000 0.004
#> 7E809698-2473-4EFE-B896-1637983EC596 4 0.3274 0.766265 0.000 0.080 0.000 0.824 0.096 0.000
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 3 0.3660 0.807358 0.000 0.000 0.780 0.000 0.060 0.160
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 3 0.0146 0.874081 0.000 0.000 0.996 0.000 0.000 0.004
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 2 0.3716 0.701955 0.000 0.812 0.004 0.012 0.092 0.080
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 5 0.5150 0.568634 0.164 0.044 0.000 0.060 0.712 0.020
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 5 0.4985 0.048129 0.400 0.000 0.000 0.072 0.528 0.000
#> 73F28A79-7D35-4FE9-849D-FFE681483928 1 0.0146 0.761905 0.996 0.000 0.000 0.000 0.004 0.000
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 5 0.4251 0.602839 0.000 0.076 0.000 0.000 0.716 0.208
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 6 0.4034 0.670995 0.000 0.008 0.168 0.000 0.064 0.760
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 3 0.3344 0.774528 0.000 0.000 0.804 0.000 0.044 0.152
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.4787 0.581407 0.000 0.708 0.004 0.012 0.104 0.172
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.0000 0.762497 1.000 0.000 0.000 0.000 0.000 0.000
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 5 0.4565 0.516608 0.012 0.052 0.000 0.256 0.680 0.000
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 5 0.4415 0.644667 0.000 0.144 0.000 0.004 0.728 0.124
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 6 0.1219 0.790920 0.000 0.004 0.000 0.000 0.048 0.948
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.2476 0.855375 0.000 0.012 0.900 0.008 0.044 0.036
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.0000 0.762497 1.000 0.000 0.000 0.000 0.000 0.000
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 4 0.1341 0.803965 0.024 0.000 0.000 0.948 0.028 0.000
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 4 0.5392 0.466121 0.000 0.192 0.000 0.584 0.224 0.000
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.4312 0.657568 0.000 0.772 0.040 0.000 0.100 0.088
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 2 0.1642 0.791164 0.000 0.936 0.000 0.028 0.032 0.004
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 4 0.3899 0.201527 0.404 0.000 0.000 0.592 0.004 0.000
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 2 0.4042 0.468453 0.000 0.664 0.000 0.004 0.316 0.016
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 4 0.4234 0.048299 0.440 0.000 0.000 0.544 0.016 0.000
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.4720 0.506602 0.624 0.000 0.000 0.072 0.304 0.000
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.4425 0.753531 0.000 0.012 0.736 0.008 0.056 0.188
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 6 0.4050 0.640701 0.000 0.000 0.236 0.000 0.048 0.716
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.0000 0.762497 1.000 0.000 0.000 0.000 0.000 0.000
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 6 0.2706 0.720821 0.000 0.008 0.000 0.000 0.160 0.832
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 4 0.2357 0.776273 0.000 0.116 0.000 0.872 0.012 0.000
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 6 0.3918 0.758050 0.000 0.124 0.000 0.000 0.108 0.768
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.5359 0.175401 0.460 0.000 0.000 0.108 0.432 0.000
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 5 0.5313 0.294153 0.000 0.384 0.000 0.000 0.508 0.108
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.5058 0.261655 0.500 0.000 0.000 0.076 0.424 0.000
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 5 0.4570 0.622577 0.000 0.148 0.000 0.152 0.700 0.000
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 4 0.0935 0.815760 0.000 0.004 0.000 0.964 0.032 0.000
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 4 0.4476 0.561997 0.000 0.064 0.000 0.664 0.272 0.000
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 4 0.3006 0.777365 0.000 0.064 0.000 0.844 0.092 0.000
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 3 0.4343 0.825776 0.000 0.024 0.768 0.008 0.136 0.064
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 2 0.4881 0.377675 0.000 0.588 0.000 0.000 0.076 0.336
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 6 0.1349 0.788416 0.000 0.004 0.000 0.000 0.056 0.940
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 6 0.4291 0.530059 0.000 0.000 0.292 0.000 0.044 0.664
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 2 0.4890 0.589924 0.000 0.660 0.000 0.000 0.160 0.180
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 3 0.1398 0.870063 0.000 0.008 0.940 0.000 0.052 0.000
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.2070 0.772497 0.000 0.908 0.000 0.048 0.044 0.000
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 2 0.3790 0.673486 0.000 0.772 0.000 0.000 0.072 0.156
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.1524 0.868930 0.000 0.008 0.932 0.000 0.060 0.000
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 4 0.0993 0.809611 0.012 0.000 0.000 0.964 0.024 0.000
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 4 0.2122 0.803672 0.000 0.024 0.000 0.900 0.076 0.000
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 4 0.2625 0.793897 0.000 0.056 0.000 0.872 0.072 0.000
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.4231 0.775793 0.000 0.012 0.760 0.008 0.056 0.164
#> CA356591-D24F-41A8-8C9A-1178C7781510 2 0.3718 0.704478 0.000 0.808 0.004 0.012 0.060 0.116
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.0146 0.874081 0.000 0.000 0.996 0.000 0.000 0.004
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.0000 0.762497 1.000 0.000 0.000 0.000 0.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["ATC", "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 17888 rows and 430 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 0.970 0.988 0.4972 0.503 0.503
#> 3 3 0.788 0.866 0.931 0.3017 0.788 0.599
#> 4 4 0.696 0.777 0.862 0.0994 0.895 0.714
#> 5 5 0.794 0.766 0.886 0.0742 0.921 0.736
#> 6 6 0.735 0.682 0.825 0.0431 0.960 0.834
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
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 2 0.0000 0.9891 0.000 1.000
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 1 0.0000 0.9855 1.000 0.000
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 2 0.0000 0.9891 0.000 1.000
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.0000 0.9891 0.000 1.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 1 0.0000 0.9855 1.000 0.000
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 2 0.0000 0.9891 0.000 1.000
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 1 0.0000 0.9855 1.000 0.000
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 2 0.0000 0.9891 0.000 1.000
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.0000 0.9891 0.000 1.000
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 1 0.0000 0.9855 1.000 0.000
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.0000 0.9891 0.000 1.000
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 1 0.0000 0.9855 1.000 0.000
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.0000 0.9855 1.000 0.000
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.0000 0.9891 0.000 1.000
#> ECB2DF14-CF68-44D4-8719-973AE448B992 1 0.0000 0.9855 1.000 0.000
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 1 0.6148 0.8185 0.848 0.152
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 1 0.0000 0.9855 1.000 0.000
#> 3282F146-2782-4877-9EFE-6020AC277A8C 2 0.0000 0.9891 0.000 1.000
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 2 0.0000 0.9891 0.000 1.000
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 2 0.0000 0.9891 0.000 1.000
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.0000 0.9891 0.000 1.000
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 2 0.0000 0.9891 0.000 1.000
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.0000 0.9891 0.000 1.000
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 1 0.0000 0.9855 1.000 0.000
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 1 0.0000 0.9855 1.000 0.000
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 1 0.0000 0.9855 1.000 0.000
#> C945DDA9-0194-46F4-89E2-13883284D5A4 1 0.0000 0.9855 1.000 0.000
#> 79B11925-9772-474F-A729-D00315959710 2 0.0000 0.9891 0.000 1.000
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 2 0.0000 0.9891 0.000 1.000
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 1 0.0000 0.9855 1.000 0.000
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 2 0.0000 0.9891 0.000 1.000
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 2 0.0000 0.9891 0.000 1.000
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.0000 0.9891 0.000 1.000
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 1 0.0000 0.9855 1.000 0.000
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 1 0.0000 0.9855 1.000 0.000
#> 26796E5F-C0C2-466C-9012-882F6D29C149 1 0.0000 0.9855 1.000 0.000
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 0.3584 0.9188 0.932 0.068
#> 1492D21A-6458-4B49-B530-7A327FCDD031 2 0.0000 0.9891 0.000 1.000
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 2 0.0000 0.9891 0.000 1.000
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 2 0.0000 0.9891 0.000 1.000
#> B823982D-4102-4D21-B9CB-8C42830784F4 2 0.0000 0.9891 0.000 1.000
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 1 0.0000 0.9855 1.000 0.000
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.0000 0.9891 0.000 1.000
#> E846120D-D9E6-46F8-9647-2272AB064072 1 0.0000 0.9855 1.000 0.000
#> 36880C8C-91A9-49A9-A2D5-957161737F31 2 0.0000 0.9891 0.000 1.000
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.0000 0.9891 0.000 1.000
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 2 0.0000 0.9891 0.000 1.000
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 1 0.0000 0.9855 1.000 0.000
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 2 0.0000 0.9891 0.000 1.000
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 2 0.0000 0.9891 0.000 1.000
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 1 0.0000 0.9855 1.000 0.000
#> 116F3F29-AB89-4F00-9003-559041E285EB 1 0.0000 0.9855 1.000 0.000
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.6343 0.8076 0.160 0.840
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 1 0.0000 0.9855 1.000 0.000
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 2 0.0000 0.9891 0.000 1.000
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 2 0.0000 0.9891 0.000 1.000
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 2 0.0000 0.9891 0.000 1.000
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 1 0.0000 0.9855 1.000 0.000
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 1 0.0000 0.9855 1.000 0.000
#> 299CB633-58A3-4275-BC08-E6F3669C365A 2 0.0000 0.9891 0.000 1.000
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 1 0.0000 0.9855 1.000 0.000
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.0000 0.9891 0.000 1.000
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#> BC8994E6-FD91-4B7C-950C-C953FD175A03 1 0.0000 0.9855 1.000 0.000
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#> 17FADB7C-F0E7-4197-81DD-6124234F66F6 1 0.0000 0.9855 1.000 0.000
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#> C2362B18-3B5C-48DD-B9DB-B20861ED73E6 1 0.0000 0.9855 1.000 0.000
#> 504270C4-9AD7-47DD-98A3-994713742235 1 0.0000 0.9855 1.000 0.000
#> 4DC26F02-A83F-4F3A-A5B8-BD798778B022 1 0.0000 0.9855 1.000 0.000
#> 057404EA-E563-4BA7-AB70-1791AB89B38F 2 0.0000 0.9891 0.000 1.000
#> 2BDB4B13-7B89-454E-B06B-564A8D57CD06 2 0.0000 0.9891 0.000 1.000
#> 0A136122-8233-42FB-89BD-795780B5E94B 2 0.0000 0.9891 0.000 1.000
#> E87FB9EC-A661-41EA-A6E3-BEB629BB3309 1 0.0000 0.9855 1.000 0.000
#> 5B41C173-0A28-498B-8245-18C35D31ECCC 1 0.0000 0.9855 1.000 0.000
#> EE2DCABE-DDD1-4C21-9D42-2E12D2FE16C3 1 0.0000 0.9855 1.000 0.000
#> 7493CB4A-C641-42A4-9BE9-394F2AE9287D 2 0.0000 0.9891 0.000 1.000
#> 7AF6E8FF-2E16-4D5B-A475-8C2492BE0325 1 0.0000 0.9855 1.000 0.000
#> AF9B58D8-D875-412B-99F5-1E7768C18080 2 0.0000 0.9891 0.000 1.000
#> 0EEEDCFE-9FB9-4F12-9ADB-701AF3324B0F 1 0.0000 0.9855 1.000 0.000
#> F96A4D39-CA48-4D92-94D7-951B746407B5 1 0.0000 0.9855 1.000 0.000
#> DDB6A47A-3E0A-4738-9D1E-EAB8682485C3 1 0.0000 0.9855 1.000 0.000
#> 914276B4-F36B-49F9-8F2A-05296459F3EB 2 0.0000 0.9891 0.000 1.000
#> 94D3B158-1C7B-43A2-AE00-64E115344C52 2 0.0000 0.9891 0.000 1.000
#> 8A125E59-3E7E-4A77-9F5C-94AAD54C95E5 1 0.0000 0.9855 1.000 0.000
#> F1AD0BF7-6094-4B0D-9FE1-F8439124269A 2 0.0000 0.9891 0.000 1.000
#> 3F7EC434-13A6-46C4-8791-C8992192C3D6 2 0.0000 0.9891 0.000 1.000
#> 65D42DF3-62D8-4B1E-B6EB-A0FEEA01FD70 1 0.0000 0.9855 1.000 0.000
#> 7A42FA71-7FD7-47B6-842B-0BEF0ECD7FB5 2 0.0000 0.9891 0.000 1.000
#> 57F784E9-1827-476B-9AA6-524E842641EA 1 0.0000 0.9855 1.000 0.000
#> 5E79792E-CE89-4ECF-BD4E-B12877E63949 1 0.0000 0.9855 1.000 0.000
#> E9DB46D8-5CE4-472C-8F21-9180F2D4C880 1 0.0000 0.9855 1.000 0.000
#> 7C712EF3-7368-4D97-BB9A-717CF8522C7F 1 0.0000 0.9855 1.000 0.000
#> 30312D82-4966-4EAA-A067-F91852FA8663 2 0.0000 0.9891 0.000 1.000
#> ECC62CBA-16AB-45F0-9C5A-72F302B4A188 1 0.0000 0.9855 1.000 0.000
#> 5AF4899F-D8E1-4CB6-B3DC-F0C60C808838 1 0.0000 0.9855 1.000 0.000
#> BBCEA0D1-DE66-4C0C-8D3C-D1398D04B472 2 0.0000 0.9891 0.000 1.000
#> 154764CD-AC69-4F48-A212-8B27C076C91A 1 0.0000 0.9855 1.000 0.000
#> 33266777-E07B-49D0-9E24-2EDE2577CF16 2 0.0000 0.9891 0.000 1.000
#> 7DAE9720-3922-4680-9F95-75C029B7FDA9 1 0.0000 0.9855 1.000 0.000
#> 1BC2ECED-0425-4382-BB94-F57ED2687F18 2 0.0000 0.9891 0.000 1.000
#> 0901D931-77BE-47B0-AE5F-C26C6A144CA0 2 0.0000 0.9891 0.000 1.000
#> 77AFFD5F-F715-4242-95C9-5F36E061B3E2 2 0.0000 0.9891 0.000 1.000
#> FAB4A6D6-E978-4172-9FE1-79FC50C0F849 2 0.0000 0.9891 0.000 1.000
#> 32C4DF54-39DD-4F62-B938-82ED2A0E0FFD 2 0.0000 0.9891 0.000 1.000
#> 9911D83E-6DDF-4048-9A34-22BFA1D68BBD 1 0.0000 0.9855 1.000 0.000
#> 4BAC0A03-BB88-4D19-86F9-FF093330C9B3 1 0.0000 0.9855 1.000 0.000
#> 18F63ADA-1828-43DD-AE1F-F36706C204CD 1 0.0000 0.9855 1.000 0.000
#> 66729295-C0AA-42C7-92C9-05194EF02276 1 0.0000 0.9855 1.000 0.000
#> 4CCA3104-B557-403D-AC06-A6D4936DDC04 1 0.0000 0.9855 1.000 0.000
#> 77D4165E-7CB1-4D69-AFE5-C8D914531651 2 0.0000 0.9891 0.000 1.000
#> BA12A05A-622A-424D-8108-3F5916405EB0 1 0.0000 0.9855 1.000 0.000
#> DED4EA4D-9DC2-4419-83EC-2BFE75DC1830 2 0.1843 0.9623 0.028 0.972
#> 13A35364-57C5-4F5A-B077-3BA2689BFDD3 2 0.0000 0.9891 0.000 1.000
#> 2641B816-1D21-496E-85AD-1C690C9146A6 1 0.0000 0.9855 1.000 0.000
#> 96E2AD09-7287-4B91-840E-81444A61D56F 1 0.0000 0.9855 1.000 0.000
#> 62F3327F-FB16-4AD0-BCF5-B180F28281A9 2 0.0000 0.9891 0.000 1.000
#> 112F7032-0212-4939-9449-D67E3600CCD5 1 0.0000 0.9855 1.000 0.000
#> A3B4DE21-DDF0-4468-A300-7BECBAFD0BCD 2 0.0000 0.9891 0.000 1.000
#> 0A03E593-6931-419C-AE47-51D75185C2C0 1 0.0000 0.9855 1.000 0.000
#> 2416A3DC-A563-4FD1-A139-0E6EF7185211 2 0.0000 0.9891 0.000 1.000
#> 18B29573-822C-405F-B793-DBC8924866CE 2 0.0000 0.9891 0.000 1.000
#> 994EC227-B239-4CEE-AC96-EB5CC0AF583E 2 0.9087 0.5236 0.324 0.676
#> 950933A3-5757-4914-9DC5-C220C2A455FD 1 0.0000 0.9855 1.000 0.000
#> DBDFE95C-F941-407A-BE7D-D43D50143C4D 1 0.0000 0.9855 1.000 0.000
#> D024393C-29D0-41C4-AB86-7E94581FDD26 2 0.0000 0.9891 0.000 1.000
#> 4975AB35-93E5-400D-A429-CEA81BA89FFE 1 0.4022 0.9057 0.920 0.080
#> 666ADCA2-1AE4-4843-B1C8-8EE29C44AE74 2 0.0000 0.9891 0.000 1.000
#> A8F79C08-3943-4707-ADCB-890A955B5394 2 0.0000 0.9891 0.000 1.000
#> A81614ED-14CB-4EBC-988E-F67FBCBF62D8 1 0.9129 0.5191 0.672 0.328
#> E27E65C8-5B57-4C91-9D20-C075AEA2F2C5 1 0.9087 0.5284 0.676 0.324
#> 745F18CA-080D-42FE-BAA6-89AD7E3D3408 2 0.0000 0.9891 0.000 1.000
#> E755A625-799D-4A39-9D56-080228E0B669 2 0.0000 0.9891 0.000 1.000
#> 3D94EFB8-94D4-4FDE-97D8-18A159279996 1 0.0000 0.9855 1.000 0.000
#> 3D305C2E-6C86-4684-AA2A-155291AB4CC3 2 0.0000 0.9891 0.000 1.000
#> E140052A-5434-4C44-9873-0318D1D272CA 2 0.0000 0.9891 0.000 1.000
#> 68E56692-D46D-4A27-86CD-717E10AADDDA 1 0.0000 0.9855 1.000 0.000
#> 00A0586E-5F05-47B3-925C-87E811B0893B 1 0.0000 0.9855 1.000 0.000
#> E2B019A7-7C95-40FE-800C-D30E9730825C 2 0.0000 0.9891 0.000 1.000
#> 1B9ABB69-5CC6-4B6B-ABBC-71CC3274C7F0 2 0.0000 0.9891 0.000 1.000
#> FAE396AA-3C3C-4AF9-953D-385C41B2DB5B 2 0.0000 0.9891 0.000 1.000
#> 6BE4397D-1E5B-4486-83B4-EE0EC146C805 2 0.0000 0.9891 0.000 1.000
#> EE38BD4E-5A08-4639-912F-04203F53762F 2 0.0000 0.9891 0.000 1.000
#> 4050E7F8-80B6-46F2-8FF0-D4EC313E975B 1 0.0000 0.9855 1.000 0.000
#> F3565161-FFBE-4138-9773-558DB386710C 2 0.0000 0.9891 0.000 1.000
#> BA9ABEB1-D3F0-4F09-A647-25211C47C3D0 2 0.0000 0.9891 0.000 1.000
#> 9E41E79A-4028-4F60-8250-411F191B665C 2 0.0000 0.9891 0.000 1.000
#> 5F1D3EFD-ECDA-4C92-8D81-491484F09C95 1 0.0000 0.9855 1.000 0.000
#> 0DBA04CB-417D-4E2B-BE83-3563F45291C4 2 0.0000 0.9891 0.000 1.000
#> B9B882A5-194B-4F5C-B702-0CF71CA6D9D2 2 0.0000 0.9891 0.000 1.000
#> 67FE7638-B8F5-4631-B178-AC23B0382983 2 0.0000 0.9891 0.000 1.000
#> FE03FC2C-9A4E-4F89-8681-E33DFECCC692 1 0.0000 0.9855 1.000 0.000
#> 2B22B4B7-8A39-435C-BE3B-86FA84C8F941 1 0.0000 0.9855 1.000 0.000
#> 00844B35-C108-4AEC-A687-4A91A2F33E6D 2 0.0000 0.9891 0.000 1.000
#> C221EE7A-6343-4B6D-B322-0A2C0F0B29AF 2 0.0000 0.9891 0.000 1.000
#> B28A6D56-7654-4829-BF1F-657C3C2C10D8 1 0.0000 0.9855 1.000 0.000
#> F4C7BCEC-3CD4-4D9A-89EA-0ED58EA0DCFE 2 0.0000 0.9891 0.000 1.000
#> F06FBFAB-D143-47AE-BEE7-51B48164764F 1 0.0000 0.9855 1.000 0.000
#> 525F522B-E865-4479-AE65-510903ABF46F 1 0.0000 0.9855 1.000 0.000
#> F0CB60E3-C412-46A2-918F-8C5C099AB224 2 0.0000 0.9891 0.000 1.000
#> 587F307F-6E1B-487E-8E47-A99AB43DC5B4 1 0.0000 0.9855 1.000 0.000
#> 883D9145-8414-4571-A3E1-516F03452C46 1 0.0000 0.9855 1.000 0.000
#> 4A917271-7EA0-4F43-B474-7F5EA756EB05 2 0.0000 0.9891 0.000 1.000
#> BB33015D-218C-4A1E-8839-95837D6E9B88 2 0.0000 0.9891 0.000 1.000
#> 021CC81F-710D-4EEA-B1D8-012A81715ACC 2 0.0000 0.9891 0.000 1.000
#> B00C4925-47E3-4442-ABEB-82D714A26587 1 0.7883 0.6912 0.764 0.236
#> F79B27D3-0426-47BB-9756-7E0759246E5E 1 0.0000 0.9855 1.000 0.000
#> 1F179559-D93E-491C-B499-64F86C31DAE0 1 0.0000 0.9855 1.000 0.000
#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 1 0.0000 0.9855 1.000 0.000
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 1 0.0000 0.9855 1.000 0.000
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 1 0.0000 0.9855 1.000 0.000
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 1 0.0000 0.9855 1.000 0.000
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 2 0.0000 0.9891 0.000 1.000
#> ED9794C0-AC60-4B54-8214-D26714871BBF 2 0.0000 0.9891 0.000 1.000
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 2 0.0000 0.9891 0.000 1.000
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 2 0.0000 0.9891 0.000 1.000
#> 18D816AF-394A-482F-B22E-896A43B1E481 2 0.0000 0.9891 0.000 1.000
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 2 0.0000 0.9891 0.000 1.000
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 1 0.0000 0.9855 1.000 0.000
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 2 0.0000 0.9891 0.000 1.000
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 1 0.0000 0.9855 1.000 0.000
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 2 0.0000 0.9891 0.000 1.000
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 1 0.0000 0.9855 1.000 0.000
#> 7E809698-2473-4EFE-B896-1637983EC596 2 0.0000 0.9891 0.000 1.000
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 1 0.0000 0.9855 1.000 0.000
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 1 0.0000 0.9855 1.000 0.000
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 1 0.0000 0.9855 1.000 0.000
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 2 0.0000 0.9891 0.000 1.000
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 2 0.0000 0.9891 0.000 1.000
#> 73F28A79-7D35-4FE9-849D-FFE681483928 2 0.0000 0.9891 0.000 1.000
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 1 0.9686 0.3545 0.604 0.396
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 1 0.0000 0.9855 1.000 0.000
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 1 0.0000 0.9855 1.000 0.000
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 1 0.0000 0.9855 1.000 0.000
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 2 0.0000 0.9891 0.000 1.000
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 2 0.0000 0.9891 0.000 1.000
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 2 0.0000 0.9891 0.000 1.000
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 1 0.0000 0.9855 1.000 0.000
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 1 0.0000 0.9855 1.000 0.000
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 2 0.0000 0.9891 0.000 1.000
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.0000 0.9891 0.000 1.000
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 2 0.0000 0.9891 0.000 1.000
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 1 0.0000 0.9855 1.000 0.000
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 2 0.9087 0.5237 0.324 0.676
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 2 0.0000 0.9891 0.000 1.000
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 2 0.0000 0.9891 0.000 1.000
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 2 0.0000 0.9891 0.000 1.000
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 2 0.0000 0.9891 0.000 1.000
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 1 0.0000 0.9855 1.000 0.000
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.0000 0.9855 1.000 0.000
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 2 0.0000 0.9891 0.000 1.000
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.0000 0.9855 1.000 0.000
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.0000 0.9891 0.000 1.000
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 1 0.0000 0.9855 1.000 0.000
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 2 0.0000 0.9891 0.000 1.000
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 2 0.8713 0.5897 0.292 0.708
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 2 0.0000 0.9891 0.000 1.000
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 2 0.0000 0.9891 0.000 1.000
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 2 0.0000 0.9891 0.000 1.000
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 2 0.0000 0.9891 0.000 1.000
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 2 0.0000 0.9891 0.000 1.000
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 1 0.0000 0.9855 1.000 0.000
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 1 0.0000 0.9855 1.000 0.000
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.0000 0.9855 1.000 0.000
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.0000 0.9855 1.000 0.000
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 1 0.0000 0.9855 1.000 0.000
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 1 0.0000 0.9855 1.000 0.000
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.0000 0.9891 0.000 1.000
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 1 0.0000 0.9855 1.000 0.000
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 1 0.0000 0.9855 1.000 0.000
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.0000 0.9891 0.000 1.000
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 2 0.0000 0.9891 0.000 1.000
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 2 0.0000 0.9891 0.000 1.000
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 1 0.0000 0.9855 1.000 0.000
#> CA356591-D24F-41A8-8C9A-1178C7781510 1 0.0000 0.9855 1.000 0.000
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 1 0.0000 0.9855 1.000 0.000
#> 825309CC-4841-4475-BF77-8250C5EEADD8 2 0.0000 0.9891 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 2 0.0000 0.8170 0.000 1.000 0.000
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.0000 0.9832 0.000 0.000 1.000
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 1 0.3412 0.7910 0.876 0.124 0.000
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.3192 0.8424 0.112 0.888 0.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 3 0.0000 0.9832 0.000 0.000 1.000
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 1 0.0000 0.9186 1.000 0.000 0.000
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 3 0.4796 0.7033 0.000 0.220 0.780
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 2 0.4605 0.8398 0.204 0.796 0.000
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.4605 0.8398 0.204 0.796 0.000
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.6062 0.2892 0.000 0.616 0.384
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.0000 0.8170 0.000 1.000 0.000
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#> ED9794C0-AC60-4B54-8214-D26714871BBF 1 0.0000 0.9186 1.000 0.000 0.000
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 2 0.4504 0.8454 0.196 0.804 0.000
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 2 0.4605 0.8398 0.204 0.796 0.000
#> 18D816AF-394A-482F-B22E-896A43B1E481 2 0.3816 0.8463 0.148 0.852 0.000
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 1 0.0000 0.9186 1.000 0.000 0.000
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 3 0.0000 0.9832 0.000 0.000 1.000
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 2 0.1163 0.8251 0.028 0.972 0.000
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 3 0.0000 0.9832 0.000 0.000 1.000
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 1 0.6225 0.0558 0.568 0.432 0.000
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 2 0.0000 0.8170 0.000 1.000 0.000
#> 7E809698-2473-4EFE-B896-1637983EC596 2 0.4452 0.8460 0.192 0.808 0.000
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 3 0.0000 0.9832 0.000 0.000 1.000
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 3 0.0000 0.9832 0.000 0.000 1.000
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 3 0.3340 0.8516 0.000 0.120 0.880
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.0000 0.9186 1.000 0.000 0.000
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.0000 0.9186 1.000 0.000 0.000
#> 73F28A79-7D35-4FE9-849D-FFE681483928 1 0.0000 0.9186 1.000 0.000 0.000
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 1 0.0892 0.8965 0.980 0.000 0.020
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 3 0.0000 0.9832 0.000 0.000 1.000
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 3 0.0000 0.9832 0.000 0.000 1.000
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 3 0.1529 0.9443 0.000 0.040 0.960
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.0000 0.9186 1.000 0.000 0.000
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 1 0.0000 0.9186 1.000 0.000 0.000
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 1 0.0000 0.9186 1.000 0.000 0.000
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 3 0.0000 0.9832 0.000 0.000 1.000
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.0000 0.9832 0.000 0.000 1.000
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.0000 0.9186 1.000 0.000 0.000
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.6126 0.5423 0.400 0.600 0.000
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 2 0.1163 0.8248 0.028 0.972 0.000
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 3 0.0000 0.9832 0.000 0.000 1.000
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 2 0.0000 0.8170 0.000 1.000 0.000
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 2 0.6126 0.5423 0.400 0.600 0.000
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 1 0.6267 -0.0738 0.548 0.452 0.000
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 2 0.6244 0.4420 0.440 0.560 0.000
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.0000 0.9186 1.000 0.000 0.000
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.0000 0.9832 0.000 0.000 1.000
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 3 0.0000 0.9832 0.000 0.000 1.000
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.0000 0.9186 1.000 0.000 0.000
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 3 0.3482 0.8480 0.128 0.000 0.872
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.0000 0.8170 0.000 1.000 0.000
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 3 0.0000 0.9832 0.000 0.000 1.000
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.0000 0.9186 1.000 0.000 0.000
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 1 0.4504 0.6691 0.804 0.000 0.196
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.0000 0.9186 1.000 0.000 0.000
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 1 0.3116 0.8106 0.892 0.108 0.000
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 2 0.4504 0.8454 0.196 0.804 0.000
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 2 0.6215 0.4397 0.428 0.572 0.000
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 2 0.4504 0.8454 0.196 0.804 0.000
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 3 0.0000 0.9832 0.000 0.000 1.000
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 3 0.0000 0.9832 0.000 0.000 1.000
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 3 0.0000 0.9832 0.000 0.000 1.000
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 3 0.0000 0.9832 0.000 0.000 1.000
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 3 0.0000 0.9832 0.000 0.000 1.000
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 3 0.0000 0.9832 0.000 0.000 1.000
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.0000 0.8170 0.000 1.000 0.000
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 3 0.0000 0.9832 0.000 0.000 1.000
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.0000 0.9832 0.000 0.000 1.000
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.6008 0.5993 0.372 0.628 0.000
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 2 0.4555 0.8427 0.200 0.800 0.000
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 2 0.4504 0.8454 0.196 0.804 0.000
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.0000 0.9832 0.000 0.000 1.000
#> CA356591-D24F-41A8-8C9A-1178C7781510 3 0.0000 0.9832 0.000 0.000 1.000
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.0000 0.9832 0.000 0.000 1.000
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.0000 0.9186 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 2 0.4304 0.78936 0.000 0.716 0.000 0.284
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.0000 0.90804 0.000 0.000 1.000 0.000
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 4 0.4134 0.61261 0.260 0.000 0.000 0.740
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 4 0.1022 0.82300 0.000 0.032 0.000 0.968
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 3 0.0000 0.90804 0.000 0.000 1.000 0.000
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 1 0.0592 0.76163 0.984 0.016 0.000 0.000
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 3 0.5016 0.25648 0.000 0.396 0.600 0.004
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 4 0.1022 0.83464 0.032 0.000 0.000 0.968
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 4 0.0188 0.84663 0.004 0.000 0.000 0.996
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.4387 0.81622 0.000 0.752 0.012 0.236
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.4040 0.82134 0.000 0.752 0.000 0.248
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.0000 0.90804 0.000 0.000 1.000 0.000
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 3 0.3907 0.77927 0.000 0.232 0.768 0.000
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 4 0.0000 0.84590 0.000 0.000 0.000 1.000
#> ECB2DF14-CF68-44D4-8719-973AE448B992 3 0.3975 0.77228 0.000 0.240 0.760 0.000
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 2 0.4040 0.82134 0.000 0.752 0.000 0.248
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 3 0.2921 0.84260 0.000 0.140 0.860 0.000
#> 3282F146-2782-4877-9EFE-6020AC277A8C 4 0.1716 0.77503 0.000 0.064 0.000 0.936
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 4 0.0188 0.84663 0.004 0.000 0.000 0.996
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 1 0.1118 0.75001 0.964 0.036 0.000 0.000
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 4 0.3266 0.59750 0.000 0.168 0.000 0.832
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 4 0.3649 0.69343 0.204 0.000 0.000 0.796
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 4 0.4008 0.44081 0.000 0.244 0.000 0.756
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 3 0.3907 0.77927 0.000 0.232 0.768 0.000
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 3 0.1867 0.87811 0.000 0.072 0.928 0.000
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 3 0.4072 0.76276 0.000 0.252 0.748 0.000
#> C945DDA9-0194-46F4-89E2-13883284D5A4 3 0.0000 0.90804 0.000 0.000 1.000 0.000
#> 79B11925-9772-474F-A729-D00315959710 1 0.3123 0.86459 0.844 0.000 0.000 0.156
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 4 0.0336 0.84571 0.008 0.000 0.000 0.992
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 3 0.3907 0.77927 0.000 0.232 0.768 0.000
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 1 0.3172 0.86185 0.840 0.000 0.000 0.160
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.3123 0.86459 0.844 0.000 0.000 0.156
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 4 0.0188 0.84663 0.004 0.000 0.000 0.996
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 3 0.3024 0.83764 0.000 0.148 0.852 0.000
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.0000 0.90804 0.000 0.000 1.000 0.000
#> 26796E5F-C0C2-466C-9012-882F6D29C149 3 0.0707 0.89650 0.000 0.020 0.980 0.000
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 0.4040 0.55953 0.752 0.248 0.000 0.000
#> 1492D21A-6458-4B49-B530-7A327FCDD031 1 0.3123 0.86459 0.844 0.000 0.000 0.156
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 4 0.4072 0.62554 0.252 0.000 0.000 0.748
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 4 0.0000 0.84590 0.000 0.000 0.000 1.000
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.3123 0.86459 0.844 0.000 0.000 0.156
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 3 0.5137 0.72925 0.040 0.244 0.716 0.000
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 4 0.0188 0.84663 0.004 0.000 0.000 0.996
#> E846120D-D9E6-46F8-9647-2272AB064072 3 0.3907 0.77927 0.000 0.232 0.768 0.000
#> 36880C8C-91A9-49A9-A2D5-957161737F31 4 0.0188 0.84663 0.004 0.000 0.000 0.996
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 4 0.0188 0.84663 0.004 0.000 0.000 0.996
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 4 0.4304 0.56838 0.284 0.000 0.000 0.716
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 3 0.7721 0.30992 0.312 0.248 0.440 0.000
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 1 0.3123 0.86459 0.844 0.000 0.000 0.156
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 1 0.3219 0.85879 0.836 0.000 0.000 0.164
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 3 0.0376 0.90539 0.004 0.004 0.992 0.000
#> 116F3F29-AB89-4F00-9003-559041E285EB 3 0.3172 0.75662 0.000 0.160 0.840 0.000
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.4040 0.82134 0.000 0.752 0.000 0.248
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 3 0.5374 0.71637 0.052 0.244 0.704 0.000
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 4 0.0336 0.83976 0.000 0.008 0.000 0.992
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 4 0.4008 0.63741 0.244 0.000 0.000 0.756
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 1 0.2973 0.66805 0.856 0.144 0.000 0.000
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 2 0.4040 0.82134 0.000 0.752 0.000 0.248
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 3 0.0000 0.90804 0.000 0.000 1.000 0.000
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.3123 0.86459 0.844 0.000 0.000 0.156
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 3 0.0000 0.90804 0.000 0.000 1.000 0.000
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 4 0.0188 0.84663 0.004 0.000 0.000 0.996
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 3 0.0000 0.90804 0.000 0.000 1.000 0.000
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 3 0.4008 0.76872 0.000 0.244 0.756 0.000
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 2 0.4040 0.82134 0.000 0.752 0.000 0.248
#> CD576099-5450-4232-9B59-08341BED8FFA 4 0.0000 0.84590 0.000 0.000 0.000 1.000
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 2 0.4040 0.82134 0.000 0.752 0.000 0.248
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 1 0.3123 0.86459 0.844 0.000 0.000 0.156
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 1 0.3311 0.64105 0.828 0.172 0.000 0.000
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 4 0.4994 -0.34886 0.000 0.480 0.000 0.520
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 2 0.4888 0.57795 0.000 0.588 0.000 0.412
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 3 0.0000 0.90804 0.000 0.000 1.000 0.000
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 1 0.3123 0.86459 0.844 0.000 0.000 0.156
#> 57E380FC-B6AB-466F-9936-D52192888008 1 0.4500 0.66425 0.684 0.000 0.000 0.316
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 4 0.0000 0.84590 0.000 0.000 0.000 1.000
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 1 0.3123 0.86459 0.844 0.000 0.000 0.156
#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 2 0.6797 0.70595 0.000 0.600 0.160 0.240
#> 1D4F0B66-720D-484D-B8D5-2B290ED208A8 3 0.0000 0.90804 0.000 0.000 1.000 0.000
#> C886CA33-5080-4E3E-88A2-F9A3CF03A857 3 0.0000 0.90804 0.000 0.000 1.000 0.000
#> 9AC963E4-F82D-460E-9CAD-C651B879780A 4 0.0000 0.84590 0.000 0.000 0.000 1.000
#> 1B6CF403-D0AE-4FFE-A884-660A58F32660 3 0.4399 0.69796 0.212 0.020 0.768 0.000
#> B33316E1-11FD-4C10-956A-C9C6F78508C5 1 0.7816 -0.01560 0.400 0.260 0.340 0.000
#> BB02EF6A-C57D-4A79-99C1-ED43A72FFAF7 2 0.4564 0.73095 0.000 0.672 0.000 0.328
#> 4DBA59AD-9393-4BE6-88CB-852C62C4A334 3 0.0000 0.90804 0.000 0.000 1.000 0.000
#> 7887EDC4-A0D7-4E57-B3A1-330A5683457D 1 0.4277 0.72062 0.720 0.000 0.000 0.280
#> 2CD3AC14-46FB-4260-AE5C-4305C68D49BC 4 0.4040 0.63112 0.248 0.000 0.000 0.752
#> BAB8FA79-208A-488D-B955-806263E5D6BB 4 0.0000 0.84590 0.000 0.000 0.000 1.000
#> 98C990E7-7E3B-4200-A88D-E641931302EA 1 0.3123 0.86459 0.844 0.000 0.000 0.156
#> 894EE382-5ACA-4DEB-9267-99ADBEF6DA19 4 0.0000 0.84590 0.000 0.000 0.000 1.000
#> 98795F95-D26D-438A-AF46-B3BC3553F020 3 0.0000 0.90804 0.000 0.000 1.000 0.000
#> 9AD4C328-1554-4C92-931C-30CE8F305FDE 1 0.2816 0.80367 0.900 0.036 0.000 0.064
#> 4D1518D9-D968-4E7F-A702-5157A1A2E83E 1 0.3123 0.86459 0.844 0.000 0.000 0.156
#> A6E8AF8C-5D7B-4197-990B-786A869ACB96 1 0.3123 0.86459 0.844 0.000 0.000 0.156
#> DF8B4E19-8C78-4A68-8FAE-DFF01076BC97 3 0.0000 0.90804 0.000 0.000 1.000 0.000
#> 8D2C608F-3280-4CA2-B996-9AE3DBDBBD28 3 0.0000 0.90804 0.000 0.000 1.000 0.000
#> E7BCBD8D-1219-4A99-948A-47A258A5CD8B 4 0.4564 0.45370 0.328 0.000 0.000 0.672
#> 2C9633A5-8ACB-4D16-8120-F098BA14BB04 4 0.0592 0.84283 0.016 0.000 0.000 0.984
#> 985D9304-E4DA-4038-B235-067CBFEAC902 4 0.0000 0.84590 0.000 0.000 0.000 1.000
#> D34CE243-6F4F-4158-9FC4-77E1640E8A91 4 0.4888 -0.11908 0.000 0.412 0.000 0.588
#> 65131575-48D3-42C2-B411-3DB871EF5EE1 4 0.4040 0.63112 0.248 0.000 0.000 0.752
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#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.0000 0.90804 0.000 0.000 1.000 0.000
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.3123 0.86459 0.844 0.000 0.000 0.156
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 2 0.3305 0.72887 0.000 0.776 0.000 0.224 0.000
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.0451 0.90938 0.000 0.004 0.988 0.000 0.008
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 4 0.3177 0.73089 0.208 0.000 0.000 0.792 0.000
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 4 0.3876 0.51181 0.000 0.316 0.000 0.684 0.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 3 0.2170 0.83852 0.004 0.004 0.904 0.000 0.088
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 1 0.3521 0.67850 0.764 0.000 0.000 0.004 0.232
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 3 0.3715 0.57881 0.000 0.260 0.736 0.000 0.004
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 4 0.0290 0.86420 0.008 0.000 0.000 0.992 0.000
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 4 0.0162 0.86494 0.004 0.000 0.000 0.996 0.000
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.0451 0.86071 0.000 0.988 0.008 0.004 0.000
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.0510 0.86649 0.000 0.984 0.000 0.016 0.000
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.0451 0.91062 0.000 0.008 0.988 0.000 0.004
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 3 0.4425 -0.08530 0.000 0.004 0.544 0.000 0.452
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 4 0.0162 0.86494 0.004 0.000 0.000 0.996 0.000
#> ECB2DF14-CF68-44D4-8719-973AE448B992 5 0.4307 0.20289 0.000 0.000 0.496 0.000 0.504
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 2 0.0404 0.86579 0.000 0.988 0.000 0.012 0.000
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 3 0.3461 0.64095 0.000 0.004 0.772 0.000 0.224
#> 3282F146-2782-4877-9EFE-6020AC277A8C 4 0.1197 0.84231 0.000 0.048 0.000 0.952 0.000
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 4 0.0162 0.86494 0.004 0.000 0.000 0.996 0.000
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 1 0.4084 0.53881 0.668 0.000 0.000 0.004 0.328
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 4 0.3961 0.65018 0.016 0.248 0.000 0.736 0.000
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 4 0.2361 0.80578 0.012 0.000 0.000 0.892 0.096
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 4 0.4227 0.24170 0.000 0.420 0.000 0.580 0.000
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 5 0.4294 0.33340 0.000 0.000 0.468 0.000 0.532
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 3 0.2017 0.85401 0.000 0.008 0.912 0.000 0.080
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 5 0.3003 0.63070 0.000 0.000 0.188 0.000 0.812
#> C945DDA9-0194-46F4-89E2-13883284D5A4 3 0.0579 0.91038 0.000 0.008 0.984 0.000 0.008
#> 79B11925-9772-474F-A729-D00315959710 1 0.0794 0.93723 0.972 0.000 0.000 0.028 0.000
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 4 0.0162 0.86494 0.004 0.000 0.000 0.996 0.000
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 5 0.4415 0.38198 0.000 0.004 0.444 0.000 0.552
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 1 0.0794 0.93366 0.972 0.000 0.000 0.028 0.000
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.0794 0.93723 0.972 0.000 0.000 0.028 0.000
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 4 0.0162 0.86494 0.004 0.000 0.000 0.996 0.000
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 3 0.4354 0.25618 0.000 0.008 0.624 0.000 0.368
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.0451 0.91062 0.000 0.008 0.988 0.000 0.004
#> 26796E5F-C0C2-466C-9012-882F6D29C149 3 0.1202 0.89352 0.004 0.032 0.960 0.000 0.004
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 5 0.0955 0.57042 0.028 0.000 0.000 0.004 0.968
#> 1492D21A-6458-4B49-B530-7A327FCDD031 1 0.0794 0.93723 0.972 0.000 0.000 0.028 0.000
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 4 0.3508 0.68693 0.252 0.000 0.000 0.748 0.000
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 4 0.0162 0.86370 0.000 0.004 0.000 0.996 0.000
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.0794 0.93723 0.972 0.000 0.000 0.028 0.000
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 5 0.1652 0.59218 0.004 0.008 0.040 0.004 0.944
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 4 0.0290 0.86451 0.008 0.000 0.000 0.992 0.000
#> E846120D-D9E6-46F8-9647-2272AB064072 5 0.4446 0.29441 0.000 0.004 0.476 0.000 0.520
#> 36880C8C-91A9-49A9-A2D5-957161737F31 4 0.3291 0.78906 0.040 0.120 0.000 0.840 0.000
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 4 0.0162 0.86494 0.004 0.000 0.000 0.996 0.000
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 4 0.4287 0.20932 0.460 0.000 0.000 0.540 0.000
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 5 0.0451 0.57280 0.008 0.000 0.000 0.004 0.988
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 1 0.0794 0.93723 0.972 0.000 0.000 0.028 0.000
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 1 0.0794 0.93723 0.972 0.000 0.000 0.028 0.000
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 3 0.2890 0.75161 0.000 0.004 0.836 0.000 0.160
#> 116F3F29-AB89-4F00-9003-559041E285EB 3 0.0833 0.90571 0.004 0.016 0.976 0.000 0.004
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.0671 0.86592 0.000 0.980 0.000 0.016 0.004
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 5 0.4883 0.30828 0.016 0.004 0.464 0.000 0.516
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 4 0.0162 0.86370 0.000 0.004 0.000 0.996 0.000
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 4 0.2280 0.80624 0.120 0.000 0.000 0.880 0.000
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 1 0.3160 0.73199 0.808 0.000 0.000 0.004 0.188
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 2 0.0404 0.86579 0.000 0.988 0.000 0.012 0.000
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 3 0.0404 0.91021 0.000 0.012 0.988 0.000 0.000
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.0794 0.93723 0.972 0.000 0.000 0.028 0.000
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 3 0.0451 0.91062 0.000 0.008 0.988 0.000 0.004
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 4 0.1697 0.83801 0.008 0.060 0.000 0.932 0.000
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 3 0.0566 0.90926 0.000 0.004 0.984 0.000 0.012
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 5 0.3109 0.63161 0.000 0.000 0.200 0.000 0.800
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 2 0.0963 0.86126 0.000 0.964 0.000 0.036 0.000
#> CD576099-5450-4232-9B59-08341BED8FFA 4 0.0162 0.86370 0.000 0.004 0.000 0.996 0.000
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 2 0.0510 0.86649 0.000 0.984 0.000 0.016 0.000
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 1 0.0794 0.93723 0.972 0.000 0.000 0.028 0.000
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 1 0.4276 0.42615 0.616 0.000 0.000 0.004 0.380
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 2 0.4088 0.45427 0.000 0.632 0.000 0.368 0.000
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 2 0.3123 0.76477 0.000 0.812 0.000 0.184 0.004
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 3 0.0451 0.90974 0.000 0.008 0.988 0.000 0.004
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 1 0.0794 0.93723 0.972 0.000 0.000 0.028 0.000
#> 57E380FC-B6AB-466F-9936-D52192888008 1 0.1197 0.92276 0.952 0.000 0.000 0.048 0.000
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 4 0.0162 0.86370 0.000 0.004 0.000 0.996 0.000
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 1 0.0794 0.93723 0.972 0.000 0.000 0.028 0.000
#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 2 0.2624 0.77706 0.000 0.872 0.116 0.012 0.000
#> 1D4F0B66-720D-484D-B8D5-2B290ED208A8 3 0.0451 0.90974 0.000 0.008 0.988 0.000 0.004
#> C886CA33-5080-4E3E-88A2-F9A3CF03A857 3 0.0865 0.90394 0.000 0.004 0.972 0.000 0.024
#> 9AC963E4-F82D-460E-9CAD-C651B879780A 4 0.0162 0.86494 0.004 0.000 0.000 0.996 0.000
#> 1B6CF403-D0AE-4FFE-A884-660A58F32660 3 0.5100 0.44188 0.068 0.004 0.672 0.000 0.256
#> B33316E1-11FD-4C10-956A-C9C6F78508C5 5 0.2255 0.60260 0.008 0.012 0.060 0.004 0.916
#> BB02EF6A-C57D-4A79-99C1-ED43A72FFAF7 2 0.2179 0.81774 0.000 0.888 0.000 0.112 0.000
#> 4DBA59AD-9393-4BE6-88CB-852C62C4A334 3 0.0404 0.91021 0.000 0.012 0.988 0.000 0.000
#> 7887EDC4-A0D7-4E57-B3A1-330A5683457D 1 0.1121 0.92571 0.956 0.000 0.000 0.044 0.000
#> 2CD3AC14-46FB-4260-AE5C-4305C68D49BC 4 0.0703 0.86008 0.024 0.000 0.000 0.976 0.000
#> BAB8FA79-208A-488D-B955-806263E5D6BB 4 0.0162 0.86494 0.004 0.000 0.000 0.996 0.000
#> 98C990E7-7E3B-4200-A88D-E641931302EA 1 0.0794 0.93723 0.972 0.000 0.000 0.028 0.000
#> 894EE382-5ACA-4DEB-9267-99ADBEF6DA19 4 0.0162 0.86370 0.000 0.004 0.000 0.996 0.000
#> 98795F95-D26D-438A-AF46-B3BC3553F020 3 0.0671 0.90755 0.000 0.004 0.980 0.000 0.016
#> 9AD4C328-1554-4C92-931C-30CE8F305FDE 1 0.1597 0.89510 0.940 0.000 0.000 0.012 0.048
#> 4D1518D9-D968-4E7F-A702-5157A1A2E83E 1 0.0794 0.93723 0.972 0.000 0.000 0.028 0.000
#> A6E8AF8C-5D7B-4197-990B-786A869ACB96 1 0.0794 0.93723 0.972 0.000 0.000 0.028 0.000
#> DF8B4E19-8C78-4A68-8FAE-DFF01076BC97 3 0.0579 0.91060 0.000 0.008 0.984 0.000 0.008
#> 8D2C608F-3280-4CA2-B996-9AE3DBDBBD28 3 0.0451 0.91062 0.000 0.008 0.988 0.000 0.004
#> E7BCBD8D-1219-4A99-948A-47A258A5CD8B 4 0.3999 0.51877 0.344 0.000 0.000 0.656 0.000
#> 2C9633A5-8ACB-4D16-8120-F098BA14BB04 4 0.2329 0.80294 0.124 0.000 0.000 0.876 0.000
#> 985D9304-E4DA-4038-B235-067CBFEAC902 4 0.0324 0.86451 0.004 0.004 0.000 0.992 0.000
#> D34CE243-6F4F-4158-9FC4-77E1640E8A91 2 0.4235 0.30343 0.000 0.576 0.000 0.424 0.000
#> 65131575-48D3-42C2-B411-3DB871EF5EE1 4 0.1544 0.84238 0.068 0.000 0.000 0.932 0.000
#> 1AE13DFA-670C-43EE-9898-8FA831AEDDB3 3 0.0404 0.91021 0.000 0.012 0.988 0.000 0.000
#> 3ACDCD29-1B8D-455D-9EE9-D6C903B16D09 1 0.0794 0.93723 0.972 0.000 0.000 0.028 0.000
#> C6FBC35B-0113-4F00-BE1A-831D2C551055 1 0.3724 0.76808 0.788 0.000 0.000 0.028 0.184
#> A8F3285D-A85E-4E73-9D20-9D14AA51916B 3 0.0404 0.91021 0.000 0.012 0.988 0.000 0.000
#> 51601A73-2D75-4056-AEBB-8FF8DB813450 3 0.0324 0.91004 0.000 0.004 0.992 0.000 0.004
#> 75021778-A96B-4F57-8C26-68E8F33D7EB7 4 0.0162 0.86494 0.004 0.000 0.000 0.996 0.000
#> 71FFB439-22A1-4EBB-AEA6-A6BCA8CA6648 3 0.0451 0.91062 0.000 0.008 0.988 0.000 0.004
#> BEDB0135-0A26-44EF-9028-C4907403B110 3 0.0898 0.90368 0.000 0.008 0.972 0.000 0.020
#> 3B8BA56B-0E7B-4754-8729-8D613D0484E1 1 0.1082 0.90517 0.964 0.000 0.000 0.008 0.028
#> 100BF963-6103-45E6-A760-E44649580CF5 4 0.3612 0.66112 0.268 0.000 0.000 0.732 0.000
#> C26F21EA-5911-483F-BF64-03904BF93A20 2 0.4294 0.12201 0.000 0.532 0.000 0.468 0.000
#> 9E50162D-8149-41D2-86C1-1C892EB98DFA 4 0.0162 0.86494 0.004 0.000 0.000 0.996 0.000
#> 09521B29-B002-4AAD-93F1-6E600DD31515 2 0.0510 0.86649 0.000 0.984 0.000 0.016 0.000
#> 45FD44A6-7976-4453-BD3F-99D21DA3ECC2 3 0.4171 0.13978 0.000 0.000 0.604 0.000 0.396
#> 9EE0976F-1422-4F65-8837-93A192984CDF 3 0.0324 0.91091 0.000 0.004 0.992 0.000 0.004
#> 2FBAA1AA-39F7-4C58-A7DA-76B1F4B26B2E 4 0.3586 0.66694 0.264 0.000 0.000 0.736 0.000
#> B7A695A4-0B74-41E9-8662-4010C8CA38F0 1 0.0880 0.93462 0.968 0.000 0.000 0.032 0.000
#> E9013476-D037-41EA-921E-E9E62E93B75C 5 0.2674 0.53912 0.140 0.000 0.000 0.004 0.856
#> 13FD88E9-3B06-4CB6-949F-395DDDE4B75B 4 0.0794 0.85865 0.028 0.000 0.000 0.972 0.000
#> 9103E60E-D1FC-4F0F-B2CD-751921E14EBA 3 0.3010 0.74190 0.000 0.004 0.824 0.000 0.172
#> 4AEFB9F1-A55D-472E-A963-5BB3364D9D8C 4 0.2074 0.80630 0.000 0.104 0.000 0.896 0.000
#> 05B80211-2230-436E-BA34-FD48337A5DE0 4 0.6097 0.09150 0.124 0.420 0.000 0.456 0.000
#> 6B206166-85BC-4A1A-BDD2-B249652FC09E 1 0.0794 0.93723 0.972 0.000 0.000 0.028 0.000
#> 3EA60F08-5232-4A97-A656-2A0A2F5CED07 3 0.0290 0.91062 0.000 0.008 0.992 0.000 0.000
#> 9C55C086-682B-4D21-9C77-085CFE45A07E 1 0.3112 0.84269 0.856 0.000 0.000 0.044 0.100
#> B0CE5521-96E9-4087-89EE-309D785C0F96 3 0.0404 0.91021 0.000 0.012 0.988 0.000 0.000
#> 6BF76FE6-F1DA-48F2-B55D-CB106905EA8F 3 0.0404 0.91021 0.000 0.012 0.988 0.000 0.000
#> D2ECDADA-9D0D-4044-8C61-353CCE45C0E6 4 0.4184 0.69512 0.004 0.176 0.000 0.772 0.048
#> 9565D04D-EC61-4EF8-8519-0D84CFB0C794 4 0.3366 0.70377 0.232 0.000 0.000 0.768 0.000
#> EBAFE057-B387-4D2B-8D91-25C83221816D 4 0.0162 0.86494 0.004 0.000 0.000 0.996 0.000
#> 2CDB897D-ABAF-4EBB-837C-05CC7691D20E 1 0.0794 0.93723 0.972 0.000 0.000 0.028 0.000
#> FD2F4E8A-F89C-4016-B275-13FC6B4121E9 4 0.0162 0.86494 0.004 0.000 0.000 0.996 0.000
#> 1E27DDFF-D487-4CBF-80BC-506CC7C7C74D 2 0.2424 0.80072 0.000 0.868 0.000 0.132 0.000
#> 1DD990EF-74A8-4503-B801-C01D6C171E2E 2 0.3815 0.74990 0.000 0.824 0.088 0.008 0.080
#> 4D2DF3FF-343A-4D29-9230-015131B45BD2 4 0.3305 0.67235 0.000 0.224 0.000 0.776 0.000
#> B9949248-D762-4591-B8D6-C296C2B28D8C 3 0.0290 0.91064 0.000 0.008 0.992 0.000 0.000
#> 2D839843-4C8D-400D-8EFF-2BF9B94A27AA 3 0.0898 0.90566 0.000 0.020 0.972 0.000 0.008
#> 78C429CC-D631-43EA-9049-DAC326C98BDD 4 0.6738 -0.04150 0.008 0.360 0.000 0.440 0.192
#> 71241674-DF93-4CA0-A81D-AF85B6479F62 4 0.1197 0.85180 0.048 0.000 0.000 0.952 0.000
#> 76277FC9-E447-49A4-9407-81917C90ECBD 4 0.4114 0.43164 0.376 0.000 0.000 0.624 0.000
#> 79DE0216-2CBB-4057-AC90-0366A494F106 1 0.0794 0.93723 0.972 0.000 0.000 0.028 0.000
#> 3B842084-AE30-4666-B80A-8FA36EF628F3 1 0.3561 0.66468 0.740 0.000 0.000 0.260 0.000
#> 57200367-96F1-48B9-AB7F-DC11EFE866C4 1 0.4810 0.65348 0.712 0.000 0.000 0.204 0.084
#> 219B7654-6065-41D3-964B-C829364CD87B 3 0.0324 0.91004 0.000 0.004 0.992 0.000 0.004
#> 26923D9B-CE8E-400E-93CD-E0EE1401CB9D 4 0.0162 0.86370 0.000 0.004 0.000 0.996 0.000
#> 21B783EB-B0D0-4B28-9468-D0B130D13E26 3 0.0404 0.91021 0.000 0.012 0.988 0.000 0.000
#> 67D465A4-8068-4325-ABC5-5917B7D726BB 2 0.0510 0.86649 0.000 0.984 0.000 0.016 0.000
#> 30A8ABA0-ECB4-4B44-9630-5FFF862A157F 2 0.2450 0.83524 0.000 0.896 0.000 0.076 0.028
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#> 4CCA3104-B557-403D-AC06-A6D4936DDC04 3 0.0671 0.90755 0.000 0.004 0.980 0.000 0.016
#> 77D4165E-7CB1-4D69-AFE5-C8D914531651 4 0.4451 -0.04428 0.000 0.492 0.000 0.504 0.004
#> BA12A05A-622A-424D-8108-3F5916405EB0 3 0.4367 0.28329 0.000 0.008 0.620 0.000 0.372
#> DED4EA4D-9DC2-4419-83EC-2BFE75DC1830 2 0.0510 0.86649 0.000 0.984 0.000 0.016 0.000
#> 13A35364-57C5-4F5A-B077-3BA2689BFDD3 1 0.1121 0.92486 0.956 0.000 0.000 0.044 0.000
#> 2641B816-1D21-496E-85AD-1C690C9146A6 3 0.0451 0.91062 0.000 0.008 0.988 0.000 0.004
#> 96E2AD09-7287-4B91-840E-81444A61D56F 3 0.0451 0.90974 0.000 0.008 0.988 0.000 0.004
#> 62F3327F-FB16-4AD0-BCF5-B180F28281A9 4 0.2020 0.82147 0.100 0.000 0.000 0.900 0.000
#> 112F7032-0212-4939-9449-D67E3600CCD5 3 0.0451 0.90974 0.000 0.008 0.988 0.000 0.004
#> A3B4DE21-DDF0-4468-A300-7BECBAFD0BCD 1 0.0794 0.93723 0.972 0.000 0.000 0.028 0.000
#> 0A03E593-6931-419C-AE47-51D75185C2C0 3 0.0404 0.91021 0.000 0.012 0.988 0.000 0.000
#> 2416A3DC-A563-4FD1-A139-0E6EF7185211 4 0.0162 0.86494 0.004 0.000 0.000 0.996 0.000
#> 18B29573-822C-405F-B793-DBC8924866CE 4 0.2424 0.78213 0.000 0.132 0.000 0.868 0.000
#> 994EC227-B239-4CEE-AC96-EB5CC0AF583E 5 0.4359 0.09650 0.412 0.000 0.000 0.004 0.584
#> 950933A3-5757-4914-9DC5-C220C2A455FD 3 0.0324 0.91004 0.000 0.004 0.992 0.000 0.004
#> DBDFE95C-F941-407A-BE7D-D43D50143C4D 3 0.4101 0.39914 0.000 0.004 0.664 0.000 0.332
#> D024393C-29D0-41C4-AB86-7E94581FDD26 4 0.0162 0.86370 0.000 0.004 0.000 0.996 0.000
#> 4975AB35-93E5-400D-A429-CEA81BA89FFE 5 0.1124 0.57080 0.036 0.000 0.000 0.004 0.960
#> 666ADCA2-1AE4-4843-B1C8-8EE29C44AE74 1 0.1282 0.88612 0.952 0.000 0.000 0.004 0.044
#> A8F79C08-3943-4707-ADCB-890A955B5394 4 0.0963 0.85631 0.036 0.000 0.000 0.964 0.000
#> A81614ED-14CB-4EBC-988E-F67FBCBF62D8 2 0.0162 0.85953 0.000 0.996 0.004 0.000 0.000
#> E27E65C8-5B57-4C91-9D20-C075AEA2F2C5 5 0.1831 0.56777 0.076 0.000 0.000 0.004 0.920
#> 745F18CA-080D-42FE-BAA6-89AD7E3D3408 4 0.0162 0.86494 0.004 0.000 0.000 0.996 0.000
#> E755A625-799D-4A39-9D56-080228E0B669 1 0.3268 0.83955 0.868 0.032 0.000 0.068 0.032
#> 3D94EFB8-94D4-4FDE-97D8-18A159279996 3 0.0451 0.91062 0.000 0.008 0.988 0.000 0.004
#> 3D305C2E-6C86-4684-AA2A-155291AB4CC3 1 0.0794 0.93723 0.972 0.000 0.000 0.028 0.000
#> E140052A-5434-4C44-9873-0318D1D272CA 4 0.0162 0.86494 0.004 0.000 0.000 0.996 0.000
#> 68E56692-D46D-4A27-86CD-717E10AADDDA 3 0.0404 0.91021 0.000 0.012 0.988 0.000 0.000
#> 00A0586E-5F05-47B3-925C-87E811B0893B 3 0.0579 0.90985 0.000 0.008 0.984 0.000 0.008
#> E2B019A7-7C95-40FE-800C-D30E9730825C 1 0.3550 0.67096 0.760 0.000 0.000 0.004 0.236
#> 1B9ABB69-5CC6-4B6B-ABBC-71CC3274C7F0 1 0.0794 0.93723 0.972 0.000 0.000 0.028 0.000
#> FAE396AA-3C3C-4AF9-953D-385C41B2DB5B 1 0.0794 0.93723 0.972 0.000 0.000 0.028 0.000
#> 6BE4397D-1E5B-4486-83B4-EE0EC146C805 4 0.1544 0.83228 0.000 0.068 0.000 0.932 0.000
#> EE38BD4E-5A08-4639-912F-04203F53762F 1 0.0794 0.93723 0.972 0.000 0.000 0.028 0.000
#> 4050E7F8-80B6-46F2-8FF0-D4EC313E975B 3 0.0451 0.90995 0.000 0.004 0.988 0.000 0.008
#> F3565161-FFBE-4138-9773-558DB386710C 1 0.0794 0.93723 0.972 0.000 0.000 0.028 0.000
#> BA9ABEB1-D3F0-4F09-A647-25211C47C3D0 4 0.2852 0.74171 0.000 0.172 0.000 0.828 0.000
#> 9E41E79A-4028-4F60-8250-411F191B665C 1 0.0794 0.93723 0.972 0.000 0.000 0.028 0.000
#> 5F1D3EFD-ECDA-4C92-8D81-491484F09C95 3 0.3690 0.62095 0.000 0.012 0.764 0.000 0.224
#> 0DBA04CB-417D-4E2B-BE83-3563F45291C4 1 0.0794 0.93723 0.972 0.000 0.000 0.028 0.000
#> B9B882A5-194B-4F5C-B702-0CF71CA6D9D2 4 0.0324 0.86366 0.004 0.004 0.000 0.992 0.000
#> 67FE7638-B8F5-4631-B178-AC23B0382983 1 0.0955 0.93491 0.968 0.000 0.000 0.028 0.004
#> FE03FC2C-9A4E-4F89-8681-E33DFECCC692 3 0.4135 0.36033 0.000 0.004 0.656 0.000 0.340
#> 2B22B4B7-8A39-435C-BE3B-86FA84C8F941 3 0.0404 0.91021 0.000 0.012 0.988 0.000 0.000
#> 00844B35-C108-4AEC-A687-4A91A2F33E6D 1 0.0794 0.93723 0.972 0.000 0.000 0.028 0.000
#> C221EE7A-6343-4B6D-B322-0A2C0F0B29AF 1 0.0794 0.93723 0.972 0.000 0.000 0.028 0.000
#> B28A6D56-7654-4829-BF1F-657C3C2C10D8 5 0.2813 0.62937 0.000 0.000 0.168 0.000 0.832
#> F4C7BCEC-3CD4-4D9A-89EA-0ED58EA0DCFE 1 0.0794 0.93723 0.972 0.000 0.000 0.028 0.000
#> F06FBFAB-D143-47AE-BEE7-51B48164764F 5 0.4264 0.48803 0.000 0.004 0.376 0.000 0.620
#> 525F522B-E865-4479-AE65-510903ABF46F 3 0.0404 0.91021 0.000 0.012 0.988 0.000 0.000
#> F0CB60E3-C412-46A2-918F-8C5C099AB224 1 0.4242 0.21167 0.572 0.000 0.000 0.428 0.000
#> 587F307F-6E1B-487E-8E47-A99AB43DC5B4 3 0.0566 0.90905 0.000 0.004 0.984 0.000 0.012
#> 883D9145-8414-4571-A3E1-516F03452C46 5 0.2732 0.62893 0.000 0.000 0.160 0.000 0.840
#> 4A917271-7EA0-4F43-B474-7F5EA756EB05 1 0.0794 0.93723 0.972 0.000 0.000 0.028 0.000
#> BB33015D-218C-4A1E-8839-95837D6E9B88 1 0.2732 0.80347 0.840 0.000 0.000 0.160 0.000
#> 021CC81F-710D-4EEA-B1D8-012A81715ACC 1 0.0794 0.93723 0.972 0.000 0.000 0.028 0.000
#> B00C4925-47E3-4442-ABEB-82D714A26587 1 0.7373 -0.18011 0.404 0.028 0.216 0.004 0.348
#> F79B27D3-0426-47BB-9756-7E0759246E5E 3 0.3231 0.69231 0.000 0.196 0.800 0.000 0.004
#> 1F179559-D93E-491C-B499-64F86C31DAE0 3 0.4452 -0.24202 0.000 0.004 0.500 0.000 0.496
#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 3 0.3353 0.70500 0.000 0.008 0.796 0.000 0.196
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 3 0.2304 0.82408 0.000 0.008 0.892 0.000 0.100
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 3 0.2843 0.76434 0.000 0.008 0.848 0.000 0.144
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 2 0.0771 0.85225 0.000 0.976 0.020 0.000 0.004
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 1 0.0794 0.93723 0.972 0.000 0.000 0.028 0.000
#> ED9794C0-AC60-4B54-8214-D26714871BBF 1 0.1197 0.88165 0.952 0.000 0.000 0.000 0.048
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 4 0.0162 0.86370 0.000 0.004 0.000 0.996 0.000
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 4 0.0162 0.86494 0.004 0.000 0.000 0.996 0.000
#> 18D816AF-394A-482F-B22E-896A43B1E481 4 0.1851 0.81824 0.000 0.088 0.000 0.912 0.000
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 1 0.1478 0.90686 0.936 0.000 0.000 0.064 0.000
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 3 0.0290 0.91062 0.000 0.008 0.992 0.000 0.000
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 4 0.2648 0.76261 0.000 0.152 0.000 0.848 0.000
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 5 0.4310 0.46891 0.000 0.004 0.392 0.000 0.604
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 4 0.0963 0.85641 0.036 0.000 0.000 0.964 0.000
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 2 0.0486 0.86161 0.000 0.988 0.004 0.004 0.004
#> 7E809698-2473-4EFE-B896-1637983EC596 4 0.0162 0.86370 0.000 0.004 0.000 0.996 0.000
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 3 0.0324 0.91091 0.000 0.004 0.992 0.000 0.004
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 3 0.0451 0.91062 0.000 0.008 0.988 0.000 0.004
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 2 0.2074 0.78979 0.000 0.896 0.104 0.000 0.000
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.0794 0.93723 0.972 0.000 0.000 0.028 0.000
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.0609 0.93070 0.980 0.000 0.000 0.020 0.000
#> 73F28A79-7D35-4FE9-849D-FFE681483928 1 0.0880 0.93462 0.968 0.000 0.000 0.032 0.000
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 5 0.4425 0.05761 0.452 0.004 0.000 0.000 0.544
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 3 0.1205 0.88984 0.000 0.004 0.956 0.000 0.040
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 3 0.3642 0.61222 0.000 0.008 0.760 0.000 0.232
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.3715 0.52990 0.000 0.736 0.260 0.000 0.004
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.0794 0.93723 0.972 0.000 0.000 0.028 0.000
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 1 0.1043 0.92906 0.960 0.000 0.000 0.040 0.000
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 5 0.3300 0.49720 0.204 0.000 0.000 0.004 0.792
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 5 0.4299 0.47263 0.000 0.004 0.388 0.000 0.608
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.0324 0.91004 0.000 0.004 0.992 0.000 0.004
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.0794 0.93723 0.972 0.000 0.000 0.028 0.000
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 4 0.3003 0.74770 0.188 0.000 0.000 0.812 0.000
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 4 0.0404 0.85877 0.000 0.012 0.000 0.988 0.000
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 3 0.4307 0.00824 0.000 0.496 0.504 0.000 0.000
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 2 0.2583 0.79403 0.004 0.864 0.000 0.132 0.000
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 4 0.1478 0.84287 0.064 0.000 0.000 0.936 0.000
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 5 0.7989 -0.00642 0.144 0.140 0.000 0.320 0.396
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 4 0.1851 0.82899 0.088 0.000 0.000 0.912 0.000
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.0794 0.93723 0.972 0.000 0.000 0.028 0.000
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.0671 0.90814 0.000 0.004 0.980 0.000 0.016
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 5 0.4440 0.32213 0.000 0.004 0.468 0.000 0.528
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.0794 0.93723 0.972 0.000 0.000 0.028 0.000
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 5 0.0992 0.58993 0.008 0.000 0.024 0.000 0.968
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 4 0.4278 0.13321 0.000 0.452 0.000 0.548 0.000
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 3 0.1764 0.86567 0.000 0.008 0.928 0.000 0.064
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.0794 0.93723 0.972 0.000 0.000 0.028 0.000
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 5 0.3616 0.45659 0.224 0.000 0.004 0.004 0.768
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.0794 0.93723 0.972 0.000 0.000 0.028 0.000
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 4 0.2561 0.78971 0.144 0.000 0.000 0.856 0.000
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 4 0.0162 0.86494 0.004 0.000 0.000 0.996 0.000
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 4 0.0404 0.86323 0.012 0.000 0.000 0.988 0.000
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 4 0.0162 0.86370 0.000 0.004 0.000 0.996 0.000
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 3 0.0451 0.90974 0.000 0.008 0.988 0.000 0.004
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 3 0.0579 0.90918 0.000 0.008 0.984 0.000 0.008
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 5 0.2471 0.62523 0.000 0.000 0.136 0.000 0.864
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 3 0.4455 0.12009 0.000 0.008 0.588 0.000 0.404
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 3 0.1484 0.88157 0.000 0.008 0.944 0.000 0.048
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 3 0.0404 0.91021 0.000 0.012 0.988 0.000 0.000
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.3730 0.61419 0.000 0.712 0.000 0.288 0.000
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 3 0.1282 0.88469 0.000 0.044 0.952 0.000 0.004
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.0404 0.91021 0.000 0.012 0.988 0.000 0.000
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 4 0.4351 0.74567 0.100 0.132 0.000 0.768 0.000
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 4 0.0162 0.86494 0.004 0.000 0.000 0.996 0.000
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 4 0.0162 0.86370 0.000 0.004 0.000 0.996 0.000
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.0671 0.90755 0.000 0.004 0.980 0.000 0.016
#> CA356591-D24F-41A8-8C9A-1178C7781510 3 0.4182 0.32025 0.000 0.400 0.600 0.000 0.000
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.0451 0.91062 0.000 0.008 0.988 0.000 0.004
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.0794 0.93723 0.972 0.000 0.000 0.028 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 2 0.4655 0.6145 0.000 0.704 0.000 0.216 0.032 0.048
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.3563 0.5545 0.000 0.000 0.664 0.000 0.000 0.336
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 4 0.3014 0.7280 0.184 0.000 0.000 0.804 0.012 0.000
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 4 0.3584 0.5037 0.000 0.308 0.000 0.688 0.000 0.004
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 6 0.4783 0.3480 0.000 0.000 0.308 0.000 0.076 0.616
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 1 0.4277 0.5538 0.700 0.000 0.000 0.000 0.236 0.064
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 3 0.5647 0.4365 0.000 0.144 0.592 0.000 0.020 0.244
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 4 0.0146 0.8542 0.000 0.000 0.000 0.996 0.004 0.000
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 4 0.0146 0.8541 0.000 0.000 0.000 0.996 0.000 0.004
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.0291 0.7798 0.000 0.992 0.000 0.000 0.004 0.004
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.0146 0.7805 0.000 0.996 0.000 0.000 0.004 0.000
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.1007 0.7848 0.000 0.000 0.956 0.000 0.000 0.044
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 6 0.4020 0.5778 0.000 0.000 0.276 0.000 0.032 0.692
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 4 0.0146 0.8541 0.000 0.000 0.000 0.996 0.000 0.004
#> ECB2DF14-CF68-44D4-8719-973AE448B992 3 0.5804 -0.0845 0.000 0.000 0.456 0.000 0.356 0.188
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 2 0.0000 0.7804 0.000 1.000 0.000 0.000 0.000 0.000
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 6 0.3961 0.2241 0.000 0.000 0.440 0.000 0.004 0.556
#> 3282F146-2782-4877-9EFE-6020AC277A8C 4 0.1155 0.8389 0.000 0.036 0.000 0.956 0.004 0.004
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 4 0.0146 0.8544 0.004 0.000 0.000 0.996 0.000 0.000
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 5 0.3969 0.4568 0.332 0.000 0.000 0.000 0.652 0.016
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 4 0.5575 0.5727 0.004 0.176 0.000 0.660 0.056 0.104
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#> 0A03E593-6931-419C-AE47-51D75185C2C0 3 0.0547 0.7866 0.000 0.000 0.980 0.000 0.000 0.020
#> 2416A3DC-A563-4FD1-A139-0E6EF7185211 4 0.0146 0.8541 0.000 0.000 0.000 0.996 0.000 0.004
#> 18B29573-822C-405F-B793-DBC8924866CE 4 0.2558 0.7436 0.000 0.156 0.000 0.840 0.000 0.004
#> 994EC227-B239-4CEE-AC96-EB5CC0AF583E 5 0.5536 0.4886 0.300 0.000 0.000 0.000 0.536 0.164
#> 950933A3-5757-4914-9DC5-C220C2A455FD 3 0.2260 0.7610 0.000 0.000 0.860 0.000 0.000 0.140
#> DBDFE95C-F941-407A-BE7D-D43D50143C4D 6 0.3445 0.6475 0.000 0.000 0.244 0.000 0.012 0.744
#> D024393C-29D0-41C4-AB86-7E94581FDD26 4 0.0000 0.8543 0.000 0.000 0.000 1.000 0.000 0.000
#> 4975AB35-93E5-400D-A429-CEA81BA89FFE 5 0.2597 0.6135 0.000 0.000 0.000 0.000 0.824 0.176
#> 666ADCA2-1AE4-4843-B1C8-8EE29C44AE74 1 0.3835 0.6919 0.776 0.000 0.000 0.000 0.112 0.112
#> A8F79C08-3943-4707-ADCB-890A955B5394 4 0.1010 0.8456 0.036 0.000 0.000 0.960 0.000 0.004
#> A81614ED-14CB-4EBC-988E-F67FBCBF62D8 2 0.0260 0.7799 0.000 0.992 0.000 0.000 0.008 0.000
#> E27E65C8-5B57-4C91-9D20-C075AEA2F2C5 5 0.4886 0.3211 0.060 0.000 0.000 0.000 0.508 0.432
#> 745F18CA-080D-42FE-BAA6-89AD7E3D3408 4 0.0000 0.8543 0.000 0.000 0.000 1.000 0.000 0.000
#> E755A625-799D-4A39-9D56-080228E0B669 1 0.4155 0.7219 0.792 0.040 0.000 0.004 0.072 0.092
#> 3D94EFB8-94D4-4FDE-97D8-18A159279996 3 0.0790 0.7869 0.000 0.000 0.968 0.000 0.000 0.032
#> 3D305C2E-6C86-4684-AA2A-155291AB4CC3 1 0.0363 0.9103 0.988 0.000 0.000 0.012 0.000 0.000
#> E140052A-5434-4C44-9873-0318D1D272CA 4 0.0146 0.8541 0.000 0.000 0.000 0.996 0.000 0.004
#> 68E56692-D46D-4A27-86CD-717E10AADDDA 3 0.0363 0.7876 0.000 0.000 0.988 0.000 0.000 0.012
#> 00A0586E-5F05-47B3-925C-87E811B0893B 3 0.1007 0.7848 0.000 0.000 0.956 0.000 0.000 0.044
#> E2B019A7-7C95-40FE-800C-D30E9730825C 1 0.4549 0.5198 0.680 0.000 0.000 0.000 0.232 0.088
#> 1B9ABB69-5CC6-4B6B-ABBC-71CC3274C7F0 1 0.0363 0.9103 0.988 0.000 0.000 0.012 0.000 0.000
#> FAE396AA-3C3C-4AF9-953D-385C41B2DB5B 1 0.0260 0.9080 0.992 0.000 0.000 0.008 0.000 0.000
#> 6BE4397D-1E5B-4486-83B4-EE0EC146C805 4 0.1531 0.8204 0.000 0.068 0.000 0.928 0.000 0.004
#> EE38BD4E-5A08-4639-912F-04203F53762F 1 0.0363 0.9103 0.988 0.000 0.000 0.012 0.000 0.000
#> 4050E7F8-80B6-46F2-8FF0-D4EC313E975B 3 0.3426 0.6773 0.000 0.000 0.720 0.000 0.004 0.276
#> F3565161-FFBE-4138-9773-558DB386710C 1 0.0363 0.9103 0.988 0.000 0.000 0.012 0.000 0.000
#> BA9ABEB1-D3F0-4F09-A647-25211C47C3D0 4 0.3023 0.6734 0.000 0.212 0.000 0.784 0.000 0.004
#> 9E41E79A-4028-4F60-8250-411F191B665C 1 0.0363 0.9103 0.988 0.000 0.000 0.012 0.000 0.000
#> 5F1D3EFD-ECDA-4C92-8D81-491484F09C95 3 0.4125 0.6337 0.000 0.000 0.748 0.000 0.124 0.128
#> 0DBA04CB-417D-4E2B-BE83-3563F45291C4 1 0.0363 0.9103 0.988 0.000 0.000 0.012 0.000 0.000
#> B9B882A5-194B-4F5C-B702-0CF71CA6D9D2 4 0.0260 0.8530 0.000 0.008 0.000 0.992 0.000 0.000
#> 67FE7638-B8F5-4631-B178-AC23B0382983 1 0.1913 0.8634 0.908 0.000 0.000 0.012 0.080 0.000
#> FE03FC2C-9A4E-4F89-8681-E33DFECCC692 6 0.4249 0.6054 0.000 0.000 0.328 0.000 0.032 0.640
#> 2B22B4B7-8A39-435C-BE3B-86FA84C8F941 3 0.0363 0.7871 0.000 0.000 0.988 0.000 0.000 0.012
#> 00844B35-C108-4AEC-A687-4A91A2F33E6D 1 0.0363 0.9103 0.988 0.000 0.000 0.012 0.000 0.000
#> C221EE7A-6343-4B6D-B322-0A2C0F0B29AF 1 0.0363 0.9103 0.988 0.000 0.000 0.012 0.000 0.000
#> B28A6D56-7654-4829-BF1F-657C3C2C10D8 6 0.5176 0.2757 0.000 0.000 0.100 0.000 0.352 0.548
#> F4C7BCEC-3CD4-4D9A-89EA-0ED58EA0DCFE 1 0.0508 0.9090 0.984 0.000 0.000 0.012 0.004 0.000
#> F06FBFAB-D143-47AE-BEE7-51B48164764F 6 0.4910 0.6032 0.000 0.000 0.192 0.000 0.152 0.656
#> 525F522B-E865-4479-AE65-510903ABF46F 3 0.0146 0.7878 0.000 0.000 0.996 0.000 0.000 0.004
#> F0CB60E3-C412-46A2-918F-8C5C099AB224 1 0.4219 0.2959 0.592 0.000 0.000 0.388 0.020 0.000
#> 587F307F-6E1B-487E-8E47-A99AB43DC5B4 3 0.3371 0.6593 0.000 0.000 0.708 0.000 0.000 0.292
#> 883D9145-8414-4571-A3E1-516F03452C46 6 0.5282 0.3849 0.000 0.000 0.128 0.000 0.304 0.568
#> 4A917271-7EA0-4F43-B474-7F5EA756EB05 1 0.0363 0.9103 0.988 0.000 0.000 0.012 0.000 0.000
#> BB33015D-218C-4A1E-8839-95837D6E9B88 1 0.2553 0.7653 0.848 0.000 0.000 0.144 0.008 0.000
#> 021CC81F-710D-4EEA-B1D8-012A81715ACC 1 0.0363 0.9103 0.988 0.000 0.000 0.012 0.000 0.000
#> B00C4925-47E3-4442-ABEB-82D714A26587 5 0.8364 0.2130 0.284 0.064 0.140 0.000 0.300 0.212
#> F79B27D3-0426-47BB-9756-7E0759246E5E 3 0.5235 0.4753 0.000 0.128 0.608 0.000 0.004 0.260
#> 1F179559-D93E-491C-B499-64F86C31DAE0 3 0.5962 -0.3443 0.000 0.000 0.448 0.000 0.252 0.300
#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 3 0.4101 -0.0366 0.000 0.000 0.580 0.000 0.012 0.408
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 3 0.1610 0.7648 0.000 0.000 0.916 0.000 0.000 0.084
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 3 0.2178 0.7171 0.000 0.000 0.868 0.000 0.000 0.132
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 2 0.0881 0.7782 0.000 0.972 0.008 0.000 0.012 0.008
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 1 0.0363 0.9103 0.988 0.000 0.000 0.012 0.000 0.000
#> ED9794C0-AC60-4B54-8214-D26714871BBF 1 0.2499 0.8056 0.880 0.000 0.000 0.000 0.072 0.048
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 4 0.0000 0.8543 0.000 0.000 0.000 1.000 0.000 0.000
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 4 0.0146 0.8541 0.000 0.000 0.000 0.996 0.000 0.004
#> 18D816AF-394A-482F-B22E-896A43B1E481 4 0.1858 0.8025 0.000 0.092 0.000 0.904 0.000 0.004
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 1 0.0547 0.9066 0.980 0.000 0.000 0.020 0.000 0.000
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 3 0.0146 0.7889 0.000 0.000 0.996 0.000 0.000 0.004
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 4 0.2504 0.7622 0.000 0.136 0.000 0.856 0.004 0.004
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 6 0.4148 0.6476 0.000 0.000 0.208 0.000 0.068 0.724
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 4 0.1498 0.8414 0.028 0.000 0.000 0.940 0.032 0.000
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 2 0.0777 0.7749 0.000 0.972 0.000 0.000 0.024 0.004
#> 7E809698-2473-4EFE-B896-1637983EC596 4 0.0363 0.8528 0.000 0.000 0.000 0.988 0.012 0.000
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 3 0.2135 0.7665 0.000 0.000 0.872 0.000 0.000 0.128
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 3 0.1007 0.7848 0.000 0.000 0.956 0.000 0.000 0.044
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 2 0.2959 0.6885 0.000 0.844 0.124 0.000 0.008 0.024
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.0508 0.8937 0.984 0.000 0.000 0.000 0.004 0.012
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.0520 0.8938 0.984 0.000 0.000 0.000 0.008 0.008
#> 73F28A79-7D35-4FE9-849D-FFE681483928 1 0.1092 0.8980 0.960 0.000 0.000 0.020 0.020 0.000
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 6 0.5303 -0.1195 0.232 0.000 0.000 0.000 0.172 0.596
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 3 0.3810 0.2908 0.000 0.000 0.572 0.000 0.000 0.428
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 3 0.3390 0.4019 0.000 0.000 0.704 0.000 0.000 0.296
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.3955 0.3832 0.000 0.668 0.316 0.000 0.004 0.012
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.0363 0.9103 0.988 0.000 0.000 0.012 0.000 0.000
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 1 0.1138 0.8986 0.960 0.000 0.000 0.024 0.012 0.004
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 5 0.2542 0.6560 0.080 0.000 0.000 0.000 0.876 0.044
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 6 0.4633 0.6380 0.000 0.000 0.224 0.000 0.100 0.676
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.2491 0.7395 0.000 0.000 0.836 0.000 0.000 0.164
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.0363 0.9103 0.988 0.000 0.000 0.012 0.000 0.000
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 4 0.3081 0.6931 0.220 0.000 0.000 0.776 0.000 0.004
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 4 0.1141 0.8410 0.000 0.000 0.000 0.948 0.052 0.000
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 3 0.3853 0.3915 0.000 0.304 0.680 0.000 0.000 0.016
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 2 0.6721 0.4698 0.000 0.552 0.016 0.172 0.076 0.184
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 4 0.1610 0.8205 0.084 0.000 0.000 0.916 0.000 0.000
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 5 0.7581 0.3481 0.076 0.192 0.000 0.168 0.488 0.076
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 4 0.1958 0.8097 0.100 0.000 0.000 0.896 0.000 0.004
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.0363 0.9103 0.988 0.000 0.000 0.012 0.000 0.000
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.3737 0.4086 0.000 0.000 0.608 0.000 0.000 0.392
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 6 0.5228 0.5867 0.000 0.000 0.376 0.000 0.100 0.524
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.0363 0.9103 0.988 0.000 0.000 0.012 0.000 0.000
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 6 0.4346 0.1018 0.004 0.000 0.028 0.000 0.336 0.632
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 4 0.3991 0.0191 0.000 0.472 0.000 0.524 0.000 0.004
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 3 0.1895 0.7790 0.000 0.000 0.912 0.000 0.016 0.072
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.0363 0.9103 0.988 0.000 0.000 0.012 0.000 0.000
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 5 0.4282 0.6247 0.088 0.000 0.000 0.000 0.720 0.192
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.0363 0.9103 0.988 0.000 0.000 0.012 0.000 0.000
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 4 0.3934 0.7451 0.116 0.000 0.000 0.796 0.052 0.036
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 4 0.0000 0.8543 0.000 0.000 0.000 1.000 0.000 0.000
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 4 0.0865 0.8459 0.000 0.000 0.000 0.964 0.036 0.000
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 4 0.0146 0.8541 0.000 0.000 0.000 0.996 0.004 0.000
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 3 0.2597 0.7332 0.000 0.000 0.824 0.000 0.000 0.176
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 3 0.3970 0.5980 0.000 0.000 0.692 0.000 0.028 0.280
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 6 0.4996 0.3762 0.000 0.000 0.100 0.000 0.296 0.604
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 3 0.4692 -0.2880 0.000 0.000 0.512 0.000 0.044 0.444
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 3 0.2625 0.7516 0.000 0.000 0.872 0.000 0.056 0.072
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 3 0.0458 0.7866 0.000 0.000 0.984 0.000 0.000 0.016
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.4556 0.4874 0.000 0.624 0.000 0.336 0.024 0.016
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 3 0.2122 0.7450 0.000 0.040 0.912 0.000 0.040 0.008
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.0458 0.7869 0.000 0.000 0.984 0.000 0.000 0.016
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 4 0.4663 0.6636 0.132 0.164 0.000 0.700 0.000 0.004
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 4 0.0146 0.8542 0.000 0.000 0.000 0.996 0.004 0.000
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 4 0.0000 0.8543 0.000 0.000 0.000 1.000 0.000 0.000
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.3464 0.5899 0.000 0.000 0.688 0.000 0.000 0.312
#> CA356591-D24F-41A8-8C9A-1178C7781510 3 0.4035 0.4375 0.000 0.272 0.700 0.000 0.012 0.016
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.1007 0.7848 0.000 0.000 0.956 0.000 0.000 0.044
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.0363 0.9103 0.988 0.000 0.000 0.012 0.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["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 17888 rows and 430 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 0.995 0.950 0.980 0.4736 0.529 0.529
#> 3 3 0.657 0.729 0.856 0.3933 0.730 0.525
#> 4 4 0.538 0.577 0.714 0.0947 0.907 0.739
#> 5 5 0.618 0.524 0.761 0.0775 0.802 0.437
#> 6 6 0.668 0.601 0.789 0.0543 0.886 0.553
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
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 2 0.0000 0.9797 0.000 1.000
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 1 0.0000 0.9802 1.000 0.000
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 2 0.0000 0.9797 0.000 1.000
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.0000 0.9797 0.000 1.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 2 0.8386 0.6379 0.268 0.732
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 2 0.0000 0.9797 0.000 1.000
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 1 0.2043 0.9522 0.968 0.032
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 2 0.0000 0.9797 0.000 1.000
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.0000 0.9797 0.000 1.000
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 1 0.0376 0.9770 0.996 0.004
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.0000 0.9797 0.000 1.000
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 1 0.0000 0.9802 1.000 0.000
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.0000 0.9802 1.000 0.000
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.0000 0.9797 0.000 1.000
#> ECB2DF14-CF68-44D4-8719-973AE448B992 2 0.9087 0.5252 0.324 0.676
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 2 0.9983 0.0834 0.476 0.524
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 1 0.0000 0.9802 1.000 0.000
#> 3282F146-2782-4877-9EFE-6020AC277A8C 2 0.0000 0.9797 0.000 1.000
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 2 0.0000 0.9797 0.000 1.000
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 2 0.0000 0.9797 0.000 1.000
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.0000 0.9797 0.000 1.000
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 2 0.0000 0.9797 0.000 1.000
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.0000 0.9797 0.000 1.000
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 1 0.0000 0.9802 1.000 0.000
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 1 0.0000 0.9802 1.000 0.000
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 2 0.0938 0.9690 0.012 0.988
#> C945DDA9-0194-46F4-89E2-13883284D5A4 1 0.0000 0.9802 1.000 0.000
#> 79B11925-9772-474F-A729-D00315959710 2 0.0000 0.9797 0.000 1.000
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 2 0.0000 0.9797 0.000 1.000
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 1 0.0000 0.9802 1.000 0.000
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 2 0.0000 0.9797 0.000 1.000
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 2 0.0000 0.9797 0.000 1.000
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.0000 0.9797 0.000 1.000
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 1 0.0000 0.9802 1.000 0.000
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 1 0.0000 0.9802 1.000 0.000
#> 26796E5F-C0C2-466C-9012-882F6D29C149 2 0.1414 0.9617 0.020 0.980
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 2 0.0000 0.9797 0.000 1.000
#> 1492D21A-6458-4B49-B530-7A327FCDD031 2 0.0000 0.9797 0.000 1.000
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 2 0.0000 0.9797 0.000 1.000
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 2 0.0000 0.9797 0.000 1.000
#> B823982D-4102-4D21-B9CB-8C42830784F4 2 0.0000 0.9797 0.000 1.000
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 1 0.9896 0.2168 0.560 0.440
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.0000 0.9797 0.000 1.000
#> E846120D-D9E6-46F8-9647-2272AB064072 1 0.0000 0.9802 1.000 0.000
#> 36880C8C-91A9-49A9-A2D5-957161737F31 2 0.0000 0.9797 0.000 1.000
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.0000 0.9797 0.000 1.000
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 2 0.0000 0.9797 0.000 1.000
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 2 0.2236 0.9468 0.036 0.964
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 2 0.0000 0.9797 0.000 1.000
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 2 0.0000 0.9797 0.000 1.000
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 1 0.0000 0.9802 1.000 0.000
#> 116F3F29-AB89-4F00-9003-559041E285EB 1 0.1414 0.9632 0.980 0.020
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.9710 0.3290 0.400 0.600
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 2 0.6343 0.8053 0.160 0.840
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 2 0.0000 0.9797 0.000 1.000
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 2 0.0000 0.9797 0.000 1.000
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 2 0.0000 0.9797 0.000 1.000
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 2 0.8327 0.6411 0.264 0.736
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 1 0.0000 0.9802 1.000 0.000
#> 299CB633-58A3-4275-BC08-E6F3669C365A 2 0.0000 0.9797 0.000 1.000
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 1 0.0000 0.9802 1.000 0.000
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.0000 0.9797 0.000 1.000
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 1 0.0000 0.9802 1.000 0.000
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 1 0.0376 0.9770 0.996 0.004
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 2 0.0000 0.9797 0.000 1.000
#> CD576099-5450-4232-9B59-08341BED8FFA 2 0.0000 0.9797 0.000 1.000
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 2 0.0000 0.9797 0.000 1.000
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 2 0.0000 0.9797 0.000 1.000
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 2 0.0000 0.9797 0.000 1.000
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 2 0.0000 0.9797 0.000 1.000
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 2 0.0000 0.9797 0.000 1.000
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 1 0.0000 0.9802 1.000 0.000
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 2 0.0000 0.9797 0.000 1.000
#> 57E380FC-B6AB-466F-9936-D52192888008 2 0.0000 0.9797 0.000 1.000
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 2 0.0000 0.9797 0.000 1.000
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 2 0.0000 0.9797 0.000 1.000
#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 2 0.8861 0.5650 0.304 0.696
#> 1D4F0B66-720D-484D-B8D5-2B290ED208A8 1 0.0000 0.9802 1.000 0.000
#> C886CA33-5080-4E3E-88A2-F9A3CF03A857 1 0.0000 0.9802 1.000 0.000
#> 9AC963E4-F82D-460E-9CAD-C651B879780A 2 0.0000 0.9797 0.000 1.000
#> 1B6CF403-D0AE-4FFE-A884-660A58F32660 2 0.0000 0.9797 0.000 1.000
#> B33316E1-11FD-4C10-956A-C9C6F78508C5 2 0.0000 0.9797 0.000 1.000
#> BB02EF6A-C57D-4A79-99C1-ED43A72FFAF7 2 0.0000 0.9797 0.000 1.000
#> 4DBA59AD-9393-4BE6-88CB-852C62C4A334 1 0.0000 0.9802 1.000 0.000
#> 7887EDC4-A0D7-4E57-B3A1-330A5683457D 2 0.0000 0.9797 0.000 1.000
#> 2CD3AC14-46FB-4260-AE5C-4305C68D49BC 2 0.0000 0.9797 0.000 1.000
#> BAB8FA79-208A-488D-B955-806263E5D6BB 2 0.0000 0.9797 0.000 1.000
#> 98C990E7-7E3B-4200-A88D-E641931302EA 2 0.0000 0.9797 0.000 1.000
#> 894EE382-5ACA-4DEB-9267-99ADBEF6DA19 2 0.0000 0.9797 0.000 1.000
#> 98795F95-D26D-438A-AF46-B3BC3553F020 1 0.0000 0.9802 1.000 0.000
#> 9AD4C328-1554-4C92-931C-30CE8F305FDE 2 0.0000 0.9797 0.000 1.000
#> 4D1518D9-D968-4E7F-A702-5157A1A2E83E 2 0.0000 0.9797 0.000 1.000
#> A6E8AF8C-5D7B-4197-990B-786A869ACB96 2 0.0000 0.9797 0.000 1.000
#> DF8B4E19-8C78-4A68-8FAE-DFF01076BC97 1 0.0000 0.9802 1.000 0.000
#> 8D2C608F-3280-4CA2-B996-9AE3DBDBBD28 1 0.0000 0.9802 1.000 0.000
#> E7BCBD8D-1219-4A99-948A-47A258A5CD8B 2 0.0000 0.9797 0.000 1.000
#> 2C9633A5-8ACB-4D16-8120-F098BA14BB04 2 0.0000 0.9797 0.000 1.000
#> 985D9304-E4DA-4038-B235-067CBFEAC902 2 0.0000 0.9797 0.000 1.000
#> D34CE243-6F4F-4158-9FC4-77E1640E8A91 2 0.0000 0.9797 0.000 1.000
#> 65131575-48D3-42C2-B411-3DB871EF5EE1 2 0.0000 0.9797 0.000 1.000
#> 1AE13DFA-670C-43EE-9898-8FA831AEDDB3 1 0.0000 0.9802 1.000 0.000
#> 3ACDCD29-1B8D-455D-9EE9-D6C903B16D09 2 0.0000 0.9797 0.000 1.000
#> C6FBC35B-0113-4F00-BE1A-831D2C551055 2 0.0000 0.9797 0.000 1.000
#> A8F3285D-A85E-4E73-9D20-9D14AA51916B 1 0.0000 0.9802 1.000 0.000
#> 51601A73-2D75-4056-AEBB-8FF8DB813450 1 0.0000 0.9802 1.000 0.000
#> 75021778-A96B-4F57-8C26-68E8F33D7EB7 2 0.0000 0.9797 0.000 1.000
#> 71FFB439-22A1-4EBB-AEA6-A6BCA8CA6648 1 0.0000 0.9802 1.000 0.000
#> BEDB0135-0A26-44EF-9028-C4907403B110 1 0.0000 0.9802 1.000 0.000
#> 3B8BA56B-0E7B-4754-8729-8D613D0484E1 2 0.0000 0.9797 0.000 1.000
#> 100BF963-6103-45E6-A760-E44649580CF5 2 0.0000 0.9797 0.000 1.000
#> C26F21EA-5911-483F-BF64-03904BF93A20 2 0.0000 0.9797 0.000 1.000
#> 9E50162D-8149-41D2-86C1-1C892EB98DFA 2 0.0000 0.9797 0.000 1.000
#> 09521B29-B002-4AAD-93F1-6E600DD31515 2 0.9732 0.3178 0.404 0.596
#> 45FD44A6-7976-4453-BD3F-99D21DA3ECC2 1 0.0000 0.9802 1.000 0.000
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#> 05B80211-2230-436E-BA34-FD48337A5DE0 2 0.0000 0.9797 0.000 1.000
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#> 3EA60F08-5232-4A97-A656-2A0A2F5CED07 1 0.0000 0.9802 1.000 0.000
#> 9C55C086-682B-4D21-9C77-085CFE45A07E 2 0.0000 0.9797 0.000 1.000
#> B0CE5521-96E9-4087-89EE-309D785C0F96 1 0.0000 0.9802 1.000 0.000
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#> D2ECDADA-9D0D-4044-8C61-353CCE45C0E6 2 0.0000 0.9797 0.000 1.000
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#> EBAFE057-B387-4D2B-8D91-25C83221816D 2 0.0000 0.9797 0.000 1.000
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#> FD2F4E8A-F89C-4016-B275-13FC6B4121E9 2 0.0000 0.9797 0.000 1.000
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#> 1DD990EF-74A8-4503-B801-C01D6C171E2E 2 0.8861 0.5664 0.304 0.696
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#> B9949248-D762-4591-B8D6-C296C2B28D8C 1 0.0000 0.9802 1.000 0.000
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#> 78C429CC-D631-43EA-9049-DAC326C98BDD 2 0.0000 0.9797 0.000 1.000
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#> 219B7654-6065-41D3-964B-C829364CD87B 1 0.0000 0.9802 1.000 0.000
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#> 21B783EB-B0D0-4B28-9468-D0B130D13E26 1 0.0672 0.9737 0.992 0.008
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#> F1A142BF-9737-442D-B9A1-AA03958916D8 1 0.0000 0.9802 1.000 0.000
#> 2DC1CF96-6822-412A-B002-3DC1239D17A7 1 0.0000 0.9802 1.000 0.000
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#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 2 0.0000 0.9797 0.000 1.000
#> 18D816AF-394A-482F-B22E-896A43B1E481 2 0.0000 0.9797 0.000 1.000
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 2 0.0000 0.9797 0.000 1.000
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 1 0.0000 0.9802 1.000 0.000
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 2 0.0000 0.9797 0.000 1.000
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 1 0.0000 0.9802 1.000 0.000
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 2 0.0000 0.9797 0.000 1.000
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 1 0.8763 0.5799 0.704 0.296
#> 7E809698-2473-4EFE-B896-1637983EC596 2 0.0000 0.9797 0.000 1.000
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 1 0.0000 0.9802 1.000 0.000
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 1 0.0000 0.9802 1.000 0.000
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 1 0.0000 0.9802 1.000 0.000
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 2 0.0000 0.9797 0.000 1.000
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 2 0.0000 0.9797 0.000 1.000
#> 73F28A79-7D35-4FE9-849D-FFE681483928 2 0.0000 0.9797 0.000 1.000
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 2 0.0672 0.9726 0.008 0.992
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 1 0.0000 0.9802 1.000 0.000
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 1 0.0000 0.9802 1.000 0.000
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 1 0.0000 0.9802 1.000 0.000
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 2 0.0000 0.9797 0.000 1.000
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 2 0.0000 0.9797 0.000 1.000
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 2 0.0000 0.9797 0.000 1.000
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 1 0.0000 0.9802 1.000 0.000
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 1 0.0000 0.9802 1.000 0.000
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 2 0.0000 0.9797 0.000 1.000
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.0000 0.9797 0.000 1.000
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 2 0.0000 0.9797 0.000 1.000
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 1 0.0000 0.9802 1.000 0.000
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 2 0.0000 0.9797 0.000 1.000
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 2 0.0000 0.9797 0.000 1.000
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 2 0.0000 0.9797 0.000 1.000
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 2 0.0000 0.9797 0.000 1.000
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 2 0.0000 0.9797 0.000 1.000
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 1 0.0000 0.9802 1.000 0.000
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.0000 0.9802 1.000 0.000
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 2 0.0000 0.9797 0.000 1.000
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 2 0.5842 0.8320 0.140 0.860
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.0000 0.9797 0.000 1.000
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 1 0.1184 0.9665 0.984 0.016
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 2 0.0000 0.9797 0.000 1.000
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 2 0.0000 0.9797 0.000 1.000
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 2 0.0000 0.9797 0.000 1.000
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 2 0.0000 0.9797 0.000 1.000
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 2 0.0000 0.9797 0.000 1.000
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 2 0.0000 0.9797 0.000 1.000
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 2 0.0000 0.9797 0.000 1.000
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 1 0.0000 0.9802 1.000 0.000
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 1 0.0000 0.9802 1.000 0.000
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.0000 0.9802 1.000 0.000
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.0000 0.9802 1.000 0.000
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 1 0.8207 0.6519 0.744 0.256
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 1 0.0000 0.9802 1.000 0.000
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.0000 0.9797 0.000 1.000
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 1 0.0000 0.9802 1.000 0.000
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 1 0.0000 0.9802 1.000 0.000
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.0000 0.9797 0.000 1.000
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 2 0.0000 0.9797 0.000 1.000
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 2 0.0000 0.9797 0.000 1.000
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 1 0.0000 0.9802 1.000 0.000
#> CA356591-D24F-41A8-8C9A-1178C7781510 1 0.0000 0.9802 1.000 0.000
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 1 0.0000 0.9802 1.000 0.000
#> 825309CC-4841-4475-BF77-8250C5EEADD8 2 0.0000 0.9797 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 2 0.5988 7.08e-01 0.368 0.632 0.000
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.0892 9.54e-01 0.000 0.020 0.980
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 1 0.5678 6.83e-01 0.684 0.316 0.000
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.6244 6.51e-01 0.440 0.560 0.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 2 0.3780 6.52e-01 0.044 0.892 0.064
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 2 0.1289 6.22e-01 0.032 0.968 0.000
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 2 0.7788 6.87e-01 0.284 0.632 0.084
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 1 0.2066 6.42e-01 0.940 0.060 0.000
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 1 0.1643 5.66e-01 0.956 0.044 0.000
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.7576 6.93e-01 0.276 0.648 0.076
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.5859 7.12e-01 0.344 0.656 0.000
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.0000 9.59e-01 0.000 0.000 1.000
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 3 0.0000 9.59e-01 0.000 0.000 1.000
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 1 0.6235 -4.84e-01 0.564 0.436 0.000
#> ECB2DF14-CF68-44D4-8719-973AE448B992 2 0.2711 6.86e-01 0.088 0.912 0.000
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 2 0.5859 7.12e-01 0.344 0.656 0.000
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 3 0.0000 9.59e-01 0.000 0.000 1.000
#> 3282F146-2782-4877-9EFE-6020AC277A8C 2 0.5882 7.11e-01 0.348 0.652 0.000
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 1 0.3941 5.49e-01 0.844 0.156 0.000
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 2 0.5859 7.12e-01 0.344 0.656 0.000
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.5650 7.11e-01 0.312 0.688 0.000
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 2 0.0237 6.40e-01 0.004 0.996 0.000
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.5882 7.11e-01 0.348 0.652 0.000
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 3 0.0000 9.59e-01 0.000 0.000 1.000
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 3 0.3482 8.67e-01 0.000 0.128 0.872
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 2 0.5431 7.18e-01 0.284 0.716 0.000
#> C945DDA9-0194-46F4-89E2-13883284D5A4 3 0.3752 8.49e-01 0.000 0.144 0.856
#> 79B11925-9772-474F-A729-D00315959710 1 0.5859 8.02e-01 0.656 0.344 0.000
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 1 0.4974 6.23e-01 0.764 0.236 0.000
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 3 0.0000 9.59e-01 0.000 0.000 1.000
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 2 0.1289 6.23e-01 0.032 0.968 0.000
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.5859 8.02e-01 0.656 0.344 0.000
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 1 0.0424 6.03e-01 0.992 0.008 0.000
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 3 0.0000 9.59e-01 0.000 0.000 1.000
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.0000 9.59e-01 0.000 0.000 1.000
#> 26796E5F-C0C2-466C-9012-882F6D29C149 2 0.1163 6.26e-01 0.028 0.972 0.000
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 2 0.0000 6.41e-01 0.000 1.000 0.000
#> 1492D21A-6458-4B49-B530-7A327FCDD031 1 0.5859 8.02e-01 0.656 0.344 0.000
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 1 0.5859 8.02e-01 0.656 0.344 0.000
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 2 0.6225 6.60e-01 0.432 0.568 0.000
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.5859 8.02e-01 0.656 0.344 0.000
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 2 0.6722 6.05e-01 0.060 0.720 0.220
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 1 0.2878 6.70e-01 0.904 0.096 0.000
#> E846120D-D9E6-46F8-9647-2272AB064072 3 0.0237 9.59e-01 0.000 0.004 0.996
#> 36880C8C-91A9-49A9-A2D5-957161737F31 1 0.6302 -5.86e-01 0.520 0.480 0.000
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 1 0.0000 6.01e-01 1.000 0.000 0.000
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 1 0.5859 8.02e-01 0.656 0.344 0.000
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 2 0.3192 5.55e-01 0.000 0.888 0.112
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 2 0.3192 5.22e-01 0.112 0.888 0.000
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 1 0.6252 7.17e-01 0.556 0.444 0.000
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 2 0.6291 1.48e-01 0.000 0.532 0.468
#> 116F3F29-AB89-4F00-9003-559041E285EB 2 0.6828 7.09e-01 0.312 0.656 0.032
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.5859 7.12e-01 0.344 0.656 0.000
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 2 0.0892 6.33e-01 0.000 0.980 0.020
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 2 0.6045 7.03e-01 0.380 0.620 0.000
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 2 0.2878 5.48e-01 0.096 0.904 0.000
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 2 0.1163 6.26e-01 0.028 0.972 0.000
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 2 0.5859 7.12e-01 0.344 0.656 0.000
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 3 0.0000 9.59e-01 0.000 0.000 1.000
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.5859 8.02e-01 0.656 0.344 0.000
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 3 0.0000 9.59e-01 0.000 0.000 1.000
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 1 0.0000 6.01e-01 1.000 0.000 0.000
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 3 0.1163 9.51e-01 0.000 0.028 0.972
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 3 0.2878 9.00e-01 0.000 0.096 0.904
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 2 0.6008 7.06e-01 0.372 0.628 0.000
#> CD576099-5450-4232-9B59-08341BED8FFA 2 0.6180 5.59e-01 0.416 0.584 0.000
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 2 0.5859 7.12e-01 0.344 0.656 0.000
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 1 0.5859 8.02e-01 0.656 0.344 0.000
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 2 0.1289 6.22e-01 0.032 0.968 0.000
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 2 0.5859 7.12e-01 0.344 0.656 0.000
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 2 0.6008 7.06e-01 0.372 0.628 0.000
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 3 0.0000 9.59e-01 0.000 0.000 1.000
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 1 0.5859 8.02e-01 0.656 0.344 0.000
#> 57E380FC-B6AB-466F-9936-D52192888008 1 0.5882 8.00e-01 0.652 0.348 0.000
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 2 0.3816 5.86e-01 0.148 0.852 0.000
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 1 0.5859 8.02e-01 0.656 0.344 0.000
#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 2 0.5859 7.12e-01 0.344 0.656 0.000
#> 1D4F0B66-720D-484D-B8D5-2B290ED208A8 3 0.1860 9.38e-01 0.000 0.052 0.948
#> C886CA33-5080-4E3E-88A2-F9A3CF03A857 3 0.0000 9.59e-01 0.000 0.000 1.000
#> 9AC963E4-F82D-460E-9CAD-C651B879780A 1 0.2261 5.38e-01 0.932 0.068 0.000
#> 1B6CF403-D0AE-4FFE-A884-660A58F32660 2 0.5431 7.18e-01 0.284 0.716 0.000
#> B33316E1-11FD-4C10-956A-C9C6F78508C5 2 0.0000 6.41e-01 0.000 1.000 0.000
#> BB02EF6A-C57D-4A79-99C1-ED43A72FFAF7 2 0.5968 7.09e-01 0.364 0.636 0.000
#> 4DBA59AD-9393-4BE6-88CB-852C62C4A334 3 0.0000 9.59e-01 0.000 0.000 1.000
#> 7887EDC4-A0D7-4E57-B3A1-330A5683457D 1 0.6225 7.32e-01 0.568 0.432 0.000
#> 2CD3AC14-46FB-4260-AE5C-4305C68D49BC 1 0.6045 7.63e-01 0.620 0.380 0.000
#> BAB8FA79-208A-488D-B955-806263E5D6BB 1 0.4346 5.02e-01 0.816 0.184 0.000
#> 98C990E7-7E3B-4200-A88D-E641931302EA 1 0.5859 8.02e-01 0.656 0.344 0.000
#> 894EE382-5ACA-4DEB-9267-99ADBEF6DA19 2 0.6045 6.66e-01 0.380 0.620 0.000
#> 98795F95-D26D-438A-AF46-B3BC3553F020 3 0.0000 9.59e-01 0.000 0.000 1.000
#> 9AD4C328-1554-4C92-931C-30CE8F305FDE 2 0.1163 6.26e-01 0.028 0.972 0.000
#> 4D1518D9-D968-4E7F-A702-5157A1A2E83E 1 0.5905 7.98e-01 0.648 0.352 0.000
#> A6E8AF8C-5D7B-4197-990B-786A869ACB96 1 0.5859 8.02e-01 0.656 0.344 0.000
#> DF8B4E19-8C78-4A68-8FAE-DFF01076BC97 3 0.0592 9.57e-01 0.000 0.012 0.988
#> 8D2C608F-3280-4CA2-B996-9AE3DBDBBD28 3 0.0000 9.59e-01 0.000 0.000 1.000
#> E7BCBD8D-1219-4A99-948A-47A258A5CD8B 2 0.6026 6.70e-01 0.376 0.624 0.000
#> 2C9633A5-8ACB-4D16-8120-F098BA14BB04 1 0.2448 6.55e-01 0.924 0.076 0.000
#> 985D9304-E4DA-4038-B235-067CBFEAC902 1 0.0000 6.01e-01 1.000 0.000 0.000
#> D34CE243-6F4F-4158-9FC4-77E1640E8A91 2 0.5859 7.12e-01 0.344 0.656 0.000
#> 65131575-48D3-42C2-B411-3DB871EF5EE1 2 0.6168 6.28e-01 0.412 0.588 0.000
#> 1AE13DFA-670C-43EE-9898-8FA831AEDDB3 3 0.0000 9.59e-01 0.000 0.000 1.000
#> 3ACDCD29-1B8D-455D-9EE9-D6C903B16D09 1 0.5859 8.02e-01 0.656 0.344 0.000
#> C6FBC35B-0113-4F00-BE1A-831D2C551055 2 0.1163 6.26e-01 0.028 0.972 0.000
#> A8F3285D-A85E-4E73-9D20-9D14AA51916B 3 0.0000 9.59e-01 0.000 0.000 1.000
#> 51601A73-2D75-4056-AEBB-8FF8DB813450 3 0.0000 9.59e-01 0.000 0.000 1.000
#> 75021778-A96B-4F57-8C26-68E8F33D7EB7 2 0.3412 6.94e-01 0.124 0.876 0.000
#> 71FFB439-22A1-4EBB-AEA6-A6BCA8CA6648 3 0.0000 9.59e-01 0.000 0.000 1.000
#> BEDB0135-0A26-44EF-9028-C4907403B110 3 0.1289 9.50e-01 0.000 0.032 0.968
#> 3B8BA56B-0E7B-4754-8729-8D613D0484E1 2 0.4062 4.28e-01 0.164 0.836 0.000
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#> F1AD0BF7-6094-4B0D-9FE1-F8439124269A 1 0.5859 8.02e-01 0.656 0.344 0.000
#> 3F7EC434-13A6-46C4-8791-C8992192C3D6 2 0.6079 6.99e-01 0.388 0.612 0.000
#> 65D42DF3-62D8-4B1E-B6EB-A0FEEA01FD70 3 0.3192 8.85e-01 0.000 0.112 0.888
#> 7A42FA71-7FD7-47B6-842B-0BEF0ECD7FB5 1 0.5859 8.02e-01 0.656 0.344 0.000
#> 57F784E9-1827-476B-9AA6-524E842641EA 3 0.0000 9.59e-01 0.000 0.000 1.000
#> 5E79792E-CE89-4ECF-BD4E-B12877E63949 3 0.3752 8.49e-01 0.000 0.144 0.856
#> E9DB46D8-5CE4-472C-8F21-9180F2D4C880 2 0.5785 7.13e-01 0.332 0.668 0.000
#> 7C712EF3-7368-4D97-BB9A-717CF8522C7F 3 0.0000 9.59e-01 0.000 0.000 1.000
#> 30312D82-4966-4EAA-A067-F91852FA8663 2 0.5859 7.12e-01 0.344 0.656 0.000
#> ECC62CBA-16AB-45F0-9C5A-72F302B4A188 3 0.4452 7.82e-01 0.000 0.192 0.808
#> 5AF4899F-D8E1-4CB6-B3DC-F0C60C808838 3 0.1860 9.38e-01 0.000 0.052 0.948
#> BBCEA0D1-DE66-4C0C-8D3C-D1398D04B472 2 0.5859 7.12e-01 0.344 0.656 0.000
#> 154764CD-AC69-4F48-A212-8B27C076C91A 2 0.5847 6.27e-01 0.048 0.780 0.172
#> 33266777-E07B-49D0-9E24-2EDE2577CF16 2 0.1163 6.26e-01 0.028 0.972 0.000
#> 7DAE9720-3922-4680-9F95-75C029B7FDA9 3 0.0000 9.59e-01 0.000 0.000 1.000
#> 1BC2ECED-0425-4382-BB94-F57ED2687F18 1 0.6274 7.02e-01 0.544 0.456 0.000
#> 0901D931-77BE-47B0-AE5F-C26C6A144CA0 2 0.0000 6.41e-01 0.000 1.000 0.000
#> 77AFFD5F-F715-4242-95C9-5F36E061B3E2 1 0.6291 6.87e-01 0.532 0.468 0.000
#> FAB4A6D6-E978-4172-9FE1-79FC50C0F849 2 0.6307 5.01e-01 0.488 0.512 0.000
#> 32C4DF54-39DD-4F62-B938-82ED2A0E0FFD 1 0.5859 8.02e-01 0.656 0.344 0.000
#> 9911D83E-6DDF-4048-9A34-22BFA1D68BBD 3 0.0000 9.59e-01 0.000 0.000 1.000
#> 4BAC0A03-BB88-4D19-86F9-FF093330C9B3 3 0.3038 8.93e-01 0.000 0.104 0.896
#> 18F63ADA-1828-43DD-AE1F-F36706C204CD 3 0.0000 9.59e-01 0.000 0.000 1.000
#> 66729295-C0AA-42C7-92C9-05194EF02276 3 0.0000 9.59e-01 0.000 0.000 1.000
#> 4CCA3104-B557-403D-AC06-A6D4936DDC04 3 0.1031 9.53e-01 0.000 0.024 0.976
#> 77D4165E-7CB1-4D69-AFE5-C8D914531651 2 0.5882 7.11e-01 0.348 0.652 0.000
#> BA12A05A-622A-424D-8108-3F5916405EB0 3 0.0000 9.59e-01 0.000 0.000 1.000
#> DED4EA4D-9DC2-4419-83EC-2BFE75DC1830 2 0.5859 7.12e-01 0.344 0.656 0.000
#> 13A35364-57C5-4F5A-B077-3BA2689BFDD3 1 0.5859 8.02e-01 0.656 0.344 0.000
#> 2641B816-1D21-496E-85AD-1C690C9146A6 3 0.0000 9.59e-01 0.000 0.000 1.000
#> 96E2AD09-7287-4B91-840E-81444A61D56F 3 0.3686 8.42e-01 0.000 0.140 0.860
#> 62F3327F-FB16-4AD0-BCF5-B180F28281A9 1 0.2165 6.41e-01 0.936 0.064 0.000
#> 112F7032-0212-4939-9449-D67E3600CCD5 3 0.1529 9.46e-01 0.000 0.040 0.960
#> A3B4DE21-DDF0-4468-A300-7BECBAFD0BCD 2 0.3482 4.94e-01 0.128 0.872 0.000
#> 0A03E593-6931-419C-AE47-51D75185C2C0 2 0.6274 1.72e-01 0.000 0.544 0.456
#> 2416A3DC-A563-4FD1-A139-0E6EF7185211 1 0.0000 6.01e-01 1.000 0.000 0.000
#> 18B29573-822C-405F-B793-DBC8924866CE 1 0.2066 5.41e-01 0.940 0.060 0.000
#> 994EC227-B239-4CEE-AC96-EB5CC0AF583E 2 0.0000 6.41e-01 0.000 1.000 0.000
#> 950933A3-5757-4914-9DC5-C220C2A455FD 3 0.0000 9.59e-01 0.000 0.000 1.000
#> DBDFE95C-F941-407A-BE7D-D43D50143C4D 3 0.2297 9.33e-01 0.020 0.036 0.944
#> D024393C-29D0-41C4-AB86-7E94581FDD26 1 0.2066 5.49e-01 0.940 0.060 0.000
#> 4975AB35-93E5-400D-A429-CEA81BA89FFE 2 0.0592 6.36e-01 0.012 0.988 0.000
#> 666ADCA2-1AE4-4843-B1C8-8EE29C44AE74 2 0.1289 6.22e-01 0.032 0.968 0.000
#> A8F79C08-3943-4707-ADCB-890A955B5394 1 0.2066 6.42e-01 0.940 0.060 0.000
#> A81614ED-14CB-4EBC-988E-F67FBCBF62D8 2 0.5859 7.12e-01 0.344 0.656 0.000
#> E27E65C8-5B57-4C91-9D20-C075AEA2F2C5 2 0.1031 6.29e-01 0.024 0.976 0.000
#> 745F18CA-080D-42FE-BAA6-89AD7E3D3408 1 0.0424 6.08e-01 0.992 0.008 0.000
#> E755A625-799D-4A39-9D56-080228E0B669 2 0.1964 6.46e-01 0.056 0.944 0.000
#> 3D94EFB8-94D4-4FDE-97D8-18A159279996 3 0.0000 9.59e-01 0.000 0.000 1.000
#> 3D305C2E-6C86-4684-AA2A-155291AB4CC3 1 0.5859 8.02e-01 0.656 0.344 0.000
#> E140052A-5434-4C44-9873-0318D1D272CA 1 0.0000 6.01e-01 1.000 0.000 0.000
#> 68E56692-D46D-4A27-86CD-717E10AADDDA 3 0.0000 9.59e-01 0.000 0.000 1.000
#> 00A0586E-5F05-47B3-925C-87E811B0893B 3 0.0000 9.59e-01 0.000 0.000 1.000
#> E2B019A7-7C95-40FE-800C-D30E9730825C 2 0.1411 6.19e-01 0.036 0.964 0.000
#> 1B9ABB69-5CC6-4B6B-ABBC-71CC3274C7F0 1 0.5859 8.02e-01 0.656 0.344 0.000
#> FAE396AA-3C3C-4AF9-953D-385C41B2DB5B 1 0.5926 7.96e-01 0.644 0.356 0.000
#> 6BE4397D-1E5B-4486-83B4-EE0EC146C805 1 0.3116 4.77e-01 0.892 0.108 0.000
#> EE38BD4E-5A08-4639-912F-04203F53762F 1 0.5859 8.02e-01 0.656 0.344 0.000
#> 4050E7F8-80B6-46F2-8FF0-D4EC313E975B 3 0.6305 -6.62e-05 0.000 0.484 0.516
#> F3565161-FFBE-4138-9773-558DB386710C 1 0.5859 8.02e-01 0.656 0.344 0.000
#> BA9ABEB1-D3F0-4F09-A647-25211C47C3D0 1 0.3192 4.71e-01 0.888 0.112 0.000
#> 9E41E79A-4028-4F60-8250-411F191B665C 1 0.5859 8.02e-01 0.656 0.344 0.000
#> 5F1D3EFD-ECDA-4C92-8D81-491484F09C95 2 0.2774 6.82e-01 0.072 0.920 0.008
#> 0DBA04CB-417D-4E2B-BE83-3563F45291C4 1 0.5859 8.02e-01 0.656 0.344 0.000
#> B9B882A5-194B-4F5C-B702-0CF71CA6D9D2 2 0.4291 7.08e-01 0.180 0.820 0.000
#> 67FE7638-B8F5-4631-B178-AC23B0382983 2 0.2796 5.54e-01 0.092 0.908 0.000
#> FE03FC2C-9A4E-4F89-8681-E33DFECCC692 2 0.6244 2.17e-01 0.000 0.560 0.440
#> 2B22B4B7-8A39-435C-BE3B-86FA84C8F941 3 0.1163 9.51e-01 0.000 0.028 0.972
#> 00844B35-C108-4AEC-A687-4A91A2F33E6D 1 0.5859 8.02e-01 0.656 0.344 0.000
#> C221EE7A-6343-4B6D-B322-0A2C0F0B29AF 1 0.5859 8.02e-01 0.656 0.344 0.000
#> B28A6D56-7654-4829-BF1F-657C3C2C10D8 2 0.6235 2.27e-01 0.000 0.564 0.436
#> F4C7BCEC-3CD4-4D9A-89EA-0ED58EA0DCFE 1 0.5859 8.02e-01 0.656 0.344 0.000
#> F06FBFAB-D143-47AE-BEE7-51B48164764F 3 0.1860 9.38e-01 0.000 0.052 0.948
#> 525F522B-E865-4479-AE65-510903ABF46F 3 0.0000 9.59e-01 0.000 0.000 1.000
#> F0CB60E3-C412-46A2-918F-8C5C099AB224 1 0.3192 6.67e-01 0.888 0.112 0.000
#> 587F307F-6E1B-487E-8E47-A99AB43DC5B4 3 0.0000 9.59e-01 0.000 0.000 1.000
#> 883D9145-8414-4571-A3E1-516F03452C46 2 0.6252 2.06e-01 0.000 0.556 0.444
#> 4A917271-7EA0-4F43-B474-7F5EA756EB05 1 0.5859 8.02e-01 0.656 0.344 0.000
#> BB33015D-218C-4A1E-8839-95837D6E9B88 2 0.6026 -3.12e-01 0.376 0.624 0.000
#> 021CC81F-710D-4EEA-B1D8-012A81715ACC 1 0.5859 8.02e-01 0.656 0.344 0.000
#> B00C4925-47E3-4442-ABEB-82D714A26587 2 0.1163 6.26e-01 0.028 0.972 0.000
#> F79B27D3-0426-47BB-9756-7E0759246E5E 2 0.7465 6.98e-01 0.272 0.656 0.072
#> 1F179559-D93E-491C-B499-64F86C31DAE0 3 0.3412 8.72e-01 0.000 0.124 0.876
#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 3 0.2537 9.15e-01 0.000 0.080 0.920
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 3 0.0000 9.59e-01 0.000 0.000 1.000
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 3 0.0000 9.59e-01 0.000 0.000 1.000
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 2 0.5859 7.12e-01 0.344 0.656 0.000
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 2 0.6291 -5.73e-01 0.468 0.532 0.000
#> ED9794C0-AC60-4B54-8214-D26714871BBF 1 0.6280 6.91e-01 0.540 0.460 0.000
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 2 0.5905 7.10e-01 0.352 0.648 0.000
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 1 0.0000 6.01e-01 1.000 0.000 0.000
#> 18D816AF-394A-482F-B22E-896A43B1E481 1 0.4702 2.55e-01 0.788 0.212 0.000
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 1 0.5859 8.02e-01 0.656 0.344 0.000
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 3 0.0000 9.59e-01 0.000 0.000 1.000
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 2 0.5948 7.07e-01 0.360 0.640 0.000
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 3 0.1411 9.48e-01 0.000 0.036 0.964
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 2 0.3340 5.08e-01 0.120 0.880 0.000
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 2 0.5859 7.12e-01 0.344 0.656 0.000
#> 7E809698-2473-4EFE-B896-1637983EC596 2 0.6168 6.77e-01 0.412 0.588 0.000
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 3 0.1163 9.51e-01 0.000 0.028 0.972
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 3 0.0000 9.59e-01 0.000 0.000 1.000
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 3 0.9028 -1.49e-01 0.132 0.432 0.436
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 2 0.2625 5.63e-01 0.084 0.916 0.000
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 2 0.3340 5.07e-01 0.120 0.880 0.000
#> 73F28A79-7D35-4FE9-849D-FFE681483928 1 0.5859 8.02e-01 0.656 0.344 0.000
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 2 0.1163 6.26e-01 0.028 0.972 0.000
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 3 0.1289 9.50e-01 0.000 0.032 0.968
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 3 0.0000 9.59e-01 0.000 0.000 1.000
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 3 0.1643 9.43e-01 0.000 0.044 0.956
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.5859 8.02e-01 0.656 0.344 0.000
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 2 0.3267 5.15e-01 0.116 0.884 0.000
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 2 0.0237 6.39e-01 0.004 0.996 0.000
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 3 0.1860 9.38e-01 0.000 0.052 0.948
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.0000 9.59e-01 0.000 0.000 1.000
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.5859 8.02e-01 0.656 0.344 0.000
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 1 0.2066 6.42e-01 0.940 0.060 0.000
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 2 0.5882 7.11e-01 0.348 0.652 0.000
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 3 0.2356 9.21e-01 0.000 0.072 0.928
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 2 0.5497 7.19e-01 0.292 0.708 0.000
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 1 0.5621 7.91e-01 0.692 0.308 0.000
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 2 0.0747 6.44e-01 0.016 0.984 0.000
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 1 0.5859 8.02e-01 0.656 0.344 0.000
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.5859 8.02e-01 0.656 0.344 0.000
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.0000 9.59e-01 0.000 0.000 1.000
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 3 0.0000 9.59e-01 0.000 0.000 1.000
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.5859 8.02e-01 0.656 0.344 0.000
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 2 0.4744 5.12e-01 0.028 0.836 0.136
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.5905 7.10e-01 0.352 0.648 0.000
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 3 0.6260 1.73e-01 0.000 0.448 0.552
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.6180 7.46e-01 0.584 0.416 0.000
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 2 0.1163 6.26e-01 0.028 0.972 0.000
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.5859 8.02e-01 0.656 0.344 0.000
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 2 0.5882 6.93e-01 0.348 0.652 0.000
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 1 0.3686 5.71e-01 0.860 0.140 0.000
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 2 0.2796 5.48e-01 0.092 0.908 0.000
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 2 0.6244 6.63e-01 0.440 0.560 0.000
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 3 0.0424 9.58e-01 0.000 0.008 0.992
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 2 0.7757 1.20e-01 0.048 0.488 0.464
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 3 0.1860 9.38e-01 0.000 0.052 0.948
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 3 0.0237 9.59e-01 0.000 0.004 0.996
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 2 0.5687 7.21e-01 0.224 0.756 0.020
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 3 0.0000 9.59e-01 0.000 0.000 1.000
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.5859 7.12e-01 0.344 0.656 0.000
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 3 0.3752 8.49e-01 0.000 0.144 0.856
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.0000 9.59e-01 0.000 0.000 1.000
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 1 0.0000 6.01e-01 1.000 0.000 0.000
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 1 0.4931 4.04e-01 0.768 0.232 0.000
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 2 0.6244 6.63e-01 0.440 0.560 0.000
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.0000 9.59e-01 0.000 0.000 1.000
#> CA356591-D24F-41A8-8C9A-1178C7781510 3 0.4605 7.63e-01 0.000 0.204 0.796
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.0000 9.59e-01 0.000 0.000 1.000
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.5859 8.02e-01 0.656 0.344 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 4 0.4919 0.6800 0.152 0.076 0.000 0.772
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 2 0.4713 0.3764 0.000 0.640 0.360 0.000
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 1 0.5977 0.6803 0.688 0.120 0.000 0.192
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 4 0.1978 0.5718 0.068 0.004 0.000 0.928
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 4 0.7674 0.6004 0.236 0.192 0.020 0.552
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 4 0.7114 0.6182 0.252 0.188 0.000 0.560
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 4 0.4817 0.6026 0.000 0.388 0.000 0.612
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 1 0.2011 0.7774 0.920 0.000 0.000 0.080
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 1 0.5352 0.6067 0.596 0.016 0.000 0.388
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 4 0.4262 0.5795 0.000 0.236 0.008 0.756
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 4 0.4454 0.6494 0.000 0.308 0.000 0.692
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#> 5F1D3EFD-ECDA-4C92-8D81-491484F09C95 4 0.4741 0.6441 0.004 0.328 0.000 0.668
#> 0DBA04CB-417D-4E2B-BE83-3563F45291C4 1 0.0188 0.8004 0.996 0.004 0.000 0.000
#> B9B882A5-194B-4F5C-B702-0CF71CA6D9D2 4 0.5436 0.6901 0.092 0.176 0.000 0.732
#> 67FE7638-B8F5-4631-B178-AC23B0382983 4 0.7020 0.3573 0.376 0.124 0.000 0.500
#> FE03FC2C-9A4E-4F89-8681-E33DFECCC692 4 0.5263 0.5443 0.000 0.448 0.008 0.544
#> 2B22B4B7-8A39-435C-BE3B-86FA84C8F941 2 0.4948 0.1551 0.000 0.560 0.440 0.000
#> 00844B35-C108-4AEC-A687-4A91A2F33E6D 1 0.2469 0.7910 0.892 0.108 0.000 0.000
#> C221EE7A-6343-4B6D-B322-0A2C0F0B29AF 1 0.2408 0.7901 0.896 0.104 0.000 0.000
#> B28A6D56-7654-4829-BF1F-657C3C2C10D8 4 0.5147 0.5442 0.000 0.460 0.004 0.536
#> F4C7BCEC-3CD4-4D9A-89EA-0ED58EA0DCFE 1 0.0188 0.8004 0.996 0.004 0.000 0.000
#> F06FBFAB-D143-47AE-BEE7-51B48164764F 2 0.3569 0.6190 0.000 0.804 0.196 0.000
#> 525F522B-E865-4479-AE65-510903ABF46F 3 0.4624 0.5140 0.000 0.340 0.660 0.000
#> F0CB60E3-C412-46A2-918F-8C5C099AB224 1 0.5228 0.7537 0.756 0.120 0.000 0.124
#> 587F307F-6E1B-487E-8E47-A99AB43DC5B4 3 0.1940 0.7086 0.000 0.076 0.924 0.000
#> 883D9145-8414-4571-A3E1-516F03452C46 4 0.5147 0.5442 0.000 0.460 0.004 0.536
#> 4A917271-7EA0-4F43-B474-7F5EA756EB05 1 0.0188 0.8004 0.996 0.004 0.000 0.000
#> BB33015D-218C-4A1E-8839-95837D6E9B88 1 0.6248 0.4806 0.656 0.120 0.000 0.224
#> 021CC81F-710D-4EEA-B1D8-012A81715ACC 1 0.2647 0.7856 0.880 0.120 0.000 0.000
#> B00C4925-47E3-4442-ABEB-82D714A26587 4 0.7578 0.5483 0.284 0.236 0.000 0.480
#> F79B27D3-0426-47BB-9756-7E0759246E5E 4 0.5132 0.5525 0.000 0.448 0.004 0.548
#> 1F179559-D93E-491C-B499-64F86C31DAE0 2 0.4318 0.6008 0.000 0.816 0.116 0.068
#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 2 0.3554 0.6224 0.000 0.844 0.136 0.020
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 3 0.0000 0.7333 0.000 0.000 1.000 0.000
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 3 0.4941 0.3770 0.000 0.436 0.564 0.000
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 4 0.3801 0.5809 0.000 0.220 0.000 0.780
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 1 0.6084 0.5870 0.676 0.120 0.000 0.204
#> ED9794C0-AC60-4B54-8214-D26714871BBF 1 0.5280 0.6913 0.752 0.120 0.000 0.128
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 4 0.4053 0.6713 0.004 0.228 0.000 0.768
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 1 0.4677 0.6453 0.680 0.004 0.000 0.316
#> 18D816AF-394A-482F-B22E-896A43B1E481 4 0.5112 -0.3819 0.436 0.004 0.000 0.560
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 1 0.0188 0.8004 0.996 0.004 0.000 0.000
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 3 0.4898 0.4250 0.000 0.416 0.584 0.000
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 4 0.0469 0.6139 0.012 0.000 0.000 0.988
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 2 0.2868 0.6229 0.000 0.864 0.136 0.000
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 4 0.7068 0.3449 0.380 0.128 0.000 0.492
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 4 0.4134 0.6639 0.000 0.260 0.000 0.740
#> 7E809698-2473-4EFE-B896-1637983EC596 4 0.5550 0.6665 0.060 0.248 0.000 0.692
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 2 0.4933 0.1842 0.000 0.568 0.432 0.000
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 3 0.0000 0.7333 0.000 0.000 1.000 0.000
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 4 0.6659 0.3280 0.000 0.400 0.088 0.512
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 4 0.7013 0.3980 0.356 0.128 0.000 0.516
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 4 0.7015 0.3187 0.396 0.120 0.000 0.484
#> 73F28A79-7D35-4FE9-849D-FFE681483928 1 0.2408 0.7901 0.896 0.104 0.000 0.000
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 4 0.7762 0.5245 0.256 0.316 0.000 0.428
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 2 0.3975 0.5819 0.000 0.760 0.240 0.000
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 3 0.4877 0.4377 0.000 0.408 0.592 0.000
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.6826 0.3687 0.000 0.600 0.228 0.172
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.0188 0.8004 0.996 0.004 0.000 0.000
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 4 0.7002 0.3274 0.388 0.120 0.000 0.492
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 4 0.5273 0.5597 0.008 0.456 0.000 0.536
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 2 0.3569 0.6190 0.000 0.804 0.196 0.000
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.0000 0.7333 0.000 0.000 1.000 0.000
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.0188 0.8004 0.996 0.004 0.000 0.000
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 1 0.4769 0.6521 0.684 0.008 0.000 0.308
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 4 0.4134 0.6639 0.000 0.260 0.000 0.740
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.4919 0.6068 0.000 0.752 0.200 0.048
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 4 0.4088 0.6691 0.004 0.232 0.000 0.764
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 1 0.3208 0.7469 0.848 0.004 0.000 0.148
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 4 0.6517 0.6586 0.108 0.288 0.000 0.604
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 1 0.1109 0.7952 0.968 0.004 0.000 0.028
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.2647 0.7856 0.880 0.120 0.000 0.000
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.4907 0.4200 0.000 0.420 0.580 0.000
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 3 0.0188 0.7324 0.000 0.004 0.996 0.000
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.0188 0.8004 0.996 0.004 0.000 0.000
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 4 0.8170 0.5082 0.252 0.332 0.012 0.404
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 4 0.0188 0.6160 0.004 0.000 0.000 0.996
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 2 0.5478 -0.3769 0.000 0.540 0.016 0.444
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.4205 0.7576 0.820 0.124 0.000 0.056
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 4 0.7771 0.4740 0.320 0.256 0.000 0.424
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.2469 0.7905 0.892 0.108 0.000 0.000
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 4 0.6351 0.4976 0.268 0.104 0.000 0.628
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 1 0.4054 0.7229 0.796 0.016 0.000 0.188
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 4 0.6822 0.6652 0.192 0.204 0.000 0.604
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 4 0.6613 0.4407 0.288 0.116 0.000 0.596
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 3 0.4961 0.3369 0.000 0.448 0.552 0.000
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 4 0.6666 0.4013 0.000 0.404 0.088 0.508
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 2 0.3219 0.6248 0.000 0.836 0.164 0.000
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 2 0.4624 0.3766 0.000 0.660 0.340 0.000
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 4 0.4967 0.5552 0.000 0.452 0.000 0.548
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 3 0.4898 0.4250 0.000 0.416 0.584 0.000
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 4 0.3873 0.6671 0.000 0.228 0.000 0.772
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 2 0.5159 0.6097 0.000 0.756 0.156 0.088
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.4907 0.4200 0.000 0.420 0.580 0.000
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 1 0.4522 0.6438 0.680 0.000 0.000 0.320
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 1 0.6474 0.6075 0.624 0.120 0.000 0.256
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 4 0.2048 0.5796 0.064 0.008 0.000 0.928
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.4985 0.2755 0.000 0.468 0.532 0.000
#> CA356591-D24F-41A8-8C9A-1178C7781510 2 0.6118 0.5178 0.000 0.672 0.120 0.208
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.0000 0.7333 0.000 0.000 1.000 0.000
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.0188 0.8004 0.996 0.004 0.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 4 0.5697 3.79e-01 0.448 0.068 0.004 0.480 0.000
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.0609 8.44e-01 0.000 0.000 0.980 0.000 0.020
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 1 0.1644 5.38e-01 0.940 0.048 0.004 0.008 0.000
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 4 0.6954 3.63e-01 0.336 0.312 0.004 0.348 0.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 4 0.5672 3.28e-01 0.368 0.000 0.088 0.544 0.000
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 4 0.4481 1.10e-01 0.416 0.000 0.008 0.576 0.000
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 4 0.0898 6.67e-01 0.000 0.020 0.008 0.972 0.000
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 2 0.3906 5.40e-01 0.292 0.704 0.000 0.004 0.000
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.3487 4.15e-01 0.212 0.780 0.000 0.008 0.000
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 4 0.5748 5.79e-01 0.100 0.216 0.024 0.660 0.000
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 4 0.3838 6.28e-01 0.280 0.004 0.000 0.716 0.000
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 5 0.2230 7.96e-01 0.000 0.000 0.116 0.000 0.884
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 3 0.4540 4.18e-01 0.000 0.000 0.640 0.020 0.340
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 1 0.6470 -6.67e-02 0.500 0.316 0.004 0.180 0.000
#> ECB2DF14-CF68-44D4-8719-973AE448B992 4 0.0609 6.60e-01 0.000 0.000 0.020 0.980 0.000
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 4 0.2074 6.73e-01 0.060 0.016 0.004 0.920 0.000
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 5 0.0510 8.66e-01 0.000 0.000 0.016 0.000 0.984
#> 3282F146-2782-4877-9EFE-6020AC277A8C 4 0.5235 5.98e-01 0.280 0.068 0.004 0.648 0.000
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 1 0.5417 -1.58e-02 0.516 0.432 0.004 0.048 0.000
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 4 0.1774 6.69e-01 0.052 0.000 0.016 0.932 0.000
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 4 0.5700 3.25e-01 0.456 0.068 0.004 0.472 0.000
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 4 0.4138 3.83e-01 0.384 0.000 0.000 0.616 0.000
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 4 0.6910 4.19e-01 0.292 0.312 0.004 0.392 0.000
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 3 0.3942 6.15e-01 0.000 0.000 0.748 0.020 0.232
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 4 0.4150 1.06e-01 0.000 0.000 0.388 0.612 0.000
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 4 0.1310 6.64e-01 0.020 0.000 0.024 0.956 0.000
#> C945DDA9-0194-46F4-89E2-13883284D5A4 4 0.4560 -1.91e-01 0.000 0.000 0.484 0.508 0.008
#> 79B11925-9772-474F-A729-D00315959710 1 0.3752 3.83e-01 0.708 0.292 0.000 0.000 0.000
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 1 0.4371 1.44e-01 0.644 0.344 0.000 0.012 0.000
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 5 0.1197 8.50e-01 0.000 0.000 0.048 0.000 0.952
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 1 0.3424 5.13e-01 0.760 0.000 0.000 0.240 0.000
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.4161 1.96e-01 0.608 0.392 0.000 0.000 0.000
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.1012 5.87e-01 0.020 0.968 0.000 0.012 0.000
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 3 0.4256 1.42e-01 0.000 0.000 0.564 0.000 0.436
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 5 0.0000 8.72e-01 0.000 0.000 0.000 0.000 1.000
#> 26796E5F-C0C2-466C-9012-882F6D29C149 4 0.4639 3.38e-01 0.368 0.000 0.020 0.612 0.000
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 4 0.4639 2.54e-01 0.344 0.000 0.024 0.632 0.000
#> 1492D21A-6458-4B49-B530-7A327FCDD031 2 0.4273 3.52e-01 0.448 0.552 0.000 0.000 0.000
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 2 0.3857 5.69e-01 0.312 0.688 0.000 0.000 0.000
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 4 0.5633 5.56e-01 0.336 0.080 0.004 0.580 0.000
#> B823982D-4102-4D21-B9CB-8C42830784F4 2 0.3913 5.56e-01 0.324 0.676 0.000 0.000 0.000
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 4 0.1522 6.70e-01 0.044 0.000 0.012 0.944 0.000
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.0162 6.00e-01 0.004 0.996 0.000 0.000 0.000
#> E846120D-D9E6-46F8-9647-2272AB064072 5 0.4841 3.65e-01 0.000 0.000 0.416 0.024 0.560
#> 36880C8C-91A9-49A9-A2D5-957161737F31 2 0.6502 -1.88e-01 0.180 0.488 0.004 0.328 0.000
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.0162 5.98e-01 0.000 0.996 0.004 0.000 0.000
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 1 0.4227 1.23e-01 0.580 0.420 0.000 0.000 0.000
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 4 0.4608 2.53e-01 0.336 0.000 0.024 0.640 0.000
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 1 0.1544 5.75e-01 0.932 0.000 0.000 0.068 0.000
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 1 0.1410 5.61e-01 0.940 0.060 0.000 0.000 0.000
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 4 0.3336 5.09e-01 0.000 0.000 0.228 0.772 0.000
#> 116F3F29-AB89-4F00-9003-559041E285EB 4 0.1117 6.63e-01 0.016 0.000 0.020 0.964 0.000
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 4 0.3366 6.75e-01 0.116 0.032 0.008 0.844 0.000
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 4 0.2685 6.15e-01 0.092 0.000 0.028 0.880 0.000
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 4 0.6898 4.21e-01 0.296 0.300 0.004 0.400 0.000
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 1 0.0404 5.61e-01 0.988 0.000 0.000 0.012 0.000
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 4 0.4524 2.73e-01 0.336 0.000 0.020 0.644 0.000
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 4 0.3224 6.63e-01 0.160 0.016 0.000 0.824 0.000
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 3 0.0794 8.45e-01 0.000 0.000 0.972 0.000 0.028
#> 299CB633-58A3-4275-BC08-E6F3669C365A 2 0.3857 5.69e-01 0.312 0.688 0.000 0.000 0.000
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 3 0.0794 8.45e-01 0.000 0.000 0.972 0.000 0.028
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.0162 5.97e-01 0.004 0.996 0.000 0.000 0.000
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 3 0.0955 8.45e-01 0.000 0.000 0.968 0.004 0.028
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#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 4 0.4294 -1.12e-01 0.000 0.000 0.468 0.532 0.000
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 5 0.0000 8.72e-01 0.000 0.000 0.000 0.000 1.000
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 3 0.3684 5.60e-01 0.000 0.000 0.720 0.000 0.280
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 4 0.6150 5.46e-01 0.136 0.248 0.016 0.600 0.000
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 1 0.0963 5.66e-01 0.964 0.036 0.000 0.000 0.000
#> ED9794C0-AC60-4B54-8214-D26714871BBF 1 0.3143 4.90e-01 0.796 0.204 0.000 0.000 0.000
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 4 0.5905 4.59e-01 0.420 0.088 0.004 0.488 0.000
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 2 0.0000 5.99e-01 0.000 1.000 0.000 0.000 0.000
#> 18D816AF-394A-482F-B22E-896A43B1E481 2 0.6033 8.40e-02 0.296 0.568 0.004 0.132 0.000
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 2 0.3857 5.69e-01 0.312 0.688 0.000 0.000 0.000
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 3 0.1341 8.32e-01 0.000 0.000 0.944 0.000 0.056
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 4 0.6905 4.20e-01 0.300 0.300 0.004 0.396 0.000
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 3 0.4242 3.31e-01 0.000 0.000 0.572 0.428 0.000
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 1 0.0794 5.68e-01 0.972 0.000 0.000 0.028 0.000
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 4 0.2825 6.64e-01 0.124 0.016 0.000 0.860 0.000
#> 7E809698-2473-4EFE-B896-1637983EC596 4 0.5492 5.59e-01 0.340 0.068 0.004 0.588 0.000
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 3 0.0865 8.45e-01 0.000 0.000 0.972 0.004 0.024
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 5 0.0000 8.72e-01 0.000 0.000 0.000 0.000 1.000
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 4 0.4747 9.38e-02 0.000 0.016 0.484 0.500 0.000
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.1478 5.74e-01 0.936 0.000 0.000 0.064 0.000
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.3051 5.49e-01 0.852 0.120 0.000 0.028 0.000
#> 73F28A79-7D35-4FE9-849D-FFE681483928 1 0.4227 1.23e-01 0.580 0.420 0.000 0.000 0.000
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 1 0.4318 4.69e-01 0.688 0.000 0.020 0.292 0.000
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 3 0.0162 8.39e-01 0.000 0.000 0.996 0.000 0.004
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 3 0.4192 2.66e-01 0.000 0.000 0.596 0.000 0.404
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 3 0.0451 8.40e-01 0.000 0.000 0.988 0.008 0.004
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 2 0.3857 5.69e-01 0.312 0.688 0.000 0.000 0.000
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 1 0.0290 5.67e-01 0.992 0.000 0.000 0.008 0.000
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 4 0.1300 6.54e-01 0.028 0.000 0.016 0.956 0.000
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 3 0.1341 8.14e-01 0.000 0.000 0.944 0.056 0.000
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 5 0.0000 8.72e-01 0.000 0.000 0.000 0.000 1.000
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 2 0.3857 5.69e-01 0.312 0.688 0.000 0.000 0.000
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.0162 5.99e-01 0.004 0.996 0.000 0.000 0.000
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 4 0.3098 6.62e-01 0.148 0.016 0.000 0.836 0.000
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 3 0.2970 7.32e-01 0.000 0.000 0.828 0.168 0.004
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 4 0.5333 5.89e-01 0.300 0.068 0.004 0.628 0.000
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 2 0.2690 6.05e-01 0.156 0.844 0.000 0.000 0.000
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 4 0.2964 6.39e-01 0.152 0.004 0.004 0.840 0.000
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 2 0.3661 5.86e-01 0.276 0.724 0.000 0.000 0.000
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.3774 3.79e-01 0.704 0.296 0.000 0.000 0.000
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.0794 8.45e-01 0.000 0.000 0.972 0.000 0.028
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 5 0.0880 8.57e-01 0.000 0.000 0.032 0.000 0.968
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 2 0.3796 5.76e-01 0.300 0.700 0.000 0.000 0.000
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 4 0.5401 -1.64e-01 0.452 0.000 0.056 0.492 0.000
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 4 0.6917 4.15e-01 0.296 0.312 0.004 0.388 0.000
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 4 0.2179 6.31e-01 0.000 0.000 0.100 0.896 0.004
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.3970 4.68e-01 0.752 0.224 0.000 0.024 0.000
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 1 0.4599 4.41e-01 0.624 0.000 0.020 0.356 0.000
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.4242 3.77e-02 0.572 0.428 0.000 0.000 0.000
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 1 0.2728 5.09e-01 0.888 0.068 0.004 0.040 0.000
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 1 0.4702 -1.02e-01 0.512 0.476 0.004 0.008 0.000
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 4 0.4278 4.75e-01 0.452 0.000 0.000 0.548 0.000
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 1 0.3151 4.98e-01 0.864 0.068 0.004 0.064 0.000
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 3 0.0794 8.45e-01 0.000 0.000 0.972 0.000 0.028
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 4 0.4505 3.17e-01 0.000 0.012 0.384 0.604 0.000
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 3 0.4114 4.76e-01 0.000 0.000 0.624 0.376 0.000
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 3 0.0609 8.32e-01 0.000 0.000 0.980 0.020 0.000
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 4 0.0609 6.60e-01 0.000 0.000 0.020 0.980 0.000
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 3 0.1478 8.28e-01 0.000 0.000 0.936 0.000 0.064
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 4 0.5275 5.95e-01 0.288 0.068 0.004 0.640 0.000
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 3 0.3895 5.65e-01 0.000 0.000 0.680 0.320 0.000
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.0794 8.45e-01 0.000 0.000 0.972 0.000 0.028
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.0324 5.97e-01 0.004 0.992 0.000 0.004 0.000
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 1 0.1990 5.23e-01 0.920 0.068 0.004 0.008 0.000
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 1 0.6942 -3.45e-01 0.364 0.300 0.004 0.332 0.000
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.0794 8.45e-01 0.000 0.000 0.972 0.000 0.028
#> CA356591-D24F-41A8-8C9A-1178C7781510 4 0.4138 1.31e-01 0.000 0.000 0.384 0.616 0.000
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 5 0.0000 8.72e-01 0.000 0.000 0.000 0.000 1.000
#> 825309CC-4841-4475-BF77-8250C5EEADD8 2 0.3857 5.69e-01 0.312 0.688 0.000 0.000 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 4 0.3190 0.65523 0.136 0.000 0.000 0.820 0.044 0.000
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 6 0.0935 0.82191 0.000 0.000 0.004 0.000 0.032 0.964
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 1 0.3864 0.08049 0.520 0.000 0.000 0.480 0.000 0.000
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 4 0.2340 0.67500 0.000 0.148 0.000 0.852 0.000 0.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 4 0.7166 0.20332 0.280 0.000 0.000 0.372 0.264 0.084
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 1 0.3834 0.64702 0.776 0.000 0.000 0.116 0.108 0.000
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 5 0.3575 0.66439 0.008 0.000 0.000 0.284 0.708 0.000
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 2 0.5486 0.35393 0.372 0.496 0.000 0.132 0.000 0.000
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.6024 0.08035 0.368 0.388 0.000 0.244 0.000 0.000
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 4 0.5072 0.12287 0.000 0.044 0.000 0.516 0.424 0.016
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 4 0.3737 0.18963 0.000 0.000 0.000 0.608 0.392 0.000
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.2092 0.77193 0.000 0.000 0.876 0.000 0.000 0.124
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 6 0.5444 0.47625 0.000 0.000 0.216 0.000 0.208 0.576
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 4 0.3655 0.65434 0.076 0.136 0.000 0.788 0.000 0.000
#> ECB2DF14-CF68-44D4-8719-973AE448B992 5 0.2300 0.71864 0.000 0.000 0.000 0.144 0.856 0.000
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 5 0.4039 0.47951 0.008 0.000 0.000 0.424 0.568 0.000
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 3 0.0458 0.85520 0.000 0.000 0.984 0.000 0.000 0.016
#> 3282F146-2782-4877-9EFE-6020AC277A8C 4 0.2170 0.63611 0.012 0.000 0.000 0.888 0.100 0.000
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 4 0.4343 0.57712 0.156 0.120 0.000 0.724 0.000 0.000
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 5 0.2743 0.71928 0.008 0.000 0.000 0.164 0.828 0.000
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 4 0.4253 0.61486 0.160 0.000 0.000 0.732 0.108 0.000
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 5 0.4871 0.56165 0.244 0.000 0.000 0.112 0.644 0.000
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 4 0.2219 0.67832 0.000 0.136 0.000 0.864 0.000 0.000
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 6 0.4871 0.57811 0.000 0.000 0.144 0.000 0.196 0.660
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 5 0.0291 0.69623 0.004 0.000 0.000 0.004 0.992 0.000
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 5 0.1806 0.71534 0.004 0.000 0.000 0.088 0.908 0.000
#> C945DDA9-0194-46F4-89E2-13883284D5A4 5 0.5541 0.36879 0.008 0.000 0.004 0.100 0.536 0.352
#> 79B11925-9772-474F-A729-D00315959710 1 0.1267 0.73498 0.940 0.060 0.000 0.000 0.000 0.000
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 4 0.5945 0.05863 0.360 0.220 0.000 0.420 0.000 0.000
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 3 0.2554 0.79278 0.000 0.000 0.876 0.000 0.076 0.048
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 1 0.5025 0.04602 0.492 0.000 0.000 0.072 0.436 0.000
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.3563 0.34076 0.664 0.336 0.000 0.000 0.000 0.000
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.4184 0.26017 0.016 0.576 0.000 0.408 0.000 0.000
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 6 0.5109 0.34176 0.000 0.000 0.316 0.000 0.104 0.580
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.0000 0.86217 0.000 0.000 1.000 0.000 0.000 0.000
#> 26796E5F-C0C2-466C-9012-882F6D29C149 5 0.6004 0.09621 0.276 0.000 0.000 0.288 0.436 0.000
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 5 0.1606 0.67180 0.056 0.000 0.000 0.008 0.932 0.004
#> 1492D21A-6458-4B49-B530-7A327FCDD031 1 0.3494 0.51503 0.736 0.252 0.000 0.012 0.000 0.000
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 2 0.2697 0.73578 0.188 0.812 0.000 0.000 0.000 0.000
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 4 0.3065 0.60244 0.028 0.000 0.000 0.820 0.152 0.000
#> B823982D-4102-4D21-B9CB-8C42830784F4 2 0.3023 0.70245 0.232 0.768 0.000 0.000 0.000 0.000
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 5 0.3445 0.67373 0.008 0.000 0.000 0.260 0.732 0.000
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.1814 0.73047 0.000 0.900 0.000 0.100 0.000 0.000
#> E846120D-D9E6-46F8-9647-2272AB064072 6 0.6065 -0.00519 0.004 0.000 0.372 0.000 0.216 0.408
#> 36880C8C-91A9-49A9-A2D5-957161737F31 2 0.5915 0.11377 0.180 0.440 0.000 0.376 0.004 0.000
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.2730 0.65609 0.000 0.808 0.000 0.192 0.000 0.000
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 1 0.3804 0.04246 0.576 0.424 0.000 0.000 0.000 0.000
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 5 0.1708 0.70222 0.024 0.000 0.000 0.040 0.932 0.004
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 1 0.1327 0.73853 0.936 0.000 0.000 0.064 0.000 0.000
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 1 0.0508 0.75123 0.984 0.004 0.000 0.012 0.000 0.000
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 5 0.3766 0.65167 0.000 0.000 0.000 0.040 0.748 0.212
#> 116F3F29-AB89-4F00-9003-559041E285EB 5 0.2664 0.71541 0.000 0.000 0.000 0.184 0.816 0.000
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 5 0.5093 0.32795 0.000 0.084 0.000 0.388 0.528 0.000
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 5 0.2786 0.70147 0.084 0.000 0.000 0.056 0.860 0.000
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 4 0.1970 0.69243 0.000 0.092 0.000 0.900 0.008 0.000
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 1 0.3515 0.46009 0.676 0.000 0.000 0.324 0.000 0.000
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 1 0.5215 0.44758 0.600 0.000 0.000 0.144 0.256 0.000
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 5 0.3727 0.53668 0.000 0.000 0.000 0.388 0.612 0.000
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 6 0.0146 0.83221 0.000 0.000 0.004 0.000 0.000 0.996
#> 299CB633-58A3-4275-BC08-E6F3669C365A 2 0.2340 0.74707 0.148 0.852 0.000 0.000 0.000 0.000
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 6 0.0146 0.83221 0.000 0.000 0.004 0.000 0.000 0.996
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.1863 0.72969 0.000 0.896 0.000 0.104 0.000 0.000
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 6 0.1285 0.81249 0.000 0.000 0.004 0.000 0.052 0.944
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 5 0.0858 0.68546 0.004 0.000 0.000 0.000 0.968 0.028
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 4 0.3013 0.68862 0.064 0.028 0.000 0.864 0.044 0.000
#> CD576099-5450-4232-9B59-08341BED8FFA 4 0.5201 0.49913 0.020 0.172 0.000 0.664 0.144 0.000
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 4 0.2147 0.69218 0.000 0.084 0.000 0.896 0.020 0.000
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 2 0.3482 0.59767 0.316 0.684 0.000 0.000 0.000 0.000
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 1 0.0405 0.75100 0.988 0.000 0.000 0.008 0.004 0.000
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 4 0.2962 0.68451 0.000 0.084 0.000 0.848 0.068 0.000
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 4 0.2799 0.65279 0.076 0.000 0.000 0.860 0.064 0.000
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 6 0.0146 0.83221 0.000 0.000 0.004 0.000 0.000 0.996
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 2 0.3737 0.45057 0.392 0.608 0.000 0.000 0.000 0.000
#> 57E380FC-B6AB-466F-9936-D52192888008 1 0.3217 0.56450 0.768 0.224 0.000 0.008 0.000 0.000
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#> ED9794C0-AC60-4B54-8214-D26714871BBF 1 0.1265 0.74150 0.948 0.044 0.000 0.008 0.000 0.000
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 4 0.3424 0.68575 0.012 0.080 0.000 0.828 0.080 0.000
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 2 0.1663 0.73460 0.000 0.912 0.000 0.088 0.000 0.000
#> 18D816AF-394A-482F-B22E-896A43B1E481 4 0.2778 0.64635 0.008 0.168 0.000 0.824 0.000 0.000
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 2 0.2697 0.73422 0.188 0.812 0.000 0.000 0.000 0.000
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 6 0.0790 0.82099 0.000 0.000 0.032 0.000 0.000 0.968
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 4 0.2118 0.69200 0.000 0.104 0.000 0.888 0.008 0.000
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 5 0.3265 0.48619 0.004 0.000 0.000 0.000 0.748 0.248
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 1 0.1765 0.71825 0.904 0.000 0.000 0.096 0.000 0.000
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 5 0.3861 0.57682 0.008 0.000 0.000 0.352 0.640 0.000
#> 7E809698-2473-4EFE-B896-1637983EC596 4 0.3681 0.58573 0.064 0.000 0.000 0.780 0.156 0.000
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 6 0.0146 0.83221 0.000 0.000 0.004 0.000 0.000 0.996
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 3 0.0000 0.86217 0.000 0.000 1.000 0.000 0.000 0.000
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 6 0.5871 -0.02680 0.000 0.000 0.000 0.216 0.320 0.464
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.0603 0.75163 0.980 0.000 0.000 0.016 0.004 0.000
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.0436 0.75103 0.988 0.004 0.000 0.004 0.004 0.000
#> 73F28A79-7D35-4FE9-849D-FFE681483928 1 0.3756 0.11442 0.600 0.400 0.000 0.000 0.000 0.000
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 1 0.3133 0.63997 0.780 0.000 0.000 0.008 0.212 0.000
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 6 0.0000 0.83110 0.000 0.000 0.000 0.000 0.000 1.000
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 6 0.3717 0.31107 0.000 0.000 0.384 0.000 0.000 0.616
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 6 0.1753 0.77771 0.000 0.000 0.004 0.084 0.000 0.912
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 2 0.2340 0.74707 0.148 0.852 0.000 0.000 0.000 0.000
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 1 0.0363 0.75106 0.988 0.000 0.000 0.012 0.000 0.000
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 5 0.3700 0.71105 0.068 0.000 0.000 0.152 0.780 0.000
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 6 0.3240 0.69383 0.004 0.000 0.000 0.000 0.244 0.752
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.0000 0.86217 0.000 0.000 1.000 0.000 0.000 0.000
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 2 0.2340 0.74707 0.148 0.852 0.000 0.000 0.000 0.000
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.2170 0.73399 0.012 0.888 0.000 0.100 0.000 0.000
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 5 0.3769 0.57388 0.004 0.000 0.000 0.356 0.640 0.000
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 6 0.3492 0.71349 0.000 0.000 0.004 0.032 0.176 0.788
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 4 0.3738 0.60530 0.040 0.000 0.000 0.752 0.208 0.000
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 2 0.2826 0.76119 0.092 0.856 0.000 0.052 0.000 0.000
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 5 0.4757 0.61860 0.180 0.000 0.000 0.144 0.676 0.000
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 2 0.3012 0.73571 0.196 0.796 0.000 0.008 0.000 0.000
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.0632 0.74736 0.976 0.024 0.000 0.000 0.000 0.000
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 6 0.0146 0.83221 0.000 0.000 0.004 0.000 0.000 0.996
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 3 0.0790 0.84549 0.000 0.000 0.968 0.000 0.000 0.032
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 2 0.1910 0.75415 0.108 0.892 0.000 0.000 0.000 0.000
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 5 0.3967 0.18453 0.356 0.000 0.000 0.000 0.632 0.012
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 4 0.2219 0.67832 0.000 0.136 0.000 0.864 0.000 0.000
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 5 0.1471 0.71706 0.000 0.000 0.000 0.064 0.932 0.004
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.0146 0.75024 0.996 0.004 0.000 0.000 0.000 0.000
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 1 0.3986 0.27610 0.532 0.000 0.000 0.000 0.464 0.004
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.1863 0.69732 0.896 0.104 0.000 0.000 0.000 0.000
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 4 0.3864 0.05733 0.480 0.000 0.000 0.520 0.000 0.000
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 1 0.5219 0.39654 0.580 0.124 0.000 0.296 0.000 0.000
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 4 0.5822 0.33493 0.276 0.000 0.000 0.492 0.232 0.000
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 4 0.2793 0.60038 0.200 0.000 0.000 0.800 0.000 0.000
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 6 0.0146 0.83221 0.000 0.000 0.004 0.000 0.000 0.996
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 5 0.5523 0.45084 0.004 0.000 0.000 0.140 0.548 0.308
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 5 0.3907 -0.06104 0.004 0.000 0.000 0.000 0.588 0.408
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 6 0.1387 0.80265 0.000 0.000 0.000 0.000 0.068 0.932
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 5 0.2805 0.71475 0.004 0.000 0.000 0.184 0.812 0.000
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 6 0.0937 0.81664 0.000 0.000 0.040 0.000 0.000 0.960
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 4 0.1863 0.63653 0.000 0.000 0.000 0.896 0.104 0.000
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 6 0.4960 0.37840 0.000 0.000 0.000 0.092 0.308 0.600
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 6 0.0146 0.83221 0.000 0.000 0.004 0.000 0.000 0.996
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.1957 0.72578 0.000 0.888 0.000 0.112 0.000 0.000
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 1 0.3371 0.51927 0.708 0.000 0.000 0.292 0.000 0.000
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 4 0.2605 0.69393 0.028 0.108 0.000 0.864 0.000 0.000
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 6 0.0146 0.83221 0.000 0.000 0.004 0.000 0.000 0.996
#> CA356591-D24F-41A8-8C9A-1178C7781510 5 0.2941 0.65048 0.000 0.000 0.000 0.000 0.780 0.220
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.0000 0.86217 0.000 0.000 1.000 0.000 0.000 0.000
#> 825309CC-4841-4475-BF77-8250C5EEADD8 2 0.2562 0.73721 0.172 0.828 0.000 0.000 0.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["ATC", "mclust"]
# you can also extract it by
# res = res_list["ATC:mclust"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#> On a matrix with 17888 rows and 430 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 0.416 0.681 0.817 0.3613 0.635 0.635
#> 3 3 0.476 0.790 0.859 0.6635 0.673 0.512
#> 4 4 0.615 0.806 0.877 0.1300 0.701 0.401
#> 5 5 0.666 0.737 0.835 0.0547 0.943 0.832
#> 6 6 0.656 0.669 0.809 0.0560 0.949 0.834
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
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 2 0.1414 0.8165 0.020 0.980
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 1 0.0000 0.6906 1.000 0.000
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 1 0.9358 0.7040 0.648 0.352
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.5408 0.7425 0.124 0.876
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 1 0.9358 0.7040 0.648 0.352
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 1 0.9358 0.7040 0.648 0.352
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 1 0.9427 0.6922 0.640 0.360
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 2 0.0000 0.8226 0.000 1.000
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.0000 0.8226 0.000 1.000
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 1 0.9491 0.6798 0.632 0.368
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.9866 -0.0797 0.432 0.568
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 1 0.0000 0.6906 1.000 0.000
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.0000 0.6906 1.000 0.000
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.0000 0.8226 0.000 1.000
#> ECB2DF14-CF68-44D4-8719-973AE448B992 1 0.9358 0.7040 0.648 0.352
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 1 0.9460 0.6859 0.636 0.364
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 1 0.0000 0.6906 1.000 0.000
#> 3282F146-2782-4877-9EFE-6020AC277A8C 2 0.0000 0.8226 0.000 1.000
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 2 0.0000 0.8226 0.000 1.000
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 1 0.9358 0.7040 0.648 0.352
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 1 0.9358 0.7040 0.648 0.352
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 1 0.9358 0.7040 0.648 0.352
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.2948 0.8005 0.052 0.948
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 1 0.0000 0.6906 1.000 0.000
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 1 0.0938 0.6918 0.988 0.012
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 1 0.9358 0.7040 0.648 0.352
#> C945DDA9-0194-46F4-89E2-13883284D5A4 1 0.6148 0.6990 0.848 0.152
#> 79B11925-9772-474F-A729-D00315959710 1 0.9358 0.7040 0.648 0.352
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 2 0.1414 0.8167 0.020 0.980
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 1 0.0000 0.6906 1.000 0.000
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 1 0.9358 0.7040 0.648 0.352
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.9358 0.7040 0.648 0.352
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.1414 0.8165 0.020 0.980
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 1 0.0000 0.6906 1.000 0.000
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 1 0.0000 0.6906 1.000 0.000
#> 26796E5F-C0C2-466C-9012-882F6D29C149 1 0.9358 0.7040 0.648 0.352
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 0.6712 0.6981 0.824 0.176
#> 1492D21A-6458-4B49-B530-7A327FCDD031 1 0.9358 0.7040 0.648 0.352
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 1 0.9460 0.6859 0.636 0.364
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 2 0.0000 0.8226 0.000 1.000
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.9358 0.7040 0.648 0.352
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 1 0.9087 0.7039 0.676 0.324
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.0000 0.8226 0.000 1.000
#> E846120D-D9E6-46F8-9647-2272AB064072 1 0.0000 0.6906 1.000 0.000
#> 36880C8C-91A9-49A9-A2D5-957161737F31 2 0.6623 0.6909 0.172 0.828
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.0000 0.8226 0.000 1.000
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 1 0.9460 0.6859 0.636 0.364
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 1 0.6048 0.6956 0.852 0.148
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 1 0.9358 0.7040 0.648 0.352
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 1 0.9358 0.7040 0.648 0.352
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 1 0.2778 0.6936 0.952 0.048
#> 116F3F29-AB89-4F00-9003-559041E285EB 1 0.9358 0.7040 0.648 0.352
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.9358 0.2902 0.352 0.648
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#> EB6F4C11-9485-4214-B0F1-A92115ACE830 1 0.0000 0.6906 1.000 0.000
#> 2EB207C8-97E1-4F3F-97B7-ABF11D130326 1 0.7139 0.6997 0.804 0.196
#> 1588114F-6C7F-4052-9140-52D95CAB0C52 1 0.0000 0.6906 1.000 0.000
#> F960A921-36AD-4D3E-99BE-4FB9A4869B6B 2 0.9909 -0.1194 0.444 0.556
#> FB656602-744B-45B4-AF07-AD3285BCA0BB 1 0.9358 0.7040 0.648 0.352
#> A57B85C7-3FC2-4045-8C37-8F665C1B1459 1 0.6438 0.6971 0.836 0.164
#> 691E37EE-96BE-4D6C-9797-67491D7575EA 2 0.0000 0.8226 0.000 1.000
#> 38443F8E-9707-4995-BA83-39C8D93A2AF1 1 0.0000 0.6906 1.000 0.000
#> DC56C1DC-3FC8-49CA-BC9E-AFED2BEF11A0 1 0.9358 0.7040 0.648 0.352
#> 2EE2F4A6-C908-48B0-8D5D-5B3A4111FB21 1 0.0000 0.6906 1.000 0.000
#> D67FDA28-D47C-4672-867E-367DF0202E52 1 0.9323 0.7042 0.652 0.348
#> FD5382F5-6500-4CD7-85C6-97488B2187B4 1 0.9460 0.6859 0.636 0.364
#> BC8994E6-FD91-4B7C-950C-C953FD175A03 1 0.0000 0.6906 1.000 0.000
#> 838BB79C-0B89-4BAC-B1B5-C9524B02EB2E 1 0.0000 0.6906 1.000 0.000
#> E4EADDC1-7E3A-44F5-B1B9-03712D34845E 1 0.0000 0.6906 1.000 0.000
#> 17FADB7C-F0E7-4197-81DD-6124234F66F6 1 0.0000 0.6906 1.000 0.000
#> 88578AE6-BEA7-4C8E-B4F1-5AFFC2C860FE 1 0.0000 0.6906 1.000 0.000
#> C2362B18-3B5C-48DD-B9DB-B20861ED73E6 1 0.9323 0.7042 0.652 0.348
#> 504270C4-9AD7-47DD-98A3-994713742235 1 0.0000 0.6906 1.000 0.000
#> 4DC26F02-A83F-4F3A-A5B8-BD798778B022 1 0.0000 0.6906 1.000 0.000
#> 057404EA-E563-4BA7-AB70-1791AB89B38F 1 0.9358 0.7040 0.648 0.352
#> 2BDB4B13-7B89-454E-B06B-564A8D57CD06 1 0.9358 0.7040 0.648 0.352
#> 0A136122-8233-42FB-89BD-795780B5E94B 1 0.9358 0.7040 0.648 0.352
#> E87FB9EC-A661-41EA-A6E3-BEB629BB3309 1 0.0000 0.6906 1.000 0.000
#> 5B41C173-0A28-498B-8245-18C35D31ECCC 1 0.0000 0.6906 1.000 0.000
#> EE2DCABE-DDD1-4C21-9D42-2E12D2FE16C3 1 0.0000 0.6906 1.000 0.000
#> 7493CB4A-C641-42A4-9BE9-394F2AE9287D 2 0.9983 -0.2589 0.476 0.524
#> 7AF6E8FF-2E16-4D5B-A475-8C2492BE0325 1 0.0000 0.6906 1.000 0.000
#> AF9B58D8-D875-412B-99F5-1E7768C18080 1 0.9358 0.7040 0.648 0.352
#> 0EEEDCFE-9FB9-4F12-9ADB-701AF3324B0F 1 0.0000 0.6906 1.000 0.000
#> F96A4D39-CA48-4D92-94D7-951B746407B5 1 0.0000 0.6906 1.000 0.000
#> DDB6A47A-3E0A-4738-9D1E-EAB8682485C3 1 0.9358 0.7040 0.648 0.352
#> 914276B4-F36B-49F9-8F2A-05296459F3EB 2 0.9795 0.0141 0.416 0.584
#> 94D3B158-1C7B-43A2-AE00-64E115344C52 2 0.0000 0.8226 0.000 1.000
#> 8A125E59-3E7E-4A77-9F5C-94AAD54C95E5 1 0.8499 0.7048 0.724 0.276
#> F1AD0BF7-6094-4B0D-9FE1-F8439124269A 1 0.9358 0.7040 0.648 0.352
#> 3F7EC434-13A6-46C4-8791-C8992192C3D6 2 0.0672 0.8208 0.008 0.992
#> 65D42DF3-62D8-4B1E-B6EB-A0FEEA01FD70 1 0.0376 0.6910 0.996 0.004
#> 7A42FA71-7FD7-47B6-842B-0BEF0ECD7FB5 1 0.9460 0.6859 0.636 0.364
#> 57F784E9-1827-476B-9AA6-524E842641EA 1 0.0000 0.6906 1.000 0.000
#> 5E79792E-CE89-4ECF-BD4E-B12877E63949 1 0.7299 0.6993 0.796 0.204
#> E9DB46D8-5CE4-472C-8F21-9180F2D4C880 1 0.9427 0.6922 0.640 0.360
#> 7C712EF3-7368-4D97-BB9A-717CF8522C7F 1 0.0000 0.6906 1.000 0.000
#> 30312D82-4966-4EAA-A067-F91852FA8663 2 0.9922 -0.1458 0.448 0.552
#> ECC62CBA-16AB-45F0-9C5A-72F302B4A188 1 0.7299 0.6993 0.796 0.204
#> 5AF4899F-D8E1-4CB6-B3DC-F0C60C808838 1 0.0000 0.6906 1.000 0.000
#> BBCEA0D1-DE66-4C0C-8D3C-D1398D04B472 1 0.9427 0.6922 0.640 0.360
#> 154764CD-AC69-4F48-A212-8B27C076C91A 1 0.7815 0.7013 0.768 0.232
#> 33266777-E07B-49D0-9E24-2EDE2577CF16 1 0.9358 0.7040 0.648 0.352
#> 7DAE9720-3922-4680-9F95-75C029B7FDA9 1 0.0000 0.6906 1.000 0.000
#> 1BC2ECED-0425-4382-BB94-F57ED2687F18 1 0.9358 0.7040 0.648 0.352
#> 0901D931-77BE-47B0-AE5F-C26C6A144CA0 1 0.9358 0.7040 0.648 0.352
#> 77AFFD5F-F715-4242-95C9-5F36E061B3E2 1 0.9358 0.7040 0.648 0.352
#> FAB4A6D6-E978-4172-9FE1-79FC50C0F849 2 0.0000 0.8226 0.000 1.000
#> 32C4DF54-39DD-4F62-B938-82ED2A0E0FFD 1 0.9358 0.7040 0.648 0.352
#> 9911D83E-6DDF-4048-9A34-22BFA1D68BBD 1 0.0000 0.6906 1.000 0.000
#> 4BAC0A03-BB88-4D19-86F9-FF093330C9B3 1 0.0672 0.6914 0.992 0.008
#> 18F63ADA-1828-43DD-AE1F-F36706C204CD 1 0.0000 0.6906 1.000 0.000
#> 66729295-C0AA-42C7-92C9-05194EF02276 1 0.0000 0.6906 1.000 0.000
#> 4CCA3104-B557-403D-AC06-A6D4936DDC04 1 0.0000 0.6906 1.000 0.000
#> 77D4165E-7CB1-4D69-AFE5-C8D914531651 1 0.9358 0.7040 0.648 0.352
#> BA12A05A-622A-424D-8108-3F5916405EB0 1 0.0000 0.6906 1.000 0.000
#> DED4EA4D-9DC2-4419-83EC-2BFE75DC1830 2 0.9896 -0.1042 0.440 0.560
#> 13A35364-57C5-4F5A-B077-3BA2689BFDD3 1 0.9358 0.7040 0.648 0.352
#> 2641B816-1D21-496E-85AD-1C690C9146A6 1 0.0000 0.6906 1.000 0.000
#> 96E2AD09-7287-4B91-840E-81444A61D56F 1 0.3584 0.6946 0.932 0.068
#> 62F3327F-FB16-4AD0-BCF5-B180F28281A9 2 0.0000 0.8226 0.000 1.000
#> 112F7032-0212-4939-9449-D67E3600CCD5 1 0.0000 0.6906 1.000 0.000
#> A3B4DE21-DDF0-4468-A300-7BECBAFD0BCD 1 0.9358 0.7040 0.648 0.352
#> 0A03E593-6931-419C-AE47-51D75185C2C0 1 0.4815 0.6970 0.896 0.104
#> 2416A3DC-A563-4FD1-A139-0E6EF7185211 2 0.0000 0.8226 0.000 1.000
#> 18B29573-822C-405F-B793-DBC8924866CE 2 0.9970 -0.2273 0.468 0.532
#> 994EC227-B239-4CEE-AC96-EB5CC0AF583E 1 0.9358 0.7040 0.648 0.352
#> 950933A3-5757-4914-9DC5-C220C2A455FD 1 0.0000 0.6906 1.000 0.000
#> DBDFE95C-F941-407A-BE7D-D43D50143C4D 1 0.6247 0.6963 0.844 0.156
#> D024393C-29D0-41C4-AB86-7E94581FDD26 2 0.0000 0.8226 0.000 1.000
#> 4975AB35-93E5-400D-A429-CEA81BA89FFE 1 0.9358 0.7040 0.648 0.352
#> 666ADCA2-1AE4-4843-B1C8-8EE29C44AE74 1 0.9358 0.7040 0.648 0.352
#> A8F79C08-3943-4707-ADCB-890A955B5394 2 0.0000 0.8226 0.000 1.000
#> A81614ED-14CB-4EBC-988E-F67FBCBF62D8 1 0.7299 0.6993 0.796 0.204
#> E27E65C8-5B57-4C91-9D20-C075AEA2F2C5 1 0.9358 0.7040 0.648 0.352
#> 745F18CA-080D-42FE-BAA6-89AD7E3D3408 2 0.0000 0.8226 0.000 1.000
#> E755A625-799D-4A39-9D56-080228E0B669 1 0.9358 0.7040 0.648 0.352
#> 3D94EFB8-94D4-4FDE-97D8-18A159279996 1 0.0000 0.6906 1.000 0.000
#> 3D305C2E-6C86-4684-AA2A-155291AB4CC3 1 0.9358 0.7040 0.648 0.352
#> E140052A-5434-4C44-9873-0318D1D272CA 2 0.0000 0.8226 0.000 1.000
#> 68E56692-D46D-4A27-86CD-717E10AADDDA 1 0.0000 0.6906 1.000 0.000
#> 00A0586E-5F05-47B3-925C-87E811B0893B 1 0.0000 0.6906 1.000 0.000
#> E2B019A7-7C95-40FE-800C-D30E9730825C 1 0.9358 0.7040 0.648 0.352
#> 1B9ABB69-5CC6-4B6B-ABBC-71CC3274C7F0 1 0.9358 0.7040 0.648 0.352
#> FAE396AA-3C3C-4AF9-953D-385C41B2DB5B 1 0.9358 0.7040 0.648 0.352
#> 6BE4397D-1E5B-4486-83B4-EE0EC146C805 2 0.0000 0.8226 0.000 1.000
#> EE38BD4E-5A08-4639-912F-04203F53762F 1 0.9358 0.7040 0.648 0.352
#> 4050E7F8-80B6-46F2-8FF0-D4EC313E975B 1 0.0376 0.6910 0.996 0.004
#> F3565161-FFBE-4138-9773-558DB386710C 1 0.9358 0.7040 0.648 0.352
#> BA9ABEB1-D3F0-4F09-A647-25211C47C3D0 2 0.9248 0.3262 0.340 0.660
#> 9E41E79A-4028-4F60-8250-411F191B665C 1 0.9358 0.7040 0.648 0.352
#> 5F1D3EFD-ECDA-4C92-8D81-491484F09C95 1 0.9358 0.7040 0.648 0.352
#> 0DBA04CB-417D-4E2B-BE83-3563F45291C4 1 0.9358 0.7040 0.648 0.352
#> B9B882A5-194B-4F5C-B702-0CF71CA6D9D2 2 0.3274 0.7951 0.060 0.940
#> 67FE7638-B8F5-4631-B178-AC23B0382983 1 0.9358 0.7040 0.648 0.352
#> FE03FC2C-9A4E-4F89-8681-E33DFECCC692 1 0.9358 0.7040 0.648 0.352
#> 2B22B4B7-8A39-435C-BE3B-86FA84C8F941 1 0.0000 0.6906 1.000 0.000
#> 00844B35-C108-4AEC-A687-4A91A2F33E6D 1 0.9358 0.7040 0.648 0.352
#> C221EE7A-6343-4B6D-B322-0A2C0F0B29AF 1 0.9358 0.7040 0.648 0.352
#> B28A6D56-7654-4829-BF1F-657C3C2C10D8 1 0.0000 0.6906 1.000 0.000
#> F4C7BCEC-3CD4-4D9A-89EA-0ED58EA0DCFE 1 0.9358 0.7040 0.648 0.352
#> F06FBFAB-D143-47AE-BEE7-51B48164764F 1 0.0000 0.6906 1.000 0.000
#> 525F522B-E865-4479-AE65-510903ABF46F 1 0.0000 0.6906 1.000 0.000
#> F0CB60E3-C412-46A2-918F-8C5C099AB224 1 0.9358 0.7040 0.648 0.352
#> 587F307F-6E1B-487E-8E47-A99AB43DC5B4 1 0.0000 0.6906 1.000 0.000
#> 883D9145-8414-4571-A3E1-516F03452C46 1 0.0000 0.6906 1.000 0.000
#> 4A917271-7EA0-4F43-B474-7F5EA756EB05 1 0.9358 0.7040 0.648 0.352
#> BB33015D-218C-4A1E-8839-95837D6E9B88 1 0.9358 0.7040 0.648 0.352
#> 021CC81F-710D-4EEA-B1D8-012A81715ACC 1 0.9358 0.7040 0.648 0.352
#> B00C4925-47E3-4442-ABEB-82D714A26587 1 0.9358 0.7040 0.648 0.352
#> F79B27D3-0426-47BB-9756-7E0759246E5E 1 0.8443 0.7025 0.728 0.272
#> 1F179559-D93E-491C-B499-64F86C31DAE0 1 0.0000 0.6906 1.000 0.000
#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 1 0.1414 0.6925 0.980 0.020
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 1 0.0000 0.6906 1.000 0.000
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 1 0.0000 0.6906 1.000 0.000
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 1 0.7528 0.7002 0.784 0.216
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 1 0.9358 0.7040 0.648 0.352
#> ED9794C0-AC60-4B54-8214-D26714871BBF 1 0.9358 0.7040 0.648 0.352
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 2 0.0000 0.8226 0.000 1.000
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 2 0.0000 0.8226 0.000 1.000
#> 18D816AF-394A-482F-B22E-896A43B1E481 2 0.0000 0.8226 0.000 1.000
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 1 0.9358 0.7040 0.648 0.352
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 1 0.0000 0.6906 1.000 0.000
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 2 0.0000 0.8226 0.000 1.000
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 1 0.0000 0.6906 1.000 0.000
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 2 0.9323 0.2858 0.348 0.652
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 1 0.9427 0.6922 0.640 0.360
#> 7E809698-2473-4EFE-B896-1637983EC596 2 0.0000 0.8226 0.000 1.000
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 1 0.0000 0.6906 1.000 0.000
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 1 0.0000 0.6906 1.000 0.000
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 1 0.9427 0.6922 0.640 0.360
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.9358 0.7040 0.648 0.352
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.9358 0.7040 0.648 0.352
#> 73F28A79-7D35-4FE9-849D-FFE681483928 1 0.9358 0.7040 0.648 0.352
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 1 0.9358 0.7040 0.648 0.352
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 1 0.0000 0.6906 1.000 0.000
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 1 0.0000 0.6906 1.000 0.000
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 1 0.7745 0.6994 0.772 0.228
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.9358 0.7040 0.648 0.352
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 1 0.9358 0.7040 0.648 0.352
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 1 0.9358 0.7040 0.648 0.352
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 1 0.0000 0.6906 1.000 0.000
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 1 0.0000 0.6906 1.000 0.000
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.9358 0.7040 0.648 0.352
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.3733 0.7879 0.072 0.928
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 2 0.0376 0.8218 0.004 0.996
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 1 0.7299 0.6993 0.796 0.204
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 1 0.9358 0.7040 0.648 0.352
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 2 0.0376 0.8219 0.004 0.996
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 1 0.9358 0.7040 0.648 0.352
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 1 0.9909 0.5182 0.556 0.444
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.9358 0.7040 0.648 0.352
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 1 0.0000 0.6906 1.000 0.000
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.0000 0.6906 1.000 0.000
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.9358 0.7040 0.648 0.352
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.6048 0.6956 0.852 0.148
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.0000 0.8226 0.000 1.000
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 1 0.6887 0.6990 0.816 0.184
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.9358 0.7040 0.648 0.352
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 1 0.9358 0.7040 0.648 0.352
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.9358 0.7040 0.648 0.352
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 1 0.9358 0.7040 0.648 0.352
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 2 0.4298 0.7754 0.088 0.912
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 2 0.8207 0.5405 0.256 0.744
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 2 0.0000 0.8226 0.000 1.000
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 1 0.0000 0.6906 1.000 0.000
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 1 0.8909 0.7046 0.692 0.308
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.0000 0.6906 1.000 0.000
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.0000 0.6906 1.000 0.000
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 1 0.9358 0.7040 0.648 0.352
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 1 0.0000 0.6906 1.000 0.000
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.0000 0.8226 0.000 1.000
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 1 0.8016 0.7016 0.756 0.244
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 1 0.0000 0.6906 1.000 0.000
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 1 0.9580 0.6593 0.620 0.380
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 2 0.0000 0.8226 0.000 1.000
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 2 0.0000 0.8226 0.000 1.000
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 1 0.0000 0.6906 1.000 0.000
#> CA356591-D24F-41A8-8C9A-1178C7781510 1 0.9460 0.6859 0.636 0.364
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 1 0.0000 0.6906 1.000 0.000
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.9358 0.7040 0.648 0.352
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 2 0.0000 0.8740 0.000 1.000 0.000
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.4002 0.8216 0.160 0.000 0.840
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 2 0.8841 0.2755 0.136 0.536 0.328
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.1163 0.8654 0.000 0.972 0.028
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 3 0.4873 0.7895 0.024 0.152 0.824
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 1 0.7739 0.6729 0.644 0.088 0.268
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 3 0.7129 0.4176 0.028 0.392 0.580
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 2 0.0000 0.8740 0.000 1.000 0.000
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.0000 0.8740 0.000 1.000 0.000
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 3 0.7130 0.3099 0.024 0.432 0.544
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.2955 0.8248 0.008 0.912 0.080
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.0892 0.8603 0.020 0.000 0.980
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 3 0.3267 0.8481 0.116 0.000 0.884
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.0000 0.8740 0.000 1.000 0.000
#> ECB2DF14-CF68-44D4-8719-973AE448B992 3 0.5307 0.7956 0.048 0.136 0.816
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 2 0.6124 0.6194 0.036 0.744 0.220
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 3 0.2625 0.8500 0.084 0.000 0.916
#> 3282F146-2782-4877-9EFE-6020AC277A8C 2 0.0000 0.8740 0.000 1.000 0.000
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 2 0.0424 0.8729 0.008 0.992 0.000
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 3 0.6119 0.7645 0.064 0.164 0.772
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 3 0.6809 0.1828 0.012 0.464 0.524
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 3 0.7577 0.5585 0.060 0.324 0.616
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.0237 0.8741 0.000 0.996 0.004
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 3 0.1289 0.8595 0.032 0.000 0.968
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 3 0.1860 0.8584 0.052 0.000 0.948
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 3 0.5757 0.7793 0.056 0.152 0.792
#> C945DDA9-0194-46F4-89E2-13883284D5A4 3 0.2339 0.8598 0.048 0.012 0.940
#> 79B11925-9772-474F-A729-D00315959710 1 0.5060 0.9166 0.836 0.100 0.064
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 2 0.0000 0.8740 0.000 1.000 0.000
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 3 0.1289 0.8595 0.032 0.000 0.968
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 1 0.9260 0.3481 0.464 0.160 0.376
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.5060 0.9166 0.836 0.100 0.064
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.0424 0.8734 0.000 0.992 0.008
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 3 0.1289 0.8595 0.032 0.000 0.968
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.2448 0.8513 0.076 0.000 0.924
#> 26796E5F-C0C2-466C-9012-882F6D29C149 3 0.6522 0.6548 0.032 0.272 0.696
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 3 0.6527 0.7093 0.188 0.068 0.744
#> 1492D21A-6458-4B49-B530-7A327FCDD031 1 0.4821 0.9172 0.848 0.088 0.064
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 1 0.7499 0.5480 0.592 0.360 0.048
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 2 0.0000 0.8740 0.000 1.000 0.000
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.4902 0.9174 0.844 0.092 0.064
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 3 0.3896 0.8421 0.052 0.060 0.888
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.0000 0.8740 0.000 1.000 0.000
#> E846120D-D9E6-46F8-9647-2272AB064072 3 0.2959 0.8498 0.100 0.000 0.900
#> 36880C8C-91A9-49A9-A2D5-957161737F31 2 0.0237 0.8741 0.000 0.996 0.004
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.0000 0.8740 0.000 1.000 0.000
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 2 0.6913 0.5474 0.248 0.696 0.056
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 3 0.2796 0.8377 0.092 0.000 0.908
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 1 0.7804 0.7612 0.664 0.120 0.216
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 1 0.8050 0.3527 0.500 0.436 0.064
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 3 0.3965 0.8456 0.132 0.008 0.860
#> 116F3F29-AB89-4F00-9003-559041E285EB 3 0.5403 0.8110 0.060 0.124 0.816
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.3933 0.7993 0.028 0.880 0.092
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 3 0.3826 0.8476 0.124 0.008 0.868
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 2 0.0000 0.8740 0.000 1.000 0.000
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 2 0.2443 0.8515 0.028 0.940 0.032
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 3 0.6699 0.7274 0.164 0.092 0.744
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 2 0.3682 0.7885 0.008 0.876 0.116
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 3 0.1989 0.8597 0.048 0.004 0.948
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.5060 0.9166 0.836 0.100 0.064
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 3 0.0237 0.8591 0.004 0.000 0.996
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.0237 0.8732 0.004 0.996 0.000
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 3 0.2537 0.8526 0.080 0.000 0.920
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 3 0.1289 0.8595 0.032 0.000 0.968
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 2 0.0237 0.8737 0.004 0.996 0.000
#> CD576099-5450-4232-9B59-08341BED8FFA 2 0.0000 0.8740 0.000 1.000 0.000
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 2 0.2878 0.8149 0.000 0.904 0.096
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 1 0.5212 0.9107 0.828 0.108 0.064
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 1 0.5874 0.8790 0.796 0.088 0.116
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 2 0.0000 0.8740 0.000 1.000 0.000
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 2 0.3370 0.8240 0.024 0.904 0.072
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 3 0.4178 0.8157 0.172 0.000 0.828
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 1 0.5804 0.8828 0.800 0.088 0.112
#> 57E380FC-B6AB-466F-9936-D52192888008 2 0.7980 0.2050 0.356 0.572 0.072
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 2 0.0000 0.8740 0.000 1.000 0.000
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 1 0.4982 0.9169 0.840 0.096 0.064
#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 2 0.7129 0.2632 0.028 0.580 0.392
#> 1D4F0B66-720D-484D-B8D5-2B290ED208A8 3 0.4178 0.8197 0.172 0.000 0.828
#> C886CA33-5080-4E3E-88A2-F9A3CF03A857 3 0.2625 0.8488 0.084 0.000 0.916
#> 9AC963E4-F82D-460E-9CAD-C651B879780A 2 0.0000 0.8740 0.000 1.000 0.000
#> 1B6CF403-D0AE-4FFE-A884-660A58F32660 3 0.5119 0.7909 0.032 0.152 0.816
#> B33316E1-11FD-4C10-956A-C9C6F78508C5 3 0.5961 0.7815 0.112 0.096 0.792
#> BB02EF6A-C57D-4A79-99C1-ED43A72FFAF7 2 0.0000 0.8740 0.000 1.000 0.000
#> 4DBA59AD-9393-4BE6-88CB-852C62C4A334 3 0.0892 0.8608 0.020 0.000 0.980
#> 7887EDC4-A0D7-4E57-B3A1-330A5683457D 1 0.8198 0.6377 0.596 0.304 0.100
#> 2CD3AC14-46FB-4260-AE5C-4305C68D49BC 2 0.0000 0.8740 0.000 1.000 0.000
#> BAB8FA79-208A-488D-B955-806263E5D6BB 2 0.0000 0.8740 0.000 1.000 0.000
#> 98C990E7-7E3B-4200-A88D-E641931302EA 1 0.5212 0.9107 0.828 0.108 0.064
#> 894EE382-5ACA-4DEB-9267-99ADBEF6DA19 2 0.0892 0.8695 0.000 0.980 0.020
#> 98795F95-D26D-438A-AF46-B3BC3553F020 3 0.3267 0.8297 0.116 0.000 0.884
#> 9AD4C328-1554-4C92-931C-30CE8F305FDE 3 0.8322 0.4855 0.268 0.124 0.608
#> 4D1518D9-D968-4E7F-A702-5157A1A2E83E 1 0.4821 0.9172 0.848 0.088 0.064
#> A6E8AF8C-5D7B-4197-990B-786A869ACB96 1 0.4821 0.9172 0.848 0.088 0.064
#> DF8B4E19-8C78-4A68-8FAE-DFF01076BC97 3 0.1267 0.8606 0.024 0.004 0.972
#> 8D2C608F-3280-4CA2-B996-9AE3DBDBBD28 3 0.1129 0.8608 0.020 0.004 0.976
#> E7BCBD8D-1219-4A99-948A-47A258A5CD8B 2 0.6783 0.6508 0.116 0.744 0.140
#> 2C9633A5-8ACB-4D16-8120-F098BA14BB04 2 0.1964 0.8427 0.056 0.944 0.000
#> 985D9304-E4DA-4038-B235-067CBFEAC902 2 0.0000 0.8740 0.000 1.000 0.000
#> D34CE243-6F4F-4158-9FC4-77E1640E8A91 2 0.0000 0.8740 0.000 1.000 0.000
#> 65131575-48D3-42C2-B411-3DB871EF5EE1 2 0.0592 0.8727 0.000 0.988 0.012
#> 1AE13DFA-670C-43EE-9898-8FA831AEDDB3 3 0.1399 0.8626 0.028 0.004 0.968
#> 3ACDCD29-1B8D-455D-9EE9-D6C903B16D09 1 0.4982 0.9169 0.840 0.096 0.064
#> C6FBC35B-0113-4F00-BE1A-831D2C551055 3 0.8515 -0.0221 0.432 0.092 0.476
#> A8F3285D-A85E-4E73-9D20-9D14AA51916B 3 0.0424 0.8596 0.008 0.000 0.992
#> 51601A73-2D75-4056-AEBB-8FF8DB813450 3 0.3941 0.8125 0.156 0.000 0.844
#> 75021778-A96B-4F57-8C26-68E8F33D7EB7 2 0.1999 0.8562 0.012 0.952 0.036
#> 71FFB439-22A1-4EBB-AEA6-A6BCA8CA6648 3 0.0747 0.8602 0.016 0.000 0.984
#> BEDB0135-0A26-44EF-9028-C4907403B110 3 0.1411 0.8591 0.036 0.000 0.964
#> 3B8BA56B-0E7B-4754-8729-8D613D0484E1 1 0.4821 0.9172 0.848 0.088 0.064
#> 100BF963-6103-45E6-A760-E44649580CF5 2 0.3995 0.7833 0.116 0.868 0.016
#> C26F21EA-5911-483F-BF64-03904BF93A20 2 0.1031 0.8676 0.000 0.976 0.024
#> 9E50162D-8149-41D2-86C1-1C892EB98DFA 2 0.0237 0.8741 0.000 0.996 0.004
#> 09521B29-B002-4AAD-93F1-6E600DD31515 2 0.0424 0.8736 0.000 0.992 0.008
#> 45FD44A6-7976-4453-BD3F-99D21DA3ECC2 3 0.1411 0.8600 0.036 0.000 0.964
#> 9EE0976F-1422-4F65-8837-93A192984CDF 3 0.2625 0.8488 0.084 0.000 0.916
#> 2FBAA1AA-39F7-4C58-A7DA-76B1F4B26B2E 2 0.6984 0.4520 0.304 0.656 0.040
#> B7A695A4-0B74-41E9-8662-4010C8CA38F0 1 0.4914 0.9160 0.844 0.088 0.068
#> E9013476-D037-41EA-921E-E9E62E93B75C 3 0.7860 0.5153 0.284 0.088 0.628
#> 13FD88E9-3B06-4CB6-949F-395DDDE4B75B 2 0.0592 0.8724 0.000 0.988 0.012
#> 9103E60E-D1FC-4F0F-B2CD-751921E14EBA 3 0.2448 0.8580 0.076 0.000 0.924
#> 4AEFB9F1-A55D-472E-A963-5BB3364D9D8C 2 0.0000 0.8740 0.000 1.000 0.000
#> 05B80211-2230-436E-BA34-FD48337A5DE0 2 0.7809 0.1978 0.056 0.548 0.396
#> 6B206166-85BC-4A1A-BDD2-B249652FC09E 1 0.5153 0.9171 0.832 0.100 0.068
#> 3EA60F08-5232-4A97-A656-2A0A2F5CED07 3 0.2356 0.8529 0.072 0.000 0.928
#> 9C55C086-682B-4D21-9C77-085CFE45A07E 3 0.8924 0.3742 0.140 0.336 0.524
#> B0CE5521-96E9-4087-89EE-309D785C0F96 3 0.1525 0.8612 0.032 0.004 0.964
#> 6BF76FE6-F1DA-48F2-B55D-CB106905EA8F 3 0.1399 0.8607 0.028 0.004 0.968
#> D2ECDADA-9D0D-4044-8C61-353CCE45C0E6 2 0.6044 0.6657 0.056 0.772 0.172
#> 9565D04D-EC61-4EF8-8519-0D84CFB0C794 2 0.6108 0.5978 0.240 0.732 0.028
#> EBAFE057-B387-4D2B-8D91-25C83221816D 2 0.0000 0.8740 0.000 1.000 0.000
#> 2CDB897D-ABAF-4EBB-837C-05CC7691D20E 1 0.6567 0.8338 0.752 0.088 0.160
#> FD2F4E8A-F89C-4016-B275-13FC6B4121E9 2 0.2384 0.8424 0.008 0.936 0.056
#> 1E27DDFF-D487-4CBF-80BC-506CC7C7C74D 2 0.1031 0.8669 0.024 0.976 0.000
#> 1DD990EF-74A8-4503-B801-C01D6C171E2E 3 0.3888 0.8415 0.048 0.064 0.888
#> 4D2DF3FF-343A-4D29-9230-015131B45BD2 2 0.0000 0.8740 0.000 1.000 0.000
#> B9949248-D762-4591-B8D6-C296C2B28D8C 3 0.3412 0.8461 0.124 0.000 0.876
#> 2D839843-4C8D-400D-8EFF-2BF9B94A27AA 3 0.5677 0.7772 0.048 0.160 0.792
#> 78C429CC-D631-43EA-9049-DAC326C98BDD 2 0.6491 0.6011 0.052 0.732 0.216
#> 71241674-DF93-4CA0-A81D-AF85B6479F62 2 0.2434 0.8503 0.024 0.940 0.036
#> 76277FC9-E447-49A4-9407-81917C90ECBD 2 0.6698 0.4679 0.280 0.684 0.036
#> 79DE0216-2CBB-4057-AC90-0366A494F106 1 0.4982 0.9175 0.840 0.096 0.064
#> 3B842084-AE30-4666-B80A-8FA36EF628F3 3 0.8773 0.3786 0.128 0.336 0.536
#> 57200367-96F1-48B9-AB7F-DC11EFE866C4 3 0.5346 0.7865 0.040 0.152 0.808
#> 219B7654-6065-41D3-964B-C829364CD87B 3 0.4002 0.8134 0.160 0.000 0.840
#> 26923D9B-CE8E-400E-93CD-E0EE1401CB9D 2 0.0000 0.8740 0.000 1.000 0.000
#> 21B783EB-B0D0-4B28-9468-D0B130D13E26 3 0.4558 0.8220 0.044 0.100 0.856
#> 67D465A4-8068-4325-ABC5-5917B7D726BB 2 0.0475 0.8737 0.004 0.992 0.004
#> 30A8ABA0-ECB4-4B44-9630-5FFF862A157F 2 0.3406 0.8225 0.028 0.904 0.068
#> 71040F61-834D-4A75-960D-5DABBCADD3A0 3 0.8445 -0.0290 0.424 0.088 0.488
#> A4EC5E62-AF75-435A-903F-D35B171CEA2C 2 0.0000 0.8740 0.000 1.000 0.000
#> 2F6A0808-8F01-4721-938D-F1FC7C5D8357 3 0.1411 0.8591 0.036 0.000 0.964
#> F1A142BF-9737-442D-B9A1-AA03958916D8 3 0.0892 0.8603 0.020 0.000 0.980
#> 2DC1CF96-6822-412A-B002-3DC1239D17A7 3 0.4235 0.8165 0.176 0.000 0.824
#> 9C57AC2A-83C8-41EB-8DC3-9A897D8F8110 2 0.2434 0.8511 0.024 0.940 0.036
#> D22198BE-2B03-4A06-9EB6-696B67E8CEFB 3 0.0892 0.8603 0.020 0.000 0.980
#> 68BACBAD-DC56-4ADF-BB44-86750A866657 1 0.4821 0.9172 0.848 0.088 0.064
#> 7DFBA494-6746-4FF7-9948-FC9BA297F499 2 0.2663 0.8456 0.024 0.932 0.044
#> 00B39945-A227-46EB-B737-27D12370FE6A 2 0.6158 0.6494 0.052 0.760 0.188
#> 6FA15950-94D4-4D46-A0E5-45D899089443 3 0.4558 0.8255 0.044 0.100 0.856
#> DE451B99-D33B-4A35-BB0E-AAED631B56C3 3 0.2959 0.8553 0.100 0.000 0.900
#> 1DE68F26-5F22-4B90-A0F4-4775865D5E35 1 0.7816 0.6938 0.628 0.288 0.084
#> 7E84698B-0394-4498-A8D4-F3F96F49E669 2 0.0237 0.8732 0.004 0.996 0.000
#> D29F2335-9151-406E-8C3A-58AA99B7EB69 3 0.1163 0.8600 0.028 0.000 0.972
#> 92CEB4B5-0400-45DD-9DEE-E988CB4BB76D 3 0.2878 0.8470 0.096 0.000 0.904
#> 1848D6A6-9725-46BA-A953-CE76F6CC7684 3 0.7533 0.5223 0.052 0.348 0.600
#> F0B60FEF-0246-412D-8E1D-50E4A5F7790A 3 0.7514 0.5571 0.056 0.328 0.616
#> 763F284D-B99A-4646-A84C-5EFB15C07376 3 0.1289 0.8595 0.032 0.000 0.968
#> 994BE7F6-D486-4E45-9C4F-7AA200B04AED 3 0.7334 0.5646 0.048 0.328 0.624
#> 54C0AB23-0161-4346-AF6D-466B68B5AB79 1 0.5060 0.9166 0.836 0.100 0.064
#> 7A48C8F9-C13C-42AA-B7D2-C7618C6F81AA 2 0.0000 0.8740 0.000 1.000 0.000
#> 54C21CDF-5B83-4F88-8B00-6458A171BCE8 3 0.9411 0.1733 0.176 0.380 0.444
#> 063AEE90-0DBB-4B0F-A7F3-DE0600DEA9AD 2 0.7363 0.4774 0.280 0.656 0.064
#> 54B452B4-B06A-433F-A627-B2D2AFE048FE 2 0.7571 0.2886 0.356 0.592 0.052
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#> B28A6D56-7654-4829-BF1F-657C3C2C10D8 3 0.1411 0.8591 0.036 0.000 0.964
#> F4C7BCEC-3CD4-4D9A-89EA-0ED58EA0DCFE 1 0.5060 0.9166 0.836 0.100 0.064
#> F06FBFAB-D143-47AE-BEE7-51B48164764F 3 0.1289 0.8595 0.032 0.000 0.968
#> 525F522B-E865-4479-AE65-510903ABF46F 3 0.1878 0.8608 0.044 0.004 0.952
#> F0CB60E3-C412-46A2-918F-8C5C099AB224 1 0.7867 0.5500 0.584 0.348 0.068
#> 587F307F-6E1B-487E-8E47-A99AB43DC5B4 3 0.3816 0.8194 0.148 0.000 0.852
#> 883D9145-8414-4571-A3E1-516F03452C46 3 0.1411 0.8591 0.036 0.000 0.964
#> 4A917271-7EA0-4F43-B474-7F5EA756EB05 1 0.5060 0.9166 0.836 0.100 0.064
#> BB33015D-218C-4A1E-8839-95837D6E9B88 1 0.7983 0.7275 0.636 0.256 0.108
#> 021CC81F-710D-4EEA-B1D8-012A81715ACC 1 0.4902 0.9176 0.844 0.092 0.064
#> B00C4925-47E3-4442-ABEB-82D714A26587 3 0.5757 0.7788 0.056 0.152 0.792
#> F79B27D3-0426-47BB-9756-7E0759246E5E 3 0.5582 0.8269 0.100 0.088 0.812
#> 1F179559-D93E-491C-B499-64F86C31DAE0 3 0.1643 0.8593 0.044 0.000 0.956
#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 3 0.1411 0.8591 0.036 0.000 0.964
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 3 0.1289 0.8595 0.032 0.000 0.968
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 3 0.1411 0.8600 0.036 0.000 0.964
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 3 0.4087 0.8390 0.052 0.068 0.880
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 1 0.4902 0.9176 0.844 0.092 0.064
#> ED9794C0-AC60-4B54-8214-D26714871BBF 1 0.7059 0.7979 0.716 0.092 0.192
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 2 0.0000 0.8740 0.000 1.000 0.000
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 2 0.0000 0.8740 0.000 1.000 0.000
#> 18D816AF-394A-482F-B22E-896A43B1E481 2 0.0000 0.8740 0.000 1.000 0.000
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 1 0.5212 0.9121 0.828 0.108 0.064
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 3 0.2261 0.8535 0.068 0.000 0.932
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 2 0.0000 0.8740 0.000 1.000 0.000
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 3 0.2796 0.8592 0.092 0.000 0.908
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 2 0.1620 0.8635 0.012 0.964 0.024
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 2 0.6337 0.5541 0.028 0.708 0.264
#> 7E809698-2473-4EFE-B896-1637983EC596 2 0.0000 0.8740 0.000 1.000 0.000
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 3 0.2537 0.8504 0.080 0.000 0.920
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 3 0.0237 0.8590 0.004 0.000 0.996
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 3 0.5894 0.7336 0.028 0.220 0.752
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.4995 0.9170 0.840 0.092 0.068
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.5954 0.8804 0.792 0.092 0.116
#> 73F28A79-7D35-4FE9-849D-FFE681483928 1 0.5212 0.9107 0.828 0.108 0.064
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 3 0.6470 0.7290 0.148 0.092 0.760
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 3 0.3038 0.8380 0.104 0.000 0.896
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 3 0.1289 0.8595 0.032 0.000 0.968
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 3 0.4371 0.8234 0.032 0.108 0.860
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.4982 0.9169 0.840 0.096 0.064
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 2 0.9576 -0.2860 0.396 0.408 0.196
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 1 0.7739 0.6732 0.644 0.088 0.268
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 3 0.1289 0.8595 0.032 0.000 0.968
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.4062 0.8144 0.164 0.000 0.836
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.4982 0.9169 0.840 0.096 0.064
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.0747 0.8712 0.000 0.984 0.016
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 2 0.0237 0.8741 0.000 0.996 0.004
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 3 0.4489 0.8242 0.036 0.108 0.856
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 3 0.5060 0.7898 0.028 0.156 0.816
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 2 0.3038 0.8009 0.104 0.896 0.000
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 3 0.6449 0.7307 0.056 0.204 0.740
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 2 0.3310 0.8281 0.064 0.908 0.028
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.5060 0.9166 0.836 0.100 0.064
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.2625 0.8488 0.084 0.000 0.916
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 3 0.1289 0.8595 0.032 0.000 0.968
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.5137 0.9138 0.832 0.104 0.064
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 3 0.4902 0.8146 0.092 0.064 0.844
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.0000 0.8740 0.000 1.000 0.000
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 3 0.3039 0.8558 0.044 0.036 0.920
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.4821 0.9172 0.848 0.088 0.064
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 3 0.5760 0.7860 0.064 0.140 0.796
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.4821 0.9172 0.848 0.088 0.064
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 2 0.6168 0.6074 0.036 0.740 0.224
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 2 0.0000 0.8740 0.000 1.000 0.000
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 2 0.0829 0.8712 0.004 0.984 0.012
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 2 0.0000 0.8740 0.000 1.000 0.000
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 3 0.4235 0.8165 0.176 0.000 0.824
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 3 0.4937 0.7929 0.028 0.148 0.824
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 3 0.1289 0.8595 0.032 0.000 0.968
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 3 0.1289 0.8595 0.032 0.000 0.968
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 3 0.5343 0.7980 0.052 0.132 0.816
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 3 0.2496 0.8618 0.068 0.004 0.928
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.0000 0.8740 0.000 1.000 0.000
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 3 0.4371 0.8258 0.032 0.108 0.860
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.3412 0.8461 0.124 0.000 0.876
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.4982 0.7581 0.064 0.840 0.096
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 2 0.0237 0.8735 0.004 0.996 0.000
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 2 0.0000 0.8740 0.000 1.000 0.000
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.2625 0.8488 0.084 0.000 0.916
#> CA356591-D24F-41A8-8C9A-1178C7781510 3 0.6026 0.7082 0.024 0.244 0.732
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.0892 0.8603 0.020 0.000 0.980
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.4821 0.9172 0.848 0.088 0.064
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 2 0.0336 0.8794 0.000 0.992 0.008 0.000
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.2081 0.8645 0.000 0.000 0.916 0.084
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 2 0.4587 0.8383 0.084 0.828 0.056 0.032
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.0376 0.8807 0.000 0.992 0.004 0.004
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 2 0.5204 0.8157 0.024 0.788 0.088 0.100
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 1 0.5275 0.7483 0.768 0.160 0.024 0.048
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 2 0.3509 0.8558 0.012 0.872 0.028 0.088
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 2 0.0188 0.8788 0.000 0.996 0.004 0.000
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.0188 0.8788 0.000 0.996 0.004 0.000
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.4889 0.8083 0.016 0.788 0.044 0.152
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.0336 0.8794 0.000 0.992 0.008 0.000
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 4 0.2589 0.8345 0.000 0.000 0.116 0.884
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 3 0.2149 0.8650 0.000 0.000 0.912 0.088
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.0469 0.8792 0.000 0.988 0.012 0.000
#> ECB2DF14-CF68-44D4-8719-973AE448B992 2 0.4739 0.8056 0.008 0.788 0.044 0.160
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 2 0.4422 0.8360 0.016 0.824 0.044 0.116
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 3 0.3172 0.8616 0.000 0.000 0.840 0.160
#> 3282F146-2782-4877-9EFE-6020AC277A8C 2 0.0336 0.8794 0.000 0.992 0.008 0.000
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 2 0.0707 0.8800 0.000 0.980 0.020 0.000
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 2 0.4968 0.8114 0.040 0.788 0.024 0.148
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.4185 0.8483 0.024 0.848 0.072 0.056
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 2 0.4097 0.8415 0.016 0.840 0.032 0.112
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.0657 0.8808 0.000 0.984 0.012 0.004
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 4 0.0000 0.8708 0.000 0.000 0.000 1.000
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 4 0.1004 0.8613 0.000 0.024 0.004 0.972
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 2 0.4617 0.8030 0.016 0.792 0.024 0.168
#> C945DDA9-0194-46F4-89E2-13883284D5A4 4 0.4359 0.6815 0.016 0.164 0.016 0.804
#> 79B11925-9772-474F-A729-D00315959710 1 0.0817 0.8739 0.976 0.024 0.000 0.000
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 2 0.0336 0.8790 0.000 0.992 0.008 0.000
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 4 0.0188 0.8713 0.000 0.000 0.004 0.996
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 2 0.7159 0.4619 0.296 0.592 0.064 0.048
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.0592 0.8723 0.984 0.016 0.000 0.000
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.0000 0.8791 0.000 1.000 0.000 0.000
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 4 0.0000 0.8708 0.000 0.000 0.000 1.000
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.4222 0.7680 0.000 0.000 0.728 0.272
#> 26796E5F-C0C2-466C-9012-882F6D29C149 2 0.2742 0.8724 0.008 0.912 0.040 0.040
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 0.5529 0.6552 0.716 0.032 0.020 0.232
#> 1492D21A-6458-4B49-B530-7A327FCDD031 1 0.5823 0.5496 0.676 0.272 0.020 0.032
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 2 0.3942 0.7246 0.236 0.764 0.000 0.000
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 2 0.0188 0.8788 0.000 0.996 0.004 0.000
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.0592 0.8723 0.984 0.016 0.000 0.000
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 4 0.1762 0.8455 0.016 0.012 0.020 0.952
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.0188 0.8788 0.000 0.996 0.004 0.000
#> E846120D-D9E6-46F8-9647-2272AB064072 3 0.2345 0.8671 0.000 0.000 0.900 0.100
#> 36880C8C-91A9-49A9-A2D5-957161737F31 2 0.0844 0.8799 0.012 0.980 0.004 0.004
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.1004 0.8760 0.024 0.972 0.004 0.000
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 2 0.3311 0.7910 0.172 0.828 0.000 0.000
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 4 0.0188 0.8685 0.004 0.000 0.000 0.996
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 2 0.6697 0.3737 0.364 0.564 0.044 0.028
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 2 0.2654 0.8489 0.108 0.888 0.000 0.004
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 3 0.4354 0.7832 0.004 0.088 0.824 0.084
#> 116F3F29-AB89-4F00-9003-559041E285EB 2 0.4599 0.8184 0.000 0.800 0.112 0.088
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.2990 0.8694 0.016 0.904 0.036 0.044
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 3 0.3450 0.8363 0.004 0.040 0.872 0.084
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 2 0.0188 0.8788 0.000 0.996 0.004 0.000
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 2 0.0707 0.8800 0.000 0.980 0.020 0.000
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 2 0.7911 0.4209 0.268 0.520 0.024 0.188
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 2 0.2500 0.8749 0.000 0.916 0.040 0.044
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 4 0.1585 0.8694 0.004 0.004 0.040 0.952
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.0592 0.8723 0.984 0.016 0.000 0.000
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 4 0.3074 0.8020 0.000 0.000 0.152 0.848
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.1004 0.8760 0.024 0.972 0.004 0.000
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 3 0.4072 0.8064 0.000 0.000 0.748 0.252
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 4 0.0000 0.8708 0.000 0.000 0.000 1.000
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 2 0.0336 0.8806 0.000 0.992 0.000 0.008
#> CD576099-5450-4232-9B59-08341BED8FFA 2 0.0469 0.8792 0.000 0.988 0.012 0.000
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 2 0.1629 0.8813 0.000 0.952 0.024 0.024
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 1 0.1716 0.8658 0.936 0.064 0.000 0.000
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 1 0.3080 0.8478 0.900 0.052 0.020 0.028
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 2 0.0336 0.8794 0.000 0.992 0.008 0.000
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 2 0.3591 0.8582 0.016 0.872 0.032 0.080
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 3 0.1389 0.8503 0.000 0.000 0.952 0.048
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 1 0.3495 0.7953 0.868 0.012 0.020 0.100
#> 57E380FC-B6AB-466F-9936-D52192888008 2 0.3538 0.8527 0.084 0.868 0.004 0.044
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 2 0.0188 0.8792 0.000 0.996 0.004 0.000
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 1 0.0592 0.8723 0.984 0.016 0.000 0.000
#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 2 0.3245 0.8597 0.008 0.884 0.028 0.080
#> 1D4F0B66-720D-484D-B8D5-2B290ED208A8 3 0.2081 0.8639 0.000 0.000 0.916 0.084
#> C886CA33-5080-4E3E-88A2-F9A3CF03A857 3 0.3311 0.8502 0.000 0.000 0.828 0.172
#> 9AC963E4-F82D-460E-9CAD-C651B879780A 2 0.0188 0.8788 0.000 0.996 0.004 0.000
#> 1B6CF403-D0AE-4FFE-A884-660A58F32660 2 0.6925 0.4265 0.016 0.560 0.344 0.080
#> B33316E1-11FD-4C10-956A-C9C6F78508C5 2 0.7510 0.5668 0.180 0.584 0.024 0.212
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#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.0927 0.8701 0.976 0.008 0.016 0.000
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 2 0.2170 0.8764 0.016 0.936 0.036 0.012
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 2 0.0469 0.8792 0.000 0.988 0.012 0.000
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 2 0.0336 0.8794 0.000 0.992 0.008 0.000
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 2 0.0336 0.8790 0.000 0.992 0.008 0.000
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 3 0.1389 0.8503 0.000 0.000 0.952 0.048
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 2 0.5951 0.7478 0.016 0.720 0.092 0.172
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 4 0.0000 0.8708 0.000 0.000 0.000 1.000
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 4 0.0336 0.8702 0.000 0.000 0.008 0.992
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 2 0.4831 0.7856 0.016 0.772 0.024 0.188
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 4 0.4746 0.4658 0.000 0.000 0.368 0.632
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.0336 0.8794 0.000 0.992 0.008 0.000
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 2 0.5198 0.7821 0.016 0.756 0.040 0.188
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.2589 0.8617 0.000 0.000 0.884 0.116
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.2246 0.8750 0.016 0.928 0.004 0.052
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 2 0.0469 0.8802 0.000 0.988 0.012 0.000
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 2 0.0469 0.8792 0.000 0.988 0.012 0.000
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.3907 0.8166 0.000 0.000 0.768 0.232
#> CA356591-D24F-41A8-8C9A-1178C7781510 2 0.4939 0.7901 0.016 0.772 0.032 0.180
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 4 0.2647 0.8333 0.000 0.000 0.120 0.880
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.0592 0.8723 0.984 0.016 0.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 2 0.0162 0.8726 0.000 0.996 0.000 0.000 0.004
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 4 0.0404 0.8411 0.000 0.000 0.012 0.988 0.000
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 2 0.2708 0.8552 0.072 0.892 0.000 0.016 0.020
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.1331 0.8698 0.000 0.952 0.008 0.000 0.040
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 2 0.4269 0.8161 0.056 0.804 0.004 0.020 0.116
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 1 0.3559 0.7178 0.800 0.184 0.004 0.004 0.008
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 2 0.3044 0.8185 0.004 0.840 0.000 0.008 0.148
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 2 0.0579 0.8726 0.008 0.984 0.000 0.000 0.008
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.0162 0.8721 0.000 0.996 0.000 0.000 0.004
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.4054 0.7539 0.000 0.732 0.020 0.000 0.248
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.1341 0.8720 0.000 0.944 0.000 0.000 0.056
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.0898 0.7478 0.000 0.000 0.972 0.008 0.020
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 4 0.0290 0.8403 0.000 0.000 0.008 0.992 0.000
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.0955 0.8724 0.004 0.968 0.000 0.000 0.028
#> ECB2DF14-CF68-44D4-8719-973AE448B992 2 0.3781 0.8405 0.040 0.852 0.012 0.056 0.040
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 2 0.4229 0.7250 0.000 0.704 0.020 0.000 0.276
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 4 0.3143 0.7501 0.000 0.000 0.204 0.796 0.000
#> 3282F146-2782-4877-9EFE-6020AC277A8C 2 0.0609 0.8720 0.000 0.980 0.000 0.000 0.020
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 2 0.0703 0.8740 0.000 0.976 0.000 0.000 0.024
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 2 0.4337 0.7844 0.032 0.776 0.016 0.004 0.172
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.2151 0.8643 0.040 0.924 0.000 0.016 0.020
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 2 0.4491 0.7270 0.008 0.708 0.024 0.000 0.260
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.1205 0.8700 0.000 0.956 0.004 0.000 0.040
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 5 0.4088 0.6758 0.000 0.000 0.368 0.000 0.632
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 5 0.5490 0.5607 0.000 0.084 0.324 0.000 0.592
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 2 0.4181 0.7457 0.004 0.732 0.020 0.000 0.244
#> C945DDA9-0194-46F4-89E2-13883284D5A4 2 0.6336 0.2819 0.000 0.488 0.172 0.000 0.340
#> 79B11925-9772-474F-A729-D00315959710 1 0.1478 0.8511 0.936 0.064 0.000 0.000 0.000
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 2 0.1356 0.8701 0.012 0.956 0.000 0.004 0.028
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 5 0.4101 0.6718 0.000 0.000 0.372 0.000 0.628
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 2 0.4241 0.6434 0.264 0.716 0.000 0.012 0.008
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.1341 0.8511 0.944 0.056 0.000 0.000 0.000
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.0609 0.8730 0.000 0.980 0.000 0.000 0.020
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 5 0.4101 0.6723 0.000 0.000 0.372 0.000 0.628
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.3177 0.6907 0.000 0.000 0.792 0.208 0.000
#> 26796E5F-C0C2-466C-9012-882F6D29C149 2 0.2266 0.8676 0.008 0.912 0.000 0.016 0.064
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 5 0.5568 0.4434 0.220 0.004 0.056 0.036 0.684
#> 1492D21A-6458-4B49-B530-7A327FCDD031 1 0.5913 0.5010 0.608 0.236 0.004 0.000 0.152
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 2 0.2727 0.8367 0.116 0.868 0.000 0.000 0.016
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 2 0.0771 0.8714 0.000 0.976 0.000 0.004 0.020
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.1557 0.8507 0.940 0.052 0.000 0.000 0.008
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 5 0.4136 0.5797 0.000 0.048 0.188 0.000 0.764
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.1195 0.8708 0.028 0.960 0.000 0.000 0.012
#> E846120D-D9E6-46F8-9647-2272AB064072 4 0.0404 0.8413 0.000 0.000 0.012 0.988 0.000
#> 36880C8C-91A9-49A9-A2D5-957161737F31 2 0.1630 0.8666 0.036 0.944 0.000 0.004 0.016
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.2141 0.8606 0.064 0.916 0.000 0.004 0.016
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 2 0.1991 0.8612 0.076 0.916 0.004 0.000 0.004
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 5 0.4060 0.6834 0.000 0.000 0.360 0.000 0.640
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 2 0.4564 0.6096 0.272 0.696 0.000 0.008 0.024
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 2 0.2141 0.8615 0.064 0.916 0.000 0.004 0.016
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 4 0.0740 0.8297 0.008 0.008 0.000 0.980 0.004
#> 116F3F29-AB89-4F00-9003-559041E285EB 2 0.2708 0.8534 0.020 0.892 0.000 0.072 0.016
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.3659 0.7797 0.000 0.768 0.012 0.000 0.220
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 4 0.1471 0.8198 0.024 0.020 0.000 0.952 0.004
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 2 0.0000 0.8721 0.000 1.000 0.000 0.000 0.000
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 2 0.0290 0.8730 0.000 0.992 0.000 0.000 0.008
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 2 0.7382 0.0217 0.236 0.372 0.024 0.004 0.364
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 2 0.2723 0.8405 0.000 0.864 0.012 0.000 0.124
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 3 0.2660 0.6599 0.000 0.000 0.864 0.008 0.128
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.1410 0.8509 0.940 0.060 0.000 0.000 0.000
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 3 0.1331 0.7646 0.000 0.000 0.952 0.040 0.008
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.1788 0.8653 0.056 0.932 0.000 0.004 0.008
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 4 0.3395 0.7210 0.000 0.000 0.236 0.764 0.000
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 5 0.4060 0.6834 0.000 0.000 0.360 0.000 0.640
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 2 0.0671 0.8723 0.004 0.980 0.000 0.000 0.016
#> CD576099-5450-4232-9B59-08341BED8FFA 2 0.0703 0.8723 0.000 0.976 0.000 0.000 0.024
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 2 0.1281 0.8713 0.000 0.956 0.012 0.000 0.032
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 1 0.1965 0.8404 0.904 0.096 0.000 0.000 0.000
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 1 0.1989 0.8293 0.932 0.032 0.004 0.004 0.028
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 2 0.0703 0.8723 0.000 0.976 0.000 0.000 0.024
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 2 0.3583 0.7894 0.004 0.792 0.012 0.000 0.192
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 4 0.0290 0.8401 0.000 0.000 0.008 0.992 0.000
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 1 0.3685 0.7429 0.816 0.016 0.020 0.000 0.148
#> 57E380FC-B6AB-466F-9936-D52192888008 2 0.1059 0.8753 0.020 0.968 0.004 0.000 0.008
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 2 0.0510 0.8714 0.000 0.984 0.000 0.000 0.016
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 1 0.1697 0.8513 0.932 0.060 0.000 0.000 0.008
#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 2 0.1815 0.8717 0.024 0.940 0.000 0.016 0.020
#> 1D4F0B66-720D-484D-B8D5-2B290ED208A8 4 0.0290 0.8401 0.000 0.000 0.008 0.992 0.000
#> C886CA33-5080-4E3E-88A2-F9A3CF03A857 4 0.3177 0.7475 0.000 0.000 0.208 0.792 0.000
#> 9AC963E4-F82D-460E-9CAD-C651B879780A 2 0.0609 0.8730 0.000 0.980 0.000 0.000 0.020
#> 1B6CF403-D0AE-4FFE-A884-660A58F32660 4 0.5383 0.5589 0.116 0.180 0.000 0.692 0.012
#> B33316E1-11FD-4C10-956A-C9C6F78508C5 2 0.6760 0.0955 0.116 0.428 0.024 0.004 0.428
#> BB02EF6A-C57D-4A79-99C1-ED43A72FFAF7 2 0.0671 0.8730 0.000 0.980 0.004 0.000 0.016
#> 4DBA59AD-9393-4BE6-88CB-852C62C4A334 3 0.2136 0.7613 0.000 0.000 0.904 0.088 0.008
#> 7887EDC4-A0D7-4E57-B3A1-330A5683457D 2 0.5008 0.7197 0.140 0.708 0.000 0.000 0.152
#> 2CD3AC14-46FB-4260-AE5C-4305C68D49BC 2 0.1934 0.8639 0.052 0.928 0.000 0.004 0.016
#> BAB8FA79-208A-488D-B955-806263E5D6BB 2 0.1168 0.8723 0.008 0.960 0.000 0.000 0.032
#> 98C990E7-7E3B-4200-A88D-E641931302EA 1 0.2179 0.8385 0.896 0.100 0.000 0.004 0.000
#> 894EE382-5ACA-4DEB-9267-99ADBEF6DA19 2 0.1780 0.8683 0.028 0.940 0.000 0.008 0.024
#> 98795F95-D26D-438A-AF46-B3BC3553F020 4 0.3109 0.7534 0.000 0.000 0.200 0.800 0.000
#> 9AD4C328-1554-4C92-931C-30CE8F305FDE 2 0.6619 0.1897 0.108 0.444 0.028 0.000 0.420
#> 4D1518D9-D968-4E7F-A702-5157A1A2E83E 1 0.1461 0.8335 0.952 0.028 0.004 0.000 0.016
#> A6E8AF8C-5D7B-4197-990B-786A869ACB96 1 0.3078 0.7670 0.848 0.016 0.004 0.000 0.132
#> DF8B4E19-8C78-4A68-8FAE-DFF01076BC97 3 0.0693 0.7537 0.000 0.000 0.980 0.012 0.008
#> 8D2C608F-3280-4CA2-B996-9AE3DBDBBD28 3 0.0290 0.7558 0.000 0.000 0.992 0.008 0.000
#> E7BCBD8D-1219-4A99-948A-47A258A5CD8B 2 0.1862 0.8648 0.048 0.932 0.000 0.004 0.016
#> 2C9633A5-8ACB-4D16-8120-F098BA14BB04 2 0.2144 0.8584 0.068 0.912 0.000 0.000 0.020
#> 985D9304-E4DA-4038-B235-067CBFEAC902 2 0.0290 0.8717 0.000 0.992 0.000 0.000 0.008
#> D34CE243-6F4F-4158-9FC4-77E1640E8A91 2 0.0794 0.8719 0.000 0.972 0.000 0.000 0.028
#> 65131575-48D3-42C2-B411-3DB871EF5EE1 2 0.0960 0.8731 0.016 0.972 0.000 0.004 0.008
#> 1AE13DFA-670C-43EE-9898-8FA831AEDDB3 3 0.1697 0.7657 0.000 0.000 0.932 0.060 0.008
#> 3ACDCD29-1B8D-455D-9EE9-D6C903B16D09 1 0.3006 0.8064 0.836 0.156 0.004 0.000 0.004
#> C6FBC35B-0113-4F00-BE1A-831D2C551055 5 0.6825 0.1839 0.160 0.328 0.024 0.000 0.488
#> A8F3285D-A85E-4E73-9D20-9D14AA51916B 3 0.2127 0.7546 0.000 0.000 0.892 0.108 0.000
#> 51601A73-2D75-4056-AEBB-8FF8DB813450 4 0.1671 0.8301 0.000 0.000 0.076 0.924 0.000
#> 75021778-A96B-4F57-8C26-68E8F33D7EB7 2 0.1965 0.8600 0.000 0.904 0.000 0.000 0.096
#> 71FFB439-22A1-4EBB-AEA6-A6BCA8CA6648 3 0.1800 0.7571 0.000 0.000 0.932 0.048 0.020
#> BEDB0135-0A26-44EF-9028-C4907403B110 3 0.4283 -0.3730 0.000 0.000 0.544 0.000 0.456
#> 3B8BA56B-0E7B-4754-8729-8D613D0484E1 1 0.1924 0.8069 0.924 0.004 0.008 0.000 0.064
#> 100BF963-6103-45E6-A760-E44649580CF5 2 0.1774 0.8639 0.052 0.932 0.000 0.000 0.016
#> C26F21EA-5911-483F-BF64-03904BF93A20 2 0.1121 0.8735 0.000 0.956 0.000 0.000 0.044
#> 9E50162D-8149-41D2-86C1-1C892EB98DFA 2 0.1285 0.8705 0.004 0.956 0.000 0.004 0.036
#> 09521B29-B002-4AAD-93F1-6E600DD31515 2 0.0324 0.8736 0.000 0.992 0.004 0.000 0.004
#> 45FD44A6-7976-4453-BD3F-99D21DA3ECC2 5 0.4675 0.6437 0.000 0.000 0.380 0.020 0.600
#> 9EE0976F-1422-4F65-8837-93A192984CDF 3 0.3561 0.6177 0.000 0.000 0.740 0.260 0.000
#> 2FBAA1AA-39F7-4C58-A7DA-76B1F4B26B2E 2 0.2825 0.8326 0.124 0.860 0.000 0.000 0.016
#> B7A695A4-0B74-41E9-8662-4010C8CA38F0 1 0.6211 0.2355 0.500 0.368 0.000 0.004 0.128
#> E9013476-D037-41EA-921E-E9E62E93B75C 5 0.5501 0.3361 0.292 0.040 0.024 0.004 0.640
#> 13FD88E9-3B06-4CB6-949F-395DDDE4B75B 2 0.0609 0.8724 0.000 0.980 0.000 0.000 0.020
#> 9103E60E-D1FC-4F0F-B2CD-751921E14EBA 4 0.3789 0.7136 0.000 0.000 0.224 0.760 0.016
#> 4AEFB9F1-A55D-472E-A963-5BB3364D9D8C 2 0.0510 0.8714 0.000 0.984 0.000 0.000 0.016
#> 05B80211-2230-436E-BA34-FD48337A5DE0 2 0.4114 0.7482 0.000 0.732 0.024 0.000 0.244
#> 6B206166-85BC-4A1A-BDD2-B249652FC09E 1 0.1991 0.8490 0.916 0.076 0.000 0.004 0.004
#> 3EA60F08-5232-4A97-A656-2A0A2F5CED07 3 0.2852 0.7206 0.000 0.000 0.828 0.172 0.000
#> 9C55C086-682B-4D21-9C77-085CFE45A07E 2 0.4115 0.7703 0.016 0.764 0.016 0.000 0.204
#> B0CE5521-96E9-4087-89EE-309D785C0F96 3 0.0566 0.7588 0.000 0.000 0.984 0.012 0.004
#> 6BF76FE6-F1DA-48F2-B55D-CB106905EA8F 3 0.0404 0.7582 0.000 0.000 0.988 0.012 0.000
#> D2ECDADA-9D0D-4044-8C61-353CCE45C0E6 2 0.4007 0.7674 0.004 0.756 0.020 0.000 0.220
#> 9565D04D-EC61-4EF8-8519-0D84CFB0C794 2 0.2077 0.8566 0.084 0.908 0.000 0.000 0.008
#> EBAFE057-B387-4D2B-8D91-25C83221816D 2 0.0000 0.8721 0.000 1.000 0.000 0.000 0.000
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#> 7C712EF3-7368-4D97-BB9A-717CF8522C7F 4 0.3398 0.7373 0.000 0.000 0.216 0.780 0.004
#> 30312D82-4966-4EAA-A067-F91852FA8663 2 0.1764 0.8658 0.000 0.928 0.008 0.000 0.064
#> ECC62CBA-16AB-45F0-9C5A-72F302B4A188 3 0.4668 0.4358 0.000 0.044 0.684 0.000 0.272
#> 5AF4899F-D8E1-4CB6-B3DC-F0C60C808838 4 0.2956 0.7693 0.000 0.020 0.012 0.872 0.096
#> BBCEA0D1-DE66-4C0C-8D3C-D1398D04B472 2 0.4054 0.7749 0.000 0.748 0.028 0.000 0.224
#> 154764CD-AC69-4F48-A212-8B27C076C91A 4 0.2395 0.7966 0.040 0.036 0.000 0.912 0.012
#> 33266777-E07B-49D0-9E24-2EDE2577CF16 1 0.3477 0.7544 0.824 0.012 0.008 0.004 0.152
#> 7DAE9720-3922-4680-9F95-75C029B7FDA9 3 0.4015 0.4460 0.000 0.000 0.652 0.348 0.000
#> 1BC2ECED-0425-4382-BB94-F57ED2687F18 1 0.3190 0.7629 0.840 0.012 0.008 0.000 0.140
#> 0901D931-77BE-47B0-AE5F-C26C6A144CA0 5 0.4927 0.5303 0.036 0.092 0.112 0.000 0.760
#> 77AFFD5F-F715-4242-95C9-5F36E061B3E2 1 0.3231 0.7583 0.800 0.196 0.000 0.004 0.000
#> FAB4A6D6-E978-4172-9FE1-79FC50C0F849 2 0.2230 0.8431 0.000 0.884 0.000 0.000 0.116
#> 32C4DF54-39DD-4F62-B938-82ED2A0E0FFD 1 0.2338 0.8331 0.884 0.112 0.000 0.000 0.004
#> 9911D83E-6DDF-4048-9A34-22BFA1D68BBD 3 0.3336 0.6620 0.000 0.000 0.772 0.228 0.000
#> 4BAC0A03-BB88-4D19-86F9-FF093330C9B3 2 0.6582 0.2725 0.000 0.496 0.280 0.004 0.220
#> 18F63ADA-1828-43DD-AE1F-F36706C204CD 4 0.0404 0.8411 0.000 0.000 0.012 0.988 0.000
#> 66729295-C0AA-42C7-92C9-05194EF02276 3 0.3353 0.4889 0.000 0.000 0.796 0.008 0.196
#> 4CCA3104-B557-403D-AC06-A6D4936DDC04 4 0.4210 0.3597 0.000 0.000 0.412 0.588 0.000
#> 77D4165E-7CB1-4D69-AFE5-C8D914531651 2 0.4520 0.7063 0.000 0.684 0.032 0.000 0.284
#> BA12A05A-622A-424D-8108-3F5916405EB0 5 0.4060 0.6834 0.000 0.000 0.360 0.000 0.640
#> DED4EA4D-9DC2-4419-83EC-2BFE75DC1830 2 0.2006 0.8621 0.000 0.916 0.012 0.000 0.072
#> 13A35364-57C5-4F5A-B077-3BA2689BFDD3 1 0.2516 0.8062 0.860 0.140 0.000 0.000 0.000
#> 2641B816-1D21-496E-85AD-1C690C9146A6 3 0.3074 0.7056 0.000 0.000 0.804 0.196 0.000
#> 96E2AD09-7287-4B91-840E-81444A61D56F 4 0.0451 0.8379 0.008 0.000 0.004 0.988 0.000
#> 62F3327F-FB16-4AD0-BCF5-B180F28281A9 2 0.1281 0.8705 0.032 0.956 0.000 0.000 0.012
#> 112F7032-0212-4939-9449-D67E3600CCD5 4 0.0290 0.8401 0.000 0.000 0.008 0.992 0.000
#> A3B4DE21-DDF0-4468-A300-7BECBAFD0BCD 1 0.1892 0.8467 0.916 0.080 0.000 0.004 0.000
#> 0A03E593-6931-419C-AE47-51D75185C2C0 2 0.5816 0.6715 0.000 0.668 0.096 0.036 0.200
#> 2416A3DC-A563-4FD1-A139-0E6EF7185211 2 0.0404 0.8724 0.000 0.988 0.000 0.000 0.012
#> 18B29573-822C-405F-B793-DBC8924866CE 2 0.1484 0.8694 0.000 0.944 0.008 0.000 0.048
#> 994EC227-B239-4CEE-AC96-EB5CC0AF583E 2 0.6285 0.4466 0.296 0.552 0.004 0.004 0.144
#> 950933A3-5757-4914-9DC5-C220C2A455FD 3 0.3395 0.6541 0.000 0.000 0.764 0.236 0.000
#> DBDFE95C-F941-407A-BE7D-D43D50143C4D 2 0.6247 0.2581 0.000 0.544 0.228 0.000 0.228
#> D024393C-29D0-41C4-AB86-7E94581FDD26 2 0.0703 0.8729 0.000 0.976 0.000 0.000 0.024
#> 4975AB35-93E5-400D-A429-CEA81BA89FFE 2 0.5013 0.7682 0.092 0.744 0.016 0.004 0.144
#> 666ADCA2-1AE4-4843-B1C8-8EE29C44AE74 1 0.6868 0.3710 0.496 0.200 0.000 0.284 0.020
#> A8F79C08-3943-4707-ADCB-890A955B5394 2 0.1484 0.8675 0.048 0.944 0.000 0.000 0.008
#> A81614ED-14CB-4EBC-988E-F67FBCBF62D8 5 0.5013 0.4303 0.000 0.192 0.108 0.000 0.700
#> E27E65C8-5B57-4C91-9D20-C075AEA2F2C5 1 0.3486 0.7850 0.852 0.016 0.008 0.100 0.024
#> 745F18CA-080D-42FE-BAA6-89AD7E3D3408 2 0.0510 0.8714 0.000 0.984 0.000 0.000 0.016
#> E755A625-799D-4A39-9D56-080228E0B669 2 0.2302 0.8628 0.048 0.916 0.000 0.016 0.020
#> 3D94EFB8-94D4-4FDE-97D8-18A159279996 3 0.1168 0.7361 0.000 0.000 0.960 0.008 0.032
#> 3D305C2E-6C86-4684-AA2A-155291AB4CC3 1 0.0671 0.8262 0.980 0.004 0.000 0.000 0.016
#> E140052A-5434-4C44-9873-0318D1D272CA 2 0.0807 0.8728 0.012 0.976 0.000 0.000 0.012
#> 68E56692-D46D-4A27-86CD-717E10AADDDA 3 0.3039 0.6997 0.000 0.000 0.808 0.192 0.000
#> 00A0586E-5F05-47B3-925C-87E811B0893B 3 0.1082 0.7422 0.000 0.000 0.964 0.008 0.028
#> E2B019A7-7C95-40FE-800C-D30E9730825C 1 0.3704 0.7551 0.820 0.016 0.016 0.004 0.144
#> 1B9ABB69-5CC6-4B6B-ABBC-71CC3274C7F0 1 0.1965 0.8398 0.904 0.096 0.000 0.000 0.000
#> FAE396AA-3C3C-4AF9-953D-385C41B2DB5B 1 0.1341 0.8492 0.944 0.056 0.000 0.000 0.000
#> 6BE4397D-1E5B-4486-83B4-EE0EC146C805 2 0.0794 0.8719 0.000 0.972 0.000 0.000 0.028
#> EE38BD4E-5A08-4639-912F-04203F53762F 1 0.2127 0.8340 0.892 0.108 0.000 0.000 0.000
#> 4050E7F8-80B6-46F2-8FF0-D4EC313E975B 4 0.2586 0.7870 0.000 0.012 0.012 0.892 0.084
#> F3565161-FFBE-4138-9773-558DB386710C 1 0.1628 0.8513 0.936 0.056 0.000 0.000 0.008
#> BA9ABEB1-D3F0-4F09-A647-25211C47C3D0 2 0.1251 0.8709 0.000 0.956 0.008 0.000 0.036
#> 9E41E79A-4028-4F60-8250-411F191B665C 1 0.1484 0.8499 0.944 0.048 0.000 0.000 0.008
#> 5F1D3EFD-ECDA-4C92-8D81-491484F09C95 2 0.6816 0.5269 0.032 0.632 0.088 0.060 0.188
#> 0DBA04CB-417D-4E2B-BE83-3563F45291C4 1 0.1410 0.8509 0.940 0.060 0.000 0.000 0.000
#> B9B882A5-194B-4F5C-B702-0CF71CA6D9D2 2 0.0510 0.8714 0.000 0.984 0.000 0.000 0.016
#> 67FE7638-B8F5-4631-B178-AC23B0382983 1 0.4487 0.5690 0.660 0.324 0.004 0.004 0.008
#> FE03FC2C-9A4E-4F89-8681-E33DFECCC692 2 0.5223 0.6661 0.000 0.672 0.108 0.000 0.220
#> 2B22B4B7-8A39-435C-BE3B-86FA84C8F941 3 0.3427 0.5867 0.000 0.000 0.796 0.012 0.192
#> 00844B35-C108-4AEC-A687-4A91A2F33E6D 1 0.1331 0.8474 0.952 0.040 0.000 0.000 0.008
#> C221EE7A-6343-4B6D-B322-0A2C0F0B29AF 1 0.1484 0.8499 0.944 0.048 0.000 0.000 0.008
#> B28A6D56-7654-4829-BF1F-657C3C2C10D8 5 0.4060 0.6834 0.000 0.000 0.360 0.000 0.640
#> F4C7BCEC-3CD4-4D9A-89EA-0ED58EA0DCFE 1 0.2233 0.8358 0.892 0.104 0.000 0.000 0.004
#> F06FBFAB-D143-47AE-BEE7-51B48164764F 5 0.4060 0.6834 0.000 0.000 0.360 0.000 0.640
#> 525F522B-E865-4479-AE65-510903ABF46F 3 0.3039 0.6250 0.000 0.000 0.836 0.012 0.152
#> F0CB60E3-C412-46A2-918F-8C5C099AB224 2 0.3882 0.7195 0.224 0.756 0.000 0.000 0.020
#> 587F307F-6E1B-487E-8E47-A99AB43DC5B4 4 0.2074 0.8176 0.000 0.000 0.104 0.896 0.000
#> 883D9145-8414-4571-A3E1-516F03452C46 5 0.4060 0.6834 0.000 0.000 0.360 0.000 0.640
#> 4A917271-7EA0-4F43-B474-7F5EA756EB05 1 0.1341 0.8511 0.944 0.056 0.000 0.000 0.000
#> BB33015D-218C-4A1E-8839-95837D6E9B88 2 0.2828 0.8443 0.104 0.872 0.000 0.004 0.020
#> 021CC81F-710D-4EEA-B1D8-012A81715ACC 1 0.1270 0.8512 0.948 0.052 0.000 0.000 0.000
#> B00C4925-47E3-4442-ABEB-82D714A26587 2 0.3749 0.7947 0.012 0.804 0.012 0.004 0.168
#> F79B27D3-0426-47BB-9756-7E0759246E5E 4 0.4894 0.3449 0.036 0.352 0.000 0.612 0.000
#> 1F179559-D93E-491C-B499-64F86C31DAE0 5 0.5414 0.5882 0.000 0.092 0.284 0.000 0.624
#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 5 0.4482 0.6744 0.000 0.016 0.348 0.000 0.636
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 3 0.3910 0.2941 0.000 0.000 0.720 0.008 0.272
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 5 0.5352 0.5586 0.000 0.000 0.408 0.056 0.536
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 5 0.5836 -0.1149 0.000 0.412 0.096 0.000 0.492
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 1 0.4572 0.2121 0.540 0.452 0.000 0.004 0.004
#> ED9794C0-AC60-4B54-8214-D26714871BBF 1 0.1356 0.8411 0.956 0.028 0.000 0.012 0.004
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 2 0.0794 0.8719 0.000 0.972 0.000 0.000 0.028
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 2 0.1430 0.8685 0.052 0.944 0.000 0.000 0.004
#> 18D816AF-394A-482F-B22E-896A43B1E481 2 0.0703 0.8723 0.000 0.976 0.000 0.000 0.024
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 1 0.2172 0.8431 0.908 0.076 0.000 0.000 0.016
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 3 0.2773 0.7261 0.000 0.000 0.836 0.164 0.000
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 2 0.0703 0.8723 0.000 0.976 0.000 0.000 0.024
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 4 0.4150 0.7054 0.000 0.000 0.216 0.748 0.036
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 2 0.0404 0.8734 0.000 0.988 0.000 0.000 0.012
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 2 0.4275 0.7175 0.000 0.696 0.020 0.000 0.284
#> 7E809698-2473-4EFE-B896-1637983EC596 2 0.0703 0.8728 0.000 0.976 0.000 0.000 0.024
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 3 0.4256 0.1872 0.000 0.000 0.564 0.436 0.000
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 3 0.1211 0.7591 0.000 0.000 0.960 0.024 0.016
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 2 0.2125 0.8661 0.000 0.920 0.024 0.004 0.052
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.2949 0.8034 0.876 0.052 0.000 0.004 0.068
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.1605 0.8450 0.944 0.040 0.000 0.012 0.004
#> 73F28A79-7D35-4FE9-849D-FFE681483928 1 0.2233 0.8351 0.892 0.104 0.000 0.000 0.004
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 1 0.6001 0.2195 0.508 0.016 0.000 0.404 0.072
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 4 0.3143 0.7506 0.000 0.000 0.204 0.796 0.000
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 5 0.4235 0.5909 0.000 0.000 0.424 0.000 0.576
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.6240 0.4631 0.000 0.544 0.244 0.000 0.212
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.1628 0.8513 0.936 0.056 0.000 0.000 0.008
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 2 0.2228 0.8612 0.056 0.916 0.000 0.008 0.020
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 1 0.5189 0.4871 0.600 0.028 0.008 0.004 0.360
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 5 0.4060 0.6834 0.000 0.000 0.360 0.000 0.640
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 4 0.0794 0.8393 0.000 0.000 0.028 0.972 0.000
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.1697 0.8513 0.932 0.060 0.000 0.000 0.008
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.0162 0.8721 0.000 0.996 0.000 0.000 0.004
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 2 0.0794 0.8734 0.000 0.972 0.000 0.000 0.028
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.4424 0.7844 0.004 0.764 0.036 0.012 0.184
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 2 0.2263 0.8646 0.036 0.920 0.000 0.024 0.020
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 2 0.1830 0.8621 0.068 0.924 0.000 0.000 0.008
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 2 0.2860 0.8574 0.044 0.892 0.012 0.004 0.048
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 2 0.2208 0.8571 0.072 0.908 0.000 0.000 0.020
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.1341 0.8511 0.944 0.056 0.000 0.000 0.000
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 4 0.3177 0.7475 0.000 0.000 0.208 0.792 0.000
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 5 0.4060 0.6834 0.000 0.000 0.360 0.000 0.640
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.1952 0.8445 0.912 0.084 0.000 0.000 0.004
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.6080 0.3450 0.592 0.000 0.204 0.004 0.200
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.0880 0.8729 0.000 0.968 0.000 0.000 0.032
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 5 0.7466 0.3538 0.000 0.272 0.176 0.072 0.480
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.2470 0.7862 0.884 0.012 0.000 0.000 0.104
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 2 0.3846 0.7766 0.004 0.776 0.020 0.000 0.200
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.0566 0.8304 0.984 0.012 0.000 0.000 0.004
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 2 0.1934 0.8649 0.040 0.932 0.000 0.008 0.020
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 2 0.1281 0.8711 0.012 0.956 0.000 0.000 0.032
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 2 0.0609 0.8724 0.000 0.980 0.000 0.000 0.020
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 2 0.0510 0.8714 0.000 0.984 0.000 0.000 0.016
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 4 0.0290 0.8401 0.000 0.000 0.008 0.992 0.000
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 2 0.5743 0.6686 0.000 0.664 0.016 0.156 0.164
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 5 0.4060 0.6834 0.000 0.000 0.360 0.000 0.640
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 5 0.4150 0.6544 0.000 0.000 0.388 0.000 0.612
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 2 0.4413 0.7316 0.000 0.724 0.044 0.000 0.232
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 3 0.4573 0.6507 0.000 0.000 0.744 0.164 0.092
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.0609 0.8720 0.000 0.980 0.000 0.000 0.020
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 2 0.4844 0.6956 0.000 0.668 0.052 0.000 0.280
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.4287 0.2694 0.000 0.000 0.540 0.460 0.000
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.1168 0.8735 0.000 0.960 0.008 0.000 0.032
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 2 0.0290 0.8728 0.000 0.992 0.000 0.000 0.008
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 2 0.0880 0.8718 0.000 0.968 0.000 0.000 0.032
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 4 0.3480 0.7045 0.000 0.000 0.248 0.752 0.000
#> CA356591-D24F-41A8-8C9A-1178C7781510 2 0.4452 0.7226 0.000 0.696 0.032 0.000 0.272
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.0798 0.7501 0.000 0.000 0.976 0.008 0.016
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.1251 0.8457 0.956 0.036 0.000 0.000 0.008
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 4 0.1138 0.79741 0.004 0.024 0.000 0.960 0.012 0.000
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 6 0.1007 0.83981 0.000 0.000 0.044 0.000 0.000 0.956
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 4 0.3295 0.72219 0.056 0.128 0.000 0.816 0.000 0.000
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 4 0.2212 0.75359 0.000 0.112 0.000 0.880 0.008 0.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 4 0.5051 0.63067 0.020 0.124 0.000 0.732 0.044 0.080
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#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 4 0.2022 0.78568 0.024 0.052 0.000 0.916 0.008 0.000
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#> 051FBD9E-564F-4E17-851A-CF3980457DF9 4 0.0622 0.79405 0.000 0.008 0.000 0.980 0.012 0.000
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 6 0.0363 0.83714 0.000 0.000 0.012 0.000 0.000 0.988
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 4 0.5757 0.08940 0.000 0.140 0.004 0.540 0.008 0.308
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 5 0.2333 0.79621 0.000 0.004 0.120 0.004 0.872 0.000
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 5 0.2823 0.74810 0.000 0.000 0.204 0.000 0.796 0.000
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 4 0.5101 0.02715 0.004 0.380 0.004 0.556 0.052 0.004
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 3 0.3992 0.71054 0.000 0.088 0.796 0.004 0.020 0.092
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 4 0.0547 0.79499 0.000 0.000 0.000 0.980 0.020 0.000
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 2 0.4801 0.21064 0.000 0.500 0.020 0.460 0.020 0.000
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.3515 0.62524 0.000 0.000 0.676 0.000 0.000 0.324
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 4 0.2126 0.77485 0.020 0.072 0.004 0.904 0.000 0.000
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 4 0.0405 0.79481 0.000 0.008 0.000 0.988 0.004 0.000
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 4 0.1370 0.79314 0.004 0.036 0.000 0.948 0.012 0.000
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 6 0.3578 0.61104 0.000 0.000 0.340 0.000 0.000 0.660
#> CA356591-D24F-41A8-8C9A-1178C7781510 4 0.4185 0.42423 0.000 0.332 0.004 0.644 0.020 0.000
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.2070 0.80750 0.000 0.000 0.896 0.000 0.092 0.012
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.0964 0.83791 0.968 0.012 0.000 0.016 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["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 17888 rows and 430 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'ATC' method.
#> Subgroups are detected by 'NMF' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.968 0.987 0.3734 0.630 0.630
#> 3 3 0.663 0.801 0.907 0.6667 0.674 0.512
#> 4 4 0.474 0.545 0.751 0.1637 0.782 0.495
#> 5 5 0.527 0.515 0.713 0.0749 0.797 0.405
#> 6 6 0.550 0.403 0.624 0.0521 0.869 0.498
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
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 2 0.0000 0.9892 0.000 1.000
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 1 0.0000 0.9792 1.000 0.000
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 2 0.0000 0.9892 0.000 1.000
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.0000 0.9892 0.000 1.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 2 0.0000 0.9892 0.000 1.000
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 2 0.0000 0.9892 0.000 1.000
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 2 0.0000 0.9892 0.000 1.000
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 2 0.0000 0.9892 0.000 1.000
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.0000 0.9892 0.000 1.000
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.0000 0.9892 0.000 1.000
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.0000 0.9892 0.000 1.000
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 1 0.0000 0.9792 1.000 0.000
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 1 0.0000 0.9792 1.000 0.000
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.0000 0.9892 0.000 1.000
#> ECB2DF14-CF68-44D4-8719-973AE448B992 2 0.0000 0.9892 0.000 1.000
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 2 0.0000 0.9892 0.000 1.000
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 1 0.0000 0.9792 1.000 0.000
#> 3282F146-2782-4877-9EFE-6020AC277A8C 2 0.0000 0.9892 0.000 1.000
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 2 0.0000 0.9892 0.000 1.000
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 2 0.0000 0.9892 0.000 1.000
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.0000 0.9892 0.000 1.000
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 2 0.0000 0.9892 0.000 1.000
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.0000 0.9892 0.000 1.000
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 1 0.0000 0.9792 1.000 0.000
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 2 0.0000 0.9892 0.000 1.000
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 2 0.0000 0.9892 0.000 1.000
#> C945DDA9-0194-46F4-89E2-13883284D5A4 2 0.0000 0.9892 0.000 1.000
#> 79B11925-9772-474F-A729-D00315959710 2 0.0000 0.9892 0.000 1.000
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 2 0.0000 0.9892 0.000 1.000
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 1 0.0000 0.9792 1.000 0.000
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 2 0.0000 0.9892 0.000 1.000
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 2 0.0000 0.9892 0.000 1.000
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 2 0.0000 0.9892 0.000 1.000
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 1 0.0000 0.9792 1.000 0.000
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 1 0.0000 0.9792 1.000 0.000
#> 26796E5F-C0C2-466C-9012-882F6D29C149 2 0.0000 0.9892 0.000 1.000
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 2 0.0000 0.9892 0.000 1.000
#> 1492D21A-6458-4B49-B530-7A327FCDD031 2 0.0000 0.9892 0.000 1.000
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 2 0.0000 0.9892 0.000 1.000
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 2 0.0000 0.9892 0.000 1.000
#> B823982D-4102-4D21-B9CB-8C42830784F4 2 0.0000 0.9892 0.000 1.000
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 2 0.0000 0.9892 0.000 1.000
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.0000 0.9892 0.000 1.000
#> E846120D-D9E6-46F8-9647-2272AB064072 1 0.0000 0.9792 1.000 0.000
#> 36880C8C-91A9-49A9-A2D5-957161737F31 2 0.0000 0.9892 0.000 1.000
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.0000 0.9892 0.000 1.000
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 2 0.0000 0.9892 0.000 1.000
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 2 0.0000 0.9892 0.000 1.000
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 2 0.0000 0.9892 0.000 1.000
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 2 0.0000 0.9892 0.000 1.000
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 2 0.0672 0.9816 0.008 0.992
#> 116F3F29-AB89-4F00-9003-559041E285EB 2 0.0000 0.9892 0.000 1.000
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.0000 0.9892 0.000 1.000
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 2 0.0000 0.9892 0.000 1.000
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 2 0.0000 0.9892 0.000 1.000
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 2 0.0000 0.9892 0.000 1.000
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 2 0.0000 0.9892 0.000 1.000
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 2 0.0000 0.9892 0.000 1.000
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 2 0.0000 0.9892 0.000 1.000
#> 299CB633-58A3-4275-BC08-E6F3669C365A 2 0.0000 0.9892 0.000 1.000
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 1 0.0000 0.9792 1.000 0.000
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.0000 0.9892 0.000 1.000
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 1 0.0376 0.9762 0.996 0.004
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 2 0.0000 0.9892 0.000 1.000
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 2 0.0000 0.9892 0.000 1.000
#> CD576099-5450-4232-9B59-08341BED8FFA 2 0.0000 0.9892 0.000 1.000
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 2 0.0000 0.9892 0.000 1.000
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 2 0.0000 0.9892 0.000 1.000
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 2 0.0000 0.9892 0.000 1.000
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 2 0.0000 0.9892 0.000 1.000
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 2 0.0000 0.9892 0.000 1.000
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 1 0.0000 0.9792 1.000 0.000
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 2 0.0000 0.9892 0.000 1.000
#> 57E380FC-B6AB-466F-9936-D52192888008 2 0.0000 0.9892 0.000 1.000
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 2 0.0000 0.9892 0.000 1.000
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 2 0.0000 0.9892 0.000 1.000
#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 2 0.0000 0.9892 0.000 1.000
#> 1D4F0B66-720D-484D-B8D5-2B290ED208A8 1 0.9608 0.3846 0.616 0.384
#> C886CA33-5080-4E3E-88A2-F9A3CF03A857 1 0.0000 0.9792 1.000 0.000
#> 9AC963E4-F82D-460E-9CAD-C651B879780A 2 0.0000 0.9892 0.000 1.000
#> 1B6CF403-D0AE-4FFE-A884-660A58F32660 2 0.0000 0.9892 0.000 1.000
#> B33316E1-11FD-4C10-956A-C9C6F78508C5 2 0.0000 0.9892 0.000 1.000
#> BB02EF6A-C57D-4A79-99C1-ED43A72FFAF7 2 0.0000 0.9892 0.000 1.000
#> 4DBA59AD-9393-4BE6-88CB-852C62C4A334 1 0.1414 0.9630 0.980 0.020
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#> A8F3285D-A85E-4E73-9D20-9D14AA51916B 1 0.0000 0.9792 1.000 0.000
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#> BEDB0135-0A26-44EF-9028-C4907403B110 2 0.5842 0.8334 0.140 0.860
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#> 3B842084-AE30-4666-B80A-8FA36EF628F3 2 0.0000 0.9892 0.000 1.000
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#> 219B7654-6065-41D3-964B-C829364CD87B 1 0.0000 0.9792 1.000 0.000
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#> 71040F61-834D-4A75-960D-5DABBCADD3A0 2 0.0000 0.9892 0.000 1.000
#> A4EC5E62-AF75-435A-903F-D35B171CEA2C 2 0.0000 0.9892 0.000 1.000
#> 2F6A0808-8F01-4721-938D-F1FC7C5D8357 2 0.0000 0.9892 0.000 1.000
#> F1A142BF-9737-442D-B9A1-AA03958916D8 1 0.0000 0.9792 1.000 0.000
#> 2DC1CF96-6822-412A-B002-3DC1239D17A7 1 0.0000 0.9792 1.000 0.000
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#> 2B22B4B7-8A39-435C-BE3B-86FA84C8F941 1 0.0672 0.9731 0.992 0.008
#> 00844B35-C108-4AEC-A687-4A91A2F33E6D 2 0.0000 0.9892 0.000 1.000
#> C221EE7A-6343-4B6D-B322-0A2C0F0B29AF 2 0.0000 0.9892 0.000 1.000
#> B28A6D56-7654-4829-BF1F-657C3C2C10D8 2 0.0000 0.9892 0.000 1.000
#> F4C7BCEC-3CD4-4D9A-89EA-0ED58EA0DCFE 2 0.0000 0.9892 0.000 1.000
#> F06FBFAB-D143-47AE-BEE7-51B48164764F 2 0.5842 0.8328 0.140 0.860
#> 525F522B-E865-4479-AE65-510903ABF46F 1 0.0000 0.9792 1.000 0.000
#> F0CB60E3-C412-46A2-918F-8C5C099AB224 2 0.0000 0.9892 0.000 1.000
#> 587F307F-6E1B-487E-8E47-A99AB43DC5B4 1 0.0000 0.9792 1.000 0.000
#> 883D9145-8414-4571-A3E1-516F03452C46 2 0.0000 0.9892 0.000 1.000
#> 4A917271-7EA0-4F43-B474-7F5EA756EB05 2 0.0000 0.9892 0.000 1.000
#> BB33015D-218C-4A1E-8839-95837D6E9B88 2 0.0000 0.9892 0.000 1.000
#> 021CC81F-710D-4EEA-B1D8-012A81715ACC 2 0.0000 0.9892 0.000 1.000
#> B00C4925-47E3-4442-ABEB-82D714A26587 2 0.0000 0.9892 0.000 1.000
#> F79B27D3-0426-47BB-9756-7E0759246E5E 2 0.4690 0.8827 0.100 0.900
#> 1F179559-D93E-491C-B499-64F86C31DAE0 2 0.0000 0.9892 0.000 1.000
#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 2 0.0000 0.9892 0.000 1.000
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 1 0.0000 0.9792 1.000 0.000
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 1 0.0000 0.9792 1.000 0.000
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 2 0.0000 0.9892 0.000 1.000
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 2 0.0000 0.9892 0.000 1.000
#> ED9794C0-AC60-4B54-8214-D26714871BBF 2 0.0000 0.9892 0.000 1.000
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 2 0.0000 0.9892 0.000 1.000
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 2 0.0000 0.9892 0.000 1.000
#> 18D816AF-394A-482F-B22E-896A43B1E481 2 0.0000 0.9892 0.000 1.000
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 2 0.0000 0.9892 0.000 1.000
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 1 0.0000 0.9792 1.000 0.000
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 2 0.0000 0.9892 0.000 1.000
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 1 0.0938 0.9699 0.988 0.012
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 2 0.0000 0.9892 0.000 1.000
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 2 0.0000 0.9892 0.000 1.000
#> 7E809698-2473-4EFE-B896-1637983EC596 2 0.0000 0.9892 0.000 1.000
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 1 0.0000 0.9792 1.000 0.000
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 1 0.0000 0.9792 1.000 0.000
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 2 0.5842 0.8325 0.140 0.860
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 2 0.0000 0.9892 0.000 1.000
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 2 0.0000 0.9892 0.000 1.000
#> 73F28A79-7D35-4FE9-849D-FFE681483928 2 0.0000 0.9892 0.000 1.000
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 2 0.0000 0.9892 0.000 1.000
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 1 0.0000 0.9792 1.000 0.000
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 1 0.0000 0.9792 1.000 0.000
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.0000 0.9892 0.000 1.000
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 2 0.0000 0.9892 0.000 1.000
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 2 0.0000 0.9892 0.000 1.000
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 2 0.0000 0.9892 0.000 1.000
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 2 0.4022 0.9067 0.080 0.920
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 1 0.0000 0.9792 1.000 0.000
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 2 0.0000 0.9892 0.000 1.000
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.0000 0.9892 0.000 1.000
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 2 0.0000 0.9892 0.000 1.000
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.7883 0.6880 0.236 0.764
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 2 0.0000 0.9892 0.000 1.000
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 2 0.0000 0.9892 0.000 1.000
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 2 0.0000 0.9892 0.000 1.000
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 2 0.0000 0.9892 0.000 1.000
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 2 0.0000 0.9892 0.000 1.000
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 1 0.0000 0.9792 1.000 0.000
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.0000 0.9792 1.000 0.000
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 2 0.0000 0.9892 0.000 1.000
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 2 0.0000 0.9892 0.000 1.000
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.0000 0.9892 0.000 1.000
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 2 0.0000 0.9892 0.000 1.000
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 2 0.0000 0.9892 0.000 1.000
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 2 0.0000 0.9892 0.000 1.000
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 2 0.0000 0.9892 0.000 1.000
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 2 0.0000 0.9892 0.000 1.000
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 2 0.0000 0.9892 0.000 1.000
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 2 0.0000 0.9892 0.000 1.000
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 2 0.0000 0.9892 0.000 1.000
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 1 0.0000 0.9792 1.000 0.000
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 2 0.0376 0.9854 0.004 0.996
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 2 0.0376 0.9854 0.004 0.996
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 2 0.9460 0.4188 0.364 0.636
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 2 0.0000 0.9892 0.000 1.000
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 1 0.0000 0.9792 1.000 0.000
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.0000 0.9892 0.000 1.000
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 2 0.0000 0.9892 0.000 1.000
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 1 0.0000 0.9792 1.000 0.000
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 2 0.0000 0.9892 0.000 1.000
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 2 0.0000 0.9892 0.000 1.000
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 2 0.0000 0.9892 0.000 1.000
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 1 0.0000 0.9792 1.000 0.000
#> CA356591-D24F-41A8-8C9A-1178C7781510 2 0.0000 0.9892 0.000 1.000
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 1 0.0000 0.9792 1.000 0.000
#> 825309CC-4841-4475-BF77-8250C5EEADD8 2 0.0000 0.9892 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 2 0.0000 0.9041 0.000 1.000 0.000
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 3 0.0000 0.9189 0.000 0.000 1.000
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 1 0.5058 0.7422 0.756 0.244 0.000
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.0000 0.9041 0.000 1.000 0.000
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 1 0.0592 0.8759 0.988 0.012 0.000
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 1 0.0000 0.8759 1.000 0.000 0.000
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 2 0.0000 0.9041 0.000 1.000 0.000
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 1 0.6244 0.3931 0.560 0.440 0.000
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.2537 0.8433 0.080 0.920 0.000
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.0000 0.9041 0.000 1.000 0.000
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.5397 0.5277 0.280 0.720 0.000
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.0000 0.9189 0.000 0.000 1.000
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 3 0.5733 0.6056 0.324 0.000 0.676
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.0000 0.9041 0.000 1.000 0.000
#> ECB2DF14-CF68-44D4-8719-973AE448B992 1 0.4504 0.7866 0.804 0.196 0.000
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 2 0.0000 0.9041 0.000 1.000 0.000
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 3 0.0000 0.9189 0.000 0.000 1.000
#> 3282F146-2782-4877-9EFE-6020AC277A8C 2 0.0000 0.9041 0.000 1.000 0.000
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 1 0.5988 0.5580 0.632 0.368 0.000
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 1 0.2066 0.8632 0.940 0.060 0.000
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.0000 0.9041 0.000 1.000 0.000
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 1 0.5216 0.7241 0.740 0.260 0.000
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.0000 0.9041 0.000 1.000 0.000
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 1 0.6307 -0.1512 0.512 0.000 0.488
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 1 0.4974 0.7505 0.764 0.236 0.000
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 1 0.0000 0.8759 1.000 0.000 0.000
#> C945DDA9-0194-46F4-89E2-13883284D5A4 2 0.6490 0.6788 0.172 0.752 0.076
#> 79B11925-9772-474F-A729-D00315959710 1 0.0000 0.8759 1.000 0.000 0.000
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 1 0.5733 0.6365 0.676 0.324 0.000
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 3 0.3941 0.8129 0.156 0.000 0.844
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 1 0.3482 0.8324 0.872 0.128 0.000
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 1 0.0000 0.8759 1.000 0.000 0.000
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 1 0.6299 0.2874 0.524 0.476 0.000
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 3 0.1031 0.9073 0.024 0.000 0.976
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.0000 0.9189 0.000 0.000 1.000
#> 26796E5F-C0C2-466C-9012-882F6D29C149 2 0.3879 0.7567 0.152 0.848 0.000
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 0.0000 0.8759 1.000 0.000 0.000
#> 1492D21A-6458-4B49-B530-7A327FCDD031 1 0.0000 0.8759 1.000 0.000 0.000
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 1 0.4702 0.7726 0.788 0.212 0.000
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 2 0.2165 0.8561 0.064 0.936 0.000
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.0000 0.8759 1.000 0.000 0.000
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 1 0.0424 0.8762 0.992 0.008 0.000
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.6079 0.2362 0.388 0.612 0.000
#> E846120D-D9E6-46F8-9647-2272AB064072 3 0.3482 0.8345 0.128 0.000 0.872
#> 36880C8C-91A9-49A9-A2D5-957161737F31 1 0.5905 0.5864 0.648 0.352 0.000
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.0237 0.9021 0.004 0.996 0.000
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 1 0.3551 0.8303 0.868 0.132 0.000
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 1 0.0000 0.8759 1.000 0.000 0.000
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 1 0.0892 0.8745 0.980 0.020 0.000
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 1 0.3267 0.8388 0.884 0.116 0.000
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 1 0.2878 0.7984 0.904 0.000 0.096
#> 116F3F29-AB89-4F00-9003-559041E285EB 2 0.0000 0.9041 0.000 1.000 0.000
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.0000 0.9041 0.000 1.000 0.000
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 1 0.0000 0.8759 1.000 0.000 0.000
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 2 0.0000 0.9041 0.000 1.000 0.000
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 1 0.4974 0.7500 0.764 0.236 0.000
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 1 0.1643 0.8683 0.956 0.044 0.000
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 2 0.0000 0.9041 0.000 1.000 0.000
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 2 0.0000 0.9041 0.000 1.000 0.000
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.0000 0.8759 1.000 0.000 0.000
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 3 0.0000 0.9189 0.000 0.000 1.000
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 1 0.5835 0.6123 0.660 0.340 0.000
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 3 0.1289 0.9022 0.032 0.000 0.968
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 1 0.0000 0.8759 1.000 0.000 0.000
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 2 0.0000 0.9041 0.000 1.000 0.000
#> CD576099-5450-4232-9B59-08341BED8FFA 2 0.5216 0.5703 0.260 0.740 0.000
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 2 0.0000 0.9041 0.000 1.000 0.000
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 1 0.2165 0.8614 0.936 0.064 0.000
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 1 0.0000 0.8759 1.000 0.000 0.000
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 2 0.0000 0.9041 0.000 1.000 0.000
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 2 0.0237 0.9020 0.004 0.996 0.000
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 3 0.0000 0.9189 0.000 0.000 1.000
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 1 0.0000 0.8759 1.000 0.000 0.000
#> 57E380FC-B6AB-466F-9936-D52192888008 1 0.4062 0.8097 0.836 0.164 0.000
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 1 0.6244 0.3945 0.560 0.440 0.000
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 1 0.0000 0.8759 1.000 0.000 0.000
#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 2 0.0000 0.9041 0.000 1.000 0.000
#> 1D4F0B66-720D-484D-B8D5-2B290ED208A8 3 0.6950 0.3070 0.020 0.408 0.572
#> C886CA33-5080-4E3E-88A2-F9A3CF03A857 3 0.0000 0.9189 0.000 0.000 1.000
#> 9AC963E4-F82D-460E-9CAD-C651B879780A 2 0.1411 0.8790 0.036 0.964 0.000
#> 1B6CF403-D0AE-4FFE-A884-660A58F32660 1 0.0424 0.8763 0.992 0.008 0.000
#> B33316E1-11FD-4C10-956A-C9C6F78508C5 1 0.1031 0.8739 0.976 0.024 0.000
#> BB02EF6A-C57D-4A79-99C1-ED43A72FFAF7 2 0.0000 0.9041 0.000 1.000 0.000
#> 4DBA59AD-9393-4BE6-88CB-852C62C4A334 2 0.5835 0.4062 0.000 0.660 0.340
#> 7887EDC4-A0D7-4E57-B3A1-330A5683457D 1 0.2711 0.8522 0.912 0.088 0.000
#> 2CD3AC14-46FB-4260-AE5C-4305C68D49BC 1 0.5926 0.5806 0.644 0.356 0.000
#> BAB8FA79-208A-488D-B955-806263E5D6BB 2 0.0892 0.8914 0.020 0.980 0.000
#> 98C990E7-7E3B-4200-A88D-E641931302EA 1 0.2625 0.8539 0.916 0.084 0.000
#> 894EE382-5ACA-4DEB-9267-99ADBEF6DA19 2 0.0000 0.9041 0.000 1.000 0.000
#> 98795F95-D26D-438A-AF46-B3BC3553F020 3 0.0000 0.9189 0.000 0.000 1.000
#> 9AD4C328-1554-4C92-931C-30CE8F305FDE 1 0.0000 0.8759 1.000 0.000 0.000
#> 4D1518D9-D968-4E7F-A702-5157A1A2E83E 1 0.0000 0.8759 1.000 0.000 0.000
#> A6E8AF8C-5D7B-4197-990B-786A869ACB96 1 0.0000 0.8759 1.000 0.000 0.000
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#> 7AF6E8FF-2E16-4D5B-A475-8C2492BE0325 1 0.0747 0.8663 0.984 0.000 0.016
#> AF9B58D8-D875-412B-99F5-1E7768C18080 1 0.0000 0.8759 1.000 0.000 0.000
#> 0EEEDCFE-9FB9-4F12-9ADB-701AF3324B0F 1 0.0000 0.8759 1.000 0.000 0.000
#> F96A4D39-CA48-4D92-94D7-951B746407B5 3 0.0000 0.9189 0.000 0.000 1.000
#> DDB6A47A-3E0A-4738-9D1E-EAB8682485C3 2 0.0000 0.9041 0.000 1.000 0.000
#> 914276B4-F36B-49F9-8F2A-05296459F3EB 2 0.0000 0.9041 0.000 1.000 0.000
#> 94D3B158-1C7B-43A2-AE00-64E115344C52 1 0.6225 0.4152 0.568 0.432 0.000
#> 8A125E59-3E7E-4A77-9F5C-94AAD54C95E5 1 0.2796 0.8517 0.908 0.092 0.000
#> F1AD0BF7-6094-4B0D-9FE1-F8439124269A 1 0.0000 0.8759 1.000 0.000 0.000
#> 3F7EC434-13A6-46C4-8791-C8992192C3D6 2 0.0000 0.9041 0.000 1.000 0.000
#> 65D42DF3-62D8-4B1E-B6EB-A0FEEA01FD70 1 0.0000 0.8759 1.000 0.000 0.000
#> 7A42FA71-7FD7-47B6-842B-0BEF0ECD7FB5 1 0.4504 0.7879 0.804 0.196 0.000
#> 57F784E9-1827-476B-9AA6-524E842641EA 3 0.0000 0.9189 0.000 0.000 1.000
#> 5E79792E-CE89-4ECF-BD4E-B12877E63949 2 0.0000 0.9041 0.000 1.000 0.000
#> E9DB46D8-5CE4-472C-8F21-9180F2D4C880 2 0.0000 0.9041 0.000 1.000 0.000
#> 7C712EF3-7368-4D97-BB9A-717CF8522C7F 3 0.2165 0.8821 0.064 0.000 0.936
#> 30312D82-4966-4EAA-A067-F91852FA8663 2 0.0747 0.8942 0.016 0.984 0.000
#> ECC62CBA-16AB-45F0-9C5A-72F302B4A188 2 0.0000 0.9041 0.000 1.000 0.000
#> 5AF4899F-D8E1-4CB6-B3DC-F0C60C808838 3 0.6075 0.6085 0.316 0.008 0.676
#> BBCEA0D1-DE66-4C0C-8D3C-D1398D04B472 2 0.0000 0.9041 0.000 1.000 0.000
#> 154764CD-AC69-4F48-A212-8B27C076C91A 1 0.2796 0.8040 0.908 0.000 0.092
#> 33266777-E07B-49D0-9E24-2EDE2577CF16 1 0.0000 0.8759 1.000 0.000 0.000
#> 7DAE9720-3922-4680-9F95-75C029B7FDA9 3 0.0000 0.9189 0.000 0.000 1.000
#> 1BC2ECED-0425-4382-BB94-F57ED2687F18 1 0.0000 0.8759 1.000 0.000 0.000
#> 0901D931-77BE-47B0-AE5F-C26C6A144CA0 1 0.4062 0.8097 0.836 0.164 0.000
#> 77AFFD5F-F715-4242-95C9-5F36E061B3E2 1 0.3267 0.8390 0.884 0.116 0.000
#> FAB4A6D6-E978-4172-9FE1-79FC50C0F849 2 0.0237 0.9020 0.004 0.996 0.000
#> 32C4DF54-39DD-4F62-B938-82ED2A0E0FFD 1 0.0000 0.8759 1.000 0.000 0.000
#> 9911D83E-6DDF-4048-9A34-22BFA1D68BBD 3 0.0000 0.9189 0.000 0.000 1.000
#> 4BAC0A03-BB88-4D19-86F9-FF093330C9B3 2 0.5810 0.4850 0.336 0.664 0.000
#> 18F63ADA-1828-43DD-AE1F-F36706C204CD 3 0.0000 0.9189 0.000 0.000 1.000
#> 66729295-C0AA-42C7-92C9-05194EF02276 3 0.1289 0.9021 0.032 0.000 0.968
#> 4CCA3104-B557-403D-AC06-A6D4936DDC04 3 0.0000 0.9189 0.000 0.000 1.000
#> 77D4165E-7CB1-4D69-AFE5-C8D914531651 2 0.0000 0.9041 0.000 1.000 0.000
#> BA12A05A-622A-424D-8108-3F5916405EB0 3 0.5905 0.5532 0.352 0.000 0.648
#> DED4EA4D-9DC2-4419-83EC-2BFE75DC1830 2 0.0000 0.9041 0.000 1.000 0.000
#> 13A35364-57C5-4F5A-B077-3BA2689BFDD3 1 0.0592 0.8756 0.988 0.012 0.000
#> 2641B816-1D21-496E-85AD-1C690C9146A6 3 0.0000 0.9189 0.000 0.000 1.000
#> 96E2AD09-7287-4B91-840E-81444A61D56F 3 0.6423 0.6336 0.044 0.228 0.728
#> 62F3327F-FB16-4AD0-BCF5-B180F28281A9 1 0.5058 0.7422 0.756 0.244 0.000
#> 112F7032-0212-4939-9449-D67E3600CCD5 3 0.0000 0.9189 0.000 0.000 1.000
#> A3B4DE21-DDF0-4468-A300-7BECBAFD0BCD 1 0.0000 0.8759 1.000 0.000 0.000
#> 0A03E593-6931-419C-AE47-51D75185C2C0 2 0.1860 0.8668 0.052 0.948 0.000
#> 2416A3DC-A563-4FD1-A139-0E6EF7185211 2 0.0424 0.8997 0.008 0.992 0.000
#> 18B29573-822C-405F-B793-DBC8924866CE 2 0.0000 0.9041 0.000 1.000 0.000
#> 994EC227-B239-4CEE-AC96-EB5CC0AF583E 1 0.0000 0.8759 1.000 0.000 0.000
#> 950933A3-5757-4914-9DC5-C220C2A455FD 3 0.0000 0.9189 0.000 0.000 1.000
#> DBDFE95C-F941-407A-BE7D-D43D50143C4D 1 0.0424 0.8750 0.992 0.008 0.000
#> D024393C-29D0-41C4-AB86-7E94581FDD26 2 0.0000 0.9041 0.000 1.000 0.000
#> 4975AB35-93E5-400D-A429-CEA81BA89FFE 1 0.0424 0.8763 0.992 0.008 0.000
#> 666ADCA2-1AE4-4843-B1C8-8EE29C44AE74 1 0.0000 0.8759 1.000 0.000 0.000
#> A8F79C08-3943-4707-ADCB-890A955B5394 1 0.5733 0.6357 0.676 0.324 0.000
#> A81614ED-14CB-4EBC-988E-F67FBCBF62D8 2 0.0237 0.9020 0.004 0.996 0.000
#> E27E65C8-5B57-4C91-9D20-C075AEA2F2C5 1 0.0000 0.8759 1.000 0.000 0.000
#> 745F18CA-080D-42FE-BAA6-89AD7E3D3408 2 0.6140 0.1716 0.404 0.596 0.000
#> E755A625-799D-4A39-9D56-080228E0B669 1 0.4555 0.7844 0.800 0.200 0.000
#> 3D94EFB8-94D4-4FDE-97D8-18A159279996 3 0.0000 0.9189 0.000 0.000 1.000
#> 3D305C2E-6C86-4684-AA2A-155291AB4CC3 1 0.0000 0.8759 1.000 0.000 0.000
#> E140052A-5434-4C44-9873-0318D1D272CA 2 0.0000 0.9041 0.000 1.000 0.000
#> 68E56692-D46D-4A27-86CD-717E10AADDDA 3 0.0000 0.9189 0.000 0.000 1.000
#> 00A0586E-5F05-47B3-925C-87E811B0893B 3 0.0000 0.9189 0.000 0.000 1.000
#> E2B019A7-7C95-40FE-800C-D30E9730825C 1 0.0000 0.8759 1.000 0.000 0.000
#> 1B9ABB69-5CC6-4B6B-ABBC-71CC3274C7F0 1 0.2711 0.8519 0.912 0.088 0.000
#> FAE396AA-3C3C-4AF9-953D-385C41B2DB5B 1 0.0000 0.8759 1.000 0.000 0.000
#> 6BE4397D-1E5B-4486-83B4-EE0EC146C805 2 0.0000 0.9041 0.000 1.000 0.000
#> EE38BD4E-5A08-4639-912F-04203F53762F 1 0.1031 0.8735 0.976 0.024 0.000
#> 4050E7F8-80B6-46F2-8FF0-D4EC313E975B 1 0.0424 0.8715 0.992 0.000 0.008
#> F3565161-FFBE-4138-9773-558DB386710C 1 0.0000 0.8759 1.000 0.000 0.000
#> BA9ABEB1-D3F0-4F09-A647-25211C47C3D0 2 0.0000 0.9041 0.000 1.000 0.000
#> 9E41E79A-4028-4F60-8250-411F191B665C 1 0.0000 0.8759 1.000 0.000 0.000
#> 5F1D3EFD-ECDA-4C92-8D81-491484F09C95 1 0.5650 0.6549 0.688 0.312 0.000
#> 0DBA04CB-417D-4E2B-BE83-3563F45291C4 1 0.0000 0.8759 1.000 0.000 0.000
#> B9B882A5-194B-4F5C-B702-0CF71CA6D9D2 2 0.5968 0.3068 0.364 0.636 0.000
#> 67FE7638-B8F5-4631-B178-AC23B0382983 1 0.4399 0.7930 0.812 0.188 0.000
#> FE03FC2C-9A4E-4F89-8681-E33DFECCC692 1 0.0000 0.8759 1.000 0.000 0.000
#> 2B22B4B7-8A39-435C-BE3B-86FA84C8F941 2 0.0000 0.9041 0.000 1.000 0.000
#> 00844B35-C108-4AEC-A687-4A91A2F33E6D 1 0.0000 0.8759 1.000 0.000 0.000
#> C221EE7A-6343-4B6D-B322-0A2C0F0B29AF 1 0.0000 0.8759 1.000 0.000 0.000
#> B28A6D56-7654-4829-BF1F-657C3C2C10D8 1 0.0000 0.8759 1.000 0.000 0.000
#> F4C7BCEC-3CD4-4D9A-89EA-0ED58EA0DCFE 1 0.1163 0.8725 0.972 0.028 0.000
#> F06FBFAB-D143-47AE-BEE7-51B48164764F 1 0.0237 0.8737 0.996 0.000 0.004
#> 525F522B-E865-4479-AE65-510903ABF46F 2 0.0000 0.9041 0.000 1.000 0.000
#> F0CB60E3-C412-46A2-918F-8C5C099AB224 1 0.1753 0.8669 0.952 0.048 0.000
#> 587F307F-6E1B-487E-8E47-A99AB43DC5B4 3 0.0000 0.9189 0.000 0.000 1.000
#> 883D9145-8414-4571-A3E1-516F03452C46 1 0.0000 0.8759 1.000 0.000 0.000
#> 4A917271-7EA0-4F43-B474-7F5EA756EB05 1 0.0000 0.8759 1.000 0.000 0.000
#> BB33015D-218C-4A1E-8839-95837D6E9B88 1 0.4605 0.7798 0.796 0.204 0.000
#> 021CC81F-710D-4EEA-B1D8-012A81715ACC 1 0.0000 0.8759 1.000 0.000 0.000
#> B00C4925-47E3-4442-ABEB-82D714A26587 1 0.0000 0.8759 1.000 0.000 0.000
#> F79B27D3-0426-47BB-9756-7E0759246E5E 2 0.0000 0.9041 0.000 1.000 0.000
#> 1F179559-D93E-491C-B499-64F86C31DAE0 1 0.0000 0.8759 1.000 0.000 0.000
#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 1 0.0000 0.8759 1.000 0.000 0.000
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 3 0.0000 0.9189 0.000 0.000 1.000
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 3 0.1289 0.8996 0.032 0.000 0.968
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 2 0.0000 0.9041 0.000 1.000 0.000
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 1 0.0000 0.8759 1.000 0.000 0.000
#> ED9794C0-AC60-4B54-8214-D26714871BBF 1 0.0000 0.8759 1.000 0.000 0.000
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 2 0.0000 0.9041 0.000 1.000 0.000
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 2 0.0237 0.9020 0.004 0.996 0.000
#> 18D816AF-394A-482F-B22E-896A43B1E481 2 0.0000 0.9041 0.000 1.000 0.000
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 1 0.0000 0.8759 1.000 0.000 0.000
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 3 0.0000 0.9189 0.000 0.000 1.000
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 2 0.0000 0.9041 0.000 1.000 0.000
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 1 0.6244 0.0314 0.560 0.000 0.440
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 1 0.5397 0.6977 0.720 0.280 0.000
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 2 0.0000 0.9041 0.000 1.000 0.000
#> 7E809698-2473-4EFE-B896-1637983EC596 2 0.0592 0.8970 0.012 0.988 0.000
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 3 0.0000 0.9189 0.000 0.000 1.000
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 3 0.0000 0.9189 0.000 0.000 1.000
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 2 0.0000 0.9041 0.000 1.000 0.000
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.0000 0.8759 1.000 0.000 0.000
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 1 0.0000 0.8759 1.000 0.000 0.000
#> 73F28A79-7D35-4FE9-849D-FFE681483928 1 0.1529 0.8693 0.960 0.040 0.000
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 1 0.0000 0.8759 1.000 0.000 0.000
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 3 0.4605 0.7678 0.204 0.000 0.796
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 3 0.0000 0.9189 0.000 0.000 1.000
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.0000 0.9041 0.000 1.000 0.000
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.0000 0.8759 1.000 0.000 0.000
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 1 0.4842 0.7613 0.776 0.224 0.000
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 1 0.0000 0.8759 1.000 0.000 0.000
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 1 0.0747 0.8667 0.984 0.000 0.016
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.0000 0.9189 0.000 0.000 1.000
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.0000 0.8759 1.000 0.000 0.000
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 1 0.5905 0.5892 0.648 0.352 0.000
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 2 0.1964 0.8619 0.056 0.944 0.000
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.0000 0.9041 0.000 1.000 0.000
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 2 0.0000 0.9041 0.000 1.000 0.000
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 1 0.5760 0.6303 0.672 0.328 0.000
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 1 0.3267 0.8408 0.884 0.116 0.000
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 1 0.4974 0.7519 0.764 0.236 0.000
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.0000 0.8759 1.000 0.000 0.000
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.0000 0.9189 0.000 0.000 1.000
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 3 0.2959 0.8558 0.100 0.000 0.900
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.0892 0.8743 0.980 0.020 0.000
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.0237 0.8737 0.996 0.000 0.004
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.0000 0.9041 0.000 1.000 0.000
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 1 0.6777 0.5421 0.616 0.364 0.020
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 1 0.0000 0.8759 1.000 0.000 0.000
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 1 0.0000 0.8759 1.000 0.000 0.000
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.0000 0.8759 1.000 0.000 0.000
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 1 0.5560 0.6710 0.700 0.300 0.000
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 2 0.0000 0.9041 0.000 1.000 0.000
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 1 0.6111 0.4990 0.604 0.396 0.000
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 2 0.0424 0.8997 0.008 0.992 0.000
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 3 0.6308 0.0702 0.000 0.492 0.508
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 2 0.5859 0.4732 0.344 0.656 0.000
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.0000 0.8759 1.000 0.000 0.000
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.0592 0.8689 0.988 0.000 0.012
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 1 0.5178 0.7286 0.744 0.256 0.000
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.1163 0.8787 0.000 0.972 0.028
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.0000 0.9041 0.000 1.000 0.000
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 2 0.0000 0.9041 0.000 1.000 0.000
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.0592 0.9116 0.000 0.012 0.988
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 1 0.4654 0.7785 0.792 0.208 0.000
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 1 0.6008 0.5504 0.628 0.372 0.000
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 2 0.0000 0.9041 0.000 1.000 0.000
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.0000 0.9189 0.000 0.000 1.000
#> CA356591-D24F-41A8-8C9A-1178C7781510 2 0.0000 0.9041 0.000 1.000 0.000
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.0000 0.9189 0.000 0.000 1.000
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.0000 0.8759 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 2 0.2796 0.7531 0.016 0.892 0.000 0.092
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 4 0.4999 -0.3197 0.000 0.000 0.492 0.508
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 4 0.5376 0.5391 0.088 0.176 0.000 0.736
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.1398 0.7568 0.040 0.956 0.000 0.004
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 4 0.3787 0.5821 0.124 0.036 0.000 0.840
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 1 0.4994 0.1498 0.520 0.000 0.000 0.480
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 2 0.3306 0.7367 0.004 0.840 0.000 0.156
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 2 0.6916 0.5176 0.236 0.588 0.000 0.176
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.1151 0.7630 0.008 0.968 0.000 0.024
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.0336 0.7578 0.000 0.992 0.000 0.008
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.3625 0.7171 0.160 0.828 0.000 0.012
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.0188 0.8601 0.000 0.000 0.996 0.004
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#> 9E41E79A-4028-4F60-8250-411F191B665C 1 0.4585 0.4068 0.668 0.000 0.000 0.332
#> 5F1D3EFD-ECDA-4C92-8D81-491484F09C95 4 0.7799 0.2087 0.272 0.308 0.000 0.420
#> 0DBA04CB-417D-4E2B-BE83-3563F45291C4 1 0.4981 0.1469 0.536 0.000 0.000 0.464
#> B9B882A5-194B-4F5C-B702-0CF71CA6D9D2 2 0.5722 0.6639 0.148 0.716 0.000 0.136
#> 67FE7638-B8F5-4631-B178-AC23B0382983 1 0.5496 0.5114 0.732 0.160 0.000 0.108
#> FE03FC2C-9A4E-4F89-8681-E33DFECCC692 1 0.5132 0.1876 0.548 0.004 0.000 0.448
#> 2B22B4B7-8A39-435C-BE3B-86FA84C8F941 2 0.2124 0.7452 0.000 0.924 0.068 0.008
#> 00844B35-C108-4AEC-A687-4A91A2F33E6D 1 0.3172 0.5917 0.840 0.000 0.000 0.160
#> C221EE7A-6343-4B6D-B322-0A2C0F0B29AF 1 0.3907 0.5496 0.768 0.000 0.000 0.232
#> B28A6D56-7654-4829-BF1F-657C3C2C10D8 1 0.1022 0.6300 0.968 0.000 0.000 0.032
#> F4C7BCEC-3CD4-4D9A-89EA-0ED58EA0DCFE 1 0.4839 0.5411 0.764 0.052 0.000 0.184
#> F06FBFAB-D143-47AE-BEE7-51B48164764F 1 0.5550 0.4684 0.692 0.000 0.060 0.248
#> 525F522B-E865-4479-AE65-510903ABF46F 2 0.5781 0.2962 0.020 0.576 0.396 0.008
#> F0CB60E3-C412-46A2-918F-8C5C099AB224 4 0.5690 0.5281 0.196 0.096 0.000 0.708
#> 587F307F-6E1B-487E-8E47-A99AB43DC5B4 3 0.2760 0.8346 0.000 0.000 0.872 0.128
#> 883D9145-8414-4571-A3E1-516F03452C46 1 0.0712 0.6291 0.984 0.004 0.008 0.004
#> 4A917271-7EA0-4F43-B474-7F5EA756EB05 1 0.4564 0.4108 0.672 0.000 0.000 0.328
#> BB33015D-218C-4A1E-8839-95837D6E9B88 4 0.5293 0.5548 0.100 0.152 0.000 0.748
#> 021CC81F-710D-4EEA-B1D8-012A81715ACC 4 0.4961 0.0839 0.448 0.000 0.000 0.552
#> B00C4925-47E3-4442-ABEB-82D714A26587 1 0.5137 0.1134 0.544 0.004 0.000 0.452
#> F79B27D3-0426-47BB-9756-7E0759246E5E 2 0.4164 0.5489 0.000 0.736 0.000 0.264
#> 1F179559-D93E-491C-B499-64F86C31DAE0 4 0.4343 0.4905 0.264 0.004 0.000 0.732
#> 6F91B78B-BDEF-4357-B8F5-9478B1A1E1F4 1 0.4615 0.5141 0.744 0.008 0.008 0.240
#> 059BA3BD-3DA8-4218-A00F-2C332882BBE9 3 0.3306 0.7535 0.156 0.000 0.840 0.004
#> 09CF2A1C-878F-45BF-A98C-803056C89EAE 3 0.5158 0.1313 0.472 0.000 0.524 0.004
#> D95632A2-EAC0-4CCE-BA3F-DC2BF563D344 2 0.6081 0.3250 0.396 0.564 0.028 0.012
#> E5783A36-AFAB-4A48-8724-5C7FFB6D8E51 4 0.4866 0.2411 0.404 0.000 0.000 0.596
#> ED9794C0-AC60-4B54-8214-D26714871BBF 4 0.3837 0.4560 0.224 0.000 0.000 0.776
#> 032A168C-58E3-4DB4-9E64-9CA29682CDE4 2 0.2654 0.7512 0.004 0.888 0.000 0.108
#> 254A9134-7D3D-4A21-AADE-C5AC69AA6F9A 2 0.0817 0.7546 0.000 0.976 0.000 0.024
#> 18D816AF-394A-482F-B22E-896A43B1E481 2 0.0817 0.7546 0.000 0.976 0.000 0.024
#> 001099D2-E6EA-46E9-AD6F-CD2E800BC6D8 4 0.3172 0.5540 0.160 0.000 0.000 0.840
#> FF4E2BA3-AD78-4CEB-9328-C243601E7AB6 3 0.0657 0.8611 0.000 0.004 0.984 0.012
#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 2 0.0707 0.7573 0.000 0.980 0.000 0.020
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 4 0.6928 0.2294 0.136 0.000 0.308 0.556
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 1 0.7840 -0.0508 0.392 0.340 0.000 0.268
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 2 0.3943 0.7407 0.112 0.844 0.008 0.036
#> 7E809698-2473-4EFE-B896-1637983EC596 2 0.5151 0.6897 0.100 0.760 0.000 0.140
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 3 0.1302 0.8617 0.000 0.000 0.956 0.044
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 3 0.0000 0.8609 0.000 0.000 1.000 0.000
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 2 0.0921 0.7536 0.000 0.972 0.000 0.028
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.3266 0.5868 0.832 0.000 0.000 0.168
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 4 0.3123 0.5250 0.156 0.000 0.000 0.844
#> 73F28A79-7D35-4FE9-849D-FFE681483928 4 0.6709 0.2149 0.400 0.092 0.000 0.508
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 4 0.3356 0.5168 0.176 0.000 0.000 0.824
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 4 0.7034 0.1440 0.116 0.004 0.348 0.532
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 3 0.5699 0.3716 0.380 0.000 0.588 0.032
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.2198 0.7381 0.072 0.920 0.000 0.008
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.4277 0.4813 0.720 0.000 0.000 0.280
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 4 0.6833 0.3973 0.144 0.272 0.000 0.584
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 1 0.3400 0.5931 0.820 0.000 0.000 0.180
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 1 0.5247 0.5253 0.752 0.000 0.100 0.148
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.1118 0.8622 0.000 0.000 0.964 0.036
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.4134 0.5128 0.740 0.000 0.000 0.260
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 2 0.6519 0.4980 0.320 0.584 0.000 0.096
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 2 0.5883 0.6528 0.128 0.700 0.000 0.172
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.2261 0.7534 0.036 0.932 0.024 0.008
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 2 0.4605 0.5785 0.000 0.664 0.000 0.336
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 2 0.6364 0.5960 0.144 0.652 0.000 0.204
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 2 0.7913 -0.2428 0.324 0.360 0.000 0.316
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 4 0.6407 0.0793 0.068 0.412 0.000 0.520
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 4 0.4999 -0.0846 0.492 0.000 0.000 0.508
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.3266 0.8036 0.000 0.000 0.832 0.168
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.6009 -0.0584 0.492 0.000 0.468 0.040
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.5793 0.2731 0.580 0.036 0.000 0.384
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.5105 0.2544 0.564 0.000 0.004 0.432
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.0707 0.7558 0.000 0.980 0.000 0.020
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 4 0.9324 0.1294 0.276 0.320 0.084 0.320
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 4 0.4776 0.2990 0.376 0.000 0.000 0.624
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 4 0.4804 0.3097 0.384 0.000 0.000 0.616
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.4916 0.2481 0.576 0.000 0.000 0.424
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 4 0.6477 0.3504 0.100 0.300 0.000 0.600
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 2 0.3498 0.7292 0.008 0.832 0.000 0.160
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 2 0.7621 0.1575 0.212 0.444 0.000 0.344
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 2 0.5318 0.6684 0.072 0.732 0.000 0.196
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 2 0.7284 -0.1075 0.000 0.428 0.424 0.148
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 2 0.7834 0.4058 0.204 0.512 0.016 0.268
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.4406 0.4588 0.700 0.000 0.000 0.300
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.5742 0.4397 0.664 0.000 0.060 0.276
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 1 0.7886 0.0780 0.472 0.268 0.008 0.252
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.1854 0.7406 0.000 0.940 0.048 0.012
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.0336 0.7579 0.000 0.992 0.000 0.008
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 2 0.4781 0.7413 0.068 0.816 0.028 0.088
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.0336 0.8608 0.000 0.000 0.992 0.008
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 1 0.4163 0.5308 0.792 0.188 0.000 0.020
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 2 0.6664 0.5336 0.164 0.620 0.000 0.216
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 2 0.2973 0.7522 0.020 0.884 0.000 0.096
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.2011 0.8548 0.000 0.000 0.920 0.080
#> CA356591-D24F-41A8-8C9A-1178C7781510 2 0.0927 0.7594 0.016 0.976 0.000 0.008
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.0188 0.8601 0.000 0.000 0.996 0.004
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.3356 0.5799 0.824 0.000 0.000 0.176
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 2 0.5579 -0.22600 0.000 0.508 0.000 0.072 0.420
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 4 0.4891 0.32270 0.068 0.000 0.224 0.704 0.004
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 4 0.5764 0.12530 0.004 0.084 0.000 0.548 0.364
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.1485 0.74919 0.020 0.948 0.000 0.000 0.032
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 5 0.5631 0.12007 0.020 0.040 0.000 0.400 0.540
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 1 0.3928 0.57010 0.700 0.000 0.000 0.296 0.004
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 5 0.6188 0.37146 0.000 0.416 0.000 0.136 0.448
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 5 0.5223 0.58582 0.008 0.316 0.000 0.048 0.628
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.3690 0.59781 0.000 0.764 0.000 0.012 0.224
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.0794 0.74912 0.000 0.972 0.000 0.000 0.028
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.4429 0.63325 0.160 0.772 0.000 0.016 0.052
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.0000 0.79171 0.000 0.000 1.000 0.000 0.000
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 4 0.4082 0.45177 0.160 0.000 0.044 0.788 0.008
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.3477 0.64033 0.000 0.824 0.000 0.040 0.136
#> ECB2DF14-CF68-44D4-8719-973AE448B992 4 0.4802 0.60416 0.060 0.020 0.000 0.744 0.176
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 2 0.1356 0.74969 0.012 0.956 0.000 0.004 0.028
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 3 0.4983 0.63107 0.028 0.000 0.672 0.280 0.020
#> 3282F146-2782-4877-9EFE-6020AC277A8C 2 0.5641 -0.27650 0.000 0.488 0.000 0.076 0.436
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 5 0.4101 0.64632 0.000 0.184 0.000 0.048 0.768
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 1 0.5985 0.56255 0.636 0.064 0.000 0.052 0.248
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 2 0.4588 0.33017 0.000 0.604 0.000 0.380 0.016
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 5 0.5727 0.59794 0.128 0.208 0.000 0.012 0.652
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.1544 0.73719 0.000 0.932 0.000 0.000 0.068
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 1 0.5448 0.63862 0.716 0.000 0.156 0.048 0.080
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 5 0.2358 0.56207 0.012 0.048 0.004 0.020 0.916
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 5 0.2270 0.53470 0.000 0.020 0.000 0.076 0.904
#> C945DDA9-0194-46F4-89E2-13883284D5A4 5 0.4545 0.60607 0.012 0.128 0.056 0.016 0.788
#> 79B11925-9772-474F-A729-D00315959710 1 0.4547 0.41136 0.588 0.000 0.000 0.400 0.012
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 4 0.6783 -0.26710 0.000 0.296 0.000 0.388 0.316
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 3 0.8170 0.06933 0.284 0.000 0.372 0.224 0.120
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 5 0.5254 0.43623 0.000 0.084 0.000 0.272 0.644
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 4 0.5687 0.30185 0.316 0.000 0.000 0.580 0.104
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 5 0.5129 0.57897 0.000 0.328 0.000 0.056 0.616
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 1 0.7381 0.21581 0.436 0.000 0.348 0.060 0.156
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.0404 0.79316 0.000 0.000 0.988 0.012 0.000
#> 26796E5F-C0C2-466C-9012-882F6D29C149 5 0.6420 0.53607 0.000 0.300 0.000 0.204 0.496
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 0.3412 0.67698 0.820 0.000 0.000 0.152 0.028
#> 1492D21A-6458-4B49-B530-7A327FCDD031 1 0.4697 0.59722 0.660 0.000 0.000 0.036 0.304
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 5 0.5795 0.63468 0.012 0.224 0.000 0.124 0.640
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 2 0.5563 0.29892 0.012 0.632 0.000 0.076 0.280
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.2136 0.69233 0.904 0.000 0.000 0.088 0.008
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 5 0.3673 0.40825 0.164 0.004 0.004 0.020 0.808
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.5237 0.38901 0.000 0.664 0.000 0.100 0.236
#> E846120D-D9E6-46F8-9647-2272AB064072 4 0.5823 0.33282 0.180 0.000 0.188 0.628 0.004
#> 36880C8C-91A9-49A9-A2D5-957161737F31 2 0.6493 -0.12617 0.188 0.428 0.000 0.384 0.000
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.1410 0.74230 0.000 0.940 0.000 0.060 0.000
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 1 0.2872 0.67558 0.884 0.048 0.000 0.008 0.060
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 1 0.5458 0.57374 0.616 0.000 0.004 0.076 0.304
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 4 0.4265 0.47407 0.008 0.012 0.000 0.712 0.268
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 4 0.5836 0.47696 0.204 0.084 0.000 0.668 0.044
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 4 0.1965 0.60311 0.024 0.000 0.000 0.924 0.052
#> 116F3F29-AB89-4F00-9003-559041E285EB 2 0.6029 0.30483 0.000 0.520 0.004 0.368 0.108
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.1153 0.75139 0.008 0.964 0.000 0.004 0.024
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 4 0.3265 0.62808 0.040 0.008 0.000 0.856 0.096
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 5 0.5364 0.52562 0.000 0.364 0.000 0.064 0.572
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 5 0.4412 0.63762 0.000 0.164 0.000 0.080 0.756
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 1 0.2157 0.68736 0.928 0.024 0.004 0.028 0.016
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 2 0.4009 0.31886 0.000 0.684 0.004 0.000 0.312
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 2 0.4635 0.64771 0.064 0.776 0.032 0.000 0.128
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.4505 0.42675 0.604 0.000 0.000 0.384 0.012
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 3 0.3381 0.73549 0.004 0.000 0.820 0.016 0.160
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.6350 0.14286 0.240 0.524 0.000 0.236 0.000
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 5 0.7046 -0.26605 0.000 0.008 0.304 0.328 0.360
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 1 0.5639 0.54106 0.588 0.000 0.004 0.084 0.324
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#> 7A182F36-4FFE-4161-BE92-964B0E99F36A 2 0.2423 0.71743 0.000 0.896 0.000 0.024 0.080
#> 23BF8F44-4EFB-491D-AAFF-F27386D0B6BD 3 0.7677 0.16791 0.048 0.000 0.344 0.284 0.324
#> 858BE3D5-C06D-4151-8B99-5EBD0E239464 5 0.4087 0.64215 0.000 0.208 0.000 0.036 0.756
#> 0FDD3460-5C5B-4AA2-99DC-3DEED4025172 5 0.4723 0.38470 0.000 0.448 0.016 0.000 0.536
#> 7E809698-2473-4EFE-B896-1637983EC596 5 0.5142 0.55563 0.000 0.348 0.000 0.052 0.600
#> 42F39521-E1B9-47BB-B160-DA35133A9C87 3 0.3420 0.77059 0.000 0.000 0.840 0.076 0.084
#> 1753571F-E6CB-459B-86F0-6304FC8A19AC 3 0.0162 0.79179 0.004 0.000 0.996 0.000 0.000
#> B1713B79-888A-4077-A9F3-C47FC754EBD4 2 0.0798 0.75189 0.000 0.976 0.000 0.008 0.016
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.2390 0.69513 0.896 0.000 0.000 0.084 0.020
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 4 0.3789 0.45462 0.212 0.000 0.000 0.768 0.020
#> 73F28A79-7D35-4FE9-849D-FFE681483928 5 0.3427 0.54531 0.012 0.032 0.000 0.112 0.844
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 4 0.4946 0.44647 0.168 0.000 0.000 0.712 0.120
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 5 0.7070 -0.21199 0.012 0.000 0.284 0.300 0.404
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 1 0.3783 0.60311 0.768 0.000 0.216 0.012 0.004
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.1892 0.72821 0.000 0.916 0.004 0.000 0.080
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.3241 0.67881 0.832 0.000 0.000 0.144 0.024
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 5 0.7076 0.31857 0.020 0.208 0.000 0.368 0.404
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 1 0.5245 0.59273 0.640 0.000 0.000 0.080 0.280
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 1 0.6324 0.52453 0.564 0.000 0.040 0.080 0.316
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.1544 0.78903 0.000 0.000 0.932 0.068 0.000
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.2674 0.68514 0.868 0.000 0.000 0.120 0.012
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 5 0.5751 0.44774 0.076 0.404 0.000 0.004 0.516
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 5 0.5113 0.57623 0.000 0.324 0.000 0.056 0.620
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 2 0.4307 0.63969 0.156 0.784 0.044 0.004 0.012
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 4 0.6242 -0.04540 0.000 0.408 0.000 0.448 0.144
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 5 0.5564 0.60274 0.004 0.284 0.000 0.092 0.620
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 1 0.5978 0.40100 0.564 0.104 0.000 0.324 0.008
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 4 0.6933 -0.26051 0.004 0.316 0.000 0.376 0.304
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.4201 0.52475 0.664 0.000 0.000 0.328 0.008
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.4948 0.64253 0.016 0.000 0.676 0.276 0.032
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.3805 0.62981 0.784 0.000 0.184 0.032 0.000
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.6875 0.24220 0.460 0.032 0.000 0.136 0.372
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.5441 0.51196 0.596 0.000 0.000 0.324 0.080
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.0579 0.75241 0.000 0.984 0.000 0.008 0.008
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 5 0.7193 0.59413 0.012 0.212 0.116 0.084 0.576
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 5 0.5390 -0.00417 0.076 0.000 0.000 0.324 0.600
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 5 0.4863 0.26803 0.064 0.008 0.000 0.212 0.716
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.4603 0.55528 0.668 0.000 0.000 0.300 0.032
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 5 0.6624 0.49243 0.000 0.264 0.000 0.280 0.456
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 2 0.6051 -0.26606 0.000 0.476 0.000 0.120 0.404
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 5 0.6187 0.50809 0.008 0.372 0.000 0.112 0.508
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 5 0.5629 0.57521 0.000 0.312 0.000 0.100 0.588
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 4 0.6834 0.04310 0.000 0.368 0.240 0.388 0.004
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 5 0.6030 0.57713 0.024 0.124 0.024 0.140 0.688
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.5595 0.61038 0.656 0.000 0.004 0.180 0.160
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.4550 0.66868 0.760 0.000 0.004 0.136 0.100
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 5 0.4440 0.64591 0.012 0.200 0.008 0.024 0.756
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.1116 0.74954 0.000 0.964 0.028 0.004 0.004
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.1412 0.75219 0.004 0.952 0.000 0.008 0.036
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 5 0.5012 0.58839 0.000 0.288 0.032 0.016 0.664
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.0324 0.79197 0.000 0.000 0.992 0.004 0.004
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 1 0.2332 0.67684 0.904 0.076 0.000 0.016 0.004
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 5 0.4679 0.64022 0.000 0.216 0.000 0.068 0.716
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 2 0.5198 0.31727 0.004 0.648 0.000 0.064 0.284
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.4037 0.73484 0.008 0.000 0.776 0.188 0.028
#> CA356591-D24F-41A8-8C9A-1178C7781510 2 0.4358 0.55133 0.000 0.736 0.008 0.028 0.228
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.0162 0.79115 0.004 0.000 0.996 0.000 0.000
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.2172 0.69588 0.908 0.000 0.000 0.076 0.016
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 6374E253-2CE1-4CE1-B6E9-9302A951533D 4 0.3599 0.57882 0.004 0.084 0.012 0.836 0.016 0.048
#> 8839B692-AC8F-4A1D-B94B-473B1BBF448B 6 0.4289 0.23206 0.040 0.000 0.192 0.000 0.028 0.740
#> D22B2633-C1CF-4E5E-A3AC-983ABA7776F3 4 0.4265 0.18962 0.000 0.016 0.000 0.596 0.004 0.384
#> 5AE9ED6D-65A9-4C7F-94D7-4ED96D2AB3E9 2 0.2276 0.73234 0.052 0.908 0.000 0.016 0.020 0.004
#> 3E02B5C5-1842-4151-8628-ACD2790215E4 4 0.4706 0.31638 0.008 0.000 0.004 0.668 0.056 0.264
#> 94C80946-14E8-4CFB-9A66-CA0BF64D5466 1 0.4204 0.55931 0.688 0.004 0.000 0.000 0.036 0.272
#> EB63A0FE-B591-4A4C-B4BD-8BF3790CC88E 4 0.6728 0.36290 0.000 0.236 0.004 0.524 0.112 0.124
#> E00D0266-7FA6-4976-9AB7-2BF8E92D4BE5 4 0.4837 0.53914 0.004 0.128 0.000 0.700 0.160 0.008
#> 9FC57F0E-A21A-4D05-85A6-764AFF321301 2 0.4169 0.63191 0.000 0.752 0.000 0.048 0.180 0.020
#> 15037D3D-2D9B-4640-B6C5-E3C2951AC0B8 2 0.1007 0.73829 0.004 0.968 0.000 0.008 0.016 0.004
#> 52CC5ABB-E3DD-4CCF-A5C6-3DDCD8D7A9DA 2 0.7121 0.21188 0.236 0.444 0.008 0.260 0.016 0.036
#> CEDFB044-C1DF-4928-AE25-EF2DC81006CD 3 0.0436 0.72816 0.004 0.000 0.988 0.004 0.004 0.000
#> 40A58FA6-9329-4E4A-A4C0-C9EE3FA3427D 6 0.4014 0.31476 0.148 0.000 0.020 0.000 0.056 0.776
#> 96955B7B-5AFE-4CEE-B27F-0EEDAA90949D 2 0.5114 0.07815 0.000 0.492 0.000 0.444 0.012 0.052
#> ECB2DF14-CF68-44D4-8719-973AE448B992 6 0.5481 0.27859 0.068 0.016 0.000 0.408 0.004 0.504
#> 6D90549C-3B99-4DFC-996D-86211498A8C5 2 0.2606 0.74036 0.028 0.896 0.000 0.032 0.036 0.008
#> 9254818C-EBD1-41E3-9EAB-47A86ECD3913 3 0.6460 0.36748 0.040 0.000 0.420 0.000 0.164 0.376
#> 3282F146-2782-4877-9EFE-6020AC277A8C 4 0.4027 0.57367 0.000 0.156 0.000 0.772 0.020 0.052
#> F93E0576-DD34-43BB-925D-56E9A03F14A2 5 0.4644 0.14743 0.000 0.032 0.000 0.440 0.524 0.004
#> 2AE6AABF-F634-4A46-BC6B-950E7EC8E435 5 0.6214 0.24915 0.276 0.068 0.000 0.040 0.576 0.040
#> EADF2ED9-D1DE-4676-9BBA-6DA0B61A8737 6 0.5442 0.30946 0.008 0.088 0.000 0.360 0.004 0.540
#> 2C30E6F2-734D-452C-8C31-4707DF7ED837 5 0.6164 0.27504 0.044 0.124 0.000 0.280 0.548 0.004
#> 9332FEF9-623A-4234-B6A9-D200E32A5A85 2 0.2182 0.72801 0.000 0.900 0.000 0.076 0.020 0.004
#> DF7F3E76-D200-410B-9A31-DA4EF3D03860 1 0.7296 0.26884 0.420 0.004 0.196 0.000 0.264 0.116
#> D2A74F41-5391-4D1B-BC43-3FCCBD9F8600 5 0.4181 0.31755 0.004 0.004 0.000 0.368 0.616 0.008
#> 804CD40E-0E8B-4AF9-8C07-9CB92B1EF049 5 0.4391 0.34943 0.000 0.008 0.000 0.320 0.644 0.028
#> C945DDA9-0194-46F4-89E2-13883284D5A4 4 0.5357 0.17734 0.004 0.000 0.132 0.584 0.280 0.000
#> 79B11925-9772-474F-A729-D00315959710 1 0.3996 0.46714 0.636 0.004 0.000 0.000 0.008 0.352
#> 192D2069-D96F-40A5-A77F-E8264BACEDB1 4 0.5850 0.33186 0.000 0.084 0.000 0.580 0.060 0.276
#> 68900FD6-8014-44DA-B67D-CBA9140A1D3F 5 0.7518 -0.01881 0.164 0.000 0.200 0.000 0.320 0.316
#> 50E5597F-CD6F-4816-9E37-A5A651D65E96 4 0.3992 0.47859 0.000 0.000 0.000 0.748 0.072 0.180
#> 52EC9A4B-8802-4B9B-8B86-47165C10A389 6 0.6732 0.22834 0.308 0.008 0.000 0.172 0.048 0.464
#> B04AA6FE-DE3C-4387-8249-BB29B873FF1F 4 0.5701 0.42306 0.000 0.228 0.000 0.524 0.248 0.000
#> 4B6BBFAD-57D4-4023-BF10-A045308016E2 5 0.7185 0.10568 0.156 0.000 0.224 0.000 0.448 0.172
#> C322AED8-04FE-4F5A-BB6C-DEC20FDFFEAB 3 0.0260 0.73176 0.000 0.000 0.992 0.000 0.000 0.008
#> 26796E5F-C0C2-466C-9012-882F6D29C149 4 0.4040 0.53504 0.000 0.024 0.004 0.788 0.056 0.128
#> A08507D2-0217-46FC-8DE0-F90007AA9DCB 1 0.4672 0.58761 0.700 0.004 0.000 0.000 0.144 0.152
#> 1492D21A-6458-4B49-B530-7A327FCDD031 5 0.4833 0.23581 0.276 0.004 0.000 0.016 0.656 0.048
#> 70650E0D-3BC0-4359-BB36-D8487EABB6DC 4 0.3915 0.58799 0.008 0.052 0.000 0.816 0.072 0.052
#> 873FE591-6605-486C-AAAB-B5D6C2BB6FBF 4 0.5249 0.48390 0.004 0.260 0.000 0.636 0.020 0.080
#> B823982D-4102-4D21-B9CB-8C42830784F4 1 0.2704 0.62093 0.868 0.000 0.000 0.020 0.012 0.100
#> C64256A0-EB9B-490C-BD41-E29F2FF35D3D 5 0.3686 0.50624 0.064 0.020 0.000 0.084 0.824 0.008
#> B820B85D-58C6-4DC3-8675-A840265F1ECF 2 0.5039 0.41997 0.000 0.636 0.000 0.284 0.040 0.040
#> E846120D-D9E6-46F8-9647-2272AB064072 6 0.5851 0.20177 0.160 0.000 0.128 0.000 0.080 0.632
#> 36880C8C-91A9-49A9-A2D5-957161737F31 2 0.6232 -0.13061 0.396 0.408 0.000 0.000 0.020 0.176
#> D52CD6EF-111C-4B8F-8B57-0B55A4D33A04 2 0.1628 0.73778 0.008 0.940 0.000 0.012 0.004 0.036
#> B9C02C13-6E71-41F4-8A93-8D8C2926FEC7 1 0.4122 0.54595 0.804 0.048 0.000 0.088 0.016 0.044
#> 03B89560-E4DE-4B27-8DF9-D5C86C6E6AB6 5 0.4972 0.19853 0.256 0.000 0.000 0.000 0.628 0.116
#> C98ADEAD-A391-4A73-9FB9-39AEADE60D80 4 0.4257 -0.07506 0.004 0.004 0.000 0.504 0.004 0.484
#> 99FF6CF6-7BD6-44BB-A6BF-ED8CFB40581C 6 0.7198 0.35939 0.220 0.112 0.000 0.132 0.028 0.508
#> 36CC954C-F90E-41E8-87D3-1AEB51BAB83B 6 0.3475 0.50620 0.028 0.000 0.000 0.084 0.056 0.832
#> 116F3F29-AB89-4F00-9003-559041E285EB 6 0.6272 -0.00431 0.000 0.172 0.000 0.380 0.024 0.424
#> 4ECB7DE9-908B-444F-89BB-8E02FF826908 2 0.1480 0.72571 0.020 0.940 0.000 0.000 0.040 0.000
#> B129684C-BA41-4FD2-B2BE-7AD9F43ED6A2 6 0.5174 0.29380 0.052 0.000 0.000 0.420 0.016 0.512
#> C1EE7F45-C972-4ED8-9173-EAC2D9E2B170 4 0.5730 0.45347 0.000 0.220 0.000 0.580 0.184 0.016
#> 7F6679C3-1EFF-4008-8D43-B6E75AE60E74 4 0.3761 0.48330 0.000 0.008 0.000 0.744 0.228 0.020
#> 6DB4F472-EBD6-4093-9ED5-6AEFB4E04149 1 0.2835 0.59081 0.892 0.032 0.008 0.024 0.020 0.024
#> 2BE0DF8E-7D02-421A-812F-1EA71BBD70B1 2 0.5126 0.30839 0.000 0.576 0.004 0.344 0.072 0.004
#> C7B624D3-2C1B-4242-B6B4-BDAEDC4C67B8 2 0.6543 0.59390 0.076 0.636 0.076 0.136 0.068 0.008
#> 299CB633-58A3-4275-BC08-E6F3669C365A 1 0.4062 0.44737 0.640 0.000 0.000 0.012 0.004 0.344
#> 6818B91B-A181-4345-9938-B75B43BA6C2E 3 0.3386 0.71060 0.000 0.000 0.832 0.024 0.104 0.040
#> F39FDB8C-1683-4A4F-83FD-A1521C972501 2 0.5272 0.09809 0.420 0.504 0.000 0.000 0.016 0.060
#> 5779D52D-4380-42D3-8E9F-169AB9DFCD3A 3 0.7130 0.35942 0.000 0.000 0.376 0.080 0.260 0.284
#> 22C7B2BE-F14E-48C8-8EBE-12B4DBC9DE3E 5 0.5242 0.19155 0.216 0.000 0.000 0.000 0.608 0.176
#> BAB6B076-4F0D-4081-977D-7F7C8182882E 4 0.6539 -0.02523 0.028 0.132 0.000 0.456 0.020 0.364
#> CD576099-5450-4232-9B59-08341BED8FFA 4 0.4961 0.51453 0.000 0.200 0.000 0.668 0.008 0.124
#> 55DE66CF-EFC1-4513-87CF-6DE234A25A4D 2 0.4112 0.63961 0.000 0.748 0.000 0.196 0.028 0.028
#> FB16D2B3-47E5-4D14-801D-97BFD0B85A37 6 0.6054 0.39950 0.252 0.000 0.000 0.232 0.012 0.504
#> 51931C0C-F10D-404F-BC9C-E9F1B755AC99 1 0.2915 0.59492 0.808 0.000 0.000 0.000 0.008 0.184
#> C1AEFA60-4226-4929-A709-A0F67DCD7838 2 0.4113 0.48685 0.000 0.668 0.000 0.308 0.008 0.016
#> 08191513-AD7F-4EED-8517-5AA2254F9D64 2 0.8249 0.17525 0.140 0.360 0.060 0.320 0.104 0.016
#> E59FE80A-6DAA-4E44-BD9D-4C31A0A827AD 3 0.6042 0.41429 0.000 0.004 0.540 0.132 0.028 0.296
#> B465060B-E6BE-452F-BC07-13EFE6C98ECA 5 0.5769 0.38184 0.276 0.000 0.000 0.220 0.504 0.000
#> 57E380FC-B6AB-466F-9936-D52192888008 1 0.2604 0.61607 0.884 0.064 0.000 0.004 0.044 0.004
#> 1C59764F-80C5-4BAB-A02F-F5D8A6491551 4 0.3423 0.59288 0.004 0.108 0.000 0.832 0.020 0.036
#> 8556501D-640A-4681-B5FB-716DEC14F7BE 1 0.5346 0.57971 0.672 0.004 0.000 0.036 0.180 0.108
#> EF4AAB43-77FB-4BDB-8A55-6F86E3907043 2 0.3648 0.70071 0.000 0.820 0.000 0.068 0.028 0.084
#> 1D4F0B66-720D-484D-B8D5-2B290ED208A8 6 0.5372 0.43429 0.000 0.040 0.024 0.248 0.036 0.652
#> C886CA33-5080-4E3E-88A2-F9A3CF03A857 3 0.6574 0.34755 0.032 0.000 0.400 0.004 0.184 0.380
#> 9AC963E4-F82D-460E-9CAD-C651B879780A 5 0.5789 0.10061 0.000 0.168 0.000 0.336 0.492 0.004
#> 1B6CF403-D0AE-4FFE-A884-660A58F32660 6 0.3930 0.28234 0.000 0.000 0.000 0.420 0.004 0.576
#> B33316E1-11FD-4C10-956A-C9C6F78508C5 4 0.5880 0.34280 0.164 0.004 0.000 0.640 0.104 0.088
#> BB02EF6A-C57D-4A79-99C1-ED43A72FFAF7 2 0.3262 0.66346 0.000 0.800 0.004 0.180 0.012 0.004
#> 4DBA59AD-9393-4BE6-88CB-852C62C4A334 3 0.8074 0.26655 0.000 0.056 0.400 0.220 0.188 0.136
#> 7887EDC4-A0D7-4E57-B3A1-330A5683457D 5 0.4072 0.17319 0.000 0.000 0.000 0.448 0.544 0.008
#> 2CD3AC14-46FB-4260-AE5C-4305C68D49BC 4 0.4330 0.55102 0.000 0.076 0.000 0.756 0.024 0.144
#> BAB8FA79-208A-488D-B955-806263E5D6BB 4 0.3092 0.58610 0.000 0.088 0.000 0.852 0.016 0.044
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#> B1713B79-888A-4077-A9F3-C47FC754EBD4 2 0.2277 0.73216 0.000 0.908 0.000 0.032 0.028 0.032
#> 749025DE-73B0-4880-B777-ECC0BE40E9E1 1 0.4302 0.52777 0.756 0.000 0.000 0.080 0.020 0.144
#> A59534F6-8637-41FB-A8C2-F8ABAB4E3668 6 0.4904 0.33583 0.252 0.000 0.000 0.088 0.008 0.652
#> 73F28A79-7D35-4FE9-849D-FFE681483928 4 0.3409 0.54154 0.004 0.000 0.000 0.808 0.144 0.044
#> DBE10F31-6457-4799-A91A-0969ED58A0F4 6 0.5672 0.43281 0.088 0.000 0.000 0.120 0.136 0.656
#> 40DCBF0D-DA1D-4907-880B-6D12C6C965B0 5 0.7366 -0.05044 0.004 0.000 0.216 0.104 0.364 0.312
#> 3D14F909-A921-43CB-96E8-5F18FC475E49 1 0.3678 0.51750 0.748 0.000 0.228 0.008 0.016 0.000
#> E4E9D828-3904-4014-B1B0-FBF71D4416EB 2 0.2635 0.72085 0.008 0.884 0.000 0.036 0.068 0.004
#> 7DDC76C2-FE27-4B8C-B750-39F28A057257 1 0.3877 0.60798 0.764 0.000 0.000 0.000 0.076 0.160
#> 340E8861-0515-4EC4-B22E-4C9521A16C15 4 0.4655 0.33428 0.032 0.012 0.000 0.688 0.016 0.252
#> 97FD71A9-2239-4BA0-88DF-0E18774CEE00 5 0.5991 -0.08325 0.360 0.004 0.000 0.016 0.488 0.132
#> 1BF5E7CD-008A-4CC2-B8A7-7F8E01036D72 5 0.5819 0.24338 0.172 0.000 0.040 0.000 0.608 0.180
#> FCC6DE34-0C03-4415-8A7A-3FA5DDBA3105 3 0.2932 0.71291 0.000 0.000 0.820 0.000 0.016 0.164
#> F00AFE69-7AA7-49BF-8A46-33CCB5643B1E 1 0.3416 0.61845 0.804 0.000 0.000 0.000 0.056 0.140
#> 5399B74F-0077-4344-8FEF-5FD21F1FA58F 4 0.6801 0.12670 0.024 0.336 0.000 0.352 0.280 0.008
#> 76E8D0C1-78E6-469C-878D-BB9D611DB735 4 0.4770 0.55173 0.000 0.164 0.000 0.696 0.132 0.008
#> C35CBC8E-8243-4AB8-BA23-61DAC181B983 1 0.8139 -0.00806 0.380 0.304 0.144 0.116 0.024 0.032
#> 9ABE2925-DC30-49FC-9A27-1191E2A3388F 4 0.5198 0.05231 0.000 0.056 0.000 0.528 0.016 0.400
#> C0EC6915-DCA2-48A6-9B6A-171502178AA3 4 0.3818 0.55307 0.000 0.048 0.000 0.796 0.132 0.024
#> 432CE029-5BE4-48ED-9CED-B8FF2CB4AFEC 1 0.5530 0.51571 0.636 0.072 0.000 0.020 0.024 0.248
#> 3B9FEA58-E3E7-4F8B-BDD1-4E97AAB310B6 4 0.6509 0.28992 0.000 0.164 0.000 0.476 0.052 0.308
#> 61AD6A73-A8C1-4C5C-9D6B-45D3831A4F0C 1 0.4224 0.45219 0.640 0.000 0.000 0.016 0.008 0.336
#> 5549E32A-A485-4FFA-8363-9700AA8C92B7 3 0.6332 0.38471 0.028 0.000 0.424 0.000 0.172 0.376
#> 42255FA4-6E66-461B-B6EF-C7CB27C4370F 1 0.3456 0.58296 0.800 0.000 0.164 0.004 0.028 0.004
#> B7719660-1262-4E18-B6D3-FBAD6137DB22 1 0.7708 0.16591 0.436 0.040 0.000 0.240 0.112 0.172
#> 83E80F88-7F57-4BFE-B528-49C96BB8B970 1 0.5883 0.34643 0.436 0.000 0.000 0.000 0.204 0.360
#> 2CAC1B67-18C9-459B-8398-2CCA0E2C44AC 2 0.0767 0.73861 0.000 0.976 0.000 0.012 0.008 0.004
#> B3D17D9D-B753-40E0-A289-72F94F478C4C 4 0.5476 0.53526 0.016 0.028 0.096 0.728 0.064 0.068
#> 3786C1AD-F06B-4A0D-B633-B86D2082AFEF 4 0.6717 -0.01367 0.048 0.000 0.000 0.420 0.212 0.320
#> 1839B1D7-F5D9-4D6D-8AB4-64656DFA38F5 5 0.4607 0.46132 0.048 0.000 0.000 0.084 0.748 0.120
#> C6DD8040-FBB2-4A98-AC2B-36DE345532EB 1 0.5270 0.51197 0.588 0.000 0.000 0.000 0.144 0.268
#> 1CBF5BEA-00B4-4F17-A6EC-4F3354CC15EB 4 0.3816 0.47387 0.000 0.028 0.000 0.760 0.012 0.200
#> 258EB185-DECE-41B5-8EE3-C3883D7285F8 4 0.4623 0.53457 0.000 0.192 0.000 0.708 0.012 0.088
#> 9C9BB49E-493B-4DBB-9FC8-F304B1D742F4 4 0.4529 0.57787 0.000 0.188 0.000 0.728 0.044 0.040
#> 051FBD9E-564F-4E17-851A-CF3980457DF9 4 0.5155 0.55179 0.000 0.132 0.000 0.684 0.152 0.032
#> 44EB6D2D-6A11-4235-BEE2-19744C26C104 6 0.7835 0.16184 0.000 0.208 0.200 0.136 0.036 0.420
#> F177F929-546B-4A0F-A7F9-32477B32C1DA 4 0.4364 0.52788 0.008 0.000 0.040 0.780 0.076 0.096
#> 9C01F1DD-7AFD-43D6-A824-29A61A07F103 1 0.6018 0.32649 0.420 0.000 0.000 0.000 0.324 0.256
#> EF2446B3-18FA-4CDF-A39B-ED70FF952B4B 1 0.6379 0.37130 0.460 0.016 0.004 0.000 0.288 0.232
#> 79EF6FB4-0968-4A2E-8CE8-9A67FBD5F408 4 0.4315 0.39784 0.004 0.008 0.028 0.708 0.248 0.004
#> 5FCAF646-B82E-4CF5-9FEF-339105444B45 2 0.1880 0.73996 0.004 0.932 0.020 0.032 0.008 0.004
#> AC629EEC-9C39-4445-9A30-EC2EF52DB41F 2 0.4771 0.03949 0.008 0.484 0.004 0.484 0.012 0.008
#> A7C07081-F6D3-47F0-96DA-D5C6FCE58040 4 0.6377 0.18415 0.000 0.076 0.080 0.516 0.320 0.008
#> 10EA52A2-FD54-4C34-965A-9CC66C161CF1 3 0.0798 0.72579 0.004 0.000 0.976 0.004 0.012 0.004
#> 0C887B65-DB94-446E-B9BA-646CECA2154C 1 0.4154 0.53839 0.740 0.208 0.000 0.004 0.036 0.012
#> 2F71AA2B-4CE9-47D8-AA65-02090A0939CD 5 0.5636 0.16654 0.000 0.124 0.000 0.324 0.540 0.012
#> C75FE73A-7F99-41C8-9B0F-0CB839ADEA39 4 0.4686 0.52496 0.000 0.212 0.000 0.700 0.020 0.068
#> 07F29A3E-F230-4AB3-A474-E841533D1FDE 3 0.6441 0.45481 0.032 0.000 0.468 0.000 0.216 0.284
#> CA356591-D24F-41A8-8C9A-1178C7781510 2 0.4874 0.62764 0.000 0.716 0.000 0.144 0.104 0.036
#> F1A533BE-D13F-4DFF-B160-9C472EFFFEB4 3 0.0291 0.72994 0.000 0.000 0.992 0.000 0.004 0.004
#> 825309CC-4841-4475-BF77-8250C5EEADD8 1 0.3150 0.62487 0.832 0.000 0.000 0.000 0.064 0.104
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